Stock price data have the characteristics of time series. At the same time, based on machine learning long short-term memory which has the advantages of analyzing relationships among time series data through its memory function, we propose a forecasting method of stock price based on CNN-LSTM. In the meanwhile, we use MLP, CNN, RNN, LSTM, CNN-RNN, and other forecasting models to predict the stock price one by one. Moreover, the forecasting results of these models are analyzed and compared. The data (...) utilized in this research concern the daily stock prices from July 1, 1991, to August 31, 2020, including 7127 trading days. In terms of historical data, we choose eight features, including opening price, highest price, lowest price, closing price, volume, turnover, ups and downs, and change. Firstly, we adopt CNN to efficiently extract features from the data, which are the items of the previous 10 days. And then, we adopt LSTM to predict the stock price with the extracted feature data. According to the experimental results, the CNN-LSTM can provide a reliable stock price forecasting with the highest prediction accuracy. This forecasting method not only provides a new research idea for stock price forecasting but also provides practical experience for scholars to study financial time series data. (shrink)

Portioning-out and individuation are two important semantic properties for the characterization of countability. In Mandarin, nouns are not marked with count-mass syntax, and it is controversial whether individuation is encoded in classifiers or in nouns. In the present study, we investigates the interpretation of a minimal pair of non-interrogativewh-pronominal phrases, includingduo-shao-N andduo-shao-ge-N. Due to the presence/absence of the individual classifierge, these twowh-pronominal phrases differ in how they encode portioning-out and individuation. In two experiments, we used a Truth Value Judgment Task (...) to examine the interpretation of these twowh-pronominal phrases by Mandarin-speaking adults and 4-to-6-year-old children. We found that both adults and children are sensitive to their interpretative differences with respect to the portioning-out and individuation properties. They assign either count or mass readings to the barewh-pronominal phraseduo-shao-N depending on specific contexts, but only count readings to the classifier-bearingwh-pronominal phraseduo-shao-ge-N. Moreover, the portioning-out and individuation properties associated with the individual classifiergeemerge independently in the course of language development, with the portioning-out property taking precedence over the individuation property. Taken together, the present study provides new evidence for the view that the portioning-out and individuation properties in Mandarin are encoded in classifiers rather than in nouns, and these two semantic properties are two distinct components in our grammar. (shrink)

In order to deal with high-dimensional distributed data, this article develops a novel and communication-efficient approach for sparse and high-dimensional data with the penalized quantile regression. In each round, the proposed method only requires the master machine to deal with a sparse penalized quantile regression which could be realized fastly by proximal alternating direction method of multipliers algorithm and the other worker machines to compute the subgradient on local data. The advantage of the proximal ADMM algorithm is that it could (...) make every parameter of iteration to have closed formula even in high-dimensional case, which greatly improves the speed of calculation. As for the communication efficiency, the proposed method does not sacrifice any statistical accuracy and provably improves the estimation error obtained by centralized method, provided the penalty levels are chosen properly. Moreover, the asymptotic properties of the proposed estimation and the convergence of the algorithm are convincible. Especially, it presents extensive experiments on both the numerical simulations and the HIV drug resistance data analysis, which all confirm the significant efficiency of our proposed method in quantile regression for distributed data by comparative and empirical analysis. (shrink)

As the application of the Internet of Things technology continues to deepen in various fields, it also continues to develop in the agricultural field and the agricultural landscape. This article uses the agricultural Internet of Things to conduct an in-depth analysis and research on the planning and design of smart gardens and combines field research and project practice on the basis of theoretical analysis. Through the combination of agricultural Internet of Things technology and agricultural landscape, the planning and design of (...) smart gardens are studied. The theories used include Internet of Things technology, agricultural industrialization theory, sustainable agricultural development theory, new rural construction theory in agricultural disciplines, ecotourism theory, tourism psychology theory in tourism disciplines, landscape ecology theory, landscape aesthetics theory, and garden planning and design theory. From related theories to planning and design practice, a more systematic study of the smart park has been carried out to provide scientific guidance for the agriculture of the smart park. To provide scientific guidance for the planning and design of agricultural IoT of smart gardens, the theoretical system of planning and design of smart gardens based on the integration of agricultural IoT is proposed and systematically elaborated, including its concept, characteristics, related theories, and guidance methods. (shrink)

