Seasonal flooded rice area extent dataset during dry seasons 2016 to 2019 at the Telangana state scale, South-India.

Indian agriculture largely depends on the timely and spatially variable availability of water resources which are replenished during the monsoon season. In the state of Telangana, a significant portion of the available water is utilized for flooded rice cultivation, both in surface water-fed command areas and in groundwater-dependent regions. The spatial extent of seasonal rice cultivation varies annually in response to water availability that is a key indicator of how farmers adapt to regional and global environmental and socio-economic changes.

OncoMet: a deep learning framework for the prediction of oncogenic signaling pathways and metastasis in esophageal cancer patients using histopathology images from primary tumors.

Background: Despite recent advancements in the diagnosis and prognosis of Esophageal cancer (EC), it remains among the leading causes of cancer-related mortality. Timely and cost-effective diagnosis, particularly in predicting the risk of metastasis and identifying the deregulation of oncogenic signaling pathways, could open new frontiers towards precision medicine and targeted therapy of EC. However, current diagnostic practices in identifying metastasis and deregulated oncogenic pathways involve molecular testing, which is time-consuming and costly.

Duckweed as a sustainable protein source: extraction methods, functional properties, and applications in food systems.

Duckweed has gained significant attention as a sustainable protein source due to its rapid growth, high protein content (up to 45 % dw), and well-balanced amino acid profile. Its potential as alternative to traditional plant-based proteins is explored, focusing on the extraction and purification methods that enhance protein yield and bioactivity. Techniques, including ultrasound-assisted extraction, high-pressure processing, and pulsed electric field, are highlighted for their ability to improve protein efficiency and functionality.

Assessing glacier changes and hydrological impacts in the upper Indus Basin under CMIP6 climate scenarios.

Glaciers in the Himalaya are vital for sustaining streamflow in the Upper Indus Basin. This study quantifies future glacier mass and area changes in the Jhelum sub-basin using projections from 13 bias-corrected CMIP6 climate models under SSP245 and SSP585 scenarios. A temperature-index melt model, combined with field-validated glacier thickness, outlines, and mass balance data, is used to simulate glacier response to climate forcing.

"The Impact of Socio-Cultural Demands and Resources on Entrepreneurial Well-Being: Exploring the Moderating Role of FOMO".

This study examines the impact of socio-cultural demand and resource factors on entrepreneurial well-being, a complex interplay of fear of missing out (FOMO). A research instrument was developed and implemented on a sample of 273 entrepreneurs who were engaged in different entrepreneurship activities in India. The study employed a cross-sectional design with a non-probability technique to gather data.

Unraveling the Mechanism of Oxygen Electrocatalysis on Transition Metal-Free Single-Atom-Doped Holey Graphyne.

Design of transition metal-free electrocatalysts for energy conversion processes, such as oxygen reduction reaction (ORR) and oxygen evolution reaction (OER), holds great promise to advance the renewable energy technologies based on fuel cells and metal air batteries. Herein, a series of main group single-atom-doped holey graphyne (hG) systems for catalyzing ORR and OER using density functional theory calculations are investigated. The influence of single-atom dopants on the structure and electronic properties of hG is examined, observing a general decrease in the bandgap due to the presence of defect-like dopant states near the Fermi level, which facilitates enhanced charge transfer from the doped hG systems to the ORR/OER intermediates.

Half-metallic ferromagnetism and thermoelectric-efficient behavior in chalcogenide spinels MgNiX (X = S, Se): a first-principles approach.

We present a comprehensive first-principles investigation of the structural, electronic, magnetic, thermoelectric, and optical properties of MgNiX (X = S, Se) spinels. Both compounds are confirmed to be mechanically and dynamically stable in the cubic 3̄ structure. Energy-volume calculations establish ferromagnetism as the ground state, and phonon dispersion curves obtained density functional perturbation theory (DFPT) exhibit no imaginary frequencies, confirming dynamic stability.

The Academic Impact Level of Ophthalmology Journals Published in Türkiye: A Comparative Scientometric Analysis.

Objectives: This study set out to comprehensively analyze and compare the scientific impact, productivity, and collaboration networks of seven ophthalmology journals published in Türkiye, using the Dimensions, Tübitak/Ulakbim and SCImago databases.

Methods: The study examined various bibliometric indicators, including publication count, citation count, percentage of cited publications, self-citation ratio, field citation ratio (FCR), and relative citation ratio (RCR). In addition, the collaboration networks for each journal were analyzed in terms of the number of authors, co-authorship links, total co-authorships, and the number of co-authorship clusters.

