Schizophrenia is a serious mental illness characterized by a disconnection between brain regions. Transcranial magnetic stimulation is a non-invasive brain intervention technique that can be used as a new and safe treatment option for patients with schizophrenia with drug-refractory symptoms, such as negative symptoms and cognitive impairment. However, the therapeutic effects of transcranial magnetic stimulation remain unclear and would be investigated using non-invasive tools, such as functional connectivity. A longitudinal design was adopted to investigate the alteration in FC dynamics using (...) a dynamic functional connectivity approach in patients with schizophrenia following high-frequency repeated transcranial magnetic stimulation with the target at the left dorsolateral prefrontal cortex. Two groups of schizophrenia inpatients were recruited. One group received a 4-week high-frequency rTMS together with antipsychotic drugs, while the other group only received antipsychotic drugs. Resting-state functional magnetic resonance imaging and psychiatric symptoms were obtained from the patients with schizophrenia twice at baseline and after 4-week treatment. The dynamics was evaluated using voxel- and region-wise FC temporal variability resulting from fMRI data. The pattern classification technique was used to verify the clinical application value of FC temporal variability. For the voxel-wise FC temporary variability, the repeated measures ANCOVA analysis showed significant treatment × time interaction effects on the FC temporary variability between the left DLPFC and several regions, including the thalamus, cerebellum, precuneus, and precentral gyrus, which are mainly located within the cortico-thalamo-cerebellar circuit. For the ROI-wise FC temporary variability, our results found a significant interaction effect on the FC among CTCC. rTMS intervention led to a reduced FC temporary variability. In addition, higher alteration in FC temporal variability between left DLPFC and right posterior parietal thalamus predicted a higher remission ratio of negative symptom scores, indicating that the decrease of FC temporal variability between the brain regions was associated with the remission of schizophrenia severity. The support vector regression results suggested that the baseline pattern of FC temporary variability between the regions in CTCC could predict the efficacy of high-frequency rTMS intervention on negative symptoms in schizophrenia. These findings confirm the potential relationship between the reduction in whole-brain functional dynamics induced by high-frequency rTMS and the improvement in psychiatric scores, suggesting that high-frequency rTMS affects psychiatric symptoms by coordinating the heterogeneity of activity between the brain regions. Future studies would examine the clinical utility of using functional dynamics patterns between specific brain regions as a biomarker to predict the treatment response of high-frequency rTMS. (shrink)

The economical/environmental scheduling problem of the ship integrated energy system has high computational complexity, which includes more than one optimization objective, various types of constraints, and frequently fluctuated load demand. Therefore, the intelligent scheduling strategies cannot be applied to the ship energy management system online, which has limited computing power and storage space. Aiming at realizing green computing on SEMS, in this paper a typical SIES-EESP optimization model is built, considering the form of decision vectors, the economical/environmental optimization objectives, and (...) various types of real-world constraints of the SIES. Based on the complexity of SIES-EESPs, a two-stage offline-to-online multiobjective optimization strategy for SIES-EESP is proposed, which transfers part of the energy dispatch online computing task to the offline high-performance computer systems. The specific constraints handling methods are designed to reduce both continuous and discrete constraints violations of SIES-EESPs. Then, an establishment method of energy scheduling scheme-base is proposed. By using the big data offline, the economical/environmental scheduling solutions of a typical year can be obtained and stored with more computing resources and operation time on land. Thereafter, a short-term multiobjective offline-to-online optimization approach by SEMS is considered, with the application of multiobjective evolutionary algorithm and typical schemes corresponding to the actual SIES-EESPs. Simulation results show that the proposed strategy can obtain enough feasible Pareto solutions in a shorter time and get well-distributed Pareto sets with better convergence performance, which can well adapt to the features of real-world SIES-EESPs and save plenty of operation time and storage space for the SEMS. (shrink)

In pre-Qin China, during the wrangling of the hundred schools, there was one current of thought that regarded Laozi as its founder and which, as we all know, enjoyed great influence in those days, as well as in all subsequent generations. Throughout history, this school of thought founded by Laozi has been referred to as Daoism, in the same way that the school headed by Confucius has been called Confucianism.

