In air traffic control, the airspace is divided into several smaller sectors for better management of air traffic and air traffic controller workload. Such sectors are usually managed by a team of two air traffic controllers: planning controller and executive controller. D-side controller is responsible for processing flight-plan information to plan and organize the flow of traffic entering the sector. R-side controller deals with ensuring safety of flights in their sector. A better understanding and predictability of D-side controller actions, for (...) a given traffic scenario, may help in automating some of its tasks and hence reduce workload. In this paper, we propose a learning model to predict D-side controller actions. The learning problem is modeled as a supervised learning problem, where the target variables are D-side controller actions and the explanatory variables are the aircraft 4D trajectory features. The model is trained on six months of ADS-B data over an en-route sector, and its generalization performance was assessed, using crossvalidation, on the same sector. Results indicate that the model for vertical maneuver actions provides highest prediction accuracy. Besides, the model for speed change and course change action provides predictability accuracy of 80% and 87%, respectively. The model to predict the set of all the actions for each flight achieves an accuracy of 70% implying for 70% of flights; D-side controller’s action can be predicted from trajectory information at sector entry position. In terms of operational validation, the proposed approach is envisioned as ATCO assisting tool, not an autonomous tool. Thus, there is always ATCO discretion element, and as more ATCO actions are collected, the models can be further trained for better accuracy. For future work, we will consider expanding the feature set by including parameters such as weather and wind. Moreover, human in the loop simulation will be performed to measure the effectiveness of the proposed approach. (shrink)

Philosophy in Vietnam is defined as a system of the most universal points of view on the world and the place of man in this world. Philosophy often plays a key role it plays in one’s worldview and methodology. The question is: on what problems should philosophy focus in order to successfully carry out its worldview andmethodological role in the present context? Firstly, if international philosophers are focusing their research on problems caused by globalization, Vietnamese philosophers should orient their research (...) on the practical problems raised by building and developing our country in the context of globalization and international economic integration. Secondly, one of the important tasks for Vietnamese philosophers is to research the philosophical thought of Vietnam. Thirdly, one of the no less important tasks for people engaging in research and teaching of philosophy in Vietnam is to investigate the trends and ideas of preeminent world philosophers, both in the East as well as in the West. (shrink)

Since 2013, Vietnam has implemented a plan to reform the whole education sector. However, there is little understanding on the status of educational research in Vietnam, which may lay the foundation for such plan. Thus, this research aims to analyze the whole picture of educational research from Vietnam, as seen from the Clarivate Web of Science (WOS) database: 215 publications were recorded, ranging from 1991 to 2018. These 215 publications were further analyzed from five perspectives: 1) number of publications by (...) year; 2) research fields and levels of education; 3) top institutions with the highest number of publications; 4) international collaboration; and 5) quality. Some of the most notable results are: 1) the educational sciences in Vietnam have been still under-developed until recently; 2) among different research topics research among educational sciences, some (e.g., Vocational Education and Training or Early Childhood Education) seemed to be overlooked whereas others (e.g., Higher Education and Teaching and Learning) seemed to receive more attention from educational scholars; 3) all the most major education – specialized universities did not appear among the top five institutions with highest number of publications; 4) Australia, Thailand, the USA, New Zealand and China were the countries with the highest number of co-publications with Vietnamese researchers; and 5) The majority of publications belonged to low-ranked journals. Implications would be withdrawn for Vietnamese policymakers, education leaders, educational researchers and teachers in order to adjust their policies and/or action plans; thus, enhancing the performance and impacts of educational research in the future. (shrink)

Nowadays, the power systems are getting more and more complicated because of the delays introduced by the communication networks. The existence of the delays usually leads to the degradation and/or instability of power system performance. On account of this point, the traditional load frequency control approach for power system sketches a destabilizing impact and an unacceptable system performance. Therefore, this paper proposes a new LFC based on adaptive integral second-order sliding mode control approach for the large-scale power system with communication (...) delays. First, a new linear matrix inequality is derived to ensure the stability of whole power systems using Lyapunov stability theory. Second, an AISOSMC law is designed to ensure the finite time reachability of the system states. To the best of our knowledge, this is the first time the AISOSMC is designed for LFC of the LSPSwCD. In addition, the report of testing results presents that the suggested LFC based on AISOSMC can not only decrease effectively the frequency variation but also make successfully less in mount of power oscillation/fluctuation in tie-line exchange. (shrink)

