Al-Kindi Center for Research and Development (KCRD) (E-Journals)
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DeepSeek, Google Translate and Copilot’s Translation of Arabic Grammatical Terms Used Metaphorically
No full textArabic has unique linguistic phenomena, one of which is that some Arabic grammatical terms (AGTs) are used as fixed expressions and metaphors in daily speech, with no such phenomenon in English. A sample of 52 AGTs that are used as metaphors and fixed expressions in Standard and Colloquial Arabic was collected and translated by three AI tools: DeepSeek (DS), Google Translate (GT) and Microsoft Copilot (MC). The sample contains conjoined prepositions, particles, pronouns, verb to be, and others. Data analysis showed that the highest correct translations were rendered by MC (43%), followed by DS (29%), and the least by GT )23.5%(. DS, GT and MC gave identical (correct and incorrect) translations to 57% of the terms. They tended to translate word for word, which sometimes resulted in weird and funny equivalents as in بين بين between between, لعل وعسى perhaps and perhaps. Examples of terms translated correctly by MC only are الحكاية فيها ان there is something fishy, من إلى from A to Z; بفعل فاعل by an unknown person, حاشا وكلا absolutely not. An example of a term correctly translated by DS is بين بين in between. Examples of terms with identical translations by the three AI tools are كائنا من كان whoever it may be, داعش واخواتها ISIS and its sisters, الدول العربية مفعول به the Arab countries are the object. In الأردن المبتدأ ونحن الخبر Jordan is the subject, we are the predicate, المبتدأ & الخبر were mistranslated as they are polysemous, المبتدأ means subject and starting point, and الخبر means predicate and news. Specifically, the three AI tools have difficulties with polysemous AGTs and those with a cultural content as those used in titles of TV shows, those requiring a historical background (فيها ان) and those used as slogans. The percentage of correct translations rendered by AI herein is the lowest compared to medical and Gaza-Israel War terminology, zero-expressions and educational polysemes. Reasons for AI mistranslations, recommendations for raising students’ awareness of the weaknesses that AI has in translating AGT metaphors and suggestions for improvements are given
Proactive Security with AI: Revolutionizing Cloud Infrastructure Protection
No full textThe integration of artificial intelligence in cloud security represents a transformative shift in how organizations protect their digital infrastructure. AI-driven security automation has revolutionized threat detection, response mechanisms, and vulnerability management across enterprise environments. Organizations implementing these advanced systems have experienced significant improvements in threat detection capabilities, reduced response times, and enhanced operational efficiency. The combination of machine learning models, behavioral analytics, and automated response mechanisms has enabled proactive threat prevention and robust security posture maintenance. The evolution from reactive to proactive security management, coupled with sophisticated detection methods and immediate response capabilities, has fundamentally altered the landscape of enterprise cybersecurity
Intelligent Middleware for Digital Health and Biotech: A Technical Overview
No full textThe emergence of digital health twins represents a paradigm shift in healthcare delivery, offering transformative advances in personalized medicine through virtual patient modeling. Healthcare middleware systems integrate Electronic Health Records, genomic data, and IoT devices while maintaining regulatory compliance and security standards. The integration of artificial intelligence, federated learning, and blockchain technologies enables sophisticated clinical decision support, predictive analytics, and secure data sharing across healthcare networks. Advanced orchestration engines facilitate seamless communication between diverse healthcare systems, supporting real-time patient monitoring and adaptive clinical trials. By addressing technical challenges in data harmonization, system scalability, and privacy preservation, modern middleware architectures are revolutionizing healthcare delivery and patient outcomes
The Evolution of Claims Management and Policy Administration: Guidewire\u27s Role in Shaping the Insurance Industry
No full textThe insurance industry is undergoing a profound digital transformation with Guidewire leading innovative solutions that revolutionize claims management and policy administration. This transformation encompasses multiple technological dimensions including artificial intelligence integration for automated decision-making, IoT implementations for real-time data collection, multi-channel customer engagement strategies, low-code development environments, and blockchain with cloud-native architecture. Guidewire\u27s platforms enable insurers to enhance operational efficiency while simultaneously improving customer experiences through personalized interactions and faster service delivery. The shift from reactive claims processing to proactive risk management represents a fundamental evolution in how insurance products are developed, delivered, and maintained. Through these technological advancements, Guidewire is facilitating a new insurance paradigm where data-driven insights, automation, and enhanced security converge to create more responsive and efficient insurance operations that better serve the evolving needs of modern policyholders
Edge Computing and Cloud Synergy: Optimizing Distributed Deployments
No full textThis article explores the strategic integration of edge computing with cloud infrastructure to optimize distributed deployments in modern application architectures. As organizations increasingly adopt low-latency applications across industries, edge computing has emerged as a complementary paradigm to traditional cloud computing, enabling data processing closer to the source. The article examines the architectural principles of the edge-cloud continuum, highlighting hierarchical models that balance centralized coordination with distributed processing. It investigates container orchestration paradigms using lightweight Kubernetes distributions optimized for edge environments, detailing multi-cluster management strategies and intelligent workload placement techniques. The article further explores synchronization techniques that maintain consistency between edge and cloud components despite connectivity challenges, and presents performance optimization frameworks including distributed tracing, content caching, and autonomous operation capabilities. Throughout the discussion, the synergistic relationship between edge and cloud is emphasized as critical for building resilient, responsive, and scalable applications in today\u27s distributed computing landscape
Vendor Return Process for Indirect Materials in Extended Warehouse Management: Configuration and Implementation
