Lassiter Sutton (hosegarlic8)

The Quality of life is a broad-ranging concept affected in a complex way by the person's physical health, psychological state, level of independence, social relationships, personal beliefs, and their relationship to salient features of their environment. The ongoing COVID-19 pandemic has resulted in many quarantine and isolation measures and lockdown of the nation for the foreseeable future. Although these initiatives are necessary to prevent the spread of coronavirus they may be causing adverse mental health effects. Medical students are backbone and future of the health system and the general public always looks up to them as a role model of society. With this background, this study aims to assess the quality of life among medical students during the lockdown period amid the COVID-19 pandemic. A self-administered, pretested, questionnaire based on World Health Organization Quality of Life Brief Version (WHOQOL-BREF) standard quality of life was used. For internal reliability and structural validity, Cro the psychological domain of Quality of Life among all the four domains. Physical activity and screen time was an important factor to the QOL of students, and it is likely that students would benefit from increased physical activity and minimizing screen time.Rothmund-Thomson syndrome (RTS) is an exceedingly infrequent genetic disorder characterized by a multitude of skin findings collectively known as poikiloderma. In normal cells, the RECQL4 gene is involved in DNA replication and repair. RTS is caused by a mutation in the RECQL4 gene, which results in increased predilection to develop various malignancies. Osteosarcomas and skin cancers are typically associated with this syndrome. We present a rare case of signet-ring cell gastric adenocarcinoma in a patient with RTS.In circular scan photoacoustic tomography (PAT), the axial resolution is spatially invariant and is limited by the bandwidth of the detector. However, the tangential resolution is spatially variant and is dependent on the aperture size of the detector. In particular, the tangential resolution improves with the decreasing aperture size. However, using a detector with a smaller aperture reduces the sensitivity of the transducer. Thus, large aperture size detectors are widely preferred in circular scan PAT imaging systems. Although several techniques have been proposed to improve the tangential resolution, they have inherent limitations such as high cost and the need for customized detectors. Herein, we propose a novel deep learning architecture to counter the spatially variant tangential resolution in circular scanning PAT imaging systems. We used a fully dense U-Net based convolutional neural network architecture along with 9 residual blocks to improve the tangential resolution of the PAT images. The network was trained on the simulated datasets and its performance was verified by experimental in vivo imaging. Results show that the proposed deep learning network improves the tangential resolution by eight folds, without compromising the structural similarity and quality of image. Nowadays cancer treatment is an important challenge in the medical world that needs better therapies. Many active secretions produced by insects such as honey bees used to discover new anticancer drugs. Bee venom (BV) has a potent anti inflammatory, anti cancer and tumor effects. The aim of present study is evaluation of anticancer effects induced by venom (AmV) on cell Lines. AmV was selected for study on cancer cell lines. Total protein, molecular weight and LD of crude venom were determined. Then, cells were grown in Dulbecco's Modified Eagle medium supplemented with 10% fetal bovine serum and 1% antibiotics. The A , HeLa and MDA-MB-231 cell Lines were exposed by different concentration of AmV. The morphology of cells was determined and cell viability was studed by MTT assay. Evaluation of cell death was determined by and DNA fragmen