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Since humankind crossed the threshold to civilization, and up to the moment of the victory of the revolution of the proletariat, being oppressed and being enslaved was the common fate of women down through the ages. Albeit that in different periods and eras, in different societies, countries, or nations, and owing to the impact of different economic, political, cultural, and moral factors, the oppression and enslavement of women was expressed in different forms and to different degrees, such oppression and enslavement (...) existed in every age and place as a common feature of history. For the longest time, the value that women ought to have and deserve, as members of society, as members of the family, and as the object of the affection and intimacy of men, was consistently and maliciously damaged, undermined, and demeaned. (shrink)

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The application of genetic technologies in China, especially in the area of prenatal genetic testing, is rapidly increasing in China. In the wealthy regions of China, prenatal genetic testing is already very widely adopted. We argue that the government should actively promote prenatal genetic testing to the poor areas of the country. In fact, the government should prioritize resources first to make prenatal genetic testing a standard routine care with an opt-out model in these area. Healthcare professions would be required (...) to inform pregnant women about the availability of genetic testing and provide free testing on a routine basis unless the parents choose not to do so. We argue that this proposal will allow parents to make a more informed decision about their reproductive choices. Secondarily, this proposal will attract more healthcare professionals and other healthcare resources to improve the healthcare infrastructures in the less-developed regions of the country. This will help to reduce the inequity of accessing healthcare services between in different regions of China. We further argue that this policy proposal is not practicing eugenics. (shrink)

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This exploratory study employs the Defining Issues Test to investigate the moral reasoning levels of a sample of 228 accounting students at Xi’an Jiaotong University, Xi’an, and 192 accounting practitioners from different regions of China. The results show that on average, the P scores of Chinese accounting students and practitioners are 45.02 and 33.57, respectively. When compared with the levels of moral reasoning of their peers in Western countries, as provided in Tables 1 and 2 of Bailey et al. :1–26, (...) 2010), Chinese accounting students exhibit post-conventional levels of moral development similar to the highest levels reported, whereas Chinese accounting practitioners report post-conventional levels of moral development similar to the lowest levels of post-conventional moral development reported by the practitioners in Western countries. Furthermore, female Chinese accounting students score significantly higher on the post-conventional level of the development stage than do the male Chinese students, but there is no significant gender effect in P scores between the male and female accounting practitioners. (shrink)

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There are differences in caregivers’ literacy and health literacy levels that may affect their ability to consent to children participating in clinical research trials. This study aimed to explore the effectiveness, and caregivers’ understandings, of the process of informed consent that accompanied their child’s participation in a dental randomized control trial (RCT). Telephone interviews were conducted with a convenience sample of ten caregivers who each had a child participating in the RCT. Pre-tested closed and open-ended questions were used, and the (...) findings were produced from an inductive analysis of the latter and a descriptive analysis of the former. Participants had limited understanding of the purpose of the RCT and rated the readability of the consent form more highly than they rated their understanding of the research. All felt that informed consent was vital, but some caregivers had not read the consent documents. Some caregivers enrolled their child in the RCT because they trusted the researchers, and the majority wanted to improve dental care for children. The informed consent process was not always effective despite high readability of the informed consent documents. Researchers must consider the health literacy of the study group, and actively engaging with caregivers to achieve meaningful informed consent may be challenging. Future research could explore participants’ perspectives of informed consent in populations with low health literacy and assess whether an underlying expectation not to comprehend health-related information may be a barrier to informed consent. (shrink)

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The Affymetrix GeneChip is a popular microarray platform for genome‐wide expression profiling and has been widely used in functional genomics especially in the classification of cancers. Due to the updating of genome data, much of the genome information with which the chips were designed is out‐of‐date and it has been reported that many of the genes/transcripts on the chips differ from their original definition when mapping the probes to the new genome information. Dai et al. have reported that the updated (...) definition can cause as much as 30–50% discrepancy in the genes selected as differentially expressed on a heart tissue expression profiling dataset. Understanding the nature of this difference is therefore very important for the utilization of the data. In this work, with a large cancer dataset as an example, we compared two major definitions and investigated their effects on classification, clustering, discovery of differentially expressed genes and gene‐set‐based analysis. Results show that the two definitions agree well on clustering and classification results but genes and gene sets discovered as differentially expressed or enriched can be very different. Discoveries based on the Affymetrix definition can cover most of those based on the new definition, but tend to have more false positives. BioEssays 28: 739–746, 2006. © 2006 Wiley Periodicals, Inc. (shrink)

