AI Scientific Illustration Gallery

A professional 3D isometric schematic diagram illustrating the architecture of a high-performance SmartNIC named 'SchedraNIC'. The diagram depicts data flow originating from a server CPU (Host), traversing a PCIe Gen4 interface, and entering a Xilinx FPGA. Within the FPGA, three modular blocks are highlighted with a glowing effect: 1. A 'RAM-based Multi-Queue Manager' showcasing a linked-list structure comprising 8192 parallel flow queues; 2. A 'Pipelined BMW-PIFO Scheduler' visualized as a 4-way balanced comparison tree incorporating a multi-stage execution pipeline; 3. A 'Unified Interface' displaying PUSH and POP logic gates. The color palette employs a professional tech aesthetic, utilizing deep navy blue, silver, and cyan light to represent data paths. The overall aesthetic emphasizes a high-tech look with clean lines, set against a white background, rendered in 8k resolution with cinematic lighting, and presented in a scientific illustration style.

A 16:9 landscape comparative diagram, employing a clear and professional scientific illustration style with a pure white background, devoid of any background colors or gradients. The layout is symmetrical, with "Conventional Pyrolysis" on the left and "Microwave Pyrolysis" on the right. Both sides feature identical particle cross-sectional structures for easy visual comparison. All Chinese text is in SimSun font, and all text labels are placed outside the corresponding graphics in the blank space, with thin lines pointing to the relevant areas, ensuring that the text does not obscure any image elements. Left Area (Conventional Pyrolysis): The title "Conventional Pyrolysis" is labeled in SimSun font and placed in the blank space above the area. A spherical or near-spherical particle cross-section is drawn, representing a composite particle of plastic and biomass. The cross-section is divided into two layers: an outer layer (shell) and an inner layer (core). The outer layer is filled with a light brown or light gray translucent color, and the inner layer is filled with a dark brown or dark gray color, with the boundary clearly delineated by a thin line. - Mass Transfer Illustration: Several blue curved arrows are drawn, pointing from the inner layer of the particle to the outer layer, and then to the outside of the particle, indicating the "inside-out" mass transfer path of volatile components. The starting point of the arrows is located in the central area of the inner layer, and the ending point is located outside the particle, curving in a divergent manner. - Heat Transfer Illustration: Several red curved arrows are drawn, pointing from the outside of the particle to the inner layer, indicating the "outside-in" heat conduction path. The starting point of the arrows is located around the outside of the particle, and the ending point is located in the central area of the inner layer, curving in a convergent manner. Outside the particle cross-section (in the blank space below or to the side), the following is noted in SimSun font: "Heat is transferred from the furnace to the particle surface through conduction, convection, and direct radiation, and then from the surface to the core through conduction, forming an outside-in temperature gradient." The text is connected to the heat flow arrows on the outer surface of the particle with leader lines. Right Area (Microwave Pyrolysis): The title "Microwave Pyrolysis" is labeled in SimSun font and placed in the blank space above the area. A spherical particle cross-section (outer layer and inner layer) that is identical to the one on the left is drawn to maintain visual consistency. - Mass Transfer Illustration: Several blue curved arrows are drawn, pointing from the inner layer of the particle to the outer layer, and then to the outside of the particle, indicating the "inside-out" mass transfer path of volatile components. The arrow style is consistent with the mass transfer arrows on the left. - Heat Transfer Illustration: Several orange curved arrows are drawn, pointing from the central area of the inner layer of the particle to the outer layer, and then to the outside of the particle, indicating the "inside-out" heat transfer path. The starting point of the arrows is located in the core area of the inner layer, and the ending point is located outside the particle, curving in a divergent manner, parallel to the mass transfer arrows but in a different color. Outside the particle cross-section (in the blank space below or to the side), the following is noted in SimSun font: "During microwave-assisted pyrolysis, energy is directly transferred to the particle core, forming a core-to-surface temperature gradient, and the raw material does not need to be in physical contact with the heat source." The text is connected to the divergent microwave energy illustration inside the particle with leader lines. Leave sufficient space between the left and right groups. A comparison symbol (such as "VS" or a bidirectional arrow) can be added in the middle, but it should not obscure the graphic elements on either side. Leave approximately 0.5 cm of blank space at the bottom of the overall image, without any text or decorative elements.

A schematic diagram illustrates a Global Positioning System (GPS) network. Four GPS satellites, each distinguished by a unique color, are depicted orbiting the Earth. A GPS receiver is positioned on the Earth's surface, and dotted lines connect the receiver to each of the four satellites, representing the signal transmission paths.

Generate a schematic diagram illustrating the self-cleaning mechanism of a superhydrophobic self-cleaning coating. This figure is intended for use in a scientific research paper. The diagram should primarily depict the self-cleaning principle, including a rectangular silver-gray iron substrate coated with a gray-white superamphiphobic (superhydrophobic and superoleophobic) coating. Black and brown particles (representing dust, sand, and other contaminants) are adhered to the coating. Water droplets rolling across the surface (with a contact angle greater than 150 degrees, appearing as nearly spherical droplets) should be shown picking up and absorbing the dust particles. As the water droplets roll down the surface, they remove the contaminants, achieving the self-cleaning effect. Please generate this figure according to the standards for scientific illustrations, with clear and concise colors, and labeled explanations for each component.

Create a publication-ready graphical abstract depicting a horizontal timeline, suitable for a cardiology journal (JACC/European Heart Journal). The timeline should progress from left to right, with distinct timepoints connected by arrows. Employ minimal text, a structured layout, and a white background. The timeline should include the following stages: 1. Initial Condition (left): - Redo aortic valve replacement - Newly diagnosed HFrEF (Heart Failure with reduced Ejection Fraction) - ECG: pre-excitation ⬇️ 2. Index Event: - Syncope, chest pain, dyspnea - Two appropriate WCD (Wearable Cardioverter Defibrillator) shocks - WCD: ventricular fibrillation / polymorphic VT (Ventricular Tachycardia) ⬇️ 3. Diagnosis: - WPW (Wolff-Parkinson-White) syndrome - Suspected atrial fibrillation with rapid conduction via accessory pathway ⬇️ 4. Intervention (center, highlighted): - Catheter ablation (inferoseptal accessory pathway) - Radiofrequency ablation → immediate loss of pre-excitation - Adenosine test → conduction block confirmed ⬇️ 5. 3-Month Follow-Up: - Asymptomatic - No WCD shocks - CMR (Cardiac Magnetic Resonance): LVEF (Left Ventricular Ejection Fraction) 54% - Adenosine: complete AV (Atrioventricular) block - No ICD (Implantable Cardioverter-Defibrillator) indication ⬇️ 6. Subsequent Event (highlight in red): - NSTEMI (Non-ST-Elevation Myocardial Infarction)

Graphical Abstract (BioRender Layout) **TITLE (Top Center)** **“Cestrum nocturnum Essential Oil–Silver Nitrate Nanoemulsion for Enhanced Antifungal Activity”** **SECTION 1: INPUT MATERIALS (Left Side)** Arrange 4 icons horizontally: * 🌿 **Cestrum nocturnum (Raat Rani Oil)** * ⚗️ **Silver Nitrate (AgNO₃)** * 🧴 **Tween 80 (Surfactant)** * 💧 **Propylene Glycol (Co-surfactant)** Label below: **“Formulation Components”** **SECTION 2: PREPARATION PROCESS (Center Flow)** Arrow from materials → process Steps (use simple icons + arrows): 1. **Mix Tween 80 + Propylene Glycol** 2. **Add Raat Rani Oil** 3. **Add AgNO₃ solution** 4. **Stir & incubate (light-protected)** Label: **“Nanoemulsion Formation (O/W system)”** **SECTION 3: NANOEMULSION (CENTER IMAGE – MAIN FOCUS)** This is the most important visual Show: * Spherical droplets (nano-size) * Oil core (Raat Rani oil) * Ag⁺ ions distributed * Surfactant layer around droplets Label: **“Cestrum nocturnum Essential Oil-Silver Nitrate Nanoemulsion Characteristics”**

APPROVED. Based on the provided paper description, a graphical abstract suitable for publication should depict the functional differentiation of SpNramp1, SpNramp2, and SpNramp3 in *Spirodela polyrhiza* under combined cadmium (Cd) and nutrient deficiency stress. SpNramp1 functions as a major Cd transporter, with its expression strongly induced by iron (Fe) deficiency, leading to increased Cd accumulation and oxidative stress while maintaining biomass under Fe deficiency. SpNramp2 primarily contributes to Cd tolerance under sufficient nutrient conditions but is suppressed under Fe deficiency. SpNramp3 is more involved in maintaining manganese (Mn) homeostasis and alleviating oxidative damage, particularly under combined stress. The proposed working model (Fig. 7) suggests that SpNramp2 primarily contributes to Cd tolerance under Cd stress alone, whereas under combined Cd and Fe or Mn deficiency, SpNramp1 acts as the dominant transporter for Cd uptake, and SpNramp3 contributes to maintaining metal homeostasis and photosynthetic integrity. This highlights their functional divergence.

Design a clear, horizontal scientific graphical abstract for a paper investigating microbial contamination in university food service environments. The abstract should be visually divided into three interconnected conceptual zones: (1) Indoor Environment, (2) Food Handlers’ Hands, and (3) Food-Contact Surfaces. Zone 1 should depict a simplified kitchen air environment with subtle airborne microbial particles and deposition arrows indicating settling. Zone 2 should illustrate a food handler, emphasizing hand contact with or proximity to utensils and work surfaces. Zone 3 should showcase food-contact surfaces such as stainless-steel tables, trays, serving utensils, cutting boards, and equipment surfaces. Employ clear arrows to demonstrate: Airborne deposition of microbes from the indoor environment onto surfaces. Microbial transfer from hands to surfaces. Microbial transfer from surfaces to hands. Potential transfer of contamination from surfaces towards food handling and serving processes. Incorporate small, refined microbe symbols representing bacteria and fungi. Add a central conceptual label.

Graphical abstract illustrating the effect of carbon monoxide on oxygen transport in hemoglobin.

Cellular Ion Homeostasis under Salinity Stress: The SOS Pathway and Key Transporters. The core visual elements should include a plant cell cross-section illustrating key compartments: cell wall, plasma membrane, cytosol, and vacuole. The SOS signaling cascade should depict Na⁺ influx and a Ca²⁺ signal (as a wave) entering the cytosol. Illustrate the SOS3 protein binding calcium and activating the SOS2 kinase. Show an arrow from the SOS3-SOS2 complex phosphorylating and activating the SOS1 antiporter at the plasma membrane, with SOS1 actively pumping Na⁺ out of the cell using a H⁺ gradient. Complementary transport systems should show the NHX antiporter in the vacuolar membrane sequestering Na⁺ into the vacuole, and the H⁺-ATPase and H⁺-PPase pumps maintaining the essential proton gradient that powers both SOS1 and NHX. Finally, the xylem control point should include a simplified root xylem vessel next to the cell, showing the HKT1;5 transporter in the xylem parenchyma cells.

