Ben shu yi Ming ru Li Cai de jiang xue huo dong yu xue pai jian gou wei zhong xin, tan tao cong shi liu shi ji chu dao shi qi shi ji mo li xue qun ti zhong xin xing xue shuo he xue pai de chan sheng, chuan bo, kuo zhan yu chuan cheng de mo shi, bing zhuo zhong cong si xiang shi de jiao du jie shi zhe zhong mo shi chan sheng he yun xing de (...) si xiang gen yuan yu nei zai dong li. Quan shu zheng wen gong qi zhang, zhu yao nei rong fen wei shang xia liang bian, shang bian yi hong guan zong lun de fang shi, cong li xue jing dian "Da xue" de wen ben bian dong he quan shi jing zheng qie ru, tan tao zhong wan Ming li xue xue shuo he xue pai jian gou de li lun gen ju; xia bian yi Li Cai de "zhi xiu" xue shuo ji qi jiang xue huo dong zuo wei ge an yan jiu, tan tao li xue xue shuo he xue pai de chuan bo ji chuan cheng de she hui hua tu jing. (shrink)

ObjectivesAcupuncture therapy has been used for cognitive impairment-related diseases, however, there are still few studies on the overall trend of acupuncture therapy on cognitive impairment based on bibliometric analysis. The purpose of this study was to explore the research trend of the impact of acupuncture on cognitive impairment in the past 15 years, analyze the research trends and hotspots, and provide new ideas and theoretical basis for future research directions.MethodsFrom the Web of Science Core Collection, the relevant literature on the (...) treatment of cognitive impairment with acupuncture from 2007 to 2022 was retrieved. Then, based on the CiteSpace and VOSviewer software of the Java platform, the cooperation between countries and institutions in this field, the co-citation of journals and documents, and the cooperation between authors and authors, etc. were analyzed. In addition, the co-occurrence and burst analysis of keywords are also carried out, and a visual knowledge map is drawn.ResultsAs of August 08, 2022, a total of 394 records related to the treatment of cognitive impairment with acupuncture were identified. The analysis results show: The number and rate of annual publications have steadily increased, with some fluctuations from year to year. The countries that contribute the most to this field are China and the USA. Among them, Beijing University of Chinese Medicine and Capital Medical University are tied for first place in terms of the number of published papers. Tao Jing is the most prolific author and the number one cited author.ConclusionsThe number of publications on acupuncture for cognitive impairment is expected to increase rapidly in future research, suggesting a bright future for the field. Future research hotspots will focus on pain, injury, protocol, diagnosis, guidelines, etc. It is also necessary to strengthen cross-regional and cross-country cooperation among various academic groups. (shrink)

Public consumption of artificial intelligence (AI) technologies has been rarely investigated from the perspective of data surveillance and security. We show that the technology acceptance model, when properly modified with security and surveillance fears about AI, builds an insight on how individuals begin to use, accept, or evaluate AI and its automated decisions. We conducted two studies, and found positive roles of perceived ease of use (PEOU) and perceived usefulness (PU). AI security concern, however, negatively affected PEOU and PU, resulting (...) in less acceptance of AI—(1) use, (2) preference, and (3) participation. AI surveillance concern also had negative effects on the credibility of AI and its recommendations. We integrated extant literature on socio-demographic differences, providing an insight on how AI acceptance is based on one’s rationality regarding (1) technological risks (security/surveillance) and (2) benefits (PEOU/PU) as well as other contextual factors of socio-demographics. (shrink)

本书汇集了各种报告或讲座中具有代表性的一部分,旨在创设一种民主自由的学术氛围,使各种观点、理论相互切磋、撞击,让读者置身于一个清美高洁,又五彩斑斓的学术百花园。.

Following the COVID-19 pandemic, online learning has become a new mode of learning that students must adapt to. However, the mechanisms by which students receive and grasp knowledge in the online learning mode remain unknown. Cognitive load theory offers instructions to students considering the knowledge of human cognition. Therefore, this study considers the CLT to explore the internal mechanism of learning under the online mode in an experimental study. We recruited 76 undergraduates and randomly assigned them to four groups in (...) which they will watch videos at four different kinds of speed. The study observed and analyzed how video playback speed affected students' learning and cognitive load to obtain the following results: Video playback speed significantly influenced the students' learning effect. The best effect was observed at the speed of 1.25× and 1.5×. The speed that affected the learning effect best differed according to the students' learning abilities. High-level group students performed best at the speed of 1.5×, whereas low-level group students performed best at the speed of 1.25×. The 1.5× speed showed significant differences in the learning effect by students' majors. This indicates that the cognitive load of liberal arts students increased greatly at this speed. A change in playback speed has a significant impact on the cognitive load. Accelerated playback speed increases the cognitive load of students. The highest learning effect is observed under medium cognitive load. (shrink)

Several functional magnetic resonance imaging studies have demonstrated abnormalities in static intra- and interhemispheric functional connectivity among diverse brain regions in patients with major depressive disorder. However, the dynamic changes in intra- and interhemispheric functional connectivity patterns in patients with MDD remain unclear. Fifty-eight first-episode, drug-naive patients with MDD and 48 age-, sex-, and education level-matched healthy controls underwent resting-state fMRI. Whole-brain functional connectivity, analyzed using the functional connectivity density approach, was decomposed into ipsilateral and contralateral functional connectivity. We computed (...) the intra- and interhemispheric dynamic FCD using a sliding window analysis to capture the dynamic patterns of functional connectivity. The temporal variability in functional connectivity was quantified as the variance of the dFCD over time. In addition, intra- and interhemispheric static FCD patterns were calculated. Associations between the dFCD variance and sFCD in abnormal brain regions and the severity of depressive symptoms were analyzed. Compared to HCs, patients with MDD showed lower interhemispheric dFCD variability in the inferior/middle frontal gyrus and decreased sFCD in the medial prefrontal cortex/anterior cingulate cortex and posterior cingulate cortex/precuneus in both intra- and interhemispheric comparisons. No significant correlations were found between any abnormal dFCD variance or sFCD at the intra- and interhemispheric levels and the severity of depressive symptoms. Our results suggest intra- and interhemispheric functional connectivity alterations in the dorsolateral prefrontal cortex and default mode network regions involved in cognition, execution and emotion. Furthermore, our study emphasizes the essential role of altered interhemispheric communication dynamics in the DLPFC in patients with MDD. These findings contribute to our understanding of the pathophysiology of MDD. (shrink)

Because of the coronavirus disease 2019 pandemic, the traditional didactic teaching method that is practiced in Confucian culture, an Eastern cultural model, is being challenged by multiple alternative teaching modes. In Western cultures, the teaching behavior of teachers is dependent on their ability to influence the temperament of students; in contrast, teachers in Eastern cultures are influenced by changes in external environment. This phenomenon can mainly be explained by the tendency of students in Eastern cultures to adopt a passive learning (...) style because of Confucianism. On the basis of Confucian culture and literature review, we conducted a Chinese-language questionnaire survey of temperament scales and learning motivation, and 724 effective questionnaires were collected and used to explore the relationship between students’ temperament and learning motivation under three teaching modes, namely, online teaching, traditional offline classroom teaching, and online–offline mixed teaching. Conclusions drawn were as follows. In a Chinese Confucian cultural system, the passive learning style of students and its relationship with the surrounding collective culture creates the temperament characteristics of sanguinity and phlegmatism. Influenced by the traditional Confucian values of benevolence and honesty, students with a melancholic temperament do not focus on their learning motivations. Furthermore, changes in external information, to which such students are sensitive, cause them to give up opportunities easily. Similarly, students with a choleric temperament are sensitive and prone to fluctuating emotions, and they tend to be affected by changes in their external environment. Although students have a strong learning motivation under the traditional offline teaching mode, a paradox in individual cognition exists because of differences between Chinese and Western cultures. Therefore, students generally prefer the online–offline mixed teaching mode to the traditional single teaching mode. This study explored factors that influence students’ learning motivation, namely, individual temperament and educational environment, and provides a reference for the future development of post epidemic education. (shrink)

