Haiyan Hu, Shuanghu Fang^*, Qilin Zheng, Dongyan Ding

International Journal of Mental Health Promotion, Vol.27, No.1, pp. 65-76, 2025, DOI:10.32604/ijmhp.2024.059324 - 31 January 2025

Abstract Objectives: This study aimed to assess the reliability and validity of the abbreviated Committed Action Questionnaire (CAQ-8) in a cohort of 1635 Chinese university students. Methods: Participants completed the Chinese version of the CAQ-8 along with other standardized measures, including the Acceptance and Action Questionnaire-II (AAQ-II), the Valuing Questionnaire (VQ), the Satisfaction with Life Scale (SWLS), the Depression Anxiety Stress Scales (DASS-21), and the World Health Organization Five-item Well-Being Index (WHO-5). A retest was conducted one month later with 300 valid responses. Results: Exploratory factor analysis (n = 818) identified a 2-factor structure, confirmed through validated… More >

Peichao Xie^1,#, Kexu Chen^1,#, Yuxuan Ji¹, Qi Wang¹, Kaiyun Li^1,*, Fanlu Jia¹, Ting Peng²

International Journal of Mental Health Promotion, Vol.26, No.11, pp. 887-895, 2024, DOI:10.32604/ijmhp.2024.056305 - 28 November 2024

Abstract Background: Coping self-efficacy can help individuals mitigate the adverse emotional impacts of stress, anxiety, and other negative emotions, and it also influences individuals’ academic performance, including school adjustment and academic burnout. It is an important factor affecting the mental health of adolescents. However, there is no measurement tool specifically designed for adolescent populations in China. Therefore, the purpose of this study is to assess the applicability of the Coping Self-Efficacy Scale (CSES) among Chinese adolescents. Methods: In September 2023, this study collected data through online questionnaires and ultimately conducted item analysis, exploratory factor analysis, confirmatory… More >

Suneel Kumar Rath¹, Madhusmita Sahu¹, Shom Prasad Das², Junali Jasmine Jena³, Chitralekha Jena⁴, Baseem Khan^5,6,7,*, Ahmed Ali⁷, Pitshou Bokoro⁷

Computer Systems Science and Engineering, Vol.48, No.6, pp. 1513-1536, 2024, DOI:10.32604/csse.2024.057067 - 22 November 2024

Abstract Redundancy, correlation, feature irrelevance, and missing samples are just a few problems that make it difficult to analyze software defect data. Additionally, it might be challenging to maintain an even distribution of data relating to both defective and non-defective software. The latter software class’s data are predominately present in the dataset in the majority of experimental situations. The objective of this review study is to demonstrate the effectiveness of combining ensemble learning and feature selection in improving the performance of defect classification. Besides the successful feature selection approach, a novel variant of the ensemble learning… More >

Gajjala Savithri^1,2, N. Raghavendra Sai^1,*

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2547-2569, 2024, DOI:10.32604/cmc.2024.055827 - 18 November 2024

Abstract In the world of wireless sensor networks (WSNs), optimizing performance and extending network lifetime are critical goals. In this paper, we propose a new model called DTLR-Net (Deep Temporal LSTM Regression Network) that employs long-short-term memory and is effective for long-term dependencies. Mobile sinks can move in arbitrary patterns, so the model employs long short-term memory (LSTM) networks to handle such movements. The parameters were initialized iteratively, and each node updated its position, mobility level, and other important metrics at each turn, with key measurements including active or inactive node ratio, energy consumption per cycle,… More >

Muhammad Azhar Ali Khan¹, Syed Sohail Akhtar^2,3,*, Abba A. Abubakar^2,4, Muhammad Asad¹, Khaled S. Al-Athel^2,5

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2325-2350, 2024, DOI:10.32604/cmes.2024.054741 - 31 October 2024

