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Algorithms used in species distribution modeling.
Algorithms tested in each species distribution model, the dependent package used in R software, the default parameters utilized in each model, and the reference for each R package. (DOCX)</p
Bivariate correlations between preventive measures and symptoms of anxiety.
Bivariate correlations between preventive measures and symptoms of anxiety.</p
Difference between home score and home turnover (on attack) and between opposition score and opposition turnover (on defence) for each of the derived measures of each collective tactical variable for the midcourt sub-group.
With the exception of the mean centroid longitudinal and lateral, the statistics were derived via log-transformation, hence data are the predicted changes (%, ±90% compatibility limits) and decisions about the magnitude of the changes. (PDF)</p
Stressful life events survey.
Depressive disorders are leading contributors to morbidity in low- and middle-income countries and are particularly prevalent among people with non-communicable diseases (NCD). Stressful life events (SLEs) are risk factors for, and can help identify those at risk of, severe depressive illness requiring more aggressive treatment. Yet, research on the impact of SLEs on the trajectory of depressive symptoms among NCD patients indicated for depression treatment is lacking, especially in low resource settings. This study aims to estimate the longitudinal association of SLEs at baseline with depression remission achievement at three, six, and 12 months among adults with either hypertension or diabetes and comorbid depression identified as being eligible for depression treatment. Participants were recruited from 10 NCD clinics in Malawi from May 2019-December 2021. SLEs were measured by the Life Events Survey and depression remission was defined as achieving a Patient Health Questionaire-9 (PHQ-9) score </div
Correlations between collective tactical variables for the defender sub-group on attack.
Data shown are the range of the three correlations (mean, standard deviation and entropy). The variables have been ordered and outlined to show clusters with generally higher correlations between variables within the clusters than between the clusters. (PDF)</p
Correlations between collective tactical variables for the forward sub-group on attack.
Data shown are the range of the three correlations (mean, standard deviation and entropy). The variables have been ordered and outlined to show clusters with generally higher correlations between variables within the clusters than between the clusters. (PDF)</p
Video animations of the collective tactical variables for one possession.
Video animations of the collective tactical variables for one possession.</p
Piscivore biomass targets.
Median piscivore biomass contribution to yearly total biomass (Q1, Q3) along the Toronto waterfront across the three ecotypes (a coastal wetland, b embayment, c open coast) as well as average yearly piscivore richness. Kruskal-Wallis test and conover comparison (BH adjusted p-value) for years blocked into three periods (T1 03–08, T2 09–14, T3 15–21). Symbol attribution Tracey Saxby, Integration and Application Network; Kate Moore, Moreton Bay Waterways and Catchments Partnership (ian.umces.edu/media-library). Reprinted from ian.umces.edu/media-library under a CC BY 4.0 license, with permission from ian.umces.edu/media-library, original copyright 2005 & 2010.</p
Population trends for biomass.
Median biomass (Q1, Q3, BPUE, g/1000s) across time (2003–2021) along the Toronto waterfront and across the three ecotypes (a coastal wetland, b embayment, c open coast). Kruskal-Wallis test and conover comparison (BH adjusted p-value) for years blocked into three periods (T1 03–08, T2 09–14, T3 15–21). Comparisons were done for overall catch as well as excluding species contributing the most to overall biomass for each ecotype (Common carp (open coast, coastal wetland, embayment), White sucker (embayment), and Freshwater drum (coastal wetland). Symbol attribution Tracey Saxby, Integration and Application Network; Kate Moore, Moreton Bay Waterways and Catchments Partnership (ian.umces.edu/media-library). Reprinted from ian.umces.edu/media-library under a CC BY 4.0 license, with permission from ian.umces.edu/media-library, original copyright 2005 & 2010.</p
Hypothesized 4-state transitions.
States: S1: Normal, S2: Marginally stunted, S3: Moderately stunted, S4: Severely stunted.</p