Sanaa Al-Marzouki¹, Farrukh Jamal², Christophe Chesneau^3,*, Mohammed Elgarhy⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 437-458, 2020, DOI:10.32604/cmes.2020.011521

Abstract Recent studies have pointed out the potential of the odd Fréchet family (or class) of continuous distributions in fitting data of all kinds. In this article, we propose an extension of this family through the so-called “Topp-Leone strategy”, aiming to improve its overall flexibility by adding a shape parameter. The main objective is to offer original distributions with modifiable properties, from which adaptive and pliant statistical models can be derived. For the new family, these aspects are illustrated by the means of comprehensive mathematical and numerical results. In particular, we emphasize a special distribution with three parameters based on the… More >

Changkai Chen^1,*, Yongjing Zhang¹, Anran Xu², Xing Chen¹, Jingru Lin³

International Journal of Mental Health Promotion, Vol.22, No.3, pp. 173-184, 2020, DOI:10.32604/IJMHP.2020.011509

Abstract Two studies were conducted to compare the differences between the source and significance of the meaning of life amongst Chinese people before and after the pandemic of COVID-19. In study 1, we have developed a scale regarding the Chinese Sources of Meaning in Life. By using this scale, we investigated people under COVID-19, and found six main sources of meaning in life: Autonomy, Family Responsibility, Social Responsibility, Religious Beliefs, Simpler Lifestyle as well as Joy and Wealth. In Study 2, we compared the scores of the source of life’s meaning shown in the two different samples regarding the situations before… More >

Mian Xia^1,2,3,*, Changming Duan⁴

International Journal of Mental Health Promotion, Vol.22, No.3, pp. 159-172, 2020, DOI:10.32604/IJMHP.2020.011117

Abstract The purpose of this study was to investigate the stress and coping strategy of Chinese International Students (CISs) during the epidemic, and to explore the relationship between identification with Chinese cultural beliefs and coping strategies, positive experience, negative emotion and need for psychological support. Two hundred and thirty CISs participated in the study by filling out a series of questionnaires that we designed. The series of questionnaires contained six scales: Pandemic Related Stress (PRS), Identification with Chinese Cultural Beliefs (ICCB), Stress Coping Strategy (SCS), Positive Experience (PE) and Negative Emotion (NE) and Need for Psychological Support (NPS). The results showed… More >

Xu Zhu¹, Meng Xia¹, Yingzhe Hu¹, Lin Zhang^1,*, Yun Lu², Ying Zhang¹, Xudong Guo¹

International Journal of Mental Health Promotion, Vol.22, No.3, pp. 149-157, 2020, DOI:10.32604/IJMHP.2020.011097

Abstract The purpose of the study was to investigate the mental status and psychological needs of police officers during the COVID-19 outbreak in China. The Anti-Pandemic Public Mental Status Scale and self-administered Psychological Needs Scale were administered online to police officers in Y city, a significant sub-central city of Hubei Province, where was affected by the pandemic the most seriously. A total of 5,467 valid questionnaires were collected, of which female police accounted for 17.7%. Compared with the national public and Y city public data previously measured using the Anti-Pandemic Public Mental Status Scale, this study found that 24.6% of the… More >

Xiaoming Jia, Linyu You, Qin An^*

International Journal of Mental Health Promotion, Vol.22, No.3, pp. 115-121, 2020, DOI:10.32604/IJMHP.2020.011120

Abstract Psychological hotlines became the most convenient and feasible way to provide psychological intervention for the needy after the outbreak of COVID- 19. Hotlines assisting in defeating the coronavirus functioned quite differently from general psychological hotlines and face-to-face counseling. This article discusses the specificity of hotlines of this kind, including appropriate operational procedures that include the overall assessment and the empathetic understanding of the clients, a quick focus on goals, and real-world oriented assistance. Major administrative and ethical concerns are also addressed. More >

Xiubin Lin^1,3, Joshua Swift², Yin Cheng^1,3, Qin An⁴, Hong Liang⁵, Yangsheng Wang³, Xiaoming Jia^4,*

International Journal of Mental Health Promotion, Vol.22, No.3, pp. 109-113, 2020, DOI:10.32604/IJMHP.2020.011128

Abstract The outbreak of the COVID-19 pandemic has provoked a significant amount of panic due to dramatic changes in daily routines for residents all over China. In response, more than 600 psychological hotlines have been built or modified and have supplied mental health services for the public. Regarding the service quality of the hotlines, a survey has been conducted to investigate the running of hotline services during the COVID-19 pandemic. The results reveal that the more successful hotlines all had better trained hotline counselors, and in the meanwhile, the key features of providing supervision arrangements and training resources. Moreover, the referral… More >

Mingyi Qian¹, Rodney Goodyear², Guangrong Jiang^3,*, Zhihong Ren³

International Journal of Mental Health Promotion, Vol.22, No.3, pp. 105-107, 2020, DOI:10.32604/IJMHP.2020.013483

Abstract This article has no abstract. More >

Peipeng Yu¹, Zhihua Xia^{1, *}, Jianwei Fei¹, Sunil Kumar Jha^{1, 2}

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 743-760, 2020, DOI:10.32604/cmc.2020.011391

Abstract Coronaviruses are a well-known family of viruses that can infect humans or animals. Recently, the new coronavirus (COVID-19) has spread worldwide. All countries in the world are working hard to control the coronavirus disease. However, many countries are faced with a lack of medical equipment and an insufficient number of medical personnel because of the limitations of the medical system, which leads to the mass spread of diseases. As a powerful tool, artificial intelligence (AI) has been successfully applied to solve various complex problems ranging from big data analysis to computer vision. In the process of epidemic control, many algorithms… More >

Ibrahim Arpaci¹, Shadi Alshehabi², Mostafa Al-Emran^{3, *}, Mahmoud Khasawneh⁴, Ibrahim Mahariq⁴, Thabet Abdeljawad^{5, 6, 7}, Aboul Ella Hassanien^{8, 9}

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 193-204, 2020, DOI:10.32604/cmc.2020.011489

Abstract People started posting textual tweets on Twitter as soon as the novel coronavirus (COVID-19) emerged. Analyzing these tweets can assist institutions in better decision-making and prioritizing their tasks. Therefore, this study aimed to analyze 43 million tweets collected between March 22 and March 30, 2020 and describe the trend of public attention given to the topics related to the COVID-19 epidemic using evolutionary clustering analysis. The results indicated that unigram terms were trended more frequently than bigram and trigram terms. A large number of tweets about the COVID-19 were disseminated and received widespread public attention during the epidemic. The high-frequency… More >

Jodi L. Feinberg¹, Frank Cecchin^1,2, Arianna Gonzalez¹, Emily Johnson², Dan G. Halpern^1,*

Congenital Heart Disease, Vol.15, No.3, pp. 141-146, 2020, DOI:10.32604/CHD.2020.012039

Abstract Adults with congenital heart disease (ACHD) are likely at increased risk for complications of COVID-19. ACHD centers should prepare to deliver routine cardiac care and support for patients with COVID-19 safely at home, as the number of COVID-19 infections worldwide continues to increase. This brief report aims to share the strategies we have used in our ACHD program to manage and treat our patients during this global health crisis at one of the initial epicenters of the pandemic in New York City, and offer suggestions for preparation for ACHD clinicians. More >