Impact of Spirituality on Stress: With the Special Reference of Engineering Students of Indian Institute of Technology

Spirituality is to ‘know’ who you are and the knowledge of yourself understanding the highest spiritual qualities and attributes which are love, peace, purity and bliss. Spirituality is a resilient and controversial variable that has evidenced an ability to help people better cope with stress.  This empirical research paper attempts to identify the relation between spirituality and stress in the student life. In student life, meaning of the spirituality is different and beyond from the prayer, religion, etc., this paper covered the factors which affect the students and engender the stress.  Four types of indicators are used for measurement of stress such as behavioural indicators, emotional indicator, sleep indicator and personal habits of students. Hypothesis said there is no relation between spirituality, stress and academic life of students. Spirituality is high then stress will be low or if spirituality is low then stress will be high. Data is collected through the questionnaire based on spirituality index and stress index. 75 students have taken as participants to find out the level of spirituality and stress in scale and correlation is used for determine the relation between spirituality and stress. The result showed that there is negative correlation (r = -0.519) between the stress and spirituality of engineering students. Stress indicators showed that emotional indicators and physical indicators are high in girls than boys. Keywords: Spirituality, faith, stress, supreme power, engineering students

Relation-Theoretic Contraction Principle In Metric Spaces Using Multiplicative Contraction

Alam and Imdad have presented a novel application of the Banach contraction principle on a complete metric spaces with a binary relation. We have extended the concept of binary relation with the multiplicative contraction in a complete metric spaces. We have also included corollary to demonstrate our results

Experimental Models on Diabetes: A Comprehensive Review

Present world scenario globally, upto 2010, around 285 million people suffering from Type 2 diabetes making up about 90% of the cases. According to statistics, by 2030, this number is estimated to almost double. Diabetes mellitus occurs throughout the world, but is more common (especially Type 2) in the more developed countries. The greatest increase in prevalence is, however, expected to occur in Asia and Africa, where most patients will probably be found by 2030. The aim of this review is to summarize several studies done for the discovery of new drug using different animal models for in vivo studies (chemical, surgical, and genetic models ) & in vitro models (glucose uptake, pancreatic islet cell lines and  insulin secretion)

Biochemical variability of eggplant peel among Indian cultivars

The vegetable production comes with a considerable amount of putrescible biowastes. Nowadays, biowaste production and its underutilizationis perceived as the primary concerns, due to the economic and environmental expenses associated with its disposal. Eggplant peel is discarded sometimes as a biowaste that leads to the substantial losses of organic substances which often have very high levels of crucial bioactive compounds. Here, we determined the biochemical composition of the eggplant peel of the important Indian eggplant cultivars. A high percentage of dry matter content, as well as high fruit phenolics, were determined in the eggplant peel. Interestingly a robust negative correlation was determined between the peel chlorogenic acid content and ascorbic acid content. Overall, this study highlights the biochemical composition of eggplant peel and this information can be targeted on the potential usage of eggplant peel as a natural component for industrial product formulation

Biochemical variability of eggplant peel among Indian cultivars

634-637The vegetable production comes with a considerable amount of putrescible biowastes. Nowadays, biowaste production and its underutilizationis perceived as the primary concerns, due to the economic and environmental expenses associated with its disposal. Eggplant peel is discarded sometimes as a biowaste that leads to the substantial losses of organic substances which often have very high levels of crucial bioactive compounds. Here, we determined the biochemical composition of the eggplant peel of the important Indian eggplant cultivars. A high percentage of dry matter content, as well as high fruit phenolics, were determined in the eggplant peel. Interestingly a robust negative correlation was determined between the peel chlorogenic acid content and ascorbic acid content. Overall, this study highlights the biochemical composition of eggplant peel and this information can be targeted on the potential usage of eggplant peel as a natural component for industrial product formulation

Biosorption Potential of Alkali Pretreated Fungal Biomass for the Removal and Detoxification of Lead Metal Ions

636-639Nowadays biosorption technology is primarily used as a potent tool for solving the environmental pollution, as compared to conventional methods because of its low cost, and environmental safety. It is not associated with secondary pollutions during its operation. The present study is based on checking the capacity of live and pretreated biomass of Aspergillus species for the biosorption of lead metal ions. Among the five species tested, the best results were obtained for A. niger. While the minimum and maximum removals of lead metal ion by live A. niger biomass were 3.84 and 16.42 mg/g at 2 mM and 9 mM concentration respectively, it was increased to 31.25 and 48.44 mg/g respectively at same base concentration for pretreated biomass. Overall, it was observed that pretreated alkali biomass of test fungal species is a potent biosorbent for the metal ions

Prevalence and Factors Associated with Occupational Musculoskeletal Disorders among the Nurses of a Tertiary Care Center of Nepal

