fairdataihub/poster-sentry-training-data huggingface dataset:
Gut microbiota composition in Iberian pigs fed with olive oil by-products during the growing period M. Muñoz1,2, J.M. García-Casco1,2, G. Lemonnier3, D. Jardet3, O. Bouchez4, M.A. Fernández- Barroso1,2, F.R. Massacci3, A.I. Fernández1, A. López-García1,2, C. Caraballo1,2, E. González- Sánchez5, C. Óvilo1 and J. Estellé3 1INIA, Mejora Genética Animal, Crta. de la Coruña, km 7,5, 28040 Madrid, Spain, 2Centro de I+D en Cerdo Ibérico INIA-Zafra, Ctra Ex-101, km 4.7, 06300 Zafra, Spain, 3INRA, UMR1313 GABI, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France, 4INRA, US 1426 GeT-PlaGe, Genotoul, Castanet-Tolosan, France, 5Universidad de Extremadura, Escuela de Ingenierías Agrarias, Avda. Adolfo Suárez, s/n, 06007 Badajoz, Spain; mariamm@inia.es The traditional Iberian pig production system is characterized by a final open-air fattening period (montanera), in which the animals are fed acorns and grass, preceded by a growing period where the feeding is restricted to avoid undesirable weight gain. New growing diets based on olive agro-industrial by-products could be an alternative to avoid this restriction. The objective of the current study (of TREASURE project) was to analyse the effect of two growing alternative diets on the gut microbiota composition from faecal samples collected before and after montanera. Three diets, one incorporating dry olive pulp in the feed (DD), one incorporating olive cake in wet form (WD) and a control diet (CD) were supplied to 45 animals (15 per diet) during the growing period (45 to 95 kg of body weight). The gut microbiota composition of each individual was evaluated at two time points: before transition to montanera (95 kg) and at slaughter (160 kg). Microbiota analyses were performed by re-sequencing the bacterial 16S gene (V3-V4) in an Illumina MiSeq. Bioinformatics analyses were performed by using Qiime’s open-reference subsampled OTU calling approach. The effect of diets on microbiota composition and diversity was evaluated using the Vegan package in R. Bray-Curtis distances, NMDS and PERMANOVA analyses showed significant effects on microbiota composition. WD caused an increase in microbiota diversity. In the second sampling point, differences in composition and diversity could be also observed after acorn supplementation. Funded by European Union’s H2020 RIA program (Grant agreement no. 634476).
The HOOP project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N°101000836. Technology #4 Insect larvae farmed on biowaste or agri-food by-products Innovation keys for the environment • Combination of larval rearing and waste management (potentially lucrative business). • Proteins production with a up to 10 times lower land use than meat proteins. (1) • Lauric acid produced from an alternative source to coco and palm seeds. • Alternative fertiliser as side-stream. Process flowchart Animal-free agrifood by-products Larvae   HoReCa Food waste(2) Pre-treatment  Larvae fattening biowaste reduction  Larvae sieving  Hygenization Drying Dried larvae  solid digestate    OFMSW(2) Sieving Fractioning Grinding   Protein hydrolizate  AD digestate(2)  Dewatering Frass  Lipids Larve meal (feed)  Chitin / Chitosan Legend: Biowaste feedstock Process input Process step Bioproduct Description Some insects can be safely included in feed and food formulations. Species like Tenebrio Molitor (yellow mealworm) and Hermetia Illucensis (black soldier fly - BSF) are farmed with different substrates, including residual streams of human food. Their bodies provide high-quality nutrients and chitin with a much lower environmental impact than traditional value chain processes. Moreover, their excreta (frass) is a valuable and marketable fertiliser. Biowaste feedstocks • Agri-food by-products • Brewery by-products • Market leftovers (animal free) • Households or HORECA food