학술논문


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(예 : 2010-2015)
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'학술논문' 에서 검색결과 123,915건 | 목록 1~20
Conference
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1. :25-36
Conference
2025 International Conference on Smart & Sustainable Technology (INCSST) Smart & Sustainable Technology (INCSST), 2025 International Conference on. :1-8 Jul, 2025
Academic Journal
142 Banking L.J. 482 (2025) / Banking Law Journal, Vol. 142, Issue 10 (November-December 2025), pp. 482-488
Report
Dissecting the Role of miR-3916 and miR3613-5p in Breast Cancer and Developing a Metastases Predictor PORTENT Algorithm
Fontana A, Barbano R, Pasculli B, Mazza T, Palumbo O, Binda E, Trivieri N, Mencarelli G, Laurenzana I, Lamorte D, De Luca L, Caivano A, Biagini T, Rendina M, Lo Mele A, Prencipe G, Bravaccini S, Murgo R, Ciuffreda L, Morritti M, Valori VM, Di Lisa FS, Vici P, Castelvetere M, Carella M, Graziano P, Maiello E, Copetti M, Esteller M, Parrella P. Development of a microRNA-based prognostic model for accurate prediction of distant metastasis in breast cancer patients. Breast Cancer Res. 2025 Sep 29;27(1):170. doi: 10.1186/s13058-025-02124-4.
Report
Comparison Between Contrast-Enhanced Mammography and Magnetic Resonance Imaging in the Surveillance of High-Risk Women for Breast Cancer: The Randomized Controlled Trial 'Con-trust. Funded by European Commission NextGenerationEU - Ministero Della Salute PNRR: M6/C2_CALL 2023 Full Proposal
Alonso-Coello P, Schunemann HJ, Moberg J, Brignardello-Petersen R, Akl EA, Davoli M, Treweek S, Mustafa RA, Rada G, Rosenbaum S, Morelli A, Guyatt GH, Oxman AD; GRADE Working Group. GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 1: Introduction. BMJ. 2016 Jun 28;353:i2016. doi: 10.1136/bmj.i2016. No abstract available.
Cortesi L, Baldassarri B, Ferretti S, Razzaboni E, Bella M, Bucchi L, Canuti D, De Iaco P, De Santis G, Falcini F, Galli V, Godino L, Leoni M, Perrone AM, Pignatti M, Saguatti G, Santini D, Sassoli de'Bianchi P, Sebastiani F, Taffurelli M, Tazzioli G, Turchetti D, Zamagni C, Naldoni C. A regional population-based hereditary breast cancer screening tool in Italy: First 5-year results. Cancer Med. 2020 Apr;9(7):2579-2589. doi: 10.1002/cam4.2824. Epub 2020 Feb 11.
Houssami N, Zackrisson S, Blazek K, Hunter K, Bernardi D, Lang K, Hofvind S. Meta-analysis of prospective studies evaluating breast cancer detection and interval cancer rates for digital breast tomosynthesis versus mammography population screening. Eur J Cancer. 2021 May;148:14-23. doi: 10.1016/j.ejca.2021.01.035. Epub 2021 Mar 9.
Thompson RP. The medical career structure in 1985. J R Coll Physicians Lond. 1985 Jan;19(1):31-3. No abstract available.
Armaroli P, Frigerio A, Correale L, Ponti A, Artuso F, Casella D, Falco P, Favettini E, Fonio P, Giordano L, Marra V, Milanesio L, Morra L, Presti P, Riggi E, Vergini V, Segnan N. A randomised controlled trial of digital breast tomosynthesis vs digital mammography as primary screening tests: Screening results over subsequent episodes of the Proteus Donna study. Int J Cancer. 2022 Nov 15;151(10):1778-1790. doi: 10.1002/ijc.34161. Epub 2022 Jun 30.
Pattacini P, Nitrosi A, Giorgi Rossi P, Duffy SW, Iotti V, Ginocchi V, Ravaioli S, Vacondio R, Mancuso P, Ragazzi M, Campari C; RETomo Working Group. A Randomized Trial Comparing Breast Cancer Incidence and Interval Cancers after Tomosynthesis Plus Mammography versus Mammography Alone. Radiology. 2022 May;303(2):256-266. doi: 10.1148/radiol.211132. Epub 2022 Feb 1.