Heidegger maintains that the root of modern technology, like that of all other technologies, lies in technē. However, because the art dimension of technē is suppressed in modern technology, the essence of this technology becomes a Gestell that enforces product-making, and thus drives technology beyond the control of human beings. The more fundamental reason underlying this “frame-becoming” nature is “the mathematical” that emerges in ancient Greece, which, through the Cartesian subject-object dichotomy, turns the world into the images represented by the (...) subject, and things into definite objects. To escape the dictatorship of the Gestell, it is necessary to re-realize the art-dimension of technē in modern technology, i. e. to let the gentle granting nature of the enowning re-master technology. In this respect, both Heidegger and Heisenberg were inspired by or at least resonated with Lao Zi or Zhuang Zi’s Dao. Confucians will greatly appreciate the critique of modern technology by Heidegger, and especially his view of returning “home” to overcome the possible dangers brought about by technology. However, from the perspective of Confucianism, Heidegger’s critique contains some shortcomings: for example, his ignorance of the individualistic impact in the Gestell and his unidirectional “ontological difference,” which leads him to a view of “home” that lacks “family” and therefore renders his solution loose and rootless. Only an organic community originated in the family, be it Confucian or Amish, can effectively reduce the control of modern technology over the human being. (shrink)

[full article, abstract in English; abstract in Lithuanian] Modern revolution as the beginning of founding a new political order has to confront the vicious circle inhered in all beginnings: in so far as it is the beginning, where does its principle come from? Or, if there is no principle, how could the beginning establish one? Set in the context of modern political experience, the aporia is equal to the problem of how modern politics to be self-grounded or how to reestablish (...) political authority in modernity? By an exploration into the relevant writings of Hannah Arendt, the article tries to investigate the vicious circle of beginning and principle in the political realm, and to point out that Arendt has told a story about the mutual generating of beginning and principle, turning the so-called vicious circle into a hermeneutic circle, in which those implicit principles become explicit through the performance of founding actions. (shrink)

In the Original publication of the article the revised date was erroneously published as: 20 August 2017 the correct date is: 20 August 2020.

The peper like tone flowed through thoughts of Taoist, Confucian, Heidegger, Nietzsche, Spinoza, Goethe, Hegel, Marx, Rousseau, Sun Yat‐Sen, Mao Zedong, Deng Xiaoping, Kant, etc.. Not for pursuing a philosophy to combine cultures between Chinese and Western, but for return to the shared Spring of the Truetone. What is the Truetone? says: “God is Spirit.” The spirit of Hebraic is ruagh that means the Truetone of Tao, so it can be also translated as “God is the Truetone.” All things are (...) controlled by both the invisible Truetone and conceittone with different purpose. The Truetone is for the Grace of life, but the conceittone is for destruction. The Truetone made the Spring, the Spring made the Word. The Trinity of the Truetone, Spring, and Word, makes all things. The characteristic of Chinese is invisible tone, the characteristic of Western philosophy is visible word. The paper trys to allow all beings to be released from the conceittone and return to the Grace of Jesus because He is the Spring of the Truetone, and then all persons can get the full graces in different cultures given by the Truetone. (shrink)

In this paper, we simulate the estimation of motion through an interframe difference detection function model and investigate the spatial-temporal context information correlation filtering target tracking algorithm, which is complex and computationally intensive. The basic theory of spatiotemporal context information and correlation filtering is studied to construct a fast target tracking method. The different computational schemes are designed for the flow of multiframe target detection from background removal to noise reduction, to single-frame detection, and finally to multiframe detection, respectively. This (...) enables the ground-based telescope to effectively detect spatial targets in dense stellar backgrounds in both modes. The method is validated by simulations and experiments and can meet the requirements of real projects. The interframe bit attitude estimation is optimized by using the beam-parity method to reduce the interframe estimation noise; a global optimization strategy based on the bit attitude map is used in the back end to reduce the system computation amount and make the global bit attitude estimation more accurate; a loop detection based on the word pocket model is added to the system to reduce the cumulative error. (shrink)

