cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Decadal terminus position changes and ice thickness measurement of Menthosa Glacier in Lahaul region of North-Western Himalaya
Creators: name: Prakash, Satya
name: Sharma, Milap Chand
name: Sreekesh, S.
name: Chand, Pritam
name: Pandey, Vijendra Kumar
name: Latief, Syed Umer
name: Deswal, Sanjay
name: Manna, Ishita
name: Das, Suresh
name: Mandal, Sandip Tanu
name: Bahuguna, I. M.
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biochemistry
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 20199 Astronomical and Space Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Sociology
subject: FOS: Sociology
subject: Plant Biology

description: Glacier ice-thickness measurement and distribution is one of the essential variables to assess present status of glacier-water equivalent and its volumetric reserve as well as to model the future glacier dynamics under the climate changing scenario. Yet, substantial gaps in ice thickness information exist for the Himalayan glaciers. The present study provides a long-term assessment (1965–2016) of recessional and area change patterns, as well as the detailed field-based (2016–2017) Ground Penetrating Radar(GPR), derived ice-thickness measurement of the Menthosa Glacier, Lahaul Himalaya. Additionally, the study examines whether the modelled ice thickness from remote sensing data is consistent with the field-based GPR measurement and how can it be improved. The extensive field surveys coupled with the multi-temporal high (Corona KH-4A) to medium resolution (Landsat Enhanced Thematic Mapper+ (ETM+)/Operational Land Imager (OLI), Sentinel 2A-Multispectral Instrument (MSI)) remote sensing data and cross-sectional GPR surveyed profile measurements have been used to examine past half a century (1965–2016) glacier fluctuation and the recent ice-thickness estimations, respectively. The results show that the Menthosa Glacier receded by 301.5 ± 19.2 m during the past half a century (1965–2016) with an average annual retreat of 5.9 ± 0.4 m a−1, whereas glacier lost 0.09 km2 ice in the frontal section. Field measurement over the past one decade (2006–2017) also conforms to a continuous recessional pattern and substantial glacier degeneration particularly the extensive surface lowering and significant appearance of ice-cliffs in the ablation and lateral zones over this period. The GPR measurements (2017) show the minimum glacier ice thickness of 24 meters at 4691 m a.s.l. (in the lower part of ablation area) and maximum glacier ice thickness of 55 meters measured at 4758 m a.s.l. (in the upper left-side tributary part of ablation area). Moreover, the modelled ice thickness derived from remotely sensed data is having Root Mean Square Error (RMSE) between 38 to 72 ± 10 m as compared with GPR measured ice thickness.
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data
Creators: name: Yang, Yaoqing
name: Theisen, Ryan
name: Hodgkinson, Liam
name: Gonzalez, Joseph E.
name: Ramchandran, Kannan
name: Martin, Charles H.
name: Mahoney, Michael W.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Selecting suitable architecture parameters and training hyperparameters is essential for enhancing machine learning (ML) model performance. Several recent empirical studies conduct large-scale correlational analysis on neural networks (NNs) to search for effective \emph{generalization metrics} that can guide this type of model selection. Effective metrics are typically expected to correlate strongly with test performance. In this paper, we expand on prior analyses by examining generalization-metric-based model selection with the following objectives: (i) focusing on natural language processing (NLP) tasks, as prior work primarily concentrates on computer vision (CV) tasks; (ii) considering metrics that directly predict \emph{test error} instead of the \emph{generalization gap}; (iii) exploring metrics that do not need access to data to compute. From these objectives, we are able to provide the first model selection results on large pretrained Transformers from Huggingface using generalization metrics. Our analyses consider (I) hundreds of Transformers trained in different settings, in which we systematically vary the amount of data, the model size and the optimization hyperparameters, (II) a total of 51 pretrained Transformers from eight families of Huggingface NLP models, including GPT2, BERT, etc., and (III) a total of 28 existing and novel generalization metrics. Despite their niche status, we find that metrics derived from the heavy-tail (HT) perspective are particularly useful in NLP tasks, exhibiting stronger correlations than other, more popular metrics. To further examine these metrics, we extend prior formulations relying on power law (PL) spectral distributions to exponential (EXP) and exponentially-truncated power law (E-TPL) families.
title: Pobreza no trabalho
title: O papel dos rendimentos e da situação familiar
titleType: Subtitle
Creators: name: Peralta, Susana
name: Carvalho, Bruno
name: Esteves, Mariana
name: Fonseca, Miguel
Publisher: name: Universidade Nova de Lisboa Nova School of Business and Economics; Fundação \\\"La Caixa\\\"
Year: 2022

