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    <title>OAR@UM Community:</title>
    <link>https://www.um.edu.mt/library/oar/handle/123456789/403</link>
    <description />
    <pubDate>Wed, 21 Oct 2026 23:04:44 GMT</pubDate>
    <dc:date>2026-10-21T23:04:44Z</dc:date>
    <item>
      <title>Unpublished Mediterranean and Black Sea records of marine alien, cryptogenic, and neonative species (III)</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/150309</link>
      <description>Title: Unpublished Mediterranean and Black Sea records of marine alien, cryptogenic, and neonative species (III)
Authors: Pistevos, Jennifer C. A.; Zenetos, Argyro; Stranga, Yolanda; Teaca, Adrian; Begun, Tatiana; Trkov, Domen; Langeneck, Joachim; Muresan, Mihaela; Comas-González, Robert; Sempere-Valverde, Juan; Toso, Andrea; Chebaane, Sahar; Navarro-Barranco, Carlos; Rosso, Antonietta; Png-Gonzalez, Lydia; Giakoumi, Sylvaine; Vázquez-Luis, Maite; Cañizares-González, José Manuel; Siddiolo, Chiara; Donato, Gemma; Giacobbe, Salvatore; Carbonell, Aina; Zakhama-Sraieb, Rym; Di Martino, Emanuela; Ali Ammar, Izdihar; Cosentino, Andrea; Afifi, Intissar Mnasri; Sanfilippo, Rossana; Bitar, Ghazi; Kytinou, Eleni; Tari, Gokhan; Huseyinoglu, Mehmet Fatih; Gerakaris, Vasilis; Issaris, Yiannis; Lardi, Polytimi-Ioli; Oikonomidis, George; Salomidi, Maria; Tsirintanis, Konstantinos; Kleitou, Periklis; Constantinou, George; Michail, Christina; Bariche, Michel; Deidun, Alan; Marrone, Alessio; Ragkousis, Michail; Falautano, Manuela; Castriota, Luca; Morri, Carla; Bianchi, Carlo Nike; Skouradakis, Grigorios; Nash, Fiona Tomas; Digenis, Markos; Mancini, Emanuele; Stefanova, Elitsa Slaveva; Vella, Adriana; Vella, Noel; Vasileva Mihneva, Vesselina; Papadimitriou, Evangelos; Skolka, Marius; Stefanova, Kremena; Fortič, Ana; Garcia, Maria; Dailianis, Thanos; Tamburello, Laura; Surugiu, Victor; Stancanelli, Bessy; Di Martino, Vincenzo; Bosmali, Angeliki; Mavrič, Borut; Gerovasileiou, Vasilis; Kletou, Demetris; Crocetta, Fabio; Rallis, Ioannis; Evans, Julian; Altamirano, Maria; Cai, Leda Liyue; Taşkın, Ergün; Franzitta, Giulio; Sghaier, Yassine Ramzi; Kennedy, Abigail; Bartolo, Angela G.; Küpper, Frithjof C.; Rousou, Maria; Orenes-Salazar, Víctor; Bonifazi, Andrea; Hadjioannou, Louis; Vlantaridis, Zois; El Shaer, Hany; Çiftçioğlu, Mülkibar; Cerim, Hasan; Lipej, Lovrenc; Grech, Daniele; Zotou, Maria; Azzurro, Ernesto; Schembri, Patrick J.; Tiralongo, Francesco; Chatzigeorgiou, Georgios; Di Lorenzo, Manfredi; Vigo Fernandez, Maria; Di Franco, Antonio; Orlando-Bonaca, Martina; Calò, Antonio; Malefaki, Christina; García-Charton, Jose Antonio; Papadakis, Orestis; Yapıcı, Sercan; Tanduo, Valentina; D’Aniello, Ilaria; Munari, Marco; Kampouris, Thodoros E.; Putignano, Matteo; Virgili, Riccardo; Agius Darmanin, Sandra; Sardo, Giacomo; Calabrò, Monica; Nikolaou, Athanasios; Erga, Zinovia; Zogheib, Ali; Balistreri, Paolo; Çağlar, Senem; Yalgın, Ferhat; Osca, David; Gratsia, Eirini; Aglieri, Giorgio; Çinar, Melih Ertan; Mutalipassi, Mirko; Coco, Salvatore; Gkoulia, Andromachi; Ramos-Esplà, Alfonso A.; Mannino, Anna Maria; Dimichele, Desirèe; Spinelli, Simone; Arroyo Martínez, Elisa; Tursi, Andrea; Capasso, Annalisa; Christidis, Georgios; Solca, Michele; Rifi, Mouna; El Zrelli, Radhouan Belgacem; Bouhlel, Ramla; Scalera, Riccardo; Bandi, Ada; Reboa, Anna; Mazaris, Antonios; Bazairi, Hocein; Bertolino, Marco; Selfati, Mohamed; Sirchia, Benedetto; Georgiadis, Constantinos G.; Petricioli, Donat; Macaluso, Eleonora; D'Aniello, Enrico; Fotiadis, Nikolaos; Tezel, Rifat; Petović, Slavica; Bakran-Petricioli, Tatjana; Pitacco, Valentina; Colletti, Alberto; Bensari, Bilel; Bahbah, Lamia; D'Aniello, Salvatore; Psailas, Spiros; Kalogirou, Stefanos; Kaikai, Tarik; Forcada, Aitor; Manfredonia, Alessandro; Bottalico, Antonella; Valle, Carlos; Bedoret, Coline; Damalas, Dimitrios; Sacco, Domenico; Mollo, Ernesto; Iatrou, Foteini; Cerqueira, Frederique; Viard, Frédérique; Villani, Guido; Foulquié, Mathieu; Geraci, Michele