基于Reason模型的SIF-Q260型电子小肠镜故障原因分析

根据武汉大学中南医院内窥镜中心SIF-Q260型小肠镜故障率高且维修成本高的情况,应用Reason模型,从环境影响、不安全监督、不安全行为前兆及不安全行为4个层面分析造成SIF-Q260小肠镜故障的原因,针对各个层面故障原因,从定期培训以规范内窥镜的洗消及使用、设置专人管理内窥镜并定期对内窥镜使用洗消的规范性进行监督及评价、完善内窥镜监管系统3方面拟定改进措施,堵住系统“漏洞”,为内窥镜质量控制措施的制定提供依据,可预防和减少内窥镜故障的发生。

如何理解菲尼斯的“practical reasonableness”?

“practical reasonableness”是菲尼斯自然法理论中的一个核心概念,也是晚近有关菲尼斯的讨论中最困扰学界的理解及翻译的概念。在汉语学界有关“practical reasonableness”的多种理解中,有着诸多混淆,把“practial reasonableness”与“practical reason”“practical reasoning”“practical intelligibility”区分开来对于恰切理解这个概念尤为必要。另外,菲尼斯所使用的“practical reasonableness”概念在很大程度上可追溯至阿奎那的“prudentia”概念,尽管其在一定程度上对阿奎那的理论进行了改造。通过区分及渊源上的考察,我们大体上可以界定菲尼斯的“practical reasonableness”概念所包含的基本含义:其一,它是一种整合性的和统合性的力量;其二,它的这种力量在根本意义上来源于理性,所以,它是实践理性活动的一种产物;其三,它是实践理性活动成功而达致的状态,因此它会对人的倾向、态度和行动提出要求。

Knowledge Reasoning Method Based on Deep Transfer Reinforcement Learning:DTRLpath

In recent years,with the continuous development of deep learning and knowledge graph reasoning methods,more and more researchers have shown great interest in improving knowledge graph reasoning methods by inferring missing facts through reasoning.By searching paths on the knowledge graph and making fact and link predictions based on these paths,deep learning-based Reinforcement Learning(RL)agents can demonstrate good performance and interpretability.Therefore,deep reinforcement learning-based knowledge reasoning methods have rapidly emerged in recent years and have become a hot research topic.However,even in a small and fixed knowledge graph reasoning action space,there are still a large number of invalid actions.It often leads to the interruption of RL agents’wandering due to the selection of invalid actions,resulting in a significant decrease in the success rate of path mining.In order to improve the success rate of RL agents in the early stages of path search,this article proposes a knowledge reasoning method based on Deep Transfer Reinforcement Learning path(DTRLpath).Before supervised pre-training and retraining,a pre-task of searching for effective actions in a single step is added.The RL agent is first trained in the pre-task to improve its ability to search for effective actions.Then,the trained agent is transferred to the target reasoning task for path search training,which improves its success rate in searching for target task paths.Finally,based on the comparative experimental results on the FB15K-237 and NELL-995 datasets,it can be concluded that the proposed method significantly improves the success rate of path search and outperforms similar methods in most reasoning tasks.

Deterioration Reason and Improvement Measure of the Retarding Effect of Protein Retarder on Phosphorus Building Gypsum

The retarding effect of protein retarder on phosphorus building gypsum(PBG)and desulfurization building gypsum(DBG)was investigated,and the results show that protein retarder for DBG can effectively prolong the setting time and displays a better retarding effect,but for PBG shows a poor retarding effect.Furthermore,the deterioration reason of the retarding effect of protein retarder on PBG was investigated by measuring the pH value and the retarder concentration of the liquid phase from vacuum filtration of PBG slurry at different hydration time,and the measure to improve the retarding effect of protein retarding on PBG was suggested.The pH value of PBG slurry(<5.0)is lower than that of DBG slurry(7.8-8.5).After hydration for 5 min,the concentration of retarder in liquid phase of DBG slurry gradually decreases,but in liquid phase of PBG slurry continually increases,which results in the worse retarding effect of protein retarder on PBG.The liquid phase pH value of PBG slurry can be adjusted higher by sodium silicate,which is beneficial to improvement in the retarding effect of the retarder.By adding 1.0%of sodium silicate,the initial setting time of PBG was efficiently prolonged from 17 to 210 min,but little effect on the absolute dry flexural strength was observed.

