Development of oats flour and bitter gourd fortified cookies: Effects on physicochemical, antioxidant, antimicrobial, and sensory attributes.

The objective of this study was the develop of fortified cookies enriched with oats flour and bitter gourd powder and monitoring the effects of these enrichments on the physicochemical, antioxidant, antimicrobial, and sensory attributes. This study was subjected to four treatments: control (0% oats flour and bitter gourd powder), T1 (10% oats flour), T2 (3% bitter gourd powder), and T3 (7% oats flour and 3% bitter gourd powder). Various physical properties of the cookies, including weight, thickness, diameter, spread ratio, baking loss, pH, and color values (L*, a*, and b*), were measured.

Sestrin2 Suppression Promotes Endothelial-Mesenchymal Transition and Exacerbates Methylglyoxal-Induced Endothelial Dysfunction.

Sestrin2 (SESN2) is a stress-inducible protein known for its cytoprotective functions, but its role in diabetic vascular complications remains unclear. This study investigated the impact of SESN2 on methylglyoxal (MGO)-induced endothelial-mesenchymal transition (EndMT). Human endothelial cells were transfected with SESN2 siRNA duplexes to silence SESN2 expression, followed by MGO treatment.

The Future of Giant Cell Arteritis Diagnosis and Management: A Systematic Review of Artificial Intelligence and Predictive Analytics.

Giant cell arteritis (GCA), a systemic vasculitis affecting large and medium-sized arteries, poses significant diagnostic and management challenges, particularly in preventing irreversible complications like vision loss. Recent advancements in artificial intelligence (AI) technologies, including machine learning (ML) and deep learning (DL), offer promising solutions to enhance diagnostic accuracy and optimize treatment strategies for GCA. This systematic review, conducted according to the PRISMA 2020 guidelines, synthesizes existing literature on AI applications in GCA care, with a focus on diagnostic accuracy, treatment outcomes, and predictive modeling.

Sorghum starch: Composition, structure, functionality, and strategies for its improvement.

Sorghum (Sorghum bicolor L. Moench) is increasingly recognized as a resilient and climate-adaptable crop that holds significant potential to enhance global food security sustainably. Compared to other common cereal grains, sorghum boasts a more diverse nutritional profile.

Synthesis, spectroscopic, computational, molecular docking, antidiabetic(in vitro & in vivo) DNA and BSA interaction studies of ruthenium(II) carboxylate complexes.

The ruthenium compounds have been known to have the wide range of potential applications as anticancer, antibacterial and anti-diabetic etc. The ligand substitutions play a vital role in enhancing the pharmacological and biological activities. In the present study, three ruthenium-metal based complexes, designated as (I-III), were synthesized and characterized employing element analysis, FTIR and HNMR.

Magnesium sulfate for fetal neuroprotection in preterm labor: an updated systematic review and meta-analysis of randomized controlled trials.

Objective: Antenatal magnesium sulfate has been reported to reduce the risk of neurological impairment in fetuses born to women at risk of preterm labor. However, the evidence to support its use is conflicting. We conducted this meta-analysis to assess the efficacy and safety of magnesium sulfate in women at risk of preterm labor as new research is available from RCTs giving insights into MgSO4 treatment among differing gestational age groups.

Local interpretable model-agnostic explanation approach for medical imaging analysis: A systematic literature review.

Background: The interpretability and explainability of machine learning (ML) and artificial intelligence systems are critical for generating trust in their outcomes in fields such as medicine and healthcare. Errors generated by these systems, such as inaccurate diagnoses or treatments, can have serious and even life-threatening effects on patients. Explainable Artificial Intelligence (XAI) is emerging as an increasingly significant area of research nowadays, focusing on the black-box aspect of sophisticated and difficult-to-interpret ML algorithms.

Understanding the Effectiveness of Water, Sanitation, and Hygiene Interventions: A Counterfactual Simulation Approach to Generalizing the Outcomes of Intervention Trials.

Background: While water, sanitation, and hygiene (WASH) interventions can reduce diarrheal disease, many large-scale trials have not found the expected health gains for young children in low-resource settings. Evidence-based guidance is needed to improve interventions and remove barriers to diarrheal disease reduction.

Objectives: We aimed to estimate how sensitive WASH intervention effectiveness was to underlying contextual and intervention factors in the WASH Benefits (WASH-B) Bangladesh cluster-randomized controlled trial.

FeS-based nanocomposites: A promising approach for sustainable environmental remediation - Focus on adsorption and photocatalysis - A review.

Population expansion, industrialization, urban development, and climate changes increased the water crisis in terms of drinking water availability. Among the various nanomaterials for nanoremediation towards water treatment, FeS-based nanocomposites have emerged as promising candidates in the adsorptive and photocatalytic removal of contaminants. This paper, therefore, evaluates the potential of FeS-based nanocomposites for environmental applications, more specifically the combined use of adsorption and photocatalysis.

Fluorescence based live cell imaging identifies exon 14 skipped hepatocyte growth factor receptor (MET) degraders.

