The high-quality workspace can be used as a physical carrier for design innovation and entrepreneurial organizational culture to continuously change the psychological cognition and behavior of employees in community of practice. The spatial narrative of the culture of design innovation and entrepreneurial organizations means to integrate entrepreneurship and organizational culture into the space through visual presentation. Whether the spatial narrative is successful or not needs to be judged by whether the change of people’s psychological cognition achieves the expected effect. The (...) traditional qualitative research methods such as interviews and questionnaires cannot fully and accurately present the psychological cognitive mechanism of design Innovation and entrepreneurship organization members. We use virtual reality technology combined with electrophysiological technology to conduct experiments. We use these technologies to conduct quantitative experiments on psychological cognition in community of practice. This study will select a design innovation and entrepreneurial organization, randomly select 20 participants, and divide them into 2 groups for experimentation. The VR scene is based on their real office space as a prototype. Put the visual elements of corporate culture in one of the VR scenes. The other VR scene as a reference does not incorporate visual elements of organizational culture. Participants participated in the experiment in these two VR scenarios. There are many advanced devices that can accurately test individual psychological changes, but the ErgoLab man-machine environment test platform, can collect and compare these data [physiological data, electroencephalogram data, and behavior data] in real-time and comprehensively, which is its advantage. According to the experimental results, judge the changes in the psychological cognitive data of the participants before and after the placement of the spatial narrative in design innovation and entrepreneurial organizations. The experiment combined interviews and questionnaires to ensure the authenticity of the quantitative data. The conclusion of the experiment will produce an accurate quantitative study on the psychological cognition of the spatial narrative of design innovation and entrepreneurial organizational culture. A sense of organizational belonging, collective sense, pride, mission, and work fun can be generated in the workspace. (shrink)

Public education in museums has the interdisciplinary nature of STEAM education contemporary learning. In the contemporary learning process of the public, digital museums can rely on mobile terminals to provide people with opportunities for mobile learning. Especially since the global outbreak of COVID-19, many offline museums have been forced to close their doors or impose restrictions. How to use digital museums to better carry out the learning experience of visitors is a problem worthy of attention. Effective dissemination of visual information (...) can help digital museums conduct educational activities more efficiently. The purpose of this study was to explore a research method for visual evaluation of visitors’ learning experiences in digital museums. The visual evaluation of visitors in the digital museum learning experience involves the layout of exhibition content, the form of exhibition space, and the way of display of exhibits. Through eye-tracking engineering experiments, we obtain and analyze the visual data of visitors during the educational experience of the digital museum to form an accurate evaluation. This method can be used to assess the visual satisfaction of visitors with the educational experience of a digital museum in mobile learning. This kind of evaluation research can provide strong data support and design optimization direction guidance for the development of digital museum public education. (shrink)

Immunology researchers are beginning to explore the possibilities of reproducibility, reuse and secondary analyses of immunology data. Open-access datasets are being applied in the validation of the methods used in the original studies, leveraging studies for meta-analysis, or generating new hypotheses. To promote these goals, the ImmPort data repository was created for the broader research community to explore the wide spectrum of clinical and basic research data and associated findings. The ImmPort ecosystem consists of four components–Private Data, Shared Data, Data (...) Analysis, and Resources—for data archiving, dissemination, analyses, and reuse. To date, more than 300 studies have been made freely available through the ImmPort Shared Data portal , which allows research data to be repurposed to accelerate the translation of new insights into discoveries. (shrink)

Background Ethical considerations play a prominent role in the protection of human subjects in clinical research. To date the disclosure of ethical protection in clinical research published in the international nursing journals has not been explored. Our research objective was to investigate the reporting of ethical approval and informed consent in clinical research published in leading international nursing journals. Methods This is a retrospective observational study. All clinical research published in the five leading international nursing journals from the SCI Journal (...) Citation Reports between 2015 and 2017 were retrieved to evaluate for evidence of ethical review. Results A total of 2041 citations have been identified from the contents of all the five leading nursing journals that were published between 2015 and 2017. Out of these, 1284 clinical studies have been included and text relating to ethical review has been extracted. From these, most of prospective clinical studies discussed informed consent. Only half of those reported that written informed consent had been obtained; few reported oral consent, and few used other methods such as online consent or completion and return of data collection to denote assent. Notably, 36.2% of those did not describe the method used to obtain informed consent and merely described that “consent was obtained from participants or participants agreed to join in the research”. Furthermore, whilst most of clinical studies mentioned ethical approval; 92.5% of those stated the name of ethical committee and interestingly, only 37.1% of those mentioned the ethical approval reference. The rates of reporting ethical approval were different between different study type, country, and whether financial support was received. Conclusion The reporting of ethics in leading international nursing journals demonstrates progress, but improvement of the transparency and the standard of ethical reporting in nursing clinical research is required. (shrink)

Critical evaluation of Śaṅkarapādabhūṣaṇam of Raghunāthasūri, presenting Advaita point of view against the Dvaita school in Hindu philosophy.

