Comparison of treatment planning for stereotactic radiosurgery and stereotactic body radiation therapy techniques with 2.5mm and 5mm multileaf collimator (MLC): A pilot study [vers... by Senthil Manikandan, Krishna Sharan, Shirley Lewis, Suresh Sukumar, Umesh V, Srinidhi G Chandraguthi, Shreekripa Rao, Rechal Nisha Dsouza, Sneha Ravichandran

“…Therefore, a 5mm MLC (agility) can also be used for SRS/SBRT treatment planning, with a further reduction in the gradient index. However, the study must be extended further with more samples and multiple comparison parameters. …”
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Uso de checklist para assistência segura à criança hospitalizada [Use of checklist for safe care of hospitalized children] [Utilización de lista de verificación para atención segur... by Aline Verônica de Oliveira Gomes Melo, Roberta Dantas Breia de Noronha, Maria Aparecida de Luca Nascimento

“…Conclusion: the use of checklist in the care of hospitalized children contributes to the identification of failures in patient safety processes; standardization of techniques and processes; reduction of errors related to health care; improvement of teamwork; accurate and consistent communication; adherence to process measures; and, consequently, improvement in the quality of care provided. …”
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Drug-Food Interactions: The Hidden Frontier in Clinical Practice by Muhammad Saleh Faisal

“…These interactions are observed between milk and other dairy products, as well as iron salts, tetracycline derivatives, and antacids containing polyvalent cations, resulting in a significant reduction in their bioavailability of 50–90% or more.4,5 Numerous reports have documented interactions between drugs and grapefruit juice (GFJ). …”
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Advanced classification of optical water types and ensemble learning models for Chl-a inversion in Dongting and Poyang lakes using Sentinel-2 remote sensing: assessing the impact o... by Kai Xiong, Bin Deng, Jiang Liu, Zhixin Guan, Weizhi Lu, Changbo Jiang, Wei Luo, Han Rao, Longbin Yin, Kang Yang

“…Additionally, hierarchical modeling based on OWT-specific ensemble methods significantly reduced errors compared to traditional global models, with decreases of 36 % in Dongting Lake and 42.19 % in Poyang Lake. …”
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Nanosecond Laser Etching of Surface Drag-Reducing Microgrooves: Advances, Challenges, and Future Directions by Xulin Wang, Zhenyuan Jia, Jianwei Ma, Wei Liu

“…The aim is to control the geometric accuracy error of the prepared surface microgrooves within 5% and to enhance the fatigue life of the substrate by more than 20%, breaking through the technical bottleneck of separating “drag reduction design” from “fatigue resistance manufacturing”, and providing theoretical support for the integrated manufacturing of “drag reduction-fatigue resistance” in aircraft skins.…”
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Accurate Wideband RCS Estimation from Limited Field Data Using Infinitesimal Dipole Modeling with Compressive Sensing by Jeong-Wan Lee, Ye Chan Jung, Sung-Jun Yang

“…Furthermore, compared to approaches without compressive sensing, the method shows a 55.1% and a 75.5% reduction in error in averaged RCS for VV-pol and HH-pol, respectively. …”
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3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology by Isaac Y. Tian, Jason Liu, Michael C. Wong, Nisa N. Kelly, Yong E. Liu, Andrea K. Garber, Steven B. Heymsfield, Brian Curless, John A. Shepherd

“…Deep shape features produced 6–8% reduction in prediction error over linear PCA features for males only, and a 4–14% reduction in precision error for both sexes. …”
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Enhanced Next Generation Millimeter-Wave Multicarrier System with Generalized Frequency Division Multiplexing by Hidekazu Shimodaira, Joongheon Kim, Ali S. Sadri

“…This paper studies the performance improvements in terms of PAPR reduction for GFDM. Based on the performance results, the optimal numbers of subcarriers and subsymbols are calculated for PAPR reduction while minimizing the Bit Error Rate (BER) performance degradation. …”
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Optimizing Supply Chain Resilience Using Advanced Analytics and Computational Intelligence Techniques by Jie Xu, Lixing Bo

“…It achieves a 12% reduction in overall SCM costs, improves demand forecasting accuracy with reduced mean absolute error (MAE) and root mean squared error (RMSE), and enhances resource utilization efficiency by up to 20%. …”
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Low-overhead quantum computing with the color code by Felix Thomsen, Markus S. Kesselring, Stephen D. Bartlett, Benjamin J. Brown

