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Authors - 9829
Vitalii S. Nitsenko
57224793856
Gergely Istvan Kuna
57969850600
Eszter Szabó-Bakos
58402454300
Daekook Kang
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Publications - 6383
Low-carbon agricultural practices enhance climate resilience and food security in India
Publication Name: Discover Sustainability
Publication Date: 2026-12-01
Volume: 7
Issue: 1
Page Range: Unknown
Description:
Low-carbon agricultural (LCA) practices, including nutrient, water, and soil management, present viable strategies for mitigating greenhouse gas (GHG) emissions while enhancing agricultural productivity. However, their long-term impacts on food security and emission reduction at the national scale require further investigation. This study employs scenario-based analysis to assess the role of LCA in reducing carbon dioxide, nitrous oxide, and methane emissions while evaluating its effects on food production, accessibility, and availability in India. By conceptualizing LCA as a baseline scenario, the study examines the influence of technology adoption, government policies, and sustainable agricultural practices in enhancing food security and mitigating climate change. A systematic literature review, following the PRISMA protocol, was conducted using keyword co-occurrence analysis from major global databases, including Scopus, ScienceDirect, Web of Science, and government and organizational sources. The findings indicate that efficient resource and nutrient management significantly strengthen food security while reducing annual GHG emissions, supporting India’s progress toward food self-sufficiency and climate resilience. These insights provide a foundation for strengthening national and global food policies and climate mitigation strategies, aligning with multiple Sustainable Development Goals (SDGs), including SDG 2 (Zero Hunger), SDG 6 (Clean Water and Sanitation), SDG 11 (Sustainable Cities and Communities), SDG 12 (Responsible Consumption and Production), SDG 13 (Climate Action), SDG 15 (Life on Land), and SDG 17 (Partnerships for the Goals). This study underscores the critical role of LCA in integrating food security with environmental sustainability, offering a policy-driven approach to climate adaptation and sustainable agricultural development in India.
Open Access: Yes
Sustainable Battery Recycling in the Age of Electromobility
Publication Name: Engineering Perspective
Publication Date: 2025-12-28
Volume: 5
Issue: Special Issue
Page Range: 18-27
Description:
The rapid spread of electric vehicles offers numerous opportunities to reduce greenhouse gas emissions, but also creates new and complex challenges for the automotive industry, particularly in terms of battery life cycle management. Electric cars are currently powered mostly by lithium-ion batteries, which rely on critical raw materials such as lithium, cobalt, nickel, and manganese. These resources are limited, and their extraction often involves energy-intensive and polluting mining processes that can have a serious impact on soil, water resources, and local communities. As demand for electric vehicles grows worldwide, so does the pressure on the sustainability of raw material supplies. The efficient recycling of batteries plays a key role in solving these problems. Recycling not only reduces the demand for primary raw materials, but also reduces waste and contributes to lowering the environmental footprint of electromobility. The study provides a comprehensive overview of the methods currently used to recycle electric vehicle batteries. The most common technologies include pyrometallurgical processes, which recover metals through high-temperature smelting, hydrometallurgical methods, which use chemical solutions to extract valuable materials, and direct recycling, which aims to reuse individual battery components directly. Each solution has its own advantages and limitations in terms of efficiency, cost, environmental safety, and industrial scalability. The study also pays special attention to new, innovative approaches. Automated dismantling technologies, for example, can make dismantling processes safer and faster, while reducing risks to human health. Finally, the regulatory environment and industry practices also play a key role in ensuring the long-term sustainability of battery recycling and the supply chain. The aim of the study is to contribute to the development of a circular automotive industry and to support the spread of sustainable battery management from both a technological and industrial perspective.
