This book is the first monograph in the field of uniqueness theory of meromorphic functions dealing with conditions under which there is the unique function satisfying given hypotheses. Developed by R. Nevanlinna, a Finnish mathematician, early in the 1920's, research in the field has developed rapidly over the past three decades with a great deal of fruitful results. This book systematically summarizes the most important results in the field, including many of the authors' own previously unpublished results. In addition, useful skills and simple proofs are introduced. This book is suitable for higher level and graduate students who have a basic grounding in complex analysis, but will also appeal to researchers in mathematics.

This monograph highlights the educational experiences of rural children who are 'left behind' by their migrant worker parents in China, analyzing how this situation impacts on their aspirations and self-identity. Via an ethnographic and qualitative case study of a rural school in southwest China, the author presents the real lives of these disadvantaged children along with their challenges and needs, and provides an in depth understanding of how being ‘left behind’ impacts on their future aspirations. Building on the sociological theories of Pierre Bourdieu, the author makes an original contribution by combining seemingly incompatible disciplinary perspectives, such as cultural capital from sociology, rational action from behavioral economics, and self-efficacy from psychology. Hence, the book endeavors to transfer these Western theories to an Eastern context and demonstrates cultural nuances that are not always captured when applied in the West. The book will attract academic scholars and postgraduate students in the area of socially disadvantaged children and young people as well as those who are working on youth studies and rural education.

This monograph highlights the educational experiences of rural children who are 'left behind' by their migrant worker parents in China, analyzing how this situation impacts on their aspirations and self-identity. Via an ethnographic and qualitative case study of a rural school in southwest China, the author presents the real lives of these disadvantaged children along with their challenges and needs, and provides an in depth understanding of how being 'left behind' impacts on their future aspirations. Building on the sociological theories of Pierre Bourdieu, the author makes an original contribution by combining seemingly incompatible disciplinary perspectives, such as cultural capital from sociology, rational action from behavioral economics, and self-efficacy from psychology. Hence, the book endeavors to transfer these Western theories to an Eastern context and demonstrates cultural nuances that are not always captured when applied in the West. The book will attract academic scholars and postgraduate students in the area of socially disadvantaged children and young people as well as those who are working on youth studies and rural education.

Multiscale Hydrologic Remote Sensing: Perspectives and Applications integrates advances in hydrologic science and innovative remote sensing technologies. Raising the visibility of interdisciplinary research on water resources, it offers a suite of tools and platforms for investigating spatially and temporally continuous hydrological variables and processes. Illustrated in color, this book examines components in the hydrologic cycle with a range of space and time scales. Organized into five parts, it explores hydrologic remote sensing at the local, urban, watershed, and regional scales, as well as the continental and global scale. Contributors address questions such as What are the local, watershed, and regional differences in soil moisture and evapotranspiration when using different measurement methods and models? How can we fit the scenarios of global warming potential and the remote sensing products of snow water equivalent into hydrologic modeling to address the changing flood and drought conditions in a watershed? How can we fuse the images collected by different satellites to improve the accuracy of predictions at the global scale? Tackling these and many other topics, the book presents new techniques and methods for spaceborne, airborne, and ground-based measurements and mathematical modeling. It also discusses remote sensing image processing tools and features a wealth of real-world applications and case studies. This book is a useful reference for students, professionals, scientists, and policy makers involved in the study of global change, hydrologic science, meteorology, climatology, biology, ecology, and the agricultural and forest sciences. It shows how hydrologic remote sensing technologies can be used more effectively to explore global change impacts and improve the design of hydrologic observatories.

The two-volume set CCIS 662 and CCIS 663 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition, CCPR 2016, held in Chengdu, China, in November 2016.The 121 revised papers presented in two volumes were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on robotics; computer vision; basic theory of pattern recognition; image and video processing; speech and language; emotion recognition.

The two-volume set CCIS 662 and CCIS 663 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition, CCPR 2016, held in Chengdu, China, in November 2016.The 121 revised papers presented in two volumes were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on robotics; computer vision; basic theory of pattern recognition; image and video processing; speech and language; emotion recognition.

Multiscale Hydrologic Remote Sensing: Perspectives and Applications integrates advances in hydrologic science and innovative remote sensing technologies. Raising the visibility of interdisciplinary research on water resources, it offers a suite of tools and platforms for investigating spatially and temporally continuous hydrological variables and processes.

