Risk of malignancy and the use of disease-modifying therapy in multiple sclerosis: exploring the role of DMT in a multi-center study.

Background: The potential link between disease-modifying therapies (DMTs) and malignancy in multiple sclerosis (MS) patients has generated significant concern, particularly given the immunosuppressive nature of these treatments. Conflicting evidence in the literature has left this issue unresolved, underscoring the need for definitive research to inform clinical practice. This study addresses this gap by examining cancer occurrence among MS patients on DMTs treated at two tertiary-care centers in Saudi Arabia.

Exploring the anticancer potential and mechanisms of action of natural coumarins and isocoumarins.

Natural coumarins and isocoumarins show significant therapeutic potential against cancer in preclinical studies by targeting multiple pathways and processes. These compounds influence several critical cellular processes, such as apoptosis, autophagy, and cell cycle regulation, which are pivotal in cancer development and progression. Their capability to target multiple signalling pathways provides a strategic advantage over single-target therapies, which are often limited by drug resistance.

Ultrasound-assisted synthesis of novel 2-aryl-3-ethoxy-5-methyl-3-oxido-2-thiazolo[2,3-][1,4,2]diazaphosphole-6-carboxylates and their anticancer efficacy in inducing apoptosis and autophagy and targeting cell cycle progression.

A novel class of ethyl 2-aryl-3-ethoxy-5-methyl-3-oxido-2-thiazolo[2,3-][1,4,2]diazaphosphole-6-carboxylates (2a-j) were synthesized a one-pot, three-component method. This reaction utilized ethyl 2-amino-4-methylthiazole-5-carboxylate (1) with different aromatic aldehydes and ethyl dichlorophosphite in THF under ultrasonic irradiation, with triethylamine as an efficient catalyst at 50 °C. The reaction provided the desired products 2a-j in high yields within a short timeframe.

UV/visible absorption maxima prediction of water-soluble organic compounds and generation of library of new organic compounds.

In this study, UV/visible absorption maxima of organic compounds are predicted with the help of machine learning (ML). Four ML models are evaluated, the gradient boosting model has performed best. We also analyzed feature importance.

Robust malicious software detection and classification using global whale optimization algorithm with deep learning approach.

Software malware detection and classification leverage sophisticated procedures and methods from the cybersecurity domain for identifying and categorizing malicious software, generally called malware. This procedure analyses code behaviour, file structures, and other features to distinguish between benign and malicious programs. Machine learning (ML) and artificial intelligence (AI) are vital in this domain, allowing the progress of dynamic and adaptive systems that identify novel and developing malware attacks.

Accelerated discovery of polymer donors for organic solar cells through machine learning: From library creation to performance forecasting.

The design of novel polymer donors for organic solar cells has been a major research focus for decades, but discovering unique materials remains challenging due to the high cost of experimentation. In this study, machine learning models are employed to predict power conversion efficiency (PCE), Mordred descriptors are used for model training. Among the four machine learning models evaluated, the gradient boosting regressor emerged as the best-performing model.

Effect of fasting-induced headache on calcitonin gene related peptide (CGRP) and other clinical biomarkers on the first day of Ramadan: Sub-analysis from a randomized open label clinical trial.

Background: Fasting-induced headaches (FIHs) have been shown to occur on the first day of Ramadan and clearly decline thereafter. Despite the wealth of knowledge about different types of headaches (e.g.

miRNA-driven sensitization of breast cancer cells to Doxorubicin treatment following exposure to low dose of Zinc Oxide nanoparticles.

The impact of Engineered nanomaterials (ENMs) (i.e., Zinc Oxide nanoparticles (ZnO NPs)) on human health has been investigated at high and unrealistic exposure levels, overlooking the potential indirect harm of subtoxic and long exposures.

Critical assessment of recent advancements in chitosan-functionalized iron and geopolymer-based adsorbents for the selective removal of arsenic from water.

Inorganic arsenic (As), a known carcinogen and major contaminant in drinking water, affects over 140 million people globally, with levels exceeding the World Health Organization's (WHO) guidelines of 10 μg L. Developing innovative technologies for effluent handling and decontaminating polluted water is critical. This paper summarizes the fundamental characteristics of chitosan-embedded composites for As adsorption from water.

Laser-Induced Graphene for Advanced Sensing: Comprehensive Review of Applications.

Laser-induced graphene (LIG) and Laser-scribed graphene (LSG) are both advanced materials with significant potential in various applications, particularly in the field of sustainable sensors. The practical uses of LIG (LSG), which include gas detection, biological process monitoring, strain assessment, and environmental variable tracking, are thoroughly examined in this review paper. Its tunable characteristics distinguish LIG (LSG), which is developed from accurate laser beam modulation on polymeric substrates, and they are essential in advancing sensing technologies in many applications.

