The integration of machine learning algorithms into the legal recommendation system marks a burgeoning area of research, with a particular focus on enhancing the accuracy and efficiency of judicial decision-making processes. The application of Bayesian Network (BN) emerges as a potent tool in this context, promising to address the inherent complexities and unique nuances of legal texts and individual case subtleties. However, the challenge of achieving high accuracy in BN parameter learning, especially under conditions of limited data, remains a significant (...) hurdle. This study proposes an Enhanced Maximum Parameter Learning (EMPL) algorithm, tailored for BN parameter optimization in scenarios characterized by small sample sizes. The EMPL algorithm, innovatively incorporating the Synthetic Minority Over-sampling Technique (SMOTE), begins with the formulation of inequality constraints derived from domain expertise. It establishes a minimal dataset threshold necessary for effective parameter learning. Through the introduction of an index weighting factor function that dynamically adjusts according to the sample size, the algorithm facilitates the derivation of refined BN parameters. The core innovation of the EMPL algorithm lies in its use of an exponentially weighted factor function, designed to be responsive to variations in sample size, and its capacity to expand the parameter space using SMOTE to align with qualitative constraints from expert insights. This approach enables the integration of data-derived parameters with those obtained through expert experience in an exponentially weighted manner, culminating in the optimization of BN parameters. Comparative analysis reveals that the EMPL algorithm achieves superior learning accuracy over traditional Maximum Likelihood Estimation (MLE) and qualitative maximum a posteriori (QMAP) approach, particularly in contexts of sparse data. Furthermore, it demonstrates enhanced performance relative to variable weight learning algorithms, underscoring its potential to significantly improve decision-making processes in the legal domain through advanced BN parameter learning. (shrink)

The surface grammar of reports such as ‘I have a pain in my leg’ suggests that pains are objects which are spatially located in parts of the body. We show that the parallel construction is not available in Mandarin. Further, four philosophically important grammatical features of such reports cannot be reproduced. This suggests that arguments and puzzles surrounding such reports may be tracking artefacts of English, rather than philosophically significant features of the world.

A fresh, graceful translation of one of the most important and timeless classics-the foundational work of Daoism-by award-winning novelist Ken Liu, who contextualizes and demystifies this famously enigmatic text. Laozi's Dao De Jing was written around 400 BC by a compassionate soul in a world torn by hatred and ambition, dominated by those that yearned for apocalyptic confrontations and prized ideology over experience. By speaking out against the cleverness of elites and the arrogance of the learned, Laozi upheld the wisdom (...) of the concrete, the humble, the quotidian, the everyday individual dismissed by the great powers of the world. Earthy, playful, and defiant, Laozi's words gave solace to souls back then, and offer comfort today. Now, this beautifully designed new edition serves as both an accessible new translation of an ancient Chinese classic and a fascinating account of renowned novelist Ken Liu's transformative experience while wrestling with the classic text. Throughout this translation, Liu takes us through his own struggles to capture the meaning in Laozi's text in a series of thoughtful and provocative interstitial entries. Unlike traditional notes that purport to be objective, these entries are explicitly personal and unapologetically subjective. Gradually, as Liu learns that true wisdom cannot be pinned down in words, the notes grow sparser until they fade away entirely. His journey suggests the only way out of struggle is to engage with texts that have survived the millennia, wrestling with ideas that gesture at something eternal, in hopes that we might eventually reach that moment of transcendent joy. Liu's translation, by eschewing cleverness, paradoxically reveals the slipperiness of Laozi's original. The Dao De Jing has been translated countless times and will be translated countless times in the future. In that constant change and flow, we finally find our home in Dao, the eternal principle that allows us, finite beings in time and space, to reckon and reconcile with the infinite. (shrink)

