LEADER 07792nam 22007695 450 001 9910698641103321 005 20251113183742.0 010 $a9789819916429 010 $a9819916429 024 7 $a10.1007/978-981-99-1642-9 035 $a(CKB)5590000001037858 035 $a(DE-He213)978-981-99-1642-9 035 $a(MiAaPQ)EBC7238851 035 $a(Au-PeEL)EBL7238851 035 $a(PPN)269656316 035 $a(MiAaPQ)EBC7237053 035 $a(EXLCZ)995590000001037858 100 $a20230413d2023 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeural Information Processing $e29th International Conference, ICONIP 2022, Virtual Event, November 22?26, 2022, Proceedings, Part V /$fedited by Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (XXXV, 609 p. 196 illus., 173 illus. in color.) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1792 311 08$a9789819916412 311 08$a9819916410 320 $aIncludes bibliographical references and index. 327 $aTheory and Algorithms II -- GCD-PKAug: A Gradient Consistency Discriminator-based Augmentation Method for Pharmacokinetics Time Courses -- ISP-FESAN: Improving Significant Wave Height Prediction with Feature Engineering and Self-Attention Network -- Binary Orthogonal Non-negative Matrix Factorization -- Shifted Chunk Encoder for Transformer Based Streaming End-to-End ASR -- Interpretable Decision Tree Ensemble Learning with Abstract Argumentation for Binary Classification -- Adaptive Graph Recurrent Network for Multivariate Time Series Imputation -- Adaptive Rounding Compensation for Post-Training Quantization -- More Efficient And Locally Enhanced Transformer -- ASLEEP: A Shallow neural modEl for knowlEdge graph comPletion -- A speech enhancement method combining two-branch communication and spectral subtraction -- A fast and robust Photometric redshift forecasting method using Lipschitz adaptive learning rate -- Generating Textual Description using Modified Beam Search -- Disentangling Exploration and Exploitation in Deep Reinforcement Learning Using Contingency Awareness -- Multi-Grained Fusion Graph Neural Networks for Sequential Recommendation -- Optimal Design of Cable-Driven Parallel Robots by Particle Schemes -- UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases -- Active Learning with Weak Supervision for Gaussian Processes -- HPC based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data -- Cognitive Neurosciences -- RTS:A Regional Time Series Framework for Brain Disease Classification -- Deep Domain Adaptation for EEG-based Cross-subject Cognitive Workload Recognition -- Graph Convolutional Neural Network Based on Channel Graph Fusion for EEG Emotion Recognition -- Detecting Major Depressive Disorder by Graph Neural Network Exploiting Resting-state Functional MRI -- An Improved Stimulus Reconstruction Method for EEG-based Short-time Auditory Attention Detection -- Functional Connectivity of the Brain while Solving Scientific Problems with Uncertainty as Revealed by Phase Synchronization based on Hilbert Transform -- Optimizing pcsCPD with Alternating Rank-R and Rank-1 Least Squares: Application to Complex-Valued Multi-Subject fMRI Data -- Decoding Brain Signals with Meta-Learning -- Human Centered Computing -- Research on Answer Generation for Chinese Gaokao Reading Comprehension -- A Novel Graph Transformer Based Approach Toward Multi-hop Question Answering -- Logit Distillation via Student Diversity -- Causal connectivity transition from action observation to mentalizing network for understanding other?s action intention -- ND-NER: A Named Entity Recognition Dataset for OSINT towards the National Defense Domain -- Extractive Question Answering using Transformer-based LM -- Temporal dynamics of value integration in perceptual decisions: An EEG study -- Measuring Decision Confidence Levels from EEG Using a Spectral-Spatial-Temporal Adaptive Graph ConvolutionalNeural Network -- BPMCF: Behavior Preference Mapping Collaborative Filtering for Multi-Behavior Recommendation -- Neural Distinguishers on TinyJAMBU-128 and GIFT-64 -- Towards Hardware-friendly and Robust Facial Landmark Detection Method -- Few-shot Class-incremental Learning for EEG-based Emotion Recognition -- Motor Imagery BCI-based Online Control Soft Glove Rehabilitation System with Vibrotactile Stimulation -- Multi-level visual feature enhancement method for visual question answering -- Learning from Hindsight Demonstrations -- Hindsight Balanced Reward Shaping -- Emotion Recognition with Facial Attention and Objective Activation Functions -- M3S-CNN: Resting-state EEG based Multimodal and Multiscale Feature Extraction for Student Status Prediction in Class -- Towards Human Keypoint Detection in Infrared Images -- Multi-human intelligence in Instance-Based Learning -- How the Presence of Cognitive Biases in Phishing Emails Affects Human Decision-making? -- A simple memory module on reading comprehension -- Predicting Parkinson?s Disease Severity Using Patient-Reported Outcomes and Genetic Information -- Towards the Development of a Machine Learning-based Action Recognition Model to Support Positive Behavioural Outcomes in Students with Autism -- Safety Issues Investigation in Deep Learning based Chatbots Answers to Medical Advice Requests. 