Reviewerly/exHarmony huggingface dataset:
Alexander G. Zakharov – the first directorof the RAS Library for Natural Sciences. On the occasion of his 100th anniversary

The article is dedicated to the memory of the first director of the Library of Natural Sciences of the Russian Academy of Sciences (before 1991, the USSR Academy of Sciences). The Library for Natural Sciences was established in 1973 on the basis of the Sector for Special Libraries (in charge of collection development of Moscow research institutes and of their union catalog maintenance). The Library for Natural Sciences was conceived as an information library center focused on science and research information support based on modern technologies. Alexander Grigorievich Zakharov, newly-retired military professional, Lieutenant General, headed the library. In the shortest time possible, Alexander Zakharov built the centralized library system headed by the Library for Natural Sciences and meeting the demands of the time. For many years the Library’s Centralized Library System has been the largest and most developed network; the Library has been the leader in library automation based on the newest computer and network technologies. The authors have been working for the Library for over 40 years, and over 30 years under the leadership of Alexander G. Zakharov. They review the main stages of Zakharov’s career: the Great Patriotic War (he went through the war from beginning to end), his service at cosmodrome of Baikonur (launch operations, including support of Yury Gagarin’s flight), his work in the Library for Natural Sciences.
GEOGRAPHIC EDUCATION IS INTERESTING!

The article diskusses the problematic issues of obtaining continuing geographical education in a modern russian school and also dives an example of personal experience of inclusion in the educational prozess (distance learning)
MARGIN OF ECONOMIC FREEDOM IN THE GCC: IS IT ENOUGH TO ATTRACT FDI

The paper aims to examine the determinants of Foreign Direct Investment in the Gulf Cooperation Council and explore whether the margin of economic freedom in the GCC is enough to attract FDI from the period 2000-2018.The data was collected from secondary sources of the World Bank databases and the United Nations Conference on Trade and Development.To explain the link between FDI and economic freedom in the long and short run, the study used different models of cointegration including VECM, FMOLS, DOLS, FMLS.The study found that there exists a long relationship between FDI and Gross Domestic Product (GDP) per capita, gross fixed capital formation, inflation, degree of openness and economic freedom.The degree of adjustment was found to be 0. 37 percent, meaning that any deviation for FDI from its long run path will be corrected by 0.37 percent each year.The study also confirmed that GDP per capita, and gross fixed capital formation, and degree of openness have a positive impact on FDI, whereas inflation and economic freedom have a negative impact.The implication of the study is that the margin of economic freedom in the GCC is not that large enough to attract more FDI.The GCC must introduce many policy and institutional reforms to attract more FDI which will facilitate the economic diversification of the GCC economies and foster their economic growth and development.
ANALISIS PROYEK APLIKASI COSTUMER RELATIONSHIP MANAGEMENT STUDY KASUS XYZ BODYCARE

Aplikasi Customer Relationship Management (CRM) adalah salah satu dari aplikasi Teknologi Informasi yang merupakan aplikasi strategi bisnis untuk memilih dan menjaga customer, dapat mengoptimalkan nilai jangka panjang, dapat menyimpan filosofi customer centric business dan budaya untuk mendukung efektifitas marketing, sales dan proses servis. Membangun aplikasi Customer Relationship Management (CRM) yang baik harus mengikuti prosedur proyek yang benar yaitu didahului dengan pembuatan proposal untuk menguraikan semua keperluan yang akan diimplementasikan pada pembuatan aplikasi dimaksud. Pada penulisan ini penulis meyusun proposal Aplikasi Customer Relationship Management untuk Xyz BodyCare yang diuraikan secara rinci tentang Ruang lingkup aplikasi yang akan dibangun (Scope), fungsi-fungsi yang akan dibuat yang digambarkan dengan Work Breakdown Structure (WBS), jadwal pelaksanaan , sumber daya , rencana biaya , analisis risiko dan bentuk perubahan manajemen bila aplikasi tersebut siap dioperasikan. Proposal ini diharapkan mampu memberikan masukan untuk membangun aplikasi Customer Relationship Management (CRM) tersebut dan akan diusulkan pada Xyz BodyCare untuk dapat dipakai dan diterapkan.&#x0D; Kata kunci: Analisa Proyek Sistem; Customer Relationship Management; CRM; Sistem Informasi; Xyz BodyCare&#x0D; Abstract: Customer Relationship Management (CRM) Application is one of the application in IT wich is as the bussiness strategy to choose and keep customer, and it can optimize long Term value, it can save the philosopy of customer centric bussiness and culture to support the effectivity of marketing , sales and the process of customer service. Building the good aplication of Customer Relationship Management (CRM) should follow the right procedure project, which preceded by making the proposal to devide all stuffs that implemented and connected to the process of making the aplication. In this text writer arrange the proposal of application in Customer Relationship Management (CRM) for Xyz BodyCare which devided in detail about the scope of the application that built. The funtions that will be created described by the Work Breakdown Structure (WBS), the schedule, the source, the cost, the analysis of the risk, and the form of management change when the application is ready to operate.This proposal expected to be able to provide input to built the application of Customer Relationship Management (CRM) and will be prosposed to Xyz BodyCare to be used amd applied.&#x0D; Keywords: System Project Analysis; Customer Relationship Management; CRM; Sistem Informasi; Xyz BodyCare
Study the Linear Equivalent of Nonlinear Sequences over &lt;i&gt;Fp&lt;/i&gt; Where p Is Larger Than Two

