Search Everything

Tip: Search using "First Name + Last Name", e.g.
János Kiss instead of Kiss János.

Publications - 6374

Interrelation between the climate-related sustainability and the financial reporting disclosures of the European automotive industry

Árpád Tóth Alex Suta Ferenc Szauter

Publication Name: Clean Technologies and Environmental Policy

Publication Date: 2022-01-01

Volume: 24

Issue: 1

Page Range: 437-445

Description:

The financial reports of the automotive companies' are measured in a standardized manner; therefore, they are transparent and comparable to each other, but this is not valid for the sustainability reports and it is not possible to compare their sustainability performances. Standard-setting organizations are currently searching for better reporting procedures. This study aims to investigate the connection between sustainability and financial reports for the most dominant European car manufacturers. It reviews the traceability of the sustainability elements back to the financial statements, which helps transparency, comparability, and impact measurement of the disclosed items and issues. This investigation allowed us to additionally review whether these companies are targeting to disclose the most harmful pollution impacts, or only focus to disclose the required obligatory items. Given the financial and sustainability reports magnitude manual testing would not provide complete and proper coverage, therefore we utilized an automated and AI-assisted content analysis with natural language processing. In this new review method, the sustainable elements of the textual reports were automatically retrieved following the 5-stage model of Landrum & Ohsowski (2018). The study highlights the lack of true sustainability information content of reports and the potential discrepancies and connections between the financial and the sustainability reports. Findings concluded that sustainability disclosures at the reviewed companies from several aspects could be improved and quantified, traced back to the financial disclosures, and to be comparable to each other if they apply a similar review method. Graphic abstract: [Figure not available: see fulltext.].

Open Access: Yes

DOI: 10.1007/s10098-021-02108-w

A Theoretical Model for the Implementation of Social Sustainability in the Synthesis of Tourism, Disability Studies, and Special-Needs Education

Veronika Bolla Eva Happ

Publication Name: Sustainability Switzerland

Publication Date: 2022-02-01

Volume: 14

Issue: 3

Page Range: Unknown

Description:

This paper deals with the study of disability science, special-needs education, and psychology of special needs in the context of tourism. It is rare to find a link between these research areas in the literature. Accessible tourism has attracted widespread research interest in recent decades, but the number of studies focusing on tourism in the fields of disability studies, special-needs education, and psychology of special needs is very limited. Although there is growing literature on accessible tourism and related topics, the development of the research field is uneven, as most research focuses on specific subareas without considering the context of the whole spectrum of the topic. The interdisciplinary research aims to explore the situations of people with disabilities in terms of their participation in tourism. The data collected will be used to analyse the supply and demand side of tourism from a specific perspective. Among the external environmental impacts, the issue of sustainability will be highlighted, which will be addressed from a societal perspective by analysing the sustainable development goals (SDGs) related to the topic. The study includes a theoretical analysis through the processing of secondary sources, linking the fields of tourism, disability studies, special-needs education, and psychology of special needs, with the potential of social sustainability and the achievement of the SDGs. The paper presents a new model that illustrates the potential for achieving social sustainability from the supply and demand side of tourism. The model can be valuable, not only for those who want to extend their research into this new field, but also for tourism policy makers. The study also identifies key research questions on this topic that merit theoretical and empirical exploration in the future.

Open Access: Yes

DOI: 10.3390/su14031700

Changes in primitive reflexes in older adults and their relationship to mental health indices: An experimental investigation

Ferenc Ihász Eliza Toth Angéla Somogyi Erzsébet Stephens-Sarlós Zoltán Alföldi Attila Szabo

Publication Name: Experimental Gerontology

Publication Date: 2024-10-15

Volume: 196

Issue: Unknown

Page Range: Unknown

Description:

The reemergence of primitive reflexes (PRs) in older age is related to cognitive impairment. Currently, there are no means to prevent or slow their reappearance, but research evidence exists for their control in children. Therefore, this experiment investigated whether a 16-week special sensorimotor exercise program could benefit older adults and whether the intervention-induced changes (if any) may be associated with various indices of mental health. Of 115 adults over 60, 95 completed the study (mean age = 76.37 ± SD = 7.04 years, 22 % men). The experimental group (n = 38) showed an almost threefold decline in PRs compared to controls. In contrast, the control group (n = 57) exhibited a nearly threefold increase in PRs compared to the intervention group. Cognitive function increased in the experimental but not in the control group. Changes in PRs over the 16-week intervention were positively related to negative mental health indices (hopelessness and perceived stress) and negatively related to well-being. These findings suggest that the here-presented mild sensorimotor exercises could affect older adults' reemerging PRs and that changes in PRs are associated with mental health benefits. These results may open new research avenues toward preventing cognitive and psychological decline in older adults.

