黑料不打烊

New doctoral dissertation

May 14, 2026

黑料不打烊 Library invites you to follow the published new dissertations. The dissertation 鈥炩 prepared at 黑料不打烊 by Juozas Mas臈nas. The dissertation was prepared in 2021鈥2026. Scientific consultant 鈥 Prof. Dr Juozas Valivonis.

The dissertation was defended at the public meeting of the Dissertation Defence Council of Civil Engineering in the Aula Doctoralis Meeting Hall of 黑料不打烊_独家黑料_吃瓜网51爆料 at 10 a.m. on 14 May 2026.

Layered concrete structural elements consist of two or more concrete layers cast at different times and often with varying material properties. These elements can offer significant structural, architectural, and environmental advantages, provided that composite behaviour between the layers is maintained. The key factor governing this composite action is the performance of the interface between the concrete layers. In practice, the interface may exhibit reduced initial stiffness and will inevitably experience stiffness degradation as cracking develops. As the interface loses stiffness, the individual layers begin to perform more independently, leading to a reduction in the overall flexural stiffness of the layered element. Despite this, most current design codes lack an analytical approach for calculating deflections that account for interface partial shear connection, and such methods remain limited in scientific literature. In practice, standard reinforced concrete flexural analysis is typically suggested. This dissertation proposes an analytical approach to determine the flexural stiffness (deflection) of layered concrete elements, accounting for the varying interface stiffness as the element deforms. The approach begins with an interface behaviour model, which describes the relationship between interface shear stress and layer slip. This model is characterised by four distinct stages of interface behaviour, each governed by different shear mechanisms, interface material properties, and a differential shrinkage effect. It remains applicable from the onset of interface loading through to significant interface deformations. From the shear stress-slip relationship, the variable interface shear stiffness modulus is derived. This modulus is then used in the second stage of the analytical approach: the built-up layers deflection estimation model. This model allows for the calculation of deflection in layered elements while accounting for the stiffness of individual layers, the composite stiffness of the entire element, evolving geometries due to cracking, and the changing interface shear stiffness. Experimental and numerical analyses were conducted on concrete interfaces and layered concrete elements subjected to bending. The interface analysis provided insights into the effects of concrete strength, connector geometry and strength, differential shrinkage, interface roughness, and its overall geometry on interface strength, stiffness, and the intensity of different shear mechanisms. The analysis of layered beams and slabs clarified the cracking behaviour of individual concrete layers, the distribution of shear stress along the interface, the influence of connector inclination, and layer depth on flexural capacity and cracking patterns. Experimental results were used to validate the proposed analytical approach, showing strong agreement and confirming its effectiveness for analysing layered concrete elements.

