Results 191 to 200 of about 3,201,051 (237)

Peripheral Neutrophil Activation and Extracellular Trap Formation in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Markers of neutrophil activation are increased in plasma during ALS, and markers of NET formation associate with ALS survival. ABSTRACT Objectives Peripheral neutrophil levels in amyotrophic lateral sclerosis (ALS) inversely correlate with survival, suggesting a role for neutrophils in disease progression.
Lillia A. Baird   +9 more
wiley   +1 more source

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit   +11 more
wiley   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang   +4 more
wiley   +1 more source

Subclinical Optic Nerve Involvement in Radiologically Isolated Syndrome: Multimodal Detection and Diagnostic Impact

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay   +13 more
wiley   +1 more source

Enhancing location services with prediction

Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly, 2009
Position-based routing is often proposed as a means to achieve scalability in large mobile ad hoc networks. However, such routing protocols are heavily dependent on the existence of scalable location management services. In recent years, many location service protocols have been proposed for ad hoc networks such as the Grid Location Service (GLS), and ...
Ebtisam Amar, Selma Boumerdassi
openaire   +2 more sources

Federated Meta-Location Learning for Fine-Grained Location Prediction

open access: yes2021 IEEE International Conference on Big Data (Big Data), 2021
Fine-grained location prediction on smart phones can be used to improve app/system performance. Application scenarios include video quality adaptation as a function of the 5G network quality at predicted user locations, and augmented reality apps that ...
Xiaopeng Jiang   +8 more
openaire   +3 more sources

Location Prediction

ACM Transactions on Interactive Intelligent Systems (ACM TiiS), 2016
In social networks, predicting a user’s location mainly depends on those of his/her friends, where the key lies in how to select his/her most influential friends. In this article, we analyze the theoretically maximal accuracy of location prediction based on friends’ locations and compare it with the practical accuracy obtained by the state-
Yantao Jia   +3 more
openaire   +3 more sources

A predictive location model for location-based services

Proceedings of the 11th ACM international symposium on Advances in geographic information systems, 2003
Location-Based Services (LBSs) utilize information about users' locations through location-aware mobile devices to provide services, such as nearest features of interest, they request. This is a common strategy in LBSs and although it is needed and benefits the users, there are additional benefits when future locations (e.g., locations at later times ...
Hassan A. Karimi, Xiong Liu 0001
openaire   +2 more sources

Fusing Location Data for Depression Prediction

IEEE Transactions on Big Data, 2017
Recent studies have demonstrated that geographic location features collected using smartphones can be a powerful predictor for depression. While location information can be conveniently gathered by GPS, typical datasets suffer from significant periods of missing data due to various factors (e.g., phone power dynamics, limitations of GPS).
Chaoqun Yue   +9 more
openaire   +3 more sources

Context-Aware Location Prediction

2016
Predicting the future location of mobile objects has become an important and challenging problem. With the widespread use of mobile devices, applications of location prediction include location-based services, resource allocation, handoff management in cellular networks, animal migration research, and weather forecasting. Most current techniques try to
Roni Bar-David, Mark Last
openaire   +1 more source

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