Environment event and also ecological perils of psychoactive materials

This study investigates the relationship between daily returns of oil and ten European industrial equity indices for the period 2008-2017 using the spatial econometric technique. In our settings, the historical co-movements of sectoral returns are incorporated while modelling the contemporaneous relationships between oil and European sectoral returns. After controlling for regional and global equity risk factors, we find that oil returns pose a significantly positive effect on sectoral indices' returns in line with previous studies. However, the magnitude of economic impact found mostly by earlier studies was largely underestimated without considering the co-movements of sectoral indices. The use of spatial econometric technique allowed us to disaggregate the total impact into a direct (due to oil price) and an indirect (due to spillover effect because of intra-industry co-movements) effect of oil price changes. Our results indicate that the direct economic impact of changes in oil prices on industrial returns is almost 31% more than what has been found by earlier studies. The negative spatial dependence among sectoral indices provides a useful tool to identify the source of the indirect impact of oil on overall equity prices in Europe that in turn explains the overestimation of direct impact by 31%.The importance of user-friendly, inexpensive, sensitive, and selective detection of viruses has been highlighted again due to the recent Coronavirus disease 2019 (COVID-19) pandemic. Among the analytical tools, paper-based devices (PADs) have become a leading alternative for point-of-care (POC) testing. In this review, we discuss the recent development strategies and applications in nucleic acid-based, antibody/antigen-based and other affinity-based PADs using optical and electrochemical detection methods for sensing viruses. In addition, advantages and drawbacks of presented PADs are identified. Current state and insights towards future perspectives are presented regarding developing POC diagnosis platform for COVID-19. This review considers state-of-the-art technologies for further development and improvement in PADs performance for virus detection.This article presents the first report of basic assessment method findings from the 2020 national quinquennial survey on teaching and assessment methods in college economics. Focused on the methods used in the same four types of economics courses surveyed since 1995, the authors find that the primary assessment method in introductory courses remains multiple-choice examinations, with their average weight in determining students' grades increasing since 2010. click here Intermediate theory, statistics and econometrics, and other upper-division field economics courses rely primarily on short-answer exam questions for determining students' grades. Overall, the authors report notable changes in assessing learning in college economics, with a more balanced approach to using different assessment methods in upper-division economics courses as compared to other economics courses.Can one learn to diagnose COVID-19 under extreme minimal supervision? Since the outbreak of the novel COVID-19 there has been a rush for developing automatic techniques for expert-level disease identification on Chest X-ray data. In particular, the use of deep supervised learning has become the go-to paradigm. However, the performance of such models is heavily dependent on the availability of a large and representative labelled dataset. The creation of which is a heavily expensive and time consuming task, and especially imposes a great challenge for a novel disease. Semi-supervised learning has shown the ability to match the incredible performance of supervised models whilst requiring a small fraction of the labelled examples. This makes the semi supervised paradigm an attractive option for identifying COVID-19. In this work, we introduce a graph based deep semi-supervised framework for classifying COVID-19 from chest X-rays. Our framework introduces an optimisation model for graph diffusion that reinforces the natural relation among the tiny labelled set and the vast unlabelled data. We then connect the diffusion prediction output as pseudo-labels that are used in an iterative scheme in a deep net. We demonstrate, through our experiments, that our model is able to outperform the current leading supervised model with a tiny fraction of the labelled examples. Finally, we provide attention maps to accommodate the radiologist's mental model, better fitting their perceptual and cognitive abilities. These visualisation aims to assist the radiologist in judging whether the diagnostic is correct or not, and in consequence to accelerate the decision.Novel-Coronavirus (COVID-19) outburst has become a worldwide pandemic which threaten the scientific community to design and discover efficient and effective treatment strategies against this deadly virus (SARS-CoV-2). Still now, there is no antiviral therapy or drug available in the market which can efficiently combat the infection caused by this virus. link2 In this respect, using available drugs by screening with molecular docking and molecular dynamics studies not only minimizes lengthy chemical trials but also reduces discovery cost for the pharmaceutical industry. During the COVID-19 pandemic situations hydroxychloroquine, chloroquine known as HCQ and CQ tablets have gained popularity as for the treatment coronavirus (COVID-19) but the main threatening effect of HCQ, CQ use lies on their side effects like blistering, peeling, loosening of the skin, blurred vision stomach pain, diarrhea, chest