Block-based fair payment scheme under delegation computation by Ta LI, Youliang TIAN, Kang XIANG, Hongfeng GAO

“…In the traditional delegation computation,due to the self-interested behavior of both participants,there were some problems such as the denial of the principal and the dishonest calculation by the computing party.In the payment phase,a third party was required to ensure the fairness of the payment,which led to extra costs and risks of disclosure of participants' privacy.Game theory was used to analyze the Nash equilibrium solution between the two parties in the payment process,and a fair payment protocol based on time commitment of bitcoin was proposed.Firstly,the bitcoin time commitment technology was used to ensure the fairness of payment.Secondly,the decentralized feature of block chain was used to replace the third-party service to protect the privacy of all parties and realize the source of responsibility.Finally,the scheme was analyzed from the perspective of security and correctness,which proved that the participants choose behavioral strategies honestly in the payment process.The scheme proposed in this paper not only solved the problem of fair payment in traditional delegation computation,but also protected the privacy of participants.…”
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Rethinking Sustainability: Mapping Microclimatic Conditions on Buildings as a Regenerative Design Strategy by Ana Zimbarg

“…Once humankind became aware of environmental problems, more opportunities were open for research and discoveries, which expanded the boundaries, and gave force to sustainability in architecture. …”
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Beyond death and toward the impossible: Kirillov vs. Nietzsche by Wojciech Kruszelnicki

“…The aim of this paper is to critically analyze and evaluate the commonly held belief in philosophy and literary studies that suicidal Kirillov – a relentlessly intriguing character featured in Dostoevsky’s The Devils – voices and embodies the same ideas that were later to become characteristic of Friedrich Nietzsche’s thought. …”
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The Detection of Fake Text News using a Dense-based 1D-CNN Deep Learning Algorithm by Khalid Abood Kamel, Jumana Waleed

“… There are a lot of problems with fake news, which can make people think of things that ‎aren't true. …”
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Generative AI for Bayesian Computation by Nick Polson, Vadim Sokolov

“…Primarily, quantile architectures are density-free and exploit feature selection using dimensionality reducing summary statistics. …”
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Intermediaries between Journalism and Arts: Shared Concerns, Work Processes and Strategies Outlining an Emergent Practice by Stijn Postema

“…Through a series of in-depth interviews, this study documents key issues, how they solve problems, and how this shapes the practice of artistic journalism. …”
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Information system of semantic search of the image to the text of advertising announcement by N. G. Shvets

“…In connection with the rapid development of information technology, modern society is in need of solving the problems of the accumulation, storage and automated processing of semiotically heterogeneous arrays of texts. …”
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The Sphere of Culture in the System of Strategic Planning of Socio-Economic Development of the Region by S. T. Rumyantseva

“…Today, more than ever, it is important to take this feature into account when developing and implementing state policy. …”
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Educational Behaviour Analysis Using Convolutional Neural Network and Particle Swarm Optimization Algorithm by Zhenjiang Dong

“…In this paper, we proposed a network model based on the ResNet50 network fused with a bilinear hybrid attention mechanism and proposed an adaptive pooling weight algorithm based on the average pooling algorithm for the problems of image feature extraction caused by traditional pooling algorithm such as mutilation and blurring. …”
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Renewable Energy Efficiency for Regional Development: Case of Belgorod Region by Pakina Alla, Karnaushenko Anastasia

“…It is one of the most developed regions in Russia with diversified structure of economy. Significant feature of the region’s economy is a lack of domestic energy production and dependence on energy supplies from neighbouring regions. …”
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Efficient privacy-preserving image retrieval scheme over outsourced data with multi-user by Xiangyu WANG, Jianfeng MA, Yinbin MIAO

