Background: Children with language problems are found to have a higher risk for future academic difficulties and learning disabilities. Conclusions from related literature were in many ways inconsistent.
Objective: To identify systematically, the existing literature, and factors that influence language development in children.
Material And Method: Databases of scientific literature were screened through the internet for publications that involved factors effecting language development in childhood. Hard copies of related scientific journals were also sought for relevant topics by the authors, making use of reference lists of publications, and citation search. Studies were included if they were published since 1984 and investigated factors that affect language development in children. They were excluded if they were not original research articles.
Results: Fifteen studies were included for this review--a case-control study, a cross-sectional study, and thirteen longitudinal studies. Most studies demonstrated that the following factors affect language development--antenatal care, Apgar scores, birth weight, premature delivery, birth order, parental education, environmental factors, gender of the children, and family history with specific language impairment.
Conclusion: Perinatal/postnatal and environmental factors influence language development. Such factors should be taken into account as confounding factors in further language development studies.
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BMC Pregnancy Childbirth
January 2025
Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Utah Health, 30 N. Mario Capecchi Dr., Level 5 South, Salt Lake City, UT, 84132, USA.
Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.
Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
Sci Rep
January 2025
Office for the Advancement of Educational Information, Chengdu Normal University, Chengdu, 610000, China.
In the training of teacher students, simulated teaching is a key method for enhancing teaching skills. However, traditional evaluations of simulated teaching typically rely on direct teacher involvement and guidance, increasing teachers' workload and limiting the opportunities for teacher students to practice independently. This paper introduces a Retrieval-Augmented Generation (RAG) framework constructed using various open-source tools (such as FastChat for model inference and Whisper for speech-to-text) combined with a local large language model (LLM) for audio analysis of simulated teaching.
View Article and Find Full Text PDFInt J Food Microbiol
February 2025
MOST-USDA Joint Research Center for Food Safety and NMPA Key Laboratory for Testing Technology of Pharmaceutical Microbiology, Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, China. Electronic address:
Salmonella is an important foodborne pathogen that poses a significant threat to food safety. This study aims to assess the prevalence, genomic features, and colistin-resistant mechanisms of Salmonella isolates collected from 118 retail pork samples from January 2021 to January 2022 in Shanghai, China. Overall, 46 (39.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
College of Nursing, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Background: TheKeep.Ca was built to facilitate engagement with those experiencing cancer in Manitoba, Canada. Constructed between 2020 and 2024 with a group of patient advisors, the website includes information on engagement activities including research participation, the patient advisor role, and how those experiencing cancer can access these Manitoba activities.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Data and Web Science Group, School of Business Informatics and Mathematics, University of Manneim, Mannheim, Germany.
Background: The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. These models are increasingly integrated into various applications, including mental health support. However, the credibility of LLMs in providing reliable and explainable mental health information and support remains underexplored.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!