Study of Thermodynamic Horizontal Structure of the Middle and Upper Atmosphere Based on Atmospheric Detection Lidar Networks by Liting Ren, Yong Yang, Linmei Liu, Xin Lin, Jinzhou Zheng, Wei Wang, Jiaming Liang, Yuan Xia, Jiqin Wang, Kaijie Ji, Zhenwei Chen, Yuqi Zhang, Xuewu Cheng, Faquan Li

“…The assimilated temperature profiles closely match lidar observations, with the RMSE (root mean square error) of residual reductions of 67.35% at Urumqi, 60.69% at Yuzhong, and 34.80% at Yangbajing. …”
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A 32 μm² MOS-Based Remote Sensing Temperature Sensor with 1.29 °C Inaccuracy for Thermal Management by Ruohan Yang, Kwabena Oppong Banahene, Bryce Gadogbe, Randall Geiger, Degang Chen

“…A novel voltage calibration method ensures accurate temperature extraction. The measurement results demonstrate three-sigma errors within ±0.1 °C in the critical range of 75 °C to 95 °C and +1.29/−1.08 °C outside this range, confirming the sensor’s high accuracy and suitability for advanced thermal management applications.…”
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Optimization of network device hardening in a multivendor environment by Ali Bello Imoukhuede, Tarek Rahil Sheltami, Asharf Hasan Mahmoud, Abdulaziz Yagoub Barnawi

“…Unlike existing single-vendor solutions, our method enforces CIS benchmarks across Cisco, Juniper, and Fortinet devices, achieving an 82.18% reduction in hardening time compared to prior automation tools and a 99.99% improvement over manual techniques. …”
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The Impact of Non-constant Inertia and Nonlinear Damping on the Torsional Vibration Characteristics of Internal Combustion Engine Including External Forces by Hameed D. Lafta

“…An accurate and sophisticated nonlinear dynamic model overcomes the obvious simulation errors of linearized models. The present work studies the effect of the non-conservative forces and nonlinear damping on the torsional vibration of single-cylinder internal combustion engines. …”
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Estimation of Footprint-Scale Across-Track Slopes Based on Elevation Frequency Histogram from Single-Track ICESat-2 Photon Data of Strong Beam by Qianyin Zhang, Hui Zhou, Yue Ma, Song Li, Heng Wang

“…Based on the ICESat-2 photon data over the Walker Lake area, the specific purposes are to (1) extract the along-track slope and surface roughness from the signal photon data on the ground; (2) generate an elevation frequency histogram (EFH) and calculate its root mean square (RMS) width; and (3) derive the across-track slope from the RMS width of the EFH and evaluate the retrieval accuracy against the across-track slope from the ICESat-2 product and plane fitting method. The results show that the mean absolute error (MAE) obtained by our method is 11.45°, which is comparable to the ICESat-2 method (11.61°) and the plane fitting method (12.51°). …”
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Processor-in-the-Loop validation of direct power control based on fractional-order modified super-twisting algorithm for doubly-fed induction generators by Mourad Yessef, Habib Benbouhenni, Ahmed Lagrioui, Nicu Bizon, Badre Bossoufi, Saad F. Al-Gahtani, Z. M. S. Elbarbary

“…The DPC-FOMSTC strategy showed notable decreases in ripples, overshoot, and steady-state error (SSE) for active power (Ps) by around 78.85%, 69.05%, and 36.84%, respectively, when compared to the conventional DPC method. …”
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Stochastic Portfolio Planning for Virtual Power Plants Using Stratified Sampling by Dosung Kim, Sung-Kwan Joo

“…Forecast errors are further modeled using a copula-based approach that captures spatial and temporal correlations. …”
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Mind the HAP: an initiative to improve the diagnosis, management and prevention of hospital-acquired pneumonia on the RBH elderly care wards by Charles McLaren, Apurba Chatterjee, Shabnam Iyer, Thanuja Nanayakkara, Patricia Knight, Tanya Demonne, Oscar Amarille, Amanda Adkins, Ruhel Miah

“…The objective of this initiative was to reduce the monthly incidence of HAP on the elderly care wards to <5% by working toward three key aims: (1) to improve the accuracy of diagnosis; (2) to implement prevention measures across all wards; and (3) to standardise treatment approaches. Methods: Retrospective audits revealed diagnostic and coding errors, alongside a dearth of structured preventative measures across the five wards. …”
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Office blood pressure: overcoming the problems of diagnosis and control of arterial hypertension treatment by E. V. Platonova, E. Yu. Fedorova, V. M. Gorbunov

“…Some national guidelines since 2017 considered the most common method for diagnosing and controlling hypertension (HTN) (office blood pressure (OBP) measurement) as screening only. …”
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Distributionally Robust Optimal Scheduling for Integrated Energy System Based on Dynamic Hydrogen Blending Strategy by Yixiao Xiao, Qianhua Xiao, Keyu Wang, Xiaohui Yang, Yan Zhang

