Literatura académica sobre el tema "Maternal learning"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Maternal learning".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Maternal learning"
Larsen, Gregory D. "Oxytocin encourages maternal learning". Lab Animal 44, n.º 6 (19 de mayo de 2015): 191. http://dx.doi.org/10.1038/laban.792.
Texto completoCatling-Paull, Christine, Nolan McDonnell, Alison Moores y Caroline S. E. Homer. "Maternal mortality in Australia: Learning from maternal cardiac arrest". Nursing & Health Sciences 13, n.º 1 (17 de febrero de 2011): 10–15. http://dx.doi.org/10.1111/j.1442-2018.2011.00578.x.
Texto completoFletcher, Barbara. "Maternal Expectations of Preschool Learning". National Association of Early Childhood Teacher Educators Bulletin 10, n.º 2 (abril de 1989): 5–6. http://dx.doi.org/10.1080/23752599.1989.11090057.
Texto completoAntshel, Kevin M. y Guy-Ronald Joseph. "Maternal Stress in Nonverbal Learning Disorder". Journal of Learning Disabilities 39, n.º 3 (mayo de 2006): 194–205. http://dx.doi.org/10.1177/00222194060390030101.
Texto completoDarland, Nancy Wilson y Tanya Sims. "Service Learning: Maternal/Newborn Community Outreach". Journal of Obstetric, Gynecologic & Neonatal Nursing 39 (septiembre de 2010): S52. http://dx.doi.org/10.1111/j.1552-6909.2010.01121_6.x.
Texto completoRaineki, C., A. Pickenhagen, T. L. Roth, D. M. Babstock, J. H. McLean, C. W. Harley, A. B. Lucion y R. M. Sullivan. "The neurobiology of infant maternal odor learning". Brazilian Journal of Medical and Biological Research 43, n.º 10 (octubre de 2010): 914–19. http://dx.doi.org/10.1590/s0100-879x2010007500090.
Texto completoEvans, Sheila y Janet Jeffrey. "Maternal Learning Needs During Labor and Delivery". Journal of Obstetric, Gynecologic & Neonatal Nursing 24, n.º 3 (marzo de 1995): 235–40. http://dx.doi.org/10.1111/j.1552-6909.1995.tb02468.x.
Texto completoPilcher, Jobeth. "Learning Preferences Among Neonatal and Maternal Child Nurses". Neonatal Network 32, n.º 2 (2013): 117–19. http://dx.doi.org/10.1891/0730-0832.32.2.117.
Texto completoGeum, kyung hee y young a. Cho. "Scale Development of the Maternal Learning Involvement Behavior". Korean Association For Learner-Centered Curriculum And Instruction 18, n.º 22 (30 de noviembre de 2018): 249–74. http://dx.doi.org/10.22251/jlcci.2018.18.22.249.
Texto completoAbate, Paula, Marta Yanina Pepino, Hector Daniel Dominguez, Norman E. Spear y Juan Carlos Molina. "Fetal Associative Learning Mediated Through Maternal Alcohol Intoxication". Alcoholism: Clinical and Experimental Research 24, n.º 1 (enero de 2000): 39–47. http://dx.doi.org/10.1111/j.1530-0277.2000.tb04551.x.
Texto completoTesis sobre el tema "Maternal learning"
Beck, Alexandra. "Maternal expressed emotion towards children with and without learning disabilities". Thesis, University of Southampton, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273879.
Texto completoDixon, Wallace E. Jr, Brenda J. Salley y Andrea D. Clements. "Temperament, Distraction, and Learning in Toddlerhood". Digital Commons @ East Tennessee State University, 2006. https://dc.etsu.edu/etsu-works/4900.
Texto completoElwood, Terril Joy. "Maternal linguistic input to normal and expressive language delayed toddlers". PDXScholar, 1989. https://pdxscholar.library.pdx.edu/open_access_etds/3864.
Texto completoWarner-Metzger, C., B. C. Reed, John Paul Abner, Janet Todd y Michele R. Moser. "PCIT training: Applying a Learning Collaborative Model". Digital Commons @ East Tennessee State University, 2011. https://dc.etsu.edu/etsu-works/4978.
Texto completoHerrington, Joshua A. "Elevated Progesterone In Yolk As a Moderator of Prenatal and Postnatal Auditory Learning in Bobwhite Quail". FIU Digital Commons, 2014. http://digitalcommons.fiu.edu/etd/1422.
