Improving National Forest Mapping in Romania Using Machine Learning and Sentinel-2 Multispectral Imagery by Mohamed Islam Keskes, Aya Hamed Mohamed, Stelian Alexandru Borz, Mihai Daniel Niţă

“…By focusing on both the methodological advancements in machine learning applications and the rigorous, detailed empirical forest data collection, this study provides a clear solution to the problem of obtaining reliable, spatially detailed forest attribute maps.…”
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Acylated glucopyranosides: FTIR, NMR, FMO, MEP, molecular docking, dynamics simulation, ADMET and antimicrobial activity against bacterial and fungal pathogens by Nasrin Akter, Supriyo Saha, Md. Ahad Hossain, Kabir M. Uddin, Ajmal R. Bhat, Sumeer Ahmed, Sarkar M.A. Kawsar

“…The chemical structures of the newly synthesized analogs were ascertained by analyzing their physicochemical, elemental, FTIR, and NMR spectroscopic data. In vitro antimicrobial tests against five bacteria and two fungi indicated the promising antibacterial functionality of these synthesized analogs compared with their antifungal activity. …”
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A Quantitative Particle-Based Approach for the Geometallurgical Assessment of Tailings Deposits by Rosie Blannin, Max Frenzel, Raimon Tolosana-Delgado, Kai Bachmann, Alexandra Gomez Escobar, Lucas Pereira, Jens Gutzmer

“…This study explores a novel combination of methods for incorporating particle data, derived from automated mineralogy, into geometallurgical models of tailings deposits to better understand their reprocessing potential and the economic feasibility of re-mining. …”
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Smart city rankings and startup ecosystems: An empirical analysis of inverse correlation across 77 smart cities by Aleksandra Kuzior, Viktoriia Marhasova, Viera Zozuľakova, Maria Kočnerova, Vitaliia Koibichuk, Lyudmila Ryabushka, Tetiana Vasylieva

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Characterisation and synchronisation of a netted software defined radio radar by Ferran Valdes Crespi, Angel Slavov, Matthias Weiß, Peter Knott, Daniel O’Hagan

“…The Universal software radio peripheral model X310 with two different daughterboard models as RF front‐end was used as SDR on either radar node. A network combining data and synchronisation purposes allowed the radar nodes under test to operate synchronously. …”
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Completeness of repeated patient-reported outcome measures in adult rehabilitation: a randomized controlled trial in a diverse clinical population by Anne-Lene Sand-Svartrud, Ingvild Kjeken, Renate Foss Skardal, Gunhild M. Gjerset, Tonje Jossie Johnsen, Anne Dorte Lyken, Hanne Dagfinrud, Rikke Helene Moe

“…Completeness was measured as the extent of present applicable PROM data at each time point. In addition, we assessed response patterns in terms of dropout rates and intermittently missed assessment events. …”
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A Method Utilizing an Image Visibility Graph to Portray the Arrangement of Genomic Data Sequencing, Gene Frequencies for The Peptidoglycan-Associated Lipoprotein (Pal) Gene in Bruc... by Ali Adel DAWOOD

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Assessment of Oral Health Status, Care Seeking Behaviours, and Oral Health-Related Quality of Life among Indian Adults Using the World Dental Federation’s Digital Application by Lakshmi Balraj, Kunal C. Oswal, Ramana B. V. Reddy, Pooja D. Kunjan, Viswa C. Chandu, Manu R. Mathur

“…Materials and Methods: This analytical cross-sectional survey included dentists from urban and rural India and the patients visiting their facilities. The data were collected using the digital application developed by the FDI as a part of the Oral Health Observatory (OHO) project between December 2018 and April 2020 among patients seeking care at private oral healthcare practices. …”
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Élaboration d'une typologie des formes de vallées. Application au bassin de la Maine (plateaux du Nord-Ouest de la France) by Ziad Alhaskeer, Jeannine Corbonnois, François Messner, François Laurent

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Does teaching quality matter for Nordic primary school students’ mathematics confidence and mathematics achievement? A multilevel structural equation analysis of Nordic TIMSS 2019... by Lena Asp, Alli Klapp, Monica Rosén

