Objective: To develop a best-evidence-based optimal nutrition management plan for patients with chronic heart failure, apply it in clinical practice, and evaluate its effectiveness. Methods: Use the KTA knowledge tran...Objective: To develop a best-evidence-based optimal nutrition management plan for patients with chronic heart failure, apply it in clinical practice, and evaluate its effectiveness. Methods: Use the KTA knowledge translation model to guide evidence-based practice in nutrition management, and compare the nutritional status, cardiac function status, quality of life, and quality review indicators of chronic heart failure patients before and after the application of evidence. Results: After the application of evidence, the nutritional status indicators (MNA-SF score, albumin, hemoglobin) of two groups of heart failure patients significantly increased compared to before the application of evidence, with statistically significant differences (p Conclusion: The KTA knowledge translation model provides methodological guidance for the implementation of evidence-based practice for heart failure patients. This evidence-based practice project is beneficial for improving the outcomes of malnutrition in chronic heart failure patients and is conducive to standardizing nursing pathways, thereby promoting the improvement of nursing quality.展开更多
In examining the historical changes in cognitive psychology from 1895 to 1949, it is necessary to transform cognitive psychology into cognitive practice. In the late Qing and early Republic era(1895-1919), cognitive p...In examining the historical changes in cognitive psychology from 1895 to 1949, it is necessary to transform cognitive psychology into cognitive practice. In the late Qing and early Republic era(1895-1919), cognitive practice mainly appeared as the cognition of the sick at heart. Against the background of the late Qing importation of Western learning aimed at securing national salvation, the intellectual class, represented by Tan Sitong,hastily dressed the wound to the traditional Chinese learning of Heaven and man inflicted by late nineteenth century scientific knowledge from Europe and America. They regarded cognition as the understanding gained in the practice of self-cultivation, as affording man a spiritual resting place between Heaven and Earth. By the time of the Republic of China(1920-1949), the main form of cognitive practice had become ghostly cognition.Under the banner of saving the country by means of science, higher education researchers,represented by Lu Zhiwei, explored cognition with the help of such intermediaries as physiological mechanisms and language structure. Men could easily become ghosts trapped in intermediaries when they plunged into the conceptual world in search of truth,as their cognitive practice evolved into the conceptual grasp of ghosts. This ghostly cognition continued into later information processing psychology and was disseminated among the mass of the public. A deeper level of the cognition of the sick at heart remains for future study, on the lengthy road home.展开更多
Transfer learning algorithms can transform prior knowledge into linearization knowledge to model nonlinear systems.However,the linearization knowledge-based models tend to diverge in the process of knowledge lineariza...Transfer learning algorithms can transform prior knowledge into linearization knowledge to model nonlinear systems.However,the linearization knowledge-based models tend to diverge in the process of knowledge linearization due to the neglected information of higher-order terms.To overcome this problem,a second-order knowledge filter transfer learning algorithm(SOFTLA)is developed for modeling nonlinear systems.First,a knowledge transformation strategy is introduced to transform the linearization source knowledge into comprehensive knowledge containing first-order and second-order terms.Compared with the original knowledge,the transformed source knowledge with second-order term can prevent information loss during the knowledge linearization.Second,a knowledge filter algorithm is proposed to eliminate the useless information in the source knowledge.Subsequently,a suitable filter gain is designed to reduce the cumulative error in knowledge updating process.Third,a model adaptation mechanism is designed to enable effective knowledge transfer by updating the structure and parameters of the target model simultaneously.Subsequently,the adaptability of the source knowledge is enhanced to facilitate learning tasks in the target domain.Finally,a benchmark problem and several practical industrial applications are presented to validate the superiority of SOFTLA.The experimental discussions illustrate that SOFTLA can obtain obvious advantages over contrastive methods.展开更多
Chinese medicine(CM)diagnosis intellectualization is one of the hotspots in the research of CM modernization.The traditional CM intelligent diagnosis models transform the CM diagnosis issues into classification issues...Chinese medicine(CM)diagnosis intellectualization is one of the hotspots in the research of CM modernization.The traditional CM intelligent diagnosis models transform the CM diagnosis issues into classification issues,however,it is difficult to solve the problems such as excessive or similar categories.With the development of natural language processing techniques,text generation technique has become increasingly mature.In this study,we aimed to establish the CM diagnosis generation model by transforming the CM diagnosis issues into text generation issues.The semantic context characteristic learning capacity was enhanced referring to Bidirectional