A network analysis of depression and anxiety symptoms among Chinese elderly living alone: based on the 2017-2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS).

Background: Elderly individuals living alone represent a vulnerable group with limited family support, making them more susceptible to mental health issues such as depression and anxiety. This study aims to construct a network model of depression and anxiety symptoms among older adults living alone, exploring the correlations and centrality of different symptoms. The goal is to identify core and bridging symptoms to inform clinical interventions.

Does famine during the fetal period increase the degree of disability of the elderly?-An empirical study based on data from China.

Background: People who have experienced the Chinese Great Famine (1959-1961) in their fetal period are getting old. It is particularly important for China's response to the ageing of this cohort to study the impact of the Holodomor on disability.

Method: This paper presents an empirical analysis that utilizes the survey data from the 2018 China Health and Retirement Longitudinal Study (CHARLS), employing a cohort Difference-in-Differences (DID) modeling approach.

Automatic parking trajectory planning in narrow spaces based on Hybrid A* and NMPC.

The rapid acceleration of urbanization and the surge in car ownership necessitate efficient automatic parking solutions in constricted spaces to address the escalating urban parking issue. To optimize space utilization, enhance traffic efficiency, and mitigate accident risks, a method is proposed for smooth, comfortable, and adaptable automatic parking trajectory planning. This study initially employs a hybrid A* algorithm to generate a preliminary path, then fits the velocity and acceleration based on a cubic polynomial.

Synthesis of three-dimensional covalent organic frameworks through a symmetry reduction strategy.

Three-dimensional (3D) covalent organic frameworks (COFs) hold significant promise for a variety of applications. However, conventional design approaches using regular building blocks limit the structural diversity of 3D COFs. Here we design and synthesize two 3D COFs, designated as JUC-644 and JUC-645, through a methodology that relies on using eight-connected building blocks with reduced symmetry.

A generalist medical language model for disease diagnosis assistance.

The delivery of accurate diagnoses is crucial in healthcare and represents the gateway to appropriate and timely treatment. Although recent large language models (LLMs) have demonstrated impressive capabilities in few-shot or zero-shot learning, their effectiveness in clinical diagnosis remains unproven. Here we present MedFound, a generalist medical language model with 176 billion parameters, pre-trained on a large-scale corpus derived from diverse medical text and real-world clinical records.