Results 51 to 60 of about 169,850 (334)

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions

open access: yesAdvanced Engineering Materials, EarlyView.
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel   +6 more
wiley   +1 more source

A Proposal of Naturalistic Software Development Method [PDF]

open access: yesJournal of Universal Computer Science
Naturalistic programming purports to include natural language elements in programming languages to increase software expressiveness. Even though natural language is inherently ambiguous, it is richer and thus more expressive than any artificial language.
Lizbeth Alejandra Hernández-González   +3 more
doaj   +3 more sources

USING THE PYTHON PROGRAMMING LANGUAGE IN SIMULATION MODELING

open access: yesChronos, 2022
This article discusses the use of the Python programming language in simulation modeling. Examples of areas where these models are used are given, as well as simple listings of programs used for data analytics and simulation modeling are considered by example. The forecast about the future development of simulation modeling systems is given.
Egor Maksimovich Badika   +2 more
openaire   +1 more source

AutoParallel: A Python module for automatic parallelization and distributed execution of affine loop nests [PDF]

open access: yes, 2018
The last improvements in programming languages, programming models, and frameworks have focused on abstracting the users from many programming issues.
Amela, Ramon   +4 more
core   +1 more source

Automating tasks in protein structure determination with the Clipper Python module [PDF]

open access: yes, 2017
Scripting programming languages provide the fastest means of prototyping complex functionality. Those with a syntax and grammar resembling human language also greatly enhance the maintainability of the produced source code.
Adams   +38 more
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

PyBrook—A Python framework for processing and visualising real-time data

open access: yesSoftwareX
In this paper, we present PyBrook - an original real-time cloud computing framework for the Internet of Things. PyBrook enables users to define complex data processing models declaratively, using the Python programming language.
Michał Rokita   +2 more
doaj   +1 more source

Why do biomedical researchers learn to program? An exploratory investigation

open access: yesJournal of the Medical Library Association, 2020
Objective: As computer programming becomes increasingly important in the biomedical sciences and more libraries offer programming classes, it is crucial for librarians to understand how researchers use programming in their work.
Ariel Deardorff
doaj   +1 more source

Quasar: A Programming Framework for Rapid Prototyping [PDF]

open access: yes, 2016
We present a new programming framework, Quasar, which facilitates GPU programming. Our high-level programming language relieves the developer of all implementation details such that he can focus on the algorithm and the required accuracy.
De Vylder, Jonas, Goossens, Bart
core   +1 more source

In Situ Study of Resistive Switching in a Nitride‐Based Memristive Device

open access: yesAdvanced Functional Materials, EarlyView.
In situ TEM biasing experiment demonstrates the volatile I‐V characteristic of MIM lamella device. In situ STEM‐EELS Ti L2/L3 ratio maps provide direct evidence of the oxygen vacancies migrations under positive/negative electrical bias, which is critical for revealing the RS mechanism for the MIM lamella device.
Di Zhang   +19 more
wiley   +1 more source

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