The effect of E-commerce on digital inclusive finance: evidence from the E-commerce boom in rural China by Yi-Fan Zhang, Haoxing Zhao

“…Our manuscript can help the Chinese government optimize relevant policies and reveal the importance of e-commerce in rural development.…”
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Research on Deviation Detection of Belt Conveyor Based on Inspection Robot and Deep Learning by Yi Liu, Changyun Miao, Xianguo Li, Guowei Xu

“…Firstly, the inspection robot captures the image and the region of interest (ROI) containing the conveyor belt edge and the exposed idler is extracted by the optimized MobileNet SSD (OM-SSD). Secondly, Hough line transform algorithm is used to detect the conveyor belt edge, and an elliptical arc detection algorithm based on template matching is proposed to detect the idler outer edge. …”
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Compact Quadband Bandstop Filter Based on Concentric Split Ring Resonators with Perturbation for Multifunctional Wireless Systems by Pierre Moukala Mpele

“…The filter is designed, optimized, and analyzed using High-Frequency Structural Simulator (HFSS). …”
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Research on design intervention in spatial planning of traditional rural tourism: based on the perspective of tourists’ willingness to visit again by Huanchen Tang, Xiaodong Liu, Junjie Li, Hanyu Wang

“…Based on the data results, a series of strategies are proposed to optimize village appearance and enrich traditional decorations, aiming to promote deeper interaction between visitors and traditional villages, enhance tourists’ cultural experiences and satisfaction, and thereby effectively increase their intention to revisit tourism-oriented traditional villages. …”
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Mathematical Modeling for Pharmaco-Kinetic and -Dynamic Predictions from Controlled Drug Release NanoSystems: A Comparative Parametric Study by Grigorios P. Panotopoulos, Ziyad S. Haidar

“…We anticipate that this work will help devise optimal pharmacokinetic and dynamic release systems, with measured variable properties, at nanoscale, characterized to target specific diseases and conditions.…”
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Enhancing imputation accuracy for catch-all missing data mechanisms with DFBETAS and leverage by Fares Qeadan, William A. Barbeau

“…The results show that incorporating DFBETAS and Leverage significantly improves the accuracy of imputations, optimizes the balance between its sensitivity and specificity reduces bias, and enhances confidence interval coverage of imputed estimates, especially as the strength of the catch-all mechanism increases. …”
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A New Sixth-Order Finite Difference Compact Reconstruction Unequal-Sized WENO Scheme for Nonlinear Degenerate Parabolic Equations by Liang Li, Yan Zhang, Jun Zhu

“…This new CRUS-WENO scheme only uses the information defined on three unequal-sized spatial stencils, obtains the optimal sixth-order accuracy in smooth regions, and preserves the second-order accuracy near strong discontinuities. …”
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Image Inpainting of Portraits Artwork Design and Implementation by Zhang Hongting

“…The generated images are compared with the original undamaged images through loss calculations to optimize the model. Additionally, a Generative Adversarial Network (GAN), which has shown promising results on other datasets, is used as a baseline for comparison. …”
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Enhancing a Commercial Game Engine to Support Research on Route Realism for Synthetic Human Characters by Gregg T. Hanold, Mikel D. Petty

“…Existing route planning algorithms, including the widely used A* algorithm, are generally intended to achieve optimality in some metric, such as minimum length or minimum time. …”
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A Secure Data Sharing Model Utilizing Attribute-Based Signcryption in Blockchain Technology by Chaoyue Song, Lifeng Chen, Xuguang Wu, Yu Li

“…With the rapid development of the Internet of Things (IoT), the scope of personal data sharing has significantly increased, enhancing convenience in daily life and optimizing resource management. However, this also poses challenges related to data privacy breaches and holdership threats. …”
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Research on Recognition of Quiet Period of Sandstone Acoustic Emission Based on Four Machine Learning Algorithms by Dong Duan, Xiaojing Feng, Ruizhe Zhang, Xiaoyu Chen, Hongzhi Zhang

“…Based on AE time domain data, frequency domain data, and composite data (time-frequency domain data sets), the grid search traversal parameter technique was used to obtain the optimal parameters of four machine learning models. …”
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Analysis of Oil Injection Cooling Characteristics of High Pitch Line Velocity Gear Pairs by Huang Bo, Zhang Hong, Ding Yiqun, Zhang Yuzhe, Hou Xiangying

“…Thus, it is necessary to conduct an analysis of the oil injection cooling characteristics of the gear pair under the high pitch line velocity and explore optimal cooling parameters. Based on the Hertz contact theory and gear meshing characteristics, the average contact stress, relative sliding velocity, and friction coefficient of the tooth surface were solved. …”
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The Influence of Gibberellins and Smoke Water as a Stimulant for Germination and Vegetative Growth of Syzygium aromaticum (L.) Merr. & L. M. Perry by W. Muslihatin, R. P. D. Wahyudi, M. Iqbal, T. B. Saputro and T. Nurhidayati

“…Therefore, it is necessary to optimize the production of Indonesian cloves, one of which is by using growth stimulators such as plant growth regulators (PGR). …”
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Consolidation of Memory After its Reactivation: Involvement of ß Noradrenergic Receptors in the Late Phase by Pascal Roullet, Susan Sara

