Minimum uncertainty as Bayesian network model selection principle by Grigoriy Gogoshin, Andrei S. Rodin

“…Results The objective of the study is attained by (i) approaching model evaluation as a misspecification problem, (ii) estimating the effect that sampling error has on the satisfiability of conditional independence criterion, as reflected by Mutual Information, and (iii) utilizing this error estimate to penalize uncertainty with the novel Minimum Uncertainty (MU) model selection principle. …”
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Pilot Data for a New Headphone-Based Assessment of Absolute Localization in the Assessment of Auditory Processing Disorder (APD) by Jack Hargreaves, Julia Sarant, Bryn Douglas, Harvey Dillon

“…Front–back errors (FBEs) were evident, contributing to an average RMS error that was notably elevated when compared to similar free-field tasks. …”
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Influence of quadrature transformation imbalance on the noise immunity of signal reception with amplitude-phase shift keying by G. V. Kulikov, X. Kh. Dang

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Study on free oscillations of a micromechanical gyroscope taking into account the nonorthogonality of the torsion axes by M. R. Saypulaev, I. V. Merkuryev, A. V. Solovyev, A. N. Tarasov

“…They demonstrate the fact that the nonorthogonality of the torsion axes causes a cross-influence of the amplitudes of the primary vibrations on the amplitudes of the secondary vibrations of the sensing element, and the appearance of an additional error in the angular velocity readings when the gyroscope is operating in free mode.Discussion and Conclusions. …”
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Confident Learning-Based Label Correction for Retinal Image Segmentation by Tanatorn Pethmunee, Supaporn Kansomkeat, Patama Bhurayanontachai, Sathit Intajag

“…<b>Background/Objectives:</b> In automatic medical image analysis, particularly for diabetic retinopathy, the accuracy of labeled data is crucial, as label noise can significantly complicate the analysis and lead to diagnostic errors. To tackle the issue of label noise in retinal image segmentation, an innovative label correction framework is introduced that combines Confident Learning (CL) with a human-in-the-loop re-annotation process to meticulously detect and rectify pixel-level labeling inaccuracies. …”
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The Use of Pictorial Recall Aids Modifies Dietary Assessment Results: Experiences from Quantitative 24-hour Dietary Recalls of Young Children in Nepal and Senegal by Anna Vanderkooy, Elaine L Ferguson, Nisha Sharma, Ndèye Yaga Sy, Rosenette Kane, Alissa M Pries

“…Background: Recall bias or memory error is a known limitation of recall-based dietary assessment methods and can lead to substantial misrepresentation of diets. …”
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Severe Hypoglycemia and Pituitary Stalk Interruption Syndrome in a 5-Year-Old Boy with Coexistent Hyperprolinaemia: A Case Report and Literature Review by Aikaterini Theodosiadi, Ilektra Toulia, Maria G. Grammatikopoulou, Fotini Adamidou, Danai Chourmouzi, Charalampos Antachopoulos, Athanasios E. Evangeliou, Dimitrios G. Goulis, Kyriaki Tsiroukidou

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Improving medication safety with proactive reconciliation in acute coronary syndrome patients: A randomized trial by Mahdieh Fatemi-Nejad, Maryam Mehrpooya, Davoud Ahmadimoghaddam, Kimia Shirmohammadi, Maryam Zamanirafe, Mahdis Sharifikia, Azadeh Eshraghi

“…Background: Patients with acute coronary syndrome (ACS) are at an increased risk of medication errors due to the complexity of medication regimens, frequent transitions of care, the use of high-risk medications, and their vulnerability to adverse events. …”
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A novel method to predict the haemoglobin concentration after kidney transplantation based on machine learning: prediction model establishment and method optimization by Songping He, Xiangxi Li, Fangyu Peng, Jiazhi Liao, Xia Lu, Hui Guo, Xin Tan, Yanyan Chen

“…Finally, five kinds of machine learning methods, random forest, extreme gradient boosting, light gradient boosting machine, linear support vector classifier and support vector machine, were used to establish classification prediction models, and error-correcting output codes were used to optimize each model. …”
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Is a surgeon protected when treating complications after a previous operation? (a case study of treating patients with injuries and strictures of the extrahepatic bile ducts) by V. I. Belokonev

“…The authors emphasize the need for regular analysis of medical errors and improvement of the system of training surgeons.…”
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Case report: novel NFKB2 variant associated with pediatric eosinophilic granulomatosis with polyangiitis (EGPA) in the COVID-19 pandemic by Li Lin, Xin Peng, Lina Chen, Liqun Dong, Lin Zhong

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Near working distances adopted by university students while viewing printed materials by Nabeela Hasrod

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Clinical Evaluation of the 3nethra Aberro Handheld Autorefractometer by Selvamani Perumal, Surya Venkatramanan, Venkatramanan RJ, Jayanthi T, Jai Adithya, Anjaly Abraham, Henna Cherian

“…Conclusion: The 90% agreement between the error measurements done by two methods indicates that the 3nethra aberro handheld autorefractometer can function as an alternative for the time-consuming subjective refractive error measurement.…”
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Development of an Algorithm for Clustering Cardiac ECG Signals with Post-Correction for Long-Term ECG Monitoring by I. A. Kondratyeva, A. S. Krasichkov, O. A. Stancheva, E. Mbazumutima, F. Shikema, E. M.

“…The paper considers the effect of synchronization errors of clustered cardiac signals on the shape of the averaged cardiac complex. …”
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Preventable in-hospital deaths and years of life lost were uncommon among patients in a Finnish secondary teaching hospital by Saara Ketola, Heli Ylihärsilä, Peter Nieminen, Auvo Rauhala, Tuija S. Ikonen

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Study of the interval width of features for improving forecasting efficiency of the transport flow intensity by I. N. Pugachev, N. G. Sheshera, D. Yе. Grigorov

“…The coefficient values greater than 0.7 or less than -0.7 were accepted. The probability of error was also calculated, and values less than 0.05 were accepted. …”
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Complete Complement Factor I (CFI) deficiency: a systematic review of forty-nine patients including three novel cases by Erta Rajabi, Mahsa Choroom Kheirabadi, Nasrin Alipour Olyaei, Anne Molitor, Mohadese Sadat Mousavi Khorshidi, Morteza Heidari, Arash Abbasi, Parastoo Rostami, Mohadese Mahdavi, Raphael Carapito, Mohammad Shahrooei, Seiamak Bahram, Nima Parvaneh

“…Abstract Background Complete complement factor I (CFI) deficiency is an inborn error of immunity (IEI) that results in heightened susceptibility to infections and immune dysregulatory disorders. …”
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Prevention and treatment of the refractive amblyopia in pediatric keratoconus by Karyna Castro Cárdenas, Yaney Zayas Ribalta, Daniel Yulius Mayea Díaz, Linette Martínez Cereijo, Maikel Roque Morgado, Ricardo Andrés Molina Verona, Yumila Pupo García

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Gone and forgotten? Predictors of birth history omissions in India by Sharan Sharma, Sonalde Desai, Debasis Barik, Om Prakash Sharma

“…BACKGROUND: Fertility histories are subject to measurement errors such as incorrect birth dates, incorrect birth orders, incorrect sex, and omissions. …”
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Optimal nonlinear filtering of MPSK signals in the presence of a Doppler frequency shift by G. V. Kulikov, T. T. Do, R. R. Usmanov

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