全书结合熊十力、张东荪、金岳霖、康德、罗素等的知识论思想,对当代新儒家学者牟宗三的有关思想进行了系统的批判性研究。围绕“认知的知识”与“道德的知识”这两大知识领域,本书主要分析了牟宗三在建构两类知识以 及论述二者关系过程中所步入的种种理论窠臼,同时也对其形而上学、逻辑哲学、道德哲学等思想进行了评判。借此,本书力图表明当代新儒家知识论的理论意义与制限之处.

As the main sales force of life insurance companies, salespeople have accounted for more than 50% of life insurance sales channels over the years, playing a pivotal role in the development of the industry. Since the adoption of the model of employment at an agency, the commission income of life insurance salespeople has largely relied on their sales volume, which requires employee proactivity under a great number of stressors. However, because previous studies have analyzed stressors in a single dimension, our (...) understanding of the relationship between work stressors and proactive behaviors remains limited. Applying self-determination theory, we investigated differential relationships between challenge/hindrance stressors and proactive behaviors, which were expected to be mediated by passion and moderated by servant leadership. In the sample of 332 insurance salespeople, there was a positive relationship between challenge stressors and proactive behaviors. In addition, passion mediated the relationship between stressors and proactive behaviors, and servant leadership moderated the relationship between stressors and passion. Theoretical and practical implications are discussed. (shrink)

First published in 1974. Despite the tendency of contemporary analytic philosophy to put logic and mathematics at a central position, the author argues it failed to appreciate or account for their rich content. Through discussions of such mathematical concepts as number, the continuum, set, proof and mechanical procedure, the author provides an introduction to the philosophy of mathematics and an internal criticism of the then current academic philosophy. The material presented is also an illustration of a new, more general method (...) of approach called substantial factualism which the author asserts allows for the development of a more comprehensive philosophical position by not trivialising or distorting substantial facts of human knowledge. (shrink)

Quantum cognition research applies abstract, mathematical principles of quantum theory to inquiries in cognitive science. It differs fundamentally from alternative speculations about quantum brain processes. This topic presents new developments within this research program. In the introduction to this topic, we try to answer three questions: Why apply quantum concepts to human cognition? How is quantum cognitive modeling different from traditional cognitive modeling? What cognitive processes have been modeled using a quantum account? In addition, a brief introduction to quantum probability (...) theory and a concrete example is provided to illustrate how a quantum cognitive model can be developed to explain paradoxical empirical findings in psychological literature. (shrink)

Dispositionality is a modal notion of a certain sort. When an object is said to have a disposition, we typically understand this to mean that under certain circumstances, the object would behave in a certain way. For instance, a fragile object is disposed to break when dropped onto a concrete surface. It need not actually break - its being fragile has implications that, so to speak, point beyond the actual world. According to dispositionalism, all modal features of the world may (...) be accounted for in terms of its dispositional features. My aim in this paper is to assess the prospects for dispositionalism by examining the most promising theories. Sections 1 and 2 clarify the assumptions and desiderata of a successful dispositionalist theory of modality. Section 3 introduces the principles governing the dispositionalist theories that apparently meet the desiderata. Sections 4 through 6 show that dispositionalism nonetheless faces three problems: while dispositions help account for modal features of the world that are local, diachronic, or gradable, they cannot account for certain modal features of the world that are global, synchronic, or absolute. I end by discussing the costs of preserving dispositionalism. (shrink)

Many are reluctant to accept primitive modality into their fundamental picture of the world. The worry often traces to this thought: we shouldn't adopt any more primitive - that is, unexplained - notions than we need in order to explain all the features of the world, and primitive modal notions are not needed. I examine one prominent rival to modal primitivism, combinatorialism, and show that in order to account for all the modal features of the world the combinatorialist must adopt (...) two additional primitive notions. My own modal primitivist view takes as primitive the notion of incompatibility between properties or relations. I show how the non-modal notions that the combinatorialist must adopt as primitive may be analyzed using my notion. The upshot is that with respect to the number of primitive notions, my modal primitivist theory comes out ahead. (shrink)

