Database.use.hdl: https://hdl.handle.net/20.500.14172/20963

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  • research article
    Cristina Ribaudo
    ;
    Sara Benelli
    ;
    Rossano Bolpagni
    ;
    Romane Darul
    ;
    Bartoli, Marco 
    Aquatic botany
    In eutrophic freshwater ecosystems, submerged macrophyte communities are replaced by phytoplankton or free-floating plants. In isolated wetlands, vegetation shift occurs over short time scales and leads to water deoxygenation and chemically reduced sediments, conditions that favor the generation, accumulation and degassing of greenhouse gases (GHGs, i.e. CH4, CO2 and N2O) to the atmosphere. However, the relationship between primary producer’s growth forms, hydrological connectivity and GHGs concentration is poorly studied in the literature. A set of 18 freshwater wetlands including isolated and river-connected oxbow lakes, marshes and ponds with different vegetation growth forms was therefore monitored monthly on the annual scale. Potential GHGs diffusive fluxes towards the atmosphere were calculated and compared with direct measurements reported in peer-reviewed papers within a meta-analysis. Our results demonstrate a strong link between the colonization of free-floating plants and the onset of hypoxic conditions and accumulation of dissolved methane. Methane and carbon dioxide concentration peaked in late summer, when floating-leaved and free-floating vegetation covered 100% of the water surface. Carbon dioxide accumulation was particularly evident at hydrological connected wetlands, where nitrate pollution was likely responsible for the concomitant increment of dissolved nitrous oxide. As an increasing number of studies focuses on unravelling environmental drivers of GHGs emission from small lakes and ponds, we encourage to systematically consider the vegetation growth forms and the hydrological connectivity as major drivers of GHGs accumulation and evasion rates.
      7WOS© IF 1.968WOS© AIF 3.844Scopus© SNIP 0.822
  • research article
    Jurkus, Robertas 
    ;
    Venskus, Julius 
    ;
    Treigys, Povilas
    Engineering applications of artificial intelligence
    According to the Global Maritime Insurance annual report, among human and non-human risk factors, the number of accidents in maritime transport remains a significant issue. One of the factors is vessel collisions and anomalies at sea. Massive historical data from automatic identification systems are analyzed, and intelligent transportation systems are being developed to solve the problem of vessel trajectory prediction. The most ordinary attempt to improve accuracy is by evaluating the historical vessel behavior and learning the patterns and similarities of the predicted vessel movements. However, this paper shows that a better forecast also may be reached by choosing a different trajectory calculation strategy. The geographical or polar coordinate system values are used in a classical way, but several modifications, such as Universal Transverse Mercator (UTM), have been proposed in this study as an alternative to Mercator’s projection coordinates. Two main positioning of the vessels motion transformations were tested: by changing the coordinates to measurements of the angular distance (haversine) and displacement angle (azimuth) functions between different time steps; degree coordinates transformation into a Cartesian system using UTM with vector subtraction. The last case improves the accuracy of almost 30% in the available data sample by using the autoencoder architecture, compared to the longitude and latitude predictions even with computed delta features. The research generally compared three recurrent network architectures (with their hyperparameter – cell sizes): Autoencoder Long Short-Term Memory, Bi-directional Long Short-Term Memory, and Gated Recurrent Unit networks. The model calculations are performed in a real historical dataset, exclusively on cargo vessel type trajectories in the Netherlands (North Sea) coastal region. Also, the methods were validated in another dataset of the Baltic Sea Region.
      5WOS© IF 7.802WOS© AIF 4.684Scopus© SNIP 2.301
  • journal article
    Jankunas, Rimas
    ;
    Sakalauskas, Leonidas 
    ;
    Zamaryte-Sakaviciene, Kristina
    ;
    Donatas Stakisaitis
    ;
    Migle Helmersen
    Journal of infection
      14WOS© IF 38.637WOS© AIF 7.44Scopus© SNIP 4.207
  • research article
    Bagdzevičienė, Jurga 
    ;
    Pudžaitis, Vaidas
    ;
    Bliujienė, Audronė 
    ;
    Petrauskas, Gediminas 
    Journal of archaeological science: reports
    The aim of this paper is to combine several instrumental analysis methods (scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM-EDX), Fourier transform infrared spectroscopy (FT-IR), optical microscopy and radiography) for a comprehensive investigation of the enamel-decorated drinking horn handle found in Maudžiorai cemetery in western Lithuania. The drinking horn is completed by a beaker-shaped terminal. The drinking horn handle is made of tin rich copper alloy, overlaid with silver and decorated with red, white and black enamel using champlevé enamelling. All the details are of a high quality and correspond to the most up-to-date style of the time. The results of the research include assessment of artefact survival, analysis of the elemental composition of the copper alloy and enamel, description of the technology involved in the production, including silver-coating, and the evaluation of the archaeological context of this exceptional artefact. The overall results of the instrumental analysis methods and the assessment of the archaeological material allow the enamelled handle of the drinking horn under study to be analysed both in the light of the technology employed by the barbarian enamelling centres of northern and eastern Europe and in the context of its uniqueness in the eastern Baltic Sea region. The complex research on the piece highlights both the ability of jewellers of the first half of the 3rd century CE to master the complex techniques of champlevé enamelling and silver-coating.
