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Publications - 6342

Xenillus meridaensis sp. nov. (Acari, Oribatida, Liacaridae) from Venezuela, including a key to all species of the genus from the Neotropical region

Sergey G. Ermilov Jenő Kontschán

Publication Name: International Journal of Acarology

Publication Date: 2025-01-01

Volume: 51

Issue: 1

Page Range: 34-41

Description:

A new species of Xenillus (Oribatida, Liacaridae)–X. meridaensissp. nov.–is described, based on adults collected from sweep samples in the cloud forest in Venezuela. The new species differs from its closely related species, X. capitatus, by its far larger body size, the morphology of the cusp of the lamella, the morphology of the lamellar seta, the surface of the notogaster, and the number of genital setae. An identification key to the Neotropical Xenillus species is given.

Open Access: Yes

DOI: 10.1080/01647954.2024.2423920

Experiencing the sense of presence within an educational desktop virtual reality

Borbála Berki

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2020-01-01

Volume: 17

Issue: 2

Page Range: 255-265

Description:

This study examines the sense of presence in MaxWhere desktop virtual reality. Thirty-one people participated in the research. The participants spend about fifteen minutes in the virtual environment. For measuring presence, the Igroup Presence Questionnaire (IPQ) was used. The results showed that more automatic navigation positively relates to spatial presence. This research also measured the participants' level of experience with the VR software. A significant difference was found in the spatial presence and experienced realism: the more experienced users gave higher ratings on both subscales. At the same time, the involvement and the general presence scores were similar in the two groups, which is advantageous in education as the presence is positively related to the learning outcome.

Open Access: Yes

DOI: 10.12700/APH.17.2.2020.2.14

Inequality in educational returns in Hungary

Péter Róbert Tamás Keller

Publication Name: Education Occupation and Social Origin A Comparative Analysis of the Transmission of Socio Economic Inequalities

Publication Date: 2016-04-29

Volume: Unknown

Issue: Unknown

Page Range: 49-64

Description:

No description provided

Open Access: Yes

DOI: DOI not available

DISTRIBUTION-FREE DATA UNCERTAINTY FOR NEURAL NETWORK REGRESSION

Péter Kersch Domokos Kelen Ádám Jung András Benczúr

Publication Name: 13th International Conference on Learning Representations Iclr 2025

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 67459-67490

Description:

Quantifying uncertainty is an essential part of predictive modeling, especially in the context of high-stakes decision-making. While classification output includes data uncertainty by design in the form of class probabilities, the regression task generally aims only to predict the expected value of the target variable. Probabilistic extensions often assume parametric distributions around the expected value, optimizing the likelihood over the resulting explicit densities. However, using parametric distributions can limit practical applicability, making it difficult for models to capture skewed, multi-modal, or otherwise complex distributions. In this paper, we propose optimizing a novel nondeterministic neural network regression architecture for loss functions derived from a sample-based approximation of the continuous ranked probability score (CRPS), enabling a truly distribution-free approach by learning to sample from the target's aleatoric distribution, rather than predicting explicit densities. Our approach allows the model to learn well-calibrated, arbitrary uni- and multivariate output distributions. We evaluate the method on a variety of synthetic and real-world tasks, including uni- and multivariate problems, function inverse approximation, and standard regression uncertainty benchmarks. Finally, we make all experiment code publicly available.

Open Access: Yes

DOI: DOI not available

COMPARISON OF TRANSFER FUNCTIONS OF OPEN EAR CANAL HEADSETS MEASURED ON A DUMMY-HEAD AND A HUMAN HEAD

Gyorgy Wersenyi

Publication Name: Proceedings of Forum Acusticum

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Headsets that leave the ear canal open are used where environmental noise and acoustical information have to be maintained, while additional sound transmission is also required. Besides classical supra aural and in-ear phones having “hear through” functions, bone conduction and “tube-like” headsets inserted in the ear canal can be used. Usually, the transfer parameters of these devices are inferior to traditional headphones, providing decreased sound quality, sensitivity and speech intelligibility. Two different commercially available bone conduction headphones, an in-ear tube type earphone and supra aural models were tested using a dummy-head and a real human head for comparison. Measured transfer functions show the limited frequency range of open ear canal models that restricts the accessibility of such devices. Variability in repeated measurements is relatively large. Standardization of the measurement procedure for bone conduction headsets is needed, where the inclusion of human subjects can be considered.

