Results 71 to 80 of about 3,766,810 (246)

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

Annals 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, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

An overview of mobility awareness with mobile edge computing over 6G network: Challenges and future research directions

Results in Engineering
The evolution of science has given rise to many technologies that have changed the world. The upcoming Six-Generation (6G) mobile network indicates a fundamental transformation in wireless technologies, enhancing connectivity and data transmission rates.
Soule Issa Loutfi, Ibraheem Shayea, Ufuk Tureli, Ayman A. El-Saleh, Waheeb Tashan   +4 more
doaj   +1 more source

Optimizing QoE for Virtual Reality Games on Mobile Edge Networks

In this paper, we explore delivering mobile edge Virtual Reality (VR) gaming services with comprehensive and satisfactory Quality of Experience (QoE) across a distributed edge network.
Souihi, Sami,, Fowler, Scott,
core   +1 more source

Edge computing architectures

, 2020
By considering an edge computing platform as one of the main computing tiers in a fully comprehensive cloudisation model, this chapter first discusses the distinguished features of edge computing compared to other platforms from the perspectives of ...
Dinh, Ngoc Thanh, Braun, Torsten, Dao, Nhu Ngoc, Tran, Quang Dieu, Cho, Sungrae   +4 more
core   +1 more source

Evaluation of Dried Plasma Spot‐Based Quantification of Glial Fibrillary Acidic Protein as a Disease‐Associated Biomarker in Neuromyelitis Optica Spectrum Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the diagnostic accuracy of glial fibrillary acidic protein (GFAP) measured in dried plasma spots versus conventional plasma‐ and serum‐GFAP testing for assessment of disease severity in aquaporin‐4 immunoglobulin G–positive neuromyelitis optica spectrum disorder (AQP4‐IgG+ NMOSD).
Felix Wohlrab, Evelyn Alvarez, Roua Hamdi, Bingqing Zhang, Hayeun Ji, Niyati Jhaveri, Patrick Schindler, Pedro Sanchez, Pia S. Sperber, Tanja Schmitz‐Hübsch, Frederike C. Oertel, Nisa Vorasoot, Najib Kissani, Falko Böhringer, Jens Kuhle, Anne‐Katrin Pröbstel, Xiao‐Jun Ma, Péter Körtvelyessy, Patrick Waters, Friedemann Paul   +19 more
wiley   +1 more source

Obesity Subtypes and Longitudinal Trajectories of Function Over Seven Years of Follow‐Up: Data From the Multicenter Osteoarthritis Study

Arthritis Care &Research, EarlyView.
Objective Obesity, defined by body mass index (BMI) ≥30 kg/m2, is a risk factor for functional limitations in people with knee osteoarthritis (OA). However, function varies among such individuals. Our objective was to evaluate the implications of obesity subtypes on longitudinal patterns of physical functioning in people with or at risk for knee OA ...
Kristine Godziuk, Sarah Tilley, Michael LaValley, Michael C. Nevitt, Cora E. Lewis, James C. Torner, Tuhina Neogi, for the Multicenter Osteoarthritis Study Group   +7 more
wiley   +1 more source

Warum Mobile Edge Computing am Feldrand? Eine Einführung in das Projekt INVIA

, 2019
Der Vortrag gibt eine Einführung in das Thema Edge Computing und einen Überblick über die Inhalte des Projekts INVIA. Fraunhofer ESK hat im Rahmen des Projekts eine Simulationsumgebung erstellt, um die Robustheit einer FOG, Edge und Cloud Anwendung ...
Stiller, Michael
core   +1 more source

Cooperative Computing for Mobile Crowdsensing: Design and Optimization

, 2023
With the increasing number of mobile devices, mobile crowdsensing (MCS) has garnered significant attention in research. However, computing infrastructures such as edge/cloud nodes, which are necessary for processing sensor data, are not always readily ...
Xie, X, Bai, T, Wang, Z, Nallanathan, A, Guo, W   +4 more
core   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Research on incentive mechanism for mobile intelligent edge computing

物联网学报, 2019
As a new architecture,mobile edge computing gives edge users stronger capabilities of computing,storage and communication,but it needs reasonable incentives mechanism to motivate edge users to provide resources.In terms of the three typical scenarios of ...
Shuyun LUO, Yuzhou WEN, Weiqiang XU, Shenghong ZHU   +3 more
doaj   +2 more sources