Reviewerly/exHarmony huggingface dataset:
Quantum watermarking algorithm based on chaotic affine scrambling

In order to improve the security of watermark image, a scheme of quantum watermarking algorithm which is based on chaotic affine scrambling is proposed and it includes scrambling, embedding and extracting procedures. In the embedding process, the position and the color of the watermark image are scrambled by chaotic affine and the size of the scrambled watermark image is extended from [Formula: see text] to [Formula: see text]. Meanwhile, the color value of the pixel is changed from 24-bits to 3-[Formula: see text](1-bit per channel) bits. The extended watermark image is embedded into the carrier image through a two-bit embedding strategy, and the extraction process is the inverse one of the embedding process. The simulation results show that the proposed scheme is superior to the comparison scheme in terms of visual quality, peak signal-to-noise ratio (PSNR).
Assessing the Bias of Facebook's Graph API

Facebook research has proliferated during recent years. However, Facebook has introduced a new limitation on the maximum amount of page posts retrievable through the Graph API in November 2017 while there is limited documentation on how these posts are selected. This paper compares two datasets of the same Facebook page, a full dataset obtained before the introduction of the limitation and a partial dataset obtained after, and employs bootstrapping technique to assess the bias caused by the limitation. This paper demonstrates that posts with high user engagement, Photo posts, and Video posts are over-represented while Link posts are under-represented. Top term analysis reveals that there are significant differences in the most prominent terms between the full and partial dataset. This paper also reverse engineered the new API's ranking algorithm to identify the features of a post that would affect its odds of being selected.
SCHOOL PROBLEMS IN THE EDUCATION AND DEVELOPMENT OF GIFTED CHILDREN: PSYCHOLOGICAL ASPECT

Purpose of the Study: The urgency of the problem under investigation is because, the issue of gifted students’ education is one of the most difficult and interesting aspects of contemporary pedagogy. The purpose of the article is to identify the psychological characteristics of the gifted students’ development. In this article, the school difficulties of gifted students are revealed and the causes of internal and external nature are analyzed.&#x0D; Methodology: The leading approach to the study of this problem is a method of a theoretical analysis and synthesis of social, political, and psycho-pedagogical literature.&#x0D; Results: The main result of the study is a theoretical analysis of the relationship between learning and the development of gifted children and their psychological characteristics.&#x0D; Application:The materials of the article can be useful for teachers, students, and a wide range of readers interested in the problems of gifted students’ education. The authors pay special attention to the social and emotional consequences, which can be rather destructive if appropriate assistance is not provided by teachers, psychologists, and parents.
Integrated Smart Transportation using IoT at DKI Jakarta

As one of the worst city's traffic in the worlds, the transportation network system in Jakarta faces a lot of challenges challanges. The development of a transportation system is still very much needed, which must be based on a comprehensive analysis and systemic approach. The application of planning standards and implementation standards and transport regulations must be firm and indiscriminate. The integrated mass public transportation system must become essential to overwhelm the problems by implementing IoT. IoT opportunities are very extraordinary can be developed for the benefit to the community. Thus, it means promises a lucrative market share is beyond open to DKI Jakarta Province. The participation from all stakeholder is needed to support the development of smart transportation and encounter the agile challenges at DKI Jakarta as a smart city. Thus, in this study, an IoT-based Integrated Smart Transportation based in Jakarta is proposed. In addition, several challenges of implementation are also presented.
Reforming the Departmental Higher Education Institutions: A Critical Analysis

The results of the reform of Russian higher education widely discussed among the pedagogical and expert community are characterized by the ambiguity and inconsistency of assessments. Special attention should be given to the need and results of the reforming in relation to the departmental universities of the power block which ensure the implementation of the country’s security functions. The features of the organization of the educational process in the departmental higher educational institutions of the power block are presented on the example of educational organizations of the EMERCOM of Russia system, starting from the entrance examinations stage and ending with the employment of graduates. The article considers the main directions of reforming the Russian higher education institutions and presents a critical analysis of their implementation in relation to departmental educational organizations of higher education of the power bloc. The peculiarities of the activities of departmental educational organizations of the power block, the tasks to be solved and the functions performed related to the training of specialists in the field of ensuring the security of a country require a balanced approach from the government education authorities when implementing measures aimed at the maximum integration of the higher education system into the global education system.
PROSTATE CANCER DETECTION USING HISTOPATHOLOGY IMAGES AND CLASSIFICATION USING IMPROVED RideNN

