Results 51 to 60 of about 885,017 (274)

Machine Learning‐Based Failure Prediction in Concrete Slabs and Cubes Under Impact Loading

Engineering Reports
Experts have been interested in the behavior of concrete under impact loading because of its wide range of applications in construction projects. Due to their quasi‐brittle nature, failure modes related to concrete may occur without any prior warning ...
Mohammad Hematibahar, Ahmed Deifalla, Adham E. Ragab, Gebre Tesfaldet   +3 more
doaj   +1 more source

Source code: automatic C library wrapping - Ctypes from the trenches [PDF]

, 2009
At some point of time many Python developers at least in computational science will face the situation that they want to interface some natively compiled library from Python.
Kloss, Guy K.
core  

Postprandial morphological response of the intestinal epithelium of the Burmese python (Python molurus)

, 2006
The postprandial morphological changes of the intestinal epithelium of Burmese pythons were examined using fasting pythons and at eight time points after feeding.
Aldewachi, Carey, Carey, Cramp, Cécile Helmstetter, Diamond, Diaz, Dunel-Erb, Garcia Hernandez, Gershon, Goodlad, Greene, Hammond, Heyman, Hume, Jean-Hervé Lignot, Johnson, Lignot, McLeese, Noaillac-Depeyre, Noaillac-Depeyre, Piersma, Pope, Rodewald, Secor, Secor, Secor, Secor, Secor, Secor, Secor, Secor, Secor, Sire, Solomon, Starck, Stephen M. Secor, Walker, Walsh, Weaver, Weinman   +40 more
core   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

IMPACT OF COMMERCIAL AND NON-COMMERCIAL FLIGHTS ON ROMANIAN AIRPORT TRANSPORTATION: A DETAILED ANALYSIS OF PERFORMANCE INDICATORS [PDF]

Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie
The airport transportation evolved in a significant manner in the last years, attracting funds for improving existing systems and developing new solutions.
DOMENTEANU ADRIAN , DELCEA CAMELIA, CIBU BIANCA-RALUCA   +2 more
doaj  

Klasifikasi Kualitas Buah Apel Dengan Algoritma K-Nearest Neighbor (K-NN) Menggunakan Bahasa Pemrograman Python

Computer Science
Fruit is an important intake for the human body, apples are included in the fruit favored by the people of Indonesia. For this reason, it is necessary to provide apples of good quality, so that they can benefit the body.
Puji Astuti
doaj   +1 more source

PyXNAT: XNAT in Python

Frontiers in Neuroinformatics, 2012
As neuroimaging databases grow in size and complexity, the time researchers spend investigating and managing the data increases to the expense of data analysis. As a result, investigators rely more and more heavily on scripting using high-level languages
Yannick eSchwartz, Alexis eBarbot, Benjamin eThyreau, Vincent eFrouin, Gael eVaroquaux, Gael eVaroquaux, Aditya eSiram, Daniel eMarcus, Jean-Baptiste ePoline   +8 more
doaj   +1 more source

Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes

FEBS Open Bio, EarlyView.
We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde, Unai Alduntzin, Gorka Prieto, Ugo Mayor   +3 more
wiley   +1 more source

Stock portfolio construction using LSTM neural networks and fractal analysis

Цифровые модели и решения
The article tests the hypothesis that combining the methods of fractal analysis and prediction of stock returns using LSTM neural network in the construction of investment portfolio allows improving its characteristics (the ratio of return and risk ...
Robert V. Garafutdinov, Maksim V. Shevchenko   +1 more
doaj   +1 more source

NL4Py: Agent-Based Modeling in Python with Parallelizable NetLogo Workspaces

, 2018
NL4Py is a NetLogo controller software for Python, for the rapid, parallel execution of NetLogo models. NL4Py provides both headless (no graphical user interface) and GUI NetLogo workspace control through Python. Spurred on by the increasing availability
Garibay, Ivan, Gunaratne, Chathika
core   +1 more source