Search Results (25)

In recent years, design education has experienced major changes as the number of digital tools and technologies has rapidly developed. Many design programs encounter difficulties in integrating these innovations, despite their potential benefits. In this research, the adoption of digital tools in the teaching of design in Jordanian universities is explored, focusing on the views of educators in relation to their use, the challenges associated with it, and the resultant effects on the pedagogical process. Faculty members working in various departments of design were surveyed gauging the frequency of usage of tools, their knowledge of new technologies, their perceptions of the potential results of an educational process, and the barriers that were met during the integration process. To guide the analysis, three theoretical frameworks were applied: the SAMR model of technology integration, Bloom’s Digital Taxonomy, and the Technology Acceptance Model (TAM). The findings reveal that while traditional tools like AutoCAD and Revit are predominantly used at the Substitution and Augmentation stages, emerging technologies such as VR/AR and AI show potential for higher-order integration. However, barriers related to ease of use and perceived usefulness limit their broader adoption. The study contributes to the understanding of digital transformation in design education and provides insights into the pedagogical implications for future curriculum development. The research highlights the need to invest more in the professional development of educators and to work more closely with the technological industry. The proposed implications of these insights concern the restructuring of design education to reflect the needs of the digital age and provide approaches to overcoming obstacles to the successful adoption of technology in teaching environments. Full article

Background: CAD continues to be a major global cause of morbidity and mortality, but its metabolic underpinnings in African populations remain poorly characterized. Conventional predictors such as body mass index (BMI) and insulin resistance markers may not fully capture risk in these settings. Methods: We conducted a hospital-based cross-sectional, hypothesis-generating study of 138 Sudanese patients with symptomatic angina who underwent elective coronary angiography at El-Shaab Teaching Hospital, Khartoum, Sudan. Clinical and demographic data were collected, and venous blood samples were analyzed for fasting blood glucose (FBG), fasting insulin (FI), and lipid profiles. Insulin sensitivity was estimated using the Quantitative Insulin Sensitivity Check Index (QUICKI). Patients were categorized into obstructive CAD (≥50% stenosis, n = 72) and non-obstructive CAD (<50% stenosis, n = 66) groups. Statistical analyses included group comparisons, BMI-stratified analyses, and logistic regression modeling. Results: Patients with obstructive CAD were significantly older (p = 0.044), predominantly male (80.6% vs. 50.0%, p < 0.001), and more frequently diabetic (p = 0.011). BMI was unexpectedly lower in the obstructive group (p = 0.044). FBG was significantly higher and HDL-C lower in the obstructive group, both before and after adjusting for BMI, while FI and QUICKI did not differ significantly between groups. Logistic regression identified age, male gender, and FBG as independent predictors of obstructive CAD. Conclusions: Elevated fasting glucose and reduced HDL-C, rather than BMI or classical insulin resistance indices, appear to be key metabolic signatures of obstructive CAD in Sudanese patients. These findings underscore the importance of population-specific risk markers to improve early detection and tailored prevention strategies in underrepresented African cohorts. Full article

To address the technical bottlenecks of low path planning efficiency and insufficient point cloud coverage in the automated 3D scanning of complex structural components, this study proposes an offline method for the generation and optimization of scanning paths based on CAD models. Discrete sampling of the model’s surface is achieved through the construction of an oriented bounding box (OBB) and a linear object–triangular mesh intersection algorithm, thereby obtaining a discrete point set of the model. Incorporating a standard vector analysis of the discrete points and the kinematic constraints of the scanning system, a scanner pose parameter calculation model is established. An improved nearest neighbor search algorithm is employed to generate a globally optimized scanning path, and an adaptive B-spline interpolation algorithm is applied to path smoothing. A joint MATLAB (R2023b)—RobotStudio (6.08) simulation platform is developed to facilitate the entire process, from model pre-processing and path planning to path verification. The experimental results demonstrate that compared with the traditional manual teaching methods, the proposed approach achieves a 25.4% improvement in scanning efficiency and an 18.6% increase in point cloud coverage when measuring typical complex structural components. This study offers an intelligent solution for the efficient and accurate measurement of large-scale complex parts and holds significant potential for broad engineering applications. Full article