Question order effects are commonly observed in self-report measures of judgment and attitude. This article develops a quantum question order model (the QQ model) to account for four types of question order effects observed in literature. First, the postulates of the QQ model are presented. Second, an a priori, parameter-free, and precise prediction, called the QQ equality, is derived from these mathematical principles, and six empirical data sets are used to test the prediction. Third, a new index is derived from (...) the model to measure similarity between questions. Fourth, we show that in contrast to the QQ model, Bayesian and Markov models do not generally satisfy the QQ equality and thus cannot account for the reported empirical data that support this equality. Finally, we describe the conditions under which order effects are predicted to occur, and we review a broader range of findings that are encompassed by these very same quantum principles. We conclude that quantum probability theory, initially invented to explain order effects on measurements in physics, appears to be a powerful natural explanation for order effects of self-report measures in social and behavioral sciences, too. (shrink)

Epistemic logic has become a major field of philosophical logic ever since the groundbreaking work by Hintikka [58]. Despite its various successful applications in theoretical computer science, AI, and game theory, the technical development of the field has been mainly focusing on the propositional part, i.e., the propositional modal logics of “knowing that”. However, knowledge is expressed in everyday life by using various other locutions such as “knowing whether”, “knowing what”, “knowing how” and so on (knowing-wh hereafter). Such knowledge expressions (...) are better captured in quantified epistemic logic, as was already discussed by Hintikka [58] and his sequel works at length. This paper aims to draw the attention back again to such a fascinating but largely neglected topic. We first survey what Hintikka and others did in the literature of quantified epistemic logic, and then advocate a new quantifier-free approach to study the epistemic logics of knowing-wh, which we believe can balance expressivity and complexity, and capture the essential reasoning patterns about knowing-wh. We survey our recent line of work on the epistemic logics of ‘knowing whether”, “knowing what” and “knowing how” to demonstrate the use of this new approach. (shrink)

There is a puzzle concerning the essences of fundamental entities that arises from considerations about essence, on one hand, and fundamentality, on the other. The Essence-Dependence Link (EDL) says that if x figures in the essence of y, then y is dependent upon x. EDL is prima facie plausible in many cases, especially those involving derivative entities. But consider the property negative charge. A negatively charged object exhibits certain behaviors that a positively charged object does not: it moves away from (...) other negatively charged objects, towards positively charged objects, etc. It is commonly thought that negative charge disposes its bearer to move away from other negatively charged objects, towards positively charged objects, etc. But if negative charge is fundamental, then no other entities—including the property positive charge—can figure in its essence. We thus have a prima facie puzzle: How can we say anything interesting about the essences of fundamental entities without running afoul of EDL? In this paper, I present and discuss the consequences of EDL for the debate between causal essentialists and quidditists about properties, and propose solutions to the puzzle. (shrink)

Recent literature suggests that ethical leadership helps to inhibit followers’ unethical behavior, largely built on the premise that followers view ethical leaders as ethical role models and socially learn from them, thereby engaging in more ethical conduct. This premise, however, has not been adequately tested, leaving insufficient understanding concerning the conditions under which this social learning process occurs. In this study, we revisit this premise, theorizing that not all followers will equally regard the same ethical leader as being a personal (...) ethical role model, thereby bounding the leader’s effects in reducing followers’ unethical behavior. We integrate the role of follower self-concepts into social learning theory, hypothesizing that the extent followers emulate their ethical leaders is contingent on how they identify with ethics as well as the particular leader. We test our hypotheses with three-wave survey data collected from 214 employees, finding that ethical leaders are viewed as being role models only amongst followers higher in moral identity and leader identification, and that followers’ perceptions that the leader is an ethical role model mediated the effect of ethical leadership on followers’ unethical behavior. Interestingly, results for the full-model tests show that ethical leadership evokes unethical behavior amongst followers lower in both moral identity and leader identification. These results suggest that ethical leadership is not a universally useful practice to decrease unethical behavior and that a more nuanced understanding of its contingent effects needs to be better understood. (shrink)

