Search alternatives:
programed » programmed (Expand Search), programmes (Expand Search), program (Expand Search)
programm » programme (Expand Search), program (Expand Search), programa (Expand Search)
programs » program (Expand Search)
programed » programmed (Expand Search), programmes (Expand Search), program (Expand Search)
programm » programme (Expand Search), program (Expand Search), programa (Expand Search)
programs » program (Expand Search)
-
61
-
62
DataSheet_2_FindTargetsWEB: A User-Friendly Tool for Identification of Potential Therapeutic Targets in Metabolic Networks of Bacteria.zip
Published 2019“…The web application was developed in Python using COBRApy and Django.</p><p>Results: The proposed method was demonstrated to be robust enough to process even non-curated, incomplete, or imprecise metabolic networks, in addition to integrated host-pathogen models. …”
-
63
Table_1_FindTargetsWEB: A User-Friendly Tool for Identification of Potential Therapeutic Targets in Metabolic Networks of Bacteria.xlsx
Published 2019“…The web application was developed in Python using COBRApy and Django.</p><p>Results: The proposed method was demonstrated to be robust enough to process even non-curated, incomplete, or imprecise metabolic networks, in addition to integrated host-pathogen models. …”
-
64
DataSheet_1_FindTargetsWEB: A User-Friendly Tool for Identification of Potential Therapeutic Targets in Metabolic Networks of Bacteria.xlsx
Published 2019“…The web application was developed in Python using COBRApy and Django.</p><p>Results: The proposed method was demonstrated to be robust enough to process even non-curated, incomplete, or imprecise metabolic networks, in addition to integrated host-pathogen models. …”
-
65
-
66
-
67
PyRTFuzz: Detecting Bugs in Python Runtimes via Two-Level Collaborative Fuzzing
Published 2023“…<a href="https://github.com/awen-li/PyRTFuzz#pyrtfuzz" target="_blank">PyRTFuzz</a><p dir="ltr">Detecting Bugs in Python Runtimes via Two-Level Collaborative Fuzzing</p><p dir="ltr">Useable docker image for PyRTFuzz: <code>docker pull daybreak2019/pyrtfuzz:v1.0 </code>Use the <code>. build.sh</code> to build the whole program.…”
-
68
-
69
-
70
Table 1_Entropy-adaptive differential privacy federated learning for student performance prediction and privacy protection: a case study in Python programming.docx
Published 2025“…Based on online test records from Python programming courses for Electronic Engineering students (grade 2021–2023) at the School of Physics and Optoelectronic Technology, Baoji University of Arts and Sciences, China, the study uses a Multilayer Perceptron (MLP) model and 10 distributed clients for training. …”
-
71
-
72
-
73
Representative schematic of the geometric configuration used for a 120 electrode MEA.
Published 2022Subjects: -
74
-
75
-
76
-
77
-
78
Dataflow programming for the analysis of molecular dynamics with AViS, an analysis and visualization software application
Published 2020“…By utilizing the dataflow programming (DFP) paradigm, algorithms can be defined by execution graphs, and arbitrary data can be transferred between nodes using visual connectors. …”
-
79
-
80
ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space
Published 2020“…In order to establish the workability of our program package, we selectively choose six realistic molecular species, namely, NO<sub>2</sub> radical, H<sub>3</sub><sup>+</sup>, F + H<sub>2</sub>, NO<sub>3</sub> radical, C<sub>6</sub>H<sub>6</sub><sup>+</sup> radical cation, and 1,3,5-C<sub>6</sub>H<sub>3</sub>F<sub>3</sub><sup>+</sup> radical cation, where two, three, five and six electronic states exhibit profound nonadiabatic interactions and are employed to compute diabatic PESs by using <i>ab initio</i> calculated adiabatic PESs and NACTs. …”