Hormonal disorders in autism spectrum disorders.

Autism spectrum disorder (ASD) is a pervasive neurobehavioral condition characterized by disruption of behavioral and emotional patterns in individuals with this condition. Given that various environmental and genetic factors play a fundamental role in the pathophysiology of ASD, it can be said that ASD is a multifaceted disease. This study used scientific databases including Google Scholar, PubMed, Scopus, and Semantic Scholar.

Sargassum glaucescens Extract/Marine-Derived Collagen Blend Sponge and Their Properties for Wound Healing.

Burn wounds are challenging to treat due to considerable tissue damage and fluid loss. Creating wound dressings from natural and biological materials makes it possible to treat wounds and promote rapid epithelialization to speed healing and restore skin function. As a result, the ability of a collagen scaffold (Col) made from rainbow trout (Oncorhynchus mykiss) and putative bioactive phytochemical components from a Sargassum glaucescens (S.

Cardiovascular changes in Persian cats with polycystic kidney disease: a study of cardiac troponin I, echocardiography and blood pressure.

Objectives: Cardiovascular complications are well known in humans with autosomal dominant polycystic kidney disease (PKD), but limited data exist for cats. This study aimed to assess echocardiographic changes, cardiac troponin I (cTnI) levels and systolic blood pressure (SBP) in Persian cats with PKD to detect early cardiac abnormalities.

Methods: In total, 52 Persian and mixed-Persian cats were enrolled, with 26 cats in the control group and 26 diagnosed with PKD via ultrasound due to the unavailability of genetic testing.

Prevalence and determinants of self-medication consumption of antibiotics in adults in Iran: a population based cross-sectional study, 2019-2020.

Introduction: The self-medication of antibiotics is a global crisis, posing a significant challenge to healthcare systems worldwide. This study aimed to investigate the frequency of self-medication in the adult population and the factors influencing it.

Methods: This population-based cross-sectional study was conducted in Arak, a city in central Iran, from January 2019 to January 2020.

Association of TNF-α genetic variants with neonatal bronchopulmonary dysplasia: consolidated results.

Objectives: Inflammation is increasingly recognized as a key factor in the pathophysiology of bronchopulmonary dysplasia (BPD). While previous research has established significant links between TNF-α polymorphisms and BPD susceptibility, further validation of these associations is needed. This study aims to examine the relationship between TNF-α polymorphisms and the risk of BPD.

Genetic analysis and association detection of agronomic traits in maize genotypes.

In maize breeding, enhancing yield through genetic insights is crucial yet challenged by the complex interplay of agronomic traits. This study utilized a diallel mating design involving nine advanced early maize lines to dissect the genetic architecture underlying key agronomic traits and their impact on yield. Over two consecutive years (2018-2019 and 2019-2020), 36 hybrids derived from these lines were grown across two locations, Karaj, Alborz, Iran and Kermanshah (2019-2020), Iran, in a randomized complete block design with three replications.

Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods.

Precise estimation of rock petrophysical parameters are seriously important for the reliable computation of hydrocarbon in place in the underground formations. Therefore, accurately estimation rock saturation exponent is necessary in this regard. In this communication, we aim to develop intelligent data-driven models of decision tree, random forest, ensemble learning, adaptive boosting, support vector machine and multilayer perceptron artificial neural network to predict rock saturation exponent parameter in terms of rock absolute permeability, porosity, resistivity index, true resistivity, and water saturation based on acquired 1041 field data.

Eco-reliable operation based on clean environmental condition for the grid-connected renewable energy hubs with heat pump and hydrogen, thermal and compressed air storage systems.

Energy hubs, with their diverse regeneration and storage sources, can engage concurrently in energy transfer and storage. It is anticipated that managing the energy of these hubs within energy networks could enhance economic, environmental, and technical metrics. This article explains how electrical and thermal network hubs manage their energy consumption in the context of the multi-criteria objectives of efficiency, sustainability, reliability of the network operator, and operation.

Utilizing deterministic smart tools to predict recovery factor performance of smart water injection in carbonate reservoirs.

Smart water injection (SWI) is a practical enhanced oil recovery (EOR) technique that improves displacement efficiency on micro and macro scales by different physiochemical mechanisms. However, the development of a reliable smart tool to predict oil recovery factors is necessary to reduce the challenges related to experimental procedures. These challenges include the cost and complexity of experimental equipment and time-consuming experimental methods for obtaining the recovery factor (RF).

Optimizing concrete crack detection an echo state network approach with improved fish migration optimization.

There are numerous reasons for concrete buildings cracks, like stress loads, material flaws, and environmental impacts. It is important to find and investigate the concrete cracks during analyzing the safety and structural soundness of buildings, bridges, and other infrastructure. However, there are many models available for concrete crack detection, an efficient approach is needed because the existing methods often have flaws like overfitting, high computational complexity, and noise sensitivity, which can lead to accurate crack detection and classification.

An information gap decision theory and improved gradient-based optimizer for robust optimization of renewable energy systems in distribution network.

In this paper, a robust fuzzy multi-objective framework is performed to optimize the dispersed and hybrid renewable photovoltaic-wind energy resources in a radial distribution network considering uncertainties of renewable generation and network demand. A novel multi-objective improved gradient-based optimizer (MOIGBO) enhanced with Rosenbrock's direct rotational technique to overcome premature convergence is proposed to determine the problem optimal decision variables. The deterministic optimization framework without uncertainty minimizes active energy loss, unmet customer energy, and renewable generation costs.

Assessment of Bacteriological Quality and Antibiotic Resistance in Locally and Industrially Produced Ice Creams: A Study on Probiotic Incorporation for Enhanced Safety and Health Benefits in Kushtia City, Bangladesh.