ObjectiveInvestigating the mental health status of Chinese resident physicians during the 2019 new coronavirus outbreak.MethodsA cluster sampling method was adopted to collect all China-wide resident physicians during the epidemic period as the research subjects. The Symptom Checklist-90 self-rating scale was used to assess mental health using WeChat electronic questionnaires.ResultsIn total, 511 electronic questionnaires were recovered, all of which were valid. The negative psychological detection rate was 93.9%. Among the symptoms on the self-rating scale, more than half of the Chinese resident (...) physicians had mild to moderate symptoms of mental unhealthiness, and a few had asymptomatic or severe unhealthy mental states. In particular, the detection rate of abnormality was 88.3%, obsessive-compulsive symptoms was 90.4%, the sensitive interpersonal relationship was 90.6%, depression abnormality was 90.8% /511), anxiety abnormality was 88.3%, hostility abnormality was 85.3%, terror abnormality was 84.9%, paranoia abnormality was 86.9%, psychotic abnormalities was 89.0%, and abnormal sleeping and eating status was 90.8%. The scores of various psychological symptoms of pediatric resident physicians were significantly lower than those of non-pediatrics.ConclusionThe new coronavirus epidemic has a greater impact on the mental health of Chinese resident physicians. (shrink)

Eye-tracking technology has become a powerful tool for biomedical-related applications due to its simplicity of operation and low requirements on patient language skills. This study aims to use the machine-learning models and deep-learning networks to identify key features of eye movements in Alzheimer's Disease (AD) under specific visual tasks, thereby facilitating computer-aided diagnosis of AD. Firstly, a three-dimensional (3D) visuospatial memory task is designed to provide participants with visual stimuli while their eye-movement data are recorded and used to build an (...) eye-tracking dataset. Then, we propose a novel deep-learning-based model for identifying patients with Alzheimer's Disease (PwAD) and healthy controls (HCs) based on the collected eye-movement data. The proposed model utilizes a nested autoencoder network to extract the eye-movement features from the generated fixation heatmaps and a weight adaptive network layer for the feature fusion, which can preserve as much useful information as possible for the final binary classification. To fully verify the performance of the proposed model, we also design two types of models based on traditional machine-learning and typical deep-learning for comparison. Furthermore, we have also done ablation experiments to verify the effectiveness of each module of the proposed network. Finally, these models are evaluated by four-fold cross-validation on the built eye-tracking dataset. The proposed model shows 85% average accuracy in AD recognition, outperforming machine-learning methods and other typical deep-learning networks. (shrink)

With the growing amount of clinical research, regulations and research ethics are becoming more stringent. This trend introduces a need for quality assurance measures for ensuring adherence to research ethics and human research protection beyond Institutional Review Board approval. Audits, one of the most effective tools for assessing quality assurance, are measures used to evaluate Good Clinical Practice and protocol compliance in clinical research. However, they are laborious, time consuming, and require expertise. Therefore, we developed a simple auditing process and (...) evaluated its feasibility and effectiveness. The screening audit was developed using a routine audit checklist based on the Severance Hospital’s Human Research Protection Program policies and procedures. The measure includes 20 questions, and results are summarized in five categories of audit findings. We analyzed 462 studies that were reviewed by the Severance Hospital Human Research Protection Center between 2013 and 2017. We retrospectively analyzed research characteristics, reply rate, audit findings, associated factors and post-screening audit compliance, etc. Investigator reply rates gradually increased, except for the first year. The studies were graded as “critical,” “major,” “minor,” and “not a finding”, based on findings and number of deficiencies. The auditors’ decisions showed fair agreement with weighted kappa values of 0.316, 0.339, and 0.373. Low-risk level studies, single center studies, and non-phase clinical research showed more prevalent frequencies of being “major” or “critical”. Inappropriateness of documents, failure to obtain informed consent, inappropriateness of informed consent process, and failure to protect participants’ personal information were associated with higher audit grade. We were able to observe critical GCP violations in the routine internal audit results of post-screening audit compliance checks in “non-responding” and “critical” studies upon applying the screening audit. Our screening audit is a simple and effective way to assess overall GCP compliance by institutions and to ensure medical ethics. The tool also provides useful selection criteria for conducting routine audits. (shrink)

General intelligence is largely based on two distinguishable mental abilities: crystallized intelligence (gC) and fluid reasoning ability (gF). The target article authors' P-FIT model emphasizes a network of regions throughout the brain as the neural basis for fluid reasoning and/or working memory. However, it provides little significant insight into the neural basis of gC, or how or why gC is more stable than gF across the life span.

