On a modified Bernstein operators approximation method for computational solution of Volterra integral equation by Khursheed J. Ansari, Fuat Usta

“…The stability of the algorithm is discussed in the context of errors resulting from the numerical approximation of Volterra integral equations. …”
Get full text

Like it! Maps as a Subject and a Springboard for discussion in social media by Nieścioruk Kamil

“…Due to time pressure, many cartographic publications that have a short life span on the internet contain a lot of methodological errors. Viewers receive an image that is hard to interpret, incomplete or even incorrect. …”
Get full text

Bridge Deflection Separation Prediction Model Based on DWT-LSTM and Its Engineering Application by ZHENG Shuai, JIANG He, WANG Zhongchang, DING Jia, YANG Yi

“…In contrast, the DWT-LSTM deflection separation model achieved the highest accuracy, with root mean square error of only 2.18 mm and mean absolute error of only 2.05 mm. (4) Analysis of the dominant factors influencing noise deflection using the Maximal Information Coefficient (MIC) showed correlation coefficients of 0.35 for temperature and 0.51 for load, indicating that vehicle load has a greater impact on noise deflection than temperature.ConclusionsThis paper presents a DWT-LSTM-based bridge deflection separation prediction model, suitable for predicting long-term deflection variation patterns. …”
Get full text

Comprehensive Uncertainty Quantification in Nuclear Safeguards by E. Bonner, T. Burr, T. Krieger, K. Martin, C. Norman

“…Statistical analyses used to support these conclusions require uncertainty quantification (UQ), usually by estimating the relative standard deviation (RSD) in random and systematic errors associated with each measurement method. …”
Get full text

No evidence that age affects different bilingual learner groups differently: Rebuttal to van der Slik, Schepens, Bongaerts, and van Hout (2021) by Joshua Hartshorne

“…After correcting conceptual and mathematical errors in their analyses, the results strongly confirm the original conclusions of Hartshorne and colleagues: every type of bilingual investigated shows a sharp drop in learning rate in late adolescence.…”
Get full text

Integrating AI into clinical education: evaluating general practice trainees’ proficiency in distinguishing AI-generated hallucinations and impacting factors by Jiacheng Zhou, Jintao Zhang, Rongrong Wan, Xiaochuan Cui, Qiyu Liu, Hua Guo, Xiaofen Shi, Bingbing Fu, Jia Meng, Bo Yue, Yunyun Zhang, Zhiyong Zhang

“…Regression analysis revealed that shorter response times (OR = 0.92, P = 0.02), higher self-assessed AI understanding (OR = 0.16, P = 0.04), and more frequent AI use (OR = 10.43, P = 0.01) were associated with stricter error detection criteria. Conclusions The study concluded that GP trainees faced challenges in identifying ChatGPT-4o’s errors, particularly in clinical scenarios. …”
Get full text

Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis by Emily Ha, Isabelle Choon-Kon-Yune, LaShawn Murray, Siying Luan, Enid Montague, Onil Bhattacharyya, Payal Agarwal

“…While all AI scribes produced good to excellent quality medical notes, none were consistently error-free. Common errors included deletion, omission, and SOAP structure errors. …”
Get full text

Validation of Sleep Measurements of an Actigraphy Watch: Instrument Validation Study by Mari Waki, Ryohei Nakada, Kayo Waki, Yuki Ban, Ryo Suzuki, Toshimasa Yamauchi, Masaomi Nangaku, Kazuhiko Ohe

“…The results were not sensitive to the specific participants included, with an ICC range of 0.96-0.97 for sleep duration and 0.79-0.87 for TST when applying our calibration equation to data removing one participant at a time and 0.96-0.97 for sleep duration and 0.79-0.86 for TST when recalibrating while removing one participant at a time. ConclusionsThe measurement errors of the uncalibrated iAide2 for both sleep duration and TST seem too large for them to be useful as absolute measurements, though they could be useful as relative measurements. …”
Get full text

АNALYSIS OF CLINICAL AND EXPERIMENTAL FORECASTING OF INFLUENCE OF ERGONOMICS OF DENTISTS WORK ON THE RESULT OF ENDONTIC TREATMENT by R.I. Ratushniy, N. Goderdzi, M.Yu. Goncharuk-Khomyn, S.B. Kostenko, I.V. Penzelyk, A.S. Chobeі

“…According to the results of modeling and theoretical justification of the implementation of the necessary ergonomic changes for each of the dentists of the study, the sample formulated a set of individual recommendations, the implementation of which in the workflow helped increase the effectiveness of endodontic interventions and reduce the number of errors. Conclusions. Modeling the main patterns of changes in the working position of dentists during root canal treatment and analysis of such in the structure of the digital environment according to the data, promotes targeted identification of problematic elements of the workflow in terms of compliance with ergonomic criteria and specifics of their changes, the possible fact of using optically magnifying equipment, work with rotary and manual types of endodontic instruments. …”
Get full text

A natural history study of pediatric patients with early onset of GM1 gangliosidosis, GM2 gangliosidoses, or gaucher disease type 2 (RETRIEVE) by Bénédicte Héron, Spyros Batzios, Eugen Mengel, Roberto Giugliani, Marc Patterson, Matthias Gautschi, Peter Cornelisse, Luba Trokan, Barbara Schwierin, Marianne Rohrbach

Get full text

Evaluation of thermal and kinetic parameters of fragment in gunshot injuries by Ye.I. Sokol, P.F. Shchapov, V.V. Nehoduiko, R.M. Suprun, K.R. Mygushchenko

