scholarly journals Towards Modelling of Evacuation Behavior and Planning for Emergency Logistics Due to the Philippine Taal Volcanic Eruption in 2020

2022 ◽  
Author(s):  
Hector Lim ◽  
Ma. Bernadeth Lim ◽  
Ann Wendy Rojas
Keyword(s):  
Volcanic Eruption ◽  
Emergency Evacuation ◽  
Influential Factors ◽  
Related Factors ◽  
Pairwise Correlation ◽  
Emergency Logistics ◽  
Crucial Component ◽  
Evacuation Behavior ◽  
Imminent Threat ◽  
Relationship Of

Abstract Emergency evacuation is the immediate escape of people away from a place of an imminent threat to a place of safety. The ability of the households to evacuate is a crucial component in reducing disaster risk. Logistical issues such as a lack of resources during and after the evacuation, as well as road congestion, might arise, especially in short and no-notice calamities such as a volcanic eruption. This study examines the relationship of variables of evacuation logistics of Barangay Banga, Talisay, Batangas in the context of the 2020 Taal Volcanic eruption. A survey was conducted based on the experience of the households during the volcanic eruption. A descriptive statistical analysis was performed for all the variables on household evacuation logistics to understand the behavior of households as they make decisions during emergencies. These variables include the type of evacuation, departure timing, evacuation mode choice, and destination choice. Additionally, a pairwise correlation was employed to identify the influential factors related to household evacuation logistics such as socio-demographic and household characteristics, hazard-related factors as well as their experience with Taal Volcano’s recurring activities. The results of this study aim to provide insights to a better understanding of the evacuation behavior of households in the context of a volcanic eruption and be useful in the evacuation logistics planning of the country.

Determinant Factors of Student's Perception Toward Educational Loan Repayment

2018 ◽  
Vol 15 (1) ◽  
pp. 73-83
Author(s):  
Siti Zulaika Zolkeplee ◽  
Abu Bakar Hamed ◽  
Ahamad Faosiy Ogunbado
Keyword(s):  
Parental Influence ◽  
Student Loan ◽  
Influential Factors ◽  
Ministry Of Education ◽  
Loan Repayment ◽  
Education Fund ◽  
Relationship Of ◽  
The Relationship ◽  
Universiti Utara Malaysia ◽  
Survey Approach

The issue of unpayable educational loan that lead to student’s defaults has become a worrying trend all over the world. This research aims to examine the relationship of anxiety, parental influence, media awareness, and religiosity on student’s perception on educational loan repayment. A survey approach has been adopted to investigate student’s perception on educational loan repayment in Universiti Utara Malaysia. The data for this study were collected via structured questionnaires which were completed by 359 undergraduate Muslim’s students who acquire their financial loan from National Higher Education Fund Corporation (NHEFC). The data were then quantitatively analyzed using SPSS program. The findings of Pearson’s correlation showed a positive correlation between student’s perception towards educational loan repayment and religiosity, parental influence, media awareness, and anxiety. Further analysis using a multiple regression indicated that all independent variables explained 32.9 per cent of student’s perception on educational loan repayment. The result again indicated that religiosity and parent’s influence are most influential factors on student’s perception towards educational loan repayment. Whilst, media awareness slightly contributed to student’s perception towards educational loan repayment and anxiety gave no impact. The result implied that the Ministry of Education may design the syllabus in school and university curricular by adding the value of responsibility in loan repayment especially in religious and moral subjects. Besides, the Ministry Education of Malaysia are also urged to use media to disseminate the information regarding the importance for students to make loan repayment to parents as well as students. The collection of student loan then can be used for the next generation in financing their study which could result the prosperity of nation.

scholarly journals Determination of emergency roads to emergency accommodation using loss analysis results

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Sajad Ganjehi ◽  
Khadijeh Norouzi Khatiri
Keyword(s):  
Estimation Method ◽  
Emergency Evacuation ◽  
Influential Factors ◽  
Urban Crisis ◽  
Time Duration ◽  
Loss Analysis ◽  
Expert Choice ◽  
Data Layers ◽  
Temporary Accommodation