Long Short-Term Memory(BILSTM)with Transformer as the backbone network.Meanwhile,the CM diagnosis generation model Knowledge Graph Enhanced Transformer(KGET)was established by introducing the knowledge in medical field to enhance the inferential capability.The KGET model was established based on 566 CM case texts,and was compared with the classic text generation models including Long Short-Term Memory sequence-to-sequence(LSTM-seq2seq),Bidirectional and Auto-Regression Transformer(BART),and Chinese Pre-trained Unbalanced Transformer(CPT),so as to analyze the model manifestations.Finally,the ablation experiments were performed to explore the influence of the optimized part on the KGET model.The results of Bilingual Evaluation Understudy(BLEU),Recall-Oriented Understudy for Gisting Evaluation 1(ROUGE1),ROUGE2 and Edit distance of KGET model were 45.85,73.93,54.59 and 7.12,respectively in this study.Compared with LSTM-seq2seq,BART and CPT models,the KGET model was higher in BLEU,ROUGE1 and ROUGE2 by 6.00–17.09,1.65–9.39 and 0.51–17.62,respectively,and lower in Edit distance by 0.47–3.21.The ablation experiment results revealed that introduction of BILSTM model and prior knowledge could significantly increase the model performance.Additionally,the manual assessment indicated that the CM diagnosis results of the KGET model used in this study were highly consistent with the practical diagnosis results.In conclusion,text generation technology can be effectively applied to CM diagnostic modeling.It can effectively avoid the problem of poor diagnostic performance caused by excessive and similar categories in traditional CM diagnostic classification models.CM diagnostic text generation technology has broad application prospects in the future.展开更多
In this article, I offer a provisional analysis of the philosophical semantics of“wisdom” in the thought of the New Confucian thinker Tang Junyi. I begin by providing some pointers concerning the concept of wisdom i...In this article, I offer a provisional analysis of the philosophical semantics of“wisdom” in the thought of the New Confucian thinker Tang Junyi. I begin by providing some pointers concerning the concept of wisdom in general and situating the discourse on wisdom in comparative philosophy in the context of the later Foucault＇s and Pierre Hadot＇s historical investigations into ancient Graeco-Roman philosophy as a mode of spiritual self-cultivation and self-transformation. In the remainder of the paper, I try to describe and think through what Foucault identifies as a “Cartesian moment,” in which self-knowledge becomes the ultimate precondition for the ethico-spiritual project of “caring for the self,” in Tang＇s approach of wisdom. In the course of my argument, I outline the complex relation between his vision of a renewed Confucian mode of religious practice on the one hand and his philosophical presuppositions conceming the transcendental status of subjectivity and the reflexivity of consciousness on the other.展开更多
文摘Objective: To develop a best-evidence-based optimal nutrition management plan for patients with chronic heart failure, apply it in clinical practice, and evaluate its effectiveness. Methods: Use the KTA knowledge translation model to guide evidence-based practice in nutrition management, and compare the nutritional status, cardiac function status, quality of life, and quality review indicators of chronic heart failure patients before and after the application of evidence. Results: After the application of evidence, the nutritional status indicators (MNA-SF score, albumin, hemoglobin) of two groups of heart failure patients significantly increased compared to before the application of evidence, with statistically significant differences (p Conclusion: The KTA knowledge translation model provides methodological guidance for the implementation of evidence-based practice for heart failure patients. This evidence-based practice project is beneficial for improving the outcomes of malnutrition in chronic heart failure patients and is conducive to standardizing nursing pathways, thereby promoting the improvement of nursing quality.
文摘In examining the historical changes in cognitive psychology from 1895 to 1949, it is necessary to transform cognitive psychology into cognitive practice. In the late Qing and early Republic era(1895-1919), cognitive practice mainly appeared as the cognition of the sick at heart. Against the background of the late Qing importation of Western learning aimed at securing national salvation, the intellectual class, represented by Tan Sitong,hastily dressed the wound to the traditional Chinese learning of Heaven and man inflicted by late nineteenth century scientific knowledge from Europe and America. They regarded cognition as the understanding gained in the practice of self-cultivation, as affording man a spiritual resting place between Heaven and Earth. By the time of the Republic of China(1920-1949), the main form of cognitive practice had become ghostly cognition.Under the banner of saving the country by means of science, higher education researchers,represented by Lu Zhiwei, explored cognition with the help of such intermediaries as physiological mechanisms and language structure. Men could easily become ghosts trapped in intermediaries when they plunged into the conceptual world in search of truth,as their cognitive practice evolved into the conceptual grasp of ghosts. This ghostly cognition continued into later information processing psychology and was disseminated among the mass of the public. A deeper level of the cognition of the sick at heart remains for future study, on the lengthy road home.
