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Found 6278 publications

Financial inclusion as a tool for sustainable macroeconomic growth: An integrative analysis

Gagan Deep Sharma Mandeep Mahendru Shubham Chavriya

Publication Name: Annals of Public and Cooperative Economics

Publication Date: 2024-06-01

Volume: 95

Issue: 2

Page Range: 527-551

Description:

Despite extensive research on the relationship between financial inclusion and macroeconomic growth, little is known about the role of financial inclusion as a significant driver of macroeconomic growth in developing countries. Financial inclusion could boost sustainable macroeconomic growth, which has been a key policy goal for governments worldwide because it affects employment, population, inequality, and poverty. This study explores the influence of crucial financial inclusion indicators on developing countries' macroeconomic growth. The study shows that digital finance, financial technologies, financial outreach, financial literacy, demographics access to finance, microfinance and financial stability are the ways through which financial inclusion affects macroeconomic growth. We used the Scopus database to get information from 419 research articles and analyzed those to figure out how financial inclusion affected macroeconomic growth from 2006 to 2020. The study will help policymakers, governments, and marketers develop policies to involve everyone in the financial system, which results in macroeconomic growth.

Open Access: Yes

DOI: 10.1111/apce.12427

Performance Optimization of a Formula Student Racing Car Using the IPG CarMaker, Part 1: Lap Time Convergence and Sensitivity Analysis †

Ambrus Zelei Dominik Takács

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

It is increasingly common for simulation and AI tools to aid in the vehicle design process. The IPG CarMaker uses a multibody vehicle model and a learning algorithm for the virtual driver. The goal is to discover the behavior of the learning algorithm from the point of view of reliability and convergence. Simulations demonstrate that the lap time converges reliably. We also report that small changes in the vehicle parameters induce small changes in the simulated lap time, i.e., the lap time is a differentiable function of the vehicle parameters. Part 2 of this paper explains the aerodynamics and Drag Reduction System optimization.

Open Access: Yes

DOI: 10.3390/engproc2024079086

Aspects for Planning Attractive Urban Public Transport Networks and Timetables on the Example of Győr

Agoston Winkler László Jóna Faten Salman

Publication Name: Future Transportation

Publication Date: 2025-12-01

Volume: 5

Issue: 4

Page Range: Unknown

Description:

The attractiveness of public transport services plays an important role in urban sustainability as the greater use of public transport reduces individual transport and thereby the amount of congestion, noise, and pollution. However, in order to make public transport more financeable, networks and timetables are often rationalized by minimizing the costs in such a way that the currently assessed travel demands remain served. Although the efficient use of public resources is obviously a matter of public interest, such service rationalization often leads to the public transport network becoming too complicated and difficult for passengers to understand, which worsens the competitiveness of public transport. The question of the applicable service frequencies is also an important component of high-quality services. This paper examines these two major factors by presenting some suitable indicators as well as the feasibility conditions of the recommendations in the relevant literature, focusing on a case study from Győr, Western Hungary.

Open Access: Yes

DOI: 10.3390/futuretransp5040198

Non-Palpable Breast Cancer: A Targeting Challenge–Comparison of Radio-Guided vs. Wire-Guided Localization Techniques

István Harmati Dániel Kollár András Drozgyik Tamás F. Molnar Levente Dankházi Krisztina Szalay

Publication Name: Biomedicines

Publication Date: 2024-11-01

Volume: 12

Issue: 11

Page Range: Unknown

Description:

