91 results on '"Alvarez D"'
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2. Associations of changes in fat free mass with risk for type 2 diabetes: Hispanic Community Health Study/Study of Latinos
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LeCroy, M.N., Hua, S., Kaplan, R.C., Sotres-Alvarez, D., Qi, Q., Thyagarajan, B., Gallo, L.C., Pirzada, A., Daviglus, M.L., Schneiderman, N., Talavera, G.A., and Isasi, C.R.
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- 2021
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3. Enabling Real-Time Quality Inspection in Smart Manufacturing Through Wearable Smart Devices and Deep Learning
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Sarivan, I.-M., Greiner, Johannes N., Álvarez, D. Díez, Euteneuer, F., Reichenbach, M., Madsen, O., and Bøgh, S.
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- 2020
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4. Prevalence of Mycobacterium leprae and Mycobacterium lepromatosis in roadkill armadillos in Brazil
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Monsalve-Lara, J, Drummond, M, Romero-Alvarez, D, Velho, PENF, Jiménez-García, D, Marques, R, Peterson, AT, Angerami, RN, Silva, DP, and Donalisio, MR
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- 2024
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5. Effect of progesterone on the vaccination and immune response against Chlamydia abortus in sheep
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Murcia-Belmonte, A., Álvarez, D., Ortega, N., Navarro, J.A., Gómez-Lucía, E., Buendía, A.J., Sánchez, J., del Río, L., Salinas, J., and Caro, M.R.
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- 2019
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6. Effect of Sb in thick InGaAsSbN layers grown by liquid phase epitaxy
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Donchev, V., Milanova, M., Asenova, I., Shtinkov, N., Alonso-Álvarez, D., Mellor, A., Karmakov, Y., Georgiev, S., and Ekins-Daukes, N.
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- 2018
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7. Structural characterization and barrier properties of hybrid sol-gel films applied on tinplate
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Álvarez, D., Collazo, A., and Pérez, C.
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- 2017
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8. Synthesis, structural and spectroscopic studies of 2-oxoacenaphthylen-1(2H)-ylidene nicotinohydrazide
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Henriques, M.S.C., Del Amparo, R., Pérez-Álvarez, D., Nogueira, B.A., Rodríguez-Argüelles, M.C., and Paixão, J.A.
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- 2017
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9. Assessment of ZnO nanoparticles as anticorrosive pigment in hybrid sol–gel films
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Álvarez, D., Collazo, A., Nóvoa, X.R., and Pérez, C.
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- 2016
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10. Influence of copper support on the charge transfer enhancement of zinc oxide nanoflakes
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Ramos-Álvarez, D., Hernández-Rodríguez, Y.M., Vega-Gómez, J., and Cigarroa-Mayorga, O.E.
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- 2023
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11. Copper(I) complexes of methyl 4-aryl-6-methyl-3,4-dihydropyrimidine-2(1H)-thione-5-carboxylates. Synthesis, characterization and activity in human breast cancer cells
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González-Ballesteros, N., Pérez-Álvarez, D., Henriques, M.S.C., Nascimento, B.F.O., Laranjo, M., Santos, K., Casalta-Lopes, J., Abrantes, A.M., Botelho, M.F., Pineiro, M., Paixão, J.A., and Rodríguez-Argüelles, M.C.
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- 2015
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12. Electrochemical behavior of organic/inorganic films applied on tinplate in different aggressive media
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Álvarez, D., Collazo, A., Nóvoa, X.R., and Pérez, C.
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- 2014
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13. Application of reflectance parameters in the estimation of the structural order of coals and carbonaceous materials. Precision and bias of measurements derived from the ICCP structural working group
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Pusz, S., Borrego, A.G., Alvarez, D., Camean, I., du Cann, V., Duber, S., Kalkreuth, W., Komorek, J., Kus, J., Kwiecińska, B.K., Libera, M., Marques, M., Misz-Kennan, M., Morga, R., Rodrigues, S., Smędowski, Ł., Suarez-Ruiz, I., and Strzezik, J.
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- 2014
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14. The use of sol–gel film as pre-treatment for tinplate used in the canning industry
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Álvarez, D., Collazo, A., and Pérez, C.
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- 2013
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15. Sleep Health and BMI among Hispanic/Latino Women in HCHS/SOL Baseline and Sueño Ancillary Study
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Roncoroni, J., Whitaker, S., Heitman, E., Thorpe, R.J., Jr., Patel, S.R., Zee, P.C., Kaur, S.S., Perreira, K.M., Sotres-Alvarez, D., and Ramos, A.R.
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- 2024
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16. Effect of Sugar Intake on Glucose and HDL-cholesterol on College Students with Varying Levels of Exercise.
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Lopez, M. and Aguilar-Alvarez, D.
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HIGH density lipoproteins , *EXERCISE physiology , *FOOD consumption , *CONFERENCES & conventions , *BLOOD sugar , *DIETARY carbohydrates , *COLLEGE students - Published
- 2024
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17. Characterization of hybrid sol–gel coatings doped with hydrotalcite-like compounds to improve corrosion resistance of AA2024-T3 alloys
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Álvarez, D., Collazo, A., Hernández, M., Nóvoa, X.R., and Pérez, C.
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- 2010
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18. The procedure used to develop a coal char classification—Commission III Combustion Working Group of the International Committee for Coal and Organic Petrology
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Lester, E., Alvarez, D., Borrego, A.G., Valentim, B., Flores, D., Clift, D.A., Rosenberg, P., Kwiecinska, B., Barranco, R., Petersen, H.I., Mastalerz, M., Milenkova, K.S., Panaitescu, C., Marques, M.M., Thompson, A., Watts, D., Hanson, S., Predeanu, G., Misz, M., and Wu, Tao
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- 2010
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19. Comparison of two stunning/slaughtering methods on stress response and quality indicators of European sea bass ( Dicentrarchus labrax)
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Acerete, L., Reig, L., Alvarez, D., Flos, R., and Tort, L.
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- 2009
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20. Risk profiles and one-year outcomes of patients with newly diagnosed atrial fibrillation in India: Insights from the GARFIELD-AF Registry
