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Found 6289 publications

Cognitive Approaches to Multimodal Mobility: Integrating E-Scooters with Public Transport in Győr, Hungary

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2026-01-01

Volume: 1768 LNNS

Issue: Unknown

Page Range: 72-77

Description:

The Public transport and micromobility roles, particularly electric scooters (e-scooters), are increasingly recognised as pivotal for sustainable urban mobility when integrated rather than made to compete. Cognitive mobility behaviour—how individuals select and combine transport modes—was examined through a systematic literature review, traffic counts conducted at peak-hour junctions, and an online survey of residents’ travel habits in Győr, Hungary. It was found that 46% of trips are made by private car, 24% by public transport, 8% by bicycle, 22% on foot, and only 1–3% by e-scooter. E-scooters were observed to be primarily used for short trips and first/last-mile connections, and reductions in car dependence were noted when e-scooters were integrated with public transport. The survey revealed that e-scooters most often replace walking (42%) and public transport (36%), with limited substitution of private car trips (13%). Significant gaps were identified in multimodal integration, infrastructure, legal frameworks, traffic monitoring, and public awareness. It is recommended that multimodal hubs, dedicated e-scooter lanes, improved traffic counting, and clearer regulations be implemented to support modal shift, enhance safety, and maximise environmental benefits.

Open Access: Yes

DOI: 10.1007/978-3-032-13898-9_8

Effect of PET Bottle Compaction on the Saturation of the Waste Container

Publication Name: Periodica Polytechnica Transportation Engineering

Publication Date: 2026-01-01

Volume: 54

Issue: 1

Page Range: 62-70

Description:

Engineers and users are being pushed by environmental concerns to maximize efficiency while minimizing ecological damage. Waste collection vehicles require fossil fuels during their collection route, as well as when lifting and emptying the containers, even if the design of separate waste collection islands has focused on the idea of recycling. Even in a computer plan–assisted collection, saturated containers may have low waste density, meaning that a sizable portion of the container becomes unusable due to the shape of the waste. To maximize container utilization, this study will investigate the type and compaction potential of each container. The simulation study will provide an answer to the question of how the density of waste placed in the various containers changes as a result of compressing each bottle. The research and development will optimize not only the saturation of the container but also the number of collection routes; in addition to the economic benefits, the environmental load will be reduced. The frequency of lifting and emptying the container will decrease, resulting in reduced maintenance and repair costs for the vehicle′s lifting system and container. It is a misconception that compaction by hand in one place, throughout the diameter of the PET bottle, is the optimum way to increase the efficiency of waste collection. Based on the tests carried out in this paper, foot diameter compaction at full height is considered to be the most appropriate method after the use of a costly compactor.

Open Access: Yes

DOI: 10.3311/PPtr.40745

AI-DRIVEN PUBLIC ADMINISTRATION: EXPERT INSIGHTS ON ADOPTION AND IMPLEMENTATION

Publication Name: Economics and Sociology

Publication Date: 2026-01-01

Volume: 19

Issue: 1

Page Range: 172-194

Description:

Artificial intelligence (AI) is increasingly transforming public administration, yet empirical evidence from developing countries remains limited. This study explores the current use, key challenges, and enabling conditions of AI adoption in Kazakhstan’s public administration system. The study employs an exploratory qualitative design based on semi-structured interviews with 20 experts from government, academia, and related professional domains. The data were analyzed using thematic analysis in ATLAS.ti to identify key themes. The findings show that AI adoption is in a transitional stage, supported by strong government initiatives and shifting from digitalization to its use in decision support and predictive analytics for more proactive public services. While a number of pilot projects and practical applications are already in place, broader adoption remains constrained by interrelated barriers, including data limitations, skills gaps, infrastructural constraints, and regulatory uncertainty. The results also identify a corresponding set of enabling conditions, such as institutional support, human capital development, data governance improvements, and cross-sector collaboration, which can facilitate further progress. By linking systemic barriers with corresponding enabling conditions, the study clarifies how AI adoption unfolds in practice and identifies actionable directions for policy and implementation.

