This study adopts a stakeholder theory framework to examine determinants of social reporting quality and empirically test the ability of the theory to explain disclosure quality in an emerging economy. Using a sample of 246 listed companies and a hand-collected dataset that included 2 years of data based on survey questions reflecting international disclosure trends, we apply an aggregate measure of quality with five facets to a variety of corporate social responsibility areas. The results support the application and demonstrate that (...) measures of stakeholder power, strategic posture, economic resources, firm size, and media visibility are related to social disclosure quality. This paper adds to the scarce evidence on social reporting in Taiwan and provides a useful method for evaluating disclosure quality. It also illustrates the impact of two dominant foreign stakeholder groups on social disclosures in Taiwan: organizational buyers in the global supply chain and listing and social rating agencies in international capital markets. (shrink)

Recently discovered transcription‐independent features of p53 involve the choice of DNA damage repair pathway after PARylation, and p53's complex formation with phosphoinositide lipids, PI(4,5)P2. PARylation‐mediated rapid accumulation of p53 at DNA damage sites is linked to the recruitment of downstream repair factors and tumor suppression. This links p53's capability to sense damaged DNA in vitro and its relevant functions in cells. Further, PI(4,5)P2 rapidly accumulates at damage sites like p53 and complexes with p53, while it is required for ATR recruitment. (...) These findings help explain how p53 and PI(4,5)P2 maintain genome stability by directing DNA repair pathway choice. Additionally, there is a strong correlation between p53 sequence homology, genome mutation rates as well as lifespans across various mammalian species. Further investigation is required to better understand the connections between genome stability, tumor suppression, longevity and the transcriptional‐independent function of p53. (shrink)

Author Julia Annas Aristotle made ​​the German Asia-mile out and fortunately Fuk The arguments related point, and the role of external good fortune Fook in the problems caused. And text analysis and dialectical Happy Stoic school and school for good moral behavior and external point of view. Author argues, Aristotle on the German sub-km behavior regardless of the state with the fortunate Fook, reflecting the hope臘human ethics ideological consensus, and he left to posterity to resolve the discovery. Aristotle on the (...) German sub-km conduct the test volume and fortunately Fook to take the views of ordinary people, and thus for long-term development. We take this to understand the Stoic school and get away with school, behavior and fortunately for Germany Fuk related views and noted against the intentions are. Julia Annas presents Aristotle's view of the relation of virtue and happiness, and the resulting problem of the role of the external goods in happiness. The Stoics and Peripatetic views on virtue and external goods have been analyzed and argued. The writer suggests what Aristotle says about virtue and happiness reflects common sense of Greek ethical thought and leaves the issue. Aristotle's account of virtue and happiness takes ordinary thought on the matter and develops it far. We can see what the Stoics and Peripatetics are going to say on this matter and the opposing tendencies in this article. (shrink)

We proposed a model to examine the relationship among different types of weight-related stigmas and their relationship to quality of life. We recruited 430 dyads of elementary school children [mean age = 10.07 years; nboy = 241 ; noverweight = 138 ] and their parents. Parents completed QoL instruments about their children assessing generic QoL and weight-related QoL. Children completed QoL instruments assessing generic QoL and weight-related QoL and stigma scales assessing experienced weight stigma, weight-related self-stigma, and perceived weight stigma. (...) Experienced weight stigma was significantly associated with perceived weight stigma, and in turn, perceived weight stigma was significantly associated with weight-related self-stigma. However, experienced weight stigma was not directly associated with weight-related self-stigma. In addition, experienced stigma was negatively associated with both child-rated and parent-rated QoL. Perceived weight stigma was associated only with parent-rated weight-related QoL but not child-rated QoL. Self-stigma was associated with child-rated QoL but not parent-rated QoL. Moreover, perceived weight stigma and weight-related self-stigma were significant mediators in the association between body weight and children's QoL; experienced weight stigma was not a significant mediator. The study findings can be used to inform healthcare providers about the relationship among different types of stigmas and their influence on child-rated and parent-rated QoL and help them develop interventions to address the global trend of overweight/obesity in youth and pediatric populations. (shrink)

