Evaluating the influence of characteristics on the acceptance of artificial intelligence application: An empirical study.

Artificial intelligence has accelerated the application scenarios and business value of map applications. However, the sustained intention of map applications utilizing artificial intelligence technology has not received sufficient attention and scholarly investigation. Therefore, this study constructs a theoretical model of the continuance intention of map applications, based on their characteristics and combined with user satisfaction and trust, aiming to explore the influence mechanism of this continuance intention.

Optimal exercise dose and type for improving schizophrenia symptoms in adults: A systematic review and Bayesian network meta-analysis.

Background: Exercise has shown promise in aiding patients with schizophrenia, potentially improving symptoms, quality of life, mood, and cognition. This review evaluates the effectiveness of different physical activities in this context, aiming to guide treatment and research towards the most beneficial exercise interventions for schizophrenia management.

Methods: This systematic review and network meta-analysis searched PubMed, MEDLINE, Embase, PsycINFO, Cochrane CENTRAL, Web of Science, and CNKI up to March 30, 2024.

Impacts of brightness contrast, road environment complexity, travel direction and judgement type on speed perception errors among older adult pedestrians' road-crossing decision-making.

Objectives: This study aimed to explore how various factors affect older people's vehicle speed perception to enhance their road safety as pedestrians, focusing on the impact of their cognitive and perceptual abilities on road-crossing decisions.

Methods: The study evaluated the effects of brightness contrast (high, medium and low), road complexity (high and low) and vehicle travel direction (same and opposite) on speed perception errors in simulated traffic settings. It involved 38 older participants who estimated the speed of a comparison vehicle under two judgement conditions.

Team interaction behaviors correlates with team creativity among nursing students: Canonical correlation and moderation analyses.

Background: Prior studies have indicated team members' interaction behaviors may predict creativity among nursing students.

Methods: This study investigated the correlation between interaction behaviors and creativity, both individual- and team-level, among nursing students. In this cross-sectional quantitative study, data were obtained from self-reported questionnaires.

Impact of Fruit and Vegetable Enzyme Supplementation on Aerobic Performance and Lactate Response in Older Adults Following High-Intensity Interval Exercise Through Exergaming: Randomized Experimental Matched-Pair Study.

Background: Exercise offers substantial health benefits but can induce oxidative stress and inflammation, especially in high-intensity formats such as high-intensity interval exercise (HIIE). Exergaming has become an effective, enjoyable fitness tool for all ages, particularly older adults. Enzyme supplements may enhance exercise performance by improving lactate metabolism and reducing oxidative stress.

The effects of vehicle color and travel direction on perceived speed error varies by judgment type among older pedestrians.

Objective: Misjudgments of vehicle speed or distance frequently lead to collisions, particularly among older pedestrians who are less accurate in estimating vehicle speeds than younger individuals. However, comprehensive studies that assess multiple factors influencing speed perception in older pedestrians are lacking.

Methods: This research utilized computer simulations to explore how vehicle color (red, green, blue) and direction of travel (approaching or receding) affect perceived speed errors in both relative and absolute judgment scenarios among older pedestrians.

A hierarchical model of accelerating factors to promote urban renewal and reconstruction of unsafe and old buildings.

The issue of urban renewal is complex and multifaceted. In this study, six specialists in the construction industry were invited to conduct audio interviews, which were compiled into verbatim text. The key phrases were extracted by Grounded theory, and three levels of coding were retrieved.

Exploring the Design of Upper Limb Strength Training Through High-Intensity Interval Training Combined With Exergaming: Usability Study.

Background: High-intensity interval training (HIIT) has become a popular exercise strategy in modern society, with the Tabata training method being the most popular. In the past, these training methods were mostly done without equipment, but incorporating exergaming into the training may provide a new option for muscle training.

Objectives: The aim of this study was to explore the differences in upper limb muscle activation using an HIIT program combined with exergaming.

Empowering teachers through principals' emotional intelligence: Unlocking the potential of organizational citizenship behavior in Taiwan's elementary schools.

The organizational citizenship behavior (OCB) of teachers is crucial for effective school functioning, and accessing valuable resources from principals greatly influences this behavior. Grounded in the conservation of resources (COR) theory, this study explored how a principal's emotional intelligence (EI) and teachers' organizational trust (OT) impact teachers' OCB. A survey was conducted on 521 elementary teachers in Taiwan using established scales to measure the constructs.

Acute effects of muscle mechanical properties after 2000-m rowing in young male rowers.

Background: The mechanical properties of muscles, such as changes in muscle tone and stiffness, are related to sports performance and injuries. Rowers are at increased risk of muscle fatigue and injury during high-repetition and heavy-load cyclic muscle actions. In view of this, the aim of the present study was to investigate the acute effect on muscle tone and stiffness, as well as bilateral muscle asymmetry, in high school rowers after a 2000-meter rowing ergometer test.

Lower Repetition Induces Similar Postactivation Performance Enhancement to Repetition Maximum After a Single Set of Heavy-Resistance Exercise.

Chen, C-F, Chuang, C-Y, Wang, C-C, Liu, S-A, Chang, H-W, and Chan, K-H. Lower repetition induces similar postactivation performance enhancement to repetition maximum after a single set of heavy-resistance exercise. J Strength Cond Res 38(5): 848-855, 2024-The study was divided into 2 parts to investigate the acute postactivation performance enhancement (PAPE) responses to lower repetitions at the same load of 87% 1 repetition maximum (1RM) in the upper and lower body.

Schoolchildren's motivation for viewing Chinese opera animation according to opera genre.

