Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery by Andre Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, Kleber Trabaquini

“…Among the tested classification models, the SVM with Sentinel-1 and Sentinel-2 data yielded the highest accuracy (IoU: 0.807; Dice: 0.885), while CART and GTBoost had the lowest performance. Omission errors were reduced below 10% in most models when using both sensors, but commission errors remained above 15%, especially for patches in which rice fields represent less than 10% of area. …”
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Morphological Estimation of Primary Branch Inclination Angles in Jujube Trees Based on Improved PointNet++ by Linyuan Shang, Fenfen Yan, Tianxin Teng, Junzhang Pan, Lei Zhou, Chao Xia, Chenlin Li, Mingdeng Shi, Chunjing Si, Rong Niu

“…Subsequently, the Chebyshev graph convolution module (CGCM) is integrated into PointNet++ to enhance its feature extraction capability, and the DBSCAN algorithm is optimized to perform instance segmentation of primary branch point clouds. …”
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Pediatric medication management barriers faced by providers serving underserved populations and proposed solutions by Tiranun Rungvivatjarus, Tiranun Rungvivatjarus, Maria Z. Huang, Maria Z. Huang, Britanny Winckler, Britanny Winckler, Erin S. Fisher, Erin S. Fisher, Kyung E. Rhee, Kyung E. Rhee

“…BackgroundWhile families with limited English proficiency and/or low health literacy face increased risks of medication errors, poor medication management, and non-adherence, little is known about the barriers pediatric medical providers experience when educating families on medication use and compliance. …”
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Constructing a nomogram for short-term prognosis in postoperative patients with aneurysmal subarachnoid hemorrhage: a two-center retrospective study by Yingcong Wei, Xiaoyong Lin, Mingjian Lin, Wencai Li, Honghai Luo, Gang Zhu

“…Logistic regression analysis was used to determine the single predictor of aneurysmal subarachnoid hemorrhage. …”
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Development of an automated quality control and assay performance management system for biochemical genetics laboratory by P. Tanpaiboon, D. Salazar, M. Pan, L. Xu, R. Sharma

“…Comprehensive off-the-shelf QC management systems optimized for such highly complex assays and platforms are relatively scarce. …”
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Hybrid Tree-Based Machine Learning Models for State-of-Charge and Core Temperature Estimation in EV Batteries by Aya Haraz, Khalid Abualsaud, Ahmed M. Massoud

“…Accurate estimation of State-of-Charge (SoC) and core temperature is fundamental to optimizing the performance, safety, and longevity of Lithium-Ion Batteries (LiBs), particularly in Electric Vehicles (EVs). …”
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Detection Storage Time of Mild Bruise’s Loquats Using Hyperspectral Imaging by Zhaoyang Han, Bin Li, Qiu Wang, Akun Yang, Yande Liu

“…The results indicate that the Mixed-RBF-LS-SVM model has the lowest errors, and the accuracies of storage time of mild bruise’s loquats at 6, 12, 24, and 36 h are 100%, 92%, 92%, and 100%, respectively. …”
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Conceptualizing Clinicians’ Trust in Artificial Intelligence as a Function of Their Expertise, Workload, Patient Outcome, Diagnosis Difficulty, and AI Accuracy: A Systems Th... by Hamid Shamszare, Zaira Chaudhry, Manijeh Berenji, Avishek Choudhury

“…This may be attributed to their enhanced ability to detect AI errors, allowing for more calibrated and resilient trust. …”
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Shaping ability of NiTi reciprocating file systems R-motion and waveOne gold in mesial canals of mandibular molars; micro CT study by Mona Alsulaiman, Loai Alsofi, Mey A. Alhabib

“…Nickel-titanium (NiTi) rotary systems have been refined to optimize canal shaping while minimizing iatrogenic errors. …”
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Study of causes for neck contraction of gas injection-production well in salt cavern gas storage and its preventive and remedial measures by Zhaoheng ZHOU, Yuxing LI, Min LIN, Hongshuai GUO, Jianfu WANG

“…Various methods were employed to investigate the factors behind neck contraction, such as numerical simulation analysis, multiarm caliper measurements, and downhole TV monitoring. …”
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Leveraging Artificial Neural Networks for Real-Time Speech Recognition in Voice-Activated Systems by Kumar V Suresh, B Raveendra Nadh, S Sureshkumar, Suresh Kumar Anisetty, S R Arun Raj, G Sheeba