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In the intelligent transportation system, the license information can be automatically recognized by the computer and the vehicle can be tracked. Red light running, illegal change of lanes, vehicle retrograde, and other illegal driving events are reasonably recorded. This is undoubtedly an effective help for the traffic police to relieve the huge work pressure. However, in China, a considerable number of vehicle tracking methods have certain limitations in resisting complex external environmental influences. The external environmental factors include but not limited (...) to variable factors such as camera movement, jitter, and severe rain and snow. These factors cannot be controlled well, so the tracking accuracy is greatly reduced. In regard to this, this paper proposes an optimization method for moving vehicle tracking based on SPF. First, according to the size of the overlapping area of the motion area between the two images, the researcher can construct and simplify the vertex adjacency matrix that reflects the characteristics of the undirected bipartite graph. Then according to the corresponding relationship between the vertex adjacency matrix and the regional behavior and vehicle behavior, the researcher completes the regional behavior analysis and vehicle behavior analysis. On this basis, a particle filter vehicle tracking algorithm based on segmentation compensation is introduced, and the vector sum of the tracked segmentation area is used as the final position of the target vehicle. In this way, as many scattered particles fall on the target area as possible, which will greatly improve the efficiency of particle utilization, enhance tracking accuracy, and avoid the problem of tracking failure caused by too fast vehicle movement. Through experimental simulation, it can be seen that the method proposed in this paper can greatly enhance the vehicle tracking ability when tracking vehicles in “complex environments.”. (shrink)

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Social media chat groups, such as WeChat and WhatsApp groups, are widely applied in online communication. This research has conducted two studies to examine the individual level and collective level’s opinion dynamics in those groups. The opinion dynamic is driven by two variables, people’s perceived peer support and willingness of opinion expression. The perceived peer support influences the willingness of opinion expression, and the willingness influences the dynamics of real opinion-expression. First, the quasi-experimental study recruited twenty-five participants as the observation (...) group and found that decreasing perceived peer support would significantly increase individuals’ expression willingness to protect his/her opinion. To generalize the individual level findings to a collective level, the second study treated the social media chat groups as an undirected fully-connected social network and simulated people’s opinion expression dynamics with an agent-based model. The simulation indicated that with the help of increased willingness of opinion expression, the minority opinion supporters as a collective did not fall silent but continue to express themselves and increasing willingness of opinion expression would maintain the existence of minority opinion but could not help the minority reverse to the majority. (shrink)

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Before expressing opinions, most people usually consider the standpoint of their friends nearby to avoid being isolated, which may lead to the herding effect. The words of celebrities in social networks usually attract public attention and affect the opinion evolution in the entire network. This process also causes the similar status quo. In this study, we find that the key figures play the guiding roles in public opinions who undertake the group pressure from information amount. Therefore, we build the cost (...) function on opinion changes to study opinion evolution rules for public persons based on the spreading scope of information and information amount. Simulation analysis reveals that the information amount held by agents will affect the converging speed of public opinions, while enhancing the ability of key nodes may no more effective in guiding public opinion. (shrink)

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This article aims to answer the question that whether higher education would lead to happier life in China and tries to provide some explanations from the perspective of housing asset. Using data from four waves of China Household Finance Survey, we find that higher education on average is significantly negatively correlated with people's happiness in urban China. Higher education tends to prevent people from achieving “extremely happy” lives; instead, it is more likely to lead to “acceptable” lives. Based on the (...) realities of housing market in urban China, we find that housing asset plays the mediating role in the relationship between higher education and happiness. Specifically, years of schooling could evidently compress the years of being homeowners; as a result, highly educated people generally have more unpaid housing debts and bear more housing purchase costs due to the soaring housing prices. Meanwhile, higher education has negative effect on people's happiness in cities with relatively high housing prices, while this effect is insignificant in cities with relatively low housing prices. Moreover, the market-oriented housing reform that launched in 1998 has negative impact on highly educated people's happiness, since it has dramatically boosted housing prices and essentially changed housing distribution system for urban employees. Besides, we also find that Ph.D graduates are the relatively unhappiest people compared to bachelors or masters. Obviously, our findings have important policy implications for Chinese government to understand and resolve the “education-happiness paradox.”. (shrink)

