Reviewerly/exHarmony huggingface dataset:
The Variational InfoMax Learning Objective

Bayesian Inference and Information Bottleneck are the two most popular objectives for neural networks, but they can be optimised only via a variational lower bound: the Variational Information Bottleneck (VIB). In this manuscript we show that the two objectives are actually equivalent to the InfoMax: maximise the information between the data and the labels. The InfoMax representation of the two objectives is not relevant only per se, since it helps to understand the role of the network capacity, but also because it allows us to derive a variational objective, the Variational InfoMax (VIM), that maximises them directly without resorting to any lower bound. The theoretical improvement of VIM over VIB is highlighted by the computational experiments, where the model trained by VIM improves the VIB model in three different tasks: accuracy, robustness to noise and representation quality.
On the optimization of Dombi non-linear programming

Dombi family of t-norms includes a parametric family of continuous strict t-norms, whose members are increasing functions of the parameter. This family of t-norms covers the whole spectrum of t-norms when the parameter is changed from zero to infinity. In this paper, we study a nonlinear optimization problem in which the constraints are defined as fuzzy relational equations (FRE) with the Dombi family of t-norms. We firstly investigate the resolution of the feasible solutions set when it is defined with max-Dombi composition and present some necessary and sufficient conditions for determining the feasibility. Also, some procedures are presented for simplifying the problem. Since the feasible solutions set of FREs is non-convex, conventional nonlinear programming methods may not be directly employed to solve the problem. Based on some theoretical properties of the problem, a genetic algorithm is presented, which preserves the feasibility of new generated solutions. Moreover, a method is presented to generate feasible max-Dombi FREs as test problems for evaluating the performance of our algorithm. The proposed method has been compared with some related works. The obtained results confirm the high performance of the proposed method in solving such nonlinear problems.
Fuzzy-based voiced-unvoiced segmentation for emotion recognition using spectral feature fusions

Despite abundant growth in automatic emotion recognition system (ERS) studies using various techniques in feature extractions and classifiers, scarce sources found to improve the system via pre-processing techniques. This paper proposed a smart pre-processing stage using fuzzy logic inference system (FIS) based on Mamdani engine and simple time-based features i.e. zero-crossing rate (ZCR) and short-time energy (STE) to initially identify a frame as voiced (V) or unvoiced (UV). Mel-frequency cepstral coefficients (MFCC) and linear prediction coefficients (LPC) were tested with K-nearest neighbours (KNN) classifiers to evaluate the proposed FIS V-UV segmentation. We also introduced two feature fusions of MFCC and LPC with formants to obtain better performance. Experimental results of the proposed system surpassed the conventional ERS which yielded a rise in accuracy rate from 3.7% to 9.0%. The fusion of LPC and formants named as SFF LPC-fmnt indicated a promising result between 1.3% and 5.1% higher accuracy rate than its baseline features in classifying between neutral, angry, happy and sad emotions. The best accuracy rates yielded for male and female speakers were 79.1% and 79.9% respectively using SFF MFCC-fmnt fusion technique.
TO SYNTHESIZE MULTIFERROICS BIFEO3 NANOPARTICLES BY SOL GEL METHOD

Present study deals with optical properties of BiFeO 3 nanoparticles synthesized by sol gel technique. Prepared BiFeO 3 nanoparticles have been characterized to study structural, optical properties by XRD, FESEM and FTIR spectroscopy. BiFeO 3 is the most interesting material which exhibits multiferroics response. BiFeO 3 reveals simultaneously spontaneous properties of ferroelectric and ferromagnetic in the single phase sample at room temperature. The multifuctionality of BiFeO 3 proposes analyzing the fundamental physics as well as in many ranges of applications like in information storage, spintronics and sensors. BiFeO 3 nanoparticles are synthesized by following sol gel method. Field emission electron microscopy (FESEM) images show the surface morphology of the sample and also are used to calculate the average particle size. All types of functional groups of the sample BiFeO 3 as well as optical band gap are observed by the Fourier transform infrared spectroscopy (FTIR) spectra. The optical band gap of bismuth ferrite about (~2.2 eV) lies in visible range so it is applicable as photo catalyst for water splitting and degradation of organic pollutants materials. Keywords: band gap, ferroelectricity, ferromagnetism, photo catalyst.
Remarkable dates about the stamp O,50F Marianne de Béquet – Etude monographique du 0,50F Marianne de Béquet

Sommaire Introduction Stamps from sheets Stamps without phosphorescent band and not overprinted Postage rate on 4.1.1971 Postage rate on 16.9.1974 Postage rate on 2.8.1976 Stamps without…
Confinement and retrieval of local phonons in a trapped-ion chain

