Transcatheter tricuspid valve-in-valve implantation in a paediatric patient: a case report.

Percutaneous interventions have become significant in the management of congenital heart diseases, with transcatheter procedures being increasingly used for valve dysfunction, particularly for cases requiring repetitive surgeries. This abstract presents a successful transcatheter valve-in-valve implantation in a 16-year-old patient with severe tricuspid regurgitation following a bioprosthetic tricuspid valve replacement. The procedure involved transcatheter tricuspid valve implantation using the Mammoth 25x40 mm balloon catheter and the 26 mm Myval transcatheter heart valve system (Meril Life Sciences Pvt.

HFIP-mediated, regio- and stereoselective hydrosulfenylation of ynamides: a versatile strategy for accessing ketene ,-acetals.

Herein, we report an HFIP-mediated, versatile, sustainable, atom-economical, and regio- and stereoselective hydro-functionalization of ynamides with various -nucleophiles (1 equiv.) such as thiols, thiocarboxylic acids, carbamates, xanthates, and ,-diethyl -hydrogen phosphorothioate to access a wide variety of stereodefined trisubstituted ketene ,-acetals under mild conditions. This protocol requires only HFIP, which plays multiple roles, such as acting as a Brønsted acid to protonate the ynamide regioselectively at the carbon to generate the reactive keteniminium intermediate, stabilizing the intermediate as solvent through H-bonding.

Molecular simulation of newly designed Mannich-based ciprofloxacin derivative as the promising scaffold for dihydropteroate synthase and DNA gyrase inhibitor.

The increasing incidence of bacterial infections has led to rise in antimicrobial resistance (AMR), a significant concern in public health across the globe. Henceforth, there is an urgency to address the AMR catastrophe, including developing new antibiotics, promoting the appropriate use of existing antibiotics, and investing more in research and development. Development of potent antibiotic derivatives is the call of the day.

Kinetic estimated glomerular filtration rate and drug dosing in critically ill patients with acute kidney injury-A prospective observational study.

Objective: To study the impact of kinetic glomerular filtration rate (kGFR) on clinical decision making and its implications on drug dosing compared to that of estimated GFR (eGFR) using chronic kidney disease epidemiology collaboration (CKD-EPI) equation in critically ill patients with acute kidney injury (AKI) admitted in a tertiary level intensive care unit (ICU).

Methods: Cross-sectional, prospective, observational study design. All patients admitted to Medical ICU, Fortis Hospital, Bangalore with AKI defined as per AKI network (AKIN) criteria.

A starch-polyvinyl alcohol polymer film-based on-site sensor for ammonia: a cost effective day-to-day technique for monitoring fish and meat spoilage.

Ammonia or biogenic amines released by protein degradation during food spoilage have various ill effects on human health and the environment. Herein, an economical colorimetric bisphenol-based sensor was developed from inexpensive reagents and a simple synthetic method for detecting ammonia and monitoring food spoilage. The slightest addition of NH significantly changed the absorption of BP, which was reflected in the detection limit value for NH (7.

Effects of titanium oxide nanoparticles on growth, biochemical composition, and photosystem mechanism of marine microalgae COR-A3.

The widespread utilization of titanium oxide nanoparticles (TiONPs) in various industrial applications has raised concerns about their potential ecological risks in marine environment. Assessing the toxicity of TiONPs on primary producers is essential to understand their impact on marine ecosystem. This study investigates the acute toxicity effect of TiONPs on COR-A3 cells, focusing on structural and physiological changes that can compromise algal viability and ecological function.

Physical effects of crowdant size and concentration on collective microtubule polymerization.

The polymerization of cytoskeletal filaments is regulated by both biochemical pathways, as well as physical factors such as crowding. The effect of crowding in vivo emerges from the density of intracellular components. Due to the complexity of the intracellular environment, most studies are based on either in vitro reconstitution or theory.

Artificial intelligent based control strategy for reach and grasp of multi-objects using brain-controlled robotic arm system.

