Computer-based Creativity Enhanced Conceptual Design Model for Non-routine Design of Mechanical Systems

Computer-based conceptual design for routine design has made great strides, yet non-routine design has not been given due attention, and it is still poorly automated. Considering that the function-behavior-structure（FBS） model is widely used for modeling the conceptual design process, a computer-based creativity enhanced conceptual design model（CECD） for non-routine design of mechanical systems is presented. In the model, the leaf functions in the FBS model are decomposed into and represented with fine-grain basic operation actions（BOA）, and the corresponding BOA set in the function domain is then constructed. Choosing building blocks from the database, and expressing their multiple functions with BOAs, the BOA set in the structure domain is formed. Through rule-based dynamic partition of the BOA set in the function domain, many variants of regenerated functional schemes are generated. For enhancing the capability to introduce new design variables into the conceptual design process, and dig out more innovative physical structure schemes, the indirect function-structure matching strategy based on reconstructing the combined structure schemes is adopted. By adjusting the tightness of the partition rules and the granularity of the divided BOA subsets, and making full use of the main function and secondary functions of each basic structure in the process of reconstructing of the physical structures, new design variables and variants are introduced into the physical structure scheme reconstructing process, and a great number of simpler physical structure schemes to accomplish the overall function organically are figured out. The creativity enhanced conceptual design model presented has a dominant capability in introducing new deign variables in function domain and digging out simpler physical structures to accomplish the overall function, therefore it can be utilized to solve non-routine conceptual design problem.

Computer-based simulative training system--a new approach to teaching pre-hospital trauma care

Objective:A computer-based STS(simulative training system) in providing pre-hospital trauma care at a disaster site was applied to teaching nursing students in the Second Military Medical University,China.This article reports on the teaching effectiveness of this system.Methods:Among 92 participants,46 were in the study group and 46 were in the 'control' group. Each student completed a multiple-choice quiz after completing 18 hours(six three-hour sessions) of the study module,and a score was recorded.The simulative training module was completed only by the study group;the 'control' group was assigned in-class discussions for the same amount of time covering the same content as the study group.The final course scores,which included both comprehensive and group task-based tests were compared between these two groups.The study used a descriptive and comparative approach for quantitative data analysis.Tests of independency between the multiple choice scores and the simulation scores were also performed.Finally,anonymous surveys were conducted.Results:The study group performed better than the 'control' group with a significantly higher average score for the group scenario task-based test score,and consequently the study group's final course score was significantly higher than the 'control' group.As per chi-square tests,no significant associations were found between the multiple choice scores and the simulated training scores.The final surveys showed students overwhelmingly agreed that STS training improved their knowledge and skills,their ability to recognize a potential critical event, and their initial response for trauma care at pre-hospital settings.The survey responses of the study group were noteworthy as they indicated that students recognized the importance of simulative training,appreciated the realism of the simulation,and were able to fight/adjust to the stressful feelings in order to focus on the task.Conclusion:Computer-based STS may be an effective teaching model to help students improve their capability in providing pre-hospital trauma care,and in their effectiveness in disaster response.

ChatGPT: Application in Chemistry Education and Challenges

The paper discusses the advancements and applications of neural networks, specifically ChatGPT, in various fields, including chemistry education and research. It examines the benefits of AI and ChatGPT, such as their ability to process and analyze large amounts of data, create personalized training systems, and offer problem-solving recommendations. The paper delves into practical applications, showcasing how ChatGPT can be utilised to augment chemistry learning. It provides examples of using ChatGPT for creating tests, generating multiple-choice questions, and studying chemistry in general. Concerns are voiced about the ethical and societal impact of AI development. In conclusion, it explores the exciting potential of AI to tackle challenges that may exceed human capabilities alone, paving the way for further exploration and collaboration between humans and intelligent machines.

ATTEMPT ON COMPUTER-BASED COLLEGE ENGLISH TEACHING

With the development of CALL applying in foreign languages teaching, it brings a new voice to thereform of EFL or FLT. We made a comparison between computer-based college English teaching and traditionEnglish teaching. Through analysis of the experiment, we may find that computer-based college Englishteaching has great potential in traditional class.

