Results 81 to 90 of about 658,351 (342)

Link Prediction in Evolving Networks Based on Popularity of Nodes

open access: yesScientific Reports, 2017
Link prediction aims to uncover the underlying relationship behind networks, which could be utilized to predict missing edges or identify the spurious edges.
Tong Wang   +3 more
doaj   +1 more source

Testing the spirit of the information age [PDF]

open access: yes, 2001
Every age has a 'spirit," The Information Age seems to be a more extreme case than most eras, with the constant barrage of messages promising social and individual salvation.
Cox, RJ
core  

Introduction to Quantum Algorithms for Physics and Chemistry [PDF]

open access: yes, 2012
In this introductory review, we focus on applications of quantum computation to problems of interest in physics and chemistry. We describe quantum simulation algorithms that have been developed for electronic-structure problems, thermal-state preparation,
Aaronson   +134 more
core   +2 more sources

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

Development of educational complex on electrical engineering, electronics and microcon-trollers on modeling in TINA software

open access: yesОткрытое образование (Москва), 2018
The study of electrical engineering, electronics and microcontrollers in accordance with federal state educational standards requires from students the practical mastering of experimental methods for the study of electrical circuits and electronic ...
Vladimir A. Alekhin
doaj   +1 more source

Prognostic Implications of Sleep Architecture for Patients Admitted to the Intensive Care Unit With Status Epilepticus

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu   +5 more
wiley   +1 more source

Application of Variational Quantum Eigensolver for Ground State Energies Calculation in Hydrogen and Helium Atomic Sequences

open access: yesSpektra: Jurnal Fisika dan Aplikasinya
Exponential scaling presents a significant challenge in electronic structure calculations performed on classical computers. This paper explores how quantum computer algorithms can accurately represent quantum systems. Variational Quantum Eigensolver (VQE)
Difa Farhani Hakim   +2 more
doaj   +1 more source

Evaluating Interactive Visualization of Multidimensional Data Projection with Feature Transformation

open access: yesMultimodal Technologies and Interaction, 2017
There has been extensive research on dimensionality reduction techniques. While these make it possible to present visually the high-dimensional data in 2D or 3D, it remains a challenge for users to make sense of such projected data. Recently, interactive
Kai Xu   +4 more
doaj   +1 more source

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

open access: yesAnnals 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   +11 more
wiley   +1 more source

Dynamic appliance scheduling and energy management in smart homes using adaptive reinforcement learning techniques

open access: yesScientific Reports
Smart home energy management is complicated because of varying user preferences, expenses, and consumption. These dynamics are difficult for traditional systems to handle, but new developments in reinforcement learning and optimization may be able to ...
Poonam Saroha   +7 more
doaj   +1 more source

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