FOOTBALL BETWEEN POLITICS, ROYAL FAMILIES AND SPORT: YUGOSLAV-ROMANIAN FOOTBALL RELATIONS 1922–1941 by Nemanja Mitrović, Nikola Mijatov

“…Many of those competitions did not survive the political test of time: when the balance of power in Europe changed, so did the competitions and their participants. When World War II finally broke out, football fell silent and ended decades of football relations between the two countries. …”
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Prediction of Farmers’ Income in Hebei Province Based on the Fractional Grey Model (1,1) by Yongqiang Xu, Lim Thien Sang, Kun Wang

“…Only Shijiazhuang’s income growth rate is on the rise. Finally, suggestions are given to promote farmers’ income in Hebei Province.…”
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DTA measurements in the ternary Ag-Au-Ga system by Jendrzejczyk-Handzlik D., Handzlik P.

“…Moreover, the temperatures of invariant reactions and other phase transformations were investigated from DTA measurements which were carried out with the rate 1 K min-1. Finally, the experimental results were compared with the isopleths obtained from the prediction and calculation of the phase diagram which were done by using CALPHAD method. …”
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Effects of Fit Clearance Between the Outer Ring and the Housing on Vibration Characters of the Gear-shaft-bearing System by Xu Lijin, Chen Qing, Dai Peng, Wang Fengtao

“…As the bearing fit clearance is increased, the higher multiple harmonic components will be generated. Finally, the established model and the analysis of the results are verified by experiments.…”
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Deep Neural Network Model Forecasting for Financial and Economic Market by Fan Chen

“…Second, the model also designs an optimization function based on the stability constraints of the prediction sequence, so that the model has better robustness. Finally, a large number of experiments are carried out on real large-scale data sets, and the results fully prove the effectiveness and robustness of the proposed model in the dynamic prediction of the Internet financial market.…”
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Dynamics of two phytoplankton populations under predation by Jean-Jacques Kengwoung-Keumo

“…The removal rates are distinct and we use general response functions. Finally, numerical simulations are carried out to show consistency with theoretical analysis. …”
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Research on OTN Service Delay Estimation Method based on Machine Learning by YANG Ganggang, SHAO Zhugui, JIANG Xianrong

“…Then the characteristic variables for delay estimation are obtained. Finally, the paper proposes a delay estimation model based on engineering live network, and compares the simulation results of various machine learning algorithms.…”
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Observer-Based Adaptive Fuzzy Predefined Performance Control of a Class of Nonlinear Pure-Feedback Systems with Input Delay by Xin Li, Qiang Zhang, Dakuo He

“…The tracking errors converge within a predefined range, while the observer estimation errors converge within a small zero region. Finally, the simulation results demonstrate the effectiveness of the proposed control system.…”
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Microscopic Fluctuations in Power-Grid Frequency Recordings at the Subsecond Scale by Benjamin Schäfer, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Ellen Förstner, Richard Jumar, Heiko Maass, Uwe Kühnapfel, Veit Hagenmeyer

“…Third, we provide a simplified stochastic model involving positively correlated noise to reproduce the observed dynamics, possibly linked to frequency-dependent loads. Finally, we stress the need for high-quality measurements and discuss how we obtained the data analyzed here.…”
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RL4CEP: reinforcement learning for updating CEP rules by Afef Mdhaffar, Ghassen Baklouti, Yassine Rebai, Mohamed Jmaiel, Bernd Freisleben

“…Our experimental results based on three financial trading rules and eight financial datasets demonstrate the merits of RL4CEP in improving the overall profit, when compared to baseline and state-of-the-art approaches, with a reasonable consumption of resources, i.e., RAM and CPU. Finally, our experiments indicate that RL4CEP is executed quite fast compared to traditional CEP engines processing static rules.…”
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La remise en eau de la plaine de Piolenc-Mornas face à la constitution d’une culture locale de l’arrangement by Marie Anckière, Julien Langumier

“…How the former negotiations relative to the implementation of infrastructures have participated in turning the rural plain into modernity? Finally, how these two dynamics, memory and negotiation, influence the mobilization against the project of optimization of floods expansion areas ?…”
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FINITE ELEMENT ANALYSIS AND OPTIMIZATION OF TOP BEAM STRUCTURE FOR ADVANCE SUPPORTING EQUIPMENT OF ARCH by MAO Jun, GUO GuangLing, XIE Miao

“…The simulation results show that there is stress concentration in the supporting roof beam with maximum stress of 192. 71 MPa and safety factor of 1. 22. Finally,the design of the top beam structure is optimized by using the Design Explorer module in ANSYS Workbench. …”
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Adaptive message sending rate control method based on channel congestion cost calculation in VANET by Ming-jian LIU, Guo-zhen TAN, Shuai-bing LI, Nan DING, Cai-xia SONG