“…The results showed that injection of timolol induced amnesia only at the 60 min post-reactivation interval, whereas all control groups and groups that were timolol-injected at other post-reactivation intervals displayed optimal retention. The delayed amnesic action of timoloi suggests that ß noradrenergic receptors and the cAMP cascade are implicated in the late phase of reprocessing of a remembered event.…”
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Probiotics in the Prevention and Treatment of Periodontal Diseases: A Systematic Review by Nishath Sayed Abdul, Lara Ghassan Odeh, Asma Awadh Alenazi, Jumana Abdullah Alzahrani, Aldanah Tawfiq Almutib, Cristalle Soman

“…However, further research is warranted to explore the specific probiotic strains, dosages, and treatment durations for optimized outcomes.…”
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Effect of Al2O3, MgO, and CuOx on the dissolution behavior of rhodium in the Na2O-SiO2 slags by Wiraseranee C., Yoshikawa T., Okabe T.H., Morita K.

“…Aiming to optimize rhodium recovery in the high temperature recycling process by minimizing rhodium loss into slags in an oxidizing atmosphere by controlling slag composition, the effects of representative slag components, such as Al2O3, MgO, and CuOx, on the dissolution behavior of rhodium into the Na2O-SiO2 slags was investigated. …”
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Study on Ecological Security Assessment of Dongjiang River Basin in Jiangxi Province Based on PSFR Model by LIU Huili, ZHA Dongping, FENG Minglei, WAN Ying

“…In order to find out the ecological security situation of Dongjiang River Basin in Jiangxi Province,and formulate targeted ecological protection measures for protecting the clear water of the Dongjiang River,this paper determines the weight of indexes through the “Pressure-State-Function-Risk”(PSFR) model and analytic hierarchy process (AHP),establishes and optimizes the ecological security assessment system of Dongjiang River Basin in Jiangxi Province,and combines with “3S” technology and expert support system to evaluate the ecological security of Dongjiang River Basin in Jiangxi Province.The results show that:The ecological security index (ESI) of Dongjiang River Basin is 74.80,and the ecological security state of the Dongjiang River Basin is relatively safe.The main environmental problems in the river basin are the disconnection of the river system,the failure of the water environment quality to reach the standard,the reduction of the aquatic biological resources and diversity,etc.The severe human activities,the high density of hydraulic structures,the potential pollution of mining and orchard development,the degradation of important habitat area,the degradation of wetland area and the weakening of watershed ecological service function are the causes.On the basis of the assessment,the main factors affecting the ecological security of the river basin are put forward in this paper,which provides technical basis for the formulation of the next protection plan,and the index system has a strong reference significance to the fine management of ecological risk control in other basins.…”
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River Segmentation of Remote Sensing Images Based on Composite Attention Network by Zhiyong Fan, Jianmin Hou, Qiang Zang, Yunjie Chen, Fei Yan

“…Next, in this study, we dynamically combine binary cross-entropy loss that is designed for pixel-wise segmentation and the Dice coefficient loss that measures the similarity of two segmentation objects into a weighted one to optimize the training process of the proposed segmentation network. …”
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Differential Evolution Algorithm Combined with Uncertainty Handling Techniques for Stochastic Reentrant Job Shop Scheduling Problem by Rong Hu, Xing Wu, Bin Qian, Jianlin Mao, Huaiping Jin

“…Firstly, to reasonably control the computation cost, the optimal computing budget allocation technique (OCBAT) is applied for allocating limited computation budgets to assure reliable evaluation and identification for excellent solutions or individuals, and the hypothesis test technique (HTT) is added to execute a statistical comparison to reduce some unnecessary repeated evaluation. …”
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Runoff Forecasting Research Coupling Quadratic Factor Screening and Deep Learning by CHENG Liwen, HUANG Shengzhi, LI Pei, LI Ziyan, JIA Songtao, HUANG Qiang

“…The effective screening of factors influencing runoff is a key aspect of runoff forecasting research.However,there are many factors affecting runoff,and these factors have complex interactions.Most of the existing studies use numerically driven models with primary factor screening,and the results show that the input factors are spatially redundant,leading to poor forecasting results.In view of this,the support vector regression (SVR) and the long-short memory network model (LSTM) are compared with Weihe River Basin as an example,and the LSTM model is selected as the optimal forecasting model.Principal component analysis and gray correlation analysis are used for secondary screening of the input terms to form a model coupling principal component analysis,gray correlation analysis,and LSTM.The results show that:①the fitting accuracy of LSTM is higher than that of SVR;②the secondary screening of the input terms improves the forecast accuracy,and the forecast accuracy of the coupled model is better than that of the single model,specifically,the model accuracy evaluation indexes of the coupled model are substantially improved compared with those of the single model;③the Nash efficiency coefficient and deterministic coefficient of the coupled model of gray system correlation analysis are improved by 0.13% and 0.03%,respectively,compared with those of the coupled model of principal component analysis,and the standard deviation ratio of observed values is improved by 42.9%.The study shows that the secondary factor screening by using gray correlation can effectively improve forecast accuracy.…”
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