196 results on '"Lopez, JP"'
Search Results
2. Benefits of the Polypill on Medication Adherence in the Primary and Secondary Prevention of Cardiovascular Disease: A Systematic Review
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Lopez-Lopez JP, Gonzalez AM, Lanza P, and Lopez-Jaramillo P
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polypill ,cardiovascular disease ,hypertension ,dyslipidemia ,major cardiovascular events ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Jose P Lopez-Lopez,1,2,* Ana Maria Gonzalez,1,* Paola Lanza,1 Patricio Lopez-Jaramillo1 1MASIRA Research Institute, Universidad de Santander (UDES), Bucaramanga, Santander, Colombia; 2Department of Internal Medicine. Cardiology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, Colombia*These authors contributed equally to this workCorrespondence: Patricio Lopez-Jaramillo, MASIRA Research Institute, Facultad de Ciencias de la Salud, Universidad de Santander (UDES), Bloque G, piso 6, Bucaramanga, Santander, Colombia, Tel +57 315 306 8939, Email jplopezj@gmail.comBackground: Higher medication adherence reduces the risk of new cardiovascular events. However, there are individual and health system barriers that lead to lower adherence. The polypill has demonstrated benefits in cardiovascular morbidity and mortality mainly driven by an increase in adherence. We aim to evaluate the impact of the polypill on adherence to cardiovascular medication, its efficacy and safety in cardiovascular disease (CVD) prevention.Methods: A systematic review following PRISMA guidelines was conducted. Databases were searched from January 2003 to December 2022. We included randomized, pragmatic, or real-world clinical trials and observational studies. The primary outcome was medication adherence, secondary outcomes were efficacy in cardiovascular disease in primary and secondary prevention and safety.Results: From the 490 publications screened, 13 met the inclusion criteria and were incorporated into a comparative table Of those included, 70% were randomized controlled trials (RCTs) and 53.8% focused on secondary prevention. Most of the studies received a high and moderate quality rating. Self-report, pill counting and, the Morisky scale were the most frequent methods to evaluate adherence (84.6%). Compared with standard medication, the polypill improved overall medication adherence by 13%, with percentages ranging from 7.6% to 34.9%. Moreover, a potential benefit was also observed in reducing Major Adverse Cardiovascular Events (MACE), particularly in secondary prevention studies, with hazard ratios ranged between 0.43 to 0.76. Compared to standard care, the profile of side effects was similar.Conclusion: The polypill is an effective, safe, and practical strategy to improve adherence in people at risk of CVD. Although there is a demonstrated benefit in reducing MACE, predominantly in secondary prevention, there are still gaps in its efficacy in primary prevention and reducing total mortality. Therefore, the importance of obtaining long-term results of the polypill effect and how this strategy can be implemented in real practice.Keywords: polypill, cardiovascular disease, hypertension, dyslipidemia, major cardiovascular events
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- 2023
3. The Benefits of Polypill: Adherence and Chronotherapy [Response to Letter]
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Lopez-Jaramillo P and Lopez-Lopez JP
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cardiovascular disease ,chronotherapy ,elderly patients ,medication adherence ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Patricio Lopez-Jaramillo, Jose P Lopez-Lopez Masira Research Institute, Medical School, Universidad de Santander, Bucaramanga, ColombiaCorrespondence: Patricio Lopez-Jaramillo, Email jplopezj@gmail.com
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- 2023
4. NMHCs and halocarbons in Asian continental outflow during the Transport and Chemical Evolution over the Pacific (TRACE-P) Field Campaign: Comparison with PEM-West B
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Blake, NJ, Blake, DR, Simpson, IJ, Meinardi, S, Swanson, AL, Lopez, JP, Katzenstein, AS, Barletta, B, Shirai, T, Atlas, E, Sachse, G, Avery, M, Vay, S, Fuelberg, HE, Kiley, CM, Kita, K, and Rowland, FS
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NMHCs ,halocarbons ,methyl bromide ,methyl chloride ,Halon-1211 ,Meteorology & Atmospheric Sciences - Published
- 2003
5. Large-scale latitudinal and vertical distributions of NMHCs and selected halocarbons in the troposphere over the Pacific Ocean during the March-April 1999 Pacific Exploratory Mission (PEM-Tropics B)
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Blake, NJ, Blake, DR, Simpson, IJ, Lopez, JP, Johnston, NAC, Swanson, AL, Katzenstein, AS, Meinardi, S, Sive, BC, Colman, JJ, Atlas, E, Flocke, F, Vay, SA, Avery, MA, and Rowland, FS
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Meteorology & Atmospheric Sciences - Abstract
Nonmethane hydrocarbons (NMHCs) and selected halocarbons were measured in whole air samples collected over the remote Pacific Ocean during NASA's Global Tropospheric Experiment (GTE) Pacific Exploratory Mission-Tropics B (PEM-Tropics B) in March and early April 1999. The large-scale spatial distributions of NMHCs and C2Cl4 reveal a much more pronounced north-south interhemispheric gradient, with higher concentrations in the north and lower levels in the south, than for the late August to early October 1996 PEM-Tropics A experiment. Strong continental outflow and winter-long accumulation of pollutants led to seasonally high Northern Hemisphere trace gas levels during PEM-Tropics B. Observations of enhanced levels of Halon 1211 (from developing Asian nations such as the PRC) and CH3Cl (from SE Asian biomass burning) support a significant southern Asian influence at altitudes above 1 km and north of 10° N. By contrast, at low altitude over the North Pacific the dominance of urban/industrial tracers, combined with low levels of Halon 1211 and CH3Cl, indicate a greater influence from developed nations such as Japan, Europe, and North America. Penetration of air exhibiting aged northern hemisphere characteristics was frequently observed at low altitudes over the equatorial central and western Pacific south to ∼5° S. The relative lack of southern hemisphere biomass burning sources and the westerly position of the South Pacific convergence zone contributed to significantly lower PEM-Tropics B mixing ratios of the NMHCs and CH3Cl south of 10° S compared to PEM-Tropics A. Therefore the trace gas composition of the South Pacific troposphere was considerably more representative of minimally polluted tropospheric conditions during PEM-Tropics B. Copyright 2001 by the American Geophysical Union.
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- 2001
6. Nonmethane hydrocarbon measurements in the North Atlantic Flight Corridor during the Subsonic Assessment Ozone and Nitrogen Oxide Experiment
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Simpson, IJ, Sive, BC, Blake, DR, Blake, NJ, Chen, T‐Y, Lopez, JP, Anderson, BE, Sachse, GW, Vay, SA, Fuelberg, HE, Kondo, Y, Thompson, AM, and Rowland, FS
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Meteorology & Atmospheric Sciences - Abstract
Mixing ratios of nonmethane hydrocarbons (NMHCs) were not enhanced in whole air samples collected within the North Atlantic Flight Corridor (NAFC) during the fall of 1997. The investigation was conducted aboard NASA's DC-8 research aircraft, as part of the Subsonic Assessment (SASS) Ozone and Nitrogen Oxide Experiment (SONEX). NMHC enhancements were not detected within the general organized tracking system of the NAFC, nor during two tail chases of the DC-8's own exhaust. Because positive evidence of aircraft emissions was demonstrated by enhancements in both nitrogen oxides and condensation nuclei during SONEX, the NMHC results suggest that the commercial air traffic fleet operating in the North Atlantic region does not contribute at all or contributes negligibly to NMHCs in the NAFC. Copyright 2000 by the American Geophysical Union.
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- 2000
7. Influence of southern hemispheric biomass burning on midtropospheric distributions of nonmethane hydrocarbons and selected halocarbons over the remote South Pacific
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Blake, NJ, Blake, DR, Wingenter, OW, Sive, BC, McKenzie, LM, Lopez, JP, Simpson, IJ, Fuelberg, HE, Sachse, GW, Anderson, BE, Gregory, GL, Carroll, MA, Albercook, GM, and Rowland, FS
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Meteorology & Atmospheric Sciences - Abstract
Aircraft measurements of nonmethane hydrocarbons (NMHCs) and halocarbons were made over the remote South Pacific Ocean during late August-early October 1996 for NASA's Global Tropospheric Experiment (GTE) Pacific Exploratory Mission-Tropics A (PEM-Tropics A). This paper discusses the large-scale spatial distributions of selected trace gases encountered during PEM-Tropics A. The PEM-Tropics A observations are compared to measurements made over the southwestern pacific in early November 1995 as part of Aerosol Characterization Experiment (ACE 1). Continental pollution in the form of layers containing elevated levels of O3 was observed during a majority of PEM-Tropics flights, as well as during several ACE 1 flights. The chemical composition of these air masses indicates that they were not fresh and were derived from nonurban combustion sources. The substantial impact of biomass burning on the vertical structure of the South Pacific troposphere is discussed. Copyright 1999 by the American Geophysical Union.
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- 1999
8. Estimation of global vehicular methyl bromide emissions: Extrapolation from a case study in Santiago, Chile
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Chen, TY, Blake, DR, Lopez, JP, and Rowland, FS
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Meteorology & Atmospheric Sciences - Abstract
Between June 1 and June 8, 1996, 144 whole air samples were collected in Santiago, Chile. The temporal and geographical enhancement of CH3Br correlated with incomplete combustion tracers emitted from vehicles during the morning commute. From these, a city-wide CH3Br/CO volume emission ratio of 2.2 × 10-6 was measured in ambient air. Without using the CO measurements, we estimate an annual release of 8.9 tons of CH3Br in Santiago based solely upon enhanced concentrations observed throughout the study area during the morning traffic period. This enhancement corresponds to 8.0 × 10-6 kg CH3Br emitted for each liter of gasoline used (leaded and unleaded). By scaling the annual gasoline usage in Santiago to countries still using leaded gasoline, and assuming the above 8.0 × 10-6 kg/L value holds true, a global vehicular CH3Br emission of 4 ± 3 Gg/year is calculated. This small vehicular CH3Br emission source strength will not improve the current CH3Br budget imbalance.
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- 1999
9. The Global Retinoblastoma Outcome Study: a prospective, cluster-based analysis of 4064 patients from 149 countries
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Alia, DB, Tandili, A, Paiva, L, Wime, AD, Chantada, GL, Fandino, AC, Sgroi, M, Papyan, R, Tamamyan, G, Camuglia, JE, Gole, GA, Clark, A, Lam, GC, Elder, JE, McKenzie, JD, Staffieri, SE, Jones, MM, Manudhane, R, Sia, D, Ritter-Sovinz, P, Schwab, C, Balayeva, R, Khan, Z, Nuruddin, M, Roy, SR, Rashid, R, Sultana, S, Shakoor, SA, Naumenko, L, Zhilyaeva, K, Bartoszek, P, Brichard, BG, De Potter, P, Bio, AIA, Salas, B, Coleoni Suarez, ME, Mbumba, FB, Bonanomi, MTBC, Donato Macedo, CR, Grigorovski, NDAK, Mattosinho, CCDS, Teixeira, LF, Oscar, AH, Veleva-Krasteva, NV, Bouda, GC, Kabore, RL, Philbert, R, Evina, TGA, Nkumbe, HE, Kamsang, P, Muyen, OM, Dimaras, H, Mallipatna, A, Hamel, P, Superstein, R, Paton, KE, Strahlendorf, C, Palet, JEKK, Tyau-Tyau, H, Cavieres, I, Lopez, JP, Oporto, J, Ossandon, D, Chen, W, Xiang, D, Du, Y, Li, K, Ji, X, Tang, J, Li, C, Xu, B, Qian, J, Xue, K, Sun, X, Wang, Y-Z, Zhang, Y, Wu, S-Q, Xiao, Y, Yang, H, Ye, H, Polania, RA, Berete, RC, Couitchere, L, Peric, S, Alemany-Rubio, E, Gonzalez-Rodriguez, L, Autrata, R, Kepak, T, Pochop, P, Svojgr, K, Gregersen, PA, Urbak, SF, Montero, MM, Budiongo, A, Yanga, JM, Amani, TBK, Lukamba, RM, Numbi, MN, Calle Jara, DA, Villacis Chafla, EG, Sanchez, GL, Abouelnaga, S, Afifi, MA, Elhaddad, AM, Ali, AM, Elzembely, M, Said, AMA, Ziko, OAO, Fuentes-Alabi, SL, Goenz, MA, Eerme, K, Klett, A, Hordofa, DF, Mengesha, AA, Sherief, ST, Kivela, TT, Nummi, K, Cassoux, N, Desjardins, L, Obono-Obiang, G, Kardava, T, Khotenashvili, Z, Bechrakis, NE, Biewald, EM, Schlueter, S, Ketteler, P, Amankwaa-Frempong, D, Essuman, VA, Paintsil, V, Renner, LA, Alejos, A, Giron, A, Carreras, YA, Fu, LD, Maldonado, C, Wong, ES, Yam, JC, Csoka, M, Maka, E, Aggarwal, P, Gupta, V, Bhaduri, A, Bhattacharyya, A, Das, A, Chawla, B, Das, P, Das, S, Gupta, H, Gupta, S, Verma, N, Kaliki, S, Khetan, V, Maitra, P, Mahajan, A, Menon, V, Mishra, DKC, Palanivelu, MS, Ramanjulu, R, Mudaliar, SS, Nair, AG, Natarajan, S, Seth, R, Singh, U, Bhat, S, Dudeja, G, Tripathy, D, Akib, IMNR, Pagarra, H, Amiruddin, PO, Kuntorini, MW, Armytasari, I, Supriyadi, E, Sutyawan, IWE, Yuliawati, P, Lutfi, D, Soebagjo, HD, Rahman, A, Sitorus, RS, Victor, AA, Tehuteru, ES, Widiarti, W, Nency, YM, Faranoush, M, Mehrvar, A, Tashvighi, M, Sedaghat, A, Ghassemi, F, Khodabande, A, Abdulqader, RA, Al-Shaheen, AASM, Al Ani, MH, Haydar, H, Al-Badri, SAF, Al-Jadiry, MF, Sabhan, AH, Al-Jumaily, U, Al-Mafrachi, AARM, Al-Shammary, EH, Al-Janabi, ANH, Qadir, AO, Capra, M, Blum, S, Gomel, N, Fabian, ID, Goldberg, H, Kapelushnik, N, Madgar, S, Vishnevskia-Dai, V, Frenkel, S, Pe'er, J, Gorfine, M, Refaeli, D, Steinberg, DM, Lavy, Y, Toledano, H, Caspi, S, De Francesco, S, Hadjistilianou, T, Ida, R, Valente, P, Midena, E, Parrozzani, R, Cowan-Lyn, KE, Vaughan, LO, Suzuki, S, Mohammad, MT, Yousef, YA, Manzhuova, L, Atsiaya, R, Matende, IO, Begimkulova, AS, Makimbetov, EK, Keomisy, J, Sayalith, P, Valeina, S, Viksnins, M, Al-Haddad, CE, Saab, RH, Alsawidi, KM, Elbahi, AM, Krivaitiene, D, Tateshi, B, Randrianarisoa, HL, Raobela, L, Msukwa, G, Nyirenda, C, Hamzah, N, Teh, KH, Sylla, F, Traore, F, Cheikh, SS, Zein, E, Perez, GG, Sanchez Orozco, AJ, Ortega-Hernandez, M, Ramirez-Ortiz, MA, Chuluunbat, T, Abdallah, E, Benmiloud, S, El Kettani, A, Hessissen, L, Almeida, AA, Limbu, B, Rajkarnikar, P, Saiju, R, Moll, AC, Wijsard, MVH, Cockcroft, RL, Ng, Y, Dodgshun, AJ, Calderon-Sotelo, P, Abdullahi, SU, Hassan, S, Umar, AB, Abdulrahaman, AA, Wali, AH, Ademola-Popoola, DS, Adio, A, Aghaji, AE, Ezegwui, IR, Akinsete, A, Musa, KO, Fasina, O, Ibanga, A, Nkanga, ED, Mustapha, T, Ribadu, D, Hummelen, M, Ahmad, A, Mushtaq, A, Qayyum, S, Chaudhry, S, Fadoo, Z, Jeeva, I, Masud, S, Hamid, SA, Zia, N, Siddiqui, SN, Janjua, T, Yaqub, MA, Khaqan, HA, Quintero D, K, Yee, R, Jairaj, V, Cano, MR, Fernandez, DDPG, Diaz Coronado, RY, Zapata Lopez, AM, Garcia, JL, Ponce, J, Garcia Pacheco, HN, Pascual Morales, CR, Vasquez Anchaya, JK, Tarrillo Leiva, FF, Alcasabas, APA, Mercado, GJ, Cieslik, K, Hautz, W, Rogowska, A, Castela, G, Silva, S, Jo, DH, Kim, JH, Comsa, C, Dragomir, MD, Neroev, V, Saakyan, S, Polyakov, V, Ushakova, TL, Yarovaya, VA, Yarovoy, AA, Theophile, T, Al Mesfer, S, Maktabi, A, Al-Dahmash, SA, Alkatan, HM, Moreira, C, Roth, PAN, Ilic, VR, Nikitovic, M, Latinovic, S, Quah, B, Tan, D, Hederova, S, Husakova, K, Groznik, AL, Pompe, MT, Davidson, A, Du Bruyn, M, Du Plessis, J, Stones, DK, Geel, JA, Myezo, KH, Kruger, M, Mayet, I, Naidu, G, Naidu, N, Mustak, H, Reynders, D, Wetter, J, Alarcon Portabella, S, Martin-Begue, N, Wolley Dod, C, Balaguer, J, Barranco, H, Catala-Mora, J, Correa Llano, MG, Fernandez-Teijeiro, A, Garcia Aldana, D, Peralta Calvo, J, San Roman Pacheco, S, Gunasekera, DS, Elhassan, MMA, Mohamedani, AA, All-Eriksson, C, Bartuma, K, Popovic, MB, Munier, FL, Liu, C-H, Chiwanga, FS, Kyara, A, Mndeme, FG, Msina, MS, Scanlan, TA, Atchaneeyasakul, L-O, Buaboonnam, J, Dangboon, W, Singha, P, Hongeng, S, Kulvichit, K, Rojanaporn, D, Surukrattanaskul, S, Wangtiraumnuay, N, Wiwatwongwana, A, Wiwatwongwana, D, Wongwai, P, Sharma, MK, Guedenon, KM, Bouguila, H, Atalay, HT, Hasanreisoglu, M, Ataseven, E, Kantar, M, Gunduz, AK, Kebudi, R, Kiratli, H, Koc, I, Tuncer, S, Unal, E, Kalinaki, A, Matua, M, Waddell, K, Musika, AA, Ssali, G, Al Harby, L, Reddy, MA, Astbury, NJ, Bascaran, C, Bowman, R, Burton, MJ, Foster, A, Zondervan, M, Sagoo, MS, Bobrova, N, Sorochynska, T, Lysytsia, L, Castillo, L, Afshar, AR, Berry, JL, Kim, JW, Randhawa, JK, Binkley, E, Boldt, HC, Larson, SA, Brennan, RC, Chandramohan, A, Stacey, AW, Corson, TW, Plager, DA, Davanzo, JM, Singh, AD, Demirci, H, Ericksen, C, Magrath, GN, Gold, AS, Murray, TG, Gonzalez, E, Shah, AS, Hansen, ED, Hartnett, ME, Harbour, JW, Hubbard, GB, Uner, OE, Laurenti, KD, Mets, MB, Leverant, AA, Ramasubramanian, A, Luna-Fineman, S, Miller, A, Skalet, AH, Mruthyunjaya, P, Hassan, M, Oliver, SC, Shields, CL, Yaghy, A, Stahl, ED, Wilson, MW, Villegas, VM, Islamov, Z, Usmanov, RH, Graells, J, Romero, L, Pham, CTM, Trang, DL, Al-Hussaini, HH, Thawaba, ADM, Muma, KIM, Nyaywa, M, Alia, DB, Tandili, A, Paiva, L, Wime, AD, Chantada, GL, Fandino, AC, Sgroi, M, Papyan, R, Tamamyan, G, Camuglia, JE, Gole, GA, Clark, A, Lam, GC, Elder, JE, McKenzie, JD, Staffieri, SE, Jones, MM, Manudhane, R, Sia, D, Ritter-Sovinz, P, Schwab, C, Balayeva, R, Khan, Z, Nuruddin, M, Roy, SR, Rashid, R, Sultana, S, Shakoor, SA, Naumenko, L, Zhilyaeva, K, Bartoszek, P, Brichard, BG, De Potter, P, Bio, AIA, Salas, B, Coleoni Suarez, ME, Mbumba, FB, Bonanomi, MTBC, Donato Macedo, CR, Grigorovski, NDAK, Mattosinho, CCDS, Teixeira, LF, Oscar, AH, Veleva-Krasteva, NV, Bouda, GC, Kabore, RL, Philbert, R, Evina, TGA, Nkumbe, HE, Kamsang, P, Muyen, OM, Dimaras, H, Mallipatna, A, Hamel, P, Superstein, R, Paton, KE, Strahlendorf, C, Palet, JEKK, Tyau-Tyau, H, Cavieres, I, Lopez, JP, Oporto, J, Ossandon, D, Chen, W, Xiang, D, Du, Y, Li, K, Ji, X, Tang, J, Li, C, Xu, B, Qian, J, Xue, K, Sun, X, Wang, Y-Z, Zhang, Y, Wu, S-Q, Xiao, Y, Yang, H, Ye, H, Polania, RA, Berete, RC, Couitchere, L, Peric, S, Alemany-Rubio, E, Gonzalez-Rodriguez, L, Autrata, R, Kepak, T, Pochop, P, Svojgr, K, Gregersen, PA, Urbak, SF, Montero, MM, Budiongo, A, Yanga, JM, Amani, TBK, Lukamba, RM, Numbi, MN, Calle Jara, DA, Villacis Chafla, EG, Sanchez, GL, Abouelnaga, S, Afifi, MA, Elhaddad, AM, Ali, AM, Elzembely, M, Said, AMA, Ziko, OAO, Fuentes-Alabi, SL, Goenz, MA, Eerme, K, Klett, A, Hordofa, DF, Mengesha, AA, Sherief, ST, Kivela, TT, Nummi, K, Cassoux, N, Desjardins, L, Obono-Obiang, G, Kardava, T, Khotenashvili, Z, Bechrakis, NE, Biewald, EM, Schlueter, S, Ketteler, P, Amankwaa-Frempong, D, Essuman, VA, Paintsil, V, Renner, LA, Alejos, A, Giron, A, Carreras, YA, Fu, LD, Maldonado, C, Wong, ES, Yam, JC, Csoka, M, Maka, E, Aggarwal, P, Gupta, V, Bhaduri, A, Bhattacharyya, A, Das, A, Chawla, B, Das, P, Das, S, Gupta, H, Gupta, S, Verma, N, Kaliki, S, Khetan, V, Maitra, P, Mahajan, A, Menon, V, Mishra, DKC, Palanivelu, MS, Ramanjulu, R, Mudaliar, SS, Nair, AG, Natarajan, S, Seth, R, Singh, U, Bhat, S, Dudeja, G, Tripathy, D, Akib, IMNR, Pagarra, H, Amiruddin, PO, Kuntorini, MW, Armytasari, I, Supriyadi, E, Sutyawan, IWE, Yuliawati, P, Lutfi, D, Soebagjo, HD, Rahman, A, Sitorus, RS, Victor, AA, Tehuteru, ES, Widiarti, W, Nency, YM, Faranoush, M, Mehrvar, A, Tashvighi, M, Sedaghat, A, Ghassemi, F, Khodabande, A, Abdulqader, RA, Al-Shaheen, AASM, Al