This study investigated Chinese university students’ technology-assisted self-regulated learning strategies and whether the technology-based SRL strategies mediated the associations between English language self-efficacy, English enjoyment, and learning outcomes. Data were collected from 525 undergraduate students in mainland China through three self-report questionnaires and the performance on an English language proficiency test. While students reported an overall moderate level of SRL strategies, they reported a high level of technology-based vocabulary learning strategies. A statistically significant positive relationship was noted between the use (...) of technology-based SRL strategies and students’ English learning outcomes. English language self-efficacy and English language enjoyment were both related to technology-based SRL strategies. Furthermore, SRL strategies fully mediated the relationship between English enjoyment and English learning outcomes, but the association between English enjoyment and SRL strategies was only partially mediated by English language self-efficacy. Pedagogically, findings of this study suggest that training and instruction aimed at promotion of modern educational technology among students need to give attention to developing their strategic awareness of motivation regulation in optimizing effectiveness of their technology use in learning the target language. (shrink)

Adults increase the certainty of their inductive inferences by observing more diverse instances. However, most young children fail to do so. The present study tested the hypothesis that children's sensitivity to instance diversity is determined by three variables: ability to discriminate among instances ( Discrimination ); an intuition that large numbers of instances increase the strength of conclusion ( Monotonicity ); ability to detect subcategories and evaluate numerical differences between the subcategories, or Extraction . A total of 219 Chinese children (...) aged 6 to 11 were tested for sensitivity to diversity by means of Discrimination, Monotonicity, and Extraction. The results indicated that children at all ages were able to discriminate instances and attend to set size. However, only 9- and 11-year-olds demonstrated Extraction and sensitivity to diversity. Furthermore, among all children diversity scores increased linearly with the level of Extraction. These results suggest that the law of large numbers plays a role in children's diversity-based reasoning. (shrink)

This paper delves into a two-agent scheduling problem in which two agents are competing for a single resource. Each agent has a set of jobs to be processed by a single machine. The processing time, release time, weight, and the due dates of each job are known in advance. Both agents have their objectives, which are conflicting in nature. The first agent tries to minimize the total completion time, while the second agent tries to minimize the number of tardy jobs. (...) The two agents’ scheduling problem, an NP-hard problem, has a wide variety of applications ranging from the manufacturing industry to the cloud computing service provider. Due to the wide applicability, each variation of the problem requires a different algorithm, adapted according to the user’s requirements. This paper provides mathematical models, heuristic algorithms, and two nature-based metaheuristic algorithms to solve the problem. The algorithm’s performance was gauged against the optimal solution obtained from the AMPL-CPLEX solver for both solution quality and computational time. The outlined metaheuristics produce a solution that is comparable with a short computational time. The proposed metaheuristics even have a better solution than the CPLEX solver for medium-size problems, whereas the computation times are much less than the CPLEX solvers. (shrink)

The asymmetric distribution of lipids, maintained by flippases/floppases and scramblases, plays a pivotal role in various physiologic processes. Scramblases are proteins that move phospholipids between the leaflets of the lipid bilayer of the cellular membrane in an energy-independent manner. Recent studies have indicated that viral infection is closely related to cellular lipid distribution. The level and distribution of phosphatidylserine (PtdSer) in cells have been demonstrated to be critical regulators of viral infections. Previous studies have supported that the infection of human (...) immunodeficiency virus (HIV), Zika virus, Ebola virus (EBOV), influenza virus, and dengue fever virus require the externalization of phospholipids mediated by scramblases, which are also involved in the pathogenicity of the pandemic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this review, we review the relationship of scramblases with viruses and the potential viral effector proteins that might utilize host scramblases. (shrink)

Research focusing on Anglo-European languages indicates that children’s acquisition of the subordinate structure of complement-clause constructions and the semantics of mental verbs facilitates their understanding of false belief, and that the two linguistic factors interact. Complement-clause constructions support false-belief development, but only when used with realis mental verbs like ‘think’ in the matrix clause (de Villiers, Jill. 2007. The interface of language and Theory of Mind. Lingua 117(11). 1858–1878). In Chinese, however, only the semantics of mental verbs seems to play (...) a facilitative role in false-belief development (Cheung, Him, Hsuan-Chih Chen & William Yeung. 2009. Relations between mental verb and false belief understanding in Cantonese-speaking children. Journal of Experimental Child Psychology 104(2). 141–155). We argue that these cross-linguistic differences can be explained by variations in availability and usage patterns of mental verbs and complement-clause constructions across languages. Unlike English, Mandarin-Chinese has a verb that indicates that a belief might be false: yi3wei2 ‘(falsely) think’. Our corpus analysis suggests that, unlike English caregivers, Mandarin-Chinese caregivers do not produce frequent, potentially unanalyzed, chunks with mental verbs and first-person subjects, such as ‘I think’. In an experiment, we found that the comprehension of complement-clause constructions used with yi3wei2 ‘(falsely) think’, but not with jue2de2 ‘think’, predicted Mandarin children’s false-belief understanding between the ages of 4 and 5. In contrast to English, whether mental verbs were used with first- or third-person subjects did not affect their correlation with false-belief understanding. (shrink)

