Ana María Peco Chacón, Isaac Segovia Ramírez, Fausto Pedro García Márquez^*

Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 2595-2608, 2023, DOI:10.32604/iasc.2023.037277

Abstract Maintenance operations have a critical influence on power generation by wind turbines (WT). Advanced algorithms must analyze large volume of data from condition monitoring systems (CMS) to determine the actual working conditions and avoid false alarms. This paper proposes different support vector machine (SVM) algorithms for the prediction and detection of false alarms. K-Fold cross-validation (CV) is applied to evaluate the classification reliability of these algorithms. Supervisory Control and Data Acquisition (SCADA) data from an operating WT are applied to test the proposed approach. The results from the quadratic SVM showed an accuracy rate of 98.6%. Misclassifications from the confusion… More >

Xin Wang^1,*, H. Fan¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09986

Abstract Precipitates play an important role in the evolution of irradiation-induced defects and mechanical property of irradiated metals. In this work, the effects of a Zr2Cu precipitate on the production and subsequent evolution of cascade-induced point defects (vacancies and interstitials) in ZrCu alloy were investigated by molecular dynamics simulations at room temperature. The simulation results show that the precipitate increases the number of residual point defects at the end of cascade. However, most of the residual defects reside in the precipitate and near precipitate boundary. In the matrix, more interstitials survive than vacancies. In addition, a defect-free region is seen in… More >

WAYEZ NAQVI, ANANYA SINGH, PREKSHI GARG, PRACHI SRIVASTAVA^*

BIOCELL, Vol.47, No.8, pp. 1675-1687, 2023, DOI:10.32604/biocell.2023.029624

Abstract Biological entities are involved in complicated and complex connections; hence, discovering biological information using network biology ideas is critical. In the past few years, network biology has emerged as an integrative and systems-level approach for understanding and interpreting these complex interactions. Biological network analysis is one method for reducing enormous data sets to clinically useful knowledge for disease diagnosis, prognosis, and treatment. The network of biological entities can help us predict drug targets for several diseases. The drug targets identified through the systems biology approach help in targeting the essential biological pathways that contribute to the progression and development of… More >

Mohammed Al Jaffal^*

International Journal of Mental Health Promotion, Vol.25, No.8, pp. 881-890, 2023, DOI:10.32604/ijmhp.2023.028982

Abstract Many individuals with autism spectrum disorder (ASD) experience delays in the development of social and communications skills, which can limit their opportunities in higher education and employment resulting in an overall negative impact to their quality of life. This systematic review identifies 15 studies that explored the effectiveness of Video-Based Interventions (VBIs) for those with ASD during the critical years of adolescence and young adulthood. The 15 studies described herein found this to be an effective intervention for this population for the improvement of their vocational, daily living, and academic skills. In addition, VBIs allow for the maintenance and generalization… More >

Wenxin Chen^1,#, Jie Wu^1,2,#, Long Li^3,*, Shiyong Wu^4,*

International Journal of Mental Health Promotion, Vol.25, No.8, pp. 949-959, 2023, DOI:10.32604/ijmhp.2023.030072

Abstract Background: University students’ ego-identity, an essential component of their psychological development and mental health, has widely attracted the attention of policymakers, schools, and parents. Method: A total of 298 Chinese vocational pathway undergraduates were recruited, and a conditional process analysis model was adopted to explore the interaction mechanism of ego-identity. Results: The results suggest that the ego-identity of Chinese vocational pathway undergraduates is significantly affected by interaction anxiousness, academic resilience, and cultural intelligence. (1) Interaction anxiousness significantly and positively predicts ego-identity. (2) Academic resilience positively and partially mediates the effect of interaction anxiousness on ego-identity. (3) Cultural intelligence significantly and… More >

M. Cuniah, G. Bréchon, N. Bailly

Psycho-Oncologie, Vol.17, No.2, pp. 71-78, 2023, DOI:10.3166/pson-2022-0232

Abstract La composante spirituelle caractérise l’un des socles majeurs sur lesquels repose la pratique des soins palliatifs. Or, dans le contexte français, cette composante reste peu explorée du point de vue des patients. Cette étude a pour objectif d’explorer la dimension spirituelle et la place de l’accompagnement spirituel chez des patients dans le cadre d’une maladie incurable. À cette fin, des entretiens semidirectifs ont été menés auprès de 10 patients en soins palliatifs. Une analyse de contenu thématique a été réalisée. Les résultats montrent que la spiritualité est une question complexe, généralement définie comme une recherche de sens. Les besoins spirituels… More >

ZHENGHONG FENG¹, BING GAO¹, YU GAO², JIANHUI WU^1,*

BIOCELL, Vol.47, No.7, pp. 1571-1582, 2023, DOI:10.32604/biocell.2023.029106

Abstract Background:Potentilla sericea is a heavy metal hyperaccumulator landscaping plant. MYB transcription factors play an important role in regulating plant stress response to adversity. However, there are few studies on MYB transcription factors in stress tolerance in Potentilla sericea. In this study, the gene was successfully cloned from Potentilla sericea. Methods: Bioinformatic analysis and real-time quantitative PCR (qPCR) methods were used to evaluate this gene. The transgenic A. thaliana were obtained by flower dipping and the gene function was identified by determining physiological indicators under cadmium stress. Results: The open reading frame of is 942 bp, which encodes 313 amino acids… More >

R. Vanalakshmi¹, S. Maragathasundari^1,*, M. Kameswari¹, B. Balamurugan², C. Swedheetha³

Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1399-1419, 2023, DOI:10.32604/iasc.2023.038506

Abstract Queuing models are used to assess the functionality and aesthetics of SCADA systems for supervisory control and data collection. Here, the main emphasis is on how the queuing theory can be used in the system’s design and analysis. The analysis’s findings indicate that by using queuing models, cost-performance ratios close to the ideal might be attained. This article discusses a novel methodology for evaluating the service-oriented survivability of SCADA systems. In order to evaluate the state of service performance and the system’s overall resilience, the framework applies queuing theory to an analytical model. As a result, the SCADA process is… More >

Tawfeeq Shawly¹, Ahmed A. Alsheikhy^2,*

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 731-751, 2023, DOI:10.32604/cmc.2023.039433

Abstract More than 500,000 patients are diagnosed with breast cancer annually. Authorities worldwide reported a death rate of 11.6% in 2018. Breast tumors are considered a fatal disease and primarily affect middle-aged women. Various approaches to identify and classify the disease using different technologies, such as deep learning and image segmentation, have been developed. Some of these methods reach 99% accuracy. However, boosting accuracy remains highly important as patients’ lives depend on early diagnosis and specified treatment plans. This paper presents a fully computerized method to detect and categorize tumor masses in the breast using two deep-learning models and a classifier… More >

Pengda Li, Chao Xu, Zhirong Liao^* , Xing Ju, Feng Ye

Frontiers in Heat and Mass Transfer, Vol.15, pp. 1-10, 2020, DOI:10.5098/hmt.15.10

Abstract This study numerically investigates the charging and discharging processes of a three-stages cascaded latent heat thermal energy storage unit using three molten salts as the phase change materials (PCMs). Each stage of the unit is a vertical shell-and-tube heat exchanger, whose shell side is filled with the PCM and air. The liquid fractions, temperatures, and accumulated thermal energy of the PCMs during the fully charging and discharging processes, as well as the effects of the HTF inlet temperature, are analyzed. The results show that lower melting temperature of the PCM causes faster charging rate and more released heat in the… More >