fairdataihub/poster-sentry-training-data huggingface dataset:
GENGA, a GPU N-body integrator for planet formation and planetary system evolution Simon L. Grimm Center for Space and Habitability, University of Bern The Solar System contains more than 1 Million known asteroids. Some on near Earth orbits. Timing on NVIDIA and AMD GPUs Dynamics of small bodies in the Solar System. Including Yarkovsky effect, Poynting Robertson drag and mean motion resonances. 10 million years after an asteroid collision, fragments collide with the Earth. Planets are formed by collisions of planetesimals. Gas drag leads to an inward drift of the bodies. Mean motion resonances of Jupiter and Saturn increase the eccentricities. The N-body problem includes N2 force calculations per time step. A symplectic integrator is used to conserve energy over many billions of time steps.
Language as a Reflection of Mental Time Travel Leon Derczynski, Department of Computer Science, University of Sheffield Basic tenses need mental time travel Languages communicates temporality in verbs in two ways: tense and aspect. There are formal models for these, e.g. Reichenbach. This breaks verbs into three times: E – event time – when it happened R – reference time – the viewpoint S – speech time – when it was uttered Ref. time invokes an abstract viewing point Determining R tells you where observer is Temporal expressions relate distance Expressions of time may give a granularity “It will happen in two weeks” “And two minutes later, it landed” However, while we might use “one year”, we will rarely say “three hundred and sixty five days” Granularity gives not only precision - it also the distance from “now” Larger units → longer conceptual distance The grounding time is reference time, R, which tends to centre narratives. “ON an exceptionally hot evening early in July a young man came out of the garret in which he lodged in S. Place ...” Tense with specific distance Each system of describing time evokes temporal contexts Their semantic vary depending on listener, word choice, and world model I will be there soon I will be there soon I will be there soon Some language systems attach specific distances to tenses Bamileke-Dschang: 1. She [has just] bargained 2. She bargained [earlier today] 3. She bargained [yesterday] 4. She bargained [before yesterday; some days ago] 5. She bargained [a long time ago, e.g. a year or more] “I had eaten” “I will have eaten” “I ate” E S,R E E S E R S R Target near to current time: small, precise unit Target far from current time: large unit, unfocused Funded by the EC’s FP7 under grant 611223
COUNTRY Finland KEY WORDS Remote sensing, drones, decision support systems, precision agriculture DISCLAIMER This Practice Abstract reflects only the author’s view and the Branches project is not responsible for any use that may be made of the information it contains. 46 Drones detect local variations and provide tools for agriculture Drone technologies provide tools for improving processes in agriculture and horticulture. Drones are utilized to gain knowledge for precision farming actions, document interesting phenomenon and to get general information from the fields. Drones can contribute the farming firstly by providing relative information about variation within the studied area like the yield amount, secondly by providing absolute information about the studied phenomenon like infestation status and thirdly by accomplishing small works like reseeding. The first two examples are based on imaging and the third applies specific tools developed for the drone. The drone imaging is based on passive remote sensing. The imaging data is processed to georeferenced orthomosaic of the studied area and then classified to relative classes that can be converted to absolute values by additional information. Results are like a yield map, a specific nutrient status map, soil moisture map, vegetation density or crop loss map, a weed area map or a relative infestation map. Spatial analysis methodologies or machine learning technologies are used for the classification. Additional methodologies are needed to put the classification information into actions. By the decision support systems by the detected nitrogen level variation is adjusted to the additional nitrogen fertilizer application plan. The drones that accomplish works are fully integrated systems with maximum payload being tens of kilograms. Drones do not harm the cultivated vegetation, so they can work on demand. The drones are doing pollination, fertilizer application, spraying, seeding, biological plant protection. The aviation rules regulate these operations. Drones will not replace heavy machinery and new approaches are under development. The potential of reducing chemical usage and reducing nutrient leach with working drones is huge since their capability of working repeatedly on demand without disrupting the primary vegetation. DOWNLOAD www.branchesproject.eu AUTHORS Jere Kaivosoja Oiva Niemeläinen
