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description Publicationkeyboard_double_arrow_right Report 2022 Netherlands EnglishPublisher:Zenodo Funded by:EC | NIVAEC| NIVAAuthors: Franke, G.J.; Pratihast, A.K.; Knapen, M.J.R.;Franke, G.J.; Pratihast, A.K.; Knapen, M.J.R.;As part of the NIVA project, a platform for AI powered auto review and pre-validation of geo-tagged agriculture images for IACS (Integrated Administration and Control System) will be developed. This platform will be hosted at the Walton Institute on behalf of NIVA. The platform is split into two main aspects, a general facility for image uploading and tagging, and a facility for reviewing by a human or auto-reviewing by an AI model. For the targeted initial three auto-review (AI) tasks, suitable auto-review challenges have been proposed by Paying Agencies. Including the Danish challenge for which the model training and validation is described in this document. In Denmark it is already possible for farmers to use images from a geo-tagged app as prove the activity demand on livestock grazing on grasslands. However, this is resulting in many images being sent in and needing manual inspection for approval. A possible pre-selection by an AI model is helpful. The initial challenge for the AI model is straight-forward, a classification task of approval or non-approval of the grazing activity. Such a model might be relevant for other countries in Europe, especially those with a high percentage of grasslands. All source code is available in NIVA gitlab - –https://gitlab.com/niva-ai-platform. A full wiki is also available - –https://gitlab.com/niva-ai-platform/infrastructure/-/wikis/Architecture .
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 42visibility views 42 download downloads 45 Powered bymore_vert NARCIS; Research@WUR arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Report 2022 Netherlands EnglishPublisher:Zenodo Funded by:EC | NIVAEC| NIVAAuthors: Franke, G.J.; Pratihast, A.K.; Knapen, M.J.R.;Franke, G.J.; Pratihast, A.K.; Knapen, M.J.R.;As part of the NIVA project, a platform for AI powered auto review and pre-validation of geo-tagged agriculture images for IACS (Integrated Administration and Control System) will be developed. This platform will be hosted at the Walton Institute on behalf of NIVA. The platform is split into two main aspects, a general facility for image uploading and tagging, and a facility for reviewing by a human or auto-reviewing by an AI model. For the targeted initial three auto-review (AI) tasks, suitable auto-review challenges have been proposed by Paying Agencies. Including the Lithuanian challenge for which the model training and validation is described in this document. In Lithuania currently farmers are required to capture and send geotagged photos with season's growth just before harvest for Coupled support for the fruits, berries and vegetables scheme. However, this is resulting in many images being sent in and needing manual inspection for confirmation of fruits, berries and vegetables to be present in the photos. A possible pre-selection by an AI model is helpful. The initial challenge for the AI model is straight-forward, a classification task of images with evidence of fruit, berry or vegetable bearing plants. All source code is available in NIVA gitlab - –https://gitlab.com/niva-ai-platform. A full wiki is also available - –https://gitlab.com/niva-ai-platform/infrastructure/-/wikis/Architecture .
NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WURReport . Other literature type . 2022License: CC BYFull-Text: https://edepot.wur.nl/630517add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 34visibility views 34 download downloads 39 Powered bymore_vert NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WURReport . Other literature type . 2022License: CC BYFull-Text: https://edepot.wur.nl/630517add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7437159&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2021 Netherlands EnglishPublisher:European Union Funded by:EC | SmartAgriHubsEC| SmartAgriHubsSundmaeker, Harald; Bujan, Francisco; Oosterkamp, E.B.; Marcantonio, Livia; Silva, Bruno; Fox, Jason; Berkers, Frank; Beers, G.;Digital technologies enable a transformation into data-driven, intelligent, agile andautonomous farm operations, and are generally considered as a key to address thegrand challenges for agriculture. Recent initiatives showed the eagerness of thesector to seize the opportunities offered by ICT and in particular data-orientedtechnologies. However, current available applications are still fragmented andmainly used by a small group of early adopters. Against this background,SmartAgriHubs (SAH) has the potential to be a real game changer in the adoptionof digital solutions by the farming sector.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______9405::74084def46c7efc8fb19425d482c326e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2020 Netherlands EnglishPublisher:European Union Funded by:EC | SmartAgriHubsEC| SmartAgriHubsEspert, Ana; Oosterkamp, E.B.; Bujan, Francisco; Leonet, Edouard; Campos, Ana Rita; Najera, Inma;Digital technologies enable a transformation into data-driven, intelligent, agile andautonomous farm operations, and are generally considered as key to addressingthe grand challenges for agriculture. Recent initiatives have shown the eagernessof the sector to seize the opportunities offered by ICT and in particular dataoriented technologies. However, current available applications are still fragmentedand mainly used by a small group of early adopters. Against this background,SmartAgriHubs (SAH) has the potential to be a real game changer in the adoptionof digital solutions by the farming sector.
NARCIS; Research@WUR arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::a068404dd29904690b60b793736ea33a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::a068404dd29904690b60b793736ea33a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2020 Netherlands EnglishPublisher:European Union Funded by:EC | SmartAgriHubsEC| SmartAgriHubsWolfert, J.; Espert, Ana; Cabrera Sanchez, Ana Maria; Oosterkamp, E.B.; Campos, Ana Rita; Leonet, Edouard; Bujan, Francisco; Sundmaeker, Harald;Digital technologies enable a transformation into data-driven, intelligent, agile andautonomous farm operations, and are generally considered as a key to address thegrand challenges for agriculture. Recent initiatives showed the eagerness of thesector to seize the opportunities offered by ICT and in particular data-orientedtechnologies. However, current available applications are still fragmented andmainly used by a small group of early adopters. Against this background,SmartAgriHubs (SAH) has the potential to be a real game changer in the adoptionof digital solutions by the farming sector.
NARCIS; Research@WUR arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::87e2281dc0a073f1312f9eb2c0c5a218&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::87e2281dc0a073f1312f9eb2c0c5a218&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2019 Netherlands EnglishPublisher:European Union Funded by:EC | SmartAgriHubsEC| SmartAgriHubsOosterkamp, E.B.; Bruinsma, Anne; Sauter, Elke; Wolfert, J.; Sundmaeker, Harald; Campos, Ana Rita;Digital technologies enable a transformation into data-driven, intelligent, agile andautonomous farm operations, and are generally considered as a key to address thegrand challenges for agriculture. Recent initiatives showed the eagerness of thesector to seize the opportunities offered by ICT and in particular data-orientedtechnologies. However, current available applications are still fragmented andmainly used by a small group of early adopters. Against this background,SmartAgriHubs (SAH) has the potential to be a real game changer in the adoptionof digital solutions by the farming sector.
