Results 61 to 70 of about 1,258,510 (324)

Prediction Space Weather Using an Asymmetric Cone Model for Halo CMEs

, 2007
Halo coronal mass ejections (HCMEs) are responsible of the most severe geomagnetic storms. A prediction of their geoeffectiveness and travel time to Earth's vicinity is crucial to forecast space weather.
A. Dal Lago, C. Wu, D.F. Webb, G. Michalek, G. Michalek, G. Michalek, G. Michalek, G.E. Brueckner, G.M. Lindsay, H. Cremades, H. Xie, H. Xie, H.V. Cane, J. Chen, J. Chen, J. Chen, J. Krall, J. Zhang, J.-P. Delaboudiniére, K.P. Dere, K.W. Ogilvie, N. Gopalswamy, N. Gopalswamy, N. Gopalswamy, N. Gopalswamy, N. Gopalswamy, N. Gopalswamy, N. Gopalswamy, N. Srivastava, O.C. Cyr St., P.K. Manoharan, R.P. Lepping, S. Yashiro, S. Yashiro, S.P. Plunkett, S.W. Kahler, T.G. Forbes, V. Yurchyshyn, X.P. Zhao, Y.-J. Moon   +39 more
core   +1 more source

An open-source tool to identify active travel from hip-worn accelerometer, GPS and GIS data. [PDF]

, 2018
BACKGROUND: Increases in physical activity through active travel have the potential to have large beneficial effects on populations, through both better health outcomes and reduced motorized traffic.
Clary, C, Cook, DG, Cooper, AR, Cummins, S, Ellaway, A, Giles-Corti, B, Lewis, D, Nightingale, CM, Owen, CG, Page, AS, Procter, DS, Ram, B, Rudnicka, AR, Whincup, PH   +13 more
core   +5 more sources

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source

Real-Time Travel Time Prediction Based on Evolving Fuzzy Participatory Learning Model

Journal of Advanced Transportation, 2022
Urban expressways take on rapid and external transport in the city due to their fast, safe, and large capacity. Implementing intelligent and active traffic control can effectively improve the performance of urban traffic and mitigate the urban traffic ...
Yongyi Li, Ming Zhang, Yixing Ding, Zhenghua Zhou, Lingyu Xu   +4 more
doaj   +1 more source

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed, Raquel Revuelta Iniesta, Mary Fewtrell, Julie Lanigan, Breeana Gardiner, Graeme O'Connor   +5 more
wiley   +1 more source

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction

, 2018
Taxi demand prediction is an important building block to enabling intelligent transportation systems in a smart city. An accurate prediction model can help the city pre-allocate resources to meet travel demand and to reduce empty taxis on streets which ...
Gong, Pinghua, Jia, Yitian, Ke, Jintao, Li, Zhenhui, Lu, Siyu, Tang, Xianfeng, Wu, Fei, Yao, Huaxiu, Ye, Jieping   +8 more
core   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor, Flora Hoodin, Michelle Byrd, Kristin A. Kullgren, Leah LaLonde, Lauren Benkoske, Patrick Smith, Dawn Carson, Karen MacDonald, Susumu Inoue, Brenda Kitchen, Kate Gowans, Gregory A. Yanik   +12 more
wiley   +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

[[alternative]]A Study of Travel Time Prediction Models in Transportation Networks [PDF]

, 2009
計畫編號：NSC92-2211-E032-025研究期間：200308~200407研究經費：373,000[[sponsorship ...
董啟崇
core   +3 more sources

Prediction of open-pit mine truck travel time based on LSTM-TabTransformer

Scientific Reports
Truck travel time prediction is the basis for real-time optimal scheduling decision of open-pit trucks. Most prediction models for open-pit truck travel time mainly rely on a single machine learning algorithm or model to optimize the hyperparameters ...
Jingchang Zhao, Lei Gao, Shihao Ren
doaj   +1 more source