The use of animation tools in the media space of the “Library Night” for the development of master’s students’ teamwork skills by Ekaterina A. Mamaeva, Dmitry N. Gribkov, Vladimir V. Matveev, Tatyana V. Masharova

“…The use of animation tools in the media space of the “Library Night” event contributes to the development of teamwork skills among master’s students: new opportunities for collaboration and project activities, innovative work experience, etc. However, some factors complicate the process of team building in the media space of libraries: the lack of clear leadership in the library, the lack of communication between employees, the weak motivation, and low social status of the profession.…”
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Perceptions of healthcare professionals on the use of a risk prediction model to inform atrial fibrillation screening: qualitative interview study in English primary care by Chris Gale, Jianhua Wu, Ramesh Nadarajah, Catherine Reynolds, Ellen Hamilton, Lydia Shone

“…We aimed to explore HCP perceptions about using risk prediction models for this purpose, and how models could be implemented.Design Semistructured interviews with HCPs engaged in the Future Innovations in Novel Detection of AF (FIND-AF) study. …”
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Enhancing cotton irrigation with distributional actor–critic reinforcement learning by Yi Chen, Meiwei Lin, Zhuo Yu, Weihong Sun, Weiguo Fu, Liang He

“…We used soil and plant state indicators from 5 experimental groups with varying irrigation treatments to calibrate and validate the DSSAT model. Subsequently, we innovatively integrated a distributional reinforcement learning method—an effective machine learning technique for continuous control problems. …”
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Application of ANSYS software package for electromagnetic and thermal analysis of the electric motor of the pilger mill drive seamless pipe manufacturing technology by B. I. Kosimov

“…In this regard, the new equipment should be innovative and in many ways ahead of the existing level of development of the industry. …”
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Challenges and enablers for scaling up interventions targeting non-communicable diseases: a qualitative study applying the Consolidated Framework for Implementation Research to 19... by Josefien van Olmen, Peter Delobelle, Meena Daivadanam, Hassan Haghparast-Bidgoli, Maria Lazo-Porras, J Jaime Miranda, Yuan Li, Rohina Joshi, Amanda G Thrift, Rajesh Vedanthan, Gina Agarwal, Mark D Huffman, Kerstin Klipstein-Grobusch, Naomi Levitt, Dike Ojji, Feng J He, Kamran Siddiqi, Pascal Geldsetzer, Puhong Zhang, Milena Soriano Marcolino, Lal B Rawal, Brian Oldenburg, Helena Teede, Josephine Birungi, Edwin Wouters, Abha Shrestha, Ari Probandari, Mayowa Owolabi, Vilma Irazola, Andrea Beratarrechea, Keiko Nakamura, Gindo Tampubolon, Zulma Ortiz, Violet Naanyu, Jaap Koot, Anusha Ramani-Chander, Stephen Sherwood, Monika Martens, Gade Waqa, Maria Eugenia Esandi, Sujarwoto Sujarwoto, Laura Antonietti, Jan-Walter De Neve, Sayoki G Mfinanga, Antonio Luiz Pinho Ribeiro

“…Generated themes were mapped systematically to four out of five domain categorisations of the Consolidated Framework for Implementation Research (CFIR); the innovation domain fell outside the scope of this study.Results Highlighted findings using CFIR are: (i) outer setting: influence of politics, lack of coordination between government departments and differing agendas towards NCDs hindered implementation while reliable and trustworthy government connections proved useful; (ii) inner setting: commitment of resources for implementation was a challenge while research capacity, work culture and trustworthy networks facilitated implementation; (iii) individuals: high-level stakeholder support and leadership was essential; (iv) process: extensive time and efforts required for stakeholder engagement towards local contextualisation was challenging, while collaborating, joint reflection, effective communication and adaptation facilitated. …”
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USING A DIDACTIC TOOL WITH IT-SUPPORT FOR TEACHING GEOGRAPHY IN A SPECIAL SCHOOL IN SLOVAKIA by Viktor Hladush, Slávka Bendíková, Barbora Kovačova, Marcela Čarnická

“…To showcase the effectiveness of our innovative approach, we conducted an experimental test using the developed electronic textbook with IT support in one of the special schools in Slovakia. …”
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GANCE: Generative Adversarial Network Assisted Channel Estimation for Unmanned Aerial Vehicles Empowered 5G and Beyond Wireless Networks by Chirag Gupta, Ramani Kumar Das, Rabindra K. Barik, Shahazad Niwazi Qurashi, Diptendu Sinha Roy, Satyendra Singh Yadav

“…Orthogonal time frequency space (OTFS) is an innovative modulation technique designed to support reliable communication in rapid mobility environments for 5G and beyond applications, effectively addressing challenges posed by Doppler shifts and multipath propagation. …”
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Study of economically valuable traits and technological properties in maize from the Zea mays L. collection of VIR by M. R. Gonikova, V. I. Khoreva, V. G. Goldshtein, L. P. Nosovskaya, L. V. Adikaeva, E. B. Khatefov

“…Background. Innovative technologies for deep processing of grain are widely used in maize grain processing with the release of the grain germ for subsequent extraction of oil and starch from it or production of sugar substitutes in the form of fructose syrup and alcohol, bakery or feed protein. …”
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Implementation of a sexual health clinic in an oncology setting: patient and provider perspectives by Andrew G. Matthew, Taylor Incze, Elisa Stragapede, Steven Guirguis, Sarah E. Neil-Sztramko, Dean S. Elterman

