Estimating Maxillary Sinus Volume Using Smartphone Camera by Christoforos Meliadis, Emily Feng, Ezekiel Johnson, Wendy Zhu, Paramesh Gopi, Vivek Mohan, Peter H. Hwang, Jacob Johnson, Bryant Y. Lin

“…<italic>Results:</italic> We demonstrated a high degree of agreement between CT and face scans, with Mean Absolute Percentage Errors (MAPE) of 8.006 &#x00B1; 8.839&#x0025; (Width), 6.725 &#x00B1; 4.595&#x0025; (Height), 9.952 &#x00B1; 6.733&#x0025; (Depth), and 10.429 &#x00B1; 7.409&#x0025; (Volume). …”
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Chronic kidney disease patient safety in hemodialysis: evidence of scale validity and reliability by Leticia Lima Aguiar, Marina Guerra Martins, Renan Alves Silva, Thereza Maria Magalhães Moreira, Paulo César de Almeida, Joselany Áfio Caetano

“…Results: the EASPRCH consists of 15 items distributed across three domains: (1) Strategic Procedures for Error Prevention (6 items), (2) Organizational Processes in Health Management (5 items), and (3) Care Practices for Infection Control (4 items), with scoring available both by domain and overall. …”
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RETRACTED ARTICLE: Repression of lncRNA-SVUGP2 mediated by EZH2 contributes to the development of non-small cell lung cancer via brisking Wnt/β-catenin signal by Sen Wei, Jinghao Liu, Xin Li, Xingyu Liu

“…Artificial Cells, Nanomedicine, and Biotechnology, 47:1, 3400–3409, DOI: 10.1080/21691401.2019.1648279Since publication, the authors repeated some of their experiments and found that under the same conditions they could not repeat the results reported in this paper. As this error directly impacts the reported results and conclusions the authors alerted the issue to the Editor and Publisher and all have agreed to retract the article to ensure correction of the scholarly record.We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions.The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as ‘Retracted’.…”
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Effects of maternal isolated oligohydramnios on blood metabolic profile in term neonates: a retrospective observational study by Qiuping Yang, Zhirong Deng, Guixian Pan, Congcong Shi, Jie Li, Li Zhou, Ximei Yang, Guiying Zhuang, Bingqing Liu, Jie Song, Yao Cai

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An experimental study and prediction of dynamic deformation of wind turbine blade based on DIC by Jing Jia, Liru Zhang, Wei Gao, Tong Qiu, YuQi Hou, Jianwen Wang

“…The accuracy of the blade dynamic fluctuation deformation prediction model is verified by experiments and error analysis, and the study’s conclusions provide a reference for the design and safe operation of wind turbines.…”
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Enhancing Intermittent Spare Part Demand Forecasting: A Novel Ensemble Approach with Focal Loss and SMOTE by Saskia Puspa Kenaka, Andi Cakravastia, Anas Ma’ruf, Rully Tri Cahyono

“…The approach was empirically validated by comparing the model’s Mean Squared Error (MSE) performance and Area Under the Curve (AUC). …”
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The cerebellum is involved in implicit motor sequence learning by Mahyar Firouzi, Mahyar Firouzi, Mahyar Firouzi, Mahyar Firouzi, Kris Baetens, Kris Baetens, Catalina Duta, Catalina Duta, Chris Baeken, Chris Baeken, Chris Baeken, Frank Van Overwalle, Frank Van Overwalle, Eva Swinnen, Eva Swinnen, Eva Swinnen, Natacha Deroost, Natacha Deroost

“…Accuracy-based analyses revealed that anodal tDCS reduced the probability of correct responses occurring in random trials versus sequential trials by 1.17%, p = 0.009, whereas sham tDCS had no effect, p = 0.999.ConclusionOur finding of enhanced sequence-specific learning, but not general learning, suggests that the cerebellar network not only plays a role in error correction processes, but also serves a sequence-specific function within the integrated motor learning network that connects the basal ganglia and cerebellum.…”
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Remembering what did not happen: the role of hypnosis in memory recall and false memories formation by Donato Giuseppe Leo, Donato Giuseppe Leo, Davide Bruno, Riccardo Proietti, Riccardo Proietti

“…Memory recall is subject to errors that can lead to the formation of false memories. …”
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Deep learning for automatic brain tumour segmentation on MRI: evaluation of recommended reporting criteria via a reproduction and replication study by Justin Schneiderman, Rolf A Heckemann, Emilia Gryska, Isabella Björkman-Burtscher, Asgeir Store Jakola, Tora Dunås

“…The replication of the first method showed promising results in terms of Dice similarity coefficient (DSC) and sensitivity (Sen) on HGG cases (DSC=0.77, Sen=0.88) and LGG cases (DSC=0.73, Sen=0.83), however, poorer performance was observed for MNG cases (DSC=0.61, Sen=0.71). Preprocessing errors were identified that contributed to low quantitative scores in some cases.Conclusions Established reproducibility criteria do not sufficiently emphasise description of the preprocessing pipeline. …”
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The effect of the realistic teaching model on kinetic perception and learning some skills among second-year middle school students in football by Ahmed Abdullah Abdulkareem Al-Saedi, Abdul Razzaq Jabr Al Majidi, Ismael Abd Zaid Ashour Al-Kareemawi, Jasim Mohammed Rashid, Rafia Saleh Fathi Al-Kubaisi, Mahdi Kadhim Ali, Najah Hasan Jasim

