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.

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.

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.

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.

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.

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.

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.