Railway wheel squeal as a result of unsteady longitudinal and spin creepage

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Adverse event registry analysis of an EMS system in a low resource setting: a descriptive study by Geraty, Sian

“…This created a greater need for individual and group training of EMS clinical providers. We recommend further research in order to adequate describe the reason for the increase individual medical error, as well as to find more effective means of detecting adverse events and near misses in this population.…”
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Prediction of isobaric heat capacities of room temperature ionic liquids by Wilson, Tayla Lee

“…In addition to reporting test-set errors, an external data set was carefully compiled, containing ILs with components (either the cation or anion) not present in the training data, and structurally distinct. …”
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Anomaly detection in a mobile data network by Salzwedel, Jason Paul

“…Unsupervised techniques were compared and used to identify and remove anomalies in the training data set. This “cleaned” data set was then used to train an autoencoder in an semi-supervised approach. …”
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Mathematics difficulties experienced by National Certificate (Vocational) Level 2 students in the learning of functions

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Deep learning for supernovae detection by Amar, Gilad

“…Using cutting-edge training techniques several Convolutional Neural networks are trained and hyper-parameters tuned to outperform previous approaches and find that human labelling errors are the primary obstacle to further improvement. …”
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The effects of audio feedback on the L2 writing quality of Egyptian university students by Abouelazm, Omar

“…It also examines ESL student attitudes and perceptions towards audio feedback and audio feedback training. Audio feedback is an innovative error correction technique in which the teacher records comments on students’ writing and saves them as an audio file. …”
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Use of the International Classification of Functioning Disability and Health (ICF) as a theoretical framework to inform interprofessional assessment and management by health care p... by Sagahutu, Jean Baptiste

“…Background: Effective collaboration between health professionals can reduce medical errors and assist in interpretation of health information resulting in improved patient care. …”
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Price Prediction Models of Metals Considering International Crises by Ghali, Haidy

“…Then, the LSTM models are developed for each metal, and the dataset is divided into training, validation, and testing sets and mean square errors, root mean square errors, and absolute percentage errors are used to assess the model’s performance. …”
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Reconstruction of three-dimensional facial geometric features related to fetal alcohol syndrome using adult surrogates by Atuhaire, Felix

“…The average intra-observer error was 0.26 mm and the average inter-observer error was 0.89 mm. …”
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The use of automated integrated management of childhood illness guidelines in primary health care in the Western Cape in South Africa by Rhode, Hilary Wallis Juliana

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Factors linked to poor performance for NC (V) Level 2 mathematics students

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Evaluation of selected language models for the generation of patient assessment summaries from uncorrected transcriptions by De Wet, Lize

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A Descriptive Case Study: Challenges experienced by health care workers (HCW) at a primary health care facility when serving deaf/hearing impaired (HI) patients by Orrie, Shameela

“…The dominant recommendations are that HCWs should receive training in sign language (SL) and/or that SL Interpreters be available at facilities. …”
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Maintenance human factors in the South African electricity transmission industry

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Neural networks in control engineering by Trossbach, W

“…Since it is impractical and often impossible to collect sufficient training data prior to implementing the neural network based control structure, the network models have to be suited to on-line training during operation. …”
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