LEADER 00978nam0-2200301 --450 001 9910268630803321 005 20180531135218.0 010 $a978-88-498-4739-0 020 $aIT$b2016-7935 100 $a20180531d2016----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $a 001yy 200 1 $aIdentità fragile e integrazione difficile$edieci conversazioni sull'Italia e sull'Europa$fa cura di Giuseppe Farese$gpresentazione di Aldo Cazzullo 210 $aSoveria Mannelli$cRubbettino$d2016 215 $a86 p.$d20 cm 225 1 $aProblemi aperti$v205 610 0 $aSovranità$aEffetti [della] Globalizzazione 676 $a320.15$v23$zita 702 1$aFarese,$bGiuseppe$f<1977-> 702 1$aCazzullo,$bAldo 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910268630803321 952 $aCOLLEZ. 1858 (205)$b322/2018$fFSPBC 959 $aFSPBC 996 $aIdentità fragile e integrazione difficile$91505297 997 $aUNINA LEADER 03692nam 2200649Ia 450 001 9910465478503321 005 20200520144314.0 010 $a1-283-59368-8 010 $a9786613906137 010 $a981-4355-65-8 035 $a(CKB)2560000000093357 035 $a(EBL)1019614 035 $a(OCoLC)809762005 035 $a(SSID)ssj0000682437 035 $a(PQKBManifestationID)12294763 035 $a(PQKBTitleCode)TC0000682437 035 $a(PQKBWorkID)10678891 035 $a(PQKB)10874946 035 $a(MiAaPQ)EBC1019614 035 $a(WSP)00002759 035 $a(Au-PeEL)EBL1019614 035 $a(CaPaEBR)ebr10596929 035 $a(CaONFJC)MIL390613 035 $a(EXLCZ)992560000000093357 100 $a20110929d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aClimate change policy failures$b[electronic resource] $ewhy conventional mitigation approaches cannot succeed /$fHoward A. Latin 210 $aHackensack, NJ ;$aSingapore $cWorld Scientific$dc2012 215 $a1 online resource (268 p.) 300 $aDescription based upon print version of record. 311 $a981-4355-64-X 320 $aIncludes bibliographical references and index. 327 $aContents; Acknowledgments; Chapter I Introduction: Challenging the Consensus; Chapter II "Reducing the Increases" in the Atmospheric GHG Concentration; Persistent GHG Discharges; Natural and Human-Made "Sinks"; Reducing the Growth Rate of GHGs in the Atmosphere; The Two Degrees Celsius Non-Solution; Chapter III Economic Incentive Programs; Cap-and-Trade Systems; Carbon Offset Programs; Voluntary Offset Programs; Offsets as Part of National Emissions-Reduction Programs; International Offsets and the Clean Development Mechanism; Carbon Taxes, Fees, or Charges 327 $aChapter IV The Stalemate in International NegotiationsArguments Supporting the South's Positions; Arguments Supporting the North's Positions; The Durban Platform for Enhanced Action; Identifying a Potential Solution; Chapter V Overlapping Institutional Responsibilities; Adopting Initial or Interim Mitigation Measures; The Clean Technology Commission and Development Fund; A Progressively Increasing Carbon Tax; "Technology-Based" Regulations in High-Pollution Sectors; Mandatory GHG-Pollution Disclosure Programs; Chapter VI Conclusion; Endnotes; Index 330 $aAt the recent UN Climate Change Conferences in Copenhagen, Cancun and Durban, the developed nations promised hundreds of billions of dollars in financial aid to help developing countries overcome global climate change dangers. The developed nations will need to spend many more billions to limit their own greenhouse gas pollution, the main cause of global warming and climate change. Will all this money and effort be wasted? This book argues that nearly all of the world's climate policy makers and expert advisors have been making tragic mistakes that ensure the failures of climate change mitigat 606 $aClimatic changes$xEconomic aspects 606 $aClimatic changes$xGovernment policy 606 $aGreenhouse gases 606 $aClimate change mitigation 608 $aElectronic books. 615 0$aClimatic changes$xEconomic aspects. 615 0$aClimatic changes$xGovernment policy. 615 0$aGreenhouse gases. 615 0$aClimate change mitigation. 