Current COVID-19 pandemic and previous SARS/MERS outbreaks have caused a series of major crises to global public health. We must integrate the large and exponentially growing amount of heterogeneous coronavirus data to better understand coronaviruses and associated disease mechanisms, in the interest of developing effective and safe vaccines and drugs. Ontologies have emerged to play an important role in standard knowledge and data representation, integration, sharing, and analysis. We have initiated the development of the community-based Coronavirus Infectious Disease Ontology (CIDO). (...) As an Open Biomedical Ontology (OBO) library ontology, CIDO is an open source and interoperable with other existing OBO ontologies. In this article, the general architecture and the design patterns of the CIDO are introduced, CIDO representation of coronaviruses, phenotypes, anti-coronavirus drugs and medical devices (e.g. ventilators) are illustrated, and an application of CIDO implemented to identify repurposable drug candidates for effective and safe COVID-19 treatment is presented. (shrink)

The purposes of research were to describe the neonatal clinicians' personal views and attitudes on neonatal ethical decision-making, to identify factors that might affect these attitudes and to compare the attitudes between neonatal physicians and neonatal nurses in Taiwan. Research was a cross-sectional design and a questionnaire was used to reach different research purposes. A convenient sample was used to recruit 24 physicians and 80 neonatal nurses from four neonatal intensive care units in Taiwan. Most participants agreed with suggesting a (...) do not resuscitate (DNR) order to parents for dying neonates (86.5%). However, the majority agreed with talking to patients about DNR orders is difficult (76.9%). Most participants agree that review by the clinical ethics committee is needed before the recommendation of ‘DNR’ to parents (94.23%) and nurses were significantly more likely than physicians to agree to this (p=0.043). During the end-of-life care, most clinicians accepted to continue current treatment without adding others (70%) and withholding of emergency treatments (75%); however, active euthanasia, the administration of drug to end-of-life, was not considered acceptable by both physicians and nurses in this research (96%). Based on our research results, providing continuing educational training and a formal consulting service in moral courage for neonatal clinicians are needed. In Taiwan, neonatal physicians and nurses hold similar values and attitudes towards end-of-life decisions for neonates. In order to improve the clinicians' communication skills with parents about DNR options and to change clinicians' attitudes for providing enough pain-relief medicine to dying neonates, providing continuing educational training and a formal consulting service in moral courage are needed. (shrink)

Ontologies, as the term is used in informatics, are structured vocabularies comprised of human- and computer-interpretable terms and relations that represent entities and relationships. Within informatics fields, ontologies play an important role in knowledge and data standardization, representation, integra- tion, sharing and analysis. They have also become a foundation of artificial intelligence (AI) research. In what follows, we outline the Coronavirus Infectious Disease Ontology (CIDO), which covers multiple areas in the domain of coronavirus diseases, including etiology, transmission, epidemiology, pathogenesis, diagnosis, (...) prevention, and treatment. We emphasize CIDO development relevant to COVID-19. (shrink)

The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we initiated the (...) development of the community-based Coronavirus Infectious Disease Ontology in early 2020. -/- As an Open Biomedical Ontology (OBO) library ontology, CIDO is open source and interoperable with other existing OBO ontologies. CIDO is aligned with the Basic Formal Ontology and Viral Infectious Disease Ontology. CIDO has imported terms from over 30 OBO ontologies. For example, CIDO imports all SARS-CoV-2 protein terms from the Protein Ontology, COVID-19-related phenotype terms from the Human Phenotype Ontology, and over 100 COVID-19 terms for vaccines (both authorized and in clinical trial) from the Vaccine Ontology. CIDO systematically represents variants of SARS-CoV-2 viruses and over 300 amino acid substitutions therein, along with over 300 diagnostic kits and methods. CIDO also describes hundreds of host-coronavirus protein-protein interactions (PPIs) and the drugs that target proteins in these PPIs. CIDO has been used to model COVID-19 related phenomena in areas such as epidemiology. The scope of CIDO was evaluated by visual analysis supported by a summarization network method. CIDO has been used in various applications such as term standardization, inference, natural language processing (NLP) and clinical data integration. We have applied the amino acid variant knowledge present in CIDO to analyze differences between SARS-CoV-2 Delta and Omicron variants. CIDO's integrative host-coronavirus PPIs and drug-target knowledge has also been used to support drug repurposing for COVID-19 treatment. -/- CIDO represents entities and relations in the domain of coronavirus diseases with a special focus on COVID-19. It supports shared knowledge representation, data and metadata standardization and integration, and has been used in a range of applications. (shrink)

