HgutMgene-Miner: In silico genome mining tool for deciphering the drug-metabolizing potential of human gut microbiome.

The biotransformation of drugs by enzymes from the human microbiome can produce active or inactive products, impacting the bioactivity and function of these drugs inside the human host. However, understanding the biotransformation reactions of drug molecules catalyzed by bacterial enzymes in human microbiota is still limited. Hence, to characterize drug utilization capabilities across all the microbial phyla inside the human gut, we have used a knowledge-based approach to develop HgutMgene-Miner software which predicts xenobiotic metabolizing enzymes (XMEs) through genome mining.

Leveraging molecular dynamics, physicochemical, and structural analysis to explore OMP33-36 protein as a drug target in Acinetobacter baumannii: An approach against nosocomial infection.

The Acinetobacter baumannii is a member of the "ESKAPE" bacteria responsible for many serious multidrug-resistant (MDR) illnesses. This bacteria swiftly adapts to environmental cues leading to the emergence of multidrug-resistant variants, particularly in hospital/medical settings. In this work, we have demonstrated the outer membrane protein 33-36 (Omp33-36) porin as a potential therapeutic target in A.

Enhanced antimycotic activity of biomodified copper oxide nanoparticles from indigenous state flowers of Jharkhand: an and approach.

Current study investigates the medicinal applications of (Palash), the state flower of Jharkhand, India, focusing on synthesising biomodified copper oxide nanoparticles (CuO-NPs) and its antifungal properties. Flavonoid content in the flower extract was quantified by aluminium chloride colorimetric analysis. CuO-NPs were synthesised via co-precipitation method and then modified with methanolic flower extract.

Distress and coping mechanisms among people with diabetes: cross-sectional assessment from an NCD screening clinic of a tertiary care hospital in North India.

Background: Of the numerous complications encountered by people with diabetes (PWD), the effect on mental health is concerning. Within mental health, diabetes distress (DD) occurs when a patient has unfavourable emotional stress while managing their condition, which can be managed by coping strategies but are less studied together in Indian settings. So, the present study aimed to determine the proportion of DD and associated factors and coping skills among the PWD.

3D nanocomposites of β-TCP-HBO-Cu with improved mechanical and biological performances for bone regeneration applications.

Recently, 3-D porous architecture of the composites play a key role in cell proliferation, bone regeneration, and anticancer activities. The osteoinductive and osteoconductive properties of β-TCP allow for the complete repair of numerous bone defects. Herein, β-TCP was synthesized by wet chemical precipitation route, and their 3-D porous composites with HBO and Cu nanoparticles were prepared by the solid-state reaction method with improved mechanical and biological performances.

Optimization of metal polymer friction pair composition for hydrogen wear reduction through thermal stabilization analysis.

The composition of the metal-polymer friction pair is carefully considered for interacting with water and hydrogen, ensuring the metals electrode process potential remains below waters in a neutral medium. Simultaneously, adherence to defined chemical composition ratios for the metal-polymer materials is crucial. This analysis is conducted under conditions of thermal stabilization, characterized by a minimal temperature gradient across the rim thickness within an equivalent thermal field.

Automated mechanical ventilator design and analysis using neural network.

Mechanical ventilation is the process through which breathing support is provided to patients who face inconvenience during respiration. During the pandemic, many people were suffering from lung disorders, which elevated the demand for mechanical ventilators. The handling of mechanical ventilators is to be done under the assistance of trained professionals and demands the selection of ideal parameters.

Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders.

Although the Transformer architecture has established itself as the industry standard for jobs involving natural language processing, it still has few uses in computer vision. In vision, attention is used in conjunction with convolutional networks or to replace individual convolutional network elements while preserving the overall network design. Differences between the two domains, such as significant variations in the scale of visual things and the higher granularity of pixels in images compared to words in the text, make it difficult to transfer Transformer from language to vision.

Bio-inspired preparation of Ag NPs, rGO, and Ag/rGO nanocomposites for acoustical, antioxidant, and plant growth regulatory studies.

Acoustical properties are essential for understanding the molecular interactions in fluids, as they influence the physicochemical behavior of liquids and determine their suitability for diverse applications. This study investigated the acoustical parameters of silver nanoparticles (Ag NPs), reduced graphene oxide (rGO), and Ag/rGO nanocomposite nanofluids at varying concentrations. Ag NPs and Ag/rGO nanocomposites were synthesized via a Bos taurus indicus (BTI) metabolic waste-assisted method and characterized using advanced techniques, including XRD, TEM, Raman, DLS, zeta potential, and XPS.

Efficient diagnosis of diabetes mellitus using an improved ensemble method.

Diabetes is a growing health concern in developing countries, causing considerable mortality rates. While machine learning (ML) approaches have been widely used to improve early detection and treatment, several studies have shown low classification accuracies due to overfitting, underfitting, and data noise. This research employs parallel and sequential ensemble ML approaches paired with feature selection techniques to boost classification accuracy.

A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system.

This study first proposes an innovative method for optimizing the maximum power extraction from photovoltaic (PV) systems during dynamic and static environmental conditions (DSEC) by applying the horse herd optimization algorithm (HHOA). The HHOA is a bio-inspired technique that mimics the motion cycles of an entire herd of horses. Next, the linear active disturbance rejection control (LADRC) was applied to monitor the HHOA's reference voltage output.

Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning.

This study introduces a novel ensemble learning technique namely Multi-Armed Bandit Ensemble (MAB-Ensemble), designed for lane detection in road images intended for autonomous vehicles. The foundation of the proposed MAB-Ensemble technique is inspired in terms of Multi-Armed bandit optimization to facilitate efficient model selection for lane segmentation. The benchmarking dataset namely TuSimple is used for training, validating and testing the proposed and existing lane detection techniques.

De novo transcriptome assembly of the Perna viridis: A novel invertebrate model for ecotoxicological studies.

Mussels, particularly Perna viridis, are vital sentinel species for toxicology and biomonitoring in environmental health. This species plays a crucial role in aquaculture and significantly impacts the fisheries sector. Despite the ecological and economic importance of this species, its omics resources are still scarce.

Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach.

The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and accurate diagnostic results. The method entails several steps with CNN models: ADa-22 and AD-22, transformer networks, and an SVM classifier, all inbuilt.

Structural, morphological and biological assessment of magnetic hydroxyapatite with superior hyperthermia potential for orthopedic applications.

Hydroxyapatite (HA) is an important constituent of natural bone. The properties of HA can be enhanced with the help of various ionic substitutions in the crystal lattice of HA. Iron (Fe) is a vital element present in bones and teeth.

[Formula: see text]-roaming dynamics in the formation of [Formula: see text] following two-photon double ionization of ethanol and aminoethanol.

Roaming reactions involving a neutral fragment of a molecule that transiently wanders around another fragment before forming a new bond are intriguing and peculiar pathways for molecular rearrangement. Such reactions can occur for example upon double ionization of small organic molecules, and have recently sparked much scientific interest. We have studied the dynamics of the [Formula: see text]-roaming reaction leading to the formation of [Formula: see text] after two-photon double ionization of ethanol and 2-aminoethanol, using an XUV-UV pump-probe scheme.

Exploring force-driven stochastic folding dynamics in mechano-responsive proteins and implications in phenotypic variation.

Single-point mutations are pivotal in molecular zoology, shaping functions and influencing genetic diversity and evolution. Here we study three such genetic variants of a mechano-responsive protein, cadherin-23, that uphold the structural integrity of the protein, but showcase distinct genotypes and phenotypes. The variants exhibit subtle differences in transient intra-domain interactions, which in turn affect the anti-correlated motions among the constituent β-strands.

Estimation of microbiota and interleukin-1 beta in tears and conjunctival secretions of patients with ocular defects after using unilateral ocular prosthesis.

Statement Of Problem: Clinical studies evaluating the levels of interleukin-1 beta (IL-1β) in tears and conjunctival secretions of patients with ocular defects after using ocular prostheses are lacking. Therefore, a comparative evaluation of IL-1β levels in the defective eye before and after placement of an ocular prosthesis is needed.

Purpose: The purpose of this clinical study was to compare the microbiota and IL-1β in tears and conjunctival secretions of patients with an ocular defect after using an ocular prosthesis.

Hemangiomatous ameloblastoma; A separate entity?".

Ameloblastomas (AM) are locally aggressive tumors, with hemangiomatous ameloblastoma (HA) being a rare subtype characterized by vascular proliferation, predominantly in the stroma but occasionally within the epithelial component. We report a case of a 32-year-old male with recurrent mandibular swelling, histopathologically diagnosed as unicystic HA, showing vascularity in both stroma and odontogenic epithelial islands with GLUT1 positivity in the latter. A review of 31 cases revealed a male predilection, mandibular dominance (89.

Aberrant promoter methylation of CTHRC1 gene and its clinicopathological characteristics in head and neck cancer.

Head and neck squamous cell carcinoma (HNSCC) is genetically complex and difficult to treat. Detection in the early stage is challenging, leading to diagnosis at advanced stages with limited treatment options. This study examined the collagen triple helix repeat containing 1 gene (CTHRC1) as a potential biomarker and therapeutic target in HNSCC.

Constructed wetland - microbial fuel cell (CW-MFC) mediated bio-electrodegradation of azo dyes from textile wastewater.

Azo dyes constitute 60-70% of commercially used dyes and are complex, carcinogenic, and mutagenic pollutants that negatively impact soil composition, water bodies, flora, and fauna. Conventional azo dye degradation techniques have drawbacks such as high production and maintenance costs, use of hazardous chemicals, membrane clogging, and sludge generation. Constructed Wetland-Microbial Fuel Cells (CW-MFCs) offer a promising sustainable approach for the bio-electrodegradation of azo dyes from textile wastewater.

The current models unravel the molecular mechanisms underlying the intricate pathophysiology of Alzheimer's disease using zebrafish.

The foremost cause of dementia is Alzheimer's disease (AD). The vital pathological hallmarks of AD are amyloid beta (Aβ) peptide and hyperphosphorylated tau (p-tau) protein. The current animal models used in AD research do not precisely replicate disease pathophysiology, making it difficult for researchers to quickly and effectively gather data or screen potential therapy possibilities.