Liao GJ, Henze Bancroft LC, Strigel RM, Chitalia RD, Kontos D, Moy L, Partridge SC, Rahbar H. Background parenchymal enhancement on breast MRI: A comprehensive review. J Magn Reson Imaging. 2020 Jan;51(1):43-61. doi: 10.1002/jmri.26762. Epub 2019 Apr 19.
Eriksson M, Czene K, Vachon C, Conant EF, Hall P. Long-Term Performance of an Image-Based Short-Term Risk Model for Breast Cancer. J Clin Oncol. 2023 May 10;41(14):2536-2545. doi: 10.1200/JCO.22.01564. Epub 2023 Mar 17.
Eriksson M, Czene K, Strand F, Zackrisson S, Lindholm P, Lang K, Fornvik D, Sartor H, Mavaddat N, Easton D, Hall P. Identification of Women at High Risk of Breast Cancer Who Need Supplemental Screening. Radiology. 2020 Nov;297(2):327-333. doi: 10.1148/radiol.2020201620. Epub 2020 Sep 8.
Gastounioti A, Desai S, Ahluwalia VS, Conant EF, Kontos D. Artificial intelligence in mammographic phenotyping of breast cancer risk: a narrative review. Breast Cancer Res. 2022 Feb 20;24(1):14. doi: 10.1186/s13058-022-01509-z.
van Geel K, Kok EM, Krol JP, Houben IPL, Thibault FE, Pijnappel RM, van Merrienboer JJG, Lobbes MBI. Reversal of the hanging protocol of Contrast Enhanced Mammography leads to similar diagnostic performance yet decreased reading times. Eur J Radiol. 2019 Aug;117:62-68. doi: 10.1016/j.ejrad.2019.05.013. Epub 2019 May 15.
Geach R, Jones LI, Harding SA, Marshall A, Taylor-Phillips S, McKeown-Keegan S, Dunn JA; FAST MRI Study Group. The potential utility of abbreviated breast MRI (FAST MRI) as a tool for breast cancer screening: a systematic review and meta-analysis. Clin Radiol. 2021 Feb;76(2):154.e11-154.e22. doi: 10.1016/j.crad.2020.08.032. Epub 2020 Sep 30.
Kuhl CK. Abbreviated Magnetic Resonance Imaging (MRI) for Breast Cancer Screening: Rationale, Concept, and Transfer to Clinical Practice. Annu Rev Med. 2019 Jan 27;70:501-519. doi: 10.1146/annurev-med-121417-100403.
Rotili A, Trimboli RM, Penco S, Pesapane F, Tantrige P, Cassano E, Sardanelli F. Double reading of diffusion-weighted magnetic resonance imaging for breast cancer detection. Breast Cancer Res Treat. 2020 Feb;180(1):111-120. doi: 10.1007/s10549-019-05519-y. Epub 2020 Jan 14.
Trimboli RM, Verardi N, Cartia F, Carbonaro LA, Sardanelli F. Breast cancer detection using double reading of unenhanced MRI including T1-weighted, T2-weighted STIR, and diffusion-weighted imaging: a proof of concept study. AJR Am J Roentgenol. 2014 Sep;203(3):674-81. doi: 10.2214/AJR.13.11816.
Patel BK, Gray RJ, Pockaj BA. Potential Cost Savings of Contrast-Enhanced Digital Mammography. AJR Am J Roentgenol. 2017 Jun;208(6):W231-W237. doi: 10.2214/AJR.16.17239. Epub 2017 Apr 5.
James JR, Pavlicek W, Hanson JA, Boltz TF, Patel BK. Breast Radiation Dose With CESM Compared With 2D FFDM and 3D Tomosynthesis Mammography. AJR Am J Roentgenol. 2017 Feb;208(2):362-372. doi: 10.2214/AJR.16.16743.
Haas JS, Hill DA, Wellman RD, Hubbard RA, Lee CI, Wernli KJ, Stout NK, Tosteson AN, Henderson LM, Alford-Teaster JA, Onega TL. Disparities in the use of screening magnetic resonance imaging of the breast in community practice by race, ethnicity, and socioeconomic status. Cancer. 2016 Feb 15;122(4):611-7. doi: 10.1002/cncr.29805. Epub 2015 Dec 28.
Morrell BL, Morrell MB, Ball JA, Ochoa AC, Seewaldt VL. Disparities in the use of screening breast magnetic resonance imaging persist in Louisiana after the Affordable Care Act: A question of access, policy, institutional support, or something else? Cancer. 2023 Mar 15;129(6):829-833. doi: 10.1002/cncr.34605. Epub 2023 Jan 12.
