19200 research outputs found
Sort by
Algorithmic Optimisation in Cloud Robotics:A Systematic Review of Implementation Barriers and Performance Gains
Get PDFThis study conducts a systematic analysis of algorithmic optimisation approaches in cloud robotics systems, examining both performance gains and implementation barriers. Drawing from publicly available datasets from IEEE Dataport, Kaggle, and seminal reviews in the field, we analyze performance across five key metrics: task completion time, resource utilization, energy efficiency, failure rate, and adaptation time. Our findings reveal that hybrid cloud-edge architectures consistently outperform other approaches, achieving up to 67% improvement in task completion time and 73% in energy efficiency compared to conventional methods. However, implementation barriers—particularly system interoperability and network latency issues—significantly constrain the realization of these theoretical gains in practical deployments. We develop an integrated implementation framework that aligns algorithmic selection with contextual requirements and provides staged adoption pathways to maximize real-world benefits while minimizing implementation risks. This research bridges the gap between theoretical optimization models and practical deployment considerations, offering actionable guidance for cloud robotics implementer
CIRA-Cyber Intelligent Risk Assessment Methodology for Industrial Internet of Things based on Machine Learning
No full textGenerative AI Foundations, Developments, and Applications
No full textIn recent years, the field of generative artificial intelligence (AI) has witnessed remarkable advancements, transforming various domains from art and music to language and healthcare. Advanced techniques, such as conditional generation, style transfer, and unsupervised learning, showcase the cutting-edge research shaping the field. The ability of generative AI models to create novel content autonomously has sparked immense interest and innovation. Future directions provide speculations for potential breakthroughs, challenges, and opportunities for further research and innovation.Generative AI Foundations, Developments, and Applications serves as a resource to understanding generative AI across various domains including natural language processing, computer vision, and drug discovery. It explores the theoretical foundations, latest developments, and practical applications of generative AI. Covering topics such as prompt engineering, multimodal data fusion, and natural language processing, this book is an excellent resource for computer scientists, computer engineers, practitioners, professionals, researchers, scholars, academicians, and more.Coverage:The many academic areas covered in this publication include, but are not limited to:Advanced Optimization TechniquesCommunication SkillsCrop Health MonitoringData AugmentationDeep Convolutional Generative Adversarial Networks (DCGANs)First-Year Medical and Dental StudentsGenerative Artificial Intelligence (GAI)Insurance IndustryMachine VisionMulti/Hyperspectral ImagingMultimodal Data FusionNarrative MachinesNatural Language Processing (NLP)Prompt EngineeringRetrieval Augmented Generation (RAG) PipelineUnsupervised Learnin
The negative aspect of trauma: a case study exploring the semiological overlap with fearful attachment and core CPTSD symptoms
No full textThis study illustrates the complex relationships between the negative effects of trauma, attachment patterns, and the symptomatic expressions associated with trauma-related diagnoses (PTSD and CPTSD). The patient’s psychological processes were explored through a clinical semi-structured interview (Adult Attachment Interview) and self-administered questionnaires, including the Relationship Scales Questionnaire (RSQ), the Parental Bonding Instrument (PBI), and the PTSD Checklist Scale (PCLS). Although the patient does not meet diagnostic criteria for PTSD or CPTSD, she exhibits signs related to the negative aspect of trauma as well as a fearful attachment pattern. The expression of the negative aspect of trauma shows some overlap with the fearful attachment pattern and certain core symptoms of CPTSD, while retaining distinct clinical features. This case study offers a detailed examination of how attachment and trauma-informed assessment can deepen our understanding of psychological trauma in a woman with migratory backgrounds who experienced sexual violence. Convergence between negative aspect of trauma, fearful attachment patterns, and core symptoms of CPTSD suggests not merely a correlation, but a deeper structural connection between attachment disturbances and complex trauma. Future research should investigate how integrating the negative aspects of trauma within attachment-informed and psychodynamic frameworks can enhance therapeutic engagement and outcomes in trauma-affected populations
Project Management Capability and Resistance in Cloud Transformation: Configurational Evidence from African E-Commerce
Get PDFThis paper investigates resistance patterns in cloud-based digital transformation within African e-commerce contexts, examining how project management capabilities moderate the relationship between infrastructural constraints and transformation outcomes. Through a mixed-methods study of 180 organisations across eight African countries, we employ fuzzy-set qualitative comparative analysis (fsQCA), necessary condition analysis (NCA), and polynomial regression to identify multiple pathways to transformation success and failure. Our findings reveal that resistance emerges through five distinct configurations, with project management capabilities serving as a critical moderating factor. We identify a ‘capability paradox’ where organisations with moderate project management maturity experience higher resistance than those with either low or high maturity, suggesting non-linear relationships between capabilities and outcomes. The study contributes to the digital transformation literature by developing a contextually grounded resistance framework that accounts for infrastructure volatility, institutional voids, and the unique characteristics of African e-commerce ecosystems. We propose the concept of ‘adaptive resistance’ as a functional response to resource constraints, challenging assumptions that resistance purely represents opposition to change. Practical implications include the need for hybrid project management approaches that balance structure with flexibility and policy recommendations for infrastructure investment prioritisation
