fairdataihub/poster-sentry-training-data huggingface dataset:
The 7th International Symposium on Gas Transfer at Water Surfaces Seattle, WA USA May 18-21, 2015 Flow field and momentum balance in the Heidelberg Aeolotron, a large annular wind/wave facility M. Bopp1 and B. Jähne1,2 1 Institute of Environmental Physics (IUP), University of Heidelberg, Germany, maximilian.bopp@iup.uni-heidelberg.de 2 Heidelberg Collaboratory of Image Processing (HCI), University of Heidelberg, Germany, bernd.jaehne@iwr.uni-heidelberg.de The Heidelberg Aeolotron is an annular wind/wave facility with 10m diameter. One of the main advantages in contrast to a linear facility is the nearly infinite fetch. The conditions on the water surface, and so the gas transfer are more similar to conditions at the open ocean. The wind field in the Aeolotron was investigated with a pitot tube mounted on a translation stage. The radial wind speed was measured for a complete cross section at ten positions. To measure near the water surface surfactants were added to dampen the wave field. As expected the wind generators, two axial fans embedded in the ceiling, and the annual geometry of the facility produce a flow pattern shaped like a half helix between the fans. This results in variations of the wind speed near the surface, which are about 30% at the measured wind condition. Figure 1: The friction velocity determined by the momentum balance method for clean water (crosses) and two concentrations of the surfactant Triton X-100 (circles and stars) in dependence of the reference wind speed. The surfactants have a reducing effect, especially for lower wind speeds abstract, doi: 10.5281/zenodo.17669 abstract, doi: 10.5281/zenodo.17669
• a Calibration System of the JUNO Experiment Yue Meng, on behalf of the JUNO collaboration Shanghai Jiao Tong University mengyue@sjtu.edu.cn 每秒几万亿 A comprehensive multiple-source, multiple-position calibration program is developed for a JUNO central detector(CD) to achieve a better than 1% linear energy scale and a superior effective energy resolution of 3% between 1 MeV and 8 MeV in order to determine neutrino mass hierarchy, measure solar neutrino, detect supernova neutrino, etc. • The bias in the reconstructed energy is less than 0.6% over the entire range of the inverse beta decay energy, which is significantly better than the 1% requirement. • The effective energy resolution is less 3.0% between 1 MeV and 8 MeV. Control Room spool spool spool spool spool spool spool spool Automatic Calibration Unit Calibration house Central cable Side cable Bridge Remotely Operated under-LS Vehicles ROV guide rail Guide Tube Calibration System Source Cable Loop System source storage AURORA Calibration house • Source storage, motors to control CLS system, ROV rail, etc Automatic Calibration Unit (ACU) Remotely Operated Vehicle (ROV) Cable Loop System (CLS) • 1D central axis scan with gamma sources, neutron sources and laser automatically ACU prototype CLS layout CLS motor prototype • 2D plane source scan with cable loops assembled on both semisphere sides • 3D source scan with a self-driven vehicle unit ROV ROV water test Ultrasonic sensor system (USS) and CCD AURORA (A Unit for Researching Online the LSc tRAnsparency) • Monitor and determine LS attenuation length, scattering length and absorption length with laser system Guide Tube Calibration System (GTCS) • Calibrate boundary area and provide boundary condition for the CD 1:1 GTCS prototype • positioning ROV and CLS USS prototype CCD prototype Calibration sources Energy resolution • a term is the statistical term, about 2.7% • b is a constant term independent of the energy, and in the case of JUNO, dominated by position non-uniformity • c term represents the contribution of a background noise term, c is estimated to be 1.0% Positron energy resolution vs. Evis after the ideal non-uniformity correction a=2.57%, b=0.73%, c=1.25% Effective energy resolution Energy resolution • a Physics nonlinearity • Multiple gamma sources and cosmogenic background are used to corrected physics nonlinearity Instrumental nonlinearity • Combine dual calorimetry including LPMTs and reference SPMT whose response is linear in charge by design and tuneable laser source to calibrate channel nonlinearity Systematic uncertainties • Shadowing effect: < 0.15% • Energy loss effect: < 0.1% • High energy gamma uncertainty: 0.4% • Instrumental nonlinearity: <0.3% • Position dependent effect: 0.3% • Statistics: 0.01% Combined systematic uncertainty: 0.6% Caused by scintillating and Cerenkov photons in LS Liquid scintillator (LS) Refer to https://doi.org/10.1007/s41605-017-0022-2
