Construction of a troublemaking risk assessment tool for patients with severe mental disorders in community of China.

Objective: Construction a troublemaking risk assessment tool to predict the risk of troublemaking for patients with severe mental disorders in the community of China.

Methods: 28,000 cases registered in the Jiangsu Provincial Severe Mental Disorder Management System from January 2017 to December 2019 were collected. The risk factors of troublemaking among patients with severe mental disorders in the community were analyzed through Logistic regression analysis, then the troublemaking risk assessment tool was established and verified.

Methane Adsorption in Heterogeneous Potential Wells of Coal: Characterization Model and Applications.

In terms of the phenomenon of nonuniformity adsorption energy between methane and a natural heterogeneous coal surface, a heterogeneous potential well model is established in this study based on adsorption science and molecular dynamics theories. This model describes the methane adsorption positions in coal pores as a three-dimensional space composed of adsorption equipotential surfaces with varying depths of potential well, which emphasizes the heterogeneous distribution of methane adsorption potential well depths in coal and accurately describes the spatial distribution and energy states of methane molecules during methane adsorption and desorption in naturally heterogeneous coal. By taking the residual sum of squares (RSS) and Pearson correlation coefficient as indicators, the fitting accuracies of the Langmuir model and the heterogeneous potential well model for isothermal adsorption and desorption curves are compared so that the superiority of the heterogeneous potential well model in describing the adsorption and desorption of methane in natural coal is confirmed.

PFSH-Net: Parallel frequency-spatial hybrid network for segmentation of kidney stones in pre-contrast computed tomography images of dogs.

Kidney stone is a common urological disease in dogs and can lead to serious complications such as pyelonephritis and kidney failure. However, manual diagnosis involves a lot of burdens on radiologists and may cause human errors due to fatigue. Automated methods using deep learning models have been explored to overcome this limitation.

Radiation therapy for childhood-onset craniopharyngioma: systematic review and meta-analysis.

Background: Craniopharyngioma (CP), a benign tumor originating from remnants of Rathke's pouch in the sellar region, accounts for approximately 30% of all cases of craniopharyngioma. Radiation therapy has been used to treat CP patients for decades; however, there is still a lack of systematic reviews on the long-term tumor control outcomes in pediatric CP patients treated with external radiation therapy.

Methods: We conducted a comprehensive search of multiple databases for studies on the tumor progression rates of childhood-onset CP(COCP) patients who received external radiotherapy.

Basic Science and Pathogenesis.

Background: Alzheimer's disease (AD) is the leading cause of dementia, affecting 50 million people globally. Current AD animal models mainly focus on familial or inherited AD. These models often carry the APP and PSEN gene mutations from familial AD patients, or introduce microtubule-associated protein tau (MAPT) mutations, which can cause frontotemporal dementia but are not linked to AD.