Social research and statistics Books

Book SynopsisThis book advocates for community-based research with vulnerable populations within the field of higher education. The chapters outline how research can democratize knowledge generation to make it more accessible and socially relevant, and emphasizes the value of the lived and experiential knowledge of vulnerable and marginalized populations. Rooted in a critique of the current practices of higher education that fail to support participatory and transformative research, the research is structured at micro, macro and meso levels to ultimately emancipate colonized thinking of stakeholders about power, privilege and participation. Focusing primarily on various contexts within the Global South, the contributors argue that the time is ripe for community-based research which combines the theoretical knowledge of the academy with the local, experiential knowledge of those experiencing the consequences of social inequality to co-construct knowledge for change.Table of ContentsPart 1: Community-based Research in Higher EducationChapter 1: Community-based Research in Higher Education: Research Partnerships for the Common Good, Lesley Wood and Ortrun Zuber-SkerrittChapter 2: Rethinking Ethical Processes for Community-based Research Partnerships: Lessons from Practice, Mary Brydon-Miller and Lesley WoodChapter 3: Building Capacity for Community-based Research, Lesley WoodPart 2: Case Studies of Partnership for Community-based Research with Vulnerable PopulationsChapter 4: Developing and Sustaining Community-University Partnerships: Reflecting on Relationship Building, Heloise Sathorar and Deirdre GeduldChapter 5: Community-based Research to Enhance Holistic Wellbeing in School Contexts, Ansie Elizabeth Kitching and Robert Tubb CarstensChapter 6: Developing Relationship for Community-based Research at Rhodes University: Values, Principles and Challenges, Diana Hornby and Savathrie MaistryChapter 7: A Community-based Approach to Engaging Older Adults in the Promotion of their Health and Wellbeing Through Social Dance, Orfhlaith Ni Bhriain and Amanda CliffordChapter 8: Community-based Research for Peace: A Case Study in Colombia, Doris SantosChapter 9: An Appreciative Inquiry Approach to Community-based Research for Development of a Social Enterprise, Karen Venter and Alfi MoolmanChapter 10: "University Mtaani”: A Case Study of Service Learning and Civic Engagement for Social Transformation in Nairobi’s Informal Settlements, Nkatha Mercy and Jonas Yawovi DzinekouChapter 11: The Importance of Access, Time and Space: Developing the Collective Change Facilitator Role as Part of a Multi-Partner Research Programme, Sara Branch, Kate Freiberg, Ross Homel and Charmaine StubbsPart 3: A Framework for Conducting Ethical, Inclusive and Sustainable Community-based ResearchChapter 12: Towards Holistic and Community-led Development: The GULL System for Self-Directed Lifelong Action Learning, Richard TeareChapter 13: Community-based Research with Marginalized Populations as Transformative Adult Education, Lesley WoodChapter 14: An Ethical, Inclusive and Sustainable Framework for Community-based Research in Higher Education, Lesley Wood

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Book SynopsisThis open access book proposes a conceptual framework for understanding measurement across a broad range of scientific fields and areas of application, such as physics, engineering, education, and psychology. It addresses contemporary issues and controversies within measurement in light of the framework, including operationalism, definitional uncertainty, and the relations between measurement and computation, and describes how the framework, operating as a shared concept system, supports understanding measurement’s work in different domains, using examples in the physical and human sciences.This revised and expanded second edition features a new analysis of the analogies and the differences between the error/uncertainty-related approach adopted in physical measurement and the validity-related approach adopted in psychosocial measurement. In addition, it provides a better analysis and presentation of measurement scales, in particular about their relations with quantity units, and introduces the measurand identification/definition as a part of the "Hexagon Framework" along with new examples from the physical and psychosocial sciences. Researchers and academics across a wide range of disciplines including biological, physical, social, and behavioral scientists, as well as specialists in measurement and philosophy appreciate the work’s fresh and provocative approach to the field at a time when sound measurements of complex scientific systems are increasingly essential to solving critical global problems.Table of ContentsIntroduction.- Fundamental Concepts in Measurement.- Technical and Cultural Contexts for Measurement Systems.- Philosophical Perspectives on Measurement.- What is Measured?.- Values, Scales, and the Existence of Properties.- Modeling Measurement and Its Quality.- Conclusion.