Non-Cognitive Predictors of Student Success: A Predictive Validity Comparison Between Domestic and International Students In response to future climate change, reptiles modified their spatial axis, seeking new habitats and changing their species distribution range. Non-Cognitive Predictors of Student Success: Predictive Validity Comparison Between Domestic and International Studentsz INTRO • Species Distribution Modeling is an important tool to mitigate species distribution gaps and assess the impacts of climate change on the distribution of biodiversity; • Our goal is to calculate the potential distribution of ten Squamata reptiles associated with sandy soils endemic from the South American Dry Diagonal METHODS 1. We created a database containing 3,011 occurrences; 2. 20 environmental variables for current (1970-2000) and future (years 2040 and 2060) periods; 3. SSP2-4.5 (optimistic) and SSP5-8.5 (pessimistic) scenarios; 4. Models: biomod2 package – R; 5. General maps of suitability: QGIS The impact of climate change in the psammophilous Squamata of the South American Dry Diagonal 1Silva Oliveira, Júlia*; 2Santana, Diego José; 3Lima Pantoja, Davi; 4,5 Guedes, Thaís 1Universidade Estadual do Maranhãoo, Brazil 2Universidade Federal do Mato Grosso do Sul, Brazil 3Universidade Federal do Piauí, Brazil 4Universidade Estadual de Campinas, Brazil 5University of Gothenburg, Sweden Potential distribution in Current scenarioo Potential distribution in SSP8.5 - 2040 scenarioo RESULTS • Seven variables most important in the models: BIO2, BIO13, BIO15, BIO18, BIO19, BIO3 and BIO8; • TSS values: 0.888 - 0.992; • AUC values: 0.983 - 0.997; • There are extinction risk in all future scenarios juliasoliveiraa@gmail.com www.tbguedes.com guedes_lab DISCUSSION • Our results highlight the vulnerability of psammophilous squamates to climate change and provide crucial information of the need of dynamic public policies for conservation of these species
Ultracool Dwarfs in the Gaia Catalogue of Nearby Stars[1] Luminosity function of the GCNS with Poisson uncertainties & expectation value. Stellar/ substellar boundary at L3 in broad agreement with recent literature (e.g [2]) Simulated completeness of Gaia EDR3 from M7-L8 using absolute magnitude distributions of known objects[3] L3 𝑀𝐺> 3 𝐺−𝐽+ 25 2879 new UCD candidates, using criteria from [4] & WD probability < 20% [1] Gaia Collaboration., et al., 2020, arXiv, arXiv:2012.02061 [2] Bardalez Gagliuffi, D. C., et al. 2019, ApJ, 883, 205 [3] Smart, R. L., et al. 2019, MNRAS, 485, 4423 [4] Reylé, C. 2018, A&A, 619, L8 GCNS Paper Here GCNS Website Here GCNS Data Here W. J. Cooper., R. L. Smart., C. Reylé., L. M. Barro., J. Rybizki., H. R. A. Jones., GCNS Project Team
CONVEGNO 2019 I SISTEMI PER L'ISOLAMENTO DALL'INTERNO NELL'ARCHITETTURA STORICA MONUMENTALE: CRITICITÀ, SOLUZIONI E L'ONSITE LAB TOUR DEL PROGETTO HeLLo Comitato scientifico e organizzazione Con il supporto di L’evento è proposto da This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 796712 16 Dicembre 2019 ore 14.00-18.00 Palazzo Tassoni Estense, Aula I5 via della Ghiara 36, Ferrara COMITATO SCIENTIFICO E ORGANIZZAZIONE: Prof. Pietromaria Davoli, arch. Luisa Dias Pereira, arch. Giuseppe Camillo Santangelo, Centro Ricerche Architettura>Energia, Dipartimento di Architettura, Università degli studi di Ferrara; Arch. Marta Calzolari, Dipartimento di Ingegneria e Architettura, Università degli studi di Parma ISCRIZIONE E CREDITI FORMATIVI PROFESSIONALI: Agli iscritti all’Ordine degli Architetti, Pianificatori, Paesaggisti e