The relationship between patient safety culture and attitudes toward incident reporting among registered nurses by Nabel Alsobou, Ahmad Hussien Rayan, Manal Hassan Baqeas, Mohammed Sa’d ALBashtawy, Islam Ali Oweidat, Khalid Al-Mugheed, Sally Mohammed Farghaly Abdelaliem

“…Abstract Background Patient safety is a primary concern in healthcare due to errors and low incident reporting rates. A strong safety culture and positive attitudes towards reporting are crucial for improving patient safety culture (PSC). …”
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A Comparison of the Hot Deformation Behavior and Constitutive Model of the GH4079 Alloy by Weifeng Ying, Jia Hou, Shengnan Jiang, Jianan Wang

“…This article established the strain compensation Arrhenius constitutive equation, the improved Johnson–Cook constitutive equation, and the strain compensation Arrhenius constitutive model based on phase transition temperature segmentation and calculated the correlation coefficient (R) and local relative error (AARE) to verify the accuracy of the model, respectively. …”
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IMPROVEMENT ALGORITHM OF TIME-VARYING MESHING STIFFNESS OF HELICAL GEAR AND ANALYSIS OF INFLUENCING FACTORS by WU LuJi, YANG ShiHao, FENG Wei, YANG LinJie

“…An improved calculation method for the time-varying mesh stiffness of helical gear was proposed based on the potential energy method and the slice integration principle, taking into account the transition curve equation of tooth root. This method considered the parameter equation of the transition curve of the real tooth root, corrected the integral interval of the involute tooth profile, and compared with the finite element method to verify the validity of the algorithm and reduce the calculation error of the time-varying mesh stiffness. …”
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A criterion for selecting the appropriate one from the trained models for model‐based offline policy evaluation by Chongchong Li, Yue Wang, Zhi‐Ming Ma, Yuting Liu

“…Theoretical results show that this difference is related to the trajectories generated by the given policy on the learnt model and the prediction error of the transition and reward functions at these generated data points. …”
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Quantum resonant dimensionality reduction by Fan Yang, Furong Wang, Xusheng Xu, Pan Gao, Tao Xin, ShiJie Wei, Guilu Long

“…QRDR operates with polylogarithmic time complexity and reduces the error dependency from the order of 1/ε^{3} to the order of 1/ε, compared to existing algorithms. …”
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The Influential Factors and Prediction of Kuroshio Extension Front on Acoustic Propagation-Tracked by Weishuai XU, Lei ZHANG, Hua WANG

“…The proposed method demonstrated efficacy in forecasting first convergence zone distances, predicting distances with less than 3 km error in >90% of cases and less than 1 km error in 68.61% of cases. …”
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SIZE EFFECT ON THE ULTIMATE DRYING SHRINKAGE OF CONCRETE - EXPERIMENTAL EVIDENCE AND ENGINEERING PRACTICE by Lenka Dohnalová, Petr Havlásek

“…Drying shrinkage of concrete measured on standard laboratory specimens is very time demanding, furthermore, the extrapolation based on the short-term measurements is an ill-posed problem and can lead to large errors. Additionally, the final magnitude of shrinkage is size-dependent which makes the transition from the laboratory data to real structure even more challenging. …”
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The Contribution of Green, Blue, and Energy Sources to Economic Development in Central Asia by Massimiliano Caporin, Bekhzod Kuziboev, Ergash Ibadullaev, Elbek Khodjaniyazov, Peter Marty, Olimjon Saidmamatov

“…In applying the Panel Vector Error Correction Model, evidence was found supporting the long-running association between variables. …”
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Informativeness of the Preoperative Examinations in Patients with Small Focal Lesions of the Thyroid Gland by Kebkalo А., Reyti A.