Open Access: Yes
Overstrength assessment of innovative metallic I-shaped damper
Publication Name: Steel and Composite Structures
Publication Date: 2026-03-25
Volume: 58
Issue: 6
Page Range: 719-737
Description:
This study investigates the overstrength factor (Ω of an innovative-shaped metallic shear damper designed for enhancing seismic resilience in concentrically braced frames (CBFs . To evaluate the influence of geometric variables-including web/flange thickness, damper height, and slenderness ratios (λw , λf , λℎ -a parametric study was conducted using 100 finite element models validated against experimental tests. The results demonstrate that all considered-shaped dampers exhibit Ω values exceeding 1.5, surpassing the A SC recommendations for shear links. t was found that while increasing web plate thickness significantly improves ultimate strength (up to 2.35 times, it tends to reduce Ω . Conversely, increasing flange thickness enhances both ultimate strength and Ω, challenging current guidelines that often neglect flange contributions. Specifically, within the flange slenderness range of 10 ≤ λf ≤ 15, the reduction rate of structural parameters is most significant. To ensure balanced seismic performance and economic efficiency, this study proposes designing dampers with a web slenderness ratio of λw ≤ 33 and a strength ratio of Ψ > 5.0. These findings offer uuantitative insights for refining design guidelines to accurately reflect the damper’s overstrength capacity.
Open Access: Yes
Induced and field mechanical effects on the hatchability of broiler breeder hatching eggs
Publication Name: European Poultry Science
Publication Date: 2024-01-01
Volume: 88
Issue: Unknown
Page Range: Unknown
Description:
Egg transport and rough egg handling can have numerous negative effects on hatchability. The authors monitored mechanical effects under field conditions by acceleration sensors and then simulated the same scale effects using a modelling machine to verify the effects on hatchability. To measure and record mechanical effects-instantaneous acceleration (m/s2), three-dimensional HOBO® Pendant® G Data Logger were used. The RSS, RSM values calculated from the data from the accelerometer can serve as a point of reference for practitioners to see the mechanical effect level which results in significant negative impact on the hatchability results. It was also revealed that the measurement of the recorded values in the different directions and the minimum and maximum values are important too. Using the HOBO® Pendant® G Data Logger and detailed logging (the exact location of the logger at the time of the technological steps at a given time) can reveal the location of the maximum impact. By analysing RMS x, y, z, the type of impact can be determined. By combining these two pieces of two information, the technological failure can be clearly revealed and corrected. The measurement process described by the authors provides practical advice for hatching egg producers. Moreover, attention is drawn to the short-term damage effect on hatchability, since the 5-minute treatment at 20 Hz, prior incubation significantly reduced the hatchability (P < 0.05), which was achieved at the level of 10.02 RSS m/s2 and 12.3 m/s2 maximum value in the direction of x-axis. It is important for hatching egg producers to be aware that the damage to the mechanical effect is not only visible (broken, cracked eggshell), but can also negatively affect hatchability and thus the profitability of the sector. Furthermore, the typical “spider web” crack on the eggshell clearly refers to the mechanical impact caused by vibration.
Open Access: Yes
DOI: 10.1399/eps.2024.397
Biharmonic Scattered Data Interpolation Based on the Method of Fundamental Solutions
Publication Name: Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
Publication Date: 2023-01-01
Volume: 14076 LNCS
Issue: Unknown
Page Range: 485-499
Description:
The two-dimensional scattered data interpolation problem is investigated. In contrast to the traditional Method of Radial Basis Functions, the interpolation problem is converted to a higher order (biharmonic or modified bi-Helmholtz) partial differential equation supplied with usual boundary conditions as well as pointwise interpolation conditions. To solve this fourth-order problem, the Method of Fundamental Solutions is used. The source points, which are needed in the method, are located partly in the exterior of the domain of the corresponding partial differential equation and partly in the interpolation points. This results in a linear system with possibly large and fully populated matrix. To make the computations more efficient, a localization technique is applied, which splits the original problem into a sequence of local problems. The system of local equations is solved in an iterative way, which mimics the classical overlapping Schwarz method. Thus, the problem of large and ill-conditioned matrices is completely avoided. The method is illustrated via a numerical example.
Open Access: Yes
MORE THAN REPORTING: ENTERPRISE RESOURCE PLANNING AS ENABLER OF BUSINESS MODEL TRANSFORMATION FOR CLIMATE CHANGE MITIGATION
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
Decreased Expression of Placental Proteins in Recurrent Pregnancy Loss: Functional Relevance and Diagnostic Value
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
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
On the other Side of Technology: Examining of Different Behavior Patterns with Artificial Intelligence
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
