Erroneous Classification and Coding as a Limitation for Big Data Analyses: Causes and Impacts Illustrated by the Diagnosis of Clavicle Injuries by Robert Raché, Lara-Sophie Claudé, Marcus Vollmer, Lyubomir Haralambiev, Denis Gümbel, Axel Ekkernkamp, Martin Jordan, Stefan Schulz-Drost, Mustafa Sinan Bakir

“…<b>Conclusions</b>: Our findings indicate that diagnostic misclassification of clavicle fractures is common, particularly between medial and midshaft fractures, often resulting from errors in multiple categories. …”
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Improving quantum metrology protocols with programmable photonic circuits by de las Heras Alberto Muñoz, Porras Diego, González-Tudela Alejandro

“…Deterministic protocols using non-linear interactions offer a path to overcome this problem, but they are currently limited by the errors introduced during the interaction time. Thus, finding strategies to minimize the interaction time of these non-linearities is still a relevant question. …”
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RunicNet: Leveraging CNNs With Attention Mechanisms for Cervical Cancer Cell Classification by Erin Beate Bjørkeli, Morteza Esmaeili

“…Introduction: Early detection through routine screening methods, such as the Papanicolaou (Pap) test, is crucial for reducing cervical cancer mortality. …”
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Numerical simulation of experiments on determining the type of initial anisotropy of an elastic material by D.V. Khristich, D.A. Sukhorukov, M.Yu. Sokolova

“…A program of experiments that allows one to determine the type of an anisotropic material without finding all the components of the elastic compliance tensor in an arbitrary laboratory coordinate system and, simultaneously, to detect the position of the canonical axes of anisotropy in the material is developed. …”
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Prevalence and root causes of operating room fires in the United States 2014–2024 by Monica M. Attia

“…Intraoperative fires comprised the majority (35.6%). Operator error accounted for 37.8% of cases, with common errors including device mishandling (35.2%) and failure to detect damage (17.6%). …”
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Precision Soil Moisture Monitoring Through Drone-Based Hyperspectral Imaging and PCA-Driven Machine Learning by Milad Vahidi, Sanaz Shafian, William Hunter Frame

“…Moreover, over the growing season, when corn exhibits high chlorophyll content and increased resilience to environmental stressors, the correlation between canopy spectrum and root zone soil moisture weakens. Error analysis revealed the lowest relative estimation errors in non-irrigated plots at a 30 cm depth, aligning with periods of elevated water stress at shallower levels, which drove deeper root growth and strengthened the canopy reflectance relationship. …”
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A smart pen prototype with adaptive algorithms for stabilizing handwriting tremor signals in Parkinson’s disease by Jéssica Cristina Tironi, Anita Fernandes, Renata Coelho Borges, Luis Augusto Silva, Wemerson Delcio Parreira

“…Simulation results revealed that although the RLS algorithm achieved the lowest mean square error, the Kalman Filter converged approximately eight times faster, a finding that was confirmed through microcontroller tests and further validated on an orbital shaking table under constant and variable tremor conditions. …”
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Recent advances in journal bearings: wear fault diagnostics, condition monitoring and fault diagnosis methodologies by Nazik Jebur, Wafa Soud

“…Despite these remarkable advancements, challenges persist due to the lack of uniform evaluation criteria and the focus on specific error types under particular operating conditions. …”
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A shortened 10-item Spine Functional Index: clinimetric properties indicate a reliable, responsive and practical measure by Hamid Reza Mokhtarinia, Antonio Cuesta-Vargas, Almir Vieira Dibai-Filho, Markus Melloh, Agnieszka Bejer

“…Subgroups determined reliability (n = 104, intraclass correlation coefficient, ICC2.1); error (n = 171) through the standard error of measurement (SEM) and minimum detectable change (MDC90). …”
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SLAM Performance Evaluation on Uneven Terrain Under Varying Illuminance Conditions and Trajectory Lengths by Amirul Jamaludin, Syaimaa' Solehah Mohd Radzi, Norhidayah Mohamad Yatim, Nazlee Azmeer Masuan, Norsharimie Mat Adam, Nur Aisyah Syafinaz Suarin, Pazli Mohd Sulong, Siti Sofiah Mohd Radzi

“…Performance metrics, including distance error and loop closure detection, were used to assess the impact of trajectory length and illuminance. …”
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Accuracy of Vegetation Height and Terrain Elevation Derived from Terrestrial Ecosystem Carbon Inventory Satellite in Forested Areas by Zhao Chen, Sijie He, Anmin Fu

