Results 51 to 60 of about 7,574 (194)

Conception and Validation Software Tools for the Level 0 Muon Trigger of LHCb [PDF]

, 2009
The Level-0 muon trigger processor of the LHCb experiment looks for straight particules crossing muon detector and measures their transverse momentum. It processes 40×106 proton-proton collisions per second.
Aslanides, E., Cachemiche, J. P., Cogan, J., Duval, P. Y., Hachon, F., Le Gac, R., Leroy, O., Liotard, P. L., Marin, F., Tsaregorodtsev, A.   +9 more
core   +2 more sources

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma

Molecular Oncology, EarlyView.
The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy, Samuel Hartzler, Paula A. Vargas Carranza, Shyaman Jayasundara, Madison E. Yates, Nimod D. Janson, Bozhi Liu, Annaleigh Benton, Majid Kazemian, Jason A. Hanna   +9 more
wiley   +1 more source

A facility to Search for Hidden Particles (SHiP) at the CERN SPS [PDF]

, 2015
A new general purpose fixed target facility is proposed at the CERN SPS accelerator which is aimed at exploring the domain of hidden particles and make measurements with tau neutrinos. Hidden particles are predicted by a large number of models beyond the
Alaoui, M. A. El, Anelli, M., Aoki, S., Arduini, G., Back, J. J., Bagulya, A., Baldini, W., Baranov, A., Barker, G. J., Barsuk, S., Battistin, M., Bauche, J., Bay, A., Bayliss, V., Bellagamba, L., Bencivenni, G., Bertani, M., Bezshyyko, O., Bick, D., Bingefors, N., Blondel, A., Bogomilov, M., Bonacorsi, D., Bondarenko, D., Bonivento, W., Borburgh, J., Boyarsky, A., Bradshaw, T., Brenner, R., Breton, D., Brook, N., Bruschi, M., Buonaura, A., Buontempo, S., Cadeddu, S., Calcaterra, A., Calviani, M., Campanelli, M., Capoccia, C., Cecchetti, A., Chatterjee, A., Chauveau, J., Chepurnov, A., Chernyavskiy, M., Ciambrone, P., Cicalo, C., Conti, G., Cornelis, K., Courthold, M., D'Ambrosio, N., Dallavalle, M. G., De Lellis, G., De Serio, M., Dedenko, L., Di Crescenzo, A., Di Marco, N., Dib, C., Dietrich, J., Dijkstra, H., Domenici, D., Donskov, S., Druzhkin, D., Ebert, J., Egede, U., Egorov, A., Egorychev, V., Enik, T., Etenko, A., Fabbri, F., Fabbri, L., Fedorova, G., Felici, G., Ferro-Luzzi, M., Fini, R. A., Franke, M., Fraser, M., Galati, G., Giacobbe, B., Goddard, B., Golinka-Bezshyyko, L., Golubkov, D., Golutvin, A., Gorbunov, D., Graverini, E., Grenard, J-L, Guler, A. M., Hagner, C., Hakobyan, H., Helo, J. C., Horvath, D., Iacovacci, M., Iaselli, G., Jacobsson, R., Kadenko, I., Kamiscioglu, C., Kamiscioglu, M., Khaustov, G., Khotjansev, A., Kilminster, B., Kim, V., Kitagawa, N., Kodama, K., Kolesnikov, A., Kolev, D., Komatsu, M., Konovalova, N., Koretskiy, S., Korolko, I., Korzenev, A., Kovalenko, S., Kudenko, Y., Kuznetsova, E., Lacker, H., Lai, A., Lanfranchi, G., Lauria, A., Lebbolo, H., Levy, J. -M., Lista, L., Loverre, P., Lukiashin, A., Lyubovitskij, V. E., Malinin, A., Manfredi, M., Marrone, A., Matev, R., Mermod, P., Messomo, E. N., Mikado, S., Mikhaylov, Yu., Miller, J., Milstead, D., Mineev, O., Mingazheva, R., Mitselmakher, G., Miyanishi, M., Monacelli, P., Montanari, A., Montesi, M. C., Morello, G., Morishima, K., Movtchan, S., Murzin, V., Naganawa, N., Naka, T., Nakamura, M., Nakano, T., Nurakhov, N., Obinyakov, B., Ocalan, K., Ogawa, S., Oreshkin, V., Orlov, A., Osborne, J., Pacholek, P., Panman, J., Paoloni, A., Paparella, L., Pastore, A., Patel, M., Perillo-Marcone, A., Petridis, K., Petrushin, M., Poli-Lener, M., Polukhina, N., Polyakov, V., Prokudin, M., Puddu, G., Pupilli, F., Rademakers, F., Rakai, A., Rawlings, T., Redi, F., Ricciardi, S., Rinaldesi, R., Roganova, T., Rogozhnikov, A., Rokujo, H., Romaniouk, A., Rosa, G., Rostovtseva, I., Rovelli, T., Ruchayskiy, O., Ruf, T., Saitta, G., Samoylenko, V., Samsonov, V., Saputi, A., Sato, O., Schmidt-Parzefall, W., Serra, N., Sgobba, S., Shaposhnikov, M., Shatalov, P., Shaykhiev, A., Shchutska, L., Shevchenko, V., Shibuya, H., SHiP Collaboration, Shitov, Y., Silverstein, S., Simone, S., Skorokhvatov, M., Smirnov, S., Solodko, E., Sosnovtsev, V., Spighi, R., Spinetti, M., Starkov, N., Storaci, B., Strabel, C., Strolin, P., Takahashi, S., Teterin, P., Tioukov, V., Tommasini, D., Treille, D., Tsenov, R., Tshchedrina, T., Ull, A. Sanz, Ustyuzhanin, A., van Herwijnen, E., Vankova-Kirilova, G., Vannucci, F., Venturi, V., Villa, M., Vincke, Heinz, Vincke, Helmut, Vladymyrov, M., Xella, S., Yalvac, M., Yershov, N., Yilmaz, D., Yilmazer, A. U., Zaitsev, Y., Zoccoli, A.   +235 more
core   +1 more source

