The present study aimed to explore the effect of subliminal priming on team trust and the mechanism through the mediating role of perceived trustworthiness. A total of 144 participants were asked to complete a lexical decision task that was embedded with the “trust” or “suspicion” Chinese words as the subliminal stimuli. Then, they played a public good game and evaluated the perceived trustworthiness of the team. The results of the study showed that subliminal stimuli had a significant effect on team (...) trust [β = –0.99, 95% CI = (−1.64, −0.33)]. Perceived trustworthiness was found to have a significant mediating effect between the priming condition and team trust [β = −0.35, 95% CI = (−0.72, −0.02)]. The current study revealed the underlying mechanism through which subliminal priming techniques influence team trust and informed efforts by altering perceived trustworthiness. (shrink)

Improvements of the happiness of the rural population are an essential sign of the effectiveness of relative poverty governance. In the context of today’s digital economy, assessing the relationship between digital literacy and the subjective happiness of rural low-income groups is of great practicality. Based on data from China Family Panel Studies, the effect of digital literacy on the subjective well-being of rural low-income groups was empirically tested. A significant happiness effect of digital literacy on rural low-income groups was found. (...) Digital literacy promotes the subjective happiness of rural low-income groups through income increase and consumption growth effects. The observed happiness effect is heterogeneous among different characteristic groups, and digital literacy significantly positively impacts the subjective happiness of rural low-income groups. Decomposition of subjective happiness into life satisfaction and job satisfaction shows that digital literacy significantly positively affects the job and life satisfaction of rural low-income groups. This paper demonstrates that digital literacy induces a practical happiness effect. To further strengthen the subjective welfare effect of digital literacy in the construction of digital villages, the government should focus on cultivating digital literacy among low-income groups from the demand side. The construction of digital infrastructure should be actively promoted from the supply side. (shrink)

According to evidentialist views, credence in a proposition p should be proportional to the degree of evidential support that one has in favor of p. However, empirical evidence suggests that our credences are systematically sensitive to practical factors. In this article, I provide a cost–benefit analysis of credences' practical sensitivity. The upshot of this analysis is that credences sensitive to practical factors fare better than practically insensitive ones along several dimensions. All things considered, our credences should be sensitive to practical (...) factors. (shrink)

According to doxastic pragmatism, certain perceived practical factors, such as high stakes and urgency, have systematic effects on normal subjects’ outright beliefs. Upholders of doxastic pragmatism have so far endorsed a particular version of this view, which we may call threshold pragmatism. This view holds that the sensitivity of belief to the relevant practical factors is due to a corresponding sensitivity of the threshold on the degree of credence necessary for outright belief. According to an alternative but yet unrecognised version (...) of doxastic pragmatism, practical factors affect credence rather than the threshold on credence. Let’s call this alternative view credal pragmatism. In this paper, I argue that credal pragmatism is more plausible than threshold pragmatism. I show that the former view better accommodates a cluster of intuitive and empirical data. I conclude by considering the issue of whether our doxastic attitudes’ sensitivity to practical factors can be considered rational, and if yes, in what sense. (shrink)

According to pragmatic encroachment, whether an epistemic attitude towards p has some positive epistemic status (e.g., whether a belief is epistemically rational or justified, or it amounts to knowledge) partially depends on practical factors such as the costs of being wrong or the practical goals of the agent. Pragmatic encroachment comes in many varieties. This survey article provides an overview of different kinds of pragmatic encroachment. It focuses on three dimensions under which kinds of pragmatic encroachment differ: the type of (...) epistemic status affected by practical factors, the type of practical factors affecting the epistemic status, and the type of normative considerations encroaching on the epistemic status. (shrink)

It has been argued recently that knowledge is the norm of practical reasoning. This norm can be formulated as a bi-conditional: it is appropriate to treat p as a reason for acting if and only if you know that p. Other proposals replace knowledge with warranted or justified belief. This paper gives counter-examples of both directions of any such bi-conditional. To the left-to-right direction: scientists can appropriately treat as reasons for action propositions of a theory they believe to be false (...) but good approximations to the truth for present purposes. Cases based on a variant of Pascal’s Wager and actions performed by a skeptic also illustrate the point. To the right-to-left direction: in certain circumstances, it can be unreasonable for a scientist to reason from propositions of a theory she knows to be true. (shrink)

