Reviewerly/exHarmony huggingface dataset:
All that Glitters is not Gold: The Regulation of Virtual Currencies in the New EU V Anti-Money Laundering Directive

The purpose of this article is to provide a first comment to the new provisions on virtual currencies included in the European Union Directive 2018/843, amending Directive 2015/849 on the prevention of the use of the financial system for the purposes of money laundering or terrorist financing, known as Fifth Anti-Money Laundering Directive. The Directive requires States to include, among the obliged entities to respect anti-money laundering and counter-terrorism financing requirements, such as ‘knowyour-customer’, the ‘providers engaged in exchange services between virtual currencies and fiat currencies.’ To the big dilemma: ‘to regulate or not to regulate’ virtual currencies, including Bitcoins, the EU answered that yes, we must regulate. However, what is the meaning of regulating Bitcoins? After presenting what VC are and which challenges they pose to international law, I will argue that regulation is fundamental in order to avoid the exploitation of these currencies for the purposes of money laundering and terrorism financing, but that, at the same time, regulation as it was conceived at EU level might pose numerous challenges because it only concerns the moment in which the ‘real’ world meets the ‘virtual’ one, and is applicable only to the obliged entities that fall under the scope of the EU legal instrument.
E-governance is an entry point for social interaction An analytical study in Ninawa Medical College

This study dealt with the subject of electronic administration as an input to social interaction. I have been tested at Ninawa Medical College. The study was applied to the study population, representing 83 members of the heads of scientific departments and administrative divisions. The questionnaire was used as a main tool for collecting data and information as well as personal interviews. It has sought to test a number of hypotheses related to correlation and influence relationships between the variables of the study, in order to answer questions about the problem and reach the objectives set.            In order to process data and information, many statistical methods were used: Mann Whitney and Kruskal-Waills (Kruskal-Wills). The study reached a number of conclusions, including the availability of electronic management dimensions in Ninawa medicine, In this faculty, as well as the existence of significant correlation between them and the existence of a significant impact of electronic management in social interaction, and these results were identical with the assumptions in this aspect.Based on the findings of the study, a set of recommendations were developed. The most important of these was the necessity of the college's attention to the variables of electronic administration because of their role in achieving the social interaction of this college.
Quantum Computing using MAGIC with Trapped Atomic Ions

A programmable quantum computer based on trapped ions interacting via magnetic gradient induced coupling (MAGIC) together with elements for scaling quantum computing - transport of ions and a novel trap for 2D ion arrays - are reported. © 2019 The Author(s)
НЕЙРОФІЗІОЛОГІЧНЕ ПІДҐРУНТЯ СИМВОЛДРМИ ЯК ПСИХОДИАМІЧНОГО НАПРЯМКУ ПСИХОТЕРАПІЇ

The article is devoted to theoretical analysis of the neurophysiological basis of theimagination technique of psychodynamic psychotherapy. Brain structures that areinvolved in creating and maintaining an image of an object that is not currently presentor was not present in the subject's sensory field has been described. The Default modenetwork is considered as a probable substrate of Guided Affective Imagery in particularand psychotherapeutic changes in general. The process of Guided Affective Imagery ischaracterized, which allows to implement recontextualization and re-consolidation ofpast experience.Guided affective imagery (GAI) is a hierarchically organized and structuredsystem of techniques and principles of psychotherapeutic use of imagination. Guidedaffective imagery is a psychodynamic psychotherapy, which makes unconsciousmotivations, conflicts and defense mechanisms visible with the aid of images fromwithin and deals with these unconscious matters.The process of imagination is based on the ability of brain neurons to create andmaintain an idea of ​​an object, that is currently not present in the sensory environment ofthe subject, and also to combine the previously obtained perceptual images to create theoriginal products.The process of imagination involves the structure of the left temporal particle, theprefrontal and parietal region up to the temporal particle of the brain. The idea of ​​thepoint of view of others and the creation of imagery (imagination) are specific cases of amore general process of self-projection, that involves the medial, parietal and frontallobe, or the Default mode network (DMN) .The Default mode network is probably the ground for psychotherapeutic changesin general, and the psychotherapeutic process can modulate these brain structures.Guided affective imagery is able to enhance the psychotherapeutic process byactivating the primary process and positive emotions. Guided affective imagery providesconditions for the establishment of such therapeutic relationship, which makes possiblethe recontextualisation and reconsolidation of past experience. The result is a new set ofimplicit memories, so person operates on the basis of another psychic landscape, whichleads to a new behavior and a new experience in the present and future.
Robust Facial Landmark Detection in the Wild

Facial landmark detection is a well-studied topic in the field of computer vision that aims to find important key points in human faces. In the wild, the task is particularly challenging due to the high variability of shapes, expressions, poses, lighting conditions, and occlusions. This work presents a state-of-the-art approach to robustly solve the problem of facial landmark detection even under such difficult conditions.A key novelty of the presented approach lies in the fact that it is based on a fullyconvolutional architecture, making it invariant to translation. Translation invariance is particularly useful when a separate face detector is not available, desirable, or reliable (enough). Fully-convolutional architectures, however, suffer from a comparatively narrow receptive field. This shortcoming is mitigated by a novel implicit kernel convolution. Multiple experiments verify that the implicit kernel convolution improves both landmark detection performance and convergence speed in comparison to other state-of-the-art approaches. Moreover, a proof of concept for face detection-free landmark detection based on the novel approach is provided. High resolutions are handled by a pyramid-like multi-resolution fusion approach, whereas low resolutions are handled by a super resolution mechanism. The presented approach therefore constitutes a generalizable way of robustly detecting facial landmarks in the wild.
Lightwave Driven Valleytronic Qubit Flip

We demonstrate a flip of the valley pseudo-spin in a tungsten-diselenide monolayer on a sub-5fs timescale using strong terahertz fields. The resulting sideband emission reveals Coulombic many-body effects. © 2019 The Author(s)
Mutual Tenure Headed For the Cloud

In this paper, we first formally characterize a thought of shared possession inside a document get to control display. We at that point propose two conceivable instantiations of our proposed shared possession display. Our first arrangement, called Commune, depends on secure document dispersal and plot safe mystery sharing to guarantee that all entrance allows in the cloud require the help of a concurred limit of proprietors. As such, Commune can be utilized in existing mists without adjustments to the stages. Our second arrangement, named Comrade, influences the block chain innovation so as to achieve agreement on access control choice. In contrast to Commune, Comrade necessitates that the cloud can interpret get to control choices that achieve agreement in the block chain into capacity get to control rules, in this way requiring minor alterations to existing mists. We examine the security of our proposition and look at/assess their execution through usage utilizing Amazon S3.
Implementing Business Processes in JaCaMo+ by Exploiting Accountability and Responsibility

In this demo paper we exemplify a business process programming approach that provides proper abstractions for capturing goals and relationships between the actors. To this end, we propose a paradigm shift from a procedural (activity-oriented) to an agent-based approach, where the agent technology is the means through which processes are implemented, while relationships are based upon two fundamental concepts in human organizations: responsibility and accountability. Specifically, we discuss how a business process specified via accountability and responsibility relationships can be implemented in JaCaMo+, an extension to the well-known JaCaMo agent platform in which social commitments are made available as programming constructs.
Breakdown of Non-Hermitian Hamiltonian for Correlated Multi-photon Transport Due to Reservoir-induced Correlation Changes

We present a theoretical analysis of multi-photon transport in the presence of reservoir, and unearth the breakdown of widely adopted non-Hermitian Hamiltonian descriptions in the dissipative regime due to reservoir-induced changes of correlations. © 2019 The Author(s)
AN INTRUSION DETECTION AND AVOIDANCE MECHANISM TO SECURE MANETS

