Low-Power and High-Performance Double-Node-Upset-Tolerant Latch Using Input-Splitting C-Element by Qi Chen, Binyu He, Renjie Kong, Pengjia Qi, Yanyun Dai

“…As essential components of digital circuits within sensor systems, nanoscale CMOS latches are particularly susceptible to single-node upsets (SNUs) and double-node upsets (DNUs), which can lead to data errors. In this paper, a highly robust Double-Node-Upset-Tolerant Latch-Based on Input Splitting C-Elements (DNUISC) is proposed. …”
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Bending-torsion coupling vibrations of dual-disk rotor system with imbalance and oil film bearings by Guofang Nan, Haoyu Wang, Xuewen Qiu, Ying Wang, Yihui Zhou

“…The work has important value for the vibration reduction and formulation of installation criteria for dual-disk rotor system.…”
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ESTANDARIZACIÓN DE PROCESOS ADMINISTRATIVOS DEL ÁREA DE GESTIÓN HUMANA, SEGURIDAD Y SALUD EN EL TRABAJO EN UNA ENTIDAD ONCOLÓGICA by Ever Angel Fuentes, Fabio Andres Cordero Useche, Ingrid Daniela Gómez Arevalo

“…For this research, engineering tools were applied such asthe design and application of unstructured interviews, Vester matrix to prioritize problems, use of a master list to view alldocuments present in the area, use of structured times, adjustment of management indicators and Leopold matrix tomeasure the impact of the project; Among the benefits generated, the reduction in duplication of activities, the reductionof errors and the contribution to the adherence of the collaborators to the entity are highlighted.…”
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Identification of Distribution Network Topology and Line Parameter Based on Smart Meter Measurements by Chong Wang, Zheng Lou, Ming Li, Chaoyang Zhu, Dongsheng Jing

“…Finally, a simulation analysis based on IEEE 33- and 118-bus distribution systems demonstrated that the proposed method can effectively realize the estimation of topology and line parameters, and is robust with regard to both measurement errors and grid structures.…”
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Structural Reforms in Agrarian Sector of Economy, Stages and Results: Problems of Modernization and Import Substitution by A. A. Shutkov

“…Conclusions and Relevance: structural reforms in the agricultural sector as a result of errors did not contribute to the sustainable growth of its efficiency, which lead to a sharp decline in production, the country has lost food independence. …”
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Increasing R&D effectiveness: planning as a tool for reducing technological risk in engine development by A. D. Kondryakov, A. V. Sartori, E. Ju. Marchukov, A. V. Solovieva, S. V. Chuklinov

“…This approach simplifies early identification of potential issues and reduces the risk of errors during the design phase. A new lean planning method is introduced, including assessing the readiness of the designed product at the design stage based on a roadmap. …”
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Physics-Informed Neural Networks for Enhanced State Estimation in Unbalanced Distribution Power Systems by Petros Iliadis, Stefanos Petridis, Angelos Skembris, Dimitrios Rakopoulos, Elias Kosmatopoulos

“…Notably, the PINN achieves up to a 97% reduction in current estimation errors while maintaining high voltage prediction accuracy. …”
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An appraisal of the value of simulated weather data for quantifying coastal flood hazard in the Netherlands by C. de Valk, H. van den Brink

“…However, systematic errors in the meteorological model output can easily outweigh the gain in precision. …”
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Distributed sliding mode control approach with adaptive spacing policy for vehicle platoons in communication interruption scenario by Jianqiang Wang, Ting Tong, Jianzhong Cao, Shiwei Li

“…Additionally, the DESMC controller utilizes an exponential approaching law, resulting in a 1.16% reduction in velocity RMSE and a 21.71% decrease in acceleration oscillations compared to conventional methods. …”
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On the effect of flexible adjustment of the p value significance threshold on the reproducibility of randomized clinical trials. by Farrokh Habibzadeh