One challenge for moderate invariantists is to explain why we tend to deny knowledge to subjects in high stakes when the target propositions seem to be inappropriate premises for practical reasoning. According to an account suggested by Williamson, our intuitive judgments are erroneous due to an alleged failure to acknowledge the distinction between first-order and higher-order knowledge: the high-stakes subject lacks the latter but possesses the former. In this paper, I provide three objections to Williamson’s account: i) his account delivers (...) counterintuitive verdicts about what it is appropriate for a high-stakes subject to do; ii) the high-stakes subject doesn’t need iterated knowledge in order to be regarded as appropriately relying on the relevant proposition in practical reasoning; iii) Williamson’s account doesn’t provide a good explanation of why the high-stakes subject would be blameworthy if she were relying on the relevant proposition in her practical reasoning. (shrink)

Self-deception is typically considered epistemically irrational, for it involves holding certain doxastic attitudes against strong counter-evidence. Pragmatic encroachment about epistemic rationality says that whether it is epistemically rational to believe, withhold belief or disbelieve something can depend on perceived practical factors of one’s situation. In this paper I argue that some cases of self-deception satisfy what pragmatic encroachment considers sufficient conditions for epistemic rationality. As a result, we face the following dilemma: either we revise the received view about self-deception or (...) we deny pragmatic encroachment on epistemic rationality. I suggest that the dilemma can be solved if we pay close attention to the distinction between ideal and bounded rationality. I argue that the problematic cases fail to meet standards of ideal rationality but exemplify bounded rationality. The solution preserves pragmatic encroachment on bounded rationality, but denies it on ideal rationality. (shrink)

According to an increasingly popular view in epistemology and philosophy of mind, beliefs are sensitive to contextual factors such as practical factors and salient error possibilities. A prominent version of this view, called credal sensitivism, holds that the context-sensitivity of belief is due to the context-sensitivity of degrees of belief or credence. Credal sensitivism comes in two variants: while credence-one sensitivism (COS) holds that maximal confidence (credence one) is necessary for belief, threshold credal sensitivism (TCS) holds that belief consists in (...) having credence above some threshold, where this threshold doesn’t require maximal confidence. In this paper, I argue that COS has difficulties in accounting for three important features about belief: i) the compatibility between believing p and assigning non-zero credence to certain error possibilities that one takes to entail not-p, ii) the fact that outright beliefs can occur in different strengths, and iii) beliefs held by unconscious subjects. I also argue that TCS can easily avoid these problems. Finally, I consider an alleged advantage of COS over TCS in terms of explaining beliefs about lotteries. I argue that lottery cases are rather more problematic for COS than TCS. In conclusion, TCS is the most plausible version of credal sensitivitism. (shrink)

In this entry, we provide an overview of some of the methodological debates surrounding contextualism and consider whether they are, in effect, based on an underlying methodological dispute. We consider three modes of motivation of epistemic contextualism including i) the method of cases, ii) the appeal to linguistic analogies and iii) the appeal to conceptual analogies and functional roles. We also consider the methodological debates about contextualism arising from experimental philosophy. We conclude that i) there is no distinctive methodological doctrine (...) or set of methodological doctrines that is centrally invoked by all epistemic contextualists and ii) the substantive dispute about the truth of contextualism very frequently, although not invariably, reflects an underlying methodological dispute. (shrink)

This paper focuses on a potential problem with Sosa’s theory of default assumption, viz., the alleged incompatibility of this theory with the closure principle. Given the similarity between the notion of default assumption and Wittgenstein’s notion of hinge commitment, I suggest that two influential hinge epistemologies including Wright’s entitlement theory and Pritchard’s non-belief theory provide resources for possible solutions to the problem. I argue that default assumption should be classified as acceptance and hence as a non-doxastic propositional attitude. Sosa’s theory (...) can deal with the apparent incompatibility with the closure principle by adopting the solution of the non-belief theory, while also avoiding problems affecting the latter view. (shrink)

An endomorphism on an algebra \ is said to be strong if it is compatible with every congruence on \; and \ is said to have the strong endomorphism kernel property if every congruence on \, other than the universal congruence, is the kernel of a strong endomorphism on \. Here we characterise the structure of those double MS-algebras that have this property by the way of Priestley duality.

