The study investigates the healthcare expenditures and out-of-pocket (OOP) expenses for patients with multiple sclerosis (MS) in 77 urban cities in China from 2013 to 2015. Using a generalized estimating equation model, it identifies factors influencing direct medical costs and OOP expenses for both inpatients and outpatients. Key findings include the mean costs per inpatient and outpatient, the percentage of expenses paid OOP, and factors such as tertiary hospital admission, length of stay, and regional residence contributing to higher costs. Females and outpatients with resident insurance were found to pay more OOP.

The study utilizes 3DEC simulation to analyze the movement law of overlying strata in a single side roof cutting working face, focusing on the subsidence law of overlying rock and its implications for void fraction in the gob. The research details the displacement characteristics of various rock layers, the effect of air supply velocity on gas and oxygen concentration zones, and the risk zones for gas explosions and coal spontaneous combustion. The findings highlight the impact of air supply volume on the distribution of gas and oxygen concentrations, emphasizing the importance of ventilation in mitigating gas explosion risks and controlling coal spontaneous combustion in mining operations.

The article presents a study on Compressive Sensing-based Correlation Plenoptic Imaging (CPI), an advanced approach to plenoptic imaging that leverages light intensity correlations to enhance image resolution and depth of field. The paper discusses the feasibility of applying compressive sensing techniques to CPI, proposing an algorithm that incorporates a regularization term to improve image quality while reducing the number of necessary frames. The study includes numerical investigations, comparisons of single-problem and multiple-problems strategies, and the exploration of regularization terms that promote sparsity in different domains. The research demonstrates that compressive sensing can improve CPI image quality, potentially allowing for faster acquisition times, although computational costs remain a challenge. The work is supported by various funding sources and involves authors from Planetek Italia s.r.l. and Planetek Hellas E.P.E.

The article discusses the development of a wearable strain sensor that integrates mechanoluminescent fiber with a flexible printed circuit. The research involves multiple authors from various institutions in China, including Sun Yat-Sen University, Huzhou College, Beijing Normal University, and Guangdong University of Technology. The sensor technology aims to enhance wearable technology applications by leveraging mechanoluminescence for improved performance.

The study evaluates the effectiveness of a heart rate variability biofeedback (HRV-BF) protocol in mitigating mental health symptoms among frontline healthcare workers (HCWs) during the COVID-19 pandemic. Conducted at the Hospital Clínic of Barcelona, the study involved 21 female HCWs and utilized both psychometric questionnaires and electrophysiological measurements to assess stress, anxiety, and depression levels before and after the intervention. Results indicated significant improvements in mental health, with reductions in stress, anxiety, and depression symptoms. The study supports the use of a multiparametric chronic stress model based on electrophysiological variables as a reliable tool for assessing the effectiveness of mental health interventions. Further research is suggested to confirm these findings and explore the use of wearable devices for real-time monitoring.

The study assesses the preference of patients in Wuhan, China, for community health centers (CHCs) as their first choice for medical attention. Despite high satisfaction rates with CHCs, a significant portion of patients still prefer hospitals. Factors influencing this choice include geographic proximity, patient satisfaction with facilities and services, and financial concerns. The study highlights the challenges faced by China's primary care system, including workforce shortages and quality issues, and suggests that improving primary care could enhance patient trust and utilization.

Rice–crayfish coculture systems (RCSs) in China have been promoted as an efficient agricultural model that improves rice quality and farmers' incomes. This study examines the herd behavior of farmers in adopting RCSs, using data from 603 farmers and a bivariate probit model. Findings indicate that the number of prior adopters significantly influences farmers' likelihood of adopting RCSs, often leading to blind adoption. Information acquisition ability can significantly inhibit this herd behavior. The study also reveals that herd behavior in RCS adoption is not economically rational, as herding adopters show lower satisfaction and net income per hectare compared to non-herding adopters. Policy recommendations include improving farmers' information acquisition capabilities and regulating the expansion of RCSs to ensure sustainable agricultural development.

The paper reviews the principle and recent developments of photonic time-stretch imaging, an ultrafast imaging technique that maps spatial imaging information into a temporal profile using a dispersive medium. This technique achieves imaging speeds of millions of frames per second, surpassing traditional methods. The review covers improvements in imaging resolution and sensitivity, applications in various fields, and future trends, including integration with artificial intelligence and deep learning, system miniaturization, and bandwidth extension. The authors also discuss the physical limits of current systems and the need for calibration to address wavelength-induced variations.

The study explores the recovery of a highly reflective Bragg grating in DPDS-doped polymer optical fiber through thermal annealing. The research involves collaboration between multiple institutions, including the University of Mons, Shantou University, The Hong Kong Polytechnic University, and Beijing Normal University. The findings contribute to advancements in optical fiber technology and its applications.

The study presents a coherent frequency-modulated continuous-wave (FMCW) photonic radar system designed to determine the range information of a stationary target under various atmospheric conditions and solar background noise. The system's performance, analyzed using OptiSystem software and MATLAB, is evaluated in terms of signal-to-noise ratio. The findings indicate that solar noise can significantly degrade the performance of photonic radar systems, which also depends on the Sun's position and sky conditions. The proposed system achieves a range resolution of 5 meters at a target range of 500 meters under clear weather conditions with an acceptable signal-to-noise ratio, making it robust for practical applications such as automotive vehicle systems and navigation.