Targeting necroptosis in MCF-7 breast cancer cells: In Silico insights into 8,12-dimethoxysanguinarine from Eomecon Chionantha through molecular docking, dynamics, DFT, and MEP studies.

Breast cancer remains a significant challenge in oncology, highlighting the need for alternative therapeutic strategies that target necroptosis to overcome resistance to conventional therapies. Recent investigations into natural compounds have identified 8,12-dimethoxysanguinarine (SG-A) from Eomecon chionantha as a potential necroptosis inducer. This study presents the first computational exploration of SG-A interactions with key necroptotic proteins-RIPK1, RIPK3, and MLKL-through molecular docking, molecular dynamics (MD), density functional theory (DFT), and molecular electrostatic potential (MEP) analyses.

Development and Characterization of Fusidic Acid-Loaded Alginate-Aloe vera Based Hydrogel Film.

A new fusidic acid-loaded hydrogel film was prepared via the solvent casting technique using alginate and Aloe vera. The hydrogel films were optimized using different ratios of sodium alginate, Aloe vera, and glycerin. The films containing 10% glycerin (w/w of alginate) exhibited the best appearance.

Effect of Tui-Na versus positional release techniques on pregnancy-related low back pain in the third-trimester: A randomized comparative trial.

Background: Researchers are prioritizing the development of an effective treatment approach for third-trimester pregnancy-related low back pain (LBP), a prevalent and costly disorder. Therefore, this study aimed to examine the effects of Tui-Na (TN) versus positional release techniques (PRT) on third trimester pregnancy-related LBP.

Methods: Fifty pregnant women in their third trimester with low back pain were randomly assigned to 1 of 2 groups for 4 weeks of prescribed treatment (TN or PRT).

Iron oxide nanozymes as versatile analytical tools: an overview of their application as detection technique.

Iron oxide nanozymes (IONzymes) have become fundamental components in various analyte detection methodologies such as colorimetric, electrochemistry, fluorescence and luminescence. Their tunability, stability and the possibility of modification, alongside their ability to mimic the catalytic properties of natural enzymes like peroxidase, render them invaluable in analytical chemistry. This review explores the diverse applications of IONzymes across analytical chemistry, with a particular highlighting on their roles in different detection techniques and their potential in biomedical and diagnostic applications.

Effects of freezing of gait on vertical ground reaction force in Parkinson's disease.

Vertical ground reaction force (vGRF) is a main kinetic gait analysis explaining body weight loading patterns. The study primarily aimed to understand effects of Freezing of gait (FoG) on vGRF in Parkinson's disease (PD). A secondary analysis for a walking dataset including biomechanical analyses for 26 PD participants (13 with FoG) was performed.

Are cervical curvature and axioscapular muscle activity associated with disability in patients with chronic nonspecific neck pain? - a cross sectional exploratory study.

Purpose: To ascertain the relationship between cervical curvature, neck muscle activity and neck disability in patients with chronic nonspecific neck pain (CNNP).

Methods: Ninety participants (mean age = 27.2, female/male ratio = 7/2) with CNNP volunteered.

A Comprehensive Review of the Recent Advancements in Imaging Segmentation and Registration Techniques for Glioblastoma and Focusing on the Utilization of Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) Scans.

The most common primary malignant brain tumor is glioblastoma. Glioblastoma Multiforme (GBM) diagnosis is difficult. However, image segmentation and registration methods may simplify and automate Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) scan analysis.

Potential MAO-B Inhibitors from Cissampelos Capensis L.f.: ADMET, Molecular Docking, Dynamics, and DFT Insights.

This study explores the therapeutic potential of three proaporphine alkaloids-cissamaline, cissamanine, and cissamdine, which were recently isolated from Cissampelos capensis L.f., against Parkinson's disease (PD).

Reply to Kovacs, F.M.; Seco-Calvo, J. Limitations of a Cross-Sectional Correlation Study. Comment on "Elabd et al. Prediction of Back Disability Using Clinical, Functional, and Biomechanical Variables in Adults with Chronic Nonspecific Low Back Pain. 2024, , 3980".

Herein, we reply to comments made by Kovacs and Seco-Calvo [...

Neuroprotective effect of diosmin against chlorpyrifos-induced brain intoxication was mediated by regulating PPAR-γ and NF-κB/AP-1 signals.

Chlorpyrifos (CPF) is a widely used organophosphate (OP) pesticide. Unfortunately, pesticides are known to cause neuronal intoxication. Diosmin (DS) is an antioxidant, anti-inflammatory, and neuroprotective flavonoid with high efficacy and safety.

Prediction of Back Disability Using Clinical, Functional, and Biomechanical Variables in Adults with Chronic Nonspecific Low Back Pain.