Medical industry reports prostate cancer as common and high among men and alarms the necessity for detecting prostate cancer for which the required morphology is extracted from the histopathology images. Commonly, the Gleason grading system remains a perfect factor for grading prostate cancer in men, but pathologists suffer from minute inter- and intra-observer variations. Thus, an automatic method for segmenting and classifying prostate cancer is modeled in this paper. The significance of the developed method is that the segmentation and classification are gland-oriented using the Color Space (CS) transformation and Salp Swarm Optimization Algorithm-based Rider Neural Network (SSA-RideNN). The gland region is considered as the morphology for cancer detection from which the maximal significant regions are extracted as features using multiple-kernel scale-invariant feature transform (MK-SIFT). Here, the RideNN classifier is trained optimally using the proposed Salp–Rider Algorithm (SRA), which is the integration of Salp Swarm Optimization Algorithm (SSA) and Rider Optimization Algorithm (ROA). The experimentation is performed using the histopathology images and the analysis based on sensitivity, accuracy, and specificity reveals that the proposed prostate cancer detection method acquired the maximal accuracy, sensitivity, and specificity of 0.8966, 0.8919, and 0.8596, respectively.
READING COMPREHENSION PROBLEMS IN READING SECTION OF TOEFL TEST

This research aims to find out the reading comprehension problems faced by the eight semester English Education Study Program students of Universitas Bengkulu in Reading Section of TOEFL test. The subject of this research is eight semester students of English Education Study Program in academic year 2018/2019 who have taken TOEFL test in Language Laboratory, FKIP, Universitas Bengkulu. The subject of this research is 70 students of 79 students. This research was used descriptive quantitative as the methodology and the data was collected by using questionnaire as an instrument that distributed via Google-form. The questionnaire consisted of 20 statements which represent 5 aspects of reading comprehension problems by Wutthisingchai (2011). This research uses 4-point Likert Scale to measure students perception of reading problem, ranging from never (1 point), sometimes (2 point), often (3 point), always (4 point). The result shows that the majority of the students have problems in reading comprehension in 5 aspects. The percentage average of each aspect from highest to lowest was the reading comprehension problems related to the Reading Comprehension Process. Second problems is Motivation. Third problems related to Background Knowledge. Fourth related to Lack Reading Strategies. The last problems related to Language Knowledge. From the results, it can be concluded that students of the eight semester at English Education Study Program still have reading comprehension problems.Keywords: Reading comprehension problems, TOEFL Test
Spatial Domain Representation for Face Recognition

Spatial domain representation for face recognition characterizes extracted spatial facial features for face recognition.This chapter provides a complete understanding of well-known and some recently explored spatial domain representations for face recognition.Over last two decades, scale-invariant feature transform (SIFT), histogram of oriented gradients (HOG) and local binary patterns (LBP) have emerged as promising spatial feature extraction techniques for face recognition.SIFT and HOG are effective techniques for face recognition dealing with different scales, rotation, and illumination.LBP is texture based analysis effective for extracting texture information of face.Other relevant spatial domain representations are spatial pyramid learning (SPLE), linear phase quantization (LPQ), variants of LBP such as improved local binary pattern (ILBP), compound local binary pattern (CLBP), local ternary pattern (LTP), three-patch local binary patterns (TPLBP), four-patch local binary patterns (FPLBP).These representations are improved versions of SIFT and LBP and have improved results for face recognition.A detailed analysis of these methods, basic results for face recognition and possible applications are presented in this chapter.
Inductive Theorem Proving in Non-terminating Rewriting Systems and Its Application to Program Transformation

We present a framework for proving inductive theorems of first-order equational theories, using techniques of implicit induction developed in the field of term rewriting. In this framework, we make use of automated confluence provers, which have recently been developed intensively, as well as a novel condition of sufficient completeness, called local sufficient completeness. The condition is a key to automated proof of inductive theorems of term rewriting systems that include non-terminating functions. We also apply the technique to showing the correctness of program transformation that is realised as an equivalence transformation of term rewriting systems.
A STUDY ON PSYCHOLOGICAL CAPITAL BY A METHOD OF SEMANTIC DIFFERENTIAL