      6Scopus© SNIP 0.971
  • research article
    Drungilas, Darius 
    ;
    Kurmis, Mindaugas 
    ;
    Senulis, Audrius 
    ;
    Lukošius, Žydrūnas 
    ;
    Andziulis, Arūnas 
    ;
    Janutėnienė, Jolanta 
    ;
    Bogdevičius, Marijonas 
    ;
    Jankūnas, Valdas 
    ;
    Voznak, Miroslav 
    Alexandria engineering journal
    The energy efficiency of port container terminal equipment and the reduction of CO2 emissions are among one of the biggest challenges facing every seaport in the world. The article presents the modeling of the container transportation process in a terminal from the quay crane to the stack using battery-powered Automated Guided Vehicle (AGV) to estimate the energy consumption parameters. An AGV speed control algorithm based on Deep Reinforcement Learning (DRL) is proposed to optimize the energy consumption of container transportation. The results obtained and compared with real transportation measurements showed that the proposed DRL-based approach dynamically changing the driving speed of the AGV reduces energy consumption by 4.6%. The obtained results of the research provide the prerequisites for further research in order to find optimal strategies for autonomous vehicle movement including context awareness and information sharing with other vehicles in the terminal.
      62  1Scopus© Citations 1WOS© IF 6.626WOS© AIF 3.684Scopus© SNIP 2.102
  • research article
    Zikarienė, Eglė 
    ;
    Dučinskas, Kęstutis 
    Spatial statistics
    In this paper, a supervised classification problem of classifying feature observation into one of two populations is considered. Classical supervised classification in this work is expanded for non-Gaussian spatial data specified by zero inflated auto-beta models. A classification rule based on the Bayes discriminant function (BDF) that uses conditional probability density functions in the expression is proposed. This rule is applied to real data set for identifying sea bottom type by using Black carrageen concentration data over the southeastern Baltic Sea. Different feature observation models are chosen and classification results are compared using a hold-out error rate measure.
      19WOS© IF 2.125WOS© AIF 3.749Scopus© SNIP 1.356
  • research article
    Cogliati, M.
    ;
    Arikan-Akdagli, S.
    ;
    Barac, A.
    ;
    Bostanaru, A.C.
    ;
    S. Brito
    ;
    Çerikçioğlu, N.
    ;
    Efstratiou, M.A.
    ;
    Ergin, Ç.
    ;
    Esposto, M.C.
    ;
    M. Frenkel
    ;
    Gangneux, J.P.
    ;
    Gitto, A.
    ;
    Gonçalves, C.I.
    ;
    Guegan, H.
    ;
    Gunde-Cimerman, N.
    ;
    Güra, M.
    ;
    Radzevičė, Eglė 
    ;
    Kataržytė, Marija 
    ;
    Klingspor, L.
    ;
    M. Mares
    ;
    Meijer, W.G.
    ;
    Melchers, W.J.G.
    ;
    Meletiadis, J.
    ;
    Nastasa, V.
    ;
    Novak Babič, M.
    ;
    Ogunc, D.
    ;
    Ozhak, B.
    ;
    Prigitano, A.
    ;
    Ranque, S.
    ;
    Romanò, L.
    ;
    Rusu, R.O.
    ;
    Sabino, R.
    ;
    A. Sampaio
    ;
    S. Silva
    ;
    Stephens, J.H.
    ;
    Tehupeiory-Kooreman, M.
    ;
    Velegraki, A.
    ;
    Veríssimo, C.
