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Found 6374 publications
Reliability-first, emissions reduction in grid-connected PV-coal systems: Optimal PV integration and coal dispatch under emission caps
Publication Name: Results in Engineering
Publication Date: 2026-06-01
Volume: 30
Issue: Unknown
Page Range: Unknown
Description:
Coal-dependent power systems must reduce cost volatility and emissions while maintaining reliable supply under rising demand. This study assesses whether a practical transition architecture, high-penetration photovoltaic (PV) generation combined with a dispatchable coal unit and grid support, can improve techno-economic and environmental performance without sacrificing feasibility. A grid-connected PV-coal-grid hybrid system was modelled and optimized in HOMER Pro, and a sensitivity campaign was conducted by varying coal fuel price, global horizontal irradiance (GHI), and load demand to test robustness and dispatch shifts. The least-cost feasible solution within the explored design space comprises 145 MW PV and a 75 MW coal power plant with grid interaction. Under baseline conditions, the optimized system achieves a net present cost (NPC) of $632 million and a levelized cost of electricity (COE) of $0.049/kWh. Sensitivity results show that increased GHI consistently reduces NPC and COE, while coal price increases drive greater PV utilization in dispatch without undermining feasibility. Load growth increases total system cost due to higher capital and operating requirements, yet COE changes remain modest, indicating improved utilization of installed assets at higher demand levels. The optimized configuration’s emissions inventory quantifies the residual environmental footprint of the least-cost reliable solution, including 429.2 million kg/yr CO₂, 3.30 million kg/yr SO₂, 0.44 million kg/yr NOₓ, 2.30 million kg/yr CO, 19.7 thousand kg/yr particulate matter, and 122 thousand kg/yr unburned hydrocarbons, reflecting reduced coal combustion through PV displacement during high-resource periods. These findings demonstrate that an optimized PV-coal-grid hybrid can deliver cost-competitive electricity, operational robustness to fuel/resource/demand uncertainty, and measurable multi-pollutant emissions mitigation, offering a realistic transition pathway for coal-reliant systems.
Open Access: Yes
Linking financial technology, innovation, and green finance to drive sustainable performance of SMEs of Pakistan
Publication Name: International Journal of Business Innovation and Research
Publication Date: 2025-01-01
Volume: 38
Issue: 6
Page Range: 30-54
Description:
Sustainability has become a strategic imperative for manufacturing SMEs amid increasing environmental regulations and stakeholder expectations. However, existing research offers limited insights into how digital financial innovations, particularly FinTech, contribute to sustainability performance in resource-constrained SMEs contexts. Addressing this gap, the present study investigates the impact of FinTech adoption (FA) on the sustainability performance (SP) of manufacturing SMEs, while exploring the mediating roles of organisational innovation (OI) and green finance (GF). Grounded in the resource-based view (RBV), the study develops a conceptual framework linking digital capabilities with sustainable outcomes. A quantitative research design was employed, and survey data were collected from 340 manufacturing SMEs in Pakistan. Structural equation modelling (SEM) was used to test hypothesised relationships. The results demonstrate that FA significantly improves sustainable performance both directly and indirectly through OI and GF. Furthermore, FA also mediates the relationship between GF and SP, emphasising its role in operationalising sustainable financial flows. This study provides empirical evidence that FA, when strategically integrated with innovation and financial mechanisms, acts as a transformative enabler of sustainability in SMEs. It contributes to theory by extending the RBV to include digital and green financial resources as dynamic capabilities for achieving environmental goals.
Open Access: Yes
Psychophysiological measures of a SuperEnduro athlete during a world championship: an in-situ case study
Publication Name: Frontiers in Psychology
Publication Date: 2026-03-31
Volume: 17
Issue: Unknown
Page Range: Unknown
Description:
Introduction – SuperEnduro is a high-risk motorcycle sport with no prior empirical data. This case study analyzed an elite rider during the fifth round of the 2023/2024 SuperEnduro Grand Prix. Methods – Psychological measures included core-, positive-, and negative affect, expected and perceived performance, mental and physical exhaustion, perceived risk of racing addiction, and a post-race interview. Physiological measures encompassed heart rate, caloric expenditure, work intensity, and training loads. Results – Results showed a decline in core affect, with positive affect remaining high and negative affect low after three races. Anxiety decreased progressively, but perceived and objective performance remained low. Elevated physiological measures and subjective perceptions confirmed SuperEnduro’s intensity. The participant self-identified himself as addicted to racing. However, his addiction score was low, suggesting passion or emotional attachment—a blend of pleasure and pain—driving his commitment to race even when injured. Discussion – These findings provide insight into the physical and psychological demands unique to SuperEnduro athletes.
