Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (XII, 787 S.) , Ill., graph. Darst.

Edition: Online-Ausgabe Springer ebook collection. Medicine 2005-2008

ISBN: 9781597454056

Additional Edition: Reproduktion von Molecular Genetic Pathology 2008

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-58829-974-1

Language: English

Subjects: Medicine

Keywords: Molekularpathologie

DOI: 10.1007/978-1-59745-405-6

URL: Volltext

UID:

Format: 1 Online-Ressource (XII, 787 S.) : , Ill., graph. Darst.

Edition: Online-Ausgabe Springer ebook collection. Medicine 2005-2008

ISBN: 978-1-59745-405-6

Additional Edition: Reproduktion von Molecular Genetic Pathology 2008

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-58829-974-1

Language: English

Subjects: Medicine

Keywords: Molekularpathologie

DOI: 10.1007/978-1-59745-405-6

URL: Volltext

URL: Volltext

URL: Volltext  (lizenzpflichtig)

URL: Cover

URL: Volltext

UID:

Format: 1 online resource (VIII, 470 p.)

Edition: 1st ed.

ISBN: 3-11-078598-6

Series Statement: De Gruyter STEM ; Volume 3

Content: Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 3 describes how the resource-aware machine learning methods and techniques are used to successfully solve real-world problems. The book provides numerous specific application examples. In the areas of health and medicine, it is demonstrated how machine learning can improve risk modelling, diagnosis, and treatment selection for diseases. Machine learning supported quality control during the manufacturing process in a factory allows to reduce material and energy cost and save testing times is shown by the diverse real-time applications in electronics and steel production as well as milling. Additional application examples show, how machine-learning can make traffic, logistics and smart cities more effi cient and sustainable. Finally, mobile communications can benefi t substantially from machine learning, for example by uncovering hidden characteristics of the wireless channel.

Note: Frontmatter -- , Contents -- , 1 Editorial -- , 2 Health / Medicine -- , 2.1 Machine Learning in Medicine -- , 2.2 Virus Detection -- , 2.3 Cancer Diagnostics and Therapy from Molecular Data -- , 2.4 Bayesian Analysis for Dimensionality and Complexity Reduction -- , 2.5 Survival Prediction and Model Selection -- , 2.6 Protein Complex Similarity -- , 3 Industry 4.0 -- , 3.1 Keynote on Industry 4.0 -- , 3.2 Quality Assurance in Interlinked Manufacturing Processes -- , 3.3 Label Proportion Learning -- , 3.4 Simulation and Machine Learning -- , 3.5 High-Precision Wireless Localization -- , 3.6 Indoor Photovoltaic Energy Harvesting -- , 3.7 Micro-UAV Swarm Testbed for Indoor Applications -- , 4 Smart City and Traffic -- , 4.1 Inner-City Traffic Flow Prediction with Sparse Sensors -- , 4.2 Privacy-Preserving Detection of Persons and Classification of Vehicle Flows -- , 4.3 Green Networking and Resource Constrained Clients for Smart Cities -- , 4.4 Vehicle to Vehicle Communications: Machine Learning-Enabled Predictive Routing -- , 4.5 Modelling of Hybrid Vehicular Traffic with Extended Cellular Automata -- , 4.6 Embedded Crowdsensing for Pavement Monitoring and its Incentive Mechanisms -- , 5 Communication Networks -- , 5.1 Capacity Analysis of IoT Networks in the Unlicensed Spectrum -- , 5.2 Resource-Efficient Vehicle-to-Cloud Communications -- , 5.3 Mobile-Data Network Analytics Highly Reliable Networks -- , 5.4 Machine Learning-Enabled 5G Network Slicing -- , 5.5 Potential of Millimeter Wave Communications -- , 6 Privacy -- , 6.1 Keynote: Construction of Inference-Proof Agent Interactions -- , Bibliography -- , Index -- , List of Contributors , Issued also in print. , In English.

