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  1. 1861
  2. 1862
  3. 1863
  4. 1864

    From bed to bench and back again: Challenges facing deployment of intracranial pressure data analysis in clinical environments by Laura Moss, Martin Shaw, Ian Piper, Christopher Hawthorne

    Published 2024-01-01
    “…Introduction: Numerous complex physiological models derived from intracranial pressure (ICP) monitoring data have been developed. More recently, techniques such as machine learning are being used to develop increasingly sophisticated models to aid in clinical decision-making tasks such as diagnosis and prediction. …”
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  5. 1865

    Relationship between 24-hour movement behaviors and executive function in preschool children based on compositional data analysis by Zhenya Chang, Ling Wang, Aifeng Zhu

    Published 2025-09-01
    “…EF was measured by a questionnaire (BRIEF-P), and compositional data analysis was employed. Results: (1) The relative time distribution among 24 h-MBs showed statistically significant associations with both EF and specific subdomains in preschool children (p < 0.05). (2) Moderate-to-Vigorous-intensity Physical Activity (MVPA) was significantly associated with inhibitory control (γ14 = −2.36, p = 0.002), working memory (γ14 = −2.78, p = 0.003), emotional control (γ14 = −1.30, p = 0.024), planning (γ14 = −1.83, p = 0.003), and EF (γ14 = −9.35, p = 0.003). (3) SB was significantly associated with working memory (γ12 = 3.99, p = 0.027) and EF (γ12 = 11.95, p = 0.047). (4) When MVPA was substituted for sleep, SB, and Light-intensity Physical Activity (LPA) for 15 min per day, there was a significant decrease in preschoolers' EF and many of its dimensions. …”
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  6. 1866

    Detection and Analysis of Man-Machine Interactive Software Vulnerabilities Based on Ultrasonic Data Acquisition and Signal Processing Algorithms by Lei Zhao

    Published 2021-01-01
    “…With the gradual increase in the informatization, there is much software in various industries, such as data management, business execution, public orientation, and company OA, which greatly facilitates the development of various tasks, but it also brings many hidden dangers. …”
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  7. 1867
  8. 1868

    Opportunities for a New Content and Methodological Line “Big Data Analysis” to Modernize the Training System of the Future Economist by D. A. Vlasov, P. A. Karasev, A. V. Sinchukov

    Published 2021-10-01
    “…The necessity of modernization of the system of professional training of the future economist in the context of the development of data science through the selection and implementation of a new content-methodological line “Big Data Analysis” is substantiated. …”
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  9. 1869
  10. 1870
  11. 1871

    Global, regional, and national prevalence and determinants of volunteer work: a meta-analysis study using survey data by Samuel Manda, Nada Abdelatif, Dineo Seabe, Sollie Millard, Tapiwa Kamuruko

    Published 2025-07-01
    “…This study employed a random-effects meta-analysis to estimate the prevalence of volunteering and to investigate variations in volunteer rates by gender, educational level, and age, both globally and at regional and country levels.MethodsWe analyzed data from 49,458 volunteers aged 15 and older across 37 World Values Surveys (WVS) conducted between 2000 and 2018 in 31 countries. …”
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  12. 1872
  13. 1873