Drawing on social exchange theory, we examine the conditions under which employees’ good intentions motivate them to engage in unethical pro-organizational behavior (UPB) and the psychological mechanism behind this behavioral decision. Findings from a time-lagged field study and a scenario study indicate (1) an interactive effect between perceived organizational support and employee performance on UPB; (2) that low performers who perceive high levels of organizational support are more likely to engage in UPB; and (3) that feelings of indebtedness to the (...) organization mediate the interactive effect on UPB. Therefore, the paper highlights the importance of conditional factors in motivating UPB by combining employee ‘good intentions’ and ‘disadvantageous situations’ to understand the UPB decision process. The paper concludes with theoretical and practical implications. (shrink)

In order to solve a series of problems brought about by rapid development of science and technology, it is necessary not only to conduct in-depth research on science and technology ethics, but also to strengthen ethics education in science and technology. China’s five technical universities exemplify the specific situation and characteristics of ethics at Chinese technical universities, and can be compared to the situation in South Africa. China’s ethics education in the 5TU emphasizes the use of traditional ideological and cultural (...) resources, and practical cases. The teaching methods focus on combining traditional Chinese ethics with foreign experience and teaching methods, aiming at cultivating students’ ability to solve specific problems in the real world. This paper also evaluates and reflects on the short-term and long-term effects of China’s ethics education in science and technology, revealing some special problems. Ethics education in science and technology at the 5TU is based on the principle of “unity of knowledge and behaviour”. It is hoped that China’s ethics education founded on traditional Chinese thought, can make a valuable contribution to the development of global engineering ethics. (shrink)

A survey study was conducted to look into the effect of Confucian ethics and the psychological foundations of morality on business managers' perspectives on corporate social responsibility (CSR). Using responses from 393 Chinese managers, we first conducted confirmatory factor analysis to assess the reliability and validity of the measurement model and then employed hierarchical regression to explore the relationships among Confucian ethics, moral foundations, and managers' shareholder value perspectives. The results indicate that both Confucian ethics and managers' moral foundations had (...) significant influence on shareholder value perspectives. In fact, moral foundations and Confucian ethics interacted and jointly affected managers' positions on the shareholder value model of corporate responsibility. This study demonstrates the importance of psychological foundations of morality to managers' CSR orientations and substantiates the persistent impact of Confucian ethics/cultural traditions on today' business practices. (shrink)

Background:When the contagious COVID-19 spread worldwide, the frontline staff faced unprecedented excessive work pressure and expectations of all of the society.Objective:The aim was to explore healthcare workers’ stress and influencing factors when caring for COVID-19 patients from an altruistic perspective.Methods:A cross-sectional, descriptive study was conducted in a tertiary hospital during the outbreak of COVID-19 between February and March 2020 in Wuhan, the capital city of Hubei province in China. Data were collected from 1208 healthcare workers. Descriptive statistics and multiple linear (...) regression were used to analyze the data.Ethical considerations:Research ethics approval (with the code of TJ-IRB20200379) was obtained from Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology. Written informed consent was also received from participants.Results:Less than 60% of participants chose moderate or severe stress on all stressors, indicating a low stress level among healthcare workers. The main source of stress among frontline healthcare workers caring for COVID-19 patients came from the fear of being infected, the fear of family members being infected, and the discomfort caused by protective equipment. Frontline staff who were nurses, were married, and had worked more than 20 days suffered higher stress, whereas rescue staff showed lower stress.Conclusion:The healthcare workers caring for patients with COVID-19 had low stress level, although they still had the fear of being infected or uncomfortable feeling caused by personal protective equipment. A low stress level among healthcare workers indicated their professional devotion and altruism during COVID-19 epidemic. Medical institutions and the government should continue to strengthen infection prevention measures and provide more comprehensive care involving families of frontline healthcare workers, especially nurses and married staff. It will be a lesson to other countries that awaking healthcare workers’ inside motivation and providing necessary support from government and society were significant. (shrink)