“…Even when taking into account the color code's lower error threshold using current decoders, the overhead is reduced by 10% at a physical error rate of 10^{−3} and by 50% at 10^{−4}.…”
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Deep Circuit Compression for Quantum Dynamics via Tensor Networks by Joe Gibbs, Lukasz Cincio

“…For all circuit depths and widths tested, we produce circuits with smaller errors than all equivalent depth Trotter unitaries, corresponding to reductions in error by up to 4 orders of magnitude and circuit depth compressions with a factor of over 6.…”
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Dynamic calibration of low-cost PM2.5 sensors using trust-based consensus mechanisms by Sachit Mahajan, Dirk Helbing

“…Results show mean absolute error (MAE) reductions of up to 68% for poorly performing sensors and 35–38% for reliable ones, outperforming conventional calibration methods. …”
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Data-Driven Prediction of Binder Rheological Performance in RAP/RAS-Containing Asphalt Mixtures by Eslam Deef-Allah, Magdy Abdelrahman

“…The nonlinear models achieved a 69% reduction in the root mean square error (RMSE) for rutting, a 37% reduction in the RMSE for fatigue cracking, and a 21% reduction in the RMSE for thermal cracking. …”
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Multi-feature stock price prediction by LSTM networks based on VMD and TMFG by Zhixin Zhang, Qingyang Liu, Yanrong Hu, Hongjiu Liu

“…(sh600009), the VMD–TMFG–LSTM model achieves a 69.76% reduction in Root Mean Squared Error (RMSE), a 71.41% reduction in Mean Absolute Error (MAE), a 46.28% reduction in runtime, and an improvement of 0.2184 in R-squared (R2), indicating significantly higher prediction accuracy. …”
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EDUCATION, LABOUR PRODUCTIVITY AND INCOME INEQUALITY IN NIGERIA by SHARIMAKIN A., OSENI M.S., ADEGBOYE A.C.

“…The cointegration and error correction methodology is adopted in the empirical analysis. …”
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Simulation of Bimetallic Bush Hot Rolling Bonding Process by Yaqin Tian, Qingxue Huang

“…The simulation error is not more than 8%.…”
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Prediction of antipsychotic drug efficacy for schizophrenia treatment based on neural features of the resting-state functional connectome by Song Liu, Meng Wang, Weiyi Han, Anran Chen, Xuzhen Liu, Kang Liu, Xue Li, Yi Chen, Luwen Zhang, Qing Liu, Xiaoge Guo, Xiujuan Wang, Ning Kang, Yong Han, Yuanbo Li, Xi Su, Luxian Lv, Bing Liu, Wenqiang Li, Yongfeng Yang

“…Baseline clinical status and post-treatment outcome were assessed using the Positive and Negative Symptom Scale (PANSS), and clinical improvement was rated by the total score reduction. Based on acquired imaging data, a resting-state functional connectivity matrix was constructed for each patient, and a connectome-based predictive model was subsequently established and trained to predict individual PANSS total score reduction. …”
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Nonnegative Matrix Factorization Based Adaptive Noise Sensing over Wireless Sensor Networks by Kwang Myung Jeon, Hong Kook Kim, Sung Joo Lee, Yun Keun Lee

“…In addition, the proposed method is applied to an automatic speech recognition (ASR) system, which is a typical speech-based application, and then the average word error rate (WER) of the ASR is compared with that employing either a Wiener filter, or a conventional NMF-based noise reduction method using only a priori noise basis matrix.…”
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Correlated noise can be beneficial to quantum transducers by Yu-Bo Hou, Xiaoan Ai, Ruizhe You, Changchun Zhong

“…This reduction is primarily governed by the phase of the piezomechanical coupling and is also influenced by system parameters such as the coupling ratio and mode cooperativity. …”
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Design and Analysis of Adaptive Fuzzy Super-Twisting Sliding Mode Controller for Uncertain 2-DOF Robotic Manipulator by Hayleyesus Girma Dirara, Feleke Tsegaye Yareshe, Chala Merga Abdissa

“…For link 1, the IAE is reduced to 0.01465 rad, representing a 99.9% reduction compared to SMC (14.24 rad), an 85% reduction compared to ST-SMC (0.0977 rad), and a 78.5% reduction compared to AF-SMC (0.06819 rad). …”
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