11,961 research outputs found
Managing migration: the Brazilian case
The objective of this paper is to present the Brazilian migration experience and its relationship with migration management. The article is divided into three parts. First, it reviews some basic facts regarding Brazilian immigration and emigration processes. Second, it focuses on some policy and legal issues related to migration. Finally, it addresses five issues regarding migration management in Brazil.international migration, immigration, emigration, migration management, migration policies, migration laws, Brazil
theory of weights for rough homogeneous singular integrals and commutators
Quantitative estimates for rough homogeneous singular
integrals and commutators of symbols and are
obtained. In particular the following estimates are proved: % %
and % % for and .Comment: 19 page
Sequential sampling of junction trees for decomposable graphs
The junction-tree representation provides an attractive structural property
for organizing a decomposable graph. In this study, we present a novel
stochastic algorithm, which we call the junction-tree expander, for sequential
sampling of junction trees for decomposable graphs. We show that recursive
application of the junction-tree expander, expanding incrementally the
underlying graph with one vertex at a time, has full support on the space of
junction trees with any given number of underlying vertices. A direct
application of our suggested algorithm is demonstrated in a sequential Monte
Carlo setting designed for sampling from distributions on spaces of
decomposable graphs, where the junction-tree expander can be effectively
employed as proposal kernel; see the companion paper Olsson et al. 2019 [16]. A
numerical study illustrates the utility of our approach by two examples: in the
first one, how the junction-tree expander can be incorporated successfully into
a particle Gibbs sampler for Bayesian structure learning in decomposable
graphical models; in the second one, we provide an unbiased estimator of the
number of decomposable graphs for a given number of vertices. All the methods
proposed in the paper are implemented in the Python library trilearn.Comment: 31 pages, 7 figure
Functional Analysis of MicroRNA Pathway Genes in the Somatic Gonad and Germ Cells During Ovulation in \u3cem\u3eC. Elegans\u3c/em\u3e
MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression that play critical roles in animal development and physiology, though functions for most miRNAs remain unknown. Worms with reduced miRNA biogenesis due to loss of Drosha or Pasha/DGCR8 activity are sterile and fail to ovulate, indicating that miRNAs are required for the process of oocyte maturation and ovulation. Starting with this penetrant sterile phenotype and using new strains created to perform tissue specific RNAi, we characterized the roles of the C. elegans Pasha, pash-1, and two miRNA-specific Argonautes, alg-1 and alg-2, in somatic gonad cells and in germ cells in the regulation of ovulation. Conditional loss of pash-1activity resulted in a reduced rate of ovulation and in basal and ovulatory sheath contractions. Similarly, knockdown of miRNA-specific Argonautes in the cells of the somatic gonad by tissue-specific RNAi results in a reduction of the ovulation rate and in basal and ovulatory sheath contractions. Reduced miRNA pathway gene activity resulted in a range of defects, including oocytes that were pinched upon entry of the oocyte into the distal end of the spermatheca in about 42% of the ovulation events observed following alg-1 RNAi. This phenotype was not observed on worms exposed to control RNAi. In contrast, knockdown of alg-1 and alg-2 in germ cells results in few defects in oocyte maturation and ovulation. These data identify specific steps in the process of ovulation that require miRNA pathway gene activity in the somatic gonad cells
Examining the Impacts of Intrusive Advising on the Retention and Academic Success of First-Year, At-Risk, Community College Students
As degree completion rates have steadily declined nationwide, colleges are exploring student success initiatives for retention purposes. The intrusive advising approach has shown a positive relationship with retention of students from at-risk populations. The purpose of this study was to determine whether intrusive advisement impacted the retention and academic success of underprepared community college students in their first year. This study took place in a mid-sized, suburban, public community college located in New York State. Using a quantitative methodology, this study examined archival data from the fall 2017 student cohort to determine if intrusive advisement had an impact on educational outcomes through comparison of advised and not advised student groups. The results indicated that there is a statistically significant relationship between intrusive advisement and first semester retention. This is true when examining the results of the t-tests and regression analyses. However, intrusive advisement had no significant relationship with other educational outcomes. The results showed that high school grade point average is the strongest predictor for all educational outcomes. Recommendations for practice include: development of an advisement survey, use of early alert software, budget to accommodate staffing for advisement needs, and colleges partnering with local high schools to provide pathways for college. Additionally, the recommendations for future study include: expanding research to multiple community colleges with differing student populations, examining advisement in multiple semesters of study, including part-time and non-traditional students in the research, including the frequency of advisement students receive, and a qualitative study about student’s experiences with intrusive advisement
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