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Sawhney, J, Kothiwale, V, Bisne, V, Durgaprasad, R, Jadhav, P, Chopda, M, Vanajakshamma, V, Meena, R, Vijayaraghavan, G, Chawla, K, Allu, J, Pieper, K, John Camm, A, Kakkar, A, Bassand, J, Fitzmaurice, D, Goldhaber, S, Goto, S, Haas, S, Hacke, W, Mantovani, L, Misselwitz, F, Turpie, A, van Eickels, M, Verheugt, F, Kayani, G, Fox, K, Gersh, B, Luciardi, H, Gibbs, H, Brodmann, M, Cools, F, Barretto, A, Connolly, S, Spyropoulos, A, Eikelboom, J, Corbalan, R, Hu, D, Jansky, P, Nielsen, J, Ragy, H, Raatikainen, P, Le Heuzey, J, Darius, H, Keltai, M, Kakkar, S, Agnelli, G, Ambrosio, G, Koretsune, Y, Sanchez Diaz, C, Ten Cate, H, Atar, D, Stepinska, J, Panchenko, E, Lim, T, Jacobson, B, Oh, S, Vinolas, X, Rosenqvist, M, Steffel, J, Angchaisuksiri, P, Oto, A, Parkhomenko, A, Al Mahmeed, W, Chen, K, Zhao, Y, Zhang, H, Chen, J, Cao, S, Wang, D, Yang, Y, Li, W, Yin, Y, Tao, G, Yang, P, Chen, Y, He, S, Wang, Y, Fu, G, Li, X, Wu, T, Cheng, X, Yan, X, Zhao, R, Chen, M, Xiong, L, Chen, P, Jiao, Y, Guo, Y, Xue, L, Wang, F, Li, H, Yang, Z, Bai, C, Chen, X, Feng, S, Fu, Q, Gao, X, Guo, W, He, R, He, X, Hu, X, Huang, X, Li, B, Li, J, Li, L, Li, Y, Liu, T, Liu, W, Liu, Y, Lu, Z, Luo, X, Ma, T, Peng, J, Sheng, X, Shi, X, Sun, Y, Tian, G, Wang, K, Wang, L, Wu, R, Xie, Q, Xu, R, Yang, J, Yang, L, Yang, Q, Ye, Y, Yu, H, Yu, J, Yu, T, Zhai, H, Zhan, Q, Zhang, G, Zhang, Q, Zhang, R, Zhang, Y, Zheng, W, Zhou, B, Zhou, Z, Zhu, X, Ravi Shankar, A, Rajput, R, Bhargava, K, Sarma, R, Srinivas, A, Roy, D, Nagamalesh, U, Kishore, R, Kulkarni, G, Chandwani, P, Pothiwala, R, Padinhare Purayil, M, Shah, S, Raghuraman, B, Vijan, V, Bantwal, G, Khan, A, Gupta, J, Kumar, S, Jain, D, Abraham, S, Adak, D, Barai, A, Begum, H, Bhattacharjee, P, Dargude, M, Davies, D, Deshpande, B, Dhakrao, P, Dhyani, V, Duhan, S, Earath, M, Ganatra, A, Giradkar, S, Jain, V, Karthikeyan, R, Kasala, L, Kaur, S, Krishnappa, S, Lawande, A, Lokesh, B, Madarkar, N, More, P, Naik, D, Prashanth, K, Rao, M, Rao, N, Sadhu, N, Shah, D, Sharma, M, Shiva, P, Singhal, S, Suresh, S, Panse, S, Kanamori, S, Yamamoto, K, Kumagai, K, Katsuda, Y, Sadamatsu, K, Toyota, F, Mizuno, Y, Misumi, I, Noguchi, H, Ando, S, Suetsugu, T, Minamoto, M, Oda, H, Shiraishi, K, Adachi, S, Chiba, K, Norita, H, Tsuruta, M, Koyanagi, T, Ando, H, Higashi, T, Okada, K, Azakami, S, Komaki, S, Kumeda, K, Murayama, T, Matsumura, J, Oba, Y, Sonoda, R, Goto, K, Minoda, K, Haraguchi, Y, Suefuji, H, Miyagi, H, Kato, H, Nakamura, T, Nandate, H, Zaitsu, R, Fujiura, Y, Yoshimura, A, Numata, H, Ogawa, J, Tatematsu, H, Kamogawa, Y, Murakami, K, Wakasa, Y, Yamasawa, M, Maekawa, H, Abe, S, Kihara, H, Tsunoda, S, Saito, K, Fudo, T, Obunai, K, Tachibana, H, Oba, I, Kuwahata, T, Higa, S, Gushiken, M, Eto, T, Yoshida, H, Ikeda, D, Ishizawa, M, Nakatsuka, M, Murata, K, Ogurusu, C, Shimoyama, M, Akutsu, M, Takamura, I, Hoshino, F, Yokota, N, Iwao, T, Tsuchida, K, Takeuchi, M, Hatori, Y, Kitami, Y, Nakamura, Y, Oyama, R, Ageta, M, Go, Y, Mishima, K, Unoki, T, Morii, S, Shiga, Y, Sumi, H, Nagatomo, T, Sanno, K, Fujisawa, K, Atsuchi, Y, Nagoshi, T, Seto, T, Tabuchi, T, Kameko, M, Nii, K, Oshiro, K, Takezawa, H, Nagano, S, Miyamoto, N, Iwaki, M, Fujii, M, Okawa, M, Abe, M, Saito, T, Mito, T, Nagao, K, Minami, J, Mita, T, Sakuma, I, Taguchi, T, Marusaki, S, Doi, H, Tanaka, M, Fujito, T, Matsuta, M, Kusumoto, T, Kakinoki, S, Ashida, K, Yoshizawa, N, Agata, J, Arasaki, O, Manita, M, Ikemura, M, Fukuoka, S, Murakami, H, Matsukawa, S, Hata, Y, Taniguchi, T, Ko, T, Kubo, H, Imamaki, M, Akiyama, M, Inagaki, M, Odakura, H, Ueda, T, Katsube, Y, Nakata, A, Watanabe, H, Techigawara, M, Igarashi, M, Taga, K, Kimura, T, Tomimoto, S, Shibuya, M, Nakano, M, Ito, K, Seo, T, Hiramitsu, S, Hosokawa, H, Hoshiai, M, Hibino, M, Miyagawa, K, Horie, H, Sugishita, N, Soma, A, Neya, K, Yoshida, T, Mizuguchi, M, Ishiguro, M, Minagawa, T, Wada, M, Mukawa, H, Okuda, F, Nagasaka, S, Abe, Y, Adachi, T, Akahane, K, Amano, T, Aoki, K, Aoyama, T, Arai, H, Arima, S, Arino, T, Asano, H, Asano, T, Azuma, J, Baba, T, Betsuyaku, T, Chibana, H, Date, H, Doiuchi, J, Emura, Y, Endo, M, Fujii, Y, Fujiki, R, Fujisawa, A, Fujisawa, Y, Fukuda, T, Fukui, T, Furukawa, N, Furukawa, T, Furumoto, W, Goto, T, Hamaoka, M, Hanazono, N, Hasegawa, K, Hatsuno, T, Hayashi, Y, Higuchi, K, Hirasawa, K, Hirayama, H, Hirose, M, Hirota, S, Honda, M, Ido, T, Iiji, O, Ikeda, H, Ikeda, K, Ikeoka, K, Imaizumi, M, Inaba, H, Inoue, T, Iseki, F, Ishihara, A, Ishioka, N, Ito, N, Iwase, T, Kakuda, H, Kamata, J, Kanai, H, Kanda, H, Kaneko, M, Kano, H, Kasai, T, Kato, T, Kato, Y, Kawada, Y, Kawai, K, Kawakami, K, Kawakami, S, Kawamoto, T, Kawano, S, Kim, J, Kira, T, Kitazawa, H, Kitazumi, H, Kito, T, Kobayashi, T, Koeda, T, Kojima, J, Komatsu, H, Komatsu, I, Koshibu, Y, Kotani, T, Kozuka, T, Kumai, Y, Kumazaki, T, Maeda, I, Maeda, K, Maruyama, Y, Matsui, S, Matsushita, K, Matsuura, Y, Mineoi, K, Mitsuhashi, H, Miura, N, Miyaguchi, S, Miyajima, S, Miyamoto, H, Miyashita, A, Miyata, S, Mizuguchi, I, Mizuno, A, Mori, T, Moriai, O, Morishita, K, Murai, O, Nagai, S, Nagata, E, Nagata, H, Nakagomi, A, Nakahara, S, Nakamura, M, Nakamura, R, Nakanishi, N, Nakayama, T, Nakazato, R, Nanke, T, Nariyama, J, Niijima, Y, Niinuma, H, Nishida, Y, Nishihata, Y, Nishino, K, Nishioka, H, Nishizawa, K, Niwa, I, Nomura, K, Nomura, S, Nozoe, M, Ogawa, T, Ohara, N, Okada, M, Okamoto, K, Okita, H, Okuyama, M, Ono, H, Ono, T, Onuki Pearce, Y, Oriso, S, Ota, A, Otaki, E, Saito, Y, Sakai, H, Sakamoto, N, Sakamoto, Y, Samejima, Y, Sasagawa, Y, Sasaguri, H, Sasaki, A, Sasaki, T, Sato, K, Sawano, M, Seki, S, Sekine, Y, Seta, Y, Sezaki, K, Shibata, N, Shiina, Y, Shimono, H, Shimoyama, Y, Shindo, T, Shinohara, H, Shinohe, R, Shinozuka, T, Shirai, T, Shiraiwa, T, Shozawa, Y, Suga, T, Sugimoto, C, Suzuki, K, Suzuki, S, Suzuki, Y, Tada, M, Taguchi, A, Takagi, T, Takagi, Y, Takahashi, K, Takahashi, S, Takai, H, Takanaka, C, Take, S, Takeda, H, Takei, K, Takenaka, K, Tana, T, Tanabe, G, Taya, K, Teragawa, H, Tohyo, S, Toru, S, Tsuchiya, Y, Tsuji, T, Tsuzaki, K, Uchiyama, H, Ueda, O, Ueyama, Y, Wakaki, N, Wakiyama, T, Washizuka, T, Watanabe, M, Yamada, T, Yamagishi, T, Yamaguchi, H, Yamamoto, T, Yamaura, M, Yamazoe, M, Yasui, K, Yokoyama, Y, Yoshida, K, Ching, C, Foo, C, Chow, J, Chen, D, Jaufeerally, F, Lee, Y, Lim, G, Lim, W, Thng, S, Yap, S, Yeo, C, Pak, H, Jang, S, Kim, D, Ryu, D, Park, S, Choi, D, Oh, Y, Cho, M, Kim, S, Jeon, H, Shin, D, Park, J, Park, H, Han, S, Sung, J, Cho, J, Nam, G, On, Y, Lim, H, Kwak, J, Cha, T, Hong, T, Yoon, J, Kim, N, Kim, K, Jung, B, Hwang, G, Kim, C, Ahn, J, An, H, Bae, H, Baek, A, Chi, W, Choi, E, Choi, H, Heo, E, Her, K, Hwang, S, Jang, E, Jang, H, Jeon, S, Jeon, Y, Jeong, H, Jung, I, Kim, H, Kim, M, Kim, Y, Lee, C, Lee, E, Lee, G, Lee, H, Lee, K, Lee, M, Lee, R, Lee, S, Lee, W, Noh, I, Park, A, Park, B, Park, M, Park, Y, Seo, S, Shim, J, Sim, J, Sohn, Y, Son, W, Son, Y, Song, H, Wi, H, Woo, J, Ye, S, Yim, K, Yoo, K, Yoon, E, Yun, S, Chawanadelert, S, Mongkolwongroj, P, Kanokphatcharakun, K, Cheewatanakornkul, S, Laksomya, T, Pattanaprichakul, S, Chantrarat, T, Rungaramsin, S, Silaruks, S, Wongcharoen, W, Siriwattana, K, Likittanasombat, K, Katekangplu, P, Boonyapisit, W, Cholsaringkarl, D, Chatlaong, B, Chattranukulchai, P, Santanakorn, Y, Hutayanon, P, Khunrong, P, Bunyapipat, T, Jai-Aue, S, Kaewsuwanna, P, Bamungpong, P, Gunaparn, S, Hongsuppinyo, S, Inphontan, R, Khattaroek, R, Khunkong, K, Kitmapawanont, U, Kongsin, C, Naratreekoon, B, Ninwaranon, S, Phangyota, J, Phrommintikul, A, Phunpinyosak, P, Pongmorakot, K, Poomiphol, S, Pornnimitthum, N, Pumprueg, S, Ratchasikaew, S, Sanit, K, Sawanyawisuth, K, Silaruks, B, Sirichai, R, Sriwichian, A, Suebjaksing, W, Sukklad, P, Suttana, T, Tangsirira, A, Thangpet, O, Tiyanon, W, Vorasettakarnkij, Y, Wisaratapong, T, Wongtheptien, W, Wutthimanop, A, Yawila, S, Altun, A, Ozdogru, I, Ozdemir, K, Yilmaz, O, Aydinlar, A, Yilmaz, M, Yeter, E, Ongen, Z, Cayli, M, Pekdemir, H, Ozdemir, M, Sucu, M, Sayin, T, Demir, M, Yorgun, H, Ersanli, M, Okuyan, E, Aras, D, Abdelrahman, H, Aktas, O, Alpay, D, Aras, F, Bireciklioglu, M, Budeyri, S, Buyukpapuc, M, Caliskan, S, Esen, M, Felekoglu, M, Genc, D, Ikitimur, B, Karaayvaz, E, Kilic