waste (2) • Digestate from anaerobic digestion (2) Market price [EUR] Business 2 Business or Business to customer Bioproduct(s) Market sector Market price Larval meal (grinded larvae) feed for domestic and exotic animal 10 €/kg for BSF [B2C] Livestock feed (cattle, aquaculture) 1.5-2 € / kg [B2B] Frass (larvae excreta) agriculture 30 € / ton [B2B] Hidrolised Insect Protein Livestock and pet feed 6’500 € / ton dry matter [B2B] Chitosan (from chitin) Agrochemicals, water treatment 40’000 – 50'000 € / ton [B2B] Fats / oils 1’600 € / ton [B2B] Lauric Acid Cosmetic 1'900 – 2'100 € / ton [B2B] Live larvae feed for domestic and exotic animal 7-8 €/kg [B2C]
Faculteit / departement Echoes of Yesterday An Exploration of Vintage Postcards Visit the project website The data Metadata ●Named entity tagging ●Geographic coordinates retrieval Image processing ●Image clustering ●Visual semantic search Website ●Visual semantic search engine ●Interactive map ●Exploratory analysis ●Tourism analysis Constrained by time, this project also acknowledges that the dataset has a lot to offer for future research. The analysis of dates on the postcards indicated that the majority of them date to a period between 1889 and 1922, but what would a detailed analysis of those dates bring? What would it say of the location as it stands today? Were the monuments and architecture on it destroyed in the World Wars? Is it protected as heritage today? An analysis of stamps on the postcards could perhaps offer an insight into changes in postal stamps over time, they could track tourism trends, locations, and people as they (postcards and persons) travel through Belgium. The existing images could also be used for creation of new images through the use of AI and Machine Learning models. Future research The team Tim Van de Cruys Benoît Cruciﬁx Ina Lamllari Lucia Allende Garrido Iva Stojevic Ivania Nadine Donoso Guzmán Yining Zhu Peiyang Huo Dawn Zhuang The Poststars team worked on the Postcards dataset, a collection of 19th and 20th century Belgian postcards. We analyzed 35,000 of the postcards, selected based on copyright restrictions. The postcards were collected in Belgium and depict various aspects of daily life, including places, monuments, and villages from that era. Echoes of Yesterday: an Exploration of Vintage Postcards is the webpage that created for this project. It features an interactive map that showcases the various locations represented on the postcards, along with an exploratory analysis on their publication and distribution. Additionally, there is a tourism analysis based on image clustering. What's particularly intriguing is that users are able to search through the postcard collections using keywords via the search engine on the website. Methodology The dataset consists of image ﬁles and metadata for each individual postcard. Uniform titles in the metadata were tagged with wikineural named entity tagging model, as the index for geographic coordinates retrieval from openstreetmap data. CLIP (Contrastive Language Image Pre-Training) is a pre-trained neural model that learns to recognize the relationship between language and images. By encoding our dataset as CLIP embeddings, we can use the model for visual semantic search.
Introduction Young-Woo Seo1, Won-Jae Lee1, Young-Joo Kim1, Sun-Ok Chung1*, Young-Kyun Jang2, Seung-Ho Jang2 , Im-Sung Bae3 , College of Agriculture and Life Sciences, Chungnam National University, Republic of Korea1, Shinan Green-Tech Co., Ltd, Suncheon, Cheonnam 58027, Republic of Korea2, Green Control System Co., Ltd, Gwangju 61027, Republic of Korea3 Temperature/humidity in greenhouse Automatic or manual control in set value Real-time, visible at a glance Low error rate, responsible Materials and Methods Results and discussion Conclusions System block diagram • Sensor node : Sensors + ZigBee • Control node : ATmega128 + ZigBee + Relay Design