Majmaah University

Thermal plume intensification and double-diffusive transport in sawtooth-finned non-Newtonian enclosures with dual-ANN prediction

Advanced thermal engineering increasingly demands compact geometries that intensify heat and mass transport for energy storage, electronic cooling, and high-performance heat exchangers. This study introduces a centrally heated and concentrated triangular sawtooth fin within a non...

Investigation of cavitation erosion behavior of additive manufactured parts produced by material extrusion: role of exposure time and layer thickness

Purpose This study aims to investigate the influence of exposure time and layer thickness on the cavitation erosion resistance of poly lactic acid (PLA) specimens fabricated via additive manufacturing (AM), with the aim of clarifying how these two factors influence erosion behavi...

Prevalence and characteristics of self-reported sports-related injuries among university students: a cross-sectional study

Sports-related injuries among recreationally active university students remain incompletely described. This study estimated past-year injury prevalence, described lifetime injury-history characteristics, and explored associations between past-year injury occurrence and participan...

Assessment of compressive characteristics of coir fiber-reinforced concrete modified with wheat straw ash using predictive modeling

The growing demand for environmentally responsible construction materials requires reliable tools to predict the compressive strength of concrete incorporating agricultural waste and natural fibers. This study investigates the prediction of compressive strength of sustainable con...

Multiphysics computational study of coupled analysis of thermal energy and mass transfer in a non-Newtonian fluid under chemical reaction

Thermal and solute transport enhancement is a requirement of several industrial and engineering processes like thermal and cooling systems, thermal radiators, nuclear reactor cooling, HVAC and refrigeration, etc. The rheological constitutive relations, the Stefan-Boltzmann law fo...

Neural network analysis of electro-osmotic Sutterby nanofluidics in complex porous microsystem

Purpose The purpose of this study is to investigate nonlinear electro-osmotic transport of Sutterby nanofluid in a tapered porous microchannel saturated with a non-Darcy medium. This work analyzes the combined effects of electro-hydrodynamic forces, heat transfer, viscous dissipa...

Identification of reliable biomarkers by integration of transcriptomics and bioinformatics

Reliable biomarkers are indicators with distinctive traits that can be used as potential indicators for detecting the normality or abnormality of biological, physiological, or pharmacological processes. Depending on their applicability, these biomarkers can be generally categoriz...

Severe mental illness in the MENAT region: systematic review and meta-analysis of prevalence and comorbidities

Abstract Background Severe mental illnesses (SMIs), including schizophrenia spectrum disorders, bipolar disorders, and severe major depressive disorder (MDD), contribute substantially to disability and premature mortality worldwide. Evidence from the Middle East, North Africa, an...

Exact Solution for a Class of First-Order Reflected Equations Involving a Polynomial-Type Forcing Term of Arbitrary Finite Degree

Differential equations involving reflection of the argument arise in numerous mathematical models where the present state is coupled with its symmetric counterpart. In this paper, we investigate a challenging reflected equation, expressed as y′(t)=ay(t)+by(−t)+∑k=0mcktk, where th...

Multilayer perceptron-assisted multi-objective optimization of an integrated cryogenic biogas upgrading system for simultaneous liquid CO2, hydrogen, power, heating, and cooling production

Using biogas in an integrated multi-generation system is one of the possible solutions for optimizing the utilization of renewable energy, minimizing environmental effects, and enhancing resource efficiency. In the current project, a new multi-product energy setup using biogas is...

Green-Synthesized CuO Nanoparticles from Pomegranate Peel for Dual Electrochemical Detection and Adsorptive Removal of Tetracycline

Green nanomaterials have attracted considerable attention for environmental monitoring due to their sustainability and multifunctional properties. In this study, copper oxide nanoparticles were synthesized using pomegranate peel (pp) extract (CuO@PP) as a reducing and stabilizing...

Lattice based post quantum blockchain identity verification with zero knowledge proofs for decentralized finance

Digital identity verification in decentralized finance (DeFi) still depends on classical public key primitives such as RSA 2048 and ECDSA 256, which a cryptographically relevant quantum computer running Shor’s algorithm can break, while centralized identity providers add single p...

Motion in the ER3BP Under a Heterogeneous Triaxial Primary and a Modified Newtonian Force of the Secondary

This paper investigates the dynamical behaviour of an infinitesimal mass body moving under the gravitational influence of a heterogeneous triaxial primary body and a secondary body that produces a modified Newtonian gravitational force in the elliptic restricted three-body proble...

Association of diabetes and smoking with stroke subtypes and mortality in a Saudi cohort.

Introduction: Stroke is a leading cause of morbidity and mortality in Saudi Arabia, with its incidence projected to double by 2030. Diabetes and smoking are major modifiable risk factors. This study assessed their association with stroke type and mortality in a tertiary stroke un...

Dyeing of silk using binary mixture of harmal seeds and safflower petals

This study introduces a novel, sustainable binary extract-based dyeing strategy for silk, utilizing natural colorants sourced from harmal (Peganum harmala) seeds and flowers of safflower (Carthamus tinctorius) petals. A central composite design was employed to systematically opti...

Advanced hyperspectral snow and glacier classification using fully connected autoencoders

The accurate classification of snow and glacier surface features is essential for glacier monitoring, mass balance estimation, melt-runoff modeling, and climate impact assessment in high-mountain regions. Hyperspectral imagery provides rich spectral information that enables fine...

DTARNU-Net: Dense Tiered Attention Residual Nested U-Net for CT Liver Tumor Segmentation

Liver tumor segmentation is a significant task in clinical imaging that involves detecting liver tumors and distinguishing them from the surrounding liver tissue in CT scans. Precision segmentation performs important roles in the initial detection of liver cancer, treatment plann...

CBT-ICU transformer: a clinician-behaviour-aware multimodal deep learning framework for early detection of critical care adverse events in MIMIC-IV

Early identification of clinical deterioration in intensive care units (ICUs) remains a major challenge despite the availability of large-scale electronic health records. Most existing models focus primarily on physiological measurements such as vital signs and laboratory results...

Innovative development of an advanced machine learning modeling for predicting compressive strength of graphene-infused concrete: a SHAP and PDP approach

The quasi-brittle response of cementitious materials continues to limit their structural efficiency, necessitating advanced reinforcement strategies. While conventional fibers improve mechanical performance, the emergence of graphene-based nanomaterials offers new opportunities t...

ELLS–NSBA three-stage framework for optimal DG/SC placement and EV integration in distribution networks

The growing penetration of distributed generation (DG), shunt capacitors (SC), and electric vehicles (EVs) in distribution networks demands optimal siting strategies that balance operational efficiency and structural resilience. Existing metaheuristic approaches treat every bus a...