Karatas, S, Okutucu, S, Ozcelik, E, Quisi, A, Sag, H, Sahiner, L, Sayin, B, Seker, T, Uzun Alkan, D, Yildirim, E, Yildirim, R, Yilmaz, F, Yuksekdag, V, Vensentini, N, Ingaramo, A, Sambadaro, G, Fernandez Caputi, V, Berman, S, Dragotto, P, Kleiban, A, Centurion, N, Giacomi, G, Ahuad Guerrero, R, Conde, D, Zapata, G, Di Paola, L, Ramos, J, Dran, R, Egido, J, Fernandez, A, Fosco, M, Sassone, S, Sinisi, V, Cartasegna, L, Berli, M, Gomez Vilamajo, O, Ferroni, F, Alaguibe, E, Alvarez D'Amelio, A, Arabetti, C, Arias, L, Belardi, J, Bergesio, L, Berli, F, Borchowiec, S, Buzzetti, C, Cabrini, R, Campisi, V, Cappi, A, Carrizo, R, Colombo Berra, F, Costabel, J, Costamagna, O, Damonte, A, De Urquiza, I, Diez, F, Eden, M, Fanuele, M, Fernandez Voena, F, Foa Torres, M, Funosas, C, Giacomi, M, Gimenez, C, Gurfinkel, E, De, L, Hansen, V, Hrabar, A, Ingratta, M, Lopez, A, Maehara, G, Maffei, L, Martinelli, A, Martinelli, C, Matkovich, J, Mautner, B, Meirino, A, Munguia, R, Navarro, A, Novas, V, Perez Prados, G, Pontoriero, J, Potito, R, Ricotti, C, Rodriguez, M, Rolandi, F, Said Palladino, M, Salinger, M, Sanziani, L, Schygiel, P, Sossich, A, Tinto, J, Tonelli, L, Tufare, A, Vallejo, M, Yunis, M, Zillo, M, Zurbrigk, F, Sobral Filho, D, Jaber, J, Armaganijan, D, Faria Neto, J, Steffens, A, Kunz Sebba Barroso de Souza, W, de Souza Neto, J, Ribeiro, J, Silveira Teixeira, M, Ferreira Rossi, P, Pires, L, Moreira, D, Moura Jorge, J, Menezes Lorga Filho, A, Bodanese, L, Westerlund Montera, M, Del Carlo, C, Da Rocha Rodrigues, T, Alves da Costa, F, Lopes, A, Lopes, R, Araujo, G, Fernandes Manenti, E, Kerr Saraiva, J, Ferreira Braga, J, Negri, A, Souto, L, Moncada, C, Bertolim Precoma, D, Roquette, F, Reis, G, Ramos Filho, R, Lanna Figueiredo, E, Vieira Botelho, R, Munhoz da Fontoura Tavares, C, Costantini Frack, C, Abdalla Saad, J, Finimundi, H, Pisani, C, Chemello, D, Pereira Martins, M, Broilo Franca, C, Alban, F, Aranha Rosito, G, de Moura Xavier Moraes Junior, J, Tumelero, R, Nigro Maia, L, Simoes de Almeida, R, do Carmo Borges, N, Gomes Ferreira, L, Agliardi, P, Alves de Oliveira Gomes, J, Araujo, V, Arruda Nakazone, M, Barbosa, T, Barroso, S, Belisario Falchetto, E, Bellotti Lopes, H, Benez Teixeira Lemos, M, Biazus, G, Borges Queiroz, L, Camazzola, F, Caporale, M, Cardoso Boscato, S, Chieza, F, Chokr, M, Clemente Mingireanov, R, Codonho Goes, N, Correa, C, Costa, M, Costantini Ortiz, C, da Silva, L, da Silva Paulitsch, F, da Silveira, J, Daros, E, de Araujo, G, Del Monaco, M, Dias, C, Dias, M, Drummond Wainstein, A, Ely Pizzato, P, Esteves, D, Fabri, P, Felix Lorenzato Fonseca, T, Fernandes, E, Fonseca, C, Frack Costantini, C, Franchin Ferraz, R, Freire, F, Gottardo, P, Guanaes, D, Guizzardi, S, Hettwer Magedanz, E, Igansi, F, Jannuzzi, F, Junior, G, Komar, D, Lino, E, Lopes, D, Lourenco da Silva Junior, O, Lustosa, E, Macagnan, A, Marinho, M, Mazzoni, M, Melo, G, Mortari, L, Mouco, O, Nanzer Vital, C, Ormundo, C, Oss Emmer, S, Palmegiani, E, Pavani, R, Pereira, L, Pereira, V, Perreira, R, Poletti, S, Quaia Fortunato, S, Queirantes, C, Ramos Pereira, N, Rech, R, Ribeiro, S, Rodrigues, A, Roesch, H, Ruaro Reichert, T, Santos, D, Santos, I, Santos, M, Seroqui, M, Silva, S, Soares, L, Spolaor, L, Stoll, C, Toazza Duda, N, Trama, L, Unterkircher, B, Valois, M, Vargas, T, Viana, T, Vicente, C, Vidal Armaganijan, L, Vieira Homem, R, Vieira Torres, L, Vila Boas, L, Villaca Guimaraes Filho, F, Eggers, G, Bugueno Gutierrez, C, Arriagada, G, Potthoff Cardenas, S, Stockins Fernandez, B, Conejeros, C, Houzvic, C, Marin Cuevas, P, Montecinos, H, Forero, A, Lanas, F, Larico Gomez, M, Charme Vilches, G, Rey, C, Astudillo, C, Aguilar, J, Campisto, Y, Lara, C, Molina, E, Munoz Oyarzon, J, Olguin, V, Vergara, M, 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R., Park B. R., Park H. N., Park J. H., Park M., Park Y., Seo S. -Y., Shim J., Sim J. H., Sohn Y. M., Son W. S., Son Y. S., Song H. J., Wi H. K., Woo J. J., Ye S., Yim K. H., Yoo K. M., Yoon E. J., Yun S. Y., Chawanadelert S., Mongkolwongroj P., Kanokphatcharakun K., Cheewatanakornkul S., Laksomya T., Pattanaprichakul S., Chantrarat T., Rungaramsin S., Silaruks S., Wongcharoen W., Siriwattana K., Likittanasombat K., Katekangplu P., Boonyapisit W., Cholsaringkarl D., Chatlaong B., Chattranukulchai P., Santanakorn Y., Hutayanon P., Khunrong P., Bunyapipat T., Jai-Aue S., Kaewsuwanna P., Bamungpong P., Gunaparn S., Hongsuppinyo S., Inphontan R., Khattaroek R., Khunkong K., Kitmapawanont U., Kongsin C., Naratreekoon B., Ninwaranon S., Phangyota J., Phrommintikul A., Phunpinyosak P., Pongmorakot K., Poomiphol S., Pornnimitthum N., Pumprueg S., Ratchasikaew S., Sanit K., Sawanyawisuth K., Silaruks B., Sirichai R., Sriwichian A., Suebjaksing W., Sukklad P., Suttana T., Tangsirira A., Thangpet O., Tiyanon W., Vorasettakarnkij Y., Wisaratapong T., Wongtheptien W., Wutthimanop A., Yawila S., Altun A., Ozdogru I., Ozdemir K., Yilmaz O., Aydinlar A., Yilmaz M. 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H., Da Rocha Rodrigues T., Alves da Costa F. A., Lopes A., Lopes R., Araujo G. R., Fernandes Manenti E. R., Kerr Saraiva J. F., Ferreira Braga J. C., Negri A., Souto L., Moncada C., Bertolim Precoma D., Roquette F., Reis G., Ramos Filho R. A., Lanna Figueiredo E., Vieira Botelho R., Munhoz da Fontoura Tavares C., Costantini Frack C. R., Abdalla Saad J., Finimundi H. C., Pisani C., Chemello D., Pereira Martins M., Broilo Franca C. C., Alban F., Aranha Rosito G. B., de Moura Xavier Moraes Junior J. B., Tumelero R. T., Nigro Maia L., Simoes de Almeida R., do Carmo Borges N. C., Gomes Ferreira L. G., Agliardi P., Alves de Oliveira Gomes J., Araujo V., Arruda Nakazone M., Barbosa T., Barroso S., Belisario Falchetto E., Bellotti Lopes H., Benez Teixeira Lemos M. A., Biazus G., Borges Queiroz L., Camazzola F. E., Caporale M., Cardoso Boscato S., Chieza F., Chokr M. O., Clemente Mingireanov R., Codonho Goes N., Correa C., Costa M., Costantini Ortiz C., da Silva L. S., da Silva Paulitsch F., da Silveira J. A., Daros E., de Araujo G. R., Del Monaco M. I., Dias C., Dias M. A., Drummond Wainstein A. P., Ely Pizzato P., Esteves D. C., Fabri P., Felix Lorenzato Fonseca T., Fernandes E., Fonseca C., Frack Costantini C. R., Franchin Ferraz R., Freire F., Gottardo P., Guanaes D., Guizzardi S., Hettwer Magedanz E., Igansi F., Jannuzzi F., Junior G., Komar D., Lino E. G., Lopes D., Lourenco da Silva Junior O., Lustosa E., Macagnan A. P., Marinho M. C., Mazzoni M., Melo G., Mortari L., Mouco O. M. C. C., Nanzer Vital C., Ormundo C., Oss Emmer S., Palmegiani E., Pavani R., Pereira L., Pereira V. L., Perreira R., Poletti S., Quaia Fortunato S. C., Queirantes C., Ramos Pereira N., Rech R. L., Ribeiro S., Rodrigues A., Roesch H., Ruaro Reichert T., Santos D., Santos I., Santos M., Seroqui M. V., Silva S., Soares L., Spolaor L., Stoll C., Toazza Duda N., Trama L., Unterkircher B., Valois M. V., Vargas T., Viana T., Vicente C., Vidal Armaganijan L., Vieira Homem R., Vieira Torres L. G., Vila Boas L., Villaca Guimaraes Filho F., Eggers G., Bugueno Gutierrez C., Arriagada G., Potthoff Cardenas S., Stockins Fernandez B. A. J., Conejeros C., Houzvic C., Marin Cuevas P., Montecinos H., Forero A., Lanas F., Larico Gomez M., Charme Vilches G., Rey C., Astudillo C., Aguilar J., Campisto Y., Lara C., Molina E., Munoz