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  • Open Access

    ARTICLE

    Machine Learning Based Depression, Anxiety, and Stress Predictive Model During COVID-19 Crisis

    Fahd N. Al-Wesabi1,2,*, Hadeel Alsolai3, Anwer Mustafa Hilal4, Manar Ahmed Hamza4, Mesfer Al Duhayyim5, Noha Negm6,7

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5803-5820, 2022, DOI:10.32604/cmc.2022.021195

    Abstract Corona Virus Disease-2019 (COVID-19) was reported at first in Wuhan city, China by December 2019. World Health Organization (WHO) declared COVID-19 as a pandemic i.e., global health crisis on March 11, 2020. The outbreak of COVID-19 pandemic and subsequent lockdowns to curb the spread, not only affected the economic status of a number of countries, but it also resulted in increased levels of Depression, Anxiety, and Stress (DAS) among people. Therefore, there is a need exists to comprehend the relationship among psycho-social factors in a country that is hypothetically affected by high levels of stress and fear; with tremendously-limiting measures… More >

  • Open Access

    ARTICLE

    Development of Social Media Analytics System for Emergency Event Detection and Crisis Management

    Shaheen Khatoon1,*, Majed A. Alshamari1, Amna Asif1, Md Maruf Hasan1, Sherif Abdou2, Khaled Mostafa Elsayed3, Mohsen Rashwan4

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3079-3100, 2021, DOI:10.32604/cmc.2021.017371

    Abstract Social media platforms have proven to be effective for information gathering during emergency events caused by natural or human-made disasters. Emergency response authorities, law enforcement agencies, and the public can use this information to gain situational awareness and improve disaster response. In case of emergencies, rapid responses are needed to address victims’ requests for help. The research community has developed many social media platforms and used them effectively for emergency response and coordination in the past. However, most of the present deployments of platforms in crisis management are not automated, and their operational success largely depends on experts who analyze… More >

  • Open Access

    ABSTRACT

    Global Analysis of Crisis in a Non-smooth Vibration Oscillator

    Shichao Ma1, 2, Xin Ning1, 2, Pengbi Cui1, 2, Lili Ren1, 2, Liang Wang3

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.23, No.1, pp. 7-8, 2021, DOI:10.32604/icces.2021.08233

    Abstract Vibration isolation design is essential for the spacecraft capture operation in the on-orbit servicing missions. And contact impact is also inevitable in this process, which can be simplified as piece-smooth ordinary differential equations and generate abundant dynamics phenomena. Therefore, it is especially important to study the contact dynamics responses. And global behavior research can be visualized the characteristics of system. Aiming to this issue, the global dynamics of a single-degree-of-freedom non-smooth mechanical system in a vibration isolation experiment is studied by using advanced numerical procedure in this paper. For this non- smooth impact and friction oscillator, the forcing frequency is… More >

  • Open Access

    ARTICLE

    Installing an Innovative Helpline at the Psychotherapeutic Outpatient Clinic of the Sigmund-Freud-Privat University in Vienna during the COVID-19-Crisis

    Benjamin Bric, Paolo Raile*

    International Journal of Mental Health Promotion, Vol.22, No.3, pp. 133-147, 2020, DOI:10.32604/IJMHP.2020.011375

    Abstract It was particularly important that the SFU Outpatient Clinic, which plays a relevant role in Vienna’s psychotherapeutic care, has established a corresponding offer during the COVID-19 crisis and continue to provide professional help. In times of insecurity and fear, we have created a safe contact point to which people could turn for help. In the following article the experiences of setting up an innovative psychotherapeutic Helpline, which is in operation since 21st of March 2020 at 12:00 at the psychotherapeutic outpatient clinic of the Sigmund Freud Private University in Vienna, will be discussed. Furthermore, statistical data on the number of… More >

  • Open Access

    ARTICLE

    A Framework for Comprehensive Impact Assessment in the Case of an ExtremeWinter Scenario, Considering Integrative Aspects of Systemic Vulnerability and Resilience

    Riitta Molarius1, Pekka Tuomaala1, Kalevi Piira1, Minna Räikkönen1, Christoph Aubrecht2, Maria Polese3, Giulio Zuccaro3,4, KaroliinaPilli-Sihvola5, Kalev Ranna

    CMES-Computer Modeling in Engineering & Sciences, Vol.109-110, No.2, pp. 131-158, 2015, DOI:10.3970/cmes.2015.109.131

    Abstract In northern regions, society can be seriously interrupted by a prolonged electricity network blackout due to a winter storm that cuts off power, communication and road networks. Due to hard winter weather it is essential to enhance the resilience of society to avoid danger to life. This can be achieved by developing new models to enhance preparedness for coming disaster events and to support rescue and other authorities to focus their resources on the most vulnerable targets in actual cases of emergencies. This paper presents a part of the results of activities performed within the EU project ‘CRISMA – Modelling… More >

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