Table_1_Anxiety Behavior in Pigs (Sus scrofa) Decreases Through Affiliation and May Anticipate Threat.DOCX by Ivan Norscia (240423)

“…From 224 videos recorded on adult individuals (Mean ± SD/subject: 4.84 ± 1.85 h) at the “Ethical Farm Parva Domus” (Turin, Italy), we extracted possible displacement activities (vacuum-chewing, scratching/body-rubbing, head/body-shaking, and yawning) in four 3-min conditions: before (BA) and after aggression events, in the absence (AA) or presence (AP) of post-aggression affiliation, and a matched-control (no event; MC). …”

Video_2_Anxiety Behavior in Pigs (Sus scrofa) Decreases Through Affiliation and May Anticipate Threat.AVI by Ivan Norscia (240423)

“…From 224 videos recorded on adult individuals (Mean ± SD/subject: 4.84 ± 1.85 h) at the “Ethical Farm Parva Domus” (Turin, Italy), we extracted possible displacement activities (vacuum-chewing, scratching/body-rubbing, head/body-shaking, and yawning) in four 3-min conditions: before (BA) and after aggression events, in the absence (AA) or presence (AP) of post-aggression affiliation, and a matched-control (no event; MC). …”

Video_1_Anxiety Behavior in Pigs (Sus scrofa) Decreases Through Affiliation and May Anticipate Threat.AVI by Ivan Norscia (240423)

“…From 224 videos recorded on adult individuals (Mean ± SD/subject: 4.84 ± 1.85 h) at the “Ethical Farm Parva Domus” (Turin, Italy), we extracted possible displacement activities (vacuum-chewing, scratching/body-rubbing, head/body-shaking, and yawning) in four 3-min conditions: before (BA) and after aggression events, in the absence (AA) or presence (AP) of post-aggression affiliation, and a matched-control (no event; MC). …”

Video_4_Anxiety Behavior in Pigs (Sus scrofa) Decreases Through Affiliation and May Anticipate Threat.AVI by Ivan Norscia (240423)

“…From 224 videos recorded on adult individuals (Mean ± SD/subject: 4.84 ± 1.85 h) at the “Ethical Farm Parva Domus” (Turin, Italy), we extracted possible displacement activities (vacuum-chewing, scratching/body-rubbing, head/body-shaking, and yawning) in four 3-min conditions: before (BA) and after aggression events, in the absence (AA) or presence (AP) of post-aggression affiliation, and a matched-control (no event; MC). …”

Results of whole-brain grey matter analyses and corresponding ROI analyses of labels included in significant clusters. by Daniel Deuter (16976010)

Heat map and k-means clustering of proteins (384) for which any Vpu-mutant was significantly different from wild type. by Charlotte A. Stoneham (10819125)

Factors associated with abnormal left ventricular ejection fraction (decreased or increased) in patients with sepsis in the intensive care unit by Dong Geum Shin (6019568)

“…Mortality rates were also similar in the three groups; however, mortality rates were significantly higher in patients with abnormal EF (decreased or increased vs. normal). …”

Significant spatial clusters of open defecation practice among households in Ethiopia, EDHS 2016. by Daniel Gashaneh Belay (12334351)

Subjects:

Data Extraction Sheet: A sheet that contains the data that we extracted from the included studies. by Mohamed R. Abdelraouf (21501468)

Model-based edge clustering by Daniel K. Sewell (9345029)

“…One important facet of network analysis that receives significant attention is community detection. However, while most community detection algorithms focus on clustering the actors of the network, it is very intuitive to cluster the edges. …”

Summary of significant treatment × time effect. by Wensheng Xiao (16557866)

Unsupervised hierarchical clustering based on expression values for significantly differentially expressed miRNAs after the effect of the individual had been removed. by Ruth Elizabeth Drury (7288745)

Heatmap of the significantly different OTUs between the inulin-conditioned and control mice post-dietary intervention (Day 14) based on hierarchical clustering. by Yi Jia Liow (19065924)

Annotation of the genome-wide significant genes in the present cluster-based genome-wide association study primarily in relation to autism spectrum disorder. by Fumihiko Ueno (9201355)

“…<p>Annotation of the genome-wide significant genes in the present cluster-based genome-wide association study primarily in relation to autism spectrum disorder.…”

Hierarchical cluster diagram based on characteristic parameters of MICP. by Feng Tian (121350)

Subjects:

The cluster analysis dendrogram of studied population based on UPGMA method. by Mehdi Rahimi (5398259)

Subjects:

The linear model lines of the samples of cluster 1, cluster 2, cluster 3, cluster 4, cluster 10 and class 11. by Yanghua Zhang (11534604)

The linear model lines of the samples of cluster 5, cluster 6, cluster 7, cluster 8, cluster 9 and class 12. by Yanghua Zhang (11534604)

Summary statistics from SaTScan using Bernoulli model for identifying significant clusters of lymphatic filariasis infection markers (microfilaria, antigen and antibodies), America... by Kinley Wangdi (4265476)

Subjects:

Mean case duration before and after intervention (t-statistic = -3.35, p <i>< </i>0.001), indicating a statistically significant difference in means. by Mohammad Bakhtiari (11838264)