Hasil untuk "Europe (General)"

Perry Anderson

Javier Larequi Fontaneda

Marc Aurel Vischer, Noelia Otero, Jackie Ma

We present a dataset for rainfall streamflow modeling that is fully spatially resolved with the aim of taking neural network-driven hydrological modeling beyond lumped catchments. To this end, we compiled data covering five river basins in central Europe: upper Danube, Elbe, Oder, Rhine, and Weser. The dataset contains meteorological forcings, as well as ancillary information on soil, rock, land cover, and orography. The data is harmonized to a regular 9km times 9km grid and contains daily values that span from October 1981 to September 2011. We also provide code to further combine our dataset with publicly available river discharge data for end-to-end rainfall streamflow modeling.

Thomas I. Strasser, Edmund Widl, Carlos Ayon Mac Gregor et al.

The ongoing transformation of the European energy landscape, driven by the integration of renewable energy sources, digital technologies, and decentralized systems, requires a high degree of interoperability across diverse components and systems. Ensuring that these elements can exchange information and operate together reliably is essential for achieving a secure, flexible, and efficient energy supply infrastructure. While several initiatives have contributed to the development of smart grid testing infrastructures, they do not provide a dedicated or comprehensive focus on interoperability testing. A structured and harmonized overview of interoperability testing capabilities across Europe is therefore still missing. This work therefore presents a novel contribution by analyzing the European interoperability testing facility landscape through a structured survey of 30 facilities. It provides a categorized inventory of testing infrastructures, applied methodologies, and reference test cases, and introduces a blueprint for the development of future testing environments. The findings contribute to the establishment of a coordinated European ecosystem for interoperability testing, supporting collaboration, innovation, and alignment with the goals of the energy transition.

David Funosas, Elodie Massol, Yves Bas et al.

Currently available tools for the automated acoustic recognition of European insects in natural soundscapes are limited in scope. Large and ecologically heterogeneous acoustic datasets are currently needed for these algorithms to cross-contextually recognize the subtle and complex acoustic signatures produced by each species, thus making the availability of such datasets a key requisite for their development. Here we present ECOSoundSet (European Cicadidae and Orthoptera Sound dataSet), a dataset containing 10,653 recordings of 200 orthopteran and 24 cicada species (217 and 26 respective taxa when including subspecies) present in North, Central, and temperate Western Europe (Andorra, Belgium, Denmark, mainland France and Corsica, Germany, Ireland, Luxembourg, Monaco, Netherlands, United Kingdom, Switzerland), collected partly through targeted fieldwork in South France and Catalonia and partly through contributions from various European entomologists. The dataset is composed of a combination of coarsely labeled recordings, for which we can only infer the presence, at some point, of their target species (weak labeling), and finely annotated recordings, for which we know the specific time and frequency range of each insect sound present in the recording (strong labeling). We also provide a train/validation/test split of the strongly labeled recordings, with respective approximate proportions of 0.8, 0.1 and 0.1, in order to facilitate their incorporation in the training and evaluation of deep learning algorithms. This dataset could serve as a meaningful complement to recordings already available online for the training of deep learning algorithms for the acoustic classification of orthopterans and cicadas in North, Central, and temperate Western Europe.

J. Kraft

Mattia De Vivo

Due to the pet and goods trade, several animals are now present in regions outside of their traditional native ranges. A peculiar situation has arisen in mantises, insects that are becoming more popular as pets: two genera (Hierodula and Tenodera) have begun to spread around the world, with two Hierodula species overlapping in Europe and two Tenodera species doing the same in North America. Such an event can lead to possible competition with both local taxa and alien congeneric sister species; the latter may reduce the impact of one of the invaders. Additionally, the situation allows the comparisons of niche shifts in displaced mantises, allowing us to understand whether such animals respect general patterns shown in terrestrial ectothermic invasive species. To do this, I adapted scripts from previous publications for analyzing niche overlap (Schoener’s D), niche expansion (E), and unfilling (U) through the centroid shift, overlap, unfilling, and expansion (COUE) scheme using presence records from GBIF and iNaturalist Research-Grade observations and bioclimatic variables available in BIOCLIM, selected according to variance inflation factor (VIF) values. I also evaluated the overlap between the sister species in the non-native range with D. Overall, there was relatively high niche expansion and unfilling patterns shared among the taxa, although species tended to have low abiotic overlap between native and alien ranges, and a relatively high niche overlap was present among congeneric species in the shared non-native area. However, such analyses may be biased due to chosen variables, taxonomic uncertainty, and lack of information on mantises’ ecology; particularly, the situation regarding H. tenuidentata/transcaucasica should be monitored and clarified, given the higher potential invasion risk of these species compared to other mantises and the uncertainties regarding which populations have reached Europe. Additionally, the biology of alien mantises should be studied in more detail in both native and non-native environments given the current critical lack of information.

