Mapping the future: The current landscape and future directions of evidence-based practice in Saudi radiology departments. by Walaa Alsharif, Faisal Alrehily, Fahad H Alhazmi, Awadia Greeballah, Abdulaziz A Qurashi, Shrooq Aldahery, Adnan Alahmadi, Amirah Alsaedi, Sultan Alshoabi, Khalid M Alshamrani, Awatif M Omer, Raghad Aljuhani

“…Responses from the interviews were coded, and key themes were identified following Miles and Huberman's framework.…”
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A randomized controlled trial testing supervision strategies in community mental health by Shannon Dorsey, Rashed AlRasheed, Suzanne EU Kerns, Rosemary D Meza, Noah Triplett, Esther Deblinger, Nathaniel Jungbluth, Lucy Berliner, Lavangi Naithani, Michael D Pullmann

“…Background Clinicians need supports beyond training to deliver evidence-based treatments with fidelity. …”
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Investigation of growth traits in Turkish Merino lambs using multi-locus GWAS approaches: Karacabey Merino by Yalçın Yaman, Ramazan Aymaz, Murat Keleş, Yiğit Emir Kişi, Ecem Hatipoğlu, Arzu Özdemir, Elif Çetinkaya

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The Impact of Sex Education Towards Moral Development Among Pupils in Kebisoni Sub-County Rukungiri District. by Kamagara, Annet

“…Data collected was edited, coded, entered into the computer, and analyzed with Excel, a Microsoft statistical package, the results were presented in tables. …”
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Work Environment and Employee Performance in Rubanda District. by Niwagaba, Justust

“…Data collected was edited, coded, entered into the computer, and analyzed with Excel, a Microsoft statistical package, the results were presented in tables. …”
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Applying Mobile Technology to Address Gender-Based Violence in Rural Nigeria: Experiences and Perceptions of Users and Stakeholders by Friday Okonofua, Babatunde Adelekan, Erika Goldson, Zubaida Abubakar, Ulla Mueller, Audu Alayande, Tellson Ojogun, Lorretta Ntoimo, Oluwatosin Sanyaolu, Juliet Omokaro, Vivian Onoh, Bukky Williams, Ibrahim Muhammed, Joy Adeniran, Emilene Anakhuekha, Ogochukwu Udenigwe, Sanni Yaya

“…Women experiencing GBV and other challenges related to sexual and reproductive health and rights were requested to use their mobile phones to text a code to a central server. In turn, the server relayed the messages to trained nearby health providers and civil society organization (CSO) officials who reached out to provide health care and social management services to the callers. …”
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Machine learning based clinical decision tool to predict acute kidney injury and survival in therapeutic hypothermia treated neonates by Elif Keles, Syed Yaseen Ali, Pia Wintermark, Pieter Annaert, Floris Groenendaal, Suzan Şahin, Mehmet Yekta Öncel, Didem Armangil, Esin Koc, Malcolm R. Battin, Alistair J. Gunn, Adam Frymoyer, Valerie Chock, Djalila Mekahli, John van den Anker, Anne Smits, Karel Allegaert, Ulas Bagci

“…Our ML scoring systems’ code and user interface are freely available ( https://github.com/NUBagciLab/Therapeutic-Hypothermia-Outcome-Classification , https://thprediction.streamlit.app/ ). …”
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Measured Tones: The Place of People of Colour in Norwegian Reading Lists by Andrew Thomas, Sandra Fylkesnes

“… What do Norwegian reading lists in pedagogy in postgraduate teacher-training communicate about race? A content analysis of all reading lists for modules in pedagogy that form part of the Norwegian postgraduate certificate of education and were posted online in autumn 2021 coded 0.2% (75 of the 35,116) of the pages as authored by people of colour; about one in every twenty pages pertained to people of colour and almost all the contributions by authors coded as people of colour concerned people of colour. …”
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21cmlstm: A Fast Memory-based Emulator of the Global 21 cm Signal with Unprecedented Accuracy by J. Dorigo Jones, S. M. Bahauddin, D. Rapetti, J. Mirocha, J. O. Burns

“…We have made the emulator, code, and data sets publicly available so that 21cmLSTM can be independently tested and used to retrain and constrain other 21 cm models.…”
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Assessing the effect of selective serotonin reuptake inhibitors in the prevention of post-acute sequelae of COVID-19 by Hythem Sidky, Kristen A. Hansen, Andrew T. Girvin, Nathan Hotaling, Sam G. Michael, Ken Gersing, David K. Sahner