    ;
    E. Segal
    ;
    J. Brandão
    Science of The Total Environment
    The present study employed data collected during the Mycosands survey to investigate the environmental factors influencing yeasts and molds distribution along European shores applying a species distribution modelling approach. Occurrence data were compared to climatic datasets (temperature, precipitation, and solar radiation), soil datasets (chemical and physical properties), and water datasets (temperature, salinity, and chlorophyll-a concentration) downloaded from web databases. Analyses were performed by MaxEnt software. Results suggested a different probability of distribution of yeasts and molds along European shores. Yeasts seem to tolerate low temperatures better during winter than molds and this reflects a higher suitability for the Northern European coasts. This difference is more evident considering suitability in waters. Both distributions of molds and yeasts are influenced by basic soil pH, probably because acidic soils are more favorable to bacterial growth. Soils with high nitrogen concentrations are not suitable for fungal growth, which, in contrast, are optimal for plant growth, favored by this environment. Finally, molds show affinity with soil rich in nickel and yeasts with soils rich in cadmium resulting in a distribution mainly at the mouths of European rivers or lagoons, where these metals accumulate in river sediments.
      32Scopus© Citations 1WOS© IF 10.754WOS© AIF 6.309Scopus© SNIP 2.175
  • research article
    Bagočius, Donatas 
    ;
    Narščius, Aleksas 
    Marine pollution bulletin
    Aquatic animals rely on sound to communicate, navigate, prey, or avoid predation in turbid waters. The acoustic environment of their habitats plays an important role in their life, i.e. the fishes understand the environment using sound. Documented studies provide data indicating that marine habitats can be altered by anthropogenic noise, due to which marine life can be affected. The nearshore and the areas of harbours are usually predominated by the high sound pressure levels of anthropogenic origin resulting from frequent passages of pleasure vessels and other kind of ships nearby. These high levels no doubt can cause the risk of negative effects on marine life inhabited or migrating through nearshore and harbour areas. With the aim to assess the underwater sound levels at Klaipėda harbour area, underwater acoustic measurements were implemented. The obtained results indicate that the Klaipeda harbour is affected by the anthropogenic underwater noise and long-term noise monitoring may be useful to assess the trends of prevailing underwater noise in this area. In this paper, the results of the continuous underwater sound level measurements along with the analysis of the influence of anthropogenic sources and environmental factors on prevailing soundscape are presented; the risks of negative effects of elevated underwater noise levels on fish species and possible underwater noise measures are shortly discussed.
      17WOS© IF 7.001WOS© AIF 4.885Scopus© SNIP 1.517
  •   27WOS© IF 3.229WOS© AIF 3.274Scopus© SNIP 1.133
  • research article
    Abromaitis, V.
    ;
    Svaikauskaite, J.
    ;
    Sulciute, A.
    ;
    Sinkeviciute, D.
    ;
    Zmuidzinaviciene, N.
    ;
    Misevicius, S.
    ;
    Tichonovas, M.
    ;
    Urniezaite, I.
    ;
    Jankunaite, D.
    ;
    Urbonavicius, M.
    ;
    Varnagiris, S.
    ;
    Dzingelevičienė, Reda 
    ;
    Baranauskis, K.
    ;
    Martuzevicius, D.
    Journal of environmental management, p. 1-14
    The purpose of this study was to evaluate the performance of synthesized TiO2 nanotube arrays (NTAs) for the removal of the COVID-19 aided antibiotic ciprofloxacin (CIP) and the textile dye methylene blue (MB) from model wastewater. Synthesis of TiO2 NTAs showed that anodization potential and calcination temperatures directly influence nanotube formation. The increased anodization potential from 10 to 40 V resulted in the development of larger porous nanotubes with a diameter of 36–170 nm, while the collapse of the tubular structure was registered at the highest applied potential. Furthermore, it was found that the 500 °C calcination temperature was the most prominent for the formation of the most photocatalytically active TiO2 NTAs, due to the optimal anatase/rutile ratio of 4.60. The degradation of both model compounds was achieved with all synthesized TiO2 NTAs; however, the most photocatalytically active NTA sample was produced at 30 V and 500 °C. Compared to photocatalysis, CIP degradation was greatly enhanced by 5–25 times when ozone was introduced to the photocatalytic cell (rates 0.4–4.2 × 10−1 min−1 versus 0.07–0.2 × 10−1 min−1). This resulted in the formation of CIP degradation by-products, with different mass-to-charge ratios from [M+H]+ 346 to 273 m/z. Even though the CIP degradation pathway is rather complex, three main mechanisms, decarboxylation, hydroxylation reaction, and piperazine ring cleavage, were proposed and explained. Furthermore, treated samples were placed in contact with the crustaceans Daphnia magna. It was found that 100% mortality was achieved when approximately 60% of the remaining TOC was present in the samples, indicating that toxic degradation by-products were formed.
      9Scopus© Citations 6WOS© IF 8.91WOS© AIF 6.309Scopus© SNIP 1.907