This study investigates the concurrent predictors of adolescent reading comprehension (literal, inferential) for fiction and non-fiction texts. Predictors were examined from the cognitive (word identification, reading fluency), psychological (gender), and ecological (print exposure) domains. Print exposure to traditional and digital texts was surveyed using a diary method of reading habits. A cross-sectional sample of 312 students in early (11-13 years) or middle adolescence (14-15 years) participated from a range of SES backgrounds. Word identification emerged as a strong predictor of reading comprehension across adolescence and text genres. Gender effects favouring female students were evident for reading frequency but not for reading skill itself. Reading habits also differed, and comprehension advantages were observed among females for fiction and males for non-fiction. Age effects emerged for reading frequency, which was lower in middle adolescence. Although more time was spent on digital than on traditional texts, traditional extended text reading was the only reading habit to predict inference-making in comprehension and to distinguish skilled from less skilled comprehenders. The theoretical and educational implications of these results are discussed.
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Nat Commun
January 2025
European Research Institute for the Biology of Ageing, University Medical Center Groningen, Groningen, Netherlands.
While the effect of amplification-induced oncogene expression in cancer is known, the impact of copy-number gains on "bystander" genes is less understood. We create a comprehensive map of dosage compensation in cancer by integrating expression and copy number profiles from over 8000 tumors in The Cancer Genome Atlas and cell lines from the Cancer Cell Line Encyclopedia. Additionally, we analyze 17 cancer open reading frame screens to identify genes toxic to cancer cells when overexpressed.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
School of Psychological Sciences, University of Haifa, Haifa, Israel.
Cognitive training is a promising intervention for psychological distress; however, its effectiveness has yielded inconsistent outcomes across studies. This research is a pre-registered individual-level meta-analysis to identify factors contributing to cognitive training efficacy for anxiety and depression symptoms. Machine learning methods, alongside traditional statistical approaches, were employed to analyze 22 datasets with 1544 participants who underwent working memory training, attention bias modification, interpretation bias modification, or inhibitory control training.
View Article and Find Full Text PDFCureus
December 2024
Cardiology, Pakistan Navy Station Shifa, Karachi, PAK.
Transcatheter aortic valve implantation (TAVI) involves complex decisions regarding perioperative anticoagulation, with continuation or interruption of oral anticoagulation presenting distinct risks and benefits. This systematic review and meta-analysis compared the clinical outcomes of these two strategies during TAVI. We conducted a comprehensive literature search across multiple electronic databases, including PubMed, Embase, Cochrane Library, and Web of Science, from inception to November 2024.
View Article and Find Full Text PDFCureus
December 2024
Internal Medicine, Medical Teaching Institution (MTI) Hayatabad Medical Complex, Peshawar, PAK.
Background: Malaria and dengue are significant mosquito-borne diseases prevalent in tropical and subtropical climates, with increasing reports of co-infections. This study aimed to determine the frequency, patterns, and risk factors of these co-infections in Peshawar.
Methods: A cross-sectional study was conducted from June to December 2023 in three tertiary care hospitals in Peshawar.
PeerJ
January 2025
Anesthesiology and Reanimation, Central Clinical Hospital, Baku, Azerbaijan.
Background: Patients who are informed about the causes, pathophysiology, treatment and prevention of a disease are better able to participate in treatment procedures in the event of illness. Artificial intelligence (AI), which has gained popularity in recent years, is defined as the study of algorithms that provide machines with the ability to reason and perform cognitive functions, including object and word recognition, problem solving and decision making. This study aimed to examine the readability, reliability and quality of responses to frequently asked keywords about low back pain (LBP) given by three different AI-based chatbots (ChatGPT, Perplexity and Gemini), which are popular applications in online information presentation today.
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