Conservatori saranno riconosciuti n. 4 crediti formativi, previa registrazione obbligatoria sul sito: https://imateria.awn.it PROGRAMMA Ore 13.30 REGISTRAZIONE Ore 14.00 INTRODUZIONE Prof. Pietromaria Davoli, direttore del Centro Ricerche Architettura>Energia, Dipartimento di Architettura, Università degli studi di Ferrara Ore 14.20 IL RETROFIT DEGLI EDIFICI TUTELATI TRA ISTANZE CONSERVATIVE E PRESTAZIONALI Arch. Keoma Ambrogio, funzionario responsabile di Ferrara città e parte dei comuni della provincia Ore 14.40 LE SIMULAZIONI TERMICHE DEGLI EDIFICI STORICI Arch. PhD Marta Calzolari, ricercatore, Dipartimento di Ingegneria e Architettura, Università degli studi di Parma Ore 15.00 LE SIMULAZIONI IGROMETRICHE DEGLI EDIFICI STORICI Arch. Dario Bottino-Leone, dottorando, Eurac Research, Bolzano Ore 15.20 IL PROGETTO HELLO - HERITAGE ENERGY LIVING LAB ONSITE Arch. PhD Luisa Dias Pereira, MSCA IF-EF fellow, Centro Ricerche Architettura>Energia, Dipartimento di Architettura, Università degli studi Ferrara Ore 15.40 COFFEE BREAK Ore 16.10 PROGETTI E APPLICAZIONI DELL'ISOLAMENTO INTERNO IN SUGHERO BIONDO NATURALE – SOLUZIONI A CAPPOTTO E A SECCO Geom. Emilio Capra, tecnico specializzato in isolamento termico ed acustico, Coverd S.r.l. Ore 16.30 L’ISOLAMENTO DALL’INTERNO IN LANA DI ROCCIA: PROGETTI E APPLICAZIONI Ing. Margherita Mor , Technical Specialist, ROCKWOOL® Italia S.p.A Ore 16.50 ISOLAMENTO INTERNO E SOLUZIONI ANTIMUFFA-ANTISALE IN SILICATO DI CALCIO IDRATO Ing. David Matricardi, Field Engineer, Xella Italia S.R.L. (Ytong) Ore 17.10 L'ESPERIENZA DEGLI OPEN LABS PER IL COINVOLGIMENTO DI NUOVI STAKEHOLDERS Arch. PhD Giuseppe Camillo Santangelo, responsabile del “Cantiere in aula”, Dipartimento di Architettura, Università degli studi di Ferrara Ore 17.30 ONSITELAB TOUR: VISITA AL LABORATORIO SPERIMENTALE DEL PROGETTO HELLO Arch. PhD Marta Calzolari, Arch. PhD Luisa Dias Pereira Ore 18.00 APERITIVO
• TRAPPIST-1 shows Na I absorption that is not prominate in low-gravity dwarfs @EGonzales788 1. 2. 3. This research was supported by NSF under Grant No. NSF-1747996. Is TRAPPIST-1 a Unique M-dwarf Host Star? • K I and Na I alkali line depths are slightly deeper than the ﬁeld dwarfs 4. Eileen Gonzales 1, 2, 3, Jacqueline Faherty 3, Jonathan Gagné 4, Johanna Teske 4,5, Andy McWilliam 5, Kelle Cruz 2,3 5. • SEDs are constructed from spectra and photometric points using the technique of Filippazzo+ 2015 and a parallax from Gaia DR2. • Using the SEDs we integrate and solve for Lbol and Teff assuming a radius as described in Filippazzo+ 2015 that relies on age estimates and evolutionary models. CONSTRUCTING SPECTRAL ENERGY DISTRIBUTIONS Optical- Cruz+ 2007, NIR- Gonzales+ in prep. TRAPPIST-1 is not as old as the subdwarfs. It most resembles a ﬁeld object with signatures of youth. • Shape of the H band is most similar to ﬁeld dwarfs, but slightly more triangular TRAPPIST-1 is an M7.5 dwarf that hosts seven rocky earth-size planets, three of which are in its habitable zone. Given the abundance of M dwarfs throughout the Galaxy as well as the ease by which rocky planets might be uncovered around low mass stars with future studies like TESS, an inquiry into the uniqueness of the nature of the TRAPPIST-1 system is particularly relevant today. TRAPPIST-1 is classified as a field dwarf with kinematics that suggest it is an “old disk” star. However, the near infrared spectrum of TRAPPIST-1 exhibits a subtle peculiarity that causes it to be classified as an intermediate gravity (INT-G) object using spectral indices. To understand this subtle peculiarity as well as place TRAPPIST-1 in context with other nearby M dwarfs, we have created a distance-calibrated spectral energy distribution (SED). Combining the most recent parallax measurement with optical and infrared spectra and all available photometry, we re-evaluate its bolometric luminosity and effective temperature. We compare the resultant SED to a sample of old, young, and field age objects of similar properties. Using a FIRE echelle spectrum, we also investigate the near-infrared Y, J,H, and K bands to compare