The emergence of Chinese opera animation allows a wider audience, especially a younger audience, to access and embrace the art of opera heritage. This study used a two-way mixed-design ANOVA to explore the effect of Chinese opera animation on schoolchildren's viewing motivation; the independent variables were the children's grade level and the opera genre of the animation. Grade level was divided into three groups: lower, middle, and upper (grades 2, 4, and 6, respectively).

Personalized Medical Terminology Learning Game: Guess the Term.

Wordbot, a chatbot designed for gamified education, transforms the process of memorizing complex medical terminology into an engaging and enjoyable activity for medical students. Taking inspiration from the "guessing words" game, Wordbot aims to improve medical students' learning outcomes by making the vocabulary memorization process more memorable. Wordbot, which can be implemented on the LINE platform, was created for this research, specifically to improve medical terminology learning.

Extending the Omega model with momentum and reversal strategies to intraday trading.

This study develops the Omega model integrated with momentum and reversal strategies using high-frequency data on the component stocks of the S&P 500 Index and the NASDAQ 100. The Omega model based on the momentum strategy (M_Omega), the reversal strategy (R_Omega), and both strategies (M_R_Omega) are designed to simulate trading over three periods. The portfolio is rebalanced every transaction day to optimize asset allocation by incorporating intraday winners or losers' information and trading cost.

Identifying 5 Mutation in Aldosterone-Producing Adenoma Patients With Baseline Characteristics Using Machine Learning Technology.

Background: Primary aldosteronism is characterized by inappropriate aldosterone production, and unilateral aldosterone-producing adenoma (uPA) is a common type of PA. 5 mutation is a protective factor in uPA; however, there is no preoperative approach to detect 5 mutation in patients with uPA.

Objectives: This study aimed to provide a personalized surgical recommendation that enables more confidence in advising patients to pursue surgical treatment.

Evaluation of smart long-term care information strategy portfolio decision model: the national healthcare environment in Taiwan.

A globally aging population results in the long-term care of people with chronic illnesses, affecting the living quality of the elderly. Integrating smart technology and long-term care services will enhance and maximize healthcare quality, while planning a smart long-term care information strategy could satisfy the variety of care demands regarding hospitals, home-care institutions, and communities. The evaluation of a smart long-term care information strategy is necessary to develop smart long-term care technology.

Experiences of Female Nurses' Parental Leave in Taiwan: A Qualitative Study.

(1) Background: To counteract the recent severe decline in birthrates in Taiwan, a number of child welfare policies are being promoted. Parental leave is among the most discussed policies in recent years. Nurses are healthcare providers, but their own right to healthcare has not been well investigated and should receive more attention.

The lens of Yin-Yang philosophy: the influence of paradoxical leadership and emotional intelligence on nurses' organizational identification and turnover intention.

Purpose: This study aims to use "both-and" thinking of Yin-Yang philosophy to extend the field of leadership literatures and explore the influences of paradoxical leadership and emotional intelligence on organizational identification and turnover intentions of nurses.

Design/methodology/approach: The authors adopted a cross-sectional survey completed by 285 nurses in Taiwan. SPSS 22, PROCESS and AMOS 21 were used for data analysis.

Invisible Erosion of Human Capital: The Impact of Emotional Blackmail and Emotional Intelligence on Nurses' Job Satisfaction and Turnover Intention.

Emotion is a compelling factor in the retention and job satisfaction of professionals, and the impacts of emotional feelings and reactions have become an indispensable issue in the nursing workforce. Drawing on the cognitive theory of emotions, this study bridges the research gap to investigate the relationships among emotional blackmail, emotional intelligence, job satisfaction, and turnover intentions of nurses. A cross-sectional design was used to collect data from a sample of 374 full-time nurses in Northern Taiwan.

Understanding the adoption of the mask-supply information platforms during the COVID-19.

Since late 2019, coronavirus disease 2019 (COVID-19) has led to a significant increase in the demand for medical resources. To publish data on face mask supplies, the Taiwanese government collaborated with program developers to construct a mask-supply information transitional platform (MITP). To comprehend the adoption of MITP, the study proposes a research model that integrates the health behavior model (HBM) and IS/IT continuance model for examining the factors affecting intention to use an MITP.

A diagnosis model of dementia machine learning.

As the aging population poses serious challenges to families and societies, the issue of dementia has also received increasing attention. Dementia detection often requires a series of complex tests and lengthy questionnaires, which are time-consuming. In order to solve this problem, this article aims at the diagnosis method of questionnaire survey, hoping to establish a diagnosis model to help doctors make a diagnosis through machine learning method, and use feature selection method to select important questions to reduce the number of questions in the questionnaire, so as to reduce medical and time costs.

Effects of animated pedagogical agent-guided loving-kindness meditation on flight attendants' spirituality, mindfulness, subjective wellbeing, and social presence.

Loving-kindness meditation (LKM) was first practiced by Buddhists and then developed by clinical psychologist. Previous studies on LKM have mainly focused on the impact of real person-guided meditation on depression, anxiety, and other negative psychology. During the COVID-19 pandemic, this study explored the effect and mechanism of media-guided LKM on the improvement of social presence, mindfulness, spirituality, and subjective wellbeing (SWB).

Adaptive Aggregate Stereo Matching Network with Depth Map Super-Resolution.

In order to avoid the direct depth reconstruction of the original image pair and improve the accuracy of the results, we proposed a coarse-to-fine stereo matching network combining multi-level residual optimization and depth map super-resolution (ASR-Net). First, we used the u-net feature extractor to obtain the multi-scale feature pair. Second, we reconstructed global disparity in the lowest resolution.