01309nam0-2200337---450-99000845271040332120070118124400.0000845271FED01000845271(Aleph)000845271FED0100084527120070118d2004----km-y0itay50------baengITa---a---001yyStudies on the Early Paleolithic site of Melka Kunture,Ethiopiaedited by Jean Chavaillon and Marcello PipernoFlorenceIstituto Italiano di Preistoria Protostoria2004735 p.ill.30 cmin allegato 29 tavoleOriginesIn testa al front.:Ministry of Foreign Affairs, University of Rome "La Sapienza", Department of Historical, Archaeological and Anthropolical Science of Antiquity, Italian Istitute of Prehistory and Protohistory, CNRS, Alvernia and Aquitania RegionsArcheologiaScaviMelka Kunture939.78Chavaillon,JeanPiperno,Marcello<1945- >ITUNINARICAUNIMARCBK990008452710403321939.78 CHA 1Bibl.55088FLFBCFLFBCStudies on the Early Paleolithic site of Melka Kunture,Ethiopia728332UNINA04582nam 22006255 450 991048454320332120200701065934.01-78402-690-53-642-16483-810.1007/978-3-642-16483-5(CKB)2670000000125788(SSID)ssj0000595577(PQKBManifestationID)11392084(PQKBTitleCode)TC0000595577(PQKBWorkID)10555534(PQKB)10519830(DE-He213)978-3-642-16483-5(MiAaPQ)EBC3067493(PPN)157510727(EXLCZ)99267000000012578820111102d2011 u| 0engurnn#008mamaatxtccrEncyclopedia of Cancer[electronic resource] /edited by Manfred Schwab3rd ed. 2011.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2011.1 online resource (eReference.)Springer reference Encyclopedia of cancerTwo columns to the page.3-642-16484-6 3-642-16482-X Includes bibliographical references.v. 1. A-B -- v. 2. C -- v. 3. D-G -- v. 4. H-L -- v. 5. M-O -- v. 6. P-R -- v. 7. S-Z.The merging of different basic and clinical science disciplines towards the common goal of fighting against cancer has long ago called for the establishment of a comprehensive reference source both as a tool to close the language gap between clinical and basic science investigators and as a platform of information for students and informed laymen alike. The Encyclopedia of Cancer provides rapid access to focused information on all topics of cancer research for clinicians, research scientists and advanced students. Given the overwhelming success of the Second Edition, which appeared in 2009, and fast recent development in the different fields of cancer research, it has been decided to publish a third fully revised and expanded edition, following the principal concept of the first edition that has proven so successful. Recent developments are seeing a dynamic progress in basic and clinical cancer science, with translational research increasingly becoming a new paradigm in cancer research. In particular, new approaches to both Personalized Cancer Medicine and Targeted Therapies have made promising progress. While the Second Edition featured scholarly contributions from approximately 1.000 scientists/clinicians in four Volumes, the Third Edition includes 1.300 contributors in 7 Volumes with an A-Z format of approx. 7000 entries. It provides definitions of common acronyms and short definitions of related terms and processes in the form of keyword entries. In addition, there are detailed essays, which provide comprehensive information on syndromes, genes and molecules, and processes and methods. Each essay is well-structured, with extensive cross-referencing between all entries. In the Third Edition, topical Essays present a comprehensive picture of major cancers, such as Breast Cancer, Colorectal Cancer, Prostate Cancer, Ovarian Cancer, Renal Cancer, Lung Cancer, and Hematological Maligancies, Leukemias and Lymphomas. For each of these cancers, different authoritative  Essays are included that cover topics ranging from Pathology, to Clinical Oncology and Targeted Therapies. This new feature should meet the expectance that a wide community has towards a major cancer reference works. The Encyclopedia of Cancer will be accessible both in print and online, and this information source should be of value to both the clinical and basic scientific community as well as to the public.Cancer researchMolecular biologyOncology  Cancer Researchhttps://scigraph.springernature.com/ontologies/product-market-codes/B11001Molecular Medicinehttps://scigraph.springernature.com/ontologies/product-market-codes/B1700XOncologyhttps://scigraph.springernature.com/ontologies/product-market-codes/H33160Cancer