Reviewerly/exHarmony huggingface dataset:
Semantically Time Tracking of Events from Web Documents

Exploring large news collections created by media outlets with traditional search engines is impractical for demanding users. We propose a temporal exploration tool that aims to facilitate the consultation of news collections. We concentrated our efforts on two fronts: (i) allowing users to make queries with the addition of information from documents represented by word embbedings, and; (ii) retrieving temporal information to generate timelines presented by an appropriate interface. We evaluated our solution in a collection of a Brazilian newspaper, demonstrating that it can draw different timelines, covering different subtopics of the same theme.
Institutional Technologies for Blockchain

There are many theories and implications relating to industrial policies, technological change, and innovations. Blockchain technology has made these implications to lower institutional entrepreneurship, hence propelling the evolution of institutional technologies and finding new opportunities. Exploring the innovation process and implementing it for the foundations helps for financial administration and coordination. This work builds up a unique model of institutional advancement and suggestions for the approach. Blockchain technology would provide solutions to institutional policies, provide new possibilities for economic exchange, and propose significant implications in open advancement frameworks in a globalized setting. The primary focus of the framework to achieve the secure and lower-cost governance model. The technology advancement of blockchain increases the security strength and equally reduces the cost of the transaction among the number of public services. The utilization of enhanced institutional framework improves the quality of services (QoS). The proposed research article focuses on the blockchain-based institutional framework and its application to the public governance models and services.
13-Brauer Trees for Spin Characters of Symmetric Group S23

In this paper 13-Brauer Trees for Spin Characters of S23 modulo p=13 which gives the 13-Brauer characters for a spin characters of S23 are calculated.
Toward a Visual Concept Vocabulary for GAN Latent Space

A large body of recent work has identified transformations in the latent spaces of generative adversarial networks (GANs) that consistently and interpretably transform generated images. But existing techniques for identifying these transformations rely on either a fixed vocabulary of pre-specified visual concepts, or on unsupervised disentanglement techniques whose alignment with human judgments about perceptual salience is unknown. This paper introduces a new method for building open-ended vocabularies of primitive visual concepts represented in a GAN's latent space. Our approach is built from three components: (1) automatic identification of perceptually salient directions based on their layer selectivity; (2) human annotation of these directions with free-form, compositional natural language descriptions; and (3) decomposition of these annotations into a visual concept vocabulary, consisting of distilled directions labeled with single words. Experiments show that concepts learned with our approach are reliable and composable -- generalizing across classes, contexts, and observers, and enabling fine-grained manipulation of image style and content.
Requirements to the students in humanistic educational environment

The purpose of the research presented in the article is to reveal the dependence of the changes in the requirements to students on the level of the development of the society. Its topicality is connected with the necessity to match the requirements to the students in the educational process and the character of professional tasks that would be solved by them in the future. The tasks, in their turn, are determined by the concept of labour in the intellectual labour society. The key characteristics of the activity-competence basis of professional activity are shown. It is supposed that the number of people involved in intellectual labour will continue to grow. Hence, it is emphasized that specialists working under such conditions should be ready for multifunction, for rotation, for improving their qualification. An example of transprofessional education aimed at achieving this goal is supplied. The main stages of its organization in foreign colleges are enumerated. The practical aspect of the problem of actualization of the requirements to the students can be fulfilled step by step. It begins with the professional orientation of the senior form students through motivating them to develop critical thinking, to master information processing methods, to get experience in command projecting. In the period of professional education in higher educational establishments it continues as formation of universal and general cultural competence of would-be specialists of different spheres of activity.
The road towards structured affiliation information in a national bibliographic database

The implementation of a Flemish research evaluation parameter highlights the complexity of author affiliation data collection for publications not included in major bibliographic databases.In this paper, we discuss a set of fundamental challenges that were encountered during a first data collection project.More specifically, we will elaborate the multifaceted data retrieval approach, the quest for a sustainable way of data registration and the development of necessary infrastructure and procedures.Although a lot of efforts are being invested in optimizing the exchange of wellstructured author affiliation data, we will zoom in on opportunities that might arise to facilitate similar projects in the future.Author affiliation data is an essential part of publication metadata.The more it becomes structurally available, the more it will be used in processes like research evaluation.However, the deployment of an affiliation data collection process for a Flemish research assessment parameter in social sciences and humanities demonstrates that continued efforts to optimize the quality and increase the distribution of affiliation data are necessary.Taking a diversity of publication practices into account, the creation of this Flemish dataset requires a multifaceted approach that not only includes the common data sources, but also an integrated set of ad hoc strategies beyond these tools.The organization of this operation, the challenges and opportunities will be elaborated in this paper.
Resource consumption trade-off for reducing hotspot migration in modern data centres