NARCIS; Research@WUR arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______9405::6dbccbfa5ba034e18b6d5b37c270dda6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______9405::6dbccbfa5ba034e18b6d5b37c270dda6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Report 2019 Netherlands EnglishPublisher:European Union Funded by:EC | SmartAgriHubsEC| SmartAgriHubsBerkers, F.T.H.M.; Weerdt, C.A. van der; Karanikolova, G.G.; Issa, A.; Tsitouras, S.; Butter, M.; Vonder, M.R.;All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::f81cc3dbe9b34df7d16cfefe98bbd3fd&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::f81cc3dbe9b34df7d16cfefe98bbd3fd&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Report 2019 Netherlands English Funded by:EC | SmartAgriHubsEC| SmartAgriHubsAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dris___00893::ff94af5b3f57be6cc4178e4657d09e7e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dris___00893::ff94af5b3f57be6cc4178e4657d09e7e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Report , Preprint 2018 France, Italy, Netherlands, Italy, United Kingdom, United Kingdom, United Kingdom, Spain, Italy, Italy, Germany, Italy, Italy, Italy, Netherlands, Spain, Italy, Netherlands, United Kingdom, Switzerland, Italy, United States, Russian Federation, Netherlands, Italy, Netherlands, United Kingdom, Italy, Germany, ItalyPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:NWO | Non-invasive deep brain s...NWO| Non-invasive deep brain stimulation with ultrasoundAaij, R.; Beteta, C. Abellan; Adeva, B.; Adinolfi, M.; Aidala, C. A.; Ajaltouni, Z.; Akar, S.; Albicocco, P.; Albrecht, J.; Alessio, F.; Alexander, M.; Alfonso Albero, A.; Alkhazov, G.; Cartelle, P. Alvarez; Alves A. A.; Jr.; Amato, S.; Amerio, S.; Amhis, Y.; An, L.; Anderlini, L.; Andreassi, G.; Andreotti, M.; Andrews, J. E.; Appleby, R. B.; Archilli, F.; d'Argent, P.; Romeu, J. Arnau; Artamonov, A.; Artuso, M.; Arzymatov, K.; Aslanides, E.; Atzeni, M.; Audurier, B.; Bachmann, S.; Back, J. J.; Baker, S.; Balagura, V.; Baldini, W.; Baranov, A.; Barlow, R. J.; Barsuk, S.; Barter, W.; Baryshnikov, F.; Batozskaya, V.; Batsukh, B.; Battista, V.; Bay, A.; Beddow, J.; Bedeschi, F.; Bediaga, I.; Beiter, A.; Bel, L. J.; Belin, S.; Beliy, N.; Bellee, V.; Belloli, N.; Belous, K.; Belyaev, I.; Ben-Haim, E.; Bencivenni, G.; Benson, S.; Beranek, S.; Berezhnoy, A.; Bernet, R.; Berninghoff, D.; Bertholet, E.; Bertolin, A.; Betancourt, C.; Betti, F.; Bettler, M. O.; van Beuzekom, M.; Bezshyiko, Ia.; Bhasin, S.; Bhom, J.; Bifani, S.; Billoir, P.; Birnkraut, A.; Bizzeti, A.; Bjorn, M.; Blago, M. P.; Blake, T.; Blanc, F.; Blusk, S.; Bobulska, D.; Bocci, V.; Boente Garcia, O.; Boettcher, T.; Bondar, A.; Bondar, N.; Borghi, S.; Borisyak, M.; Borsato, M.; Bossu, F.; Boubdir, M.; Bowcock, T. J. V.; Bozzi, C.; Braun, S.; Brodski, M.; Brodzicka, J.; Gonzalo, A. Brossa; Brundu, D.; Buchanan, E.; Buonaura, A.; Burr, C.; Bursche, A.; Buytaert, J.; Byczynski, W.; Cadeddu, S.; Cai, H.; Calabrese, R.; Calladine, R.; Calvi, M.; Calvo Gomez, M.; Camboni, A.; Campana, P.; Perez, D. H. Campora; Capriotti, L.; Carbone, A.; Carboni, G.; Cardinale, R.; Cardini, A.; Carniti, P.; Carson, L.; Carvalho Akiba, K.; Casse, G.; Cassina, L.; Cattaneo, M.; Cavallero, G.; Cenci, R.; Chamont, D.; Chapman, M. G.; Charles, M.; Charpentier, Ph.; Chatzikonstantinidis, G.; Chefdeville, M.; Chekalina, V.; Chen, C.; Chen, S.; Chitic, S. -G.; Chobanova, V.; Chrzaszcz, M.; Chubykin, A.; Ciambrone, P.; Cid Vidal, X.; Ciezarek, G.; Clarke, P. E. L.; Clemencic, M.; Cliff, H. V.; Closier, J.; Coco, V.; Coelho, J. A. B.; Cogan, J.; Cogneras, E.; Cojocariu, L.; Collins, P.; Colombo, T.; Comerma-Montells, A.; Contu, A.; Coombs, G.; Coquereau, S.; Corti, G.; Corvo, M.; Sobral, C. M. Costa; Couturier, B.; Cowan, G. A.; Craik, D. C.; Crocombe, A.; Cruz Torres, M.; Currie, R.; D'Ambrosio, C.; Da Cunha Marinho, F.; Da Silva, C. L.; Dall'Occo, E.; Dalseno, J.; Danilina, A.; Davis, A.; Francisco, O. De Aguiar; De Bruyn, K.; De Capua, S.; De Cian, M.; De Miranda, J. M.; De Paula, L.; De Serio, M.; De Simone, P.; Dean, C. T.; Decamp, D.; Del Buono, L.; Delaney, B.; Dembinski, H. -P.; Demmer, M.; Dendek, A.; Derkach, D.; Deschamps, O.; Desse, F.; Dettori, F.; Dey, B.; Di Canto, A.; Di Nezza, P.; Didenko, S.; Eklund, L.; Fazzini, D.; Fiorini, M.; Fu, J.; Gotti, C.; Khurewathanakul, C.; Luppi, E.; Lusiani, A.; Marangotto, D.; Martinelli, M.; Merli, A.; Morello, M. J.; Neri, N.; Pajero, T.; Pappalardo, L. L.; Petruzzo, M.; Santovetti, E.; Sarti, A.; Schiller, M.; Sciubba, A.; Soler, F. J. P.; Tomassetti, L.;doi: 10.1140/epjc/s10052-018-6386-8 , 10.18154/rwth-2019-00233 , 10.3204/pubdb-2019-00738 , 10.17863/cam.46894 , 10.48550/arxiv.1808.07135
handle: 10347/22299 , 11370/cd7355f6-22dc-40de-91fa-504e0aea3eaf , 1871.1/e688a9df-4fe6-48bd-bb98-3c52cb43142c , 11380/1209789 , 11392/2397128 , 11577/3291460 , 2445/185376 , 11573/1310249 , 11384/78310 , 20.500.11820/059606c1-a4ae-40fc-a7e0-521292371f82 , 11568/955792 , 2434/661031 , 11576/2666851 , 21.11116/0000-0005-73D3-B , 21.11116/0000-0005-73D5-9
pmc: PMC6383911
pmid: 30872958
doi: 10.1140/epjc/s10052-018-6386-8 , 10.18154/rwth-2019-00233 , 10.3204/pubdb-2019-00738 , 10.17863/cam.46894 , 10.48550/arxiv.1808.07135
handle: 10347/22299 , 11370/cd7355f6-22dc-40de-91fa-504e0aea3eaf , 1871.1/e688a9df-4fe6-48bd-bb98-3c52cb43142c , 11380/1209789 , 11392/2397128 , 11577/3291460 , 2445/185376 , 11573/1310249 , 11384/78310 , 20.500.11820/059606c1-a4ae-40fc-a7e0-521292371f82 , 11568/955792 , 2434/661031 , 11576/2666851 , 21.11116/0000-0005-73D3-B , 21.11116/0000-0005-73D5-9
pmc: PMC6383911
pmid: 30872958
A search is presented for a Higgs-like boson with mass in the range 45 to 195 $\,{{\mathrm {GeV/}}c^2}$ decaying into a muon and a tau lepton. The dataset consists of proton-proton interactions at a centre-of-mass energy of 8 $~{\mathrm {TeV}}$ , collected by the LHCb experiment, corresponding to an integrated luminosity of 2 $\,\text{ fb }^{-1}$ . The tau leptons are reconstructed in both leptonic and hadronic decay channels. An upper limit on the production cross-section multiplied by the branching fraction at 95% confidence level is set and ranges from 22 $\,{\mathrm {pb}}$ for a boson mass of 45 $\,{{\mathrm {GeV/}}c^2}$ to 4 $\,{\mathrm {pb}}$ for a mass of 195 $\,{{\mathrm {GeV/}}c^2}$ . The European physical journal / C 78(12), 1008 (2018). doi:10.1140/epjc/s10052-018-6386-8 Published by Springer, Heidelberg