Layout Suggestions: Title: Genetically Engineered Plant Cell Factories: From Structural Remodeling to Functional Output Core Logic Flow (arrows to guide the eye): Gene Editing → Structural Change → Increased Yield and Quality Content Sections: Top Left: Genetic Engineering Technology and Structural Verification (Cause and Form) Figure: Side-by-side CLSM images (tubular ER in WT on the left, lamellar ER in mt1 on the right, arrows indicating changes). Figure caption: "Fig 1e: CRISPR/Cas9 editing leads to ER structural remodeling." Text: Core genetic engineering technology: CRISPR/Cas9 editing of the CCT gene to relieve self-inhibition. Conclusion: ER network density doubles, providing an expanded "workshop" for protein production. Top Center: Biochemical Basis and Quantitative Results (Quantity and Quality) Figure: Use a combination of bar graphs. First set of small figures: "Lipid analysis" results showing a 60% increase in PC content. Second set of small figures: "ELISA" results bar graph showing that the engineered strain (colored bars) has significantly higher antibody production than WT (gray bars). Text: Increased membrane lipid synthesis → Significant increase in antibody production (up to 4.3 times). Top Right: Quality Assessment and Secretion Verification (Quality and Outcome) Figure: Use chromatogram + schematic diagram. Top: "SEC chromatogram" showing that the proportion of the polymer main peak area of the engineered strain (solid line) is greater than that of WT (dashed line). Bottom: "Extracellular fluid extraction" schematic diagram (leaf → centrifugation → collect liquid), accompanied by a simple bar graph showing higher extracellular antibody content. Text: More complete antibody assembly → More functional antibodies secreted into the extracellular space. Bottom: Core Conclusion Box Text: Conclusion: Through CRISPR-mediated endoplasmic reticulum engineering, we have successfully transformed plants into efficient antibody production platforms, achieving a global enhancement of "structural expansion - yield increase - quality optimization - effective secretion". Visual: Highlight with a prominent border. Design Style: Maintain a simple scientific blue/green color scheme, unify the style of all charts, clear arrows and logic flow, and concise text.

Figure 3. Modes of RNA-based plant vaccination. This figure illustrates a comparative schematic of major delivery methods for RNA-based plant vaccination and their shared downstream outcome: systemic spread of silencing signals leading to crop protection. A left-to-right or radial layout is recommended, featuring five intervention modules converging on a common plant-response panel. Recommended Layout: Top/Left Intervention Panels: A. Transgenic expression B. Spray-induced gene silencing C. Post-harvest coatings D. Plasmid-mediated expression Right/Common Outcome Panel: E. Systemic spread and silencing outcomes This can be presented as a 5-panel figure or a single integrated schematic centered on a plant. Panel-by-Panel Outline: Panel A. Transgenic expression Visual: A plant cell depicting the nucleus and an integrated transgene cassette. The promoter drives the expression of hpRNA/dsRNA/amiRNA precursor, which is then processed into siRNAs. These siRNAs move into adjacent cells and vascular tissue. Key Labels: nuclear transgene, hairpin RNA / dsRNA precursor

APPROVED This graphical abstract depicts the engineering of apoptosis-resistant Chinese Hamster Ovary (CHO) cell lines to enhance recombinant protein production. CHO cells are widely used for therapeutic protein production, but apoptosis during large-scale bioreactor cultivation limits yields. This research aims to overcome this limitation by overexpressing microRNA-128 (miR-128) in CHO cells. MiR-128 simultaneously targets multiple pro-apoptotic genes, leading to improved cell viability and increased recombinant protein production. This approach addresses a critical bottleneck in animal cell biotechnology, offering a solution to improve the efficiency and reduce the costs associated with biopharmaceutical manufacturing.

Create a cartoon-style illustration depicting three types of fungal plant pathogens—hemibiotrophs, biotrophs, and necrotrophs—and their respective modes of action within a plant cell. Biotrophic pathogens form haustoria inside host cells to acquire nutrients, while biotrophs grow extracellularly between host cells. Hemibiotrophs use appressoria to penetrate host cells, later switching to necrotrophy upon secondary hyphal formation. Necrotrophs invade primarily through stomata via appressorium-like structures (ALS) or by directly invading host cells. The leading hyphal edge of necrotrophs grows intercellularly, similar to the biotrophic phase of hemibiotrophs. Please minimize the amount of text within the image.

1. Core Scene Depiction Generate a schematic diagram in a landscape format with a scientific vector illustration style, clearly showing the working principle of a modular CRISPR-Cas9 gene editing system for plants. 2. Detailed Scene Description (by module) Module 1: Plasmid Vector (pDV003 - Left) Draw a large circular plasmid. Label the "Pol II promoter (CmYLCV)" module on the ring, extending a long horizontal RNA chain (polycistronic transcript) from it. On the RNA chain, highlight two target sequences in bright red and bright orange, labeled as "gRNA: G5" and "gRNA: G4.2" respectively. Each target sequence is flanked by unique cleavage markers (such as diamonds or keyholes), representing "Csy4 recognition sites." Below the plasmid ring, draw a separate "reporter gene expression cassette" containing the "FMV34S promoter" and "chloroplast-targeted mCherry" icons. Label the "AarI site & ccdB negative selection gene" region at the bottom of the plasmid. Module 2: Csy4 Processing and gRNA Maturation (Middle) Next to the RNA chain, draw a blue or green "molecular scissors" shaped protein, labeled as "Csy4 ribonuclease." Clearly show Csy4 cutting at the two recognition sites, precisely cleaving the long RNA chain to release two independent, complete single-stranded gRNAs. Module 3: sgRNA Structure Optimization Close-up (Middle - Magnifying Glass Frame) Add a magnifying glass-style close-up frame to one of the released gRNAs. Inside the frame, compare side-by-side: Left (Standard): A simple short stem-loop structure, with the note "Standard sgRNA" and sequence "TTTT." Right (Optimized): A structure with a significantly longer stem-loop, with the note "Optimized sgRNA (Dang et al.)." Indicate "double-stranded region extension (+5 bp)" and "key mutation (T→C)" with arrows and text. Module 4: Cas9 Complex and Gene Editing (Right) Draw a clear structural model of the SpCas9 protein (multi-domain assembly). Show an optimized gRNA binding to Cas9 to form a "Cas9/gRNA ribonucleoprotein complex (RNP)." Draw two parallel blue genomic DNA double helices, labeled with target points "Genomic Locus G5" and "Genomic Locus G4.2". Show the Cas9 complex binding to the DNA target and creating a "DNA double-strand break (DSB)" upstream of the PAM sequence (indicated by a break or lightning symbol). 3. Style and Visual Requirements Overall style: Simple, semi-realistic scientific vector illustration with clear lines and precise structure. Color scheme: Use academic journal color schemes. It is recommended to use blue for DNA and RNA.

# PrimeGen Cover Design Brief ## Paper Background PrimeGen is a large language model-driven multi-agent system for automated PCR primer design and experiment execution. The system consists of a central controller and four specialized agents: a Search Agent that retrieves target sequences from biological databases, a Primer Agent that designs primer DNA sequences, a Protocol Agent that generates experimental scripts for liquid handling robots, and an Experiment Agent that monitors robot operations via three cameras and visual AI, automatically correcting anomalies. There is a clear information flow and feedback loop between agents. The system's effectiveness has been validated in four biological areas: SARS-CoV-2 virus whole-genome sequencing (131-plex), human genetic disease gene screening (955-plex, 1910 primers), Mycobacterium tuberculosis drug resistance SNP detection (1200 sites), and protein engineering of four enzyme mutants. Spanning a scale of 100,000-fold from virus to human genome, the same system completed all tasks. --- ## Visual Composition The overall composition is a dark-toned, vertical format, narrating a three-layered causal chain from top to bottom: 'AI agents → commanding robots → acting on various life forms.' ### Top Layer: Agent Intelligent Network The upper part of the image (below the journal title) presents an intelligent collaborative network composed of luminous nodes and information flow connections. The central node is the Controller, the largest and brightest, with a white core radiating a cyan-green light field and an iris-like concentric texture on its surface. Four specialized Agent nodes are distributed around the Controller, each with its own characteristics: the Search Agent has radar scanning ripples inside (cool white-blue), the Primer Agent has sequence code stripes inside (cyan-green), the Protocol Agent has logic module textures inside (warm white), and the Experiment Agent emits three scanning light beams downwards (amber-orange). The nodes are connected by translucent light bands with tiny particles flowing along the direction, expressing data transmission rather than chemical bonding. The Experiment Agent has a loopback connection returning to the Controller, forming a visible feedback loop. The overall impression should be of an 'organized, specialized intelligent collaboration system' rather than a molecular structure. ### Middle Layer: Liquid Handling Robot The middle of the image features a stylized liquid handling robot, retaining key features for recognizability: robotic arm, pipette tips, 96-well plate. Rendered with a holographic/translucent effect, edged with cyan-green glow to integrate with the overall luminous aesthetic, not depicted as an industrial product diagram. From the Experiment

Figure 1. Promoter Structure and the Grammar of Transcriptional Regulation. (A) Hierarchical organization of plant promoters is shown. The core promoter (approximately 50 bp around the transcription start site (TSS)) contains elements such as the TATA-box, Initiator (Inr), and downstream promoter element (DPE) that are responsible for positioning RNA polymerase II. Proximal promoter regions contain clustered transcription factor binding sites (TFBS) that confer regulatory specificity. Distal enhancers can be located thousands of base pairs from the TSS and interact with the promoter through chromatin looping. (B) Parameters of regulatory grammar are illustrated. Motif identity determines which transcription factors bind; motif orientation affects binding efficiency; motif spacing influences cooperative interactions; and helical phase determines whether factors bind on the same or opposite DNA faces. (C) Core promoter diversity is highlighted. TATA-containing promoters are enriched in stress-responsive genes, while TATA-less promoters often drive housekeeping gene expression. RNA polymerase III promoters exhibit upstream elements.

Create a graphical abstract representing a research project on familial prostate cancer based on the integration of genetic, epigenetic, and clinical data. The study is based on a cohort of patients with familial aggregation of prostate cancer, using germline DNA samples (blood or saliva) along with relevant clinical information (including PSA and tumor characteristics). The project uses whole-genome sequencing via Oxford Nanopore, which allows for the simultaneous detection of genetic variants and DNA methylation directly from native DNA. A comprehensive molecular characterization is obtained from these data, including genetic alterations and genome-wide methylation profiles. The central concept is the integration of these molecular layers with clinical data to identify functional relationships between genetics and epigenetics. This multi-omic integration is subsequently used to...

Scientific schematic diagram for a plant biotechnology review paper. Figure 1: Overview of genome editing tools for abiotic stress tolerance in sugar crops (sugarcane, sugar beet, sweet sorghum). The illustration features a white background, clean vector style, and journal-ready professional quality with clear labeling and soft colors (green, blue, orange). No 3D elements or shadows are included. The figure comprises four sections: 1. Three major genome editing tools: ZFNs, TALENs, and CRISPR/Cas9. 2. CRISPR/Cas9 mechanism: gRNA, Cas9, target DNA, PAM, and double-strand break (DSB). 3. Two DSB repair pathways: NHEJ (resulting in indels and knockout) and HDR (enabling precise repair). 4. Application: CRISPRa, CRISPRi, and Cas12a for enhancing drought, salt, and heat stress tolerance in sugar crops. Labels include: ZFNs, TALENs, CRISPR/Cas9, gRNA, Cas9, DSB, PAM, NHEJ, HDR, indels, donor DNA, CRISPRa, CRISPRi, Cas12a, abiotic stress (drought, salinity, heat), WRKY, NAC, DREB, transcription factors, and sugar crops. The style is a flat scientific illustration with high resolution, suitable for a peer-reviewed journal.