Wernli KJ, Callaway KA, Henderson LM, Kerlikowske K, Lee JM, Ross-Degnan D, Wallace JK, Wharam JF, Zhang F, Stout NK. Trends in screening breast magnetic resonance imaging use among US women, 2006 to 2016. Cancer. 2020 Dec 15;126(24):5293-5302. doi: 10.1002/cncr.33140. Epub 2020 Sep 28.
Expert Panel on Breast Imaging; Weinstein SP, Slanetz PJ, Lewin AA, Battaglia T, Chagpar AB, Dayaratna S, Dibble EH, Goel MS, Hayward JH, Kubicky CD, Le-Petross HT, Newell MS, Sanford MF, Scheel JR, Vincoff NS, Yao K, Moy L. ACR Appropriateness Criteria(R) Supplemental Breast Cancer Screening Based on Breast Density. J Am Coll Radiol. 2021 Nov;18(11S):S456-S473. doi: 10.1016/j.jacr.2021.09.002.
Hurson AN, Pal Choudhury P, Gao C, Husing A, Eriksson M, Shi M, Jones ME, Evans DGR, Milne RL, Gaudet MM, Vachon CM, Chasman DI, Easton DF, Schmidt MK, Kraft P, Garcia-Closas M, Chatterjee N; B-CAST Risk Modelling Group. Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries. Int J Epidemiol. 2022 Jan 6;50(6):1897-1911. doi: 10.1093/ije/dyab036. Epub 2021 Mar 23.
Brentnall AR, Evans DG, Cuzick J. Distribution of breast cancer risk from SNPs and classical risk factors in women of routine screening age in the UK. Br J Cancer. 2014 Feb 4;110(3):827-8. doi: 10.1038/bjc.2013.747. Epub 2014 Jan 21. No abstract available.
Sardanelli F, Podo F, Santoro F, Manoukian S, Bergonzi S, Trecate G, Vergnaghi D, Federico M, Cortesi L, Corcione S, Morassut S, Di Maggio C, Cilotti A, Martincich L, Calabrese M, Zuiani C, Preda L, Bonanni B, Carbonaro LA, Contegiacomo A, Panizza P, Di Cesare E, Savarese A, Crecco M, Turchetti D, Tonutti M, Belli P, Maschio AD; High Breast Cancer Risk Italian 1 (HIBCRIT-1) Study. Multicenter surveillance of women at high genetic breast cancer risk using mammography, ultrasonography, and contrast-enhanced magnetic resonance imaging (the high breast cancer risk italian 1 study): final results. Invest Radiol. 2011 Feb;46(2):94-105. doi: 10.1097/RLI.0b013e3181f3fcdf.
Sardanelli F, Boetes C, Borisch B, Decker T, Federico M, Gilbert FJ, Helbich T, Heywang-Kobrunner SH, Kaiser WA, Kerin MJ, Mansel RE, Marotti L, Martincich L, Mauriac L, Meijers-Heijboer H, Orecchia R, Panizza P, Ponti A, Purushotham AD, Regitnig P, Del Turco MR, Thibault F, Wilson R. Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group. Eur J Cancer. 2010 May;46(8):1296-316. doi: 10.1016/j.ejca.2010.02.015. Epub 2010 Mar 19.
Schunemann HJ, Lerda D, Dimitrova N, Alonso-Coello P, Grawingholt A, Quinn C, Follmann M, Mansel R, Sardanelli F, Rossi PG, Lebeau A, Nystrom L, Broeders M, Ioannidou-Mouzaka L, Duffy SW, Borisch B, Fitzpatrick P, Hofvind S, Castells X, Giordano L, Warman S, Saz-Parkinson Z; European Commission Initiative on Breast Cancer Contributor Group. Methods for Development of the European Commission Initiative on Breast Cancer Guidelines: Recommendations in the Era of Guideline Transparency. Ann Intern Med. 2019 Aug 20;171(4):273-280. doi: 10.7326/M18-3445. Epub 2019 Jul 23.
Sardanelli F, Cozzi A, Trimboli RM, Schiaffino S. Gadolinium Retention and Breast MRI Screening: More Harm Than Good? AJR Am J Roentgenol. 2020 Feb;214(2):324-327. doi: 10.2214/AJR.19.21988. Epub 2019 Dec 4.
