Herbal based nanoparticles as a possible and potential treatment of cancer: a review.

Cancer is the greatest cause of mortality worldwide. Various drug classes treat various cancers. Nanoformulations made from natural sources are being studied for treating several diseases, including cancer.

Oxygen reduction kinetics of high performance BaCoFeMYO (M = Mg, Zr) positrode for protonic ceramic fuel cells.

Protonic ceramic fuel cells (PCFCs) should exhibit high performance at intermediate temperatures in the range of 400-600 °C. To reduce the operating temperature, more active air electrodes (positrodes) are needed. In the present work, BaCoFeMgYO (BCFMY) is investigated as a positrode material for application in PCFCs as well as solid oxide fuel cells (SOFCs).

Exploring the Potential of PEG-Based Deep Eutectic Solvents as a Sustainable Alternative for Extraction of Biological Macromolecules Bovine Serum Hemoglobin.

In recent years, deep eutectic solvents (DESs) have garnered significant attention as promising green alternatives to conventional organic solvents for a wide range of applications. In this study, four novel polyethylene glycol (PEG)-based DESs were prepared and evaluated for their physicochemical properties, including density, dynamic viscosity, and kinematic viscosity. Fourier transform infrared spectroscopy (FT-IR) and NMR analyses revealed substantial intermolecular interactions between the hydrogen bond donor and hydrogen bond acceptor components, confirming the formation of stable DES systems.

Use of zinc sulfate for the development of zinc-fortified meat products from broiler meat.

Objective: The study aimed to assess the feasibility of incorporating food-grade zinc sulfate (ZnSO) for making zinc-fortified meatballs from broiler meat.

Materials And Methods: A total of 20 broiler breasts were treated with different concentrations of elemental zinc (Zn) of food-grade ZnSO₄ for making meatballs. The study included a control group without added Zn (T0: 0 mg/kg) and treatment groups with Zn concentrations of 10 mg/kg (T1), 20 mg/kg (T2), 30 mg/kg (T3), and 40 mg/kg (T4).

Assessing implications of occupational heat stress on the physiological and productive attributes of small-scale foundry workers in Northern India.

Work operations involving intensive physical activities under hot stressful workplaces may impose substantial heat stress on the employed workforce, particularly in underdeveloped countries. The present study analysed occupational heat stress and its effect on workers' well-being and productivity under distinct work environments in small-scale foundries in Northern India. Several dominant heat indices were used for evaluating the occupational heat risk exposure among foundry workers.

Machine learning for predicting strength properties of waste iron slag concrete.

This study investigates the utilization of waste iron slag (WIS) as a sustainable alternative in concrete production to reduce environmental impact and preserve natural resources. The experimental investigation of WIS-incorporated concrete focused on compressive and tensile strength with machine learning (ML) models for prediction. Among the tested ML algorithms, Decision Tree (DT) and XGBoost showed the highest accuracy (R = 0.

Unraveling the molecular landscape of non-small cell lung cancer: Integrating bioinformatics and statistical approaches to identify biomarkers and drug repurposing.

Non-small-cell lung cancer (NSCLC) is one of the most malignant tumors and the leading cause of death from cancer worldwide and is increasing at a massive rate every year. Most NSCLC patients are diagnosed at advanced stages, which is associated with a poor prognosis and a very low 5-year survival rate. Therefore, the purpose of this study is to investigate molecular markers for early diagnosis, prognosis and therapy of NSCLC through the integration of bioinformatics and statistical methods.

Orbital and adnexal sarcoidosis: Clinical presentations and management outcomes.

Purpose: To present the clinical features and management outcomes in a series of patients with orbital and adnexal sarcoidosis.

Methods: This was a retrospective analysis of 19 histopathologically proven cases of orbital and adnexal sarcoidosis over the past ten years. The data analyzed included demographic details, clinical and imaging features, and management outcomes.

N SABRE-SHEATH and NMR/DFT Characterization of Amino-Metronidazole, a Metabolic Product of the Antibiotic and Prospective Hypoxia Contrast Agent Metronidazole.

The antibiotic metronidazole (MNZ) has gained interest as a potential MRI contrast agent for imaging hypoxia. N-labeled MNZ can be efficiently hyperpolarized via SABRE-SHEATH (Signal Amplification By Reversible Exchange in SHield Enables Alignment Transfer to Heteronuclei), but the envisioned MRI approach requires that MNZ rapidly undergoes structural changes in hypoxic environments with significant N frequency differences manifested in its downstream metabolic products. We have performed NMR studies of the anticipated metabolic product amino-MNZ (despite anticipated stability concerns) accompanied by computational density functional theory (DFT) studies to predict the N chemical shifts of different relevant species.

