A5100334813- Topic Modeling
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced battery technologies research
- Catalytic Alkyne Reactions
- Electrocatalysts for Energy Conversion
- Catalytic C–H Functionalization Methods
- Industrial Vision Systems and Defect Detection
- Hydrology and Sediment Transport Processes
- Hydraulic flow and structures
- Conducting polymers and applications
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Infrastructure Maintenance and Monitoring
- Cyclopropane Reaction Mechanisms
- Advanced Text Analysis Techniques
- Soil erosion and sediment transport
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Video Analysis and Summarization
- Polydiacetylene-based materials and applications
- Ferroptosis and cancer prognosis
- Caveolin-1 and cellular processes
- Intracerebral and Subarachnoid Hemorrhage Research
- Computational and Text Analysis Methods
Dalian Medical University
2024-2025
Chongqing Medical University
2024-2025
Second Affiliated Hospital of Chongqing Medical University
2024-2025
Sichuan University
2025
Qingdao University of Science and Technology
2023-2025
Peking University
2022-2024
Loma Linda University
2024
Huazhong University of Science and Technology
2024
Tongji Hospital
2024
Shanghai Jiao Tong University
2023-2024
Traditional thermochromic materials prioritize high sensitivity and rapid discoloration. Reversible thermochromism with delayed discoloration is highly desirable for applications like thermal history indicators energy-saving windows, yet it has rarely been achieved. Here, we construct such composites simply by assembling hydrophobic silica nanoparticles in a polydimethylsiloxane (PDMS) matrix. The films transition from colorless translucent to blue within minutes when heated above 60 °C...
Ferroptosis is a distinct form of cell death characterized by iron-dependent lipid peroxidation and plays crucial role in the early brain injury (EBI) following subarachnoid hemorrhage (SAH). As newly discovered endogenous ligand for C-KIT receptor tyrosine kinase, meteorin-like protein (Metrnl) exerts regulatory functions oxidative stress protects against various diseases. However, specific Metrnl/C-KIT axis neuronal ferroptosis during EBI SAH remains to be elucidated. Sprague Dawley rats...
Gas-insulated switch cabinets play a significant role in the power industry, and eco-friendly are hotspot of current development. With research alternative gases for SF6, fluorocarbon insulating possessing stable physicochemical properties provide new insight scientists. This work studies sensing adsorption Pt–MoSe2 monolayer gas characteristic decomposition products COF2, CF4, C2F6 terms stability, energy (Ead), charge transfer (QT), band structure (BS), density states (DOS) as well...
Herein, a palladium-catalyzed diastereoselective dearomatization/cross-coupling cyclization reaction between N-arylacyl indoles and (E)-β-chlorovinyl ketones is reported. Through this cyclization/cycloisomerization cascade, series of furan-containing indolines were obtained in yields up to 95%. The features readily accessible starting materials, benzyl Pd(II)-catalyzed cycloisomerization ketones, the sequential formation three bonds bis-heterocycles, excellent diastereoselectivity. More...
Recent advances in machine learning have significantly impacted the field of information extraction, with Large Language Models (LLMs) playing a pivotal role extracting structured from unstructured text. This paper explores challenges and limitations current methodologies entity extraction introduces novel approach to address these issues. We contribute by first introducing formalizing task Structured Entity Extraction (SEE), followed proposing Approximate Set OverlaP (AESOP) Metric designed...
A palladium-catalyzed domino cyclization/cycloisomerization reaction of alkyne-tethered carbamoyl chlorides with (E)-β-chloroenones is reported. This proceeds via a syn-carbopalladation the alkyne, followed by vinyl-PdII-catalyzed cycloisomerization (E)-β-chloroenone cascade, which provides an efficient method to synthesize furan-linked methylene oxindoles. The features stereodefined vinyl-PdII species, high excellent 5-exo/6-endo selectivity, Z/E and sequential formation three bonds...
Abstract To address the issues of high demand for efficiently recognizing fish species in marine scientific research, such as impact assessments on biodiversity and monitoring, an automated hierarchical image classification web‐based platform, named FishAI, was developed. Trained with images collected from World Register Marine Species, FishAI used Vision Transformer (ViT) model, to classify fish. The model considers hierarchy levels, covering 3 classes, 38 orders, 154 families, 438 genera,...
Biodiversity plays a crucial role in driving multiple ecosystem functions temperate grasslands. However, our understanding of how biodiversity regulates the impacts desertification processes on multifunctionality (EMF) remains limited. In this study, we investigate plant diversity, soil microbial diversity (fungal, bacterial, archaeal, and arbuscular mycorrhizal fungal (AMF) diversity), properties (soil water content, pH, clay content), N mineralization, phosphatase activity, AMF infection...
Conversational recommender systems (CRS) aim to timely trace the dynamic interests of users through dialogues and generate relevant responses for item recommendations. Recently, various external knowledge bases (especially graphs) are incorporated into CRS enhance understanding conversation contexts. However, recent reasoning-based models heavily rely on simplified structures such as linear or fixed-hierarchical causality reasoning, hence they cannot fully figure out sophisticated...
Divergent synthesis of spirooxindoles and furan-containing oxindoles via base-controlled palladium catalysis was achieved. The key intermediates, allene insertion, Pd–carbene migratory insertion are supported by DFT calculations.
Large Language models (LLMs) usually rely on extensive training datasets. In the financial domain, creating numerical reasoning datasets that include a mix of tables and long text often involves substantial manual annotation expenses. To address limited data resources reduce cost, we introduce FinLLMs, method for generating question-answering based common formulas using Models. First, compile list construct graph variables these employ. We then augment formula set by combining those share...
Radiotherapy is a mainstay treatment used in clinics for locoregional therapy, although it still represents great challenge to improve the sensitivity and accuracy of radiotherapy tumors. Here, we report conjugated polymer, polydiiododiacetylene (PIDA), with an iodine content 84 wt %, as highly effective computed tomography (CT) contrast agent tumor microenvironment-responsive radiosensitizer. PIDA exhibited several key properties that contribute improvement precision radiotherapy. The...
The rapid progress of Transformers in artificial intelligence has come at the cost increased resource consumption and greenhouse gas emissions due to growing model sizes. Prior work suggests using pretrained small models improve training efficiency, but this approach may not be suitable for new structures. On other hand, from scratch can slow, progressively stacking layers often fails achieve significant acceleration. To address these challenges, we propose a novel method called Apollo,...
Introduction In response to the need for automated classification in global marine biological studies, deep learning is applied image-based of echinoderms. Methods Images echinoderms are collected and classified according their systematic taxonomy. The images belong 5 classes, 38 orders, 145 families, 459 genera, 1021 species, respectively. model, EfficientNetV2, outperforms competing model chosen developing tool, EchoAI. Then, EfficientNetV2-based EchoAI each taxonomic level. Results...