“…To find out the informativeness of preoperative examinations and causes of diagnostic errors in patients with thyroid nodes ≤ 1.0 cm. Materials and methods. …”
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BRAZIL: TRAPPED IN THE MIDDLE LEVEL OF DEVELOPMENT by LEONID MAZKOVICH Grigoriev, VIKTORIJA ALEKSANDROVNA Pavlyushina

“…There are three options: a natural for a market economy decline in growth rates; errors of economic policy, or a case when thesesame factors are manifestations of «middle-level development trap». …”
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Biomechanics aspects of technique of high jump by V.M. Adashevskiy, S.S. Iermakov, A.A. Marchenko

“…The basic technical run-time errors of sportsman are selected exercises. To biomechanics descriptions, to the step-up effectiveness of high jumps belong: speed of flight of centre-of-mass sportsman (4.2-5.8 meters in a second), corner of flight of centre-of-mass body (50-58 degrees), height of flight of centre-of-mass body (0.85-1.15 meter). …”
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Advanced neural network modeling with Levenberg–Marquardt algorithm for optimizing tri-hybrid nanofluid dynamics in solar HVAC systems by A. Aziz, S.A.H. Shah, H.M.S. Bahaidarah, T. Zamir, T. Aziz

“…The model’s performance is evaluated using state transition (ST) index, error histogram (EH), mean squared error, and regression (R) analysis, demonstrating excellent agreement between predicted and reference solutions. …”
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A deterministic and probabilistic framework based on corrected wind speed to improve Short-Term wind power forecasting accuracy by Nuttapat Jittratorn, Chao-Ming Huang, Hong-Tzer Yang

“…Each component contributes as follows: the wind speed correction reduces input error, improving input accuracy; the bidirectional long short-term memory enhances time-series learning to better capture temporal dependencies; the Markov chain integration improves deterministic forecasts by modeling transition probabilities; and the jackknife resampling quantifies prediction uncertainty to improve probabilistic forecast reliability. …”
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Data-Driven Dynamic Optimization for Hosting Capacity Forecasting in Low-Voltage Grids by Md Tariqul Islam, M. J. Hossain, Md Ahasan Habib

“…Performance evaluation on the IEEE-123 test network and a real Australian distribution network demonstrates superior HC forecasting accuracy, with an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> score of 0.97 and 0.98, Mean Absolute Error (MAE) of 0.21 and 0.16, and Root Mean Square Error (RMSE) of 0.38 and 0.31, respectively. …”
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Modelling the future of cleaner energy: Explainable artificial intelligence model for green hydrogen production rate estimation by Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh

“…The results from the model development show that the model demonstrates reasonable precision, with a mean square error of 0.0588, root mean square error of 0.24, mean absolute error of 0.1057 and a coefficient of determination of 0.95. …”
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Stochastic P-Bifurcation of a Bistable Viscoelastic Beam with Fractional Constitutive Relation under Gaussian White Noise by Yajie Li, Zhiqiang Wu, Guoqi Zhang, Feng Wang

“…First, using the principle for minimum mean square error, we show that the fractional derivative term is equivalent to a linear combination of the damping force and restoring force, so that the original system can be simplified to an equivalent system. …”
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Experimental validation of flow regulation in an innovative adsorption chiller with epcm thermal energy storage by Onyekwere Ojike, Tagne Takote Brice Clausel, Cosmas Anyanwu, Mkpamdi Eke, Fidelis Abam

“…This was attributed to the low thermal conductivity of paraffin wax, limiting the phase change transition during discharging phase. A comparative analysis between simulated and experimental results revealed an average absolute error of 17 % and a relative error of 27 %, highlighting the need for further refinement in simulation parameters to accurately replicate experimental conditions. …”
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Development and laboratory evaluation of a novel IoT-based electric-driven metering system for high precision garlic planter. by Abdallah Elshawadfy Elwakeel, Ahmed Elbeltagi, Ahmed Z Dewidar, Ali Salem, Mohamed Anwer Abdeen

“…Furthermore, the results indicated a progressive increase in the QR and MQ standard errors as the EDMS's operating velocity increased. …”
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Engineering qubit dynamics in open systems with photonic synthetic lattices by Francesco Di Colandrea, Tareq Jaouni, John Grace, Dilip Paneru, Mirko Arienzo, Alessio D'Errico, Ebrahim Karimi

“…We experimentally validate this method by simulating common noise processes, such as phase errors and depolarization. Besides providing a practical solution for quantum state purification, this work demonstrates a versatile approach for the simulation of open qubit dynamics, with potential implications for quantum error correction and environment-induced quantum phase transitions.…”
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Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

“…On this basis, a comprehensive index combining sample entropy and VMD decomposition to reconstruct the errors of each order component is used as a fitness function. …”
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