Exploring the therapeutic targets of stevioside in management of type 2 diabetes by network pharmacology and in-silico approach.

Aims: The main objective of the current study is to investigate the pathways and therapeutic targets linked to stevioside in the management of T2D using computational approaches.

Methods: We collected RNA-seq datasets from NCBI, then employed GREIN to retrieve differentially expressed genes (DEGs). Computer-assisted techniques DAVID, STRING and NetworkAnalyst were used to explore common significant pathways and therapeutic targets associated with T2D and stevioside.

Evaluation of THz wave transmission performance in TOPAS-based heptagonal photonic crystal fiber (He-PCF).

PCF denotes photonic crystal fiber which is utilized for terahertz (THz) waveguides and cladding in the shape of a hexagon with two elliptical air apertures (AHs), which are discussed. Such differentiation is made: When the frequency is 1 THz, effective material loss (EML) to a minimum of 0.028 cm has been achieved.

In vitro characterization of cell-fusing agent virus DNA forms in Aedes aegypti mosquitoes.

How non-retroviral endogenous viral elements (EVEs) are established is a long-standing question. Viral DNA (vDNA) forms of RNA viruses are likely to be EVE precursors. Cell-fusing agent virus (CFAV) is a major insect-specific virus (ISV) in the Aedes aegypti mosquitoes and one of the few existing non-retroviral RNA viruses found as EVEs.

The prospect of spray pyrolyzed pure, Mn-doped, and Zn-doped nickel oxide thin films as TCO material.

Nickel Oxide films with Manganese (Mn) and Zinc (Zn) doping (NiO, NiMnO, and NiZnO; where x = 0, 0.02, 0.04, and 0.

No detectable fitness cost of infection by cell-fusing agent virus in mosquitoes.

mosquitoes are well-known vectors of arthropod-borne viruses (arboviruses). Mosquitoes are more frequently infected with insect-specific viruses (ISVs) that cannot infect vertebrates. Some ISVs interfere with arbovirus replication in mosquito vectors, which has gained attention for potential use against arbovirus transmission.

Au-TiO-Coated Spectroscopy-Based Human Teeth Disorder Detection Sensor: Design and Quantitative Analysis.

Human tooth functionality is the most important for the human body to become fit and healthy. Due to the disease attacks in human teeth, parts may lead to different fatal diseases. A spectroscopy-based photonic crystal fiber (PCF) sensor was simulated and numerically analyzed for the detection of dental disorders in the human body.

A Novel Hybrid Approach for Classifying Osteosarcoma Using Deep Feature Extraction and Multilayer Perceptron.

Osteosarcoma is the most common type of bone cancer that tends to occur in teenagers and young adults. Due to crowded context, inter-class similarity, inter-class variation, and noise in H&E-stained (hematoxylin and eosin stain) histology tissue, pathologists frequently face difficulty in osteosarcoma tumor classification. In this paper, we introduced a hybrid framework for improving the efficiency of three types of osteosarcoma tumor (nontumor, necrosis, and viable tumor) classification by merging different types of CNN-based architectures with a multilayer perceptron (MLP) algorithm on the WSI (whole slide images) dataset.

Advanced implications of nanotechnology in disease control and environmental perspectives.

Nanotechnology encompasses a wide range of devices derived from biology, engineering, chemistry, and physics, and this scientific field is composed of great collaboration among researchers from several fields. It has diverse implications notably smart sensing technologies, effective disease diagnosis, and sometimes used in treatment. In medical science, the implications of nanotechnology include the development of elements and devices that interact with the body at subcellular (i.

Factors associated with depression and determining dimensions of job satisfaction among physicians in Bangladesh.

Background: Depression in physicians emerges early in their academic and professional careers. Lengthy and irregular duty time, high levels of obligation, job dissatisfaction, workstation culture, organizational rules, and so on significantly increased the psychological pressure on physicians.

Objectives: The study's aim was to measure the level of depression, association, and influence of socio-demographic characteristics and job satisfaction on depression among physicians in Bangladesh, as well as to explore the factor structure of job satisfaction measure and examine its internal reliability.

Exploring the Novel Computational Drug Target and Associated Key Pathways of Oral Cancer.

Oral cancer (OC) is a serious health concern that has a high fatality rate. The oral cavity has seven kinds of OC, including the lip, tongue, and floor of the mouth, as well as the buccal, hard palate, alveolar, retromolar trigone, and soft palate. The goal of this study is to look into new biomarkers and important pathways that might be used as diagnostic biomarkers and therapeutic candidates in OC.

Discovering Common Pathophysiological Processes between COVID-19 and Cystic Fibrosis by Differential Gene Expression Pattern Analysis.

Coronaviruses are a family of viruses that infect mammals and birds. Coronaviruses cause infections of the respiratory system in humans, which can be minor or fatal. A comparative transcriptomic analysis has been performed to establish essential profiles of the gene expression of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) linked to cystic fibrosis (CF).

Identification of Potential Key Genes and Molecular Mechanisms of Medulloblastoma Based on Integrated Bioinformatics Approach.

