@article{MTMT:34801314,
	title = {A klímaaggodalmak és környezetbarát viselkedés kapcsolatának és jellemzőinek feltárása Debrecenben},
	url = {https://m2.mtmt.hu/api/publication/34801314},
	author = {Kiss, Emőke and Mester, Tamás and Balla, Dániel},
	journal-iso = {TERÜLETI STATISZTIKA},
	journal = {TERÜLETI STATISZTIKA},
	unique-id = {34801314},
	issn = {0018-7828},
	abstract = {A klímaváltozás kihívásainak és alkalmazkodási lehetőségeinek elemzésekor a
		klímaaggodalmak és a környezetbarát viselkedés kapcsolatának kérdésköre is gyakran
		felvetődik. A 2020-ban kitört COVID-19 világjárvány elterelte az emberek figyelmét a
		klímaváltozásról, így a lakosság klímaaggodalmainak feltárása nagyon fontossá vált ebben az
		időszakban. Kutatásunkban mintaterületként egy kelet-közép-európai várost, Magyarország
		második legnépesebb települését, Debrecent, Hajdú-Bihar vármegyeszékhelyét választottuk.
		Munkánk során kérdőíves felmérést végeztünk 2020-ban a lakosok körében (N=200).
		Tanulmányunk fő célja a klímaaggodalmak és a környezetbarát viselkedés kapcsolatának
		vizsgálata és feltárása volt. A klímaaggodalom, a környezetbarát viselkedés és a kiválasztott
		prediktorok közötti kapcsolat szorosságát, erősségét és intenzitását korrelációelemzéssel
		vizsgáltuk, a regresszióelemzés a kiválasztott változók hatását és kapcsolatát vizsgálta.
		Kimutattuk, hogy a lakosok Klímaaggodalom Indexe (KAI) és Környezetbarát Viselkedés
		Indexe (KVI) magas. Kutatásunkban a korrelációelemzés egyik legfontosabb eredménye, hogy
		a KAI és KVI között egyáltalán nem találtunk szignifikáns kapcsolatot, tehát a kettő nem
		függött össze mintánkban. Másik fontos eredményük, hogy a KVI és a Kockázatérzékelés
		Indexek (KI) között sem mutatható ki szignifikáns kapcsolat, ugyanakkor a KAI és a KI között
		szignifikánsan pozitív irányú, közepes erősségű kapcsolatot fedeztünk fel. A többváltozós
		lineáris regresszióelemzésekben a demográfiai faktorok csak enyhén mérsékelték a változók
		hatását a KAI-ra és KVI-re. Eredményeink alátámasztják azokat a tanulmányokat, amelyek
		szerint az egyének klímaaggodalma nem vezet következetesen környezetbarát magatartáshoz.},
	keywords = {klímaváltozás},
	year = {2024},
	eissn = {2064-8251},
	orcid-numbers = {Balla, Dániel/0000-0002-8051-1518}
}

@CONFERENCE{MTMT:34799801,
	title = {Evaluating the efficacy of multitemporal TLS and UAS surveys for quantifying wind erosion magnitudes of sand dune topography},
	url = {https://m2.mtmt.hu/api/publication/34799801},
	author = {Bertalan, László and Négyesi, Gábor and Szabó, Gergely and Túri, Zoltán and Szabó, Szilárd},
	booktitle = {EGU General Assembly 2024 : abstracts},
	unique-id = {34799801},
	year = {2024},
	orcid-numbers = {Bertalan, László/0000-0002-5963-2710; Szabó, Szilárd/0000-0002-2670-7384}
}

@article{MTMT:34794412,
	title = {First evidence of Pinaceae and Fagaceae in the fossil wood record of the České středohoří Mts. (Czech Republic): A comprehensive study of fossiliferous sites in pyroclastic rocks surrounding the late Oligocene Milá stratovolcano},
	url = {https://m2.mtmt.hu/api/publication/34794412},
	author = {Koutecký, V. and Mysliveček, J. and Rapprich, V. and Laufek, F. and Benkó, Zsolt and Sakala, J.},
	doi = {10.1016/j.revpalbo.2024.105097},
	journal-iso = {REV PALAEOBOT PALYNO},
	journal = {REVIEW OF PALAEOBOTANY AND PALYNOLOGY},
	volume = {325},
	unique-id = {34794412},
	issn = {0034-6667},
	year = {2024},
	eissn = {1879-0615}
}

@article{MTMT:34773007,
	title = {Spatial mobility of the inhabitants of the countries of NATO’s eastern flank in the event of a military conflict},
	url = {https://m2.mtmt.hu/api/publication/34773007},
	author = {Borowska-Stefańska, Marta and Goniewicz, Krzysztof and Grama, Vasile and Horňák, Marcel and Masierek, Edyta and Morar, Cezar and Pénzes, János and Rochovská, Alena and Turoboś, Filip and Wiśniewski, Szymon},
	doi = {10.2478/mgr-2024-0005},
	journal-iso = {MORAV GEOGR REP},
	journal = {MORAVIAN GEOGRAPHICAL REPORTS},
	volume = {32},
	unique-id = {34773007},
	issn = {1210-8812},
	abstract = {In this article, we identify the spatial mobility of the populations of selected urban centres in Poland, Romania, Slovakia and Hungary. In total, 1,616 interviews were conducted. Additionally also interviews with the employees responsible for crisis management were conducted. Based on the analyses, five different clusters were identified, with different patterns of inhabitants in terms of their spatial mobility in the event of war. The most significant factors influencing their mobility in crisis situations are country of residence, age, number of people in the household and sex. This research can help develop evacuation strategies at different levels of governance.},
	keywords = {NATO; evacuation planning; military conflict; Spatial mobility; cluster-­analysis; Computer Assisted Telephone Interview (CATI)},
	year = {2024},
	eissn = {2199-6202},
	pages = {51-65},
	orcid-numbers = {Borowska-Stefańska, Marta/0000-0003-2448-4778; Goniewicz, Krzysztof/0000-0003-4368-6850; Grama, Vasile/0000-0003-0600-1138; Horňák, Marcel/0000-0003-0071-4997; Masierek, Edyta/0000-0002-3148-2503; Morar, Cezar/0000-0003-0211-5883; Pénzes, János/0000-0002-4870-087X; Rochovská, Alena/0000-0001-6126-7700; Turoboś, Filip/0000-0002-5782-6159; Wiśniewski, Szymon/0000-0001-5488-5949}
}

@article{MTMT:34764189,
	title = {Age, Kinematic and Thermal Constraints of Syn‐Orogenic Low‐Temperature Deformation Events: Insights From Thermochronology and Structural Data of the Nekézseny Thrust (Alpine‐Carpathian‐Dinaric Area)},
	url = {https://m2.mtmt.hu/api/publication/34764189},
	author = {Oravecz, Éva and Benkó, Zsolt and Arató, Róbert and Dunkl, István and Héja, G and Kövér, Szilvia and Németh, Tibor and Fodor, László},
	doi = {10.1029/2023TC008189},
	journal-iso = {TECTONICS},
	journal = {TECTONICS},
	volume = {43},
	unique-id = {34764189},
	issn = {0278-7407},
	abstract = {Unraveling the age and kinematics of low temperature deformation events is crucial in understanding the late‐stage evolution of orogens. However, accurate age constraints can often be challenging to obtain due to unideal outcrop conditions, large sedimentary hiatuses or the lack of well‐defined thermal events. In this study, we show on the example of the Nekézseny Thrust, a poorly exposed late orogenic thrust in the southern Western Carpathians, that a combined approach of structural analysis and multi‐method thermochronology can provide the necessary temporal, kinematic and thermal constraints for a detailed reconstruction of the deformation history. While structural mapping revealed that the Late Cretaceous Uppony Gosau Basin in the footwall of the Nekézseny Thrust underwent a significant post‐Campanian and pre‐Miocene shortening, K/Ar dating of fault gouge samples from the main fault zone constrained the primary thrusting event to the Maastrichtian. Based on the acquired apatite fission‐track and (U‐Th)/He ages, subsequent heating of the Upper Cretaceous sediments due to tectonic burial was limited to 75–100°C, followed by deformation‐related and gradual cooling between the Eocene and Early Miocene. Considering the reconstructed deformation history, as well as the large‐scale tectonic affinity of the displaced units in its footwall and hanging wall, the Nekézseny Thrust is a far‐traveled (ca. 600 km) segment of the Late Cretaceous Alps‐Dinarides contact zone, whose development was linked to the switch from lower plate to upper plate position with respect to the Sava Zone and Alpine Tethys sutures, respectively.},
	year = {2024},
	eissn = {1944-9194},
	orcid-numbers = {Kövér, Szilvia/0000-0002-6736-4226; Németh, Tibor/0000-0002-1836-6006}
}

