A5057883374- Energy Efficient Wireless Sensor Networks
- Protein Structure and Dynamics
- Indoor and Outdoor Localization Technologies
- Underwater Vehicles and Communication Systems
- Machine Learning in Bioinformatics
- Mobile Ad Hoc Networks
- Enzyme Structure and Function
- Data Management and Algorithms
- Genomics and Phylogenetic Studies
- Opportunistic and Delay-Tolerant Networks
- Algorithms and Data Compression
- Advanced Image and Video Retrieval Techniques
- Multi-Agent Systems and Negotiation
- Topic Modeling
- Advanced Neural Network Applications
- Semantic Web and Ontologies
- Neuropeptides and Animal Physiology
- Metaheuristic Optimization Algorithms Research
- Receptor Mechanisms and Signaling
- Robotics and Sensor-Based Localization
- Video Surveillance and Tracking Methods
- Digital Filter Design and Implementation
- Microbial Metabolic Engineering and Bioproduction
- Digital Mental Health Interventions
- Computational Drug Discovery Methods
Minzu University of China
2025
First Affiliated Hospital of Soochow University
2023-2025
Soochow University
2023-2025
Guangzhou University
2022-2025
University of Missouri
2015-2024
Lanzhou University
2024
Lanzhou University Second Hospital
2024
Zhujiang Hospital
2023
Southern Medical University
2023
State Forestry and Grassland Administration
2023
It is often useful to know the geographic positions of nodes in a communications network, but adding GPS receivers or other sophisticated sensors every node can be expensive. We present an algorithm that uses connectivity information who within range whom derive locations network. The method take advantage additional information, such as estimated distances between neighbors known for certain anchor nodes, if it available. based on multidimensional scaling, data analysis technique takes...
It is often useful to know the geographic positions of nodes in a communications network, but adding GPS receivers or other sophisticated sensors every node can be expensive. MDS-MAP recent localization method based on multidimensional scaling (MDS). uses connectivity information - who within range whom derive locations and take advantage additional data, such as estimated distances between neighbors known for certain anchor nodes, if they are available. However, an inherently centralized...
We propose an approach that uses connectivity information - who is within communications range of whom to derive the locations nodes in a network. The can take advantage additional information, such as estimated distances between neighbors or known positions for certain anchor nodes, if it available. It based on multidimensional scaling (MDS), efficient data analysis technique takes O(n/sup 3/) time network n nodes. Unlike previous approaches, MDS full distance have yet be localized. Two...
Deep learning has been shown to achieve outstanding performance in a number of challenging real-world applications. However, most the existing works assume fixed set labeled data, which is not necessarily true Getting data usually expensive and time consuming. Active labelling deep aims at achieving best result with limited set, i.e., choosing appropriate unlabeled get labeled. This paper presents new active labeling method, AL-DL, for cost-effective selection be AL-DL uses one three metrics...
Abstract Protein secondary structure prediction can provide important information for protein 3D and functions. Deep learning offers a new opportunity to significantly improve accuracy. In this article, deep neural network architecture, named the inception‐inside‐inception (Deep3I) network, is proposed implemented as software tool MUFOLD‐SS. The input MUFOLD‐SS carefully designed feature matrix corresponding primary amino acid sequence of protein, which consists rich set derived from...
Abstract Wireless sensor networks (WSNs) offer the potential to significantly improve efficiency of existing transportation systems. Currently, collecting traffic data for planning and management is achieved mostly through wired sensors. The equipment maintenance cost time‐consuming installations sensing systems prevent large‐scale deployment real‐time monitoring control. Small wireless sensors with integrated sensing, computing, communication capabilities tremendous advantages in low easy...
The attrition of both new and experienced teachers is a challenge for schools school administrators throughout the United States, particularly in large urban districts. Because importance this issue, there empirical literature that investigates why quit how they might be induced to stay. Here we build upon by suggesting another important factor teacher decision stay or leave: quality facilities. We investigate facility using data from survey K–12 public Washington, D.C. find our sample an...
