fairdataihub/poster-sentry-training-data huggingface dataset:
MEASURED AND THEORETICAL SELF- AND N2-BROADENED LINE PARAMETERS IN THE 6 BAND OF CH3D V. Malathy Devia, D. Chris Bennera, Keeyoon Sungb, Mary Ann H. Smithc, Arlan Mantzd, Adriana Predoi-Crosse, Tatyana Sinyakovaf, Jeanna Buldyrevaf aDepartment of Physics, College of William and Mary, Williamsburg, VA, USA; bJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA; cScience Directorate, NASA Langley Research Center, Hampton, VA, USA; dDepartment of Physics, Astronomy and Geophysics Connecticut College, New London, CT, USA; eDepartment of Physics and Astronomy, University of Lethbridge, Lethbridge, Canada; fInstitute UTINAM, University of Franche-Comte, Besancon, France
Page | 1 Leicester Temporal Geodemographic Classification Nouh AL-Mahrouqi*1 and Stefano De Sabbata†1 1School of Geography, Geology and the Environment, University of Leicester, LE2 2LH GISRUK 2023 Summary The city of Leicester (UK) has seen large socio-demographic changes over the past century, gaining complex social, economic and multicultural geographies. Such changes are reflected in the data collected through the census and can be illustrated by developing a temporal geodemographic classification. This paper presents the results of a Master's dissertation project aimed at developing a temporal geodemographic classification for Leicester's urban area, including the Leicester Local Authority District, as well as the Oadby and Wigston Local Authority District, analysing its changing socio-economic structure over three censuses. KEYWORDS: Temporal Geodemographics, Leicester, Cluster Analysis, K-means, UK census 1. Introduction and Background The socio-economic and demographic characteristics of cities evolve throughout time due to a wide range of factors, including changes to the built environment and migration (Gale & Longley, 2013). The socio-spatial structure of places can quickly alter due to a variety of causes that have an impact on societies. Exploring these changes is essential to help policymakers in evaluating social and economic initiatives and interventions. In recent decades, summary indicators of neighbourhoods' demographic, economic, and social characteristics have been explored using geodemographic classifications. In particular, Singleton and Longley (2015) discussed the importance of developing local, specialised classifications for the analysis of cities. This paper presents the work completed for a Master's dissertation (AL-Mahrouqi, 2022) at the University of Leicester. The objective was to develop a temporal geodemographic classification (see, e.g., Patias et al., 2022) for Leicester using the 1991, 2001 and 2011 censuses to find out the changes and stability in the socio-economic characteristics of Leicester across the two decades. 2. Methods The research followed the standard framework for creating a geodemographic classification, including data acquisition, manipulation, and clustering analysis. Leicester's demographic, socio-economic and housing data were obtained from the Office for National Statistics for the UK censuses of 1991, 2001 and 2011. A detailed assessment of each variable was conducted to exclude the variables that could have had a negative impact on clustering or caused uncertainty in the results. The process involved removing strongly correlated and skewed variables, variables with minimal spatial variation, and variables that reduced the homogeneity of the clusters by carrying out a within-cluster sum of squares (WCSS) analysis. The final set included a total of 37 final variables: 18 were in their original form, and 19 were composite variables generated by merging multiple variables. The three censuses' geographic units were unified into the 2011 OA using the GeoConvert tool to obtain * Noo00h123@hotmail.com † s.desabbata@leicester.ac.uk
EVALUATION OF XYLEM VASCULAR OCCLUSIONS IN OLIVE CULTIVARS INFECTED WITH XYLELLA FASTIDIOSA Montilon V.3, Boscia D.1, Savino V.2,3, Saldarelli P.1, Saponari M.1, De Stradis A.1 1CNR, Istituto per la Protezione Sostenibile delle Piante, Bari, Italy 2Centro di Ricerca, Sperimentazione e Formazione in Agricoltura “Basile Caramia”, Locorotondo (Bari), Italy 3Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti, Università degli Studi di Bari Aldo Moro, Bari, Italy
