Epidemiological characteristics of community-acquired pneumoniae in hospitalized children around COVID-19 from Jiangsu Province, China: a multicenter retrospective study.

Background: It has been reported that the emergence of coronavirus disease 2019 (COVID-19) has changed the epidemiological characteristics of many pathogens, but the epidemiological characteristics of (MP) infection in hospitalized children with community-acquired pneumonia (CAP) are not clear. The aim of this study was to answer this question.

Methods: Children with CAP in three tertiary hospitals (hospitals A, B and C) from 2018 to 2023 were selected.

Multimodal sentiment analysis based on multi-layer feature fusion and multi-task learning.

Multimodal sentiment analysis (MSA) aims to use a variety of sensors to obtain and process information to predict the intensity and polarity of human emotions. The main challenges faced by current multi-modal sentiment analysis include: how the model extracts emotional information in a single modality and realizes the complementary transmission of multimodal information; how to output relatively stable predictions even when the sentiment embodied in a single modality is inconsistent with the multi-modal label; how can the model ensure high accuracy when a single modal information is incomplete or the feature extraction performance not good. Traditional methods do not take into account the interaction of unimodal contextual information and multi-modal information.

Integrating network pharmacology and experimental verification to reveal the ferroptosis-associated mechanism of Changpu-Yizhi-Wan in the treatment of Alzheimer's disease.

To explore the pharmacological mechanism of Changpu-Yizhi-Wan (CYW) in the treatment of Alzheimer's disease (AD) from the perspective of ferroptosis based on network pharmacology and experimental verification. The Encyclopedia of Traditional Chinese Medicine 2.0 (ETCM2.

Neurobiological fingerprints of negative symptoms in schizophrenia identified by connectome-based modeling.

Aim: As a central component of schizophrenia psychopathology, negative symptoms result in detrimental effects on long-term functional prognosis. However, the neurobiological mechanism underlying negative symptoms remains poorly understood, which limits the development of novel treatment interventions. This study aimed to identify the specific neural fingerprints of negative symptoms in schizophrenia.

Early coagulation changes as predictors of adverse outcomes in patients with severe burn and inhalation injuries.

Background: Disorders of the coagulation pathway are triggered in patients with severe burn and inhalation injuries in the early stages. There are multiple early coagulation indices identified to correlate with adverse outcomes.

Method: A retrospective analysis of patients with severe burn and inhalation injuries from 12 centers in mainland China was performed to identify early changed coagulation indices with predictive value associated with four major 28-day adverse outcomes (death, anticoagulation, mechanical ventilation, continuous renal replacement therapy) by logistic regression.