Little is known and understood about ethics management or the development of formal, systematic, and goal-directed initiatives to improve ethics in the public relations workplace. This study found little ethics training and written guidelines in the public relations workplace. Organizational ethics initiatives are poorly communicated to practitioners and rely mostly on punitive restraints with little reward for ethical behavior. For many practitioners, ethics is not learned through workplace ethics initiatives but rather is mostly informed by external influences including personal values, (...) family upbringing, and professional work experiences. (shrink)

The meshed control theory assumes that cognitive control and automatic processes work together in the natural attention of experts for superior performance. However, the methods adopted by previous studies limit their capacity to provide in-depth information on the neuromotor processes. This experiment tested the theory with an alternative approach. Twelve skilled golfers were recruited to perform a putting task under three conditions: (1) normal condition, with no focus instruction (NC), (2) external focus of attention condition (EC), and (3) internal focus (...) of attention condition (IC). Four blocks of 10 putts each were performed under each condition. The putting success rate and accuracy were measured and electroencephalographies (EEGs) were recorded. The behavioral results showed that the NC produced a higher putting success rate and accuracy than the EC and IC. The EEG data showed that the skilled golfers’ attentional processes in the NC initially resembled those in the EC and then moved toward those in the IC just before putting. This indicates a switch from more automatic processes to cognitive control processes while preparing to putt. The findings offer support for the meshed control theory and indicate the dynamic nature of neuromotor processes for the superior performance of athletes in challenging situations. (shrink)

Communication programs seek to cultivate students who become professionals not only with expertise in their chosen field, but also ethical awareness. The current study investigates how exposure to ethics instruction and internship experiences may influence communication students’ ethical perceptions, including ideological orientations on idealism and relativism, as well as awareness of contemporary ethical issues related to social media and artificial intelligence (AI). The effects were also assessed on students’ support for general uses of AI for communication practices and adoption of (...) generative AI, specifically ChatGPT. The survey results based on a student sample in Taiwan show that internship experience is more significant than ethics instruction on swaying ethical perceptions and behavioral inclinations of adopting AI applications. Adding to the limited body of knowledge on the effect of ethics education and internship programs, the findings also offer insights for how communication education can address emerging ethical challenges brought by new technology. (shrink)

In association with the development of intermittent renewable energy generation, dynamic multiobjective dispatch faces more challenges for power system operation due to significant REG uncertainty. To tackle the problems, a day-ahead, optimal dispatch problem incorporating energy storage is formulated and solved based on a robust multiobjective optimization method. In the proposed model, dynamic multistage ES and generator dispatch patterns are optimized to reduce the cost and emissions. Specifically, strong constraints of the charging/discharging behaviors of the ES in the space-time domain (...) are considered to prolong its lifetime. Additionally, an adaptive robust model based on minimax multiobjective optimization is formulated to find optimal dispatch solutions adapted to uncertain REG changes. Moreover, an effective optimization algorithm, namely, the hybrid multiobjective Particle Swarm Optimization and Teaching Learning Based Optimization, is employed to seek an optimal Pareto front of the proposed dispatch model. This approach has been tested on power system integrated with wind power and ES. Numerical results reveal that the robust multiobjective dispatch model successfully meets the demands of obtaining solutions when wind power uncertainty is considered. Meanwhile, the comparison results demonstrate the competitive performance of the PSO-TLBO method in solving the proposed dispatch problems. (shrink)

Different forms of mindfulness meditation are increasingly integrated in the clinical practice in the last three decades. Previous studies have identified changes in the neurophysiology and neurochemistry of the brain resulting from different mindfulness meditation practices in the general population. However, research on neural correlates of different types of meditation, particularly on the clinical outcomes, is still very sparse. Therefore, the aim of this article is to review the neural impact of mindfulness meditation interventions on different mental disorders via the (...) classification of main components of mindfulness meditation. The clearer classification of mindfulness meditation may inform future clinical practice and research directions. (shrink)

This study is intended to create an innovative contextual English learning environment making use of the widely used communication software, LINE ChatBot, based on the Artificial Intelligence Markup Language, in order to improve speaking and listening ability among learners. A total of 73 students were invited to participate in learning activities involving a 4-week English conversation exercise including both speaking and listening. Additionally, in order to explore the influence of competition on language acquisition, we added competition characteristics to the learning (...) activities in the experimental group to enhance learning motivation and learning outcomes. The results showed that with the help of the LINE ChatBot contextual learning environment, the performance of both groups of students was slightly enhanced, but no significant differences were found. Meanwhile, extrinsic motivation in both the experimental and control group was improved if they spoke anonymously. That is, the contextual learning environment based on the LINE ChatBot significantly improved the learners’ English speaking and listening ability. In addition, the results showed that the addition of a competition element effectively enhanced the learners’ intrinsic motivation to learn English on the LINE ChatBot. (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)

