Note: Cover -- Title -- Copyright -- Contents -- Notes on contributors -- INTRODUCTION: THE ROOTS OF ENVIRONMENTAL CONSCIOUSNESS -- 1 THE ENGLISH, THE TREES, THE WILD AND THE GREEN -- 2 ANIMALS, CHILDREN AND PEASANTS IN TUSCANY -- 3 NARRATING NATURE -- 4 WHEN THE WATER COMES -- 5 'OUR LAND IS OUR ONLY WEALTH' -- 6 USING COMMUNITY MEMORY AGAINST THE ONSLAUGHT OF DEVELOPMENT -- 7 SIGNS OF THINGS TO COME -- 8 THE ENVIRONMENTAL MOVEMENT IN KAZAKSTAN -- 9 PATHS TO ECOFEMINIST ACTIVISM -- 10 PATHWAYS TO THE AMAZON -- REVIEWS -- 'Not otherwise touchable somehow': ecocriticism and literature Jeff Wallace -- Archetypal history: Simon Schama's Landscape and Memory -- Name index -- Subject index.

Note: Cover -- Half Title -- Title -- Copyright -- Contents -- Part I: Defining the Discourse -- 1. A Brief on Environmental Justice -- 2. Ecology, Justice, and the End of Development -- Part II: Case Studies -- 3. A Revolution in Environmental Justice and Sustainable Development: The Political Ecology of Nicaragua -- 4. The Long March for Livelihoods: Struggle Against the Narmada Dam in India -- 5. A 'Necessary Sacrifice:' Industrialization and American Indian Lands -- 6. The Circle of Life: Preserving American Indian Traditions and Facing the Nuclear Challenge -- 7. Powering Injustice: Hydroelectric Development in Northern Manitoba -- 8. The Global Commons and Environmental Justice-Climate Change -- Part III: Expanding the Discourse -- 9. Ecosocialization and Environmental Justice -- 10. globalization.com vs. ecologicaljustice.org: Contesting the End of History -- 11. The Production of Unequal Nature -- Contributors -- Index.

Note: Cover -- Half Title -- Series Page -- Title -- Copyright -- Contents -- List of figures -- List of tables -- List of boxes -- Acknowledgements -- 1 Introduction -- 1.1 What this book is about -- 1.2 Interdisciplinary discourse as a topic for research -- 1.3 Our approach to interdisciplinary research discourse -- 1.4 Our approach to Corpus Linguistics -- 1.5 The organisation of this book and terminology -- 2 Disciplines and interdisciplinarity -- 2.1 Introduction -- 2.2 A corpus study of discipline, disciplines and disciplinary -- 2.3 Mapping the disciplines -- 2.4 Interdisciplinarity -- 2.5 Corpus studies of disciplinary variation -- 2.6 Studies of interdisciplinary research discourse -- 2.7 What 'interdisciplinarity' means in this book -- 3 The BEE4 corpus -- 3.1 Introduction -- 3.2 Selection of the journals: bibliometric data -- 3.3 Corpus details -- 3.4 Aims and scope statements -- 3.5 Conclusion -- 4 Headings in the four journals -- 4.1 Introduction -- 4.2 Organisation of research articles -- 4.3 Case study: headings in the four journals -- 4.4 Conclusion -- 5 Introductions (and beyond) in four journals -- 5.1 Introduction -- 5.2 Introduction structures -- 5.3 Constructing difference: cases from a special issue -- 5.4 Strategies in the introductions of AEE -- 5.5 Strategies in the introductions of GEC -- 5.6 Summary: studies of introductions -- 5.7 Beyond the introduction: construing community through pronouns -- 5.8 Beyond the introduction: construing conflict with inadequate -- 5.9 Conclusion -- 6 Words in context: environment, science, important -- 6.1 Introduction -- 6.2 One word, several meanings: the case of environment -- 6.3 The notion of science -- 6.4 What counts as important -- 6.5 Conclusion -- 7 Status and disciplinarity -- 7.1 Introduction -- 7.2 The concept of status -- 7.3 Why status matters. , 7.4 Identifying and counting status markers in the BEE4 corpus -- 7.5 Quantitative study of status marker frequency -- 7.6 Qualitative studies of selected status markers -- 7.7 Conclusion -- 8 An explanatory code gloss: in other words -- 8.1 Introduction -- 8.2 A quantitative study of in other words -- 8.3 A qualitative study of in other words -- 8.4 In other words: case studies -- 8.5 Conclusion -- 9 Multidimensional Analysis: variation between and within journals -- 9.1 Introduction -- 9.2 Dimensions in the BEE11 corpus -- 9.3 Inter-journal variation in BEE4 -- 9.4 Constellations -- 9.5 Conclusion -- 10 Topic Modelling: what a journal is about -- 10.1 Introduction -- 10.2 Topic Modelling: the method -- 10.3 Studying the broad-range words -- 10.4 BEE4 key articles -- 10.5 Comparing AEE and PS -- 10.6 Comparing GEC and REE -- 10.7 Diachronic study -- 10.8 Conclusion -- 11 Conclusion -- 11.1 The research in this book -- 11.2 Conclusions about interdisciplinary research discourse -- 11.3 Teaching writing for an interdisciplinary readership -- 11.4 Conclusions about Corpus Linguistics -- 11.5 Towards the future -- Appendix A -- Appendix B -- Index.