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Book SynopsisChapter 1. Populations, Samples, Parameters, and Statistics.- Chapter 2. Some Probability Concepts.- Chapter 3. Estimation, Hypothesis Testing and the Scientific Method.- Chapter 4. Binary Random Variables and Acceptance Sampling Plans.- Chapter 5. Continuous Variables, the Normal Distribution, and the Central Limit Theorem.- Chapter 6. Continuous Variables and Acceptance Sampling Plans.- Chapter 7. Confidence.- Chapter 8. Some Confidence Interval Computations, Including Bootstrapping.- Chapter 9. Linear Regression, Correlation, and Least Squares.- Chapter 10. Analysis of Variance.- Chapter 11. Poisson and Exponential Variables, Rate, and Time-to-Event.- Chapter 12. 2k Factorial Experiments.- Chapter 13. Nonparametric Methods Rank-Based Tests, Permutation Tests and Resampling Methods.- Chapter 14. Nonlinear and Logistic Regression.- Chapter 15. Model Building.- Chapter 16. Multivariate Analysis.- Chapter 17. Bayesian Methods Markov Chain Montel Carlo Approach.- Chapter 18. Machine Learning and Data-Intensive Methods.- Chapter 19. Time Series and Dynamic Systems.- Index.

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Book Synopsis- 1. Introduction.- 2. Network Science: concepts and definitions.- 3. Network Metrics.- 4. Theoretical models of networks.- 5.Statistical social network models.

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Book Synopsis.- Making Talents and Leadership Ready for the AI and Digital Era:Challenges and Directions for Higher Education..- SLAM with Multimodal Sensor Integration in Autonomous Robotics:A Case Study Using RPLIDAR, Monocular Camera, IMU and Encoder..- Occupational Accidents Prediction in Brazil: An Approach Using Regression Machine Learning Algorithms..- An Optimization Pipeline for Access Role Identification and Attribution..- AFramework for Prostate Cancer Diagnosis: Can AI Improve ClinicalWorkflows?..- Synergistic Alpha-Led Force-Driven Gradient to Address Urgency and Reliability in Swarm Intelligence Path-Planning..- Toward Air Quality Fuzzy Classification: Measuring the Performance of Fuzzy Logic Methods for Air Quality Classification..- Knowledge-Based Approaches for Sub-Saharan African Health Systems:Case of @san in Burkina Faso..- Gyroscope-Driven Virtual Replication: Enhancing Human Movement Analysis..- Using Agentic LLM Architecture to Align Human and AI Decisions..- Real-Time Handgun Detection Using YOLO and a Custom Videogame Dataset..- Generation of Cardiac CT Images with and without Contrast Using a Cycle-Consistent Adversarial Networks with Diffusion..- AI-Driven Hydrocyclone Condition Monitoring: Conceptual Prototype..- Managing the ELLAS International Research Project on Information Systems Development..- Microservices versus Monoliths: Identifying Challenges and Proposing Practical Recommendations..- AI-Based Recovery of High-Level Models in the Context of Reverse Engineering of C++ to UML..- Enhancing Carbon Emission Decisions in Livestock with CarbonSECO’s Service Suite..- Information Systems Perspectives on Digitally Supported Design for Sustainability and Life-Cycle Cost Calculations..- Machine Learning Techniques in Predicting Employee Turnover Intention..- Misinformation Warriors: Leveraging Staff to Combat Inaccurate Information in an Australian Health Organisation..- Evolution of a Usability and UX Questionnaire for Touchable Holography from Validation Studies with Experts and End-Users.

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Book Synopsis.- Design and Software Engineering Experience Report: Designing and Implementing Data Registration via File Import in an Administrative e-Commerce System..- A Comparative Analysis of the Interactive Web Maps (IWM) and Nielsen Sets..- Driving the Emergence of Self-Managed Enterprises of Crowdworkers: A Survey and Review of Motivating Factors..- Person-Dependent Mental Fatigue Assessment Based on Operator Vital Signs and Head State..- Enhancing Logistics with Data-Driven Process Analysis and Knowledge-Based Methods..- A Novel Approach to Reduce the Financial and Computational Costs of Similarity Queries over Document Collections in NoSQL Databases..- Designing a Stablecoin Service Tailored for Cross-Chain Transactions..- Enabling Value Chain Interoperability: Integrating and Evaluating Robust Data Governance Aspects into the Asset Administration Shell..- Approaches to the Vehicle Routing Problem Using Heuristics and Ensemble Methods..- Enriching ETL with Provenance Data..- A BiLSTM Approach to Outfit Compatibility and Image Similarity..- Blockchain-Powered Offloading: Smart Contracts for Transparent and Secure Operations in Oil and Gas Sector..- A Clustering-Driven Performance Analysis Webapp for Sports and Activity Data..- NoSQLconcepts: A Digital Teaching Platform for (No)SQL Databases..- Data Symbion EI: Expanding Horizons with Deep Learning and Model Sharing..- Conformance Checking with Time Attributes..- A Practical Approach to Evaluate Operational Business-IT Alignment.

