Arden University

The development of 3D printing has created an opportunity for educators to utilise such technology in teaching and learning. However, lack of training and other challenges can stop schools from using this technology effectively. This study presents an overview of current 3D printing technology usage in a makerspace at a school in Kuwait. Twenty-seven teachers participated in this study, primarily recruited and selected based on their prior experience using a 3D printing station in the makerspace. This paper is a case study that uses two data sources: observations and questionnaires. The integration of 3D printing is being analysed through the lens of the High Possibility Classrooms (HPC) model, providing a theoretical framework for the study. The results indicated that using 3D printing was effective for education, but there were specific areas that required improvement. Several insights emerged: 3D printing prepares students for the future, promotes student-centred learning, and accommodates various subjects and contexts. This study fills a gap in research, especially about Kuwaiti schools. Furthermore, the findings can inform administrators who are considering the adoption of 3D printing devices in their schools, providing valuable guidance for successful implementation to help students develop soft and engineering skills.

This study explores the effects of adopting an artificial intelligence (AI)-powered mobile money system (AI-MMS) on supply chain operations among small and medium-sized enterprises (SMEs) in the Global South. The authors developed a new version of Rogers’ Diffusion of Innovation model (DoI) that considers the geopolitical context and environmental factors, including regulatory framework, trust, risk and complexity, to help understand how AI-MMS can enhance transactional efficiency in SMEs and bridge the financial inclusion gap. Using qualitative methods, we conducted 40 semi-structured interviews with SME owners in Abuja, Lagos, Kaduna, Kano and Port Harcourt and found that AI-MMS enhanced their logistics knowledge, increased system trust and helped overcome fraud along their supply chains. We also found that new economic forces have emerged because of the successful diffusion of AI-MMS in Nigeria. Our study contributes to the emerging debate on how AI-human intelligence in mobile technologies reshapes the economy and geopolitical context in developing nations. The paper also contributes to the practices of AI-MMS and how it enhances supply chain and logistics learning for SMEs in Nigeria and other countries with a similar geopolitical context.

Acute Lymphoblastic Leukemia (ALL) is the most common pediatric cancer, requiring early detection to save lives and reduce the financial burden of advanced-stage treatment. While traditional diagnostic methods are time-consuming and resource-intensive, deep transfer learning offers a computationally efficient alternative for medical image classification. This study employed two widely recognized transfer learning algorithms, VGG-19 and EfficientNet-B3, to detect ALL using a publicly available dataset of 10,661 images from 118 patients. Data preprocessing included resizing, augmentation, and normalization. The models were trained for 100 epochs, with batch sizes of 30 for VGG-19 and 32 for EfficientNet-B3. Evaluation metrics such as accuracy, precision, recall, and F1 score were used to assess model performance. Statistical significance testing was performed using paired t-tests (p<0.05). Comparative analysis was performed with existing studies to validate the findings. EfficientNet-B3 significantly outperformed VGG-19, achieving an average accuracy of 96% compared to 80% for VGG-19 (p<0.001). EfficientNet-B3 demonstrated superior performance in handling class imbalance, with the minority class (Hem) achieving precision, recall, and F1 scores of 97%, 89%, and 93%, respectively. VGG-19 struggled with the minority class, achieving lower recall (51%) and F1 score (62%). However, dataset limitations including single-source origin may affect generalizability. This study highlights the effectiveness of EfficientNet-B3 as a reliable tool for early ALL detection, offering high accuracy and computational efficiency. Clinical implementation requires addressing computational constraints and integration challenges. Future research could integrate multimodal datasets to identify risk factors and further improve diagnostic accuracy.

The European Resuscitation Council (ERC) and the European Society of Intensive Care Medicine (ESICM) have collaborated to produce these post-resuscitation care guidelines for adults, which are based on the International Consensus on Cardiopulmonary Resuscitation Science with Treatment Recommendations (CoSTR) pubished by the International Liaison Committee on Resuscitation (ILCOR). The topics covered include the post-cardiac arrest syndrome, diagnosis of cause of cardiac arrest, control of oxygenation and ventilation, coronary reperfusion, haemodynamic monitoring and management, control of seizures, temperature control, general intensive care management, prognostication, long-term outcome, rehabilitation, and organ donation. The post-resuscitation care of children is described in the ERC guidelines 2025 Paediatric Life Support.

