Clustering results based on ward’s method. by Karine Torosyan (17002113)

“…This study fills the gap by examining employment trends based on similarities between occupations.</p><p>Method</p><p>We first demonstrated a new method that clusters 756 occupation titles based on knowledge, skills, abilities, education, experience, training, activities, values, and interests. …”

Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

“…By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”

Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

Clusters of significant altered cortical thickness between HIV-infected patients groups. by Rafael Ferracini Cabral (11824637)

Spikes of (significant) time bins. by András Ecker (18137289)

Cluster dendrogram based on MMD values. by Erica Piccirilli (17200066)

Heatmap based on partitioning around medoids cluster analysis. by Fiona McAuliffe (18265159)

Overview of the WeARTolerance program. by Ana Beato (20489933)

“…<div><p>The stigma surrounding mental health remains a significant barrier to help-seeking and well-being in youth populations. …”

Statistically significant analysis results of LMSM modules. by Junpeng Zhang (173071)

Significant clusters of overweight/obesity among reproductive age women, EDHS 2016. by Ermias Bekele Enyew (12152258)

Significant clusters for zero-dose children aged 12-23 months in Ethiopia, 2023. by Berhanu Fikadie Endehabtu (9218109)

Heat map of hierarchical clustering analysis based on the significantly changed miRNA expression between BrS patients and controls. by Yoshihiro Ikeuchi (12646774)

Clustering results based on AAPS and AAPK. by Shijian He (16893450)

“…Subsequently, the K-means clustering algorithm is utilized for road segment classification based on APS and APK indicators. …”

Mean differences based on participation in cluster farming. by Guyo Godana Dureti (18389027)

Subjects:

MetaMapp network analysis identifies significant metabolite clusters at day 3 IR. by Lauren G. Buss (17419758)

Consensus clustering of epilepsy patients based on DEGs between m7G clusters. by Jiangli Zhao (2308330)

Subjects:

Pairs of musical genres with significant differences for clusters formed with the ASVD components, according to Tukey’s test. by Dirceu de Freitas Piedade Melo (9635241)

<i>GmNN1/FT2a</i> expression analysis. by Xinxin Li (281237)

Summary of significant submodules detected by the best performing FN and Spectral clustering algorithms. by Zerrin Isik (5736857)

Significant clusters for timely completion of vaccination in Ethiopia using 2019 EDHS data. by Muluken Chanie Agimas (17478947)