Selye Janos University in Komarno - Selye Janos Egyetem  Univerzita J. Selyeho v Komarne
Recent publications
Rao algorithms that include three algorithms are very simple and parameter-less algorithms with effective and desirable performance. This paper modifies these three algorithms, merges them, and establishes a powerful group algorithm. In the first optimization step, the suggested algorithm is tested on 30 standard CEC2014 functions with 50 dimensions to compare it with main algorithms, several well-known algorithms, and modified versions of RAO algorithm. It becomes evident in the first test that the suggested optimizer is effective, and reliable for optimization of real-parameter functions, and it has shown its superiority to original RAO algorithm and several modern and modified versions of RAO algorithms for most of the test functions and achieved more acceptable results than them. Moreover, the suggested algorithm benefits a faster convergence characteristic than original RAO algorithms. The proposed Colonial Competitive RAO (CCRAO) has been applied on five popular engineering problems and its results have been compared with those of recent papers. According to the results, CCRAO is an effective, robust, and reliable optimizer for engineering design problems and can contain all useful features of RAO algorithms altogether. CCRAO has succeeded to converge to the best solution for these engineering problems and surpasses most of the other algorithms.
In this paper we study inequalities between weighted densities of sets of natural numbers corresponding to different weight functions. Depending on the asymptotic relation between the weight functions, we give sharp bounds for possible values of one density when the values of another density are given. In particular, we give a condition for two weight functions to generate equivalent weighted densities.
With the appearance of large-scale systems, the size of the generated logs increased rapidly. Almost every software produces such files. Log files contain runtime information of the software, as well as indicate noteworthy events or suspicious behaviors like errors. To understand and monitor the operation of the system, log files are a valuable source of information, which can be used to predict upcoming anomalies. In recent years numerous techniques have been proposed for this purpose. There are supervised models like SVM or decision trees and also unsupervised ones like Isolation Forest, Log Clustering, or PCA. There are also methods that use deep learning, like Autoencoder, CNN, LSTM, or Transformer. Many of the above-mentioned methods take advantage of template miners, that extract the event types from the unstructured data. In our paper, we propose a method that uses these templates to predict upcoming anomalies. We use 80% of our data for training, and 20% for tests. First, we use half of the train data and sort the templates that have an occurrence that is followed by an error to create a list of candidate templates. In the second step, we use the other half, to check how often the ten upcoming lines after a candidate template actually contain an anomaly. If a given percentage is reached, we consider the template as an indicator for upcoming anomalies. We conduct various experiments to verify the capability of our method like measuring the precision, recall, f-score accuracy, and speed on various data sources. The proposed method slightly falls behind SVM and CNN with an average of 88.06% precision, 90.43% recall, and 89.11% f-score, however, it has better accuracy with 98.19%. In addition, our algorithm is two times faster than SVM and three and a half times faster than CNN.
Our study examines the development of unemployment data from three strong Asian economies, China, Korea, and Japan. The focus is on the impact of the economic crisis caused by COVID-19, as well as an overview of the possible solutions to combat the impact of similar future crises on the labour market, in the hope of mitigating future economic dislocations. Following an overview of the region's economy and the pandemic, we use stochastic modelling of unemployment data of ten years prior to the pandemic, to estimate counterfactual future data without the pandemic. We then compare this estimate with real data during the pandemic. We did this in order to explore ideas and new solutions that could possibly be applied in Hungary, which is presently burdened by a very significant labour shortage.
Climate change, linked with an increase in temperature, contributes to the possibility growing of non-typical and lesser-known vegetable species in the Slovak Republic, including okra. Seven okra cultivars were tested as part of this study, which focused on the basic yield parameters, antioxidant activity and total polyphenol content in okra fruits. The statistical analysis of obtained results revealed significant differences in all monitored parameters of okra. The selection of “plastic” crop cultivars that can produce a steadier yield in each growing year is required due to the significant climate variations between growing seasons. In this regard, the okra cultivar ‘Baby Bubba’ can be recommended. The results also showed the high antioxidant activity and polyphenol content of okra pulp and seeds. Okra has a higher nutritional quality than other vegetable species frequently grown in the Slovak Republic. Okra cultivars ‘Burgundy’, ‘Pure Luck F1’ and ‘Jing Orange’ can be suggested from a nutritional perspective. Finally, it is possible to state that okra cultivars showed good yield potential and nutritional quality compared to the studies realized in countries in which okra is known and commonly used by the human population.
