Knee Osteoarthritis Detection and Classification Using Autoencoders and Extreme Learning Machines by Jarrar Amjad, Muhammad Zaheer Sajid, Ammar Amjad, Muhammad Fareed Hamid, Ayman Youssef, Muhammad Irfan Sharif

“…Traditional diagnostic methods rely heavily on the expertise of physicians and are susceptible to errors. The demand for utilizing deep learning models in order to automate and improve the accuracy of KOA image classification has been increasing. …”
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How and why do doctors communicate diagnostic uncertainty: An experimental vignette study by Caitríona Cox, Thea Hatfield, Zoë Fritz

“…Training in diagnostic uncertainty communication is rare, but many felt it would be useful. Conclusions Significant variation in diagnostic uncertainty communication exists, even in a controlled setting. …”
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Indocyanine green intravenous administration can more accurately identify the intersegmental plane than the inflation-deflation method in lung segmentectomy. by Takahiro Ochi, Yuichi Sakairi, Yuki Sata, Takahide Toyoda, Terunaga Inage, Kazuhisa Tanaka, Hajime Tamura, Masako Chiyo, Yukiko Matsui, Yuki Shiko, Masayuki Ota, Jun-Ichiro Ikeda, Ichiro Yoshino, Hidemi Suzuki

“…Accuracy was also tested using the Root Mean Squared Logarithmic Error (RMSLE): the smaller the RMSLE, the more accurate.…”
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Workplace Learning for Critical Core Skills Development: Empirical Evidence From Singapore by Xiao Fang Bi, Lena Boo

“…The empirical study revealed that everyday practices at workplaces facilitate learning pathway more effectively than formal and structured training, for instance, learning from the experience, errors, and also peers within the community of practice.  …”
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Modeling to predict cases of hantavirus pulmonary syndrome in Chile. by Elaine O Nsoesie, Sumiko R Mekaru, Naren Ramakrishnan, Madhav V Marathe, John S Brownstein

“…We considered several Auto Regressive Integrated Moving Average (ARIMA) time-series models and regression models with ARIMA errors with one or a combination of these climate variables as covariates. …”
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Big Data in Leadership Studies: Automated Machine Learning Model to Predict Preferred Leader Behavior Across Cultures by Erik Lankut, Gillian Warner-Søderholm, Ilan Alon, Inga Minelgaité

“…We discuss and offer conclusions to support our findings that foster development of global business managers and practitioners.…”
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Variation in recorded child maltreatment concerns in UK primary care records: a cohort study using The Health Improvement Network (THIN) database. by Jenny Woodman, Nick Freemantle, Janice Allister, Simon de Lusignan, Ruth Gilbert, Irene Petersen

“…Once we accounted for sex, age, and deprivation, the prevalence for each practice was within two standard errors of the grand mean.<h4>Conclusions</h4>General Practitioners (GPs) are far from disengaged from safeguarding children; they are consistently and increasingly recording maltreatment concerns. …”
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From fat to facts: Anthropometric references and centile curves for sum of skinfolds and waist-to-hip ratio in 2,507 adults. by Francesco Campa, Giuseppe Coratella, Cristian Petri, Fabrizio Spataro, Davide Charrier, Giuseppe Cerullo, Giulia Baroncini, Eleonora Faraone, Giorgio Pio Alberto Marinelli, Sofia Serafini, Salvatore Vaccaro, Matteo Pincella, Pascal Izzicupo, Antonio Paoli

“…In women, WHR increased by 0.003/year from the age of 20-65.<h4>Conclusions</h4>Σ8SKF and WHR appear sex- and age-specific. …”
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Dynamic Functional Ability in Lacrosse Players in Relation to Development of Sport-Related Onset of Musculoskeletal Pain by Zane Thompson, Joseph G. Wasser, Kevin R. Vincent, Heather K. Vincent

“…Detecting these pertinent biomechanical errors and subsequently developing proper training programs could help prevent lower extremity and low back pain onset…”
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Сomparative analysis of methods for calculating stamp modules of soil deformation by A. S. Prolygin, A. L. Kalinin, A. S. Aleksandrov, N. P. Aleksandrova

“…When processing data, each sample is checked for the presence of gross errors. The data samples are checked for belonging to one general population. …”
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FEATURES OF THE INFLUENCE OF LOW LEVELS OF ALCOHOL INTOXICATION ON THE FUNCTIONS OF THE HUMAN BRAIN by Borys V. Mykhailychenko, Andrii M. Biliakov, Alina O. Pletenetska