description: O relatório “Pobreza no trabalho: O papel dos rendimentos e da situação familiar” analisa a situação da pobreza no trabalho em Portugal com os dados do Inquérito às Condições de Vida e Rendimento (ICOR) realizado em 2020. Um em cada 10 trabalhadores portugueses são pobres; este estudo visa caracterizar a estrutura dos rendimentos destes trabalhadores. O relatório mostra que a pobreza no trabalho não está sempre associada a baixos rendimentos e salienta a importância da composição do agregado familiar. É discutido o papel das transferências sociais no alívio da pobreza no trabalho.
description: Peralta, S., Carvalho, B. P., Esteves, M. & Fonseca, M.  (2022) Pobreza no trabalho: O papel dos rendimentos e da situação familiar. Nova School of Business and Economics; Fundação “La Caixa”
Ocean Challenge Accepted - How pioneering algae-based products could combat climate change
Creators: name: European Science Communication Institute
Publisher: name: Zenodo
Year: 2023
Subjects: Ciruclar Economy
Algae
Algae Value Chain
Aquaculture
Agriculture
Textile
Feed
Food

description: This week more than 40 scientists from across Europe travelled to Oslo to launch a new research initiative called LOCALITY, which stands for "Leading Ocean's Circular Algae Transition in the Baltic and the North Sea". The project aims to tackle climate change challenges through innovative and sustainable algae-based solutions. Led by the Norwegian Institute for Water Research NIVA, the project has secured funding of up to 8.5 million Euros by the European Commission. But what is the plan?
Margarida Costa, the Coordinator of the LOCALITY project explains the key strategies of the project: "By cultivating seaweed from Kattegat and harvesting cyanobacteria from the Gulf of Finland or Botnia, we want to reduce the impact of climate change on oceans. Our efforts include the simultaneous removal of nutrients, which helps combat the excessive enrichment of water with nutrients, often leading to harmful algal blooms and ecological imbalances. But this is only the first half of our plan. We also want to transform different industries, who could make use of our algae-based biomass." 
In other words, the aim is to refine this biomass into new and innovative raw materials for novel algae-based products. They include new plant-based functional ingredients fighting sea lice infections for the use in aquaculture, novel food products for human consumption and ecological dye for the textile industry, promoting a sustainable and resource-efficient economy. Both industry leaders, such as Aller Aqua from Denmark and start-ups like Mounid from Sweden or Viva Maris and Quazy Food from Germany, will be developing and testing these product lines. 
Margarida Costa expresses her optimism for this ground-breaking endeavour: "This project has the potential to transform industries and lead us towards a more sustainable future. At the same time, LOCALITY stands at the forefront of combating climate change, protecting the environment, and working for a sustainable future for generations to come."
An integrated ASTER-based approach for mapping carbonatite and iron oxide-apatite deposits
Creators: name: Malainine, Cheikh-Elwali
name: Raji, Otmane
name: Ouabid, Muhammad
name: Khouakhi, Abdou
name: Bodinier, Jean-Louis
name: Laamrani, Ahmed
name: Messbahi, Hicham El
name: Youbi, Nasrrddine
name: Boumehdi, Moulay Ahmed
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Space Science
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Inorganic Chemistry

description: Mapping of carbonatites and related mineral deposits has occupied prominent place in mineral resource exploration programs given their potential to host valuable concentrations of critical metals such as rare earth elements and niobium. Based on spectral characteristics of most indicative minerals for these rocks, a mapping approach was developed using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data. The combination of band rationing outcomes with components from the principal component analysis and minimum noise fraction techniques highlighted the targeted rocks, with the excellent prospective zone representing ∼ 0.2% of the total investigated area. This approach was successfully applied to the Gleibat Lafhouda complex to rapidly delineate carbonatites and iron oxide-apatite ore outcrops. Results were validated through field observations and in-situ geochemical analysis using a portable X-ray fluorescence analyzer. Field data have also served as training data to perform a supervised classification, allowing further improvement of the mapping results.
title: Inflammatory response following peripheral endovascular treatment correlates with the extent of peripheral arterial injury
Creators: name: Turk, Tajana
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Vascular
subject: Interventional vascular
subject: Arteries / Aorta
subject: Catheter arteriography
subject: Angioplasty
subject: Stents
subject: Biological effects
subject: Arteriosclerosis
subject: Inflammation

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Endovascular treatment (EVT), as a minimally invasive therapy, treats only a diseased vessel segment. However, dilatation with high pressure balloons and implantation of stents cause periprocedural injury of the arterial wall by endothelial...
title: Imaging Findings and Clues in the Diagnosis of Orbital Trauma
Creators: name: Calderon Miranda, Willem Guillermo
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Trauma
subject: Education
subject: MR
subject: CT
subject: Trauma
subject: Neuroradiology brain
subject: Head and neck