Background: We described the prevalence of anxiety and depression related to COVID-19 pandemic among different types of population and examined their potential risk factors.Methods: A cross-sectional survey was conducted to collect demographic characteristics, exposure histories, and many other concerns about COVID-19. The Zung's self-rating anxiety scale and self-rating depression scale, followed by a four-step multiple logistic regression analysis was performed to identify factors associated with mental health outcomes.Results: Out of 3,303 participants, the quarantined people, community workstation staffs-policemen-volunteers and general public (...) reported higher percentages of depression than the general medical staff. Moreover, the quarantined people also showed higher prevalence of anxiety than the general public and the general medical staff. The quarantined people had the highest risk of anxiety and depression, whereas the self-rated health was negatively associated with the risks of anxiety and depression. Younger age group showed higher risks of anxiety and depression. People who had exposure history or contact from Hubei province after December 1, 2019, had family or friends engaged in front-line health care work, had confirmed case nearby were all more likely to suffer from anxiety. Moreover, the negligence or overindulgence toward the epidemic information was associated with a higher risk of depression and anxiety.Conclusions: Our findings show that the CPV and quarantined people were most at-risk population. We have identified that the young people, people with exposure histories and negligence or overindulgence toward epidemic information are in grave need of attention. (shrink)

BackgroundThe prognosis of hypertensive intracerebral hemorrhage is poor at high altitudes. The objective of this study was to explore whether hyperbaric oxygen can improve the results of computed tomography perfusion imaging and the neurological function of patients with HICH, and influence the hemoglobin concentration.MethodThe patients with HICH were treated with puncture and drainage. Twenty-one patients were treated with HBO after the operation, and the other patients received conventional treatment. CTP was performed twice, and all indices were measured. Scatter plots were (...) used to determine the effect of hemoglobin concentration on CTP imaging. Receiver operating characteristic curves were plotted to analyze the effects of hemoglobin concentration and hematoma volume on recovery results. The patients were followed up for 6 months.ResultsForty-one patients with HICH were treated with puncture and drainage. In total, 21 were treated with HBO after the operation, and 20 received conventional treatment as the control group. No significant differences in the CBV and CBF values of the two groups were noted before treatment. After 10 days, the values of CBV and CBF in the HBO group were significantly higher than those in the control group. A scatter diagram showed there was no significant in the HBO group, but significant correlation for the CBV and CBF values in the control group’s hematoma center and margin. The ROC curves showed that hematoma volume had an influence on prognosis of the control group. The Glasgow Coma Scale scores of the HBO group were significantly higher than those of the control group.ConclusionsHBO therapy can improve the postoperative CBV and CBF values of patients with HICH and ameliorate their prognoses. There was no significant correlation between HBO group and hemoglobin concentration on admission. (shrink)

英文题名:The critic philosophy and hermeneutic philosophy.

本书受教育部2004年哲学社会科学研究重大课题攻关项目“当代科学哲学的发展趋势研究”(04JZD0004)、国家社会科学基金项目“测量难题的模态解释——量子力学前沿中的哲学问题”(05CZX008)和 教育部人文社会科学重点研究基地——山西大学科学技术哲学研究中心基金资助.

The lack of a standardized reliable and valid instrument makes it difficult to measure attitudes toward lesbian women and gay men consistently and thus poses a challenge to compare and contrast intervention measures. This study aimed to validate Herek’s ATLG scale among undergraduates in mainland China and identify factors associated with negative attitudes toward LG. A total of 6,036 eligible undergraduates conveniently drawn from 30 provinces across mainland China were randomly split in half. Item analysis was first used to select (...) unrelated or redundant items for deletion. Exploratory factor analysis were then conducted on the first half of the sample, followed by confirmatory factor analysis and reliability analysis in the second half. Logistic regression analyses were finally carried out to identify their determinants. Six items were removed from the item analysis. EFA supported the existence of two factors. CFA results indicated that the two-factor model fit the data better than the one-factor model. Logistic regression analyses indicated that being female, majoring in non-health-related disciplines, attributing homosexuality to uncontrollable causes, non-adherence to traditional gender norms and exposure to homosexual content were significantly associated with less negative attitudes toward both L and G. Urban students were marginally less likely to express negative attitudes toward L but not G, while non-heterosexuals and those who had prior personal contact with homosexuals exhibited less negative attitudes toward G but not L. However, grade showed no significant associations with either ATL or ATG. The retained 14-item version of Herek’s ATLG scale has been proven to be a reliable and valid tool. Furthermore, ATL and ATG were determined by different factors and thus would be treated separately. In order to reduce negative attitudes toward LG among undergraduates in mainland China, a comprehensive intervention plan such as conducting comprehensive sex education and pushing the process of legalizing same-sex marriage should be designed, implemented and evaluated. (shrink)