Introduction: Musculoskeletal disorders (MSDs) are injuries or pain in the human musculoskeletal system which could lead to temporary or permanent impairments. The nature of nursing jobs makes nurses vulnerable to MSDs. This study aimed to assess the prevalence and potential risk factors associated with MSDs among nurses. Methods: In between March to June 2021, a cross-sectional study was conducted among 165 nurses using self-administered questionnaires. A standardized Nordic Questionnaire was used to measure MSDs. Pearson’s chi-square test and binary logistic regression at a 5% level of significance were performed to identify factors associated with upper extremities and spinal musculoskeletal disorders (UMSD) and lower extremities musculoskeletal disorders (LMSD). Variables associated with UMSD and LMSD in bivariate analysis were subjected to multiple logistic regression.  Results: The prevalence of UMSD and LMSD experienced by nurses was 86.1% (95% CI: 79.4%-90.9%) and 66.1% (95% CI: 58.9%-74.3%), respectively. Among several factors, working in same position for long periods (AOR: 4.16, 95% CI: 1.2-13.4), not receiving training in injury prevention programs (AOR: 3.15, 95% CI: 1.0-9.2), not enough rest breaks during the day (AOR: 4.65, 95% CI: 1.3-15.9) and moderate to higher job stress (AOR: 3.62, 95% CI: 1.2-10.8) were found to be significantly associated with UMSD. Not having enough rest breaks during the day (AOR: 2.19, 95% CI: 1.0-4.7) was significantly associated with LMSD. Conclusion: Higher prevalence of MSDs among nurses is a serious concern that threatens individual health as well as the overall healthcare system. Sensitization and capacity enhancement programs on the issue could prevent MSDs among nurses

Genomic data analysis workflows for tumors from patient-derived xenografts (PDXs): challenges and guidelines.

BACKGROUND: Patient-derived xenograft (PDX) models are in vivo models of human cancer that have been used for translational cancer research and therapy selection for individual patients. The Jackson Laboratory (JAX) PDX resource comprises 455 models originating from 34 different primary sites (as of 05/08/2019). The models undergo rigorous quality control and are genomically characterized to identify somatic mutations, copy number alterations, and transcriptional profiles. Bioinformatics workflows for analyzing genomic data obtained from human tumors engrafted in a mouse host (i.e., Patient-Derived Xenografts; PDXs) must address challenges such as discriminating between mouse and human sequence reads and accurately identifying somatic mutations and copy number alterations when paired non-tumor DNA from the patient is not available for comparison. RESULTS: We report here data analysis workflows and guidelines that address these challenges and achieve reliable identification of somatic mutations, copy number alterations, and transcriptomic profiles of tumors from PDX models that lack genomic data from paired non-tumor tissue for comparison. Our workflows incorporate commonly used software and public databases but are tailored to address the specific challenges of PDX genomics data analysis through parameter tuning and customized data filters and result in improved accuracy for the detection of somatic alterations in PDX models. We also report a gene expression-based classifier that can identify EBV-transformed tumors. We validated our analytical approaches using data simulations and demonstrated the overall concordance of the genomic properties of xenograft tumors with data from primary human tumors in The Cancer Genome Atlas (TCGA). CONCLUSIONS: The analysis workflows that we have developed to accurately predict somatic profiles of tumors from PDX models that lack normal tissue for comparison enable the identification of the key oncogenic genomic and expression signatures to support model selection and/or biomarker development in therapeutic studies. A reference implementation of our analysis recommendations is available at https://github.com/TheJacksonLaboratory/PDX-Analysis-Workflows

Climate anxiety, wellbeing and pro-environmental action: correlates of negative emotional responses to climate change in 32 countries

This study explored the correlates of climate anxiety in a diverse range of national contexts. We analysed cross-sectional data gathered in 32 countries (N = 12,246). Our results show that climate anxiety is positively related to rate of exposure to information about climate change impacts, the amount of attention people pay to climate change information, and perceived descriptive norms about emotional responding to climate change. Climate anxiety was also positively linked to pro-environmental behaviours and negatively linked to mental wellbeing. Notably, climate anxiety had a significant inverse association with mental wellbeing in 31 out of 32 countries. In contrast, it had a significant association with pro-environmental behaviour in 24 countries, and with environmental activism in 12 countries. Our findings highlight contextual boundaries to engagement in environmental action as an antidote to climate anxiety, and the broad international significance of considering negative climate-related emotions as a plausible threat to wellbeing

Climate anxiety, wellbeing and pro-environmental action: correlates of negative emotional responses to climate change in 32 countries

This study explored the correlates of climate anxiety in a diverse range of national contexts. We analysed cross-sectional data gathered in 32 countries (N = 12,246). Our results show that climate anxiety is positively related to rate of exposure to information about climate change impacts, the amount of attention people pay to climate change information, and perceived descriptive norms about emotional responding to climate change. Climate anxiety was also positively linked to pro-environmental behaviours and negatively linked to mental wellbeing. Notably, climate anxiety had a significant inverse association with mental wellbeing in 31 out of 32 countries. In contrast, it had a significant association with pro-environmental behaviour in 24 countries, and with environmental activism in 12 countries. Our findings highlight contextual boundaries to engagement in environmental action as an antidote to climate anxiety, and the broad international significance of considering negative climate-related emotions as a plausible threat to wellbeing.publishedVersio