Results 41 to 50 of about 7,179,186 (303)

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine   +17 more
wiley   +1 more source

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz   +12 more
wiley   +1 more source

Pixel Self-Attention Guided Real-Time Instance Segmentation for Group Raised Pigs

open access: yesAnimals, 2023
Instance segmentation is crucial to modern agriculture and the management of pig farms. In practical farming environments, challenges arise due to the mutual adhesion, occlusion, and dynamic changes in body posture among pigs, making accurate ...
Zongwei Jia   +5 more
doaj   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani   +7 more
wiley   +1 more source

Macaron Attention: The Local Squeezing Global Attention Mechanism in Tracking Tasks

open access: yesRemote Sensing
The Unmanned Aerial Vehicle (UAV) tracking tasks find extensive utility across various applications. However, current Transformer-based trackers are generally tailored for diverse scenarios and lack specific designs for UAV applications. Moreover, due to
Zhixing Wang   +6 more
doaj   +1 more source

Intelligent Virtual Security System using Attention Mechanism

open access: yesEAI Endorsed Transactions on Scalable Information Systems, 2018
Within the past few years, organizational security has emerged as a critical challenge for industries, security agencies, academic institutions and organizations.
Wasim Ahmad Khan   +6 more
doaj   +1 more source

RoBERTa-CoA: RoBERTa-Based Effective Finetuning Method Using Co-Attention

open access: yesIEEE Access, 2023
In the field of natural language processing, artificial intelligence (AI) technology has been utilized to solve various problems, such as text classification, similarity measurement, chatbots, machine translation, and machine reading comprehension ...
Jeong-Hoon Kim   +5 more
doaj   +1 more source

Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin   +17 more
wiley   +1 more source

An illustration of the attention mechanism.

open access: yes, 2022
An illustration of the attention mechanism.
Jawad-ur-Rehman Chughtai (14203336)   +2 more
core   +1 more source

Semi-Dual Attention: A Structure-Preserving Attention Mechanism Derived from Semi-Dual Optimization Theory

open access: yesITEGAM-JETIA
Since the introduction of the Transformer architecture, attention mechanisms have become a core component of sequence modeling and large-scale pre-trained models. However, almost all existing mainstream attention methods are based on a "primal" modeling
Jincheng Zhang   +3 more
doaj   +1 more source

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