Ab-initiotransport model to study the thermoelectric performance of MoS2, MoSe2, and WS2monolayers by using Boltzmann transport equation.

The potential for thermoelectric applications of two-dimensional materials is quite promising. Usingab-initiocalculations, we have investigated the electronic band structure, phonon band structure, electronic density of states, and phonon density of states of monolayers MoS2, MoSe2, and WS2. In order to compute the thermoelectric properties of monolayers MoS2, MoSe2, and WS2, we used theab-initiomodel suggested by Faghaniniaet al(2015Phys. Rev.B91235123). Within this model, by using inputs from density functional theory and considering all relevant elastic and inelastic scattering mechanisms, we have calculated the thermoelectric properties of monolayers MoS2, MoSe2, and WS2over various ranges of temperature (T) and carrier concentration (n). The obtained results of Seebeck coefficients (S) and figure of merit (ZT) atT= 300 K for bothn/p-types of monolayers MoS2, MoSe2, and WS2are in good agreement with the findings obtained by other models using the Boltzmann transport equation within a constant relaxation time framework.

Risk Factors for Progressive Fibrosis and Cirrhosis in Patients With Chronic Hepatitis C in India.

Background Liver cirrhosis (LC) caused by chronic hepatitis C (CHC) infection is a major global public health concern. This study will look at the risk factors for progressive fibrosis and cirrhosis in patients with persistent hepatitis C virus (HCV) infection. Methods In this cohort study, a total of 300 patients were included. We collected comprehensive diagnostic records for the entire study group of 200 people with chronic hepatitis C infection. For the comparison, 100 healthy people were recruited and assessed. FibroScan (Echosens, Paris, France) scores were used to categorize liver fibrosis stages: F0-F1 (no or mild fibrosis, <7 kPa), F2 (moderate fibrosis, 7-8.99 kPa), F3 (significant fibrosis, 9-12.49 kPa), and F4 (cirrhosis, ≥12.5 kPa). Their demographic, biochemical, and serological data were evaluated and compared. Results Most patients were males (47% females and 53% males). In the CHC group, the mean age of diagnosis was 37.68±11.57 years, whereas in the chronic hepatitis C-related liver cirrhosis (CHC-LC) group, the mean age was 48.89±12.30 years (p=0.01). Compared to normal individuals, CHC patients had higher body mass index (BMI) (22.37±1.89 versus 21.72±1.95, p=0.01), alanine aminotransferase (ALT) (36.70±7.13 versus 82.78±82.53, p=0.01), and aspartate aminotransferase (AST) (34.96±6.04 versus 80.82±91.77, p=0.01). However, compared to the patients with CHC, the patients with LC have lower platelet (PLT) count (1.51±0.78 versus 1.7±0.41, p=0.01) and higher liver enzymes (AST: 117.7±186.9 versus 80.8±91.7, p=0.01; ALT: 86.71±80.24 versus 82.78±82.53, p=0.01). On regression analysis, higher BMI, older age, low hemoglobin (Hb), and higher bilirubin, ALT, AST, and prothrombin time (PT) were associated with LC. Conclusion It is imperative to shift toward prevention and early intervention as the new approach to managing patients with HCV-related cirrhosis. Cirrhosis should be suspected in older patients with CHC who are obese and have low platelet counts with higher liver enzymes.

Sensitization Lectures for Reducing Weight Bias in Undergraduate Medical Students.

