Technological products such as computer, communication, and consumer electronic products, apps, smart wearables, and streaming services have become inseparable from people’s lives. In technological fields of practice, imagination, creativity, innovation, and entrepreneurship may influence one another. A vivid imagination can generate creativity and trigger the entrepreneurial intention to “bring new things to the market.” This study aims to understand the formation of internet entrepreneurial intention to use technology products. Drawing on social cognitive theory, this study explores and empirically tests how (...) technology product imagination disposition and social support impact internet entrepreneurial intention to use technology products. Drawing from self-determination theory, this study proposes and examines the mediating role of intrinsic and extrinsic motivation in the relationship between technology product imagination disposition and internet entrepreneurial intention, as well as the relationship between social support and internet entrepreneurial intention. We conducted a survey of 568 adults in Taiwan and used partial least squares to test our hypotheses. The results show the following: Technology product imagination disposition is positively associated with challenge, enjoyment, compensation, and outward motivation. Social support is positively associated with challenge, enjoyment, compensation, and outward motivation. Challenge, enjoyment, and outward motivation are positively associated with internet entrepreneurial intention to use technology products. Technology product imagination disposition intensifies internet entrepreneurial intention to use technology products by strengthening challenge, enjoyment, and outward motivation. Social support intensifies internet entrepreneurial intention by increasing challenge, enjoyment, and outward motivation. The partial mediation model represents a significant improvement in the total effect over the direct effect. We discuss the implications of these results for research and internet entrepreneurship practices. (shrink)

Prediction is one of the major challenges in complex systems. The prediction methods have shown to be effective predictors of the evolution of networks. These methods can help policy makers to solve practical problems successfully and make better strategy for the future. In this work, we focus on exporting countries’ data of the International Trade Network. A recommendation system is then used to identify the products that correspond to the production capacity of each individual country but are somehow overlooked by (...) the country. Then, we simulate the evolution of the country’s fitness if it would have followed the recommendations. The result of this work is the combination of these two methods to provide insights to countries on how to enhance the diversification of their exported products in a scientific way and improve national competitiveness significantly, especially for developing countries. (shrink)