Emotions can influence and regulate learners’ attention, memory, thinking, and other cognitive activities. The similarities and differences between English and non-English majors in terms of English classroom learning engagement were compared, and the significant factors affecting the emotional, cognitive, and behavioral engagement of the two groups of students in the English classroom were different. English majors’ affective engagement in the classroom was not significant, which was largely related to their time and frequency of English learning. Traditional methods of learner emotion (...) recognition suffer from low recognition rate, complex algorithms, poor robustness, and easy to lose key information about facial expression features. The paper proposes a convolutional neural network-based learner emotion recognition method, which includes three convolutional layers, three pooling layers, and one fully connected layer. In the future, the method will can be applied to the construction of smart learning environments, providing technical support for improving learner models, realizing emotional interactions, and mining learning behaviors, etc. (shrink)

This paper explores the internal logic and theoretical basis of the two concepts of "common prosperity" and "community of human destiny" from a philosophical perspective. Common prosperity is one of the core goals of China's social development, reflecting the Marxist philosophical thought on social fairness and justice, while the community of human destiny transcends the boundaries of countries and nations and embodies the collectivist ethics and future vision in the era of globalization. By analyzing the roots of the two in (...) historical materialism, global ethics, Kant's "world citizen" thought and the Confucian ideal of "great harmony", this paper attempts to reveal the philosophical inner connection between common prosperity and the community of human destiny and proposes the necessity of building a social model that combines fairness and global responsibility. This paper believes that the pursuit of common prosperity is not only a national issue, but also a global issue faced by mankind, and the realization of the community of human destiny depends on the philosophical reflection and practical efforts made by countries in the process of achieving common prosperity. Through philosophical discussion, this paper further illustrates the practical significance of these two concepts in today's world and their potential impact on the future global order. (shrink)

Neurons encode and transmit signals through chemical synaptic or electrical synaptic connections in the actual nervous system. Exploring the biophysical properties of coupling channels is of great significance for further understanding the rhythm transitions of neural network electrical activity patterns and preventing neurological diseases. From the perspective of biophysics, the activation of magnetic field coupling is the result of the continuous release and propagation of intracellular and extracellular ions, which is very similar to the activation of chemical synaptic coupling through (...) the continuous release of neurotransmitters. In this article, an induction coil is used to connect two HR neurons to stimulate the effect of magnetic field coupling. It is inevitable that time delays can affect the coupling process in the transmission of information, and it should be considered in the coupled model. Firstly, the firing characteristics and bifurcation modes of two coupled HR neurons are studied by using one parameter and two parameters bifurcation. With the increase of propagation delay and coupling gain, the chaotic state of neurons disappears and the high-period window decreases due to the influence of energy transfer between neurons. Then, the synchronization patterns of two HR neurons with different stimulation are analyzed by error diagrams and time series diagrams. It is confirmed that the synchronous pattern has certain regularity and is related not only to the neurons with large stimulation current but also to the time delay and coupling gain. The research conclusions of this article will provide the corresponding theoretical basis for medical experiments. (shrink)

Extant studies have shown that socially responsible human resource management (SRHRM) brings beneficial effects on employees’ work outcomes. However, little attention has been given to the effect of SRHRM on employee resilience from a balanced perspective. This study draws on conversation of resources theory to examine how and when SRHRM influences employee resilience from a balanced perspective. Using two scenario-based experiments and one multi-wave field study, results show that SRHRM can enhance employee resilience by increasing work meaningfulness, but it can (...) also deplete employee resilience by draining resources. Moreover, organization-set performance goal weakens the positive relationship between SRHRM and employees’ work meaningfulness. Organization-set performance goal also magnifies the positive relationship between SRHRM and employees’ resource depletion. This study presents theoretical and practical implications on how organizations can precisely promote employee resilience. (shrink)

