Schematic example of multiscale modelling implementation. حسب Robyn M. Stuart (3754000)

Application of the smooth-index to bandwidth-limited matrices (A,B) and to block-diagonal matrices (C,D). حسب Alexander Borst (32619)

Image_4_The Benefit of Slice Timing Correction in Common fMRI Preprocessing Pipelines.TIF حسب David B. Parker (1890751)

Image_2_The Benefit of Slice Timing Correction in Common fMRI Preprocessing Pipelines.TIF حسب David B. Parker (1890751)

Image_3_The Benefit of Slice Timing Correction in Common fMRI Preprocessing Pipelines.TIF حسب David B. Parker (1890751)

Table_1_The Benefit of Slice Timing Correction in Common fMRI Preprocessing Pipelines.DOCX حسب David B. Parker (1890751)

Image_1_The Benefit of Slice Timing Correction in Common fMRI Preprocessing Pipelines.TIF حسب David B. Parker (1890751)

Epidemics on an activity driven network. حسب Samuel Cure (22250922)

Schematic of the inflation of distances with diffraction limited spot measurements. حسب Peter A. Embacher (14305364)

Epidemics on networks. حسب Samuel Cure (22250922)

Cancellation of Spectral and Spatial Crosstalk in Spectral Imaging for High-Dynamic-Range Electrophoretic Analysis of STR-PCR Products حسب Takashi Anazawa (1540777)

"…The algorithm is based on the assumption that a crosstalk matrix (i.e., point-spread functions, PSFs) consisting of all crosstalk ratios is constant regardless of the causes of both kinds of crosstalk. …"

Superposition of Substrate Deformation Fields Induced by Molecular Clutches Explains Cell Spatial Sensing of Ligands حسب Ruihao Xue (19287874)

"…In this study, we have developed a lattice-spring motor-clutch model by integrating cell membrane deformation, the talin unfolding mechanism, and the lattice spring for substrate ligand distribution to explore how the spatial distribution of integrin ligands and substrate stiffness influence cell spreading and adhesion dynamics. By applying the Gillespie algorithm, we found that large ligand spacing reduces the superposition effect of the substrate’s displacement fields generated by pulling force from motor-clutch units, increasing the effective stiffness probed by the force-sensitive receptors; this finding explains a series of previous experiments. …"

Rate distortion trade-off in forgetting over time. حسب David G. Nagy (9525462)

DataSheet_1_Deciphering Obesity-Related Gene Clusters Unearths SOCS3 Immune Infiltrates and 5mC/m6A Modifiers in Ossification of Ligamentum Flavum Pathogenesis.docx حسب Baoliang Zhang (1500805)

"…The immune infiltration landscape in OLF was depicted, and correlation analysis between core gene SOCS3 and OLF-related infiltrating immune cells (OIICs) as well as 5mC/m6A modifiers in OLF was constructed.</p>Results<p>Ninety-nine ORDEGs were preliminarily identified, and functional annotations showed these genes were mainly involved in metabolism, inflammation, and immune-related biological functions and pathways. …"

PyPEFAn Integrated Framework for Data-Driven Protein Engineering حسب Niklas E. Siedhoff (11133851)

"…Data-driven strategies are gaining increased attention in protein engineering due to recent advances in access to large experimental databanks of proteins, next-generation sequencing (NGS), high-throughput screening (HTS) methods, and the development of artificial intelligence algorithms. However, the reliable prediction of beneficial amino acid substitutions, their combination, and the effect on functional properties remain the most significant challenges in protein engineering, which is applied to develop proteins and enzymes for biocatalysis, biomedicine, and life sciences. …"

Sketching & randomized data structures 3: Hashes & randomness حسب Ben Langmead (735325)

CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages حسب Vicente Martí-Centelles (1422415)

"…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …"

CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages حسب Vicente Martí-Centelles (1422415)

"…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …"

CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages حسب Vicente Martí-Centelles (1422415)

"…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …"

Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH). حسب Moshe Rubanov (7289156)

"…<b>B)</b> Pseudocode for MAPDH in Python. The algorithm takes as input the vials that will be flowed through the patterning chamber. …"