Abstract The fatigue life and reliability of wrought carbon steel castings produced with an optimized mold design are predicted using a finite element method integrated with reliability calculations. The optimization of the mold is carried out using MAGMASoft mainly based on porosity reduction as a response. After validating the initial mold design with experimental data, a spring flap, a common component of an automotive suspension system is designed and optimized followed by fatigue life prediction based on simulation using Fe-safe. By taking into consideration the variation in both stress and strength, the stress-strength model is used… More >

Xinxin Yue¹, Jian Zhang^2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.4, pp. 1-2, 2024, DOI:10.32604/icces.2024.011344

Abstract The "curse of dimensionality" faced by high-dimensional complex engineering problems can be tackled by a set of quantitative model evaluation and analysis tools named high-dimensional model representation (HDMR) [1,2], which has attracted much attention from researchers in various fields, such as global sensitivity analysis (GSA) [3], structural reliability analysis (SRA) [4], CFD uncertainty quantification [5] and so on [6]. In this paper, a new method for uncertainty quantification is proposed. Firstly, PCE-HDMR for SRA is developed by taking advantage of the accuracy and efficiency of PCE-HDMR for modeling high-dimensional problems [7]. Secondly, the formulas for… More >

Debiao Meng^1,*, Abílio Manuel Pinho de Jesus², Zeng Meng³

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 1-5, 2024, DOI:10.32604/cmes.2024.056319 - 20 August 2024

Abstract This article has no abstract. More >

Peicong He, Yang Xin^*, Yixian Yang

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 3067-3084, 2024, DOI:10.32604/cmc.2024.054777 - 15 August 2024

Abstract The proliferation of intelligent, connected Internet of Things (IoT) devices facilitates data collection. However, task workers may be reluctant to participate in data collection due to privacy concerns, and task requesters may be concerned about the validity of the collected data. Hence, it is vital to evaluate the quality of the data collected by the task workers while protecting privacy in spatial crowdsourcing (SC) data collection tasks with IoT. To this end, this paper proposes a privacy-preserving data reliability evaluation for SC in IoT, named PARE. First, we design a data uploading format using blockchain More >

Risalina Myrtha^1,2,*, Hasanah Mumpuni^3,4, Real Kusumanjaya Marsam^3,4, Dyah Wulan Anggrahini^3,4, Anggoro Budi Hartopo^3,4, Lucia Kris Dinarti^3,4

Congenital Heart Disease, Vol.19, No.3, pp. 315-324, 2024, DOI:10.32604/chd.2024.051587 - 26 July 2024

Abstract Background and Objective: The most feared complication of uncorrected secundum Atrial Septal Defect (ASD) is pulmonary arterial hypertension (PAH). Pulmonary vascular resistance (PVR) is crucial in detecting precapillary pulmonary hypertension (PH) to guide the need for PAH-specific therapy. There is a change in the cut-off value of PVR according to the recently updated PH guideline. How echocardiographic PVR (PVR) correlates to PVR by right heart catheterization (RHC) (PVR) according to the new guidelines has not been known. The aim of this study is to determine the reliability of PVR in detecting PAH in Uncorrected Ostium… More > Graphic Abstract

Yang Li¹, Zikang Zheng^1,*, Jiangkun Zhang²

Structural Durability & Health Monitoring, Vol.18, No.4, pp. 425-444, 2024, DOI:10.32604/sdhm.2024.046584 - 05 June 2024

Abstract Due to the lack of a quantitative basis for the inspection, evaluation, and identification of existing transmission tower foundations, a new fuzzy comprehensive evaluation method is proposed to assess the reliability of transmission tower foundation bearing capacity. This method is based on the reliability analysis of the transmission tower foundation bearing capacity by analyzing the sensitivity of degradation of detection indexes on the reliability of transmission tower foundation bearing capacity, the weighting coefficient matrix is established about the influencing factors in the evaluation model. Through the correlation analysis between the bearing capacity degradation of the More > Graphic Abstract