Results 51 to 60 of about 4,988,933 (261)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan +1 more
wiley +1 more source
DataThis study focuses on the analysis of the spectral response of all-pass micro-ring resonators (MRRs), which are essential in photonic device applications such as telecommunications, sensing, and optical frequency comb generation.
Sebastian Valencia-Garzon +6 more
doaj +1 more source
A Survey on Deep-Learning-Based Real-Time SAR Ship Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Recently, deep learning has greatly promoted the development of synthetic aperture radar (SAR) ship detection. But the detectors are usually heavy and computation intensive, which hinder the usage on the edge.
Jianwei Li +5 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei +17 more
wiley +1 more source
Diving Deep With BotLab-DS1: A Novel Ground Truth-Empowered Botnet Dataset
IEEE AccessCyberspace faces unparalleled threats due to the rapid rise in botnet attacks and their profound repercussions. Utilizing AI-assisted systems emerges as a potent solution for detecting and neutralizing such attacks.
Muhammad Qasim +5 more
doaj +1 more source
WorldView-3 Super-resolution Training Dataset Construction Using the MTF-GLP Method [PDF]
Geo DataThe demand for high-resolution satellite imagery is rapidly increasing in various fields such as national defense, disaster response, and environmental monitoring, drawing significant attention to super-resolution (SR) techniques in remote sensing.
Nayeon Kim +5 more
doaj +1 more source
Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas
Pediatric Blood &Cancer, EarlyView.ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall +2 more
wiley +1 more source
Dataset for Research on Lexical Borrowings in French [PDF]
, 2010 Dataset of lexical borrowings obtained from a corpus of newspaper French (Le Monde; Abeille et al. 2003) as described in "Lexical Borrowings in French: Anglicisms as a separate phenomenon" and "Predicting new words from newer words: Lexical borrowings in
Chesley, Paula, Baayen, R. Harald
core
Curated Polyoxometalate Formula Dataset
DataReticular and cluster materials often feature complex formulas, making a comprehensive overview challenging due to the need to consult various resources. While datasets have been collected for metal-organic frameworks (MOFs), covalent organic frameworks (
Aleksandar Kondinski +2 more
doaj +1 more source
The Role of “Adult‐Onset” Cancer Predisposition Genes in Pediatric Cancer: A Comprehensive Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Current literature estimates that 10% of pediatric cancers are caused by pathogenic or likely pathogenic (P/LP) germline variants in cancer predisposition genes (CPGs). Variants in CPGs thought to increase cancer risk exclusively during adulthood are referred to as “adult‐onset” CPGs (aoCPGs).
Maria Rozo +5 more
wiley +1 more source