Results 41 to 50 of about 3,645,721 (283)

Exploring Preferences for a Digital Single‐Session Intervention for Adolescent Siblings of Youth With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro   +10 more
wiley   +1 more source

Fuzzy Clustering with Uninorm-Based Distance Measure

open access: yesMathematics
In this paper, we suggest an algorithm of fuzzy clustering with a uninorm-based distance measure. The algorithm follows a general scheme of fuzzy c-means (FCM) clustering, but in contrast to the existing algorithm, it implements logical distance between ...
Evgeny Kagan   +2 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Clustering Methods Using Distance-Based Similarity Measures of Single-Valued Neutrosophic Sets

open access: yesJournal of Intelligent Systems, 2014
Clustering plays an important role in data mining, pattern recognition, and machine learning. Single-valued neutrosophic sets (SVNSs) are useful means to describe and handle indeterminate and inconsistent information that fuzzy sets and intuitionistic ...
Ye Jun
doaj   +1 more source

The Extension of TOPSIS Method for Multi-Attribute Decision-Making With q-Rung Orthopair Hesitant Fuzzy Sets

open access: yesIEEE Access, 2020
As a combination of q-rung orthopair fuzzy sets (q-ROFSs) and hesitant fuzzy sets (HFSs), q-rung orthopair hesitant fuzzy sets (q-ROHFSs) are more effective, powerful, and meaningful in solving the complexity, ambiguity, and expert hesitancy of ...
Yuhui Wang, Zhifeng Shan, Lin Huang
doaj   +1 more source

DISTANCE MEASURES IN AGGREGATING PREFERENCE DATA [PDF]

open access: yes, 2014
The aim of this paper is to present aggregation methods of individual preferences scores by means of distance measures. Three groups of distance measures are discussed: measures  which use preference distributions for all pairs of objects (e.g.
Zaborski, Artur
core   +1 more source

Linking a distance measure of entanglement to its convex roof

open access: yes, 2010
An important problem in quantum information theory is the quantification of entanglement in multipartite mixed quantum states. In this work, a connection between the geometric measure of entanglement and a distance measure of entanglement is established.
Alexander Streltsov   +9 more
core   +1 more source

Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy   +5 more
wiley   +1 more source

Extension of Interval-Valued Fermatean Fuzzy TOPSIS for Evaluating and Benchmarking COVID-19 Vaccines

open access: yesMathematics, 2022
In order to help curb the spread of the COVID-19 pandemic, this paper develops a multi-attribute decision-making framework for COVID-19 vaccine evaluation based on their major clinical characteristics and efficacy. Firstly, a new multi-criteria Technique
Galina Ilieva, Tania Yankova
doaj   +1 more source

Alveolar Soft Part Sarcoma in Pediatric and Young Adult Patients: A Report From the Children's Oncology Group Study ARST0332

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Alveolar soft part sarcoma (ASPS) is a rare soft tissue sarcoma occurring most commonly in adolescence and young adulthood. Methods We present the clinical characteristics, treatments, and outcomes of patients with newly diagnosed ASPS enrolled on the Children's Oncology Group study ARST0332.
Jacquelyn N. Crane   +11 more
wiley   +1 more source

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