Purpose of the study: The purpose of the study is to create and to test a method based on the principles of semantic differential and to check the level of its consistency with the method of PsyCap.&#x0D; Methodology: The study was conducted in Ukraine, at the first stage, there were 112 adult participants, where 52 were men and 60 were women. The second stage involved 69 people who were getting second higher education. For the purpose of mathematical and statistical processing of the obtained data, the SPSS 21 program was used, factor analysis and correlation analysis were performed.&#x0D; Main Findings: The conducted research made it possible to reveal the semantic space of the "work" concept, and to distinguish four main factors: stability, effectiveness, relations in the team and discipline. They do not coincide with the parameters of the PsyCap, which include self-confidence, the ability and willingness to make efforts to successfully accomplish complex tasks - that is efficiency; optimism - a positive attributive style regarding the success of current and future activities; hope - vision of the perspective, purposefulness in the construction of activity; resilience - ability to overcome difficulties, solve problems in the process of achieving the goal.&#x0D; Applications of this study: The study could be useful for HR-specialists, psychologists, and employees in different spheres. In further research, it is desirable to continue the testing and standardization of the semantic differential "Attitude to work" and to conduct a cross-cultural study to find out if these factors of attitude to work are purely Ukrainian, or they are more general in nature.&#x0D; Novelty/Originality: Modern methods of studying psychological capital are cumbersome and unprotected from the influence of socially desirable responses. Therefore, there was a need to create a smaller procedure based on the principles of the semantic differential.
Geochemical mapping based on regularly spaced composite stream sediment samples produced from stored aliquots - State of Paraná Pre-Cambrian shield, Brazil

A collection of 6,587 active stream sediment samples covering about 4,800 km² in the Paraná Shield, southern Brazil was used to produce 75 composite samples each representing a 5’ x 5’ cell. The original samples were retrieved from the archives of the Geological Service of Paraná - MINEROPAR and the Geological Service of Brazil - SGB / CPRM. The composite samples were submitted to four analytical methods with the determination of 66 elements. Geochemical maps of the isolated elements along with bivariate correlation analysis showed six associations between elements, each representing specific lithologies and at least one area with high exploratory potential, which was previously unknown given the small amount of elements analyzed in the original samples. The geochemical maps were produced either by cell classification (pixel maps) or by the application of the minimum curvature interpolation method, considered as the best interpolator for the generation of the isograd maps (vector maps). The comparison between composite and original samples showed that, even with different analytical techniques, the element contents of the composite samples are similar to the average of the contents in the original samples on each cell. The results obtained allow us to recommend the adoption of this set of procedures in stream sediment sample collections covering large areas, with at least three advantages of: (a) eliminating field costs by retrieving already collected and archived samples, (b) reducing the amount of samples to be analyzed and (c) minimize any positioning errors of sampling sites collected before the advent of GPS equipment. The verification and detailing of the areas of interest evidenced by this procedure can be done easily with the analysis of the original samples still stored in the collections.
Implementation of a two-qubit state by an auxiliary qubit on the three-spin system

The method for preparation of a two-qubit state on two spins-1/2 that mutually interact through an auxiliary spin is proposed. The essence of the method is that, initially, the three spins evolve under the action of an external magnetic field during a predefined period of time. Then, the auxiliary spin is measured by a monochromatic electromagnetic radiation that allows obtaining a certain state of the remaining spins. We study the entanglement of this state and obtain the condition for achieving the maximally entangled state. The implementation of the method on the physical system of nuclear spins of xenon difluoride is described. As a results, the conditions which allow preparing the maximally entangled state on this system are obtained.
Legal and ethical implications of applications based on agreement technologies: the case of auction-based road intersections

Agreement technologies refer to a novel paradigm for the construction of distributed intelligent systems, where autonomous software agents negotiate to reach agreements on behalf of their human users. Smart Cities are a key application domain for agreement technologies. While several proofs of concept and prototypes exist, such systems are still far from ready for being deployed in the real-world. In this paper we focus on a novel method for managing elements of smart road infrastructures of the future, namely the case of auction-based road intersections. We show that, even though the key technological elements for such methods are already available, there are multiple non-technical issues that need to be tackled before they can be applied in practice. For this purpose, we analyse legal and ethical implications of auction-based road intersections in the context of international regulations and from the standpoint of the Spanish legislation. From this exercise, we extract a set of required modifications, of both technical and legal nature, which need to be addressed so as to pave the way for the potential real-world deployment of such systems in a future that may not be too far away.
Apply Blockchain to Overcome Wi-Fi Vulnerabilities

