Working memory (WM) is a fundamental cognitive ability to support complex thought, but it is limited in capacity. WM training has shown the potential to make benefit for those in need. Many studies have shown the potential of transcranial direct current stimulation (tDCS) to transiently enhance WM performance by delivering low current to the brain cortex of interest via electrodes on the scalp. TDCS has also been revealed as a promising intervention to augment WM training in a few studies. However, (...) those few tDCS-paired WM training studies focused more on the effect of tDCS on WM enhancement and its transferability after training but paid less attention to the variation of cognitive performance during the training procedure. The current study attempted to explore the effect of tDCS on the variation of performance during WM training in healthy young adults. All the participant received WM training with the load-adaptive verbal N-back task for five days. During the training procedure, active/sham anodal high-definition tDCS (HD-tDCS) was used to stimulate the left dorsolateral prefrontal cortex (DLPFC). To examine the training effect, pre- and post-test were performed respectively one-day before and after the training sessions respectively. At the beginning of each training session, stable-load WM tasks were performed to examine the performance variation during training. Compared to the sham stimulation, higher learning rates of performance metrics during the training procedure were found when WM training was combined with active anodal HD-tDCS. The performance improvements (post-pre) of the active group were also found to be higher than those of sham group and were transferred to a similar untrained WM task. Further analysis revealed that the negative relation between the training improvements and baseline performance. These findings show the potential that tDCS may be leveraged as an intervention to facilitate WM training for those in need of higher WM ability. (shrink)

BackgroundTemporal interference (TI) stimulation is a novel technique that enables the non-invasive modulation of deep brain regions. However, the implementation of this technology in humans has not been well-characterized or examined, including its safety and feasibility.ObjectiveWe aimed to examine the feasibility, safety, and blinding of using TI on human participants in this pilot study.Materials and methodsIn a randomized, single-blinded, and sham-controlled pilot study, healthy young participants were randomly divided into four groups [TI and transcranial alternating current stimulation (tACS) targeting the (...) right frontoparietal region, TI-sham, and tACS-sham]. Each participant was asked to complete N-back (N = 1 to 3) tasks before, during, and after one session of stimulation to assess their working memory (WM). The side effects and blinding efficacy were carefully assessed. The accuracy, reaction time (RT), and inverse efficiency score (IES, reaction time/accuracy) of the N-back tasks were measured.ResultsNo severe side effects were reported. Only mild-to-moderate side effects were observed in those who received TI, which was similar to those observed in participants receiving tACS. The blinding efficacy was excellent, and there was no correlation between the severity of the reported side effects and the predicted type of stimulation that the participants received. WM appeared to be only marginally improved by TI compared to tACS-sham, and this improvement was only observed under high-load cognitive tasks. WM seemed to have improved a little in the TI-sham group. However, it was not observed significant differences between TI and TI-sham or TI and tACS in all N-back tests.ConclusionOur pilot study suggests that TI is a promising technique that can be safely implemented in human participants. Studies are warranted to confirm the findings of this study and to further examine the effects of TI-sham stimulation as well as the effects of TI on deeper brain regions. (shrink)

Traditional spatial enabled grammars lack flexibility in specifying the spatial semantics of graphs. This paper describes a new graph grammar formalism called the multigranularity Coordinate Graph Grammar (mgCGG) for spatial graphs. Based on the Coordinate Graph Grammar (CGG), the mgCGG divides coordinates into two categories, physical coordinates and grammatical coordinates, where physical coordinates are the common coordinates in the real world, and grammatical coordinates describe the restrictions on the spatial semantics. In the derivation and reduction of the mgCGG, the spatial (...) matching conditions between nodes are evaluated on the basis of the grammatical coordinates, which can be obtained by the specified granularities. By adjusting the granularities, both qualitative and quantitative analyses for spatial semantics can be obtained, including the transition states between them. In addition, a new redex searching algorithm with polynomial time complexity is designed for the mgCGG. A running example of drawing a flowchart is given to illustrate a practical application of the mgCGG. Through a detailed comparison with related spatial-enabled grammars, it is found that the mgCGG has good performance in four critical aspects—the semantics processing mechanism, fault-tolerance, redex searching algorithm, and practical application—providing a flexible yet uniform way to specify spatial graphs and building a bridge between nonspatial and spatial grammars. (shrink)