In today’s global higher education environment, international students represent not only an important source of external income for universities: the degree of cross-border student mobility also reflects the internationalization of higher education sector. Universities have engaged in efforts to sell themselves to prospective students and promotional videos are among the most widely used marketing tools for this purpose. This study reports the results of a study analyzing the content of 140 higher education promotional videos from 14 countries available on YouTube. (...) The results reveal that while the pattern of use of YouTube for two-waycommunication with viewers, information contents and appeal messages among sampled universities is fairly homogenous, some marked differences emerge when cultural background and global position ranking of the university are taken into account. The implications of these findings are that, although, transnational higher education has been profoundly globalized, culture still plays a significant role in marketing practice for the recruitment of mobile students. In addition, different universities have various student-targeted segments. These findings provide the basis of a series of recommendations for universities looking to optimize their use of YouTube and promotional video design to market to international students. (shrink)

Motivated by exploitation concerns, we argue for the importance of participant engagement in basic human intracranial electrophysiology research. This research takes advantage of unique neurosurgical opportunities to better understand complex systems of the human brain, but it also exposes participants to additional risks without immediate therapeutic intent. We argue that understanding participant values and incorporating their perspectives into the research process may help determine whether and to what extent research practices and the resulting distributions of risks and benefits constitute exploitation (...) and contribute to building a brain research paradigm that is genuinely responsive to participant values. More broadly, we highlight the importance of paying attention to participant interests in non-therapeutic brain research. (shrink)

A growing amount of media is paid for by its consumers through their very consumption of it. Typically, this new media is web-based and paid for by advertising. It includes the services offered by Facebook, Instagram, Snapchat, and YouTube. We offer an ethical assessment of the attention economy, the market where attention is exchanged for new media. We argue that the assessment has ethical implications for how the attention economy should be regulated. To conduct the assessment, we employ two heuristics (...) for evaluating markets. One is the “harm” criterion, which relates to whether the market tends to engender extremely harmful outcomes for individuals or society as a whole. The other is the “agency” criterion, which relates not to the outcomes of the market, but rather, to whether it somehow reflects or has its source in weakened agency. We argue that the attention economy animates concerns with respect to both criteria and that new media should be subject to the same sort of regulation as other harmful, addictive products. (shrink)

Recent advancements in neuroengineering research have prompted neuroethicists to propose a variety of “ethical guidance” frameworks (e.g., principles, guidelines, framing questions, responsible research innovation frameworks, and ethical priorities) to inform this work. In this chapter, we offer a comparative analysis of five recently proposed ethical guidance frameworks (NIH neuroethics guiding principles, Nuffield Council on Bioethics, Global Neuroethics Summit Delegates, the Center for Neurotechnology’s neuroethical principles and guidelines, and the Neurotechnology Ethics Taskforce’s ethical priorities). We identify some common themes among these (...) frameworks, making explicit significant areas of convergence. We also highlight three areas of ethical consideration that have not received sufficient attention across these frameworks (extended care for research participants, cultural salience, and stakeholder input). Further attention and analysis of these three areas would improve the breadth and scope of ethical considerations for neuroengineering research. (shrink)

This paper offers some refinements to a particular objection to act consequentialism, the “causal impotence” objection. According to proponents of the objection, when we find circumstances in which severe, unnecessary harms result entirely from voluntary acts, it seems as if we should be able to indict at least one act among those acts, but act consequentialism appears to lack the resources to offer this indictment. Our aim is to show is that the most promising response on behalf of act consequentialism, (...) the threshold argument, cannot offer a fully general prescription about what to do in cases of collective action. (shrink)

Algorithms influence every facet of modern life: criminal justice, education, housing, entertainment, elections, social media, news feeds, work… the list goes on. Delegating important decisions to machines, however, gives rise to deep moral concerns about responsibility, transparency, freedom, fairness, and democracy. Algorithms and Autonomy connects these concerns to the core human value of autonomy in the contexts of algorithmic teacher evaluation, risk assessment in criminal sentencing, predictive policing, background checks, news feeds, ride-sharing platforms, social media, and election interference. Using these (...) case studies, the authors provide a better understanding of machine fairness and algorithmic transparency. They explain why interventions in algorithmic systems are necessary to ensure that algorithms are not used to control citizens' participation in politics and undercut democracy. This title is also available as Open Access on Cambridge Core. (shrink)