discomfort, pain, or tightness, cough or hoarseness which require immediate medical attention. Encapsulation of HCQ and CQ drugs by the cyclic macromolecules such as α and β-Cyclodextrin, to form host-guest complexes is very effective strategy to mask the cytotoxicity of certain drugs and alleviating and modulating side effects of drug applications. In the present work, we have encapsulated the HCQ and CQ drugs α and β-Cyclodextrin and made a comprehensive analysis of stability, optical properties. Details analysis verified that between QC and HCQ, HQC showed stronger affinity towards β-Cyclodextrin. This strategy can reduce the side effect of HCQ and CQ thereby offers a new way to use these drugs. We hope the present study should help the researchers to develop potential therapeutics against the novel coronavirus.Cryopreservation, the most common method of preserving stem cells, requires post-processing because it produces trauma to the cells. Post-thawing trauma typically induces cell death, elevates reactive oxygen species (ROS) concentration, and lowers mitochondrial membrane potential (MMP). Although this trauma has been solved using antioxidants, we attempted to use photobiomodulation (PBM) instead of chemical treatment. We used a 950-nm near-infrared LED to create a PBM device and chose a pulsed-wave mode of 30 Hz and a 30% duty cycle. Near-infrared radiation (NIR) at 950 nm was effective in reducing cell death caused by hydrogen peroxide induced-oxidative stress. Cryodamage also leads to apoptosis of cells, which can be avoided by irradiation at 950 nm NIR. Irradiation as post-processing for cryopreservation had an antioxidant effect that reduced both cellular and mitochondrial ROS. It also increased mitochondrial mass and activated mitochondrial activity, resulting in increased MMP, ATP generation, and increased cytochrome c oxidase activity. In addition, NIR increased alkaline phosphatase (ALP) activity, a biomarker of differentiation. As a result, we identified that 950 nm NIR PBM solves cryodamage in human stem cells from the apical papilla, indicating its potential as an alternative to antioxidants for treatment of post-thawing trauma, and further estimated its mechanism.Understanding the influence of land use/land cover (LULC) on water quality is pertinent to sustainable water management. This study aimed at assessing the spatio-seasonal variation of water quality in relation to land use types in Lake Muhazi, Rwanda. The National Sanitation Foundation Water Quality Index (NSF-WQI) was used to evaluate the anthropogenically-induced water quality changes. In addition to Principal Components Analysis (PCA), a Cluster Analysis (CA) was applied on 12-clustered sampling sites and the obtained NSF-WQI. Lastly, the Partial Least Squares Path Modelling (PLS-PM) was used to estimate the nexus between LULC, water quality parameters, and the obtained NSF-WQI. The results revealed a poor water quality status at the Mugorore and Butimba sites in the rainy season, then at Mugorore and Bwimiyange sites in the dry season. Furthermore, PCA displayed a sample dispersion based on seasonality while NSF-WQI's CA hierarchy grouped the samples corresponding to LULC types. Finally, the PLS-PM returned a strong positive correlation (+ 0.831) between LULCs and water quality parameters in the rainy season but a negative correlation coefficient (- 0.542) in the dry season, with great influences of cropland on the water quality parameters. Overall, this study concludes that the lake is seasonally influenced by anthropogenic activities, suggesting sustainable land-use management decisions, such as the establishment and safeguarding protection belts in the lake vicinity.The bowfin (Amia calva) is a ray-finned fish that possesses a unique suite of ancestral and derived phenotypes, which are key to understanding vertebrate evolution. The phylogenetic position of bowfin as a representative of neopterygian fishes, its archetypical body plan and its unduplicated and slowly evolving genome make bowfin a central species for the genomic exploration of ray-finned fishes. Here we present a chromosome-level genome assembly for bowfin that enables gene-order analyses, settling long-debated neopterygian phylogenetic relationships. We examine chromatin accessibility and gene expression through bowfin development to investigate the evolution of immune, scale, respiratory and fin skeletal systems and identify hundreds of gene-regulatory loci conserved across vertebrates. These resources connect developmental evolution among bony fishes, further highlighting the bowfin's importance for illuminating vertebrate biology and diversity in the genomic era.Glucocorticoid-remediable aldosteronism (GRA) is an autosomal-dominant inherited aldosteronism that is often accompanied by early-onset hypertension. GRA is caused by the unequal crossover of the 11β-hydroxylase (CYP11B1) and aldosterone synthase (CYP11B2) genes. As a result of chimeric gene duplication, aldosterone is ectopically synthesized in the adrenal zona fasciculata under the control of adrenocorticotropic hormone (ACTH). Here, we describe a Chinese pedigree with three affected subjects. Both the uncle and nephew were hospitalized in our hospital due to early-onset hypertension (onset less then 20 years old) and were diagnosed with primary aldosteronism (PA). Their laboratory test results revealed hyperaldosteronism, hyporeninemia, a high plasma aldosterone to renin (ARR) ratio, and normal serum potassium (K+). Captopril failed to suppress aldosterone secretion. This family had a strong paternal history of hypertension. link3 Thirteen members underwent gene testing, and three of them were found to be GRA positive.