Results 61 to 70 of about 1,248,050 (270)

User centred evaluation of a recommendation based image browsing system [PDF]

open access: yes, 2009
In this paper, we introduce a novel approach to recommend images by mining user interactions based on implicit feedback of user browsing. The underlying hypothesis is that the interaction implicitly indicates the interests of the users for meeting ...
Hopfgartner, F.   +2 more
core  

Feasibility and Preliminary Efficacy of Integrative Neuromuscular Training for Childhood Cancer Survivors: A Pilot Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of childhood acute lymphoblastic leukemia (ALL) often exhibit early deficits in muscle and movement competence, which can compromise long‐term health. Integrative neuromuscular training (INT), a multifaceted approach combining fundamental movement activities with strength exercises, may help address these deficits during ...
Anna Maria Markarian   +7 more
wiley   +1 more source

IMETA-GNN: Meta Learning-Based Cold Start Optimization for Recommendation System

open access: yesIEEE Access
Recommendation systems are becoming essential components of contemporary online goods and services, and they significantly affect customer satisfaction.
Nida Siddique   +7 more
doaj   +1 more source

An intelligent recommendation system framework for student relationship management [PDF]

open access: yes, 2010
In order to enhance student satisfaction, many services have been provided in order to meet student needs. A recommendation system is a significant service which can be used to assist students in several ways.
Borirug, S.   +3 more
core   +1 more source

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi   +5 more
wiley   +1 more source

Fine-Tuned Transformer Models for Keyword Extraction in Skincare Recommendation Systems

open access: yesJournal of Applied Informatics and Computing
The skincare industry in Indonesia is experiencing rapid growth, with projected revenues reaching nearly 40 billion rupiah by 2024 and expected to continue to increase.
Ni Putu Adnya Puspita Dewi   +2 more
doaj   +1 more source

The newfound relationship between extrachromosomal DNAs and excised signal circles

open access: yesFEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +1 more source

On the Identification of Several Key Issues on OER Discovery for Smart Learning Environments

open access: yesProceedings, 2019
The best Open Educational Resources (OER) for each final user can be hard to find. OER come from lots of sources, in many different formats, conforming to a diverse logical structure and each user may present different objectives depending on their role ...
Pablo Molins-Ruano   +2 more
doaj   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

open access: yesFEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva   +5 more
wiley   +1 more source

Cyclic Training of Dual Deep Neural Networks for Discovering User and Item Latent Traits in Recommendation Systems

open access: yesIEEE Access
Recommendation systems face the complex challenge of modeling high-dimensional interactions between users and items to deliver personalized recommendations.
Dohyoung Rim   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy