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100,356 results on '"Papadopoulos A"'

210. Regional patterns of human cortex development correlate with underlying neurobiology

Author

Lotter, Leon D., Saberi, Amin, Hansen, Justine Y., Misic, Bratislav, Paquola, Casey, Barker, Gareth J., Bokde, Arun L. W., Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Brühl, Rüdiger, Martinot, Jean-Luc, Paillère, Marie-Laure, Artiges, Eric, Papadopoulos Orfanos, Dimitri, Paus, Tomáš, Poustka, Luise, Hohmann, Sarah, Fröhner, Juliane H., Smolka, Michael N., Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Schumann, Gunter, Nees, Frauke, Banaschewski, Tobias, Eickhoff, Simon B., and Dukart, Juergen

Published
2024
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213. Investigating grey matter volumetric trajectories through the lifespan at the individual level

Author

Shi, Runye, Xiang, Shitong, Jia, Tianye, Robbins, Trevor W., Kang, Jujiao, Banaschewski, Tobias, Barker, Gareth J., Bokde, Arun L. W., Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Brühl, Rüdiger, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Artiges, Eric, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Poustka, Luise, Hohmann, Sarah, Millenet, Sabina, Fröhner, Juliane H., Smolka, Michael N., Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Schumann, Gunter, Lin, Xiaolei, Sahakian, Barbara J., and Feng, Jianfeng

Published
2024
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230. Early management of adult traumatic spinal cord injury in patients with polytrauma: a consensus and clinical recommendations jointly developed by the World Society of Emergency Surgery (WSES) & the European Association of Neurosurgical Societies (EANS)

Author

Picetti, Edoardo, Demetriades, Andreas K., Catena, Fausto, Aarabi, Bizhan, Abu-Zidan, Fikri M., Alves, Oscar L., Ansaloni, Luca, Armonda, Rocco A., Badenes, Rafael, Bala, Miklosh, Balogh, Zsolt J., Barbanera, Andrea, Bertuccio, Alessandro, Biffl, Walter L., Bouzat, Pierre, Buki, Andras, Castano-Leon, Ana Maria, Cerasti, Davide, Citerio, Giuseppe, Coccolini, Federico, Coimbra, Raul, Coniglio, Carlo, Costa, Francesco, De Iure, Federico, Depreitere, Bart, Fainardi, Enrico, Fehlings, Michael J., Gabrovsky, Nikolay, Godoy, Daniel Agustin, Gruen, Peter, Gupta, Deepak, Hawryluk, Gregory W. J., Helbok, Raimund, Hossain, Iftakher, Hutchinson, Peter J., Iaccarino, Corrado, Inaba, Kenji, Ivanov, Marcel, Kaprovoy, Stanislav, Kirkpatrick, Andrew W., Klein, Sam, Kolias, Angelos, Konovalov, Nikolay A., Lagares, Alfonso, Lippa, Laura, Loza-Gomez, Angelica, Luoto, Teemu M., Maas, Andrew I. R., Maciejczak, Andrzej, Maier, Ronald V., Marklund, Niklas, Martin, Matthew J., Melloni, Ilaria, Mendoza-Lattes, Sergio, Meyfroidt, Geert, Munari, Marina, Napolitano, Lena M., Okonkwo, David O., Otomo, Yasuhiro, Papadopoulos, Marios C., Petr, Ondra, Peul, Wilco C., Pudkrong, Aichholz K., Qasim, Zaffer, Rasulo, Frank, Reizinho, Carla, Ringel, Florian, Rizoli, Sandro, Rostami, Elham, Rubiano, Andres M., Russo, Emanuele, Sarwal, Aarti, Schwab, Jan M., Servadei, Franco, Sharma, Deepak, Sharif, Salman, Shiban, Ehab, Shutter, Lori, Stahel, Philip F., Taccone, Fabio S., Terpolilli, Nicole A., Thomé, Claudius, Toth, Peter, Tsitsopoulos, Parmenion P., Udy, Andrew, Vaccaro, Alexander R., Varon, Albert J., Vavilala, Monica S., Younsi, Alexander, Zackova, Monika, Zoerle, Tommaso, and Robba, Chiara

Published
2024
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231. Seawater physics and chemistry along the Med-SHIP transects in the Mediterranean Sea in 2016