Ice creams are consumable foods that have the potential to be used as probiotic carriers. The purpose of this study was to evaluate the bacteriological quality (i.e.

Simultaneous blockade of the CD73/EGFR axis inhibits tumor growth.

Targeting the influencing factors in tumor growth and expansion in the tumor microenvironment is one of the key approaches to cancer immunotherapy. Various factors in the tumor microenvironment can in cooperation stimulate tumor growth, suppress anti-tumor immune responses, promote drug resistance, and ultimately enhance tumor recurrence. Therefore, due to the dependence and close cooperation of these axes, their combined targeting can have a greater effect compared to their individual targeting.

Upregulation of LncRNAs G2E3-AS1 and BACE1-AS as Prognostic Biomarkers in Metastatic Colorectal Cancer.

Background: Despite the current diagnostic techniques and therapeutic methods for colorectal cancer (CRC), patients are often diagnosed at advanced stages of colorectal cancer with poor prognosis and distant metastasis. Recently, numerous investigations have highlighted the crucial role of lncRNAs in cancer development, progression, invasion, and metastasis. This study investigated less well-characterized genes in the colorectal cancer metastasis process using bioinformatics analysis and their confirmation by experimental methods.

Diagnostic potential of lncRNAs-ANRIL and MIAT in the blood of patients with cerebral venous thrombosis.

Long non-coding ribonucleic acids (lncRNAs) have been implicated as possible circulating stroke indicators. This study focused on the expression status of antisense non-coding ribonucleic acid in the INK4 locus (ANRIL) and myocardial infarction associated transcript (MIAT) in patients with cerebral venous thrombosis (CVT). In this study, fifty patients with CVT and one hundred age/gender-matched individuals as controls were included.

A CRISPR-HITI strategy approach to improve CHO cell viability by modifying the 3'UTR of Caspase 8 Associated Protein 2.

Chinese Hamster Ovary (CHO) cells are essential in biopharmaceutical manufacturing. Scientists use CRISPR to enhance productivity. mRNAs contain UTRs that regulate gene expression, affecting protein abundance.

Molecular identification of yeast communities isolated from nail specimens by PCR-RFLP and PCR-FSP methods.

Background And Purpose: Onychomycosis is a common fungal infection that affects the nails, caused by various fungal agents. Moreover, yeast onychomycosis has increased in recent years. Yeast isolates might not be identified at the species level by conventional methods, whereas molecular methods can identify yeast isolates more accurately.

A systematic review of the association between insulin resistance surrogate indices and bone mineral density.

Background: The relationship of insulin resistance with bone mineral density (BMD) remains unclear, offering an opportunity for novel indices to shed light on the matter. The aim of this review was to evaluate the association between surrogate indices of insulin resistance and BMD.

Methods: A systematic review was conducted to evaluate observational studies that examined the relationship between insulin resistance surrogate indices and BMD in adults.

Association between latent toxoplasmosis and bipolar disorder: a case-control seroprevalence study.

Background: Toxoplasma gondii (T. gondii) is the most successful obligate protozoan that can infect warm-blooded vertebrate hosts. Some researchers suggest that the presence of Toxoplasma cysts in the brain can lead to mental disorders.

Highly sensitive detection of Staphylococcus aureus α-hemolysin protein (Hla or α-toxin) by apta-qPCR.

Alpha-toxin of Staphylococcus aureus belongs to the pore-forming toxin (PFT) family, which can lyse red and white blood cells. In addition to the existence of the hla gene in the majority of S. aureus strains (about 95 %), higher expression exhibits enhanced pathogenicity to the bacteria.

Application of chemometrics based on digital image analysis for simultaneous determination of tartrazine and sunset yellow in food samples.

Azo dyes, such as tartrazine and sunset yellow, are widely used as affordable and stable food colorants. Accurate quantification is crucial in foods for regulatory monitoring to ensure compliance with safety standards and minimize health risks. This study developed a low-cost and eco-friendly method using digital images and chemometrics for the simultaneous determination of these dyes in food samples.

Comparison of BRCA1 Gene Expression and CA15-3 Tumor Marker Level in Different Stages of Breast Cancer.

Breast cancer (BC), a globally prevalent malignancy, shows significant variability in incidence across different geographical regions. In this study, we examined the expression of the tumor suppressor gene BRCA1 and the tumor marker CA15-3 in women diagnosed with BC, focusing on different cancer grades. Our research, conducted at the Baqiyat Elah Hospital in Tehran in 2021, involved collecting blood and serum samples from BC patients.

Effects of Vitamin D Supplementation on Serum 25-Hydroxy Cholecalciferol in Inflammatory Bowel Diseases: A Meta-Analysis of Randomized Clinical Trials.

Background: Earlier studies about the influence of vitamin D (Vit D) supplementation on patients with inflammatory bowel disease (IBD) reported inconsistent results. Current comprehensive systematic review and meta-analysis was conducted to assess the effect of Vit D supplementation on clinical and subclinical factors in patients with IBD.

Methods: PubMed, Scopus, and Web of Science databases were searched for relevant randomized controlled trials (RCTs) on the effect of Vit D supplementation in IBD patients, published up to March 2023.

The Associate between Energy-Adjusted Dietary Inflammatory Index and Periodontal Disease: A Cross-Sectional Study.

Background: Previous studies have shown that the dietary inflammatory index (DII) is associated with different health outcomes. However, few studies have investigated the relationship between DII and oral health. We aimed to assess the association between energy-adjusted dietary inflammatory index (E-DII) and periodontal disease.