“…Regarding tracking performance, intraday dynamic hydrogen blending further reduces upper- and lower-layer tracking errors by 4.25% and 2.37%, respectively. Furthermore, THB demonstrates its advantage in short-term energy regulation, effectively reducing tracking errors propagated from the upper layer MPC to the lower layer, resulting in a 2.43% reduction in the lower-layer model’s tracking errors.…”
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Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction by Xinyue Lv, Youli Li, Lili Zhangzhong, Chaoyang Tong, Yibo Wei, Guangwei Li, Yingru Yang

“…The feature combination of Tmax, Ts, and CC, filtered using Spearman and RandomForest, demonstrated the lowest prediction errors, with reductions in MSE, MAE, and RMSE of over 4%, 14%, and 3%, respectively, compared to other parameter combinations. …”
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Upper-Limb Robotic Rehabilitation: Online Sliding Mode Controller Gain Tuning Using Particle Swarm Optimization by Deira Sosa Méndez, David Bedolla-Martínez, Maarouf Saad, Yassine Kali, Cecilia E. García Cena, Ángel L. Álvarez

“…The proposed method was validated through experimental tests conducted on two healthy subjects, and the outcomes indicated a reduction of over 20% in tracking errors compared to heuristically tuned gains. …”
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Coordinated Multi-Input and Single-Output Photonic Millimeter-Wave Communication in W-Band Using Neural Network-Based Waveform-To-Symbol Converter by Kexin Liu, Boyu Dong, Zhongya Li, Yinjun Liu, Yaxuan Li, Fangbing Wu, Yongzhu Hu, Junwen Zhang

“…The results show that the NNWSC-based receiver achieves significant bit error rate (BER) reductions compared to conventional receivers across all configurations. …”
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Two-Stage Stochastic Scheduling of Virtual Power Plant Based on Transactive Control by Meng Song, Xiaoyuan Xu, Ciwei Gao, Zheng Yan, Mohammad Shahidehpour

“…Simulation results demonstrate the proposed two-stage VPP scheduling method employs TCL flexibilities more comprehensively to mitigate RES output power forecast errors in VPP operations.…”
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Novel sliding mode control of the manipulator based on a nonlinear disturbance observer by Keyou Guo, Haoze Zhang, Caili Wei, Haibing Jiang, Jiangnan Wang

“…Through simulation and comparative experiments conducted using MATLAB/Simulink, the controller model exhibited a 16.4% average reduction in the mean square value of tracking errors compared to existing control strategies, with improvements observed in various performance indicators. …”
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The Effects of the Clinical Simulation of Transfusion Reactions on Nursing Students’ Knowledge Gain: A Pragmatic Clinical Trial by Ana Beatriz Frota Lima Rodrigues, Samia Valéria Ozorio Dutra, Maria Ivaneide Teixeira dos Santos, Lucas Ribeiro Araujo, Annie Leticia de Holanda Ferreira, Arthur Feitosa Jacinto, Brenda Sousa da Conceição, Gleiciane Kélen Lima, Igor Cordeiro Mendes, Elaine Cristina Negri, Maria Neyrian de Fátima Fernandes, Luciana Mara Monti Fonseca, Francisco Mayron Morais Soares

“…In terms of overall scores, the intervention group went from an average of 8.10 to 9.67 (<i>p</i> = 0.001), while the control group went from 8.13 to 8.66 (<i>p</i> = 0.053). The reduction in errors was significant in topics such as hand hygiene (from 56.7% to 23.3%) and the maximum exposure time of the blood component at room temperature (from 66.7% to 20%). …”
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The Contribution to Understanding the Study of Psycholinguistics in Facilitating Balaghah Learning by Sokip Sokip, Ahmad Nurcholis, Kojin Kojin, Muhammad Zaenal Faizin, Abu Hanifa

“…Data analysis techniques included data reduction, data display and conclusion drawing/verification. …”
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Towards Improved Turbomachinery Measurements: A Comprehensive Analysis of Gaussian Process Modeling for a Data-Driven Bayesian Hybrid Measurement Technique by Gonçalo G. Cruz, Xavier Ottavy, Fabrizio Fontaneto

“…The Multi-Fidelity GP, therefore, stands as a reliable data fusion method for the proposed hybrid measurement technique, offering a potential reduction in instrumentation effort and testing times.…”
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Impact of social protection on child malnutrition and mortality across 46 LMICs: a longitudinal study over two decades with insights from the COVID-19 pandemicResearch in context by Elisa Landin Basterra, Ugo Gentilini, Daniella Medeiros Cavalcanti, Andrea Ferreira da Silva, Lucas de Oliveira Ferreira de Sales, Natanael J. Silva, Davide Rasella

“…We used fixed-effects Poisson models with robust standard errors to estimate associations, adjusting for socioeconomic, healthcare, and gender-related variables. …”
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The FRIENDS preventive programme for reducing anxiety symptoms in children and adolescents: A systematic review and meta‐analysis by Trine Filges, Geir Smedslund, Tine Eriksen, Kirsten Birkefoss, Malene Wallach Kildemoes

“…Six studies did not report data that enabled calculation of effect sizes and standard errors. Two studies had partial overlap of data to other studies used, and two were written in Persian. …”
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