Researchers are focusing on understanding the etiology and predisposing factors of chronic nonspecific low back pain (CNSLBP), a costly prevalent and disabling disorder. Related clinical, functional, and biomechanical variables are often studied, but in isolation. We aimed to identify key factors for managing CNSLBP by examining the relationship between back disability and related clinical, functional, and biomechanical variables and developed prediction models to estimate disability using various variables.

Advanced Optoelectronic Modeling and Optimization of HTL-Free FASnI/C60 Perovskite Solar Cell Architecture for Superior Performance.

In this study, a novel perovskite solar cell (PSC) architecture is presented that utilizes an HTL-free configuration with formamide tin iodide (FASnI) as the active layer and fullerene (C60) as the electron transport layer (ETL), which represents a pioneering approach within the field. The elimination of hole transport layers (HTLs) reduces complexity and cost in PSC heterojunction structures, resulting in a simplified and more cost-effective PSC structure. In this context, an HTL-free tin HC(NH)SnI-based PSC was simulated using the solar cell capacitance simulator (SCAPS) within a one-dimensional framework.

Predictive value of D-Dimer and thromboplastin time as coagulation indicators for COVID-19 patients.

Introduction: Coronavirus 2019 symptoms include coagulopathy and thromboembolic risk. Using one parameter to diagnose coagulopathy has little predictive value.

Objective: This study will examine if D-dimer and APTT testing can predict COVID-19 severity and aid triage and manage patients.

Evaluation of five medicinal plants for the management of in stored rice and identification of insecticidal compound.

is a kind of stored grain pest. This is controlled by using natural pesticides, which are more reliable, cost-effective, biodegradable, and eco-friendly than synthetic pesticides. Several plants show different insecticidal activities against various pests on their different parts (leaves, seeds, etc.

Exploring the potential of drug repurposing for liver diseases: A comprehensive study.

Drug repurposing involves the investigation of existing drugs for new indications. It offers a great opportunity to quickly identify a new drug candidate at a lower cost than novel discovery and development. Despite the importance and potential role of drug repurposing, there is no specific definition that healthcare providers and the World Health Organization credit.

Effect of Extracorporeal Shock Wave on Upper Trapezius Trigger Points in Patients With Cervicogenic Headache: A Randomized Clinical Trial.

Objective: A recent study was designed to ascertain the impact of extracorporeal shock wave therapy on upper trapezius trigger points in cervicogenic headaches patients.

Design: A double-blinded randomized controlled trial study, in which 50 participants (11 male and 39 female) aged between 20-40 with cervicogenic headache were subdivided with randomization to group (A), which received traditional physical therapy and sham shock wave therapy, and group (B), which received traditional physical therapy and actual shock wave therapy. All assessments were performed by a therapist before and after the treatment program (4 wks).

Identifying Predictors of Neck Disability in Patients with Cervical Pain Using Machine Learning Algorithms: A Cross-Sectional Correlational Study.

(1) Neck pain intensity, psychosocial factors, and physical function have been identified as potential predictors of neck disability. Machine learning algorithms have shown promise in classifying patients based on their neck disability status. So, the current study was conducted to identify predictors of neck disability in patients with neck pain based on clinical findings using machine learning algorithms.

Role of immunotherapies and stem cell therapy in the management of liver cancer: A comprehensive review.

Liver cancer (LC) is the sixth most common disease and the third most common cause of cancer-related mortality. The WHO predicts that more than 1 million deaths will occur from LC by 2030. Hepatocellular carcinoma (HCC) is a common form of primary LC.

The Efficacy of Muscle Energy and Mulligan Mobilization Techniques for the Upper Extremities and Posture after Breast Cancer Surgery with Axillary Dissection: A Randomized Controlled Trial.

: Breast cancer surgeries affect the upper extremities and posture. This study aimed to examine the efficacy of muscle energy and Mulligan mobilization techniques on the upper extremities and posture after breast cancer surgery with axillary dissection. : A total of 90 female participants who had undergone breast cancer surgery with axillary dissection were recruited and randomly assigned to three groups.

Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms.

Widespread and ever-increasing cybersecurity attacks against Internet of Things (IoT) systems are causing a wide range of problems for individuals and organizations. The IoT is self-configuring and open, making it vulnerable to insider and outsider attacks. In the IoT, devices are designed to self-configure, enabling them to connect to networks autonomously without extensive manual configuration.

Computational insights into shape effects and heat transport enhancement in MHD-free convection of polar ternary hybrid nanofluid around a radiant sphere.

The control and management of energy and their associated issues are increasingly recognized as one of mankind's greatest challenges in the coming years to keep pace with the surge in industrialization and technology. Free convection optimizes the heat transfer processes in energy systems like solar collectors and power plants, reducing energy consumption and increasing system effectiveness. Further, studying and analyzing critical factors like magnetic fields, thermal radiation, and the shape of nanoparticles can assist in the control of fluid motion and improve the efficiency of heat transfer processes in a wide range of real-world applications, such as the power sector, aerospace applications, molten metal, nuclear power, and aeronautical engineering.