A Comprehensive Review of Phenolic Compounds in Chia Seeds and Their Applications in the Food Industry.

Chia seeds (Salvia hispanica L.) have emerged as a significant focus in the food industry due to their rich nutritional profile and health-promoting attributes. They are a major powerhouse of bioactive compounds such as flavonoids, phenolic acids, and tocopherols that have been shown to possess anti-inflammatory, anti-diabetic, anti-cholesterol functions, enhance cognitive performance, and improve heart health.

The potential of seaweed-derived polysaccharides as sustainable biostimulants in agriculture.

Seaweed polysaccharides such as alginate, carrageenan, agar, and ulvan are emerging as key bioresources in sustainable agriculture due to their unique structural characteristics and functional properties. This review highlights their potential as eco-friendly biostimulants capable of enhancing soil health, plant growth, and stress resilience. Specific mechanisms, including the gel-forming capacity of alginate, ion exchange abilities, and the hydrophilic nature of these polysaccharides, enable improved water retention, nutrient uptake, and plant productivity under adverse conditions, including drought, salinity, and extreme temperatures.

Retraction notice to "Photocatalytic degradation of organic synthetic dyes and textile dyeing waste water by Al and F co-doped TiO nanoparticles" [Environ. Res. 206 (2022) 112492].

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).

Expression of Agrobacterium Isopentenyl transferase (IPT) gene in wheat improves drought tolerance.

Drought, as an abiotic stressor, globally limits cereal productivity, leading to early aging of leaves and lower yields. The expression of the isopentenyl transferase (IPT) gene, which is involved in cytokinin (CK) biosynthesis, can delay drought-induced leaf senescence. In this study, the Agrobacterium Isopentenyl transferase (IPT) gene was introduced into two local hexaploid wheat cultivars, NR-421 and FSD-2008.

Whole-Genome Sequencing of Antimicrobial Resistant , a Novel Sequence Type 5655 from Retail Fish Market, Assam, India.

is a recently described species that can be differentiated from . However, in clinical settings, they are frequently misidentified as . In this study, our objective was to conduct genomic characterization and bioinformatics analysis of subsp.

A comparative study of topological entropy characterization and graph energy prediction for Marta variants of covalent organic frameworks.

Covalent organic frameworks are a novel class of porous polymers, notable for their crystalline structure, intricate frameworks, defined pore sizes, and capacity for structural design, synthetic control, and functional customization. This paper provides a comprehensive analysis of graph entropies and hybrid topological descriptors, derived from geometric, harmonic, and Zagreb indices. These descriptors are applied to study two variations of Marta covalent organic frameworks based on contorted hexabenzocoronenes.

Mechanochemical Synthesis of Diclofenac Conjugates with Glucosamine and Chitosan Exhibiting COX-2 Selective Ulcer Safe Anti-inflammatory Activity.

Introduction: Non-steroidal anti-inflammatory drugs are associated with severe gastrointestinal irritation upon prolonged use, largely due to their carboxylic (-- COOH) functional group.

Aim: To address this issue, we aimed to synthesize diclofenac conjugates with glucosamine and chitosan, converting the -COOH group into an amide (-CONH-) via a mechanochemical, environmentally friendly method.

Method: In this study, diclofenac acid was first converted to its acid chloride using thionyl chloride under mechanochemical conditions and subsequently reacted with glucosamine base and chitosan.

Potential of Nature-Derived Biopolymers for Oral Applications- A Review.

In recent years, there has been a growing emphasis on the "back-to-nature" movement, which has brought biopolymers derived from natural sources into the spotlight. These biopolymers are gaining attention for their versatile surface-active properties, anti-adhesive capabilities, excellent biocompatibility, non-toxicity, biodegradability, and antimicrobial effectiveness against a wide range of oral microorganisms, including both bacteria and fungi. Researchers have been actively modifying these eco-friendly, nature-based biopolymers to enhance their interaction with surrounding cells and tissues, improving their performance in vivo.

Deep eutectic solvent-based green extraction of Strychnos potatorum seed phenolics: Process optimization via response surface methodology and artificial neural network.

The current research focused on extraction optimization of bioactive compounds from Strychnos potatorum seeds (SPs) using an eco-friendly glycerol-sodium acetate based deep eutectic solvent (DES). The optimization was accomplished using response surface methodology (RSM) and artificial neural networking (ANN). The independent variables included shaking time (A), temperature (B), and solvent-to-feed ratio (C), and the responses were the extraction yield, total phenolic content (TPC), total flavonoid content (TFC), antioxidant activity (DPPH), and antidiabetic activity (α-amylase inhibitory activity).

The challenges experienced by collegiate athlete cancer survivors.

Purpose: The growing number of athletes diagnosed with cancer requires a better understanding of their background, experiences, and specific goals to provide personalized care. Therefore, the purpose of this study was to explore the lived experiences of collegiate athletes in the United States diagnosed with cancer, reflecting on various barriers and challenges because of their cancer diagnosis, as they relate to their athletic participation and educational experiences.

Methods: This qualitative study used a phenomenological approach to study the nature and states of lived experiences in collegiate athlete cancer survivors diagnosed with cancer between the ages of 10 and 39 years old.

Comparative genetic diagnostic evaluation of pediatric neuromuscular diseases in a consanguineous population.

Neuromuscular diseases (NMD) are a group of neurological diseases that manifest with various clinical symptoms affecting different components of the peripheral nervous system, which play a role in voluntary body movements control. The primary objective of this study is to explore the diagnostic efficacy of a combined genetic and biochemical testing approach for patients with neuromuscular diseases with diverse presentations in a population with high rate of consanguinity. Genetic testing was performed using selected Next Generation Sequencing (NGS) gene panels and whole exome sequencing on the peripheral blood sample from the patients.

