Data of PV, WT, FC, and utilized coefficients. حسب Obaid Aldosari (19797428)

DataSheet1_The evolution of flexibility and function in the Fc domains of IgM, IgY, and IgE.pdf حسب Rosaleen A. Calvert (10039787)

"…Introduction<p>Antibody Fc regions harbour the binding sites for receptors that mediate effector functions following antigen engagement by the Fab regions. …"

Significantly dysregulated proteins (|log2FC | ≤  0.5, adj. p-value ≤  0.05) in SCA1 (805 proteins). حسب Aimilia-Christina Vagiona (17584758)

Distributions of optimized coupling parameters and median FC strengths for males and females. حسب Kevin J. Wischnewski (21354521)

Reliability of the optimized frequency parameters and sFC matrix edges in the high-dimensional cases as well as of the GoF. حسب Kevin J. Wischnewski (21354521)

A global view of gene ontology (GO) terms enriched in the set of gene pairs with gain-of-correlation (GOC) in resistant (RES) but not in susceptible (SUS) phenotypes. حسب Fang Liu (13271)

Composite statistics of modules inferred from resistant (RES) lambs that were preserved in susceptible (SUS) lambs. حسب Fang Liu (13271)

Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs. حسب Hiroyuki Ichijo (13891153)

GSEA Analysis of Differentially Expressed Genes in High and Low-Risk Groups. حسب Jie Chu (293795)

GO/KEGG Enrichment Analysis of Differentially Expressed Genes in High and Low-Risk Groups. حسب Jie Chu (293795)

Characteristics of biological processes involved in DKD. حسب Hailin Li (453832)

Components of a critical PPI network involved in SCA1 pathogenesis. حسب Aimilia-Christina Vagiona (17584758)

Profile of dysregulated proteins in SCA1 cells containing polyQ inclusions. حسب Aimilia-Christina Vagiona (17584758)

Data pre-processing and identification of DEGs. حسب Ziyang Liu (242055)

Molecular replacement (MR) solution and electron density maps of HEWL at various input CTDDs. حسب Ki Hyun Nam (5813819)

An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%. حسب Zhengdong Wang (35299)

"…<b>(</b><b>B</b>-<b>C)</b> Mean shortest path length matrices were derived from the weighted and binary FC matrices using Dijkstra’s algorithm. <b>(</b><b>D</b>-<b>F)</b> The predicted activations of 24 task contrasts by activity flow modeling with the routes of FC, SPL_wei, and SPL_bin, respectively. …"

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

"…<p>A: What is dynamic Functional Connectivity: i) We can start from any set of brain recordings, where each signal is referred to a brain location (e.g. fMRI, EEG, intracranial recordings in rodents, and more). ii) “Static” Functional Connectivity (FC) is a matrix where each entry is a time aggregated functional measure of interaction between two regions, for example, the Pearson Correlation Coefficient. iii) Dynamic Functional Connectivity (dFC) is a FC matrix (that can be calculated in different ways, see below) that changes with time, under the assumption that patterns of brain interactions are non-stationary. …"

PSO-Optimized Electronic Load Controller with Intelligent Energy Recovery for Self-Excited Induction Generator Based Micro-Hydro Systems حسب MRINAL KANTI RAJAK (21838169)

"…The dataset includes: (1) <b>PSO configuration parameters</b> - complete algorithm setup with population size (N=20), adaptive inertia weights (0.9→0.4), time-varying cognitive/social coefficients (c1: 2.5→0.5, c2: 0.5→2.5), search space boundaries for all 10 optimization variables, and convergence criteria specifications; (2) <b>Multi-objective fitness function data</b> - detailed weight adaptation formulas, individual objective convergence statistics (voltage: 15.3 iter, frequency: 19.2 iter, THD: 12.8 iter, energy: 23.0 iter), and composite fitness evolution from 0.537 to 0.903 over 50 iterations; (3) <b>Particle dynamics tracking</b> - complete position and velocity trajectories for all 20 particles across optimization dimensions [Kpv, Kiv, Kdv, Kpf, Kif, Kdf, ma, θphase, fc, Ppump,ref], diversity evolution (100%→8%), and exploration/exploitation transition patterns; (4) <b>Real-time implementation metrics</b> - computational requirements (2.6 kB memory, 67% CPU utilization), execution timing (0.83 ms average, 1.2 ms worst-case), and synchronization protocols for 100 Hz optimization loops; and (5) <b>Validation datasets</b> - performance verification across six different load conditions, convergence statistics, and algorithm robustness testing results demonstrating consistent ±1.8% voltage regulation and ±0.9% frequency stability achievements, all provided in structured CSV/JSON formats with comprehensive documentation under CC-BY license.…"

Data Sheet 1_Identification of key biomarkers related to fibrocartilage chondrocytes for osteoarthritis based on bulk, single-cell transcriptomic data.docx حسب Bailin Pan (20300112)

"…</p>Results<p>The study identified 545 marker genes associated with FC in OA. GO and KEGG analyses revealed their biological functions; microarray analysis identified 243 DEGs on which functional-enrichment analysis were conducted. …"

Data Sheet 2_Identification of key biomarkers related to fibrocartilage chondrocytes for osteoarthritis based on bulk, single-cell transcriptomic data.csv حسب Bailin Pan (20300112)

"…</p>Results<p>The study identified 545 marker genes associated with FC in OA. GO and KEGG analyses revealed their biological functions; microarray analysis identified 243 DEGs on which functional-enrichment analysis were conducted. …"