Recent advances in neuroscience indicate that analysis of bio-signals such as rest state electroencephalogram and eye-tracking data can provide more reliable evaluation of children autism spectrum disorder than traditional methods of behavior measurement relying on scales do. However, the effectiveness of the new approaches still lags behind the increasing requirement in clinical or educational practices as the “bio-marker” information carried by the bio-signal of a single-modality is likely insufficient or distorted. This study proposes an approach to joint analysis of EEG (...) and eye-tracking for children ASD evaluation. The approach focuses on deep fusion of the features in two modalities as no explicit correlations between the original bio-signals are available, which also limits the performance of existing methods along this direction. First, the synchronization measures, information entropy, and time-frequency features of the multi-channel EEG are derived. Then a random forest applies to the eye-tracking recordings of the same subjects to single out the most significant features. A graph convolutional network model then naturally fuses the two group of features to differentiate the children with ASD from the typically developed subjects. Experiments have been carried out on the two types of the bio-signals collected from 42 children. The results indicate that the proposed approach can achieve an accuracy of 95% in ASD detection, and strong correlations exist between the two bio-signals collected even asynchronously, in particular the EEG synchronization against the face related/joint attentions in terms of covariance. (shrink)

Fear and concerns regarding AI and robots have existed for a long time, and the emergence of strong artificial intelligence, on par with human intelligence, is likely just a few decades away. The primary purpose of this article is to establish a theoretical framework for navigating the relationship between humans and this advanced form of artificial intelligence. This article first points out that the most fundamental characteristic of life is its continuous process of evolution and iteration. By analyzing the developmental (...) history of intelligence in different species, it can be observed that intelligence also exhibits a similar evolutionary phenomenon. Therefore, from this perspective, intelligence can be defined as a new form of information life. Under this premise, similarities and differences between information life forms and conventional biological life become apparent. The most significant distinction lies in the fact that the survival of biological life is based on non-replicable matter and energy, leading to extensive competition and food chain phenomena within ecosystems. In contrast, the survival of information life relies more on replicable information, fostering tendencies towards peace and communication. Based on this theoretical premise, there is a potential for a harmonious coexistence between humans and AI. This theory also provides guidance for the positive development of human society. (shrink)

As a global public health concern, elder abuse negatively affects health, psychosocial wellbeing, and mortality among elders. Research and practice efforts made to explore effective prevention and intervention strategies are growing. Despite the growing number of intervention studies on elder abuse, research synthesis on the empirical literature seems lacking. This study aims to identify the pooled effect size of prevention and interventions targeted ultimate and intermediate outcomes for elder abuse that occurred in community settings. Following the Cochrane guideline, our team (...) searched across eight electronic databases and manually searched reference lists of eligible studies and existing systematic reviews for all potentially eligible studies. A random-effects model of 51 effect size estimates reported an overall positive and statistically significant treatment effect of psychosocial interventions for elder abuse, d = 0.63, p < 0.05. The overall treatment effect was approaching statistical significance at 0.1 level for ultimate outcomes, d = 0.32, p = 0.09, and intermediate outcomes, d = 0.75, p = 0.1. An overall significant effect size was found among family-based interventions, d = 0.59, p < 0.05, and interventions targeting older adults and their caregivers, d = 0.45, p < 0.05. Existing evidence supports an overall significant effect for psychosocial interventions for elder abuse. Interventions that used a family-based model, combined education and supportive services, and targeted both caregivers and elders, showed significant effect size, suggesting such features being considered in elder abuse intervention design. Future intervention research is needed to shed light on the link between intervention activities and ultimate change in elder abuse behaviors. (shrink)

Idioms are the unity of figurative and formulaic expressions, driving a variety of creative variants used in everyday life. This study explored how Chinese readers made sense of Chinese idioms and their variants, with possible constraints from their strength in overall inhibitory control (OIC). Our new attempt at a comprehensive measure of inhibitory control managed to predict the readers’ self-paced reading behavior in the context of the idioms written in the Chinese ideographic script. Those with poorer OIC were assumed to (...) show more difficulties in inhibiting the literal meaning of a Chinese idiom as the supportive context unfolded. Such constraints from OIC also resurfaced during the comprehension of the Chinese variants employed in this study that were likely treated as novel idioms. We thereby assumed a hybrid route for the comprehension of Chinese idiomatic expressions. Nonetheless, idiom familiarity or decomposability exerted limited influence during these processes. The current study enriches the individual-difference approach to idiom comprehension by further expounding how its account varies with an ideographic writing system characterized by symbolic glyphs. (shrink)