Cognitive enhancement has an increasingly wider influence on our life. The main issue that concerns epistemologists is what its epistemological implications are. Adam Carter and Duncan Pritchard argue that cognitive enhancement improves cognitive achievement, but this view faces axiological objections. A worry exists that cognitive enhancement undermines achievements and erodes intellectual character. Crucially, two parties seem to talk past each other because the nature of cognitive enhancement and the value of cognitive enhancement are not clearly distinguished. To end the stand‐off (...) between the two parties, I take insight from Gwen Bradford’s work and argue that, other things being equal, cognitive enhancement either decreases the value of cognitive achievement or undermines cognitive achievement. In the face of this threat, I further submit that we could learn to live with cognitive enhancement in an integrated way so that the lost value can be restored. (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)

This book considers the Chinese conception of beauty from a historical perspective with regard to its significant relation to human personality and human existence. It examines the etymological implications of the pictographic character mei, the totemic symbolism of beauty, the ferocious beauty of the bronzeware. Further on, it proceeds to look into the conceptual progression of beauty in such main schools of thought as Confucianism, Daoism and Chan Buddhism. Then, it goes on to illustrate through art and literature the leading (...) principles of equilibriumharmony, spontaneous naturalness, subtle void and synthetic possibilities. It also offers a discussion of modern change and transcultural creation conducted with particular reference to the theory of the poetic state par excellence and that of art as sedimentation. (shrink)

Too often Confucian women’s voices and experiences are neglected as insignificant. This paper provides a wide and diverse set of examples of traditional Chinese and Korean women who knew and practiced Confucian ritual. Though representing only a small percentage of traditional women, these examples provide clear evidence and compelling arguments that support the following three conclusions. First, that the Confucian tradition did not deny women’s ability to know and perform rituals; second, that Confucian women read, learned, evaluated, decided, and contributed (...) to re/create the conception and practice of ritual; and third, that this led at least some women and the men around them to recognize and admire not only their moral agency but also their ability to become sages. (shrink)

The increasing demand for environmental protection has given rise to burgeoning research on green consumption. The present research adds to this expanding literature by investigating a novel predictor of consumer green consumption: awe. As a self-transcendent emotion, awe arises when people encounter perceptually vast stimuli that overwhelm their existing knowledge and mental structures, and, meanwhile, this also elicits a need for accommodation. This research proposes and demonstrates that, compared with happiness and a neutral affective state, experience of awe promotes green (...) consumption via an enhanced psychological ownership of nature. Moreover, this research identifies a condition by showing that, while awe promotes green consumption when interdependent self-construal is activated, this effect diminishes when independent self-construal is activated. (shrink)

This Special Issue collects five articles that are located in the present global context, and draw on methods from across critical discourse studies (CDS) to examine the interaction between material realities of climate change and discursive communication between different Parties and non-Party stakeholders in multimodal ways and on multiple platforms. To this end, it draws on discourses such as the UN speeches, UN documents, EU green deal policy, official documents submitted by African countries to the United Nations Framework Convention on (...) Climate Change (UNFCCC), and news reports in China and Australia. In these studies, diverse social and linguistic concepts were utilized and revisited to better inform the use of linguistic and/or visual symbols in different types of public discourse. This Special Issue aims to take the field a step further by showing the importance of carrying out more international research to expand our knowledge of the global, regional, and local discourse and ideologies that shape what we come to know and understand as climate change and how it is to be addressed. We envisage it will bring significant theoretical, methodological, and empirical insights into the relations between language use, discursive practice, and social practice. (shrink)

Background: Pediatric COVID-19 vaccine hesitancy hinders the establishment of immune barrier in children. Psychological flexibility may be a key contributing factor to pediatric COVID-19 vaccine hesitancy, and self-efficacy and coping style play an important role in the relationship, but the underlying mechanisms remain unknown.Methods: A cross-sectional study was conducted on parents from June 2021 to July 2021. A total of 382 parents were recruited for an online-investigation. Serial mediation models were used to examine whether self-efficacy and coping style mediated in (...) the psychological flexibility-pediatric COVID-19 vaccine hesitancy linkage.Result: Psychological flexibility was negatively related to pediatric COVID-19 vaccine hesitancy. Coping styles rather than self-efficacy played a mediating role independently. Serial mediation analyses indicated that self-efficacy and coping style co-play a serial mediating role in the association of psychological flexibility and pediatric COVID-19 vaccine hesitancy.Conclusion: The present study showed that high psychological flexibility, high self-efficacy, and positive coping style were conducive to the lower pediatric COVID-19 vaccine hesitancy. (shrink)

