A5039265688- Statistical Methods and Inference
- Matrix Theory and Algorithms
- Random Matrices and Applications
- Dialysis and Renal Disease Management
- Gaussian Processes and Bayesian Inference
- Antibiotic Use and Resistance
- HIV/AIDS drug development and treatment
- HIV Research and Treatment
- Neural Networks and Applications
- Advanced Algorithms and Applications
- HIV/AIDS Research and Interventions
- Mental Health Research Topics
- Opinion Dynamics and Social Influence
- Pediatric Urology and Nephrology Studies
- Robotics and Sensor-Based Localization
- Advanced Causal Inference Techniques
- Statistical Methods and Bayesian Inference
- Urinary Tract Infections Management
- Remote Sensing and Land Use
- COVID-19 epidemiological studies
Qingdao Agricultural University
2025
University of California, Santa Barbara
2024
For the accurate detection of obstacles in complex farmland environments, ResNet50 is adopted as backbone feature extraction network, pyramid network (FPN) utilized to enhance multi-scale fusion capability, and region interest alignment (ROI Align) strategy introduced improve candidate box localization precision. The experimental results show that precision, recall, mean accuracy (mAP) improved model are 91.6%, 89.7%, 93.8%, respectively, which by 2.7, 2.3, 3.1 percentage points compared...
This paper is concerned with a conditional test for regression coefficients in ultrahigh dimensional linear models. Conditioning on subset of important predictors the model, we overall significance remaining predictors. We first propose U-statistic (CUT) based an estimated high model and prove that its null asymptotic distribution normal under some mild assumptions. However, empirical power proposed inversely affected by dimensionality To this end, further two-stage CUT screening (CUTS)...
Background In-center hemodialysis entails repeated interactions between patients and clinic staff, potentially facilitating the spread of COVID-19. We examined if in-center is associated with SARS-CoV-2 patients. Methods Our retrospective analysis comprised all receiving in four New York City clinics March 12 th , 2020, August 31 st 2022. Treatment-level ID, dialysis shift, machine station, date COVID-19 diagnosis by RT-PCR were documented. To estimate donor-to-potential recipient exposure...
Repeated measurements are common in many fields, where random variables observed repeatedly across different subjects. Such data have an underlying hierarchical structure, and it is of interest to learn covariance/correlation at levels. Most existing methods for sparse matrix estimation assume independent samples. Ignoring the structure correlation within subject leads erroneous scientific conclusions. In this paper, we study problem positive-definite between-subject within-subject matrices...
Objective: To analyze the dynamic changes and influencing factors of HIV-1 DNA load in infected individuals under antiretroviral therapy (ART) Dehong Dai Jingpo autonomous prefecture, Yunnan province, provide information support for clinical use quantitative detection. Methods: The HIV infection cases recent cohort from Center Disease Control Prevention during 2009-2018 were selected as study subjects. curve varrying with time was generated logistic regression analysis conducted to identify...