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Circular economy principles at the sustainable tourism development: the actuality review
No full textThis article provides a review of Circular Economy (CE) scientific approaches within the context of sustainable
tourism, discussing relevance and applicability of the topic in today’s dynamic economic environment. The review
highlights the need for sustainable practices in tourism, driven by increasing awareness of sustainability. By adopting
CE strategies, businesses can achieve significant cost savings through resource optimization while simultaneously fostering
socio-economic development in the destinations they operate in. The study illustrates how implementing CE
principles in the tourism sector can lead to efficient waste management, enhanced environmental performance, and
economic opportunities for businesses. Furthermore, it discusses the positive impacts on local communities, including
job creation, improved infrastructure, and preservation of cultural heritage. The review also identifies key CE indicators
that measure sustainability outcomes, such as resource recovery rates and community engagement levels utilizing
frameworks such as STEEPLE and Porter’s Generic Strategies.Taip / Ye
Corrigendum “Interactive mechanisms between pfas and soil characteristics: a review”
No full textTaip / Ye
Biblioteka informuoja, 2025 Nr. 46 (743)
No full textNaujai į Web of Science ir Scopus įtrauktų Vilnius Gedimino technikos darbuotojų publikacijų sąrašai ir kitos bibliotekos aktualijos.46 (743)202
Introducing the IRES Tool: A Data-Driven Excel Model for Wind Farm Repowering
No full textThe transition to renewable energy is crucial for addressing climate change and ensuring energy security. Wind energy plays a central role in this shift, but as many wind farms approach the end of their operational lifespan, repowering emerges as a key strategy to enhance energy production and optimize land use. However, repowering involves complex decision-making processes, requiring a comprehensive assessment of technical, economic, and environmental factors. To support stakeholders in evaluating repowering potential, this study introduces the IRES Repowering Tool, an innovative Excel-based solution designed to streamline wind turbine repowering analysis. The tool provides a step-by-step interface that enables users to explore different repowering scenarios, optimize energy output, assess costs, and evaluate hydrogen production potential. This study highlights the role of repowering in supporting Germany’s renewable energy goals, addressing regulatory challenges, and integrating wind power with green hydrogen production. By examining real-world case studies and analyzing key parameters such as Levelized Cost of Energy and energy yield improvements, the IRES Repowering Tool offers a structured, data-driven approach to decision-making in wind farm repowering.Taip / Ye
Predicting Solid Particle Levels in Diesel Generators using an Autoformer Neural Network
No full textThe period between 2010 and 2017 was marked by robust economic growth, which resulted in a notable rise in global energy consumption. Specifically, electricity usage surged by 19.4%, while fossil fuels experienced a 9.1% increase. In this context, the innovation of smart, environmentally-friendly diesel generators, coupled with the implementation of advanced artificial intelligence algorithms for optimizing performance and minimizing emissions, is garnering significant attention within industrial automation sectors. This study introduces the autoformer neural network framework, tailored for predicting solid particle emissions from diesel generators. The prediction model utilized input parameters such as vibration data, acoustic signals, and thermal images of exhaust gases. The generator was tested under varying loads of 0.0 kW, 0.3 kW, 0.6 kW, 1.0 kW, 1.3 kW, 1.6 kW, and 2.0 kW, while measuring exhaust particle sizes of 0.3 μm, 0.5 μm, 1.0 μm, 2.5 μm, 5.0 μm, and 10.0 μm. The autoformer model yielded optimal predictions at a generator load of 1.3 kW, achieving a MAPE of 1.1%, 3.2%, 0.8%, 1.4%, 1%, and 0.9% for particles sizes of 0.3 μm, 0.5 μm, 1.0 μm, 2.5 μm, 5.0 μm, and 10.0 μm, respectively. Although the autoformer model’s accuracy declined under varying load conditions, these findings affirm its potential as an innovative tool for predicting exhaust particle emissions effectively.Taip / Ye
Researcher competences in higher education institutions: a bibliometric analysis
No full textThis study aims to analyse the existing body of knowledge on researcher competencies in higher education
institutions using bibliometric techniques. The principal objectives are to identify key themes, trends, and research
gaps. This study explores how emerging themes such as research ethics, open science, and digital literacy are reshaping
researcher competencies and serves as the foundation for a future empirical study based on the European Competence
Framework for Researchers. The author analysed how annual publication dynamics relate to significant events that occurred
during peak years. The most popular journals were examined. A VOS viewer co-occurrence analysis was chosen
as the method of examination, and all key terms were carefully analysed.Taip / Ye
Analyzing consumer behavior and interventions to reduce fashion waste based on the comprehensive action determine model
No full textThis study investigates consumer behaviour regarding fashion products, specifically within the context of
frugal living, to promote environmental sustainability and substantially reduce fashion waste. Using the Comprehensive
Action Decision Making Model (CADM) based on Inference Theory, the research employs rigorous statistical
analyses, including repeated measures ANOVA, the Scheffé test, and Pearson correlation. We systematically assessed
three intervention strategies: basic environmental knowledge, cost considerations, and benchmarking information. The
results indicated that the mean scores for the first intervention were statistically similar to those of the second intervention.
