Emergency Department Virtual Happy Hour: A Novel Approach to Peer Group Support During a Pandemic

Introduction Communities responded to the coronavirus disease 2019 (COVID-19) pandemic with mandatory social-distancing regulations. Pandemic and disaster research shows that social isolation can often cause negative emotions and medical provider burnout. The primary objective of this study was to create and evaluate a novel wellness program, the Happy Hour Wellness Initiative (HHWI), based on peer support group concepts to foster resilience for emergency healthcare providers in response to a novel disaster. Methods The study was performed at a large emergency department with physicians, advanced practice providers, and staff invited to attend weekly virtual happy hour sessions. Participants individually opted into each of the six weekly sessions, with no obligation to attend. The program was designed based on the tenets of a peer support group and implemented by video conferencing. Participants completed a demographic questionnaire and answered open-ended questions after the six-session HHWI ended. Results Of the 40 survey respondents, 30% reported feeling stressed and 40% felt isolated at the early declaration of the pandemic. Regarding the HHWI, 90% of participants had no expectations from the HHWI, but 90% reported that their favorite part of the initiative was the feeling of togetherness. Most participants (95%) requested a continuation of the HHWI, even if not by a video-conferencing platform, and 90% reported feeling sad after the HHWI ended. Conclusion The emergency department HHWI was a welcome opportunity for employees to combat stress and anxiety brought on by the COVID-19 pandemic and social distancing. The initiative fostered team building, comradery, group advocacy, stress relief, and cheerfulness. The initiative was so greatly welcomed as a tool for wellness that almost all participants recommended that the HHWI should be available, not just in times of hardship, but year-round. The HHWI has provided a new approach to promote wellness in emergency care providers using a peer support group

A robust and forward-Looking industrial production indicator

Against the backdrop of growing criticism of the index of industrial production, which provides information only about the past and sometimes fl uctuates wildly, this article seeks to provide a more robust and forward-looking economic indicator of industrial growth. Such an indicator, based on past IIP numbers, can also serve as a benchmark for future IIP numbers when they are released. Using data on the IIP's three sub-series - manufacturing, mining, and electricity - it seeks to isolate the "noise" from the "signal" in two steps, enabling predictions for the two past months and four months into the future using the latest available IIP numbers in any given month

Community dynamics under environmental extremes: coastal plain wet prairie in a natural state and under restoration

Ecological restoration is increasingly employed to restore degraded or destroyed ecosystems and evaluation of restoration success requires that natural community dynamics be understood. Wet prairies in the Southeast US have diverse plant communities subject to disturbances including fire, drought, flooding, tropical storms, and freezes. This habitat covers a fraction of its former range and reversing that trend requires ecological restoration; but, long-term data on the dynamics of this system are rare. We analyzed a 12-year plant community composition dataset from a fire-maintained Gulf of Mexico Coastal Plain wet prairie to characterize plant community dynamics and identify indicator species. The site was compared to a nearby wetland mitigation project attempting to restore a wet prairie that had been converted into slash pine (Pinus elliottii) plantation. The reference site had higher species richness, was dominated by Aristida spp., and was stable despite extreme climatic conditions. The restoration site transitioned from dense pine and understory canopy to an open, grassy community, but did not follow a trajectory toward the reference state. Restoration efforts were impeded by woody debris, accumulated duff, soil disturbance from logging, and storm surge from hurricanes. Continued application of prescribed fire and decomposition activity should remove the organic matter and promote establishment of wet prairie species, but on a longer time scale than expected. Although the pine plantation did not return to a typical wet prairie during the study period, the record of community dynamics of the reference wet prairie provides information on the resilience of the habitat type under prescribed fire management, and serves as a reference for restoration efforts and management of this threatened habitat

Antifungal acetylinic thiophenes from Tagetes minuta: potential biopesticide

Apart from thiophenes, which possess wide range of biocidal activity, aerial parts of Tagetes sp. contain essential oil. Oil components were reported to have antifungal activity, thus making whole plant of Tagetes very useful for exploiting as natural fungistatic agent. In the present study, Tagetes minuta grown in north western Himalayan condition were evaluated for its potential for use as antifungal agent. Flower essential oil showed minimal antifungal activity. Whereas, leaf essential oil was found signifi cant antifungal activity against three phytopathogenic fungi out of eight tested fungi. ED50 values were 165, 175 and 110 μg mL-1 against Rhizoctonia solani, Sclerotinia sclerotiorum and Sclerotium rolfsii, respectively. Thiophene rich extract of Tagetes minuta was found comparatively lesser active (ED50: 233-484 μg mL-1) than leaf essential oil against the same fungi. The present study shows that essential oil from leaves and thiophene rich extracts from marigold roots have signifi cantly good antifungal activity against a number of soil borne and foliar plant pathogens. The easy availability of these plants makes it an attractive potential candidate for development of natural fungicide

