Reviewerly/exHarmony huggingface dataset:
Социальная устойчивость студенческой молодежи России: как оценивают ее сами студенты

Introduction. The problem of assessment and enhancement of social resistance of the Russian students is dealt with in the article. It focuses on the influence of a number of factors on the enhancement of social resistance among students under modern conditions. The purpose of the article is to examine the results of a study on the formation of social sustainability of students, to conduct on this basis an assessment of its level, to summarize the experience of developing and using special educational technologies that increase social sustainability and students' readiness for future professional activities.Materials and Methods. The following methods are used: questioning, expert poll, comparison, decomposition, and the group analysis. The study population included students of Russian typical regional universities, the sampling totality comprised 400 students of 13 state-financed universities from 5 federal districts of the Russian Federation. Results. The research broadened the comprehension of the role and importance of the enhancement of student social resistance using special educational technologies. The coefficient of social resistance of Russian students (0.36) is not high enough. Also, the study revealed that for 50 % students the need of personal and professional development for successful employment in the futur e was a priority.Discussion and Conclusion. Conclusions are drawn concerning the need to realize the system of dedicated measures directed to increase the social resistance of the Russian students. The paper addresses students and teaching staff of Russian higher schools, education authorities as well as scientists studying problems of students’ evolvement.
Rancang Bangun Sistem Informasi Akuntansi Pembelian Bahan Baku Secara Kredit

Purchasing Raw Materials is a major factor supporting the smooth production process for garment companies. So that every company must have a good raw material purchasing system to prevent delays in raw material stock for the company's operations. PT Bintang Anugrah Busana is a company engaged in the garment. The process of purchasing raw materials at PT Bintang Anugrah Busana is not computerized so that the stock is inaccurate, often orders wrong raw materials, information retrieval takes a long time and document security is not guaranteed. Data collection methods used in this study are direct observation methods, interview methods and literature studies. The purpose of this study is to build a design for accounting information systems for purchasing raw materials at PT Bintang Anugrah using a desktop-based programming language Visual Basic 6.0, SQL Server 2014 Express Edition database and for reports supported by Crystal Report with the waterfall model software development method to solve various problems in PT Bintang Anugrah Busana about purchasing raw materials will make stock more accurate, order errors can be minimized, information retrieval is faster and document security is guaranteed.
Topic Model-Based Freshness Estimation Towards Diverse Tweet Recommendation

Most conventional tweet recommendation methods focus on matching tweets with user preferences. However, only considering user preferences may raise the risk of filter bubbles occurring, i.e., users may not be able to access diverse information. In this paper, we propose a freshness-oriented tweet recommendation method, aiming towards diverse information proliferation. We propose the notion of freshness and a corresponding topic model-based estimation method, to help users find novel information within a timeline by comparing previous tweets. Our experimental results demonstrate the superiority of our proposed method for helping users obtain fresh and useful information.
GEOCRONOLOGIA DO CENTRO-OESTE BRASILEIRO

In this paper the Authors present the results of 81 K-Ar age determinations, involving samples from West Central region (Goias and Mato Grosso States) and west part of Minas Gerais State. Brazil. Sample are related to the several stratigraphic and tecto-orogenic units, and the results are discussed under the light of modern knowledge about that region. For each geologic unit, higher numbers are interpreted as related with major tecto-orogenic events; smaller ages may indicate various thermotectonic stages and regional uplifts, not yet well known. Rb-Sr analysis reported by HURLEY in 1968 are included in the dicussion. Two major events are infered and their significance is discussed.
R-Help: An Application for Online FIR Registration System for Railways

R-Help registers a complaint with minimum inputs and issues unique ID. It relays the complaint online to relevant officials for immediate action. It allows passengers to lodge complaints through mobile application and enables them to check real time feedback on the status of redressal of their complaint. There are some existing applications for the registration purpose but with some drawbacks. The proposed system tries to overcome them. Slow registration of FIR in Accidents and assault cases is one of the biggest problems of the existing system. Often the victims are told by the hospital authorities that the treatment would not be started unless an FIR has been registered. The slow registration of FIR leads to loss of precious time and other issues. We have proposed to develop a system which provides an easily accessible android mobile application. The complaints would be registered over the application. The complainant would be filling up the FIR form, he would be providing the proofs and details related to the complainant on the application. The user can upload images, and details as records. These details would then be received by the Railway Police Force (RPF). They will verify the details of the complainant and carry out further proceedings of the case. There is an option of updating the status complaint for the user as well as the RPF. Thus the entire process would be carried out online, without much manual intervention.
Enhanced Security Mechanism Using Hybrid Approach of Watermarking

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Ameliorate Large Video Enigma for Promulgation

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
JTAG Debugging and Exploitation

In the preceding chapters, we looked at various communication protocols, such as UART, SPI, and I2C. In this chapter, we cover JTAG, which is a bit different from what we have seen so far, and is not exactly a communication protocol. JTAG is a widely misunderstood concept, even within the security community.
Action Recognition with deep network features and dimension reduction

