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Spatial Heterogeneity of Forest-Steppes
Forest-steppes occupy a wide zone between Eurasian closed canopy forests and open steppes and feature a mosaic of woody and herbaceous vegetation. Due to the occurrence of structurally, compositionally, and environmentally strongly different habitats in close proximity, high spatial heterogeneity is one of the key characteristics of forest-steppe ecosystems. This volume presents ten contributions examining forest-steppe heterogeneity and its effects on environmental factors, plant communities, and animals.
The Impacts of Climate Change and Human Activities on the Structure and Function of Wetland/Grassland Ecosystems
Wetlands and grassland are important components of natural ecosystems, which have rich values in maintaining ecological balance, regional economy and human development. Wetlands can provide freshwater resources and food sources for human beings, purify the water environment and mitigate climate change. The grassland ecosystem has such ecological functions as windbreak, sand fixation, soil preservation, climate regulation, air purification, water conservation and so on, which are closely related to human survival and well-being. In recent years, climate change and human activities have caused a profound impact on the structure and function of wetland and grassland ecosystems, and the problems of decline in size and function have attracted extensive attention from researchers globally. However, there are still many uncertainties about the variety of wetland and grassland ecosystem composition, structure and dynamics, as well as how they respond and adapt to climate change and human activities.
Advancement of Deep Learning and its Applications in Object Detection and Recognition
Object detection is a basic visual identification problem in computer vision that has been explored extensively over the years. Visual object detection seeks to discover objects of specific target classes in a given image with pinpoint accuracy and apply a class label to each object instance. Object recognition strategies based on deep learning have been intensively investigated in recent years as a result of the remarkable success of deep learning-based image categorization. In this book, we go through in detail detector architectures, feature learning, proposal generation, sampling strategies, and other issues that affect detection performance. The book describes every newly proposed novel...
Overcoming Physiologic Barriers to Treatments for Hematologic Malignancies by Molecularly Targeting the Tumor Microenvironment
Hematologic malignancies (HMs) represent a group of hematologic cancers originating from bone marrow or lymphoid organs. Currently, leukaemia, lymphoma, and multiple myeloma are the most common HMs. Conventional treatments for HMs include bone marrow transplantation, radiotherapy, chemotherapy, and immunotherapy. Despite the significant achievements obtained over the past decade in the drug therapy of HMs, tumor metastasis and relapse in patients often occurred after an initial response, indicating the generation of drug resistance to current therapies. Moreover, many clinically used therapeutic drugs are often associated with dose-related side effects and a lack of specificity to tumor tiss...
The Age of Courtly Writing
Scholarship on Xiao Tong in both China and the West has paid little attention to his own writings beyond the influential anthology compiled by the Liang Crown Prince. Adopting a philological approach, this book thorougly examines a multitude of texts written by Xiao Tong and his entourage, many of whom were powerful writers in their own right. In addition to drawing a picture of important aspects of Liang court culture such as education, literary composition, personal relations, and ideological and religious trends, this study also redresses a long-standing bias against court poetry. It will enhance our understanding not only of the early sixth-century but also, indirectly, of a significant portion of pre-modern Chinese literature in general.
Applications of Epidemiological Models to Public Health Policymaking
Mathematical models can be very helpful to understand the transmission dynamics of infectious diseases. This book presents examples of epidemiological models and modeling tools that can assist policymakers to assess and evaluate disease control strategies. Contents: Development and Analysis of Models for Infectious Diseases; Application of Models to Real Disease Data; User-Friendly Modeling Tools for Public Health Policymakers. Readership: Researchers in mathematical biology, mathematical modeling, infectious diseases and complex systems.
Cognitive Systems and Signal Processing
This book constitutes the refereed proceedings of the Third International Conference on Cognitive Systems and Signal Processing, ICCSIP2016, held in Beijing, China, in December 2016. The 59 revised full papers presented were carefully reviewed and selected from 171 submissions. The papers are organized in topical sections on Control and Decision; Image and Video; Machine Learning; Robotics; Cognitive System; Cognitive Signal Processing.