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: To review the most common conditions in orbital trauma. To discuss the key imaging findings on CT and MRI in orbital trauma. To describe the differential diagnosis and probable...
Y3Fe5O12 Spin Pumping for Quantitative Understanding of Pure Spin Transport and Spin Hall Effect in a Broad Range of Materials
Creators: name: Du, Chunhui
name: Wang, Hailong
name: Hammel, P. Chris
name: Yang, Fengyuan
Publisher: name: arXiv
Year: 2014
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Using Y3Fe5O12 (YIG) thin films grown by our sputtering technique, we study dynamic spin transport in nonmagnetic (NM), ferromagnetic (FM) and antiferromagnetic (AF) materials by ferromagnetic resonance (FMR) spin pumping. From both inverse spin Hall effect (ISHE) and damping enhancement, we determine the spin mixing conductance and spin Hall angle in many metals. Surprisingly, we observe robust spin conduction in AF insulators excited by an adjacent YIG at resonance. This demonstrates that YIG spin pumping is a powerful and versatile tool for understanding spin Hall physics, spin-orbit coupling (SOC), and magnetization dynamics in a broad range of materials.
description: 24 pages, 8 figures, 1 table
Hybrid ensemble modeling for flash flood potential assessment and susceptibility analysis of a Himalayan river catchment
Creators: name: Singh, Gagandeep
name: Pandey, Ashish
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified

description: The occurrence of frequent flash floods in the Indian Himalayan state of Uttarakhand causes massive destruction and damage to life and property every year. In this study, five bivariate statistical models, namely Frequency Ratio, Fuzzy Membership Value, Weights of Evidence (WOE), Statistical Index (SI), and Information Value (IV), were individually integrated with the Index of Entropy (IOE). These models were employed to calculate the flash flood potential index and identify susceptible zones in the Mandakini River Basin. 39 flash flood locations, 39 non-flash flood locations, and 15 flash flood conditioning factors were utilized for training and testing the models with 70% and 30% of the dataset, respectively. The model performances were examined using receiver operating characteristics curves. This best prediction rate performance was featured by SI-IOE and IV-IOE with an AUC = 0.896 followed by WOE-IOE (AUC = 0.889). The results revealed that the areas with high and very high susceptibility cover approximately 40% of the study area.
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors
Creators: name: Göpfert, Christina
name: Haig, Alex
name: Chow, Yinlam
name: Hsu, Chih-wei
name: Vendrov, Ivan
name: Lu, Tyler
name: Ramachandran, Deepak
name: Pham, Hubert
name: Ghavamzadeh, Mohammad
name: Boutilier, Craig
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Interactive recommender systems have emerged as a promising paradigm to overcome the limitations of the primitive user feedback used by traditional recommender systems (e.g., clicks, item consumption, ratings). They allow users to express intent, preferences, constraints, and contexts in a richer fashion, often using natural language (including faceted search and dialogue). Yet more research is needed to find the most effective ways to use this feedback. One challenge is inferring a user's semantic intent from the open-ended terms or attributes often used to describe a desired item, and using it to refine recommendation results. Leveraging concept activation vectors (CAVs) [26], a recently developed approach for model interpretability in machine learning, we develop a framework to learn a representation that captures the semantics of such attributes and connects them to user preferences and behaviors in recommender systems. One novel feature of our approach is its ability to distinguish objective and subjective attributes (both subjectivity of degree and of sense), and associate different senses of subjective attributes with different users. We demonstrate on both synthetic and real-world data sets that our CAV representation not only accurately interprets users' subjective semantics, but can also be used to improve recommendations through interactive item critiquing.
title: CHARGE Syndrome: Radiological Findings
Creators: name: Gallego Riol, Marta
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Paediatric
subject: Ear / Nose / Throat
subject: Eyes
subject: CT
subject: MR
subject: Ultrasound
subject: Computer Applications-Detection, diagnosis
subject: Genetic defects

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: To make known the CHARGE syndrome and description of the radiological findings in this...
On the renormalization of the electroweak chiral Lagrangian with a Higgs
Creators: name: Gavela, M. B.
name: Kanshin, K.
name: Machado, P. A. N.
name: Saa, S.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We consider the scalar sector of the effective non-linear electroweak Lagrangian with a light "Higgs" particle, up to four derivatives in the chiral expansion. The complete off-shell renormalization procedure is implemented, including one loop corrections stemming from the leading two-derivative terms, for finite Higgs mass. This determines the complete set of independent chiral invariant scalar counterterms required for consistency; these include bosonic operators often disregarded. Furthermore, new counterterms involving the Higgs particle which are apparently chiral non-invariant are identified in the perturbative analysis. A novel general parametrization of the pseudoescalar field redefinitions is proposed, which reduces to the various usual ones for specific values of its parameter; the non-local field redefinitions reabsorbing all chiral non-invariant counterterms are then explicitly determined. The physical results translate into renormalization group equations which may be useful when comparing future Higgs data at different energies.
title: Imaging Characteristics of Mature Ovarian Teratomas
Creators: name: Ciuhodaru, Octavia
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Genital / Reproductive system female
subject: Pelvis
subject: CT
subject: Ultrasound
subject: MR
subject: Diagnostic procedure
subject: Education and training