No full textThe vendor return process in Extended Warehouse Management (EWM) presents significant challenges for supply chain operations, particularly for indirect materials. This article explores the configuration requirements and implementation strategies necessary for optimizing return workflows within EWM systems. Beginning with purchase order configuration and the critical role of confirmation control keys, the discussion progresses through inbound delivery creation, goods receipt processes, return categorization mechanisms, and post-receipt handling procedures. The examination of these interconnected components reveals how proper system configuration directly impacts inventory accuracy, processing efficiency, and financial outcomes. Through structured implementation approaches focusing on specific control points, organizations can achieve substantial improvements in return processing while reducing operational costs. The integration between EWM and inventory management systems emerges as a crucial factor in successful return management, with specialized reason codes and movement types serving as essential elements in the configuration framework
The Transformative Power of SAP AI Across Industries: A Technical Overview
No full textThis article examines the transformative impact of SAP\u27s artificial intelligence capabilities across multiple industries. Through a comprehensive technical analysis, we explore how SAP AI leverages its multi-layered architecture to address industry-specific challenges and deliver tailored intelligent applications. The research investigates SAP\u27s core technical infrastructure, built on the Business Technology Platform, which enables seamless integration with existing enterprise systems while providing sophisticated machine learning, natural language processing, and predictive analytics capabilities. We examine detailed implementations across retail, healthcare, manufacturing, finance, supply chain, energy, and agriculture sectors, highlighting how each industry benefits from specialized AI applications. In retail, recommendation engines and demand forecasting systems enhance customer experience and inventory management. Healthcare implementations focus on patient admission prediction and preventative care enhancement through clinical data analysis. Manufacturing applications include predictive maintenance solutions and AI-powered quality control systems. Financial implementations leverage graph neural networks for fraud detection and reinforcement learning for compliance and forecasting. Supply chain applications optimize routing and manage disruptions through digital twins, while energy sector implementations balance consumption and manage renewable resources. Agricultural solutions provide decision support through satellite imagery analysis and sophisticated yield prediction. The article concludes by examining the technical benefits of SAP AI implementations, emphasizing enterprise integration, scalability, continuous learning capabilities, security-by-design approaches, and technical interoperability that enables comprehensive digital transformation across diverse business environments
Enhancing Soft Skills in Schools of Engineering: The Application of the Experiential Learning Theory (ELCT)
No full textThis paper argues that the current ESP-oriented curriculum in engineering schools often neglects the development of soft skills, which leaves future engineers struggling to meet the growing demands of the modern job market. Despite increasing recognition of the importance of soft skills in the workplace, integrating these skills into ESP courses has received limited scholarly attention in the Moroccan context. Grounded in Kolb’s Experiential Learning Cycle Theory (1984), this study aims to fill this gap by critically examining the dynamics of soft skills integration in Moroccan engineering schools. The case study of Rabat School of Mines (RSM) known in French as Ecole Nationale Supérieure des Mines de Rabat (ENSMR), provides insights into how soft skills can be embedded into the engineering curriculum. Through a combination of survey questionnaires, interviews, and desk research, the findings highlight that incorporating soft skills into ESP courses not only enhances the effectiveness of language learning but also better prepares students for the workplace. The research further reveals that this integration plays a crucial role in equipping students with the language skills necessary for success in their respective professions. The study concludes that soft skills such as communication, teamwork, leadership, and time management are essential for engineering students in today’s globalized world. It emphasizes the need for language instructors to recognize and integrate these skills into their teaching practices, ensuring that students are not only linguistically proficient but also well-prepared for professional success
The Impact of Visual Devices on Enhancing Vocabulary
No full textThe purpose of this study is to explore the benefits of using visual devices in enhancing vocabulary. However, advanced technology and the digital era have made it significant to use contemporary visual devices to cope with some of the unfavorable effects of these developments. Therefore, this study focuses on the impact of visual devices on vocabulary enhancement and proposes new methods and innovative techniques to help Jazan University students acquire vocabulary easily. A questionnaire was administered for data collection, and the (SPSS) software was used for data analysis. The study sample was 50 ELT teachers at Jazan University. In addition, researchers\u27 observations, along with various studies, e-books, and offline/online materials, were explored and examined to propose new visual devices to bridge the gap between traditional learning aids and modern visual devices. Growing innovative visual devices will provide more opportunities for vocabulary learning. Digital-based visual devices are recommended for enhancing vocabulary. This paper contributes to pedagogy by introducing modern visual devices to improve vocabulary
Alternative Assessment in the English Department in Higher Education: Status and BA Students’ Perceptions
No full textAssessing students’ learning is a fundamental part of higher education (HE). It determines whether the goals of education are being met or not and it provides insights to teachers and learners about the most effective ways to improve and proceed. Research confirms that tests and examinations are the most employed tools of assessment in HE. Yet, these traditional assessment methods (TAM) have detrimental effects on instruction and students (Abera et al., 2017). Recent developments in societies have called for new alternatives in assessment that can respond to these changes. This paper, hence, aimed to study the status of alternative assessment (AA) in the new reform of Moroccan higher education (MHE) namely within the program of Bachelor of Arts (BA) by analyzing the BA accreditation document. Also, the study sought to find out AA methods and techniques BA professors use, and students’ perceptions of those methods. The findings suggest that AA are implicitly encouraged in the BA accreditation document, but there is a lack of clarity regarding their weight in students\u27 overall grades, as well as the tools and implementation methods. The study also revealed varied usage of AA methods. Students generally perceive alternative assessments positively