Hasil untuk "History of Central Europe"

F. Fukuyama

J. L. Wilson

G. Randi, S. Franceschi, C. la Vecchia

G. Blöschl, A. Kiss, A. Viglione et al.

Milan Mašát

Central European children’s literature can be read as both archive—recording shifting norms, institutions, and visual regimes—and agent, a medium through which childhood, citizenship, and cultural memory are made legible. This conceptual article proposes an edition-sensitive framework for analysing texts, images, and paratexts across Central Europe (1860–2025), with particular attention to institutional mediation. Rather than offering a comprehensive dataset or causal claims about reception, it synthesises research in childhood history, book and media history, memory studies, and translation and circulation studies to advance three arguments. First, children’s books are institutionally framed artefacts: paratexts and material features (series branding, curricular endorsements, library markings, pricing cues, regulatory traces) can be read as historically interpretable speech acts of legitimation. Second, shifts in visual and material regimes should be analysed as changing conditions of legibility—expectations of clarity, affect, and authority—rather than as mere stylistic evolution. Third, translation and circulation function as infrastructures that reorganise repertoires and interpretive horizons, complicating nation-centred narratives without exhaustive market mapping. The article concludes by stating methodological limits (catalogue gaps, survival bias, uneven metadata) and outlining a transferable agenda for paratext-centred documentation and edition-sensitive reading.

Vera Geisen, Nikola Pantchev, Yury Zablotski et al.

Hepatozoon spp. are increasingly reported in cats from Mediterranean countries, but data for Central and Northern Europe remain limited. This study investigated the occurrence and molecular diversity of Hepatozoon spp. in 1357 blood samples from cats living in Germany and other European countries using real-time PCR targeting the 18S rRNA gene. Hepatozoon spp. DNA was detected in 58 cats (4.3 %; 95 %-CI: 3.3–5.5 %). Thirty-seven positive samples were further analyzed by conventional PCR and sequencing. Four sequence types (A-D) were detected. Hepatozoon felis sequences classified within the genogroup I (types A and B) were identified in 33 cats; Hepatozoon silvestris haplotype I (type C) in one cat; and sequences showing 98.5 % identity to H. silvestris (type D) in three cats. Younger cats had a significantly higher infection risk (p = 0.026), while no association with sex was found. Samples submitted for targeted Hepatozoon testing and travel disease screening showed higher positivity rates. Among the 37 molecularly characterized cases, 31 had a known import origin, primarily from Greece, Spain, Cyprus, Italy, Bulgaria, the United Arab Emirates, Jordan, and Turkey. Notably, the H. silvestris-positive cat from Austria had no travel history, representing the first autochthonous case in a domestic cat in Austria. This study highlights the emergence of feline Hepatozoon infections in Europe, involving genetically diverse species. Infections should be considered mainly in cats with Mediterranean origin, travel history, outdoor access, or tick exposure. Identifying vectors responsible for transmission is crucial for implementing effective prevention strategies.

Harper Crosson

Die Wiener Sozialdemokrat:innen der Zwischenkriegszeit wollten einen neuen sozialistischen Menschen ohne Revolution entwickeln. Dieses Ziel erforderte einzigartige und kreative Mittel welschen in der Privatsphäre der Arbeiter:innen tätig waren. Ein Instrument, das die Sozialdemokratische Arbeiterpartei Österreichs (SDAPÖ) zu diesen Zwecken nutzte, war der Arbeitersport: Eine einmalige und faszinierende Mischung aus sozialistischen Werten und einem boomenden internationalen Leistungssportverrücktheit.  Diese Analyse konzentriert sich zum Teil auf die Veröffentlichungen von Julius Deutsch, dem Leiter der österreichischen Arbeitersportbewegung. Deutschs beschriebene Ziele und radikale Visionen werden dann mit der tatsächlichen Manifestation des Programms verglichen: Es wird gezeigt, dass die proklamierte Radikalität der Bewegung oft hohl war. Diese Erkenntnisse werden dann in die größere Geschichte der SDAPÖ eingeordnet.

Maciej Woźny

The article discusses the problem of the variability of coats of arms of knightly families from Upper Silesia, using the example of two families, the Kiczkas and the Czaczkes. It was shown that the image of the Kietlicz coat of arms known from armorials, used by the descendants of the Kiczka family, was not identical with the medieval Kiczka coat of arms and was not used until the end of the 15th century. Meanwhile, the littleknown Czaczke coat of arms underwent changes in the individual lines of this family throughout the 15th century, only to stabilize in the 16th century.

Sylva Drtikolová Kaupová, Jan Frolík, Petr Velemínský et al.

Příspěvek představuje první výsledky izotopové analýzy stravy jedinců pohřbených u hřbitovního karneru Všech svatých v Kutné Hoře – Sedlci (13.–14. stol.). Izotopové hodnoty uhlíku (δ13C) a dusíku (δ15N) byly měřeny v kostní tkáni celkem 24 jedinců pohřbených v individuálních hrobech. Analyzovaný soubor byl doplněn 11 vzorky zvířecích kostí a jako srovnávací soubor představující venkovskou populaci byl použit kosterní materiál 20 jedinců pohřbených během 14. století na hřbitově v Oškobrhu. Průměrné hodnoty souboru z Kutné Hory činily -19,3 ± 0,2 ‰ pro δ13C a 12,2 ± 0,5 ‰ pro δ15N. U souboru z Oškobrhu pak činily -19,4 ± 0,1 ‰ pro δ13C a 11,4 ± 1,2 ‰ pro δ15N. Strava obou populačních souborů byla založená na C3-rostlinách, se signifikantním podílem živočišných produktů, případně ryb. V případě Kutné Hory byl však tento podíl signifikantně vyšší, a to zejména u žen. Hodnoty obou souborů dobře ilustrují proměnu českých zemí ve středověku ve smyslu odklonu od pěstování prosa. Porovnání s hodnotami dalších souborů z kontextu raně středověké až raně novověké střední Evropy ukazuje na kvalitní stravu s dostatečným obsahem živočišných bílkovin.

Joseph R. Burger

Natural selection has produced an extraordinary diversity of life histories spanning many orders of magnitude in body size, vital rates, and biological times. In general, big and cold organisms grow and reproduce slowly and live long lives; small and warm organisms grow and reproduce quickly and live short lives. The Metabolic Theory of Ecology (MTE) predicts equal and opposite scaling exponents of mass-specific biological rates (e.g., respiration, growth, and reproduction) and times (e.g., development, lifespan, and generation) as a function of size. However, empirical support for these predictions varies depending on trait and taxon. Here I: 1) provide background and mixed support for the quarter-power scaling exponents for life history rates and times predicted by MTE, 2) discuss possible explanations, including effects of natural selection on taxonomic and functional groups, and inadequate data for life history traits, 3) briefly summarize the Equal Fitness Paradigm (EFP) as a unifying theory of bioenergetics, life history and demography that does not depend on any particular allometric scalings, and 4) discuss ramifications of the EFP for other biological phenomena, including physiological performance metrics and trophic energetics of ecosystems. I draw mostly from my knowledge of mammals, yet in many cases the mammalian examples can be generalized to other organisms. I end with prospects for further evaluating and extending the EFP.

Ruizhong Qiu, Dingsu Wang, Lei Ying et al.

Diffusion on graphs is ubiquitous with numerous high-impact applications. In these applications, complete diffusion histories play an essential role in terms of identifying dynamical patterns, reflecting on precaution actions, and forecasting intervention effects. Despite their importance, complete diffusion histories are rarely available and are highly challenging to reconstruct due to ill-posedness, explosive search space, and scarcity of training data. To date, few methods exist for diffusion history reconstruction. They are exclusively based on the maximum likelihood estimation (MLE) formulation and require to know true diffusion parameters. In this paper, we study an even harder problem, namely reconstructing Diffusion history from A single SnapsHot} (DASH), where we seek to reconstruct the history from only the final snapshot without knowing true diffusion parameters. We start with theoretical analyses that reveal a fundamental limitation of the MLE formulation. We prove: (a) estimation error of diffusion parameters is unavoidable due to NP-hardness of diffusion parameter estimation, and (b) the MLE formulation is sensitive to estimation error of diffusion parameters. To overcome the inherent limitation of the MLE formulation, we propose a novel barycenter formulation: finding the barycenter of the posterior distribution of histories, which is provably stable against the estimation error of diffusion parameters. We further develop an effective solver named DIffusion hiTting Times with Optimal proposal (DITTO) by reducing the problem to estimating posterior expected hitting times via the Metropolis--Hastings Markov chain Monte Carlo method (M--H MCMC) and employing an unsupervised graph neural network to learn an optimal proposal to accelerate the convergence of M--H MCMC. We conduct extensive experiments to demonstrate the efficacy of the proposed method.