Brain-controlled robotic arm systems are designed to provide a method of communication and control for individuals with limited mobility or communication abilities. These systems can be beneficial for people who have suffered from a spinal cord injury, stroke, or neurological disease that affects their motor abilities. The ability of a person to control a robotic arm to reach and grasp multiple objects using their brain signals.

-mutated AML: Immune Evasion Through Exosome-Mediated Mechanisms and innovative combination therapies targeting Immune escape.

Introduction: Acute Myeloid Leukemia is a heterogeneous hematological malignancy characterized by the uncontrolled proliferation of abnormal myeloid cells. Besides several other genetic abnormalities developed in AML, FLT3 mutations are significant due to their worse prognostic impacts and therapeutic resistance. As a result, these mutations enable AML cells to develop mechanisms for evading immune surveillance.

First report of the chloroplast and mitochondrial genomes of the Indian pitcher plant, Nepenthes khasiana Hook.f.

Objectives: Nepenthes, sometimes known as tropical pitcher plants or monkey cups, is a carnivorous plant genus that contains more than 160 species. Nepenthes khasiana, India's sole representative of the genus, is a rare and endangered dioecious plant endemic to North-east India. Despite the fact that it is a prominent insectivorous plant in the Nepenthaceae family, genomic resources for the species are limited, making genomic breeding and understanding the genetic basis of botanical carnivory difficult.

Development and experimental validation of a machine learning model for the prediction of new antimalarials.

A large set of antimalarial molecules (N ~ 15k) was employed from ChEMBL to build a robust random forest (RF) model for the prediction of antiplasmodial activity. Rather than depending on high throughput screening (HTS) data, molecules tested at multiple doses against blood stages of Plasmodium falciparum were used for model development. The open-access and code-free KNIME platform was used to develop a workflow to train the model on 80% of data (N ~ 12k).

Assessment of smartphone-based active distraction in association with audioanalgesia for overcoming airotor-related anxiety in children: a randomized controlled trial.

Background: Most children experience distress while visiting a dentist, above which the sound of the airotor and suction machine results in fear and difficulty in performing further procedures.

Methods: This was a randomized controlled parallel-group study of 40 children aged 6-13 years who required cavity preparation via the airotor. The children were randomly allocated to either Group 1 (Piano music app; active distraction combined with audio analgesia) or Group 2 (basic behavioural guidance alone).

Bidirectional approach of Punica granatum natural compounds: reduction in lung cancer and SARS-CoV-2 propagation.

The spreading of COVID-19 has posed a risk to global health, especially for lung cancer patients. An investigation is needed to overcome the challenges of COVID-19 pathophysiology and lung cancer disease. This study was designed to evaluate the phytoconstituents in Punica granatum peel (PGP), its anti-lung cancer activity, and in silico evaluation for antiviral potential.

Biomedical named entity recognition using improved green anaconda-assisted Bi-GRU-based hierarchical ResNet model.

Background: Biomedical text mining is a technique that extracts essential information from scientific articles using named entity recognition (NER). Traditional NER methods rely on dictionaries, rules, or curated corpora, which may not always be accessible. To overcome these challenges, deep learning (DL) methods have emerged.

COVID-19 status and utilisation of essential maternal and child healthcare services during the pandemic in Ahmedabad, India.

Background: Access to essential healthcare services is pertinent to the achievement of universal health coverage in any nation. The COVID-19 lockdown was used to mitigate the spread of the pandemic. Consequently, there was a reduction in the Utilisation of Basic Healthcare Services (UBHS) in diverse dimensions.

Tooth vitality and periapical healing: is Biodentine at par with MTA in regenerative endodontics?