Objectives: To investigate the current situation of completing the informed consent for do-not-resuscitate (DNR) orders among the competent patients with terminal illness and the ethical dilemmas related to it. Participants: This study enrolled 152 competent patients with terminal cancer, who were involved in the initial consultations for hospice care. Analysis: Comparisons of means, analyses of variance, Student’s t test, χ2 test and multiple logistic regression models. Results: After the consultations, 117 (77.0%) of the 152 patients provided informed consent for hospice (...) care and DNR orders. These included 21 patients (17.9%) who signed the consent by themselves, and 96 (82.1%) whose consent sheet was signed only by family members. The reasons why patients were not involved in the discussions toward the consent (n = 82) included poor physical or psychological condition (44.9%), concerns of the consultant hospice team (37.2%), and the family’s refusal (28.2%). On a multivariate analysis, patients’ awareness of their poor prognosis (odds ratio = 4.07, 95% confidence interval = 2.05 to 8.07) and their understanding of hospice care (2.27, 1.33 to 3.89) were two independent factors (p<0.01) that influenced their participation in the discussions or their personal signature in the informed consent. Conclusion: The family-oriented culture in Asian countries may violate the principles of the Patient Self-Determination Act and the requirements of the Hospice Care Law in Taiwan, which inevitably poses an ethical dilemma. Earlier truth-telling and continuing education of the public by hospice care workers will be helpful in solving such ethical dilemmas. (shrink)

Labels provide a quick and effective solution to obtain people interesting content from large-scale social network information. The current interest label extraction method based on the subgraph stream proves the feasibility of the subgraph stream for user label extraction. However, it is extremely time-consuming for constructing subgraphs. As an effective mathematical method to deal with fuzzy and uncertain information, rough set-based representations for subgraph stream construction are capable of capturing the uncertainties of the social network. Therefore, we propose an effective (...) approach called RS_UNITE_SS, which is suitable for large-scale social network user interest label extraction. Specifically, we first propose the subgraph division algorithm to construct a subgraph stream by incorporating a rough set. Then, the algorithm for user real-time interest label extraction based on upper approximation is proposed by using sequentially characteristics of the subgraph. Empirically, we evaluate RS_UNITE_SS over real-world datasets, and experimental results demonstrate that our proposed approach is more computationally efficient than existing methods while achieving higher precision value and MRR value. (shrink)

The innovation of the deep learning modeling scheme plays an important role in promoting the research of complex problems handled with artificial intelligence in smart cities and the development of the next generation of information technology. With the widespread use of smart interactive devices and systems, the exponential growth of data volume and the complex modeling requirements increase the difficulty of deep learning modeling, and the classical centralized deep learning modeling scheme has encountered bottlenecks in the improvement of model performance (...) and the diversification of smart application scenarios. The parallel processing system in deep learning links the virtual information space with the physical world, although the distributed deep learning research has become a crucial concern with its unique advantages in training efficiency, and improving the availability of trained models and preventing privacy disclosure are still the main challenges faced by related research. To address these above issues in distributed deep learning, this research developed a clonal selective optimization system based on the federated learning framework for the model training process involving large-scale data. This system adopts the heuristic clonal selective strategy in local model optimization and optimizes the effect of federated training. First of all, this process enhances the adaptability and robustness of the federated learning scheme and improves the modeling performance and training efficiency. Furthermore, this research attempts to improve the privacy security defense capability of the federated learning scheme for big data through differential privacy preprocessing. The simulation results show that the proposed clonal selection optimization system based on federated learning has significant optimization ability on model basic performance, stability, and privacy. (shrink)

Online health communities have enjoyed increasing popularity in recent years, especially in the context of the COVID-19 pandemic. However, several concerns have been raised regarding the privacy of users’ personal information in OHCs. Considering that OHCs are a type of data-sharing or data-driven platform, it is crucial to determine whether users’ health information privacy concerns influence their behaviors in OHCs. Thus, by conducting a survey, this study explores the impact of users’ health information privacy concerns on their engagement and payment (...) behavior in OHCs. The empirical results show that users’ concerns about health information privacy reduce their Paid in OHCs by negatively influencing their OHC engagement. Further analysis reveals that if users have higher benefit appraisals and lower threat appraisals, the negative effect of health information privacy concerns on users’ OHC engagement will decrease. (shrink)

With the expansion of the digital business line, the network flow behind the digital power grid is also exploding. To prevent network congestion, this article proposes a novel network flow forecasting model, which is composed of variational mode decomposition, GRU-xgboost block, and a forecasting adjustment block, to grasp the changing patterns and trends of network flow in advance, and to formulate reasonable and effective flow management strategies and meet the requirements of users for network service quality. The network flow series (...) in power grid enterprise always contain complex patterns and outliers, and VMD is applied to adaptively process complex net flow time series into several subseries with simpler patterns. A GRU-xgboost block is designed to reconstruct the features of historical series. Then, xgboost model is applied to generate predictions for all decomposed subsignals. For the final predictions, we design a forecasting adjustment block to further remove the influence of random noise. Finally, the empirical results show the superior performance of the proposed model on network flow forecasting task. (shrink)

