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Authors - 9808
Agnieszka Skala-Gosk
60190562200
Márton Török
14042707200
Dóra Horváth
57201522789
Jenő Zsolt Farkas
55169778100
Publications - 6374
Comparative 3-dimensional visualization of the equine petrosal bone
Publication Name: Magyar Allatorvosok Lapja
Publication Date: 2018-01-01
Volume: 140
Issue: 12
Page Range: 737-744
Description:
Background: The petrosal bone is one of the smallest and most complex among the bones of the equine skull. Its irregular surface, several projections and channels, and hidden inner structures make its visualization challenging. Textbooks usually show this bone on different drawings and photographs, where the structures' relationship and their spatial organization cannot be properly understood. Objectives: We wanted to create high-resolution surface models of certain petrosal bone structures in order to study them separately or in connection with the originál one. Materials and methods: First we captured photos from a skull and its left petrosal bone. The isolated bone was scanned with a microfocus CT (FOV: 1024x1024, size of a voxel: 0.06 x 0.06 x 0.06 mm) and DICOM images were exported. Image volume was analysed with FEI Amira 6.0 for LifeSciences software; during seg-mentation individually labelled fields were generated to the following structures: surface model of the petrosal bone, malleus, incus, os lenticulare, stapes, inner ear and the channel of the facial nerve. 3-dimensional models were made from the label fields, and after refinement STL (stereolithography) models were made. Results and discussion: Changing the opacity of the surface models gave a unique possibility to compare the inner structure of the same bone seen on photographs and on the 3D-model in different aspects. Enlarging and labelling the inner ear and the auditory ossicles were also performed. In order to show the outer and the inner structure more interactively, three short video animations were created which present the outer aspects, the middle ear cavity, the inner ear and the channel of the facial nerve (like a virtual endoscopy). Finally, the STL-model of the auditory ossicles associated with the inner ear was 3D-printed and colorized according to the surface models. In conclusion, the 3D-visualization (modelling, augmented and virtual reality, 3D-printing) can be an immense aid not only in the educational, but also in clinical and research fields.
Open Access: Yes
DOI: DOI not available
Analyzing perspectives on lifestyle m-health apps: User and non-user insights
Publication Name: Effective Digital Marketing for Improving Society Behavior Toward Dei and Sdgs
Publication Date: 2023-11-14
Volume: Unknown
Issue: Unknown
Page Range: 48-67
Description:
The aim of the research is to explore the theoretical background and experiences of using lifestyle (LS) applications from a user perspective. The objective is to identify the reasons for non-usage. To accomplish these research goals, four focus group interviews were conducted with students studying recreation management in the autumn of 2022. The focus group research findings indicated that sports and fitness apps were the participants' most favoured. The evaluation of LS applications identified usefulness, features, accessibility, and accuracy as the most significant factors. More students reported positive effects on their physical and mental health; however, they viewed the applications and smart devices as auxiliary tools. The main reasons for non-use included personal, technical, and usability issues, as discovered by the authors. This chapter provides an in-depth insight into alterations in health practices, incentives and encounters with mobile devices and LS apps, contributing to the field of service literature.
Open Access: Yes
Classification-based deep neural network vs mixture density network models for insulin sensitivity prediction problem
Publication Name: Computer Methods and Programs in Biomedicine
Publication Date: 2023-10-01
Volume: 240
Issue: Unknown
Page Range: Unknown
Description:
Model-based glycemic control (GC) protocols are used to treat stress-induced hyperglycaemia in intensive care units (ICUs). The STAR (Stochastic-TARgeted) glycemic control protocol – used in clinical practice in several ICUs in New Zealand, Hungary, Belgium, and Malaysia – is a model-based GC protocol using a patient-specific, model-based insulin sensitivity to describe the patient's actual state. Two neural network based methods are defined in this study to predict the patient's insulin sensitivity parameter: a classification deep neural network and a Mixture Density Network based method. Treatment data from three different patient cohorts are used to train the network models. Accuracy of neural network predictions are compared with the current model- based predictions used to guide care. The prediction accuracy was found to be the same or better than the reference. The authors suggest that these methods may be a promising alternative in model-based clinical treatment for patient state prediction. Still, more research is needed to validate these findings, including in-silico simulations and clinical validation trials.
