Community-engaged artificial intelligence research: A scoping review. by Tyler J Loftus, Jeremy A Balch, Kenneth L Abbott, Die Hu, Matthew M Ruppert, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Philip A Efron, Patrick J Tighe, William R Hogan, Parisa Rashidi, Michelle I Cardel, Gilbert R Upchurch, Azra Bihorac

“…Only one article described inclusion of community stakeholders in designing an application-a natural language processing model that detected cases of likely child abuse with 90% accuracy using harmonized electronic health record notes from both hospital and community practice settings. …”
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Niqivut (our food)—dimensions of Inuit country food harvesting and significance in Arctic Canada: bountiful, seasonal, “soul food” by Natalie Ann Carter, Nicolien van Luijk, Jackie Dawson, Colleen Parker, Kayla Grey, Jennifer Provencher, Chantel Emiktaut, Natasha Simonee, Gloria Song, Sonia Wesche

“…This study highlights the cultural significance and benefits (nutritional, medicinal, mental health, connection to culture, and language) of country food; and reinforces that harvesting, processing, sharing, and eating country food are fundamental aspects of Inuit culture, wellbeing, and food sovereignty.…”
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RADIO PLAYS AS A SPECIAL GENRE IN THE WORK OF E. JELINEK by Tatiana V. Akasheva, Alexandra D. Zharkova

“…Jelinek's work, when reading Austrian fiction for its deeper interpretation, as well as when teaching students German as a foreign language.…”
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Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data by Johnny Downs, Robert Stewart, Alice Wickersham, Sumithra Velupillai, Lucile Ter-Minassian, Natalia Viani, Lauren Cross

“…Using a unique linked health and education data resource, we examined how machine learning (ML) approaches can predict risk of ADHD.Design Retrospective population cohort study.Setting South London (2007–2013).Participants n=56 258 pupils with linked education and health data.Primary outcome measures Using area under the curve (AUC), we compared the predictive accuracy of four ML models and one neural network for ADHD diagnosis. Ethnic group and language biases were weighted using a fair pre-processing algorithm.Results Random forest and logistic regression prediction models provided the highest predictive accuracy for ADHD in population samples (AUC 0.86 and 0.86, respectively) and clinical samples (AUC 0.72 and 0.70). …”
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Investigating Pre-Service Efl Teachers’ Self-Efficacy Beliefs by Eda Ercan Demirel

“…With a quantitative research design, the study was conducted on pre-service English language teachers yet studying at ELT departments to have their BA degrees at Necmettin Erbakan University, and Gazi University. …”
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Distribution of trial registry numbers within full-text of PubMed Central articles: implications for linking trials to publications and indexing trial publication types by Arthur M. Holt, Ang Michael Troy, Neil R. Smalheiser

“…A variety of natural language processing (NLP)-based and machine learning-based models have been developed to assist users in identifying these connections. …”
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Cerebrospinal fluid metabolites as potential biomarkers for epilepsy: Insights from genome‐wide association studies by Zhenxiang Zhao, Na Xing, Lin Hou

“…Significance This study highlights CSF metabolites that could serve as valuable biomarkers and may be critical in developing targeted treatments and preventing epilepsy. Plain Language Summary This study explores how certain chemicals in the brain fluid might influence the development of epilepsy, aiming to find new ways to treat or prevent it. …”
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An Isolated Phlebolith on the Lip: An Unusual Case and Review of the Literature by Gabriela de Morais Gouvêa Lima, Renata Mendonça Moraes, Ana Sueli Rodrigues Cavalcante, Yasmin Rodarte Carvalho, Ana Lia Anbinder

“…Furthermore, we have reviewed the English-language literature published since 1970 reporting oral (including masticatory muscles) phleboliths. …”
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Visuo-motor response of students living in areas of military threat by Vasyl Lutskyi, Sergii Iermakov, Iryna Kryventsova

“…For statistical analysis, the PyCharm CE development environment and various Python programming language libraries were used. Results. Differences in average visuo-motor reaction metrics were established among students from three universities. …”
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Childbirth experience assessment tools based on COSMIN guidelines: A systematic review by Yifan Cheng, Ruxue Bai, Siyu Shan, Xinmiao Zhao, Chunling Xia

