Community Collaboration in Public Health Genetic Literacy: Methods for Co-Designing Educational Resources for Equitable Genomics Research and Practice by Juhi Salunke, Grace Byfield, Sabrina N. Powell, Daniel F. Torres, Grace Leon-Lozano, Jahnelle Jackson, Andreas K. Orphanides, Jonathan Shaw, Thomas Owens, Jonathan S. Berg, Elizabeth Branch, Lennin Caro, Stefanija Giric, Julianne M. O'Daniel, Bradford C. Powell, Ken Ray, Carla Robinson, Samantha Schilling, Nicole Shaw, Erin Song, Margaret Waltz, Megan C. Roberts, Ann Katherine M. Foreman, Kimberly Foss, Laura V. Milko

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Developing and implementing whole systems approaches to reduce inequalities in childhood obesity: A mixed methods study in Dundee, Scotland by P. van der Graaf, M.P. Subramanian, J. Gillespie, A. Passey, N.R. Chng, A. Lake, H. Moore

“…This paper reports on findings of a study into the initial implementation of this approach in Dundee, Scotland. Study design/methods: We applied a mixed methods research design: 1) semi-structured interviews (n = 9) with partnership members; 2) training members as peer researchers to interview their wider networks; n = 17); 3) an online survey among wider stakeholders (n = 27); and 4) two action learning sets with decision makers. …”
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Consumers' motivation to purchase electric vehicles: a mixed-methods belief elicitation study using theory of planned behavior by Shun Mya Thwe, Weng Marc Lim, Kian Yeik Koay, Derek Ong

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Methods for assessing the connectivity of an undirected bipolar labeled graph taking into account the destructive impact of external threats on its vertices by V. A. Voevodin, N. A. Krahotin

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To the analysis of methods and mechanisms of predictive modeling of onboard equipment reliability when solving problems of aircraft maintenance workload planning by B. I. Ogunvoul, V. D. Budaev, D. O. Sizikov, N. V. Gorbakon, A. V. Vlasova

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Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods by Babak Pourakbari, Setareh Mamishi, Sepideh Keshavarz Valian, Shima Mahmoudi, Reihaneh Hosseinpour Sadeghi, Mohammad Reza Abdolsalehi, Mahmoud Khodabandeh, Mohammad Farahmand

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Quinary Classification of Human Gait Phases Using Machine Learning: Investigating the Potential of Different Training Methods and Scaling Techniques by Amal Mekni, Jyotindra Narayan, Hassène Gritli

“…In the five subphases analysis, RF again performed strongly with a 94.95% accuracy, an RMSE of 0.4461, and an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> score of 90.09%, demonstrating robust performance across all scaling methods.…”
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A systematic review on environmentally friendly hydrogen production methods: comparative analysis of reactor technologies for optimal efficiency and sustainability by Aisha Hamid, Raja Razuan Raja Deris, Siti Nur Amira Shaffee, Taufiq Yap Yun Hin, Divine Senanu Ametefe, Mohd Lokman Ibrahim

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Potential of machine learning methods in operational risk stratification in patients with coronary artery disease scheduled for coronary bypass surgery by E. Z. Golukhova, M. A. Keren, T. V. Zavalikhina, N. I. Bulaeva, D. S. Akatov, I. Yu. Sigaev, K. B. Yakhyaeva, D. A. Kolesnikov

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Automatic Determination of Parting Line Locations for Sand-Casting Process Using CAD System by Tama Reza Setiawan Putra, Fariz Muharram Hasby, Isa Setiasyah Toha, Wisnu Aribowo

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Outcomes following conization and factors on HPV regression among young females in Wuxi by Meng Sun, Bingjie Xu, Jinjin Yu, Yibo Wu

“…Methods We involved 400 women under the age of 35, who underwent colposcopy-guided biopsy after primary infection with high-risk HPV at the affiliated Hospital of Jiangnan University and were histologically confirmed with LSIL/HSIL between June 2018 and December 2022. …”
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Movi: A fast and cache-efficient full-text pangenome index by Mohsen Zakeri, Nathaniel K. Brown, Omar Y. Ahmed, Travis Gagie, Ben Langmead

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The role of local and systemic control methods in the treatment of oligometastatic breast cancer, taking into account biological subtypes (literature review) by T. I. Sevostyanova, T. Yu. Semiglazova, O. I. Ponasenko, V. A. Lyaschenko, Sh. R. Abdullaeva, L. V. Filatova, Zh. V. Bryantseva, B. S. Kasparov, R. M. Paltuev, V. V. Semiglazov, P. V. Krivorotko, S. N. Novikov, V. F. Semiglazov

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The Costs of Digital Health Interventions to Improve Immunization Data in Low- and Middle-Income Countries: Multicountry Mixed Methods Study by Carlo Federici, Maria Verykiou, Marianna Cavazza, Willyhelmina Olomi, Piero Irakiza, Kizito Kayumba, Edith Rodriguez, Luis Enrique Castillo Mendoza, Stefano Malvolti, Claire Hugo, Nyanda Elias Ntinginya, Souleymane Camara, Issa Sabi, Nagnouma Sano, Hassan Sibomana, Jeanine Condo, Aleksandra Torbica, Claudio Jommi, Carsten Mantel, Viviana Mangiaterra

“…However, the extent of cost savings depends on how effectively these digital systems replace traditional paper-based methods and the extent of their use in decision-making, especially at the facility level. …”
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Evaluation of Weed Infestations in Row Crops Using Aerial RGB Imaging and Deep Learning by Plamena D. Nikolova, Boris I. Evstatiev, Atanas Z. Atanasov, Asparuh I. Atanasov

“…Using non-contact detection methods allows for a rapid assessment of weed infestations’ extent and management decisions for practical weed control. …”
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"The impact of the Little Orange Book on how parents/carers manage symptoms of illness in children: A mixed methods study". by Amy Johnson, Kathryn Carruthers, Matthew Breckons, Lynette Harland Shotton

“…Qualitative data were analysed using thematic analysis and quantitative data analysed using descriptive statistical analytical methods.<h4>Results</h4>Three themes were identified within the data: Increasing parental empowerment in managing their child's health, Equality of Access to Health-based Literature and Barriers and Facilitators to using the Little Orange Book.…”
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Empowering orthopedic nurses’ and nurse’s aides through a multimodal geriatric mobile team: a mixed methods study by Bastien Genet, Judith Cohen-Bittan, Rebecca Bonnetain, Alicia Amal, Luca Royer, Marie-Eva Rollet, Pauline Glasman, Angélique Bergeot, Michaël Nicolas, Jean-Sébastien Cadwallader, Jacques Boddaert, Lorène Zerah

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The Impact of Corporate Reputation on Financial Leverage and Trade Credit by Mohsen Khotanlou, Mahdi Kazemiolum, Farzad Ziyaei

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Modern techniques for monitoring wind soil erosion by A. Yu. Romanovskaya, I. Yu. Savin

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Comparative study of agricultural parcel delineation deep learning methods using satellite images: Validation through parcels complexity by Amine Hadir, Mohamed Adjou, Olga Assainova, Gaëtan Palka, Marwa Elbouz

“…This paper emphasizes the critical role of parcel complexity as a powerful lens for assessing the performance of deep learning methods in agricultural parcel delineation. We categorize 14 evaluation metrics into three main groups, global, boundary, and structure metrics, respectively. …”
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