Motifs identified within the IDRs of the C-terminal regions of MADS-domain proteins. by Erandi Ramírez-Aguirre (22110116)

“…Type I MADS-domain proteins do not contain molecular recognition features (MoRFs; purple rectangles) near or within the identified motifs. In contrast, in Type II MADS-domain proteins, MoRFs (purple rectangles) overlap with the predicted motifs, supporting their potential functional relevance. …”

LBQANA python code + Merged Gene Expression Dataset from GSE10810, GSE17907, GSE20711, GSE42568, GSE45827, and GSE61304 for Breast Cancer Biomarker Discovery by M RN (9866504)

Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection by Samin Aref (4683934)

“…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…”

Synthetic Realness: Authenticity as Algorithm (Reality Drift Working Paper Series, 2025) by Reality Drift Working Papers Series 2020-2025 (22445446)

“…<p dir="ltr">This paper explores the concept of synthetic realness: how authenticity is increasingly engineered by algorithms until the line between real and fake becomes functionally irrelevant. …”

Variants of weighted methods. by Limin Ma (556873)

“…At this point, considering the weights as the probabilities of the contributions of different attributes to the model can enhance the interpretation ability of the algorithm. Specifically, we add an entropy regularization term to the objective function of the problem model and then use the Lagrange multiplier method to solve the weights. …”

Clinical characteristics of the participants. by Yuki Takagi (9647692)

“…</p><p>Methods</p><p>We included 30 patients (48 eyes) who underwent HFA 24-2 Swedish Interactive Threshold Algorithm Standard and IMOvifa™ 24plus (1-2) Ambient Interactive Zippy Estimated tests on the same day and HFA 10-2 within six months. …”

Schematic of <i>P. chabaudi</i> within-host infection dynamics and fitness optimization. by Avril Wang (22404300)

Morpheus: A fragment-based algorithm to predict metamorphic behaviour in proteins across proteomes by Vijay Subramanian (20718933)

“…<p dir="ltr">Supplementary material for Morpheus: A fragment-based algorithm to predict metamorphic behaviour in proteins across proteomes.…”

Computational Pipeline for Accelerating the Design of Glycomimetics by Yao Xiao (227567)

Subjects:

Evidence for an AR(1) model for the Lake Michigan-Huron data. by Jesse Wheeler (18462457)

Graphical representation of the diffuse interface approach in one dimension. by Martina Bukač (20161460)

Identifying the groups becomes harder when the degradation chain is long, especially for groups catalyzing upstream reactions. by Yuanchen Zhao (12905580)

“…<p>(A) The panel shows the ability of the Metropolis algorithm to recover the true functional groups within a linear degradation chain with <i>N</i> = 4 metabolites. …”

Graphs of the regularization terms. by Tomokaze Shiratori (9635271)

“…Our method is particularly advantageous for selecting true edges when cross-validation is used to determine the number of edges. Moreover, our DC algorithm converges within a practical time frame compared to the graphical lasso.…”

Schematic representation of the coarse structure of serial interval data. by Oswaldo Gressani (13933254)

Functional Projection <i>K</i>-means by Roberto Rocci (16022201)

“…<p>A new technique for simultaneous clustering and dimensionality reduction of functional data is proposed. The observations are projected into a low-dimensional subspace and clustered by means of a functional <i>K</i>-means. …”

A) Probability density of glucuronate-UDP as a function of three collective variables (CVs): the distance between the C6 atom of the sugar and the atom of Lys307, defined as <i>d</... by Davide Luciano (22822210)

Enhanced USV path planning through integrated Bi-RRT and DWA algorithms considering environmental factors by Yanghua Zhou (20449441)

“…Furthermore, the evaluation function of the DWA algorithm undergoes enhancements, incorporating elements from heuristic functions within the A* algorithm and radar-based assessment of search range. …”

Bangdiwala’s agreement charts for item 18 (A), 19 (B) and 22 (C) comparing item scores between the Paper-based support and the Tablet. by Dominique Vincent-Genod (20552594)

Identification of hub DE-SRGs. by Xihao Shen (20347942)

pone.0331193.t003 - by Carol Kotliar (22351525)

Subjects: