Results 61 to 70 of about 593,934 (269)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior +7 more
wiley +1 more source
Growth and Development of a Malaysian Dipterocarp Forest After Harvest [PDF]
, 1993 The success of the Selective Management System (SMS) in managing" the hill dipterocarp forests of Peninsular Malaysia depends, among others, on the types of trees in the residual stand and the ability of these trees to grow and form the next crop ...
Karkee, Thakur Babu
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel +3 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
Deep feature analysis, classification with AI-driven gastrointestinal diagnostics [PDF]
MATEC Web of ConferencesSeveral AI-based methods have substantially progressed the area of medical image and video-based diagnostics, which encompasses radiography, pathology, endoscopy, and the categorization of gastrointestinal (GI) diseases.
Srividya Janagama, Bommala Harikrishna
doaj +1 more source
Deep Residual Learning for Image Recognition
, 2015 Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously.
He, Kaiming +3 more
core +1 more source
Germline TP53 Mutations Causing Diamond–Blackfan Anemia: A French Report
Pediatric Blood &Cancer, EarlyView.ABSTRACT Diamond–Blackfan anemia is a rare congenital erythroblastopenia typically caused by mutations in ribosomal protein genes. Recently, gain‐of‐function mutations in TP53 have been identified as a novel cause of Diamond–Blackfan anemia. We report two French patients who both harbored a heterozygous TP53 deletion (NM_000546.5: c.1077delA; p ...
Rafael Moisan +6 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song +15 more
wiley +1 more source
ANALYSIS OF LARGE-SCALE SIGNALS USING NOPOSITIONAL CODES RESIDUE CLASSES
Современная наука и инновации, 2022 The purpose of research is to improve the accuracy of performance of the large-scale analysis of signals. Achieving this goal is possible through the use of algebraic systems with the property of the ring and field.
Igor Anatol'evich Kalmykov +3 more
doaj
Remote Sensing, 2014 The origin of large areas dominated by pristine open vegetation that is in sharp contrast with surrounding dense forest within the Amazonian lowland has generally been related to past arid climates, but this is still an issue open for debate.
Édipo Henrique Cremon +2 more
doaj +1 more source