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3por Ade, P.A.R., Aghanim, N., Armitage-Caplan, C., Arnaud, M., Ashdown, M., Atrio-Barandela, F., Aumont, J., Baccigalupi, C., Banday, A.J., Barreiro, R.B., Battaner, E., Benabed, K., Benoît, A., Benoit-Lévy, A., Bernard, J. -P., Bersanelli, M., Bielewicz, P., Bobin, J., Bock, J.J., Bond, J.R., Borrill, J., Bouchet, F.R., Bridges, M., Bucher, M., Burigana, C., Cardoso, J. -F., Catalano, A., Challinor, A., Chamballu, A., Chiang, L. -Y, Chiang, H.C., Christensen, P.R., Church, S., Clements, D.L., Colombi, S., Colombo, L.P.L., Couchot, F., Coulais, A., Crill, B.P., Curto, A., Cuttaia, F., Danese, L., Davies, R.D., de Bernardis, P., de Rosa, A., de Zotti, G., Delabrouille, J., Delouis, J. -M., Désert, F. -X., Diego, J.M., Dole, H., Donzelli, S., Doré, O., Douspis, M., Dupac, X., Efstathiou, G., Enßlin, T.A., Eriksen, H.K., Finelli, F., Forni, O., Frailis, M., Franceschi, E., Galeotta, S., Ganga, K., Giard, M., Girard, D., Giraud-Héraud, Y., González-Nuevo, J., Górski, K.M., Gratton, S., Gregorio, A., Gruppuso, A., Hansen, F.K., Hanson, D., Harrison, D., Henrot-Versillé, S., Hernández-Monteagudo, C., Herranz, D., Hildebrandt, S.R., Hivon, E., Hobson, M., Holmes, W.A., Hornstrup, A., Hovest, W., Huffenberger, K.M., Jaffe, T.R., Jaffe, A.H., Jones, W.C., Juvela, M., Keihänen, E., Keskitalo, R., Kisner, T.S., Kneissl, R., Knoche, J., Knox, L., Kunz, M., Kurki-Suonio, H., Lagache, G., Lamarre, J. -M., Lasenby, A., Laureijs, R.J., Lawrence, C.R., Leonardi, R., Leroy, C., Lesgourgues, J., Liguori, M., Lilje, P.B., Linden-Vørnle, M., López-Caniego, M., Lubin, P.M., Macías-Pérez, J.F., Mandolesi, N., Maris, M., Marshall, D.J., Martin, P.G., Martínez-González, E., Masi, S., Matarrese, S., Matthai, F., Mazzotta, P., McGehee, P., Melchiorri, A., Mendes, L., Mennella, A., Migliaccio, M., Miniussi, A., Mitra, S., Miville-Deschênes, M. -A., Moneti, A., Montier, L., Morgante, G., Mortlock, D., Mottet, S., Munshi, D., Murphy, J.A., Naselsky, P., Nati, F., Natoli, P., Netterfield, C.B., Nørgaard-Nielsen, H.U., Noviello, F., Novikov, D., Novikov, I., Osborne, S., Oxborrow, C.A., Paci, F., Pagano, L., Pajot, F., Paoletti, D., Pasian, F., Patanchon, G., Perdereau, O., Perotto, L., Perrotta, F., Piacentini, F., Piat, M., Pierpaoli, E., Pietrobon, D., Plaszczynski, S., Pointecouteau, E., Polenta, G., Ponthieu, N., Popa, L., Poutanen, T., Pratt, G.W., Prézeau, G., Prunet, S., Puget, J. -L., Rachen, J.P., Racine, B., Reinecke, M., Remazeilles, M., Renault, C., Ricciardi, S., Riller, T., Ristorcelli, I., Rocha, G., Rosset, C., Roudier, G., Rusholme, B., Sanselme, L., Santos, D., Sauvé, A., Savini, G., Shellard, E.P.S., Spencer, L.D., Starck, J. -L., Stolyarov, V., Stompor, R., Sudiwala, R., Sureau, F., Sutton, D., Suur-Uski, A. -S., Sygnet, J. -F., Tauber, J.A., Tavagnacco, D., Terenzi, L., Toffolatti, L., Tomasi, M., Tristram, M., Tucci, M., Umana, G., Valenziano, L., Valiviita, J., Van Tent, B., Vielva, P., Villa, F., Vittorio, N., Wade, L.A., Wandelt, B.D., Yvon, D., Zacchei, A., Zonca, A.“…This component produces an excess noise if not properly removed from the time ordered data. We have used a glitch detection and subtraction method based on the joint fit of population templates. …”
Publicado 2013
