Results 61 to 70 of about 42,688,929 (320)

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

open access: yesPediatric 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   +8 more
wiley   +1 more source

Data structures [PDF]

open access: yes, 1989
We discuss data structures and their methods of analysis. In particular, we treat the unweighted and weighted dictionary problem, self-organizing data structures, persistent data structures, the union-find-split problem, priority queues, the nearest ...
Mehlhorn, Kurt, Tsakalidis, A.
core   +1 more source

REWIND: Recovery Write-Ahead System for In-Memory Non-Volatile Data-Structures

open access: yesProceedings of the VLDB Endowment, 2015
Recent non-volatile memory (NVM) technologies, such as PCM, STT-MRAM and ReRAM, can act as both main memory and storage. This has led to research into NVM programming models, where persistent data structures remain in memory and are accessed directly ...
Andreas Chatzistergiou   +2 more
semanticscholar   +1 more source

Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul   +13 more
wiley   +1 more source

Interactive System for Algorithm and Data Structure Visualization [PDF]

open access: yesComputer Science Journal of Moldova, 2022
This work is dedicated to the design, implementation and evaluation of a new algorithm visualization system. The currently available systems and libraries are briefly compared with each other based on the visualizations and functionalities they provide ...
Patrik Perhac, Slavomir Simonak
doaj  

Pediatric Oncology Nursing Competencies in Latin America and the Caribbean: A Scoping Review to Inform Practice, Education, and Research

open access: yesPediatric 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

A novel two‐stage method to detect non‐technical losses in smart grids

open access: yesIET Smart Cities
Numerous strategies have been proposed for the detection and prevention of non‐technical electricity losses due to fraudulent activities. Among these, machine learning algorithms and data‐driven techniques have gained prominence over traditional ...
Sufian A. Badawi   +10 more
doaj   +1 more source

Building ontologies from folksonomies and linked data: Data structures and Algorithms [PDF]

open access: yes, 2012
We present the data structures and algorithms used in the approach for building domain ontologies from folksonomies and linked data. In this approach we extracts domain terms from folksonomies and enrich them with semantic information from the Linked ...
Corcho, Oscar   +4 more
core   +1 more source

Predicting Crystal Structures with Data Mining of Quantum Calculations

open access: yes, 2003
Predicting and characterizing the crystal structure of materials is a key problem in materials research and development. It is typically addressed with highly accurate quantum mechanical computations on a small set of candidate structures, or with ...
A. Zunger   +19 more
core   +1 more source

Unsupervised Feature Selection with Adaptive Structure Learning [PDF]

open access: yes, 2015
The problem of feature selection has raised considerable interests in the past decade. Traditional unsupervised methods select the features which can faithfully preserve the intrinsic structures of data, where the intrinsic structures are estimated using
Alelyani S.   +12 more
core   +1 more source

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