The paper investigates what type of motivation can be given for adopting a knowledge-based decision theory. KBDT seems to have several advantages over competing theories of rationality. It is commonly argued that this theory would naturally fit with the intuitive idea that being rational is doing what we take to be best given what we know, an idea often supported by appeal to ordinary folk appraisals. Moreover, KBDT seems to strike a perfect balance between the problematic extremes of subjectivist and (...) objectivist decision theory. We argue that these alleged advantages do not stand up to a closer scrutiny: KBDT inherits the same kinds of problems as alternative decision theoretic frameworks but doesn’t retain any of the respective advantages. Moreover, differently from other knowledge-action principles advanced in the literature, KBDT cannot fully explain the intuitive connections between knowledge and rational action. We conclude that the most serious challenge for knowledge-based decision theorists is to provide a substantive rationale for the adoption of such a view. (shrink)

When a widely reused ontology appears in a new version which is not compatible with older versions, the ontologies reusing it need to be updated accordingly. Ontobull has been developed to automatically update ontologies with new term IRI(s) and associated metadata to take account of such version changes. To use the Ontobull web interface a user is required to (i) upload one or more ontology OWL source files; (ii) input an ontology term IRI mapping; and (where needed) (iii) provide update (...) settings for ontology headers and XML namespace IDs. Using this information, the backend Ontobull Java program automatically updates the OWL ontology files with desired term IRIs and ontology metadata. The Ontobull subprogram BFOConvert supports the conversion of an ontology that imports a previous version of BFO. A use case is provided to demonstrate the features of Ontobull and BFOConvert. (shrink)

According to the Rational Threshold View, a rational agent believes p if and only if her credence in p is equal to or greater than a certain threshold. One of the most serious challenges for this view is the problem of statistical evidence: statistical evidence is often not sufficient to make an outright belief rational, no matter how probable the target proposition is given such evidence. This indicates that rational belief is not as sensitive to statistical evidence as rational credence. (...) The aim of this paper is twofold. First, we argue that, in addition to playing a decisive role in rationalizing outright belief, non-statistical evidence also plays a preponderant role in rationalizing credence. More precisely, when both types of evidence are present in a context, non-statistical evidence should receive a heavier weight than statistical evidence in determining rational credence. Second, based on this result, we argue that a modified version of the Rational Threshold View can avoid the problem of statistical evidence. We conclude by suggesting a possible explanation of the varying sensitivity to different types of evidence for belief and credence based on the respective aims of these attitudes. (shrink)

Linguistic data are commonly considered a defeasible source of evidence from which it is legitimate to draw philosophical hypotheses and conclusions. Traditionally epistemologists have relied almost exclusively on linguistic data from western languages, with a primary focus on contemporary English. However, in the last two decades there has been an increasing interest in cross-linguistic studies in epistemology. In this entry, we provide a brief overview of cross-linguistic data discussed by contemporary epistemologists and the philosophical debates they have generated.

The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO) project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using it, such as adding semantic expressivity to (...) existing databases, building data entry forms, and enabling interoperability between knowledge resources. OBI covers all phases of the investigation process, such as planning, execution and reporting. It represents information and material entities that participate in these processes, as well as roles and functions. Prior to OBI, it was not possible to use a single internally consistent resource that could be applied to multiple types of experiments for these applications. OBI has made this possible by creating terms for entities involved in biological and medical investigations and by importing parts of other biomedical ontologies such as GO, Chemical Entities of Biological Interest (ChEBI) and Phenotype Attribute and Trait Ontology (PATO) without altering their meaning. OBI is being used in a wide range of projects covering genomics, multi-omics, immunology, and catalogs of services. OBI has also spawned other ontologies (Information Artifact Ontology) and methods for importing parts of ontologies (Minimum information to reference an external ontology term (MIREOT)). The OBI project is an open cross-disciplinary collaborative effort, encompassing multiple research communities from around the globe. To date, OBI has created 2366 classes and 40 relations along with textual and formal definitions. The OBI Consortium maintains a web resource providing details on the people, policies, and issues being addressed in association with OBI. (shrink)

