- Healthcare Policy and Management
- Nanomaterials for catalytic reactions
- Cardiovascular Health and Risk Factors
- Health Systems, Economic Evaluations, Quality of Life
- COVID-19 epidemiological studies
- Primary Care and Health Outcomes
- Global Health Care Issues
- Outsourcing and Supply Chain Management
- COVID-19 Pandemic Impacts
- Health disparities and outcomes
- Evaluation and Optimization Models
- Rock Mechanics and Modeling
- Innovative Educational Techniques
- Fuel Cells and Related Materials
- Healthcare Operations and Scheduling Optimization
- Nanopore and Nanochannel Transport Studies
- Advanced Photocatalysis Techniques
- Smart Materials for Construction
- Advanced Sensor and Control Systems
- Geoscience and Mining Technology
- Sustainable Supply Chain Management
- Innovative concrete reinforcement materials
- Organ Transplantation Techniques and Outcomes
- Liver Disease and Transplantation
- Geomechanics and Mining Engineering
Southeast University
2023-2025
Zhejiang University
2025
Chongqing University of Science and Technology
2018-2025
Hebei University of Technology
2024
The University of Texas at Dallas
2015-2023
Sichuan University
2008-2023
Zhongda Hospital Southeast University
2022-2023
Shandong University
2023
BaiCheng Normal University
2018-2023
Environment and Plant Protection Research Institute
2023
The development of biocompatible advanced Fenton-like catalysts with high catalytic activity, good stability, and recyclability using sustainable biosourced materials is considerable interest yet remains a challenge. Herein, we develop novel mussel-inspired magnetic cellulose nanocomposite (MCNF/PDA) carboxylated nanofibers (CNF) explore as to effectively degrade organic dyes antibiotics. MCNF/PDA nanocomposites were prepared by anchoring Fe3O4 nanoparticles CNFs via chemical deposition...
The big data revolution is making vast amounts of information available in all sectors the economy including health care. One important type that particularly relevant to medicine observational from actual practice. In comparison experimental clinical studies, offers much larger sample sizes and broader coverage patient variables. Properly combining with can facilitate precision by enabling detection heterogeneity responses treatments tailoring care specific needs individuals. However,...
In this work, DNA-Hg(II) interactions were investigated by monitoring the translocation of DNA hairpins in a protein ion channel absence and presence metal ions. Our experiments demonstrate that target-specific hairpin structures could be stabilized much more significantly mercuric ions than stem length loop size due to formation Thymine-Hg(II)-Thymine complexes. addition, designed probe allows development highly sensitive nanopore sensor for Hg(2+) with detection limit 25 nM. Further, is...
Development of a novel strategy to tackle bacterial-contaminated complex industrial wastewaters containing refractory organic pollutants is great demand. In this study, polydopamine (PDA)-coated magnetic cellulose nanofiber (MCNF)-loaded silver nanoparticle (AgNP) (MCNF/PDA-Ag) nanocomposites were designed and applied for efficient degradation dye inactivation Escherichia coli (E. coli) in wastewater. the presence NaBH4, MCNF/PDA-Ag could achieve high catalytic reduction rate 6.54 min-1...
Clear cell hidradenoma (CCH) is a rare type of benign breast tumor that may undergo malignant transformation in few cases. It clinically manifests as painless mass, and include nipple discharge. Complete surgical excision with adequate safety margins the primary treatment. A 34-year-old man developed mass beneath left over 2 years. Although was painless, it gradually enlarged time accompanied by revealed cells were arranged solid nodule-like structures composed clear eosinophilic cytoplasm....
ABSTRACT Buried steel gas pipelines are increasingly facing safety challenges due to the escalating traffic loads and varying burial depths, which could potentially lead hazards such as leakage, fire, explosion. This paper investigates stress mechanisms in buried subjected vehicular loading through integrated analytical approaches. Theoretical modeling incorporates three key components: dynamic vehicle load characteristics, soil‐pipeline interaction pressures, distribution angles across...
In order to investigate the gene expression patterns and molecular regulatory mechanisms of obstructive sleep apnea hypopnea syndrome (OSAHS), global transcriptome profiles OSAHS patients healthy people were analyzed using sequencing technology. Differential circular RNA, microRNA, long noncoding messenger RNA was investigated between two groups. To further explore role differentially expressed genes in OSAHS, we functionally annotated enrichment analysis GO KEGG pathways. Finally, ceRNA...
Water is the most abundant molecule found on earth's surface and a key factor in multiscale rock destruction. However, given fine-grained nature of complexity its internal structure, microstructural evolution under action water has not yet been elucidated detail, little understood about relationship between structure solid–liquid unit. A variety techniques were used this study to track mechanical properties, pore crack characteristics, mineral degradation characteristics sandstone at...
Problem definition: We address two key questions faced by patients, physicians, and policy makers: (1) How do different types of patients benefit differently from elite surgeons? (2) can outcome data be used to achieve better healthcare at both the individual social levels? Academic/practical relevance: Existing provider quality information, which is almost exclusively based on population averages, cannot detect differences in surgeon effect for with characteristics or medical conditions....
Abstract We propose an asymptotically optimal heuristic, which we term randomized assignment control (RAC) for a restless multi-armed bandit problem with discrete-time and finite states. It is constructed using linear programming relaxation of the original stochastic formulation. In contrast to most existing literature, consider finite-horizon multiple actions time-dependent (i.e. nonstationary) upper bound on number bandits that can be activated at each time period; indeed, our analysis...
Since the outbreak of COVID‐19 pandemic, effectiveness stay‐at‐home orders implemented in many states United States has been subject ongoing debate. Whereas proponents believe these help reduce person‐to‐person contact and therefore spread opponents argue are unnecessary ineffective. In this study, we use eight that did not implement as a control group six neighboring them treatment to estimate orders. We find although residents both groups were staying at home even before implementation any...
We study the effect of Medicaid expansion on wait time in emergency department (ED), using a difference-in-differences approach, where treatment group includes states that expanded at beginning 2014 and control did not expand before 2016. first focus average find increases ED by 10.4% (or 3.5 minutes). then develop first-difference causal forest (FDCF) approach for heterogeneous treatment-effect analysis incorporating into approach. Our comprehensive simulation studies show FDCF has smaller...
Every year, nearly 5,000 patients die while waiting for kidney transplants, and yet an estimated 3,500 procured kidneys are discarded. Such a polarized coexistence of dire scarcity massive wastefulness has been mainly driven by insufficient pooling cadaveric across geographic regions. Although numerous policy initiatives aimed at broadening organ pooling, they rarely account key friction—efficient airline transportation, ideally direct flights, is necessary long-distance sharing, because the...
This study addresses the ubiquitous challenge of using big observational data to identify heterogeneous treatment effects. problem arises in precision medicine, targeted marketing, personalized education, and many other environments. Identifying effects presents several analytical challenges including high dimensionality endogeneity issues. We develop a new instrumental variable tree (IVT) approach that incorporates method into causal (CT) correct for potential biases may exist data. Our IVT...