Driving an ion at a motional sideband transition induces the Jaynes--Cummings (JC) interaction. This JC interaction creates an anharmonic ladder of JC eigenstates, resulting in the suppression of phonon hopping due to energy conservation. Here, we report the confinement of multiple local phonons to a single ion site using this nonlinear quantum effect. By using phonon-number-resolving detection, we observe the dynamics of multiple phonons in an ion chain. In addition to simply confining local phonons, by turning the JC interaction on and off dynamically, we can confine a single local phonon to a single ion site and subsequently retrieve it out of the site. Our work establishes a key technological component for quantum simulation with multiple bosonic particles, which can simulate classically intractable problems.
CRYPTANALYSIS OF RSA KEY EQUATION OF N=p^2q FOR SMALL |2q – p| USING CONTINUED FRACTION

This paper presents a new factoring technique on the modulus , where &nbsp;and &nbsp;are large prime numbers. Suppose there exists an integer &nbsp;satisfies the equation , for some unknown integer &nbsp;and &nbsp;is the Euler’s totient function. Our method exploits the term &nbsp;to be the closest integer to the unknown parameter . Hence we show that the unknown parameters &nbsp;and &nbsp;can be recovered from the list of the continued fractions expansion of&nbsp;&nbsp;&nbsp;Furthermore, we present an algorithm to compute the prime factors of &nbsp;in polynomial time after obtaining the correct tuple &nbsp;and.
The Performance of Cultural Policy: Strategic Orientations and Sociological Indicators

In this article, the authors address the problems of assessing the effectiveness of the cultural policy. Strategic and tactical guidelines and indicators of efficiency of its development in modern Russia are conceptualized. The results of all-Russian surveys of students conducted by the authors in three cities of Russia (Moscow, Yekaterinburg, and Chelyabinsk) are summarized.&#x0D; Keywords: culture, cultural policy, effectiveness of cultural policy, surveys, students.
Analisis Pembelajaran Blended Menggunakan Schoology Studi Kasus Mata Kuliah Akuntansi Sektor Publik Program Studi Pendidikan Akuntansi Universitas Muhammadiyah Surakarta

This study aims to determine: 1) students' perceptions of blended learning usingSchoology media in Public Sector Accounting lectures, 2) the application ofblended learning using Schoology in Public Sector Accounting courses, 3) theeffect of applying blended learning using Schoology in Public Sector Accountingcourses . This type of research is qualitative research. The research design used iscase study. Data collection techniques using interviews, observation, anddocumentations. The validity of the data uses source triangulation and methodtriangulation The results of this study are 1) from the point of view of the studentmedia Schoology provides convenience for blended learning even though thereare students who tend to choose face-to-face learning (conventional learning), 2)the application of Schoology media in Public Sector Accounting courses providessome convenience among them the flexibility of assignment, task collection, aswell as discussion, 3) The use of Schoology media in Public Sector Accounting courses has a positive influence on the learning objectives of public sectoraccounting shown by the final results of the average students either.Keywords: blended learning, schoology, public sector accounting
Collaborative tools to car commuting in Brazil and China

Brazilians and Chineses use applications daily to meet some of their needs. Geolocation, memory, communication, entertainment and learning are some examples, but it is well known that not every moment is suitable for the use of certain technologies, and sometimes its use is even illegal. While driving a car, a person tends to keep using their phones, even though it is distracting and dangerous, but the reasons behind this use are related to trying to make travel less unproductive and unpredictable. This problem leads this work to debate the relationship between driving and the continuous interactions with technologies in the car. For this, the debate is based on findings done by Souza et al. (2019) in Recife, Brazil, applying  Design Anthropology approach and the Design Ethnography method, seeking to understand how improvisations and contingencies can provide a deep understanding of the user's real needs. The results shows that, by applying this methodology, it was possible to raise many considerations about how and why people collaborate on traffic, including which applications they use and how they trust the information presented while aggregating their own personal knowledge. And , based on this knowledge, This article intends to raise hypothesis based on these findings that can be linked to China’s reality, opening opportunities to future researches.
Mobile-based Telemedicine Application using SVD and F-XoR Watermarking for Medical Images

A medical- service platform is a mobile application through which patients are provided with doctor’s diagnoses based on information gleaned from medical images. The content of these diagnostic results must not be illegitimately altered during transmission and must be returned to the correct patient. In this paper, we present a solution to these problems using blind, reversible, and fragile watermarking based on authentication of the host image. In our proposed algorithm, the binary version of the Bose_Chaudhuri_Hocquengham (BCH) code for patient medical report (PMR) and binary patient medical image (PMI) after fuzzy exclusive or (F-XoR) are used to produce the patient's unique mark using secret sharing schema (SSS). The patient’s unique mark is used later as a watermark to be embedded into host PMI using blind watermarking-based singular value decomposition (SVD) algorithm. This is a new solution that we also proposed to applying SVD into a blind watermarking image. Our algorithm preserves PMI content authentication during the transmission and PMR ownership to the patient for subsequently transmitting associated diagnosis to the correct patient via a mobile telemedicine application. The performance of experimental results is high compare to previous results, uses recovered watermarks demonstrating promising results in the tamper detection metrics and self-recovery capability, with 30db PSNR, NC value is 0.99.
Разработка и реализация алгоритма формирования учебной нагрузки с целью автоматизации работы по организации учебного процесса