Open Access: Yes

DOI: 10.1016/j.exger.2024.112583

The impact of green HRM and intellectual capital on the environmental performance of the organizations: A mediating impact of green innovation

Aemin Nasir Md Billal Hossain Faisal Ejaz Zita Júlia Fodor Zarmeena Anum

Publication Name: International Journal of Innovative Research and Scientific Studies

Publication Date: 2025-01-01

Volume: 8

Issue: 2

Page Range: 2965-2976

Description:

This research elucidates the importance of Green HRM and Green Intellectual Capital in encouraging eco-friendly practices in the hospitality sector. Additionally, it highlights the value of Green Innovation as a tool to enhance the beneficial impacts of Green HRM and Green Intellectual Capital on environmental performance. A survey was conducted among 257 employees, and the collected data were analyzed using SPSS and Smart PLS. The findings reveal that GHRM and GIC significantly enhance environmental performance, demonstrating the positive effects of green practices on the environment. Furthermore, Green Innovation was found to mediate the relationship between GHRM, GIC, and environmental performance, underscoring the role of innovation in promoting environmental sustainability. This study investigates the impact of Green Human Resource Management (GHRM) and Green Intellectual Capital (GIC) on the environmental performance of firms in the Pakistani hotel industry, focusing on the mediating role of Green Innovation. These results highlight the importance of integrating green practices into HRM and intellectual capital management, as well as the value of innovation in amplifying these efforts. The study’s implications are crucial for hospitality businesses, as they aim to implement sustainable strategies in an increasingly environmentally conscious market.

Open Access: Yes

DOI: 10.53894/ijirss.v8i2.5935

Modeling of Fuzzy Rule-base Algorithm for the Time Dependent Traveling Salesman Problem

Peter Foldesi Boldizsar Tuu-Szabo Ruba Almahasneh Laszlo T. Koczy

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2019-06-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The Traveling Salesman Problem (TSP) is one of the most extensively studied NP-hard graph search problems. In the literature, there have been numerous published attempts, applying various approaches in order to find the optimum (least cost) or semi optimum solution. Time Dependent Traveling Salesman Problem (TD TSP) is one of the most sufficient extensions and modifications of the original TSP problem. In TD TSP the costs of edges between nodes varies, they are assigned higher cost in the traffic jam region, such as city center or during the rush hour periods. In this paper, we introduce an even more realistic approach, the 3FTD TSP (Triple Fuzzy Time Dependent Traveling Salesman Problem); a fuzzified model of the original TD TSP. The 3FTD TSP presents a variation of the TD TSP utilizing fuzzy values in the cost between two nodes (shops, cities, etc.), the geographical areas of the traffic jam region, and also the rush hour period. The goal is to give a practically useful and realistic alternative of the basic TD TSP problem. In order to calculate the (quasi-) optimum solution, the Discrete Bacterial Memetic Evolutionary Algorithm was used, since it has been proven to be rather efficient (and predictably) in a wide range of NP-hard problems, including the original TSP and the TD TSP as well. The results from the runs based on the extensions of the family of benchmarks generated from the original TD TSP benchmark data set showed rather good and credible initial results.

Open Access: Yes

DOI: 10.1109/FUZZ-IEEE.2019.8858853

Testing the selection heuristic of the Accelerated Branch and Bound method

Balázs Bánhelyi Emília Heinc

Publication Name: Annales Mathematicae Et Informaticae

Publication Date: 2024-01-01

Volume: 60

Issue: Unknown

Page Range: 64-74

Description:

This article examined the issue of selection heuristics for the ABB algorithm, a branch-and-bound method for determining the optimal solution structure in P-graphs. Previous studies have not investigated the possible effects of different heuristics on the running time of the ABB algorithm. In this study, we represent the results of applying three basic heuristics in randomly generated P-graphs. In particular, for P-graphs with matrix patterns, the LIFO heuristic is recommended because it performed the best, while the FIFO heuristic had the slowest running time.

