Results 61 to 70 of about 1,987,659 (307)
Mamba-convolution hybrid network for underwater image enhancement
Underwater imagery frequently exhibits low clarity and is subject to significant color distortion as a result of the inherent conditions of the marine environment and variations in illumination.
Hailan Chen +6 more
doaj +1 more source
Filling gaps of genome scaffolds via probabilistic searching optical maps against assembly graph
Background Optical maps record locations of specific enzyme recognition sites within long genome fragments. This long-distance information enables aligning genome assembly contigs onto optical maps and ordering contigs into scaffolds.
Bin Huang +7 more
doaj +1 more source
Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source
Using dual evolutionary search to construct decision tree based ensemble classifier
A typical ensemble learning process typically uses a forward integration mechanism to construct the ensemble classifier with a large number of base classifiers.
Hao Chen +3 more
doaj +1 more source
Lightweight Feedback Convolution Neural Network for Remote Sensing Images Super-Resolution
There are lots of image data in the field of remote sensing, most of which have low-resolution due to the limited image sensor. The super-resolution method can effectively restore the low-resolution image to the high-resolution image.
Jin Wang +5 more
doaj +1 more source
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 +5 more
wiley +1 more source
Survival Prediction for Non-Small Cell Lung Cancer Based on Multimodal Fusion and Deep Learning
Non-small cell Lung Cancer (NSCLC) is one of the most common types of lung cancer, accounting for approximately 80% to 85% of lung cancer cases, and survival prediction in this cancer is an essential medical task. Traditional survival prediction methods,
Xiaopu Ma +6 more
doaj +1 more source
Improved Density Peaks Clustering Based on Natural Neighbor Expanded Group
Density peaks clustering (DPC) is an advanced clustering technique due to its multiple advantages of efficiently determining cluster centers, fewer arguments, no iterations, no border noise, etc.
Lin Ding, Weihong Xu, Yuantao Chen
doaj +1 more source
Design of accounting information system sales [PDF]
The rapid development of science and technology led to the use of computers increasingly dominant and universal.Today the computer is very helpful in all aspects of human life, especially to facilitate the activity, especially at work.In the computer ...
Firdaus, Dony Waluya
core
Parent‐to‐Child Information Disclosure in Pediatric Oncology
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 +12 more
wiley +1 more source