This book examines some possible ethical principles to resolve moral dilemmas involving water. Existing problems in current water management practices are discussed in light of these principles. Transformation of human water ethics has the potential to be far more effective, cheaper and acceptable than some existing means of “regulation”, but transformation of personal and societal ethics need time because the changes to ethical values are slow.

In a gradually more interlinked world, the formation of collaborations with partners is increasingly regarded as an important driver for generating innovation. Although multidimensional proximities are important factors influencing interorganizational coinnovation performance, relevant empirical studies have not reached consistent conclusions. By focusing on organizational dyad and including intraorganizational collaboration network inefficiency as a moderating variable, we explore the effects of multidimensional proximities on interorganizational coinnovation performance. By reference to 5G patent data collected in China between 2011 and 2020, the research (...) results based on the quadratic assignment procedure (QAP) model show that geographical proximity, cognitive proximity, and institutional proximity all improve interorganizational coinnovation performance. (shrink)

Statistics play a critical role in biological and clinical research. To promote logically consistent representation and classification of statistical entities, we have developed the Ontology of Biological and Clinical Statistics (OBCS). OBCS extends the Ontology of Biomedical Investigations (OBI), an OBO Foundry ontology supported by some 20 communities. Currently, OBCS contains 686 terms, including 381 classes imported from OBI and 147 classes specific to OBCS. The goal of this paper is to present OBCS for community critique and to describe a (...) number of use cases designed to illustrate its potential applications. The OBCS project and source code are available at http://obcs.googlecode.com. (shrink)

Statistics play a critical role in biological and clinical research. However, most reports of scientific results in the published literature make it difficult for the reader to reproduce the statistical analyses performed in achieving those results because they provide inadequate documentation of the statistical tests and algorithms applied. The Ontology of Biological and Clinical Statistics (OBCS) is put forward here as a step towards solving this problem. Terms in OBCS, including ‘data collection’, ‘data transformation in statistics’, ‘data visualization’, ‘statistical data (...) analysis’, and ‘drawing a conclusion based on data’, cover the major types of statistical processes used in basic biological research and clinical outcome studies. OBCS is aligned with the Basic Formal Ontology (BFO) and extends the Ontology of Biomedical Investigations (OBI), an OBO (Open Biological and Biomedical Ontologies) Foundry ontology supported by over 20 research communities. We discuss two examples illustrating how the ontology is being applied. In the first (biological) use case, we describe how OBCS was applied to represent the high throughput microarray data analysis of immunological transcriptional profiles in human subjects vaccinated with an influenza vaccine. In the second (clinical outcomes) use case, we applied OBCS to represent the processing of electronic health care data to determine the associations between hospital staffing levels and patient mortality. Our case studies were designed to show how OBCS can be used for the consistent representation of statistical analysis pipelines under two different research paradigms. By representing statistics-related terms and their relations in a rigorous fashion, OBCS facilitates standard data analysis and integration, and supports reproducible biological and clinical research. (shrink)

This article intends to briefly discuss the relevant knowledge and experience of cognitive science research, and also to seek advice from colleagues in the academic circle and all scholars who are concerned about the development of cognitive science.

