Quorum Quenching of by Methanolic Extract and Its Phytochemical Profile.

Quorum sensing (QS) is a molecular communication mechanism among bacterial cells. It is critical in regulating virulence factors, motility, antibiotic resistance, and biofilm formation. is a Gram-negative opportunistic pathogen linked to healthcare-associated infections, food poisoning, and biofilm formation.

TP53 Deficiency in the Natural History of Prostate Cancer.

Prostate cancer remains a leading cause of cancer-related mortality in men, with advanced stages posing significant treatment challenges due to high morbidity and mortality. Among genetic alterations, TP53 mutations are among the most prevalent in cancers and are strongly associated with poor clinical outcomes and therapeutic resistance. This review investigates the role of TP53 mutations in prostate cancer progression, prognosis, and therapeutic development.

How Advanced are Self-Assembled Nanomaterials for Targeted Drug Delivery? A Comprehensive Review of the Literature.

The development of effective drug delivery systems is a key focus in pharmaceutical research, aiming to enhance therapeutic efficacy while minimizing adverse effects. Self-assembled nanostructures present a promising solution due to their tunable properties, biocompatibility, and ability to encapsulate and deliver therapeutic agents to specific targets. This review examines recent advancements in drug-based self-assembled nanostructures for targeted delivery applications, including drug-drug conjugates, polymeric-based architectures, biomolecules, peptides, DNA, squalene conjugates and amphiphilic drugs.

Sex-related differences in response to neoadjuvant and adjuvant chemotherapy in urothelial carcinoma of urinary bladder treated with radical cystectomy.

Introduction: It is unknown whether sex-related differences in response to neoadjuvant (NAC) or adjuvant chemotherapy (ADJ) exist in urothelial carcinoma patients treated with radical cystectomy (RC). We addressed these knowledge gaps.

Material And Methods: Within the Surveillance, Epidemiology, and End Results database (2007-2020), we identified NAC candidates (T2-T4N0M0) and ADJ candidates (T3-T4 and/or N1-3).

Isolation and characterization of bacteriophage against clinical isolates of AmpC beta lactamase-Producing Klebsiella pneumoniae from hospital wastewater.

Background: The increasing incidence of AmpC β-lactamase producing by K. pneumoniae has raised global alarm. Consequently, there is a crucial need for effective methods to inactivate pathogenic bacteria and mitigate the associated risks.

Hybrid machine learning framework for predictive maintenance and anomaly detection in lithium-ion batteries using enhanced random forest.

The critical necessity for sophisticated predictive maintenance solutions to optimize performance and extend lifespan is underscored by the widespread adoption of lithium-ion batteries across industries, including electric vehicles and energy storage systems. This study introduces a comprehensive predictive maintenance framework that incorporates real-time health diagnostics with state-of-charge (SOC) estimation, utilizing an Improved Random Forest (IRF) algorithm to address the current limitations in battery management systems. The framework integrates physics-informed methodologies with data-driven machine learning models to facilitate the dynamic assessment of battery health and the production of precise predictions.

Dihydroartemisinin attenuates acetic acid-induced ulcerative colitis in rats: Suppression of inflammation and modulation of NFκβ/TNF-α/RIPK1-mediated necroptosis and apoptosis.

Background: Ulcerative colitis (UC) is an inflammatory bowel disease characterized by the overproduction of reactive oxygen species (ROS) and the release of inflammatory mediators. Dihydroartemisinin (DHA) is a semi-synthetic active metabolite of artemisinin that has anti-inflammatory, antioxidant, and anti-fibrotic properties.

Objective: This study aimed to assess the therapeutic benefits of DHA on acetic acid(AA) -induced UC in rats, with particular emphasis on its anti-inflammatory effects and its influence on NFκB/TNF-α/RIPK1 necroptotic pathways.

Effect of delayed auditory feedback on stuttering-like disfluencies.

Background: Delayed auditory feedback (DAF) has been used in the treatment of stuttering, providing different results across different populations and age groups.

Aims: This study examines the impact of delayed auditory feedback (DAF) on stuttering-like disfluencies (SLDs) in the spontaneous speech of Jordanian individuals who stutter.

Methods & Procedures: A cross-sectional experimental design was employed to analyse the effects of DAF on the conversational speech of 35 participants (9 females, 26 males) with persistent developmental stuttering, aged 5-29 years (M = 13.

