نتایج جستجو برای: vulnerability measures

تعداد نتایج: 394565  

اخوان, اکرم, الهی, طاهره, خسروی, رباب, رشیدی رشت آبادی, سهیلا,

Background and Objective: Staying away from the familiar surroundings and family supports, along with weaknesses in capabilities, skills and aging- related failures can lead to mental problems in the elderly residing in nursing homes. Therefore, it is necessary to identify and strengthen the factors that reduce the old people’s vulnerability to these problems. One of the factors neglected in th...

Journal: :International Journal of Cardiovascular Sciences 2021

Hypertension remains a prominent risk factor for cardiovascular diseases. It is not coincidence that 23% to 30% of coronavirus disease-19 (COVID-19) confirmed cases are hypertensive patients, and the case-fatality rate adult COVID-19 with hypertension was estimated at 6%. important patients be aware their vulnerability COVID-19, which may achieved by health promotion program in addition prevent...

Journal: :Revista CESCO de derecho de consumo 2021

Commentary about the rules introduced in matter of evictions by Royal Decree-Law 37/2020, December 22, on urgent measures to deal with situations social and economic vulnerability field housing transports.

Objectives: Early maladaptive schemas are valid representations of unpleasant childhood experiences that shape a person’s viewpoints of the world, and lead to clinical symptoms such as depression, personality disorders, and substance abuse. Given the importance of this matter, we conducted a research on early maladaptive schemas in substance-abusers, to allow more appropriate preventive m...

Journal: :Earth’s Future 2021

Traditionally, building-level disaster risk reduction (DRR) measures are aimed at a single natural hazard. However, in many countries the society faces threat of multiple hazards. Building-level DRR that aim to decrease earthquake vulnerability can have opposing or conflicting effects on flood vulnerability, and vice versa. In case study Afghanistan, we calculate floods earthquakes, terms avera...

Journal: :Environmental Conservation 2021

Summary Human–wildlife interactions (HWIs) occur in many rural African communities, with potential impacts on livelihood vulnerability. High vulnerability may force communities to employ strategies that increase the risk of negative HWIs, yet extent which HWIs drive or are driven by is unclear. We hypothesized more vulnerable households likely be exposed wildlife and experience interactions. To...

Hesamedin Gholami Mojtaba Sookhtanlo Seyyed Reza Es’haghi

Identification and analysis of farmers’ vulnerability associated with their risk aversion degree is one of the necessary requirements for planning and reducing impacts of drought in Iran. So, this study was investigated three risk vulnerability parameters (economic, social and technical) among wheat farmers categorized in accordance with their risk aversion degree in the Mashhad County (Iran) b...

Journal: :CoRR 2018
Jukka Ruohonen

This empirical paper examines the time delays that occur between the publication of Common Vulnerabilities and Exposures (CVEs) in the National Vulnerability Database (NVD) and the Common Vulnerability Scoring System (CVSS) information attached to published CVEs. According to the empirical results based on regularized regression analysis of over eighty thousand archived vulnerabilities, (i) the...

Journal: :IJSN 2006
Eunjin Jung Mohamed G. Gouda

A certificate system can be represented by a directed graph, called a certificate graph, where each node represents a user that has a public key and a private key and each edge (u, v) represents a certificate that is signed by the private key of u and contains the public key of v. Two types of damage can be done in a certificate graph when the private key of a node u in the graph is revealed to...

Journal: :CoRR 2018
Zhen Li Deqing Zou Shouhuai Xu Xinyu Ou Hai Jin Sujuan Wang Zhijun Deng Yuyi Zhong

The automatic detection of software vulnerabilities is an important research problem. However, existing solutions to this problem rely on human experts to define features and often miss many vulnerabilities (i.e., incurring high false negative rate). In this paper, we initiate the study of using deep learning-based vulnerability detection to relieve human experts from the tedious and subjective...

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