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300 K, 310 K and 320 K for 100 ns was investigated. It has been observed that the effective binding is observed at 290 K, therefore, it can be said that the inhibition of the Mpro of nCoV with GO is maximum at 290 K.Communicated by Ramaswamy H. Sarma.The study was designed with the objective of expression analysis of pro-apoptotic BAX and anti-apoptotic BCL-2 genes on lactation performance in Bos indicus and HF crossbred cows during early lactation. selleck products BAX/BCL-2 mRNA expression ratio in HF crossbreds showed a steady increase from 30th day to 90th day, but in Deoni cows the ratio exhibited a different pattern, which increased from day 30 to day 60, decreased on day 75, and then increased on day 90. BAX/BCL-2 expression ratio in Deoni and HF crossbreds were lowest on day 30 and highest on day 90. On contrary, the milk yield was highest on day 30 and lowest on day 90 suggesting BCL-2 gene favors milk production and BAX gene oppose milk production. In comparison to HF crossbreds, Deoni cows exhibited highest BAX/BCL-2 ratio at the end of early lactation, indicating Bos indicus cows were more sensitive to apoptosis than HF crossbreds. Comparison of daily milk yield with BAX/BCL-2 mRNA expression ratio revealed significant negative correlation with a correlation coefficient of -0.98 (P  less then  0.01) and -0.95 (P  less then  0.05) in Deoni and HF crossbred cows, respectively. Our study provides new insights into understanding the genetic control of mammary apoptosis between Bos indicus and HF crossbreds.Background Social support can potentially attenuate the positive relationship between poor mental health and excessive drinking. The present study tried to understand (1) whether there is a gender-specific relationship between poor mental health and excessive drinking; and (2) if and how social support moderates the relationship between poor mental health and excessive drinking. Methods We analyzed the data from 2016 Behavioral Risk Factor Surveillance System (BRFSS; N = 33,705). Weighted data were stratified by gender and controlled for demographic variables. We assessed poor mental health and social support as correlates of heavy and binge drinking, followed by analyzing the moderation effect of social support X poor mental health interaction terms. Results Poor mental health is linked with excessive drinking across genders. The interaction analysis shows that social support moderates the effect of ever having a poor mental health day in men's heavy drinking, but the interaction term is not significant in all other excessive drinking models, suggesting that social support may not buffer the negative impact of poor mental health on problem drinking, particularly among women. Conclusion Individuals with greater mental health challenges are more likely to drink hazardously, regardless of gender. Those who have low level of social support and poor mental health, particularly men, are at risk for heavy drinking. Given the majority of the interaction results is not significant, the study provides limited support for the buffering role of social support between poor mental health and problem drinking.Brain the most important organ which controls most of the regulations in the body is composed of neurons and glia. As brain has a high metabolic rate and reduced cell renewal capability, the lipids, proteins and nucleic acids become the major targets of damage. In the present study carbofuran (CF) induced brain DNA damage in male wistar albino rats at sub-lethal doses (Control-A; B-1.0, C-0.5 and D-0.3 mg/kg BW) while the groups B1,C1, D1, B2, C2, D2 and B3, C3, D3 represents the exposure duration 30, 60 and 90 days each respectively. FTIR spectroscopy based chemometric analysis of functional groups in nucleic acids are reported, changes in band area and band frequencies were examined to understand the DNA damage by constructing heat map. Significant changes were observed in the band frequency, band areas, bandwidth and intensity values (p  less then  0.05, 0.01, 0.001). The principal component analysis was analyzed to study the alterations at the molecular level, which revealed maximum variance of 74% in groups A, B1, C1, D1 and C2 and 13.7% variance in B2, D2, B3, C3 and D3. The present study provides significant details to analyse DNA damage using non-conventional approach and can also be used for detecting DNA damage in several neural diseases and disorders and emphasizes on using FTIR spectral data through chemometric approach to analyse the DNA damage.The Human Immunodeficiency Virus (HIV) infection is a global pandemic that has claimed 33 million lives to-date. One of the most efficacious treatments for naïve or pretreated HIV patients is the HIV integrase strand transfer inhibitors (INSTIs). However, given that HIV treatment is life-long, the emergence of HIV strains resistant to INSTIs is an imminent challenge. In this work, we showed two best regression QSAR models that were constructed using a boosted Random Forest algorithm (r2 = 0.998, q210CV = 0.721, q2external_test = 0.754) and a boosted K* algorithm (r2 = 0.987, q210CV = 0.721, q2external_test = 0.758) to predict the pIC50 values of INSTIs. Subsequently, the regression QSAR models were deployed against the Drugbank database for drug repositioning. The top-ranked compounds were further evaluated for their target engagement activity using molecular docking studies and accelerated Molecular Dynamics simulation. Lastly, their potential as INSTIs were also evaluated from our literature search. Our study offers the first example of a large-scale regression QSAR modelling effort for discovering highly active INSTIs to combat HIV infection.Communicated by Ramaswamy H. Sarma.As road traffic accidents (RTAs) cause enormous economic and human losses, especially in developing countries, numerous research efforts are needed to identify