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Publications - 6278

From Agricultural and Forest Land Development to Urban Landscapes: Green Energy's Influence on Global Pollutant Emissions

Laszlo Vasa Urszula Mentel Muhammad Adnan Bashir Irum Shahzadi Li Qing

Publication Name: Land Degradation and Development

Publication Date: 2025-08-15

Volume: 36

Issue: 13

Page Range: 4672-4690

Description:

There is a sharp inclination to use green energy sources such as solar, hydro, and nuclear energy to accomplish the COP29 targets and sustainability goals. The current study attempts to explore the role of green solar, hydro, and agriculture land use apropos global pollutant emissions. In doing so, the study examines the impacts of agricultural land use, forest area, and urbanization on global emissions. The study uses the global historical data from 1990Q1 to 2021Q4. The authors employ the diagnostic tests, autoregressive distributed lag models, and causality analysis for empirical analysis. The autoregressive distributed lag model's results mentioned that agricultural land and forestry also help improve environmental sustainability and urban landscape in the short and long run. In addition, the results find linear and nonlinear impacts of green solar and nuclear energy to mitigate the global carbon emission levels. The structural change policies of industrialization and urbanization remain the critical obstacles to attaining environmental sustainability. The on-hand research contributes to the ongoing challenges faced by global economies regarding green energy sources, agriculture land management and their criticality in attaining a sustainable environment by reducing carbon emissions. The research recommends further investments in green solar, agriculture land management, and incentivizing clean energy sources to achieve sustainable global development.

Open Access: Yes

DOI: 10.1002/ldr.5661

Genome-Wide Association Study of Exercise Addiction Among Elite Wrestlers

Ildus I. Ahmetov Seyrani Koncagul Mehmet A. Ergun Hasan H. Kazan Celal Bulgay Anıl Kasakolu Mark D. Griffiths Türker Bıyıklı Mark D. Griffiths Attila Szabo

Publication Name: Brain Sciences

Publication Date: 2025-02-01

Volume: 15

Issue: 2

Page Range: Unknown

Description:

Background: Exercise addiction, marked by an inability to control exercise and associated with distress that clinically impairs daily activities, is a significant but underrecognized issue in physical activity and health. While its physiological, psychological, and behavioral aspects have been studied, the genetic basis of exercise addiction remains poorly understood, requiring further investigation. The present study conducted a genome-wide association study of exercise addiction among elite Turkish wrestlers. Methods: The sample comprised 67 male wrestlers (34 freestyle wrestlers and 33 Greco-Roman wrestlers). Exercise addiction was assessed using the Exercise Addiction Scale. Whole-genome genotyping was performed using DNA microarray. Results: Using a genome-wide approach (p < 1.0 × 10−⁵), we identified six suggestively significant single-nucleotide polymorphisms (SNPs) associated with exercise addiction status. Of these, the high-addiction alleles of five SNPs (PRDM10 rs74345126, near PTPRU rs72652685, HADHB rs6745226, XIRP2 rs17614860, and near GAREM2 rs1025542) have previously been associated with an increased risk of mental health disorders such as anxiety and depression or higher levels of physical activity. We also examined potential associations between the genetic markers previously linked to addiction-related traits such as obsessive–compulsive disorder and cigarette smoking, and personality traits linked to negative emotions including neuroticism. Using this candidate gene approach (p < 0.05), we identified three additional SNPs associated with exercise addiction in the same direction of association (DEFB135 rs4841662, BCL11A rs7599488, and CSRNP3 rs1551336). Conclusions: The present study provides preliminary evidence for the genetic basis of exercise addiction, highlighting specific SNPs that may play a role in the development of this condition among elite wrestlers.

Open Access: Yes

DOI: 10.3390/brainsci15020102

A survey of the applications of fuzzy methods in recommender systems

Peter Foldesi A. Tormási Brigita Sziová László T. Kóczy

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2018-01-01

Volume: 361

Issue: Unknown

Page Range: 483-495

Description:

In the past half century of fuzzy systems they were used to solve a wide range of complex problems, and the field of recommendation is no exception. The mathematical properties and the ability to efficiently process uncertain data enable fuzzy systems to face the common challenges in recommender systems. The main contribution of this paper is to give a comprehensive literature overview of various fuzzy based approaches to the solving of common problems and tasks in recommendation systems. As a conclusion possible new areas of research are discussed.

