The impact of team psychological safety on employee innovative performance a study with communication behavior as a mediator variable.

This study aims to delve into the impact of team psychological safety on employee innovative performance and to analyze the mediating role of communication behavior in this process. Given the central role of innovation in the sustained competitiveness of enterprises, understanding how team psychological safety promotes employee innovation through communication behavior is of significant theoretical and practical importance. The study employs a structural equation model (SEM) to analyze survey data from 580 employees across various high-tech enterprises.

Spatio-temporal evolution and prediction of carbon balance in the Yellow River Basin and zoning for low-carbon economic development.

Studying the carbon effect of land use in watersheds is important for mitigating global warming, promoting coordinated emission reduction in different regions within the watersheds, and realizing high-quality development of the watersheds. Although a number of scholars have carried out relevant studies in the past, they mainly focused on carbon emissions, rarely involved the carbon balance formed by carbon sources and sinks, and lacked relevant studies on the development of low-carbon economy sub-region. Based on this, this study takes the Yellow River Basin as an example, explores the spatial and temporal evolution of carbon emissions from land use in counties in the Yellow River Basin from 1980 to 2020, and predicts the spatial pattern of carbon income and expenditure from land use under natural conditions in 2030 and 2060 using the PLUS model; and then superimposes on the main functional area planning, divides 735 counties in the Yellow River Basin into six low-carbon economic development subregions, and analyzes their economic development The model of their economic development is analyzed.

Exploring the nexus of smart technologies and sustainable ecotourism: A systematic review.

Sustainable smart ecotourism, utilizing smart technologies like smartphones, artificial intelligence (AI), and the Internet of Things (IoT), aims to minimize harm to natural and cultural ecosystems, promoting education and environmental conservation. This review aims to examine the concept of sustainable smart ecotourism, analyzing existing literature to gain insights into the significance, components, challenges, and contributions to sustainable development on a global scale. A systematic review was conducted to evaluate sustainable smart ecotourism using PRISMA guidelines.

Symptoms of depression, perceived social support, and medical coping modes among middle-aged and elderly patients with type 2 diabetes.

To understand the prevalence of depression in diabetes population, explore the relationship between diabetes and depression, and the impact of comprehensive psychological and behavioral intervention on depression related to diabetes and glucose metabolism. 71 middle-aged and elderly patients with type 2 diabetes were investigated and evaluated with Self Rating Depression Scale (SDS), Medical Coping Scale (MCWQ) and Social Support Scale (PSSS). Patients who met the research criteria were randomly divided into an experimental group and a control group.

Psychometric evaluation of the academic involution scale for college students in China: An application of Rasch analysis.

Recent academic attention on educational involution in China underpins the need for a valid and reliable instrument to precisely measure college students' academic involution behaviors. Seeing the scarcity of a proper instrument, the current study attempted to analyze the item-level psychometric properties of the newly developed Academic Involution Scale for College Students (AISCS) in China by using a Rasch model. A total of 637 college students in a public university in northern China participated in the study.

The Dissemination Strategy of an Urban Smart Medical Tourism Image by Big Data Analysis Technology.

The advanced level of medical care is closely related to the development and popularity of a city, and it will also drive the development of tourism. The smart urban medical system based on big data analysis technology can greatly facilitate people's lives and increase the flow of people in the city, which is of great significance to the city's tourism image dissemination and branding. The medical system, with eight layers of architecture including access, medical cloud service governance, the medical cloud service resource, the platform's public service, the platform's runtime service, infrastructure, and the overall security and monitoring system of the platform, is designed based on big data analysis technology.

The need for social network analysis for the investigation of affective variables in second language acquisition.

Considering the inherent developmental nature of language learners' affective variables (e.g., their motivation, grit, foreign language enjoyment, and boredom), nuances of the development of these constructs need to be approached from a complex dynamic systems theory (CDST) perspective.