增强军校本科学员指挥谋略能力研究——基于计算机兵棋系统

对指挥谋略进行概念分析,确定基于计算机兵棋系统的指挥谋略训练内容;明确计算机兵棋推演的一般步骤和注意事项;以联军2004年11月"破晓"行动为例运用计算机兵棋系统进行指挥谋略训练。研究表明,基于计算机兵棋系统运用战例研究可以成为增强军校本科学员指挥谋略的训练模式。

Possible contribution of artificial neural networks and linear discriminant analysis in recognition of patients with suspected atrophic body gastritis

AIM: To investigate whether ANNs and LDA could recognize patients with ABG in a database, containing only clinical and biochemical variables, of a pool of patients with and without ABG, by selecting the most predictive variables and by reducing input data to the minimum.METHODS: Data was collected from 350 consecutive outpatients (263 with ABG, 87 with non-atrophic gastritis and/or celiac disease [controls]). Structured questionnaires with 22 items (anagraphic, anamnestic, clinical, and biochemical data) were filled out for each patient. All patients underwent gastroscopy with biopsies. ANNs and LDA were applied to recognize patients with ABG.Experiment 1: random selection on 37 variables, experiment 2: optimization process on 30 variables, experiment 3:input data reduction on 8 variables, experiment 4: use of only clinical input data on 5 variables, and experiment 5:use of only serological variables.RESULTS: In experiment 1, overall accuracies of ANNs and LDA were 96.6% and 94.6%, respectively, for predicting patients with ABG. In experiment 2, ANNs and LDA reached an overall accuracy of 98.8% and 96.8%,respectively. In experiment 3, overall accuracy of ANNs was 98.4%. In experiment 4, overall accuracies of ANNs and LDA were, respectively, 91.3% and 88.6%. In experiment 5, overall accuracies of ANNs and LDA were,respectively, 97.7% and 94.5%.CONCLUSION: This preliminary study suggests that advanced statistical methods, not only ANNs, but also LDA,may contribute to better address bioptic sampling during gastroscopy in a subset of patients in whom ABG may be suspected on the basis of aspecific gastrointestinal symptoms or non-digestive disorders.

Tracking Students’ Mental Engagement Using EEG Signals during an Interaction with a Virtual Learning Environment

Monitoring students’ level of engagement during learning activities is an important challenge in the development of tutoring interventions. In this paper, we explore the feasibility of using electroencephalographic signals (EEG) as a tool to monitor the mental engagement index of novice medicine students during a reasoning process. More precisely, the objectives were first, to track students’ mental engagement evolution in order to investigate whether there were particular sections within the learning environment that aroused the highest engagement level among the students, and, if so, did these sections have an impact on learners’ performance. Experimental analyses showed the same trends in the different resolution phases as well as across the different regions of the environments. However, we noticed a higher engagement index during the treatment identification phase since it aroused more mental effort. Moreover statistically significant effects were found between mental engagement and students’ performance.

THE RETRIEVAL AND ANALYSIS OF THE ACUPOINT EFFECT FROM ZHENJIU DACHENG

This paper has counted the clauses about the acupoint effect in Zhenjiu Dachengwith computer. The results have been indicated, summed up, simplified, and listed in a table. Ac-cording to these results, authors proposed some hypotheses, such as the first grade of the holographicunits on the extremities, the second grade of the holographic units on the extremities, the holographicunit on the head, etc., which are of significance in the clinical selection of points.

Dimensionality and Angular Disparity Influence Mental Rotation in Computer Gaming

Computer gaming is one of the most common activities that individuals are indulged in their usual activities concerning interactive systembased entertainment.Visuospatial processing is an essential aspect of mental rotation(MR)in playing computer-games.Previous studies have explored how objects’features affect theMRprocess;however,non-isomorphic 2Dand 3D objects lack a fair comparison.In addition,the effects of these features on brain activation during the MR in computer-games have been less investigated.This study investigates how dimensionality and angular disparity affect brain activation duringMRin computer-games.EEG(electroencephalogram)data were recorded from sixty healthy adults while playing an MR-based computer game.Isomorphic 2D and 3D visual objects with convex and reflex angular disparity were presented in the game.Cluster-based permutation tests were applied on EEG spectral power for frequency range 3.5–30 Hz to identify significant spatio-spectral changes.Also,the band-specific hemispheric lateralization was evaluated to investigate task-specific asymmetry.The results indicated higher alpha desynchronization in the left hemisphere during MR compared to baseline.The fronto-parietal areas showed neural activations during the game with convex angular disparities and 3D objects,for a frequency range of 7.8–14.2Hz and 7.8–10.5Hz,respectively.These areas also showed activations during the game with reflex angular disparities and 2D objects,but for narrower frequency bands,i.e.,8.0–10.0 Hz and 11.0–11.7 Hz,respectively.Left hemispheric dominance was observed for alpha and beta frequencies.However,the right parietal region was notably more dominant for convex angular disparity and 3D objects.Overall,the results showed higher neural activities elicited by convex angular disparities and 3D objects in the game compared to the reflex angles and 2Dobjects.The findings suggest future applications,such as cognitive modeling and controlled MR training using computer games.

