This study sought to gather information through a survey of how newcomer parents' beliefs about technology usage and how they engage with technology as they support their children with twenty-first century literacies. Parent respondents ( = 70) were drawn from two publicly funded schools in the Niagara Region, Ontario, Canada, where the population tends to be immigrant, visible minority, with post-secondary education, but unemployed and low income. Descriptive statistics quantified daily technology activities as being communication-oriented with the majority of parents holding distinct beliefs about the amount and type of their children's technology usage. Chi-square tests indicated significant associations for demographic characteristics such as the gender, age, education, first language, and ethnicity of the parents as determinants of their beliefs about their children's technology usage (e.g., social media, mobile phones, television). As well, levels of access and use varied in terms of the number of new technologies and the types of literacy practices that families engage in. Immigrant parents might hold misconceptions about twenty-first century literacies, therefore there should be an attempt to assist them to provide responsive twenty-first century literacy and technology support for their children.
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http://dx.doi.org/10.1007/s10639-020-10188-2 | DOI Listing |
Sci Rep
January 2025
Laboratory of Engineering Profile, Satbayev University, Satbayev St. 22a, 050013, Almaty, Kazakhstan.
Several mechanisms were postulated to reduce drilling problems, improve hole cleaning characteristics, and keep the bit in good condition for the second usage. This study was conducted on Majnoon Field in southeastern Iraq to optimize the bit and drilling parameters. The results indicated that the 16" SFD75D bit proved the preferred bit for both vertical and deviated wells due to its directional capabilities.
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January 2025
Faculty of Engineering, Université de Moncton, Moncton, NB, E1A3E9, Canada.
Diabetes is a growing health concern in developing countries, causing considerable mortality rates. While machine learning (ML) approaches have been widely used to improve early detection and treatment, several studies have shown low classification accuracies due to overfitting, underfitting, and data noise. This research employs parallel and sequential ensemble ML approaches paired with feature selection techniques to boost classification accuracy.
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January 2025
Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4, Szeged, 6720, Hungary.
In our research, we performed temporal transcriptomic profiling of host cells infected with Equid alphaherpesvirus 1 (EHV-1) by utilizing direct cDNA sequencing based on nanopore MinION technology. The sequencing reads were harnessed for transcript quantification at various time points. Viral infection-induced differential gene expression was identified through the edgeR package.
View Article and Find Full Text PDFFood Chem Toxicol
January 2025
School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, Guangdong 510006, China. Electronic address:
Accurately understanding the usage patterns of cosmetics is crucial for realistic exposure assessment. However, reference values for consumer exposure to cosmetics in China have yet to be established. A continuous survey was conducted in Guangdong Province to address this deficiency.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, 519087, China; State Key Laboratory of Wetland Conservation and Restoration, School of Environment, Beijing Normal University, Beijing, 100875, China; Key Laboratory of Coastal Water Environmental Management and Water Ecological Restoration of Guang-dong Higher Education Institutes, Beijing Normal University, Zhuhai, 519087, China.
Since the Industrial Revolution, anthropogenic activities have substantially increased the input of nitrogen (N) and phosphorus (P) into river watersheds, exacerbated by uncertainties stemming from climate change. This study provided a detailed analysis of N and P inputs within the Dawen River Watershed in China from 2000 to 2021. The Net Anthropogenic Nitrogen Input (NANI) and Net Anthropogenic Phosphorus Input (NAPI) methods were used in study, which aimed to investigate how they respond to various climate change factors.
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