1,124 research outputs found

    An Intervention Framework for Addressing Stigma on College Campuses: Findings From a 3-Year-Long Intervention Program

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    The ongoing COVID-19 pandemic will only exacerbate the rising mental health concerns among college students. However, stigma toward such concerns continues to hinder mental health care utilization among the students, requiring urgent evidence that can help guide college campuses in implementing effective antistigma interventions. We propose and provide evidence for an intervention based on findings from a 3-year-long antistigma intervention that was implemented on a Southeastern college campus in the United States. Unique random samples of college students, totaling N = 1727 across 3 years, were recruited as participants. Each year, participants completed a preintervention and postintervention survey comprising of questions related to demographics, stigma, and mental health care knowledge. Findings indicate that the stakeholder-led intervention decreased personal stigma and increased mental health care knowledge among students who were exposed to the intervention. Further research is needed to assess feasibility and efficacy of the proposed intervention framework on other campuses

    Solar Dryers for Tropical Food Preservation: Thermophysics of Crops, Systems and Components

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    Drying reduces the moisture content of harvested crops thus slowing decay processes to enable longerterm storage. Solar dryers contain the crop being dried, to enhance solar energy collection incurring lower crop losses than are associated with open-sun drying and recurrent costs than are inherent to uses of fossil-fuels for drying. The influences of key environmental, operational and design parameters for solar dryers are discussed including: (i) psychrometry of drying processes and ambient conditions, (ii) how initial crop properties are converted to final desired product attributes, (iii) feasibility of using powered components such as fans and (iv) air-heating solar collector selection

    A novel approach towards investigating the performance of different PVT configurations integrated on test cells: An experimental study

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    This study elaborates the theoretical and experimental analysis for the effectiveness of different photovoltaic thermal (PVT) configurations along with their building implications. An experiment was performed on especially designed four identical prototype test cells emphasise the building integration photovoltaic thermal (BiPVT) systems. A comparative analysis of four different possible PVT configurations integrated on identical test cells namely; Case 1: Glass-to-glass PV with duct integrated on a test cell, Case 2: Glass-to -glass PV without duct integrated on a test cell, Case 3: Glass to tedlar PV with duct integrated on a test cell and Case 4: Glass to tedlar PV without duct integrated on a test cell was carried out. Analytical model of the electrical and thermal performance for different cases was developed and experimentally validated in outdoor conditions. On the basis of the correlation coefficient (r) and root mean square percent deviation (e), a fair agreement between theoretically calculated and experimentally observed values is achieved. The glass to glass PV module gives better both electrical and thermal performance with hourly average ηm 12.65% and 12.70% for case 1 and 2 respectively. Similarly, the hourly average ηith was observed 32.77% and 25.44% for case 1 and 2 respectively. Further, thermal load levelling with varying packing factor, mass flow rate of air through the PV integrated duct, absorptivity (degradation effect) and transmittivity (dusting effect) are also discussed

    Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular Depth Estimation

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    With an unprecedented increase in the number of agents and systems that aim to navigate the real world using visual cues and the rising impetus for 3D Vision Models, the importance of depth estimation is hard to understate. While supervised methods remain the gold standard in the domain, the copious amount of paired stereo data required to train such models makes them impractical. Most State of the Art (SOTA) works in the self-supervised and unsupervised domain employ a ResNet-based encoder architecture to predict disparity maps from a given input image which are eventually used alongside a camera pose estimator to predict depth without direct supervision. The fully convolutional nature of ResNets makes them susceptible to capturing per-pixel local information only, which is suboptimal for depth prediction. Our key insight for doing away with this bottleneck is to use Vision Transformers, which employ self-attention to capture the global contextual information present in an input image. Our model fuses per-pixel local information learned using two fully convolutional depth encoders with global contextual information learned by a transformer encoder at different scales. It does so using a mask-guided multi-stream convolution in the feature space to achieve state-of-the-art performance on most standard benchmarks.Comment: Presented at the Advances in Image Manipulation Workshop at ECCV 202

    Cell-cycle-dependent transcriptional and translational DNA-damage response of 2 ribonucleotide reductase genes in S. cerevisiae

