Highly Green Fluorescent Carbon Dots from Gallic Acid: A Turn-On Sensor toward Pb Ions.

Carbon dots (CDs) are emerging novel fluorescent sensing nanomaterials owing to their tunable optical properties, biocompatibility, and eco-friendliness. Herein, we report a facile one-pot hydrothermal route for the synthesis of highly green fluorescent CDs using gallic acid (GA) as a single carbon source in ,-dimethylformamide (DMF) solvent, which serves as a nitrogen source and reaction medium. The optical properties of the synthesized GA-DMF CDs were systematically characterized by using UV-vis and photoluminescence spectroscopy, revealing strong green fluorescence.

Improving clinical care of patients in Nipah outbreaks: moving beyond 'compassionate use'.

The 2024 Nipah outbreak in Kerala, India-its fifth in six years-and the recurring annual outbreaks in Bangladesh underscore the persistent threat posed by the Nipah virus (NiV) in the region. With a high mortality rate, human-to-human transmission potential, and the widespread presence of bats, the natural reservoir, NiV remains a significant epidemic threat. Despite being a WHO priority pathogen, there has been no systematic effort to improve patient care for NiVD, leading to consistently poor outcomes.

Multiwavelength constraints on the origin of a nearby repeating fast radio burst source in a globular cluster.

The precise origins of fast radio bursts (FRBs) remain unknown. Multiwavelength observations of nearby FRB sources can provide important insights into the enigmatic FRB phenomenon. Here we present results from a sensitive, broadband X-ray and radio observational campaign of FRB 20200120E, the closest known extragalactic repeating FRB source (located 3.

Experimental adaptation to singular pathogen challenge reduces susceptibility to novel pathogens in .

Hosts often encounter and must respond to novel pathogens in the wild, that is pathogens that they have not encountered in recent evolutionary history, and therefore are not adapted to. How hosts respond to these novel pathogens and the outcome of such infections can be shaped by the host's evolutionary history, especially by how well adapted the host is to its native pathogens, that is pathogens they have evolved with. Host adaptation to one pathogen can either increase its susceptibility to a novel pathogen, due to specialization of immune defenses and trade-offs between different arms of the immune system, or can decrease susceptibility to novel pathogens by virtue of cross-resistance.

Revisiting community-based traditional irrigation systems in India.

Several scholars, policy think tanks and advocacy groups have advocated for reviving community-based traditional irrigation systems. Traditional irrigation systems are conceptualised as sustainable and resilient alternatives to large irrigation infrastructures. But do traditional irrigation systems always represent just, sustainable, and resilient alternatives? Based on interviews, focus group discussion, ethnographic fieldwork, and archival research, the paper offers a nuanced socio-historical understanding of one such community-based irrigation system, aka the system of South Bihar, India.

A study of bacterial community structure of shrimp farms along the Ratnagiri coast, Maharashtra.

Intensification of shrimp farming practices has increased the number and severity of disease outbreaks globally. As a result, diseases have become a significant barrier to profitable and sustainable shrimp production. Shrimp farming practices are reviving in India after its downfall in the late 90s.

The effect of SiC and YO inclusion on microstructure and mechanical properties of Al 5052 composite fabricated through Friction Stir Process.

A consistent research attempt to develop newer lightweight-high strength materials facilitates the automobile sector to excel in product efficiency. The present research is another endeavour to anchor the automobile industries by exploring novel composite. The different earth elements SiC and YO are utilised for the hybrid reinforcement of Al 5052 alloy in four different weight proportions.

The temporal relationship between mitochondrial quality and renal tissue recovery following ischemia-reperfusion injury.

Background: Growing evidence indicates that disruptions in mitochondrial quality management contribute to the development of acute kidney injury (AKI), incomplete or maladaptive kidney repair, and chronic kidney disease. However, the temporal dynamics of mitochondrial quality control alterations in relation to renal injury and its recovery remain poorly understood and are addressed in this manuscript.

Method: ology: Male Wistar rats (n = 60) were subjected to varying durations of ischemia and reperfusion.

Fixed points of two interpolative cyclic contractions in -metric spaces.

