Adel Abdel-Wahab

Background: Artificial intelligence (AI) is increasingly used in nursing education, raising questions about students’ reliance on AI-assisted learning and their perceived critical-thinking attributes. Objective: To examine the cross-sectional association between AI-assisted learning dependency and self-reported critical-thinking scores among undergraduate nursing students. Methods: This descriptive, cross-sectional correlational study included 815 undergraduate nursing students recruited through non-probability convenience sampling at the Faculty of Nursing, Damietta University, Egypt. Study-specific self-report questionnaires were used. Data were analyzed using descriptive statistics, Pearson correlation, and simple linear regression. Results: The mean AI-assisted learning dependency score was 44.13 ± 8.89 of a possible 60 (73.54% of the theoretical maximum), and the mean self-reported critical-thinking score was 50.86 ± 7.75 of a possible 60 (84.76%). The total scores were weakly and positively correlated (r = 0.15, p < 0.001). In simple linear regression, AI-assisted learning dependency was positively associated with self-reported critical-thinking scores (B = 0.13, β = 0.15, R² = 0.02, p < 0.001). Conclusions: AI-assisted learning dependency had a weak positive cross-sectional association with self-reported critical-thinking attributes. The results do not establish a causal relationship or reflect objectively assessed critical-thinking performance. Further research incorporating psychometrically validated and performance-based assessments is warranted.

The aerospace sector's transition from pre-impregnated fabric and autoclave cure toward the resin infusion of dry non-crimp fabric requires that any nano-modification of the matrix remain compatible with the infusion process and, critically, resist filtration by the fabric. This study reports the characterisation, dispersion and manufacturing behaviour of an oxygen-functionalised graphene nanoplatelet in an aerospace-grade low-viscosity epoxy. SEM, energy-dispersive X-ray spectroscopy and Raman spectroscopy characterised the as-supplied particulate as a flake-like, bottom-up graphene-based material. The platelet was dispersed at 0.5 wt.% by three-roll milling, with dynamic light scattering of the dispersed system giving a volume-average size (Dv50) of 1.4 μm and a number-average of approximately 50 nm. Representative 2 mm and 4 mm non-crimp carbon-fibre panels were produced by an industry-standard resin-infusion process. Non-destructive testing, thickness and fibre-volume mapping, and optical microscopy were used to assess panel quality and consolidation. A dedicated filtration investigation combining nanoindentation, SEM and Raman spectroscopy compared the resin inlet and outlet lines. No detectable evidence of substantial inlet-to-outlet GNP filtration was observed using the three complementary techniques under the investigated conditions. The work introduces a three-technique protocol for assessing nanoparticle filtration in an opaque carbon-fibre composite system.

For decades, steel leaf springs have been widely used in automotive suspension systems but concerns over emissions and fuel efficiency remain. Fibre-reinforced composite leaf springs have emerged as a promising alternative due to their excellent strength-to-weight ratio, stiffness, and energy absorption. This study explores the feasibility of using a novel 3D-printed carbon fibre reinforced polymer (CFRP) mono-parabolic leaf spring (PLS) to replace conventional steel springs and reduce vehicle weight.A steel multi-leaf spring was mechanically tested, theoretically analysed, and simulated using finite element analysis (FEA), achieving 98.68% accuracy between simulated and actual deflection forces. A CFRP mono-PLS was then designed, 3D printed with optimised fibre reinforcement using Eiger simulations and mechanically tested. An FEA model based on equivalent homogeneous material (EHM) properties was developed, alongside theoretical analysis. Scanning electron microscopy (SEM) was used to examine the microstructure of the printed material.The results demonstrated significant weight savings with the CFRP spring, while achieving comparable von Mises stress and deflection characteristics to steel. These findings highlight the potential of CFRP springs for automotive applications and support the use of additive manufacturing and design optimisation to enhance the mechanical performance and cost-efficiency of future suspension components.