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Book Synopsis.- Digital Governance and Public Policy..- Digital transformation in the public sector: Unlocking trends, opportunities and governance insights..- In search of the nature of the relationship between digitalization and economic growth: An approach to the case of African countries..- Governance and digitalization: Exploring the impact of e-government development on sustainability metrics..- Enhancing governance: How secure internet servers drive anti-corruption and strengthen government effectiveness..- Cross-Domain AI Innovations: From Autonomous Systems to Health and Finance..- Cost-efficient AI for Alzheimer’s detection: A dynamic dropout approach for e-health..- Mental health resource retrieval using semantic similarity and knowledge graphs..- Enhancing financial sentiment analysis with FinBERT and RoBERTa: A fine-grained approach to market predictions..- Comparative analysis of reinforcement learning algorithms for autonomous driving in simulated 2D environments: Optimizing reward functions and hyperparameters..- Social Media, Responsibility and Digital Leadership..- Exploring travelers’ brand personalities on social media..- Should credit applications always be humanized? An analysis of the Moroccan credit market..- Social responsibility and its relationship with innovation and technology in SMEs in Arequipa, Peru..- Digital leadership and its link to digital performance in MSME employees in Arequipa, Peru: The mediating effect of human resource management and dynamic capabilities..- Informal Markets and Platform Economies..- Value creation in marketplace platforms: A business model approach..- Digital technologies and informal market transactions: Who buys and what drives their choices?..- Mapping carpooling research: A bibliometric insight..- Shadow economies in the digital age: A LASSO approach to measuring the impact of digitalization on informality in central and eastern European countries..- AI-Driven Insights and Next-Gen Marketing Analytics..- Neuromarketing implications on purchase decisions: A bibliometric analysis..- The globalization of online fandom: Understanding ACG fans’ motivations in the entertainment market..- Using generative AI in communication agencies: Insights from a multiple-case study..- Mirror, mirror… Am I the fairest of them all? Smart mirror between frustration and pleasure..- Digital Transformation in Finance: Taxation, Payment Resilience, and E-Finance Trends..- Digitizing taxation in the age of digital transformation - A bibliometric analysis..- The resilience of cash in the face of digital payments: Exploring determinants in the Moroccan context..- Mapping the intellectual landscape of e-finance in the era of digital economy and society..- Pegged digital currencies: How resilient are they in economic turmoil..- Trust, Privacy and Security in the Digital Economy..- Building trust in data spaces: A systematic review of perspectives, definitions, and mechanisms..- Balancing privacy and utility in social media: A framework for platform specific privacy-enhancing technologies and regulations..- A method for visualizing the dynamic characteristics of economic time series data..- Measuring LLMs cultural bias in corruption inclination..- Smart Infrastructure and AI Readiness..- Measuring AI adoption readiness in the digital era: A composite index approach with PLS and PCA..- Need for speed, or for digital skills? Broadband development and firm dynamics in Germany..- Implementing smart public spaces in developing countries- Challenges and opportunities: Case study of Tunisia.

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Book SynopsisThe Black Box of Computational Imaging.- Algorithmic Mediascapes.- Algorithms and the Arts.- Cultural Critique of Algorithmic Media.- Posthuman/Non-Human Imagery.