Classification of Open Access Tupels 2,4,2,1,1 Green We want your Data! → Der Aufruf wirkt! Mittlerweile sind die Daten von 24 Institutionen im Datahub erfasst und abgebildet, das heißt 17 öffentliche Universitäten und ISTA + private Universitäten, Fachhochschulen und Forschungsinstitute. Die abgebildeten Daten im Hub veranschaulichen einen sehr großen Teil der österreichischen, akademischen Publikationslandschaft. Open-Access-Anteile pro Jahr Publi- kation FIS / CRIS Teilprojekt 2 Austrian Datahub for Open Access Negotiations and Monitoring AT2OA2-Abschlussveranstaltung Universität Wien, 09.10.2024
Funded by the European Union Milestones to be delivered during the 2nd year of RD-Connect include the development of a centralised, searchable catalogue of registries, biobanks, and locus-specific database for rare diseases (M2.1) and the publication of guidelines for standardized access and operational workflow (M3.1). The catalogue is being developed in collaboration by WP2 and WP3. Sources : ORPHANET, EPIRARE, Treat-NMD, BBMRI, EuroBioBank, Telethon Network of Genetic Biobanks, among others. Searchable by: disease name, Orpha number, ICD-10, OMIM code, type of database, country. As compared to existing inventories, the RD- Connect catalogue should offer more detailed information on the content of each database (N of samples/registered cases for a certain disease) and be regularly updated by an automatic alert system and through the active participation of biobanks/registries. That would help researchers find information on the availability of the biomaterial/data they need and shorten the times required to achieve their research results. Also, the catalogue will promote networking interaction of its members. RD-Connect online catalogue of biobanks and registries: what do we add to the existing? Sabina Gainotti*, Paola Torreri*, Elena Bravo*, Domenica Taruscio*, Heimo Muller**, Robert Rehis**, Peter Abuja**, Gaelle Blandin***, Estrella Lopez****, Manuel Posada****, Marco Crimi*****, Lucia Monaco***** *Istituto Superiore di Sanità, Rome, Italy; **Medical University of Graz, Austria; ***Univeristy of Marseille, France; **** Istituto de Salud Carlos III, Madrid, Spain; *****Telethon Foundation, Milan, Italy A template for a “visit/identity card” (ID card) has been created for pilot biobanks and registries included in the catalogue, providing essential information that researchers may need to know when they consult the catalogue: Name of the database; name of the P.I. and contact person(s); hosting country; year of establishment; sources of funding; diseases covered; procedures used for quality control. P.I. or registries/biobanks contact persons will be invited to check their ID cards with the request to accept/deny inclusion into the RD-Connect catalogue, and to provide further detail about quality standards and accessibility of samples and information. In order to achieve this goal the design of the “ID-card” will be based on proven Web 2.0/social media principles.
IODP Exp395: Reykjanes Mantle Convection and Climate Anita Di Chiara, Istituto Nazionale di Geofisica e Vulcanologia ..to reach the objectives of Expedition: 1) Oceanic crust: to test contrasting hypotheses for the formation of V-shaped ridges and troughs 2) Ocean circulation: to understand temporal changes in ocean circulation and explore connections with plume activity 3) Chemistry and hydrothermal circulation: to reconstruct the evolving chemistry of hydrothermal fluids with increasing crustal age and varying sediment thickness and crustal architecture. Fig.1 Bathymetry of North Atlantic Ocean. Black labels = Expedition 395 sites, gray labels = Expedition 384 and 395C sites, brown polygons = contourite drifts A transect over the North Atlantic.. • Expedition 395 (July-August 2023), following the previous Expedition 384 (July-August 2020) and Expedition 395C (July-August 2021), drilled a transect of a total of six sites in the Reykjanes Ridge (North Atlantic Ocean), southwest of Iceland (Fig.1). • Around the Reykjanes Ridge, the oceanic crust is characterized by a series of V-shaped ridges and troughs (Fig.2), whose origin is uncertain. • In the