基金supported by the National Natural Science Foundation of China(Grant Nos.62125301,62021003,62103012)the National Key Research and Development Project(Grant No.2022YFB3305800-05)+1 种基金the Beijing Nova Program(Grant No.K7058000202402)Youth Beijing Scholar(Grant No.037).
文摘Transfer learning algorithms can transform prior knowledge into linearization knowledge to model nonlinear systems.However,the linearization knowledge-based models tend to diverge in the process of knowledge linearization due to the neglected information of higher-order terms.To overcome this problem,a second-order knowledge filter transfer learning algorithm(SOFTLA)is developed for modeling nonlinear systems.First,a knowledge transformation strategy is introduced to transform the linearization source knowledge into comprehensive knowledge containing first-order and second-order terms.Compared with the original knowledge,the transformed source knowledge with second-order term can prevent information loss during the knowledge linearization.Second,a knowledge filter algorithm is proposed to eliminate the useless information in the source knowledge.Subsequently,a suitable filter gain is designed to reduce the cumulative error in knowledge updating process.Third,a model adaptation mechanism is designed to enable effective knowledge transfer by updating the structure and parameters of the target model simultaneously.Subsequently,the adaptability of the source knowledge is enhanced to facilitate learning tasks in the target domain.Finally,a benchmark problem and several practical industrial applications are presented to validate the superiority of SOFTLA.The experimental discussions illustrate that SOFTLA can obtain obvious advantages over contrastive methods.
基金Supported by the National Natural Science Foundation of China(No.82174276 and 82074580)the Key Research and Development Program of Jiangsu Province(No.BE2022712)+2 种基金China Postdoctoral Foundation(No.2021M701674)Postdoctoral Research Program of Jiangsu Province(No.2021K457C)Qinglan Project of Jiangsu Universities 2021。
文摘Chinese medicine(CM)diagnosis intellectualization is one of the hotspots in the research of CM modernization.The traditional CM intelligent diagnosis models transform the CM diagnosis issues into classification issues,however,it is difficult to solve the problems such as excessive or similar categories.With the development of natural language processing techniques,text generation technique has become increasingly mature.In this study,we aimed to establish the CM diagnosis generation model by transforming the CM diagnosis issues into text generation issues.The semantic context characteristic learning capacity was enhanced referring to Bidirectional Long Short-Term Memory(BILSTM)with Transformer as the backbone network.Meanwhile,the CM diagnosis generation model Knowledge Graph Enhanced Transformer(KGET)was established by introducing the knowledge in medical field to enhance the inferential capability.The KGET model was established based on 566 CM case texts,and was compared with the classic text generation models including Long Short-Term Memory sequence-to-sequence(LSTM-seq2seq),Bidirectional and Auto-Regression Transformer(BART),and Chinese Pre-trained Unbalanced Transformer(CPT),so as to analyze the model manifestations.Finally,the ablation experiments were performed to explore the influence of the optimized part on the KGET model.The results of Bilingual Evaluation Understudy(BLEU),Recall-Oriented Understudy for Gisting Evaluation 1(ROUGE1),ROUGE2 and Edit distance of KGET model were 45.85,73.93,54.59 and 7.12,respectively in this study.Compared with LSTM-seq2seq,BART and CPT models,the KGET model was higher in BLEU,ROUGE1 and ROUGE2 by 6.00–17.09,1.65–9.39 and 0.51–17.62,respectively,and lower in Edit distance by 0.47–3.21.The ablation experiment results revealed that introduction of BILSTM model and prior knowledge could significantly increase the model performance.Additionally,the manual assessment indicated that the CM diagnosis results of the KGET model used in this study were highly consistent with the practical diagnosis results.In conclusion,text generation technology can be effectively applied to CM diagnostic modeling.It can effectively avoid the problem of poor diagnostic performance caused by excessive and similar categories in traditional CM diagnostic classification models.CM diagnostic text generation technology has broad application prospects in the future.
文摘In this article, I offer a provisional analysis of the philosophical semantics of“wisdom” in the thought of the New Confucian thinker Tang Junyi. I begin by providing some pointers concerning the concept of wisdom in general and situating the discourse on wisdom in comparative philosophy in the context of the later Foucault＇s and Pierre Hadot＇s historical investigations into ancient Graeco-Roman philosophy as a mode of spiritual self-cultivation and self-transformation. In the remainder of the paper, I try to describe and think through what Foucault identifies as a “Cartesian moment,” in which self-knowledge becomes the ultimate precondition for the ethico-spiritual project of “caring for the self,” in Tang＇s approach of wisdom. In the course of my argument, I outline the complex relation between his vision of a renewed Confucian mode of religious practice on the one hand and his philosophical presuppositions conceming the transcendental status of subjectivity and the reflexivity of consciousness on the other.
