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Publications - 6374

Statistical and fuzzy signature-based analysis of the aggressive attitudes of a forensic population

Dalia Susniene Daiva Žostautienė Ojaras Purvinis Laszlo T. Koczy

Publication Name: Journal of Infrastructure Policy and Development

Publication Date: 2024-01-01

Volume: 8

Issue: 8

Page Range: Unknown

Description:

Clustering technics, like k-means and its extended version, fuzzy c-means clustering (FCM) are useful tools for identifying typical behaviours based on various attitudes and responses to well-formulated questionnaires, such as among forensic populations. As more or less standard questionnaires for analyzing aggressive attitudes do exist in the literature, the application of these clustering methods seems to be rather straightforward. Especially, fuzzy clustering may lead to new recognitions, as human behaviour and communication are full of uncertainties, which often do not have a probabilistic nature. In this paper, the cluster analysis of a closed forensic (inmate) population will be presented. The goal of this study was by applying fuzzy c-means clustering to facilitate the wider possibilities of analysis of aggressive behaviour which is treated as a heterogeneous construct resulting in two main phenotypes, premeditated and impulsive aggression. Understanding motives of aggression helps reconstruct possible events, sequences of events and scenarios related to a certain crime, and ultimately, to prevent further crimes from happening.

Open Access: Yes

DOI: 10.24294/jipd.v8i8.5727

Decentralized finance and sustainability analysis of global research patterns and emerging themes

Jewel Kumar Roy Heba F. Zaher

Publication Name: Discover Sustainability

Publication Date: 2026-12-01

Volume: 7

Issue: 1

Page Range: Unknown

Description:

Decentralized finance (DeFi) is rapidly transforming financial systems, yet its environmental, social, and economic sustainability implications remain underexplored. To address this gap, we conducted a structured review of peer-reviewed literature published between 2022 and 2025, drawing on 239 records retrieved from Scopus and Web of Science and screened through the PRISMA 2020 protocol in Covidence. The review combined bibliometric analysis, thematic mapping, and a systematic review to synthesize patterns, clusters, and critical insights. Bibliometric results show a sharp post-2023 rise in outputs, with China leading in publication volume and Switzerland achieving the highest citation impact, although collaboration networks remain fragmented and weakly connected. Thematic analysis reveals three dominant clusters: blockchain-driven financial innovation, AI and fintech applications for sustainability, and green economy transitions, highlighting DeFi’s dual role as a driver of transparency and inclusion but also a source of energy inefficiency and systemic risk. The systematic review further identifies regulatory gaps, particularly around Maximal Extractable Value (MEV), and emphasizes the need for energy-efficient consensus mechanisms, standardized ESG metrics for tokenized assets, and inclusive platform designs to bridge digital divides. By aligning DeFi’s disruptive potential with sustainability objectives, the study proposes hybrid governance models and interdisciplinary collaboration to foster a resilient, equitable, and low-carbon financial ecosystem, underscoring the urgency of balancing technological innovation with planetary boundaries to realize DeFi’s promise as a catalyst for sustainable development.

Open Access: Yes

DOI: 10.1007/s43621-025-02311-5

The design of digital motivational systems for online education platform as a functional pre-test for future m-learning application integration

Istvan Biro

Publication Name: 2022 1st IEEE International Conference on Cognitive Aspects of Virtual Reality Cvr 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 73-78

Description:

Today, VR is used in more and more fields (education, production, healthcare, banking, etc.). In connection with the spread of 3D VR, the number of developments aimed at displaying features on mobile devices has increased. The m-learning methodology and application development presented in the article aim to demonstrate the potential of digital motivation systems to expand people's psychological, cognitive, and social skills by developing a system of habits related to digital learning and content consumption. The article thus relates well to the philosophy of cognitive aspects of virtual reality (cVR). The goal of this research was to create and test a new theoretical model of online habit forming motivation system with available 3rd party tools.