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BackgroundThe cognitive outcomes induced by subthalamic nucleus deep brain stimulation (STN-DBS) remain unclear, especially in PD patients with mild cognitive impairment (MCI). This study explored the cognitive effects of STN-DBS in PD patients with MCI.MethodsThis was a retrospective cohort study that included 126 PD patients who underwent STN-DBS; all patients completed cognitive and motor assessments before and at least 6 months after surgery. Cognitive changes were mainly evaluated by the Montreal cognitive assessment (MoCA) scale and the seven specific MoCA domains, (...) including visuospatial/executive function, naming, attention, language, abstract, delayed recall, and orientation. Motor improvement was evaluated by the UPDRS-III. Cognitive changes and motor improvements were compared between PD-MCI and normal cognitive (NC) patients. Logistic regression analyses were performed to explore predictors of post-operative cognitive change.ResultsAt the time of surgery, 61.90% of the included PD patients had MCI. Compared with the PD-MCI group, the PD-NC group had a significantly higher proportion of cases with post-operative cognitive decline during follow-up of up to 36 months (mean 17.34 ± 10.61 months), mainly including in global cognitive function, visuospatial/executive function and attention. Covariate-adjusted binary logistic regression analyses showed that pre-operative global cognitive status was an independent variable for post-operative cognitive decline. We also found that pre-operative cognitive specific function could predict its own decline after STN-DBS, except for the naming and orientation domains.ConclusionPD-MCI patients are at a lower risk of cognitive decline after STN-DBS compared with PD-NC patients. (shrink)

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ObjectiveDespite its prevalence, insomnia disorder remains poorly understood. In this study, we used machine learning to analyze the functional connectivity disturbances underlying ID, and identify potential predictors of treatment response through recurrent transcranial magnetic stimulation and pharmacotherapy.Materials and methods51 adult patients with chronic insomnia and 42 healthy age and education matched controls underwent baseline anatomical T1 magnetic resonance imaging, resting-stage functional MRI, and diffusion weighted imaging. Imaging was repeated for 24 ID patients following four weeks of treatment with pharmacotherapy, with (...) or without rTMS. A recently developed machine learning technique, Hollow Tree Super was used to classify subjects into ID and control groups based on their FC, and derive network and parcel-based FC features contributing to each model. The number of FC anomalies within each network was also compared between responders and non-responders using median absolute deviation at baseline and follow-up.ResultsSubjects were classified into ID and control with an area under the receiver operating characteristic curve of 0.828. Baseline FC anomaly counts were higher in responders than non-responders. Response as measured by the Insomnia Severity Index was associated with a decrease in anomaly counts across all networks, while all networks showed an increase in anomaly counts when response was measured using the Pittsburgh Sleep Quality Index. Overall, responders also showed greater change in all networks, with the Default Mode Network demonstrating the greatest change.ConclusionMachine learning analysis into the functional connectome in ID may provide useful insight into diagnostic and therapeutic targets. (shrink)

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Aiming at the problem of insufficient health monitoring of the elderly in the existing home care system, this paper designs a health information analysis and early warning system based on the Internet of Things technology, which can monitor the physiological data of the elderly in real time. It also can be based on the elderly real-time monitoring data, physical examination data, and other types of health data, which can be used to predict diseases, so as to achieve “early detection and (...) early treatment” of diseases. First, analyse and design the architecture and content of the home care monitoring system based on the Internet of Things. Secondly, based on the collected heart rate, blood pressure, and three-axis acceleration information of the elderly, it is analysed to determine whether the elderly are in danger of falling, and the designed system is used for early warning. Finally, this paper analyses the prediction algorithm theory of the disease prediction module in the health monitoring software of the home care system. In order to improve the accuracy of prediction, the DS evidence theory is used to optimize the traditional BP neural network algorithm and conduct experimental tests. The test results show that the health information analysis and early warning software of the home care system meet actual needs and achieve the expected goals. (shrink)

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Evidence from our research on young children's temporal understanding supports Hoerl & McCormack's view that young children rely on a temporal updating system to change representations over time. We propose that the shift from temporal updating to temporal reasoning is enabled by children's expanding representations of event sequences, along with developments in language, memory, and other cognitive competencies.

