Exploring nonlinear chaotic systems with applications in stochastic processes.

This manuscript explores the stability theory of several stochastic/random models. It delves into analyzing the stability of equilibrium states in systems influenced by standard Brownian motion and exhibit random variable coefficients. By constructing appropriate Lyapunov functions, various types of stability are identified, each associated with distinct stability conditions.

ADME, Toxicity, Molecular Docking, Molecular Dynamics, Glucokinase activation, DPP-IV, α-amylase, and α-glucosidase Inhibition Assays of Mangiferin and Friedelin for Antidiabetic Potential.

The study investigates the inhibitory properties of Mangiferin and Friedelin against glucokinase, DPP-IV, α-amylase, and α-glucosidase using computational methods, in vitro enzyme assays, and in-depth ADMET analysis. The study utilized a computer-aided drug design approach to assess the potential therapeutic properties of Mangiferin and Friedelin as T2DM therapeutic agents. Molecular docking studies' outcomes encouraged the evaluation of both compounds in in vitro enzymatic assays.

Sun Exposure Awareness and Sunscreen Use Among College Students in Saudi Arabia: A Cross-Sectional Analysis.

Background: Excessive sun exposure is a significant risk factor for various skin conditions, including sunburn, premature aging, and skin cancer. This study aimed to assess the awareness, attitudes, and practices regarding sun exposure and sunscreen use among college students in Saudi Arabia.

Methodology: A cross-sectional study was conducted with 388 college students from various disciplines.

Unveiling the potential of Cu-Pd/CdS catalysts to supply and rectify electron transfer for H generation from water splitting.

As a future fuel, obtaining hydrogen from water could be a game changer for the renewable energy sector, because it has the potential to be used as an alternative to fossil fuels. The current project has been designed to develop catalysts that can produce hydrogen from water on irradiation by sunlight. For this purpose, CdS, Cu/CdS, Pd/CdS, and Cu-Pd/CdS catalysts were successfully synthesised and utilized for hydrogen generation.

Optical, Opto-Mechanical, and Antimicrobial Characterization of TiO and ZnO-Enhanced Polypropylene Fibers Using Interferometric Techniques and Fourier Transform Analysis.

This study investigates the optical, mechanical, and antimicrobial properties of polypropylene (PP) fibers enhanced with titanium dioxide (TiO) and zinc oxide (ZnO) nanoparticles. Using a Mach-Zehnder interferometric system, we examined the refractive indices, birefringence, and opto-mechanical behavior of blank PP, PP/TiO, and PP/ZnO nanocomposite fibers under various conditions, including different polarization orientations and during cold drawing processes. The 2D Fourier transform algorithm is employed to analyze interferometric data, enabling precise measurements of refractive index profiles and birefringence.

Burnout Among Primary Healthcare Nurses: A Study of Association With Depression, Anxiety and Self-Efficacy.

Burnout is a significant issue among healthcare professionals, particularly nurses, due to high workloads and emotional demands. However, limited research has explored burnout among primary healthcare nurses in Saudi Arabia, who play a vital role in healthcare delivery. This study aims to address this gap by investigating burnout levels and their association with anxiety, depression and self-efficacy among primary healthcare nurses.

Pathological roles of lncRNA HOTAIR in liver cancer: An updated review.

Liver cancer ranks as the sixth most prevalent form of cancer and stands as the fourth leading cause of cancer-related fatalities on a global scale. The two primary types of liver cancer are hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC). While ICC originates from the bile ducts, HCC develops from hepatocytes, which are the primary functional cells of the liver.

Exosome-mediated delivery of CRISPR-Cas9: A revolutionary approach to cancer gene editing.

Several molecular strategies based on targeted gene delivery systems have been developed in recent years; however, the CRISPR-Cas9 technology introduced a new era of targeted gene editing, precisely modifying oncogenes, tumor suppressor genes, and other regulatory genes involved in carcinogenesis. However, efficiently and safely delivering CRISPR-Cas9 to cancer cells across the cell membrane and the nucleus is still challenging. Using viral vectors and nanoparticles presents issues of immunogenicity, off-target effects, and low targeting affinity.