However, the difference between the second and the third intervention was significantly notable, with the third
strategy yielding a lower mean score. Moreover, the repeated measures ANOVA revealed substantial differences among
the three interventions, strongly supporting our hypothesis with relevant p-values. Ultimately, this study convincingly
demonstrated that the third intervention, which focused on benchmarking information, was the most effective in influencing
consumers’ behaviour towards sustainable fashion choices. This also highlights the nudge strategy of fashion
waste reduction promotion is significant for the Indonesia people.Taip / Ye
Duomenimis grįstas metodas krovinių vežimo keliais efektyvumui didinti
No full textLarge and medium-sized asset-based road transport companies have long-term growth strategies. The logistics business is cyclical, and companies, especially asset-based, must align their growth ambitions with market cycles. Growth during a cycle of decreasing demand for transportation services and declining prices can negatively impact businesses, leading to underutilisation of resources and significant financial losses. Conversely, when demand recovers, and transportation rates increase, there is often a delayed readiness – a shortage of human and other resources (e.g., to achieve the desired number of trucks). This situation can result in unused market potential, competitive losses, and the inability to achieve strategic goals on time.
Business digitalisation brings an opportunity to develop novel technological solutions that may increase efficiency in the transportation sector. Efficiency in transportation companies is analysed in this dissertation, focusing on developing a freight rate and demand a prognosis method. By taking different approaches, the research offers a comprehensive subject analysis. It helps bridge the literature gap on demand and freight rate prognosis in road freight transportation.
The study employs artificial intelligence-based and econometric models, including multivariate models, to comprehensively analyse the subject matter and address the problem. These models consider various factors influencing demand and pricing, such as economic indicators, accumulated practical experience and market trends.
The analysis results provide valuable insights into demand prognosis and pricing in the road freight transport industry during significant market fluctuations. It can serve as a valuable reference for companies in the sector.
Based on the investigation, a data-driven method for increased efficiency in road freight transportation has been developed, and the possibility of its integration into the company’s IT system has been analysed.
The dissertation includes an introduction, three chapters, general conclusions and references.
The main results of the dissertation were published in four scientific publications: two in journals referenced by the Web of Science database with Impact Factor and two in Conference Proceedings. Research results were presented during the international conference Transbaltica plenary session (2019) and conference Transport Problems (2024).Didelės ir vidutinio dydžio kelių transporto įmonės su nuosavu transporto priemonių parku turi ilgalaikes augimo strategijas. Logistikos verslas yra cikliškas, todėl įmonės, ypač turinčios nuosavą parką, privalo suderinti savo augimo ambicijas su rinkos ciklais. Augimas esant mažėjančiai paklausai transporto paslaugoms ir mažėjant tarifams gali neigiamai paveikti verslą – tai gali lemti nepakankamą resursų panaudojimą ir reikšmingas finansines nuostolių problemas. Priešingai, kai paklausa atsinaujina ir transportavimo tarifai kyla, dažnai atsiliekama su pasirengimu – trūksta žmogiškųjų ir kitų resursų (pavyzdžiui, norint pasiekti pageidaujamą sunkvežimių skaičių). Tai gali lemti neišnaudotą rinkos potencialą, konkurencijos praradimus ir nesugebėjimą laiku pasiekti strateginius tikslus.
