Results 61 to 70 of about 80,617 (218)
Unbiased and efficient log-likelihood estimation with inverse binomial sampling.
PLoS Computational Biology, 2020 The fate of scientific hypotheses often relies on the ability of a computational model to explain the data, quantified in modern statistical approaches by the likelihood function.
Bas van Opheusden +2 more
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Advanced Healthcare Materials, EarlyView.We introduce a new fabrication method that overcomes the current limitation of tubular gap electrospinning. We successfully fabricated a seamless hollow tube with fibers aligned along the longitudinal axis in diameters as small as 300 µm, and then reinforced it using 4‐axis 3D printing.
Seyed Aliakbar Hosseini Toopghara +9 more
wiley +1 more source
SampSizeCal: The platform-independent computational tool for sample sizes in the paradigm of new statistics [PDF]
Network BiologyDependent upon the statistical significance p-value and statistical power, the sample size estimation is widely used in various experimental sciences.
WenJun Zhang
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Quantum speedup for nonreversible Markov chains
Nature CommunicationsQuantum algorithms can potentially solve a handful of problems more efficiently than their classical counterparts. In that context, it has been discussed that Markov chains problems could be solved significantly faster using quantum computing.
Baptiste Claudon +2 more
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Advanced Healthcare Materials, EarlyView.Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Inquiry Learning Model Assisted by Educational Games on Students’ Computational Thinking Skills
Indonesian Journal of InstructionComputational thinking is a key 21st century skill that plays an important role in helping students solve problems logically, systematically, and in a structured manner.
Ni Luh Nyoman Anggareni Julianti +2 more
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Parallelized Adaptive Importance Sampling for Solving Inverse Problems
Frontiers in Earth Science, 2018 In the field of groundwater hydrology and more generally geophysics, solving inverse problems in a complex, geologically realistic, and discrete model space often requires the usage of Monte Carlo methods.
Christoph Jäggli +2 more
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Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells
Advanced Materials, EarlyView.This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno +16 more
wiley +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
R - evolution in Time Series Analysis Software Applied on R - omanian Capital Market [PDF]
Computational Methods in Social Sciences, 2014 Worldwide and during the last decade, R has developed in a balanced way and nowadays it represents the most powerful tool for computational statistics, data science and visualization.
Ciprian ALEXANDRU +2 more
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