This work explores the importance of similarity-based processes in human everyday reasoning, beyond purely rule-based processes prevalent in AI and cognitive science. A unified framework encompassing both rulebased and similarity-based reasoning may provide explanations for a variety of human reasoning data.

The purpose is to provide researchers with reliable Scientific Research Data from the massive amounts of research data to establish a sustainable Scientific Research environment. Specifically, the present work proposes establishing an Intelligent Recommendation System based on Machine Learning algorithm and SRD. Firstly, the IRS is established over ML technology. Then, based on user Psychology and Collaborative Filtering recommendation algorithm, a hybrid algorithm [namely, Content-Based Recommendation-Collaborative Filtering ] is established to improve the utilization efficiency of SRD and Sustainable Development of (...) SR. Consequently, the present work designs literature and SRD-targeted IRS using the hybrid recommendation under the background of SD. The proposed system’s feasibility is analyzed through experiments. Additionally, the system performance is analyzed and verified from accuracy, diversity, coverage, novelty, and recommendation efficiency. The results show that the hybrid algorithm can make up for the shortcomings of a single algorithm and improve the recommendation efficiency. Experiments show that the accuracy of the proposed CBR-CF algorithm is the highest. In particular, the recommendation accuracy for the single-user system can reach 82–93%, and the recall of all recommended algorithms falls between 60 and 91%. The recall of the hybrid algorithm is higher than that of a single algorithm, and the highest recall is 91%. Meanwhile, the hybrid algorithm has comprehensive coverage, good applicability, and diversity. Therefore, SD-oriented SRD-targeted IRS is of great significance to improve the SRD utilization and the accuracy of IRS, and expand the achievement value of SR. The research content provides a reference for establishing a sustainable SR environment and improving SR efficiency. (shrink)

Many scholars have focused on understanding ways of how to suppress knowledge hiding by employees. Existing studies have demonstrated that mindfulness could effectively inhibit employees’ knowledge hiding. This study aims to investigate the impact of leader–subordinate mindfulness congruence on subordinate knowledge hiding and its internal mechanisms. Based on the role theory, we collected 169 leadership data and 368 employee data at three time-points through collecting questionnaire of matching leaders and subordinates. In addition, we used polynomial regression and response surface analysis (...) to validate our research hypotheses. The results demonstrated that: Compared with the “high leader–high subordinate” mindfulness congruence condition, subordinates in the “low leader–low subordinate” mindfulness congruence condition were more likely to exhibit knowledge hiding. Compared with the “low leader–high subordinate” mindfulness incongruence, subordinates under the “high leader–low subordinate” mindfulness incongruence are more likely to exhibit knowledge hiding. The more incongruent the mindfulness between the leader and the subordinate is, the more likely an employee is to exhibit knowledge hiding. Emotional exhaustion mediated the correlation between leader–subordinate mindfulness congruence and knowledge hiding. When the gender of the leader and the subordinate is different, the impact of mindfulness congruence on the inhibition of emotional exhaustion is stronger. This study provides a new perspective for researching the impact of mindfulness on individual behavior and provides a new idea for the research related to inhibiting knowledge hiding. (shrink)

Entrepreneurship competitions are an important way to implement entrepreneurship education in universities and the main way for many students improve their entrepreneurial competence. To clarify the mechanism of the role of entrepreneurship competition on the entrepreneurial competence of university students, based on data from a sample of 170,764 university students from 31 provinces in China, this study constructs a moderated mediation model that focuses on the mediating role of entrepreneurial spirit in entrepreneurial competition and entrepreneurial competence and the moderating role (...) of entrepreneurial practice. The results showed that ECompetition found to have a significant positive predictive effect on ECompetence. ES plays a mediating role in the relationship between ECompetition and competence. The direct predictive effect of ECompetition on ECompetence and the mediating effect of ES on their relationship is moderated by EP. The results provide a new perspective on the impact of entrepreneurship competition on college students’ entrepreneurial competence and expands the experiential learning theory in entrepreneurship education. (shrink)

