Utilisation of adolescent reproductive and sexual health services in a rural area of West Bengal: A mixed-method study

Introduction: Despite policy actions and strategic efforts for improving the reproductive and sexual health of adolescents by promoting the uptake of adolescent reproductive and sexual health (ARSH) services, the utilisation rate remains significantly low, especially in rural areas of India. This study aimed to assess the utilisation of these services by adolescents in rural West Bengal and its associated determinants. Methods: This mixed-method study was conducted from May to September 2021 in the Gosaba rural block of South 24 Parganas, West Bengal. Quantitative data were collected from 326 adolescents using a pre-tested structured questionnaire. Qualitative data were collected via four focus group discussions among 30 adolescents and key-informant interviews among six healthcare workers. Quantitative data were analysed using SPSS, while qualitative data were analysed thematically. Results: Ninety-six (29.4%) adolescents had utilised ARSH services at least once during adolescence. The factors associated with non-utilisation of ARSH services were younger age, female sex, increasing reproductive health stigma and decreasing parent–adolescent communication related to sexual health. Qualitative exploration revealed that unawareness regarding services, perceived lack of privacy and confidentiality at healthcare facilities and disruption of services post-emergence of the COVID-19 pandemic were some major barriers to ARSH service utilisation. Conclusion: A multi-component strategy, including promotion of adolescent-friendly health clinics, community support interventions associated with motivation and counselling of parents regarding the importance of adolescent reproductive health, is needed to improve the utilisation of ARSH services. Necessary steps to correct the deficiencies at the facility level should also be prioritised

Determinants of Modern Contraceptive Usage among Married Women: A Mixed-Methods Study in a Rural Community of India

Objective: A woman’s multifaceted feelings, knowledge, and perceptions of their intimate relations greatly influence their contraceptive behavior. In addition, women empowerment has been increasingly recognized as a key factor in family planning and reproductive health outcomes. This study aimed to assess modern contraceptive usage and its determinants among currently married women of reproductive-age (WRA) in rural Bengal. Materials and Methods: This mixed-method study was conducted in a rural area of Hooghly District, West Bengal from April to September 2021. The quantitative strand of the study was conducted by interviewing 210 currently married WRA. The qualitative strand was conducted via focussed group discussions among husbands/mothersin-law and in-depth interviews with healthcare workers. SPSS software was utilized for quantitative data analysis and factors associated with contraceptive usage were analyzed using logistic regression models. Qualitative data were analyzed thematically. Result: Currently 114 (54.8%) study participants were using modern contraceptive methods. Education (aOR=7.65, 95% CI=1.85-31.67), empowerment through freedom from family domination (aOR=5.56, 95% CI=1.30-23.66), attitude on contraception (aOR=4.67, 95% CI=1.26-17.19), and family planning counselling (aOR=4.41, 95% CI=1.12-17.33) were found to be significantly associated with modern contraceptive usage. Lack of couple counselling, family support, and knowledge gap was identified as the major barriers to contraceptive usage. Conclusion: Since a woman’s decision-making ability significantly affects their sexual and reproductive health outcomes, effective measures should be undertaken to empower them by creating awareness regarding their rights and freedom to make strategic life choices. Couple counselling should be prioritized to enhance male involvement and eliminate perceived barriers

Chronic musculoskeletal pain among elderly individuals in a rural area of West Bengal: A mixed-method study

Introduction: The high prevalence among elderly individuals and potential adverse impact on their overall life quality make chronic musculoskeletal pain a significant public health concern. Chronic musculoskeletal pain is an important cause of self-medication, which must be addressed to avoid various side effects and improve elderly health. This study aimed to determine the prevalence of chronic musculoskeletal pain and its associated factors among individuals (age ≥60 years) in rural West Bengal and explore their perspectives and perceived barriers regarding pain and its management. Methods: This mixed-method study was conducted in rural West Bengal from December 2021 to June 2022. The quantitative strand was conducted by interviewing 255 elderly participants (age ≥60 years) using a structured questionnaire. The qualitative strand was conducted via in-depth interviews of 10 patients with chronic pain. Quantitative data were analyzed using SPSS version 16, and chronic pain-related factors were analyzed using logistic regression models. Qualitative data were analyzed thematically. Results: Among the participants, 56.8% reported chronic musculoskeletal pain. The most frequently affected site was the knee joint. Comorbidity (adjusted odds ratio [aOR]=7.47, 95% confidence interval [CI]=3.2–17.5), age (aOR=5.16, 95% CI=2.2–13.5), depression (aOR=2.96, 95% CI=1.2–6.7) and over-the-counter drug usage (aOR=2.51, 95% CI=1.1–6.4) were significantly associated with chronic pain. Analgesic dependency, lack of motivation to adopt lifestyle modifications, lack of knowledge on analgesic side effects were considered pain management barriers. Conclusion: Managing comorbidities, providing mental support, generating awareness of analgesic side effects, strengthening healthcare facilities should be prioritized for holistic chronic musculoskeletal pain management