Ani, MH, Haydar, H, Al-Badri, SAF, Al-Jadiry, MF, Sabhan, AH, Al-Jumaily, U, Al-Mafrachi, AARM, Al-Shammary, EH, Al-Janabi, ANH, Qadir, AO, Capra, M, Blum, S, Gomel, N, Fabian, ID, Goldberg, H, Kapelushnik, N, Madgar, S, Vishnevskia-Dai, V, Frenkel, S, Pe'er, J, Gorfine, M, Refaeli, D, Steinberg, DM, Lavy, Y, Toledano, H, Caspi, S, De Francesco, S, Hadjistilianou, T, Ida, R, Valente, P, Midena, E, Parrozzani, R, Cowan-Lyn, KE, Vaughan, LO, Suzuki, S, Mohammad, MT, Yousef, YA, Manzhuova, L, Atsiaya, R, Matende, IO, Begimkulova, AS, Makimbetov, EK, Keomisy, J, Sayalith, P, Valeina, S, Viksnins, M, Al-Haddad, CE, Saab, RH, Alsawidi, KM, Elbahi, AM, Krivaitiene, D, Tateshi, B, Randrianarisoa, HL, Raobela, L, Msukwa, G, Nyirenda, C, Hamzah, N, Teh, KH, Sylla, F, Traore, F, Cheikh, SS, Zein, E, Perez, GG, Sanchez Orozco, AJ, Ortega-Hernandez, M, Ramirez-Ortiz, MA, Chuluunbat, T, Abdallah, E, Benmiloud, S, El Kettani, A, Hessissen, L, Almeida, AA, Limbu, B, Rajkarnikar, P, Saiju, R, Moll, AC, Wijsard, MVH, Cockcroft, RL, Ng, Y, Dodgshun, AJ, Calderon-Sotelo, P, Abdullahi, SU, Hassan, S, Umar, AB, Abdulrahaman, AA, Wali, AH, Ademola-Popoola, DS, Adio, A, Aghaji, AE, Ezegwui, IR, Akinsete, A, Musa, KO, Fasina, O, Ibanga, A, Nkanga, ED, Mustapha, T, Ribadu, D, Hummelen, M, Ahmad, A, Mushtaq, A, Qayyum, S, Chaudhry, S, Fadoo, Z, Jeeva, I, Masud, S, Hamid, SA, Zia, N, Siddiqui, SN, Janjua, T, Yaqub, MA, Khaqan, HA, Quintero D, K, Yee, R, Jairaj, V, Cano, MR, Fernandez, DDPG, Diaz Coronado, RY, Zapata Lopez, AM, Garcia, JL, Ponce, J, Garcia Pacheco, HN, Pascual Morales, CR, Vasquez Anchaya, JK, Tarrillo Leiva, FF, Alcasabas, APA, Mercado, GJ, Cieslik, K, Hautz, W, Rogowska, A, Castela, G, Silva, S, Jo, DH, Kim, JH, Comsa, C, Dragomir, MD, Neroev, V, Saakyan, S, Polyakov, V, Ushakova, TL, Yarovaya, VA, Yarovoy, AA, Theophile, T, Al Mesfer, S, Maktabi, A, Al-Dahmash, SA, Alkatan, HM, Moreira, C, Roth, PAN, Ilic, VR, Nikitovic, M, Latinovic, S, Quah, B, Tan, D, Hederova, S, Husakova, K, Groznik, AL, Pompe, MT, Davidson, A, Du Bruyn, M, Du Plessis, J, Stones, DK, Geel, JA, Myezo, KH, Kruger, M, Mayet, I, Naidu, G, Naidu, N, Mustak, H, Reynders, D, Wetter, J, Alarcon Portabella, S, Martin-Begue, N, Wolley Dod, C, Balaguer, J, Barranco, H, Catala-Mora, J, Correa Llano, MG, Fernandez-Teijeiro, A, Garcia Aldana, D, Peralta Calvo, J, San Roman Pacheco, S, Gunasekera, DS, Elhassan, MMA, Mohamedani, AA, All-Eriksson, C, Bartuma, K, Popovic, MB, Munier, FL, Liu, C-H, Chiwanga, FS, Kyara, A, Mndeme, FG, Msina, MS, Scanlan, TA, Atchaneeyasakul, L-O, Buaboonnam, J, Dangboon, W, Singha, P, Hongeng, S, Kulvichit, K, Rojanaporn, D, Surukrattanaskul, S, Wangtiraumnuay, N, Wiwatwongwana, A, Wiwatwongwana, D, Wongwai, P, Sharma, MK, Guedenon, KM, Bouguila, H, Atalay, HT, Hasanreisoglu, M, Ataseven, E, Kantar, M, Gunduz, AK, Kebudi, R, Kiratli, H, Koc, I, Tuncer, S, Unal, E, Kalinaki, A, Matua, M, Waddell, K, Musika, AA, Ssali, G, Al Harby, L, Reddy, MA, Astbury, NJ, Bascaran, C, Bowman, R, Burton, MJ, Foster, A, Zondervan, M, Sagoo, MS, Bobrova, N, Sorochynska, T, Lysytsia, L, Castillo, L, Afshar, AR, Berry, JL, Kim, JW, Randhawa, JK, Binkley, E, Boldt, HC, Larson, SA, Brennan, RC, Chandramohan, A, Stacey, AW, Corson, TW, Plager, DA, Davanzo, JM, Singh, AD, Demirci, H, Ericksen, C, Magrath, GN, Gold, AS, Murray, TG, Gonzalez, E, Shah, AS, Hansen, ED, Hartnett, ME, Harbour, JW, Hubbard, GB, Uner, OE, Laurenti, KD, Mets, MB, Leverant, AA, Ramasubramanian, A, Luna-Fineman, S, Miller, A, Skalet, AH, Mruthyunjaya, P, Hassan, M, Oliver, SC, Shields, CL, Yaghy, A, Stahl, ED, Wilson, MW, Villegas, VM, Islamov, Z, Usmanov, RH, Graells, J, Romero, L, Pham, CTM, Trang, DL, Al-Hussaini, HH, Thawaba, ADM, Muma, KIM, and Nyaywa, M
- Abstract
BACKGROUND: Retinoblastoma is the most common intraocular cancer worldwide. There is some evidence to suggest that major differences exist in treatment outcomes for children with retinoblastoma from different regions, but these differences have not been assessed on a global scale. We aimed to report 3-year outcomes for children with retinoblastoma globally and to investigate factors associated with survival. METHODS: We did a prospective cluster-based analysis of treatment-naive patients with retinoblastoma who were diagnosed between Jan 1, 2017, and Dec 31, 2017, then treated and followed up for 3 years. Patients were recruited from 260 specialised treatment centres worldwide. Data were obtained from participating centres on primary and additional treatments, duration of follow-up, metastasis, eye globe salvage, and survival outcome. We analysed time to death and time to enucleation with Cox regression models. FINDINGS: The cohort included 4064 children from 149 countries. The median age at diagnosis was 23·2 months (IQR 11·0-36·5). Extraocular tumour spread (cT4 of the cTNMH classification) at diagnosis was reported in five (0·8%) of 636 children from high-income countries, 55 (5·4%) of 1027 children from upper-middle-income countries, 342 (19·7%) of 1738 children from lower-middle-income countries, and 196 (42·9%) of 457 children from low-income countries. Enucleation surgery was available for all children and intravenous chemotherapy was available for 4014 (98·8%) of 4064 children. The 3-year survival rate was 99·5% (95% CI 98·8-100·0) for children from high-income countries, 91·2% (89·5-93·0) for children from upper-middle-income countries, 80·3% (78·3-82·3) for children from lower-middle-income countries, and 57·3% (52·1-63·0) for children from low-income countries. On analysis, independent factors for worse survival were residence in low-income countries compared to high-income countries (hazard ratio 16·67; 95% CI 4·76-50·00), cT4 advanced tumour compared to
- Published
- 2022
10. Global Retinoblastoma Presentation and Analysis by National Income Level
- Author
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Fabian, ID, Abdallah, E, Abdullahi, SU, Abdulqader, RA, Boubacar, SA, Ademola-Popoola, DS, Adio, A, Afshar, AR, Aggarwal, P, Aghaji, AE, Ahmad, A, Akib, MNR, Al Harby, L, Al Ani, MH, Alakbarova, A, Portabella, SA, Al-Badri, SAF, Alcasabas, APA, Al-Dahmash, SA, Alejos, A, Alemany-Rubio, E, Bio, AIA, Carreras, YA, Al-Haddad, C, Al-Hussaini, HHY, Ali, AM, Alia, DB, Al-Jadiry, MF, Al-Jumaly, U, Alkatan, HM, All-Eriksson, C, Al-Mafrachi, AARM, Almeida, AA, Alsawidi, KM, Al-Shaheen, AASM, Al-Shammary, EH, Amiruddin, PO, Antonino, R, Astbury, NJ, Atalay, HT, Atchaneeyasakul, L-O, Atsiaya, R, Attaseth, T, Aung, TH, Ayala, S, Baizakova, B, Balaguer, J, Balayeva, R, Balwierz, W, Barranco, H, Bascaran, C, Popovic, MB, Benavides, R, Benmiloud, S, Guebessi, NB, Berete, RC, Berry, JL, Bhaduri, A, Bhat, S, Biddulph, SJ, Biewald, EM, Bobrova, N, Boehme, M, Boldt, HC, Bonanomi, MTBC, Bornfeld, N, Bouda, GC, Bouguila, H, Boumedane, A, Brennan, RC, Brichard, BG, Buaboonnam, J, Calderon-Sotelo, P, Calle Jara, DA, Camuglia, JE, Cano, MR, Capra, M, Cassoux, N, Castela, G, Castillo, L, Catala-Mora, J, Chantada, GL, Chaudhry, S, Chaugule, SS, Chauhan, A, Chawla, B, Chernodrinska, VS, Chiwanga, FS, Chuluunbat, T, Cieslik, K, Cockcroft, RL, Comsa, C, Correa, ZM, Correa Llano, MG, Corson, TW, Cowan-Lyn, KE, Csoka, M, Cui, X, Da Gama, I, Dangboon, W, Das, A, Das, S, Davanzo, JM, Davidson, A, De Potter, P, Delgado, KQ, Demirci, H, Desjardins, L, Diaz Coronado, RY, Dimaras, H, Dodgshun, AJ, Donaldson, C, Donato Macedo, CR, Dragomir, MD, Du, Y, Du Bruyn, M, Edison, KS, Sutyawan, IWE, El Kettani, A, Elbahi, AM, Elder, JE, Elgalaly, D, Elhaddad, AM, Elhassan, MMA, Elzembely, MM, Essuman, VA, Evina, TGA, Fadoo, Z, Fandino, AC, Faranoush, M, Fasina, O, Fernandez, DDPG, Fernandez-Teijeiro, A, Foster, A, Frenkel, S, Fu, LD, Fuentes-Alabi, SL, Gallie, BL, Gandiwa, M, Garcia, JL, Garcia Aldana, D, Gassant, PY, Geel, JA, Ghassemi, F, Giron, A, Gizachew, Z, Goenz, MA, Gold, AS, Goldberg-Lavid, M, Gole, GA, Gomel, N, Gonzalez, E, Gonzalez Perez, G, Gonzalez-Rodriguez, L, Garcia Pacheco, HN, Graells, J, Green, L, Gregersen, PA, Grigorovski, NDAK, Guedenon, KM, Gunasekera, DS, Gunduz, AK, Gupta, H, Gupta, S, Hadjistilianou, T, Hamel, P, Hamid, SA, Hamzah, N, Hansen, ED, Harbour, JW, Hartnett, ME, Hasanreisoglu, M, Hassan, S, Hederova, S, Hernandez, J, Carcamo Hernandez, LM, Hessissen, L, Hordofa, DF, Huang, LC, Hubbard, GB, Hummlen, M, Husakova, K, Al-Janabi, ANH, Ida, R, Ilic, VR, Jairaj, V, Jeeva, I, Jenkinson, H, Ji, X, Jo, DH, Johnson, KP, Johnson, WJ, Jones, MM, Kabesha, TBA, Kabore, RL, Kaliki, S, Kalinaki, A, Kantar, M, Kao, L-Y, Kardava, T, Kebudi, R, Kepak, T, Keren-Froim, N, Khan, ZJ, Khaqan, HA, Khauv, P, Kheir, WJ, Khetan, V, Khodabande, A, Khotenashvili, Z, Kim, JW, Kim, JH, Kiratli, H, Kivela, TT, Klett, A, Palet, JEKK, Krivaitiene, D, Kruger, M, Kulvichit, K, Kuntorini, MW, Kyara, A, Lachmann, ES, Lam, CPS, Lam, GC, Larson, SA, Latinovic, S, Laurenti, KD, Le, BHA, Lecuona, K, Leverant, AA, Li, C, Limbu, B, Quah, BL, Lopez, JP, Lukamba, RM, Lumbroso, L, Luna-Fineman, S, Lutfi, D, Lysytsia, L, Magrath, GN, Mahajan, A, Majeed, AR, Maka, E, Makan, M, Makimbetov, EK, Manda, C, Martin Begue, N, Mason, L, Mason, JO, Matende, IO, Materin, M, Mattosinho, CCDS, Matua, M, Mayet, I, Mbumba, FB, McKenzie, JD, Medina-Sanson, A, Mehrvar, A, Mengesha, AA, Menon, V, Mercado, GJVD, Mets, MB, Midena, E, Mishra, DKC, Mndeme, FG, Mohamedani, AA, Mohammad, MT, Moll, AC, Montero, MM, Morales, RA, Moreira, C, Mruthyunjaya, P, Msina, MS, Msukwa, G, Mudaliar, SS, Muma, K, Munier, FL, Murgoi, G, Murray, TG, Musa, KO, Mushtaq, A, Mustak, H, Muyen, OM, Naidu, G, Nair, AG, Naumenko, L, Roth, PAN, Nency, YM, Neroev, V, Ngo, H, Nieves, RM, Nikitovic, M, Nkanga, ED, Nkumbe, H, Nuruddin, M, Nyaywa, M, Obono-Obiang, G, Oguego, NC, Olechowski, A, Oliver, SCN, Osei-Bonsu, P, Ossandon, D, Paez-Escamilla, MA, Pagarra, H, Painter, SL, Paintsil, V, Paiva, L, Pal, BP, Palanivelu, MS, Papyan, R, Parrozzani, R, Parulekar, M, Morales, CRP, Paton, KE, Pawinska-Wasikowska, K, Pe'er, J, Pena, A, Peric, S, Pham, CTM, Philbert, R, Plager, DA, Pochop, P, Polania, RA, Polyakov, VG, Pompe, MT, Pons, JJ, Prat, D, Prom, V, Purwanto, I, Qadir, AO, Qayyum, S, Qian, J, Rahman, A, Rahman, S, Rahmat, J, Rajkarnikar, P, Ramanjulu, R, Ramasubramanian, A, Ramirez-Ortiz, MA, Raobela, L, Rashid, R, Reddy, MA, Reich, E, Renner, LA, Reynders, D, Ribadu, D, Riheia, MM, Ritter-Sovinz, P, Rojanaporn, D, Romero, L, Roy, SR, Saab, RH, Saakyan, S, Sabhan, AH, Sagoo, MS, Said, AMA, Saiju, R, Salas, B, San Roman Pacheco, S, Sanchez, GL, Sayalith, P, Scanlan, TA, Schefler, AC, Schoeman, J, Sedaghat, A, Seregard, S, Seth, R, Shah, AS, Shakoor, SA, Sharma, MK, Sherief, ST, Shetye, NG, Shields, CL, Siddiqui, SN, Cheikh, SS, Silva, S, Singh, AD, Singh, N, Singh, U, Singha, P, Sitorus, RS, Skalet, AH, Soebagjo, HD, Sorochynska, T, Ssali, G, Stacey, AW, Staffieri, SE, Stahl, ED, Stathopoulos, C, Kranjc, BS, Stones, DK, Strahlendorf, C, Suarez, MEC, Sultana, S, Sun, X, Sundy, M, Superstein, R, Supriyadi, E, Surukrattanaskul, S, Suzuki, S, Svojgr, K, Sylla, F, Tamamyan, G, Tan, D, Tandili, A, Tarrillo Leiva, FF, Tashvighi, M, Tateshi, B, Tehuteru, ES, Teixeira, LF, Teh, KH, Theophile, T, Toledano, H, Trang, DL, Traore, F, Trichaiyaporn, S, Tuncer, S, Tyau-Tyau, H, Umar, AB, Unal, E, Uner, OE, Urbak, SF, Ushakova, TL, Usmanov, RH, Valeina, S, Wijsard, MVH, Varadisai, A, Vasquez, L, Vaughan, LO, Veleva-Krasteva, NV, Verma, N, Victor, AA, Viksnins, M, Villacos Chafla, EG, Vishnevskia-Dai, V, Vora, T, Wachtel, AE, Wackernagel, W, Waddell, K, Wade, PD, Wali, AH, Wang, Y-Z, Weiss, A, Wilson, MW, Wime, ADC, Wiwatwongwana, A, Wiwatwongwana, D, Dod, CW, Wongwai, P, Xiang, D, Xiao, Y, Yam, JC, Yang, H, Yanga, JM, Yaqub, MA, Yarovaya, VA, Yarovoy, AA, Ye, H, Yousef, YA, Yuliawati, P, Zapata Lopez, AM, Zein, E, Zhang, C, Zhang, Y, Zhao, J, Zheng, X, Zhilyaeva, K, Zia, N, Ziko, OAO, Zondervan, M, Bowman, R, Fabian, ID, Abdallah, E, Abdullahi, SU, Abdulqader, RA, Boubacar, SA, Ademola-Popoola, DS, Adio, A, Afshar, AR, Aggarwal, P, Aghaji, AE, Ahmad, A, Akib, MNR, Al Harby, L, Al Ani, MH, Alakbarova, A, Portabella, SA, Al-Badri, SAF, Alcasabas, APA, Al-Dahmash, SA, Alejos, A, Alemany-Rubio, E, Bio, AIA, Carreras, YA, Al-Haddad, C, Al-Hussaini, HHY, Ali, AM, Alia, DB, Al-Jadiry, MF, Al-Jumaly, U, Alkatan, HM, All-Eriksson, C, Al-Mafrachi, AARM, Almeida, AA, Alsawidi, KM, Al-Shaheen, AASM, Al-Shammary, EH, Amiruddin, PO, Antonino, R, Astbury, NJ, Atalay, HT, Atchaneeyasakul, L-O, Atsiaya, R, Attaseth, T, Aung, TH, Ayala, S, Baizakova, B, Balaguer, J, Balayeva, R, Balwierz, W, Barranco, H, Bascaran, C, Popovic, MB, Benavides, R, Benmiloud, S, Guebessi, NB, Berete, RC, Berry, JL, Bhaduri, A, Bhat, S, Biddulph, SJ, Biewald, EM, Bobrova, N, Boehme, M, Boldt, HC, Bonanomi, MTBC, Bornfeld, N, Bouda, GC, Bouguila, H, Boumedane, A, Brennan, RC, Brichard, BG, Buaboonnam, J, Calderon-Sotelo, P, Calle Jara, DA, Camuglia, JE, Cano, MR, Capra, M, Cassoux, N, Castela, G, Castillo, L, Catala-Mora, J, Chantada, GL, Chaudhry, S, Chaugule, SS, Chauhan, A, Chawla, B, Chernodrinska, VS, Chiwanga, FS, Chuluunbat, T, Cieslik, K, Cockcroft, RL, Comsa, C, Correa, ZM, Correa Llano, MG, Corson, TW, Cowan-Lyn, KE, Csoka, M, Cui, X, Da Gama, I, Dangboon, W, Das, A, Das, S, Davanzo, JM, Davidson, A, De Potter, P, Delgado, KQ, Demirci, H, Desjardins, L, Diaz Coronado, RY, Dimaras, H, Dodgshun, AJ, Donaldson, C, Donato Macedo, CR, Dragomir, MD, Du, Y, Du Bruyn, M, Edison, KS, Sutyawan, IWE, El Kettani, A, Elbahi, AM, Elder, JE, Elgalaly, D, Elhaddad, AM, Elhassan, MMA, Elzembely, MM, Essuman, VA, Evina, TGA, Fadoo, Z, Fandino, AC, Faranoush, M, Fasina, O, Fernandez, DDPG, Fernandez-Teijeiro, A, Foster, A, Frenkel, S, Fu, LD, Fuentes-Alabi, SL, Gallie, BL, Gandiwa, M, Garcia, JL, Garcia Aldana, D, Gassant, PY, Geel, JA, Ghassemi, F, Giron, A, Gizachew, Z, Goenz, MA, Gold, AS, Goldberg-Lavid, M, Gole, GA, Gomel, N, Gonzalez, E, Gonzalez Perez, G, Gonzalez-Rodriguez, L, Garcia Pacheco, HN, Graells, J, Green, L, Gregersen, PA, Grigorovski, NDAK, Guedenon, KM, Gunasekera, DS, Gunduz, AK, Gupta, H, Gupta, S, Hadjistilianou, T, Hamel, P, Hamid, SA, Hamzah, N, Hansen, ED, Harbour, JW, Hartnett, ME, Hasanreisoglu, M, Hassan, S, Hederova, S, Hernandez, J, Carcamo Hernandez, LM, Hessissen, L, Hordofa, DF, Huang, LC, Hubbard, GB, Hummlen, M, Husakova, K, Al-Janabi, ANH, Ida, R, Ilic, VR, Jairaj, V, Jeeva, I, Jenkinson, H, Ji, X, Jo, DH, Johnson, KP, Johnson, WJ, Jones, MM, Kabesha, TBA, Kabore, RL, Kaliki, S, Kalinaki, A, Kantar, M, Kao, L-Y, Kardava, T, Kebudi, R, Kepak, T, Keren-Froim, N, Khan, ZJ, Khaqan, HA, Khauv, P, Kheir, WJ, Khetan, V, Khodabande, A, Khotenashvili, Z, Kim, JW, Kim, JH, Kiratli, H, Kivela, TT, Klett, A, Palet, JEKK, Krivaitiene, D, Kruger, M, Kulvichit, K, Kuntorini, MW, Kyara, A, Lachmann, ES, Lam, CPS, Lam, GC, Larson, SA, Latinovic, S, Laurenti, KD, Le, BHA, Lecuona, K, Leverant, AA, Li, C, Limbu, B, Quah, BL, Lopez, JP, Lukamba, RM, Lumbroso, L, Luna-Fineman, S, Lutfi, D, Lysytsia, L, Magrath, GN, Mahajan, A, Majeed, AR, Maka, E, Makan, M, Makimbetov, EK, Manda, C, Martin Begue, N, Mason, L, Mason, JO, Matende, IO, Materin, M, Mattosinho, CCDS, Matua, M, Mayet, I, Mbumba, FB, McKenzie, JD, Medina-Sanson, A, Mehrvar, A, Mengesha, AA, Menon, V, Mercado, GJVD, Mets, MB, Midena, E, Mishra, DKC, Mndeme, FG, Mohamedani, AA, Mohammad, MT, Moll, AC, Montero, MM, Morales, RA, Moreira, C, Mruthyunjaya, P, Msina, MS, Msukwa, G, Mudaliar, SS, Muma, K, Munier, FL, Murgoi, G, Murray, TG, Musa, KO, Mushtaq, A, Mustak, H, Muyen, OM, Naidu, G, Nair, AG, Naumenko, L, Roth, PAN, Nency, YM, Neroev, V, Ngo, H, Nieves, RM, Nikitovic, M, Nkanga, ED, Nkumbe, H, Nuruddin, M, Nyaywa, M, Obono-Obiang, G, Oguego, NC, Olechowski, A, Oliver, SCN, Osei-Bonsu, P, Ossandon, D, Paez-Escamilla, MA, Pagarra, H, Painter, SL, Paintsil, V, Paiva, L, Pal, BP, Palanivelu, MS, Papyan, R, Parrozzani, R, Parulekar, M, Morales, CRP, Paton, KE, Pawinska-Wasikowska, K, Pe'er, J, Pena, A, Peric, S, Pham, CTM, Philbert, R, Plager, DA, Pochop, P, Polania, RA, Polyakov, VG, Pompe, MT, Pons, JJ, Prat, D, Prom, V, Purwanto, I, Qadir, AO, Qayyum, S, Qian, J, Rahman, A, Rahman, S, Rahmat, J, Rajkarnikar, P, Ramanjulu, R, Ramasubramanian, A, Ramirez-Ortiz, MA, Raobela, L, Rashid, R, Reddy, MA, Reich, E, Renner, LA, Reynders, D, Ribadu, D, Riheia, MM, Ritter-Sovinz, P, Rojanaporn, D, Romero, L, Roy, SR, Saab, RH, Saakyan, S, Sabhan, AH, Sagoo, MS, Said, AMA, Saiju, R, Salas, B, San Roman Pacheco, S, Sanchez, GL, Sayalith, P, Scanlan, TA, Schefler, AC, Schoeman, J, Sedaghat, A, Seregard, S, Seth, R, Shah, AS, Shakoor, SA, Sharma, MK, Sherief, ST, Shetye, NG, Shields, CL, Siddiqui, SN, Cheikh, SS, Silva, S, Singh, AD, Singh, N, Singh, U, Singha, P, Sitorus, RS, Skalet, AH, Soebagjo, HD, Sorochynska, T, Ssali, G, Stacey, AW, Staffieri, SE, Stahl, ED, Stathopoulos, C, Kranjc, BS, Stones, DK, Strahlendorf, C, Suarez, MEC, Sultana, S, Sun, X, Sundy, M, Superstein, R, Supriyadi, E, Surukrattanaskul, S, Suzuki, S, Svojgr, K, Sylla, F, Tamamyan, G, Tan, D, Tandili, A, Tarrillo Leiva, FF, Tashvighi, M, Tateshi, B, Tehuteru, ES, Teixeira, LF, Teh, KH, Theophile, T, Toledano, H, Trang, DL, Traore, F, Trichaiyaporn, S, Tuncer, S, Tyau-Tyau, H, Umar, AB, Unal, E, Uner, OE, Urbak, SF, Ushakova, TL, Usmanov, RH, Valeina, S, Wijsard, MVH, Varadisai, A, Vasquez, L, Vaughan, LO, Veleva-Krasteva, NV, Verma, N, Victor, AA, Viksnins, M, Villacos Chafla, EG, Vishnevskia-Dai, V, Vora, T, Wachtel, AE, Wackernagel, W, Waddell, K, Wade, PD, Wali, AH, Wang, Y-Z, Weiss, A, Wilson, MW, Wime, ADC, Wiwatwongwana, A, Wiwatwongwana, D, Dod, CW, Wongwai, P, Xiang, D, Xiao, Y, Yam, JC, Yang, H, Yanga, JM, Yaqub, MA, Yarovaya, VA, Yarovoy, AA, Ye, H, Yousef, YA, Yuliawati, P, Zapata Lopez, AM, Zein, E, Zhang, C, Zhang, Y, Zhao, J, Zheng, X, Zhilyaeva, K, Zia, N, Ziko, OAO, Zondervan, M, and Bowman, R
- Abstract