The fabrication of high-performance nickel-based metal matrix composites through laser powder bed fusion (L-PBF) represents a dominant area of research. This study introduces Titanium Carbide (TiC) nanoparticles and prepares the TiC–IN738LC composites using mechanical and wet chemical mixing methods. The morphology and sphericity of the powders produced by these methods were analyzed and observed that powders processed chemically retained superior morphology and characteristics over ball-milled, such as enhanced sphericity and uniform nanoparticle distribution. The mechanical properties of both methods were examined, revealing that powder morphology significantly influences the mechanical performance. Tensile tests indicated that TiC–IN738LC composites prepared chemically exhibited a ductility of 3.26%, a 55% improvement over the ball-milled method, although their strength of 1416 MPa was marginally lower than the 1518 MPa achieved through ball-milled. Additionally, microstructural defects are mitigated by wet chemically mixing route. A high-fidelity Computational Fluid Dynamics (CFD) modeling was employed to investigate the effects of powder sphericity on melt pool dynamics, elucidating the mechanisms behind lack of fusion and verifying the influence of powder physical characteristics on the microstructure and mechanical properties. This study clarifies the role of powder morphology in determining the mechanical properties of nickel-based metal composites in L-PBF processes.

Background: Recent reports of multiple Human Monkey Pox (HMPX) cases from several non-endemic nations in Europe, North America, and Oceania raise the possibility of an unexpected and concerning public health problem. Aim of the research: To examine the effect of educational intervention on knowledge and attitudes regarding Human Monkey Pox among primary school teachers in rural areas at Minia district. Research design: A quasiexperimental approach was utilized. Setting: The research was conducted at 5 governmental primary schools in rural areas at Minia district-Minia Governorate in Upper Egypt. Sample: A systematic random sampling of 180 primary school teachers. Tools of data collection: A self-administered questionnaire included the following parts: Part I: socio-demographic characteristic. Part II: participants' knowledge. Part III: participants' attitude. Result: About 18.3% of the studied teachers have good knowledge about human monkey pox pre teaching program compared with 71.1% of them have a very good knowledge post-teaching program. There are statistical significant differences in the subjects' level of knowledge and attitude regarding Human Monkey Pox after implementation of the educational intervention while the p value is 0.0001, 0.0001 respectively. Conclusion: Implementation of educational intervention was effective in raising the studied subjects' awareness regarding Human Monkey Pox. Recommendation: Continuous implementation of educational interventions regarding Human Monkey Pox among school population to enhance public awareness, raise the precautionary behaviors as well as mitigate the potential crisis.

There is an increasing demand for flexible, relatively inexpensive manufacturing techniques that can accommodate frequent changes to part design and production technologies, especially when limited batch sizes are required. Reconfigurable multi-point forming (MPF) is an advanced manufacturing technique which uses a reconfigurable die consisting of a set of moveable pins to shape sheet metal parts easily. This study investigates the use of a novel variable thickness waffle-type elastic cushion and a variable punch-loading profile to either eliminate or minimise defects associated with MPF, namely wrinkling, thickness variation, shape deviation, and dimpling. Finite element modelling (FEM), analysis of variance (ANOVA), and the response surface methodology (RSM) were used to investigate the effect of process parameters pertaining to the cushion dimensions and type of loading profile on the aforementioned defects. The results of this study indicate that the most significant process parameters were maximum cushion thickness, cushion cut-out base radius, and cushion cut-out profile radius. The type of loading profile was found to be insignificant in all responses, but further investigation is required as the rate, and the thermal effects were not considered in the material modelling. Optimal process parameters were found to be a maximum cushion thickness of 3.01 mm, cushion cut-out base radius of 2.37 mm, cushion cut-out profile radius of 10 mm, and a “linear” loading profile. This yielded 0.50 mm, 0.00515 mm, 0.425 mm for peak shape deviation, thickness variation, and wrinkling, respectively.