“…The traditional privacy-preserving image retrieval schemes not only bring large computational and communication overhead,but also cannot protect the image and query privacy in multi-user scenarios.To solve above problems,an efficient privacy-preserving content-based image retrieval scheme was proposed in multi-user scenarios.The scheme used Euclidean distance comparison technique to rank the pictures according to similarity of picture feature vectors and return top-k returned.Meanwhile,the efficient key conversion protocol designed in proposed image retrieval scheme allowed each search user to generate queries based on his own private key so that he can retrieval encrypted images generated by different data owners.Strict security analysis shows that the user privacy and cloud data security can be well protected during the image retrieval process,and the performance analysis using real-world dataset shows that the proposed image retrieval scheme is efficient and feasible in practical applications.…”
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The Public Policy to Support High Growth Firms: Is a New Ideology of Industrial Policy Born? by Yu. A. Polunin, A. Yu. Yudanov

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Time Category in Novel “Corinna, or Italy” by Germaine de Staël by T. V. Nuzhnaya

“…It is argued that this feature of the presentation deepens psychologism and enhances the moral and ethical problems of the novel. …”
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A Study on the Construction of Translation Curriculum System for English Majors from the Perspective of Human-Computer Interaction by Qi Li

“…Then, the enhanced data is fed into a graph convolutional neural network for node feature extraction to obtain node representations of users and items. …”
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Specificity of the Application of the Fixed Price of the EPC-contract for the Construction of Nuclear Power Plant and Facilities Abroad by Yu. B. Ponomareva, M. M. Ishchenko

“…This study is devoted to approaches to pricing problems during the implementation of nuclear power plant construction projects abroad from the perspective of the nuclear industry’s aspiration to take the place of a global leader. …”
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The Janus Face of Stress on Reproduction: From Health to Disease by Dóra Zelena

“…Parenthood is a fundamental feature of all known life. However, infertility has been recognized as a public health issue worldwide. …”
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New Aspects of Polymer Characterization by Dynamic Light Scattering by Walther Burchard

“…The power of the method is illustrated by two simple examples and, finally, some problems of practical interest are discussed. …”
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Flood Forecasting for Small Reservoirs Based on Neural Networks by PENG Wei, XIONG Jiayi, JIANG Xianqun, GAO Yueming

“…In flood forecasting,empirical prediction methods report low accuracy,and traditional hydrological models face the problems of large workloads and difficult promotion when they are applied to small reservoirs.Hence,an artificial neural network (ANN) method is introduced,which is equipped with powerful feature-learning capability.It is combined with the genetic algorithm (GA) to find the optimal parameters for flood forecasting of small reservoirs as GA can realize automatic optimization of the time step and hidden-layer neuron nodes in ANN.In this way,parameter search can be targeted,and personalized flood forecasting models can be constructed for each small reservoir.In addition,the flood forecasting models based on the back propagation (BP),long short-term memory (LSTM),and gated recurrent unit (GRU) neural networks are built,and comparisons between simulations and measured data are conducted for the flood process.The results show that the LSTM model has high prediction accuracy and good stability and can learn and simulate the water-level change pattern of the actual flood process,demonstrating better prediction performance than BP and GRU models.…”
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Towards edge-collaborative, lightweight and privacy-preserving classification framework by Jinbo XIONG, Yongjie ZHOU, Renwan BI, Liang WAN, Youliang TIAN

“…Aiming at the problems of data leakage of perceptual image and computational inefficiency of privacy-preserving classification framework in edge-side computing environment, a lightweight and privacy-preserving classification framework (PPCF) was proposed to supports encryption feature extraction and classification, and achieve the goal of data transmission and computing security under the collaborative classification process of edge nodes.Firstly, a series of secure computing protocols were designed based on additive secret sharing.Furthermore, two non-collusive edge servers were used to perform secure convolution, secure batch normalization, secure activation, secure pooling and other deep neural network computing layers to realize PPCF.Theoretical and security analysis indicate that PPCF has excellent accuracy and proved to be security.Actual performance evaluation show that PPCF can achieve the same classification accuracy as plaintext environment.At the same time, compared with homomorphic encryption and multi-round iterative calculation schemes, PPCF has obvious advantages in terms of computational cost and communication overhead.…”
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Personalized Product Recommendation Model of Automatic Question Answering Robot Based on Deep Learning by Jie Peng, Jianhui Xu

“…The collaborative filtering algorithm widely used in recommendation systems has problems with the sparsity of scoring data and the cold start of new products. …”
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