Linear orthogonal binary sequences, special M-Sequences, are used widely in the systems communication channels as in the forward links for mixing the information on connection and as in the backward links of these channels to sift this information which transmitted and the receivers get the information in a correct form In current research trying study the construction of the linear equivalent of a product sequence on two, three, and four degrees over a linear sequences from the field Fp, where p is larger than two, and answering on the request, how is the maximum length of the linear equivalent of a product sequence (on a linear sequence {a n } over the field Fp), is it less than r N h as the binary sequences?, or can reach it ?, or the length is exceed this value r N h ?And is the product sequences are orthogonal?And we show that in some cases, the maximum length r N h for the binary sequences is not correct for the linear sequences in the finite field Fp for p larger than two and the result product sequences are not orthogonal, also trying study the product sequence on two different LFSRs, and how can use one shift feedback shift register LFSR as a monitor register of other p registers.In the current time, I think, there is no coders or decoders using the sequences over finite fields Fp where p is larger than 2 and from this idea this article showing very need for using in the future.
A Context Aware Job Information Real-Time Delivery Framework for Pervasive Environment

Context-aware systems are getting rapid popularity towards enabling a pervasive computing environment over hand-held mobile devices, wearable devices, and Tablets. These systems deliver services tailored to the specific needs and user’s context. The context-aware system services can utilize information about the user’s context to adapt services based on the user’s location. The prime aim of this research paper is to investigate and analyse the critical issues and challenges while delivering the job information to the job seekers when they migrate from one place to another in search of jobs. In addition, the research also tries to investigate the challenges faced by employers/ job providers when they search and recruit the right person for the right jobs. In this paper the issues and challenges investigated and analysed were timeliness of information dissemination, opportunity missing, fake/genuine information, anywhere, anytime accessibility over small handheld devices. After rigorous analysis of the investigated issues and challenges in the existing state of art employment/job information dissemination systems, a real-time context-aware employment information delivery system framework for the pervasive environment is proposed. The research parameters considered are Preference of Job seekers, Location of Jobs, Context, Qualification, CGPA, Experience, everywhere access at any time, and Identity. The paper used both the quantitative and qualitative approaches for proposing a research-based applied solution. Survey of job seekers, Interview of recruiters, and technical observation of the researcher are used for collecting the relevant facts to check the researchability of the issues and challenges. Protégé version 4.3 is used for modelling, Edraw-Max for designing the framework, Google Form for Survey, and Justin mind tool for Prototype design and testing. The framework and its Prototype was examined using a user acceptance test. The acceptance test indicated that 84.6% of target stakeholders accepted the proposed system framework as a new knowledge solution for the aforementioned issues and challenges in the employment sectors
PROFESSIONAL TRAINING OF A CREATIVE MANAGER OF THE ECONOMIC BRANCH

The purpose of the article is to analyze the important tasks of training the future manager of the economic sector, taking into account the creative nature of his professional activity.&#x0D; According to the author, the creative potential of the future manager should also be considered as one of the drivers of self-development, a factor of self-motivation. The active manifestation of a young person's creative inclinations indicates that he is psychologically attuned to change, the source of which is himself, and the object - both the external and internal world. Creative ideas can positively affect the development of the enterprise, first of all, when the manager acts in close cooperation with other managers, does not distinguish himself as an unusual, gifted person, is able not only to admire attractive prospects, but to defend them throughout their implementation, able to reformat it at any stage if the need for such steps has become apparent.The active manifestation of a young person's creative inclinations indicates that he is psychologically attuned to change, the source of which is himself, and the object - both the external and internal world.The article substantiates the need to emphasize in the system of training the manager of the economic sector the creative nature of his professional activity. Peculiarities of formation of creative personality are considered and its important characteristics in the context of professional tasks of the manager-economist are specified. The expediency of using various forms of educational modeling, quasi-professional activity with different degrees of abstraction, which will expand students' understanding of the essence of the chosen profession, increase the field of choice of personality-attractive forms of educational material and didactic interaction.
Copyright Protection for Software 2.0?