Lamb LR, Bahl M. Evidence-Based Pragmatic Approach to the Management of Borderline or High-Risk Breast Lesions. AJR Am J Roentgenol. 2022 Jan;218(1):186-187. doi: 10.2214/AJR.21.26340. Epub 2021 Jul 21.
Yala A, Mikhael PG, Lehman C, Lin G, Strand F, Wan YL, Hughes K, Satuluru S, Kim T, Banerjee I, Gichoya J, Trivedi H, Barzilay R. Optimizing risk-based breast cancer screening policies with reinforcement learning. Nat Med. 2022 Jan;28(1):136-143. doi: 10.1038/s41591-021-01599-w. Epub 2022 Jan 13.
Kerlikowske K, Chen S, Golmakani MK, Sprague BL, Tice JA, Tosteson ANA, Rauscher GH, Henderson LM, Buist DSM, Lee JM, Gard CC, Miglioretti DL. Cumulative Advanced Breast Cancer Risk Prediction Model Developed in a Screening Mammography Population. J Natl Cancer Inst. 2022 May 9;114(5):676-685. doi: 10.1093/jnci/djac008.
Bakker MF, de Lange SV, Pijnappel RM, Mann RM, Peeters PHM, Monninkhof EM, Emaus MJ, Loo CE, Bisschops RHC, Lobbes MBI, de Jong MDF, Duvivier KM, Veltman J, Karssemeijer N, de Koning HJ, van Diest PJ, Mali WPTM, van den Bosch MAAJ, Veldhuis WB, van Gils CH; DENSE Trial Study Group. Supplemental MRI Screening for Women with Extremely Dense Breast Tissue. N Engl J Med. 2019 Nov 28;381(22):2091-2102. doi: 10.1056/NEJMoa1903986.
Conference
2012 14th International Conference on Ground Penetrating Radar (GPR) Ground Penetrating Radar (GPR), 2012 14th International Conference on. :579-584 Jun, 2012
Report
Metabolic Risk Assessment in Prepubertal Children With Congenital Hypothyroidism (IpoMet)
Jostel A, Ryder WD, Shalet SM. The use of thyroid function tests in the diagnosis of hypopituitarism: definition and evaluation of the TSH Index. Clin Endocrinol (Oxf). 2009 Oct;71(4):529-34. doi: 10.1111/j.1365-2265.2009.03534.x. Epub 2009 Feb 18.
Iwamoto Y, Kimura T, Tatsumi F, Sugisaki T, Kubo M, Nakao E, Dan K, Wamata R, Iwamoto H, Takahashi K, Sanada J, Fushimi Y, Katakura Y, Shimoda M, Nakanishi S, Mune T, Kaku K, Kaneto H. Effect of Hyperglycemia-Related Acute Metabolic Disturbance on Thyroid Function Parameters in Adults. Front Endocrinol (Lausanne). 2022 May 12;13:869869. doi: 10.3389/fendo.2022.869869. eCollection 2022.
Dietrich JW, Landgrafe-Mende G, Wiora E, Chatzitomaris A, Klein HH, Midgley JE, Hoermann R. Calculated Parameters of Thyroid Homeostasis: Emerging Tools for Differential Diagnosis and Clinical Research. Front Endocrinol (Lausanne). 2016 Jun 9;7:57. doi: 10.3389/fendo.2016.00057. eCollection 2016.
Laclaustra M, Moreno-Franco B, Lou-Bonafonte JM, Mateo-Gallego R, Casasnovas JA, Guallar-Castillon P, Cenarro A, Civeira F. Impaired Sensitivity to Thyroid Hormones Is Associated With Diabetes and Metabolic Syndrome. Diabetes Care. 2019 Feb;42(2):303-310. doi: 10.2337/dc18-1410. Epub 2018 Dec 14.
Lakhani G, Patel P, Patel TC. A Cross-Sectional Study on the Prevalence of Subclinical Hypothyroidism in Metabolic Syndrome Patients at a Tertiary Care Hospital. Cureus. 2024 Aug 26;16(8):e67851. doi: 10.7759/cureus.67851. eCollection 2024 Aug.
Thakur R, Kumar S, Neeraj RK, Saleem M, Kumar C, Mohan L. Evaluation of the Association between Insulin Resistance and Subclinical Hypothyroidism Using Triglyceride-Glucose Index: a Cross-Sectional Study. Maedica (Bucur). 2024 Jun;19(2):255-259. doi: 10.26574/maedica.2024.19.2.255.