In the extremely competitive business environment typical of the 20th century, small and medium-sized enterprises have had to face countless challenges. As time progressed, digitization and the development of information and communication technology has had increasing impacts on the lives of both individuals and businesses. Now, from an organizational point of view, social media has become a corporate strategic tool the significant role of which is indisputable. The relevance of our study can be found in the fact that social media is now one of the most popular solutions if the goal of a business is to reach a specific target audience, to receive feedback about products/services, and to initiate the immediate communication that contributes to the loyalty of consumers and customers in the long term, as well as to take advantage of cost-effective advertising opportunities. The primary goal of our research is to provide the reader with a comprehensive picture of the thinking in the SME sector regarding the corporate application of social media. In our study, following a comprehensive literature review related to the topic, we use primary data collection to examine small and medium-sized enterprises operating in Hungary and Slovakia. The reason for choosing the subjects of the research is that, taking into account the territorial size of the regions under investigation, similar districts were selected, and the regions have similar numbers of businesses engaged in economic activity. The investigation process covers two regions in the two selected countries, examining a total of 1114 enterprises. Before starting our research, two hypotheses were defined. In order to test the correctness of the hypotheses, we performed statistical analyses using the SPSS program, specifically the Mantel–Haenszel test and the chi-square test. Considering the results, the hypotheses formulated by the authors proved to be correct in the case of both countries. As a result, it can be stated that the success of traditional marketing tools used before the online space greatly influences the extent to which businesses feel their presence in social media is important.
The future of networking will be driven by the current emerging trends of combining the physical and virtual realities in cyberspace. Considering the ambient pandemic challenges, the role of virtual and augmented reality will definitely grow over time by transforming into the paradigm of the Metaverse of Things, where each person, thing or other entity will simultaneously exist within multiple synchronized realities. In this paper, we propose a novel framework for future metaverse applications composed of multiple synchronized data flows from multiple operators through multiple wearable devices and with different quality requirements. A new service quality model is proposed based on a customizable utility function for each individual data flow. The proposed approach is based on dynamic fine-grained data flow allocation and service selection using non-fungible tokens, which can be traded over the blockchain among users and operators in a decentralized mobile network environment.
Social media has allowed anybody to share their opinions and engage with the general public, but it has also become a platform for harsh language, cruel conduct, personal assaults, and cyberbullying. However, determining whether a comment or a post is violent or not remains difficult and time-consuming, and most social media businesses are always seeking better ways to do so. This may be automated to assist in detecting nasty comments, promote user safety, preserve websites, and enhance online dialogue. The toxic comment dataset is utilized in this research to train a deep learning model that categorizes comments into the following categories: severe toxic, toxic, threat, obscene, insult, and identity hatred. To categorize comments, and use a bidirectional long short-term memory cell (Bi-LSTM).
For years, sustainability has been on the minds of professionals, organisational leaders and everyone involved in everyday life. There has been a lot of research on different areas and processes of corporate operations, and more and more initiatives are emerging to address nature conservation, environmental protection and climate change issues. However, little research addresses the potential for sustainability of organisational knowledge, a factor that fundamentally influences the functioning of organisations. Beyond the steps of the knowledge management process, organisational culture, working conditions, the organisational environment and the organisational leadership that manages them are also at the forefront. The aim of this study is to highlight the supporting role of sustainable management for the sustainability of knowledge and to show the context of further supporting conditions. Previous research has identified sustainable management as an alternative management style that can significantly change organisations and society by deepening understanding of natural and economic systems and their interdependencies. Accordingly, it ensures market performance in a holistic approach based on the concept of sustainable knowledge and with a view to the efficient use of the company’s internal resources. The cornerstones of these interrelationships and the conditions of the relationships are presented here in a theoretical approach.