Oyarzon J., Olguin V., Vergara M., Villan C., Illescas Diaz J., Leal Cantu R., Ramos Zavala M. G., Cabrera Jardines R., Espinola Zavaleta N., Villarreal Umana S., Lopez Rosas E., Llamas Esperon G., Pozas G., Cardona Munoz E., Matadamas Hernandez N., Leyva Rendon A., Garcia Hernandez N., de los Rios Ibarra M., Virgen Carrillo L., Lopez Villezca D., Hernandez Herrera C., Lopez Prieto J. J., Gaona Rodriguez R., Villeda Espinosa E., Flores Martinez D., Velasco Barcena J., Yong R., Rodriguez Briones I., Leiva Pons J. L., Alvarez Lopez H., Olvera Ruiz R., Diaz de la Vega C., Cantu Brito C., Chuquiure Valenzuela E., Reyes-Sanchez R., Bazzoni Ruiz A., Nandayapa Flores O., Benavides Gonzalez M., Arriaga Nava R., Morales Cerda J. D., Fierro Fierro O., Fajardo Campos P., Alfaro T. A. A., Altamirano Bellorin S., Avena R., Chavarria M., Espinosa I., Flores Silva F., Garcia Nava R. H., Godoy K., Gonzalez Felix E. J., Gonzalez Garcia C. L., Gonzalez Salas L. G., Guajardo P., Hernandez Gonzalez S., Izquierdo T., Mancilla Ortiz M. C., Martinez Vasquez D., Mendoza N., Morales J., Nikitina N., Ochoa Aybar S., Ortiz A., Padilla Macias P., Perez F., Perez Sanchez J. A., Pina Toledano S., Ramos Gonzalez M., Rivera Ramos C., Roa Castro V., Romero Cardona G., Ruiz Cornejo M., Salinas A., Santana G., Sida Perez P., Tovar Castaneda A. C., Trujillo Cortes R., Lenz K., Drexel H., Foechterle J., Hagn C., Podczeck-Schweighofer A., Huber K., Winkler M., Schneeweiss B., Gegenhuber A., Lang W., Eichinger-Hasenauer S., Kaserer P., Sykora J., Rasch H., Pichler M., Schaflinger E., Strohmer B., Breier R., Ebner K. -M., Eischer L., Freihoff F., Lischka-Lindner A., Mark T., Mirtl A., Said A., Stocklocker C., Vogel B., Vonbank A., Wohrer C., Zanolin D., Paparella G., Vandergoten P., Parque J. -L., Capiau L., Vervoort G., Wollaert B., Desfontaines P., Mairesse G., Boussy T., Godart P., De Wolf A., Voet J., Heyse A., Hollanders G., Anne W., Vercammen J., Purnode P., Blankoff I., Faes D., Balthazar Y., Beutels M., Marechal P., Verstraete S., Xhaet O., Striekwold H., Thoeng J., Hermans K., Alzand B., Ascoop A. -K., Banaeian F., Barbuto A. -M., Billiaux A. C., Blockmans M., Bouvy C., Brike C., Capiau H., Casier T., Conde Y Bolado A., De Cleen D., De Coninck M., de Vos M., de Weerdt N., Delforge M., Delvigne M., Denie D., Derycker K., Deweerd E., Dormal F., Drieghe S., Everaert M., Eykerman T., Feys E., Ghekiere M., Gits F., Hellemans S., Helvasto L., Jacobs C., Lips S., Mestdagh I., Nimmegeers J., Piamonte V., Pollet P., Postolache A., Raepers M., Raymenants E., Richa J., Rombouts H., Salembier J., Scheurwegs C., Semeraro O., Simons N., Smessaert C., Smolders W., Stockman I., Tahon S., Thyssen V., Tincani G., Van Durme F., Van Lier D., Vandekerckhove H., Vandekerckhove Y., Vandenbroeck D., Vandorpe A., Vanhalst E., Vanhauwaert B., Vantomme C., Vergauwen L., Verloove H., Vydt T., Weyn T., Reichert P., Spacek R., Machova V., Zidkova E., Ludka O., Olsr J., Kotik L., Plocova K., Racz B., Ferkl R., Hubac J., Kotik I., Monhart Z., Burianova H., Jerabek O., Pisova J., Petrova I., Dedek V., Honkova M., Podrazil P., Spinar J., Vitovec J., Novak M., Lastuvka J., Durdil V., Antonova P., Bockova L., Bultas J., Chlumsky J., Dastychova L., Drasnar T., Honek J., Horejsi M., Hubacova V., Janska L., Kopeckova I., Kratochvilova R., Krcova E., Labrova R., Lindourkova A., Lipoldova J., Lubanda H., Ludkova A., Mahdalikova L., Majernikova M., Michalik D., Potuznik P., Prochazkova E., Sulc A., Sveceny J., Valtova M., Zidek M., Zika J., Nielsen J., Nielsen H., Husted S., Hintze U., Rasmussen S., Bremmelgaard A., Markenvard J., Boerger J., Solgaard J., Simonsen P., Loekkegaard T., Bruun M., Mertz J., Dominguez H., Skagen K., Egstrup K., Ibsen H., Raymond I., Bang-Hansen T., Ellervik C., Eriksen E., Jensen L., Jensen M., Leth M., Nygaard A., Park J., Schou M., Therkelsen A., Tilma J., Vesterager K., Airaksinen J., Arola O., Koistinen J., Nappila H., Peltomaki K., Rasanen V., Vasankari T., Galinier M., Gottwalles Y., Paganelli F., Loiselet P., Muller J. -J., Koujan M. 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M., Martini G., Tessitori M., Cappelli R., Poli D., Quintavalla R., Melone F., Cosmi F., Pizzini A., Piseddu G., Fanelli R., Latella C., Santi R., Pancaldi L., De Cristofaro R., Palareti G., De Blasio A., Salerno Uriarte J., Minetti F., Pogliani E. M., Lonati L. M., Accogli M., Ciampani N., Malengo S., Feola M., Raisaro A., Fattore L., Grilli P., Germini F., Settimi M., Alunni M., Duranti G., Tedeschi L., Baglioni G., Avanzino G., Berardi M., Pannacci V., Giombolini A., Nicoli S., Scarponi T., Allasia B., Ricciarini P., Nasorri R., Argena A., Bossolasco P., Ronchini P., Filippi A., Tradati F., Bulla C., Donzelli L., Foppa L., Bottarelli M. L., Tomasello A., Mauric A., Femiano C., Reggio R., Lillo F., Mariani A., Forcignano F., Volpe M., D'Avino M., Bongiorni M. G., Severi S., Capucci A., Lodigiani C., Salomone E., Serviddio G., Tondo C., Golino P., Mazzone C., Iacopino S., Pengo V., Galvani M., Moretti L., Ambrosino P., Banfi E., Biagioli V., Bianchi A., Boggian G., Breschi M., Brusorio S., Calcagnoli F., Campagna G., Carpenedo M., Ciabatta C., Ciliberti G., Cimmino G., D'Arienzo C., Di Gennaro L., Fedele M., Ferrini P. M., Granzow K., Guazzaloca G., Guerra F., Lo Buglio A., Longo S., Macellari F., Mesolella E., Mollica Poeta E., Occhilupo P., Oriana V., Rangel G., Salomone L., Scaccianoce A., Scarone C., Segreti L., Sottilota G., Villani R., Zecca C., ten Cate H., Ruiter J. H., Klomps H., Bongaerts M., Pieterse M. G. C., Guldener C., Herrman J. -P., Lochorn G., Lucassen A., Adriaansen H., The S. H. K., Nierop P. R., Hoogslag P. A. M., Hermans W., Groenemeijer B. E., Terpstra W., Buiks C., Boersma L. V. 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S., da Silva Paulitsch F., da Silveira J. A., Daros E., de Araujo G. R., Del Monaco M. I., Dias C., Dias M. A., Drummond Wainstein A. P., Ely Pizzato P., Esteves D. C., Fabri P., Felix Lorenzato Fonseca T., Fernandes E., Fonseca C., Frack Costantini C. R., Franchin Ferraz R., Freire F., Gottardo P., Guanaes D., Guizzardi S., Hettwer Magedanz E., Igansi F., Jannuzzi F., Junior G., Komar D., Lino E. G., Lopes D., Lourenco da Silva Junior O., Lustosa E., Macagnan A. P., Marinho M. C., Mazzoni M., Melo G., Mortari L., Mouco O. M. C. C., Nanzer Vital C., Ormundo C., Oss Emmer S., Palmegiani E., Pavani R., Pereira L., Pereira V. L., Perreira R., Poletti S., Quaia Fortunato S. C., Queirantes C., Ramos Pereira N., Rech R. L., Ribeiro S., Rodrigues A., Roesch H., Ruaro Reichert T., Santos D., Santos I., Santos M., Seroqui M. V., Silva S., Soares L., Spolaor L., Stoll C., Toazza Duda N., Trama L., Unterkircher B., Valois M. V., Vargas T., Viana T., Vicente C., Vidal Armaganijan L., Vieira Homem R., Vieira Torres L. G., Vila Boas L., Villaca Guimaraes Filho F., Eggers G., Bugueno Gutierrez C., Arriagada G., Potthoff Cardenas S., Stockins Fernandez B. A. J., Conejeros C., Houzvic C., Marin Cuevas P., Montecinos H., Forero A., Lanas F., Larico Gomez M., Charme Vilches G., Rey C., Astudillo C., Aguilar J., Campisto Y., Lara C., Molina E., Munoz Oyarzon J., Olguin V., Vergara M., Villan C., Illescas Diaz J., Leal Cantu R., Ramos Zavala M. G., Cabrera Jardines R., Espinola Zavaleta N., Villarreal Umana S., Lopez Rosas E., Llamas Esperon G., Pozas G., Cardona Munoz E., Matadamas Hernandez N., Leyva Rendon A., Garcia Hernandez N., de los Rios Ibarra M., Virgen Carrillo L., Lopez Villezca D., Hernandez Herrera C., Lopez Prieto J. J., Gaona Rodriguez R., Villeda Espinosa E., Flores Martinez D., Velasco Barcena J., Yong R., Rodriguez Briones I., Leiva Pons J. 