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Book SynopsisDas von Ulrich Oevermann begründete Verfahren der Objektiven Hermeneutik stößt vor allem in den Sozial- und Erziehungswissenschaften auf breites Interesse. Die zentrale methodologische Idee der Objektiven Hermeneutik besteht darin, die Rekonstruktion der Sinnstrukturen der sozialen Wirklichkeit methodisch an textliche Protokolle dieser Wirklichkeit zurückzubinden. So wird der Text zum Gegenstand einer empirisch-hermeneutischen, wirklichkeitswissenschaftlichen Sinnrekonstruktion. Dieses Buch bietet eine Einführung in das interpretatorische Vorgehen der Objektiven Hermeneutik. Zu Beginn werden die methodologischen Grundannahmen der Objektiven Hermeneutik vorgestellt. Im Zentrum stehen dann aber die methodischen Kernoperationen des Verfahrens. Diese werden an Beispielen vorgestellt und erläutert. Der Leser erhält damit einen Einblick in die interpretatorische Praxis dieser Methode und zugleich Anregungen für die eigene Forschungspraxis.Table of ContentsMethodologische Stichworte - Die Prinzipien der objektiv-hermeneutischen Textinterpretation - Geschichten - Lesarten - Fallstrukturhypothese - Eine Fallrekonstruktion am Beispiel eines Lehrerinterviews - Zur schnellen Orientierung

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Book SynopsisQualitative Forschung und ihre Methoden sind ein wichtiger Zugang im Rahmen psychologischer Erkenntnissuche. Während qualitative Herangehensweisen in benachbarten Wissenschaftsfeldern zum Standardrepertoire gehören, ist diese Tradition in der Psychologie über Jahrzehnte vernachlässigt worden. Die Erstauflage aus dem Jahr 2010 hat eine Wende eingeleitet. Die Neuauflage mit 70 Beiträgen erscheint in zwei Bänden und steht für die Etablierung und Weiterentwicklung einer qualitativen Psychologie. In Band I werden zentrale Positionen vorgestellt, die eine theoretische Fundierung für qualitative Forschung in der Psychologie bieten. Im Anschluss wird eine Vielzahl an Anwendungsfeldern und subdisziplinären Arbeitsgebieten behandelt.Table of ContentsPositionen und Traditionen – Theoretische und methodologische Grundlagen.- Anwendungsfelder und subdisziplinäre Arbeitsgebiete.

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Book SynopsisThis short monograph provides a synthesis of new research on sampling designs that are dependent on sample moments or the order statistics of auxiliary variables. The range of survey sampling methods and their applications has gradually increased over time, and these applications have led to new theoretical solutions that provide better sampling designs or estimators. Recently, several important properties of sampling designs have been discovered, and many new methods have been published. Offering an overview of these developments, this book describes sampling designs dependent on the sample generalized variance of auxiliary variables, examines properties of sampling designs proportional to functions of sample order statistics of the auxiliary variable, and takes into account continuous sampling designs. The text will be useful for students and statisticians whose work involves survey sampling, and it will inspire those looking for new sampling designs dependent on auxiliary variables. Table of ContentsIntroduction and Basic Sampling Strategies.- Sampling Designs Dependent on Sample Moments of Auxiliary Variables.- Sampling Designs Based on Order Statistics of Auxiliary Variable.- Simulation Analysis of the Efficiency of the Strategies.- Sampling Designs dependent on a Continuous Auxiliary Variable.

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Book SynopsisThe rapid growth of Complementary and Alternative Medicine (CAM) demands that the public, the medical world, social scientists, the media, and governments pay attention. People are questioning the limits of what modern medicine can accomplish and seeking additional ways to manage their health. While many are enthusiastically adopting complementary and alternative forms of medicine, others are more sceptical. Physicians' attitudes are in transition, and governments are pondering where this increasingly important phenomenon fits into the health care system. The challenge is to keep pace with the changing ways that people view health and illness, take reposibility for themselves, and incorporate CAM into their health care. This text brings together for the first time a wide range of leading North American and European social scientists to identify who uses CAM, why they use it, and how they find out about it. Presenting research from psychology, sociology, anthropology and public health, they alert us to the current context of CAM use and provide new models and techniques for understanding its future place in health care.Table of ContentsPreface: The Challenge of CAM; Introduction; Conceptions of the Body and CAM; The Fitness Movement and the Use of CAM; The Psychology of the Use of CAM; The Therapeutic Relationship and the Use of CAM; Psychosocial Determinants of CAM Utilisation; Changes in Characteristics of CAM Users Over Time; The Diffusion of CAM; Partners in Illness: Who helps You When You are Sick?; Investigating Symbolic, Experimental and Social Realities; Assessing the Evidence Base for CAM; Rethinking Models of Illness Behaviour; Medical Pluralism and the Re-emergence of CAM; Professionalisation, Politics and CAM; Strategies for Future Research

