Eight quick tips for biologically and medically informed machine learning. by Luca Oneto, Davide Chicco

“…This integration has give rise to informed machine learning, in contrast to studies that lack domain knowledge and treat all variables equally (uninformed machine learning). While the application of informed machine learning to bioinformatics and health informatics datasets has become more seamless, the likelihood of errors has also increased. …”
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Benchmarking AI and human text classifications in the context of newspaper frames: A multi-label LLM classification approach by Alexander Tripp

“…I also find that LLMs tend toward false positive errors. This application provides practical methodological guidance for applied researchers using LLMs in data coding. …”
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SPORT PSYCHOMETRY, PARTICIPANTS AND INVARIANCE: A CRITICAL REVIEW by Flávio Rebustini, Marcos Alencar Abaide Balbinotti, Renata Eloah de Lucena Ferretti-Rebustini, Afonso Antonio Machado

“…The absence of control of this information in the sporting context and the participant can cause measurement inaccuracy, limitation in application, errors in interpretations and inappropriate interventions, loss of reproducibility and limitations in comparative studies. …”
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Investigation of directional rearing by Czesław PUZYNA

“…The results show that the external auditory canal has dominating influence on the efficiency of localizing signals at low frequencies, while the pinna has a prevailing effect at high frequencies. Application of ear plugs or ear muffs worsens the accuracy of the localization of sound sources in the frequency ranges mentioned above. …”
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Expanding Network RTK Coverage Using an Ionospheric-Free Combination and Kriging for Tropospheric Delay by Bu-Gyeom Kim, Donguk Kim, Junesol Song, Changdon Kee

“…In this study, we propose the utilization of an ionospheric-free combination and the application of a Kriging weighting model to mitigate tropospheric delay to extend the coverage of NRTK through network expansion. …”
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LIGHT-EMITTING DIODE (LED) AND LASER GAS ANALYSERS FOR IMPROVING EFFICIENCY OF FUEL BURNING IN HEAT POWER ENGINEERING by V. A. Firago, S. N. Drozd, V. Voujtsik, M. M. Kougejko, I. S. Manak

“…This control is made by means of smoke flow exposure without taking samples and ensuring small errors and operational reliability.…”
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CAD AND CAE METHODS IN COMPUTER ASSISTED DESIGN OF WORM MESHES by Henryk SABINIAK, Robert CICHOWICZ

“…One important feature of worm gear meshes is their complex geometry and now the application of computer aided design allows for mapping their real construction patterns with great affinity. …”
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Investigation on the wear of spur gears generated by modified cutter by Fangyan Zheng, Jun Zhang, Ligang Yao, Rulong Tan

“…Excessive wear leads to tooth profile loss and an increase in transmission errors, as the worn gear surfaces are no longer conjugate. …”
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Determining the force of interaction in a wheel - rail system based on measuring stresses in rails neck by Yu. S. Romen, O. A. Suslov, A. A. Balyaeva

“…The calculations were made by subtracting electrical signals (four strain gauges were included in the shoulders of the Wheatstone bridge), and a separate bridge was used to determine the vertical load. Errors in determining the lateral force are due to inaccurate location of the sensor sticking, the difference in the dimensions of the rail neck and the displacement of the point of application of the vertical load on the rail head. …”
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Development and Types of Passive Samplers for Monitoring Atmospheric NO2 and NH3 Concentrations by Y.S. Tang, J.N. Cape, M.A. Sutton

“…The interference from the chemical reaction is severe close to NO sources, with errors up to 30% for curbside locations when using the ‘tubetype’ sampler. …”
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A novel model for malaria prediction based on ensemble algorithms. by Mengyang Wang, Hui Wang, Jiao Wang, Hongwei Liu, Rui Lu, Tongqing Duan, Xiaowen Gong, Siyuan Feng, Yuanyuan Liu, Zhuang Cui, Changping Li, Jun Ma

