Software Defect Prediction Using Deep Q-Learning Network-Based Feature Extraction by Qinhe Zhang, Jiachen Zhang, Tie Feng, Jialang Xue, Xinxin Zhu, Ningyang Zhu, Zhiheng Li

“…Unfortunately, all the previous research conducted without effective feature reduction suffers from high-dimensional data, leading to unsatisfactory prediction performance measures. …”
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The effects of different post-activation potentiation strategies on the performance of elite female track cyclists in position 1 of team sprint by Tianhe Li, Yapu Liang

“…After DYN activation, the 250 m TT significantly improved (p = 0.018), primarily through a reduction in the 62.5 m time (p = 0.006) and an increase in peak torque (p = 0.018). …”
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Reconstruction of Three-Dimensional Temperature and Salinity in the Equatorial Ocean with Deep-Learning by Xiaoyu Yu, Daling Li Yi, Peng Wang

“…The results demonstrate that the VI-UNet model performs remarkably well in reconstructing temperature and salinity, achieving maximum reductions in root mean square error (RMSE) of up to 40% and 100%, respectively. …”
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Estimation of long-term gridded cloud radiative kernel and radiative effects based on cloud fraction by X. Liu, T. He, Q. Wang, X. Xiao, Y. Ma, Y. Wang, S. Luo, L. Du, Z. Wu, Z. Wu

“…In Arctic-wide validation experiments, the root mean square error (RMSE) was decreased by approximately 2.5 W m<span class="inline-formula">⁻²</span>, and the bias was reduced by 1.23 W m<span class="inline-formula">⁻²</span>, which was an improvement of 8.7 % (reduction in RMSE) against the CERES EBAF (Clouds and the Earth's Radiant Energy System Energy Balanced and Filled). …”
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Workplace Incivility and Job Alienation: Analyzing the Mediating Role of Social Capital and the Moderating Role of Psychological Capital by Fariborz Fathi Chegeni, Mostafa OmidNezhad

“…Based on the population size, a sampling error of 5%, and a confidence level of 95%, the required sample size was calculated to be 300 individuals. …”
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Optimization, Design, and Implementation of Biodiversity-Focused Fisheries Survey Stations: A Case Study of the Coastal Waters of Maoming by Yuexiu DENG, Yongheng HUANG, Jianyu DONG, Ning CHEN, Jing ZHANG, Xuefeng WANG

“…According to relative error analysis, when stratified by environmental factors and water depth, the mean relative errors for H′, D, and J′ are 2.38, 2.02, 2.85, and 0.43, 3.14, and 1.74, respectively, with stratification by water depth resulting in smaller mean relative errors for all indices except J′.Through stratified sampling and appropriate sample allocation, reducing the number of required sampling stations while maintaining data accuracy, thus minimizing adverse impacts on marine ecosystems, is possible. …”
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<i>PI-D^Æ</i>: An Adaptive PID Controller Utilizing a New Adaptive Exponent (Æ) Algorithm to Solve Derivative Term Issues by Juan M. Barrera-Fernández, Juan Pablo Manzo Hernández, Kevin Miramontes Escobedo, Alberto Vázquez-Cervantes, Julio-César Solano-Vargas

“…Simulation results on two systems demonstrate that <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>P</mi><mi>I</mi></mrow></semantics></math></inline-formula>-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi>D</mi></mrow><mrow><mi>Æ</mi></mrow></msup></mrow></semantics></math></inline-formula> achieves a 90% faster response time, a 35% reduction in peak time, and a 100% improvement in settling time compared with conventional PID controllers, all while maintaining a near-zero steady-state error even under external disturbances. …”
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Research on the Multi-Objective Optimal Design of Adjusting Mechanisms Considering Force Transmission Performance by Qi Yang, Mingxin Shan, Yangli Tian, Boyang Guan, Jingyu Zhai, Wei Sun

“…Through case studies, significant reductions in motion precision errors and the peak stagnation force and maximum differences in stagnation force were achieved, validating the feasibility of this optimization design approach.…”
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Impact of All-Sky Assimilation of Multichannel Observations from Fengyun-3F MWHS-II on Typhoon Forecasting by Tianheng Wang, Wei Sun, Fan Ping

“…A series of assimilation experiments were conducted to evaluate their impacts on the forecast of Typhoon Yagi (2024), demonstrating that all-sky assimilation leads to reductions in track error (23.14%) and improvements in precipitation forecasts (Equitable Threat Score increase of 16.92%) compared to clear-sky assimilation. …”
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Time-domain electromagnetic inversion and application for VTI media based on convolutional neural networks by Pan Aohuai, Pan Aohuai, Yan Liangjun, Yan Liangjun, Zhou Lei, Zhou Lei

“…Tests on noisy data demonstrate the model’s noise resistance, with average relative errors remaining within an acceptable range when Gaussian noise below 5% is added. …”
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A systematic review with meta-analysis on the efficacy of 0.01% atropine eyedrops in preventing myopia progression in worldwide children’s populations by Pierluigi Navarra, Luca Buzzonetti, Valentina Amico, Melina Cro, Bruno Federico