The -metric space happens to be one of the of most significant and non-trivial generalizations of metric spaces. In this paper, we introduce the concepts of Kannan type and Ćirić-Reich-Rus type cyclic contractions in -metric spaces via interpolation. Existence and uniqueness of fixed points of these two newly introduced contraction mappings have been studied and validated with suitable examples.

Extracellular domain of TREM2 possess two distinct ligand recognition sites: Insights from machine-learning guided docking and all-atoms molecular dynamics simulations.

The myeloid-specific triggering receptors expressed on myeloid cells 2 (TREM2) is a group of class I receptors expressed in brain microglia plays a decisive role in neurodegenerative diseases such as Alzheimer's disease (AD) and Nasu Hakola disease (NHD). The extracellular domain (ECD) of TREM2 interacts with a wide-range of ligands, yet the molecular mechanism underlying recognition of such ligands to this class I receptor remains underexplored. Herein, we undertook a systematic investigation for exploring the mode of ligand recognition in immunoglobulin-like ectodomain by employing both knowledge-based and machine-learning guided molecular docking approach followed by the state-of-the-art all atoms molecular dynamics (MD) simulations.

Third molar infections and their impact on systemic health- an awareness study among women degree college students of Udupi City, Karnataka, India.

Introduction: The wisdom teeth usually erupt at the age of 17-25 years leading to the risk of pericoronitis, caries, periodontitis, anterior crowding of teeth and cyst development. Previous studies have reported that the third molar infection is more associated with the age group of 26-35 years and is more commonly reported in the female gender.

Aims: Hence, the aim was to assess knowledge regarding third molar infections among women degree college students.

Illness perception in patients with dental caries: A co-relational study in Odisha.

Background: Illness behaviour refers to any actions or reactions of an individual who feels unwell for defining their state of health and obtaining physical or emotional relief from perceived or actual illness. The present study was conducted to assess illness perception of patients having dental caries using Illness Perceptions Questionnaire-Revised (IPQ-R) in Odisha.

Materials And Methods: A descriptive co-relational study was conducted among 250 patients with self-reported dental caries in at least one tooth and more than 18 years of age.

Acute gonococcal urethritis.

Gonococcal urethritis is a sexually transmitted infection caused by obligate gram-negative diplococci, Neisseria gonorrhoeae. In a patient complaining of dysuria and urethral discharge, the diagnosis is typically confirmed by identifying the bacteria in mucosal secretions. Inadequately treated or untreated cases are at a risk of developing epididymo-orchitis, prostatitis and serious complications like disseminated gonococcal infection, meningitis, and endocarditis.

Multimodal Deep Learning for Differentiating Bacterial and Fungal Keratitis Using Prospective Representative Data.

Objective: This study develops and evaluates multimodal machine learning models for differentiating bacterial and fungal keratitis using a prospective representative dataset from South India.

Design: Machine learning classifier training and validation study.

Participants: Five hundred ninety-nine subjects diagnosed with acute infectious keratitis at Aravind Eye Hospital in Madurai, India.

Multi-decadal tree-ring stable isotope records of apple and pear trees indicate coherent ecophysiological responses to environmental changes in alpine valleys.

The ecophysiological and ecohydrological impacts of climate change and progressively increasing atmospheric carbon dioxide (CO) concentration on agroecosystems are not well understood compared to the forest ecosystems. In this study, we utilized the presence of old apple and pear trees in the alpine valleys of Northern Italy (maintained for cultural heritage purposes) to investigate climate-scale physiological responses. We developed long-term tree-ring stable isotopic records (δC and δO) from apple (1976-2021) and pear trees (1943-2021).

Ketogenic diet with oxyresveratrol and zinc inhibits glioblastoma and restores memory function and motor coordination.

Background: To date, there is no effective cure for the highly malignant brain tumor glioblastoma (GBM). GBM is the most common, aggressive central nervous system tumor (CNS). It commonly originates in glial cells such as microglia, oligodendroglia, astrocytes, or subpopulations of cancer stem cells (CSCs).

Known yet underdiagnosed: Invasive assessment of coronary microvascular disease and its implications.

Coronary microvascular disease (CMD) is one of the commonest causes of cardiac chest pain. The condition is more prevalent in women, and incidence is known to increase with age, hypertension, and diabetes. The pathophysiological pathways are heterogenous and related to intrinsic vascular and endothelial dysfunction.

Evaluation of the merit of ethanolic extract of as an anti-cancer agent in human colon cancer cell lines (HCT-116).

Background: Colon cancer is the third most common cancer type worldwide. Novel alternative therapeutic anti-cancer drugs against colon cancer with less toxicity are to be explored . This study was aimed to explore the anti-proliferative and anti-migratory activity of various fractions of ethanolic leaf extract on human colon cancer cell lines (HCT-116) and to explore the potential molecular targets from the most potent plant extract fraction.

Technique for improving concrete characteristics with bacillus: Insights on strength and durability.

Numerous problems, including weathering, cracks, leaks, and bending, among others, appear in concrete after construction. The optimum procedure for treating concrete cracks is the subject of this study. The research goal is to find potential crack treatment materials and analyze the effect on the properties of concrete caused by the addition of bacterial solution to the concrete mix along with a particular method of preparation of bacterial solution.

A multi-dimensional student performance prediction model (MSPP): An advanced framework for accurate academic classification and analysis.

Forecasting student performance with precision in the educational space is paramount for creating tailor-made interventions capable to boost learning effectiveness. It means most of the traditional student performance prediction models have difficulty in dealing with multi-dimensional academic data, can cause sub-optimal classification and generate a simple generalized insight. To address these challenges of the existing system, in this research we propose a new model Multi-dimensional Student Performance Prediction Model (MSPP) that is inspired by advanced data preprocessing and feature engineering techniques using deep learning.

Fabrication of water-dispersible dye/polymer matrix-stabilized β-FeOOH (Rh-B/F127@β-FeOOH) nanoparticles: synthesis, characterization and therapeutic applications.

In this study, dye/polymer matrix-stabilized β-FeOOH nanomaterials were fabricated for therapeutic applications. Rh-B/F127@β-FeOOH nanomaterials were synthesized using two different methods: co-precipitation (CoP) and hydrothermal (HT) methods. The as-synthesized nanoparticles were characterized using various spectroscopic techniques, including FT-IR, UV-Vis, PL, XRD, HR-TEM, and XPS analysis.

Enzyme-induced liquid-to-solid phase transition of a mitochondria-targeted AIEgen in cancer theranostics.

Enzyme-instructed self-assembly (EISA) is a promising approach to anti-cancer therapeutics due to its precise targeting and unique cell death mechanism. In this study, we introduce a small molecule, DN6, which undergoes nitroreductase (NTR)-responsive liquid-liquid phase separation (LLPS) followed by a liquid-to-solid phase transition (LST) through a gel-like intermediate state, resulting in the formation of nanoaggregates with spatiotemporal control. The reduced form of DN6 (DN6R), owing to its aggregation-induced emission (AIE) and mitochondria-targeting capabilities, has been employed for organelle-specific imaging of tumor hypoxia.

A double-chain based metallomicellar catalyst for aerobic oxidative synthesis of benzimidazoles in water.

The oxomolybdenum complexes Mo1, Mo2 and Mo3, which share a common ONO donor ligand backbone but differ in their peripheral substituents, were explored to study their reactivity in organic transformations in water. The ligand backbones of Mo1 and Mo2 were covalently linked to a methyl group and a single hydrophobic -hexadecyl chain an ether linkage, respectively. The complex Mo3 was found to possess two -hexadecyl chains attached to the ligand backbone a common amine-N.

Harnessing Spectral Libraries From AVIRIS-NG Data for Precise PFT Classification: A Deep Learning Approach.

The generation of spectral libraries using hyperspectral data allows for the capture of detailed spectral signatures, uncovering subtle variations in plant physiology, biochemistry, and growth stages, marking a significant advancement over traditional land cover classification methods. These spectral libraries enable improved forest classification accuracy and more precise differentiation of plant species and plant functional types (PFTs), thereby establishing hyperspectral sensing as a critical tool for PFT classification. This study aims to advance the classification and monitoring of PFTs in Shoolpaneshwar wildlife sanctuary, Gujarat, India using Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) and machine learning techniques.