“…Performance in contextual understanding remains a problem, errors in pronunciation or deviations from the dialect tend to lead to mistakes. …”
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Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images by K. Lakshmi, Sibi Amaran, G. Subbulakshmi, S. Padmini, Gyanenedra Prasad Joshi, Woong Cho

“…Finally, an improved radial movement optimization model is employed for the hyperparameter tuning of the BRANN technique. …”
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A Single Layer Neural Network Implemented by a <inline-formula><tex-math notation="LaTeX">$4\times 4$</tex-math></inline-formula> MZI-Based Optical Processor by Farhad Shokraneh, Simon Geoffroy-Gagnon, Mohammadreza Sanadgol Nezami, Odile Liboiron-Ladouceur

“…Using this method, a single layer neural network is trained to classify a synthetic linearly separable multivariate Gaussian dataset on a conventional computer using a stochastic optimization algorithm. Additionally, the effect of the phase errors and uncertainties caused by the experimental equipment inaccuracies and the device components imperfections is also analyzed and simulated. …”
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Automating attendance management in human resources: A design science approach using computer vision and facial recognition by Bao-Thien Nguyen-Tat, Minh-Quoc Bui, Vuong M. Ngo

“…By doing so, it minimizes manual intervention and reduces errors, thereby strengthening accountability. Additionally, the integration of OpenCV2 and the NVIDIA Jetson Nano optimizes processing efficiency, making it suitable for resource-constrained environments. …”
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Digital twin manifesto for the pathology laboratory by Albino Eccher, Fabio Pagni, Massimo Dominici, Luca Reggiani Bonetti, Stefano Marletta, Enrico Munari, Giorgio Cazzaniga, Anil V Parwani, Vincenzo L’Imperio, Angelo Paolo Dei Tos

“…The framework highlights measurable gains such as up to 90% reduction in labeling errors, 20–30% improvements in slide quality, and 30–50% reductions in diagnostic turnaround time. …”
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Bidirectional reduced-order electrothermal modeling of power MOSFETs for electric vehicle thermal management applications by Chih-Chun Hsu, Yi-Hsuan Hsieh, Hsiao Chi Tang, Yu-Min Meng, Ming-Shi Huang, Po-Hsuan Tseng, Hai-Han Lu, Hua-Yi Hsu

“…Comprehensive validation using TO-263 packaged MOSFETs under constant power, dynamic cycling, and standardized driving cycles (UDDS, US06, NYCC) demonstrates exceptional accuracy with maximum temperature errors below 5.1 % while achieving over 99 % computational reduction compared to CFD approaches. …”
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Opportunities and challenges of quantum computing for climate modeling by Mierk Schwabe, Lorenzo Pastori, Inés de Vega, Pierre Gentine, Luigi Iapichino, Valtteri Lahtinen, Martin Leib, Jeanette Miriam Lorenz, Veronika Eyring

“…We discuss how quantum computers could accelerate climate models by solving the underlying differential equations faster, how quantum machine learning could better represent subgrid-scale phenomena in ESMs even with currently available noisy intermediate-scale quantum devices, how quantum algorithms aimed at solving optimization problems could assist in tuning the many parameters in ESMs, a currently time-consuming and challenging process, and how quantum computers could aid in the analysis of climate models. …”
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A Method to Improve Computational Efficiency of Productivity Evaluation with Rectangular Coalbed Methane Reservoir by Li Chen, Sun Lichun, Sun Hansen, Feng Ruyong, Wang Cunwu, Zhang Fang

“…It is clear that the factor is prone to calculation errors when the time is small, and the calculation fluctuates greatly. …”
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Data enhanced iterative few-sample learning algorithm-based inverse design of 2D programmable chiral metamaterials by Zhao Zeyu, You Jie, Zhang Jun, Du Shiyin, Tao Zilong, Tang Yuhua, Jiang Tian

“…Then, the algorithm uses the CD spectra and the predictions of parameters with smaller errors iteratively to achieve accurate values of the remaining parameters. …”
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The Effect of Gamified Physical Activities on the Quality of Students' Leisure Time (Case Study: Female Secondary School Students in Ardabil City) by aylar sefidgar, Hamed Kheirollahi Meidani, Mehrdad Moharramzadeh

“…The statistical population included female high school sophomores in Ardabil city, from which 30 were selected by convenience sampling and divided into two groups of 15, experimental and control. Data analysis was performed using Shapiro-Wilk parametric tests, two-way analysis of variance, and Bonferroni's post hoc tests at a significance level of P<0.05 using SPSS 26 software. …”
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