Edible Coating Based on Alginate Nanoparticles Containing Menthol and Essential Oil: Effect on the Shelf Life of Chicken Thigh in the Refrigerator.

Chicken thigh is a popular and widely consumed meat product. However, its high moisture content and susceptibility to microbial spoilage limit its shelf life. To address this issue, we investigated the efficacy of an edible coating based on alginate nanoparticles (AlgNPs) containing menthol, essential oil (EO), or their combination for extending the shelf life of chicken thigh.

Fabrication of Cu@Ag core-shell/nafion/polyalizarin: Applications to simultaneous electrocatalytic oxidation and reduction of nitrite in water samples.

In this study, a Cu@Ag core-shell was synthesized using a co-precipitation method. To create a new electrochemical sensor, a Cu@Ag core-shell with conductive polymers such as polyalizarin yellow R (PA) and Nafion (Nf) was immobilized on the surface of a glassy carbon electrode (Cu@Ag-Nf/PA/GCE). X-ray diffraction analysis (XRD), energy dispersive X-ray analysis (EDX), transmission electron microscopy (TEM), and Fourier Transform Infrared Spectroscopy (FTIR) techniques were employed to characterize the Cu@Ag-Nf/PA/GCE.

T1-contrast enhanced MRI generation from multi-parametric MRI for glioma patients with latent tumor conditioning.

Background: Gadolinium-based contrast agents (GBCAs) are commonly used in MRI scans of patients with gliomas to enhance brain tumor characterization using T1-weighted (T1W) MRI. However, there is growing concern about GBCA toxicity. This study develops a deep-learning framework to generate T1-postcontrast (T1C) from pre-contrast multiparametric MRI.

The evolving trajectory of conjunction use in the ELT research articles.

The present study was aimed at a diachronic investigation of conjunction as a grammatical cohesive device in ELT research articles. A total number of 100 research articles concentrating on teaching writing skills in the EFL context, and were released in two extremes of 1980-82 and 2020-22 were selected. The caution was taken to choose the papers which were written by expert English writers.

Preparation and characterization of oleo-gum-resin-loaded electrospun nanofibers and evaluating its wound healing activity in two rat models of skin scar and burn wound.

Background: A growing body of research is dedicated to developing new therapeutic agents for wound healing with fewer adverse effects. One of the proceedings being taken today in wound healing research is to identify promising biological materials that not only heal wounds but also vanish scarring. The effectiveness of nanofibers like polyvinyl alcohol (PVA), in improving wound healing can be related to their unique properties.

Daily river flow simulation using ensemble disjoint aggregating M5-Prime model.

Accurate prediction of daily river flow ( ) remains a challenging yet essential task in hydrological modeling, particularly crucial for flood mitigation and water resource management. This study introduces an advanced M5 Prime (M5P) predictive model designed to estimate as well as one- and two-day-ahead river flow forecasts (i.e.

Comparative Assessment of Post-Fatigue Resistance of Mandibular First Molars Restored With Polyether Ether Ketone and Lithium Disilicate Endocrowns.

Contemporary dentistry focuses on more conservative treatment options such as endocrown restorations and application of dental materials with higher resemblance to tooth structure. Polyether ether ketone (PEEK) polymer is a material used for the fabrication of endocrowns. This study aimed to compare the post-fatigue resistance (PFR) of mandibular first molars restored with PEEK and lithium disilicate (LS) endocrown restorations.

Recombinant Production of Ib-AMP4 and Oncorhyncin II Antimicrobial Peptides and Antimicrobial Synergistic Assessment on the Treatment of Staphylococcus aureus Under in vitro Condition.

Background: Methicillin-resistant Staphylococcus aureus (MRSA) is a significant and prevalent pathogen that poses a major challenge in healthcare environments. In light of the growing threat posed by multidrug-resistant organisms like MRSA, there is an urgent need for alternative therapeutic strategies. One promising avenue of research involves the use of antimicrobial peptides (AMPs).

The relationship between the recurrence rate of genital warts and administration of quadrivalent human papilloma virus vaccine in women.