COVID-19 often manifests with different outcomes in different patients, highlighting the complexity of the host-pathogen interactions involved in manifestations of the disease at the molecular and cellular levels. In this paper, we propose a set of postulates and a framework for systematically understanding complex molecular host-pathogen interaction networks. Specifically, we first propose four host-pathogen interaction (HPI) postulates as the basis for understanding molecular and cellular host-pathogen interactions and their relations to disease outcomes. These four postulates cover the evolutionary dispositions involved (...) in HPIs, the dynamic nature of HPI outcomes, roles that HPI components may occupy leading to such outcomes, and HPI checkpoints that are critical for specific disease outcomes. Based on these postulates, an HPI Postulate and Ontology (HPIPO) framework is proposed to apply interoperable ontologies to systematically model and represent various granular details and knowledge within the scope of the HPI postulates, in a way that will support AI-ready data standardization, sharing, integration, and analysis. As a demonstration, the HPI postulates and the HPIPO framework were applied to study COVID-19 with the Coronavirus Infectious Disease Ontology (CIDO), leading to a novel approach to rational design of drug/vaccine cocktails aimed at interrupting processes occurring at critical host-coronavirus interaction checkpoints. Furthermore, the host-coronavirus protein-protein interactions (PPIs) relevant to COVID-19 were predicted and evaluated based on prior knowledge of curated PPIs and domain-domain interactions, and how such studies can be further explored with the HPI postulates and the HPIPO framework is discussed. (shrink)

Wang Yang-ming’s philosophy of mind brings about some abuses with its spread, such as despising moral cultivation and upholding mysteries, which cause the school to be degenerated in the later Ming dynasty. Some scholars, who are worried about the situation, starting from the abuses, retrospect and rectify the theoretical defects in the doctrine of Wang Yang-ming and his disciples. The article reviews the rectifying movement of Wang’s school during the later Mingdynasty and the early Qing dynasty, and (...) reflects the relation between personality emancipation and moral rational spirit, hsin-hsing (mind-nature) and social achievements. (shrink)

"The essence of literature may be compared to the various plants and trees," Liu Hseih writes, "alike in the fact that they are rooted in the soil, yet different in their flavor and their fragrance, their exposure to the sun."1 The character of each work is manifest in its unique savor and in its scent. In other works, the uniqueness of a work can be savored: texts may echo other works, but the personality of any work is instantaneously verified by (...) what Liu Hseih calls wei, flavor, and hsiu, fragrance. It is this uniqueness that persists and survives innumerable bad imitations, shifts in circumstances, lost phonetics, and changing styles. It is what remains fresh in the classics and enables the contemporary reader to feel a sense of discovery and newness. Liu Hseih says that of these lasting works that their "roots are deep, their foliage luxuriant, their expression succinct yet rich; the things described were familiar, but their ramifications are far-reaching: so, although they were written in the past, they have a lasting savor that remains fresh."2 · 1. Liu Hseih, Wen-hsin tiao-lung chu, ed. Fan Wen-lan , p. 519; Shih, The Literary Mind and the Carving of the Dragons , p. 232.· 2. Liu Hseih, p. 22; Shih, p. 24. Although the same Chinese word wei is used in this passage, I have translated it as "savor" to stress the combination of qualities inherent in a work rather than restrict these qualities to a single "flavor." Eugene Eoyang is an associate professor of comparative literature and of East Asian languages and literatures at Indiana State University. He has contributed over fifty translations to Sunflower Splendor: Three Thousand Years of Chinese Poetry and is the author of an anthology of Chinese fiction, Links in the Chain. (shrink)

ABSTRACT This study investigated the influence of different emotions and social consensus on moral decision-making using a mixed 2 × 2 experimental design. The results showed that the main effect of social consensus was significant: the moral decision-making level of participants under the condition of low social consensus was lower than that of participants under the condition of high social consensus, while no main effect of emotion emerged. Second, the results showed that emotion and social consensus have interactive effects on (...) moral decision-making. When social consensus was high, there was no significant difference in moral decision-making between individuals with positive emotions and individuals with negative emotions. When social consensus was low, individuals with negative emotions were more likely to make immoral decisions than individuals with positive emotions. These results reveal that emotion and social consensus work together in affecting moral decision-making. (shrink)

Ankeny et al. focuses on the recent creation of “iBlastoids” and defends the need for reflexive, anticipatory, and deliberative approaches in the domain of emerging and potentially contentio...