Virtual machine migration is a basic mechanism to implement dynamic resource management such as resource restraints management, physical machine consolidation, and load balancing. These are necessa...
Design of Wireless Ground Monitoring System for Microseismic Fracturing in Oil and Gas Fields

In order to optimize the microseismic surface monitoring method for hydraulic fracturing in oil and gas fields and realize real-time monitoring and analysis of multi-node wireless sensor data, a wireless surface monitoring sensor system based on Wireless Mesh Networking was designed in this paper. The wireless sensor nodes of the system are mainly used to monitor the three-axis acceleration data, and meanwhile collect Global Positioning System(GPS) position, geomagnetic field, ambient temperature, ambient sound and other multi-dimensional information. The Mesh redundancy wireless communication with multiple paths is adopted, so that the sensor data can be transmitted to the gateway through multi-hop between nodes, and the data collected by the gateway can be transmitted to the computer via Wireless Fidelity(WiFi) network. Visual data developed by Microsoft Visual Studio is used to monitor the Upper Computer, and the wireless sensor node parameter configuration, data acquisition, data storage and data analysis are realized. In order to improve the maintenance performance of the system, necessary hardware and software life optimization is carried out on the nodes and gateways to realize the convenient firmware upgrade of the Bootloader. The experimental results show that the system has the advantages of stable and reliable data, convenient installation and arrangement, convenient debugging and maintenance, and strong expansibility. The system is another supplement of microseismic ground monitoring technology.
Compliant Transport Vehicles Verification Fraud Detection of Based on Rule Inference

This phenomenon can be described as an intentional act of lying on the compliant vehicle verification with the intent to obtain an illegal operation certificate of transport. These false data will bring safety problems in the management of transport vehicles. Regrettably, the fraud behaviors of compliant vehicle verification are too hidden to come to light, therefore access to labeled historical information is extremely limited. For this reason, the applicability of supervised machine learning techniques for compliant vehicle verification fraud detection is severely hindered. Such limitations motivate the contribution of this work. We present a novel approach for the detection of potential fraudulent compliant transport vehicle verification using only rule inference techniques and allowing the future use of supervised learning techniques. We demonstrate the ability of our model to identify potential fraudulent verification vehicles on compliant transport vehicle verification data, reducing the number of potential fraudulent verification vehicles. The obtained results demonstrate that our model doesn’t miss on real compliant transport vehicles verification data, increasing the operational efficiency in the compliant transport vehicles verification process without needing historic labeled data.
Occluded Animal Shape and Pose Estimation from a Single Color Image

This work addresses the problem of the animal shape and pose estimation from an occluded image. Most of exisiting 3D animal reconstruction methods focus on an automatic and accurate framework in normal conditions, but ignore some exceptional occasions, such as occlusion, which limits the practical applications of estimating the animal shape and pose to a large extent. In this paper, we introduce a random elimination strategy from fully annotated joints and propose a deep neural network for SMAL parameters regression from the partial joints. Our proposed method can effectively deal with the reconstruction of animals under the scenario of an occluded image. We have conducted extensive experiments and results demonstrate that our 3D animal shape and pose estimation method can yield good performance on occluded images.
Using an ejection system for supplying water and reagent in combined flotation apparatus

The paper highlights the problem of rational use of water resources, based on the increasing need for compact combined devices based on the processes of coagulation, deposition, and flotation. To improve the quality of water treatment, an original design of the ejection system for water and reagent supply has been developed. The main geometric parameters and features that allow solving the problem of "dead zones" are analysed. The use of such a system increases the efficiency of cleaning the fat-containing wastewater by supplying a water-air mixture and forming easily floated "particle bubble" complexes.
Competencias digitales y alfabetización mediática para una educación abierta y en línea