North Atlantic there are (contourite) sediments, deposited over the last 5 million year, which allow for reconstructing past Ocean circulation. Fig.2 Free-air gravity anomaly, red star = Iceland plume center, arrows = V-shaped ridges. A paleomagnetist job on the JOIDES Resolution: • Dating the sediments: As the marine sediments retain a record of the past magnetic field variations, a paleomagnetist can use these variations (magnetic polarity changes) to assign an age by comparing these magnetic polarity changes to a reference Geomagnetic Polarity Time scale. The oldest age of the recovered sediments is 32 million of years. • How? Measuring remanent magnetization in all the archive half-cores (Fig. 3A) and on discrete cubes (Fig. 3B) collected in the working half- cores. Fig.3. A) Measuring the half-core magnetization using the shipboard Superconducting Rock Magnetometer; B) Measuring discrete cubes with the JR6 magnetometer. (Photo credit Jen Field-Outreach Officer). A B
CONOCIMIENTO PARTICIPATIVO -Producción de conocimiento nuevo -Beneficios personales y sociales -Avances para el conocimiento científico Insumos para la transformación social TERRITORIO -Recurso natural -Espacio relacional -Dominación política -Representación simbólica -Territorio inmaterial Desigualdades socio- territoriales JUSTICIA AMBIENTAL Asimetrías en la toma de decisiones Movilización social y política -Movimiento social -Desigualdad en la distribución del riesgo ambiental Riesgo ambiental La producción de conocimiento participativo desde el territorio. Aportes para la justicia ambiental en la Cuenca Matanza-Riachuelo, Buenos Aires-Argentina Castro, Leticia y Arza, Valeria ¿De qué manera la participación social en la producción de conocimiento desde el territorio puede contribuir a impulsar soluciones que promuevan la justicia ambiental? CASO: CUENCA MATANZA RIACHUELO MARCO TEÓRICO MATRIZ DE ANÁLISIS DE CASOS EN PROCESO…. -Habitada por más de 4,5 millones de personas -Abarca 14 municipios,9 comunas 64 km, 2047 km2 -Valorado como recurso natural y patrimonio histórico, arqueológico y cultural -Contaminación de diversas fuentes: industriales, cloacales, residuos sólidos, producción agropecuaria CAUSA MENDOZA ANTICIPANDO LA CRECIDA- Arroyo Dupuy Laferrere INATURALIST Biodiversidad en la CMR CUENCA EN RED- Biocorredor del Cildañez TERRITORIO RS AN AN sobre representaciones previas corredor bio-cultural de la CMR Cuenca-Biocorredor- Red DESIGUALDAD P P P selección de más barrios afectados subcuencas; vulnerabilidad social zona Sudoeste de la CABA (Comunas 8 y 9) ASIMETRÍA EN LA TOMA DE DECISIONES RS RS AN asesoramiento a la gestión, jerarquización de actores comunitarios participación ciudadana-gestion responsable y sostenible gestión asociada RIESGO AMBIENTAL RS AN P medición y concientización sobre percepciones previas involucramiento y concientización factores de contaminación, contra el entubamiento MOVILIZACIÓN RS P RS trabajo con redes preexistentes énfasis en la participación ciudadana participación institucionalizada CONOCIMIENTO AN AN AN complementariedad de fuentes de datos crowdsourcing-grandes volúmenes de datos sobre el patrimonio enfoque transdisciplinario INSUMOS PARA LA TRANSFORMACIÓN AN AN AN para los sistemas de alerta temprana medición/reconocimient o de la biodiversidad para propuesta de corredor diseño de proyecto. orientación a la gestión -Entrevistas semi-estructuradas para conocer las percepciones de los beneficios personales, sociales y científicos de estas experiencias de conocimiento participativo -Fallo de la CSJN-2008 -Ordena la recomposición ambiental -Se instala como uno de los principales conflictos socio-ambientales del país This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. Referencias: AN- Aporte novedoso P- Problematización RS-Resignificación
Assessing the Problem The Undergraduate Learning & Community Center ULCC A day at the Rohan Kapoor & Tamana Ranka Faculty Advisor: Connie Hanel The foundation of the center’s success is twofold; first the environment created by the undergraduate school of management presents an inviting space exciting space that welcomes students in while providing supportive work stations, the next key component are the tutors that welcome and embrace our students with positive energy as they share their knowledge to promote individual success. What is the ULCC? The ULCC offers tutoring in all 7 of the School of Management prerequisite courses. • ECO 181 – Macroeconomics • ECO 182 – Microeconomics • MGA 201 – Introduction to Financial Accounting • MGA 202 – Introduction to