Biometric analysis of the dental arches and teeth position in partially edentulous patients by B. M. Mirchuk, Ya. V. Maksymov

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Operation Analysis of Automated Unit for Magnetic Pulse Treatment of Garden Strawberry by A. Yu. Izmaylov, D. O. Khort, R. A. Filippov, A. I. Kutyrev, I. G. Smirnov

“…The coefficient of variation of the obtained values (a measure of deviation from the standard value) when using the adaptation system of the working elements is 2.35 times less than in case with a disabled system. …”
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Analysis of Solar Eruptions Deflecting in the Low Corona: Influence of the Magnetic Environment by Abril Sahade, Angelos Vourlidas, Cecilia Mac Cormack

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Biochemical Parameters of Laboratory Animals in Iraq: A Meta-analysis Study by Ahmed A Hussein, Mohammad O Dahl, Nashaat G Mustafa

“… Our objective in this work was to estimate normal values of biochemical parameters in laboratory animals in Iraq. …”
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Research Metrics in Architecture: An Analysis of the Current Challenges Compared to Engineering Disciplines by Omar S. Asfour, Jamal Al-Qawasmi

“…The Hirsch index (‘<i>h</i>-index’) is a widely recognized metric for assessing researchers’ impact, considering both the quantity and quality of their research work. Despite its global acceptance, the <i>h</i>-index has created some uncertainty about appropriate benchmark values across different disciplines. …”
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Biochemical Parameters of Laboratory Animals in Iraq: A Meta-analysis Study by Ahmed A Hussein, Mohammad O Dahl, Nashaat G Mustafa

“… Our objective in this work was to estimate normal values of biochemical parameters in laboratory animals in Iraq. …”
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Comparative analysis of spring mechanisms of vibroprotective chairs of road construction machines by Korytov M.S., Sherbakov V.S., Pochekueva I.E.

“…A comparative analysis showed the advantages of the rhombic and three-point mechanisms over the Mezis truss in terms of providing less curvature of the functions of the deflecting force from the displacements of the working point, as well as a smaller number of springs. …”
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Deterministic and Stochastic Analysis of Fractional-Order Legendre Filter with Uncertain Parameters by Mohammed A. Hassan, Andrew Amgad, Osama H. Galal

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Fatigue Strength Analysis of the High-speed Diaphragm Sun-gear Shaft by Xiaopeng Wang, Shijun Liu, Huijun Yao, Wenbo Xu

“…Result shows that strength of sun-gear shaft is meet the requirements under single or multi-coupling loads within the range of working parameters. There is a nonlinear relationship between speed and stress, the great stress is appeared at the alveolar roots, its proportion of stress occupied increases alternately with coupling load. …”
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“I consider religious decline to be the reason for hooliganism in the village...”: priest Vasily Yagunov’s report to the dean of the 33rd district of Tomsk and Altai diocese (1913)... by Aleksey Sushko

“…In this work, a source study of the report of priest Vasily Yagunov to the dean of the 33rd deanery district of the Tomsk diocese, written in 1913, was carried out. …”
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Analysis of the Gaia Data Release 3 Parallax Bias at Bright Magnitudes by Ye Ding, Shilong Liao, Shangyu Wen, Zhaoxiang Qi

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Numerical Analysis of AlGaAs/InGaAs/GaAs pHEMT by A. V. Sapozhnikov, I. S. Pushnitsa, A. L. Dudin, V. V. Perepelovskiy

“…Particular attention is paid to the analysis of the drain and transfer characteristics taking into account 10% deviations from the pHEMT parameters specified by the manufacturer. …”
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Methodological problems of assessing industry average financial indicators (by the example of fertilizer producing companies) by O. V. Berezhnaya, A. V. Savtsova, N. V. Zelensky

“…The authors used deterministic modeling methods to assess the impact of companies that do not disclose their reports in 2022 in accordance with the Decree of the Government of the Russian Federation of March 12, 2022 No. 351; methods of financial analysis and modeling; statistical methods (weighted arithmetic mean, median, MAD - Median absolute deviation, outlier assessment based on interquartile ranges, grouping methods). …”
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DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis by Hasina Attaullah, Sanaullah Sanaullah, Annika Peters, Qazi Arbab Ahmed, Justin Baudisch, Thorsten Jungeblut

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The Integration of Internet of Things and Machine Learning for Energy Prediction of Wind Turbines by Christos Emexidis, Panagiotis Gkonis

“…After examining a dataset from IoT devices that included weather data, the models provided substantial insights regarding their capabilities and responses to preprocessing, as well as each model’s reaction in terms of statistical performance deviation indicators. Ultimately, the data analysis and the results from metrics and criteria show that Random Forest regression is more suitable for weather condition datasets than the other two regression models. …”
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Determination of heavy metals in soil and biomass by the application of potentiometric stripping analysis by Dragan M. Stević, Ignjatović Ivana Sredović

“…In this paper the determination of lead, cadmium and zinc in soil and biomass was performed using potentiometric stripping analysis (PSA). In order to establish the optimal experimental conditions for PSA of Pb, Cd and Zn, the influence of pH value, time of metals extraction, stirring rate of the solution and the thickness of the mercury layer, as the working electrode, was investigated. …”
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Meteorological Temperature and Humidity Prediction from Fourier-Statistical Analysis of Hourly Data by Alejandro Castañeda-Miranda, M. de Icaza-Herrera, Víctor M. Castaño

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Free Vibration Analysis of Composite Plates via Refined Theories Accounting for Uncertainties by G. Giunta, E. Carrera, S. Belouettar

“…The free vibration analysis of composite thin and relatively thick plates accounting for uncertainty is addressed in this work. …”
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Implementation of SVM Algorithm to Predict Song Popularity based on Sentiment Analysis of Lyrics by Quiin Latifah Almatin Lubis, Arif Akbarul Huda

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AI-based algorithms for estimating hydrochar properties in terms of biomass ultimate analysis by Raouf Hassan, Ali sharifzadegan, Alireza Baghban

“…By demonstrating these models' superior accuracy and reliability, this work highlights the feasibility of machine learning-driven predictive frameworks for optimizing biomass conversion into hydrochar.…”
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