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A shortage or backlog of inventory can easily occur due to the backward forecasting method typically used, which will affect the normal flow of funds in pharmacies. This paper proposes a replenishment decision model with back propagation neural network multivariate regression analysis methods. With the regular pattern between sales and individual variables, supplemented with the safety stock empirical formula, an accurate replenishment quantity can be obtained. In the case analysis, this paper takes the sales situation of a pharmacy as an (...) example and tests the accuracy and stability of the model. The results show that the model has good prediction accuracy which can be introduced into the intelligent pharmacy system and used in the replenishment of the intelligent pharmacy to prevent overstocking or a shortage of stock, thus improving the financial situation, reducing the manpower burden of typical retail pharmacy, and helping residents buy medicines. (shrink)

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Many scholars have conducted in-depth research on the evaluation and prediction of scholars’ scientific impact and meanwhile discovered various factors that affect the success of scholars. Among all these relevant factors, scholars’ ages have been universally acknowledged as one of the most important factors for it can shed light on many practical issues, e.g., finding supervisors, discovering rising stars, and research funding or award applications. However, due to the inaccessibility or the privacy issues of acquiring scholars’ personal data, there is (...) little research to explore the true ages of scholars currently. Alternatively, scholars’ publications’ information can be obtained through various digital libraries. Inspired by this fact, we propose a novel scholar’s age prediction method based on their articles’ information. Our method first classifies factors that affect scholars’ ages into intuitive and complex types according to their computational complexity and then apply machine learning algorithms to predict the ages of scholars based on these factors. The experimental results on the real dataset demonstrate that our method can effectively predict the true ages of scholars. Given that there is no completely accurate dataset because of the continuous publication of academic papers, we then apply our method on the incomplete dataset. Nevertheless, our method still has high prediction accuracy in such situations. (shrink)

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With the popularization of higher education and the promotion of college enrollment expansion, the number of college graduates increases sharply. At the same time, the continuous transformation and upgrading of the industrial structure put forward higher requirements on the employability of college students, which leads to the imbalance between supply and demand in the labor market. The key to dealing with employment difficulties lie in the improvement of college students’ employability. Therefore, we make a regression analysis of 263 valid samples (...) from universities in Anhui Province and extract the factors that influence the improvement of college students’ employability in the process of talent cultivation in university. The result shows that there is a positive correlation between course setting, course teaching, club activities, and college students’ employability, among which the course teaching and club activities are the most critical factors which may influence college students’ employability. In addition, from the viewpoint of individual college students, the overall grades of college students and the time of participating in the internship are also closely related to their employability, i.e., college students with good overall grades and long internship time should also have stronger employability. (shrink)

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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)

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This paper aims to develop the description of move systems in Systemic Functional Linguistics based on dynamism in knowledge exchanges, that is, the possible move options made available at different points in an exchange concerned with the negotiation of information. Using conversational interactions in Khorchin Mongolian as examples, the paper argues that at different points in a knowledge exchange, both the speaker and the addressee’s knowledge of the information are at stake. The speaker may be positioned either as knowing or (...) as not knowing the information; at the same time the addressee may be positioned either as knowing or as not knowing the information. It is also possible for the interlocutors not to be positioned either way. The move systems developed make it possible to discuss the options preselected and activated at different points in a knowledge exchange and the way interlocutors are dynamically positioned as an exchange unfolds. (shrink)