Note: Cover -- Half-title -- Title -- Copyright -- Contents -- Acknowledgements -- Introduction -- Taxonomy and Nomenclature -- Plates and Species Accounts -- Plumage Terminology -- Geographical Setting -- Climate -- Main Habitats, Threats and Bird Species -- Forests -- Coastal wetlands -- Freshwater wetlands -- Grasslands -- Agricultural land -- Villages and towns -- Importance For Birds -- Species diversity -- Globally threatened species and endemism -- Migration -- Birdwatching Areas -- Conservation Measures -- Cultural attitudes -- Commitment to international conservation agreements -- Institutional framework for conservation -- Protected and conservation areas -- National Organisations -- International Organisations -- Glossary -- Family Summaries -- Plates and Species Accounts -- Partridges and Pheasants -- Buttonquails -- Ducks and Geese -- Grebes -- Pigeons and Doves -- Nightjars -- Frogmouth -- Swifts -- Cuckoos -- Crakes, Rails and Gallinules -- Finfoot -- Bustards -- Cranes -- Storks -- Ibises and Spoonbill -- Herons -- Pelican -- Cormorants -- Darter -- Thick-knees -- Oystercatcher -- Stilt and Avocet -- Lapwings and Plovers -- Painted-snipe -- Jacanas -- Pratincoles -- Sandpipers and Allies -- Gulls, Terns and Skimmer -- Jaeger -- Barn-owl -- Typical Owls -- Osprey -- Kites, Hawks and Eagles -- Trogon -- Hornbills -- Hoopoe -- Bee-eaters -- Rollers -- Kingfishers -- Asian Barbets -- Wryneck, Piculets and Woodpeckers -- Falcons -- Parrots and Parakeets -- Pittas -- Whistler -- Broadbills -- Orioles -- Erpornis -- Cuckooshrikes and Minivets -- Woodswallow -- Iora -- Fantail -- Woodshrikes -- Monarchs -- Drongos -- Shrikes -- Canary-flycatcher -- Tit -- Crows -- Larks -- Cisticolas and Allies -- Reed-warblers -- Grasshopper-warblers and Grassbirds -- Swallows and Martins -- Bulbuls -- Leaf-warblers -- Bush-warblers. , Old World Warblers and Parrotbills -- White-eye and Yuhina -- Scimitar-babblers and Allies -- Ground Babblers -- Laughingthrushes and Allies -- Nuthatches -- Starlings and Mynas -- Thrushes -- Fairy-bluebird -- Leafbirds -- Sunbirds and Spiderhunters -- Flowerpeckers -- Weavers -- Old World Sparrows -- Munias -- Pipits and Wagtails -- Finches -- Buntings -- Appendices -- 1 Vagrants -- 2 Species list including Bangla names -- 3 Hypothetical and unconfirmed birds that might occur in Bangladesh -- References -- Index -- Quick Index.

