05254nam 2200733 450 991079837820332120230808193338.00-19-755961-10-19-046324-40-19-046323-6(CKB)3710000000712405(EBL)4545350(SSID)ssj0001662518(PQKBManifestationID)16448083(PQKBTitleCode)TC0001662518(PQKBWorkID)14954659(PQKB)10130451(MiAaPQ)EBC4545350(StDuBDS)EDZ0002340896(Au-PeEL)EBL4545350(CaPaEBR)ebr11237315(OCoLC)953456228(EXLCZ)99371000000071240520160810h20162016 uy 0engur|n|---|||||txtccrStories from the Leopold shack sand county revisited /Estella B. LeopoldNew York, New York :Oxford University Press,2016.©20161 online resource (344 p.)Oxford scholarship onlinePreviously issued in print: 2016.0-19-046322-8 Includes bibliographical references and index.Cover; Stories from the Leopold Shack: Sand County Revisited; COPYRIGHT; DEDICATION; EPIGRAPH; CONTENTS ; PREFACE ; ACKNOWLEDGMENTS ; Chapter One: The Shack Enterprise ; Rebuilding ; The Inaugural Visit ; We Meet the Neighbors ; The Shack: Look, Mother, Someone Lives There! ; Planting Pines ; The Music of Our Days and Nights ; Our Second Fireplace, a Remodel (1936) ; The Flying Visitor ; Woopsie! ; Chapter Two: Winter ; Cutting Wood, Banding Birds ; Our Shack Is Vandalized ; The Slough and the River ; Games in Winter ; Cutting the Good Oak ; Chapter Three: Spring ; Planting AgainPoco and Pedro Sky Dance ; Warbler Watching ; Meat Rock and Calling to the Owls ; Goose Music ; What Species Do the Deer Prefer? ; Road Kill for Supper ; Chapter Four: Summer ; The Rhythms of Summer ; Tree House ; Leopold Benches ; Our Beach ; On the Shores of Lake Chapman ; What We Found in the Sand Blow ; Later Years: Building Trails ; Chapter Five: Fall ; Bounty from Our Shack Garden and Orchard ; Carl's Hawks ; Hunting Traditions ; Early Deer Hunting Near the Shack Property ; Dad and Gus ; Chapter Six: The Evolving Archery Endeavors ; Artisan and Archery ; Roving and Archery PracticeMother's Tournament Successes Lady Diana ; Hunting at the Shack and Beyond ; Chapter Seven: The Shack Landscape and Its Restoration: ; The Lay of the Land ; Glacial Carvings: The Johnstown Moraine and the Green Bay Lobe ; Early Forests ; Vegetation Phases ; Early and Historical Records ; What We Did on the Land: Restoration Efforts ; The Shack Yard-and the Plants We Love ; The Old Cornfield, and Finding the Natives ; Maples Soft and Hard ; Our Vegetable Garden and the Original Orchard ; Moist Prairie South of the River Road ; The Sand Blow ; Tamaracks ; "Pines Planted. Do Not Molest"The Neighbor's Fire, April 21, 1948 We Plant an Oak ; Chapter Eight: The Continuing Process of Restoration,1948:-Present; The Aldo Leopold Memorial Reserve ; The Bradley Study Center and a Prairie Experiment ; The Leopold Fellows Program ; The Significance of Prairie Building ; The Aldo Leopold Foundation ; Charlie Bradley's Woods and Prairie ; Restored Vegetation Areas ; Oak Forests and Resilient Prairie Plants ; Of Sandhill Cranes and Ducks ; Nina's Phenology ; Other Restoration Projects ; Driftless Area Landowners ; Chapter Nine: The Shack Idea ; The Results: A MosaicStarker's Place at Sage Hen Field Station, California Luna's Place on the New Fork, Wyoming ; Nina and Charlie's Place near the Wisconsin Shack ; Carl and Lynn's Shack in Costa Rica ; My Shack West in Colorado ; Chapter Ten: Epilogue Family and Familiarity; Appendices: Three Pet Stories; Sammy the Crow ; Pedro Visits a Tenth-Grade French Class ; Fluminea, the Manitoba Crow ; Where Did They Come From? ; Aldo Leopold's Family ; Estella Bergere's Family ; NOTES AND SOURCES ; Preface ; Chapter One ; Chapter Two ; Chapter Three ; Chapter Four ; Chapter Five ; Chapter Six ; Chapter SevenChapter EightEstella Leopold, the daughter of revered American ecologist, conservationist and writer Aldo Leopold, whose 'A Sand County Almanac' is an enduring American classic, takes us inside the place where 'land ethic' theory started.Oxford scholarship online.Restoration