This research paper explores the impact of immersive virtual reality (IVR) on the teaching of conceptual design in engineering and architecture fields, focusing on the use of interactive 3D drawing tools in virtual and augmented reality environments. The study analyzes how IVR influences spatial understanding, idea communication, and immersive 3D sketching for industrial and architectural design. Additionally, it examines user perceptions of virtual spaces prior to physical construction and evaluates the effectiveness of these technologies through surveys administered to mechanical engineering students utilizing VR/AR headsets. A structured methodology was developed for students enrolled in an industrial design course, comprising four phases: initial theoretical instruction on ephemeral architecture, immersive 3D sketching sessions using Meta Quest 2 and Microsoft HoloLens 2 VR/AR headsets, detailed CAD modeling based on conceptual sketches, and immersive virtual tours to evaluate user perception and design efficacy. Ad hoc questionnaires specifically designed for this research were employed. The results indicate a positive reception to IVR, emphasizing its ease of use, intuitive learning process, and effectiveness in improving motivation, academic performance, and student engagement during the conceptual design phase in graphic engineering education. Full article

In the study and design of planar mechanisms, graphical techniques for solving kinematic analysis/synthesis and kinetostatics problems have regained interest due to the availability of advanced drawing tools (e.g., CAD software). These techniques offer a deeper physical understanding of a mechanism’s behavior, which can enhance a designer’s intuition and help students develop their skills. Geometric Constraint Programming (GCP) is the term used to describe this modern approach to implementing these techniques. GeoGebra is an open-source platform designed for the interactive learning and teaching of mathematics and related STEM disciplines. It offers an object-oriented programming language and a wide range of geometric tools that can be leveraged to implement GCP. This work presents a systematic technique for studying and designing planar linkages, based on Assur’s groups and GeoGebra’s tools. Although some kinematic analyses and syntheses of planar linkages using GeoGebra have been previously introduced, the proposed systematic approach is novel and could serve as a guide for implementing similar problem-solving methods in other graphical environments. Several case studies will be presented to illustrate this novel approach in detail. Full article

Various types of numerical control (NC) machine tools can be standardly operated and controlled based on NC data that can be easily generated using widespread CAD/CAM systems. On the other hand, the operation environments of industrial robots still depend on conventional teaching and playback systems provided by the makers, so it seems that they have not been standardized and unified like NC machine tools yet. Additionally, robotic functional extensions, e.g., the easy implementation of a machine learning model, such as a convolutional neural network (CNN), a visual feedback controller, cooperative control for multiple robots, and so on, has not been sufficiently realized yet. In this paper, a hyper cutter location source (HCLS)-data-based robotic interface is proposed to cope with the issues. Due to the HCLS-data-based robot interface, the robotic control sequence can be visually and unifiedly described as NC codes. In addition, a VGG19-based CNN model for defect detection, whose classification accuracy is over 99% and average time for forward calculation is 70 ms, can be systematically incorporated into a robotic control application that handles multiple robots. The effectiveness and validity of the proposed system are demonstrated through a cooperative pick and place task using three small-sized industrial robot MG400s and a peg-in-hole task while checking undesirable defects in workpieces with a CNN model without using any programmable logic controller (PLC). The specifications of the PC used for the experiments are CPU: Intel(R) Core(TM) i9-10850K CPU 3.60 GHz, GPU: NVIDIA GeForce RTX 3090, Main memory: 64 GB. Full article

Computer-aided design (CAD) has become an integral part of engineering education, particularly for those studying mechanical engineering. By providing practical skills that are highly valued in the engineering industry, proficiency in CAD systems enhances students’ employability. Generally, CAD systems provide students with the tools and knowledge necessary to excel in their engineering education and future careers. In order to help teachers to give the best training to their students and to make the right evaluations, an automatized tool is needed to support the evaluation of CAD models during training sessions. After an extensive bibliographical search, this paper proposes a CAD Model Automatized Assessment (MAA) Tool for mechanical courses called the CAD MAA Tool. This tool is mainly based on a developed model that takes into account different aspects of modeling, such as geometric, feature-based, and parametric modeling. To correctly evaluate a given part compared to a reference one, the proposed model uses different coefficients fixed by the teacher according to their teaching strategies or course objectives. Full article