and Construction of a Remote Monitoring and Control System for a Dehumidifier combined with a Heating Module Block diagram of monitoring and control system Developed sensor and control interface monitoring program Review of the results  Average error = 0.28 ˚C in the target temperature  Average error = 0.99% in the target humidity Temperature(left) and humidity(right) control experiment graph Target Temperature Average and Standard deviation 30 ˚C 29.9±0.28 ˚C 30.51±1.05 ˚C Target Humidity Average and Standard deviation 70% 70.7±0.99% 69.9±1.25% Average and standard deviation on temperature control experiment Average and standard deviation on humidity control experiment Acknowledgement Developed sensor and control interface module(Left), Location of the sensor nodes used in the experiment(Right) This work was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries(IPET) through Advanced Production Technology Development Program, funded by Ministry of Agriculture, Food and Rural Affairs(MAFRA)(Project No. 316082-03) Control Systems Receive data in real-time Auto/manual control Save files in .xls or .txt format Dehumidifier Control Schematic of the main control system Improvement factors  More and various sensors input in need  Further test under crop growing conditions  Control algorithm
Comment faire partie de l’EOSC ? Il existe de nombreux points d’accès vers l’environnement EOSC, couvrant un large spectre de communautés de recherche thématiques ou régionales, ainsi que diﬀérentes façons de s’impliquer dans la gouvernance de l’EOSC. C’est le cas de l’EOSC Association, au sein de laquelle les organisations de recherche en Europe peuvent s’impliquer: eosc.eu. Qu’est-ce que l’EOSC? L’EOSC est une démarche visant à construire un environnement virtuel pour les infrastructures de données scientiﬁques existantes. L’objectif est de rendre les données de recherche, les outils et les services associés plus faciles à trouver, à accéder et à réutiliser. L’EOSC vise également à interconnecter et combiner les jeux de données entre disciplines et au-delà des frontières, aﬁn de rendre possible des découvertes inattendues. Comment les chercheurs peuvent-ils en proﬁter? Un premier bénéﬁce pour les chercheurs est l’accès facilité aux données, publications, outils et services. Vous pouvez également tirer avantage des données réutilisables, d’une plus grande visibilité pour votre recherche, et d’un accès aux services dédiés à la recherche mis à disposition par les meilleurs fournisseurs de service Européens à travers le portail EOSC: eosc-portal.eu. Comment les chercheurs peuvent-ils s’impliquer? Rendez vos données trouvable, accessibles, interopérables et réutilisables (FAIR). Utilisez les outils et données à travers l’EOSC pour augmenter sa visibilité. Impliquez-vous dans la gestion des données de recherche. Rejoignez le programme des ambassadeurs EOSC: eosc-pillar.eu/ambassadors-programme! Connecting Research Across Europe and Beyond Ambassadors Programme L’EOSC (European Open Science Cloud, Cloud Fédéré Européen pour la Science Ouverte) a un rôle important à jouer dans la façon dont travaillent les chercheurs en Europe. En facilitant le partage et la réutilisation des résultats de recherche et des données, l’EOSC a un impact positif non seulement sur la science, mais sur l’ensemble de la société. Etes-vous prêts à soutenir votre réseau et votre institution dans leur implication dans l’EOSC? Contribuez au Cloud Fédéré Européen pour la Science Ouverte Etes-vous intéressés par la science ouverte ? Faites connaitre l’European Open Science Cloud (EOSC) – et montrez aux chercheurs, étudiants et décideurs de votre institution comment proﬁter de l’EOSC et comment s’impliquer ! Si vous souhaitez plus d’informations sur le programme d’ambassadeurs EOSC-Pillar, EOSC-Pillar has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 857650. contactez-nous