Variability assessment and construction of infectious clone of Indian Apple Scar Skin Viroid

Apple scar skin viroid (ASSVd) is widely distributed and economically important pome-fruit infecting viroid belonging to the genus Apscaviroid. It causes huge economic losses to the apple industry. Apple fruits with dappling, scarring, cracking and deformation symptoms were noticed during survey of apple growing regions of Himachal Pradesh, India. ASSVd was detected from four isolates showing dappled fruits. Molecular characterization of the viroid was done. Ten clones each from five isolates were sequenced out of which seven new sequence variants of ASSVd were found. Four of the clones were 330 nucleotides (nt) long and the other eight had an additional nucleotide. The clones showed significant sequence variability (94-100%) with each other. Variability was more common in the pathogenic domain of the viroid genome. Present isolates grouped with some Chinese and Korean isolates in phylogenetic analysis. The study reports seven new sequence variants of ASSVd and also gives a first molecular evidence of a viroid infection (ASSVd) in apple from India. Infectious clone of ASSVd were constructed for in vitro mutagenic studies. Keywords: Apple scar skin viroid, cloning, DNA sequencing, phylogenetic analysi

Gastrin-Releasing Peptide and Glucose Metabolism Following Pancreatitis

Background Gastrin-releasing peptide (GRP) is a pluripotent peptide that has been implicated in both gastrointestinal inflammatory states and classical chronic metabolic diseases such as diabetes. Abnormal glucose metabolism (AGM) after pancreatitis, an exemplar inflammatory disease involving the gastrointestinal tract, is associated with persistent low-grade inflammation and altered secretion of pancreatic and gut hormones as well as cytokines. While GRP is involved in secretion of many of them, it is not known whether GRP has a role in AGM. Therefore, we aimed to investigate the association between GRP and AGM following pancreatitis. Methods Fasting blood samples were collected to measure GRP, blood glucose, insulin, amylin, glucagon, pancreatic polypeptide (PP), somatostatin, cholecystokinin, gastric-inhibitory peptide (GIP), gastrin, ghrelin, glicentin, glucagon-like peptide-1 and 2, oxyntomodulin, peptide YY (PYY), secretin, vasoactive intestinal peptide, tumor necrosis factor-α (TNF-α), monocyte chemoattractant protein (MCP)-1, and interleukin-6. Modified Poisson regression analysis and linear regression analyses were conducted. Four statistical models were used to adjust for demographic, metabolic, and pancreatitis-related risk factors. Results A total of 83 individuals after an episode of pancreatitis were recruited. GRP was significantly associated with AGM, consistently in all four models (P -trend < 0.05), and fasting blood glucose contributed 17% to the variance of GRP. Further, GRP was significantly associated with glucagon (P < 0.003), MCP-1 (P < 0.025), and TNF-α (P < 0.025) - consistently in all four models. GRP was also significantly associated with PP and PYY in three models (P < 0.030 for both), and with GIP and glicentin in one model (P = 0.001 and 0.024, respectively). Associations between GRP and other pancreatic and gut hormones were not significant. Conclusion GRP is significantly increased in patients with AGM after pancreatitis and is associated with increased levels of pro-inflammatory cytokines, as well as certain pancreatic and gut hormones. Detailed mechanistic studies are now warranted to investigate the exact role of GRP in derangements of glucose homeostasis following pancreatitis

Dual-Camera Joint Deblurring-Denoising

Recent image enhancement methods have shown the advantages of using a pair of long and short-exposure images for low-light photography. These image modalities offer complementary strengths and weaknesses. The former yields an image that is clean but blurry due to camera or object motion, whereas the latter is sharp but noisy due to low photon count. Motivated by the fact that modern smartphones come equipped with multiple rear-facing camera sensors, we propose a novel dual-camera method for obtaining a high-quality image. Our method uses a synchronized burst of short exposure images captured by one camera and a long exposure image simultaneously captured by another. Having a synchronized short exposure burst alongside the long exposure image enables us to (i) obtain better denoising by using a burst instead of a single image, (ii) recover motion from the burst and use it for motion-aware deblurring of the long exposure image, and (iii) fuse the two results to further enhance quality. Our method is able to achieve state-of-the-art results on synthetic dual-camera images from the GoPro dataset with five times fewer training parameters compared to the next best method. We also show that our method qualitatively outperforms competing approaches on real synchronized dual-camera captures.Comment: Project webpage: http://shekshaa.github.io/Joint-Deblurring-Denoising