Assessing the direct and spillover protective effectiveness of Wolbachia-mediated introgression to combat dengueResearch in context by Jo Yi Chow, Somya Bansal, Borame S.L. Dickens, Pei Ma, Ary Hoffmann, Yoon Ling Cheong, Nazni Wasi Ahmad, Jue Tao Lim

“…Robustness checks, including visual inspections, root-mean-square error (RMSE) calculations, in-space and in-time placebo checks, and permutation tests, were used to inspect the model's ability in attributing dengue incidence reductions to the Wolbachia interventions. …”
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Prevalence and predictors of statin therapy in the general working-age population by V. S. Kaveshnikov, V. N. Serebryakova, I. A. Trubacheva

“…We used methods of univariate and multivariate statistics. Error probability < 5% was considered significant.Results. …”
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Coffee and tea consumption and glioma risk: a meta-analysis of cohort studies by Jinyu Pan, Chuan Shao, Hui Tang, Nan Wu

“…The dose–response analysis indicated a near “L”-shaped relationship between tea consumption and glioma risk, with the most notable risk reduction observed in individuals consuming more than 2.5 cups of tea per day. …”
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Carbon Quota Allocation Prediction for Power Grids Using PSO-Optimized Neural Networks by Yixin Xu, Yanli Sun, Yina Teng, Shanglai Liu, Shiyu Ji, Zhen Zou, Yang Yu

“…The power sector can refer to this carbon allowance allocation standard to control carbon emissions in order to meet the industry’s emission reduction standards.…”
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HTSA-LSTM: Leveraging Driving Habits for Enhanced Long-Term Urban Traffic Trajectory Prediction by Yiying Wei, Xiangyu Zeng, Xirui Chen, Hui Zhang, Zhengan Yang, Zhicheng Li

“…In comparison to benchmark models, HTSA-LSTM achieved a 20.72% reduction in the root mean square error (RMSE) and a 24.98% reduction in the negative log likelihood (NLL) for 5 s predictions of long-term trajectories. …”
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RESEARCH INTO SPEECH-TO-TEXT TRANFROMATION MODULE IN THE PROPOSED MODEL OF A SPEAKER’S AUTOMATIC SPEECH ANNOTATION by Olesia Barkovska

“…The following results were obtained: demonstrates the reduction of the word error level descriptor by almost 1.5 times, which influences the quality of word recognition from the audio and may potentially lead to obtaining higher-quality output text data. …”
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A multi-dimensional data-driven ship roll prediction model based on VMD-PCA and IDBO-TCN-BiGRU-Attention by Huifeng Wang, Jianchuan Yin, Jianchuan Yin, Nini Wang, Lijun Wang, Lijun Wang

“…The results show that the proposed prediction model has a root mean square error reduction of about 78.25% and an increase of about 65.63% reliability compared with TCN.DiscussionThe model outperforms traditional methods in terms of accuracy and stability. …”
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Performance Analysis of Precoded MIMO PLC System Based on Two-Sided Jacobi SVD by Hasna Kilani, Mohamed Tlich, Rabah Attia

“…Numerous simplifications are introduced for the reduction of the algorithm complexity. The performance of the CL MIMO PLC is evaluated in terms of bit error rate (BER), constellation error vector magnitude (EVM), and mean square error (MSE) between the constructed SVD matrices and Matlab computed ones.…”
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Three‒Dimensional Numerical Simulation of the Breaching Process of Landslide Dams with Heterogeneous Structures by HU Xianrui, PENG Ming, FU Xiaoli, YANG Ge, ZHU Yan, SHI Zhenming, ZHANG Gongding

“…In addition, the deposition of coarse particles within the breach resulted in a reduction of the slope angle and flow velocity, which suppressed the initiation of further coarse particle entrainment and impeded upstream headward erosion. …”
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Dynamic Tensile Properties of Ultra–High–Performance Concrete Under Impact Splitting Tensile Load Based on Digital Image Correlation Technology by Xudong CHEN, Xuyang WANG, Tao JI, Jixuan LIU, Yingjie NING

