Suchergebnisse

Detecting Malign Influence -- Misogyny, Women in Power, and Patterns of Social Media Harassment -- Stereotype Content Dictionary: A Semantic Space of 3 Million Words and Phrases Using Google News Word2Vec Embeddings -- Social Cybersecurity Analysis of the Telegram Information Environment During the 2022 Invasion of Ukraine -- The Dynamics of Political Narratives During the Russian Invasion of Ukraine -- Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit -- Building a healthier feed: Private location trace intersection driven feed recommendations -- Classifying Policy Issue Frame Bias in Philippine Online News -- Dismantling Hate: Understanding Hate Speech Trends Against NBA Athletes -- Feedback Loops and Complex Dynamics of Harmful Speech in Online Discussions -- Chirping Diplomacy: Analyzing Chinese Social-Cyber Maneuvers on Twitter -- Vulnerability Dictionary: Language Use During Times of Crisis and Uncertainty -- Tracking China's Cross-Strait Bot Networks Against Taiwan -- Assessing Media's Representation of Frustration Towards Venezuelan Migrants in Colombia -- Human Behavior Modeling -- Agent-Based Moral Interaction Simulations in Imbalanced Polarized Settings -- Investigating the Use of Belief Bias to Measure Acceptance of False Information -- Simulation of Stance Perturbations -- Integrating Human Factors into Agent-Based Simulation for Dynamic Phishing Susceptibility -- Designing Organizations of Human and Non-Human Knowledge Workers -- Modeling Human Actions in the Cart-Pole Game Using Cognitive and Deep Reinforcement Learning Approach -- CCTFv1: Computational Modeling of Cyber Team Formation Strategies -- Simulating Transport Mode Choices in Developing Countries -- User Identity Modeling to Characterize Communication Patterns of Domestic Extremists Behavior on Social Media -- Understanding Clique Formation in Social Networks - An Agent-Based Model of Social Preferences in Fixed and Dynamic Networks -- A Bayesian Approach of Predicting the Movement of Internally Displaced Persons -- Social-Cyber Behavior Modeling -- Few-Shot Information Operation Detection Using Active Learning Approach -- Dynamic Modeling and Forecasting of Epidemics Incorporating Age and Vaccination Status -- Inductive Linear Probing for Few-shot Node Classification -- Regression Chain Model for Predicting Epidemic Variables -- Physical Distancing and Mask Wearing Behavior Dataset Generator from CCTV Footage Using YOLOv8 -- Moving Beyond Stance Detection in Cross-cutting Communication Analysis -- Pandemic Personas: Analyzing Identity Signals in COVID-19 Discourse on Twitter.

The Initial Impact of Technology Enabled Relationship Creation in Rural Lebanon -- Meaning of fun in hotel gamified applications -- Riding against the algorithm: Algorithmic management in on-demand food delivery -- "Domestic or International?" The Impact of Cognitive Absorption of Short-Form Videos on Tourists' Post-COVID Travel Intention: An exploratory study on Douyin -- A Re-rank Algorithm for Online Hotel Search -- Exploring Customer Experience with Service Robots in Hospitality and Tourism: Activity Theory Perspective -- How do affect the infusion of smart technology and mindfulness of tourism SMEs on competitiveness -- User Experience and Spatial Presence in a Walk-in Augmented Reality 3D Model for Tourists.

Die Arbeit untersucht vor dem Hintergrund der gesetzlichen Neuregelung der Präimplantationsdiagnostik (PID) durch § 3a ESchG, ob die Regelung eine rechtssichere Handhabung der PID in Deutschland ermöglicht. Ein besonderer Fokus liegt dabei auf der Frage, ob das Ansinnen des Gesetzgebers, die PID lediglich in engen Grenzen zuzulassen, durch § 3a ESchG realisiert werden konnte. Die Arbeit hat darüber hinaus das Ziel, die Debatten um die PID mit Blick auf die sie betreffenden unterschiedlichen Disziplinen zu spiegeln: Der Ansatz ist trotz des rechtlichen Schwerpunkts daher ein interdisziplinärer. Die PID wird folglich nicht nur einfachgesetzlich, sondern auch aus medizinischer, ethischer und verfassungsrechtlicher Perspektive betrachtet. Bei der Untersuchung des Statuts des Embryos in vitro erfolgt dabei eine umfassende Analyse der Rechtswirklichkeit, wie sie in den gesetzlichen Regelungssystemen zum vorgeburtlichen Lebensschutz und in der Rechtsprechung des BVerfG Ausdruck findet.

