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Efficient estimation of the cox model when incorporating the subgroup restricted mean survival time.
J Biopharm Stat
March 2025
Department of Statistics, National Cheng Kung University, Tainan, Taiwan.
The restricted mean survival time has been widely used in the field of medical research because of its clear physical and simple clinical interpretation. In this paper, we propose an efficient estimation that incorporates the auxiliary restricted mean survival information into the estimation of the proportional hazard (PH) model. Compared to conventional models that do not incorporate available auxiliary information, the proposed method improves efficiency in estimating regression parameters by utilizing the double empirical likelihood method.
View Article and Find Full Text PDFExploring Burnout at the Morgue During the COVID-19 Pandemic: A Three-Phase Analysis of Forensic and Pathology Personnel.
Healthcare (Basel)
February 2025
Faculty of Medicine, Lucian Blaga University of Sibiu, 550169 Sibiu, Romania.
: Burnout is a critical concern among healthcare professionals, particularly during crises such as the COVID-19 pandemic. This study investigated burnout levels among forensic medicine and pathology personnel at three distinct phases: the early pandemic period (Phase 1-September 2020), the peak of the pandemic (Phase 2-October 2021), and the post-pandemic period (Phase 3-October 2024). : A total of 37 participants employed in forensic medicine and pathology departments completed the Maslach Burnout Inventory (MBI).
View Article and Find Full Text PDFTuning the electronic state of CoFe alloy via in-situ partial Co nitridation for enhanced oxygen electrocatalysis in zinc-air battery.
J Colloid Interface Sci
March 2025
Heilongjiang Provincial Key Laboratory of Environmental Nanotechnology and Key Laboratory of Functional Inorganic Material Chemistry, Ministry of Education of the People's Republic of China, School of Chemistry and Materials Science, Heilongjiang University, Harbin 150080, China. Electronic address:
The low catalytic activity and high susceptibility to corrosion of CoFe alloys limit their efficiency and stability in oxygen evolution and reduction reactions (OER/ORR). Here, via a partial nitridation strategy, CoN is in-situ formed adjacent to CoFe alloy to construct a well-defined heterointerface within N-doped bamboo-like carbon nanotube (CoN-CoFe/NCNT). As indicated by computational calculations, the interfacial electrons are transferred from Fe atom to CoN in the CoN-CoFe heterojunction, optimizing the adsorption of O-intermediates and accelerating the rate-determining steps (*O to *OH in ORR and *O to *OOH in OER).
View Article and Find Full Text PDFAuxiliary Task-Based Deep Reinforcement Learning for Quantum Control.
IEEE Trans Cybern
January 2025
Due to its property of not requiring prior knowledge of the environment, reinforcement learning (RL) has significant potential for solving quantum control problems. In this work, we investigate the effectiveness of continuous control policies based on deep deterministic policy gradient. To achieve good control of quantum systems with high fidelity, we propose an auxiliary task-based deep RL (AT-DRL) for quantum control.
View Article and Find Full Text PDFResGRU: A Novel Hybrid Deep Learning Model for Compound Fault Diagnosis in Photovoltaic Arrays Considering Dust Impact.
Sensors (Basel)
February 2025
College of the Environment and Ecology, Xiamen University, Xiamen 361102, China.
With the widespread deployment of photovoltaic (PV) power stations, timely identification and rectification of module defects are crucial for extending service life and preserving efficiency. PV arrays, subjected to severe outside circumstances, are prone to defects exacerbated by dust accumulation, potentially leading to complex compound faults. The resemblance between individual and compound faults sometimes leads to misclassification.
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