The COVID-19 pandemic has had a significant impact on education worldwide. The disease first hit China and numerous Chinese cities then started to conduct online courses. Therefore, this study aims to explore the effect of the Shanghai students’ emotional intelligence, learning motivation, and self-efficacy on their academic achievement when they participated in online English classes during the latter phase of the pandemic in China. Furthermore, the research also examines whether the students’ emotional intelligence can influence their academic achievement through the (...) mediation effect of their learning motivation and self-efficacy. Social Cognitive Theory and the social cognitive Expectancy-Value Model were employed to build the research framework, and the method of structural equation modeling was utilized to conduct the model verification. Ten universities in Shanghai, China were selected for sampling. In total, 450 students were surveyed of which 404 questionnaires were valid. The results show that the students’ emotional intelligence did not directly affect their academic achievement. Nevertheless, the students’ emotional intelligence had a positive effect on their learning motivation and self-efficacy. In addition, mediation analysis showed that the relation between emotional intelligence and academic achievement was sequentially mediated by learning motivation and self-efficacy. (shrink)

Photovoltaic power forecasting can provide strong support for the safe operation of the power system. Existing forecasting methods are ineffective for grid scheduling decisions or risk analysis. The novel multicluster interval prediction method is proposed to consider the volatility and randomness of PV power output. First, this method utilizes the sparse autoencoder and Bayesian regularized NARX network for point forecasting of PV power. Second, density peak clustering improved by kernel Mahalanobis distance is applied to classify the dataset into multiple clusters, (...) including forecasting error and meteorological factors. Finally, the joint probability density is established by multivariate kernel density estimation to accomplish the PV power interval prediction. The proposed hybrid method is applied for the interval prediction of PV power at Yulara, Australia. Comparative research of point forecasting is implemented to evaluate the machine learning and deep learning methods, with the proposed SAE-BRNARX under four different periods. Results shows that the average values of nRMSE, MRE, nMAE, and R2 for the four periods are 4.45%, 0.90%, −0.15%, 3.39%, and 95.93%, respectively. Moreover, the results of interval prediction obtained by the other interval prediction approaches are compared with the proposed KMDDPC-MKDE. It shows that the average values of PICP, PINAW, ACE, and nMPICD for four periods are 93.93%, 9.50%, 3.93%, and 7.10% at 90% confidence level, respectively. Outcomes demonstrate that the proposed method can obtain more accuracy, a higher coverage rate, narrower average bandwidth, and a closer distance between the middle of interval and actual value than other methods. (shrink)

The impostor phenomenon refers to a false internal experience of low intelligence or ability that is associated with anxiety, depression, psychological distress, and burnout. The emotions associated with the IP affect not only personal mental health but also patient care. To address this issue, we need to completely understand the prevalence of and factors related to the IP and ways to resolve/overcome IP feelings. The aim of this scoping review was to identify the existing evidence regarding the IP among nursing (...) students and nurses and determine gaps that can be addressed in future research. We conducted our study based on the scoping review methodological framework proposed by Arksey and O’Malley and advanced by Levac et al.. After searching the Embase, PubMed, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Web of Science and ProQuest databases, we identified 11 studies for inclusion in this review. We found that while the IP exists in nursing students and nurses, clinical nurse specialist students and final-year nursing students are at significant risk of impostor behavior. We also found that research in the nursing field has focused on the prevalence of and factors related to the IP, but few studies have addressed ways to resolve/overcome IP feelings. Thus, research in this area should be increased. This scoping review presents research gaps that may serve as a starting point for future work on the IP in the nursing field. (shrink)

BackgroundBilateral cerebral palsy is the most common type of CP in children and is often accompanied by different degrees of communication impairment. Several studies have attempted to identify children at high risk for communication impairment. However, most prediction factors are qualitative and subjective and may be influenced by rater bias. Individualized objective diagnostic and/or prediction methods are still lacking, and an effective method is urgently needed to guide clinical diagnosis and treatment. The aim of this study is to develop and (...) validate an objective, individual-based model for the prediction of communication impairment in children with BCP by the time they enter school.MethodsA multicenter prospective cohort study will be conducted in four Chinese hospitals. A total of 178 children with BCP will undergo advanced brain magnetic resonance imaging at baseline. At school entry, communication performance will be assessed by a communication function classification system. Three-quarters of children with BCP will be allocated as a training cohort, whereas the remaining children will be allocated as a test cohort. Multivariate lesion- and connectome-based approaches, which have shown good predictive ability of language performance in stroke patients, will be applied to extract features from MR images for each child with BCP. Multiple machine learning models using extracted features to predict communication impairment for each child with BCP will be constructed using data from the training cohort and externally validated using data from the test cohort. Prediction accuracy across models in the test cohort will be statistically compared.DiscussionThe findings of the study may lead to the development of several translational tools that can individually predict communication impairment in children newly diagnosed with BCP to ensure that these children receive early, targeted therapeutic intervention before they begin school.Trial registrationThe study has been registered with the Chinese Clinical Trial Registry. (shrink)