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6383911Data sources: PubMed CentralArchivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaNARCISArticle . 2018Full-Text: https://pure.rug.nl/ws/files/73753028/Aaij2018_Article_SearchForLepton_flavour_violat.pdfData sources: NARCISElectronic archive of Tomsk Polytechnic UniversityArticle . 2018Data sources: Electronic archive of Tomsk Polytechnic UniversityInfoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationsSpiral - Imperial College Digital RepositoryArticle . 2018Data sources: Spiral - Imperial College Digital RepositoryDiposit Digital de la Universitat de Barcelona; Recolector de Ciencia Abierta, RECOLECTAArticle . 2018License: CC BYMinerva. Repositorio Institucional da Universidade de Santiago de CompostelaArticle . 2018License: CC BYPublikationsserver der RWTH Aachen UniversityArticle . 2018Data sources: Publikationsserver der RWTH Aachen UniversityArchivio della ricerca- Università di Roma La SapienzaArticle . 2018Data sources: Archivio della ricerca- Università di Roma La SapienzaRecolector de Ciencia Abierta, RECOLECTAArticle . 2018Data sources: Recolector de Ciencia Abierta, RECOLECTAArchivio istituzionale della ricerca - Università di Padova; Oxford University Research Archive; The University of Manchester - Institutional Repository; European Physical Journal C: Particles and Fields; Archivio della Ricerca - Università di Roma Tor vergata; Archivio istituzionale della Ricerca - Scuola Normale Superiore; IRIS UNIMORE - Archivio istituzionale della ricerca - Università di Modena e Reggio EmiliaOther literature type . Article . 2018 . 2019 . Peer-reviewedLicense: CC BYData sources: Archivio istituzionale della ricerca - Università di Padova; University of Groningen Research Portal; Oxford University Research Archive; Vrije Universiteit Amsterdam (VU Amsterdam) - Institutional Repository; Crossref; The University of Manchester - Institutional Repository; Archivio della Ricerca - Università di Roma Tor vergata; NARCIS; Archivio istituzionale della Ricerca - Scuola Normale Superiore; IRIS UNIMORE - Archivio istituzionale della ricerca - Università di Modena e Reggio EmiliaArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018Archivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di Pisaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 7 citations 7 popularity Average influence Average impulse Top 10% Powered by BIP!visibility 62visibility views 62 download downloads 31 Powered bymore_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6383911Data sources: PubMed CentralArchivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaNARCISArticle . 2018Full-Text: https://pure.rug.nl/ws/files/73753028/Aaij2018_Article_SearchForLepton_flavour_violat.pdfData sources: NARCISElectronic archive of Tomsk Polytechnic UniversityArticle . 2018Data sources: Electronic archive of Tomsk Polytechnic UniversityInfoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationsSpiral - Imperial College Digital RepositoryArticle . 2018Data sources: Spiral - Imperial College Digital RepositoryDiposit Digital de la Universitat de Barcelona; Recolector de Ciencia Abierta, RECOLECTAArticle . 2018License: CC BYMinerva. Repositorio Institucional da Universidade de Santiago de CompostelaArticle . 2018License: CC BYPublikationsserver der RWTH Aachen UniversityArticle . 2018Data sources: Publikationsserver der RWTH Aachen UniversityArchivio della ricerca- Università di Roma La SapienzaArticle . 2018Data sources: Archivio della ricerca- Università di Roma La SapienzaRecolector de Ciencia Abierta, RECOLECTAArticle . 2018Data sources: Recolector de Ciencia Abierta, RECOLECTAArchivio istituzionale della ricerca - Università di Padova; Oxford University Research Archive; The University of Manchester - Institutional Repository; European Physical Journal C: Particles and Fields; Archivio della Ricerca - Università di Roma Tor vergata; Archivio istituzionale della Ricerca - Scuola Normale Superiore; IRIS UNIMORE - Archivio istituzionale della ricerca - Università di Modena e Reggio EmiliaOther literature type . Article . 2018 . 2019 . Peer-reviewedLicense: CC BYData sources: Archivio istituzionale della ricerca - Università di Padova; University of Groningen Research Portal; Oxford University Research Archive; Vrije Universiteit Amsterdam (VU Amsterdam) - Institutional Repository; Crossref; The University of Manchester - Institutional Repository; Archivio della Ricerca - Università di Roma Tor vergata; NARCIS; Archivio istituzionale della Ricerca - Scuola Normale Superiore; IRIS UNIMORE - Archivio istituzionale della ricerca - Università di Modena e Reggio EmiliaArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018Archivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di Pisaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint , Report 2018 Italy, Netherlands, Italy, Italy, Netherlands, Switzerland, United Kingdom, United States, France, Italy, Netherlands, Italy, Italy, Germany, Germany, Italy, Italy, Italy, Italy, United Kingdom, United Kingdom, Italy, Spain, Netherlands, Italy, NetherlandsPublisher:American Physical Society (APS) Publicly fundedRoel Aaij; Federico Alessio; Michael Alexander; A. Alfonso Albero; Liupan An; Guido Andreassi; M. Andreotti; Robert Appleby; Marina Artuso; M. Atzeni; Marouen Baalouch; Igor Babuschkin; Alexey Badalov; Sergey Barsuk; William Barter; L. J. Bel; K. Belous; Ivan Belyaev; Alexander Berezhnoy; Alessandro Bertolin; M. Bjørn; Alexander Bondar; Silvia Borghi; Maxim Borisyak; Martino Borsato; Francesco Bossu; Themistocles Bowcock; Svende Braun; Jolanta Brodzicka; E. Buchanan; Christopher Burr; Albert Bursche; S. Cadeddu; Hao Cai; R. Calabrese; Marta Calvi; Lorenzo Capriotti; Giovanni Carboni; Roberta Cardinale; Alessandro Cardini; Gianluigi Casse; David Chamont; M. G. Chapman; Sai-Juan Chen; Stefan-Gabriel Chitic; Veronika Chobanova; Marcin Chrzaszcz; Paolo Ciambrone; Marco Clemencic; Harry Cliff; Joel Closier; Victor Coco; Andrea Contu; S. Coquereau; Gloria Corti; C. M. Costa Sobral; G. A. Cowan; M. Cruz Torres; Robert Currie; J. Dalseno; C. T. Dean; D. Decamp; Olivier Deschamps; Biplab Dey; Hans Dijkstra; Francesca Dordei; Anatoliy Dovbnya; Karlis Dreimanis; John Matthew Durham; Deepanwita Dutta; Michal Dziewiecki; Agnieszka Dziurda; A. Dzyuba; M. Ebert; Ulrik Egede; Stephan Eisenhardt; Robert Ekelhof; Lars Eklund; Timothy Evans; Antonio Falabella; S. Farry; F. Ferreira Rodrigues; Rosa Anna Fini; Miroslaw Firlej; Conor Fitzpatrick; Tomasz Fiutowski; Roger Forty; V. Franco Lima; Markus Frank; E. Furfaro; Emmy Gabriel; Domenico Galli; Paolo Gandini; Lluis Garrido; Marco Gersabeck; Timothy Gershon; V. Gibson; Konstantin Gizdov; Vladimir Gligorov; I. V. Gorelov; Claudio Gotti; L. A. Granado Cardoso; Giacomo Graziani; Alexandru Grecu; P. Griffith; Lukas Gruber; Oliver Grünberg; Evgeny Gushchin; Thomas Hadavizadeh; Mark Hatch; Wenhua Hu; Mikhail Hushchyn; David Hutchcroft; Marek Idzik; Philip Ilten; Daniel Johnson; C. Joram; Sergii Kandybei; James Mwangi Kariuki; N. Kazeev; M. Kecke; E. Khairullin; C. Khurewathanakul; S. Klaver; Serhii Koliiev; Renata Kopecna; Patrick Koppenburg; Alena Kosmyntseva; Sofia Kotriakhova; M. Kreps; Felix Johannes Kress; Pavel Krokovny; W. Krzemien; Daniel Lacarrere; George Lafferty; A. Lai; Christoph Langenbruch; Thomas Latham; Cristina Lazzeroni; J. Lefrançois; F. Lemaitre; Olivier