Search in Publications

Found 6525 publications

Does urban shrinkage impact energy efficiency?: Evidence from Chinese counties

Hyoungsuk Lee Xin Zhao Yang Yang Peijun Xie Hui Li Wenxing Jia

Publication Name: Renewable Energy

Publication Date: 2025-01-01

Volume: 238

Issue: Unknown

Page Range: Unknown

Description:

Some cities in China are facing challenges due to population loss while also attempting to address energy conservation and emissions reduction. Although urban shrinkage can relieve pressure from energy consumption demands, such as water, electricity and gas, does it improve urban energy efficiency? This study attempts to answer this question. Based on Point of Interest (POI) big data and Global Human Settlement Layer (GHSL) raster data, this study identifies urban shrinkage from the coupling perspective of administrative and economic boundaries. It also examines the impact of urban shrinkage on energy efficiency. The results suggest that Chinese counties’ overall energy efficiency is experiencing a four-stage “decline-rise-decline-rise” trend, and the urban shrinkage of Chinese counties exists in three major areas: the Northeast, the Southwest, and the Centre. Compared to non-shrinking cities, urban shrinkage has a significant negative impact on improving energy efficiency. This impact exhibits significant heterogeneity. Specifically, compared with mature resource cities and cities in Western China, regenerative cities, non-resource cities and cities in Central China have less impact on energy efficiency. In addition, urban shrinkage may impede energy efficiency improvement by hindering industrial structure transformation and upgrading, energy-saving technology innovation, and financial development. Clarifying the relationship between urban shrinkage and energy efficiency is helpful for shrinking cities to change their development strategies, which is critical for sustainable development.

Open Access: Yes

DOI: 10.1016/j.renene.2024.121878

The effect of the pollinizer variety on the berry weight of currants

A. Porpáczy Z. Vadas

Publication Name: Acta Horticulturae

Publication Date: 2001-01-01

Volume: 561

Issue: Unknown

Page Range: 263-267

Description:

At currant cultivars the level of self-fertility can characterised according to the results of open pollination and the differences in berry weight. This character appears in the habits of the racemes as well. For weakly self-fertile or partially selfsterile cultivars it is necessary to use some polliniser varieties to ensure a good yield. Usually, three of four cultivars should be planted together in an orchard.

Open Access: Yes

DOI: 10.17660/ActaHortic.2001.561.39

CONNECTION BETWEEN TRACK GEOMETRY QUALITY AND DYNAMIC VEHICLE RESPONSE AT VARIOUS SPEEDS

Csaba Ágh

Publication Name: Baltic Journal of Road and Bridge Engineering

Publication Date: 2023-01-01

Volume: 18

Issue: 3

Page Range: 169-187

Description:

Track geometry measurements are widely used for describing track quality. However, derailments and track deterioration are caused by forces arising in vehicle-track system. This research focuses on two types of vehicle response. Firstly, the inf luence of the longitudinal level irregularities on the vertical wheel-rail forces was examined. Secondly, the correlation between the lateral axle box acceleration and the cross level irregularities was investigated. Track geometry and vehicle response data were acquired simultaneously by a track recording car, formed from a passenger car, at various speeds up to 130 km/h. Vehicle-track forces were calculated based on accelerometers mounted on the car body, bogies and axle boxes, considering mass and moment of inertia. Non-linear regressions resulted in vertical vehicle-track force estimation functions. It was proven that the use of second spatial derivatives of the longitudinal level gave a better estimation than the use of reference TQIs according to European Standard EN 13848-6. A linear relationship was found between the speed and standard deviation of vertical vehicle-track forces. On straight sections with constant speed, correlation coefficients of around 0.8 were found between second spatial derivatives of cross level and lateral axle box acceleration.