Background: The incidence of non-palpable breast cancer is increasing due to widespread screening and neo-adjuvant therapies. Among the available tumor localization techniques, radio-guided occult lesion localization (ROLL) has largely replaced wire-guided localization (WGL). The aim of this study was to compare the ROLL and WGL techniques in terms of the effectiveness of isotopic marking of axillary sentinel lymph nodes and to assess patient perspectives along with surgeon and radiologist preferences. Methods: A single-center, prospective, randomized study enrolled 110 patients with non-palpable breast lesions (56 ROLL, 54 WGL). Breast type, tumor volume, location, histological and radiological features, and localization/surgical duration were evaluated in the context of sentinel lymph node marking using isotope (technetium-99m-labeled human serum albumin) and blue dye. Statistical analysis was performed with significance set at p < 0.05 and strong significance at p < 0.01. Results: A single-center, prospective, randomized study enrolled 110 patients with non-palpable breast lesions (56 ROLL, 54 WGL). Breast type, tumor volume, location, histological and radiological features, and localization/surgical duration were evaluated in the context of sentinel lymph node marking using isotope (technetium-99m-labeled human serum albumin) and blue dye. Statistical analysis was performed with significance set at p < 0.05 and strong significance at p < 0.01. Conclusions: While ROLL provided advantages in terms of patient comfort and logistical simplicity, WGL was superior for axillary sentinel lymph node marking, particularly in inner quadrant tumors, suggesting that WGL may be preferred in these cases.

Open Access: Yes

DOI: 10.3390/biomedicines12112466

A Pre-Study of the Relationship Between Machining Technology Parameters and Surface Roughness in the Scope of the Optimal Cost Efficiency of Machining †

László Pálfi Szabolcs Szalai József Beke László Pálfi

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

This research investigates the relationship between machining technology parameters and surface roughness to optimize the cost efficiency of machining processes. In modern manufacturing, particularly in the automotive sector, achieving the desired surface quality while minimizing costs is critical. By evaluating tools from various manufacturers under different combinations of cutting parameters—such as cutting speed, feed, and depth—this study focuses on determining the most effective settings for producing an optimal surface roughness. The experiments highlight that selecting appropriate technological parameters impacts the machining process’s surface finish and economic efficiency. This study provides insights into balancing surface quality requirements with cost constraints, contributing to more efficient and sustainable manufacturing practices.

Open Access: Yes

DOI: 10.3390/engproc2024079090

YOLO-Based Object and Keypoint Detection for Autonomous Traffic Cone Placement and Retrieval for Industrial Robots

János Hollósi

Publication Name: Applied Sciences Switzerland

Publication Date: 2025-10-01

Volume: 15

Issue: 19

Page Range: Unknown

Description:

The accurate and efficient placement of traffic cones is a critical safety and logistical requirement in diverse industrial environments. This study introduces a novel dataset specifically designed for the near-overhead detection of traffic cones, containing both bounding box annotations and apex keypoints. Leveraging this dataset, we systematically evaluated whether classical object detection methods or keypoint-based detection methods are more effective for the task of cone apex localization. Several state-of-the-art YOLO-based architectures (YOLOv8, YOLOv11, YOLOv12) were trained and tested under identical conditions. The comparative experiments showed that both approaches can achieve high accuracy, but they differ in their trade-offs between robustness, computational cost, and suitability for real-time embedded deployment. These findings highlight the importance of dataset design for specialized viewpoints and confirm that lightweight YOLO models are particularly well-suited for resource-constrained robotic platforms. The key contributions of this work are the introduction of a new annotated dataset for overhead cone detection and a systematic comparison of object detection and keypoint detection paradigms for apex localization in real-world robotic applications.

Open Access: Yes

DOI: 10.3390/app151910845

Assessing the future impact of 12 direct air capture technologies

Teng Zhou Kai Sundmacher Yongxin Hu Rafiqul Gani

Publication Name: Chemical Engineering Science

Publication Date: 2024-10-05

Volume: 298

Issue: Unknown

Page Range: Unknown

Description:

Direct Air Capture (DAC) is regarded as an effective method to decrease the concentration of CO2 in the atmosphere and thus alleviate the greenhouse effect. This article conducts a comparative analysis of the CO2 emissions of 12 state-of-the-art DAC technologies. The evaluations consider regional (EU, USA, and China) and temporal (years 2023, 2030, and 2050) energy supply variations. It is found that the CO2 emissions generally decrease over time for all the different regions considered. The best CO2 emission performance is found in Europe, followed by the United States and China. The evaluation also finds that currently a substantial number of DAC technologies could not achieve net-negative emission, especially for China. In 2050, most of the DAC technologies are found to perform significantly better in terms of their negative emission performance. We also found that the utilization of fossil fuels, especially coal, needed to operate the DAC process, substantially hinders its ability to achieve net-negative emission. Electrochemical-based technologies are found to outperform others in all scenarios, especially when powered with renewable electricity. The DAC technologies relying on steam-based sorbent regeneration can greatly reduce their CO2 emission when low-carbon energy is used for steam generation. Finally, in all the different scenarios, the DAC technologies incorporating high-temperature calcination regenerations exhibit the worst performance due to the lack of low-emission energies for generating fired heat.

Open Access: Yes

DOI: 10.1016/j.ces.2024.120423

Knowledge flows in industry 4.0 research: a longitudinal and dynamic analysis

Edit Süle Abdo Hassoun John G. Keogh Abderahman Rejeb Karim Rejeb

Publication Name: Journal of Data Information and Management

Publication Date: 2025-06-01

Volume: 7

Issue: 2

Page Range: 123-145

Description:

Industry 4.0 represents a significant shift in industrial practices, presenting unique opportunities to improve manufacturing via advanced digital technologies and sustainable processes. The rapid growth of Industry 4.0 research has uncovered a significant knowledge gap and emphasized the need for studies adopting dynamic and longitudinal perspectives to understand this field’s evolution comprehensively. This study meticulously analyzes 10,176 articles to investigate the thematic evolution and knowledge transfer mechanisms within Industry 4.0. The examination reveals four distinct sub-periods, each characterized by thematic transitions, starting with foundational themes such as simulation and cyber-physical systems, progressing to later focuses on cloud computing, convolutional neural networks, and digital twin technologies. As research progresses, themes like production facilities, monitoring, and security highlight the shift towards automation, real-time monitoring, and strong data security measures. Five primary thematic domains are identified: (1) core enablers of sustainable smart manufacturing, (2) innovation and strategic transformation, (3) smart and secure manufacturing systems, (4) advanced data-driven manufacturing technologies, and (5) AI-driven real-time monitoring and production. These domains illustrate a transition from fundamental enablers like the Internet of Things (IoT) to more intricate AI-based applications. The main path analysis indicates a shift in emphasis, moving from essential digital integration towards sustainability, digital transformation, and resource efficiency applications. The findings reveal significant implications and highlight Industry 4.0 as a driving force for sustainable and resilient industrial ecosystems.

Open Access: Yes

DOI: 10.1007/s42488-025-00146-3

Enhancing fire-resistant design of reinforced concrete beams by investigating the influence of reliability-based analysis

János Szép Majid Movahedi Rad Muayad Habashneh

Publication Name: Engineering Reports

Publication Date: 2024-10-01

Volume: 6

Issue: 10

Page Range: Unknown

Description:

A depth investigation into the impact of high temperatures on the load-bearing capacity of reinforced concrete beams in the case of probabilistic design is presented in this paper, employing advanced finite element analysis techniques. This study addresses a critical knowledge gap in the design of fire-resistant concrete structures, with specific emphasis on the function of concrete cover. The research aims to enhance the overall safety and reliability of concrete buildings under high temperature conditions by providing valuable insights into the behavior of reinforced concrete beams under thermal loading. The analysis incorporates reliability-based modeling to account for uncertainties in temperature distribution within the beams. A validated finite element model is employed to simulate the performance of reinforced concrete beams at elevated temperatures. By considering various concrete cover thicknesses and heat distribution scenarios, the influence of these factors on the load-bearing capacity is thoroughly examined. The results underscore the importance of augmenting the concrete cover to enhance the load-carrying capacity of the beams. Furthermore, the study examines the impact of temperature distribution uncertainties, unveiling diverse load capacities associated with different configurations of concrete cover.

Open Access: Yes

DOI: 10.1002/eng2.12879