ecologyWisconsinRestoration ecologyUnited StatesNature conservationWisconsinNature conservationUnited StatesSauk County (Wis.)Restoration ecologyRestoration ecologyNature conservationNature conservation508.73Leopold Estella B.880118Leopold A. Carl1244632MiAaPQMiAaPQMiAaPQBOOK9910798378203321Stories from the Leopold shack3827325UNINA12844nam 22008055 450 991052006040332120251107172703.03-030-93620-110.1007/978-3-030-93620-4(MiAaPQ)EBC6838842(Au-PeEL)EBL6838842(CKB)20275198300041(PPN)259385174(OCoLC)1290718862(DE-He213)978-3-030-93620-4(EXLCZ)992027519830004120211217d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierBig Data Analytics 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings /edited by Satish Narayana Srirama, Jerry Chun-Wei Lin, Raj Bhatnagar, Sonali Agarwal, P. Krishna Reddy1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (360 pages)Information Systems and Applications, incl. Internet/Web, and HCI,2946-1642 ;13147Print version: Srirama, Satish Narayana Big Data Analytics Cham : Springer International Publishing AG,c2021 9783030936198 Includes bibliographical references and index.Intro -- Preface -- Organization -- Contents -- Medical and Health Applications -- MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 3.1 Encoder -- 3.2 Decoder -- 3.3 Classification -- 4 Experiment and Results -- 4.1 Dataset Setup -- 4.2 Training and Testing -- 4.3 Results -- 5 Conclusion -- References -- Smartphone Mammography for Breast Cancer Screening -- 1 Introduction -- 2 Related Work -- 3 System Description -- 4 Simulation -- 5 Results -- 6 Conclusion and the Future Work -- References -- Bridging the Inferential Gaps in Healthcare -- 1 Introduction -- 2 Digital Health -- 3 Digital Twin -- 3.1 Patient Digital Twin -- 3.2 Physician Digital Twin -- 4 Digital Triplet -- 5 Artificial Intelligence and Related Technologies -- 6 Knowledge Graphs -- 7 Conclusion -- References -- 2AI&amp -- 7D Model of Resistomics to Counter the Accelerating Antibiotic Resistance and the Medical Climate Crisis -- 1 Introduction -- 2 Related Work -- 3 The Root Cause of Antibiotic Resistance -- 3.1 Solving the Antibiotic Misuse Crisis -- 3.2 Antibiotic Overuse and Underuse -- 4 The Solution to Contain Antibiotic Resistance -- 4.1 Diseasomics Knowledge Graph -- 4.2 Categorical Belief Knowledge Graph -- 4.3 Vector Embedding Through Node2Vec -- 4.4 Probabilistic Belief Knowledge Graph -- 4.5 De-escalation (Site-Specific and Patient-Specific Resistance) -- 4.6 The Right Automated Documentation -- 5 Conclusion -- References -- Tooth Detection from Panoramic Radiographs Using Deep Learning -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Annotation -- 3.3 Data Preprocessing -- 3.4 Object Detection Model -- 3.5 Performance Analysis -- 4 Experimental Results -- 4.1 Localization Loss -- 4.2 Total Loss -- 4.3 Learning Rate.4.4 Steps Per Epoch -- 5 Comparative Study -- 5.1 Comparison with Clinical Experts -- 5.2 Comparison with Other Works -- 6 Conclusion -- References -- Machine/Deep Learning -- Hate Speech Detection Using Static BERT Embeddings -- 1 Introduction -- 1.1 BERT -- 1.2 Attention in Neural Networks -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Static BERT Embedding Matrix -- 4 Experiments -- 4.1 Choice of Dataset -- 4.2 Neural Network Architectures and Testing Environment -- 5 Results and Discussion -- 6 Conclusion -- References -- Fog Enabled Distributed Training Architecture for Federated Learning -- 1 Introduction -- 2 Related Work -- 3 Decentralized Federated Learning -- 3.1 Architecture -- 3.2 Online Training and Data Privacy -- 4 Evaluation and Results -- 4.1 Docker Based Fog Federation Framework -- 4.2 FMCW Radar Dataset for Federated Learning -- 4.3 Results and Analysis -- 5 Conclusions and Future Work -- References -- Modular ST-MRF Environment for Moving Target Detection and Tracking Under Adverse