Computer Science and Information Technology -- Zero Configuration Comfort and Accessibility in Smart Environments -- The impact of the evolution of Operating Systems on older Web Applications -- Method for Evaluating the Performance of Web-Based APIs -- Application of Traditional and Deep Learning Algorithms for Sentiment Analysis of Global Warming Tweets -- 3D Simulation and Comparative Analysis of Immune System Cell Micro-Level Responses in Virtual Reality and Mixed Reality Environments -- Developing a 3D Laparoscopy Training Application to Assess the Efficacy in Virtual Reality Environments -- Collaborating with Agents in Architectural Design and Decision-Making Process: Top-down and Bottom-up Case Studies Using Reinforcement Learning -- Health Technology and Medicine -- 5G and IoT for Intelligent Healthcare: AI and Machine Learning Approaches— A review -- Experience of Visually-Impaired Children in the Enjoyment of Cartoons -- A review of wearable sensor patches for patient monitoring -- Enhancing Student Well-being: the Impact of a Mindful-ness-Based Program (Mind7+) on Stress, Anxiety, Sleep Quality, and Social Interactions in a sample of Portuguese University Students -- Algorithm for Diagnosis of Metabolic Syndrome and Heart Failure using CPET Biosignals via SVM and Wavelet Transforms -- Meal Suggestions for Caregivers and Indecisive Individuals Without a Set Food Plan.

Im Rahmen des Transparenzrichtlinie-Umsetzungsgesetzes fügte der deutsche Gesetzgeber im Jahr 2007 mit § 331 Nr. 3a HGB eine neue Strafnorm auf dem Gebiet des Bilanzstrafrechts ein. Durch diese wurde die Abgabe eines unrichtigen »Bilanzeids« zum Jahres- und Konzernabschluss sowie zum Lage- und Konzernlagebericht von den gesetzlichen Vertretern von Kapitalgesellschaften unter Strafe gestellt. Seit ihrem Inkrafttreten wirft diese Strafnorm zahlreiche Fragen auf. Insbesondere wird vor dem Hintergrund, dass die unrichtige Rechnungslegung bereits seit jeher unter Strafe gestellt ist, in der Fachliteratur intensiv über den Anwendungsbereich von § 331 Nr. 3a HGB diskutiert. Eine klärende Gerichtsentscheidung steht bis heute aus. -- Die Arbeit behandelt sämtliche für Wissenschaft und Unternehmenspraxis bedeutsamen Fragestellungen rund um den Bilanzeid. Unter anderem forschte der Verfasser mehrere Monate lang an der University of California in Berkeley, um sich mit dem US-amerikanischen Bilanzrecht und Bilanzstrafrecht vertraut zu machen, dessen Modernisierung durch den »Sarbanes-Oxley Act of 2002« gewissermaßen den Grundstein für die innerdeutsche Gesetzgebung darstellt. Eine unter den Finanzvorständen sämtlicher im DAX, MDAX und SDAX gelisteten Unternehmen durchgeführte Fragebogen-Untersuchung rundet die Darstellung ab. -- Ausgezeichnet durch die Rechtswissenschaftliche Fakultät der Universität zu Köln mit dem CBH-Promotionspreis 2014.

Der Erfolg von Restrukturierungen hängt regelmäßig entscheidend von der steuerlichen Behandlung von durch Sanierungsmaßnahmen ausgelösten Gewinnen ab. Die Anwendung der zu diesem Zweck geschaffenen Steuerbefreiung des § 3a EStG ist jedoch aufgrund zahlreicher Auslegungsfragen konfliktträchtig. Die Arbeit zeigt daher umfassend die bekannten und neu entstanden Probleme hinsichtlich ihres Anwendungsbereichs, der Voraussetzungen und Rechtsfolgen auf, entwickelt auf Basis der einschlägigen Literatur praxisgerechte Lösungen und bietet so eine verlässliche Hilfe für die Sanierungspraxis. In einem zweiten Schwerpunkt widmet sich die Arbeit einer Prüfung der Vereinbarkeit von § 3a EStG mit dem allgemeinen Gleichheitssatz des Art. 3 Abs. 1 GG.

