Evaluation of circ_0002232 and circ-vimentin gene expressions as valuable biomarkers in acute myeloid leukemia patients.

Background And Aim: Acute myeloid leukemia (AML) is a remarkably complex malignancy; with considerable genetic, epigenetic, and phenotypic heterogenicity. Circ-RNAs are a novel class of non-coding RNA. They may influence leukemia development and offer exciting possibilities for targeted AML diagnosis and therapy.

Assessment and Evaluation of Consumer Awareness and Self-Medication Use Practices Towards Over the Counter (OTC) Analgesics. A Cross-Sectional Study in Abha-Saudi Arabia.

Objectives: To assess and evaluate consumer awareness and common medication use practices towards OTC analgesics, with a focus on the impact of irrational drug use and its implications for public health and safety. This includes identifying gaps in knowledge, evaluating the potential consequences of misuse, and discussing how these findings can inform future educational initiatives and policy development to promote safer medication practices.

Methods: This was a cross-sectional, semi-quantitative survey of 750 Saudi volunteers both males and females aged between 18 and 65 years.

Increased Mineral-Associated Organic Carbon and Persistent Molecules in Allochthonous Blue Carbon Ecosystems.

Coastal wetlands contain very large carbon (C) stocks-termed as blue C-and their management has emerged as a promising nature-based solution for climate adaptation and mitigation. The interactions among sources, pools, and molecular compositions of soil organic C (SOC) within blue C ecosystems (BCEs) remain elusive. Here, we explore these interactions along an 18,000 km long coastal line of salt marshes, mangroves, and seagrasses in China.

Threonine and tyrosine kinase (TTK) mRNA and protein expression in breast cancer; prognostic significance in the neoadjuvant setting.

Aims: Threonine and tyrosine kinase (TTK) is up-regulated in triple-negative breast cancer (TNBC), yet its expression in patients undergoing neoadjuvant chemotherapy (NACT) remains unexplored. This investigation aims to assess TTK protein expression in treatment-naïve pre-treatment cores and paired pre- and post-NACT breast cancer (BC) cohorts, as well as its correlation with microcephaly 1 (MCPH1) protein expression.

Methods And Results: Transcriptomic data were sourced from the Gene Expression Omnibus microarray database for mRNA expression analysis.

Genome-wide association neural networks identify genes linked to family history of Alzheimer's disease.

Augmenting traditional genome-wide association studies (GWAS) with advanced machine learning algorithms can allow the detection of novel signals in available cohorts. We introduce "genome-wide association neural networks (GWANN)" a novel approach that uses neural networks (NNs) to perform a gene-level association study with family history of Alzheimer's disease (AD). In UK Biobank, we defined cases (n = 42 110) as those with AD or family history of AD and sampled an equal number of controls.

Feasibility within-subject RCT of neuromuscular electrical stimulation; an Intervention to Maintain and improve neuroMuscular function during period of Immobility (IMMI).

Introduction: Neuromuscular electrical stimulation (NMES) is a potentially effective intervention to improve outcomes after a fragility fracture, but its feasibility in this group has not been established.

Methods: A feasibility study was conducted in two phases: 1) in the hospital only, and 2) hospital, rehabilitation centres, and participants' homes. Patients with fragility fracture were randomised to receive NMES for 6 weeks/discharge either to the right or left leg, with the other leg serving as control.

Quantum-resilient software security: A fuzzy AHP-based assessment framework in the era of quantum computing.

The introduction of quantum computing has transformed the setting of information technology, bringing both unprecedented opportunities and significant challenges. As quantum technologies continue to evolve, addressing their implications for software security has become an essential area of research. This paradigm change provides an unprecedented chance to strengthen software security from the start, presenting a plethora of novel alternatives.

Nutritional Profiling of Wild Edible Plants: Quantification of Macronutrients and Minerals via Energy Dispersive X-ray (EDX) Fluorescence Spectroscopy.

The wild edible plants offer a valuable resource for food and human nutrition. The current study aimed to analyze the proximate composition and ethno-medicinal profiles of twenty selected wild edible plants from the Malakand District, Pakistan. The proximate composition (moisture, ash, crude protein, crude fat, and dietary fiber) was analyzed following Association of Official Agricultural Chemists (AOAC) protocols.

Accurate localization of indoor high similarity scenes using visual slam combined with loop closure detection algorithm.

Accurate localization is a critical technology for the application of intelligent robots and automation systems in complex indoor environments. Traditional visual SLAM (Simultaneous Localization and Mapping) techniques often face challenges with localization accuracy in high similarity scenes. To address this issue, this paper proposes an improved visual SLAM loop closure detection algorithm that integrates deep learning techniques.

On escape criterion of an orbit with s-convexity and illustrations of the behavior shifts in Mandelbrot and Julia set fractals.

Our study presents a novel orbit with s-convexity, for illustration of the behavior shift in the fractals. We provide a theorem to demonstrate the escape criterion for transcendental cosine functions of the type Tα,β(u) = cos(um)+αu + β, for [Formula: see text] and m ≥ 2. We also demonstrate the impact of the parameters on the formatted fractals with numerical examples and graphical illustrations using the MATHEMATICA software, algorithm, and colormap.

Next-generation diabetes diagnosis and personalized diet-activity management: A hybrid ensemble paradigm.

Diabetes, a chronic metabolic condition characterised by persistently high blood sugar levels, necessitates early detection to mitigate its risks. Inadequate dietary choices can contribute to various health complications, emphasising the importance of personalised nutrition interventions. However, real-time selection of diets tailored to individual nutritional needs is challenging because of the intricate nature of foods and the abundance of dietary sources.

Advancing breast cancer diagnosis: token vision transformers for faster and accurate classification of histopathology images.