Action recognition has been studied in computer vision field for years.We present an effective approach to recognize actions using a dimension reduction method, which is applied as a crucial step to reduce the dimensionality of feature descriptors after extracting features.We propose to use sparse matrix and randomized kd-tree to modify it and then propose modified Local Fisher Discriminant Analysis (mLFDA) method which greatly reduces the required memory and accelerate the standard Local Fisher Discriminant Analysis.For feature encoding, we propose a useful encoding method called mix encoding which combines Fisher vector encoding and locality-constrained linear coding to get the final video representations.In order to add more meaningful features to the process of action recognition, the convolutional neural network is utilized and combined with mix encoding to produce the deep network feature.Experimental results show that our algorithm is a competitive method on KTH dataset, HMDB51 dataset and UCF101 dataset when combining all these methods.
Research on Mobile Terminal Augmented Reality Application for Cultural Heritage

The development of intelligent technology continuously promotes the application of augmented reality (AR) technology in the field of mobile Interconnection. This article uses the Unity3D engine and Vuforia SDK as development tools, and takes the world cultural heritage West Lake as the research sample, through researching the development model of the mobile AR cultural experience platform, this paper constructs an innovative App model for multivariate display of West Lake attractions. The app is designed to apply AR technology features to enhance the user’s audio-visual experience, as well as the protection, display and interaction of the cultural heritage through the combination of virtual reality and reality. In this paper, a new technical means for the multi-dimensional display, multi-modal interaction and multi-scene applications of cultural heritage information is provided.
A Secure Blind Path Energy Aware Geographical Routing Protocol for Wireless Sensor Networks

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
DESIGN AND IMPLEMENTATION OF A LANGUAGE SCANNER GENERATOR (KnitAutoGen)

The need for fast, efficient and simple scanner generator that has the primary responsibility to perform efficiently gave rise to this paper.This is due to the fact that, on daily basis new technologies arise which brings a great improvement on the design of computer architecture.However, attention was given to speed, run time and resource availability of the design machine to be used since lexical analysis has an impact on how the compiler works.This paper seeks to develop a lexical analyzer (scanner generator) automatically by specifying the lexemes patterns to a lexical analyzer generator and compiling those patterns into a code that functions as a lexical analyzer.The scanner accepts characters as input and breaks them down to produce tokens by grouping the characters and not deviating from specifications.The project employs one of the different methods of lexical analyzer generator to perform pattern-matching on text using regular expression over a global character set.The paper shows how input is matched and specifies what to do when a pattern is matched.This was achieved with the use of regular expressions (RE) which were converted to non-deterministic finite automata (NFA) or deterministic finite automata (DFA).The regular expression and the regular grammar were thus joined together mathematically.Various results are presented and further work on micro compilers was proposed.
An Introduction to PowerShell for Investigators

PowerShell provides a great acquistion engine for obtaining a vast array of information from live systems, servers, peripherals, mobile devices, and data-driven applications like Active Directory.
Selective word encoding for effective text representation

Determining the category of a text document from its semantic content is highly motivated in the literature and it has been extensively studied in various applications. Also, the compact representation of the text is a funda- mental step in achieving precise results for the applications and the studies are generously concentrated to improve its performance. In particular, the studies which exploit the aggregation of word-level representations are the mainstream techniques used in the problem. In this paper, we tackle text representation to achieve high performance in different text classification tasks. Throughout the paper, three critical contributions are presented. First, to encode the word- level representations for each text, we adapt a trainable orderless aggregation algorithm to obtain a more discriminative abstract representation by transforming word vectors to the text-level representation. Second, we propose an effective term-weighting scheme to compute the relative importance of words from the context based on their conjunction with the problem in an end-to-end learning manner. Third, we present a weighted loss function to mitigate the class-imbalance problem between the categories. To evaluate the performance, we collect two distinct datasets as Turkish parliament records (i.e. written speeches of four major political parties including 30731/7683 train and test documents) and newspa- per articles (i.e. daily articles of the columnists including 16000/3200 train and test documents) whose data is available on the web. From the results, the proposed method introduces significant performance improvements to the baseline techniques (i.e. VLAD and Fisher Vector) and achieves 0.823% and 0.878% true prediction accuracies for the party membership and the estimation of the category of articles respectively. The performance validates that the proposed con- tributions (i.e. trainable word-encoding model, trainable term-weighting scheme and weighted loss function) significantly outperform the baselines.
A Survey on Feature Extraction Methods and Classifiers for Handwritten Gurmukhi Character Recognition

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Cryptocurrencies in the common law of property

The development of cryptocurrency technology has been driven by a desire to create autonomous systems for carrying out digital transactions. The people who use them may neither seek nor want extraneous legal intervention. Property law is as much a kind of state intervention as all the more familiar rules of financial or securities regulation that have attracted so much attention from legal commentators. Property law is default law. If a certain resource can be characterized as an object of property, then the rules of property law apply to it as far as the nature of the resource allows. The view advanced here is that many features of a common law system of property would apply to cryptocurrencies. Once the data comprising crypto-coins are understood for what they are, they should be a suitable object of property. The old binary conception of personal property consisting in chooses in possession and chooses in action should not be an obstacle, if indeed it ever was, to their recognition as property. With some necessary adaptation to allow for the intangibility of crypto-coins, the usual rules of derivative transfer of title and tracing could apply to them. Granted, the common law has no ready-made rules especially designed for cryptocurrencies. But that very absence of rules may be as much an adaptive strength as a systemic failing. The common law grows by a process of principled analogy between the old and the new. The common law provides a reserve of general principle that can provide a default set of property rules for cryptocurrencies without the need for targeted statutory intervention.
A Comparative Analysis of Civil Liability in Electronic Payment Systems Under the U.S. and Nigerian Laws

