Comparative Evaluation of Apical Debris Extrusion in Primary Molars Using Three Different Pediatric Rotary Systems: An Study.

Aims And Background: Failure of the endodontic treatment might be due to various reasons like zipping, apical blockade, ledging, debris extrusion, etc. Apical debris extrusion in primary teeth is of major concern as it does not have a proper well-developed apex, that is, mature apex. This study aims to compare and evaluate the apical debris extrusion in primary molars using three different pediatric rotary file system.

Ternary Metal (W-Ni-Sr) Oxide@Polypyrrole Nanotubes: A New Frontier in the Electrochemical Detection of Promethazine Hydrochloride (PMHC).

Promethazine hydrochloride (PMHC) is a vital drug that is used as an anticholinergic, antipsychotic, antihistaminic, analgesic, sedative, and neuroleptic. However, the overdosage of PMHC also causes reproductive variations, cardiac changes, hypotension, and endocrinal variations. Hence, the detection of PMHC is crucial.

A Carbazole Acrylonitrile Substituted Turn-On Fluorescence Chemosensors for Cyanide Ion and its Application to Real Sample Analysis.

An efficient probe (E)-2-(benzo[d]thiazol-2-yl)-3-(9-ethyl-9 H-carbazol-3-yl)acrylonitrile (CZ-BTZ) for selective fluorescence "turn-on" response with cyanide (CN) ion sensor was developed by simple Knoevenagel condensation of 9-ethyl-9 H carbazole-3-carbaldehyde with 2-(benzo[d]thiazol-2-yl) acetonitrile. The sensing ability of probe CZ-BTZ was tested with different inorganic anions through spectrophotometric and spectrofluorimetric methods. The UV-vis and fluorescence spectral studies show the formation of a new adduct between CZ-BTZ and CN by appearing with a new absorbance band at 350 nm and "turn-on" fluorescence at 535 nm in CHCN: HO (8:2, v/v, pH 7.

Olive oil and castor oil-based self-nanoemulsifying drug delivery system of flurbiprofen can relieve peripheral pain and inflammation through reduction of oxidative stress and inflammatory biomarkers: a comprehensive formulation and pharmacological insights.

Flurbiprofen (FBP) is poorly water-soluble BCS class II drug with anti-inflammatory and analgesic effects, used to treat arthritis and degenerative joint diseases. This study was aimed to develop SNEDDS loaded with FBP. Six SNEDDS using two oils olive oil (F, F, F) and castor oil (F, F, F) with three different Smix ratios consisting of Tween 20 and PEG 400 (1:1, 1:2, 2:1) were prepared and characterized.

Use of Artificial Intelligence in Lower Gastrointestinal and Small Bowel Disorders: An Update Beyond Polyp Detection.

Machine learning and its specialized forms, such as Artificial Neural Networks and Convolutional Neural Networks, are increasingly being used for detecting and managing gastrointestinal conditions. Recent advancements involve using Artificial Neural Network models to enhance predictive accuracy for severe lower gastrointestinal (LGI) bleeding outcomes, including the need for surgery. To this end, artificial intelligence (AI)-guided predictive models have shown promise in improving management outcomes.

Extracellular Vesicles and PlantCrystals for Improved Bioavailability of Curcumin as a BCS Class IV Drug.

The limited water solubility of active compounds remains a significant challenge for efficient dermal drug delivery, particularly for BCS class IV drugs such as curcumin. This study aimed to enhance curcumin's dermal penetration using two strategies: extracellular vesicles (EVs) and plantCrystals derived from soybeans. EVs were isolated using classical methods.

Cell-free supernatant of (RAMULAB51) from coconut inflorescence sap (Neera) enhances glucose uptake and PPAR-γ in 3T3-L1 adipocytes and inhibits α-glucosidase and α-amylase.

Introduction: Lactic acid bacteria are prized for their probiotic benefits and gut health improvements. This study assessed five LAB isolates from Neera, with RAMULAB51 (, GenBank ON171686.1) standing out for its high hydrophobicity, auto-aggregation, antimicrobial activity, and enzyme inhibition.

Novel Variants of IGF2 Gene Are Linked With Neural Tube Defects-An In Silico to Clinical Approach in West Bengal, India.

Background: Neural tube defects (NTDs) are defined as an incomplete closure of the neural tube (NT), with a prevalence of 1.2 per 1000 live births around the world. Methylation of the maternally imprinted gene Insulin-like growth factor 2 (IGF2) is one of the epigenetic mechanisms that contribute significantly to the development of NTDs.

Impact of CaNa2EDTA fortification on growth, antioxidant activity and stress-related gene expression in tilapia (Oreochromis niloticus) at different stocking densities paradigms.

Increasing aquaculture production requires high-density farming, which induces stress, necessitating supplements to mitigate its effects and ensure fish health. The aim of this study was to examine how CaNa2EDTA (EDTA) affects the growth, immune response and antioxidant activity in Nile tilapia (Oreochromis niloticus). The fish were raised at three different stocking densities: low (LD = 2.

Pharmacogenomics for neurodegenerative disorders - a focused review.

Neurodegenerative disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS) are characterized by the progressive degeneration of neuronal structure and function, leading to severe cognitive and motor impairments. These conditions present significant challenges to healthcare systems, and traditional treatments often fail to account for genetic variability among patients, resulting in inconsistent therapeutic outcomes. Pharmacogenomics aims to tailor medical treatments based on an individual's genetic profile, thereby improving therapeutic efficacy and reducing adverse effects.