Additional Edition: ISBN 3-11-078597-8

Language: English

DOI: 10.1515/9783110785982

UID:

Format: 1 online resource (505 pages)

ISBN: 0-12-803154-9 , 0-12-803139-5

Note: Front Cover -- Underground Sensing -- Copyright -- Contents -- List of Contributors -- Preface -- 1 Introduction and Overview of Underground Sensing for Sustainable Response -- 1.1 Underground Sensing for Environmental, Economic, and Social Sustainability -- 1.2 Sustainability and Indicators -- 1.3 Overview of Underground Sensing and Monitoring -- 1.3.1 Current Technologies for Underground Environmental and Geotechnical Monitoring -- 1.3.2 Environmental Underground Sensing and Monitoring -- 1.3.2.1 Overview -- 1.3.2.2 Wireless Underground Sensors and Networks -- Precision Agriculture -- Soil Water Distribution -- Plumes and Groundwater -- Land ll Gas -- Pipeline Leakage -- 1.3.3 Geotechnical Underground Sensing and Monitoring -- Pipelines -- Mines and Underground Spaces -- Piles -- Tunnel -- Hybrid Other Applications -- References -- 2 Acoustic, Electromagnetic and Optical Sensing and Monitoring Methods -- 2.1 Principles of Acoustic and Electromagnetic Sensing -- 2.1.1 Introduction -- 2.1.1.1 Conventional Underground Measurement Methods -- 2.1.1.1.1 Physical Field Methods -- 2.1.1.1.2 Acoustic Methods -- 2.1.1.1.3 Electrical and Electromagnetic Wave Methods -- 2.1.1.2 Conventional Devices Used for Underground Measurements -- 2.1.2 Acoustical Measurement Methods-AMM -- 2.1.2.1 Direct Detection Method -- 2.1.2.2 Acoustic Emission (AE) and Acoustic Source Location (ASL) Method -- 2.1.2.3 Re ection Seismology -- 2.1.2.4 Acoustic-to-Seismic (A/S) Coupling -- 2.1.3 Electric and Electromagnetic Methods -- 2.1.3.1 Electrical Resistivity Surveys (ERS) -- 2.1.3.2 Electromagnetic Induction (EMI) Method -- 2.1.3.3 Ground-Penetrating Radar -- 2.1.4 Optical Sensing Technologies Used in Underground Measurement -- 2.1.4.1 Vibration Measurement -- 2.1.4.1.1 Principles of Fiber Optic Vibration Sensing -- 2.1.4.1.2 Distributed Sensing of Vibration. , 2.1.4.1.3 Remote Sensing With Laser Doppler Technology -- 2.1.4.2 Strain/Stress Measurement -- 2.1.4.2.1 FBG for Strain Sensing -- 2.1.4.2.2 BOTDR for Strain/Stress Sensing -- 2.1.4.3 Temperature Measurement -- 2.1.4.3.1 FBG for Temperature Sensing -- 2.1.4.3.2 Raman Scattering Based Fiber-Optic Temperature Sensing -- 2.1.4.4 Gas Detection -- 2.1.4.5 Examples of Practical Applications of Optical Sensor Technologies in Underground Measurements -- 2.1.4.5.1 Earthquake Observation -- 2.1.4.5.2 Mineral Exploration -- 2.1.4.5.3 Underground Pipeline Monitoring -- 2.1.4.5.4 Geological Disaster Warning -- 2.1.4.5.5 Coal Mine Safety Monitoring -- 2.1.5 Conclusions -- References -- 2.2 GPR Technologies for Underground Sensing -- 2.2.1 Introduction to Ground Penetrating Radar -- 2.2.2 Operating Mechanism of GPR -- 2.2.2.1 GPR Signal Propagation in Dielectric Materials -- 2.2.2.2 GPR Sensing Resolution -- Range Resolution -- Cross-Range Resolution -- 2.2.3 GPR System Design -- 2.2.3.1 Pulse Generator -- 2.2.3.2 GPR Antenna -- Element Antenna -- Frequency Independent Antenna -- TEM Horn Antenna -- 2.2.4 GPR Image Processing -- 2.2.4.1 Vibration Effect Correction -- 2.2.4.2 Radio-Frequency Interference Reduction -- 2.2.4.3 Clutter Removal -- 2.2.4.4 Feature Extraction -- 2.2.4.5 Statistical Analysis for Singular Feature Detection -- Other GPR Design Technologies -- References -- 3 Geotechnical Underground Sensing and Monitoring -- 3.1 Introduction -- 3.2 Monitoring Strain -- 3.2.1 Vibrating Wire (VW) Strain Gages -- 3.2.1.1 Operating Principle of VW Gages -- 3.2.1.2 Commercial Vibrating Wire Strain Gages -- 3.2.2 Foil Strain Gages -- 3.2.2.1 Operating Principle of Foil Gages -- 3.2.2.2 Commercial Foil Strain Gages -- Gage Series -- Self-Temperature Compensation -- Gage Pattern -- Gage Length -- Gage Resistance -- Options. , 3.2.2.3 Surface Preparation for Foil Strain Gages -- 3.2.2.4 Bonding of Foil Strain Gages -- 3.2.2.5 Attaching Lead-wires and Protection of Foil Strain Gages -- 3.2.2.6 Wheatstone Bridge Circuit -- 3.2.2.7 Optimizing the Excitation of Foil Strain Gages -- 3.2.3 Fiber-Optic Strain Gages -- 3.2.4 Installation of Strain Gages -- 3.3 Monitoring Load -- 3.3.1 Electric Load Cells -- 3.3.2 Hydraulic Load Cells -- 3.3.3 Osterberg Load Cells -- 3.4 Monitoring Pressure -- 3.4.1 Monitoring of Piezometric Pressure -- 3.4.1.1 Pressure Terminology -- 3.4.1.2 Piezometric Measurements -- 3.4.1.3 Piezometric Pressure Transducers -- 3.4.1.4 Pneumatic Piezometers -- 3.4.1.5 Piezometric Time Lag -- 3.4.2 Monitoring of Total Stress (Total Earth Pressure) -- 3.5 Monitoring Deformation -- 3.5.1 Manual Methods -- 3.5.2 Linear Potentiometers -- 3.5.3 LVDT -- 3.5.4 Vibrating Wire Joint Meters -- 3.5.5 Rod Extensometers -- 3.5.6 Probe Extensometers -- 3.5.7 Slope Extensometers -- 3.5.8 Liquid Level Gages -- 3.5.9 Optical Methods -- 3.6 Monitoring Tilt -- 3.6.1 Measurement of Tilt -- 3.6.1.1 Electrolytic Tilt Sensors -- 3.6.1.2 Accelerometric Tilt Sensor -- 3.6.1.3 Vibrating Wire Tilt Sensors -- 3.6.1.4 MEMS Based Tilt Sensors -- 3.6.2 Tilt Beams -- 3.6.3 Inclinometers -- 3.6.3.1 Traversing Inclinometers -- 3.6.3.2 In-place Inclinometers -- 3.6.3.3 Shape Accelerometer Arrays (SAA) -- 3.7 Monitoring Vibration -- 3.7.1 Sensors for Monitoring Vibration -- 3.7.1.1 Geophones -- 3.7.1.2 Accelerometers -- 3.7.1.3 Microphones -- 3.7.1.4 Proximity Sensors -- 3.7.2 Installation of Geophones and Accelerometers -- 3.8 Common Measurement Errors -- 3.8.1 Notation -- 3.8.2 Conformance -- 3.8.3 Electric Noise -- 3.8.4 Drift -- 3.8.5 Signal Aliasing -- 3.8.6 Bias (Systematic) Errors -- 3.8.7 Precision (Random) Errors -- 3.8.8 Sampling Errors -- 3.8.9 Gross Errors -- 3.9 Sensor Speci cations. , 3.9.1 Range -- 3.9.2 Sensitivity -- 3.9.3 Resolution -- 3.9.4 Linearity -- 3.9.5 Hysteresis -- 3.9.6 Precision (Repeatability) -- 3.9.7 Accuracy -- 3.10 Closing Comment -- Further Reading -- 4 Environmental Underground Sensing and Monitoring -- 4.1 Introduction -- 4.2 Overview of Conventional and Transitional Environmental Sensors -- 4.3 Wireless Sensor Networks for Environmental Sensing Applications -- 4.3.1 Background and Current State-of-the-Art -- 4.3.2 Recent Advances in WSN Hardware Suitable for Underground Environmental Applications -- 4.4 Fundamentals