AbstractTeh present study aims to identify proper places to build temporary accommodation for people and accessible roads using damage analysis results during a probable earthquake. Teh HAZUS damage estimation method, which is one of teh most common ones currently used in teh world, was used in dis study. Teh influential factors in locating teh temporary accommodation in Shiraz were studied by using damage results, AHP model, and Expert Choice software. Then, map for temporary accommodation was prepared. By integrating layers, teh ultimate map of optimal locating for temporary accommodation was presented. Subsequently, all teh parameters influencing teh safety of emergency evacuation and relief network were identified and teh impact rate of each one was determined based on experts’ opinions through AHP. Based on teh importance of each index, roads were weighed and coded. Then, teh optimal safe road for relief and emergency evacuation was proposed. Teh results suggested dat relief roads are different based on different indices and teh optimal road was obtained through overlapping teh data layers according to teh importance of each parameter. dis optimal road could provide maximum services in teh minimum time duration and subsequently create capacity building in urban crisis management.

scholarly journals An Agent-Based Simulation of Deep Foundation Pit Emergency Evacuation Modeling in the Presence of Collapse Disaster

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 581 ◽  
Author(s):  
Weilong Yang ◽  
Yue Hu ◽  
Cong Hu ◽  
Mei Yang
Keyword(s):  
Emergency Evacuation ◽  
Influential Factors ◽  
Deep Foundation ◽  
Foundation Pit ◽  
Evacuation Modeling ◽  
Agent Based ◽  
Deep Foundation Pit ◽  
Decision Making System ◽  
Escape Process ◽  
Exit Distribution

With the gradual expansion of high buildings and underground spaces, deep foundation pits have been widely used in these engineering projects, but if they are not well-designed, safety problems occur. Proper deep foundation pit design requires proper exit distribution. However, calculating an adequate number of exit distributions for evaluation is difficult due to the numerous influential factors existing in the deep foundation pit environment. To this end, this paper presents a prototype of a decision-making system that uses agent-based modeling to simulate deep foundation pit evacuation in the presence of collapse disaster. By modeling the collapse occurrence process and agent escape process, an agent-based evacuation model is built, and a modified simulation-based particle swarm optimization algorithm is used to solve the optimization problem of exit distribution. Extensive experiments are conducted to verify the system, and the results show that the system provides a feasible framework for deep foundation pit evacuation.

scholarly journals Metabolic markers and oxidative stress in children’s obesity pathogenesis

2020 ◽  
Vol 65 (1) ◽  
pp. 22-29
Author(s):  
O. V. Povarova ◽  
E. A. Gorodetskaya ◽  
E. I. Kalenikova ◽  
O. S. Medvedev
Keyword(s):  
Oxidative Stress ◽  
Adipose Tissue ◽  
Chronic Inflammation ◽  
Metabolic Disorders ◽  
Mineral Metabolism ◽  
Related Factors ◽  
Metabolic Markers ◽  
Hormonal Function ◽  
The Moment ◽  
Relationship Of

The article presents a modern view of obesity as a chronic inflammation of adipose tissue. Obesity is accompanied by metabolic changes in lipid, protein, carbohydrate, mineral metabolism and disorders in the hormonal function of adipose tissue as an endo- and paracrine organ. At the moment, there are searched the biochemical markers of metabolic disorders of obesity. The obesity-related factors (hyperglycemia, increased lipid levels, insulin resistance, chronic inflammation, hyperleptinemia, endothelial dysfunction, impaired respiratory function of mitochondria, minerals and microelements deficiency) form and increase oxidative stress making it an integral component of the pathogenesis of obesity and possible complications. Given the important role of Q10 coenzyme in antioxidant tissue protection, the authors discuss the relationship of obesity and metabolic disorders to the endogenous levels of Q10 coenzyme and its possible use for pharmacological correction.

scholarly journals Variation in Angiostrongylus cantonensis infection in definitive and intermediate hosts in Hawaii, a global hotspot of rat lungworm disease