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: 1. to enumerate the most common types of ovarian teratomas; 2. to highlight the main semiological elements that support the diagnosis, evaluated by ultrasonography, computer tomography (CT) and magnestic resonance (MR) 3. to illustrate the...
Impacto das Avaliações de Interface na Qualidade de um Software Previdenciário
Creators: name: Pozzolo, Douglas H.
name: Maciel, Cristiano
name: Gomes, Raphael De S. R.
Publisher: name: Zenodo
Year: 2020

description: Neste estudo são aplicados métodos e técnicas de Interação Humano-Computador em um software previdenciário em desenvolvimento - o WebRecad, mais especificamente no que se diz respeito ao seu sistema de ajuda. Com base nos resultados das avaliações de usabilidade e user experience, são propostas melhorias ao software. Tais estratégias permitem a empresa se apropriar delas para o desenvolvimento de seus sistemas.
Global Seismic Risk Map
Creators: name: Silva, Vitor
name: Calderon, Alejandro
name: Caruso, Martina
name: Costa, Catalina
name: Dabbeek, Jamal
name: Hoyos, Maria Camila
name: Karimzadeh, Zarin
name: Martins, Luis
name: Paul, Nicole
name: Rao, Anirudh
name: Simionato, Michele
name: Yepes-Estrada, Catarina
name: Crowley, Helen
name: Jaiswal, Kishor
Publisher: name: Zenodo
Year: 2023

description: The Global Seismic Risk Map (v2023.1) poster comprises three global maps, and a ranking of the top 15 countries according to five risk metrics. These results are an update of the global maps released in 2018, as described in Silva et al. (2020). The main map presents the geographic distribution of average annual loss of built-up area due to ground shaking in the residential, commercial and industrial building stock. It does not consider the effects
of tsunamis, liquefaction, landslides, and fires following earthquakes. The Global Seismic Hazard Map depicts the geographic distribution of the Peak Ground Acceleration (PGA) with a 10% probability of being exceeded in 50 years, computed for reference soil conditions (shear wave velocity based on topography). The Global Exposure Map depicts the geographic distribution of residential, commercial, and industrial buildings. The average annual losses and number of buildings are presented on a hexagonal grid, with a spacing of 0.30 x 0.34 decimal degrees (approximately 1,000 km2 at the equator). The central bar plots present the ranking of the top 15 countries or territories according to five risk metrics: Average Annual Economic losses (in billions of USD), Average Annual number of Buildings Lost (in thousands), Average Annual Built-up Area Lost (in millions of m2
), Average Annual Fatalities (in thousands), and Average Annual population left Homeless (in millions). The economic losses are from direct physical damage to buildings due to shaking, and thus damage to infrastructure or indirect losses due to business interruption are not included. The fatalities are due to earthquake-induced structural collapse of buildings and do not consider indirect fatalities such as those from post-earthquake epidemics. These risk metrics were computed using the event-based calculator of the OpenQuake engine, an open-source software for seismic hazard and risk analysis developed by the GEM Foundation. The seismic hazard, exposure and vulnerability models employed in these calculations were provided by national institutions, or developed within the scope of regional programs or bilateral collaborations. These global maps and the underlying databases are based on best available and publicly accessible datasets and models. Due to possible model limitations, regions portrayed with low risk may still experience potentially damaging earthquakes. Additional hazard and risk metrics for each country can be explored at globalquakemodel.org/gem
title: MRI evaluation of breast cancer response post neoadjuvant treatment: correlation with miRNAs as biomarkers
Creators: name: McDermott, Ailbhe
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Breast
subject: MR
subject: Radiobiology
subject: Molecular, genomics and proteomics

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Breast cancer is the most common cancer in women worldwide. Neoadjuvant chemotherapy (NAC) has become increasingly used in the management of breast cancer. Initially introduced to facilitate resection of inoperable cancers, it is now also employed...
The leap to ordinal: detailed functional prognosis after traumatic brain injury with a flexible modelling approach
Creators: name: Bhattacharyay, Shubhayu
name: Milosevic, Ioan
name: Wilson, Lindsay
name: Menon, David K.
name: Stevens, Robert D.
name: Steyerberg, Ewout W.
name: Nelson, David W.
name: Ercole, Ari
name: investigators/participants, the CENTER-TBI
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: J.3; I.2.0; I.5.1