MPNN-CWExplainer: An enhanced deep learning framework for HIV drug bioactivity prediction with class-weighted loss and explainability.

Aims: Human Immunodeficiency Virus (HIV) remains a critical global health concern due to its impact on the immune system and its progression to Acquired Immunodeficiency Syndrome (AIDS) if untreated. While antiretroviral therapy has advanced significantly, challenges such as drug resistance, adverse effects, and viral mutation necessitate the development of novel therapeutic strategies. This study aims to improve HIV bioactivity prediction and provide interpretable insights into molecular determinants influencing bioactivity.

Quercetin infused starch matrix as a sustainable approach to smart packaging: A comprehensive review.

Starch-quercetin films characterize an innovative approach in the development of functional packaging solutions with sustainable and biodegradable characteristics in materials used in food industry. The quercetin bioactive attributes induced in the starch polymers exhibit incredible antioxidant, antimicrobial as well and mechanical and barrier properties. The free radical-scavenging activity offered by quercetin protects the packaged food from oxidative rancidity, while its antimicrobial properties help control foodborne pathogens, thereby extending the shelf life of perishable products.

A comprehensive multi-omics approach for understanding common bean's (Phaseolus vulgaris L.) response to phosphorus stress.

Common bean (Phaseolus vulgaris) is one of the most important legume crops for human consumption because of its nearly perfect nutritional composition. However, the crop yield is invariably constrained by phosphorus (P) stress across all farming systems. The present study aimed to unravel the mechanistic basis of common bean response to P stress at the early vegetative phase using an integrated multi-omic approach.

Glutamine Metabolism: Molecular Regulation, Biological Functions, and Diseases.

Glutaminolysis, the metabolic process of converting glutamine into key intermediates, plays an essential role in cellular energy production, signaling, biosynthesis, and redox balance. Deregulation of glutamine metabolism significantly influences various pathological conditions, including cancers and metabolic and neurological diseases. Emerging evidence shows that long noncoding RNAs (lncRNAs), circular RNAs (circRNAs), and oncogenic alterations in glutamine transporters and enzymes enhance glutamine's role as an alternative energy source, supporting cell survival and proliferation under nutrient and oxygen deprivation conditions.

A Novel Alpha-Power X Family: A Flexible Framework for Distribution Generation with Focus on the Half-Logistic Model.

This study introduces a new and flexible class of probability distributions known as the novel alpha-power X (NAP-X) family. A key development within this framework is the novel alpha-power half-logistic (NAP-HL) distribution, which extends the classical half-logistic model through an alpha-power transformation, allowing for greater adaptability to various data shapes. The paper explores several theoretical aspects of the proposed model, including its moments, quantile function and hazard rate.

Exploring Group Interaction Patterns of Meso-Substituted Porphyrinoids on the Alkaline Electrochemical Water Splitting.

In this article, we explore the impact of chloro (-Cl), methyl (-Me), and methoxy (-OMe) functional groups at the meso-position of copper-derived tetraphenylporphyrin (CuTPP) on water-splitting half-reactions. The nature of meso-substituents significantly alters the electron density of the central Cu atom and also influences the electron density in the porphyrin ring backbone. Cyclic voltammetry (CV) and X-ray photoelectron spectroscopy (XPS) were employed to analyze the electron density in the substituted porphyrin system.

RNAS-sgRNA: Recurrent Neural Architecture Search for Detection of On-Target Effects in Single Guide RNA.

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/Cas9 is a leading genomic editing tool, but its effectiveness is limited by considerable heterogeneity in target efficiency among different single guide RNAs (sgRNA). This study presents RNAS-sgRNA, a hybrid model that integrates neural architecture search (NAS) with recurrent neural networks (RNN) to evaluate the on-target efficacy of CRISPR/Cas9 sgRNA. The RNAS-sgRNA model automates architectural discovery, improving sgRNA sequence categorization without considerable manual adjustment.

Novel C-3 and C-20 derived analogs of betulinic acid as potent cytotoxic agents: design, synthesis, and studies.

In this report, novel derivatives of betulinic acid were designed and synthesized by targeting the C-3-OH group and C-20 olefinic bond in an endeavour to develop potent antitumor agents. These analogs were screened for their anticancer activity against six different human cancer cell lines including breast cancer MCF-7, lung cancer A549, colon cancer HCT-116, leukemia MOLT-4, prostate carcinoma cell PC-3 and pancreatic cancer cell Miapaca-2 by MTT assay. Many derivatives displayed better cytotoxicity than the parent compound BA.