The Gastroprotective Effects of Salvia indica L. and Selenium In Vivo Study.

Salvia indica L. is a traditional therapeutic herb used for numerous health purposes, including intestinal and stomach disorders. The current investigation includes the phytochemical profiling, acute toxicity, and gastroprotective roles of Salvia indica leave extracts (SILE) in combination with selenium (known to facilitate mucosal regeneration, reduce lipid peroxidation, and increase antioxidant activity) in the gastric ulcer animal model.

Prophylactic Effects of Rhamnetin Flavonoid on Indomethacin-Induced Gastric Ulceration by Modulating HSP 70/Bax, SOD/MDA and TNF-α/IL-10.

Rhamnetin is a naturally occurring flavonoid compound found in many wild plant species and indigenous fruits. Despite its numerous biological potentials, such as anti-inflammatory, antioxidant and antimicrobial effects, there is a lack of literature elucidating its gastroprotective action and anticipating molecular mechanism. Natural products can be a good alternative to overcome the side effects and relapses associated with anti-ulcer drugs.

Optimizing sustainable energy management in grid connected microgrids using quantum particle swarm optimization for cost and emission reduction.

The global shift towards decentralized energy systems, driven by the integration of distributed generation technologies and renewable energy sources, underscores the critical need for effective energy management strategies in microgrids. This study proposes a novel multi-objective optimization framework for grid-connected microgrids using quantum particle swarm optimization (QPSO) to address the dual challenges of minimizing operational costs and reducing environmental emissions. The microgrid configuration analyzed includes renewable energy sources like photovoltaic panels and wind turbines, along with conventional energy sources and battery storage.

Frequency stability improvement in EV-integrated power systems using optimized fuzzy-sliding mode control and real-time validation.

The rapid growth in power demand, integration of renewable energy sources (RES), and intermittent uncertainties have significantly challenged the stability and reliability of interconnected power systems. The integration of electric vehicles (EVs), with their bidirectional power flow, further exacerbates the frequency fluctuation in the power system. So, to mitigate the frequency & power deviations as well as to stabilize the power system integrated with distributed generators (DGs) and EVs, robust & intelligent control strategies are indispensable.

Neuroprotective effects of selenium against lithium-induced cerebellar toxicity in rats: The role of apoptosis, gliosis, and aging markers.

Background: Prolonged lithium therapy in psychiatric disorders may be complicated by multi-organ dysfunction, particularly in the nervous system. Toxicity to the cerebellum is one of these, which, while uncommon, inevitably emerges negatively and permanently. Selenium is a trace element regarded as one of the critical antioxidants.

Advanced AI-driven techniques for fault and transient analysis in high-voltage power systems.

Each substation is critically essential to the overall operation of the electrical power system. Potential dangers include thermal stress, noise, slip, trip, fall hazards, animal waste, and nonionizing radiation. These are the causes of joint failures of cables and overhead lines, failure of one or more phases of circuit breakers, and melting of fuses or conductors in one or more phases.

Phytochemical analysis, bioactivity, and molecular docking studies of Myrtus communis L. seeds and fruit peel extracts demonstrating antioxidant and anti-tyrosinase properties.

Myrtus communis L, is an edible medicinal plant with fruit berries used to manufacture liquors, aromatise wine, and sweet foods, beside several folk-medicinal uses. The plant is also endemic to Libya, holds promise for its medicinal properties, including anti-inflammatory, antioxidant, wound healing, and appetising effects. This work aims to explore the phytoconstituents present in the seeds and fruit peels of Myrtus communis L by GC-MS and LC-ESI-MS analysis, respectively.

Resveratrol and grape pomace extract incorporated in modified phospholipid vesicles: A potential strategy to mitigate cigarette smoke-induced oxidative stress.

In this study, the extraction process of grape pomace from the Lebanese autochthonous cultivar Asswad Karech was enhanced through the selection of specific parameters, yielding an antioxidant extract (20 mg/mL) that was co-loaded with resveratrol (5 mg/mL) into phospholipid vesicles containing penetration enhancers (PEVs). Propylene glycol (PG) was incorporated as a penetration enhancer at concentrations of 10, 20, and 30 % to obtain 10 PG-PEVs, 20 PG-PEVs, and 30 PG-PEVs. Vesicle preparation was achieved through direct sonication, yielding unilamellar and bilamellar vesicles with an average size of ∼205; 234 nm, a monodisperse distribution (polydispersity index <0.