“…Recently, a flexible p significance threshold that minimizes the weighted sum of errors in statistical inference tests of hypothesis was proposed.…”
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Facility-Based Delivery during the Ebola Virus Disease Epidemic in Rural Liberia: Analysis from a Cross-Sectional, Population-Based Household Survey. by John Ly, Vidiya Sathananthan, Thomas Griffiths, Zahir Kanjee, Avi Kenny, Nicholas Gordon, Gaurab Basu, Dale Battistoli, Lorenzo Dorr, Breeanna Lorenzen, Dana R Thomson, Ami Waters, Uriah G Moore, Ruth Roberts, Wilmot L Smith, Mark J Siedner, John D Kraemer

“…Limitations include the possibility of FBD secular trends coincident with the EVD period, recall errors, and social desirability bias.<h4>Conclusions</h4>We detected a 30% decreased odds of FBD after the start of EVD in a rural Liberian county with relatively few cases. …”
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Energy Consumption Prediction for Drilling Pumps Based on a Long Short-Term Memory Attention Method by Chengcheng Wang, Zhi Yan, Qifeng Li, Zhaopeng Zhu, Chengkai Zhang

“…In the context of carbon neutrality and emission reduction goals, energy consumption optimization in the oil and gas industry is crucial for reducing carbon emissions and improving energy efficiency. …”
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From data to decision: Alleviating poverty and promoting development through measuring the unmeasurable economic numbers by Emmanuel A. Onsay, Jomar F. Rabajante

“…This poses challenges for policymakers in implementing poverty-reduction policies. Indigenous communities are among the most disadvantaged, vulnerable, and neglected populations in society, facing complex and diverse socioeconomic situations. …”
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Model Predictive Control-Based Energy Management System for Cooperative Optimization of Grid-Connected Microgrids by Sungmin Lim, Jaekyu Lee, Sangyub Lee

“…Second, its robustness against prediction errors was tested by comparing scenarios with and without disturbance prediction. …”
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Estimating behavioural relaxation induced by COVID-19 vaccines in the first months of their rollout. by Yuhan Li, Nicolò Gozzi, Nicola Perra

“…However, the improvements are limited to a [Formula: see text] reduction in weighted mean absolute percentage errors and these gains are generally offset by models' increased complexity. …”
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Towards developing an operational Indian ocean dipole warning system for Southeast Asia by Shipra Jain, Thea Turkington, Wee Leng Tan, Chen Schwartz, Adam A. Scaife, Theodore G. Shepherd

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Improved Synthesis of Global Irradiance with One-Minute Resolution for PV System Simulations by Martin Hofmann, Stefan Riechelmann, Cristian Crisosto, Riyad Mubarak, Gunther Seckmeyer

“…A comparison based on measurements performed in Lindenberg, Germany, and Carpentras, France, shows a reduction of the frequency distribution root mean square errors of more than 60% compared to the two existing synthesizing algorithms.…”
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Dynamic weighing method for coal and gangue in coal-gangue sorting robots by CAO Xiangang, LIU Yizhe, WU Xudong, WANG Peng, ZHANG Ye

“…With the addition of the IQR algorithm, the weighing error of the dynamic weighing model was further reduced to 4.69%, representing a 61.74% reduction compared to the case without triaxial acceleration compensation and the IQR algorithm. …”
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Integrating Sentinel-1 SAR and Machine Learning Models for Optimal Soil Moisture Sensor Placement at Catchment Scale by Yi Xie, Guotao Cui, Kaifeng Zheng, Guoping Tang

“…Results show that a network of nine optimally placed sensors minimized prediction errors (RMSE: 7.20%), outperforming both sparser and denser configurations. …”
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Real-Time Gas Path Fault Diagnosis for Aeroengines Based on Enhanced State-Space Modeling and State Tracking by Siyan Cao, Hongfu Zuo, Xincan Zhao, Chunyi Xia

“…The experimental results demonstrate a 0.714–2.953% RMSE in fault diagnosis performance, a 3.619% accuracy enhancement over traditional sliding mode observer algorithms, and 2.11 s reduction in settling time, eliminating noise accumulation. …”
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