OSSAPTestingPlus: A Blockchain-Based Collaborative Framework for Enhancing Trust and Integrity in Distributed Agile Testing of Archaeological Photogrammetry Open-Source Software
Get PDF(1) Background: A blockchain-based framework for distributed agile Open-Source Software for Archaeological Photogrammetry (OSSAP) testing life cycle is an innovative approach that uses blockchain technology to optimize the Open-Source Software for Archaeological Photogrammetry process. Previously, various methods have been employed to address communication and collaboration challenges in Open-Source Software for Archaeological Photogrammetry, but they were inadequate in aspects such as trust, traceability, and security. Additionally, a significant cause of project failure was the non-completion of unit testing by developers, leading to delayed testing. (2) Methods: This article discusses the integration of blockchain technology in Open-Source Software for Archaeological Photogrammetry and resolves critical concerns related to transparency, trust, coordination, testing and communication. A novel approach is proposed based on a blockchain framework named Open-Source Software for Archaeological Photogrammetry Testing-Plus. (3) Results: The Open-Source Software for Archaeological Photogrammetry Testing-Plus framework utilizes blockchain technology to provide a secure and transparent platform for acceptance testing and payment verification. Moreover, by leveraging smart contracts on a private Ethereum blockchain, Open-Source Software for Archaeological Photogrammetry Testing-Plus ensures that both the testing team and the development team are working towards a common goal and are compensated fairly for their contributions. (4) Conclusions: The experimental results conclusively show that this innovative approach substantially improves transparency, trust, coordination, testing and communication and provides security for both the testing team and the development team engaged in the distributed agile Open-Source Software for Archaeological Photogrammetry (Open-Source Software for Archaeological Photogrammetry) testing life cycle
Evaluating the Efficacy of Amanda: A Voice-Based Large Language Model Chatbot for Relationship Challenges
No full textDigital health interventions are increasingly necessary to bridge gaps in mental health care, providing scalable and accessible solutions to address unmet needs. Relationship challenges, a significant driver of individual well-being and distress, are often under-supported due to barriers such as stigma, cost, and limited access to trained therapists. This study evaluates Amanda, a GPT-4-powered voice-based chatbot, designed to deliver single-session relationship support and enhance therapeutic engagement through natural and collaborative interactions. Participants (N = 54) completed a range of clinical outcome measures and their attitudes toward chatbots and digital health interventions pre- and post-intervention as well as two weeks later. In the interactions with the chatbot, the participants explored a range of relational issues and reported significant improvements in problem-specific outcomes, including reduced distress, enhanced communication, and greater confidence in managing conflicts directly after the interaction as well as two weeks later. While generic relationship outcomes showed only delayed improvements, individual well-being did not significantly change. Participants rated Amanda highly on usability, therapeutic skills, and working alliance, with reduced repetitiveness compared to the text-based version. These findings underscore the potential of voice-based chatbots to deliver accessible and effective relationship support. Future research should explore multi-session formats, clinical populations, and comparisons with other large language models to refine and expand AI-powered interventions
Developing Pre-Service Teachers’ Pedagogical Content Knowledge for Reading for Pleasure: What Is Missing? What Next?
No full textAbstract: Across the UK, Reading for Pleasure (RfP) is included in national curricula, yetchildren’s engagement as readers appears to be declining. Equipping pre-service teacherswith the knowledge to develop RfP pedagogy in their classrooms is vital. Previous studieshave identified knowledge of diverse children’s literature as central to RfP pedagogy.However, data indicate that teachers and pre-service teachers rely on a narrow childhoodcanon. Furthermore, in initial teacher training (ITT), developing teachers’ knowledge ofchildren’s literature may be limited to an optional specialism. This study offers a startingpoint for ITT provision that develops pedagogical content knowledge for RfP. A total of595 pre-service teachers’ questionnaire responses from 10 UK universities are reportedabout their expectations of RfP pedagogy and knowledge of children’s literature. Datashowed their limited knowledge of children’s authors and illustrators and highlightedstriking gaps in their understanding of RfP pedagogy with little difference between studentteachers who read regularly or those who rarely read in their free time. Recommendationsfor new initiatives to address identified gaps in pre-service teachers’ pedagogical contentknowledge for RfP are discussed