Employees remaining silent about ethical aspects of work or organization-related issues, termed employee ethical silence, perpetuates misconduct in today’s business setting. However, how and why it occurs is not yet well specified in the business ethics literature, which is insufficient to manage corporate misconducts. In this research, we investigate how and when exploitative leadership associates with employee ethical silence. We draw from the conservation of resources theory to theorize and test a cognitive resource pathway (i.e., work meaningfulness) and a moral (...) resource pathway (i.e., moral potency) to explain the association between exploitative leadership and employee ethical silence. Results from two studies largely support our hypotheses that work meaningfulness and moral potency mediate the effect of exploitative leadership on ethical silence contingent on performance reward expectancy. Theoretical and practical implications are thoroughly discussed in the paper. (shrink)

on how to justify the rationality of sciences.

Neural network models have recently made striking progress in natural language processing, but they are typically trained on orders of magnitude more language input than children receive. What can these neural networks, which are primarily distributional learners, learn from a naturalistic subset of a single child's experience? We examine this question using a recent longitudinal dataset collected from a single child, consisting of egocentric visual data paired with text transcripts. We train both language-only and vision-and-language neural networks and analyze the (...) linguistic knowledge they acquire. In parallel with findings from Jeffrey Elman's seminal work, the neural networks form emergent clusters of words corresponding to syntactic (nouns, transitive and intransitive verbs) and semantic categories (e.g., animals and clothing), based solely on one child's linguistic input. The networks also acquire sensitivity to acceptability contrasts from linguistic phenomena, such as determiner-noun agreement and argument structure. We find that incorporating visual information produces an incremental gain in predicting words in context, especially for syntactic categories that are comparatively more easily grounded, such as nouns and verbs, but the underlying linguistic representations are not fundamentally altered. Our findings demonstrate which kinds of linguistic knowledge are learnable from a snapshot of a single child's real developmental experience. (shrink)

The way in which business ethics change over time will remain theoretically unclear unless we empirically reveal the temporal coevolution and coalignment among a changing environment, transitional institutions, strategic adaptations, and performance implications. To revitalize this coevolutionary perspective in business ethics research, in this special issue, we ask the following question: how do business ethics practices coevolve with a changing society and technology advancement as a result of the strategic choices of organizations in adapting to and shaping the environment? This (...) special issue includes a collection of seven empirical studies of business ethics in China that differ in methodology and empirical context but collectively showcase the change in business ethics practices in an emerging economy and the processes underlying this change. Based upon the findings, we propose a conceptual model of the coevolution among business ethics practices, technological innovation, institutional transition and disruptive events; then, we pose questions for future research. (shrink)

Dong Zhongshu (Tung Chung-shu) (179-104 B.C.E.) was the first prominent Confucian to integrate yin-yang theory into Confucianism. His constructive effort not only generates a new perspective on yin and yang, it also involves implications beyond its explicit contents. First, Dong changes the natural harmony (he ﾈﾱ) of yin and yang to an imposed unity (he 合). Second, he identifies yang with human nature (xing) and benevolence (ren), and yin with emotion (qing) and greed (tan). Taken together, these novelties grant a (...) philosophical basis for the theory and practice of gender inequality in their specifically Chinese manifestations. An analysis of Dong's work shows that the merce complementarity of yin and yang does not guarantee gender equality; they are not fixed categories, but together form a transformative dynamic harmony. (shrink)

