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  1. 5281
    “…This paper proposes a fast high-resolution phase diversity method with limited memory Broyden–Fletcher–Goldfarb–Shanno (L-BFGS) algorithm, which can accurately detect aberrations in the presence of high-order aberrations. …”
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    Fast High-Resolution Phase Diversity Wavefront Sensing with L-BFGS Algorithm
  2. 5282
    por Tantucci, Claudio, Modina, Denise
    Publicado 2012
    “…The landmark study of Fletcher and Peto on the natural history of tobacco smoke-related chronic airflow obstruction suggested that decline in the forced expiratory volume in the first second (FEV(1)) in chronic obstructive pulmonary disease (COPD) is slow at the beginning, becoming faster with more advanced disease. …”
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    Lung function decline in COPD
  3. 5283
    “…Clinically it is usually a slow-growing mass of upper extremities with frequent local recurrence and rare regional lymphatic and systemic metastasis (Fletcher et al. (2002), Enzinger and Zhang (1988), Remstein et al. (1999)).…”
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    Mitotically Active Plexiform Fibrohistiocytic Tumor
  4. 5284
    “…Involvement of parametrial disease in locally advanced cervical patients poses a challenge for women undergoing brachytherapy. Current use of the Fletcher suit applicator may not adequately cover the high risk clinical target volume (HR CTV), especially in the parametrial region due to the physical qualities of brachytherapy from the inverse square law and the need to respect organs at risk (OAR) constraints, and leads to lower local control rates. …”
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    Outpatient combined intracavitary and interstitial cervical brachytherapy: barriers and solutions to implementation of a successful programme – a single institutional experience
  5. 5285
    por Chuong, Edward B.
    Publicado 2018
    “…In a recent study, Dunn-Fletcher and colleagues discover a striking example of an ERV-derived enhancer element that has been co-opted to regulate a gene important for human pregnancy. …”
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    The placenta goes viral: Retroviruses control gene expression in pregnancy
  6. 5286
    “…The sensitivity coefficients were analyzed to provide the thermal property estimation. The Broydon-Fletcher-Goldfarb-Shanno (BFGS) optimization technique was applied to minimize an objective function. …”
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    A Different Approach to Estimate Temperature-Dependent Thermal Properties of Metallic Materials
  7. 5287
    por Xue, Cuiping, Zhang, Tie, Xiao, Dong
    Publicado 2021
    “…The output relation block is monitored by the Broyden–Fletcher–Goldfarb–Shanno method. Finally, the effectiveness of the proposed fault detection method is verified by the recognized Eastman process data in Tennessee.…”
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    Output-Related and -Unrelated Fault Monitoring with an Improvement Prototype Knockoff Filter and Feature Selection Based on Laplacian Eigen Maps and Sparse Regression
  8. 5288
    “…The proposal is based on the optimization algorithms, Scaling-by-Majorizing-a-Complicated-Function and the Limited-Memory-Broyden-Fletcher-Goldfarb-Shannon. A qualitative evaluation of these algorithms is performed for 3D positioning. …”
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    Object Positioning Algorithm Based on Multidimensional Scaling and Optimization for Synthetic Gesture Data Generation
  9. 5289
    por Bao, Han, Sakaue, Shinsaku
    Publicado 2022