Design: The study is a prospective, double-blinded randomised control trial that compares the mineral trioxide aggregate (MTA) and Biodentine as the pulp space barrier material after induction of a periapical blood clot by over-instrumentation for endodontic regeneration in single-rooted mature permanent anterior tooth (closed apex) with apical periodontitis (periapical pathology of more than 3 mm) and having necrosed pulp. A total of 36 patients were included in the study and after randomisation were allocated equally to both the groups out of which 31 patients returned for follow-up over an 18-month period. The treatment protocol consisted of two separate appointments.

Identification and suppression of low-frequency oscillations using PMU measurements based power system model in smart grid.

Low-frequency oscillations (LFO) are inherent to large interconnected power systems. Timely detection and mitigation of these oscillations is essential to maintain reliable power system operation. This paper presents a methodology to identify and mitigate low-frequency oscillations ( forced and inter-area) using a wide area monitoring system (WAMS) based power system model utilizing phasor measurement units (PMUs).

Optimized convolutional neural network using African vulture optimization algorithm for the detection of exons.

The detection of exons is an important area of research in genomic sequence analysis. Many signal-processing methods have been established successfully for detecting the exons based on their periodicity property. However, some improvement is still required to increase the identification accuracy of exons.

Non-targeted metabolomics reveals fatty acid and associated pathways driving resistance to whitefly and tomato leafminer in wild tomato accessions.

Wild tomato species exhibit natural insect resistance, yet the specific secondary metabolites and underlying mechanisms governing the resistance remain unclear. Moreover, defense expression dynamically adapts to insect herbivory, causing significant metabolic changes and species-specific secondary metabolite accumulation. The present study aims to identify the resistance-related metabolites in wild tomato accessions that influence the defense mechanism against whitefly (Bemisia tabaci Asia II 7) and leafminer (Phthorimaea absoluta).

Blockchain enabled traceability in the jewel supply chain.

This article examines the potential of blockchain technology to revolutionize the jewelry supply chain by enhancing trust, transparency, and efficiency. Utilizing Ethereum, we developed a blockchain network tailored to the industry's needs. Blockchain operates as a secure, immutable ledger, ensuring data integrity and transparency while preventing fraud and tampering due to its decentralized nature.

Forecasting of virtual power plant generating and energy arbitrage economics in the electricity market using machine learning approach.

Over time, the importance of virtual power plants (VPP) has markedly risen to seamlessly incorporate the sporadic nature of renewable energy sources into the existing smart grid framework. Simultaneously, there is a growing need for advanced forecasting methods to bolster the grid's stability, flexibility, and dispatchability. This paper presents a dual-pronged, innovative approach to maximize income in the day-ahead power market through VPP.

Optimized PID controller and model order reduction of reheated turbine for load frequency control using teaching learning-based optimization.

Load frequency control (LFC) systems in power grids face challenges in maintaining stability while managing computational complexity. This research presents an optimized approach combining model order reduction techniques with Teaching Learning-Based Optimization (TLBO) for PID controller tuning in single-area LFC systems. Three reduction methods-Routh Approximation, Balanced Truncation, and Hankel Norm Approximation-were implemented to reduce system order from 4th to 2nd order, achieving a 47.

Essential oils modulate virulence phenotypes in a multidrug-resistant pyomelanogenic Pseudomonas aeruginosa clinical isolate.

Pyomelanogenic P. aeruginosa, frequently isolated from patients with urinary tract infections and cystic fibrosis, possesses the ability to withstand oxidative stress, contributing to virulence and resulting in persistent infections. Whole genome sequence analysis of U804, a pyomelanogenic, multidrug-resistant, clinical isolate, demonstrates the mechanism underlying pyomelanin overproduction.

Advancing ex vivo functional whole-organ prostate gland model for regeneration and drug screening.

Model organisms are vital for biomedical research and drug testing but face high costs, complexity, and ethical issues. While newer techniques like organoids and assembloids have shown improvements, they still remain inadequate in addressing all research needs. In this study, we present a new method for maintaining the prostate gland of the earthworm, Eudrilus eugeniae ex vivo and examine its potential for regeneration and drug screening.