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Publications - 6374

A megismerés és az értelmezés konstrukciói Tanulmányok Tolcsvai Nagy Gábor tiszteletére

Komlósi László Imre

Publication Name: Magyar Nyelv

Publication Date: 2015-01-01

Volume: 111

Issue: 2

Page Range: 239-244

Description:

No description provided

Open Access: Yes

DOI: 10.18349/MagyarNyelv.2015.2.244

Description of Ixodes lanigeri sp. nov., a new hard tick species (Acari, Ixodidae) collected from mouse-eared bats (Vespertilionidae, Myotis) in Vietnam

Ai Takano Jenő Kontschán Yasuhiro Gotoh Vuong Tan Tu Sándor Hornok Alexandre Hassanin

Publication Name: Zookeys

Publication Date: 2024-01-01

Volume: 2024

Issue: 1215

Page Range: 107-125

Description:

Historically, for more than one and a half centuries, only one so-called “long-legged bat tick” species, i.e., Ixodes vespertilionis Koch was known to science. However, during the past decade, it was recognized on a molecular basis that long-legged ixodid ticks associated with bats may represent at least six species. Of these, until recently, five have been morphologically described. In this study, Ixodes ticks were collected from two Myotis species in southeastern Asia, Vietnam. Based on the morphological and molecular characteristics of the female, nymph and larva, Ixodes lanigeri Hornok, sp. nov. is described here. The male is unknown. Like other members of the Ixodes ariadnae complex, I. lanigeri Hornok apparently shows a preference for vesper bats as its typical hosts. In this context, host-association and geographical separation may explain the evolutionary divergence of I. lanigeri Hornok from its closest relative occurring on Murina hilgendorfi Peters in East Asia, Japan, because no Myotis or Murina spp. have overlapping distribution between Vietnam and the main islands of Japan. On the other hand, supposing that (similarly to I. ariadnae) I. lanigeri Hornok probably occurs on other myotine bats and knowing that several Myotis species indigenous in Vietnam have a broad geographical range in southern and southeastern Asia, the new tick species most likely has a widespread distribution in this area.

Open Access: Yes

DOI: 10.3897/zookeys.1215.123624

Investigation of frequency dependent mechanical properties of porous materials using dynamic mechanical analyzer and frequency-temperature superposition theory

Balázs Vehovszky Attila Schweighardt

Publication Name: Proceedings of Inter Noise 2021 2021 International Congress and Exposition of Noise Control Engineering

Publication Date: 2021-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In acoustic design of engineering applications - such as in the acoustic analysis of passenger vehicles - poroelastic materials are of great importance. One of the most influencing properties in determining their noise-reduction potential is the storage modulus. The purpose of this study is to examine the frequency dependence of storage modulus of selected porous acoustic materials at least up to 1000 Hz. This is executed by using the combined use of dynamic mechanical analyzer and frequency-temperature superposition theory. All other methods for measuring the storage modulus fall short in determining frequency-dependence above 100 Hz: quasi-static mechanical analyzer is mostly used for determining an averaged constant value deduced from low-frequency measurements, while the usage of an electromagnetic shaker capable for high-frequency excitation may include effects of fluid motion inside the pores, thus significantly modifying the results. Frequency-temperature superposition enables to determine the storage modulus values in a wide frequency range, based on low-frequency measurements, where fluid-structure interaction is negligible. It was found that the modulus varied significantly up to and beyond 1000 Hz, and thus, acoustical characterization of these materials can be significantly improved using the proposed method. The work concludes with recommendations to improve the accuracy of the results.

Open Access: Yes

DOI: 10.3397/IN-2021-2859

Dynamic Changes in Systemic Inflammatory Indices Predict Residual High-Grade Lesions After Margin-Positive Cervical Conization: A Multicenter Retrospective Study

Barbara Sebők Márton Keszthelyi Kornél Lakatos Lotti Lőczi Richárd Tóth Balázs Vida Verita Szabó Ádám Tabányi Gabriella Vajda Nándor Ács Balázs Lintner

Publication Name: Cancers

Publication Date: 2026-04-01

Volume: 18

Issue: 7

Page Range: Unknown

Description:

Background/Objectives: Cervical cancer remains a global health burden. The loop electrosurgical excision procedure (LEEP) is effective for cervical intraepithelial neoplasia. Positive margins often complicate decisions about repeat conization. HPV testing is standard in post-treatment surveillance, but its limited specificity shows the need for additional, cost-effective biomarkers. This study evaluated whether changes in systemic inflammatory indices—platelet-to-lymphocyte ratio (PLR), systemic inflammation response index (SIRI), and systemic immune-inflammation index (SII)—can predict residual high-grade lesions after incomplete excision. Methods: This multicenter retrospective study included 125 patients who underwent repeat surgery after LEEP due to positive margins. Changes in preoperative inflammatory indices (ΔPLR, ΔSIRI, ΔSII) between the first and second procedures were analyzed by the histopathological findings of the second surgery. Group differences were assessed using the Mann–Whitney U test, and receiver operating characteristic (ROC) analysis was used to evaluate discriminatory performance. Results: Significant differences were found in ΔPLR (p = 0.032) and ΔSII (p = 0.048) between patients with and without residual high-grade lesions or invasive cancer. ΔSIRI showed borderline significance (p = 0.050). For invasive cancer alone, ΔSIRI was significantly associated with malignancy (p = 0.035). ROC analysis showed modest predictive performance (AUC ≈ 0.60). Conclusions: Dynamic changes in PLR, SIRI, and SII may be as inexpensive adjunct biomarkers to support risk stratification after incomplete LEEP and can complement HPV testing in certain clinical settings.

Open Access: Yes

DOI: 10.3390/cancers18071114

Renewable energy and the macroeconomic space in India: A Bayesian VAR approach

Gagan Deep Sharma Anshita Sachan Swapnanil SenGupta

Publication Name: Renewable Energy

Publication Date: 2026-04-01

Volume: 261

Issue: Unknown

Page Range: Unknown

Description:

India's rapid rise as a global renewable energy producer is occurring alongside a significant economic transformation. The present study explores the relationship between renewable energy production (REN) and key economic drivers, namely, Gross Domestic Product (GDP), foreign direct investment (FDI), trade openness, patents, oil production, and public-private participation in energy over the period from 1990 to 2021. Using a Bayesian Vector Autoregression (BVAR) framework, we uncover nonlinear and time-varying effects: patents stimulate renewable output but with diminishing returns, FDI consistently suppresses growth in renewables, GDP exhibits an inverted U-shaped relationship, and trade openness follows a U-shaped trajectory. Oil production initially supports but later crowds out renewable generation, while private investment shows delayed positive effects after an initial drag. Variance decomposition highlights a shift from self-driven dynamics in the short run toward macroeconomic and structural determinants in the long run, with GDP, FDI, and R&D increasingly explaining variation in REN over time. The findings posit that renewable energy in India is both a driver and a product of wider economic shifts, calling for policies that synchronise innovation, trade, finance, and energy governance to ensure a resilient low-carbon transition.

Open Access: Yes

DOI: 10.1016/j.renene.2026.125298

Modeling enablers for blockchain adoption in the circular economy

Horst Treiblmaier Suhaiza Zailani John G. Keogh Abderahman Rejeb Karim Rejeb

Publication Name: Sustainable Futures

Publication Date: 2022-01-01

Volume: 4

Issue: Unknown

Page Range: Unknown

Description:

Blockchain technology can play a crucial role to facilitate the transition from a linear to a circular economy. This article evaluates those enablers that influence technology adoption in the circular economy. A comprehensive literature review and feedback from experts revealed nineteen critical enablers. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology was used to determine the cause-and-effect relationships between them. The findings identified five critical causal enablers: transparency, security, smart contracts, traceability, and enhanced collaboration. Effect enablers were identified as immutability, decentralization, privacy, automation, information sharing, and enhanced regulation.

Open Access: Yes

DOI: 10.1016/j.sftr.2022.100095

Safety Assessment of Different Stability Design Rules for Beam-columns

G. Hajdú F. Papp

Publication Name: Structures

Publication Date: 2018-06-01

Volume: 14

Issue: Unknown

Page Range: 376-388

Description:

In EC3-EN 1993-1-1, there are three different methods to check the global stability resistance of steel columns, beams, and beam-columns. The design formulas are based on buckling curves, which are available for purely compressed or purely bended members with uniform cross-sections. Beam-columns are subjected to compressive force and the bending moment can be designed using the so-called interaction formula where the interaction factors may be alternatively determined. Over the past few years, many research groups have worked on correcting and improving the accuracy of the available design methods for steel members. The aim of this paper is to compare the accuracy of the different revised methods for steel beam-columns. In order to investigate the accuracy of the above-mentioned design methods, numerous geometrically and materially nonlinear analyses with imperfections (also known as GMNIA) were executed by previous research projects. The results of the semi-probabilistic safety assessments may help the designer choose the most reasonable method for their design works.