This paper aims to verify the effects of work–family conflict and work–family facilitation on employee innovation in the digital era. Based on resource conservation theory, this study regards the work–family relationship as a conditional resource. Employees who are in a state of lack of resources caused by work–family conflict will maintain existing resources by avoiding the consumption of further resources to perform innovation activities; employees who are in a state of sufficient resources are more willing to invest existing resources to (...) obtain more resources. In this study, 405 employees from enterprises in the Chinese provinces of Jiangsu, Anhui, Sichuan, and Guangdong, and in the municipality of Tianjin were selected as the research object. These enterprises are knowledge-based companies, and their employees frequently transfer knowledge at work. We collected questionnaires from the frontline employees of these companies. The results show that negative and positive emotions mediate the effect of work–family conflict and work–family facilitation on employee innovation. Moreover, work flexibility has a significant moderating effect on the mediating role of emotions between work–family facilitation and employee innovation behavior. In the digital era, when facing different work–family situations, employees need to pay attention to and dredge their negative emotions to avoid reducing their innovative behaviors due to self-abandonment; in parallel, they need to guide their positive emotions toward innovation, so as to promote their innovative consciousness and behavior. This paper expands the research perspective of employee innovation behavior. (shrink)

In this study, we focus on the problem of information expiration when using the traditional collaborative filtering algorithm and propose a new collaborative filtering algorithm by integrating the time factor. This algorithm considers information influence attenuation over time, introduces an information retention period based on the information half-value period, and proposes a time-weighted function, which is applied to the nearest neighbor selection and score prediction to assign different time weights to the scores. In addition, to further improve the quality of (...) the nearest neighbor selection and alleviate the problem of data sparsity, a method of calculating users’ sentiment tendency by analysis of user review features is proposed to mine users’ attitudes about the reviewed items, which expands the score matrix. The time factor and sentiment tendency are then integrated into the K-means clustering algorithm to select the nearest neighbor. A hybrid collaborative filtering model based on the improved K-means clustering algorithm is then proposed, by combining item-based and user-based collaborative filtering. Finally, the experimental results show that the proposed algorithm can address the time effect and sentiment analysis in recommendations and improve the predictive performance of the model. (shrink)

In addition to the classical mode of classroom philosophy education that focuses on the history of philosophical thinking, methods of “doing” and “using” philosophy, including philosophical practice and philosophical drama can also form part of philosophy education. Such thinking and language exercises are introduced into activities of the academic philosophy cafe, Inner Mongolia University’s 1957 Coffee. Based on core activities of the philosophy cafe as well as the concept of “language game”, an additional language training project is being designed for (...) bilingual participants and language learners, especially for students in secondary education. A two-pronged approach of linguistic and philosophical foci encourages learners to sharpen their minds to the use of languages in the academic world. (shrink)

The escalating integration of Artificial Intelligence (AI) in clinical settings carries profound implications for the doctrine of informed consent, presenting challenges that necessitate immediate attention. China, in its advancement in the deployment of medical AI, is proactively engaging in the formulation of legal and ethical regulations. This paper takes China as an example to undertake a theoretical examination rooted in the principles of medical ethics and legal norms, analyzing informed consent and medical AI through relevant literature data. The study reveals (...) that medical AI poses fundamental challenges to the accuracy, adequacy, and objectivity of information disclosed by doctors, alongside impacting patient competency and willingness to give consent. To enhance adherence to informed consent rules in the context of medical AI, this paper advocates for a shift towards a patient‐centric information disclosure standard, the restructuring of medical liability rules, the augmentation of professional training, and the advancement of public understanding through educational initiatives. (shrink)