IMPORTANCE: Early diagnosis of retinoblastoma, the most common intraocular cancer, can save both a child's life and vision. However, anecdotal evidence suggests that many children across the world are diagnosed late. To our knowledge, the clinical presentation of retinoblastoma has never been assessed on a global scale. OBJECTIVES: To report the retinoblastoma stage at diagnosis in patients across the world during a single year, to investigate associations between clinical variables and national income level, and to investigate risk factors for advanced disease at diagnosis. DESIGN, SETTING, AND PARTICIPANTS: A total of 278 retinoblastoma treatment centers were recruited from June 2017 through December 2018 to participate in a cross-sectional analysis of treatment-naive patients with retinoblastoma who were diagnosed in 2017. MAIN OUTCOMES AND MEASURES: Age at presentation, proportion of familial history of retinoblastoma, and tumor stage and metastasis. RESULTS: The cohort included 4351 new patients from 153 countries; the median age at diagnosis was 30.5 (interquartile range, 18.3-45.9) months, and 1976 patients (45.4%) were female. Most patients (n = 3685 [84.7%]) were from low- and middle-income countries (LMICs). Globally, the most common indication for referral was leukocoria (n = 2638 [62.8%]), followed by strabismus (n = 429 [10.2%]) and proptosis (n = 309 [7.4%]). Patients from high-income countries (HICs) were diagnosed at a median age of 14.1 months, with 656 of 666 (98.5%) patients having intraocular retinoblastoma and 2 (0.3%) having metastasis. Patients from low-income countries were diagnosed at a median age of 30.5 months, with 256 of 521 (49.1%) having extraocular retinoblastoma and 94 of 498 (18.9%) having metastasis. Lower national income level was associated with older presentation age, higher proportion of locally advanced disease and distant metastasis, and smaller proportion of familial history of retinoblastoma. Advanced disease at diagnosis
- Published
- 2020
11. Association of objectively assessed physical activity with total and central body fat in Spanish adolescents; The HELENA Study
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Moliner-Urdiales, D, Ruiz, JR, Ortega, FB, Rey-Lopez, JP, Vicente-Rodriguez, G, España-Romero, V, Munguía-Izquierdo, D, Castillo, MJ, Sjöström, M, and Moreno, LA
- Published
- 2009
12. Measurement of the νμ charged-current quasielastic cross section on carbon with the ND280 detector at T2K
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Abe, K, Adam, J, Aihara, H, Akiri, T, Andreopoulos, C, Aoki, S, Ariga, A, Assylbekov, S, Autiero, D, Barbi, M, Barker, GJ, Barr, G, Bartet-Friburg, P, Bass, M, Batkiewicz, M, Bay, F, Berardi, V, Berger, BE, Berkman, S, Bhadra, S, Blaszczyk, FDM, Blondel, A, Bojechko, C, Bolognesi, S, Bordoni, S, Boyd, SB, Brailsford, D, Bravar, A, Bronner, C, Calland, RG, Caravaca Rodriguez, J, Cartwright, SL, Castillo, R, Catanesi, MG, Cervera, A, Cherdack, D, Chikuma, N, Christodoulou, G, Clifton, A, Coleman, J, Coleman, SJ, Collazuol, G, Connolly, K, Cremonesi, L, Dabrowska, A, De Rosa, G, Danko, I, Das, R, Davis, S, de Perio, P, Dealtry, T, Dennis, SR, Densham, C, Dewhurst, D, Di Lodovico, F, Di Luise, S, Dolan, S, Drapier, O, Duboyski, T, Duffy, K, Dumarchez, J, Dytman, S, Dziewiecki, M, Emery-Schrenk, S, Ereditato, A, Escudero, L, Feusels, T, Finch, AJ, Fiorentini, GA, Friend, M, Fujii, Y, Fukuda, Y, Furmanski, AP, Galymov, V, Garcia, A, Giffin, S, Giganti, C, Gilje, K, Goeldi, D, Golan, T, Gonin, M, Grant, N, Gudin, D, Hadley, DR, Haegel, L, Haesler, A, Haigh, MD, Hamilton, P, Hansen, D, Hara, T, Hartz, M, Hasegawa, T, Hastings, NC, Hayashino, T, Hayato, Y, Hearty, C, Helmer, RL, Hierholzer, M, Hignight, J, Hillairet, A, Himmel, A, Hiraki, T, Hirota, S, Holeczek, J, Horikawa, S, Huang, K, Hosomi, F, Ichikawa, AK, Ieki, K, Ieva, M, Ikeda, M, Imber, J, Insler, J, Intonti, RA, Irvine, TJ, Ishida, T, Ishii, T, Iwai, E, Iwamoto, K, Iyogi, K, Izmaylov, A, Jacob, A, Jamieson, B, Jiang, M, Johnson, S, Jo, JH, Jonsson, P, Jung, CK, Kabirnezhad, M, Kaboth, AC, Kajita, T, Kakuno, H, Kameda, J, Kanazawa, Y, Karlen, D, Karpikov, I, Katori, T, Kearns, E, Khabibullin, M, Khotjantsev, A, Kielczewska, D, Kikawa, T, Kilinski, A, Kim, J, King, S, Kisiel, J, Kitching, P, Kobayashi, T, Koch, L, Kolaceke, A, Koga, T, Konaka, A, Kopylov, A, Kormos, LL, Korzenev, A, Koshio, Y, Kropp, W, Kubo, H, Kudenko, Y, Kurjata, R, Kutter, T, Lagoda, J, Lamont, I, Larkin, E, Laveder, M, Lawe, M, Lazos, M, Lindner, T, Lister, C, Litchfield, RP, Longhin, A, Lopez, JP, Ludovici, L, Magaletti, L, Mahn, K, Malek, M, Manly, S, Marino, AD, Marteau, J, Martin, JF, Martins, P, Martynenko, S, Maruyama, T, Matveev, V, Mavrokoridis, K, Ma, WY, Mazzucato, E, McCarthy, M, McCauley, N, McFarland, KS, McGrew, C, Mefodiev, A, Metelko, C, Mezzetto, M, Mijakowski, P, Miller, CA, Minamino, A, Mineev, O, Mine, S, Missert, A, Miura, M, Moriyama, S, Mueller, Th A, Murakami, A, Murdoch, M, Murphy, S, Myslik, J, Nakadaira, T, Nakahata, M, Nakamura, KG, Nakamura, K, Nakamura, KD, Nakayama, S, Nakaya, T, Nakayoshi, K, Nantais, C, Nielsen, C, Nirkko, M, Nishikawa, K, Nishimura, Y, Nowak, J, O'Keeffe, HM, Ohta, R, Okumura, K, Okusawa, T, Oryszczak, W, Oser, SM, Ovsyannikova, T, Owen, RA, Oyama, Y, Palladino, V, Palomino, JL, Paolone, V, Payne, D, Perevozchikov, O, Perkin, JD, Petrov, Y, Pickard, L, Pickering, L, Guerra, ES Pinzon, Pistillo, C, Plonski, P, Poplawska, E, Popov, B, Posiadala-Zezula, M, Poutissou, J-M, Poutissou, R, Przewlocki, P, Quilain, B, Radicioni, E, Ratoff, PN, Ravonel, M, Rayner, MAM, Redij, A, Reeves, M, Reinherz-Aronis, E, Riccio, C, Rodrigues, PA, Rojas, P, Rondio, E, Roth, S, Rubbia, A, Ruterbories, D, Rychter, A, Sacco, R, Sakashita, K, Sanchez, F, Sato, F, Scantamburlo, E, Scholberg, K, Schoppmann, S, Schwehr, JD, Scott, M, Seiya, Y, Sekiguchi, T, Sekiya, H, Sgalaberna, D, Shah, R, Shaikhiev, A, Shaker, F, Shaw, D, Shiozawa, M, Shirahige, T, Short, S, Shustrov, Y, Sinclair, P, Smith, B, Smy, M, Sobczyk, JT, Sobel, H, Sorel, M, Southwell, L, Stamoulis, P, Steinmann, J, Still, B, Stewart, T, Suda, Y, Suzuki, A, Suzuki, K, Suzuki, SY, Suzuki, Y, Tacik, R, Tada, M, Takahashi, S, Takeda, A, Takeuchi, Y, Tanaka, HK, Tanaka, HA, Tanaka, MM, Terhorst, D, Terri, R, Thompson, LF, Thorley, A, Tobayama, S, Toki, W, Tomura, T, Touramanis, C, Tsukamoto, T, Tzanov, M, Uchida, Y, Vacheret, A, Vagins, M, Vallari, Z, Vasseur, G, Wachala, T, Wakamatsu, K, Walter, CW, Wark, D, Warzycha, W, Wascko, MO, Weber, A, Wendell, R, Wilkes, RJ, Wilking, MJ, Wilkinson, C, Williamson, Z, Wilson, JR, Wilson, RJ, Wongjirad, T, Yamada, Y, Yamamoto, K, Yanagisawa, C, Yano, T, Yen, S, Yershov, N, Yokoyama, M, Yoo, J, Yoshida, K, Yuan, T, Yu, M, Zalewska, A, Zalipska, J, Zambelli, L, Zaremba, K, Ziembicki, M, Zimmerman, ED, Zito, M, Zmuda, J, Abe, K., Adam, J., Aihara, H., Akiri, T., Andreopoulos, C., Aoki, S., Ariga, A., Assylbekov, S., Autiero, D., Barbi, M., Barker, G. J., Barr, G., Bartet-Friburg, P., Bass, M., Batkiewicz, M., Bay, F., Berardi, V., Berger, B. E., Berkman, S., Bhadra, S., Blaszczyk, F. D. M., Blondel, A., Bojechko, C., Bolognesi, S., Bordoni, S., Boyd, S. B., Brailsford, D., Bravar, A., Bronner, C., Calland, R. G., Caravaca Rodríguez, J., Cartwright, S. L., Castillo, R., Catanesi, M. G., Cervera, A., Cherdack, D., Chikuma, N., Christodoulou, G., Clifton, A., Coleman, J., Coleman, S. J., Collazuol, G., Connolly, K., Cremonesi, L., Dabrowska, A., Danko, I., Das, R., Davis, S., De Perio, P., De Rosa, G., Dealtry, T., Dennis, S. R., Densham, C., Dewhurst, D., Di Lodovico, F., Di Luise, S., Dolan, S., Drapier, O., Duboyski, T., Duffy, K., Dumarchez, J., Dytman, S., Dziewiecki, M., Emery-Schrenk, S., Ereditato, A., Escudero, L., Feusels, T., Finch, A. J., Fiorentini, G. A., Fiorillo, G., Friend, M., Fujii, Y., Fukuda, Y., Furmanski, A. P., Galymov, V., Garcia, A., Giffin, S., Giganti, C., Gilje, K., Goeldi, D., Golan, T., Gonin, M., Grant, N., Gudin, D., Hadley, D. R., Haegel, L., Haesler, A., Haigh, M. D., Hamilton, P., Hansen, D., Hara, T., Hartz, M., Hasegawa, T., Hastings, N. C., Hayashino, T., Hayato, Y., Hearty, C., Helmer, R. L., Hierholzer, M., Hignight, J., Hillairet, A., Himmel, A., Hiraki, T., Hirota, S., Holeczek, J., Horikawa, S., Huang, K., Hosomi, F., Ichikawa, A. K., Ieki, K., Ieva, M., Ikeda, M., Imber, J., Insler, J., Intonti, R. A., Irvine, T. J., Ishida, T., Ishii, T., Iwai, E., Iwamoto, K., Iyogi, K., Izmaylov, A., Jacob, A., Jamieson, B., Jiang, M., Johnson, S., Jo, J. H., Jonsson, P., Jung, C. K., Kabirnezhad, M., Kaboth, A. C., Kajita, T., Kakuno, H., Kameda, J., Kanazawa, Y., Karlen, D., Karpikov, I., Katori, T., Kearns, E., Khabibullin, M., Khotjantsev, A., Kielczewska, D., Kikawa, T., Kilinski, A., Kim, J., King, S., Kisiel, J., Kitching, P., Kobayashi, T., Koch, L., Kolaceke, A., Koga, T., Konaka, A., Kopylov, A., Kormos, L. L., Korzenev, A., Koshio, Y., Kropp, W., Kubo, H., Kudenko, Y., Kurjata, R., Kutter, T., Lagoda, J., Lamont, I., Larkin, E., Laveder, M., Lawe, M., Lazos, M., Lindner, T., Lister, C., Litchfield, R. P., Longhin, A., Lopez, J. P., Ludovici, L., Nascimento Machado, L., Magaletti, L., Mahn, K., Malek, M., Manly, S., Marino, A. D., Marteau, J., Martin, J. F., Martins, P., Martynenko, S., Maruyama, T., Matveev, V., Mavrokoridis, K., Ma, W. Y., Mazzucato, E., Mccarthy, M., Mccauley, N., Mcfarland, K. S., Mcgrew, C., Mefodiev, A., Metelko, C., Mezzetto, M., Mijakowski, P., Miller, C. A., Minamino, A., Mineev, O., Mine, S., Missert, A., Miura, M., Moriyama, S., Mueller, Th. A., Murakami, A., Murdoch, M., Murphy, S., Myslik, J., Nakadaira, T., Nakahata, M., Nakamura, K. G., Nakamura, K., Nakamura, K. D., Nakayama, S., Nakaya, T., Nakayoshi, K., Nantais, C., Nielsen, C., Nirkko, M., Nishikawa, K., Nishimura, Y., Nowak, J., O'Keeffe, H. M., Ohta, R., Okumura, K., Okusawa, T., Oryszczak, W., Oser, S. M., Ovsyannikova, T., Owen, R. A., Oyama, Y., Palladino, V., Palomino, J. L., Paolone, V., Payne, D., Perevozchikov, O., Perkin, J. D., Petrov, Y., Pickard, L., Pickering, L., Pinzon Guerra, E. S., Pistillo, C., Plonski, P., Poplawska, E., Popov, B., Posiadala-Zezula, M., Poutissou, J. -M., Poutissou, R., Przewlocki, P., Quilain, B., Radicioni, E., Ratoff, P. N., Ravonel, M., Rayner, M. A. M., Redij, A., Reeves, M., Reinherz-Aronis, E., Riccio, C., Rodrigues, P. A., Rojas, P., Rondio, E., Roth, S., Rubbia, A., Ruggeri, A. C., Ruterbories, D., Rychter, A., Sacco, R., Sakashita, K., Sánchez, F., Sato, F., Scantamburlo, E., Scholberg, K., Schoppmann, S., Schwehr, J. D., Scott, M., Seiya, Y., Sekiguchi, T., Sekiya, H., Sgalaberna, D., Shah, R., Shaikhiev, A., Shaker, F., Shaw, D., Shiozawa, M., Shirahige, T., Short, S., Shustrov, Y., Sinclair, P., Smith, B., Smy, M., Sobczyk, J. T., Sobel, H., Sorel, M., Southwell, L., Stamoulis, P., Steinmann, J., Still, B., Stewart, T., Suda, Y., Suzuki, A., Suzuki, K., Suzuki, S. Y., Suzuki, Y., Tacik, R., Tada, M., Takahashi, S., Takeda, A., Takeuchi, Y., Tanaka, H. K., Tanaka, H. A., Tanaka, M. M., Terhorst, D., Terri, R., Thompson, L. F., Thorley, A., Tobayama, S., Toki, W., Tomura, T., Touramanis, C., Tsukamoto, T., Tzanov, M., Uchida, Y., Vacheret, A., Vagins, M., Vallari, Z., Vasseur, G., Wachala, T., Wakamatsu, K., Walter, C. W., Wark, D., Warzycha, W., Wascko, M. O., Weber, A., Wendell, R., Wilkes, R. J., Wilking, M. J., Wilkinson, C., Williamson, Z., Wilson, J. R., Wilson, R. J., Wongjirad, T., Yamada, Y., Yamamoto, K., Yanagisawa, C., Yano, T., Yen, S., Yershov, N., Yokoyama, M., Yoo, J., Yoshida, K., Yuan, T., Yu, M., Zalewska, A., Zalipska, J., Zambelli, L., Zaremba, K., Ziembicki, M., Zimmerman, E. D., Zito, M., and Żmuda, J.
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Nuclear and High Energy Physics ,High Energy Physics::Experiment - Abstract
This paper reports a measurement by the T2K experiment of the ν μ charged current quasielastic (CCQE) cross section on a carbon target with the off-axis detector based on the observed distribution of muon momentum ( p μ ) and angle with respect to the incident neutrino beam ( θ μ ). The flux-integrated CCQE cross section was measured to be ⟨ σ ⟩ = ( 0.83 ± 0.12 ) × 10 − 38 cm 2 . The energy dependence of the CCQE cross section is also reported. The axial mass, M QE A , of the dipole axial form factor was extracted assuming the Smith-Moniz CCQE model with a relativistic Fermi gas nuclear model. Using the absolute (shape-only) p μ − cos θ μ distribution, the effective M QE A parameter was measured to be 1.2 6 + 0.21 − 0.18 GeV / c 2 ( 1.4 3 + 0.28 − 0.22 GeV / c 2 ).
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- 2019
13. Associations of vigorous physical activity with all-cause, cardiovascular and cancer mortality among 64 913 adults
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Rey Lopez, JP, Gebel, K, Chia, D, Stamatakis, E, Rey Lopez, JP, Gebel, K, Chia, D, and Stamatakis, E
- Abstract
© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. Background Physical activity recommendations state that for the same energy expenditure, moderate-to-vigorous physical activities (MVPAs) produce similar health benefits. However, few epidemiological studies have tested this hypothesis. Design We examined whether, compared with moderate, vigorous activity was associated with larger mortality risk reductions. Methods Data from 11 cohorts of the Health Survey for England and the Scottish Health Survey, collected from 1994 to 2011 (mean (SD) follow-up, 9.0 (3.6) years). Adults aged ≥30 years reported MVPA and linkage to mortality records. Exposure was the proportion of self-reported weighted MVPA through vigorous activity. Outcomes were all-cause, cardiovascular disease (CVD) and cancer mortality. Results Among 64 913 adult respondents (44% men, 56% women, mean (SD) age, 49.8 (13.6) years), there were 5064 deaths from all-causes, 1393 from CVD and 1602 from cancer during 435 743 person-years of follow-up. Compared with those who reported no vigorous physical activity, and holding constant the volume of weighted MVPA, vigorous activity was associated with additional reductions in mortality risk. For all-cause mortality, the adjusted HR was HR=0.84 (95% CI 0.71, 0.99) and HR=0.84 (95% CI 0.76, 0.94) among those who reported between >0% and<30%, or ≥30% of their activity as vigorous, respectively. For CVD and cancer mortality, point estimates showed similar beneficial associations yet CIs were wider and crossed unity. Conclusion Vigorous activities were associated with larger reductions in mortality risk than activities of moderate intensity, but no evidence of dose-response effects was found.
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- 2019
14. Orbital Lymphoma as Cause of Proptosis in Right Eye
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Parada-Vasquez Rh and Medina-Lopez Jp
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medicine.medical_specialty ,business.industry ,Medicine ,Orbital lymphoma ,Radiology ,business ,medicine.disease - Published
- 2017
15. Search for Lorentz and violation using sidereal time dependence of neutrino flavor transitions over a short baseline
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Abe, K, Amey, J, Andreopoulos, C, Antonova, M, Aoki, S, Ariga, A, Assylbekov, S, Autiero, D, Ban, S, Barbato, FCT, Barbi, M, Barker, GJ, Barr, G, Barry, C, Bartet-Friburg, P, Batkiewicz, M, Berardi, V, Berkman, S, Bhadra, S, Bienstock, S, Blondel, A, Bolognesi, S, Bordoni, S, Boyd, SB, Brailsford, D, Bravar, A, Bronner, C, Avanzini, M, Calland, RG, Campbell, T, Cao, S, Cartwright, SL, Castillo, R, Catanesi, MG, Cervera, A, Chappell, A, Checchia, C, Cherdack, D, Chikuma, N, Christodoulou, G, Clifton, A, Coleman, J, Collazuol, G, Coplowe, D, Cremonesi, L, Cudd, A, Dabrowska, A, De Rosa, G, Dealtry, T, Denner, PF, Dennis, SR, Densham, C, Dewhurst, D, Di Lodovico, F, Di Luise, S, Dolan, S, Drapier, O, Duffy, KE, Dumarchez, J, Dunkman, M, Dziewiecki, M, Emery-Schrenk, S, Ereditato, A, Feusels, T, Finch, AJ, Fiorentini, GA, Friend, M, Fujii, Y, Fukuda, D, Fukuda, Y, Furmanski, AP, Galymov, V, Garcia, A, Giffin, SG, Giganti, C, Gizzarelli, F, Golan, T, Gonin, M, Grant, N, Hadley, DR, Haegel, L, Haigh, JT, Hamilton, P, Hansen, D, Harada, J, Hara, T, Hartz, M, Hasegawa, T, Hastings, NC, Hayashino, T, Hayato, Y, Helmer, RL, Hierholzer, M, Hillairet, A, Himmel, A, Hiraki, T, Hiramoto, A, Hirota, S, Hogan, M, Holeczek, J, Hosomi, F, Huang, K, Ichikawa, AK, Ieki, K, Ikeda, M, Imber, J, Insler, J, Intonti, RA, Irvine, TJ, Ishida, T, Ishii, T, Iwai, E, Iwamoto, K, Izmaylov, A, Jacob, A, Jamieson, B, Jiang, M, Johnson, S, Jo, JH, Jonsson, P, Jung, CK, Kabirnezhad, M, Kaboth, AC, Kajita, T, Kakuno, H, Kameda, J, Karlen, D, Karpikov, I, Katori, T, Kearns, E, Khabibullin, M, Khotjantsev, A, Kielczewska, D, Kikawa, T, Kim, H, Kim, J, King, S, Kisiel, J, Knight, A, Knox, A, Kobayashi, T, Koch, L, Koga, T, Konaka, A, Kondo, K, Kopylov, A, Kormos, LL, Korzenev, A, Koshio, Y, Kowalik, K, Kropp, W, Kudenko, Y, Kurjata, R, Kutter, T, Lagoda, J, Lamont, I, Lamoureux, M, Larkin, E, Lasorak, P, Laveder, M, Lawe, M, Lazos, M, Licciardi, M, Lindner, T, Liptak, ZJ, Litchfield, RP, Li, X, Longhin, A, Lopez, JP, Lou, T, Ludovici, L, Lu, X, Magaletti, L, Mahn, K, Malek, M, Manly, S, Maret, L, Marino, AD, Marteau, J, Martin, JF, Martins, P, Martynenko, S, Maruyama, T, Matveev, V, Mavrokoridis, K, Ma, WY, Mazzucato, E, McCarthy, M, McCauley, N, McFarland, KS, McGrew, C, Mefodiev, A, Metelko, C, Mezzetto, M, Mijakowski, P, Minamino, A, Mineev, O, Mine, S, Missert, A, Miura, M, Moriyama, S, Morrison, J, Mueller, TA, Murphy, S, Myslik, J, Nakadaira, T, Nakahata, M, Nakamura, KG, Nakamura, K, Nakamura, KD, Nakanishi, Y, Nakayama, S, Nakaya, T, Nakayoshi, K, Nantais, C, Nielsen, C, Nirkko, M, Nishikawa, K, Nishimura, Y, Novella, P, Nowak, J, O’Keeffe, HM, Ohta, R, Okumura, K, Okusawa, T, Oryszczak, W, Oser, SM, Ovsyannikova, T, Owen, RA, Oyama, Y, Palladino, V, Palomino, JL, Paolone, V, Patel, ND, Paudyal, P, Pavin, M, Payne, D, Perkin, JD, Petrov, Y, Pickard, L, Pickering, L, Guerra, ES, Pistillo, C, Popov, B, Posiadala-Zezula, M, Poutissou, J-M, Poutissou, R, Przewlocki, P, Quilain, B, Radermacher, T, Radicioni, E, Ratoff, PN, Ravonel, M, Rayner, MA, Redij, A, Reinherz-Aronis, E, Riccio, C, Rojas, P, Rondio, E, Rossi, B, Roth, S, Rubbia, A, Ruggeri, AC, Rychter, A, Sacco, R, Sakashita, K, Sánchez, F, Sato, F, Scantamburlo, E, Scholberg, K, Schwehr, J, Scott, M, Seiya, Y, Sekiguchi, T, Sekiya, H, Sgalaberna, D, Shah, R, Shaikhiev, A, Shaker, F, Shaw, D, Shiozawa, M, Shirahige, T, Short, S, Smy, M, Sobczyk, JT, Sobel, H, Sorel, M, Southwell, L, Stamoulis, P, Steinmann, J, Stewart, T, Stowell, P, Suda, Y, Suvorov, S, Suzuki, A, Suzuki, K, Suzuki, SY, Suzuki, Y, Tacik, R, Tada, M, Takahashi, S, Takeda, A, Takeuchi, Y, Tamura, R, Tanaka, HK, Tanaka, HA, Terhorst, D, Terri, R, Thakore, T, Thompson, LF, Tobayama, S, Toki, W, Tomura, T, Touramanis, C, Tsukamoto, T, Tzanov, M, Uchida, Y, Vacheret, A, Vagins, M, Vallari, Z, Vasseur, G, Vilela, C, Vladisavljevic, T, Wachala, T, Wakamatsu, K, Walter, CW, Wark, DL, Warzycha, W, Wascko, MO, Weber, A, Wendell, R, Wilkes, RJ, Wilking, MJ, Wilkinson, C, Wilson, JR, Wilson, RJ, Wret, C, Yamada, Y, Yamamoto, K, Yamamoto, M, Yanagisawa, C, Yano, T, Yen, S, Yershov, N, Yokoyama, M, Yoo, J, Yoshida, K, Yuan, T, Yu, M, Zalewska, A, Zalipska, J, Zambelli, L, Zaremba, K, Ziembicki, M, Zimmerman, ED, Zito, M, and Żmuda, J
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High Energy Physics::Phenomenology ,High Energy Physics::Experiment - Abstract
A class of extensions of the Standard Model allows Lorentz and CPT violations, which can be identified by the observation of sidereal modulations in the neutrino interaction rate. A search for such modulations was performed using the T2K on-axis near detector. Two complementary methods were used in this study, both of which resulted in no evidence of a signal. Limits on associated Lorentz and CPT-violating terms from the Standard Model extension have been derived by taking into account their correlations in this model for the first time. These results imply such symmetry violations are suppressed by a factor of more than 1020 at the GeV scale.