At present, although artificial intelligence (AI) has made great progress in the aspects of control policy and operation, there is still no unified ethical decision mode, laws and regulations in ethical dilemma, which seriously affect application and development of artificial intelligence. Therefore, this paper studies and analyzes various ethical decision mode of AI system, then the current research status and advantages, deficiencies of these decision modes are analyzed and summarized. According to the characteristics of the current ethical decision modes and (...) existing problems, the future implementation mode for the future ethical decision of artificial intelligence is explored and discussed. A hierarchical hybrid ethical decision mode will be proposed and designed, which has the advantages of the existing ethical decision modes. In addition, it will provide a few references for research, design and formulation of laws, regulations of AI. (shrink)

Background Professional ethics is the regulation and discipline of nurses’ daily nursing work. Nurses often encounter various ethical challenges and problems in their clinical work, but there are few studies on nurses' adherence to professional ethics. Research Aim An analysis of nursing adherence to nursing ethics from the perspective of clinical nurses in the Chinese public health system. Research Design This study adopts the grounded theory approach proposed by Strauss and Corbin. Participants and research context Between July 2021 and January (...) 2022, Clinical nurses were recruited for online video interviews using purposive and theoretical sampling methods in seven hospitals in Beijing, Tianjin, Shanxi, Henan, Guangdong, and Fujian, China. Data analysis was conducted using Strauss and Corbin’s coding approach. Ethical considerations This study was approved by the Ethics Committee of Sanming First Hospital (MingYiLun 71/2021) Findings A total of 27 participants were included. A theoretical model of nursing staff adherence to professional ethics was constructed. The main core was adherence to professional ethics and the other cores were (1) causal conditions: professional ethics code, individual conscience; (2) intervening conditions: personal growth, social support system, matching career compensation, prediction of adverse consequences; (3) action strategies: sticking to professional values, self-regulation, flexible response, post-event improvement; and (4) outcomes: self-harmony, reduced medical disputes. Conclusions This study provides an interpretive understanding of why clinical nurses adhere to professional ethics in China and describes the challenges and issues posed by nurses’ use of strategies to cope with ethical adversity. The findings can be used to develop future complex studies. (shrink)

What is feminist philosophy? A difficult question for feminist scholars in China. Women's studies in the Chinese mainland are characteristically policy‐oriented, geared to practical concerns and moral urgency. Empirical research projects engage many pressing social issues related to the changing situation of women in a rapid marketification of society and commercialization of culture since the post‐1978 reform movement. Here are some examples: migrant female workers and their working conditions in the urban centers; the impact of rural industrialization on women in (...) the countryside: discrimination against women in employment as well as in other aspects of social life; marriage and sexual relations. What follows in this article however, represents an effort to identify and categorize trends in emerging feminist theories. The main questions that might be seen as in one way or another philosophical are located in the historical context of the transformation of Chinese socialism. As we have only very limited access to publications in Hong Kong and Taiwan, to avoid mispresentation we regret that we cannot discuss the feminist work developed in these areas. (shrink)

As a way of human-computer interaction, game-based assessment is more suitable for young children because it is situational, interesting, and effective. National identity is an important factor affecting the overall development of young children and the future development of a country, which has attracted extensive attention from researchers. Nevertheless, the assessment of young children's national identity is still based on traditional evaluation, including questionnaires and interviews, which have the limitations of being inaccurate, dull, and time-consuming. To understand the characteristics of (...) children's national identity, it is necessary to use scientific and interactive assessment methods. The present study investigated whether the game-based assessment we developed specifically would be an appropriate tool to measure young children's national identity. The results show that the game-based assessment had good item discrimination. Exploratory factor analysis demonstrated the game covered three aspects: national cognition mastery, national emotion engagement, and national behavior tendency. The confirmatory factor analysis suggested that the model with three factors fit the data well. The internal consistency, the split-half reliability, and the test-retest reliability meet standards. Overall, the results indicated that this game can be successfully used to assess young children's national identity with acceptable validity and reliability. Our study provides strong evidence for the use of human-computer interaction in child measurement. These findings are the first to demonstrate the promise of game-based assessment in assessing children's national identity reliably and effectively. (shrink)

