LEADER 03513nam 22006495 450 001 9910298296403321 005 20260415134347.0 010 $a3-7091-1824-7 024 7 $a10.1007/978-3-7091-1824-5 035 $a(CKB)3710000000342464 035 $a(EBL)1966151 035 $a(SSID)ssj0001424637 035 $a(PQKBManifestationID)11784579 035 $a(PQKBTitleCode)TC0001424637 035 $a(PQKBWorkID)11383642 035 $a(PQKB)11234142 035 $a(DE-He213)978-3-7091-1824-5 035 $a(MiAaPQ)EBC1966151 035 $a(PPN)183516745 035 $a(EXLCZ)993710000000342464 100 $a20150119d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aTumor Cell Metabolism $ePathways, Regulation and Biology /$fedited by Sybille Mazurek, Maria Shoshan 205 $a1st ed. 2015. 210 1$aVienna :$cSpringer Vienna :$cImprint: Springer,$d2015. 215 $a1 online resource (371 p.) 300 $aDescription based upon print version of record. 311 08$a3-7091-1823-9 320 $aIncludes bibliographical references at the end of each chapters. 327 $aMetabolic Remodeling in Bioenergetic Disorders and Cancer -- Tumor Cell Complexity and Metabolic Flexibility -- Autophagy and Tumor Cell Metabolism.-Tumour Hypoxia and the Hypoxia-Inducible Transcription -- MYC Regulation of Metabolism and Cancer -- Pyruvate Kinase M2: A Metabolic Tuner -- Role of the Pentose Phosphate Pathway in Tumour Metabolism -- Enzymes of the Tumour Metabolome in Diagnostic Applications -- Contribution of pH Alterations to the Tumor Microenvironment -- Mitochondrial Mutations in Cancer Progression: Causative, Bystanders, or Modifiers of Tumorigenesis? The Relevance of the Mitochondrial H+-ATP Synthase -- Canceromics Studies Unravel Tumor?s Glutamine Addiction -- Essential Role of Mitochondria in Pyrimidine Metabolism -- Metabolic Fluxes in Cancer Metabolism -- Targeted 13C-Labeled Tracer Fate Associations for Drug Efficacy Testing in Cancer. 330 $aThe four sections of this book cover cell and molecular biology of tumor metabolism, metabolites, tumor microenvironment, diagnostics and epigenetics. Written by international experts, it provides a thorough insight into and understanding of tumor cell metabolism and its role in tumor biology. The book is intended for scientists in cancer cell and molecular biology, scientists in drug and diagnostic development, as well as for clinicians and oncologists. 606 $aCancer$xResearch 606 $aMolecular biology 606 $aOncology 606 $aCancer Research$3https://scigraph.springernature.com/ontologies/product-market-codes/B11001 606 $aMolecular Medicine$3https://scigraph.springernature.com/ontologies/product-market-codes/B1700X 606 $aOncology$3https://scigraph.springernature.com/ontologies/product-market-codes/H33160 615 0$aCancer$xResearch. 615 0$aMolecular biology. 615 0$aOncology. 615 14$aCancer Research. 615 24$aMolecular Medicine. 615 24$aOncology. 676 $a610 676 $a611.01816 676 $a614.5999 676 $a616994 702 $aMazurek$b Sybille$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aShoshan$b Maria$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910298296403321 996 $aTumor Cell Metabolism$92508864 997 $aUNINA LEADER 07774nam 22006375 450 001 9910698649403321 005 20260605212012.0 010 $a9783031301117$b(electronic bk.) 024 7 $a10.1007/978-3-031-30111-7 035 $a(MiAaPQ)EBC7236633 035 $a(Au-PeEL)EBL7236633 035 $a(OCoLC)1376446043 035 $a(DE-He213)978-3-031-30111-7 035 $a(PPN)26965514X 035 $a(CKB)26435306400041 035 $a(EXLCZ)9926435306400041 100 $a20230412d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeural Information Processing $e29th International Conference, ICONIP 2022, Virtual Event, November 22?26, 2022, Proceedings, Part III /$fedited by Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (756 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13625 311 08$aPrint version: Tanveer, Mohammad Neural Information Processing Cham : Springer International Publishing AG,c2023 9783031301100 320 $aIncludes bibliographical references and index. 327 $aApplications -- A Comparative Analysis of Loss Functions for Handling Foreground-Background Imbalance in Image Segmentation -- Electron Microscopy Image Registration with Transformers -- Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network -- A Measurement-Based Quantum-Like Language Model for Text Matching -- Virtual Try-On via Matching Relation with Landmark -- WINMLP:Quantum&Involution Inspire False Positive Reduction In Lung Nodule Detection -- Incorporating Generation Method and Discourse Structure to Event Coreference Resolution -- CCN: Pavement Crack Detection With Context Contrasted Net -- Spatial and Temporal Guidance for Semi-supervised Video Object Segmentation -- A Hybrid Framework based on Classifier Calibration for Imbalanced Aerial Scene Recognition -- Enhancing BERT for Short Text Classification with Latent Information -- Unsupervised Anomaly Segmentation for Brain Lesions using Dual Semantic-Manifold Reconstruction -- Transformer Based High-frequency Predictive Model for Visual-haptic Feedback of Virtual Surgery Navigation -- Hierarchical Multimodal Attention Network Based on Semantically Textual Guidance for Video Captioning -- Autism Spectrum Disorder Classification of Facial Images using Xception Model and Transfer Learning with Image Augmentation -- A Comprehensive Vision-based Model for Commercial Truck Driver Fatigue Detection -- Automatic Identification of Class Level Refactoring using Abstract Syntax Tree and Embedding Technique -- Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning -- Detecting and Mitigating Backdoor Attacks with Dynamic and Invisible Triggers -- NAS-StegNet: Lightweight Image Steganography Networks via Neural Architecture Search -- FIT: Frequency-based Image Translation for Domain Adaptive Object Detection -- Single Image Dehazing Using Frequency Attention -- A Recurrent Point Clouds Selection Method for 3D Dense Captioning -- Multi-domain Feature Fusion Neural Network for Electrocardiogram Classification -- Graph-based Contextual Attention Network for Single Image Deraining -- ADTR: Anomaly Detection Transformer with Feature Reconstruction -- SCIEnt: A Semantic-feature-based Framework for Core Information Extraction from Web Pages -- Hierarchical down-sampling based ultra high-resolution image inpainting -- Vision Transformer With Depth Auxiliary Information For Face Anti-spoofing -- Dynamically Connected Graph Representation For Object Detection -- Multi-Class Anomaly Detection -- Understanding Graph and Understanding Map and their Potential Applications -- BBSN: Bilateral-Branch Siamese Network for Imbalanced Multi-label Text Classification -- Deep Hierarchical Semantic Model for Text Matching -- Multimodal Neural Network For Demand Forecasting -- Image Super-Resolution Based on Adaptive Feature Fusion Channel Attention -- SGFuion:Camera-LiDAR Semantic and Geometric Fusion for 3D Object Detection -- SATNet: Captioning with Semantic Alignment and Feature Enhancement -- Halyomorpha Halys Detection Using Efficient Neural Networks -- HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images -- In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers -- Relation-guided Dual Hash Network for Unsupervised Cross-Modal Retrieval -- Prompt-Based Learning for Aspect-Level Sentiment Classification -- Multi-Knowledge Embeddings Enhanced Topic Modeling for Short Texts -- Adaptive early classification of time series using deep learning -- Introducing Multi-modality in Persuasive Task Oriented Virtual Sales Agent -- Low Dose CT Image Denoising Using Efficient Transformer With SimpleGate Mechanism -- iResSENet: An Accurate Convolutional Neural Network for Retinal Blood Vessel Segmentation -- Evolutionary Action Selection for Gradient-based Policy Learning -- Building Conversational Diagnosis Systems for Fine-grained Diseases using Few Annotated Data -- Towards Improving EEG-based Intent Recognition in Visual SearchTasks -- RVFL Classifier based Ensemble Deep Learning for Early Diagnosis of Alzheimer?s Disease -- Anatomical Landmarks Localization for 3D Foot Point Clouds -- Impact of the composition of feature extraction and class sampling in medicare fraud detection -- A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization -- FaceMix: Transferring local regions for data augmentation in face recognition -- Permissioned Blockchain-based XGBoost for Multi Banks Fraud Detection -- Rethinking Image Inpainting with Attention Feature Fusion -- Towards Accurate Alignment and Sufficient Context in Scene Text Recognition. 330 $aThe three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22?26, 2022. The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13625 606 $aPattern recognition systems 606 $aData mining 606 $aMachine learning 606 $aSocial sciences$xData processing 606 $aAutomated Pattern Recognition 606 $aData Mining and Knowledge Discovery 606 $aMachine Learning 606 $aComputer Application in Social and Behavioral Sciences 615 0$aPattern recognition systems. 615 0$aData mining. 615 0$aMachine learning. 615 0$aSocial sciences$xData processing. 615 14$aAutomated Pattern Recognition. 615 24$aData Mining and Knowledge Discovery. 615 24$aMachine Learning. 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a006.3 702 $aTanveer$b Mohammad 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910698649403321 996 $aNeural Information Processing$92554499 997 $aUNINA LEADER 03695nam 22006253a 450 001 9910321955903321 005 20250203235513.0 010 $a9789463728829 010 $a9463728821 024 7 $a10.5117/9789463728829 035 $a(CKB)4100000008169010 035 $a(OAPEN)1004972 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/31258 035 $a(ScCtBLL)09d200a9-ad94-4520-93a2-5799c5aaa2b5 035 $a(OCoLC)1105803863 035 $a(oapen)doab31258 035 $a(oapen)31258 035 $a(EXLCZ)994100000008169010 100 $a20250203i20192020 uu 101 0 $adut 135 $auuuuu---auuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aGelijke kansen in de stad$fHerman Van De Werfhorst 210 $aAmsterdam$cAmsterdam University Press$d2019 210 1$aAmsterdam :$cAmsterdam University Press,$d2019. 215 $a1 online resource (241) 311 08$a9789048550890 311 08$a9048550890 330 $aSociale gelijkheid is goed voor iedereen. Het vormt een buffer tegen drugsgebruik, criminaliteit, gezondheidsproblemen (lichamelijk én psychisch) en wantrouwen (van mensen jegens elkaar en de gemeenschap). Streven naar meer gelijkheid is dan ook geen filantropische onderneming, maar een zinvolle en noodzakelijke activiteit om het welzijn van anderen én van onszelf te verbeteren. Sociale ongelijkheid is een complex vraagstuk. Wetenschappelijk inzicht, opgebouwd over een langere tijd en vanuit meerdere perspectieven, is onontbeerlijk voor structurele oplossingen. De Universiteit van Amsterdam (UvA) heeft een brede expertise op dit terrein. Ongelijkheid is een speerpunt in het onderzoek. Het Amsterdam Centre for Inequality Studies, verbonden aan de sociale faculteit van de UvA, combineert wetenschappelijke expertise op dit gebied met maatschappelijk engagement. Onderzoekers van verschillende disciplines werken er samen om greep te krijgen op het ontstaan én het voorkomen van ongelijkheid. De hoofdstukken in deze bundel laten hiervan mooie voorbeelden zien. De auteurs presenteren niet alleen wat ze al weten, maar formuleren ook nieuwe kennisvragen. In de verschillende bijdragen staan grootstedelijke vraagstukken centraal: over wonen, mobiliteit, duurzaamheid, onderwijs, radicalisering en arbeidsparticipatie. De casussen komen vaak uit Amsterdam, maar zijn mondiaal relevant, ze spelen in alle wereldsteden. Hoe stimuleren we een bloeiende creatieve economie en houden we tegelijkertijd de middenklasse en de laaggeschoolden in de stad? Hoe ontwikkelen we de stad met oog voor ongelijkheid tussen bevolkingsgroepen in zowel (woon) ruimte als inkomen? Hoe doen we dat op een duurzame manier? Hoe maken we slim en verantwoord gebruik van kunstmatige intelligentie? 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