Hate speech has spread more rapidly through the daily use of technology and, most notably, by sharing your opinions or feelings on social media in a negative aspect. Although numerous works have been carried out in detecting hate speeches in English, German, and other languages, very few works have been carried out in the context of the Bengali language. In contrast, millions of people communicate on social media in Bengali. The few existing works that have been carried out need improvements (...) in both accuracy and interpretability. This article proposed encoder–decoder-based machine learning model, a popular tool in NLP, to classify user’s Bengali comments from Facebook pages. A dataset of 7,425 Bengali comments, consisting of seven distinct categories of hate speeches, was used to train and evaluate our model. For extracting and encoding local features from the comments, 1D convolutional layers were used. Finally, the attention mechanism, LSTM, and GRU-based decoders have been used for predicting hate speech categories. Among the three encoder–decoder algorithms, attention-based decoder obtained the best accuracy (77%). (shrink)

Misconduct in medical science research is an unfortunate reality. Science, for the most part, operates on the basis of trust. Researchers are expected to carry out their work and report their findings honestly. But, sadly, that is not how science always gets done. Reports keep surfacing from various countries about work being plagiarised, results which were doctored and data fabricated. Scientific misconduct is scourge afflicting the field of science, unfortunately with little impact in developing countries like India especially in health (...) care services. A recent survey and a meta-analysis suggest that the few cases that do float up represents only tip of a large iceberg. This paper therefore highlights reasons for misconduct with steps that can be taken to reduce misconduct. Also the paper throws light on Indian scenario in relation to misconduct. (shrink)

In the collectivist culture of India, family occupies a central place in organizing social and personal lives of the people. However, the forces of industrialization and urbanization are changing the life style and leading to reprioritization of values. Against this backdrop this study examined the pattern of actual and desired family values in the context of ecology, family type and generation. The sample was drawn from urban, semi-urban and rural areas in central India representing parent–child pairs belonging to joint and (...) nuclear families. Using an indigenously developed measure of family values the study revealed that ecological setting and generation significantly influenced the family value of positive interaction. The type of family emerged as a significant factor for three major values, that is, social order, manners and helping. The interaction of ecology, family type and generation were significant for the values of social order and helping. In general, the type of family and ecological setting yielded major influence in shaping values. The implications of the findings for parenting are discussed. (shrink)

This paper delves into a two-agent scheduling problem in which two agents are competing for a single resource. Each agent has a set of jobs to be processed by a single machine. The processing time, release time, weight, and the due dates of each job are known in advance. Both agents have their objectives, which are conflicting in nature. The first agent tries to minimize the total completion time, while the second agent tries to minimize the number of tardy jobs. (...) The two agents’ scheduling problem, an NP-hard problem, has a wide variety of applications ranging from the manufacturing industry to the cloud computing service provider. Due to the wide applicability, each variation of the problem requires a different algorithm, adapted according to the user’s requirements. This paper provides mathematical models, heuristic algorithms, and two nature-based metaheuristic algorithms to solve the problem. The algorithm’s performance was gauged against the optimal solution obtained from the AMPL-CPLEX solver for both solution quality and computational time. The outlined metaheuristics produce a solution that is comparable with a short computational time. The proposed metaheuristics even have a better solution than the CPLEX solver for medium-size problems, whereas the computation times are much less than the CPLEX solvers. (shrink)

This book is an essential guide for veterinarians, veterinary faculty and policymakers for understanding the core competencies of a fresh veterinarian. The book briefly covers competencies in preclinical, paraclinical, and clinical subjects including anatomy, physiology, biochemistry, veterinary jurisprudence, animal management & welfare including nutrition and breeding, infectious and non-infectious diseases, disease epidemiology, diagnosis, and treatment, prevention, control and zoonoses, surgical and other clinical interventions. The book further includes other competencies, including biologicals, anti-mortem, and post-mortem inspection, certifications, applied one health aspects, (...) review and analysis of scientific evidence, international trade and regulations, and organization of veterinary services. It also highlights the importance of effective communication, interpersonal skills, record keeping and management of a small veterinary hospital, health informatics, etc. The book breakdowns the must-have competencies of a global veterinarian into different topics and subtopics for easy comprehension and further learning. It enables the professional standard-setting & regulatory bodies and academicians in improved curricula designing and implementation and more importantly tries to bring uniformity in day one veterinary graduates’ competencies globally, enhancing the movement and employability of veterinarians across the world. (shrink)