@article{MTMT:34751077,
	title = {Csiszolt kőeszközök nyersanyagtípusainak csoportosítása mágneses szuszceptibilitás, tömeg, térfogat, sűrűség és magasság alapján : Esettanulmány Bátaszék-Alsónyékről},
	url = {https://m2.mtmt.hu/api/publication/34751077},
	author = {Sági, Tamás and Józsa, Sándor and Janka, Péter and Káposztás, Viktória and Oelberg-Pánczél, Emese and Szendrei, Zsolt and Szücs, Levente Csaba and Virág, Attila},
	doi = {10.55023/issn.1786-271X.2024-009},
	journal-iso = {ARCHEOMETRIAI MŰHELY},
	journal = {ARCHEOMETRIAI MŰHELY},
	volume = {21},
	unique-id = {34751077},
	issn = {1786-271X},
	abstract = {A csiszolt kőeszközök nyersanyagának pontos meghatározására az egyszerű makroszkópos kőzethatározástól kezdve a legkorszerűbb műszeres vizsgálatokig számos módszert alkalmaznak. A gyakran nagyszámú kőeszközből álló leletegyüttesek egyes nyersanyagtípusainak reprezentatív, nagyműszeres vizsgálatra szánt példányainak kiválasztása jelentős kihívás a geológusok számára. Jelen kutatás célja, hogy kísérletet tegyünk csiszolt kőeszközök nyersanyagtípusai közötti különbségek meghatározására egyszerűen mérhető jellemzőik (tömeg, térfogat, sűrűség, mágneses szuszceptibilitás és vastagság) standardizált főkomponens elemzése alapján.},
	keywords = {principal component analysis; Polished stone tools; Correlation Heatmap; magnetic susceptibility.; rocks density},
	year = {2024},
	pages = {89-100},
	orcid-numbers = {Sági, Tamás/0000-0003-4664-5472; Józsa, Sándor/0000-0001-8219-0044; Virág, Attila/0000-0002-5530-0065}
}

@article{MTMT:34742919,
	title = {Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency},
	url = {https://m2.mtmt.hu/api/publication/34742919},
	author = {Phinzi, Kwanele and Szabó, Szilárd},
	doi = {10.1007/s11069-024-06481-9},
	journal-iso = {NAT HAZARDS},
	journal = {NATURAL HAZARDS},
	unique-id = {34742919},
	issn = {0921-030X},
	abstract = {Currently, machine learning (ML) based gully susceptibility prediction is a rapidly expanding research area. However, when assessing the predictive performance of ML models, previous research frequently overlooked the critical component of computational efficiency in favor of accuracy. This study aimed to evaluate and compare the predictive performance of six commonly used algorithms in gully susceptibility modeling. Artificial neural networks (ANN), partial least squares, regularized discriminant analysis, random forest (RF), stochastic gradient boosting, and support vector machine (SVM) were applied. The comparison was conducted under three scenarios of input feature set sizes: small (six features), medium (twelve features), and large (sixteen features). Results indicated that SVM was the most efficient algorithm with a medium-sized feature set, outperforming other algorithms across all overall accuracy (OA) metrics (OA = 0.898, F 1-score = 0.897) and required a relatively short computation time (< 1 min). Conversely, ensemble-based algorithms, mainly RF, required a larger feature set to reach optimal accuracy and were computationally demanding, taking about 15 min to compute. ANN also showed sensitivity to the number of input features, but unlike RF, its accuracy consistently decreased with larger feature sets. Among geo-environmental covariates, NDVI, followed by elevation, TWI, population density, SPI, and LULC, were critical for gully susceptibility modeling. Therefore, using SVM and involving these covariates in gully susceptibility modeling in similar environmental settings is strongly suggested to ensure higher accuracy and minimal computation time.},
	keywords = {machine learning; Computational efficiency; Predictive modeling; gully erosion; Geo-environmental predictors},
	year = {2024},
	eissn = {1573-0840},
	orcid-numbers = {Szabó, Szilárd/0000-0002-2670-7384}
}