This paper puts forward the idea of five levels of human cognition: neural cognition, psychological cognition, linguistic cognition, thinking cognition and cultural cognition. It distinguishes the differences between low-order cognition and high-order cognition. Human cognition, that is, high-order cognition, is based on language and characterized by thinking and culture. The five levels of human cognition are divided according to the scientific standard, which means divided according to the level of cognitive process in human mind. This kind of division is the (...) basis of scientific research, too. The cognition of five levels determines the development of cognitive science, and their cross connection determines the development of more interdisciplinary subjects. This paper discusses in detail the present situation and achievements of research on the cognition of five levels, which helps us see not only the relationship between all levels, but also the relations between scientific research on cognitive science and its discipline development. The classification of five levels has important theoretical significance and practical value. (shrink)

According to the PubMed resource from the U.S. National Library of Medicine, over 750,000 scientific articles have been published in the ~5000 biomedical journals worldwide in the year 2007 alone. The vast majority of these publications include results from hypothesis-driven experimentation in overlapping biomedical research domains. Unfortunately, the sheer volume of information being generated by the biomedical research enterprise has made it virtually impossible for investigators to stay aware of the latest findings in their domain of interest, let alone to (...) be able to assimilate and mine data from related investigations for purposes of meta-analysis. While computers have the potential for assisting investigators in the extraction, management and analysis of these data, information contained in the traditional journal publication is still largely unstructured, free-text descriptions of study design, experimental application and results interpretation, making it difficult for computers to gain access to the content of what is being conveyed without significant manual intervention. In order to circumvent these roadblocks and make the most of the output from the biomedical research enterprise, a variety of related standards in knowledge representation are being developed, proposed and adopted in the biomedical community. In this chapter, we will explore the current status of efforts to develop minimum information standards for the representation of a biomedical experiment, ontologies composed of shared vocabularies assembled into subsumption hierarchical structures, and extensible relational data models that link the information components together in a machine-readable and human-useable framework for data mining purposes. (shrink)

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

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Biological ontologies are used to organize, curate, and interpret the vast quantities of data arising from biological experiments. While this works well when using a single ontology, integrating multiple ontologies can be problematic, as they are developed independently, which can lead to incompatibilities. The Open Biological and Biomedical Ontologies Foundry was created to address this by facilitating the development, harmonization, application, and sharing of ontologies, guided by a set of overarching principles. One challenge in reaching these goals was that the (...) OBO principles were not originally encoded in a precise fashion, and interpretation was subjective. Here we show how we have addressed this by formally encoding the OBO principles as operational rules and implementing a suite of automated validation checks and a dashboard for objectively evaluating each ontology’s compliance with each principle. This entailed a substantial effort to curate metadata across all ontologies and to coordinate with individual stakeholders. We have applied these checks across the full OBO suite of ontologies, revealing areas where individual ontologies require changes to conform to our principles. Our work demonstrates how a sizable federated community can be organized and evaluated on objective criteria that help improve overall quality and interoperability, which is vital for the sustenance of the OBO project and towards the overall goals of making data FAIR. Competing Interest StatementThe authors have declared no competing interest. (shrink)

Host-microbiome interactions (HMIs) are critical for the modulation of biological processes and are associated with several diseases, and extensive HMI studies have generated large amounts of data. We propose that the logical representation of the knowledge derived from these data and the standardized representation of experimental variables and processes can foster integration of data and reproducibility of experiments and thereby further HMI knowledge discovery. A community-based Ontology of Host-Microbiome Interactions (OHMI) was developed following the OBO Foundry principles. OHMI leverages established (...) ontologies to create logically structured representations of microbiomes, microbial taxonomy, host species, host anatomical entities, and HMIs under different conditions and associated study protocols and types of data analysis and experimental results. (shrink)

This study, by using 142 groups of data from 1990 to 2007 and the method of cross-temporal meta-analysis, researched the changing trend of status of mental health of 108736 members of the Chinese Army along with the change of years. All the data came from 94 related research reports, and all the research reports used SCL-90 (the Symptom Checklist 90) as the testing tool of mental health. The study found that: (1) mental health of members of the Chinese Army steadily (...) improved between 1990 and 2007; (2) during those 18 years, the Interpersonal Sensitivity factor of SCL-90 of Chinese Army members changed most significantly, and the least significantly changed factor was Somatization; (3) Chinese Army members showed evidence of fewest problems on the Photic Anxiety factor, in contrast to the consistent problems indicated by scores on the Obsessive-Compulsive and Interpersonal Sensitivity scales; (4) Chinese Army members from single-child families (N =1,944) showed significant lower evidence of positive mental health than soldiers from multiple child families (N =2,649); (5) The mental health of soldiers from non-agricultural backgrounds (N =7,808) was less positive than that of soldiers from agricultural households(N =11,459); (6) Chinese Army members with senior high school education level (N = 10,189) had less positive mental health than those with junior high school (N = 8,407) or university education (N = 863). (shrink)