The current study aimed to investigate differences in theory of mind between left-behind children and non-left-behind children in rural China and to examine the potential protective role of general reasoning ability in left-behind children’s theory of mind. Participants included 213 children aged 7.10 to 13.67 years (111 boys and 102 girls, M = 10.51 years, SD = 1.33), 101 of whom were left behind in rural areas by one or both migrating parents for at least 6 months. The Strange Stories (...) task, a second-order false belief task and a faux pas task were used to measure children’s theory of mind, and Sessions B and C in Raven’s Standard Progressive Matrices were used to test children’s general reasoning ability. The results showed that left-behind children scored lower on both the faux pas task and Strange Stories task. Additionally, on second-order false belief understanding, left-behind boys performed worse than non-left-behind boys, while left-behind girls scored higher than non-left behind girls. Moreover, children’s general reasoning ability moderated the relationship between parental migrant status and children’s faux pas understanding: For children with high levels of general reasoning ability, left-behind children performed similarly to non-left-behind children, while for children with low levels of general reasoning ability, left-behind children scored lower than non-left-behind children, indicating that general reasoning ability buffered the negative effect of being left behind on children’s theory of mind development. The implications of these findings for training directed at left-behind children are discussed. (shrink)

Marxist value standpoint taking the value of working classes as more important and higher than universal human value has already been proved wrong by the antihuman practice led by the standpoint in the 20th century. Though the disastrous historical reality was definitely beyond or not the expectation of Marxism founders, the practice is logically necessary result of the unavoidable historical limitation and theory mistake of Marxism. In their early years, both Karl Marx and Friedrich Engels held the criterion of the (...) universal human value such as freedom, democracy, equality and fraternity. However, decided or required by the spacetime concrete circumstance, they had to concretize the ideal of ‘human liberation’ into the aim of ‘the liberation of proletariat’. According to such the three principles: social existence decides social consciousness, there is no common human nature in a society in which people belong to the different classes, and productive forces is the final motive power and cause of social development, historical materialism demonstrates the supreme position of the value of working classes. These arguments are not persuasive in theory. Marxism itself has to take the universal human value as moral criterion against capitalism. Historical materialism has the problem of inherent reductionism in its epistemic methodology. Also, Marxism commits the obvious simple mistake to negate generality with specialty in expounding no common human nature existing in a class society. And The Marxism founders were rational arrogance when building their theory system. These are epistemology and psychology factors to form the prejudiced value standpoint. This reflection on the mistake of Marxist value standpoint expects to reach such a common consensus: to accept consciously and further improve and perfect the universal human values that mark the maturity level of today’s human spirit as human’s qualification. (shrink)

Say that an incomplete d.r.e. degree has almost universal cupping property, if it cups all the r.e. degrees not below it to 0′. In this paper, we construct such a degree d, with all the r.e. degrees not cupping d to 0′ bounded by some r.e. degree strictly below d. The construction itself is an interesting 0″′ argument and this new structural property can be used to study final segments of various degree structures in the Ershov hierarchy.

The reconstruction of hominins’ cognitive evolution has always been a crucial but challenging task. Researchers from various disciplines have tried to approach this issue, among which British archaeologist Steven Mithen’s cathedral model is regarded as one of the earliest and most creative attempts. In this model, he proposed that the Neanderthal’s mind is like a cathedral with disconnected chapels. Specifically, Neanderthals possessed advanced social, natural history, technical, and even linguistic intelligence modules, but the first three modules are isolated from each (...) other, meaning they cannot effectively use the knowledge from one domain to address the issue of another domain. This article challenges his reconstruction of Neanderthals’ cognitive capacities by presenting multiple forms of archaeological evidence bearing on various kinds of cross-domain thinking that has arisen over the past two decades. (shrink)

Information on age-related differences in affective meanings of words is widely used by researchers to study emotions, word recognition, attention, memory, and text-based sentiment analysis. To date, no Chinese affective norms for older adults are available although Chinese as a spoken language has the largest population in the world. This article presents the first large-scale age-related affective norms for 2,061 four-character Chinese words (AANC). Each word in this database has rating values in the four dimensions, namely, valence, arousal, dominance, and (...) familiarity. We found that older adults tended to perceive positive words as more arousing and less controllable and evaluate negative words as less arousing and more controllable than younger adults did. This indicates that the positivity effect is reliable for older adults who show a processing bias toward positive vs. negative words. Our AANC database supplies valuable information for researchers to study how emotional characteristics of words influence the cognitive processes and how this influence evolves with age. This age-related difference study on affective norms not only provides a tool for cognitive science, gerontology, and psychology in experimental studies but also serves as a valuable resource for affective analysis in various natural language processing applications. (shrink)

