963 research outputs found

    Non-Invasive Induction Link Model for Implantable Biomedical Microsystems: Pacemaker to Monitor Arrhythmic Patients in Body Area Networks

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    In this paper, a non-invasive inductive link model for an Implantable Biomedical Microsystems (IBMs) such as, a pacemaker to monitor Arrhythmic Patients (APs) in Body Area Networks (BANs) is proposed. The model acts as a driving source to keep the batteries charged, inside a device called, pacemaker. The device monitors any drift from natural human heart beats, a condition of arrythmia and also in turn, produces electrical pulses that create forced rhythms that, matches with the original normal heart rhythms. It constantly sends a medical report to the health center to keep the medical personnel aware of the patient's conditions and let them handle any critical condition, before it actually happens. Two equivalent models are compared by carrying the simulations, based on the parameters of voltage gain and link efficiency. Results depict that the series tuned primary and parallel tuned secondary circuit achieves the best results for both the parameters, keeping in view the constraint of coupling co-efficient (k), which should be less than a value \emph{0.45} as, desirable for the safety of body tissues.Comment: IEEE 8th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA'13), Compiegne, Franc

    Numerical study of Williamson nano fluid flow in an asymmetric channel

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    AbstractThis article investigates with the peristaltic flow of a Williamson nano fluid in an asymmetric channel. The related modeling of the problem has been done in Cartesian coordinate system. Problem has been simplified with the reliable assumptions i.e. long wave length and small Reynolds number. Numerical solutions have been evaluated for stream function, velocity profile, temperature profile, nano particle phenomena and pressure rise. Graphical results have been presented and discussed for various involved parameters

    Psychosocial factors of deliberate self-harm in Afghanistan: A hospital based, matched case-control study

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    Background: Deliberate self-harm is not only a major global public health problem but also an important index of psychological distress and a risk factor for suicide.Aims: We aimed to determine the psychosocial risk factors for deliberate self-harm in patients aged ≥ 16 years presenting to tertiary care hospitals in Kabul, Afghanistan.Methods: A matched case-control study was conducted from February 2015 to May 2015. We recruited 185 cases (patients with deliberate self-harm) and 555 age- and sex-matched controls (patients with general medical conditions) from 4 tertiary care hospitals in Kabul. We developed a questionnaire to record the sociodemographic characteristics of the participants, history of domestic violence, drug abuse and details about the act of deliberate self-harm, including the methods used. To assess depression and anxiety, we used the WHO self-reporting questionnaire (SRQ-20). Matched odds ratios with 95% confidence interval using conditional logistic regression were used to determine statistically significant associations between psychosocial factors and deliberate self-harm.Results: Family conflicts, domestic violence, interpersonal arguments and living in extended families were found to be significantly associated with deliberate self-harm.Conclusions: In Afghanistan, deliberate self-harm appears to be predominately related to interpersonal problems and family conflicts. About two-thirds of females and more than half of males scored positive for depression, yet none were receiving treatment for this. These findings have important policy implications for mental health and suicide prevention programmes in the country

    Efficiency of universal barcode gene (Cox1) on morphologically cryptic Mugilidae fishes delineation.

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    An effort was made to assess the utility of 650 bp partial Cytochrome C oxidase subunit I (DNA barcode) gene in delineating the members of taxonomically ambiguous marine fin fishes (Family: Mugilidae). To address the issue we used all the 95 barcode sequences of Mugilidae family available at NCBI (National Centre for Biotechnological Information) along with the barcode data generated from Mugilidae fishes of Parangipettai coastal waters. The average GC content of Mugilidae was found to be 46.46%. Crenimugil crenilabis showed less GC content (44.55%) whereas Liza macrolepis showed high GC content (48.53%) among the mullet species studied. The phylogenetic and genetic distance data showed that Mugil platanus and M. liza represent the continuum of same species. Among the members of family Mugilidae, the genus Mugil might possibly contains more haplotype diversity as revealed by intra-species genetic distance data. Species within genera of Mugilidae family invariably clustered in single clade with high bootstrap value. We conclude that partial COI sequencing (barcoding) in identifying the members of the family and that way has resolved the taxonomic ambiguity among the members of the family Mugilidae

    Understanding heat tolerance in vegetables: Physiological and molecular insights, and contemporary genomic approaches for enhancing heat stress resilience

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    The increasing threat of heat stress in agriculture, fueled by the relentless rise in global temperatures, presents a formidable challenge for vegetable crops. High-temperature stress instigates intricate morphological, anatomical, and physiological changes in vegetables, resulting in a noticeable decline in yield and an overall compromise in quality. Mitigating these challenges necessitates the imperative development of heat-tolerant vegetable varieties, underscoring the need for a nuanced understanding of crop responses to the rigors of high-temperature stress. This comprehensive review systematically explores the multifaceted impacts of heat stress on vegetable crops, spanning morphological traits, physiological processes, and molecular dynamics. Beyond the identification of challenges, the review explores into the intricate adaptive mechanisms employed by vegetables to counteract the stresses imposed by elevated temperatures, besides exploring in detailed how these crops navigate and respond to the physiological disruptions caused by heat stress. Further, it also assesses the efficacy of diverse genomic approaches in the development of heat-tolerant vegetable varieties. In addition, the review explores genomic tools such as genomic selection, transgenic approaches, and genome editing technologies, which hold promise in expediting the development of vegetable varieties endowed with enhanced thermo-tolerance and heightened productivity. By synthesizing insights from diverse scientific realms, the review aspires to provide a comprehensive and integrative perspective on mitigating the adverse impacts of heat stress on vegetable crops, paving the way for sustainable agricultural practices in the face of escalating global temperatures
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