Miracle-dz/UniFAR-FTUs huggingface dataset:
What is video Virality? An Introduction to Virality Metrics

Video virality is acknowledged by many marketing professionals as an integral aspect of digital marketing. It is being mentioned a lot as a buzz word but there has not been any definitive terminology ascribed to what exactly it is. It is common to hear a phrase such as, “this video has gone viral”. However, this raises fundamental or philosophical questions such as, “what exactly is virality – Is it a video with large views or shares, or both”? If it is “How many views or shares must a video have to be considered a “viral” video? “How quickly must a video be passed on from person to person to achieve “virality” and how long must a video stay viral? Is there a relationship between a videos views and shares, likes and “share though rate” and dislikes and “share through rate”? These questions pose a conundrum and hence to piece the missing puzzle an amalgamation of literature needs to be synthesised to answer these questions adequately. The current study reviews the extant literature on viral marketing, explores the differences of opinions presented and associated challenges each of the definitions has in order to develop a working definition for video virality and how it can be measured. It also brings to light a much less focused construct identified as popularity whose emphasis is on the staying power of viral videos. The virality growth model was developed to predict the level virality and compared with other models in literature. In order to derive the working definition for virality, data from a pre-selected range of viral YouTube videos were collated. New formulae such as the STR (Share Through Rate), Relative Likes and Relative Dislikes was created to assess the extent of virality. Based on the STR formula, a threshold for virality was established and then categorized to give a greater insight on the different levels of virality. Next, the Spearman’s rank correlation coefficient was used to measure the relationship strengths among the set of video viral drivers i.e. between views, shares, share through rate, likes and dislikes. The Spearman’s rank correlation was preferred for the analysis as the data is monotonic (nonlinear). This paper offers a conceptual and practical understanding of video virality. The concept of viral video marketing is advanced by introducing a “Share Through Rate” and “Relative Likes Rate” to the definition of viral video marketing as well as the distinctive categorizations. Finally, and most significantly, the study provides an exhaustive answer to the key fundamental questions such as what is used as a basis for virality and what it takes for a video to go viral.
The impact of the industrial policy on regional development in Ukraine

The paper deals with the study of the role of industrial policy on regional development, and aims to formulate the basic measures for future structural adjustments in Ukraine. Theoretical analysis of various approaches confirms market imperfection and proves the necessity of further empirical research in the field of assessment of the effectiveness of industrial policy. The use of a complex approach, bounded rationality and socio-economic dynamics provides a transdisciplinary view on a broad range of industrial policy considerations.The progress in reforming process in the regions depends on the success of industrial policy providing different measures of support (including protection and production subsidies) across industries to see whether supported industries exhibit faster growth. Studies on economic growth and trade policies confirm the existence of a strong correlation between growth rate of trade and regions’ economic performance.The analysis of two groups of factors – general and specific sources of the growth of transition economy – is directed on estimation of the effects of regional industrial policy in Ukraine. The first group of indices includes industrial output, fixed capital accumulation, human capital accumulation, economically active population, growth of R&D expenditures, macroeconomic stability, monetary indices, foreign trade, and foreign direct investments. The aggregate transition specific factors combine the indicators of success of reforms, including labour productivity, capital intensity, technological change, regional differences. The regional imbalance assessment is determined by the gross regional product per capita, regional employment, and expenditures on education.
ASYMMETRIC EXCHANGE RATE PASS-THROUGH AND SECTORAL STOCK PRICE INDICES: EVIDENCE FROM TURKEY

In this study, we empirically investigate the impact of exchange rate changes on sectoral stock price indices in Turkey in a multivariate model controlling for consumer price index, industrial production index and money supply. For this purpose, we adopt nonlinear autoregressive distributed lags (NARDL) model developed by Shin et al. (2014). The empirical results indicate an incomplete pass-through effect of exchange rate to stock prices both in the long- and short-run. The results also support short-run asymmetry for all sectors considered in this study, except for ISE Information Services. Regarding the effect of CPI, IPI and M2, our findings indicate that, for majority of industries, consumer price index is significantly negatively correlated with stock prices in the long-run whereas the long-run impact of money supply and industrial production index on stock prices is positive.
A source authentication and data confidentiality scheme for multicast networks

Source authentication and data confidentiality are needed in many multicast applications. Most research attempted to solve either the source authentication or the confidentiality of data. This paper proposes a scheme that can treat the two problems together. Our scheme uses the TESLA protocol to ensure the source authentication and XOR encryption to ensure the confidentiality of the transmitted information so that the scheme can be applied to low bandwidth applications without requiring high computation devices. Furthermore, it tolerates packet-loss. These advantages render the proposed scheme secure in terms of authentication and confidentiality and it does not cost much.
Trading Friction and Spread Decomposition in Indonesian Stock Exchange

