Applied sport science and medicine of women’s rugby codes: a systematic-scoping review and consensus on future research priorities protocol by Ben Jones, Stacey Emmonds, Gregory Roe, Keith Stokes, Omar Heyward, Sean Scantlebury

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Small non-coding RNAs have predicted roles in reproductive biology and transposable element regulation in the parasitic worm Strongyloides venezuelensis by Dominika Lastik, Asuka Kounosu, Mehmet Dayi, Akemi Yoshida, Akito Fujihira, Kieran Reynolds, Vicky L. Hunt, Taisei Kikuchi

“…Adult females from these two generations are genetically identical, making them an informative model to identify molecular differences between parasitic and free-living lifestyles and understand different reproductive strategies. …”
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Application of Open-Source, Low-Code Machine-Learning Library in Python to Diagnose Parkinson's Disease Using Voice Signal Features by Daniel Hilário da Silva, Caio Tonus Ribeiro, Leandro Rodrigues da Silva Souza, Adriano Alves Pereira

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An Analysis of WhatsApp Interactions Among Youth: A Case of Language Attrition by Shubhra Shubhra, Devina Krishna

“…This results in a unique linguistic landscape where expressions from different languages coexist, sometimes making it challenging to distinguish between them. …”
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Employing a low-code machine learning approach to predict in-hospital mortality and length of stay in patients with community-acquired pneumonia by Hao Chen, Shurui Zhang, Hiromi Matsumoto, Nanami Tsuchiya, Chihiro Yamada, Shunsuke Okasaki, Atsushi Miyasaka, Kentaro Yumoto, Daiki Kanou, Fumihiro Kashizaki, Harumi Koizumi, Kenichi Takahashi, Masato Shimizu, Nobuyuki Horita, Takeshi Kaneko

“…For the LOS, the CCI score, activities of daily living, and social support were significant predictors. The low-code approach enables medical professionals with limited technical expertise to effectively employ data science in their clinical decision-making process. …”
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Decision‐making for pediatric cervical spine imaging after blunt trauma: Investigating team dynamics in the emergency department by Megan E. Gregory, Annie Truelove, Fahd Ahmad, Daniel Corwin, Leah Tzimenatos, Scott J. Oglesbee, Martin J. Herman, Julie C. Leonard

“…Methods We interviewed (pediatric and general emergency physicians, trauma surgeons, neurosurgeons, orthopedic surgeons and ED nurses at 21 hospitals to ascertain how team dynamics affect the pediatric cervical spine imaging decision‐making process. Data were coded following a framework‐driven deductive coding process and thematic analysis was used. …”
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Assessing fidelity of design and training of Making Every Contact Count (MECC) in a mental health inpatient setting by Emma Kemp, Maria Raisa Jessica Aquino, Rob Wilson, Milica Vasiljevic, Kate McBride, Craig Robson, Sally Faulkner, Mish Loraine, Jill Harland, Catherine Haighton, Angela Rodrigues

“…Abstract Background Making Every Contact Count (MECC) is a public health strategy which strives to enable brief interventions to be implemented through opportunistic healthy lifestyle conversations. …”
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Using self-generated identification codes to match anonymous longitudinal data in a sexual health study of secondary school students: a cohort study by Edmond Pui Hang Choi, Ellie Bostwick Andres, Heidi Sze Lok Fan, Lai Ming Ho, Alice Wai Chi Fung, Kevin Wing Chung Lau, Neda Hei Tung Ng, Monique Yeung, Janice Mary Johnston

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A study of coastal and harbor channel effects on Underwater Wireless Optical Communication systems with BCH and LDPC error correction codes by Lenin Joseph, Sangeetha Anandan

“…The best performance has been observed with the 4-QAM-OFDM mapped channel with LDPC codes with maximum distance of 62 m in harbor water and 161.9 m in coastal water.…”
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Diffusion-Weighted Imaging with Color-Coded Images: Towards a Reduction in Reading Time While Keeping a Similar Accuracy by Felipe Campos Kitamura, Srhael de Medeiros Alves, Luis Antônio Tobaru Tibana, Nitamar Abdala

