Social media greatly enables people to participate in online activities and shatters the barrier for online users to create and share information at any place at any time. However, the explosion of user-generated content poses novel challenges for online users to find relevant information, or,
This book highlights the use of one-dimensional transition metal oxides and their analogue nanomaterials for battery applications. The respective chapters present examples of one-dimensional nanomaterials with different architectures, as well as a wide range of applications, e.g. as electrode materials for batteries. The book also addresses various means of synthesizing one-dimensional nanomaterials, e.g. electrospinning, the Kirkendall effect, Ostwald ripening, heterogeneous contraction, liquid-phase preparation, the vapor deposition approach and template-assisted synthesis. In closing, the structural design, optimization and promotion of one-dimensional transition metal oxide electrode materials are discussed. The book chiefly focuses on emerging configurable designs, including core-shell architectures, hollow architectures and other intricate architectures. In turn, the applications covered reflect essential recent advances in many modern types of battery. Accordingly, the book offers an informative and appealing resource for a wide readership in various fields of chemical science, materials and engineering.
A journalist travels throughout mainland China and Taiwan in search of his family’s hidden treasure and comes to understand his ancestry as he never has before. In 1938, when the Japanese arrived in Huan Hsu’s great-great-grandfather Liu’s Yangtze River hometown of Xingang, Liu was forced to bury his valuables, including a vast collection of prized antique porcelain, and undertake a decades-long trek that would splinter the family over thousands of miles. Many years and upheavals later, Hsu, raised in Salt Lake City and armed only with curiosity, moves to China to work in his uncle’s semiconductor chip business. Once there, a conversation with his grandmother, his last living link to dynastic China, ignites a desire to learn more about not only his lost ancestral heirlooms but also porcelain itself. Mastering the language enough to venture into the countryside, Hsu sets out to separate the layers of fact and fiction that have obscured both China and his heritage and finally complete his family’s long march back home. Melding memoir, travelogue, and social and political history, The Porcelain Thief offers an intimate and unforgettable way to understand the complicated events that have defined China over the past two hundred years and provides a revealing, lively perspective on contemporary Chinese society from the point of view of a Chinese American coming to terms with his hyphenated identity.
After two years of marriage, he had regarded her as an enemy and had not touched her in the slightest. He had humiliated her in front of other women: "Si Wan, you are the most disgusting woman in the world." Faced with his callousness, she finally decided to leave. Who knew that he would be so domineering? He wrapped her in his arms and said, "Without my permission, who allowed you to leave?
Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type of optimization problem, and the alternating direction method of multipliers (ADMM) is a commonly used algorithm to solve constrained problems, especially linearly constrained ones. Written by experts in machine learning and optimization, this is the first book providing a state-of-the-art review on ADMM under various scenarios, including deterministic and convex optimization, nonconvex optimization, stochastic optimization, and distributed optimization. Offering a rich blend of ideas, theories and proofs, the book is up-to-date and self-contained. It is an excellent reference book for users who are seeking a relatively universal algorithm for constrained problems. Graduate students or researchers can read it to grasp the frontiers of ADMM in machine learning in a short period of time.
No wonder she said that she just wanted to use this Demon Catcher APP to earn some extra money and fill her stomach. She didn't want to be a Demon Catcher!During the Qing Dynasty's Jiaqing era, he brought along the system to catch demons and ascended to the peak. He became a top Demon Catcher and returned home in glory! However... Why did you come with me?
His life was turned upside down by his sudden acquisition of martial arts skills and clairvoyance. After Li Tianyi's blood accidentally touched a stone, the stone turned into a shining white light and entered his forehead. At this moment, a lot of knowledge about practicing martial arts appeared in Li Tianyi's mind, and at the same time, he also found that his eyes actually had a perspective function! As long as he looks at the plants with his divine eyes, the plants that were seedlings the day before will become fruitful the next day. Some men who were jealous of him in the village succumbed under his mighty force. With excellent martial arts and perspective eyes, Li Tianyi's life in the countryside is flourishing. ☆About the Author☆ Huan Shou Dao, a well-known online novelist, has authored many urban fantasy novels. He has rich imagination and creative skills, which loved by many readers.
This book discusses chemometric methods for spectroscopy analysis including NIR, MIR, Raman, NMR, and LIBS, from the perspective of practical applied spectroscopy. It covers all aspects of chemometrics associated with analytical spectroscopy, including representative sample selection algorithm, outlier detection algorithm, model updating and maintenance algorithm and strategy and calibration performance evaluation methods.To provide a systematic and comprehensive overview the latest progress of chemometric methods including recent scientific research and practical applications are presented. In addition the book also highlights the improvement of classical algorithms and the extension of common strategies. It is therefore useful as a reference book for researchers engaged in analytical spectroscopy technology, chemometrics, analytical instruments and other related fields.
This book provides a comprehensive review of functional nanomaterials for electrochemical applications, presenting interesting examples of nanomaterials with different dimensions and their applications in electrochemical energy storage. It also discusses the synthesis of functional nanomaterials, including quantum dots; one-dimensional, two-dimensional and three-dimensional nanostructures; and advanced nanocomposites. Highlighting recent advances in current electrochemical energy storage hotpots: lithium batteries, lithium-ion batteries, sodium-ion batteries, other metal-ion batteries, halogen ion batteries, and metal–gas batteries, this book will appeal to readers in the various fields of chemistry, material science and engineering.