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4por Ade, P.A.R., Aghanim, N., Arnaud, M., Arroja, F., Ashdown, M., Aumont, J., Baccigalupi, C., Ballardini, M., Banday, A.J., Barreiro, R.B., Bartolo, N., Basak, S., Battaner, E., Benabed, K., Benoît, A., Benoit-Lévy, A., Bernard, J.P., Bersanelli, M., Bielewicz, P., Bock, J.J., Bonaldi, A., Bonavera, L., Bond, J.R., Borrill, J., Bouchet, F.R., Boulanger, F., Bucher, M., Burigana, C., Butler, R.C., Calabrese, E., Cardoso, J.F., Catalano, A., Challinor, A., Chamballu, A., Chiang, H.C., Christensen, P.R., Church, S., Clements, D.L., Colombi, S., Colombo, L.P.L., Combet, C., Couchot, F., Coulais, A., Crill, B.P., Curto, A., Cuttaia, F., Danese, L., Davies, R.D., Davis, R.J., de Bernardis, P., De Rosa, A., De Zotti, G., Delabrouille, J., Désert, F.X., Diego, J.M., Dole, H., Donzelli, S., Doré, O., Douspis, M., Ducout, A., Dupac, X., Efstathiou, G., Elsner, F., Enßlin, T.A., Eriksen, H.K., Fergusson, J., Finelli, F., Forni, O., Frailis, M., Fraisse, A.A., Franceschi, E., Frejsel, A., Galeotta, S., Galli, S., Ganga, K., Gauthier, C., Ghosh, T., Giard, M., Giraud-Héraud, Y., Gjerløw, E., González-Nuevo, J., Górski, K.M., Gratton, S., Gregorio, A., Gruppuso, A., Gudmundsson, J.E., Hamann, J., Hansen, F.K., Hanson, D., Harrison, D.L., Heavens, A., Helou, G., Henrot-Versillé, S., Hernández-Monteagudo, C., Herranz, D., Hildebrandt, S.R., Hivon, E., Hobson, M., Holmes, W.A., Hornstrup, A., Hovest, W., Huang, Z., Huffenberger, K.M., Hurier, G., Jaffe, A.H., Jaffe, T.R., Jones, W.C., Juvela, M., Keihänen, E., Keskitalo, R., Kim, J., Kisner, T.S., Knoche, J., Kunz, M., Kurki-Suonio, H., Lacasa, F., Lagache, G., Lähteenmäki, A., Lamarre, J.M., Lasenby, A., Lattanzi, M., Lawrence, C.R., Leonardi, R., Lesgourgues, J., Levrier, F., Lewis, A., Liguori, M., Lilje, P.B., Linden-Vørnle, M., López-Caniego, M., Lubin, P.M., Macías-Pérez, J.F., Maggio, G., Maino, D., Mandolesi, N., Mangilli, A., Marinucci, D., Maris, M., Martin, P.G., Martínez-González, E., Masi, S., Matarrese, S., McGehee, P., Meinhold, P.R., Melchiorri, A., Mendes, L., Mennella, A., Migliaccio, M., Mitra, S., Miville-Deschênes, M.A., Moneti, A., Montier, L., Morgante, G., Mortlock, D., Moss, A., Münchmeyer, M., Munshi, D., Murphy, J.A., Naselsky, P., Nati, F., Natoli, P., Netterfield, C.B., Nørgaard-Nielsen, H.U., Noviello, F., Novikov, D., Novikov, I., Oxborrow, C.A., Paci, F., Pagano, L., Pajot, F., Paoletti, D., Pasian, F., Patanchon, G., Peiris, H.V., Perdereau, O., Perotto, L., Perrotta, F., Pettorino, V., Piacentini, F., Piat, M., Pierpaoli, E., Pietrobon, D., Plaszczynski, S., Pointecouteau, E., Polenta, G., Popa, L., Pratt, G.W., Prézeau, G., Prunet, S., Puget, J.L., Rachen, J.P., Racine, B., Rebolo, R., Reinecke, M., Remazeilles, M., Renault, C., Renzi, A., Ristorcelli, I., Rocha, G., Rosset, C., Rossetti, M., Roudier, G., Rubiño-Martín, J.A., Rusholme, B., Sandri, M., Santos, D., Savelainen, M., Savini, G., Scott, D., Seiffert, M.D., Shellard, E.P.S., Shiraishi, M., Smith, K., Spencer, L.D., Stolyarov, V., Stompor, R., Sudiwala, R., Sunyaev, R., Sutter, P., Sutton, D., Suur-Uski, A.S., Sygnet, J.F., Tauber, J.A., Terenzi, L., Toffolatti, L., Tomasi, M., Tristram, M., Troja, A., Tucci, M., Tuovinen, J., Valenziano, L., Valiviita, J., van Tent, B., Vielva, P., Villa, F., Wade, L.A., Wandelt, B.D., Wehus, I.K., Yvon, D., Zacchei, A., Zonca, A.Enlace del recurso
Publicado 2015
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5“…The resulting age-dependent connectopathic glitch was unnoticed by the early short-lived populations. …”
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6“…These bugs mediated individuals' lived experiences of the digital app and the hybrid space constituted by population governance, individual digital navigation, and technology. …”
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7por Kim, Dae Yoon, Maeng, Soohyun, Cho, Sung-Jin, Park, Hui Jin, Kim, Kyungsu, Lee, Jae Kwon, Srinivasan, Sathiyaraj“…The declining honeybee populations are a significant risk to the productivity and security of agriculture worldwide. …”
