Design and experiment of landslide monitoring algorithm based on MEMS sensor by Di WU, Taiming LIANG, Jing WU, Jianjian WU, Yang YI, Wanpeng LOU

“…Methods By considering the kinematic characteristics of slope deformation, a time-domain acceleration integration algorithm is designed to correct random and systematic errors in the acceleration data collected by MEMS sensor. …”
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Estimating area under the curve from graph-derived summary data: a systematic comparison of standard and Monte Carlo approaches by Sean Titensor, Joshua Ebbert, Karen Della Corte, Dennis Della Corte

“…Meta-analysts must frequently extract means and standard errors from figures and estimate outcome measures like the area under the curve (AUC) without access to participant-level data. …”
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Reconstructing the Spectrum of a Polyharmonic Signal under Slow Fluctuations in the Sampling Period by A. A. Monakov

“…The error in estimating the sampling period comprised 5 % of its mean value.Conclusion. …”
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Maintaining Professional Relations with Patients When Unexpected Things Happen: The Case for Service Recovery by David W. Chambers

“…It also happens that patients do not always live up to dentist’s expectations.Methods A large general literature shows that service recovery can vary from the protracted and expensive to well-managed cases where patients and professionals emerge with even more positive relationships than they had before the error occurred.Results Five steps in managing service recovery are presented: (a) have a policy of prevention and preparation, (b) clarify your role, (c) listen, (d) agree on the best available mutual path forward, and (e) learn from the experience.Conclusions Available service recovery strategies range from practice development to service recovery, to mediation, to arbitration, to litigation, and even to loss of license.Practical Implications The ultimate service recovery strategy accepts some errors as inevitable and manages these through continuous quality improvement.…”
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Long short-term memory (LSTM) networks for precision prediction of Schottky barrier photodiode behavior at different illumination levels by Gökalp Tulum, Sajjad Nematzadeh, İlke Taşçıoğlu, Şemsettin Altındal, Fahrettin Yakuphanoğlu

“…LSTM shows on Diode 2 consistently lower errors, achieving a minimum RMSE of 6.22 mA at 100 W (R²=0.993). …”
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Forecasting motion trajectories of elbow and knee joints during infant crawling based on long–short-term memory (LSTM) networks by Jieyi Mo, Qiliang Xiong, Ying Chen, Yuan Liu, Xiaoying Wu, Nong Xiao, Wensheng Hou

“…Evaluation metrics included Mean Absolute Error (MAE), Mean Squared Error (MSE), and Correlation Coefficient (CC) to assess prediction accuracy. …”
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Analysis of hematology quality control using six sigma metrics by Shreya Goel, Amit R. Nisal, Ankita Raj, Ravindra C. Nimbargi

“…In sigma metrics, errors identified are quantified as percentage errors or defects per million (DPM). …”
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Current Status and Predictors of Patient Safety Culture in Hospitals of Qassim Region, Saudi Arabia by Ayed AlReshidi, Majeda Farajat, Tarek Ibrahim, Abdulaziz Alresheedi, Aliaa Elnefiely, Faisal Alforaih

“…Furthermore, approximately half of the variance in PSC perception scores was explained by teamwork within units, organizational learning, hospital management support, teamwork across units, and nonpunitive response to errors. Conclusion: Patient safety culture of any healthcare setting is not a simple paradigm, applying system changes to the healthcare systems remains vital to improve safety. …”
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Frequency of high– risk behaviors in health care of kashan Shahid Beheshti hospital personnel by HR Saberi, R Nabi Meibodi, M Joda Khani

“…Results showed that most high- risk behaviors were related to the lack of washing hands before starting work and the least risky behavior was in appropriate way of pouring blood into the tube, not wearing gloves and not putting tourniquet 5-6 inches above the injection site in blood sampling, dressing and injection, respectively. Conclusion: It seems that one of the causes of risky behaviors in medical practices is lack of awareness among nurses and absence or lack of training programs on infection control and existing standards to control the incidence of medical personnel errors we can reduce or eliminate these errors by adequate management. …”
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Movement Competency Screens Can Be Reliable In Clinical Practice By A Single Rater Using The Composite Score by Kerry J. Mann, Nicholas O'Dwyer, Michaela R. Bruton, Stephen P. Bird, Suzi Edwards

“…Experts detected more movement errors than novices and both rating groups improved their detection of errors with repeated viewings of the same movement…”
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Modeling the distribution and progression of motor ability among children with cerebral palsy: An analysis of three reference centile sets by Rachel Sanderlin, Charlotte Schluger, Joe Wu, Francis Ang Eusebio, Amy L. Roberts, Laura Prosser

“…Prediction errors increased at younger ages and higher motor ability. …”
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Skill-level differences in final shot characteristics in padel: comparative insights from amateurs and professionals by Ana Isabel Fernandez-de-Osso, Adrián Escudero-Tena, Diego Muñoz, Iván Martín-Miguel, Rafael Conde-Ripoll

“…Results: amateur players committed more unforced errors than professionals (CSR=2.9–4.7), while professionals produced more winners (CSR=2.0–4.0), and more forced errors in men’s professional players (CSR=3.2). …”
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Algorithm of Assessing Dynamic Correlation between Time Series Connected by TVP-Regression Model by N. A. Moiseev, G. V. Aivazian

“…Comparison of the present algorithm with DCC GARCH method was carried out on synthetic data with several values of process error dispersion. As a result with all considered values of dispersion of the process error the advanced algorithm showed best figures in terms of mean-square error of assessed and real correlation. …”
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Service quality evaluation of integrated health and social care for older Chinese adults in residential settings based on factor analysis and machine learning by Zhihan Liu, Caini Ouyang, Nian Gu, Jiaheng Zhang, Xiaojiao He, Qiuping Feng, Chunguyu Chang

“…Comparative indices such as Mean Squared Error, Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and predictive performance metrics were employed to assess the models. …”
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How accessible are the websites of health services for people who have had a stroke? by Melita J. Giummarra, Eleanor Brown, Tanya A. Rose, Natasha A. Lannin, Brooke Parsons, Emma Power, On behalf of the Young Stroke Service team

“…Most webpages (n = 150, 81.1%) had at least one WCAG error (Median = 5 errors); the most prevalent being empty links that could not be read by a screen reader (n = 92, 49.7%). …”
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Investigation of ACS image stabilization of on-board optoelectronic guidance and tracking devices by K. A. Burdinov, K. M. Shashkina, Ehsan Shaghaei

“…The determination of tolerated dynamic errors (TDE) of image stabilization was a key issue in the development of on-board optoelectronic devices (OOED). …”
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Pneumatic Compliant End-effector Using Multi-compensation Integrated Nonlinear Active Disturbance Rejection Control by ZHANG Shuzhong, WU Qianxin, DAI Fuquan, WANG Yabing, ZHANG Gong

“…An extended state observer estimates total system disturbance in real time. A nonlinear state error feedback law performs error correction and compensates for the observed disturbance. …”
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Corneal Biomechanics as a Causal Factor in Myopia and Astigmatism: Evidence from Mendelian Randomization by Pinghui Wei, PhD, Guoge Han, PhD, Qi Su, MBBS, Lanbo Jia, MBBS, Chao Xue, PhD, Yan Wang, PhD

“…Purpose: The causal relationship between refractive errors and corneal biomechanical properties remains uncertain. …”
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Microsporia in Young Children: Clinical Cases by Alexey B. Yakovlev, Aleksandra S. Polonskaya, Larisa S. Kruglova

“…Major limitations of drug therapy in infants as well as common therapeutic errors were analyzed.Conclusion. Diagnosis and management of microsporia in infants and young children is a challenging task. …”
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Systematic Risk Analysis and Mitigation Strategies for Near-Miss Events in Interventional Operating Room Nursing by Ma LY, Shan RF, Lu Y, Cong LY, Gu HY

“…The risk factors were ranked as follows: weak coordination ability and lack of responsibility among nurses > operational interruptions > inadequate professional capability > poor communication between medical staff and nurses > equipment malfunction > frequent emergency surgeries and a fast paced working environment.Conclusion: Medication administration errors are frequently encountered, with air embolisms during pressurized fluid infusion representing the most significant risk. …”
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