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The Impact of a Science Center Student Lab Project on Subject Attitudes Toward STEM Subjects and Career Choices in STEM Fields

Szabolcs Rákosi Anikó Makkos Zoltán Csizmadia Boglárka Boldizsár

Publication Name: Education Sciences

Publication Date: 2025-09-01

Volume: 15

Issue: 9

Page Range: Unknown

Description:

This research examines the impact of the project ‘Development of Science Experiential Education Programs and Science Experiential Centres’, implemented by the Mobilis Science Center in Győr between 2017 and 2021. The professional and societal relevance of the program and research lies in the growing importance of STEM disciplines and careers worldwide in recent decades, ensuring a long-term supply of skilled workers. A vital tool for this is the development of curricula that meet the needs of the 21st century, as well as the innovation of teaching methods in science subjects. The research involves a review of the literature on experiential science teaching and subject attitudes, the role of science centers, and relevant project documents. The present research, involving 592 students, focused on attitudes toward technology and science, openness to STEM careers, and the experiences and memories of participants in the student lab theme days. The results of the statistical data analyses confirm the effectiveness of the experiential education methods used in the theme day sessions, as the students’ openness to STEM careers is higher for those who participated in the sessions compared to the non-participants. There are significant differences in the attitudes of girls and boys participating in the program toward science subjects. The results suggest that the success in stimulating interest in science was mainly due to the experiential nature of the sessions. Moreover, the research found that the project led to the strengthening of the participants’ personal and social skills. This study is the first to look at the impact of the project. The results shed light on how teaching STEM subjects using experiential pedagogical methods can contribute to the long-term effectiveness of Széchenyi István University’s enrollment efforts and lead to the economic success of companies in a region facing a significant labor shortage in STEM careers.

Open Access: Yes

DOI: 10.3390/educsci15091086

Analysis of Embankment Supported by Rigid Inclusions Using Plaxis 3D

Rashad Alsirawan

Publication Name: Acta Technica Jaurinensis

Publication Date: 2021-11-24

Volume: 14

Issue: 4

Page Range: 455-476

Description:

A rigid inclusion-supported embankment is used to overcome the problems of soft soils. This system is considered complex due to the various interactions between its elements, namely the embankment body, load transfer platform, geogrid layers, piles, and soft soils. The load transfer mechanism is based on the phenomenon of soil arching, the tension in the geogrid layers, support of the soft soils, and friction between piles and soft soil. In this paper, the first part highlights the behaviour of a rigid inclusion-supported embankment validated by field measurements, and the contribution of rigid inclusions technology to the reduction of settlement and creep settlement. In addition, the effect of geogrid in improving the load efficiency and reducing the settlements is presented. In the second part, a comparison is made between many analytical design methods and a three-dimensional finite element analysis method. The results show the inconsistencies between the analytical methods in calculating the load efficiency and the tension in the geogrid.

Open Access: Yes

DOI: 10.14513/actatechjaur.00615

Material Models to Study the Effect of Fines in Sandy Soils Based on Experimental and Numerical Results

Ammar N. Alnmr

Publication Name: Acta Technica Jaurinensis

Publication Date: 2021-11-24

Volume: 14

Issue: 4

Page Range: 651-680

Description:

Choosing and calibrating a robust and accurate soil material model (constitutive model) is the first important step in geotechnical numerical modelling. A less accurate model leads to poor results and more difficulty estimating true behaviour in the field. Subsequent design work is compromised and may lead to dangerous and costly mistakes. In this research, laboratory experimental results were used as a basis to evaluate several soil material models offered in Plaxis2D software. The deciding feature of the soil model was how well it could represent effects of percentage of fine material within sandy soils to simulate its behaviour. Results indicate that the Hardening Soil (HS) model works well when the percentage of fine (soft) materials is less than 10%. Above that level, the Soft Soil model (SS) becomes the most suitable. Finally, some important conclusions about this research and recommendations for future research are highlighted.

Open Access: Yes

DOI: 10.14513/actatechjaur.00625

Real network test of an iterative origin-destination matrix estimator in urban public transport

Richárd Horváth Balázs Horváth

Publication Name: 2014 18th International Conference on System Theory Control and Computing Icstcc 2014

Publication Date: 2014-12-11

Volume: Unknown

Issue: Unknown

Page Range: 715-719

Description:

The estimation of origin-destination matrices in urban public transport is an evergreen issue due to the fact that the key of the planning of public transport systems is the accurate prediction of the traffic load which requires a well-functioning assignment method and reliable passenger data (i.e. time-dependent OD matrix). This paper describes the theory of lately developed iterative estimation method and the first real network test results.

Open Access: Yes

DOI: 10.1109/ICSTCC.2014.6982502

Bacterial Memetic Algorithms for Order Picking Routing Problem with Loading Constraints

János Botzheim Tamás Bódis

Publication Name: Expert Systems with Applications

Publication Date: 2018-09-01

Volume: 105

Issue: Unknown

Page Range: 196-220

Description:

Order picking is the most labour and capital intensive warehousing operation whose primary development field is routing optimisation due to its time consuming nature. The Order Picking Routing Problem is a special case of the vehicle routing problem with loading constraints, when the operator visits picking positions and collects items to build transport unit. Where the stacking and stability challenges are relevant during the picking of ordered items and exact routing algorithms are not available, the order picking operators have huge challenges to sequence the order picking list. They should take into consideration several factors by themselves, such as product properties, order picking list characteristics, and order picking system properties. The goal of the proposed research is to support the order picking operators in order to make more objective decisions in decreasing the order picking lead time, building stable transport units, and avoiding product damages, when industrially relevant, but rarely discussed, order picking sequencing based on stacking property is necessary. The paper defines the Order Picking Routing Problem based on Pallet Loading Feature (OPRP-PLF) and presents Bacterial Memetic Algorithm (BMA) based solutions for it, which is compared to Simulated Annealing (SA) algorithms. BMA has already been applied for Travelling Salesman Problem (TSP) but never used for the defined OPRP-PLF. The paper describes several BMA operators, most of them have an alternative which can be completed with SA based decisions. Using the BMA operators with SA methodology is a novelty of the proposed algorithms, which might support a quicker approximation to the global optimum. The possible combination of BMA operators will be evaluated with shorter and longer order picking lists and compared to SA algorithms on the same basis. The simulation results highlight, that allowing unit load reconstruction could decrease the order picking lead time and the developed BMA algorithms are more effective for OPRP-PLF than the SA algorithms. The paper concludes that the SA combined BMA operators are more effective than the SA-less operators in the case of shorter (less than about 20 records) order picking lists. While the shorter lists are the most commonly occurring order picking lists of warehouses, the SA combined BMA operators can increase the effectiveness of the OPRP-PLF optimisation.

Open Access: Yes

DOI: 10.1016/j.eswa.2018.03.043

Innovative Approaches in Railway Management: Leveraging Big Data and Artificial Intelligence for Predictive Maintenance of Track Geometry

Szabolcs Fischer Ferenc Horvát Richárd Nagy

Publication Name: Tehnicki Vjesnik

Publication Date: 2024-01-01

Volume: 31

Issue: 4

Page Range: 1245-1259

Description:

This paper introduces and describes a method for extracting, processing, and analyzing large amounts of track geometrical data. It allows for a more accurate description of the orbital deterioration correlations than currently applied procedures, and it seems to be more valuable and efficient in practice. The initial data were the track geometry measurement and classification data for the whole national network provided by the Hungarian State Railways, i.e., the MÁV PLC. The MÁV provided data for the whole Hungarian railway network for 27 half-years, measured and recorded by the FMK-004 type special diesel locomotive (i.e., track geometry measuring car). The paper discusses the development of a procedure to automatically compute important condition ratings from the available data set of millions of units according to the algorithms created for railway industry colleagues, thus helping the maintenance and renewal decision-making process. Functions have been developed to classify the track geometry condition of a given railway line, to predict how long the service level can be maintained without intervention (i.e., e.g., lining, leveling, and tamping with a mechanized maintenance train), to determine the time of the necessary maintenance intervention, the time of the upgrade (rehabilitation or modernization), and to develop a track geometry prediction procedure that makes full use of the mathematical and computational possibilities of the present day.

Open Access: Yes

DOI: 10.17559/TV-20240420001479

Cognitive infocommunications (CogInfoCom)

Adam B. Csapo Gyula Sallai Peter Baranyi

Publication Name: Cognitive Infocommunications Coginfocom

Publication Date: 2015-01-01

Volume: Unknown

Issue: Unknown

Page Range: 1-219

Description:

This book describes the theoretical foundations of cognitive infocommunications (CogInfoCom), and provides a survey on state-of-the-art solutions and applications within the field. The book covers aspects of cognitive infocommunications in research fields such as affective computing, BCI, future internet, HCI, HRI, sensory substitution, and virtual/augmented interactions, and also introduces newly proposed paradigms and initiatives under the field, including CogInfoCom channels, speechability and socio-cognitive ICT. The book focuses on describing the merging between humans and information and communications technology (ICT) at the level of cognitive capabilities with an approach towards developing future cognitive ICT.

Open Access: Yes

DOI: 10.1007/978-3-319-19608-4

Compression ignition linear engine design variable effects

Cs Tóth-Nagy Parviz Farmouri Nigel N. Clark

Publication Name: American Society of Mechanical Engineers Internal Combustion Engine Division Publication ICE

Publication Date: 2011-12-01

Volume: Unknown

Issue: Unknown

Page Range: 1029-1036

Description:

A linear engine/alternator was simulated and designed, and a prototype was built at West Virginia University. This paper describes the engine and presents original operational data. The linear engine was a two-cylinder, two-stroke, common rail direct injection, compression ignition engine. The engine was built using off the shelf components to reduce cost where it was possible. Engine control, injection duration and timing, were achieved using a microcontroller with piston position as a control input. Experiments on the engine were performed to study its behavior. The studied variables included mass of the translator, amount of fuel injected, injection timing, load, and stroke with operating frequency and mechanical efficiency as the basis of comparison. At this point of development, the engine was far from optimized; however, the trends in engine behavior were clear. Increasing the translator mass resulted in decreased operating frequency. Increasing the stroke length also resulted in decreased operating frequency. Overcharging and increased fueling rate, both, resulted in increased power output, efficiency, and operating frequency. Advancing injection timing resulted in increased frequency, efficiency and power output, and decreased stalling frequency. This suggests that the engine operated in an HCCI-like fashion. © 2011 by ASME.

Open Access: Yes

DOI: 10.1115/ICEF2011-60157

The Measurement of Indirect Effects in Project Appraisal

Mattias Juhász Tünde Vörös Krisztián Koppány

Publication Name: Transportation Research Procedia

Publication Date: 2016-01-01

Volume: 13

Issue: Unknown

Page Range: 114-123

Description:

Imperative for growth is dominating the present economic conditions also influencing decision-making to a large extent. Therefore, the analysis of economic impacts plays a more and more significant role in the selection of transport projects. However, ex-ante project appraisal is facing an increasing problem concerning the measurement of indirect economic effects. This paper aims to investigate the accurate way of quantifying such benefits via the analysis of theoretical issues, the review of existing approaches and a case study.

Open Access: Yes

DOI: 10.1016/j.trpro.2016.05.012