Results 251 to 260 of about 12,206,178 (323)

Interpreting Abdominal Surgical-Site Infection Trends Across the COVID-19 Shock: A Critical Narrative Review and the SSI Signal-Validity Framework. [PDF]

Life (Basel)
Trasca ET, Radulescu D, Ciupeanu-Calugaru ED, Mercut R, Baleanu VD, Caluianu EI, Vieru AM, Radulescu PM.   +7 more
europepmc   +1 more source

Cluster Target Tracking Based on Multi-Sensor Adaptive GLMB Filter. [PDF]

Sensors (Basel)
Zhang Z, Wei D, Xue X.
europepmc   +1 more source

Some inverse problems in particle physics. [PDF]

Eur Phys J Spec Top
Del Debbio L.
europepmc   +1 more source

Quantum-like architecture of the social atom: mental marker coherence and the triple-resonance mechanism of cognitive activation. [PDF]

Front Hum Neurosci
Khrennikov A, Aspalter C, Zhan L.
europepmc   +1 more source

Epidural anesthesia not associated with decreased 30-day surgical site infection occurrence after open colorectal surgery. [PDF]

Antimicrob Steward Healthc Epidemiol
Smith M, Prestwood J, Highland K, Nealeigh M, Lindsay T, Knuf K.   +5 more
europepmc   +1 more source

Structural transition in antimicrobial resistance dynamics of <i>Corynebacterium striatum</i>. [PDF]

Infect Dis Model
Lorencz A, Sajerli B, Burián K, Orosz L.   +3 more
europepmc   +1 more source

Automated model selection in population pharmacokinetics using metaheuristic algorithms

Huang Z, Fidler M, Standing JF, Kloprogge F.   +3 more
europepmc   +1 more source

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Probability Space

Foundations of Constructive Probability Theory, 2020
R. Schinazi
semanticscholar   +3 more sources

Probability space of wave functions.

Physical Review A, 1987
It is well known that in quantum mechanics, when the mean value of an observable is given, entropy maximization can be successfully applied for constructing a probability distribution on the set of possible values of that observable. In this paper, the entropy maximization technique is extended to the complex domain in order to construct an unbiased ...
S. Guiasu
semanticscholar   +4 more sources

Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation

Computer Vision and Pattern Recognition, 2020
Recently, deep neural networks are introduced as supervised discriminative models for the learning of 3D point cloud segmentation. Most previous supervised methods require a large number of training data with human annotation part labels to guide the ...
Lingjing Wang, Xiang Li, Yi Fang
semanticscholar   +1 more source