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Social innovations in social services: concept and main features
No full textThe overwhelming goal of the research was to provide a knowledge basis for the process of the selection of
social innovation ideas within the open call organized by the Society Integration Foundation of the Republic of Latvia.
This competition is one of the actions within the ESF+ financed project “Support for new approaches in the provision
of community-based social services”. The tasks involved the development of the comprehensive definition and indicators
of social innovation for the field of Social Services, as well as evaluation criteria for Social Innovation ideas and
projects, and practical methodology for criteria application. The goal of the current research was to build a common
understanding of social innovations and their features. Data was processed by means of content analysis with the application
of Voyant Tool, and analysis of the experts’ answers. The main identified features of social innovation in the
field of social services are initial stimulus, novelty, need for collaboration, effectiveness, sustainability, social value, and
scalability and repeatability.Taip / YesLatvian Social Integration FoundationSupport for new approaches in the provision of community-based social service
YOLOv8-Based Transfer Learning for Mangrove Species Classification Using Leaf Images
No full textReliable classification of mangrove species is essential for conservation efforts, ecological research, and effective biodiversity monitoring. Traditional identification methods, which depend on human observation, are resource-intensive and necessitate domain-specific knowledge. This study employs deep learning, specifically YOLOv8 with transfer learning, for mangrove species classification based on leaf images. A dataset of 4,311 leaf images, originally gathered, representing 10 mangrove species (Avicennia marina, Avicennia rumphiana, Bruguiera gymnorrhiza, Ceriops decandra, Ceriops tagal, Excoecaria agallocha, Rhizophora apiculata, Rhizophora mucronata, Rhizophora stylosa, and Xylocarpus granatum), was utilized for training and evaluating the model. The model attained a strong top-1 training accuracy of 98.3% and a testing accuracy of 97.42%. A confusion matrix analysis revealed strong classification performance, particularly for Rhizophora mucronata, Avicennia rumphiana, and Rhizophora stylosa, though some misclassifications occurred among morphologically similar species. The results highlight the potential of YOLOv8 in plant species identification, providing a scalable and efficient solution for large-scale biodiversity assessments and conservation efforts.Taip / Ye
Biblioteka informuoja, 2025 Nr. 31 (728)
No full textNaujai į Web of Science ir Scopus įtrauktų Vilnius Gedimino technikos darbuotojų publikacijų sąrašai ir kitos bibliotekos aktualijos.31 (728)202
The analysis of the application of blockchain technology in audit processes
No full textWith the rapid development of blockchain technology in various industries, it is increasingly being applied in
the field of audit, as this technological solution can fundamentally transform existing audit processes, ensuring greater
efficiency, security level and transparency compared to the modern audit process. This technology is characterized by
decentralization and immutability when recording transactions in the database, which reduces the likelihood of errors,
fraud and ensures the accuracy of existing data. Although blockchain provides advanced opportunities, there are still
challenges related to legal regulations and regulations, implementation of technological solutions or compatibility with
existing systems, as well as relevant scalability problems. Since the application of the technology is quite wide, there
is a need to assess the possibilities of applying blockchain technology in the audit field and its impact on audit quality.