@article{MTMT:34741333,
	title = {Classification Assessment Tool: A program to measure the uncertainty of classification models in terms of class-level metrics},
	url = {https://m2.mtmt.hu/api/publication/34741333},
	author = {Szabó, Szilárd and Holb, Imre and Abriha-Molnár, Vanda Éva and Szatmári, Gábor and Singh, Sudhir Kumar and Abriha, Dávid},
	doi = {10.1016/j.asoc.2024.111468},
	journal-iso = {APPL SOFT COMPUT},
	journal = {APPLIED SOFT COMPUTING},
	volume = {155},
	unique-id = {34741333},
	issn = {1568-4946},
	abstract = {Accuracy assessments are important steps of classifications and get higher relevance with the soar of machine 
		and deep learning techniques. We provided a method for quick model evaluations with several options: calculate 
		the class level accuracy metrics for as many models and classes as needed; calculate model stability using random 
		subsets of the testing data. The outputs are single calculations, summaries of the repetitions, and/or all accuracy 
		results per repetitions. Using the application, we demonstrated the possibilities of the function and analyzed the 
		accuracies of three experiments. We found that some popular metrics, the binary Overall Accuracy, Sensitivity, 
		Precision, and Specificity, as well as ROC curve, can provide false results when the true negative cases dominate. 
		F1-score, Intersection over Union and the Matthews correlation coefficient were reliable in all experiments. 
		Medians and interquartile ranges (IQR) of the repeated sampling from the testing dataset showed that IQR were 
		small when a model was almost perfect or completely unacceptable; thus, IQR reflected the model stability, 
		reproducibility. We found that there were no general, statistically justified relationship with the median and IQR, 
		furthermore, correlations of accuracy metrics varied by experiments, too. Accordingly, a multi-metric evaluation 
		is suggested instead of a single metric.},
	keywords = {REPETITION; Python; model evaluation; Model stability},
	year = {2024},
	eissn = {1872-9681},
	orcid-numbers = {Szabó, Szilárd/0000-0002-2670-7384; Szatmári, Gábor/0000-0003-3201-598X}
}

@article{MTMT:34728890,
	title = {Palaeontological and taphonomical investigations of the exceptionally rich concentration of Miocene vertebrate coprolites from Pécs-Danitzpuszta (Hungary, Mecsek Mts.)},
	url = {https://m2.mtmt.hu/api/publication/34728890},
	author = {Román, Zsófia and Segesdi, Martin and Sebe, Krisztina and Földes, Tamás and Bakrač, Koraljka and Virág, Attila and Botfalvai, Gábor},
	doi = {10.1080/08912963.2024.2324435},
	journal-iso = {HIST BIOL},
	journal = {HISTORICAL BIOLOGY},
	unique-id = {34728890},
	issn = {0891-2963},
	abstract = {Thousands of coprolites have been collected from the Upper Miocene (Tortonian/Pannonian) sands of the 
		Pécs-Danitzpuszta sand pit, one of the most important mixed Neogene vertebrate localities in Hungary. 
		Although, the locality has been known for centuries, the coprolites have not been investigated in detail. We 
		describe these fossils and explore their palaeoecological significance. Coprolites were examined with thin 
		sections, X-ray powder diffraction and computed tomography. Their surface is mostly smooth, desiccation 
		cracks were not observed. All coprolites mainly consist of apatite, indicating most probably a carnivorous diet. 
		No evidence of herbivory has been found so far. The coprolites contain remains belonging to several groups: 
		ostracod carapaces, bivalve shells, vertebrae from bony fishes, fish scales, as well as teeth. The CT scans show 
		inhomogeneities in the matrix; however, in most cases they do not reliably indicate inclusions. The taphonomical features suggest rapid burial and most likely an aquatic origin. The spiral morphotype could be attributed 
		to fishes with spiral intestinal valves. Teeth of reef-associated fish taxa indicate Badenian age for some 
		specimens, though the coprolite assemblage might include older and younger specimens as well.},
	keywords = {Lake Pannon; Paratethys; Miocene; VERTEBRATE COPROLITES; coprolite taphonomy},
	year = {2024},
	eissn = {1029-2381},
	orcid-numbers = {Sebe, Krisztina/0000-0002-4647-2199; Virág, Attila/0000-0002-5530-0065; Botfalvai, Gábor/0000-0002-5479-9036}
}

@article{MTMT:34657898,
	title = {Green concrete materials selection for achieving circular economy in residential buildings using system dynamics},
	url = {https://m2.mtmt.hu/api/publication/34657898},
	author = {Madi, Heba and Kozma, Gábor and Szabó, György Emőd},
	doi = {10.1016/j.clema.2024.100221},
	journal-iso = {CLEANER MATERIALS},
	journal = {CLEANER MATERIALS},
	volume = {11},
	unique-id = {34657898},
	keywords = {System dynamics; Resource efficiency; circular economy; Green concrete},
	year = {2024},
	eissn = {2772-3976}
}