The paper considers two-agent order acceptance scheduling problems with different scheduling criteria. Two agents have a set of jobs to be processed by a single machine. The processing time and due date of each job are known in advance. In the order accepting scheduling problem, jobs are allowed to be rejected. The objective of the problem is to maximize the net revenue while keeping the weighted number of tardy jobs for the second agent within a predetermined value. A mixed-integer linear (...) programming formulation is provided to obtain the optimal solution. The problem is considered as an NP-hard problem. Therefore, MILP can be used to solve small problem instances optimally. To solve the problem instances with realistic size, heuristic and metaheuristic algorithms have been proposed. A heuristic method is used to determine and secure a quick solution while the metaheuristic based on particle swarm optimization is designed to obtain the near-optimal solution. A numerical experiment is piloted and conducted on the benchmark instances that could be obtained from the literature. The performances of the proposed algorithms are tested through numerical experiments. The proposed PSO can obtain the solution within 0.1% of the optimal solution for problem instances up to 60 jobs. The performance of the proposed PSO is found to be significantly better than the performance of the heuristic. (shrink)

Nowadays, the whole world is facing a pandemic situation in the form of coronavirus diseases. In connection with the spread of COVID-19 confirmed cases and deaths, various researchers have analysed the impact of temperature and humidity on the spread of coronavirus. In this paper, a deep transfer learning-based exhaustive analysis is performed by evaluating the influence of different weather factors, including temperature, sunlight hours, and humidity. To perform all the experiments, two data sets are used: one is taken from Kaggle (...) consists of official COVID-19 case reports and another data set is related to weather. Moreover, COVID-19 data are also tested and validated using deep transfer learning models. From the experimental results, it is shown that the temperature, the wind speed, and the sunlight hours make a significant impact on COVID-19 cases and deaths. However, it is shown that the humidity does not affect coronavirus cases significantly. It is concluded that the convolutional neural network performs better than the competitive model. (shrink)

Jharkhand is a tribal state having approximately 26 percent share of tribal people residing in the state. More than 90 percent of tribal population lives in rural areas. The original inhabitant of this land e.g., tribal peoples and non-tribe indigenous peoples earn their livelihoods in their own traditional ways of agriculture, domestication of cattle, collect minor forest product from their surrounding jungle and wages out themselves as laborers. The sudden spread of Covid-19 snatched away the rice bowl of these peoples (...) as well as the mediums of earning livelihoods; and they had been forced to live a miserable live e.g., hunger and poverty. This paper analyses the socio-economic impacts of Covid-19 on tribals and non-tribe indigenous people’s livelihood during the pandemic. (shrink)

The use of single-use items is now ubiquitous in medical practice. Because of the high costs of these items, the practice of reusing them after sterilisation is also widespread especially in resource-poor economies. However, the ethics of reusing disposable items remain unclear. There are several analogous conditions, which could shed light on the ethics of reuse of disposables. These include the use of restored kidney transplantation and the use of generic drugs etc. The ethical issues include the question of patient (...) safety and the possibility of infection. It is also important to understand the role of informed consent before reuse of disposables. The widespread practice of reuse may bring down high healthcare costs and also reduce the huge amount of hospital waste that is generated. The reuse of disposables can be justified on various grounds including the safety and the cost effectiveness of this practice. (shrink)

Healthcare professionals such as nurses faced a tough time during the pandemic. Despite the personal and professional challenges, they contributed immensely during the pandemic. However, there were variations in nurses’ work engagement during the pandemic. One reason could be their personality, especially neuroticism. Neuroticism represents individuals’ proneness to distress in stressful situations, such as COVID-19. Hence, understanding how and in which conditions neuroticism influences work engagement is crucial. We used the Job Demand-Resource model to test the association between neuroticism and (...) work engagement. As neuroticism represents the stress-proneness of an individual, we further investigated if stress mediates the neuroticism-work engagement link. For the nurses, patient interaction is an integral part of their job. Based on the data collected from the nurses, we tested if contact with patients alleviates the adverse effect of neuroticism on work engagement. During COVID-19, there was an intense need for nursing support. Hence, avoiding duty when society is looking for support might induce a fear of stigmatization among the nurses. We examined if the perceived stigma of duty avoidance would affect the neuroticism-engagement relationship. Our results indicated that higher patient contact alleviated the adverse effect of neuroticism on work engagement. On the other hand, higher fear of stigma exacerbated the adverse effect of neuroticism on work engagement. We further checked the combined effect of beneficiary contact and fear of stigma on neuroticism-work engagement relationships. The findings highlighted the importance of societal factors and policymakers in enhancing nurses’ work engagement. (shrink)

Echoing bell hooks’s discussions on “black rage,” this article explores the politics of “Dalit rage” by juxtaposing some instances of projections of Dalits as an “angry,” “illiberal,” and “intolerant” constituency with examples of anger from Dalit literature. While these projections in “mainstream” media and caste Hindu–dominated civil society narratives often represent them as engulfed in the emotive states marked by anger, intolerance, and impatience, the instances from Dalit literature archive a “Dalit rage” that demands to be dissociated from the Nietzschean (...) category of ressentiment. Through B. R. Ambedkar’s readings of Nietzsche in Philosophy of Hinduism and Nietzsche’s readings of Manu’s Manavadharmashastra in Twilight of the Idols, this article draws a fine line of differentiation between Nietzsche’s contempt for ressentiment and Manu’s disdain for anger. “Dalit rage” occupies a distinctly different thymotic space and articulates a Dalit predicament that exploits rage as a marker of protest, resistance, and caste-ridden social conflicts. This article shows why we cannot bracket Nietzsche’s contempt for ressentiment with Manu’s demands of the sudras (and, in extension, other “lower castes”/Dalits) to be “meek” by exploring Manu’s perpetuation and legitimization of the varna order through a “morality of breeding” and Nietzsche’s more wholesale rejection of morality as he deems it a pia fraus (moral fraud). Thus this “Dalit rage” offers us a repository of the limits of a liberal democracy and enables an Ambedkarite reading of Nietzsche whose project of constructing ubermensch is markedly different from Manu’s “morality of taming” through a “morality of breeding.”. (shrink)

Interleukin‐1 receptor‐associated kinase‐1 (IRAK1) is linked to the pathogenesis of atherosclerosis; however, its role in macrophage foam cell formation is not known. Therefore, the present study investigated the role of IRAK1 in lipid uptake, biosynthesis, and efflux in THP‐1 derived macrophages and human monocyte‐derived macrophages (HMDMs). Ox‐LDL (40 μg/mL, 15 minutes–48 hours) treatment induced time‐dependent increase in IRAK1, IRAK4, and Stat1 activation in THP‐1 derived macrophages. IRAK1/4 inhibitor (INH) or IRAK1 siRNA significantly attenuated cholesterol accumulation, DiI‐Ox‐LDL binding, and uptake while (...) cholesterol efflux to apoAI and HDL was enhanced in THP‐1 derived macrophages and HMDMs. Ox‐LDL treatment significantly increased the mRNA expression of CD36, LOX‐1, SR‐A, ABCA1, ABCG1, Caveolin‐1, CYP27A1 while that of SR‐BI was decreased. IRAK1/4 inhibition or IRAK1 knockdown, however, attenuated Ox‐LDL‐induced CD36 expression; augmented ABCA1 and ABCG1 expression while expression of others was unaffected in THP‐1 derived macrophages and HMDMs. Moreover, IRAK1/4 inhibition had no significant effect on genes involved in lipid biosynthesis. In IRAK1/4 INH pre‐treated THP‐1 derived macrophages Ox‐LDL‐induced Stat1 phosphorylation and its binding to CD36 promoter was significantly attenuated while LXRα expression and its binding to the ABCA1/ABCG1 locus, NFATc2 activation and its binding to ABCA1 locus was enhanced. The present study thus demonstrates that IRAK regulates lipid accumulation by modulating CD36‐mediated uptake and ABCA1‐, ABCG1‐dependent cholesterol efflux. Therefore, IRAK1 can be a potential target for preventing macrophage foam cell formation. (shrink)

This comprehensive analysis dives deep into the intricate interplay between artificial intelligence (AI) and human agency, examining the remarkable capabilities and inherent limitations of large language models (LLMs) such as GPT-3 and ChatGPT. The paper traces the complex trajectory of AI's evolution, highlighting its operation based on statistical pattern recognition, devoid of self-consciousness or innate comprehension. As AI permeates multiple spheres of human life, it raises substantial ethical, legal, and societal concerns that demand immediate attention and deliberation. The metaphorical illustration (...) of humans as “shepherds” of AI, coupled with a thought-provoking examination of “agency without intelligence,” engenders deep reflections on the future of human-AI interplay and the associated philosophical, ethical, and practical ramifications. The paper further elucidates critical challenges associated with AI, such as ethical dilemmas, “agency without intelligence,” the role of human oversight, and the environmental impact of AI technologies. In the pursuit of solutions, the paper maps prospective directions, emphasizing the need for robust AI policies, improved AI literacy, sustainable AI practices, and a continued dialogue on the multifaceted issues surrounding AI. Through a holistic exploration of AI, this paper underlines the necessity for a multidisciplinary, collaborative approach to chart an ethical, beneficial, and sustainable AI future, enabling society to harness the potential of AI responsibly while mitigating the associated risks. (shrink)

On Buddhism, and on the life and philosophy of Gautama Buddha; includes contributed articles.

section 1. Reason, language, and the self -- section 2. Law, emergency, and exception -- section 3. Terrorism as a paradigm of (in)security -- section 4. Terrorism and the crisis of the political.

Martha C. Nussbaum, Not For Profit: Why Democracy Needs the Humanities, 2012, Princeton and Oxford, MA: Princeton University Press, pp. 184, $15, ISBN: 978-0-691-15448-0.

would suspect him of murdering them and would not spare him. So he too killed himself. Gods were very much disturbed by this sad incident and realized the ...

China visit was the most tempestuous of all his foreign trips. He met with organised hostility from the members of the Communist Party and was labelled as a reactionary and ideologically dangerous.

COVID-19 forced lockdown in India, leading to the loss of job, crisis of food, and other financial catastrophes that led to the exodus migration of internal migrant workers, operating in the private sector, back to their homes. Unavailability of transport facilities led to an inflicted need to walk back to homes barefooted without lack of any other crucial resources on the way. The woeful state of internal migrant workers walking back, with all their stuff on their back, holding their children, (...) was trending on social media worldwide. Their problem continued even after reaching home, including misbehavior of villagers, indifferent mannerism of family members toward them, inability to fulfill family responsibility, and financial crisis, which led to stress, fear, and trauma for these internal migrant workers. The present paper aimed to assess the idiosyncratic stressors of internal migrant workers throughout the pandemic era and their responses toward those problems, which helped them cope with it. In-depth semistructured telephonic interviews were conducted with 25 internal migrant workers who were working in different cities in India before lockdown. The analyses revealed that multiple stressors include financial crisis, unavailability of food, inability to continue education, inability to pay house rent, lack of support from neighbors and family, and other psychological stressors that affected them. However, they also tried multiple strategies to deal with the problems, including a cognitive appraisal of the problem and making oneself psychologically competent to deal with the situation. Social support of family and friends played a vital role in enhancing hardiness and increasing the level of happiness at scarce times. At the same time, some of them could not deal with stressors and opted for psychiatric help to manage the physical symptoms of stress. (shrink)

