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Publications - 6374

INDUSTRY 5.0 AS A HUMAN-CENTRIC DIRECTION FOR SOCIAL AND LABOR ENTITIES TRANSFORMATIONS

Leonid Melnyk Oleksandr Kubatko Lyudmila Kalinichenko Sándor Remsei

Publication Name: Problems and Perspectives in Management

Publication Date: 2025-01-01

Volume: 23

Issue: 4

Page Range: 290-300

Description:

The interaction of humans with artificial intelligence and cyber-physical systems opens the way to understanding the role of humans in modern industrial ecosystems. The research purpose is to examine the roles and functions of humans in implementing Industry 5.0 through the analysis of personality transformations in social and labor entities. A structured review methodology that synthesizes existing research on Industry 5.0 as a human-centric direction using systematic and transparent procedures (framing the question, identifying relevant publications in the Scopus database, summarizing the evidence, and interpreting the findings) is used. Within Industry 5.0, the physiological needs of a bio-human (needs for food, water, living conditions, etc.) and the technocratic interests of a labor-human (the desire to earn money, career growth, prestige, etc.) are overwhelmed in terms of time and effort by the socio-human personality needs (intellectual development, the realization of creative abilities, and obtaining knowledge). In complex technical tasks and strategic decision-making processes, humans continue to play a key role, emphasizing that full automation is not possible in all areas, and a human-centric approach remains the basis of production systems. Among the key personality skills needed for Industry 5.0 are analytical and creative thinking, the ability to design technology, critical thinking, ability to solve complex problems, leadership skills, emotional intelligence, and generating new ideas. Industry 5.0 promotes the consumption of mainly information and services dictated by the informational (spiritual) nature of the personality and relatively depresses the use of materials and services, dictated by the material nature of the human-bio.

Open Access: Yes

DOI: 10.21511/ppm.23(4).2025.21

Antioxidant and polyphenol content of different milk and dairy products

E. Lakatos V. Kapcsándi Székelyhidi Rita Beatrix Sik Henrietta Buzás Fanni Daróczi

Publication Name: Journal of King Saud University Science

Publication Date: 2023-10-01

Volume: 35

Issue: 7

Page Range: Unknown

Description:

The aim of the present study was to determine the antioxidant capacity and total polyphenol content of raw milk, dairy products (ricotta and cottage cheese), and by-products (sweet and acid whey) from different animal breeds (cow, goat). Overall, the total polyphenol content of raw milk ranged from 420.34 to 490.72 mg GAE/100 mL, while the total antioxidant content changed between 8.95 and 28.72 mg AAE/100 mL. These values in the case of cottage cheeses were 32.29–124.29 mg GAE/100 mL for polyphenols and 14.12–16.38 mg AAE/100 g for antioxidants. Significant differences were observed between the total polyphenol content and antioxidant properties of sweet- (10.85–197.55 mg AAE/100 g antioxidant; 32.29–124.29 mg GAE/100 g polyphenol) and acid whey (13.28–158.69 mg AAE/100 g antioxidant; 43.50–98.03 mg GAE/100 g polyphenol). In addition, slight differences in total polyphenol content (10.55–19.01 mg GAE/100 g) and antioxidant capacity (10.84–15.93 mg AAE/100 g) were observed for ricotta cheeses made from milk of different animal breeds. The results show that milk and dairy products are excellent sources of antioxidants and polyphenols.

Open Access: Yes

DOI: 10.1016/j.jksus.2023.102839

The role of customers' involvement in value co-creation behaviour is value co-creation the source of competitive advantage?