Fibrin scaffold encapsulated with epigallocatechin gallate microspheres promote neural regeneration and motor function recovery after traumatic spinal cord injury in rats.

Traumatic spinal cord injury (TSCI) is a serious medical issue where there is a loss of sensorimotor function. Current interventions continue to lack the ability to successfully enhance these conditions, therefore, it is crucial to consider alternative effective strategies. Currently, we investigated the effects of fibrin scaffold encapsulated with epigallocatechin gallate (EGCG) microspheres in the recovery of SCI in rats.

Green coagulation and flocculation: Scenedesmus algal extract-loaded chitosan/poly(vinyl alcohol) cryogel for effective water treatment.

This study presents an eco-friendly approach to treat contaminated and turbid water through the development of cryogels loaded with bioactive compounds derived from Scenedesmus algal extract (ScAE) based on chitosan/poly(vinyl alcohol) (Cs/PVA) matrix. Scenedesmus sp., a green microalga known for its bioactive properties, was cultivated and processed to obtain extracts with coagulation potential.

Liquid biopsies and exosomal ncRNA: Transforming pancreatic cancer diagnostics and therapeutics.

Pancreatic cancer is a highly fatal malignancy due to poor early detection rate and resistance to conventional therapies. This review examines the potential for liquid biopsy as a transformative technology to identify diagnostic and therapeutic targets in pancreatic cancer. Specifically, we explore emerging biomarkers such as exosomal non-coding RNAs (ncRNAs), circulating tumor DNA (ctDNA), and circulating tumor cells (CTCs).

Effects of Physiotherapy Interventions for Poststroke Fatigue: A Systematic Review.

Background: Poststroke fatigue affects half of global patients with stroke, causing early exhaustion, weariness, and dependence. Physiotherapy interventions like exercise and aerobic training are recommended to alleviate symptoms, but their effectiveness is not well supported. This review evaluates physiotherapy's effectiveness in treating poststroke fatigue in adults.

Improving prediction of solar radiation using Cheetah Optimizer and Random Forest.

In the contemporary context of a burgeoning energy crisis, the accurate and dependable prediction of Solar Radiation (SR) has emerged as an indispensable component within thermal systems to facilitate renewable energy generation. Machine Learning (ML) models have gained widespread recognition for their precision and computational efficiency in addressing SR prediction challenges. Consequently, this paper introduces an innovative SR prediction model, denoted as the Cheetah Optimizer-Random Forest (CO-RF) model.

Association between hand grip strength and quality of life in children with cerebral palsy: a cross-sectional study.

Background: Cerebral palsy (CP) covers a wide range of causes and symptoms. It is characterized by persistent motor and postural dysfunction caused by a non-progressing pathological lesion of the immature brain. Development of fine motor skills, such as the ability to manipulate objects with smaller muscles, is crucial for a child's development.

Evaluating clinical meaningfulness of anti-β-amyloid therapies amidst amyloid-related imaging abnormalities concern in Alzheimer's disease.

Alzheimer's disease is the most prevalent form of dementia in the elderly, which is clinically characterized by a gradual and progressive deterioration of cognitive functions. The central and early role of β-amyloid in the pathogenesis of Alzheimer's disease is supported by a plethora of studies including genetic analyses, biomarker research and genome-wide association studies in both familial (early-onset) and sporadic (late-onset) forms of Alzheimer's. Monoclonal antibodies directed against β-amyloid demonstrate slowing of the clinical deterioration of patients with early Alzheimer's disease.

Innovative nanocarrier systems for enhanced delivery of phyto-active compounds in cancer therapy.

Millions of people worldwide suffer from cancer, facing challenges such as treatments affecting healthy cells, suboptimal responses, adverse effects, recurrence risk, drug resistance, and nonspecific targeting. Chemoresistance leads to fatalities, but phytoactives show promise in cancer management despite limitations such as high metabolism, poor absorption, and high dosage requirements. Challenges in the large-scale isolation of phytoactive compounds, solubility, bioavailability, and targeting limit their development.