Since ancient times, sea buckthorn (Hyppophae rhamnoides) (SBT) has been utilized as a medical plant for its ability to extract health-promoting compounds from its fruits, seeds, pulp, skin, bark, roots, and leaves. L-ascorbic acid is primarily found in fruits, and because of this, it can be utilized as a fortification agent to enhance other juices. The study’s goal was to look into how the L-ascorbic acid and selected nutritional parameters in common sea buckthorn juice changed over the period of storage and different thermal treatments. The L-ascorbic acid stability in the processed juice in both used varieties (“Hergo” and “Leikora”) was ensured by the processing technology with a modified vat (or batch) (low-temperature long-time pasteurization) process. Even after being sterilized at 120 °C for 15 min, the amount of L-ascorbic acid in the processed sea buckthorn juice in both varieties was unaffected and ranged between 1762 and 2058 mg/kg. There was no change in the pH level at the same time; it stayed extremely low (about 2.3), which may have helped the L-ascorbic acid to stabilize. The sterilized juice variant in both varieties had the highest levels of glucose, fructose, total sugar, malic acid, total acid, and total soluble solids (TSS), which were significantly higher than in fresh juice or in either variant after pasteurization. Given this, we advise processing the SBT berries immediately after harvest using thermal processing to prevent ascorbic acid (AA) loss, or storing them under frost conditions until processing.
Number theory is an area of mathematics not unknown to students majoring in mathematics teaching. As early as in junior high, they may encounter basic number theory concepts such as prime numbers, multiples, divisors, or even the fundamental theorem of arithmetic—the proof of which, however, will only be included in the university curriculum of mathematics teacher students. When teaching number theory, in addition to inspiring and motivating students, it is important to have them ask the right questions. Proofs are important, but so is the proper formulation of mathematical conjectures, not to mention intuitions regarding mathematical properties and relationships. These processes are facilitated by the software used, developed to visualize functions related to number theory. Our study aims to assess the relevance of visualization in the teaching and understanding of certain arithmetic functions among mathematics teacher students. Furthermore, we aim to investigate the practical usability of our visualization software, relying on student feedback. According to our results, students found the software useful, as it helped them to discover previously unknown relationships in the examined arithmetic functions. We may conclude our software fills a niche, with student feedback indicating its usefulness.
The main aim of the study is to investigate the growth of oyster mushrooms in two substrates, namely straw and wheat straw. In the following, the study moves towards modeling and optimization of the production yield by considering the energy consumption, water consumption, total income and environmental impacts as the dependent variables. Accordingly, life cycle assessment (LCA) platform was developed for achieving the environmental impacts of the studied scenarios. The next step developed an ANN-based model for the prediction of dependent variables. Finally, optimization was performed using response surface methodology (RSM) by fitting quadratic equations for generating the required factors. According to the results, the optimum condition for the production of OM from waste paper can be found in the paper portion range of 20% and the wheat straw range of 80% with a production yield of about 4.5 kg and a higher net income of 16.54 $ in the presence of the lower energy and water consumption by about 361.5 kWh and 29.53 kg, respectively. The optimum condition delivers lower environmental impacts on Human Health, Ecosystem Quality, Climate change, and Resources by about 5.64 DALY, 8.18 PDF*m2*yr, 89.77 g CO2 eq and 1707.05 kJ, respectively. It can be concluded that, sustainable production of OM can be achieved in line with the policy used to produce alternative food source from waste management techniques.
In our paper, we aim to give an overview about the emergence and evolvement of the history of education in Hungary. Nevertheless, we intend to surpass the traditional approach of giving a schematic description of these processes as we would like to depict the interconnectedness of the Hungarian history of education with the European research tendencies and the thematic variety of the Hungarian research activities. We used literature analysis, historical source analysis and descriptive statistical analysis as primary methods. Within Hungary, we pay special attention to the University of Budapest but we also reflect special peculiarities regarding the other full universities in the country. The Hungarian history of education followed the pathway of the German-speaking countries regarding the approach and the function until 1948. History of education had a self-legitimising role in the emerging national education system and modernised university environment; however, this characteristic feature did not exclude the incorporation of international research approaches. This function was slightly altered in the interwar period since leading researchers of the subfield contributed to maintaining the ideological coherence of the political structure. During the socialist period, researchers were expected to follow the directives of their Soviet colleagues; however, in the 1970s the homogeneity in themes and research approaches began loosening. As the result of the political regime change in 1989/1990, Hungarian research was given an opportunity to be integrated into the European exchange of ideas and implement research approaches prevalent in Western countries.