Social Media and Online Communities -- HGNN-T5 PEGASUS: A Hybrid Approach for Chinese Long Text Summarization -- Prompt-based and Two-stage Training for Few-shot Text Classification -- A Fine-Grained Image Description Generation Method Based on Joint Objectives -- Analyzing Collective Intelligence through Sentiment Networks in Self-Organized Douban Communities -- Similarity Metrics and Visualization of Scholars Based on Variational Graph Normalized Auto-Encoders -- Scholar Influence Maximization via Opinion Leader and Graph Embedding Regression in Social Networks -- Incremental Inductive Dynamic Network Community Detection -- Er-EIR: A Chinese Question Matching Model based on Word-level and Sentence-level Interaction Features -- MOOC dropout prediction using learning process model and LightGBM algorithm -- Nonnegative Matrix Factorization Based on Topology-And-Attribute-Matching Degree for Community Detection -- Unsupervised Multi-population Evolutionary Algorithm for Community Detection in Attributed Networks -- Parallel High Utility Itemset Mining Algorithm on the Spark -- ABCD-HN: An Artificial Network Benchmark for Community Detection on Heterogeneous Networks -- A Multi-Behavior Recommendation Based on Disentangled Graph Convolutional Networks and Contrastive Learning -- How hypergraph-to-graph conversion affects cooperative working visualization: A Multi-metric evaluation -- Vessel Traffic Flow Prediction and Analysis Based on Ship Big Data -- TGPPN: A Transformer and Graph Neural Network based Point Process Network Model -- Dynamic Network Link Prediction Based on Attention and Time Perception -- User's Emotional Diffusion and Public Opinion Evolution Under Public Health Emergencies -- Mobile Edge Computing Offloading Strategy Based on Deep Reinforcement Learning -- Study of Mental Model in Human-Computer Interaction Based on EEG Signal Data -- Collaborative Mechanisms, Models, Approaches, Algorithms and Systems -- A Scholarly Information Retrieval System Incorporating Recommendation with Semantic Similarity -- DAG-based Task Scheduling Optimization in Heterogeneous Distributed Systems -- A Distributed Cross-layer Protocol for Sleep Scheduling and Data Aggregation in Wireless Sensor Networks -- Time Split Network for Temporal Knowledge Graph Completion -- Deep Q-learning Based Circuit Breaking Method for Micro-services in Cloud Native Systems -- FRS4CPP: A Fair Recommendation Strategy Considering Interests of Users; Providers and Platform -- Accelerating Unsupervised Federated Graph Neural Networks Via Semi-Asynchronous Communication -- Life Cycles and Self-organized Criticality of Vietnam Empires: Based on Sandpile Model -- Multi-source Autoregressive Entity Linking Based on Generative Method -- Improving Voice Style Conversion via Self-Attention VAE with Feature Disentanglement -- Deep Reinforcement Learning for Delay and Energy-aware Task Scheduling in Edge Clouds -- A Comprehensive Review of the Oversmoothing in Graph Neural Networks -- A Foreground Feature Embedding Network for Object Detection in Remote Sensing Images -- Visitors Vis: Interactive Mining of Suspected Medical Insurance Fraud Groups -- CERender: Real-time Cloud Rendering Based on Cloud-Edge Collaboration -- Auxiliary Diagnosis of Pneumonia Based on Convolutional Attention and Parameter Migration -- End-to-end Relation-Enhanced Learnable Graph Self-attention Network for Knowledge Graphs Embedding -- Research on Signal Detection and System Recognition Techniques in Private Internet of Things -- Research on Traffic Flow Prediction and Traffic Light Timing Recommendation Technology Based on Vehicle Data Analysis -- Towards Distributed Graph Representation Learning.