Purpose : This research explored the factors prompting the diffusion of predictive analytics (PA) in international e-fashion companies. A typology of motives, advantages, and diffusion challenges was provided, and recommendations on overcoming them were suggested to PA executives. Methodology : Based on integrating the technology – organization – environment (TOE) perspectives into the steps of diffusion of innovation (DOI) theory, a new systemic framework was developed to explain the process of diffusing PA in e-fashion and to help design interactive, innovative marketing strategies that enhanced the customer experience in such an international e-commerce industry. This study adopted an interpretative approach by conducting 20 semi-structured interviews with e-commerce analytics leaders in the top 10 fashion companies between 2020 and the end of 2024. Findings : The findings referred to a range of motives based on intention to use, market niche, and informational, transactional, and transformational values provided by the companies. The challenges emphasized by the participants were complexity, organizational readiness, compatibility, management support, observability, privacy and security, external support, trialability, competitive pressure, and government regulations. Practical Implications : The study offered guidelines for PAs on how to set the right questions, frame their dataset, and set the right interactive, innovative strategy for customers. Originality : A dynamic framework of PA diffusion was provided to reflect the “Linear vs. Cyclical Process,” “Static Factors vs. Dynamic Processes,” “Inclusion of Post-Adoption Benefits,” “Nuanced Understanding of Management Support,” and “Specification of Key Challenges and Pathways.”

The study investigated the effect of work stress on employee performance of Christian faith-based university in Nigeria. Descriptive survey research design was adopted using a structured questionnaire with a total reliability coefficient of 0.759. Primary data were obtained from 143 respondents, through census sampling technique. The data obtained were descriptively analysed and interpreted, while the hypotheses of the study were tested using chi-square, ANOVA, and multiple linear regression analysis, at 0.05 level of significance. Pressure of work overload had a strong association with employee performance as affirmed by a mean rating of 3.77 (M =3.77, SD = 0.7395) and was significant (χ2 = 42.182, p&lt;. 05). Also, the significant effect of pressure of work overload on employee performance was confirmed at the 5% level of significance (B = 0.966, t = -3.348, p = 0.001, p&lt; .05). Similarly, role conflict influenced employee performance to a high extent, as affirmed by a grand mean rating of 4.02 (M =4.02, SD = 0.5412), and was significant (χ2 = 114.727, p&lt;0. 05). The null hypothesis was rejected at the 5% level of significance and concluded that role conflict significantly influenced academic employees’ performance in the university (B = 1.387, t = 7.181, p = 0.000, p&lt; 0.05). Consequently, the study concluded that work stress dimensions (pressure of work load and role conflict) significantly influenced employee performance of Christian faith-based university in Nigeria.

Abstract When Ulysses S. Grant succumbed to cancer on July 23, 1885, the nation mourned the loss of one of its greatest generals and the first president to enforce the civil rights of African Americans. As scholars are increasingly recognizing, many Republicans remained committed to the protection of Black suffrage as late as 1890, but in exploring the reaction to Grant’s death, Civil War memory scholars have overlooked the importance of memories of Grant’s presidency. Through an examination of newspapers and biographies in the months after Grant’s death and the immediate years thereafter, up to 1890, this article demonstrates that Americans of all political stripes used their memories of Grant’s presidency to aid their long-term political goals of either restricting or promoting Black civil rights. Democrats and reform-minded Republicans tried to denigrate Grant’s administration for supposed corruption while still applauding his magnanimity at Appomattox. In contrast, their Republican opponents, Black and white, contested this memory by constructing a politically purposeful memory of Grant’s Reconstruction-era politics as part of their ongoing fight to enforce Black voting rights and by extension secure the fruits of Union military victory. In doing so, Americans demonstrated that they remained unreconciled and divided on both the battlefields of Civil War memory and Reconstruction.