1. Radio relics Relics are elongated Mpc-size radio sources located in the outskirts of merging galaxy clusters. These radio relics trace merger shocks where particles are accelerated to relativistic energies, causing them to emit at radio wavelengths. It is still being debated by which physical mechanism these particles are accelerated. Reinout van Weeren, Felipe Andrade-Santos, Christine Jones, William Forman, Georgiana Ogrean Harvard-Smithsonian Center for Astrophysics Probing the Physics of Particle Acceleration at ICM Shocks Subaru gri 150 MHz LOFAR radio 0.5 – 4.0 keV Chandra 2. Shock Mach number Particle acceleration models make predictions about the relation between shock Mach number and the observed radio spectral index. However, existing X-ray observations lack the sensitivity to measure the Mach numbers at large cluster centric radii with high- accuracy to test these models. 3. A case study A textbook example of a radio relic is the one in the cluster RXJ0603.3+4214 (z=0.225). In a 240 ks Chandra observation a hint of a weak M~1.4 shock is found at the location of the relic, by measuring the X-ray surface brightness jump. No useful constraint could be obtained on the pre- shock temperature. 5. Conclusion X-ray Surveyor observations will enable precise measurements of low-Mach number shocks in cluster outskirts both via the density and temperature jump, crucial for testing particle acceleration models. X-ray Surveyor simulated (hdxi, 100 ks) Chandra observed (ACIS-I, 240 ks) Radio Relic pre-shock region post-shock region 4. X-ray Surveyor simulations Based on the Chandra count rate and measured ICM properties, we simulated an X-ray Surveyor observation of a Mach = 1.4 shock with, a post-shock temperature of 9 keV. We determine the shock Mach number from the surface brightness profile and via measurements of the pre- and post-shock temperatures. References: van Weeren et al. (2010, Science, 330, 337); van Weeren et al. 2012 (A&A, 546, 124); van Weeren et al. 2015 (ApJ, submitted); Dawson et al. (in prep); Eckert et al. (2011, A&A, 526, 79); Ogrean et al. (2013, MNRAS, 433, 812) 900 kpc 4 arcmin 0.5-4.0 keV 0.5-4.0 keV X-ray Surveyor simulated pre- and post-shock spectra (calorimeter, 100ks) Tpre-shock = 5.9 ± 0.3 keV (model T=6.4 keV) Tpost-shock = 8.8 ± 0.2 keV (model T=9.0 keV) Mach number = 1.5 ± 0.1 (model M=1.4) Mach number = 1.38 ± 0.03 (model M=1.4) Mach number = 1.4 ± 0.3 (observed) Observed and simulated surface brightness profiles across the relic RX J0603.3+4214 Redshift (0.225) and Abundance (0.25) were frozen in the fit, nH was left as a free parameter. Double power-law projected density profile fit with a jump Subaru image: William Dawson, Nathan Golovich
Epidemiological studies on reservoir hosts and potential vectors of Grapevine flavescence dorée and validation of different diagnostic procedures for GFD (GRAFDEPI) Funding Mixed non-competitive-virtual pot funding mechanism. Each funder only pays for the participation of their own national researchers. Total funding € 213,000 Picture 1 Picture 1 Picture 1 Goals The goals of the GRAFDEPI project are: • to improve the knowledge on epidemiological cycle of the disease; • to harmonize flavescence dorée diagnostic procedures within the EU. Research consortium IT-CRA-PAV, AGES-AT, CRAW-BE, TR-PPRS, PT-INRB, ACW-CH, BE-ILVO, DISTA-IT, DIPROVE-IT, CRA-ABP-IT, IPEP-SB, NIB-SI, IRTA-SP Contact information Project coordinator: Graziella Pasquini graziella.pasquini@entecra.it Key outputs and results • availability of validated conventional and real time PCR protocols for phytosanitary labs • identification of new potential vectors of FD phytoplasma • upgrading of the geographical distribution of FD strains in involved countries and individuation of ‘unusual isolates’ • design of surveillance schemes for the disease control Objectives • Validation of diagnostic protocols at European level • evaluation of new alternative hosts and vectors in the epidemiological cycle of the disease • characterization of FD isolates in different countries • suggestions for new control strategies 05/2012-04/2014