Open Access: Yes

DOI: 10.1016/j.istruc.2018.05.002

Challenges of ecocentric sustainable development in agriculture with special regard to the internet of things (IoT), an ICT perspective

A. J. Kovács Bálint Ambrus Gergely Teschner Tarek Alahmad A. Nyéki M. Neményi

Publication Name: Progress in Agricultural Engineering Sciences

Publication Date: 2023-12-20

Volume: 19

Issue: 1

Page Range: 113-122

Description:

“Feed the global population and regenerate the planet.” The conditions necessary for the implementation of the above commonly used slogan did not exist 10–15 years ago. We did not have access to the information and databases that would have allowed us to increase yields for the purpose of feeding the growing population. While increasingly meeting sustainability requirements and regenerating the Earth. Anthropocentrism, the belief that humans are superior to everything else, benefits humans by exploiting human greed and ignorance, which is a dead end for both individuals and societies. Only humans can ignore the dynamic equilibrium processes of nature and disregard the consequences that adversely affect future generations. Ecocentric agricultural practices have several prerequisites. It is important for the academic sphere to recognize its significance. Another fundamental challenge is the continuous monitoring of the production unit and its close and distant environment for the purpose of decision preparation using Big Data. The Internet of Things (IoT) is a global infrastructure that represents the network of physical (sensors) and virtual (reality) “things” through interoperable communication protocols. This allows devices to connect and communicate using cloud computing and artificial intelligence, contributing to the integrated optimization of the production system and its environment, considering ecocentric perspectives. This brings us closer to the self-decision-making capability of artificial intelligence, the practice of machine-to-machine (M2M) interaction, where human involvement in decision-making is increasingly marginalized. The IoT enables the fusion of information provided by deployed wireless sensors, data-gathering mobile robots, drones, and satellites to explore complex ecological relationships in local and global dimensions. Its significance lies, for example, in the prediction of plant protection. The paper introduces small smart data logger robots, including the Unmanned Ground Vehicles (robots) developed by the research team. These can replace sensors deployed in the Wireless Sensor Net (WSN).

Open Access: Yes

DOI: 10.1556/446.2023.00099

Empowering energy transition: Green innovation, digital finance, and the path to sustainable prosperity through green finance initiatives

Gagan Deep Sharma Mohammad Razib Hossain Amar Rao Dhairya Dev Aeshna Kharbanda

Publication Name: Energy Economics

Publication Date: 2024-08-01

Volume: 136

Issue: Unknown

Page Range: Unknown

Description:

This study delves into the intricate relationship between financial digitization and green innovation, aiming to shed light on their dynamic interplay within a global context. Spanning from 2003 to 2020, the study encompasses 15 diverse countries, encompassing both developed and emerging economies, including Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Russian Federation, South Africa, Turkey, the United Kingdom, and the USA. It not only explores the direct connection between financial digitization and green innovation but also takes into account various controlling factors such as economic growth, industrial value addition, research and development expenditure, and gross national expenditure. The key findings from quantile regression reveal financial digitization have a significant positive effect, indicating that in countries with lower green innovation levels, an increase in digital financial services significantly boosts green innovation. This positive impact persists across quantiles, even in countries with higher green innovation levels, albeit to a lesser degree. Economic growth consistently shows a negative association with green innovation across all quantiles. Research and development expenditure consistently demonstrate a positive relationship with green innovation across all quantiles, emphasizing that countries allocating a higher percentage of their economic growth to research and development expenditure activities experience substantial increases in green innovation. This underscores that countries allocating a higher percentage of their economic growth to research and development expenditure activities experience substantial increases not only in green innovation but also in the facilitation of green finance initiatives.

Open Access: Yes

DOI: 10.1016/j.eneco.2024.107736