Peiyi Wang
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View article: Mechanochemical synthesis of bent metallacycles and confinement catalysis in the solid-state
Mechanochemical synthesis of bent metallacycles and confinement catalysis in the solid-state Open
Synthetic cages or capsules serve as versatile container molecules capable of facilitating host–guest chemistry and confinement-driven catalysis, akin to natural enzymes.
View article: <scp>AtHSP90</scp>.5 and <scp>AtFtsH12</scp> synergistically regulate the accumulation of photosynthesis protein complexes and chloroplast development in Arabidopsis
<span>AtHSP90</span>.5 and <span>AtFtsH12</span> synergistically regulate the accumulation of photosynthesis protein complexes and chloroplast development in Arabidopsis Open
SUMMARY The 90‐kDa heat shock protein (HSP90) is a central component of the chaperone system for protein homeostasis (proteostasis). In Arabidopsis, AtHSP90.5 is the sole chloroplast‐localized HSP90 family member, yet its role in chloropla…
View article: BioXP-0.5B: Explainable Medical-AI via RL-GRPO
BioXP-0.5B: Explainable Medical-AI via RL-GRPO Open
BioXP-0.5B is a 🤗 Medical-AI model trained using our two-stage fine-tuning approach: Supervised Fine-Tuning (SFT): The model was initially fine-tuned on labeled data(MedMCQA) to achieve strong baseline accuracy on multiple-choice medical Q…
View article: Assembling Hexahedral Supramolecular Nano‐Aggregates on Rice Wax Layer Matrices to Promote the Leaf Deposition and Bioavailability of Bactericides for Plant Protections
Assembling Hexahedral Supramolecular Nano‐Aggregates on Rice Wax Layer Matrices to Promote the Leaf Deposition and Bioavailability of Bactericides for Plant Protections Open
Naturally hydrophobic wax layer microstructures in plants seriously hinder the leaf adhesion and deposition of pesticide droplets, thereby causing low pesticide bioavailability and inevitable environmental pollution. Inspired by the supram…
View article: Chain-of-Thought Tokens are Computer Program Variables
Chain-of-Thought Tokens are Computer Program Variables Open
Chain-of-thoughts (CoT) requires large language models (LLMs) to generate intermediate steps before reaching the final answer, and has been proven effective to help LLMs solve complex reasoning tasks. However, the inner mechanism of CoT st…
View article: Baicalin, Amoxicillin, and Probenecid Provide Protection in Mice Against Glaesserella parasuis Challenge
Baicalin, Amoxicillin, and Probenecid Provide Protection in Mice Against Glaesserella parasuis Challenge Open
Glaesserella parasuis (G. parasuis) causes Glässer’s disease and systemic inflammatory responses in the host. The currently available therapies have limited efficacy and fail to achieve a balance between anti-inflammatory and antibacterial…
View article: <i>β</i>‐Cyclodextrin/Amantadine Co‐Assembled Hollow Nanocapsules Realize the Rapid Leaf Adhesion and Bacterial Biofilm Disassembly for Rice and Citrus Protections
<i>β</i>‐Cyclodextrin/Amantadine Co‐Assembled Hollow Nanocapsules Realize the Rapid Leaf Adhesion and Bacterial Biofilm Disassembly for Rice and Citrus Protections Open
A superior bactericide to accomplish its efficient bactericidal function requires breaking through stubborn biofilm barriers and achieving efficient leaf adsorption. To overcome this challenge, supramolecular self‐assembly strategies are e…
View article: From <i>De Novo</i> Conceived Small Molecules to Multifunctional Supramolecular Nanoparticles: Dual Biofilm and T3SS Intervention, Enhanced Foliar Affinity, and Effective Rice Disease Control
From <i>De Novo</i> Conceived Small Molecules to Multifunctional Supramolecular Nanoparticles: Dual Biofilm and T3SS Intervention, Enhanced Foliar Affinity, and Effective Rice Disease Control Open
Conventional antimicrobials typically exhibit suboptimal deposition on rice leaves, resulting in poor efficacy, further impaired by biofilms and Type III Secretion Systems (T3SS). Herein, this study presents a supramolecular strategy to fa…
View article: Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming Open
Large Language Models (LLMs) have gained increasing attention for their remarkable capacity, alongside concerns about safety arising from their potential to produce harmful content. Red teaming aims to find prompts that could elicit harmfu…
View article: The rational design of a Rhodamine fluorescent probe enables the selective detection and bioimaging of salicylic acid in plants under abiotic stress
The rational design of a Rhodamine fluorescent probe enables the selective detection and bioimaging of salicylic acid in plants under abiotic stress Open
Summary Abiotic stress severely hinders plant growth and development, resulting in a considerable reduction in crop yields. Salicylic acid (SA) serves as a central signal mediating abiotic stress responses in plants. Real‐time fluorescence…
View article: Fabrication of Multifunctional Three‐Component Supramolecular Nano‐Biscuits via Two Macrocycles‐Involved Self‐Assembly for Rice, Citrus and Kiwifruit Protections
Fabrication of Multifunctional Three‐Component Supramolecular Nano‐Biscuits via Two Macrocycles‐Involved Self‐Assembly for Rice, Citrus and Kiwifruit Protections Open
Bacterial plant diseases, worsened by biofilm‐mediated resistance, are increasingly threatening global food security. Numerous attempts have been made to develop agrochemicals that inhibit biofilms, however, their ineffective foliar deposi…
