Verbal Interactions Among Elementary Students with the Jigsaw II Learning Method

The cooperative learning method, Jigsaw II, was implemented in a grade four social studies class for the purpose of examining the verbal interactions among students as they learned from each other. Jigsaw II is structured to enhance cooperation because each student has exclusive information that is needed by other group members to do well on a test. It was hypothesized that the more capable students in a heterogeneous learning group would help the less capable ones learn the material. As the lower ability students gained proficiency in teaching their information, the variance in the rates of speaking would be less at the end of the implementation of Jigsaw II than at the beginning. This did not happen. There was homogeneity of variance between the rates of speaking at the beginning and the end. The rate of positive verbalizations (learning the information and group functioning) was over 80% at the beginning and increased slightly during the implementation of Jigsaw II, but was not statistically significant. There was large variability in the rates of verbalizations among students, as well as large variability in rates of speaking for individuals across different learning group sessions. Any trends in changes of rates of speaking were obscured by the high variability. The verbalization rate of the high ability students doubled, the rate of the middle ability increased 32% and the rate of low ability students remained unchanged. On five quizzes administered over the learning unit, the high ability student attained the highest quiz scores, but the low ability students performed as well as the middle ability students

High School Students\u27 Attitudes about Firearms Policies

Purpose: To examine high school students’ attitudes about firearm policies and to compare their attitudes with those of adults. Methods: The Hamilton Youth and Guns Poll is the first national survey of high school students about their attitudes concerning firearm policies. Questions were asked of 1005 sophomores, juniors, and seniors about their actual (i.e., direct) exposure (e.g., presence of a gun in the home) and about their social (i.e., indirect) exposure (e.g., whether the student could get a gun) to firearms and related violence. Population weights were applied, and multivariate logistic regression was used to examine the relationship between demographic and exposure variables and opinions about firearm policies. Results: Most high school students supported more restrictive firearm policies. Opinions varied little by demographic variables with the exception of gender. Females were significantly more supportive of most firearm policies. Actual exposure was a more consistent predictor than social exposure. Students living in a home with a gun, particularly a handgun, were less likely to support most restrictive gun policies. Conclusions: Most high school students in the United States favor stringent policies governing firearms. Adolescents\u27 attitudes about firearm policies parallel those of adults

Protein kinase A regulates gene-specific translational adaptation in differentiating yeast

Cellular differentiation is driven by coordinately regulated changes in gene expression. Recent discoveries suggest that translation contributes as much as transcription to regulating protein abundance, but the role of translational regulation in cellular differentiation is largely unexplored. Here we investigate translational reprogramming in yeast during cellular adaptation to the absence of glucose, a stimulus that induces invasive filamentous differentiation. Using ribosome footprint profiling and RNA sequencing to assay gene-specific translation activity genome-wide, we show that prolonged glucose withdrawal is accompanied by gene-specific changes in translational efficiency that significantly affect expression of the majority of genes. Notably, transcripts from a small minority (<5%) of genes make up the majority of translating mRNA in both rapidly dividing and starved differentiating cells, and the identities of these highly translated messages are almost nonoverlapping between conditions. Furthermore, these two groups of messages are subject to condition-dependent translational privilege. Thus the “housekeeping” process of translation does not stay constant during cellular differentiation but is highly adapted to different growth conditions. By comparing glucose starvation to growth-attenuating stresses that do not induce invasive filamentation, we distinguish a glucose-specific translational response mediated through signaling by protein kinase A (PKA). Together, these findings reveal a high degree of growth-state specialization of the translatome and identify PKA as an important regulator of gene-specific translation activity.National Institutes of Health (U.S.) (R01 GM094303

The effects of immersive simulation on targeted collaboration skills among undergraduates in special education

The use of immersive simulation as a pedagogical tool has great potential for making a significant impact on student learning in higher education. In this study, the effect of immersive simulation was evaluated for a cohort of undergraduate special education majors. The investigation aimed to determine whether facilitating an immersive co-planning simulation would have an impact on targeted collaboration skills and whether vicarious observational learning would occur for students who observed the simulation. Pre-service teachers in special education were evaluated by their peers on their ability to demonstrate knowledge of (1) co-teaching and co-planning, (2) professional communication, and (3) supports for students with disabilities. The results indicate that they did a better job of facilitating a co-planning session after having first practiced doing so via immersive simulation during a previous class session. It was also discovered that vicarious observational learning during immersive simulation positively affected performance