The purpose of the article is to assess the effectiveness of blockchain applications in audit processes. The methods
used in the article are literature and systematic analysis, methods of comparing theoretical and practical statements,
and SWOT analysis.Taip / Ye
Biblioteka informuoja, 2025 Nr. 12 (709)
No full textNaujai į Web of Science ir Scopus įtrauktų Vilnius Gedimino technikos darbuotojų publikacijų sąrašai ir kitos bibliotekos aktualijos.12 (709)202
Attitudinal typology of local retail business owners: profile analysis and prospects for continuity in a changing retail environment
No full textThe transformation of local proximity retail is a significant phenomenon that reflects changes in the current
retail landscape. This sector has experienced a notable decline in its overall market share, from 27% in 2005 to 21%
in 2020, mainly due to changing consumer habits, digitalization, globalization and increasing competition from large
corporations. In order to better understand the current situation and future prospects of this sector, a comprehensive
qualitative study was carried out involving 61 interviews, of which 54 were with store owners and 7 with locally retailers’
associations in the Comunitat Valenciana (Valencia Region, Spain). The research was developed through a semistructured
questionnaire of 72 questions, organized around the six main challenges identified in the Strategic Plan for
Retail Trade and Crafts of the Valencian Community 2021–2025. The methodology employed included the NGT technique
for psychographic segmentation, allowing an in-depth understanding of the different business perspectives. The
results of the study revealed four distinctive profiles of traders. The “Pre-retirees”, the “Conformists”, the “Disoriented”
and “Innovators”. The implications of these findings suggest the need for differentiated policies to promote local commerce,
according to the profile of the merchant.Cátedra de Comercio Confecomerç-UPVTaip / Ye
Biblioteka informuoja, 2025 Nr. 29 (726)
No full textNaujai į Web of Science ir Scopus įtrauktų Vilnius Gedimino technikos darbuotojų publikacijų sąrašai ir kitos bibliotekos aktualijos.29 (726)202
Development of a sustainable food system in the context of the European Union long-term vision for rural areas
No full textDisertacijoje nagrinėjamos tvariosios maisto sistemos plėtros problemos Europos Sąjungos (toliau – ES) ilgalaikės kaimo vizijos kontekste, atsižvelgiant į Lietuvos atvejus. Tyrimo objektas – Lietuvos maisto sistemos tvarumo dimensijos: ekonominė, socialinė ir aplinkos. Šios dimensijos analizuojamos, remiantis tokiais indikatoriais kaip: tiekimo grandinių gyvybingumas (angl. Supply Chains Viability, toliau – SCV) (ekonominė dimensija), lyčių lygybė (angl. Gender Equality, toliau – GE), kartų kaita (angl. Generational Change, toliau – GC) (socialinė dimensija), vandens pėdsakas ir maisto praradimai (angl. Food Waste, toliau – FW) (angl. Water Footprint, toliau – WF) (aplinkos dimensija).
Tvariosios maisto sistemos plėtros aktualumą apibrėžia jos svarba aprū-pinant visuomenę prieinamu, saugiu ir sveiku maistu, jos įtaka aplinkai ir kaimo vietovių socialinei ekonominei struktūrai. Todėl, tvariosios maisto sistemos plėtra yra vienas iš ES ilgalaikės kaimo vietovių vizijos prioritetų, siekiant, kad ES kaimo vietovės būtų stipresnės, sujungtos, atsparios ir klestinčios. Pagrindinių tyrimo objektų analizė leidžia pasiūlyti sprendinius tvariosios maisto sistemos plėtrai užtikrinti.
Disertacinio darbo tikslas – sukurti ir empiriškai aprobuoti metodiką, skirtą maisto sistemos tvarumui vertinti. Siūloma metodika ne tik įvertina maisto sistemos tvarumo aspektus, bet ir padeda skatinti tvariosios maisto sistemos plėtrą. Sukurta metodika gali būti pritaikyti finansinėms ir administracinėms intervencijoms, siekiant švelninti ar eliminuoti esamas tvariosios maisto sistemos plėtros problemas ir jų sukeliamus neigiamus efektus tiek Lietuvoje, tiek kitose ES šalyse.
Disertaciniame darbe taikoma mišrioji metodika, jungianti apklausas, statistinę analizę, ekspertinius vertinimus, daugiakriterius sprendimų priėmimo metodus. Ši metodika leidžia sistemiškai ir išsamiai išnagrinėti tvariosios maisto sistemos plėtros problematiką ekonominiu, socialiniu ir aplinkosauginiu aspektais ir skirtingais valdymo lygmenimis. Daugiakriteris metodas paprastasis adityvusis svėrimas (angl. Simple Additive Weighting) su Monte Karlo simuliacija buvo taikomas maisto sistemos tvarumo ekonominei dimensijai vertinti.The dissertation examines the problems of sustainable development of the food system in the context of the long-term vision of the countryside in the European Union (EU), considering the case of Lithuania. The object of the study is the sustainability dimensions of the Lithuanian food system: economic, social, and environmental. These dimensions are analyzed based on indicators, such as the viability (economic dimension) of supply chains, gender equality and generational change (social dimension), water footprint, and loss of misto (environmental dimension).
