Study protocol for a randomised trial for atosiban versus placebo in threatened preterm birth: the APOSTEL 8 study by Ben W Mol, Fionnuala McAuliffe, Martijn A Oudijk, Christiana A Naaktgeboren, Jim Thornton, Ewoud Schuit, Job Klumper, Wouter Breebaart, Carolien Roos, Joris van der Post, Judith Bosmans, Anton van Kaam, Jelle Baalman, Marjolein Kok

“…A sample size of 760 participants (380 per group) will detect a reduction in adverse neonatal outcome from 11.95% to 6% (alpha error 0.05, beta error 0.2). …”
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Automating Network Programmability and Backup on Cisco Devices Using Python and Netmiko Library: A Case Study of Komfo Anokye Teaching Hospital LAN by Franco Osei-Wusu, William Asiedu, Kwame Frimpong Asamoah, Siddique Abubakr Muntaka, Donald Yeboah, Elvis Antwi Sarfo

“…The experiments also demonstrated that the proposed automated scheme effectively addressed the challenges posed by these conventional yet error-prone manual processes. This was validated through performance evaluation metrics such as backup completion time, success rate, and resource utilization. …”
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Boosted Bell-state measurements for photonic quantum computation by Nico Hauser, Matthias J. Bayerbach, Simone E. D’Aurelio, Raphael Weber, Matteo Santandrea, Shreya P. Kumar, Ish Dhand, Stefanie Barz

“…We further demonstrate the significance of our boosted BSM for FBQC, showing a threefold increase in robustness to photon loss and a significant reduction of the logical error rates.…”
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Quantitative Method for Ultrasonic Testing of Lead Seal Defects in High Voltage Cable Accessories by Zheng Hai, Cai Qiushen, Zheng Jishi, Zhen Zhiming, Zou Wei, Chen Jianping

“…The findings reveal significant improvements over the traditional −6dB method: a 5% reduction in distance error, a 10% enhancement in defect size accuracy, and an overall accuracy rate exceeding 85%. …”
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DC Link Voltage Control of Enhanced Bidirectional Z Source Inverter with Improved ADＲC by YAN Jing-bin, PIAO Jing-lin, LI Guan-da, ZHOU Chang, LIU Qing-lan

“…In order to eliminate the non-minimum phase characteristics，the transient process is short，no overshoot，independent of the mathematical model of the ADＲC controller，indirectly controlling the DC link voltage by controlling the capacitor voltage; and the nonlinearity commonly used in the ADＲC controller Based on the function fal function，an improved lfal function is proposed to avoid high-frequency chattering and to accelerate the system gain reduction rate under large error conditions. The simulation analysis proves that the improved ADＲC is effective in the DC link voltage control of the enhanced bidirectional Z-source inverter and has stronger robustness…”
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Based on the N2N-SAMP for sparse underwater acoustic channel estimation by Zhen Wang, Zhen Wang, Maofa Wang, Yangzhen Wang, Yangzhen Wang, Zhenjing Zhu, Zhenjing Zhu, Guangtao Shang, Guangtao Shang, Jiabao Zhao, Jiabao Zhao, Ning Hu, Ning Hu

“…Notably, in low SNR environments, the N2N-SAMP algorithm significantly outperforms the traditional SAMP algorithm in terms of Mean Squared Error (MSE) and Bit Error Rate (BER). Specifically, at SNR levels of 0 dB, 10 dB, and 20 dB, the MSE of channel estimation is reduced by 58.95%, 76.08%, and 19.42%, respectively, compared to the SAMP algorithm that selects the optimal threshold based on noise power. …”
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PLL-VO： An Efficient and Robust Visual Odometry Integrating Point-Line Features and Neural Networks by L. Zhao, Y. Yang, D. Ma, X. Lin, W. Wang

“…PLL-VO system are evaluated in multiple datasets under various lighting conditions, demonstrating a 6.3% reduction in absolute trajectory error for pose estimation compared to state-of-the-art (SOTA) algorithms, the average computation time for visual odometry (43 ms) shows a 29.74% decrease compared to the state-of-the-art (SOTA) algorithms.…”
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On the Design of Near-Optimal Generalized Block-Based Spatial Modulation With Low Detection Complexity by Yen-Ming Chen, Wei-Lun Lin, Heng Lee, Tsung-Lin Chen

“…Secondly, a codebook-assisted tree-search detector (CATSD) is introduced, offering a 98% reduction in complexity compared to ML detection while maintaining near-ML error performance. …”
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IMA-FLADRC-Based Electric-Driven High-Speed Maize Precision Seeding Control Strategy and System by Song Wang, Shujuan Yi, Bin Zhao, Yifei Li, Dongming Zhang, Tao Chen, Wensheng Sun

