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Publications - 6273

Energy Justice in the 21st century: policy interventions and advocacy for a fair energy transition

Pasquale Marcello Falcone Grazia Errichiello

Publication Name: Aims Environmental Science

Publication Date: 2025-01-01

Volume: 12

Issue: 4

Page Range: 594-614

Description:

This article examined the research landscape of energy justice within the social sciences, providing a detailed overview of key developments, trends, and methodologies in this emerging field of study. The study began by identifying the leading journals in the field and mapping co-authorship networks, followed by an analysis of keyword co-occurrences to pinpoint the central themes in the literature. The findings highlight key areas of energy injustice, including accessibility, affordability, and environmental and technological factors. The article further inspected the underlying drivers of these disparities and the actions being taken to address them, emphasizing the critical role of emerging community pressures in shaping policy decisions. Additionally, the study reviewed five case studies that underscore the need for ongoing policy adaptation and illustrate the significant impact of advocacy in the development and implementation of equitable energy policies. The paper concludes by stressing the importance of rethinking current energy policy approaches to create a more inclusive, sustainable, and just energy future.

Open Access: Yes

DOI: 10.3934/environsci.2025027

A review on the factors of liner collapse in type IV hydrogen storage vessels

Eszter Kókai Dávid István Kis

Publication Name: International Journal of Hydrogen Energy

Publication Date: 2024-01-02

Volume: 50

Issue: Unknown

Page Range: 236-253

Description:

The on-board hydrogen storage of mobile applications is a key area of global industrial transformation to hydrogen technology. The research work provides an overview about the principle of hydrogen fuel cell vehicles, with a focus on the widespread on-board hydrogen storage technologies. In this work, type IV composite pressure vessels in particular are reviewed. The key challenges of polymeric liners are deeply investigated, and liner collapse was identified as a critical failure of type IV vessels. Different factors of liner collapse were categorized and relevant material properties - such as permeability, physical characteristics, and surface properties - were explained in more detail to lay the foundation for further research on high barrier, durable polymeric liner materials.

Open Access: Yes

DOI: 10.1016/j.ijhydene.2023.09.316

Pathological changes caused by myxomatosis in brown hares (Lepus europaeus)

Zoltán Vincze János Gál Tamás Tóth Miklós Marosán

Publication Name: Magyar Allatorvosok Lapja

Publication Date: 2025-01-01

Volume: 147

Issue: 12

Page Range: 727-737

Description:

Background: Myxomatosis appeared in wild brown hares a few years ago and was confirmed in Hungary this autumn. The disease can be caused by the classic myxomatosis virus (MYXV) that infects domestic rabbits and by recombinant (ha-MYXV) strains in brown hares, in which acute lesions localized on the skin of the head and genitals can be observed. Material and methods: In October this year, we dissected a total of 15 wild hares from several areas in Western Hungary and performed histopathological examinations of the affected organs. In our work, we compared the pathological abnormalities observed in wild and domestic rabbits with previously published data. Results and discussion: In our work, we dissected 15 hares (8 adults and 1 juvenile, a total of 9 bucks, and 5 adults and 1 juvenile, a total of 6 females). Edema of the eyelids, lesions on the mucous membrane of the eyelids, and inflammatory edema of the genitals were detected in all individuals. In 13.33% of the hare bucks, we also found subcutaneous edema accompanied by diffuse swelling of the skin of the head, which is not well known in Oryctolagus sp. However, ear lesions, which are common in domestic and wild rabbits, were significantly less frequent in brown hares (33.33%). The histopathological lesions described in cases of myxomatosis of domestic rabbits were 100% consistent with those found in wild brown hares.

Open Access: Yes

DOI: 10.56385/magyallorv.2025.12.727-737

Evaluating Deep Learning Algorithms for Freeway Mainstream Traffic Control

Ahmet Mehmet Karadeniz Mehran Amini László T. Kóczy

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1258 LNNS

Issue: Unknown

Page Range: 289-299

Description:

Traffic congestion is a universal problem that significantly impacts urban mobility and economic productivity. Accurate traffic flow prediction is crucial for efficient traffic management and congestion mitigation. Traditional methods often struggle to capture the complex temporal dependencies in traffic data. This study explores the effectiveness of Temporal Convolutional Network (TCN) models compared to Long Short-Term Memory (LSTM) models for predicting traffic volumes on freeway networks. Previous research has largely focused on LSTM models, leaving a gap in understanding the potential advantages of TCN models in this context. We address this gap by conducting a comprehensive comparison of LSTM and TCN models, training them on a dataset representing approximate traffic flow, and evaluating their performance using metrics such as Mean Squared Error (MSE), Mean Absolute Error (MAE), and coefficient of determination (R2). Our findings indicate that the TCN model outperforms the LSTM model, achieving lower MSE and MAE values and a higher R2 score. These results suggest that TCN models can more accurately predict traffic volumes under conditions with the least captured traffic data, offering a promising tool for real-time approximate traffic management and congestion prevention with reasonable prediction performance.