Statements not only update our current knowledge, but also have other dynamic effects. In particular, suggestions or commands ?upgrade' our preferences by changing the current order among worlds. We present a complete logic of knowledge update plus preference upgrade that works with dynamic-epistemic-style reduction axioms. This system can model changing obligations, conflicting commands, or ?regret'. We then show how to derive reduction axioms from arbitrary definable relation changes. This style of analysis also has a product update version with preferences between (...) actions, as well as worlds. Some illustrations are presented involving defaults and obligations. We conclude that our dynamic framework is viable, while admitting a further extension to more numerical ?utility update'. (shrink)

Recent studies have revealed that the temporal lobe, a cortical region thought to be in charge of episodic and semantic memory, is involved in creative insight. This work examines the contributions of discrete temporal regions to insight. Activity in the medial temporal regions is indicative of novelty recognition and detection, which is necessary for the formation of novel associations and the “Aha!” experience. The fusiform gyrus mainly affects the formation of gestalt-like representation and perspective taking. The anterior and posterior middle (...) temporal gyri are individually associated with extensive semantic processing and inhibiting salient or routine word associations, which are necessary to form non-salient, novel and remote associations. The anterior and posterior superior temporal gyri are individually responsible for integrating/binding and accessing various types of available conceptual representations. Based on the current knowledge, an integrated model of the temporal lobe's role in insight and some future directions are proposed. (shrink)

BackgroundPatient-centred care and patient autonomy is one of the key factors to better quality of service provision, hence patient outcomes. It enables the development of patients’ trusts which is an important element to a better doctor-patient relationship. Given the increasing number of patient disputes and conflicts between patients and doctors in Chinese public hospital, it is timely to ensure patient-centred care is fully and successfully implemented. However, limited studies have examined the views and practice in different aspects of patient-centred care (...) among doctors in the Chinese public hospitals.MethodsA quantitative approach was adopted by distributing paper-based questionnaires to doctors and patients in two hospitals (Level III and Level II) in Jinan, Shandong province, China.ResultsIn total, 614 doctors from the surgical and internal medicine units of the two hospitals participated in the survey yielding 90% response rates. The study confirmed the inconsistent views among doctors in terms of their perception and practice in various aspects patient-centred care and patient autonomy regardless of the hospital where they work (category II or category III), their unit speciality (surgical or non-surgical), their gender or seniority. The high proportion of doctors (more than 20%) who did not perceive the importance of patient consultation prior to determining diagnostic and treatment procedure is alarming. This in in part due to the belief held by more than half of the doctors that patients were unable to make rational decisions and their involvement in treatment planning process did not necessarily lead to better treatment outcomes.ConclusionThe study calls for the development of system level policy and organisation wide strategies in encouraging and enabling the practice of patient-centred care and patient autonomy with the purposes of improving the quality of the service provided to patients by Chinese hospitals. (shrink)

Due to the novel coronavirus pandemic, the lockdown engendered has had a vicious impact on the global economy. This analysis’ prime intention is to evaluate the impact of the United States’ economic and health crisis as a result of COVID-19 on its financial stability. Additionally, the investigation analyzed the spillover impact of the worldwide economic slowdown experienced by COVID-19 on the United States’ financial volatility. The study applied an autoregressive distributed lag model and discovered that the economic and health crises (...) that occurred in the United States portentously upset the future expectations of its investors. Conspicuously, the health crisis in Spain and Italy were ominous spillovers of the United States’ financial instability in the short-run. Likewise, an economic crisis ensued in the United Kingdom because of COVID-19 causing spillover for the United States markets’ financial instability. The examination evaluated that Asian and African nations’ economic crises perilously affects the United States’ financial stability. The study determined that financial instability occurred in the United States due to its own economic and health crises persisted for a longer period than financial disequilibrium that occurred in other nations. The analysis suggested some strategies of smart lockdown that the government of the United States and other nations should follow to restart the economic cycle through tighter controls to minimize losses by following the steps of preparing a lockdown checklist, monitoring completion of lockdown tasks, and complete a close-down stock take or count. (shrink)

