MATLAB simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect.

The present work, theoretically examined the poliovirus sensor model composed of one-dimensional photonic crystal with defect. The transfer matrix method with the help of MATLAB software has been used to detect poliovirus present in the water sample. The main objective of the present work is to design an efficient sensor by identifying the minute variation in the refractive index of water sample due to change in the poliovirus concentration present in the sample.

A theoretical approach for a new design of an ultrasensitive angular plasmonic chemical sensor using black phosphorus and aluminum oxide architecture.

In this study, the biosensing capabilities of conventional and hybrid multilayer structures were theoretically examined based on surface plasmon resonance (SPR). The transfer matrix method is adopted to obtain the reflectance spectra of the hybrid multilayer structure in the visible region. In this regard, the considered SPR sensor is configured as, [prism (CaF)/AlO/Ag/AlO/2D material/AlO/Sensing medium].

Comparison of efficiency of various DC-DC converters connected to solar photovoltaic module.

In this paper, an attempt is made to build an effective solar photovoltaic (PV) system considering geographical aspects such as irradiance and temperature using the single-diode equation model. Furthermore, a comparative analysis of various DC-DC converters (buck, boost, inverting buck-boost, non-inverting buck-boost (NIBB), Cuk, and single-ended primary inductance converter (SEPIC)) connected to a solar photovoltaic (PV) module was conducted in order to determine the optimal combination of DC-DC converter and solar PV. Moreover, the R, L, and C parameters for the converters have also been proposed to gain optimum efficiency from the solar PV system, and it has been shown that increasing the resistance decreases the ripple value.

A Combination of Novel HIV-1 Protease Inhibitor and Cytochrome P450 (CYP) Enzyme Inhibitor to Explore the Future Prospective of Antiviral Agents: Evotaz.

Viruses belong to the class of micro-organisms that are well known for causing infections in the human body. Antiviral medications are given out to prevent the spread of disease-causing viruses. When the viruses are actively reproducing, these agents have their greatest impact.

Biophotonic sensor for swift detection of malignant brain tissues by using nanocomposite YBaCuO/dielectric material as a 1D defective photonic crystal.

In the present research work we have theoretically examined the biosensing capabilities of proposed one dimensional defective photonic crystal for swift detection of malignant brain tissues. The transfer matrix formulation and MATLAB computational tool have been used to examine the transmission properties of proposed structure. The identical buffer layers of nanocomposite superconducting material have been used either side of cavity region to enhance the interaction between incident light and different brain tissue samples poured into the cavity region.

Repurposing of drugs against methyltransferase as potential Zika virus therapies.

In recent years, the outbreak of infectious disease caused by Zika Virus (ZIKV) has posed a major threat to global public health, calling for the development of therapeutics to treat ZIKV disease. Several possible druggable targets involved in virus replication have been identified. In search of additional potential inhibitors, we screened 2895 FDA-approved compounds using Non-Structural Protein 5 (NS5) as a target utilizing virtual screening of in-silco methods.

An AI-Enabled ensemble method for rainfall forecasting using Long-Short term memory.

Rainfall prediction includes forecasting the occurrence of rainfall and projecting the amount of rainfall over the modeled area. Rainfall is the result of various natural phenomena such as temperature, humidity, atmospheric pressure, and wind direction, and is therefore composed of various factors that lead to uncertainties in the prediction of the same. In this work, different machine learning and deep learning models are used to (a) predict the occurrence of rainfall, (b) project the amount of rainfall, and (c) compare the results of the different models for classification and regression purposes.

Insights into the Glutamatergic and GABAergic Connections in the Conductance-Based Model of Subthalamic Nucleus in Hyperdirect Pathway.

Introduction: This study aimed to analyze the spiking patterns of subthalamic nucleus and globus pallidus coupling in hyperdirect pathway in healthy primates and in Parkinson's disease using a conductance-based model. The effect of calcium membrane potential has also been investigated.

Materials And Methods: System of coupled differential equation arising from the conductance-based model has been simulated using ODE45 in MATLAB 7.

LDRGDb - Legumes disease resistance genes database.

Legumes comprise one of the world's largest, most diverse, and economically important plant families, known for their nutritional and medicinal benefits. Legumes are susceptible to a wide range of diseases, similar to other agricultural crops. Diseases have a considerable impact on the production of legume crop species, resulting in large yield losses worldwide.

Genetic diversity, population structure, and genome-wide association study for the flowering trait in a diverse panel of 428 moth bean (Vigna aconitifolia) accessions using genotyping by sequencing.

Background: Moth bean (Vigna aconitifolia) is an underutilized, protein-rich legume that is grown in arid and semi-arid areas of south Asia and is highly resistant to abiotic stresses such as heat and drought. Despite its economic importance, the crop remains unexplored at the genomic level for genetic diversity and trait mapping studies. To date, there is no report of SNP marker discovery and association mapping of any trait in this crop.

Geraniol protects hippocampal CA1 neurons and improves functional outcomes in global model of stroke in rats.

Geraniol (GE), an acyclic monoterpene, is a chief constituent of essential oils of herbs and fruits. It possesses diverse pharmacological actions like antioxidant, anti-inflammatory, anti-apoptotic, and anti-parkinson. However, its neuroprotective potential in stroke is yet to be explored at large.

Molecular Docking and Network Pharmacology Interaction Analysis of Gingko Biloba (EGB761) Extract with Dual Target Inhibitory Mechanism in Alzheimer's Disease.