description: When a patient is admitted to the intensive care unit (ICU) after a traumatic brain injury (TBI), an early prognosis is essential for baseline risk adjustment and shared decision making. TBI outcomes are commonly categorised by the Glasgow Outcome Scale-Extended (GOSE) into 8, ordered levels of functional recovery at 6 months after injury. Existing ICU prognostic models predict binary outcomes at a certain threshold of GOSE (e.g., prediction of survival [GOSE>1] or functional independence [GOSE>4]). We aimed to develop ordinal prediction models that concurrently predict probabilities of each GOSE score. From a prospective cohort (n=1,550, 65 centres) in the ICU stratum of the Collaborative European NeuroTrauma Effectiveness Research in TBI (CENTER-TBI) patient dataset, we extracted all clinical information within 24 hours of ICU admission (1,151 predictors) and 6-month GOSE scores. We analysed the effect of 2 design elements on ordinal model performance: (1) the baseline predictor set, ranging from a concise set of 10 validated predictors to a token-embedded representation of all possible predictors, and (2) the modelling strategy, from ordinal logistic regression to multinomial deep learning. With repeated k-fold cross-validation, we found that expanding the baseline predictor set significantly improved ordinal prediction performance while increasing analytical complexity did not. Half of these gains could be achieved with the addition of 8 high-impact predictors (2 demographic variables, 4 protein biomarkers, and 2 severity assessments) to the concise set. At best, ordinal models achieved 0.76 (95% CI: 0.74-0.77) ordinal discrimination ability (ordinal c-index) and 57% (95% CI: 54%-60%) explanation of ordinal variation in 6-month GOSE (Somers' D). Our results motivate the search for informative predictors for higher GOSE and the development of ordinal dynamic prediction models.
description: 68 pages, 4 figures, 4 tables, 1 appendix, 6 supplementary figures, 4 supplementary tables, 3 supplementary methods, 1 supplementary result
title: Assessing haemoglobin levels through computed tomography: how far can we go?
Creators: name: Tufik, Sergio Brasil
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Thorax
subject: Emergency
subject: Vascular
subject: CT
subject: Decision analysis
subject: Observer performance
subject: Blood
subject: Haemorrhage

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: To investigate the value of computed tomography (CT) as an independent predictor of hemoglobin levels in a hospitalized...
Nematic state stabilized by off-site Coulomb interaction in iron-based superconductors
Creators: name: Zheng, Xiao-Jun
name: Huang, Zhong-Bing
name: Liu, Da-Yong
name: Zou, Liang-Jian
Publisher: name: arXiv
Year: 2014
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Using a variational Monte Carlo method, we investigate the nematic state in iron-base superconductors based on a three-band Hubbard model. Our results demonstrate that the nematic state, formed by introducing an anisotropic hopping order into the projected wave function, can arise in the underdoped regime when a realistic off-site Coulomb interaction $V$ is considered. {\color {red} We demonstrate that the off-site Coulomb interaction $V$, which is neglected so far in the analysis of iron-base superconductors, make a dominant contribution to the stabilization of nematic state. We calculate the doping dependencies of the anisotropic properties such as the unequal occupation of $d_{xz}$ and $d_{yz}$ orbitals, anisotropies of kinetic energy and spin correlations, and show that they are all suppressed upon electron doping, which are consistent with the intrinsic anisotropies observed by optical spectrum measurement and ARPES experiments.
description: 5 pages, 4 figures
title: More on Fascist Monuments and Buildings in Italy
title: Ancora sugli edifici e i monumenti fascisti in Italia | Mehr über faschistische Gebäude und Denkmäler in Italien
titleType: AlternativeTitle
Creators: name: Cajani, Luigi
Publisher: name: L. Cajani, More on Fascist Monuments and Buildings in Italy, «Public history weekly», 7, 2019, n. 11
Year: 2019

description: The meaning and function of historical monuments and symbols depends from many and manifold variables: formal features, location, social discourses, historical and political context.[1] For instance, a monument to a Soviet soldier does not have the same meaning and fate in Berlin or in Tallinn today as at the time it was build, and the same can be said for the monuments to Christopher Columbus in the USA, in Latin America, in Spain and in Italy, or for the monuments to the Confederates in the USA. In some European post-communist States Nazi and communist symbols have been forbidden, but in western European States it ist legal to display hammer and sickle.
description: Il significato e la funzione dei monumenti e dei simboli storici dipendono da molte diverse variabili: i loro caratteri formali, il luogo in cui si trovano, il contesto storico e politico, e i discorsi sociali di cui sono oggetto.[1] Per fare qualche esempio, un monumento a un soldato sovietico oggi non ha lo stesso significato e lo stesso destino a Berlino o a Tallinn, e lo stesso vale per i monumenti a Cristoforo Colombo negli USA, in America latina, in Spagna o in Italia, nonché per i monumenti ai Confederati negli USA, guardati diversamente oggi rispetto a venti anni fa. E ancora, in alcuni Stati postcomunisti europei sono stati vietati i simboli comunisti oltre a quelli nazisti, mentre negli Stati dell’Europa occidentale esibire la falce e il martello è del tutto legale.
description: Der Name Rom löst eine Lawine von Assoziationen aus. Wir haben sofort die berühmtesten Denkmäler der Antike vor Augen, wie das Kolosseum oder das Pantheon. Die “Ewige Stadt“, das ist auch der Vatikan, Staat und Sitz des Papstes, das Kapitol und der Trevi-Brunnen. Bildsymbole, die auf der ganzen Welt bekannt sind. Universelle kulturelle Codes, die keiner Begründung oder Erklärung benötigen. Weniger bekannt ist dagegen das faschistische Erbe der Stadt, obwohl Mussolini sicherlich zu den Persönlichkeiten zählt, die am stärksten mit der Geschichte Italiens im 20. Jahrhundert in Verbindung gebracht werden. Diese Vergangenheit trifft man in der Stadt praktisch auf Schritt und Tritt an, und im Gegensatz zu anderen Ländern mit diktatorischer Vergangenheit werden diese materiellen Überreste hier mit großer Nachsicht behandelt. Wie lässt sich dieses Phänomen erklären?
Retrieving false claims on Twitter during the Russia-Ukraine conflict
Creators: name: La Gatta, Valerio
name: Wei, Chiyu
name: Luceri, Luca
name: Pierri, Francesco
name: Ferrara, Emilio
Publisher: name: arXiv
Year: 2023
Subjects: subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences
subject: H.3.3