Management Accounting • MGQ 201 – Introduction to Statistics for Analytics • PSY 101 – Introductory Psychology • Mathematics – PreCalculus and Calculus Whether you’re struggling with fundamentals or just want to boost your GPA, tutors are center-certified and here to help you meet your academic goals. If English is not your first language and you want to strengthen your communication skills, an ESL Coach is also available. ULCC tutors possess a GPA of 3.5 or higher in their designated course(s) and go through vigorous training including 10 hours of new hire training session, as well as a FERPA tutorial on maintaining confidentiality. Located in the lower level of the Jacobs Management Center, the Undergraduate Learning and Community Center includes three classrooms, a community area, tutoring facilities and a group study area all dedicated exclusively to our undergraduates, with technology throughout to enhance their experience. The project was made possible by a $500,000 lead gift from Frank, BS '66, and Marilyn Clement, with matching funding from the UB Provost's Office and an additional anonymous contribution. ULCC is place where students can walk in and feel excited to be a part of a learning and community Hub. Tutoring at the ULCC Sept. Oct. Nov. Dec. Fall Total Jan. Feb. Community Area 984 1102 815 730 3631 117 989 Learning Center & Tutoring 172 220 167 61 620 9 358 Total: 1156 1340 1000 796 4292 126 1338 The ULCC Success Story Connie Hanel Manager, ULCC
GLOBAL ANALYSIS Two density peaks for winter and summer SST Progressive widening of the curve towards the high/maximum values Higher positive trend in the Eastern Mediterranean basin Mean Mediterranean SST time series SST daily trend 1982-2019 The Mediterranean, almost 40 years of continued warming Global density plot Mean Mediterranean SST presents a warming trend since the 80s of the XX century to the present time but with a strong seasonal component that can mask actual trend Positive trend for the global mean SST with the higher warming rate in the Eastern Mediterranean basin and the lower trend in the Central Mediterrane- an basin (south of Italy) REGIONAL TREND ANALYSIS SST trend component Positive trend for all quantiles for global Mediterranean Accelerated warming for 75 and upper quantiles than in lower quantiles Highest quantile trend for 75 quantile in the Western Mediterranean SST trend quantiles time series Three different zones regarding daily warming trend for SST: Western, Central and Eastern Mediterranean basins. Highest values in the Eastern basin and the northern half of the Western basin Lower values in the Central Mediterranean basin • Mediterranean SST has been consistently warming since the 80’s • Warming presents spatial variability, being higher in the Eastern Med basin • Warming made up of a higher “most frequent SST” rather than an incre- ment of extreme values • Positive warming trend in the whole Mediterranean basin • Highest trend in most of the Eastern basin and northern half of the West- ern basin, lowest but still positive trend in the Central Mediterranean CONCLUSIONS Francisco Pastor Meteorology and Pollutant Dynamics Area Fundación CEAM (Spain) Website: http://www.ceam.es/SST This work is part of the research project VERSUS CGL2015-67466-R (MICINN/FEDER), funded by the Spanish R&D&I national plan of Spanish Ministry of Science, Innovation and Universities and European Regional Development Fund and the IMAGINA-PROMETEO (PROMETEU/2019/110) fund- ed by the Generalitat Valenciana. Data source GHRSST Level 4 AVHRR_OI Global Blended Sea Surface Temperature Analysis (GDS ver- sion 2) from NCEI obtained from PODAAC (https://podaac.jpl.nasa.gov/dataset/AVHRR_OI- NCEI-L4-GLOB-v2.0)
Recovery of TESS Stellar Rotation Periods with Convolutional Neural Networks Zach Claytor and Jennifer van Saders Institute for Astronomy, University of Hawaiʻi Conv2D MaxPool2D Dense x3 x2 We train our network on wavelet power spectra of simulated light curves with real TESS systematics, then predict both the rotation period and its uncertainty. Predicting the period uncertainty lets us select objects with more confident estimates. With this selection, we recovery 60% of objects’ periods to within 10% accuracy. TESS period recovery efforts are confounded by mission systematics. But can neural networks see through the noise? zclaytor@hawaii.edu @AstroClayt zclaytor ●NNs can “learn” the noise and ignore it to some extent. ●We are currently testing our network on a number of simulated and real light curves. ●Look for this on the arXiv in the coming weeks!