Analyzing the integration of scientific knowledge to guide decision-making processes supporting design challenges in engineering education is critical. However, effectively engaging in informed design decision-making processes is challenging, particularly in the context of online education. Simulation-based learning can bring authentic design practices to online education, but effective guidance and scaffolding must be provided to learners. Therefore, this research investigates the implications of integrating simulation-based learning with an argumentation framework to guide students in incorporating scientific knowledge into their design decisions, particularly in designing energy-efficient housing. This study took place during online learning due to the COVID-19 pandemic and was implemented within a first-year engineering technology undergraduate course. It aimed to analyze students’ decision-making processes when designing a zero-energy home for a Midwestern city using Aladdin, an integrated CAD/CAE platform that can be used to design a structure and simulate its function within a single system. This study investigates how students informed their decision-making processes in design for energy-efficient homes and the recurring trends in students’ designs related to economic decision making and energy science. The overall results show how cost constraints significantly influenced students’ observation and argumentation processes during their design challenge, highlighting the pivotal role of economic considerations in shaping their decision making. Moreover, the findings underscore the importance of holistic approaches in providing insights into teaching strategies for online learning, particularly in navigating the intersection of scientific and economic factors in design challenges. Full article

Additive manufacturing (AM), which is also called rapid prototyping/3D printing/layered manufacturing, can be considered as a rapid conversion between digital and physical models. One of the most used materials in AM is polylactic acid (PLA), which has advantageous material properties such as biocompatibility, biodegradability, and nontoxicity. For many medical applications, it is considered as a leading biomaterial. In dentistry, in addition to its uses in dental models (education, teaching, simulation needs), it can be used for therapeutic objectives and tissue engineering. The fused filament fabrication (FFF) technique, also called fused deposition modeling (FDM), is widely used as an AM technique to perform complex and functional geometries directly from CAD files. In this review, the objective was to present the different challenges and future perspectives of this additively manufactured material by using FFF in dentistry areas. Some suggestions for future directions to extend to more dental applications (support structures, lattice structures, etc.) and to consider more criteria (sustainability, uncertainty etc.) will be discussed. Advanced studies such as machine learning (ML) techniques will be suggested to reduce the failure cases when using the additively manufactured PLA by FFF in dentistry. Full article

Since July 2017, pembrolizumab has been approved as a first-line treatment of metastatic non-small cell lung cancer (NSCLC) in patients with a PD-L1 score ≥ 50% in Quebec. Study objectives were to describe and assess the real-world use of pembrolizumab; report progression-free survival (PFS), overall survival (OS), and immune-related adverse events (IRAEs); and compare outcomes between a fixed dose (FD) and a weight-based capped dose (WCD). Medical records of patients treated in one of Quebec’s four adult university teaching hospitals who received pembrolizumab between 1 November 2017 and 31 October 2019 were reviewed and followed until 29 February 2020. Two hundred and seventy-nine patients were included. The median real-world PFS and OS were 9.4 (95% CI, 6.6 to 11.2) and 17.3 months (95% CI, 12.9 to not reached), respectively. IRAEs causing delays or treatment interruptions were seen in 34.4% of patients. Initiating treatment with a FD (49 patients) or using a WCD (230 patients) does not appear to affect PFS, OS, or the occurrence of IRAEs. The use of a WCD strategy allowed approximately CAD 5.8 million in savings during the course of our study. These findings support the effectiveness and safety of pembrolizumab in a real-world setting. The use of a WCD does not appear to have a negative impact on patient outcomes. Full article

Over the last few decades, a significant amount of literature on the preservation and adaptive reuse of historical buildings has been published. More recently, the use of digital technologies in heritage projects and academic research has become increasingly topical worldwide. However, the topic of architectural education and the teaching of architectural history in relation to heritage is less discussed. This paper contributes to this relevant and necessary topic that has not received much attention in academia so far, and presents a case study—a real-life heritage project to teach architectural history in higher education. The methodology applied in this case study is based on the digital methods of heritage surveying. The paper explains the methodology process and illustrates the key tasks across three project phases of a Scan to BIM/Capture to CAD methodology: methods and activities developed with the students, from building survey, data processing, development of BIM models, etc. The aim of the paper is to analyse the positive contribution for the teaching curriculum and the benefits for community and industry. The paper is a reflective narrative piece and seeks to share useful tools and strategies to make educational use of a heritage building and its resources as one way of teaching architectural history and heritage today. Full article

Background and Objectives: Study models are essential tools used in the dental teaching process. The aim of the present study was to compare the values obtained by manual and digital orthodontic measurements on physical and digital case study models. Materials and Methods: The physical experimental models were obtained by traditional pouring (improved stone-type IV gypsum products) and by additive manufacturing (resins). The digital experimental models were created by scanning the physical ones, using a white light-emitting diode (LED) source and an L-shaped dental scanner—Swing DOF (DOF, Seoul, Korea). The physical study models were first measured using a digital caliper, and then, they were scanned and evaluated using the DentalCad 3.0 Galway software (exocad GmbH, Darmstadt, Germany). The Pont, Linder–Harth, and Bolton indices, which are used in orthodontics for training students, were derived using the available data. Results: When comparing the linear measurement mean ranks taken on physical study models to those of digital models, no statistically significant differences (p > 0.05) were found. A similar result was also shown when the dentoalveolar growth indicators were analyzed. Conclusions: It can be concluded that dental study models made by direct light processing (DLP) and pouring type IV class gypsum are both acceptable for orthodontic teaching purposes. Full article