Open Access: Yes

DOI: 10.7250/bjrbe.2023-18.613

Ethical Dimensions in Supplier Selection Sustainability: Introducing the Modified MARCOS Method via Fuzzy-Rough Set with the LMAW Approach

Dragan Marinković Dragan Pamucar Darko Božanić Adis Puška Miroslav Nedeljković Anđelka Štilić

Publication Name: Contemporary Mathematics Singapore

Publication Date: 2025-01-01

Volume: 6

Issue: 6

Page Range: 7899-7924

Description:

This research presents a novel approach to supplier selection by integrating economic, environmental, and ethical criteria. The case study of Company 3B, a food production company, illustrates this process. Expert decisionmaking, using a fuzzy-rough approach, is supported by the fuzzy-rough Logarithm Methodology of Additive Weights (LMAW) and the fuzzy-rough modified Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) methods. The fuzzy-rough LMAW method helps determine the importance of criteria, revealing that experts consider the economic criterion the most significant. The Modified MARCOS (M-MARCOS), a simplified version of the MARCOS method, is used to rank suppliers. Results show that Supplier S3 performs the best. These findings are validated through comparisons with other fuzzy-rough methods and a sensitivity analysis. With the MARCOS method comparisons confirming a consistent ranking order, this paper advances supplier selection methodology by introducing a novel approach and improving the usability of the MARCOS method through modifications.

Open Access: Yes

DOI: 10.37256/cm.6620257306

Balancing Performance and Health in Elite Hungarian Athletes: The Relationship Among Disordered Eating Risk, Body Composition, and Nutrition Knowledge

Andrea Petróczi Gusztáv J. Tornóczky Merve Alpay Réka Erika Kovács Szilvia Boros István Karsai

Publication Name: Nutrients

Publication Date: 2025-01-01

Volume: 17

Issue: 2

Page Range: Unknown

Description:

Background: disordered eating (DE) and eating disorders (ED) can negatively impact athletes’ health, wellbeing, and athletic performance. Objective: this cross-sectional study aims to assess DE risk, body composition, and nutrition knowledge among elite Hungarian athletes. Methods: DE risk was assessed using DESA-6H and EAT-26 scales, nutrition knowledge through the Abridged Nutrition for Sport Knowledge Questionnaire (A-NSKQ), and body composition with the OMRON BF511 device. The data were analyzed using Kendall’s tau correlations, Mann–Whitney U tests, and ROC analysis. Results: a total of 71 athletes participated (39.4% males, mean age = 24.8 years, SD = 4.8 years and 60.6% females, mean age = 24.3 years, SD = 4.3 years). At-risk scores on the DESA-6H scale were recorded for nine athletes (12.7%), while 32.4% scored in the risk zone on the EAT-26, with female athletes in aesthetic, endurance and weight-dependent sports being most affected. Low BF was observed in four males and four females. Nutrition knowledge (49.1%) was below the acceptable threshold. DESA-6H significantly correlated with EAT-26 scores, BMI, sports nutrition knowledge, and A-NSKQ total scores. A statistically significant difference by gender was found in the EAT-26 total score (p = 0.019, d = 0.65). Risk groups significantly differed in A-NSKQ scores (p = 0.026, d = 0.511) and sport nutrition knowledge, specifically (p = 0.016, d = 0.491). Using EAT-26 to identify at-risk athletes and the DESA-6H recommended cut-off, the ROC analysis showed a sensitivity of 29.1% and a specificity of 95.7%. Conclusions: insufficient nutrition knowledge plays a role in being at-risk for DE and ED. These results underscore the need for early detection, early sport nutrition education across all elite athletes, with particular attention to female athletes in aesthetic, endurance and weight-dependent sports, and for monitoring these athletes to prevent DE. Further work is warranted to optimize screening tools such as EAT-26 and DESA-6H for elite athletes.