In this cohort study a total of 203 women with genital warts, who were referred to gynecology clinic of Shahid Muftah in Yasuj city between 2019 and 2022, were examined and treated by a gynecologist and trained for injection of three doses of Gardasil vaccine after treatment. Of these, 138 women completed the study. Half of them who received three doses of the Gardasil vaccine, aligned in vaccinated group and the other half served as the unvaccinated group.

Application of artificial intelligence in triage in emergencies and disasters: a systematic review.

Introduction And Objective: Modern and intelligent triage systems are used today due to the growing trend of disasters and emergencies worldwide and the increase in the number of injured people facing the challenge of using traditional triage methods. The main objective of this study is to investigate the application of artificial intelligence and Technology in the triage of patients injured by disasters and emergencies and the challenges of the implementation of intelligent triage systems.

Method: The present study is a systematic review and follows PRISMA guidelines.

Evaluation of , and genes polymorphisms in children with dental caries compared to caries-free controls.

Dental caries is a complex condition that results from a combination of genetic and environmental factors. Several genes have been found to play a role in teeth development and have been associated with various dental traits. In this study, our objective was to examine the potential correlation between the ectodysplasin a receptor (EDAR)-associated death domain (EDARADD), Lactoperoxidase (LPO) and Actinin Alpha 2 (ACTN2) gene polymorphisms and susceptibility to dental caries.

Deep learning based apparent diffusion coefficient map generation from multi-parametric MR images for patients with diffuse gliomas.

Purpose: Apparent diffusion coefficient (ADC) maps derived from diffusion weighted magnetic resonance imaging (DWI MRI) provides functional measurements about the water molecules in tissues. However, DWI is time consuming and very susceptible to image artifacts, leading to inaccurate ADC measurements. This study aims to develop a deep learning framework to synthesize ADC maps from multi-parametric MR images.

Effects of Curcumin in Free and Phytosomal Forms on the Expression of T Helper1 and Regulatory T Cells' Transcription Factors in Collagen-Induced Arthritis.

Background: Curcumin as a polyphenolic compound has a potential capacity to reduce autoimmune reactions by skewing the balance of Thelper1 (Th1)/regulatory T cells (Treg) toward Treg cells. However, the low absorption and bioavailability of this agent have prompted researchers to use various drug delivery systems such as phytosomes to reduce these drawbacks. To date, few studies have evaluated the effects of phytosomal curcumin (nano-curcumin) on immune responses.

How the Aliphatic Glycol Chain Length Determines the Pseudoeutectic Composition in Biodegradable Isodimorphic poly(alkylene succinate--caprolactone) Random Copolyesters.

We synthesize four series of novel biodegradable poly(alkylene succinate--caprolactone) random copolyesters using a two-step ring-opening/transesterification and polycondensation process with ε-caprolactone (PCL) as a common comonomer. The second comonomers are succinic acid derivatives, with variations in the number of methylene groups () in the glycol segment, = 2, 4, 8, and 12. The obtained copolyesters were poly(ethylene succinate--PCL) (ESCL), poly(butylene succinate--PCL) (BSCL), poly(octamethylene succinate--PCL) (OSCL), and poly(dodecylene succinate--PCL) (DSCL).

Superconcentration Strategy Allows Sodium Metal Compatibility in Deep Eutectic Solvents for Sodium-Ion Batteries.

Sodium-ion batteries (SIBs) are a more sustainable alternative to lithium-ion batteries (LIBs) considering the abundance, global distribution, and low cost of sodium. However, their economic impact remains small compared to LIBs, owing in part to the lag in materials development where significant improvements in energy density and safety remain to be realized. Deep eutectic solvents (DESs) show promise as alternatives to conventional electrolytes in SIBs because of their nonflammable nature.

Protein kinase N1 deficiency results in upregulation of cerebral energy metabolism and is highly protective in in vivo and in vitro stroke models.