Open Access: Yes

DOI: 10.14254/2071-789X.2026/19-1/9

Comparison and complete mitogenomes of two morphologically similar but ecologically different tick species, Ixodes arboricola and Ixodes lividus (subgenus Pholeoixodes)

Publication Name: Ticks and Tick Borne Diseases

Publication Date: 2026-01-01

Volume: 17

Issue: 1

Page Range: Unknown

Description:

Ixodes arboricola and Ixodes lividus are ornithophilic tick species. The former is typically associated with tree-hole dwelling birds, while the latter is a host-specific parasite of sand martins (Riparia riparia). These two tick species share important morphological characters that make them difficult to identify when they are collected from atypical hosts, such as birds of prey. Despite this, high resolution digital pictures have not been reported to compare I. arboricola and I. lividus, nor was their complete mitogenome reported. The aim of this study was to compensate for this lack of illustrations and sequence data. Nymphs and females of I. arboricola and I. lividus were used for morphological comparison, and one specimen of each species to generate mitogenome sequences. The results showed that females of these two species are different in the shape of their scutum, porose areas, the length of basis capituli, palps, coxae, genital pore, anal groove and tarsus I. On the other hand, nymphs of I. arboricola and I. lividus can be distinguished according to their cervical grooves, cornuae, auricular ridges and spiracular plates. The mitochondrial genome size was 14,539 and 14,536 bp, for I. arboricola and I. lividus, respectively. The mitogenome sequences of I. arboricola and I. lividus were 91.1% identical to each other. Phylogenetic analysis of Ixodes species showed that I. arboricola and I. lividus are sister species, and cluster together with Ixodes crenulatus/canisuga under strong support. In conclusion, results of this study confirmed that the front of the basis capituli is crucial in distinguishing Ixodes species, especially in the subgenus Pholeoixodes where these two species are phylogenetically closest related to I. canisuga. Another phylogenetically relevant morphological character is the scutal surface which is wrinkled (rugose) as a common feature of Pholeoixodes species in the clade of I. arboricola and I. lividus (including I. canisuga, I. rugicollis and I. ariadnae). Although the host ranges of I. arboricola and I. lividus do not substantially overlap, they may transmit some of the shared pathogens. Relevant data indicate that the eco-epidemiological significance of the two ornithophilic tick species studied here may in part be similar and they may play a role in the transmission of rickettsiae, borreliae and viruses of which birds act as reservoirs.

Open Access: Yes

DOI: 10.1016/j.ttbdis.2025.102589

Artificial intelligence-driven management: Bridging innovation, knowledge creation, and sustainable business practices

Publication Name: Journal of Innovation and Knowledge

Publication Date: 2026-01-01

Volume: 11

Issue: Unknown

Page Range: Unknown

Description:

The rapid evolution of artificial intelligence (AI) from expert systems and fuzzy logic to sophisticated technologies such as deep learning and big data analytics has transformed modern management practices. This study explores how AI-driven management practices can effectively bridge innovation, knowledge creation, and sustainable business practices, thereby contributing to long-term organizational growth and the achievement of the Sustainable Development Goals (SDGs). By employing a comprehensive review research technique and analyzing 1,377 articles from the Scopus database, this study uncovers critical themes, sub-themes, variables, and their interlinkages. The findings demonstrate AI’s transformative potential across diverse domains, including human resource management, consumer service management, strategic leadership, operational efficiency, and customer experience enhancement. This paper addresses the role of AI governance frameworks that prioritize ethical considerations such as accountability, transparency, privacy, and cybersecurity, while fostering innovation-oriented knowledge creation. Despite significant advancements, knowledge gaps remain in integrating AI with innovative business models to achieve sustainability objectives. The study concludes by offering research and policy recommendations to promote AI-driven innovations that are ethically sound, operationally efficient, and socially responsible. This work contributes to the discourse on AI’s role in enhancing knowledge systems and innovation processes, providing valuable insights for scholars, practitioners, policymakers, and business leaders.

Open Access: Yes

DOI: 10.1016/j.jik.2025.100860

Parametric approach toward the thermal analysis of unsteady micropolar hybrid nanofluid (CeO2 + Al2O3/SA) flow subject to multiple slip conditions over a Riga plate

Publication Name: Journal of Thermal Analysis and Calorimetry

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The Riga plate is a magnetized surface that influences fluid motion and boundary layer properties. It plays an important role in heat transfer, industrial processes, and aerodynamics. This study investigates the unsteady flow of a micropolar hybrid nanofluid (MHNF) over a Riga plate. The base-fluid sodium alginate (SA) has been used in the preparation of a hybrid nanofluid (HNF) consisting of CeO2 (cerium oxide) and Al2O3 (aluminum oxide) nanoparticles (NPs). The modeled equations are transformed into a dimensionless form via similarity transformations, and the resulting equations are then numerically solved using the PCM (parametric continuation method). The influence of numerous parameters on velocity, microrotation, energy, and fluid concentration profiles is demonstrated and explained using tables and figures. Results for skin friction, energy, and mass transmission rate are also provided. Comparisons to the published data corroborate the method’s accuracy. The skin friction reduces by up to 95.1263% and 34.4699%, respectively, as the velocity slip factor and the Hartmann number are varied from 0.1 to 1.0 and 1.0 to 4.0, respectively. The energy and fluid concentration transfer rates increase by up to 21.1823% and 32.4299%, respectively, as the thermal and concentration slip parameters are varied from 0.1 to 1.4 and 0.5 to 2.0, respectively. These findings have substantial significance for a wide range of engineering applications, particularly in improving heat and mass transfer processes in industrial operations, engineering, and nanotechnology.