The translational research community, in general, and the Clinical and Translational Science Awards (CTSA) community, in particular, share the vision of repurposing EHRs for research that will improve the quality of clinical practice. Many members of these communities are also aware that electronic health records (EHRs) suffer limitations of data becoming poorly structured, biased, and unusable out of original context. This creates obstacles to the continuity of care, utility, quality improvement, and translational research. Analogous limitations to sharing objective data in (...) other areas of the natural sciences have been successfully overcome by developing and using common ontologies. This White Paper presents the authors’ rationale for the use of ontologies with computable semantics for the improvement of clinical data quality and EHR usability formulated for researchers with a stake in clinical and translational science and who are advocates for the use of information technology in medicine but at the same time are concerned by current major shortfalls. This White Paper outlines pitfalls, opportunities, and solutions and recommends increased investment in research and development of ontologies with computable semantics for a new generation of EHRs. (shrink)

Cải tiến phương pháp lượng giá tài nguyên và di sản sử dụng nguyên lý bán dẫn giá trị và hệ xử lý thông tin SM3D. Lý thuyết sử dụng trong bài: • Total economic value (Adger et al., 1995) • Mindsponge theory (Quan-Hoang Vuong, 2023) và khung ra quyết định mindspongeconomics (Khuc, 2022) • Tháp văn hóa (Khuc, 2023) • Lý thuyết nguyên lý bán dẫn giá trị (Q.-H. Vuong, 2021) • Hệ xử lý thông tin (lý thuyết quản (...) trị tri thức) SM3D (Nguyen, 2023; Q. H. Vuong et al., 2022) . (shrink)

Thuật ngữ "sự thông thái" hay "trí tuệ" thường được sử dụng và truyền đạt qua các thế hệ như một hình thức thể hiện cơ sở hiểu biết chung về cách thức sống, được tích lũy và kế thừa từ một nền văn hóa sang nền văn hóa khác. Có trí tuệ hay trở nên thông thái là khao khát của nhiều người bởi lẽ nó không chỉ biểu hiện của sự thông minh, mà còn liên quan đến khả (...) năng hiểu biết, sự linh hoạt trong tư duy, và khả năng thích ứng với môi trường xã hội. Khả năng lắng nghe, sẵn sàng học hỏi từ người khác và khả năng cân nhắc kỹ lưỡng về những hậu quả ngắn hạn hay lâu dài là những phẩm chất quan trọng của một người có trí tuệ và khôn ngoan. (shrink)

Thức ăn đóng vai trò cực kỳ quan trọng trong cuộc sống. Nó không chỉ cung cấp năng lượng và chất dinh dưỡng cho sự sống và phát triển của con người, mà đôi khi nó còn là hình thức để con người đạt thỏa mãn các nhu cầu văn hóa và xã hội. Việc dân số toàn cầu đang gia tăng nhanh chóng qua từng năm, thức ăn lại ngày càng trở nên quan trọng để đảm bảo an ninh (...) lương thực. Tuy nhiên, các hoạt động nông nghiệp và sử dụng đất đai cho sản xuất thực phẩm là một trong những nguồn phát thải nhà kính chính, góp phần làm biến đổi khí hậu. (shrink)

Xóm Bến 10-6-2023 -/- Cải tiến chất lượng và quá trình peer review (bình duyệt) nhằm tăng độ tin cậy kết quả khoa học và giảm bớt gánh nặng (chi phí hoặc thời gian, công sức) là chuyện dài tập. Bàn mãi không hết. Những ý kiến như Alberts et al. đã đủ nói lên mức độ cấp bách, từ 2008 rồi.

Đánh thức lương tri khi đối diện với cái đói quả thật nan giải.

