Aquilegia, Vol. 23 No. 3, May-June 1999: Newsletter of the Colorado Native Plant Society

https://epublications.regis.edu/aquilegia/1174/thumbnail.jp

Aquilegia, Vol. 23 No. 1, January-February 1999: Newsletter of the Colorado Native Plant Society

https://epublications.regis.edu/aquilegia/1088/thumbnail.jp

Aquilegia, Vol. 22 No. 6, November-December 1998: Newsletter of the Colorado Native Plant Society

https://epublications.regis.edu/aquilegia/1087/thumbnail.jp

Patterns of language impairment and behaviour in boys excluded from school.

Background: High levels of behaviour problems are found in children with language impairments but less is known about the level and nature of language impairment in children with severe behavioural problems. In particular, previous data suggests that at primary age, receptive impairments are more closely related to behaviour problems whereas expressive language has a closer link at a later age. Aims: The study assessed expressive and receptive language problems in boys excluded from primary and secondary schools, to investigate the extent of impairment, the pattern of relations between age, receptive and expressive language and relations with different aspects of behaviour. Sample: Nineteen boys (8-16 years of age) who had been excluded from school and 19 non-excluded controls matched for age and school participated. Method: The sample was given assessments of receptive language (BPVS, WOLD), expressive language (from the WISC), auditory working memory (CELF) and verbal reasoning, and non-verbal IQ (Raven s matrices). Teachers completed behaviour ratings (SDQ). Results: Excluded boys were significantly poorer than controls on expressive measures but similar on receptive language and nonverbal IQ. Boys excluded from primary school were poorer than controls on auditory working memory. Expressive problems were linked with high levels of emotional symptoms. Conclusion: Many of the excluded boys had previously unidentified language problems, supporting the need for early recognition and assessment of language in boys with behaviour problems. Expressive problems in particular may be a risk factor

North American botanic garden strategy for alpine plant conservation, The: how you can engage

Presented at the 18th annual symposium held on September 10th, 2021 at Trinidad Jr. College in Trinidad, Colorado

Investigating Spatial Patterns of Persistent Scatterer Interferometry Point Targets and Landslide Occurrences in the Arno River Basin

Persistent Scatterer Interferometry (PSI) has been widely used for landslide studies in recent years. This paper investigated the spatial patterns of PSI point targets and landslide occurrences in the Arno River basin in Central Italy. The main purpose is to analyze whether spatial patterns of Persistent Scatterers (PS) can be recognized as indicators of landslide occurrences throughout the whole basin. The bivariate K-function was employed to assess spatial relationships between PS and landslides. The PSI point targets were acquired from almost 4 years (from March 2003 to January 2007) of RADARSAT-1 images. The landslide inventory was collected from 15 years (from 1992–2007) of surveying and mapping data, mainly including remote sensing data, topographic maps and field investigations. The proposed approach is able to assess spatial patterns between a variety of PS and landslides, in particular, to understand if PSI point targets are spatially clustered (spatial attraction) or randomly distributed (spatial independency) on various types of landslides across the basin. Additionally, the degree and scale distances of PS clustering on a variety of landslides can be characterized. The results rejected the null hypothesis that PSI point targets appear to cluster similarly on four types of landslides (slides, flows, falls and creeps) in the Arno River basin. Significant influence of PS velocities and acquisition orbits can be noticed on detecting landslides with different states of activities. Despite that the assessment may be influenced by the quality of landslide inventory and Synthetic Aperture Radar (SAR) images, the proposed approach is expected to provide guidelines for studies trying to detect and investigate landslide occurrences at a regional scale through spatial statistical analysis of PS, for which an advanced understanding of the impact of scale distances on landslide clustering is fundamentally needed