Metabolomic Profile Modification in the Cerebellum of Mice Repeatedly Exposed to Khat and Treated with β-Lactamase Inhibitor, Clavulanic Acid.

Background/objectives: Catha edulis, commonly known as khat, is used for its psychoactive effects and is considered a natural amphetamine. The current study investigated the metabolomic profile in the cerebellum of mice after repeated exposure to khat and evaluated the effects of clavulanic acid on the metabolomic profile in the cerebellum in khat-treated mice.

Methods: Male C67BL/6 mice that were 6-9 weeks old were recruited and divided into three groups: the control group was treated with 0.

Innovative nanocarrier systems for enhanced delivery of phyto-active compounds in cancer therapy.

Millions of people worldwide suffer from cancer, facing challenges such as treatments affecting healthy cells, suboptimal responses, adverse effects, recurrence risk, drug resistance, and nonspecific targeting. Chemoresistance leads to fatalities, but phytoactives show promise in cancer management despite limitations such as high metabolism, poor absorption, and high dosage requirements. Challenges in the large-scale isolation of phytoactive compounds, solubility, bioavailability, and targeting limit their development.

Bernoulli polynomials for a new subclass of Te-univalent functions.

This paper introduces a novel subclass, denoted as , of Te-univalent functions utilizing Bernoulli polynomials. The study investigates this subclass, establishing initial coefficient bounds for , , and the Fekete-Szegö inequality, namely , are derived for this class. Additionally, several corollaries are provided to further elucidate the implications of the findings.

DCA-Enhanced Alzheimer's detection with shearlet and deep learning integration.

Alzheimer's dementia (AD) is a neurodegenerative disorder that affects the central nervous system, causing the cells to stop working or die. The quality of life for individuals with AD steadily declines over time. While current treatments can relieve symptoms, a definitive cure remains elusive.

Novel approach for predicting fake news stance detection using large word embedding blending and customized CNN model.

The proliferation of fake news is one of the major problems that causes personal and societal harm. In today's fast-paced digital age, misinformation spreads rapidly, often leaving individuals without the time to verify the authenticity of the information. This can cause irreparable damage to personal reputations and organizational credibility.

Kernel random forest with black hole optimization for heart diseases prediction using data fusion.

In recent years, the Internet of Things has played a dominant role in various real-time problems and given solutions via sensor signals. Monitoring the patient health status of Internet of Medical Things (IoMT) facilitates communication between wearable sensor devices and patients through a wireless network. Heart illness is one of the reasons for the increasing death rate in the world.

Microwave/ultrasonic powered in-liquid plasma-assisted synthesis of 3D-hierarchical nanoporous network wheat-straw lignin/thiadiazole amide-modified cellulose sponge composite for oil-in-water emulsion separation and microbiological disinfection.

Innovative super-hydrophilic/superoleophobic eco-friendly sponge composite is fabricated by integrating chemically-modified cellulose with lignin derived from bio-waste wheat-straw. Such combination is implemented by modifying cellulose with thiadiazole-amide and integrating it with lignin using microwave/ultrasonic-powered in-liquid plasma. Physicochemical characteristics of sponge-composite (WL-TDAC) are studied using FTIR, N-physisorption, DLS, SEM, chemical-computational analysis, and surface wettability.

The functional TNF-αG > a single-nucleotide polymorphism (rs1800629): association with the predictive indices of breast cancer carcinogenesis.

Background: Compared with all other cancer types, Breast cancer (BC) among women has now exceeded them all as the primary reason for cancer worldwide. The BC represents 11.7% of all cancer cases and accounts for a predestined 2.

Awareness, Knowledge, Attitudes, and Practices of Diabetic Nephropathy Among the General Population in Hafr Al Batin, Saudi Arabia: A Cross-Sectional Study.

Background Diabetic nephropathy, a leading cause of end-stage renal disease (ESRD), plays a part in the critical healthcare burden globally, especially in Saudi Arabia, where the prevalence of diabetes cases is among the highest worldwide. This study aims to assess the awareness, knowledge, attitudes, and practices (A-KAP) in relation to diabetic nephropathy among the general population in Hafr Al Batin, Saudi Arabia. Methods A cross-sectional study was conducted between January and September 2024, involving 406 participants with a minimum age range of 18 years and older.

Rumen-Targeted Mining of Enzymes for Bioenergy Production.

Second-generation biofuel production, which aims to convert lignocellulose to liquid transportation fuels, could be transformative in worldwide energy portfolios. A bottleneck impeding its large-scale deployment is conversion of the target polysaccharides in lignocellulose to their unit sugars for microbial fermentation to the desired fuels. Cellulose and hemicellulose, the two major polysaccharides in lignocellulose, are complex in nature, and their interactions with pectin and lignin further increase their recalcitrance to depolymerization.

Predicting ergonomic risk among laboratory technicians using a Cheetah Optimizer-Integrated Deep Convolutional Neural Network.