Leroy; B. Leverington; Pei-Rong Li; Y. Li; Xixin Liang; Vitalii Lisovskyi; Xuesong Liu; Angelo Loi; Jose Lopes; D. Lucchesi; Eleonora Luppi; Vladimir Macko; Patrick Mackowiak; Samuel Maddrell-Mander; Dmitrii Maisuzenko; Bartosz Malecki; Timofei Maltsev; Giampiero Mancinelli; C. Marin Benito; M. Martinelli; Z. Mathe; C. Matteuzzi; Emilie Maurice; James Vincent Mead; Nis Meinert; Andrea Merli; Luca Minzoni; J. Molina Rodriguez; Jakub Moron; Mick Mulder; Dominik Müller; K. Müller; R. Nandakumar; Irina Nasteva; Matthew Needham; C. Nguyen-Mau; Nikolay Nikitin; D. P. O’Hanlon; Agnieszka Oblakowska-Mucha; R. Oldeman; Matteo Palutan; M. Pappagallo; L. L. Pappalardo; G. Passaleva; Alessandra Pastore; A. Pellegrino; G. Penso; S. Perazzini; L. Pescatore; Konstantinos Petridis; Alessandro Petrolini; M. Petruzzo; Davide Pinci; Flavio Pisani; A. Piucci; Vlad-Mihai Placinta; Anton Poluektov; Jessica Prisciandaro; Hannah Louise Pullen; Jia-Jia Qin; Bartlomiej Rachwal; Matteo Rama; Fedor Ratnikov; G. Raven; M. Ravonel Salzgeber; Meril Reboud; F. Redi; V. Renaudin; A. B. Rodrigues; Eduardo Rodrigues; Stefan Roiser; A. Romero Vidal; Marcello Rotondo; Elnur Sadykhov; Biagio Saitta; C. Sanchez Mayordomo; Emanuele Santovetti; Gediminas Sarpis; Alessio Sarti; Alessia Satta; Daniel Martin Saunders; S. Schael; Manuel Schiller; Michael Schmelling; M. Schubiger; Alexander Semennikov; Antonino Sergi; Nicola Serra; Paul Seyfert; M. Shapkin; Yury Shcheglov; Tara Shears; Lev Shekhtman; Saverio Simone; Mark Smith; F. J. P. Soler; B. Spaan; Srikanth Sridharan; Federico Stagni; M. Stahl; S. Stefkova; Simon Stemmle; O. Stenyakin; Holger Stevens; Sheldon Stone; Barbara Storaci; Maria Elena Stramaglia; Tomasz Szumlak; Maciej Pawel Szymanski; A. Tayduganov; Matthew James Tilley; S. Tolk; L. Tomassetti; R. Tourinho Jadallah Aoude; Andrei Tsaregorodtsev; Niels Tuning; Artur Ukleja; Andrii Usachov; Andrey Ustyuzhanin; Claudia Vacca; Giovanni Valenti; Stefania Vecchi; Jaap Velthuis; M. Veltri; G. Veneziano; Aravindhan Venkateswaran; Maxime Vernet; V. Volkov; A. Vollhardt; Alexey Vorobyev; Christian Voß; Roland Waldi; Heather Mckenzie Wark; Nigel Watson; David Websdale; A. Weiden; M. Wilkinson; Fergus Wilson; M. Winn; W. Wislicki; Mariusz Witek; G. Wormser; S. A. Wotton; Menglin Xu; Z. Yang; Lei Zhang; Y. Zhang; Y. Zheng; S. Zucchelli;doi: 10.1103/physrevd.97.032010 , 10.18154/rwth-2018-222835 , 10.3204/pubdb-2019-00350 , 10.48550/arxiv.1712.08086
handle: 21.11116/0000-0005-7AA8-5 , 21.11116/0000-0005-7AAA-3 , 11576/2665217 , 11573/1310955 , 1983/5288b9ea-3fd0-4a87-bb39-1d41bbc3dfbd , 11370/8d961e88-680c-4fa6-b012-a9bac7d9e5c0 , 11568/1221917 , 2445/185438 , 1871.1/50eac4e3-a3aa-46d1-b0d0-17a8b9c8fcd9 , 11384/73853 , 11392/2397050 , 2434/622306 , 11567/951888 , 11380/1209774
doi: 10.1103/physrevd.97.032010 , 10.18154/rwth-2018-222835 , 10.3204/pubdb-2019-00350 , 10.48550/arxiv.1712.08086
handle: 21.11116/0000-0005-7AA8-5 , 21.11116/0000-0005-7AAA-3 , 11576/2665217 , 11573/1310955 , 1983/5288b9ea-3fd0-4a87-bb39-1d41bbc3dfbd , 11370/8d961e88-680c-4fa6-b012-a9bac7d9e5c0 , 11568/1221917 , 2445/185438 , 1871.1/50eac4e3-a3aa-46d1-b0d0-17a8b9c8fcd9 , 11384/73853 , 11392/2397050 , 2434/622306 , 11567/951888 , 11380/1209774
Investigations of the existence of pentaquark states containing a single $b$ (anti)quark decaying weakly into four specific final states $J/ψK^+ π^- p, J/ψK^- π^- p, J/ψK^- π^+ p$, and J/ψϕ(1020)p are reported. The data sample corresponds to an integrated luminosity of 3.0 fb$^{-1}$ in 7 and 8 TeV pp collisions acquired with the LHCb detector. Signals are not observed and upper limits are set on the product of the production cross section times branching fraction with respect to that of the $Λ_b^0$. Physical review / D 97(3), 032010 (2018). doi:10.1103/PhysRevD.97.032010 Published by APS, Woodbury, NY
CORE (RIOXX-UK Aggre... arrow_drop_down NARCIS; Physical Review DArticle . 2018Archivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaThe University of Manchester - Institutional RepositoryArticle . 2018Data sources: The University of Manchester - Institutional RepositoryArchivio della ricerca- Università di Roma La SapienzaArticle . 2018Data sources: Archivio della ricerca- Università di Roma La SapienzaInfoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationsNARCISArticle . 2018https://doi.org/10.1103/physre...Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2018Data sources: Spiral - Imperial College Digital RepositoryArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 7 citations 7 popularity Average influence Average impulse Top 10% Powered by BIP!visibility 84visibility views 84 download downloads 26 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down NARCIS; Physical Review DArticle . 2018Archivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaThe University of Manchester - Institutional RepositoryArticle . 2018Data sources: The University of Manchester - Institutional RepositoryArchivio della ricerca- Università di Roma La SapienzaArticle . 2018Data sources: Archivio della ricerca- Università di Roma La SapienzaInfoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationsNARCISArticle . 2018https://doi.org/10.1103/physre...Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2018Data sources: Spiral - Imperial College Digital RepositoryArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Report 2022 Netherlands EnglishPublisher:Zenodo Funded by:EC | NIVAEC| NIVAAuthors: Franke, G.J.; Pratihast, A.K.; Knapen, M.J.R.;Franke, G.J.; Pratihast, A.K.; Knapen, M.J.R.;As part of the NIVA project, a platform for AI powered auto review and pre-validation of geo-tagged agriculture images for IACS (Integrated Administration and Control System) will be developed. This platform will be hosted at the Walton Institute on behalf of NIVA. The platform is split into two main aspects, a general facility for image uploading and tagging, and a facility for reviewing by a human or auto-reviewing by an AI model. For the targeted initial three auto-review (AI) tasks, suitable auto-review challenges have been proposed by Paying Agencies. Including the Danish challenge for which the model training and validation is described in this document. In Denmark it is already possible for farmers to use images from a geo-tagged app as prove the activity demand on livestock grazing on grasslands. However, this is resulting in many images being sent in and needing manual inspection for approval. A possible pre-selection by an AI model is helpful. The initial challenge for the AI model is straight-forward, a classification task of approval or non-approval of the grazing activity. Such a model might be relevant for other countries in Europe, especially those with a high percentage of grasslands. All source code is available in NIVA gitlab - –https://gitlab.com/niva-ai-platform. A full wiki is also available - –https://gitlab.com/niva-ai-platform/infrastructure/-/wikis/Architecture .