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A., Boersma-Slootweg M., Bosman F., Bosschaert M., Bruin S., Danse I., De Graaf J., de Graauw J., Debordes M., Dols S., Geerlings F., Gorrebeeck K., Jerzewski A., Jetten W., Kelderman M., Kloosterman T., Koomen E. M., Krikken J., Melman P., Mulder R., Pronk A., Stallinga-de Vos A., te Kaat J., Tonino P., Uppelschoten B., van de Loo R., van der Kley T., van Leeuwen G., van Putten J. J., Westerman L., Berge E., Sirnes P. A., Gjertsen E., Hole T., Erga K., Hallaraker A., Skjelvan G., Ostrem A., Ghezai B., Svilaas A., Christersson P., Oien T., Hoegh Henrichsen S., Berg-Johansen J., Otterstad J. E., Antonsen H., Ausen K., Claussen H., Dominguez I., Jekthammer A., Lensebraaten A. 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S., Pickavance G., McDonnell J., Williams A., Gooding T., Wagner H., Suryani S., Singal A., Sircar S., Bilas R., Hutchinson P., Wakeman A., Stokes M., Paul N., Aziz M., Ramesh C., Wilson P., Franklin S., Fairhead S., Thompson J., St Joseph V., Taylor G., Tragen D., Seamark D., Paul C., Richardson M., Jefferies A., Sharp H., Jones H., Giles C., Page M., Oginni O., Aldegather J., Wetherwell S., Lumb W., Evans P., Scouller F., Macey N., Stipp Y., West R., Thurston S., Wadeson P., Matthews J., Pandya P., Gallagher A., Railton T., Sinha B., Russell D., Davies J. A., Ainsworth P., Jones C. P., Weeks P., Eden J., Kernick D., Murdoch W., Lumley L., Patel R. P., Wong S. W., Saigol M., Ladha K., Douglas K., Cumberlidge D. F., Bradshaw C., Van Zon G., Jones K. P., Thomas M. J., Watson E., Sarai B., Ahmad N., Willcock W., Cairns J., Sathananthan S., de Kare-Silver N., Gilliland A., Strieder E., Howitt A., Vishwanathan B., Bird N., Gray D., Clark M., Bisatt J., Litchfield J., Fisher E., Fooks T., Kelsall A. R., Alborough E., Wakeling J., Parfitt M., Milne K., Rogers S., Priyadharshan R., Oliver J. L., Davies E., Abushal S., Jacobs M., Hutton C., Walls N. I., Thompson R., Chigbo C., Zaidi S. M. A., Howard M., Butter K. C., Barrow S., Little H., Haq I. U., Gibbons L., Glencross S., McLeod A. J., Poland K., Mulholland C., Warke A., Conn P., Burns G., Smith R. N., Lowe S., Kamath R., Dau H. S., Webster J., Hodgins I., Vercoe S., Roome P. C., Pinnock H., Patel J. R. A., Ali A., Hart N., Davies R., Stuart E., Neden C. A., Danielsen M., Heath R., Sharma P., Galloway S., Hawkins C., Oliver R., Aylward M., Mannion S., Braddick M., Edwards D., Rothwell A. C., Sabir A., Choudhary F., Khalaque S., Wilson A., Peters S., Coulson W., Roberts N., Heer A., Coates S., Ward B., Jackson D., Walton S., Shepherd D., Sterry M., Wong T., Boon M., Bunney R., Haria-Shah R., Baron R. T., Davies S., Schatzberger T., Hargreaves N., Stephenson T., Choi H., Batson R., Lucraft L., Myhill T., Estifano S., Geatch D., Wilkinson J., Veale R., Forshaw K., Davies T., Zaman K., Vinson P., Liley C., Bandrapalli M., McGinty P., Wastling R., McEleny P., Beattie A., Cooke P., Wong M., Gunasegaram J., Pugsley M., Ahmad S., A'Court C., Ayers J., Bennett J., Cartwright S., Dobson S., Dooldeniya C., Flynn A., Fox R., Goram J., Halpin A., Hay A., Jacobs P., Jeffers L., Lomax L., Munro I., Muvva R., Nadaph M., Powell K., Randfield S., Redpath D., Reed R., Rickenbach M., Rogers G., Saunders P. B., Seamark C., Shewring J., Simmons P., Simper H., Stoddart H., Sword A., Thomas N., Thomson A., Blenkhorn A., Singh B., Van Gaal W., Abhayaratna W., Lehman R., Roberts-Thomson P., Kilian J., Coulshed D., Catanchin A., Colquhoun D., Kiat H., Eccleston D., French J., Zimmett L., Ayres B., Phan T., Blombery P., Crimmins D., O'Donnell D., Choi A., Astridge P., Arstall M., Jepson N., Binnekamp M., Lee A., Rogers J., Starmer G., Carroll P., Faunt J., Aggarwala A., Barry L., Batta C., Beveridge R., Black A., Bonner M., Boys J., Buckley E., Campo M., Carlton L., Connelly A., Conway B., Cresp D., Dimitri H., Dixon S., Dolman M., Duroux M., Eskandari M., Eslick R., Ferreira-Jardim A., Fetahovic T., Fitzpatrick D., Geraghty R., Gibbs J., Grabek T., Modi M. H., Hayes K., Hegde M. P., Hesketh L., Hoffmann B., Johnson K., Juergens C., Kassam I., Lawlor V., Lehman M., Lehman S., Leung D., Mackay S., MacKenzie M., McCarthy C., McIntosh C., McKeon L., Morrison H., Mussap C., Myers J. -D., Nagalingam V., Oldfield G., O'May V., Palmer J., Parsons L., Patching K., Patching T., Paul V., Plotz M., Preston S., Rashad H., Ratcliffe M., Raynes S., Rose J., Sanders L., Seremetkoska M., Setio H., Shone S., Shrestha P., Singh C., Singleton C., Stoyanov N., Sutcliffe S., Swaraj K., Tarrant J., Thompson S., Tsay I. M., Vorster M., Waldman A., Wallis L., Wilford E., Wong K., Luton R., Gupta M., Pandey A. S., Cheung S., Leader R., Beaudry P., Ayala-Paredes F., Berlingieri J., Heath J., Poirier G., Du Preez M., Nadeau R., Dresser G., Dhillon R., Hruczkowski T., Schweitzer B., Coutu B., Angaran P., MacDonald P., Vizel S., Fikry S., Parkash R., Lavoie A., Cha J., Ramjattan B., Bonet J., Ahmad K., Aro L., Aves T., Beaudry K., Bergeron C., Bigcanoe J., Bignell N., Breakwell L., Burke E., Carroll L., Clarke B., Cleveland T., Daheb S., Dehghani P., Denis I., Djaidani Z., Dorian P., Douglass S., Dunnigan J., Ewert A., Farquhar D., Fearon A., Ferleyko L., Fournier D., Fox B., Grenier M. -C., Gulliver W., Haveman K., Hines C., Hines K., Jackson A. M., Jean C., Jethoo G., Kahlon R., Kelly S., Kim R., Korley V., Kornder J., Kwan L., Largy J., Lewis C., Lewis S., Mangat I., Moor R., Navratil J., Neas I., Otis J., Otis R., Pandey M., Petrie F., Pinter A., Raines M., Roberts P., Robinson M., Sas G., Schulman S., Snell L., Spearson S., Stevenson J., Trahey T., Wong S., Wright D., Abd El-Aziz A., Abou Seif S. K., El Din M. G., El Etriby S., Elbahry A., El-Etreby A., Elkhadem M., Katta A., Khairy T., Mowafy A., Nawar M., Ohanissian A., Reda A., Reda M., Salem H., Sami N., Samir S., Setiha M., Sobhy M., Soliman A., Taha N., Tawfik M., Zaatout E., Kettles D., Bayat J., Siebert H., Horak A., Kelfkens Y., Garda R., Pillay T., Guerra M., van Zyl L., Theron H., Murray A., Louw R., Greyling D., Mntla P., Ueckermann V., Loghdey R., Ismail S., Ahmed F., Engelbrecht J., Ramdass A., Maharajh S., Oosthuysen W., Angel G., Bester C., Booysen M., Boshoff C., Cannon C., Cassimjee S., Chami C., Conway G., Davids A., de Meyer L., Du Plessis G., Ellis T., Henley L., Karsten M., Loyd E., Marks J., Mavhusa L., Mostert M., Page A., Rikhotso L., Salie M., Sasto J., Shaik F., Skein A., Smith L., Tarr G., Tau T., van Zyl F., Yousef G., Agrawal A., Nathani M., Ibrahim M., Esheiba E. M., Singh R., Naguib A., Abu-Mahfouz M., Al Omairi M., Al Naeemi A., Maruthanayagam R., Bazargani N., Wassef A., Gupta R., Khan M., Subbaraman B., Abdul A., Al Mulla A., El Bardisy S., Haridas P., Jadhav S., Magdaluyo K., Makdad M., Maqsood I., Mohamed R., Sharma N., Sharma R., Thanzeel M., Canosa R., Rama P., Blumberg E., Garcia J., Mullen P., Wilson V., Quick A., Ferrick K., Kutayli W. M., Cox M., Franco M., Falkowski S., Mendelson R., Williams M., Miller S., Beach S., Alfieri A., Gutowski T., Haque I., Reddy R., Ahmed W., Delafontaine P., Diercks D., Theodoro D., Remmel K., Alberts M., Ison R., Noveck H., Duffy P., Pitta S., Nishijima D., Treasure C., Asafu-Adjaye N., Ball K., Bartlett M., Bentley M., Bowers S., Brown A., Browne A., Cameron-Watts J., Canova M., Cassidy D., Cervellione K., Congal S., DePauw J., Dickerson A., Eley M., Evans L., Felpel S., Ferdinand K., Fielder D., Gentry P., Haideri A., Hakimi F., Harbour T., Hartranft E., Hawkins B., Headlee M., Henson L., Herrick C., Hicks T., Jasinski S., Jones A., Jones L., Jones P., Karl S., Keeling M., Kerr J., Knowles P., Langdon J., Lay M., Lee J. A., Lincoln T., Malone E., Merliss A., Merritt D., Minardo J., Mooso B., Orosco C., Palumbo V., Parker M., Parrott T., Paserchia S., Pearl G., Peterson J., Pickelsimer N., Purcell T., Raynor J., Raziano S., Richard C., Richardson T., Robertson C., Sage A., Sanghera T., Shaw P., Shoemaker J., Smith K., Stephanie B., Thatcher A., Theobald H., Thompson N., Treasure L., Tripti T., Verdi C., and Worthy V.
