Traci N. Adams^1,*, Carol S. North²

International Journal of Mental Health Promotion, Vol.27, No.7, pp. 1045-1050, 2025, DOI:10.32604/ijmhp.2025.065144 - 31 July 2025

Abstract Physician mental health (MH) is in crisis, particularly in high-stress areas of medicine such as the emergency room and the intensive care unit. The high prevalence of burnout and psychiatric illness among critical care physicians, along with delays in seeking psychiatric care, can lead to suicide, ruined careers, damaged relationships, and medical errors. Psychoeducation programs can reduce MH sick leave days, increase empathy, and enhance help-seeking attitudes. The purpose of this brief communication is to demonstrate that physician psychoeducation programs can improve patient care, improve outcomes in physicians with psychiatric illness, and improve burnout rates, More >

Agar Marín-Morales^1,2,*, Sofia Amaoui², Carmen Fernández-Fillol^2,3,4, Gustavo Carlo⁵, Sandra Rivas-García^2,6

International Journal of Mental Health Promotion, Vol.27, No.4, pp. 561-576, 2025, DOI:10.32604/ijmhp.2025.058881 - 30 April 2025

Abstract Background: Prosocial behavior plays a crucial role in improving interpersonal relationships and social well-being, especially in times of crisis. The COVID-19 pandemic caused a severe humanitarian crisis, prompting governments to implement measures such as social confinement. The main objective of the study was to analyze the psychological and sociodemographic variables that may predict prosocial behavior during quarantine. Methods: The sample consisted of 172 participants from Spain, divided into two groups based on whether they reported an increase in prosocial behaviors during quarantine. An online survey was administered to analyze the psychological and sociodemographic variables. Results: Overall, More >

V. I. Zhukov^1,2,*, A. N. Pavlenko¹

Frontiers in Heat and Mass Transfer, Vol.22, No.6, pp. 1761-1775, 2024, DOI:10.32604/fhmt.2024.056779 - 19 December 2024

Abstract The results of an experimental study on critical heat fluxes (CHF) during the nucleate boiling of the HFE-7100 dielectric liquid in horizontal layers of different heights at atmospheric pressure are presented. The existence of a critical layer height has been established. In layers above the critical layer height, a hydrodynamic boiling crisis occurs; in thinner layers, a surface drying crisis occurs. At a layer height equal to the critical value, a dry spot first appears, followed by transition boiling, which gradually spreads to the entire heating surface. In these experiments, the critical layer height was More >

Dian Kesumarini^1,2, Yunita Widyastuti³, Cindy Elfira Boom¹, Lucia Kris Dinarti^4,*

Congenital Heart Disease, Vol.18, No.6, pp. 671-678, 2023, DOI:10.32604/chd.2023.044746 - 19 January 2024

Abstract Tetralogy of Fallot (TOF) with total anomalous pulmonary vein connections (TAPVC) is a rare type of complex congenital heart disease among all TOF cases. Co-presentation of major aortopulmonary collateral arteries (MAPCAs) compensates for the lack of central pulmonary blood flow and decreases the severity of right-to-left shunting in TOF. We present a case of a 2-year-old child with complex diagnoses of TOF, TAPVC, a large secundum atrial septal defect (ASD), and intraoperatively identified MAPCAs. She underwent surgery to repair the TAPVC, valve-sparing reconstruction of the right ventricular outflow tract, interventricular defect closure, and the creation… More >

Michael Galvin^1,2,3,*, Guesly Michel³, Henri-Claude Saintelmond⁴, Carolyn Lesorogol⁵, Jean-François Trani⁵, Lora Iannotti⁵

International Journal of Mental Health Promotion, Vol.25, No.2, pp. 173-191, 2023, DOI:10.32604/ijmhp.2023.018800 - 02 February 2023

Abstract In recent decades, Haiti has been subject to man-made and natural disasters that have left its citizens vulnerable to a range of shocks. With a weak state unable to protect its populace, Haitians are exposed to some of the highest levels of poverty and violence in the Western Hemisphere. In recent years, Haitians have experienced two crises that this study analyzes: the instability and political violence of “peyi lòk” as well as the global pandemic of COVID-19. This community-based assessment explores the impact of these two crises on the mental health and psychological well-being of… More >