observables linked to gravity, atmosphere, metallicity and age effects. Field Subdwarfs BROWN DWARFS OF SAME Teff: NIR Band-by-Band Comparison • TRAPPIST-1 matches the overall shape of ﬁeld dwarfs. • A temperature dependent spread is seen from 1.28–1.8 μm • TRAPPIST-1 and the low-gravity dwarfs overlap in the optical. • Low-gravity dwarfs are brighter than TRAPPIST-1 in the NIR and beyond. • GJ 660.1 B and TRAPPIST-1 overlap in the optical. • Both subdwarfs differ from TRAPPIST-1 in the NIR. (Y band) (H band) (J band) (K band) • Slope from 0.95—0.99 μm is similar to ﬁeld sources and J0953-1014 • Slight indication of VO absorption Subdwarfs J Band Comparison 5 • Depth of Na I doublet looks similar for all sources. • Some subdwarfs have unequal depths for the indiviual lines of the Na I doublet • K I doublets of TRAPPIST-1 are of similar depth, unlike the subdwarfs which exhbit differing depths of the K I doublets. Low gravity COMPARING OVERALL SEDs of BROWN DWARFS OF SAME Teff
A NOVEL APPROACH FOR DATA PROCESSING AND MANAGEMENT IN EDGE COMPUTING Armend Duzha, Dimosthenis Kyriazis Department of Digital Systems, University of Piraeus, Greece Edge nodes are close to the users, and as a result can potentially receive large amounts of privacy-sensitive data. 1. Suthar, F., et al., “A Survey on Cloud Security Issues”. Inter. Journal of Computer Science and Engineering, 7(3): 120-123, 2019. 2. Swabey, P., “Why edge computing is a double-edged sword for privacy”. Techmonitor, 2022. 3. Guynes, S., et al. “Edge Computing Societal Privacy and Security Issues”. SIGCAS Comput. Soc. 48 (3-4): 11–12, 2020. 4. W. Shi and S. Dustdar, "The promise of edge computing“. Computer, 49 (5): 78-81, 2016. AIAI 2022 18th International Conference on Artificial Intelligence Applications and Innovations 19 June 2022 – Crete, Greece Further information: aduzha@unipi.gr This work has received funding from the European Union’s Horizon 2020 Innovative Training Networks programme under Grant Agreement No. 956562 Figure 2: High-Level Conceptual Architecture Challenges Introduction Approach References Develop an effective data governance solution in order to exploit the huge data volumes and allow interoperability, sharing, and re-use of high-quality and high-value data, and contributing towards the expansion of common EU Data Spaces. Build secure and trustworthy data processing pipelines, exploiting in-situ processing techniques of raw data locally at the edge to extract useful information and avoid excessive data transfer and redundant storage. Only more important (aggregated) data are transferred to a central location. Produce actionable insights from distributed data by exploiting Federated Learning algorithms, aiming at building local models that describe the surrounding data more accurately, while incrementally pushing model updates to a centralized location that maintains the complete model, but not the complete data. Provide approaches for resource optimization addressing both the cloud/edge space and the supported data operations, allocation of resources, and deployment patterns, driving towards the “green cloud computing” paradigm. Figure 1: Smart Mobility Use Case Edge nodes have limited resources, so they cannot support complex security mechanisms. Due to the high mobility of the devices and users, the edge computing environment is always changing. With the development of Internet of Things, more and more powerful devices are mediating our daily lives. This also result in massive data generated by billions of sensors and devices. Meanwhile the increasing demand for advanced services and applications, such as virtual reality, augmented reality and smart cities [see Figure 1], has created huge challenges on cloud computing. Edge computing has been proposed as a new computing paradigm where resources like computation and storage are placed closer to the data source. It enables a new class of latency and bandwidth sensitive applications as data can be processed at the nearest edge. Without sending data to the cloud, edge computing therefore enhances security and privacy.