Abstract Traditionally, software programmers write a series of hard-coded rules to instruct a machine, step by step. However, with the ubiquity of neural networks, instead of giving specific instructions, programmers can write a skeleton of code to build a neural network structure, and then feed the machine with data sets, in order to have the machine write code by itself. Software containing the code written in this manner changes and evolves over time as new data sets are input and processed. This characteristic distinguishes it markedly from traditional software, and is partly the reason why it is referred to as ‘software 2.0’. Yet the vagueness of the scope of such software might make it ineligible for protection by copyright law. To properly understand and address this issue, this chapter will first review the current scope of computer program protection under copyright laws, and point out the potential inherent issues arising from the application of copyright law to software 2.0. After identifying related copyright law issues, this chapter will then examine the possible justification for protecting computer programs in the context of software 2.0, aiming to explore whether new exclusivity should be granted or not under copyright law, and if not, what alternatives are available to provide protection for the investment in the creation and maintenance of software 2.0.
Path querying on acyclic graphs using Boolean grammars

Graph data models are widely used in different areas of computer science such as bioinformatics, graph databases, social networks and static code analysis. One of the problems in graph data analysis is querying for specific paths. Such queries are usually performed by means of a formal grammar that describes the allowed edge-labeling of the paths. Path query is said to be calculated using relational query semantics if it is evaluated to triple , such that there is a path from to such that the labels on the edges of this path form a string derivable from the nonterminal . As the regular and context-free languages have limited expressive power, we focus on a more expressive languages, namely the Boolean languages that use Boolean grammars to describe the labeling of paths. Although path querying using relational query semantics and Boolean grammars is known to be undecidable, in this work we propose a path querying algorithm on acyclic graphs which uses relational query semantics and Boolean grammars and approximates the exact solution. To achieve better performance in compare with the naive algorithm, considered classes of graphs were limited to acyclic graphs.
A New Approach to Automatically Find and Fix Erroneous Labels in Dependency Parsing Treebanks

Dependency Parsing (DP) is the existence of sub-term/upper-term relations between the words that make up that sentence for each sentence in the text. DP serves to produce meaningful information for high-level applications. Correct labeling of the text corpus used in DP studies is very important. There will be mistakes in the results of the studies that will be performed with the wrongly-labeled text corpus. If text corpus is labeled manually or automatically by human beings, then faulty cases will occur. As a result of the cases that may arise from human factors or annotations used for labeling, faulty labels will be on treebanks. In order to prevent these errors, detection, and correction of possible faulty labeling is very important in terms of increasing the accuracy of the studies to be carried out. Manual correction of possible faulty labels requires great effort and time. The purpose of this study is to create a model that automatically finds possible faulty labels and offers new label suggestions for faulty labels. With the help of the proposed model, it is aimed to detect and correct possible faulty labels that are included in a text corpus, and to increase consistency among the text corpus of the same language. With the help of the developed model, suggesting new labels for faulty labels by a language expert will be a great convenient for the specialist. Another advantage of the model is that the developed model provides a language-independent structure. It has succeeded in obtaining successful results in finding and correcting potentially faulty labels in experimental studies for Turkish. An increase in accuracy has been detected in studies carried out for languages other than Turkish. In investigating the accuracy of the results obtained by the system, the results were analyzed with the help of 10 different language experts.
Penerapan Model Pembelajaran Kooperatif Tipe Make A Math untuk Meningkatkan Hasil Belajar Siswa

This study aims to determine whether applying the Make A Math type of cooperative learning model can improve student learning outcomes in mathematics. The type of research used is Classroom Action Research. The sample in this study were all students of class VIIC SMP Negeri 7 Kebumen, totaling 24 students. The instruments used in this study were observation, documentation and tests&#x0D; Based on the results of the study, it was concluded that the application of the Make A Math type of cooperative learning model could improve student learning outcomes in mathematics class VIIC at SMP Negeri 7 Kebumen. The increase in student learning outcomes can be shown in the results of the final cycle test after applying the Make A Math type of cooperative learning model, the class average score was obtained with the results in the pre-cycle of 57.70; cycle I amounted to 67.08 and cycle II amounted to 78.95. With a percentage of completeness in the prasilkus of 33.33%, in the first cycle as many as 11 students completed with a percentage of 45.83% and in the second cycle there were 18 students who completed with a percentage of 75%
RECOGNITION OF IDENTIFICATION DATA OF BANK CARDS

