Flow chart of implementation steps. by Morteza Fattahi (15892028)

Number of first, second and third place votes received for each potential combination of theories, models and/or frameworks (TMFs) in the third round of consensus of our case examp... by Alexandra M. B. Korall (13467074)

Subjects:

Selection and function of model parameters. by Ya-Wen Liu (278735)

Subjects:

The suggested pipeline utilizes a probability attention method. by Ailian Gao (20629841)

<b>Implementation of Mabar Media-Assisted Problem-Based Learning Model in Enhancing Mathematical Problem-Solving Ability of Elementary School Students</b> by Torang Siregar (22657157)

“…This finding confirms that the implementation of the PBL model assisted by MABAR Media had a significant effect on student outcomes. …”

Structured sensory-based activities implemented in the SBI group. by Mazlum Uruc (22103675)

Who participates in ‘participatory design’ of WASH infrastructure: a mixed-methods process evaluation by Thea Mink (19964013)

BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories by Elizaveta Mukhaleva (20602550)

“…We believe that BaNDyT is the first software package to include specialized and advanced features for analyzing MD simulation trajectories using a probabilistic graphical network model. We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …”

BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories by Elizaveta Mukhaleva (20602550)

“…We believe that BaNDyT is the first software package to include specialized and advanced features for analyzing MD simulation trajectories using a probabilistic graphical network model. We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …”

BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories by Elizaveta Mukhaleva (20602550)

“…We believe that BaNDyT is the first software package to include specialized and advanced features for analyzing MD simulation trajectories using a probabilistic graphical network model. We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …”

A comparison of <i>E. coli</i> contamination at Traditional Lanna restaurants before and after the model’s implementation. by Vivat Keawdounglek (9710710)

Regression results of the Callaway method. by Pu Miao (12886949)

Overview of the implemented simulation tool and training framework in Diffrax. by Paul van Lent (16876977)

“…The initial conditions are retrieved from the observed dataset (2) and the ODEs are set up based on an imported SBML model, or a self-implemented model (3). After predicting a time-series dataset given the initial guess (4), the mean-centered loss is calculated (5). …”

Comparison of outcomes by distribution model. by Mary K. Tumushime (17313250)

Development and evaluation of tailored, theory-informed training to support the implementation of an outcome measure: an explanatory sequential mixed method study by Rebecca Ataman (20757415)

“…We conducted a mixed-method explanatory sequential evaluation informed by the New World Kirkpatrick Model (reaction, learning, behavioural intent) composed of three surveys followed by interviews. …”

Method comparison [28,29]. by Jinpeng Wen (13137660)

Robustness test results based on variable replacement method. by Peng Hou (262071)

Three methods of generating pseudo-random coordinates for a disordered lattice. by Bryan Verhoef (22139208)

Subjects:

Wrong classification of unknown insects in static setting (prior to implementing open-set learning). by Ahmed Akib Jawad Karim (20427740)

Numbers of nodes and elements, and types of elements for each of the meshed anatomical structures implemented in the <i>ANSYS MAPDL</i> environment. by Maxime Calka (17827476)