“…Our analysis revealed that TECIS-derived ground and canopy height estimates exhibited mean errors of 0.7 m and −0.35 m, respectively, with corresponding root mean square error (RMSE) values of 3.83 m and 2.70 m. …”
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Machine Learning Approach to Identifying Wrong-Site Surgeries Using Centers for Medicare and Medicaid Services Dataset: Development and Validation Study by Yuan-Hsin Chen, Ching-Hsuan Lin, Chiao-Hsin Fan, An Jim Long, Jeremiah Scholl, Yen-Pin Kao, Usman Iqbal, Yu-Chuan Jack Li

“…Machine learning (ML) models, which have shown success in detecting medication errors, may offer a solution by identifying unusual procedure-diagnosis combinations. …”
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Understanding the impact of AI Hallucinations on the university community by Hend Kamel

“… Since we live in the era of the information revolution, finding trusted and accurate information takes time and effort made students and researchers aim to find an easier way. …”
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Explaining the Earnings Management Prediction Model Using the Hybrid of Machine Learning Methods by Hassan Hassani, Esfandiar Malekian Kallehbasti, Yahya Kamyabi

“…The performance of each machine learning method at predicting accrual-based earnings management and real earnings management was evaluated based on three criteria: type Ι error, type ΙΙ error, and average accurac.FindingThe results show that the performance of accrual-based earnings management forecasting methods based on the relief-based feature selection model is better than the feature selection model based on principal component analysis. …”
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Attitudes and Preferences of Self-Repair and Corrective Feedback of Oral Production in Classroom: A Corpus-Based Study The case of Second Year LMD students at the University of “F... by Fahima AOUICHE

“…These findings lend a strong support for our hypothesis, which speculates that the betterment of students’ spoken language can be achieved through a conscious cooperation between teachers and students regarding each others’ preferences towards error treatment. …”
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Optimized design and performance evaluation of a highly precise variable rate mis-planting and replanting potato electronic-metering mechanism by Abdallah Elshawadfy Elwakeel, Ahmed Elbeltagi, Ali Salem, Ali Salem, Ahmed Z. Dewidar, Ahmed Z. Dewidar

“…IntroductionPrecise seed placement during potato planting critically determines crop distribution and density, yet mis-planting remains a persistent agricultural challenge. Current manual detection and correction methods introduce inefficiencies, increase labor costs, and risk human error.MethodologyTo address these limitations, this study developed and evaluated a high-precision variable-rate electronic metering mechanism (EMM) capable of automated mis-planting detection and replanting under controlled laboratory conditions. …”
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Numerical simulation and field verification of high-pressure sour natural gas erosion within wellhead skid-mounted choke manifold by Zhaoqian LUO, Xingping TIAN, Huanhuan WANG, Bo1 WANG, Zhouyu PENG, Kexi LIAO, Guoxi HE, Hanyu ZHONG

“…Conclusion The findings of this study provide valuable theoretical guidance for the safe detection of field facilities in high-pressure sour gas reservoirs. …”
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The use of artificial intelligence for automatic analysis and reporting of software defects by Mark Esposito, Mark Esposito, Saman Sarbazvatan, Terence Tse, Gabriel Silva-Atencio

“…In this context, artificial intelligence (AI) has taken a relevant role in improving these processes, since it incorporates mathematical models that allow analyzing the logical structure of the systems to detect and reduce errors or failures in real-time. …”
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Current practices for assessing usability of novel point-of-care diagnostics for infectious diseases: a scoping review protocol by Claudia Denkinger, Sonjelle Shilton, Elena Ivanova Reipold, Seda Yerlikaya, Maria del Mar Castro, Horeya M Ismail, Carlos Alberto Montenegro-Quiñonez

“…Ensuring test performance and quality while minimising the risk of human error becomes more relevant when shifting testing tasks from highly controlled settings like centralised laboratories to people with minimal training. …”
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COMPUTATIONAL THINKING IN THE PROBLEM OF RELIABLE AND SECURE DATA TRANSMISSION OVER A COMMUNICATION CHANNEL by Kirill V. Agievets, Andarbek Z. Ahmadov, Grigory A. Ivanenko, Mikhail A. Ivanov, Mikael A. Kondakhchan, Andrey V. Starikovsky

“…There are three problems that have to be solved when transmitting data over communication channels: detection and correction of errors caused by interference in communication channels; ensuring of transmitted data privacy; protection against injection of false data. …”
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