Open Access: Yes

DOI: 10.1007/978-3-031-81799-1_26

Correlation coefficients on normal wiggly dual hesitant fuzzy sets: an application in the selection of real estate agents

Dragan Pamucar Khizar Hayat Nadeem Ajaib Kamran Kausar

Publication Name: Peerj Computer Science

Publication Date: 2025-01-01

Volume: 11

Issue: Unknown

Page Range: Unknown

Description:

Decision makers (DMs) continually demonstrate shortcomings in their approaches to analyzing information through fuzzy systems; nevertheless, a model that integrates many dimensions of uncertainty is generally substantial. Normal wiggly dual hesitant fuzzy sets (NWDHFSs) incorporate a range of DMs' preferences for membership grades (MGs) and non-membership grades (NMGs). For complicated and multifaceted problems, one can apply the dynamic framework of NWDHFSs. To illustrate the relationship between NWDHFSs, correlation coefficients (CCs) on NWDHFSs, as well as weighted CCs on NWDHFSs, are presented in this work. These CCs are built up using means of values in hesitant fuzzy elements of NWDHFSs. Some fundamental axioms and thresholds of CCs on NWDHFSs are examined. A multi-criteria decision-making (MCDM) technique and associated algorithms based on these CCs are introduced. Because of the competitive real estate market, choosing a real estate agent is a challenging task for organizations. Through the consideration of a real estate case study, we select an appropriate real estate agent for a real estate firm utilizing proposed CCs on NWDHFSs. We examine the methodologies and outcomes of our approach to previous strategies.

Open Access: Yes

DOI: 10.7717/peerj-cs.3308

Evaluating the effectiveness of public finance used for social protection of internally displaced persons

Yuriy Bilan Halyna Mishchuk Natalia Samoliuk Halyna Yurchyk

Publication Name: Public and Municipal Finance

Publication Date: 2025-01-01

Volume: 14

Issue: 1

Page Range: 23-40

Description:

The increasing number of internally displaced persons (IDPs) in wartime Ukraine leads to growing problems in social protection funding. Under these circumstances, the evaluation of the effectiveness of public finance use is of increasing importance. The study aims to evaluate the effectiveness of public finance for internally displaced persons’ social protection, adapting the KPI methodology for analysis on the national level. The effectiveness is considered following the OECD approach as the extent to which the intervention achieved its objectives and results. At macrolevel of research, the integral indicator was developed based on indicators of input (financing of social protection programs), output (involvement of IDPs in social programs), activity (funding per recipient and multiplicative effect in GDP growth), mechanism (administrative costs for achieving results), and control (effectiveness of IDPs’ social protection compared to other demographic groups). Thirty indicators in total were used (e.g., budgetary funding allocated for housing assistance; budget expenditures on staff salaries of the authorities responsible for certain programs; coverage rate of unemployed IDPs receiving vocational training). The essential distance from the maximum level of expected results (1.0) allows concluding the low effectiveness in this area of public finance use: from 0.330 in 2020 to 0.668 in 2023. Gaps are evident in each direction, especially in input performance (the highest value did not exceed 0.370). The best results were achieved in housing funding and employment governance. The proposed approach is useful for analyzing gaps and identifying opportunities to improve the management of other social programs.

Open Access: Yes

DOI: 10.21511/pmf.14(1).2025.03

Automatized Driving Data Analyzer: A Synchronized and Modular Application for Data Logging and Analysis †

Viktor Nagy Ágoston Pál Sándor

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

The Automated Driving Data Analyzer (ADDA) is a modular application written in Python for the synchronized acquisition and analysis of physiological, vehicle, and interface data. It provides a managed data acquisition process and one-click data analysis. It also provides raw data storage and systematic archiving of data sets. ADDA integrates real-time data from a BeamNG vehicle simulation, Pupil Labs eye-tracking system, hand-tracking, and cardiac data. This integration allows the simultaneous recording and analysis of multiple data streams, which can be visualized and controlled through a graphical user interface (GUI) built with Tkinter. The application is designed to help researchers and engineers analyze driving behavior under different conditions, enabling a deeper understanding of the interactions between the driver and automated driving functions.

Open Access: Yes

DOI: 10.3390/engproc2024079018

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

Experimental and Numerical Investigation of Geosynthetic-Reinforced Pile-Supported Embankments for Loose Sandy Soils

Edina Koch Rashad Alsirawan Ammar N. Alnmr

Publication Name: Buildings

Publication Date: 2023-09-01

Volume: 13

Issue: 9

Page Range: Unknown

Description:

This research focuses on advancing the geosynthetic-reinforced pile-supported embankment technology over loose sandy soil. A small-scale laboratory model supported by floating piles and a geotextile layer was constructed, and a numerical model was validated against laboratory measurements. This study aims to achieve a more uniform distribution of the load over all piles of the system via a parametric study that analyzes the influence of embankment fill material, horizontal reinforcement scenarios, pile cap shape, and pile type. The results demonstrate that using embankment fill with high cohesion and internal friction properties leads to a significant reduction of 46% and 37% in maximum settlements, respectively, and similarly, results in a noteworthy reduction of 48% and 50% in differential settlements. The incorporation of two geotextile layers contributes to a reduction of up to 30% in maximum settlement. The utilization of plus-shaped caps in small areas, with an area equal to three times the cross-sectional area of the pile, has been substantiated as the preeminent approach for the reduction of settlements. Piles with caps also present better behavior regarding differential settlements compared to longer piles and piles with bigger diameters under the same volume condition.

Open Access: Yes

DOI: 10.3390/buildings13092179