    Prognostic indicators and outcomes of hospitalised COVID-19 patients with neurological disease: An individual patient data meta-analysis. by Bhagteshwar Singh, Suzannah Lant, Sofia Cividini, Jonathan W S Cattrall, Lynsey C Goodwin, Laura Benjamin, Benedict D Michael, Ayaz Khawaja, Aline de Moura Brasil Matos, Walid Alkeridy, Andrea Pilotto, Durjoy Lahiri, Rebecca Rawlinson, Sithembinkosi Mhlanga, Evelyn C Lopez, Brendan F Sargent, Anushri Somasundaran, Arina Tamborska, Glynn Webb, Komal Younas, Yaqub Al Sami, Heavenna Babu, Tristan Banks, Francesco Cavallieri, Matthew Cohen, Emma Davies, Shalley Dhar, Anna Fajardo Modol, Hamzah Farooq, Jeffrey Harte, Samuel Hey, Albert Joseph, Dileep Karthikappallil, Daniel Kassahun, Gareth Lipunga, Rachel Mason, Thomas Minton, Gabrielle Mond, Joseph Poxon, Sophie Rabas, Germander Soothill, Marialuisa Zedde, Konstantin Yenkoyan, Bruce Brew, Erika Contini, Lucette Cysique, Xin Zhang, Pietro Maggi, Vincent van Pesch, Jérome Lechien, Sven Saussez, Alex Heyse, Maria Lúcia Brito Ferreira, Cristiane N Soares, Isabel Elicer, Laura Eugenín-von Bernhardi, Waleng Ñancupil Reyes, Rong Yin, Mohammed A Azab, Foad Abd-Allah, Ahmed Elkady, Simon Escalard, Jean-Christophe Corvol, Cécile Delorme, Pierre Tattevin, Kévin Bigaut, Norbert Lorenz, Daniel Hornuss, Jonas Hosp, Siegbert Rieg, Dirk Wagner, Benjamin Knier, Paul Lingor, Andrea Sylvia Winkler, Athena Sharifi-Razavi, Shima T Moein, SeyedAhmad SeyedAlinaghi, Saeidreza JamaliMoghadamSiahkali, Mauro Morassi, Alessandro Padovani, Marcello Giunta, Ilenia Libri, Simone Beretta, Sabrina Ravaglia, Matteo Foschi, Paolo Calabresi, Guido Primiano, Serenella Servidei, Nicola Biagio Mercuri, Claudio Liguori, Mariangela Pierantozzi, Loredana Sarmati, Federica Boso, Silvia Garazzino, Sara Mariotto, Kimani N Patrick, Oana Costache, Alexander Pincherle, Frederikus A Klok, Roger Meza, Verónica Cabreira, Sofia R Valdoleiros, Vanessa Oliveira, Igor Kaimovsky, Alla Guekht, Jasmine Koh, Eva Fernández Díaz, José María Barrios-López, Cristina Guijarro-Castro, Álvaro Beltrán-Corbellini, Javier Martínez-Poles, Alba María Diezma-Martín, Maria Isabel Morales-Casado, Sergio García García, Gautier Breville, Matteo Coen, Marjolaine Uginet, Raphaël Bernard-Valnet, Renaud Du Pasquier, Yildiz Kaya, Loay H Abdelnour, Claire Rice, Hamish Morrison, Sylviane Defres, Saif Huda, Noelle Enright, Jane Hassell, Lucio D'Anna, Matthew Benger, Laszlo Sztriha, Eamon Raith, Krishna Chinthapalli, Ross Nortley, Ross Paterson, Arvind Chandratheva, David J Werring, Samir Dervisevic, Kirsty Harkness, Ashwin Pinto, Dinesh Jillella, Scott Beach, Kulothungan Gunasekaran, Ivan Rocha Ferreira Da Silva, Krishna Nalleballe, Jonathan Santoro, Tyler Scullen, Lora Kahn, Carla Y Kim, Kiran T Thakur, Rajan Jain, Thirugnanam Umapathi, Timothy R Nicholson, James J Sejvar, Eva Maria Hodel, Brain Infections Global COVID-Neuro Network Study Group, Catrin Tudur Smith, Tom Solomon

    Published 2022-01-01
    “…<h4>Methods</h4>We conducted an individual patient data (IPD) meta-analysis of hospitalised patients with neurological COVID-19 disease, using standard case definitions. …”
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  14. 1874

    Bridging resource gaps in cross-lingual sentiment analysis: adaptive self-alignment with data augmentation and transfer learning by Li Chen, Shifeng Shang, Yawen Wang

    Published 2025-04-01
    “…With robust domain adaptation capabilities and strong potential for real-world industrial applications, this research establishes a new benchmark for multilingual sentiment analysis, advancing the development of more inclusive and equitable natural language processing solutions.…”
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  15. 1875
  16. 1876
  17. 1877
  18. 1878

    Performance Assessment with Data Envelopment Analysis in Public Administration in Turkey: An Example of the General Directorate of National Property Practices by İlhan Yıldırım, Harun Tanrıvermiş, Türkay Tüdeş

    Published 2021-09-01
    “…In this study, detection procedures conducted in Treasury (or State) property of the General Directorate of National Property were taken as an example of public institution activity, and its performance was evaluated with data envelopment analysis using Efficiency Measurement System program. …”
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  19. 1879
  20. 1880