Results 51 to 60 of about 8,566,469 (316)
High frequency online data collection in an annual household panel study: some evidence on bias prevention and bias adjustment. [PDF]
Understanding Society is the UK’s largest household panel survey. From April 2020, Understanding Society participants were invited to partake in a series of web surveys (the Understanding Society COVID-19 Study) designed to capture higher frequency ...
Jackle, Annette +8 more
core
High-content image-based screening is widely used in Drug Discovery and Systems Biology. However, sample preparation artefacts may significantly deteriorate the quality of image-based screening assays.
Vaibhav Sharma, Artur Yakimovich
doaj +1 more source
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters +17 more
wiley +1 more source
Nowadays, most end-to-end task-oriented dialog systems are based on sequence-to-sequence (Seq2seq), which is an encoder-decoder framework. These systems sometimes produce grammatically correct, but logically incorrect responses.
Junqing He +4 more
doaj +1 more source
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi +5 more
wiley +1 more source
Coarse-to-Fine Adaptive People Detection for Video Sequences by Maximizing Mutual Information †
Applying people detectors to unseen data is challenging since patterns distributions, such as viewpoints, motion, poses, backgrounds, occlusions and people sizes, may significantly differ from the ones of the training dataset. In this paper, we propose a
Álvaro García-Martín +2 more
doaj +1 more source
Deep Depthwise Separable Convolutional Network for Change Detection in Optical Aerial Images
In this article, a remote sensing image change detection method based on depthwise separable convolution with U-Net is proposed, which omits the tedious steps of generating and analyzing the difference map in the traditional remote sensing image change ...
Ruochen Liu +3 more
doaj +1 more source
ABSTRACT Introduction Bloodstream infections due to repeated vascular access (VA) puncture and circuit connections remain major concerns in hemodialysis. Therefore, we examined current practices for glove, disinfectant, and personal protective equipment (PPE) use according to VA type in national university hospitals in Japan.
Aiko Yamada +6 more
wiley +1 more source
A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
wiley +1 more source