A Comprehensive Analysis of Surgical Outcomes for Spinal Fractures in Patients With Ankylosing Spondylitis: A 13-Year Prospective Study.

Introduction: Ankylosing spondylitis (AS), a chronic inflammatory spondyloarthropathy affecting the spine, progressively leads to increased spinal stiffness. This condition increases the risk of spine fractures in patients, even from trivial injuries. The process of slow bone formation within the ligaments of the spine and the fusion of the spinal diarthrosis contribute to the most prominent symptom of progressive stiffness of joints, predominantly affecting the spine and sacroiliac joints.

Trends, challenges, and research pathways in emerging contaminants: a comprehensive bibliometric analysis.

The growing concern over environmental pollution has spurred extensive research into various contaminants impacting ecosystems and human health. Emerging contaminants (ECs), including pharmaceuticals, personal care products, endocrine-disrupting chemicals, nanomaterials, and microplastics, have garnered significant attention due to their persistence, bioaccumulation, and toxicity. This study presents a comprehensive bibliometric analysis of EC research, aiming to detail the research landscape, highlight significant contributions, and identify influential researchers and pivotal studies.

The Dynamic Role of Curcumin in Mitigating Human Illnesses: Recent Advances in Therapeutic Applications.

Herbal medicine, particularly in developing regions, remains highly popular due to its cost-effectiveness, accessibility, and minimal risk of adverse effects. L., commonly known as turmeric, exemplifies such herbal remedies with its extensive history of culinary and medicinal applications across Asia for thousands of years.

Exploring electrocardiographic alterations and the prolongation of QT interval in patients with diabetes mellitus.

Background: Diabetes mellitus (DM) affects a substantial proportion of the world's population and is associated with an increased risk of sudden cardiac death (SCD) due to cardiac arrhythmias, specifically prolonged QT intervals. This study investigates the correlation between glycemic control and cardiac health in 77 diabetic patients.

Methods: Patients with both type 1 and type 2 DM aged 14 to 82 years were included.

First report of contagious caprine pleuropneumonia (CCPP) in Bangladeshi goats: Seroprevalence, risk factors and molecular detection from lung samples.

Background And Objective: Contagious caprine pleuropneumonia (CCPP) is a highly contagious mycoplasmal respiratory disease primarily affecting goats and sheep caused by subsp. (Mccp). So far, there is no available information on either the serological or molecular identification of Mccp in Bangladesh.

Quality aspects of paddy grain and seed dried in HSTU mobile grain and seed dryer integrated with a dual heating system.

Proper drying and excellence of dried grain and seed are the key concerns of millers, farmers and seed growers. The performance of a new Hajee Mohammad Danesh Science and Technology University (HSTU) mobile grain and seed dryer (HMD) integrated with dual heating system was assessed regarding the quality of dried seed and grain. The HMD was found to be capable of drying 720 ± 10 kg paddy in a batch and drying period varied between 7 and 8 h at drying air temperatures of 65 °C.

Exploring semiconductor potential: novel boron-based TiAlC and TiAlN MAX phase composites with tunable band gaps.

This research focuses on synthesizing chemically and thermally stable novel TiAlN and TiAlC MAX phase reinforced boron-based composites using hot pressed and inert sintering processes, enabling a sizeable and wider bandgap for semiconductor applications. The study found that the MAX phase is formed from 0.2% to 2.

Attention-based multi-residual network for lung segmentation in diseased lungs with custom data augmentation.

Lung disease analysis in chest X-rays (CXR) using deep learning presents significant challenges due to the wide variation in lung appearance caused by disease progression and differing X-ray settings. While deep learning models have shown remarkable success in segmenting lungs from CXR images with normal or mildly abnormal findings, their performance declines when faced with complex structures, such as pulmonary opacifications. In this study, we propose AMRU++, an attention-based multi-residual UNet++ network designed for robust and accurate lung segmentation in CXR images with both normal and severe abnormalities.

An integrated bioinformatics approach to early diagnosis, prognosis and therapeutics of non-small-cell lung cancer.

Non-small-cell lung cancer (NSCLC) is one of the most deadly tumors characterized by poor survival rates. Advances in therapeutics and precise identification of biomarkers can potentially reduce the mortality rate. Thus, this study aimed to identify a set of common and stable gene biomarkers through integrated bioinformatics approaches that might be effective for NSCLC early diagnosis, prognosis, and therapies.