Open Access: Yes

DOI: 10.3390/nu17020231

Regional Inequality Through Income Disparities and Migration Patterns: Systematic Literature Review

László Buics Tihana Vasic Tihana Czakó-Vasic

Publication Name: International Scientific Business Conference Limen Leadership Innovation Management and Economics Integrated Politics of Research

Publication Date: 2024-01-01

Volume: 2024

Issue: Unknown

Page Range: 427-436

Description:

Regional inequality nowadays represents a big issue when it comes to economic and social growth. This inequality is present in internal migration patterns and in income distribution as well. In order to be able to find the relationships between these variables and to investigate how do they or whether they affect regional disparities, this paper uses a systematic literature review (SLR). This research examines 101 papers published between 2014 and 2024. The methodology of the paper is PRISMA and PEO frameworks, with these methods, the scientific papers are researched in a transparent and reproducible manner. The results show that regional disparities are mostly researched in a quantitative way, using mostly economic and demographic data. Next to this, most of the papers conclude that there is a need for a better policy intervention from the government’s side. This study contributes to the existing body of knowledge by identifying gaps in current research and suggesting pathways for future inquiry.

Open Access: Yes

DOI: 10.31410/LIMEN.2024.427

RFId application in production process of an automotive industry supplier

Petra Döbrössy Dorottya Mánik Lajos Tóth

Publication Name: Ines 2006 10th International Conference on Intelligent Engineering Systems 2006

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: 45-48

Description:

The Department of Logistics and Forwarding at Széchenyi István University in Györ, Hungary started a project in an automotive industry supplier company. The purpose of the project is to grow the efficiency of the production process. In order to achieve the target we should reorganized the IT system. During the research we had to take the special production circumstances and the already exist ad hock information system into consideration. The article adumbrates the course of the project shortly, the faults of the system, the own-developed new information system and represents how the human failures could be eliminated though RFId application. © 2006 IEEE.

Open Access: Yes

DOI: DOI not available

University lecturers' distance learning experiences gained during the COVID-19 pandemic period

Attila Pongracz Balint Lampert Viktória Kövecses-Gősi Ildiko Lorincz

Publication Name: 11th IEEE International Conference on Cognitive Infocommunications Coginfocom 2020 Proceedings

Publication Date: 2020-09-23

Volume: Unknown

Issue: Unknown

Page Range: 325-330

Description:

Semester 2 of the academic year 2019/2020 has brought along a special situation and a variety of new solutions in education throughout the world. The emerging pandemic situation changed the system considerably by impeding both lecturers and students from working and meeting personally. Transition to online, distance education has also presented new challenges to educators, parents, teachers, university lecturers and students, as well as a new path of development. During our research, the experiences and difficulties gained by the members of Apaczai Csere Janos Faculty at Szechenyi István University in the past semester were examined with the help of an online questionnaire. Preliminary results show that the semester of distance learning, despite its difficulties, brought several positive results that enhanced teachers' creativity, pedagogical competencies as well as methodological culture of how the different tools and programs were used.

Open Access: Yes

DOI: 10.1109/CogInfoCom50765.2020.9237890

Predicting flight arrival times with a multistage model

Gabor Takacs

Publication Name: Proceedings 2014 IEEE International Conference on Big Data IEEE Big Data 2014

Publication Date: 2014-01-01

Volume: Unknown

Issue: Unknown

Page Range: 78-84

Description:

Airlines are constantly looking for ways to cut flight delays, in order to enhance service quality and reduce operational costs. The goal of the data science contest, GE Flight Quest (https://www.gequest.com/c/flight), was to make flights more efficient by improving the accuracy of arrival time estimates. The data set of the contest was 128 GB in size and contained 252 data columns arranged in 34 tables. This paper presents my solution that won third prize under team name Taki. The solution employs a 6-stage model consisting of successive ridge regressions and gradient boosting machines, built on 56 features constructed from the raw data. The hardware environment used for training and running the model was a 64 core machine with 1 terabyte of memory.

Open Access: Yes

DOI: 10.1109/BigData.2014.7004435