Resultados de búsqueda - Learning problems

Psychometric properties of the needs scale for families of adults with intellectual disabilities, Colombian version. por Sthefanía Muñoz-Gómez, Diana, Eugenia Cabrera-García, Victoria, Lucia Aya-Gómez, Viviana

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The relationship between learning style, thinking and critical thinking tendency with lifestyle improvement in controlling cardiovascular diseases in medical students of Islamic Az... por Behzadi, Soudabeh, Momennasab, Marzieh

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Cognitive performance of preschoolers with Congenital Hypothyroidism enrolled in a follow-up program. por Caporal, Paula, Vásquez-Hoyos, Pablo, Díaz, Franco, Monteverde-Fernández, Nicolás, Pedrozo, Luis, Carvajal, Cristóbal, Rotta, Alexandre Tellechea, González-Dambrauskas, Sebastián, Network, LARed

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Exploring nursing faculty, managers, newly graduated nurses, and students' experiences of nursing internship program implementation in Iran: a descriptive qualitative study. por Shahzeydi, Amir, Taleghani, Fariba, Moghimian, Maryam, Farzi, Sedigheh, Yazdannik, Ahmadreza, Farzi, Kolsoum

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The clinical correlates of the chair sit to stand performance in people with multiple sclerosis. por Khalil, Hanan, Rehan, Reem, Al-Sharman, Alham, El-Salem, Khalid

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The Impact of Education and Implementation Tools on Pre-Service Teachers' Attitudes About Classroom-Based Mindfulness. por Munk, Kirsten, Rosenblum, Ruth, Blackburn, Samantha, Donahue, Eden

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Association between socioeconomic status and academic performance in children and adolescents with chronic kidney disease. por Khalid, Rabia, Van Zwieten, Anita, Kim, Siah, Didsbury, Madeleine, Francis, Anna, Mctaggart, Steven, Walker, Amanda, Mackie, Fiona E., Prestidge, Chanel, Teixeira-Pinto, Armando, Barton, Belinda, Lorenzo, Jennifer, Lah, Suncica, Howard, Kirsten, Nassar, Natasha, Au, Eric, Tong, Allison, Blazek, Katrina, Craig, Jonathan C., Wong, Germaine

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Machine Learning Techniques Outperform Conventional Statistical Methods in the Prediction of High Risk QTc Prolongation Related to a Drug-Drug Interaction. por Van Laere, Sven, Muylle, Katoo M., Dupont, Alain G., Cornu, Pieter

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DataSifterText: Partially Synthetic Text Generation for Sensitive Clinical Notes. por Zhou, Nina, Wu, Qiucheng, Wu, Zewen, Marino, Simeone, Dinov, Ivo D.

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Using Project-Based Learning to Teach Advanced Practice Nurses About Quality Improvement. por McDermott, Jaime

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Integrated Bayesian and association-rules methods for autonomously orienting COVID-19 patients. por Thaljaoui, Adel, Khediri, Salim El, Benmohamed, Emna, Alabdulatif, Abdulatif, Alourani, Abdullah

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teacher professional development programme to enhance students' critical health literacy through school-based health and physical education programmes. por Peralta, Louisa R, Cinelli, Renata L, Marvell, Claire L, Nash, Rosie

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RAD-UNet: a Residual, Attention-Based, Dense UNet for CT Sparse Reconstruction. por Qiao, Zhiwei, Du, Congcong

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FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection. por Rajeswari, R., Gampala, Veerraju, Maram, Balajee, Cristin, R.

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Impairments in goal-directed action and reversal learning in a proportion of individuals with psychosis. por Suetani, Shuichi, Baker, Andrea, Garner, Kelly, Cosgrove, Peter, Mackay-Sim, Matilda, Siskind, Dan, Murray, Graham K, Scott, James G, Kesby, James P.

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The association between access to emergency respite and hospital admission: A longitudinal, cohort case register study. por Patil, Dipti, Hall, Abigail, Hasan, Syeda, Pye, Holly, Lonergan, Paul, Bowker, Lindsay, Bethina, Laxmiram, Morris, Rohan

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The experiences of sepsis in people with a learning disability—a qualitative investigation. por Grant, Nerissa, Hewitt, Olivia, Ash, Katie, Knott, Fiona

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Community Partnerships to Support Women of Color Breast Cancer Survivors. por Knobf, M. Tish, Erdos, Diane

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Quantitative CT and machine learning classification of fibrotic interstitial lung diseases. por Koo, Chi Wan, Williams, James M., Liu, Grace, Panda, Ananya, Patel, Parth P., Frota Lima, Livia Maria M., Karwoski, Ronald A., Moua, Teng, Larson, Nicholas B., Bratt, Alex

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Automated segmentation of whole-body CT images for body composition analysis in pediatric patients using a deep neural network. por Lee, Seul Bi, Cho, Yeon Jin, Yoon, Soon Ho, Lee, Yun Young, Kim, Soo-Hyun, Lee, Seunghyun, Choi, Young Hun, Cheon, Jung-Eun

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