Results 131 to 140 of about 66,899 (270)

Designing and Evaluating a Nutrition Recommender System for Improving Food Security in a Developing Country. [PDF]

Arch Iran Med, 2023
Abhari S, Lankarani KB, Azadbakht L, Niakan Kalhori SR, Safdari R, Emamgholipour Sefiddashti S, Garavand A, Barzegari S, Moradi S.   +8 more
europepmc   +1 more source

In‐Depth Profiling Highlights the Effect of Efgartigimod on Peripheral Innate and Adaptive Immune Cells in Myasthenia Gravis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is an autoimmune disorder characterized by antibody‐mediated complement activation. Efgartigimod, a neonatal Fc receptor (FcRn) antagonist, is approved for treating generalized MG (gMG). However, its modulatory effects on upstream innate and adaptive immune cells remain largely unexplored.
Lei Jin, Liu Dong, Ying Wang, Dingxian He, Chong Yan, Jianying Xi, Haoqin Jiang, Yu Shi, Ming Guan, Chongbo Zhao, Jie Song, Sushan Luo   +11 more
wiley   +1 more source

A Movie Recommender System Based on User Profile and Artificial Bee Colony Optimization. [PDF]

Comput Intell Neurosci, 2023
Rajabi Kouchi F, Oftadeh Balani S, Esmaeilpour A, Shafieian M, Sirwan R, Hussein Mohammed A.   +5 more
europepmc   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi, Lara Basovic, Christopher Michael McGraw   +2 more
wiley   +1 more source

Survey on the applications of large language models in recommender systems

大数据
The rise of large language model (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  

E-learning recommender system dataset. [PDF]

Data Brief, 2023
Hafsa M, Wattebled P, Jacques J, Jourdan L.   +3 more
europepmc   +1 more source

Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt, Marius Ygonia, Ali Manouchehrinia, Philippe Lefrançois, Ingrid Kockum, Adil Harroud   +5 more
wiley   +1 more source

KGRec: A knowledge graph attention-based model for recommender system. [PDF]

PLoS One
Hoan TD, Hung BT.
europepmc   +1 more source

A Recommender System for Increasing Energy Efficiency of Solar-Powered Smart Homes. [PDF]

Sensors (Basel), 2023
Meteier Q, El Kamali M, Angelini L, Abou Khaled O.   +3 more
europepmc   +1 more source

Real‐World Performance of CSF Kappa Free Light Chains in the 2024 McDonald Criteria

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Kappa free light chains (KFLCs) in the cerebrospinal fluid (CSF) have a similar performance to CSF‐restricted oligoclonal bands (OCB) for multiple sclerosis (MS) diagnosis. To help with implementation, we set out to resolve several remaining uncertainties: (1) performance in a real‐world cohort and the 2024 McDonald criteria; (2 ...
Maya M. Leibowitz, Ryan Cooper, Stefania Kaninia, Kathryn I. Challis, Will Greenway, Maria Bonello, Mahmoud Elbahnasawi, Deborah T. Shode, Dominika Gajdasik, Victor Iliev, Alison M. E. Whitelegg, Ian Galea   +11 more
wiley   +1 more source