BackgroundSolution-focused model is an intervention method that fully mobilizes patients’ initiative through their potential. We aimed to investigate the effects of SFM on anxiety and postpartum depression in nulliparous pregnant women compared with routine care services.MethodsWe chose the mothers diagnosed as depressed or with depressive tendency by Edinburgh Postpartum Depression Scale at 28 weeks of gestation and divided them into the intervention and control groups. The control group only took the routine pregnancy healthy nursing, while the SFM group took the (...) regular nursing and SFM counselling. Different assessments were conducted at 28 weeks of gestation, post-delivery, and post-intervention to evaluate the anxiety and depression levels of the patients. Finally, nursing satisfaction was evaluated by the nursing satisfaction questionnaire.ResultsCompared with the control group, SFM could decrease the scores of anxiety and depression more effectively and influence sleep quality more positively. We also found that SFM resulted in significantly higher nursing satisfaction than that in the control group.ConclusionIn conclusion, SFM could effectively alleviate anxiety and PPD in nulliparous pregnant women. (shrink)

Road link speed is one of the important indicators for traffic states. In order to incorporate the spatiotemporal dynamics and correlation characteristics of road links into speed prediction, this paper proposes a method based on LDA and GCN. First, we construct a trajectory dataset from map-matched GPS location data of taxis. Then, we use the LDA algorithm to extract the semantic function vectors of urban zones and quantify the spatial dynamic characteristics of road links based on taxi trajectories. Finally, we (...) add semantic function vectors to the dataset and train a graph convolutional network to learn the spatial and temporal dependencies of road links. The learned model is used to predict the future speed of road links. The proposed method is compared with six baseline models on the same dataset generated by GPS equipped on taxis in Shenzhen, China, and the results show that our method has better prediction performance when semantic zoning information is added. Both composite and single-valued semantic zoning information can improve the performance of graph convolutional networks by 6.46% and 8.35%, respectively, while the baseline machine learning models work only for single-valued semantic zoning information on the experimental dataset. (shrink)

System security is essential for the operation of the island microgrid. However, the system security is generally threatened due to the presence of physical uncertainties and cyber attacks. In this article, a novel sliding mode load control strategy is proposed for the microgrid to mitigate cyber attacks and physical uncertainties. Firstly, a high-order disturbance observer is designed to estimate the unmeasurable factors in the microgrid. Secondly, a HODO-based sliding mode control strategy is proposed where the estimated value observed by the (...) HODO is applied to the sliding mode surface and control law. It can better guarantee the security of the isolated microgrid. Then, the stability of the HODO-based SMC is demonstrated by Lyapunov stability theory. Finally, simulation results show that the proposed control strategy has excellent control performance. (shrink)

Adaptive dynamic programming, which belongs to the field of computational intelligence, is a powerful tool to address optimal control problems. To overcome the bottleneck of solving Hamilton–Jacobi–Bellman equations, several state-of-the-art ADP approaches are reviewed in this paper. First, two model-based offline iterative ADP methods including policy iteration and value iteration are given, and their respective advantages and shortcomings are discussed in detail. Second, the multistep heuristic dynamic programming method is introduced, which avoids the requirement of initial admissible control and achieves (...) fast convergence. This method successfully utilizes the advantages of PI and VI and overcomes their drawbacks at the same time. Finally, the discrete-time optimal control strategy is tested on a power system. (shrink)

This chapter contains section titled: Literary Revolution and its Meaning The Naturalistic Conception of the Universe and the Experimentalist Method History of Chinese Philosophy and Systematizing the National Heritage Political Philosophy and Liberalism Hu Shi as an Enlightenment Philosopher.

di yi juan. Wen yi mei xue -- di er juan. Zhongguo gu dian wen yi xue -- di san juan. Bi jiao wen yi xue --di si juan. Wen hua mei xue -- di wu juan. Mei de zhui xun.

The COVID-19 pandemic has had a profound psychological and behavioral impact on people around the world. Consumer purchase behaviors have thus changed greatly, and consumer services companies need to adjust their business models to adapt to this change. From the perspective of consumer psychology, this paper explores the impact of consumer purchase behavior changes over the course of the pandemic on the business model design of consumer services companies using a representative survey of 1,742 individuals. Our results show that changes (...) in consumer purchase behavior have a significant impact on the design of consumer services firms’ business models. Specifically, changes in consumers’ purchase object, motive, and timeframe are more likely to spark a novelty-centered business model design, whereas changes in purchase method tend to inspire an efficiency-centered one. Our findings provide a theoretical reference for consumer services companies in designing business models when faced with unexpected crises. (shrink)

On the qualities considered to be negative in a woman as per Islamic teachings.