Predictors of Loneliness in Parkinson's Disease and Craniocervical Dystonia
Abstract Background Loneliness is a state in which an individual feels socially isolated due to deficiencies in the quantity or quality of social relationships and interaction. To date very little is known about loneliness in Parkinson's disease (PD) and focal/segmental craniocervical dystonia (FSCD).
Suzette Shahmoon+5 more
wiley +1 more source
Spatially aware packet routing for mobile ad hoc inter-vehicle radio networks [PDF]
Jing Tian, Lu Han, Kurt Rothermel
openalex +1 more source
Subjective Well‐Being and Its Predictors in Parkinson's Disease and Dystonia: A Comparative Study
Abstract Background Quality of life (QoL) is a commonly used outcome measure in people with chronic neurological diseases (CND). As valuable as QoL is, it does not take into account aspects of subjective well‐being (SWB) such as subjective happiness, meaning in life, life satisfaction and hope; all constructs that are considered central to well‐being ...
Suzette Shahmoon+5 more
wiley +1 more source
A Multi-User Game-Theoretical Multipath Routing Protocol to Send Video-Warning Messages over Mobile Ad Hoc Networks. [PDF]
Mezher AM+7 more
europepmc +1 more source
Issues in Scalable Clustered Network Architecture for Mobile Ad Hoc Networks [PDF]
Sangman Moh, Chansu Yu, Ben Lee
openalex +1 more source
Cholinergic System Changes in Dopa‐Unresponsive Freezing of Gait in Parkinson's Disease
Abstract Background Freezing of gait (FoG) is a debilitating mobility disturbance that becomes increasingly resistant to dopaminergic pharmacotherapies with advancing Parkinson's disease (PD). The pathophysiology underlying the response of FoG to dopaminergic treatment is poorly understood.
Kelvin L. Chou+6 more
wiley +1 more source
A novel clustering algorithm for mobile ad hoc networks based on determination of virtual links' weight to increase network stability. [PDF]
Karimi A+3 more
europepmc +1 more source
A framework for reliable routing in mobile ad hoc networks
Zhenqiang Ye+2 more
semanticscholar +1 more source
A data‐driven framework that incorporates machine learning models, model‐agnostic interpretation methods, and genetic algorithms was proposed to explore the composition–property relationship and accelerate the design of novel glass materials with good dielectric, thermal, and mechanical properties.
Jincheng Qin+4 more
wiley +1 more source
TCP Friendly Rate Adaptation for Multimedia Streaming in Mobile ad hoc Networks
Zhenghua Fu, Xiaoqiao Meng, Songwu Lu
openalex +1 more source