Author

Schroeder, Katrin, Kovačević, Vedrana, Civitarese, Giuseppe, Velaoras, Dimitris, Álvarez, Marta, Tanhua, Toste, Jullion, Loïc, Coppola, Laurent, Bensi, Manuel, Ursella, Laura, Santinelli, Chiara, Giani, Michele, Chiggiato, Jacopo, Aly-Eldeen, Mohamed, Assimakopoulou, Georgia, Bachi, Giancarlo, Bogner, Boie, Borghini, Mireno, Cardin, Vanessa, Cornec, Marin, Giannakourou, Antonia, Giannoudi, Louisa, Gogou, Alexandra, Golbol, Melek, Hazan, Or, Karthäuser, Clarissa, Kralj, Martina, Krasakopoulou, Evangelia, Matić, Frano, Mihanović, Hrvoje, Muslim, Stipe, Papadopoulos, Vassilis P., Parinos, Constantine, Paulitschke, Anne, Pavlidou, Alexandra, Pitta, Elli, Protopapa, Maria, Rahav, Eyal, Raveh, Ofrat, Renieris, Panagiotis, Reyes-Suarez, Nydia C., Rousselaki, Eleni, Silverman, Jacop, Souvermezoglou, Ekaterini, Urbini, Lidia, Zeri, Christina, and Zervoudaki, Soultana

Published
2024
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234. TRBC1-targeting antibody–drug conjugates for the treatment of T cell cancers

Author

Nichakawade, Tushar D., Ge, Jiaxin, Mog, Brian J., Lee, Bum Seok, Pearlman, Alexander H., Hwang, Michael S., DiNapoli, Sarah R., Wyhs, Nicolas, Marcou, Nikita, Glavaris, Stephanie, Konig, Maximilian F., Gabelli, Sandra B., Watson, Evangeline, Sterling, Cole, Wagner-Johnston, Nina, Rozati, Sima, Swinnen, Lode, Fuchs, Ephraim, Pardoll, Drew M., Gabrielson, Kathy, Papadopoulos, Nickolas, Bettegowda, Chetan, Kinzler, Kenneth W., Zhou, Shibin, Sur, Surojit, Vogelstein, Bert, and Paul, Suman

Published
2024
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235. The genetic architecture of the human hypothalamus and its involvement in neuropsychiatric behaviours and disorders

Author

Chen, Shi-Dong, You, Jia, Zhang, Wei, Wu, Bang-Sheng, Ge, Yi-Jun, Xiang, Shi-Tong, Du, Jing, Kuo, Kevin, Banaschewski, Tobias, Barker, Gareth J., Bokde, Arun L. W., Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Brühl, Rüdiger, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Artiges, Eric, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Lemaitre, Herve, Paus, Tomáš, Poustka, Luise, Hohmann, Sarah, Millenet, Sabina, Baeuchl, Christian, Smolka, Michael N., Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Schumann, Gunter, Feng, Jian-Feng, Dong, Qiang, Cheng, Wei, and Yu, Jin-Tai

Published
2024
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241. Identification of direct connections between the dura and the brain

Author

Smyth, Leon C. D., Xu, Di, Okar, Serhat V., Dykstra, Taitea, Rustenhoven, Justin, Papadopoulos, Zachary, Bhasiin, Kesshni, Kim, Min Woo, Drieu, Antoine, Mamuladze, Tornike, Blackburn, Susan, Gu, Xingxing, Gaitán, María I., Nair, Govind, Storck, Steffen E., Du, Siling, White, Michael A., Bayguinov, Peter, Smirnov, Igor, Dikranian, Krikor, Reich, Daniel S., and Kipnis, Jonathan

Published
2024
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246. W-symmetries, anomalies and heterotic backgrounds with SU holonomy

Author

Grimanellis, L., Papadopoulos, G., and Perez-Bolanos, E.

Subjects
High Energy Physics - Theory
Abstract

We show that the sigma models with target spaces supersymmetric heterotic backgrounds with $SU(2)$ and $SU(3)$ holonomy are invariant under a W-symmetry algebra generated by the covariantly constant forms of these backgrounds. The closure of the W-algebra requires additional generators which we identify. We prove that the chiral anomalies of all these symmetries are consistent at one-loop in perturbation theory. We also demonstrate that these anomalies cancel at the same loop level either by adding suitable finite local counterterms in the sigma model effective action or by assuming a plausible quantum correction to the transformations. Such a correction is compatible with both the cancellation mechanism for spacetime frame rotation and gauge transformation anomalies, and the correction to the heterotic supergravity up to two loops in the sigma model perturbation theory., Comment: 32 pages

Published
2023

247. Neural Natural Language Processing for Long Texts: A Survey on Classification and Summarization

Author

Tsirmpas, Dimitrios, Gkionis, Ioannis, Papadopoulos, Georgios Th., and Mademlis, Ioannis

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, I.2.7
Abstract

The adoption of Deep Neural Networks (DNNs) has greatly benefited Natural Language Processing (NLP) during the past decade. However, the demands of long document analysis are quite different from those of shorter texts, while the ever increasing size of documents uploaded online renders automated understanding of lengthy texts a critical issue. Relevant applications include automated Web mining, legal document review, medical records analysis, financial reports analysis, contract management, environmental impact assessment, news aggregation, etc. Despite the relatively recent development of efficient algorithms for analyzing long documents, practical tools in this field are currently flourishing. This article serves as an entry point into this dynamic domain and aims to achieve two objectives. First of all, it provides an introductory overview of the relevant neural building blocks, serving as a concise tutorial for the field. Secondly, it offers a brief examination of the current state-of-the-art in two key long document analysis tasks: document classification and document summarization. Sentiment analysis for long texts is also covered, since it is typically treated as a particular case of document classification. Consequently, this article presents an introductory exploration of document-level analysis, addressing the primary challenges, concerns, and existing solutions. Finally, it offers a concise definition of "long text/document", presents an original overarching taxonomy of common deep neural methods for long document analysis and lists publicly available annotated datasets that can facilitate further research in this area., Comment: 65 pages, 11 figures, 5 tables

Published
2023
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248. Supercurrent mediated by helical edge modes in bilayer graphene

Author

Rout, Prasanna, Papadopoulos, Nikos, Peñaranda, Fernando, Watanabe, Kenji, Taniguchi, Takashi, Prada, Elsa, San-Jose, Pablo, and Goswami, Srijit

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics
Abstract

Bilayer graphene encapsulated in tungsten diselenide can host a weak topological phase with pairs of helical edge states. The electrical tunability of this phase makes it an ideal platform to investigate unique topological effects at zero magnetic field, such as topological superconductivity. Here we couple the helical edges of such a heterostructure to a superconductor. The inversion of the bulk gap accompanied by helical states near zero displacement field leads to the suppression of the critical current in a Josephson geometry. Using superconducting quantum interferometry we observe an even-odd effect in the Fraunhofer interference pattern within the inverted gap phase. We show theoretically that this effect is a direct consequence of the emergence of helical modes that connect the two edges of the sample. The absence of such an effect at high displacement field, as well as in bare bilayer graphene junctions, confirms this interpretation and demonstrates the topological nature of the inverted gap. Our results demonstrate the coupling of superconductivity to zero-field topological states in graphene., Comment: 13 pages, 14 figures

Published
2023
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249. New phenomena beyond Spontaneous Symmetry Breaking

Author

Contoyiannis, Y., Papadopoulos, P., Matiadou, L., Stavrinides, S. G., Hanias, M., and Potirakis, S. M.

Subjects
Condensed Matter - Statistical Mechanics, Physics - Computational Physics
Abstract

It is known that in thermal systems of finite size that are subject to second order phase transitions and until the spontaneous symmetry breaking is completed, the fluctuations of the order parameter obey to the dynamics of critical intermittency. Beyond the SSB, critical intermittency does not hold. Thus, it is not expected that the distribution of the waiting times in the order parameter timeseries would hold any power law. However we reveal for the first time that right after the SSB, power laws still exist within a small zone of temperatures. These power laws emerge due to another form of intermittency that determines the dynamics of the order parameter fluctuations in the beginning of the tricritical crossover, without this crossover ever being completed in a first order phase transition. In the work pesented hereby, we present and explain this change of the dynamics of the order parameter fluctuations, as the temperature drops under the temperature of the SSB. Finally, it is mentioned that such a phenomenon has been already observed in preseismic processes.

Published
2023

250. Illicit item detection in X-ray images for security applications

Author

Batsis, Georgios, Mademlis, Ioannis, and Papadopoulos, Georgios Th.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Automated detection of contraband items in X-ray images can significantly increase public safety, by enhancing the productivity and alleviating the mental load of security officers in airports, subways, customs/post offices, etc. The large volume and high throughput of passengers, mailed parcels, etc., during rush hours make it a Big Data analysis task. Modern computer vision algorithms relying on Deep Neural Networks (DNNs) have proven capable of undertaking this task even under resource-constrained and embedded execution scenarios, e.g., as is the case with fast, single-stage, anchor-based object detectors. This paper proposes a two-fold improvement of such algorithms for the X-ray analysis domain, introducing two complementary novelties. Firstly, more efficient anchors are obtained by hierarchical clustering the sizes of the ground-truth training set bounding boxes; thus, the resulting anchors follow a natural hierarchy aligned with the semantic structure of the data. Secondly, the default Non-Maximum Suppression (NMS) algorithm at the end of the object detection pipeline is modified to better handle occluded object detection and to reduce the number of false predictions, by inserting the Efficient Intersection over Union (E-IoU) metric into the Weighted Cluster NMS method. E-IoU provides more discriminative geometrical correlations between the candidate bounding boxes/Regions-of-Interest (RoIs). The proposed method is implemented on a common single-stage object detector (YOLOv5) and its experimental evaluation on a relevant public dataset indicates significant accuracy gains over both the baseline and competing approaches. This highlights the potential of Big Data analysis in enhancing public safety.

Published
2023

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