“…Simulation results show that the IMA-FLADRC-based guiding motor achieves no overshoot or static error, with an adjustment time of 1.121s, a maximum disturbance error of 12.016 r/min, and a disturbance recovery time of 0.008s, while the seeding motor exhibits no static error, minimal overshoot of 0.059%, an adjustment time of 0.374s, a maximum disturbance error of 2.563 r/min, and a disturbance recovery time of 0.003s, outperforming four other strategies. …”
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Innovating medical education using a cost effective and scalable VR platform with AI-Driven haptics by Abhishek Kumar, Abdul Khader Jilani Saudagar, Ankit Kumar, Yazeed Masaud Alkhrijah, Linesh Raja

“…The VR system also led to a 45% decrease in error rates and a 48% increase in trainee confidence. …”
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Estimation of heat transfer parameters by using trained POD-RBF and Grey Wolf Optimizer by Minh Ngoc Nguyen, Nha Thanh Nguyen, Thien Tich Truong

“…The set of heat transfer parameters that lead to smallest error rate between computed temperature field and reference one is the optimum output of the inverse problem. …”
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Event-driven bi-fidelity control for efficient and reliable robotic manipulation by Fawaz W. Alsaade, Mohammed S. Al-zahrani, Fuad E. Alsaadi

“…Unlike conventional fixed-schedule approaches, our method employs an event-triggered mechanism that dynamically selects the appropriate controller based on a real-time error metric. This mechanism ensures that the computationally intensive MPC is invoked only when the LSTM approximation deviates beyond acceptable bounds. …”
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Rolling vs. Swing: A Strategy for Enhancing Locomotion Speed and Stability in Legged Robots by Yongjiang Xue, Wei Wang, Mingyu Duan, Nanqing Jiang, Shaoshi Zhang, Xuan Xiao

“…The experimental results show that the rolling motion can ensure stable ground contact and mitigate cyclic collisions, reducing specific resistance by up to 30% compared with conventional swing gaits, achieving a top speed of 0.7 m/s with enhanced stability (root mean square error (RMSE) reduction of 22% over RHex mode). Furthermore, R-Taichi exhibits robust multi-terrain adaptability, successfully traversing gravel, grass, and obstacles up to 150 mm in height.…”
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Posterior Probability-Based Symbol Detection Algorithm for CPM in Underwater Acoustic Channels by Ruigang Han, Ning Jia, Yufei Liu, Jianchun Huang, Suna Qu, Shengming Guo

“…A sea trial further validates the algorithm, showing a 15.83% reduction in bit error rate after three information mergings.…”
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Performance Analysis of Space-to-Ground Downlink for Polarization Shift Keying Optical Communications with a Gaussian-Schell Model Beam by Jiajie Wu, Yuwei Zhang, Qingyan Li, Siyuan Yu, Jianjie Yu

“…Additionally, models for the probability density distribution and scintillation index of the optical intensity under atmospheric turbulence were developed along with a bit error rate model for the optical communication system. …”
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Frequency Stability Analysis Based on Full State Model in Autonomous-Synchronization Voltage Source Interfaced Power System by Zhenyao LI, Deqiang GAN, Moude LUAN, Guoqing HE

“…Then, the parameters of the autonomous-synchronization voltage source model are compared with those of the synchronous machine model, and it is proved that the function of the governor is equivalent to increasing the system damping, which can reduce the steady-state error of the system frequency after being disturbed. …”
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Hybrid Automata-Based Control Framework for Real-Time Optimization in Space-Based Solar Power Transmission by Patil Ankita, Ranjan Mritunjay, Deore Kalyani, Sonje Pranjal, Patil Kiran, Patil Rutuja

“…SBSP systems suffer from some serious challenges, such as beam angle error deviations, power transmission efficiency reduction, atmospheric disturbance, and space debris impact. …”
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Artificial Intelligence-Based Transmission Frequency Prediction in Cable Systems Using Electromagnetic Field Data by Abbas Seif, Hamid Radmanesh, Amir Ahmarinejad, Ahmad Ali Ashrafian

“…To enhance precision, a hybrid neural network—combining transformer, LSTM, and a physics-informed layer grounded in Maxwell’s equations—is proposed, reducing the error to 0.2 MHz (749.8 MHz prediction). The AI approach demonstrates superior computational efficiency while maintaining high accuracy. …”
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Two-Stage Combined Model for Short-Term Electricity Forecasting in Ports by Wentao Song, Xiaohua Cao, Hanrui Jiang, Zejun Li, Ruobin Gao

“…With an increasing emphasis on energy conservation, emission reduction, and power consumption management, port enterprises are focusing on enhancing their electricity load forecasting capabilities. …”
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Task offloading delay minimization in vehicular edge computing based on vehicle trajectory prediction by Feng Zeng, Zheng Zhang, Jinsong Wu

“…Considering the inevitable prediction error, we take some edge servers around the predicted area as candidate execution servers and the data required for task execution are backed up to these candidate servers, thereby reducing the impact of prediction deviations on task offloading and converting the modest increase of resource overheads into delay reduction in task offloading. …”
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