Remote monitoring of patients with axial spondyloarthritis during the COVID-19 pandemic: results and prospects of using the information technology “Aspine” by D. G. Rumiantceva, A. M. Lila, Sh. Erdes

“…During a pandemic, messages from patients came in daily from 1 to 16.Their review and preparation of a response by a doctor per call took an average of 5 minutes; usually it took no more than 30 minutes to answer each day.Conclusion. The “ASpine” program for patients with axial spondyloarthritis during a difficult situation in the country caused by restrictive means of preventing COVID-19 provided real help as an alternative method of communication with the attending physician. …”
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Denitrifying microbial genes quantification attests inference for potential N2O emissions in sugarcane soils by enzymatic bioanalysis by Luciano Ricardo de Oliveira, Dora Inés Kozusny-Andreani, Gabriel Gustavo Tavares Nunes Monteiro, Ieda de Carvalho Mendes, Raffaella Rossetto, Luiz Sergio Vanzela, Gisele Herbst Vazquez, Acacio Aparecido Navarrete

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Self SOC Estimation for Second-Life Lithium-Ion Batteries by Joelton Deonei Gotz, Emilson Ribeiro Viana, Jose Rodolfo Galvao, Fernanda Cristina Correa, Milton Borsato, Alceu Andre Badin

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A Vision-Based Approach for Estimating Contact Forces: Applications to Robot-Assisted Surgery by C. W. Kennedy, J. P. Desai

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Modeling the Impact of Human Awareness and Insecticide Use on Malaria Control: A Fractional-Order Approach by Mlyashimbi Helikumi, Thobias Bisaga, Kimulu Ancent Makau, Adquate Mhlanga

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Development of digital twin of CNC unit based on machine learning methods by Yu. G. Kabaldin, D. A. Shatagin, M. S. Anosov, A. M. Kuzmishina

“…This provides a highly accurate assessment of the production capacity of the enterprise under the development of the production program. In addition, equipment failures can be identified in real time on the basis of the intelligent analysis of the distributed sensor system data.…”
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Artificial Neural Network-based Model for Predicting Cardiologists’ Over-apron Dose in CATHLABs by Reza Fardid, Fatemeh Farah, Hossein Parsaei, Hadi Rezaei, Mohammad Vahid Jorat

“…Future research should focus on broader validation and integration into real-time monitoring systems.…”
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Machine Learning Ship Classifiers for Signals from Passive Sonars by Allyson A. da Silva, Lisandro Lovisolo, Tadeu N. Ferreira

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Measurement of aluminum oxide film by FabryâPérot interferometry and scanning electron microscopy by Farzia Karim, Tanujjal Bora, Mayur Chaudhari, Khaled Habib, Waleed Mohammed, Joydeep Dutta

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Modeling Zika Virus Disease Dynamics with Control Strategies by Mlyashimbi Helikumi, Paride O. Lolika, Kimulu Ancent Makau, Muli Charles Ndambuki, Adquate Mhlanga

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A probabilistic interpretation of the Miner number for fatigue life prediction by A. Fernández-Canteli, S. Blasón, J.A.F.O. Correia, A.M.P. de Jesus

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Estimating similarity and distance using FracMinHash by Mahmudur Rahman Hera, David Koslicki

“…Practical contributions We also present frac-kmc, a fast and efficient FracMinHash sketch generator program. frac-kmc is the fastest known FracMinHash sketch generator, delivering accurate and precise results for cosine similarity estimation on real data. frac-kmc is also the first parallel tool for this task, allowing for speeding up sketch generation using multiple CPU cores – an option lacking in existing serialized tools. …”
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SGPLane: Efficient lane detection via sampled grid points for autonomous driving by Xuewei Tang, Mengmeng Yang, Kun Jiang, Tuopu Wen, Benny Wijaya, Diange Yang

“…Our model is validated on the typical dataset and real-world driving scenes. Experiments on lane detection benchmarks show that our method outperforms previous methods with accuracy score of 96.84% on Tusimple dataset with high FPS and 76.85% on our real-world dataset.…”
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Penerapan Metode Hybrid Waterfall-RAD pada Sistem Antrian Web untuk Optimalisasi Layanan di Pengadilan Negeri Bale Bandung by Mamok Andri Senubekti, Maria Angela Kartawidjaja, Gede Bagia Wijaya Adyana

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Optimalisasi Penggunaan Aplikasi Edu-Cons Pada Layanan Informasi Untuk Mengurangi Academic Burnout Mahasiswa Pada Mata Kuliah Bimbingan dan Konseling by afifatus sholihah, Syahriman Syahriman, I Wayan Dharmayana, Anna Ayu Herawati

“…The academic field demands optimal learning in real contexts that have an impact on students in everyday life. …”
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Teachers and technology: The perspective of digital citizenship by Rini Triastuti

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Quantitative Assessment of EV Energy Consumption: Applying Coast Down Testing to WLTP and EPA Protocols by Teeraphon Phophongviwat, Piyawong Poopanya, Kanchana Sivalertporn

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Accurate identification of locally aneuploid cells by incorporating cytogenetic information in single cell data analysis by Ziyi Li, Ruoxing Li, Irene Ganan-Gomez, Hussein A. Abbas, Guillermo Garcia-Manero, Wei Sun

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A Comprehensive Approach to Rustc Optimization Vulnerability Detection in Industrial Control Systems by Kaifeng Xie, Jinjing Wan, Lifeng Chen, Yi Wang

“…The implemented system, RustOptFuzz, has been evaluated on both custom datasets and real-world programs. Compared with state-of-the-art tools, RustOptFuzz improves vulnerability discovery capabilities by 16%–50% and significantly reduces vulnerability reproduction time, thereby enhancing the overall efficiency of detecting optimization-related vulnerabilities in Rustc, providing key technical support for the reliability of industrial control systems.…”
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Análisis del tiempo de clase en EF y propuestas para su optimización (Analysis of class time in physical education and proposals for optimization) by Celia María Ruiz Heredia, Amador Jesús Lara Sánchez, Francisco José López Gallego, Javier Cachón Zagalaz, Pedro Valdivia Moral

“…Results: The recordings were digitized with the Windows Media program, and the SPSS19 program for Windows was used for statistics. …”
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