Open Access: Yes

DOI: 10.33039/ami.2024.02.006

On the names of states: Naming system of states based on the country names and on the public law components of state titles

Péter Takács

Publication Name: German Law Journal

Publication Date: 2020-01-01

Volume: 21

Issue: 6

Page Range: 1257-1282

Description:

General questions of name of the state are rarely discussed in the literature of public law, political science or legal theory, its terminology is neglected, and in its current state, it is a source of many misunderstandings. Pointed out these terminological problems this study proposes a theoretical framework for the naming system of states which takes into accounts the public law components of names. Among these components the significance of four factors are emphasized: the form of state (form of government), the structure, or organization of state, the role of seemingly neutral terms (for example, the words “commonwealth” or “state”), and, on the contrary, the role of politically, religiously or ethnically bound terms (such as “democratic”, “people's”, “Arab” or “Islamic”) in the names of states. After clarifying the difference between the terms country name and state name (state title), this study shows that there are cases when the state name (state title) function as country name, and when the country name fulfills the communicative function of the state title.

Open Access: Yes

DOI: 10.1017/glj.2020.71

Brenneria nigrifluens Isolated from Aesculus hippocastanum L. Bark in Hungary

László Palkovics Anita Végh Imola Tenorio‐baigorria Gergely Botyánszki Rita Gyuris György Zsigó

Publication Name: Forests

Publication Date: 2022-02-01

Volume: 13

Issue: 2

Page Range: Unknown

Description:

In Hungary, from the beginning of the 19th century, horse‐chestnut trees have been planted widely and are popular ornamental trees in public parks, along streets, and in gardens. In the summer of 2015, longitudinal cracks on the trunk and branches and the intensive oozing of brown liquid were observed from a wound in a horse‐chestnut tree in a park in Budapest. Some years later, in 2018 and 2019, the same symptoms were found in trees in other locations in Budapest. Several bacteria were reported that induce similar symptoms, including cracks and cankers on the bark of trunks and branches and sticky, white, red, brown, or black oozing. These pathogens belong to the genera Brenneria and Lonsdalea. Bark and exudate samples were taken with the aim of identifying the causal agent by conventional and molecular methods. Our results confirmed that the bacteria isolated from Aesculus hippocastanum trees belong to the genus Brenneria and phylogenetic analysis of the 16S rRNA gene region proved to have the closest phylogenetic relation with the Brenneria nigrifluens strains.

Open Access: Yes

DOI: 10.3390/f13020227

Detection of Harmonic and Interharmonics Contents in Water Desalination Plants' Distribution System Based on Deep Learning Algorithms

Hasnaa M. El-Arwash Lamiaa A.A. Said Maytham Alabid Ragab A. El-Sehiemy

Publication Name: Energy Science and Engineering

Publication Date: 2025-11-01

Volume: 13

Issue: 11

Page Range: 5451-5464

Description:

Water desalination plants are significant consumers of electric power, making them some of the largest energy users in power grids. Their electricity consumption presents an urgent challenge for efficient and sustainable operation, and they are among the most power-quality-threatening customers for utilities. This study presents three distinct strategies to enhance prediction accuracy and extend forecasting horizons, aiming to reduce algorithmic and hardware delays. Additionally, it suggests effective methods to compensate for voltage fluctuations, voltage flicker, and dips arising from desalination plants. The paper also discusses forecasting harmonics and interharmonics in current signals. Furthermore, it integrates the above techniques into a comprehensive computing system, along with an active power filter (APF) scheme, within the Simulink framework. A comparison is drawn between the performance of predictive techniques in an APF and a conventional, non-predictive APF. The proposed data augmentation method successfully increases prediction accuracy. By effectively forecasting upcoming waveforms, it reduces algorithmic and hardware delays. These techniques are designed to address multiple power quality issues simultaneously, including harmonics, interharmonics, flicker, and voltage dips, which often coexist in the spectrum as interharmonics. The suggested approach employs Long Short-Term Memory (LSTM) networks combined with the Jetson TX2 embedded artificial intelligence computer to accelerate machine learning applications. This method has proven effective in predicting and classifying time series data, including harmonics, interharmonics, and raw current signals, achieving 100% accuracy. This eliminates the need for designing specific low-pass filters. The evaluation results for this time-domain deep learning-based technique will be reported in the subsections below. The implementation is conducted in Python using the KERAS deep learning framework and TensorFlow backend, and it is evaluated on a workstation equipped with an Intel i7 processor running at 4.0 GHz and 48 GB of RAM.

Open Access: Yes

DOI: 10.1002/ese3.70251