以明末清初理學文本與話語為主要研究對象， 試圖重探明清之際思想轉型的重大議題。 從儒者的生死觀、工夫論、舜的聖人形象、孝行與家禮、 夫婦之倫、人性論等主題， 分析明清之際儒學如何在歷史發展及反思中自我修正與轉化， 建構一個能兼顧個人道德修養與家庭社群人倫，能對治晚明學風之弊， 並在日用人倫中重建社會秩序的思想體系。 呂妙芬新作《成聖與家庭人倫：宗教對話脈絡下的明清之際儒學》鎖定明清之際（以十七世紀為主）的理學為主要研究範圍，試圖以更豐富而新穎的史料、新的研究議題與視角，來探討明清之際儒學的發展與轉型，也試圖回應一 些過去學者提出的看法。 呂妙芬在本書裡認為理學的信念在清代仍是支持政治與社會的價值體系，理學的議題也仍是士人關心的問題，清代理學思想與話語也不盡然因襲舊說，而有其推陳出新之處，只是這方面較未被充分探討認知。 《成聖與家庭人倫》一書也強調當時儒學是在高度宗教對話的語境中發言，調整自我義理內涵，書中亦論及儒學宗教化與庶民化的現象，及對過去啓蒙論述的反思。 本書共分三部，第一部「成聖、不朽、家庭人倫」包含三章，主要探討明清之際儒學發展的延續與變化，並標出「成聖」與「家庭人倫」為核心議題。第一章〈生死觀的新發展〉探討明清之際理學話語中，是否出現類似個體靈魂 的概念？是否有關於死後想像的論述？第二章〈儒門聖賢皆孝子〉延續了上一章的討論，主要根據的文本也相近，焦點則轉到清初儒學與晚明儒學的差異。第三章〈聖人處兄弟之變〉考察明清士人對於《孟子》記載舜、象兄弟故 事的不同詮釋，說明士人對於舜的詮釋反映了他們對儒學理想與聖人形象的思索。 第二部「血脈與道脈的雙重認同」包含兩章，內容則離開思想觀念的分析，轉而探討萬里尋親、居家拜聖賢兩種實踐行為，藉此說明家族血脈與儒學道脈在儒家士人心目中具有同等重要的地位。第四章選擇與宗族文化密切相關的 萬里尋親孝行為主題，支持此類孝行的理念正是儒家的孝道思想，以及「家」作為永恆歸屬的觀念。第五章討論明清士人在家拜聖賢的禮儀實踐。明清時期祭拜儒家聖賢之禮，除了在孔廟、鄉賢祠、學校和書院中，或在某些民間 宗教的寺廟中舉行外，它也以一種堅持儒學正統、不與其他宗教混合的方式，走入士人家庭。 第三部「宗教對話語境下的儒學論述」共有兩章，分別討論夫婦之倫、人性論兩個主題。第六章探討儒學在夫婦之道的神聖性與戒淫之間的張力，以及因發言語境之差異所形成關於夫婦之倫的不同論述面向。第七章是針對明清氣 學人性論的探討。結論部分則分別就「從晚明到清初學術思想的延續與創新」、「儒學的宗教關懷與庶民化傾向」、「再思17世紀儒學轉型在中國思想史上的意義」三方面，總結說明本書的主要論點。.

Why do people comply with coronavirus disease 2019 public health guidance? This study considers cultural-psychological foundations of variation in beliefs about motivations for such compliance. Specifically, we focused on beliefs about two sources of prosocial motivation: desire to protect others and obligation to society. Across two studies, we observed that the relative emphasis on the desire to protect others as an explanation for compliance was greater in the United States settings associated with cultural ecologies of abstracted independence than in Chinese (...) settings associated with cultural ecologies of embedded interdependence. We observed these patterns for explanations of psychological experience of both others and self, and for compliance with mandates for both social distancing and face masks. Discussion of results considers both practical implications for motivating compliance with public health guidance and theoretical implications for denaturalizing prevailing accounts of prosocial motivation. (shrink)

唯识学种子说通过在微分、刹那层面探讨深层心识的构造活动和存在的本质，论证了佛教缘起性空的非本体立场，属于一种“非本体”的本体诠释。但是，由于受到中国固有思维的影响，中国佛学不再侧重强调法性即空性的“非 本体”立场，而是把法性和心性主体结合起来，倾向于设立一种“实体化”的本体，形成了“心性本体论”。由非本体的本体诠释逐渐转向心性本体的本体诠释是印度唯识学在心识哲学层面中国化的基本趋势。.