Illustrated in color, this book examines components in the hydrologic cycle with a range of space and time scales. Organized into five parts, it explores hydrologic remote sensing at the local, urban, watershed, and regional scales, as well as the continental and global scale. Contributors address questions such as

• What are the local, watershed, and regional differences in soil moisture and evapotranspiration when using different measurement methods and models?
• How can we fit the scenarios of global warming potential and the remote sensing products of snow water equivalent into hydrologic modeling to address the changing flood and drought conditions in a watershed?
• How can we fuse the images collected by different satellites to improve the accuracy of predictions at the global scale?

Tackling these and many other topics, the book presents new techniques and methods for spaceborne, airborne, and ground-based measurements and mathematical modeling. It also discusses remote sensing image processing tools and features a wealth of real-world applications and case studies.

This book is a useful reference for students, professionals, scientists, and policy makers involved in the study of global change, hydrologic science, meteorology, climatology, biology, ecology, and the agricultural and forest sciences. It shows how hydrologic remote sensing technologies can be used more effectively to explore global change impacts and improve the design of hydrologic observatories.

This book is the first monograph in the field of uniqueness theory of meromorphic functions dealing with conditions under which there is the unique function satisfying given hypotheses. Developed by R. Nevanlinna, a Finnish mathematician, early in the 1920's, research in the field has developed rapidly over the past three decades with a great deal of fruitful results. This book systematically summarizes the most important results in the field, including many of the authors' own previously unpublished results. In addition, useful skills and simple proofs are introduced. This book is suitable for higher level and graduate students who have a basic grounding in complex analysis, but will also appeal to researchers in mathematics.

Radar Hydrology: Principles, Models, and Applications provides graduate students, operational forecasters, and researchers with a theoretical framework and practical knowledge of radar precipitation estimation. The only text on the market solely devoted to radar hydrology, this comprehensive reference: Begins with a brief introduction to radar Focuses on the processing of radar data to arrive at accurate estimates of rainfall Addresses advanced radar sensing principles and applications Covers radar technologies for observing each component of the hydrologic cycle Examines state-of-the-art hydrologic models and their inputs, parameters, state variables, calibration procedures, and outputs Discusses contemporary approaches in data assimilation Concludes with methods, case studies, and prediction system design Includes downloadable MATLAB (R) content Flooding is the #1 weather-related natural disaster worldwide. Radar Hydrology: Principles, Models, and Applications aids in understanding the physical systems and detection tools, as well as designing prediction systems.

Radar Hydrology: Principles, Models, and Applications provides graduate students, operational forecasters, and researchers with a theoretical framework and practical knowledge of radar precipitation estimation. The only text on the market solely devoted to radar hydrology, this comprehensive reference: Begins with a brief introduction to radar Focuses on the processing of radar data to arrive at accurate estimates of rainfall Addresses advanced radar sensing principles and applications Covers radar technologies for observing each component of the hydrologic cycle Examines state-of-the-art hydrologic models and their inputs, parameters, state variables, calibration procedures, and outputs Discusses contemporary approaches in data assimilation Concludes with methods, case studies, and prediction system design Includes downloadable MATLAB (R) content Flooding is the #1 weather-related natural disaster worldwide. Radar Hydrology: Principles, Models, and Applications aids in understanding the physical systems and detection tools, as well as designing prediction systems.

Applications of remote sensing technology for monitoring and predicting water-related hazards Water-related hazards such as floods and droughts have serious impacts on society. Their incidence has increased in recent decades, a trend set to continue with ongoing climate change. Adaptation and mitigation measures require accurate detection, monitoring, and forecasting, much of which comes from remote sensing technologies. Remote Sensing of Water-Related Hazards takes an interdisciplinary approach, presenting recent advances in the available data, sensors, models, and indicators developed for monitoring and prediction. Volume highlights include: Progress in remote sensing of precipitation, storms, and tornados Different techniques for flood mapping, forecasting, and early warning Integrated approach for predicting flood and landslide cascading hazards Satellite monitoring of water cycle variation, water scarcity, and drought conditions Multi-indicator and multi-sensor approaches for quantifying drought impacts The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

In this book we investigate mechanism of charge carrier transport in organic semiconductor thin film devices (OTFDs). Numerical models for the current conduction in single layer OTFDs including both injection and bulk effect for both trap free organics as well as organics with traps exponentially distributed in energy are developed. The dependencies of the current density on the operation voltage, the thickness of the organic layer and the trap properties are numerically studied.

Environmental remote sensing plays a critical role in observing key hydrological components such as precipitation, soil moisture, evapotranspiration and total water storage on a global scale. As water security is one of the most critical issues in the world, satellite remote sensing techniques are of particular importance for emerging regions which have inadequate in-situ gauge observations. This book reviews multiple remote sensing observations, the application of remote sensing in hydrological modeling, data assimilation and hydrological capacity building in emerging regions.