description: Nowadays, false and unverified information on social media sway individuals' perceptions during major geo-political events and threaten the quality of the whole digital information ecosystem. Since the Russian invasion of Ukraine, several fact-checking organizations have been actively involved in verifying stories related to the conflict that circulated online. In this paper, we leverage a public repository of fact-checked claims to build a methodological framework for automatically identifying false and unsubstantiated claims spreading on Twitter in February 2022. Our framework consists of two sequential models: First, the claim detection model identifies whether tweets incorporate a (false) claim among those considered in our collection. Then, the claim retrieval model matches the tweets with fact-checked information by ranking verified claims according to their relevance with the input tweet. Both models are based on pre-trained language models and fine-tuned to perform a text classification task and an information retrieval task, respectively. In particular, to validate the effectiveness of our methodology, we consider 83 verified false claims that spread on Twitter during the first week of the invasion, and manually annotate 5,872 tweets according to the claim(s) they report. Our experiments show that our proposed methodology outperforms standard baselines for both claim detection and claim retrieval. Overall, our results highlight how social media providers could effectively leverage semi-automated approaches to identify, track, and eventually moderate false information that spreads on their platforms.
description: 7 pages, 2 figures, WWW23 Companion Proceedings
title: Obstructed defecation: MR imaging features of a nightmare
Creators: name: Haliloglu, Nuray
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Abdomen
subject: Gastrointestinal tract
subject: MR
subject: Defecography
subject: Pelvic floor dysfunction

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: We aimed; to define normal and obstructed defecation, to summarize the presentation of a patient with obstructed defecation, to overview diagnostic approach, to demonstrate MR defecography findings of pelvic floor abnormalities in patients with...
title: Molecular imaging of depression-related brain metabolites using CEST technique - phantom study
Creators: name: Pankowska, Anna
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Metabolic disorders
subject: Physics
subject: Molecular imaging
subject: MR
subject: Neuroradiology brain
subject: Molecular imaging

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: CEST is a technique of metabolic imaging which may be applied to represent changes in brain metabolite concentrations in states like depression and anxiety. It is known that the z-spectrum in contrast to MRS spectrum is a combined result and does...
Probing the coverage of nanoparticles by biomimetic membranes through nanoplasmonics
Creators: name: Cardellini, Jacopo
name: Ridolfi, Andrea
name: Donati, Melissa
name: Giampietro, Valentina
name: Severi, Mirko
name: Brucale, Marco
name: Valle, Francesco
name: Bergese, Paolo
name: Montis, Costanza
name: Caselli, Lucrezia
name: Berti, Debora
Publisher: name: arXiv
Year: 2023
Subjects: subject: Biomolecules (q-bio.BM)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Biological Physics (physics.bio-ph)
subject: FOS: Biological sciences
subject: FOS: Physical sciences

description: Although promising for biomedicine, the clinical translation of inorganic nanoparticles (NPs) is limited by low biocompatibility and stability in biological fluids. A common strategy to circumvent this drawback consists in disguising the active inorganic core with a lipid bilayer coating, reminiscent of the structure of the cell membrane to redefine the chemical and biological identity of NPs. While recent reports introduced membrane coating procedures for NPs, a robust and accessible method to quantify the integrity of the bilayer coverage is not yet available. To fill this gap, we prepared SiO2 nanoparticles (SiO2NPs) with different membrane coverage degrees and monitored their interaction with AuNPs by combining microscopic, scattering, and optical techniques. The membrane-coating on SiO2NPs induces spontaneous clustering of AuNPs, whose extent depends on the coating integrity. Remarkably, we discovered a linear correlation between the membrane coverage and a spectral descriptor for the AuNPs plasmonic resonance, spanning a wide range of coating yields. These results provide a fast and cost-effective assay to monitor the compatibilization of NPs with biological environments, essential for bench tests and scale-up. In addition, we introduce a robust and scalable method to prepare SiO2NPsAuNPs hybrids through spontaneous self assembly, with a high fidelity structural control mediated by a lipid bilayer.
NW-FVA Waldschutzinfo Nr. 2023-01
Creators: name: Langer, Gitta
name: Ihlemann, Anette
name: Sutmöller, Johannes
name: Rohde, Martin
Publisher: name: Zenodo
Year: 2023
Subjects: Witterung 2022
Waldschutz