GATiT:An Intelligent Diagnosis Model Based on Graph Attention Network Incorporating Text Representation in Knowledge Reasoning

The growing prevalence of knowledge reasoning using knowledge graphs(KGs)has substantially improved the accuracy and efficiency of intelligent medical diagnosis.However,current models primarily integrate electronic medical records(EMRs)and KGs into the knowledge reasoning process,ignoring the differing significance of various types of knowledge in EMRs and the diverse data types present in the text.To better integrate EMR text information,we propose a novel intelligent diagnostic model named the Graph ATtention network incorporating Text representation in knowledge reasoning(GATiT),which comprises text representation,subgraph construction,knowledge reasoning,and diagnostic classification.In the text representation process,GATiT uses a pre-trained model to obtain text representations of the EMRs and additionally enhances embeddings by including chief complaint information and numerical information in the input.In the subgraph construction process,GATiT constructs text subgraphs and disease subgraphs from the KG,utilizing EMR text and the disease to be diagnosed.To differentiate the varying importance of nodes within the subgraphs features such as node categories,relevance scores,and other relevant factors are introduced into the text subgraph.Themessage-passing strategy and attention weight calculation of the graph attention network are adjusted to learn these features in the knowledge reasoning process.Finally,in the diagnostic classification process,the interactive attention-based fusion method integrates the results of knowledge reasoning with text representations to produce the final diagnosis results.Experimental results on multi-label and single-label EMR datasets demonstrate the model’s superiority over several state-of-theart methods.

Research on the Parallel Tractability of Knowledge Graph Reasoning based on Boolean Circuits

Although neural methods have been comprehensively applied in different fields,symbolic based logic reasoning is still the main choice for numerous applications based on knowledge graphs.To enhance the efficiency of knowledge graph reasoning,researchers studied how to design parallelalgorithms for reasoning,and take advantage of high-performance architectures,like neural networks.Although parallel algorithms and architectures improve the performance of reasoning to some degree,the task of reasoning is essentially bounded by its computational complexity,i.e.,the PTiMe-Completeness or higher complexities.This means that the task of reasoning is not parallelly tractable.In this work,we investigate the parallel tractability of knowledge graph reasoning from the perspective of parallel complexity.We concentrate on knowledge graphs that are Datalog rewritable.We aim to capture the parallelly tractable classes of knowledge graphs,for which,the task of reasoning falls in the NC complexity.To this end,we employ the computational model of Boolean circuit to formalize knowledge graph reasoning and further obtain all the theoretical results.We then use the results to analyze DHL(Description Horn Logic),a fragment of description logic.We give the properties that ensure the parallel tractability of DHL reasoning.One can utilize our results to check the parallel tractability of real knowledge graphs.In addition,the Boolean circuits proposed in this paper can also be used to construct neural networks to perform knowledge graph reasoning.

Suggestions for Promoting China’s Drug Regulatory Agency to Join Pharmaceutical Inspection Co-operation Scheme-PIC/S

Objective To identify and reduce the gap between China’s drug GMP inspection and pharmaceutical inspection co-operation scheme(PIC/S)audit checklist,find out the key improvement items,and revise them pertinently,which will promote the process of China joining PIC/S.Methods The general situation of PIC/S organization and audit checklist were introduced first,and then the accession of several countries that joined the organization was analyzed.Meanwhile,the process of China’s participation in PIC/S was sorted out.After referring to the contents of PIC/S audit checklist,the problems of GMP inspection system in China were studied.Results and Conclusion There are still many problems in GMP inspection in China.Some suggestions are put forward for improvement and change,which can provide reference for the development of drug inspection agencies at all levels in China.

Challenges Experienced by Nurse Educators in Promoting Acquisition of Clinical Reasoning Skills by the Undergraduate Nursing Students: A Qualitative Exploratory Study

Background: Clinical reasoning is an essential skill for nursing students since it is required to solve difficulties that arise in complex clinical settings. However, teaching and learning clinical reasoning skills is difficult because of its complexity. This study, therefore aimed at exploring the challenges experienced by nurse educators in promoting acquisition of clinical reasoning skills by undergraduate nursing students. Methods: A qualitative exploratory research design was used in this study. The participants were purposively sampled and recruited into the study. Data were collected using semi-structured interview guides. Thematic analysis method was used to analyze the collected data The principles of beneficence, respect of human dignity and justice were observed. Results: The findings have shown that clinical learning environment, lacked material and human resources. The students had no interest to learn the skill. There was also knowledge gap between nurse educators and clinical nurses. Lack of role model was also an issue and limited time exposure. Conclusion: The study revealed that nurse educators encounter various challenges in promoting the acquisition of clinical reasoning skills among undergraduate nursing students. Training institutions and hospitals should periodically revise the curriculum and provide sufficient resources to facilitate effective teaching and learning of clinical reasoning. Nurse educators must also update their knowledge and skills through continuous professional development if they are to transfer the skill effectively.

Assessing the Levels of Clinical Reasoning Skills Using Self-Assessment of Clinical Reflection and Reasoning in Undergraduate Nursing Students: A Descriptive Comparative Study

Background: Clinical reasoning is a critical cognitive skill that enables undergraduate nursing students to make clinically sound decisions. A lapse in clinical reasoning can result in unintended harm to patients. The aim of the study was to assess and compare the levels of clinical reasoning skills between third year and fourth year undergraduate nursing students. Methods: The study utilized a descriptive comparative research design, based on the positivism paradigm. 410 undergraduate nursing students were systematically sampled and recruited into the study. The researchers used the Self-Assessment of Clinical Reflection and Reasoning questionnaire to collect data on clinical reasoning skills from third- and fourth-year nursing students while adhering to ethical principles of human dignity. Descriptive statistics were done to analyse the level of clinical reasoning and an independent sample t-test was performed to compare the clinical reasoning skills of the student. A p value of 0.05 was accepted. Results: The results of the study revealed that the mean clinical reasoning scores of the undergraduate nursing students were knowledge/theory application (M = 3.84;SD = 1.04);decision-making based on experience and evidence (M = 4.09;SD = 1.01);dealing with uncertainty (M = 3.93;SD = 0.87);reflection and reasoning (M = 3.77;SD = 3.88). The mean difference in clinical reasoning skills between third- and fourth-year undergraduate nursing students was not significantly different from an independent sample t-test scores (t = −1.08;p = 0.28);(t = −0.29;p = 0.73);(t = 1.19;p = 0.24);(t = −0.57;p = 0.57). Since the p-value is >0.05, the null hypothesis (H0) “there is no significantno significant difference in clinical reasoning between third year and fourth year undergraduate nursing students”, was accepted. Conclusion: This study has shown that the level of clinical reasoning skills of the undergraduate nursing students was moderate to low. This meant that the teaching methods have not been effective to improve the students clinical reasoning skills. Therefore, the training institutions should revise their curriculum by incorporating new teaching methods like simulation to enhance students’ clinical reasoning skills. In conclusion, evaluating clinical reasoning skills is crucial for addressing healthcare issues, validating teaching methods, and fostering continuous improvement in nursing education.