    “…Our theoretical analysis reveals that a larger q leads to a faster convergence when optimized with the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm. In summary, the deformation induces a trade-off between the sparsity and convergence speed.…”
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    Sparse Regularized Optimal Transport with Deformed q-Entropy
  10. 5290
    por Abolins, M, Achenbach, R, Adorisio, C, Adragna, P, Aharrouche, M, Aielli, G, Al-Shabibi, A, Aleksandrov, I, Alexandre, G, Aloisio, A, Alviggi, M G, Amorim, A, Anderson, K, Andrei, V, Anduaga, X, Antonelli, S, Anulli, F, Aracena, I, Ask, S, Åsman, B, Asquith, L, Avolio, G, Backlund, S, Badescu, E, Bahat Treidel, O, Baines, J, Barnett, B M, Bartoldus, R, Batraneanu, S, Battaglia, A, Bauss, B, Beck, H P, Bee, C, Behera, P, Bell, P, Bell, W H, Bellagamba, L, Bellomo, M, Ben Ami, S, Bendel, M, Benhammou, Ya, Benslama, K, Berge, D, Berger, N, Berry, T, Bianco, M, Biau, C, Biglietti, M, Blair, R E, Bogaerts, A, Bohm, C, Boisvert, V, Bold, T, Bondioli, M, Booth, J R A, Boscherini, D, Bosman, M, Boyd, J, Bracinik, J, Brawn, I P, Brelier, B, Bressler, S, Brooks, W, Brunet, S, Bruni, A, Bruni, G, Bucci, F, Buda, S, Burckhart-Chromek, D, Buttar, C, Camarri, P, Campanelli, M, Canale, V, Caprini, M, Caracinha, D, Cardarelli, R, Carlino, G, Casadei, D, Casado, M P, Cataldi, G, Cerri, A, Charlton, D G, Childers, J T, Chiodini, G, Ciapetti, G, Cimino, D, Ciobotaru, M, Clements, D, Coccaro, A, Collins, N J, Conde-Muíño, P, Constantin, S, Conventi, F, Corradi, M, Corso-Radu, A, Costa, M J, Coura Torres, R, Cranfield, R, Cranmer, K, Crone, G, Crupi, R, Cuenca-Almenar, C, Curtis, C J, Czyczula, Z, Dam, M, Damazio, D, Darlea, G L, Davis, A O, Dawson, I, De Pedis, D, De Santo, A, De Seixas, J M, DeAsmundis, R, Degenhardt, J, Della Volpe, D, DellaPietra, M, Delsart, P-A, Demers, S, Demirkoz, B, Di Mattia, A, Díaz, M, Di Ciaccio, A, Dionisi, C, Djilkibaev, R, Dobson, E, Dobson, M, Dogaru, M, Dos Anjos, A, Dotti, A, Dova, M T, Drake, G, Dufour, M-A, Eckweiler, S, Ehrenfeld, W, Eifert, T, Eisenhandler, E F, Ellis, Nick, Emeliyanov, D, Enoque Ferreira de Lima, D, Ermoline, Y, Eschrich, I, Etzion, E, Falciano, S, Farthouat, P, Faulkner, P J W, Fedorko, I, Feng, E, Ferland, J, Ferrari, R, Ferrer, M L, Flacher, H, Fleckner, J E, Flowerdew, M, Föhlisch, F, Fonseca-Martin, T, Francis, D, Fratina, S, Fukunaga, C, Gadomski, S, Gallacher, M P, Gällnö, P, Garitaonandia Elejabarrieta, H, Gaudio, G, Gee, C N P, George, S, Ghete, V M, Giagu, S, Gillman, A R, Giusti, P, Goncalo, R, Gonzalez Pinto, F, Gonzalez Silva, L, Göringer, C, Gorini, B, Gorini, E, Grabowska-Bold, I, Grancagnolo, F, Grancagnolo, S, Green, B, Groll, M, Haas, S, Hadavand, H, Hadley, D R, Haller, J, Hamilton, A, Hanke, P, Hansen, J R, Hasagawa, S, Hasegawa, Y, Hauschild, M, Hauser, R, Hayakawa, T, Head, S, Heijboer, A, Hellman, S, Hidvégi, A, Hillier, S J, Hirayama, S, Höcker, A, Hori, T, Hrynóva, T, Hughes-Jones, R, Huston, J, Iacobucci, G, Idarraga, J, Igonkina, O, Ikeno, M, Ishikawa, A, Ishino, M, Iwasaki, H, Izzo, V, Jain, V, Jiménez-Otero, S, Johansen, M, Johns, K, Joos, M, Kadosaka, T, Kajomovitz, E, Kalinowski, A, Kama, S, Kanaya, N, Kanega, F, Kawagoe, K, Kawamoto, T, Kazarov, A, Kehoe, R, Kessoku, K, Khoriauli, G, Kieft, G, Kirk, J, Kiyamura, H, Klofver, P, Klous, S, Kluge, E-E, Kobayashi, T, Koeneke, K, Kolos, S, Kono, T, Konoplich, R, Konstantinidis, N, Korcyl, K, Kordas, K, Kotov, V, Krasznahorkay, A, Kubota, T, Kugel, A, Kurashige, H, Kwee, R, Landon, M, Lankford, A J, Leahu, L, Leahu, M, LeCompte, T, Ledroit, F, Lehmann-Miotto, G, Lei, X, Lellouch, D, Lendermann, V, Levinson, L, Leyton, M, Li, S, Liberti, B, Lifshitz, R, Lilley, J