The onset of the Covid-19 pandemic has disrupted the lives of families in the United States and across the world, impacting parent mental health and stress, and in turn, the parent-child relationship. Music is a common parent-child activity and has been found to positively impact relationships, but little is known about music’s role in parent-child interactions during a pandemic. The current study utilized an online questionnaire to assess the use of music in the home of young children and their parents (...) in the United States and Canada during Covid-19 and its relationship with parents’ affective attachment with their child. Musical activity was high for both parents and children. Parents reported using music for both emotion regulation and to socially connect with their children. Parent-child musical engagement was associated with parent-child attachment, controlling for relevant parent variables including parent distress, efficacy, education, and parent-child engagement in non-musical activities. These results indicate that music may be an effective tool for building and maintaining parent-child relationships during a period of uncertainty and change. (shrink)

Artificial intelligence (AI) is increasingly expected to disrupt the ordinary functioning of society. From how we fight wars or govern society, to how we work and play, and from how we create to how we teach and learn, there is almost no field of human activity which is believed to be entirely immune from the impact of this emerging technology. This poses a multifaceted problem when it comes to designing and understanding regulatory responses to AI. This article aims to: (i) (...) defend the need for a novel conceptual model for understanding the systemic legal disruption caused by new technologies such as AI; (ii) to situate this model in relation to preceding debates about the interaction of regulation with new technologies (particularly the ‘cyberlaw’ and ‘robolaw’ debates); and (iii) to set out a detailed model for understanding the legal disruption precipitated by AI, examining both pathways stemming from new affordances that can give rise to a regulatory ‘disruptive moment’, as well as the Legal Development, Displacement or Destruction that can ensue. The article proposes that this model of legal disruption can be broadly generalisable to understanding the legal effects and challenges of other emerging technologies. (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)

Action video game (AVG) has attracted increasing attention from both the public and from researchers. More and more studies found video game training improved a variety of cognitive functions. However, it remains controversial whether healthy adults can benefit from AVG training, and whether young and older adults benefit similarly from AVG training. In the present study, we aimed to quantitatively assess the AVG training effect on the cognitive ability of adults and to compare the training effects on young and older (...) adults by conducting a meta-analysis on previous findings. We systematically searched video game training studies published between January 1986 and July 2015. Twenty studies were included in the present meta-analysis, for a total of 313 participants included in the training group and 323 participants in the control group. The results demonstrate that healthy adults achieve moderate benefit from AVG training in overall cognitive ability and moderate to small benefit in specific cognitive domains. In contrast, young adults gain more benefits from AVG training than older adults in both overall cognition and specific cognitive domains. Age, education, and some methodological factors, such as the session duration, session number, total training duration, and control group type, modulated the training effects. These meta-analytic findings provide evidence that AVG training may serve as an efficient way to improve the cognitive performance of healthy adults. We also discussed several directions for future AVG training studies. (shrink)

While respect for persons is fundamental to many moral and political theories, its nature and ground remain controversial. According to the standard model of respect, respect is primarily a response to certain inherent features of a person or an object. Importantly, it is in virtue of the value, status or authority of those features that respect is justified or owed. This model, however, faces many serious challenges. Drawing on the classical Confucian notion of jing, I develop an alternative model of (...) respect, which construes respect as an expression of agent’s sense of the self and its place in the world. The emphasis is thus on the agent’s own self-conception and the corresponding attitudes and dispositions, as opposed to on inherent features of the objects of respect. To further illustrate this distinction, I contrast the traditional Kantian conception of respect for persons with the Confucian, jing-based, conception along three dimensions: the normative ground, the content, and the distribution of respect. The Kantian respect certainly has its merits, and perhaps is indispensable in some contexts, but there is much more to respect than what Kantians can offer. The Confucian conception of respect, on the other hand, has important theoretical and practical values such that it is essential to an adequate understanding of the role of respect in our moral and political life. (shrink)