This book presents for the first time a translation of the complete Expository Commentary to the Daode jing written by the Daoist Cheng Xuanying in the 7th century CE. This important commentary is representative for Tang Dynasty Daoist philosophy and Daoist Twofold Mystery philosophy, also called chongxuanxue. Following the philosophical tradition of xuanxue authors like Wang Bi, Cheng Xuanying read the Daode jing using a framework of the then current Daoist religion. His conceptual framework included the assumption that (...) Laozi had written the Daode jing to guide the beings to unite with the Dao and thereby reach ultimate salvation. Salvation is interpreted as a metaphysical form of immortality, reached by overcoming the dichotomy of being and non-being, and thus also life and death. He thus connects epistemological concerns with soteriological concerns. The process proposed to overcome these dichotomies relies on reasoning along the lines of tetralemma logic, a form of reasoning that had become known in China mainly through the Buddhist Madhyamika ṡ́astras. One of Cheng Xuanying's prominent commentarial strategies is therefore the consistent application of tetralemma logic in his reading of the Daode jing. His philosophical outlook ties together the ancient text of the Daode jing and the more recent developments in Daoist thought, which to a rather large extent occurred under the influence of an intense interaction with Buddhist ideas. (shrink)

This study explores the connections between time, travel, and creative acts such as painting and poetry, highlighting the similarities that unite these themes. It also focuses on the relationships between the East and the West in regards to these subjects, and posits that travel can be understood as an active form of meditation. The study argues that the meaning of wanderings can be found by learning to make them conscious, and that there has been a deep reflection on time, consciousness, (...) and mobility since ancient times. (shrink)

Recent years have seen a surge in accounts motivated by information theory that consider language production to be partially driven by a preference for communicative efficiency. Evidence from discourse production (i.e., production beyond the sentence level) has been argued to suggest that speakers distribute information across discourse so as to hold the conditional per-word entropy associated with each word constant, which would facilitate efficient information transfer (Genzel & Charniak, 2002). This hypothesis implies that the conditional (contextualized) probabilities of linguistic units (...) affect speakers’ preferences during production. Here, we extend this work in two ways. First, we explore how preceding cues are integrated into contextualized probabilities, a question which so far has received little to no attention. Specifically, we investigate how a cue's maximal informativity about upcoming words (the cue's effectiveness) decays as a function of the cue's recency. Based on properties of linguistic discourses as well as properties of human memory, we analytically derive a model of cue effectiveness decay and evaluate it against cross-linguistic data from 12 languages. Second, we relate the information theoretic accounts of discourse production to well-established mechanistic (activation-based) accounts: We relate contextualized probability distributions over words to their relative activation in a lexical network given preceding discourse. (shrink)

In The Primary Way, the distinguished scholar of Chinese philosophy Chung-ying Cheng synthesizes his lifetime of work on the Yijing, also known as the I Ching or Book of Changes--Back cover.

In this study, the research objective of psychological resilience refers to the emerging professional group of Internet marketers under the background of the COVID-19 pandemic environment. This paper studies the effect of the psychological resilience of Internet marketers on their subjective career success. The result shows that Internet marketers’ psychological resilience has a positive impact on their subjective career success. The work engagement of Internet marketers plays a mediating role in the relationship between psychological resilience and subjective career success. Meanwhile, (...) Internet marketers’ workload positively moderates the mediating effects of work engagement. This study starts from the perspective of positive psychology to investigate the psychological resilience of Internet marketers and broadens the scope of application of positive organizational behavior and psychology. (shrink)

Status updates on social network sites (SNSs) as a new medium for people to express “what is on your mind” on the Internet can provide much information. In the current study, we statistically analysed survey data to examine whether individuals utilize impression management in their status updates on SNSs, whether their attempts at impression management are successful, and whether users who post these status updates can infer how others view them based on these contents, whether the status updates posted on (...) SNSs reflect information about users’ Big Five personality traits. The findings suggested that the meta–perception and perceivers’ judgments of all five traits are quite accurate, despite users’ aim to create different impression of most traits in their status updates. This study offers new empirical evidence about the model of interpersonal perception on SNSs and shows that status updates on SNSs can provide considerable information about their authors. (shrink)