With the rapid development of Internet of Things technology, RFID technology has been widely used in various fields. In order to optimize the RFID system hardware deployment strategy and improve the deployment efficiency, the prediction of the RFID system identification rate has become a new challenge. In this paper, a neighborhood rough set and random forest combination model is proposed to predict the identification rate of an RFID system. Firstly, the initial influencing factors of the RFID system identification rate are (...) reduced using neighborhood rough set theory combined with the principle of heuristic attribute reduction of neighborhood weighted dependency, thus obtaining a kernel factor subset. Secondly, a random forest prediction model is established based on the kernel factor subset, and a confusion matrix is established using out-of-bag data to evaluate the prediction results. The test is conducted under the constructed RFID experimental environment, whose results showed that the model can predict the identification rate of the RFID system in a fast and efficient way, and the classification accuracy can reach 90.5%. It can effectively guide the hardware deployment and communication parameter protocol setting of the system and improve the system performance. Compared with BP neural network and other prediction models, NRS-RF has shorter prediction time and faster calculation speed. Finally, the validity of the proposed model was verified by the RFID intelligent archives management platform. (shrink)

Transgender women experience serious psychiatric problems and high suicide rates. According to the interpersonal theory of suicide, thwarted belongingness and perceived burdensomeness play major roles in suicidality and can be measured by the Interpersonal Needs Questionnaire. However, no study has validated the use of the INQ in TGW. This study aimed to examine the psychometric properties of the INQ among TGW. We recruited 198 TGW from Shenyang, China, using snowball sampling. The construct validity of the INQ was assessed through factor (...) analysis, and convergent and divergent validity were examined through a structural equation model with other psychosocial factors. The construct validation analysis supported a three-factor model with satisfactory fit indices: χ2/df = 1.54, RMSEA = 0.052, CFI = 0.931, TLI = 0.916, SRMR = 0.053. The thwarted belongingness was significantly associated with self-esteem and social support, and the social exclusion was significantly associated with loneliness, depression, entrapment, and defeat, suggesting satisfactory convergent and divergent validity for the three-factor model. The present findings indicate that for TGW, high social exclusion is important in assessing perceived interpersonal needs, while the notable deviation from previous two-factor model warrants further study. (shrink)

The two-dimensional coupled map lattice model has been extensively employed as the basis component for designing various schemes in the cryptography system due to its complicated chaotic dynamic behavior. In this study, we analyze the chaotic characteristics of the 2D CML model, such as the Lyapunov exponent, synchronization stability, bifurcation, and ergodicity. We then show that the chaotic sequences generated by the 2D CML model are random according to the NIST testing. Furthermore, we propose an image encryption scheme based on (...) the 2D CML model and Singular Value Decomposition. In our scheme, the SVD method is used to reduce the image storage, and the Red, Green, and Blue channels of a color image will be encrypted through confusion and diffusion. The simulation results, as well as the results of the comparison with other schemes, demonstrate that our scheme possesses outstanding statistics, excellent encryption performance, and high security. It has great potential for ensuring the security of digital images in real applications. (shrink)

In order to manage the electricity consumption information of microgrid users, the reliability of electricity information collection is studied in this paper. The normal communication between the acquisition terminal and the smart meter is a key factor affecting the accurate collection of power information; it is the basis for ensuring the operation of the microgrid as well. In order to improve the reliability of the low power line communication between the acquisition terminal and smart meters, this article first uses the (...) static networking method to layer the smart meters and select relays from them and then select the optimal communication path based on integrating communication quality and relay forwarding number dynamically, which could avoid the signal conflict problem caused by simultaneous communication. Finally, by analyzing the influence of the time-varying power line channel on the smart meter communication, a method based on the integrated communication quality and the relay number to consider the time variability of low power line communication is proposed. Choosing the optimal path of the smart meters when the communication path is abnormal can not only establish a new communication path for communication in time, but also avoid communication failures caused by the time-varying channel. Through MATLAB simulation, the time-varying dynamic network of the power line channel is introduced in this paper, which improves the reliability of the smart meter communication and has certain guiding significance for the actual smart meter network construction in microgrid. (shrink)