Open Access: Yes

DOI: 10.1007/978-3-319-75408-6_37

Rethinking sustainable tourism through innovation and knowledge: A conceptual framework for policy and practice

Gagan Deep Sharma Elżbieta Roszko-Wójtowicz Dariusz Cichon Jaya Singh Parihar Aeshna Kharbanda

Publication Name: Equilibrium Quarterly Journal of Economics and Economic Policy

Publication Date: 2025-12-30

Volume: 20

Issue: 4

Page Range: 1459-1491

Description:

Research background: Tourism plays a central role in global economic development and cross-cultural exchange. In the wake of the COVID-19 pandemic, there has been a growing focus on integrating sustainability, innovation, and equity into tourism practices. Traditional models have often overlooked the complex interplay of social, environmental, and economic challenges faced by destinations. This has spurred a rethinking of tourism development, driven by community empowerment, climate concerns, and technological advances. Purpose of the article: The study aims to explore how a transformative approach to tourism can be achieved by centering community participation, embracing sustainability, and incorporating innovative social practices. It focuses on the intersections of social innovation, ruralluxury travel, heritage preservation, and inclusive governance. The authors seek to construct a conceptual framework that captures emerging themes and sub-themes within sustainable tourism, offering practical insights for policymakers and industry stakeholders. Methods: An integrative review approach was applied, guided by PRISMA methodology. Following keyword extraction, topic modeling was conducted using Latent Dirichlet Allocation (LDA), a widely used technique for discovering hidden topics in text data. Over 12,000 academic sources from the Scopus database were synthesized. A conceptual model was developed through inductive analysis to identify interrelationships between tourism-related themes. Findings & value added: The key findings highlight the transformative potential of strategies that align tourism practices with environmental stewardship, local empowerment, and innovative management approaches. The study underscores actionable implications such as the establishment of innovation hubs, and cross-sector partnerships, offering pathways to foster a tourism sector that not only supports global sustainable development goals, but also ensures long-term community resilience and equitable development.

Open Access: Yes

DOI: 10.24136/eq.4010

Normal wiggly probabilistic hesitant fuzzy-based TODIM approach for optimal solid waste disposal method selection

Dragan Pamucar Jawad Ali

Publication Name: Heliyon

Publication Date: 2025-01-30

Volume: 11

Issue: 2

Page Range: Unknown

Description:

The normal wiggly probabilistic hesitant fuzzy set (NWPHFS) enhances the conventional probabilistic hesitant fuzzy set (PHFS) by capturing not only explicit probabilistic information but also critical underlying details that may be hidden in the original inputs provided by decision-makers (DMs). This paper introduces a novel extension of the Tomada de Decisão Interativa Multicritério (TODIM) method, called the normal wiggly probabilistic hesitant fuzzy TODIM (NWPHFT) method based on the proposed distance measures of NWPHFSs. Initially, two novel basic operations over NWPHFSs—the subtraction and division operations—are defined. Additionally, several distance measures specific to normal wiggly probabilistic hesitant fuzzy sets are developed, and their properties are thoroughly examined. Furthermore, for scenarios where the weights of criteria are partially or completely unknown, two optimization models are established to determine these weights using the maximizing deviation approach and the Lagrange function technique, respectively. Next, the traditional TODIM approach is extended to develop the NWPHFT for addressing MCDM problems by utilizing the proposed distance measures and criteria weight determination models. The proposed method is then applied to a problem related to selecting solid waste disposal methods to demonstrate its practical applicability. Finally, comprehensive sensitivity analyses and comparisons are conducted to illustrate the stability and effectiveness of the proposed approach.

Open Access: Yes

DOI: 10.1016/j.heliyon.2025.e41908

Training Neural Networks with Computer Generated Images

Áron Ballagi János Hollósi

Publication Name: Informatics 2019 IEEE 15th International Scientific Conference on Informatics Proceedings

Publication Date: 2019-11-01

Volume: Unknown

Issue: Unknown

Page Range: 155-159

Description:

At the Széchenyi István University we develop an autonomous racing car for the Shell Eco-marathon. One of the main tasks is to create a neural network which is segment the road surface, the protective barriers and other components of the race track. The difficulty of this task, that there is no a right dataset for this special issue. Only a limited size dataset available, therefore, we would like to expands this dataset with computer generated training images, which comes from a virtual city environment. In this work we want to examine the effect of computer generated images on the efficiency of different neural networks. In the training process real images and computer generated virtual images are mixed in several different ways. After that, three different neural network architecture for road surface and road barrier detection are trained. Experiences shows how to mixing datasets and how they can improve efficiency.