Exploring Quinazoline as a Scaffold for Developing Novel Therapeutics in Alzheimer's Disease.

Quinazoline, a privileged scaffold in medicinal chemistry, offers promising potential in the synthesis of anti-Alzheimer's disease (AD) drugs. This heterocyclic compound, characterized by its fused benzene and pyrimidine rings, enables the design of multifunctional agents targeting AD pathology. The drug-like aspects and pharmaceutical features of quinazoline derivatives have the potential to give rise to various therapeutic drugs.

Interaction between intubation and stress regarding hemodynamic and hormonal changes.

Objective: To compare the efficacy of dexmedetomidine and fentanyl to reduce hemodynamic and biochemical stress markers associated with endotracheal intubation under general anesthesia.

Methods: We performed a prospective randomized controlled study of 80 patients and 20 healthy controls at Assiut University from January to June 2024. The patients were allocated to two groups: Group D received dexmedetomidine and Group F received fentanyl.

Development and Validation of a Workflow Instrument to Evaluate the Success of Electronic Health Records Implementation from a Nursing Perspective: An Exploratory and Descriptive Study.

Introduction: Electronic medical records (EMR) have been recognized as practical tools for the improvement of the quality and safety of healthcare despite their occasional use in hospitals worldwide. Epic is an integrated software suite with functionality ranging from patient administration through systems for healthcare providers to billing systems, integration to the primary health sector, and a facility for granting patients access to their data. The implementation process is complicated; creating effective methods requires understanding users' attitudes about these information technologies.

Impact of physical activity on physical function, mitochondrial energetics, ROS production, and Ca handling across the adult lifespan in men.

Aging-related muscle atrophy and weakness contribute to loss of mobility, falls, and disability. Mitochondrial dysfunction is widely considered a key contributing mechanism to muscle aging. However, mounting evidence positions physical activity as a confounding factor, making unclear whether muscle mitochondria accumulate bona fide defects with aging.

Optimal scheduling of solar powered EV charging stations in a radial distribution system using opposition-based competitive swarm optimization.

Solar-powered EV charging stations offer a sustainable and reliable alternative to traditional charging infrastructure, significantly alleviating stress on legacy grid systems. However, the intermittent nature of renewable energy sources poses a challenge for energy management in power distribution networks. To address this, optimal charge/discharge scheduling of EVs becomes crucial.

A novel TID + IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system.

Implementing a suitable load frequency controller to maintain the power balance equation for a multi-area system with many power generating units poses a challenge to a power system engineer. Incorporation of renewable energy sources along with non-renewable units is another challenge while maintaining the stability of the system. Hence a robust intelligent controller is an essential requirement to achieve the objective of automatic load frequency control.

A deep learning-driven multi-layered steganographic approach for enhanced data security.

In the digital era, ensuring data integrity, authenticity, and confidentiality is critical amid growing interconnectivity and evolving security threats. This paper addresses key limitations of traditional steganographic methods, such as limited payload capacity, susceptibility to detection, and lack of robustness against attacks. A novel multi-layered steganographic framework is proposed, integrating Huffman coding, Least Significant Bit (LSB) embedding, and a deep learning-based encoder-decoder to enhance imperceptibility, robustness, and security.

Practices and knowledge of community pharmacists towards the use of proton pump inhibitors: a cross-sectional study in Jordan.

Objectives: The widespread use of proton pump inhibitors (PPIs) raised concerns on the safety of long-term use of these drugs. Community pharmacists have great responsibility of educating patients on these drugs which requires having adequate knowledge. The aim of this study was to assess the practices and knowledge of community pharmacists regarding PPIs.

Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm.

Facial expression recognition (FER) has advanced applications in various disciplines, including computer vision, Internet of Things, and artificial intelligence, supporting diverse domains such as medical escort services, learning analysis, fatigue detection, and human-computer interaction. The accuracy of these systems is of utmost concern and depends on effective feature selection, which directly impacts their ability to accurately detect facial expressions across various poses. This research proposes a new hybrid approach called QIFABC (Hybrid Quantum-Inspired Firefly and Artificial Bee Colony Algorithm), which combines the Quantum-Inspired Firefly Algorithm (QIFA) with the Artificial Bee Colony (ABC) method to enhance feature selection for a multi-pose facial expression recognition system.