Results 61 to 70 of about 1,997,899 (287)

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson, Ingrid Winship, Gary Hammerschlag, Laura Scardamaglia   +3 more
wiley   +1 more source

SNNRice6mA: A Deep Learning Method for Predicting DNA N6-Methyladenine Sites in Rice Genome

Frontiers in Genetics, 2019
DNA N6-methyladenine (6mA) is an important epigenetic modification, which is involved in many biology regulation processes. An accurate and reliable method for 6mA identification can help us gain a better insight into the regulatory mechanism of the ...
Haitao Yu, Zhiming Dai, Zhiming Dai
doaj   +1 more source

Improved Density Peaks Clustering Based on Natural Neighbor Expanded Group

Complexity, 2020
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

Using dual evolutionary search to construct decision tree based ensemble classifier

Complex & Intelligent Systems, 2022
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, Guoxin Zhang, Xiaoying Pan, Rong Jia   +3 more
doaj   +1 more source

Lightweight Feedback Convolution Neural Network for Remote Sensing Images Super-Resolution

IEEE Access, 2021
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, Yiming Wu, Liu Wang, Lei Wang, Osama Alfarraj, Amr Tolba   +5 more
doaj   +1 more source

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski, Rebecca Ronsley, Shannon M. Stasi, Jeffrey Stevens, Erin R. Rudzinski, Christina M. Lockwood, Sarah E. S. Leary, Bonnie L. Cole, Michelle A. Ting, Vera Paulson   +9 more
wiley   +1 more source

Capturing Global Structural Features and Global Temporal Dependencies in Dynamic Social Networks Using Graph Convolutional Networks for Enhanced Analysis

Journal of Social Computing
Modeling and analysis of complex social networks is an important topic in social computing. Graph convolutional networks (GCNs) are widely used for learning social network embeddings and social network analysis.
Ling Wu, Boen Li, Kun Guo, Qishan Zhang
doaj   +1 more source

Implementing a One Address CPU in Logisim [PDF]

, 2016
Most computer users have an incorrect, but useful, cognitive metaphor for computers in which the user says (or types or clicks) something and a mystical, almost intelligent or magical, behavior happens.
Kann, Charles W
core   +1 more source

Preferences of Pediatric Patients and Their Caregivers for Chemotherapy‐Induced Nausea and Vomiting Control Endpoints: A Mixed Methods Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman, Tadi Hondonga, Alison Berry, Caitlin Elgarten, Jason Freedman, Katelyn Oranges, Sara McDonough, Caroline Diorio, L. Lee Dupuis   +8 more
wiley   +1 more source

Spatial-Temporal Semantic Feature Interaction Network for Semantic Change Detection in Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Semantic Change Detection (SCD) in Remote Sensing Images (RSI) aims to identify changes in the type of Land Cover/Land Use (LCLU). The “from-to” information of the acquired image has more profound practical significance than Binary Change ...
Yuhang Zhang, Wuxia Zhang, Songtao Ding, Siyuan Wu, Xiaoqiang Lu   +4 more
doaj   +1 more source