This two-volume work introduces the theory and applications of Schur-convex functions. The second volume mainly focuses on the application of Schur-convex functions in sequences inequalities, integral inequalities, mean value inequalities for two variables, mean value inequalities for multi-variables, and in geometric inequalities.
Three years together, her whole being lost in the mists of love he had given her, how could she have known it was a lie, and the stakes were the most important thing in her life.Sister-in-law, forsaken, a year of suffering, wear out all her thoughts."She had been reborn with a sense of hatred, and her state of mind had long since changed. She slowly pushed away the fog, yet she was caught up in a huge conspiracy.
The thick night enveloped K City and the scorching hot temperature gradually cooled down Although the center was still noisy the residential area of South Flower City Road was not affected at all it was unusually quiet Occasionally people would pass by and chat or laugh
She, who had become the laughingstock of the entire city, left with hatred. After four years of tribulation, she proudly returned. She abused the scum of men and fought against evil, swearing to take back everything she lost. He, an accident, came into contact with her. With a responsible attitude, in the end ... "Yet, he had fallen into deep love." "Wen Shuyue, I feel that one son is enough. If I were to give birth to a few daughters, I wouldn't mind having too many." "He Si Ming, don't go too far. No matter how you look at it, I will still lose." "Then, where's the gift for buying a big one?
This book constitutes the refereed proceedings of the First International Symposium on Computational and Information Science, CIS 2004, held in Shanghai, China in December 2004. The 190 revised papers presented were carefully reviewed and selected from 450 submissions. The papers address virtually all computational and algorithmic aspects in various sciences, mathematics, and engineering as well as data and information engineering. The papers are organized in four main parts on high performance computing and algorithms, computational modeling and simulation, bioinformatics and medical informatics, and data engineering and information science.
This monograph explores the design of controllers that suppress oscillations and instabilities in congested traffic flow using PDE backstepping methods. The first part of the text is concerned with basic backstepping control of freeway traffic using the Aw-Rascle-Zhang (ARZ) second-order PDE model. It begins by illustrating a basic control problem – suppressing traffic with stop-and-go oscillations downstream of ramp metering – before turning to the more challenging case for traffic upstream of ramp metering. The authors demonstrate how to design state observers for the purpose of stabilization using output-feedback control. Experimental traffic data are then used to calibrate the ARZ model and validate the boundary observer design. Because large uncertainties may arise in traffic models, adaptive control and reinforcement learning methods are also explored in detail. Part II then extends the conventional ARZ model utilized until this point in order to address more complex traffic conditions: multi-lane traffic, multi-class traffic, networks of freeway segments, and driver use of routing apps. The final chapters demonstrate the use of the Lighthill-Whitham-Richards (LWR) first-order PDE model to regulate congestion in traffic flows and to optimize flow through a bottleneck. In order to make the text self-contained, an introduction to the PDE backstepping method for systems of coupled first-order hyperbolic PDEs is included. Traffic Congestion Control by PDE Backstepping is ideal for control theorists working on control of systems modeled by PDEs and for traffic engineers and applied scientists working on unsteady traffic flows. It will also be a valuable resource for researchers interested in boundary control of coupled systems of first-order hyperbolic PDEs.
This book is an accessible introduction to the study of detecting fake news on social media. The concepts, algorithms, and methods described in this book can help harness the power of social media to build effective and intelligent fake news detection systems. In the past decade, social media is becoming increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research that is attracting tremendous attention. From a data mining perspective, this book introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates advanced settings of fake news detection on social media. In particular, the authors discuss the value of news content and social context, as well as important extensions to handle early detection, weakly-supervised detection, and explainable detection. This is essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms.
In recent years, there has been a rapid growth of location-based social networking services, such as Foursquare and Facebook Places, which have attracted an increasing number of users and greatly enriched their urban experience. Typical location-based social networking sites allow a user to "check in" at a real-world POI (point of interest, e.g., a hotel, restaurant, theater, etc.), leave tips toward the POI, and share the check-in with their online friends. The check-in action bridges the gap between real world and online social networks, resulting in a new type of social networks, namely location-based social networks (LBSNs). Compared to traditional GPS data, location-based social networks data contains unique properties with abundant heterogeneous information to reveal human mobility, i.e., "when and where a user (who) has been to for what," corresponding to an unprecedented opportunity to better understand human mobility from spatial, temporal, social, and content aspects. The mining and understanding of human mobility can further lead to effective approaches to improve current location-based services from mobile marketing to recommender systems, providing users more convenient life experience than before. This book takes a data mining perspective to offer an overview of studying human mobility in location-based social networks and illuminate a wide range of related computational tasks. It introduces basic concepts, elaborates associated challenges, reviews state-of-the-art algorithms with illustrative examples and real-world LBSN datasets, and discusses effective evaluation methods in mining human mobility. In particular, we illustrate unique characteristics and research opportunities of LBSN data, present representative tasks of mining human mobility on location-based social networks, including capturing user mobility patterns to understand when and where a user commonly goes (location prediction), and exploiting user preferences and location profiles to investigate where and when a user wants to explore (location recommendation), along with studying a user's check-in activity in terms of why a user goes to a certain location.
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