Suggested structure for the experimental workflow diagram (left to right or top to bottom): Overall suggestion: Divide into two main lines. Left side: Culture medium preparation process. Right side: Strain activation and inoculation process. Central intersection: Experimental grouping and cultivation. Bottom: Sampling and measurement process. 1. Culture Medium Preparation Process Step 1: Air Nanobubble Water Preparation Icon: Nanobubble generator, labeled "Air Source" Product: A bottle labeled "Air Nanobubble Water" Step 2: Double Concentration MSM Medium Preparation Icon: Erlenmeyer flask, labeled "2× MSM Medium" Step 3: Mixing and Preparation of Air-NBs-MSM Medium Icon: Two Erlenmeyer flasks pouring into one Erlenmeyer flask, labeled "1:1 Mixing" Final Product: Labeled "Air-NBs-MSM Medium" Step 4: Control Medium Icon: Another Erlenmeyer flask, labeled "Control-MSM Medium" 2. Strain Activation and Inoculation Process Step 1: Strain Revival (First Round of Activation) Icon: Strain tube taken from -80°C freezer → Inoculation into LB medium (30°C, 150 rpm, 48 h) Step 2: Second Round of Activation Icon: Take the above bacterial solution and inoculate into fresh LB medium (30°C, 150 rpm, 24 h) Step 3: Inoculum Preparation Icon: Centrifuge tube (labeled "8000 rpm, 6 min") Wash and resuspend Adjust OD₆₀₀ = 0.1 (can use a "Spectrophotometer" icon to illustrate) 3. Experimental Grouping and Cultivation Grouping Illustration Two Erlenmeyer flasks side by side: Left flask labeled "CK group (Control-MSM + bacterial solution)" Right flask labeled "Air-NBs group (Air-NBs-MSM + bacterial solution)" Below labeled "3 replicates/group" Cultivation Conditions Icon: Constant temperature shaking incubator, labeled "30°C, 150 rpm, 48 h" 4. Sampling and Measurement Process Time Point Illustration Timeline: 0, 6, 12, 18, 24, 30, 48 h Draw an arrow below each time point pointing to the "Sampling" step Sampling Step Icon: Take 1 mL of bacterial solution from the Erlenmeyer flask into a centrifuge tube Vortex mixing (can use a "Vortex Mixer" icon) Measurement Step Icon: 96-well plate (200 μL per well) Microplate reader, labeled "OD₆₀₀ measurement" Dissolved Oxygen Measurement Add a "Dissolved Oxygen Meter" icon next to the 24 h and 48 h time points Optional Enhancement Elements * Use different colors to distinguish process modules (e.g., blue for medium preparation, green for strain activation, orange for cultivation and measurement). * Connect each step with arrows to form a complete process. * Add brief text descriptions next to each step (e.g., "30°C, 150 rpm, 48 h"). * Add an asterisk or enlarge the icon at the intersection points (e.g., at the "Inoculation" point).

A horizontal scientific workflow diagram illustrating a protein-ligand discovery pipeline. Step 1: A protein list/database icon labeled 'Candidate Library'. Step 2: A large arrow leading to a 3D protein-protein complex icon (AlphaFold-Multimer style) with the label 'Structural Prediction'. Step 3: A funnel icon labeled 'Filtering', accompanied by smaller icons representing 'Scoring' and 'Binding Site Analysis'. Step 4: A final arrow leading to a small, highlighted list labeled 'Prioritized Targets'. Style: Minimalist, professional, clean lines, vector art. Color palette: Neutral (blues, grays, with a touch of orange to highlight hits). No background.

Generate a workflow diagram suitable for publication in Frontiers, based on the following study: 16S rRNA gene sequencing of bacteria isolated from the hindgut of third instar *Protaetia brevitarsis* larvae. BIONICS performed culturing and sequencing using the 518F/800R primer set with bidirectional Sanger sequencing (forward and reverse reads per isolate). A total of 592 isolates were analyzed, divided into the following sample sets: Set 1 (146 isolates, aerobic), Set 2 (146 isolates, aerobic), Set 3 (100 isolates, anaerobic), Set 4 (100 isolates, anaerobic), and Set 5 (100 isolates, anaerobic). Sequence processing involved: (1) Quality control, including CRLF standardization; (2) Directional separation of forward and reverse reads via regular expressions; (3) Consensus merging of aligned forward and reverse reads; and (4) Output of 592 high-quality consensus sequences. Taxonomic assignment was performed using BLAST+ 2.14 against the MIMt, NCBI 16S Microbial, and SILVA SSU r138.1 databases, with the following priority: MIMt > NCBI > SILVA. Taxonomic thresholds were: ≥99% for species, 97–99% for genus, 95–97% for family, and <95% indicating low confidence. An E-value of 1e-10 and a maximum of 5 hits were used. The databases utilized were: MIMt 16S (custom curated), NCBI 16S Microbial, SILVA SSU r138.1 (2.2M sequences), and The Microbe Directory.

Generate a workflow diagram employing the following tools: FastQC for quality control assessment, Cutadapt for adapter sequence removal, Bowtie for sequence alignment, miRDeep2 for quantification, and EdgeR for differential expression analysis.

Develop a scientific clinical workflow diagram depicting the management pathway for prostate cancer, from initial diagnosis to treatment selection. The diagram should adhere to a clean, academic style suitable for inclusion in a doctoral thesis. Structure the workflow vertically, employing clear arrows to delineate the progression between each stage. The workflow should encompass the following stages: (1) Initial evaluation via Prostate-Specific Antigen (PSA) testing and Digital Rectal Examination (DRE); (2) Multiparametric Magnetic Resonance Imaging (mpMRI) with Prostate Imaging Reporting and Data System (PI-RADS) classification; (3) Prostate biopsy (systematic and MRI-Transrectal Ultrasound (TRUS) fusion); (4) Histopathological grading based on Gleason score, converted to the International Society of Urological Pathology (ISUP) Grade Group; (5) Tumor, Node, Metastasis (TNM) staging (T, N, M, with or without Prostate-Specific Membrane Antigen (PSMA) Positron Emission Tomography (PET)); (6) Risk stratification according to D’Amico, European Association of Urology (EAU), and National Comprehensive Cancer Network (NCCN) guidelines; and (7) Risk-adapted treatment decision-making (Active Surveillance, Radical Prostatectomy, Radiotherapy with or without Androgen Deprivation Therapy (ADT), Multimodal therapy, and Systemic therapy for metastatic disease). Employ color-coding to differentiate between diagnostic, staging, and treatment phases. The design should be minimalist, featuring a white background and a professional medical illustration style.

Technical system architecture diagram: Automatic landing aircraft, engineering drawing style, white background, clear and neat, suitable for papers/reports. Top area labeled "Perception and Localization Module": - Left branch: "NeRF/3DGS prior map construction", icon: small aircraft and runway three-dimensional wireframe model - Center: "Multi-sensor fusion (Camera + IMU + GNSS)", icon: schematic diagram of sensor interconnection - Right branch: "Integrity monitoring and observation quality control", icon: shield and HPL/VPL indicator - Output arrow: pointing downwards, label "High-precision position and attitude" Bottom area labeled "Trajectory Planning and Control Module": - Left: "Perception-based reference trajectory generation", icon: camera detects runway markings - Center: "Neural network dynamics model (PINN)", icon: neural network diagram - Right: "MPC Controller", icon: closed-loop feedback arrow - Output arrow points to aircraft control execution, label "Control commands (elevator, throttle, rudder)" Central connecting arrow from top to bottom labeled "Real-time pose input" Color scheme: Perception module professional blue (#1E40AF), control module stable green (#059669), data flow arrow orange (#EA580C) All text in Chinese, modern sans-serif font, suitable for academic papers or conference slides Composition horizontal 16:9, recommended resolution 3840×2160

Illustrate a system architecture diagram for CertRAG, a retrieval-augmented generation system incorporating reusable semantic verification. The diagram should depict the following components and data flow: 1. A query is input into the system. 2. A retriever module selects pertinent evidence documents. 3. A generator module produces an answer based on the query and the retrieved evidence. 4. An evaluator module, functioning as a semantic verifier, audits the generated answer against the provided evidence. This evaluator can be implemented as either an LLM-based judge or a lightweight NLI model. 5. The evaluator generates a Minimal Sufficient Certificate (MSC), which encompasses: claim-level semantic verdicts, evidence digests (hashes), a Merkle tree root and chain root, and a digital signature from the prover. 6. The MSC is stored or distributed as a reusable artifact. 7. A downstream client receives both the answer and the MSC. 8. The client verifies the MSC through hash recomputation and signature verification, without requiring any model execution. Visually distinguish the roles.

Illustrate a pseudo-3D Convolutional Neural Network (CNN) architecture diagram of YOLO11n-cls, depicting a left-to-right pipeline. The pipeline should be as follows: Input image → Conv64 s2 → Conv128 s2 → C3k2×2 256 → Conv256 s2 → C3k2×2 512 → Conv512 s2 → C3k2×2 512 → Conv1024 s2 → C3k2×2 1024 → C2PSA×2 → Classify → FC → Softmax output. Represent feature maps as stacked 3D cuboids with perspective depth. Use arrows to indicate data flow. The resolution decreases as P1/2, P2/4, P3/8, P4/16, P5/32, while the number of channels increases. Represent convolutional layers as thick cuboids, C3k2 as grouped blocks, and C2PSA as an attention block. Depict the classifier as neuron circles. Aim for a clean scientific visualization in a pseudo-3D AlexNet style, using thin arrows, precise alignment, and muted colors: blue for feature maps, orange for convolutional layers, gray for blocks, and green for outputs. Use a white background to ensure publication quality.

Develop a technical architecture diagram illustrating a hierarchical 'brain-cerebellum' decision system for multi-agent UAV swarm control. The diagram should feature: - A top layer labeled 'Brain (High-level Reasoning)' incorporating icons that represent Transformer/LLM processing of historical sequences and task instructions, ultimately outputting formation intent and parameters. - A bottom layer labeled 'Cerebellum (Low-level Control)' with icons depicting Actor-Critic networks generating continuous control actions. - Three parallel pathways connecting the brain to the cerebellum, labeled 'Formation Generation', 'Formation Transformation', and 'Formation Keeping'. - Each pathway should illustrate distinct reward functions (Formation Generation Reward R, Formation Maintenance Reward R, Formation Transformation Reward R) that drive different decision-making processes. - Employ a clean, modern technical diagram style, utilizing arrows to indicate information flow. - Incorporate small icons representing UAVs, neural networks, and reward signals. - Implement a color code: blue for the brain layer, green for the cerebellum layer, and orange/red/yellow to represent different phases.

Draw a horizontal three-layer deep learning technical framework diagram, titled "Multimodal Fusion Recognition Model for Body Dysmorphic Disorder (BDD)." The overall structure adopts a three-layer "Encoder-Fusion-Classifier" architecture, with a concise, academic, and restrained color scheme. On the left is the "Multimodal Data Input," containing four types of inputs: eye-tracking time-series data, facial expression AU sequences, EEG brainwave signals, and psychological scale scores. Each type of data enters the encoder layer through independent data stream arrows. The first layer is "Single-Modal Feature Representation (Encoder Layer)," with four sub-modules arranged in parallel within a unified background frame: ① Eye-tracking Encoder (Bi-LSTM + Multi-Head Self-Attention), outputting z_eye∈R^256, representing dynamic features of attentional bias; ② Facial Expression Encoder (3D-CNN + Temporal Attention), outputting z_au∈R^256, representing emotional processing patterns; ③ EEG Encoder (TCN + Channel Attention), outputting z_eeg∈R^256, representing brain functional time-series features; ④ Scale Encoder (MLP mapping), outputting z_q and linearly projecting it to R^256. The outputs of the four modalities converge into the fusion layer. The second layer is "Cross-Modal Interaction Fusion (Fusion Layer)," with the core module being a Cross-Modal Transformer. Internally, it includes Modality Embedding, Cross-Modal Multi-Head Attention (Q_i queries other modalities' K/V for information), a feedforward network, and residual connections. It outputs a unified fusion feature z_fusion∈R^256. The side annotation states "Adaptively learn modality contribution weights to achieve information complementarity." The third layer is "BDD Risk Discrimination (Classifier Layer)," with the structure z_fusion → fully connected layer → Softmax, outputting the BDD risk probability P(BDD) and confidence interval. The bottom of the diagram annotates the joint optimization objective function: L_total=λ1L_ce+λ2L_contrast+λ3L_focal, corresponding to classification discrimination, inter-class discrimination enhancement, and class imbalance optimization, respectively. The overall logic reflects the scientific path of "Single-Modal Mechanism Representation - Cross-Modal Interaction Modeling - Risk Decision Output."