330 $aThe four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22?26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1792 606 $aPattern recognition systems 606 $aComputer vision 606 $aData mining 606 $aSocial sciences$xData processing 606 $aSoftware engineering 606 $aArtificial intelligence 606 $aAutomated Pattern Recognition 606 $aComputer Vision 606 $aData Mining and Knowledge Discovery 606 $aComputer Application in Social and Behavioral Sciences 606 $aSoftware Engineering 606 $aArtificial Intelligence 615 0$aPattern recognition systems. 615 0$aComputer vision. 615 0$aData mining. 615 0$aSocial sciences$xData processing. 615 0$aSoftware engineering. 615 0$aArtificial intelligence. 615 14$aAutomated Pattern Recognition. 615 24$aComputer Vision. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aSoftware Engineering. 615 24$aArtificial Intelligence. 676 $a006.3 702 $aTanveer$b Mohammad 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910698641103321 996 $aNeural Information Processing$92554499 997 $aUNINA LEADER 03504nam 2200589Ia 450 001 9910960620403321 005 20251117075845.0 010 $a1-61209-483-X 035 $a(CKB)2670000000129590 035 $a(EBL)3019134 035 $a(SSID)ssj0000691142 035 $a(PQKBManifestationID)12281491 035 $a(PQKBTitleCode)TC0000691142 035 $a(PQKBWorkID)10628632 035 $a(PQKB)11468122 035 $a(MiAaPQ)EBC3019134 035 $a(Au-PeEL)EBL3019134 035 $a(CaPaEBR)ebr10662941 035 $a(OCoLC)761314762 035 $a(BIP)32691748 035 $a(EXLCZ)992670000000129590 100 $a20100927d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aLung transplantation $etherapies, complications, and outcomes /$feditors, Richard D. Ferguson and Craig A. Holmer 205 $a1st ed. 210 $aHauppauge, N.Y. $cNova Science Publishers$dc2011 215 $a1 online resource (241 p.) 225 0 $aOrgan transplantation research horizons 300 $aDescription based upon print version of record. 311 08$a1-61122-760-7 320 $aIncludes bibliographical references and index. 327 $aPrimary graft dysfunction in lung transplantation / S.F. Marasco ... [et al.] -- Intensive care management of the lung transplant recipient / Paolo Feltracco ... [et al.] -- Impact of viral pathogens in lung transplant recipients / Cristina Costa ... [et al.] -- Identification of allo- and auto-antibodies after lung transplantation / A.W.M. Paantjens ... [et al.] -- Surgical aspects of lung transplantation / Silvana Marasco ... [et al.] -- Neurologic complications of lung transplantation / Sasha Zivkovic -- Leucocyte intracellular cytokines in lung transplantation patients : a more physiological indicator of immunosuppression than plasma drug levels / Gred Hodge ... [et al.] -- Measurement of intracellular cytokines to improve therapeutic monitoring of immunosuppressive drugs following lung transplantation / Greg Hodge ... [et al.]. 330 $aLung transplantation (LT) is the only definitive treatment for many forms of end-stage pulmonary diseases. However, its success is limited by several factors including organ infection/disease, acute rejection and chronic allograft dysfunction. Progresses made in patient selection, surgical techniques as well as in therapeutic management (immunosuppressive regimes) have led to a growing increase in the one-year survival rates up to 75%, however, the 5-year survival rate following LT remains only approximately 50%. This book presents research in the study of lung transplantation, including primary graft dysfunction in lung transplantation; the impact of viral pathogens in lung transplant patients; neurologic complications of lung transplantation; intensive care management of the lung transplantation patient and the surgical issues facing lung transplant surgeons. 410 0$aOrgan Transplantation Research Horizons 606 $aLungs$xTransplantation 606 $aLungs$xDiseases$xTreatment 615 0$aLungs$xTransplantation. 615 0$aLungs$xDiseases$xTreatment. 676 $a617.5/42 701 $aFerguson$b Richard D.$f1953-$01871385 701 $aHolmer$b Craig A$01871386 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910960620403321 996 $aLung transplantation$94480197 997 $aUNINA