“…Unlike ordinary concrete, which exhibits splitting failure after the stress reaches its peak, the rate of stress reduction in UHPC gradually slows down, and a platform segment appears. …”
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Efficient Simulation of the Outage Probability of Multihop Systems by Chaouki Ben Issaid, Mohamed-Slim Alouini, Raul Tempone

“…The proposed estimator is endowed with the bounded relative error property. Simulation results show a significant reduction in terms of number of simulation runs compared to naive Monte Carlo.…”
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Maritime accidents analysis using maritime human factors and analysis model by Eslam A. Youssef, Sameh F. El Sayed, Said Abdelkader

“…<p>The majority of global trade is still carried out by the commercial shipping sector, although it lags behind other transport sectors in terms of safety and accident reduction. Human error is recognized as the most likely cause of maritime accidents.…”
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A hybrid CNN-BILSTM deep learning framework for signal detection of a massive MIMONOMA system by Mohamed A. Abdelhamed, Mennatalla Samy, Bassem E. Elnaghi, Ahmed Magdy

“…Simulation results demonstrate that the CNN-BiLSTM model achieves a 60 % reduction in bit error rate (BER) for the far user (FU) and 55 % for the near user (NU) when high-priority (HP) bits are transmitted. …”
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In quest for Cardinal Vowels by W. JASSEM, M. KRZYŚKO

“…In a 4-D space, the tokens could be correctly assigned 95% of the time using Bayes estimators of discriminant scores. The error increases with the reduction of the number of variables to three or two. …”
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Legal Challenges of Marine Insurance Laws in the Use of Unmanned Ships by Mahsa Bahadoran- Baghbaderani, Masoud Shirani, Reza Soltani

“…These include significant cost reductions in transportation, fewer accidents and collisions attributable to human error, enhanced operational speed, and minimization of idle times. …”
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A balanced sensor scheduling for multitarget localization in a distributed multiple-input multiple-output radar network by Chenggang Wang, Zengfu Wang, Xiong Xu, Yuhang Hao

“…We formulate it as a minimum-variance estimation problem and show that the underlying variance reduction function is submodular. From the properties of submodularity, we present a balanced selection policy which minimizes the worst-case error value using a minimax strategy. …”
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Influence of Land Use Data Resolution on SCS Model in Runoff Simulation by WANG Menghan, HE Xiaohui, GUO Hengliang

“…Theresolution of land use data has a great influence on the CN value. The error ofmodel simulation can be reduced by applying land use data with higher resolution,with error reduction range between 5% and 10%.…”
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Condition Monitoring and Fault Diagnosis for an Antifalling Safety Device by Guangxiang Yang, Hua Liang

“…The experimental result shows a maximum data error reduction of 7.5% is obtained and SNRs (signal-to-noise ratio) of rotation speed and catching torque are improved for 3.9% and 6.4%, respectively.…”
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Adaptive pilot design for OFDM based on deep reinforcement learning by Qiaoshou LIU, Xiong ZHOU, Shuang LIU, Yifeng DENG

“…For orthogonal frequency division multiplexing (OFDM) systems, an adaptive pilot design algorithm based on deep reinforcement learning was proposed.The pilot design problem was formulated as a Markov decision process, where the index of pilot positions was defined as actions.A reward function based on mean squared error (MSE) reduction strategy was formulated, and deep reinforcement learning was employed to update the pilot positions.The pilot was adaptively and dynamically allocated based on channel conditions, thereby utilizing channel characteristics to combat channel fading.The simulation results show that the proposed algorithm has significantly improved channel estimation performance compared with the traditional pilot uniform allocation scheme under three typical multipath channels of 3GPP.…”
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Optimizing the Smart Pump Drug Library Update Process: An Ongoing Effort at an Academic Medical Center by Courtney Olson, Carin Bouchard

“…Smart infusion pumps with dose-error reduction software and customizable drug libraries have increased the safety of intravenous infusion delivery; however, maintaining the most updated drug library is a multistep process for most infusion pumps, which requires effort and engagement by the end user to activate the latest drug library. …”
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