Open Access: Yes
Global burden of amphetamine, cannabis, cocaine and opioid use in 204 countries, 1990–2023: a Global Burden of Disease Study
Muhammad Suleman
Masood Ali Shaikh
Jiseung Kang
Sa’ed H. Zyoud
Chuanhua Yu
Naohiro Yonemoto
Manish Vinayak
Georgios Ioannis Verras
Siavash Vaziri
Hyeon Jin Kim
Min Seo Kim
Magdalena Zielińska
Bin Zhu
Paul Yip
Dehui Yin
Renjulal Yesodharan
Tommi Juhani Vasankari
Joe Varghese
Jef Van den Eynde
Munkhtuya Tumurkhuu
Abdul Rohim Tualeka
Evangelia Eirini Tsermpini
Aristidis Tsatsakis
Alexander C. Tsai
Samuel Joseph Tromans
Atta Ullah
Masayuki Teramoto
Mohamad Hani Temsah
Reem Temsah
Yonas Getaye Tefera
Minale Tareke
Vinay Suresh
Vetriselvan Subramaniyan
Dan J. Stein
Chandrashekhar T. Sreeramareddy
Ireneous N. Soyiri
Joan B. Soriano
Soroush Soraneh
Roman Shrestha
Sunil Shrestha
Pavanchand H. Shetty
Premalatha K. ShettyS
Seyed Afshin Shorofi
Aminu Shittu
Ujjawal Sharma
Manoj Sharma
Javad Sharifi Rad
Amin Sharifan
Alfiya Shamsutdinova
Sunder Sham
Anthony Zhong
Jingya Zhang
Haijun Zhang
Mohammed G.M. Zeariya
Aurora Zanghì
Fathiah Zakham
Hadiza Yusuf
Zwanden Sule Yahaya
Marcos Roberto Tovani-Palone
Marco Torrado
Jovana Todorovic
Tenaw Yimer Tiruye
Kavumpurathu Raman Thankappan
Ker Kan Tan
Baljinder Singh
Jasvinder A. Singh
Luís Manuel Lopes Rodrigues Silva
João Pedro Silva
Inga Dora Sigfusdottir
Emmanuel Edwar Siddig
Mahabalesh Shetty
Ali Sheidaei
Vishal Sharma
Asokan Govindaraj Vaithinathan
Angga Wilandika
Shu Wang
Nuwan Darshana Wickramasinghe
Yuan Pang Wang
Mandaras Tariku Walde
Isidora S. Vujcic
Saeed Ullah
Nguyen Tran Minh Duc
Thang Huu Tran
Mircea Tampa
Seyyed Mohammad Tabatabaei
Rafael Tabarés-Seisdedos
Payam Tabaee Damavandi
Lukasz Szarpak
Chandan Kumar Swain
Alireza Shakeri
Masood Ali Shaikh
Aniefiok John Udoakang
Matiwos Soboka
Mehran Shams-Beyranvand
Y. Waheed
Farrukh Sobia
Anna Aleksandrovna Skryabina
Valentin Yurievich Skryabin
Surjit Singh
Sa’ed H. Zyoud
Asokan Govindaraj Vaithinathan
Harmanjit Singh
Paramdeep Singh
Shu Wang
Pavanchand H. Shetty
Marco Torrado
Premalatha K. ShettyS
Publication Name: Nature Medicine
Publication Date: 2026-02-01
Volume: 32
Issue: 2
Page Range: 527-544
Description:
Drug use disorders (DUDs) are emerging global public health challenges. Here we investigated the global and regional estimates of the prevalence and burden of DUDs, including amphetamine, cannabis, cocaine and opioid use disorders, from 1990 to 2023 for 204 countries and territories by using the Global Burden of Disease Study 2023. Overall, trends in global age-standardized disability-adjusted life-years of DUDs increased from 169.3 (95% uncertainty interval (95% UI), 134.4–203.9) per 100,000 people in 1990 to 212.0 (95% UI, 179.2–245.6) in 2023. In 2023, both prevalence and burden of DUDs were higher in high-income countries, particularly in the USA. The most prevalent DUDs in 2023 were cannabis use disorder (age-standardized prevalence, 270.8 (95% UI, 201.7–350.0) per 100,000 people) and opioid use disorder (205.9 (95% UI, 178.7–235.0)). Particularly, opioid use disorder showed a nearly twofold increase in prevalence and burden between 1990 and 2023. In 2023, compared with countries where cannabis use was illegal, countries permitting both recreational and medical cannabis use had higher prevalence rates for all types of DUDs. Proactive and effective policies are essential to mitigate the increasing global burden of DUDs.
