Alonso Alvarez, Borja Bordel Sánchez^*

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2935-2966, 2024, DOI:10.32604/cmc.2024.056990 - 18 November 2024

Abstract Agile Transformations are challenging processes for organizations that look to extend the benefits of Agile philosophy and methods beyond software engineering. Despite the impact of these transformations on organizations, they have not been extensively studied in academia. We conducted a study grounded in workshops and interviews with 99 participants from 30 organizations, including organizations undergoing transformations (“final organizations”) and companies supporting these processes (“consultants”). The study aims to understand the motivations, objectives, and factors driving and challenging these transformations. Over 700 responses were collected to the question and categorized into 32 objectives. The findings show More >

Lingling Li¹, Jingjing Liang¹, Shuzhen Chen^2,*

International Journal of Mental Health Promotion, Vol.26, No.10, pp. 777-790, 2024, DOI:10.32604/ijmhp.2024.056988 - 31 October 2024

Abstract Background: Online game addiction has become a serious global public health problem among adolescents. However, its influencing factors and mediating mechanisms remain ambiguous. Methods: The present study adopted stratified random sampling to collect 6146 junior high school student samples in mainland China. We used regression analysis, and Bootstrap mediation test through SPSS 26.0 and AMOS 24.0 to reveal the tendency of students’ online game addiction with different background characteristics and whether autonomy support from parents and teachers can effectively reduce online game addiction. Results: The results showed that parental (β = −0.112, p < 0.001) and… More >

Chili Li¹, Xinxin Zhao², Ziwen Pan³, Ting Yi⁴, Long Qian^5,6,*

International Journal of Mental Health Promotion, Vol.26, No.2, pp. 161-175, 2024, DOI:10.32604/ijmhp.2023.029896 - 08 March 2024

Abstract While a plethora of studies has been conducted to explore demotivation and its impact on mental health in second language (L2) education, scanty research focuses on demotivation in L2 speaking learning. Particularly, little research explores the measures to quantify L2 speaking demotivation. The present two-phase study attempts to develop and validate an English Speaking Demotivation Scale (ESDS). To this end, an independent sample of 207 Chinese tertiary learners of English as a Foreign Language (EFL) participated in the development phase, and another group of 188 Chinese EFL learners was recruited for the validation of the… More >

Ke Jia, Xiuli Liu^*

International Journal of Mental Health Promotion, Vol.25, No.12, pp. 1265-1285, 2023, DOI:10.32604/ijmhp.2023.043430 - 29 December 2023

Abstract Empathy is a complex emotional phenomenon that plays a crucial role in promoting cooperation and social cohesion within human society. However, there is ongoing debate regarding the mechanisms that underlie the generation of empathy. While the importance of biological emotional resonance in empathy is widely recognized, the influence of cognitive regulation on empathetic responses cannot be disregarded. This article seeks to review the agents and strategies involved in regulating empathy to construct a dynamic model depicting the process. The model highlights that the impact of specific goals on empathy regulation is not definitive; rather, it… More >

Paul Timileyin Kehinde¹, Olufemi Timothy Adigun^2,3,*, Gideon Kwesi Obosu⁴, Thanduxolo Peace Mngomezulu⁵

International Journal of Mental Health Promotion, Vol.25, No.6, pp. 721-734, 2023, DOI:10.32604/ijmhp.2022.027105 - 06 May 2023

Abstract This study aimed to determine the association and predictive capacities of job satisfaction, workplace stress, work motivation, and self-esteem on state of mental health of caregivers of children with disabilities in South-West Nigeria. The self-determination theory provided a theoretical framework for the study. A closed-ended paper-pencil questionnaire tagged ‘Mental Healthiness Scale for Caregivers’ was used for data collection from 241 caregivers of children with disabilities. Data collected was analyzed using descriptive of frequency count, simple percentage and mean as well as inferential statistics involving Pearson product moment correlation and Binary Logistic Regression at 95% confidence More >

Norah M. Alshahrani^1,2,*, M. L. Mat Kiah^1,*, B. B. Zaidan³, A. H. Alamoodi⁴, Abdu Saif⁵

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 2833-2858, 2023, DOI:10.32604/cmc.2023.036138 - 31 March 2023

Abstract A smart contract is a digital program of transaction protocol (rules of contract) based on the consensus architecture of blockchain. Smart contracts with Blockchain are modern technologies that have gained enormous attention in scientific and practical applications. A smart contract is the central aspect of a blockchain that facilitates blockchain as a platform outside the cryptocurrency spectrum. The development of blockchain technology, with a focus on smart contracts, has advanced significantly in recent years. However, research on the smart contract idea has weaknesses in the implementation sectors based on a decentralized network that shares an… More >

Puwen Shang¹, Jinfan Zhou^2,*, Guanglei Zhang¹

International Journal of Mental Health Promotion, Vol.25, No.1, pp. 45-62, 2023, DOI:10.32604/ijmhp.2023.026606 - 29 November 2022

Abstract Although it is becoming increasingly popular for organizations to offer programs of mind–body practices to their employees to improve their physical and mental health, the effects that after-work sessions of mind–body practices have on employees’ work behavior remain unclear. Using the model of proactive motivation and experience sampling, this study explored the relationship between employees’ mind–body practices after work and their proactive behavior in the workplace on the following day. A multilevel path analysis of data from 82 employees over seven consecutive workdays showed that employees’ mind–body practices after work had a positive effect on More >

Christopher C. Rosser, Wilbur L. Walters, Abdulghani M. Abdulghani, Mokhles M. Abdulghani, Khalid H. Abed^*

Journal on Artificial Intelligence, Vol.4, No.4, pp. 261-277, 2022, DOI:10.32604/jai.2022.039703 - 25 May 2023

Abstract Intrinsic motivation helps autonomous exploring agents traverse a larger portion of their environments. However, simulations of different learning environments in previous research show that after millions of timesteps of successful training, an intrinsically motivated agent may learn to act in ways unintended by the designer. This potential for unintended actions of autonomous exploring agents poses threats to the environment and humans if operated in the real world. We investigated this topic by using Unity’s Machine Learning Agent Toolkit (ML-Agents) implementation of the Proximal Policy Optimization (PPO) algorithm with the Intrinsic Curiosity Module (ICM) to train autonomous exploring… More >