Background: Adults in South Asian countries have high chances of developing coronary artery disease (CAD) as compared to the developed nations. CAD is among the primary non-communicable causes of death in this region. Dyslipidemia, obesity, smoking hypertension, diabetes are considered as important risk factors for CVD. Methods: A case-control study was conducted, with data was collected from the Punjab Institute of Cardiology in Lahore and the University of Lahore Teaching Hospital. A total of 500 subjects were selected, of which 250 were coronary artery disease patients and 250 were healthy controls. The CAD patients were selected from the outpatient department (OPD) and emergency unit of the Punjab Institute of Cardiology and the University of Lahore Teaching Hospital. Results: The mean age of CAD patients was 57.83 ± 7.51 years and that of the controls was 55.32 ± 6.40 years. There was a significant difference in the mean values of biochemical parameters among cases and controls except for fasting blood sugar levels while there was a significant difference (p-value: 0.000) in the mean values of systolic blood pressure among cases and controls. Similarly, the values of diastolic blood pressure were also significantly different (p-value: 0.000) among cases and controls. The values of total blood cholesterol, LDL, triglycerides and HDL were also significantly different among cases and controls. There was a significant relationship between consumption of chicken, eggs, beef, yogurt, junk food, fresh vegetables, and fruits, and incidence of CAD. Consuming milk every day, and consuming fish weekly and consuming ghee had no significant association with the risk of coronary artery disease. On the other hand, from the findings of the unadjusted model, there was a significant association between CAD risk and intake of chicken, beef, egg, yogurt, junk food, fish, vegetables, and fruits. Conclusions: Diet is a risk factor for coronary artery disease and can be adjusted to reduce the risk of CAD. A key finding is that consumption of chicken, beef, eggs and junk food are associated with a high risk of CAD whereas consumption of ghee is not associated with the risk of CAD. Full article

With the immersion of a plethora of technological tools in the early post-COVID-19 era in university education, instructors around the world have been at the forefront of implementing hybrid learning spaces for knowledge delivery. The purpose of this experimental study is not only to divert the primary use of a YouTube channel into a tool to support asynchronous teaching; it also aims to provide feedback to instructors and suggest steps and actions to implement in their teaching modules to ensure students’ access to new knowledge while promoting their engagement and satisfaction, regardless of the learning environment, i.e., face-to-face, distance and hybrid. Learners’ viewing habits were analyzed in depth from the channel’s 37 instructional videos, all of which were related to the completion of a computer-aided mechanical design course. By analyzing and interpreting data directly from YouTube channel reports, six variables were identified and tested to quantify the lack of statistically significant changes in learners’ viewing habits. Two time periods were specifically studied: 2020–2021, when instruction was delivered exclusively via distance education, and 2021–2022, in a hybrid learning mode. The results of both parametric and non-parametric statistical tests showed that “Number of views” and “Number of unique viewers” are the two variables that behave the same regardless of the two time periods studied, demonstrating the relevance of the proposed concept for asynchronous instructional support regardless of the learning environment. Finally, a forthcoming instructor’s manual for learning CAD has been developed, integrating the proposed methodology into a sustainable academic educational process. Full article

The pandemic has had a major effect on engineering education, transforming both current and future teaching practice. The physical meetings between student and teacher have during the pandemic been replaced by online contact and recordings of lectures and demonstrations. In this paper, the focus is on computer aided design (CAD) teaching for first-year engineering students. CAD is a topic usually characterized by a close contact by student and teacher, with hands-on instruction at the computer using the CAD software. In the paper, the experiences and learnings from the rapid shift to on-line teaching in CAD are summarized and discussed, and learnings and takeaways for a redesign of future CAD teaching are discussed. Both the students’ learning and their mental wellbeing are evaluated. It is found that on a general level, the students were satisfied with the online teaching and rated it as better or equal to traditional teaching. However, there is still room for improvement, since some students found the situation stressful and pointed out the difficulty to ask questions online. The findings are based on a student survey, existing literature, and the authors own teaching practices during the pandemic. Full article