description: Waldschutzinformation 2023-01 der NW-FVA Göttingen zum Thema Witterung des Jahres 2022 Korrigierte Fassung
On integrability of discrete variational systems. Octahedron relations
Creators: name: Boll, Raphael
name: Petrera, Matteo
name: Suris, Yuri B.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We elucidate consistency of the so-called corner equations which are elementary building blocks of Euler-Lagrange equations for two-dimensional pluri-Lagrangian problems. We show that their consistency can be derived from the existence of two independent octahedron relations. We give explicit formulas for octahedron relations in terms of corner equations.
description: 18 pp
Global Seismic Risk Map
Creators: name: Silva, Vitor
name: Calderon, Alejandro
name: Caruso, Martina
name: Costa, Catalina
name: Dabbeek, Jamal
name: Hoyos, Maria Camila
name: Karimzadeh, Zarin
name: Martins, Luis
name: Paul, Nicole
name: Rao, Anirudh
name: Simionato, Michele
name: Yepes-Estrada, Catarina
name: Crowley, Helen
name: Jaiswal, Kishor
Publisher: name: Zenodo
Year: 2023

description: The Global Seismic Risk Map (v2023.1) poster comprises three global maps, and a ranking of the top 15 countries according to five risk metrics. These results are an update of the global maps released in 2018, as described in Silva et al. (2020). The main map presents the geographic distribution of average annual loss of built-up area due to ground shaking in the residential, commercial and industrial building stock. It does not consider the effects
 of tsunamis, liquefaction, landslides, and fires following earthquakes. The Global Seismic Hazard Map depicts the geographic distribution of the Peak Ground Acceleration (PGA) with a 10% probability of being exceeded in 50 years, computed for reference soil conditions (shear wave velocity based on topography). The Global Exposure Map depicts the geographic distribution of residential, commercial, and industrial buildings. The average annual losses and number of buildings are presented on a hexagonal grid, with a spacing of 0.30 x 0.34 decimal degrees (approximately 1,000 km2 at the equator). The central bar plots present the ranking of the top 15 countries or territories according to five risk metrics: Average Annual Economic losses (in billions of USD), Average Annual number of Buildings Lost (in thousands), Average Annual Built-up Area Lost (in millions of m2
 ), Average Annual Fatalities (in thousands), and Average Annual population left Homeless (in millions). The economic losses are from direct physical damage to buildings due to shaking, and thus damage to infrastructure or indirect losses due to business interruption are not included. The fatalities are due to earthquake-induced structural collapse of buildings and do not consider indirect fatalities such as those from post-earthquake epidemics. These risk metrics were computed using the event-based calculator of the OpenQuake engine, an open-source software for seismic hazard and risk analysis developed by the GEM Foundation. The seismic hazard, exposure and vulnerability models employed in these calculations were provided by national institutions, or developed within the scope of regional programs or bilateral collaborations. These global maps and the underlying databases are based on best available and publicly accessible datasets and models. Due to possible model limitations, regions portrayed with low risk may still experience potentially damaging earthquakes. Additional hazard and risk metrics for each country can be explored at globalquakemodel.org/gem
title: Computed Tomography Angiography in Aortic Disease: what the surgeon needs to know.
Creators: name: Gentile, Giovanni
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Cardiovascular system
subject: Arteries / Aorta
subject: Emergency
subject: CT-Angiography
subject: CT
subject: Image manipulation / Reconstruction
subject: Contrast agent-intravenous
subject: Technical aspects
subject: Computer Applications-Detection, diagnosis
subject: Aneurysms
subject: Dissection
subject: Dilatation

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: To provide the radiology resident, in peripheral hospitals with no specialized cardiothoracic units, important diagnostic skills to diagnose acute aortic syndrome. To describe CT Angiography technique and intravenous Contrast Media optimization. To...
title: Essays in fiscal decentralisation effects on economic growth, health and education
Creators: name: Ahmad, Iftikhar
Publisher: name: University of Kent
Year: 2022