“…The aim of this study was to develop a diagnostic tool capable of providing diffusion and apparent diffusion coefficient (ADC) map information in a single color-coded image and to assess the performance of color-coded images compared with their corresponding diffusion and ADC map. …”
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Deep Learning Models to Predict Diagnostic and Billing Codes Following Visits to a Family Medicine Practice: Development and Validation Study by Akshay Rajaram, Michael Judd, David Barber

“… Abstract BackgroundDespite significant time spent on billing, family physicians routinely make errors and miss billing opportunities. In other disciplines, machine learning models have predicted Current Procedural Terminology codes with high accuracy. …”
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Unlocking Citizen Developer Potential: A Systematic Review and Model for Digital Transformation by Shakeel Muhammad, Victor Prybutok, Vikas Sinha

“…Citizen developers, individuals outside formal IT departments who create applications using low-code/no-code platforms, are becoming increasingly pivotal as organizations navigate digital transformation. …”
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Receiver Processing of the Multibeam Azimuth Scanning CC-OFDM-MIMO Radar by Devy Kuswidiastuti, L. P. Ligthart, Gamantyo Hendrantoro, Titiek Suryani, Prasetiyono Hari Mukti, Yuyu Wahyu

“…The multiple beams are transmitted simultaneously and continuously without beams switching that makes the radar has full continuous observations over the wide coverage of −45 to 45 degree. …”
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Perspective review: Will generative AI make common data models obsolete in future analyses of distributed data networks? by Jeffery L. Painter, Darmendra Ramcharran, Andrew Bate

“…We explore how generative artificial intelligence (GenAI), especially large language models (LLMs), could make CDMs obsolete in quantitative healthcare data analysis by interpreting natural language queries and generating code, enabling direct interaction with raw data. …”
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Do-Not-ResuscitateDecision-Making during the COVID-19 Pandemic in a Teaching Hospital: Lessons Learned for the Future by Mick van de Wiel, Sabrina van Ierssel, Walter Verbrugghe, Veerle Mertens, Annelies Janssens

“…Assess how the decision-making process to determine a DNR code is implemented in the day-to-day clinical practice in a tertiary teaching hospital. …”
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Hearing, sharing and applying: a qualitative study of the experiences of family caregivers’ end-of-life decision-making in Singapore by Gerald Choon Huat Koh, Pin Sym Foong, See Mieng Tan, Min Li Ong, Xingyu Xia

“…The objective is to describe the decision-making journey and identify how interventions can be developed for these caregivers.Methods Semi-structured interviews with 14 adult and spousal caregivers were conducted using an interview guide and transcripts were coded inductively via reflexive thematic analysis.Results First, clarity in communication enhances satisfaction with their decisions. …”
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How to Make Feedback More Effective? Qualitative Findings from Pilot Testing of an Audit and Feedback Report for Endoscopists by Fiona Webster, Jigisha Patel, Kathleen Rice, Nancy Baxter, Lawrence Paszat, Linda Rabeneck, Jill Tinmouth

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Should healthcare professionals include aspects of environmental sustainability in clinical decision-making? A systematic review of reasons by Sarah Gabriela Kuiter, Alina Herrmann, Marcel Mertz, Claudia Quitmann, Sabine Salloch

“…However, the extent to which considerations of environmental sustainability should be incorporated into clinical decision-making at the individual level is unclear. Methods We conducted a systematic review of the reasons stated for and against including aspects of environmental sustainability in the clinical decision-making of healthcare professionals. …”
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Neonatal nurses’ experiences with generative AI in clinical decision-making: a qualitative exploration in high-risk nicus by Abeer Nuwayfi Alruwaili, Afrah Madyan Alshammari, Ali Alhaiti, Nadia Bassuoni Elsharkawy, Sayed Ibrahim Ali, Osama Mohamed Elsayed Ramadan

“…Thematic analysis was used to code and interpret data, supported by an inter-rater reliability of 0.88. …”
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Information Support of Statistic Research of Budget Investments’ Impact on Socio-Ecological and Economic Development of the Russian Federation regions by N. N. Kovalenko

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