Hong Wang¹, Narges Sanchuli^2,*

International Journal of Mental Health Promotion, Vol.25, No.1, pp. 63-79, 2023, DOI:10.32604/ijmhp.2022.022319 - 29 November 2022

Abstract The COVID-19 pandemic has struck nations worldwide, pushing worldwide health and socioeconomic systems to extreme limits. Various factors, such as drastic alterations in public environments, prolonged quarantine, revenue loss, and anxiety of disease contraction, have caused mental turmoil. Although there was a need to cope with an excess of psychological strain among the public, post-COVID patients, and those with a previously diagnosed psychiatric condition, mental health programs faced a substantial decline in services, mirroring the dramatic rise in psychological issues. Interestingly, certain coping strategies play protective or deleterious effects on mental health outcomes. Moreover, social… More >

Kavitha Muthukumaran^*, K. Hariharanath, Vani Haridasan

Computer Systems Science and Engineering, Vol.45, No.1, pp. 887-901, 2023, DOI:10.32604/csse.2023.030627 - 16 August 2022

Abstract Financial crisis prediction (FCP) received significant attention in the financial sector for decision-making. Proper forecasting of the number of firms possible to fail is important to determine the growth index and strength of a nation’s economy. Conventionally, numerous approaches have been developed in the design of accurate FCP processes. At the same time, classifier efficacy and predictive accuracy are inadequate for real-time applications. In addition, several established techniques carry out well to any of the specific datasets but are not adjustable to distinct datasets. Thus, there is a necessity for developing an effectual prediction technique… More >

Kavitha Muthukumaran^*, K. Hariharanath

Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 521-536, 2023, DOI:10.32604/iasc.2023.025968 - 06 June 2022

Abstract Recently, data science techniques utilize artificial intelligence (AI) techniques who start and run small and medium-sized enterprises (SMEs) to take an influence and grow their businesses. For SMEs, owing to the inexistence of consistent data and other features, evaluating credit risks is difficult and costly. On the other hand, it becomes necessary to design efficient models for predicting business failures or financial crises of SMEs. Various data classification approaches for financial crisis prediction (FCP) have been presented for predicting the financial status of the organization by the use of past data. A major process involved… More >

K. Pradeep Mohan Kumar¹, S. Dhanasekaran², I. S. Hephzi Punithavathi³, P. Duraipandy⁴, Ashit Kumar Dutta⁵, Irina V. Pustokhina^6,*, Denis A. Pustokhin⁷

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1541-1555, 2022, DOI:10.32604/cmc.2022.028338 - 18 May 2022

Abstract Financial crisis prediction (FCP) models are used for predicting or forecasting the financial status of a company or financial firm. It is considered a challenging issue in the financial sector. Statistical and machine learning (ML) models can be employed for the design of accurate FCP models. Though numerous works have existed in the literature, it is needed to design effective FCP models adaptable to different datasets. This study designs a new bird swarm algorithm (BSA) with fuzzy min-max neural network (FMM-NN) model, named BSA-FMMNN for FCP. The major intention of the BSA-FMMNN model is to… More >

Thavavel Vaiyapuri¹, K. Priyadarshini², A. Hemlathadhevi³, M. Dhamodaran⁴, Ashit Kumar Dutta⁵, Irina V. Pustokhina^6,*, Denis A. Pustokhin⁷

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2429-2444, 2022, DOI:10.32604/cmc.2022.026204 - 29 March 2022

Abstract Due to global financial crisis, risk management has received significant attention to avoid loss and maximize profit in any business. Since the financial crisis prediction (FCP) process is mainly based on data driven decision making and intelligent models, artificial intelligence (AI) and machine learning (ML) models are widely utilized. This article introduces an intelligent feature selection with deep learning based financial risk assessment model (IFSDL-FRA). The proposed IFSDL-FRA technique aims to determine the financial crisis of a company or enterprise. In addition, the IFSDL-FRA technique involves the design of new water strider optimization algorithm based More >