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- 2018
16. Measurement of inclusive double-differential νμ charged-current cross section with improved acceptance in the T2K off-axis near detector
- Author
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Abe, K, Amey, J, Andreopoulos, C, Anthony, L, Antonova, M, Aoki, S, Ariga, A, Ashida, Y, Azuma, Y, Ban, S, Barbi, M, Barker, GJ, Barr, G, Barry, C, Batkiewicz, M, Berardi, V, Berkman, S, Berner, RM, Bhadra, S, Bienstock, S, Blondel, A, Bolognesi, S, Bordoni, S, Bourguille, B, Boyd, SB, Brailsford, D, Bravar, A, Bronner, C, Avanzini, MB, Calcutt, J, Campbell, T, Cao, S, Cartwright, SL, Catanesi, MG, Cervera, A, Chappell, A, Checchia, C, Cherdack, D, Chikuma, N, Christodoulou, G, Coleman, J, Collazuol, G, Coplowe, D, Cudd, A, Dabrowska, A, De Rosa, G, Dealtry, T, Denner, PF, Dennis, SR, Densham, C, Di Lodovico, F, Dolan, S, Drapier, O, Duffy, KE, Dumarchez, J, Dunne, P, Emery-Schrenk, S, Ereditato, A, Feusels, T, Finch, AJ, Fiorentini, GA, Fiorillo, G, Francois, C, Friend, M, Fujii, Y, Fukuda, D, Fukuda, Y, Garcia, A, Giganti, C, Gizzarelli, F, Golan, T, Gonin, M, Hadley, DR, Haegel, L, Haigh, JT, Hamacher-Baumann, P, Hansen, D, Harada, J, Hartz, M, Hasegawa, T, Hastings, NC, Hayashino, T, Hayato, Y, Hiraki, T, Hiramoto, A, Hirota, S, Hogan, M, Holeczek, J, Hosomi, F, Ichikawa, AK, Ikeda, M, Imber, J, Inoue, T, Intonti, RA, Ishida, T, Ishii, T, Iwamoto, K, Izmaylov, A, Jamieson, B, Jiang, M, Johnson, S, Jonsson, P, Jung, CK, Kabirnezhad, M, Kaboth, AC, Kajita, T, Kakuno, H, Kameda, J, Karlen, D, Katori, T, Kearns, E, Khabibullin, M, Khotjantsev, A, Kim, H, Kim, J, King, S, Kisiel, J, Knight, A, Knox, A, Kobayashi, T, Koch, L, Koga, T, Koller, PP, Konaka, A, Kormos, LL, Koshio, Y, Kowalik, K, Kudenko, Y, Kurjata, R, Kutter, T, Labarga, L, Lagoda, J, Lamont, I, Lamoureux, M, Lasorak, P, Laveder, M, Lawe, M, Licciardi, M, Lindner, T, Liptak, ZJ, Litchfield, RP, Li, X, Longhin, A, Lopez, JP, Lou, T, Ludovici, L, Lu, X, Magaletti, L, Mahn, K, Malek, M, Manly, S, Maret, L, Marino, AD, Martin, JF, Martins, P, Martynenko, S, Maruyama, T, Matveev, V, Mavrokoridis, K, Ma, WY, Mazzucato, E, McCarthy, M, McCauley, N, McFarland, KS, McGrew, C, Mefodiev, A, Metelko, C, Mezzetto, M, Minamino, A, Mineev, O, Mine, S, Missert, A, Miura, M, Moriyama, S, Morrison, J, Mueller, TA, Nagai, Y, Nakadaira, T, Nakahata, M, Nakamura, KG, Nakamura, K, Nakamura, KD, Nakanishi, Y, Nakayama, S, Nakaya, T, Nakayoshi, K, Nantais, C, Nielsen, C, Niewczas, K, Nishikawa, K, Nishimura, Y, Novella, P, Nowak, J, O'Keeffe, HM, Okumura, K, Okusawa, T, Oryszczak, W, Oser, SM, Ovsyannikova, T, Owen, RA, Oyama, Y, Palladino, V, Palomino, JL, Paolone, V, Paudyal, P, Pavin, M, Payne, D, Petrov, Y, Pickering, L, Guerra, ESP, Pistillo, C, Popov, B, Posiadala-Zezula, M, Pritchard, A, Przewlocki, P, Quilain, B, Radermacher, T, Radicioni, E, Ratoff, PN, Rayner, MA, Reinherz-Aronis, E, Riccio, C, Rondio, E, Rossi, B, Roth, S, Ruggeri, AC, Rychter, A, Sakashita, K, Sanchez, F, Sasaki, S, Scantamburlo, E, Scholberg, K, Schwehr, J, Scott, M, Seiya, Y, Sekiguchi, T, Sekiya, H, Sgalaberna, D, Shah, R, Shaikhiev, A, Shaker, F, Shaw, D, Shiozawa, M, Smirnov, A, Smy, M, Sobczyk, JT, Sobel, H, Steinmann, J, Stewart, T, Stowell, P, Suda, Y, Suvorov, S, Suzuki, A, Suzuki, SY, Suzuki, Y, Tacik, R, Tada, M, Takeda, A, Takeuchi, Y, Tamura, R, Tanaka, HK, Tanaka, HA, Thakore, T, Thompson, LF, Tobayama, S, Toki, W, Tsukamoto, T, Tzanov, M, Uno, W, Vagins, M, Vallari, Z, Vasseur, G, Vilela, C, Vladisavljevic, T, Wachala, T, Walker, J, Walter, CW, Wang, Y, Wark, D, Wascko, MO, Weber, A, Wendell, R, Wilking, MJ, Wilkinson, C, Wilson, JR, Wilson, RJ, Wret, C, Yamada, Y, Yamamoto, K, Yamasu, S, Yanagisawa, C, Yano, T, Yen, S, Yershov, N, Yokoyama, M, Yu, M, Zalewska, A, Zalipska, J, Zambelli, L, Zaremba, K, Ziembicki, M, Zimmerman, ED, Zito, M, Zykova, A, Collaboration, T, Abe, K., Amey, J., Andreopoulos, C., Anthony, L., Antonova, M., Aoki, S., Ariga, A., Ashida, Y., Azuma, Y., Ban, S., Barbi, M., Barker, G. J., Barr, G., Barry, C., Batkiewicz, M., Berardi, V., Berkman, S., Berner, R. M., Bhadra, S., Bienstock, S., Blondel, A., Bolognesi, S., Bordoni, S., Bourguille, B., Boyd, S. B., Brailsford, D., Bravar, A., Bronner, C., Buizza Avanzini, M., Calcutt, J., Campbell, T., Cao, S., Cartwright, S. L., Catanesi, M. G., Cervera, A., Chappell, A., Checchia, C., Cherdack, D., Chikuma, N., Christodoulou, G., Coleman, J., Collazuol, G., Coplowe, D., Cudd, A., Dabrowska, A., De Rosa, G., Dealtry, T., Denner, P. F., Dennis, S. R., Densham, C., Di Lodovico, F., Dolan, S., Drapier, O., Duffy, K. E., Dumarchez, J., Dunne, P., Emery-Schrenk, S., Ereditato, A., Feusels, T., Finch, A. J., Fiorentini, G. A., Fiorillo, G., Francois, C., Friend, M., Fujii, Y., Fukuda, D., Fukuda, Y., Garcia, A., Giganti, C., Gizzarelli, F., Golan, T., Gonin, M., Hadley, D. R., Haegel, L., Haigh, J. T., Hamacher-Baumann, P., Hansen, D., Harada, J., Hartz, M., Hasegawa, T., Hastings, N. C., Hayashino, T., Hayato, Y., Hiraki, T., Hiramoto, A., Hirota, S., Hogan, M., Holeczek, J., Hosomi, F., Ichikawa, A. K., Ikeda, M., Imber, J., Inoue, T., Intonti, R. A., Ishida, T., Ishii, T., Iwamoto, K., Izmaylov, A., Jamieson, B., Jiang, M., Johnson, S., Jonsson, P., Jung, C. K., Kabirnezhad, M., Kaboth, A. C., Kajita, T., Kakuno, H., Kameda, J., Karlen, D., Katori, T., Kearns, E., Khabibullin, M., Khotjantsev, A., Kim, H., Kim, J., King, S., Kisiel, J., Knight, A., Knox, A., Kobayashi, T., Koch, L., Koga, T., Koller, P. P., Konaka, A., Kormos, L. L., Koshio, Y., Kowalik, K., Kudenko, Y., Kurjata, R., Kutter, T., Labarga, L., Lagoda, J., Lamont, I., Lamoureux, M., Lasorak, P., Laveder, M., Lawe, M., Licciardi, M., Lindner, T., Liptak, Z. J., Litchfield, R. P., Li, X., Longhin, A., Lopez, J. P., Lou, T., Ludovici, L., Lu, X., Magaletti, L., Mahn, K., Malek, M., Manly, S., Maret, L., Marino, A. D., Martin, J. F., Martins, P., Martynenko, S., Maruyama, T., Matveev, V., Mavrokoridis, K., Ma, W. Y., Mazzucato, E., Mccarthy, M., Mccauley, N., Mcfarland, K. S., Mcgrew, C., Mefodiev, A., Metelko, C., Mezzetto, M., Minamino, A., Mineev, O., Mine, S., Missert, A., Miura, M., Moriyama, S., Morrison, J., Mueller, Th. A., Nagai, Y., Nakadaira, T., Nakahata, M., Nakamura, K. G., Nakamura, K., Nakamura, K. D., Nakanishi, Y., Nakayama, S., Nakaya, T., Nakayoshi, K., Nantais, C., Nielsen, C., Niewczas, K., Nishikawa, K., Nishimura, Y., Novella, P., Nowak, J., O'Keeffe, H. M., Okumura, K., Okusawa, T., Oryszczak, W., Oser, S. M., Ovsyannikova, T., Owen, R. A., Oyama, Y., Palladino, V., Palomino, J. L., Paolone, V., Paudyal, P., Pavin, M., Payne, D., Petrov, Y., Pickering, L., Pinzon Guerra, E. S., Pistillo, C., Popov, B., Posiadala-Zezula, M., Pritchard, A., Przewlocki, P., Quilain, B., Radermacher, T., Radicioni, E., Ratoff, P. N., Rayner, M. A., Reinherz-Aronis, E., Riccio, C., Rondio, E., Rossi, B., Roth, S., Ruggeri, A. C., Rychter, A., Sakashita, K., Sánchez, F., Sasaki, S., Scantamburlo, E., Scholberg, K., Schwehr, J., Scott, M., Seiya, Y., Sekiguchi, T., Sekiya, H., Sgalaberna, D., Shah, R., Shaikhiev, A., Shaker, F., Shaw, D., Shiozawa, M., Smirnov, A., Smy, M., Sobczyk, J. T., Sobel, H., Steinmann, J., Stewart, T., Stowell, P., Suda, Y., Suvorov, S., Suzuki, A., Suzuki, S. Y., Suzuki, Y., Tacik, R., Tada, M., Takeda, A., Takeuchi, Y., Tamura, R., Tanaka, H. K., Tanaka, H. A., Thakore, T., Thompson, L. F., Tobayama, S., Toki, W., Tsukamoto, T., Tzanov, M., Uno, W., Vagins, M., Vallari, Z., Vasseur, G., Vilela, C., Vladisavljevic, T., Wachala, T., Walker, J., Walter, C. W., Wang, Y., Wark, D., Wascko, M. O., Weber, A., Wendell, R., Wilking, M. J., Wilkinson, C., Wilson, J. R., Wilson, R. J., Wret, C., Yamada, Y., Yamamoto, K., Yamasu, S., Yanagisawa, C., Yano, T., Yen, S., Yershov, N., Yokoyama, M., Yu, M., Zalewska, A., Zalipska, J., Zambelli, L., Zaremba, K., Ziembicki, M., Zimmerman, E. D., Zito, M., and Zykova, A.
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Physics and Astronomy (miscellaneous) ,High Energy Physics - Experiment - Abstract
We report a measurement of the flux-integrated cross section for inclusive muon neutrino charged-current interactions on carbon. The double-differential measurements are given as a function of the muon momentum and angle. Relative to our previous publication on this topic, these results have an increased angular acceptance and higher statistics. The data sample presented here corresponds to 5.7×1020 protons on target. The total flux-integrated cross section is measured to be (6.950±0.662)×10−39 cm2 nucleon−1 and is consistent with our simulation.
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- 2018
17. Measurement of the single $\pi^0$ production rate in neutral current neutrino interactions on water
- Author
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Abe, K, Amey, J, Andreopoulos, C, Antonova, M, Aoki, S, Ariga, A, Ashida, Y, Assylbekov, S, Autiero, D, Ban, S, Barbi, M, Barker, GJ, Barr, G, Barry, C, Bartet-Friburg, P, Batkiewicz, M, Berardi, V, Berkman, S, Bhadra, S, Bienstock, S, Blondel, A, Bolognesi, S, Bordoni, S, Boyd, SB, Brailsford, D, Bravar, A, Bronner, C, Avanzini, MB, Calland, RG, Campbell, T, Cao, S, Cartwright, SL, Castillo, R, Catanesi, MG, Cervera, A, Chappell, A, Checchia, C, Cherdack, D, Chikuma, N, Christodoulou, G, Clifton, A, Coleman, J, Collazuol, G, Coplowe, D, Cremonesi, L, Cudd, A, Dabrowska, A, De Rosa, G, Dealtry, T, Denner, PF, Dennis, SR, Densham, C, Dewhurst, D, Di Lodovico, F, Di Luise, S, Dolan, S, Drapier, O, Duffy, KE, Dumarchez, J, Dunkman, M, Dunne, P, Dziewiecki, M, Emery-Schrenk, S, Ereditato, A, Feusels, T, Finch, AJ, Fiorentini, GA, Friend, M, Fujii, Y, Fukuda, D, Fukuda, Y, Furmanski, AP, Galymov, V, Garcia, A, Giffin, SG, Giganti, C, Gilje, K, Gizzarelli, F, Golan, T, Gonin, M, Grant, N, Hadley, DR, Haegel, L, Haigh, JT, Hamilton, P, Hansen, D, Harada, J, Hara, T, Hartz, M, Hasegawa, T, Hastings, NC, Hayashino, T, Hayato, Y, Helmer, RL, Hierholzer, M, Hillairet, A, Himmel, A, Hiraki, T, Hiramoto, A, Hirota, S, Hogan, M, Holeczek, J, Hosomi, F, Huang, K, Ichikawa, AK, Ieki, K, Ikeda, M, Imber, J, Insler, J, Intonti, RA, Irvine, TJ, Ishida, T, Ishii, T, Iwai, E, Iwamoto, K, Izmaylov, A, Jacob, A, Jamieson, B, Jiang, M, Johnson, S, Jo, JH, Jonsson, P, Jung, CK, Kabirnezhad, M, Kaboth, AC, Kajita, T, Kakuno, H, Kameda, J, Karlen, D, Karpikov, I, Katori, T, Kearns, E, Khabibullin, M, Khotjantsev, A, Kielczewska, D, Kikawa, T, Kim, H, Kim, J, King, S, Kisiel, J, Knight, A, Knox, A, Kobayashi, T, Koch, L, Koga, T, Koller, PP, Konaka, A, Kondo, K, Kopylov, A, Kormos, LL, Korzenev, A, Koshio, Y, Kowalik, K, Kropp, W, Kudenko, Y, Kurjata, R, Kutter, T, Lagoda, J, Lamont, I, Lamoureux, M, Larkin, E, Lasorak, P, Laveder, M, Lawe, M, Lazos, M, Licciardi, M, Lindner, T, Liptak, ZJ, Litchfield, RP, Li, X, Longhin, A, Lopez, JP, Lou, T, Ludovici, L, Lu, X, Magaletti, L, Mahn, K, Malek, M, Manly, S, Maret, L, Marino, AD, Marteau, J, Martin, JF, Martins, P, Martynenko, S, Maruyama, T, Matveev, V, Mavrokoridis, K, Ma, WY, Mazzucato, E, McCarthy, M, McCauley, N, McFarland, KS, McGrew, C, Mefodiev, A, Metelko, C, Mezzetto, M, Mijakowski, P, Minamino, A, Mineev, O, Mine, S, Missert, A, Miura, M, Moriyama, S, Morrison, J, Mueller, TA, Murphy, S, Myslik, J, Nakadaira, T, Nakahata, M, Nakamura, KG, Nakamura, K, Nakamura, KD, Nakanishi, Y, Nakayama, S, Nakaya, T, Nakayoshi, K, Nantais, C, Nielsen, C, Nirkko, M, Nishikawa, K, Nishimura, Y, Novella, P, Nowak, J, O'Keeffe, HM, Ohta, R, Okumura, K, Okusawa, T, Oryszczak, W, Oser, SM, Ovsyannikova, T, Owen, RA, Oyama, Y, Palladino, V, Palomino, JL, Paolone, V, Patel, ND, Paudyal, P, Pavin, M, Payne, D, Perkin, JD, Petrov, Y, Pickard, L, Pickering, L, Guerra, ESP, Pistillo, C, Popov, B, Posiadala-Zezula, M, Poutissou, J-M, Poutissou, R, Pritchard, A, Przewlocki, P, Quilain, B, Radermacher, T, Radicioni, E, Ratoff, PN, Ravonel, M, Rayner, MA, Redij, A, Reinherz-Aronis, E, Riccio, C, Rojas, P, Rondio, E, Rossi, B, Roth, S, Rubbia, A, Ruggeri, AC, Rychter, A, Sacco, R, Sakashita, K, Sanchez, F, Sato, F, Scantamburlo, E, Scholberg, K, Schwehr, J, Scott, M, Seiya, Y, Sekiguchi, T, Sekiya, H, Sgalaberna, D, Shah, R, Shaikhiev, A, Shaker, F, Shaw, D, Shiozawa, M, Shirahige, T, Short, S, Smy, M, Sobczyk, JT, Sobel, H, Sorel, M, Southwell, L, Stamoulis, P, Steinmann, J, Stewart, T, Stowell, P, Suda, Y, Suvorov, S, Suzuki, A, Suzuki, K, Suzuki, SY, Suzuki, Y, Tacik, R, Tada, M, Takahashi, S, Takeda, A, Takeuchi, Y, Tamura, R, Tanaka, HK, Tanaka, HA, Terhorst, D, Terri, R, Thakore, T, Thompson, LF, Tobayama, S, Toki, W, Tomura, T, Touramanis, C, Tsukamoto, T, Tzanov, M, Uchida, Y, Vacheret, A, Vagins, M, Vallari, Z, Vasseur, G, Vilela, C, Vladisavljevic, T, Wachala, T, Wakamatsu, K, Walter, CW, Wark, D, Warzycha, W, Wascko, MO, Weber, A, Wendell, R, Wilkes, RJ, Wilking, MJ, Wilkinson, C, Wilson, JR, Wilson, RJ, Wret, C, Yamada, Y, Yamamoto, K, Yamamoto, M, Yanagisawa, C, Yano, T, Yen, S, Yershov, N, Yokoyama, M, Yoo, J, Yoshida, K, Yuan, T, Yu, M, Zalewska, A, Zalipska, J, Zambelli, L, Zaremba, K, Ziembicki, M, Zimmerman, ED, Zito, M, Zmuda, J, Collaboration, T, Institut de Physique Nucléaire de Lyon (IPNL), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire Leprince-Ringuet (LLR), Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), T2K, Abe, K., T2K Collaboration, Blondel, Alain, Bravar, Alessandro, Haegel, Leïla, Korzenev, Alexander, Maret, Lucie, Ravonel Salzgeber, Melody, Rayner, Mark, Scantamburlo, Enrico, Sgalaberna, Davide, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Institut de Physique Nucléaire de Lyon ( IPNL ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de Physique Nucléaire et de Hautes Énergies ( LPNHE ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Recherches sur les lois Fondamentales de l'Univers ( IRFU ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay, Laboratoire Leprince-Ringuet ( LLR ), Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -École polytechnique ( X ) -Centre National de la Recherche Scientifique ( CNRS ), and Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Nutrino physics ,neutral current ,Physics::Instrumentation and Detectors ,neutrinoproduction [pi0] ,Astrophysics::High Energy Astrophysical Phenomena ,water ,pi0: neutrinoproduction ,cross section: ratio ,ddc:500.2 ,KAMIOKANDE ,Astronomy & Astrophysics ,Physics, Particles & Fields ,High Energy Physics - Experiment ,pi0: momentum spectrum ,energy: interaction ,mass spectrum ,near detector ,neutrino: energy ,[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex] ,secondary beam [neutrino/mu] ,[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] ,ddc:530 ,Nuclear Experiment ,DETECTOR ,Science & Technology ,hep-ex ,Physics ,momentum spectrum [pi0] ,J-PARC Lab ,interaction [neutrino nucleus] ,neutrino nucleus: inclusive reaction ,Monte Carlo [numerical calculations] ,neutrino nucleus: interaction ,neutrino/mu: secondary beam ,energy [neutrino] ,Physical Sciences ,inclusive reaction [neutrino nucleus] ,High Energy Physics::Experiment ,ratio [cross section] ,interaction [energy] ,numerical calculations: Monte Carlo ,experimental results - Abstract
The single $\pi^0$ production rate in neutral current neutrino interactions on water in a neutrino beam with a peak neutrino energy of 0.6 GeV has been measured using the P{\O}D, one of the subdetectors of the T2K near detector. The production rate was measured for data taking periods when the P{\O}D contained water ($2.64\times{}10^{20}$ protons-on-target) and also periods without water ($3.49 \times 10^{20}$ protons-on-target). A measurement of the neutral current single $\pi^0$ production rate on water is made using appropriate subtraction of the production rate with water in from the rate with water out of the target region. The subtraction analysis yields 106 $\pm$ 41 (stat.) $\pm$ 69 (sys.) signal events, which is consistent with the prediction of 157 events from the nominal simulation. The measured to expected ratio is 0.68 $\pm$ 0.26 (stat.) $\pm$ 0.44 (sys.) $\pm$ 0.12 (flux). The nominal simulation uses a flux integrated cross section of $7.63\times{}10^{-39}$ cm${}^2$ per nucleon with an average neutrino interaction energy of 1.3 GeV., Comment: 16 pages, 7 figures
- Published
- 2018
18. Can differences in physical activity by socio-economic status in European adolescents be explained by differences in psychosocial correlates? A mediation analysis within the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study
- Author
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De Cocker, Katrien, Artero, Enrique G., De Henauw, Stefaan, Dietrich, Sabine, Gottrand, Frédéric, Béghin, Laurent, Hagströmer, Maria, Sjöström, Michael, Plada, Maria, Manios, Yannis, Mauro, Beatrice, Molnár, Dénes, Moreno, Luis A., Ottevaere, Charlene, Valtueña, Jara, Maes, Lea, De Bourdeaudhuij, Ilse, Moreno LA, Gottrand F, De Henauw S, Gonzalez Gross M, Gilbert C, Kafatos A, Libersa C, Sanchez J, Kersting M, Sjostrom M, Molnar D, Dallongeville J, Hall G, Maes L, Scalfi L, Melendez P, Fleta J, Casajus JA, Rodrıguez G, Tomas C, Mesana MI, Vicente Rodrıguez G, Villarroya A, Gil CM, Ara I, Revenga J, Lachen C, Alvira JF, Bueno G, Lazaro A, Bueno O, Leon JF, Garagorri JM, Bueno M, Lopez JP, Iglesia I, Velasco P, Bel S, Marcos A, Warnberg J, Nova E, Gomez S, Dıaz EL, Romeo J, Veses A, Puertollano MA, Zapatera B, Pozo T, Beghin L, Iliescu C, Von Berlepsch J, Sichert Hellert W, Koeppen E, Erhardt E, Csernus K, Torok K, Bokor S, Nagy E, Kovacs O, Repasi J, Codrington C, Plada M, Angeliki P, Viskadourou A, Hatzis C, Kiriakakis M, Tsibinos G, Vardavas C, Sbokos M, Protoyeraki E, Fasoulaki M, Stehle P, Pietrzik K, Breidenassel C, Spinneker A, Al Tahan J, Segoviano M, Berchtold A, Bierschbach C, Blatzheim E, Schuch A, Pickert P, Castillo MJ, Gutierrez A, Ortega FB, Ruiz JR, Artero EG, Romero VE, Pavon DJ, Chillon P, Arcella D, Azzini E, Barrison E, Bevilacqua N, Buonocore P, Catasta G, Censi L, Ciarapica D, Ferrari M, Galfo M, Donne CL, Leclercq C, Maiani G, Mauro B, Mistura L, Pasquali A, Piccinelli R, Polito A, Spada R, Sette S, Zaccaria M, Montagnese C, De Bourdeaudhuij I, De Vriendt, Vereecken C, de Maeyer M, Ottevaere C, Huybrechts I, Widhalm K, Phillipp K, Dietrich S, Kubelka B, Boriss Riedl M, Manios Y, Grammatikaki E, Bouloubasi Z, Cook TL, Consta O, Papadantonaki E, Moschonis G, Katsaroli I, Kraniou G, Papoutsou S, Keke D, Petraki I, Bellou E, Kallianoti K, Argyropoulou D, Kondaki K, Tsikrika S, Karaiskos C, Meirhaeghe A, Bergman P, Hagstromer M, Hallstrom L, Hallberg M, Poortvliet E, Rizzo N, Beckman L, Wennlof AH, Patterson E, Kwak L, Cernerud L, Tillgren P, Sorensen S, Sanchez Molero J, Pico E, Navarro M, Viadel B, Carreres JE, Merino G, Sanjuan R, Lorente M, Sanchez MJ, Castello S, Thomas S, Allchurch E, Burguess P, Astrom A, Sverken A, Broberg A, Masson A, Lehoux C, Brabant P, Pate P, Fontaine L, Sebok A, Kuti T, Hegyi A, Maldonado C, Llorente A, Garcıa E, von Fircks H, Hallberg ML, Messerer M, Larsson M, Fredriksson H, Adamsson V, Borjesson I, Fernandez L, Smillie L, Wills J, Valtuena J, Jimenez Pavon D, Albers U, Pedrero R, Melendez A, Benito PJ, Lorente JJ, Canada D, Urzanqui A, Torres RM, Navarro P., VITAGLIONE, PAOLA, De Cocker, Katrien, Artero, Enrique G., De Henauw, Stefaan, Dietrich, Sabine, Gottrand, Frédéric, Béghin, Laurent, Hagströmer, Maria, Sjöström, Michael, Plada, Maria, Manios, Yanni, Mauro, Beatrice, Molnár, Déne, Moreno, Luis A., Ottevaere, Charlene, Valtueña, Jara, Maes, Lea, De Bourdeaudhuij, Ilse, Moreno, La, Gottrand, F, De Henauw, S, Gonzalez Gross, M, Gilbert, C, Kafatos, A, Libersa, C, Sanchez, J, Kersting, M, Sjostrom, M, Molnar, D, Dallongeville, J, Hall, G, Maes, L, Scalfi, L, Melendez, P, Fleta, J, Casajus, Ja, Rodrıguez, G, Tomas, C, Mesana, Mi, Vicente Rodrıguez, G, Villarroya, A, Gil, Cm, Ara, I, Revenga, J, Lachen, C, Alvira, Jf, Bueno, G, Lazaro, A, Bueno, O, Leon, Jf, Garagorri, Jm, Bueno, M, Lopez, Jp, Iglesia, I, Velasco, P, Bel, S, Marcos, A, Warnberg, J, Nova, E, Gomez, S, Dıaz, El, Romeo, J, Veses, A, Puertollano, Ma, Zapatera, B, Pozo, T, Beghin, L, Iliescu, C, Von Berlepsch, J, Sichert Hellert, W, Koeppen, E, Erhardt, E, Csernus, K, Torok, K, Bokor, S, Nagy, E, Kovacs, O, Repasi, J, Codrington, C, Plada, M, Angeliki, P, Viskadourou, A, Hatzis, C, Kiriakakis, M, Tsibinos, G, Vardavas, C, Sbokos, M, Protoyeraki, E, Fasoulaki, M, Stehle, P, Pietrzik, K, Breidenassel, C, Spinneker, A, Al Tahan, J, Segoviano, M, Berchtold, A, Bierschbach, C, Blatzheim, E, Schuch, A, Pickert, P, Castillo, Mj, Gutierrez, A, Ortega, Fb, Ruiz, Jr, Artero, Eg, Romero, Ve, Pavon, Dj, Chillon, P, Arcella, D, Azzini, E, Barrison, E, Bevilacqua, N, Buonocore, P, Catasta, G, Censi, L, Ciarapica, D, Ferrari, M, Galfo, M, Donne, Cl, Leclercq, C, Maiani, G, Mauro, B, Mistura, L, Pasquali, A, Piccinelli, R, Polito, A, Spada, R, Sette, S, Zaccaria, M, Vitaglione, Paola, Montagnese, C, De Bourdeaudhuij, I, De, Vriendt, Vereecken, C, de Maeyer, M, Ottevaere, C, Huybrechts, I, Widhalm, K, Phillipp, K, Dietrich, S, Kubelka, B, Boriss Riedl, M, Manios, Y, Grammatikaki, E, Bouloubasi, Z, Cook, Tl, Consta, O, Papadantonaki, E, Moschonis, G, Katsaroli, I, Kraniou, G, Papoutsou, S, Keke, D, Petraki, I, Bellou, E, Kallianoti, K, Argyropoulou, D, Kondaki, K, Tsikrika, S, Karaiskos, C, Meirhaeghe, A, Bergman, P, Hagstromer, M, Hallstrom, L, Hallberg, M, Poortvliet, E, Rizzo, N, Beckman, L, Wennlof, Ah, Patterson, E, Kwak, L, Cernerud, L, Tillgren, P, Sorensen, S, Sanchez Molero, J, Pico, E, Navarro, M, Viadel, B, Carreres, Je, Merino, G, Sanjuan, R, Lorente, M, Sanchez, Mj, Castello, S, Thomas, S, Allchurch, E, Burguess, P, Astrom, A, Sverken, A, Broberg, A, Masson, A, Lehoux, C, Brabant, P, Pate, P, Fontaine, L, Sebok, A, Kuti, T, Hegyi, A, Maldonado, C, Llorente, A, Garcıa, E, von Fircks, H, Hallberg, Ml, Messerer, M, Larsson, M, Fredriksson, H, Adamsson, V, Borjesson, I, Fernandez, L, Smillie, L, Wills, J, Valtuena, J, Jimenez Pavon, D, Albers, U, Pedrero, R, Melendez, A, Benito, Pj, Lorente, Jj, Canada, D, Urzanqui, A, Torres, Rm, and Navarro, P.