Parasitology ◽  
2020 ◽  
pp. 1-10
Author(s):  
Chris N. Niebuhr ◽  
Shane R. Siers ◽  
Israel L. Leinbach ◽  
Lisa M. Kaluna ◽  
Susan I. Jarvi
Keyword(s):  
Disease Surveillance ◽  
Strong Predictor ◽  
Management Strategies ◽  
Angiostrongylus Cantonensis ◽  
Infection Prevalence ◽  
Intermediate Hosts ◽  
Related Factors ◽  
Crucial Component ◽  
Wild Host ◽  
Rat Lungworm

Abstract Angiostrongylus cantonensis (rat lungworm) is a tropical and subtropical parasitic nematode, with infections in humans causing angiostrongyliasis (rat lungworm disease), characterized by eosinophilic meningitis. Hawaii has been identified as a global hotspot of infection, with recent reports of high infection rates in humans, as well as rat definitive and snail intermediate hosts. This study investigated variation in A. cantonensis infection, both prevalence and intensity, in wild populations of two species of rats (Rattus exulans and R. rattus) and one species of snail (Parmarion martensi). An overall infection prevalence of 86.2% was observed in P. martensi and 63.8% in rats, with R. exulans (77.4%) greater than R. rattus (47.6%). We found infections to vary with environmental and host-related factors. Body mass was a strong predictor of infection in all three species, with different patterns seen between sexes and species of rats. Infection prevalence and intensity for R. exulans were high in May 2018 and again in February 2019, but generally lower and more variable during the intervening months. Information on sources of variability of infection in wild host populations will be a crucial component in predicting the effectiveness of future disease surveillance or targeted management strategies.

scholarly journals Rectified ethanol production cost analysis

2011 ◽  
Vol 15 (2) ◽  
pp. 281-292 ◽  
Author(s):  
Nikola Budimir ◽  
Marko Jaric ◽  
Branislav Jacimovic ◽  
Srbislav Genic ◽  
Nikola Jacimovic
Keyword(s):  
Raw Materials ◽  
The United States ◽  
Influential Factors ◽  
Production Costs ◽  
Selling Price ◽  
Total Production ◽  
The European Union ◽  
Total Investment ◽  
Relationship Of ◽  
The Impact

This paper deals with the impact of the most important factors of the total production costs in bioethanol production. The most influential factors are: total investment costs, price of raw materials (price of biomass, enzymes, yeast), and energy costs. Taking into account these factors, a procedure for estimation total production costs was establish. In order to gain insight into the relationship of production and selling price of bioethanol, price of bioethanol for some countries of the European Union and the United States are given.

Recent advances in statistical methodology applied to the Hjort liver index time series (1859–2012) and associated influential factors

2016 ◽  
Vol 73 (2) ◽  
pp. 279-295 ◽  
Author(s):  
Gudmund H. Hermansen ◽  
Nils Lid Hjort ◽  
Olav S. Kjesbu
Keyword(s):  
Time Series ◽  
Goodness Of Fit ◽  
Length Distribution ◽  
Detailed Examination ◽  
Influential Factors ◽  
Statistical Methodology ◽  
Related Factors ◽  
Recent Advances ◽  
Winter Temperatures ◽  
Index Time Series

Certain recent advances in statistical methodology have promising potential for fruitful use in general biology and the fisheries sciences. This paper reviews and discusses some of the relevant themes, including accurate modelling via focused model selection techniques, dynamic goodness-of-fit testing of processes evolving over time, finding break points for phenomena experiencing regime shifts, prediction uncertainty, and optimal combination of information across diverse sources via confidence distributions. The methods are illustrated for the Hjort liver quality index time series. Its roots lie in the classic study by Hjort in 1914, where liver quality of the Northeast Arctic cod (Gadus morhua) for 1880–1912 was reported on and studied, along with related factors, making it one of the first teleost time series ever published. The series has been extended both backwards and forwards in time, to 1859–2012, due to comprehensive archival and calibration efforts of Kjesbu et al. in 2014, yielding one of the longest time series of marine science. Our study offers a detailed examination of this series and how it relates to and interacts with associated factors, including winter temperatures, length distribution parameters, cod mortality, and a certain index related to availability of food. We identify certain mild nonstationary aspects of the time series, show that there is a regime shift around 1990 in the ways the liver series interacts with winter temperatures, and demonstrate that mortality and food availability play important roles.

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