Background:Doctors should disclose the diagnosis to patients according to the principle of autonomy. However, not disclosing the diagnosis and prognosis to cancer patients remains common in mainland China.Objective:The study explored the experiences and attitudes of patients with cancer, family members, and the medical staff in truth-telling.Research design:A quantitative survey with three closed-ended questionnaires was conducted.Participants:In all, 137 patients with cancer, 134 family members caring for cancer cases, and 54 medical staff were surveyed. Descriptive statistics were used to summarize all characteristics, (...) and the chi-square test was performed to analyze group differences in attitudes toward cancer disclosure.Ethical considerations:This study was approved by the Committee on Ethics of Biomedicine Research, at the Second Military Medical University (HJEC-2018-YF-001). Informed consent was obtained from all participants prior to study commencement.Findings:A total of 59.8% of patients were informed about their diagnosis within 1 week, and 19.7% inferred theirs. The medical staff preferred to prioritize family members in informing about patient diagnosis while 77.4% of patients preferred to be told the whole truth at the time of initial diagnosis. More patients than family members and medical staff wanted the patients to be informed about the diagnosis ( p < 0.001). A significant difference was found between the patients and family members regarding who should tell the patients.Discussion:The willingness of patients in knowing the truth was underestimated by their family members as well as the medical staff. Guessing the truth indirectly may exert negative effects on the patients, and not telling the truth is inappropriate in patients who want to be informed.Conclusion:Disclosure of a cancer diagnosis is a complex process involving medical practice, as well as a range of cultural, ethical, and legal factors. The medical staff should first assess each patient’s willingness in truth-telling and inform about disease diagnosis with respect. Emotional support and comfort from family members are encouraged. Anyone in the patient’s care team, especially nurses, could be integrated in the process of truth-telling. (shrink)

In the contextual cueing task, visual search is faster for targets embedded in invariant displays compared to targets found in variant displays. However, it has been repeatedly shown that participants do not learn repeated contexts when these are irrelevant to the task. One potential explanation lays in the idea of associative blocking, where salient cues block the learning of invariant associations in the task-irrelevant subset of items. An alternative explanation is that the associative blocking rather hinders the allocation of attention (...) to task-irrelevant subsets, but not the learning per se. The current work examined these two explanations. In two experiments, participants performed a visual search task under a rapid presentation condition in Experiment 1, or under a longer presentation condition in Experiment 2. In both experiments, the search items within both old and new displays were presented in two colors which defined the irrelevant and task-relevant items within each display. The participants were asked to search for the target in the relevant subset in the learning phase. In the transfer phase, the instructions were reversed and task-irrelevant items became task-relevant. In line with previous studies, the search of task-irrelevant subsets resulted in no cueing effect post-transfer in the longer presentation condition; however, a reliable cueing effect was generated by task-irrelevant subsets learned under the rapid presentation. These results demonstrate that under rapid display presentation, global attentional selection leads to global context learning. However, under a longer display presentation, global attention is blocked, leading to the exclusive learning of invariant relevant items in the learning session. (shrink)

Electroencephalography is the measurement of neuronal activity in different areas of the brain through the use of electrodes. As EEG signal technology has matured over the years, it has been applied in various methods to EEG emotion recognition, most significantly including the use of convolutional neural network. However, these methods are still not ideal, and shortcomings have been found in the results of some models of EEG feature extraction and classification. In this study, two CNN models were selected for the (...) extraction and classification of preprocessed data, namely, common spatial patterns- CNN and wavelet transform- CNN. Using the CSP-CNN, we first used the common space model to reduce dimensionality and then applied the CNN directly to extract and classify the features of the EEG; while, with the WT-CNN model, we used the wavelet transform to extract EEG features, thereafter applying the CNN for classification. The EEG classification results of these two classification models were subsequently analyzed and compared, with the average classification accuracy of the CSP-CNN model found to be 80.56%, and the average classification accuracy of the WT-CNN model measured to 86.90%. Thus, the findings of this study show that the average classification accuracy of the WT-CNN model was 6.34% higher than that of the CSP-CNN. (shrink)