“…Result: A total of 15 studies were included to evaluate the psychometric properties of 11 childbirth experience assessment tools (including different language versions). Eight studies’ methodological quality of content validity was doubtful, and the remaining studies did not report content validity. …”
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Performance of current tools used for on-the-day assessment and diagnosis of mild traumatic brain injury in sport: a systematic review by Phoebe Haste, Leonardo de Almeida e Bueno, Antoine Jérusalem, Jeroen Bergmann

“…This systematic review summarises the current monitoring tools used for on-the-day assessment and diagnosis of SR-mTBI and their performance.Design Systematic review, using Quality Assessment of Diagnostic Accuracy Studies assessment.Data sources Embase via Ovid, IEEEXplore, Medline via Ovid, Scopus and Web of Science were searched up to June 2024.Eligibility criteria Peer-reviewed English-language journal articles which measured athletes using the index test within a day of injury and provided a performance measure for the method used. …”
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Dietary pattern and risk of thyroid cancer: a systematic review and meta-analysis protocol by Kleyton Santos Medeiros, Jose Brandao-Neto, Yasmin Guerreiro Nagashima, Aline Alves Soares, Camila Xavier Alves, Marcia Marilia Gomes Dantas Lopes

“…This protocol aims to guide a systematic review and meta-analysis of the literature to search for an association between dietary pattern and risk of thyroid cancer.Methods and analysis The databases to search for observational studies will be PubMed, Embase, Scopus, Web of Science and LILACS, from inception to 10 December 2024. No language limitation or publication period will be imposed. …”
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Development of algorithm for calculation of operation and repair efficiency of a plate heat exchanger by S. M. Chekardovsky, K. N. Ilyukhin, A. A. Melekhin, M. N. Chekardovsky

“…The web application ntcseis.ru based on the Ukit programming language can be used as an implementation of the calculation of the exergy efficiency of a plate heat exchanger.Results. …”
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Modlitební knihy jako pramen k obrazu zbožnosti a genderovým konstruktům 19. století by Zuzana Čevelová

“…Prayer books as such can help research into the development of language culture, how foreign examples were adopted, and, last but not least, provide an insight into the universality of the stance of the Catholic Church. …”
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Qualitative systematic review on the lived experience of functional neurological disorder by Loyola McLean, Andrea Szasz, Anthony Korner

“…Methods From 1980 to 2020, Medline, PsycInfo, Scopus, Science Direct, PubMed, CINAHL and Embase were searched for English language qualitative adult research. The disciplines used general medicine, psychiatry, physiotherapy, nursing, neurology, psychosomatic medicine and occupational therapy. …”
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Understanding Rett Syndrome: Genetic, clinical and therapeutic perspectives - literature review by Sylwia Urbańska, Aleksandra Witas, Martyna Borowska-Łygan, Justyna Pięta

“…The diagnosis is confirmed by clinical criteria such as complete loss of acquired targeted hand skills, spoken language, gait abnormalities and confirmation of the mutation in the MECP2 gene. …”
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VISUAL DIDACTIC REGULATORS OF LOGICAL-SEMANTIC TYPE by V. E. Shteinberg, N. N. Manko

“…The research methodology includes the concept of logical and semantic modeling of knowledge presented in natural language, and the concept of orienting bases of actions in teaching. …”
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Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach by Tianxi Dong, Qiwei Yang, Nima Ebadi, Xin Robert Luo, Paul Rad

“…Then, we take an open-source natural language model, which is well trained with a large corpus of Wikipedia texts, as the baseline and fine-tune it with the texts in incident reports to make it more suited to our specific research task. …”
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Statistical Analysis of Public Sentiment on the Ghanaian Government: A Machine Learning Approach by John Andoh, Louis Asiedu, Anani Lotsi, Charlotte Chapman-Wardy

“…Gathering public opinions on the Internet and Internet-based applications like Twitter has become popular in recent times, as it provides decision-makers with uncensored public views on products, government policies, and programs. Through natural language processing and machine learning techniques, unstructured data forms from these sources can be analyzed using traditional statistical learning. …”
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Effects of project-based learning on EFL learners' writing performance. by Abebaw Andargie, Dawit Amogne, Ebabu Tefera

“…Connecting language classrooms with 21st-century skills could be the potential framework for enhancing EFL learners' performance in writing classes. …”
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