The number of scientific publications is growing exponentially. Research articles cite other work for various reasons and, therefore, have been studied extensively to associate documents. It is argued that not all references carry the same level of importance. It is essential to understand the reason for citation, called citation intent or function. Text information can contribute well if new natural language processing techniques are applied to capture the context of text data. In this paper, we have used contextualized word embedding (...) to find the numerical representation of text features. We further investigated the performance of various machine-learning techniques on the numerical representation of text. The performance of each of the classifiers was evaluated on two state-of-the-art datasets containing the text features. In the case of the unbalanced dataset, we observed that the linear Support Vector Machine achieved 86% accuracy for the “background” class, where the training was extensive. For the rest of the classes, including “motivation,” “extension,” and “future,” the machine was trained on less than 100 records; therefore, the accuracy was only 57 to 64%. In the case of a balanced dataset, each of the classes has the same accuracy as trained on the same size of training data. Overall, SVM performed best on both of the datasets, followed by the stochastic gradient descent classifier; therefore, SVM can produce good results as text classification on top of contextual word embedding. (shrink)

Although the management and planning of water resources are extremely significant to human development, the complexity of implementation is unimaginable. To achieve this, the high-precision water consumption prediction is actually the key component of urban water optimization management system. Water consumption is usually affected by many factors, such as weather, economy, and water prices. If these impact factors are directly combined to predict water consumption, the weight of each perspective on the water consumption will be ignored, which will be greatly (...) detrimental to the prediction accuracy. Therefore, this paper proposes a deep neural network-based complex system for urban water management. The essence of it is to formulate a water consumption prediction model with the aid of principal component analysis and the integrated deep neural network, which is abbreviated as UWM-Id. The PCA classifies the factors affecting water consumption in the original data into three categories according to their correlation and inputs them into the neural network model. The results in the previous step are assigned weights and integrated into the form of fully connected layer. Finally, analyzing the sensitivity of the proposed UWM-Id and comparing its performance with a series of commonly used baseline methods for data mining, a large number of experiments have proved that UWM-Id has good performance and can be used for urban water management system. (shrink)

Hua-Ching Ni encourages each person to go beyond religion and theology in order to rediscover his or her own spiritual nature. He provides the tools with which one can unlock the spiritual treasures of the universe, lighting the way to internal and external harmony and fulfilment.

Ben shu chan shu de nei rong shi zhi shi zhong ya fang wen hua de shen tou yu jiao liu.

This book focuses on the study of heavy quarkonium production at high-energy colliders as a useful tool to explain both the perturbative and non-perturbative aspects of quantum choromodynamics. It provides the first comprehensive comparison between the theory and recent experiments and clarifies some longstanding puzzles in the heavy quarkonium production mechanism. In addition, it describes in detail a new framework for implementing precise computations of the physical observables in quantum field theories based on recently developed techniques. It can be used (...) to simulate the complicated collider environment of the Large Hadron Collider at the Conseil Européen pour la Recherche Nucléaire (CERN). Its accomplishment implies that the Monte Carlo simulations for high-energy physics experiments have reached the limits of precision. It offers readers a wealth of valuable information on the relevant techniques. (shrink)

Few studies have actually explored the impact of the COVID-19 pandemic on mental health in college students, although many studies have suggested that the COVID-19 pandemic poses a great threat to people’s mental health in many cohorts. Furthermore, college students may be a particularly vulnerable cohort that needs more attention and access to psychological services due to the psychological changes involved in the transition to college and the characteristics of college students’ study habits and lifestyle. Therefore, investigating the basic characteristics (...) of the impact of the COVID-19 pandemic on college freshmen is of great practical importance and has theoretical implications for the identification and provisioning of services to vulnerable cohorts. A total of 5,818 college freshmen completed the College Student Adaptability Inventory. The results suggest that the mean detection rate of the seven dimensions of undergraduate maladjustment to university is 27.13%. Specifically, livelihood self-management adaptability has the highest detection rate, while environmental general evaluation has the lowest detection rate. Moreover, the school adaptation of college freshmen is impacted by gender, number of siblings, and family socioeconomic status. Specifically, students who are female, an only child, and have a lower SES have lower levels of school adaptation. However, the school adaptation of college freshmen is not influenced by minority status or left-behind status. The findings of the present study suggest that the maladaptation of college freshmen has been a common phenomenon in China during the COVID-19 epidemic. Prevention programs may be most helpful if they pay more attention to effective intervention efforts for students who are female, an only child, and have a lower SES. (shrink)