The electroencephalogram is the most common method used to study emotions and capture electrical brain activity changes. Long short-term memory processes the temporal characteristics of data and is mostly used for emotional text and speech recognition. Since an EEG involves a time series signal, this article mainly studied the introduction of LSTM for emotional EEG recognition. First, an ALL-LSTM model with a four-layered LSTM network was established in which the average accuracy rate for emotional classification reached 86.48%. Second, four EEG (...) characteristics were extracted via the wavelet transform using the LSTM-based sentiment classification network. The experimental results showed that the best average classification accuracy of these four features was 73.48%. This was 13% lower than in the ALL-LSTM model, indicating that inappropriate feature extraction methods could destroy the timing of EEG signals. LSTM can be used to thoroughly examine EEG signal timing and preprocessed EEG data. The accuracy and stability of the ALL-LSTM model are significantly superior to those of the WT-LSTM model. The result showed that the process of emotion generation based on EEG is sequential. Compared with EEG emotion extraction using WT, the raw EEG signal’s timing is more suitable for the LSTM network. (shrink)

Understanding and solving the psychological health problems of college students have become a focus of social attention. Complex networks have become important tools to study the factors affecting psychological health, and the Gaussian graphical model is often used to estimate psychological networks. However, previous studies leave some gaps to overcome, including the following aspects. When studying networks of subpopulations, the estimation neglects the intrinsic relationships among subpopulations, leading to a large difference between the estimated network and the real network. Because (...) of the high cost, previous psychological surveys often have a small sample size, and the psychological description is insufficient. Here, the intrinsic connections among multiple tasks are used, and multitask machine learning is applied to develop a multitask Gaussian graphical model. The psychological networks of the population and subpopulations are estimated based on psychological questionnaire data. This study is the first to apply a psychological network to such a large-scale college student psychological analysis, and we obtain some interesting results. The model presented here is a dynamic model based on complex networks which predicts individual behavior and provides insight into the intrinsic links among various symptoms. (shrink)

本书内容包括:宗教理论与历史一般;中国宗教的起源;中国宗教的成型;道教、佛教、儒教及民间宗教;中国宗教之基本类型与本质特征;中国宗教与巫术的关系;中国宗教与伦理的关系;作为参照的亚伯拉罕宗教系统.

《墨子》是研究先秦墨家学派及其创始人墨翟思想的重要著作,内容主要记载墨翟的言论和政治活动,还有一部分为后期墨家著作。本书对其作了校注和标点。.

本书共十一章,内容包括:儒学教化及历史演变;儒家教化逻辑起点:人;儒家教化的理论基础:人性论;儒家教化的核心观念:仁义;儒家教化社会价值旨归:秩序与和谐;儒家教化实施正式组织等.

本书中一本理论取向的教科书,该书对当代比较政治学的基本理论和概念进行了全面而严谨的检视和批判。.

本书主要内容包括:经典力学和经典物理学的神圣庙堂;不识庐山真面目,只缘身在些山中;把经典力学的基本概念从奥林帕斯山上拉下来;危机是革命的前夜;爱因斯坦开拓奇妙的新世界;历史是一面最好的镜子等.

本书主要内容是试图在完全遵从经典作家本意基础上,通过深入挖掘,创新,发展唯物史观中的原理,力图找到一种对广大人民群众而言最喜闻乐见而又最能贯彻经典作家本来意图的理论诠释,同时对长期附加在马克思主义原理 上的种种似是而非的错误观念进行拨乱反正,正本清源.并在此基础上对老百姓最为关心的社会领域中的各种社会现象,社会问题加以合情合理解释.重点是运用创新发展了的唯物史观理论对中西方在各个社会领域中的价值观加 以对比分析,揭示其中的产生根源,使广大读者特别是广大青年学生正确理解中西方的种种差异,深入理解中西方文化产生的自然环境,人文背景,社会根源以及各自的优缺点,正确对待老祖宗留给我们的文化遗产,杜绝各种历 史虚无主义思潮的干扰,避免陷入种种厚西薄中的错误观念.