“…Presumed PASC was defined based on a computable PASC phenotype trained on the U09.9 ICD-10 diagnosis code. Results: Of the 17,908 patients identified, 1521 were exposed at baseline to a S1R agonist SSRI, 1803 to a non-S1R agonist SSRI, and 14,584 to neither. …”
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General regression and representation model for classification. by Jianjun Qian, Jian Yang, Yong Xu

“…Recently, the regularized coding-based classification methods (e.g. SRC and CRC) show a great potential for pattern classification. …”
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Personalized Product Recommendation Model of Automatic Question Answering Robot Based on Deep Learning by Jie Peng, Jianhui Xu

“…Finally, the feature codes of the users and products are input into the Bi-GRU model for learning, so as to output the recommendation list of personalized products of the automated question answering robot. …”
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Pesticide Safety Miniposter: Pest Control Vehicle Safety by Rebecca W. Baldwin, Stephanie K. Larrick Hill, Philip Koehler, P. A. Mitola, J. C. Medley

“…Do you need to train your employees about vehicle safety while transporting pesticides? …”
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Pesticide Safety Miniposter: Pest Control Vehicle Safety by Rebecca W. Baldwin, Stephanie K. Larrick Hill, Philip Koehler, P. A. Mitola, J. C. Medley

“…Do you need to train your employees about vehicle safety while transporting pesticides? …”
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A qualitative examination of barriers and facilitators to HIV prevention and treatment for people involved with the criminal justice system by Stephanie Villaire, Thomas Sease, Jen Pankow, Ahrein Bennett, Zoe Pulitzer, Laura Hansen, Cynthia Frank, Angela Di Paola, Wayne Lehman, Mark Sanchez, Arista McQuaid, Alysse Schultheis, Brandi Stein, Sandra A. Springer, Ank E. Nijhawan, Kevin Knight

“…Audio-recorded interviews were transcribed and coded by trained qualitative researchers. Results The resulting 1,485 quotes were queried and analyzed using the EPIS inner and outer contexts implementation framework for reporting the findings. …”
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PyNET-Q×Q: An Efficient PyNET Variant for Q×Q Bayer Pattern Demosaicing in CMOS Image Sensors by Minhyeok Cho, Haechang Lee, Hyunwoo Je, Kijeong Kim, Dongil Ryu, Albert No

“…We also propose a knowledge distillation method called progressive distillation to train the reduced network more effectively. Consequently, PyNET-<inline-formula> <tex-math notation="LaTeX">$\text{Q}\times \text{Q}$ </tex-math></inline-formula> contains less than 2.5&#x0025; of the parameters of the original PyNET while preserving its performance. …”
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Exploring the Role of Patient Preferences in Hepatocellular Carcinoma Treatment Decisions: A Qualitative Study by Andrew M. Moon, Daniel Richardson, Gabriel V. Lupu, Donna M. Evon, Hanna K. Sanoff, Jessica Carda-Auten, Randall Teal, Myra Waheed, Ethan Basch, David M. Mauro, Ted K. Yanagihara, David A. Gerber, Neil D. Shah, Oren K. Fix, Hersh Shroff, Tammy Triglianos, Jonathan D. Sorah, Jingquan Jia, Ashwin Somasundaram, Lynne I. Wagner, Michael D. Kappelman, Matthew Schooler, Julia R. Phillips, Hiwot A. Ekuban, Ariel E. Sanderford, A. Sidney Barritt

“…Summaries included a narrative description of the themes and subthemes that emerged related to each code, and illustrative quotes were used to highlight each theme. …”
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A dual-phase deep learning framework for advanced phishing detection using the novel OptSHQCNN approach by Srikanth Meda, Vangipuram Sesha Srinivas, Killi Chandra Bhushana Rao, Repudi Ramesh, Narasimha Rao Yamarthi

“…The retrieved properties are fed into a trained classifier. Next, a prediction of “phishing” or “Legitimate” is produced by the classifier. …”
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Multi-class fault diagnosis of BF based on global optimization LS-SVM by ZHANG Hai-gang, ZHANG Sen, YIN Yi-xin

“…Finally, the heuristic error correcting output codes were constructed on the basis of Fisher linear discriminate rate. …”
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The sergeants speak by Martijn Prins, Trenton Hagar, Rick de Graaff, Jett Wilson

“…Data was collected through interviews and a questionnaire, and analyzed using a combination of open coding and descriptive statistics. Results detail when, where, and how soldiers use English. …”
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