N, Lim, H, Lohse, T, Losada, M, Luci, C, Luminari, L, Lupu, N, Mackeprang, R, Maettig, S, Mahboubi, K, Mahout, G, Maltrana, D, Mapelli, L, Marchese, F, Marino, C, Martin, B, Martin, B T, Marzano, F, Masik, J, Matsushita, T, McMahon, T, McPherson, R, Medinnis, M, Meessen, C, Meier, K, Meirosu, C, Messina, A, Middleton, R P, Migliaccio, A, Mikenberg, G, Mincer, A, Mineev, M, Misiejuk, A, Moa, T, Mönig, K, Monticelli, F, Moraes, A, Moreno, D, Morettini, P, Morris, J D, Müller, F, Murillo Garcia, R, Nagano, K, Nagasaka, Y, Nakatsuka, H, Navarro, G A, Negri, A, Némethy, P, Neusiedl, A, Nisati, A, Niwa, T, Nomoto, H, Nozaki, M, Nozicka, M, Ochi, A, Oda, S, Ohm, C, Okumura, Y, Oltmann, B, Olvito, D, Omachi, C, Osculati, B, Oshita, H, Osuna, C, Özcan, E, Ozone, K, Padilla, C, Panes, B, Panikashvili, N, Parodi, F, Pasqualucci, E, Pastore, F, Patricelli, S, Pauly, T, Perantoni, M, Perera, V J O, Pérez, E, Pérez-Réale, V, Perrino, R, Pessoa Lima Junior, H, Petcu, M, Petersen, B, Petersen, J, Petrolo, E, Piegaia, R, Pilcher, J E, Pinzon, G, Policicchio, A, Polini, A, Pope, B, Potter, C, Prieur, D P F, Primavera, M, Prokishin, F, Qian, W, Quinonez, F, Radescu, V, Rajagopalan, S, Ramos Dos Santos Neves, R, Reinsch, A, Renkel, P, Rescigno, M, Rieke, S, Risler, C, Riu, I, Robertson, S, Roda, C, Rodríguez, D, Rogriquez, Y, Roich, A, Romeo, G, Rosati, S, Rühr, F, Ruiz-Martinez, A, Ryabov, Yu, Ryan, P, Saavedra, A, Sakamoto, H, Salamon, A, Salvatore, D, Sankey, D P C, Santamarina, C, Santonico, R, Sasaki, O, Savu, D, Scannicchio, D, Schäfer, U, Schiavi, C, Schlereth, J L, Schmitt, K, Schmitt, S, Scholtes, I, Schooltz, D, Schroer, N, Schuler, G, Schultz-Coulon, H-C, Scott, W, Segura, E, Sekhniaidze, G, Sherman, D, Shimojima, M, Sidoti, A, Silverstein, D, Silverstein, S, Siragusa, G, Sivoklokov, S, Sjoen, R, Sjölin, J, Sloper, J E, Smizanska, M, Soloviev, I, Spagnolo, S, Spiwoks, R, Staley, R J, Stamen, R, Stancu, S, Steinberg, P, Stelzer, J, Stockton, M C, Stradling, A, Strässner, A, Strom, D, Su, D, Sugaya, Y, Sugimoto, T, Sushkov, S, Sutton, M, Suzuki, Y, Szymocha, T, Taffard, A, Takahashi, Y, Takeda, H, Takeshita, T, Tamsett, M, Tan, C L A, Tanaka, S, Tapprogge, S, Tarem, S, Tarem, Z, Teixeira-Dias, P, Thomas, J P, Thompson, P D, Tokushuku, K, Tomoto, M, Torrence, E, Touchard, F, Tremblet, L, Tripiana, M, Ünel, G, Urquijo, P, Urrejola, P, Usai, G, Vachon, B, Vandelli, W, Vari, R, Vaz-Gil-Lopes, L, Veneziano, S, Ventura, A, Vercesi, V, Vermeulen, J C, Von Der Schmitt, J, Vorwerk, V, Wang, M, Watkins, P M, Watson, A, Weber, P, Weidberg, T, Wengler, T, Werner, P, Werth, M, Wessels, M, Wheeler-Ellis, S, Whiteson, D, Wickens, F J, Wiedenmann, W, Wielers, M, Wildt, M, Wilkens, H, Winklmeier, F, Wu, S-L, Wu, X, Xella, S, Yamazaki, Y, Yasu, Y, Zanello, L, Zema, F, Zhang, J, Zhao, L, Zobernig, H, Zur Nedden, M
    Publicado 2008
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    The ATLAS Trigger/DAQ Authorlist, version 1.0
  11. 5291
    “…An ANN, based on the Broyden–Fletcher–Goldfarb–Shanno (BFGS) iterative algorithm, for the prediction of HM and PAE concentrations, based on land use and soil type parameters, showed good prediction capabilities (the coefficient of determination (r(2)) values during the training cycle for HM concentration variables were 0.895, 0.927, 0.885, 0.813, 0.883, 0.917, 0.931, and 0.883, respectively, and for PAEs, the concentration variables were 0.950, 0.974, 0.958, 0.974, and 0.943, respectively). …”
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    Prediction of the Impact of Land Use and Soil Type on Concentrations of Heavy Metals and Phthalates in Soil Based on Model Simulation
  12. 5292
    “…Primula amethystina subsp. argutidens (Franchet) W. W. Smith & H. R. Fletcher (1942) is a blooming plant of the family Primulaceae. …”
