Rethinking Macramé Instruction: A Mathematical Approach to Sustainable Cord Usage in Textile Education by Fatimatu Hajia Ibrahim, Boakye Antwi, Karim Azumah, Issah Mohammed Seini

“…Methodology/Design: Research suggests that traditional Macramé teaching methods have remained largely unchanged, often relying on estimation and trial-and-error techniques for determining cord lengths. This lack of standardisation contributes to inefficiencies in material use and instructional delivery. …”
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Deep learning for sunflower (Helianthus annuus L.) mapping and stand counting: Trade-offs between closed vs. open-access methods by Maria Villamil-Mahecha, Harsh Pathak, Nitin Rai, Paul Overby, Xin Sun

“…The root mean squared error (RMSE) for stand count was 26.7 sunflowers per tile further confirmed the model’s accuracy. …”
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Modeling and simulation of optical wireless communication channels in IoUT considering water types turbulence and transmitter selection by M. Mokhtar Zayed, Mona Shokair

“…Performance metrics, including received optical power, signal-to-noise ratio (SNR), and bit error rate (BER), are evaluated to provide in-depth insights into system behavior. …”
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Object-Based Downscaling Method for Land Surface Temperature with High-Spatial-Resolution Multispectral Data by Siyao Wu, Shengmao Zhang, Fei Wang

“…A comparison with PBA methods for pixel downscaling also indicated that the OBD method achieves the lowest root mean square error (RMSE) across different landcovers, including urban areas, water bodies, and natural terrain. …”
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Evaluation of LSTM, GRU, and ANFIS Models for Ankle Angle and Ankle Moment Prediction Using Biomechanical Data by T. S. Sangeetha, S. N. Muralikrishna, Advay Mandar Naik, Arun P. Parameswaran

“…The performance of the models were assessed using Root Mean Square Error (RMSE) and Coefficient of Determination (R2) metrics, under both subject-specific and Leave-One-Subject-Out (LOSO) cross-subject validation frameworks. …”
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Predicting indoor temperature of solar green house by machine learning algorithms: A comparative analysis and a practical approach by Wenhe Liu, Tao Han, Cong Wang, Feng Zhang, Zhanyang Xu

“…This research not only compared the performance of different machine learning algorithms in solar greenhouse temperature prediction but also explored the applicability of each algorithm across various prediction horizons. …”
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Research on dynamic prediction and optimization of high altitude photovoltaic power generation efficiency using GVSAO-CNN Model under 8-climate modes by Xiaoming Xiong, Heng Hu, Qiangfu Jia, Rongjian Zhang, Chongan Huang, Qingyuan Lu

“…Specifically, it has been demonstrated to achieve a 22.6% reduction in root-mean-square error (RMSE) and a 16.7% decrease in training time when compared to traditional models. …”
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A Two-Step Framework for Generating 0.01°, Hourly, and Gapless Land Surface Temperature by Jun Ma, Jingping Guo, Jingan Wu, Huanfeng Shen

“…The proposed method offers a practical and robust approach to produce hourly gapless LST at a moderate spatial scale, which is essential in a variety of regional-scale thermal applications.…”
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A Learning-Based Dual-Scale Enhanced Confidence for DSM Fusion in 3-D Reconstruction of Multiview Satellite Images by Shuting Yang, Hao Chen, Fachuan He, Wen Chen, Ting Chen, Jianjun He

“…Deep-learning-based multiview stereo (MVS) methods are primarily applicable to tristereo data captured simultaneously and rely heavily on training samples. …”
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Visual Servoing Drone Utilizing Ground Robot Detection Model for UAV-UGV Alignment for Retrieval Operations by Jamaica Mae Pepito, John Mel Bolaybolay, Earl Ryan Aleluya, Francis Jann Alagon, Steve Clar, Immanuel Paradela, Sherwin Guirnaldo, Jeanette Pao, Carl John Salaan, Argel Bandala

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Proposing a template for selecting the coordinates of laboratory standards for executive management of the country. by mohammad hasan Izadparast, ali asghar pourezzat, Alireza Amirkabiri

“…"Policy Laboratories: Concepts, Tools, and Applications" is the title of a book about the policy laboratory written by Ghazi Nuri et al, (2021). …”
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Neuro-Musculoskeletal Modeling for Online Estimation of Continuous Wrist Movements from Motor Unit Activities by Yunfei Liu, Xu Zhang, Haowen Zhao, Xiang Chen, Bo Yao