We examine the intraday trading and price change for frequently traded stocks in Indonesian Stock Exchange. Using bid and ask price, trade price, number of trade, trade volume, we estimate trading friction and spread decomposition. The objective of the estimation is to infer what is the biggest component of trading friction. The result of 50 most frequently traded stocks in the Indonesian Stock Exchange using trading friction estimator conclude that t he average trading friction of high market capitalization and the most relatively liquid stocks , scattered in various fractions price is equal to 1 % per year , and the highest trading frictions derived from the information and it is consistent with spread decomposition estimator.
Vers de nouvelles approches discriminantes pour la reconnaissance automatique de visages

Les travaux effectues dans le cadre de cette these portent sur l'identification automatique de visages dans des images numeriques. L'objectif est d'assigner a des visages-requetes une identite parmi celles d'un ensemble de personnes connues. Pour cela, on cherche a extraire, pour chaque visage, un ensemble de descripteurs appele signature qui lui soit specifique, puis a definir un schema de classification des signatures adapte a leur nature et a l'application visee. De nombreuses methodes ont e��te�� proposees dans la litterature. Parmi les plus efficaces, on compte les techniques de projection statistique dont le but est de fournir, par le biais d'une analyse multidimensionnelle des donnees, un espace de representation plus adapte a la classification que l'espace initial. Ce travail reprend ce principe et propose de nouvelles techniques d'extraction de signatures basees sur l'Analyse Discriminante Lineaire qui, contrairement a la plupart des approches existantes, prennent en compte la structure bidimensionnelle des images de visages. Les methodes proposees permettent de pallier les principaux desavantages des techniques usuelles. Elles contournent le probleme de la singularite sans necessiter l'ajout d'aucun parametre et leur construction est moins couteuse et instable. Un schema original de classification des signatures ainsi obtenues, en monde ferme et ouvert, est egalement introduit. Les techniques proposees sont evaluees et comparees aux approches usuelles selon des protocoles experimentaux rigoureux. Les resultats ainsi obtenus montrent les tres bonnes performances des approches introduites, et notamment leur robustesse accrue vis-a-vis de changements de pose, de variations d'expression faciale et vis-a-vis d'occultations partielles des visages.
Modélisation et analyse comportementale du système Pilote-fauteuil roulant électrique

Les fauteuils roulants electriques (FRE) ont permis a nombre de personnes handicapes moteurs de retrouver une mobilite satisfaisante, ce qui a ameliore leur qualite de vie, un vaste champ d’activites leur etant devenu accessible. Lors de la prescription d’un FRE ou d’une phase d’apprentissage a la conduite il est cependant necessaire d’evaluer les capacites de ces personnes a piloter un fauteuil. Dans ce contexte, notre objectif consiste a determiner des parametres pertinents permettant de decrire la qualite de la conduite d’un FRE pour des personnes ayant des deficiences motrices severes. Tout d’abord, nous avons modelise le systeme pilote-FRE par le modele OPCM (Optimal Preview Control Model) de Sharp. Ce modele est base sur la distance anticipee (Dp) par l’utilisateur durant sa conduite du FRE. Cette distance a ete estimee grâce a un systeme de suivi du regard combine avec le simulateur 3D ViEW du laboratoire LCOMS. Un panel de 15 sujets valides a ete recrute pour faire des tests de conduite sur simulateur et valider la modelisation OPCM. La distance Dp a permis de decrire le comportement du pilote. Ensuite, une analyse de la distance anticipee Dp en fonction de differentes zones du parcours (slalom serre, virage, slalom large), a montre que ce parametre peut etre utilise pour differencier les differents comportements de conduite liees aux differentes situations du parcours. Ensuite nous avons compare cette distance anticipee entre deux groupes, familiarises et novices vis-a-vis de la conduite en FRE. L’analyse a montre que le groupe familiarise presente une distance Dp plus importante que le groupe novice. Enfin, une derniere experience a eu lieu au Centre de Readaptation de Flavigny sur Moselle (54, France). Nous avons estime la distance anticipee (Dp) pour des sujets a deficiences motrices severes, afin de valider le parametre Dp comme indicateur de performance. Une etude de cas a ete etablie portant sur 5 enfants en situation de handicap, en comparant leurs resultats a ceux obtenus precedemment sur un panel de personnes valides
EVALUATION METHODS OF REGIONAL TRANSPORT SYSTEMS PERFORMANCE EFFICIENCY