In recent years, deep learning as the requirement of higher education for students has attracted the attention of many scholars, and previous studies focused on defining deep learning as the deep processing of knowledge of the brain, however, in the process of knowledge processing, the brain not only involves the deep processing of information but also participates in learning consciously and emotionally. Therefore, this research proposed a four-factor model hypothesis for deep learning that includes deep learning investment, deep cognitive-emotional experience, (...) deep information processing, and deep learning meta-cognitive. In addition, the research proposed teachers’ emotional support perceived by students has an effect on the four factors of deep learning. Through SPSS 26 and AMOS 24, this research has verified the four-factor model of deep learning applying exploratory factor analysis and confirmatory factor analysis and verified that the perceived teacher emotional support has an impact on the four factors of students’ deep learning using the SEM. (shrink)

The green development level reflected in the green finance index and the evaluation of the degree of green development in smart cities have important practical effects on economic transformation. For promoting the transformation and upgrading of finance, we select 2013–2019 data and construct a distributed lag model to analyse the important role played by green finance and financial technology in the construction of smart cities. In the paper, we find green finance promotes the construction of smart cities, and only it (...) will not appear until nine months late. Financial technology has an opposite impact on the construction of smart cities, this is mainly because the research and marketization of financial technology are higher, and the cost is also higher. This influence will appear in the next 14 months. (shrink)

With the increasing attention to climate change, air pollution, and related public health issues, China’s new energy vehicles industry has developed rapidly. However, few studies investigated the evolution of interorganizational collaborative innovation networks in the sector domain of NEVs and the influence of different drivers on the establishment of innovation relationships. In this context, this paper uses the joint invention patent of Shenzhen, a low-carbon pilot city of China, to investigate the dynamics of network influencing factors. The social network analysis (...) shows that the scale of coinvention network of NEVs is constantly increasing, which is featured with diversified cooperative entities, and collaboration depth is also expanding. The empirical results from the Exponential Random Graph Model demonstrate that, with the deepening of collaborative innovation, technological upgrading caused by knowledge exchange makes organizations in the network more inclined to cognitive proximity and less dependent on geographical proximity. In addition, organizational proximity and triadic closure contribute positively to the collaborative network, with their relevance remaining nearly the same, while the impeding effect of cultural/language difference is slightly decreasing with time. (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 rapid worldwide spread of COVID-19 forced many countries to enforce complete lockdown and strict quarantine policies. The strict lockdown and quarantine affect the psychological state of people toward cryptocurrency. The current research aims to examine the effect of COVID-19 on Bitcoin prices concerning cumulative deaths and confirmed cases. The research comprises daily data from January 20, 2020, to April 30, 2020, during the initial worldwide breakout of COVID-19. This research employed the augmented Dickey-Fuller test to check the stationarity of (...) data, the co-integration test for the interdependency of variables, and the vector error correction model for identifying the direction and long or short-run relationship between Bitcoin prices and COVID-19. The research results show that Bitcoin prices are negatively significant and related to COVID-19 in the short-run. A unidirectional relationship between Bitcoin prices and cumulative deaths is also observed. Investors and the public’s psychological state were positively significant to Bitcoin prices in the long-term because of cashless transactions, unbanked, and less risky virus traveling. The second reason behind the positive psychological relation is un-centralization and easy-to-make payments by Bitcoin. This study’s finding provides timely evidence to decision-makers on Bitcoin price volatility and its impacts on the public’s psychological states regarding COVID-19. (shrink)

Status in an organization is considered a significant antecedent to an employee's work-related behaviors. However, the relationship between knowledge workers' informal status and "taking charge" has been ignored in previous human resource management (HRM) research. Based on the self-consistency theory, this study examines the mechanisms underlying the influence of knowledge workers’ informal status on taking charge. Data were collected from 337 dyads of employees and their immediate supervisors in 24 enterprises and companies. Based on moderated mediation analysis, results indicated that (...) knowledge workers’ informal status is positively related to taking charge and organization-based self-esteem (OBSE). OBSE fully mediated the relationship between knowledge workers’ informal status and taking charge, while person-job fit (P-J fit) and person-supervisor fit (P-S fit) each moderated the relationship between knowledge workers’ informal status and OBSE, in addition to the indirect effect of knowledge workers’ informal status on taking charge. Specifically, the indirect effect was strongest when P-J fit or P-S fit was high. The theoretical and managerial implications of the findings, limitations of the study, and future research directions are discussed. (shrink)

