2015 Nepal earthquake: seismic performance and post-earthquake reconstruction of stone in mud mortar masonry buildings

This report is an outcome of the analysis of data and information related to the damage and post-earthquake reconstruction of residential buildings, collected during the field survey by the authors, in light of 2015 Nepal earthquake sequence

STRUCTURAL CLASSIFICATION SYSTEM FOR LOAD BEARING MASONRY SCHOOL BUILDINGS

Many school infrastructures around the world have poor seismic performance exposing millions of school children to significant seismic risk. School facilities also serve as shelters for communities during disasters. Many of these school buildings were constructed long before the development of seismic design practices and in developing countries, school buildings are still being built locally without any seismic design. Moreover, unreinforced masonry construction, using brick, stone, mud etc., is rather vulnerable to earthquakes. Thus, it is important to understand the seismic performance of masonry school buildings, and then to seismically strengthen them to stand stronger during destructive seismic actions. For the seismic vulnerability analysis, a comprehensive structural classification is crucial for grouping the school buildings into distinct structural typologies. This paper focuses on the development of a globally applicable structural classification system for load bearing masonry (LBM) school buildings, as a first step towards the seismic vulnerability analysis and strengthening strategy selection for risk reduction of school buildings at regional level. A number of seismic vulnerability parameters specific to masonry school buildings (such as load bearing wall type, building height, diaphragm flexibility etc.) are identified for the development of a comprehensive structural classification system which collectively result in a taxonomy string for a building structure unique to each building type. Finally, the application of this classification system to identify index buildings in each typology of LBM school buildings for the seismic vulnerability analysis at regional level is presented

GLOSI taxonomy: A tool for ‘seismic risk assessment’ oriented classification of school buildings

For the seismic vulnerability and risk assessment of school infrastructure in a region, it becomes necessary first to identify and classify these constructions into a distinct number of structural typologies characterised by their vulnerability features. This enables us to rank the expected vulnerability of different typologies at the initial screening stage as well as to characterise the representative index buildings of different typologies for detailed vulnerability quantification. Currently, a systematic and comprehensive taxonomy tailored for the school buildings is not available. The present paper thus develops a globally applicable structural taxonomy to be used in the seismic risk assessment of school infrastructure within the framework of the Global Program for Safer Schools (GPSS) of the World Bank. Application as well as verification of the proposed taxonomy is tested to a range of school construction types from different countries across the world

Entrepreneurial Behaviour of the Agriculture Students-A review

The present study aimed to investigate the factors that influence the entrepreneurial behavior of college students. The study identified various personal and situational factors that may affect entrepreneurial behavior. The results showed that personality traits, such as openness, extraversion, and conscientiousness, had a significant positive impact on entrepreneurial behavior. Specific motivational traits, such as entrepreneurial self-efficacy, internal locus of control, and risk-taking propensity, were also significant predictors of entrepreneurial behavior. Situational factors, such as entrepreneurship education, were found to have a significant positive impact on entrepreneurial behavior, with entrepreneurial self-efficacy playing a key mediating role in this relationship. Attitudes towards entrepreneurship were found to be a significant driver of entrepreneurial intention, with perceived desirability and feasibility, as well as perceived individual and collective efficacy, also significant predictors of entrepreneurial intention. Sustainable entrepreneurial intention was found to be influenced by attitude towards the behavior variable, with subjective norms playing an indirect role in mediating this effect. Overall, the study suggests that personal traits, such as personality and motivational factors, as well as situational factors, such as education and attitudes towards entrepreneurship, are significant predictors of entrepreneurial behavior. These findings have important implications for educators and policymakers who seek to promote entrepreneurial behavior among college students. Future research should continue to explore the complex relationships between personal and situational factors and entrepreneurial behavior to further enhance our understanding of this important phenomenon. &nbsp

Resilient communities through safer schools

Access to education is a basic human right. It is the 4th of the 17 Sustainable Development Goals (SDGs) and education is strongly associated with poverty reduction. Providing facilities to educate children requires construction of school buildings and rapid expansion of curricula. However, in the rush to fulfil the right to education, are children being put at risk? What attention is being given to structural safety during the construction of new school facilities? The growing consensus among stakeholders is that public school infrastructure in developing countries worldwide is particularly susceptible to natural hazards. This highlights a compelling need for developing and implementing effective, integrated, and ‘ground-real’ strategies for assessing and radically improving the safety and resilience of schools across those countries. To this aim, the paper explores two main issues: effectiveness at scale and the relevance of multiple hazard effects on the resilience of school infrastructure. Specifically, the paper first discusses the challenges associated with the World Bank Global Program for Safer School (GPSS) and the development of its Global Library of School Infrastructure (GLOSI), highlighting the issues associated with producing a tool which can be effective at scale and support nationwide risk models for school infrastructure across the world, so that fairness and relevance of investment can be achieved. This is followed by the illustration of a number of specific tools developed by the authors to expand the risk prioritization procedures used for seismic hazard, to other hazards such as flood and windstorm and to quantify the reduction in seismic fragility obtained by implementing specific strengthening strategies. Rapid visual survey forms, a mobile app, a multi-hazard risk prioritization ranking, and numerical fragility relationships are presented and their application discussed in relation to a case study in the Philippines. The proposed tools represent a first step toward a detailed multi-hazard risk and resilience assessment framework of school infrastructure. The aim is to allow stakeholders and decision-makers to quickly identify the most vulnerable structures among the surveyed stock, to guide more detailed data collection campaigns and structural assessment procedures, such as analytical vulnerability approaches, and ultimately to plan further retrofitting/strengthening measures or, if necessary, school replacement/relocation