Abbas Parsatalab, hamidreza Fahandej Saadi

Anushirvan Sasani often has a positive image in the stories narrated in Persian poetry and prose texts and is always described as a symbol of justice. However, in one of the Masnavis left over from the last centuries, Anushirvan is not only not just, but also a lustful king who tries to take possession of a chaste married woman by force and coercion. In this work, the pious woman, despite Anushirvan's many insistences, is not willing to go into his solitude. To the extent that out of necessity and in order to get rid of Anushirvan, she plucks out her own eyes and sends them to her, and it is after this incident that Anushirvan takes the path of regret and repentance; To the extent that out of necessity and rejection of Anushirvan, she takes out her eyes and sends them to him, and after that Anushirvan takes the path of repentance.This short poem is the work of an unknown poet named Khalil Shirazi, the oldest manuscript of which dates back to the middle of the 11th century AH and is preserved in the National Library of Iran. Some researchers believe that this Khalil Shirazi is the same Khalil Zargar Rashti, the court poet of Jamshid Khan Ishaqi in the 10th century and the owner of the missing Jamshidname...

Zhiyuan Xie, Gorm Bruun Andresen

To move towards a low-carbon society by 2050, understanding the intricate dynamics of energy systems is critical. Our study examines these interactions through the lens of hydrogen storage, dividing it into 'direct' and 'indirect' hydrogen storage. Direct hydrogen storage involves electrolysis-produced hydrogen being stored before use, while indirect storage first transforms hydrogen into gas via the Sabatier process for later energy distribution. Firstly, we utilize the PyPSA-Eur-Sec-30-path model to capture the interactions within the energy system. The model is an hour-level, one node per country system that encompasses a range of energy transformation technologies, outlining a pathway for Europe to reduce carbon emissions by 95 percent by 2050 compared to 1990, with updates every 5 years. Subsequently, we employ both quantitative and qualitative approaches to thoroughly analyze these complex relationships. Our research indicates that during the European green transition, cross-country flow of electricity will play an important role in Europe's rapid decarbonization stage before the large-scale introduction of energy storage. Under the paper cost assumptions, fuel cells are not considered a viable option. This research further identifies the significant impact of natural resource variability on the local energy mix, highlighting indirect hydrogen storage as a common solution due to the better economic performance and actively fluctuation pattern. Specifically, indirect hydrogen storage will contribute at least 60 percent of hydrogen storage benefits, reaching 100 percent in Italy. Moreover, its fluctuation pattern will change with the local energy structure, which is a distinct difference with the unchanged pattern of direct hydrogen storage and battery storage.

Jann Zosso

Guided by the Einstein equivalence principle that identifies the phenomenon of gravitation as a manifestation of the dynamics of spacetime in contrast to a localizable force, we review and explore its consequences on formulating a theory of gravity. The resulting space of metric theories of gravity may address open conceptual and observational puzzles through a wealth of effects beyond general relativity, whose traces can be searched for within today's and tomorrow's gravitational testing grounds. Above all, we offer a generic metric theory generalization of Isaacson's approach to the leading-order field equations of physical perturbations with a well-defined notion of energy-momentum carried by the gravitational waves. Within this framework, we identify the backreaction of the Isaacson energy-momentum flux onto the background spacetime with the displacement memory effect that induces a permanent distortion of space after the passage of a gravitational wave. This effect is a well-known prediction of GR whose dominant contribution captures its inherent non-linear nature, manifest in the ability of gravity to gravitate. However, the novel interpretation of memory as naturally arising within the Isaacson approach to gravitational waves comes with two main advantages. Firstly, it allows for a unified understanding of both the null and the ordinary memory effect, which are respectively sourced by unbound energy fluxes that do and do not reach asymptotic null infinity. Secondly, and most importantly, this approach allows for a consistent derivation of the memory formula for a large class of metric theories with considerable lessons to be learned for upcoming future measurements of the memory effect.