“…Atropine was significantly more effective than placebo, with an average reduction of 0.16/year (95% CI: 0.11–0.22) and −0.07/year (95% CI: −0.09 to −0.05) in spherical equivalent refractive errors and axial length, respectively. …”
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Penaeus vannamei aquaculture water quality prediction based on the improved back propagation neural network by DING Jinting, ZANG Zelin, HUANG Min

“…The correlation coefficients for the temperature, pH value and the oxidation-reduction potential during the training and testing processes were better than 0.975. …”
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A two stage differential evolution algorithm for parameter estimation of proton exchange membrane fuel cell by Mohammad Aljaidi, Sunilkumar P. Agrawal, Pradeep Jangir, Sundaram B. Pandya, Anil Parmar, Arpita, Ali Fayez Alkoradees, Bhargavi Indrajit Trivedi, Mohammad Khishe

“…TDE resulted in a 41% reduction in SSE (minimum SSE of 0.0255 compared to 0.0432), a 92% improvement in maximum SSE, and over 99.97% reduction in standard deviation compared to the HARD-DE algorithm. …”
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The role of artificial intelligence in breast cancer screening as a supportive tool for radiologists by Agata Król, Katarzyna Kwaterska, Karol Kutyłowski, Paweł Łuckiewicz

“…Some improvements, especially in cancer detection rate have been noticed with significant workload reduction. Difficulties, possible errors and people’s opinion were also highlighted. …”
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VR & AR TECHNOLOGIES: OPPORTUNITIES AND APPLICATION OBSTACLES by A. V. Ivanova

“…The results of the survey show the key obstacles for the mass distribution of AR and VR technologies: high implementation and operational costs of AR/VR solutions; lack of high-quality content and imperfect devices, implicit effectiveness of their use.Based on the empirical study, a rather extensive list of benefits from using virtual and augmented reality technologies has been drawn up: faster and cheaper learning, training and guiding processes, increase in their efficiency, the reduction of the costs of elements and supplies needed, training support personnel; reducing potential risks to life and health of employees and other people while special training (medical operations and invasive procedures, evacuation, security, rescue in various emergencies) and the related optimization of the compensations; reducing the number of errors and accelerating the processes of assembling, repairing and operating special equipment, searching for information, necessary details, product location in the warehouse; significant reduction of accidents rate, as well as the exploration costs, due to the early identification of malfunctions; accelerating the pace of the designing and prototyping objects, significantly reducing the cost and duration of physical modeling process; improving customer experience, product and trading platforms design, that leads to corresponding increase in volume of sales; improving (simplifying) of communication and increasing its effectiveness.…”
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Predicting Urban Vitality at Regional Scales: A Deep Learning Approach to Modelling Population Density and Pedestrian Flows by Feifeng Jiang, Jun Ma

“…The model outperforms existing architectures, achieving reductions of 34.03% and 38.66% in mean squared error for population density and pedestrian flow predictions, respectively. …”
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THE ROLE OF PUBLIC AGRICULTURAL SPENDING AS A PANACEA FOR AGRICULTURAL SUBSECTOR PRODUCTION: EMPIRICAL EVIDENCE FROM CAMEROON by Udeme Henrietta UKPE, Raoul Fani DJOMO CHOUMBOU, Rayner TABETANDO, Emmanuel Nkwi GAMA

“…The data were taken from World Bank development database and processed using growth model, and error correction model. Despite the agricultural sector's significant contributions to the country's economy throughout the years, the country has made little headway in reducing it. …”
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Adapting Cobot Behavior to Human Task Ordering Variability for Assembly Tasks by Belal HMEDAN, Dorilys Kilgus, Humbert Fiorino, Aurelie Landry, Damien Pellier

“…We show experimentally with 56 participants on a simulated industrial assembly task that the cobot increases the task performance (reduction in the number of errors and gestures) without increasing the participants' cognitive load.…”
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A Multi-Vector Modulated Model Predictive Control Based on Coordinated Control Strategy of a Photovoltaic-Storage Three-Port DC–DC Converter by Qihui Feng, Meng Zhang, Yutao Xu, Chao Zhang, Dunhui Chen, Xufeng Yuan

“…The proposed modulated MPC method utilizes three basic vectors to calculate the optimal switching sequence for minimizing the error vector. It can significantly minimize voltage ripple while maintaining the nonlinear and dynamic performance characteristics of a traditional MPC. …”
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Nonvariational ADAPT algorithm for quantum simulations by Ho Lun Tang, Yanzhu Chen, Prakriti Biswas, Alicia B. Magann, Christian Arenz, Sophia E. Economou

“…Since it does not rely on a classical optimization subroutine, it may provide robustness against circuit parameter errors due to imperfect control or gate synthesis.…”
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