The article considers the problems of the evaluation of the regional transport systems (RTSs) performance efficiency. A technique for its evaluation based on the Data Envelopment Analysis has been provided. The authors proposed an approach to the separation of similar RTSs for the comparative evaluation of their effectiveness. The cluster analysis and the data envelopment analysis were the main methods for the processing of statistical data on the activities and effectiveness of RTSs. An approach to the formation of a set of input and output parameters for RTS analysis and the principle of separation of RTS clusters in Russia have been provided, the methods of the evaluation of RTS functioning efficiency have been developed, which provide for the comparison of RTSs in the context of subjects and sub-sectors. The methods were tested on the basis of Russian RTSs: 5 RTS clusters have been distinguished, on the example of one of which the calculation of RTS efficiency has been shown; upon the results of the study, the authors emphasized the problems of collecting and processing of statistical data distributed by the Federal State Statistics Service of Russia, and also pointed out the principal features of the methods proposed to adapt flexibly to the challenges and the basic data of the study.
SPECTRUM SENSING PERFORMANCE OF COGNITIVE RADIO UNDER AWGN AND FADING CHANNEL CONDITIONS

Accurate sensing of the spectrum occupancy is essential for successful implementation of cognitive radio networks. However, due to higher levels of noise and multipath propagation effects of the channel, the sensing information of cognitive radio may not be accurate all the times. In this context, Receiver Operating Characteristics (ROC) of the system gives a measure of this information. It is a curve of probability of true detection with respect to probability of false detection. This paper presents the ROC of cognitive radio system for AWGN, Rayleigh and Rician channels.
Spatial Models, Legislative Gridlock, and Resource Policy Reform

This review evaluates the use of spatial models for the analysis of policy making. First, we examine spatial theory and its applications in a variety of institutional settings. We discuss how the preferences of the actors involved in political processes, the steps in those processes, and the locations of the reversion policies affect the policies that emerge from the processes. To illustrate this and analyze how the rights of political actors determine the extent of policy reform and the occurrence of gridlock, we use a spatial model of European Union (EU) policy making. We apply the model to major EU reforms in two resource policy areas: the Common Agricultural Policy reforms of the past two decades and the recent reforms of the Emissions Trading System.
Cultural Conflicts of the East and the West in Pearl Buck’s Novels on China

As the first American woman writer to win the Nobel Prize in Literature, Pearl Buck is indeed one of the earliest writers who are dedicated to the communication between the East and the West in early 20th Century. She lives both in the world of her American missionary parents and the world of a continually fascinating Orient, China. Therefore, Pearl Buck has deep affection for China and the Chinese people and thus sets China as the subject matter in most of her writings. The thesis is endeavored to explore Buck’s cultural conflicts of the East and the West embodied in her novels by analyzing some of her novels focusing on China and Chinese people, consisting of cultural shock and cultural confrontation between the East and the West. Keywords—Pearl S. Buck; cultural conflict; cultural shock; cultural confrontation
Open Web Knowledge Aided Information Search and Data Mining

Network big data refers to the massive data generated via interaction and fusion of the ternary human-machine-thing universe in the cyberspace and available on the Internet.It has a few typical features,such as multi-sourced,heterogeneous,interactive,bursty,and noisy.It contains mainly unstructured data,and has strong real-timeness. Network big data implicitly contains tremendous highly-interconnected knowledge.Building up open Web oriented large-scale knowledge bases is an effective means for obtaining rich knowledge from network big data.This paper compares both the domestic and international mainstream open Web knowledge bases.We specifically analyze the core techniques and methods for constructing open Web knowledge bases,fusing multi-sourced knowledge,and updating the knowledge bases.Furthermore,we summarize the research status and main issues of open Web knowledge base based information search,data mining,and system applications from different aspects,including user intension understanding,query extension,semantic QA,clue mining,relationship referencing,and prediction of relationships and attributes.Finally,we look into the development trends and main challenges of open Web knowledge bases.
Adaptive feedback for legal E-Learning

E-Learning is already actively applied in legal studies, with the acknowle dged resulting shortcoming of lack of interactivity and feedback (e.g. in the common use of lectures on DVDs). Even when multidirectional tools (such as discussion for ums, video conferences) are used, typically communication occurs between the teache r and a multitude of learners, but not amongst learners themselves. As a result , individualized tutoring and group-work between learners become difficult. This paper prese nts an adaptive generator of exemplary legal cases that aims to address both of the se aspects, i.e., provide individualised feedback and foster collaborative group learning.
CCR KVA Relief Through CVA: A Regression-Based Monte Carlo Approach

