Publications by authors named "Mathur T"

As India's population grows and urbanization accelerates, energy demand is increasing sharply while conventional sources fall behind. To tackle energy shortages and climate change, India must prioritize renewable energy sources (RES), which offer sustainable solutions. The country is rich in RES, which can enhance fuel mix for electricity generation.

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Background: There is a paucity of literature regarding the effect of anesthetic techniques on anti-tumor immunity, especially in Oral cavity Malignancies. We designed a study to evaluate the effect of 3 anesthetic techniques - Opioid, Lignocaine infusion and Dexmeditomedine infusion-based on anti-tumor immunity, using TGF-β, T-helper cell profile and inflammatory markers such as IL-6 and IL-10.

Methods: A pilot prospective randomized trial was conducted in 90 patients undergoing surgery for Oral cavity malignancy under general anesthesia in a tertiary specialty cancer hospital.

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Organotypic spheroids are evolving as a mainstream in vitro modeling platform, but it is crucial to integrate vascular tissue and perfusion for maintaining their longevity, stability, and physiological relevance. Current vascularization methods remain underdeveloped, and several protocols are poorly reproducible and are limited to use by a few select groups who have designed these methods. To achieve standardization, we offer a step-by-step guide to vascularize organotypic spheroids in case studies of pancreatic islets and cancer spheroids.

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Background: This study investigated diurnal variations in spirometric parameters and their correlation with salivary cortisol levels among apparently healthy adults.

Methods: Forty subjects, aged 18-22, were assessed. Spirometric parameters, including forced vital capacity (FVC), forced expiratory volume in one second (FEV1), forced expiratory flow during 25%-75% of expiration, and peak expiratory flow rate, were measured in the morning, afternoon, and evening.

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Combined radial and ulnar artery injuries are associated with a >35% amputation rate when not revascularized promptly. We describe a patient who suffered a penetrating injury to both the radial and ulnar arteries. Despite the ulnar artery being ligated and the radial artery primary repair becoming occluded after the index operation, his hand remained salvageable, likely because of collateral arterial pathways.

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The global crisis of antimicrobial resistance (AMR) necessitates the development of broad-spectrum antibacterial drugs effective against multi-drug resistant (MDR) pathogens. BWC0977, a Novel Bacterial Topoisomerase Inhibitor (NBTI) selectively inhibits bacterial DNA replication via inhibition of DNA gyrase and topoisomerase IV. BWC0977 exhibited a minimum inhibitory concentration (MIC) of 0.

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This Proposed work explores how machine learning can be used to diagnose conjunctivitis, a common eye ailment. The main goal of the study is to capture eye images using camera-based systems, perform image pre-processing, and employ image segmentation techniques, particularly the UNet++ and U-net models. Additionally, the study involves extracting features from the relevant areas within the segmented images and using Convolutional Neural Networks for classification.

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Microphysiological models (MPS) are increasingly getting recognized as in vitro preclinical systems of pathophysiology and drug discovery. However, there is also a growing need to adapt and advance MPS to include the physiological contributions of the capillary vascular dynamics, because they undergo angiogenesis or vasculogenesis to deliver soluble oxygen and nutrients to its organs. Currently, the process of formation of microvessels in MPS is measured arbitrarily, and vascularized MPS do not include oxygen measurements in their analysis.

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Background: Diabetes mellitus (DM) impacts multiple body systems, including lung function, and this impact can be further complicated by smoking. The connection between blood sugar control and lung health in individuals with diabetes who smoke has been extensively studied, but findings have been varied. This systematic review sought to compile and assess the research on how blood sugar control influences lung function in smokers with diabetes.

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The tumor microenvironment (TME) promotes angiogenesis for its growth through the recruitment of multiple cells and signaling mechanisms. For example, TME actively recruits and activates platelets from the microcirculation to facilitate metastasis, but platelets may simultaneously also support tumor angiogenesis. Here, to model this complex pathophysiology within the TME that involves a signaling triad of cancer cells, sprouting endothelial cells, and platelets, an angiogenesis-enabled tumor microenvironment chip (aTME-Chip) is presented.

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The isolation of sufficient amounts of intact nuclei is essential to obtain high-resolution maps of chromatin accessibility via assay for transposase-accessible chromatin using sequencing (ATAC-seq). Here, we present a protocol for tag-free isolation of nuclei from both cell walled and cell wall-deficient strains of the green model alga Chlamydomonas reinhardtii at a suitable quality for ATAC-seq. We describe steps for nuclei isolation, quantification, and downstream ATAC-seq.

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Pulmonary fibrosis is a disease affecting the lungs and the respiratory system that carries along a high fatality rate with no specific therapeutic approaches, making it a disorder sometimes termed as incurable. There have been various researches elaborating on the potential treatment and formulation approaches. Therapeutically effective drugs, new molecules, potential drug targets and novel delivery approaches have been identified.

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Since every biological system requires capillaries to support its oxygenation, design of engineered preclinical models of such systems, for example, vascularized microphysiological systems (vMPS) have gained attention enhancing the physiological relevance of human biology and therapies. But the physiology and function of formed vessels in the vMPS is currently assessed by non-standardized, user-dependent, and simple morphological metrics that poorly relate to the fundamental function of oxygenation of organs. Here, a chained neural network is engineered and trained using morphological metrics derived from a diverse set of vMPS representing random combinations of factors that influence the vascular network architecture of a tissue.

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Article Synopsis
  • Antibiotic impregnated cement coated intramedullary nails (ACCINs) are effective in treating tibial osteomyelitis by eradicating infection and providing stability.
  • The text introduces a new preparation method for ACCINs using bronchoscopy tubing, aiming to simplify the process.
  • It includes technical tips and a literature review to support the proposed technique and facilitate easier retrieval of the nails.
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The development of a novel inhibitor targeting gyrase B and topoisomerase IV offers an opportunity to combat multidrug resistance. We investigated the activity of RBx 10080758 against Gram-positive bacteria and . RBx 10080758 showed a potent 50% inhibitory concentration of 0.

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Vascularized microphysiological systems and organoids are contemporary preclinical experimental platforms representing human tissue or organ function in health and disease. While vascularization is emerging as a necessary physiological organ-level feature required in most such systems, there is no standard tool or morphological metric to measure the performance or biological function of vascularized networks within these models. Further, the commonly reported morphological metrics may not correlate to the network's biological function-oxygen transport.

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Background: Post-viral myocarditis has been associated with sudden cardiac death in athletes. Since the beginning of the COVID-19 pandemic, the concern of post-viral myocarditis impacting the professional athletic community has been present.

Case Summary: An elite-level basketball player presented after a positive COVID-19 test with findings consistent with ventricular tachycardia related to myocardial fibrosis/scar from a COVID-19-related myocarditis.

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Segmentation of a road portion from a satellite image is challenging due to its complex background, occlusion, shadows, clouds, and other optical artifacts. One must combine both local and global cues for an accurate and continuous/connected road network extraction. This paper proposes a model using fractional derivative-based weighted skip connections on a densely connected convolutional neural network for road segmentation.

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Measuring the capacity of microvascular networks in delivering soluble oxygen and nutrients to its organs is essential in health, disease, and surgical interventions. Here, a finite element method-based oxygen transport program, AngioMT, is designed and validated to predict spatial oxygen distribution and other physiologically relevant transport metrics within both the vascular network and the surrounding tissue. The software processes acquired images of microvascular networks and produces a digital mesh which is used to predict vessel and tissue oxygenation.

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Vascularized microphysiological systems and organoids are contemporary preclinical experimental platforms representing human tissue or organ function in health and disease. While vascularization is emerging as a necessary physiological organ-level feature required in most such systems, there is no standard tool or morphological metric to measure the performance or biological function of vascularized networks within these models. Further, the commonly reported morphological metrics may not correlate to the network's biological function - oxygen transport.

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In this study, the air quality index (AQI) of Indian cities of different tiers is predicted by using the vanilla recurrent neural network (RNN). AQI is used to measure the air quality of any region which is calculated on the basis of the concentration of ground-level ozone, particle pollution, carbon monoxide, and sulphur dioxide in air. Thus, the present air quality of an area is dependent on current weather conditions, vehicle traffic in that area, or anything that increases air pollution.

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Vascular organ-chip or vessel-chip technology has significantly impacted our ability to model microphysiological vasculature. These biomimetic platforms have garnered significant interest from scientists and pharmaceutical companies as drug screening models. However, these models still lack the inclusion of patient-specific vasculature in the form of patient-derived endothelial cells.

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