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Publications - 6674

Liver Cancer Classification Approach Using Yolov8

Belal Al-Khateeb Fatimah Ihsan Abdulsahib László T. Kóczy Szilvia Nagy

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1176 LNNS

Issue: Unknown

Page Range: 14-21

Description:

Liver cancer is a common and often fatal disorder that is becoming more commonplace worldwide. An accurate and timely diagnosis is necessary for both effective treatment and patient survival. In machine learning techniques, particularly deep learning, obtaining a large and diverse dataset is still a challenge for deep neural network training, particularly in the medical industry. This paper presents a classification of circulating tumor cells based on the YOLOv8 algorithm. Tumor cell identification and classification can be achieved by utilizing the algorithm’s multi-layer high-level stacking, weight sharing, local connection, and pooling characteristics. The goal is to design a liver cancer classification system that makes it easier and increases the efficiency of doctors in analyzing the results of liver cancer. The models show the absolute the accuracy is 100%, 100%, 98%, 96% to Yolov8n, Yolov8s, Yolov8m, and Yolov8l respectively.

Open Access: Yes

DOI: 10.1007/978-3-031-73997-2_2

Time of application and cultivar influence on the effectiveness of microalgae biomass upon winter wheat (Triticum aestivum L.)

Z. Molnár Tibor Janda Lamnganbi Mutum Wogene Kabato

Publication Name: Cereal Research Communications

Publication Date: 2024-09-01

Volume: 52

Issue: 3

Page Range: 1153-1161

Description:

The capability of microalgae had been studied for a long time; however, some basics of using microalgae as a biostimulant are still in question. In the present work, experiments were conducted to reply to questions such as (a) how does the application time affect the effects of microalgae treatments and (b) does variety or genetic variation cause differences in the effect of microalgae biomass application on the plants? The different times of application had different weightage on different parameters; however, when applied at the early reproductive stage the yield as well as the nitrogen % in grain was significantly affected. As per the comparison, the result suggested that varietal differences had negligible differences in biological yield, hexose content, and total phenol content. Furthermore, microalgae biomass treatment irrespective of the strain species or genus influences the biological photosynthate accumulation and nitrogen uptake or in short, the efficiency of uptake. Finally, the metabolomic analyses suggested the influence of the microalgae strains on the biochemical composition of the plants.

Open Access: Yes

DOI: 10.1007/s42976-023-00443-w

FROM AI VIBRANCY TO LABOUR MARKET OUTCOMES: TESTING DISPLACEMENT ACROSS EDUCATION GROUPS

Aleksandra Kuzior Eszter Lukács Izabela Marszałek-Kotzur Khalima N. Sansyzbayeva Khalima N. Sansyzbayeva

Publication Name: Economics and Sociology

Publication Date: 2025-01-01

Volume: 18

Issue: 4

Page Range: 131-159

Description:

Artificial intelligence is expanding rapidly, intensifying policy concerns that more vibrant AI ecosystems may displace workers and increase unemployment. This study aims to test whether national AI vibrancy is associated with higher unemployment across education groups (advanced, intermediate and basic). Using an unbalanced panel of 34–35 countries from 2017 to 2023, the analysis combines Stanford’s AI Vibrancy Score with World Bank indicators and estimates two-way fixed-and random-effects models, employing Box–Cox/log transformations and dependence-robust inference (including country/time clustering and Driscoll–Kraay standard errors). The results provide little support for the displacement hypothesis. For advanced-education unemployment, AI vibrancy is statistically insignificant in the two-way FE model. It remains insignificant under all robust corrections (ln(AI vibrancy): β=−0.099, country-clustered p=0.494, time-clustered p=0.544, Driscoll–Kraay p=0.468). For basic-education unemployment, AI vibrancy is likewise insignificant in the two-way FE model (p=0.782). It remains insignificant under country clustering (p=0.830), time clustering (p=0.813) and Driscoll–Kraay inference (p=0.819). For intermediate-education unemployment, the AI coefficient remains insignificant under country clustering (p=0.273), time clustering (p=0.310), and Driscoll–Kraay corrections (p=0.226), indicating no robust unemployment-increasing effect across education groups during the observed period.

Open Access: Yes

DOI: 10.14254/2071-789X.2025/18-4/7

The Concept of Financial Stability in Theory and Law

János Kálmán

Publication Name: Financial and Economic Review

Publication Date: 2023-06-28

Volume: 22

Issue: 2

Page Range: 54-76

Description:

State intervention in the functioning of the economy is necessarily based on some public interests, which may serve as a reason for restrictive state action against the individual, or their freedoms and rights. In legislation, financial stability can be identified as a form of public interest, whereby the need to define the substance of the concept is expressed as an expectation towards the legislator, all the more so because it forms the basis of significant administrative intervention of the public authority type. The study analyses how the concept of financial stability appears in the literature, in legislation and in legal enforcement. Although the concept of financial stability is strongly reflected in the theoretical literature and even in legislation and legal enforcement, its substance is difficult to capture and has evolved constantly. In view of the above, the author offers a definition for the general legal concept of financial stability.