- Abstract
Background: The Global Anticoagulant Registry in the FIELD–Atrial Fibrillation (GARFIELD-AF) is an ongoing prospective noninterventional registry, which is providing important information on the baseline characteristics, treatment patterns, and 1-year outcomes in patients with newly diagnosed non-valvular atrial fibrillation (NVAF). This report describes data from Indian patients recruited in this registry. Methods and results: A total of 52,014 patients with newly diagnosed AF were enrolled globally; of these, 1388 patients were recruited from 26 sites within India (2012–2016). In India, the mean age was 65.8 years at diagnosis of NVAF. Hypertension was the most prevalent risk factor for AF, present in 68.5% of patients from India and in 76.3% of patients globally (P < 0.001). Diabetes and coronary artery disease (CAD) were prevalent in 36.2% and 28.1% of patients as compared with global prevalence of 22.2% and 21.6%, respectively (P < 0.001 for both). Antiplatelet therapy was the most common antithrombotic treatment in India. With increasing stroke risk, however, patients were more likely to receive oral anticoagulant therapy [mainly vitamin K antagonist (VKA)], but average international normalized ratio (INR) was lower among Indian patients [median INR value 1.6 (interquartile range {IQR}: 1.3–2.3) versus 2.3 (IQR 1.8–2.8) (P < 0.001)]. Compared with other countries, patients from India had markedly higher rates of all-cause mortality [7.68 per 100 person-years (95% confidence interval 6.32–9.35) vs 4.34 (4.16–4.53), P < 0.0001], while rates of stroke/systemic embolism and major bleeding were lower after 1 year of follow-up. Conclusion: Compared to previously published registries from India, the GARFIELD-AF registry describes clinical profiles and outcomes in Indian patients with AF of a different etiology. The registry data show that compared to the rest of the world, Indian AF patients are younger in age and have more diabetes and CAD. Patients with
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- 2018
21. PO-1670 Initial Assessment of Adaptive Pancreas SBRT Treatment Efficiency using ViewRay MRIdian A3i
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Gutierrez, A., Mittauer, K., Herrera, R., McCulloch, J., Alvarez, D., Bassiri-Gharb, N., Tolakanahalli, R., Kaiser, A., Hall, M., Kotecha, R., Mehta, M., and Chuong, M.
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- 2023
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22. PD-0965 Phase II trial of single-fraction SABR on 0.35T MRI-linac for thoracic, abdominal, and pelvic tumors
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Chuong, M., Mittauer, K., Tom, M., Kalman, N., McCulloch, J., Alvarez, D., Rojas, C., Kaywin, P., Ucar, A., Albrecht, F., De Zarraga, F., Aparo, S., Rabinowits, G., Rubens, M., Gutierrez, A., and Kotecha, R.
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- 2023
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23. PD-0814 Toxicity outcomes of dose-escalated MR-guided radiation therapy for abdominal and pelvic tumors
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Herrera, R., Kutuk, T., Chuong, M., Mittauer, K., Tom, M., Contreras, J., Kaiser, A., Hall, M., McCulloch, J., Alvarez, D., Mehta, M., Gutierrez, A., and Kotecha, R.
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- 2023
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24. Pressure resistance characterisation of vascular networks embedded in carbon composites for high energy physics applications.
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Dias, M., Alvarez, D., Boyer, F., Lu, H., Olivier, P., Pickard, L.R., and Teissandier, B.
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CARBON composites , *PARTICLE physics , *VASCULAR resistance , *PARTICLE detectors , *LAMINATED materials , *COMPOSITE structures - Abstract
In state-of-the-art tracking detectors, lightweight carbon composite structures support the pixel or micro-strip sensors and provide the main thermal path between the silicon and a network of metallic or plastic pipes containing a cooling fluid. Despite the good results obtained with this design approach, the challenges associated with future high energy physics (HEP) experiments demand even lighter and more efficient technologies. In this regard, replacing the existing piping with a network of channels directly embedded in the composite laminates represents a promising solution to improve the thermal coupling, which also offers additional gains in terms of mass and thermo-elastic stability.While some research has been devoted to assessing the mechanical and thermal performance of such laminates, limited information about their resistance to internal pressure is currently available in the literature. This lack of data constitutes an important obstacle for the use of vascular networks in future HEP applications, which the present paper aims to address.Experimental methods were used to investigate the pressure resistance of channels embedded in carbon composite laminates. Modified poly (lactic) acid (PLA) preforms were embedded in carbon-fibre epoxy laminates. A post-cure vaporization technique removed the PLA, thus producing plates with longitudinal channels. Destructive tests were conducted to determine the burst pressure of the plates depending on the lay-up and the cross-section geometry of the channels. Both circular and oblong channels were evaluated, and various reinforcement techniques were explored to enhance the pressure resistance of the laminates. Micro-graphic examinations and X-ray micro-computed tomography were employed to gain a better understanding of the microstructure and the failure mechanisms of the plates.Plates with circular channels measuring 1.75 mm in diameter, embedded in [0/90/0] S laminates and reinforced with 2 mm lay length fuzzy carbon fibre over-braids, achieved burst pressures exceeding 45 MPa. This result, which is approximately an order of magnitude greater than that obtained for the equivalent non-reinforced laminates, demonstrates the enormous potential of this technology for future particle detectors. [ABSTRACT FROM AUTHOR]
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- 2024
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25. Fabrication and characterization of full diamond tips for scanning spreading-resistance microscopy
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Álvarez, D., Fouchier, M., Kretz, J., Hartwich, J., Schoemann, S., and Vandervorst, W.
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- 2004
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26. Scanning spreading resistance microscopy of fully depleted silicon-on-insulator devices
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Álvarez, D., Hartwich, J., Kretz, J., Fouchier, M., and Vandervorst, W.
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- 2003
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27. Influence of pyrolysis temperature on char optical texture and reactivity
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Alonso, M.J.G, Borrego, A.G, Alvarez, D, Parra, J.B, and Menéndez, R
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- 2001
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28. Knowledge based recursive non-linear partial least squares (RNPLS).
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Merino, A., Garcia-Alvarez, D., Sainz-Palmero, G.I., Acebes, L.F., and Fuente, M.J.