This paper proposes an integral sliding mode control method of a class of uncertain chaotic systems with saturation inputs. Firstly, fuzzy logic system is used to estimate the unknown nonlinear function. Then, a disturbance observer is constructed to estimate a compound disturbance, which contains the external disturbance, the error of saturation input and control output, and the fuzzy estimation error. Subsequently, a proposed integral sliding mode controller can ensure that all signals of the closed-loop system are ultimately bounded, and based (...) on the dynamic system of the integral sliding mode variable itself, the ultimate bound of the tracking error can be estimated. Simulation results show that the proposed ISMC method is more effective than the traditional ISMC method. (shrink)

本书简要介绍了从明中叶至辛亥革命这一历史时期中国文化史上的主流思潮。全书按历史顺序分别评介了晚明人文主义思潮、明清之际启蒙主义思潮、嘉道之际实学思潮和19世纪末—20世纪初的新民思潮。.

We conducted this study in order to understand the extent to which Taiwanese social studies teachers are prepared to grapple with controversial issues in their classrooms. To do so, we employed a curricular-instructional gatekeeping framework to make meaning of teacher decisions and the contexts in which they work. We conducted semi-structured interviews with 18 preservice teachers and five university professors of teacher education in Taiwan. The findings suggest that writ large, social studies education in Taiwan is largely social science education (...) and within this context, preservice teachers have variable conceptualizations of controversial issues which are shaped by a wide variety of external forces that ultimately serve to undermine enactment of discussion. (shrink)

In this paper, the stabilization problem of nonholonomic chained-form systems is addressed with uncertain constants. In this paper, the active disturbance rejection control is designed to solve this problem. The proposed control strategy combines extended state observer and adaptive sliding mode controller. The control of nonholonomic chained-form systems with dynamic nonlinear uncertain terms and uncertain constants is first discussed in this paper. In comparison with existing methods, the proposed method in this paper has better performance. It is proved that, with (...) the application of the proposed control strategy, semiglobal finite-time stabilization of the systems is achieved. An example is given to illustrate the effectiveness of the proposed method. (shrink)

Ancient Chinese thought inquired primarily into how the achievement of things is possible rather than into what a thing as a thing is. It held that man should participate in the achieving or generation of things in order to realize his self-achievement. A thing is understood as an event. Because all things and man are united as one, it is possible for man to enter into things by tasting and feeling rather than by relying on the sense of sight. This (...) may provide a possible new means of rescuing things from the numericalization and phenomenalization that sweep over the world today. (shrink)

The construct of learned helplessness, as one of the noticeable emotional issues in education, has been investigated and approved its prominent place in education for its stimulus on students' accomplishment, enthusiasm, and commitment in learning. Moreover, the role of teachers as the most crucial issues in the learning viewpoint is at the center of attention since they help learners to be more motivated and provide a supportive context by caring. So, the current review of literature tries to emphasize teachers' care (...) and its effects on decreasing learned helplessness in EFL classrooms. The review of this study underscores the important role of the teachers' care and support in learners' improvement of learned helplessness that can be alleviated in this way. Afterward, some suggestions are offered to illuminate the exercise of teachers, learners, teacher trainers, and syllabus designers. (shrink)

Due to the crucial role of customers’ brand citizenship behaviors on brand strength, this study explored the relationship between brand uniqueness, brand credibility, brand intimacy, brand love, and brand citizenship behavior in Taiwan’s restaurant context. The participants are the customers of Wang Steak, a famous restaurant chain in Taiwan. A total of 358 valid responses were gathered from a questionnaire survey, with a response rate of 71.6%. We used structural equation modeling to analyze the data. Brand uniqueness, brand credibility, and (...) brand intimacy all have a positive relationship with brand love. Moreover, brand love was positively associated with brand citizenship behavior. The findings provide greater insights into the relationship of perceived brand uniqueness, brand credibility, brand intimacy, and brand love with customers’ brand citizenship behaviors. (shrink)

Learn to create personal harmony so that we are able to handle everyday situations gracefully with persons of the opposite sex, differing cultures, religions or opinions. This book is dedicated to those who respect and enjoy harmony in relationship with oneself and with other people of the world. Frank discussion about sex and celibacy, yin and yang, femininity and masculinity, fire and water, culture, history and government.