This article describes the recognition of bank card information. Recognizing an object with a camera is one of the most important tasks at the moment. Recognizing credit card data at the same time is a rather complex algorithmic task, but at the moment the implementation of this task is very relevant and in-demand due to the increase in the number of payment transactions via mobile devices. The implementation of this task can save a person from having to enter most of the data when making online payments. The fundamental difficulties of this problem are discussed and methods for solving it are proposed. The problem under consideration is solved for the case of application on mobile devices, which imposes strict requirements for computational complexity. The article presents the results of a formal analysis of the performance and accuracy of the proposed algorithm. The error spectrum of the recognition system as a whole shows that the proposed algorithm solves the problem with the required accuracy. The main question that was investigated at this work: is it possible to use the Tesseract OCR library for text recognition from video images, for example, timecode? That is, digital time data embedded in the footage images. This is important for the automation of individual procedures for video technical expert studies. Object recognition by the camera is one of the most important tasks at the moment. The fundamental difficulties of this problem are discussed and methods for its solution are proposed. The article presents the results of a formal analysis of the performance and accuracy of the proposed algorithm. The spectrum of errors of the recognition system as a whole shows that the proposed algorithm solves the problem with the required accuracy.
Cameleer A deductive verification tool for OCaml

OCaml is particularly well-fitted for formal verification. On one hand, it is a multi-paradigm language with a well-defined semantics, allowing one to write clean, concise, type-safe, and efficient code. On the other hand, it is a language of choice for the implementation of sensible software, e.g., industrial compilers, proof assistants, and automated solvers. Yet, with the notable exception of some interactive tools, formal verification has been seldom applied to OCaml-written programs. In this paper, we present the ongoing project Cameleer, aiming for the development of a deductive verification tool for OCaml, with a clear focus on proof automation. We leverage on the recently proposed GOSPEL, Generic OCaml SPE cification Language, to attach rigorous, yet readable, behavioral specification to OCaml code. The formally-specified program is fed to our toolchain, which translates it into an equivalent program in WhyML, the programming and specification language of the Why3 verification framework. Finally, Why3 is used to compute verification conditions for the generated program, which can be discharged by off-the-shelf SMT solvers. We present successful applications of the Cameleer tool to prove functional correctness of several significant case studies, like FIFO queues (ephemeral and applicative implementations) and leftist heaps, issued from existing OCaml libraries.
A Survey on Face Analysis and Its Applications (Face Recognition &amp; Facial Age Estimation)

Face Recognition is a widely used research area that is being carried out by researchers in order to use it in different areas. The reason is its sole importance in a number of applications like face detection in crime scenes by the videos of the CCTV cameras, biometrics, authentication in customer relationship etc. A problem that arises in face recognition is that because of complex features like wrinkles, facial expressions, aging, the face of a person is sometimes not recognized by the system. If a fine approach is achieved which can estimate the correct age of a person despite of the aging factors which affect the image, then most of the problems in the face recognition would be solved. This review paper provides a detailed survey of the various state of art techniques of age estimation which are helpful in face recognition.
The Compatibility between Fibonacci Sequence and Elliott Impulse Wave in the Context of A-share Market

The connections between Fibonacci sequence and Elliott impulse wave that Ralph Elliot has proposed in Elliott Wave Principle are not valid all the time owing to the type and variability of the stock market. It is a probabilistic event which can reflect the compatibility between Fibonacci sequence and Elliott impulse wave. In order to explore the compatibility between Fibonacci sequence and basic-form Elliott impulse wave in the context of Chinese A-share market, a research via analyzing the historical trend of 50 core assets’ individual stocks was conducted in Chinese A-share market. The study reveals that Fibonacci sequence does not highly fit basic-form Elliott impulse wave in the context of Chinese A-share market. Suggestions for investors are diversifying the investment strategy to enhance risk controllability, rather than using Elliott Wave Principle singly.
Hi-EADN: Hierarchical Excitation Aggregation and Disentanglement Frameworks for Action Recognition Based on Videos

Most existing video action recognition methods mainly rely on high-level semantic information from convolutional neural networks (CNNs) but ignore the discrepancies of different information streams. However, it does not normally consider both long-distance aggregations and short-range motions. Thus, to solve these problems, we propose hierarchical excitation aggregation and disentanglement networks (Hi-EADNs), which include multiple frame excitation aggregation (MFEA) and a feature squeeze-and-excitation hierarchical disentanglement (SEHD) module. MFEA specifically uses long-short range motion modelling and calculates the feature-level temporal difference. The SEHD module utilizes these differences to optimize the weights of each spatiotemporal feature and excite motion-sensitive channels. Moreover, without introducing additional parameters, this feature information is processed with a series of squeezes and excitations, and multiple temporal aggregations with neighbourhoods can enhance the interaction of different motion frames. Extensive experimental results confirm our proposed Hi-EADN method effectiveness on the UCF101 and HMDB51 benchmark datasets, where the top-5 accuracy is 93.5% and 76.96%.