Le but de la recherche est de construire une base de données fonctionnant sur les principes de l’informatique décisionnelle. L’objet de la communication est de décrire la hiérarchie des diverses dimensions de la base de données. Elle permettra d’observer la diversité des relations temporelles dans des textes enfantins. L’analyse s’appuie sur un corpus de 200 récits d’élèves de cycle 3 de l’école élémentaire française. La communication questionne : - le découpage séquentiel du texte - l’analyse interne des séquences - la (...) normalité des productions des élèves. (shrink)

When agents insert technological systems into their decision-making processes, they can obscure moral responsibility for the results. This can give rise to a distinct moral wrong, which we call “agency laundering.” At root, agency laundering involves obfuscating one’s moral responsibility by enlisting a technology or process to take some action and letting it forestall others from demanding an account for bad outcomes that result. We argue that the concept of agency laundering helps in understanding important moral problems in a number (...) of recent cases involving automated, or algorithmic, decision-systems. We apply our conception of agency laundering to a series of examples, including Facebook’s automated advertising suggestions, Uber’s driver interfaces, algorithmic evaluation of K-12 teachers, and risk assessment in criminal sentencing. We distinguish agency laundering from several other critiques of information technology, including the so-called “responsibility gap,” “bias laundering,” and masking. (shrink)

This article aims at conceptualising the notion of embarrassment as a negativistic figure of thought that takes the experience of one’s own non-sovereignty as a starting point and emphasises an engagement with situations of not-knowing. This consideration is clarified in discussion with the figure of Socrates or with the philosophical attitude of Socrates. Because the negativistic thrust of the conceptualisation undertaken is reminiscent of irony, the paper then addresses the question of what distinguishes embarrassment understood as a figure of thought (...) from irony. For this purpose, Kierkegaard’s reading of Socratic irony is drawn upon. It is shown that irony is inherently a negativism, which in the last consequence aims at a retention of rights; but this is exactly what embarrassment avoids, because, as the article shows, it is not a negativism of strength, but of weakness. (shrink)

This paper introduces a novel method to control the operation of the active suspension system. In this research, a quarter-dynamic model is used to simulate the vehicle’s vibrations. Besides, the sliding mode-PID-integrated algorithm with five state variables is proposed to be used. This is a completely original and novel algorithm. The process of establishing the control algorithm is clearly described. The simulation is performed by the MATLAB software. The results of the paper have shown the advantages of the sliding mode-PID (...) algorithm used in this research. Accordingly, the displacement and acceleration of the sprung mass were significantly reduced when this algorithm was used. The maximum and average values of the displacement of the sprung mass are only 1.31% and 1.29%, respectively, compared with the situation of the vehicle using a passive suspension. Similarly, the value of the acceleration is 6.98% and 2.94%, respectively. In addition, the phenomenon of “chattering” has also been significantly reduced when using this controller. In the future, some more complex algorithms can be proposed. (shrink)

Il y a trop de distance entre les conceptions abstraites de la Physique et les modèles intuitifs empruntés à l'univers concret pour que l'on puisse espérer tirer de l'utilisation de ceux-ci des indications exactes. Il faut recourir à des modèles déjà conceptuels et abstraits empruntés plutôt à l'univers mathématique qu'à l'univers sensible.

The recent availability of multiple avian genomes has laid the foundation for a huge variety of comparative genomics analyses including scans for changes and signatures of selection that arose from adaptions to new ecological niches. Nocturnal adaptation in birds, unlike in mammals, is comparatively recent, a fact that makes birds good candidates for identifying early genetic changes that support adaptation to dim‐light environments. In this review, we give examples of comparative genomics analyses that could shed light on mechanisms of adaptation (...) to nocturnality. We present advantages and disadvantages of both “data‐driven” and “hypothesis‐driven” approaches that lead to the discovery of candidate genes and genetic changes promoting nocturnality. We anticipate that the accessibility of multiple genomes from the Genome 10K Project will allow a better understanding of evolutionary mechanisms and adaptation in general. -/- . (shrink)

