Analysis of clinical characteristics and laboratory examination data of 112 cases of Mycoplasma pneumoniae pneumonia in children.

The aim of this study was to analyze the clinical characteristics of Mycoplasma pneumoniae (MP) infection in children and provide a basis for the diagnosis and treatment of MP and refractory Mycoplasma pneumoniae pneumonia (MPP) in children. A total of 112 children with MPP admitted to Luoyang Maternal and Child Health Hospital between January 31, 2023 and December 31, 2023 were studied, and their clinical characteristics were retrospectively analyzed, including children's general data, clinical symptoms, imaging changes, bronchoscopy, and laboratory data, including inflammatory factors such as C-reactive protein (CRP), procalcitonin (PCT), interleukin-6 (IL-6), bacterial culture results of bronchoalveolar lavage or sputum, and results of MP culture and detection of MP drug resistance gene loci 23sRNA A2063G and A2064G. Among the 112 children with MPP included in the analysis, 48 were males (42.

Business environment and its impact on high-quality economic development: A configurational analysis of enhancement pathways.

The nexus between the business environment and high-quality economic development is pivotal for fostering sustainable growth. This study delves into their interrelationship, recognizing its profound practical significance. We have developed a comprehensive index system to evaluate high-quality economic development, encompassing four key dimensions: green development quality, robust economic growth, innovation dynamics, and equitable societal benefits.

AI-Driven Management of Type 2 Diabetes in China: Opportunities and Challenges.

With the aging of China's population and lifestyle changes, the number of patients with type 2 diabetes (T2D) has surged, posing a significant challenge to the public health system. This study explores the application and effectiveness of artificial intelligence (AI) technology in T2D management from a Chinese perspective. AI demonstrates substantial potential in personalized treatment planning, real-time monitoring and early warning, telemedicine, and health management.

Longitudinal relations among online social activities, peer relationship problems, and well-being in children: The moderating effect of extraversion.

Prior research has predominantly examined the relations between online social activities (OSA) and mental health among adolescents and adults, with comparatively less emphasis placed on children, particularly concerning positive indicators of subjective health, such as well-being. The relations between OSA and well-being are likely intricate and necessitate meticulously designed methodologies to investigate the associations and their underlying mechanisms. This longitudinal study employed the random intercept cross-lagged panel models to explore the dynamic relations between OSA and well-being, considering peer relationship problems as a potential mediator and extraversion as a moderator of the associations, while distinguishing between- and within-person effects.

Bidirectional associations between insomnia symptoms and eating disorders: A two-wave longitudinal study among Chinese college students.

Previous literature suggests a link between insomnia symptoms and eating disorders (EDs), yet empirical data on the temporal associations between these two variables are lacking. This study aimed to explore the bidirectional associations between insomnia symptoms and EDs in a population of college students. A total of 11,010 college students were assessed initially from October 17 to 29, 2023, and again 6 months later from April 15 to 24, 2024.

Factors influencing parents' educational anxiety of primary and secondary school students: evidence from parents in China.

Background: Current research has focused on exploring the sources of parents' anxiety about children's education (PAE), and we continue in this direction by exploring the factors influencing parental educational anxiety in primary and secondary school students and the interactions among them.

Methods: Parental Educational Anxiety Measurement Questionnaire was used to measure the level of PEA. Pearson correlation coefficient analysis was used to examine the correlation between the level of PAE and the demographic variables.

Exploring Chinese Millennials' Minimalist Consumption Behavior in the Context of Global Economic Downturn: A PLS-SEM Analysis Based on Symbolic and Simulacrum Consumption Perception.

In the context of a global economic downturn, Millennials-who represent the emerging primary consumer demographic-are increasingly adopting a minimalist consumption model. To understand this phenomenon, this study employed a partial least squares structural equation modeling (PLS-SEM) analysis of 554 survey responses from Chinese Millennials. Building on the Theory of Reasoned Action, we explored the effects of consumption orientation, perceived economic pressure, self-expression, and perceived consumption risk on symbolic and simulacrum consumption perceptions.

Self-Compassion and Psychological Flourishing Among College Students: The Mediating Role of Hope and the Moderating Role of Emotion Regulation.