The Reformation had a profound impact on hermeneutical practices by challenging ecclesiastical authority and emphasising interpretive freedom, addressing a crucial gap in historical theology. This study aimed to assess the influence of Martin Luther’s principle of self-interpretation of the Bible and Matthias Flacius’ organismic methodology, which builds on that principle, on the foundations of modern hermeneutics, particularly the methodological hermeneutics represented by Schleiermacher and Dilthey. Set within the context of the 16th-century Reformation, the study conducted a rigorous textual analysis of (...) historical theological documents, revealing a significant paradigm shift towards more inclusive and rational interpretations of sacred texts. This shift, aligning with emerging humanistic values, marked a lasting transformation in the field of hermeneutics.Contribution: The primary contribution of this study lies in its detailed exploration of the historical roots of modern hermeneutics, highlighting the Reformation’s pivotal role in shaping contemporary interpretive methodologies. By elucidating the connections between theological reforms and hermeneutical practices, this research enriches the discourse on the development of hermeneutics and underscores the enduring relevance of Reformation-era innovations. These insights provide valuable perspectives on the interplay between historical and contemporary hermeneutical theories, closely aligning with the intersection of historical theology and interpretive methodologies, thus offering a significant contribution to the field. (shrink)

Since the publication of Matteo Ricci's Tianzhu shiyi, sheng 聖 was commonly accepted as the translation of Catholic saints in China. A closer study, however, suggests that the use of sheng as the translation of saints was not an unquestioned process. In fact, the use of sheng diverged soon after the death of Matteo Ricci and disagreements continued at least into the early eighteenth century in the Catholic circle in China. This article seeks to deepen the understanding about the use (...) of sheng as translation of saints in the seventeenth- and eighteenth-century China. I focus on the examples of Alfonso Vagnone, Zhang Xingyao and Yan Mo, who represented three different approaches to sheng as the translation of saints in relation to sheng in reference to sages in the Confucian tradition. As we know, the Catholic Church eventually took the solution suggested by Yan Mo, who advocated referring to both Catholic saints and Confucian sages as sheng while maintaining a clear distinction between the two groups. But, before the decision was made in the twentieth century, there was much tension and complexity to translating the concept of Catholic saints as sheng. (shrink)

In order to reduce the misoperation of submersible pilots in the complex environment of deep sea and improve human reliability, it is a very important method to optimize the cabin space of manned submersible. In this paper, manned submersible Jiaolong is taken as an example to describe the breakthrough of traditional modes for optimizing the cabin layout of manned submersible with an aesthetic perspective of deconstruction and reconstruction thinking; the layout is optimized based on deconstruction and reconstruction from the cultural (...) perspective of interdisciplinary. The experimental results show that the layout of manned submersible cabin is optimized by combining the theory of deconstruction and reconstruction aesthetics and human factors engineering, and the feasibility and effectiveness of this method are verified by multiobjective genetic algorithm. Deconstruction and reconfiguration layout optimization improves the human reliability of divers. It is a new method for the optimization of manned submersible cabin layout and also provides a reference for studies on the layout of similar small space. (shrink)

Our country’s equipment manufacturing industry ranks among the best in all developing countries, but compared with developed countries, there is still a long way to go. It is not only the backwardness of various technologies, but also the interference of other countries. Although our country's equipment manufacturing industry is not as advanced as the advanced technology of developed countries, we still have to stick to our original aspirations, do not underestimate ourselves, and be good at absorbing and learning from the (...) strengths of others to make up for our own weaknesses. While not working behind closed doors and while absorbing technology from other countries, we can make use of our strengths to make up for our weaknesses and develop our own industrial technology. This paper studies the evolution trend of innovation network structure and at the same time studies the evolution mechanism of advanced equipment manufacturing innovation network structure from the perspective of complex systems. The explained variable in this article is green total factor productivity. The variable adopts the Malmquist–Luenberger global super-efficiency index model. There are two main explanatory variables. One is the heterogeneity that affects the efficiency of industrial evolution, including factor heterogeneity, structural heterogeneity, and environmental heterogeneity, and the other is the interaction term of equipment manufacturing specialization agglomeration degree dummy variable multiplied by factor heterogeneity. The regional economic development level is added to the model as a control variable. In the selection of measurement indicators, the per capita GDP is used as the control variable. The experimental results show that each sample is tested in pairs, and the standard error level of the mean is 0.018, which is less than 0.05, indicating that the efficiency of the equipment manufacturing industry’s economic correlation spatial network has a significant impact on the overall economic development level of the industry. The reduction in spur helps to increase economic output. (shrink)