Verma DP, Chaudhary SC, Singh A, Sawlani KK, Gupta KK, Usman K, Reddy HD, Patel ML, Verma SK, Atam V. Hypothyroidism in Metabolic Syndrome. Ann Afr Med. 2024 Oct 1;23(4):717-722. doi: 10.4103/aam.aam_25_24. Epub 2024 Sep 14.
Xie H, Li N, Zhou G, He Z, Xu X, Liu Q, Wang H, Han J, Shen L, Yu P, Chen J, Chen X. The association between the thyroid feedback quantile-based index and serum uric acid in U.S. adults. Eur J Med Res. 2023 Jul 27;28(1):259. doi: 10.1186/s40001-023-01214-3.
Xie Y, Wang Z, Chen Z. Analysis of Subclinical Thyroid Dysfunction and Metabolic Abnormality in 28568 Healthy People. Int J Endocrinol. 2023 Oct 16;2023:5216945. doi: 10.1155/2023/5216945. eCollection 2023.
Zhong L, Liu S, Yang Y, Xie T, Liu J, Zhao H, Tan G. Metabolic syndrome and risk of subclinical hypothyroidism: a systematic review and meta-analysis. Front Endocrinol (Lausanne). 2024 Jun 25;15:1399236. doi: 10.3389/fendo.2024.1399236. eCollection 2024.
Di Bonito P, Corica D, Marzuillo P, Di Sessa A, Licenziati MR, Faienza MF, Calcaterra V, Franco F, Maltoni G, Valerio G, Wasniewska M. Sensitivity to Thyroid Hormones and Reduced Glomerular Filtration in Children and Adolescents with Overweight or Obesity. Horm Res Paediatr. 2024;97(4):383-387. doi: 10.1159/000534472. Epub 2023 Oct 9.
Calcaterra V, Mameli C, Macedoni M, De Silvestri A, Sgambetterra L, Nosenzo F, Redaelli FC, Petitti A, Bosetti A, Zuccotti G. Investigating the connection among thyroid function, sensitivity to thyroid hormones, and metabolic syndrome in euthyroid children and adolescents affected by type 1 diabetes. J Pediatr Endocrinol Metab. 2024 Mar 12;37(4):347-352. doi: 10.1515/jpem-2023-0565. Print 2024 Apr 25.
Calcaterra V, Gazzarri A, De Silvestri A, Madia C, Baldassarre P, Rossi V, Garella V, Zuccotti G. Thyroid function, sensitivity to thyroid hormones, and metabolic syndrome in euthyroid children and adolescents with Down syndrome. J Endocrinol Invest. 2023 Nov;46(11):2319-2325. doi: 10.1007/s40618-023-02086-4. Epub 2023 Apr 11.
Biondi B. Subclinical Hypothyroidism in Patients with Obesity and Metabolic Syndrome: A Narrative Review. Nutrients. 2023 Dec 27;16(1):87. doi: 10.3390/nu16010087.
Alwan H, Ribero VA, Efthimiou O, Del Giovane C, Rodondi N, Duntas L. A systematic review and meta-analysis investigating the relationship between metabolic syndrome and the incidence of thyroid diseases. Endocrine. 2024 May;84(2):320-327. doi: 10.1007/s12020-023-03503-7. Epub 2023 Sep 9.
Alsulami SS, Baig M, Albeladi AH, Alyoubi SB, Alsubaie SA, Albeladi SA, Ghamri KA, Alraiqi AMS, Alyoubi SM, Almutairi WA. Correlation between Subclinical Hypothyroidism and Metabolic Syndrome: A Retrospective Study. Saudi J Med Med Sci. 2023 Jul-Sep;11(3):250-256. doi: 10.4103/sjmms.sjmms_225_22. Epub 2023 Jul 15.
Abha P, Keshari JR, Sinha SR, Nishant K, Kumari R, Prakash P. Association of Thyroid Function With Lipid Profile in Patients With Metabolic Syndrome: A Prospective Cross-Sectional Study in the Indian Population. Cureus. 2023 Sep 5;15(9):e44745. doi: 10.7759/cureus.44745. eCollection 2023 Sep.