Texto completoDixon, Wallace E. Jr, Allison Lowe, Betsy Caldwell, Hannah Lawman y Andrea Clements. "Temperament Moderates Novel Word Learning at 15 Months". Digital Commons @ East Tennessee State University, 2008. https://dc.etsu.edu/etsu-works/4939.
Texto completoDixon, Wallace E. Jr, K. Lingerfelt, R. Russell y Andrea D. Clements. "Temperament Moderates the Learning of Pretend Play Sequences at 15 Months". Digital Commons @ East Tennessee State University, 2009. https://dc.etsu.edu/etsu-works/4933.
Texto completoAquino, Juliana Maria de. "O efeito da família sobre o desempenho educacional da criança: uma análise do ensino fundamental brasileiro". Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/96/96131/tde-28042008-163614/.
Texto completoRecently, education has been examined by many studies, which reflects its great importance in the context of a nation. The analysis of the educational issue usually involves two aspects: school attendance and quality of education. With regard to Brazilian school attendance, it is known that this variable has had success over the last decade; however, the same can not be said about de quality of educational system. The aim of this research is to analyze the determinants of academic performance of Brazilian children, focusing on the family. The approach will analyze the impact of maternal labor on child educational performance and the role of the family in child school activities. The first study uses data from two sub-samples of Pesquisa Mensal de Emprego (PME), referring to periods from 1986 to 1995 and from 2002 to 2006. In the second approach, will be used data from Sistema Nacional de Avaliação da Educação Básica (SAEB) of 2005, where will be examined the students performance of the fourth series of primary school. The results, in general, show that family factors were relevant for child school performance, considering the negative effect of maternal employment and the positive effects of some variables of investment and family interaction.
Spensley, Sheila Ross. "A comparative study of maternal attachment in three groups of mothers having a child with learning impairment". Thesis, University College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271504.
Texto completoGeddes, Heather. "Attachment and learning : an investigation into links between maternal attachment experience, reported life events, behaviour causing concern at referral and difficulties in the learning situation". Thesis, University of Surrey, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.484168.
Texto completoLibros sobre el tema "Maternal learning"
Indra, Pathmanathan y Liljestrand Jerker, eds. Investing in maternal health: Learning from Malaysia and Sri Lanka. Washington, D.C: World Bank, 2003.
Buscar texto completoA, Koblinsky Marjorie, ed. Reducing maternal mortality: Learning from Bolivia, China, Egypt, Honduras, Indonesia, Jamaica, and Zimbabwe. Washington, DC: World Bank, 2003.
Buscar texto completoMalenfant, Sylvie A. The N-methyl-D-aspartate receptor system mediates spatial learning but not maternal experience effects. Ottawa: National Library of Canada, 1990.
Buscar texto completo1957-, McManus Karen y Woodward Lynn, eds. Medication in maternity: Infant exposure and maternal information. Ann Arbor: University of Michigan Press, 1985.
Buscar texto completoGeddes, Heather. Attachment and learning: An investigation into links between maternal attachment experience, reported life events, behaviour causing concern at referral and difficulties in the learning situation. [Guildford]: [University of Surrey], 1999.
Buscar texto completoRose, Lorraine. Learning to love: The developing relationships between mother, father, and baby during the first year. Camberwell, Victoria [Australia]: ACER Press, 2000.
Buscar texto completoSuffocating mothers: Fantasies of maternal origin in Shakespeare's plays, Hamlet to the Tempest. New York: Routledge, 1992.
Buscar texto completoMinett, P. M. The seashore: Learning support material. Stokesby: Stokesby House Publications, 1997.
Buscar texto completoRourke, Adrianne. Improving visual teaching materials. Hauppauge, N.Y: Nova Science Publishers, 2009.
Buscar texto completoClarke, Adrienne. Study skills and learning materials: Open learning pack. [London]: University of North London, Business School, 1996.
Buscar texto completoCapítulos de libros sobre el tema "Maternal learning"
Rodríguez, Eugenia Arrieta, Francisco Edna Estrada, William Caicedo Torres y Juan Carlos Martínez Santos. "Early Prediction of Severe Maternal Morbidity Using Machine Learning Techniques". En Lecture Notes in Computer Science, 259–70. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47955-2_22.