We live in a society where physical and virtual reality are increasingly intertwined. The boundaries between the body and the imaginary gain new contours and definitions, affecting important and essential aspects, such as the power of participation and emancipation of the individual in the society in which he/she is inserted. The rapid pace of the technological and digital society makes it essential that both teachers and students know how to use different digital resources to create and develop learning environments that lead not only to the acquisition of knowledge, but also to scenarios that promote the development of different learning skills. Recently, the emphasis given to the relevance of digital competence has resulted in the development of various initiatives in Europe aimed at promoting digital and media competence. In addition, evaluating media in a critical and conscious way, developing the skills necessary to participate in an active and informed way in society, is considered today a fundamental competence for an increasingly mediated society and also for an education that increasingly moves in a fluid way between formal and non-formal spaces. To this end, it is necessary to rethink the objectives and methodologies of education, based on a concept of literacy that is continuously evolving, related to the skills needed to read, understand and communicate.
REDUCE: a semi-supervised scalable approach for REsult DUplication detection in Search Engines

Search engines are among the most popular web services on the World Wide Web. They facilitate the process of finding information using a query-result mechanism. However, results returned by search engines contain a lot of duplications. For instance, when a user searches for a query q on Google, he will get n number of links divided into m number of pages. Although returned links have different content, exactly similar content is still existing on different links returned by search engines. This problem is referred to as duplication. Solving this problem, will increase the quality of search results as well as reducing the time search per query. In this paper, we introduce a new method called REDUCE (REsult DUplication detection in searCh Engines), to address this problem. It implements a semi-supervised approach. It approximately measures the similarity between the web pages and we suggest a new method to group the search results based on their similarity. To evaluate our method, we collect data from Google and other search engine platforms. We show that our method can solve this problem on different search engine platforms with different languages. We empirically evaluated our results on different classification algorithms and reached an accuracy of 96.7%.
GAN learning complex fluvial facies distribution from process-based modelling

Summary This work shows the advantages and disadvantages of modelling complex geological models using generative adversarial networks (GAN). A process-based model, FLUMY, is used to create the training dataset. Compared to previous work in this area, this dataset contains varied geo-body geometry, asymmetrical channel sinuosity and irregular meander morphology. In short, this training dataset is closer to the real complexity of fluvial reservoir. The results indicate our GAN can capture complex multi-facies distribution, their relationships, and facies geometry. However, the GAN generated realizations contain many geologically unrealistic features. In this paper, we list two types of unrealistic features, named 'mislabelling' and 'incorrect channel-levee relationship'. Two proposed methods are proved that they can reduce the amount of the unrealistic features. Embedding one-hot encoder in GAN can cure the 'mislabelling' issue. Multi-discriminator strategy is helpful to assist GAN to learn spatial relationships among different facies better.
Modelling Mobile Experience in Chinese Language Learning

To model mobile experience is one of the three-step 3M approach proposed by Xu for mobile experience research. Equipped with the three-step 3M approach and based the factor-stage-dimension framework, this chapter proposes an innovative model to locate predictors of mobile experience in applying mobile technologies to Chinese language learning. By refining the factor-stage-dimension frame and the proposed innovative model, this chapter invites further global efforts to compare mobile learning experience in Chinese language learning for securing further discoveries of more effective and powerful ways to describe, explain, and predict mobile learning experience.
REVIEW ON DISTRIBUTED DATABASE SYSTEMS

Distributed database system refers to a pool of databases incorporated and integrated physically across various sites in a computer network. The topic of the research paper will be anchored on A New Scalable and Expandable Access Control Model for Distributed Database Systems in Data Security. On top of this, the study will establish how social media, the Internet of Things (IoT), and self-driving automobiles integrate distributed database systems in their models.
On the Demand of Regional Economic Development for Higher Education Development under the New Economic Normal

Under the background of economic new normal, the interaction between regional economy and higher education is more and more obvious. The local cities of Jiangsu Province are late developing areas of higher education. There are still some problems in the coordinated development of regional economy and higher education, such as slow development of higher education, backward overall development level, single investment subject of higher education, insufficient school running funds, mismatch between professional structure and economic and industrial structure, imbalance of teaching staff structure and relatively weak teaching staff. With the rapid development of local economy and society, the macro-economic situation of stimulating domestic demand has brought opportunities for accelerating the development of local higher education. It also needs all kinds of talents as support. The change of industrial structure needs the adjustment of higher education structure. The effective measures to solve these problems are to raise funds from multiple channels, increase investment in higher education, attach great importance to the relationship between higher education and the coordinated development of regional economy, optimize the professional structure of colleges and universities to adapt to the adjustment of regional industrial structure, improve the quality of higher education and promote the optimal allocation of higher education resources.
Influence of porosity on filtration of biological fluid through a two-layer capillary wall