The present work shows the possibility of using the GC-MS method for the qualitative and quantitative determination of major capsaicinoids in ground chillies, chilli sauces and in potato chips with chilli flavouring, which is competitive with already published LC methods. Treatment of samples before GC-MS analysis takes only 30 minutes. The new method does not require the use of large amounts of organic solvents for extraction or any purification step, as the treatment consists only direct derivatization of major capsaicinoids with hexamethyldisilazane. The new method was validated with a linear calibration range of 0.025 – 810 µg mL⁻¹ for capsaicin-trimethylsilyl (TMS) and 0.04 – 440 µg mL⁻¹ for dihydrocapsaicin-TMS. The derivatization efficiency, i.e. the conversion of capsaicin and dihydrocapsaicin to TMS derivatives is 100% after 30 minutes of reaction. With the newly developed method, we achieved a good recovery of capsaicin and dihydrocapsaicin in selected ground chilli peppers, chili sauces and potato chips. In the 25 analyzed samples, the capsaicin content was in the range 0.00014% – 9.86% and the dihydrocapsaicin content 0.00022% – 3.45%, respectively. The suitability of the developed method was confirmed by the agreement of achieved data with that obtained using standard AOAC method in the range less than 5%. Additionally, this method allows the analysis of samples with a high content of lipid components, sugars, salt or water, which do not interfere with the analysis.
The present study focused on the development, optimization, and performance evaluation of a harvesting robot for heavyweight agricultural products. The main objective of developing this system is to improve the harvesting process of the mentioned crops. The pumpkin was selected as a heavyweight target crop for this study. The main components of the robot consist of mobile platforms (the main robot tractor and a parallel robot tractor), a manipulation system and its end-effector, and an integrated control unit. The development procedure was divided into four stages: stage I (designed system using Solidworks), stage II (installation of the developed system on a temporary platform), stage III (developed system on an RT-1 (Yanmar EG453)), and stage IV (developed system on an RT-2 (Yanmar YT5113)). Various indicators related to the performance of the robot were evaluated. The accuracy of 5.8 and 4.78 mm in x and y directions and repeatability of 5.11 mm were observed. The harvesting success rate of 87~92%, and damage rate of 5% resulted in the evaluation of the final version. The average cycle time was 35.1 s, 42.6 s, and 43.2 s for stages II, III, and IV, respectively. The performance evaluations showed that the system’s indicators are good enough to harvest big-sized and heavy-weighted crops. Development of the unique and unified system, including a mobile platform, a manipulation system, an end-effector, and an integrated algorithm, completed the targeted harvesting process appropriately. The system can increase the speed and improve the harvesting process because it can work all day long, has a precise robotic manipulation and end-effector, and a programmable controlling system that can work autonomously.
This study seeks to explore the origin and formation of the so called “Hungarian traditional” theology within the Reformed Church of Hungary from the 1840s till the 1860s. The research paper also throws light on how the new orthodoxy movement of Debrecen grew out of this trend from the 1870s which had an enormous impact on the Protestant theological landscape of Hungary, the largest Protestant community in Central Europe. Hungarian new orthodoxy precedes both the orthodoxy developed by Kuyper and the Barthian neoortodoxy which is a much later theological trend. It also points out that Western European Protestant theological trends did have a great impact on the Hungarian theological context. This work aims to demonstrate how the doctrinal views of Hungarian traditional theology were developed through the works and life of selected influential leaders like Imre Révész senior, Lajos Filó, József Heiszler while debating with liberal theology. Reference will be made to the foreign impact of conservative theologies represented by evangelical, Pietist and mediating theologies of Germany, the Netherlands, Switzerland and Britain. The doctrinal debates appeared in contemporary journals. Analysing the texts, it is possible to delineate what the stance of traditional theology was about: inspiration of the Scripture, the uniqueness of Revelation, the doctrine of original sin, the necessity of atonement, deity of Jesus Christ, the confession of Trinity, faith in the last judgement and Christ’s second return and the reality of miracles.