“…To capture the hierarchical structure of the data, multilevel structural equation modelling (MSEM) is used as it keeps individual and classroom variation separate when investigating relations between teaching quality, mathematics confidence and mathematics achievement. …”
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Enhancing Extreme Learning Machine Robustness via Residual-Variance-Aware Dynamic Weighting and Broyden–Fletcher–Goldfarb–Shanno Optimization: Application to Metro Crowd Flow Predi... by Lihui Wang, Jianguang Xie

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Use of integrated genomic surveillance by local public health authorities: Recommendations based on a mixed-methods study of current adoption, applications and success factors, Ger... by Simone Scheithauer

“…Background Integrated genomic surveillance (IGS), i.e. the integrated analysis of pathogen whole genome sequencing and classical epidemiological data, can contribute substantially to the disease surveillance and infection prevention activities of local public health authorities (LPHAs). …”
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Was size of healthcare institution a factor affecting changes in healthcare utilisation during the COVID-19 pandemic in Korea? A retrospective study design analysing national healt... by Chris Lane, Hyun-Ji Lee, Young-Taek Park, Jinhyung Lee

“…This fact has political implications for how healthcare policy-makers should prepare for the next infectious disease pandemic.…”
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Cryptic speciation in arid mountains: An integrative revision of the Pristurus rupestris species complex (Squamata, Sphaerodactylidae) from Arabia based on morphological, genetic a... by Bernat Burriel-Carranza, Thore Koppetsch, Juliana Tabares, Adrián Talavera, Gabriel Mochales-Riaño, Maria Estarellas, Benjamin Wipfler, Johannes Els, Marc Simó-Riudalbas, Dean Adams, Saleh Al Saadi, Joan Garcia-Porta, Karin Tamar, Jiří Šmíd, Salvador Carranza

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D2LFS2Net: Multi‐class skin lesion diagnosis using deep learning and variance‐controlled Marine Predator optimisation: An application for precision medicine by Veena Dillshad, Muhammad Attique Khan, Muhammad Nazir, Oumaima Saidani, Nazik Alturki, Seifedine Kadry

“…Instead of flipping and rotating data, the outputs from the middle phases of the hybrid enhanced technique are employed for data augmentation in the next step. …”
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Intelligence Artificielle et mobilité en Afrique subsaharienne : contribution à l’analyse des applications du domaine des transports et de la logistique by Alain KIYINDOU, Gilbert CAPO-CHICHI, Kossi AMESSINOU

“…A field survey allows us to see the number of ingenious uses of mobility applications. This highlights the critical importance of mastering the analysis and management of big, open data in an environment lacking in data storage capacity in the era of artificial intelligence.…”
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Cyber attack detection in IOT-WSN devices with threat intelligence using hidden and connected layer based architectures by S. Nandhini, A. Rajeswari, N. R. Shanker

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Cultural adaptation of an evidence-based intervention to address mental health among youth affected by armed conflict in Colombia: An application of the ADAPT-ITT approach and FRAM... by María Pineros-Leano, Alethea Desrosiers, Natalia Piñeros-Leaño, Andrés Moya, Catalina Canizares-Escobar, Lyann Tam, Theresa S. Betancourt

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Application of “high-fidelity and high-resolution” processing technology in thin reservoir identification: A case study of the deep Permian Maokou Formation in Penglai area, centra... by PENG Haotian, HE Qinglin, CHEN Kang, ZENG Ming, HE Zongqiang, TU Zhihui, KONG Lingxia, QU Bozhang

“…Subsequently, wavelet decomposition and high-frequency wavelet replacement are conducted to expand the high-frequency spectrum while maintaining amplitude and fidelity, significantly improving seismic data resolution.Application ResultsThe test area spans 200 km², using an observation system with 24 lines, 7 sources, 270 receivers, and 180-fold coverage. …”
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DADOS INTERFEROMÉTRICOS PARA MODELAGEM TOPOGRÁFICA E CARACTERIZAÇÃO AMBIENTAL DO CAFÉ EM ESCALA MUNICIPAL / Interferometric data for topographic modeling and environmental characte... by Bernardo Friedrich Theodor Rudorff, Maurício Alves Moreira, Marco Aurélio Barros

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