Leveraging the Baidu Qianfan model platform,this paper designs and implements a highly efficient and accurate scoring system for subjective questions,focusing primarily on questions in the field of computer network te...Leveraging the Baidu Qianfan model platform,this paper designs and implements a highly efficient and accurate scoring system for subjective questions,focusing primarily on questions in the field of computer network technology.The system enhances the foundational model by utilizing Qianfan’s training tools and integrating advanced techniques,such as supervised fine-tuning.In the data preparation phase,a comprehensive collection of subjective data related to computer network technology is gathered,cleaned,and labeled.During model training and evaluation,optimal hyperparameters and tuning strategies are applied,resulting in a model capable of scoring with high accuracy.Evaluation results demonstrate that the proposed model performs well across multiple dimensions-content,expression,and development scores-yielding results comparable to those of manual scoring.展开更多
Intensive in-depth development of resources, centralized purchasing and gradually expand under the category of environment, this paper studies how to use information technology tools to construction quality supervisio...Intensive in-depth development of resources, centralized purchasing and gradually expand under the category of environment, this paper studies how to use information technology tools to construction quality supervision and management system that focuses on the quality of supervision and project management, quality control process management, quality monitoring statistics report management, platform management-related content in four areas. Through the construction quality supervision and management system, to better enhance the quality of electric power enterprise management level, to ensure that the material quality, quantity of time and supplies. strengthening quality supervision and management can not only effectively reduce material procurement costs, but also enhance the competitiveness of enterprises.展开更多
Background: Providing nursing care for patients and relatives requires a great effort from a nurse. It is therefore important for the nurse to have the opportunity to reflect on the caring acts included in process-ori...Background: Providing nursing care for patients and relatives requires a great effort from a nurse. It is therefore important for the nurse to have the opportunity to reflect on the caring acts included in process-oriented nursing supervision (PRONS). The overall objective of the nursing supervision is to support the professional development identity, competences, skills and ethics in different situations in nursing care. Aim: To investigate nurses’ experiences of the model of purging, playing and learning (PPL) according to Eriksson theory in a (PRONS) related to strengthen safe care, quality and professional development. Method: A qualitative study with individual interviews and the data was analyzed using qualitative interpretive content analysis. Participants: All eleven registered participated nurses were from southwestern Sweden and worked in different hospital units. Ethical Considerations: The study carried out in accordance with the ethical guidelines laid down in the Helsinki Declaration and according to the recommendations of the regional ethics committee. Findings: Three categories were identified, valuable purging in the process, responsive playing and awareness of learning. The study found that by participating in PRONS the nurses had developed new approaches with different “tools” when difficult situations occurred in daily nursing practice. Conclusion: PRONS with the model PPL has an important role to support nurses in daily nursing practice. The study highlights that there are residual successful effects after PRONS for the nurses in managing care situations that experienced strengthen quality in care and professional development.展开更多
Aim To predict the indexes of quality of the thermal elastomer by polymerization process data. Methods Neural networks were used for learning the relationship between the product quality and the polymerization proce...Aim To predict the indexes of quality of the thermal elastomer by polymerization process data. Methods Neural networks were used for learning the relationship between the product quality and the polymerization process condition variables in an industrial scale batch polymerization reactor. Results The indexes of quality of the product were inferred with acceptable accuracy from easy to measure reaction process condition variables. Conclusion The method proposed in this paper provides on line soft sensors of the indexes of quality of the thermal elastomal.展开更多
文摘Leveraging the Baidu Qianfan model platform,this paper designs and implements a highly efficient and accurate scoring system for subjective questions,focusing primarily on questions in the field of computer network technology.The system enhances the foundational model by utilizing Qianfan’s training tools and integrating advanced techniques,such as supervised fine-tuning.In the data preparation phase,a comprehensive collection of subjective data related to computer network technology is gathered,cleaned,and labeled.During model training and evaluation,optimal hyperparameters and tuning strategies are applied,resulting in a model capable of scoring with high accuracy.Evaluation results demonstrate that the proposed model performs well across multiple dimensions-content,expression,and development scores-yielding results comparable to those of manual scoring.
文摘Intensive in-depth development of resources, centralized purchasing and gradually expand under the category of environment, this paper studies how to use information technology tools to construction quality supervision and management system that focuses on the quality of supervision and project management, quality control process management, quality monitoring statistics report management, platform management-related content in four areas. Through the construction quality supervision and management system, to better enhance the quality of electric power enterprise management level, to ensure that the material quality, quantity of time and supplies. strengthening quality supervision and management can not only effectively reduce material procurement costs, but also enhance the competitiveness of enterprises.
文摘Background: Providing nursing care for patients and relatives requires a great effort from a nurse. It is therefore important for the nurse to have the opportunity to reflect on the caring acts included in process-oriented nursing supervision (PRONS). The overall objective of the nursing supervision is to support the professional development identity, competences, skills and ethics in different situations in nursing care. Aim: To investigate nurses’ experiences of the model of purging, playing and learning (PPL) according to Eriksson theory in a (PRONS) related to strengthen safe care, quality and professional development. Method: A qualitative study with individual interviews and the data was analyzed using qualitative interpretive content analysis. Participants: All eleven registered participated nurses were from southwestern Sweden and worked in different hospital units. Ethical Considerations: The study carried out in accordance with the ethical guidelines laid down in the Helsinki Declaration and according to the recommendations of the regional ethics committee. Findings: Three categories were identified, valuable purging in the process, responsive playing and awareness of learning. The study found that by participating in PRONS the nurses had developed new approaches with different “tools” when difficult situations occurred in daily nursing practice. Conclusion: PRONS with the model PPL has an important role to support nurses in daily nursing practice. The study highlights that there are residual successful effects after PRONS for the nurses in managing care situations that experienced strengthen quality in care and professional development.
文摘Aim To predict the indexes of quality of the thermal elastomer by polymerization process data. Methods Neural networks were used for learning the relationship between the product quality and the polymerization process condition variables in an industrial scale batch polymerization reactor. Results The indexes of quality of the product were inferred with acceptable accuracy from easy to measure reaction process condition variables. Conclusion The method proposed in this paper provides on line soft sensors of the indexes of quality of the thermal elastomal.