Despite ongoing efforts to employ structure-based methods to discover targeted protein degraders (TPD), the prevailing strategy continues to be the synthesis of a focused set of heterobifunctional compounds and screen them for target protein degradation. Here we used a fluorescence based live cell imaging screen to identify degraders that target exon 14 skipped hepatocyte growth factor receptor (MET). MET is a known oncogenic driver.

The association between plasma levels of Sestrin2 and risk factors of cardiovascular diseases in healthy and diabetic adults: A study of Qatar Biobank data.

This study examines the association between serum Sestrin2 (SESN2) levels and cardiovascular disease (CVD) risk factors in healthy and diabetic adults, using data from the Qatar Biobank (QBB). A total of 844 participants were included, with 518 in the diabetic cohort and 326 in the healthy cohort. Clinical characteristics, cardiometabolic markers, and SESN2 levels were measured, and binomial logistic regression analyses were conducted to assess the associations between SESN2 and various health indices.

The First Observational Study of Acute Medical Unit in Qatar.

 Acute medical unit (AMU) is a dedicated facility to treat patients with acute medical conditions requiring a short hospital stay (< 72 hours) with the support of a multidisciplinary team led by a medical consultant. We aim to present a study of the AMU model of care from Qatar to provide insight into its effects on patient care and management.  Retrospective data from AMU facility at Hamad General Hospital (HGH), Doha, Qatar, was collected from January 2019 to December 2020 from the electronic patient record.

Challenges in Diagnosing SAPHO Syndrome: A Multidisciplinary Perspective.

SAPHO syndrome (synovitis, acne, pustulosis, hyperostosis, osteitis syndrome) is a systemic inflammatory disease characterized by a combination of both osteoarticular and dermatological manifestations. We encountered an interesting case of a 54-year-old female patient who presented with symptoms of recurrent chest infections. Extensive investigations, including laboratory tests and imaging, were conducted with an initial suspicion of malignancy, but the patient was ultimately diagnosed with SAPHO.

Design of super stretchability, rapid self-healing, and self-adhesion hydrogel based on starch for wearable strain sensors.

Since hydrogels are conductive, easily engineered, and sufficiently flexible to imitate the mechanical properties of human skin, they are seen as potential options for wearable strain sensors. However, it is still a great challenge to prepare a hydrogel through simple and straightforward methods that integrate excellent stretchability, ionic conductivity, toughness, self-adhesion, and self-healing. Herein, an acrylamide/3-acrylamide phenylboronic acid cross-linked network is modified to produce a semi-interpenetrating cross-linked hydrogel in just one easy step by adding starch.

Decontaminating the surfaces of bonded screw-retained implant prostheses: A comparison of three different post-processing cleaning techniques.

Statement Of Problem: Bonded screw-retained implant-supported prostheses may become contaminated during fabrication, leading to biological complications. Studies supporting effective cleaning methods are sparse.

Purpose: The purpose of this in -vitro study was to compare the effectiveness of 3 different cleaning techniques for the removal of contaminants on the surfaces of bonded screw-retained implant-supported prostheses.

Electrochemical Nanosensor-Based Emerging Point-Of-Care Tools: Progress and Prospects.

Early detection of disease remains a crucial challenge in medicine. Delayed diagnosis often leads to limited treatment options, increased disease progression, and unfortunately, even death in some cases. To address this, the need for rapid, cost-effective, and noninvasive diagnostic tools is paramount.

Exploring the Dynamic Interplay of Deleterious Variants on the RAF1-RAP1A Binding in Cancer: Conformational Analysis, Binding Free Energy, and Essential Dynamics.

The RAF1-RAP1A interaction activates the MAPK/ERK pathway which is very crucial in the carcinogenesis process. This protein complex influences tumor formation, proliferation, and metastasis. Understanding aberrant interactions driven by clinical mutations is vital for targeted therapies.

Mixed metric dimension and exchange property of hexagonal nano-network.

The mixed metric dimension of a graph is an important parameter in characterizing its structural complexity, specifically in nanoscale networks where precision is paramount. In this article, we calculate the mixed metric dimension of hexagonal nano-network, a modal with significant applications in nanotechnology and material science. Through rigorous analysis, we set up that the mixed metric dimension of the hexagonal nano-network is exactly three, highlighting its minimal but enough resolving set that uniquely identifies all vertices.

The current state of primary healthcare in Pakistan: a way forward for low-to-middle income countries.

Background: Primary healthcare (PHC) plays a crucial role in improving health outcomes and reducing healthcare burden, especially in low-to-middle-income countries (LMICs). However, PHC has not received adequate attention in Pakistan despite its recognized importance. This study aims to examine the current state of PHC in Pakistan, identifying factors compromising its quality and effectiveness.

Airway Mucus Plugs on Chest Computed Tomography Are Associated with Exacerbations in COPD.

Unlabelled: Rationale/Objective: Acute exacerbations (AEs) of chronic obstructive pulmonary disease (COPD) are associated with significant morbidity and mortality. Whether mucus plugs are associated with prospective exacerbations has not been examined extensively.

Methods: Mucus plugs were visually-identified on baseline chest computed tomography (CT) scans from smokers with Global Initiative for Chronic Obstructive Lung Disease (GOLD) grades 2-4 COPD enrolled in two multicenter cohort studies: Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) and COPDGene.