LEADER 02588oam 2200493 450 001 9910156453703321 005 20190911112721.0 035 $a(OCoLC)969173915 035 $a(MiFhGG)GVRL98HN 035 $a(EXLCZ)993710000000971360 100 $a20161102h20172017 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCrunch time $ehow to be your best when it matters most /$fRick Peterson, Director of Pitching Development for the Baltimore Orioles and Pitching Coach for the Oakland Athletics during the Moneyball Era, Judd Hoekstra, Coauthor of the bestselling Leading at a higher level and Who killed change? and Vice President, The Ken Blanchard Companies ; foreword by Billy Beane, Executive Vice President of Baseball Operations, Oakland Athletics 205 $aFirst edition. 210 1$aOakland, California :$cBerrett-Koehler Publishers, Incorporated,$d[2017] 210 4$d?2017 215 $a1 online resource (xviii, 175 pages) $cillustrations 225 1 $aBK business book 225 0 $aGale eBooks 311 $a1-62656-769-7 311 $a1-62656-770-0 320 $aIncludes bibliographical references and index. 327 $aCover -- Half Title -- Title -- Copyright -- Dedication -- Table of Contents -- Preface -- Foreword -- Introduction: Rick and Izzy -- 1 Reframing-The Shortest Path from Threat to Opportunity -- 2 Why Reframing at Crunch Time Is Necessary -- 3 Reframing from Trying Harder to Trying Easier -- 4 Reframing from Tension to Laughter -- 5 Reframing from Anxiety to Taking Control -- 6 Reframing from Doubt to Confidence -- 7 Reframing from Failure to a Learning Moment -- 8 Reframing from Prepared to Overprepared -- A: Index of Stories -- B: Try This -- Acknowledgments -- About the Authors -- Endnotes -- Index. 330 $aThis book proposes a technique of functioning under intense pressure that turns the situation from a threat to an opportunity for success. Examples are given of how elite athletes perform their best under pressure. 410 0$aBK business book. 606 $aStress (Psychology) 606 $aSelf-confidence 606 $aSelf-control 615 0$aStress (Psychology) 615 0$aSelf-confidence. 615 0$aSelf-control. 676 $a155.9/042 700 $aPeterson$b Rick$01201925 702 $aHoekstra$b Judd$f1970- 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910156453703321 996 $aCrunch Time$92786267 997 $aUNINA LEADER 01305nam0 22002891i 450 001 UON00294247 005 20231205103935.230 010 $a08-599-1164-0 100 $a20070507d1984 |0itac50 ba 101 $aeng 102 $aGB 105 $a||||c ||||| 200 1 $aˆThe ‰Index of Middle English Prose. Handlist I.: a handlist of manuscripts containing Middle English Prose in the Henry E. Huntington Library$fRalph Hanna 210 $aCambridge$cD.S. Brewer$d1984 215 $a81 p.$d28 cm. 606 $aLETTERATURA NARRATIVA INGLESE$xManoscritti$xSec. 12.-16.$xIndici$3UONC064049$2FI 606 $aMANOSCRITTI INGLESI$xIndici$3UONC064050$2FI 620 $dCambridge$3UONL000022 676 $a091.29$cManoscritti anglosassoni$v21 700 1$aHANNA$bRalph$3UONV169380$0694642 712 $aBrewer$3UONV260511$4650 801 $aIT$bSOL$c20250620$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00294247 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI S.C V A 05 $eSI LO 44036 7 05 996 $aIndex of Middle English Prose. Handlist I.: a handlist of manuscripts containing Middle English Prose in the Henry E. Huntington Library$91252712 997 $aUNIOR LEADER 07444nam 22007815 450 001 9910416084603321 005 20251113192732.0 010 $a3-030-55130-X 024 7 $a10.1007/978-3-030-55130-8 035 $a(CKB)4100000011392521 035 $a(DE-He213)978-3-030-55130-8 035 $a(MiAaPQ)EBC6313417 035 $a(PPN)254713696 035 $a(EXLCZ)994100000011392521 100 $a20200801d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aKnowledge Science, Engineering and Management $e13th International Conference, KSEM 2020, Hangzhou, China, August 28?30, 2020, Proceedings, Part I /$fedited by Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XXVI, 510 p. 202 illus., 116 illus. in color.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v12274 311 08$a3-030-55129-6 327 $aKnowledge Graph -- Event-centric Tourism Knowledge Graph ? A Case Study of Hainan -- Extracting Short Entity Descriptions for Open-World Extension to Knowledge Graph Completion Models -- Graph Embedding Based on Characteristic of Rooted Subgraph Structure -- Knowledge Graphs Meet Geometry for Semi-supervised Monocular Depth Estimation -- Topological Graph Representation Learning on Property Graph -- Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection -- A Contextualized Entity Representation for Knowledge Graph Completion -- A Dual Fusion Model for Attributed Network Embedding -- Attention-based