Results 181 to 190 of about 30,075 (285)

Enumerating Finitary Processes. [PDF]

open access: yesEntropy (Basel)
Johnson BD   +3 more
europepmc   +1 more source

Advances in machine learning applications for thiolate‐protected metal nanoclusters with potential metallic core exploration

open access: yesJournal of Intelligent Medicine, EarlyView.
This review summarizes recent advances in machine learning applications for metal nanoclusters, including synthesis, structural modeling, molecular dynamics, optical properties, and catalysis. Data‐driven strategies enable accelerated discovery and rational design of functional nanomaterials.
Xiwen Mo   +3 more
wiley   +1 more source

Paediatric computed tomography diagnostic reference levels in Africa: A systematic review

open access: yesJournal of Medical Radiation Sciences, Volume 72, Issue 1, Page 139-147, March 2025.
Improvements in computed tomography (CT) technology have increased its applications in medical imaging. Variations in the paediatric DRLs indicate that harmonisation and standardisation of paediatric CT protocols are essential for the optimisation of paediatric doses. Abstract Introduction Improvements in computed tomography (CT) technology in terms of
Emmanuel Gyan   +3 more
wiley   +1 more source

Is stochastic thermodynamics the key to understanding the energy costs of computation? [PDF]

open access: yesProc Natl Acad Sci U S A
Wolpert DH   +18 more
europepmc   +1 more source

Scalable Breast Cancer Simulations - A Stochastic, Hybrid Cellular Automaton Model for Precision Medicine

open access: yes, 2023
Matematisk modellering og simulering er en lovende tilnærming til persontilpasset kreftmedisin. Å sette sammen diskrete celle-baserte modeller med kontinuerlige modeller til en hybrid, cellulær automata (CA) er en kraftfull framgangsmåte for å etterlikne biologisk kompleksitet og beskrive den dynamiske utvekslingen av informasjon over forskjellige ...
openaire   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés   +2 more
wiley   +1 more source

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