“…<h4>Results</h4>The root mean square errors (RMSEs) of the four sub-models were 13.176, 14.543, 9.571 and 7.208; the mean absolute scaled errors (MASEs) were 0.469, 0.472, 0.296 and 0.266 and the mean absolute deviation (MAD) were 6.403, 7.658, 5.871 and 5.691. …”
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Calibration Transfer of Soil Total Carbon and Total Nitrogen between Two Different Types of Soils Based on Visible-Near-Infrared Reflectance Spectroscopy by Xue-Ying Li, Yan Liu, Mei-Rong Lv, Yan Zou, Ping-Ping Fan

“…The maximum relative errors were reduced from 538.1% to less than 20% for TN and from 403.7% to less than 20% for TC. …”
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Evaluating the Performance of Large Language Models on the CONACEM Anesthesiology Certification Exam: A Comparison with Human Participants by Fernando R. Altermatt, Andres Neyem, Nicolás I. Sumonte, Ignacio Villagrán, Marcelo Mendoza, Hector J. Lacassie

“…Item difficulty significantly predicted the model accuracy, while discrimination did not. Most errors occurred in application and understanding tasks and were linked to flawed reasoning or knowledge misapplication. …”
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Automatic measurement of fetal lung volume by 3D ultrasound based on 3D-nnUnet by WANG Lin, CAO Yan, DENG Ziwei, HU Jiongtong, LIANG Jiamin, CAO Xiaoyan, PAN Wenxiong, YAN Yuling, SUN Zhiwei, YANG Xin, NI Dong

“…However, the existing methods for measuring fetal lung volume suffer from huge errors, tedious and time-consuming operations, and poor clinical practicability. …”
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Validation of a Novel Data-Driven Algorithm to Detect Atypical Prescriptions in Radiation Therapy by Connor Thropp, MS, Jaroslaw Hepel, MD, Timothy Leech, Eric E. Klein, PhD, Qiongge Li, PhD

“…Simulated anomalies were created to mimic potential errors and were used in the training and testing of the model. …”
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Notice of Violation of IEEE Publication Principles: Reversible Data Hiding and Smart Multimedia Computing Using Big Data in Remote Sensing Systems by Rahul Malik, Aditya Khamparia, Sahil Garg, Deepak Gupta, Bong Jun Choi, M. Shamim Hossain

“…These features can provide a framework for an on-demand DTM output and scalable application services. Furthermore, the proposed approach can expect to benefit other real-time applications in LiDAR systems.…”
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Evaluación de percepción de riesgo ocupacional // Occupational risk perception evaluation by Ana Teresa Carbonell - Siam, Antonio Torres - Valle

“…</p><p><br />Key words: risk, risk perception, human errors, risk perception variables, risk perception evaluation.…”
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GPE-DNeRF:Neural radiance field method for surface geological bodies reconstruction by Xinyi Wang, Weihua Hua, Xiuguo Liu, Peng Li, Guohe Li

“…These errors can hinder the model's ability to accurately reconstruct surface details, resulting in substantial distortions in the final output. …”
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Quantification of chlorophyll-a in inland waters by remote sensing algorithm based on modified equivalent spectra of Sentinel-2 by Wenbin Pan, Fei Yu, Jialin Li, Chunqiang Li, Ming Ye

“…However, such equivalent spectra often result in significant errors when retrieving chlorophyll-a (Chl-a) concentrations due to discrepancies between in-situ and satellite-derived spectra. …”
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Evaluation of Satellite-Based Global Navigation Satellite System Reflectometry (GNSS-R) Soil Moisture Products in Complex Terrain: A Case Study of the Yunnan–Guizhou Plateau by Yixiao Liu, Yong Wang, Jingcheng Lai, Yunjie Lin, Leyan Shi

“…This study provides the first comprehensive analysis of CYGNSS in such a complex region, offering valuable insights for improving the application of GNSS-R inversion technology.…”
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