Discutindo a educação ambiental no cotidiano escolar: desenvolvimento de projetos na escola formação inicial e continuada de professores

A presente pesquisa buscou discutir como a Educação Ambiental (EA) vem sendo trabalhada, no Ensino Fundamental e como os docentes desta escola compreendem e vem inserindo a EA no cotidiano escolar., em uma escola estadual do município de Tangará da Serra/MT, Brasil. Para tanto, realizou-se entrevistas com os professores que fazem parte de um projeto interdisciplinar de EA na escola pesquisada. Verificou-se que o projeto da escola não vem conseguindo alcançar os objetivos propostos por: desconhecimento do mesmo, pelos professores; formação deficiente dos professores, não entendimento da EA como processo de ensino-aprendizagem, falta de recursos didáticos, planejamento inadequado das atividades. A partir dessa constatação, procurou-se debater a impossibilidade de tratar do tema fora do trabalho interdisciplinar, bem como, e principalmente, a importância de um estudo mais aprofundado de EA, vinculando teoria e prática, tanto na formação docente, como em projetos escolares, a fim de fugir do tradicional vínculo “EA e ecologia, lixo e horta”.Facultad de Humanidades y Ciencias de la Educació

Detection of functional and topological modules in protein interaction networks

Mapping the complete set of protein and gene interactions in the human cell has been a goal of the biological community for nearly two decades, since the first human genome was sequenced. To this end, computational approaches have been studied in depth to allow functional annotation of protein interactions. In this project, we explored the potential of using four common module detection algorithms - stochastic block model, Louvain method, modified Louvain (incremental Louvain) method and link community - in order to detect functional modules of for protein interaction networks. We implemented these algorithms in a Cytoscape application for users to run on their respective networks. Using this application, we conducted a comparative study of the algorithms to understand their applicability in protein function annotation and determine how close topological modules of protein-interaction networks are to their functional modules.Bachelor of Engineering (Computer Engineering

Composite mathematical modeling of calcium signaling behind neuronal cell death in Alzheimer’s disease

Background: Alzheimer’s disease (AD) is a progressive neurological disorder, recognized as the most common cause of dementia affecting people aged 65 and above. AD is characterized by an increase in amyloid metabolism, and by the misfolding and deposition of β-amyloid oligomers in and around neurons in the brain. These processes remodel the calcium signaling mechanism in neurons, leading to cell death via apoptosis. Despite accumulating knowledge about the biological processes underlying AD, mathematical models to date are restricted to depicting only a small portion of the pathology. Results: Here, we integrated multiple mathematical models to analyze and understand the relationship among amyloid depositions, calcium signaling and mitochondrial permeability transition pore (PTP) related cell apoptosis in AD. The model was used to simulate calcium dynamics in the absence and presence of AD. In the absence of AD, i.e. without β-amyloid deposition, mitochondrial and cytosolic calcium level remains in the low resting concentration. However, our in silico simulation of the presence of AD with the β-amyloid deposition, shows an increase in the entry of calcium ions into the cell and dysregulation of Ca 2+ channel receptors on the Endoplasmic Reticulum. This composite model enabled us to make simulation that is not possible to measure experimentally. Conclusions: Our mathematical model depicting the mechanisms affecting calcium signaling in neurons can help understand AD at the systems level and has potential for diagnostic and therapeutic applications.MOE (Min. of Education, S’pore)Published versio

Additional file 1 of Composite mathematical modeling of calcium signaling behind neuronal cell death in Alzheimer’s disease

This file contains the parameters, initial conditions and equations used to generate the results in this paper. It can be run using XPP [19]. (ODE 8.18 kb

scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data

10.1186/s12859-021-04028-4BMC Bioinformatics22118

DUBStepR is a scalable correlation-based feature selection method for accurately clustering single-cell data

10.1038/s41467-021-26085-2Nature Communications121584