“…In VANET,sending beacon messages reliably played a vital role in cooperative awareness and collision avoidance,and changes of vehicle density in real traffic environment had a direct impact on channel load and will cause the channel congestion to a certain degree,thus causing inefficiency of cooperative security applications.Aiming at this issue,a adaptive method based on channel congestion detection to control message sending rate was designed.First of all,an interference model that can accurately reflect the current state of the channel was established.Secondly,according to the Shannon information theory and network utility maximization theory,the optimal transmission speed of the current node in the physical layer was calculated.Finally,according to the mismatch of transmission rate and transmission queue length,the next moment's cost function of the channel congestion degree by monitoring the message queue was established to avoid channel congestion and queue overflow.The simulation experiment shows that the scheme effectively reduces communication transmission delay and avoids channel congestion,ensuring that the data be sent reliably.…”
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A Generic Data Analytics System for Manufacturing Production by Hao Zhang, Hongzhi Wang, Jianzhong Li, Hong Gao

“…Aimed at factory data analytics, several algorithms were selected, tuned, optimized, and finally integrated into the system. Some noteworthy techniques were developed in GMDA such as proper algorithm selection strategy and an optimal parameter determination algorithm. …”
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Graph neural network-based address classification method for account balance model blockchain by Zhiyuan LI, Binglei XU, Yingyi ZHOU

“…To regulate the transactional activities on the public blockchain involving account balance models, it is necessary to conduct research on address classification for transactions on such blockchains.A blockchain address classification method, named AJKGS-ABCM (attention jumping knowledge graph SAGE account-based blockchain classification model), was proposed to categorize blockchain addresses, providing effective support for blockchain transaction tracking.Blockchain transaction data was represented as a graph structure, with addressed as nodes and transactions as edges.The AJK-GraphSAGE algorithm was introduced to learn embedded representations of the graph, where the model’s input required only nodes and their sampled neighboring node sets.Simultaneously, attention mechanisms and skip-connection knowledge integration strategies were incorporated into the model, allowing for adaptive weight allocation across different layers and information sharing between various levels, thereby enhancing training speed and generalization capabilities.Finally, experimental comparisons are conducted, demonstrating superior performance in terms of accuracy, recall, and F1 score compared to other methods.…”
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Variance-Constrained Multiobjective Control and Filtering for Nonlinear Stochastic Systems: A Survey by Lifeng Ma, Zidong Wang, Hongli Dong, Guoliang Wei

“…Subsequently, some latest results on the variance-constrained multi-objective control and filtering problems for the nonlinear stochastic systems are summarized. Finally, conclusions are drawn, and several possible future research directions are pointed out.…”
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Energy-efficient optimization strategy based on elastic data migration in big data streaming platform by Yonglin PU, Xiaolong XU, Jiong YU, Ziyang LI, Binglei GUO

“…Focused on the problem that the stream computing platform was suffering from the high energy consumption and low efficiency due to the lack of consideration for energy efficiency in designing process, an energy-efficient optimization strategy based on elastic data migration in big data streaming platform (EEDM-BDSP) was proposed.Firstly, models of the load prediction and the resource judgment were set up, and the load prediction algorithm was designed, which predicted the load tendency and determine node resource occupancy, so as to find nodes of resource overload and redundancy.Secondly, models of the resource constraint and the optimal data migration were set up, and the optimal data migration algorithm was proposed, which data migration for the purpose of improving node resource utilization.Finally, model of the energy consumption was set up to calculate the energy consumption saved by the cluster after data migration.The experimental results show that the EEDM-BDSP changes node resources in the cluster can responded on time, the resource utilization and the energy-efficient are improved.…”
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A Novel Massive Big Data Analysis of Educational Examination Research Using a Linear Mixed-Effects Model by Jing Zhao, Yiwen Wang

“…Second, we perform spectral clustering based on test data on the basis of defining data attributes and basic evaluation rules. Finally, based on cloud technology, a cross-regional, multiuser educational examination big data analysis and evaluation service platform is developed for evaluating the proposed method. …”
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Substructure correlation adaptation transfer learning method based on K-means clustering by Haoshuang LIU, Yong ZHANG, Yingbo CAO

“…Domain drifts severely affect the performance of traditional machine learning methods, and existing domain adaptive methods are mainly represented by adaptive adjustment cross-domain through global, class-level, or sample-level distribution adaptation.However, too coarse global matching and class-level matching can lead to insufficient adaptation, and sample-level adaptation to noise can lead to excessive adaptation.A substructure correlation adaptation (SCOAD) transfer learning algorithm based on K-means clustering was proposed.Firstly, multiple subdomains of the source domain and the target domain were obtained by K-means clustering.Then, the matching of the second-order statistics of the subdomain center was sought.Finally, the target domain samples were classified by using the subdomain structure.The proposed method approach further improves the performance of knowledge transfer between the source and target domains on top of the traditional approach.Experimental results on common transfer learning datasets show the effectiveness of the proposed method.…”
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Gender relations in French and British mountaineering by Delphine Moraldo

“…Then, theses texts bring to light the atypical trajectories and social dispositions (each time replaced within the social and historical context of the life of the author) of these women. Finally, they show how female mountaineers consider male mountaineers of their time – men are omnipresent in female narratives, whereas women are almost absent in men’s ones – and reveal implicitly their inferior status. …”
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