Report
Adams, D. Q.Alduino, C.Alfonso, K.Armatol, A.Avignone III, F. T.Azzolini, O.Bari, G.Bellini, F.Benato, G.Beretta, M.Biassoni, M.Branca, A.Brofferio, C.Bucci, C.Camilleri, J.Caminata, A.Campani, A.Cao, J.Capelli, C.Capelli, S.Cappelli, L.Cardani, L.Carniti, P.Casali, N.Celi, E.Chiesa, D.Clemenza, M.Copello, S.Cremonesi, O.Creswick, R. J.D'Addabbo, A.Dafinei, I.Dell'Oro, S.Di Domizio, S.Di Lorenzo, S.Dixon, T.Fang, D. Q.Faverzani, M.Ferri, E.Ferroni, F.Fiorini, E.Franceschi, M. A.Freedman, S. J.Fu, S. H.Fujikawa, B. K.Ghislandi, S.Giachero, A.Girola, M.Gironi, L.Giuliani, A.Gorla, P.Gotti, C.Guillaumon, P. V.Gutierrez, T. D.Han, K.Hansen, E. V.Heeger, K. M.Helis, D. L.Huang, H. Z.Hurst, M. T.Keppel, G.Kolomensky, Yu. G.Kowalski, R.Liu, R.Ma, L.Ma, Y. G.Marini, L.Maruyama, R. H.Mayer, D.Mei, Y.Moore, M. N.Napolitano, T.Nastasi, M.Nones, C.Norman, E. B.Nucciotti, A.Nutini, I.O'Donnell, T.Olmi, M.Oregui, B. T.Pagan, S.Pagliarone, C. E.Pagnanini, L.Pallavicini, M.Pattavina, L.Pavan, M.Pessina, G.Pettinacci, V.Pira, C.Pirro, S.Pottebaum, E. G.Pozzi, S.Previtali, E.Puiu, A.Quitadamo, S.Ressa, A.Rosenfeld, C.Schmidt, B.Serino, R.Shaikina, A.Sharma, V.Singh, V.Sisti, M.Speller, D.Surukuchi, P. T.Taffarello, L.Tomei, C.Torres, A.Torres, J. A.Vetter, K. J.Vignati, M.Wagaarachchi, S. L.Welliver, B.Wilson, J.Wilson, K.Winslow, L. A.Xie, F.Zhu, T.Zimmermann, S.Zucchelli, S.
Report
CUORE CollaborationAdams, D. Q.Alduino, C.Alfonso, K.Armatol, A.Avignone III, F. T.Azzolini, O.Bari, G.Bellini, F.Benato, G.Beretta, M.Biassoni, M.Branca, A.Brandani, D.Brofferio, C.Bucci, C.Camilleri, J.Caminata, A.Campani, A.Cao, J.Capelli, S.Cappelli, L.Cardani, L.Carniti, P.Casali, N.Chiesa, D.Chu, Y.Clemenza, M.Copello, S.Cremonesi, O.Creswick, R. J.D'Addabbo, A.Dafinei, I.Dell'Oro, S.Di Domizio, S.Di Lorenzo, S.Dixon, T.Fang, D. Q.Faverzani, M.Ferri, E.Ferroni, F.Fiorini, E.Franceschi, M. A.Freedman, S. J.Fu, S. H.Fujikawa, B. K.Ghislandi, S.Giachero, A.Girola, M.Gironi, L.Giuliani, A.Gorla, P.Gotti, C.Guillaumon, P. V.Gutierrez, T. D.Han, K.Hansen, E. V.Heeger, K. M.Helis, D. L.Huang, H. Z.Hurst, M. T.Keppel, G.Kolomensky, Yu. G.Kowalski, R.Liu, R.Ma, L.Ma, Y. G.Marini, L.Maruyama, R. H.Mayer, D.Moore, M. N.Napolitano, T.Nastasi, M.Nones, C.Norman, E. B.Nucciotti, A.Nutini, I.O'Donnell, T.Olmi, M.Pagan, S.Pagliarone, C. E.Pagnanini, L.Pallavicini, M.Pattavina, L.Pavan, M.Pessina, G.Pettinacci, V.Pira, C.Pirro, S.Pottebaum, E. G.Pozzi, S.Previtali, E.Puiu, A.Puranam, S.Quitadamo, S.Ressa, A.Rosenfeld, C.Schmidt, B.Serino, R.Shaikina, A.Sharma, V.Singh, V.Sisti, M.Speller, D.Surukuchi, P. T.Taffarello, L.Tomei, C.Torres, A.Torres, J. A.Vetter, K. J.Vignati, M.Wagaarachchi, S. L.Wang, R.Welliver, B.Wilson, J.Wilson, K.Winslow, L. A.Xie, F.Zhu, T.Zimmermann, S.Zucchelli, S.
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