Generation of Quantum Configurational Ensembles Using Approximate Potentials by João Morado (10345050)

“…The accuracy of these MM-based schemes strongly depends on the functional form of the force field (FF) and its parametrization, components that often hinder their performance. …”

Fig 1 - by Matthew F. Wipperman (2095960)

Summary of Kuramoto DBS Model Parameters. by John E. Fleming (8533956)

“…Through incorporation of both a gradual “forgetting” and periodic covariance functions, the algorithm maintained robust performance when a priori knowledge differed from observed variations. …”

Presentation of the DySCo framework. by Giuseppe de Alteriis (20846230)

“…Interestingly, these include the 3 most employed methods for dFC, i.e., sliding window correlation/covariance, co-fluctuation, approaches based on instantaneous phase. They all involve symmetric matrices. ii) DySCo proposes a unified mathematical formalism and a set of measures and algorithms to compute and analyse dFC matrices. …”

Comparison against the commercial scanner. by Swathi Lakshmi Balasubramanian (12078093)

Daily expression of core clock genes in wild-type and <i>Clk</i>^<i>Δ</i>^<i>29</i> heads under 12:12 LD conditions. by Daniel J. Brady (20622465)

Adult eclosion rhythm is disrupted in <i>Clk</i>^<i>Δ29</i> under DD conditions. by Daniel J. Brady (20622465)

Rhythmic egg hatching is disrupted in <i>Clk</i>^<i>Δ29</i> under DD conditions. by Daniel J. Brady (20622465)

Generalization tree for age and job attributes. by Farough Ashkouti (15374644)

“…This computing model has three-phase of in-memory computations to address the runtime, scalability, and performance of large-scale data anonymization. …”

Spark cluster architecture [19,21]. by Farough Ashkouti (15374644)

“…This computing model has three-phase of in-memory computations to address the runtime, scalability, and performance of large-scale data anonymization. …”

Medical dataset in 3-diversity model. by Farough Ashkouti (15374644)

“…This computing model has three-phase of in-memory computations to address the runtime, scalability, and performance of large-scale data anonymization. …”

A sample medical dataset. by Farough Ashkouti (15374644)

“…This computing model has three-phase of in-memory computations to address the runtime, scalability, and performance of large-scale data anonymization. …”

Medical dataset in 4-anonymous model. by Farough Ashkouti (15374644)

“…This computing model has three-phase of in-memory computations to address the runtime, scalability, and performance of large-scale data anonymization. …”

Spark ecosystem [22]. by Farough Ashkouti (15374644)

“…This computing model has three-phase of in-memory computations to address the runtime, scalability, and performance of large-scale data anonymization. …”

Classifier evaluation criteria on the poker hand. by Farough Ashkouti (15374644)

“…This computing model has three-phase of in-memory computations to address the runtime, scalability, and performance of large-scale data anonymization. …”

S1 Data - by Farough Ashkouti (15374644)

“…This computing model has three-phase of in-memory computations to address the runtime, scalability, and performance of large-scale data anonymization. …”

The “prion-like” domains of PQN-59 exhibit unique biophysical properties <i>in vitro</i> and <i>in vivo</i>. by Colleen Carlston (11740725)

Big Data and Metadata Framework Environment developed by the Big Data Science Center (BDSC) at Shanghai Synchrotron Radiation Facility (SSRF) by Alessandro Sepe (10304915)

Subjects:

my-home-is-my-secret.zip by Anna Brauer (11266881)

“…</p> <p><br></p> <p>The material contains two folders; each contains an implementation of the algorithm, one in Java and one in Python.<br> </p> <p><br></p> <p>The Python script includes a function (example()) demonstrating how the mechanism class ('STT') may be used. …”

RS_LG_Propagation_xz.avi by Bryan Hennelly (3944075)

“…This video show the xz intensity/phase slice as a function of different values of y with Laguerre Gaussian laser spatial mode and algorithm1.…”