Health Evaluation of Fenghe River Based on AHP-Fuzzy Mathematical Model and Item-by-Item Evaluation Method by ZHANG Zeyang, LIU Qiang, WANG Gang, XU Ziwei

“…This paper takes Fenghe River in Langfang City as the research object to conduct river health evaluation,which is expected to provide a direction for the future health management of Fenghe River and achieve the goal of healthy development of the water ecology of local rivers.On the basis of the relatively perfect evaluation standard,the scientific and reasonable health evaluation of Fenghe River is carried out by the item-by-item evaluation method and the AHP-fuzzy mathematical model,which is suitable for the local actual situation.An evaluation system is constructed,which consists of four criterion layers covering “basin”,“water”,“biology”,and social service functions and 12 subordinate index layers.The evaluation results show that Fenghe River is healthy according to the item-by-item evaluation method.In the evaluation of the AHP-fuzzy mathematical model,Fenghe River is “very healthy”,with a grade of 0.411 0.By this method,the grade of “healthy” is 0.343 8,and the grades of 0.223 9,0.021 3,and 0 denote the health status of “sub-healthy”,“unhealthy”,and “bad”,respectively.The Fenghe River Basin in Langfang Economic and Technological Development Zone has poor performance in terms of riparian bandwidth,sediment pollutants,and water quality.The proposed evaluation method can provide a reference for the health evaluation of rivers heavily influenced by cities and artificial interventions.…”
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Development and Preliminary testing of a Mixing and Pelletizing Machine for Livestock Feeds Production by T.A. Ishola, R.A. Busari, O.S. Aboyeji

“…A mixing and pelletizing machine was designed and constructed to mix and pelletize pulverized feed materials (elephant grass, wheat bran, cassava peel, molasses, cassava starch, bone meal, maize stover and groundnut cake). …”
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Development and Preliminary testing of a Mixing and Pelletizing Machine for Livestock Feeds Production by T.A. Ishola, R.A. Busari, O.S. Aboyeji

“…A mixing and pelletizing machine was designed and constructed to mix and pelletize pulverized feed materials (elephant grass, wheat bran, cassava peel, molasses, cassava starch, bone meal, maize stover and groundnut cake). …”
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Econometric Estimates of Russia's Turn to the East by A. A. Baykov, V. A. Gnevasheva

“…We use the method of constructing multiple linear regression, as well as indicators for assessing country-by-country correlation and cluster analysis. …”
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A Reduced-Order Model of Lithium–Sulfur Battery Discharge by Noushin Haddad, Hosam K. Fathy

“…Specifically, the paper starts with a seventh-order zero-dimensional model of Li-S discharge dynamics, analyzes its discharge behavior, constructs phenomenological second- and third-order models capable of replicating this behavior, and parameterizes these models. …”
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Delay-sensitive traffic intellisense scheduling based on optimal decision tree by Xuerong WANG, Zhengzhi TANG, Yinchuan LI, Meiyu QI, Jianbo ZHU, Liang ZHANG

“…Currently, network traffic scheduling strategy cannot be intelligent and on-demand, especially in the congestion caused by sudden network failures and escort scenarios of high-value services.They cannot guarantee latency-sensitive service experience on demand.The delay-sensitive attribute requirements of different network traffic were analyzed and studied, and the internal correlation between the behavior characteristics of varying network traffic and its delay sensitivity requirements was explored.Then, AI technology was used to learn this inherent relationship and construct its mapping relationship, realizing a traffic scheduling technical solution based on the intelligent awareness of delay-sensitive traffic.At the same time, considering the practical issues of interpretability and deploy-ability of AI models, reinforcement learning (RL) technology was used to prune and optimize the interpretable decision tree model, which improved the robustness of the model and made model lighter and easier to implement in equipment deployment.Through experiments by the collected real network traffic, the decision tree model optimized by reinforcement learning could improve the awareness accuracy by 1.75% in a single inference case, and the inference performance was improved by about 30%.The experiment also proved that using micro-statistical features for multiple inferences could help improve the model accuracy; in all experiments, the scale of the decision tree model optimized by RL was reduced by about 60.0%～87.2%, and the Saras had better optimization performance than Q-learning.…”
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Postdigital Reading Strategies in Emersive VR Fiction: Empirical Insights by Alice Bell, Astrid Ensslin

“…These ontological ruptures, evoked by what we call ambispatial design, can lend VR fiction an emersive quality, constructing readers as self-conscious voyeurs rather than granting them an unreflected, immersive experience. …”
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The Image of Central European Immigrant in Popular Fiction and Its Adaptations: A Case Study of the Detective Murdoch/Murdoch Mysteries Series by Biljana Oklopcic

“…The aim of this paper is to examine (1) how the mystery formula in Canadian popular print and TV media constructs the image of Central European immigrant and (2) to what extent the mystery formula in Canadian popular print and TV media relies on stereotypes to create entertainment with rules known to everyone, allowing them to participate in its models of suspense and resolution. …”
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The Performance of Resistance Progressive Collapse Analysis for High-Rise Frame-Shear Structure Based on OpenSees by Qiang Zhang, Yaozhuang Li

“…A finite element model (FEM) of frame-shear structure was constructed using OpenSees program based on the nonlinear flexibility theory and multi-vertical-line theory that considered bending-shear coupling, and its progressive collapse resistance under abnormal conditions was analyzed. …”
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Analysis of Meshing Contact Characteristics of the Gear Transmission System Based on Data Mining Technology by Li Shengjia, Ma Yali, Zhao Yongsheng, Pu Dajun, Yan Shidang

“…Based on the principle of multi-dimensional Gaussian distribution and the finite element model of gear transmission system, the meshing contact characteristic data set of the system is constructed. The correlation between system parameters and meshing contact characteristics is analyzed using the maximum information coefficient, which provides a candidate feature subset for the prediction model. …”
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Risk Assessment of Biological Asset Mortgage Loans of China’s New Agricultural Business Entities by Shuzhen Zhu, Yutao Chen, Wenwen Wang

“…Based on 1249 production and operation data samples of new agricultural entities in Zhejiang, Henan, and Shandong provinces, this study constructs an XGBoost model for empirical analysis and compares it with logical regression, support vector machine, and random forest algorithms to obtain the optimal model and feature importance value. …”
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Deep Learning Methods for Arabic Autoencoder Speech Recognition System for Electro-Larynx Device by Zinah J. Mohammed Ameen, Abdulkareem Abdulrahman Kadhim

“…In this research, we evaluated different combinations of LSTM and GRU for constructing the best autoencoder. A rigorous evaluation process indicates better performance with the use of GRU in both encoder and decoder structures. …”
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The effect of chimney entrance slope and constricted section on the performance of solar chimney power plants: A CFD approach by Kaplan Mahmut

“…A computational fluid dynamics model (CFD) is constructed based on Manzanares plant with a chimney height (H) of 194.6 m via ANSYS FLUENT. …”
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Driving Healthy Behaviors through Social Support: The Role of Co-Responsibility in Weight Loss and Maintenance by Melanie Knufinke-Meyfroyt, Carlo Lancia, Yentl Lodewijks, Simon Nienhuijs, Eva Deckers

“…<strong>Results</strong>: Results showed that increased Co-responsibility was associated with improved health outcomes and that it extended the construct of Spousal Support. The underlying pathway of associations between Co-responsibility and health outcomes was found to be through Self-efficacy. …”
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Future network model for integrated collaboration of communication, computing, caching and intelligence by HU Yujiao, HUANG Tao, JIA Qingmin, XIE Renchao, LIU Yunjie

“…These layers worked together to construct an intelligent network environment and network services. …”
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Elite in social networks: new forms of feedback in the digital age by O. V. Kryshtanovskaya

“…The index of authority, reflecting popularity of each representative of establishment in circles of ruling elite has been constructed. The method has allowed us to identify not only leaders of public opinion in a network, but also to find the most influential persons in circles of the persons making the state decisions. …”
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Channel estimation for double IRS-assisted millimeter wave MIMO systems based on tensor decomposition and manifold optimization by FENG Kaihui, LIU Chen, HUANG Zheng, SONG Yunchao, GAO Runqin

“…Specifically, a tensor model was constructed based on the high-dimensional features of received signals, and the objective function of the channel estimation problem was formulated based on the Tucker2 decomposition of the tensor. …”
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Evaluation of Spatial and Temporal Performance of Deep Learning Models for Travel Demand Forecasting: Application to Bike-Sharing Demand Forecasting by Jaehyung Lee, Jinhee Kim

“…Six deep learning models with the same architecture, except for the base module, consisting of three stacked layers, were constructed. These models were used to forecast demands for a station-based bike-sharing service in Seoul, South Korea. …”
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The Design of Incentive Mechanism for Policy-Oriented Guarantee Institutions’ Digital Transformation in China by Youqing Lv, Guojian Ma, Linlin Lv, Juan Ding

“…Based on the principal-agent relationship between local governments and policy-oriented guarantee institutions, this study constructs a basic incentive model (model I) and an incentive model introducing a regulatory signal (model II), empirically analyzes the digital transformation effort of guarantee institutions under the influence of different factors and discusses how local governments should design the optimal incentive mechanism. …”
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Intelligent Topical Sentiment Analysis for the Classification of E-Learners and Their Topics of Interest by M. Ravichandran, G. Kulanthaivel, T. Chellatamilan

“…It has been proposed that a model using item response theory is constructed for topical classification inference. The performance has been improved remarkably using this bigram item response theory when compared with other supervised algorithms. …”
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