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 42visibility views 42 download downloads 45 Powered bymore_vert NARCIS; Research@WUR arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Report 2022 Netherlands EnglishPublisher:Zenodo Funded by:EC | NIVAEC| NIVAAuthors: Franke, G.J.; Pratihast, A.K.; Knapen, M.J.R.;Franke, G.J.; Pratihast, A.K.; Knapen, M.J.R.;As part of the NIVA project, a platform for AI powered auto review and pre-validation of geo-tagged agriculture images for IACS (Integrated Administration and Control System) will be developed. This platform will be hosted at the Walton Institute on behalf of NIVA. The platform is split into two main aspects, a general facility for image uploading and tagging, and a facility for reviewing by a human or auto-reviewing by an AI model. For the targeted initial three auto-review (AI) tasks, suitable auto-review challenges have been proposed by Paying Agencies. Including the Lithuanian challenge for which the model training and validation is described in this document. In Lithuania currently farmers are required to capture and send geotagged photos with season's growth just before harvest for Coupled support for the fruits, berries and vegetables scheme. However, this is resulting in many images being sent in and needing manual inspection for confirmation of fruits, berries and vegetables to be present in the photos. A possible pre-selection by an AI model is helpful. The initial challenge for the AI model is straight-forward, a classification task of images with evidence of fruit, berry or vegetable bearing plants. All source code is available in NIVA gitlab - –https://gitlab.com/niva-ai-platform. A full wiki is also available - –https://gitlab.com/niva-ai-platform/infrastructure/-/wikis/Architecture .
NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WURReport . Other literature type . 2022License: CC BYFull-Text: https://edepot.wur.nl/630517add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 34visibility views 34 download downloads 39 Powered bymore_vert NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WURReport . Other literature type . 2022License: CC BYFull-Text: https://edepot.wur.nl/630517add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publication2021 Netherlands EnglishPublisher:European Union Funded by:EC | SmartAgriHubsEC| SmartAgriHubsSundmaeker, Harald; Bujan, Francisco; Oosterkamp, E.B.; Marcantonio, Livia; Silva, Bruno; Fox, Jason; Berkers, Frank; Beers, G.;Digital technologies enable a transformation into data-driven, intelligent, agile andautonomous farm operations, and are generally considered as a key to address thegrand challenges for agriculture. Recent initiatives showed the eagerness of thesector to seize the opportunities offered by ICT and in particular data-orientedtechnologies. However, current available applications are still fragmented andmainly used by a small group of early adopters. Against this background,SmartAgriHubs (SAH) has the potential to be a real game changer in the adoptionof digital solutions by the farming sector.
NARCIS; Research@WUR arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______9405::74084def46c7efc8fb19425d482c326e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______9405::74084def46c7efc8fb19425d482c326e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2020 Netherlands EnglishPublisher:European Union Funded by:EC | SmartAgriHubsEC| SmartAgriHubsEspert, Ana; Oosterkamp, E.B.; Bujan, Francisco; Leonet, Edouard; Campos, Ana Rita; Najera, Inma;Digital technologies enable a transformation into data-driven, intelligent, agile andautonomous farm operations, and are generally considered as key to addressingthe grand challenges for agriculture. Recent initiatives have shown the eagernessof the sector to seize the opportunities offered by ICT and in particular dataoriented technologies. However, current available applications are still fragmentedand mainly used by a small group of early adopters. Against this background,SmartAgriHubs (SAH) has the potential to be a real game changer in the adoptionof digital solutions by the farming sector.
NARCIS; Research@WUR arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::a068404dd29904690b60b793736ea33a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::a068404dd29904690b60b793736ea33a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2020 Netherlands EnglishPublisher:European Union Funded by:EC | SmartAgriHubsEC| SmartAgriHubsWolfert, J.; Espert, Ana; Cabrera Sanchez, Ana Maria; Oosterkamp, E.B.; Campos, Ana Rita; Leonet, Edouard; Bujan, Francisco; Sundmaeker, Harald;Digital technologies enable a transformation into data-driven, intelligent, agile andautonomous farm operations, and are generally considered as a key to address thegrand challenges for agriculture. Recent initiatives showed the eagerness of thesector to seize the opportunities offered by ICT and in particular data-orientedtechnologies. However, current available applications are still fragmented andmainly used by a small group of early adopters. Against this background,SmartAgriHubs (SAH) has the potential to be a real game changer in the adoptionof digital solutions by the farming sector.