Background: Alzheimer's disease (AD) is the most common type of neurodegenerative dementia affecting people in their later years of life. The AD prevalence rate has significantly increased due to a lack of early detection technology and low therapeutic efficacy. Despite recent scientific advances, some aspects of AD pathological targets still require special attention.

KRAS Pathways: A Potential Gateway for Cancer Therapeutics and Diagnostics.

One of the major disturbing pathways within cancer is "The Kirsten rat sarcoma viral oncogene homolog (KRAS) pathway", and it has recently been demonstrated to be the most crucial in therapies and diagnostics. KRAS pathway includes numerous genes. This multi-component signaling system promotes cell growth, division, survival, and death by transferring signals from outside the cell to its interior.

Bioremediation of polycyclic aromatic hydrocarbons: An updated microbiological review.

A class of organic priority pollutants known as PAHs is of critical public health and environmental concern due to its carcinogenic properties as well as its genotoxic, mutagenic, and cytotoxic properties. Research to eliminate PAHs from the environment has increased significantly due to awareness about their negative effects on the environment and human health. Various environmental factors, including nutrients, microorganisms present and their abundance, and the nature and chemical properties of the PAH affect the biodegradation of PAHs.

Combinatorial Network of Transcriptional and miRNA Regulation in Colorectal Cancer.

Colorectal cancer is one of the leading causes of cancer-associated mortality across the worldwide. One of the major challenges in colorectal cancer is the understanding of the regulatory mechanisms of biological molecules. In this study, we aimed to identify novel key molecules in colorectal cancer by using a computational systems biology approach.

Bioconcrete-Enabled Resilient Construction: a Review.

Concrete, the ubiquitous cementitious composite though immensely versatile, is crack-susceptible. Cracks let in deleterious substances causing durability issues. Superseding conventional crack-repair methods, the innovative application of microbially induced calcium carbonate precipitation (MICCP) stands prominent, being based on the natural phenomenon of carbonate precipitation.

Novel predictive model of cell survival/death related effects of Extracellular Signal-Regulated kinase protein.

Computational modelling is a technique for modelling and solving real-world problems by utilising computing to provide solutions. This paper presents a novel predictive model of cell survival/death-related effects of Extracellular Signal-Regulated Kinase Protein. The computational model was designed using Neural Networks and fuzzy system.

Identification and examination of nitrogen metabolic genes in Lelliottia amnigena PTJIIT1005 for their ability to perform nitrate remediation.

Lelliottia amnigena PTJIIT1005 is a bacterium that utilizes nitrate as the sole nitrogen source and can remediate nitrate from media. The annotation was done related to nitrogen metabolic genes using the PATRIC, RAST tools, and PGAP from the genome sequence of this bacterium. Multiple sequence alignments and phylogenetic analysis of respiratory nitrate reductase, assimilatory nitrate reductase, nitrite reductase, glutamine synthetase, hydroxylamine reductase, nitric oxide reductase genes from PTJIIT1005 were done to find out sequence identities with the most similar species.

Cloud-Based Advanced Shuffled Frog Leaping Algorithm for Tasks Scheduling.

In recent years, the world has seen incremental growth in online activities owing to which the volume of data in cloud servers has also been increasing exponentially. With rapidly increasing data, load on cloud servers has increased in the cloud computing environment. With rapidly evolving technology, various cloud-based systems were developed to enhance the user experience.

Analysis of the most viewed Hindi YouTube videos on breast cancer.

Background: Breast cancer is the most common cancer diagnosed in women worldwide. Social media channels are a significant source of health information including breast cancer. YouTube has a broad range of educational materials on various health issues in many languages.

Fusion of pattern-based and statistical features for Schizophrenia detection from EEG signals.

Schizophrenia (SZ) is a chronic disorder affecting the functioning of the brain. It can lead to irrational behaviour amongst the patients suffering from this disease. A low-cost diagnostic needs to be developed for SZ so that timely treatment can be provided to the patients.

Organosulfur Compounds in Aged Garlic Extract Ameliorate Glucose Induced Diabetic Cardiomyopathy by Attenuating Oxidative Stress, Cardiac Fibrosis, and Cardiac Apoptosis.

Background: Diabetic cardiomyopathy has emerged as a major cause of cardiac fibrosis, hypertrophy, diastolic dysfunction, and heart failure due to uncontrolled glucose metabolism in patients with diabetes mellitus. However, there is still no consensus on the optimal treatment to prevent or treat the cardiac burden associated with diabetes, which urges the development of dual antidiabetic and cardioprotective cardiac therapy based on natural products. This study investigates the cardiotoxic profile of glucose and the efficacy of AGE against glucose-induced cardiotoxicity in H9c2 cardiomyocytes.

4-Allyl-2-methoxyphenol modulates the expression of genes involved in efflux pump, biofilm formation and sterol biosynthesis in azole resistant .

Introduction: Antifungal therapy for aspergillosis is becoming problematic because of the toxicity of currently available drugs, biofilm formation on host surface, and increasing prevalence of azole resistance in . Plants are rich source of bioactive molecules and antimicrobial activity of aromatic bioactive compounds draws attention because of its promising biological properties. The present study elucidated the antibiofilm activity of 4-allyl-2-methoxyphenol (eugenol) against azole-resistant environmental isolates.