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Morphology is the study of word forms and the ways in which words are varied and related to other words in a language. It has been regarded as an essential discipline that is indispensable in language acquisition. It helps learners to figure out the word structure and meaning, particularly the meaning changing of morphemes, which is pivotal for defining words. The present study focuses on developing morphological knowledge with online corpora which are the useful tools for teaching and learning the (...) changes happened in English. Given this light, this research reports an ESL vocabulary classroom in which the instructor designs vocabulary classroom activities with COCA, BNC, TIME MAGAZINE corpus to enrich students' English vocabulary knowledge, help them master word usage, and foster their corpus literacy. This study is oriented by the framework of Classroom Action Research (CAR). Students' classroom performances were recorded and their self-reflections of learning experiences were collected for thematic analysis. The results indicate that, firstly, students' morphological knowledge has been developed as well as their vocabulary knowledge; secondly, their vocabulary self-regulated learning motivation has been incentivised that they are able to answer their own queries about words; thirdly, students' corpus literacy has been fostered, which facilitates their ongoing vocabulary learning; last but not least, a community of inquiry has been established in which students collaborate to construct vocabulary knowledge. The study has wider implications for constructing the student-centered vocabulary classroom and implementing corpus-based instruction in other second language vocabulary classrooms. (shrink)

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This article adopts a Systemic Functional Linguistics framework of appraisal theory to interpret the behavioural and attitudinal resources in written narratives and proposes the idea of proximity as an alternative representation to explain the meaning-making process of Chinese students’ possible selves in a less examined context of UK-based transnational university in China, by focusing on the lexical and semantic explanation of how these Chinese students use and are mediated by contextual resources in discourse. Six written narratives were collected from six (...) Chinese students from the School of International Communications at the University of Nottingham Ningbo China. The overall findings revealed that all six Chinese students from different years shaped proximal past, current and future possible disciplinary selves through repeated engagement and positive alignment with the contextual values, although they had differentiated developmental processes of using and being mediated by the contextual recourses. This article concludes by arguing for a need to investigate the Chinese learners in the current changing world by looking at their repertoire experience of disciplinary learning and reservoir context. (shrink)

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The concept of śīla-pāramitā (Pali. sīlapāramī), “the perfection of morality” is one of a collection of spiritual virtues accomplished by a bodhisattva for achieving Buddhahood. This paper explores the origin and development of śīla-pāramitā by tracing its roots from early Buddhist scriptures to its later articulations in the Cariyāpiṭaka and early Mahāyāna texts. In early Buddhist texts like the Nikāyas and Āgamas, śīla primarily refers to moral discipline, encompassing rules for both laypeople and monastics. The paper then analyzes how śīla, (...) originally linked to the ethical conduct of monastics and lay followers alike, gradually evolved into a perfection (pāramitā) in Mahāyāna Buddhism, acquiring a central role in the Bodhisattva’s cultivation of virtues. In this process, the meaning and scope of śīla-pāramitā underwent significant changes. By analyzing these developments, we gain a deeper understanding of the origins of Mahāyāna Buddhism and provides valuable insights into its ethical and doctrinal progression. (shrink)

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A primary object of causal reasoning concerns what would happen to a system under certain interventions. Specifically, we are often interested in estimating the probability distribution of some random variables that would result from forcing some other variables to take certain values. The renowned do-calculus gives a set of rules that govern the identification of such post-intervention probabilities in terms of pre-intervention probabilities, assuming available a directed acyclic graph that represents the underlying causal structure. However, a DAG causal structure is (...) seldom fully testable given preintervention, observational data, since many competing DAG structures are equally compatible with the data. In this paper we extend the do-calculus to cover cases where the available causal information is summarized in a so-called partial ancestral graph that represents an equivalence class of DAG structures. The causal assumptions encoded by a PAG are significantly weaker than those encoded by a full-blown DAG causal structure, and are in principle fully testable by observed conditional independence relations. (shrink)

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Using data from the China Family Panel Studies, this paper investigates the effects of Internet use on residents’ risk attitudes. Both Generalized Ordered Logit Model and Logit model are used to identify the effects of Internet use. The results reveal an association between Internet use and increases in both subjective and objective risk preferences that remains even after we adjust for possible endogeneity. The heterogeneity analysis also reveals that these impacts are different among groups with different reasons for Internet use (...) and different personal characteristics. Our study expands the research on the effects of Internet on people’s concepts from the micro perspective and suggests that while promoting the application of information technology we should also pay attention to the individual characteristics of residents so that we can better share the “digital dividend” brought by the popularization of information technology in the whole society. (shrink)

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