Local Conditions -- 1 Introduction -- 1.1 Data Collection and Pre-processing -- 1.2 Medium Transmission Channel Estimation -- 1.3 Intensity Value Prior -- 2 Machine Learning Assisted ST-MRF Environment for Moving Target Tracking -- 2.1 Expectation Maximization Algorithm -- 2.2 Clustering Assisted Edge-Preserving ROI Segmentation -- 3 Conclusion -- References -- Challenges of Machine Learning for Data Streams in the Banking Industry -- 1 Introduction -- 1.1 Background -- 2 Banking Information Systems -- 2.1 Online Learning Use Cases in the Banking Sector -- 2.2 Categorization of Information System Data Sources -- 2.3 Banking Sector Applications and Use Cases -- 2.4 Challenging Use Cases of Online Learning in the Banking Sector -- 3 Literature Review on IT Stream Learning -- 3.1 Learning Methods from IT Logs: Anomaly Detection and Log Mining.3.2 Pattern Mining from Graph Data Streams -- 3.3 Streaming Frameworks for Mining IT and DevOps Events -- 4 Data Science Challenges for IT Data Stream Learning -- 4.1 Multiple Data Streams Mining for Anomaly Detection -- 4.2 Online Learning from Heterogeneous Data Streams -- 5 Data Engineering in Applying Models in Production -- 5.1 Model Governance Challenges Regarding Banks Regulations -- 5.2 Engineering Challenges for Deploying Online Learning Models -- 6 Conclusion -- References -- A Novel Aspect-Based Deep Learning Framework (ADLF) to Improve Customer Experience -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Design -- 5 Implementation -- 6 Results and Discussion -- 7 Conclusion and Future Work -- References -- IoTs, Sensors, and Networks -- Routing Protocol Security for Low-Power and Lossy Networks in the Internet of Things -- 1 Introduction -- 1.1 The Role of Big Data in IoT -- 1.2 The RPL Protocol -- 1.3 The Cooja Simulator -- 2 Related Works -- 3 Problem Statement -- 4 Methodology -- 4.1 Implementing the SHA Encryption -- 4.2 Methodology Followed -- 4.3 Running the Cooja Simulator -- 4.4 Simulating the Unencrypted RPL Protocol -- 4.5 Simulating the Unencrypted RPL Protocol -- 5 Results and Discussions -- 6 Future Work -- 7 Conclusion -- References -- MQTT Protocol Use Cases in the Internet of Things -- 1 Introduction -- 2 Use Case 1: Home Automation Using Node-Red -- 2.1 Setup of Virtual Server in AWS and Interconnecting Node-Red, MQTT Box, Mosquitto Broker and AWS -- 2.2 The Home Automation System in Node-Red -- 2.3 Big Data in Home Automation -- 2.4 Measurement of Message Throughput and Message Speed Through Nodes -- 2.5 Throughput of the Message Transmission -- 3 Use Case 2: Vehicular Network -- 3.1 Connecting 100 Vehicles and Analysis of Statistics in the Dashboard in AWS Simulator -- 3.2 Big Data in a Vehicular Network.4 Justifications to Prove MQTT is More Efficient than Other Protocols -- 4.1 Use Cases Basis -- 4.2 Comparative Analysis of MQTT, CoAP and HTTP -- 5 Features of MQTT -- 5.1 Security -- 5.2 QoS -- 5.3 Last Will Message -- 6 Conclusion -- References -- Large-Scale Contact Tracing, Hotspot Detection, and Safe Route Recommendation -- 1 Introduction -- 2 Related Works -- 3 Contact Tracing -- 3.1 Intuition Behind t/2 Mins -- 3.2 How Lat/long Distances Map to Circular d m? -- 3.3 Static Case -- 3.4 Dynamic Case -- 4 Potential Hotspot Detection -- 5 Safe Route Recommendation -- 6 Complexity Analysis -- 7 Empirical Demonstration -- 7.1 Contact Tracing Experiment -- 7.2 Hotspot Detection Experiment -- 7.3 Safe Route Recommendation Experiment -- 8 Conclusion and Future Work -- References -- Current Trends in Learning from Data Streams -- 1 Introduction -- 2 The Importance of Forgetting -- 3 Learning Rare Cases -- 3.1 ChebyUS: Chebyshev-Based Under-Sampling -- 3.2 ChebyOS: Chebyshev-Based Over-Sampling -- 3.3 Experimental Evaluation -- 4 Learning to Learn: Hyperparameter Tunning -- 4.1 Dynamic Sample Size -- 4.2 Stream-Based Implementation -- 4.3 Experimental Evaluation -- 5 Conclusions -- References -- Fundamentation -- Diagnostic Code Group Prediction by Integrating Structured and Unstructured Clinical Data -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Preparation and Preprocessing -- 3.2 Feature Engineering -- 3.3 Disease Group Prediction Models -- 3.4 Model Ensembling -- 4 Results and Analysis -- 4.1 Baseline Models and Experimental Setup -- 4.2 Results -- 4.3 Discussions -- 5 Conclusion and Future Work -- References -- SCIMAT: Dataset of Problems in Science and Mathematics -- 1 Introduction -- 2 Related Work -- 3 Datasets -- 3.1 Existing DeepMind Datasets -- 3.2 Our New Datasets -- 3.3 Sample Question in Mathematics.3.4 Sample Questions in Science -- 4 Experimental Results and Analysis -- 4.1 Transformer Architecture and Char2Char Encoding -- 4.2 Computational Resources Used -- 4.3 Dataset Organization and Generation -- 4.4 Evaluation Criterion and Splitting of Train and Test -- 4.5 Comparison of Train and Test Accuracy -- 4.6 Discussion of Test Accuracy for Generated Datasets -- 5 Conclusion -- References -- Rank-Based Prefetching and Multi-level Caching Algorithms to Improve the Efficiency of Read Operations in Distributed File Systems -- 1 Introduction -- 2 Related Work -- 3 Proposed Algorithms -- 3.1 Architecture -- 3.2 Rank-Based Prefetching -- 3.3 Multi-level Caching -- 3.4 Reading from the DFS -- 3.5 Writing to DFS -- 4 Experimental Results -- 4.1 Parameters -- 4.2 Experimental Setup -- 4.3 Simulation Results -- 5 Conclusion -- References -- Impact-Driven Discretization of Numerical Factors: Case of Two- and Three-Partitioning -- 1 Introduction -- 2 Related Work -- 3 Motivation -- 4 Our Approach -- 4.1 Key Intuition -- 4.2 Step Function -- 4.3 Definitions -- 4.4 Method -- 5 Evaluation -- 5.1 Data Sets -- 5.2 Results and Discussion -- 6 Conclusion -- References -- Towards Machine Learning to Machine Wisdom: A Potential Quest -- 1 Introduction -- 2 Intelligence -- 2.1 Human Intelligence -- 2.2 Artificial Intelligence -- 3 Wisdom -- 3.1 Natural Wisdom: Human Wisdom -- 3.2 Artificial Wisdom: Beyond Artificial Intelligence -- 4 Transition Scope from Artificial Intelligence to Artificial Wisdom Systems -- 4.1 Principles of Artificial Wisdom Systems -- 5 Challenges -- 6 Conclusions -- References -- Pattern Mining and data Analytics -- Big Data over Cloud: Enabling Drug Design Under Cellular Environment -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 3.1 Spark-Based Processing of MD Simulation Data -- 3.2 Benchmarks and Insights.3.3 Framework for Cloud-Based MD Simulation Service.This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2021, which took place during December 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 3 short papers included in this volume were carefully reviewed and selected from 41 submissions. The contributions were organized in topical sections named as follows: medical and health applications; machine/deep learning; IoTs, sensors, and networks; fundamentation; pattern mining and data analytics.Information Systems and Applications, incl. Internet/Web, and HCI,2946-1642 ;13147Data miningArtificial intelligenceComputer engineeringComputer networksApplication softwareData structures (Computer science)Information theoryData Mining and Knowledge DiscoveryArtificial IntelligenceComputer Engineering and NetworksComputer and Information Systems ApplicationsData Structures and Information TheoryData mining.Artificial intelligence.Computer engineering.Computer networks.Application software.Data structures (Computer science)Information theory.Data Mining and Knowledge Discovery.Artificial Intelligence.Computer Engineering and Networks.Computer and Information Systems Applications.Data Structures and Information Theory.006.312Srirama Satish Narayana1978-MiAaPQMiAaPQMiAaPQBOOK9910520060403321Big data analytics1523196UNINA