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Male ,Adolescent ,Cross-sectional study ,Health Behavior ,Psychological intervention ,Medicine (miscellaneous) ,Intention ,Socioeconomic Factor ,Social class ,Social support ,Nutrition and Dietetic ,Humans ,Medicine ,Social inequality ,Child ,Exercise ,Life Style ,Socioeconomic status ,Cross-Sectional Studie ,Self-efficacy ,Nutrition and Dietetics ,Family wealth ,business.industry ,Public Health, Environmental and Occupational Health ,Awarene ,Social Support ,Awareness ,Mediating effect ,Self Efficacy ,Adolescence ,Social Cla ,Europe ,Cross-Sectional Studies ,Social Class ,Socioeconomic Factors ,Female ,Self Report ,business ,Psychosocial ,Human ,Demography - Abstract
ObjectiveSocio-economic status (SES) has been positively associated with physical activity (PA) levels in adolescents. In order to tackle these social inequalities, information is needed about the underlying mechanisms of this association. The present study aimed to investigate the potential mediating role of psychosocial correlates of PA on the relationship between SES and PA in European adolescents.DesignCross-sectional study testing the mediating role of psychosocial correlates in the SES–PA association using the product-of-coefficients test of MacKinnon.SettingTen European cities in nine different countries, the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study.SubjectsAdolescents (n 2780) aged 12·5–17·49 years self-reported on PA (moderate-to-vigorous intensity PA and total PA), SES indicators (education of the mother and Family Affluence Scale) and psychosocial correlates of PA (stage of change, attitudes, awareness, modelling, social support, self-efficacy, benefits, barriers and environmental correlates).ResultsSES (Family Affluence Scale) was significantly associated with moderate-to-vigorous intensity PA. According to single-mediator models, this association was significantly mediated by stage of change (t = 3·6, P ≤ 0·001), awareness (t = 2·7, 0·001 < P ≤ 0·01), modelling (t = 4·8, P ≤ 0·001), self-efficacy (t = 2·5, 0·01
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- 2012
19. Updated T2K measurements of muon neutrino and antineutrino disappearance using 1.5 x 10(21) protons on target
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Abe, K, Amey, J, Andreopoulos, C, Antonova, M, Aoki, S, Ariga, A, Ashida, Y, Autiero, D, Ban, S, Barbi, M, Barker, GJ, Barr, G, Barry, C, Bartet-Friburg, P, Batkiewicz, M, Berardi, V, Berkman, S, Bhadra, S, Bienstock, S, Blondel, A, Bolognesi, S, Bordoni, S, Boyd, SB, Brailsford, D, Bravar, A, Bronner, C, Avanzini, MB, Calland, RG, Campbell, T, Cao, S, Cartwright, SL, Catanesi, MG, Cervera, A, Chappell, A, Checchia, C, Cherdack, D, Chikuma, N, Christodoulou, G, Clifton, A, Coleman, J, Collazuol, G, Coplowe, D, Cudd, A, Dabrowska, A, De Rosa, G, Dealtry, T, Denner, PF, Dennis, SR, Densham, C, Dewhurst, D, Di Lodovico, F, Dolan, S, Drapier, O, Duffy, KE, Dumarchez, J, Dunne, P, Dziewiecki, M, Emery-Schrenk, S, Ereditato, A, Feusels, T, Finch, AJ, Fiorentini, GA, Friend, M, Fujii, Y, Fukuda, D, Fukuda, Y, Galymov, V, Garcia, A, Giganti, C, Gizzarelli, F, Golan, T, Gonin, M, Hadley, DR, Haegel, L, Haigh, JT, Hansen, D, Harada, J, Hartz, M, Hasegawa, T, Hastings, NC, Hayashino, T, Hayato, Y, Helmer, RL, Hillairet, A, Hiraki, T, Hiramoto, A, Hirota, S, Hogan, M, Holeczek, J, Hosomi, F, Huang, K, Ichikawa, AK, Ikeda, M, Imber, J, Insler, J, Intonti, RA, Ishida, T, Ishii, T, Iwai, E, Iwamoto, K, Izmaylov, A, Jamieson, B, Jiang, M, Johnson, S, Jonsson, P, Jung, CK, Kabirnezhad, M, Kaboth, AC, Kajita, T, Kakuno, H, Kameda, J, Karlen, D, Katori, T, Kearns, E, Khabibullin, M, Khotjantsev, A, Kim, H, Kim, J, King, S, Kisiel, J, Knight, A, Knox, A, Kobayashi, T, Koch, L, Koga, T, Koller, PP, Konaka, A, Kormos, LL, Korzenev, A, Koshio, Y, Kowalik, K, Kropp, W, Kudenko, Y, Kurjata, R, Kutter, T, Lagoda, J, Lamont, I, Lamoureux, M, Larkin, E, Lasorak, P, Laveder, M, Lawe, M, Licciardi, M, Lindner, T, Liptak, ZJ, Litchfield, RP, Li, X, Longhin, A, Lopez, JP, Lou, T, Ludovici, L, Lu, X, Magaletti, L, Mahn, K, Malek, M, Manly, S, Maret, L, Marino, AD, Martin, JF, Martins, P, Martynenko, S, Maruyama, T, Matveev, V, Mavrokoridis, K, Ma, WY, Mazzucato, E, McCarthy, M, McCauley, N, McFarland, KS, McGrew, C, Mefodiev, A, Metelko, C, Mezzetto, M, Mijakowski, P, Minamino, A, Mineev, O, Mine, S, Missert, A, Miura, M, Moriyama, S, Morrison, J, Mueller, TA, Myslik, J, Nakadaira, T, Nakahata, M, Nakamura, KG, Nakamura, K, Nakamura, KD, Nakanishi, Y, Nakayama, S, Nakaya, T, Nakayoshi, K, Nantais, C, Nielsen, C, Nirkko, M, Nishikawa, K, Nishimura, Y, Novella, P, Nowak, J, O'Keeffe, HM, Okumura, K, Okusawa, T, Oryszczak, W, Oser, SM, Ovsyannikova, T, Owen, RA, Oyama, Y, Palladino, V, Palomino, JL, Paolone, V, Patel, ND, Paudyal, P, Pavin, M, Payne, D, Perkin, JD, Petrov, Y, Pickard, L, Pickering, L, Guerra, ESP, Pistillo, C, Popov, B, Posiadala-Zezula, M, Poutissou, J-M, Poutissou, R, Pritchard, A, Przewlocki, P, Quilain, B, Radermacher, T, Radicioni, E, Ratoff, PN, Ravonel, M, Rayner, MA, Redij, A, Reinherz-Aronis, E, Riccio, C, Rondio, E, Rossi, B, Roth, S, Rubbia, A, Ruggeri, AC, Rychter, A, Sakashita, K, Sanchez, F, Scantamburlo, E, Scholberg, K, Schwehr, J, Scott, M, Seiya, Y, Sekiguchi, T, Sekiya, H, Sgalaberna, D, Shah, R, Shaikhiev, A, Shaker, F, Shaw, D, Shiozawa, M, Shirahige, T, Short, S, Smy, M, Sobczyk, JT, Sobel, H, Sorel, M, Southwell, L, Steinmann, J, Stewart, T, Stowell, P, Suda, Y, Suvorov, S, Suzuki, A, Suzuki, SY, Suzuki, Y, Tacik, R, Tada, M, Takeda, A, Takeuchi, Y, Tamura, R, Tanaka, HK, Tanaka, HA, Terhorst, D, Terri, R, Thakore, T, Thompson, LF, Tobayama, S, Toki, W, Tomura, T, Touramanis, C, Tsukamoto, T, Tzanov, M, Uchida, Y, Vagins, M, Vallari, Z, Vasseur, G, Vilela, C, Vladisavljevic, T, Wachala, T, Walter, CW, Wark, D, Wascko, MO, Weber, A, Wendell, R, Wilkes, RJ, Wilking, MJ, Wilkinson, C, Wilson, JR, Wilson, RJ, Wret, C, Yamada, Y, Yamamoto, K, Yamamoto, M, Yanagisawa, C, Yano, T, Yen, S, Yershov, N, Yokoyama, M, Yoshida, K, Yuan, T, Yu, M, Zalewska, A, Zalipska, J, Zambelli, L, Zaremba, K, Ziembicki, M, Zimmerman, ED, Zito, M, Zmuda, J, and Science and Technology Facilities Council (STFC)
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SUPER-KAMIOKANDE DETECTOR ,SUPER KAMIOKANDE DETECTOR, AXIS ,Science & Technology ,hep-ex ,SUPER KAMIOKANDE DETECTOR ,Physics ,Physical Sciences ,AXIS ,Astronomy & Astrophysics ,Physics, Particles & Fields - Abstract
We report measurements by the T2K experiment of the parameters θ 23 and Δ m 2 32 governing the disappearance of muon neutrinos and antineutrinos in the three-flavor neutrino oscillation model. Utilizing the ability of the experiment to run with either a mainly neutrino or a mainly antineutrino beam, the parameters are measured separately for neutrinos and antineutrinos. Using 7.482 × 1 0 20 POT in neutrino running mode and 7.471 × 1 0 20 POT in antineutrino mode, T2K obtained sin 2 ( θ 23 ) = 0.5 1 + 0.08 − 0.07 and Δ m 2 32 = 2.5 3 + 0.15 − 0.13 × 10 − 3 eV 2 / c 4 for neutrinos, and sin 2 ( ¯ θ 23 ) = 0.4 2 + 0.25 − 0.07 and Δ ¯ m 2 32 = 2.5 5 + 0.33 − 0.27 × 10 − 3 eV 2 / c 4 for antineutrinos (assuming normal mass ordering). No significant differences between the values of the parameters describing the disappearance of muon neutrinos and antineutrinos were observed.
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- 2017
20. Long-Baseline Neutrino Facility (LBNF) and Deep Underground Neutrino Experiment (DUNE) Conceptual Design Report, Volume 4 The DUNE Detectors at LBNF
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Acciarri, R, Acero, MA, Adamowski, M, Adams, C, Adamson, P, Adhikari, S, Ahmad, Z, Albright, CH, Alion, T, Amador, E, Anderson, J, Anderson, K, Andreopoulos, C, Andrews, M, Andrews, R, Anghel, I, Anjos, JD, Ankowski, A, Antonello, M, ArandaFernandez, A, Ariga, A, Ariga, T, Aristizabal, D, Arrieta-Diaz, E, Aryal, K, Asaadi, J, Asner, D, Athar, MS, Auger, M, Aurisano, A, Aushev, V, Autiero, D, Avila, M, Back, JJ, Bai, X, Baibussinov, B, Baird, M, Balantekin, AB, Baller, B, Ballett, P, Bambah, B, Bansal, M, Bansal, S, Barker, GJ, Barletta, WA, Barr, G, Barros, N, Bartoszek, L, Bashyal, A, Bass, M, Bay, F, Beacom, J, Behera, BR, Bellettini, G, Bellini, V, Beltramello, O, Benetti, PA, Bercellie, A, Bergevin, M, Berman, E, Berns, H, Bernstein, R, Bertolucci, S, Bhandari, B, Bhatnagar, V, Bhuyan, B, Bian, J, Biery, K, Bishai, M, Blackburn, T, Blake, A, Blaszczyk, FDM, Blaufuss, E, Bleakley, B, Blucher, E, Bocean, V, Boffelli, F, Boissevain, J, Bolognesi, S, Bolton, T, Bonesini, M, Boone, T, Booth, C, Bordoni, S, Borysova, M, Bourguille, B, Boyd, SB, Brailsford, D, Brandt, A, Bremer, J, Brice, S, Bromberg, C, Brooijmans, G, Brown, G, Brown, R, Brunetti, G, Bu, X, Buchanan, N, Budd, H, Bugg, B, Calafiura, P, Calligarich, E, Calvo, E, Camilleri, L, Campanelli, M, Cantini, C, Carls, B, Carr, R, Cascella, M, Castromonte, C, CatanoMur, E, Cavanna, F, Centro, S, CerveraVillanueva, A, Chandratre, VB, Chatterjee, A, Chattopadhyay, S, Chaussard, L, Chembra, S, Chen, H, Chen, K, Chen, M, Cherdack, D, Chi, C, Childress, S, Choubey, S, Choudhary, BC, Christodoulou, G, Christofferson, C, Church, E, Cianci, D, Cline, D, Coan, T, Cocco, A, Coelho, J, Cole, P, Collin, G, Conrad, JM, Convery, M, Corey, R, Corwin, L, Cranshaw, J, Crivelli, P, Cronin-Hennessy, D, Curioni, A, Cushing, J, Adams, DL, Dale, D, Das, SR, Davenne, T, Davies, GS, Davies, J, Dawson, J, De, K, deGouvea, A, deJong, JK, deJong, P, DeLurgio, P, Decowski, M, Delbart, A, Densham, C, Dharmapalan, R, Dhingra, N, DiLuise, S, Diamantopoulou, M, Diaz, JS, DiazBautista, G, Diwan, M, Djurcic, Z, Dolph, J, Drake, G, Duchesneau, D, Duvernois, M, Duyang, H, Dwyer, DA, Dye, S, Dytman, S, Eberly, B, Edgecock, R, Edmunds, D, Elliott, S, Elnimr, M, Emery, S, Endress, E, Eno, S, Ereditato, A, Escobar, CO, Evans, J, Falcone, A, Falk, L, Farbin, A, Farnese, C, Farzan, Y, Fava, A, Favilli, L, Felde, J, Felix, J, Fernandes, S, Fields, L, Finch, A, Fitton, M, Fleming, B, Forest, T, Fowler, J, Fox, W, Fried, J, Friedland, A, Fuess, S, Fujikawa, B, Gago, A, Gallagher, H, Galymov, S, Gamble, T, Gandhi, R, Garcia-Gamez, D, Gardiner, S, Garvey, G, Gehman, VM, Gendotti, A, Geronimo, GD, Ghag, C, Ghoshal, P, Gibin, D, Gil-Botella, I, Gill, R, Girardelli, D, Giri, A, Glavin, S, Goeldi, D, Golapinni, S, Gold, M, Gomes, RA, GomezCadenas, JJ, Goodman, MC, Gorbunov, D, Goswami, S, Graf, N, Graham, M, Gramelini, E, Gran, R, Grant, C, Grant, N, Greco, V, Greenlee, H, Greenler, L, Greenley, C, Groh, M, Grullon, S, Grundy, T, Grzelak, K, Guardincerri, E, Guarino, V, Guarnaccia, E, Guedes, GP, Guenette, R, Guglielmi, A, Habig, AT, Hackenburg, RW, Hackenburg, A, Hadavand, H, Haenni, R, Hahn, A, Haigh, MD, Haines, T, Hamernik, T, Handler, T, Hans, S, Harris, D, Hartnell, J, Hasegawa, T, Hatcher, R, Hatzikoutelis, A, Hays, S, Hazen, E, Headley, M, Heavey, A, Heeger, K, Heise, J, Hennessy, K, Hewes, J, Higuera, A, Hill, T, Himmel, A, Hogan, M, Holanda, P, Holin, A, Honey, W, Horikawa, S, Horton-Smith, G, Howard, B, Howell, J, Hurh, P, Huston, J, Hylen, J, Imlay, R, Insler, J, Introzzi, G, Ioanisyan, D, Ioannisian, A, Iwamoto, K, Izmaylov, A, Jackson, C, Jaffe, DE, James, C, James, E, Jediny, F, Jen, C, Jhingan, A, Jiménez, S, Jo, JH, Johnson, M, Johnson, R, Johnstone, J, Jones, BJ, Joshi, J, Jostlein, H, Jung, CK, Junk, T, Kaboth, A, Kadel, R, Kafka, T, Kalousis, L, Kamyshkov, Y, Karagiorgi, G, Karasavvas, D, Karyotakis, Y, Kaur, A, Kaur, P, Kayser, B, Kazaryan, N, Kearns, E, Keener, P, Kemboi, S, Kemp, E, Kettell, SH, Khabibullin, M, Khandaker, M, Khotjantsev, A, Kirby, B, Kirby, M, Klein, J, Kobilarcik, T, Kohn, S, Koizumi, G, Kopylov, A, Kordosky, M, Kormos, L, Kose, U, Kostelecky, A, Kramer, M, Kreslo, I, Kriske, R, Kropp, W, Kudenko, Y, Kudryavtsev, VA, Kulagin, S, Kumar, A, Kumar, G, Kumar, J, Kumar, L, Kutter, T, Laminack, A, Lande, K, Lane, C, Lang, K, Lanni, F, Learned, J, Lebrun, P, Lee, D, Lee, H, Lee, K, Lee, WM, LeiguideOliveira, MA, Li, Q, Li, S, Li, X, Li, Y, Li, Z, Libo, J, Lin, CS, Lin, S, Ling, J, Link, J, Liptak, Z, Lissauer, D, Littenberg, L, Littlejohn, B, Liu, Q, Liu, T, Lockwitz, S, Lockyer, N, Loew, T, Lokajicek, M, Long, K, Lopes, MDL, Lopez, JP, Losecco, J, Louis, W, Lowery, J, Luethi, M, Luk, K, Lundberg, B, Lundin, T, Luo, X, Lux, T, Lykken, J, Machado, AA, Macier, JR, Magill, S, Mahler, G, Mahn, K, Malek, M, Malhotra, S, Malon, D, Mammoliti, F, Mancina, S, Mandal, SK, Mandodi, S, Manly, SL, Mann, A, Marchionni, A, Marciano, W, Mariani, C, Maricic, J, Marino, A, Marshak, M, Marshall, C, Marshall, J, Marteau, J, Martin-Albo, J, Martinez, D, Matsuno, S, Matthews, J, Mauger, C, Mavrokoridis, K, Mayilyan, D, Mazzucato, E, McCauley, N, McCluskey, E, McConkey, N, McDonald, K, McFarland, KS, McGowan, AM, McGrew, C, McKeown, R, McNulty, D, McTaggart, R, Mefodiev, A, Mehrian, M, Mehta, P, Mei, D, Mena, O, Menary, S, Mendez, H, Menegolli, A, Meng, G, Meng, Y, Merritt, H, Mertins, D, Messier, M, Metcalf, W, Mewes, M, Meyer, H, Miao, T, Milincic, R, Miller, W, Mills, G, Mineev, O, Miranda, O, Mishra, CS, Mishra, SR, Mitrica, B, Mladenov, D, Mocioiu, I, Mohanta, R, Mokhov, N, Montanari, C, Montanari, D, Moon, J, Mooney, M, Moore, C, Morfin, J, Morgan, B, Morris, C, Morse, W, Moss, Z, Mossey, C, Moura, CA, Mousseau, J, Mualem, L, Muether, M, Mufson, S, Murphy, S, Musser, J, Musser, R, Nakajima, Y, Naples, D, Navarro, J, Navas, D, Nelson, J, Nessi, M, Newcomer, M, Ng, Y, Nichol, R, Nicholls, TC, Nikolics, K, Niner, E, Norris, B, Noto, F, Novakova, P, Novella, P, Nowak, J, Nunes, MS, O'Keeffe, H, Oldeman, R, Oliveira, R, Olson, T, Onishchuk, Y, Osta, J, Ovsjannikova, T, Page, B, Pakvasa, S, Pal, S, Palamara, O, Palazzo, A, Paley, J, Palomares, C, Pantic, E, Paolone, V, Papadimitriou, V, Park, J, Parke, S, Parsa, Z, Pascoli, S, Patterson, R, Patton, S, Patzak, T, Paulos, B, Paulucci, L, Pavlovic, Z, Pawloski, G, Peeters, S, Pennacchio, E, Perch, A, Perdue, GN, Periale, L, Perkin, JD, Pessard, H, Petrillo, G, Petti, R, Petukhov, A, Pietropaolo, F, Plunkett, R, Pordes, S, Potekhin, M, Potenza, R, Potukuchi, B, Poudyal, N, Prokofiev, O, Pruthi, N, Przewlocki, P, Pushka, D, Qian, X, Raaf, JL, Raboanary, R, Radeka, V, Radovic, A, Raffelt, G, Rakhno, I, Rakotondramanana, HT, Rakotondravohitra, L, Ramachers, YA, Rameika, R, Ramsey, J, Rappoldi, A, Raselli, G, Ratoff, P, Rebel, B, Regenfus, C, Reichenbacher, J, Reitzner, D, Remoto, A, Renshaw, A, Rescia, S, Richardson, M, Rielage, K, Riesselmann, K, Robinson, M, Rochester, L, Rodrigues, OB, Rodrigues, P, Roe, B, Rosen, M, Roser, RM, Ross-Lonergan, M, Rossella, M, Rubbia, A, Rubbia, C, Rucinski, R, RudolphvonRohr, C, Russell, B, Ruterbories, D, Saakyan, R, Sahu, N, Sala, P, Samios, N, Sanchez, F, Sanchez, M, Sands, B, Santana, S, Santorelli, R, Santucci, G, Saoulidou, N, Scaramelli, A, Schellman, H, Schlabach, P, Schmitt, R, Schmitz, D, Schneps, J, Scholberg, K, Schukraft, A, Schwehr, J, Segreto, E, Seibert, S, Sepulveda-Quiroz, JA, Sergiampietri, F, Sexton-Kennedy, L, Sgalaberna, D, Shaevitz, M, Shahi, J, Shahsavarani, S, Shanahan, P, Shankar, SU, Sharma, R, Sharma, RK, Shaw, T, Shrock, R, Shyrma, I, Simos, N, Sinev, G, Singh, I, Singh, J, Singh, V, Sinnis, G, Sippach, W, Smargianaki, D, Smy, M, Snider, E, Snopok, P, Sobczyk, J, Sobel, H, Soderberg, M, Solomey, N, Sondheim, W, Sorel, M, Sousa, A, Soustruznik, K, Spitz, J, Spooner, NJ, Stancari, M, Stancu, I, Stefan, D, Steiner, HM, Stewart, J, Stock, J, Stoica, S, Stone, J, Strait, J, Strait, M, Strauss, T, Striganov, S, Sulej, R, Sullivan, G, Sun, Y, Suter, L, Sutera, CM, Svoboda, R, Szczerbinska, B, Szelc, A, Söldner-Rembold, S, Talaga, R, Tamsett, M, Tariq, S, Tatar, E, Tayloe, R, Taylor, C, Taylor, D, Terao, K, Thiesse, M, Thomas, J, Thompson, LF, Thomson, M, Thorn, C, Thorpe, M, Tian, X, Tiedt, D, Timm, SC, Tonazzo, A, Tope, T, Topkar, A, Torres, FR, Torti, M, Tortola, M, Tortorici, F, Toups, M, Touramanis, C, Tripathi, M, Tropin, I, Tsai, Y, Tsang, KV, Tsenov, R, Tufanli, S, Tull, C, Turner, J, Tzanov, M, Tziaferi, E, Uchida, Y, Urheim, J, Usher, T, Vagins, M, Vahle, P, Valdiviesso, GA, Valerio, L, Vallari, Z, Valle, J, VanBerg, R, VandeWater, R, VanGemmeren, P, Varanini, F, Varner, G, Vasseur, G, Vaziri, K, Velev, G, Ventura, S, Verdugo, A, Viant, T, Vieira, TV, Vignoli, C, Vilela, C, Viren, B, Vrba, T, Wachala, T, Wahl, D, Wallbank, M, Walsh, N, Wang, B, Wang, H, Wang, L, Wang, T, Warburton, TK, Warner, D, Wascko, M, Waters, D, Watson, TB, Weber, A, Weber, M, Wei, W, Weinstein, A, Wells, D, Wenman, D, Wetstein, M, White, A, Whitehead, L, Whittington, D, Wilking, M, Willhite, J, Wilson, P, Wilson, RJ, Winslow, L, Wittich, P, Wojcicki, S, Wong, HH, Wood, K, Worcester, E, Worcester, M, Wu, S, Xin, T, Yanagisawa, C, Yang, S, Yang, T, Yarritu, K, Ye, J, Yeh, M, Yershov, N, Yonehara, K, Yu, B, Yu, J, Zalesak, J, Zalewska, A, Zamorano, B, Zang, L, Zani, A, Zavala, G, Zeller, G, Zhang, C, Zimmerman, ED, Zito, M, Zwaska, R, Institut de Physique Nucléaire de Lyon (IPNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), DUNE, Laboratoire d'Annecy de Physique des Particules (LAPP/Laboratoire d'Annecy-le-Vieux de Physique des Particules), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Observatoire de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)
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Condensed Matter::Soft Condensed Matter ,High Energy Physics - Experiment (hep-ex) ,Physics - Instrumentation and Detectors ,Physics::Instrumentation and Detectors ,[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] ,FOS: Physical sciences ,High Energy Physics::Experiment ,Instrumentation and Detectors (physics.ins-det) ,Nonlinear Sciences::Pattern Formation and Solitons ,Physics::Geophysics ,High Energy Physics - Experiment - Abstract
A description of the proposed detector(s) for DUNE at LBNF
- Published
- 2016
21. Search for CP Violation in Neutrino and Antineutrino Oscillations by the T2K Experiment with 2.2 x 10(21) Protons on Target
- Author
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Abe, K, Akutsu, R, Amey, J, Andreopoulos, C, Anthony, L, Antonova, M, Aoki, S, Ariga, A, Ashida, Y, Azuma, Y, Ban, S, Barbi, M, Barker, GJ, Barr, G, Barry, C, Batkiewicz, M, Bench, F, Ali, A, Berardi, V, Berkman, S, Berner, RM, Berns, L, Bhadra, S, Bienstock, S, Blondel, A, Bolognesi, S, Bourguille, B, Boyd, SB, Brailsford, D, Bravar, A, Bronner, C, Avanzini, M Buizza, Calcutt, J, Campbell, T, Cao, S, Cartwright, SL, Catanesi, MG, Cervera, A, Chappell, A, Checchia, C, Cherdack, D, Chilcuma, N, Christodoulou, G, Coleman, J, Collazuol, G, Coplowe, D, Cudd, A, Dabrowska, A, De Rosa, G, Dealtry, T, Denner, PF, Dennis, SR, Densham, C, Di Lodovico, F, Dokania, N, Dolan, S, Drapier, O, Duffy, KE, Dumarchez, J, Dunne, P, Emery-Schrenk, S, Ereditato, A, Fernandez, P, Feusels, T, Finch, AJ, Fiorentini, GA, Fiorilloi, G, Francois, C, Friend, M, Fujiii, Y, Fujita, R, Fukuda, D, Fukuda, Y, Gameil, K, Giganti, C, Gizzarelli, F, Golan, T, Gonin, M, Hadley, DR, Haegel, L, Haigh, JT, Hamacher-Baumann, P, Hansen, D, Harada, J, Hartz, M, Hasegawa, T, Hastings, NC, Hayashino, T, Hayato, Y, Hiramoto, A, Hogan, M, Holeczek, J, Hosomi, F, Ichikawa, AK, Ikeda, M, Imber, J, Inoue, T, Intonti, RA, Ishida, T, Ishii, T, Ishitsuka, M, Iwamoto, K, Izmaylov, A, Jamieson, B, Jiang, M, Johnson, S, Jonsson, P, Jung, CK, Kabirnezhad, M, Kaboth, AC, Kajita, T, Kakuno, H, Kameda, J, Karlen, D, Katori, T, Kato, Y, Kearns, E, Khabibullin, M, Khotjantsev, A, Kim, J, King, S, Kisiel, J, Knight, A, Knox, A, Kobayashi, T, Koch, L, Koga, T, Koller, PP, Konaka, A, Kormos, LL, Koshio, Y, Kowailk, K, Kubo, H, Kudenko, Y, Kurjata, R, Kutter, T, Kuze, M, Labarga, L, Lagoda, J, Lasorak, P, Laveder, M, Lawe, M, Licciarai, M, Lindner, T, Liptak, ZJ, Litchfield, RP, Li, X, Longhin, A, Lou, T, Ludovici, L, Lu, X, Magalettii, L, Mahn, K, Malek, M, Manly, S, Maret, L, Marino, AD, Martin, JF, Martins, P, Maruyama, T, Matsubara, T, Matveev, V, Mavrokoridis, K, Ma, WY, Mazzucato, E, McCarthy, M, McCauley, N, McFarland, KS, McGrew, C, Mefodiev, A, Kim, H, Lamoureux, M, Lopez, JP, Metelko, C, Mezzetto, M, Minamino, A, Mineev, O, Mine, S, Missert, A, Miura, M, Moriyama, S, Morrison, J, Mueller, Th A, Murphy, S, Nagai, Y, Nakadaira, T, Nakahata, M, Nakajima, Y, Nakamura, KG, Nakamura, K, Nakamura, KD, Nakanishi, Y, Nakayama, S, Nakaya, T, Nakayoshi, K, Nantais, C, Nielsen, C, Niewczas, K, Nishikawa, K, Nishimura, Y, Nonnenmacher, TS, Novella, P, Nowak, J, O'Keeffe, HM, O'Sullivan, L, Okumura, K, Okusawa, T, Oryszczak, W, Oser, SM, Owen, RA, Oyama, Y, Palladino, V, Palomino, JL, Paolone, V, Paudyal, P, Pavin, M, Payne, D, Pickering, L, Pidcott, C, Guerra, ES Pinzon, Pistillo, C, Popov, B, Porwit, K, Posiadala-Zezula, M, Pritchard, A, Quilain, B, Radermacher, T, Radicioni, E, Ratoff, PN, Reinherz-Aronis, E, Riccio, C, Rondio, E, Rossi, B, Roth, S, Rubbia, A, Ruggeri, AC, Rychter, A, Sakashita, K, Sanchez, F, Sasaki, S, Scantamburlo, E, Scholberg, K, Schwehr, J, Scott, M, Seiya, Y, Sekiguchi, T, Sekiya, H, Sgalaberna, D, Shah, R, Shaikhiev, A, Shaker, F, Shaw, D, Shiozawa, M, Smirnov, A, Smy, M, Sobczyk, JT, Sobel, H, Sonoda, Y, Steinmann, J, Stewart, T, Stowell, P, Suda, Y, Suvorov, S, Suzuki, A, Suzuki, SY, Suzuki, Y, Sztuc, AA, Tacik, R, Tada, M, Takeda, A, Takeuchi, Y, Tamura, R, Tanaka, HK, Tanaka, HA, Thakore, T, Thompson, LF, Toki, W, Touramanis, C, Tsui, KM, Tsukamoto, T, Tzanov, M, Uchida, Y, Uno, W, Vagins, M, Vallari, Z, Vasseur, G, Vilela, C, Vladisavljevic, T, Volkov, VV, Wachala, T, Walker, J, Wang, Y, Wark, D, Wascko, MO, Weber, A, Wendell, R, Wilking, MJ, Wilkinson, C, Wilson, JR, Wilson, RJ, Wret, C, Yamada, Y, Yamamoto, K, Yamasu, S, Yanagisawa, C, Yang, G, Yano, T, Yasutome, K, Yen, S, Yershov, N, Yokoyama, M, Yoshida, T, Yu, M, Zalewska, A, Zalipska, J, Zaremba, K, Zarnecki, G, Ziembicki, M, Zimmerman, ED, Zito, M, Zsoldos, S, Zykova, A, Collaboration, T2K, and Science and Technology Facilities Council (STFC)
- Subjects
General Physics ,Science & Technology ,02 Physical Sciences ,T2K Collaboration ,hep-ex ,Physics ,Physical Sciences ,Physics, Multidisciplinary ,PION-PRODUCTION ,UNCERTAINTIES ,01 Mathematical Sciences ,09 Engineering - Abstract
The T2K experiment measures muon neutrino disappearance and electron neutrino appearance in accelerator-produced neutrino and antineutrino beams. With an exposure of 14.7(7.6)×1020 protons on target in the neutrino (antineutrino) mode, 89 νe candidates and seven anti-νe candidates are observed, while 67.5 and 9.0 are expected for δCP=0 and normal mass ordering. The obtained 2σ confidence interval for the CP-violating phase, δCP, does not include the CP-conserving cases (δCP=0, π). The best-fit values of other parameters are sin2θ23=0.526+0.032−0.036 and Δm232=2.463+0.071−0.070×10−3 eV2/c4.
