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31561“…Participants completed a WM (blocked 0–3 back) and an EF (color-word Stroop) during 30 min of 2mA tDCS applied to Broadman area 10/46 (anode 35cm2); with cathode placed on right supraorbita. …”
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31562por von Niederhäusern, Belinda, Guyatt, Gordon H., Briel, Matthias, Pauli-Magnus, Christiane“…In the last survey round, Delphi participants from 9 countries (Austria, Australia, Canada, Germany, Italy, the Netherlands, Switzerland, UK, and US) agreed on the structure, content, and wording of the research stages, quality dimensions, specific questions, and descriptive examples of the final framework. …”
Publicado 2018
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31563por Javadi, Dena, Lamarche, Larkin, Avilla, Ernie, Siddiqui, Raied, Gaber, Jessica, Bhamani, Mehreen, Oliver, Doug, Cleghorn, Laura, Mangin, Dee, Dolovich, Lisa“…Phase I work resulted in important changes to the goal setting process (e.g., asking about goal setting later in conversation, changing wording of questions) and development of a summary report of goals sent to the interprofessional team. …”
Publicado 2018
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31564“…A convenience sample of 50 caregivers of people with dementia was recruited from rural health care facilities in Southwest Texas during 3 weeks of April 2017 to May 2017 via word-of-mouth and flyers posted at the facilities. …”
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31565por Lama, Yuki, Hu, Dian, Jamison, Amelia, Quinn, Sandra Crouse, Broniatowski, David A“…LDA analyses demonstrated that although topics related to cancer risk and sexual activity were both frequently discussed (16.1% and 14.5% of word tokens, respectively), the majority of online discussions featured other topics. …”
Publicado 2019
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31566“…Various intervention strategies based on patient characteristics, health care–related word-of-mouth communication, and social media may be used to increase self-efficacy and improve clinical outcomes. …”
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31567“…More research is needed to explore the effect of individual patterns of adherence on growth in real word settings.…”
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31568por Lee, Rebecca Rachael, Rashid, Amir, Ghio, Daniela, Thomson, Wendy, Cordingley, Lis“…Pain qualities such as particular word descriptors, use of the color red, and fire symbols were seen to be high priority by both groups in interpretation of CYP pain reports. …”
Publicado 2019
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31569“…In this study, we assimilated remotely sensed LAI and SM into the Word Food Studies (WOFOST) model to estimate winter wheat yield using an ensemble Kalman filter (EnKF) algorithm. …”
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31570por Wirawati, Vivin, Widiati, Nourrisma D. A., Gunawan, Geraldus, Saragih, Golda R., Hening, Puspa, Wihadmadyatami, Hevi“…BACKGROUND: Rousettus amplexicaudatus is one of the old world fruit bats, commonly known in Javanese word as codot belongs to Order Chiroptera and suborder Megachiroptera. …”
Publicado 2019
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31571por Byaruhanga, Judith, Tzelepis, Flora, Paul, Christine, Wiggers, John, Byrnes, Emma, Lecathelinais, Christophe“…The cost per participant recruited using traditional strategies ranged from Aus $0 (US $0, £0, and €0) for word of mouth to Aus $3990.84 (US $2757.67, £2227.85, and €2477.11) for telephone. …”
Publicado 2019
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31572“…RESULTS: The network analysis suggests that the spread of information was faster in the Coronavirus network than in the other networks (Corona19, Shincheon, and Daegu). People who used the word “Coronavirus” communicated more frequently with each other. …”
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31573por Dahir, Kathryn, Durrough, Christina, Hudson, Margaret, de Riesthal, Michael, Hu, Jiun-Ruey, Simmons, Jill“…Cognitive testing revealed improvement in delayed memory (e.g., word-list recognition, story-retell) on the Repeatable Battery of the Assessment of Neuropsychological Status from baseline (7%tile) to 6 months post therapy (47%tile). …”
Publicado 2020
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31574“…Phonological features were extracted using OpenSMILE; semantic features were calculated using a word2vec model using a moving windows of coherence approach, and finally syntactic aspects were calculated using the T-scan tool. …”
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31575por Adikari, Achini, Nawaratne, Rashmika, De Silva, Daswin, Ranasinghe, Sajani, Alahakoon, Oshadi, Alahakoon, Damminda“…This study employs an AI framework comprised of natural language processing, word embeddings, Markov models, and the growing self-organizing map algorithm, which are collectively used to investigate social media conversations. …”
Publicado 2021
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31576“…BACKGROUND: To meet the growing importance of real-word data analysis, clinical data and biosamples must be timely made available. …”
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31577“…SEARCH METHODS: After a scoping exercise, the literature was identified through four search stages, including key‐word searches of 12 databases, hand searches of reference lists of conceptual papers or books on the topic of counter‐narratives, as well as direct contact with experts and professional agencies in the field. …”
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31578por Yee, Lynn M., Silver, Robert, Haas, David M., Parry, Samuel, Mercer, Brian M., Wing, Deborah A., Reddy, Uma, Saade, George R., Simhan, Hyagriv, Grobman, William A.“…EXPOSURES: Between 16 and 21 weeks of gestation, health literacy was assessed using the Rapid Estimate of Adult Literacy in Medicine–Short Form, a validated 7-item word recognition test. In accordance with standard scoring, results were dichotomized as inadequate vs adequate health literacy. …”
Publicado 2021
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31579“…Participants primarily used computers, tablets, and mobile phones; non–eHealth-specific tools (eg, word processing and videoconferencing applications); and digital formats such as videos, web courses, and apps. …”
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31580por Smekal, Michelle D., Donald, Maoliosa, Beanlands, Heather, Straus, Sharon, Herrington, Gwen, Waldvogel, Blair, Sparkes, Dwight, Delgado, Maria, Bello, Aminu, Hemmelgarn, Brenda R.“…Participants were satisfied with the content, wording, and design. LIMITATIONS: The sample sizes were small for each component of the analysis, and the sampling was consecutive/convenience-based. …”
Publicado 2021
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