6,557 research outputs found

    Results of the users' requirements survey

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    The objectives of the High Resolution, High Frame Rate Video Technology (HHVT) Users' Requirements Survey were the following: (1) Document the requirements of potential users of the HHVT system; (2) Establish a data base relating key video parameters to HHVT users; (3) Guide the development of a high resolution, high frame rate video system offering high data storage capacity and high data transmission rates; (4) Allow users to compare their requirements to those of other users and to the state-of-the-art technology; and (5) Allow users to reassess, if necessary, their requirements in the light of existing and near-term technology. The results of the Users' Requirements Survey are presented. The diversity of these requirements indicates a need for developing a video system with great flexibility

    Alopecia areata: a multifactorial autoimmune condition

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    Alopecia areata is an autoimmune disease that results in non-scarring hair loss, and it is clinically characterised by small patches of baldness on the scalp and/or around the body. It can later progress to total loss of scalp hair (Alopecia totalis) and/or total loss of all body hair (Alopecia universalis). The rapid rate of hair loss and disfiguration caused by the condition causes anxiety on patients and increases the risks of developing psychological and psychiatric complications. Hair loss in alopecia areata is caused by lymphocytic infiltrations around the hair follicles and IFN-γ. IgG antibodies against the hair follicle cells are also found in alopecia areata sufferers. In addition, the disease coexists with other autoimmune disorders and can come secondary to infections or inflammation. However, despite the growing knowledge about alopecia areata, the aetiology and pathophysiology of disease are not well defined. In this review we discuss various genetic and environmental factors that cause autoimmunity and describe the immune mechanisms that lead to hair loss in alopecia areata patients

    \u3ci\u3eMIT v. Yoo\u3c/i\u3e: Revocation of Academic Degrees for Non-Academic Reasons

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    \u3ci\u3eMIT v. Yoo\u3c/i\u3e: Revocation of Academic Degrees for Non-Academic Reasons

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    The Effects of a Plant-Based Diet on Inflammation of Patients with Cardiac Disease

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    Cardiac disease is the primary cause of death in the United States of America (CDC, 2017). Despite ongoing efforts and investments to improve cardiac health in the United States, most of the population will suffer from cardiovascular diseases. There is a multitude of research supporting that diet can contribute to cardiac disease, but it is less known that diet can greatly contribute to regulation and reversal of cardiovascular disease processes (Huang et al., 2012; Satija et al., 2017; Kim et al., 2019). Existing research supports the efficacy of plant-based diets to manage and reverse certain cardiac diseases (Tuso et al., 2015; Esselstyn, 1999; Ornish 1998; Campbell et al., 1998). Plant-based diets have the potential to save many lives and drastically reduce healthcare costs. The purpose of this literature review is to evaluate current research on plant-based diets as interventions for cardiac disease and to identify the reasoning for underutilization of plant-based diets as intervention with cardiac health within the United States population. A database search of CINAHL Plus, MEDLINE, BIOSIS, Cochrane, Google Scholar, and PubMED was conducted and university librarians were utilized. Inclusive criteria and keyword searches were comprised of coronary artery disease and plant-based diets, cardiac disease and diet interventions, intensive lifestyle changes for reversal of coronary heart disease, plant-based diets and cardiac disease and inflammation, and plant-based diets reducing cardiac inflammation

    Enrichment of innate lymphoid cell populations in gingival tissue

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    Innate lymphoid cells (ILCs) are a population of lymphocytes that act as the first line of immunologic defense at mucosal surfaces. The ILC family in the skin, lungs, and gastrointestinal tissues has been investigated, and there are reports of individual subsets of ILCs in the oral tissues. We sought to investigate the whole ILC population (group 1, 2, and 3 subsets) in the murine gingivae and the lymph nodes draining the oral cavity. We show that ILCs made up a greater proportion of the whole CD45+ lymphocyte population in the murine gingivae (0.356% ± 0.039%) as compared with the proportion of ILCs in the draining lymph nodes (0.158% ± 0.005%). Cytokine profiling of the ILC populations demonstrated different proportions of ILC subsets in the murine gingivae versus the regional lymph nodes. The majority of ILCs in the draining lymph nodes expressed IL-5, whereas there were equal proportions of IFN-γ- and IL-5 expressing ILCs in the oral mucosa. The percentage of IL-17+ ILCs was comparable between the murine gingivae and the oral draining lymph nodes. These data suggest an enrichment of ILCs in the murine gingivae, and these ILCs reflect a cytokine profile discrepant to that of the local draining lymph nodes. These studies indicate diversity and enrichment of ILCs at the oral mucosal surface. The function of ILCs in the oral cavity remains to be determined; here, we provide a premise of ILC populations that merits future consideration in investigations of mouse models and human tissues

    Long term minimum tillage investigations, Stubble management, Deep ripping

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    Direct drilling Long term minimum tillage investigations (1) Continuous cropping – 77A16, 77A18, 77MT15, 77WH17, 77WH13, 78M25. (2) Rotational cropping – 77A43, 77E52, 77M35, 77M56, 77MT51, 77WH8. Stubble management – 79M7, 79WH6, 82M34, 84M1, 82LG4, 82LG46 (82KD1). Deep ripping - 82M35 in Minimum Tillage Rotation section also contains a deep ripping treatment. 77WH17, 80A44, 80NO46, 81M45, 81NO3, 81NO4, 82GE37, 82GE38, 82M30, 82M46, 82M60, 82ME38, 82N32, 82WH49, 84E24, (84C42, 84C43, 84C44, 84C45, 84C46) Eradu Sandplain – ECRS, 84E23, 84E24, 84JE43, 84JE44, 84LG37, 84M38, 84NO58, 84WH2, 84WH3, 84WH39. Additional deep ripping research is included in summaries by W. Bowden, D. Tennant, J. Hamblin, J. Wilson
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