The target article presented a plausible argument that females' susceptibility to threats might be self-protection for staying alive, but some evidence requires scrutiny. We need to consider the biases of narrative reviews, subjective life quality, and the shadow side of extreme reactions to threats before concluding that females' threat-based response is a self-protection mechanism that promotes survival.

Maximizing is a topic that has received significant attention from researchers and corporate organizations alike. Although extensive previous research has explored how maximizers behave in a decision scenario, a fundamental question remains about why they prefer a larger assortment regardless of whether the decisions are important or not. This study attempts to explore the underlying mechanism of this phenomenon. Four surveys were conducted, and participants from Mturk or Credamo online platforms were recruited. The maximizing tendency was measured by either maximization (...) scale or maximizing tendency scale, and perceived importance and preference for a large assortment were measured in different decision scenarios. Across four studies, we find that maximizers perceive the same decision as more important than satisficers, and perceived importance serves as the mechanism underlying the maximizers’ preference for a large assortment. In other words, in maximizers’ perceptions and interpretations, even seemingly trivial decisions are important enough to spend great effort on a large assortment. We additionally identified a boundary condition for the effect – cost salience. These findings illustrate a pioneering empirical exploration of the difference in the way maximizers and satisficers perceive their decision importance and the reason for maximizers’ preference for a large assortment. (shrink)

"The ineffable" in Wittgenstein's Tractatus Logico-Philosophicus is an essential term that has various interpretations. It could be divided into two types, namely, positive and negative, or real and fake. The negative or fake type can be clarified by logical analysis, while the positive or real type can be understood only through philosophical critique. Both the positive and negative types consist of infinity or absoluteness, but the infinity is subject to distinctions in meaning and logic. "������������������" ������������������������������������������ «������������������������������» ������������������������������������������������������������������������������ ������, ������������������������������������������, (...) ������������������������������������������������, ������������������������������������������������. ������������������������������������������ ������������������������������������������������������������������������, ������������������������������������������������������������������������������������������������������������������������������������ ������. ������������������������������������������������������������������������������������������������������������, ������������������������������������������������������������������������������������ ������������������������. (shrink)

This paper discusses how the association learning principle works for supporting acquisition of basic spelling and reading skills using digital game-based learning environment with the Finland-based GraphoLearn technology. This program has been designed and validated to work with early readers of different alphabetic writing systems using repetition and reinforcing connections between spoken and written units. Initially GL was developed and found effective in training children at risk of reading disorders in Finland. Today GL training has been shown to support learning (...) decoding skills among children independent of whether they face difficulties resulting from educational, social, or biological reasons. (shrink)

Emotion recognition is an important part of building an intelligent human-computer interaction system and plays an important role in human-computer interaction. Often, people express their feelings through a variety of symbols, such as words and facial expressions. A business ecosystem is an economic community based on interacting organizations and individuals. Over time, they develop their capabilities and roles together and tend to develop themselves in the direction of one or more central enterprises. This paper aims to study a multimodal ER (...) method based on attention mechanism. It analyzes the current emotional state of consumers and the development direction of enterprises through multi-modal ER of human emotions and analysis of market trends, so as to provide the most appropriate response or plan. This paper firstly describes the related methods of multimodal ER and deep learning in detail, and briefly outlines the meaning of enterprise strategy in the business ecosystem. Then, two datasets, CMU-MOSI and CMU-MOSEI, are selected to design the scheme for multimodal ER based on self-attention mechanism. Through the comparative analysis of the accuracy of single-modal and multi-modal ER, the self-attention mechanism is applied in the experiment. The experimental results show that the average recognition accuracy of happy under multimodal ER reaches 91.5%. (shrink)

