Results 171 to 180 of about 1,209,483 (310)

Corrigendum: Impact of functional MRI data preprocessing pipeline on default-mode network detectability in patients with disorders of consciousness

Frontiers in Neuroinformatics, 2014
Adrian Stefan Andronache, Cristina eRosazza, Davide eSattin, Matilde eLeonardi, Ludovico eD'Incerti, Ludovico eMinati   +5 more
doaj   +1 more source

Melanin Bias in Cerebral fNIRS: A Monte Carlo Study Toward Equitable Optical Brain Sensing. [PDF]

Biosensors (Basel)
Althobaiti M.
europepmc   +1 more source

Mechanistic Insights Into Instability From Single Void Dynamics at the Lithium Metal‐Solid Electrolyte Interface

Advanced Science, EarlyView.
Void morphology at the lithium metal‐solid electrolyte contact governs electrochemical contact stability in all‐solid‐state batteries. This work resolves the competing roles of electrochemical reaction, bulk vacancy diffusion, and distinct surface diffusion pathways in dictating the size and morphology evolution of a single void and its transition to a
Sourim Banerjee, Bairav S. Vishnugopi, Guang Lin, Partha P. Mukherjee   +3 more
wiley   +1 more source

Caliari, Carlo (Carlo Juslo; gen. Carletto)

, 1997
openaire   +2 more sources

Quantifying the Dynamics of Network Detachment Across Scientific, Technological, Commercial, and Pharmacological Domains

Advanced Science, EarlyView.
Across scientific, technological, commercial, and pharmacological domains, individuals and organizations disengage from a previously adopted practice not at random, but as their network neighbors detach. The probability of detachment rises with the number of neighbors who have already disengaged. Preferential detachment reshapes network disintegration,
Binglu Wang, Ching Jin, Chaoming Song, Johannes Bjelland, Brian Uzzi, Dashun Wang   +5 more
wiley   +1 more source

Environmental Cancer Risk Scenarios for Lebanon: Quantitative Sensitivity Analysis and a Qualitative Genetic Susceptibility Framework. [PDF]

Toxics
Tamraz M, Nasr R, Temraz S.
europepmc   +1 more source

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

Advanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo, Yunwen Wu, Yuhui Guo, Shenghong Ju   +3 more
wiley   +1 more source

Quantitative mobile gamma-ray spectrometry through Bayesian inference. [PDF]

Nat Commun
Breitenmoser D, Stabilini A, Kasprzak MM, Mayer S.   +3 more
europepmc   +1 more source

Monte Carlo simulation of testing requirements for chronic wasting disease (CWD) surveillance via hunter-harvest in Illinois, USA. [PDF]

Prion
Mori JJ, Brown WM, Rivera NA, Skinner DJ, Schlichting PE, Novakofski JE, Mateus-Pinilla NE.   +6 more
europepmc   +1 more source

Carlos E Ruiz [PDF]

European Heart Journal, 2018
openaire   +2 more sources