676 $a363.738/74561 700 $aLatin$b Howard A$0872392 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910465478503321 996 $aClimate change policy failures$91947671 997 $aUNINA LEADER 12630nam 22007455 450 001 996538664803316 005 20230628162810.0 010 $a3-031-34960-1 024 7 $a10.1007/978-3-031-34960-7 035 $a(MiAaPQ)EBC30611288 035 $a(Au-PeEL)EBL30611288 035 $a(DE-He213)978-3-031-34960-7 035 $a(PPN)272259500 035 $a(EXLCZ)9927279097400041 100 $a20230628d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBioinformatics and Biomedical Engineering$b[electronic resource] $e10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12?14, 2023, Proceedings, Part II /$fedited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (520 pages) 225 1 $aLecture Notes in Bioinformatics,$x2366-6331 ;$v13920 311 08$aPrint version: Rojas, Ignacio Bioinformatics and Biomedical Engineering Cham : Springer International Publishing AG,c2023 9783031349591 327 $aIntro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Feature Selection, Extraction, and Data Mining in Bioinformatics -- Agent Based Modeling of Fish Shoal Behavior -- 1 Introduction -- 2 Modeling -- 3 Methods -- 3.1 Multi agents Based Modeling and Simulation -- 4 Results and Discussion -- References -- Entropy Approach of Processing for Fish Acoustic Telemetry Data to Detect Atypical Behavior During Welfare Evaluation -- 1 Introduction -- 1.1 Biotelemetry -- 1.2 Fish Welfare -- 2 Dataset -- 3 Methods -- 4 Results -- 5 Conclusion -- References -- Determining HPV Status in Patients with Oropharyngeal Cancer from 3D CT Images Using Radiomics: Effect of Sampling Methods -- 1 Introduction -- 2 Material and Methods -- 2.1 Data Set -- 2.2 Image Pre-processing -- 2.3 Feature Extraction -- 2.4 Data Pre-processing and Resampling -- 2.5 Feature Selection -- 2.6 Model Training and Evaluation -- 3 Results -- 3.1 Data Pre-processing and Resampling -- 3.2 Feature Extraction -- 3.3 Feature Selection -- 3.4 Performance Evaluation -- 4 Discussion -- 5 Conclusion -- References -- MetaLLM: Residue-Wise Metal Ion Prediction Using Deep Transformer Model -- 1 Introduction -- 2 Methodology -- 2.1 MetaLLM: Residue-Wise Metal Ion Prediction -- 3 Experiments and Results -- 3.1 Experimental Details -- 3.2 Result Analysis -- 4 Conclusion -- References -- Genome-Phenome Analysis -- Prediction of Functional Effects of Protein Amino Acid Mutations -- 1 Introduction -- 2 Methods -- 2.1 nsSNV Datasets -- 2.2 Protein Mutation Prediction Methodology: The Holdout- nsSNV Algorithm -- 2.3 Consensus Holdout Training and Selection -- 2.4 Extreme Learning Machine -- 2.5 Random Forests -- 3 Results -- 4 Conclusions and Future Directions -- References -- Optimizing Variant Calling for Human Genome Analysis: A Comprehensive Pipeline Approach -- 1 Introduction. 327 $a2 Background -- 3 Methods -- 3.1 Reference -- 3.2 Dataset -- 3.3 Quality and Control -- 3.4 Pipeline -- 3.5 Workflow Management and Reproducibility -- 3.6 Benchmarking -- 3.7 Computational Resources -- 4 Results -- 4.1 Different Methods Performance -- 4.2 Computational Time -- 5 Discussion -- 6 Conclusion -- References -- Healthcare and Diseases -- Improving Fetal Health Monitoring: A Review of the Latest Developments and Future Directions -- 1 Introduction -- 2 Methods -- 2.1 Study Design -- 2.2 Search Strategy -- 2.3 Inclusion Criteria -- 2.4 Selection of Studies -- 2.5 Data Analysis -- 3 Result -- 4 Discussion -- 4.1 The Development of Monitoring Devices for Fetal Well-Being -- 4.2 Algorithm for More Accurate Maternal-Fetal FHR Filtering -- 4.3 Fetal Well-Being Indicators -- 4.4 Target Users -- 5 Conclusion -- References -- Deep Learning for Parkinson's Disease Severity Stage Prediction Using a New Dataset -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Acquisition -- 3.2 Dataset Construction -- 3.3 Data Pre-processing -- 3.4 Proposed LSTM Model -- 4 