Create a 3/4 partial visualization of this mechanism: Bacterial superantigens bind to TCR and MHC II with low affinity, but nevertheless very effectively activate T cells, as they cause the aggregation of MHC II and TCR, mimicking the action of classical antigens. This triggers signaling pathways via the TCR–CD3 complex, activation of kinases (Lck, ZAP-70), the formation of secondary messengers (IP₃, DAG), and MAPK, NF-κB, and PI3K/mTOR cascades. With additional costimulation, there is strong proliferation and survival of T cells and massive production of pro-inflammatory cytokines, leading to a pronounced inflammatory response.

A neuron illustrating intracellular and extracellular signaling pathways, specifically highlighting the roles of GR, CHRNA7, and EFNB3, and depicting sex-specific differences.

3 Jasmonic Acid Signaling Pathway and Its Regulatory Functions in Plants 3.1 Biosynthetic Pathway of Jasmonic Acid (α-Linolenic Acid Metabolic Pathway): JA uses α-linolenic acid in cell membrane lipids as a precursor, which is catalyzed by LOX, AOS, and AOC in chloroplasts to produce OPDA. OPDA is then reduced by OPR and β-oxidized in peroxisomes to produce JA. Finally, it is modified into JA-Ile (the main active form), MeJA, etc. in the cytoplasm to complete synthesis and activation. The initiation of synthesis is closely related to membrane lipid degradation. 3.2 Core JA Signal Transduction Pathway: COI1-JAZ-MYC2 Model: Active JA (JA-Ile) mediates the formation of a ternary complex between COI1 and JAZ. After JAZ protein is degraded by the ubiquitin-proteasome, the inhibition of MYC2 is relieved. MYC2 binds to the JRE element of the target gene and activates the expression of JA-responsive genes (related to synthesis, defense, and secondary metabolism), forming a cascade regulation of "recognition-degradation-activation". 3.3 Crosstalk between JA and Other Hormones: JA and ethylene, ABA mainly have synergistic effects, which respectively enhance stress defense, maintain ROS balance and membrane stability; JA and SA, GA mainly have antagonistic effects, balancing phenolic metabolism, growth and defense relationships, and forming a complex regulatory network through transcription factor interaction, signal pathway inhibition and other mechanisms. 3.4 Role of JA in Mechanical Damage, Oxidative Stress and Secondary Metabolism: JA is the core signal for damage response, which responds to mechanical damage by activating membrane repair and defense genes; it alleviates oxidative stress by activating the antioxidant system and inhibiting ROS production; by regulating key genes such as the phenylpropane pathway, it promotes the synthesis of secondary metabolites such as phenols and terpenes, enhances plant adaptability, and the regulation has temporal and tissue specificity.

I need to create a mechanism of action diagram illustrating how Tepezza treats thyroid eye disease (TED) through competitive inhibition, binding affinity, and specificity. The diagram should be divided into two main sections, connected by an arrow, showing the causal chain from "molecular mechanism" to "cellular effects." Section 1: Molecular Competition and Binding (Top Left) Core Logic: Show how Tepezza "grabs" the receptor due to its high affinity. 1. Draw the receptor (IGF-1R): ◦ Draw a Y-shaped structure spanning the cell membrane (representing the α subunit/ligand-binding region of IGF-1R). ◦ Label: IGF-1R 2. Draw the ligand (competitor): ◦ Draw several small circular/wavy molecules above the receptor, labeled as IGF-1 / IGF-2. ◦ Key point: Draw a dashed or semi-transparent bond to indicate they are "attempting to bind but are blocked." 3. Draw Tepezza: ◦ Draw a large, brightly colored Y-shaped antibody structure (representing Tepezza). ◦ Binding Affinity (High Affinity): Use a thick, strong chain or a strong magnet icon to connect Tepezza and IGF-1R, labeled: High Affinity Binding. ◦ Specificity: Add a small note next to it, draw a "sieve" icon, and label: Specifically binds to IGF-1R, does not bind to the insulin receptor. 4. Draw the result of competitive inhibition: ◦ Place a red "prohibited symbol" (🚫) over the IGF-1/IGF-2 molecules, or draw a roadblock, labeled: Competitive Blockade. ------ Section 2: Downstream Signal Blockade (Bottom Left) Core Logic: The receptor is occupied, and the signal cannot be transmitted. 1. Draw the signaling pathway: ◦ Draw an arrow downwards from the intracellular portion of IGF-1R. ◦ The signaling pathways that should be active (such as PI3K/Akt and MAPK/ERK) are now drawn in gray or crossed out, labeled: Signaling Pathway Shutdown. ◦ Draw a downward arrow next to it, labeled: Receptor Downregulation. ------ Section 3: Cellular Phenotype Changes (Right Side) Core Logic: The signal is interrupted, and the cells no longer misbehave. 1. Draw orbital fibroblasts: ◦ Draw a large oval with Orbital Fibroblasts written inside. 2. Draw the reduction of pathological products: ◦ The cells used to secrete many harmful substances, but now they cannot. ◦ Draw hyaluronic acid

Integrated molecular pathway diagram for a peer-reviewed review article, presented in a vector style for a neat and professional appearance. The diagram illustrates CRISPR-mediated improvement of sugarcane, sugar beet, and sweet sorghum under salinity, alkalinity, and heavy metal stresses. Key targets are highlighted, including WRKY transcription factors (BvWRKY10/16, ScWRKY5, SbWRKY50/22/65/72), NAC transcription factors, bHLH transcription factors, ScGluD2, ScMT2-1-3, BvHMA3, BvNRAMP, SbYS1, and NADP-ME. The diagram depicts ion homeostasis (Na⁺/K⁺ balance), reactive oxygen species (ROS) detoxification, heavy metal chelation and sequestration, osmolyte accumulation, and improved stress resilience. Clear labels, a consistent scientific color scheme, and high-resolution academic style are employed.

Please generate a signaling pathway diagram illustrating the following: Activation of the NLRP3 pathway within the cell membrane by allergens, leading to Caspase-1 activation, and subsequently, IL-18 production, thereby inducing an inflammatory response and M1 polarization of macrophages. Include necessary intermediate factors to complete the pathway. Additionally, show how the C-Maf transcription factor within the cell nucleus collaborates with GATA3 upon allergen stimulation to directly bind to the IL-4 gene promoter, initiating IL-4 transcription and expression, which induces T cell differentiation into Th2 cells. These Th2 cells produce IL-4, IL-5, and IL-13, all of which contribute to M2 polarization of macrophages. Again, include necessary intermediate factors to complete this pathway. Please highlight the factors I mentioned with a prominent color, while the supplementary factors can be shown in a lighter shade.

This figure illustrates a detailed chemical reaction mechanism for the coupling of a molecule to an agarose bead. Panel A depicts the chemical structure of an agarose bead, represented as 'R', functionalized with an epoxy ring. This epoxy-activated agarose reacts with 6-aminohexanoic acid (H2N-(CH2)5-COOH) via nucleophilic attack of the amine on the epoxy carbon. Panel B shows the resulting product structure: Agarose-O-CH2-CH(OH)-(CH2)2-NH-(CH2)5-COOH. The newly formed ether bond and hydroxyl group are highlighted. The terminal carboxyl group is labeled. Panel C illustrates the activation step, where the carboxyl group reacts with EDC and NHS to form a stable NHS-ester intermediate. The structures of EDC and NHS are shown in proximity to the bead. Panel D depicts the final coupling step, where the NHS-ester reacts with a generic amino acid (H2N-CHR-COOH) to form a peptide bond. The figure adheres to a classic organic chemistry style, similar to that found in Clayden or March's Advanced Organic Chemistry, with clearly labeled atoms (C, H, N, O) and clean bonds. Dotted lines are used where appropriate.

Diagram Description: Left Side: Feedstock. Three biomass-derived aldehyde molecules are depicted as chemical structures, each labeled with its name, source, and carbon number: Furfural (C5, from hemicellulose), HMF (C6, from cellulose), and vanillin (C8, from lignin). Arrows originating from a simplified illustration of lignocellulosic biomass (wood chips or plant matter) point to each molecule, indicating their derivation from the same raw material but from different fractions. Center: Electrochemical Cell. A schematic representation of a membrane-separated electrochemical cell. On the cathode side (left half of the cell), two distinct aldehyde molecules are shown entering the solution. Above the cathode surface, a single-atom catalyst site is illustrated, consisting of a flat carbon sheet with a single metal atom embedded in a phthalocyanine structure. Two ketyl radicals are depicted forming at or near this catalytic site, with an arrow indicating their coupling reaction. On the anode side (right half), HMF is shown entering, and FDCA exiting, with a simplified nickel-based electrode depicted. A label between the two halves reads "[missing text]".

Overall Composition Logic: Adopting a narrative flow of "Molecular Design → Key Synthesis → Performance Verification," the layout proceeds horizontally from left to right, highlighting the complete story from rational design to functional realization. 1. Left Area: Molecular Design and Principles Core Element: Prominently display the chemical structural formula of the target molecule (i.e., the final designed two-photon photo-cleavable protecting group) in the center of the area. The structural formula should clearly indicate the following parts: * Carbazole Core: Represented by a specific cyclic structure. * Donor-Acceptor (D-π-A) System: Distinguished by prominent arrows or colors. * Donor (D): Highlight "N(C2H5)2" (diethylamino) in blue at the 7-position of the structural formula. * π-Bridge: Highlight the azaxanthone group in green in the extended part of carbazole. * Acceptor (A): Highlight "-NO2" (nitro group) in red at the 2-position of the structural formula. Background/Schematic: Below or behind the structural formula, present a simplified molecular orbital energy level diagram in a translucent background, showing the HOMO (Highest Occupied Molecular Orbital) and LUMO (Lowest Unoccupied Molecular Orbital), and use a curved arrow to represent "Intramolecular Charge Transfer (ICT)," with the arrow pointing from the donor end to the acceptor end. Text Label: Add artistic font: "Rational Design of D-π-A System." 2. Central Area: Synthesis Route and Key Steps Core Element: Display a simplified five-step synthesis roadmap, emphasizing the transformation from starting materials to key intermediates. * Starting Point: Place a simple structural box of "1-Bromo-2-Iodo-4-Nitrobenzene" on the far left. * Key Step Arrows: Connect the structural boxes of 3-4 key intermediates (e.g., compounds 2, 3, 6) with arrows containing reaction condition abbreviations (e.g., Fe/AcOH, Pd-cat). * Emphasis: Highlight the step forming the carbazole ring (compound 5 → 6) with a highlighted border or luminous effect, and label "Cyclization" next to it. * Endpoint: The roadmap ultimately points to the same target molecule structural formula as the design drawing on the left (can be slightly simplified). Visual Metaphor: Design this synthesis path as a passage leading to light, implying the construction of the target molecule. 3. Right Area: Functional Verification and Application Prospects Upper Part: Spectral Performance * Draw a simple UV-Vis absorption spectrum containing two curves: * Black Dashed Line: Indicates a peak at ~334 nm, with "Carbazole (Reference)" noted next to it. * Red Solid Line: Shows a significant red-shift to a broad absorption peak at ~450 nm, with a large arrow indicating "Red-Shift & Enhanced Absorption." Lower Part: Photo-triggered Release Application * Depict a simplified outline of a biological cell or tissue slice. * Shine a near-infrared laser (NIR Laser) from outside the diagram, focusing on a tiny point inside the cell. * At this focal point, display a magnified close-up: a carboxylic acid molecule (represented by "COOH") initially

Create a high-impact scientific graphical abstract for a theoretical chemistry research paper focused on relativistic density functional theory (DFT) calculations of electron paramagnetic resonance (EPR) parameters in laser-coolable heavy metal diatomic molecules. The composition should include: * Left side: Stylized diatomic molecules with glowing bonds, visually representing a laser-cooled molecule. * Center: A panel illustrating a "computational chemistry" setup, featuring the Dirac equation symbol, wavefunction orbitals, and a supercomputer/DFT workflow labeled "4-component relativistic DFT." * Right side: A representation of EPR spectroscopy, including magnetic field lines, spin vectors, and labeled tensors: the A-tensor (hyperfine coupling) and the g-tensor. * Overlay subtle spin-orbit coupling effects, depicted as a spiral or relativistic distortion around heavy atoms such as Hg or Ba. * Background: A gradient transitioning from deep blue (representing quantum physics) to violet (representing spectroscopy), with a faint grid or wave pattern.