Open Access: Yes

DOI: 10.1007/s10973-026-15542-z

Aerodynamic Effect of Shallow Circumferential Grooves in the Shroud of a Centrifugal Compressor

Publication Name: Journal of Turbomachinery

Publication Date: 2026-01-01

Volume: 148

Issue: 1

Page Range: Unknown

Description:

The standard aerodynamic design of a centrifugal compressor features an unshrouded impeller with a smooth shroud. However, the shape of the shroud significantly influences the final compressor parameters. Previous research has shown that even small geometric changes in the shroud, referred to as casing treatment, can substantially affect the operating characteristics of a rotating machine. This article presents a novel casing treatment for a centrifugal compressor, involving the creation of ten circumferential grooves with a semi-circular profile in a meridional section. The radius of these grooves is approximately equal to the tip clearance. Experimental results demonstrate that the presence of these grooves shifts the surge line toward lower flowrates, increases efficiency in a narrow region between the best efficiency point and the surge line and shifts the choke line toward lower flowrates. External sound pressure measurements indicate a reduction in amplitudes at sub-synchronous frequencies, suggesting a potential link between the compressor map's influence and the suppression of aerodynamic instabilities. Computational fluid dynamics analysis supports the experimental observations, revealing a significant influence of energy dissipation caused by the applied grooves. This study highlights the considerable impact of shroud geometry on centrifugal compressors with unshrouded impellers and offers valuable insights for further research into casing treatments.

Open Access: Yes

DOI: 10.1115/1.4069422

The rise and fall of the Balaton Sound: The festival’s life cycle and its effects on tourist inflow and seasonality of tourism

Publication Name: Journal of Convention and Event Tourism

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This study, grounded in Butler’s Tourism Area Life Cycle model, investigates the life cycle of the Balaton Sound music festival, with specific emphasis on its developmental trajectory, peak period, and subsequent decline. The analysis provides a structured framework for examining the evolution of the festival across six distinct stages and assessing its regional impacts. The research employs a mixed-methods approach. The qualitative component explores the festival’s life cycle stages, its social impacts on the local community, community responses, and shifts in the festival’s public image. The quantitative analysis includes data on visitor numbers, guest nights, and changes in the Gini index during festival periods. Findings indicate that the festival reached its zenith in the mid-2010s, characterized by both high tourism significance and elevated social prestige. The decline, however, was primarily triggered by the COVID-19 pandemic, shifts in consumer preferences, and declining perceived value, all of which diminished the overall festival experience. The study concludes that although Balaton Sound played a crucial role in shaping summer tourism in the region for over a decade, recent economic, environmental, and social challenges led to its discontinuation and the restructuring of Zamárdi’s tourism economy. The results are utilizable for DMOs and other industry stakeholders.

Open Access: Yes

DOI: 10.1080/15470148.2026.2644984

A Monte carlo framework for procedural fixture fairness evaluation in league competitions

Publication Name: Annals of Operations Research

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Fairness is a critical yet underexplored dimension of tournament scheduling, where fixture asymmetries can systematically distort competition outcomes. This paper develops a Monte Carlo simulation framework as a general decision-support tool for assessing procedural fairness in league formats, isolating distortions arising from fixture structure rather than team strength or ranking rules. The approach integrates probabilistic match outcome modelling with two complementary fairness indicators: total fairness bias, capturing the magnitude of schedule-induced distortions, and the Gini index, measuring their distribution across participants. By incorporating competition-specific importance weights, the framework enables a context-aware, two-dimensional assessment applicable to any round-robin or multi-phase format, and can be embedded as a modular component into optimization, heuristics, or machine learning–based scheduling systems. To illustrate its applicability, we apply the framework to two European football leagues with structurally asymmetric designs. The results show how corrective mechanisms – such as home/away balancing phases – can significantly reduce fairness distortions compared to uncorrected triple round-robin structures. Beyond the case studies, the contribution is methodological: the framework provides a reproducible tool for fairness assessment and a foundation for fairness-aware optimization and scheduling methods applicable across sports and competition formats. Although demonstrated on football, the methodology is domain-independent and transferable to any context where fairness and equity are of relevance.

Open Access: Yes

DOI: 10.1007/s10479-026-07148-3