A5101954353- Supramolecular Chemistry and Complexes
- Ecology and Vegetation Dynamics Studies
- Molecular Sensors and Ion Detection
- Scientific Computing and Data Management
- Catalytic Processes in Materials Science
- Topic Modeling
- Retinoids in leukemia and cellular processes
- Species Distribution and Climate Change
- Handwritten Text Recognition Techniques
- Wildlife Ecology and Conservation
- Photoreceptor and optogenetics research
- Advanced Neural Network Applications
- Electrocatalysts for Energy Conversion
- Catalysis and Oxidation Reactions
- Machine Learning in Materials Science
- Precipitation Measurement and Analysis
- Carbon and Quantum Dots Applications
- Artificial Intelligence in Healthcare
- Digital Holography and Microscopy
- Tracheal and airway disorders
- Mobile and Web Applications
- Human Pose and Action Recognition
- Adipokines, Inflammation, and Metabolic Diseases
- Advanced Causal Inference Techniques
- Brain Tumor Detection and Classification
Guizhou University
2024
Xiamen University
2021-2023
Tianjin University of Technology
2023
Tiangong University
2023
Anhui University
2023
Northwestern University
2022
Pennsylvania State University
2022
Beijing Institute of Fashion Technology
2022
Dalian Medical University
2021
Visa (United States)
2020
We study the problem of making item recommendations to ephemeral groups, which comprise users with limited or no historical activities together. Existing studies target persistent groups substantial activity history, while lack interactions. To overcome group interaction sparsity, we propose data-driven regularization strategies exploit both preference covariance amongst who are in same group, as well contextual relevance users' individual preferences each group. make two contributions....
The universal adaptive strategy theory (UAST) describes how the ecological of plants changes along succession after disturbance. However, whether it applies to those off-peak successional pathways in extremely heterogeneous forests is uncertain. This study established a series forest dynamic plots natural regeneration subtropical karst forests, and aimed verify UAST applied forests. By measuring dominant plant functional traits (PFTs) quantifying spectrum, we found that PFTs varied...
Abstract The development of stimuli‐responsive artificial H + /Cl − ion channels, capable specifically disturbing the intracellular homeostasis cancer cells, presents an intriguing opportunity for achieving high selectivity in therapy. Herein, we describe a novel family non‐covalently stapled self‐assembled channels activatable by biocompatible visible light at 442 nm, which enables co‐transport across membrane with transport 6.0. Upon photoirradiation caged C4F‐L 10 min, 90 % efficiency can...
PI3K is a downstream target of multiple cell-surface receptors, which acts as crucial modulator both cell polarization and survival. PI3K/AKT signaling pathway commonly involved in cancer, atherosclerosis, other diseases. However, its role cardiovascular diseases, especially remains to be further investigated. To determine the effect on cellular inflammatory response oxidative stress, inhibitor (GDC0941) AKT (MK2206) were used. First, THP-1 cells incubated with ox-LDL (100 µg/ml) establish...
In the current global context, disclosure of Environmental, Social, and Governance (ESG) information has emerged as a crucial factor influencing investment decisions corporate evaluations. This led to strengthened regulatory requirements aimed at enhancing transparency quality disclosures. paper thoroughly investigates frameworks for ESG challenges faced by companies in adapting these demands. It analyzes how bodies formulate implement policies, well respond policy requirements. Employing...
While Large Language Models (LLMs) demonstrate impressive capabilities in text generation, we find that their ability has yet to be generalized music, humanity's creative language. We introduce ChatMusician, an open-source LLM integrates intrinsic musical abilities. It is based on continual pre-training and finetuning LLaMA2 a text-compatible music representation, ABC notation, the treated as second ChatMusician can understand generate with pure tokenizer without any external multi-modal...
Neural network pruning has shown promising performance in reducing computational complexity and facilitate the deployment of deep neural networks on resource-limited edge devices. Most existing methods focus indicators filter's weight, gradient, or feature map regard weak similar filters as redundancy. In contrast, representation discriminative power is also a fundamental attribute that analog to have extraordinary various tasks. However, such neglected works. Alternatively, we propose novel...
In the past three years, continuous fuzzing projects Syzkaller and Syzbot have achieved great success in detecting kernel vulnerabilities, finding more bugs than those found 20 years.However, a side effect of is that it generates an excessive number crash reports, many which are "duplicated" reports caused by same bug.While uses simple heuristic to group (deduplicate) we find often inaccurate.In this paper, empirically analyze duplicated bug understand: (1) prevalence duplication; (2)...
There are increasing numbers of hand interaction system based on Microsoft Kinect for its providing the extra depth information which facilitates segmentation. However, most recent papers focus stable recognition whose assumption can hardly be fulfilled in highly interactive HCI environment. We proposed a robust method to recognize both moving and hand. explored several features RGB images novel descriptor, then built feature selection model find recognition. Then, we exploited hierarchical...
Constructing asymptotically valid confidence intervals through a central limit theorem is crucial for A/B tests, where classical goal to statistically assert whether treatment plan significantly better than control plan. In some emerging applications online platforms, the not single plan, but instead encompasses an infinite continuum of plans indexed by continuous parameter. As such, experimenter only needs provide statistical inference, also desires effectively and adaptively find optimal...
Abstract The development of stimuli‐responsive artificial H + /Cl − ion channels, capable specifically disturbing the intracellular homeostasis cancer cells, presents an intriguing opportunity for achieving high selectivity in therapy. Herein, we describe a novel family non‐covalently stapled self‐assembled channels activatable by biocompatible visible light at 442 nm, which enables co‐transport across membrane with transport 6.0. Upon photoirradiation caged C4F‐L 10 min, 90 % efficiency can...
As the acceleration of aged population tendency, building models to forecast Alzheimer’s Disease (AD) is essential. In this article, we surveyed 1157 interviewees. By analyzing results using three machine learning methods—BP neural network, SVM and random forest, can derive accuracy them in forecasting AD, so that compare methods solving AD prediction. Among them, forest most accurate method. Moreover, combine advantages methods, build a new combination model based on models, which proved...