Create a single, wide scientific schematic (18 cm × 10 cm) illustrating the logical progression of plasma-catalysis interactions, with mechanisms grouped sequentially by synergy type, suitable for a high-impact review (Chem Rev / ACS Catalysis style). The figure should progress from left to right, representing a physical and conceptual flow, starting with plasma activation, moving through plasma-surface coupling, then surface catalytic chemistry, and finally thermal and regeneration processes. Each stage should be visually grouped and labeled as a specific synergy regime. On the far left, depict the plasma discharge region showing energetic electrons (1–10 eV) interacting with molecules to produce excited states, radicals, and ions through electron-impact excitation, vibrational excitation, dissociation, and ionization. This region should be labeled 'Plasma Activation' and use blue/purple tones. Immediately to the right, illustrate plasma-catalyst synergy, where radicals and ions interact with a catalyst surface via mechanisms...

## Part 1: Top Title and Overall Paradigm Position: At the top of the technology roadmap, centered. Content: Main Title: Text: Research Roadmap of Photodetectors Font Size: 28 points, bold. Subtitle/Research Paradigm: Text: "Calculation-Preparation-Construction-Design" Four-in-One Research Paradigm Font Size: 20 points, bold, font color is dark gray. Overall Timeline: Text: Draw a horizontal arrow across the entire diagram below the title. Labels: Label "Stage 1", "Stage 2", "Stage 3", "Stage 4" equidistantly above the arrow, and label virtual times such as "M1-M6", "M7-M12", etc. Arrow Style: 2 points thick, black. ## Part 2: Stage 1 - Calculation Position: Below "Stage 1" of the overall timeline. Structure: Divided into four layers vertically. Layer 1: Stage Title Bar Text: Stage 1: Theoretical Calculation and Mechanism Elucidation Font Size: 22 points, white, bold. Background: Dark blue rectangle, width equal to the stage content. Layer 2: Core Methods Text: [Core Methods] DFT | First Principles | Molecular Dynamics Font Size: 16 points, bold. Style: Light blue rounded rectangle, centered text. Layer 3: Research Content (three boxes in parallel) Box 1: Title: A-site Ion Substitution Content: A₄PbCl₆ Calculation Font Size: Title 14 points bold, content 12 points. Box 2: Title: B-site Ion Doping Content: Sb³⁺ Doping Font Size: Same as above. Box 3: Title: Theoretical Prediction Content: Dielectric Function; Absorption Spectrum Font Size: Same as above. Style: White box, thin black border, left-aligned layout. Layer 4: Stage Goals and Key Technologies Illustration Left Half - Stage Goal Box: Text: [Stage Goal] Reveal the intrinsic physical mechanism and establish a theoretical model of the "structure-property" relationship. Font Size: 15 points, white, bold. Style: Green rounded rectangle. Right Half - Key Technology/Theoretical Diagram Schematic Box: Title: Figure 1: Band Structure of A₄PbCl₆ System Content: [Place a virtual band diagram here, labeling band gap values Eg1, Eg2...]. Font Size: Figure title 12 points, virtual text in the figure 10 points. Style: Gray background box, slightly thicker border. ## Part 3: Stage 2 - Preparation Position: Immediately to the right of Stage 1, connected by the overall timeline arrow. Structure: Same as Stage 1, four layers vertically. Layer 1: Stage Title Bar Text: Stage 2: Controllable Synthesis Style: Same as before. Layer 2: Core Methods Text: [Core Methods] Modified Hot Injection Method | Re-precipitation Method | Ion Doping Style: Same as before. Layer 3: Research Content (3 boxes in parallel) Box 1: Quantum Dot Synthesis Box 2: Sb³⁺/Bi³⁺ Doped Modified Material Preparation Box 3: Structure and Spectroscopic Characterization (XRD, TEM, PL, UV-Vis), Style and Font Size: Same as Stage 1. Layer 4: Stage Goals and Key Technologies Illustration Left Half - Stage Goal Box: Text: [Stage Goal] Prepare high-purity chlorine-based nanomaterials to achieve precise band gap control. Right Half - Key Technology Illustration Box: Title: Figure 2: Process Flow Chart Content: [Virtual flow chart with steps such as "centrifugal purification"]. Style: Same as before.

Please help me create a technical roadmap for a research project proposal, based on the suggestions for a project proposal technical roadmap provided by ChatGPT. Below is a version designed to be directly included in a National Natural Science Foundation of China application, presented as a “Technical Roadmap Structure Version.” This version follows the four-layer structure familiar to foundation reviewers: “Scientific Problem → Research Module → Key Technology → Expected Result,” with clear logic and distinct levels, making it convenient for students or design software to create a diagram later. I will first provide the text structure version (which can be directly converted into a diagram), along with suggestions for diagram layout. Technical Roadmap (Application Structure Version) Core Scientific Question How does the natural product Isoimperatorin regulate key physiological processes of parasites and exert antiparasitic effects through a multi-target synergistic mechanism? Overall Technical Route Antiparasitic Mechanism Research of Natural Products │ ▼ Multi-Target Interaction Analysis │ ▼ AI Prediction Model Construction │ ▼ Multi-Omics Network Mechanism Analysis │ ▼ Antiparasitic Candidate Drug Screening Module 1 Drug-Multi-Target Interaction Mechanism Analysis Research Objective To elucidate the binding mode and characteristics of Isoimperatorin with parasite target proteins. Key Research Content Target protein expression and purification Drug-target interaction detection Key residue identification Structural mechanism analysis Key Technologies Protein expression and purification SPR / BLI interaction detection Molecular docking and molecular dynamics Site-directed mutagenesis validation Research Results Construction of a “Drug-Target-Key Residue Interaction Map” Module 2 Deep Learning-Based Multi-Target Prediction Model Research Objective To establish an interpretable drug-target interaction prediction model. Key Research Content Construction of a drug-target training dataset Molecular structure feature encoding Protein sequence structure feature extraction Deep learning model training Key Technologies Graph Neural Networks (GNN) Transformer model Attention mechanism analysis Model performance evaluation Research Results Establishment of a natural product multi-target prediction model Module 3 Multi-Target Regulation Network Analysis Research Objective To elucidate the systemic regulatory mechanism of natural product multi-target action. Key Research Content Drug-treated parasite samples Transcriptome and proteome analysis Biological pathway enrichment analysis Network regulation analysis Key Technologies RNA-seq Proteomics GO / KEGG analysis PPI network construction Research Results Construction of a “Drug-Target-Pathway-Phenotype” regulatory network Module 4 Antiparasitic Candidate Drug Screening and Validation Research Objective To discover novel antiparasitic candidate drugs. Key Research Content Virtual screening Molecular docking Activity validation Mechanism of action

The following is the research plan and technical route from a National Natural Science Foundation of China (NSFC) youth project application. It provides a diagram of research plan and technical route 3, highlighting key elements and relationships between modules, with a white background academic style. The problem dimension undergoes a qualitative change in multi-hop relay scenarios for the prediction model of multi-hop communication delay violation probability based on heterogeneous joint martingales. Affected by laser pointing stability, energy status, and dynamic occlusion, the output of the previous hop exhibits strong burstiness. This fluctuation is reshaped and amplified step by step in the multi-hop link, leading to the failure of traditional hop-by-hop cumulative analysis. Furthermore, the heterogeneity of node physical configurations results in uneven service capabilities, and the end-to-end delay presents a complex cascade nonlinear evolution. This project proposes to construct a joint martingale model to establish a compact end-to-end analytical prediction framework. 1) Joint service martingale modeling method for heterogeneous nodes based on tensor product. Single-hop analysis only focuses on local backlog, while the core of the multi-hop system lies in the traffic shaping effect: the frequent on-off of the previous hop makes the data input of the next hop become a discontinuous burst flow, resulting in instantaneous buffer overflow. This cascading effect is amplified with the increase of hop count. Construction of effective service process: Introduce the "service redeemable factor" to model alignment capture time, energy constraints, and atmospheric deep fading as random variables. Through two-layer multiplicative coupling, construct the effective service process of each heterogeneous node. Tensor product state representation: In order to characterize the state correlation between heterogeneous nodes, introduce tensor product theory to construct a joint state transition matrix Pp. This method integrates the independent Markov evolution of each node into a high-dimensional state space, avoiding the difficulty of manually enumerating state combinations. Construction of joint martingale model: In the joint space, use the spectral radius theory to solve the effective bandwidth of the system. Establish a joint martingale model M(t) including the arrival and service process of each node. This model explicitly includes the hysteresis characteristics of recapture time and realizes the accurate source tracing of heterogeneous interference sources on multi-hop links. 2) Prediction model of end-to-end delay violation probability in multi-hop heterogeneous system. The end-to-end delay D_t is the nonlinear cascade result of the delay D_i of L nodes in the full path. In a heterogeneous environment, system performance is often limited by the "bucket effect". Global consistency constraint: According to the large deviation theory, although each hop node has an independent decay rate the, the exponential decay ability of the full path is limited by the "bottleneck node" with the worst performance. This project proposes a global consistency constraint criterion, and selects the minimum decay rate the* of the full path as the criterion for the overall performance of the system. Analytical model derivation: By analyzing the interaction between global data arrival and the heterogeneous service process of each node, and using the martingale stopping time theorem, the analytical prediction model of end-to-end delay violation probability P(D_{total} is finally derived. This model unifies the microscopic physical heterogeneity (such as insufficient power of a certain node), the mesoscopic link randomness (such as atmospheric turbulence) and the macroscopic network performance (end-to-end delay limit) in the analytical framework. Content logic summary: This section completes the leap from local analysis to system evolution. The tensor product solves the mathematical representation problem of heterogeneous node state combination, reveals the reshaping and amplification law of burst flow in the cascade link; the large deviation principle locks the global performance bottleneck and ensures the compactness of the multi-hop prediction boundary.

A research roadmap for vector semantic index representation methods oriented towards terminal energy efficiency constraints: Part 1: Parsable Energy Consumption Modeling of Index Representation (Mechanism Analysis Layer) Modeling Object: Using IVF-PQ-HNSW heterogeneous index as a carrier to analyze the retrieval process. Technical Means: Collect access and calculation overhead data, and decompose the atomic energy consumption of vector reconstruction, Euclidean distance calculation, Top-K sorting, and data transfer. Expected Output: Construct a parsable energy consumption model of index representation, and establish an algebraic mapping relationship between index hyperparameters, hardware status, and single retrieval energy consumption. Part 2: Energy-Efficient Bounded Index Compression Representation (Structure Optimization Layer) Topology Differential Compression: Design residual coding for graph structure indexes to reduce frequent access energy consumption caused by topology traversal. Progressive Bit-Plane Representation: Design a progressive coding scheme for feature vectors to support dynamic adjustment of feature bit depth during retrieval based on real-time energy efficiency constraints. Boundary Definition: Derive the Pareto optimal boundary of accuracy (Margin@K) under energy consumption constraints. Part 3: Energy Efficiency-Driven Parameter Adaptive Adjustment (Dynamic Guarantee Layer) Slow-Scale Evolution: On a slow time scale, construct a lightweight reinforcement learning strategy to characterize the online evolution law of parameters under long-term energy efficiency fluctuations. Fast-Time Shield: On a fast time scale, introduce a feedback control-based query truncation mechanism to ensure that the device does not experience thermal runaway under instantaneous high load. Convergence Analysis: Analyze the parameter adaptive adjustment process through Lyapunov stability theory to ensure that the system can quickly return to a steady state when energy efficiency fluctuates. Part 4: Real Machine Deployment and Application Performance Evaluation (Verification Layer) Experimental environment: Test Benchmark: Use public large-scale datasets such as SIFT1M and GIST1M. Hardware Platform: Deployed on real terminals such as NVIDIA Jetson and mainstream ARM mobile phones. Indicator System: Core Indicators: Retrieval accuracy (Margin@K/Consistency@K), retrieval latency (Latency). Energy Efficiency Indicators: Average power (Average Power), energy efficiency stability (Energy Stability).