the key risk factors that significantly influence accident and crash severity. Despite that Dhaka city is registering alarming rises in related deaths and severe injuries, Bangladesh has yet to collect significant RTAs data. Thus, this study adopts probit and Heckman selection probit models to investigate RTAs and injury severity levels using original data from an on-field survey collecting 786 participants' responses regarding their socio-economic and demographic characteristics, their knowledge of road traffic systems and rules, the roads and vehicles types, and the road infrastructure conditions. Probit model showed that the major risk factors that increase road accidents causing severe injuries were wrong-way driving, and lack of speed control signs and adequate street lights. RTAs resulting in severe injuries were significantly associated with being married, not having an educational degree, driving on highways and in city areas. Furthermore, the Heckman probit model's selection equation showed that respondents who were unaware of road accident risks, resided in rural areas, and with high household income had higher risks of being directly involved in RTAs.Iron (Fe) is an essential micronutrient which plays pivotal roles as electron donor and catalyst across organisms. In plants, variable, often insufficient Fe supply necessitates mechanisms that constantly attune Fe uptake rates and recalibrate cellular Fe homoeostasis. Here, we show that short-term (0.5, 6, and 12 h) exposure of Arabidopsis thaliana plants to Fe deficiency triggered massive changes in gene activity governed by transcription and alternative splicing (AS), regulatory layers that were to a large extent mutually exclusive. Such preclusion was not observed for genes that are directly involved in the acquisition of Fe, which appears to be concordantly regulated by both expression and AS. Generally, genes with lower splice site strengths and higher intron numbers were more likely to be regulated by AS, no dependence on gene architecture was observed for transcriptionally controlled genes. Conspicuously, specific processes were associated with particular genomic features and biased towards either regulatory mode, suggesting that genomic hardwiring is functionally biased. Early changes in splicing patterns were, in many cases, congruent with later changes in transcript or protein abundance, thus contributing to the pronounced transcriptome-proteome discordance observed in plants.Utilizing external data from the real world, including data from historical clinical trials, has received increasing interest in drug development. The use of external data to support drug evaluation in clinical trials has mainly been through using various matching methods for baseline characteristics to form external control arms in single-arm trials or to augment control arms of randomized controlled trials in hybrid approaches. However, matching the baseline characteristics between the trial and the external subjects can only guarantee comparability on the level of baseline characteristics. Differences in outcomes between the two data sources may still exist due to contemporaneous and operational characteristics. Similarity between the outcomes in the trial control and the external subjects with similar baseline characteristics can be critical in leveraging the external subjects in the clinical trials. In this paper, a resampling method for augmenting control arms in randomized controlled trials is proposed under the conditional borrowing framework. The new method establishes empirical distributions for the hazard ratio in outcomes between the external and trial control subjects. The borrowing decision is then derived from this empirical distribution using a measure of similarity. Once the borrowing decision is established, the borrowing weights for the external subjects, based on the similarity measure, are incorporated in the weighted partial likelihood to evaluate the treatment effect. The operating characteristics of the hybrid control arm, under both the conditional borrowing and unconditional borrowing frameworks, are evaluated. Simulation is conducted to evaluate Type I error, bias, and power. An illustrative example using simulated data is also presented.First described in 1990, Takotsubo cardiomyopathy (TC) is a medical condition defined by acute and transient left ventricular (LV) dysfunction with a diversity of wall-motion abnormalities. TC can be induced by emotional and physical stress, as well as direct administration of catecholamines or medications which can cause a catecholamine surge. Although recorded incidences of TC have been rising over the last decade (currently 15-30 cases per 100,000 per year), this is most likely due to increased awareness and recognition of the condition. Electrocardiogram (ECG), imaging modalities such as echocardiography, coronary computed tomography angiography, cardiac magnetic resonance, and coronary angiography are important tools in the diagnosis of TC. The in-hospital mortality rate for patients admitted with TC reaches 5%. In our report, we describe a case of TC in a 30-years old female with a medical history of episodes of focal atrial tachycardia (AT) after intravenous administration of a single, maximum dose of flecainide.A 34 year-old young man came to our attention after an occasional finding of complete AV block. We made the diagnosis of systemic sarcoidosis with cardiac involvement through an FDG-PET even with a normal CMR. We started corticosteroid therapy and we decided to follow-up the patient through an implantable loop recorder (ILR). Beyond an initial regression of the AV block, after 8 months the ILR revealed AV block and pauses more than 3 s during the day; a new FDG-PET evidenced FDG uptake in new areas of left ventricle. Hence we started infliximab and implanted a dual chamber ICD.

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