- Published
- 2018
22. Measurement of the nu(mu) charged-current quasielastic cross section on carbon with the ND280 detector at T2K
- Author
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Abe, K, Adam, J, Aihara, H, Akiri, T, Andreopoulos, C, Aoki, S, Ariga, A, Assylbekov, S, Autiero, D, Barbi, M, Barker, GJ, Barr, G, Bartet-Friburg, P, Bass, M, Batkiewicz, M, Bay, F, Berardi, V, Berger, BE, Berkman, S, Bhadra, S, Blaszczyk, FDM, Blondel, A, Bojechko, C, Bolognesi, S, Bordoni, S, Boyd, SB, Brailsford, D, Bravar, A, Bronner, C, Calland, RG, Caravaca Rodriguez, J, Cartwright, SL, Castillo, R, Catanesi, MG, Cervera, A, Cherdack, D, Chikuma, N, Christodoulou, G, Clifton, A, Coleman, J, Coleman, SJ, Collazuol, G, Connolly, K, Cremonesi, L, Dabrowska, A, De Rosa, G, Danko, I, Das, R, Davis, S, de Perio, P, Dealtry, T, Dennis, SR, Densham, C, Dewhurst, D, Di Lodovico, F, Di Luise, S, Dolan, S, Drapier, O, Duboyski, T, Duffy, K, Dumarchez, J, Dytman, S, Dziewiecki, M, Emery-Schrenk, S, Ereditato, A, Escudero, L, Feusels, T, Finch, AJ, Fiorentini, GA, Friend, M, Fujii, Y, Fukuda, Y, Furmanski, AP, Galymov, V, Garcia, A, Giffin, S, Giganti, C, Gilje, K, Goeldi, D, Golan, T, Gonin, M, Grant, N, Gudin, D, Hadley, DR, Haegel, L, Haesler, A, Haigh, MD, Hamilton, P, Hansen, D, Hara, T, Hartz, M, Hasegawa, T, Hastings, NC, Hayashino, T, Hayato, Y, Hearty, C, Helmer, RL, Hierholzer, M, Hignight, J, Hillairet, A, Himmel, A, Hiraki, T, Hirota, S, Holeczek, J, Horikawa, S, Huang, K, Hosomi, F, Ichikawa, AK, Ieki, K, Ieva, M, Ikeda, M, Imber, J, Insler, J, Intonti, RA, Irvine, TJ, Ishida, T, Ishii, T, Iwai, E, Iwamoto, K, Iyogi, K, Izmaylov, A, Jacob, A, Jamieson, B, Jiang, M, Johnson, S, Jo, JH, Jonsson, P, Jung, CK, Kabirnezhad, M, Kaboth, AC, Kajita, T, Kakuno, H, Kameda, J, Kanazawa, Y, Karlen, D, Karpikov, I, Katori, T, Kearns, E, Khabibullin, M, Khotjantsev, A, Kielczewska, D, Kikawa, T, Kilinski, A, Kim, J, King, S, Kisiel, J, Kitching, P, Kobayashi, T, Koch, L, Kolaceke, A, Koga, T, Konaka, A, Kopylov, A, Kormos, LL, Korzenev, A, Koshio, Y, Kropp, W, Kubo, H, Kudenko, Y, Kurjata, R, Kutter, T, Lagoda, J, Lamont, I, Larkin, E, Laveder, M, Lawe, M, Lazos, M, Lindner, T, Lister, C, Litchfield, RP, Longhin, A, Lopez, JP, Ludovici, L, Magaletti, L, Mahn, K, Malek, M, Manly, S, Marino, AD, Marteau, J, Martin, JF, Martins, P, Martynenko, S, Maruyama, T, Matveev, V, Mavrokoridis, K, Ma, WY, Mazzucato, E, McCarthy, M, McCauley, N, McFarland, KS, McGrew, C, Mefodiev, A, Metelko, C, Mezzetto, M, Mijakowski, P, Miller, CA, Minamino, A, Mineev, O, Mine, S, Missert, A, Miura, M, Moriyama, S, Mueller, TA, Murakami, A, Murdoch, M, Murphy, S, Myslik, J, Nakadaira, T, Nakahata, M, Nakamura, KG, Nakamura, K, Nakamura, KD, Nakayama, S, Nakaya, T, Nakayoshi, K, Nantais, C, Nielsen, C, Nirkko, M, Nishikawa, K, Nishimura, Y, Nowak, J, O'Keeffe, HM, Ohta, R, Okumura, K, Okusawa, T, Oryszczak, W, Oser, SM, Ovsyannikova, T, Owen, RA, Oyama, Y, Palladino, V, Palomino, JL, Paolone, V, Payne, D, Perevozchikov, O, Perkin, JD, Petrov, Y, Pickard, L, Pickering, L, Guerra, ESP, Pistillo, C, Plonski, P, Poplawska, E, Popov, B, Posiadala-Zezula, M, Poutissou, J-M, Poutissou, R, Przewlocki, P, Quilain, B, Radicioni, E, Ratoff, PN, Ravonel, M, Rayner, MAM, Redij, A, Reeves, M, Reinherz-Aronis, E, Riccio, C, Rodrigues, PA, Rojas, P, Rondio, E, Roth, S, Rubbia, A, Ruterbories, D, Rychter, A, Sacco, R, Sakashita, K, Sanchez, F, Sato, F, Scantamburlo, E, Scholberg, K, Schoppmann, S, Schwehr, JD, Scott, M, Seiya, Y, Sekiguchi, T, Sekiya, H, Sgalaberna, D, Shah, R, Shaikhiev, A, Shaker, F, Shaw, D, Shiozawa, M, Shirahige, T, Short, S, Shustrov, Y, Sinclair, P, Smith, B, Smy, M, Sobczyk, JT, Sobel, H, Sorel, M, Southwell, L, Stamoulis, P, Steinmann, J, Still, B, Stewart, T, Suda, Y, Suzuki, A, Suzuki, K, Suzuki, SY, Suzuki, Y, Tacik, R, Tada, M, Takahashi, S, Takeda, A, Takeuchi, Y, Tanaka, HK, Tanaka, HA, Tanaka, MM, Terhorst, D, Terri, R, Thompson, LF, Thorley, A, Tobayama, S, Toki, W, Tomura, T, Touramanis, C, Tsukamoto, T, Tzanov, M, Uchida, Y, Vacheret, A, Vagins, M, Vallari, Z, Vasseur, G, Wachala, T, Wakamatsu, K, Walter, CW, Wark, D, Warzycha, W, Wascko, MO, Weber, A, Wendell, R, Wilkes, RJ, Wilking, MJ, Wilkinson, C, Williamson, Z, Wilson, JR, Wilson, RJ, Wongjirad, T, Yamada, Y, Yamamoto, K, Yanagisawa, C, Yano, T, Yen, S, Yershov, N, Yokoyama, M, Yoo, J, Yoshida, K, Yuan, T, Yu, M, Zalewska, A, Zalipska, J, Zambelli, L, Zaremba, K, Ziembicki, M, Zimmerman, ED, Zito, M, Zmuda, J, Ministerio de Economía y Competitividad (España), Ministry of Education, Culture, Sports, Science and Technology (Japan), Natural Sciences and Engineering Research Council of Canada, Centre National de la Recherche Scientifique (France), The Royal Society (UK), and Science and Technology Facilities Council (STFC)
- Subjects
Science & Technology ,hep-ex ,Physics ,Delta resonance ,Astronomy & Astrophysics ,nucl-ex ,Nuclear & Particles Physics ,Physics, Particles & Fields ,High Energy Physics - Experiment ,0201 Astronomical And Space Sciences ,0202 Atomic, Molecular, Nuclear, Particle And Plasma Physics ,GEV-C ,SINGLE PION-PRODUCTION ,NUCLEAR TARGETS ,DELTA-RESONANCE ,Physical Sciences ,EXCITATION ,RESONANCE REGION ,Single-pion-production ,SCATTERING ,High Energy Physics::Experiment ,EXCHANGE ,0206 Quantum Physics ,Nuclear Experiment ,TRUE ABSORPTION - Abstract
The Charged-Current Quasi-Elastic (CCQE) interaction, $\nu_{l} + n \rightarrow l^{-} + p$, is the dominant CC process at $E_\nu \sim 1$ GeV and contributes to the signal in accelerator-based long-baseline neutrino oscillation experiments operating at intermediate neutrino energies. This paper reports a measurement by the T2K experiment of the $\nu_{\mu}$ CCQE cross section on a carbon target with the off-axis detector based on the observed distribution of muon momentum ($p_\mu$) and angle with respect to the incident neutrino beam ($\theta_\mu$). The flux-integrated CCQE cross section was measured to be $(0.83 \pm 0.12) \times 10^{-38}\textrm{ cm}^{2}$ in good agreement with NEUT MC value of ${0.88 \times 10^{-38}} \textrm{ cm}^{2}$. The energy dependence of the CCQE cross section is also reported. The axial mass, $M_A^{QE}$, of the dipole axial form factor was extracted assuming the Smith-Moniz CCQE model with a relativistic Fermi gas nuclear model. Using the absolute (shape-only) $p_{\mu}cos\theta_\mu$ distribution, the effective $M_A^{QE}$ parameter was measured to be ${1.26^{+0.21}_{-0.18} \textrm{ GeV}/c^{2}}$ (${1.43^{+0.28}_{-0.22} \textrm{ GeV}/c^{2}}$).
- Published
- 2015
23. Seasonal variability of δ13C and δ15N of fish and squid in the Cabo Frio upwelling system of the southwestern Atlantic
- Author
-
Soares, LSH, primary, Muto, EY, additional, Lopez, JP, additional, Clauzet, GRV, additional, and Valiela, I, additional
- Published
- 2014
- Full Text
- View/download PDF
24. Netflix picks blu-ray disc over HD DVD
- Author
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Rosado, J and Lopez, JP
- Abstract
Just dumb, Netflix [find.pcworld.com/ 60074]. With more than a million HD DVD players out there and more being sold on a daily basis with the new low prices, there is […]
- Published
- 2008
25. Associations of muscular and cardiorespiratory fitness with total and central body fat in adolescents: the HELENA study.
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Moliner-Urdiales D, Ruiz JR, Vicente-Rodriguez G, Ortega FB, Rey-Lopez JP, España-Romero V, Casajús JA, Molnar D, Widhalm K, Dallongeville J, González-Gross M, Castillo MJ, Sjöström M, Moreno LA, and HELENA Study Group
- Abstract
OBJECTIVE: to examine the association of healthrelated physical fitness with total and central body fat in adolescents. PARTICIPANTS/METHODS: the present cross-sectional study comprises 363 Spanish adolescents (186 female participants) aged 12.5-17.5 years. We assessed fitness by the 20-m shuttle run test (cardiorespiratory fitness); the handgrip strength, the standing broad jump and the Abalakov tests (muscular strength); and the 4 x 10-m shuttle run test (speed-agility). Total body fat was measured by dual energy x-ray absorptiometry (DXA), BodPod and sum of six skinfolds, and central body fat was measured by DXA at three regions (R1, R2 and R3) and waist circumference. RESULTS: the Abalakov, the standing broad jump, the 4 x 10-m shuttle run and the 20-m shuttle run tests were negatively associated with all markers of total and central body fat in men and women after controlling for age, pubertal status and objectively assessed physical activity (p<0.01). Handgrip strength test was positively associated with waist circumference (p<0.01). CONCLUSIONS: lower body muscular strength and cardiorespiratory fitness are negatively and consistently associated with total and central body fat in adolescents, whereas levels of upper body muscular strength were superior in adolescents with higher levels of central body fat. [ABSTRACT FROM AUTHOR]
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- 2011
26. STI-571 (Gleevec) potentiates the effect of cisplatin in inhibiting the proliferation of head and neck squamous cell carcinoma in vitro.
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Wang-Rodriguez J, Lopez JP, Altuna X, Chu TS, Weisman RA, and Ongkeko WM
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- 2006
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27. EGFR regulates the side population in head and neck squamous cell carcinoma.
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Chen JS, Pardo FS, Wang-Rodriguez J, Chu TS, Lopez JP, Aguilera J, Altuna X, Weisman RA, Ongkeko WM, Chen, Jocelyn S, Pardo, Francisco S, Wang-Rodriguez, Jessica, Chu, Theresa S, Lopez, Jay Patrick, Aguilera, Joseph, Altuna, Xabier, Weisman, Robert A, and Ongkeko, Weg M
- Abstract
Objective: To identify the presence of side population (SP) cells in established head and neck squamous carcinoma cell (HNSCC) lines and to determine the role of EGFR in the regulation of the side population of these cells.Methods: SP cells were identified using flow cytometry analysis by the ability of these cells to extrude the Hoechst 33342 dye via the drug transporter BCRP1/ABCG2. Effect of EGFR on the side population was determined also by difference in Hoechst extrusion and by immunofluorescence. Immunohistochemical staining was performed to show the presence of the BCRP1/ABCG2 transporter and the phosphorylated form of EGFR in HNSCC tissue.Results: SP cells are present in HNSCC cell lines. With the Hoechst 33342 extrusion assay, SP cells were found to comprise an average of 0.69% of the UMSCC10B cells and 0.91% of HN12 cells. Addition of the EGF ligand increased the SP population while inactivation of the EGFR kinase by Iressa significantly decreased SP.Conclusion: In established head and neck squamous cell carcinoma cell lines, SP cells were found using methods that determine expression and function of the drug transporter BCRP1/ABCG2. Activation of EGFR, a gene implicated in tumorigenesis in HNSCC leads to increased SP, and conversely, inhibition of EGFR leads to decrease in SP. This finding could help explain the role of EGFR in regulating cancer stem cells and thus tumorigenesis in HNSCC. [ABSTRACT FROM AUTHOR]- Published
- 2006
28. J-PARC Neutrino Beamline Upgrade Technical Design Report
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Abe, K, Aihara, H, Ajmi, A, Alt, C, Andreopoulos, C, Antonova, M, Aoki, S, Asada, Y, Ashida, Y, Atherton, A, Atkin, E, Ban, S, Barbato, FCT, Barbi, M, Barker, GJ, Barr, G, Batkiewicz, M, Beloshapkin, A, Berardi, V, Berns, L, Bhadra, S, Bian, J, Bienstock, S, Blondel, A, Bolognesi, S, Borg, J, Bourguille, B, Boyd, SB, Brailsford, D, Bravar, A, Bron, S, Bronner, C, Avanzini, MB, Calabria, NF, Calcutt, J, Calland, RG, Calvet, D, Campbell, T, Cao, S, Cartwright, SL, Catanesi, MG, Cervera, A, Chappell, A, Cherdack, D, Chikuma, N, Christodoulou, G, Cicerchia, M, Clifton, A, Cogo, G, Coleman, J, Collazuol, G, Coplowe, D, Cudd, A, Dabrowska, A, Delbart, A, Roeck, AD, Rosa, GD, Dealtry, T, Dell'Acqua, A, Denner, PF, Dennis, SR, Densham, C, Dewhurst, D, Lodovico, FD, Dolan, S, Dokania, N, Doqua, D, Drapier, O, Duffy, KE, Dumarchez, J, Dunne, PJ, Dziewiecki, M, Eklund, L, Emery-Schrenk, S, Fedotov, S, Fernandez, P, Feusels, T, Finch, AJ, Fiorentini, GA, Fiorillo, G, Fitton, M, Friend, M, Fujii, Y, Fujita, R, Fukuda, D, Fukuda, R, Fukuda, Y, Fusshoeller, K, Gendotti, A, Giganti, C, Gizzarelli, F, Gonin, M, Gorin, A, Gramegna, F, Guigue, M, Hadley, DR, Haigh, JT, Hallsjö, S-P, Hamacher-Baumann, P, Hansen, D, Harada, J, Hartz, M, Hasegawa, T, Hastings, NC, Hayato, Y, Hiramoto, A, Hogan, M, Holeczek, J, Iacob, F, Ichikawa, AK, Ikeda, M, Imber, J, Ishida, T, Ishii, T, Ishitsuka, M, Iwai, E, Iwamoto, K, Izmaylov, A, Jamieson, B, Jiang, M, Johnson, S, Jonsson, P, Jung, CK, Kabirnezhad, M, Kaboth, AC, Kajita, T, Kakuno, H, Kameda, J, Kasetti, S, Kataoka, Y, Katori, T, Kearns, E, Khabibullin, M, Khotjantsev, A, Kikawa, T, Kim, H, King, S, Kisiel, J, Knight, A, Knox, A, Kobayashi, T, Koch, L, Konaka, A, Kormos, LL, Korzenev, A, Koshio, Y, Kowalik, K, Kropp, W, Kudenko, Y, Kuribayashi, S, Kurjata, R, Kutter, T, Kuze, M, Labarga, L, Lagoda, J, Lamont, I, Lamoureux, M, Last, D, Laveder, M, Lawe, M, Lindner, T, Liptak, ZJ, Litchfield, RP, Liu, S, Long, KR, Longhin, A, Lopez, JP, Ludovici, L, Lu, X, Lux, T, Magaletti, L, Magro, L, Mahn, K, Malek, M, Manly, S, Marchi, T, Maret, L, Marino, AD, Martin, JF, Martynenko, S, Maruyama, T, Matsubara, T, Matsushita, K, Matveev, V, Mauger, C, Mavrokoridis, K, Mazzucato, E, McCarthy, M, McCauley, N, McFarland, KS, McGrew, C, Mefodiev, A, Metelko, C, Mezzetto, M, Mijakowski, P, Mijakowski, J, Minamino, A, Mineev, O, Mine, S, Missert, A, Miura, M, Bueno, LM, Moriyama, S, Morrison, J, Mueller, TA, Murphy, S, Nagai, Y, Nakadaira, T, Nakahata, M, Nakajima, Y, Nakamura, A, Nakamura, KG, Nakamura, K, Nakayama, S, Nakaya, T, Nakayoshi, K, Nantais, C, Ngoc, TV, Nishikawa, K, Nishimura, Y, Nonnenmacher, T, Nova, F, Novella, P, Nowak, J, Nugent, JC, O'Keeffe, HM, Odagawa, T, Ohta, R, Okamoto, K, Okumura, K, Okusawa, T, Ovsyannikova, T, Owen, RA, Oyama, Y, Palladino, V, Paolone, V, Pari, M, Parker, W, Parsa, S, Pasternak, J, Pastore, C, Pavin, M, Payne, D, Perkin, JD, Pickard, L, Pickering, L, Guerra, ESP, Popov, B, Posiadala-Zezula, M, Poutissou, J-M, Poutissou, R, Pozimski, J, Przewlocki, P, Przybilsk, H, Quilain, B, Radermacher, T, Radicioni, E, Radics, B, Ratoff, PN, Reinherz-Aronis, E, Riccio, C, Rojas, P, Rondio, E, Rossi, B, Roth, S, Rubbia, A, Ruggeri, AC, Ruggles, CA, Rychter, A, Sakashita, K, Sánchez, F, Schloesser, CM, Scholberg, K, Schwehr, J, Scott, M, Seiya, Y, Sekiguchi, T, Sekiya, H, Sgalaberna, D, Shaikina, A, Shah, R, Shaikhiev, A, Shaker, F, Shaw, D, Shiozawa, M, Shirahige, T, Shorrock, W, Smirnov, A, Smy, M, Sobczyk, JT, Sobel, H, Soler, FJP, Southwell, L, Spina, R, Steinmann, J, Stewart, T, Stowell, P, Suvorov, S, Suzuki, A, Suzuki, SY, Suzuki, Y, Swierblewski, J, Szeptycka, M, Szoldos, S, Sztuc, A, Tacik, R, Tada, M, Tajima, M, Takeda, A, Takeuchi, Y, Tanaka, HK, Tanaka, HA, Thompson, LF, Toki, W, Tomura, T, Touramanis, C, Tsui, K, Tsukamoto, T, Tzanov, M, Uchida, MA, Uchida, Y, Vagins, M, Van, NH, Vasseur, G, Viant, T, Vilela, C, Wachala, T, Walter, CW, Wang, Y, Wark, D, Wascko, MO, Weber, A, Wendell, R, Wilkes, RJ, Wilking, MJ, Wilson, JR, Wilson, RJ, Wood, K, Wret, C, Yamada, Y, Yamamoto, K, Yanagisawa, C, Yang, G, Yano, T, Yasutome, K, Yen, S, Yershov, N, Yokoyama, M, Yoshida, T, Yuan, T, Yu, M, Zalewska, A, Zalipska, J, Zambelli, L, Zaremba, K, Ziembicki, M, Zimmerman, ED, Zito, M, Hamada, E, Higashi, N, Hirose, E, Igarashi, Y, Iida, M, Iio, M, Ikeno, M, Kimura, N, Kurosawa, N, Makida, Y, Nakamoto, T, Ogitsu, T, Ohhata, H, Okada, R, Okamura, T, Onaka, M, Sasaki, K, Shimazaki, S, Shoji, M, Sugano, M, Tanaka, K, Tanaka, M, Terashima, A, Tomaru, T, Uchida, T, Yoshida, M, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire Leprince-Ringuet (LLR), Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), T2K, J-PARC Neutrino Facility Group, HEP, INSPIRE, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), and Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
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Physics - Instrumentation and Detectors ,[PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex] ,hep-ex ,J-PARC Lab ,FOS: Physical sciences ,Instrumentation and Detectors (physics.ins-det) ,beam transport ,neutrino: beam ,KAMIOKANDE ,High Energy Physics - Experiment ,High Energy Physics - Experiment (hep-ex) ,[PHYS.PHYS.PHYS-INS-DET] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det] ,Physical Sciences ,[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] ,Fysik ,upgrade ,Radiologi och bildbehandling ,[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det] ,Detectors and Experimental Techniques ,physics.ins-det ,Particle Physics - Experiment ,activity report ,Radiology, Nuclear Medicine and Medical Imaging - Abstract
International audience; In this document, technical details of the upgrade plan of the J-PARC neutrino beamline for the extension of the T2K experiment are described. T2K has proposed to accumulate data corresponding to $2\times{}10^{22}$ protons-on-target in the next decade, aiming at an initial observation of CP violation with $3\sigma$ or higher significance in the case of maximal CP violation. Methods to increase the neutrino beam intensity, which are necessary to achieve the proposed data increase, are described.