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Book SynopsisRecent years in North America have seen a rapid development in the area of crime analysis and mapping using Geographic Information Systems (GIS) technology. In 1996, the US National Institute of Justice (NIJ) established the crime mapping research center (CMRC), to promote research, evaluation, development, and dissemination of GIS technology. The long-term goal is to develop a fully functional Crime Analysis System (CAS) with standardized data collection and reporting mechanisms, tools for spatial and temporal analysis, visualization of data and much more. Among the drawbacks of current crime analysis systems is their lack of tools for spatial analysis. For this reason, spatial analysts should research which current analysis techniques (or variations of such techniques) that have been already successfully applied to other areas (e.g., epidemiology, location-allocation analysis, etc.) can also be employed to the spatial analysis of crime data. This book presents a few of those cases.Table of ContentsFrom the Contents: Spatial Heterogeneity in Crime Analysis.- When Does a Drug Market Become a Drug Market? Finding the Boundaries of Illicit Event Concentrations.- Convicted Sex Offender Residential Movements.- Street-Level Spatiotemporal Crime Analysis: Examples from Bronx County, NY (2006–2010).- Exploring Spatial Patterns of Crime Using Non-Hierarchical Cluster Analysis.- Reconstitution of the Journeys to Crime and Location of their Origin in the Context of a Crime Series. A Raster Solution for a Real Case Study.- Journey-to-Crime by Gender and Age Group in Manchester, England.- Crime Scene Locations in Criminal Homicides: A Spatial Crime Analysis in a GIS Environment.

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Book Synopsis.- ACL:Adaptive Chunking of Large Language Models for Efficient Inference on Automotive Edge Devices..- The Evaluation of Parameter-agnostic Unlearning Mechanisms on Prevailing Large Language Models..- Node Centrality Approximation in Complex Networks via Inductive Graph Neural Networks..- Carbon Market Price Prediction Method Based on Multi-feature Fusion and Deep Learning..- MMtuning: An Advanced Multi-Adapter Framework for Efficient Multimodal Large Language Models Fine-Tuning..- Multi-Sensor Fusion Framework for HAR: Integrating Time-Frequency Features and Self-Supervised Learning..- Deep Reinforcement Learning-Based Client Selection and Secure Aggregation for Federated Learning..- DynamicFedPEFT: Efficient fine-tuning of dynamic federated parameters for large language models..- Dynamic, Multi-Scale, and Noise-Aware Modeling for Skeleton Action Prediction..- Adaptive Retrieval Enhancement for Open-Domain Question Answering..- Privacy-Preserving Exact Closest Vertex Queries on Encrypted Attributed Knowledge Graphs..- Text Attributed Graph Node Classification Using Sheaf Neural Networks and Large Language Models..- TIEBN: An Eigenvalue-Driven Blockchain Network for Anomaly Detection..- Enhanced Knowledge Tracing via Imputing Knowledge States..- Resisting Catastrophic Recall: Persistent Unlearning via Knowledge Distillation with Feature Suppression..- Enhancing Legal Judgment Prediction in LLMs via Legal Norms Integration..- Geo-DETR: Geographical Map Detection Based on Multi-Stage Gradient Feature Fusion..- FATFI: A Framework to Generate Adversarial Traffic with Feature Interpretability..- Enhancing Multi-Source Localization via Tailored Feature Representation Framework..- FedMP: A Multi-Prototype Heterogeneous Federated Learning Framework..- CGM: Intrusion Detection Based on a Multi-Head Attention Optimization Model..- FusionMIA: Enhancing Membership Inference Attacks with Spy Clients and Shadow Models in Federated Learning..- DynaKiteQuery: Top-k Closest-Vertex Queries on Dynamic Attributed Knowledge Graphs..- Evaluating LLMs for Multi-label Text Classification..- Generating Feedback for School Students Essay with Large Language Models..- Dynamic Asymmetric Contrastive Learning with Adaptive Hard Negative Mining for Resume-Job Matching..- TRIAD: A Tool-Responsive Instruction-Aligned framework for domain-specific problem solving..- Verifiable fine-grained federated unlearning..- MCC: Multi-level Feature and Context-aware Attention Mechanism with Consistent Distributions for Recipe Retrieval..- Heuristic Ant Colony enabled Federataed UAV Circuit Inspection Planning Algorithm Considering Adaptive Weather..- Context-aware Spatiotemporal Graph Attention Network for Next POI Recommendation..- From Thinking to Output: Chain-of-Thought and Text Generation Characteristics in Reasoning Language Models.

