Results 41 to 50 of about 24,772,785 (345)

LUOJIA Explorer: An Auto-UAV for Unexposed Space Exploration [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
With the advancement of technology, unexposed spaces have emerged as a new type of strategic area, attracting significant attention from researchers.
S. Sun, S. Sun, S. Sun, C. Chen, C. Chen, C. Chen, B. Yang, B. Yang, B. Yang, L. Li, Y. Xu, Y. Xu, Y. Xu, A. Jin, A. Jin, A. Jin   +15 more
doaj   +1 more source

EUDAQ—a data acquisition software framework for common beam telescopes [PDF]

Journal of Instrumentation, 2019
EUDAQ is a generic data acquisition software developed for use in conjunction with common beam telescopes at charged particle beam lines. Providing high-precision reference tracks for performance studies of new sensors, beam telescopes are essential for ...
P. Ahlburg, S. Arfaoui, J. Arling, H. Augustin, D. Barney, Mathieu Benoit, T. Bisanz, E. Corrin, D. Cussans, D. Dannheim, J. Dreyling-Eschweiler, T. Eichhorn, A. Fiergolski, I. Gregor, J. Grosse-Knetter, D. Haas, L. Huth, A. Irles, H. Jansen, J. Janssen, M. Keil, J. Keller, M. Kiehn, M. Kiehn, H. Kim, J. Kroll, K. Krüger, S. Kulis, J. Kvasnicka, J. C. Lange, Y. Liu, F. Lütticke, C. Marinas, C. Marinas, P. Martinengo, A. Nürnberg, B. Paschen, H. Perrey, R. Peschke, D. Pitzl, D. Pohl, A. Quadt, T. Quast, T. Quast, F. Reidt, E. Rossi, I. Rubinsky, A. Rummler, H. Schreeck, P. Schütze, B. Schwenker, S. Spannagel, M. Stanitzki, U. Stolzenberg, T. Suehara, M. Šuljić, G. Troska, M. Varga-Kofarago, J. Weingarten, J. Weingarten, P. Wieduwilt   +60 more
semanticscholar   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Aircraft Data Acquisition [PDF]

INCAS Bulletin, 2016
The introduction of digital systems instead of analog ones has created a major separation in the aviation technology. Although the digital equipment made possible that the increasingly faster controllers take over, we should say that the real world ...
Elena BALMUS
doaj   +1 more source

Incidence and Outcome of Infants With Cancer in Canada: A Report From Cancer in Young People in Canada Database

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Infants with cancer are rare and face unique challenges. Our study aims to describe the incidence of infantile cancers in Canada and to compare treatment‐related mortality (TRM) and their outcomes with those of older children. Methods We conducted a retrospective cohort study using the Cancer in Young People in Canada database ...
Samuel Sassine, Hallie Coltin, Maria Kondyli, Monia Marzouki, Nicolas Prud'homme, Nida Usmani, Sylvia Cheng, Lesleigh Abbott, Tony Truong, Sapna Oberoi, Ketan Kulkarni, Josée Brossard, Lynette Bowes, Paul Gibson, Donna L. Johnston, Sarah McKillop, Roona Sinha, Lillian Sung, Catherine Vezina, Laura Wheaton, Alexandra P. Zorzi, Marie‐Claude Pelland‐Marcotte, Thai Hoa Tran   +22 more
wiley   +1 more source

RT‐PCR–Based Detection of Bone Marrow Involvement in Ewing Sarcoma: Diagnostic Validity and Prognostic Relevance

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background In Ewing sarcoma (EwS), metastases, including those to bone marrow (BM), are the main factors influencing prognosis. Although reverse transcription polymerase chain reaction (RT‐PCR) offers greater sensitivity, the current EWING protocol defines BM metastases solely using light microscopic detection.
Thanh Pham, Andreas Ranft, Victor Rechl, Susanne Jabar, Wolfgang Hartmann, Kim Falkenberg, Heribert Jürgens, Norbert Graf, Torsten Keßler, Markus Metzler, Thomas Klingebiel, Thorsten Simon, Martin Benesch, Uta Dirksen   +13 more
wiley   +1 more source

