A pilot study to explore utility of electronic informed consent in a low- income setting; the case of a Controlled human infection study in Blantyre, Malawi [version 2; peer review... by Clara Ngoliwa, Joel Gondwe, Chikondi Chakwiya, Anthony E. Chirwa, Pemphero Liwonde, Evaristar Kudowa, Vitumbiko Nkhoma, Linda Chantunga, Modesta Reuben, Edward Mangani, Tiferanji Sochera, Neema Toto, Lumbani Makhaza, Dingase Dula, Stephen B. Gordon, Ben Morton, Tarsizio Chikaonda, Marc Y.R. Henrion, Edna Nsomba

“…E-consenting was user-friendly, had no identifiable documentation errors as compared to 43.1% (n 47/109) error rate with paper-based consenting, and ensured data safety, and unravelled areas for consideration. …”
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Machine learning to identify suitable boundaries for band-pass spectral analysis of dynamic [ $$^{11}$$ 11 C]Ro15-4513 PET scan and voxel-wise parametric map generation by Zeyu Chang, Colm J. McGinnity, Rainer Hinz, Manlin Wang, Joel Dunn, Ruoyang Liu, Mubaraq Yakubu, Paul Marsden, Alexander Hammers

“…However, when errors occur, they can be large, owing to the sparsity of peaks. …”
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The relationship between patient safety culture and attitudes toward incident reporting among registered nurses by Nabel Alsobou, Ahmad Hussien Rayan, Manal Hassan Baqeas, Mohammed Sa’d ALBashtawy, Islam Ali Oweidat, Khalid Al-Mugheed, Sally Mohammed Farghaly Abdelaliem

“…Abstract Background Patient safety is a primary concern in healthcare due to errors and low incident reporting rates. A strong safety culture and positive attitudes towards reporting are crucial for improving patient safety culture (PSC). …”
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Clinical features and cognitive impairments in children with frontal lobe epilepsy comorbid with attention deficit hyperactivity disorder by ZENG Xiaolu, ZHANG Jingwen, ZHANG Huiqiong, GUI Juan, REN Yuan, SUN Yueyu, ZENG Hanshi

“…Compared with the ADHD group， the FLE+ADHD group had lower VCI， PRI， FSIQ scores， and higher scores of WCST responses errors and non-perseverative responses errors （all <i>P &lt; </i>0.05）. …”
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Validity of heart rate measurements in wrist-based monitors across skin tones during exercise. by Stanley Hughwa Hung, Kelsey Serwa, Gillian Rosenthal, Janice J Eng

“…<h4>Conclusion</h4>HR measurement error using a wrist-based device was greater with increasing exercise intensity for people with darker skin tones.…”
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Effect of Implant Angulation on the Rotational Displacement of a 3-Unit Bridge after Digital Impression by Mahnaz Arshad, Amirmohsen Asgari, Mohamad Javad Kharazifard, Narges Ameri

“…Conclusion. In digital impressions of angulated implants in 3-unit bridges by using 3Shape and Sirona scanners, the rotational error decreases as the interimplant angle increases.…”
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Visual Performance after a Unilateral or Bilateral Implantation of Enlarged Depth-of-Focus Intraocular Lens in Patients with Cataract: A Prospective Clinical Trial by Se Hyun Choi, Hyo kyung Lee, Chang Ho Yoon, Mee Kum Kim

“…A questionnaire was used to investigate glare, spectacle dependency, and satisfaction at 12 weeks. The mean numerical error and mean absolute error were compared between intraocular lens formulas to assess the best-fit formula. …”
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Optimized Neural Network Method for Temperature Estimation along Optical Fiber by LI Suya, DONG Yanwei, LI Lin, ZHANG Chi, LI Nan, NING Qi, CHEN Yonghui

“…However, when the training goal exceeds the critical value, the temperature error increases with the training goal.【Conclusion】When ANN is used to estimate optical fiber temperature of distributed optical fiber sensing based on Brillouin scattering, it is recommended to select a single-hidden-layer ANN and the number of hidden layer neurons is set to one. …”
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Geometric Optimization of Indeterminate Truss Structures under Non-Loading Effects by Rana Ismail, Dhiaa Al-Tarafany, Hussam Risan

“…To summarize, several parameters can significantly affect the balance between the lack of fit and external loading such as axial rigidity, members’ configuration, the value, and the sequence of applying the error of construction. In conclusion, the construction error can be used as a prestressing technique to reduce the amount of generated force by external force in critical members if employed properly.…”
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Monthly Water Level Prediction Based on ESMD-VMD-ESN Hybrid Model by LI Ang, ZHANG Kun, SANG Yuting, BI Wan

“…Water level sequence contain complex features of multiple frequency information.To improve the prediction accuracy of the water level sequences,a combined model was developed based on Extreme-point Symmetric Mode Decomposition (ESMD),Variational Mode Decomposition (VMD) and Echo State Network (ESN),namely ESMD-VMD-ESN.And it was applied to forecast water level of the Taipuzha station in the upper reaches of Taipu River.The predictive effect of the “first decomposition-second decomposition-prediction-reconstruction” model was explored by comparing it with a single model ESN and the combination model ESMD-ESN.The results show that ESMD-VMD-ESN has the highest accuracy,followed by ESMD-ESN,and the lowest ESN accuracy.Compared with the ESN,the Willmott's Index of Agreement (WIA) and Pearson Correlation Coefficient (PCC) of ESMD-ESN respectively increased by 51% and 11%,the Mean Absolute Error (MAE) and Root Mean Squard Error (RMSE) of ESMD-ESN respectively decreased by 14% and 45%.ESMD can effectively simplify the water level sequence and reduce the prediction error.Compared with the ESMD-ESN,the WIA and PCC of ESMD-VMD-ESN respectively increased by 5% and 10%,the MAE and RMSE of ESMD-ESN respectively decreased by 52% and 50%.VMD can further simplify the highest frequency component of ESMD and improving the model prediction accuracy.In conclusion,the combined model ESMD-VMD-ESN has well applicability and stability in the monthly water level prediction.…”
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Prediction of Traction Energy Consumption for Urban Rail Transit Trains in Relative Speed Mode by GUO Tuansheng

