Seguimiento de trayectorias de un robot móvil (3,0) mediante control acotado by J.F. Guerrero-Castellanos, M.G. Villarreal-Cervantes, J.P. SaÌnchez-Santana, S. Ramírez-Martínez

“…Furthermore, owing to simplicity, the proposed control law is suitable for application where on-board computational resources are limited. …”
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Validation of Deep Learning–Based Automatic Retinal Layer Segmentation Algorithms for Age-Related Macular Degeneration with 2 Spectral-Domain OCT Devices by Souvick Mukherjee, PhD, Tharindu De Silva, PhD, Cameron Duic, BS, Gopal Jayakar, BS, Tiarnan D.L. Keenan, BM BCh, PhD, Alisa T. Thavikulwat, MD, Emily Chew, MD, Catherine Cukras, MD, PhD

“…However, this resource-intensive process has constrained the widespread application of such algorithms across diverse OCT devices. …”
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Impact of microbiological molecular methodologies on adaptive sampling using nanopore sequencing in metagenomic studies by Josephine Herbert, Stanley Thompson, Angela H. Beckett, Samuel C. Robson

“…We next compared the quality and accuracy of metagenomic analyses for two nanopore-based ligation chemistry kits with differing levels of base-calling error; the older and more error-prone (~ 97% accuracy) LSK109 chemistry, and newer more accurate (~ 99% accuracy) LSK112 Q20 + chemistry. …”
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Reconciling Global Terrestrial Evapotranspiration Estimates From Multi‐Product Intercomparison and Evaluation by Yaoting Cai, Qingchen Xu, Fan Bai, Xueqi Cao, Zhongwang Wei, Xingjie Lu, Nan Wei, Hua Yuan, Shupeng Zhang, Shaofeng Liu, Yonggen Zhang, Xueyan Li, Yongjiu Dai

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Multi-Modal Sensing for Propulsion Estimation in People Post-Stroke Across Speeds by Krithika Swaminathan, Dabin K. Choe, Daekyum Kim, Flore Barde, Teresa C. Baker, Nicholas C. Wendel, Andrew Chin, Gregoire Bergamo, Christopher J. Siviy, Christina Lee, Louis N. Awad, Terry D. Ellis, Conor J. Walsh

“…We show that in the lab, IMU + Insole models improve performance relative to IMU only and Insole only models, with an average root-mean-squared-error (RMSE) of 0.80 %bodyweight (%BW) across the stance phase. …”
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Developing a Model of Wisdom Based on Successful Intelligence and Psychological Well-Being in Students: The Mediating Role of Creativity by Rasool Kordnoghabi, Saeed Veisi

“…Finally, a root mean square error of approximation (RMSEA) of 0.058 was obtained, whereby RMSEA values ≤0.08 indicate an acceptable fit.  …”
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A large-scale estimation method for beach slopes using ICESat-2 altimeter: A case study of New Zealand by Nan Xu, Hao Xu, Wenyu Li, Hui Lu, Yongze Song, Jiaqi Yao, Yue Ma, He Ren, Tingting He, Fan Mo, Peng Gong

“…Our results indicate that the inverted beach slopes from our method exhibit a high accuracy (root mean square error (RMSE) = 0.06, determination coefficient (R2) = 0.76). …”
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Self-Correction Sensor for Measuring Medium DC Voltage Based on Resistance Voltage Divider by Xiaojun Tang, Pan Pan, Feng Zhang, Ling Yan, Yangyu Lyu, Yi Wu, Mingzhe Rong, Berihun Gebreyohannes Teklu

“…As a result, the measurement error caused by the change in <tex>$R_{\mathrm{H}}$</tex> can be avoided. …”
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Wide-Field-of-View Modulating Retro-Reflector System Based on a Telecentric Lens for High-Speed Free-Space Optical Communication by Jiahan Tian, Tingbiao Guo, Nan He, Ji Du, Qiangsheng Huang, Xiaojian Hong, Chao Fei, Yuan Wang, Tianyi Zhang, Junping Zhang, Sailing He

“…Modulating retro-reflector (MRR) free-space optical (FSO) communication technology presents a bright future for realizing the small size, weight, and power (SWaP) design of one end of the optical link, facilitating the further application of the FSO communication to the small platforms. …”
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0.01% atropine combined with carteolol hydrochloride can inhibit the scleral remodeling in guinea pigs with form-deprivation myopia by Qin Xiang, Jing Yang, Qing Liu, Jing Fang, Xin Li, Xinyu Fu, Xu Gao, Zhou Fu