View article: CRISPR-Hybrid: A CRISPR-Mediated Intracellular Directed Evolution Platform for RNA Aptamers
CRISPR-Hybrid: A CRISPR-Mediated Intracellular Directed Evolution Platform for RNA Aptamers Open
Recent advances in gene editing and precise regulation of gene expression based on CRISPR technologies have provided powerful tools for the understanding and manipulation of gene functions. Fusing RNA aptamers to the sgRNA of CRISPR can re…
View article: VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment Open
As large vision-language models (LVLMs) evolve rapidly, the demand for high-quality and diverse data to align these models becomes increasingly crucial. However, the creation of such data with human supervision proves costly and time-inten…
View article: β-Cyclodextrin-optimized supramolecular nanovesicles enhance the droplet/foliage interface interactions and inhibition of succinate dehydrogenase (SDH) for efficient treatment of fungal diseases
β-Cyclodextrin-optimized supramolecular nanovesicles enhance the droplet/foliage interface interactions and inhibition of succinate dehydrogenase (SDH) for efficient treatment of fungal diseases Open
This innovative approach addresses key challenges related to fungicide deposition and resistance, improving the bioavailability of agricultural chemicals. The findings highlight AoH25@β-CD as a novel supramolecular SDH inhibitor, demonstra…
View article: iP3T: an interpretable multimodal time-series model for enhanced gait phase prediction in wearable exoskeletons
iP3T: an interpretable multimodal time-series model for enhanced gait phase prediction in wearable exoskeletons Open
Introduction Wearable exoskeletons assist individuals with mobility impairments, enhancing their gait and quality of life. This study presents the iP3T model, designed to optimize gait phase prediction through the fusion of multimodal time…
View article: Prognostic nomogram based on the gamma-glutamyl transpeptidase-to-platelet ratio for patients with compensated cirrhotic hepatocellular carcinoma after local ablation
Prognostic nomogram based on the gamma-glutamyl transpeptidase-to-platelet ratio for patients with compensated cirrhotic hepatocellular carcinoma after local ablation Open
Background Hepatocellular carcinoma (HCC) patients with compensated cirrhosis typically face a high prevalence and unfavorable prognosis. However, there is currently a deficiency in prediction models to anticipate the prognosis of these pa…
View article: DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence Open
We present DeepSeek-Coder-V2, an open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. Specifically, DeepSeek-Coder-V2 is further pre-trained from an intermediat…
View article: Two-Layer Optimization Strategy of Electric Vehicle and Air Conditioning Load Considering the Benefit of Peak-to-Valley Smoothing
Two-Layer Optimization Strategy of Electric Vehicle and Air Conditioning Load Considering the Benefit of Peak-to-Valley Smoothing Open
To satisfy the interests of multiple agents and those of comprehensive indicators such as peak-to-valley differences and load fluctuations occurring on the network side, this paper presents a flexible load demand-side response optimization…
View article: Baicalin Weakens the Virulence of Porcine Extraintestinal Pathogenic Escherichia coli by Inhibiting the LuxS/AI-2 Quorum-Sensing System
Baicalin Weakens the Virulence of Porcine Extraintestinal Pathogenic Escherichia coli by Inhibiting the LuxS/AI-2 Quorum-Sensing System Open
Porcine extraintestinal pathogenic Escherichia coli (ExPEC) is a pathogenic bacterium that causes huge economic losses to the pig farming industry and considerably threatens human health. The quorum sensing (QS) system plays a crucial role…
View article: A Demand-Side Response Optimization Method for Flexible Loads Considering the Benefits of Peak-to-Valley Smoothing
A Demand-Side Response Optimization Method for Flexible Loads Considering the Benefits of Peak-to-Valley Smoothing Open
To satisfy the interests of multiple agents and those of comprehensive indicators such as peak-to-valley differences and load fluctuations occurring on the network side, this paper presents a flexible load demand-side response optimization…
View article: PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization
PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization Open
Supervised fine-tuning is the most common method to adapt large language models (LLMs) to downstream tasks, but full fine-tuning LLMs requires massive computational resources. Recently, parameter-efficient fine-tuning (PEFT) methods have b…
View article: PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain Open
We present PCA-Bench, a multimodal decision-making benchmark for evaluating the integrated capabilities of Multimodal Large Language Models (MLLMs). Departing from previous benchmarks focusing on simplistic tasks and individual model capab…
View article: Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding Open
To mitigate the high inference latency stemming from autoregressive decoding in Large Language Models (LLMs), Speculative Decoding has emerged as a novel decoding paradigm for LLM inference. In each decoding step, this method first drafts …
View article: DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Open
The rapid development of open-source large language models (LLMs) has been truly remarkable. However, the scaling law described in previous literature presents varying conclusions, which casts a dark cloud over scaling LLMs. We delve into …