Comparative Analysis of Ultra-Low-Power PPM Demodulation Algorithms Applied to Underwater Biotelemetry Systems’ Bidirectional Acoustic Tags

IEEE Access
In this article, a comparative analysis of pulse position modulation demodulation algorithms tailored for ultra-low-power applications is presented, specifically in the context of bidirectional acoustic tags developed to improve marine biotelemetry data ...
Gerard Batet, Enoc Martinez, David Sarria, Spartacus Gomariz, Joaquin Del Rio, Ivan Masmitja   +5 more
doaj   +1 more source

Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning

Italian National Conference on Sensors, 2019
In this paper, we perform a systematic study about the on-body sensor positioning and data acquisition details for Human Activity Recognition (HAR) systems.
Seungeun Chung, Jiyoun Lim, K. Noh, Gague Kim, Hyuntae Jeong   +4 more
semanticscholar   +1 more source

The XENON1T data acquisition system [PDF]

Journal of Instrumentation, 2019
The XENON1T liquid xenon time projection chamber is the most sensitive detector built to date for the measurement of direct interactions of weakly interacting massive particles with normal matter.
E. Aprile, J. Aalbers, J. Aalbers, F. Agostini, M. Alfonsi, L. Althueser, F. Amaro, V. C. Antochi, F. Arneodo, D. Barge, L. Baudis, B. Bauermeister, L. Bellagamba, M. Benabderrahmane, T. Berger, P. Breur, A. Brown, E. Brown, S. Bruenner, G. Bruno, R. Budnik, L. Bütikofer, C. Capelli, J. Cardoso, D. Cichon, D. Coderre, A. Colijn, J. Conrad, J. Cussonneau, M. Decowski, P. Perio, P. Gangi, A. Giovanni, S. Diglio, A. Elykov, G. Eurin, J. Fei, A. Ferella, A. Fieguth, W. Fulgione, P. Gaemers, A. G. Rosso, M. Galloway, F. Gao, M. Garbini, L. Grandi, Z. Greene, C. Hasterok, E. Hogenbirk, J. Howlett, M. Iacovacci, R. Itay, F. Joerg, S. Kazama, A. Kish, M. Kobayashi, G. Koltman, A. Kopec, H. Landsman, R. Lang, L. Levinson, Q. Lin, S. Lindemann, M. Lindner, F. Lombardi, F. Lombardi, J. Lopes, E. L. Fune, C. Macolino, J. Mahlstedt, A. Manfredini, A. Manfredini, F. Marignetti, T. M. Undagoitia, J. Masbou, D. Masson, S. Mastroianni, M. Messina, K. Micheneau, K. Miller, A. Molinario, K. Morå, Y. Mosbacher, M. Murra, J. Naganoma, K. Ni, U. Oberlack, K. Odgers, B. Pelssers, R. Peres, R. Peres, F. Piastra, J. Pienaar, V. Pizzella, G. Plante, R. Podviianiuk, H. Qiu, D. Garc'ia, S. Reichard, B. Riedel, A. Rocchetti, N. Rupp, J. Santos, G. Sartorelli, N. Šarčević, M. Scheibelhut, S. Schindler, J. Schreiner, D. Schulte, M. Schumann, L. Lavina, M. Selvi, P. Shagin, E. Shockley, M. Silva, H. Simgen, C. Therreau, D. Thers, F. Toschi, G. Trinchero, C. Tunnell, N. Upole, M. Vargas, G. Volta, O. Wack, H. Wang, Y. Wei, C. Weinheimer, D. Wenz, C. Wittweg, J. Wulf, J. Ye, Yuan Zhang, T. Zhu, J. Zopounidis, M. Pieracci, C. Tintori   +136 more
semanticscholar   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source