Medical laboratory technicians play a significant role in clinical units by conducting diagnostic tests and analyses. However, their job nature involving repetitive motions, prolonged standing or sitting, etc., leads to potential ergonomic risks.

Vesicular Carriers for Improved Oral Anticoagulation Competence of Rivaroxaban: In Vitro and In Vivo Investigation.

Rivaroxaban is an anticoagulant for avoidance and therapy of thromboembolic disorders. Unfortunately, oral bioavailability of rivaroxaban is compromised with dose increments. Accordingly, the aim was to test nano-vesicular lipid systems for improved oral anticoagulation activity of rivaroxaban.

Phenolic Profile of Seedless Ziziphus mauritiana Fruits and Leaves Extracts with In Vivo Antioxidant and Anti-Inflammatory Activities: Influence on Pro-Inflammatory Mediators.

The present study aimed to assess the antioxidant and anti-inflammatory activities of polyphenol-rich extracts of seedless variety of Ziziphus mauritiana (SZM). Reverse Phase High Performance Liquid Chromatography (RP-HPLC) analysis of SZM leaves and fruit extracts in ethanol revealed the presence of sixteen phenolics including chlorogenic acid, p-coumeric acid, gallic acid, kaempferol, rutin and quercetin. Leaf extract showed higher total phenolic and total flavonoid contents (177.

A review of the role of graphene-based nanomaterials in tackling challenges posed by the COVID-19 pandemic.

In 2020, the World Health Organization (WHO) declared a pandemic due to the emergence of the coronavirus disease (COVID-19) which had resulted by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). At present, the emergence of many new variants and mutants were found to be more harmful compared to the previous strains. As a result, research scientists around the world had devoted significant efforts to understand the mechanism, causes and transmission due to COVID-19 along with the treatment to cure these diseases.

Silicomanganese fume-based alkali-activated mortar: experimental, statistical, and environmental impact studies.

This paper evaluates the flowability and strength properties of alkali-activated mortar produced using silicomanganese fume (SiMnF) as the sole binder, combined with alkaline activators and sand, cured at room temperature (23 ± 1 °C). A total of 18 mixes were prepared by varying binder content (370, 470, and 570 kg/m), alkaline activator content (33, 43, and 53% of binder by weight), and NaOH concentration (8 M and 12 M). The SiMnF-based alkali-activated pastes were characterized using SEM, XRD, and FTIR techniques to study morphology, mineral composition, and functional groups, respectively.

Protein requirements in adults with phenylketonuria and bioavailability of glycomacropeptide compared to an l-amino acid-based product.

Background: Phenylketonuria (PKU) is caused by phenylalanine hydroxylase deficiency. Treatment is primarily a low-Phe diet combined with l-amino acid-based products (l-AA). Protein requirements in adults with PKU have not been directly determined.

Differential modulation of photosystem II photochemical efficiency in six C xero-halophytes.

Xero-halophytes are the salt-tolerant plants of dry habitats that adapt efficient strategies to endure extreme salt and water fluctuations. This study elucidated the adaptations related to PSII photochemistry, photoprotection, and photoinhibition in six C4 xero-halophytes (Atriplex stocksii , Haloxylon stocksii , Salsola imbricata, Suaeda fruticosa, Desmostachya bipinnata , and Saccharum griffithii ) grown in their native habitats. Chlorophyll a fluorescence quenching measurements suggested that S.

Galangin prevents gentamicin-induced nephrotoxicity by modulating oxidative damage, inflammation and apoptosis in rats.

The well-known antibiotic gentamicin (GEN) works well against a variety of pathogenic bacteria, nevertheless its therapeutic use might be limited by the possibility of nephrotoxicity. The naturally occurring flavonoid galangin (GAL) has several interesting anti-inflammatory and antioxidant properties. The present study evaluated the nephroprotective effect of GAL on GEN-induced renal injury.

Predicting High-Strength Concrete's Compressive Strength: A Comparative Study of Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Response Surface Methodology.

Machine learning and response surface methods for predicting the compressive strength of high-strength concrete have not been adequately compared. Therefore, this research aimed to predict the compressive strength of high-strength concrete (HSC) using different methods. To achieve this purpose, neuro-fuzzy inference systems (ANFISs), artificial neural networks (ANNs), and response surface methodology (RSM) were used as ensemble methods.

An automated approach to predict diabetic patients using KNN imputation and effective data mining techniques.

Diabetes is thought to be the most common illness in underdeveloped nations. Early detection and competent medical care are crucial steps in reducing the effects of diabetes. Examining the signs associated with diabetes is one of the most effective ways to identify the condition.

Olive oil and flaxseed oil incorporating niosomes for enhanced anti-diabetic efficacy of canagliflozin.

Background: Canagliflozin (CFZ) is broadly implicated for the management of type 2 diabetes mellitus. Unfortunately, it has low oral bioavailability due to poor solubility behavior and restricted membrane permeability.

Objective: The current work focuses on development of CFZ encapsulated niosomes for enhanced oral anti-diabetic efficacy.