Showing 10,001 - 10,020 results of 10,994 for search '"language"', query time: 0.12s Refine Results
  1. 10001
  2. 10002

    Evidence mapping and overview of systematic reviews of the effects of acupuncture therapies by Yuqing Zhang, Gordon Guyatt, Lin Wang, Hao Wen, Liming Lu, Gabriel Rada, Lai Wang, Shuqi Ge, Yu Dong, Camila Ávila, Xiaorong Tang, Neng-Gui Xu, Zhao Zeng, Camilo Vergara, Rouhao Chen, Xiaojing Wei, Wen Luo, Jing chun Zeng, Chun-Zhi Tang

    Published 2022-06-01
    “…Objective To provide a route map regarding systematic reviews (SRs) of acupuncture therapies that will meet two goals: (1) to identify areas in which more or better evidence is required and (2) to identify acupuncture applications that, although proven effective, remain underused in practice, and thus warrant more effective knowledge dissemination.Eligibility criteria We included SRs that conducted meta-analyses (MAs) of randomised controlled trials (RCTs) for this overview.Information sources We searched for SRs without language restrictions from January 2015 to November 2020 in four Chinese electronic databases and Epistemonikos database. …”
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  3. 10003

    Can ChatGPT4-vision identify radiologic progression of multiple sclerosis on brain MRI? by Brendan S. Kelly, Sophie Duignan, Prateek Mathur, Henry Dillon, Edward H. Lee, Kristen W. Yeom, Pearse A. Keane, Aonghus Lawlor, Ronan P. Killeen

    Published 2025-01-01
    “…Abstract Background The large language model ChatGPT can now accept image input with the GPT4-vision (GPT4V) version. …”
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  4. 10004

    Identification and functional analysis of a novel SMARCC2 splicing variant in a family with syndromic neurodevelopmental disorder by Ming Li, Jingqi Lin, Hongjun Fei, Jinyu Liu, Yiyao Chen, Xu Han, Yanlin Wang, Jian Wang, Renyi Hua, Shuyuan Li, Niu Li

    Published 2025-02-01
    “…Results The twin adult males displayed comparable phenotypes, characterized by moderate developmental delay, intellectual and language delays, dense hair, craniofacial anomalies, scoliosis, cryptorchidism, hypotonia, behavioral abnormalities, allergic purpura and eczema, and drug allergies. …”
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  5. 10005

    A Community-Based Intervention for Mental Health and Wellbeing in Pregnancy and Postpartum: One Healthy Start Site’s Story by Sampson M, Xu W, York FN, Roberson J

    Published 2025-02-01
    “…More robust data is needed to allow statistical comparisons are needed in future research.Plain Language Summary: In this study, we wanted to know how well a strengths-based program, the University of Houston Healthy Start (UHHS), screened and referred mothers for postpartum depression needs. …”
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  6. 10006

    Development and Validation of the Systemic Inflammatory Response Index-Based Nomogram for Predicting Short-Term Adverse Events in Patients With Acute Uncomplicated Type B Aortic In... by Wang Y, Wu X, Wang Y, Zhang Z, Liu X, Sun D, Liu X, Zhou T, Wang X

    Published 2025-01-01
    “…Calibration curves and DCA further supported the clinical utility of the Clinical-SIRI model.Conclusion: The SIRI-based nomogram is a valuable prognostic tool for predicting short-term ARAEs in patients with acute uncomplicated Type B IMH.Plain Language Summary: This study introduces a novel nomogram that integrates the Systemic Inflammatory Response Index with clinical variables to enhance the prediction of adverse events in patients with Type B aortic intramural hematoma, a condition marked by highly variable clinical outcomes. …”
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  7. 10007

    Examining differences in exposure to digital marketing of unhealthy foods reported by Canadian children and adolescents in two policy environments by Laura Vergeer, Carolina Soto, Mariangela Bagnato, Elise Pauzé, Ashley Amson, Tim Ramsay, Dana Lee Olstad, Vivian Welch, Monique Potvin Kent

    Published 2025-02-01
    “…Compared with Ontario children, Quebec children were less likely to report exposure to marketing featuring characters or child/teenage actors (OR: 0.51; 95% CI: 0.34, 0.76), child-appealing subjects, themes and language (OR: 0.59; 95% CI: 0.40, 0.89), and visual design, audio and special effects (OR: 0.64; 95% CI: 0.41, 0.99), and to report exposure to a greater number of marketing techniques (OR: 0.60; 95% CI: 0.43, 0.84). …”
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  8. 10008

    Pengembangan Media Pembelajaran Berbasis Website pada Mata Pelajaran Dasar Desain Grafis Menggunakan Model Pengembangan Four-D (Studi pada SMK Negeri 1 Rembang) by Azka Azkiyah, Satrio Hadi Wijoyo, faizatul amalia

    Published 2022-08-01
    “…The efficiency test of the student responses by measuring web view, language use, and usability of media scores reached 92.03% (very feasible). …”
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  9. 10009

    Peri‐ictal yawning: A potential lateralizing sign in temporal lobe epilepsy by Xiaoping Du, Yi Yao, Jiani Chen, Xiaoping Yang, Lei Zhang, Yingying Tang, Xiaoting Hao, Dong Zhou, Shizhong Lian, Fengpeng Wang, Xiaobin Zhang, Meizhen Sun, Junhong Guo

    Published 2025-02-01
    “…Further investigation with a larger cohort of surgically confirmed cases and using intracranial EEG is essential to deepen our understanding of this phenomenon. Plain Language Summary Yawning is a typical physiological response that is generally not linked to epilepsy. …”
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  10. 10010

    Intersectional discrimination, exclusion and the socio-political economy of global mental health: A systematic scoping review of the literature by Rochelle A. Burgess, Sorcha Ní Chobhthaigh, Bijayalaxmi Biswal, Diana Ceccolini, Babatunde Fadipe, Denaneer Khan, Neena Aggarwal, Ishrat Pabla, Camila Solis, Ramya Pillutla, Piyali Sarkar, Eric Frasco, Valentina lemmi, Soumitra Pathare, Crick Lund

    Published 2025-06-01
    “…We screened 27,003 records with 118 papers meeting inclusion criteria.We found no papers exploring caste-based discrimination in relation to the factors in our framework and very few exploring discrimination linked to indigeneity, colonialism, religious institutions, and language. The majority of studies focused on racism and its intersections with sexuality, gender and working conditions. …”
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  11. 10011
  12. 10012

    Use of Augmented Reality for Training Assistance in Laparoscopic Surgery: Scoping Literature Review by Francisco Javier Celdrán, Javier Jiménez-Ruescas, Carlos Lobato, Lucía Salazar, Juan Alberto Sánchez-Margallo, Francisco M Sánchez-Margallo, Pascual González

    Published 2025-01-01
    “…Exclusion criteria were studies not using AR, not focused on laparoscopic surgery, not focused on training, written in a language other than English, or not providing relevant information on the topics studied. …”
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  13. 10013

    Comparison of Ultrasound Energy Delivered to the Anterior Segment Across Different Phacoemulsification Surgical Platforms by Nelson TK, Ricks RG, Cardenas IA, Whitaker T, Jensen JL, Olson RJ, Pettey JH

    Published 2025-01-01
    “…This data can aid surgeons’ understanding of how power level by surgical platform can impact the amount of energy introduced into the anterior segment during cataract surgery.Plain Language Summary: Cataract surgery is one of the most commonly performed surgical procedures in the United States. …”
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  14. 10014
  15. 10015

    The appearance of scalp high‐frequency oscillations is associated with poor seizure control in pediatric epilepsy patients by Keisuke Maeda, Nami Hosoda, Himari Tsuboi, Honoka Naito, Chiaki Kudo, Junichi Fukumoto, Shiho Fujita, Naohiro Ichino, Keisuke Osakabe, Keiko Sugimoto, Shunta Yamaguchi, Naoko Ishihara

    Published 2025-02-01
    “…The results of this study support that scalp HFO is associated with patients having frequent seizures after treatment in both ripple and fast ripple. Plain Language Summary This study analyzed scalp high‐frequency oscillations and spikes in pediatric patients with various types of epilepsy who were being treated using ASMs. …”
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  16. 10016

    Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society. by Muhammad Tayyab Zamir, Fida Ullah, Rasikh Tariq, Waqas Haider Bangyal, Muhammad Arif, Alexander Gelbukh

    Published 2024-01-01
    “…The methodology of this work includes gathering a dataset comprising fabricated news articles sourced from a corpus and subjected to the natural language processing (NLP) cycle. After applying some filters, a total of five machine learning classifiers and three deep learning classifiers were employed to forecast the sentiment of news articles, distinguishing between those that are authentic and those that are fabricated. …”
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  17. 10017

    Global Use, Adaptation, and Sharing of Massive Open Online Courses for Emergency Health on the OpenWHO Platform: Survey Study by Jamie Sewan Johnston, Nadine Ann Skinner, Anna Tokar, Elham Arabi, Ngouille Yabsa Ndiaye, Matthew Charles Strehlow, Heini Utunen

    Published 2025-01-01
    “…Yet, barriers associated with technology access, language, and cultural context limit the use of MOOCs, particularly in lower-resource communities. …”
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  18. 10018

    PENGEMBANGAN MODUL ELEKTRONIK BERBANTUAN SIMULASI PhET PADA POKOK BAHASAN GERAK HARMONIK SEDERHANA DI SMA by Melva Oktaviana, Desy Hanisa Putri, Eko Risdianto

    Published 2020-08-01
    “…Furthermore, the PhET simulation assisted electronic learning module developed was in a very valid category and is a tested design with the acquisition of scores on material aspects namely 92.3%, language aspects namely 91.7% and media aspects namely 94.2%, and obtained the percentage score for the total average of this electronic learning module is 92.7%. …”
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  19. 10019

    Profile of non-invasive physical health indicators associated with cognitive performance in Chinese older adults: evidence from the China Health and Retirement Longitudinal Study by Xiyu Wei, Chao Li, Dongyu Liu, Jieyi Chen, Yumeng Ju, Jin Liu, Bangshan Liu, Yan Zhang

    Published 2025-02-01
    “…Cognitive performance domains (general cognition, episodic memory, executive function, verbal fluency, orientation, and language-and-praxis) were measured through standardised interviews and cognitive tasks. …”
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  20. 10020

    Classification performance and reproducibility of GPT-4 omni for information extraction from veterinary electronic health records by Judit M. Wulcan, Kevin L. Jacques, Mary Ann Lee, Samantha L. Kovacs, Nicole Dausend, Lauren E. Prince, Jonatan Wulcan, Sina Marsilio, Stefan M. Keller

    Published 2025-01-01
    “…Large language models (LLMs) can extract information from veterinary electronic health records (EHRs), but performance differences between models, the effect of hyperparameter settings, and the influence of text ambiguity have not been previously evaluated. …”
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