Graphical AbstractWhereas clathrin-mediated endocytosis (CME) exists in all eukaryotic cells, we first detect classical dynamin in Ichthyosporid, a single-cell, metazoan precursor. Based on a key functional residue in its pleckstrin homology domain, we speculate that the evolution of metazoan dynamin coincided with the specialized need for regulated CME during neurotransmission.

The logic of the hide and seek game $$\textbf{LHS}$$ was proposed to capture interactions between agents in pursuit-evasion environments. In this paper, we explore a hybrid extension of $$\textbf{LHS}$$ and show that such an extension is beneficial in several aspects. We will show that it improves the technical properties of the resulting logical system, and expands the potential applications of the system. Specifically, we will investigate the expressive power of the hybrid logic of the hide and seek game $${\mathcal {H}}(\textbf{LHS})$$ (...) and its crucial fragment $${\mathcal {H}}(\textbf{LHS}^{-})$$, at both model and frame levels. We will present complete Hilbert-style proof systems for both the logics $${\mathcal {H}}(\textbf{LHS}^{-})$$ and $${\mathcal {H}}(\textbf{LHS})$$, which in fact provides a solution to a known open problem. (shrink)

Understanding the neural basis of schizophrenia (SZ) is important for shedding light on the neurobiological mechanisms underlying this mental disorder. Structural and functional alterations in the anterior cingulate cortex (ACC), dorsolateral prefrontal cortex (DLPFC), hippocampus, and medial prefrontal cortex (MPFC) have been implicated in the neurobiology of SZ. However, the effective connectivity among them in SZ remains unclear. The current study investigated how neuronal pathways involving these regions were affected in first-episode SZ using functional magnetic resonance imaging (fMRI). Forty-nine patients (...) with a first-episode of psychosis and diagnosis of SZ—according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision—were studied. Fifty healthy controls (HCs) were included for comparison. All subjects underwent resting state fMRI. We used spectral dynamic causal modeling (DCM) to estimate directed connections among the bilateral ACC, DLPFC, hippocampus, and MPFC. We characterized the differences using Bayesian parameter averaging (BPA) in addition to classical inference (t-test). In addition to common effective connectivity in these two groups, HCs displayed widespread significant connections predominantly involved in ACC not detected in SZ patients, but SZ showed few connections. Based on BPA results, SZ patients exhibited anterior cingulate cortico-prefrontal-hippocampal hyperconnectivity, as well as ACC-related and hippocampal-dorsolateral prefrontal-medial prefrontal hypoconnectivity. In summary, spectral DCM revealed the pattern of effective connectivity involving ACC in patients with first-episode SZ. This study provides a potential link between SZ and dysfunction of ACC, creating an ideal situation to associate mechanisms behind SZ with aberrant connectivity among these cognition and emotion-related regions. (shrink)

We examine the impact of a government-initiated CSR project on corporate misconduct using the unique setting of China’s Targeted Poverty Alleviation (TPA) program. The difference-in-differences estimates show that firms participating in the TPA program engage in fewer misconduct activities than do their counterparts. This finding is robust to the parallel trends test, the placebo test, alternative regression specifications, alternative research designs, the reverse causality analysis, and the bivariate probit model with partial observability. Further analysis shows that TPA participation enhances the (...) ability of external financial professionals to monitor performance by stimulating the dissemination of TPA-related incremental information, thereby contributing to the decline in corporate misconduct. The cross-sectional heterogeneity analysis shows that the impact of TPA participation on corporate misconduct is more pronounced in firms with higher information asymmetry, with weaker political connections, and with weaker internal governance. Furthermore, we find evidence that TPA participation improves corporate financial performance but does not deteriorate information transparency. (shrink)