Ultra-compact dual-channel integrated CO2 infrared gas sensor by Liyang Feng, Yanxiang Liu, Yi Wang, Hong Zhou, Zhongming Lu, Tie Li

“…The minimum size of the developed sensor was 12 mm × 6 mm × 4 mm, and the reading error was <4% of the reading from −20 °C to 50 °C. …”
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Assessing the Impact of Force Feedback in Musical Knobs on Performance and User Experience by Ziyue Piao, Christian Frisson, Bavo Van Kerrebroeck, Marcelo M. Wanderley

“…The study assessed objective performance metrics (<i>Pitch Error</i> and <i>Pitch Deviation</i>) and subjective user experience ratings (<i>Comfort</i>, <i>Ease of Control</i>, and <i>Helpfulness</i>) of each haptic mode. …”
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A crack detection and quantification method using matched filter and photograph reconstruction by Liu Zhen-liang, Zhou An, Ran Xin-ru, Wu Yun-peng, Zhao Wei-gang, Zhang Hao

“…Moreover, the proposed methodologies were successfully applied to an arch bridge with an error of only 2%, thereby demonstrating their applicability to real-world scenarios.…”
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Novel numerical and artificial neural computing with experimental validation towards unsteady micropolar nanofluid flow across a Riga plate by Muhammad Bilal, F. Maiz, Muhammad Farooq, Hijaz Ahmad, Mohammad Khalid Nasrat, Hassan Ali Ghazwani

“…The UMNF flow model is validated, tested, and trained with an average numerical error of 10−9, ensuring high accuracy in energy, velocity, microorganism motility, and concentration predictions.…”
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Optimizing Lightweight Recurrent Networks for Solar Forecasting in TinyML: Modified Metaheuristics and Legal Implications by Gradimirka Popovic , Zaklina Spalevic , Luka Jovanovic , Miodrag Zivkovic , Lazar Stosic , Nebojsa Bacanin 

“…The best-performing models are further examined for their applicability in embedded tiny machine learning (TinyML) applications. …”
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The promise and peril of comparing fluorescence lifetime in biology revealed by simulations by Pingchuan Ma, Peter Chen, Scott Sternson, Yao Chen

“…To address this, we introduce FLiSimBA, a flexible computational framework for realistic Fluorescence Lifetime Simulation for Biological Applications. Through simulations, we analyze the signal-to-noise ratios of fluorescence lifetime data, determining measurement uncertainty and providing necessary error bars for lifetime measurements. …”
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The impact of health insurance models on reducing DALYS from cardiovascular diseases and neoplasms: A panel study across 51 OECD member and candidate countries by Aleksandra Kuzior, Zhanat Khishauyeva, Narek M. Kesoyan, Dmytro Sukov, Natalia Sidelnyk, Nataliia Sheliemina, Tetiana Vasylieva

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A Cascaded Network With Coupled High-Low Frequency Features for Building Extraction by Xinyang Chen, Pengfeng Xiao, Xueliang Zhang, Dilxat Muhtar, Luhan Wang

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Physical Model for the Simulation of an Air Handling Unit Employed in an Automotive Production Process: Calibration Procedure and Potential Energy Saving by Luca Viscito, Francesco Pelella, Andrea Rega, Federico Magnea, Gerardo Maria Mauro, Alessandro Zanella, Alfonso William Mauro, Nicola Bianco

“…The model was calibrated and validated using experimental data of a real case study of an automotive production process, obtaining mean errors of 16% and 31% for the hot and cold heat exchangers, respectively, in predicting the water mass flow rate. …”
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Real-Time Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation and Spatially Regularized Independent Low-Rank Matrix Analysis With Fast Demixing Matrix... by Yuto Ishikawa, Tomohiko Nakamura, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo

“…Real-time speech extraction is a valuable task and has diverse applications, such as speech recognition in a human-like avatar/robot and hearing aids. …”
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Securing Medication Use in Pediatric Oncology Units in French-Speaking Africa: MAEva Pilot Program Results in Ivory Coast by Line Couitchere, Innocent Krasse, Léa Zaho, Marina Yao, Guy Yao, Carole Coze, Nadine Robert, Olga Molly, Max N'Doumy, Charles Akoun, Bertrand Pourroy