Ida Ercsey

Publication Name: Journal of Competitiveness

Publication Date: 2017-09-01

Volume: 9

Issue: 3

Page Range: 51-66

Description:

According to service dominant logic (SDL), customers are always active participants and collaborative partners in exchanges; therefore we should focus on the elements of consumer behaviour that are connected with the value co-creation. By involving the customers in service production, providers can capture customers' needs and maintain their competitiveness. The cutomers' roles may lead to a higher productivity and competitive quality for companies. Previous researches recognized two types of the customers' co-creation behaviour. First, it is the consumers' participation behaviour. Then, the other one is the consumers' citizenship behaviour. The goal of our study is to examine how the level of involvement influences two kinds of behaviour mentioned. Besides, we explore if respondents' participation behaviour or citizenship behaviour influence the perceived value of service provided. In 2015, for examination of our research questions, we carried out a quantitative research and applied quota sampling to obtain data from two target groups (X and Y generations). The activity and attitude of individuals related to performance of an extra-role in service interaction is less favourable than the required in-role behaviour. According to the results of our survey, the level of involvement influences the customers' mandatory behaviour and volunteer behaviour when working on a co-creation value. Empirically verifiable, the service users' activity in a value creation affects customers' value of the service.

Open Access: Yes

DOI: 10.7441/joc.2017.03.04

Interpolation in homogenous fuzzy signature rule bases

Ĺaszĺo T. Ḱoczy

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2017-08-23

Volume: 0

Issue: Unknown

Page Range: Unknown

Description:

Fuzzy signature sets (FSigSets) are extensions of the original fuzzy set concept, and also of the Vector Valued Fuzzy Set notion. In a FSigSet rule base the (input) universe of discourse X is mapped into a set of hierarchically grouped fuzzy sets, and each element of X has a 'membership degree' consisting of a rooted tree with membership degrees at each leaf and aggregations at the intermediate vertices. The structure of the tree is identical for each element in the case of homogenous FSigSets, and so are the aggregations, depending only on the position of the vertex. Interpolation in fuzzy rule bases allows the calculation of a conclusion in the output universe Y belonging to an observation even if there are gaps in the rule base and the observation does not intersect with any of the antecedent sets. The key question here is how to determine the degree of similarity, or inversely, the distance, of any observation from the surrounding antecedents of the rules in the base, so that the distance incorporates the information involved with the close connection of the features in the sub-groups, and the aggregations expressing the form of this connection. A solution is proposed, and a pair of numerical examples is presented.

Open Access: Yes

DOI: 10.1109/FUZZ-IEEE.2017.8015393

Increasing diagnostic accuracy by meta optimization of fuzzy rule bases

János Botzheim Mario Drobics Ĺaszĺo T. Ḱoczy

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2007-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In medicine the decision on which test to choose for a given decision problem is a delicate problem. On the one hand a positive test should be a reliable indicator on the presence of a disease, while on the other hand a negative test is required to be an indicator on the absence of a disease. Of course, these two goals are conflicting and a balanced decision according to the current situation is required. Inductive learning methods for (fuzzy) rule bases are, however, typically not capable of optimizing such complex and problem depending goal functions. We therefore present a meta-learning algorithm which selects a subset from a previously generated set of fuzzy rules using bacterial evolutionary algorithms. We also present a study where the proposed method is used to generate a model for predicting the presence/absence of hepatitis, based on laboratory results. © 2007 IEEE.

Open Access: Yes

DOI: 10.1109/FUZZY.2007.4295377

Management of “Modern” Holstein Cows Focusing on Sustainability and Resilience – Review of Recent Achievements

László Bognár Ferenc Szabó

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 169-174

Description:

Keeping Holstein cows requires a strategic approach that maximises milk production and promotes sustainability and resilience. As global demand for dairy products continues to grow, it is increasingly important to balance the development of the industry with environmental protection. Integrating genomics and targeted breeding strategies in dairy production can significantly improve sustainability and efficiency. Genomic selection uses deoxyribonucleic acid (DNA) markers and single nucleotide polymorphism (SNP) information to predict the genetic value of an animal, allowing breeders to select beneficial traits such as disease resistance, longevity, fertility, and feed efficiency. This not only increases productivity but also reduces environmental burden. Tailored breeding strategies can improve herd health and productivity and ultimately reduce the environmental footprint per unit of milk. Managing “modern” Holstein cows with a focus on sustainability and resilience means implementing practices that promote animal welfare, minimise environmental impacts, and ensure the long-term viability of the dairy farm. In the context of modern Holstein cows, the term modern refers to Holstein cows that have been selectively bred and managed using contemporary agricultural practices and scientific advancements. These practices include the application of genomics, precision breeding programs, advanced dairy cattle health care techniques, and updated herd management practices. Modern Holstein cows have been adapted and bred to meet the demands of today’s dairy industry, considering factors like economic milk production, disease resistance, and environmental sustainability. The outcome of integrating genomics-targeted breeding and feeding strategies in Holstein cow management aims to enhance sustainability, productivity, and animal welfare, which would result in a more efficient and environmentally responsible dairy industry.