Many philosophers believe that it counts against one morally if one is close and good friends with a bad person. Some argue that one acts badly by counting a bad person as a good friend, because such friendships carry significant moral risks. Others locate the moral badness in one’s moral psychology, suggesting that one becomes objectionably complacent by being good friends with a bad person. In this paper, I argue that none of these accounts are plausible. In fact, I propose (...) that the starting intuition, that there is something pro tanto morally bad in being close and good friends with a bad person, does not track ethical reality. A person’s friend list isn’t at all in-principle informative of a person’s moral character. I also diagnose why we nonetheless have this mistaken intuition. I propose that friendships are fragmented in two crucial aspects. Once we observe these fragmentations, our initially mistaken intuition completely goes away. (shrink)

Naïve realism is the view that veridical experiences are fundamentally relations of acquaintance to external objects and their features, and multidisjunctivism is the conjunction of naïve realism and the view that hallucinatory experiences don’t share a common fundamental kind. Multidisjunctivism allegedly removes the screening-off worry over naïve realism, and the relevant literature suggests that multidisjunctivism is one of the naïve realist responses to the worry. The present paper argues that the multidisjunctive solution is implicitly changing the subject, so the impression (...) that the multidisjunctivist is addressing the screening-off problem is illusory. (shrink)

In the critically inherited Marxism, the Annales school and on the basis of the theory of dissipative structures, construction of a world system Wallerstein school's overall theory. Wallerstein's overall theory includes two aspects: First, the integrity of space and time. In space, the center of the modern world system is, semi-periphery and the edge of the composition of the three economic regions of the world economy or the nation-state form of the international system; in time, the modern world-system dynamic performance (...) of long-term trend and cycle rhythm . Another is the integrity of knowledge. An integrated multidisciplinary approach to construct an alternative history of interdisciplinary social sciences, natural sciences and humanities to eliminate the tension between and within different social science disciplines and between the spatial and temporal dimensions of the differences between the rules of the special theory and the binary opposition. Wallerstein's theory of deconstruction of the traditional whole social science disciplines in the national myth and myth, which we understand the history and reconstruction of historical system has important implications. By crtically inheriting Marxism, the Annales School and the Dissipative Structure Theory, Wallerstein constructs holism of world-system school, which is inclusive of two aspects: one is the entirety of TimeSpace; the other is the entirety of knowledge. In respect of space, modem world-system is constitutive of world economy or international system ; whereas in respect of time, the dynamic characteristics of modem world-system displays secular trends and the cyclical rhythms. As to the entirety of knowledge, Wallerstrin employs unidisicplinary approach in place of interdiscipline to construct historical social science whereby he intends to remove the tension between natural sciences and humanities, eliminates the TimeSpace dimension differences between various disciplines within social scieces, and dispels the dilemma between idiographic and nomothetic. Wallerstein's holism deconstructs the myth of nations and the myth of disciplines in traditional social science, which is of significant enlightment to the understanding of history and the reconstruction of historical system. (shrink)

Early and accurate diagnosis of glaucoma is critical for avoiding human vision deterioration and preventing blindness. A deep-neural-network model has been developed for the diagnosis of glaucoma based on Heidelberg retina tomography, called “Seeking Common Features and Reserving Differences Net” to make full use of the HRT data. In this work, the proposed SCRD-Net model achieved an area under the curve of 94.0%. For the two HRT image modalities, the model sensitivities were 91.2% and 78.3% at specificities of 0.85 and (...) 0.95, respectively. These results demonstrate a significant improvement over earlier results. In addition, we visualized the network outputs to develop an interpretation of the learned mechanism for discriminating glaucoma and normal images. Thus, the SCRD-Net can be an effective diagnostic indicator of glaucoma during clinical screening. To facilitate SCRD-Net utilization by the scientific community, the code implementation will be made publicly available. (shrink)