「法律系最讓人景仰的人格」「不上他的課會後悔一輩子」 開課三十年屹立不搖 人氣爆棚 學生零負評感動推薦 臺大法律系教授黃榮堅 暢談獨到的法學人生經驗 當法律淪為以口說形式取代心靈的真實感覺和冷靜的思考， 當公平正義的概念變成擴大對立的口號， 不懂得思考，別說你知道法律是什麼 全民共讀法律、建構獨立思維的必備書 法律對人在內心究竟選擇自己要做天使或做魔鬼，天生無能為力。 靈魂可能背叛法律，也可能超越法律， 在一樣的法律概念底下， 是人心中的善念或惡念決定了法律意義的質與量。 ——黃榮堅 ---------------------------------------------------------------------------------------------------- 今日社會裡的每個人或多或少都是一個法律人，一個好的法律人要知道人的一百種不一樣的快樂跟一百種不一樣的痛苦，這些快樂與痛苦就是法律學理上每一個原則背後的故事。 黃榮堅教授以數十年的研究經驗，敘述法律規範與自由之心的關係。書中先從法律觀點說明法律的基本作用、法律的理想與現實，以及認識法律的方法。接著跳脫法律說法，從帶著理想色彩的整體生命意會說出對法律及其現實文 化的思想與疑慮，並呈現法律在人一旦失去靈魂時可能陷入的困境。最後則提出，只有透過一顆具存在意義、能夠自由思考的人心，法律才可能呈現宜人風貌。 本書讓法律人重新認識自我的原始圖像，也讓非法律人探索規範世界的意義，除鋪陳作者幾十年來看待法律的心情轉折，亦帶有一種「遠離法律看法律」的意思。 ------------------------------------------------------------------------------------- ◎好的法學教師，讓人學會解題；優秀的法學教授，讓人渴望創造改變；頂級的法學者，讓人換一種角度看世界。黃榮堅教授，正是難得的頂級法學者之一。而這樣的法學者，願意寫一本通俗讀物，將是台灣公共討論深化的契機 。我至今記得，初學法律時，在台大舊法學院圖書部翻閱《刑罰的極限》一書序文，內心的感動與震撼。我相信本書不僅適合所有非法律人閱讀，更值得內心有所迷惘的法律人細細品味。 ——苗博雅，《阿苗帶風向》主持人 ◎本書談的是法律、法哲學等嚴肅命題，但為文如行雲流水，予人自然開朗，洗鍊通達的感覺。文中涉及較抽象的法律概念時，亦每能舉重若輕，就近取譬，不經意間穿插自己有趣的人生小體驗，或各國古今文哲著作小故事，讓 人在莞爾中豁然開朗。 ——高瑞錚，福田法律事務所負責人、福田文教基金會董事長 ◎不需要懂法律也看得懂的好書！ ——徐自強，司改會工作人員，徐自強案當事人 ◎大師出手的經典法普著作。作者以其敏銳觀察力與深邃的人文法律素養，用素樸卻富魔力的語言，配上令人或揪心或莞爾的案例，深入淺出，刺激你進行一次次的正義的思辨，認識「人生有多難，法律就有多難」的法律世界。 ——許宗力，國立臺灣大學法律系兼任教授 ◎這本書讀完之後，我一直問自己：如果我在開始當法官之前就讀過它，如果我早一點讀過它，這一條法官的路我會不會走得比較不坎坷一點？我會不會有更多的勇氣、更堅定的念頭去面對過往圈內的光怪陸離？我會不會早一點 開始進行實務圈不鼓勵的獨立思考？我能不能早一些擺脫年輕的銳氣和氣盛？會不會讓我冤枉被告的可能性低一點？ ——陳欽賢，台南地方法院法官 ◎艱深法律知識透過作者堅實學術素養轉譯為公眾可以理解的啟發性內容，是值得最高度推薦的法律知識普及性專書。 ——陳東升，台灣大學社會學系教授 ◎這本書好像是在談法律，其實是在說人生。 ——張娟芬，作家 ◎從人民的生活常識出發，帶領讀者進入法律與正義的思辨殿堂。 ——黃國昌，立法委員 出版社 商周出版 (城邦).

Ben shu wei wo she chong dian tu shu hua xia wen ku ru xue shu xi zhong di yi ben. Gai shu yi jian ming de wen zi gou le le Gu Yanwu, Wang Fuzhi, Huang Zongxi san wei Ming mo da ru sheng huo de shi dai bei jing, hong ru de sheng ping jing li, ta men de xue shu zao yi (zhu yao zhi ta men zai ru xue fang mian de cheng jiu), cheng yu (...) jiao you yi ji san wei zai li shi shang de di wei he gong xian, ta men ren sheng de kan ke du lai ling ren bu sheng xi. (shrink)

This paper focuses on the problem of target tracking using k fittest robots in a group of n mobile robots with n>k. We present centralized and distributed coordination models with all-to-all and limited communications, respectively. For the case of all-to-all communication between robots, theoretical analysis is presented to prove the exponential stability of the whole system. In real applications of robotic networks, a robot may only be allowed to exchange information with a limited number of neighbors. In such a limited (...) communication case where centralized quantity is not available, a consensus filter is used to estimate the centralized quantities in a distributed way, and a distributed competitive target tracking is thus achieved. The stability of the distributed control is also proved in theory. Finally, illustrative examples are provided and analyzed to substantiate the efficacy of the proposed models for tracking moving target in a competition manner with all-to-all communications and limited communications. (shrink)

