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Self-Selection Bias of P-12 Engineering & Computing Activities for Female Pre-College Pupils (Fundamental Research, Diversity)
No full textRemote Heart Rate Detection and Presentation Attack Detection Using Time-of-Flight Cameras: A Feasibility Study
No full textModern biometric systems incorporate Presentation Attack Detection (PAD) mechanisms as elementary part to guard against spoofing. One effective approach is the detection of physiological liveness signals, such as heart rate. Our study explores the feasibility of using a 3D Time-of-Flight (ToF) camera to measure heart rate as a PAD method
Harmonic Current Correction for Common Mode Voltage Reduction and Narrow Pulse Elimination Method in DC-AC Matrix Converter
No full textPlanar3D-CamEval – Comparative 3D Camera Performance Evaluation on a Flat Wall
No full textThis dataset accompanies the study “Universal Metrics to Characterize the Performance of Imaging 3D Measurement Systems with a Focus on Static Indoor Scenes” and provides all measurement data, processing scripts, and evaluation code necessary to reproduce the results. It includes raw and processed point cloud data from six state-of-the-art 3D measurement systems, captured under standardized conditions. Additionally, the dataset contains high-speed sensor measurements of the cameras’ active illumination, offering insights into their optical emission characteristics. The key performance metrics—covering precision, accuracy, trueness, surface texture, and the Energy-Density-Weighted Depth Precision Index (EPI)—are summarized in a PowerPoint presentation with plots for easy comparison. By making this dataset publicly available, we aim to support further research, benchmarking, and the development of standardized evaluation methodologies for 3D imaging systems
Benchmarking the performance of healthcare systems in the provision of childhood immunization services in sub-Saharan Africa from 2016 to 2019
No full textChildhood immunization rates in many sub-Saharan African (SSA) countries have stagnated, trailing behind other global regions. This study evaluates the efficiency of childhood immunization service delivery and its environmental determinants in 36 SSA countries from 2016 to 2019. We apply data envelopment analysis (DEA) to measure technical efficiency, truncated bootstrap regression to assess influencing factors, and the Malmquist productivity index (MPI) to track productivity changes over time. Findings show that 36% of SSA countries have not met the World Health Organization’s 90% immunization target. The bias-corrected technical efficiency of immunization services is 0.895 (95% CI: 0.878–0.912). However, an MPI value of 0.715 indicates a 28.5% decline in total factor productivity, mainly due to slow technological advancements. Efficiency is positively associated with female education, governance quality, social health insurance coverage, population density, and healthcare access, while per capita GDP negatively correlates with efficiency. Despite high efficiency in some SSA countries, productivity remains hindered by technological limitations. We recommend that governments and international partners prioritize investments in technology and healthcare infrastructure to enhance productivity and improve immunization coverage
A Service-Dominant Logic for Digital Transformation Research and Practice: Systematic Review, Research Agenda, and Implementation Roadmap
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Dritte Änderungsordnung der Bachelor-Prüfungsordnung Allgemeiner Teil für die Bachelor Studiengänge - Digitaler Journalismus und Technologie (B.Sc.) - Elektrotechnik (B.Eng.) - Elektrotechnik kooperativ (B.Eng.) - Maschinenbau (B.Eng.) - Maschinenbau kooperativ (B.Eng.) - Nachhaltige Ingenieurwissenschaft (B.Eng.) - Nachhaltige Ingenieurwissenschaft kooperativ (B.Eng.) - Technikjournalismus (B.Sc.) und Visuelle Technikkommunikation (B.Sc.) vom 27. März 2025 am Standort Sankt Augustin der Hochschule Bonn-Rhein-Sieg vom 23. März 2017
Get PDFA quantitative study regarding value perception of students within the online shopping environment based on a theoretical framework for the human detection of fake reviews
Get PDFThis thesis investigates how consumers perceive the value of products in the context of online shopping, particularly on Amazon, and how this perception influences their ability to detect fake reviews. With the shift from traditional to digital retail, challenges arise in how consumers assess product value without direct interaction. Given the rise of deceptive online practices like fake reviews, understanding human detection of such misinformation is crucial.
The study integrates two theoretical perspectives: the human detection of fake reviews and the concept of perceived customer value. While most research focuses on algorithmic detection, this study emphasizes consumer decision-making and review evaluation. It builds on Holbrook’s customer value typology and tests Leroi-Werelds’ 2019 update, which introduces 24 value types (positive and negative) relevant to modern digital consumption.
A quantitative approach was employed using a survey that examined participants' responses to seven Amazon products of varying value levels (e.g. laptop, wireless headphones, robot vacuums). The Consumer Value Index was operationalized with 21 value types tailored to product assessment and the data was analyzed using structural equation modeling.
The results support that Leroi-Werelds' typology effectively captures perceived customer value. This contributes to better understanding of consumer behavior and can help design more effective e-commerce strategies and safeguards against fake reviews
