Nepali Domestic Workers in New Delhi: Strategies and Agency

Scholars have noted deplorable conditions of female migrant workers who suffer several types of citizenship disabilities as most countries do not extend equal citizenship rights and protections to migrant workers. In addition to this, they are unable to take full advantage of the rights available to them in the host countries because of low cultural and social capital. Further, studies have emphasized how the breakdown of the traditional economy and the penetration of the market in developing societies have forced people, especially from rural areas, to seek low-paying dead-end jobs in the global labor market. Examining Nepali domestic workers in New Delhi, while this research agrees with the existing studies, we also bring to notice the fact that migrant female workers are not always passive victims and that they exercise considerable choice and agency. The case of Nepali domestic workers in New Delhi offers fresh insight into the ways in which migrant women attempt to actively influence and control the work conditions and immediate labour market outcomes. This paper also shows that even if Nepali migrant workers gain in a limited way, they actively collude with their employers to marginalize native domestic workers. In the end, traditional power relations and inequality are reproduced unchallenged

Foreign Aid, Domestic Savings, And Economic Growth In South Asia

The role of foreign aid in promoting growth by complimenting domestic savings has been an issue of considerable controversy. This study examines the role of foreign aid on domestic savings and economic growth in South Asian countries - Bangladesh, India, Nepal, Pakistan, and Sri-Lanka - by using simultaneous equation system in which growth and savings are jointly determined. The results indicate that aid has a positive and significant effect on the growth rates of the five nations studied during 1960 to 2008. However, foreign aid appears to crowd out domestic savings rather than complementing it

Regional economic integration in Mercosur: The role of real and financial sectors

This study explores economic interdependence in Mercosur by examining common trends and common cycles among key macro-variables representing both the real and financial sectors of the economy. The serial correlation common features test reveals that the key macroeconomic variables (real output, investment, and intra-regional trade) share common trends in the long run suggesting that macroeconomic interdependence in the Mercosur economies is strong. The exchange rates demonstrate co-movement in the long run as they share a single common trend. These finding suggests that these economies cannot swing away from long-run equilibrium for an extended duration; they will be brought together by their common trends. Similarly, each variable under consideration shares common cycles lending support to the notion of short-run synchronous movement. The trend-cycle decomposition results reveal that the cyclical movements of real output and trade are synchronized with a high degree of positive correlations. Our overall findings thus provide justification and optimism for deeper economic integration among Mercosur countries

DeltaPhish: Detecting Phishing Webpages in Compromised Websites

The large-scale deployment of modern phishing attacks relies on the automatic exploitation of vulnerable websites in the wild, to maximize profit while hindering attack traceability, detection and blacklisting. To the best of our knowledge, this is the first work that specifically leverages this adversarial behavior for detection purposes. We show that phishing webpages can be accurately detected by highlighting HTML code and visual differences with respect to other (legitimate) pages hosted within a compromised website. Our system, named DeltaPhish, can be installed as part of a web application firewall, to detect the presence of anomalous content on a website after compromise, and eventually prevent access to it. DeltaPhish is also robust against adversarial attempts in which the HTML code of the phishing page is carefully manipulated to evade detection. We empirically evaluate it on more than 5,500 webpages collected in the wild from compromised websites, showing that it is capable of detecting more than 99% of phishing webpages, while only misclassifying less than 1% of legitimate pages. We further show that the detection rate remains higher than 70% even under very sophisticated attacks carefully designed to evade our system.Comment: Preprint version of the work accepted at ESORICS 201

Developing a scalable training model in global mental health: pilot study of a video-assisted training Program for Generalist Clinicians in Rural Nepal.

BackgroundIn low- and middle-income countries, mental health training often includes sending few generalist clinicians to specialist-led programs for several weeks. Our objective is to develop and test a video-assisted training model addressing the shortcomings of traditional programs that affect scalability: failing to train all clinicians, disrupting clinical services, and depending on specialists.MethodsWe implemented the program -video lectures and on-site skills training- for all clinicians at a rural Nepali hospital. We used Wilcoxon signed-rank tests to evaluate pre- and post-test change in knowledge (diagnostic criteria, differential diagnosis, and appropriate treatment). We used a series of 'Yes' or 'No' questions to assess attitudes about mental illness, and utilized exact McNemar's test to analyze the proportions of participants who held a specific belief before and after the training. We assessed acceptability and feasibility through key informant interviews and structured feedback.ResultsFor each topic except depression, there was a statistically significant increase (Δ) in median scores on knowledge questionnaires: Acute Stress Reaction (Δ = 20, p = 0.03), Depression (Δ = 11, p = 0.12), Grief (Δ = 40, p < 0.01), Psychosis (Δ = 22, p = 0.01), and post-traumatic stress disorder (Δ = 20, p = 0.01). The training received high ratings; key informants shared examples and views about the training's positive impact and complementary nature of the program's components.ConclusionVideo lectures and on-site skills training can address the limitations of a conventional training model while being acceptable, feasible, and impactful toward improving knowledge and attitudes of the participants

