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Critical Digital Data Enabling Traceability for Smart Honey Value Chains
No full textAydin, Sahin/0000-0001-7355-5339; Karmanska, Anna/0000-0001-5883-1243; Aydin, Mehmet/0000-0002-3995-6566; Maruszewska, Ewa Wanda/0000-0003-0461-4133; Ziemba, Ewa Wanda/0000-0002-1084-7497Data analysis and sharing are becoming increasingly important in creating value within food supply chains, including honey value chains. While some data is readily shared between supply chain actors, unlocking further benefits requires additional investments in digital data capturing, particularly for value-based claims such as sustainability, equity, and traceability from hives to customers. This study aims to identify critical digital data necessary for smart honey value chains to ensure traceability and transparency while fostering trust among beekeepers, intermediaries, and consumers. Semi-structured interviews with 30 beekeeping experts were conducted to explore their perspectives. The analysis identified four critical categories of data-beekeeper data, apiary data, honey data, and apiary practices data-encompassing 21 specific data points essential for ensuring transparency, traceability, and trust. These findings provide novel insights into the digital data requirements necessary to support the honey industry's evolving needs for transparent and traceable value chains.National Centre for Research and Development in Poland; Sustainable Open Platform for Smart Honey Value ChainsThis research was conducted under the project TOP4Honey Chains: Trustable and Sustainable Open Platform for Smart Honey Value Chains.Science Citation Index Expande
Deviation From the Balanced Time Perspective and Depression and Anxiety Symptoms: the Mediating Roles of Cognitive-Behavioral Emotion Regulation in a Cross-Cultural Model
No full textAbdollahpour Ranjbar, Hamed/0000-0002-2923-5829; Habibi Asgarabad, Mojtaba/0000-0002-5011-2823Background Time perspective (TP) influences how individuals perceive and classify their past, present, and future, impacting their cognition, behavior, and psychological outcomes. Deviation from the balanced time perspective (DBTP) is associated with mental health problems (e.g., depression and anxiety). Emotion regulation (ER) encompasses cognitive and behavioral processes to regulate emotions, with maladaptive strategies like rumination and withdrawal linked to depression and anxiety. Despite extensive research on TP and ER, their joint impact, particularly in the context of depression and anxiety, and cultural differences remain underexplored.Method Participants (N = 513 Iranian, N = 470 Turkish) completed self-report questionnaires on time perspective, cognitive and behavioral ER, anxiety, and depression symptoms. A moderated mediation model was assessed, incorporating the exogenous variable of DBTP, with ER strategies as mediators, and endogenous variables of depressive and anxiety symptoms. The model accounted for cultural variations in the paths as a moderator.Results Significant associations were found between DBTP, ER strategies, depression, and anxiety symptoms. Mediation analyses revealed that both cognitive and behavioral ER strategies (except for adaptive behavioral ER strategies) significantly mediated the associations between DBTP and depression and anxiety. Additionally, multigroup analyses suggested that these mediating effects were consistent across Iranian and Turkish samples, with exceptions in adaptive cognitive ER strategies.Conclusion The study highlights the crucial role of TPs and ER strategies in predicting anxiety and depression symptoms, with notable cultural nuances. Specifically, maladaptive strategies exacerbate symptoms, while adaptive strategies mitigate them primarily in Iranian contexts. Cultural subtleties are discussed in detail.The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.Science Citation Index Expanded - Social Science Citation Inde
Probabilistic Assessment of Vehicle-to-Grid Power of Electric Vehicle Parking Lots: A New Comprehensive Approach
No full textThe increasing market share and parking occupancy of electric vehicles have increased the charging stations in parking lots (PLs) and motivated the research to provide proper management strategies. Although there have been several efforts to assess, schedule, and model the load of fast electric vehicle charging stations (FEVCSs), they are inappropriate for charging stations in EVPLs. This paper proposes a novel comprehensive probabilistic approach to calculate the parking lot power and energy for battery and hybrid electric vehicles. At first, a decision is made for the operation mode of an EV arriving at the PL, using an algorithm considering ten influential random variables. Then, the aggregated parking lot power and energy are determined using Monte Carlo simulations. Finally, the Gaussian Mixture Model is used to estimate the parameters of the output probability density functions, where the maximum likelihood estimation is employed to find model components. The proposed approach is applied to a sample parking lot, and its performance is demonstrated by comparing it to a base case study and one of the pioneering techniques introduced in the literature. Finally, a thorough sensitivity analysis is applied to assess the robustness of the outputs under different scenarios. The results demonstrate the superiority of the proposed method compared to the available studies.Scientific and Technological Research Council of Turkiye (TUBITAK) [1059B212200475]This work was supported by the BIDEB 2221 Program organized by The Scientific and Technological Research Council of Turkiye (TUBITAK) under Grant 1059B212200475.Science Citation Index Expande
A New Nano-Scale Authentication Architecture for Improving the Security of Human-Computer Interaction Systems Based on Quantum Computing
