Adaptive spatial-channel feature fusion and self-calibrated convolution for early maize seedlings counting in UAV images by Zhenyuan Sun, Zhenyuan Sun, Zhenyuan Sun, Zhi Yang, Zhi Yang, Yimin Ding, Yimin Ding, Boyan Sun, Boyan Sun, Saiju Li, Saiju Li, Zhen Guo, Zhen Guo, Lei Zhu, Lei Zhu

“…Specifically, RC-Dino achieved improvements of 16.29% in Average Precision (AP) and 8.19% in Recall compared to the DINO model. Our method also exhibited superior coefficient of determination (R²) values across different datasets for seedling counting. …”
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Comparison of inter- and intraobserver agreement between [18F]AlF-NOTA-octreotide and [68Ga]Ga-DOTA-SSA PET/CT by Hannes Leupe, Niloefar Ahmadi Bidakhvidi, Karolien Goffin, Bliede Van den Broeck, Sander Jentjens, Annouschka Laenen, Elin Pauwels, Willem Lybaert, Eric Van Cutsem, Guy Bormans, Timon Vandamme, Frederik Cleeren, Jeroen Dekervel, Karen Geboes, Sigrid Stroobants, Chris Verslype, Christophe M. Deroose

“…Both tracers also showed excellent agreement in determining Krenning scores (0.925 for [18F]AlF-OC and 0.927 for [68Ga]Ga-DOTA-SSAs). …”
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Chemokine levels predict progressive liver disease in Down syndrome patients with transient abnormal myelopoiesis by Tadamune Kinjo, Hirosuke Inoue, Takeshi Kusuda, Junko Fujiyoshi, Masayuki Ochiai, Yasushi Takahata, Satoshi Honjo, Yuhki Koga, Toshiro Hara, Shouichi Ohga

“…It is impossible to determine the patients who are at high risk of progressive liver disease and leukemic transformation. …”
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Kinematic calculation and plotting of lifting height and speed of the tangential cam pusher using MATHCAD program by Yu. P. Makushev, T. A. Polyakova, L. Yu. Volkova, V. V. Ryndin

“…The article shows the design features of tangential cams with a rounded top, provides a method for determining the lifting height and speed of the pusher when the roller is rolling in a straight line and in contact with the actual profile of the cam. …”
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Validity and reliability of the Turkish version of the infection prevention appraisal scale by Nuray Turan, Cansu Polat Dünya, Meryem Türkoğlu, Ljudmila Linnik

“…Linguistic validity was ensured through the back-translation method, and expert evaluations were used to determine content validity. …”
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Numerical Investigation of the Influence of Temperature on Fluidization Behavior: Importance of Particle Collision Parameters and Inter-Particle Forces by Milan Mihajlović, Juan G. Ramírez, Ildefonso Campos Velarde, Martin Van Sint Annaland, Ivo Roghair

“…The simulations in this study explore the friction coefficient, as well as changes in both tangential and normal restitution coefficients, which affect the fluidization behavior. …”
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Experimental and simulation study on the deformation behavior, mechanical properties and microstructure of Ti–6Al–4V alloy wires fabricated by hot drawing by Zhijie Gao, Yaozong Mao, Zhiqiang Zhang, Chunguang Bai, Li Zhou

“…In this study, a combined experimental and simulation method was proposed to determine the friction coefficient involved in wire drawing processes. …”
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A study on the prediction of mountain slope displacement using a hybrid deep learning model by Yuyang Ma, Xiangxiang Hu, Yuhang Liu, Yaya Shi, Zhiyuan Yu, Xinmin Wang, Liangbai Hu, Shuailing Liu, Dongdong Pang

“…On the long-term prediction task at station JC03, it achieves a 37.9% reduction in Root Mean Square Error (RMSE), a 32.4% decrease in Mean Absolute Error (MAE), and a 4.6% increase in the coefficient of determination (R2) compared to the baseline LSTM. …”
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Vortex-Induced Vibration Performance Prediction of Double-Deck Steel Truss Bridge Based on Improved Machine Learning Algorithm by Yang Yang, Huiwen Hou, Gang Yao, Bo Wu

“…The optimization algorithm was selected using root mean square error (RMSE) and the coefficient of determination (R²) as evaluation indices and further improved with a genetic algorithm and particle swarm optimization. …”
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Rancang Bangun Kompor Biomassa Otomatis Berbasis Sensor Suhu dan Mikrokontroler by Mareli Telaumbanua, Ahmad Ridho Kurniawan, Agus Haryanto, Raizummi Fil’aini, Febryan Kusuma Wisnu, Winda Rahmawati

“…The results showed that the stove temperature value with the coefficient of determination value from sensor calibration 1 was R2 = 0.9945, sensor calibration 2 obtained the value R2 = 0.9956, the R2 value in sensor calibration 3 was 0.9946, and sensor calibration 4 obtained the value R2 = 0.9927. …”
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The Results of the Study of the Relationship between Viscosity and Mechanical Strength of Bleached Hardwood Kraft Pulp by Tatiana A. Koroleva, Vasily V. Medvedev, Yuri V. Pomelov

“…Since it takes no more than 2 hours to determine the viscosity of a solution of high-molecular polymers, and 8–10 hours to obtain standard mechanical strength characteristics, viscosity analysis can be considered an express method that provides information on the mechanical strength of a semi-finished product. …”
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Identifying potential sites for artificial groundwater recharge using GIS and AHP techniques: A case study of Erbil basin, Iraq by Omeed Al-Kakey, Arsalan Othman, Broder Merkel

“…Lastly, the resulting map of the potential groundwater recharge zones is verified using static water level data, where the coefficient of determination (R2) achieved a satisfactory result (0.73). …”
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A Study on Hyperspectral Soil Moisture Content Prediction by Incorporating a Hybrid Neural Network into Stacking Ensemble Learning by Yuzhu Yang, Hongda Li, Miao Sun, Xingyu Liu, Liying Cao

“…The relative prediction deviation (RPD), root mean square error (RMSE), and coefficient of determination (R²) on the test set are 4.577, 0.227, and 0.952, respectively. …”
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Genetic Diversity of Marrubium Species from Zagros Region (Iran), Using Inter Simple Sequence Repeat Molecular Marker by N. Salehi, N. Kharazian, B. Shiran

“…Moreover, a data matrix was designed to estimate genetic parameters. To determine the genetic structure and taxonomic status, analysis of molecular variance, clustering analysis with UPGMA (Unweighted Pair Group Method Average) and the Jaccard similarity coefficient were estimated using NT-SYS-pc and Gene Alex software. …”
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How to map soil organic carbon stocks at field scale in South Africa? by Willie Herman Cloete, Gerhard du Preez, George Munnik Van Zijl

“…To address this gap, the study aimed to determine whether conventional mapping using ordinary kriging (OK) or digital soil mapping (DSM) with machine learning (ML) could be used for mapping SOCS at a field scale in South Africa. …”
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Attention-Based Convolutional Aggregation: An Efficient Model for Off-Gas Profile Forecasting and Dynamic Pre-Control of BOF Steelmaking by Tian-yi Xie, Jun-guo Zhang, Lan-jie Li, Fei Zhang, Shuai Liu, Han-jie Guo

“…It incorporates artificial intelligence (AI) techniques, such as aggregation structures, causal dilation convolution, attention mechanisms, residual connections, etc. Its forecasting coefficient of determination (R 2 ) values for the curves of CO, CO2, and CO + CO2 reached 0.9386, 0.8566, and 0.9428, respectively, while the mean squared errors (MSEs) values were 47.3884, 11.9314, and 54.3583, respectively. …”
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Evaluating Inter-Rater Reliability: Transitioning to a Single Rater for Marking Modified Essay Questions in Undergraduate Medical Education by Shahid Hassan, Malanashita Ganeson, Ismail Abdul Sattar Burud

“…Current study explores the possibility of assigning a single assessor to mark the students' performances in MEQ based on statistically drawn evidence in the clinical phase of the MBBS program at a private medical school in Malaysia. A robust evaluation method was employed to determine whether to continue with two raters or shift to a single-rater scheme for MEQs, using the Discrepancy-Agreement Grading (DAG) System for evaluation. …”
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The Relationship Between Nursing Students' Fear of Experiencing Violence and Their Level of Professional Motivation by Serhan Şahinli, Merve Bat Tonkuş

“…Aim: The aim of this study is to determine whether the fear of violence and professional motivation levels of nursing students differ according to their demographic characteristics and the relationship between the fear of violence and professional motivation levels. …”
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Investigations on Microstructure, Mechanical, and Wear Properties, with Strengthening Mechanisms of Al6061-CuO Composites by Subrahmanya Ranga Viswanath Mantha, Gonal Basavaraja Veeresh Kumar, Ramakrishna Pramod, Chilakalapalli Surya Prakasha Rao

“…Metal matrix composites (MMCs) reinforced with Copper Oxide (CuO) and Aluminum (Al) 6061 (Al6061) alloys are being studied to determine their mechanical, physical, and dry sliding wear properties. …”
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An effective parameter estimation on thermoelectric devices for power generation based on multiverse optimization algorithm by Luis Fernando Grisales-Noreña, Vanessa Botero-Gómez, Rubén Iván Bolaños, Faustino Moreno-Gamboa, Daniel Sanin-Villa

“…The modeling of these modules is complex due to nonlinear differential equations and the challenge of determining the actual values of thermoelectric properties like electrical resistivity, thermal conductivity, and one of the most relevant parameters, the Seebeck coefficient. …”
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