research.Molecular biology.Oncology  .Cancer Research.Molecular Medicine.Oncology.616.99/4003Schwab Manfrededthttp://id.loc.gov/vocabulary/relators/edtBOOK9910484543203321Encyclopedia of Cancer1999920UNINA06371nam 22008175 450 991072839970332120251107160349.09783031333804303133380210.1007/978-3-031-33380-4(MiAaPQ)EBC30552975(Au-PeEL)EBL30552975(OCoLC)1380721799(DE-He213)978-3-031-33380-4(BIP)091206008(PPN)270612319(CKB)26784776300041(EXLCZ)992678477630004120230526d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in Knowledge Discovery and Data Mining 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part III /edited by Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (419 pages)Lecture Notes in Artificial Intelligence,2945-9141 ;13937Print version: Kashima, Hisashi Advances in Knowledge Discovery and Data Mining Cham : Springer,c2023 9783031333798 Includes bibliographical references and index.Big data -- Toward Explainable Recommendation Via Counterfactual Reasoning -- Online Volume Optimization for Notifications via Long Short-Term Value Modeling -- Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases -- Financial data -- Joint Latent Topic Discovery and Expectation Modeling for Financial Markets -- Let the model make financial senses: a Text2Text generative approach for financial complaint identification -- Information retrieval and search -- Web-scale Semantic Product Search With Large Language Models -- Multi-task learning based Keywords weighted Siamese Model for semantic retrieval -- Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion -- MFBE: Leveraging Multi-Field Information of FAQs for Efficient Dense Retrieval -- Isotropic Representation Can Improve Dense Retrieval -- Knowledge-Enhanced Prototypical Network with Structural Semantics forFew-Shot Relation Classification -- Internet of Things -- MIDFA : Memory-Based Instance Division and Feature Aggregation Network for Video Object Detection -- Medical and biological data -- Vision Transformers for Small Histological Datasets learned through Knowledge Distillation -- Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis -- DKFM: Dual Knowledge-guided Fusion Model for Drug Recommendation -- Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge -- Multimedia and multimodal data -- An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance -- Dynamically-Scaled Deep Canonical Correlation Analysis -- TCR: Short Video Title Generation and Cover Selection with Attention Refinement -- ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval -- Recommender systems -- Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations -- Interest Driven Graph Structure Learning for Session-Based Recommendation -- Multi-behavior Guided Temporal Graph Attention Network for Recommendation -- Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation -- Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities -- Global-Aware External Attention Deep Model for Sequential Recommendation -- Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-aware Reranking -- Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation -- kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval -- Staying or Leaving: A Knowledge-Enhanced User Simulator for Reinforcement Learning Based Short Video Recommendation -- RLMixer: A Reinforcement Learning Approach For Integrated Ranking With Contrastive User Preference Modeling.The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023. The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.Lecture Notes in Artificial Intelligence,2945-9141 ;13937Artificial intelligenceAlgorithmsEducationData processingComputer scienceMathematicsComputer visionComputer engineeringComputer networksArtificial IntelligenceDesign and Analysis of AlgorithmsComputers and EducationMathematics of ComputingComputer VisionComputer Engineering and NetworksArtificial intelligence.Algorithms.EducationData processing.Computer scienceMathematics.Computer vision.Computer engineering.Computer networks.Artificial Intelligence.Design and Analysis of Algorithms.Computers and Education.Mathematics of Computing.Computer Vision.Computer Engineering and Networks.060Kashima HisashiIde TsuyoshiPeng Wen-ChihMiAaPQMiAaPQMiAaPQBOOK9910728399703321Advances in Knowledge Discovery and Data Mining772012UNINA