Texto completoAngelucci, L., F. R. Patacchioli, S. Scaccianoce y A. Di Sciullo. "Maternal Corticoids During Perinatal Life Influence Hippocampus-Dependent Behavioral and Endocrine Responses in the Adult Rat". En Brain Plasticity, Learning, and Memory, 543. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-5003-3_53.
Texto completoDas, Amarendra. "Turnaround in Maternal and Child Healthcare: Institutional Innovation and Interactive Learning". En India Studies in Business and Economics, 157–81. New Delhi: Springer India, 2020. http://dx.doi.org/10.1007/978-81-322-3929-1_8.
Texto completoRyan, Nessa y Ann E. Kurth. "Therapeutic Management of Obstetric Fistula: Learning from Implementation of Insertable Devices to Improve the Health and Well-being of Women and Girls in Low- and Middle-Income Countries". En Global Maternal and Child Health, 319–35. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06314-5_22.
Texto completoPrema, N. S. y M. P. Pushpalatha. "Machine Learning Approach for Preterm Birth Prediction Based on Maternal Chronic Conditions". En Lecture Notes in Electrical Engineering, 581–88. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5802-9_52.
Texto completoAslin, R. N. "Segmentation of Fluent Speech into Words: Learning Models and the Role of Maternal Input". En Developmental Neurocognition: Speech and Face Processing in the First Year of Life, 305–15. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-015-8234-6_25.
Texto completoArrieta Rodríguez, Eugenia, Fernando López-Martínez y Juan Carlos Martínez Santos. "A Machine Learning Approach for Severe Maternal Morbidity Prediction at Rafael Calvo Clinic in Cartagena-Colombia". En Computer Information Systems and Industrial Management, 208–19. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47679-3_18.
Texto completoHurtado, Elena, Lilian Ramírez y Pablo Moreira. "Addressing Behavior Change in Maternal, Neonatal, and Child Health with Quality Improvement and Collaborative Learning Methods in Guatemala". En Improving Health Care in Low- and Middle-Income Countries, 27–42. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43112-9_3.
Texto completoHatzikraniotis, Euripides y Theodora Kyratsi. "Materials Science: Trends, Material Properties and Educational Perspectives". En Iterative Design of Teaching-Learning Sequences, 75–100. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-007-7808-5_5.
Texto completoBaker, John P. "Learning Materials". En Leadership in Psychiatry, 253–59. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118569948.ch22.
Texto completoActas de conferencias sobre el tema "Maternal learning"
Xiao, Xiaowen. "Maternal Grandparent Mediates Parental Impact on Child Math Learning". En 2021 AERA Annual Meeting. Washington DC: AERA, 2021. http://dx.doi.org/10.3102/1691469.
Texto completoPawar, Lokesh, Janvi Malhotra, Astha Sharma, Diya Arora y Devanshi Vaidya. "A Robust Machine Learning Predictive Model for Maternal Health Risk". En 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2022. http://dx.doi.org/10.1109/icesc54411.2022.9885515.
Texto completoSaudah, Noer y Binarti. "EXPERIENTIAL LEARNING CARE TO INCREASE MATERNAL ABILITY IN CARING PREMATURE INFANTS". En INTERNATIONAL CONFERENCE ON PUBLIC HEALTH. Graduate Studies in Public Health, Graduate Program, Sebelas Maret University Jl. Ir Sutami 36A, Surakarta 57126. Telp/Fax: (0271) 632 450 ext.208 First website:http//:s2ikm.pasca.uns.ac.id Second website: www.theicph.com. Email: theicph2016@gmail.com, 2016. http://dx.doi.org/10.26911/theicph.2016.042.
Texto completoChang, Lucas, Kaya de Barbaro y Gedeon Deak. "To hear and to hold: Maternal naming and infant object exploration". En 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). IEEE, 2015. http://dx.doi.org/10.1109/devlrn.2015.7346125.
Texto completoBi, Chengpeng, Carrie Vyhlidal y Steve Leeder. "Supervised learning of maternal cigarette-smoking signatures from placental gene expression data: A case study". En 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, 2010. http://dx.doi.org/10.1109/cibcb.2010.5510587.
Texto completoOgallo, William, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott-Bryant, Charity Wayua y Komminist Weldemariam. "Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/770.