XLII CONVEGNO NAZIONALE DELLA SOCIETÀ ITALIANA DI CHIMICA AGRARIA 35 Soil Abstract 102 A LIMING AGENT BY RECYCLING MOLLUSC SHELLS Dell''Orto M.*[1], Nisar S.[2], Overmo M.B.[3], Josué G.[2], Andreola C.[2], De Nisi P.[1], Tambone F.[1], Baldi C.[5], Føreid B.[4], Fatone F.[2], Adani F.[1] [1]Università degli Studi di Milano-Dipartimento di Scienze Agrarie e Ambientali ~ Milano ~ Italy, [2]Università Politecnica delle Marche ~ Ancona ~ Italy, [3]Norsk Landbruksrådgiving Nord Norge ~ Trofors ~ Norway, [4]Norsk Institutt for Bioøkonomi ~ Ås ~ Norway, [5]Co.Pe.Mo- Cooperativa Pescatori Molluschicoltori ~ Ancona ~ Italy The total EU fishery production amounted to around 4.5 million tonnes in 2022, of which 1.1 from aquaculture. This poses a challenge regarding the huge volume of wastes derived from seafood production and processing, in both economic and environmental terms. Anyway, these wastes contain valuable compounds that can be recovered in agriculture. The EU-funded SEA2LAND project, based on the circular economy model, explores the production of large-scale fertilisers in the EU from fishery and aquaculture wastes. In mollusc cultivation and fishery, the main waste is composed by shells, composed of CaCO3 and, at a lesser extent, of MgCO3, making them a promising source of liming agent for acidic soil correction. Several areas in Europe have low pH soils, due both to natural and anthropogenic processes, requiring lime distribution for agricultural production. Agricultural lime products are categorized as ‘EC Fertiliser Liming Materials’ in the EU Fertilizing Product Regulation (2022), the most used being ground limestone, dolomitic ground limestone, chalk, ground chalk, burnt lime and hydrated lime. However, although needed for soil quality and agricultural production, liming is often discarded due to its costs. The possibility to use waste products as liming agents allows to address both economic and environmental issues. The shellfish waste used in this work is a mixture of mussel, clam and murex shells discarded from a mollusc processing facility located in Ancona (Italy), whose production of discards accounts for about 1.4 ± 0.2 t·d-1. Waste was pre-treated by shredding the feedstock in the presence of water in a 1:3 (water: shellfish) ratio and the crushed shells (around 80% dry matter) were separated by gravity. The obtained shells were dried, milled and finally, sieved at 1 mm to obtain the liming agent with different particle sizes. These milled shells were first compared to reference liming agents (CaCO3 and CaO) in an incubation experiment to determine their effect on soil pH (UNI EN 14984:2006 method). Then the recycled liming agent was applied in two sites in northern Norway that needed liming, one with oceanic climate and one with more continental climate. The recycled liming agent was compared to conventional liming agent and no liming. Grass was sown at both sites. Results from the incubation trial suggest that the recycled liming agent has a high pH corrective power, similar to CaO and CaCO3. The results on soil pH and yield from the field trials will also be presented.