Luca; Šiško, Miljan; Ocaña, Oscar; Dupuy de la Grandrive, Renaud; Vitale, Sergio; Rossi, Tullio; Samaha, Ziad; Aguilar, Ricardo; Alvarez, Helena; Menabit, Selma; Bianca Pavel, Ana; Azzola, Annalisa; Bos, Arthur R.; Anastasiadis, Athanasios; Blanco, Jorge; Lejeusne, Christophe; Coppola, Daniela; Davoult, Dominique; Faget, Daniel; Scannella, Danilo; Keppel, Erica; Falsone, Fabio; Palma Esposito, Fortunato; García, Silvia; Furfaro, Giulia; Zibrowius, Helmut; Iziani, Ibrahim; Anastasopoulou, Iro; Kavakakis, Konstantinos; Scavino, Leonardo; Merotto, Lorenzo; Yankova, Maria; Montefalcone, Monica; Leban, Neža; Ungaro, Nicola; Mariottini, Paolo; Perry, Allison L.; Stavrou, Petros; Mazzella, Valerio; Raykov, Violin; Ferrario, Jasmine; Stamouli, Caterina; Siapatis, Apostolos; Vernadou, Emmanouela; Bommarito, Claudia; Milisenda, Giacomo; Somma, Emanuele; Russo, Stefania; Katsanevakis, Stelios
Abstract: To enhance regional knowledge of invasive alien species (IAS), cryptogenic, and&#xD;
neonative species, this study compiles previously unpublished records from the&#xD;
Mediterranean and Black Seas via contributions from 227 marine experts. The&#xD;
open-access dataset includes 7,422 records from 21 countries, representing 275 taxa:&#xD;
222 Animalia, 44 Plantae, and 9 Chromista. Seventy-two percent of records were&#xD;
collected in 2021–2024 while most reports were from Lebanon, Greece, Cyprus,&#xD;
Italy, and Romania. The most frequently recorded species were Siganus luridus,&#xD;
S. rivulatus, Callinectes sapidus, Caulerpa cylindracea and Parupeneus forsskali.&#xD;
Several records are biogeographically notable: basin-level firsts include Dynoides&#xD;
amblysinus and Symplegma rubra, and the first confirmed occurrence of&#xD;
Malmgrenia mcintoshi. National firsts include Mesanthura cf. romulea, Mitrella&#xD;
psilla, and Syllis ergeni (Algeria); Exogone breviantennata, Jassa marmorata,&#xD;
Leodice antennata, and Syllis schulzi (Cyprus); Botrylloides niger and&#xD;
Polyandrocarpa zorritensis (Greece); Microcosmus exasperatus, Phallusia nigra,&#xD;
and Stypopodium schimperi (Italy); Chaetozone corona (Slovenia); Pseudodiaptomus&#xD;
marinus and Symplegma brakenhielmi (Spain); Aquilonastra burtoni, Siphonaria&#xD;
crenata, and Sphaeroma walkeri (Syria) and Distaplia bermudensis (Tunisia). In&#xD;
the Black Sea, Hydroides dianthus, Ferosagitta sp., and a zoea III of Palaemon&#xD;
macrodactylus are newly documented from Romanian waters. Beyond listing&#xD;
records, this compilation supports spatiotemporal analyses relevant to management.&#xD;
The sharp post-2021 increase reflects both species spread and intensified surveys,&#xD;
and habitat-labelled records include harbours/marinas and shellfish aquaculture&#xD;
settings, consistent with pathway hotspots. By revealing where and when detections&#xD;
concentrate—and which taxa dominate—these data can guide early detection, risk&#xD;
prioritization, and targeted biosecurity, while identifying under-reported coastlines.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.um.edu.mt/library/oar/handle/123456789/150309</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Practical analysis of decoy method in QKD over underwater optical fiber</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/150232</link>
      <description>Title: Practical analysis of decoy method in QKD over underwater optical fiber
Authors: Bacco, Davide; Ribezzo, Domenico; Zahidy, Mujtaba; De Lazzari, Claudia; Vagniluca, Ilaria; Petitjean, Antoine; Lemmi, Gianmarco; Occhipinti, Tommaso; Cataliotti, Francesco Saverio; Oxenløwee, Leif K.; Xuereb, Andre; Zavatta, Alessandro
Abstract: Quantum key distribution (QKD) is the first commercial application of the second quantum revolution. Although&#xD;
QKD systems have already been developed and implemented all around the world, some open challenges are&#xD;
limiting the overall deployment of this technology (limited key rate, limited link distance, etc.). By improving the&#xD;