Open Access: Yes

DOI: 10.33893/FER.22.2.54

The Circle Group Heuristic to Improve the Efficiency of the Discrete Bacterial Memetic Evolutionary Algorithm Applied for TSP, TRP, and TSPTW

Boldizsár Tüű-Szabó Ali Jawad Ibada László T. Kóczy

Publication Name: Symmetry

Publication Date: 2025-10-01

Volume: 17

Issue: 10

Page Range: Unknown

Description:

The quality of the initial population is a critical factor in the convergence speed and overall performance of an optimization algorithm. A well-structured initial population can significantly enhance the exploration capabilities of the algorithm, allowing it to more efficiently traverse the solution space and converge more quickly and reliably towards optimal or near-optimal solutions. In this paper, we present the Circle Group Heuristic (CGH), a spatially structured initialization method, for generating high-quality initial populations to enhance the convergence speed of the Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA) in solving the Traveling Salesman Problem (TSP) and related combinatorial optimization problems. This work extends the CGH beyond the TSP to a broader class of routing problems. The results show that the integration of CGH into DBMEA demonstrated consistent performance improvements on the TSP, the Traveling Repairman Problem (TRP), and the Traveling Salesman Problem with Time Window (TSPTW) instances of varying sizes. In particular, CGH provided high-quality starting points that accelerated convergence and reduced computational cost. In all tested scenarios, DBMEA enhanced with CGH and consistently preserved the best-known solution quality while reducing execution time.

Open Access: Yes

DOI: 10.3390/sym17101683

Laboratory and Numerical Investigation of Pre-Tensioned Reinforced Concrete Railway Sleepers Combined with Plastic Fiber Reinforcement

Miklós Kuczmann Szabolcs Fischer I. Fekete Zoltán Major Richard Nagy Szabolcs Szalai Mykola Sysyn Attila Németh Dmytro Kurhan R. M. Movahedi Sarah Khaleel Ibrahim Dániel Harrach Szabolcs Kocsis Szurke Vivien Jóvér Hanna Csótár Gusztáv Baranyai Bálint Molnár Klaudia Madarász András Pollák Bence Hermán L. Gáspár

Publication Name: Polymers

Publication Date: 2024-06-01

Volume: 16

Issue: 11

Page Range: Unknown

Description:

This research investigates the application of plastic fiber reinforcement in pre-tensioned reinforced concrete railway sleepers, conducting an in-depth examination in both experimental and computational aspects. Utilizing 3-point bending tests and the GOM ARAMIS system for Digital Image Correlation, this study meticulously evaluates the structural responses and crack development in conventional and plastic fiber-reinforced sleepers under varying bending moments. Complementing these tests, the investigation employs ABAQUS’ advanced finite element modeling to enhance the analysis, ensuring precise calibration and validation of the numerical models. This dual approach comprehensively explains the mechanical behavior differences and stresses within the examined structures. The incorporation of plastic fibers not only demonstrates a significant improvement in mechanical strength and crack resistance but paves the way for advancements in railway sleeper technology. By shedding light on the enhanced durability and performance of reinforced concrete structures, this study makes a significant contribution to civil engineering materials science, highlighting the potential for innovative material applications in the construction industry.

Open Access: Yes

DOI: 10.3390/polym16111498

Uncovering key factors in differentiating fermented milk by feeding type and probiotic potential with E-nose and NIRS techniques

Tamás Tóth George Bázár Zoltan Kovacs András Szabó Omeralfaroug Ali Mariem Majadi

Publication Name: Food Control

Publication Date: 2025-10-01

Volume: 176

Issue: Unknown

Page Range: Unknown

Description:

1: This study evaluates the capabilities of near-infrared spectroscopy (NIRS) and electronic nose (E-nose) in characterizing fermented milk, focusing on the impact of feeding type and probiotic potential. Three separate trials were conducted to compare the effects of Total Mixed Ration (TMR) cow feeds enriched with polyunsaturated fatty acids against control feeds. Milk samples, collected from the feeding trials, were fermented with three Lactobacillus strains categorized based on their probiotic potential: moderate (M), non-probiotic (N), and probiotic (P). The probiotic (P) strain exhibited distinct biochemical changes that were easily identifiable by both technologies. The NIRS and E-nose datasets were analysed separately to highlight the individual strengths and unique contributions of each technique in discriminating sample attributes. Specific NIRS wavelengths (1600–1800 nm), associated with unsaturated fatty acids like oleic and linoleic acids, acted as reliable markers for distinguishing milk samples based on the feeding type, while the 1300–1600 nm range helped differentiate strains. E-nose analysis identified volatile compounds such as hexanal and 1-hexen-3-one, formed from the oxidative degradation of unsaturated fatty acids, highlighting the impact of bacterial strains and milk composition on aroma and flavor. The fatty acid profile, particularly the unsaturated fatty acids and their derivatives, played a crucial role in strain and diet selection, offering valuable insights into the development of fermented milk products with specific probiotic characteristics.

Open Access: Yes

DOI: 10.1016/j.foodcont.2025.111376

Impact of Gamification on Student Engagement and Behavior Moderated by Public Policy in Higher Education Institutions

Md Billal Hossain Tayyaba Zia Muhammad Usman Khan

Publication Name: Human Behavior and Emerging Technologies

Publication Date: 2025-01-01

Volume: 2025

Issue: 1

Page Range: Unknown

Description:

This study investigates the impact of gamification on student engagement moderated by public policy in higher education. The psychological perspective of student engagement refers to the deep involvement of students in learning and acquiring knowledge. There are three dimensions of student engagement: cognitive, emotional, and behavioral. This study selects computer science students who were already enrolled in gamification classes. The selected sample of the study is based on multiple cities of Pakistan, including Lahore, Islamabad, and Karachi. The selection of institutes from three cities is made based on a convenience sampling technique. A 5-point Likert scale questionnaire is used to assess the role of gamification and its impact on gaming platforms and student engagement with dummy variables as public policy management that controls and devises rules and regulations for gamification in higher education departments. We examine the impact of gamification content, challenges, rewards, and the Kahoot platform on student engagement. There are positive and weak results regarding the impact of gamification, as the Kahoot platform itself has no attraction for students, but it provides a user-friendly medium to play games. There are a few topics for future research, such as the role of gamification platforms and their significant impact on students’ motivation and the role of public policy regarding gamification platforms and engagement. Gamification challenges and rewards have been discussed in the study to observe the mediating impact. The analysis of the study is carried out in SmartPLS Version 4.0.

Open Access: Yes

DOI: 10.1155/hbe2/9026903

Power in the supply chain: a state-of-the-art literature review and propositions from the perspective of gender differences

Gilberto Marquez-Illescas Heba F. Zaher

Publication Name: Journal of Business and Industrial Marketing

Publication Date: 2024-05-30

Volume: 39

Issue: 6

Page Range: 1282-1310

Description:

Purpose: This paper aims to examine the existing literature on firms’ power through the lens of the supply chain and highlights some gaps that could be covered by future research. Design/methodology/approach: This study uses a systematic framework-based review combining the insights of the antecedents, decisions and outcomes (ADO) and theories, contexts and methods (TCM) frameworks. The review was carried out using a sample of 108 articles published between 1984 and 2022 in 25 prestigious journals. Findings: The ADO framework maps out the state of the art of the antecedents of power (i.e. sources and types of firm power), the decision to use power and the effect that exercising power over other firms may have on firm performance and the quality of inter-firm relationships. In addition, this framework highlights factors that mediate or moderate the decision to exercise power and the factors that mediate or moderate the outcomes of exercising power or power asymmetry. The TCM framework provides insights into the theories, contexts (i.e. countries, industries, level of analysis and sources of data) and methods used by the existing literature. The content analysis using the aforementioned frameworks provides the basis to elaborate propositions for future research on power in the supply chain from the perspective of gender differences. Research limitations/implications: This systematic literature review offers a comprehensive guide for researchers to understand the antecedents, decisions and outcomes of firm power in the supply chain, as well as the TCM used in the literature. The content analysis using frameworks provides a road map to investigate the proposed factors that might moderate the decision to exercise power and the outcome of exercising power or power asymmetry from the perspective of gender differences. In addition, based on content analysis, the authors make propositions about TCM that could be applied in future research. Practical implications: From a practical perspective, this systematic literature review may help managers to better understand the sources and consequences of their firm’s power. This would allow managers to make better decisions when negotiating with their supply chain parties, which could potentially lead to better performance for their firms and the whole supply chain. Originality/value: To the best of the authors’ knowledge, this study is the first to conduct a comprehensive systematic literature review of the different dimensions of firms’ power in the supply chain.

Open Access: Yes

DOI: 10.1108/JBIM-10-2022-0484