Verslo skaitmenizacija suteikia galimybę kurti naujus technologinius sprendimus, kurie gali padidinti transporto sektoriaus efektyvumą. Šioje disertacijoje nagrinėjamas transportavimo efektyvumo didinimas, sutelkiant dėmesį į krovinių tarifų ir paklausos prognozavimo metodų kūrimą. Tyrimų metu pritaikius įvairius metodus pateikiama išsami temos analizė, užpildant literatūros spragą dėl paklausos ir krovinių tarifų prognozavimo kelių transporto sektoriuje.
Disertacijoje taikomi dirbtinio intelekto ir ekonometriniai modeliai, įskaitant daugiamačius modelius, siekiant išsamiai išanalizuoti temą ir spręsti problemą. Šie modeliai atsižvelgia į įvairius veiksnius, darančius įtaką paklausai ir kainodarai, tokius kaip ekonominiai rodikliai bei sukaupta praktinė patirtis ir rinkos tendencijos.
Atlikti tyrimai pabrėžia paklausos ir krovinių tarifų prognozavimo svarbą didinant kelių krovinių transporto pramonės efektyvumą. Pateikiamas metodas, kurį įmonės gali taikyti prognozavimui.
Remiantis tyrimu, buvo sukurtas duomenimis pagrįstas metodas efektyvumui kelių transporto srityje didinti ir išanalizuota jo integracijos į įmonės IT sistemą galimybė.
Pagrindiniai disertacijos rezultatai buvo paskelbti keturiuose moksliniuose leidiniuose: dviejuose žurnaluose, kuriuos indeksuoja Web of Science duomenų bazė su cituojamumo rodikliu, ir dviejuose konferencijų leidiniuose. Tyrimų rezultatai buvo pristatyti tarptautinės konferencijos Transbaltica plenarinėje sesijoje (2019 m.) ir konferencijoje Transport Problems (2024 m.)
Circular economy life cycle CO₂ calculator analysis: examples of plastics and paper
No full textPagrindinis darbo tikslas – išnagrinėti žiedinės ekonomikos būvio ciklą plastiko ir popieriaus atveju bei palyginti
jų CO₂ emisijų susidarymo šaltinius viso žiedinės ekonomikos gyvavimo ciklo metu. Darbe nagrinėjami pagrindiniai
du CO₂ emisijoms skaičiuoti naudojami sertifikuoti standartai ISO 14064 ir ŠESD protokolas (GHG Protocol).
Remiantis moksliniais straipsniais, lyginamas popierinio maišelio ir plastikinio maišelio gaminio būvio ciklo metu susidarantis
CO₂ emisijų kiekis. CO₂ emisijos susidaro ne tik gaminio būvio ciklo metu, bet ir visos žiedinės ekonomikos
modelio procese, nagrinėjama kiekviena plastikinio ir popierinio maišelio gaminio žiedinės ekonomikos ciklo dalis.
Abiejų gaminių kelias panašus, tik perdirbimo procese skiriasi rezultatai, antrinis žaliavų panaudojimas efektyvesnis
plastiko gaminių gamyboje, bet popieriaus irimas gamtoje padaro daug mažiau žalos.The main objective of this work is to examine the
circular economy life cycle in the case of plastics and paper
and to compare the sources of CO₂ emissions throughout the
entire life cycle of the circular economy. The study focuses
on the main two certified standards used for CO₂ emissions
calculations: ISO 14064 and the Greenhouse Gas Protocol
(GHG Protocol). Based on scientific articles, the CO₂ emissions
generated during the life cycle of paper and plastic bags
are compared. CO₂ emissions arise not only during the product
life cycle but also throughout the entire circular economy
model process, examining each part of the circular economy
cycle for both plastic and paper products. The paths of both
products are similar, but the outcomes of the recycling process
differ; the secondary raw material use is more efficient in plastic
product manufacturing, while the degradation of paper in
nature causes much less harm.Taip / Ye
Proceedings of the 2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream’2025) : Organizers Foreword
No full textWe are very glad to welcome our colleagues – young scientists, researchers and practitioners to the 12-th IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream’2025), held in Vilnius Gediminas Technical University (VILNIUS TECH), Vilnius, Lithuania, on 24 April 2025. The eStream conferences aim to disseminate the research achievements between worldwide groups of scientists and engineers working in different areas of science to reach more tight relationships and generate new ideas for joint projects or other means of collaboration.Vilnius Gediminas Technical UniversityIEEE Lithuania SectionTaip / Ye