The toxicity testing experiments resulted in a final list of 22 compounds that interfered with development of the neuromasts. Example Results of Toxicity Testing Many industrial chemicals are released into the environment every year without a full assessment of their adverse effects on human life and the ecosystem. We are in urgent need of new screening methods that are rapid and can predict toxicity across species. We aim to understand the developmental toxicity effects of some of these environmental pollutants on the zebrafish posterior lateral line which is made up of neuromasts. Zebrafish, like other fish species, use their neuromasts to sense water flow. Introduction Acknowledgements • This research was funded by National Institute of Health (P30ES023512). • The transgenic fish (GW57A) were obtained from Vladimir Korzh Institute of Molecular and Cell Biology (IMCB), Singapore References Gallardo, V. E. et al. Phenotype-driven chemical screening in zebrafish for compounds that inhibit collective cell migration identifies multiple pathways potentially involved in metastatic invasion. Disease models & mechanisms 8, 565-576, doi:10.1242/dmm.018689 (2015) The views expressed may not reflect US EPA policy Conclusions/Future Directions • We developed a method for rapid screening of large number of chemicals to identify zebrafish neuromast disruptors. • We identified serotonin as a possible pathway being targeted by the disruptors which we confirmed through some preliminary experiments. • We theorize that Serotonin doesn’t only regulate mood, but also plays a role in cell proliferation/motility. Our next step would be to test the newly identified serotonin effectors on different cancer cell lines to better understand the role of serotonin in cancer metastasis. Serotonin http://tobeagenius.tumblr.com/tagged/infographic • Zebrafish embryos expressing green fluorescence in neuromasts were exposed to ~300 pesticides/antimicrobials at 3 concentrations within hours of being fertilized. • After 4 days of exposure to the chemicals, the embryos were imaged and analyzed. • All chemical testing was completed within 6 months. Methods and Results High Throughput and Follow-up Screens *dpf – days post fertilization; **hpf – hours post fertilization Testing Serotonin Effectors on Neuromast Development https://sapiensoup.com/serotonin Gilmour Group – Eu. Mol. Bio. Laboratory Monroe et al. – Front. Cell. Neurosci., 2015 Rachna Mirchandani1, Savini Thrikawala1, Cliff Stephan2, Nghi Nguyen2, Mary Sobieski2, Richard S Judson3, Jan-Åke Gustafsson1, Maria Bondesson4 1Dept. of Biology and Biochemistry, University of Houston 2Center for Translational Cancer Research, IBT 3National Center for Computational Toxicology, US EPA 4Intelligent Systems Engineering, Indiana University Developing the Zebrafish Neuromast Assay as a Predictive Toxicity Model André Künzelmann, UFZ
Title: Subtitle Leeroy Jenkins, author2, author3, author4 ! ! Can we understand exoplanets better if we use both high res spectra and direct images in a machine learning pipeline? Simultaneous detection and characterization of exoplanets using machine learning Rakesh Nath (rakesh.nath@uliege.be), Olivier Absil η = 0.01 Obtain raw cube for consisting of images and spectra • Use a 1DCNN to discriminate between spectra with and without plane. • Use a deep MLP to regress to ! and ! log(g) Teff 1. Measure the spectrum for each spaxel and normalize by total 2. Compute a reference spectrum and divide it out of the bins 3. Compute PCA and subtract most of the stellar components from the spectrum. HIGH CONTRAST IMAGING HIGH RESOLUTION SPECTROGRAPHY MACHINE LEARNING η = 0.1 Exoplanet detection and characterisation are typically conducted independently. In principle, however, complete information of the diversity in exoplanetary systems cannot be captured by either method independently. A number of recent papers have combined detection and characterisation simultaneously(Hoeijmakers et al 2016 etc.). However, these papers have only combined both detection and characterisation by processing the same data through independent methods. Therefore there is a need to combine these co-dependent techniques using a common pipeline. We phrase the detection of planet using pure spectra as a classification problem. We use synthetic data to train a 1D CNN. The hypothesis equation is defined as ! Where ! if a planet is present. We use the Pickles catalog to generate ! of G-M type stars and the BT-SETTL Ames to generate ! of planets with ! . We have tested this for different values of contrast ! . If a planet is detected then we feed the spectra to an MLP to regress to ! . F(λ) = F⋆(λ) + μFp(λ) μ = 1 F⋆(λ) Fp(λ) 800 < Teff < 1200K η (Teff, log(g)) INTRODUCTION METHODS Regress to ! , completed training, testing in progress Combine the disparate steps into a single integrated pipeline HCI+new data from Keck planetary imager and characteriser (KPIC) (Teff, log(g)) RESULTS NEXT STEPS ML Crosscorrelation