Final conference, Rome October 11, 2016 Reconstruction of geomagnetic paleosecular variation on the continental margin of northwestern Barents Sea Caricchi, C. (1), Sagnotti L.(1), Macrì, P.(1), Lucchi, R.G. (2) and the scientific party of the project and cruise CORIBAR. 1 Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143, Rome, Italy (chiara.caricchi@ingv.it) 2 OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale), Borgo Grotta Gigante 42/c, I-34010 Sgonico, Trieste, Italy Abstract In the last decades, geomagnetic paleosecular variation (PSV) for the past millennia have been reconstructed from paleomagnetic and archeomagnetic data, in order to understand the variability of the geomagnetic field. PSV data from the Artic region could be of critical importance for geomagnetic field models. In particular, sedimentary sequences with suitable lithological character and good paleomagnetic properties may provide valuable empirical inputs for the reconstruction of the geomagnetic field variability over geological times. In this work, we present the analysis of high‐resolution paleomagnetic and rock magnetic analyses carried out on 3 sedimentary cores collected in glaciomarine silty‐ clay sequences from the continental shelf and slope across Kveithola trough‐mouth fan, on the continental margin of northwestern Barents Sea (Fig. 1). This study has been conducted in the framework of the PNRA project CORIBAR-IT, whose general aim is to define the timing and the paleo- environmental changes linked to the last deglaciation, by investigating the glacigenic sediments in a palaeo-ice stream depositional system in the western Barents Sea. The cores have been divided in sections of about 1m of length and then cut in two half parts Figure 1 Location of the CORIBAR cores (this work) and SVAIS and EGLACOM cores [Sagnotti et al., 2011; 2016]. (a) Location map of the study area in the NW Barents Sea. (b) Detail of the square study area indicated in map and location of the CORIBAR-SVAIS-EGLACOM sediment cores.
SETTING UP OF EFFICIENT SAMPLING SCHEMES TO DETECT XYLELLA FASTIDIOSA IN APULIAN OLIVE GROVES Santoro Franco, Gualano Stefania, Favia Gabriele, Franco Valentini, D’Onghia Anna Maria International Centre for Advanced Mediterranean Agronomic Studies of Bari (CIHEAM of Bari) Via Ceglie 9, 70010, Valenzano (BA), Italy
Quantum Reservoir Computing for Chaotic Time Series Forecasting Osama Ahmed1, Felix Tennie1, and Luca Magri1,2 1Imperial College London, London, United Kingdom 2Alan Turing Institute, London, United Kingdom Abstract Recently, it has been demonstrated that quantum reservoir computing (QRC) is an effective tool for time-series prediction. In this work, QRC is applied for multivariate, non-linear and chaotic time series predictions using the IBM Quantum platform. We compare the results of QRC predictions with its classical counterpart, analysing reservoir dynamics and sizes. Specifi- cally, this comprises time-series prediction, reservoir memory capacity and long-term statistics of the chaotic systems. We show that in comparison to the classical reservoir, fewer hyper- parameters are needed by the quantum reservoir, highlighting the robustness of the method. Furthermore, we have compared ensembles of networks between the quantum and classical schemes, with optimal hyper-parameters chosen through grid search and Bayesian optimization. We find that entanglement in the quantum reservoir enriches reservoir dynamics and prediction capabilities. More specifically, one can reduce the size of the quantum reservoir by comparison to its classical counterpart while preserving the accuracy of the output. Finally, we analyse the challenges and opportunities of QRC for recurrent time series predictions on Noisy Intermediate Scale Quantum computing (NISQ)-era quantum processors. This work confirms and highlights the potential of QRC for chaotic time series predictions on near term quantum computers. 1 Introduction Various previous works have proposed utilizing and applying QRC and hybrid QRC architectures for time series predictions [1–3]. In hybrid QRC, input data is encoded in form of Bloch-sphere rotation angles in individual qubits along with reservoir state probabilities. The resulting quantum states undergo unitary operation at each time step [1]. In an another approach, a reservoir state is associated with the density operator of encoded quantum state and reservoir probabilities cor- respond to measurement outcomes of the final quantum state [3, 4]. While it has been speculated that quantum reservoir computers are a potential candidate providing quantum advantage in the near term NISQ-era, very few studies have been conducted on high-dimensional chaotic systems as well as their long term statistical predictabilities. The focus of this work is to study low-dimensional as well as high-dimensional chaotic systems with QRC. More specifically, we investigate the 3-dimensional Lorenz-63, and the 10-dimensional Lorenz-96 systems [5]. We assess the performance in multiple ways: first, by considering short-term time series prediction capabilities that are quantified using the predictability horizon [6], second, by comparison of long term statistics [7, 8], and third, by considering the short-term memory capacity of the reservoir [9]. In Section. 2, we present the comparison of quantum and classical reservoir architectures. Then, we compare the results of chaotic predictions for both networks. In Section. 3, 1
Hot coronae around spiral galaxies: Probing the first principles of galaxy formation Ákos Bogdán1 W. Forman1, M. Vogelsberger2, H. Bourdin3, P. Mazzotta1,3, R. Kraft1, C. Jones1,E. Churazov4 1Harvard-Smithsonian Center for Astrophysics 2Massachusetts Institute of Technology 3University of Rome 4Max Planck Institute for Astrophysics
Mindsponge https://mindsponge.info/posts/297 Last updated: 04/19/2024 Intergenerational Diﬀerences in the Environmental Concerns: Insights from Chinese Plastic Waste Business Owners Dan Li College of Educational Science, Yan’an University, Yan’an, Shaanxi, China April 19, 2024 Most surveyed populations share concerns about safeguarding the environment [1]. While studies have explored general and speciﬁc environmental behaviors [2], little attention has been given to how diﬀerent generations relate to environmental concerns. In a recent study published in Humanities and Social Sciences Communications (Nature Portfolio), Wang and Wu [3] focus on exploring intergenerational disparities of plastic waste business owners in environmental concerns, speciﬁcally ecological worldview and concerns of local environmental issues. The research involved 102 plastic waste business owners spanning two generations in Wuzhen Town, China, who took part in a paired-sample survey. By integrating insights from Mindsponge Theory and utilizing the advantages of Bayesian analysis [4,5], the study also delved into the roles of post-materialistic values, environmental knowledge, exposure to environmental risks through new media, and community ties in mediating the links between intergenerational diﬀerence and environmental concern.
Proceedings of the LXIV SIGA Annual Congress Online, 14/16 September, 2021 ISBN: 978-88-944843-2-8 Poster Communication Abstract – 5.10 RESPONSE VARIATION TO SALT AND DROUGHT STRESS AMONG DURUM WHEAT GENOTYPES AT SEEDLING STAGE URBANAVICIUTÈ I., BONFIGLIOLI L., PAGNOTTA M. A. Department of Agricultural and Forest Sciences, Tuscia University, Via S. C. de Lellis, snc, 01100 Viterbo Italy durum wheat, abiotic stress, climatic change, real time PCR, WRKY Drought and salinity are the main abiotic factors that threaten food security and cause the most damage to crop grain yield. In the frame of the project H2020-ECOBREED (No 771367) present aim was to investigate variations in morphological (plant high, root length), physiological (chlorophyll content), and biochemical (real time PCR of transcription factor WRKY) responses to drought and salt stresses, among six durum wheat genotypes, replicated three times, under glasshouse conditions. The WRKY transcription factor is widespread in plants and associated with plant growth, development, and abiotic stress tolerance. Drought and salinity treatments were assessed two weeks after sowing, when the seedlings reached two fully expanded leaves stage. Drought conditions were managed by discontinuing watering and evaluating field capacity (FC) in pots. Salt conditions were reached adding to the nutrient solution 250 mM of NaCl and watering the plants three times per week.
A new spin on age-rotation-activity A new spin on age-rotation-activity relations with Kepler and TESS relations with Kepler and TESS Travis Metcalfe Travis Metcalfe Space Science Institute / MPS Space Science Institute / MPS Collaborators: Jen van Saders, Ricky Egeland, Orlagh Creevey, et al. Collaborators: Jen van Saders, Ricky Egeland, Orlagh Creevey, et al.