Open Access: Yes
Classification of plantar foot alterations by fuzzy cognitive maps against multi-layer perceptron neural network
Publication Name: Biocybernetics and Biomedical Engineering
Publication Date: 2020-01-01
Volume: 40
Issue: 1
Page Range: 404-414
Description:
Load distribution analysis on foot surface allows knowing human mechanical behavior and aids the doctor in the detection of gait disorders like, the risk of foot ulcerations, leg discrepancy, and footprint alterations. Plantar pressure data combined with techniques that use integral reasoning produce easy understanding medical tools for assisting in treatment, early detection, and the development of preventive strategies. The present research compares the classification of human plantar foot alterations using Fuzzy Cognitive Maps (FCM) trained by Genetic Algorithm (GA) against a Multi-Layer Perceptron Neural Network (MLPNN). One hundred and fifty-one subject volunteers (aged 7–77) were classified previously with the flat foot (n = 70) and cavus foot (n = 81) by specialized physicians of the Piédica diagnostic center. The trial walking was conducted using plantar pressure platforms FreeMed®. The foot surface was divided into 14 areas that included toe 1 st to 5th, metatarsal joint 1st to 5th, lateral midfoot, medial midfoot, lateral heel, and medial heel. Pressure data were normalized for each area. Better performance in the classification using small amounts of data were found by using Fuzzy rather than non-Fuzzy approach.
Open Access: Yes
Evaluating Lighting and Cognitive Safety at Pedestrian Crossings: A Hungarian Case Study
Publication Name: Lecture Notes in Networks and Systems
Publication Date: 2026-01-01
Volume: 1768 LNNS
Issue: Unknown
Page Range: 106-111
Description:
This study investigates how lighting quality and emerging intelligent technologies influence pedestrian safety at designated crossings, with particular focus on cognitive aspects of perception, decision-making, and situational awareness. The aim is twofold: to evaluate whether existing crossings in Hungary meet established lighting standards and to explore how adaptive, sensor driven systems can enhance cognitive safety. Field measurements were conducted at 14 non-signalized crossings in three Hungarian cities—Veszprém, Budapest (District 22), and Békéscsaba—following the MSZ EN 13201 protocol. Accident data from the national WEB-BAL database guided site selection, emphasizing high-risk nighttime locations. Results reveal that only five sites met both recommended thresholds of 20 lx average illuminance and 0.4 uniformity, with poor waiting-area lighting and asymmetrical designs as recurring deficiencies. The study further highlights the potential of adaptive LED systems and smart crosswalk technologies (e.g., SafeCross, SafeXOne) to reduce cognitive load and improve pedestrian visibility. The findings demonstrate that beyond compliance with lighting standards, cognitively responsive infrastructure—integrating intelligent, adaptive solutions—is essential for creating safer pedestrian environments at night.
Open Access: Yes
Impact of Different Rainfall Intensity and Duration on Flash-Flood Events on a Steep-Sloped Ungauged Watershed
Publication Name: Chemical Engineering Transactions
Publication Date: 2023-01-01
Volume: 107
Issue: Unknown
Page Range: 175-180
Description:
Changing climate conditions increase rainfall intensity and cause a growing number of flash flood events. Due to flash floods, problems with water damage prevention (urban area floods, erosion of natural watersheds) are increasing; these events also make the sustainable maintenance of watersheds more challenging. Hungarian watersheds are ungauged; very little historical or real-time data is available, making it difficult to understand the hydrological processes occurring during flash flood events. When only limited data is available, numerical models help predict peak flows and runoff volume. Additionally, a comparison of different models and parametrizations could be a helpful tool to reduce prediction uncertainty. This paper evaluates the impact of different rainfall intensities and durations on flash flood events at the ungauged watershed of the Morgó-creek on the northern side of Hungary. Land use conditions are primarily natural, with urban areas close to the outlet point. Hydrological and hydrodynamical models were used to apply different scenarios to determine the sensitivity of the whole watershed system based on typical precipitation events in time and intensity. The models predicted different peak flows and timing for flash floods. Using both models for comparison is recommended for flash flood prediction to compensate for the lack of measured data.