Open Access: Yes

DOI: 10.3303/CET23107029

Fuzzy solution for non-linear quality models

János Botzheim Peter Foldesi Ĺaszĺo T. Ḱoczy

Publication Name: 12th International Conference on Intelligent Engineering Systems Proceedings Ines 2008

Publication Date: 2008-09-01

Volume: Unknown

Issue: Unknown

Page Range: 269-275

Description:

For designing and developing products/services it is vital to know the relevancy of the performance generated by each technical attribute and how they can increase customer satisfaction. Improving the parameters of technical attributes requires financial resources, and the budgets are generally limited. Thus the optimum target is to achieve maximum customer satisfaction within given financial limits. Kano's quality model classifies the relationships between customer satisfaction and attribute-level performance and indicates that some of the attributes have a non-linear relationship to satisfaction, rather power-function should be used. For the customers' subjective evaluation these relationships are not deterministic and are uncertain. This paper proposes a method for fuzzy extension of Kano's model and presents numerical examples that can prove the efficiency of bacterial evolutionary algorithm in as well. © 2008 IEEE.

Open Access: Yes

DOI: 10.1109/INES.2008.4481306

Mindset Patterns of Newcomers to Organic Farming in Hungary

Eniko Varga Zoltán Baracskai

Publication Name: European Countryside

Publication Date: 2021-03-01

Volume: 13

Issue: 1

Page Range: 38-55

Description:

Counterurbanization, rural in-migrant trend studies rarely focus on the individual decision-making process. This paper studies the mindset patterns and frames the decision to select organic farming as a next career. We aimed to deepen our understanding of the complex reasoning that motivatesnewcomers to choose organic farming on a personal level. Based on semi-structured interviews, we developed a questionnaire and collected data from the newcomer to organic farming community in Hungary. The responses were analyzed using: (1) factor analysis to assess the dimensionality of the factors and (2) knowledge-based expert system to identify the logical connections between the aspirations. Our conceptual model was developed based on if-then rules between the identified aspirations, which describe the mindset patterns of newcomers to organic farming.

Open Access: Yes

DOI: 10.2478/euco-2021-0003

Rutin in buckwheat grain meal determined by UV photoacoustic spectroscopy and HPLC

György Végvári Andrea Brunori Ottó Dóka Dane Bicanic Rezso Schmidt

Publication Name: Nova Biotechnologica Et Chimica

Publication Date: 2017-06-27

Volume: 16

Issue: 1

Page Range: 61-67

Description:

A relatively novel approach for easy and quick determination of rutin in buckwheat grain is suggested. The rutin content of the grain in seven common buckwheat (Fagopyrum esculentum) and six Tartary buckwheat (Fagopyrum tataricum) varieties was investigated by means of UV photoacoustic spectroscopy and HPLC as reference method. The lowest content was found in 'Botan' and 'Bamby' varieties, while the highest values were obtained in the variety 'Emka'. Rutin content in grain of all Tartary buckwheat varieties was two orders of magnitude higher than in the other varieties. Rutin content in F. esculentum ranges between 9 and 36 mg/100 g dry weight as compared to 921 to 2 132 mg/100 g dry weight in F. tataricum. The UV photoacoustic spectroscopy data show rather good correlations of R2=0.977 and R2=0.980 with values obtained by HPLC data for all measured samples. Therefore, UV photoacoustic spectroscopy can be a cheap and quick method for determining rutin content in buckwheat grain.

Open Access: Yes

DOI: 10.1515/nbec-2017-0009