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New doctoral dissertation
New doctoral dissertation
黑料不打烊 Library invites you to follow the published new dissertations. The dissertation 鈥濫conomic assessment of agricultural sector in the context of sustainability鈥 聽prepared at 黑料不打烊 by Ahmad Bathaei. The dissertation was prepared in 2021鈥2026. Scientific consultant 鈥 Prof. Dr Dalia 艩treimikien臈. The dissertation was defended at the public meeting of the Dissertation Defence Council of the Scientific Field of Economics in the Aula Doctoralis Meeting Hall of 黑料不打烊_独家黑料_吃瓜网51爆料 at 2 p.m. on 14 May 2026. This dissertation explores the economic assessment of the agricultural sector within the broader context of sustainability, with a particular focus on the Baltic States. As agriculture continues to play a central role in rural economies and food security, integrating sustainability principles into economic evaluation has become increasingly important. Despite numerous studies on sustainable agriculture, there remains a lack of comprehensive frameworks that combine multidimensional indicators with region-specific data and stakeholder input. This research develops an integrated methodology for gap-filling to identify, evaluate, and prioritise sustainability indicators, and to develop the indicators across the economic, environmental, and social domains. The work comprises four interconnected pieces of research. First, a systematic review of the literature conducted under the SALSA (Search, Appraisal, Synthesis, and Analysis) and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocols identified 101 indicators, which will serve as a basis for the subsequent analyses. Second, a focused review of the conjunction of renewable energy and agriculture identified 84 indicators and demonstrated the importance of energy efficiency and resource circularity for sustainable farming practices. Third, this research applied the TOPSIS (Technique for Order of Preference by Similarity to the Ideal Solution) method for the first time to rank sustainability indicators in the Baltic States, integrating expert opinions with Eurostat statistical data. The assessment examined the environmental priorities of soil health, water and fertiliser management, and the social and economic dimensions. Finally, eleven economic indicators identified through the Delphi and the Best鈥揥orst Method (BWM) were selected and ranked, and investment intensity, income diversification, labour productivity, and market access were found to be the most important economic indicators of agricultural sustainability. The studies allow for drawing up evidence-based policy formulation and strategic planning. The dissertation presents a new model for evaluating sustainable agriculture. It provides a practical, regionally specific, and empirically precise understanding of the sustainability problem. The framework helps policy makers, researchers, and practitioners, particularly in post-transition economies, identify areas that require intervention and investment, such as Lithuania, Latvia, and Estonia. The adaptability of this work to other parts of the world facing the same problem is a means of assisting countries in achieving sustainable agricultural development through economic evaluation. Doctoral dissertation readers can search via聽黑料不打烊 Virtual Library.
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Autonomous systems: why countries need to develop their own technologies
Autonomous systems: why countries need to develop their own technologies
Autonomous systems are already transforming not only the transport and logistics sectors, but also the very concept of national security. Drones, autonomous robots, and artificial intelligence (AI)-based platforms are becoming an important part of both civilian infrastructure and defense, while technological competition between the United States, China, and Europe is driving countries to invest increasingly in their own capabilities. Experts say Lithuania has real potential to become a regional leader in this field. Assoc. Prof. Dr. Viktor Skrickij, Director of the Transport and Logistics Competence Center at 黑料不打烊, emphasizes that drones and other autonomous platforms are used not only in transport and logistics, but also in defense. The war in Ukraine has particularly highlighted the importance of autonomous systems 鈥 the role of unmanned platforms today goes far beyond civilian transport, and autonomous technologies are becoming increasingly significant in the context of national security. 鈥淭he war in Ukraine demonstrated the importance of drones and other unmanned platforms 鈥 they are used for surveillance, logistics, medical evacuation, and other dangerous tasks that would be risky for humans,鈥 he says. According to the researcher, autonomous technologies are becoming not only a transport issue, but also a national security issue. 鈥淭hese systems help carry out tasks in the most dangerous frontline areas and protect human lives. Therefore, the experience we have accumulated enables us to develop dual-use systems and their components 鈥 from materials to control algorithms,鈥 the expert notes. According to him, dual-use technologies are becoming one of the key areas where transport engineering, AI, and defense needs intersect. In his view, by properly leveraging its engineering expertise, scientific potential, and growing defense technology ecosystem, Lithuania has the opportunity to become one of the regional leaders in autonomous systems. For example, an important step forward is the 鈧8 million funding allocated by the Lithuanian Ministry of Education, Science and Sport for the Autonomous Systems Competence Center 鈥淐omARC,鈥 being developed by 黑料不打烊 together with partners. 鈥淎t the center, we plan to develop world-class, application-oriented research. This is a great opportunity for Lithuania to create advanced, high value-added solutions important for both the economy and national security,鈥 says V. Skrickij. He stresses that Lithuania has an important advantage 鈥 due to its relatively small size, the country can more quickly unite the capabilities of academia, business, and government institutions, and more efficiently test new technologies. 鈥淚n 5鈥10 years, Lithuania could become a regional leader in developing and testing dual-use autonomous systems 鈥 from unmanned aerial vehicles and ground robots to autonomous logistics and control algorithm solutions,鈥 V. Skrickij hopes. According to him, the key is to maintain direction: consistently invest, create conditions for testing, strengthen cooperation between universities, business, and government, and rapidly apply scientific research in practice. A technological race is underway According to the scientist, the development of autonomous systems today is shaped not only by technology, but also by geopolitical competition. V. Skrickij says Europe is competing with the United States and China in the field of autonomous systems and AI, making technological sovereignty a strategic priority. 