Catalytic degradation of aromatic dyes using triazolidine-thione stabilized nickel nanoparticles.

Nanoparticles have been extensively studied for many years due to their important roles in catalysis, metallurgy and high temperature superconductors. But, Nanoparticles are extremely unstable and easily react with other substances. So, to control the size and the shape of nanoparticles they must be stabilized.

Leveraging artificial intelligence for advancements in reproductive health.

We are writing to address the growing interest in the role of artificial intelligence (AI) within healthcare, particularly in the field of reproductive health. As technology continues to evolve, AI offers an unprecedented opportunity to transform how we diagnose, treat, and improve access to reproductive services, especially in underserved communities. AI-driven tools, supported by machine learning and big data analytics, are already demonstrating their potential in enhancing outcomes in reproductive health.

Anti-biofilm effect of ferulic acid against and : and investigation.

and , key members of the ESKAPE group of hospital-acquired pathogens, are driving forces behind numerous infections due to their potent biofilm formation and the growing threat of antimicrobial resistance. Ferulic acid (FA) is known for its strong antioxidant properties and is recognized for its numerous physiological benefits, including anti-inflammatory, antimicrobial, anticancer, and antidiabetic effects. The current investigation delves into the antimicrobial and antibiofilm ability of FA against and .

Antibiofilm and Antiquorum Sensing Potential of Pheretima posthum.

Antibiotic resistance is a world wide problem mainly in developing countries. In this work, coelomic fluid (PCF) and paste (PBP) of Pheretima posthuma was assessed for its potential as antibiofilm and anti-quorum sensing (QS) agent against pathogenic bacterial biofilms. PCF and PBP were extracted and biofilm formation time kinetics was examined using crystal violet staining method by utilizing four bacterial isolates in bispecies biofilm (06 combinations; MH5-MH10) and multi species biofilms (05 combinations; MH11-MH15).

Unveiling nature's antidiabetic potential in Berberis orthobotrys seeds for alloxan-induced diabetic rats.

To illustrate the anti-diabetic properties of Berberis orthobotrys seeds was the aim of the current study. After a series of experiments, two doses of aqueous methanolic extract of the seeds were selected i.e.

Statistical optimization of pectinases from thermophilic Aspergillus fumigatus BT-4 employing response surface methodology through submerged fermentation using agricultural wastes.

Background: In this study, thermophilic pectinase-producing strains were isolated. Among all the isolates, strain No. 4 was identified as Aspergillus fumigatus BT-4 based on its morphology and 18 S rDNA analysis.

Eupatorin modulates BCPAP in thyroid cancer cell proliferation via suppressing the NF-κB/P13K/AKT signaling pathways.

Background: Thyroid carcinoma (TC), the most prevalent endocrine cancer worldwide, has become progressively more common, especially in women. Most TCs are epithelial-derived differentiated TCs, specifically papillary thyroid cancer (PTC). Although there are many therapeutic drugs available, curing TC is a difficult task.

Incremental learning algorithm for dynamic evolution of domain specific vocabulary with its stability and plasticity analysis.

Domain-specific vocabulary, which is crucial in fields such as Information Retrieval and Natural Language Processing, requires continuous updates to remain effective. Incremental Learning, unlike conventional methods, updates existing knowledge without retraining from scratch. This paper presents an incremental learning algorithm for updating domain-specific vocabularies.

Site-specific prediction of O-GlcNAc modification in proteins using evolutionary scale model.

Protein glycosylation, a vital post-translational modification, is pivotal in various biological processes and disease pathogenesis. Computational approaches, including protein language models and machine learning algorithms, have emerged as valuable tools for predicting O-GlcNAc sites, reducing experimental costs, and enhancing efficiency. However, the literature has not reported the prediction of O-GlcNAc sites through the evolutionary scale model (ESM).

Comparison of Efficacy of Suprapatellar and Infrapatellar Approaches for Intramedullary Interlocking Nailing of Tibia in Patients With Tibial Fracture.

Introduction: Intramedullary interlocking nailing is a common surgical procedure for tibial fractures, enabling early patient mobilization. Traditionally, the infrapatellar approach has been used for intramedullary interlocking nailing of tibial fractures, but the suprapatellar approach is gaining attention for its potential benefits. This randomized controlled study aimed to compare the duration of the surgery, intra-operative blood loss, and fluoroscopy time between the suprapatellar and infrapatellar approaches.

Exploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training.

Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning to create diverse content, enabling personalized learning, enhancing resource accessibility, and facilitating interactive case studies. This narrative review explores the integration of generative artificial intelligence (AI) into orthopedic education and training, highlighting its potential, current challenges, and future trajectory.

Designing of new trans-stilbene derivative: An entry barrier of Zika virus in host cell.

A large population in the world lives in tropical and subtropical regions, showing a high risk of Zika viral infection which leads to a situation of global health emergency and demands extensive research to create effective antiviral medicines. Herein, we introduce the design of a new derivatized trans-stilbene molecule to investigate the inhibition of Zika virus entry into the host cell by molecular docking approach. The synthesized compound has been characterized by different analytical techniques such as FTIR, H NMR,C NMR and UV-visible spectroscopy as well as Mass spectrometry (MS).