No full textHuman-Computer Interaction (HCI) is an interdisciplinary area of study focusing on the interaction of users and computers by scheming interactive computer interfaces. In addition, HCI systems need security to confirm user authentication, which is a crucial issue in these systems. Hence, user authentication is vital, allowing only authorized users to access data. Authentication is critical to the digital world since it provides security and safety for digital data. Moreover, a digital signature is an authentication method to confirm the accuracy and reliability of digital documents or communications. In addition, designing the circuit based on the complementary metal-oxide semiconductor (CMOS) technology can affect the security and safety of digital data due to the excessive heat dissipation of circuits. On the other hand, quantum-dot cellular automata (QCA) and reversible logic as alternative technologies to CMOS address these problems. Since QCA and reversible logic circuits have minimal energy dissipation, which is considered nearly zero, approaching these technologies proves extremely difficult for any hacker. This work presents an effective structure for the authenticator and human-computer interaction using QCA and IBM quantum computing with Qiskit simulations. The proposed structure has outperformed current circuits in terms of area, cell count, and latency. The paper demonstrates the QCA reversible logic layout of the proposed HCI authenticator and integrates IBM quantum computing simulations using Qiskit for validation. The implementation and testing of results are performed utilizing QCADesigner-2.0.3 and Qiskit simulation tools. The accuracy and efficiency of the proposed design are validated through simulation-derived comparison values, and energy dissipation simulations prove that the suggested circuit dissipates minimal energy. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.Science Citation Index Expande
Solar Energy-Powered Wireless Charging System for Three-Wheeled E-Scooter Applications
No full textWireless power transfer (WPT) is a remarkable charging technology that addresses the range limitations and complexity of light electric vehicles. This study presents a novel approach to a solar-powered WPT system designed for three-wheeled e-scooter applications. The proposed system offers compact, lightweight, and costeffective solution with a ferrite-less structure and a series-series (SS) compensation topology, resulting in enhanced system efficiency and adaptability. The compact and efficient converters are designed to enhance performance and reduce system size. A Proportional-Integral (PI) controlled Perturb and Observe (P&O) maximum power point tracking (MPPT) method is implemented to optimize energy extraction from three solar panels. The design is validated through comprehensive simulations and demonstrates a superior dynamic response over the Incremental Conductance MPPT (ICM) method. Performance tests confirm the reliability of the experimental prototype, achieving a system efficiency of 88.5 % at 300-W output power over a 100 mm transfer distance under fully aligned condition. Comparative analyses with existing solar-powered e-cycle systems highlight the proposed design's superiority in efficiency, cost-effectiveness, and adherence to safety standards. The results indicate that the proposed design enhances sustainable urban transportation by reducing carbon emissions and decreasing reliance on fossil fuels, facilitating the wider integration of renewable energy sources.Science Citation Index Expande
Investigation of the Potential Effect of Complement 5 on Transplantation Outcome by Bioinformatics Tools
No full textIntroduction. Activation of the complement system following transplantation may result in allograft rejection. Our study aimed to evaluate the potential relationship between factors affecting kidney transplant success and complement 5 (C5) using bioinformatic tools. Methods. GenCards and Genemania were used to provide the genetic functional information belonging to the C5 gene, and genomic browsers of STRING, UCSC, KEGG were used to reveal interactions with other genes and various pathways. MiRDB was used to specify the miRNAs that were associated with the C5 gene. The UniProt database was used to determine the tissues that expressed the C5 gene using protein-protein interactions. Results. In the bioinformatic analyses performed, high levels of C5 gene expression were found in the naiive kidney. Twenty-five genes were found to be strongly associated with C5. Fifty-four miRNAs targeting the C5 gene were specified. The C5 gene was found to be involved in biologic processes such as complement activation (FDR = 6.46e-22), complement binding (FDR = 2.20e-06), cytolysis (FDR = 4.82e-14), regulation of complement activation (FDR = 4.08e24), positive regulation of vascular endothelial growth factor production (FDR = 0.0430), regulation of macrophage chemotaxis (FDR = 0.0447), activation of the immune response (FDR = 1.26e13), leukocyte-mediated immunity (FDR = 1.41e-09), innate immune response (FDR = 3.05e-09), allograft rejection (FDR = 2.40e-12), oxidative injury response (FDR = 0.00016), and trigerring of the beginning of the complement cascade (FDR = 0.0244). Conclusions. The data obtained in this study will be used to guide future experimental investigations in the field of transplantation, and these data will give physicians with insight into allograft status following transplantation.Science Citation Index Expande
A New Piece in the Puzzle: Corruption and Financial Constraints—Evidence From European Firms
No full textThis study explores how country-level corruption affects firm-level financial constraints. We use a sample of 21 European countries from 2002 to 2022 comprising 22,974 firm-year observations. We find that corruption increases financial constraints. In other words, as countries become more transparent, firms face fewer financial constraints. Our findings are robust when we employ alternative definitions of corruption, financial constraints, alternative subsamples, additional firm-level control variables, and different econometric methodologies. As a further analysis, we provide novel evidence that an increase in country-level transparency decreases financial constraints only for firms with lower information asymmetry, higher institutional ownership, or higher foreign ownership. Finally, this effect is stronger for firms with lower ESG performance and firms without bribery corruption or fraud controversies. Our paper contributes to the literature by employing country-level corruption indices as a macroeconomic determinant of firm-level financial constraints for firms in developed countries and by investigating how different firm-level factors moderate the association between country-level corruption and firm-level financial constraints. © 2025 John Wiley & Sons Ltd.Fundação para a Ciência e a Tecnologia, FCT; Spanish Ministry of Science, Innovation and Universities of Spain, (MCIN/AEI/10.13039/501100011033, PID2023‐152671OB‐I00)Social Science Citation Inde