Exosomes in infectious diseases: insights into leishmaniasis pathogenesis, immune modulation, and therapeutic potential.

Leishmaniasis continues to be a critical international health issue due to the scarcity of efficient treatment and the development of drug tolerance. New developments in the research of extracellular vesicles (EVs), especially exosomes, have revealed novel disease management approaches. Exosomes are small vesicles that transport lipids, nucleic acids, and proteins in cell signalling.

Transferable deep learning with coati optimization algorithm based mitotic nuclei segmentation and classification model.

Image processing and pattern recognition methods have recently been extensively implemented in histopathological images (HIs). These computer-aided techniques are aimed at detecting the attentive biological markers for assisting the final cancer grading. Mitotic count (MC) is a significant cancer detection and grading parameter.

Tailoring nursing interventions to empower patients: personal coping strategies and self-management in type 2 diabetes care.

Background: Diabetes is one of the most common chronic diseases that severely reduce a patient's quality of life. Effective self-care and management are critical for maintaining blood glucose levels and preventing complications.

Aim: This study evaluates the effectiveness of a structured diabetes self-management education program on patients' self-management behaviors, empowerment, and activation levels.

Assessing correlation between different temporary restorative materials for microleakage following endodontic treatment: an in-vitro study.

Background: Coronal microleakage, the passage of fluids and bacteria through the interface between the temporary restoration and the tooth structure, can potentially result in endodontic treatment failure.

Purpose: This study evaluated and compared the sealing efficacy of various temporary restorative materials utilized during endodontic procedures.

Methods: All seventy premolar teeth were extracted, measured, and restored, except for the negative control group, where the teeth were left whole.

Navigating Sensor-Skin Coupling Challenges in Magnetic-Based Blood Pressure Monitoring: Innovations and Clinical Implications for Hypertension and Aortovascular Disease Management.

Non-invasive blood pressure monitoring has emerged as a critical frontier in cardiovascular healthcare, with magnetic sensors playing an increasingly pivotal role in wearable health technologies. This comprehensive review critically examines the complex challenges of sensor-skin coupling and its profound impact on the accuracy of blood pressure measurements in patients with hypertension and aortovascular disease. Despite the growing demand for precise, real-time health monitoring, significant limitations persist in current magnetic sensor technologies.

Double extreme-cum-median ranked set sampling.

Extreme-cum-median ranked set sampling has been developed to address the problem of heterogeneity and outliers / extreme values. Double ranked set sampling has been suggested to obtain more reliable samples using the concept of degree of distinguishability. Dealing with heterogeneous and non-normal populations seems to be an area with a dearth of research.

Understanding the role of potential biomarkers in attenuating multiple sclerosis progression via multiomics and network-based approach.

Background: Multiple sclerosis (MS) is a complex neurological disorder marked by neuroinflammation and demyelination. Understanding its molecular basis is vital for developing effective treatments. This study aims to elucidate the molecular progression of MS using multiomics and network-based approach.

Metabolomics and Anticancer Potential of the Aerial Parts of Dryopteris ramosa against Cancerous Cell Lines Assisted with Advanced Computational Approaches.

Introduction: Dryopteris ramosa is a high-altitude plant of moist and shady habitat. Its aerial parts are edible and orally administered as an antibiotic and effective aphrodisiac. They are also used as pesticides, astringents, and febrifuges.

Combined and isolated effects of workstation ergonomics and physiotherapy in improving cervicogenic headache and work ability in office workers: a single-blinded, randomized controlled study.

Objective: The objective of the study is to compare and investigate the combined and individual effects of workstation ergonomics, physiotherapy and patient education in improving CgH headaches and work ability in office workers.

Methods: 96 eligible CgH participants were divided into the ergonomics modifications group (EMG;  = 24), physiotherapy group (PTG;  = 24), and ergonomics modifications combined with physiotherapy group (EPG;  = 24) and education control group (CNG;  = 24), the participants received the respective treatment for 4 weeks. Primary (CgH frequency) and secondary (CgH pain intensity, CgH disability, flexion rotation test (right and left), neck disability index and work ability) scores were measured.