On the basis of proposed new filtration model the peculiarities of concentration distribution of component carried by two-component biological liquid and fluid velocity in capillary with two-layer porous walls in steady-state mode are studied. Mathematical model takes into account such important phenomena as concentration expansion and viscosity dependence on concentration. The fluid flow corresponds to the Brinkman model. Dimensionless complexes linking characteristic physical scales of different phenomena are highlighted. Influence of model parameters on biological liquid filtration process for capillary wall layers with different porosity is analyzed. The peculiarities of flow regime and distribution of component concentration for different characteristics of internal porous layer (porosity, phase mobility, size) are revealed.
An agent-based mechanism to form cloud federations and manage their requirements changes

Cloud computing is a business paradigm, where Cloud providers offer computing resources (software and hardware) and Cloud consumers use them. Forming Cloud federations and managing them is a big pr...
Linguistic Variation Among Pakistani Internet Blogs: A Multidimensional Analysis

Pakistani English, being a non-native independent variety, has its registers that demonstrate linguistic variation at all levels. With the dawn of digital technology and the internet, new Internet registers, such as E-mails, Instant Messaging, Blogs, Tweets, and Facebook comments, emerged swiftly. Internet blogs are one of the text-based varieties of Computer-mediated discourse (CMD) and the most popular form of written internet registers. The principal aim of this research paper was to discover linguistic variation among Pakistani Internet blogs using Multidimensional (MD) methodology, initiated by Biber (1988). A specialized corpus of Pakistani internet blogs, having 469,837 words, was designed and disseminated into 11 sub-categories. The corpus tagged by Biber Tagger at Northern Arizona University, USA calculated 154 linguistic features. The mean values of all the sub-categories on five dimensions were compared to discover linguistic and situational variances among Pakistani internet blogs. Two-factor ANOVA was conducted to discover noteworthy statistical linguistic disparity among sub-registers of Pakistani internet blogs. The results of the study exposed significant linguistic and situational differences on five dimensions among different sub-categories of blogs. All the blog categories have revealed statistically significant linguistic differences on D1 and D4. The language of blogs has been observed as non-narrative, explicit, and abstract on D2, D3, and D5 respectively. The research will be significant for the future diachronic study of internet registers and Pakistani English. The corpus of blogs will be productive for computational linguists and researchers for new MD analysis, genre analysis, and critical discourse analysis. The detailed understanding of linguistic features of the language of blogs will help the second language teachers and students to improve their vocabulary, grammar, writing skills, and cognitive abilities.
A Multi-Robot Coverage Path Planning Method Based On Genetic Algorithm

Multi-robot coverage path planning has important application values, while there are few research achievements. The difficulty lies in is how to allocate tasks reasonably. This paper proposes an offline algorithm based on GA, considering the efficiency of completing tasks and energy consumption. Before allocating the coverage tasks, the path planning is decomposed into two processes: map decomposition and optimization of task allocation. Compared with some current research results, there are three main advantages: 1) Robust of robots information and map information;2) It overcomes the topological relationship which is difficult to consider in the application of GA;3) Complete coverage capability.
Semantic Media Conversion

With recent amazing progress in machine intelligence, it is becoming increasingly easy to information reliably from one medium to another. For example, there is already a regular annual conference on Text as Data. We will soon have similar facility to deal with images, videos, music, and so on. Let's call this semantic media conversion. In this talk, I will outline some possibilities with high quality semantic media conversion. In particular, it becomes possible to convert all media into alphanumeric data, nicely organized in structured tables with limited loss of information. Multimedia data, so converted, becomes easy to use, to aggregate, and to analyze, leading to new Data Science opportunities. But this ease of analysis also leads to questions of appropriateness. We shouldn't necessarily do everything that we have the ability to do. What are our values How do we apply them in practice What limits do we apply to semantic media conversion and the analysis enabled by it.
How Can Drones Contribute to Mineral Exploration?

Drones are getting more and more used to replace piloted platforms to reduce the costs and increase safety of activities such as monitoring, delivery or warfare. So far though, drones have barely been used as more than single-sensor platforms. In order to be used in mineral exploration we need to ensure that the data acquired by drones are versatile, accurate and adapted to the tasks but also that the platforms are robust and low-maintenance to ensure an operational use in remote locations. During the last years we developed and tested a series of workflows to rapidly provide relevant information to exploration teams. It starts with multi-source data acquisition, data integration and preprocessing. We then use machine learning to process the data and generate relevant geological information.