current QKD protocols, it is possible to increase the final secret key generation rate. In this work, we compare&#xD;
1-decoy with 2-decoy methods in BB84 protocol over an underwater optical fiber link connecting Malta to Italy,&#xD;
showing that 2-decoy can achieve more than twice the key rate of 1-decoy method.</description>
      <pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.um.edu.mt/library/oar/handle/123456789/150232</guid>
      <dc:date>2023-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Optimal resolution tomography with error tracking and the structure of the crust and upper mantle beneath Ireland and Britain</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/150230</link>
      <description>Title: Optimal resolution tomography with error tracking and the structure of the crust and upper mantle beneath Ireland and Britain
Authors: Bonadio, Raffaele; Lebedev, Sergei; Meier, Thomas; Arroucau, Pierre; Schaeffer, Andrew J.; Licciardi, Andrea; Agius, Matthew R.; Horan, Clare; Collins, Louise; O’Reilly, Brian M.; Readman, Peter W.
Abstract: The classical Backus–Gilbert method seeks localized Earth-structure averages at the shortest&#xD;
length scales possible, given a data set, data errors, and a threshold for acceptable model&#xD;
errors. The resolving length at a point is the width of the local averaging kernel, and the&#xD;
optimal averaging kernel is the narrowest one such that the model error is below a specified&#xD;
level. This approach is well suited for seismic tomography, which maps 3-D Earth structure&#xD;
using large sets of seismic measurements. The continual measurement-error decreases and&#xD;
data-redundancy increases have reduced the impact of random errors on tomographic models.&#xD;
Systematic errors, however, are resistant to data redundancy and their effect on the model is&#xD;
difficult to predict. Here, we develop a method for finding the optimal resolving length at every&#xD;
point, implementing it for surface-wave tomography. As in the Backus–Gilbert method, every&#xD;
solution at a point results from an entire-system inversion, and the model error is reduced by&#xD;
increasing the model-parameter averaging. The key advantage of our method stems from its&#xD;
direct, empirical evaluation of the posterior model error at a point. We first measure inter&#xD;
station phase velocities at simultaneously recording station pairs and compute phase-velocity&#xD;
maps at densely, logarithmically spaced periods. Numerous versions of the maps with varying&#xD;
smoothness are then computed, ranging from very rough to very smooth. Phase-velocity curves&#xD;
extracted from the maps at every point can be inverted for shear-velocity (𝘝S) profiles. As&#xD;
we show, errors in these phase-velocity curves increase nearly monotonically with the map&#xD;
roughness. We evaluate the error by isolating the roughness of the phase-velocity curve that&#xD;
cannot be explained by any Earth structure and determine the optimal resolving length at a point&#xD;
such that the error of the local phase-velocity curve is below a threshold. A 3-D 𝘝 S model is then&#xD;
computed by the inversion of the composite phase-velocity maps with an optimal resolution&#xD;
at every point. The estimated optimal resolution shows smooth lateral variations, confirming&#xD;
the robustness of the procedure. Importantly, the optimal resolving length does not scale with&#xD;
the density of the data coverage: some of the best-sampled locations display relatively low&#xD;
lateral resolution, probably due to systematic errors in the data. We apply the method to image&#xD;
the lithosphere and underlying mantle beneath Ireland and Britain. Our very large data set&#xD;
was created using new data from Ireland Array, the Irish National Seismic Network, the UK&#xD;
Seismograph Network and other deployments. A total of 11238 inter-station dispersion curves,&#xD;