Emerging role of ARHGAP29 in melanoma cell phenotype switching

Molecular Oncology, EarlyView.
This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster, Melanie Kappelmann‐Fenzl, Anja Katrin Bosserhoff, Nicole Rachinger   +3 more
wiley   +1 more source

The design and implementation of the Technical Facilities Controller (TFC) for the Goldstone deep space communications complex [PDF]

The Technical Facilities Controller is a microprocessor-based energy management system that is to be implemented in the Deep Space Network facilities. This system is used in conjunction with facilities equipment at each of the complexes in the operation ...
Glenn, P., Gorman, T., Killian, D. A., Menninger, F. J.   +3 more
core   +1 more source

Optimisation of power generation cycles using saturated liquid expansion to maximise heat recovery [PDF]

, 2017
The use of two-phase screw expanders in power generation cycles can achieve an increase in the utilisation of available energy from a low-temperature heat source when compared with more conventional single-phase turbines. The efficiency of screw expander
Read, M. G., Smith, I. K., Stosic, N.
core   +1 more source

Gut microbiota diversity is prognostic in metastatic hormone receptor‐positive breast cancer patients receiving chemotherapy and immunotherapy

Molecular Oncology, EarlyView.
In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern, Kristian Holm, Nikolai Kragøe Andresen, Andreas Hagen Røssevold, Corinna Bang, Bjørn Naume, Johannes R. Hov, Jon Amund Kyte   +7 more
wiley   +1 more source

An evaluation of membrane properties and process characteristics of a scaled-up pressure retarded osmosis (PRO) process [PDF]

, 2015
YesThis work presents a systematic evaluation of the membrane and process characteristics of a scaled-up pressure retarded osmosis (PRO). In order to meet pre-defined membrane economic viability ( ≥ 5 W/m2), different operating conditions and design ...
Achilli, Achilli, Achilli, Baig, Bajpai, Banchik, Banchik, Chou, Feinberg, Fimbres-Weihs, Fletcher, Freeman, Gerstandt, Gude, Guirguis, Han, Han, Harris, He, He, He, He, Helfer, Iqbal M. Mujtaba, Kim, Li, Lin, Loeb, Mehta, Mohammad Hasan Shaheed, Naguib, Paish, Peñate, Prante, Robeson, Sauvet-Goichon, Sharqawy, Shengrong, Song, Straub, Tiraferri, Trutnevyte, van't Hoff, Wan, Wang, Wei He, Wiley, Yang Wang, Yip, Yip, Yip, Yip, Zhang   +52 more
core   +1 more source

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source