Tomasz Jurek

Lista recenzentów Roczników Historycznych

Anne Grete Semb, Silvia Rollefstad, Joseph Sexton et al.

Objective: To describe the prevalence of atrial fibrillation (AF) in patients with rheumatoid arthritis (RA), and to evaluate the proportion of patients with AF receiving guideline-recommended anticoagulation for prevention of stroke, based on data from a large international audit. Methods: The cohort was derived from the international audit SUrvey of cardiovascular disease Risk Factors in patients with Rheumatoid Arthritis (SURF-RA) which collected data from 17 countries during 2014–2019. We evaluated the prevalence of AF across world regions and explored factors associated with the presence of AF with multivariable logistic regression models. The proportion of AF patients at high risk of stroke (CHA2DS2-VASc ≥ 2 in males and ≥ 3 in females) receiving anticoagulation was examined. Results: Of the total SURF-RA cohort (n = 14,503), we included RA cases with data on whether the diagnosis of AF was present or not (n = 7,665, 75.1% women, mean (SD) age 58.7 (14.1) years). A total of 288 (3.8%) patients had a history of AF (4.4% in North America, 3.4% in Western Europe, 2.8% in Central and Eastern Europe and 1.5% in Asia). Factors associated with the presence of AF were older age, male sex, atherosclerotic cardiovascular disease, heart failure and hypertension. Two-hundred and fifty-five (88.5%) RA patients had a CHA2DS2-VASc score indicating recommendation for oral anticoagulant treatment, and of them, 164 (64.3%) were anticoagulated. Conclusion: Guideline-recommended anticoagulant therapy for prevention of stroke due to AF may not be optimally implemented among RA patients, and requires special attention.

Mancheng Meng, Ziyan Wu, Terrence Chen et al.

Predicting the future trajectory of a person remains a challenging problem, due to randomness and subjectivity of human movement. However, the moving patterns of human in a constrained scenario typically conform to a limited number of regularities to a certain extent, because of the scenario restrictions and person-person or person-object interactivity. Thus, an individual person in this scenario should follow one of the regularities as well. In other words, a person's subsequent trajectory has likely been traveled by others. Based on this hypothesis, we propose to forecast a person's future trajectory by learning from the implicit scene regularities. We call the regularities, inherently derived from the past dynamics of the people and the environment in the scene, scene history. We categorize scene history information into two types: historical group trajectory and individual-surroundings interaction. To exploit these two types of information for trajectory prediction, we propose a novel framework Scene History Excavating Network (SHENet), where the scene history is leveraged in a simple yet effective approach. In particular, we design two components: the group trajectory bank module to extract representative group trajectories as the candidate for future path, and the cross-modal interaction module to model the interaction between individual past trajectory and its surroundings for trajectory refinement. In addition, to mitigate the uncertainty in ground-truth trajectory, caused by the aforementioned randomness and subjectivity of human movement, we propose to include smoothness into the training process and evaluation metrics. We conduct extensive evaluations to validate the efficacy of our proposed framework on ETH, UCY, as well as a new, challenging benchmark dataset PAV, demonstrating superior performance compared to state-of-the-art methods.

Danko Georgiev, Eliahu Cohen

Quantum entanglement is a key resource, which grants quantum systems the ability to accomplish tasks that are classically impossible. Here, we apply Feynman's sum-over-histories formalism to interacting bipartite quantum systems and introduce entanglement measures for bipartite quantum histories. Based on the Schmidt decomposition of the matrix comprised of the Feynman propagator complex coefficients, we prove that bipartite quantum histories are entangled if and only if the Schmidt rank of this matrix is larger than 1. The proposed approach highlights the utility of using a separable basis for constructing the bipartite quantum histories and allows for quantification of their entanglement from the complete set of experimentally measured sequential weak values. We then illustrate the non-classical nature of entangled histories with the use of Hardy's overlapping interferometers and explain why local hidden variable theories are unable to correctly reproduce all observable quantum outcomes. Our theoretical results elucidate how the composite tensor product structure of multipartite quantum systems is naturally extended across time and clarify the difference between quantum histories viewed as projection operators in the history Hilbert space or viewed as chain operators and propagators in the standard Hilbert space.

