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.

Attached are updated "Information Guides" for each type of tax appeal that briefly explain the procedures outlined in SC Revenue Procedure #20-1. The guides are intended as a quick reference tool for taxpayer's and tax practitioners.

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.

This information guide explains the South Carolina Tax Appeals Procedure for State Tax Refund Claims (Other than Property Tax, Bingo, and Alcoholic Beverage Matters).

The Great Speckled Bird was published from 1968 to 1976 with some issues appearing in the 1980s and 2000s. This publication was one of the longest-running and highest quality underground newspapers of the era. Frequently published were articles on Atlanta's political leaders, the women's movement, abortion, racial issues, popular culture and gay liberation.

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.

Semaphorin 3A (Sema3A) is a cell-secreted protein that participates in the axonal guidance pathways. Sema3A acts as a canonical repulsive axon guidance molecule, inhibiting CNS regenerative axonal growth and propagation. Therefore, interfering with Sema3A signaling is proposed as a therapeutic target for achieving functional recovery after CNS injuries. It has been shown that Sema3A adheres to the proteoglycan component of the extracellular matrix (ECM) and selectively binds to heparin and chondroitin sulfate-E (CS-E) glycosaminoglycans (GAGs). We hypothesize that the biologically relevant interaction between Sema3A and GAGs takes place at Sema3A C-terminal polybasic region (SCT). The aims of this study were to characterize the interaction of the whole Sema3A C-terminal polybasic region (Sema3A 725–771) with GAGs and to investigate the disruption of this interaction by small molecules. Recombinant Sema3A basic domain was produced and we used a combination of biophysical techniques (NMR, SPR, and heparin affinity chromatography) to gain insight into the interaction of the Sema3A C-terminal domain with GAGs. The results demonstrate that SCT is an intrinsically disordered region, which confirms that SCT binds to GAGs and helps to identify the specific residues involved in the interaction. NMR studies, supported by molecular dynamics simulations, show that a new peptoid molecule (CSIC02) may disrupt the interaction between SCT and heparin. Our structural study paves the way toward the design of new molecules targeting these protein–GAG interactions with potential therapeutic applications. ; This work was funded by the European Union Seventh Framework Programme (FP7/2007–2013) under Project VISION, grant No. 304884, the Spanish Ministry of Science and Innovation/Spanish Research Agency (MCI/AEI/FEDER, RTI2018–096182-B-I00) and AGAUR (2017 SGR 208). ; Peer reviewed

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.

Title Page -- Copyright Page -- Table of Contents -- Introduction: New Strategic Realities in a Post-COVID World -- Chapter 1: Workforce Trends -- Chapter 2: Competitive Environment -- Chapter 3: Cybersecurity -- Chapter 4: Consumer Trends -- Chapter 5: Health Equity -- Chapter 6: Artificial Intelligence -- Chapter 7: Capacity Planning -- Chapter 8: Culture of Trust -- About the Contributors -- Back Cover.

Volume III of National Accounts of OECD Countries comprises Volume IIIa - Financial Accounts - Flows and Volume IIIb - Financial Balance Sheets - Stocks . In both volumes, data, based on the System of National Accounts (SNA 1993), are expressed in national currency (in euros for euro area countries). Volume IIIa covers financial accounts of OECD countries and includes financial transactions (both net acquisition of financial assets and net incurrence of liabilities), by institutional sector (non-financial corporations, financial corporations, general government, households and non-profit insti