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Predicting ground-based damage states from windstorms using remote-sensing imagery
Tanya M. Brown,Daan Liang,J. Arn Womble 한국풍공학회 2012 Wind and Structures, An International Journal (WAS Vol.15 No.5
Researchers have recently begun using high spatial resolution remote-sensing data, which are automatically captured and georeferenced, to assess damage following natural and man-made disasters, in addition to, or instead of employing the older methods of walking house-to-house for surveys, or photographing individual buildings from an airplane. This research establishes quantitative relationships between the damage states observed at ground-level, and those observed from space using high spatial resolution remote-sensing data, for windstorms, for individual site-built one- or two-family residences (FR12). “Degrees of Damage” (DOD) from the Enhanced Fujita (EF) Scale were determined for groundbased damage states; damage states were also assigned for remote-sensing imagery, using a modified version of Womble’s Remote-Sensing (RS) Damage Scale. The preliminary developed model can be used to predict the ground-level damage state using remote-sensing imagery, which could significantly lessen the time and expense required to assess the damage following a windstorm.
Thai Internet Users' Personality Traits and their Preferred Web Portal's Characteristics
Tanya, Rattipon,Tanlamai, Uthai Korea Data Strategy Society 2013 Journal of information technology applications & m Vol.20 No.3
The objective of this research is to identify a web portal's specific functions and layouts that are aligned with personality trait of an individual internet user. This first stage of the overall research project intends to check whether the research instrument, namely the NEO Five Factors Inventory (NEO-FFI), is applicable to assess the personality traits of Thai internet users. Based on these personality traits, text-based description of functions/layouts of a web portal was developed and given to professional designers to mock up example web portal pages. These web portal pages were in alignment with individual personality traits. Rating data on the functions/layouts corresponding to individual personality traits were collected from an online survey of 207 Thai internet users. Results showed that respondents gave more consistent rating to the functions/layouts close to their individual personality traits identified in the text-based descriptions than in the mocked-up web portal pages.
Monteiro Tanya S.,Nalini R. 한국사회복지학회 2021 Asian Social Work and Policy Review Vol.15 No.2
In India, sanitation work is predominantly undertaken by persons from oppressed castes whose customary roles relegate them to stigmatized occupations. Women sanitation workers, comprising nearly half of the urban workforce, grapple with multiply marginalized identities and social positions. Marginalized at the intersections of caste, gender, and occupation, they contend with violence and socio-economic discrimination. The literature on the occupational and psychosocial risks of sanitation workers indicates that the mental health concerns of women sanitation workers remain largely unaddressed in research and public policy. This paper draws on an analytical review of research on women sanitation workers’ occupational and psychosocial risks with the objective of conceptualizing the relationship between marginalization and mental health. Utilizing intersectionality and social systems theories to present women sanitation workers as a critical case, their experiences of marginalization at the intersections of caste, gender, and occupation are analyzed. Consequently, a conceptual model of mental health outcomes at the intersections of multiply marginalized identities and social positions is developed to analyze the implications of marginalization for mental health. Guidelines for action to inform public policy and social work practice are suggested, emphasizing the need for intersectional interventions and a social justice framework in mental health care for marginalized groups.
Computational study of the morphology and mechanical properties of dilute ABC triblock copolymers
Chantawansri, Tanya L.,Sliozberg, Yelena R. 한국유변학회 2014 Korea-Australia rheology journal Vol.26 No.1
Dissipative particle dynamics was used to predict the morphology and mechanical properties of unentangled linear ABC triblock copolymer gels, where the midblock is solvophilic. By varying the A, B, and C fraction in the triblock, we observe a variety of multicomponent micelles in addition to singular A and C micelles. These multicomponent micelles include sphere-on-sphere micelles, multi-sphere-on-sphere, worm-like micelles, and branched micelles. Simulation cells were also subjected to deformation under uni-axial tension, and correlated to the extent of macrophase separation. Values of elastic modulus were also extracted from the calculated stress using the theory of linear elasticity. Extracted values of the modulus are shown to scale inversely with the midblock length which agrees with other theoretical predictions.
Predicting ground-based damage states from windstorms using remote-sensing imagery
Brown, Tanya M.,Liang, Daan,Womble, J. Arn Techno-Press 2012 Wind and Structures, An International Journal (WAS Vol.15 No.5
Researchers have recently begun using high spatial resolution remote-sensing data, which are automatically captured and georeferenced, to assess damage following natural and man-made disasters, in addition to, or instead of employing the older methods of walking house-to-house for surveys, or photographing individual buildings from an airplane. This research establishes quantitative relationships between the damage states observed at ground-level, and those observed from space using high spatial resolution remote-sensing data, for windstorms, for individual site-built one- or two-family residences (FR12). "Degrees of Damage" (DOD) from the Enhanced Fujita (EF) Scale were determined for ground-based damage states; damage states were also assigned for remote-sensing imagery, using a modified version of Womble's Remote-Sensing (RS) Damage Scale. The preliminary developed model can be used to predict the ground-level damage state using remote-sensing imagery, which could significantly lessen the time and expense required to assess the damage following a windstorm.