Anxiety mediates the effect of social media addiction on negative attentional bias: the moderating role of impulsivity.

Objective: In China, platforms such as WeChat serve as integral hubs for communication, education, and daily life, rendering social media addiction a pressing concern among university students. Their profound digital immersion, combined with academic pressures, creates a unique contextual milieu where the cognitive ramifications of addiction, including negative attentional bias may be exacerbated. This study therefore aims to investigate the mediating role of anxiety and the moderating role of impulsivity in the relationship between social media addiction and negative attentional bias.

The comorbidity of anxiety and depression symptoms in obsessive-compulsive disorder: a network analysis.

Objective: People with obsessive-compulsive disorder (OCD) frequently suffer from comorbid anxiety and depression. From the perspective of the network model, this comorbidity is thought to be an interacting system of three symptoms. In the study, we conducted a network analysis of anxiety and depression comorbidity in OCD, aiming to identify the central and bridge symptoms and make informed suggestions for clinical interventions and psychotherapy.

MEMS Acoustic Sensors: Charting the Path from Research to Real-World Applications.

MEMS acoustic sensors are a type of physical quantity sensor based on MEMS manufacturing technology for detecting sound waves. They utilize various sensitive structures such as thin films, cantilever beams, or cilia to collect acoustic energy, and use certain transduction principles to read out the generated strain, thereby obtaining the targeted acoustic signal's information, such as its intensity, direction, and distribution. Due to their advantages in miniaturization, low power consumption, high precision, high consistency, high repeatability, high reliability, and ease of integration, MEMS acoustic sensors are widely applied in many areas, such as consumer electronics, industrial perception, military equipment, and health monitoring.

The Relationships between Effortful Control, Mind Wandering, and Mobile Phone Addiction Based on Network Analysis.

Background: The prevailing mobile phone use brought the problem of addiction, which might cause negative consequences. Effortful control and mind wandering were associated with addictive behavior. The present study aimed to investigate the dimension-level relationships between effortful control, mind wandering, and mobile phone addiction.

Factors influencing work engagement among male nurses: A structural equation model.

Aim: To investigate the male nurses' engagement in nursing work and the influencing factors.

Design: A cross-sectional study.

Methods: A cross-sectional survey was conducted in 13 hospitals in China to collect data from 328 male nurses from August to October 2021.

The relationship between components of hypoglycemia worries and avoiding hypoglycemia behavior in type 2 diabetes mellitus with hypoglycemia: a network analysis.

Background: The fear of hypoglycemia in type 2 diabetes mellitus (T2DM) patients with hypoglycemia has seriously affected their quality of life. They are always afraid of hypoglycemia and often take excessive action to avoid it. Yet, researchers have investigated the relationship between hypoglycemia worries and excessive avoiding hypoglycemia behavior using total scores on self-report measures.

The military occupational stress response scale: Development, reliability, and validity.

Soldiers in the military are exposed to numerous stressors, including some that are of an extreme nature. The main objective of this military psychology research study was to evaluate soldiers' occupational stress. Even though several tools have been developed to measure stress in this population, to date, none have focused on occupational stress.

Experimental Studies of the Attention Processing Model in Multiple Object Tracking Task.

(1) Background: Attention is an important cognitive process in daily life. However, limited cognitive resources have been allocated to attention, especially for multiple objects and its mechanism is still unclear. Most of the previous studies have been based on the static attention paradigms with relatively lower ecological validity.

Social responsibility and subjective well-being of volunteers for COVID-19: The mediating role of job involvement.

Aim: Our study aimed to investigate the effect of social responsibility on the subjective well-being of volunteers for COVID-19 and to examine the mediating role of job involvement in this relationship.

Background: Nowadays, more and more people join volunteer service activities. As we all know, volunteer work contributes to society without any return.

Career identity and career success among Chinese male nurses: The mediating role of work engagement.

Aim: This study aimed to investigate the effect of career identity on career success among Chinese male nurses and to examine the mediating role of work engagement in this relationship.

Background: Recently, with the development of the nursing career, male nurses take up a higher share and play a more important role in the nursing team. With its own particularity and advantages, this group's stability closely relates to the future of the nursing team.

Transcranial Electrical Stimulation Offers the Possibility of Improving Teamwork Among Military Pilots: A Review.

Effective teamwork among military pilots is key to successful mission completion. The underlying neural mechanism of teamwork is thought to be inter-brain synchronization (IBS). IBS could also be explained as an incidental phenomenon of cooperative behavior, but the causality between IBS and cooperative behavior could be clarified by directly producing IBS through extra external stimuli applied to functional brain regions.

Processing Self-Related Information Under Non-attentional Conditions Revealed by Visual MMN.

Mismatch negativity (MMN) of event-related potentials (ERPs) is a biomarker reflecting the preattentional change detection under non-attentional conditions. This study was performed to explore whether high self-related information could elicit MMN in the visual channel, indicating the automatic processing of self-related information at the preattentional stage. Thirty-five participants were recruited and asked to list 25 city names including the birthplace.

Network structure of PTSD symptoms in Chinese male firefighters.

The network perspective of mental disorder offers a novel way of understanding the psychopathology of post-traumatic stress disorder (PTSD). In this framework, PTSD may arise from direct interactions between its symptoms. In the present study, we used the Post-Traumatic Stress Disorder Checklist-civilian Version (PCL-C) to investigate the network structure of PTSD symptoms in 994 Chinese male firefighters.

Effects of cellulose, hemicellulose, and lignin on the combustion behaviours of biomass under various oxygen concentrations.

The combustion behaviours of three components, namely hemicellulose, cellulose, and lignin, and four types of biomass, namely rice straw, bamboo, peanut shell, and chestnut shell, were examined in a drop tube furnace set at 1273 K, in O/N atmospheres containing 21-100% O. Radiant energy analysis technology was employed to infer the temperatures of the samples. The results show that the ignition mechanisms of cellulose and hemicellulose change at 30% and 70% O, respectively, and the lignin particle ignites homogeneously at 20-30% O, heterogeneously at 50% O, and hetero-homogeneously at 70-100% O, respectively.

Effects of hemicellulose, cellulose and lignin on the ignition behaviors of biomass in a drop tube furnace.

The aim of this work was to investigate the effects of cellulose, hemicellulose and lignin on the ignition behaviors of biomass. The ignition events of three components and five types of single biomass particles were captured by a high-speed camera in a drop tube furnace with a temperature of 1273 K, and the combustion temperatures for the single biomass particles were measured by radiant energy analysis technology. The comparison of the flame images and the temperature evolution of five types of biomass with three components shows that the lignin content in the biomass particle strongly influences the ignition behaviors.