“…Levels of alcohol concentration in the blood of 0.1–0.3‰ did not show significant changes compared to the sober initial level. Conclusions. Alcohol at subclinical levels, particularly between 0.31 and 0.5‰, negatively affects cognitive performance in attention-based tasks, with increased effects seen in women and the elderly. …”
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Signs and features of law which cause the necessity of interpretation by V. K. Antoshkina

“…While agreeing with the statements and conclusions given, it is advisable to analyze these reasons in more detail and to supplement them. …”
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Prevalence of ocular disorders in Liberia: a retrospective study using the eyeSmart electronic medical record system by Anthony Vipin Das, Priyanka Kammari, Edward Bea Guizie, Rajashekar Varada, Gurcharan Singh

“…Majority of the patients were unemployed (60.54%) and the most common profession in the remaining cohort was a student (8.96%). # Conclusions Refractive error was found to be the most common ocular diagnosis and the second most common presentation was cornea and anterior segment disorders in Liberian population. …”
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The state and dynamics of the wavefront of the eye in children with different refractions engaged in regular sport activities (badminton) by E. P. Tarutta, N. A. Tarasova, G. A. Markossian, N. V. Khodzhabekyan, S. G. Harutyunyan, S. Georgiev

“…Regular badminton practice results in significant changes in wavefront aberrations, indicating a strengthening of the ligaments of the lens and the normalization of the ciliary muscle tone.Conclusions. The structure of the wavefront in children with different refractions shows significant differences. …”
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KF-NIPT: K-mer and fetal fraction-based estimation of chromosomal anomaly from NIPT data by Dongin Kim, Ji Yeon Sohn, Jin Hee Cho, Ji-Hye Choi, Gwi-young Oh, Hyun Goo Woo

“…We could demonstrate that our method has better accuracy and sensitivity compared to those of the previous methods. Conclusions We found that using k-mer and fetal fraction reduces errors in NIPT and have integrated this into a pipeline, showing that the traditional read count-based z-score method can be improved. …”
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Comorbidity and polypharmacy among people with HIV stratified by age, sex, and race by Misti Paudel, Girish Prajapati, Erin K. Buysman, Swarnali Goswami, Kimberly McNiff, Princy Kumar, Bekana K. Tadese

“…Results were compared using z-tests with robust standard errors in an ordinary least squares regression or Rao-Scott tests. …”
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Quality control of instruments for measuring the characteristics of bactericidal UV radiation by O. A. Minaeva, A. V. Ragutkin, S. I. Anevsky, R. V. Minaev, Th. T. Minh, I. A. Romanova

“…Deviations of the angular sensitivity of measuring instruments from the ideal cosine characteristic can significantly impact error estimation. They can also lead to the distortion of measurement results and a significant difference in instrument readings. …”
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Estimates of recent changes in snow storage in the river Northern Dvina basin from observations and modeling by V. V. Popova, D. V. Turkov, O. N. Nasonova

“…When describing the structure of the SWE variability, in particular, the contribution of trend and quasi-decadal fluctuations, as well as spatial characteristics, uncertainty remains associated with both the capabilities of the models under consideration and the imperfection of the observation network (insufficient density, measurement errors, etc.). Taking into account these uncertainties, the following conclusions can be made: the SWE variability in the Northern Dvina basin at the end of March has a low-frequency component (trend), as well as high-frequency, two- and five-year quasi-periodicities and quasi-decadal fluctuations. …”
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Urinary long non-coding RNA GAS5 as a noninvasive diagnostic biomarker for renal fibrosis by Ying Yu, Yang-yang Niu, Ying-ying Zhang, Chen Yu

“…AUCs of urinary GAS5 were even higher in moderate and severe renal fibrosis group.Conclusions While plasma GAS5 upregulation and urinary GAS5 suppression reflect inverse expression patterns in renal fibrosis, urinary GAS5 emerges as the dominant noninvasive biomarker due to its superior diagnostic performance (AUC = 0.868) and clinical accessibility.…”
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Validación de una encuesta de opinión sobre la eficacia de la simulación para participantes by Aida Camps-Gómez, Anna González-Fernández, Jennifer Morata-Serrano, Katherina M. Faundez-Inostroza, Carmen Gomar-Sancho, Marina Mateu-Capell

“…Mostró correlación con otras variables (r = 0,7) y fiabilidad de α= 0,963 (0,957-0,967); ω = 0,963 (0,955-0,970). Conclusión: la combinación de métodos cualitativos con cuantitativos ha permitido depurar el instrumento y detectar errores de método para reajustar el instrumento sin que afectara a su representatividad. …”
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