Preservice mathematics teachers’ accurate understanding of mathematical problem solving and its teaching is key to the performance of their professional quality. This study aims to investigate preservice mathematics teachers’ understanding of problem solving and its teaching and compares it with the understanding of in-service mathematics teachers. After surveying 326 in-service mathematics teachers, this study constructs a reliable and valid tool for the cognition of mathematical problem solving and its teaching and conducts a questionnaire survey on 26 preservice mathematics teachers. Survey (...) results reveal that preservice mathematics teachers have a good understanding of mathematical problem solving and its teaching and are more confident in the transfer value of problem solving ability. By contrast, in-service teachers are more optimistic that problem solving requires exploration, continuous thinking, and the participation of metacognition. This article concludes that preservice mathematics teachers should focus more on the initiative and creativity of students and put students at the center of education. In addition, teacher educators should provide more teaching practice opportunities for preservice teachers. The findings also show that in-service teachers’ understanding of problem solving and its teaching is inferior to that of preservice teachers on some indicators, implying the importance of post-service training for in-service teachers. (shrink)

This study investigated a conceptual model by testing how parental romantic relationships influenced the depressive symptoms of grown-up children and whether the constructive communication patterns of grown-up children and romantic relationships played mediation effects within it. A total of 421 Chinese participants were enrolled in the study. The level of depressive symptoms, romantic relationship satisfaction and closeness, couple communication patterns, and parental romantic relationships were measured via self-report questionnaires. According to the results, the structural equation modeling analysis verified that the (...) severity of participants’ depressive symptoms was negatively associated with the parental romantic relationship and that the association was mediated by participants’ constructive communication patterns and their own romantic relationships. Furthermore, compared with nondepressed participants, depressed participants were less satisfied with their parental romantic relationships, exhibited fewer constructive communication patterns, and were more distant and unsatisfied with current romantic relationships. (shrink)

In this article, we examine the relationship between nursing and sacrifice in the context of Shanghai-based nurses volunteering to treat COVID-19 patients in Wuhan during the pandemic in 2019 and 2020. In the paper, we explore the relationship between metaphors, such as ‘the war on COVID’ with the notion of sacrifice among our participants. The contribution that this article makes is to examine the lived experiences of the sacrifices made by individual nurses in a wider ‘relational’ framework. This relational framework (...) examines, not just the sacrifices of the nurses but also the sacrifices made by their families during their service in Wuhan. As such, the article explores not only the relationship (or conflict) between self-love, self-prolonging and self-preservation and ‘self-sacrifice’ in the moral philosophical tradition of Kant – through the lived experiences of our participants – we extend sacrifice and the sacrificial beyond the individual (nurse) to examine the relational and familial lived experiences of the sacrifice of the nurses and their families in the context of their nursing on the COVID-19 wards in Wuhan. (shrink)

Resumen: La filosofía China es una filosofía de la ecología. El problema fundamental de la filosofía China es la relación entre el cielo y el hombre, es decir, la relación entre la naturaleza y el hombre. Esto es evidente en las principales escuelas de la filosofía China, como el confucianismo y el taoísmo. Una correcta comprensión y evaluación de la filosofía ecológica China tiene un importante significado práctico para nosotros para reflexionar sobre el desequilibrio ecológico y el deterioro ambiental causado (...) por la civilización industrial creada bajo la guía del concepto mecánico de naturaleza y antropocentrismo, y para reexaminar la forma de la existencia humana, el desarrollo, el pensamiento y los valores. Este artículo tiene como objetivo explorar los elementos de la eco-filosofía en la filosofía China y analizar su influencia en el concepto, el valor y la práctica de la civilización ecológica. (shrink)