Soil loss estimation in Ethiopia: a comprehensive review of the RUSLE model integrated with geospatial technologies by Baye Terefe, Tadele Melese, Aderaw Tsegaye, Amene Afework, Titnaw Yibeltal, Abebe Anagaw, Fekadu Temesgen, Tatek Belay, Gizachew Assefa, Birhanu Bekele Mencho

“…Specifically, it evaluates the specific parameters used, the type of input data, the validation approaches, and the role of GIS and remote sensing in the computation process of the RUSLE Model. …”
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Corn Plant In-Row Distance Analysis Based on Unmanned Aerial Vehicle Imagery and Row-Unit Dynamics by Marko M. Kostić, Željana Grbović, Rana Waqar, Bojana Ivošević, Marko Panić, Antonio Scarfone, Aristotelis C. Tagarakis

“…Seeding quality is affected by numerous parameters, including the working speed and vibrations of the seeder. …”
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Friction and wear of multiple steel wires in a wire rope by Yuxing Peng, Kun Huang, Chenbo Ma, Zhencai Zhu, Xiangdong Chang, Hao Lu, Qing Zhang, Chunming Xu

“…A series of tests were carried out on multiple steel wires in helical contact and tension-torsion coupling under different fretting parameters, twisting parameters, and lubrication conditions by self-made friction and wear testing machine. …”
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High-throughput discovery of genetic determinants of circadian misalignment. by Tao Zhang, Pancheng Xie, Yingying Dong, Zhiwei Liu, Fei Zhou, Dejing Pan, Zhengyun Huang, Qiaocheng Zhai, Yue Gu, Qingyu Wu, Nobuhiko Tanaka, Yuichi Obata, Allan Bradley, Christopher J Lelliott, Sanger Institute Mouse Genetics Project, Lauryl M J Nutter, Colin McKerlie, Ann M Flenniken, Marie-France Champy, Tania Sorg, Yann Herault, Martin Hrabe De Angelis, Valerie Gailus Durner, Ann-Marie Mallon, Steve D M Brown, Terry Meehan, Helen E Parkinson, Damian Smedley, K C Kent Lloyd, Jun Yan, Xiang Gao, Je Kyung Seong, Chi-Kuang Leo Wang, Radislav Sedlacek, Yi Liu, Jan Rozman, Ling Yang, Ying Xu

“…We developed a machine learning algorithm to quantify these two parameters in our misalignment screen (SyncScreener) with existing datasets and used it to screen 750 mutant mouse lines from five IMPC phenotyping centres. …”
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Variable Admittance Control of High Compatibility Exoskeleton Based on Human–Robotic Interaction Force by Jian Cao, Jianhua Zhang, Chang Wang, Kexiang Li, Jianjun Zhang, Guihua Wang, Hongliang Ren

“…The controller can adaptively adjust the admittance parameters according to the HRI to respond to dynamic changes in the mechanical and physical parameters of the human–robot system, thereby improving control compliance and the wearing comfort of the exoskeleton system. …”
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Influence of surface quality on corrosion resistance of stainless steel and aluminum alloy butt welds after innovative finishing by Olga Łastowska, Wojciech Jurczak, Robert Starosta

“…Abstract The maintenance properties of machine parts rely on a system of surface quality parameters, including geometrical, mechanical properties, and surface structure. …”
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Device-Driven Service Allocation in Mobile Edge Computing with Location Prediction by Qian Zeng, Xiaobo Li, Yixuan Chen, Minghao Yang, Xingbang Liu, Yuetian Liu, Shiwei Xiu

“…By leveraging attention parameters, ELPM acquires spatio-temporal adaptive weights, enabling accurate location predictions. …”
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Kolmogorov–Arnold Networks for Interpretable Crop Yield Prediction Across the U.S. Corn Belt by Mustafa Serkan Isik, Ozan Ozturk, Mehmet Furkan Celik

“…We create a multi-source dataset that includes biophysical parameters along the crop phenology, as well as meteorological, topographic, and soil parameters to perform end-of-season and in-season predictions of county-level corn yields between 2016–2023. …”
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Rheological Properties of Diesel-Based Fuels with Tyre Pyrolysis Oil as Admixture by Leszek Chybowski, Marcin Szczepanek, Tomasz Pusty, Piotr Brożek, Robert Pełech

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Investigation of externally toothed parts forming using ballizing technique by Ayman Ali Abd-Eltwab, Essam Khalaf Saied, Ahmed Mohamed Atia, Nouby M. Ghazaly, A.A. Gomaa, Karim Mohamed Atia

“…Externally toothed parts such as gears, splined and coupling sleeves can be manufactured by machining, casting, and forming. The machining process is costly because of using a special tool, consuming power, and wasting material during the machining process. …”
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OSCILLATORY ROLL OF THE ROAD ROLLER WITH A DOUBLE SIDE PLATE by S. V. Saveliev, V. V. Dubkov, M. K. Shushubaeva, V. B. Permyakov

“…The most effective is the vibrating machines’ compaction, which have a wide range of control parameters. …”
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Performance Analysis of a Synchronous Reluctance Generator with a Slitted-Rotor Core for Off-Grid Wind Power Generation by Samuel Adjei-Frimpong, Mbika Muteba

“…The rotor of the SynRG has a slitted-rotor core to improve selected vital performance parameters. The SynRG with a slitted-rotor core was modeled using a two-dimensional (2D) Finite Element Method (FEM) to study the electromagnetic performance of key parameters of interest. …”
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Evaluating the performance of artificial intelligence models for temperature downscaling (Study area: Ardabil province) by Mohammad Hossein Jahangir, Seyed Mohammad Ehsan Azimi

“…These tools downscale forecasting scenarios by creating relationship between parameters of synoptic stations and Large-scale data of general circulation models.Material and methods: In this study large-scale predictor parameters from 1961 to 2003 from the database of National Centers for Environmental Prediction (NCEP), large-scale data for the A1B and A2 forecast scenarios of the HadCM3 model from 2001 to 2100 from the Canadian Centre for Climate Modelling and Analysis (CCCMA), and the meteorological synoptic data of Ardabil stations from the Meteorological Organization were gathered. …”
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Structural Design and Analysis of Bionic Shovel Based on the Geometry of Mole Cricket Forefoot by Shengbo Lin, Hongyan Sun, Guangen Yan, Kexin Que, Sijia Xu, Zhong Tang, Guoqiang Wang, Jiali Li

“…The results show that the optimal combination of operating parameters for the bionic loosening shovel is the rotational speed <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>ω</mi></mrow></semantics></math></inline-formula> = 5 r/s and the traveling speed of the whole machine v = 0.5 m/s. …”
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Enhanced ensemble learning-based uncertainty and sensitivity analysis of ventilation rate in a novel radiative cooling building by Majid Mohsenpour, Mohsen Salimi, Atieh Kermani, Majid Amidpour

“…This study proposes a novel machine learning-based ensemble stacking model to predict ventilation rates in passive cooling buildings, addressing the challenges of black-box modeling. …”
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Lithofacies and sandstone reservoir characterization for geothermal assessment through artificial intelligence by Zohaib Naseer, Muhsan Ehsan, Muhammad Ali, Muhammad Raiees Amjad, Muhammad Ali Umair Latif, Kamal Abdelrahman

“…Facies analysis was performed based on well data through machine learning, demonstrating that the major facies present are sandstone and shale in the target Formation. …”
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CONTEMPORARY METHODS FOR MYOCARDIAL FUNCTION EVALUATION IN PATIENTS WITH HYPERTROPHIC CARDIOMYOPATHY BEFORE AND AFTER SURGICAL TREATMENT by E. Yu. Van, T. Yu. Kulagina, E. V. Berezina, Yu. V. Frolova, S. A. Abugov, S. L. Dzemeshkevitch

“…To everyone included the echocardiography was performed using the Vivid E9 machine (GE, USA) with multifrequent sensor 3,5-5,0 MHz. …”
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Design and Optimization of a Lightweight and Simple Self-Propelled Crawler Potato Combine Harvester by Caichao Liu, Ning Wu, Guangseng Cheng, Feng Wu, Fengwei Gu, Lili Shi, Bing Wang

“…Field tests with the same parameters showed that the potato damage rate, skin breakage rate, loss rate, and impurity rate of the harvester were 1.357%, 1.853%, 2.86%, and 2.748%, respectively, meeting relevant industry technical standards. …”
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Measurement of bit-rock interface temperature and wear rate of the tungsten carbide drill bit during rotary drilling by Vijay Kumar Shankar, Bijay Mihir Kunar, Chivukula Suryanarayana Murthy, M. R. Ramesh

“…Furthermore, effects of the bit-rock interface temperature and operational parameters on wear rate of the drill bits were examined. …”
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Experimental and Statistical Investigations for Tensile Properties of Hemp Fibers by Peyman Sadeghi, Quang Cao, Ragab Abouzeid, Mohammad Shayan, Meensung Koo, Qinglin Wu

“…However, the scale parameters for breaking stress and Young’s modulus were determined to be 620.57 MPa and 29.88 GPa, respectively. …”
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