Since 2016, drones have been deployed in various development projects in sub-Saharan Africa, where trials, tests, and studies have been rolled out in countries, including Tanzania, Uganda, Rwanda, Malawi, Ghana, and the Democratic Republic of the Congo. The use cases of drones vary, ranging from imagery collection to transportation of vaccines, lab samples, blood products, and other medical supplies. A wide range of stakeholders is involved, including governments, international organizations, educational institutions, as well as industry. Based on a field study (...) conducted in 2019, this article investigates how drones are used for medical supply delivery in Malawi-a country where the community is underserved for healthcare and related infrastructure underdeveloped, while airspace is largely open and regulations generally relaxed. The objective of presenting this case study is to contribute to the evidence regarding the rapid deployment of medical cargo drones across the African continent, and to spark critical reflections over the utility, suitability, and impacts of incorporating drones in the existing health supply chain systems in resource-poor settings. The discussion revolves around two aspects: 1) the emergent “African Drone Rise”-is it ok “as it is Africa”? and 2) the normative role of technology in the aid sector-is it “a solution looking for a problem”? In conclusion, a call for more structured guidance for the systematic examination and evaluation of the medical cargo drone case is raised. (shrink)

Increasingly, humanitarian organizations across the globe have been implementing innovative technologies in their practice as they respond to the needs of communities affected by conflicts, disasters, and public health emergencies. However, technological innovation may intersect with moral values, norms, and commitments, and may challenge humanitarian imperatives. Through the examination of an empirical case study on drone mapping, this paper aims to explore three questions: (1) What are the dynamics between aid delivery and technological innovation in the humanitarian enterprise? (2) How (...) are structural problems addressed in an environment in which technology is being portrayed as a force for change? (3) What moral responsibilities towards vulnerable populations should humanitarian stakeholders bear when introducing innovative technologies in humanitarian action. Discussion revolves around the ideology of “technological utopia”, and the normative role of technology in the aid sector - to make substantive impacts, or to produce “success stories”. In conclusion, a call for rigorous ethical analysis to help foster value sensitive humanitarian innovation (VSHI) is made. (shrink)

With the rise of the “humanitarian drone” in recent years, drones have become one of the most controversial public interest technologies that have gained increasing media attention. It is worth noting that, although there is a perception in the aid sector that drones hold the promise to reinvent the health supply logistics, to date, routine drone delivery is still relatively new and largely unproven. This paper presents a recent field study conducted in 2019, where drones were deployed in Malawi to (...) help address the last mile challenge in medical supply delivery, and where a noticeable mentality of “killing two birds with one stone” around the attempt of using drones in resource-poor settings is observed. The objective of the paper is to shed light, through a real-world case study and from the ethical perspective, on the impacts of implementing such a systemic change in the existing health supply chain systems. As conclusion, a call for more reflexive approaches for the critical examination, as well as more structured guidance for the responsible evaluation, of medical cargo drones is raised. (shrink)

This study explored calibrating a large item bank for use in multidimensional health measurement with computerized adaptive testing, using both item responses and response time (RT) information. The Activity Measure for Post-Acute Care is a patient-reported outcomes measure comprised of three correlated scales (Applied Cognition, Daily Activities, and Mobility). All items from each scale are Likert type, so that a respondent chooses a response from an ordered set of four response options. The most appropriate item response theory model for analyzing (...) and scoring these items is the multidimensional graded response model (MGRM). During the field testing of the items, an interviewer read each item to a patient and recorded, on a tablet computer, the patient’s responses and the software recorded RTs. Due to the large item bank with over 300 items, data collection was conducted in four batches with a common set of anchor items to link the scale. Van der Linden’s (2007) hierarchical modeling framework was adopted. Several models, with or without interviewer as a covariate and with or without interaction between interviewer and items, were compared for each batch of data. It was found that the model with the interaction between interviewer and item, when the interaction effect was constrained to be proportional, fit the data best. Therefore, the final hierarchical model with lognormal model for RT and the MGRM for response data was fitted to all batches of data via a concurrent calibration. Evaluation of parameter estimates revealed that (1) adding response time information did not affect the item parameter estimates and their standard errors significantly; (2) adding response time information helped reduce the standard error of patients’ multidimensional latent trait estimates, but adding interviewer as a covariate did not result in further improvement. Implications of the findings for follow up adaptive test delivery design are discussed. (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)

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)