A5100378138- Anomaly Detection Techniques and Applications
- AI in cancer detection
- Natural Language Processing Techniques
- Video Surveillance and Tracking Methods
- Intraocular Surgery and Lenses
- Advanced Clustering Algorithms Research
- Network Security and Intrusion Detection
- Advanced Computational Techniques and Applications
- Advanced Computing and Algorithms
- Radiomics and Machine Learning in Medical Imaging
- Topic Modeling
- Salivary Gland Disorders and Functions
- Quantum Information and Cryptography
- Robotic Path Planning Algorithms
- Metaheuristic Optimization Algorithms Research
- Data Management and Algorithms
- Artificial Immune Systems Applications
- Advanced MRI Techniques and Applications
- Gait Recognition and Analysis
- Face recognition and analysis
- Real-Time Systems Scheduling
- Adversarial Robustness in Machine Learning
- Medical Image Segmentation Techniques
- Underwater Vehicles and Communication Systems
- Generative Adversarial Networks and Image Synthesis
Shandong Sport University
2022-2025
Xiamen University
2008-2024
Xiamen Blood Center
2010-2024
Bengbu Medical College
2022-2024
Bengbu University
2022-2024
Harbin University of Science and Technology
2024
Wuhan Polytechnic University
2024
Guangdong Academy of Agricultural Sciences
2024
Key Laboratory of Guangdong Province
2024
Ministry of Agriculture and Rural Affairs
2024
Leptin, an anorexigenic hormone in the hypothalamus, suppresses food intake and increases energy expenditure. Failure to respond leptin will lead obesity. Here, we discovered that nuclear receptor Nur77 expression is lower hypothalamus of obese mice compared with normal mice. Injection results significant reduction body weight wild-type but not knockout (KO) littermates or specific knockdown hypothalamus. Hypothalamic only participates central control also expands leptin's reach liver...
Abstract Insects have flourished in various ecosystems owing to their evolutionary prowess. However, certain behaviours led specific species be classified as pests human‐dominated settings. Ensuring accurate pest identification and assessing risks are vital for both agricultural productivity effective control. While traditional methods, based on manual checks expert opinions, tend time‐consuming error‐prone, machine learning (ML)—a branch of artificial intelligence—has brought groundbreaking...
Path planning is one of the core issues in autonomous navigation an Unmanned Surface Vehicle (USV), as accuracy results directly affects safety USV. Hence, this paper proposes a USV path algorithm that integrates improved Particle Swarm Optimisation (PSO) with Dynamic Window Approach (DWA). Firstly, order to advance solution and convergence speed PSO algorithm, nonlinear decreasing inertia weight adaptive learning factors are introduced. Secondly, solve problem long non-smoothness, fitness...
Traffic monitoring cameras are powerful tools for traffic management and essential components of intelligent road infrastructure systems. In this paper, we present a vehicle localization scene reconstruction framework using these cameras, dubbed as CAROM, i.e., "CARs On the Map". CAROM processes videos converts them to anonymous data structures type, 3D shape, position, velocity replay. Through collaborating with local department transportation in United States, constructed benchmarking...
Nucleic acids are unique molecular recognition elements in biosensors having targets that range from ions, small molecules, peptides, proteins and DNA/RNA to virus whole cells. Pyrene is a polycyclic aromatic compound with very special photophysical characteristics, including long fluorescence lifetime, high quantum yield, the capability of forming excited state dimers large Stokes shift. In recent years, pyrene has been used extensively as novel signaling element nucleic acid sensors. this...
Background With aging, the cognitive function of prefrontal cortex (PFC) declined, postural control weakened, and fall risk increased. As a mind–body exercise, regular Tai Chi practice could improve effectively prevent falls; however, underlying brain mechanisms remained unclear, which were shed light on by analyzing effect PFC in older adults means functional near-infrared spectroscopy (fNIRS). Methods 36 healthy without experience divided randomly into group Control group. The experiment...
Many big data computations involve processing that changes incrementally or dynamically over time. Using existing techniques, such quickly become impractical. For example, computing the frequency of words in first ten thousand paragraphs a publicly available Wikipedia set streaming fashion using MapReduce can take as much full day. In this paper, we propose an approach based on self-adjusting computation dramatically improve efficiency computations. As perform aforementioned just couple minutes.
Primary Sjögren's syndrome (pSS) is an autoimmune disease affecting exocrine glands. Both autoreactive T cells and B are involved in the development of pSS, but their exact contribution to pathogenesis not clear. Here, we aimed investigate association B-cell activating factor (BAFF) interleukin (IL)-17A with subphenotypes pSS.Peripheral blood samples were collected from 31 pSS patients 28 healthy controls. The serum levels BAFF IL-17A quantified by sandwich ELISA.The increased circulating...
Differential evolution (DE) has been widely applied to complex global optimization problems. Different search strategies have designed find the optimum conditions in a fitness landscape. However, none of these works well over all possible landscapes. Since landscape associated with problem usually consists various local landscapes, each strategy is efficient particular type A reasonable approach combine several and integrate their advantages solve This paper presents new self-feedback...
Fuzzy k -means and vector quantization are combined in this paper to complement each other incremental mode because has qualities which the lacks. The threshold of is given pattern computing distance between new coming data point centers introduced a way. We firstly reduce redundant attributes eliminate difference units dimensions make all same. Then, we use -center produce initial means partition points into no more than clusters. Besides, adopt classify then adjust after structure...
Primary Sjögren's syndrome (pSS) is characterized by a panel of autoantbodies, while it not clear whether B cells and autoantibodies play an essential role in pathogenesis the disease. Here we report novel mouse model for pSS which induced immunization with Ro60_316-335 peptide containing predominant T cell epitope. After immunization, mice developed several symptoms mimicking pSS, including decreased secretion tears, lymphocytic infiltration into lacrimal glands, increased levels...
Recent research has revealed that deep neural networks often take dataset biases as a shortcut to make decisions rather than understand tasks, leading failures in real-world applications. In this study, we focus on the spurious correlation between word features and labels models learn from biased data distribution of training data. particular, define highly co-occurring with specific label word, example containing example. Our analysis shows examples are easier for learn, while at time...
The objective of traditional k-means algorithm is to make the distances objects in same cluster as small possible, but another that from different clusters not taken into account. This paper presents an improved satisfying both objectives above. We modify cost function entropy weighting clustering by adding a variable relevant linearly square sum mean all and means clusters. presented effectiveness demonstrated comparing results with other algorithms on Iris data.
Introduction Vehicle re-identification is a crucial task in intelligent transportation systems, presenting enduring challenges. The primary challenge involves the inefficiency of vehicle re-identification, necessitating substantial time for recognition within extensive datasets. A secondary arises from notable image variations same due to differing shooting angles, lighting conditions, and diverse camera equipment, leading reduced accuracy. This paper aims enhance performance by proficiently...
As the complexity and destructiveness of Advanced Persistent Threat (APT) increase, there is a growing tendency to identify series actions undertaken achieve attacker's target, called attack investigation. Currently, analysts construct provenance graph perform causality analysis on Point-Of-Interest (POI) event for capturing critical events (related attack). However, due vast size rarity events, existing investigation methods suffer from problems high false positives, overhead, latency. To...