“…Despite this, sexual health clinics (SHCs) remain rare in cancer centres across Canada. An innovative clinic was developed at Princess Margaret Cancer Centre in Toronto, Canada to address this significant gap in survivorship care. …”
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Comparative analysis of sloshing effects on elevated water tanks’ dynamic response using ANN and MARS by Tahera, Neethu Urs, K. Shashi Raj, Rakesh Kumar, Harish Soundalgekar, T. Deepa, Mohd Asif Shah

“…The impact of different tank geometries, fluid characteristics, and seismic ground motions on the dynamic response of raised water tanks may be investigated in future studies. This research innovatively employs ABAQUS software to simulate the stabilizing effect of sloshing in steel structures during earthquakes. …”
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Interpretable machine learning models for predicting skip metastasis in cN0 papillary thyroid cancer based on clinicopathological and elastography radiomics features by Xiaohua Yao, Mingming Tang, Min Lu, Jie Zhou, Debin Yang

“…SHAP analysis identified five key determinants of SLNM: three radiomics features from elastography images, one clinical variable, and one pathological variable.ConclusionOur evaluation highlights the XGBoost model, which integrates elastography radiomics and clinicopathological data, as the most effective ML approach for the prediction of SLNM in cN0 PTC patients with increased risk of LNM. This innovative model significantly enhances the accuracy of risk assessments for SLNM, enabling personalized treatments that could reduce postoperative metastases in these patients.…”
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An Adaptive Finite Resolution Selection Scheme for RIS Assisted NOMA Networks by Shady M. Ibraheem, Mona Shokair, Mohamed E. Nasr, Nancy Alshaer

“…Non-orthogonal multiple access (NOMA) and reconfigurable intelligent surface (RIS) have recently been recognized as innovative technologies for future beyond fifth generation (B5G) wireless networks due to their ability to improve the spectral efficiency and the wireless propagation properties, respectively. …”
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Human settlements and productive sectors locations in The argentine patagonian plateau by Luis Alberto Bertani, María de los Ángeles Tesoniero, Lorena Alicia Conejeros Bilbao

“…The project is endorsed by several Argentine universities and science and technology organizations such as the National Ministry of Science, Technology and Productive Innovation and researchers from the National Universities of Comahue, La Plata and Patagonia Austral. …”
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Ethnic Architectural Heritage Identification Using Low-Altitude UAV Remote Sensing and Improved Deep Learning Algorithms by Ting Luo, Xiaoqiong Sun, Weiquan Zhao, Wei Li, Linjiang Yin, Dongdong Xie

“…According to an in-depth comparative analysis, the innovative method proposed in this paper solves the problem of insufficient feature extraction of sample edge pixels and substantially reduces interference from complex environmental factors such as roads, building shadows, and vegetation with the recognition results for ethnic architecture. …”
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Real-time detection and monitoring of public littering behavior using deep learning for a sustainable environment by Eaman Alharbi, Ghadah Alsulami, Sarah Aljohani, Waad Alharbi, Somayah Albaradei

“…The Surveillance and Waste Notification (SAWN) system presents an innovative solution to combat public littering. Leveraging surveillance cameras and advanced computer vision technology, SAWN aims to identify and reduce instances of littering. …”
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A harmonized dataset relating alternative farmer management practices to crop yield, soil organic carbon stock, nitrous oxide emissions, and nitrate leaching generated using IPCC m... by Roberta Calone, Angela Fiore, Guido Pellis, Maria Luz Cayuela, Gabriele Mongiano, Alessandra Lagomarsino, Simone Bregaglio

“…By providing a harmonized data source and an innovative metric, this dataset allows users to explore trade-offs associated with alternative management practices across four key agricultural components and assess their impact on perceived agroecosystem sustainability.…”
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Gestational weight gain and increased risk of cesarean delivery across body mass index categoriesAJOG Global Reports at a Glance by Pearl A. McElfish, PhD, Britni L. Ayers, PhD, Nicola L. Hawley, PhD, Aaron Caldwell, PhD, Austin Porter, DrPh, Michael D. Macechko, MD, Donya Watson, MD, Jennifer A. Callaghan-Koru, PhD, James P. Selig, PhD, Jennifer A. Andersen, PhD, Nirvana Manning, MD, Lanita White, PharmD, Enrique Gomez-Pomar, MD, Clare C. Brown, PhD

“…Reducing cesarean deliveries is a national goal of Centers for Disease Control and Prevention Healthy People 2030, the American College of Obstetricians and Gynecologists, and the Alliance for Innovation on Maternal Health. OBJECTIVE: This study aimed to examine if excessive gestational weight gain is associated with increased risk of cesarean delivery across multiple body mass index categories. …”
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Registered Nurses' Experience of Person‐Centred Care Through Digital Aids in Primary Care Setting During the COVID‐19 Pandemic by Annika Kjällman Alm, Ove Hellzen, Malin Rising‐Holmström

“…This meant implementing innovative digital tools or artificial intelligence and developing a mental frame of mind that embraces new ways and activities to perform primary care through technology. …”
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Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks by Fenglin Liu, Chenyu Wang, Zhiqiang Tian, Shaoyi Du, Wei Zeng

“…The present study introduces an innovative human body behavior recognition framework anchored in skeleton sequences and multi-stream fused spatiotemporal graph convolutional networks. …”
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Impact of the National Drug Price Negotiation policy on the price, usage, and affordability of anticancer medicines in Shandong Province, China by Yaqun Sun, Yan Qiang, Yongxuan Duan, Yan Song, Yan Song

“…ObjectiveIn order to reduce the price and increase the accessibility of innovative medicines, China has implemented the National Drug Price Negotiation (NDPN) since 2016. …”
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