Crowd Intelligence and Crowd Cooperative Computing -- Explicit Coordination Based Multi-Agent Reinforcement Learning for Intelligent Traffic Signal Control -- A Crowdsourcing Task Allocation Mechanism for Hybrid Worker Context Based on Skill Level Updating -- Blockchain-Based Multi-factor K-anonymity Group Location Privacy Protection Scheme -- Context-Aware Automatic Splitting Method for Structured Complex Crowdsourcing Tasks -- A Method for Security Traffic Patrolling Based on Structural Coordinated Proximal Policy Optimization -- Crowdsourced Task Recommendation via Link Prediction -- Research on Multi-UAV Target Allocation Based on Improved Auction Algorithm -- Enhancement of Cat Breeds Classification Model based on Meta Loss Correction -- Multi-UAV Cooperative Reconnaissance Task Allocation Based on IEPPSO Algorithm -- Cooperative Evolutionary Computation and Human-like Intelligent Collaboration -- Group Role Assignment with Trust between Agents -- Memetic Algorithm with Exchange Coding for Intelligent Scheduling Optimization -- A Dimension-Based Elite Learning Particle Swarm Optimizer For Large-Scale Optimization -- Compactness and Separateness Driven Fuzzy Clustering Validity Index Called TLW -- Cross-lingual Speaker Transfer for Cambodian based on Feature Disentangler and Time-Frequency Attention Adaptive Normalization -- Refining Skeleton-based Temporal Action Segmentation with Edge Information -- CoME: Collaborative Model Ensemble for Fast and Accurate Predictions -- Study on the evolution of public opinion on public health events -- Enhance the Transferability From an Overfitting Perspective -- CMGN: Cross-Modal Grounding Network for Temporal Sentence Retrieval in Video -- Fast Community Detection Based on Integration of Non-cooperative and Cooperative Game -- Professional Text Review Under Limited Sampling Constraints -- Latent Diffusion Model-Based T2T-ViT for SAR Ship Classification -- Domain-Specific Collaborative Applications -- An Empirical Study On the Urgent Self-Admitted Technical Debt -- Modular Joint Training for Speech-Driven 3D Facial Animation -- Extracting Structural Knowledge for Professional Text Inference -- Card Mini Program Design and Implementation Based on SCHOLAT Social Network -- A Traffic Flow Prediction based Task Offloading Method in Vehicular Edge Computing -- A Prediction-based Fuzzy Method for Multi-objective Microservice Workflows Scheduling -- Smart Contract Generation Supporting Multi-instance for Inter-Organizational Process Collaboration -- Arterial Traffic Optimization Algorithm Based on Deep Reinforcement Learning and Green Wave Coordination Control in Complex Lane Queuing Conditions -- Multi-robots Formation and Obstacle Avoidance Algorithm based on Leader-follower and Artificial Potential Field Method -- A Multi-stage Network with Self-attention for Tooth Instance Segmention -- Fault Tolerance Aware Virtual Machine Scheduling Algorithm in Cloud Data Center Environment -- Personalized Learning Made Simple: A Deep Knowledge Tracing Model for Individual Cognitive Development -- Vehicle Edge Computing Network Service Migration Strategy Based on Multi-Agent Reinforcement Learning -- A Lightweight Dual Branch Fusion Network for Single Image Deraining -- 3D Object Detection Method Based on LiDAR Point Cloud Data -- Collaborative Computer Vision and Cloud Platform for Gastrointestinal Polyp Detection -- An Intelligent Teaching Evaluation System Integrating Emotional Computing and Cloud Platform -- Deep Learning-Based Fastener Counting and Localization Correction Method -- Design and Simulation of Cooperative Communication Networks for Wireless Sensors in Underwater Environments.

Mit dem Hochschulranking nach Gleichstellungsaspekten 2023 liegt die elfte Ausgabe dieses etablierten und langjährigen Instruments zur Qualitätssicherung für Gleichstellung an Hochschulen vor. Das Ranking beruht auf einem mehrdimensionalen Indikatorenmodell und berücksichtigt über das Kaskadenmodell die Fächerprofile der Hochschulen. Verwendet wurden Daten der amtlichen Hochschulstatistik für das Jahr 2021. Zusätzlich zu dem Hochschulranking beinhaltet die Veröffentlichung ein Ranking der Bundesländer, das auf ähnlichen Indikatoren beruht. Die Veröffentlichung wendet sich an alle, die in Hochschulen und Politik an der Qualität und dem Innovationspotenzial unserer Hochschulen interessiert sind.