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Publications - 6374

Decreased Expression of Placental Proteins in Recurrent Pregnancy Loss: Functional Relevance and Diagnostic Value

Offer Erez Padma Murthi Nándor Gábor Than Dániel Györffy Lajos Veress Zoltán Papp Sándor Nagy Andrea Balogh László Orosz Eszter Tóth Gergő Orosz Máté Posta Orsolya Oravecz Nándor Ács Gábor Szalai András Szilágyi Olga Török Petronella Hupuczi

Publication Name: International Journal of Molecular Sciences

Publication Date: 2024-02-01

Volume: 25

Issue: 3

Page Range: Unknown

Description:

Miscarriages affect 50–70% of all conceptions and 15–20% of clinically recognized pregnancies. Recurrent pregnancy loss (RPL, ≥2 miscarriages) affects 1–5% of recognized pregnancies. Nevertheless, our knowledge about the etiologies and pathophysiology of RPL is incomplete, and thus, reliable diagnostic/preventive tools are not yet available. Here, we aimed to define the diagnostic value of three placental proteins for RPL: human chorionic gonadotropin free beta-subunit (free-β-hCG), pregnancy-associated plasma protein-A (PAPP-A), and placental growth factor (PlGF). Blood samples were collected from women with RPL (n = 14) and controls undergoing elective termination of pregnancy (n = 30) at the time of surgery. Maternal serum protein concentrations were measured by BRAHMS KRYPTOR Analyzer. Daily multiple of median (dMoM) values were calculated for gestational age-specific normalization. To obtain classifiers, logistic regression analysis was performed, and ROC curves were calculated. There were differences in changes of maternal serum protein concentrations with advancing healthy gestation. Between 6 and 13 weeks, women with RPL had lower concentrations and dMoMs of free β-hCG, PAPP-A, and PlGF than controls. PAPP-A dMoM had the best discriminative properties (AUC = 0.880). Between 9 and 13 weeks, discriminative properties of all protein dMoMs were excellent (free β-hCG: AUC = 0.975; PAPP-A: AUC = 0.998; PlGF: AUC = 0.924). In conclusion, free-β-hCG and PAPP-A are valuable biomarkers for RPL, especially between 9 and 13 weeks. Their decreased concentrations indicate the deterioration of placental functions, while lower PlGF levels indicate problems with placental angiogenesis after 9 weeks.

Open Access: Yes

DOI: 10.3390/ijms25031865

Synthesis of Integrated Vertical Farming Systems with Multiperiodic Resource Availability

Jean Pimentel Ferenc Friedler

Publication Name: Chemical Engineering Transactions

Publication Date: 2022-01-01

Volume: 94

Issue: Unknown

Page Range: 1039-1044

Description:

Vertical farming (VF) has been proposed as an approach to decrease the land required for growing agricultural products. This technique consists of growing produce in vertical orientation within a controlled environment. However, one of the most significant barriers for its implementation is the uncertain economic feasibility, derived from the elevated consumption of energy and the high investment costs. A strategy to enhance VF efficiency proposes its integration with municipal infrastructure, thus establishing closed-loop systems where VF seizes organic waste, manure, CO2, and excess energy from productive plants and local power stations. Because of the economic uncertainty of its development, the optimal synthesis of such a closed-loop system (i.e., the selection and specification of its components, and their connections) is of utmost importance for the implementation of this strategy. The difficulty of the synthesis task arises from the combinatorial nature of the problem and the variability of the resources and market conditions in time. This work employs a graph-theoretic approach for the synthesis of a closed-loop system of VF considering the variability of the resources during multiple periods of operation. The proposed method relies on the P-graph framework which permits the identification of the n-best alternatives for the system’s design, employing the properties of the problem’s structure to enhance the effectiveness of the solution procedure. Consequently, the most cost-effective systems are identified together with their policy of operation for the different periods. This method constitutes a powerful tool for the assessment of systems for VF integration that enhance the sustainability of agricultural activity.

Open Access: Yes

DOI: 10.3303/CET2294173

MORE THAN REPORTING: ENTERPRISE RESOURCE PLANNING AS ENABLER OF BUSINESS MODEL TRANSFORMATION FOR CLIMATE CHANGE MITIGATION

Yuriy Bilan Adalberto Rangone Liliana Ionescu-Feleagă Sînziana Maria Rîndaș

Publication Name: Journal of Business Economics and Management

Publication Date: 2026-03-20

Volume: 27

Issue: 2

Page Range: 262-284

Description:

Enterprise resource planning (ERP) systems are evolving to support organisations in addressing their climate impact. Yet, there is a paucity of empirical and cross-sectoral data on how these solutions can mitigate organisations’ negative climate impact through changes in business models. By focusing on a dataset of ERP-related patents published between 2020 and 2024, within a climate change classification, this study aims to shed light on how ERP-based solutions can enable business model transformation to improve environmental performance and to investigate Industry 4.0 technologies that facilitate such mitigations. Through a pragmatic inductive approach employing mixed methods, the study uncovers three main areas of business model transformation for climate change mitigation: production optimisation, sustainability management and monitoring, and supply chain performance improvement. While most of the examined patents prioritise production optimisation, the findings reveal the emergence of novel applications designed to enhance organisational sustainability management and monitoring. Furthermore, the research emphasises unexploited opportunities to enhance ERPs through the integration of Industry 4.0 technologies. This study provides a substantial contribution to the existing literature by focusing on a significant yet underexplored area: ERP-based solutions designed to enable business model transformation to mitigate climate change, with implications for researchers, organisational adopters, and system developers.

Open Access: Yes

DOI: 10.3846/jbem.2026.26451

On the other Side of Technology: Examining of Different Behavior Patterns with Artificial Intelligence

Bernadett Domokos Zoltán Baracskai

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2022-01-01

Volume: 19

Issue: 9

Page Range: 67-83

Description:

In this study, the initial problem is the capacity of the human mind to set up a conceptual model. The novelty of this article is that we show that defined concepts created by the human mind can be passed on to an artificial intelligence-based expert system. The expert system helps the human mind to settle the logical connections between the defined terms and the conceptual model thus the created model will be better than what man could have set up without an expert system. The appearance and role of employee turnover has become a more and more important factor in the daily business of corporate life. Scientific journals have examined the positive and negative effects of it, which has also provided useful knowledge for practitioners. These articles have examined the impact of employee turnover in countless aspects, but one aspect was the same in all literature: the impact of turnover on a company is not negligible and cannot be ignored in terms of neither material nor moral aspects. As a starting point for our research, we systematically reviewed the literature on employee turnover and selected six concepts that are bilaterally related to our phenomenon. Based on the terms and the correlation of it, we created a conceptual model that was examined with the help of an artificial intelligence-based system. To select a system, we reviewed the classifications of the artificial intelligence-based systems which can model human decision making and can help our research. Relying on the processing of the literature review articles, we selected and briefly characterized a rule-based reasoning system, and investigated the rule constellations of it, which can model the turnover cases as the topic of our study. Based on our experience in observing, consulting, and working with decision-makers, we examined the aspects of employee turnover phenomenon in the analysis and we constructed a three-level model that found logical relationships between each subcategory and was able to realistically reflect certain behavioral patterns of the physical workforce of a manufacturing company. The analysis was performed using a rule-based system, which used logical rules and found classical “if-then” connections in the employee behavior cases. According to our examination, our outcomes can provide credible results for further research activities as well as for practitioners.

Open Access: Yes

DOI: 10.12700/aph.19.9.2022.9.4

The role of community currencies in strengthening of local identity

Eszter Szemerédi

Publication Name: Civil Szemle

Publication Date: 2020-01-01

Volume: 17

Issue: 2

Page Range: 37-58

Description:

What kind of role could complementary and community currencies play in the strengthening of community cohesion and territorial identity? How can these systems help to reshape and re-evaluate local identity? Through answering these questions the study seeks to prove, that a functioning local community currency system can enhance cohesion among the local community members and can contribute to the strengthening of territorial identity, consequently to the success of a region. The study provides a literature review and references some international studies related to the topic, it also reviews Hungarian examples, highlighting the Rigac, the community currency of Alsómocsolád. The author analyses the documentation of Hungarian complementary currencies and the results from a survey of Rigac users. The results indicate that a complementary currency can strengthen and mobilize the network of local actors through the values it represents (local identity, institutionalization of cooperation, empowerment of the local community, etc.). It can serve as a staple that unites community members. If the system is successful, it can reinforce the sense of belonging and the pride it brings in its members. Based on research findings the study considers the alsómocsoládi Rigac as the most successful Hungarian example of strengthening the local community and local identity through a community currency system.

Open Access: Yes

DOI: DOI not available

A new assessment methodology for fair-faced concrete surfaces based on digital image processing

András Horváth Kitti Karolyfi F. Papp

Publication Name: Fib Symposium

Publication Date: 2020-01-01

Volume: Unknown

Issue: Unknown

Page Range: 288-295

Description:

Fair-faced concrete elements have become even more popular in architecture because of their pure aesthetics and favourable material properties. The europian standards and guidelines are usually specifying four classes regarding to the surface quality. However, the strandard assessment methodologies are based only on manual methods and they are very subjective in some cases. In order to increase the efficiency and accuary of the evaluation a new methodology is proposed using digital image processing. In this paper the basis of the evaluation method made by using the Python 3.6 software is presented by focusing on the surface void ratio which is one of the most common surface defects of fair-faced concrete structures.

