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Found 6407 publications

Numerical methods for safeguarding the performance of the quenching process

Publication Name: Materials Science Forum

Publication Date: 2005-01-01

Volume: 473-474

Issue: Unknown

Page Range: 335-340

Description:

ivf SmartQuench™ - a new system for testing and evaluation of quenching media and quenching systems - has recently been introduced by IVF. One of the system main features is an advanced computer software, which provides flexible evaluation of quenchants in many respects. The abilities of the computer program is underlined. © 2005 Trans Tech Publications, Switzerland.

Open Access: Yes

DOI: 10.4028/0-87849-957-1.335

Recent advances in learning content and infrastructure development for layout and process planning courses at the SZTAKI learning factories

Publication Name: Procedia Manufacturing

Publication Date: 2020-01-01

Volume: 45

Issue: Unknown

Page Range: 319-324

Description:

Two locations maintained by SZTAKI-in Budapest and Gyor, respectively-provide infrastructure for learning factory programs, primarily in layout and process planning, and process execution. In addition to project-oriented work successfully hosted by the facilities for several years, the development of repeatable and evolvable learning content began in 2019. A preceding publication presented a roadmap for the development of re-usable courses based on outcomes of one-shot projects which built up an initial infrastructure. This paper gives an in-progress view at selected dimensions of learning content and course development. In view of recent additions to available infrastructure, an extended portfolio of design and scenario choices is presented with suggested sets of options which can be opened up for elaboration by course participants. Complementing these, typical course types are also summarized, with special emphasis on options likely to be deployed in the current operating context of the facilities.

Open Access: Yes

DOI: 10.1016/j.promfg.2020.04.024

Characterization of the temporal pattern of cerebral blood flow oscillations

Publication Name: IEEE International Conference on Neural Networks Conference Proceedings

Publication Date: 2004-12-01

Volume: 3

Issue: Unknown

Page Range: 2467-2470

Description:

Oscillation of the cerebral blood flow (CBF) is a common feature in several physiological or pathophysiological states of the brain. It is a promising opportunity to identify the state of the brain based on the classification of CBF signals. In order to carry out classification of the time signals, a feature vector has been extracted to characterize the signals. Unsupervised classification showed that the extracted feature vector is an acceptable representation of the time signals. It also turned out that the difference between normal signal and a signal indicating drug injection effect is significant, and much more dominant than the difference between signals of the right and left brain sides. For the signal classification an Artificial Neural Network (ANN) model based on supervised backpropagation network has been developed and successfully applied.

Open Access: Yes

DOI: 10.1109/IJCNN.2004.1381016

Relationship between Some Myostatin Variants and Meat Production Related Calving, Weaning and Muscularity Traits in Charolais Cattle

Publication Name: Animals

Publication Date: 2023-06-01

Volume: 13

Issue: 12

Page Range: Unknown

Description:

The slaughter value of live cattle can be assessed during visual conformation scoring, as well as by examining different molecular genetic information, e.g., the myostatin gene, which can be responsible for muscle development. In this study, the F94L, Q204X, nt267, nt324 and nt414 alleles of the myostatin gene (MSTN) were examined in relation to birth weight (BIW), calving ease (CAE), 205-day weaning weight (CWW), muscle score of shoulder (MSS), muscle score of back (MSB), muscle score of thigh (MST), roundness score of thigh (RST), loin thickness score (LTS), and overall muscle development percentage (OMP) of Charolais weaned calves in Hungary. Multi-trait analysis of variance (GLM) and weighted linear regression analysis were used to process the data. Calves carrying the Q204X allele in the heterozygous form achieved approximately 0.14 points higher MSB, MST and LTS, and 1.2% higher OMP, and gained 8.56 kg more CWW than their counterparts not carrying the allele (p < 0.05). As for the F94L allele, there was a difference of 4.08 kg in CWW of the heterozygous animals, but this difference could not be proved statistically. The other alleles had no significant effect on the evaluated traits.

Open Access: Yes

DOI: 10.3390/ani13121895

Changes in the Properties of Thermal Insulation Materials Due to Environmental and Exposure Factors: Examination of Autoclaved Aerated Concrete Thermal Insulation Mineral Boards

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2026-01-01

Volume: 1768 LNNS

Issue: Unknown

Page Range: 91-99

Description:

The energy performance of buildings has become increasingly important, driven by efficiency, awareness, and sustainability goals. While attention often focuses on passive or zero-emission buildings, upgrading the thermal insulation of existing stock remains essential. In Hungary, many buildings still fail to meet current standards, from 19th-century apartments in Budapest to post-war panel blocks designed without thermal considerations. This study examined mineral-based insulation boards made from autoclaved aerated concrete under controlled exposure scenarios: cold winter (−20 °C), humid spring/autumn (10 °C, 90% RH), and hot summer (70 °C, 20% RH). Standardized tests assessed mass variation, compressive strength, thermal conductivity, and short-term water absorption. Results show that high humidity caused up to 14% loss of compressive strength and a 17–18% increase in thermal conductivity after 14 days, severely reducing insulation capacity. In contrast, extreme cold and heat induced only minor changes. Moisture was identified as the most critical factor compromising both mechanical stability and energy efficiency. The findings provide reproducible evidence of environmental sensitivity and underline the importance of durability assessments in designing and retrofitting energy-efficient buildings.