“…In today's rapidly changing world, individuals must be able to adapt to new situations and unexpected challenges. Conclusions: The realistic teaching model contributed to enhancing learners' confidence and ability to control the learning process, and the realistic teaching model provides students with opportunities to continuously evaluate themselves throughout the learning process, helping them identify and correct errors, thus improving their skills and overall progress. …”
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Effectiveness of endodontic retreatment using WaveOne Primary files in reciprocating and rotary motions by Patricia Marton Costa, Renata Maíra de Souza Leal, Guilherme Hiroshi Yamanari, Bruno Cavalini Cavenago, Marco Antônio Húngaro Duarte

“…The timing of retreatment and procedure errors were recorded for all samples. The specimens were scanned before and after the retreatment procedure with micro-computed tomography to calculate the percentage and volume (mm3) of the residual filling material. …”
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Concurrent Validity and Reliability of Two Mobile Phone Applications for Measuring Vertical Jumps in Amateur Handball Players by Amândio Dias, Alexandre Coutan, Bruno Silva, Catarina Eufrásio, Maria Teixeira, Mariana Alberto

“…The research assesses both apps’ accuracy, particularly concerning higher jumps, where errors have been noted, aiming to determine the most reliable tool. …”
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Trade-off Between Semantic Radicals’ Characterhood and Host Phonograms’ Transparency in Semantic Radicals’ Semantic Activation by Мен Цзян, Ци Луо, Ся Ван, Ксі Лі

“…The mean accuracy for the part-of-speech judgment task was 96.01%. The errors and reaction time data exceeding 2 SD (3.7%) from the mean RT were excluded from further analyses Conclusions. …”
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Prediction of outpatient visits for allergic rhinitis using an artificial intelligence LSTM model - a study in Eastern China by Xiaofeng Fan, Liwei Chen, Wei Tang, Lixia Sun, Jie Wang, Shuhan Liu, Sirui Wang, Kaijie Li, Mingwei Wang, Yongran Cheng, Lili Dai

“…Results Based on the data obtained from males (n = 13,943), females (n = 11,482), adults (n = 17,473), and minors (n = 7,952), the normalized mean squared errors of the Long Short-Term Memory model were 0.4674976, 0.3812502, 0.418301, and 0.4322124, respectively. …”
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Medication use in the neonatal intensive care unit in a tertiary hospital in China from 2020 to 2023 by Yi Wang, Linhong Song, Yanhua Wang, Jun Li, Yuanyuan Xie, Lei Yan, Huixia Zhou, Siqi Hu

“…In addition, we demonstrated that the most commonly prescribed off-label drugs were vitamins, water and electrolyte balance nutrition drugs, and blood circulation system drugs. Conclusions Our retrospective study will not only help identify and evaluate interventions to reduce medication errors but also aid healthcare systems and providers in understanding, implementing, and enhancing these interventions to improve the safety and quality of care for newborns. …”
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Predictive modeling of burnout dimensions based on basic socio-economic determinants in health service managers and support personnel in a resource-limited health center by Grey Castro-Tamayo, Mario Hernandez-Tapia, Ivan David Lozada-Martinez, Ivan Portnoy, Jessica Manosalva-Sandoval, Tobías Parodi-Camaño

“…The predictive models demonstrated acceptable performance in identifying socioeconomic factors associated with burnout, with prediction errors ranging from 7.68% to 20.31%.ConclusionsBurnout is common among support personnel and health services managers in resource-limited settings, particularly among those with lower incomes. …”
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Sex-based estimation of biological variation in plasma-free amino acid concentrations among healthy adults by Müjgan Ercan, Emiş Deniz Akbulut, Ayşen Caniklioğlu, Esra Fırat Oğuz, Yakup Dülgeroğlu, Esin Avcı, Şerif Ercan

“…Introduction: Free amino acid (FAA) analysis plays a crucial role in diagnosing and monitoring inborn errors of metabolism, assessing nutritional status, and identifying metabolic imbalances associated with various diseases. …”
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The role of artificial intelligence in vascular care by Nehaar Nimmagadda, BS, Edouard Aboian, MD, Sharon Kiang, MD, Uwe Fischer, MD

“…Machine learning models have improved workflow efficiency, reduced diagnostic errors, and enabled early identification of vascular pathology. …”
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Professional Features of IT Specialists’ Activities as Burnout Risk Factors by Alena F. Dzhumagulova, Natalia E. Vodopyanova, Olga O. Gofman, German S. Nikiforov

“…Based on the analysis of the obtained data, the authors were able to determine: (1) the job duties of representatives of the professions of ‘programmer’, ‘analyst’ and ‘tester’; (2) the most common causes of professional errors in the IT sphere, as well as their consequences as risk factors for burnout; (3) the minimum level of training, educational requirements and criteria for success in activities; (4) the most common cognitive and social work operations of IT professions; (5) requirements for the level of health and working conditions, as well as possible occupational diseases; and (6) data on the imbalance of work and rest, work and personal life. …”
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Comparison of laparoscopic surgical skills acquired on a virtual reality simulator and a box trainer: an analysis for obstetrics-gynecology residents by M. Varras, C. Loukas, N. Nikiteas, V.K. Varra, F.N. Varra, E. Georgiou

“…Performance metrics included time, instrument pathlength, and various task-specific errors. Results: Both groups demonstrated significant performance improvement in all training tasks, for all but one of the metrics (p < 0.05). …”
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