Open Access: Yes
DOI: 10.3303/CET23107030
Arable Weeds and Management in Europe
Alicia Cirujeda
Michael Glemnitz
Jana Bürger
Guillaume Fried
Jevgenija Ņečajeva
Lena Ulber
Silvia Fogliatto
Michaela Kolářová
Eva Hernández Plaza
Matthias Schumacher
Bärbel Gerowitt
G. Pinke
Sandrine Petit
Christoph Redwitz
Helen Metcalfe
Denise Fu Dostatny
José Luis González-Andújar
Francesco Vidotto
Jordi Izquierdo
Publication Name: Vegetation Classification and Survey
Publication Date: 2020-01-01
Volume: 1
Issue: Unknown
Page Range: 169-170
Description:
“Arable Weeds and Management in Europe” is a collection of weed vegetation records from arable fields in Europe, initiated within the Working Group Weeds and Biodiversity of the European Weed Research Society (EWRS). Vegetation-plot data from this scientific community was not previously contributed to databases. We aim to prove the usefulness of collection for large scale studies through some first analyses. We hope to assure other weed scientists who have signalled willingness to share data, and plan to construct a full data base, making the data available for easy sharing. Presently, the collection has over 60,000 records, taken between 1996 and 2015. Many more studies for potential inclusion exist. Data originate mostly from studies exploring the effect of agricultural management on weed vegetation. The database is accompanied with extensive meta-data on crop and weed management on the surveyed fields. The criteria for inclusion were a minimum amount of information on the cultivated crop, and a georeference. Most fields were surveyed repeatedly, i.e. transects, multiple random plots, or repeated visits. All surveys aimed to record the complete vegetation on the plots. Sometimes, taxa were identified only to genus level, due to survey dates very early in the vegetation period. Plant taxonomy is standardized to the Euro+Med PlantBase.
Open Access: Yes
Advancing PFMEA Decision-Making: FRADAR Based Prioritization of Failure Modes Using AP, RPN, and Multi-Attribute Assessment in the Automotive Industry
Publication Name: Tehnicki Glasnik
Publication Date: 2025-01-01
Volume: 19
Issue: 3
Page Range: 442-451
Description:
This research proposes a novel way to improve Process Failure Modes and Effects Analysis (PFMEA) by using the Fuzzy RAnking based on the Distances And Range (FRADAR) method to prioritize activities for mitigating or eliminating failure modes in the automotive industry. The suggested approach seeks to improve classic PFMEA by using fuzzy sets to better assess risk-related criteria and their inherent uncertainty. The criteria used to prioritize actions for mitigating failure modes include the Action Priority (AP) and Risk Priority Number (RPN) approach, as well as the cost-effectiveness of actions, the time required to resolve issues, and their impact on production, all of which are assessed by a PFMEA team using predefined linguistic terms and suggestions. Applied to a case study of a Tier-1 automotive supplier, the FRADAR method effectively ranks failure modes, providing a structured and precise approach for action prioritization. The results highlight the model’s potential to enhance decision-making processes, offering a robust framework for implementing PFMEA recommendations in the automotive industry.
Open Access: Yes
Dissipative dynamics in the free massive boson limit of the sine-Gordon model
Publication Name: Scipost Physics Core
Publication Date: 2022-01-01
Volume: 5
Issue: 1
Page Range: Unknown
Description:
We study the dissipative dynamics of one-dimensional fermions, described in terms of the sine-Gordon model in its free massive boson or semi-classical limit, while keeping track of forward scattering processes. The system is prepared in the gapped ground state, and then coupled to environment through local currents within the Lindblad formalism. The heating dynamics of the system is followed using bosonization. The single particle density matrix exhibits correlations between the left and right moving particles. While the density matrix of right movers and left movers is translationally invariant, the left-right sector is not, corresponding to a translational symmetry breaking charge density wave state. Asymptotically, the single particle density matrix decays exponentially with exponent proportional to -γt|x|∆2 where γ and ∆ are the dissipative coupling and the gap, respectively. The charge density wave order parameter decays exponentially in time with an interaction independent decay rate. The second Rényi entropy grows linearly with time and is essentially insensitive to the presence of the gap.
Open Access: Yes
