Results 151 to 160 of about 85,662 (301)
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst +4 more
wiley +1 more source
A Recommender System for Increasing Energy Efficiency of Solar-Powered Smart Homes. [PDF]
Meteier Q +3 more
europepmc +1 more source
Recommender Systems for Sustainability and Social Good [PDF]
Boratto, Ludovico +3 more
openalex +1 more source
This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha +4 more
wiley +1 more source
A Hybrid Recommender System Based on Autoencoder and Latent Feature Analysis. [PDF]
Guo S +5 more
europepmc +1 more source
FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System [PDF]
Yi Hu, Ziyu Lyu, Lu Bai, Lixin Cui
openalex +1 more source
Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham +7 more
wiley +1 more source
Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon +12 more
wiley +1 more source
A survey on the applications of large language models in recommender systems
The rise of large language models (LLM) has brought new opportunities to recommender systems. However, existing research mainly focuses on the technical frameworks and engineering implementations of LLM-based recommender systems, lacking a systematic ...
XU Xiaoying, LIAO Wenjie, WANG Hanlin
doaj
A Customized Deep Sleep Recommender System Using Hybrid Deep Learning. [PDF]
Park JH, Lee JD.
europepmc +1 more source

