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1. |
Record Nr. |
UNINA9910254496803321 |
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Autore |
Turner J. Rick |
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Titolo |
Cardiovascular Safety in Drug Development and Therapeutic Use : New Methodologies and Evolving Regulatory Landscapes / / by J. Rick Turner, Dilip R. Karnad, Snehal Kothari |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Adis, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XXVI, 333 p. 2 illus. in color.) |
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Disciplina |
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Soggetti |
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Pharmacy |
Cardiology |
Drug Safety and Pharmacovigilance |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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The Central Importance of Cardiovascular Safety in Contemporary New Drug Development -- The Biological Basis of Drug Responses -- Cardiovascular Structure, Function, Pathophysiology, & Disease -- The Current Regulatory Landscape -- The "Comprehensive In Vitro Proarrhythmia Assay" Initiative -- The "Early ECG Assessment" Initiative -- The "Submission of Extended Digital ECG Data" Initiative -- Meta-analysis and Meta-methodology -- Current Regulatory Landscapes and their Potential Evolution -- Off-target Blood Pressure Responses to Non-cardiovascular Drugs -- Oncology Drug Development and Therapeutics: Cardiotoxicity Considerations -- Postmarketing Surveillance -- Regulatory Perspectives on General Drug Safety -- Future Directions in Cardiovascular Safety -- References. |
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Sommario/riassunto |
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With the advent of multiple new therapeutic agents for a variety of important diseases has come an increasing realization that many of these drugs can have adverse effects on the heart and vascular system. As this book so elegantly details the mechanisms by which harm occurs are highly complex, many times predictable, but always clinically relevant. Notable experts in the field of cardiovascular medicine, such as Drs. Turner, Karnad, and Kothari, have turned their attention to this thorny problem, and begun to dissect the diverse mechanisms by which |
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cardiac harm can occur with a variety of non-cardiac drugs. This is no easy task, given the complexity of the diseases we treat, and the wide spectrum of new therapies we seek to apply. However, it is an issue with which all health care providers must become familiar in order to prescribe appropriate therapy while safeguarding patients against avoidable and life-threatening cardiac adverse effects. This compendium represents the state-of-the-art in the evolving field of cardiac safety and is vital reading for those interested in developing new chemical entities, as well as those who prescribe them and monitor patients for their hazard. As such, I recommend this book as essential reading for students, scientists, and health care providers at all levels of training. Peter R. Kowey, MD, FACC, FAHA, FHRS Lankenau Institute for Medical Research & Thomas Jefferson University. |
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2. |
Record Nr. |
UNINA9910984695303321 |
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Autore |
Guarda Teresa |
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Titolo |
Advanced Research in Technologies, Information, Innovation and Sustainability : ARTIIS 2024 International Workshops, Santiago de Chile, Chile, October 21–23, 2024, Revised Selected Papers, Part I / / edited by Teresa Guarda, Filipe Portela, Maria Fernanda Augusto |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (681 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 2348 |
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Altri autori (Persone) |
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PortelaFilipe |
AugustoMaria Fernanda |
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Disciplina |
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Soggetti |
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Computer engineering |
Computer networks |
Application software |
Image processing - Digital techniques |
Computer vision |
Software engineering |
Computer Engineering and Networks |
Computer and Information Systems Applications |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Software Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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-- Applications of Computational Mathematics to Simulation and Data Analysis (ACMaSDA 2024). -- Resonant Recognition Model as a Preprocessing Technique for RNA Classification. -- Computational Performance Analysis of PCA Enhanced AnEn Method. -- Depth Completion Enhancement with Morphological Filtering and a Variation of the Infinity Laplacian. -- Business, Technology and Digital Transformation (BTDT 2024). -- Blockchain Application in Smart Tourism. -- Fuzzy theory in Credit Scoring: A literature review. -- Mobile Application for Managing Service Payments in SMEs. -- Bibliometric Insights into AI and Emerging Technologies for Sustainability Accounting and Reporting. -- Urban Governance Models in Smart Cities: case of Quito-Ecuador. -- The Use of Artificial Intelligence in Governance: A Systematic Review. -- Smart Chatbot for the Optimization of the Use of Natural Resources in Agricultural Production. -- Emergent Technologies and Artificial Intelligence (ET-AI 2024). -- Optimizing Autonomous Vehicle Control through Deep Q-Learning: A Simulation Based Approach with CARLA. -- Analysis of the Correct Execution of Free Squats for Injury Prevention: A Genetic Al gorithm Approach. -- Lane Direction by Implementing Random Sampling Algorithms. -- Intelligent Systems for Health and Medical Care (ISHMC 2024). -- A Model for Recognizing Mexican Sign Language Using Convolutional Neural Networks. -- AI-based Decision Support Systems to Improve Diagnostic Accuracy Via Medical Imaging. -- Predicting Employment Outcomes Based on Health Status and Socioeconomic Factors Using Neural Network Analysis. -- Explainability of Disease Classification from Medical Images using XGrad-Cam. -- MRI-Based Brain Tumor Classification: A Texture Analysis and Machine Learning Approach. -- Leveraging Neuromarketing and AI: Developing an Algorithm to Detect Consumer Joy through Brain Signals. -- Femoral Head Surface Segmentation Using Ultrasound Images as Input Source: A local phase and rigid filtering approach. -- Interpreting CNN for Brain Tumor Classification using XGrad-Cam. -- D.R.E.A.M App to Promote the Mental Health in Higher Education Students. -- Workshop on Gamification Application and Technologies (GAT 2024). -- FGPE - An Evolving Framework for Gamified Programming Learning. -- Enhancing Gamified LMS with the Integration of Games Experiences. -- Impact of Educational Video Games on the Development of Meaningful Learning in the Field of Mathematics. -- Smart Tourism and Information Systems (SMARTTIS 2024). -- Innovation in Tourism: The Role of Artificial Intelligence in Personalizing the Traveler Experience. -- Visitor Perspectives on Event Marketing's Role in Local Tourism. -- Smart Tourism Ecosystem: From connectivity to value co-creation. -- Service Quality in Porto’s Hotels: A Comprehensive Analysis of Customer Reviews on TripAdvisor. -- Exploring Wearable Device Acceptance: An Empirical Study. -- Exploring the Synergy Between Traditional Markets and Tourism: an inferential analysis. -- Analysis of the Visitor Profile, Perspectives and Tourism Innovation: Case of Santa Elena, Ecuador. -- Analyzing Artificial Intelligence in the Tourism Sector: A Bibliometric Study from the Past Decade. -- From Likes to Comments: Tracking Interaction Trends on Social Networks to Promote Cultural Events. |
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Sommario/riassunto |
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This two-volume set, CCIS 2348 and CCIS 2349 ,constitutes the revised selected papers from the International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability 2024, ARTIIS 2024 Workshops, held in Santiago de Chile, Chile, in October 2024. The 55 full papers and 10 short papers presented in these two volumes were carefully reviewed and selected from 170 submissions. These proceedings include papers from the following workshops: Part I: Applications of Computational Mathematics to Simulation and Data Analysis (ACMaSDA 2024); Business, Technology and Digital Transformation (BTDT 2024); Intelligent Systems for Health and Medical Care (ISHMC 2024); Workshop on Gamification Application and Technologies (GAT 2024); Smart Tourism and Information Systems (SMARTTIS 2024). Part II: International Symposium on Technological Innovations for Industry and Society (ISTIIS 2024); International Workshop on Electronic and Telecommunications (IWET 2024); Boosting Tourism using New Technologies (#RTNT2024); Cybersecurity in Information and Communication Technologies (CICT 2024); Bridging Knowledge in a Fragmented World (glossaLAB 2024); Workshop on IoT Networks and Wireless for sustainability (WINWIN-4S 2024); Innovation in Educational Technology (JIUTE 2024). |
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3. |
Record Nr. |
UNINA9910512185403321 |
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Titolo |
Neural Information Processing : 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part I / / edited by Teddy Mantoro, Minho Lee, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (719 pages) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 13108 |
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Disciplina |
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Soggetti |
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Pattern recognition systems |
Machine learning |
Computer vision |
Computer engineering |
Computer networks |
Education - Data processing |
Automated Pattern Recognition |
Machine Learning |
Computer Vision |
Computer Engineering and Networks |
Computers and Education |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Theory and Algorithms -- Metric Learning Based Vision Transformer for Product Matching -- Stochastic Recurrent Neural Network for Multistep Time Series Forecasting -- Speaker Verification with Disentangled Self-Attention -- Multi Modal Normalization -- A Focally Discriminative Loss for Unsupervised Domain Adaptation -- Automatic Drum Transcription with Label Augmentation using Convolutional Neural Networks -- Adaptive Curriculum Learning for Semi-Supervised Segmentation of 3D CT-Scans -- Genetic Algorithm and Distinctiveness Pruning in the Shallow Networks for VehicleX -- Stack Multiple Shallow Autoencoders |
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into A Strong One: A New Reconstruction-based Method to Detect Anomaly -- Learning Discriminative Representation with Attention and Diversity for Large-scale Face Recognition -- Multi-task Perceptual Occlusion Face Detection with Semantic Attention Network -- RAIDU-Net: Image Inpainting via Residual Attention Fusion and Gated Information Distillation -- Sentence Rewriting with Few-Shot Learningfor Document-Level Event Coreference Resolution -- A Novel Metric Learning Framework for Semi-supervised Domain Adaptation -- Generating Adversarial Examples by Distributed Upsampling -- CPSAM: Channel and Position Squeeze Attention Module -- A Multi-Channel Graph Attention Network for Chinese NER -- GSNESR: A Global Social Network Embedding Approach for Social Recommendation -- Classification Models for Medical Data with Interpretative Rules -- Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning -- Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing -- MA-GAN: A Method Based on Generative Adversarial Network for Calligraphy Morphing -- One-Stage Open Set Object Detection with Prototype Learning -- Aesthetic-aware Recommender System for Online Fashion Products -- DAFD: Domain Adaptation Framework for Fake News Detection -- Document Image Classification Method based on Graph Convolutional Network -- Continual Learning of 3D Point Cloud Generators -- Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process -- Generation of a Large-Scale Line Image Dataset with Ground Truth Texts from Page-Level Autograph Documents -- DAP-BERT: Differentiable Architecture Pruning of BERT -- Trash Detection On Water Channels -- Tri-Transformer Hawkes Process: Three Heads are better than one -- PhenoDeep: A deep Learning-based approach for detecting reproductive organs from digitized herbarium specimen images -- Document-level Event Factuality Identification using Negation and Speculation Scope -- Dynamic Network Embedding by Time-Relaxed Temporal Random Walk -- Dual-band Maritime Ship Classification based on Multi-layer Convolutional Features and Bayesian Decision -- Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring -- Domain-Adaptation Person Re-Identification via Style Translation and Clustering -- Multimodal Named Entity Recognition Via Co-attention-based Method with Dynamic Visual Concept Expansion -- Ego Networks -- Cross-modal based Person Re-Identification via Channel Exchange and adversarial Learning -- SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs -- Deep Neuroevolution: Training Neural Networks using a Matrix-free Evolution Strategy -- Weighted P-Rank: A Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network -- Clustering Friendly Dictionary Learning -- Understanding Test-Time Augmentation -- SphereCF: Sphere Embedding for Collaborative Filtering -- Concordant Contrastive Learning for Semi-supervised Node Classification on Graph -- Improving Shallow Neural Networks via Local and Global Normalization -- Underwater Acoustic Target Recognition with Fusion Feature -- Evaluating Data Characterization Measures for Clustering Problems in Meta-learning -- ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-aware Supervision Information -- Image Periodization for Convolutional NeuralNetworks -- BCN-GCN: A Novel Brain Connectivity Network Classification Method via Graph Convolution Neural Network for Alzheimer's Disease -- Triplet Mapping for Continuously Knowledge Distillation -- A Prediction-Augmented AutoEncoder for Multivariate Time Series Anomaly Detection. |
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Sommario/riassunto |
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The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 |
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constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications. |
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