The transgender population generally faces rights violations and discrimination in their day-to-day lives, which was exacerbated during the recent pandemic. This necessitates close scrutiny from an ethics perspective. Following directives from a 2014 Supreme Court judgement, Kerala became the first Indian state to implement a comprehensive policy to enforce the constitutional rights of transgender people. Despite such positive actions, a basic social tendency not to respect gender diversity has led to discrimination and marginalization. This was very evident during the pandemic. (...) In this empirical work, we have documented the lives of the transgender community during the pandemic wherein they share experiences related to livelihood, interaction with the healthcare system, and acceptance in society vis-à-vis the pandemic. Simply providing third-gender status will not help the gender-marginalized community to grow to their fullest potential and have a better lifestyle on par with others in mainstream society. (shrink)

An economically viable and environmental friendly method of generating hydrogen for fuel cells is by the reaction of certain metals with steam, called metalsteam reforming (MSR). This technique does not generate any toxic by-products nor contributes to the undesirable greenhouse effect. From the standpoint of favorable thermodynamics, total environmental benignity, and attractive economics, iron appears to be the metal of choice for such a process. An inexpensive source of iron for the MSR is the steel industry's mill-scale waste via hydrogen (...) and carbothermic reduction, both of which are energy-intensive processes. These have been eliminated by a novel, solution-based room temperature technique producing nanoscale iron, thus obviating the sintering of iron or iron oxide and deactivation during the cyclic operation of MSR. Some preliminary results are presented of an investigation aimed at converting the mill-scale waste into nanoscale iron, which was subsequently used in generating hydrogen for proton exchange membrane fuel cells. (shrink)

Day-to-day lives are affected globally by the epidemic coronavirus 2019. With an increasing number of positive cases, India has now become a highly affected country. Chronic diseases affect individuals with no time identification and impose a huge disease burden on society. In this article, an Efficient Recurrent Neural Network with Ensemble Classifier is built using VGG-16 and Alexnet with weighted model to predict disease and its level. The dataset is partitioned randomly into small subsets by utilizing mean-based splitting method. Various (...) models of classifier create a homogeneous ensemble by utilizing an accuracy-based weighted aging classifier ensemble, which is a weighted model’s modification. Two state of art methods such as Graph Sequence Recurrent Neural Network and Hybrid Rough-Block-Based Neural Network are used for comparison with respect to some parameters such as accuracy, precision, recall, f1-score, and relative absolute error. As a result, it is found that the proposed ERNN-EC method accomplishes accuracy of 95.2%, precision of 91%, recall of 85%, F1-score of 83.4%, and RAE of 41.6%. (shrink)

BackgroundCognitive deficits are one of the core features of major depressive disorder that play crucial role in functional recovery. Studies have explored cognitive deficits in MDD, however, given inconsistent results, especially in mild-moderate MDD. Recently, studies have explored music as cognitive ability in various clinical conditions. In MDD, large focus has been on evaluating emotion deficits and just a handful on music cognition. With growing evidence on use of music based intervention to target cognitive deficits, it is imperative to explore (...) nature of music cognitive ability in MDD.AimTo examine musical and neuro-cognitive deficits in patients with mild-moderate MDD.MethodsPatients diagnosed with mild or moderate MDD and matched healthy controls were evaluated on selected tests from NIMHANS Neuropsychological test battery and Montreal battery for evaluation of amusia.ResultsMDD group performed significantly lower than HC on working memory, verbal learning and retention. Three indices were computed for a comprehensive evaluation. Groups did not differ significantly in any of the indices- focused attention, executive function, learning and memory as well as on music cognition. Focused attention and memory index predicted music cognition in HC and the combined group. Attention alone contributed to 62.1% of variance in music cognition. Similarly, music cognition significantly predicted focused attention.ConclusionIndividuals with mild-moderate MDD show significant deficits in working memory, verbal learning and memory, however, not in music cognition. There exists a significant relationship between music cognition and attention, which could be implicated in use of music interventions to ameliorate cognitive deficits. Limitations of study include small sample size and heterogeneity. Future studies on larger cohort examining musical emotion perception and neurocognition is imperative to have deeper understanding of this debilitating condition. (shrink)

We construct an existentially undecidable complete discretely valued field of mixed characteristic with existentially decidable residue field and decidable algebraic part, answering a question by Anscombe–Fehm in a strong way. Along the way, we construct an existentially decidable field of positive characteristic with an existentially undecidable finite extension, modifying a construction due to Kesavan Thanagopal.