Promoting Sustainable Urban Mobility: an Integrated Fuzzy Decision-Making Model for Assessing Autonomous Bus Alternatives
No full textPamucar, Dragan/0000-0001-8522-1942;Today, in addition to the increasing pressures on urban transportation authorities to achieve sustainability goals, it has become necessary to comprehensively evaluate innovative transportation technologies such as autonomous (driverless) buses due to the increasing demand for public transportation applications that will contribute to making urban transportation more sustainable with its environmental, social, economic and social dimensions. In addition, the reservations and hesitations of decision-makers about integrating autonomous buses into urban transportation systems have not been eliminated. These hesitations and reservations are mainly due to critical research, theoretical gaps, and limitations in practice. Considering these gaps, this study presents an innovative model that integrates the fuzzy logarithm methodology of additive weights (LMAW) method and the fuzzy Dombi Bonferroni (DOBI) method to evaluate and rank 20 different autonomous bus alternatives with 33 sustainability criteria. The proposed integrated decision-making procedure can effectively manage complex uncertainties while examining whether autonomous bus alternatives can be integrated into urban transportation systems based on sustainability, considering four-dimensional sustainability criteria. This finding indicates that urban transportation's user-oriented and reliable nature is critical to achieving sustainability goals. In addition, the Proterra Catalyst (A9) is the autonomous bus with the highest sustainability performance for use in urban transport, followed by the Mercedes-Benz Future Bus (A18) and Mercedes-Benz eCitaro (A8). These results regarding alternatives underline the importance of advances in autonomous vehicle technology and making these vehicles more sustainable in evaluation processes.Science Citation Index Expande
Effects of Pre- and Post-Displacement Difficulties on Parenting Behaviors of Refugee Fathers
No full textAdverse effects of war trauma and post-displacement difficulties on refugee families are well-documented in the previous literature, however, there is considerably less research with refugee fathers focusing on different types of stressors. The current study tested a multiple linkage model between war trauma, different post-displacement difficulties, paternal mental health and parenting behaviors. Data was collected from 286 Syrian refugee fathers who have fled from Syria and resettled in Turkey with their children between 2 to 5 years. Using path analysis we examined the associations between pre-displacement war trauma, post-displacement difficulties and perceived discrimination, and fathers’ depression, anxiety, and PTSD levels in addition to the punishment and warmth toward their children. Consistent with prior research, results showed that war trauma exposure negatively predicted different post-displacement stressors. In turn, displacement stressors negatively predicted paternal mental health indicators such as depression, anxiety and PTSD. Indirect effects showed that war-trauma has a negative impact on parenting of Syrian refugee fathers through different paths. Results suggested that both post-displacement stressor and discrimination significantly predicts the mental health outcomes and punishment and warmth of fathers and are important risk factors to address within policies and practices regarding refugee parents. © The Author(s) 2025.Society for Research in Child Development, SRCDSocial Science Citation Inde
Securing and Optimizing Iot Offloading With Blockchain and Deep Reinforcement Learning in Multi-User Environments
No full textHeidari, Arash/0000-0003-4279-8551The growth of the Internet of Things (IoT)-related innovations has resulted in the invention of numerous IoT objects. However, the resource limitations of individual items remain a challenge that can be overcome through offloading. A key limitation of previous research is the absence of an integrated offloading framework that can operate securely in offline/online environments. The security and calculated online/offline offloading issues in a multi-user IoT-fog-cloud system with blockchain are investigated in this article at the same time. First, we provide a reliable access control system utilizing blockchain to enhance offloading security. This technique can guard cloud resources against unauthorized offloading practices. Next, we define a computation offloading issue by optimizing the offloading decisions, allocating computing resources and radio bandwidth, and intelligent contract use to address the computation management of authorized mobile devices. This optimization challenge focuses on the long-term system costs of latency, energy use, and intelligent contract charge among all mobile devices. We create a new Deep Reinforcement Learning (DRL) technique employing a double-dueling Q-network to address the suggested offloading problem. We provide a Markov Decision Process (MDP)-based DRL solution to the IoT offloading-enabled blockchain dilemma. The supposed system works in both online and offline settings, and when operating online, we use the Post Decision State (PDS) method. The contributions of this work include a new integrated offloading framework that can operate in offline/online environments while preserving security and a novel approach that incorporates fog platforms into IoT blockchain-enabled networks for improved system efficiency. Our method outperforms four benchmarks in cost by 5.1%, computational overhead by 4.1%, energy use by 3.3%, task failure rate by 3.6%, and latency by 3.9% on average.Science Citation Index Expande