29. Measurement of inclusive double-differential $\nu_\mu$ charged-current cross section with improved acceptance in the T2K off-axis near detector
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Abe, K, Amey, J, Andreopoulos, C, Anthony, L, Antonova, M, Aoki, S, Ariga, A, Ashida, Y, Azuma, Y, Ban, S, Barbi, M, Barker, GJ, Barr, G, Barry, C, Batkiewicz, M, Berardi, V, Berkman, S, Berner, RM, Bhadra, S, Bienstock, S, Blondel, A, Bolognesi, S, Bordoni, S, Bourguille, B, Boyd, SB, Brailsford, D, Bravar, A, Bronner, C, Avanzini, MB, Calcutt, J, Campbell, T, Cao, S, Cartwright, SL, Catanesi, MG, Cervera, A, Chappell, A, Checchia, C, Cherdack, D, Chikuma, N, Christodoulou, G, Coleman, J, Collazuol, G, Coplowe, D, Cudd, A, Dabrowska, A, De Rosa, G, Dealtry, T, Denner, PF, Dennis, SR, Densham, C, Di Lodovico, F, Dolan, S, Drapier, O, Duffy, KE, Dumarchez, J, Dunne, P, Emery-Schrenk, S, Ereditato, A, Feusels, T, Finch, AJ, Fiorentini, GA, Fiorillo, G, Francois, C, Friend, M, Fujii, Y, Fukuda, D, Fukuda, Y, Garcia, A, Giganti, C, Gizzarelli, F, Golan, T, Gonin, M, Hadley, DR, Haegel, L, Haigh, JT, Hamacher-Baumann, P, Hansen, D, Harada, J, Hartz, M, Hasegawa, T, Hastings, NC, Hayashino, T, Hayato, Y, Hiraki, T, Hiramoto, A, Hirota, S, Hogan, M, Holeczek, J, Hosomi, F, Ichikawa, AK, Ikeda, M, Imber, J, Inoue, T, Intonti, RA, Ishida, T, Ishii, T, Iwamoto, K, Izmaylov, A, Jamieson, B, Jiang, M, Johnson, S, Jonsson, P, Jung, CK, Kabirnezhad, M, Kaboth, AC, Kajita, T, Kakuno, H, Kameda, J, Karlen, D, Katori, T, Kearns, E, Khabibullin, M, Khotjantsev, A, Kim, H, Kim, J, King, S, Kisiel, J, Knight, A, Knox, A, Kobayashi, T, Koch, L, Koga, T, Koller, PP, Konaka, A, Kormos, LL, Koshio, Y, Kowalik, K, Kudenko, Y, Kurjata, R, Kutter, T, Labarga, L, Lagoda, J, Lamont, I, Lamoureux, M, Lasorak, P, Laveder, M, Lawe, M, Licciardi, M, Lindner, T, Liptak, ZJ, Litchfield, RP, Li, X, Longhin, A, Lopez, JP, Lou, T, Ludovici, L, Lu, X, Magaletti, L, Mahn, K, Malek, M, Manly, S, Maret, L, Marino, AD, Martin, JF, Martins, P, Martynenko, S, Maruyama, T, Matveev, V, Mavrokoridis, K, Ma, WY, Mazzucato, E, McCarthy, M, McCauley, N, McFarland, KS, McGrew, C, Mefodiev, A, Metelko, C, Mezzetto, M, Minamino, A, Mineev, O, Mine, S, Missert, A, Miura, M, Moriyama, S, Morrison, J, Mueller, TA, Nagai, Y, Nakadaira, T, Nakahata, M, Nakamura, KG, Nakamura, K, Nakamura, KD, Nakanishi, Y, Nakayama, S, Nakaya, T, Nakayoshi, K, Nantais, C, Nielsen, C, Niewczas, K, Nishikawa, K, Nishimura, Y, Novella, P, Nowak, J, O'Keeffe, HM, Okumura, K, Okusawa, T, Oryszczak, W, Oser, SM, Ovsyannikova, T, Owen, RA, Oyama, Y, Palladino, V, Palomino, JL, Paolone, V, Paudyal, P, Pavin, M, Payne, D, Petrov, Y, Pickering, L, Guerra, ESP, Pistillo, C, Popov, B, Posiadala-Zezula, M, Pritchard, A, Przewlocki, P, Quilain, B, Radermacher, T, Radicioni, E, Ratoff, PN, Rayner, MA, Reinherz-Aronis, E, Riccio, C, Rondio, E, Rossi, B, Roth, S, Ruggeri, AC, Rychter, A, Sakashita, K, Sanchez, F, Sasaki, S, Scantamburlo, E, Scholberg, K, Schwehr, J, Scott, M, Seiya, Y, Sekiguchi, T, Sekiya, H, Sgalaberna, D, Shah, R, Shaikhiev, A, Shaker, F, Shaw, D, Shiozawa, M, Smirnov, A, Smy, M, Sobczyk, JT, Sobel, H, Steinmann, J, Stewart, T, Stowell, P, Suda, Y, Suvorov, S, Suzuki, A, Suzuki, SY, Suzuki, Y, Tacik, R, Tada, M, Takeda, A, Takeuchi, Y, Tamura, R, Tanaka, HK, Tanaka, HA, Thakore, T, Thompson, LF, Tobayama, S, Toki, W, Tsukamoto, T, Tzanov, M, Uno, W, Vagins, M, Vallari, Z, Vasseur, G, Vilela, C, Vladisavljevic, T, Wachala, T, Walker, J, Walter, CW, Wang, Y, Wark, D, Wascko, MO, Weber, A, Wendell, R, Wilking, MJ, Wilkinson, C, Wilson, JR, Wilson, RJ, Wret, C, Yamada, Y, Yamamoto, K, Yamasu, S, Yanagisawa, C, Yano, T, Yen, S, Yershov, N, Yokoyama, M, Yu, M, Zalewska, A, Zalipska, J, Zambelli, L, Zaremba, K, Ziembicki, M, Zimmerman, ED, Zito, M, Zykova, A, Collaboration, T, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire Leprince-Ringuet (LLR), Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), T2K, Blondel, Alain, Bravar, Alessandro, Haegel, Leïla, Maret, Lucie, Rayner, Mark, Scantamburlo, Enrico, Sgalaberna, Davide, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Nucléaire et de Hautes Énergies ( LPNHE ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Département de Physique Nucléaire (ex SPhN) ( DPHN ), Institut de Recherches sur les lois Fondamentales de l'Univers ( IRFU ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay, Laboratoire Leprince-Ringuet ( LLR ), Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -École polytechnique ( X ) -Centre National de la Recherche Scientifique ( CNRS ), and Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
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carbon: target ,measured [channel cross section] ,momentum dependence ,ddc:500.2 ,KAMIOKANDE ,Astronomy & Astrophysics ,target [carbon] ,neutrino: flux ,Physics, Particles & Fields ,High Energy Physics - Experiment ,differential cross section: measured ,near detector ,[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex] ,measured [differential cross section] ,secondary beam [neutrino/mu] ,[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] ,SCATTERING ,DISTRIBUTIONS ,muon: momentum ,ddc:530 ,angular distribution ,detector [neutrino] ,cross section: charged current ,Science & Technology ,NUCLEI ,hep-ex ,Physics ,J-PARC Lab ,flux [neutrino] ,neutrino/mu: secondary beam ,neutrino: detector ,statistics ,Physical Sciences ,SIMULATION ,charged current [cross section] ,NEUTRINO ,momentum [muon] ,channel cross section: measured ,acceptance ,experimental results - Abstract
Physical review / D D 98(1), 012004 (2018). doi:10.1103/PhysRevD.98.012004, Published by Inst., Melville, NY
30. Microbubble-Assisted P53, Rb, And P130 Gene Transfer In Combination With Radiation Therapy In Prostate Cancer
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Marco Salvatore, Adelaide Greco, Pier Paolo Claudio, Candace M. Howard, Rounak Nande, Luigi Claudio, James Denvir, Arturo Brunetti, Jeffrey P. Lopez, Michael S. Gossman, Nande, R, Greco, Adelaide, Gossman, M, Lopez, Jp, Claudio, L, Salvatore, Marco, Brunetti, Arturo, Denvir, J, Howard, Cm, and Claudio, P. P.
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Male ,Pathology ,medicine.medical_specialty ,Tumor suppressor gene ,medicine.medical_treatment ,Transgene ,Genetic Vectors ,Apoptosis ,Retinoblastoma Protein ,Adenoviridae ,Prostate cancer ,Transduction (genetics) ,Mice ,Drug Delivery Systems ,Cell Line, Tumor ,Drug Discovery ,Genetics ,medicine ,Animals ,Humans ,Benzothiazoles ,Transgenes ,Molecular Biology ,Genetics (clinical) ,Ultrasonography ,Drug Carriers ,Mice, Inbred BALB C ,Microbubbles ,Retinoblastoma-Like Protein p130 ,business.industry ,Retinoblastoma ,X-Rays ,Gene Transfer Techniques ,Prostatic Neoplasms ,Genetic Therapy ,medicine.disease ,Genes, p53 ,Xenograft Model Antitumor Assays ,Radiation therapy ,Cell culture ,Luminescent Measurements ,Cancer research ,Molecular Medicine ,Female ,business - Abstract
Direct intratumoral (IT) injections of replication incompetent adenovirus expressing p53 and retinoblastoma family members pRb and p130 inhibit cancer growth in immune incompetent animals. Combination treatment of radiation therapy and direct IT injection of adenoviral vectors has been explored by others to enhance the therapeutic potential of gene transfer. A major challenge for gene transfer is systemic delivery of nucleic acids directly into an affected tissue. Ultrasound (US) contrast agents (microbubbles) are viable candidates for targeted delivery of genes administered systemically. Here we show that microbubble (MB) p53, pRB, and p130 gene transfer mediated by US at the tumor site resulted in targeted gene transduction and reduction in tumor growth compared to DU-145 prostate cancer cell xenografts treated intratumorally with Ads or radiation alone. Microbubble-assisted/US-mediated Ad.p53 and Ad.RB treated tumors showed considerable greater reduction in tumor volume compared to Ad.p130 treated tumors. Additionally, US mediated microbubble delivery of p53 and RB combined with external beam radiation resulted in the most profound tumor reduction in DU-145 xenografted nude mice (p
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- 2013
31. Automated Quality Control Solution for Radiographic Imaging of Lung Diseases.
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Kleefeld C, Castillo Lopez JP, Costa PR, Fitton I, Mohamed A, Pesznyak C, Ruggeri R, Tsalafoutas I, Tsougos I, Wong JHD, Zdesar U, Ciraj-Bjelac O, and Tsapaki V
- Abstract
Background/Objectives : Radiography is an essential and low-cost diagnostic method in pulmonary medicine that is used for the early detection and monitoring of lung diseases. An adequate and consistent image quality (IQ) is crucial to ensure accurate diagnosis and effective patient management. This pilot study evaluates the feasibility and effectiveness of the International Atomic Energy Agency (IAEA)'s remote and automated quality control (QC) methodology, which has been tested in multiple imaging centers. Methods : The data, collected between April and December 2022, included 47 longitudinal data sets from 22 digital radiographic units. Participants submitted metadata on the radiography setup, exposure parameters, and imaging modes. The database comprised 968 exposures, each representing multiple image quality parameters and metadata of image acquisition parameters. Python scripts were developed to collate, analyze, and visualize image quality data. Results : The pilot survey identified several critical issues affecting the future implementation of the IAEA method, as follows: (1) difficulty in accessing raw images due to manufacturer restrictions, (2) variability in IQ parameters even among identical X-ray systems and image acquisitions, (3) inconsistencies in phantom construction affecting IQ values, (4) vendor-dependent DICOM tag reporting, and (5) large variability in SNR values compared to other IQ metrics, making SNR less reliable for image quality assessment. Conclusions : Cross-comparisons among radiography systems must be taken with cautious because of the dependence on phantom construction and acquisition mode variations. Awareness of these factors will generate reliable and standardized quality control programs, which are crucial for accurate and fair evaluations, especially in high-frequency chest imaging.
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- 2024
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32. Innovations in blood pressure measurement and reporting technology: International Society of Hypertension position paper endorsed by the World Hypertension League, European Society of Hypertension, Asian Pacific Society of Hypertension, and Latin American Society of Hypertension.
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Kario K, Williams B, Tomitani N, McManus RJ, Schutte AE, Avolio A, Shimbo D, Wang JG, Khan NA, Picone DS, Tan I, Charlton PH, Satoh M, Mmopi KN, Lopez-Lopez JP, Bothe TL, Bianchini E, Bhandari B, Lopez-Rivera J, Charchar FJ, Tomaszewski M, and Stergiou G
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- Humans, Blood Pressure Monitoring, Ambulatory methods, Blood Pressure Monitoring, Ambulatory instrumentation, Societies, Medical, Blood Pressure, Latin America, Hypertension diagnosis, Hypertension physiopathology, Blood Pressure Determination methods
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Blood pressure (BP) is a key contributor to the lifetime risk of preclinical organ damage and cardiovascular disease. Traditional clinic-based BP readings are typically measured infrequently and under standardized/resting conditions and therefore do not capture BP values during normal everyday activity. Therefore, current hypertension guidelines emphasize the importance of incorporating out-of-office BP measurement into strategies for hypertension diagnosis and management. However, conventional home and ambulatory BP monitoring devices use the upper-arm cuff oscillometric method and only provide intermittent BP readings under static conditions or in a limited number of situations. New innovations include technologies for BP estimation based on processing of sensor signals supported by artificial intelligence tools, technologies for remote monitoring, reporting and storage of BP data, and technologies for BP data interpretation and patient interaction designed to improve hypertension management ("digital therapeutics"). The number and volume of data relating to new devices/technologies is increasing rapidly and will continue to grow. This International Society of Hypertension position paper describes the new devices/technologies, presents evidence relating to new BP measurement techniques and related indices, highlights standard for the validation of new devices/technologies, discusses the reliability and utility of novel BP monitoring devices, the association of these metrics with clinical outcomes, and the use of digital therapeutics. It also highlights the challenges and evidence gaps that need to be overcome before these new technologies can be considered as a user-friendly and accurate source of novel BP data to inform clinical hypertension management strategies., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)
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- 2024
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33. External validation and comparison of six cardiovascular risk prediction models in the Prospective Urban Rural Epidemiology (PURE)-Colombia study.
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Lopez-Lopez JP, Garcia-Pena AA, Martinez-Bello D, Gonzalez AM, Perez-Mayorga M, Muñoz Velandia OM, Ruiz-Uribe G, Campo A, Rangarajan S, Yusuf S, and Lopez-Jaramillo P
- Abstract
Aims: To external validate the SCORE2, AHA/ACC Pooled Cohort Equation (PCE), Framingham Risk Score (FRS), Non-Laboratory INTERHEART Risk Score (NL-IHRS), Globorisk-LAC, and WHO prediction models and compare their discrimination and calibration capacity., Methods: Validation in individuals aged 40-69 years with at least 10 years follow-up and without baseline use of statins or cardiovascular diseases from the Prospective Urban Rural Epidemiology prospective cohort study (PURE)-Colombia. For discrimination, the C-statistic, and Receiver Operating Characteristic curves with the integrated area under the curve (AUCi) were used and compared. For calibration, the smoothed time-to-event method was used, choosing a recalibration factor based on the integrated calibration index (ICI). In the NL-IHRS, linear regressions were used., Results: In 3,802 participants (59.1% women), baseline risk ranged from 4.8% (SCORE2 women) to 55.7% (NL-IHRS). After a mean follow-up of 13.2 years, 234 events were reported (4.8 cases per 1000 person-years). The C-statistic ranged between 0.637 (0.601-0.672) in NL-IHRS and 0.767 (0.657-0.877) in AHA/ACC PCE. Discrimination was similar between AUCi. In women, higher overprediction was observed in the Globorisk-LAC (61%) and WHO (59%). In men, higher overprediction was observed in FRS (72%) and AHA/ACC PCE (71%). Overestimations were corrected after multiplying by a factor derived from the ICI., Conclusions: Six prediction models had a similar discrimination capacity, supporting their use after multiplying by a correction factor. If blood tests are unavailable, NL-IHRS is a reasonable option. Our results suggest that these models could be used in other countries of Latin America after correcting the overestimations with a multiplying factor., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)
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- 2024
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34. A bipolar disorder-associated missense variant alters adenylyl cyclase 2 activity and promotes mania-like behavior.
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Sen P, Ortiz O, Brivio E, Menegaz D, Sotillos Elliott L, Du Y, Ries C, Chen A, Wurst W, Lopez JP, Eder M, and Deussing JM
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The single nucleotide polymorphism rs13166360, causing a substitution of valine (Val) 147 to leucine (Leu) in the adenylyl cyclase 2 (ADCY2), has previously been associated with bipolar disorder (BD). Here we show that the disease-associated ADCY2 missense mutation diminishes the enzyme´s capacity to generate the second messenger 3',5'-cylic adenosine monophosphate (cAMP) by altering its subcellular localization. We established mice specifically carrying the Val to Leu substitution using CRISPR/Cas9-based gene editing. Mice homozygous for the Leu variant display symptoms of a mania-like state accompanied by cognitive impairments. Mutant animals show additional characteristic signs of rodent mania models, i.e., they are hypersensitive to amphetamine, the observed mania-like behaviors are responsive to lithium treatment and the Val to Leu substitution results in a shifted excitatory/inhibitory synaptic balance towards more excitation. Exposure to chronic social defeat stress switches homozygous Leu variant carriers from a mania- to a depressive-like state, a transition which is reminiscent of the alternations characterizing the symptomatology in BD patients. Single-cell RNA-seq (scRNA-seq) revealed widespread Adcy2 mRNA expression in numerous hippocampal cell types. Differentially expressed genes particularly identified from glutamatergic CA1 neurons point towards ADCY2 variant-dependent alterations in multiple biological processes including cAMP-related signaling pathways. These results validate ADCY2 as a BD risk gene, provide insights into underlying disease mechanisms, and potentially open novel avenues for therapeutic intervention strategies., (© 2024. The Author(s).)
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- 2024
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35. Surgical Site Infection Risk Factors in Hip Arthroplasty for Transcervical Femoral Neck Fractures.
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Arriaga-Cazares HE, Rodriguez-Lopez JP, Ancira-Gonzalez F, and Charles-Lozoya S
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Background Hip fracture patients often experience surgical site infections (SSIs) as a major infectious complication after undergoing total hip arthroplasty (THA), which can lead to extended hospital stays, increased mortality, and higher healthcare costs. This study aimed to determine the incidence of SSI and identify the risk factors associated with it after THA. Objective This study aimed to explore the correlation between blood transfusion along with other factors and the occurrence of SSIs in postoperative patients who underwent THA for transcervical femoral neck fractures. Methods We conducted a retrospective analysis by reviewing the medical records of patients aged 60-80 years who underwent surgery for hip fractures at the Unidad Médica de Alta Especialidad Hospital de Traumatología y Ortopedia No. 21 in Monterrey, Mexico, between January 2020 and January 2021. We analyzed potential risk factors such as age, sex, transfusion necessity, preoperative hemoglobin levels, history of diabetes mellitus, arterial hypertension, and end-stage chronic disease. Data are presented as numbers and percentages, and statistical analyses were performed using IBM SPSS Statistics for Windows, Version 28.0 (Released 2021; IBM Corp., Armonk, New York, United States). Results The study included 87 patients, of whom 55 (63%) were women with an average age of 73 years. SSIs were identified in 12 (13.8%) patients. Among those with infections, nine (75%) had a history of blood transfusion (p=0.05). Diabetes, hypertension, and chronic kidney disease also increased the risk for infection. There was no association with gender, age, American Society of Anesthesiologists (ASA) risk, and preoperative hemoglobin. Conclusions We found a heightened risk of SSI in patients with a history of blood transfusions, emphasizing the need for careful consideration and monitoring during the perioperative period. Additionally, patients with comorbidities such as diabetes, hypertension, and chronic kidney disease were more susceptible to SSI, underscoring the importance of preoperative assessment and targeted preventive measures. Further research and collaboration are needed to refine strategies for mitigating SSI risk factors and optimizing healthcare resource utilization., Competing Interests: Human subjects: Consent was obtained or waived by all participants in this study. Unidad Médica de Alta Especialidad (UMAE) Hospital de Traumatologia y Ortopedia No. 21 Research Ethics Committee and Local Health Research Committee issued approval R-2021-1903-017. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Arriaga-Cazares et al.)
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- 2024
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36. Neck Computed Tomography Measurements Associated With Cardiovascular Risk Factors.
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Lopez JP, Brook D, Nowrouzi R, Guffey D, Gao Y, and Moron F
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Introduction Neck adiposity has been related to cardiovascular risk in healthy and nonhealthy individuals. Our objective was to evaluate the utility of anatomic neck measurements extracted from computed tomography (CT) examinations as a predictor of cardiovascular disease and its risk factors. Methods We investigated patients who had a CT neck examination with intravenous contrast performed at two hospitals between 2013 and 2020. Patients with a neck malignancy, prior neck surgery, age <18 years, incomplete demographic information, and inadequate image quality were excluded. We performed 18 separate measurements of neck anatomy which were correlated with cardiovascular risk factors and disease, as well as relevant lab values and medications. All multivariable linear regressions were controlled for gender and BMI. Associations with p<0.05 were considered statistically significant. The measurements were then used to predict hypertension using random forest, a non-linear prediction algorithm. Results Approximately 20,000 neck CT examinations with contrast were performed between 2013-2020. After applying the inclusion criteria, 458 patients remained in the study population. Eight measurements (all of which include a component of neck adiposity) showed a statistically significant association between anatomic measurements and cardiovascular risk factors. The risk factor most often associated with increases in CT measurements was type 2 diabetes. Accordingly, patients on insulin treatment had a significantly higher average for all eight measurements. Significant measurement increases were also found in those previously diagnosed with hyperlipidemia and in those being treated with hypertension medications. The area under the receiver operating characteristic (AUROC) value of the random forest prediction algorithm was 0.68, meaning our measurements were a good predictor of hypertensive disease status. Conclusion Adipose tissue measurements extracted from CT examinations of the neck are associated with cardiovascular risk factors including hypertension, diabetes, and hyperlipidemia. Machine learning models of anatomic neck measurements can potentially identify patients at risk for cardiovascular disease., Competing Interests: Human subjects: Consent was obtained or waived by all participants in this study. Baylor College of Medicine Institutional Review Board issued approval H-47632. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Lopez et al.)
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- 2024
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37. Breast density quantification in dual-energy mammography using virtual anthropomorphic phantoms.
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Pacheco G, Castillo-Lopez JP, Villaseñor-Navarro Y, and Brandan ME
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- Humans, Female, Breast diagnostic imaging, Image Processing, Computer-Assisted methods, Algorithms, Magnetic Resonance Imaging methods, Phantoms, Imaging, Mammography methods, Breast Density, Breast Neoplasms diagnostic imaging, Radiography, Dual-Energy Scanned Projection methods
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Purpose: Breast density is a significant risk factor for breast cancer and can impact the sensitivity of screening mammography. Area-based breast density measurements may not provide an accurate representation of the tissue distribution, therefore volumetric breast density (VBD) measurements are preferred. Dual-energy mammography enables volumetric measurements without additional assumptions about breast shape. In this work we evaluated the performance of a dual-energy decomposition technique for determining VBD by applying it to virtual anthropomorphic phantoms., Methods: The dual-energy decomposition formalism was used to quantify VBD on simulated dual-energy images of anthropomorphic virtual phantoms with known tissue distributions. We simulated 150 phantoms with volumes ranging from 50 to 709 mL and VBD ranging from 15% to 60%. Using these results, we validated a correction for the presence of skin and assessed the method's intrinsic bias and variability. As a proof of concept, the method was applied to 14 sets of clinical dual-energy images, and the resulting breast densities were compared to magnetic resonance imaging (MRI) measurements., Results: Virtual phantom VBD measurements exhibited a strong correlation (Pearson's r > 0.95 $r > 0.95$ ) with nominal values. The proposed skin correction eliminated the variability due to breast size and reduced the bias in VBD to a constant value of -2%. Disagreement between clinical VBD measurements using MRI and dual-energy mammography was under 10%, and the difference in the distributions was statistically non-significant. VBD measurements in both modalities had a moderate correlation (Spearman's ρ $\rho \ $ = 0.68)., Conclusions: Our results in virtual phantoms indicate that the material decomposition method can produce accurate VBD measurements if the presence of a third material (skin) is considered. The results from our proof of concept showed agreement between MRI and dual-energy mammography VBD. Assessment of VBD using dual-energy images could provide complementary information in dual-energy mammography and tomosynthesis examinations., (© 2024 The Authors. Journal of Applied Clinical Medical Physics is published by Wiley Periodicals, Inc. on behalf of The American Association of Physicists in Medicine.)
