Ribonuclease activity as a new prospective disease resistance marker in potato by E. A. Trifonova, S. M. Ibragimova, O. A. Volkova, V. K. Shumny, A. V. Kochetov

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The Impact of Monetary Policy on Loan and Deposit Rates in the Context of Limited Capital Mobility in Russia by Elizaveta P. Dobronravova

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Machine Learning-Based Environment-Aware GNSS Integrity Monitoring for Urban Air Mobility by Oguz Kagan Isik, Ivan Petrunin, Antonios Tsourdos

“…This study introduces a novel machine learning-based GNSS integrity monitoring framework that incorporates environment recognition to create environment-specific error models. Using a comprehensive Hardware-in-the-Loop (HIL) simulation setup, extensive data were generated for suburban, urban, and urban canyon environments to train and validate the models. …”
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Study on the theoretical calculation method of jet precooling evaporation of the TBCC engine by Jianyong Zhu, Yuchen Feng, Taiqiu Liu, Xin You

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Compressive Strength Prediction Using Coupled Deep Learning Model with Extreme Gradient Boosting Algorithm: Environmentally Friendly Concrete Incorporating Recycled Aggregate by Mayadah W. Falah, Sadaam Hadee Hussein, Mohammed Ayad Saad, Zainab Hasan Ali, Tan Huy Tran, Rania M. Ghoniem, Ahmed A. Ewees

“…In this regard, the results confirmed that the DLNN model attained the highest value of prediction performance with minimal root mean squared error (RMSE = 2.23). The study revealed that the highest prediction performance could be attained by increasing the number of variables in the prediction problem and using 90%-10% data division. …”
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Organization of First Aid in the Arkhangelsk Region by A. V. Baranov

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Estimating leaf phosphorus concentration in rice by combining vegetation indices, texture features, and water indices from UAV multispectral imagery by Canh Van Le, Lan Thi Pham

“…The S4, which integrates all VIs, TFs, and WIs, provides the highest accuracy in estimating leaf P concentration with root mean square error values of 0.035. The research findings indicate that leaf P concentration differs between the two rice varieties, TBR225 and J02. …”
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Silicon whisker pressure sensors for noise reduction in silencers by Anatoliy Druzhinin, Oleksiy Kutrakov, Roman Zinko

“…The article contains the results of research and development of a system for active noise damping of an automobile engine. …”
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Headache Disability Questionnaire: cross-cultural adaptation and validation of the Turkish version by Halime Arikan

“…Results The Turkish version of the HDQ demonstrated good reliability, with ICC and Cronbach’s α values of 0.842 and 0.914, respectively. Standard error measurement (SEM) and Minimal Detectable Change (MDC) values were 5.89 and 16.33 units. …”
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Evaluating AquaCrop Model for Winter Wheat under Various Irrigation Conditions in Turkey by Sema Kale, Sevinç Madenoğlu

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The effect of climatic variables on vegetation indices (Case study: Orange orchards in Hassan Abad, Darab County by ALI hashemi, Hojjatollah Yazdanpanah, Mehdi Momeni

“…The results indicated that this method enhanced the explanatory power of the model and reduced the forecasting error.…”
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UAS Remote Sensing for Coastal Wetland Vegetation Biomass Estimation: A Destructive vs. Non-Destructive Sampling Experiment by Grayson R. Morgan, Lane Stevenson, Cuizhen Wang, Ram Avtar

“…Destructive sampling models, particularly those using the Normalized Difference Vegetation Index (NDVI) and Difference Vegetation Index (DVI), achieved the lowest root mean square error (RMSE) values (as low as 70.91 g/m²), indicating higher predictive accuracy. …”
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Comparative Analysis of Wind Energy Potential with Nakagami and Weibull Distribution Methods for Wind Turbine Planning by Suriadi Suriadi, Muna Nabilah, Muzakir Zainal, Muhammad Yanis, Marwan Marwan, Muzailin Affan

“…The comparison of these two distributions produces a Weibull distribution that is superior to the Nakagami distribution for both locations, where the Weibull distribution has a smaller error value and produces a WEP value that is in accordance with the actual/observable data compared to the Nakagami distribution. …”
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RESULTS OF NEW RUSSIAN INTRAOCULAR LENSES IMPLANTATION by D. D. Dementyev, M. V. Sysoeva, A. V. Shipunova, I. M. Ivanchikova

“…In all cases, the refraction obtained was consistent with the prediction. The error in calculating the IOL was minimal and permissible. …”
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Model of a Photovoltaic Module for the MatLab/Simulink SimPowerSystems Library by D. I. Zalizny

“…The relevance of research is caused by the increase of the number of photovoltaic power plants in the Republic of Belarus and, accordingly, the need to solve problems of diagnostics of photovoltaic modules. …”
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Dynamic Modeling and Analysis of Industrial Robots for Enhanced Manufacturing Precision by Claudius Birk, Martin Kipfmüller, Jan Kotschenreuther

“…Objective functions based on the Frequency Response Assurance Criterion (FRAC) and Root Mean Square Error (RMSE) metrics were employed, utilizing a frequency-dependent weighting function. …”
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Advancements in Fiber-Reinforced Polymer (FRP) Retrofitting Techniques for Seismic Resilience of Reinforced Concrete Structures by Naser Kabashi, Milot Muhaxheri, Enes Krasniqi, Ylli Murati, Florentina Latifi

“…The finite element analysis demonstrated strong prediction accuracy, with error margins below 5% when compared to experimental results. …”
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A Method of Simultaneous Vehicle Localization and Roadside Pole-shaped Object Inventory Creation Based on Integrated LiDAR-IMU-GNSS System by YUAN Chao, PAN Wenbo, CHEN Zhiwei, HUANG Wenyu, LI Yuanzhengyu, YANG Zhenyu

“…The experimental results demonstrated the centimeter-level vehicle positioning accuracy of the proposed system in real-time automatic creation of roadside pole-shaped object inventories, boasting an average positioning error within 3 cm.…”
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Multiple channels, low-cost, and dual data storage data logger for building a soil temperature network by Gustavo N. Santiago, Ignacio Ciampitti

“…Temperature measurement is critical in many areas of research, particularly in agriculture, where it can have a significant impact on crop health and yield. …”
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An automated and reliable method for breath detection during variable mask pressures in awake and sleeping humans. by Chinh D Nguyen, Jason Amatoury, Jayne C Carberry, Danny J Eckert

“…However, this is an empirical operation potentially prone to human error. This paper presents a new algorithm for breath detection during variable mask pressures in awake and sleeping humans based on physiological landmarks detected in the airflow or epiglottic pressure signal (Pepi). …”
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