Depression has become one of the most common mental illnesses, and the widespread use of social media provides new ideas for detecting various mental illnesses. The purpose of this study is to use machine learning technology to detect users of depressive patients based on user-shared content and posting behaviors in social media. At present, the existing research mostly uses a single detection method, and the unbalanced class distribution often leads to a low recognition rate. In addition, a large number of (...) irrelevant or redundant features in high-dimensional data sets interfere with the accuracy of recognition. To solve this problem, this paper proposes a hybrid feature selection and stacking ensemble strategy for depression user detection. First, recursive elimination method and extremely randomized trees method are used to calculate feature importance and mutual information value, calculate feature weight vector, and select the optimal feature subset according to the feature weight. Second, naive bayes, k-nearest neighbor, regularized logistic regression and support vector machine are used as base learners, and a simple logistic regression algorithm is used as a combination strategy to build a stacking model. Experimental results show that compared with other machine learning algorithms, the proposed hybrid method, which integrates feature selection and ensemble, has a higher accuracy of 90.27% in identifying online patients. We believe this study will help develop new methods to identify depressed people in social networks, providing guidance for future research. (shrink)

The clustering of mixed-attribute data is a vital and challenging issue. The density peaks clustering algorithm brings us a simple and efficient solution, but it mainly focuses on numerical attribute data clustering and cannot be adaptive. In this paper, we studied the adaptive improvement method of such an algorithm and proposed an adaptive mixed-attribute data clustering method based on density peaks called AMDPC. In this algorithm, we used the unified distance metric of mixed-attribute data to construct the distance matrix, calculated (...) the local density based on K-nearest neighbors, and proposed the automatic determination method of cluster centers based on three inflection points. Experimental results on real University of California-Irvine datasets showed that the proposed AMDPC algorithm could realize adaptive clustering of mixed-attribute data, can automatically obtain the correct number of clusters, and improved the clustering accuracy of all datasets by more than 22.58%, by 24.25%, by 28.03%, by 22.5%, and by 10.12% for the Heart, Cleveland, Credit, Acute, and Adult datasets compared to that of the traditional K-prototype algorithm, respectively. It also outperformed a modified density peaks clustering algorithm for mixed-attribute data algorithms. (shrink)

Mobile health services have been widely used in medical services and health management through mobile devices and multiple channels, such as smartphones, wearable equipment, healthcare applications, and medical platforms. However, the number of the users who are currently receiving the mHealth services is small. In China, more than 70% of internet users have never used mHealth services. Such imbalanced situation could be attributed to users’ traditional concept of medical treatment, psychological factors and privacy concerns. The purpose of this study is (...) to explore the direct and indirect effects of mHealth users’ self-efficacy and privacy concerns on their intention to adopt mHealth services, providing guidelines for mHealth service providers to enhance users’ intention of adoption. A questionnaire was designed by the research team and 386 valid responses were collected from domestic participants in China. Based on the unified theory of acceptance and use of technology model, a research model integrated self-efficacy and privacy concerns was constructed to investigate their effects on users’ intention to adopt mobile mHealth services. The results show that self-efficacy could facilitate users’ intention to adopt mHealth services, and had a significantly positive effect on perceived ubiquity, effort expectancy, performance expectancy and subjective norm. This study verifies the direct and indirect effects of self-efficacy and privacy concerns on users’ intention to adopt mHealth services, providing a different perspective for studying mHealth adoption behavior. The findings could provide guidelines for mHealth service providers to improve their service quality and enhance users’ intention of adoption. (shrink)

This review examines global human genetic resources management, focusing on genetic data policies and repositories in high- and middle-low-income countries. A comprehensive search strategy was employed across multiple databases, including official government websites and Google, to gather relevant literature on human genetic resources management policies and genetic resource databases. Documents were screened for relevance, focusing on high-income countries (United States, United Kingdom, Japan) and middle-low-income countries (China, India, Kenya). Data were extracted, coded, and analyzed to identify common themes and differences (...) in genetic resource management practices. High-income countries benefit from robust legal frameworks and advanced technological infrastructures. The United States enforces the Health Insurance Portability and Accountability Act and the Genetic Information Nondiscrimination Act to protect privacy and facilitate data sharing, while Japan relies on the Act on the Protection of Personal Information and ethical guidelines. Additionally, high-income countries host a variety of genetic databases and biobanks that support scientific research. In contrast, middle-low-income countries like China, India, and Kenya are still developing their frameworks. China has regulations such as the Biosecurity Law and the Regulations on the Management of Human Genetic Resources, but still requires more unified standards. India’s policies focus on genetic research and data protection through the Biological Diversity Act, while Kenya seeks to improve data management through the 2019 Data Protection Act. Significant disparities exist in human genetic resources management between high-income and middle-low-income countries. High-income countries have robust systems balancing privacy protection with research facilitation, supported by comprehensive and large-scale databases for scientific research. Middle-low-income countries need to enhance legal frameworks and build population-specific databases. Promoting equitable data sharing and adopting best practices from high-income countries are essential for advancing global scientific discovery and ensuring fair management of genetic resources. (shrink)

This article develops an approach to modelling and models in science—the hybrid view—that is against model fictionalism of a recent stripe. It further argues that there is a version of fictionalism about models to which my approach is neutral and which makes sense only if one adopts a special sort of antirealism. Otherwise, my approach strongly suggests that one stay away from fictionalism and embrace realism directly.

