Each year about 350 students get accepted to the three BSc programmes of BME, Faculty of Chemical Technology and Biotechnology having heterogeneous knowledge in mathematics. In September 2018 we tested the freshmen’s competency in mathematics with a novel computerized test with which we could not only measure their procedural competences but also their ability to apply high school knowledge while solving unusual exercises. Our goal was to measure the students’ competences and based on the test results offer them catch-up or talent-development opportunities. In this study 242 students were tested: 110 chemical, 93 biochemical and 39 environmental engineers. The test took 70 minutes, consisted of 17 exercises and was carried out on computers. Students who studied higher level mathematics in high school wrote a different test from those who did not. As a result, we got a comprehensive picture of the knowledge the students have acquired in high school. After analysing their performance in the first semester, it can be stated that our hypothesis was verified. Namely, those who did perform well in the first two parts of our test (where basic procedural competence was tested in a classical way), also succeeded well later, while those having weak performance in these parts should be supported by close-up possibilities. Those who got great results for the third part (including unusual exercises) were also successful in the first semester. Moreover, it can also be concluded that although higher level mathematics is not a requirement to get into the university, its lack makes it much harder to be successful.

Zsolt Fehérváry, Gergely Bánhidi, Szilárd Sütő, Dániel Várnagy, & Péter Nagy. "Predictive Measures in Freshmen Engineering Education: An Empirical Study." Computer Engineering, vol. 13, no. 12, pp. 1–11, 2024.

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For STEM students, gaining an intuitive and deep understanding of mathematics is critical, because only then will they be able to successfully integrate it into their own field of study. The main obstacles of this are lack of motivation to learn mathematics, and students not being used to apply the gained knowledge. To discover solutions to overcome the presented difficulties, we developed a new program as a nonmandatory part of the Mechatronics and Energetics BSc courses at TU Budapest. Our aim is to augment the Calculus II. course in a way that accelerates the ability of application and motivates the students in gaining better understanding of mathematics. In the new course, we follow the fields taught in Calculus II., and help the students in understanding the most important concepts by looking at them from new, graphical perspectives. We also encourage them by discussing applications related to their field of interest – for example robot kinematics or neural nets. We test their knowledge by mini-quizzes, three homework assignments and one group project. The innovative course is of a great popularity – while being non-mandatory, 53 students applied, and the attendance rating is exceptional. Students complete assignments on time and are eager to work on their projects. In our concept paper, we will discuss the methodology and outcome of the course. In our experience, applying this concept would be very beneficial for all STEM students, so we are planning to develop the equivalent of the course to augment Calculus III. as well.

Anna Nováková and Viktor Mészáros. "Motivating Mechatronics and Energetics Students: A Specialized Approach to Applied Mathematics.." Computer Engineering, vol. 13, no. 12, pp. 12–21, 2024.

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Abstract not available.

"Eva Morales-Rodríguez, Santiago Gómez-Marin, Alejandro Serrano-Navarro,. ""Artificial Intelligence Assisted Histopathological Classification of Polyps in White-Light Colonoscopy via Surface Pattern Recognition"." Computer Engineering, vol. 13, no. 12, pp. 22–29, 2024.

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Abstract not available.

Rakesh K. Gavaskar and Rohan D. Kulkarni*. "Phytochemical Profiling and Ethnobotanical Significance of Catunaregam spinosa (Thunb.) Tirven." Computer Engineering, vol. 13, no. 12, pp. 30–35, 2024.

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this study investigated the effects of competitive, cooperative and individualistic classroom interaction strategies on learning outcomes in Basic Science. The sample for the study was drawn from JSS III Basic Science students from public Junior Secondary Schools in Abuja, Nigeria. Four schools were randomly selected from the area of study as a sample for the study. Treatment conditions were assigned to the sampled intact classes at random. The total sample of 161 students was used for the study. Two research questions guided the study, and Two hypotheses were tested at 0.05 alpha level. Basic Science Student Achievement Test (BASSAT) was developed as an instrument for data collection. Split-half method of reliability was used to obtain a reliability coefficient of 0.84. Mean and Standard Deviation was used to answer the research questions while the hypotheses were tested using Analysis of Variance (ANOVA) and Analysis of Covariance (ANCOVA). Tukey HSD post- hoc test was used to determine the direction of the differences. The findings of the study revealed that significant differences were found in the achievement of students exposed to competitive, cooperative and individualistic classroom interaction strategies than the conventional teaching strategy. Gender was found to be a significant factor affecting the achievement of Basic Science students exposed to competitive, cooperative and individualistic classroom interaction strategies and the conventional teaching strategy

Amara O. Adetoro, Fatima A. Jibril. "Exploring the Dynamics of Interpersonal Interactions in Basic Science Classrooms: A Comparative Analysis of Learning Outcomes." Computer Engineering, vol. 13, no. 12, pp. 36–43, 2024.