Background: Medulloblastoma (MB) is the most occurring brain cancer that mostly happens in childhood age. This cancer starts in the cerebellum part of the brain. This study is designed to screen novel and significant biomarkers, which may perform as potential prognostic biomarkers and therapeutic targets in MB.

Diagnosis of corona diseases from associated genes and X-ray images using machine learning algorithms and deep CNN.

Novel Coronavirus with its highly transmittable characteristics is rapidly spreading, endangering millions of human lives and the global economy. To expel the chain of alteration and subversive expansion, early and effective diagnosis of infected patients is immensely important. Unfortunately, there is a lack of testing equipment in many countries as compared with the number of infected patients.

High carbon-di-oxide modified atmospheric packaging on quality of ready-to-eat minimally processed fresh-cut iceberg lettuce.

Fresh-cut lettuce is a very well-known salad for today's routines because it obliges minimal preparation to minimize the loss of health beneficial vitamins, minerals, antioxidants and other phytochemicals. It is a prodigious challenge to serve its consumers fresh. Quality of freshly processed lettuce under high CO modified atmosphere packaging (MAP) has been investigated as a realistic alternative technique for its preservation.

Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine perspective.

Background: Worldwide, more than 80% of identified lung cancer cases are associated to the non-small cell lung cancer (NSCLC). We used microarray gene expression dataset GSE10245 to identify key biomarkers and associated pathways in NSCLC.

Results: To collect Differentially Expressed Genes (DEGs) from the dataset GSE10245, we applied the R statistical language.

Analysis of topological properties and drug discovery for bipolar disorder and associated diseases: A bioinformatics approach.

With the advancement and development of sophisticated bioinformatics tools, the area of computational bioinformatics and systems biology analysis is expanding day by day. The bipolar or manic-depressive disorder might be characterized as one of the most crippling mental problems that affect the people of early age and grown-ups. The objective of the present study was to investigate the association between genetic mutations in the four above listed diseases and to create a Protein-protein interaction (PPI) network or common pathways.

Ensemble of CheXNet and VGG-19 Feature Extractor with Random Forest Classifier for Pediatric Pneumonia Detection.

Pneumonia, an acute respiratory infection, causes serious breathing hindrance by damaging lung/s. Recovery of pneumonia patients depends on the early diagnosis of the disease and proper treatment. This paper proposes an ensemble method-based pneumonia diagnosis from Chest X-ray images.

Modified HuffBit Compress Algorithm - An Application of R.

The databases of genomic sequences are growing at an explicative rate because of the increasing growth of living organisms. Compressing deoxyribonucleic acid (DNA) sequences is a momentous task as the databases are getting closest to its threshold. Various compression algorithms are developed for DNA sequence compression.

Dataset representing the effect of indirect band gap region of Cd-free AlGaAs buffer layer in Cu(In,Ga)Se photovoltaic cell.

The dataset of physical properties for the proposed CIGS solar cell with Cd-free AlGaAs buffer layer has been depicted in this data article. The cell performance outcome due to different AlGaAs buffer layer band gap is reported along with optimum solar cell performance parameters for instance, open circuit voltage [Formula: see text], short circuit current density ([Formula: see text], fill factor [Formula: see text], efficiency [Formula: see text], as well as collection efficiency [Formula: see text].

Modeling and performance analysis dataset of a CIGS solar cell with ZnS buffer layer.

This article represents the baseline data of the several semiconductor materials used in the model of a CIGS thin film solar cell with an inclusion of ZnS buffer layer. As well, input parameters, contact layer data and operating conditions for CIGS solar cell simulation with ZnS buffer layer have been described. The schematic diagram of photovoltaic solar cell has been depicted.

Numerical dataset for analyzing the performance of a highly efficient ultrathin film CdTe solar cell.

The article comprises numerical data of distinct semiconductor materials applied in the sketch of a CdTe absorber based ultrathin film solar cell. Additionally, the contact layer parametric values of the cell have been described also. Therefore, the simulation has been conducted with data related to the hetero-structured (n-ZnO/n-CdS/p-CdTe/p-ZnTe) semiconductor device and a - characteristics curve was obtained.

Dataset demonstrating the modeling of a high performance Cu(In,Ga)Se absorber based thin film photovoltaic cell.

The physical data of the semiconductor materials used in the design of a CIGS absorber based thin film photovoltaic cell have been presented in this data article. Besides, the values of the contact parameter and operating conditions of the cell have been reported. Furthermore, by conducting the simulation with data corresponding to the device structure: soda-lime glass (SLG) substrate/Mo back-contact/CIGS absorber/CdS buffer/intrinsic ZnO/Al-doped ZnO window/Al-grid front-contact, the solar cell performance parameters such as open circuit voltage [Formula: see text], short circuit current density [Formula: see text], fill factor [Formula: see text], efficiency [Formula: see text], and collection efficiency [Formula: see text] have been analyzed.

Hybrid photonic crystal fiber in chemical sensing.

Background: In this article, a hybrid photonic crystal fiber has been proposed for chemical sensing. A FEM has been applied for numerical investigation of some propagation characteristics of the PCF at a wider wavelength from 0.7 to 1.