Illustrate a simplified schematic of the HydraPatch system, comprising three primary components: 1. A disposable patch (adhered to the skin) containing: - A microfluidic inlet for sweat collection. - Microchannels facilitating sweat transport. - Integrated sensors for quantifying sodium and chloride concentrations, sweat rate, and skin temperature. - An electrolyte reservoir containing a saline hydrogel. - A peelable tab (blue) to maintain hydrogel integrity prior to use. - An adhesive layer for cutaneous attachment. 2. A reusable electronic module (magnetically coupled to the patch) incorporating: - A compact rechargeable battery. - A microchip for signal acquisition and processing. - A Bluetooth transceiver for data transmission to a smartphone. - A USB-C charging port and indicator LED. - Magnetic connectors for interfacing with the patch. 3. A smartphone application displaying: - Real-time data streams of sodium concentration, chloride concentration, sweat rate, temperature, cumulative salt loss, and electrolyte delivery volume. - A graphical user interface (GUI) with color-coded gauges.

The figure illustrates a schematic diagram of a fixed-bed pyrolysis process, which consists of three parts: gas supply, reaction apparatus, and product collection. The rapid co-pyrolysis of each sample is carried out in a horizontal fixed-bed reactor. Before the rapid pyrolysis, a quartz boat containing a certain mass of the experimental sample is placed at one end of the quartz tube (outside the furnace body), and the entire reaction system is purged with high-purity N2 (purity > 99.99%) for 5-10 min. The furnace body is then heated up. When the furnace body reaches the required experimental temperature, the quartz boat is pushed to the isothermal zone and reacted for 30 min under a carrier gas N2 flow rate of 50 mL/min. After the reaction, the quartz boat is pushed out of the furnace body and cooled to room temperature under N2 purging. Non-condensable gases are collected in gas bags and analyzed by gas chromatography. Liquid products are collected using an ice-salt bath method and dissolved in n-hexane as a solvent. A schematic diagram of the apparatus can be generated based on this text for direct use in a paper.

This diagram illustrates a schematic of a cyanide-free silver electroplating apparatus. The details are as follows: Apparatus Components: Container: A beaker containing the 'cyanide-free silver plating solution.' Electrode System: Cathode: A copper sheet (located in the middle, shown in orange). Anode: Silver plates (located on both sides). Power Supply: A constant current power supply, with positive and negative terminals labeled. Wiring: A red wire connects the positive (+) terminal of the power supply to the anode (silver plate). A black wire connects the negative (-) terminal of the power supply to the cathode (copper sheet). Operating Principle: This is a typical electroplating apparatus. Silver is plated onto the copper sheet surface through electrolysis. During the electrolytic process, silver from the anode dissolves into silver ions, which are then reduced and deposited on the surface of the cathode (copper sheet), forming a silver coating. This cyanide-free silver plating process is more environmentally friendly than traditional cyanide-based silver plating, as it avoids the use of highly toxic cyanides.

Modular continuous flow setup: Integrated SO₂F₂ generation and SuFEx reaction process diagram (apparatus + flow). Application: Suitable as Figure 1b / Figure 2. Typical flow reactor schematic. Drawing prompt (Chinese): Draw a modular continuous flow reaction apparatus flow diagram. The research object is the continuous flow generation of SO₂F₂ and the downstream SuFEx reaction coupling system. The diagram clearly divides two functional modules: 1) SO₂F₂ generation module: fixed bed reactor filled with KF, input is SO₂Cl₂; 2) SuFEx reaction module: the generated SO₂F₂ reacts with the liquid-phase nucleophilic reagent (Nu) under flow conditions to ensure sufficient contact; Use arrows to clearly indicate the gas-liquid mixing path, emphasizing the significant improvement in gas-liquid contact efficiency in the flow system. Label key operating variables (such as flow rate, reaction time) at key nodes, but do not stack too many values. Summarize the conclusions on the right or below the figure in the form of "Key advantages": Significantly shortened reaction time (minutes) Strong functional group tolerance Easy to scale up, suitable for gram-scale synthesis The overall layout adopts an engineering flow chart style, with simple lines and clear modules. The color scheme is mainly neutral colors (light gray, blue, white) to avoid excessive industrial feel. The font is uniformly Times New Roman, and the style meets the submission standards of Nature Synthesis / Angewandte Chemie.

Generate a schematic diagram of the experimental procedure for fabricating an aluminum-based superhydrophobic surface that meets SCI journal standards, strictly following the layout of the reference figure: 1. Overall style: Nature/Science sub-journal level, vector graphics, clearly label all instruments, reagents, materials, and key parameters, professional color scheme, no redundant elements, high-definition resolution above 300DPI, editable SVG format. 2. Step 1 (blue circle): Sample surface pretreatment - Materials: 50×50×1.5mm aluminum sheet, 120# sandpaper - Instruments: Ultrasonic cleaner, beaker, hot air gun - Reagents: Acetone, anhydrous ethanol, deionized water - Procedure: Aluminum sheet sanding → Ultrasonic cleaning in acetone, ethanol, and deionized water for 2min each → Drying with a hot air gun, clearly label all items and parameters. 3. Step 2 (orange circle): Chemical etching (two schemes shown in parallel) - Scheme 1: Immerse the treated aluminum sheet in a beaker containing 20mL of 1mol/L hydrochloric acid + 20mL of 0.08mol/L oxalic acid. Etching time: 4, 8, 12, 16, 20h - Scheme 2: Immerse the treated aluminum sheet in a beaker containing 20mL of 1mol/L hydrochloric acid + 20mL of 0.08mol/L oxalic acid + 20mL of glacial acetic acid. Etching time: 4, 8, 12, 16, 20h - Instruments: Beaker, timer, label the reagent ratio and etching time variables for the two schemes. 4. Step 3 (blue circle): Anodization - Materials: Etched optimal aluminum sheet (anode), lead sheet (cathode) - Instruments: DC power supply, electrolytic cell, electrode clamp, support - Reagent: 15wt% sulfuric acid electrolyte - Parameters: Electrode spacing 5cm, vertical suspension, oxidation time: 0.5, 1, 1.5h, label all parameters and instruments. 5. Step 4 (orange circle): Low surface energy modification - Instruments: Beaker, timer - Reagents: Stearic acid, palmitic acid, silane modifiers - Procedure: Aluminum sheets with different anodization times are treated with different modifiers for 1.5h, label the modifier type and treatment time. 6. Step 5 (blue circle): Structure characterization and performance testing - Instruments: Contact angle meter, scanning electron microscope (SEM), electrochemical workstation, self-cleaning performance testing device - Tests: Contact angle/rolling angle test, microstructure characterization, electrochemical impedance test, self-cleaning performance test, label all instruments and test items. 7. Layout requirements: Arrange the 5 steps from left to right, connect with curved arrows, use circular frames for each step, alternately filled with blue and orange, completely consistent with the reference figure. All instruments, reagents, and materials are clearly labeled with professional names, in accordance with the specifications for illustrations in academic papers.

Create a publication-ready scientific pathway figure in editable vector format (SVG/AI, all text editable) for the Journal of Neuroinflammation. The figure should be in landscape orientation, approximately 250mm wide, and adhere to a flat, minimal style, avoiding 3D elements and gradients. The title is: 'The copper-gut-brain axis: A triple inflammatory pathway driving neuroinflammation in Alzheimer's disease'. The layout should consist of four stages arranged from left to right. Stage 1 — Copper Dyshomeostasis: Represented by a bronze rounded rectangle. Include an upward arrow. Text: 'Age-related increase in serum free (non-ceruloplasmin) Cu²⁺'. Subtexts: 'Cu:Zn ratio increases with aging' and 'Redox-active copper content of ceruloplasmin increases twofold across lifespan.' Stage 2 — Selective Dysbiosis: Represented by a gray rounded rectangle. Subtitle: '(Novel contribution)' in italics. Illustrate a gut cross-section showing three blue circles (Faecalibacterium, Roseburia, Coprococcus) marked with red X marks (eliminated) and two red circles (Enterobacteriaceae, Proteobacteria) with upward arrows (expanding). Include two annotation boxes: (1) 'Lack oxidative defense...

Concise and reproducible general requirements (Chinese/English versions): Chinese (for designers or AI prompts): Please draw a vector illustration of a corn seedling (seedling stage, with two or three true leaves) with a transparent background (no background). Requirements include editable vector files (SVG/AI/EPS), with all strokes converted to paths, clearly named layers (stem, leaves, root system), and editable colors. Style: flat vector (or realistic botanical vector/line drawing optional), natural colors, clean lines, suitable for scientific figures and posters. Provide SVG and PNG (transparent background, 3000×3000 px) exports. Please indicate the hexadecimal codes for the color scheme and ensure that the font (if there is text) has been converted to outlines. English (for designers / AI prompts): Please create a vector illustration of a corn seedling (two to three true leaves) with a transparent background. Deliver editable vector files (SVG / AI / EPS), with strokes converted to paths and clearly named layers (stem, leaves, root). Style: flat vector (or botanical vector / line art if specified). Natural colors, clean lines, suitable for scientific figures and posters. Provide SVG and a PNG export (transparent background, 3000×3000 px). Include HEX color codes and ensure any text is outlined. Key elements (short list, to send to designers or include in AI prompts): Subject: Corn seedling (two–three true leaves) Background: Transparent (no background / transparent) Output format: SVG preferred; also provide AI, EPS, PNG (transparent) File requirements: Layered, editable, strokes converted to paths, embedded or listed color values (HEX) Style (choose one): Flat vector / clipart – suitable for charts, icons Botanical vector – realistic

Generate a publication-ready graphical abstract suitable for a high-impact biomedical engineering journal (e.g., Biomedical Signal Processing and Control, Expert Systems with Applications, IEEE Transactions on Biomedical Engineering, Computers in Biology and Medicine). The figure should be a conceptual graphical abstract, rather than a detailed pipeline diagram. It must be clean, visually impactful, and readable at journal print size (minimum 300 DPI). Canvas Specifications: - Dimensions: 22 inches wide × 15 inches tall. - Resolution: 300 DPI. - Background: Very light blue-grey (#F8FAFB), not pure white. - Output format: PNG + SVG vector (layers preserved where possible). - Margins: 0.15 inches on all sides. - Font family: Inter, Helvetica Neue, or Source Sans Pro (clean sans-serif throughout). - No watermarks, logos, or decorative borders. Color Palette (Strict Adherence Required): Use the exact hex codes below and their assigned roles: - Problem / danger: Salmon red (#F4A582)

Publication-style receptor signaling pathway figure with membrane activation, phosphorylation cascade, transcription factor entry, and gene expression response.

ACS-style chemistry TOC graphic showing catalytic coupling, substrate-to-product conversion, catalyst structure, and reaction energy inset.

Materials-science figure showing a perovskite solar-cell cross-section, crystal lattice inset, layer labels, and J-V performance panel.

Single-cell RNA-seq methods figure showing cohort enrollment, biopsy processing, droplet capture, sequencing, clustering, and validation.

Experimental apparatus schematic for microfluidic nanoparticle synthesis with syringe pumps, chip, detector, and collection vial.

Multimodal Transformer architecture figure with image encoder, text encoder, cross-attention fusion, losses, and output heads.

RAG system architecture diagram with document ingestion, embeddings, vector database, retrieval, reranking, LLM generation, and citations.

