Bestseller LET'S NOT LOVE by Kim Yong Ok in a Q&A dialogue style with a young man on various subjects of life in Korean society. Kim who is an artist, educator and philosopher uncovers his philosophical perspectives on adversities and challenges Koreans are facing from who will win in the coming presidential election to many social phenomenon and thoroughly overturns common wisdom and expectation. Rich in philosophy, ideology, history, language... In Korean. Annotation copyright Tsai Fong Books, Inc. Distributed by Tsai (...) Fong Books, Inc. (shrink)

Balanced time perspective is associated with optimal social functioning and facilitates adaptation to pressure and changes in the environment. Previous studies have found that mindfulness is positively associated with and might promote balanced time perspective. However, the mechanism through which mindfulness affects balanced time perspective remains unexplored. The purpose of the present study was to investigate the mediating role of self-compassion and subjective well-being in the relationship between mindfulness and balanced time perspective. A total of 754 Chinese college students, aged (...) 17–27 years, completed the Chinese versions of the Five-Facet Mindfulness Questionnaire, Self-Compassion Scale, Subjective Well-Being Scale, and Zimbardo Time Perspective Inventory. There were significant positive correlations between mindfulness, self-compassion, subjective well-being, and balanced time perspective. Structural equation modeling indicated that in addition to the direct influence of mindfulness on balanced time perspective, self-compassion and subjective well-being played a partial mediating role. On the basis of these findings, we conclude that mindfulness has an important positive influence on balanced time perspective, and highlight the crucial role of the self-compassion in cultivating an individual's balanced time perspective. Limitations of the present study are also discussed. (shrink)

Teacher emotion has become an important issue in English language teaching as it is a crucial construct in understanding teachers' responses to institutional policies. The study explored teachers' emotion labor and its impact on teachers' pedagogical decision-making in English for Specific Purposes teaching in a university of Traditional Chinese Medicine in China. Drawing on a poststructural perspective, the study examined data from two rounds of semi-structured interviews, policy documents and teaching artifacts. The analysis of data revealed that the major emotion (...) labor facing the participants revolved around students' disengagement in class. Teachers experienced mixed feelings of anticipation, disappointment, anger, and empathy toward students and distanced themselves from institutional feeling rules enforcing objective assessment of students' performance and punishing students for lack of engagement in class. The study found that teacher emotion labor served as the site for their pedagogical modifications. ESP teachers' beliefs in the importance of attending to students' needs become a powerful discourse in supporting teachers to strategically subvert institutional feeling rules and critically reflect on the dysfunctions of curriculum, orienting teachers' agentic actions in modifying pedagogical practices. We thus underscore this empowering discourse as the bridge to connect teachers' policy negotiation and their actual classroom practices. We also highlight teachers' pedagogical decision-making as a process of the interactions of teacher emotion, teachers' reflexive practices, and power relations. The study ended by suggesting more longitudinal research where teachers' beliefs as previously appropriated discourses could be examined comprehensively as they were both the construct of emotion labor and the potential subverting power in supporting teachers' pedagogical decision-making in policy negotiation. (shrink)

We construct a causal-modeling semantics for both indicative and counterfactual conditionals. As regards counterfactuals, we adopt the orthodox view that a counterfactual conditional is true in a causal model M just in case its consequent is true in the submodel M∗, generated by intervening in M, in which its antecedent is true. We supplement the orthodox semantics by introducing a new manipulation called extrapolation. We argue that an indicative conditional is true in a causal model M just in case its (...) con- sequent is true in certain submodels M∗, generated by extrapolating M, in which its antecedent is true. We show that the proposed semantics can account for some important minimal pairs nicely and naturally. We also prove a theorem showing under what conditions intervention and extrapolation will yield the same result, and thus explain how counterfactual and indicative conditionals would behave in a causal-modeling semantics. (shrink)

GraphicalPatients with early- to middle-stage PD were enrolled for C-Gait assessment and traditional walking ability assessments. The correlation of C-Gait assessment and traditional walking tests were studied. Two models were established based on C-Gait assessment and traditional walking tests to explore the value of C-Gait assessment in predicting freezing of gait.ObjectiveEfficient methods for assessing walking adaptability in individuals with Parkinson’s disease are urgently needed. Therefore, this study aimed to assess C-Gait for detecting freezing of gait in patients with early- to (...) middle-stage PD.MethodPeople with PD diagnosis were recruited from April 2019 to November 2019 in Beijing Rehabilitation Hospital. The participants performed six items of walking adaptability on an instrumented treadmill augmented with visual targets and obstacles. The patient’s walking adaptability was evaluated by C-Gait assessment and traditional walking tests, and FOG-related indexes were collected as outcome measures. Two discriminant models were established by stepwise discriminant analysis; area under the receiver operating characteristic curve was used to validate the models.ResultIn total, 53 patients were included in this study. Most C-Gait assessment items had no or low correlations with traditional walking tests. The obstacle avoidance and speed of adaptation items could lead to FOG with high sensitivity. In addition, the C-Gait assessment model had slightly better discrimination of freezers from non-freezers compared with traditional walking test models ; specifically, obstacle avoidance and speed of adaptation have uniquely discriminant potential.ConclusionC-gait assessment could provide additional value to the traditional walking tests for PD. Gait adaptability assessment, as measured by C-Gait, may be able to help identify freezers in a PD population. (shrink)