Note: Intro -- Additional Workshop Editors -- Preface -- Multimodal Brain Image Analysis (MBIA) -- Organization -- Preface -- Organization -- Contents -- MBIA -- Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Overview and Preprocessing -- 2.2 Clustering and Central Fiber Extracting -- 2.3 Non-rigid Registration -- 3 Experiment and Results -- 3.1 Registration Based on CPD -- 3.2 Evaluation Based on Distance Between Fiber Tracts -- 3.3 Evaluation Based on FA Profile Along the Fiber Tracts -- 4 Conclusion -- Acknowledgements -- References -- An Edge Enhanced SRGAN for MRI Super Resolution in Slice-Selection Direction -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Two-Stage Super-Resolution Generator Network -- 2.2 Discriminator Network -- 2.3 Edge Enhanced Hybrid Loss Function -- 3 Experiment and Result -- 3.1 Dataset and Training Detail -- 3.2 Results -- 4 Conclusion -- References -- Exploring Functional Connectivity Biomarker in Autism Using Group-Wise Sparse Representation -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Overview -- 2.2 Data Acquisition and Pre-Processing -- 2.3 Sparse Representation Theory -- 2.4 Sparse Representation of Whole-Brain FMRI Data -- 2.5 Functional Connectivity Analysis -- 3 Result -- 3.1 Node Identification on Simulated Data -- 3.2 Node Identification on ASD Data -- 3.3 Functional Connectivity Biomarkers -- 3.4 Classification Performance -- 3.5 Anatomical Locations of Network Nodes -- 4 Conclusion -- References -- Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Feature Preparation -- 2.2 Feature Embedding -- 2.3 Feature Augmentation -- 3 Experiment -- 3.1 Data Description, Preprocessing and Network Reconstruction. , 3.2 Experimental Settings -- 3.3 Comparison to Other Baseline Methods -- 4 Conclusion -- References -- Mapping the Spatio-Temporal Functional Coherence in the Resting Brain -- Abstract -- 1 Introduction -- 2 Method -- 2.1 A New Multivariate SampEn and Spatio-Temporal Coherence Mapping (STCM) -- 2.2 Evaluations with Numerical Simulations -- 2.3 Evaluations with rsfMRI Data from Human Connectome Project (HCP) -- 3 Results -- 3.1 Numerical Simulation Results -- 3.2 Mean STIC Map and Test-Retest Stability of STIC -- 3.3 Sex Effects on STIC -- 3.4 Age Effects on STIC -- 4 Discussion and Conclusion -- Acknowledgement -- References -- Species-Preserved Structural Connections Revealed by Sparse Tensor CCA -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Datasets -- 2.2 Data Preprocessing -- 2.3 Structural Connective Connectome Construction -- 2.4 Sparse Tensor Canonical Correlation Analysis (STCCA) -- 3 Results -- 3.1 Cross-Validation -- 3.2 DTI Tracts Comparison Between Human and Macaque -- 4 Conclusion -- References -- Identification of Abnormal Cortical 3-Hinge Folding Patterns on Autism Spectral Brains -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Datasets and Preprocessing -- 2.2 3-Hinges Detection -- 2.3 3-Hinges Morphological Feature -- 2.4 Large-Scale Spectral Clustering on Morphological Similarity Matrix -- 2.5 Data Analysis -- 3 Results -- 3.1 3-Hinge Shape Clustering Results -- 3.2 Distinctive Shape Patterns -- 4 Conclusion -- Acknowledgements -- References -- Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition and Pre-processing -- 2.2 Deep Recurrent Autoencoder -- 2.3 Estimation of Hemodynamic Responses -- 3 Experimental Results -- 3.1 Interpretation of Feature Maps and Spatial Patterns. , 3.2 Hemodynamic Response Patterns -- 4 Discussion and Conclusion -- Acknowledgements -- References -- 3D Convolutional Long-Short Term Memory Network for Spatiotemporal Modeling of fMRI Data -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Overview -- 2.2 Data Acquisition and Pre-processing -- 2.3 3D-Convolutional Long Short-Term Memory Network (3DCLN) -- 2.4 Training Sample Organization and Parameter Settings -- 3 Result -- 3.1 Accuracy of fMRI Volume Classification -- 3.2 Spatial and Temporal Validation -- 3.2.1 Spatial Validation -- 3.2.2 Temporal Validation -- 4 Conclusion -- References -- Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study -- 1 Introduction -- 2 Methodology -- 2.1 Problem Definition and Methodology Overview -- 2.2 Biological Knowledge Guided CNN for Genotype-Phenotype Prediction -- 3 Experiments -- 3.1 Data Description -- 3.2 Experiment Settings -- 3.3 Results and Discussions -- 4 Conclusion -- References -- Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network -- 1 Introduction -- 2 Method -- 2.1 Network Architecture -- 2.2 Graph Neural Network Layer for Brain Network Learning -- 3 Experiments and Discussions -- 4 Conclusions -- References -- CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation -- 1 Introduction -- 2 The Proposed Cascaded U-Net Method -- 2.1 Our Cascaded U-Net Architecture -- 2.2 Training with Loss Weighted Sampling -- 3 Experimental Results -- 3.1 Datasets and Pre-processing -- 3.2 Implementation Details -- 3.3 Results and Analysis -- 4 Conclusions -- References -- BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes -- 1 Introduction -- 2 Design -- 3 Customisation -- 4 First Use Case: Visualising the Degree of Pathology. , 5 Second Use Case: Visualising the Temporal Progression of Neurodegenerative Diseases -- 6 Third Use Case: Visualising Pathology in Subcortical Structures -- 7 Conclusion -- References -- Structural Similarity Based Anatomical and Functional Brain Imaging Fusion -- 1 Introduction -- 2 Methods -- 2.1 Fusion Framework -- 2.2 Visualization Framework -- 3 Experiments and Results -- 3.1 Training -- 3.2 Testing -- 3.3 Evaluation Settings -- 3.4 Comparison to the State of the Art -- 4 Conclusion and Discussion -- References -- Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Hierarchical Separable Convolution (HSC) Block -- 2.2 Ensemble of 3D Segmentations with Focal Views -- 3 Experiments and Results -- 3.1 Dataset and Implementation Details -- 3.2 Results and Ablation Study -- 3.3 Comparison with Other Methods -- 4 Conclusion -- References -- Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank -- 1 Introduction -- 2 Materials and Data Processing -- 3 Methods -- 3.1 Overview of PLTR -- 3.2 Patient Similarities from FreeSurfer Features -- 3.3 Patient Amyloid Features in Ground Truth -- 4 Experiments -- 4.1 Experimental Protocol -- 4.2 Baseline Methods -- 5 Experimental Results -- 5.1 Overall Performance -- 5.2 Study on Patient-Patient Similarities -- 6 Conclusions and Discussions -- References -- MFCA -- Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models -- 1 Introduction -- 2 Image Registration in the LDDMM Framework -- 2.1 Kernel Construction -- 3 Metric Learning -- 3.1 Optimization Strategy -- 3.2 Optimization Algorithm -- 4 Experiments -- 4.1 Synthetic Data -- 4.2 Subcortical Shapes -- 5 Conclusion -- References. , 3D Mapping of Serial Histology Sections with Anomalies Using a Novel Robust Deformable Registration Algorithm -- 1 Introduction -- 2 Algorithm -- 2.1 Generative Model -- 2.2 Optimization via Expectation Maximization -- 3 Results -- 4 Discussion -- References -- Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development -- 1 Introduction -- 2 Methods -- 2.1 Structural Deformation Model -- 2.2 Gompertz Intensity Change Model -- 2.3 Spatiotemporal Model with Appearance Change -- 3 Experimental Validation -- 3.1 Synthetic Bull's-Eye -- 3.2 Early Brain Development from Birth -- 4 Discussion -- References -- Surface Foliation Based Brain Morphometry Analysis -- 1 Introduction -- 2 Previous Works -- 3 Theoretic Foundation -- 4 Algorithm -- 5 Experiment -- 6 Conclusion -- References -- Mixture Probabilistic Principal Geodesic Analysis -- 1 Introduction -- 2 Background: Riemannian Geometry and PPGA -- 2.1 PPGA -- 3 Our Model: Mixture Probability Principal Geodesic Analysis (MPPGA) -- 3.1 Inference -- 4 Evaluation -- 4.1 Data -- 4.2 Experiments -- 4.3 Results -- 5 Conclusion and Future Work -- References -- A Geodesic Mixed Effects Model in Kendall's Shape Space -- 1 Introduction -- 2 Kendall's Shape Space -- 2.1 Preliminaries -- 2.2 Geodesic Regression -- 2.3 Tangent Bundle and Mean Geodesic -- 3 Application -- 3.1 Data Description -- 3.2 Numerical Results -- 4 Conclusion -- References -- An As-Invariant-As-Possible -Based Statistical Shape Model -- 1 Introduction -- 2 Differential Coordinates -- 3 Geometric Statistics in -- 3.1 Bi-Invariant Mean -- 3.2 Tangent Principal Component Analysis -- 4 Experiments and Results -- 5 Conclusion and Future Work -- References -- Author Index.