U-Net medical image segmentation architecture with encoder, decoder, skip connections, attention gates, and mask output.

Clinical knee arthroscopy procedure illustration with anatomy cross-section, instrument portals, meniscus repair, and pre/post inset.

Patient education infographic explaining type 2 diabetes, insulin resistance, glucose monitoring, lifestyle support, and medication care.

Textbook mitosis figure showing interphase, prophase, metaphase, anaphase, telophase, and cytokinesis in a clear teaching layout.

Biomedical graphical abstract showing engineered T cells, tumor recognition, checkpoint blockade, cytokine release, and tumor reduction.

Grant proposal research roadmap with three-year timeline, work packages, milestones, decision points, and deliverables.

Grant proposal technical route diagram with parallel aims, cohort setup, data acquisition, model building, validation, translation, milestones, and deliverables.

Three-year research project roadmap with work packages, quarterly milestones, risk checkpoints, go/no-go gates, publications, patents, and prototype validation.

Research proposal framework diagram connecting hypothesis, objectives, methods, data, analysis, validation, review checkpoints, and expected outputs.

Academic conference poster layout for a microbiome intervention study with methods, results, figures, and conclusion panels.

Cell biology illustration showing epithelial polarity, tight junctions, Golgi, endosomes, lysosome, and vesicle trafficking routes.

Organic chemistry reaction mechanism figure showing photoredox catalyst excitation, radical intermediate, addition, and catalyst regeneration.

Develop a minimalist, publication-ready workflow diagram in a horizontal systems schematic format suitable for a Springer/PLM conference paper. The diagram should adhere to the following specifications: Style: - Black-and-white or light grayscale vector graphics. - No decorative background, 3D rendering, photorealism, or cartoon elements. - Professional journal appearance with balanced spacing and thin-to-medium dark gray outlines. - White fill, rounded rectangles, sans-serif typography, and subtle visual hierarchy. Overall Layout: - Landscape orientation with a white background. - Heading: "Multimodal monitoring and digital-thread workflow" (small and simple). - Three logical regions: 1. Top row: In-process sensing inputs. 2. Middle row: Process flow and data transformation. 3. Bottom-right row: Post-print validation and final digital-thread record. Top Row Blocks (Left to Right): 1. "Axis acceleration (extruder and bed)" 2. "Top-view camera" 3. "Thermal logging"

Create a figure suitable for publication in a high-impact journal such as Nature, illustrating the workflow of an application designed to enhance the reliability of biomedical research findings. The application provides a standardized pipeline for assessing the reliability of tabular data analyses, incorporating inspection, performance evaluation, and explanation layers. The figure should highlight the contrast between this approach and traditional methods, where analysis and validation are often performed manually, inconsistently, or incompletely.

Create a polished, publication-quality workflow figure for a scientific poster (landscape orientation). Title: Sentence-Level NLP Pipeline for Detecting Unhealthy Opioid Use. Visual style: Academic, clean, and professional (AMIA / NIH poster style). Flat design with soft blue and gray tones. Rounded rectangles with consistent arrow thickness. Sans-serif font (Arial/Helvetica-like), large and readable at poster distance. White background, minimal decoration. No icons, no cartoons, no gradients. Overall layout: Top-to-bottom, left-to-right main workflow. One primary data flow with a secondary side-input flow. Arrows must clearly indicate direction of data movement. Main workflow (center-left to bottom): Input data (top-left box): Text: Poulsen et al. annotated corpus. Subtext: 32 opioid-related annotation labels. Downward arrow labeled: Semantic mapping. Box: Header: 4 Semantic Groups. Bullet points inside box: Group 0: Unrelated / Not relevant.

I need a workflow diagram. The content is as follows: I performed sequencing on a gastric cancer cohort, with 82 patients as a test set. Based on TRG grading, they were divided into two groups: 60 cases in the R group and 22 cases in the NR group. Differential analysis (fold change > 1.5 & < 0.67, p < 0.05) yielded 191 molecules. Spearman analysis identified 241 molecules significantly correlated with TRG. Additionally, molecules with a frequency greater than or equal to 20% in either NR or R were selected. The overlap of molecules obtained from these three strategies resulted in 73 molecules. Subsequently, a prediction model was constructed using logistic regression and 10-fold cross-validation. Another cohort was used as a validation set, and the AUC performance was good. Please draw a workflow diagram in the style of high-impact CNS journals, suitable for direct publication in a paper.

Create a high-impact journal-standard figure illustrating an integrated design-build-test-learn pipeline for next-generation plant breeding.

Workflow diagram illustrating dual carbon isotope analysis in environmental studies. The process encompasses sample collection, sample preparation, gas chromatography separation, δ13C measurement via isotope ratio mass spectrometry (IRMS), and Δ14C measurement utilizing accelerator mass spectrometry (AMS). Subsequent steps involve data interpretation and source apportionment modeling. The illustration presents a clean scientific workflow, rendered in vector style with Arial font against a white background.

Please generate a schematic diagram illustrating the workflow of spatial transcriptomics, with all steps contained within a single figure.

Methods: In accordance with PRISMA guidelines, a systematic literature search was conducted across major databases, identifying 93 records. Following screening of 57 full-text articles, 13 studies met the inclusion criteria. A random-effects model was employed for meta-analysis of pooled prevalence and mortality rates. Heterogeneity was evaluated using I² statistics and Cochran's Q test. Publication bias was assessed via Egger's test, and meta-regression was performed to explore sources of heterogeneity.

A cell signaling pathway diagram illustrating receptor activation at the cell membrane, signal transduction through the cytoplasm via phosphorylation cascades, and transcription factor activation within the nucleus. Key proteins, including RTK, RAS, RAF, MEK, and ERK, are labeled. The diagram features a clean, white background, suitable for journal publication.

A diagram illustrating the working principle of CRISPR-Cas9 gene editing technology. First, the CRISPR-Cas complex should depict the functional domains of the Cas protein and clearly indicate the PAM site. Second, the repair mechanisms should include non-homologous end joining (NHEJ) and homology-directed repair (HDR), resembling the Holliday junction model. Finally, the colors should be aesthetically pleasing and suitable for journal publication.

APPROVED. 8K scientific conceptual diagram of the 'AOS-gut axis' pathway, pixel-perfect reproduction of the provided reference layout, clean flat vector schematic style, publication-ready for Nature / Nature Medicine submission. Landscape 16:9, 300+ DPI vector-sharp crisp rendering, pure white background, flawless precision required. 'Physiological AOS Load' with light reddish/coral fill. 'Gut Dysbiosis' and 'Barrier Dysfunction' with light green fill. 'Altered Metabolites' and 'Metabolic Endotoxemia' with light blue-purple fill. Tier 5 endpoint boxes with light blue fill. 'Metabolic Comorbidities' with warm beige fill. Typography: sans-serif Helvetica, clear 10pt and 8pt sizes. Detailed tier hierarchy with solid and dashed arrows, flawless geometric alignment and box precision. Legend in the bottom-right corner. Figure caption: 'Figure 1. Conceptual model of the AOS-gut axis', by artist 'Scientific Illustrator'. Top-down view for optimal clarity.

Generate a scientific diagram illustrating the pathophysiological link between aging and metabolic syndrome. Structure: Horizontal flowchart progressing from left to right. Include the following stepwise mechanisms: Aging → Mitochondrial dysfunction → Increased reactive oxygen species (ROS) → Cellular damage and impaired homeostasis → Changes in body composition (decreased skeletal muscle and increased visceral fat) → Impaired insulin signaling → Decreased glucose uptake and increased hepatic glucose production → Insulin resistance → Chronic low-grade inflammation (increased IL-6, TNF-α, CRP) → Metabolic syndrome (increased risk of diabetes and cardiovascular disease) Each step should be connected by directional arrows to clearly indicate causality. Style: Biomedical illustration at the level of an SCI journal, vector-based, white background, minimal colors (navy, light purple, light yellow accents), BioRender style, with all major molecules and pathways clearly labeled.

Please generate a mechanism diagram suitable for scientific publication. YIF1A is localized to the cis-Golgi and participates in COPI vesicle transport from the Golgi to the endoplasmic reticulum. We found that RNF126 localization to the Golgi is mediated by YIF1A. YIF1A promotes K48-linked ubiquitination of Golgi-localized G3BP1 and G3BP2 proteins via RNF126, leading to G3BP1/2 protein degradation. This, in turn, activates the mTORC1 signaling pathway through the Golgi-localized Rheb protein. In the growth factor-mediated YIF1A-mTORC1 signaling pathway, YIF1A protein levels are significantly increased after growth factor stimulation. YIF1A promotes cellular senescence by activating the mTORC1 signaling pathway.

Scientific illustration in BioRender style, flat vector design, white background. A cross-section of a hepatocyte illustrating a signaling pathway is shown. At the top, a TGF-beta ligand binds to a transmembrane TGF-beta receptor. In the middle, the P38 signaling protein is activated. The pathway bifurcates into two branches. The left branch shows P38 interacting with Keratin 8 (K8) filaments, causing them to aggregate into irregular protein aggregates, representing Mallory-Denk Bodies (MDB). The right branch shows P38 activating p21, leading to cell cycle arrest and cellular senescence. The illustration features clean lines, pastel colors (blue, pink, grey), and is of academic publication quality, presented as a schematic diagram without text labels.

I need a schematic diagram for a research project proposal. The theme is the electrochemical carbon-nitrogen coupling of different nitrogen species with carbon dioxide to synthesize urea. I want to illustrate that nitrogen exists in different oxidation states, ranging from -3 (ammonia nitrogen) to +5 (nitrate nitrogen) (include other nitrogen species with different oxidation states). Currently, nitrate, nitrite, nitrogen gas, nitric oxide, and hydroxylamine have been reported to synthesize urea with carbon dioxide. Urea itself cannot be directly used to synthesize urea with carbon dioxide. It is important to emphasize which nitrogen sources can and cannot be used. The schematic diagram does not need to show physical objects, but should reflect different oxidation states of nitrogen. Please refer to the graphic abstract or mechanism diagram styles of high-level journals (such as Science, Nature, Cell, etc.).

Generate a schematic diagram of a mammalian cell, clearly illustrating the mitochondria, nucleus, endoplasmic reticulum (ER), and Golgi apparatus. Employ consistent line weights and legible English labels throughout the figure. Refrain from using textures or decorative elements. The organelles should be presented in a textbook-style layout appropriate for scientific publications.

Schematic scientific illustration of the differentiation process of mesenchymal stem cells into mature skeletal muscle cells. Several panels from left to right: stem cell → myoblast → fusion to myotubes → mature muscle fiber. Clear cell shapes, subtle color palette (red and pink tones), fine lines, labeled markers (e.g., Pax7, MyoD, Myogenin). No 3D effects, flat vector graphics, clean didactic style as in Nature Reviews.

A scientific illustration depicting the Newcastle disease virus-like particle (NDV VLP) vaccine platform. The left panel illustrates the cell membrane budding process, highlighting the M protein (blue lattice), NP protein (green core), F protein (orange spikes), HN protein (purple spikes), and a chimeric foreign glycoprotein (yellow spikes labeled 'Foreign Ag'). The central panel shows three sucrose gradient tubes, representing purification steps with banded VLPs. The right panel displays the final purified VLP particle, emphasizing the incorporated foreign antigen spikes. Flow arrows connect the sections, labeled as 'Expression & Assembly' → 'Budding & Release' → 'Sucrose Gradient Purification' → 'VLP with Foreign Glycoprotein'. The illustration features a clean, professional, and colorful design with a white background, large clear labels, and high-impact vector art suitable for a journal cover or abstract figure.

A schematic diagram illustrating the process of cell division, including the key steps of DNA replication and chromosome segregation.