Computational drug repositioning has been proven as a promising and efficient strategy for discovering new uses from existing drugs. To achieve this goal, a number of computational methods have been proposed, which are based on different data sources of drugs and diseases. These methods approach the problem using either machine learning- or network-based models with an assumption that similar drugs can be used for similar diseases to identify new indications of drugs. Therefore, similarities between drugs and between diseases are usually (...) used as inputs. In addition, known drug-disease associations are also needed for the methods as prior information. It should be noted that those associations are still not well established due to the fact that many of marketed drugs have been withdrawn and this could affect the outcome of the methods. In this study, we propose a novel method named RLSDR to find new uses of drugs. More specifically, it relies on a semi-supervised learning model, Regularized Least Square, thus it does not require definition of non-drug-disease associations as previously proposed machine learning-based methods. In addition, the similarity between drugs measured by chemical structures of drug compounds and the similarity between diseases which share phenotypes can be represented in a form of either similarity network or similarity matrix as inputs of the method. Moreover, instead of using a gold-standard set of known drug-disease associations, we construct an artificial set of the associations based on known disease-gene and drug-target associations. Experiment results demonstrate that RLSDR achieves better prediction performance on the artificial set of drug-disease associations than that on the gold-standard ones in terms of area under the Receiver Operating Characteristic curve. In addition, it outperforms two representative network-based methods irrespective of the prior information of drug-disease associations. Novel indications for a number of drugs are also identified and validated by evidences from a different data resource. (shrink)

Natural disaster events such as drought affect the broader economy and inflict adverse consequences for firms because of spill-over effects in an integrated economy. Contrary to the expectation that firms would engage in higher levels of corporate tax avoidance strategies when they experience a negative cash flow shock, we document consistent evidence that firms engage in less corporate tax avoidance when their headquarter states experience drought. Reduced tax avoidance is more pronounced among firms with higher CSR performance and among firms (...) operating in states that experience a GDP decline. Collectively, the findings of our study demonstrate prosocial and ethical behavior of U.S. firms when they experience natural disaster events. (shrink)

This study investigates the impacts of intellectual capital through Value-Added Intellectual Capital (VAIC) and its components: human capital efficiency (HCE) and structural capital efficiency (SCE) on financial performance in terms of return on assets (ROA) and return on equity (ROE). In addition, this study compares the effects between firms from financial and pharmaceutical industries. A total of 149 Vietnamese firms comprising of 108 financial firms and 41 pharmaceutical firms were examined. Based on the findings, VAIC and HCE show beneficial impacts (...) on both financial performance measures, ROA, and ROE. However, SCE shows adverse and beneficial implications on ROA and ROE, respectively. In terms of industry comparison, VAIC has positive effects on ROA and ROE among the firms from financial industry, whereas it has no effect in the firms from pharmaceutical industry. The effect of HCE on ROA is stronger in the firms from financial industry than firms from pharmaceutical industry while the effect of HCE on ROE is stronger in the firms from pharmaceutical industry than firms from financial industry. The effect of SCE on ROA is stronger in the pharmaceutical firms than financial firms while the effect of SCE on ROE is stronger in the financial firms than pharmaceutical firms. Lastly, the implications of the importance of knowledge-based resources on value creation were elaborated. (shrink)

Relationships with international students can be beneficial to higher education in terms of financial and human resources. For this reason, establishing and maintaining such relationships are usually pre-eminent concerns. In this study, we extended the application of the disconfirmation expectation model by incorporating components from subjective task value to predict the loyalty of international students toward their host countries. On a sample of 410 Vietnamese students enrolled in establishments of higher education in over 15 countries across the globe, we employed (...) structural equation model to construct the conceptual model. Our empirical findings revealed that while the roles of satisfaction and disconfirmation are still important as direct and indirect antecedents of international student loyalty, its most powerful predictors are the three components of subjective task value: attainment, utility and intrinsic. These insights result in a number of implications for actors on the higher ducation scene, such as heads of institutions and policy makers. (shrink)

Algorithmic systems and predictive analytics play an increasingly important role in various aspects of modern life. Scholarship on the moral ramifications of such systems is in its early stages, and much of it focuses on bias and harm. This paper argues that in understanding the moral salience of algorithmic systems it is essential to understand the relation between algorithms, autonomy, and agency. We draw on several recent cases in criminal sentencing and K–12 teacher evaluation to outline four key ways in (...) which issues of agency, autonomy, and respect for persons can conflict with algorithmic decision-making. Three of these involve failures to treat individual agents with the respect they deserve. The fourth involves distancing oneself from a morally suspect action by attributing one’s decision to take that action to an algorithm, thereby laundering one’s agency. (shrink)