IndRT-GCNets: Knowledge Reasoning with Independent Recurrent Temporal Graph Convolutional Representations

Due to the structural dependencies among concurrent events in the knowledge graph and the substantial amount of sequential correlation information carried by temporally adjacent events,we propose an Independent Recurrent Temporal Graph Convolution Networks(IndRT-GCNets)framework to efficiently and accurately capture event attribute information.The framework models the knowledge graph sequences to learn the evolutionary represen-tations of entities and relations within each period.Firstly,by utilizing the temporal graph convolution module in the evolutionary representation unit,the framework captures the structural dependency relationships within the knowledge graph in each period.Meanwhile,to achieve better event representation and establish effective correlations,an independent recurrent neural network is employed to implement auto-regressive modeling.Furthermore,static attributes of entities in the entity-relation events are constrained andmerged using a static graph constraint to obtain optimal entity representations.Finally,the evolution of entity and relation representations is utilized to predict events in the next subsequent step.On multiple real-world datasets such as Freebase13(FB13),Freebase 15k(FB15K),WordNet11(WN11),WordNet18(WN18),FB15K-237,WN18RR,YAGO3-10,and Nell-995,the results of multiple evaluation indicators show that our proposed IndRT-GCNets framework outperforms most existing models on knowledge reasoning tasks,which validates the effectiveness and robustness.

On the “Reasonable” Handling of Personal Information Disclosed According to the Law

The model for protection of personal information dis-closed according to the law has changed from indirect protection to direct protection.The indirect protection model for traditional repu-tation rights and privacy rights was not enough to meet the practical needs of governance.However;due to the ambiguity in the application of the“reasonable”processing requirements,the direct protection model centered on Article 27 of the Personal Information Protection Law also is not enough to effectively respond to practical disputes.The essence of the problem is to resolve the tension between informa-tion circulation and risk control and reshape the legal order for the protection of personal information disclosed according to the law.The determination of“reasonable”should be centered on the scenario theory and holism interpretation and carried out by using the interpre-tation technique of the dynamic system under Article 998 of the Civil Code.With the support of scenario-based discussions and comparative propositions,the crawling and tag extraction of personal information.disclosed according to the law should be considered as reasonable processing;profiling and automated decision-making should not be covered in the scope of reasonable processing,in principle;for behav-iors such as correlation analysis,elements like information subject,identifiability and sensitivity should be comprehensively considered to draw open and inclusive conclusions in individual cases.

基于改进Reason模型的航空事故人为维修差错解析与预防

当今航空工业发展迅猛,航空器制造管理技术日趋成熟,重大航空事故发生率逐年下降,但维修差错相关事故占比却不降反升。本文首先利用数组数据,证明了因维修差错造成的事故在航空事故中的占比在逐渐提高。其次利用Reason模型提出了一种归纳方法,利用历史航空事故数据进行分析,通过讨论各类维修差错致因在航空事故Reason模型中的占比,给出减少维修差错的建议。

论罗尔斯对the reasonable与the rational的区分

在《政治自由主义》中罗尔斯明确区分了the rational(合理)和the reasonable(讲理),这个区分是理解罗尔斯整个正义理论尤其是其思想转变缘由的枢纽。而在其《学士论文》中,罗尔斯区分了the natural(自然)和the personal(人格),进而恰当而清晰地定位了伦理学。在这种定位中,伦理学的研究对象是人格关系,而且与神学、宗教不可分离。合理与讲理这对区分的内涵在《政治自由主义》中得以展开,而对自然和人格的区分则进一步推进了对合理与讲理这对区分的理解,罗尔斯做出此种区分的原因也将得到呈现。

Reason模型在肝癌介入术病人围术期护理安全管理中的应用分析

目的:探讨Reason模型在肝癌介入术病人围术期护理安全管理中的应用效果。方法:应用Reason模型对2020年6月-2021年6月22例次肝癌介入术病人围术期护理安全不良事件进行回顾性分析,从不安全行为、不安全性前提、不安全监督、组织管理4个方面分析原因并制定解决方案,比较方案实施前后护理安全不良事件发生率。结果:实施Reason模型后肝癌介入术病人围术期护理安全不良事件发生率为0.135%,显著低于实施前的0.586%(P<0.05)。结论:基于Reason模型的管理有利于深度挖掘护理管理问题,降低护理安全不良事件发生率,有助于改变医护人员对不良事件上报的态度,保障病人安全。