Francesca Larosa, Jaroslav Mysiak, Marco Molinari et al.

Innovation is a key component to equip our society with tools to adapt to new climatic conditions. The development of research-action interfaces shifts useful ideas into operationalized knowledge allowing innovation to flourish. In this paper we quantify the existing gap between climate research and innovation action in Europe using a novel framework that combines artificial intelligence (AI) methods and network science. We compute the distance between key topics of research interest from peer review publications and core issues tackled by innovation projects funded by the most recent European framework programmes. Our findings reveal significant differences exist between and within the two layers. Economic incentives, agricultural and industrial processes are differently connected to adaptation and mitigation priorities. We also find a loose research-action connection in bioproducts, biotechnologies and risk assessment practices, where applications are still too few compared to the research insights. Our analysis supports policy-makers to measure and track how research funding result in innovation action, and to adjust decisions if stated priorities are not achieved.

Alexis Boulin, Elena Di Bernardino, Thomas Laloë et al.

The task of simplifying the complex spatio-temporal variables associated with climate modeling is of utmost importance and comes with significant challenges. In this research, our primary objective is to tailor clustering techniques to handle compound extreme events within gridded climate data across Europe. Specifically, we intend to identify subregions that display asymptotic independence concerning compound precipitation and wind speed extremes. To achieve this, we utilise daily precipitation sums and daily maximum wind speed data derived from the ERA5 reanalysis dataset spanning from 1979 to 2022. Our approach hinges on a tuning parameter and the application of a divergence measure to spotlight disparities in extremal dependence structures without relying on specific parametric assumptions. We propose a data-driven approach to determine the tuning parameter. This enables us to generate clusters that are spatially concentrated, which can provide more insightful information about the regional distribution of compound precipitation and wind speed extremes. In the process, we aim to elucidate the respective roles of extreme precipitation and wind speed in the resulting clusters. The proposed method is able to extract valuable information about extreme compound events while also significantly reducing the size of the dataset within reasonable computational timeframes.

Yulong Li, Andy Zeng, Shuran Song

Most successes in autonomous robotic assembly have been restricted to single target or category. We propose to investigate general part assembly, the task of creating novel target assemblies with unseen part shapes. As a fundamental step to a general part assembly system, we tackle the task of determining the precise poses of the parts in the target assembly, which we we term ``rearrangement planning''. We present General Part Assembly Transformer (GPAT), a transformer-based model architecture that accurately predicts part poses by inferring how each part shape corresponds to the target shape. Our experiments on both 3D CAD models and real-world scans demonstrate GPAT's generalization abilities to novel and diverse target and part shapes.

J. Murphy

Emma Riese, Madeleine Lorås, Martin Ukrop et al.

Teaching assistants (TAs) are heavily used in computer science courses as a way to handle high enrollment and still being able to offer students individual tutoring and detailed assessments. TAs are themselves students who take on this additional role in parallel with their own studies at the same institution. Previous research has shown that being a TA can be challenging but has mainly been conducted on TAs from a single institution or within a single course. This paper offers a multi-institutional, multi-national perspective of challenges that TAs in computer science face. This has been done by conducting a thematic analysis of 180 reflective essays written by TAs from three institutions across Europe. The thematic analysis resulted in five main challenges: becoming a professional TA, student focused challenges, assessment, defining and using best practice, and threats to best practice. In addition, these challenges were all identified within the essays from all three institutions, indicating that the identified challenges are not particularly context-dependent. Based on these findings, we also outline implications for educators involved in TA training and coordinators of computer science courses with TAs.

