Modulation of 8-Oxoguanine DNA Glycosylase 1 (OGG1) Alleviated Anemia Severity and Excessive Cytokines Release during Malaria in Mice.

Background: The interplay of OGG1, 8-Oxoguanine, and oxidative stress triggers the exaggerated release of cytokines during malaria, which worsens the outcome of the disease. We aimed to investigate the involvement of OGG1 in malaria and assess the effect of modulating its activity on the cytokine environment and anemia during malaria in mice.

Methods: infection in ICR mice was used as a malaria model.

Insight into the Environmental Health Consciousness of Medical Students Regarding the Perceived Impacts of Climate Change on Human Health.

Climate change represents an unprecedented global public health crisis with extensive and profound implications. The Lancet Commission identified it as the foremost health challenge of the 21st century. In 2015, air pollution alone caused approximately 9 million premature deaths worldwide.

Pedicle Screw Pull-Out Strength Between the Jamshidi Needle and Pedicle Probe Techniques in an Osteoporotic Cancellous Bone Model: A Biomechanical Study.

Introduction Spinal fusion surgery with pedicle screws is commonly performed to stabilize the spine of osteoporotic patients. However, securing a strong screw fixation in osteoporotic bone presents significant challenges due to the reduced bone density. This study aimed to compare the biomechanical performance in an osteoporotic bone model of pedicle screws inserted using two different techniques, the Jamshidi needle technique and the pedicle probe technique, as well as the influence of tapping on both these techniques.

Age-related differences in gene expression and pathway activation following heat stroke.

This study investigates the molecular responses to heat stroke in young and old patients by comparing whole-genome transcriptomes between age groups. We analyzed transcriptomic profiles from patients categorized into two age-defined cohorts: young (mean age = 44.9 ± 6 years) and old (mean age = 66.

PIK3CA mutation fortifies molecular determinants for immune signaling in vascular cancers.

Angiosarcomas are a group of vascular cancers that form malignant blood vessels. These malignancies are seemingly inflamed primarily due to their pathognomonic nature, which consists of irregular endothelium and tortuous blood channels. PIK3CA mutations are oncogenic and disrupt the PI3K pathway.

Effect of DOPA decarboxylase inhibitor supplements on the incidence of urinary tract infections in Parkinson's disease patients: A systematic review and meta-analysis of randomized controlled trials.

Objectives: Parkinson's disease is the most common neurodegenerative disease. Combining levodopa with other drugs, including decarboxylase inhibitors (DCI) is its most effective treatment. Urinary tract infection (UTI) is the most common cause of hospitalization in Parkinson's patients, making it crucial to find an appropriate treatment to reduce the incidence of this complication.

An Optimal Internet of Things-Driven Intelligent Decision-Making System for Real-Time Fishpond Water Quality Monitoring and Species Survival.

Smart fish farming faces critical challenges in achieving comprehensive automation, real-time decision-making, and adaptability to diverse environmental conditions and multi-species aquaculture. This study presents a novel Internet of Things (IoT)-driven intelligent decision-making system that dynamically monitors and optimizes water quality parameters to enhance fish survival rates across various regions and species setups. The system integrates advanced sensors connected to an ESP32 microcontroller, continuously monitoring key water parameters such as pH, temperature, and turbidity which are increasingly affected by climate-induced variability.

Structure and Properties of Poly(Ethylene-co-vinyl Acetate) Nanocomposites with Dual-Functionalized Dolomite Nanoparticles.

Poly(ethylene-co-vinyl acetate) (PEVAc) is a copolymer that consists of non-polar polyethylene (PE) and a polar polyvinyl acetate (PVAc) monomer. PEVAc has high elasticity and is resilient, making it suitable for a variety of applications. However, the tensile strength of this copolymer needs to be improved for specific applications that require enough strength to tolerate high external tension or stress.

A novel algorithmic multi-attribute decision-making framework for the evaluation of energy systems using rough approximations of hypersoft sets.

Selecting the best power source that is legal, affordable, environmentally friendly, and able to ensure long-term viability is a difficult but vital task. Existing frameworks based on traditional fuzzy and soft sets are unable to adequately capture the complexity of the optimal energy system selection (ESS). These decision models may also be complex, especially when rough data and integrity need to be taken into account.

Recent trends in production and potential applications of microbial amylases: A comprehensive review.

α-amylases are vital biocatalysts that constitute a billion-dollar industry with a substantial and enduring global demand. Amylases hydrolyze the α-1,4-glycosidic linkages in starch polymers to generate maltose and malto-oligosaccharides subunits. Amylases are key enzymes that have promising applications in various industrial processes ranging from pharmaceutical, pulp and paper, textile food industries to bioremediation and biofuel sectors.