One controversial legal issue in relation to fraud in e-banking is how the losses arising from flaws in electronic payment systems would be distributed between the consumer and financial institution.The paper examines the scope of liability of the consumer and bank for unauthorised Electronic Funds Transfer (EFT) under the U.S. and Nigeria laws.Allocation of liability where a consumer is in the picture is, regulated by legal rules in the U.S. The Central Bank of Nigeria regulates e-payment liability issues through guidelines.The protection accorded the consumer by the U.S. EFT Act is wider and financial institutions share more liability than the consumer as opposed to the situation in Nigeria.Under the Nigerian law, consumers' liability is unlimited.Legal improvements are needed to protect the consumer as the weaker party within the context of electronic payment transfer.
Pemetaan Topografi Teristris Berbasis Sistem Informasi Geografis Menggunakan “Gps Handheld” Sebagai Acuan Pencarian Koordinat Awal (Studi Kasus: “Masterplan Sport Centre” Di Muntok, Bangka Belitung)

Sports activity today is very significant growth. The spirit to welcome the 2018 Asian Games, which was originally held in Jakarta and Palembang, made the West Bangka district government plan to build a Sport Center as a medium to foster youth activities and especially in sports. The selected location is in Air Belo Village, Muntok District, West Bangka Regency with 13 hectares area.The research of planning of Masterplan Sport Center by using Topographical Mapping Method Based on Geographic Information System (GIS) with initial coordinate reference using GPS Handheld is expected to produce accurate design that can meet the needs of sports facilities and tourism sector in West Bangka Regency.The result of the Topography Teristris measurement in the form of Contour Map integrated with Rambut Bumi Indonesia (RBI) resulted in the location oriented Thematic map. For position correction using Google Earth, the result must meet Gross coordinate position error fault
A versatile quantum detector based on homodyne detection with photon-number resolution

We interfere weak coherent states with heralded Fock states on a balanced beam splitter and detect the output with photon-number-resolving detectors. Our setup constitutes a versatile detector that can perform both Gaussian and non-Gaussian measurements.
Consensus Protocols as a Model of Trust in Blockchains

Blockchain is a decentralised, replicated, transparent and immutable data store. Blockchains are best described not as 'trustless', but on the basis of distributed trust: trusting everyone in aggregate. Consensus protocols are the heart and soul of the blockchains as they help in achieving this distributed trust. Blockchains are updated via the consensus protocols that guarantee their consistency and integrity over geographically distributed network nodes. Various algorithms can be applied to achieve a consensus based on the requirements like performance, security, scalability, consistency, and failure redundancy. Creating a global fair decentralised consensus protocol is of prime importance, in order to address above-mentioned requirements sufficiently. This paper focuses on analysing the already proposed consensus protocols adopted by popular blockchain platforms to determine their feasibility and efficiency. Parameters that are critical in evaluating blockchain consensus protocol are also discussed. This paper also analyses the hardness of achieving the fair decentralised trust with proof.
Cavity-enhanced quantum metrology with internal squeezed light generation

Optical cavities allow to increase the sensitivity in quantum metrology, at a price of reduced detection bandwidth. We propose to overcome these limitations by squeezing the quantum uncertainty directly inside the detector cavity.
Quantum Algorithm on Logistic Regression Problem

We examine the feasibility of Deutsch-Jozsa Algorithm, a basic quantum algorithm, on a machine learning-based logistic regression problem. Its major property to distinguish the function type with an exponential speedup can help identify the feature unsuitability much more quickly. Although strict conditions and restrictions to abide exist, we reconfirm the quantum superiority in many aspects of modern computing.
ТЕАТР АКТЕРА: РУССКАЯ СЦЕНА ПОСЛЕДНЕЙ ТРЕТИ ХIХ ВЕКА

In the focus on this article are the main trends of Russian acting art in last second half of the 19th century. On the example of art work of the giants of Moscow Maly theatre — Glikeria Fedotova, Maria Ermolova, Alexander Lensky, and masters of the Alexandrinsky stage — Maria Savina, Konstantin Varlamov and Vladimir Davydov — is analyzed the development of theatre realism: from defnite models of role to the reproduction of individual features of personality and human psychological life.
Point-ahead demonstration of a transmitting antenna for satellite quantum communication

We design a novel transmitting antenna with a point-ahead function, and provide an easy-to-perform calibration method with an accuracy better than 0.2 μ rad. Subsequently, our antenna establishes an uplink to the quantum satellite, Micius, with a link loss of 41-52 dB over a distance of 500–1,400 km.