Cosmic Rays transport in the Interstellar Medium : Role of the Self-Generated turbulence Loann Brahimi - CRISM 2018 (Grenoble) LUPM - Montpellier University 25 juin 2018 Implementation of a sub-grid Cosmic Rays (CRs) diﬀusion coeﬃcient and resonant Alfven waves drift velocity terms in the magnetohydrodynamics (MHD) RAMSES code
Open Schools Journal for Open Science Vol. 3, 2020 Active drug targeting Erian J. HLW Duerrauer V. HLW Rainer L. Dept Biosciences Geppert M. HLW Joubert I. A. Dept Biosciences Himly M. Dept. Biosciences https://doi.org/10.12681/osj.22588 Copyright © 2020 J. Erian, V. Duerrauer, L. Rainer, M. Geppert, I. A. Joubert, M. Himly To cite this article: Erian, J., Duerrauer, V., Rainer, L., Geppert, M., Joubert, I., & Himly, M. (2020). Active drug targeting. Open Schools Journal for Open Science, 3(2). doi:https://doi.org/10.12681/osj.22588 http://epublishing.ekt.gr | e-Publisher: EKT | Downloaded at 02/03/2021 01:38:42 |
249 A OMISSÃO NA DECLARAÇÃO DE INCONSTITUCIONALIDADE: ANÁLISE DO DISCURSO SOBRE O CABIMENTO DE EMBARGOS DE DECLARAÇÃO NAS DECLARAÇÕES DE INCONSTITUCIONALIDADE OMISSION IN THE DECLARATION OF UNCONSTITUTIONALITY: SPEECH ANALYSIS ABOUT THE SUITABILITY OF “AMENDMENT OF JUDGMENT” IN THE DECLARATIONS OF UNCONSTITUTIONALITY EVANDRO PEREIRA GUIMARÃES FERREIRA GOMES Mestre em Direito Público e Evolução Social pela Universidade Estácio de Sá – UNESA/RJ. Diretor Jurídico do Instituto para o Avanço Cientifico dos Países do Sul (The Institute for the Scientific Advancement of the South). Advogado. RESUMO O objeto do presente trabalho versa sobre a análise do discurso das decisões dos ministros do Supremo Tribunal Federal em embargos de declaração opostos contra a declaração de inconstitucionalidade que deixou de apreciar a modulação temporal dos efeitos por falta de requerimento das partes. O estudo parte da seguinte pergunta: cabe embargos de declaração, em sede de controle concreto, em face da não manifestação da Corte Constitucional brasileira sobre a modulação temporal dos efeitos nas declarações de inconstitucionalidade? Destaque-se que os embargos de declaração são o recurso oponível à decisão que apresenta omissão, contrariedade ou obscuridade, ao passo que a declaração de inconstitucionalidade de norma produz efeitos próprios, declarando nulos os atos produzidos com base na referida norma em razão do seu efeito ex tunc. Sendo assim, nossa hipótese consiste na possibilidade de provimento na oposição de embargos nas declarações de inconstitucionalidade quando não há pedido nos autos acerca da modulação temporal dos efeitos, por ser esta matéria de índole constitucional. Por fim, a presente pesquisa utiliza a matriz teórica de analise do discurso desenvolvida por Patrick Charaudeau. PALAVRAS CHAVE: Jurisdição Constitucional; Controle De Constitucionalidade; Embargos De Declaração, Análise Do Discurso; Supremo Tribunal Federal.
Page | 1 Analysis The Influencing Factors of Urban Traffic Flows by Using Emerging Urban Big Data Yue Li*1, Qunshan Zhao†1 and Mingshu Wang‡2 1 Urban Big Data Centre, School of Social and Political Sciences, University of Glasgow, Glasgow, UK 2 School of Geographical and Earth Sciences, University of Glasgow, Glasgow, UK January 18, 2023 Summary This research applies spatial Durbin model to analyse traffic flow distributions via various factors in the urban areas and traffic flow data. The results show that the overall built environment within a buffer area has more significant impact on urban traffic flow compared to the nearby location within a few meters. Areas with more young and white dwellers are associated with more traffic flows. With the influence of COVID-19, residents prefer to spend their daily life in their local neighborhood rather than having long distance travel. The initial findings from this research provide evidence of developing 20- minute city via active travel for achieving net-zero carbon target. KEYWORDS: Traffic flow, Urban big data, COVID-19, Spatial Durbin model 1. Introduction As a crucial component for the complex urban system, urban traffic analysis has drawn attentions from researchers and planners for decades (Batty 2008). The increasing development of Intelligent Transportation Systems with various urban sensing technologies (Buch et al. 2011), has produced a variety of traffic-related data to monitor urban traffic conditions in high spatio-temporal resolution. These data provide a near real-time understanding of the traffic flows in our cities compared to traditional travel survey methods, which offer the next level of understanding of the urban transportation system. Many studies measuring the factors that affect urban traffic flows. Nian et al. (2020) applied the spatial lag model to explore the relationship between Point of Interest (POI) and taxi travels. Xu et al. (2019) proposed a framework to identify urban mobility patterns based on POI data. Specifically, areas with entertainment and consumption functions are more likely to generate more traffic flow. In addition to POI, land cover of urban areas also influences the mobility trends. Previous research used a sequential modelling process to analyse the impact of land use on urban mobility patterns (Bandeira et al. 