INTRODUCTION: Discrimination exists in one form or another in every society, usually against those who are weaker, in fewer numbers, or different from the rest. Most physicians are empathetic towards their patients but can either not keep an eye on their subordinates or lack the power to act against such employees. Persons experiencing discrimination in healthcare centers may try to avoid or postpone future visits, resulting in delayed diagnosis and treatment of ailments. Obesity bias present in society has crept into healthcare centers and intimidates persons with obesity who are seeking medical aid. Implicit and explicit obesity bias has been recorded in healthcare students. METHODS: Data from 102 undergraduate medical students (23 female) who completed this study was analyzed. Implicit bias (tested online using the Implicit Association Test) and explicit bias (measured using four types of tool kits) were measured before and after conducting an obesity sensitization program (OSP) comprising four lectures on the causes and consequences of obesity and obesity discrimination and its consequences. RESULTS: The change in implicit bias was not significant. However, a significant reduction was noted in the four different types of tools for explicit bias after conducting the OSP. CONCLUSION: OSP helped medical students identify obesity bias and reduce explicit bias. Sensitization lectures conducted in medical colleges and schools can help reduce such discrimination in healthcare centers.

Unveiling potential inhibitors targeting the nucleocapsid protein of SARS-CoV-2: Structural insights into their binding sites.

The Nucleocapsid (N) protein of SARS-CoV-2 plays a crucial role in viral replication and pathogenesis, making it an attractive target for developing antiviral therapeutics. In this study, we used differential scanning fluorimetry to establish a high-throughput screening method for identifying high-affinity ligands of N-terminal domain of the N protein (N-NTD). We screened an FDA-approved drug library of 1813 compounds and identified 102 compounds interacting with N-NTD. The screened compounds were further investigated for their ability to inhibit the nucleic-acid binding activity of the N protein using electrophoretic mobility-shift assays. We have identified three inhibitors, Ceftazidime, Sennoside A, and Tannic acid, that disrupt the N protein's interaction with RNA probe. Ceftazidime and Sennoside A exhibited nano-molar range binding affinities with N protein, determined through surface plasmon resonance. The binding sites of Ceftazidime and Sennoside A were investigated using [1H, 15N]-heteronuclear single quantum coherence (HSQC) NMR spectroscopy. Ceftazidime and Sennoside A bind to the putative RNA binding site of the N protein, thus providing insights into the inhibitory mechanism of these compounds. These findings will contribute to the development of novel antiviral agents targeting the N protein of SARS-CoV-2.

Discovery and Validation of Novel microRNA Panel for Non-Invasive Prediction of Prostate Cancer.

BACKGROUND: Early diagnosis remains a challenge for prostate cancer (PCa) due to molecular heterogeneity. The purpose of our study was to explore the diagnostic potential of microRNA (miRNA) in both tissue and serum that may aid in the precise and early clinical diagnosis of PCa. MATERIALS AND METHODS: The miRNA expression pattern analysis was carried out in 250 subjects (discovery and validation cohort). The Discovery Cohort included the control (n = 30) and PCa (n = 35) subjects, while the Validation Cohort included the healthy control (n = 60), benign prostate hyperplasia (BPH) (n = 55), PCa (n = 50), and castration-resistant PCa (CRPC) (n = 20) patients. The expression analysis of tissue (Discovery Cohort) and serum (Validation Cohort) was carried out by quantitative polymerase chain reaction (qPCR). The diagnostic biomarker potential was evaluated using receiver operating characteristics (ROC). Bioinformatic tools were used to explore and analyze miRNA target genes. RESULTS: MiRNA 4510 and miRNA 183 were significantly (p<0.001) upregulated and miRNA 329 was significantly (p<0.0001) downregulated in both PCa tissue and serum. ROC curve analysis showed excellent non-invasive biomarker potential of miRNA 4510 in both PCa (area under the curve (AUC) 0.984; p<0.001) and CRPC (AUC 0.944; p<0.001). The panel of serum miRNAs (miRNA 183 and miRNA 4510) designed for PCa had significant and greater AUC with both 100% sensitivity and specificity. Computational analysis shows that the maximum number of target genes are transcription factors that regulate oncogenes and tumor suppressors. CONCLUSION: Based on ROC curve analysis, miRNAs 4510, 329, and 711 were identified as potential non-invasive diagnostic biomarkers in the early detection of PCa. Our findings imply that a panel of miRNAs 183 and 4510 has high specificity for distinguishing PCa from healthy controls and providing therapeutic targets for better and earlier PCa therapy.