‘Storyboarding’ in the classroom Malizukiswe V. Vacu1, Craig Ehrenreich1, Nelisiwe Chonco1, Grace Aguti2, Xiangcong A. Luo3, Bianke Loedolff1† 1Faculty of AgriSciences, Stellenbosch University; 2Earth University; 3Faculty of Arts & Social Sciences, Stellenbosch University Professional Educational Development of Academics (PREDAC) 2019 vs. https://www.storyboardthat.com/ https://wordsearchlabs.com/view/108017 1 2 3 4 5 Ibhodi elixoxa indaba insiza-kufundisa exoxa indaba ngokusebenzisa izithombe engalekelela abafundi kuzona zonke izinhlaka emkhakheni wezemfundo. Isibonisi sezithombe sinika amandla imiqondo eyisisekelo esekwe kwisifundo ngasinye. Bobali othisha kanye nabafundi babamba iqhaza kulenqubo yokubekwa kwendaba ngezingxoxo eziqhubekayo egumbini lokufundela. Imiqondo nemibono ikhonjiswa ngendlela ebonakalayo ebhodini elixoxa indaba futhi ngokujwayelekile ingafaka (i) ukubuyekeza isihloko kanye nokwethulwa kwemibono ethuthukile ngaphakathi kwesihloko, (ii) izinjongo zokufunda, (iii) iskhathi sokuzilungiselela kwabafundi ngaphandle nangaphakathi kwegumbi lokufundela, (iv) izithiyo zokufunda kanye (v) nokuqonda imiqondo yokufunda eyinkimbinkimbi equkethwe. Abafundi baphonswa inselela yokuthola imqondo esemqoka ngaphakthi kwendida-magama, ukuxhumana kwawo amagama, nokukhuliswa kwemibuzo eyinselelo yengqikithi. Ukusetshenziswa kwamabhodi axoxa indaba kunika abafundi ithuba lokukhulisa amakhono abalulekile okucabanga nokudala futhi kunikeza abafundi inkundla yokusebenzisa nokuhlanganisa okuphokophelwe kulesosifundo. †Correspondence: bianke@sun.ac.za †Correspondence: bianke@sun.ac.za
KIT – The Research University in the Helmholtz Association First transmission of electrons and ions through the KATRIN beamline KATRIN collaboration 2018 JINST 13 P04020 Modeling of the response function of the KATRIN experiment J. Behrens and L. Schimpf for the KATRIN collaboration e e e e e Cyclotron radiation depends on pitch angle and z- position Asymmetric broadening of transmission function by amount of emitted cyclotron radiation We acknowledge the support of Helmholtz Association (HGF), Ministry for Education and Research BMBF (05A17PM3, 05A17PX3, 05A17VK2, and 05A17WO3), Helmholtz Alliance for Astroparticle Physics (HAP), and Helmholtz Young Investigator Group (VH-NG-1055) in Germany; Ministry of Education, Youth and Sport (CANAM-LM2011019), cooperation with the JINR Dubna (3+3 grants) 2017–2019 in the Czech Republic; and the Department of Energy through grants DE-FG02-97ER41020, DE-FG02-94ER40818, DE-SC0004036, DE-FG02-97ER41033, DE-FG02-97ER41041, DE-AC02-05CH11231, and DE-SC0011091 in the United States. Emission of cyclotron radiation Influence visible at 83mKr-campaign by broadening of lines up to 3% (see poster #13) Properties of the transmission function Electric and magnetic field studies Impact on 𝒎𝝂measurement Correction of cyclotron radiation compensates the systematic shift of Δ𝑚𝜈2 = −24.1 ⋅10−3 eV2 not to exceed the total error budget of 𝜎sys,tot = 0.017 eV2 Kassiopeia: a modern, extensible C++ particle tracking package Daniel Furse et al 2017 New J. Phys. 19 053012 Detailed magnetic and electrostatic simulations required for modeling of transmission function Δ𝐸 𝐸= 𝐵min 𝐵max ∼1 eV at 𝐸0 = 18.6 keV Analytical transmission function (isotropic source) defined by MAC-E filter properties 𝑇𝐸0, 𝑈a = 0 for 𝐸0 < 𝑞𝑈a 1 − 1 −𝐸0 −𝑞𝑈a 𝐸0 𝐵S 𝐵a for 𝑞𝑈< 𝐸0 < 𝑞𝑈a + Δ𝐸 1 − 1 − 𝐵S 𝐵max for 𝑞𝑈a + Δ𝐸< 𝐸0 Energy resolution Near future: Investigation by dedicated electron source (see poster #26) Response function is convolution of spectrum, transmission function and other systematics Field inhomogeneities in analyzing plane lead to radial dependencies (due to large spectrometer size) 𝑈a, 𝐵min computed by detailed simulations using full beamline with 3D main spectrometer geometry Impact on 𝒎𝝂measurement Correcting for radial dependencies compensates the systematic shift of Δ𝑚𝜈2 = +3.3 ⋅10−3eV2 (𝐵min) and Δ𝑚𝜈2 = −3.6 ⋅10−3eV2 (𝑈a) β Decay Spectrum, Response Function and Statistical Model for Neutrino Mass Measurements with the KATRIN Experiment Marco Kleesiek et al 2018 Analyzing plane of the MAC-E filter Comparison with measurement results from calibration sources (e.g. 83mKr) to validate simulation model (see poster #8) 𝐵min 𝐵max Analyzing plane Magnetic Field (T) 2 4 𝐵S 𝑈a Kassiopeia software package used for particle-tracking and field calcu- lations z in m (from center of WGTS) Pitch angle Θ 𝐸C in meV