The safety and stability of the power supply system are affected by some faults that often occur in power system. To solve this problem, a criterion algorithm based on the chaotic neural network and a fault detection algorithm based on discrete wavelet transform are proposed in this paper. MATLAB/Simulink is used to establish the system model to output fault signals and travelling wave signals. Db4 wavelet decomposes the travelling wave signals into detail signals and approximate signals, and these signals are (...) combined with the two-terminal travelling wave location method to achieve fault location. And the wavelet detail coefficients are extracted to input to the proposed chaotic neural network. The results show that the criterion algorithm can effectively determine whether there are faults in the power system, the fault detection algorithm has the capabilities of locating the system faults accurately, and both algorithms are not affected by fault type, fault location, fault initial angle, and transition resistance. (shrink)

Based on the nationally representative sample data from the Chinese General Social Survey, this study examines the relationship of education levels and health status with an individual's probability of being employed in China. The findings obtained from the binary logistic regression estimator suggest that people with a higher level of education were more likely to be employed than those who have less or no education. The individual with university or above education was found to be 85% more likely to be (...) employed than college or equal diploma holders. Further, the healthier individual was found to be 11% more likely to be employed than relatively less healthy. Moreover, the resulting coefficients obtained from the moderation effect suggest that all of the two-way interaction effects among health status and education levels with gender are not statistically significant even at the 10% level. The results suggest that there was no multiplicative effect of gender with health status and level of education on an individual's probability of being employed. Further, the study also suggests important policy implications in the light of China's active labor force market and the gender gap in employment. (shrink)

BackgroundUsing an effective method for evaluating Institutional Review Board (IRB) performance is essential for ensuring an IRB’s effectiveness, efficiency, and compliance with applicable human research standards and organizational policies. Currently, no empirical research has yet been published in China evaluating IRB performance measures by the use of a standardized tool. This study was therefore conducted to develop a Chinese version of the IRB Researcher Assessment Tool (IRB-RAT), assess the psychometric properties of the Chinese version (IRB-RAT-CV), and validate the tool for (...) use in China.MethodsIn this cultural adaptation, cross-sectional validation study, the IRB-RAT-CV was developed through a back-translation process and then distributed to 587 IRB staff members and researchers in medical institutions and schools in Hunan Province that review biomedical and social-behavioral research. Data from the 470 valid questionnaires collected from participants was used to evaluate the reliability, content validity, and construct validity of the IRB-RAT-CV.ResultsParticipants’ ratings of their ideal and actual IRB as measured by the IRB-RAT-CV achieved Cronbach's alpha 0.989 and 0.992, Spearman-Brown coefficient 0.964 and 0.968, and item-total correlation values ranging from 0.631 to 0.886 and 0.743 to 0.910, respectively.ConclusionThe IRB-RAT-CV is a linguistically and culturally applicable tool for assessing the quality of IRBs in China. (shrink)

Mental contrasting with implementation intentions is a self-regulation strategy that enhances goal attainment. This meta-analysis evaluated the efficacy of MCII for goal attainment and explored potential moderators. A total of 21 empirical studies with 24 independent effect sizes were included in the analysis. Results showed that MCII to be effective for goal attainment with a small to medium effect size. The effect was mainly moderated by intervention style. Specifically, studies with interventions based on interactions between participants and experimenters had stronger (...) effects than studies with interventions based on interactions between participants and documents. The results revealed that MCII is a brief and effective strategy for goal attainment with a small to moderate effect; however, because of some publication bias, the actual effect sizes may be smaller. Due to small number of studies in this meta-analysis, additional studies are needed to determine the role of moderator variables. (shrink)