Publicado 2023
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8por Chen, Haichou, Deng, Yishu, Li, Bin, Li, Zeqin, Chen, Haohua, Jing, Bingzhong, Li, Chaofeng“…Pixel-wise classification is a popular approach to segmenting the region of interest. …”
Publicado 2023
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9Recruitment and Retention in Remote Research: Learnings From a Large, Decentralized Real-world Studypor Li, Sophia Xueying, Halabi, Ramzi, Selvarajan, Rahavi, Woerner, Molly, Fillipo, Isabell Griffith, Banerjee, Sreya, Mosser, Brittany, Jain, Felipe, Areán, Patricia, Pratap, Abhishek“…They provide a continuous connection between participants and researchers to monitor long-term health trajectories of large populations at a fraction of the cost of traditional research studies. …”
Publicado 2022
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10por Chan, William W, Fitzsimmons-Craft, Ellen E, Smith, Arielle C, Firebaugh, Marie-Laure, Fowler, Lauren A, DePietro, Bianca, Topooco, Naira, Wilfley, Denise E, Taylor, C Barr, Jacobson, Nicholas C“…CONCLUSIONS: Rule-based chatbots have the potential to reach large populations at low cost but are limited in understanding and responding appropriately to unanticipated user responses. …”
Publicado 2022
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11por Joshi, Nitin Kumar, Bhardwaj, Pankaj, Suthar, Praveen, Jain, Yogesh Kumar, Joshi, Vibha, Singh, Kuldeep“…Most of the initiatives perceived in the study were found to be beneficial to the community, covering the entire population targeted. Supporting agencies, technologies used, and challenges faced during the implementation were identified and documented. …”
Publicado 2021
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12por Chakrawarty, Avinash, Ranjan, Piyush, Thrinath, Arnav, Aggarwal, Eishvauk, Isaac, Joshua A, Berry, Parul, Baitha, Upendra, Upadhyay, Ashish D, Chowdhury, Souradeep, Kumar, Arvind“…The present study aimed to assess the extent of adoption of preventive practices among the general population in India. Methods A web-based cross-sectional survey was carried out recruiting 964 participants from all over India through purposive sampling. …”
Publicado 2020
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13“…Social media have emerged as increasingly popular means and environments for information gathering and propagation. …”
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14“…Lastly, it will be beneficial to investigate the various animal models involved in food hypersensitivity to reach the needed momentum necessary for the complete and profound understanding of the mechanisms of the ever-growing number of food allergies in animal and human populations. ABSTRACT: Food hypersensitivity reactions are adverse reactions to harmless dietary substances, whose causes are hidden within derangements of the complex immune machinery of humans and mammals. …”
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15por Tully, Laura, Iosif, Ana-Maria, Zakskorn, Lauren, Kumar, Divya, Nye, Kathleen, Zia, Aqsa, Denton, Jennifer, Pierce, Katherine, Fedechko, Taylor, Niendam, Tara“…This approach may be a valid method of monitoring fluctuations in positive and depression/anxiety symptoms in EP populations to anticipate symptom exacerbations. However, solutions to logistical barriers such as technical challenges and clinician engagement with technology are necessary for widespread adoption across EP care.…”
Publicado 2018
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