BackgroundDepression is common psychiatric morbidity in breast cancer survivors, seriously affecting patients’ quality of life and mental health. A growing body of research has investigated depression in breast cancer. However, no visual bibliometric analysis was conducted in this field. This study aimed to visualize the literature to identify hotspots and frontiers in research on breast cancer and depression.MethodsThe publications related to depression in breast cancer were retrieved in the Web of Science Core Collection between 1 January 2002 and 17 March (...) 2022. VOSviewer was used to identify co-occurrences and collaborations among countries, institutions, and keywords. CiteSpace was used to detect keyword bursts.ResultsA total of 7,350 articles and reviews related to depression in breast cancer were identified. From 2002 to 2022, the United States and the People’s Republic of China were the most productive countries in this field. The University of California, Los Angeles, and the University of Toronto were the most productive institutions in this field. The Journal of Psycho-oncology, followed by Supportive Care in Cancer and the Journal of Clinical Oncology, had the most publications on depression in breast cancer. Of the top 10 journals, seven were from the United States, two were from England, and one was from Germany. Five research hotspots of depression in breast cancer were identified by co-word analysis. Research on post-traumatic growth, spiritual interventions, cognitive-behavioral therapy, physical activity, and symptom cluster management of depression in breast cancer was relatively mature in the core hotspots. Burst detection of keywords on depression in breast cancer showed the latest hotspots, such as mental health, cancer survivor mortality, and activity.ConclusionThe research on depression in breast cancer is growing. Attention should be paid to the latest hotspots, such as mental health, cancer survivor, mortality, exercise, and physical activity. (shrink)

本书以自由的两种类型为基点, 在着力分析了自由和自由主义的内涵、自由主义的演进思路的基础上, 运用历史尤其是思想史的研究方法, 对英国革命时期、启蒙时代至19世纪中叶西欧自由主义思潮演变的轨迹做了细致的梳理和分析.

本书以志体为主, 兼用述、记、传、图、表、录诸体, 力求客观、科学地记述曾子的生平、贡献及影响。设《家世生平》、《著作》、《思想学说》、《影响与研究》、《历代崇颂》、《曾子后裔》及《遗址遗迹与纪念性建筑》七篇.

With the expansion of people’s needs, the translation performance of traditional models is increasingly unable to meet current demands. This article mainly studied the Transformer model. First, the structure and principle of the Transformer model were briefly introduced. Then, the model was improved by a generative adversarial network to improve the translation effect of the model. Finally, experiments were carried out on the linguistic data consortium dataset. It was found that the average Bilingual Evaluation Understudy value of the improved Transformer (...) model improved by 0.49, and the average perplexity value reduced by 10.06 compared with the Transformer model, but the computation speed was not greatly affected. The translation results of the two example sentences showed that the translation of the improved Transformer model was closer to the results of human translation. The experimental results verify that the improved Transformer model can improve the translation quality and be further promoted and applied in practice to further improve the English translation and meet application needs in real life. (shrink)

Multisource information systems and multigranulation intuitionistic fuzzy rough sets are important extended types of Pawlak’s classical rough set model. Multigranulation intuitionistic fuzzy rough sets have been investigated in depth in recent years. However, few studies have considered this combination of multisource information systems and intuitionistic fuzzy rough sets. In this paper, we give the uncertainty measure for multisource intuitionistic fuzzy information system. Against the background of multisource intuitionistic fuzzy information system, each information source is regarded as a granularity level. Considering (...) the different importance of information sources, we assign different weights to them. Firstly, the paper proposes an optimal source selection method. Secondly, we study the weighted generalized, weighted optimistic, and weighted pessimistic multigranularity intuitionistic fuzzy rough set models and uncertainty measurement methods in the multisource intuitionistic fuzzy information system, and we further study the relationship between the three models and related properties. Finally, an example is given to verify the validity of the models and methods. (shrink)

Conditional automated driving [level 3, Society of Automotive Engineers ] requires drivers to take over the vehicle when an automated system’s failure occurs or is about to leave its operational design domain. Two-stage warning systems, which warn drivers in two steps, can be a promising method to guide drivers in preparing for the takeover. However, the proper time intervals of two-stage warning systems that allow drivers with different personalities to prepare for the takeover remain unclear. This study explored the optimal (...) time intervals of two-stage warning systems with insights into the drivers’ neuroticism personality. A total of 32 drivers were distributed into two groups according to their self-ratings in neuroticism. Each driver experienced takeover under the two-stage warning systems with four time intervals. The takeover performance and subjective opinions for time intervals and situation awareness were recorded. The results showed that drivers in the 5-s time interval had the best takeover preparation. Furthermore, both the 5- and 7-s time intervals resulted in more rapid takeover reactions and were rated more appropriate and useful than the 3- and 9-s time intervals. In terms of personality, drivers with high neuroticism tended to take over immediately after receiving takeover messages, at the cost of SA deficiency. In contrast, drivers with low neuroticism responded safely by judging whether they gained enough SA. We concluded that the 5-s time interval was optimal for drivers in two-stage takeover warning systems. When considering personality, drivers with low neuroticism had no strict requirements for time intervals. However, the extended time intervals were favorable for drivers with high neuroticism in developing SA. The present findings have reference implications for designers and engineers to set the time intervals of two-stage warning systems according to the neuroticism personality of drivers. (shrink)