We present and examine, by example of a USD interest rate swap and a EUR/USD cross-currency basis swap, a regression-based Monte Carlo approach to counterparty credit default risk (CCR) capital and CCR capital valuation adjustment (KVA) calculations [assuming the standardized approach to counterparty credit risk for exposure-at-default (SA-CCR EAD) and the internal ratings-based (IRB) approach for CCR risk weights]. This approach allows to incorporate the capital lowering effect of credit valuation adjustment (CVA) in an efficient manner, without having to resort to lengthy nested Monte Carlo simulations. We find that the regression-based Monte Carlo approach works well in most situations. In other situations, the accuracy of the approach is sensitively controlled by the choice of explanatory variables. We discuss in detail the conditions and underlying dynamics under which this happens. In computing and presenting a selection of numerical examples, we also explore the impact of dynamic CCR risk weights on CCR KVA, and compare regression-based CCR KVA results with CCR KVA results from nested Monte Carlo, alternative frequently used CCR KVA simplifications, and standardized CVA KVA.
Generic model for international assembly instructions for special machinery assembly

Knowledge transfer is a tremendous task for the assembly of complex products while increasing the production share at a new location, because no or little experience about the new product’s assembly processes is available at the new site. Companies are facing high costs for exchanging trained and qualified workers to the new facilities in order to increase the knowledge and skill level of the partners of the abroad location (see Fig. 1). Increasing the knowledge level means in this context to enhance the theoretical understanding of the assembly and increasing the skill level means to expand the proficiencies in assembling a special product. Taking a multitude of cultural and organizational issues like mental models, different languages and software availability into consideration, the task of knowledge transfer gets complex.
A New Rymon Tree Based Procedure for Mining Statistically Significant Frequent Itemsets

In this paper we suggest a new method for frequent itemsets mining, which is more efficient than well known Apriori algorithm. The method is based on special structure called Rymon tree. For its implementation, we suggest modified sort-merge-join algorithm. Finally, we explain how support measure, which is used in Apriori algorithm, gives statistically significant frequent itemsets.
Kinect Somatosensory Interaction Technology and Its Application in Medical Rehabilitation(review)

The system structure,working principle and main function of Kinect somatosensory interaction technology are presented in this paper.The feasibility of Kinect sensor using software libraries provided by Kinect for Windows SDK to interact with the application program is discussed.The present situation and development trend of Kinect somatosensory interaction technology in medical rehabilitation are introduced.
Raw data simulation of De-chirp LFM-CW SAR

Based on the characteristics of De-chirp LFM-CW SAR signals,the signal model is analyzed firstly.Then a fast raw data simulation algorithm based on FFT is presented according to the given signal model,with the same data precision,the computation burden is reduced significantly compared to the time domain direct adding algorithm.The algorithm is proved valid by the analysis of the compressed image of raw data simulated.
Complex network demonstration—China Education Network

By searching the documents of the domain name.edu. cn in China Education and Research Network,this paper sets up a complex directed network constructed by 366 422 web pages with 540 755 URLs.These documents are parts of four different levels,and they constitute a complex directed network by self_organization. Most of the vertices have incoming links,and a few vertices have outgoing links,those vertics which have both incoming and outgoing links are very few.The vertex distribution has a power_law tails.New adding pages always connect with those pages selected from its sub_network,and they do not connect with the pages selected from the whole network.According to these features,the evolvement model of this complex directed network has been proposed.This model reflects some main characteristics of the China Education Network.
A Parallel Search on Hypercube Interconnection Network

: Parallel processing is one of the significant research subjects in the field of computer science. Today’s real time applications expect higher throughput approaches than years away. There are various problems that require search algorithms as a part of their base operations. Some parallel search algorithms are available albeit we always need to find faster ones due to the new born technologies. This paper introduces a new searching algorithm on hypercube architecture with a tradeoff between the numbers of processor elements and the running time.
Study on the Finger Vein Feature Extraction Algorithm

According to the features of human finger vein image,a finger vein feature extraction method based on dimensionality reduction idea is put forward.In this method,the vein feature extraction is carried out through searching for valley shape region that is formed by the vein of two dimension gray image on one dimension gray curve.In order to finish sufficient extraction of the finger vein feature,the image is enhanced by high frequency emphasis filter before feature extraction.The experiment results show that this method has particular idea.It is simple and easy to realize.The effect of finger vein feature extraction is satisfied.