2011). Recently, a study inferred urban land use from taxi trajectory data and bus smart card data (Liu et al. 2021). Besides, street imagery is a new and emerging urban big data source with high spatial resolution. Studies have reported using this data to audit road infrastructure and other built environment features. Goel et al. (2018) used Google Street View(GSV) from 34 cities in Great Britain, to predict travel pattern at the city level. Previous researchers mostly only explored the multiple aspects of urban environment in traditional mobility pattern analysis, with limited aspects considered quantitative relationship between new forms of sensing data and traffic flow in cities. Those existing study overlooks the integrated influence of * y.li.17@research.gla.ac.uk † Qunshan.Zhao@glasgow.ac.uk ‡ Mingshu.Wang@glasgow.ac.uk
— 697 706 Celebration & Contemplation, 10th International Conference on Design & Emotion 27 — 30 September 2016, Amsterdam Abstract In partnership with the Baltimore City Health Department, The Center for Design Practice at the Maryland Institute College of Art developed strategies that engaged the HIV-positive African American MSM population in Baltimore City in order to collaboratively design ways to seek and maintain care, stay on their medication, and maintain safe practices to decrease the rate of transmission of HIV, syphilis and other STDs. In Baltimore City, MSM are at significant risk of acquiring HIV and syphilis. According the Infectious Disease and Environmental Health Administration, there has recently been a resurgence in the proportion of newly reported HIV cases occurring in MSM in Baltimore, with a near doubling of this proportion from 15% to 30% in the last 5 years. In the BESURE study conducted in Baltimore City in 2004-2005, 40% of MSM who participated in the study were HIV- positive and 62% of HIV-positive individuals were unaware of their status. Keywords Health, Sex positive, Social design, Education Have Balls, Get Tested: HIV prevention in African American MSM in Baltimore - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Ryan David Clifford1,2 ryanc1@iastate.edu 1Iowa State University, United States of America 2Maryland Institute College of Art, United States of America
Influence of the temperature on the acquisition efficiency of Xylella fastidiosa by Philaenus spumarius Cavalieri V.1,2, Dongiovanni C.2, Altamura G.1, Fumarola G.2, Palmisano V.2, Carrieri M.2, Bodino N.3, Bosco D.3, Saponari M. 1 1Institute for Sustainable Plant Protection, National research Concil, Italy, 2Centro di Ricerca, Sperimentazione e Formazione in Agricoltura “Basile Caramia”; 3Dipartimento di Scienze Agrarie, Forestali e Alimentari, Università degli Studi di Torino
FicTag Visualizer: A Tool for Fanfiction Tag Analysis and Three Use Cases in Fan Interpretation Abstract This poster presents FicTag Visualizer, an online interface for analyzing the frequency of tags attached to fanfiction on the Archive of Our Own, the largest English-language fanfiction database. We present three use cases to illustrate how the tool can aid research on fanfiction metadata. Keywords webtool, metadata, fanfiction, visualization, literary reception, 1. Introduction The Archive of Our Own (AO3) hosts over 11 million works of fanfiction written and enjoyed by over 5 million people. The site is a rich resource for information about fan communities [1], human-computer interaction [2], and digital social reading [3]. AO3’s tagging system is an especially interesting object of study, with tag analysis offering insight into folksonomies [4], cultural evolution [5], and content-level features of fanfiction [6]. FicTag Visualizer makes fanfiction tags in our FicTag Dataset available to researchers through a Streamlit interface [7]. Our poster presentation offers conference attendees access to the visualizer. Compared to existing tools to analyze AO3 data, like the AO3 Scraper [8] or Fandom Stats [9], FicTag Visualizer is easier to use, enables visualization and organization of the data, and gives access to more data: our FicTag Dataset covers works uploaded on AO3 from 2008 until 2023. As scraping continues, we aim to cover around 5000 fandoms, 500.000 tags and around 14 million works by the time of the conference. We present three use cases with FicTag Visualizer. Each concerns an aspect of ‘fanon’, or: ‘any element that is widely accepted among fans, but has little or no basis in canon’ [10]. Fans refer to the source material fanfiction is based on as ‘canon’. Any popular addition to canon is called ‘fanon’. By zooming in on various fanfiction tags, patterns emerge in fanon story elements. The case studies show that: • FicTag Visualizer is easier to use than existing approaches to tag analysis with corpus analysis tools, • FicTag Visualizer can help researchers analyze the interplay between fan discussions and fanfiction content, • starting points for fanfiction trends – which we call legacy fics – can be identified using FicTag Visualizer. CHR 2023: Computational Humanities Research Conference, December 6 – 8, 2023, Paris, France © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings http://ceur-ws.org ISSN 1613-0073 CEUR Workshop Proceedings (CEUR-WS.org) 1