Problematic smartphone use in college students has been a major public health concern in modern society, which may also lead to adverse health outcomes. Using a three-wave longitudinal study design, the current study aimed to examine the prevalence and psychosocial factors of PSU in a large sample of Chinese college students. The data used in this study was obtained from an ongoing longitudinal study in Guangdong, China. In the current study, a total of 7,434 freshmen and sophomores who completed the (...) first three surveys were included. Self-administered questionnaires were used to assess PSU, possible social anxiety disorders, depressive symptoms, loneliness, family conflicts, academic stress, and some demographic characteristics. Generalized estimating equation models were performed to determine the risk factors associated with PSU. The results showed that 65.8, 58.1, and 52.8% of college students reported PSU at three waves, with an apparent downward trend. Female students reported higher prevalence rates of PSU than males. Depressive symptoms, possible social anxiety disorders, loneliness, family conflicts, and high academic pressure were important risk factors for PSU. Early intervention and identification of those who show signs of PSU may prevent the development of maladaptive coping responses and addictive behaviors, so as to prevent future negative psychosocial consequences. (shrink)

Transcranial Photobiomodulation has demonstrated its ability to alter electrophysiological activity in the human brain. However, it is unclear how tPBM modulates brain electroencephalogram networks and is related to human cognition. In this study, we recorded 64-channel EEG from 44 healthy humans before, during, and after 8-min, right-forehead, 1,064-nm tPBM or sham stimulation with an irradiance of 257 mW/cm2. In data processing, a novel methodology by combining group singular value decomposition with the exact low-resolution brain electromagnetic tomography was implemented and performed (...) on the 64-channel noise-free EEG time series. The gSVD+eLORETA algorithm produced 11 gSVD-derived principal components projected in the 2D sensor and 3D source domain/space. These 11 PCs took more than 70% weight of the entire EEG signals and were justified as 11 EEG brain networks. Finally, baseline-normalized power changes of each EEG brain network in each EEG frequency band were quantified during the first 4-min, second 4-min, and post tPBM/sham periods, followed by comparisons of frequency-specific power changes between tPBM and sham conditions. Our results showed that tPBM-induced increases in alpha powers occurred at default mode network, executive control network, frontal parietal network and lateral visual network. Moreover, the ability to decompose EEG signals into individual, independent brain networks facilitated to better visualize significant decreases in gamma power by tPBM. Many similarities were found between the cortical locations of SVD-revealed EEG networks and fMRI-identified resting-state networks. This consistency may shed light on mechanistic associations between tPBM-modulated brain networks and improved cognition outcomes. (shrink)

It has been proposed that processing sentential negation recruits the neural network of inhibitory control. In addition, inhibition mechanisms also play a role in switching languages for bilinguals. Since both processes may share inhibitory resources, the current study explored for the first time whether and how language-switching influences the processing of negation. To this end, two groups of Spanish-English bilinguals participated in an encoding-verification memory task. They read short stories involving the same two protagonists, referring to their activities in four (...) different scenarios in Spanish or English. Following each story, the participants received verification questions requiring “yes” or “no” responses depending on whether a given fact was correctly referred to one of the protagonists. Some of the verification questions were in the story’s original language and others in the alternate language. Results revealed that language-switching facilitated negative responses compared to affirmative responses, exclusively for questions switching from dominant language to non-dominant language. This effect might reflect that the domain-general mechanisms of inhibitory control are recruited at least partially for both language switch and negation process simultaneously, although this phenomenon is modulated by language dominance. (shrink)

本书以认识的主体性为研究对象,对哲学史上的认识的主体性思想、自然科学家的认识的主体性思想、认识的主体性原理、认识的主体性的微观机制、认识的主体性的宏观根源、研究认识的主体性的意义等问题作了专题的研究。 .

本书对实践的主体性的一些相关问题作了比较系统的研究,着重发掘和整理了马克思主义哲学关于实践的主体性的思想。.

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 are three main problems in track fastener defect detection based on image: The number of abnormal fastener pictures is scarce, and supervised learning detection model is difficult to establish. The potential data features obtained by different feature extraction methods are different. Some methods focus on edge features, and some methods focus on texture features. Different features have different detection capabilities, and these features are not effectively fused and utilized. The detection of the track fastener clip will be interfered by (...) the track fastener bolt subimage. Aiming at the above three problems, a method for track fastener defects detection based on Local Deep Feature Fusion Network is proposed. Firstly, the track fastener image segmentation method is used to obtain the track fastener clip subimage, which can effectively reduce the interference of bolt subimage features on the track fastener clip detection. Secondly, the edge features and texture features of track fastener clip subimages are extracted by Autoencoder and Restricted Boltzmann Machine, and the features are fused. Finally, the similarity measurement method Mahalanobis Distance is used to detect defects in track fasteners. The effectiveness of the proposed method is verified by real Pandrol track fastener images. (shrink)

[v. 1]. Gu dai juan -- [v. 2-3]. Jin dai juan -- [v. 4]. Xian dai juan.