Background And Aim: We recently identified protein kinase N1 (PKN1) as a master regulator of brain development. However, its function in the adult brain has not been clearly established. In this study, we assessed the cerebral energetic phenotype of wildtype (WT) and global Pkn1 knockout (Pkn1) animals under physiological and pathophysiological conditions.

Salt stress memory in tall fescue: Interaction of different stress stages, pollination system and genetic diversity.

Introduction: The effects of salinity memory and its interaction with genetic diversity for drought tolerance and pollination system in terms of morphological, physiological, root characteristics and spectral reflectance indices (SRIs) in tall fescue is still unknown.

Methods: Four tall fescue genotypes (two drought-sensitive and two drought-tolerant) were manually controlled to produce four selfed (S1) and four open-pollinated (OP) progeny genotypes (finally eight progeny genotypes). Then all genotypes were assessed for two years in greenhouse under five salinity treatments including control treatment (C), twice salinity stress treatment (primary mild salinity stress in two different stages and secondary at the end stage) (S1t1S2 and S1t2S2), once severe salinity stress treatment (secondary only, S2), and foliar spray of salicylic acid (SA) simultaneously with secondary salinity stress (H2S2).

Glucose-1,6-bisphosphate: A new gatekeeper of cerebral mitochondrial pyruvate uptake.

Objective: Glucose-1,6-bisphosphate (G-1,6-BP), a byproduct of glycolysis that is synthesized by phosphoglucomutase 2 like 1 (PGM2L1), is particularly abundant in neurons. G-1,6-BP is sensitive to the glycolytic flux, due to its dependence on 1,3-bisphosphoglycerate as phosphate donor, and the energy state, due to its degradation by inosine monophosphate-activated phosphomannomutase 1. Since the exact role of this metabolite remains unclear, our aim was to elucidate the specific function of G-1,6-BP in the brain.

Measuring personal characteristics in applicants to German medical schools: Piloting an online Situational Judgement Test with an open-ended response format.

Objectives: Situational Judgement Tests (SJT) are a cost-efficient method for the assessment of personal characteristics (e.g., empathy, professionalism, ethical thinking) in medical school admission.

Classification of mental workload with EEG analysis by using effective connectivity and a hybrid model of CNN and LSTM.

Estimation of mental workload from electroencephalogram (EEG) signals aims to accurately measure the cognitive demands placed on an individual during multitasking mental activities. By analyzing the brain activity of the subject, we can determine the level of mental effort required to perform a task and optimize the workload to prevent cognitive overload or underload. This information can be used to enhance performance and productivity in various fields such as healthcare, education, and aviation.

AutoCorNN: An Unsupervised Physics-Aware Deep Learning Model for Geometric Distortion Correction of Brain MRI Images Towards MR-Only Stereotactic Radiosurgery.

Geometric distortions in brain MRI images arising from susceptibility artifacts at air-tissue interfaces pose a significant challenge for high-precision radiation therapy modalities like stereotactic radiosurgery, necessitating sub-millimeter accuracy. To achieve this goal, we developed AutoCorNN, an unsupervised physics-aware deep-learning model for correcting geometric distortions. Two publicly available datasets, the MPI-Leipzig Mind-Brain-Body with 318 subjects, and the Vestibular Schwannoma-SEG dataset, encompassing 242 patients were utilized.

A novel stabilized artificial neural network model enhanced by variational mode decomposing.

Existing artificial neural networks (ANNs) have attempted to efficiently identify underlying patterns in environmental series, but their structure optimization needs a trial-and-error process or an external optimization effort. This makes ANNs time consuming and more complex to be applied in practice. To alleviate these issues, we propose a stabilized ANNs, called SANN.

Effect of Low-Level Laser Therapy on the Osseointegration of Immediately Loaded Implants with a Connective Tissue Graft: A Randomized Clinical Trial.

This study assessed the effect of low-level laser therapy (LLLT) on the osseointegration of immediately loaded implants with a connective tissue graft (CTG). This clinical trial was conducted on patients with buccal bone dehiscence requiring dental implants. A CTG was harvested from the palate and placed in the labial side by considering the 2 mm distance between the implant thread and bone.