Prevalence of cardiovascular health risk behaviors in a remote rural community of Sindhuli district, Nepal

BACKGROUND: Cardiovascular disease (CVD) is emerging as a public health menace among low and middle income countries. It has particularly affected the poorest. However, there is paucity of information about CVD risk factors profile among Nepalese rural communities where the majority of people live in poverty. Therefore, this study aimed to identify the prevalence of cardiovascular health risk behaviors in an outback community of Nepal. METHODS: We conducted a descriptive cross-sectional study in Tinkanya Village Development Committee (VDC), Sindhuli between January and March, 2014. Total 406 participants of age 20 to 50 years were selected randomly. Data were collected using WHO-NCD STEPwise approach questionnaires and analyzed with SPSS V.16.0 and R i386 2.15.3 software. RESULT: The mean age of participants was 36.2 ± 9 years. Majority of participants (76.3%) were from lower socio-economic class, Adibasi/Janajati (63.1%), and without formal schooling (46.3%). Smoking was present in 28.6%, alcohol consumption in 47.8%, insufficient fruits and vegetables intake in 96.6%, insufficient physical activity in 48.8%; 25.6% had high waist circumference, 37.4% had overweight and obesity. Average daily salt intake per capita was 14.4 grams ±4.89 grams. Hypertension was detected in 12.3%. It had an inverse relationship with education and socio-economic status. In binary logistic regression analysis, age, smoking, body mass index (BMI) and daily salt intake were identified as significant predictors of hypertension. CONCLUSION: Present study showed high prevalence of smoking, alcohol consumption, insufficient fruit and vegetable intake, daily salt intake, overweight and obesity and hypertension among remote rural population suggesting higher risk for developing CVD in future. Nepalese rural communities, therefore, are in need of population-wide comprehensive intervention approaches for reducing CVD health risk behaviors

Long-term impact of community-based participatory women's groups on child and maternal mortality and child disability: follow-up of a cluster randomised trial in rural Nepal

Background: Community-based women's groups practising participatory learning and action (PLA) can reduce maternal and neonatal mortality in low-income countries. However, it is not clear whether these reductions are associated with subsequent increased or decreased rates of childhood death and disability. We assessed the impact on child deaths and disability beyond the perinatal period among participants in the earliest trial in Nepal 2001-2003. Methods: Household interviews were conducted with mothers or household heads. At cluster and individual levels, we analysed disability using pairwise log relative risks and survival using multilevel logistic models. Findings: From 6075 children and 6117 mothers alive at 4 weeks post partum, 44 419 children (73%) were available for interview a mean 11.5 years later. Rates of child deaths beyond the perinatal period were 36.6 and 52.0 per 1000 children in the intervention and control arms respectively. Rates of disability were 62.7 and 85.5 per 1000 children in the intervention and control arms respectively. Individual-level analysis, including random effects for cluster pairing and adjusted for baseline maternal literacy, socioeconomic status and maternal age, showed lower, statistically non-significant, odds of child deaths (OR 0.70 (95% CI 0.43 to 1.18) and disability (0.64 (0.39 to 1.06)) in the intervention arm. Conclusion: Community-level exposure to women's groups practising PLA did not significantly impact childhood death or disability or death beyond the perinatal period. Follow-up of other trials with larger sample sizes is warranted in order to explore the possibility of potential long-term survival and disability benefits with greater precision

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.

This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors

Hardship financing of healthcare among rural poor in Orissa, India

<p>Abstract</p> <p>Background</p> <p>This study examines health-related "hardship financing" in order to get better insights on how poor households finance their out-of-pocket healthcare costs. We define hardship financing as having to borrow money with interest or to sell assets to pay out-of-pocket healthcare costs.</p> <p>Methods</p> <p>Using survey data of 5,383 low-income households in Orissa, one of the poorest states of India, we investigate factors influencing the risk of hardship financing with the use of a logistic regression.</p> <p>Results</p> <p>Overall, about 25% of the households (that had any healthcare cost) reported hardship financing during the year preceding the survey. Among households that experienced a hospitalization, this percentage was nearly 40%, but even among households with outpatient or maternity-related care around 25% experienced hardship financing.</p> <p>Hardship financing is explained not merely by the wealth of the household (measured by assets) or how much is spent out-of-pocket on healthcare costs, but also by when the payment occurs, its frequency and its duration (e.g. more severe in cases of chronic illnesses). The location where a household resides remains a major predictor of the likelihood to have hardship financing despite all other household features included in the model.</p> <p>Conclusions</p> <p>Rural poor households are subjected to considerable and protracted financial hardship due to the indirect and longer-term deleterious effects of how they cope with out-of-pocket healthcare costs. The social network that households can access influences exposure to hardship financing. Our findings point to the need to develop a policy solution that would limit that exposure both in quantum and in time. We therefore conclude that policy interventions aiming to ensure health-related financial protection would have to demonstrate that they have reduced the frequency and the volume of hardship financing.</p