Experiments -- 5 Conclusion -- References -- Improved Long-Term Forecasting of Emergency Department Arrivals with LSTM-Based Networks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition -- 2.2 Exploration -- 2.3 Analysis Techniques -- 3 Results -- 4 Conclusion -- References -- High-Throughput Genomics: Bioinformatic Tools and Medical Applications -- Targeted Next Generation Sequencing of a Custom Capture Panel to Target Sequence 112 Cancer Related Genes in Breast Cancer Tumors ERBB2 Positive from Lleida (Spain) -- 1 Introduction -- 2 Methods -- 2.1 Breast Cancer Samples -- 2.2 Targeted Sequencing -- 2.3 Data Analysis -- 3 Results -- 3.1 Targeted Sequencing -- 3.2 Gene Signatures -- 4 Discussion -- References. 327 $aAn Accurate Algorithm for Identifying Mutually Exclusive Patterns on Multiple Sets of Genomic Mutations -- 1 Introduction -- 2 Method -- 2.1 Similarity and Mutual Exclusion Measure -- 2.2 Weighted Probability Search -- 2.3 Algorithm Steps -- 3 Discussion -- 3.1 ME Simulation Principle and Evaluation of Result -- 3.2 The Result and Analysis of ME Simulation Experiment -- 3.3 Ms Simulation Data -- 3.4 Real Datasets -- 4 Comparative Experiments and Results -- 5 Conclusion -- References -- A 20-Year Journey of Tracing the Development of Web Catalogues for Rare Diseases -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Implementation -- 3.2 Relationship Between Data Sources -- 3.3 Semantic Structure -- 3.4 Data Readers -- 4 Results -- 5 Discussion -- 6 Conclusions -- References -- Unsupervised Investigation of Information Captured in Pathway Activity Score in scRNA-Seq Analysis -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition and Pre-processing -- 2.2 Tested Pathway Activity Transformation Algorithms -- 2.3 Algorithm's Evaluation -- 3 Results -- 3.1 Cell Type Separation -- 3.2 Clustering Accuracy -- 3.3 Biological Validation -- 4 Conclusions -- References -- Meta-analysis of Gene Activity (MAGA) Contributions and Correlation with Gene Expression, Through GAGAM -- 1 Introduction -- 2 Background -- 2.1 Single-Cell Sequencing Technologies -- 2.2 GAGAM -- 3 Meta-analysis -- 3.1 Peaks Information -- 3.2 Activity-Expression Correlation -- 3.3 Activity-Expression Coherence -- 3.4 Conclusions -- References -- Predicting Papillary Renal Cell Carcinoma Prognosis Using Integrative Analysis of Histopathological Images and Genomic Data -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Overview -- 2.2 Histopathological Image Processing -- 2.3 Gene Coexpression Analysis -- 2.4 Risk Categorization -- 2.5 Prognosis Prediction Model. 327 $a3 Results -- 3.1 Patient Characteristics -- 3.2 Prognosis-related Image Features and Co-expression Gene Module Selection -- 3.3 Enrichment Analysis of the Key Gene Modules -- 3.4 Construction and Evaluation of the Integrative Prognostic Model -- 4 Discussion and Conclusion -- References -- Image Visualization and Signal Analysis -- Medical X-ray Image Classification Method Based on Convolutional Neural Networks -- 1 Introduction -- 2 Image Classification Optimization -- 3 Segmentaion of X-ray Image -- 3.1 Conventional Diagnostics and Segmentation Data -- 3.2 Creating and Training a Segmenting Convolutional Network -- 4 Image Reduction and Neural Network Training -- 4.1 Generating of Segmented Images -- 4.2 Active Regions Computation -- 4.3 Analysis of the Segmented Image -- 4.4 Image Reduction -- 4.5 Training of a Classifying Convolutional Neural Network -- 5 Experimental Results and Discussion -- 6 Conclusion -- References -- Digital Breast Tomosynthesis Reconstruction Techniques in Healthcare Systems: A Review -- 1 Introduction -- 2 Tomosynthesis Technology for Breast Imaging -- 2.1 The Advantages of Tomosynthesis Compared to 2D Mammography -- 3 Methods of Reconstruction Phase -- 3.1 The