Evaluation of CO2, He, C1-C5 gaseous hydrocarbons at an engineered CO2 injection, Cranfield, Mississippi

Bureau of Economic Geolog

Trends in survival of children with severe congenital heart defects by gestational age at birth: A population‐based study using administrative hospital data for England

BACKGROUND: Children with congenital heart defects (CHD) are twice as likely as their peers to be born preterm (<37 weeks' gestation), yet descriptions of recent trends in long-term survival by gestational age at birth (GA) are lacking. OBJECTIVES: To quantify changes in survival to age 5 years of children in England with severe CHD by GA. METHODS: We estimated changes in survival to age five of children with severe CHD and all other children born in England between April 2004 and March 2016, overall and by GA-group using linked hospital and mortality records. RESULTS: Of 5,953,598 livebirths, 5.7% (339,080 of 5,953,598) were born preterm, 0.35% (20,648 of 5,953,598) died before age five and 3.6 per 1000 (21,291 of 5,953,598) had severe CHD. Adjusting for GA, under-five mortality rates fell at a similar rate between 2004-2008 and 2012-2016 for children with severe CHD (adjusted hazard ratio [HR] 0.79, 95% CI 0.71, 0.88) and all other children (HR 0.78, 95% CI 0.76, 0.81). For children with severe CHD, overall survival to age five increased from 87.5% (95% CI 86.6, 88.4) in 2004-2008 to 89.6% (95% CI 88.9, 90.3) in 2012-2016. There was strong evidence for better survival in the ≥39-week group (90.2%, 95% CI 89.1, 91.2 to 93%, 95% CI 92.4, 93.9), weaker evidence at 24-31 and 37-38 weeks and no evidence at 32-36 weeks. We estimate that 51 deaths (95% CI 24, 77) per year in children with severe CHD were averted in 2012-2016 compared to what would have been the case had 2004-2008 mortality rates persisted. CONCLUSIONS: Nine out of 10 children with severe CHD in 2012-2016 survived to age five. The small improvement in survival over the study period was driven by increased survival in term children. Most children with severe CHD are reaching school age and may require additional support by schools and healthcare services

Evaluation of commonly used ectoderm markers in iPSC trilineage differentiation.

Patient-derived induced pluripotent stem cells (iPSCs) have become a promising resource for exploring genetics of complex diseases, discovering new drugs, and advancing regenerative medicine. Increasingly, laboratories are creating their own banks of iPSCs derived from diverse donors. However, there are not yet standardized guidelines for qualifying these cell lines, i.e., distinguishing between bona fide human iPSCs, somatic cells, and imperfectly reprogrammed cells. Here, we report the establishment of a panel of 30 iPSCs from CD34+ peripheral blood mononuclear cells, of which 10 were further differentiated in vitro into all three germ layers. We characterized these different cell types with commonly used pluripotent and lineage specific markers, and showed that NES, TUBB3, and OTX2 cannot be reliably used as ectoderm differentiation markers. Our work highlights the importance of marker selection in iPSC authentication, and the need for the field to establish definitive standard assays

Resampling-Based Multiple Hypothesis Testing with Applications to Genomics: New Developments in the R/Bioconductor Package multtest

The multtest package is a standard Bioconductor package containing a suite of functions useful for executing, summarizing, and displaying the results from a wide variety of multiple testing procedures (MTPs). In addition to many popular MTPs, the central methodological focus of the multtest package is the implementation of powerful joint multiple testing procedures. Joint MTPs are able to account for the dependencies between test statistics by effectively making use of (estimates of) the test statistics joint null distribution. To this end, two additional bootstrap-based estimates of the test statistics joint null distribution have been developed for use in the package. For asymptotically linear estimators involving single-parameter hypotheses (such as tests of means, regression parameters, and correlation parameters using t-statistics), a computationally efficient joint null distribution estimate based on influence curves is now also available. New MTPs implemented in multtest include marginal adaptive procedures for control of the false discovery rate (FDR) as well as empirical Bayes joint MTPs which can control any Type I error rate defined as a function of the numbers of false positives and true positives. Examples of such error rates include, among others, the family-wise error rate and the FDR. S4 methods are available for objects of the new class EBMTP, and particular attention has been given to reducing the need for repeated resampling between function calls