A Survey on Android Malware Detection

Malwares are spreading around the world and infecting not only the end users but also large organizations and service providers. Android operating system seems to have attracted the most attention from Malicious code writer due to its popularity. Earlier, Signature based detection techniques were used to detect unknown malwares. But it was insufficient because these techniques were not able to detect unknown malwares (0-day attack). To analyze the malwares, static and dynamic techniques are used. Static analysis has advantage of being undetectable, as malware cannot modify its behavior during analysis. Despite number of detections and analysis techniques are in place, high detection accuracy of new malwares are still a critical issue. This survey paper highlights the existing detection and existing analysis methods used for the android Malicious code

Assessment of bacterial diversity in the chicken litter: A potent risk to environmental health

Using chicken litter as an organic fertilizer on land is the most common, cheapest and environmentally safest way to manage the latter generated swiftly from the poultry industry.  Raw chicken litter has been applied to field soils where various vegetables are cropped to increase yield or productivity. However, the chicken litter frequently come in contact with different environments, such as water, soil, microbes and vegetation. When chickens defecate, their litters, in a few countries, are particularly reused for the next flock, potentially causing cross-contamination. Due to various contact points in the environment, a high probability of bacterial transmission is predicted, which could lead to infection spread in animals and humans. Consumption of contaminated water, food, and meat could lead to the transmission of deadly infections. Microbes in the chicken litter also affect the grazing animals while feeding on fields duly applied with chicken litter as manure. The maximum permissible limits (MPLs) in the chicken litter for land application should not exceed 106-108 CFU/g for Coliform bacteria. Antibiotics are regularly mixed in the diet or drinking water of chicken grown in marketable poultry farms for treating bacterial diseases. Rampant usage of antimicrobials also results in resistant bacteria's survival in animal excreta. Herein, we surveyed the literature to identify the major bacterial genus harboured in the fields applied with chicken manure to increase soil fertility. Our detailed survey identified different bacterial pathogens from chicken litter samples from different investigations. Most studies showed the prevalence of Campylobacter, Salmonella, Enterococcus, E. coli, Bacillus, Comamonas, Proteus and Citrobacter, including many other bacterial species in the chicken litter samples. This article suggested that chicken litter does not meet the standard parameters for direct application as organic fertilizer in the fields. Before being applied to the ground, chicken litter should be treated to lessen the danger of polluting crops or water supplies by reducing the prevalence of harmful bacteria carrying antibiotic-resistance genes

Impact Assessment of Pradhan Mantri Jan-Dhan Yojana in Augmenting Financial Inclusion in India - A District-Level Analysis

The study builds up a financial inclusion index (FII) across districts of 27 Indian states utilizing UNDP's similar approach in constructing the Human Development Index. The FII is constructed for the period 2011-2018. The study additionally investigates government schemes' effectiveness, especially the PMJDY, in augmenting financial inclusion throughout its inception. The study's significant finding shows that a greater part of the Indian locale falls under the class of low financial inclusion. Southern areas perform better while the central, eastern, and north-eastern locale perform poorly in financial inclusion. Further, FII and HDI have a positive association between them. Furthermore, the PMJDY framework has not driven the economy towards a high degree of financial inclusion with only a couple of areas improving their rank from low to medium financial inclusion. Subsequently, underlying changes are legitimized in the institutional setting by fortifying and growing monetary organizations and all the while handling digital literacy

District Level Assessment of Financial Inclusion in India

The study builds an index across districts of 27 Indian states for the period 2014 and 2018, i.e., prior to and after the launch of PMJDY. The FII is developed in line with Sarma (2012) methodology. The proposed index used three dimensions: Deposit Penetration, Credit Penetration, and Availability. The study's significant finding shows southern and western districts are performing better in financial inclusion than other districts. Most of the central, eastern, and north-eastern districts fell under the low inclusion category. Further, FII has a positive relation with HDI. Furthermore, the particular scheme PMJDY has not taken the economy towards high financial inclusion as the number of high inclusion districts increased from 6 in 2014 to just 9 in 2018, and medium inclusion districts increased from 41 in 2014 to 60 in 2018. The investigation suggests that monetary comprehensiveness needs a reasonable methodology that incorporates a fundamental update of the monetary framework and fortifying and growing monetary organizations amassing especially in backward regions, where government activity is required, at the same time handling digital education by making mindfulness, which will additionally expand the interest for monetary services

Impact Assessment of Pradhan Mantri Jan-Dhan Yojana in Augmenting Financial Inclusion in India - A District-Level Analysis

The study builds up a financial inclusion index (FII) across districts of 27 Indian states utilizing UNDP's similar approach in constructing the Human Development Index. The FII is constructed for the period 2011-2018. The study additionally investigates government schemes' effectiveness, especially the PMJDY, in augmenting financial inclusion throughout its inception. The study's significant finding shows that a greater part of the Indian locale falls under the class of low financial inclusion. Southern areas perform better while the central, eastern, and north-eastern locale perform poorly in financial inclusion. Further, FII and HDI have a positive association between them. Furthermore, the PMJDY framework has not driven the economy towards a high degree of financial inclusion with only a couple of areas improving their rank from low to medium financial inclusion. Subsequently, underlying changes are legitimized in the institutional setting by fortifying and growing monetary organizations and all the while handling digital literacy

Selective Estrogen Receptor Down-Regulator and Selective Estrogen Receptor Modulators Differentially Regulate Lactotroph Proliferation

occupation, differentially modulates the biological outcome of anti-estrogens. expression and release, as well as ERE-mediated transcriptional activity. expression

The use of plants in the traditional management of diabetes in Nigeria: Pharmacological and toxicological considerations

Ethnopharmacological relevance: The prevalence of diabetes is on a steady increase worldwide and it is now identified as one of the main threats to human health in the 21st century. In Nigeria, the use of herbal medicine alone or alongside prescription drugs for its management is quite common. We hereby carry out a review of medicinal plants traditionally used for diabetes management in Nigeria. Based on the available evidence on the species׳ pharmacology and safety, we highlight ways in which their therapeutic potential can be properly harnessed for possible integration into the country׳s healthcare system. Materials and methods: Ethnobotanical information was obtained from a literature search of electronic databases such as Google Scholar, Pubmed and Scopus up to 2013 for publications on medicinal plants used in diabetes management, in which the place of use and/or sample collection was identified as Nigeria. ‘Diabetes’ and ‘Nigeria’ were used as keywords for the primary searches; and then ‘Plant name – accepted or synonyms’, ‘Constituents’, ‘Drug interaction’ and/or ‘Toxicity’ for the secondary searches. Results: The hypoglycemic effect of over a hundred out of the 115 plants reviewed in this paper is backed by preclinical experimental evidence, either in vivo or in vitro. One-third of the plants have been studied for their mechanism of action, while isolation of the bioactive constituent(s) has been accomplished for twenty three plants. Some plants showed specific organ toxicity, mostly nephrotoxic or hepatotoxic, with direct effects on the levels of some liver function enzymes. Twenty eight plants have been identified as in vitro modulators of P-glycoprotein and/or one or more of the cytochrome P450 enzymes, while eleven plants altered the levels of phase 2 metabolic enzymes, chiefly glutathione, with the potential to alter the pharmacokinetics of co-administered drugs. Conclusion: This review, therefore, provides a useful resource to enable a thorough assessment of the profile of plants used in diabetes management so as to ensure a more rational use. By anticipating potential toxicities or possible herb–drug interactions, significant risks which would otherwise represent a burden on the country׳s healthcare system can be avoided