Open Access: Yes
The potential impacts of Carbon Border Adjustment Mechanism (CBAM) on China's high-carbon industries
Publication Name: Energy
Publication Date: 2025-10-01
Volume: 333
Issue: Unknown
Page Range: Unknown
Description:
The implementation of the EU Carbon Border Adjustment Mechanism (CBAM) is expected to have complex impacts on the upstream industrial chain, including energy consumption and carbon emissions. China, being the largest trading partner of EU, has been proactively dealing with the potential impacts, however, few studies have been conducted on this topic, especially in the high-carbon industries. By employing the STIRPAT model and Ridge regression as the primary analytical tools, this study endeavors to explore the driving factors behind the potential impacts of CBAM on these industries. The STIRPAT model and Ridge regression were mainly used. Results show that: (1) the embodied carbon emissions in their exports from industries of iron and steel, and fertilizer of China would slowly increase until 2030; (2) energy structure, energy intensity and the share of exports to EU are significantly influence the embodied carbon emissions; (3) CBAM would have the greatest economic impacts on industries of iron and steel, and aluminium; (4) The carbon tariffs of all four industries would decline under the low-carbon scenario, with the aluminium industry decreasing the most. It is expected that if the CBAM covers both the upstream and downstream industries products, more carbon emissions would be included in the scope of CBAM levies, resulting in potential higher carbon tariffs to China's high-carbon industries.
Open Access: Yes
Precision agricultural technology for advanced monitoring of maize yield under different fertilization and irrigation regimes: A case study in Eastern Hungary (Debrecen)
Publication Name: Journal of Agriculture and Food Research
Publication Date: 2024-03-01
Volume: 15
Issue: Unknown
Page Range: Unknown
Description:
Precision agricultural (PrA) technology relies on the utilization of special equipment to access real time observations on plant health status, chlorophyll, nitrogen content, and soil moisture content. In this research new PrA technology (i.e., SPAD (Soil Plant Analysis Development), and UAV-based NDVI (Unmanned Aerial Vehicle-based Normalized Difference Vegetation Index) were used to monitor maize yield based on different filed trials in eastern part of Hungary. Our study aimed to examine the utilization of PrA technology specifically SPAD and UAV-based NDVI measurements for monitoring maize GY under irrigated and rainfed experimental setups in Hungary with varied nitrogen treatment for the year 2022. The results showed that the SPAD increased in all treatments (14.7 %; p < 0.05) from V6–V8 in the rainfed treatments, decreased significantly (p < 0.05) by 13.9 % (R1) and 30.6 % (R3). However, implementation of irrigation significantly increased the SPAD values in majority of treatments. Also, results reveal that, under irrigated and rainfed conditions the highest UAV-based NDVI value (0.703, 0.642) was obtained in V12 (A120 treatment) and highest NDVI value (0.728, 0.662) was obtained in Vn (A120 treatment). Remarekedly, irrigation led to significant differences (p < 0.05) of UAV-based NDVI values compared with none irrigated. On the other hand, implementation of 120 kg N ha−1 before sowing led to highest GY, especially under irrigated conditions (8.649 Mg ha−1). The overall mean GY under rainfed treatment was 6.256 Mg ha−1, while under irrigated treatment it increased by 37.2 % and reached 8.581 Mg ha−1 (p < 0.05). In conclusion, PrA technology will support farmers in making informed decisions regarding fertilization strategies and timing, which will in turn maximize yield and minimize risk.
Open Access: Yes
The best of two worlds: Multidisciplinary co-teaching of legal ethics
Publication Name: Hungarian Journal of Legal Studies
Publication Date: 2024-03-21
Volume: 64
Issue: 2
Page Range: 308-321
Description:
Hungarian legal education is rarely discussed from a pedagogic perspective, especially in English. This paper would like to fill a gap in the academic literature on this topic by presenting a unique multidisciplinary co-teaching initiative, aiming to mix 'the best of two worlds': developing a legal ethics course which is an amalgam of philosophical/theoretical and legal/practical elements. Describing how a compulsory Legal Ethics course was delivered at the István Széchenyi University of Gyor in a case study format, the main aim of the authors is to contribute to the international academic discourse on law school pedagogy in general, and on legal ethics education in particular. First, we provide an overview of professional ethics education in law schools, focusing on the origins of the course in the United States of America. Then, after a review of the academic literature on multidisciplinary co-teaching, the context of this Legal Ethics course is presented: the situation of legal ethics education in the Hungarian law curriculum. Then the course particulars, especially the content and the assessment, will be described in detail, based on the personal experiences and observations of the authors.
Open Access: Yes
Environmental Impact Analysis of Historic Buildings, Literature Review
Publication Name: Lecture Notes in Civil Engineering
Publication Date: 2026-01-01
Volume: 796 LNCE
Issue: Unknown
Page Range: 596-606
Description:
The research examined the environmental impact of listed and unlisted buildings from different periods. Compliance with strict standards encourages professionals and researchers to improve the environmental impact of buildings by examining the root causes of problems in more depth, which requires understanding and analysing the entire life cycle of buildings. People’s attitudes have changed, both in terms of raw materials and energy consumption. The article is a literature review of research published in recent years in the field of environmental impact assessment of historic (and in some cases younger) buildings. It analyses and summarizes the questions that researchers sought answers to, the methods they applied, the data and databases they used, the calculations they performed and the results they achieved. When collecting the analysed sources (research articles), the goal was to find sources presenting a large number of case studies. The case studies were classified according to geographical location; the historical age of the buildings and, in this context, the materials and structures used; the extent of the expansions, transformations and modernizations carried out. The literature review provides insight into the current state of science on how to quantify the value of historic buildings. Based on the experiences gained, it is also possible to formulate and conduct a domestic research. The article contributes to a deeper understanding of the calculation of the environmental impacts of historic buildings, which can help in compliance with legislation, energy and environmental requirements, and in the protection of existing buildings.
Open Access: Yes
Factors influencing algal photobiohydrogen production in algal-bacterial co-cultures
Publication Name: Algal Research
Publication Date: 2017-12-01
Volume: 28
Issue: Unknown
Page Range: 161-171
Description:
Algal-bacterial co-cultures represent an alternative way for algal biohydrogen generation. Efficient algal hydrogen production requires anaerobiosis and electrons accessible for the algal FeFe‑hydrogenases. A number of factors strongly influence the development of this optimal environment. Various algal strains were tested for hydrogen evolution with a selected bacterial partner, a fully hydrogenase deficient Escherichia coli. During the hunt for the most efficient algae strains, gas-to-liquid phase ratio, algal optical density and algal cell size were identified as crucial factors influencing algal hydrogen evolution rate, accumulated algal hydrogen yield, carbon dioxide and oxygen levels as well as acetic acid consumption in illuminated algal-bacterial cultures. The highest accumulated hydrogen yields were observed for the different algal partners under similar experimental setup. The combination of a gas-to-liquid phase ratio of 1/1 with an algae cell density of 3.96 ∗ 108 algae cell ml− 1 (OD750 : 1) resulted in the highest accumulated algal hydrogen yields under continuous illumination of ~ 50 μmol m− 2 s− 1 light at 25 °C irrespective of the applied algae strain. Accumulated hydrogen yield was also strongly influenced by the algal cell size, smaller cell size correlated with higher hydrogen evolution rate. The highest accumulated algal hydrogen yield (88.98 ± 2.19 ml H2 l− 1 d− 1) was obtained with Chlorella sp. MACC 360 -E. coli ΔhypF co-culture.
Open Access: Yes