“…The aim of this study was to adapt and implement a proactive risk assessment tool for medication use in pediatric oncology units in French-speaking Africa to reduce medication errors and enhance patient safety.METHODSThe médiEval French tool was adapted into the MAEva tool for the African context through a three-stage process: content review by a multidisciplinary group, content formatting, and item modification/validation. …”
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Exploring the influence of pre-analytical variables on gene expression measurements and relative expression orderings in cancer research by Tian Tian, Guie Lai, Ming He, Xiaofang Liu, Yun Luo, You Guo, Guini Hong, Hongdong Li, Kai Song, Hao Cai

“…However, measurements are prone to uncertainty and errors due to various pre-analytical variables. Systematic evaluating effects of these variables on gene expression measurements and relative expression orderings (REOs) of gene pairs, is necessary. …”
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An Incongruent 2-Minute Stroop Task Alters the Response Time Performance in Semi-Elite Soccer Players: A Pilot Study by Andrés Prieto-Sánchez, Juan M. García-Ceberino, Juan Luis Leon-Llamas, Santos Villafaina

“…Offering a protocol with a shorter duration that is more applicable in ecological situations seems to be an exciting challenge. …”
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Self-Calibrating TSEP for Junction Temperature and RUL Prediction in GaN HEMTs by Yifan Cui, Yutian Gan, Kangyao Wen, Yang Jiang, Chunzhang Chen, Qing Wang, Hongyu Yu

“…By integrating I_G, aging-induced degradation, and failure-in-time (FIT) models, the approach achieves a junction temperature estimation error of less than 1%. Long-term hard-switching tests confirm its effectiveness, with calibrated R_{DS_ON} measurements enabling precise remaining useful life (RUL) predictions. …”
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A Hybrid Deep Learning Model for Enhanced Structural Damage Detection: Integrating ResNet50, GoogLeNet, and Attention Mechanisms by Vikash Singh, Anuj Baral, Roshan Kumar, Sudhakar Tummala, Mohammad Noori, Swati Varun Yadav, Shuai Kang, Wei Zhao

“…Traditional methods of damage assessment, which rely on manual inspections, can be labor-intensive and subject to human error. This paper introduces a hybrid deep learning model that combines the capabilities of ResNet50 and GoogLeNet, further enhanced by a convolutional block attention module (CBAM), proposed to improve both the accuracy and performance in detecting structural damage. …”
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Improved Isolation of Ultra-High-Molecular-Weight Genomic DNA Suitable for Third-Generation Sequencing by Ayşe Öykü Ova, Enrique Joffre, Reza Zandi Shafagh, Mariana F. G. Assunção, Roman Y. Sidorov, Lilia M. A. Santos, Volker M. Lauschke, Ute Römling

“…Although a variety of protocols to isolate high-molecular-weight genomic DNA exist, the isolation and preservation of ultra-high-molecular-weight genomic DNA of sufficient quality and length for error-free third-generation sequencing remains challenging. …”
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Sagnac Interference-Based Contact-Type Fiber-Optic Vibration Sensor by Hongmei Li, Longhuang Tang, Lijie Zhang, Wenjuan Huang, Rong Cao, Cheng Huang, Xiaobo Hu, Yifei Sun, Jia Shi

“…The experimental results show that the relative measurement error of the fiber-optic vibration sensor for healthy and faulty bearings is less than 1.8%, which verifies the effectiveness and accuracy of the sensor. …”
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Numerical and experimental analysis of temperature-dependent wear in rocket sled shoe materials by Boyi Qi, Ling Qi, Peiyao Tian, Mingshi Wang, Fan Zhang, Wenbo Zhuang, Weixing Zhao, Lei Wang, Kun Sun

“…Results revealed strong agreement between simulations and experiments, with an average wear depth error below 20 % and pronounced wear localization at the slider front and center under increased speeds. …”
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Deep Learning-Based Multimode Fiber Distributed Temperature Sensing by Luxuan Yang, Xiaoyan Wang, Tong Wu, Huichuan Lin, Songjie Luo, Ziyang Chen, Yongxin Liu, Jixiong Pu

“…It was shown that the location prediction accuracy reached 100%, while the temperature prediction accuracy (within a ±1 °C error margin) was 100% and 95.12% in the two experiments, respectively. …”
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Enhanced OCV Estimation in LiFePO4 Batteries: A Novel Statistical Approach Leveraging Real-Time Knee/Elbow Detection by Teodor-Iulian Voicila, Bogdan-Adrian Enache, Vasilis Argyriou, Panagiotis Sarigiannidis, Mihai-Alexandru Pisla, George-Calin Seritan

“…The proposed method, validated with extensive experimental data, achieves high accuracy, with a computed error of less than 0.26% for charging and under 1.2% for discharging.…”
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