“…The research findings hold the potential to advance the development of NMS models towards the control of multiple degrees of freedom, with promising applications in the fields of motor control, biomechanics, and neuro-rehabilitation engineering.…”
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Super-resolution reconstruction of the 1 arc-second Australian coastal DEM dataset by Bo Zhang, Zekai Shi, Danfeng Hong, Qi Wang, Jian Yang, Haoyuan Ren, Meng Zhang

“…Seafloor mapping to create a coastal DEM dataset of the oceans is significant for various applications. Land-based DEM monitoring and acquisition are more practical as compared to ocean DEM. …”
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ADEPNET: A Dynamic-Precision Efficient Posit Multiplier for Neural Networks by Aditya Anirudh Jonnalagadda, Uppugunduru Anil Kumar, Rishi Thotli, Satvik Sardesai, Sreehari Veeramachaneni, Syed Ershad Ahmed

“…This becomes especially useful for performing error-tolerant tasks like deep learning inference computation where low latency and area are a priority. …”
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UAV-Based Multispectral Winter Wheat Growth Monitoring with Adaptive Weight Allocation by Lulu Zhang, Xiaowen Wang, Huanhuan Zhang, Bo Zhang, Jin Zhang, Xinkang Hu, Xintong Du, Jianrong Cai, Weidong Jia, Chundu Wu

“…The proposed method significantly improved the accuracy and applicability of winter wheat growth monitoring, overcoming the limitations of single parameters in growth prediction. …”
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Watershed scale soil moisture estimation model using machine learning and remote sensing in a data-scarce context by Marcelo Bueno, Carlos Baca García, Nilton Montoya, Pedro Rau, Hildo Loayza

“…Statistical validation indicated suitable generalization error for scientific and practical use (RMSE < 0.05 cm3 cm-3). …”
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Fabrication of MPI-traceable alginate magnetic millirobots with multimodal selective-locomotion and heating capabilities by Armando Ramos-Sebastian, Ja-Sung Lee, Won-Il Song, Dong-Min Ji, So-Jung Gwak, Sung Hoon Kim

“…Alginate-based magnetic micro/millirobots have demonstrated significant potential for biomedical applications due to their flexible structures and capacity to carry various types of cargo, such as cells, enabling targeted therapy to specific diseased regions within the body. …”
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Development and comparison of empirical models for all-sky downward longwave radiation estimation at the ocean surface using long-term observations by J. Peng, J. Peng, J. Peng, J. Peng, B. Jiang, B. Jiang, H. Liang, H. Liang, S. Li, S. Li, J. Han, J. Han, T. C. Ingalls, T. C. Ingalls, J. Cheng, J. Cheng, Y. Yao, Y. Yao, K. Jia, K. Jia, X. Zhang, X. Zhang

“…The validation results showed that the accuracy of the newly constructed model is superior to that of other models, yielding overall root mean square error (RMSE) values of 13.44 and 8.34 W m<span class="inline-formula">⁻²</span> under clear-sky conditions and 15.64 and 10.27 W m<span class="inline-formula">⁻²</span> under all-sky conditions at hourly and daily scales, respectively. …”
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Optimization of Magnetic Finishing Process and Surface Quality Research for Inner Wall of MP35N Cobalt–Chromium Alloy Vascular Stent Tubing Based on Plasma-Fused Al₂O<su... by Yusheng Zhang, Yugang Zhao, Qilong Fan, Shimin Yang, Shuo Meng, Yu Tang, Guiguan Zhang, Haiyun Zhang

“…MAF effectively eliminates the surface defects and deteriorated layers on the inner wall of MP35N tubes, significantly improving the surface quality, which is of great significance for the subsequent preparation of high-quality vascular stents and their clinical applications.…”
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Effect of Hematopoietic Stem Cell Transplantation Regimen on Tacrolimus Pharmacokinetics by Haruno Oku, BS, Saki Yoshida, BS, Takumi Hotta, BS, Hirohito Muroi, BS, Keizo Fukushima, PhD, Kei Irie, PhD, Tatsuya Hirano, BS, Yoshimitsu Shimomura, MD, Takayuki Ishikawa, MD, PhD, Hiroaki Ikesue, PhD, Nobuyuki Muroi, PhD, Tohru Hashida, PhD, Nobuyuki Sugioka, PhD

“…Whole-blood tacrolimus concentrations were accurately captured (n = 1,658 measurements) using a one-compartment and additive error model. The conditioning regimen and donor source did not have an impact on the pharmacokinetics of tacrolimus. …”
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