NARCIS; Research@WUR arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::87e2281dc0a073f1312f9eb2c0c5a218&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::87e2281dc0a073f1312f9eb2c0c5a218&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2019 Netherlands EnglishPublisher:European Union Funded by:EC | SmartAgriHubsEC| SmartAgriHubsOosterkamp, E.B.; Bruinsma, Anne; Sauter, Elke; Wolfert, J.; Sundmaeker, Harald; Campos, Ana Rita;Digital technologies enable a transformation into data-driven, intelligent, agile andautonomous farm operations, and are generally considered as a key to address thegrand challenges for agriculture. Recent initiatives showed the eagerness of thesector to seize the opportunities offered by ICT and in particular data-orientedtechnologies. However, current available applications are still fragmented andmainly used by a small group of early adopters. Against this background,SmartAgriHubs (SAH) has the potential to be a real game changer in the adoptionof digital solutions by the farming sector.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Report 2019 Netherlands EnglishPublisher:European Union Funded by:EC | SmartAgriHubsEC| SmartAgriHubsBerkers, F.T.H.M.; Weerdt, C.A. van der; Karanikolova, G.G.; Issa, A.; Tsitouras, S.; Butter, M.; Vonder, M.R.;All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::f81cc3dbe9b34df7d16cfefe98bbd3fd&type=result"></script>'); --> </script>
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Report , Preprint 2018 France, Italy, Netherlands, Italy, United Kingdom, United Kingdom, United Kingdom, Spain, Italy, Italy, Germany, Italy, Italy, Italy, Netherlands, Spain, Italy, Netherlands, United Kingdom, Switzerland, Italy, United States, Russian Federation, Netherlands, Italy, Netherlands, United Kingdom, Italy, Germany, ItalyPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:NWO | Non-invasive deep brain s...NWO| Non-invasive deep brain stimulation with ultrasoundAaij, R.; Beteta, C. Abellan; Adeva, B.; Adinolfi, M.; Aidala, C. A.; Ajaltouni, Z.; Akar, S.; Albicocco, P.; Albrecht, J.; Alessio, F.; Alexander, M.; Alfonso Albero, A.; Alkhazov, G.; Cartelle, P. Alvarez; Alves A. A.; Jr.; Amato, S.; Amerio, S.; Amhis, Y.; An, L.; Anderlini, L.; Andreassi, G.; Andreotti, M.; Andrews, J. E.; Appleby, R. B.; Archilli, F.; d'Argent, P.; Romeu, J. Arnau; Artamonov, A.; Artuso, M.; Arzymatov, K.; Aslanides, E.; Atzeni, M.; Audurier, B.; Bachmann, S.; Back, J. J.; Baker, S.; Balagura, V.; Baldini, W.; Baranov, A.; Barlow, R. J.; Barsuk, S.; Barter, W.; Baryshnikov, F.; Batozskaya, V.; Batsukh, B.; Battista, V.; Bay, A.; Beddow, J.; Bedeschi, F.; Bediaga, I.; Beiter, A.; Bel, L. J.; Belin, S.; Beliy, N.; Bellee, V.; Belloli, N.; Belous, K.; Belyaev, I.; Ben-Haim, E.; Bencivenni, G.; Benson, S.; Beranek, S.; Berezhnoy, A.; Bernet, R.; Berninghoff, D.; Bertholet, E.; Bertolin, A.; Betancourt, C.; Betti, F.; Bettler, M. O.; van Beuzekom, M.; Bezshyiko, Ia.; Bhasin, S.; Bhom, J.; Bifani, S.; Billoir, P.; Birnkraut, A.; Bizzeti, A.; Bjorn, M.; Blago, M. P.; Blake, T.; Blanc, F.; Blusk, S.; Bobulska, D.; Bocci, V.; Boente Garcia, O.; Boettcher, T.; Bondar, A.; Bondar, N.; Borghi, S.; Borisyak, M.; Borsato, M.; Bossu, F.; Boubdir, M.; Bowcock, T. J. V.; Bozzi, C.; Braun, S.; Brodski, M.; Brodzicka, J.; Gonzalo, A. Brossa; Brundu, D.; Buchanan, E.; Buonaura, A.; Burr, C.; Bursche, A.; Buytaert, J.; Byczynski, W.; Cadeddu, S.; Cai, H.; Calabrese, R.; Calladine, R.; Calvi, M.; Calvo Gomez, M.; Camboni, A.; Campana, P.; Perez, D. H. Campora; Capriotti, L.; Carbone, A.; Carboni, G.; Cardinale, R.; Cardini, A.; Carniti, P.; Carson, L.; Carvalho Akiba, K.; Casse, G.; Cassina, L.; Cattaneo, M.; Cavallero, G.; Cenci, R.; Chamont, D.; Chapman, M. G.; Charles, M.; Charpentier, Ph.; Chatzikonstantinidis, G.; Chefdeville, M.; Chekalina, V.; Chen, C.; Chen, S.; Chitic, S. -G.; Chobanova, V.; Chrzaszcz, M.; Chubykin, A.; Ciambrone, P.; Cid Vidal, X.; Ciezarek, G.; Clarke, P. E. L.; Clemencic, M.; Cliff, H. V.; Closier, J.; Coco, V.; Coelho, J. A. B.; Cogan, J.; Cogneras, E.; Cojocariu, L.; Collins, P.; Colombo, T.; Comerma-Montells, A.; Contu, A.; Coombs, G.; Coquereau, S.; Corti, G.; Corvo, M.; Sobral, C. M. Costa; Couturier, B.; Cowan, G. A.; Craik, D. C.; Crocombe, A.; Cruz Torres, M.; Currie, R.; D'Ambrosio, C.; Da Cunha Marinho, F.; Da Silva, C. L.; Dall'Occo, E.; Dalseno, J.; Danilina, A.; Davis, A.; Francisco, O. De Aguiar; De Bruyn, K.; De Capua, S.; De Cian, M.; De Miranda, J. M.; De Paula, L.; De Serio, M.; De Simone, P.; Dean, C. T.; Decamp, D.; Del Buono, L.; Delaney, B.; Dembinski, H. -P.; Demmer, M.; Dendek, A.; Derkach, D.; Deschamps, O.; Desse, F.; Dettori, F.; Dey, B.; Di Canto, A.; Di Nezza, P.; Didenko, S.; Eklund, L.; Fazzini, D.; Fiorini, M.; Fu, J.; Gotti, C.; Khurewathanakul, C.; Luppi, E.; Lusiani, A.; Marangotto, D.; Martinelli, M.; Merli, A.; Morello, M. J.; Neri, N.; Pajero, T.; Pappalardo, L. L.; Petruzzo, M.; Santovetti, E.; Sarti, A.; Schiller, M.; Sciubba, A.; Soler, F. J. P.; Tomassetti, L.;doi: 10.1140/epjc/s10052-018-6386-8 , 10.18154/rwth-2019-00233 , 10.3204/pubdb-2019-00738 , 10.17863/cam.46894 , 10.48550/arxiv.1808.07135
handle: 10347/22299 , 11370/cd7355f6-22dc-40de-91fa-504e0aea3eaf , 1871.1/e688a9df-4fe6-48bd-bb98-3c52cb43142c , 11380/1209789 , 11392/2397128 , 11577/3291460 , 2445/185376 , 11573/1310249 , 11384/78310 , 20.500.11820/059606c1-a4ae-40fc-a7e0-521292371f82 , 11568/955792 , 2434/661031 , 11576/2666851 , 21.11116/0000-0005-73D3-B , 21.11116/0000-0005-73D5-9
pmc: PMC6383911
pmid: 30872958
doi: 10.1140/epjc/s10052-018-6386-8 , 10.18154/rwth-2019-00233 , 10.3204/pubdb-2019-00738 , 10.17863/cam.46894 , 10.48550/arxiv.1808.07135
handle: 10347/22299 , 11370/cd7355f6-22dc-40de-91fa-504e0aea3eaf , 1871.1/e688a9df-4fe6-48bd-bb98-3c52cb43142c , 11380/1209789 , 11392/2397128 , 11577/3291460 , 2445/185376 , 11573/1310249 , 11384/78310 , 20.500.11820/059606c1-a4ae-40fc-a7e0-521292371f82 , 11568/955792 , 2434/661031 , 11576/2666851 , 21.11116/0000-0005-73D3-B , 21.11116/0000-0005-73D5-9
pmc: PMC6383911
pmid: 30872958
A search is presented for a Higgs-like boson with mass in the range 45 to 195 $\,{{\mathrm {GeV/}}c^2}$ decaying into a muon and a tau lepton. The dataset consists of proton-proton interactions at a centre-of-mass energy of 8 $~{\mathrm {TeV}}$ , collected by the LHCb experiment, corresponding to an integrated luminosity of 2 $\,\text{ fb }^{-1}$ . The tau leptons are reconstructed in both leptonic and hadronic decay channels. An upper limit on the production cross-section multiplied by the branching fraction at 95% confidence level is set and ranges from 22 $\,{\mathrm {pb}}$ for a boson mass of 45 $\,{{\mathrm {GeV/}}c^2}$ to 4 $\,{\mathrm {pb}}$ for a mass of 195 $\,{{\mathrm {GeV/}}c^2}$ . The European physical journal / C 78(12), 1008 (2018). doi:10.1140/epjc/s10052-018-6386-8 Published by Springer, Heidelberg
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6383911Data sources: PubMed CentralArchivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaNARCISArticle . 2018Full-Text: https://pure.rug.nl/ws/files/73753028/Aaij2018_Article_SearchForLepton_flavour_violat.pdfData sources: NARCISElectronic archive of Tomsk Polytechnic UniversityArticle . 2018Data sources: Electronic archive of Tomsk Polytechnic UniversityInfoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationsSpiral - Imperial College Digital RepositoryArticle . 2018Data sources: Spiral - Imperial College Digital RepositoryDiposit Digital de la Universitat de Barcelona; Recolector de Ciencia Abierta, RECOLECTAArticle . 2018License: CC BYMinerva. Repositorio Institucional da Universidade de Santiago de CompostelaArticle . 2018License: CC BYPublikationsserver der RWTH Aachen UniversityArticle . 2018Data sources: Publikationsserver der RWTH Aachen UniversityArchivio della ricerca- Università di Roma La SapienzaArticle . 2018Data sources: Archivio della ricerca- Università di Roma La SapienzaRecolector de Ciencia Abierta, RECOLECTAArticle . 2018Data sources: Recolector de Ciencia Abierta, RECOLECTAArchivio istituzionale della ricerca - Università di Padova; Oxford University Research Archive; The University of Manchester - Institutional Repository; European Physical Journal C: Particles and Fields; Archivio della Ricerca - Università di Roma Tor vergata; Archivio istituzionale della Ricerca - Scuola Normale Superiore; IRIS UNIMORE - Archivio istituzionale della ricerca - Università di Modena e Reggio EmiliaOther literature type . Article . 2018 . 2019 . Peer-reviewedLicense: CC BYData sources: Archivio istituzionale della ricerca - Università di Padova; University of Groningen Research Portal; Oxford University Research Archive; Vrije Universiteit Amsterdam (VU Amsterdam) - Institutional Repository; Crossref; The University of Manchester - Institutional Repository; Archivio della Ricerca - Università di Roma Tor vergata; NARCIS; Archivio istituzionale della Ricerca - Scuola Normale Superiore; IRIS UNIMORE - Archivio istituzionale della ricerca - Università di Modena e Reggio EmiliaArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018Archivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di Pisaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 7 citations 7 popularity Average influence Average impulse Top 10% Powered by BIP!visibility 62visibility views 62 download downloads 31 Powered bymore_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6383911Data sources: PubMed CentralArchivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaNARCISArticle . 2018Full-Text: https://pure.rug.nl/ws/files/73753028/Aaij2018_Article_SearchForLepton_flavour_violat.pdfData sources: NARCISElectronic archive of Tomsk Polytechnic UniversityArticle . 2018Data sources: Electronic archive of Tomsk Polytechnic UniversityInfoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationsSpiral - Imperial College Digital RepositoryArticle . 2018Data sources: Spiral - Imperial College Digital RepositoryDiposit Digital de la Universitat de Barcelona; Recolector de Ciencia Abierta, RECOLECTAArticle . 2018License: CC BYMinerva. Repositorio Institucional da Universidade de Santiago de CompostelaArticle . 2018License: CC BYPublikationsserver der RWTH Aachen UniversityArticle . 2018Data sources: Publikationsserver der RWTH Aachen UniversityArchivio della ricerca- Università di Roma La SapienzaArticle . 2018Data sources: Archivio della ricerca- Università di Roma La SapienzaRecolector de Ciencia Abierta, RECOLECTAArticle . 2018Data sources: Recolector de Ciencia Abierta, RECOLECTAArchivio istituzionale della ricerca - Università di Padova; Oxford University Research Archive; The University of Manchester - Institutional Repository; European Physical Journal C: Particles and Fields; Archivio della Ricerca - Università di Roma Tor vergata; Archivio istituzionale della Ricerca - Scuola Normale Superiore; IRIS UNIMORE - Archivio istituzionale della ricerca - Università di Modena e Reggio EmiliaOther literature type . Article . 2018 . 2019 . Peer-reviewedLicense: CC BYData sources: Archivio istituzionale della ricerca - Università di Padova; University of Groningen Research Portal; Oxford University Research Archive; Vrije Universiteit Amsterdam (VU Amsterdam) - Institutional Repository; Crossref; The University of Manchester - Institutional Repository; Archivio della Ricerca - Università di Roma Tor vergata; NARCIS; Archivio istituzionale della Ricerca - Scuola Normale Superiore; IRIS UNIMORE - Archivio istituzionale della ricerca - Università di Modena e Reggio EmiliaArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018Archivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di Pisaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint , Report 2018 Italy, Netherlands, Italy, Italy, Netherlands, Switzerland, United Kingdom, United States, France, Italy, Netherlands, Italy, Italy, Germany, Germany, Italy, Italy, Italy, Italy, United Kingdom, United Kingdom, Italy, Spain, Netherlands, Italy, NetherlandsPublisher:American Physical Society (APS) Publicly fundedRoel Aaij; Federico Alessio; Michael Alexander; A. Alfonso Albero; Liupan An; Guido Andreassi; M. Andreotti; Robert Appleby; Marina Artuso; M. Atzeni; Marouen Baalouch; Igor Babuschkin; Alexey Badalov; Sergey Barsuk; William Barter; L. J. Bel; K. Belous; Ivan Belyaev; Alexander Berezhnoy; Alessandro Bertolin; M. Bjørn; Alexander Bondar; Silvia Borghi; Maxim Borisyak; Martino Borsato; Francesco Bossu; Themistocles Bowcock; Svende Braun; Jolanta Brodzicka; E. Buchanan; Christopher Burr; Albert Bursche; S. Cadeddu; Hao Cai; R. Calabrese; Marta Calvi; Lorenzo Capriotti; Giovanni Carboni; Roberta Cardinale; Alessandro Cardini; Gianluigi Casse; David Chamont; M. G. Chapman; Sai-Juan Chen; Stefan-Gabriel Chitic; Veronika Chobanova; Marcin Chrzaszcz; Paolo Ciambrone; Marco Clemencic; Harry Cliff; Joel Closier; Victor Coco; Andrea Contu; S. Coquereau; Gloria Corti; C. M. Costa Sobral; G. A. Cowan; M. Cruz Torres; Robert Currie; J. Dalseno; C. T. Dean; D. Decamp; Olivier Deschamps; Biplab Dey; Hans Dijkstra; Francesca Dordei; Anatoliy Dovbnya; Karlis Dreimanis; John Matthew Durham; Deepanwita Dutta; Michal Dziewiecki; Agnieszka Dziurda; A. Dzyuba; M. Ebert; Ulrik Egede; Stephan Eisenhardt; Robert Ekelhof; Lars Eklund; Timothy Evans; Antonio Falabella; S. Farry; F. Ferreira Rodrigues; Rosa Anna Fini; Miroslaw Firlej; Conor Fitzpatrick; Tomasz Fiutowski; Roger Forty; V. Franco Lima; Markus Frank; E. Furfaro; Emmy Gabriel; Domenico Galli; Paolo Gandini; Lluis Garrido; Marco Gersabeck; Timothy Gershon; V. Gibson; Konstantin Gizdov; Vladimir Gligorov; I. V. Gorelov; Claudio Gotti; L. A. Granado Cardoso; Giacomo Graziani; Alexandru Grecu; P. Griffith; Lukas Gruber; Oliver Grünberg; Evgeny Gushchin; Thomas Hadavizadeh; Mark Hatch; Wenhua Hu; Mikhail Hushchyn; David Hutchcroft; Marek Idzik; Philip Ilten; Daniel Johnson; C. Joram; Sergii Kandybei; James Mwangi Kariuki; N. Kazeev; M. Kecke; E. Khairullin; C. Khurewathanakul; S. Klaver; Serhii Koliiev; Renata Kopecna; Patrick Koppenburg; Alena Kosmyntseva; Sofia Kotriakhova; M. Kreps; Felix Johannes Kress; Pavel Krokovny; W. Krzemien; Daniel Lacarrere; George Lafferty; A. Lai; Christoph Langenbruch; Thomas Latham; Cristina Lazzeroni; J. Lefrançois; F. Lemaitre; Olivier Leroy; B. Leverington; Pei-Rong Li; Y. Li; Xixin Liang; Vitalii Lisovskyi; Xuesong Liu; Angelo Loi; Jose Lopes; D. Lucchesi; Eleonora Luppi; Vladimir Macko; Patrick Mackowiak; Samuel Maddrell-Mander; Dmitrii Maisuzenko; Bartosz Malecki; Timofei Maltsev; Giampiero Mancinelli; C. Marin Benito; M. Martinelli; Z. Mathe; C. Matteuzzi; Emilie Maurice; James Vincent Mead; Nis Meinert; Andrea Merli; Luca Minzoni; J. Molina Rodriguez; Jakub Moron; Mick Mulder; Dominik Müller; K. Müller; R. Nandakumar; Irina Nasteva; Matthew Needham; C. Nguyen-Mau; Nikolay Nikitin; D. P. O’Hanlon; Agnieszka Oblakowska-Mucha; R. Oldeman; Matteo Palutan; M. Pappagallo; L. L. Pappalardo; G. Passaleva; Alessandra Pastore; A. Pellegrino; G. Penso; S. Perazzini; L. Pescatore; Konstantinos Petridis; Alessandro Petrolini; M. Petruzzo; Davide Pinci; Flavio Pisani; A. Piucci; Vlad-Mihai Placinta; Anton Poluektov; Jessica Prisciandaro; Hannah Louise Pullen; Jia-Jia Qin; Bartlomiej Rachwal; Matteo Rama; Fedor Ratnikov; G. Raven; M. Ravonel Salzgeber; Meril Reboud; F. Redi; V. Renaudin; A. B. Rodrigues; Eduardo Rodrigues; Stefan Roiser; A. Romero Vidal; Marcello Rotondo; Elnur Sadykhov; Biagio Saitta; C. Sanchez Mayordomo; Emanuele Santovetti; Gediminas Sarpis; Alessio Sarti; Alessia Satta; Daniel Martin Saunders; S. Schael; Manuel Schiller; Michael Schmelling; M. Schubiger; Alexander Semennikov; Antonino Sergi; Nicola Serra; Paul Seyfert; M. Shapkin; Yury Shcheglov; Tara Shears; Lev Shekhtman; Saverio Simone; Mark Smith; F. J. P. Soler; B. Spaan; Srikanth Sridharan; Federico Stagni; M. Stahl; S. Stefkova; Simon Stemmle; O. Stenyakin; Holger Stevens; Sheldon Stone; Barbara Storaci; Maria Elena Stramaglia; Tomasz Szumlak; Maciej Pawel Szymanski; A. Tayduganov; Matthew James Tilley; S. Tolk; L. Tomassetti; R. Tourinho Jadallah Aoude; Andrei Tsaregorodtsev; Niels Tuning; Artur Ukleja; Andrii Usachov; Andrey Ustyuzhanin; Claudia Vacca; Giovanni Valenti; Stefania Vecchi; Jaap Velthuis; M. Veltri; G. Veneziano; Aravindhan Venkateswaran; Maxime Vernet; V. Volkov; A. Vollhardt; Alexey Vorobyev; Christian Voß; Roland Waldi; Heather Mckenzie Wark; Nigel Watson; David Websdale; A. Weiden; M. Wilkinson; Fergus Wilson; M. Winn; W. Wislicki; Mariusz Witek; G. Wormser; S. A. Wotton; Menglin Xu; Z. Yang; Lei Zhang; Y. Zhang; Y. Zheng; S. Zucchelli;doi: 10.1103/physrevd.97.032010 , 10.18154/rwth-2018-222835 , 10.3204/pubdb-2019-00350 , 10.48550/arxiv.1712.08086
handle: 21.11116/0000-0005-7AA8-5 , 21.11116/0000-0005-7AAA-3 , 11576/2665217 , 11573/1310955 , 1983/5288b9ea-3fd0-4a87-bb39-1d41bbc3dfbd , 11370/8d961e88-680c-4fa6-b012-a9bac7d9e5c0 , 11568/1221917 , 2445/185438 , 1871.1/50eac4e3-a3aa-46d1-b0d0-17a8b9c8fcd9 , 11384/73853 , 11392/2397050 , 2434/622306 , 11567/951888 , 11380/1209774
doi: 10.1103/physrevd.97.032010 , 10.18154/rwth-2018-222835 , 10.3204/pubdb-2019-00350 , 10.48550/arxiv.1712.08086
handle: 21.11116/0000-0005-7AA8-5 , 21.11116/0000-0005-7AAA-3 , 11576/2665217 , 11573/1310955 , 1983/5288b9ea-3fd0-4a87-bb39-1d41bbc3dfbd , 11370/8d961e88-680c-4fa6-b012-a9bac7d9e5c0 , 11568/1221917 , 2445/185438 , 1871.1/50eac4e3-a3aa-46d1-b0d0-17a8b9c8fcd9 , 11384/73853 , 11392/2397050 , 2434/622306 , 11567/951888 , 11380/1209774
Investigations of the existence of pentaquark states containing a single $b$ (anti)quark decaying weakly into four specific final states $J/ψK^+ π^- p, J/ψK^- π^- p, J/ψK^- π^+ p$, and J/ψϕ(1020)p are reported. The data sample corresponds to an integrated luminosity of 3.0 fb$^{-1}$ in 7 and 8 TeV pp collisions acquired with the LHCb detector. Signals are not observed and upper limits are set on the product of the production cross section times branching fraction with respect to that of the $Λ_b^0$. Physical review / D 97(3), 032010 (2018). doi:10.1103/PhysRevD.97.032010 Published by APS, Woodbury, NY
CORE (RIOXX-UK Aggre... arrow_drop_down NARCIS; Physical Review DArticle . 2018Archivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaThe University of Manchester - Institutional RepositoryArticle . 2018Data sources: The University of Manchester - Institutional RepositoryArchivio della ricerca- Università di Roma La SapienzaArticle . 2018Data sources: Archivio della ricerca- Università di Roma La SapienzaInfoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationsNARCISArticle . 2018https://doi.org/10.1103/physre...Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2018Data sources: Spiral - Imperial College Digital RepositoryArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 7 citations 7 popularity Average influence Average impulse Top 10% Powered by BIP!visibility 84visibility views 84 download downloads 26 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down NARCIS; Physical Review DArticle . 2018Archivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaThe University of Manchester - Institutional RepositoryArticle . 2018Data sources: The University of Manchester - Institutional RepositoryArchivio della ricerca- Università di Roma La SapienzaArticle . 2018Data sources: Archivio della ricerca- Università di Roma La SapienzaInfoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationsNARCISArticle . 2018https://doi.org/10.1103/physre...Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2018Data sources: Spiral - Imperial College Digital RepositoryArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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