Maximum of research study in securing mobile adhoc networks (MANETs) has motivated on suggestions which detect and inhibit a particular kind of attack such as sleep deprivation, blackhole, greyhole and rushing attacks. In this paper we propose a generalized intrusion detection and avoidance mechanism. We use an arrangement of anomaly based and knowledge-based intrusion detection. This methodology not only secures MANET from an extensive range of routing assaults but also has the proficiency to detect new unexpected attacks. Simulation outcomes of a case study show that our suggested mechanism can successfully distinguish a variety of attacks, comprising multiple concurrent dissimilar attacks, detect and separate the intruders with an reasonable network overhead
Voltage controlled fine-structure splitting of single photon emitters in a two-dimensional semiconductor

We report on the modulation of the fine-structure splitting (FSS) of quantum dot-like emitters in a two-dimensional semiconductor. Voltage-controlled suppression of the electron-hole exchange interaction features a 40% increase in circular polarization with decreasing FSS. © 2019 The Author(s)
Effect of facebook on our society

This paper briefly introduces about facebook and also examines how the facebook can help in our society. The availability of new social networking sites is an opportunity for users. In Today's time every person wants to talk with other person within short time and minimum cost. This paper will include the study of facebook how they are helpful for users. The objective of study is: to understand the role of facebbok in social networking sites and To study the growth and performance of facebook. In this paper some suggestions are given and cope up with existing challenge of using facebook. The finding of the study suggests that using of facebook is unavoidable event. The purpose of this paper is to provide a framework for commonly used and misused terminology.
The Effectiveness of Herringbone Pattern to Improve Students’ Reading Comprehension on News Item Text at the Eleventh Grade of MAN 3 Banjarmasin

This research aimed to find out whether Herringbone pattern can improve students’ reading comprehension or not at the eleventh grade of MAN 3 Banjarmasin. Herringbone pattern is known to be one of techniques that can help students to find the main idea in a text, especially in news item text. The sample of this research was 64 eleventh grade of senior high school students in XI IIS 1 as an experiment class and XI IIK 2 as a control class, and each class consists of 32 students. The researcher employed purposive sampling to choose the sample, and did a quantitative research with a quasi-experimental method. The result of the research showed that based on the average score of students’ reading comprehension in experiment class was 90.93 for the post-test which categorized very good and the control class was 85.00 also in very good categorized. Based on the research, there was a significant difference score on students’ reading comprehension test by using Herringbone pattern in teaching news item text. In the table of significant, it can be seen that on the df = 62 and the degree of significance 5% the value of significant degree is 2.000. By comparing the value, based on T-test, t count is higher than t table (2.528 > 2.000). Therefore, it can be understood that teaching reading by using Herringbone pattern can improve students’ reading comprehension of news item text. It also means that using Herringbone pattern in teaching students’ reading comprehension of news item text is effective. Finally, the alternative hypothesis (Ha) is accepted and null hypothesis (Ho) is rejected.
Problem Solving Personas of Civil Engineering Practitioners using Eye Tracking Techniques

Engineering practitioners solve problems in various ways; it is plausible that they often rely on graphs, figures, formulas and otherrepresentations to reach a solution. How and why engineering practitioners use representations to solve problems can characterizecertain problem-solving behaviors, which can be used to determine particular types of problem solvers. The purpose of thisresearch was to determine the relationship between time spent referring to various representations and the justifications for thedecisions made during the problem-solving process of engineering practitioners. A persona-based approach was used to characterizethe problem-solving behavior of 16 engineering practitioners. Utilizing eye tracking and retrospective interview techniques, theproblem-solving process of engineering practitioners was explored. Three unique problem-solver personas were developed thatdescribe the behaviors of engineering practitioners; acommittedproblem solver, anevaluativeproblem, and anindecisiveproblemsolver. The three personas suggest that there are different types of engineering practitioner problem solvers. This study contributesto engineering education research by expanding on problem-solving research to look for reasonswhydecisions are made during theproblem-solving process. Understanding more about how the differences between problem solvers affect the way they approach aproblem and engage with the material presents a more holistic view of the problem-solving process of engineering practitioners.
Gesture recognition using RF signals