Human papilloma virus infection drives unique metabolic and immune profiles in head and neck and cervical cancers: implications for targeted therapies and prognostic markers.

Human papillomavirus (HPV) is a key driver of head and neck squamous cell carcinoma (HNSCC) and cervical squamous cell carcinoma (CESC). Yet, these cancers exhibit distinct molecular and clinical features influenced by HPV status. This study utilizes RNA sequencing data from The Cancer Genome Atlas (TCGA).

Human papilloma virus (HPV) mediated cancers: an insightful update.

Human papillomavirus (HPV), a DNA virus, is a well-documented causative agent of several cancers, including cervical, vulvar, vaginal, penile, anal, and head & neck cancers. Major factors contributing to HPV-related cancers include persistent infection and the oncogenic potential of particular HPV genotypes. High-risk HPV strains, particularly HPV-16 and HPV-18, are responsible for over 70% of cervical cancer cases worldwide, as well as a significant proportion of other genital and head and neck cancers.

An Updated Review on Exploring Hydrocolloids Application in Food Matrix: Current Insights Into Fruit, Bakery, Meat, and Dairy Based Products.

This concise review provides a current overview of hydrocolloid applications across various food products, including fruit, bakery, meat, and dairy products. Hydrocolloids are gaining popularity for their role in producing healthier and high-quality food products that meet consumer expectations. Hydrocolloids are used in fruit-based products such as purees, jams, jellies, fruit fillings, juices, and fruit leathers to enhance textural stability by preventing syneresis and improving nutritional value as well as their consumer appeal.

CNN-TumorNet: leveraging explainability in deep learning for precise brain tumor diagnosis on MRI images.

Introduction: The early identification of brain tumors is essential for optimal treatment and patient prognosis. Advancements in MRI technology have markedly enhanced tumor detection yet necessitate accurate classification for appropriate therapeutic approaches. This underscores the necessity for sophisticated diagnostic instruments that are precise and comprehensible to healthcare practitioners.

Corrigendum to "Advances in detection technology for authentication of vegetable oils: A comprehensive review" [Heliyon Volume 10, Issue 15, August 15, 2024, Article e34759].

[This corrects the article DOI: 10.1016/j.heliyon.

Prognostic value of circulating HPV cell-free DNA in cervical cancer using liquid biopsy.

Liquid biopsies, which analyze circulating tumor cells or cell-free circulating tumor DNA (ctDNA) from blood, have emerged as promising cancer detection and monitoring tools. Specifically, human papillomavirus (HPV) cell-free (cf) DNA is gaining recognition as a prognostic marker in high-risk HPV-related cancers. However, detecting circulating markers for cervical cancer (CC) requires highly sensitive techniques to quantify circulating HPV DNA.

Increasing Octupole Collectivity across the Z=64 Isotopic Chain: B(E3) Values in ^{150}Gd.

An enhanced electric octupole (E3) strength of 45(5) W.u. has been measured for the 3^{-}→0^{+} transition in ^{150}Gd, providing direct evidence for large octupole collectivity in this nucleus.

Classification, techno-functional properties, and applications of diverse hydrocolloids in fruits-based products: A concise review.

Hydrocolloids play a crucial role in enhancing the quality of fruit-based products, aligning with global demands for healthier and more sustainable food options. This review highlights the latest advancements in the application of plant-based, algae-based, animal-based, microorganism-based, and chemically modified hydrocolloids in fruit purees, fruit leathers, fruit juices, and fruit fillings. This work highlights the importance of hydrocolloids in enhancing the textural stability, thermal properties, and nutritional retention of fruit-based products, while maintaining their desirable sensory attributes.

Emerging antibiotic pollution and its remedy by waste based biochar adsorbents: a review.

One of the pollutants of emerging concern, antibiotics, have been reported in soil, water, sediment, animal manure, food, and even drinking water. Their partially metabolized forms reach wastewater treatment plants (WWTPs) and natural waters wherein the development of antibiotic resistant bacteria (ARB) and dissemination of antibiotic resistance genes (ARGs) have been reported to occur. Antimicrobial resistance (AMR) is projected to cause 10 million deaths annually across the world by 2050 in case stringent measures are not taken.