Stroke in children and adolescents: topical problems of pre-hospital diagnostics by Y. A. Khachaturov, I. O. Shchederkina, N. F. Plavunov, A. M. Sidorov, E. E. Petryaykina, I. P. Vytkovskaya, V. A. Kadyshev

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Optimized Multi-Scale Detection and Numbering of Teeth in Panoramic Radiographs Using DentifyNet by Salih Taha Alperen Ozcelik, Huseyin Uzen, Abdulkadir Sengur, Muammer Turkoglu, Adalet Celebi, Nebras M. Sobahi

“…Manual tooth detection and numbering in panoramic radiographs are time-consuming and prone to human errors, negatively impacting diagnostic accuracy and treatment outcomes. …”
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Development of mobile application for tree height measurement using geometric principle: Establishing global database of tree height and data by Mubarak Mahmud, Jianhong Lin, Mojtaba Houballah, Ibrahim Garba Buba, Laure Barthes

“…Accurate measurement of tree height is essential for ecological research, forest management, and carbon sequestration assessments. …”
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Disorder robust, ultra-low power, continuous-wave four-wave mixing in a topological waveguide by Choi Ju Won, Sohn Byoung-Uk, Chen George F.R., Gao Hongwei, Mitchell William J., Ng Doris K.T., Tan Dawn T.H.

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A Sub-Hourly Precipitation Dataset from a Pluviographic Network in Central Chile by Claudia Sangüesa, Alfredo Ibañez, Roberto Pizarro, Cristian Vidal-Silva, Pablo Garcia-Chevesich, Romina Mendoza, Cristóbal Toledo, Juan Pino, Rodrigo Paredes, Ben Ingram

“…Each station’s data was subjected to quality control procedures, including manual validation and correction of digitization errors to ensure data integrity. The dataset reveals the significant temporal variability of rainfall in central Chile, capturing both short-duration high-intensity events and longer precipitation patterns. …”
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Reduced-order modeling of lattice structures through iterative beam fitting and static mesoscale projection by Nicolas Grünfelder, Manmit Padhy, Alaa Armiti-Juber, Seyed Morteza Seyedpour, Navina Waschinsky, Tim Ricken

“…This reduction in model complexity is accompanied by a local fitting process of the individual unit cells, also referred to as the mesoscale, that mitigates the errors typically introduced by the simplified beam representation. …”
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Heat Transfer Analysis of Passive Residual Heat Removal Heat Exchanger under Tube outside Boiling Condition by Yanbin Liu, Xuesheng Wang, Qiming Men, Xiangyu Meng, Qing Zhang

“…For the tube outside transition region, a formulation is put forward to reduce error based on the Rohsenow subcooled boiling correlation.…”
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Investigation of deformation of shell with waffle reinforcement during rolling and development of method for compensation of deviations forms by E. V. Krivonos

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Canola Yield Estimation Using Remotely Sensed Images and M5P Model Tree Algorithm by Ileana De los Ángeles Fallas Calderón, Muditha K. Heenkenda, Tarlok S. Sahota, Laura Segura Serrano

“…The model’s prediction accuracy was high, with a correlation coefficient (r) of 0.78 and a mean squared error of 7.2 kg/ha compared to field samples. In conclusion, this study provided an important insight into canola growth using remote sensing. …”
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Study of Changing Land Use Land Cover from Forests to Cropland on Rainfall: Case Study of Alabama’s Black Belt Region by Salem Ibrahim, Gamal El Afandi, Amira Moustafa, Muhammad Irfan

“…The control run demonstrated a Root Mean Square Error (RMSE) of 1.64, indicating accurate rainfall predictions. …”
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Kolmogorov–Arnold Networks for Automated Diagnosis of Urinary Tract Infections by Anurag Dutta, A. Ramamoorthy, M. Gayathri Lakshmi, Pijush Kanti Kumar

“…Inheriting the novel KAN architecture, this research proposes a set of three deep learning models, namely, K²AN, KAN-C-Norm, and KAN-C-MLP. …”
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Calibration of SUMO Microscopic Simulation for Heterogeneous Traffic Condition: The Case of the City of Khulna, Bangladesh by Md. Mynul Hossain Chowdhury, Tanmoy Chakraborty

“…The purpose of this research is to compare simulation data with field data to calibrate the SUMO simulation model tool. …”
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MICROBOCENOSIS OF THE RHIZOSPHERE OF SOFT WHEAT WHEN USING BIOLOGICAL PRODUCTS by Natalya N. Shuliko, Elena V. Tukmacheva, Irina A. Korchagina, Alina A. Kiseleva, Olga F. Khamova, Artem Yu. Timokhin, Yuri Yu. Parshutkin, Ekaterina V. Kubasova

“…In this research we found out that the root microbiome of soft wheat reacted ambiguously to inoculation of biological  products and depended both on the genotypic characteristics of the varieties and on the preparations used. …”
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StarNet: Indian star gooseberries dataset for quality and maturity assessment(Mendeley Data). by Pushpa B․ R․, Manohar N․, N. Shobha Rani

“…The post-harvest process of fruit typically performs the quality assessment by segregating fruits based on visual characteristics, which is tedious and prone to human error. Hence, there is a need to develop an automated computer vision model to assess the fruit quality more accurately. …”
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Small earthquake location via machine learning with insufficient data by Ji Zhang, Aitaro Kato, Huiyu Zhu, Jie Zhang

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AI-Integrated AR as an Intelligent Companion for Industrial Workers: A Systematic Review by Steven Yoo, Sakib Reza, Hamid Tarashiyoun, Akhil Ajikumar, Mohsen Moghaddam

“…The results suggest that AR can effectively tackle key industry challenges associated with training and upskilling, process improvement, and error prevention. However, limitations remain in integrating multimodal data-driven capabilities into AR to effectively tailor AR guides to how individual workers learn and perform complex industrial tasks. …”
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P-32 powdered activated carbon detoxifies potentially toxic elements in the Kumasi Abattoir Ghana effluent by Isaac K. Tetteh, Solomon Nandomah

“…The adsorbent was manufactured and supplied by the Climate/Environmental Research and Technology (CLERET) Laboratory, one of the Research and Development (R&D) departments of Explore Scientific Innovations (ESI) Ltd., Ghana, using palm nutshell wastes as precursor. …”
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A hybrid Hadoop-based sentiment analysis classifier for tweets associated with COVID-19 utilizing two machine learning algorithms: CNN, and fuzzy C4.5 by Fatima Es-sabery, Ibrahim Es-sabery, Junaid Qadir, Beatriz Sainz-de-Abajo, Begonya Garcia-Zapirain

“…Many researchers prefer using machine and deep learning techniques for this analysis. …”
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Economic Evaluation of Historical Tourist Attraction and Analysis of Its Affecting Factors using Multilevel Ordered Logistics Method (Case Study: Golan Historical Neighborhood of H... by Saeed Dehghan Khavari, Golnoush Jabbari, Seyed Hossein Mirjalili

“…Due to the tendency to pay at different levels, the use of this method can measure the effective factors with higher accuracy. Also, the error in the stated information, if any, has less effect on the output of the model in this method than normal regression. …”
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Mathematical approach for rapid determination of pull-in displacement in MEMS devices by Yongcun Shao, Yutong Cui

“…Compared to traditional methods, this approach yields exact values rather than approximations, showcasing superior precision and efficiency.DiscussionThe proposed method offers significant advantages, including enhanced accuracy, reduced computational time, and minimized error accumulation by solving algebraic equations instead of iterating differential equations. …”
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