Gesture recognition is gaining increasing importance in Human-Computer Interaction (HCI). Gesture-based interaction serves as a convenient and natural means for users to interact with computers. However, accurate detection and recognition of human actions is still a big trial that attracts lots of research efforts due to the difficulties related to the human body parts and the difficulty in sensing their actions correctly such as human clothes and their negative consequence on the detection accuracy and the surrounding environmental conditions. Vision centered human activity analysis by means of computer vision as the original answer is still having its limits that are connected to the inability to detect whatsoever happening behind the walls or in the dim places and the uncomfortable feeling of people with cameras all over the place. This paper proposes a methodology that will use RF signals to overcome all the disadvantages of the mentioned methods.
An improved SVM web page classification algorithm

This study explored an indepth support vector machine(SVM) classification algorithm suitable for high-dimension computing. An improved SVM algorithm was proposed aiming at two kinds of classical kernel functions of support vector machine. The global kernel function and the local kernel function were weighted into a new mixed kernel function, and the genetic algorithm was used to optimize the function parameters. The improved algorithm avoided the limitation of a single kernel function, taking into account the generalization and learning abilities of the text classification algorithm. Simulation experiments of the collected web pages confirmed the effectiveness of improved SVM algorithm.
A Bi-level Image Segmentation Framework Using Gradient Ascent

In order to solve the problem ofLi, Cheng under-segmentation in traditional superpixel methods, a new image segmentation framework is proposed, which is based on gradient ascent including SimpleGuo, Baolong Linear Iterative Clustering (SLIC) superpixels and watershed algorithm. First, SLIC method is adopted to generate uniform superpixels, which are then determined whether under-segmentation occurs by a homogeneity criterion. In heterogeneousGuo, Xinxing regions, an adaptive watershed algorithm processes a more precise division based on luminance histogram. ExperimentalYang, Yulin results show that the bi-level framework has good performance on detail-rich regions, without significantly increasing the time complexity compared with conventional SLIC.
Terminology, Power and Offensive Language

This document argues for and describes alternatives that shiftspecific language conventions used by RFC Authors and RFC Editors toavoid offensive terminology in the technical documentation of the RFCseries. Specifically, this document details two sets of terms that arenormalised on the technical level but offensive on a societal level.First, arguments are presented for why any offensive terms should beavoided by the IETF/IRTF. Second, problem statements for both sets ofterms are presented and alternatives are referenced and proposed.There is a third section on additional considerations and generalaction points to address the RFC series, past and future. Lastly, asummary of recommendations is presented.
머신러닝을 이용한 에너지 선택적 유방촬영의 진단 정확도 향상에 관한 연구

Although digital mammography is a representative method for breast cancer detection. It has a limitation in detectingand classifying breast tumor...
SERIOUS PLAY: Software Project Pool

Software project pool game is a simulation of a process for bidding software projects. Such a game is created by using Shark Tank™ game elements and by applying a metaphor about software project bidding. Schedule, budget, specialty areas, and competencies are important factors for hiring a software company. The game comprises rounds and each round have pitches for acquiring software projects.
Autonomy and the Swedish Torts Act – Historical Lessons in the Face of Robotics

