Detecting Pronunciation Errors in Spoken English Tests Based on Multifeature Fusion Algorithm by Yinping Wang

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Institutionalized trial and error: a turn to rule-based policy experimentation in China by Yan Liu, Zhenhua Huang

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Minimum Error Integration Method for Quadrilateral Flat Plate Fitting in Steel Construction by Zhuoju Huang, Jiemin Ding

“…Our results demonstrate at most a 75.5% reduction in fitting errors for analytical curved plates with particularly significant improvements in biconvex curvature scenarios. …”
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Error Analysis of the Convex Hull Method for the Solution of the Distribution System Security Region by Jun Xiao, Lixing Wang, Yupeng Zhou

“…For the convex region, the condition for an error-free solution is proven, the error causes are analyzed, and error reduction measures are proposed. …”
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Soft Error-Tolerant and Highly Stable Low-Power SRAM for Satellite Applications by Jong-Yeob Oh, Sung-Hun Jo

“…As CMOS technology has advanced, the transistor integration density of static random-access memory (SRAM) cells has increased. This has led to a reduction in the critical charge of sensitive nodes, making the SRAM cells more susceptible to soft errors. …”
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The role of pharmacists in mitigating medication errors in the perioperative setting: a systematic review by Lina Naseralallah, Somaya Koraysh, May Alasmar, Bodoor Aboujabal

“…Although the studies showed that pharmacist interventions were associated with a reduction in overall medication errors rates, some studies showed inconsistent findings regarding error subtypes. …”
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Barriers and Facilitators of Voluntary Medication Errors Reporting According to the Nursing Staff in India by Ravina Ravi, Madhan Ramesh, Sri Harsha Chalasani, Janet Mathias, Praveen Kulkarni

“…Introduction: Medication errors (MEs) are common among nursing staff due to the fear or lack of knowledge and time in reporting MEs. …”
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Hybrid Cat-Transmon Architecture for Scalable, Hardware-Efficient Quantum Error Correction by Connor T. Hann, Kyungjoo Noh, Harald Putterman, Matthew H. Matheny, Joseph K. Iverson, Michael T. Fang, Christopher Chamberland, Oskar Painter, Fernando G.S.L. Brandão

“…Dissipative cat qubits are a promising physical platform for quantum computing, since their large noise bias can enable more hardware-efficient quantum error correction. In this work we theoretically study the long-term prospects of a hybrid cat-transmon quantum computing architecture where dissipative cat qubits play the role of data qubits, and error syndromes are measured using ancillary transmon qubits. …”
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Reduction of Mutual Coupling in UWB/MIMO Antenna Using Stub Loading Technique by Jabire Adamu Halilu, Abdu Anas, Saminu Sani, Salisu Sani, Sadiq Abubakar Muhammad, Jajere Adamu Mohammed, Ahmed Yusuf Kola

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Direction-of-arrival estimation performance analysis of the rank reduction estimator in the presence of finite samples by Ding WANG, Hui YAO, Ying WU

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Medical Error Prevalence, Nursing Power, and Structural Empowerment: A Serial Mediation Analysis by Wafa’a Ta’an

“…To investigate how structural empowerment and power may contribute to and predict the reduction of medical errors. Background. Medical errors threaten patient well-being, leading to adverse outcomes. …”
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Improvement of the physically-based groundwater model simulations through complementary correction of its errors by Jorge Mauricio Reyes Alcalde

“…The application of CCM to PBM shows a decrease in local biases, better distribution of errors and reductions in its temporal and spatial correlations, with 73% of reduction in global RMSN over an original PBM. …”
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Ergonomic interventions and endodontic treatment outcomes: An analysis of dentist working posture and error rates by Ruslan Ratushnyi, Olha Stakhanska

“…Conclusions: The study conclusively demonstrated that optimal positioning and alignment during dental procedures significantly contribute to a reduction in procedural errors, underscoring the importance of ergonomics in clinical dentistry.…”
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Correlation of Scale Factor Non-Linearity and Vibration Rectification Error in Vibrating Beam Accelerometers by Theo Miani, Lokesh Gurung, Douglas Young, Madan Parajuli, Guillermo Sobreviela-Falces, Colin Baker, Ashwin A. Seshia

“…Vibration Rectification Error (VRE) is a critical parameter for high-performance accelerometers operating in dynamic environments. …”
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Error fields: personalized robotic movement training that augments one’s more likely mistakes by Naveed Reza Aghamohammadi, Moria Fisher Bittmann, Verena Klamroth-Marganska, Robert Riener, Felix C. Huang, James L. Patton

“…We found that training with error fields led to greatest reduction in error. …”
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Elevation Error Prediction of Continuous Beam Cantilever Construction Phase Based on LS-SVM by Xilong Zheng, Yunfeng Hu, Baitao Sun

“…I compare the Least Squares-Support Vector Machines (LS-SVM) prediction value with the measured value, the SVM model predictions, the BP neural network model predictions and the dimensionality reduction model predictions, so that predict elevation errors during cantilever construction phases by established models. …”
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Hardware-Based Calculation of Mean Square Error for Automatic Target Recognition in SAR Images by Lucas Urbanski, Gustavo Farhat Araujo, Renato Machado, Roberto D'Amore

“…., coordinates “matching”), partial calculations of the mean squared error, and the final result of the operations. The architecture was described in VHDL and synthesized for the Bajie Board development system with an FPGA XC7Z010-1CL400C. …”
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Analysis of students' errors in solving quadratic equation word problems based on Watson's criteria by Azin Taufik, Anggar Titis Prayitno, Tika Nuanatul Mufida

“…A total of 29 tenth-grade students from SMA Negeri Cigugur were given test problems, and subsequently, 16 students were selected as research subjects, representing each of Watson's error criteria. Data analysis was conducted through data reduction, data presentation, and conclusion drawing. …”
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Dynamic Error Compensation for Ball Screw Feed Drive Systems Based on Prediction Model by Hongda Liu, Yonghao Guo, Jiaming Liu, Wentie Niu

“…The results show that the prediction model exhibits a maximum prediction deviation of 1.8% for the maximum tracking error and 13% for the average tracking error. The proposed compensation method with friction compensation achieves a maximum reduction rate of 76.7% for the maximum tracking error and 63.7% for the average tracking error.…”
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Compensation of Dynamic Phase Error in the Formation of Orthogonal Components of Input Signals in Microprocessor Protections by F. A. Romaniuk, Yu. V. Rumiantsev, V. Yu. Rumiantsev, I. V. Novash

“…The reduction of the influence of these factors on the behavior of measuring elements is ensured by the use of high-speed shapers to isolate orthogonal components, as well as by compensating for dynamic phase error. …”
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