This book traces ideological trends in China through a range of historical and comparative perspectives, spanning the ancient belief systems of Confucianism, Legalism, and Taoism to political ideologies of the present day. Chapters in this edited volume are divided into four parts: traditional Chinese ideology, ideology of the Republic, Maoism as an ideology and post Mao ideology, zoning in on specific historical periods from the Qing and Republic periods to the reform era, as well as the period after the founding (...) of the PRC - through which Mao Zedong's political thought is notably discussed from the perspective of epistemology and the global impact of Maoism. Key topics include Sun Yat-sen as the Father of the Republic, Li Dazhao, the early Marxist theoretician, Chiang Kai-shek and his nationalist Fascism, Liang Qichao's emotional appeals through liberal political discourse, Jiang Zemin's theory of 'Three Represents' de-emphasising the Marxist concept of class, Hu Jintao's theory of 'Harmonious Society' and Xi Jinping's political thought. Contributions from world-leading scholars take both comparative and critical approaches, examining not only how studies of ideology are relevant, but how Chinese ideologies have retained their own characteristics distinct to the West. As the first comprehensive study of this subject in the English language, Chinese Ideologywill appeal to students and scholars of philosophy, political science, history, and Asian studies more broadly. (shrink)

This chapter contains sections titled: What Is Technology? Explicit Knowledge and Tacit Knowledge References and Further Reading.

Ben shu jie shao le gong zi zhen, wei yuan, yan fu, kang you wei, tan si tong, liang qi chao, chen tian hua, zhang bing lin deng wan qing si xiang jia de zhe xue si xiang.

Followership is an important but understudied domain. This study adopted a follower-centric perspective to examine the internal process by which followership affects creative performance via work autonomy and creative self-efficacy. The study employed a 3-wave survey of 341 employees of a Taiwanese university to achieve the research purpose. This study showed that effective followership is positively associated with employees’ work autonomy and creative self-efficacy. Work autonomy and creative self-efficacy mediate the relationship between effective followership and creative performance. This study’s empirical (...) findings provide an improved way of measuring followership and broaden our understanding of how followership triggers intrinsic motivation to facilitate creative performance. (shrink)

Because they are key components of aircraft, improving the safety, reliability and economy of engines is crucial. To ensure flight safety and reduce the cost of maintenance during aircraft engine operation, a prognostics and health management system that focuses on fault diagnosis, health assessment, and life prediction is introduced to solve the problems. Predicting the remaining useful life is the most important information for making decisions about aircraft engine operation and maintenance, and it relies largely on the selection of performance (...) degradation features. The choice of such features is highly significant, but there are some weaknesses in the current algorithm for RUL prediction, notably, the inability to obtain tendencies from the data. Especially with aircraft engines, extracting useful degradation features from multisensor data with complex correlations is a key technical problem that has hindered the implementation of degradation assessment. To solve these problems, deep learning has been proposed in recent years to exploit multiple layers of nonlinear information processing for unsupervised self-learning of features. This paper presents a deep learning approach to predict the RUL of an aircraft engine based on a stacked sparse autoencoder and logistic regression. The stacked sparse autoencoder is used to automatically extract performance degradation features from multiple sensors on the aircraft engine and to fuse multiple features through multilayer self-learning. Logistic regression is used to predict the remaining useful life. However, the hyperparameters of the deep learning, which significantly impact the feature extraction and prediction performance, are determined based on expert experience in most cases. The grid search method is introduced in this paper to optimize the hyperparameters of the proposed aircraft engine RUL prediction model. An application of this method of predicting the RUL of an aircraft engine with a benchmark dataset is employed to demonstrate the effectiveness of the proposed approach. (shrink)

A hallmark of skilled motor performance is behavioral flexibility – i.e., experts can not only produce a movement pattern to reliably achieve a given task goal, but also possess the ability to change that movement pattern to fit a new context. In this perspective article, we briefly highlight the factors that are critical to understanding behavioral flexibility, and its connection to movement variability, stability, and learning. We then address how practice strategies should be developed from a motor learning standpoint to (...) enhance behavioral flexibility. Finally, we highlight some important future avenues of work that are needed to advance our understanding of behavioral flexibility. We use examples from sport as a context to highlight these issues, especially in regard to elite performance and development. (shrink)

This chapter contains sections titled: What Is Technology Management/Management of Technology (MOT)? Significance of Technology Management New Endeavors in Management of Technology References and Further Reading.