Understanding climate literacy research using scientometrics analysis.

Climate literacy, critical for understanding both the individual's impact on climate and the consequential effects on society and the biosphere, is comprehensively examined in this study through scientometric analysis. Spanning research from 1981 to 2024 and utilizing the Web of Science database, this study maps the evolution of publication trends, pinpoints central themes, and identifies pivotal publications within the domain. Leveraging advanced visualization tools like CiteSpace, the research employs dual-map overlays and document co-citation analysis to uncover the intricate web of interconnections among scholarly works.

Tackling activity-stability paradox of reconstructed NiIrO electrocatalysts by bridged W-O moiety.

One challenge remaining in the development of Ir-based electrocatalyst is the activity-stability paradox during acidic oxygen evolution reaction (OER), especially for the surface reconstructed IrO catalyst with high efficiency. To address this, a phase selective Ir-based electrocatalyst is constructed by forming bridged W-O moiety in NiIrO electrocatalyst. Through an electrochemical dealloying process, an nano-porous structure with surface-hydroxylated rutile NiWIrO electrocatalyst is engineered via Ni as a sacrificial element.

Post-Traumatic Stress Disorder as a Risk Factor for Adverse Outcomes in Total Knee Arthroplasty.

Background: There is a scarcity of literature concerning individuals who have existing post-traumatic stress disorder (PTSD) and their outcomes after primary total knee arthroplasty (TKA). This study compared outcomes in patients undergoing primary TKA who have a previous history of PTSD.

Methods: An electronic health care database was used to identify patients diagnosed with PTSD undergoing TKA.

PTFE Stent Membrane Based on the Electrospinning Technique and Its Potential for Replacing ePTFE.

Expanded poly(tetrafluoroethylene) (ePTFE), obtained by the paste extrusion-stretching method, is a commonly used stent membrane material for the treatment of arterial stenosis or aneurysm in clinical practice. However, the structure of ePTFE is nonfibrous, which is not friendly to cells, and the equipment consumes a lot of energy and often requires the use of flammable and toxic lubricants. In this study, electrospinning was used to prepare PTFE vascular stent membranes, following plasma treatment, dopamine, and heparin grafting to obtain an anticoagulant surface.

Poly(Ionic Liquid) Electrolytes at an Extreme Salt Concentration for Solid-State Batteries.

Polymer-in-salt electrolytes were introduced three decades ago as an innovative solution to the challenge of low Li-ion conductivity in solvent-free solid polymer electrolytes. Despite significant progress, the approach still faces considerable challenges, ranging from a fundamental understanding to the development of suitable polymers and salts. A critical issue is maintaining both the stability and high conductivity of molten salts within a polymer matrix, which has constrained their further exploration.

Stakeholders' perspectives on disinvestment of low-value healthcare interventions and practices in Malaysia: an online survey.

Objectives: Healthcare disinvestment requires multi-level decision-making, and early stakeholder engagement is essential to facilitate implementation and acceptance. This study aimed to explore the perceptions of Malaysian healthcare stakeholders to disinvestment initiatives as well as identify disinvestment activities in the country.

Methods: A cross-sectional online survey was conducted from February to March 2023 among Malaysian healthcare stakeholders involved in resource allocation and decision-making at various levels of governance.

The regulatory effects of mitragynine on P-glycoprotein transporter.

Objectives: Kratom preparation containing Mitragyna speciosa Korth plant is frequently used as a recreational drug. Mitragynine, a major alkaloid isolated from M. speciosa, is often detected concurrently with other drugs during forensic analysis, indicating a safety concern.

RETRACTED: Azra et al. Crayfish Research: A Global Scientometric Analysis Using CiteSpace. 2023, , 1240.

The journal retracts the article titled "Crayfish Research: A Global Scientometric Analysis Using CiteSpace" [...

Multi-Strategy Bald Eagle Search Algorithm Embedded Orthogonal Learning for Wireless Sensor Network (WSN) Coverage Optimization.

Coverage control is a fundamental and critical issue in plentiful wireless sensor network (WSN) applications. Aiming at the high-dimensional optimization problem of sensor node deployment and the complexity of the monitoring area, an orthogonal learning multi-strategy bald eagle search (OLMBES) algorithm is proposed to optimize the location deployment of sensor nodes. This paper incorporates three kinds of strategies into the bald eagle search (BES) algorithm, including Lévy flight, quasi-reflection-based learning, and quadratic interpolation, which enhances the global exploration ability of the algorithm and accelerates the convergence speed.