TS Vương Quân Hoàng (Đại học Thành Tây, Hà Nội và ULB, Bỉ) đề xuất trên Scientific Data Updates việc kết hợp bộ ba yếu tố dữ liệu mở, phản biện mở và đối thoại cộng đồng mở như một giải pháp đáp ứng đòi hỏi của xã hội đối với độ tin cậy của các kết quả nghiên cứu.

Bài viết tập trung vào những nội dung sau: 1. Tình hình phân phối, lưu thông của Việt Nam những năm đầu sau ngày giải phóng miền Nam, thống nhất đất nước 2. Quyết định làm cho sản xuất "bung ra" của Đảng Cộng sản Việt Nam 3. Các bước cải tiến phân phối, lưu thông.

TTCT - Những đứa trẻ thuộc thế hệ Alpha (sinh từ năm 2011-2025) khi vừa chào đời đã được bủa vây bởi công nghệ. Chính vì thế, nhu cầu về ứng dụng công nghệ trong học tập không chỉ dừng lại ở công cụ lưu trữ, giao tiếp thông thường, mà trở nên bao trùm và ranh giới giữa học tập, giải trí và việc thể hiện lối sống bị xóa nhòa.

Bạn hãy thử hình dung một bức tranh thể hiện hình ảnh một thương gia cưỡi một chú lạc đà, dưới chân là cát nóng bỏng của sa mạc khô cằn, phía sau lưng là mặt trời bỏng rát, hai bên đường chỉ có xương rồng gai góc, như biểu trưng cho hành trình vất vả đầy chông gai. Một điều gây bất ngờ: chú lạc đà lại kéo theo một chiếc xe hơi sang trọng.

Ngay khi nước nhà mới giành được độc lập, Chủ tịch Hồ Chí Minh đã khẳng định với giới công thương kỹ nghệ Việt Nam: “Nền kinh tế quốc dân thịnh vượng nghĩa là các sự kinh doanh của các nhà công nghiệp, thương nghiệp thịnh vượng”.

Cải cách tiền lương là một trong những nội dung quan trọng sẽ được thảo luận tại Kỳ họp thứ 6, Quốc hội khóa XV và đây cũng là một trong những chìa khoá để mở ra các chính sách đãi ngộ nhằm góp phần xây dựng, phát triển đội ngũ trí thức nước nhà, đáp ứng yêu cầu phát triển đất nước nhanh và bền vững trong giai đoạn mới như nội dung mà Hội nghị Trung ương 8 khoá (...) XIII, Ban Chấp hành Trung ương Đảng đã thảo luận. (shrink)

Conversational Artificial Intelligence (CAI) systems (also known as AI “chatbots”) are among the most promising examples of the use of technology in mental health care. With already millions of users worldwide, CAI is likely to change the landscape of psychological help. Most researchers agree that existing CAIs are not “digital therapists” and using them is not a substitute for psychotherapy delivered by a human. But if they are not therapists, what are they, and what role can they play in mental (...) health care? To answer these questions, we appeal to two well-established and widely discussed concepts: cognitive and affective artifacts. Cognitive artifacts are artificial devices contributing functionally to the performance of a cognitive task. Affective artifacts are objects which have the capacity to alter subjects’ affective state. We argue that therapeutic CAIs are a kind of cognitive-affective artifacts which contribute to positive therapeutic change by (i) simulating a (quasi-)therapeutic interaction, (ii) supporting the performance of cognitive tasks, and (iii) altering the affective condition of their users. This sheds new light on why virtually all existing mental health CAIs implement principles and techniques of Cognitive Behavioral Therapy — a therapeutic orientation according to which affective change and, ultimately, positive therapeutic change is mediated by cognitive change. Simultaneously, it allows us to conceptualize better the potential and limitations of applying these technologies in therapy. (shrink)

In a recent study by Cai et al. about water shortages in Beijing-Tianjin-Hebei urban areas, virtual water has become the central concept of the groundwater security strategy by suggesting increasing imports of water-intensive agricultural products instead of utilizing the depleted groundwater resources for production. However, despite reviewing the content, we could not see how the authors discussed the households’ economic and financial issues from both production and consumption perspectives.

