TY - JOUR AU - Litvinova, Yulia AU - Merkur, Sherry AU - Allin, Sara AU - Angulo-Pueyo, Ester AU - Behmane, Daiga AU - Bernal-Delgado, Enrique AU - Dalmas, Miriam AU - De Belvis, Antonio AU - Edwards, Nigel AU - Estupiñán-Romero, Francisco AU - Gaál, Péter AU - Gerkens, Sophie AU - Jamieson, Margaret AU - Morsella, Alisha AU - Picecchi, Dario AU - Røshol, Hilde AU - Saunes, Ingrid Sperre AU - Sullivan, Terry AU - Szécsényi-Nagy, Balázs AU - Vijver, Inneke Van De AU - Walter, Ricciardi AU - Panteli, Dimitra TI - Availability and financing of CAR-T cell therapies: A cross-country comparative analysis JF - HEALTH POLICY J2 - HEALTH POLICY VL - 149 PY - 2024 PG - 10 SN - 0168-8510 DO - 10.1016/j.healthpol.2024.105153 UR - https://m2.mtmt.hu/api/publication/35262204 ID - 35262204 LA - English DB - MTMT ER - TY - JOUR AU - Rice, T. AU - Vrangbæk, K. AU - Saunes, I.S. AU - Bouckaert, N. AU - Bryndová, L. AU - Cascini, F. AU - Võrk, A. AU - Dimova, A. AU - Kocot, E. AU - Murauskiene, L. AU - Bricard, D. AU - Blumel, M. AU - Gaál, Péter AU - Pažitný, P. TI - Can revenue collection for public funding in health care be progressive? An assessment of 29 Countries JF - HEALTH POLICY J2 - HEALTH POLICY VL - 148 PY - 2024 PG - 10 SN - 0168-8510 DO - 10.1016/j.healthpol.2024.105147 UR - https://m2.mtmt.hu/api/publication/35199513 ID - 35199513 LA - English DB - MTMT ER - TY - JOUR AU - Becsei, Ágnes AU - Fuschi, Alessandro AU - Otani, Saria AU - Kant, Ravi AU - Weinstein, Ilja AU - Alba, Patricia AU - Stéger, József AU - Visontai, David AU - Brinch, Christian AU - de Graaf, Miranda AU - Schapendonk, Claudia M. E. AU - Battisti, Antonio AU - De Cesare, Alessandra AU - Oliveri, Chiara AU - Troja, Fulvia AU - Sironen, Tarja AU - Vapalahti, Olli AU - Pasquali, Frédérique AU - Bányai, Krisztián AU - Makó, Magdolna AU - Pollner, Péter AU - Merlotti, Alessandra AU - Koopmans, Marion AU - Csabai, István AU - Remondini, Daniel AU - Aarestrup, Frank M. AU - Munk, Patrick TI - Time-series sewage metagenomics distinguishes seasonal, human-derived and environmental microbial communities potentially allowing source-attributed surveillance JF - NATURE COMMUNICATIONS J2 - NAT COMMUN VL - 15 PY - 2024 IS - 1 PG - 13 SN - 2041-1723 DO - 10.1038/s41467-024-51957-8 UR - https://m2.mtmt.hu/api/publication/35196419 ID - 35196419 LA - English DB - MTMT ER - TY - JOUR AU - Kenesei-Kalló, Andrea Dóra AU - Joó, Tamás AU - Mikesy, Gergely AU - Jóni, András Dániel AU - Pénzes, Melinda TI - „Egészségpart” mobil nyári szűrő- és egészségedukációs programsorozat: népegészségügyi megfontolások JF - NÉPEGÉSZSÉGÜGY J2 - NÉPEGÉSZSÉGÜGY VL - 101 PY - 2024 IS - 2 SP - 150 EP - 151 PG - 2 SN - 0369-3805 UR - https://m2.mtmt.hu/api/publication/35195352 ID - 35195352 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Jóni, András Dániel AU - Pénzes, Melinda AU - Cselkó, Zsuzsa AU - Hajnes, József AU - Rákosy-Vokó, Zsuzsa TI - Dohányzás- és nikotinmentes kórházi stratégia kialakítása a Bethesda Gyermekkórházban JF - NÉPEGÉSZSÉGÜGY J2 - NÉPEGÉSZSÉGÜGY VL - 101 PY - 2024 IS - 2 SP - 147 EP - 147 PG - 1 SN - 0369-3805 UR - https://m2.mtmt.hu/api/publication/35195341 ID - 35195341 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Pénzes, Melinda AU - Joó, Tamás TI - Innovatív lehetőségek a dohányzás visszaszorításában JF - NÉPEGÉSZSÉGÜGY J2 - NÉPEGÉSZSÉGÜGY VL - 101 PY - 2024 IS - 2 SP - 146 EP - 146 PG - 1 SN - 0369-3805 UR - https://m2.mtmt.hu/api/publication/35195291 ID - 35195291 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Rákosy, Zsuzsa AU - Hajnes, József AU - Pénzes, Melinda AU - Velkey, György TI - Játékosan a kórházi dolgozók egészségéért: „Országos Kórházi Egészségkihívás” JF - NÉPEGÉSZSÉGÜGY J2 - NÉPEGÉSZSÉGÜGY VL - 101 PY - 2024 IS - 2 SP - 127 EP - 128 PG - 2 SN - 0369-3805 UR - https://m2.mtmt.hu/api/publication/35195278 ID - 35195278 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Kovács, Bianka AU - Kojaku, Sadamori AU - Palla, Gergely AU - Fortunato, Santo TI - Iterative embedding and reweighting of complex networks reveals community structure JF - SCIENTIFIC REPORTS J2 - SCI REP VL - 14 PY - 2024 IS - 1 PG - 17 SN - 2045-2322 DO - 10.1038/s41598-024-68152-w UR - https://m2.mtmt.hu/api/publication/35161343 ID - 35161343 N1 - Export Date: 26 August 2024 Correspondence Address: Palla, G.; Department of Biological Physics, Pázmány P. stny. 1/A, Hungary; email: gergely.palla@emk.semmelweis.hu AB - Graph embeddings learn the structure of networks and represent it in low-dimensional vector spaces. Community structure is one of the features that are recognized and reproduced by embeddings. We show that an iterative procedure, in which a graph is repeatedly embedded and its links are reweighted based on the geometric proximity between the nodes, reinforces intra-community links and weakens inter-community links, making the clusters of the initial network more visible and more easily detectable. The geometric separation between the communities can become so strong that even a very simple parsing of the links may recover the communities as isolated components with surprisingly high precision. Furthermore, when used as a pre-processing step, our embedding and reweighting procedure can improve the performance of traditional community detection algorithms. LA - English DB - MTMT ER - TY - JOUR AU - Lengyel, Balázs Csaba AU - Vecsey-Nagy, Milán AU - Péter, Csongor AU - Varga, Andrea AU - Kováts, Tamás AU - Bayerle, Patrik AU - Sótonyi, Péter AU - Banga, Péter TI - The Circle of Willis Status Influences Neurological Complications of Carotid Endarterectomy with Contralateral Carotid Occlusion JF - ANNALS OF VASCULAR SURGERY J2 - ANN VASC SURG VL - 108 PY - 2024 SP - 410 EP - 418 PG - 9 SN - 0890-5096 DO - 10.1016/j.avsg.2024.05.021 UR - https://m2.mtmt.hu/api/publication/35157361 ID - 35157361 LA - English DB - MTMT ER - TY - JOUR AU - Kilim, Oz Sam AU - Báskay, János AU - Biricz, András Mátyás AU - Bedőházi, Zsolt AU - Pollner, Péter AU - Csabai, István TI - Transfer learning may explain pigeons' ability to detect cancer in histopathology JF - BIOINSPIRATION & BIOMIMETICS J2 - BIOINSPIR BIOMIM VL - 19 PY - 2024 IS - 5 PG - 11 SN - 1748-3182 DO - 10.1088/1748-3190/ad6825 UR - https://m2.mtmt.hu/api/publication/35152435 ID - 35152435 AB - Pigeons' unexpected competence in learning to categorize unseen histopathological images has remained an unexplained discovery for almost a decade. Could it be that knowledge transferred from their bird's-eye views of the earth's surface gleaned during flight contributes to this ability? Employing a simulation-based verification strategy, we re-capitulate this biological phenomenon with a machine-learning analog. We model pigeons' visual experience during flight with the self-supervised pre-training of a deep neural network on BirdsEyeViewNet (BEVNet); our large-scale aerial imagery dataset. As an analog of the differential food reinforcement performed in the Levenson et al. study, we apply transfer learning from this pre-trained model to the same Hematoxylin and Eosin H&E histopathology and radiology images and tasks the pigeons were trained and tested on. The study demonstrates that pre-training neural networks with bird's-eye view data results in close agreement with pigeon performance. These results support transfer learning as a reasonable computational model of pigeon representation learning. This is further validated with six large-scale downstream classification tasks using H&E stained whole slide image (WSI) data sets representing diverse cancer types. LA - English DB - MTMT ER -