Broccoli () leaves exhibit significant antidiabetic potential in alloxan-induced diabetic rats: the putative role of ABC vacuolar transporter for accumulation of Quercetin and Kaempferol.

Background: The global prevalence of diabetes among adults over 18 years of age is expected to increase from 10.5% to 12.2% (between 2021 and 2045).

Csec-net: a novel deep features fusion and entropy-controlled firefly feature selection framework for leukemia classification.

Leukemia, a life-threatening form of cancer, poses a significant global health challenge affecting individuals of all age groups, including both children and adults. Currently, the diagnostic process relies on manual analysis of microscopic images of blood samples. In recent years, machine learning employing deep learning approaches has emerged as cutting-edge solutions for image classification problems.

Honey bee inspired resource allocation scheme for IoT-driven smart healthcare applications in fog-cloud paradigm.

The Internet of Things (IoT) paradigm is a foundational and integral factor for the development of smart applications in different sectors. These applications are comprised over set of interconnected modules that exchange data and realize the distributed data flow (DDF) model. The execution of these modules on distant cloud data-center is prone to quality of service (QoS) degradation.

LARYNGEAL MUCORMYCOSIS IN AN UNCONTROLLED DIABETIC PATIENT: A CASE REPORT.

Background: With rising conditions in immunocompromised states, the world is facing the challenge of fungal infections with mucormycosis which was rare previously. With the rise in diabetic patients, COVID-19-related immunosuppression, and steroid use, along with an increasing number of transplant and chemotherapy patients, there has been a notable surge in mucorales infections. Although patients with rhino-orbit-cerebral mucormycosis are the most common type of pulmonary rare ones.

Optimizing video data security: A hybrid MAES-ECC encryption technique for efficient internet transmission.

Data security is becoming important as the amount of video data transmitted over the internet grows rapidly. This research article aims to maximize the security of transmitted video data by proposing a novel hybrid technique for video encryption and decryption. Elliptic Curve Cryptography (ECC) and the Modified Advanced Encryption Standard (MAES) are two encryption techniques that are included in the hybrid approach.

A case of pseudoaneurysm of the marginal artery of Drummond post-open abdominal aortic aneurysm (AAA) repair.

We present the first published account of a pseudoaneurysm of the Marginal artery of Drummond (MAoD) following an emergency open surgical repair of an inflammatory abdominal aortic aneurysm, in which the inferior mesenteric artery was ligated. This was hypothesized to be an iatrogenic injury secondary to retraction of the colonic mesentery during dissection of the aneurysm neck. The risk of pseudoaneurysm growth and rupture versus bowel ischaemia were evaluated in the post-operative phase.

Advanced nanomaterials and metal-organic frameworks for catalytic bio-diesel production from microalgal lipids - A review.

Increasing energy demands require exploring renewable, eco-friendly (green), and cost-effective energy resources. Among various sources of biodiesel, microalgal lipids are an excellent resource, owing to their high abundance in microalgal biomass. Transesterification catalyzed by advanced materials, especially nanomaterials and metal-organic frameworks (MOFs), is a revolutionary process for overcoming the energy crisis.

The AlzMatch Pilot Study - Feasibility of Remote Blood Collection of Plasma Biomarkers for Preclinical Alzheimer's Disease Trials.

Background: Advances in plasma biomarkers to detect Alzheimer's disease (AD) biology allows researchers to improve the efficiency of participant recruitment into preclinical trials. Recently, protein levels of plasma amyloid-beta and tau proteins have been shown to be predictive of elevated amyloid in brain. Online registries, such as the Alzheimer's Prevention Trials (APT) Webstudy, include and follow participants using remote assessments to facilitate efficient screening and enrollment of large numbers of individuals who may be at higher risk for AD.

Orbital Lesions: A bird's eye view of series of 2068 cases in 27 years in a tertiary care hospital in Pakistan.

Objective: To determine the relative frequency of orbital lesions based on the site of origin and histopathology at a Tertiary care hospital (Mayo Hospital, Lahore Pakistan) from 1996 till 2022 (27 years).

Methods: This descriptive case series included 2651 patients of all age groups presenting with orbital lesions who initially got enrolled at Institute of Ophthalmology Mayo Hospital, Lahore from 1996 till 2022. Of these, 583 patients left against medical advice.

Endometriosis and In Vitro Fertilization.

In vitro fertilization (IVF) is an established option for the management of infertility in patients with endometriosis, though there remains ongoing debate around the extent to which endometriosis may compromise IVF treatment success, in which fertilization and preimplantation embryo development occur outside the pelvis. Whether endometriosis impacts oocyte and embryo quality and/or endometrial receptivity remains central to this debate. Here, we review the current literature relating to the impact of endometriosis on IVF outcomes and management strategies to consider when performing IVF treatment.

Impact of Processing on the Phenolic Content and Antioxidant Activity of L. Moench.

Sorghum, a cereal grain rich in nutrients, is a major source of phenolic compounds that can be altered by different processes, thereby modulating their phenolic content and antioxidant properties. Previous studies have characterised phenolic compounds from pigmented and non-pigmented varieties. However, the impact of processing via the cooking and fermentation of these varieties remains unknown.

The effectiveness of prolonged downregulation with gonadotrophin-releasing hormone analogue (GnRHa) treatment in women with adenomyosis undergoing IVF/ICSI: A systematic review and meta-analysis.

