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visualization and error compensation of demolition robot attachment changing
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Early detection of infectious diseases is the most cost-effective strategy in disease surveillance for reducing the risk of outbreaks. Latest deep learning and computer vision improvements are powerful tools that open up a new field of research in epidemiology and disease control. In this work, these techniques were employed to develop an algorithm aimed to track and compute individual animal motion in real time. This algorithm was used in experimental trials in order to assess African swine fever (ASF) infection course in Eurasian wild boar. Overall, the outcomes showed a strong correlation between motion reduction and fever caused by ASF infection. In addition, infected animals computed significant low movements compared to uninfected animals. The obtained results suggest that a motion monitoring system based on artificial intelligence may be used to trigger suspicions of fever. It would help farmers and animal health services to early detect clinical signs compatible with infectious diseases. This technology shows a promising start up for implementing non-intrusive, economic and real time solutions in the livestock industry with especial interest in ASF, considering the current concern in the world pig industry.
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FOSS4G-IT 2020 19/02/2020, Sessione FOSS4G comunitario e partecipativo - Moderatore: Alessandro Sarretta 00:00:00 Official cartography and/or collaborative maps: what is the future? (Francesco Fiermonte and Gabriele Garnero) 00:13:45 A comparative analysis of the positional accuracy between the voluntary and public geospatial information in Japan (Jun Yamashita) 00:24:15 L'utilizzo di OpenStreetMap all'interno del Club Alpino Italiano (Luca Delucchi, Alfredo Gattai and Alessio Piccioli) 0042:50 Mappare l'accessibilità urbana con strumenti liberi: l'esperienza del PEBA di Padova (Alessandro Sarretta, Elena De Toni and Rachele Amerini) 00:58:00 Il Mapping Party come strumento di supporto alla Governance locale (Roberta Castelli, Francesca Marinetto, Andrea Ajmar and Luciana Dequal) 01:17:10 Dal satellite alla foresta amazzonica ecuadoriana: mappatura “dal basso” e condivisa del gas flaring petrolifero mediante uso di dati VIIRS-Nightfire (NOAA) e Volunteered Geography comunitaria (Francesco Facchinelli, Salvatore Pappalardo, Giuseppe Della Fera, Edoardo Crescini, Daniele Codato, Alberto Diantini and Massimo De Marchi)
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FOSS4G-IT 2020 19/02/2020, Sessione Stato del software e sviluppo nuovi progetti - Moderatore: Luca Delucchi 00:00:00 L'importanza del software libero (Paolo Cavallini) 00:20:30 GeoServer, il server open source per la gestione interoperabile dei dati geospaziali (Andrea Aime and Simone Giannecchini) 00:34:00 GeoNode, il CMS geospaziale Open Source (Alessio Fabiani and Simone Giannecchini) 00:49:30 G3W-SUITE, la suite OS dedicata alla pubblicazione di progetti QGIS come servizi WebGis e il suo utilizzo presso l’Area Vasta Metropoli Terra di Bari (Walter Lorenzetti, Leonardo Lami and Francesco Boccacci) 01:07:00 ATOR Project Manager, un assistente vocale per i progetti archeologici (Andres Reyes, Luca Bezzi, Alessandro Bezzi, Giuseppe Naponiello and Rupert Gietl) 01:29:25 Grafici interattivi e dinamici, un esempio di successo di crowdfunding (Matteo Ghetta and Paolo Cavallini)
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FOSS4G-IT 2020 20/02/2020, Sessione Posizionamento e sensori - Moderatore: Paolo Dabove 00:00:00 A worldwide georeferenced database of regional geoid models (Juan Fernando Toro, Lorenzo Rossi, Daniela Carrion and Mirko Reguzzoni) 00:16:40 Dati raw GNSS da dispositivi Android: analisi delle performance del dispositivo xiaomi mi 9 e sviluppo di una nuova app open source per l’acquisizione dei dati (Lorenzo Benvenuto, Manuel Viaggi, Tiziano Cosso and Giorgio Delzanno) 00:33:15 Analisi meteorologica in tempo quasi reale mediante sensori GNSS in ambiente alpino transfrontaliero (Ilaria Ferrando, Lorenzo Benvenuto, Bianca Federici, Domenico Sguerso, Tiziano Cosso, Roberta Fagandini and Roberto Marzocchi) 00:47:45 Contenuti urbani 3D e da sensori in tempo reale mediante la versione draft di CityGML 3 e Dynamizers (Fabrizio Massara) 01:09:00 progettoPRO Punti di Riferimento Open (Fabio Zonetti)
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FOSS4G-IT 2020 - Apertura Convegno RELATORI: Paolo Dabove - Chair Guido Saracco - Rettore Politecnico di Torino Sebastiano Foti - vice Rettore alla didattica Politecnico di Torino Andrea Lingua - Presidente SIFET Alberto Lauria - Ordine degli Ingegneri della Provincia di Torino
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  • Video
These are additional videos for the 3-Dimensional Organization and Dynamics of the Microsporidian Polar Tube Invasion Machinery manuscripts. There are 6 separate zip files. The description of each file is listed below. 1. Incomplete PT germination: contains incomplete PT germination videos of A. algerae, E. hellem, and E. intestinalis (3 videos for each species) 2. Nuclear live-cell imaging: contains 3 videos of nuclear movement inside A. algerae spores, and 7 videos for nuclear translocation through the PT 3. PT germination of A. algerae: contains 20 videos of the complete PT germination from A. algerae 4. PT germination of E. hellem: contains 20 videos of the complete PT germination from E. hellem 5. PT germination of E. intestinalis: contains 20 videos of the complete PT germination from E. intestinalis 6. Shrinkage of the E. hellem PT: contains 20 videos of the PT shrinkage events observed in E. hellem
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FOSS4G-IT 2020 - 05 KEYNOTE FOSS4G nel Sistema Solare: storia ed evoluzione Presentazione ad invito di Alessandro Frigeri
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King cobra predation events on Varanus nebulosus. Included: photographic evidence of each event, king cobra biometric data from most recent measurements and location information. .csv file column headings: folderid: The Zenodo folder ID containing the photographic evidence of event. obvdate: Date of observation (yyyy-mm-dd) obvtime: Time of observation (24hr) snakeid: Unique ID given to individual king cobras captured svlmm: King cobra snout-to-vent length (mm) tlmm: King cobra tail length (mm) totalmm: King cobra total length (mm) massg: King cobra mass (g) easting: UTM easting (UTM Zone 47N; Datum WGS84) northing: UTM northing (UTM Zone 47N; Datum WGS84) gpsaccm: Accuracy of GPS location (m) notes: Comments on predation event
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Adenosine receptors (ARs), like many other G protein-coupled receptors (GPCRs), are targets of primary interest in drug design. However, one of the main limits for the development of drugs for this class of GPCRs is the complex selectivity profile usually displayed by ligands. Numerous efforts have been done for clarifying the selectivity on ARs, leading to the development of many ligand-based models. The structure of the AR subtype A1 (A1AR) has been recently solved, providing important structural insights. In the present work, we rationalized the selectivity profile of two selective A1AR and A2AAR antagonist investigating their recognition trajectories obtained by Supervised Molecular Dynamics from unbound state and monitoring the role of the water molecules in the binding site.
Data Types:
  • Video