Reinforcement learning relies on the reward prediction error (RPE) signals conveyed by the midbrain dopamine system. Previous studies showed that dopamine plays an important role in both positive and negative reinforcement. However, whether various reinforcement processes will induce distinct learning signals is still unclear. In a probabilistic learning task, we examined RPE signals in different reinforcement types using an electrophysiology index, namely, the feedback-related negativity (FRN). Ninety-four participants were randomly assigned into four groups: base (no money incentive), positive reinforcement (presentation (...) of money rewards), negative reinforcement (removal of money losses), and combined reinforcement (money rewards and removal of money losses) groups. In addition, in order to evaluate the engagement of emotional activity in the different reinforcement processes, Positive and Negative Affect Schedule-Expanded Form (PANAS-X) scales were applied before and after the experiment to detect the emotional changes. The results showed that there was no difference between groups in the dopamine-related learning bias. However, compared to the other three groups, negative reinforcement elicited smaller FRN (the difference-wave measure) during the learning, stronger positive affect and joviality, and less fatigue after the learning, in which the difference between the negative and positive reinforcement groups was smaller. The results indicated that pure avoidance motivation may induce distinct emotional fluctuations, which influence the feedback processing. (shrink)

本书立足《新唯识论》在近现代中国哲学发展历程中的曲折际遇，深入剖析了熊十力在本体论、心性论、方法论、修养论等层面所进行的儒佛会通的理论建构尝试，特别阐发他以唯识学反思儒家传统的思想特色、致思路向及其对 现代新儒家的影响，从而彰显《新唯识论》独特的学术价值和思想意义。.

ObjectivePrevious studies have demonstrated altered brain activity in strabismic amblyopia. In this study, low-frequency repetitive transcranial magnetic stimulation was applied in children with strabismic amblyopia after they had undergone strabismus surgery. The effect of rTMS was investigated by measuring the changes of brain features using the amplitude of low-frequency fluctuation.Materials and MethodsIn this study, 21 SA patients were recruited based on their age, weight, and sex. They all had SA in their left eyes and they received rTMS treatment one month (...) after strabismus surgery. Their vision before and after surgery were categorized as pre-rTMS and post-rTMS. All participants received rTMS treatment, underwent magnetic resonance imaging, and their data were analyzed using the repeated measures t-test. The team used correlation analysis to explore the relationship between logMAR visual acuity and ALFF.ResultsPre- versus post-rTMS values of ALFF were significantly different within individuals. In the POT group, ALFF values were significantly decreased in the Angular_R, Parietal_Inf_L, and Cingulum_Mid_R while ALFF values were significantly increased in the Fusiform_R and Frontal_Inf_Orb_L compared to the PRT stage.ConclusionOur data showed that ALFF recorded from some brain regions was changed significantly after rTMS in strabismic amblyopes. The results may infer the pathological basis of SA and demonstrate that visual function may be improved using rTMS in strabismic amblyopic patients. (shrink)

PurposeTo study the changes in functional connections between the left and right hemispheres of patients with high myopia and healthy controls by resting functional magnetic resonance imaging based on voxel-mirrored homotopic connectivity. To study the changes in resting-state functional connectivity between the left and right hemispheres of patients with HM and healthy controls at rest by using resting functional magnetic resonance imaging based on voxel-mirror homotopy connectivity.Patients and MethodsA total of 89 patients with HM and 59 HCs were collected and (...) matched according to gender, age, and education level. The VMHC method was used to evaluate the changes in rsFC between cerebral hemispheres, and a correlation analysis was carried out to understand the differences in brain functional activities between the patients with HM and the HCs.ResultsCompared with the HCs, the VMHC values of the putamen and fusiform in the HM group were significantly lower.ConclusionThis study preliminarily confirmed the destruction of interhemispheric functional connection in some brain regions of the patients with HM and provided effective information for clarifying the neural mechanism of patients with HM. (shrink)

In the employment relationship, organizational factors are the main factors that affect employee behavior. Especially for knowledge-based workers, it is even more crucial for organizations to give enough attention to their individual needs. Based on Existence, Relatedness, and Growth theory, this study constructs a moderated mediating model to explore how the impact of the employee–organization relationship on work engagement and work well-being of knowledge-based employees. In this study, existence–relatedness–growth need satisfaction is used as a mediator and the perceived symbiotic relationship (...) is used as a moderator. Data collected from 791 knowledge-based employees in higher education institutions from more than 20 provinces and cities in China are used to test the model. The results show that EOR has significant positive effects on WE and WWB. Need satisfaction for relatedness partially mediates the effects of EOR on WE and WWB. Need satisfaction for growth mediates the effect of EOR on WE while the mediating role of need satisfaction for growth between EOR and WWB is unsupported. The mediating role of need satisfaction for the existence of EOR on both WE and WWB is unsupported. The perceived symbiotic relationship moderates the relationship between EOR and WE and WWB. The findings are of theoretical significance in expanding the research field of EOR and providing a basis for organizations to implement EOR strategies. (shrink)

To realize the coordinated and sustainable development of hydropower projects and regional society, comprehensively evaluating hydropower projects’ influence is critical. Usually, hydropower project development has an impact on environmental geology and social and regional cultural development. Based on comprehensive consideration of complicated geological conditions, fragile ecological environment, resettlement of reservoir area, and other factors of future hydropower development in each country, we have constructed a comprehensive evaluation index system of hydropower projects, including 4 first-level indicators of social economy, environment, safety, (...) and fairness, which contain 26 second-level indicators. To solve the problem that existing models cannot evaluate dynamic nonlinear optimization, a projection pursuit model is constructed by using rough set reduction theory to simplify the index. Then, an accelerated genetic algorithm based on real number coding is used to solve the model and empirical study is carried out with the Y hydropower station as a sample. The evaluation results show that the evaluation index system and assessment model constructed in our paper effectively reduce the subjectivity of index weight. Applying our model to the social impact assessment of related international hydropower projects can not only comprehensively analyze the social impact of hydropower projects but also identify important social influencing factors and effectively analyze the social impact level of each dimension. Furthermore, SIA assessment can be conducive to project decision-making, avoiding social risks and social stability. (shrink)

Piracy is the greatest threat facing the music industry worldwide today. This study developed and empirically tested a model examining the antecedents of consumer attitude and behavioral intention toward music piracy behavior. Two types of music piracy behavior, unauthorized duplication/download and pirated music product purchasing, were examined. Based on a field survey in Taiwan, the results showed that attributive satisfaction, perceived prosecution risk, magnitude of consequence, and social consensus are very important in influencing customers attitude and behavioral intention toward two (...) types of music piracy behavior. In addition, singer/band idolization can affect the attitude and behavioral intention in the case of pirated music product purchasing. Perceived proximity was found to affect the attitude and behavioral intention in the case of pirated music product purchasing. However, it only influenced behavioral intention in the case of unauthorized duplication/download. (shrink)

This research explores the dynamic capabilities required for firms to implement environmental, social, and governance strategies, and investigates sustainable management performance that can be created based on them. By using dynamic capabilities theory, we integrate sustainable management and the ESG literature to suggest a research model and identify the factors that act as the catalysts achieving sustainability. The data used for the analysis were collected from 78 firms listed on the Korea Exchange with assets totaling more than 2 trillion Korean (...) won. In this study, the partial least squares structural equation model is applied. We found that absorptive capability and adaptive capability significantly affect sustainable management performance through implementation of the ESG strategy as a mediating variable. In particular, a firm’s implementation of an ESG strategy is a significant determinant that impacts sustainable management performance. We also believe our model contributes to the current knowledge by filling several research gaps, and our findings offer valuable and practical implications not only for achieving sustainable growth but also for creation of competitive advantage. (shrink)

This study examines the influence of Confucianism on corporate poverty alleviation (PA) participation. We argue that firms in regions with more Confucian temples are more likely to participate in government-initiated PA programs because Confucianism emphasizes common social welfare. This positive relationship is stronger for firms with chief executive officers born in Confucian regions and for firms that are under high media pressure, as the trade-off between social welfare and firm interest is in favor of Confucianism. Using a sample of Chinese-listed (...) firms, we find evidence supporting our arguments. Moreover, we find consistent evidence that firms influenced by Confucianism are motivated to pay long-term attention to PA activities and improve corporate PA efficiency, highlighting the substantive role of Confucianism in a PA campaign. Our study contributes to the business ethics literature by introducing Confucianism into research on corporate social activities and provides practical implications. (shrink)

Firms worldwide are increasingly required to disclose their carbon emissions due to the environmental damage associated with climate change. Because there has been no previous literature focusing on the determinants of corporate carbon disclosure integrating environmental legitimacy and green innovation, the present study attempted to develop an original framework to fill the research gap. This study explored the influence of environmental legitimacy on corporate carbon disclosure, and investigated the role of green innovation as a mediator. With the samples of Carbon (...) Disclosure Project in China from 2008 to 2012, the results demonstrate that environmental legitimacy significantly negatively influences the likelihood of corporate carbon disclosure, and that green process innovation mediates the relationship, while green product innovation has no significant mediating effect. It means that environmental legitimacy not only directly affects the likelihood of corporate carbon disclosure, but also indirectly affects it via green process innovation. Hence, companies must increase both informal and formal mechanisms, i.e., external environmental legitimacy and internal green process innovation, to engage in carbon information disclosure and ensure sustainability. (shrink)

Water quality prediction is the basis of water environmental planning, evaluation, and management. In this work, a novel intelligent prediction model based on the fuzzy wavelet neural network including the neural network, the fuzzy logic, the wavelet transform, and the genetic algorithm was proposed to simulate the nonlinearity of water quality parameters and water quality predictions. A self-adapted fuzzy c-means clustering was used to determine the number of fuzzy rules. A hybrid learning algorithm based on a genetic algorithm and gradient (...) descent algorithm was employed to optimize the network parameters. Comparisons were made between the proposed FWNN model and the fuzzy neural network, the wavelet neural network, and the neural network. The results indicate that the FWNN made effective use of the self-adaptability of NN, the uncertainty capacity of FL, and the partial analysis ability of WT, so it could handle the fluctuation and the nonseasonal time series data of water quality, while exhibiting higher estimation accuracy and better robustness and achieving better performances for predicting water quality with high determination coefficients R2 over 0.90. The FWNN is feasible and reliable for simulating and predicting water quality in river. (shrink)

Whether or not a public relations code of ethics should be enforced, among others, has become one of the most widely controversial topics, especially after the Hill and Knowlton case in 1992. I take the position that ethical codes should be enforced and address this issue from eight aspects: (a) Is a code of ethics an absolute prerequisite of professionalism? (b) Should problems of rhetoric per se in a code of ethics become a rationale against code enforcement? (c) Is a (...) code of ethics of any significance? (d) Is the ethical code is enforceable, (e) Would the licensure system interfere with the freedom of expression of the practitioners? (f) Do PR practitioners choose to be ethical (if they do) because they have to be or because they want to be? (g) Would the public interest be virtually assured as a result of a public relations? and (h) Can education in ethics overcome the ethical problems in public relations? (shrink)

In this article, we explicate evidence-based nursing (EBN), critically appraise its framework and respond to nurses’ concern that EBN sidelines the caring elements of nursing practice. We use resources from care ethics, especially Vrinda Dalmiya’s work that considers care as crucial for both epistemology and ethics, to show how EBN is compatible with, and indeed can be enhanced by, the caring aspects of nursing practice. We demonstrate that caring can act as a bridge between ‘external’ evidence and the other pillars (...) of the EBN framework: clinical expertise; patient preferences and values. Drawing on an influential EBN handbook, section 1 presents the aims and features of EBN, including the normative principle that EBN should take place within a ‘context of caring’. We aim to understand this context and whether it can be neatly detached from the EBN framework, as the handbook seems to suggest. In section 2, we highlight the grounds for resistance to EBN from the nursing community, before mounting the argument that nursing practices can be understood fruitfully through feminist care ethics and/or virtue ethics lenses. In section 3, we deepen that analysis using Dalmiya’s concepts of care-knowing and care as a hybrid ethico-epistemic virtue, which are ideally suited to the complex practices of nursing. In section 4, we bring this rich understanding of care into conversation with EBN, showing that its framework cannot be adequately theorised without paying proper attention to care. Caring can be neither an innocuous background assumption of nor an afterthought to the EBN framework. (shrink)

The purpose of this paper is to explore two questions:(1) Is symmetrical communication in public relations practice inherently ethical?(2) Does symmetrical communication contribute to public relations effectiveness and organizational effectiveness? Three surveys are undertaken to test seven research hypotheses for the purpose of cross-validating research findings. The results suggest that symmetrical communication is inherently ethical. Moreover, symmetrical communication indeed contributes to several performance measures, which include positive market performance, overall organizational effectiveness, conflict resolution, crisis management, favorable organizational reputation, and positive (...) media exposure, with the last two measures only partially supported. (shrink)

Maker education mainly involves “hands-on” as the core concept and combines various educational theories to redefine interactions between learners and teachers in a learning environment. Identification of meaningful “hands-on” behaviors is crucial to evaluate students’ learning performance, although an instructor’s observation of every student is not feasible. However, such observation is possible with the aid of the artificial intelligence image processing technique; the AI learning behavior recognition system can serve as the second eyes of teachers, thus accounting for individual differences. (...) However, in previous studies, learning behavior recognition was applied to the traditional or static classroom. A behavior recognition system for identifying “hands-on” actions in the learning context has still not been developed. Therefore, this study designed a human posture evaluation system, obtained human articulation node information from learning field images, and built a learning behavior recognition model suitable for maker education based on the AI convolutional neural network. A learning behavior model was defined, along with a number of student behavior indexes. Subsequently, the effectiveness of the model and behavior indexes was verified through practical learning activities. The model evaluation results indicated that the proposed model achieved a training accuracy of 0.99 and a model accuracy of 0.83. Thus, the model can be applied to dynamic maker activity learning environments. (shrink)

With the rapid development of science and technology, UAVs have become a new type of weapon in the informatization battlefield by their advantages of low loss and zero casualty rate. In recent years, UAV navigation electromagnetic decoy and electromagnetic interference crashes have activated widespread international attention. The UAV LiDAR detection system is susceptible to electromagnetic interference in a complex electromagnetic environment, which results in inaccurate detection and causes the mission to fail. Therefore, it is very necessary to predict the effects (...) of the electromagnetic environment. Traditional electromagnetic environment effect prediction methods mostly use a single model of mathematical model and machine learning, but the traditional prediction method has poor processing nonlinear ability and weak generalization ability. Therefore, this paper uses the Stacking fusion model algorithm in machine learning to study the electromagnetic environment effect prediction. This paper proposes a Stacking fusion model based on machine learning to predict electromagnetic environment effects. The method consists of Extreme Gradient Boosting algorithm, Gradient Boosting Decision Tree algorithm, K Nearest Neighbor algorithm, and Decision Tree algorithm. Experimental results show that, comprising with the other seven machine learning algorithms, the Stacking fusion model has a better classification prediction accuracy of 0.9762, a lower Hamming code distance of 0.0336, and a higher Kappa coefficient of 0.955. The fusion model proposed in this paper has a better predictive effect on electromagnetic environment effects and is of great significance for improving the accuracy and safety of UAV LiDAR detection systems under the complex electromagnetic environment on the battlefield. (shrink)

In the real world, individual resources are crucial for patients when epidemics outbreak. Thus, the coupled dynamics of resource diffusion and epidemic spreading have been widely investigated when the recovery of diseases significantly depends on the resources from neighbors in static social networks. However, the social relationships of individuals are time-varying, which affects such coupled dynamics. For that, we propose a coupled resource-epidemic dynamic model on a time-varying multiplex network to synchronously simulate the resource diffusion and epidemic spreading in dynamic (...) social networks. The equilibrium analysis of the coupled model is conducted in a general scenario where the resource generation varies between susceptible and infected states and the recovery rate changes between resourceful and noresource states. By using the microscopic Markov chain approach and Monte Carlo simulations, we determine a probabilistic framework of the intralayer and interlayer dynamic processes of the coupled model and obtain the outbreak threshold of epidemic spreading. Meanwhile, the experimental results show the trivially asymmetric interactions between resource diffusion and epidemic spreading. They also indicate that the stronger activity heterogeneity and the larger contact capacity of individuals in the resource layer can more greatly promote resource diffusion, effectively suppressing epidemic spreading. However, these two individual characters in the epidemic layer can cause more resource depletion, which greatly promotes epidemic spreading. Furthermore, we also find that the contact capacity finitely impacts the coupled dynamics of resource diffusion and epidemic spreading. (shrink)