Controlling magnetic exchange and anisotropy by non-magnetic ligand substitution in layered MPX3 (M = Ni, Mn; X = S, Se)

Recent discoveries in two-dimensional (2D) magnetism have intensified the investigation of van der Waals (vdW) magnetic materials and further improved our ability to tune their magnetic properties. Tunable magnetism has been widely studied in antiferromagnetic metal thiophosphates MPX3. Substitution of metal ions M has been adopted as an important technique to engineer the magnetism in MPX3. In this work, we have studied the previously unexplored chalcogen X substitutions in MPX3 (M = Mn/Ni; X = S/Se). We synthesized the single crystals of MnPS3-xSex (0 < x < 3) and NiPS3-xSex (0 < x < 1.3) and investigated the systematic evolution of the magnetism with varying x. Our study reveals the effective tuning of magnetic interactions and anisotropies in both MnPS3 and NiPS3 upon Se substitution. Such efficient engineering of the magnetism provides a suitable platform to understand the low-dimensional magnetism and develop future magnetic devices

Malarial fever diagnosed and treated in a low risk endemic area

A case of a 2-year-old female child who initially presented with fever, later diagnosed and successfully treated as Malaria in Jajarkot Hospital in the District of Jajarkot which is a low malarial prevalence region. Patient had been treated with oral antibiotics in a local out of hospital pharmacy but continued to remain febrile. Patient admitted for evaluation of fever and inability to feed. Malaria was confirmed with ICT based Rapid Diagnostic Test after other foci/infection with high degree of suspicion were ruled out. Patient was treated based on the recent national guideline and eventually discharged after showing significant signs of improvement. This isolated case of malaria in a hilly low risk area like Jajarkot emphasizes the need to remain vigilant and adopt a stringent protocol-based diagnostic for diagnosis and treatment of a febrile patient

The patterns of population differentiation in a Brassica rapa core collection

With the recent advances in high throughput profiling techniques the amount of genetic and phenotypic data available has increased dramatically. Although many genetic diversity studies combine morphological and genetic data, metabolite profiling has yet to be integrated into these studies. For our study we selected 168 accessions representing the different morphotypes and geographic origins of Brassica rapa. Metabolite profiling was performed on all plants of this collection in the youngest expanded leaves, 5 weeks after transplanting and the same material was used for molecular marker profiling. During the same season a year later, 26 morphological characteristics were measured on plants that had been vernalized in the seedling stage. The number of groups and composition following a hierarchical clustering with molecular markers was highly correlated to the groups based on morphological traits (r = 0.420) and metabolic profiles (r = 0.476). To reveal the admixture levels in B. rapa, comparison with the results of the programme STRUCTURE was needed to obtain information on population substructure. To analyze 5546 metabolite (LC–MS) signals the groups identified with STRUCTURE were used for random forests classification. When comparing the random forests and STRUCTURE membership probabilities 86% of the accessions were allocated into the same subgroup. Our findings indicate that if extensive phenotypic data (metabolites) are available, classification based on this type of data is very comparable to genetic classification. These multivariate types of data and methodological approaches are valuable for the selection of accessions to study the genetics of selected traits and for genetic improvement programs, and additionally provide information on the evolution of the different morphotypes in B. rapa. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00122-010-1516-1) contains supplementary material, which is available to authorized users

Comparative Methods for Association Studies: A Case Study on Metabolite Variation in a Brassica rapa Core Collection

Background Association mapping is a statistical approach combining phenotypic traits and genetic diversity in natural populations with the goal of correlating the variation present at phenotypic and allelic levels. It is essential to separate the true effect of genetic variation from other confounding factors, such as adaptation to different uses and geographical locations. The rapid availability of large datasets makes it necessary to explore statistical methods that can be computationally less intensive and more flexible for data exploration. Methodology/Principal Findings A core collection of 168 Brassica rapa accessions of different morphotypes and origins was explored to find genetic association between markers and metabolites: tocopherols, carotenoids, chlorophylls and folate. A widely used linear model with modifications to account for population structure and kinship was followed for association mapping. In addition, a machine learning algorithm called Random Forest (RF) was used as a comparison. Comparison of results across methods resulted in the selection of a set of significant markers as promising candidates for further work. This set of markers associated to the metabolites can potentially be applied for the selection of genotypes with elevated levels of these metabolites. Conclusions/Significance The incorporation of the kinship correction into the association model did not reduce the number of significantly associated markers. However incorporation of the STRUCTURE correction (Q matrix) in the linear regression model greatly reduced the number of significantly associated markers. Additionally, our results demonstrate that RF is an interesting complementary method with added value in association studies in plants, which is illustrated by the overlap in markers identified using RF and a linear mixed model with correction for kinship and population structure. Several markers that were selected in RF and in the models with correction for kinship, but not for population structure, were also identified as QTLs in two bi-parental DH populations