Open Access: Yes

DOI: DOI not available

Carbon conundrums: Geopolitical clashes and market mayhem in the race for sustainability

Gagan Deep Sharma Mansi Gupta Mohammad Razib Hossain Amar Rao Jaya Singh Parihar Mansi Gupta

Publication Name: Journal of Environmental Management

Publication Date: 2024-01-15

Volume: 350

Issue: Unknown

Page Range: Unknown

Description:

This research presents an in-depth investigation into the dynamic correlation between geopolitical conflicts and carbon markets utilizing the Time-Varying Parameter Vector Autoregression (TVP-VAR) technique. The analysis focuses on the interconnectedness between the Geopolitical Risk Index Daily (GPRD) and vital carbon pricing instruments, specifically the Intercontinental Exchange Endex European Union Allowance (ECEFDC), KraneShares California Carbon Allowance Strat ETF (KCCAK), Shanghai Environment and Energy Exchange China Emission Allowances Online Transactions (SAXCEA), and S&P Global Ex-Japan LargeMidCap Carbon Efficient Index (SPGJ). The daily fluctuations were traced from May 2021 to July 2023. The analysis is divided into short- and long-term connectedness, with particular emphasis on the impact of the Russia-Ukraine conflict on the GPRD's spillover on carbon markets. The short-term connectedness (1–5 days) between GPRD and ECEFDC shows variability, fluctuating between 10% and 40%. Conversely, long-term connectedness exhibited a significant increase during the conflict, peaking at approximately 34% by mid-2022. The analysis of the Total Dynamic Connectedness (TCI) between the GPRD and the KCCAK indicates comparable magnitudes, although with minor initial discrepancies. The short-term connectedness of GPRD and KCCAK decreases from its peak of approximately 10% to approximately 1%. Conversely, long-term connectedness varies between approximately 32% and 2% from May 2022 onwards. The long-term connectedness between GPRD and SAXCEA revealed variable patterns, peaking at around 18% at the beginning of the sample period and rapidly reducing to around 1% within two months. The analysis of the connectedness between GPRD and the SPG) identifies intense fluctuations in both TCI and long-term connectedness. After an initial increase and decrease, these patterns rebound and experience another increase. This research provides significant insights into the complex dynamics of geopolitical conflicts and carbon markets, particularly the impact of the Russia-Ukraine conflict on carbon market behavior.

Open Access: Yes

DOI: 10.1016/j.jenvman.2023.119631

A regularized multi-level technique for solving potential problems by the method of fundamental solutions

Csaba Gáspár

Publication Name: Engineering Analysis with Boundary Elements

Publication Date: 2015-06-03

Volume: 57

Issue: Unknown

Page Range: 66-71

Description:

The method of fundamental solutions is investigated in the case when the source points are located along the boundary of the domain of the original problem and coincide with the collocation points. The appearing singularities are eliminated by several techniques: by using approximate but continuous fundamental solutions (regularization) and via auxiliary subproblems to avoid the stronger singularities that appear in the normal derivatives of the fundamental solution (desingularization). Both monopole and dipole formulations are investigated. A special iterative solution algorithm is presented, which converts the original (mixed) problem to a sequence of pure Dirichlet and pure Neumann subproblems. The pure subproblems can be handled efficiently by using conjugate gradients. The efficiency is significantly increased by embedding the resulting method in a natural multi-level context. At the same time, the problem of the use of highly ill-conditioned matrices is also avoided.

Open Access: Yes

DOI: 10.1016/j.enganabound.2014.05.002

A population based metaheuristic for traveling salesman type problems

Peter Foldesi Boldizsar Tuu-Szabo Laszlo T. Koczy

Publication Name: 2017 International Conference on Fuzzy Theory and Its Applications Ifuzzy 2017

Publication Date: 2017-03-09

Volume: 2017-November

Issue: Unknown

Page Range: 1-5

Description:

In this paper we present a metaheuristic method, called DBMEA. It combines the bacterial evolutionary algorithm with local search techniques. Based on our test results it can be used for solving efficiently more discrete optimization problems. The algorithm was tested on Traveling Salesman Problem and Traveling Repairman Problem (TRP) benchmark instances found in the literature. In the case of TSP the DBMEA algorithm produced optimal or near-optimal solutions for all tested instances. Although the most efficient TSP solver method, the Helsgaun's Lin-Kernighan heuristic was faster than DBMEA, but in the case of DBMEA the runtime was more predictable than it the case of other methods. In the case of TRP the results are competitive in terms of accuracy and runtimes with the state-of-the art methods. Except two instances our algorithm found the best-known solutions, and for the biggest tested instance it found new best solution. The runtime was on average 30% faster than the most efficient heuristic in the literature.

Open Access: Yes

DOI: 10.1109/iFUZZY.2017.8311797