of WSN Supporting Environmental Applications: Advances and Open Issues -- 4.4.1 Sensor Network Deployment -- 4.4.2 Virtual Sensor Networks -- 4.4.3 Reliable Sensor Data Collection -- 4.5 Wireless Sensor Networks for Long-Term Monitoring of Contaminated Sites -- 4.5.1 WSN for Underground Plume Monitoring -- 4.5.2 Integrating WSN to Transport Models -- 4.5.3 Network Optimization -- 4.6 Wireless Sensor Networks for Remediation of Sites Contaminated With Organic Wastes -- 4.7 Wireless Sensor Networks for Carbon Leakage -- 4.8 Conclusions -- Acknowledgments -- References -- 5 EM-Based Wireless Underground Sensor Networks -- 5.1 Introduction -- 5.2 Soil as a Communication Media -- 5.3 Propagation in the Underground Channel -- 5.3.1 Two-Wave UG Channel Model -- 5.3.2 Three-Wave UG Channel Model -- Direct Wave -- Reflected Wave -- Lateral Wave -- 5.3.3 Impulse Response Analysis of the UG Channel -- Metrics for Impulse Response Characterization -- 5.3.4 Testbed Design for Impulse Response Parameters Analysis -- 5.3.5 UG Channel Impulse Response Parameters -- 5.3.5.1 Impact of Soil Moisture Changes on Impulse Response -- 5.3.5.2 Impact of Soil Texture -- 5.3.5.3 Impact of Operation Frequency -- 5.3.6 Impulse Response Model Validation Through Experiments. , 5.4 Effects of Soil on Antenna and Channel Capacity -- Resonant Frequency of the UG Antenna -- Bandwidth of the UG Antenna -- Channel Capacity -- 5.5 Error Control -- Energy Ef ciency of FEC Codes -- Transmit Power Control -- 5.6 Network Connectivity -- Modeling Cluster Size Distribution in WUSN -- Communication Coverage Model -- WUSN Connectivity -- Energy Consumption Analysis -- Routing Using Neighbor Node -- A New Connectivity Approach -- 5.7 WUSN Testbeds and Experimental Results -- 5.7.1 Field Testbed -- 5.7.2 Results of WUSN Experiments -- Aboveground Experiments -- Software-De ned Radio Experiments -- 5.8 Conclusions -- References -- 6 Fiber-Optic Underground Sensor Networks -- 6.1 Distributed Fiber-Optic Strain Sensing for Monitoring Underground Structures - Tunnels Case Studies -- 6.1.1 Introduction -- 6.1.2 Distributed Fiber-Optic Sensing (DFOS) Based on Brillouin Scattering -- Basic Principle -- BOTDR and BOTDA -- Temperature Compensated Strain -- Thermal Expansion of Concrete -- Cables -- 6.1.3 Case Study 1: Monitoring of a Sprayed Concrete Tunnel Lining at the Crossrail Liverpool Street Station -- Project Background -- Distributed Fiber-Optic Strain Sensor Installation -- Monitoring Regime and Data Analysis -- Results and Discussion -- 6.1.4 Case Study 2: Liverpool Street Station - Royal Mail Tunnel -- Project Background -- Distributed Fiber-Optic Strain Sensor Installation -- Results and Discussion: Cross-Sectional Behavior -- Results and Discussion: Longitudinal Behavior -- Conclusions -- 6.1.5 Case Study 3: Monitoring of CERN Tunnels -- Project Background & -- Aim of Monitoring -- Installation of Fiber-Optic Sensors & -- Planned Monitoring Scheme -- Current Monitoring Data -- Conclusions & -- Future Work -- References -- 6.2 Fiber-Optic Sensor Networks: Environmental Applications -- 6.2.1 Introduction. , 6.2.2 Fiber-Optic Devices for Sensing.

