objective: poverty alleviation is an essential step to achieve economic development. this is why identification exercise is so crucial. traditionally, different aspects of insecurities have not be taken into poverty measurement. many types of insecurities have adverse impacts on household welfare. identifying vulnerability of household can serve identification of the poor households. methodolog...

AND/OR graphs and minimum-cost solution graphs have been studied extensively in artificial intelligence (see, e.g., Nilsson [14]). Generally, the AND/OR graphs are used to model problem solving processes. The minimum-cost solution graph can be used to attack the problem with the least resource. However, in many cases we want to solve the problem within the shortest time period and we assume tha...

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...

AND/OR graphs and minimum-cost solution graphs have been studied extensively in artificial intelligence (see, e.g., Nilsson ). Generally, the AND/OR graphs are used to model problem solving processes. The minimumcost solution graph can be used to attack the problem with the least resource. However, in many cases we want to solve the problem within the shortest time period and we assume that we ...

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...

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...

Holmgren, Å. J. 2006.Quantitative vulnerability analysis of electric power networks. Division of Safety Research, Department of Transport and Economics, KTH, Stockholm ISBN 10: 91-85539-01-5. Disturbances in the supply of electric power can have serious implications for everyday life as well as for national (homeland) security. A power outage can be initiated by natural disasters, adverse weath...

Over the past two decades, many Brazilian cities have been reporting an increasing incidence and spread of feline sporotrichosis. The disease is neglected, little known about causal processes underlying its epidemic occurrence. This study characterized spatiotemporal dynamics sporotrichosis in Guarulhos. Moreover, we proposed tested a explanation for occurrence zoonotic transmission, giving key...

the occurrence of natural and human disasters can create heavy casualties in cities and urban areas and such a critical issue makes it inevitable to pay a great deal of attention to the vulnerability and safety aspects of cities and the accessibility to the urban welfare standards from the perspective of passive defense. the geostrategic location of koohdasht city in iran and its vulnerability ...

due to simple operation and no needs for expensive infrastructure construction to convey water from a source to farm lands, groundwater becomes the most important sources of agricultural water supply in iran. however, the contamination of aquifers is a major concern in many countries, specifically in areas without effective groundwater protection and management. therefore, groundwater vulnerabi...