Draw a diagram illustrating the differentiation, development, and maturation process of T cells in the bone marrow and thymus, noting the double-negative (DN) stage, the double-positive (DP) stage, and the single-positive (SP) stage; positive selection and negative selection. Indicate the composition and expression of the TCR receptor at different stages of T cell development.

Generate a BioRender-style schematic with a white background illustrating breast reconstruction techniques, specifically implant-based and autologous methods. Subtypes should include immediate, delayed, and staged implant reconstruction, as well as pedicled versus free flaps for autologous reconstruction. Employ labeled anatomical icons, arrows, and a minimal color palette to emphasize the advantages, limitations, and clinical decision-making factors associated with each technique.

A scientific poster diagram summarizing the application of metagenomic next-generation sequencing for infectious disease diagnostics.

Based on the following description: 'Modification of the support with multi-hydroxy bipyridine derivatives increases the hydroxyl density on the alumina surface, providing more loading sites. Simultaneously, the spatial structure effect of the macromolecular compound is utilized to orderly complex Pd and Ag metal ions on the support surface, achieving 'targeted positioning' of the active components, and preparing highly dispersed Pd-Ag alloy catalysts.' Draw a schematic diagram suitable for publication in a high-level scientific research paper that conforms to scientific logic. Requirements: Strictly comply with scientific descriptions, high-definition schematic diagram, 2k image quality.

Draw a set of figures divided into a and b. Figure a is a schematic diagram of the oxygen octahedra arrangement in the [110] direction of the SrNaNbO-based tungsten bronze material. Figure b is a schematic diagram of the oxygen octahedra after distortion. Before distortion, the oxygen octahedra are arranged horizontally and vertically, as shown in Figure a. After distortion, the oxygen octahedra are arranged in a vertically folded manner. After bending, the height of the original two oxygen octahedra in the vertical direction becomes the height of four oxygen octahedra, and they are arranged in opposite directions horizontally, for example, the first bends to the left, and the second bends to the right. Use Times New Roman font in the figures, as standard for scientific publications.

Illustrate a supramolecular gelation system. Show the chemical structures of hippuric acid-appended aminothiazole derivatives (1a–4a), highlighting ligand 2a. Depict Ce³⁺ ions interacting with ligand 2a to form a three-dimensional gel network. Include a schematic vial comparison: a left vial containing a clear solution (without Ce³⁺) and a right vial demonstrating gel formation (with Ce³⁺ present, inverted vial test). Use a clean scientific style, minimalistic icons, and a journal-ready layout with labels 'Ce³⁺ detection' and 'Selective gelation by ligand 2a'.

A step-by-step illustration suitable for a review article detailing the photochemical synthesis of ZnO and TiO2 nanoparticles is requested. The diagram should encompass the primary stages and materials utilized in the synthesis. These stages include: 1. Preparation of precursor solutions (zinc acetate, titanium isopropoxide); 2. Introduction of photoreductive agents (e.g., sodium hydroxide or hydrogen peroxide); 3. UV light irradiation to induce nanoparticle formation; 4. Separation and purification of the synthesized nanoparticles (via centrifugation and washing); 5. Drying and calcination to obtain the final nanoparticle product. The illustration should adopt a simplified, scientific aesthetic, employing clear labels, directional arrows to delineate process flow, and concise text to ensure clarity. A light background and neutral color palette are preferred to align with scholarly publication standards.

A table of contents graphic for organic synthesis, illustrating a retrosynthetic analysis. The target molecule is centrally located with disconnection arrows indicating key building blocks, each labeled with commercial pricing. Reaction conditions are specified as 'Pd catalyst, 80°C, 12h', with a highlighted yield of '92%'. The graphic features a clean white background and adheres to chemistry journal style.

A diagram showing the energy profile of a reaction that, starting from a reactant R, leads to an isoenergetic transition state TS(Si), TS(Re), which produces a racemic mixture of 2 enantiomers P(S) + P(R).

A schematic diagram illustrating the shape memory cycle of a shape memory polymer (permanent shape, deformation upon heating, fixation of temporary shape upon cooling, and recovery upon reheating).

Create a schematic diagram for a review paper focusing on LATP dopant strategies used to modulate defect chemistry and grain boundary behavior. The schematic should have a white background, AI-free, and clear text.

APPROVED. This request describes the desired architecture diagram for a human pose estimation model, specifying the arrangement of modules (Backbone, Neck, Head) from left to right, the use of concise English labels, and a clean, academic style. The request emphasizes clarity, readability, and highlighting specific modules (SBA and TripletAttention).

Technical architecture diagram: A two-stream lightweight RGB-TIR cross-modal feature extraction backbone. Left branch: RGB image (3ch) → RepViT-M1.0 (Stem+4 stages, multi-scale 48/96/192/384ch) → FPN (5 layers, 256ch). Right branch: TIR image (1ch) → identical RepViT-M1.0 → identical FPN. The two streams converge at the cross-modal coordinate attention module. Symmetric structure, flowchart style, with labeled boxes and arrows, academic style.

A diagram illustrating a Transformer architecture, comprising four main components: an Embedding layer, an Attention layer, a Feed-Forward Neural Network layer, and an Output layer. The Feed-Forward Neural Network layer is accompanied by LoRA, indicating that the model is configured with a LoRA module.

Generate a schematic diagram of a neural network architecture combining Mamba and KAN structures for motor imagery EEG recognition (four classes).

A clear, colorful, and well-organized block diagram illustrating a deep learning model architecture is requested. The diagram should feature interconnected rectangular blocks representing various layers and modules, including 'Input Image', 'Conv Layer', 'Pooling', 'ResNet Block', 'Compressor', 'Decompressor', 'FC Layers', and 'Result'. The diagram must specifically include and clearly label 'USAM' modules in place of the previously indicated 'Attention Module', ensuring their seamless integration into the existing block diagram visual style. A magnified inset detailing the 'ResNet Block' should also be included. The overall aesthetic should be clean and technical, employing a consistent color scheme to enhance readability.

A CVPR-style architecture diagram illustrating the multimodal forensic detection framework 'Logi-Forensics' is proposed. The figure is a clean, academic vector diagram with a white background, employing soft color blocks and clear directional arrows. The layout follows a left-to-right pipeline. The input layer (far left) consists of three sources, represented by simple icons: Seller Reference Image (I_ref), User Review Image (I_rev), and Review Text (T). Arrows from these inputs feed into distinct expert modules. Layer 1, the heterogeneous expert layer, comprises four independent modules displayed in parallel as separate boxes: 1. Image–Text Alignment Expert (E_IT), which takes Review Image (I_rev) and Review Text (T) as inputs to detect attribute hallucination between textual descriptions and visual evidence, outputting an Image–Text Consistency Rationale (R_IT). 2. Contextual Logic Expert (E_VL), which takes Seller Reference Image (I_ref) as input.

Brief description: Multi-model prediction architecture diagram. Reconstructed time-series tensor data is input from the left and sent in parallel to three branches (DNN processes spatial features, LSTM extracts local temporal features, and Transformer extracts global dependencies). The outputs of the three branches are aggregated into a node labeled "Attention-based Fusion (Softmax+Tanh)", which calculates dynamic weights and performs weighted concatenation. Finally, a fully connected layer outputs the multi-task prediction results, including energy consumption and temperature. The style is simple and plain.

Master's Thesis Technical Roadmap (16:9 Landscape). Research Topic: [Your Research Topic] Three-Year/Two-Year Research Plan: - Phase 1: [Specific Tasks] - Phase 2: [Specific Tasks] - Phase 3: [Specific Tasks] Timeline progresses from left to right, with each phase represented by a different colored module. Arrows connect each phase, indicating key milestones and expected outcomes. Blue-green color scheme, academic and professional style.

Generate a technical roadmap. This study follows a logical approach of "theoretical construction → experimental design → data collection → intervention implementation → data processing → conclusion interpretation" to systematically investigate the effects of rapid stretch-shortening cycle training on lower limb explosive power and neuromuscular control in elite adolescent basketball players.

Figure for grant proposal investigating how early-life malnutrition induces skeletal muscle dysfunction. The study focuses on mTORC1 maladaptation and autophagy-lysosome defects, leading to the accumulation of dysfunctional organelles such as mitochondria, peroxisomes, and endoplasmic reticulum.

Please create a research roadmap for "Inspection Task-Driven UAV Route Planning". The first stage involves foundational analysis and model construction, encompassing geographical environment modeling, inspection task definition, and UAV dynamics modeling. The second stage focuses on task coordination algorithms and dynamic route planning algorithm design, including heterogeneous cluster coordination model construction, scene-aware path planning algorithm integration, and task-driven dynamic route fine-tuning. The third stage involves simulation verification and performance evaluation, including real data acquisition, simulation environment setup, and key indicator design.

Create a Gantt chart with the following timeline: Weeks 1-2: Price scenario construction (WP1). Weeks 2-3: Testing and benchmarking of the rolling purchasing plan (WP2). Weeks 2-5: Options portfolio scenario performance analysis. Weeks 4-5: Optimization of the rolling purchase plan (WP2). Weeks 6-7: Revisiting options analysis based on Ardagh feedback. Weeks 7-8: Write-up. Weeks 1-8: Engaging with trading desks to gather data on their behavior (WP3).

Generate a timeline diagram illustrating the development of antibiotics from 1920 to 2020.

Please provide a research poster template for a study titled: "In vitro antibacterial activity of a pre-formulated ointment derived from *Codium intricatum* (Pokpoklo)."

Please generate a schematic diagram illustrating the pencil hardness test method for determining coating hardness. The drawing style should be simple. It is not necessary to depict the fixing device; the setup can be shown suspended. Only illustrate the testing phase, not the preparation phase. The angle should be 45 degrees. Do not include any text. This is for a figure in a scientific publication.

A minimal schematic diagram illustrating the electro-sorption removal of Malachite Green (MG) dye using graphene oxide-coated sodium alginate beads. The figure comprises three horizontal stages: (1) contaminated water containing dispersed MG molecules, (2) GO-coated alginate beads subjected to an applied electric field, with arrows indicating ion migration and adsorption onto the bead surfaces, and (3) treated water with a reduced dye concentration. A positive and negative electrode connected to a power source are included. The diagram employs a clean vector style, a limited color palette (dark teal green for MG, grey/black for GO, and light beige for the beads), a white background, minimal labels, and an uncluttered layout suitable for journal publication.

Schematic diagram of a liquid metal slow-wave structure: Illustrates the propagation of microwaves or electromagnetic waves in a slow-wave structure composed of liquid metal. The liquid metal forms adjustable helices or protrusions. Labels indicate the direction of wave propagation and the reduction in phase velocity. Engineering technical style, clear and easy to understand.

A schematic diagram of an optical path for a physics competition, featuring clean black and white lines against a white background, in an academically clean style. From left to right, the components are: a laser, a polarizer, a lithium niobate crystal, an analyzer, and a photodetector. Electrodes are positioned above and below the crystal, labeled "Applied weak electric field." Arrows are clear, and component labels are standardized, making it suitable for lab reports and presentations.

A schematic diagram, rendered in the style of BioRender, depicts an organ bath setup for measuring the intestinal contractility of murine tissue. The tissue sample is mounted vertically within the apparatus. The illustration is simple, clean, and lacks part annotations.

A schematic diagram illustrates a PCB development board for EEG acquisition, employing a two-layer stacked structure. The upper layer consists of a 16-channel acquisition daughterboard composed of two ADS1299 chips and includes an isolator. The lower layer is a Zynq-7020 FPGA core board. Brass standoffs are used for fixation, and precision electronic components are utilized.

I want to create a diagram for a paper describing an experimental method. Thin films are deposited by pulsed laser deposition, in which a KrF excimer laser is irradiated onto a NbN target in an ultra-high vacuum chamber. Simultaneously, a plasma source with H2 gas is introduced to irradiate the substrate, creating a thin film with a composition of NbNHx. Al2O3 is used as the substrate, and it is heated to a high temperature during growth using lamp heating.