College students face pressure from various aspects such as academics, employment, and interpersonal relationships, and their mental health is receiving increasing attention. This study used a cross-sectional, descriptive correlational design to recruit 842 college students to explore the relationship between self-compassion and psychological flourishing and the underlying psychological mechanisms. With gender added as a control variable, the results showed the following: (1) self-compassion had a positive predictive effect on psychological flourishing in college students; (2) hope partially mediated the predictive effect of self-compassion on psychological flourishing in college students; (3) the first half path of the mediation model was moderated by emotion regulation.

Immune-related thyroid dysfunction as a positive prognostic factor for patients with lung cancer in China: a real-world retrospective study.

Introduction: The relationship between immune-related thyroid dysfunction (irTD) and survival rates in cancer patients remains unclear. Furthermore, the impact of variations in immunotherapy line numbers and pathological types among lung cancer patients on this relationship has not been fully elucidated. This study aims to evaluate the potential of irTD as a prognostic marker for immunotherapy in Chinese patients with lung cancer.

Health behavior and medical insurance under the healthy China strategy: a moral hazard perspective.

Introduction: High medical expenditure is one of the major obstacles to achieving common prosperity in China. As a health risk compensation and protection mechanism, medical insurance has played a good role in alleviating the economic burden of patients. However, due to the existence of moral hazard, medical insurance may also lead to the occurrence of psychological deviation and overtreatment of patients or hospitals' health treatment expectations, thus generating unnecessary pressure on public financial expenditure.

Neural oscillations predict flow experience.

Flow experience, characterized by immersion in the activity at hand, provides a motivational boost and promotes positive behaviors. However, the oscillatory representations of flow experience are still poorly understood. In this study, the difficulty of the video game was adjusted to manipulate the individual's personalized flow or non-flow state, and EEG data was recorded throughout.

An exploration of the influencing factors of privacy fatigue among mobile social media users from the configuration perspective.

Privacy fatigue caused by privacy data disclose and the complexity of privacy control has become an important factor influencing people's privacy decision-making behavior. At present, academia mainly studies privacy fatigue as a key determinant to explain the privacy paradox problem, but there is insufficient attention to its influencing factors and specific pathway of occurrence. Exploring the antecedents of privacy fatigue is of great significance for alleviating users' subjective privacy detachment and promoting privacy protection.

Optimizing concrete crack detection an echo state network approach with improved fish migration optimization.

There are numerous reasons for concrete buildings cracks, like stress loads, material flaws, and environmental impacts. It is important to find and investigate the concrete cracks during analyzing the safety and structural soundness of buildings, bridges, and other infrastructure. However, there are many models available for concrete crack detection, an efficient approach is needed because the existing methods often have flaws like overfitting, high computational complexity, and noise sensitivity, which can lead to accurate crack detection and classification.

Public health perspectives on green efficiency through smart cities, artificial intelligence for healthcare and low carbon building materials.

Introduction: Smart cities, artificial intelligence (AI) in healthcare, and low-carbon building materials are pivotal to public health, environmental sustainability, and green efficiency. Despite their critical importance, understanding public perceptions and attitudes toward these domains remains underexplored. Additionally, the effective use of advanced technologies like convolutional neural networks (CNN) in predicting and promoting low-carbon solutions in construction is gaining attention.

Accelerated Neurocomputation in Human Decision-Making Under Time Pressure.

It is common to make risky decisions under time pressure. However, there are ongoing debates regarding the interpretation of the intrinsic mechanisms through which time pressure influences risky decision-making. The current study, combining a sequential risk-taking task, behavioral modeling, and time-resolved multivariate pattern analysis on electroencephalography signals, explored the intrinsic mechanisms underlying the influence of time pressure on risky decision-making.

The impact of housework participation on prosocial behavior development among junior high school students in China.

This study examines the effect of housework participation on the development of prosocial behaviors among students in China. Using data from the China Education Panel Survey, a nationally representative survey of 8678 students at 221 classes in 28 counties, we employed two identification strategies (i.e.

Conceptual understanding and cognitive patterns construction for physical education teaching based on deep learning algorithms.

To improve students' understanding of physical education teaching concepts and help teachers analyze students' cognitive patterns, the study proposes an association learning-based method for understanding physical education teaching concepts using deep learning algorithms, which extracts image features related to teaching concepts using convolutional neural networks. Moreover, a neurocognitive diagnostic model based on hypergraph convolution is constructed to mine the data of students' long-term learning sequences and identify students' cognitive outcomes. The findings revealed that the highest accuracy of the association graph convolutional neural network was 0.

Examining the impact of globalization and natural resources on environmental sustainability in G20 countries.

The G20 countries are responsible for around 75% of the world's greenhouse gas (GHG) emissions, including the use of natural resources. In this regard, the role of globalization in achieving environmental sustainability is a relatively new topic of concern. As a result, the present study considers how globalization and natural resources affect GHG emissions, as well as the roles that renewable energy consumption and urbanization play in the G20 countries between 1990 and 2020.

Impacts of different interactive elements on consumers' purchase intention in live streaming e-commerce.

Live streaming e-commerce (LSE) has gained tremendous popularity as an innovative social commerce platform that integrates real-time interactions among customers, streamers, and operators to promote product sales. However, there is still much to be discovered about the factors that determine the success of LSE. The objective of this study is to examine the effects of diverse interactive elements, namely consumer-streamer, consumer-platform, and consumer-consumer interactions, on consumers' purchase intention from the perspectives of social presence and trust using the SOR theory.

The impact of the development level of rural e-commerce on the depressive symptoms among rural older adult individuals.

Background: In the context of China, where the demographic trend of population aging intertwines with the rapid advancement of information digitalization, rural older adult individuals, who are part of a vulnerable population, are witnessing a deteriorating depression status. The proliferation of rural e-commerce, which fuels the digital economic revolution in rural areas, is concurrently affecting the depressive symptoms among rural older adult individuals.

Methods: This study uses longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS) and applies a multi-period Difference-in-Differences (DID) model to explore how rural e-commerce affects the depressive symptoms among rural older adult individuals.

Anxiety about artificial intelligence from patient and doctor-physician.

Objective: This paper investigates the anxiety surrounding the integration of artificial intelligence (AI) in doctor-patient interactions, analyzing the perspectives of both patients and healthcare providers to identify key concerns and potential solutions.

Methods: The study employs a comprehensive literature review, examining existing research on AI in healthcare, and synthesizes findings from various surveys and studies that explore the attitudes of patients and doctors towards AI applications in medical settings.

Results: The analysis reveals that patient anxiety encompasses algorithm aversion, robophobia, lack of humanistic care, challenges in human-machine interaction, and concerns about AI's universal applicability.

Resilience and emotional intelligence as mediators between personal values and life satisfaction among Chinese young adults.

Background: Young adults are in the period of the formation and establishment of values. Even though previous research has revealed that personal values are important factors influencing young adults' life satisfaction, it is still unknown when and under what circumstances values affect life satisfaction among young adults. Therefore, this study explored the relationship between personal values and life satisfaction among Chinese young adults, focusing on the mediating roles of resilience and emotional intelligence.

Gender differences in self-rated health among older adults in the Chinese workforce.

Introduction: This study investigates gender-based disparities in self-rated health among older individuals in the Chinese workforce, utilizing data from the China Health and Retirement Longitudinal Study (CHARLS). Understanding these health gaps is crucial for crafting effective health policies and interventions in light of the rapidly aging population.

Materials And Methods: Data from the 2020 CHARLS survey, comprising Chinese individuals aged 45 and above, were analyzed, focusing on older adults actively employed.

Network pharmacology unveils the active components and potential mechanism of traditional efficacy of Mugua.

Mugua is a Chinese herbal medicine derived from the dried mature fruit of Chaenomeles speciosa (Sweet) Nakai. This study aimed to dissect the active ingredients and mechanism of Mugua. In the present study, the active components of Mugua were collected and screened through databases combined with UPLC-Q/TOF-MS based qualitative analysis and literature mining, and their potential disease targets were predicted.

Analysis of contemporary value and influence of intangible cultural heritage based on online review mining.

Purpose: The development of new media has enabled intangible cultural heritage to be disseminated through online platforms and attracted the attention of many contemporary young people. Classification and discussion on the value of intangible cultural heritage is an important way to help the inheritance and dissemination.

Design/methodology/approach: Real online reviews were collected based on the Bilibili website as the research data source.