spanning a very broad total period range (4–500 s), yield unprecedented data coverage of the&#xD;
area and provide fine regional resolution from the crust to the deep asthenosphere. The lateral resolution of the 3-D model is computed explicitly and varies from 39 km in central Ireland to&#xD;
over 800 km at the edges of the area,wherethedatacoveragedeclines.Ourtomographyreveals&#xD;
pronounced, previously unknown variations in the lithospheric thickness beneath Ireland and&#xD;
Britain, with implications for their Caledonian assembly and for the mechanisms of the British&#xD;
Tertiary Igneous Province magmatism.</description>
      <pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.um.edu.mt/library/oar/handle/123456789/150230</guid>
      <dc:date>2021-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Sediment characterization at the equatorial mid-Atlantic ridge from P-to-S teleseismic phase conversions recorded on the PI-LAB experiment</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/150228</link>
      <description>Title: Sediment characterization at the equatorial mid-Atlantic ridge from P-to-S teleseismic phase conversions recorded on the PI-LAB experiment
Authors: Agius, Matthew R.; Harmon, N.; Rychert, C. A.; Tharimena, S.; Kendall, J.-M.
Abstract: Accurate marine sediment characteristics, for example, thickness and seismic velocity, are&#xD;
important for constraining sedimentation rates with implications for climate variations and for seismic&#xD;
imaging of deeper structures using ocean bottom seismic deployments. We analyze P-to-S seismic&#xD;
phase conversions from the sediment-crust boundary recorded by the Passive Imaging of the&#xD;
Lithosphere-Asthenosphere Boundary (PI-LAB) experiment to infer the sediment thickness across the&#xD;
Mid-Atlantic Ridge covering 0- to 80-Myr-old seafloor. We find Pds-P delay times of 0.04–0.37 s, or 5- to&#xD;
82-m thickness. Sediment thickness increases with age. Thickness agrees with global estimates for young&#xD;
(&lt;15–20 Myr) seafloor but is thinner on older lithosphere. Our result may represent a lower limit on&#xD;
sediment thickness, given that several of our stations are on topographic highs. The sedimentation rate&#xD;
decrease observed from 5 to 1.2 mm/kyr at ∼10 Myr suggests a recent increase in productivity related to&#xD;
climate change, eolian dust fluxes, and/or biogenic marine activity.; Studies on marine sediment production rate provide historical&#xD;
information on the past climates and sedimentation processes. Unfortunately, such data from the seafloor&#xD;
is sporadic across the oceans, limited to localized drilled sites and seismic profiles. Here we analyze the&#xD;
sediment characteristics along the equatorial Mid-Atlantic Ocean, starting from age 0 at the ridge to&#xD;
sediments 80 million years old. We use newly acquired seismic data from the recent state-of-the-art Passive&#xD;
Imaging of the Lithosphere-Asthenosphere Boundary experiment. Thirty-nine seismometers were put at the&#xD;
ocean bottom down to about 5,000 m below sea level and left recording seismic data for one year between&#xD;
2016 and 2017. Conversion of seismic phases from the boundary between the crust and the sediment were&#xD;
analyzed to determine the sediment seismic velocity and thickness below each station. It was found that&#xD;
the thickness increases with age at a slower rate than previously thought and that an abrupt increase in the&#xD;
sedimentation rate occurred in the last 10 million years, from 1.2 to 5 mm per thousand years. The recent&#xD;
increase in productivity may be due to factors such as changes in climate, changes in the eolian dust fluxes&#xD;
from Africa to the Atlantic, and/or changes in biogenic marine activity.</description>
      <pubDate>Mon, 01 Jan 2018 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.um.edu.mt/library/oar/handle/123456789/150228</guid>
      <dc:date>2018-01-01T00:00:00Z</dc:date>
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