Justin Eduviere Agheyisi, Iro Aghedo

There is a climate of insecurity in Nigeria owing to pervasive violent crime across the country. Although the wide socio-economic gap between the rich and the poor, high rate of unemployment, and governance deficit are blamed for rising insecurity, analysts often neglect the role of the built environment. Informal housing and unplanned neighborhoods are often stigmatized as spaces of crime in the global South. Drawing from the conceptual framework of permeability and crime prevention through environmental design (CPTED), we investigate the vulnerability of residential neighborhoods to security threats in Benin City. Vulnerability was interrogated at two levels. At the neighborhood level, our findings showed that environmental risk factors associated with informal housing and incremental development render the neighborhoods permeable and limit crime policing. At the residential level, our findings revealed that inappropriate target hardening limits natural surveillance and communal use of outhouse facilities renders homes indefensible. Situational crimes such as burglary and robbery are high in the absence of regular police patrols and neighborhood watch. Conclusions point to the need to incorporate informal housing and environmental risk factors into CPTED literature in the context of the cities in the global South, establishment of neighborhood or community policing to partner with the Nigerian police in crime fighting, and settlement upgrading to enhance natural surveillance, police patrol and rapid response to distress calls in the event of criminal attacks.

Rui Wang, Jiahui Chen, Guo-Wei Wei

The importance of understanding SARS-CoV-2 evolution cannot be overemphasized. Recent studies confirm that natural selection is the dominating mechanism of SARS-CoV-2 evolution, which favors mutations that strengthen viral infectivity. We demonstrate that vaccine-breakthrough or antibody-resistant mutations provide a new mechanism of viral evolution. Specifically, vaccine-resistant mutation Y449S in the spike (S) protein receptor-bonding domain (RBD), which occurred in co-mutation [Y449S, N501Y], has reduced infectivity compared to the original SARS-CoV-2 but can disrupt existing antibodies that neutralize the virus. By tracing the evolutionary trajectories of vaccine-resistant mutations in over 1.9 million SARS-CoV-2 genomes, we reveal that the occurrence and frequency of vaccine-resistant mutations correlate strongly with the vaccination rates in Europe and America. We anticipate that as a complementary transmission pathway, vaccine-resistant mutations will become a dominating mechanism of SARS-CoV-2 evolution when most of the world's population is vaccinated. Our study sheds light on SARS-CoV-2 evolution and transmission and enables the design of the next-generation mutation-proof vaccines and antibody drugs.

Giacomo Cacciapaglia, Corentin Cot, Francesco Sannino

A second wave pandemic constitutes an imminent threat to society, with a potentially immense toll in terms of human lives and a devastating economic impact. We employ the epidemic renormalisation group approach to pandemics, together with the first wave data for COVID-19, to efficiently simulate the dynamics of disease transmission and spreading across different European countries. The framework allows us to model, not only inter and extra European border control effects, but also the impact of social distancing for each country. We perform statistical analyses averaging on different level of human interaction across Europe and with the rest of the world. Our results are neatly summarised as an animation reporting the time evolution of the first and second waves of the European COVID-19 pandemic. Our temporal playbook of the second wave pandemic can be used by governments, financial markets, the industries and individual citizens, to efficiently time, prepare and implement local and global measures.

Nataliia Semerhei

The article deals with an analysis of educational aspects of the Ukrainian national context of Ukrainization of the 1920s from the perspective of studying the historiography of the issue. The author focuses on historiographical sources and scientific statements of historical, historico-pedagogical and cultural studies of the prerequisites, content, features and civilizational dimension of the educational aspect of Ukrainization as a broad policy in relation to the institutionalization and development of education, Ukrainian by nature and content. The article draws attention to coverage by historians of reforming problems of school education of that time, their analysis of ways for providing schools with required Ukrainian literature. It is pointed out that historians put an emphasis on the fact that despite its ideological foundations (efforts to implant Bolshevik power) the results of Ukrainization were related to building up the nation and state. It is stated that the current historiographical process looking into the educational dimension of Ukrainization is represented by a wide spectrum of scientific works which range of subject interests allows to highlight Ukrainization of educational space of that time as a holistic and system process which content was underpinned by objective conditions and was well thought-out and logical. The article outlines some prospects of examining the educational dimension of Ukrainization and draws attention to the value of its implementation experience in the context of the development of the modern education system of Ukraine.

T. Marthaler, J. Brunelle, M. Downer et al.