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- 2024
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38. Dual DAT and sigma receptor inhibitors attenuate cocaine effects on nucleus accumbens dopamine dynamics in rats.
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Hersey M, Mereu M, Jones CS, Bartole MK, Chen AY, Cao J, Hiranita T, Chun LE, Lopez JP, Katz JL, Newman AH, and Tanda G
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- Animals, Male, Rats, Benzhydryl Compounds pharmacology, Microdialysis methods, Modafinil pharmacology, Piperidines pharmacology, Rats, Sprague-Dawley, Cocaine pharmacology, Dopamine metabolism, Dopamine Plasma Membrane Transport Proteins antagonists & inhibitors, Dopamine Uptake Inhibitors pharmacology, Nucleus Accumbens drug effects, Nucleus Accumbens metabolism, Receptors, sigma antagonists & inhibitors
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Psychostimulant use disorders (PSUD) are prevalent; however, no FDA-approved medications have been made available for treatment. Previous studies have shown that dual inhibitors of the dopamine transporter (DAT) and sigma receptors significantly reduce the behavioral/reinforcing effects of cocaine, which have been associated with stimulation of extracellular dopamine (DA) levels resulting from DAT inhibition. Here, we employ microdialysis and fast scan cyclic voltammetry (FSCV) procedures to investigate the effects of dual inhibitors of DAT and sigma receptors in combination with cocaine on nucleus accumbens shell (NAS) DA dynamics in naïve male Sprague Dawley rats. In microdialysis studies, administration of rimcazole (3, 10 mg/kg; i.p.) or its structural analog SH 3-24 (1, 3 mg/kg; i.p.), compounds that are dual inhibitors of DAT and sigma receptors, significantly reduced NAS DA efflux stimulated by increasing doses of cocaine (0.1, 0.3, 1.0 mg/kg; i.v.). Using the same experimental conditions, in FSCV tests, we show that rimcazole pretreatments attenuated cocaine-induced stimulation of evoked NAS DA release but produced no additional effect on DA clearance rate. Under the same conditions, JJC8-091, a modafinil analog and dual inhibitor of DAT and sigma receptors, similarly attenuated cocaine-induced stimulation of evoked NAS DA release but produced no additional effect on DA clearance rate. Our results provide the neurochemical groundwork towards understanding actions of dual inhibitors of DAT and sigma receptors on DA dynamics that likely mediate the behavioral effects of psychostimulants like cocaine., (Published 2024. This article is a U.S. Government work and is in the public domain in the USA.)
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- 2024
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39. Recurrence of Glandular Odontogenic Cysts: A Systematic Review.
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Peraza Labrador A, Shrestha A, Gonzalez M, Marin NRG, Villacis M, Kesterke M, Lopez JP, and Wright J
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- Adult, Female, Humans, Male, Epithelial Cells pathology, Mandible pathology, Recurrence, Retrospective Studies, Odontogenic Cysts pathology
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Background: The glandular odontogenic cyst (GOC) is a benign developmental cyst of the jaws that is characterized by a high recurrence rate., Methods: A systematic review is presented of reported cases, case series, and retrospective studies of recurrent cases of glandular odontogenic cysts, to determine the overall and detailed demographic features with documentation of the specific histologic features of the initial presentation of each cyst. Searches of detailed databases were carried out to identify articles published in the English language from 1988 to 2023. The variables were demographics, patient symptoms, cyst location, radiographic features, histopathological findings, type of treatment, and minimum eight months of follow-up., Results: Eighteen cases were identified: with an equal gender presentation of 50% females and 50% males. The average age was 44.7. The mean size was 3.5 cm. The most common location was in the anterior mandible in 50% (n = 9) of cases, followed by the posterior mandible 27.8% (n = 5). Most patients were asymptomatic 55.6% (n = 10). The most common histologic features at first diagnosis were mucous cells in 88.9% (n = 16), variable thickness with 83.3% (n = 15), eosinophilic cuboidal cells 88.9% (n = 16), microcysts 83.3% (n = 15), and clear cells 77.8% (n = 14) cases., Conclusion: GOC has an aggressive behavior. Evidence was not conclusive to link any single or combination of histologic features to recurrence, and the strongest correlation for recurrence was the type of treatment. Since this is an uncommon cyst, more cases are needed. Follow-up should continue for at least five years, because recurrences were higher between years 3 and 5., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
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- 2024
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40. Differences in COVID-19 Vaccination and Experiences among Patients with Hypertension in Colombia and Jamaica during the COVID-19 Pandemic.
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Duncan JP, Geng S, Lindsay C, Ferguson T, Mills K, Lopez-Lopez JP, He H, Lanza P, Williams M, Tutse-Tonwe V, Reyes M, Campo A, Marshall A, Lopez-Jaramillo P, and Tulloch-Reid MK
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Background: COVID-19 vaccination and shielding targeted hypertensive patients in low and middle income countries. We describe the COVID-19 experiences of hypertensive patients in Colombia and Jamaica and discuss factors associated with vaccine acceptance., Methods: A cross-sectional study was conducted between December 2021 and February 2022 in 4 randomly selected primary care clinics in Colombia and 10 primary care clinics in Jamaica. Participants in Colombia were randomly selected from an electronic medical record. In Jamaica consecutive participants were selected on clinic days for non-communicable diseases. Interviewer-administered questionnaires were conducted by telephone., Results: 576 participants were recruited (50% Jamaica; 68.5% female). Jamaica's participants were younger (36% vs 23% <60 years) and had a lower proportion of persons with "more than high school" education (17.2% vs 30.3%, p=0.011). Colombia's participants more commonly tested positive for COVID-19 (24.2% vs 6.3%, p<0.001), had a family member or close friend test positive for COVID-19 (54.5% vs, 21.6%; p<0.001), experienced loss of a family member or friend due to COVID-19 (21.5% vs 7.8%, p<0.001) and had vaccination against COVID-19 (90.6% vs 46.7%, p<0.001). Fear of COVID-19 (AOR 2.71, 95% CI 1.20-6.13) and residence in Colombia (AOR 5.88 (95% CI 2.38-14.56) were associated with COVID-19 vaccination. Disruption in health services affecting prescription of medication or access to doctors was low (<10%) for both countries., Conclusion: Health services disruption was low but COVID-19 experiences such as fear of COVID-19 and vaccine acceptance differed significantly between Colombia and Jamaica. Addressing reasons for these differences are important for future pandemic responses.
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- 2024
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41. KS-WNK1 is required for the renal response to extreme changes in potassium intake.
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Bahena-Lopez JP, Vergara L, de la-Peña V, Gutierrez-Gallardo MA, López-Ibargüen P, García JA, Contreras-Carbajal H, Vázquez N, Rincón-Heredia R, Masso F, Bobadilla NA, Castañeda-Bueno M, Ellison DH, Gamba G, and Chávez-Canales M
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- Animals, Male, Mice, Kidney metabolism, Kidney Tubules, Distal metabolism, Mice, Inbred C57BL, Phosphorylation, Potassium urine, Potassium metabolism, Potassium blood, Protein Serine-Threonine Kinases metabolism, Protein Serine-Threonine Kinases genetics, Renal Elimination, Solute Carrier Family 12, Member 3 metabolism, Solute Carrier Family 12, Member 3 genetics, Female, Mice, Knockout, Potassium, Dietary metabolism, WNK Lysine-Deficient Protein Kinase 1 metabolism, WNK Lysine-Deficient Protein Kinase 1 genetics
- Abstract
Kidney-specific with-no-lysine kinase 1 (KS-WNK1) is an isoform of WNK1 kinase that is predominantly found in the distal convoluted tubule of the kidney. The precise physiological function of KS-WNK1 remains unclear. Some studies have suggested that it could play a role in regulating potassium renal excretion by modulating the activity of the Na
+ -Cl- cotransporter (NCC). However, changes in the potassium diet from normal to high failed to reveal a role for KS-WNK1, but under a normal-potassium diet, the expression of KS-WNK1 is negligible. It is only detectable when mice are exposed to a low-potassium diet. In this study, we investigated the role of KS-WNK1 in regulating potassium excretion under extreme changes in potassium intake. After following a zero-potassium diet (0KD) for 10 days, KS-WNK1-/- mice had lower plasma levels of K+ and Cl- while exhibiting higher urinary excretion of Na+ , Cl- , and K+ compared with KS-WNK1+/+ mice. After 10 days of 0KD or normal-potassium diet (NKD), all mice were challenged with a high-potassium diet (HKD). Plasma K+ levels markedly increased after the HKD challenge only in mice previously fed with 0KD, regardless of genotype. KSWNK1+/+ mice adapt better to HKD challenge than KS-WNK1-/- mice after a potassium-retaining state. The difference in the phosphorylated NCC-to-NCC ratio between KS-WNK1+/+ and KS-WNK1-/- mice after 0KD and HKD indicates a role for KS-WNK1 in both NCC phosphorylation and dephosphorylation. These observations show that KS-WNK1 helps the distal convoluted tubule to respond to extreme changes in potassium intake, such as those occurring in wildlife. NEW & NOTEWORTHY The findings of this study demonstrate that kidney-specific with-no-lysine kinase 1 plays a role in regulating urinary electrolyte excretion during extreme changes in potassium intake, such as those occurring in wildlife. .- Published
- 2024
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42. Arginine vasopressin regulates the renal Na + -Cl - and Na + -K + -Cl - cotransporters through with-no-lysine kinase 4 and inhibitor 1 phosphorylation.
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Carbajal-Contreras H, Murillo-de-Ozores AR, Magaña-Avila G, Marquez-Salinas A, Bourqui L, Tellez-Sutterlin M, Bahena-Lopez JP, Cortes-Arroyo E, Behn-Eschenburg SG, Lopez-Saavedra A, Vazquez N, Ellison DH, Loffing J, Gamba G, and Castañeda-Bueno M
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- Mice, Humans, Animals, Phosphorylation, HEK293 Cells, K Cl- Cotransporters, Deamino Arginine Vasopressin, Colforsin, Protein Phosphatase 1 metabolism, Kidney metabolism, Solute Carrier Family 12, Member 3 metabolism, Cyclic AMP-Dependent Protein Kinases metabolism, Protein Serine-Threonine Kinases metabolism, Arginine Vasopressin metabolism
- Abstract
Vasopressin regulates water homeostasis via the V2 receptor in the kidney at least in part through protein kinase A (PKA) activation. Vasopressin, through an unknown pathway, upregulates the activity and phosphorylation of Na
+ -Cl- cotransporter (NCC) and Na+ -K+ -2Cl- cotransporter 2 (NKCC2) by Ste20-related proline/alanine-rich kinase (SPAK) and oxidative stress-responsive kinase 1 (OSR1), which are regulated by the with-no-lysine kinase (WNK) family. Phosphorylation of WNK4 at PKA consensus motifs may be involved. Inhibitor 1 (I1), a protein phosphatase 1 (PP1) inhibitor, may also play a role. In human embryonic kidney (HEK)-293 cells, we assessed the phosphorylation of WNK4, SPAK, NCC, or NKCC2 in response to forskolin or desmopressin. WNK4 and cotransporter phosphorylation were studied in desmopressin-infused WNK4-/- mice and in tubule suspensions. In HEK-293 cells, only wild-type WNK4 but not WNK1, WNK3, or a WNK4 mutant lacking PKA phosphorylation motifs could upregulate SPAK or cotransporter phosphorylation in response to forskolin or desmopressin. I1 transfection maximized SPAK phosphorylation in response to forskolin in the presence of WNK4 but not of mutant WNK4 lacking PP1 regulation. We observed direct PP1 regulation of NKCC2 dephosphorylation but not of NCC or SPAK in the absence of WNK4. WNK4-/- mice with desmopressin treatment did not increase SPAK/OSR1, NCC, or NKCC2 phosphorylation. In stimulated tubule suspensions from WNK4-/- mice, upregulation of pNKCC2 was reduced, whereas upregulation of SPAK phosphorylation was absent. These findings suggest that WNK4 is a central node in which kinase and phosphatase signaling converge to connect cAMP signaling to the SPAK/OSR1-NCC/NKCC2 pathway. NEW & NOTEWORTHY With-no-lysine kinases regulate the phosphorylation and activity of the Na+ -Cl- and Na+ -K+ -2Cl- cotransporters. This pathway is modulated by arginine vasopressin (AVP). However, the link between AVP and WNK signaling remains unknown. Here, we show that AVP activates WNK4 through increased phosphorylation at putative protein kinase A-regulated sites and decreases its dephosphorylation by protein phosphatase 1. This work increases our understanding of the signaling pathways mediating AVP actions in the kidney.- Published
- 2024
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43. Sex Differences in Cardiovascular Disease Risk Factor Prevalence, Morbidity, and Mortality in Colombia: Findings from the Prospective Urban Rural Epidemiology (PURE) Study.
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Lopez-Lopez JP, Toro MR, Martinez-Bello D, Garcia-Peña ÁA, O'Donovan G, Perez-Mayorga M, Otero J, Rangarajan S, Yusuf S, and Lopez-Jaramillo P
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- Adult, Humans, Female, Male, Prospective Studies, Colombia epidemiology, Prevalence, Sex Characteristics, Risk Factors, Heart Disease Risk Factors, Cardiovascular Diseases epidemiology, Hypertension, Diabetes Mellitus epidemiology
- Abstract
Background: Controversies exist on whether the presence of cardiovascular risk factors and their association with major cardiovascular events (MACE) is different between men and women. Most of the evidence comes from high-income countries, hindering extrapolation of sociocultural and demographic factors of other regions., Objective: To evaluate sex differences in the prevalence of cardiovascular risk factors and the incidence of MACE and diabetes in Colombian adults., Methods: We performed a survival analysis from women and men aged 35-70 belonging to the Prospective Urban Rural Epidemiology-Colombia prospective study. Incidence rates for MACE composite (myocardial infarction, stroke, heart failure, death) and each outcome and diabetes were calculated. Kaplan-Meier curves and log-rank tests were performed. The association between demographic, behavioral, and metabolic variables with MACE and diabetes were evaluated with Cox proportional hazards models., Results: 7,552 participants (50±9.7 years) were included; 64% were women. Women had higher hypertension prevalence, body mass index, levels of total cholesterol, LDL-c, and HDL-c but lower triglycerides levels. Women were more sedentary but fewer smokers or active alcohol consumers and had higher educational levels. After 12-year mean follow-up (SD 2.3), the incidence rate of MACE composite was higher in men [4.2 (3.6-4.9) vs. 3.2 (2.8-3.7) cases per 1000 person-years]. Diabetes had the greatest association with MACE (HR = 2.63 95%CI:1.85;3.76), followed by hypertension (HR = 1.75 95%CI:1.30;2.35), low relative grip strength (HR = 1.53 95%CI:1.15;2.02), smoking (HR = 1.47 95%CI: 1.11;1.93), low physical activity (HR = 1.42 95%CI: 1.03;1.96). When evaluating risk factors by sex, only an increased waist-to-hip ratio was more strongly associated with MACE in men (p-interaction <0.05)., Conclusions: The composite MACE outcome was higher in men despite having a lower overall burden of risk factors. The risk factors contribution was similar, leading us to reconsider the need to carrying out differentiated cardiovascular risk prevention and management campaigns, at least in our region., Competing Interests: The authors have no competing interests to declare., (Copyright: © 2024 The Author(s).)
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- 2024
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44. Neuropsychiatric research in 2023: mechanisms of stress and therapies.
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Lopez JP and Chen A
- Abstract
Competing Interests: We declare no competing interests.
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- 2024
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45. Understanding the Causes of Frailty Using a Life-Course Perspective: A Systematic Review.
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Barrera A, Rezende LFM, Sabag A, Keating CJ, and Rey-Lopez JP
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(1) Background: Few studies have examined risk factors of frailty during early life and mid-adulthood, which may be critical to prevent frailty and/or postpone it. The aim was to identify early life and adulthood risk factors associated with frailty. (2) Methods: A systematic review of cohort studies (of at least 10 years of follow-up), using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PRISMA). A risk of confounding score was created by the authors for risk of bias assessment. Three databases were searched from inception until 1 January 2023 (Web of Science, Embase, PubMed). Inclusion criteria were any cohort study that evaluated associations between any risk factor and frailty. (3) Results: Overall, a total of 5765 articles were identified, with 33 meeting the inclusion criteria. Of the included studies, only 16 were categorized as having a low risk of confounding due to pre-existing diseases. The long-term risk of frailty was lower among individuals who were normal weight, physically active, consumed fruits and vegetables regularly, and refrained from tobacco smoking, excessive alcohol intake, and regular consumption of sugar or artificially sweetened drinks. (4) Conclusions: Frailty in older adults might be prevented or postponed with behaviors related to ideal cardiovascular health.
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- 2023
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46. Apoptotic signaling clears engineered Salmonella in an organ-specific manner.
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Abele TJ, Billman ZP, Li L, Harvest CK, Bryan AK, Magalski GR, Lopez JP, Larson HN, Yin XM, and Miao EA
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- Animals, Mice, Cell Death, Caspase 1 metabolism, Salmonella typhimurium genetics, Salmonella typhimurium metabolism, Pyroptosis, Inflammasomes metabolism, Flagellin, Apoptosis
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Pyroptosis and apoptosis are two forms of regulated cell death that can defend against intracellular infection. When a cell fails to complete pyroptosis, backup pathways will initiate apoptosis. Here, we investigated the utility of apoptosis compared to pyroptosis in defense against an intracellular bacterial infection. We previously engineered Salmonella enterica serovar Typhimurium to persistently express flagellin, and thereby activate NLRC4 during systemic infection in mice. The resulting pyroptosis clears this flagellin-engineered strain. We now show that infection of caspase-1 or gasdermin D deficient macrophages by this flagellin-engineered S. Typhimurium induces apoptosis in vitro. Additionally, we engineered S. Typhimurium to translocate the pro-apoptotic BH3 domain of BID, which also triggers apoptosis in macrophages in vitro. During mouse infection, the apoptotic pathway successfully cleared these engineered S. Typhimurium from the intestinal niche but failed to clear the bacteria from the myeloid niche in the spleen or lymph nodes. In contrast, the pyroptotic pathway was beneficial in defense of both niches. To clear an infection, cells may have specific tasks that they must complete before they die; different modes of cell death could initiate these 'bucket lists' in either convergent or divergent ways., Competing Interests: TA, ZB, LL, CH, AB, GM, JL, HL, XY, EM No competing interests declared, (© 2023, Abele et al.)
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- 2023
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47. Early life adversity shapes social subordination and cell type-specific transcriptomic patterning in the ventral hippocampus.
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Kos A, Lopez JP, Bordes J, de Donno C, Dine J, Brivio E, Karamihalev S, Luecken MD, Almeida-Correa S, Gasperoni S, Dick A, Miranda L, Büttner M, Stoffel R, Flachskamm C, Theis FJ, Schmidt MV, and Chen A
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- Humans, Mice, Animals, Transcriptome, Stress, Psychological genetics, Stress, Psychological psychology, Hippocampus, Adverse Childhood Experiences, Mental Disorders
- Abstract
Adverse events in early life can modulate the response to additional stressors later in life and increase the risk of developing psychiatric disorders. The underlying molecular mechanisms responsible for these effects remain unclear. Here, we uncover that early life adversity (ELA) in mice leads to social subordination. Using single-cell RNA sequencing (scRNA-seq), we identified cell type-specific changes in the transcriptional state of glutamatergic and GABAergic neurons in the ventral hippocampus of ELA mice after exposure to acute social stress in adulthood. These findings were reflected by an alteration in excitatory and inhibitory synaptic transmission induced by ELA in response to acute social stress. Finally, enhancing the inhibitory network function through transient diazepam treatment during an early developmental sensitive period reversed the ELA-induced social subordination. Collectively, this study significantly advances our understanding of the molecular, physiological, and behavioral alterations induced by ELA, uncovering a previously unknown cell type-specific vulnerability to ELA.
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- 2023
- Full Text
- View/download PDF
48. Waist circumference cut-off points to identify major cardiovascular events and incident diabetes in Latin America: findings from the prospective Urban rural epidemiology study Colombia.
- Author
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Lopez-Lopez JP, Gonzalez AM, Lanza P, Martinez-Bello D, Gomez-Arbelaez D, Otero J, Cohen DD, Perez-Mayorga M, Garcia-Peña AA, Rangarajan S, Yusuf S, and Lopez-Jaramillo P
- Abstract
Background: Abdominal obesity (AO) indirectly represents visceral adiposity and can be assessed by waist circumference (WC) measurement. In Latin America, cut-off points for the diagnosis of AO are based on Asian population data. We aim to establish the WC cut-off points to predict major cardiovascular events (MACE) and incident diabetes., Methods: We analyzed data from the cohort PURE study in Colombia. WC cut-off points were defined according to the maximum Youden index. Multivariate logistic regression was used to obtain associations between WC and MACE, diabetes, and cumulative incidence of outcomes visualized using Kaplan-Meier curves., Results: After a mean follow-up of 12 years, 6,580 individuals with a mean age of 50.7 ± 9.7 years were included; 64.2% were women, and 53.5% were from rural areas. The mean WC was 85.2 ± 11.6 cm and 88.3 ± 11.1 cm in women and men, respectively. There were 635 cases of the MACE composite plus incident diabetes (5.25 events per 1,000 person-years). Using a cut-off value of 88.85 cm in men (sensitivity = 0.565) and 85.65 cm in women (sensitivity = 0.558) resulted in the highest value for the prediction of the main outcome. These values were associated with a 1.76 and 1.41-fold increased risk of presenting the composite outcome in men and women, respectively., Conclusions: We defined WC cut-off points of 89 cm in men and 86 cm in women to identify the elevated risk of MACE and incident diabetes. Therefore, we suggest using these values in cardiovascular risk assessment in Latin America., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2023 Lopez-Lopez, Gonzalez, Lanza, Martinez-Bello, Gomez-Arbelaez, Otero, Cohen, Perez-Mayorga, Garcia-Peña, Rangarajan, Yusuf and Lopez-Jaramillo.)
- Published
- 2023
- Full Text
- View/download PDF
49. Left-dominant arrhythmogenic cardiomyopathy due to desmoplakin mutation: a case report.
- Author
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Lemus Barrios GA, Lopez-Lopez JP, Barbosa-Balaguera S, and Correa AM
- Subjects
- Humans, Male, Middle Aged, Magnetic Resonance Imaging, Cine methods, Arrhythmogenic Right Ventricular Dysplasia genetics, Arrhythmogenic Right Ventricular Dysplasia diagnosis, Arrhythmogenic Right Ventricular Dysplasia physiopathology, Electrocardiography, Cardiomyopathy, Dilated genetics, Cardiomyopathy, Dilated diagnosis, Cardiomyopathy, Dilated physiopathology, DNA genetics, Desmoplakins genetics, Mutation
- Abstract
The case of a 49-year-old man with acute onset of heart failure is presented. The initial work-up showed a dilated cardiomyopathy with severely reduced left ventricular ejection fraction. In the differential diagnostic process, hypertensive, ischaemic, and valvular aetiologies were discarded. Subsequently, a cardiac magnetic resonance revealed global hypokinesis and inferior and anterior subepicardial fibrosis. Once differential diagnoses of subepicardial fibrosis (myocarditis, sarcoidosis, and Chagas disease) were discarded, a genetic panel was performed, resulting in a heterozygous mutation of desmoplakin (DSP) gene c.6697_6698del. A left-dominant DSP arrhythmogenic cardiomyopathy mutation was diagnosed. Structural myocardial abnormalities and ventricular arrhythmias characterize arrhythmogenic cardiomyopathy. Up to 50% of cases are associated with mutations in DSP genes (JUP, DSP, and PKP2). DSP is the fundamental component of the desmosome structure and provides structural support through intercellular adhesion. Therefore, when frequent differential diagnoses are discarded, genetic studies for dilated cardiomyopathy and DSP mutation should be considered., (© 2023 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)
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- 2023
- Full Text
- View/download PDF
50. Medically ready for discharge: A multisite "point-in-time" assessment of hospitalized patients.
- Author
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Bann M, Meo N, Lopez JP, Ou A, Rosenthal M, Khawaja H, Goodman LA, Barone M, Coleman B, High HJ, Overbeek L, Shelbourn P, VerMaas L, Baughman A, Sekaran A, Cyrus R, O'Dorisio N, Beatty L, Loica-Mersa S, Kubey A, Jaffe R, Vokoun C, Koom-Dadzie K, Graves K, Tuck M, and Helgerson P
- Subjects
- Humans, Cross-Sectional Studies, Length of Stay, Hospitals, Patient Discharge, Hospitalization
- Abstract
Background: Time spent awaiting discharge after the acute need for hospitalization has resolved is an important potential contributor to hospital length of stay (LOS)., Objective: To measure the prevalence, impact, and context of patients who remain hospitalized for prolonged periods after completion of acute care needs., Design, Setting, and Participants: We conducted a cross-sectional "point-in-time" survey at each of 15 academic US hospitals using a structured data collection tool with on-service acute care medicine attending physicians in fall 2022., Main Outcomes and Measures: Primary outcomes were number and percentage of patients considered "medically ready for discharge" with emphasis on those who had experienced a "major barrier to discharge" (medically ready for discharge for ≥1 week). Estimated LOS attributable to major discharge barriers, contributory discharge needs, and associated hospital characteristics were measured., Results: Of 1928 patients sampled, 35.0% (n = 674) were medically ready for discharge including 9.8% (n = 189) with major discharge barriers. Many patients with major discharge barriers (44.4%; 84/189) had spent a month or longer medically ready for discharge and commonly (84.1%; 159/189) required some form of skilled therapy or daily living support services for discharge. Higher proportions of patients experiencing major discharge barriers were found in public versus private, nonprofit hospitals (12.0% vs. 7.2%; p = .001) and county versus noncounty hospitals (14.5% vs. 8.8%; p = .002)., Conclusions: Patients experience major discharge barriers in many US hospitals and spend prolonged time awaiting discharge, often for support needs that may be outside of clinician control., (© 2023 Society of Hospital Medicine.)
- Published
- 2023
- Full Text
- View/download PDF
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