Results from different ML algorithms. by Caroline L. Alves (14271413)

Data Sheet 2_Identification and validation of HOXC6 as a diagnostic biomarker for Ewing sarcoma: insights from machine learning algorithms and in vitro experiments.zip by Yonghua Pang (20998022)

“…Additionally, its functional role suggests potential as a therapeutic target.…”

Data Sheet 1_Identification and validation of HOXC6 as a diagnostic biomarker for Ewing sarcoma: insights from machine learning algorithms and in vitro experiments.zip by Yonghua Pang (20998022)

“…Additionally, its functional role suggests potential as a therapeutic target.…”

OCTP: A Tool for On-the-Fly Calculation of Transport Properties of Fluids with the Order‑<i>n</i> Algorithm in LAMMPS by Seyed Hossein Jamali (3917654)

“…OCTP computes the self- and Maxwell–Stefan diffusivities, bulk and shear viscosities, and thermal conductivities of pure fluids and mixtures in a single simulation. OCTP is the first implementation in LAMMPS that uses the Einstein relations combined with the order-<i>n</i> algorithm for the efficient sampling of dynamic variables. …”

Data_Sheet_1_A Fast DFA Algorithm for Multifractal Multiscale Analysis of Physiological Time Series.ZIP by Paolo Castiglioni (4488004)

“…Recent researches extended its use for evaluating multifractality (where α is a function of the multifractal parameter q) at different scales n. …”

ROMK mutations from TOPMed and ClinVar show varying growth defects in yeast in low potassium medium. by Nga H. Nguyen (2075920)

Performance as a function of the number of algorithm executions for the full-sized matrix design. by Jörg Felder (5848541)

“…<p>Performance as a function of the number of algorithm executions for the full-sized matrix design.…”

In each subplot we show in yellow the (vertical) for arm-2 as a function of the number of SNPs corresponding to each -threshold (horizontal, log-scale). by Caroline C. McGrouther (5216153)

The content of the speech. by Li Jiashen (20552690)

“…The algorithm enhances the traditional Stockwell transform (S-transform) by incorporating a low-pass filtering function and introducing two adjustable parameters. …”

Time domain diagram of speech signal. by Li Jiashen (20552690)

“…The algorithm enhances the traditional Stockwell transform (S-transform) by incorporating a low-pass filtering function and introducing two adjustable parameters. …”

Open Binding Pose Metadynamics: An Effective Approach for the Ranking of Protein–Ligand Binding Poses by Dominykas Lukauskis (14143149)

“…OpenBPMD is powered by the OpenMM simulation engine and uses a revised scoring function. The algorithm was validated by testing it on a wide range of targets and showing that it matches or exceeds the performance of the original BPMD. …”

Open Binding Pose Metadynamics: An Effective Approach for the Ranking of Protein–Ligand Binding Poses by Dominykas Lukauskis (14143149)

“…OpenBPMD is powered by the OpenMM simulation engine and uses a revised scoring function. The algorithm was validated by testing it on a wide range of targets and showing that it matches or exceeds the performance of the original BPMD. …”

Open Binding Pose Metadynamics: An Effective Approach for the Ranking of Protein–Ligand Binding Poses by Dominykas Lukauskis (14143149)

“…OpenBPMD is powered by the OpenMM simulation engine and uses a revised scoring function. The algorithm was validated by testing it on a wide range of targets and showing that it matches or exceeds the performance of the original BPMD. …”

The moving process of five UAVs in the second scenario is presented from a top-view perspective of 2D figures and axonometric projection of 3D figures. by Quoc Bao Diep (18452207)

Low-Rank Covariance Function Estimation for Multidimensional Functional Data by Jiayi Wang (294312)

“…The trace-norm regularization in particular can promote low ranks for both covariance operator and marginal structures. Despite the lack of a closed form, under mild assumptions, the proposed estimator can achieve unified theoretical results that hold for any relative magnitudes between the sample size and the number of observations per sample field, and the rate of convergence reveals the phase-transition phenomenon from sparse to dense functional data. …”

Construction of internuclear persistence contours (IPCs). by Yuxi Long (11024307)

An overview of PATH⁺. by Yuxi Long (11024307)

Comparison of computational performance of the RMR solver versus the CMC algorithm, over the 18 experimental motions in our dataset collected at 100 Hz. by Italo Belli (17511583)

The 10 features captured by persistence fingerprint. by Yuxi Long (11024307)

Visualization by PaCMAP [52] shows that persistence fingerprint clusters protein-ligand complexes with similar binding affinity reasonably well, even beyond the training dataset (P... by Yuxi Long (11024307)