Importance of the Reconstruction Phase in CAD Systems -- 3.2 Back-Projection Algorithms -- 3.3 Transform Algorithms -- 3.4 Algebraic Reconstruction Techniques -- 3.5 Statistical Reconstruction Techniques -- 4 Analysis and Discussions -- 5 Conclusion and Future Works -- References -- BCAnalyzer: A Semi-automated Tool for the Rapid Quantification of Cell Monolayer from Microscopic Images in Scratch Assay -- 1 Introduction -- 2 Materials and Methods -- 2.1 Sample Images Used for the Algorithm Demonstration -- 2.2 Image Set for a Systematic Algorithm Performance Validation -- 3 Software Implementation -- 4 Results and Discussion. 327 $a4.1 Prominent Examples of Cell Scratch Assay Analysis for Different Cell Lines -- 4.2 Systematic Algorithm Validation Using Previously Reported Reference Image Sets -- 5 Conclusion -- References -- Color Hippocampus Image Segmentation Using Quantum Inspired Firefly Algorithm and Merging of Channel-Wise Optimums -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Method -- 4 Experimental Setup -- 5 Result and Analysis -- 6 Conclusion -- References -- Breast Cancer Histologic Grade Identification by Graph Neural Network Embeddings -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 The Used Datasets -- 3.2 Graph Neural Networks -- 3.3 Graph Construction -- 3.4 Experimental Setup -- 4 Results -- 5 Ablation Study -- 6 Conclusions -- References -- A Pilot Study of Neuroaesthetics Based on the Analysis of Electroencephalographic Connectivity Networks in the Visualization of Different Dance Choreography Styles -- 1 Introduction -- 2 Methods of Data Recording and Analysis -- 2.1 Experimental Paradigm -- 2.2 Processing and Analysis Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Machine Learning in Bioinformatics and Biomedicine -- Ethical Dilemmas, Mental Health, Artificial Intelligence, and LLM-Based Chatbots -- 1 Introduction -- 2 Methodology -- 3 Data Extraction and Analysis Procedure -- 4 Results -- 5 Ethical Analysis -- 6 Conclusions -- 7 LLM Chatbots, Quality of Care, Responsible Research, and Development in Mental Health -- 8 Access, Exclusion, and User Dependence on Chatbots -- 9 Responsibility and Human Supervision of Chatbots -- 10 Regulation and Chatbot Usage Policies -- 11 Limitations of the Present Review -- References -- Cyclical Learning Rates (CLR'S) for Improving Training Accuracies and Lowering Computational Cost -- 1 Introduction -- 2 Experimental Results and Analysis. 327 $a2.1 Data Collection, Preprocessing, Model Architecture, and Learning Rates. 330 $aThis volume constitutes the proceedings of the 10th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 12-14, 2022. The total of 79 papers presented in the proceedings, was carefully reviewed and selected from 209 submissions. The papers cove the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine. 410 0$aLecture Notes in Bioinformatics,$x2366-6331 ;$v13920 606 $aBioinformatics 606 $aBiomedical engineering 606 $aComputer networks 606 $aEngineering?Data processing 606 $aBioinformatics 606 $aComputational and Systems Biology 606 $aBiomedical Engineering and Bioengineering 606 $aComputer Communication Networks 606 $aData Engineering 615 0$aBioinformatics. 615 0$aBiomedical engineering. 615 0$aComputer networks. 615 0$aEngineering?Data processing. 615 14$aBioinformatics. 615 24$aComputational and Systems Biology. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aComputer Communication Networks. 615 24$aData Engineering. 676 $a570.285 700 $aRojas$b Ignacio$01299449 701 $aValenzuela$b Olga$01351104 701 $aRojas Ruiz$b Fernando$01369706 701 $aHerrera$b Luis Javier$01351106 701 $aOrtuño$b Francisco$01369707 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996538664803316 996 $aBioinformatics and Biomedical Engineering$93396448 997 $aUNISA