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361
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362“…We exemplify the usefulness of the GeNePy3D toolbox by re-analysing a recently published whole-brain zebrafish neuronal atlas, with other applications and examples available online. …”
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363
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364
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365por Wolff, Annalena“…Polishing with high-energy Ne ions at a glancing angle maintains the crystal structure and significantly improves indexing in EBSD measurements. …”
Publicado 2021
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366por Rydzewski, Nicholas R., Peterson, Erik, Lang, Joshua M., Yu, Menggang, Laura Chang, S., Sjöström, Martin, Bakhtiar, Hamza, Song, Gefei, Helzer, Kyle T., Bootsma, Matthew L., Chen, William S., Shrestha, Raunak M., Zhang, Meng, Quigley, David A., Aggarwal, Rahul, Small, Eric J., Wahl, Daniel R., Feng, Felix Y., Zhao, Shuang G.“…Herein, we describe an approach utilizing in vitro DNA and RNA sequencing and drug response data to create TreAtment Response Generalized Elastic-neT Signatures (TARGETS). We trained TARGETS drug response models using Elastic-Net regression in the publicly available Genomics of Drug Sensitivity in Cancer (GDSC) database. …”
Publicado 2021
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367“…Qualitative and quantitative experiments are performed on malignant melanoma image dataset to evaluate the performance of the NeDSeM method. Compared with some state-of-the-art methods, our method has achieved good results in terms of performance and accuracy.…”
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368“…CELLoGeNe removes inadvertent symmetries in the energy landscapes normally arising from standard Boolean operators. …”
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369por Borges, Fernando S., Moreira, Joao V. S., Takarabe, Lavinia M., Lytton, William W., Dura-Bernal, Salvador“…We have implemented this highly detailed and complex S1 model in NetPyNE, using the data available in the Neocortical Microcircuit Collaboration Portal. …”
Publicado 2022
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370
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371por Yadav, Dhirendra P., Jalal, Anand Singh, Goyal, Ayush, Mishra, Avdesh, Uprety, Khem, Guragai, Nirmal“…In addition, the training time per epochs of the model is very less compared to VGG19, ResNet-50, ResNeXt. The proposed CResNeXt model’s binary classification (COVID-19 versus No-Finding) accuracy is observed to be 98.63% and 99.99% and multi-class classification (COVID-19, Pneumonia, and No-Finding) accuracy is observed to be 97.42% and 99.27% on the original and augmented datasets, respectively.…”
Publicado 2023
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372
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373
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374
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375por Lee, H Y, Angulo, C, Becker, H W, Casarejos, E, Couder, M, Couture, A, Fulton, B R, Görres, J, Groombridge, D, Laird, A M, Leleux, P, Stech, E, Strandberg, E, Tan, W, Ugalde, C, Wiescher, MEnlace del recurso
Publicado 2006
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376por Pardons, A“…This paper gives an overview of the operation and experience gained in the running of magnetic horns in conventional neutrino beam lines (K2K, MiniBooNE, NuMI and CNGS) over the last decade. Increasing beam power puts higher demands on horn conductors but even more on their hydraulic and electrical systems, while the horn environment itself becomes more hostile due to radiation. …”
Publicado 2008
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377
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378por Babusci, D., Bini, C., Bossi, F., Isidori, G., Moricciani, D., Nguyen, F., Raimondi, P., Venanzoni, G., Alesini, D., Archilli, F., Badoni, D., Baldini-Ferroli, R., Bellaveglia, M., Bencivenni, G., Bertani, M., Biagini, M., Biscari, C., Bloise, C., Bocci, V., Boni, R., Boscolo, M., Branchini, P., Budano, A., Bulychjev, S.A., Buonomo, B., Campana, P., Capon, G., Castellano, M., Ceradini, F., Chiadroni, E., Ciambrone, P., Cultrera, L., Czerwinski, E., Dane, E., Delle Monache, G., De Lucia, E., Demma, T., De Robertis, G., De Santis, A., De Zorzi, G., Di Domenico, A., Di Donato, C., Di Micco, B., Di Pasquale, E., Di Pirro, G., Di Salvo, R., Domenici, D., Drago, A., Esposito, M., Erriquez, O., Felici, G., Ferrario, M., Ficcadenti, L., Filippetto, D., Fiore, S., Franzini, P., Franzini, G., Gallo, A., Gatti, G., Gauzzi, P., Giovannella, S., Ghigo, A., Gonnella, F., Graziani, E., Guiducci, S., Happacher, F., Hoistad, B., Iarocci, E., Jacewicz, M., Johansson, T., Kluge, W., Kulikov, V.V., Kupsc, A., Lee Franzini, J., Ligi, C., Loddo, F., Lukin, P., Marcellini, F., Marchetti, C., Martemianov, M.A., Martini, M., Matsyuk, M.A., Mazzitelli, G., Messi, R., Milardi, C., Mirazzita, M., Miscetti, S., Morello, G., Moskal, P., Mueller, S., Pacetti, S., Pancheri, G., Pasqualucci, E., Passera, M., Passeri, A., Patera, V., Polosa, A.D., Preger, M., Quintieri, L., Ranieri, A., Rossi, P., Sanelli, C., Santangelo, P., Sarra, I., Schioppa, M., Sciascia, B., Serio, M., Sgamma, F., Silarski, M., Spataro, B., Stecchi, A., Stella, A., Stucci, S., Taccini, C., Tomassini, S., Tortora, L., Vaccarezza, C., Versaci, R., Wislicki, W., Wolke, M., Zdebik, J., Zobov, M.“…This document reviews the physics program of the KLOE-2 detector at DA$\Phi$NE upgraded in energy and provides a simple solution to run the collider above the $\phi$-peak (up to 2, possibly 2.5 GeV). …”
Publicado 2010
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379por Alesini, D, Battisti, A, Coiro, O, Demma, T, Guiducci, S, Lollo, V, Milardi, C, Raimondi, P, Serio, M, Sorchetti, R, Zobov, M“…Metallic clearing electrodes have been designed to absorb the photo-electrons in the DAΦNE positron ring. They have been inserted in the wiggler and dipole vacuum chambers and have been connected to external high voltage generators. …”
Publicado 2010
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380por Bosetti, Peter C, Fritze, P, Grässler, Herbert, Hasert, F J, Schulte, R, Shultze, K, Geich-Gimbel, C, Nellen, B, Pech, R, Wünsch, B, Grant, A, Hulth, P O, Klein, H, Morrison, Douglas Robert Ogston, Pape, L, Wachsmuth, H W, Vayaki, Anna, Barnham, Keith W J, Beuselinck, R, Clayton, E F, Miller, D B, Mobayyen, M M, Petrides, A, Albajar, C, Myatt, Gerald, Saitta, B, Wells, J, Bolognese, T, Vignaud, DEnlace del recurso
Publicado 1983
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