Results 41 to 50 of about 1,274,997 (260)

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

Tackling Heterogeneous Light Detection and Ranging-Camera Alignment Challenges in Dynamic Environments: A Review for Object Detection

Sensors
Object detection is an essential computer vision task that identifies and locates objects within images or videos and is crucial for applications such as autonomous driving, robotics, and augmented reality.
Yujing Wang, Abdul Hadi Abd Rahman, Fadilla ’Atyka Nor Rashid, Mohamad Khairulamirin Md Razali   +3 more
doaj   +1 more source

Discriminative Multiple Kernel Concept Factorization for Data Representation

IEEE Access, 2020
Concept Factorization (CF) improves Nonnegative matrix factorization (NMF), which can be only performed in the original data space, by conducting factorization within proper kernel space where the structure of data become much clear than the original ...
Lin Mu, Haiying Zhang, Liang Du, Jie Gui, Aidan Li, Xi Zhang   +5 more
doaj   +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

Improving generative inverse design of molecular catalysts in small data regime

Machine Learning: Science and Technology
Deep generative models are a powerful tool for exploring the chemical space within inverse-design workflows; however, their effectiveness relies on sufficient training data and effective mechanisms for guiding the model to optimize specific properties ...
François Cornet, Pratham Deshmukh, Bardi Benediktsson, Mikkel N Schmidt, Arghya Bhowmik   +4 more
doaj   +1 more source

A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture

IEEE Access, 2018
Clustering is a fundamental problem in many data-driven application domains, and clustering performance highly depends on the quality of data representation. Hence, linear or non-linear feature transformations have been extensively used to learn a better
Erxue Min, Xifeng Guo, Qiang Liu, Gen Zhang, Jianjing Cui, Jun Long   +5 more
doaj   +1 more source

Radiotherapy Delivery in Deep Inspiration for Pediatric Patients—Final Results of the Phase II Feasibility Study TEDDI

Pediatric Blood &Cancer, EarlyView.
Abstract Introduction The TEDDI trial tested the feasibility and reproducibility of deep‐inspiration breath‐hold (DIBH) in pediatric patients referred for radiotherapy. This report presents final results, including patient‐reported outcomes (PRO) and dosimetric comparison of DIBH and free‐breathing (FB).
Daniella Elisabet Østergaard, Anni Young Lundgaard, Laura Ann Rechner, Danijela Dejanovic, Hanne Krogh Rose, Jolanta Hansen, Leila Vaalavirta, Miia Mokka, Marianne Aznar, Peder Skov Wehner, Lisa Lyngsie Hjalgrim, Maja Vestmø Maraldo   +11 more
wiley   +1 more source

A roadmap for designing a virtual interface to explore a digital twin of the oceans for marine ecosystems monitoring

Ecological Informatics
Many marine monitoring infrastructures continuously collect biological and abiotic data, yet user-friendly interfaces for visualizing and translating this knowledge remain limited.
Morane Clavel-Henry, Sascha Flögel, Daniel M. Toma, Gerard Llorach-Tó, Nixon Bahamon, Giacomo Picardi, Marco Francescangeli, Juliana Quevedo, Nathan J. Robinson, Michele Ferrari, Damianos Chatzievangelou, Antoni Sánchez-Márquez, Paula Espina, Jordi Ribera-Altimir, Luca Mirimin, Seonock Woo, Tim W. Nattkemper, Emanuela Fanelli, Cristina Gambi, Silvia Gallegati, Francesca Marcellini, Pascuale De Luca, Sergio Stefanni, Vignesh G. Menon, Jan-Eike Rossius, Ander M. de Lecea, Corrado Costa, Jacopo Aguzzi   +27 more
doaj   +1 more source

Prolonged Corrected QT Interval as an Early Electrocardiographic Marker of Cyclophosphamide‐Induced Cardiotoxicity in Pediatric Hematology and Oncology Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura, Kentaro Ueno, Takuro Nishikawa, Yoshihiro Takahashi, Koji Nakae, Yasuhiro Okamoto   +5 more
wiley   +1 more source

Metamodels for Hierarchical Topological Data Representation in Intelligent Manufacturing Systems

Applied Sciences
The kernel of intelligent manufacturing is data utilization, where data can be trained to build AI models to generate optimized control parameter values for production processes.
Chunyu Chen, Xinyang Ding, Wang Lin
doaj   +1 more source