Game-changing brain-inspired computing for market innovation and disruption The Consortium Health Climate AI weather & climate modelling Accident prevention Energy Financial Real-time fraud detection The HYBRAIN project has received funding from the European Union's Innovation Council Pathfinder programme under Grant Agreement no.101046878. Sustainabile AI solutions Hybrid technology for ultra-low latency, energy-efficient Artificial Intelligence applications Join the community @HYBRAIN_EU hybrain.eu info@hybrain.eu HYBRAIN Project PROJECT COORDINATOR
Reconstruction of bacterial genomes from a Northern Patagonian fjords (42 ° S) with potential biotechnological applicability Valentín Berrios Farias1, Eduardo Castro-Nallar1 (1) University of Talca, Departament of microbiology, Faculty of Biological Sciences. Created with BioRender Poster Builder BACKGROUND Microorganisms have the capability of producing non ribosomal peptides (NRPs) associated with their secondary metabolism. Previous works have demosntrated the biotechnological applicability of these peptides . Bioinformatic steategies have been developed to detect these peptides along with other metabolites of industrial interest from sequencing data by detecting biosynthetic gene clusters (BGCs) . Soil and marine metagenomes have been broadly studied regarding the biosynthetic potential of the microbial communities to synthetise these peptides . Nevertheless estuarine microbial communities have been poorly studied in respect their natural products. The Comau Fjord 93 water samples were colelcted from Comau fjord from 2016 to 2019. The prokaryotic DNA was captured and sequenced with illumina technologies. Prokaryotic eDNA was sequenced, genomes were reconstructed and metabolic predictions were made We predicted secondary metabolites from 677 reconstruncted environmental bacterial genomes from sequencing data Biosynthetic gene clusters producing non ribosomal peptides were detected in almost all phyla including Verrucomicrobiota, Bacteroidetes, Actinobacteria , Proteobacteria and Planctomycetes, Desulfofacteria and Myxococcota. Besides NRPS biosynthetic gene clusters, other secondary metabolites were inferred using antiSMASH software: How can non ribosomal peptides be predicted from sequencing data? Non ribosomal peptides are synthezised by enzymatic complexes called non ribosomal peptide synthases (NRPS). The domains that constitute these enzymes can be localized in BGCs along the bacterial genomes , thus, robust probabilistic models have been developed to identify these BGCs. Future directions It has been hard to synthesize and isolate the natural products synthesized by BGCs . Most of these genetic clusters remains cryptic on their hosts,. This is how heterologous expression strategies of these clusters have emerged as an ingenious way of producing the cryptic secondary metabolites stored by their original hosts. CONCLUSION The bacterial communities of the Comau fjord constitute a relevant reservoir of biosynthetic gene clusters that produces several types of natural products. In particular, two bacterial genomes stands outs in terms of major number of predicted BGCs. The major number of NRPs were predicted from a Gammaproteobacteria genome and the major number of predicted BGCs of any class were predicted from a Planctomycetes genome. Infered chemycal novelty of predicted BGCs on the Planctomycetes genome establishes this bacteria as a promising candidate from which novel terapeutic compunds such as antivirals can be discovered.