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    The ribonucleotide reductase (RNR) enzyme catalyzes an essential step in the production of deoxyribonucleotide triphosphates (dNTPs) in cells. Bulk biochemical measurements in synchronized Saccharomyces cerevisiae cells suggest that RNR mRNA production is maximal in late G1 and S phases; however, damaged DNA induces RNR transcription throughout the cell cycle. But such en masse measurements reveal neither cell-to-cell heterogeneity in responses nor direct correlations between transcript and protein expression or localization in single cells which may be central to function. We overcame these limitations by simultaneous detection of single RNR transcripts and also Rnr proteins in the same individual asynchronous S. cerevisiae cells, with and without DNA damage by methyl methanesulfonate (MMS). Surprisingly, RNR subunit mRNA levels were comparably low in both damaged and undamaged G1 cells and highly induced in damaged S/G2 cells. Transcript numbers became correlated with both protein levels and localization only upon DNA damage in a cell cycle-dependent manner. Further, we showed that the differential RNR response to DNA damage correlated with variable Mec1 kinase activity in the cell cycle in single cells. The transcription of RNR genes was found to be noisy and non-Poissonian in nature. Our results provide vital insight into cell cycle-dependent RNR regulation under conditions of genotoxic stress.Massachusetts Institute of Technology. Center for Environmental Health Sciences (deriving from NIH P30-ES002109)National Institutes of Health (U.S.) (grant R01-CA055042)National Institutes of Health (U.S.) (grant DP1-OD006422)Massachusetts Institute of Technology (CSBi Merck-MIT Fellowship

    The Mitochondrial Ca(2+) Uniporter: Structure, Function, and Pharmacology.

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    Mitochondrial Ca(2+) uptake is crucial for an array of cellular functions while an imbalance can elicit cell death. In this chapter, we briefly reviewed the various modes of mitochondrial Ca(2+) uptake and our current understanding of mitochondrial Ca(2+) homeostasis in regards to cell physiology and pathophysiology. Further, this chapter focuses on the molecular identities, intracellular regulators as well as the pharmacology of mitochondrial Ca(2+) uniporter complex

    Character association and path analysis for yield components in turmeric (Curcuma longa L.)

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    Correlation and path analys is of 11 characters of turmeric (Curcuma longa) were carried out using 22 genotypes at Raigarh (Chhattisgarh). Plant height, leaf length, thickness of primary and secondary rhizomes and number of secondary rhizomes revealed significant positive associations with rhizome yield. Path analysis showed positive direct effect of plant height, leaf length and thickness of primary and secondary rhizomes on rhizome yield. These traits may be given due e,,'phasis while making selections for improvement in rhizome yield of turmeric. &nbsp

    THE RELEVANCE OF ANTHROPOLOGY IN MANAGEMENT EDUCATION IN INDIA

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    This paper explores the significance of anthropology in management education. It also aims to develop an insight into the benefits that the business would accrue by introducing anthropology to management education. Globalization has a multifaceted bearing on education—it endorses new tools and techniques in this area. But whether education can prepare citizens to face the new challenges will depend upon the quality of education. Business education in India is undergoing a profound paradigm shift to respond to the challenges arising out of the rapidly changing business environmental factors

    Serum estradiol concentrations as a predictor of successful outcome in artificial frozen-thawed embryo transfer cycles

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    Background: The role of late follicular serum estradiol monitoring in artificial FET cycles remain unclear. The purpose of this study was to evaluate the correlation between serum estradiol levels on the day of starting progesterone supplementation with clinical pregnancy rates in FET cycle.Methods: This was a non-interventional observational cohort study of patients undergoing ICSI followed by FET at Nadkarni hospital and test tube baby center, Killa-Pardi, Gujarat during the period of January 2021 to May 2021. Total 64 cycles were studied and serum estradiol levels were analyzed on the day of starting progesterone supplementation. They were divided into 3 groups based on serum E2 levels (0-25th centile, 25th-75th centile and >75th centile). Chi square/Fisher exact test were used to compare the clinical pregnancy and implantation rates between these groups.Results: Clinical pregnancy and implantation rates in group A, B and C were 68.8%, 78.1%, 75% and 36.98±9.06, 32.03±4.48 and 29.69±5.69 respectively.Conclusions: Serum estradiol levels before progesterone supplementation in FET cycles do not predict the outcome of FET cycle therefore making routine monitoring of serum estradiol in FET cycle of questionable value
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