This paper challenges the apparatus of the knowledge reproduction of the nationalist narrative of historical trauma that leads to the making of exclusive nationalism and unequal citizenship, partic...

We welcome Stibbard-Hawkes's empirical contributions and discussion of interpretive challenges for archaeology, but question some of his characterizations and conclusions. Moving beyond critique, it is time to develop new research methods that eschew simplistic modern/premodern binaries. We advocate an inductive, probabilistic approach using multiple lines of evidence to infer the causes and consequences of behavioral variability across time and space.

Though more connected today than ever before, the Far East and the West are still divided by an issue which first arose more than 400 years ago: the complaint of the West that its ideology has never been fully adopted by China. To provide a useful conceptual framework for a discussion of this intriguing situation, this essay invokes the instructive give-and-take of market exchange on the famed Silk Road in the long ancient past and takes a careful and close look (...) at the analogous enactment of the same principle in the quiet but consequential transplantation of Chinese horticultural and related philosophical ideas to England and continental Europe in the seventeenth and eighteenth centuries and in the initially skeptical but eventually appreciative reception of many Western political and technological ideas in China in the last two centuries. (shrink)

In future decades, food demand for an increased population with elevated standards of living poses a huge challenge, particularly in the sense of the environmental impacts of agricultural systems. We have analyzed agricultural data from the past 50 years, and found that the current agricultural practices will have negative effects on global food production: total agricultural area has decreased since 2000, fertilizer and pesticide consumption increased while their efficiency decreased, and available water sources are already being used for irrigation. Expansion (...) of biofuel production, cultivation limitations of genetically modified organisms, and the trend of increasing living standards will all intensify the risks of a global food crisis in the coming decades. Crop yield and environmental protection will then have to be traded off if there are no feasible solutions at country or regional scales, and it is crucial for agricultural sustainability to increase crop yields and simultaneously decrease environmental impacts of agriculture intensification. (shrink)

This thesis is about the creativity in the East and the West, but I will mainly focus on the view of creativity in ancient Greek philosophy and Chinese philosophy. In the first chapter, I will explore the concept of creativity, the history of creativity, and the research on creativity, including the creativity research in psychology and philosophy, which will set the stage for further disscusion. Then in the second chapter, I will start from Plato’s dialogue, Ion, and explore the traditional (...) theory of creativity in ancient Greek philosophy, and claim that their creative ability is inspired by divine being. After this, I will show people’s view on creativity has undergone a process of demystification. During this process, people gradually began to resist the divine source and explore the world individually and independently. Meanwhile, the meaning of the concept of creativity has become broader, since it is not limited to poem any more, but it can be applied to other fields, such as art, science, and education. In the third chapter, I will turn to the modern creativity theory, including the lateral thinking and emotional creativity, and explore how to be creative with lateral thinking techniques and how to improve creativity through emotion regulation. After the examination in the West, I will turn to the theory of creativity in Chinese philosophy, by focusing on classical works in Daoism and Confucianism. In the fourth chapter, I will explore the view of creativity in philosophy of Daoism. I will claim that the creativity in Daoism is natural and cosmological, and there is no external creative source, so I will claim it is self- creativity, which is distinct from the ancient Western creativity pushed by external divine power. In the fifth chapter, I will argue that the creativity in Confucianism is evolutionary, which is unlike the revolutionary creativity in the West, and I will propose the way to become creative in Confucianism based on its classics, Analects, and then will explore the creativity principle and how the agent cultivate their creative ability in Confucianism. In the conclusion, I will summarize the difference between the creativity in East and West, from the perspective of the source of creativity, nature of creativity. I will claim that the source of creativity in ancient Greek philosophy is divine being, whereas there is no divine source for creativity in Chinese philosophy, therefore, the creativity in the West traditionally is inspired creativity, while the creativity in the East traditionally is natural and cosmological creativity. In addition, the concept of creativity in the West is revolutionary, whereas the concept of creativity in the East is evolutionary and the moral function of creativity is also addressed in Chinese philosophy. (shrink)