“…It has been shown that the given errors in distinguishing between temperature and velocity levels are within the range of 25–30 % for a confidence probability of P = 0.8, and the error for the speed evaluation of a fragment is less than its temperature evaluation. …”
Get full text

Spatio-temporal distribution, prediction and relationship of three major acute cardiovascular events: Out-of-hospital cardiac arrest, ST-elevation myocardial infarction and stroke by Angelo Auricchio, Tommaso Scquizzato, Federico Ravenda, Ruggero Cresta, Stefano Peluso, Maria Luce Caputo, Stefano Tonazzi, Claudio Benvenuti, Antonietta Mira

“…INLA had a prediction error of 0.87, 0.77, and 1.50 events per year per municipality for OHCA, STEMI and stroke, whereas MLMM of 0.70, 0.74, and 1.09 events, respectively. …”
Get full text

Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study by Elizabeth AK Rowley, Patrick K Mitchell, Duck-Hye Yang, Ned Lewis, Brian E Dixon, Gabriela Vazquez-Benitez, William F Fadel, Inih J Essien, Allison L Naleway, Edward Stenehjem, Toan C Ong, Manjusha Gaglani, Karthik Natarajan, Peter Embi, Ryan E Wiegand, Ruth Link-Gelles, Mark W Tenforde, Bruce Fireman

“…However, the DRS-adjusted models underestimated the standard errors of VE estimates, with coverage sometimes below the 95% level. …”
Get full text

Facility-Based Delivery during the Ebola Virus Disease Epidemic in Rural Liberia: Analysis from a Cross-Sectional, Population-Based Household Survey. by John Ly, Vidiya Sathananthan, Thomas Griffiths, Zahir Kanjee, Avi Kenny, Nicholas Gordon, Gaurab Basu, Dale Battistoli, Lorenzo Dorr, Breeanna Lorenzen, Dana R Thomson, Ami Waters, Uriah G Moore, Ruth Roberts, Wilmot L Smith, Mark J Siedner, John D Kraemer

“…Limitations include the possibility of FBD secular trends coincident with the EVD period, recall errors, and social desirability bias.<h4>Conclusions</h4>We detected a 30% decreased odds of FBD after the start of EVD in a rural Liberian county with relatively few cases. …”
Get full text

Post-pandemic patient safety: have the characteristics of incidents with harm changed? Comparative observational study in primary care via review of medical records with a trigger... by Gerardo Garzón González, Tamara Alonso Safont, Oscar Aguado Arroyo, Cristina Villanueva Sanz, Arancha Luaces Gayán, Esther Zamarrón Fraile, Juan José Jurado Balbuena, Inmaculada Mediavilla Herrera, Research Team “TriggerPrim®”

“…Finally, no significant differences were found in the contributory factors. Conclusions No differences were found in the avoidability, severity, place of occurrence, or contributory factors of PSIHs before the pandemic and currently. …”
Get full text

Demographic characteristics and ocular needs of children attending child eye clinics in Cross River State, Nigeria: a retrospective analysis of clinical records by Nathan Congdon, Ciaran O'Neill, Lynne Lohfeld, Ving Fai Chan, Diarmuid O’Donovan, Ai Chee Yong, Christine Graham, Anne Effiom Ebri, Sara E O’Connor

“…Of those children, 71.2% (n=827) were diagnosed with refractive error. For management, 48.6% (n=1833) were prescribed spectacles and 40.5% (n=1527) were prescribed ocular medications. …”
Get full text

Wastewater-based epidemiology: deriving a SARS-CoV-2 data validation method to assess data quality and to improve trend recognition by Cristina J. Saravia, Peter Pütz, Christian Wurzbacher, Anna Uchaikina, Jörg E. Drewes, Ulrike Braun, Claus Gerhard Bannick, Nathan Obermaier

“…Our derived data quality categories are in good accordance with visual assessments.ConclusionGood data quality is crucial for trend recognition, both on the WWTP level and when aggregating data from several WWTPs to regional or national trends. …”
Get full text

The reliability of witness memories: a review of the factors influencing accuracy in the forensic context by João Miguel Alves Ferreira, Sergii Tukaiev

“…Understanding these factors is essential to improving the accuracy of witness evidence in the forensic context, ensuring that the justice system minimises the risk of judicial errors based on distorted or inaccurate memories. …”
Get full text

The Use of Neural Networks in Distance Education Technologies for the Identification of Students by O. A. Kozlova, A. A. Protasova

“…With an insufficient number of training sets (datasets), neural networks begin to perceive errors as reliable information, which, as a result, will lead to the need to retrain neural networks. …”
Get full text

Structuring and centralizing breast cancer real-world biomarker data from pathology reports through C-LAB artificial intelligence platform by Florent Le Borgne, Camille Garnier, Camille Morisseau, Yanis Navarrete, Yanina Echeverria, Juan Mir, Jaume Calafell, Tanguy Perennec, Olivier Kerdraon, Jean-Sébastien Frenel, Judith Raimbourg, Mario Campone, Maria Fe Paz, François Bocquet

“…C-LAB ® demonstrates significant potential to reduce manual workload, centralize data, and enable scalable, real-time reporting. Conclusion AI technologies like C-LAB ® show significant potential in creating accessible and actionable digital factories from complex pathology data, aiding in the precision management of diseases such as breast cancer diagnostics and treatment.…”
Get full text