Journal: BMC Veterinary Research

Article Title: In vitro antiviral activity of fifteen plant extracts against avian infectious bronchitis virus

doi: 10.1186/s12917-019-1925-6

Figure Lengend Snippet: Visual representation of the experimental data. a Cluster dendrogram of all plant extracts. b Multidimensional Scaling plot of anti-IBV active plant extracts. Plant extracts: 1 – D. canadense , 2 – M. piperita , 3 – T. vulgaris , 4 – M. officinalis , 5 – O. vulgare , 6 – S. officinalis , 7 – H. officinalis , 8 – S. montana

Article Snippet: Hierarchical clusterisation and multidimensional scaling (MDS) were performed using the software R-Studio.

Techniques:

Journal: The Patient

Article Title: The Parker Model: Applying a Qualitative Three-Step Approach to Optimally Utilize Input from Stakeholders When Introducing New Device Technologies in the Management of Chronic Rheumatic Diseases

doi: 10.1007/s40271-018-0306-8

Figure Lengend Snippet: The ava ® e-Device: contents of the ava ® kit ( a ); key features of ava ® ( b ). The ava ® kit comes in a storage case with the ava ® device, a user manual, a welcome booklet giving an introduction to and overview of ava ® , a help line contact card to assist patients with any questions or concerns they may have about ava ® , an electrical charger (including regional plug), 2 spare needle caps (green), a USB/micro USB cable, and a reusable dose-dispenser cartridge that does not contain a needle, syringe or any medication, which allows patients to practice and explore the injection process. e-Device electromechanical device

Article Snippet: For more detailed information on the CM methodology please refer to the ‘Supplementary Methods.’ Clustering analysis was performed on the participant statements generated during the three focus group CM workshops using multidimensional scaling (MDS) analysis (CS Global MAX; Concept Systems, Inc.) [ ].

Techniques: Injection

Journal: The Patient

Article Title: The Parker Model: Applying a Qualitative Three-Step Approach to Optimally Utilize Input from Stakeholders When Introducing New Device Technologies in the Management of Chronic Rheumatic Diseases

doi: 10.1007/s40271-018-0306-8

Figure Lengend Snippet: The Parker Model used to gain stakeholder input on the design and implementation of ava ® . Concept mapping and participatory design were used to gather the patients’ perception of the relevance of the e-Device, and stakeholder evaluation provided a broader perspective of both the relevance and the implementation of the e-Device through the engagement of healthcare professionals, healthcare managers, a device specialist and an economist, in addition to patients. e-Device electromechanical device

Article Snippet: For more detailed information on the CM methodology please refer to the ‘Supplementary Methods.’ Clustering analysis was performed on the participant statements generated during the three focus group CM workshops using multidimensional scaling (MDS) analysis (CS Global MAX; Concept Systems, Inc.) [ ].

Techniques:

Journal: The Patient

Article Title: The Parker Model: Applying a Qualitative Three-Step Approach to Optimally Utilize Input from Stakeholders When Introducing New Device Technologies in the Management of Chronic Rheumatic Diseases

doi: 10.1007/s40271-018-0306-8

Figure Lengend Snippet: Central findings and prototypes produced from PD sessions with patients

Article Snippet: For more detailed information on the CM methodology please refer to the ‘Supplementary Methods.’ Clustering analysis was performed on the participant statements generated during the three focus group CM workshops using multidimensional scaling (MDS) analysis (CS Global MAX; Concept Systems, Inc.) [ ].

Techniques: Produced, Antiviral Assay

Journal: The Patient

Article Title: The Parker Model: Applying a Qualitative Three-Step Approach to Optimally Utilize Input from Stakeholders When Introducing New Device Technologies in the Management of Chronic Rheumatic Diseases

doi: 10.1007/s40271-018-0306-8

Figure Lengend Snippet: Perspectives identified by SE of the applicability and relevance of introducing an e-Device to self-administer CZP for patients with rheumatic diseases

Article Snippet: For more detailed information on the CM methodology please refer to the ‘Supplementary Methods.’ Clustering analysis was performed on the participant statements generated during the three focus group CM workshops using multidimensional scaling (MDS) analysis (CS Global MAX; Concept Systems, Inc.) [ ].

Techniques: Injection, Medications, Battery

Journal: The Patient

Article Title: The Parker Model: Applying a Qualitative Three-Step Approach to Optimally Utilize Input from Stakeholders When Introducing New Device Technologies in the Management of Chronic Rheumatic Diseases

doi: 10.1007/s40271-018-0306-8

Figure Lengend Snippet:

Article Snippet: For more detailed information on the CM methodology please refer to the ‘Supplementary Methods.’ Clustering analysis was performed on the participant statements generated during the three focus group CM workshops using multidimensional scaling (MDS) analysis (CS Global MAX; Concept Systems, Inc.) [ ].

Techniques: Generated

Journal: International Journal of Molecular Sciences

Article Title: Hierarchical Clustering and Target-Independent QSAR for Antileishmanial Oxazole and Oxadiazole Derivatives

doi: 10.3390/ijms23168898

Figure Lengend Snippet: Scatter plot obtained by multidimensional scaling (MDS). The molecules of the G 1 group are shown in blue, the molecules of the G 2 group are shown in orange, and the structural outliers are shown in green.

Article Snippet: To visualize the diversity of the identified groups in a plane, a multidimensional scaling (MDS) approach was employed with the similarity matrix as input in a Knime node [ ].

Techniques:

Journal: BMC Genomics

Article Title: Human growth is associated with distinct patterns of gene expression in evolutionarily conserved networks

doi: 10.1186/1471-2164-14-547

Figure Lengend Snippet: Differential age-associated gene expression. A . Heat map of age-associated changes in gene expression in 87 individuals (0.2 to 29.3 years of age - average 7.7+/−7.0 yrs). 927 gene expression probes were significantly associated with age (ANOVA, false discovery rate (FDR) corrected p-value, q < 0.1, with both gender and study used as co-variates. Supervised hierarchical clustering using Kendell’s dissimilarity and Ward’s method identified three main clusters of gene expression probes: ≤6 years of age [infancy, early childhood group (408 probes)]; >6 to ≤17 years of age [late childhood, puberty group (252 probes)]; and >17 to <30 years of age [adulthood (267 probes)]. Gene expression is shown between +2.5 fold and −2.5 fold, red = increase in gene expression, green = decrease in gene expression. Human growth curve data from normal controls [ , ] shown in relation to the heat map, age groups coloured by upper limit of group bins (years). B. Multi-dimensional scaling (MDS) of the 927 development-related gene expression probes shows distinct development-related clustering; ellipsoids represent 2 standard deviations of normalised gene expression, colour coded by age. Axes represent proportion of variation as defined by MDS (%).

Article Snippet: Model formulation consisted of three stages; first, dimensional scaling using Principal Components Analysis (PCA) and Iso-map multidimensional scaling (MDS) [ , ] was used to demonstrate data homogeneity (Qlucore Omics Explorer 2.2) and identify outliers using cross-validation (Additional file : Figure S1 A&B); secondly, to assess the effects of different distributions of age and gender in each separate data set a sliding window multi-dimensional scaling approach was used.

Techniques: Gene Expression