Relationship between Computer-Based Reading Activities and Reading Achievements among Hong Kong and U.S.Students:A Comparative Study Using PIRLS 2011 Data

Reading for personal interest and acquiring and using information using various reading processes are important parts of reading literacy that students need to develop in order to progress successfully through their schooling and fully function in the information society.Computer assisted reading instructional activities are assumed useful in improving the reading literacy of students,especially reading processes.However,students in Hong Kong and the US demonstrated a substantial performance gap in reading proficiency.Using the data from Progress in International Reading Literacy(PIRLS)2011,this study examines whether and to what extent four computer-based reading instructional activities influence students’performance in reading processes central to reading for interest and acquiring and using information in Hong Kong and the US.It found that computer-based reading activities are associated with students’literacy performance in different ways in the two places.In particular,the more often Hong Kong students used the computer to read,the lower the reading achievement in all reading processes measured.However,in the US context,using the computer to write is positively associated with students’reading scores in all reading processes while using software is negatively related to their reading performance in using all the reading processes.

The TOGAF Based Govemance Framework Proposition for Technology Management Systems

A computer-based technology management system is needed to manage technology assessment, technology acquisition, and technology planning capabilities to shape and accomplish the strategic and operational objectives of an organization. During the design of technology management intelligence, it has appeared that there has been a need to establish an integrated and systematic approach. The Open Group Architecture Framework （TOGAF） provides this systematic approach to the planning, development, implementation, and governance of the enterprise architecture. This exploratory paper examines the TOGAF approach to develop a technology management architecture in a product development organization. The paper discusses the development and proactive governance of the technology management architecture from various perspectives such as architecture capability, architecture development, transition planning, and architecture implementation. The paper presents a TOGAF based governance framework for the technology management system in an organization that develops s0ft＇ware-intensive systems. The framework supports an iterative approach in the architecture capability, architecture development, transition planning, and architecture implementation phases. The implementation governance phase can deal with multiple projects simultaneously. Therefore, the framework suggests applying agile system development principles to the projects that develop and deploy the architecture-compliant technology management solutions. The proposed framework helps organizations to design and implement a technology management architecture that meets the needs of the business. The framework also aims to simplify development and maintenance processes of a technology management system.

Improving Laboratory Test-Ordering with Information Technology

The overuse of clinical laboratory services has been documented for many years. This overuse use does not contribute to the quality of medical care, does not shorten hospital stay, nor reduce mortality. The utilization of diagnostic laboratories has increased over the last decade around the world. This increased laboratory use is appropriate if it allows accurate diagnoses to be made, ideal treatment to be identified and monitored, accurate prognoses to be established, and patients’ hospital stays to be shortened. Thus, improving the appropriateness of testing behavior and reducing the number of laboratory tests have been recognized as essential parts of quality improvement program. In this study, the effectiveness of a computer-based system in improving the laboratory test-ordering in a general hospital was investigated. The study was conducted through four stages, the preparation stage, the pre-intervention stage, the post-intervention 1) stage and post-intervention 2) stage. Guideline and computer system were developed during preparation stage. Medical records were reviewed against guideline recommendations before any intervention during the pre-intervention stage, after guideline dissemination through educational workshops during the post intervention 1) stage, and after implementation of the computer system with the new requesting form during the post intervention 2) stage. The study revealed that the computer-based system achieved a statistically significant increase in the percentage of appropriate use from 44.6% in the post-intervention 1) stage to 55.6%, and a statistically significant increase in the compliance with guideline by prescriber as well as increased in guideline conformity rate from 16.7% in the post-intervention 1) stage to 32.5% in the post-intervention 2) stage, and decreased in the percentage of prescribers whose level was unsatisfactory from 85.4% the post-intervention 1) stage to 66.7% in the post-intervention 2) stage.

Review of ＂The College English Teaching Requirement （2007）＂

Since the first official college English curriculum being drafted out in 1982, English education has been implemented in People＇s Republic of China for about 30 years. Every curriculum at each stage shades a great light on the development of English teaching and learning in different time. Though reviewing the ＂The College English Teaching Requirement （2007）＂ （Ministry of Education, 2007）, it can be seen that the listening and speaking competences are highly emphasized to cope with the problem of ＂mute English＂, and computers are invited to facilitate English learning which make the learning process more individualized. However, there are also some shortcomings should be modified in the future, such as lack of needs analysis and pedagogical support and so on.

