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Found 6278 publications

Understanding the Employment Expectations of Young Professionals: A Study by Education Level

Gábor Szábo-Szentgróti Zsolt Sándor Kőmüves Gábor Hollósy-Vadász Gelencsér Martin

Publication Name: Journal of Ecohumanism

Publication Date: 2024-09-20

Volume: 3

Issue: 7

Page Range: 564-577

Description:

Young employees have to make many trade-offs in their job search and are often confronted with a need for more skills and abilities. In our survey, we investigated the expectations of young employees towards employers about their level of education and the factors that influence/inhibit their job placement. The results confirmed that remuneration, motivation, an inspiring work environment, and career opportunities offered by employers play a significant role in job choice. The young employees' responses showed that they feel underprepared for the challenges of the labor market and see the solution to this problem in increasing the number of practical training hours. The study highlights the differences in the expectations of students at different levels of education and could be a starting point for further research.

Open Access: Yes

DOI: 10.62754/joe.v3i7.4225

Comparative analysis of NLP-driven MCQ generators from text sources

Ferenc Erdos Richard Nemeth Vijayakumar Varadarajan Stephen Afrifa Asmae Azzi

Publication Name: Computers and Education Artificial Intelligence

Publication Date: 2025-12-01

Volume: 9

Issue: Unknown

Page Range: Unknown

Description:

The application of learning sciences with technology has been shown to boost learner interactions, yet the potential of advanced tool, particularly those that leverage Natural Language Processing (NLP), still very much untapped in learning contexts. This paper speaks to this age-old problem of generating quality Multiple-Choice questions (MCQs) – a prevalent but time-consuming mode of assessment – via the suggested comprehensive comparison study of template-based AI solutions. The study contrasts general-purpose Large Language Models (LLMs) with specialized MCQ-focused AI programs. The scientific approach employed was quite stringent, where each of the software applications was benchmarked using a common dataset of text across varying levels of complexity and topic. Results indicate that general-purpose LLMs, especially DeepSeek and ChatGPT, consistently present higher performance and reliability, especially when processing complex textual content. Whereas specialized tools offer distinctive formatting options, they exhibit decreasing performance as texts become more complex and signify strong operation constriction at the free versions. Developing solid and effective distractors turned out to be a complicated task for all the tested tools. We conclude the paper by presenting a standardized assessment model, making evidence-based recommendations for developers and teachers, and suggesting ways to incorporate various AI capabilities into modern educational assessment effectively.

Open Access: Yes

DOI: 10.1016/j.caeai.2025.100440

Naija, the missing spectacle: guidebooks on Nigeria in the neoliberal era

Adam Mayer

Publication Name: African Identities

Publication Date: 2024-01-01

Volume: 22

Issue: 1

Page Range: 213-228

Description:

Nigeria, long a quintessential terrain for the expatriate gaze more than the tourist gaze, has now very nearly disappeared as a topic from standard Western issued guidebooks. The gap in publications was very noticeable by the second decade of the 21st century, but it came as a culmination of the country’s diminishing role in those for the last four neoliberal decades. The country has apparently lost its identifiable role as spectacle in global capitalism in the Debordian sense. At the same time, space opened up for radical Western guidebooks and in the last decade, radical homegrown guides that reflect and celebrate the African gaze on Africa, with a new and unashamedly local frame of reference and context. Not surprisingly, this overlaps meaningfully with socialist and feminist political commitment in most relevant literature. This article deals with the projected image of Nigeria in guidebooks foreign, as well as domestic.

Open Access: Yes

DOI: 10.1080/14725843.2021.2008303

Bacterial memetic algorithm for simultaneous optimization of path planning and flow shop scheduling problems

János Botzheim Yuichiro Toda Naoyuki Kubota

Publication Name: Artificial Life and Robotics

Publication Date: 2012-10-01

Volume: 17

Issue: 1

Page Range: 107-112

Description:

The paper deals with simultaneous optimization of path planning of mobile robots and flow shop scheduling problem. The goal of the path planning problem is to determine an optimal collision-free path between a start and a target point for a mobile robot in an environment surrounded by obstacles. The objective is to minimize the path length without colliding with an obstacle. On the other hand, shop scheduling problems deal with processing a given set of jobs on a given number of machines. Each operation has an associated machine on which it has to be processed for a given length of time. The problem is to minimize the overall time demand of the whole process. In this paper, we deal with two robots carrying items between the machines. Bacterial memetic algorithm is proposed for solving this combined problem. The algorithm is verified by experimental simulations and compared to classical techniques.

Open Access: Yes

DOI: 10.1007/s10015-012-0021-9

Generic optimal power flow solution associated with technical improvements and emission reduction by multi-objective ARO algorithm

Amlak Abaza Asmaa F. Barakat Zakeria Elbarabry Ragab A. El-Sehiemy

Publication Name: Scientific Reports

Publication Date: 2025-12-01

Volume: 15

Issue: 1

Page Range: Unknown

Description:

In modern power engineering, the optimal operation aims to achieve the basic requirements of the electrical power grid, meet various technical and economic aspects, and preserve the environmental limits within their accepted bounds. In this line, the current paper finds the optimal operational scheduling of the power generation units that cover the load requirements, considering different frameworks of the optimal power flow (OPF) problem involving single- and multi-objective functions. Technical, economic, and emissions objective functions are considered. Artificial rabbits’ optimization (ARO) is developed to find the optimal OPF framework solution. The effectiveness of the proposed algorithm is evaluated through a comprehensive comparison study with the existing works in the literature. With six IEEE standard power systems, 22 different cases are implemented to test the ARO performance as an alternative to solve the OPF problem. Two of these systems are considered small-size systems, 30-, and 57-test systems, while the other four are large-scale power systems (IEEE 300, 1354, 3012, and 9241 test systems) to expand the validation scope of this paper. This comparison validates the scalability and efficiency of the ARO algorithm. The impact of varied population size and maximum iteration number is tested for two test systems, the most benchmarking test systems. It was proven that the routine of ARO has robust and superior competitive performance compared with others at fine convergence rates. Significant improvements are acquired in the range of 47% in the technical and economic issues by accepting the environmental concerns.

Open Access: Yes

DOI: 10.1038/s41598-025-09976-y

Iterative Feedback Tuning of Anti-Windup PI Fuzzy Control of Tower Crane System Payload Position

Claudiu Pozna Radu Emil Precup Miruna Maria Damian Raul Cristian ROMAN

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This paper proposes the data-driven tuning of low-cost Proportional-Integral (PI) fuzzy control of the payload position of tower crane systems using Iterative Feedback Tuning (IFT). A back-calculation and tracking anti-windup diagram is included to prohibit integrator windup and compensate for the process's dead-zone and saturation nonlinearity. A two-stage tuning strategy is proposed. In the first stage, the parameters of the fuzzy logic part of the PI fuzzy controller and the anti-windup tracking gain are optimally tuned in a model-based manner using an original version of the hybrid Particle Filter-Particle Swarm Optimization algorithm, improved by adding an information feedback model. In the second stage, the parameters of the linear part of the PI fuzzy controller are tuned in a data-driven manner using IFT, and then mapped to the remaining PI fuzzy controller parameters using the modal equivalence principle. The efficacy of the new data-driven fuzzy control strategy is demonstrated through experimental results, and the comparison shows the performance improvement over other strategies designed using competing optimization algorithms.

Open Access: Yes

DOI: 10.1109/FUZZ62266.2025.11152023

Parametric approximation of fuzzy exponent for computationally intensive problems

János Botzheim Peter Foldesi

Publication Name: International Journal of Innovative Computing Information and Control

Publication Date: 2012-08-01

Volume: 8

Issue: 8

Page Range: 5725-5744

Description:

The paper deals with the investigation of the critical non-linear factors and NP-hard problems of real-life decision-making processes. When using non-linear utility/objective functions to represent the value of various options in the search space or when NP-hard problems arise, often soft computing techniques must be applied for optimization. Many times significant uncertainty must be handled as well, so the use of fuzzy numbers can be an efficient method to cope with ambiguity and lack of information. The fuzzy extensions for heuristic based optimizing algorithms often face the problem of an increased number of calculations required to find the solutions. Appropriate representation of the fuzzy power function for non-linear cases is to be used so that it can keep the required computation time and resources at a reasonable level. © 2012 ICIC International.

Open Access: Yes

DOI: DOI not available

Predictive Maintenance and Predictive Repair of Road Vehicles—Opportunities, Limitations and Practical Applications †

István Lakatos Jozsef Nagy

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

With drastic increases in the complexity of road vehicles, increasing environmental and cost pressures have led to the obsolescence of previous fixed-schedule maintenance systems. The aerospace industry, following the road vehicle industry, is also beginning to use the predictive maintenance method increasingly widely. A possible next step for critical breakdowns could be a predictive service. While preventive maintenance is able to be used more frequently, the possibility of preventive repair is also limited to the fault symptoms, and is unsuitable for preventing fast-running breakdowns. Due to the current state of technological development in this area, it will take a few more years for lower-priced cars to catch up to the sensor and data structures of current premium-series vehicles, such that the mass use of these methods in road vehicles can become widespread.

Open Access: Yes

DOI: 10.3390/engproc2024079027

Halal tourism research in Indonesian context: a bibliometric analysis

Mohammad Fakhrul Islam Md Abu Issa Gazi Md Billal Hossain Taufiq Kurniawan

Publication Name: Discover Sustainability

Publication Date: 2025-12-01

Volume: 6

Issue: 1

Page Range: Unknown

Description:

Halal tourism is a growing sector of tourism that has attracted considerable attention in recent years due to its potential for economic growth and the need to meet the demands of Muslim travelers. This study aims to provide a comprehensive overview of halal tourism research in Indonesia through the utilization of bibliometric approach. The study utilizes Scopus database to analyze the publication trends, co-authorship, and thematic analysis, as well as the future research directions on this field in the context of Indonesia spanning the years 2017 to 2024. The findings indicate that there is a disparity in the involvement of authors and affiliations from Indonesia in terms of publications. The results show consistent growth in Indonesian publications, but emphasize the need for better quality and global dissemination. Moreover, the findings suggest that Indonesia plays a key role in the development of tourism in Indonesia due to its Muslim population and integration of Islamic principles in education and tourism. These findings highlight the importance of understanding Muslims tourists’ behavior, political economy influences, and service quality in different regions of Indonesia, thereby informing policy-making, industry practices, and future research agendas in this field.

Open Access: Yes

DOI: 10.1007/s43621-025-00959-7