Melanoma skin cancer accounts for less than 5% of cases but causes the most deaths due to cancer. Convenient automated diagnosis lesions and melanoma recognition can greatly improve early detection melanomas. This paper presents a prototype an image-based system on Android smart phones. The consists three major components: image segmentation, feature calculation, classification. It is designed run mobile device with camera, such as phone or tablet PC. A lesion converted monochrome outline...
The idea of sodium ions altering G-protein-coupled receptor (GPCR) ligand binding and signaling was first suggested for opioid receptors (ORs) in the 1970s subsequently extended to other GPCRs. Recently published ultra-high-resolution crystal structures GPCRs, including that δ-OR subtype, have started shed light on mechanism underlying control GPCR by revealing details site. Whether accesses different subtypes from extra- or intracellular sides, following similar pathways, is still an open...
We propose a novel global minimization method, called NOVEL (Nonlinear Optimization via External Lead), and demonstrate its superior performance on neural network learning problems. The goal is improved of application problems that achieves either smaller networks or less error prone the same size. This training method combines local searches to find good minimum. In benchmark comparisons against best optimization algorithms, it demonstrates improvement.
In this paper, we propose a novel decentralized traffic light control using wireless sensor network. The system architecture is classified into three layers; the network, localized flow model policy, and higher level coordination of lights agents. sensors are deployed on lanes going in out intersection. These detect vehicles' number, speed, etc. send their data to nearest Intersection Control Agent (ICA) which, determines inter- section depending sensors' (e.g., number vehicles approaching...
Patient self-management of diabetes is crucial to reducing its chronic progression and serious future health complications. Due the physical emotional complexities diabetes, adherence self-care activities can quickly decline because disheartening progress. While there exists technology that caters diabetic self-management, current state art mostly assists patients through mobile applications. For elderly, these apps are marginally effective even frustrating use. Therefore, this project...
Feature extraction is key in understanding and modeling of physiological data. Traditionally hand-crafted features are chosen based on expert knowledge then used for classification or regression. To determine important pick the effective ones to handle a new task may be labor-intensive time-consuming. Moreover, manual process does not scale well with large-size tasks. In this work, we present system Deep Belief Networks (DBNs) that can automatically extract from raw data 4 channels an...
Available crystal structures of opioid receptors provide a high-resolution picture ligand binding at the primary ("orthosteric") site, that is, site targeted by endogenous ligands. Recently, positive allosteric modulators have also been discovered, but their modes and action remain unknown. Here, we use metadynamics-based strategy to efficiently sample process recently discovered modulator δ-opioid receptor, BMS-986187, in presence orthosteric agonist SNC-80, with receptor embedded an...
Treatment of myocardial infarction within the first 1 to 2 hours with a thrombolytic agent, percutaneous coronary intervention, or an αIIbβ3 antagonist decreases mortality and later development heart failure. We previously reported on novel small molecule antagonist, RUC-2, that has unique mechanism action. have now developed more potent soluble congener RUC-4, designed be easily administered intramuscularly by autoinjector facilitate its use in prehospital setting. Here, we report...
Allosteric modulators of G protein-coupled receptors (GPCRs) have a number potential advantages compared to agonists or antagonists that bind the orthosteric site receptor. These include for receptor selectivity, maintenance temporal and spatial fidelity signaling in vivo, ceiling effect allosteric cooperativity which may prevent overdose issues, engendering bias by differentially modulating distinct pathways. Here we describe discovery, synthesis, molecular pharmacology δ-opioid...
In this paper, we present two ways to improve the precision of HITS-based algorithms on Web documents. First, by analyzing limitations current algorithms, propose a new weighted method that assigns appropriate weights in-links root Then, combine content analysis with and study effects four representative relevance scoring methods, VSM, Okapi, TLS, CDR, using set broad topic queries. Our experimental results show our performs significantly better than Bharat's improved HITS algorithm. When or...
Article Share on An intelligent distributed environment for active learning Authors: Yi Shang Department of Computer Engineering and Science, University Missouri-Columbia, Columbia, MO MOView Profile , Hongchi Shi Su-Shing Chen Authors Info & Claims WWW '01: Proceedings the 10th international conference World Wide WebMay 2001 Pages 308–315https://doi.org/10.1145/371920.372074Online:01 April 2001Publication History 40citation918DownloadsMetricsTotal Citations40Total Downloads918Last 12...