Importance: Adenomyosis can reduce the chance of clinical pregnancy in women undergoing assisted conception. Treatment with prolonged gonadotrophin-releasing hormone analogue (GnRHa) downregulation prior to IVF/ICSI has been postulated to improve pregnancy outcomes.

Objective: We aimed to evaluate the effectiveness and safety of prolonged GnRHa treatment (minimum one month) versus no pre-treatment in women with adenomyosis undergoing IVF/ICSI using a systematic review and meta-analysis.

Spirothiazolidine-Derivative on Silver Nanoparticles and Carbon Nanotubes: Evaluation of Antibacterial, Anti-Fungal, Anti-Inflammatory, Antioxidant and Gastroprotective Activities.

This study aims to develop innovative heterocyclic nanocomposites incorporating silver nanoparticles (SNPs) for potential therapeutic applications targeting infections, gastric ulceration, inflammation, and oxidative damage. By synthesizing new derivatives of spiro-thiazolidine-carbonitrile (Py-ST-X) and incorporating them into Ag nanoparticles (AgNPs) and carbon nanotubes (CNTs), we have prepared Ag@Py-ST-X and Ag@Py-ST-X@CNT nanocomposites, respectively. The physical properties of these materials were studied using XRD, TEM, SEM, and Zeta potential techniques.

Maximizing the Utility of Alzheimer's Disease Trial Data: Sharing of Baseline A4 and LEARN Data.

Background: The Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) and Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) studies were conducted between 2014 and 2023, with enrollment completed in 2017 and final study results reported in 2023. The study screening process involved the collection of initial clinical, cognitive, neuroimaging, and genetic measures to determine eligibility. Once randomized, enrolled participants were assessed every four weeks over a 4.

Longitudinal Phospho-tau217 Predicts Amyloid Positron Emission Tomography in Asymptomatic Alzheimer's Disease.

Background: Blood-based AD biomarkers such as plasma P-tau217 are increasingly used in clinical trials as a screening tool.

Objectives: To assess the utility of an electrochemiluminescence (ECL) immunoassay in predicting brain amyloid PET status in cognitively unimpaired individuals.

Setting: Plasma samples collected at baseline, week 12, and week 240 or endpoint originated from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) trial and the companion Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) study.

Role of Postoperative Intact Parathyroid Hormone Levels in Predicting Hypocalcaemia after Thyroidectomy.

Objective: To determine the sensitivity and specificity of intact parathyroid hormone (iPTH) levels in predicting hypocalcaemia after thyroidectomy.

Study Design: A descriptive cross-sectional study. Place and Duration of the Study: Department of General Surgery, Shifa International Hospital and Shifa Foundation, Islamabad, from May 2021 to 2022.

Improving lung point-of-care ultrasound (POCUS) training and accreditation - a multidisciplinary, multi-centre and multi-pronged approach to development and delivery using the action learning process.

Background: Point-of-Care Ultrasound (POCUS) consists of a range of increasingly important imaging modalities across a variety of specialties. Despite a variety of accreditation pathways available in the UK, lung POCUS training remains difficult to deliver and accreditation rates remain suboptimal. We describe a multidisciplinary, multi-centre, and multi-pronged approach to lung POCUS education within a region.

Compounded wind gusts and maximum temperature via semiparametric copula in the risk assessments of power blackouts and air conditioning demands for major cities in Canada.

A semiparametric copula joint framework was proposed to model wind gust speed (WGS) and maximum temperature (MT) in Canada, using Gaussian kernel density estimation (GKDE) with parametric copulas. Their joint probability estimates allow for a better understanding of the risk of power blackouts and the demand for air conditioning in the community. The bivariate framework used two extreme sample groups to define extreme pairs at different time lags, i.

Development and characterization of a biodegradable film based on guar gum-gelatin@sodium alginate for a sustainable environment.

A significant amount of plastic trash has been dumped into the environment across the world, contributing to the present white pollution crisis. Therefore, plastic manufacturing and disposal must be examined. Biodegradable plastics (BPs) have recently become the subject of study due to their beneficial biodegradability and harmlessness, and they have been the most efficient method for addressing the issue of plastic pollution.

Embolic Strokes in Paroxysmal Atrial Fibrillation: Anticoagulation Failure or Something Else?

Infective endocarditis (IE) often presents with various signs and/or symptoms. However, at times, IE can present without outstanding clinical evidence but may carry devastating consequences if not detected and treated. We present a case of an 81-year-old female with paroxysmal atrial fibrillation who presented to the emergency department with slurred speech.

Utilization of microalgae for agricultural runoff remediation and sustainable biofuel production through an integrated biorefinery approach.

Generally wastewater such agricultural runoff is considered a nuisance; however, it could be harnessed as a potential source of nutrients like nitrates and phosphates in integrated biorefinery context. In the current study, microalgae Chlorella sp. S5 was used for bioremediation of agricultural runoff and the leftover algal biomass was used as a potential source for production of biofuels in an integrated biorefinery context.

Decision algorithm for educational institute selection with spherical fuzzy heronian mean operators and Aczel-Alsina triangular norm.

This article presents a novel study of spherical fuzzy sets (SFSs), a more comprehensive framework of intuitionistic fuzzy sets and picture fuzzy sets. The SFS allows the decision-makers (DMs) to cope with complicated and insufficient information during the aggregation process. The Heronian mean (HrM) model theory is also utilized to express correlation among different input arguments or characteristics.