Reasonable,rational与当代政治哲学的变化

理性是政治哲学的论题,理性的分裂与整合直接影响到政治哲学的研究方法和研究动向。当代政治哲学对于reasonable和rational的理解存在明显的冲突,这种冲突也是自理性被概念化以来本身就具有的。理性的分裂影响着当代政治哲学研究的动向:使政治学实现了从传统向现代及其科学化的转向,完成了政治和行政及事实与价值的分离,促使政治智慧转向政治知识,引发了政治统治合法性的现代转译。理性的整合也使当代政治哲学出现了新的研究趋势:政治事实与政治价值的整合,经验方法与规范方法的互补和政治与行政的联袂。

A DELTA INFERENCE OPERATOR FOR REASONABLE CONSEQUENCE RELATION

This paper determines a delta inference operator C based on the notion of reasonable consequence of Adams′ system and studies its properties. It shows another approach to study inductive and probabilistic reasoning.

Determination of reasonable finished state of self-anchored suspension bridges

A systematic and generic procedure for the determination of the reasonable finished state of self-anchored suspension bridges is proposed, the realization of which is mainly through adjustment of the hanger tensions. The initial hanger tensions are first obtained through an iterative analysis by combining the girder-tower-only finite element(FE) model with the analytical program for shape finding of the spatial cable system. These initial hanger tensions, together with the corresponding cable coordinates and internal forces, are then included into the FE model of the total bridge system, the nonlinear analysis of which involves the optimization technique. Calculations are repeated until the optimization algorithm converges to the most optimal hanger tensions(i.e. the desired reasonable finished bridge state). The "temperature rigid arm" is introduced to offset the unavoidable initial deformations of the girder and tower, which are due to the huge axial forces originated from the main cable. Moreover, by changing the stiffness coefficient K in the girder-tower-only FE model, the stiffness proportion of the main girder, the tower or the cable subsystem in the whole structural system could be adjusted according to the design intentions. The effectiveness of the proposed method is examined and demonstrated by one simple tutorial example and one self-anchored suspension bridge.

Model for Bidding and Tendering with Bill of Quantities Based on Bid-Winning Estimate at Reasonable Low Price

The possibility and rationality of introducing an bid-winning estimate based on a reasonable low price into construction bidding mode with bill of quantities were analyzed by setting up a model for bidding and tendering, and the functions of the estimate of reasonable low price in the bidding were revealed. On this basis, a new bidding mode of the project with bill of quantities was pro- posed. The application of the new mode will be advantageous to the promotion of the bill of quantities in China.

A novel model for extending international co-operation in science and education

In September 1994 the University of Twente, the Netherlands, and Zhejiang University, China, decided to cooperate in the field of science, education and management. After several visits of delegations from both sides it was considered worthwhile to explore further opportunities for mutual cooperation. The directors of international cooperation on each side jointly commissioned a project to investigate the potential in a systematic way and to establish further contacts where appropriate. This paper reports on the results of the research cum matching project. To reveal promising matches between multiple departments of both academic institutions a matching model for uni-versities was designed. The study was carried out along two parallel lines. In the research line the theoretical framework was developed into a model for international university co-operation. Moreover, an analysis was carried out on internal, external and cultural aspects resulting in a set of thirty four influencing factors. In the matching line a total of seventy interviews were held in order to identify promising matches between units at both universities. This line resulted in eleven promising matches for further co-operation. The novel model appeared useful in analyzing the variety of factors and in developing matches between both univer-sities. In the further implementation of the model the issues of 搇evel of co-operation?and 搕op-down versus bottom-up?need to be addressed in more detail.

A REASONABLE METHOD FOR CONSTRACTING GENERAL ELEMENT DM4 OF THICK AND THIN PLATE WITH EFFECTUAL AND REALIABLE NUMERICAL SOLUTIONS

In this thesis, the interal relations between about shear looking, zero energy mode and patch test are studied, and a reasonable method provided for building general element of thick and thin plate with effectual and realiable numerical solution.