Nathalie Huck und Carmen Schwietzer info@landesarchiv.berlin.de www.landesarchiv-berlin.de Landesarchiv Berlin Open Research Data im Landesarchiv Berlin Namensverzeichnisse der Berliner Standesämter Mit Einführung der sogenannten ‚Standesämter‘ 1874 bekam Berlin über zwanzig derartige Einrichtungen, und mit der Bildung „Groß-Berlins“ kamen 1920 noch Dutzende dazu. Zu diesen Beständen gibt es keine übergreifende Namenskartei. Stattdessen wurden in jedem Amt ein- zeln Namensverzeichnisse erstellt, für jeden Typ (Geburt, Heirat, Tod) und jedes Jahr getrennt. Namensverzeichnisse sind nach dem ersten Buchstaben des Nachnamens geordnet. Das Landes- archiv Berlin bietet mit der Onlinestellung der digitalisierten Namensverzeichnisse der Stan- desämter die Grundlage für den Rechercheeinstieg in die Familienforschung. Datentyp Primärdaten Infrastrukturen Online-Datenbank mit Digi- talisaten Nutzende niedrigschwelliger Zugang „citizen science“ Lehrende und Lernende; Historikerinnen und Historiker, Kultur- wissenschaftlerinnen und Kulturwissenschaftler, Soziologinnen und Soziologen, Journalistinnen und Journalisten, Erbener- mittelnde, Provenienzforschende Nutzungszwecke Heimat- kundliche Forschung, Stolpersteinrecherche, statistische Aus- wertungen, Genealogische Forschungen, Beleg für rechtliche Ansprüche Daten ca. 44.650 Besucherinnen und Besucher und ca. 339.000 Seitenaufrufe jährlich Lizenz: Creative Commons Lizenz CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) HistoMap Berlin Die Online-Anwendung HistoMap Berlin wurde in Kooperation mit der Beuth Hochschule für Tech- nik Berlin, Büro für Geomedien, entwickelt. Auf Basis von georeferenzierter Karten von 1910 bis 2012 wird eine grundstücksgenaue Recherche ermöglicht. Die einzelnen Kartenblätter können übereinandergelegt werden und schaﬀ en damit eine Vergleichsmöglichkeit der Grundstücke über die Jahrzehnte hinweg. Datentyp Primärdaten Infrastrukturen Geoinformationssystem Nutzende niedrigschwelliger Zugang „citizen science“ historisch und geografisch Interes- sierte; Lehrende und Lernende; Historikerinnen und Historiker, Verwaltungswissen- schaftlerinnen und Verwaltungswissenschaftler, Kulturwissenschaftlerinnen und Kulturwissenschaftler , Soziologinnen und Soziologen, Journalistinnen und Journa- listen, Stadtplanende, Architekten und Architektinnen Nutzungszwecke Heimat- kundliche Forschung, Straßenumbenennungen, Grundstücksverschiebungen, Stadtpla- nung und –bau Lizenz: Creative Commons Lizenz CC BY 4.0 (https://creativecommons. org/licenses/by/4.0/) Lizenz: Creative Commons Lizenz CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) Bilder: Landesarchiv Berlin
FOLLOW US @ImAFUSA_EU @ImAFUSA The framework and its tools will collect insights influencing societal acceptance of UAM and produce indicators for: Data on citizen noise perceptions, perceptions of visual pollution, safety perceptions and overall UAM acceptance will be collected during 3 immersive citizen experiences of UAM applications in the city of Athens, Greece. In each area, innovative performance indicators will be described while mathematical formulas and algorithms will be developed to quantify them. Impact & Capacity Assessment Framework for U-space Societal Acceptance This project is co-funded by the European Union under Grant Agreement No. 101114776 and supported by the SESAR 3 Joint Undertaking and its founding members. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or SESAR 3 JU. Neither the European Union nor the granting authority can be held responsible for them. ENVIRONMENTAL IMPACT SAFETY IMPACT SOCIOECONOMIC IMPACT Different dimensions for measuring Environmental Impact will be defined like emissions, noise, air quality, visual pollution, etc. New indicators for the wide deployment of U-space services will be developed assesing the Socioeconomic Impact on everyday life. Existing air and ground safety indicators are summarised and combined with user feedback to define UAM Safety Indicators.