In the creation of the Swedish Torts Act of 1972, questions of autonomy were raised and discussed in a number of different ways. Its treatment here and in the writing of several important legal scholars in the period between the 1864 Penal Law and the new Torts Act offers several valuable insights into the problem of autonomy and tort law today, not least concerning robotics and AI. This essay argues that changing views of autonomy and its role in notions of justice played a major part in the development of tort law between 1864 and 1972. The original line of thinking, here presented through the work of Richard Carlen would over the decennia come to be compromised in three stages. First, the idea that a person could act otherwise was compromised by developments in penal law theorizing around freewill, most explicitly as laid out by Johan Thyren. This obliterated the notions of justice prevalent in older tort law. Second, the idea that tort as its most important feature had a decisive preventive effect, as advocated by Vilhelm Lundstedt and (in part) by Hjalmar Karlgren, was compromised by the realization that even where no measure of prevention could have made it possible to avoid damage, there remained the problem of reparation. This required the legislator to place tort in a wider economic perspective. Third, Ivar Strahl's groundbreaking ideas prompted a realization that even when the tort law could designate a tortfeasor whose liability was motivated by preventive aspects, the economic realities of society required the co-existence of tort with insurance. All this served to downplay the importance of autonomy in the Torts Act of 1972. As the EU moves to legislate on the tort liability for damage caused by robots (and perhaps, further down the road, the tort liability of the robots themselves), an insight to be drawn from the creation of the Swedish Torts Act is that the downplay of autonomy and personal responsibility seems to have continued, and that perhaps the only coherent reason to maintain tort liability will at some point be the same irrational notions of justice that were only reluctantly conceded to by the thinkers contributing to the Swedish Torts Act. (Less)
Fuzzy Triangle and Fuzzy Trigonometry

The counterpart of a crisp triangle, C, in Euclidian geometry, is a fuzzy triangle. It is helpful to visualize that a fuzzy transform of C as the result of execution of the instruction—Draw C by hand with an unprecisiated spray pen. Here the fuzzy-transformation is an one-to-many function. In this chapter, concepts about fuzzy triangle, fuzzy triangular properties and some basics of fuzzy trigonometry (Ghosh and Chakraborty 2018) are proposed.
COMPARATIVE CHARACTERISTICS OF SOFTWARE SYSTEMS FOR ANALYSIS AND PROCESSING OF SPEECH SIGNALS USING WAVELETS

Objectives. This article is devoted to the problem of processing and analysis of speech signals on the basis of the wavelet transform method, which has become one of the most relevant in recent years. Method. The growing relevance and undoubted practical value became the reason for the emergence of a large number of software systems that allow the processing of speech signals on the basis of this method. However, each of these systems has significant differences in the interface provided by the processing tools, functions, has a number of advantages and disadvantages. At the moment, a large number of manuals and recommendations for specific software packages have been written, but these materials are fragmented and unsystematic. Result. This article attempts to systematize the theoretical material and describe the similarities and differences, advantages and disadvantages of the three most popular software systems: 1) MATLAB 6.0/6.1/6.5 Wavelet Toolbox 2/2.1/2.2; 2) Mathcad; 3) Wavelet Explorer of Mathematica. Conclusion. This article will be useful for specialists dealing with the problem of speech signal processing using the wavelet transform method, as it contains material that has practical value, and will allow to facilitate the work of a specialist related to the selection of the optimal for the implementation of a specific task of the software complex.
Trustworthiness of Cloud Service Provider and Efficient Third Party Auditor in Cloud Computing using Access Control

One of the advanced rising technology is Cloud computing. The storage of information could be a massive complication for bushed this world. the simplest associated quickest storage and retrieval of information is an economical answer for Cloud computing. The main issue in cloud computing is security. Present study developed model which helps the new user in comparing the different services provided by different Cloud Service Providers. It works on quality of service (QoS), which plays the vital role in the selection of best CSP. Before this study, many tools were developed, but they did not focus on Quality of Service (QoS). This model assists cloud customer in assessing cloud providers trustworthiness based on predefined trust attributes such as business factors, Quality of Services attributes and the 11 security control domains defined by the CSA. In this study, a mechanism is designed through which integrity of Third Party Auditor is checked with the help of access control. Security is the main concern for the development of the proposed system.