“…The prediction accuracy ranges from 92.0% to 99.6%, with a maximum relative error of 2.36%, an average relative error of 1.75%, and a root mean square relative error of 1.52%, outperforming other prediction methods by every indicator value. …”
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Sight-Translation Strategies and Quality. Part 2. The Impact of Directionality by Леонід Черноватий, Мартін Дйовчош, Наталя Ковальчук

“…The proportion of omissions in the FL–NL SiT is 1.7 times lower and the number of major errors 7 times lower than in the NL–FL direction, which allows for a higher lexical accuracy of the TT in the FL–NL SiT. …”
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Evaluating the susceptibility to ceftazidime-avibactam in clinical isolates of Klebsiella pneumoniae and Pseudomonas aeruginosa recovered from an apex medical hospital in north Ind... by Nargis Bali, Tufail Ahmed, Biswajyoti Borkakoty, Roseleen Bali, Anjum Ara Mir, Zubair Teli, Qounser Nisar, Tantray Faisal

“…Categorical agreement (CA), very major errors (VME), major errors (ME) and minor errors (mE) between DD and MIC were measured. …”
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Advanced Neuromuscular Training Differentially Changes Performance on Visuomotor Reaction Tests and Single-leg Hop Tests in Patients with ACL Reconstruction by Terese Chmielewski, Michael Obermeier, Adam Meierbachtol, Asher Jenkins, Michael Stuart, Robby Sikka, Marc Tompkins

“…The double-leg reaction test involved touching target dots with either leg for 20 seconds; correct touches and errors were recorded. The single-leg reaction test involved hopping on the test leg to 10 target dots; hop time and errors were recorded. …”
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Impact of a short training on the recognition of excessively deep chest compressions during video-assisted cardiopulmonary resuscitation: a randomized controlled simulation trial by Jonas Paul Schulte, Martin Klasen, Michael Schauwinhold, Jörg Christian Brokmann, Christopher Plata

“…With regard to the remaining errors, no significant differences were observed between the study groups. …”
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Safe to transfuse? An audit on quality and practices in blood transfusion sampling and labelling in the accident and emergency (A&E) department. by John Gyasi Appiah, Lilian Abrafi Yeboah

“…Introduction: Blood transfusion sample labelling errors have the potential to cause harm and negatively affect patient experience, because patients may need to undergo repeated venipuncture, which could lead to delays in treatment.1 The British Committee for Standards in Hematology (BCSH) guidelines state that organisations should have a clear policy for rejecting pre-transfusion blood samples that do not meet the minimum labelling requirements and should adopt a ‘zero-tolerance’ approach to sample labelling.2 This retrospective audit aimed to evaluate the quality of transfusion sample collection and labelling practices, assess the reasons for sample rejection in the accident and emergency (A&E) department of Diana, Princess of Wales Hospital in Grimsby, which has a high patient turnover, and suggest specific measures to reduce the incidence of sample labelling errors. …”
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Sequential or simultaneous-integrated boost in early-stage breast cancer patients: trade-offs between skin toxicity and risk of compromised coverage by Changyou Zhong, Minfeng Huang, Haidong Yu, Jun Yuan, Ruilian Xie, Zhenzhen Lai, Shanzhou Niu, Chunbo Tang

“…Abstract Purpose To determine the dosimetric effects of set-up errors on boost coverage, and compares skin toxicity of sequential and simultaneous boost techniques for left-sided breast cancer. …”
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Exploring the fresh and rheology properties of 3D printed concrete with fiber reinforced composites (3DP-FRC): a novel approach using machine learning techniques by Risul Islam Rasel, Md Minaz Hossain, Md Hasib Zubayer, Chaoqun Zhang

“…Moreover, the model’s precision was assessed using different error metrics, including root mean square error (RMSE), mean square error (MSE), coefficient of variation in root-mean-square error (CVRMSE), and mean absolute error (MAE). …”
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A deep learning model to predict dose distributions for breast cancer radiotherapy by Xiaorong Hou, Weishi Cheng, Jing Shen, Hui Guan, Yimeng Zhang, Lu Bai, Shaobin Wang, Zhikai Liu

“…The performance and generalization ability of this model were evaluated by the voxel mean absolute error (MAE), several clinically relevant dosimetric indexes and 3D gamma passing rates. …”
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Enhancing public health surveillance: SARIMAX model incorporating Baidu search index for HCV prediction in China by Huan Ning, Yingji Lan, Qianqian Huang, Tingyan Luo, Jing Yang, Jie Zhou, Zhuoxin Li, Ping Cui, Hao Liang, Jiegang Huang

“…The performance of these predictive models was evaluated using mean absolute error (MAE), root mean square error (RMSE), and mean absolute percentage error (MAPE). …”
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