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LEAST squares ,SEWAGE disposal plants ,PARTIAL least squares regression ,MANUFACTURING processes - Abstract
Soft sensors driven by data are very common in industrial plants to perform indirect measurements of difficult to measure critical variables by using other variables that are relatively easier to obtain. The use of soft sensors implies some challenges, such as the colinearity of the predictor variables, the time-varying and possible non-linear nature of the industrial process. To deal with the first challenge, the partial least square (PLS) regression has been employed in many applications to model the linear relations between process variables, with noisy and highly correlated data. However, the PLS model needs to deal with the other two issues: the non-linear and time-varying characteristics of the processes. In this work, a new knowledge-based methodology for a recursive non-linear PLS algorithm (RNPLS) is systematized to deal with these issues. Here, the non-linear PLS algorithm is set up by carrying out the PLS regression over the augmented input matrix, which includes knowledge based non-linear transformations of some of the variables. This transformation depends on the system's nature, and takes into account the available knowledge about the process, which is provided by expert knowledge or emulated using software tools. Then, the recursive exponential weighted PLS is used to modify and adapt the model according to the process changes. This RNPLS algorithm has been tested using two case studies according to the available knowledge, a real industrial evaporation station of the sugar industry, where the expert knowledge about the process permits the formulation of the relationships, and a simulated wastewater treatment plant, where the necessary knowledge about the process is obtained by a software tool. The results show that the methodology involving knowledge regarding the process is able to adjust the process changes, providing highly accurate predictions. • Use expert knowledge about the process to develop a knowledge based non-linear PLS. • Consider the time-varying nature of industrial processes to perform a recursive PLS. • Combine the knowledge-based NPLS with recursion to develop a Recursive NPLS (RNPLS). • The knowledge based RNPLS algorithm has been tested into two case studies. [ABSTRACT FROM AUTHOR]
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- 2020
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29. WS07-5 Lack of correlation between patient reported outcomes (PROs) and Lung Clearance Index (LCI2.5) among cystic fibrosis children with normal spirometry
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Zirbes, J., Alvarez, D., Ryan, S., and Milla, C.
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- 2019
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30. Abdominal aorta atheromatosis is associated with the presence of risk factors in primary prevention patients
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Helman, L., Aguilo Iztueta, M., Catalina, L., Cuniberti, L., Alvarez, D., Dangelo, P., and Giunta, G.
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- 2018
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31. SAT-514 - Low-moderate alcohol use is associated with a lower prevalence of non-alcoholic fatty liver disease in Hispanics/Latinos living in the US: Results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)
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Unalp-Arida, A., Ruhl, C., Kallwitz, E., Daviglus, M., Sotres-Alvarez, D., Vidot, D., Lee, D., Talavera, G., and Aviles-Santa, L.
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- 2018
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32. SAT-206 - Addition of simvastatin to standard treatment is safe, effective and improves quality of life in patients with decompensated cirrhosis
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Muñoz, A., Pollarsky, F., Marino, M., Cartier, M., Miguez, C., Alvarez, D., Salgado, P., and Romero, G.
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- 2018
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33. Corrigendum to “Effect of Sb in thick InGaAsSbN layers grown by liquid phase epitaxy” [J. Cryst. Growth 483 (2018) 140–146]
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Donchev, V., Milanova, M., Asenova, I., Shtinkov, N., Alonso-Álvarez, D., Mellor, A., Karmakov, Y., Georgiev, S., and Ekins-Daukes, N.
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- 2018
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34. Roadmap for the next-generation of hybrid photovoltaic-thermal solar energy collectors.
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Mellor, A., Alonso Alvarez, D., Guarracino, I., Ramos, A., Riverola Lacasta, A., Ferre Llin, L., Murrell, A.J., Paul, D.J., Chemisana, D., Markides, C.N., and Ekins-Daukes, N.J.
- Subjects
- *
PHOTOVOLTAIC power systems , *SOLAR energy , *SOLAR collectors , *HEAT storage , *SOLAR cells - Abstract
Highlights • Roadmap presented for hybrid photovoltaic thermal (PVT) collectors. • A novel indium tin oxide (ITO)-based transparent low-emissivity coating applied directly to a PV cell is presented. • Quantitative comparison of evacuated cavities, transparent low-emissivity coatings, and silicon heterojunction photovoltaic cells for improved performance. • Cost requirements for technologies along the roadmap are estimated and compared to today's costs. Abstract For hybrid photovoltaic-thermal collectors to become competitive with other types of solar energy converters, they must offer high performance at fluid outlet temperatures above 60 °C, as is required for space heating and domestic hot water provision, which together account for nearly 50% of heat demand. A roadmap is presented of the technological advances required to achieve this goal. Strategies for reducing convective, radiative and electrical losses at elevated temperature are discussed, and an experimental characterisation of a novel transparent low-emissivity coating for photovoltaic solar cells is presented. An experimentally-validated simulation formalism is used to project the performance of different combinations of loss-reduction strategies implemented together. Finally, a techno-economic analysis is performed to predict the price points at which the hybrid technologies along the roadmap become competitive with non-hybrid photovoltaic and solar thermal technologies. The most advanced hybrid technology along the roadmap employs an evacuated cavity, a transparent low-emissivity coating, and silicon heterojunction photovoltaic cells. [ABSTRACT FROM AUTHOR]
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- 2018
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35. Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points.
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Garcia-Alvarez, D., Bregon, A., Pulido, B., and Alonso-Gonzalez, C.J.
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FAULT diagnosis , *STATISTICAL process control , *STRUCTURAL models , *PRINCIPAL components analysis , *ARTIFICIAL intelligence - Abstract
Fast and efficient fault monitoring and diagnostics methods are essential for fault diagnosis and prognosis tasks in Health Monitoring Systems. These tasks are even more complicated when facing dynamic systems with multiple operation points. This article introduces a symbiotic solution for fault detection and isolation, based on the integration of two complementary techniques: Possible Conflicts (PCs), a model-based diagnosis technique from the Artificial Intelligence (AI) community, and Principal Component Analysis (PCA), a Multivariate Statistical Process Control (MSPC) technique. Our proposal improves the PCA-based fault detection in systems with multiple operation points and transient states and provides a straightforward fault isolation stage for PCA. At the same time, the proposal increases the robustness for fault detection using PCs through the application of PCA to the residual signals. PCA has the ability to filter out residual deviations caused by model uncertainties that can lead to a high number of false positives. The proposed method has been successfully tested in a real-world plant with accurate fault detection results. The plant has noisy sensors and a system model without the same accuracy at each operation point and transient states. [Display omitted] [ABSTRACT FROM AUTHOR]
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- 2023
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36. Actigraphic sleep patterns and hypertension in the Hispanic community health study/study of Latinos
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Ramos, A., Weng, J., Wallace, D., Petrov, M., Wohlgemuth, W., Sotres-Alvarez, D., Loredo, J., Reid, K., Zee, P., Mossavar-Rahmani, Y., and Patel, S.
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- 2017
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37. Infusion Phlebitis in Patients in a General Internal Medicine Service
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Pose-Reino, A., Taboada-Coton, J. M., Alvarez, D., Suarez, J., and Valdes, L.
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Health - Abstract
To the Editor: In relation to the recent article by Monreal et al,[1] we believe readers may be interested to learn of the results of a study carried out in [...]
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- 2000
38. Uninformative and unuseful: why it is necessary to actively challenge COVID-19 antibody testing postvaccination.
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Romero-Alvarez, D., López-Cevallos, D.F., and Torres, I.
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RESEARCH , *COVID-19 , *COVID-19 vaccines , *RESEARCH methodology , *DESCRIPTIVE statistics , *VIRAL antibodies , *COVID-19 testing - Abstract
We aimed to assess the evidence on the usefulness of postvaccination testing of COVID-19 antibodies. We used a descriptive analytical approach. We synthesized insights of studies on the immunological responses to SARS-CoV-2 after natural infection or vaccination and recommendations by regulatory institutions, such as the Food and Drug Administration and the Centers for Disease Control and Prevention in the United States. Based on the multiple humoral and cellular responses elicited by either the virus or the vaccines, the high variability of antibodies in blood, and the lack of correlation between the presence of antibodies and active cellular immunity against SARS-CoV-2, there has been explicit advice against assessing immunological status postvaccination. Postvaccination antibody testing is not warranted to assess immunity status for COVID-19. Patients may misinterpret results, leading to the spread of misinformation regarding vaccine efficacy or the need to continue self-protection or the protection of others. Therefore, public health authorities should actively challenge the promotion and commercialization of this type of tests. [ABSTRACT FROM AUTHOR]
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- 2021
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39. Nonlinear analysis of heart rate variability in patients with sleep apnea hypopnea syndrome (SAHS). A severity study
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Crespo, A., Del Campo, F., Gómez, J., Álvarez, D., Marcos, J., and Hornero, R.
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- 2013
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40. Femoroacetabular impingement: Association between the overcoverage and acetabular cartilage delamination areas.
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Camacho-Alvarez, D. and Mardones-Peterman, R.
- Abstract
Copyright of Revista Española de Cirugía Ortopédica y Traumatologia (English Edition) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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- 2013
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41. Fault detection and isolation in transient states using principal component analysis
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Garcia-Alvarez, D., Fuente, M.J., and Sainz, G.I.
- Subjects
- *
FAULT location (Engineering) , *UNSTEADY flow , *PRINCIPAL components analysis , *MATHEMATICAL transformations , *PROCESS control systems , *CONTINUOUS processing - Abstract
Abstract: This paper proposes the use of principal component analysis (PCA) for process monitoring and fault detection and isolation in processes with several operation modes and long transient states and start-ups. The principal aspects of the PCA approach and the necessary transformations for dealing with this type of processes are presented. In this paper a classical PCA model is used for each steady state of the process and a modification of a batch PCA approach is applied to the transient states of the continuous process. So, in this last case, the PCA model is performed over a three way matrix arranged with the values of the measured variables of several past transitions with a nominal behaviour. This approach presents some problems, such as the unfolding, alignment and imputation. The methods proposed to deal with these problems are explained in detail and compared in order to design a fault detection and isolation method. Two examples are considered to perform the tasks explained. In both cases good results are obtained. [Copyright &y& Elsevier]
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- 2012
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42. Evaluating DNA methylation and gene expression variability in the human term placenta.
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Avila, L., Yuen, R.K., Diego-Alvarez, D., Peñaherrera, M.S., Jiang, R., and Robinson, W.P.
- Subjects
GENE expression ,PLACENTA physiology ,METHYLATION ,STATISTICAL correlation ,MESSENGER RNA ,MOLECULAR biology - Abstract
Abstract: Obtaining representative samples from a term placenta for gene-expression studies is confounded by both within placental heterogeneity and sampling effects such as sample location and processing time. Epigenetic processes involved in the regulation of gene expression, such as DNA methylation, may show similar variability, but are less well studied. Therefore, we investigated the nature of within and between- placenta variation in gene expression and DNA methylation of genes that were chosen for being differentially expressed or methylated by cell type within the placenta. Methods: In total, two or more samples from each of 38 normal term placentae were utilized. The expression levels of CDH1, CDH11, ID2, PLAC1 and KISS1 were evaluated by real-time PCR. DNA methylation levels of LINE1 elements and CpGs within the promoter regions of KISS1, PTPN6, CASP8, and APC were similarly quantified by pyrosequencing. Results: Despite considerable sample-to-sample variability within each placenta, the within-placenta correlation for both gene expression and methylation was significant for each studied gene. Most of this variability was not due to sample location. However, between placental differences in gene expression were inflated by the dramatic effect of processing time (0–24 h) on mRNA levels, particularly for PLAC1 and KISS1 (both expressed in the apical syncytiotrophoblast). In contrast, DNA methylation levels remained relatively constant over this same time period. Conclusion: Due to extensive site-to-site variability, multiple sampled sites are needed to accurately represent a placenta for molecular studies. Furthermore, mRNA quantitation of some genes may be hampered by its rapid degradation post-delivery (and possibly perinatally) and thus processing time should be considered in such analyses. Within-placenta correlations in expression and methylation from unrelated genes raise the possibility that methylation and expression variation may potentially reflect cell composition differences between samples rather than true differences occurring at the cellular level. [Copyright &y& Elsevier]
- Published
- 2010
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43. Analysis of ESD failure mechanism in 65nm bulk CMOS ESD NMOSFETs with ESD implant
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Alvarez, D., Abou-Khalil, M.J., Russ, C., Chatty, K., Gauthier, R., Kontos, D., Li, J., Seguin, C., and Halbach, R.
- Subjects
- *
COMPLEMENTARY metal oxide semiconductors , *DIGITAL electronics , *LOGIC circuits , *PHYSICS - Abstract
Abstract: Electrical and SEM analysis of gate-silicided (GS) ESD NMOSFETs in a 65nm bulk CMOS technology show that the failure mechanism changes from source-to-drain filamentation to drain-to-substrate short when a p-type ESD implant (ED) is used. Simulations show that the reason for change in failure mode is the different current and temperature distribution when the device is operated in bipolar mode due to the presence of ED. The size of the drain silicide blocking can be reduced from 3 to 0.75 μm by the use of ED while keeeping the same ESD failure current with the corresponding area saving benefit. When the ED implant extends under the drain contacts, the on-resistance (Ron) of the device can be reduced by ∼50% with respect to a design where ED is not located under the contacts. [Copyright &y& Elsevier]
- Published
- 2006
- Full Text
- View/download PDF
44. Minimization–optimization of water use in the process of cleaning reactors and containers in a chemical industry
- Author
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Alvarez, D., Garrido, N., Sans, R., and Carreras, I.
- Subjects
- *
CLEANING , *CHEMICAL industry , *CONTAINERS , *TEXTILE industry - Abstract
This paper describes a study concerning the minimization and optimization of water use in the process of cleaning reactors and containers in a chemical industry, that produces auxiliary chemicals products for the textile industry (liquids detergents, softeners…).A reduction of 60% of the water used for cleaning reactors and 90% of the water used for cleaning containers were achieved. These results were achieved due to:
Recovery of finished product using air as the first cleaning agent (2.2 Tn/yr Approx. saved) was also achieved. In addition to this, the decrease of the contamination load of the wastewater and an environmental policy based on the principle of reutilization of the cleaned water, coming from the water treatment plant, were also achieved.The reduction of the water to be treated, as well as the minimization of the contamination load, implies a smaller waste water treatment plant, a lower consumption of chemical products, and less production of sludge that must be treated later and, finally, a rational use of water has been achieved. [Copyright &y& Elsevier]- The new planning of the production in order to minimize the number of cleanings between processes.
- The definition of the quality for the cleaning of reactors that was needed for later manufacturing operations.
- The use of a new procedure to clean the containers.
- Published
- 2004
- Full Text
- View/download PDF
45. Percentage of Water Consumed From Total Fluid Intake Influences Metabolic Syndrome Parameters.
- Author
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Howell, T. and Aguilar-Alvarez, D.
- Subjects
- *
CARBONATED beverages , *COLLEGE students , *CONFERENCES & conventions , *DAIRY products , *DRINKING (Physiology) , *FRUIT juices , *WATER , *METABOLIC syndrome - Abstract
Background: Recent studies show that water intake plays a major role in the development of chronic diseases such as type 2 diabetes, cardiovascular, and kidney disease. The aim of this study was to determine if the percentage of total fluid intake from water influences metabolic syndrome (MetS) and identify significant associations between water, dairy, soft drinks and juice consumption with MetS parameters in college students. Methods: We measured MetS parameters and collected diet records from 364 college students, ages 18-65 years. Participants were grouped by gender (Male: 112; Female: 252) and by percentage of total fluid consumption from water. Groups were defined as high (>70%) percentage of total fluid intake from water (HPW) and Low percentage (<30%) of total fluid intake from water (LPW). T-test was used to determine mean differences in MetS parameters between HPW and LPW, and Pearson correlations to determine associations between MetS and specific fluids. Results: HPW participants showed lower diastolic blood pressure when compared with their LPW counterparts (tt=78.51±8.28 vs ^i=81.20± 9.28, p=0.05). Men dairy fluid consumption was associated with increased fasting blood glucose (r=0.24, p=0.01). In women, Juice consumption was associated with increased LDL-Cholesterol (r= 0.21, p=0.02). Conclusion: Consuming non-water fluids showed negative effects on blood pressure. Contrary to previous studies, dairy fluid consumption in men was associated with increased blood glucose. It is possible that high glycemic foods tied to dairy consumption modulate this association. Our results in women are consistent with previous studies were juice consumption increases triglyceride production and VLDL-Cholesterol. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
46. Emergent viruses in America: The case of Oropouche virus.
- Author
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Romero-Alvarez, D. and Escobar, L.E.
- Published
- 2018
- Full Text
- View/download PDF
47. Measuring the epidemiological uncertainty in snakebite case reports in 2016 Ecuador.
- Author
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Valverde-Muñoz, G. and Romero-Alvarez, D.
- Published
- 2018
- Full Text
- View/download PDF
48. Increased Intake of Alpha-linolenic Acid Is Associated with Higher Exam Scores.
- Author
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Vilches, J., Christensen, J., Aguilar-Alvarez, D., Chan, J., and Gautney, J.
- Subjects
- *
ALPHA-linolenic acid , *FOOD consumption , *CONFERENCES & conventions , *ACADEMIC achievement - Published
- 2023
- Full Text
- View/download PDF
49. EP-1192: Preliminary results of hipofractionated treatment with SIB using VMAT with tangentials arcs in breast cancer.
- Author
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Serradilla, A., Alvarez, D., Barbosa-Chaves, A., Ristori, A., Ramos, A., Bezares, A., and Sacchetti, A.
- Subjects
- *
BREAST cancer treatment , *MEDICAL research , *ONCOLOGY research , *MEDICAL care , *CANCER radiotherapy - Published
- 2015
- Full Text
- View/download PDF
50. Mid-infrared emissivity of crystalline silicon solar cells.
- Author
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Riverola, A., Mellor, A., Alonso Alvarez, D., Ferre Llin, L., Guarracino, I., Markides, C.N., Paul, D.J., Chemisana, D., and Ekins-Daukes, N.
- Subjects
- *
SILICON solar cells , *EMISSIVITY , *THERMAL analysis , *TEMPERATURE effect , *ABSORPTION spectra - Abstract
The thermal emissivity of crystalline silicon photovoltaic (PV) solar cells plays a role in determining the operating temperature of a solar cell. To elucidate the physical origin of thermal emissivity, we have made an experimental measurement of the full radiative spectrum of the crystalline silicon (c-Si) solar cell, which includes both absorption in the ultraviolet to near-infrared range and emission in the mid-infrared. Using optical modelling, we have identified the origin of radiative emissivity in both encapsulated and unencapsulated solar cells. We find that both encapsulated and unencapsulated c-Si solar cells are good radiative emitters but achieve this through different effects. The emissivity of an unencapsulated c-Si solar cell is determined to be 75% in the MIR range, and is dominated by free-carrier emission in the highly doped emitter and back surface field layers; both effects are greatly augmented through the enhanced optical outcoupling arising from the front surface texture. An encapsulated glass-covered cell has an average emissivity around 90% on the MIR, and dips to 70% at 10 µm and is dominated by the emissivity of the cover glass. These findings serve to illustrate the opportunity for optimising the emissivity of c-Si based collectors, either in conventional c-Si PV modules where high emissivity and low-temperature operation is desirable, or in hybrid PV-thermal collectors where low emissivity enables a higher thermal output to be achieved. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
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