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    The complete chloroplast genome of Primula amethystina subsp. argutidens (Primulaceae)
  13. 5293
    “…Human plasma kallikrein (PKa) is obtained by activating its precursor, prekallikrein (PK), historically named the Fletcher factor. Human PKa and tissue kallikreins are serine proteases from the same family, having high- and low-molecular weight kininogens (HKs and LKs) as substrates, releasing bradykinin (Bk) and Lys-bradykinin (Lys-Bk), respectively. …”
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    Human plasma kallikrein: roles in coagulation, fibrinolysis, inflammation pathways, and beyond
  14. 5294
    “…The histological features and immunohistiochemical profile of the tumor cells (positivity for CD117 and CD34) were consistent with a gastrointestinal stromal tumor with a high risk of progressive disease according to the Fletcher classification. Diagnosis was confirmed by mutational analysis; this demonstrated mutation in exon 14 of PDGFRA. …”
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    Unusual Appearance of a Pendulated Gastric Tumor: Always Think of GIST
  15. 5295
    “…On the assumption that every cross section of the target trunk is approximate a standard circle and combining the information of an Attitude and Heading Reference System, the radii and center locations of the trunks in the scanning range are calculated by the Fletcher-Reeves conjugate gradient algorithm. The method is validated through experiments in an aspen forest, and the optimized calculation time consumption is compared with the previous work of other researchers. …”
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    Laser Scanning Measurements on Trees for Logging Harvesting Operations
  16. 5296
    “…Gastrointestinal stromal tumors (GISTs) are rare mesenchymal tumors of the gastrointestinal tract that originate from the intestinal cells of Cajal (ICC) (Fletcher et al., 2002). Only a few cases have been described with extragastrointestinal stromal tumors (Kim et al., 2012; Soufi et al., 2013; Meng et al., 2011). …”
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    A Pancreatic Head Tumor Arising as a Duodenal GIST: A Case Report and Review of the Literature
  17. 5297
    “…Pseudoangiomatous spindle cell lipoma, originally described by Fletcher et al in 1994, is a rare variant within the spindle cell/pleomorphic lipoma spectrum, with less than 20 published cases. …”
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    “Low-Fat” Pseudoangiomatous Spindle Cell Lipoma: A Rare Variant With Loss of 13q14 Region
  18. 5298
    “…The phantom walls and internal structures are made of polymethylmethacrylate and its external shape was taken from a female Alderson phantom. A complete Fletcher‐Green type applicator with the uterine tandem was fixed at the bottom of the phantom reproducing a typical geometrical configuration as that attained in a gynecological brachytherapy treatment. …”
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    Absorbed dose calculations in a brachytherapy pelvic phantom using the Monte Carlo method
  19. 5299
    “…For a large number of IRS elements, we apply the iterative algorithms relying on the gradient, such as Broyden–Fletcher–Goldfarb–Shanno (BFGS) and limited-memory BFGS algorithms for which the gradient of the sum rate is derived in a computationally efficient form. …”
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    Sum Rate Optimization of IRS-Aided Uplink Muliantenna NOMA with Practical Reflection
  20. 5300
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    Commissioning of the First Klystron-Based X-Band Power Source at CERN
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