Community‐Integrated Residential Services for Adults with Autism: A Working Model (Based on a Mother's Odyssey)

Author(s):  
Ruth Christ Sullivan
2016 ◽  
Vol 27 (9) ◽  
pp. 2596-2609
Author(s):  
JY Lee ◽  
Chiu-Ying Chen ◽  
KF Cheng

Discoveries and analyses of genetic variants at a gene or exome based on high-throughput sequencing technology are increasingly feasible. Although many well-known association tests have already been proposed in literature for testing whether a group of variants in a target region is associated with a disease of interest, however, the analytic challenges still remain profound. The power performance of these tests generally depends on the sample size, numbers of causal and neutral variants, variant frequency, effect size, and direction. Some of these factors are not easily controllable in practical applications. Further complications arise from missing genotype, population stratification or misspecification of the working model. Previous studies showed that many model-based tests might create false positive results or decrease power when there was population stratification effect or missing genotype and simple imputation was used. Here, we demonstrate by simulations that type I errors of the well-known model-based tests are often inflated as well, even the working model deviates slightly from the true model. We propose a model-free test and show this test to be almost uniformly most powerful among the competing tests under very general simulation conditions with covariates. This test does not require genotype data to be complete and hence difficult imputation can be avoided. We also discuss how to adjust for the effect of population stratification based on principal components, and use a Shanghai Breast Cancer Study to demonstrate application of the new test.


2020 ◽  
Vol 14 (2) ◽  
pp. 139-150
Author(s):  
M. Simon ◽  
C.A. Popescu ◽  
Loredana Copăcean ◽  
Luminiţa Cojocariu

Data from the specialized literature show that in the last decade there has been a rapid development in the use of unmanned aerial vehicles (UAV) for obtaining spatial information from the pastoral environment. The idea of investigating grassland surfaces with the help of drones was based on the following practical considerations: the size and complexity of pastoral space and the need for data acquisition in hard-to-reach areas and in a short time. In this context, the purpose of the research is to integrate UAV technology and GIS applications into pratological research, the results obtained having both practical and methodological character. For the efficient research of the pastoral space with UAV equipment, a working model was developed, complex from a technical point of view, consisting of several stages: identifying the areas of interest, planning and setting the flight parameters, "photographing" the area, downloading and image processing, and then processing the results in the GIS environment. From each stage, geospatial products can be extracted, and the final products can be used in various ways, both in the pastoral space and in other segments of the geographical environment. Following the application of the working algorithm results the orthophotoplan and the point clouds, from which can be extracted topo-cadastral information (related to the "physical" surface of grasslands), pratological information (related to vegetation and mode of use) or useful information in territorial planning (risk phenomena, relief aspects), with high precision and spatial location. Compared with the classical research methods, the use of the working model based on geomatic technologies, has the effect of reducing the working time and the number of operators, the possibility of tracking time and space of the investigated territory, but also the formation of graphic and descriptive databases that they can be used in other subsequent projects.


2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Heru Kurniawan ◽  
Supriyono Supriyono

In this era, writing is not enough to be done expressively with personal spontaneity, but need to be done collaboratively by considering aspects of the desired goals. One of them is when writing is done to fulfill economic goals as the basis of a community's creative industry. With the concept of a creative industry whose estuary is to produce economic products made from creative ideas, writing in Wadas Kelir Literacy Community (KLWK) is carried out with a planned collaborative working model based on creative industry standards of economic value. From here, the results of research that have been carried out are: first, writing collaboration begins with market research studies in an effort to identify trends in children's books that are being sought after by publishers and readers. Second, the formulation of themes and ideas is carried out in the discussion space and cooperation for the division of writing work. Third, the results of the writing work are reviewed and edited by a team of experts to identify the strengths and the weaknesses. Fourth, the book manuscript offer to publishers is carried out by a separate management who continues to carry out partnership work with publishers. Fifth, involved in efforts to distribute book sales through online stores that create trust in the community of publishers.


1977 ◽  
Vol 44 (1) ◽  
pp. 16-22 ◽  
Author(s):  
Ellidee D. Thomas ◽  
Melody J. Marshall

A four phase ecological working model for the clinical evaluation and coordination of services for the child with a handicap is presented. This model, based on the experience of a medically based multidisciplinary program, stresses the importance of coordinated services in order that the family can view the interrelationship of each component (medical, educational, and family) of the child's habilitation program. In order for this to take place, interdisciplinary and intradisciplinary communication must occur.


2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.


2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.


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