Open Access: Yes

DOI: 10.1007/978-3-032-13898-9_11

A Multidimensional Analysis of Energy Poverty in the EU: Exploring Complex Drivers and Cross-Dimensional Impacts

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 1-6

Description:

Energy poverty remains one of the key obstacles to sustainable development, directly affecting households and increasingly influencing business operations as well. The research investigates the relationship between energy poverty and greenhouse gas (GHG) emissions in the EU, addressing the often-overlooked connection between social vulnerability, environmental impact, and local climate policy. The study utilizes EU-level indicators to assess energy poverty across member states and develops the Energy Poverty Integral Index (EPII) to quantify it through multidimensional socioeconomic indicators. Building on this, the authors introduce the Energy Poverty and Emissions Index (EPEI), a novel, three-dimensional composite index that integrates (1) energy poverty (via the EPII), (2) residential GHG emissions, and (3) participation in the Covenant of Mayors (CoM), a proxy for local climate policy engagement. By bringing these components together, the EPEI offers a new perspective for examining the intersection of energy deprivation, carbon intensity, and policy responsiveness across the EU. This makes it possible to identify country profiles and policy gaps where high energy poverty coincides with either high emissions or weak climate action. The findings reveal significant correlations between energy poverty and emissions in several EU-27 countries, with strong positive relationships in the Netherlands, Lithuania, and Romania. In contrast, some member states exhibit inverse patterns. Cyprus, Italy, and Germany stand out with the highest energy poverty rates. The study contributes by proposing a standardized framework that links energy poverty to environmental and governance dimensions, supporting more targeted and just climate-energy policy responses in the EU.

Open Access: Yes

DOI: 10.3303/CET25121001

Explaining the variation in sustainable development through the lens of key macroeconomic and environmental factors

Publication Name: Discover Sustainability

Publication Date: 2026-12-01

Volume: 7

Issue: 1

Page Range: Unknown

Description:

This paper investigates the role ofenvironmental and macroeconomic stabilityin achieving sustainable developmentin Pakistan from 1990 to 2022.The objective of this study is to investigate the contagion effects of both ecological and macroeconomic variables on Pakistan's sustainable development, employing the structural VAR methodology. The research addresses an important gap in the literature to jointly analyze macroeconomic stability and environmental sustainability within a unified framework for a developing economy like Pakistan. The need for this study arises from Pakistan’s dual challenges of persistent macroeconomic instability and rising environmental stress, which together threaten progress toward the Sustainable Development Goals (SDGs). Positive energy shocks are strongerth annegative shocks arising from CO2, external debt, and inflationin explicating variation inPakistan’s sustainable development. The study finds that renewable energy consumption has the most significant long-term impact on sustainable development, accounting for 33.83% of the forecast error variance. Overall, 55.50% of sustainable development is predicted by environmental factors,14.66% by macroeconomic variables, and 29.84% by its shock. Such results lead to accepting the hypothesis that ecological and macroeconomic stability significantly affect the sustainable development of Pakistan. In the long run, renewable energy consumption has a positive impact on sustainable development, promoting energy security, supporting economic growth, and maintaining environmental stability. The results of diagnostic tests suggest that the structural VAR approach is specified correctly. This study recommends that all economic policies be designed to highlight the need for comprehensive reforms that align economic stability with environmental resilience to achieve sustainable development. In the context of Pakistan, positive shocks arising from renewable energy consumption demonstrate a stronger influence on variations in sustainable development compared to negative shocks arising from CO₂ emissions, external debt, and inflation. This highlights the central role of energy transitions in achieving sustainability.

Open Access: Yes

DOI: 10.1007/s43621-025-02226-1

The Role and Selection Criteria of Binder Materials for Sustainable Filaments Used in Additive Manufacturing

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 73-78

Description:

The growing adoption of additive manufacturing increases the need for filament materials that satisfy both technical and environmental requirements. In Fused Filament Fabrication (FFF), the binder system in metal–polymer filaments plays a key role in determining environmental impact and processing quality. This review analyses potential binder materials for FFF-based metal additive manufacturing, focusing on how their properties influence printability, thermal stability, debinding behaviour, and the mechanical performance of green parts. Comparative data on thermal and mechanical characteristics are presented for conventional and bio-based polymers. The candidate binder materials show melting points between 60 °C and 200 °C and degradation onset from 240 °C to 340 °C, defining their usability range. PLA provides the highest strength, while PCL and TPS offer flexibility and low-temperature processing. PVB/PEG ensures rigidity and clean debinding, and HPMC enables easy water removal. PLA, TPS, and HPMC exhibit the best sustainability profile due to their bio-based origin. A similar comparative analysis has not been reported in the literature.

Open Access: Yes

DOI: 10.3303/CET25121013

The effects of autonomous buses to vehicle scheduling system

Publication Name: Procedia Computer Science

Publication Date: 2020-01-01

Volume: 170

Issue: Unknown

Page Range: 235-240

Description:

We are more and more closer to time when mass value of autonomous vehicles is appearing in road traffic. The number of unanswered questions does not diminish but growing. One such issue is the role of autonomous vehicles in public transport. When talking about autonomous vehicles we often think of only cars and we think less about self-driving buses. But the economic potential inherent in autonomous buses is huge. In the Hungarian vehicle and crew scheduling practice the one driver-one vehicle control is typical. This method closely links the vehicles and the drivers. Vehicles should therefore adapt to the rest time of the crew and the employment rules. Unused reserves are generated in the system. Autonomous vehicles can release this overcapacity. Thanks to that, fewer vehicles can carry out public transport tasks and we can save extra rides. It also provides a solution to the lack of drivers, which is a basic problem in many countries. In our study we show the reserves that can be recovered from the system in a case of a Hungarian city, Eger. We show how much savings can be achieved by running autonomous buses in a European city with a population of 50,000 inhabitants. Our suppositions are only unsure statements what try to help in the preparing of the future.

Open Access: Yes

DOI: 10.1016/j.procs.2020.03.035