Context: The coexistence of tuberculosis (TB) and mental disorder presents a daunting public health challenge. Studies suggest that TB patients often experience co-morbid mental health problems, highlighting a dual burden of illness. However, due to limited research in Gujarat, we cannot draw definitive conclusions or develop targeted mental health interventions for this population.
View Article and Find Full Text PDFIn oxygen-deprived conditions, cells respond by activating adaptive mechanisms to bolster their survival and protect tissue integrity. A key player in this process is the HIF-1α signaling cascade, meticulously regulated by Prolyl Hydroxylase Domain 2 (PHD2), which orchestrates cellular responses to varying oxygen levels. The primary aim of this investigation is to utilize gut siderophores as inhibitors of PHD2 in ischemic conditions.
View Article and Find Full Text PDFObjective: Patients with drug-resistant epilepsy (DRE) are often referred for phase II evaluation with stereo-electroencephalography (SEEG) to identify a seizure onset zone for guiding definitive treatment. For patients without a focal seizure onset zone, neuromodulation targeting the thalamic nuclei-specifically the centromedian nucleus, anterior nucleus of the thalamus, and pulvinar nucleus-may be considered. Currently, thalamic nuclei selection is based mainly on the location of seizure onset, without a detailed evaluation of their network involvement.
View Article and Find Full Text PDFPlant glucanases, including potato glucanase, are pivotal in biological processes such as cell growth, development, and defense against pathogens. These enzymes hold substantial promises in biotechnological applications, especially genetic engineering for enhancing crop disease resistance and stress tolerance. In this study, from Solanum tuberosum, glycosyl hydrolases family 17 (GH-17) β-1,3-glucanase (Stglu) was cloned, expressed, characterized and its antifungal activity was evaluated.
View Article and Find Full Text PDFSoft materials underpin many domains of science and engineering, including soft robotics, structured fluids, and biological and particulate media. In response to applied mechanical, electromagnetic or chemical stimuli, such materials typically change shape, often dramatically. Predicting their structure is of great interest to facilitate design and mechanistic understanding, and can be cast as an optimization problem where a given energy function describing the physics of the material is minimized with respect to the shape of the domain and additional fields.
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