Reading-related skills of kindergarteners from diverse linguistic backgrounds

This study examined whether measures used to identify children at risk for reading failure are appropriate for children from different language backgrounds. Tasks assessing literacy and phonological and language processing at the beginning and end of kindergarten were administered to 540 native English speakers (NS), 59 bilingual children (BL), and 60 children whose initial exposure to English was when they began school (ESL). Although the BL and ESL children performed more poorly than the NS children on most measures of phonological and linguistic processing, the acquisition of basic literacy skills for children with different language backgrounds developed in a similar manner. Furthermore, planned contrasts between the language groups did not explain the variance in the children’s literacy performance in May. Instead, alphabetic knowledge and phonological processing were important contributors to early reading skill. Therefore, children learning English may acquire literacy skills in English in a similar manner to NS children, although their alphabetic knowledge may precede and facilitate the acquisition of phonological awareness in English

Data Exploration, Quality Control and Testing in Single-Cell qPCR-Based Gene Expression Experiments

Cell populations are never truly homogeneous; individual cells exist in biochemical states that define functional differences between them. New technology based on microfluidic arrays combined with multiplexed quantitative polymerase chain reactions (qPCR) now enables high-throughput single-cell gene expression measurement, allowing assessment of cellular heterogeneity. However very little analytic tools have been developed specifically for the statistical and analytical challenges of single-cell qPCR data. We present a statistical framework for the exploration, quality control, and analysis of single-cell gene expression data from microfluidic arrays. We assess accuracy and within-sample heterogeneity of single-cell expression and develop quality control criteria to filter unreliable cell measurements. We propose a statistical model accounting for the fact that genes at the single-cell level can be on (and for which a continuous expression measure is recorded) or dichotomously off (and the recorded expression is zero). Based on this model, we derive a combined likelihood-ratio test for differential expression that incorporates both the discrete and continuous components. Using an experiment that examines treatment-specific changes in expression, we show that this combined test is more powerful than either the continuous or dichotomous component in isolation, or a t-test on the zero-inflated data. While developed for measurements from a specific platform (Fluidigm), these tools are generalizable to other multi-parametric measures over large numbers of events.Comment: 9 pages, 5 figure

ADVANCED 3D TECHNOLOGY IN SUPPORT OF THE BIM PROCESSES IN THE CULTURAL HERITAGE: IN-DEPTH ANALYSIS OF THE CASE STUDY OF THE ROMAN FLUVIAL PORT OF AQUILEIA (ITALY)

Abstract. Advanced 3D technology, in line with the directives of the European Commission's Reflective 7 - Horizon 2020 project, allows to represent in an organized and accurate way (geometrically and chromatically speaking) any type of artefact belonging to the Cultural Heritage. This article will deal with the specific case-study of the research carried out in the archaeological site of the Roman fluvial port of Aquileia, in collaboration with the University of Trieste. Thirtysix MA Architecture students attending the experimental course in "Technologies for the conservation and enhancement of architectural heritage" were involved. The Advanced 3D model of the fluvial port was conveniently divided into 15 sectors, in order to allow the assignment of each sector to a different group of students. The students, using the tools provided by the proprietary EasyCUBE PRO software, were able to create a digital database with an accurate 3D representation of all types of degradation affecting the archaeological structures existing in situ. Starting from the digital database, the students created a report containing the surfaces, volumes, count of the specific elements and all the other textual and graphical data related to the degradation processes. The collected data allowed to produce a metric estimate of the restoration intervention and to realize visual simulations of the post-intervention result. This experience gave the chance to evaluate the advantages of creating a digital database of 3D representations of the various forms of degradation, also in terms of possible future developments.</p

Deviation of behavioural and productive parameters in dairy cows due to a lameness event: a synthesis of reviews

Lameness is a widespread multifactorial condition affecting the health and performance of dairy cows. Despite the growing support by precision farming technologies, farmers still lack reliable data-driven tools to early identify lame cows. This study used a synthesis of reviews to identify cow’s behavioural and productive parameters most related to lameness and estimate their deviation due to a lameness event. The methodological approach used reviews as starting point to identify the most pertinent studies with the intention of extracting and analysing data from these primary studies. The final dataset used information collected from 31 research papers, cited in 15 reviews, and involved more than 25,000 dairy cows. Five parameters were suitable for the meta-analysis: one about eating behaviour (eating time), three regarding activity and resting behaviour (lying bouts, lying bout duration and lying time) and milk yield. The meta-analysis revealed that all parameters had a significant deviation in cows affected by lameness. The calculation of the pooled means allowed to quantify a mean value for the deviation imposed by a severe lameness event from the value recorded on nonlame cows. Compared to a nonlame animal, a lame cow had a significant negative deviation for eating time (−39 min/day), number of lying bouts (−0.5/day), and milk yield (−3 kg/day). Lame cows had positive deviations for lying bout duration (+12 min/bout) and daily lying time (+42 min/day). The individual or combined use of these mean deviation values as alarm reference thresholds could improve the accuracy of the current automated lameness detection systems

growth performance and behaviour of finishing beef cattle illegally treated with growth promoters

The study aimed at evaluating growth performance, feeding and social behaviour of finishing beef cattle treated with Dexamethasone per os alone or in association with Estradiol. Twenty-four French cross-bred beef bulls were allotted to 3 balanced treatment groups: Control (C); Dexamethasone (D) and Dexamethasone + Estradiol (D+E). All the bulls received the same diet and the experimental period lasted 43 days. All the productive traits and eating behaviour were similar among treatments. Bulls provided with D+E showed a prolonged rumination during the 8 h following diet distribution but this behaviour was partially performed in standing position, since lying was significantly reduced in both treated groups as compared to Control. However, difference in behaviour were too limited to be considered a reliable indicator of these illegal treatments

Examining the effectiveness of technology use in classrooms: A tertiary meta-analysis

Identifying effective literacy instruction programs has been a focal point for governments, educators and parents over the last few decades (Ontario Ministry of Education, 2004, 2006; Council of Ontario Directors of Education, 2011). Given the increasing use of computer technologies in the classroom and in the home, a variety of information communication technology (ICT) interventions for learning have been introduced. Meta-analyses comparing the impact of these programs on learning, however, have yielded inconsistent findings (Andrews, Freeman, Hou, McGuinn, Robinson, & Zhu, 2007; Slavin, Cheung, Groff, & Lake, 2008; Slavin, Lake, Chambers, Cheung, & Davis, 2009; Torgerson & Zhu, 2003). The present tertiary meta-analytic review re-assesses outcomes presented in three previous meta-analyses. Four moderator variables assessed the impact of the systematic review from which they were retrieved, training and support, implementation fidelity and who delivered the intervention (teacher versus researcher). Significant results were found when training and support was entered as a moderator variable with the small overall effectiveness of the ICTs (ES = 0.18), similar to those found in previous research, increasing significantly (ES = 0.57). These findings indicate the importance of including implementation factors such as training and support, when considering the relative effectiveness of ICT interventions