The Impact of Some Family Variables on the Dimension of Social Responsibility

The current study discusses the social and psychological studies conducted on the concept of the social responsibility, as well as the symbolic interactive trend as a theoretical basis for interpretation; moreover, discussing the social responsibility in the light of family variables. The aim of this study is to investigate the family variables, including domicile, parents＇ education, their age, the type of work they do, family size, and family income. As to the social responsibility＇s dimensions for sample selected for this study; hence, it includes personal, ethical, national, environmental, health, and social responsibility. The current study adopted the descriptive approach along with a demographic data form and the social responsibility＇s scale. The sample selected consisted of 330 female students from various colleges within King Abdulaziz University. The results indicated that there was an impact on all the variables, thus such impact was in favor of those living in rural areas as to the ethical dimension and in favor of urban people as to the dimensions of accountability, parents＇ level of education, parents＇ seniority, working mothers, greater family size, and higher income.

Enlightenment from the COVID-19 Pandemic:The Roles of Environmental Factors in Future Public Health Emergency Response

The coronavirus disease 2019(COVID-19)pandemic is challenging the current public health emergency response systems(PHERSs)of many countries.Although environmental factors,such as those influencing the survival of viruses and their transmission between species including humans,play important roles in PHERSs,little attention has been given to these factors.This study describes and elucidates the roles of environmental factors in future PHERSs.To improve countries’capability to respond to public health emergencies associated with viral infections such as the COVID-19 pandemic,a number of environmental factors should be considered before,during,and after the responses to such emergencies.More specifically,to prevent pandemic outbreaks,we should strengthen environmental and wildlife protection,conduct detailed viral surveillance in animals and hotspots,and improve early-warning systems.During the pandemic,we must study the impacts of environmental factors on viral behaviors,develop control measures to minimize secondary environmental risks,and conduct timely assessments of viral risks and secondary environmental effects with a view to reducing the impacts of the pandemic on human health and on ecosystems.After the pandemic,we should further strengthen surveillance for viruses and the prevention of viral spread,maintain control measures for minimizing secondary environmental risks,develop our capability to scientifically predict pandemics and resurgences,and prepare for the next unexpected resurgence.Meanwhile,we should restore the normal life and production of the public based on the“One Health”concept,that views global human and environmental health as inextricably linked.Our recommendations are essential for improving nations’capability to respond to global public health emergencies.

Finite element model validation of bridge based on structural health monitoring——Part I: Response surface-based finite element model updating

In the engineering practice, merging statistical analysis into structural evaluation and assessment is a tendency in the future. As a combination of mathematical and statistical techniques, response surface （RS） methodology has been successfully applied to design optimization, response prediction and model validation. With the aid of RS methodology, these two serial papers present a finite element （FE） model updating and validation method for bridge structures based on structural health monitoring. The key issues to implement such a model updating are discussed in this paper, such as design of experiment, parameter screening, construction of high-order polynomial response surface model, optimization methods and precision inspection of RS model. The proposed procedure is illustrated by a prestressed concrete continuous rigid-frame bridge monitored under operational conditions. The results from the updated FE model have been compared with those obtained from online health monitoring system. The real application to a full-size bridge has demonstrated that the FE model updating process is efficient and convenient. The updated FE model can relatively reflect the actual condition of Xiabaishi Bridge in the design space of parameters and can be further applied to FE model validation and damage identification.

COVID-19 containment: China provides important lessons for global response

The world must act fast to contain wider international spread of the epidemic of COVID-19 now.The unprecedented public health efforts in China have contained the spread of this new virus.Measures taken in China are currently proven to reduce human-to-human transmission successfully.We summarized the effective intervention and prevention measures in the fields of public health response,clinical management,and research development in China,which may provide vital lessons for the global response.It is really important to take collaborative actions now to save more lives from the pandemic of COVID-19.