Recent research indicates that social networking site addiction is positively associated with materialism. However, little attention has been paid to the potential mechanisms in this relationship. This study tested the mediating role of depression and the moderating role of need to belong in the relationships between SNS addiction and adolescents’ materialism. This research model was tested among 733 adolescents in China. The findings indicated that both SNS addiction and NTB were positively related to adolescents’ materialism. Mediation analyses showed that depression (...) mediated the association between SNS addiction and adolescents’ materialism. Moderated mediation indicated that the effect of SNS addiction on materialism and the effect of SNS addiction on depression were exacerbated by NTB. This study can advance our understanding of how SNS could contribute to adolescents’ materialism in this digital society. (shrink)

Although there are various ways to express actions and behaviors in natural languages, it is found in cognitive informatics that human and system behaviors may be classified into three basic categories: to be, to have, and to do. All mathematical means and forms, in general, are an abstract description of these three categories of system behaviors and their common rules. Taking this view, mathematical logic may be perceived as the abstract means for describing ‘to be,’ set theory for describing 'to (...) have,' and algebras, particularly the process algebra, for describing ‘to do.’ This is a fundamental view toward the formal description and modeling of human and system behaviors in general, and software behaviors in particular, because a software system can be perceived as a virtual agent of human beings, and it is created to do something repeatable, to extend human capability, reachability, and/or memory capacity. The author found that both human and software behaviors can be described by a three-dimensional representative model comprising action, time, and space. For software system behaviors, the three dimensions are known as mathematical operations, event/process timing, and memory manipulation. This paper introduces the real-time process algebra that serves as an expressive notation system for describing thoughts and notions of dynamic software behaviors. Experimental case studies on applications of RTPA in describing the equivalent software and human behaviors as a series of actions and cognitive processes are demonstrated with real-world examples. (shrink)

The use of drones (or unmanned aerial vehicles, UVAs) in humanitarian action has emerged rapidly in the last decade and continues to expand. These so-called ‘humanitarian drones’ represent the first wave of robotics applied in the humanitarian and development contexts, providing critical information through mapping of crisis-affected areas and timely delivery of aid supplies to populations in need. Alongside these emergent uses of drones in the aid sector, debates have arisen about potential risks and challenges, presenting diverse perspectives on the (...) ethical, legal, and social implications of humanitarian drones. Guided by the methodology introduced by Arksey and O’Malley, this scoping review offers an assessment of the ethical considerations discussed in the academic and gray literature based on a screening of 1,188 articles, from which we selected and analyzed 47 articles. In particular, we used a hybrid approach of qualitative content analysis, along with quantitative landscape mapping, to inductively develop a typology of ethical considerations associated with humanitarian drones. The results yielded 11 key areas of concern: (1) minimizing harm, (2) maximizing welfare, (3) substantive justice, (4) procedural justice, (5) respect for individuals, (6) respect for communities, (7) regulatory gaps, (8) regulatory dysfunction, (9) perceptions of humanitarian aid and organizations, (10) relations between humanitarian organizations and industry, and (11) the identity of humanitarian aid providers and organizations. Our findings illuminate topics that have been the focus of extensive attention (such as minimizing risks of harm and protecting privacy), traces the evolution of this discussion over time (i.e., an initial focus on mapping drones and the distinction of humanitarian from military use, toward the ethics of cargo drones carrying healthcare supplies and samples), and points to areas that have received less consideration (e.g., whether sustainability and shared benefits will be compromised if private companies’ interest in humanitarian drones wanes once new markets open up). The review can thus help to situate and guide further analysis of drone use in humanitarian settings. (shrink)

In order to improve the translation quality of complex English sentences, this paper investigated unknown words. First, two baseline models, the recurrent neural machine translation (RNMT) model and the transformer model, were briefly introduced. Then, the unknown words were identified and replaced based on WordNet and the semantic environment and input to the neural machine translation (NMT) model for translation. Finally, experiments were conducted on several National Institute of Standards and Technology (NIST) datasets. It was found that the transformer model (...) significantly outperformed the RNMT model, its average bilingual evaluation understudy (BLEU) value was 42.14, which was 6.96 higher than the RNMT model, and its translation error rate (TER) was also smaller. After combining the intelligent algorithm, the BLEU values of both models improved, and the TER became smaller; the average BLEU value of the transformer model combined with the intelligent algorithm was 43.7, and the average TER was 57.68. The experiment verifies that the transformer model combined with the intelligent algorithm is reliable in translating complex sentences and can obtain higher-quality translation results. (shrink)