Public free Wi-Fi is now available in many places.The airport, hotels and cafes all offer free Internet access as an additional benefit of using the service.It's really good for many people to have free access to the Internet.In particular, office workers who frequent business trips or work outside of the country can send e-mails via free Wi-Fi or share documents online.However, contrary to the opinion of most Internet users, using public Wi-Fi is quite dangerous, and most of the wireless Internet's also associated with people trying to make mid-term attacks Middleman Man refers to the communication with the Middle of malice [1-3].There are two, in, and various types of intermediary attacks that people intercept between groups, but the most common method is to intercept a user's request to access a website and send a response to a fraudulent webpage that appears to be legitimate.For example, a hacker who intercepts her communications to an email that Alice is about to access may use a private conversation to trick users into entering important data into a fake website, since there are many cases where her hacker receives Alice's information and login, such as phishing a contact email to a list of more malicious acts, such as sending her password to a list of the Wi-Fi.This wireless Wi-Fi system has many vulnerabilities.Therefore, this paper proposes blockchainbased Wi-Fi service for safe and fast communication using blockchain technique. II. Related ResearchThis paper deals with the weak points in Wi-Fi's wireless communication and the improvements in blockchain and various problems.Also, the concept and characteristics of blockchain are reviewed to deal with the direction of overcoming vulnerabilities in the use of open blockchain and certain blockchain services in order.Also, the Wi-Fi system, blockchain system, and blockchain application methods are studied in advance [4][5][6]. Wi-FiWi-Fi is a technology that allows electronic devices to connect to a wireless LAN (WLAN), mainly using the 2.4 gigahertz (12-centimeter) UHF and 5 gigahertz (6centimeter) SHF ISM radio bands.Although wireless LANs are generally password protected, they are also open to any device located within the band to access the resources of the wireless LAN network.
Lexical simplification approach using easy-to-read resources

This work aims to facilitate the understanding and readability of Spanish texts in a generic domain through the design of a lexical simplification system that provides support to the task of Complex Word Identification (CWI) and selection of a simpler substitute. Considering the limited resources available in Spanish, we explore different features that allow us to discern between a complex word and a simpler one. Some of these features are obtained from easy-to-read resources. The evaluation shows good results by obtaining an F1-Score of 0.7497 on the CWI Task with the BEA Workshop 2018 competition’s dataset.
Large-Scale Video-Based Person Re-identification via Non-local Attention and Feature Erasing

Encoding the video tracks of person to an aggregative representation is the key for video-based person re-identification (re-ID), where average pooling or RNN methods are typically used to aggregating frame-level features. However, It is still difficult to deal with the spatial misalignment caused by occlusion, posture changes and camera views. Inspired by the success of non-local block in video analysis, we use a non-local attention block as a spatial-temporal attention mechanism to handle the spatial-temporal misalignment problem. Moreover, partial occlusion is widely occurred in video sequences. We propose a local feature branch to tackle the partial occlusion problem by using feature erasing in the frame-level feature map. Therefore, our network is composed by two-branch, the global branch via non-local attention encoding the global feature and the local feature branch grasping the local feature. In evaluation, the global feature and local feature are concatenated to obtain a more discriminative feature. We conduct extensive experiments on two challenging datasets (MARS and iLIDS-VID). The experimental results demonstrate that our method is comparable with the state-of-the-art methods in these datasets.
A Brief Overview of Data Mining and Analytics in Games

The twenty-first century has been repeatedly proclaimed to be the century of data. The increasing processing capabilities of computers and the proliferation of Internet-enabled devices have made it easier than ever to gather more and more data about 2every aspect of our daily lives. The massive amount of data produced every day, however, also needs to be transformed into actual information and knowledge to be of real value and to be of actual use for decision-making. This requires adequate techniques and tools that help uncover hidden and valuable information or patterns within the collected data. Otherwise, the large volumes of data are just that—data bare any deeper meaning. This is the goal of data mining (Kantardzic, 2011). While data mining has been and is receiving considerable attention to be able to cope with the ever-increasing data volumes, the term started to appear in the late 1980s, early 1990s (Coenen, 2011; Dong & Pei, 2007). Data mining is not a single technique but rather a conglomerate of methods, techniques, and algorithms, usually applied in an iterative or explorative process.
A Proposal of Matching Algorithm for New Type of Advertisement Business Model

Modern lifestyles have been dramatically changed by recent ICT development. As for the marketing field, enterprises tend to use video advertising because of its effectiveness. On the other hand, the number of content producers increases these days, since new work phenomenon the ‘YouTuber’ appears as strong medium for advertising. Therefore, both demand and supply are increasing in this video advertising field. This paper analyzed such trend of increasing situation and proposed new type of business model including matching function architecture between enterprises and content producers for video advertising. Secondly, matching algorithm based on the calculation of relativity between them is proposed and this feasibility is evaluated.