K-means++ clustering algorithm. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Third. by Cuicui Liu (1496260)

K-means results. by Fei Zhang (85787)

“…<div><p>This study aims to investigate the dynamics of basketball game pace and its influence on game outcomes through a novel intra-game segmentation approach. By employing K-means clustering on possession duration, we categorized possessions from 1,141 NBA games in the 2019–2020 season into high-frequency (HFS), low-frequency (LFS), and normal-frequency segments (NFS). …”

Validation of child labor measures using third-party data, households with all children in school. by Guilherme Lichand (11410286)

Table 1_Higher oxidative balance score is associated with a decreased risk of infertility: an analysis of NHANES 2013–2020.docx by Mingjun Ma (11518765)

Disrupting the PI3K complex decreases the antiviral activity of autophagy. by Ruonan Zhang (358761)

DataSheet1_Decreasing viscosity and increasing accessible load by replacing classical diluents with a hydrotrope in liquid–liquid extraction.docx by Asmae El Maangar (19690522)

“…We show that using hydrotropes as a diluent decreases the viscosity of solutions by more than a factor of ten, even under high load by extracted cations. …”

Maternal group B <i>Streptococcus</i> decreases infant length and alters the early-life microbiome: a prospective cohort study by Shanshan Li (114847)

“…This study aimed to explore the effects of maternal vaginal GBS during pregnancy on early infant growth, microbiome, and metabolomics.</p> <p>We recruited and classified 453 pregnant women from southern China into GBS or healthy groups based on GBS vaginal colonization. …”

Loss of MAP4K4 expression causes a decrease in the number of neutrophils. by Guihua Wang (286390)

Effects of GJE extract treatment decreased expression of NF-kB p65. by Natnicha Suttawong (22367172)

“…Brown color represents NF-kB p65 positive staining. The percentage of positive staining for NF-kB p65 (E). …”

Baf-A1 suppresses PRRSV replication but does not affect the adsorption and internalization of PRRSV. by Jiaoyang Li (2862269)

SH3KBP1 promotes K63-linked polyubiquitination of RIG-I by recruiting TRIM25. by Jiaoyang Li (2862269)

Participants enrollment. by Chikondi Maluwa (20660522)

“…<div><p>Hypertension is a widespread and life-threatening condition affecting one-third of adults globally. …”

KAP assessment scores (n = 422). by Chikondi Maluwa (20660522)

“…<div><p>Hypertension is a widespread and life-threatening condition affecting one-third of adults globally. …”

Supplementary file 1_Identifying early blood glucose trajectories in sepsis linked to distinct long-term outcomes: a K-means clustering study with external validation.docx by Huan Ma (713125)

“…Distinct clusters were demarcated using K-means clustering based on the BG trajectory within the first 48 hours after ICU admission, while the optimal number of clusters was determined by a consensus of quantitative metrics and the elbow plot. …”

IRE1 depletion decreases heterochromatin, DNA, and H3K9me3 methylation, and UHRF1. by Iratxe Zuazo-Gaztelu (21071939)

IRE1 depletion decreases heterochromatin, DNA and H3K9me3 methylation, and UHRF1. by Iratxe Zuazo-Gaztelu (21071939)

MAP3K1, MAPK11, and PPP2R1A knockdown decreased ECM internalisation. by Montserrat Llanses Martinez (17797522)

Image 1_Relationship between triglyceride glucose-body mass index baselines and variation with future cardiovascular diseases risk in the middle-aged and elderly individuals.jpeg by Junpeng Qiao (11726521)

“…The change of TyG-BMI was categorized using K-means clustering and baseline TyG-BMI was grouped based on quartiles. …”

Image 2_Relationship between triglyceride glucose-body mass index baselines and variation with future cardiovascular diseases risk in the middle-aged and elderly individuals.jpeg by Junpeng Qiao (11726521)

“…The change of TyG-BMI was categorized using K-means clustering and baseline TyG-BMI was grouped based on quartiles. …”