“…Abstract Myopia is the most widespread refractive error caused by an increase in the axial length (AL) of the eyeball, and is also a major risk factor for other blinding eye diseases, seriously endangering human health and quality of life. …”
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DualDyConvNet: Dual-Stream Dynamic Convolution Network via Parameter-Efficient Fine-Tuning for Predicting Motor Prognosis in Subacute Stroke by Yunjeong Jang, Joohye Jeong, Yun Kwan Kim, Da-Hye Kim, Wanjoo Park, Laehyun Kim, Yun-Hee Kim, Minji Lee

“…As a result, we achieved average root mean squared error (RMSE) of <inline-formula> <tex-math notation="LaTeX">$0.070 \; \pm \; 0.045$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$0.223 \; \pm \; 0.148$ </tex-math></inline-formula> on the two datasets, respectively. …”
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Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology by Hassan Bagheri, Reza Mohebian, Ali Moradzadeh, Behnia Azizzadeh Mehmandost Olya

“…The correlation coefficient (CC) between the actual and estimated data for the three outputs CBW, BVI and FFV are 95%, 94%, and 97%, respectively, as well as root mean square error (RMSE) was obtained 0.0081, 0.098, and 0.0089, respectively. …”
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Research on the combination of algorithms and mixed reality for the localization of perforator vessels in anterolateral thigh and free fibula flaps by Yixiu Liu, Yixiu Liu, Jian Wu, Lian Zhou, Xi Tang, Shuangjiang Wu, Shuangjiang Wu, Ping Ji

“…This system shows significant potential for application in lower extremity flap harvesting surgeries.…”
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Development of a new data management system for the study of the gut microbiome of children who are small for their gestational age by Felix Manske, Magdalena Durda-Masny, Norbert Grundmann, Jan Mazela, Monika Englert-Golon, Marta Szymankiewicz-Bręborowicz, Joanna Ciomborowska-Basheer, Izabela Makałowska, Anita Szwed, Wojciech Makałowski

“…We report our endeavors in order to motivate the application of data management systems at the scale of single studies in microbiome research.…”
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Development and model test of dynamic loading system in mine goaf site for high-speed railway subgrade by Lianwei REN, Liang LI, Ziqiang WANG, Youfeng ZOU, Zhilin DUN, Shuren WANG

“…Additionally, the system allows for the realization of the M-wave output of high-speed load within a 10% error, thereby verifying the feasibility of dynamic loading tests for the high-speed railway subgrade models in mining goaf areas. …”
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Accurate prediction of damage depth of multi-story structural footings with Matlab implementation by Ang LI, Weidong WANG, Qian MOU, Feng WANG, Zhenghe MA, Lei ZHAO, Gang HUANG, Yonggen ZHOU, Shengqi TIAN

“…Firstly, we construct a mechanical model of plastic slip line field of multilayer structure base plate, derive the analytical solution of base plate damage depth under multiple working conditions, and optimize five working conditions for calculating the damage depth of multilayer structure base plate; secondly, we analyze the shortage and error causes of manual calculation method of damage depth of multilayer structure base plate; we propose a logical flow for calculating the damage depth of multilayer structure base plate, and develop a system for calculating the damage depth of multilayer structure base plate with the help of Matlab language. …”
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International Natural Uranium Price Prediction Based on TF-CNN-BiLSTM Model by YANG Jingzhe, XUE Xiaogang

“…Overall, this study represents a significant advancement in the application of deep learning techniques to the uranium market, offering practical benefits for risk management and strategic planning in the nuclear energy industry.…”

Explainable artificial intelligence visions on incident duration using eXtreme Gradient Boosting and SHapley Additive exPlanations by Khaled Hamad, Emran Alotaibi, Waleed Zeiada, Ghazi Al-Khateeb, Saleh Abu Dabous, Maher Omar, Bharadwaj R.K. Mantha, Mohamed G. Arab, Tarek Merabtene

“…This study introduces an application of Explainable Artificial Intelligence (XAI) using eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanations (SHAP) to analyze the complexities of traffic incident duration prediction. …”
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Satellite estimation of pCO2 and quantification of CO2 fluxes in lakes in the context of climate change by Ruixue Zhao, Zhidan Wen, Yingxin Shang, Ge Liu, Hui Tao, Chong Fang, Sijia Li, Xiangfei Yu, Qian Yang, Jiping Liu, Kaishan Song

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Artificial neural networks analysis of entropy generation in magnetic-micropolar nanofluid flow equipped with porous media and Darcy-Forchheimer law by Zahoor Iqbal, Md Fayz- Al- Asad, Huiying Xu, Xinzhong Zhu, Muhammad Sajjad Hossain, Ridha Selmi, M.M. Alqarni, Sharifah E. Alhazmi, Fahima Hajjej, M.M.H. Imran

“…We investigate the thermal diffusion features in micropolar nanofluid across a porous medium with steady and incompressible, laminar flow with variable properties of magnetic field, thermal and mass expansion coefficient and we thoroughly examine the generation of entropy while considering its extensive applicability in industrial and engineering processes. …”
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