Preschoolers＇ Learning Disabilities Assessment： New Perspectives in Computerized Clinical Tools

This study looks into new perspectives in preschoolers＇ assessment of being at risk for learning disabilities. Precisely, two innovative assessment approaches are examined in order to reveal new research perspectives. The first tool, a traditional approach, is the ＂Early Dyslexia Identification Test＂ and the second tool, a computerized approach, is an lnternet based Speech Pathology Diagnostic Expert System named ＂APLo＂. Both evaluate the sectors of phonological awareness, memory, psychomotor development, pre-writing and pre-reading skills in Greek. The findings o f the current study formulate three directions： （1） the complementary of speech language and learning disorders as a systemic approach, （2） the diagnosis of suspicious factors and compatibilities of learning disabilities even at the preschool age, and （3） the application of alternative methods of assessment aiming for a multidimentional approach with the combined prospect and potential of web tools in the early diagnosis and intervention in learning disabilities.

Application of Blended Learning Model to Computer Fundamentals Courses in an Online Environment

In the online environment,schools should keep up with the pace of development and strengthen the application of hybrid teaching mode,so as to strengthen the cultivation of students’comprehensive computer application ability and computer subject literacy,and improve students’learning efficiency.The author explores the actual situation of teaching basic computer courses at this stage and the requirements of applying hybrid teaching mode to carry out computer basic course teaching under the network environment,and puts forward an effective strategy for the application of hybrid teaching mode in computer basic course under the network environment,hoping to contribute to the improvement of the teaching quality and quality of computer basic course.

STUDYING COMPLEX ADAPTIVE SYSTEMS

Complex adaptive systems （cas） - systems that involve many components that adapt or learn as they interact - are at the heart of important contemporary problems. The study of cas poses unique challenges： Some of our most powerful muthemutical tools, particularly methods involivng fixed points, attractors, and the like, are of limited help in understanding the development of cas. This paper suggests ways to modify research methods and tools, with an emphasis on the role of computer-based models, to increase our understanding of cas.

Towards a Wireless Sensor Platform for Energy Efficient Building Operation

Currently, the IT-support for energy performance rating of buildings is insufficient. So-called IT-platforms often 'built' of an ad-hoc, inconsistent combination of off-the-shelf building management compo-nents, distributed data metering equipment and several monitoring software tools. A promising approach to achieve consistent, holistic performance data management is the implementation of an integrated, modular wireless sensor platform. This paper presents an approach of how wireless sensors can be seamlessly integrated into existing and future intelligent building management systems supporting improved building performance and diagnostics with an emphasis on energy management.

Personalized Computer Simulation of Diastolic Function in Heart Failure

The search for a parameter representing left ventricular relaxation from non-invasive and invasive diagnostic tools has been extensive, since heart failure （HF） with preserved ejection fraction （HF-pEF） is a global health problem. We explore here the feasibility using patient-specific cardiac computer modeling to capture diastolic parameters in patients suffering from different degrees of systolic HF. Fifty eight patients with idiopathic dilated cardiomyopathy have undergone thorough clinical evaluation, including cardiac magnetic resonance imaging （MRI）, heart catheterization, echocardiography, and cardiac biomarker assessment. A previously-introduced framework for creating multi-scale patient-specific cardiac models has been applied on all these patients. Novel parameters, such as global stiffness factor and maximum left ventricular active stress, representing cardiac active and passive tissue properties have been computed for all patients. Invasive pressure measurements from heart catheterization were then used to evaluate ventricular relaxation using the time constant of isovolumic relaxation Tau （τ）. Parameters from heart catheterization and the multi-scale model have been evaluated and compared to patient clinical presentation. The model parameter global stiffness factor, representing diastolic passive tissue properties, is correlated significantly across the patient population with τ. This study shows that multi-modal cardiac models can successfully capture diastolic （dys） function, a prerequisite for future clinical trials on HF-pEF.

Potentials for Radio Frequency Identification in AEC/FM

Radio frequency identification (RFID) technology has proved to be very effective in industries as diverse as aircraft manufacturing to health and care. The construction industry has been slow to take up on RFID and this paper will discuss the merits of the technology in its potential for application within the construction sector. The paper reports about the prototypical implementation of RFID-based information management in FM-scenarios. The prototypes were tested at University College Cork (UCC). The general applicability of RFID for decentralised information management could be demonstrated.