A5101665802- Imbalanced Data Classification Techniques
- Remote Sensing and Land Use
- Satellite Image Processing and Photogrammetry
- Anomaly Detection Techniques and Applications
- Transportation Planning and Optimization
- Financial Distress and Bankruptcy Prediction
- Transportation and Mobility Innovations
- Advanced Queuing Theory Analysis
- Optimization and Search Problems
- Cancer-related gene regulation
- Simulation Techniques and Applications
- Network Security and Intrusion Detection
- Differential Equations and Boundary Problems
- Advanced Bandit Algorithms Research
- Climate Change and Health Impacts
- Consumer Market Behavior and Pricing
- Remote Sensing and LiDAR Applications
- Image and Object Detection Techniques
- Medical Image Segmentation Techniques
- Robotics and Sensor-Based Localization
- Urban Transport and Accessibility
- RNA modifications and cancer
- Supply Chain and Inventory Management
- Environmental Changes in China
- Advanced Computational Techniques and Applications
Southern Taiwan University of Science and Technology
2025
Northwestern University
2020-2024
University of Science and Technology of China
2021-2023
Shanghai University
2023
Qilu University of Technology
2023
Shandong Academy of Sciences
2023
Beihang University
2022
Southern Medical University
2018
Peking University
2017
Institute for Infocomm Research
2013-2015
Abstract BACKGROUND Hypertension remains a severe challenge to population health worldwide. This study assessed the impact of nationwide program in China—Essential Public Health Services (EPHS) on improvement hypertension treatment and control. METHODS A cohort hypertensive patients was identified from 2011–2013 China Retirement Longitudinal Study. defined based on: (i) an average systolic blood pressure ≥140 mm Hg, and/or diastolic ≥90 Hg; (ii) currently taking antihypertensive medications....
Mobility-on-Demand Transit (MoDT) is a suitable solution for linking packed urban centers to low-demand suburban areas. Meanwhile, micromobility services, including dockless bikesharing and electric scooters, are growing exponentially worldwide, providing low-cost, low-emission travel mode short home-based trips. We propose an intermodal network in which travelers use the first-/last-mile connections MoDT. The optimal design of formulated as two-stage stochastic program with...
Aedes albopictus is among the 100 most invasive species worldwide and poses a major risk to public health. Photoperiodic diapause provides crucial ecological basis for adaptation of this adverse environments. Ae. vital vector transmitting dengue virus in Guangzhou, but its activities herein remain obscure.In laboratory, yeast powder food slurry were compared proper determination method, critical photoperiod (CPP) was tested at illumination times 11, 11.5, 12, 12.5, 13, 13.5 h. A 4-parameter...
We investigate an individual's decision-making problem in a competitive and uncertain environment, where multiple learners (decision-makers) confront unknown objective functions, lack competitor data, optimize actions over finite horizon. Within general framework, we explore what conditions ensure good performance of learning policies solely based on individual data. show that when learner functions exhibit stability property data is informative regarding the learner's best response to...
The recent credit crisis has renewed regulatory concerns of industrial interest in risk analysis. To reduce exposure to default, it thus becomes a crucial motive select vital features analyse the customer's profiles. This desired set can be generated through data mining techniques such as feature selection methods. However, each method its advantages and limitations. In practice, using single inevitably introduces undesirable estimation bias. Instead, this paper proposes bagging model, which...
Morphogenesis is a spatially and temporally regulated process involved in various physiological pathological transformations. In addition to the associated biochemical factors, physical regulation of morphogenesis has attracted increasing attention. However, driving force initiation remains elusive. Here, it shown that during growth multilayered tissues, morphogenetic can be self-organized by progression compression gradient stemmed from interfacial mechanical interactions between layers....
Due to the absence or scarcity of outliers, designing a robust outlier detector is very challenging. In this paper, we first propose use maximum margin criterion sift unknown outliers from given data set, which demonstrates superior performance in detection. However, resultant learning task formulated as Mixed Integer Programming (MIP) problem, computationally hard. To end, alter recently developed label generating technique, efficiently solves convex relaxation MIP problem Specifically, an...
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Abstract Methyltransferase like 9 ( Mettl9 ) is a member of the methyltransferase protein family which characterized by presence binding domains for S-adenosyl methionine, (SAM), co-substrate methylation reactions. Despite METTL9 predicted to be methyltransferase, its enzymatic activity, substrate specificities and biological functions are still poorly characterized. In this study, we revealed tumor-promoting role METTL9. We found that deletion in tumor cells suppresses growth elicits potent...
Because of the scarcity and diversity outliers, it is very difficult to design a robust outlier detector. In this paper, we first propose use maximum margin criterion sift unknown which demonstrates superior performance. However, resultant learning task formulated as Mixed Integer Programming (MIP) problem, computationally hard. Therefore, alter recently developed label generating technique, efficiently solves convex relaxation MIP problem detection. Specifically, an effective procedure find...
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With the development of Global Position System and Inertial Navigation (INS), precise position attitude parameters airborne platform can be obtained. The new systems, such as INSAR Scanning Laser Ranger, are excellent equipment for acquiring relative height Earth objects. At same time optical remote sensing sensor makes rapid progress. It is to integrate these system into a one, which provide high accurate DEM image synchronically.
This paper develops a new method for computing the stationary distribution and steady-state performance measures of stochastic systems that can be described as continuous-state Markov chain supported on R. The balance equations are solved by constructing proxy with finite states. We show consistency approximate solution provide deterministic non-asymptotic error bounds under supremum norm. Our is near-optimal among all approximation methods using discrete distributions. apply developed to...
Temporal modeling is a key problem in action recognition, and it remains difficult to accurately model temporal information of videos. In this paper, we present local spatiotemporal extraction module (LSTE) channel time excitation (CTE), which are specially designed video sequences. The LSTE first obtains difference features by computing the pixel-wise differences between adjacent frames within each segment then motion stressing effect feature channels sensitive information. merged with...
Fluorescence spectroscopy has been successfully applied to the identification of colorants in oil paintings and murals due advantage non-destructive detection, but traditional equipment uses xenon lamp as excitation light source, which is energy inefficient process using, monochromatic output power weak unstable. This paper proposes use ultra-continuous spectrum broad-band tunable laser with fiber optic sensors achieve effective detection fluorescence signals silk dyes, compared...
Assortment optimization finds many important applications in both brick-and-mortar and online retailing. Decision makers select a subset of products to offer customers from universe substitutable products, based on the assumption that purchase according Markov chain choice model, which is very general model encompassing popular models. The existing literature predominantly assumes customer arrival process parameters are given as input stochastic model. However, practice, decision may not...
On-demand transportation systems (OTS) are increasingly popular worldwide. Modeling these as closed queueing networks (CQN) or semi-open (SOQN) makes optimizations tractable, and controls robust to input data. Prior literature has obtained mean performance measures (e.g., vehicle availability) by decomposing OTS into for which product-form equilibrium distributions exist. However, such an approach is unsatisfactory in terms of computational complexity large micromobility networks. This paper...