Texto completoMehedi Hasan, Md, Md Omar Faruk, Bidesh Biswas Biki, Md Riajuliislam, Khairul Alam y Syeda Farjana Shetu. "Prediction of Pneumonia Disease of Newborn Baby Based on Statistical Analysis of Maternal Condition Using Machine Learning Approach". En 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence). IEEE, 2021. http://dx.doi.org/10.1109/confluence51648.2021.9377169.
Texto completoSingh, Aastha, Madhulika Bhatia y Anchal Garg. "Prediction of abnormal pregnancy in pregnant women with Advanced maternal age and Pregestational Diabetes using Machine learning models". En 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence). IEEE, 2022. http://dx.doi.org/10.1109/confluence52989.2022.9734210.
Texto completoBeaudoin, Judith M., Lillian T. Chin, Hannah M. Zlotnick, Thomas M. Cervantes, Alexander H. Slocum, Julian N. Robinson y Sarah C. Lassey. "Obstetrical Forceps With Passive Rotation and Sensor Feedback". En 2018 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dmd2018-6859.
Texto completoChowdhury, Minara, Muntasir Moin y Zubair Shams. "16 Adaptability of ‘Model for Improvement’ contribution to Maternal and Newborn care in the Learning Network (Prototype District, Bangladesh)". En IHI Scientific Symposium. British Medical Journal Publishing Group, 2020. http://dx.doi.org/10.1136/bmjoq-2020-ihi.16.
Texto completoInformes sobre el tema "Maternal learning"
Khan, M. E., Praween Agrawal, Avishek Hazra, Anvita Dixit, Isha Bhatnagar, Jaleel Ahmad y D. N. Ahmad. Maternal and newborn health behaviors in rural Uttar Pradesh: Findings from learning phase baseline survey 2013. Population Council, 2014. http://dx.doi.org/10.31899/rh10.1020.
Texto completoChi, Primus Che y Yasser Sami Amer. What is the impact of women’s groups practising participatory learning and action on maternal and newborn health outcomes in low-resource settings? SUPPORT, 2017. http://dx.doi.org/10.30846/1703132.
Texto completoHyrink, Tabitha, Violet Barasa y Syed Abbas. Sexual and Reproductive Health and Rights (SRHR) and Maternal, Neonatal and Child Health (MNCH) in Bangladesh: Impacts of the Covid-19 Pandemic. Institute of Development Studies, mayo de 2022. http://dx.doi.org/10.19088/ids.2022.028.
Texto completoHuq, Aurin. Impacts of Covid-19 on SRHR and MNCH in Bangladesh. Institute of Development Studies, abril de 2022. http://dx.doi.org/10.19088/clear.2022.007.
Texto completoLynch, Clifford y Diane Goldernberg-Hart. New Strategies for Acquiring Learning Materials. Coalition for Networked Information, junio de 2022. http://dx.doi.org/10.56561/qjwq5034.
Texto completoMerzlykin, Pavlo, Natalia Kharadzjan, Dmytro Medvedev, Irina Zakarljuka y Liliia Fadeeva. Scheduling Algorithms Exploring via Robotics Learning. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2877.
Texto completoTretiak, Sergei, Benjamin Tyler Nebgen, Justin Steven Smith, Nicholas Edward Lubbers y Andrey Lokhov. Machine Learning for Quantum Mechanical Materials Properties. Office of Scientific and Technical Information (OSTI), febrero de 2019. http://dx.doi.org/10.2172/1498000.
Texto completoModine, Normand, John Stephens, Laura Swiler, Aidan Thompson, Dayton Vogel, Attila Cangi, Lenz Feilder y Sivasankaran Rajamanickam. Accelerating Multiscale Materials Modeling with Machine Learning. Office of Scientific and Technical Information (OSTI), septiembre de 2022. http://dx.doi.org/10.2172/1889336.
Texto completoBolton, Laura. Climate and Environment Learning Resource Guide. Institute of Development Studies (IDS), enero de 2021. http://dx.doi.org/10.19088/k4d.2021.060.
Texto completoKonovalenko, Yurii, Svitlana Garkavenko, Tetiana Derkach y Oksana Morgulets. Demand and Learning Environment to Provide English-Language Learning at Technical Universities in Ukraine. [б. в.], noviembre de 2020. http://dx.doi.org/10.31812/123456789/4463.
Texto completo