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

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

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

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

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

Patterns of dual use of cigarettes and smokeless tobacco among US males: findings from national surveys

Background: In the USA, consumption of moist snuff continues to increase and cigarette manufacturers now control nearly its entire market. Manufacturers have developed new products that represent cigarette brand extension and in test marketing are promoting dual use of cigarettes and snuff. This study examined patterns of concurrent use of smokeless tobacco (ST) and cigarettes among young people and adults in the USA just before cigarette companies' control of the nation's ST market. Methods: Data were drawn from four US nationally representative surveys. Stratified analyses applied sampling weights and accounted for the complex sample designs. Results: Cigarette smoking was substantially more prevalent among young males who used ST than among those who did not. Among adult males, those who smoked daily were less likely than others to have used snuff every day. Men who used moist snuff daily had the lowest prevalence of daily smoking, but the prevalence of daily smoking was relatively high among men who used moist snuff less than daily. Unsuccessful past-year attempts by daily smokers to quit smoking were more prevalent among non-daily snuff users (41.2%) than among those who had never used snuff (29.6%). Conclusions: Although dual daily use of ST and cigarettes is relatively uncommon in the USA, concurrent ST use is more common among adolescent and young adult male smokers than among more mature tobacco users. Among adult males, daily smoking predominates and non-daily ST use is very strongly associated with current smoking. Adult male smokers who also use ST daily tend to have relatively high levels of serum cotinine and high prevalence of a major indicator for tobacco dependence

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

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

Effects of rainwater harvesting and afforestation on soil properties and growth of Emblica officinalis while restoring degraded hills in western India

Effect of rainwater harvesting (RWH) structures like Contour trench (CT), gradonie (GD), box trench (BT), V-ditch (VD) and afforestation with Emblica officinalis Gaertn (planted in August, 2005) were studied in <10%, 10-20% and >20% slopes with a view to improve soil status, plant growth, sequester carbon and rehabilitate hills for local benefits. Soil pH and EC decreased and percent soil, SOC, NO3-N and PO4-P increased in June 2010 over 2005. Enhanced soil water and nutrients in <10% slopefacilitated height and collar diameter growth of E. officinalis. Soil water was 14.0 and 51.4% greater in >20% and <10% slopes, respectively than in 10-20% slope, whereas it was 17.8, 16.1, 24.2 and 14.0% greater in CT, GD, BT and VD treatments, respectively over control. The highest plant growth was in CT plots in all slopes. Second best treatment was BT in <10% slope and VD in other slopes. Conclusively, RWH and afforestation facilitated soil improvement but CT/BT treatments were more efficient inconserving soil and water facilitating plant growth and helped restore the degraded hill. However, further research is required on soil water use and its partitioning in different vegetation component and the benefits accrued from it for the local people

A novel anomaly behavior detection scheme for mobile ad hoc networks

To sustain the security services in a Mobile Ad Hoc Networks (MANET), applications in terms of confidentially, authentication, integrity, authorization, key management, and abnormal behavior detection/anomaly detection are significant. The implementation of a sophisticated security mechanism requires a large number of network resources that degrade network performance. In addition, routing protocols designed for MANETs should be energy efficient in order to maximize network performance. In line with this view, this work proposes a new hybrid method called the data-driven zone-based routing protocol (DD-ZRP) for resource-constrained MANETs that incorporate anomaly detection schemes for security and energy awareness using Network Simulator 3. Most of the existing schemes use constant threshold values, which leads to false positive issues in the network. DD-ZRP uses a dynamic threshold to detect anomalies in MANETs. The simulation results show an improved detection ratio and performance for DD-ZRP over existing schemes; the method is substantially better than the prevailing protocols with respect to anomaly detection for security enhancement, energy efficiency, and optimization of available resources

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

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