Distribution of the adjusted Rand index, above, and Rand index, below, for the 50 simulations from a model with <i>K</i> = 3 clusters, i.i.d. random error term. by Susana Conde (5495675)

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Data_Sheet_1_Widespread cortical thinning, excessive glutamate and impaired linguistic functioning in schizophrenia: A cluster analytic approach.pdf by Liangbing Liang (13205088)

A wireless mesh network consists of two gateway routers, eight mesh routers and twenty-one clients. by Le Huu Binh (18340233)

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Functional modules. by Mehrnaz Shoushtarian (6411299)

Data_Sheet_1_Characterizing and Predicting Autism Spectrum Disorder by Performing Resting-State Functional Network Community Pattern Analysis.PDF by Yuqing Song (5473952)

“…However, the potential of hidden patterns in the modular organization of networks derived from resting-state functional magnetic resonance imaging to predict brain pathology has never been investigated. …”

Step by step workflow for PRLF model training and data scoring. by John Prindle (10774286)

Cleavage time as a function of scaled fiber diameter. by Roukayatou R. Ouedraogo (20460980)

Supplementary Table 7 from Integrative Genomic Analysis Predicts Causative <i>Cis</i>-Regulatory Mechanisms of the Breast Cancer–Associated Genetic Variant rs4415084 by Yi Zhang (9093)

Optimization results for parameter [mini-batch, epochs, and standard deviation of domain filter <i>σ</i>_<i>d</i>] determination. by Tsutomu Gomi (7382183)

Functional pathways and evaluation of mutation between the two MRG-related risk groups. by Xuefen Lin (17785367)

Table_1_Deep Learning-Based Multilevel Classification of Alzheimer’s Disease Using Non-invasive Functional Near-Infrared Spectroscopy.docx by Thi Kieu Khanh Ho (12459612)

“…<p>The timely diagnosis of Alzheimer’s disease (AD) and its prodromal stages is critically important for the patients, who manifest different neurodegenerative severity and progression risks, to take intervention and early symptomatic treatments before the brain damage is shaped. As one of the promising techniques, functional near-infrared spectroscopy (fNIRS) has been widely employed to support early-stage AD diagnosis. …”

Curve of step response signal of 6 algorithms. by Guangwei Liu (181992)

“…Secondly, the nonlinear convergence factor is constructed to replace the original random factor <i>c</i>₁ to coordinate the algorithm’s local exploitation and global exploration performance, which effectively improves the ability of the algorithm to escape extreme values and fast convergence. …”

Data information and schematic diagram of the overlapping modular architecture based on the edge-centric module detection. by Tianyuan Lei (19683861)

“…<p><b>(A)</b> Age distribution of longitudinal rsfMRI scans of children. <b>(B)</b> (i) Traditional brain functional connectivity network. …”

DESeq2 GFP vs <i>RNF43 R117fs</i>. by Alexis M. Thornton (11068403)

DESeq2 GFP vs <i>RNF43 G659fs</i>. by Alexis M. Thornton (11068403)

Smooth functions for the GAMMs showing the influence of significant covariates on the NASC values of echo-classes 1 to 4. by Pavanee Annasawmy (14570135)

S1 File - Sparsity-based method for ring artifact elimination in computed tomography by Mona Selim (12969227)

Distribution of the True Positive Rate, above, and True Negative Rate, below, for the 50 simulations from a model with <i>K</i> = 3 clusters, i.i.d. random error term. by Susana Conde (5495675)

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Illustrate the lower and upper bounds of the search space in the RNP problem. by Le Huu Binh (18340233)

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Illustration of coverage overlap between two mesh routers. by Le Huu Binh (18340233)

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