TY - JOUR AU - Dinu, Ciprian Adrian AU - Elisei, Alina Mihaela AU - Mihalache, Daniela AU - Batir, Denisa Marin TI - ACETYLSALICYLIC ACID IN CARDIOLOGY: BENEFITS, RISKS, AND CLINICAL INDICATIONS JF - ROMANIAN JOURNAL OF ORAL REHABILITATION J2 - ROM J ORAL REHABIL VL - 17 PY - 2025 IS - 1 SP - 933 EP - 944 PG - 12 SN - 2066-7000 DO - 10.62610/RJOR.2025.1.17.89 UR - https://m2.mtmt.hu/api/publication/36978908 ID - 36978908 AB - Acetylsalicylic acid (ASA) is an antiplatelet agent widely used in cardiology and has an essential role in the prevention and treatment of cardiovascular diseases. By irreversibly inhibiting cyclooxygenase-1 (COX-1), ASA reduces platelet aggregation and the risk of thrombotic events, being recommended in the secondary prevention of myocardial infarction, stroke, and peripheral arterial disease. It is also a central element in the treatment of acute coronary syndromes, administered in combination with other antiplatelet agents. However, its use is not without risks, the main adverse effects being gastrointestinal and intracranial hemorrhages. In primary prevention, the benefits are questionable, requiring a careful evaluation of the risk-benefit ratio. Current research is exploring strategies for optimizing the administration of ASA, including dose adjustment, intermittent administration, and identifying biomarkers that allow for personalized use. The development of safer alternatives and innovative formulations could improve the safety profile of ASA in the future. Thus, individualization of treatment remains essential to maximize efficiency and reduce associated risks. LA - English DB - MTMT ER - TY - CHAP AU - Hajdu, László AU - London, András AU - Pluhár, András ED - Marek, Bolanowski ED - Maria, Ganzha ED - Leszek, Maciaszek ED - Marcin, Paprzycki ED - Dominik, Ślęzak TI - A network clustering method based on intersection of random spanning trees T2 - Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS) PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Warsaw SN - 9788396960160 T3 - Annals of Computer Science and Information Systems, ISSN 2300-5963 ; 39. PY - 2024 SP - 609 EP - 614 PG - 6 DO - 10.15439/2024F7644 UR - https://m2.mtmt.hu/api/publication/35495657 ID - 35495657 LA - English DB - MTMT ER - TY - BOOK AU - Kraus, Mario H. TI - Kompaktkurs Kombinatorik: Gezählt, verteilt und wohlgeordnet PB - Springer Spektrum CY - Berlin PY - 2023 SP - 128 SN - 9783662669730 DO - 10.1007/978-3-662-66973-0 UR - https://m2.mtmt.hu/api/publication/36978922 ID - 36978922 LA - German DB - MTMT ER - TY - JOUR AU - Fijałkowski, Ł. AU - Skubiszewska, M. AU - Grześk, G. AU - Koech, F.K. AU - Nowaczyk, A. TI - Acetylsalicylic Acid–Primus Inter Pares in Pharmacology JF - MOLECULES J2 - MOLECULES VL - 27 PY - 2022 IS - 23 SN - 1431-5157 DO - 10.3390/molecules27238412 UR - https://m2.mtmt.hu/api/publication/33727352 ID - 33727352 N1 - Department of Pharmacometrics and Molecular Modeling, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University, 2 dr. A. Jurasza St., Bydgoszcz, 85-094, Poland Department of Cardiology and Clinical Pharmacology, Faculty of Health Sciences, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University, 75 Ujejskiego St., Bydgoszcz, 85-168, Poland School of Pharmacy, Kabarak University, P.O. Box 20157, Nairobi, Kenya Cited By :2 Export Date: 31 March 2023 CODEN: MOLEF Correspondence Address: Nowaczyk, A.; Department of Pharmacometrics and Molecular Modeling, 2 dr. A. Jurasza St., Poland; email: alicja@cm.umk.pl LA - English DB - MTMT ER - TY - JOUR AU - Alrasheed, Hend TI - On the Utilization of Shortest Paths in Complex Networks JF - IEEE ACCESS J2 - IEEE ACCESS VL - 9 PY - 2021 SP - 110989 EP - 111004 PG - 16 SN - 2169-3536 DO - 10.1109/ACCESS.2021.3101176 UR - https://m2.mtmt.hu/api/publication/32454579 ID - 32454579 AB - Considerable effort has been devoted to the study of network structures and connectivity patterns and their influence on network dynamics. A widely used assumption in network analysis models is that traffic follows the shortest paths connecting pairs of nonneighboring vertices. For example, graph centrality measures, community extraction algorithms, and core-periphery detection algorithms use this assumption. However, this is a very restricted perspective and can be misleading as a consequence of its focus on shortest path communications. In this work, we study the utilization of shortest paths in complex networks in different data dissemination scenarios. We also explore whether there are general properties that can make networks utilize shortest paths more effectively. By conducting simulations on a set of real-world and artificial networks, we show that the utilization of shortest paths in complex networks may not be as common as assumed. This implies that longer paths can be as important (in some cases) as the shortest paths. Our results show that at least two factors clearly influence shortest path utilization in a network: the structure of the network and the data dissemination algorithm. We also find that the type of a network is not a good indicator of its shortest path utilization. LA - English DB - MTMT ER -