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— Nowadays, cardiovascular diseases are very common and are considered as the main causes of morbidity and mortality worldwide. Coronary Artery Disease (CAD), the most typical cardiovascular disease is diagnosed by a variety of medical imaging modalities, which have costs and complications. Therefore, several attempts have been undertaken to early diagnose and predict CAD status and progression through machine learning approaches. The purpose of this study is to present a machine learning technique for the prediction of CAD, using image-based data and clinical data. We investigate the effect of vascular anatomical features of the three coronary arteries on the graduation of CAD. A classification model is built to predict the future status of CAD, including cases of “no CAD” patients, “non-obstructive CAD” patients and “obstructive CAD” patients. The best accuracy was achieved by the implementation of a tree-based classifier, J48 classifier, after a ranking feature selection methodology. The majority of the selected features are the vessel geometry derived features, among the traditional risk factors. The combination of geometrical risk factors with the conventional ones constitutes a novel scheme for the CAD prediction.

Emmanouela N. Boura, Georgios D.. "Predictive Modeling of Cardiovascular Disease Progression Using Multimodal Machine Learning." Computer Engineering, vol. 13, no. 12, pp. 44–47, 2024.

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In this paper the effect of a nonstationary wave on cylindrical bodies with circular and rectangular cross sections is considered. The problem is solved in a flat setting, by a numerical method (FEM). Numerical results were obtained under the influence of the load by the single functions of Heuside.

Muhammad Akram Aliyev, Fatima Ziyadovna Sultonova, Dilmurodjon Amanovich Usmanov,. "Numerical Analysis of Plane Nonstationary Elastic Wave Impact on Cylindrical Structures." Computer Engineering, vol. 13, no. 12, pp. 48–58, 2024.

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The aim of this work is the in vitro evaluation of the antibacterial activities of essential oils extracted from three aromatic and Moroccan plants: Thymus vulgaris, Mentha spicata and Citrus limonum, on four bacterial strains: Staphylococcus aureus, Escherichia coli, Pseudomonas aerations and Klebsiella pneumoniae. These strains have been chosen for their pathological impact due to their pathogen city in relation to problems of resistance to common antibiotics. The results obtained showed that for the strains of Escherichia coli and Pseudomonas aerations, the essential oil of Thymus vulgaris, showed the highest antibacterial activity, while for the strains of Staphylococcus aureus and Klebsiella pneumonia, the essential oil of Menthe spicata which proved to be the most active.

Amine Bennis, Fatima Zahra Laalam, Yasmine Mokeddem,. "Evaluation of Antimicrobial Properties of Moroccan Plant-Derived Essential Oils." Computer Engineering, vol. 13, no. 12, pp. 59–68, 2024.

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Proton pump inhibitors [PPIs] are extensively used drugs for various indications. They are not approved for long term use by regulatory authorities. PPIs are also available as over the counter drugs which can lead to their inappropriate use. Amongst the adverse drug reactions [ADRs] of PPIs, dementia and Alzheimers disease [AD] are the recent ones. Inappropriate long term use of PPIs can lead to serious ADRs like myocardial infarction, nephropathy along with dementia. The possible mechanisms for PPIs induced dementia and AD are endothelial dysfunction, its aging and senescence. Effect on lysosomal function and proteostasis, shortening of telomere length, and inhibition of vacuolar ATPases [V-ATPases] of microglial lysosomal membrane also contribute for this pathology. Increased generation of beta amyloid [Aβ] peptide by inverse gama secretase modulation and augmentation of beta secretase are responsible for the generation and accumulation of Aβ along with its decreased degradation as a result of inhibition of V-ATPases in the microglia. Vitamin B 12 absorption is decreased due to long term use of PPIs. This also contributes for nerve damage as a result of impaired DNA synthesis, methylation and homocysteine neurotoxicity along with cognition impairment. Seizure like condition can be the result of hypomagnesemia induced by long term PPIs use. Thus long term, inappropriate use of PPIs invite serious and life threatening conditions which need to be kept in mind by the clinician before prescribing them.

Rohan A. Kulkarni, Aparna S. Desai, Shilpa B. Kale, Anushka A. Mehta. "Neuropharmacological Consequences of Proton Pump Inhibitors: A Systematic Review." Computer Engineering, vol. 13, no. 12, pp. 69–73, 2024.

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Computer-aided design (CAD) is a known tool for all mechanical and civil engineers, and it has been utilized for decades to help carry out everyday engineering design tasks. The evolution of CAD software and various information technology tools, e.g. virtual/augmented reality or 3D printing, has broadened the amount of engineers utilizing CAD. While learning CAD is an essential part in the curriculum of mechanical or civil engineering, there is a growing interest for learning CAD in other engineering disciplines also. To extend our teaching to students from other disciplines, our teaching has to be freed from the scheduled classrooms. The development of learning management systems, with help of auto-assessment systems, allows creation of semiautonomous courses. In traditional classroom teaching, the teacher can see the progress and the challenges in the learning during the contact sessions. In online teaching, more emphasis has to be put on the feedback and assessment methods. This paper presents the findings from the development of a place and time independent CAD course. The course teaches the basic tools and methods in the mechanical CAD education, starting from the creation of simple parts and ending with parametric design automatons. During the course, various tools are used to evaluate the student’s learning and to exchange feedback.

Sofia E. Rodriguez, Maria J. Hernandez. "Exploring the Potential of Blended Learning in Mechanical Engineering Education." Computer Engineering, vol. 13, no. 12, pp. 74–79, 2024.

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