description: The first essay discusses the effects of fiscal decentralisation on economic growth in Pakistan, where the resource distribution formula was based on single-criterion (i.e. population only). Following the cointegration approach, this is the first ever study to disentangle the short run effects of fiscal decentralisation from its long run implications on the economic growth in Pakistan. The automated general-to-specific (Gets) modelling technique was adopted to find a representative parsimonious model, for a relatively short time series dataset. The study identified that in Pakistan, the focus mainly remained on partial fiscal decentralisation, where the provinces remained dependent upon federal transfers. Evidence suggests a long run cointegrating relationship between fiscal decentralisation and economic growth, making us aware of the immediate consequences of a resource shift policy, in addition to its long-run effects. Analysis suggests that in order to stimulate economic growth, emphasis should be shifted towards entrusting provinces with higher taxation powers. In addition, the diversification of the resource distribution formula, with the inclusion of efficiency enhancing measures, might also help in achieving higher economic efficiency. Education and health sectors are known to have massive impact on the quality of human life. In this context, health sector is discussed in the second essay to analyse the impact of fiscal decentralisation on various health sector indicators in Pakistan. Two datasets were used for the separate analysis of the national (1974-2009) and provincial (1980-2001) health indicators. It was learnt that health sector remained neglected both at the national and provincial level. To a surprise, negative long run cointegrating relationship was found for the effects of federal transfers on health expenditures at the national level. The provincial analysis however suggests that federal transfers improved hospital beds availability in the economically active provinces, which were presumably more efficient. Provincial autonomy failed to play a role in the improvement of the health sector. The analysis highlights the social implications of federal transfers. Differences in results for economically distinct provinces hint towards the efficiency aspect of resource utilisation.
title: Elastography of the penile tunica albuginea and cavernous bodies.
Creators: name: Dynnyk, Oleh
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Genital / Reproductive system male
subject: Elastography
subject: Ultrasound
subject: Diagnostic procedure
subject: Connective tissue disorders

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Erectile dysfunction (ED), caused by vascular factors, is one of the most common male sexual disorders. These vascular factors can be divided into pre-, intra- and post-cavernous levels. The venoocclusive disorders are important in ED. Corporal...
Improving the Sensitivity of Gamma-Ray Telescopes to Dark Matter Annihilation in Dwarf Spheroidal Galaxies
Creators: name: Carlson, Eric
name: Hooper, Dan
name: Linden, Tim
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The Fermi-LAT collaboration has studied the gamma-ray emission from a stacked population of dwarf spheroidal galaxies and used this information to set constraints on the dark matter annihilation cross section. Interestingly, their analysis uncovered an excess with a test statistic (TS) of 8.7. If interpreted naively, this constitutes a 2.95 sigma local excess (p-value=0.003), relative to the expectations of their background model. In order to further test this interpretation, the Fermi-LAT team studied a large number of blank sky locations and found TS>8.7 excesses to be more common than predicted by their background model, decreasing the significance of their dwarf excess to 2.2 sigma (p-value=0.027). We argue that these TS>8.7 blank sky locations are largely the result of unresolved blazars, radio galaxies, and starforming galaxies, and show that multi-wavelength information can be used to reduce the degree to which such sources contaminate the otherwise blank sky. In particular, we show that masking regions of the sky that lie within 1 degree of sources contained in the BZCAT or CRATES catalogs reduces the fraction of blank sky locations with TS>8.7 by more than a factor of two. Taking such multi-wavelength information into account can enable experiments such as Fermi to better characterize their backgrounds and increase their sensitivity to dark matter in dwarf galaxies, the most important of which remain largely uncontaminated by unresolved point sources. We also note that for the range of dark matter masses and annihilation cross sections currently being tested by studies of dwarf spheroidal galaxies, simulations predict that Fermi should be able to detect a significant number of dark matter subhalos. These subhalos constitute a population of sub-threshold gamma-ray point sources and represent an irreducible background for searches for dark matter annihilation in dwarf galaxies.
description: 5 pages, 3 figures
title: Evaluation of regional, myocardial disturbances of perfusion and fibrotic transformation processes (ReMPFi study) after tangential whole-breast irradiation
Creators: name: Zeh, Antonia
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Cardiac
subject: Breast
subject: Radioprotection / Radiation dose
subject: MR-Diffusion/Perfusion
subject: MR-Functional imaging
subject: Contrast agent-intravenous
subject: Dosimetry
subject: Treatment effects
subject: Biological effects
subject: Image registration
subject: Radiotherapy techniques

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Several studies reported an increased rate of cardiac events related to left-sided breast irradiation 1-4 .The purpose of this study is to improve our understanding of the nature of radiation effects on the human organism in general and on the heart...
title: The development and review of patient information leaflets for varicoceole embolisation and fluoroscopy guided joint injection examinations
Creators: name: Vassallo, Trevor
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Ethics
subject: Fluoroscopy
subject: Interventional non-vascular
subject: Education and training

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Radiology interventional procedures are continually developing, requiring associated patient information leaflets (PILs). The general notion is that PILs are an essential educational tool for patients who are eager to acquire more information...
Replication package for: No Evidence of a Major Learning Slide 14 Months into the COVID-19 Pandemic in Denmark
Creators: name: Birkelund, Jesper
name: Karlson, Kristian
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Sociology
subject: FOS: Sociology
subject: Inequality and Stratification
subject: Educational Sociology
subject: Social and Behavioral Sciences

description: Replication package for: No Evidence of a Major Learning Slide 14 Months into the COVID-19 Pandemic in Denmark