Knowledge Tracing with Heterogeneous Information Network Embedding -- Knowledge Representation -- Detecting Statistically Significant Events in Large Heterogeneous Attribute Graphs via Densest Subgraphs -- Edge Features Enhanced Graph Attention Network for Relation Extraction -- MMEA: Entity Alignment for Multi-Modal Knowledge Graph -- A Hybrid Model with Pre-trained Entity-Aware Transformer for Relation Extraction -- NovEA: A Novel Model of Entity Alignment Using Attribute Triples and Relation Triples -- A Robust Representation with Pre-Trained Start and End Characters Vectors for Noisy Word Recognition -- Intention Multiple-representation Model for Logistics Intelligent Customer Service -- Identifying Loners from Their Project Collaboration Records ? A Graph-based Approach -- Node Embedding over Attributed Bipartite Graphs -- FastLogSim: A quick log pattern parser scheme based on text similarity -- Knowledge Management for Education -- Robotic Pushing and Grasping Knowledge Learning via Attention Deep Q-Learning Network -- A Dynamic Answering Path based Fusion Model for KGQA -- Improving Deep Item-based Collaborative Filtering with Bayesian Personalized Ranking for MOOC Course Recommendation -- Online Programming Education Modeling and Knowledge Tracing -- Enhancing Pre-Trained Language Models by Self-Supervised Learning for Story Cloze Test -- MOOCRec: An Attention Meta-path Based Model for Top-K Recommendation in MOOC -- Knowledge-based Systems -- PVFNet: Point-view fusion network for 3D shape recognition -- HEAM: Heterogeneous Network Embedding with Automatic Meta-path Construction -- A Graph Attentive Network Model for P2P Lending Fraud Detection -- An Empirical Study on Recent Graph Database Systems -- Bibliometric Analysis of Twitter Knowledge management publications related to Health Promotion -- Automatic cerebral artery system labeling using registration and key points tracking -- Page-level handwritten word spotting via discriminative feature learning -- NADSR: A Network Anomaly Detection Scheme based on Representation -- A Knowledge-based Scheduling Method for Multi-Satellite Range System -- IM-Net: Semantic Segmentation Algorithm for Medical Images Based on Mutual Information Maximization -- Data Processing and Mining -- Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection -- Improving Low-Resource Chinese Event Detection with Multi-Task Learning -- Feature Selection Using Sparse Twin Support Vector Machine with correntropy-induces loss -- Customized Decision Tree for Fat Multi-resolution Chart Patterns Classification -- Predicting user influence in the propagation of toxic information -- Extracting Distinctive Shapelets with Random Selection for Early Classification -- Butterfly-Based Higher-Order Clustering on Bipartite Networks -- Learning Dynamic Pricing Rules for Flight Tickets. 330 $aThis two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.* The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning. *The conference was held virtually due to the COVID-19 pandemic. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v12274 606 $aArtificial intelligence 606 $aApplication software 606 $aSocial sciences$xData processing 606 $aData mining 606 $aDatabase management 606 $aInformation technology$xManagement 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 606 $aComputer Application in Social and Behavioral Sciences 606 $aData Mining and Knowledge Discovery 606 $aDatabase Management 606 $aComputer Application in Administrative Data Processing 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aSocial sciences$xData processing. 615 0$aData mining. 615 0$aDatabase management. 615 0$aInformation technology$xManagement. 615 14$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aData Mining and Knowledge Discovery. 615 24$aDatabase Management. 615 24$aComputer Application in Administrative Data Processing. 676 $a006.33 676 $a006.331 702 $aLi$b Gang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aShen$b Heng Tao$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYuan$b Ye$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWang$b Xiaoyang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiu$b Huawen$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhao$b Xiang$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910416084603321 996 $aKnowledge Science, Engineering and Management$9772454 997 $aUNINA