This paper is an attempt to discuss how ethics associated with social research in connection with the collection of authentic and reliable data, use of appropriate data process and impartial data analysis for preparing an acceptable research report. Ethics is closely related to moral integrity, and values associated with appropriate methods and techniques applied for collection of reliable and authentic information that ensure the trust worthy research findings. This paper is based on secondary data collected through reviewing the relevant literatures. (...) This paper examine to what extent the research findings contribute to the knowledge of planners and policy makers in formulating the appropriate policy and at the same time preparing effective as well as pragmatic planning based on the quality of research findings and finally thus may affect on development. (shrink)

Gluten ataxia is a rare immune-mediated neurological disorder caused by the ingestion of gluten. The diagnosis is not straightforward as antibodies are present in only up to 38% of patients, but often at lower titers. The symptoms of ataxia may be mild at the onset but lead to permanent damage if remain untreated. It is characterized by damage to the cerebellum however, the pathophysiology of the disease is not clearly understood. The present study investigated the neurochemical profile of vermis and (...) right cerebellum and structural changes in various brain regions of patients with gluten ataxia and compared it with healthy controls. Volumetric 3-D T1 and T1-weighted magnetic resonance imaging in the three planes of the whole brain and single-voxel 1H- magnetic resonance spectroscopy of the vermis and right cerebellum were acquired on 3 T human MR scanner. The metabolite concentrations were estimated using LC Model while brain volumes were estimated using the online tool volBrain pipeline and CERES and corrected for partial volumes. The levels of neuro-metabolites were found to be significantly lower in vermis, while N-acetyl aspartate + N-acetyl aspartate glutamate and glycerophosphocholine + phosphocholine was lower in cerebellum regions in the patients with gluten ataxia compared to healthy controls. A significant reduction in the white matter of ; reduction in the volumes of cerebellum lobe and thalamus while lateral ventricles were increased in the patients with gluten ataxia compared to healthy controls. The reduced neuronal metabolites along with structural changes in the brain suggested neuronal degeneration in the patients with gluten ataxia. Our preliminary findings may be useful in understanding the gluten-induced cerebral damage and indicated that MRI and MRS may serve as a non-invasive useful tool in the early diagnosis, thereby enabling better management of these patients. (shrink)

The economic impacts of the Green Revolution have been studied widely, but not its social-cultural effects on different farming communities. The adoption of high yielding varieties (HYVs) of rice changed the nature of rice farming in the two West Bengal villages of Padulara and Naigachi. The villages present an interesting contrast of socio-economic and cultural change due to the differences in the level of adoption of agricultural technologies. This study documents the social and cultural impacts of agricultural technology adoption, specifically (...) the effect on rituals which guided the stages of traditional rice farming and communal life. Agricultural rituals are being modified to suit the processes of modern rice farming, while family rituals are holding strong. The study also shows the evolving nature of rituals as it reflects new found wealth, gender roles, and economic class in these villages. (shrink)

Contributed articles on Nimbarka Sect and the contribution of Swami Dhanañjayadāsa, Hindu philosopher and scholar belonging to the sect; papers presented at the seminar, held in Uttara Cabbiśa Paragaṇā, India in 2001 and organized by Sukhchar Kathiababa Ashram; centenary commemorative volume in honor of Swami Dhanañjayadāsa.

Background: This article aims to review research manuscripts in the past 5 years that focus on the effects of debt on depression, anxiety, stress, or suicide ideation in Asian countries.Methods: A search for literature based on the PRISMA guidelines was conducted on Medline, PubMed, Web of Science, Scopus, and ScienceDirect, resulting in nine manuscripts meeting inclusion criteria. The studies were conducted in Thailand, Korea, Singapore, Pakistan, India, Cambodia, and China.Results: The findings of the studies show that there is evidence to (...) support that being in debt is related to Asian participants experiencing depression, anxiety, stress, or suicide ideation. However, the studies are limited to quantitative studies only. The definition of debt is also unclear in most manuscripts. Few manuscripts also examined how other factors influence the relationship between debt and mental illness.Conclusion: There are limited studies on the psychological effects of debt on the Asian population. Future studies should focus on the relationship between debt and psychological well-being among this population. (shrink)