Alejandro Gonzalez-Hevia, Daniel Gayo-Avello

Knowledge graphs have been adopted in many diverse fields for a variety of purposes. Most of those applications rely on valid and complete data to deliver their results, pressing the need to improve the quality of knowledge graphs. A number of solutions have been proposed to that end, ranging from rule-based approaches to the use of probabilistic methods, but there is an element that has not been considered yet: the edit history of the graph. In the case of collaborative knowledge graphs (e.g., Wikidata), those edits represent the process in which the community reaches some kind of fuzzy and distributed consensus over the information that best represents each entity, and can hold potentially interesting information to be used by knowledge graph refinement methods. In this paper, we explore the use of edit history information from Wikidata to improve the performance of type prediction methods. To do that, we have first built a JSON dataset containing the edit history of every instance from the 100 most important classes in Wikidata. This edit history information is then explored and analyzed, with a focus on its potential applicability in knowledge graph refinement tasks. Finally, we propose and evaluate two new methods to leverage this edit history information in knowledge graph embedding models for type prediction tasks. Our results show an improvement in one of the proposed methods against current approaches, showing the potential of using edit information in knowledge graph refinement tasks and opening new promising research lines within the field.

Poltavets Sergii

The paper presents the research of an information part of the hybrid war the Russian Federation wages against East European countries, namely, Poland, and prove that memory wars as a component of information war becomes of not lesser importance than direct war actions. The importance of media resources in counteracting information aggression of the Russian Federation is proved. The experience of Poland in the field of fighting against Russia policy aimed at making distorted reality, is analyzed. It is proved that Polish analysts, researchers and scholars to confront fake news and outright misinformation which the Russian Federation run as a part of memory wars against Poland, have to act within education and research initiatives. The process of teaching people some information hygiene never stops and it gets urgent for East and Central Europe countries in terms of hybrid counteracting the Russian Federation. Significant increasing of information flows and information one gets became the reasons for every person and every analytical department to separate information space permanently, because today total amount of information is many times greater than reliable one, proved with facts, researches etc. It is in the part of information space that concerns humanities, where semitruth, or even outright lie are the most easily produced. Information aggression of the Russian Federation is analyzed, and ways and approaches used by Poland to protect its own media space against Russian intrusion, are examined. The Russian Federation attempts to fill information space and Polish society with new stereotypes to provoke most favorable for Russia discussion trends on many issues of political history, are evaluated.

Marta Victoria, Elisabeth Zeyen, Tom Brown

Europe's contribution to global warming will be determined by the cumulative emissions until climate neutrality is achieved. In this paper, we investigate alternative transition paths under carbon budgets corresponding to temperature increases between 1.5 and 2C. We use PyPSA-Eur-Sec, an open model of the sector-coupled European energy system with high spatial and temporal resolution. All the paths entail similar technological transformations, but the timing of the scale-up of important technologies like water electrolysis, carbon capture and hydrogen networks differs in the model. In our results, solar PV, onshore and offshore wind become the cornerstone of a net-zero energy system enabling the decarbonisation of other sectors via direct electrification (e.g. heat pumps and electric vehicles) or indirect electrification (e.g. using synthetic fuels). Under the cost and performance assumptions applied, for a social cost of carbon (SCC) of 120EUR/tCO2, transition paths under 1.5 and 1.6C budgets are, respectively, 8%, and 1% more expensive than the 2C-budget because building assets earlier costs more. These pathways also see a faster ramp-up of new technologies before 2035. Under these assumptions, the 1.5C-budget is cost-optimal in our model, if SCC of at least 300 EUR/tCO2 is considered. Moreover, we discuss the strong implications of the SCC and discount rate assumed when comparing alternative paths. We also analyse the consequences of different assumptions on the cost and potential of CO2 sequestration.

Laura M. Shannon, Ryan H. Boyko, M. Castelhano et al.

Maciej Kaczmarek