ViroNia: LSTM based proteomics model for precise prediction of HCV.

Classification of viruses carries important implications in terms of understanding their evolution and the designing of interventions. This study introduces ViroNia as a novel LSTM-based system specifically meant for high-accuracy classification of viral proteins. Although originally developed for generative tasks, LSTM architectures have been found to be highly efficient for classification tasks as well; the model demonstrates this capability.

CustOmized versus standard fundal-height measuREments for the detection of small-for-gestational age fetuses in low-risk women (CORE study): A randomized controlled trial.

Objective: To compare the proportion of small-for-gestational age (SGA) infants detected by routine care versus a growth assessment protocol using customized fundal-height charts in low-risk pregnancies of a developing country.

Methods: An open label randomized controlled trial was conducted at the Fatima Memorial Hospital (NUR International University, Pakistan). Low-risk pregnant women were randomly allocated to routine care (Mcdonald's rule for fundal height measurements followed by referral for scan with discrepancy of 3 cm from gestational age and a contingency third trimester scan) or the growth assessment protocol (GAP) developed by the Perinatal Institute (UK), which consists of the use of gestation-related optimal weight (GROW) customized charts, alongside management protocols for suspected SGA fetuses, audit tools and training.

Predicting the victims of hate speech on microblogging platforms.

Hate speech constitutes a major problem on microblogging platforms, with automatic detection being a growing research area. Most existing works focus on analyzing the content of social media posts. Our study shifts focus to predicting which users are likely to become targets of hate speech.

An efficient combined intelligent system for segmentation and classification of lung cancer computed tomography images.

Background And Objective: One of the illnesses with most significant mortality and morbidity rates worldwide is lung cancer. From CT images, automatic lung tumor segmentation is significantly essential. However, segmentation has several difficulties, such as different sizes, variable shapes, and complex surrounding tissues.

Toxic Dye Degradation Employing Phoenix dactylifera Seed Extract for the Green Synthesis of Silver Nanoparticles: Characterization and Application.

This research highlights the facile green synthesis of silver nanoparticles (AgNPs) using Phoenix dactylifera seed extracts and its photocatalytic application for the degradation of toxic dyes. The AgNPs synthesis was confirmed by the appearance of its representative absorption peak at 416 nm in UV-visible absorption spectroscopy. Moreover, the reduction of silver ions to Ag was justified through Fourier transform infrared (FTIR) spectroscopy.

Embryonic Flubendiamide Exposure Alters Expression of OTX2 and Other Early Regulators in Domestic Chick Leading to Congenital Eye Defects.

Flubendiamide, a phthalic acid diamide insecticide, has been implicated in potential teratogenic effects on non-target organisms, especially during embryonic development. This study examines the impact of flubendiamide on eye development in chick embryos, a well-established model for vertebrate development. Exposure to 0.

Exploring mesenchymal stem cells homing mechanisms and improvement strategies.

Mesenchymal stem cells (MSCs) are multipotent cells with high self-renewal and multilineage differentiation abilities, playing an important role in tissue healing. Recent advancements in stem cell-based technologies have offered new and promising therapeutic options in regenerative medicine. Upon tissue damage, MSCs are immediately mobilized from the bone marrow and move to the injury site via blood circulation.

Luminescent Tb/Sm co-doped hydroxyapatite nanoparticles as an imaging probe in N2a cells.

This work reports the synthesis of hydroxyapatite (HAp) nanoparticles co-doped with trivalent terbium (Tb) and samarium (Sm) ions by a surfactant free chemical precipitation method. Co-doping enables to combine the optical properties of Tb and Sm ions. Characterization techniques like X-Ray diffraction (XRD), transmission electron microscopy (TEM), Fourier transform infrared (FTIR) spectroscopy, inductively coupled plasma-optical emission spectroscopy (ICP-OES), energy dispersive X-ray spectroscopy (EDX) were used to determine the crystalline and structural properties.

Unlocking the Therapeutic and Antimicrobial Potential of L. Seed Kernel Oil.

The L. (bitter apricot) is an apricot fruit tree categorized on the basis of the bitter taste of its seed kernel. In this study, the functional, medicinal, and therapeutic potential of bitter apricot seed kernel oil (BASKO) was evaluated.

Visualizing Scholarly Trends in Electronic Health (eHealth) Business Models: A Bibliometric Analysis.

The integration of digital health technologies with innovative business models became a crucial driver in the transformation of healthcare service delivery and management worldwide. As the adoption of electronic health (eHealth) solutions grows, there is increasing scholarly interest in understanding and optimizing these models. This paper reviewed the literature on eHealth business models from 1991 to 2024 through a bibliometric analysis of 1,118 documents published across 711 sources.

Fault-tolerant partition resolvability of cycle with chord.

In the realm of connected networks, distance-based parameters, particularly the partition dimension of graphs, have extensive applications across various fields, including chemistry and computer science. A notable variant of the partition dimension is the fault-tolerant resolving partition, which is critical in computer science for networking, optimization, and navigation tasks. In networking, fault-tolerant partitioning ensures robust communication pathways even in the event of network failures or disruptions.

Microbial activity, community composition and degraders in the glyphosate-spiked soil are driven by glycine formation.

Widely-used glyphosate may produce aminomethylphosphonic acid (AMPA), glycine and sarcosine. To date, little is known about effects of these degradation products on soil microorganisms and their potential degraders. Here, we incubated a soil spiked either with 2-C-glyphosate, C-AMPA, C-sarcosine or C-glycine for 75 days.