Results 31 to 40 of about 366 (206)
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
Applications of a strategy for designing divide-and-conquer algorithms
A strategy for designing divide-and-conquer algorithms that was originally presented in a previous article is extended and applied to several new problems. The extension involves techniques for modifying the original specification based on specific kinds of failures that can occur during the design process.
openaire +2 more sources
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
A Novel Ensemble Method of Divide-and-Conquer Markov Boundary Discovery for Causal Feature Selection
The discovery of Markov boundaries is highly effective at identifying features that are causally related to the target variable, providing strong interpretability and robustness.
Hao Li +3 more
doaj +1 more source
Network traffic classification aims to identify categories of traffic or applications of network packets or flows. It is an area that continues to gain attention by researchers due to the necessity of understanding the composition of network traffics ...
Zuleika Nascimento, Djamel Sadok
doaj +1 more source
Divide and conquer! Data-mining tools and sequential multivariate analysis to search for diagnostic morphological characters within a plant polyploid complex (Veronica subsect. Pentasepalae, Plantaginaceae). [PDF]
This study exhaustively explores leaf features seeking diagnostic characters to aid the classification (assigning cases to groups, i.e. populations to taxa) in a polyploid plant-species complex.
Noemí López-González +3 more
doaj +1 more source
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Dual Attention XYDeblur: Attention-Guided Divide-and-Conquer Strategy for Image Deblurring
Image deblurring is a fundamental yet challenging task in computer vision, aiming to restore sharp details from blurred inputs. Recent deep neural network (DNN)-based approaches have shown significant advancements, but key limitations remain.
Ji Soo Shin, Ho Sub Lee
doaj +1 more source
A Symbolic Algorithm for Solving Doubly Bordered k-Tridiagonal Interval Linear Systems
Doubly bordered k-tridiagonal interval linear systems play a crucial role in various mathematical and engineering applications where uncertainty is inherent in the system’s parameters. In this paper, we propose a novel symbolic algorithm for solving such
Sivakumar Thirupathi +1 more
doaj +1 more source
Organoids in pediatric cancer research
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source

