Xiaohui Ye^1,*, Fucheng Tan¹, Xinli Song², Hanyang Dai², Xia Li², Shixia Mu², Shaohang Hao²

Energy Engineering, Vol.121, No.12, pp. 3689-3710, 2024, DOI:10.32604/ee.2024.055200 - 22 November 2024

Abstract Energy storage batteries can smooth the volatility of renewable energy sources. The operating conditions during power grid integration of renewable energy can affect the performance and failure risk of battery energy storage system (BESS). However, the current modeling of grid-connected BESS is overly simplistic, typically only considering state of charge (SOC) and power constraints. Detailed lithium (Li)-ion battery cell models are computationally intensive and impractical for real-time applications and may not be suitable for power grid operating conditions. Additionally, there is a lack of real-time batteries risk assessment frameworks. To address these issues, in this… More >

Mohammed Amin Almaiah^1,*, Leen Mohammad Saqr¹, Leen Ahmad Al-Rawwash¹, Layan Ahmed Altellawi¹, Romel Al-Ali^2,*, Omar Almomani³

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3189-3220, 2024, DOI:10.32604/cmc.2024.057673 - 18 November 2024

Abstract Database systems have consistently been prime targets for cyber-attacks and threats due to the critical nature of the data they store. Despite the increasing reliance on database management systems, this field continues to face numerous cyber-attacks. Database management systems serve as the foundation of any information system or application. Any cyber-attack can result in significant damage to the database system and loss of sensitive data. Consequently, cyber risk classifications and assessments play a crucial role in risk management and establish an essential framework for identifying and responding to cyber threats. Risk assessment aids in understanding… More >

Yuanyuan Hao¹, Dongye Lyu², Siyu Zhang¹, Bin Guo^3,*, Jin Yan^4,*

International Journal of Mental Health Promotion, Vol.26, No.10, pp. 865-873, 2024, DOI:10.32604/ijmhp.2024.055231 - 31 October 2024

Abstract Background: Youth emerge as an essential period in forming lifelong health and well-being. During adolescence, physical activity (PA) improves cardiovascular health, fitness levels, and the prevention of chronic illnesses, and the positive effect is also extended to the mental realm, as PA reduces symptoms of anxiety and depression. Therefore, the current study aims to enhance our understanding of the correlation between sports participation and depressive symptoms. Additionally, it seeks to explore how demographics such as gender, age, and race can shape these connections. Methods: The research sample was established by utilising the U.S. Youth Risk… More >

Rabia Javed¹, Tanzila Saba², Tahani Jaser Alahmadi^3,*, Sarah Al-Otaibi⁴, Bayan AlGhofaily², Amjad Rehman²

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 809-825, 2024, DOI:10.32604/cmc.2024.052755 - 15 October 2024

Abstract Cancer poses a significant threat due to its aggressive nature, potential for widespread metastasis, and inherent heterogeneity, which often leads to resistance to chemotherapy. Lung cancer ranks among the most prevalent forms of cancer worldwide, affecting individuals of all genders. Timely and accurate lung cancer detection is critical for improving cancer patients’ treatment outcomes and survival rates. Screening examinations for lung cancer detection, however, frequently fall short of detecting small polyps and cancers. To address these limitations, computer-aided techniques for lung cancer detection prove to be invaluable resources for both healthcare practitioners and patients alike.… More >

Grace Gau¹, Minerva Singh^2,3,*

Revue Internationale de Géomatique, Vol.33, pp. 427-443, 2024, DOI:10.32604/rig.2024.055752 - 11 October 2024

Abstract This study examines how socio-economic characteristics predict flood risk in London, England, using machine learning algorithms. The socio-economic variables considered included race, employment, crime and poverty measures. A stacked generalization (SG) model combines random forest (RF), support vector machine (SVM), and XGBoost. Binary classification issues employ RF as the basis model and SVM as the meta-model. In multiclass classification problems, RF and SVM are base models while XGBoost is meta-model. The study utilizes flood risk labels for London areas and census data to train these models. This study found that SVM performs well in binary… More >

Ruiyang Han¹, Tingting Xu^1,*, Yin Shi², Wuyi Liu³

International Journal of Mental Health Promotion, Vol.26, No.9, pp. 731-744, 2024, DOI:10.32604/ijmhp.2024.054884 - 20 September 2024

Abstract Background: College students face significant academic and physiological changes, making them more susceptible to psychological issues such as depression, self-injury, and suicidal ideation. Feelings of defeat can exacerbate these risks by increasing academic stress. However, interpersonal relationships can moderate the impact of academic stress on students’ mental health. Utilizing the presage–process–product model, this study aims to empirically investigate how feelings of defeat influence depression, self-injury, and suicidal ideation among college students. Additionally, it explores the mediating role of academic stress and the moderating role of various types of interpersonal relationships. Methods: A total of 1612… More >

Qian Liu^1,#, Hui Zhang^1,#, Juan Gao², Meiping Sha¹, Lijun Shen¹, Xianfeng Cheng^3,*, Hao Chen^4,*

Psycho-Oncologie, Vol.18, No.3, pp. 213-221, 2024, DOI:10.32604/po.2024.052607 - 12 September 2024

Abstract Background: Keratinocyte carcinoma (KC) is a common malignancy characterized by a high recurrence rate and considerable psychological distress. The incidence of KC is increasing in China, raising concerns about its psychological consequences and adverse effects on quality of life. Demographic and clinical factors are thought to influence mental health outcomes in these patients. Nonetheless, data on the prevalence of anxiety in Chinese patients with KC and the factors associated with this anxiety are notably lacking. Therefore, a comprehensive investigation into the anxiety of patients with KC is imperative. Objective: This study aimed to investigate the… More >

Li-Anne Gacul¹, Dexter Ferrancullo¹, Romel Gallano¹, KC Jane Fadriquela¹, Kyla Jane Mendez¹, John Rommel Morada¹, John Kevin Morgado¹, Jerome Gacu^1,2,*

Revue Internationale de Géomatique, Vol.33, pp. 295-320, 2024, DOI:10.32604/rig.2024.055085 - 03 September 2024

Abstract Risk assessment is vital for humanities, especially in assessing natural and manmade hazards. Romblon, an archipelagic province in the Philippines, faces frequent typhoons and heavy rainfall, resulting in floods, with the Municipality of Santa Fe being particularly vulnerable to its severe damage. Thus, this research study intends to evaluate the flood risk of Santa Fe spatially using the fuzzy analytical hierarchy process (FAHP), taking into account data sourced from various government agencies and online databases. GIS was utilized to map flood-prone areas in the municipality. Hazard assessment factors included average annual rainfall, elevation, slope, soil… More > Graphic Abstract

Biru Chang^1,*, Shengqiang Zhu², Qian Xie^3,4, Yanghui Dai⁵

International Journal of Mental Health Promotion, Vol.26, No.8, pp. 599-610, 2024, DOI:10.32604/ijmhp.2024.050302 - 30 August 2024

Abstract Background: With public health emergencies (PHE) worldwide increasing, the perceived risk of PHE has been one of the critical factors influencing college students’ psychological distress. However, the mechanisms by which the perceived risk of PHE affects college students’ psychological distress are not clear. The study’s purpose was to investigate the mediation roles of deviation from a balanced time perspective (DBTP) and negative coping styles between the perceived risk of PHE and psychological distress. Methods: A convenience sampling method was used to survey 1054 Chinese college students with self-reporting. Data was collected using the Public Risk… More >

He Wang, Xingyu Tong, Huanan Yu^*, Xiao Hu, Jing Bian

Energy Engineering, Vol.121, No.9, pp. 2525-2542, 2024, DOI:10.32604/ee.2024.050594 - 19 August 2024

Abstract Cyber-physical power system (CPPS) has significantly improved the operational efficiency of power systems. However, cross-space cascading failures may occur due to the coupling characteristics, which poses a great threat to the safety and reliability of CPPS, and there is an acute need to reduce the probability of these failures. Towards this end, this paper first proposes a cascading failure index to identify and quantify the importance of different information in the same class of communication services. On this basis, a joint improved risk-balanced service function chain routing strategy (SFC-RS) is proposed, which is modeled as More >