According to the so-called strong variant of Composition as Identity (CAI), the Principle of Indiscernibility of Identicals can be extended to composition, by resorting to broadly Fregean relativizations of cardinality ascriptions. In this paper we analyze various ways in which this relativization could be achieved. According to one broad variety of relativization, cardinality ascriptions are about objects, while concepts occupy an additional argument place. It should be possible to paraphrase the cardinality ascriptions in plural logic and, as a consequence, relative (...) counting requires the relativization either of quantifiers, or of identity, or of the is one of relation. However, some of these relativizations do not deliver the expected results, and others rely on problematic assumptions. In another broad variety of relativization, cardinality ascriptions are about concepts or sets. The most promising development of this approach is prima facie connected with a violation of the so-called Coreferentiality Constraint, according to which an identity statement is true only if its terms have the same referent. Moreover - even provided that the problem with coreferentiality can be fixed - the resulting analysis of cardinality ascriptions meets several difficulties. (shrink)

In their thought-provoking article, Sedlakova and Trachsel (2023) defend the view that the status—both epistemic and ethical—of Conversational Artificial Intelligence (CAI) used in psychotherapy is complicated. While therapeutic CAI seems to be more than a mere tool implementing particular therapeutic techniques, it falls short of being a “digital therapist.” One of the main arguments supporting the latter claim is that even though “the interaction with CAI happens in the course of conversation… the conversation is profoundly different from a conversation with (...) a human therapist” (Sedlakova and Trachsel 2023, 8). In particular, unlike a human therapist, CAI cannot help its users gain new insight and self-understanding (Sedlakova and Trachsel 2023). We agree that currently available therapeutic CAI cannot be considered a “digital therapist,” however, we think that the issue surrounding the acquisition of new self-understanding in the interaction with therapeutic CAI is more complicated than Sedlakova and Trachsel suggest. (shrink)

Implicit stochastic models, including both ‘deep neural networks’ (dNNs) and the more recent unsupervised foundational models, cannot be explained. That is, it cannot be determined how they work, because the interactions of the millions or billions of terms that are contained in their equations cannot be captured in the form of a causal model. Because users of stochastic AI systems would like to understand how they operate in order to be able to use them safely and reliably, there has emerged (...) a new field called ‘explainable AI’ (XAI). When we examine the XAI literature, however, it becomes apparent that its protagonists have redefined the term ‘explanation’ to mean something else, namely: ‘interpretation’. Interpretations are indeed sometimes possible, but we show that they give at best only a subjective understanding of how a model works. We propose an alternative to XAI, namely certified AI (CAI), and describe how an AI can be specified, realized, and tested in order to become certified. The resulting approach combines ontologies and formal logic with statistical learning to obtain reliable AI systems which can be safely used in technical applications. (shrink)

Growing demand for broadly accessible mental health care, together with the rapid development of new technologies, trigger discussions about the feasibility of psychotherapeutic interventions based on interactions with Conversational Artificial Intelligence (CAI). Many authors argue that while currently available CAI can be a useful supplement for human-delivered psychotherapy, it is not yet capable of delivering fully fledged psychotherapy on its own. The goal of this paper is to investigate what are the most important obstacles on our way to developing CAI (...) systems capable of delivering psychotherapy in the future. To this end, we formulate and discuss three challenges central to this quest. Firstly, we might not be able to develop effective AI-based psychotherapy unless we deepen our understanding of what makes human-delivered psychotherapy effective. Secondly, assuming that it requires building a therapeutic relationship, it is not clear whether psychotherapy can be delivered by non-human agents. Thirdly, conducting psychotherapy might be a problem too complicated for narrow AI, i.e., AI proficient in dealing with only relatively simple and well-delineated tasks. If this is the case, we should not expect CAI to be capable of delivering fully-fledged psychotherapy until the so-called “general” or “human-like” AI is developed. While we believe that all these challenges can ultimately be overcome, we think that being mindful of them is crucial to ensure well-balanced and steady progress on our path to AI-based psychotherapy. (shrink)