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)

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)

It is widely agreed that reactive attitudes play a central role in our practices concerned with holding people responsible. However, it remains controversial which emotional attitudes count as reactive attitudes such that they are eligible for this central role. Specifically, though theorists near universally agree that guilt is a reactive attitude, they are much more hesitant on whether to also include shame. This paper presents novel arguments for the view that shame is a reactive attitude. The arguments also support the (...) view that shame is a reactive attitude in the sense that concerns moral accountability. The discussion thereby challenges both the view that shame is not a reactive attitude at all, suggested by philosophers such as R. Jay Wallace and Stephen Darwall, and the view that shame is a reactive attitude but does not concern moral accountability, recently defended by Andreas Carlsson and Douglas Portmore. (shrink)

Modal primitivists hold that some modal truths are primitively true. They thus seem to face a special epistemological problem: how can primitive modal truths be known? The epistemological objection has not been adequately developed in the literature. I undertake to develop the objection, and then to argue that the best formulation of the epistemological objection targets all realists about modality, rather than the primitivist alone. Furthermore, the moves available to reductionists in response to the objection are also available to primitivists. (...) I conclude by suggesting that extant theories of the epistemology of modality are not sensitive to the question of primitivism versus reductionism. (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)

Life is ever-changing and unpredictable. Because of drastic changes in our society, numerous people are under pressure from various sources at school, in the workplace, or in their families. People...

An amplitude controllable hyperjerk system is constructed for chaos producing by introducing a nonlinear factor of memristor. In this case, the amplitude control is realized from a single coefficient in the memristor. The hyperjerk system has a line of equilibria and also shows extreme multistability indicated by the initial value-associated bifurcation diagram. FPGA-based circuit realization is also given for physical verification. Finally, the proposed memristive hyperjerk system is successfully predicted with artificial neural networks for AI based engineering applications.

We extend research on the effects of local audit office characteristics on audit quality by investigating whether audit offices in highly religious U.S. Metropolitan Statistical Areas exhibit going concern decisions that reflect heightened professional skepticism relative to audit offices in less religious MSAs. Prior research links religiosity to risk aversion and ethical development and suggests audit practice offices in more religious MSAs are more likely to issue going concern opinions because they will assess the effects of mitigating factors in a (...) more skeptical manner. Our results indicate that audit practice offices located in highly religious MSAs are more likely to issue going concern audit opinions, consistent with a more skeptical assessment of mitigating factors. Additional tests provide direct evidence consistent with the argument that these audit offices are more risk averse in issuing going concern opinions. Our findings are relevant to auditors, audit clients, researchers, and regulators. (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)

Radical scepticism contends that our knowledge of the external world is impossible. Particularly, radical scepticism can be motivated by the closure principle. Several commentators have noted that a straightforward way to respond to such arguments is via externalist strategies, e.g., Goldman, Greco, Bergmann. However, these externalist strategies are not effective against a slightly weaker form of the argument, a closure principle for rationally grounded knowledge, closureRK.\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${closure}_{RK.}$$\end{document} The sceptical argument, framed around the (...) closureRK\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {closure}_{\mathrm{RK}}$$\end{document} principle, targets rationally grounded knowledge. Although externalist strategies are ineffective against this form of argument, its conclusion can nonetheless be resisted by combining, in a novel way, the resources of Wittgenstein and Davidson. In particular, I argue that the sceptic is assuming an unrestricted way of using the closureRK\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {closure}_{\mathrm{RK}}$$\end{document} principle, which is incorrect. Alternatively, I argue for The Conditionality of Rational Support Thesis, i.e., the thesis that rational support via competent deduction is conditional. In particular, rational support must be provided within an evaluative system in which hinge propositions are presupposed and contentful beliefs are being evaluated. In the end, we can resist the closureRK\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {closure}_{\mathrm{RK }}$$\end{document}-based sceptical argument while retaining the closureRK\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {closure}_{\mathrm{RK}}$$\end{document} principle. (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)