Knowledge and attitude of myopes or their guardians towards refractive surgery in Suzhou, China: a cross-sectional survey by Yifeng Qian, Liqian Mu

“…Factors influencing knowledge scores included education level (Ref. senior middle school or lower; junior college/college, OR=5.81, 95% CI 2.52 to 9.09, p=0.001; postgraduate or higher, OR=7.83, 95% CI 3.83 to 11.8, p<0.001) and survey timing (after refractive error surgery, OR=5.09, 95% CI 3.02 to 7.16, p<0.001), while attitude scores were influenced by knowledge scores (OR=0.05, 95% CI 0.03 to 0.07, p<0.001), gender (female, OR=1.24, 95% CI −2.8–−1.0, p<0.001), age (21–30 years old, OR=−1.9, 95% CI 2.52 to 9.09, p<0.001; >30 years old, OR=−2.5, 95% CI −3.5–−1.4, p<0.001) and survey timing (after refractive error surgery, OR=0.86, 95% CI 0.24 to 1.47, p=0.006).Conclusions Myopes or their guardians had positive attitudes towards refractive surgery both preoperatively and postoperatively. …”
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Automatic vein measurement by ultrasonography to prevent peripheral intravenous catheter failure for clinical practice using artificial intelligence: development and evaluation stu... by Hiromi Sanada, Toshiaki Takahashi, Gojiro Nakagami, Ryoko Murayama, Mari Abe-Doi, Masaru Matsumoto

“…Correlation of the results between the system and the nurse was calculated from the 178 images detected (r=0.843); no systematic error was identified. The agreement between the sizes of the PIVC recommended by the research nurse and the system was 70.2%; 7% were underestimated and 21.9% were overestimated.Conclusions Our automated AI-based image processing system may aid nurses in assessing peripheral veins using ultrasound images for catheterisation; however, further studies are still warranted.t…”
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A separation algorithm for satellite-based AIS received signals based on SSA and RobustICA by Jiansen ZHAO, Zhihao TAN, Haiyan DUAN, Xia LIU, Shengzheng WANG

“…S-RICA has a bit error rate of 0.97×10−2 to 1.97×10−2 at a SNR of 0 dB to 9 dB, an order of magnitude improvement over RobustICA and FastICA, and an improvement of 4 dB to 6 dB over S-FICA at an SNR of 0 dB to 7 dB. …”
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Personalized Prediction of Total Knee Arthroplasty Mechanics Based on Sparse Input Data—Model Validation Using In Vivo Force Data by Sonja Ehreiser, Malte Asseln, Klaus Radermacher

“…<b>Results:</b> The prediction accuracy was quantified using several error metrics, including the root mean square error (RSME). …”
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Computed Tomography-Based Radiomics Diagnostic Model for Fat-Poor Small Renal Tumor Subtypes by Seokhwan Bang, Heehwan Wang, Hoyoung Bae, Sung-Hoo Hong, Jiook Cha, Moon Hyung Choi

“…Among the models, XGBoost showed the best classification performance, with an average AU-PRC: mean = 0.757, standard error = 0.033 and a renal angiomyolipoma-specific AU-ROC: mean = 0.824, standard error = 0.023. …”
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Predicting the impact of climate change on the re-emergence of malaria cases in China using LSTMSeq2Seq deep learning model: a modelling and prediction analysis study by Eric Kamana, Jijun Zhao, Di Bai

“…Then we compared the predictive performance of models using root mean squared error (RMSE) and mean absolute error evaluation measures.Results The proposed LSTMSeq2Seq model reduced the mean RMSE of the predictions by 19.05% to 33.93%, 18.4% to 33.59%, 17.6% to 26.67% and 13.28% to 21.34%, for P. falciparum, P. vivax, P. malariae, and other plasmodia, respectively, as compared with other candidate models. …”
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Estimation of foveal avascular zone area from a B-scan OCT image using machine learning algorithms. by Taku Toyama, Ichiro Maruko, Han Peng Zhou, Miki Ikeda, Taiji Hasegawa, Tomohiro Iida, Makoto Aihara, Takashi Ueta

“…The models' performance was evaluated using Mean Absolute Error (MAE), Mean Squared Error (MSE), and the Coefficient of Determination (R2). …”
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Benchmark study of three statistical methods for six intact rock failure criteria constrained by different rock strength data by Peng-fei He, Xin Li, Xu-long Yao, Zhi-gang Tao, Yan-ting Du

“…Third, as the complexity of conventional test data increases or when true triaxial test data are used to estimate strength parameters for a three-dimensional failure criterion, it is essential to evaluate the outlier-proneness by analyzing the prediction error. If the kurtosis of the prediction error is less than 3, the least square method is preferred. …”
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Nursing Student Satisfaction Scale: Evaluation of Measurement Properties in Nursing Degree Programs by Rocco Mazzotta, Giampiera Bulfone, Bartolomeo Verduci, Vera Gregoli, Davide Bove, Massimo Maurici, Ercole Vellone, Rosaria Alvaro, Francesco Scerbo, Maddalena De Maria

“…Construct validity was supported. The measurement error was adequate. <b>Conclusions:</b> The NSSS exhibited robust measurement properties, confirming its validity and reliability as an instrument for assessing nursing student satisfaction in the Italian context. …”
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Anatomical Landmark-guided Strategy for Computer-assisted Reconstruction of Infrastructure Maxillary Defects Using Free Fibula Flap by Songying Wu, BDS, Jingya Jane Pu, BDS, MDS, Edmond Ho Nang Pow, BDS, MDS, PhD, Pui Hang Leung, BSc, Xing-Na Yu, BDS, MDS, Yu-Xiong Su, MD, PhD, Wei-Fa Yang, BDS, MDS, PhD

“…In group A, the pooled median landmark error was 2.19 mm (interquartile range, 1.63–2.91 mm) in the VSP compared with the preoperative maxilla; in group B, the error was 4.54 mm (interquartile range, 2.05–6.15 mm). …”
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Novel risk group stratification for metastatic urothelial cancer patients treated with immune checkpoint inhibitors by Julie M. Shabto, Dylan J. Martini, Yuan Liu, Deepak Ravindranathan, Jacqueline Brown, Emilie E. Hitron, Greta A. Russler, Sarah Caulfield, Haydn Kissick, Mehrdad Alemozaffar, Kenneth Ogan, Wayne B. Harris, Viraj A. Master, Omer Kucuk, Bradley C. Carthon, Mehmet A. Bilen

“…Results The Emory Risk Scoring System had C‐statistics of 0.74 (Standard Error = 0.047) in predicting OS and 0.70 (Standard Error = 0.043) in predicting PFS. …”
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Convulsions in childhood: electroencephalographs aspects by Paulo Pinto Pupo, Isnard Reis Filho

“…It would be an error to consider results as they were of a homogeneous group.…”
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Overview of Effects of Motor Learning Strategies in Neurologic and Geriatric Populations: A Systematic Mapping Review by Li-Juan Jie, PhD, Melanie Kleynen, PhD, Guus Rothuizen, MSc, Elmar Kal, PhD, Andreas Rothgangel, PhD, Susy Braun, PhD

“…Methodological shortcomings make it difficult to draw firm conclusions regarding the effectiveness of motor learning strategies to improve functional studies. …”
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Evolving Model for the Complex Traffic and Transportation Network Considering Self-Growth Situation by Wei Zhang, Di Xu

“…Moreover the standard error of the estimated scaling parameter changes according to the self-growth probability. …”
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Numerical Simulation on Heat and Mass Transfer of Plate Evaporative Condenser by Dong Liyan, Wang Baolong, Shi Wenxing, Li Xianting, Li Zhiming, Tan Dong

“…With the increasing cooling water spray density, heat flux gradually increased and then kept constant. These conclusions are instructive for optimization design of plate evaporative condenser.…”
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Tingkat Kemampuan Berfikir Reflektif Siswa Sekolah Dasar Kelas Tinggi by Novy Trisnani

“…Third, look back at the problem solving that has been made in order, including correcting and explaining if there is an error from the answer, and making conclusions correctly…”
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Challenges of Intraoperative Documentation and Its Role in Patient Safety: An Integrative Review by Leila Akbari, Akram Aarabi, Masoud Bahrami

“…Conclusions: Operating rooms require precise patient information and documentation pre-, intra- and post-operatively. …”
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Modeling and Fitting Two-Way Tables Containing Outliers by David L. Farnsworth

“…The two independent variables are categorical and error-free. Neither missing values nor replication is present. …”
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A Rule-Based Predictive Model for Estimating Human Impact Data in Natural Onset Disasters—The Case of a PRED Model by Sara Rye, Emel Aktas

“…<i>Results:</i> Predictive model for Estimating Data (PRED) is developed as a decision-making platform based on the Disaster Severity Analysis (DSA) Technique. <i>Conclusions:</i> comparison with the real data shows that the platform can predict the human impact of a disaster (fatality, injured, homeless) with up to 3% error; thus, it is able to inform the selection of disaster relief partners for various disaster scenarios.…”
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Análisis observacional del ataque a una pierna del central en el voleibol femenino (Observational analysis of the one-leg attack of the central player in female volleyball) by Sergi Forrat-Fuster, Bruno Bazuelo Ruiz

“…The shot to the diagonal obtained similar results in the points achieved as the shot to the line but with a lower percentage of error. Conclusions: the attack after a positive double reception, the attack at the first half, the shot to the diagonal and the shot "fast" were the actions with which better sports performance was obtained and caused a greater rival defensive disorganization. …”
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