Celiac disease (CD) is a disorder that affects both children and adults. Over the few last decades, several new atypical cases have been identified through improved diagnostic tools. On the other hand, the onset of CD at a later age, including atypical CD forms whose clinical picture overlaps with other autoimmune diseases, shows that currently there are several unknown gene mutations, which could be responsible for the disease development. Non-celiac gluten sensitivity (NCGS) is entity included by the ingestion of gluten leading to intestinal, or extraintestinal symptoms that improve once the gluten is removed from the nutrition. In this article relationships between genetically modified rodent animals with previously unknown multiple organ changes and CD, respectively NCGS are reviewed. Relationships between the small bowel histological changes and other organs pathology are discussed. Results of research document that changes have similar genetic background and can develop to serious autoimmune systematic diseases, including small bowel inflammation resembling atypical CD or NCGS. These may have extra-intestinal symptomatology but without a clear explanation of causes and differences in their manifestations. Research on animal models helps to discover links between several disorders associated with gastrointestinal damage. New methods based on individual gene mutations can help in atypical adult CD and NCGS recognitions in the future.
The goal of the current study was to evaluate the action of the green tea plant (Camellia sinensis, L) on male rabbit reproduction and some non-reproductive indexes. Male rabbits were fed either a standard diet (control group) or a diet enriched with green tea powder (experimental groups; E): 5 g (E1) or 20 g (E2) per 100 kg of the milled complete feed mixture. Weight gain, sperm concentration, total and progressive motility, as well as haematological, and biochemical parameters and changes in testicular tissue histomorphology were evaluated. Feeding with green tea, at both tested concentrations, decreased weight gain per week and the total average weight gain compared to the control group (p < 0.05). Furthermore, green tea decreased sperm concentration, motility and progressive motility in the group fed with a lower dose (5 g) of green tea powder (p < 0.05), whilst a higher dose (20 g) was neutral. Some haematological and biochemical indexes, like medium-size cell count (MID), mean corpuscular haemoglobin concentration (MCHC), platelet percentage (PCT), levels of phosphorus (P) and total proteins (TP) were decreased in one or both experimental groups (p < 0.05), whilst the triglyceride level (TG) was increased in the E2 group (p < 0.05). The thicknesses of the testicular seminiferous tubules and epithelial layer were not affected by any concentration of green tea powder (p > 0.05). These observations suggest that green tea in the diet may have an adverse effect on rabbit growth and sperm quality, but their effect may be potentially dose-dependent.
Early diagnosis, prioritization, screening, clustering, and tracking of patients with COVID-19, and production of drugs and vaccines are some of the applications that have made it necessary to use a new style of technology to involve, manage, and deal with this epidemic. Strategies backed by artificial intelligence (A.I.) and the Internet of Things (IoT) have been undeniably effective to understand how the virus works and prevent it from spreading. Accordingly, the main aim of this survey is to critically review the ML, IoT, and the integration of IoT and ML-based techniques in the applications related to COVID-19, from the diagnosis of the disease to the prediction of its outbreak. According to the main findings, IoT provided a prompt and efficient approach to tracking the disease spread. On the other hand, most of the studies developed by ML-based techniques aimed at the detection and handling of challenges associated with the COVID-19 pandemic. Among different approaches, Convolutional Neural Network (CNN), Support Vector Machine, Genetic CNN, and pre-trained CNN, followed by ResNet have demonstrated the best performances compared to other methods.
The task of higher education is twofold: (1) to prepare students to meet the expectations of the labor market and (2) to create a learning environment and conditions so that as many students can meet the subject requirements as possible, the dropout rate should be the lowest possible. Input and continuous monitoring of students' transversal competencies can be a suitable method to meet this dual requirement. The range of these competencies is very diverse. In our present study, we focused on inductive thinking, which plays an important role in problem-solving. The research involved 212 first-grade BSc technical students. Our measurement tool is widely used in the selection of the workforce, which the students had to fill in online. The gained results were evaluated using IBM SPSS Statistics. The analysis included a comparison of inductive thinking and its two subcomponents, abstract reasoning, and diagrammatic cognition, in terms of background variables, as well as time consumption, and the definition of specific performance. We found a functional relationship between time consumption and the performance achieved in the test. Students have advanced analogical cognition in terms of abstract thinking; however, their diagrammatic thinking shows very different levels of development, which can cause difficulties in solving technical problems.
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127 members
József Poór
  • Department of Management
Róbert Gyepes
  • Dept. of Chemistry
Ondrej Hegedűs
  • Department of Management
Ferenc Tömösközi
  • Reformed Theological Faculty
Tibor Zsigmond
  • Department of Management
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