Open Access: Yes

DOI: DOI not available

Strong stability preserving explicit peer methods

Rüdiger Weiner Helmut Podhaisky Zoltán Horváth

Publication Name: Journal of Computational and Applied Mathematics

Publication Date: 2016-04-01

Volume: 296

Issue: Unknown

Page Range: 776-788

Description:

In this paper we study explicit peer methods up to order p=13 which have the strong stability preserving (SSP) property. This class of general linear methods has the favourable property of a high stage order. The effective SSP coefficient is maximized by solving a nonlinear constraint optimization problem numerically to high precision. The coefficient matrices of the optimized methods are sparse in a very structured way. Linear multistep methods are obtained as a special case of only one stage.

Open Access: Yes

DOI: 10.1016/j.cam.2015.11.005

Optimisation of island integrated energy system based on marine renewable energy

Jinshu Lu Baoying Guo Yujie Chen Bohong Wang Hengcong Tao Ting Pan Wen Zhao Petar Sabev Varbanov

Publication Name: Fundamental Research

Publication Date: 2025-09-01

Volume: 5

Issue: 5

Page Range: 2161-2179

Description:

Integrating marine renewable energy (MRE) with conventional energy sources and logically constructing island energy systems is crucial for alleviating island energy supply challenges and helping coastal energy systems achieve a sustainable, low-carbon transition. In this study, the status of marine energy utilisation technologies is reviewed, with a focus on advancements in energy conversion equipment, grid integration, and energy storage. The economic feasibility and environmental sustainability of marine energy systems are comparatively analysed to enhance the development and utilisation of marine energy technology while reducing the economic cost of power generation. Suitable equipment is highlighted for islands, with efficient energy generation strategies proposed to achieve cleaner, localised, and cost-effective island integrated energy system (IIES) design. Island energy facilities vary, and integrated development is crucial for building new energy systems. Based on the types and resources of island energy, IIESs are constructed for hierarchical energy utilisation and multi-energy coupling, coordinating resources to achieve source–grid–load–storage integration. The optimisation of IIESs is reviewed, with a focus on modelling methods, intelligent algorithm development, and system simulation. This study differs from previous research as it considers the integration of marine energy into existing systems to achieve comprehensive integration of multiple energy sources. Additionally, optimisation and solution methods for IIES models are summarised. To integrate complex, multivariable energy systems and create stable and predictable outputs, marine energy and load forecasting methods are explored. Overall, this study supports the advancement of marine energy utilisation, focusing on its progressive integration into island energy systems as the efficiency of marine energy improves. This work aims to inspire the development of new functions and modules based on existing system optimisation and forecasting techniques.

Open Access: Yes

DOI: 10.1016/j.fmre.2024.11.022

Numbers do not lie, but they can mislead: rethinking what doping prevalence statistics really mean

Andrea Petróczi

Publication Name: Journal of Sports Medicine and Physical Fitness

Publication Date: 2025-07-01

Volume: 65

Issue: 7

Page Range: 835-838

Description:

No description provided

Open Access: Yes

DOI: 10.23736/S0022-4707.25.17281-2

Enhanced Heat Recovery Network with Integrated Sensible Heat Storage Facilities for Energy Intensive Industry

Ákos Orosz Viknesh Andiappan Bing Shen How Tiffany Ang Ferenc Friedler

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 120

Issue: Unknown

Page Range: 19-24

Description:

Energy-intensive industries contribute large amounts of greenhouse gas emissions. An effective strategy to decarbonise these industries is by applying process integration tools to enhance energy efficiency and reduce overall energy consumption. Recent studies showed that thermal energy storage offers significant benefits in energy efficiency enhancement, as it can amplify the energy recovery potential. Despite its potential, studies that applied process integration tools to address heat recovery problems with consideration of heat storage remain limited. This work develops an optimisation framework that aims to determine optimal heat storage type and size based on the total annualised cost (i.e., costs associated with storage facilities and utilities) to form a feasible heat recovery network between plants. The proposed framework is demonstrated through a case study that focuses on optimising the sensible heat storage selection for indirect heat integration between a mixed plastic waste treatment plant and a steel mill. By analysing the performance and effectiveness of the storage media studied, nitrate salt storage medium is selected due to its greatest energy and cost savings of 12.7 % and 20.7 %, when compared to direct Heat Integration. Insights from this provide information on the feasibility of implementing a storage-supported heat recovery network in the energy-intensive industry.

Open Access: Yes

DOI: 10.3303/CET25120004