The relevance of the sustainable development of the food system is defined by its importance in providing society with accessible, safe, and healthy food, its impact on the environment, and the socio-economic structure of rural areas. Therefore, developing a sustainable food system is one of the priorities of the EU’s long-term vision for rural areas, ensuring they are stronger, connected, resilient, and prosperous. The analysis of the main objects of research helps to offer solutions to ensure the development of a sustainable food system.
The dissertation aims to develop and empirically approve a methodology for assessing the food system’s sustainability.
The proposed methodology not only assesses the sustainability aspects of the food system but also helps to promote the development of a sustainable food system. The developed methodology can be applied to financial and administrative interventions to mitigate or eliminate the existing problems of sustainable development of the food system and the negative effects they cause in Lithuania and other EU countries.
The dissertation applied a mixed methodology, combining surveys, statistical analysis, expert assessments, and multi-criteria decision-making methods. This methodology makes it possible to systematically and thoroughly examine the problems of sustainable development of the food system from an economic, social, and environmental point of view and at different levels of governance. The multi-criteria method of simple additive weighing (Simple Additive Weighting) with Monte Carlo simulation was used to assess the economic dimension of the food system’s sustainability
Stress and strain analysis of an innovative string cable suspension steel bridge structure
No full textDarbe tiriama styginio kabamojo tilto konstrukcija. Styginė kabamoji sistema – tai vienajuosčio ir styginio tiltų derinys, kai šios abi konstrukcinės schemos sujungiamos į bendrą sistemą.
Tyrimo metu pristatyta nauja styginė kabamoji tilto konstrukcija ir jos komponavimo parametrai. Buvo parengtos inžinerinės apskaičiavimo metodikos stygos ir styginės kabamosios konstrukcijos poslinkiams ir įrąžoms apskaičiuoti. Rezultatams pagrįsti buvo atlikti skaitinis ir eksperimentinis tyrimai.
Disertaciją sudaro įvadas, trys skyriai, išvados, naudotos literatūros ir autoriaus publikacijų disertacijos tema sąrašai, priedai.
Įvadiniame skyriuje aptariama tiriamoji problema, darbo aktualumas, aprašomas tyrimų objektas, formuluojamas darbo tikslas bei uždaviniai. Aprašoma tyrimų metodika, darbo mokslinis naujumas, darbo rezultatų praktinė reikšmė, ginamieji teiginiai. Įvado pabaigoje pristatomos disertacijos tema paskelbtos autoriaus publikacijos ir pranešimai konferencijose bei disertacijos struktūra.
Pirmame skyriuje pateikta kabamųjų ir styginių tiltų konstrukcijų ir jų apskaičiavimo metodų apžvalga. Skyriaus pabaigoje suformuluotos išvados ir pagrindiniai disertacijos uždaviniai.
Antrame skyriuje pristatoma nauja styginė kabamoji konstrukcija ir jos komponavimo parametrai. Skyriuje taip pat pateikiami styginės ir naujos styginės kabamosios tilto konstrukcijos poslinkių ir įrąžų inžinerinė apskaičiavimo metodika. Atliekant konstrukcijos analizę skaitiniu metodu, detaliau išnagrinėjama konstrukcijos elgsena esant skirtingiems stygos įtempimams, įvairiems kintamosios ir nuolatinės apkrovos santykiams bei skirtingiems stygos ir apatinio lyno ašinių standžių santykiams.
Trečiame skyriuje pateikiami styginės ir styginės kabamosios tilto konstrukcijos modelių eksperimentiniai tyrimai. Skyriuje aprašoma eksperimento programa, naudotų medžiagų ir įrangos charakteristikos. Taip pat aprašomi gauti eksperimento rezultatai, kurie yra sugretinami su skaitiniu metodu gautais rezultatais.
Disertacijos tema yra paskelbti 6 moksliniai straipsniai recenzuojamuose mokslo žurnaluose, iš kurių du Web of Science duomenų bazės leidiniuose turinčiuose citavimo indeksą; du straipsniai kitų tarptautinių duomenų bazių leidiniuose bei du straipsniai recenzuojamame Mokslas – Lietuvos ateitis žurnale. Disertacijoje atliktų tyrimų rezultatai buvo paskelbti dvejose tarptautinėse užsienio mokslinėse konferencijose.The research examines the structure of a string cable suspension bridge structure. The string cable suspension system is a hybrid of a stress-ribbon and a string bridge, where both structural schemes are integrated into a unified system.
During the research, a new string cable suspension bridge structure and its configuration parameters were introduced. Engineering calculation methodologies for displacements and strains in both string and string cable suspension structures were developed. Numerical and experimental studies were conducted to validate the results.
The dissertation consists of an introduction, three chapters, conclusions, references, a list of the author’s publications on the dissertation topic, and appendices.
The introductory chapter discusses the research problem and the relevance of the research and describes the research object. It also formulates the research aim and objectives, describes the research methodology, the scientific novelty of the work, the practical significance of the results, and the main defended statements. At the end of the introduction, the author's publications and conference presentations on the topic of the dissertation, as well as the structure of the dissertation, are presented.
The First Chapter provides an overview of string cable suspension and stress-ribbon bridge structures and their calculation methods. The chapter concludes with formulated conclusions and the main research objectives of the dissertation.
The Second Chapter introduces the new string cable suspension structure and its configuration parameters. It also presents an engineering calculation methodology for the displacements and strains in string and new string cable suspension bridge structures. The numerical analysis of the structure examines its behaviour.
The Third Chapter presents experimental studies of string and string cable suspension bridge models. It describes the experimental program, the characteristics of the materials and equipment used in the experiments, and the equipment parameters. The obtained experimental results are also presented and compared with those obtained using numerical methods.
Six scientific articles were published on the topic of the dissertation in peer-reviewed scientific journals. Two of them are indexed in the Web of Science database, two are published in journals indexed in other international databases, and two are published in the peer-reviewed journal Science – The Future of Lithuania. The research results of the dissertation have also been presented at two international scientific conferences
A Comparative Study of Bird Species Classification Using K-Nearest Neighbors, Convolutional Neural Networks, and Support Vector Machines
No full textBird species classification is crucial for ecological monitoring and biodiversity conservation, providing valuable insights into ecosystem health. This study aims to compare the performance of three machine learning algorithms—K-Nearest Neighbors (KNN), Convolutional Neural Networks (CNN), and Support Vector Machines (SVM)—in classifying bird species from images. A dataset of 15 bird species was selected, and data augmentation techniques were applied to enhance model generalization. KNN, CNN, and SVM were implemented using pre-trained MobileNet for feature extraction and evaluated based on accuracy, F1-score, and robustness to dataset variations. Results showed that CNN outperformed both KNN and SVM, achieving an accuracy of 92% and an F1-score of 0.92, while KNN achieved 71% accuracy and an F1-score of 0.71, and SVM performed poorly with only 24% accuracy and an F1-score of 0.24. The CNN model's superior performance highlights its effectiveness for complex classification tasks, making it the most suitable for bird species classification in ecological applications. Based on these findings, it is recommended that CNNs be used for large-scale biodiversity monitoring. Future research should explore advanced CNN architectures and combine them with techniques like transfer learning to improve performance further. Additionally, KNN may benefit from integrating more profound feature learning methods, while SVM may not be ideal for such tasks.Taip / Ye