Open Access: Yes

DOI: 10.1109/Informatics47936.2019.9119273

A novel Complex q-rung orthopair fuzzy Yager aggregation operators and their applications in environmental engineering

Dragan Pamucar Tahir Mahmood Jabbar Ahmmad Hafiz Muhammad Waqas

Publication Name: Heliyon

Publication Date: 2025-01-15

Volume: 11

Issue: 1

Page Range: Unknown

Description:

Improving human health and comfort in buildings requires efficient temperature regulation. Temperature control system has a significant contribution in minimizing the impact of climate change. Temperature control system is used in industry to control temperature. The polar form of complex Pythagorean fuzzy set is a limited notion because when decision makers take the value for membership degree as 0.71+ι0.81 then we can observe that the basic condition for complex Pythagorean fuzzy set fails to hold that is r=0.712+0.812=1.3661∉[0,1]. Moreover, we can observe that the Cartesian form of a complex Pythagorean fuzzy set is also a limited notion because it can never discus advance data. Hence keeping in mind these limitations of the existing notions, in this article, we have explored the Cartesian form of a complex q-rung orthopair fuzzy set. Moreover, we have developed the Yager operational laws based on a Cartesian form of complex q-rung orthopair fuzzy set. We have introduced aggregation theory named complex q-rung orthopair fuzzy Yager weighted average and complex q-rung orthopair fuzzy Yager weighted geometric aggregation operators in Cartesian form. Based on these aggregation operators, we have initiated a multi-attribute group decision-making (MAGDM) approach to define the reliability and authenticity of the developed theory. Furthermore, we have utilized this device algorithm in the selection of a temperature control system. The comparative study of the delivered approach shows the advancement and superiority of the delivered approach.

Open Access: Yes

DOI: 10.1016/j.heliyon.2025.e41668

A Comprehensive Review of the Interrelationships Between Green Energy-Related Financial Literacy and Bioeconomics

Carlos A. Rodrìguez-Maillard Csongor Czipf Absalón J. Salmerón- Zapata José G. Vargas- Hernandez

Publication Name: Regulation Emerging Risk and Ethics in Fintech and AI

Publication Date: 2025-08-14

Volume: Unknown

Issue: Unknown

Page Range: 225-251

Description:

This paper explores the intricate interrelationships between green energy- related financial literacy and bioeconomics, examining how these two fields intersect to foster sustainable development pathways. Through a mixed- methods approach combining quantitative analysis of financial literacy indicators and qualitative assessment of bioeconomic frameworks, this research identifies key linkages and synergies between these domains. The research further demonstrates that these interrelationships create reinforcing feedback loops that accelerate the adoption of sustainable practices across economic sectors. Findings suggest that enhanced financial literacy specifically tailored to green energy investments significantly improves decision- making within bioeconomic systems, while bioeconomic principles provide essential context for developing more holistic green financial literacy initiatives.

Open Access: Yes

DOI: 10.4018/979-8-3373-6587-9.ch008

CEO narcissism and firm's cash conversion cycle: The moderating role of CEO's gender

Gilberto Marquez-Illescas Heba F. Zaher

Publication Name: Accounting and Finance

Publication Date: 2024-03-01

Volume: 64

Issue: 1

Page Range: 783-810

Description:

This study investigates the effect of CEO narcissism on firm's cash conversion cycle (CCC), and how this influence is moderated by CEO gender. Based on a sample of 354 CEOs in 229 S&P 500 firms, our results indicate that firms led by more narcissistic CEOs tend to have a shorter CCC and this effect is weaker in companies led by a female CEO. Our additional analyses show that the effect of CEO narcissism on the CCC may improve or damage firm performance depending on the firm's CCC level.

Open Access: Yes

DOI: 10.1111/acfi.13161