Open Access: Yes

DOI: 10.1109/CVR55417.2022.9967660

Age-Specific Responses to Immersive Virtual Reality During Pediatric Venipuncture: Evidence from Routine Clinical Practice

Péter Prukner Domonkos Tinka Márta Kovács Mohammad Milad Shafaie

Publication Name: Healthcare Switzerland

Publication Date: 2026-01-01

Volume: 14

Issue: 2

Page Range: Unknown

Description:

Background/Objectives: Virtual reality (VR) is increasingly used to reduce pain during pediatric needle procedures, but its effectiveness may vary by developmental stage and gender. This study evaluated whether immersive VR reduces venipuncture pain in children and adolescents and examined parent–patient agreement and gender-specific response patterns. Methods: A prospective nonrandomized clinical study was conducted within a hospital-based pediatric venipuncture service using an alternating 1:1 allocation sequence. Participants aged 4–18 years underwent venipuncture with either VR (n = 49) or standard care (n = 29). Procedural pain was measured using the Faces Pain Scale–Revised (FPS-R) with independent parent ratings. Analysis of covariance (ANCOVA) compared post-procedural FPS-R scores while adjusting for baseline pain. Exploratory age and gender-specific analyses were also performed. Results: VR led to a clear reduction in pain for children, even after adjusting for baseline scores (3.55 vs. 4.73; p = 0.003). Adolescents, however, reported similarly low pain in both groups (2.81 vs. 2.79; p = 0.60), and several mentioned that the PEGI 3 content felt too young for them, which likely limited how engaged they were. Among children, girls showed the most noticeable drop in pain, which matches the subgroup’s adjusted significance (p = 0.011). Parent–patient agreement was stronger in children (r ≈ 0.7–0.8) than in adolescents (r ≈ 0.4–0.5), and VR did not change this pattern. Most participants said they would choose VR again for future procedures. Conclusions: Immersive VR helped reduce venipuncture pain in children but had little effect in adolescents, underscoring the need for age-appropriate or more interactive VR content for older patients. Overall, these findings support using VR selectively as a distraction tool that fits the developmental needs of pediatric groups.

Open Access: Yes

DOI: 10.3390/healthcare14020173

Optimizing the geometry of a cylindrical dielectric resonator antenna (CDRA) in combination with the design of a microstrip patch antenna to improve antenna efficiency

Hussein Turki Alateewe Szilvia Nagy

Publication Name: Periodicals of Engineering and Natural Sciences

Publication Date: 2024-01-01

Volume: 12

Issue: 1

Page Range: 5-18

Description:

The primary objective of this study is to improve the efficiency of dielectric resonator antennas (DRAs) by the manipulation of their geometric and material characteristics. Two distinct cylindrical dielectric resonator antenna (DRA) with microstrip patch antenna designs chosen, and deliberate modifications implemented in a systematic manner to enhance crucial characteristics including gain, bandwidth, S-parameters, voltage standing wave ratio (VSWR), and directivity. Furthermore, an investigation was conducted to assess the efficacy of incorporating additional layers into the design of the DRA to achieve increased gain and enhanced efficiency at a frequency of 28 GHz. The research encompassed the process of collecting and designing and simulating CDRA and microstrip patch antenna antennas utilizing the CST framework. The study investigates different configurations of apertures and alterations or holes in the patch geometry to improve both the gain and efficiency. A comparative analysis between both antennas was carried out utilizing performance criteria such as S-parameters, gain, directivity, bandwidth, and VSWR and efficiency. The discourse explores the progress made in the field of technology pertaining to the improvement of gain and bandwidth. This includes the utilization of high-dielectric-constant materials, modifications in resonant frequencies, and the implementation of metamaterial (MTM) cells. The CST program is utilized for conducting realistic trials and assessments. The research highlights the advantages of CDRA antennas and microstrip patch antennas, including improved radiation efficiency, smaller size, lower profile, and lightweight design. The integration of photonic crystal layers into the design of the cylindrical dielectric resonator antenna (CDRA) was emphasized as a noteworthy enhancement, resulting in amplified gain. The significance of considering both intrinsic characteristics and external factors, such as surface Plasmon waves, in the computational modeling of DRA antennas to achieve maximum efficiency is emphasized by the research.

Open Access: Yes

DOI: 10.21533/pen.v12i1.3934.g1351

A Linear Driver Model of Local Path Planning for Lane Driving

Erno Horváth Gergo Igneczi Krisztian Nyilas

Publication Name: Sisy 2023 IEEE 21st International Symposium on Intelligent Systems and Informatics Proceedings

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 103-108

Description:

Modern lane centering assistance systems often use the mid-lane as a reference line for tracking. However, human drivers prefer to keep an offset to the mid-lane. Therefore, we have proposed in our previous work a driver model which calculates human-like offset values and enable the path planner to plan human-like paths. The driving data of 15 drivers have been analyzed. It has been revealed that drivers behave differently in left or right curves and choose to drive on either the left or the right side in straight road sections. Therefore, we extend our model to handle these traits. We have shown that the extended model outperforms the previous symmetric model.

Open Access: Yes

DOI: 10.1109/SISY60376.2023.10417953

Combination of Sustainable Agriculture and Renewable Energy Systems

Balázs Vehovszky Zoltán Weltsch Bernadett Rádli-Burján Ferenc Magyar Lóránt Kovács

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 913-918

Description:

It is now not a question anymore that the fossil fuel-based energy system of human civilization has to be converted into a sustainable energy cycle during the 21st century. In most cases, the introduction of related, novel energetical technologies and solutions leads to disadvantageous interferences with other fields of life. Perhaps the most critical example is the competition between the energy sector and the food industry for valuable agricultural land. Although the two utilization purposes are generally considered mutually exclusive, there are agro-energetical solutions where the two goals are not just indifferent, but they expressly increase each other's efficiency. Such solutions are the agro-photovoltaic systems, where photovoltaic panels are installed in a way that is advantageous for the crops below them. Some plants, such as berries, prefer shady to semi-shady environments, which can be optimally provided under partially covered PV fields. With the active control of the PV panels, ideal shading conditions and even mechanical protection can be ensured in case of extreme weather events. With the appropriate selection of the crop plants and the PV installation, cultivation processes are not hindered, can be highly automated, and the energy needs can be fully covered by the local PV system. From the above description, it is clear that the realization of efficient agro-photovoltaic systems is not just possible but really prosperous. This study offers a more detailed overview of currently realized solutions around the world, as well as a thorough planning process of an agro-photovoltaic project at the ZalaZONE test center, optimized for the Hungarian climatic and agricultural conditions and possibilities.

Open Access: Yes

DOI: 10.3303/CET24114153

Scheduling Manufacturing with Flexible Recipes to Maximize the Utilization of Renewable Energy

Botond Bertok Károly Kalauz Márton Frits

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 955-960

Description:

The production schedule has a direct impact on the periodic utilization and energy consumption of equipment units. Meanwhile, for companies operating small power plants, the available renewable solar or wind energy changes continuously during the day, as does the hourly market price of the energy that can be purchased. Fortunately, the flexibility of production, possible schedules, or alternative recipes allow not only the minimization of costs but also the maximum use of renewable resources. The novelty of the P-graph-based method proposed here is the integration of three component problems into a single optimization model, namely the production scheduling by discrete event formulation, the management of flexible recipes by process synthesis, and the maximal renewable energy utilization according to discrete-time energy production and market price forecasts by representing them with temporarily available resources. The challenge of formalizing the optimization problem lies in synchronizing the time model of production scheduling with the resolution of market price and renewable energy production forecasts. The results show that the flexibility to alter both the sequence and schedule of operations by the integrated optimization model plays a critical role in optimizing energy usage.

Open Access: Yes

DOI: 10.3303/CET24114160

Categories of various plant biostimulants - Mode of application and shelf-life

Heino B. Papenfus Shubhpriya Gupta Vince Ördög Karel Doležal Jeffrey Norrie Wendy A. Stirk Alan T. Critchley Johannes van Staden James F. White Manoj G. Kulkarni

Publication Name: Biostimulants for Crops from Seed Germination to Plant Development A Practical Approach

Publication Date: 2021-01-01

Volume: Unknown

Issue: Unknown

Page Range: 1-60

Description:

A plant biostimulant is any substance or microorganism which can be applied to plants to enhance seed germination and plant growth development along with its nutritional efficiency. Plant biostimulants collectively influence: plant growth development, pollen tube development, flower and fruit set, plant pigments, shoot and root development, nutritional efficiency, yield and shelf-life of crops, rhizospheric and soil microorganisms, general soil health and plant-environment interactions. Biostimulants are derived from natural origins and can help reduce the use of chemical products and also mitigate the negative impacts of harmful chemicals in the environment. This chapter focuses on their modes of application and effects on crops and horticultural plants. It also emphasizes impacts on the shelf-life and efficiencies of commercial biostimulants, as compared to synthetic chemical products and highlights the opportunities and challenges of their market expansion.

Open Access: Yes

DOI: 10.1016/B978-0-12-823048-0.00018-6