Results 41 to 50 of about 10,105,014 (311)

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben   +4 more
wiley   +1 more source

TG‐GPT: A Generative Pre‐Trained Transformer With Gated Recurrent Units for AIS‐Based Ship Trajectory Prediction

open access: yesThe Journal of Engineering
Accurate prediction of ship trajectories using automatic identification system (AIS) data is critical for intelligent marine traffic management. Although Transformer‐based architectures have improved long‐term prediction performance, their short‐term ...
Mang Chen   +2 more
doaj   +1 more source

Short-Term and Long-Term Travel Time Prediction Using Transformer-Based Techniques

open access: yesApplied Sciences
In the evolving field of Intelligent Transportation Systems (ITSs), accurate and reliable traffic prediction is essential in enhancing management and planning capabilities.
Hui-Ting Christine Lin   +2 more
doaj   +1 more source

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk   +10 more
wiley   +1 more source

Long-term Planning by Short-term Prediction

open access: yesCoRR, 2016
We consider planning problems, that often arise in autonomous driving applications, in which an agent should decide on immediate actions so as to optimize a long term objective. For example, when a car tries to merge in a roundabout it should decide on an immediate acceleration/braking command, while the long term effect of the command is the success ...
Shai Shalev-Shwartz   +3 more
openaire   +3 more sources

Biphasic Clinical Course of Pediatric Cytomegalovirus‐Associated Immune Thrombocytopenia: Early Poor Treatment Response but Favorable Long‐Term Outcomes

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad   +9 more
wiley   +1 more source

SHORT-TERM AND LONG-TERM WATER LEVEL PREDICTION AT ONE RIVER MEASUREMENT LOCATION

open access: yesCroatian Operational Research Review, 2012
Global hydrological cycles mainly depend on climate changes whose occurrence is predominantly triggered by solar and terrestrial influence, and the knowledge of the high water regime is widely applied in hydrology.
Rudolf Scitovski   +2 more
doaj  

Gold Prices Prediction using Univariate Long Short Term Memory Method

open access: yesJITeCS (Journal of Information Technology and Computer Science)
Gold is one of the precious metals that serves various purposes beyond being a jewelry material. When it comes to gold, it is often associated with the economy.
Gustian Aditama   +2 more
doaj   +1 more source

Bone Mineral Density After Contemporary Treatment for Acute Lymphoblastic Leukaemia: A Matched Cross‐Sectional Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Reduced bone mineral density (BMD) has been reported in survivors of childhood and young adult acute lymphoblastic leukaemia (ALL); however, data from cohorts treated with contemporary protocols and including matched controls remain limited.
Karen Schow Jensen   +10 more
wiley   +1 more source

Long-Term Trajectory Prediction Model Based on Transformer

open access: yesIEEE Access, 2023
Recurrent neural network models have problems such as memory loss and gradient disappearance when dealing with long time series data. This paper proposes a long-term trajectory prediction model based on Transformer to process long-term sequence ...
Qiang Tong   +4 more
doaj   +1 more source

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