6 research outputs found
Psychometric properties of the Hindi version of the Fear-Avoidance Beliefs Questionnaire in patients with chronic non-specific low back pain
No full textStudy Design. Prospective cohort study.Objective. To translate, adapt, and establish psychometric properties of the Fear-Avoidance Beliefs Questionnaire (FABQ) for Hindi-speaking patients with chronic non-specific low back pain.Summary of Background Data. The FABQ is a patient-reported measure to assess beliefs regarding how physical activity and work are influenced based on fear related to low back pain.Methods. Standardized translation guidelines were implemented to confirm Hindi-version of the FABQ (FABQ-H). A cross-sectional study design was utilized. Construct validity analysis included factor analysis of the FABQ and use of Pearson correlation coefficients to report convergent and divergent validity. Reliability assessment included calculation of intraclass correlation coefficient (ICC) and Cronbach alpha for internal consistency. Outcome measures consisted of Numeric Rating Scale (NRS), Roland Morris Disability Questionnaire (RMDQ) Hindi, and Tampa Scale of Kinesiophobia (TSK).Results. In total, 100 patients with chronic non-specific low back pain were recruited, with a mean age of 36.89 (+/- 7.78). Factor analysis revealed a three-factor structure of the FABQ, which consisted of subscales FABQ Physical activity, FABQ Work, and FABQ Work prognosis. Convergent validity analysis demonstrated a moderate correlation between FABQ-H and TSK (r = 0.413). Divergent validity analysis displayed a moderate correlation between FABQ-H and NRS (r = 0.362) and RMDQ Hindi (r = 0.399). ICC value for the FABQ-H was observed as 0.938 indicating high significance for test-retest reliability. Cronbach alpha for the FABQ-H was recorded as 0.806 demonstrating high internal consistency.Conclusion. A successful translation and adaptation of the Hindi version of FABQ is reported in this study. The three-factored FABQ-H exhibited satisfactory construct validity, test-retest reliability, and internal consistency. Based on findings of this study, the FABQ-H can be implemented in Hindi-speaking patients with chronic non-specific low back pain (LBP)
Non-platinum metal-organic framework based electro-catalyst for promoting oxygen reduction reaction
No full textSensemaking of Socially-Mediated Crisis Information
No full textIn times of crisis, the human mind is often a voracious information forager. It might not be immediately apparent what one wants or needs, and people frequently look for answers to their most pressing questions and worst fears. In that context, the pandemic has demonstrated that social media sources, like erstwhile Twitter, are a rich medium for data-driven communication between experts and the public. However, as lay users, we must find needles in a haystack to distinguish credible and actionable information signals from the noise. In this work, we leverage the literature on crisis communication to propose an AI-driven sensemaking model that bridges the gap between what people seek and what they need during a crisis. Our model learns to contrast social media messages concerning expert guidance with subjective opinion and enables semantic interpretation of message characteristics based on the communicative intent of the message author. We provide examples from our tweet collection and present a hypothetical social media usage scenario to demonstrate the efficacy of our proposed model
Hypothermia for moderate or severe neonatal encephalopathy in low-income and middle-income countries (HELIX): a randomised controlled trial in India, Sri Lanka, and Bangladesh
No full textCopyright (c) 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
Modeling Virus Coinfection to Inform Management of Maize Lethal Necrosis in Kenya.
Get PDFMaize lethal necrosis (MLN) has emerged as a serious threat to food security in sub-Saharan Africa. MLN is caused by coinfection with two viruses, Maize chlorotic mottle virus and a potyvirus, often Sugarcane mosaic virus. To better understand the dynamics of MLN and to provide insight into disease management, we modeled the spread of the viruses causing MLN within and between growing seasons. The model allows for transmission via vectors, soil, and seed, as well as exogenous sources of infection. Following model parameterization, we predict how management affects disease prevalence and crop performance over multiple seasons. Resource-rich farmers with large holdings can achieve good control by combining clean seed and insect control. However, crop rotation is often required to effect full control. Resource-poor farmers with smaller holdings must rely on rotation and roguing, and achieve more limited control. For both types of farmer, unless management is synchronized over large areas, exogenous sources of infection can thwart control. As well as providing practical guidance, our modeling framework is potentially informative for other cropping systems in which coinfection has devastating effects. Our work also emphasizes how mathematical modeling can inform management of an emerging disease even when epidemiological information remains scanty. [Formula: see text] Copyright © 2017 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license
Proceedings of National Conference on Relevance of Engineering and Science for Environment and Society
Get PDFThis conference proceedings contains articles on the various research ideas of the academic community and practitioners presented at the National Conference on Relevance of Engineering and Science for Environment and Society (R{ES}2 2021). R{ES}2 2021 was organized by Shri Pandurang Pratishthan’s, Karmayogi Engineering College, Shelve, Pandharpur, India on July 25th, 2021.
Conference Title: National Conference on Relevance of Engineering and Science for Environment and SocietyConference Acronym: R{ES}2 2021Conference Date: 25 July 2021Conference Location: Online (Virtual Mode)Conference Organizers: Shri Pandurang Pratishthan’s, Karmayogi Engineering College, Shelve, Pandharpur, India