Psychometrics firms such as Cambridge Analytica (CA) and troll factories such as the Internet Research Agency (IRA) have had a significant effect on democratic politics, through narrow targeting of political advertising (CA) and concerted disinformation campaigns on social media (IRA) (U.S. Department of Justice 2019; Select Committee on Intelligence, United States Senate 2019; DiResta et al. 2019). It is natural to think that such activities manipulate individuals and, hence, are wrong. Yet, as some recent cases illustrate, the moral concerns with (...) these activities cannot be reduced simply to the effects they have on individuals. Rather, we will argue, the wrongness of these activities relates to the threats they present to the legitimacy of political orders. This occurs primarily through a mechanism we call “emergent manipulation,” rather than through the sort of manipulation that involves specific individuals. (shrink)

During the last two decades Confucian heritage culture countries have widely promoted teaching and learning reforms to advance their educational systems. To skip the painfully long research stage, Confucian heritage culture educators have borrowed Western philosophies and practices with the assumption that what has been done successfully in the West will produce similar outcomes in the East. The wide importation of cooperative learning practices to Confucian heritage culture classrooms recently is an example. However, cooperative learning has been documented in many (...) studies not to work effectively in Confucian heritage culture classrooms. The reason is that the educators often impose this instructional method on the students without a careful consideration of its appropriateness in the socio-cultural context of Confucian heritage culture countries. This procedure is not effective and professional because learning does not stand alone. Rather, it is shaped and influenced by other factors including teaching methods, learning tasks, assessment demands, workload and the learning culture of students in the local context. For cooperative learning to work effectively in Confucian heritage culture classrooms, reformers need to consider the importation of this approach in line with a careful examination of all supports and constraints that affect those factors that are associated with learning. The volume provides an applied theoretical framework and culturally appropriate and practical instructions that could assist Confucian heritage culture educators and teachers to address various factors at multiple levels in order to optimize success in importing cooperative learning to their classrooms. Overall, it provides strategies to assist Confucian heritage culture teachers to change their teaching practices, redesign lessons plans, design assessment methods, and organize learning activities in a manner that can influence Confucian heritage culture students to shift from employing teacher-centered learning approaches to cooperative learning. (shrink)

ABSTRACT: So far in this book, we have examined algorithmic decision systems from three autonomy-based perspectives: in terms of what we owe autonomous agents (chapters 3 and 4), in terms of the conditions required for people to act autonomously (chapters 5 and 6), and in terms of the responsibilities of agents (chapter 7). -/- In this chapter we turn to the ways in which autonomy underwrites democratic governance. Political authority, which is to say the ability of a government to exercise (...) power, may be justifiable or not. Whether it is justified and how it can come to be justified is a question of political legitimacy. Political legitimacy is another way in which autonomy and responsibility are linked. This relationship is the basis of the current chapter, and it is important in understanding the moral salience of algorithmic systems. We will draw the connection as follows. We begin, in section 8.1, by describing two uses of technology: crime predicting technology used to drive policing practices and social media technology used to influence elections (including by Cambridge Analytica and by the Internet Research Agency). In section 8.2 we consider several views of legitimacy and argue for a hybrid version of normative legitimacy based on one recently offered by Fabienne Peter. In section 8.3 we will explain that the connection between political legitimacy and autonomy is that legitimacy is grounded in legitimating processes, which are in turn based on autonomy. Algorithmic systems—among them PredPol and the Cambridge Analytica-Facebook-Internet Research Agency amalgam—can hinder that legitimation process and conflict with democratic legitimacy, as we argue in section 8.4. We will conclude by returning to several cases that serve as through-lines to the book: Loomis, Wagner, and Houston Schools. -/- The link below is to an open-access copy of the chapter. (shrink)

With the passage of the Physician Payment Sunshine Act as part of the federal health care reform law, pharmaceutical manufacturers are now required to disclose a wide range of payments made by manufacturers to physicians. We review current state regulation of pharmaceutical marketing and consider how the federal sunshine provision will affect existing marketing regulation. We analyze the legal and practical implications of the Physician Payment Sunshine Act.

In 2008 pharmaceutical companies spent over $12 billion on product promotion and detailing aimed at U.S. health care practitioners. Drug and device manufacturers rely on a workforce of detailers and physician speakers to reach health care practitioners and nudge their prescribing habits. To prevent undue influence and protect the public fisc, a number of states began regulating these marketing practices, requiring companies to disclose all gifts to practitioners, prohibiting the commercialized sale of prescription data, and prohibiting certain gifts altogether. The (...) 2010 enactment of the Physician Payment Sunshine Act marks the first Congressional involvement in the regulation of disclosure related to pharmaceutical marketing. Overall, the Act improves transparency in pharmaceutical marketing to physicians and expands the regulation of disclosure of pharmaceutical marketing activities in important substantive ways. (shrink)