Inspired by the application of CycleGAN networks to the image style conversion problem Zhu et al., this paper proposes an end-to-end network, DefogNet, for solving the single-image dehazing problem, treating the image dehazing problem as a style conversion problem from a fogged image to a nonfogged image, without the need to estimate a priori information from an atmospheric scattering model. DefogNet improves on CycleGAN by adding a cross-layer connection structure in the generator to enhance the network’s multiscale feature extraction capability. (...) The loss function was redesigned to add detail perception loss and color perception loss to improve the quality of texture information recovery and produce better fog-free images. In this paper, the novel Defog-SN algorithm is presented. This algorithm adds a spectral normalization layer to the discriminator’s convolution layer to make the discriminant network conform to a 1-Lipschitz continuum and further improve the model’s stability. In this study, the experimental process is completed based on the O-HAZE, I-HAZE, and RESIDE datasets. The dehazing results show that the method outperforms traditional methods in terms of PSNR and SSIM on synthetic datasets and Avegrad and Entropy on naturalistic images. (shrink)

With the rapid development of Internet of Things technology, RFID technology has been widely used in various fields. In order to optimize the RFID system hardware deployment strategy and improve the deployment efficiency, the prediction of the RFID system identification rate has become a new challenge. In this paper, a neighborhood rough set and random forest combination model is proposed to predict the identification rate of an RFID system. Firstly, the initial influencing factors of the RFID system identification rate are (...) reduced using neighborhood rough set theory combined with the principle of heuristic attribute reduction of neighborhood weighted dependency, thus obtaining a kernel factor subset. Secondly, a random forest prediction model is established based on the kernel factor subset, and a confusion matrix is established using out-of-bag data to evaluate the prediction results. The test is conducted under the constructed RFID experimental environment, whose results showed that the model can predict the identification rate of the RFID system in a fast and efficient way, and the classification accuracy can reach 90.5%. It can effectively guide the hardware deployment and communication parameter protocol setting of the system and improve the system performance. Compared with BP neural network and other prediction models, NRS-RF has shorter prediction time and faster calculation speed. Finally, the validity of the proposed model was verified by the RFID intelligent archives management platform. (shrink)

Educational institutions have failed to achieve desired goals due to the lack of technology adoption, and this situation needs researchers’ emphasis. Hence, the current study examines the impact of digitalization and digital competencies among students on the educational performance of low-income college students in China. The article also investigates the moderating impact of parental support at the nexus of digitalization, digital competencies among students, and educational performance in low-income college students in China. The questionnaires were used by the researchers to (...) gather the data from the selected respondents. The article has applied the smart-PLS to check the linkage among understudy constructs and test the hypotheses. The results revealed that digitalization and digital competencies among students positively link educational performance. The results also exposed that parental support significantly moderates digitalization, digital competencies, and educational performance in low-income college students in China. This article helps policymakers develop policies to improve educational performance using technology adoption. (shrink)

juan 1. Shaoqu Feng xian sheng -- juan 2. Zhongfu Wang xian sheng -- juan 3-4. Erqu Li xian sheng.

This article introduces a satellite technology, High Resolution Picture Transmission (HRPT), for a science activity. HRPT is a digital data stream transmitted from environmental satellites. The HRPT imagery is capable of providing real-time studies of regional geology, glacial processes, atmospheric processes, ocean circulation, coastal processes, hydrology, and so on. Obtaining and manipulating HRPT data creates a variety of exciting experiences in science classrooms. A Science and Technology for Individuals, Societies, and the Environment (STISE) teaching model was developed to use satellite (...) technologies for science activities. STISE is a conceptual model for addressing key cognitive and affective parameters when designing science lessons. STISE is designed to encourage students to understand science and technology from their levels of cognition, then relate their understanding to the environment, levels of societies, and their lives. Relationships among science, technology, and society become both obvious and interesting to students as they process and interpret the HRPT imagery. (shrink)