Language: English

UID:

Format: 1 Online-Ressource.

Edition: 2. ed.

Edition: Online-Ausgabe Springer ebook collection. Medicine 2005-2008

ISBN: 978-1-60327-173-8

Note: Includes bibliographical references and index

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-58829-460-9

Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 1-588-29460-9

Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 1-588-29461-7

Language: English

Subjects: Medicine

Keywords: Pathologische Anatomie ; Pathologie

DOI: 10.1007/978-1-60327-173-8

URL: Volltext  (URL des Erstveröffentlichers)

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 online resource (1037 p.)

Edition: 2nd ed.

ISBN: 0-323-07614-9

Series Statement: Expert consult

Content: Completely revised with practical guidance in daily urological pathology sign-out and the latest recommended diagnostic approaches, the new edition of this comprehensive reference equips you to accurately diagnose specimens of the entire urinary tract and male reproductive system plus the adrenal glands. It begins with a look at normal anatomy and histology for each organ system...followed by discussions of the pathology of congenital anomalies, inflammations, non-neoplastic diseases and neoplasia. An emphasis on clinicopathologic and radiographic-pathologic correlations makes this a true diag

Note: Description based upon print version of record. , Front Cover; Urologic Surgical Pathology; Copyright Page; Contents; Preface to Second Edition of Urologic Surgical Pathology; Contributors List; CHAPTER 1. Non-neoplastic diseases of the kidney; Embryologic development and normal structure; Parenchymal maldevelopment and cystic diseases; Vascular diseases; Tubulointerstitial diseases; Metabolic abnormalities and tubulointerstitial diseases; Renal transplantation; Ciclosporin and FK 506 nephrotoxicity; Miscellaneous conditions; REFERENCES; CHAPTER 2. Neoplasms of the kidney; Papillary adenoma; Oncocytoma; Renal cell carcinoma , Prognostic factors in renal cell carcinomaMetanephric tumors; Nephroblastic tumors; Mesenchymal tumors occurring mainly in children; Mesenchymal tumors occurring mainly in adults; Mixed mesenchymal and epithelial tumors; Neuroendocrine tumors; Hematopoietic and lymphoid tumors; Germ cell tumors; Metastatic tumors; REFERENCES; CHAPTER 3. Renal pelvis and ureter; Development; Anatomy; Congenital malformations; Non-neoplastic proliferative, metaplastic, and inflammatory lesions; Neoplasms; REFERENCES; CHAPTER 4. Fine needle aspiration of the kidney; Background to renal fine needle aspiration , Normal elementsBenign lesions; Malignant lesions; Future trends; REFERENCES; CHAPTER 5. Non-neoplastic disorders of the urinary bladder; Embryology and anatomy; Epithelial abnormalities; Inflammation and infection; Polyps and other mass lesions; Müllerian lesions; Malformations; REFERENCES; CHAPTER 6. Neoplasms of the urinary bladder; Benign urothelial (transitional cell) neoplasms; Flat intraepithelial lesions; Urothelial (transitional cell) carcinoma; Glandular neoplasms; Squamous cell neoplasms; Neural and neuroendocrine tumors; Sarcomatoid carcinoma; Soft tissue tumors; Malignant melanoma , Germ cell tumorsHematologic malignancies; Metastatic tumors and secondary extension; REFERENCES; CHAPTER 7. Urine cytology; Utility of urine cytology; Normal components of urinary sediment; Non-cellular components of urinary sediment; Diagnostic criteria; Urine cytology in renal transplant recipients; Other benign conditions; Cytologic diagnosis of urothelial tumors; Correlation of urine cytology and biopsy findings (diagnostic accuracy); Other types of carcinoma; Other malignant tumors; Major diagnostic pitfalls; Special aspects of anatomic sites other than the urinary bladder , Secondary tumorsAncillary studies; The problem of hematuria; REFERENCES; CHAPTER 8. Non-neoplastic diseases of the prostate; Embryology and fetal-prepubertal history; Anatomy and histology of the prostate; Immunohistochemistry; Prostate sampling techniques; Prostatic inflammation; Pathologic changes following needle biopsy; Non-neoplastic metaplasia; Hyperplasia and nodular hyperplasia; Benign non-neoplastic conditions; Treatment-associated changes; REFERENCES; CHAPTER 9. Neoplasms of the prostate; Epithelial neoplasms; Soft tissue neoplasms; Other neoplasms and tumor-like proliferations , Other rare tumors and tumor-like conditions , English

