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1000 tulosta hakusanalla Jin Li

Hero Academy: Oxford Level 2, Red Book Band: Jin Lifts Off

Hero Academy: Oxford Level 2, Red Book Band: Jin Lifts Off

Rachel Little

Oxford University Press
2018
nidottu
Project X Hero Academy is a fully decodable and finely levelled reading series set in a school for superheroes, designed to captivate and motivate all young readers and turn them into reading superheroes. Jin Lifts Off is in Red Book Band, Oxford Level 2, and supports Letters and Sounds Phase 3 (Set 6). In this story, Jin has a flying test in PE, but as he ducks, dips, twists and spins around the course, he disturbs Slink, the school cat, who is trying to nap. Will Slink manage to get his own back? Each book can be used for independent reading, but also contains inside cover notes that include help on developing vocabulary and prompt questions that can be used for guided reading and one-to-one sessions. Full guided reading notes are provided in the corresponding handbook. There are also a range of follow-up activities to support reading for pleasure.
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Spatial Predictive Modeling with R

Spatial Predictive Modeling with R

Jin Li

TAYLOR FRANCIS LTD
2022
sidottu
Spatial predictive modeling (SPM) is an emerging discipline in applied sciences, playing a key role in the generation of spatial predictions in various disciplines. SPM refers to preparing relevant data, developing optimal predictive models based on point data, and then generating spatial predictions. This book aims to systematically introduce the entire process of SPM as a discipline. The process contains data acquisition, spatial predictive methods and variable selection, parameter optimization, accuracy assessment, and the generation and visualization of spatial predictions, where spatial predictive methods are from geostatistics, modern statistics, and machine learning. The key features of this book are: •Systematically introducing major components of SPM process.•Novel hybrid methods (228 hybrids plus numerous variants) of modern statistical methods or machine learning methods with mathematical and/or univariate geostatistical methods.•Novel predictive accuracy-based variable selection techniques for spatial predictive methods.•Predictive accuracy-based parameter/model optimization.•Reproducible examples for SPM of various data types in R.This book provides guidelines, recommendations, and reproducible examples for developing optimal predictive models by considering various components and associated factors for quality-improved spatial predictions. It provides valuable tools for researchers, modelers, and university students not only in SPM field but also in other predictive modeling fields. Dr Li has produced over 100 various publications in spatial predictive modelling, statistical computing, ecological and environmental modelling, and ecology, developed a number of hybrid methods for SPM, and published four R packages for variable selections as well as SPM.
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Spatial Predictive Modeling with R

Spatial Predictive Modeling with R

Jin Li

TAYLOR FRANCIS LTD
2024
nidottu
Spatial predictive modeling (SPM) is an emerging discipline in applied sciences, playing a key role in the generation of spatial predictions in various disciplines. SPM refers to preparing relevant data, developing optimal predictive models based on point data, and then generating spatial predictions. This book aims to systematically introduce the entire process of SPM as a discipline. The process contains data acquisition, spatial predictive methods and variable selection, parameter optimization, accuracy assessment, and the generation and visualization of spatial predictions, where spatial predictive methods are from geostatistics, modern statistics, and machine learning. The key features of this book are: •Systematically introducing major components of SPM process.•Novel hybrid methods (228 hybrids plus numerous variants) of modern statistical methods or machine learning methods with mathematical and/or univariate geostatistical methods.•Novel predictive accuracy-based variable selection techniques for spatial predictive methods.•Predictive accuracy-based parameter/model optimization.•Reproducible examples for SPM of various data types in R.This book provides guidelines, recommendations, and reproducible examples for developing optimal predictive models by considering various components and associated factors for quality-improved spatial predictions. It provides valuable tools for researchers, modelers, and university students not only in SPM field but also in other predictive modeling fields. Dr Li has produced over 100 various publications in spatial predictive modelling, statistical computing, ecological and environmental modelling, and ecology, developed a number of hybrid methods for SPM, and published four R packages for variable selections as well as SPM.
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Cultural Foundations of Learning

Cultural Foundations of Learning

Jin Li

Cambridge University Press
2012
pokkari
Western and East Asian people hold fundamentally different beliefs about learning that influence how they approach child rearing and education. Reviewing decades of research, Dr Jin Li presents an important conceptual distinction between the Western mind model and the East Asian virtue model of learning. The former aims to cultivate the mind to understand the world, whereas the latter prioritizes the self to be perfected morally and socially. Tracing the cultural origins of the two large intellectual traditions, Li details how each model manifests itself in the psychology of the learning process, learning affect, regard of one's learning peers, expression of what one knows and parents' guiding efforts. Despite today's accelerated cultural exchange, these learning models do not diminish but endure.
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Cultural Foundations of Learning

Cultural Foundations of Learning

Jin Li

Cambridge University Press
2012
sidottu
Western and East Asian people hold fundamentally different beliefs about learning that influence how they approach child rearing and education. Reviewing decades of research, Dr Jin Li presents an important conceptual distinction between the Western mind model and the East Asian virtue model of learning. The former aims to cultivate the mind to understand the world, whereas the latter prioritizes the self to be perfected morally and socially. Tracing the cultural origins of the two large intellectual traditions, Li details how each model manifests itself in the psychology of the learning process, learning affect, regard of one's learning peers, expression of what one knows and parents' guiding efforts. Despite today's accelerated cultural exchange, these learning models do not diminish but endure.
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The Self in the West and East Asia

The Self in the West and East Asia

Jin Li

JOHN WILEY AND SONS LTD
2024
sidottu
From the fraught world of geopolitics to business and the academy, it’s more vital than ever that Westerners and East Asians understand how each other thinks. As Jin Li shows in this groundbreaking work, the differences run deep. Li explores the philosophical origins of the concept of self in both cultures and synthesizes her findings with cutting-edge psychological research to reveal a fundamental contrast. Westerners tend to think of the self as being, as a stable entity fixed in time and place. East Asians think of the self as relational and embedded in a process of becoming. The differences show in our intellectual traditions, our vocabulary, and our grammar. They are even apparent in our politics: the West is more interested in individual rights and East Asians in collective wellbeing. Deepening global exchanges may lead to some blurring and even integration of these cultural tendencies, but research suggests that the basic self-models, rooted in long-standing philosophies, are likely to endure. The Self in the West and East Asia is an enriching and enlightening account of a crucial subject at a time when relations between East and West have moved center-stage in international affairs.
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Cameras and Display Systems Towards Photorealistic 3D Holography

Cameras and Display Systems Towards Photorealistic 3D Holography

Jin Li; Jintao Hong; Yi Zhang; Xiaoxun Li; Zilong Liu; Yanyan Liu; Daping Chu

Springer International Publishing AG
2023
sidottu
This book presents recent advances in three-dimensional (3D) imaging and display frameworks, encompassing three categories of 3D imaging and display technologies. The first category is nonphotorealistic 3D approaches based on conventional optical cameras to implement 3D stereoscopic observation of a scene. In the context of nonphotorealistic 3D imaging and reconstruction systems, the authors introduce general principles and also demonstrate camera calibration for 3D imaging, smart cameras, and full-link imaging methods using the optical modulation transfer function to improve imaging quality in conventional cameras. The second category is based on light-ray light field technology to achieve photorealistic 3D imaging and displays. In the context of light-ray light field systems, two approaches capable of light-ray light field 3D imaging by utilizing a camera array or a lens array are demonstrated. Accordingly, light-ray light field display approaches comprising head-mounted displays and integral displays are also introduced. The third category is also photorealistic 3D imaging and display technology, which is based on holography (i.e., diffraction or wavefront light field). In the corresponding holographic displays, the authors introduce 3D holographic displays from three elements: algorithms, devices, and systems, involving fast hologram generation algorithms, wide-viewing-angle display systems, and metasurface holography, etc. Including an investigative roadmap for future progress in optical imaging and 3D display systems, this book is essential reading for scientists and engineers in academia and industry who are interested in next-generation imaging and display concepts for 3D visual sensing systems.
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Cameras and Display Systems Towards Photorealistic 3D Holography

Cameras and Display Systems Towards Photorealistic 3D Holography

Jin Li; Jintao Hong; Yi Zhang; Xiaoxun Li; Zilong Liu; Yanyan Liu; Daping Chu

Springer International Publishing AG
2024
nidottu
This book presents recent advances in three-dimensional (3D) imaging and display frameworks, encompassing three categories of 3D imaging and display technologies. The first category is nonphotorealistic 3D approaches based on conventional optical cameras to implement 3D stereoscopic observation of a scene. In the context of nonphotorealistic 3D imaging and reconstruction systems, the authors introduce general principles and also demonstrate camera calibration for 3D imaging, smart cameras, and full-link imaging methods using the optical modulation transfer function to improve imaging quality in conventional cameras. The second category is based on light-ray light field technology to achieve photorealistic 3D imaging and displays. In the context of light-ray light field systems, two approaches capable of light-ray light field 3D imaging by utilizing a camera array or a lens array are demonstrated. Accordingly, light-ray light field display approaches comprising head-mounted displays and integral displays are also introduced. The third category is also photorealistic 3D imaging and display technology, which is based on holography (i.e., diffraction or wavefront light field). In the corresponding holographic displays, the authors introduce 3D holographic displays from three elements: algorithms, devices, and systems, involving fast hologram generation algorithms, wide-viewing-angle display systems, and metasurface holography, etc. Including an investigative roadmap for future progress in optical imaging and 3D display systems, this book is essential reading for scientists and engineers in academia and industry who are interested in next-generation imaging and display concepts for 3D visual sensing systems.
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Privacy-Preserving Machine Learning

Privacy-Preserving Machine Learning

Jin Li; Ping Li; Zheli Liu; Xiaofeng Chen; Tong Li

SPRINGER VERLAG, SINGAPORE
2022
nidottu
This book provides a thorough overview of the evolution of privacy-preserving machine learning schemes over the last ten years, after discussing the importance of privacy-preserving techniques. In response to the diversity of Internet services, data services based on machine learning are now available for various applications, including risk assessment and image recognition. In light of open access to datasets and not fully trusted environments, machine learning-based applications face enormous security and privacy risks. In turn, it presents studies conducted to address privacy issues and a series of proposed solutions for ensuring privacy protection in machine learning tasks involving multiple parties. In closing, the book reviews state-of-the-art privacy-preserving techniques and examines the security threats they face.
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The Price and Promise of Specialness

The Price and Promise of Specialness

Jin Li Lim

BRILL
2019
sidottu
In The Price and Promise of Specialness, Jin Li Lim revises narratives on the overseas Chinese and the People’s Republic of China by analysing the Communist approach to ‘overseas Chinese affairs’ in New China’s first decade as a function of a larger political economy. Jin Li Lim shows how the party-state centred its approach towards the overseas Chinese on a perception of their financial utility and thus sought to offer them a special identity and place in New China, so as to unlock their riches. Yet, this contradicted the quest for socialist transformation, and as its early pragmatism fell away, the radicalising party-state abandoned its promises to the overseas Chinese, who were left to pay the price for their difference.
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Cooperative Control of Nonlinear Multiagent Systems

Cooperative Control of Nonlinear Multiagent Systems

Jin-Liang Wang; Shun-Yan Ren; Huai-Ning Wu; Tingwen Huang

ELSEVIER SCIENCE PUBLISHING CO INC
2024
nidottu
Cooperative Control for Nonlinear Multiagent Systems: Passivity-Based and Non-Passivity-Based Approaches focuses on the cooperative control of nonlinear multiagent systems containing passivity-based or non-passivity-based consensus, lag consensus, and formation control of multiagent systems. The book provides professional and convenient guidance for those who want to know basic knowledge, advancements, and processes for designing and analyzing cooperative control for nonlinear multiagent systems. Currently, there are a lack of reference titles that systematically introduce students, researchers, and technologists to the backgrounds, developments, and designs protocols for cooperative control (contains passivity-based or not passivity-based consensus, lag consensus, formation control) of nonlinear multiagent systems.
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Faculty Mobility

Faculty Mobility

Jin Liu; Alan C.K. Cheung; Fan-Sing Hung

TAYLOR FRANCIS LTD
2022
sidottu
Adopting curriculum vitae (CV) analysis method, this book collects CVs of university faculty from 109 universities of "The Double First Class University Plan" in China, and systematically analyses the mobility pattern of faculty in China for the first time. Examining the overall mobility frequency of Chinese faculty and its growing rate, the authors predict that after the epidemic, with the growing number of returned overseas talents, there may be a third wave of faculty mobility. They demonstrate that East Asia, the United States and Europe are the main channels for the inward talent mobility to China, and there are significant differences in China’s faculty mobility among different regions, disciplines and genders, which deserves further investigation. Furthermore, they argue the influencing factors of faculty mobility between China and foreign countries are highly different too.Scholars and students of Chinese higher education, international and comparative education may find this book helpful, and benefit from the analysis framework of Push and Pull Theory as long as CV analysis method.
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Faculty Mobility

Faculty Mobility

Jin Liu; Alan C.K. Cheung; Fan-sing Hung

TAYLOR FRANCIS LTD
2024
nidottu
Adopting curriculum vitae (CV) analysis method, this book collects CVs of university faculty from 109 universities of "The Double First Class University Plan" in China, and systematically analyses the mobility pattern of faculty in China for the first time. Examining the overall mobility frequency of Chinese faculty and its growing rate, the authors predict that after the epidemic, with the growing number of returned overseas talents, there may be a third wave of faculty mobility. They demonstrate that East Asia, the United States and Europe are the main channels for the inward talent mobility to China, and there are significant differences in China’s faculty mobility among different regions, disciplines and genders, which deserves further investigation. Furthermore, they argue the influencing factors of faculty mobility between China and foreign countries are highly different too.Scholars and students of Chinese higher education, international and comparative education may find this book helpful, and benefit from the analysis framework of Push and Pull Theory as long as CV analysis method.
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Dynamical Behaviors of Multiweighted Complex Network Systems

Dynamical Behaviors of Multiweighted Complex Network Systems

Jin-Liang Wang; Shun-Yan Ren; Huai-Ning Wu; Tingwen Huang

JOHN WILEY SONS INC
2024
sidottu
Highly comprehensive resource for studying neural networks, complex networks, synchronization, passivity, and associated applications Dynamical Behaviors of Multiweighted Complex Network Systems discusses the dynamical behaviors of various multiweighted complex dynamical networks, with detailed insight on synchronization for directed and undirected complex networks (CNs) with multiple state or delayed state couplings subject to recoverable attacks, along with passivity and synchronization for coupled neural networks with multi-weights (CNNMWs) by virtue of devised proportional-integral-derivative (PID) controllers. The book also investigates finite-time synchronization (FTS) and H-infinity synchronization for two types of coupled neural networks (CNNs) and focuses on finite-time passivity (FTP) and finite-time synchronization (FTS) for complex dynamical networks with multiple state/derivative couplings based on the proportional-derivative (PD) control method. Final chapters consider finite-time output synchronization and H-infinity output synchronization problems, and multiple weighted coupled reaction-diffusion neural networks (CRDNNs) with and without coupling delays. Other topics covered in Dynamical Behaviors of Multiweighted Complex Network Systems include: Criteria of FTP for complex dynamical networks with multiple state couplings (CDNMSCs), formulated by utilizing the PD controller Finite-time passivity (FTP) concepts for the spatially and temporally systems with different dimensions of output and input FTS and finite time H-infinity synchronization problems for CDNs with multiple state/derivative couplings by utilizing state feedback control approach and selecting suitable parameter adjustment schemes Adaptive output synchronization and output synchronization of CDNs with multiple output or output derivative couplings, and other adaptive control schemes Enabling readers to understand foundational concepts and grasp the latest research, Dynamical Behaviors of Multiweighted Complex Network Systems is essential for all who study neural networks, complex networks, synchronization, passivity, and their applications.
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