Evaluating the use of paracetamol to prevent fasting headache during the first week of Ramadan: A randomized, open-label, clinical trial.

Background: Fasting headaches frequently occur during the first few days of Ramadan, and treatment is challenging because of fasting.

Objective: This study aimed to evaluate the effect of extended-release paracetamol on preventing fasting headaches.

Methods: A randomized, open-label clinical trial investigated the efficacy of extended-release paracetamol at a daily dose of 1330 mg in preventing fasting headache.

Leveraging electrocardiography signals for deep learning-driven cardiovascular disease classification model.

Electrocardiography (ECG) is the most non-invasive diagnostic tool for cardiovascular diseases (CVDs). Automatic analysis of ECG signals assists in accurately and rapidly detecting life-threatening arrhythmias like atrioventricular blockage, atrial fibrillation, ventricular tachycardia, etc. The ECG recognition models need to utilize algorithms to detect various kinds of waveforms in the ECG and identify complicated relationships over time.

Gamma-Irradiated Gum Arabic Grafted with 2-Hydroxyethyl Methacrylate: A Novel Superabsorbent Polymer for Controlled Folic Acid Release.

This study explores the synthesis and characterization of superabsorbent hydrogels derived from chemically modified gum Arabic, designed for controlled folic acid release. The synthesis involves a two-step process: carboxymethylation followed by grafting with 2-hydroxyethyl methacrylate via gamma irradiation. The resulting hydrogels exhibit enhanced mechanical strength and controlled diffusivity, essential for nutrient delivery systems.

Revolutionizing energy storage: exploring the nanoscale frontier of all-solid-state batteries.

Due to their distinctive security characteristics, all-solid-state batteries are seen as a potential technology for the upcoming era of energy storage. The flexibility of nanomaterials shows enormous potential for the advancement of all-solid-state batteries' exceptional power and energy storage capacities. These batteries might be applied in many areas such as large-scale energy storage for power grids, as well as in the creation of foldable and flexible electronics, and portable gadgets.

Quantifying Protein Acetylation in Diabetic Nephropathy from Formalin-Fixed Paraffin-Embedded Tissue.

Purpose: Diabetic kidney disease (DKD) is a serious complication of diabetes mellitus and a leading cause of chronic kidney disease and end-stage renal disease. One potential mechanism underlying cellular dysfunction contributing to kidney disease is aberrant protein post-translational modifications. Lysine acetylation is associated with cellular metabolic flux and is thought to be altered in patients with diabetes and dysfunctional renal metabolism.

From lab to field: Prussian blue frameworks as sustainable cathode materials.

Prussian blue and Prussian blue analogues have attracted increasing attention as versatile framework materials with a wide range of applications in catalysis, energy conversion and storage, and biomedical and environmental fields. In terms of energy storage and conversion, Prussian blue-based materials have emerged as suitable candidates of growing interest for the fabrication of batteries and supercapacitors. Their outstanding electrochemical features such as fast charge-discharge rates, high capacity and prolonged cycling life make them favorable for energy storage application.

Green extraction and application of yellow natural curcumin colorant from Curcuma aromatica rhizomes for silk dyeing.

Green products such as plant tints are becoming more and more well-known worldwide due to their superior biological and ayurvedic properties. In this work, colorant from Amba Haldi (Curcuma aromatica) was isolated using microwave (MW), and bio-mordants were added to produce colorfast shades. Response surface methodology was used to develop a central composite design (CCD), which maximizes coloring variables statistically.

Novel carbazolyl-thiazolyl-chromone and carbazolyl-thiazolyl-pyrazole hybrids: synthesis, cytotoxicity evaluation and molecular docking studies.

A simple synthetic method was performed to design a novel series of polycyclic systems consisting of carbazole-thiazolidinone-chromone hybrids 4a-e and carbazole-thiazolidinone-pyrazole hybrids 5a-e in excellent yields. The methodology depended on the one-pot four-component reaction of 3-amino-9-ethylcarbazole, substituted isothiocyanates, ethyl bromoacetate and 6-methyl-3-formylchromone in ethanol under ultrasound waves at 50 °C to give the carbazole-thiazolidinone-chromone hybrids 4a-e. The latter isolated products were treated with hydrazine hydrate in ethanol under ultrasound waves at 50 °C affording the corresponding carbazole-thiazolidinone-pyrazole hybrids 5a-e.

Metal organic framework-based polymeric hydrogel: A promising drug delivery vehicle for the treatment of breast cancer.

The constraints associated with current cancer therapies have inspired scientists to develop advanced, precise, and safe drug delivery methods. These delivery systems boost treatment effectiveness, minimize harm to healthy cells, and combat cancer recurrence. To design advanced drug delivery vehicle with these character, in the present manuscript, we have designed a self-healing and injectable hybrid hydrogel through synergistically interacting metal organic framework, CuBTC with the poly(vinyl alcohol) (PVA).