Additional Edition: ISBN 0-323-01970-6

Language: English

UID:

Format: 1 online resource (vii, 204 pages) : , digital, PDF file(s).

ISBN: 1-316-41127-3

Series Statement: Cambridge medicine

Content: This concise, practical guide is structured to reflect the thought process of the practising pathologist. A key feature is the use of algorithms to aid in reaching the correct diagnosis, for both common and complex bladder tumors and tumor-like lesions. Its coverage of diagnostic criteria is in keeping with international standards and best practice, and the practical layout provides quick access to relevant information, integrating conventional histology, immunohistochemical markers and key clinical knowledge. Topics covered include the full spectrum of pathologic conditions that afflict the bladder and urothelium, as well as the pathology of the renal pelvis, ureter and the urethra. Accompanied by numerous images, this is an essential guide for trainee and practising surgical pathologists, urologists and oncologists.

Note: Title from publisher's bibliographic system (viewed on 12 Jul 2016). , Preface -- Urinary bladder -- Basic anatomy and histology -- Inflammatory and tumor-like conditions -- Flat intraepithelial lesions and carcinoma in situ -- Benign papillary neoplasms and inverted papilloma -- Pathology of urothelial carcinoma -- Glandular neoplasms -- Pathology of the urachus -- Squamous cell neoplasms -- Neuroendocrine tumors -- Myofibroblastic proliferations and tumors -- Soft tissue tumors -- Other rare malignancies -- Metastatic and secondary tumors -- Pathology of the renal pelvis and ureter -- Pathology of the urethra -- Immunohistochemistry in urothelial lesions. , English

Additional Edition: ISBN 1-107-12673-8

Language: English

URL: Volltext  (URL des Erstveröffentlichers)

URL: Volltext

URL: https://doi.org/10.1017/9781316411278

UID:

Format: 1 Online-Ressource (XIV, 722 p).

Edition: 2nd ed. 2023

ISBN: 978-3-031-35118-1

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35117-4

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35119-8

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35120-4

Language: English

DOI: 10.1007/978-3-031-35118-1

URL: Volltext  (URL des Erstveröffentlichers)

URL: https://doi.org/10.1007/978-3-031-35118-1

UID:

Format: 1 electronic resource (233 p.)

Content: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

Note: English

Additional Edition: ISBN 2-88966-333-7

Language: English

UID:

Format: 1 electronic resource (79 p.)

Content: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

Note: English

Additional Edition: ISBN 2-88945-929-2

Language: English