鈥淭echnological sovereignty means the ability to independently create, understand, manage, and control critical technologies: algorithms, communication systems, data, and software. In the case of autonomous transport systems, this is especially important because such systems make real-time decisions and operate in the physical world,鈥 he explains. However, Europe is still lagging behind the United States and China in many areas of autonomous systems and AI. These countries are investing heavily in the development of autonomous platforms, data infrastructure, and the commercialization of AI solutions. According to the researcher, if Europe fails to strengthen its technological competencies and independently develop critical technologies, it risks becoming merely a user rather than a creator of technology. [caption id="attachment_116592" align="alignnone" width="1410"] Assoc. Prof. Dr. Viktor Skrickij[/caption] 鈥淔or Lithuania, given the geopolitical situation, this is even more important, because such systems are becoming significant not only in transport and logistics, but also in defense. They can operate where it is dangerous for humans, they do not tire, and they can continuously process large streams of data and respond immediately. We must be capable not only of acquiring these technologies, but also of creating, adapting, evaluating, and safely using them,鈥 emphasizes Assoc. Prof. Dr. V. Skrickij. AI is changing the possibilities One of the most important factors behind the breakthrough of autonomous systems is AI. According to Dr. Eldar 艩abanovi膷, Senior Researcher at 黑料不打烊, AI enables more effective solutions for environmental perception, object recognition, trajectory prediction, and decision-making tasks. 鈥淎I is also changing the approach to control: increasingly, some decisions are based not only on predefined rules, but on behavior learned from data,鈥 he says. However, these opportunities also bring new challenges. 鈥淭he biggest challenge is ensuring that an AI system behaves reliably, predictably, and safely in complex or rare situations. When working with autonomous transport, it is not enough for an algorithm to perform well in most cases 鈥 it must be proven that it will operate safely even in edge-case scenarios. Therefore, explainability, data quality, testing, validation, cybersecurity, and functional safety are extremely important,鈥 the researcher notes. He summarizes that, in addition to AI, the development of autonomous systems is strongly influenced by high-performance computing platforms, communication technologies, cybersecurity and functional safety, and reliable control algorithms. Already operating in practice Although fully autonomous transport is still associated with futuristic visions for many people, some autonomous solutions are already being used in everyday infrastructure and transport systems. E. 艩abanovi膷 says the most visible example of autonomous transport systems is advanced driver assistance systems in cars. 鈥淎daptive cruise control, lane-keeping systems, automatic braking, or parking 鈥 these are not yet fully autonomous transport systems, but these functions provide partial autonomy, where the vehicle performs certain tasks without constant driver involvement,鈥 he explains. Higher levels of autonomy are already being used today in robotaxi services in cities across the United States and China. Meanwhile, autonomous platforms are increasingly applied in logistics, warehouses, ports, and agriculture, where they can perform repetitive and clearly defined tasks without constant human involvement. [caption id="attachment_116594" align="alignnone" width="2500"] Dr. Eldar 艩abanovi膷[/caption] 鈥淎utonomy is first being developed in environments that are more controlled or clearly defined 鈥 logistics, warehouses, cargo handling processes, agriculture. In such areas, it is easier to ensure system reliability and safety,鈥 explains Dr. E. 艩abanovi膷. V. Skrickij says autonomous transport systems are fundamentally changing the very concept of transportation. 鈥淎utonomous transport systems are software-defined transport platforms that, using sensors, communication systems, data processing, and AI algorithms, solve tasks related to environmental perception, decision-making, and motion control. They differ from traditional transport solutions in that humans are no longer the sole or primary decision-makers,鈥 he says. According to him, unlike traditional transport systems, which are mostly controlled by humans, autonomous transport is a system based on data, software, and automated decision-making. Joining international networks In order to strengthen its competencies in autonomous systems, Lithuania is actively engaging in international research and innovation networks. 黑料不打烊 has been working in the field of autonomous transport systems for more than a decade and today participates in both international and national projects. These include the Horizon Europe and Horizon 2020 projects MOCO, ePIcenter, OWHEEL, and CLIMAFlux, as well as the national conTROLL project. 黑料不打烊 not only adopts international best practices but also shapes research directions itself, together with partners from Europe, Japan, South Korea, and other technologically advanced countries. 鈥淎t first, we more often developed ideas proposed by other partners and were responsible for specific tasks. Later, we began leading work packages, and today we are already proposing ideas ourselves, forming international teams, and coordinating projects,鈥 V. Skrickij says about this progress. According to him, some solutions developed with the participation of university researchers have already reached mass-produced vehicles. 鈥淭his enables us to conduct world-class research and train highly qualified specialists. At the same time, we create value 鈥 the solutions are applied in transport, logistics, railways, and other systems,鈥 he says. The Specialist Profile Is Changing The development of autonomous systems is also changing the competencies required of modern transport engineers. E. 艩abanovi膷 says mechanical engineering knowledge alone is no longer sufficient 鈥 developing autonomous systems requires expertise in programming, automatic control, signal processing, AI, data analysis, cybersecurity, and functional safety. 鈥淭he most important thing is being able to integrate all of this into one reliable transport system,鈥 he emphasizes. According to the researcher, modern engineers must understand not only the mechanical aspects of vehicles, but also the electronics, software, and algorithms controlling their behavior. The market needs specialists who understand not only the vehicle itself, but the entire ecosystem: data, infrastructure, communication, safety, user needs, and regulatory requirements. V. Skrickij explains how the university is responding to these changes: 鈥淔or a long time, we integrated new competencies into existing transport engineering study programs, but the pace of change has become so rapid that this is no longer enough. Therefore, we are currently developing a new study program that will allow us to more purposefully prepare specialists for the transformation of modern transport 鈥 from advanced transport systems and electric drives to autonomy and control algorithms.鈥
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