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Book Synopsis.- INDRE: An Interpretable News Driven Risk Evaluation Model..- Efficient Transductive Few-Shot Learning with Active Learning for Imbalanced Data..- Parallel FHE-Based Neural Network Inference with Knowledge Distillation for Efficient Privacy-Preserving Image Classification..- MatSciES: Automated Knowledge Extraction and Summarization from Materials Science Literature with Large Language Models..- A Robust Video Steganography Method Based on Multi-Scale Decomposition and Invertible Networks..- IR-SDTNet: an infrared small target detection network based on denoising enhancement..- Blockchain-Enhanced Copyright Protection for Fashion Industry: A DBAE-Net Based and Traceable Image Similarity Detection Scheme..- Mixture of Experts Enhanced Heterogeneous Graph Transformer..- CertBA: a Decentralized Authentication Scheme via Blockchain and Dynamic Cryptographic Accumulator..- Adaptive Capsule Graph Neural Network with Attention Mechanism for Parathyroid Glands Detection..- HGC: A Hybrid Method Combining Gravity Model and Cycle Structure for Identifying Influential Spreaders in Complex Networks..- Code Refactoring with ChatGPT: Analysis Based on Real and Synthetic Extract Method Opportunities..- A Robust Data Watermarking Method Based on Secret Sharing and GAN for Digital Elevation Model..- MOAT: Federated Learning-Based Method for Improved Detection of IoT Botnets..- In-context Contrastive Learning for Temporal Knowledge Graph Reasoning..- Emotion-Aware Knowledge Tracing: Enhancing Student Performance Prediction with Multi-Head Emotional Attention and Dynamic Gating..- Mask-guided Visual Text Transformer for Radiology Reports Representation Learning..- MCIGLE: Multimodal Exemplar-Free Class-Incremental Graph Learning..- MTCA-ViT: Multi-modal Temporal Contrastive Vision Transformer for Depression Detection..- SGCoT:Self-Generating Chain-of-Thought for Discipline Classification..- Learning Interaction-Aware and Neighborhood Semantic-Enhanced Embedding for Link Prediction..- PromptPilot: Autonomous Prompt Optimization via Genetic Particle Filtering and Dynamic Exploration..- A Unified Computation Framework of Lattices in Hierarchical Data Analysis..- Generating Event-oriented Attribution for Movies via Two-Stage Prefix-Enhanced Multimodal LLM..- Multi-scale Masked Transformer for Robust Point Cloud Registration..- Expert Data - assisted Diagnosis: An INFO - iTransformer - XGBoost Combined Discriminative System for Prenatal Diagnosis of Fetal Congenital Heart Disease..- Temporal Knowledge Graph Reasoning Based on Historical Statistical Reward Mechanism..- Optimized DFA-based URL Filtering for P4 Programmable Switches..- Improving Mongolian-Chinese Translation Quality using Noise-Enhanced mBART..- RMNS: Robust Hyper-Relational Link Prediction Model Based on Multi-Level Negative Sampling..- HG-GIN: Double layer attention graph isomorphism network based on hybrid neighborhood..- Matching Ancient Dunhuang Manuscripts Based on Multi-dimensional Feature Fusion..- NexaFusion: Integrating Multi-team Collaboration for High-Impact Outcomes..- Comprehensive Evaluation of Large Language Model Responses : A Multi-Factor Scoring System..- Service Area Vehicle Flow Prediction Model for Highway Service Areas Based on Gravity Model Quadratic Assignment..- Multi-Agent Collaborative Framework with Few-Shot CoT for Threat Detection..- CombDE: Direct-Distillation combined with Self-Distillation for Knowledge Graph Embeddings..- Rethinking Lightweight and Efficient Human Pose Estimation with Star Operation Reconstruction..- Comparing large language model-based prompt engineering strategies with feature engineering strategies for complex word identification..- DARIS: Dynamic Adaptive Refinement of Interaction Sequence for Sequential Recommendation..- PolyBERT: Fine-Tuned Poly Encoder BERT-Based Model for Word Sense Disambiguation..- FedDYS: Federated Learning Based on Local Regularization against Data Heterogeneity.