The vision transformer (ViT) architecture, with its attention mechanism based on multi-head attention layers, has been widely adopted in various computer-aided diagnosis tasks due to its effectiveness in processing medical image information. ViTs are notably recognized for their complex architecture, which requires high-performance GPUs or CPUs for efficient model training and deployment in real-world medical diagnostic devices. This renders them more intricate than convolutional neural networks (CNNs).

Enhancing the power quality in radial electrical systems using optimal sizing and selective allocation of distributed generations.

Optimizing energy resources is a major priority these days. Increasing household energy demand often leads to the deterioration of poorly sized distribution networks. This paper presents a method for energy compensation and optimization in radial distribution systems (ORDS).

Synergistic design of a graphene oxide-mediated polyaniline/α-FeO ternary heterostructure: advancing photocatalytic degradation and adsorption efficiency.

With the growing threat of organic pollutants in water bodies, there is an urgent need for sustainable and efficient water decontamination methods. This research focused on synthesizing a novel Z-scheme ternary heterostructure composed of graphene oxide (GO)-mediated polyaniline (PANI) with α-FeO and investigated its potential in brilliant green (BrG) and ciprofloxacin (CIP) degradation tests under visible light. The ternary composite demonstrated exceptional photocatalytic activity, with the optimized 10%PANI/GO/α-FeO (10PGF) photocatalyst achieving 99.

Practices and preferences in the use of magnification among endodontists and restorative dentists: A multicentre study.

Background And Objectives: Aim of the current study was to assess the perception, preference, and practice of endodontists and restorative dentists at different locations around the world about dental magnification instruments.

Materials And Methods: A multicenter, cross-sectional study was ethically approved from the local committee of bioethics. After thorough literature search, a questionnaire was designed and validated.

Awareness of anaphylaxis among public in Al-Ahsa City of Saudi Arabia: A cross-sectional study.

Background: Anaphylaxis is a severe, life-threatening allergic reaction requiring prompt treatment with epinephrine. However, gaps in public understanding exist globally. To guide future education efforts, this study assessed anaphylaxis awareness among adults in Al-Ahsa, Saudi Arabia.

Revealing the impact of tadalafil-loaded proniosomal gel against dexamethasone-delayed wound healing via modulating oxido-inflammatory response and TGF-β/Macrophage activation pathway in rabbit model.

A serious challenge of the chronic administration of dexamethasone (DEX) is a delay in wound healing. Thus, this study aimed to investigate the potential of Tadalafil (TAD)-loaded proniosomal gel to accelerate the healing process of skin wounds in DEX-challenged rabbits. Skin wounds were induced in 48 rabbits of 4 groups (n = 12 per group) and skin wounds were treated by sterile saline (control), TAD-loaded proniosomal gel topically on skin wound, DEX-injected rabbits, and DEX+TAD-loaded proniosomal gel for 4 weeks.

Microscopy and spatial-metabolomics identify tissue-specific metabolic pathways uncovering salinity and drought tolerance mechanisms in Avicennia marina and Phoenix dactylifera roots.

In arid and semi-arid climates, native plants have developed unique strategies to survive challenging conditions. These adaptations often rely on molecular pathways that shape plant architecture to enhance their resilience. Date palms (Phoenix dactylifera) and mangroves (Avicennia marina) endure extreme heat and high salinity, yet the metabolic pathways underlying this resilience remain underexplored.

Efficacy of different adhesive systems in bonding direct resin composite restorations: a systematic review and meta-analysis.

Objective: This study aimed to identify and evaluate scholarly research on the efficacy, durability, and long-term stability of various adhesive systems used for bonding direct resin composite restorations and to identify factors influencing bonding performance, such as adhesive composition, application protocol, substrate type, and etching technique.

Materials And Methods: An all-inclusive electronic database search for peer-reviewed scholarly journal articles was conducted using PubMed, ScienceDirect, Google Scholar, Dimensions, and the Cochrane Library for research articles investigating the effectiveness of different adhesive systems in direct resin composite restorations, excluding reviews, meta-analyses, opinion pieces, and case reports. The risk of bias was assessed using the Cochrane tool (Robvis 2.

A novel approach to assess acid diversion efficiency in horizontal wells.

Using an acid to stimulate a heterogeneous carbonate reservoir during matrix acidizing may lead to over-treating the high permeability zones, leaving low permeability zones untreated. This is particularly exacerbated in long horizontal sections, necessitating the use of acid diverters for effective acid distribution across the formation. In previous studies, conventional core flooding systems were utilized where single inlet and outlet lines were used or, at best, two outlet lines for dual-core flooding.

Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments.

Industry 4.0 represents the fourth industrial revolution, which is characterized by the incorporation of digital technologies, the Internet of Things (IoT), artificial intelligence, big data, and other advanced technologies into industrial processes. Industrial Machinery Health Management (IMHM) is a crucial element, based on the Industrial Internet of Things (IIoT), which focuses on monitoring the health and condition of industrial machinery.

Multi-dimensional scaling for space-time transformation to achieve sustainable planning and management of water resource under changing land use pattern.

The land use transition plays an important role for terrestrial environmental services, which had a mixed impact of positive and negative on the groundwater and terrestrial water resource. The health of ecological systems and groundwater depends on the mapping and management of land use. The Ganga basin is one of the most densely populated and agriculture-intensive river systems in the South Asia and the world.

Prevalence and histopathological analysis of cystic echinococcosis in ruminants of District Narowal, Pakistan: focus on pulmonary involvement.

A total of 384 animals (sheep, goat, cattle, and buffalo) were examined for the presence of hydatid cysts only in the lungs. The lung tissue samples associated with the hydatid cyst were collected immediately after slaughter, followed by fixation in 10% formalin. The fixed tissue was subjected to paraffin embedding technique.