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Book Synopsis.- Keynote.- Implementation of the National Address System (NAS) in Malaysia: Policy and Technological (AI) Enablers through Visual-based Use Cases..- Modeling and Simulation.- Design and Development of Multi-Party Quantum Key Distribution Simulation Framework based on Optical Frequency Division multiplexing in the fiber optics using OptiSystem..- Data Quality Assessment Framework for Predictive Maintenance (PdM) in Industrial AI: Review..- Exploring the Impact of Surface Temperature on Soil Moisture and Thermal Dynamics..- Mixed Reality and Human-Computer Interaction.- A Review of Phatic Communication in Enhancing Social Engagement Among Older Adults..- Design Elements in Brain-Computer Interface for Working Memory: A Decade Review..- Effects of Alarm Sound Type on Sleep Inertia: Exploring Links with Individual Differences..- Visualization of Physics Concepts and Investigation of Educational Effects Using Virtual Reality Teaching Materials with Object Tracking..- Assessing the Effects of Virtual Teaching Tools on ESL Primary Students’ Vocabulary Learning..- Intelligent Data Analytics.- Social Media Analytics for Understanding Public Perception of Green Energy in Malaysia: Trends, Challenges, and Insights..- RetinaNet vs. SSDMobileNetV2: A Comparative Study on Smartphone-Based  Classification of Indonesian Rice Varieties..- Scam Surveillance Model Integrating ELA-Based ResNeXt and BERT-Linguistic Fusion for Misinformation Detection..- LoRA-based Efficient Fine-Tuning of Transformer Models for Short Text Classification..- Enhancing Legal Text Classification Performance by using DistilBERT..- A Review and Multi-Task Learning Approach for Emotion Identification in Cyber Sexual Harassment Using Large Language Models..- Comparison of Clustering Method for LiDAR Loop-Closure Detection..- EDAIN-Enhanced Machine Learning for Robust Carbon Price Forecasting in Volatile Market..- Applied AI.- Visual Analysis and Scientometric Mapping of Deep Learning Techniques for Grapevine Disease Classification..- Deep Learning-Based Emotion Recognition in Children with Real-Time Web Application Deployment..- Multi-Scale Deep Learning for Ancient Brocade Pattern Restoration with Comprehensive Comparative Analysis..- Ensemble-Based Automated Prostate Cancer Diagnosis Using Dual Swin Transformer UNet Segmentation (DSTra-UNet)..- Realtime Kick Motion Detection in Pencak Silat with YOLOv11..- Mental Health Monitoring of Older Adults Using a Temporal Emotion Recognition Algorithm: An IoT-Driven Approach..- Mimicking Man, Reaching God? The Plausibility of Superintelligent AI in the Light of Islamic Thought..- A Generative AI Framework for Learning Management System (LMS) Chatbot Integration..- Visual Informatics Applications.- A Comparative Review of Decentralized Autonomous Organizations Adoption in Social Impact Organizations Focusing on Transparency, Governance Models, and Adoption Challenges..- Towards Sustainability Principles In Data Integration Framework: Smart Farming Context..- Leveraging Business Intelligence and Text Mining for Automated Detection of Public Procurement Fraud..- Comparative Analysis of Machine Learning Techniques for Predicting Students’ Academic Performance..- The Impact of Blockchain-enabled Transparency, Security, and Decentralization as a Driver of Knowledge-Sharing within Digital Governance Frameworks in Higher Education..- Assessing the Role of IoT in Smart City Development in China..- Smart Monitoring System for 3D printing..- Design of Multi-Protocol Fast Charging Charger for Mobile Smart Devices Based on Gallium Nitride..- Analyzing Factors of Public Engagement with Community Reporting Systems through a Business Intelligence Approach..- Integration of Energy Informatics in Microalgae Biorefinery and Bioenergy towards Environmental and Energy Sustainability in Smart Cities ..- A Review of Security Perspectives on the Implementation of Cloud Based ERP Systems.

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Book SynopsisIntroduction and Background.- Mediation in the Causal Inference Framework.- Estimation of the Causal Mediation Analysis.- Moving from the Single-Mediator to the Multi-Mediator Question.- Sensitivity Analysis.- Conclusion.

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