The article describes the developed algorithm for the formation of the training load, covering the whole cycle of operations, including: obtaining the initial data and processing, aggregating the disciplines, calculating the hours, forming a list of teachers, and downloading the information as the form of a spreadsheet.
Financial Management for Libraries

"Financial Management for Libraries." Journal of the Australian Library and Information Association, 69(1), p. 124
The Purpose of Cultural Education in the Conditions of Russian Social and Cultural Modernization

Based on the theory of socio-cultural modernization and the concept of the human development, the author analyzes the processes taking place in education. The issue of the prospects of cultural education, the tasks of which are revealed in the context of acquiring the skills of the XXI century, becomes urgent.&#x0D; Keywords: socio-cultural modernization, education, cultural studies, cultural education, human capital.
CHATBOT SERVICES AT EDUCATIONAL INSTITUTIONS WITH CUSTOMER RELATIONSHIP MANAGEMENT

Online services at Educational Institutions are currently an essential means of interacting with customers both for promotion, academic services or various information on agency activities. The problem that occurs is limited service time that cannot be continuously online, outside working hours and customers who do not have time, to come to the institution to get various information. This study seeks to develop a solution to create a service interaction system that can provide answers automatically online, known as chatbot. The method developed in this chatbot uses text-based data mining that combines database work processes using Customer Relationship Management (CRM). The results of this study found that the relationship between customer interactions, institutions and chatbot applications were reviewed with CRM in the information service satisfaction level of 82% of the use of chatbot. Chatbot can help meet customer and institutional information needs.
FINANCIAL INCLUSION: ISSUES AND CHALLENGES IN DIGITAL INDIA

A Financial System is fundamental for a country as it increases effectiveness and welfare by providing
Toward the Interdisciplinary Theory and Research

The article represents some thoughts and considerations on an interdisciplinary theory and research based on the relevant scientific works and the author's personal and "big family" experience and research practice during half a century .The author came to the following conclusions.First, a degree and forms of the interdisciplinary depend on a historical period of human society.From the ancient times till nowadays the author revealed at least three periods of science integration and diversification.Second, in the times of Enlightenment domination, the division of the sciences had been conditioned both by a diversification of human practice and an emergence of an "iron cage" of the bureaucracy.Thirdly, nowadays, one could observe a reverse trend toward collaboration and even to integration of the sciences.Fourthly, as I indicated earlier, there is an interdisciplinary bridge between natural, social and technical sciences defined by the metabolic processes between them.Fifthly, there is a permanent struggle between the adherents of integrative approach in the scientific world and those who gain profit from the conservation of institutional barriers between various branches of sciences.Sixthly, the civic initiatives and a science-public researches are in-between the above two.But recently such complex activity cannot be reduced neither to a kind of a bridge between them nor to a "second-hand" science.Seventhly, the further the more, the science-public researches are becoming an important instrument of gaining necessary data below and transferring them up at the fundamental sciences level.Eighthly, due to a practice of making the research projects with necessary practical recommendations a scientific knowledge began to circulate in two ways: top-down and bottom-up.Ninthly, as a result we are now "returning" to the Renaissance time but being much more theoretically and methodologically equipped.
INFLUENCE OF PANDANUS TECTORIUS LEAF FIBER ON MECHANICAL PROPERTIES AND MORPHOLOGY OF POLYPROPYLENE COMPOSITE

Natural fiber reinforced polymer composites are widely developed because of their relative low price and eco-friendly. One of natural fiber sourches is pandanus tectorius leaf. This study aimed to determine the effect of variations in fiber volume fraction on tensile strength, impact strength, bending strength and morphological on sea pandanus fibers- polypropylene composites.Tensile test spesimen refer to ASTMD 638, impact test spesimen refes to ASTMD 5942-96, bending test spesimen refer to ASTMD 790 -02. The increasing of the volume fraction increased the tensile strength and impact strength. The tensile test results showed the highest tensile strength results for composites with a volume fraction of 35% was 25.82 MPa. The impact test results showed that the highest impact strength was obtained in the 35 % volume fraction of 0.0062 Joule/mm2. The bending test results showed that the highest bending strength was obtained in the 20% volume fraction of 24.96 MPa. Based on SEM test results, there were voids, cracks, fibers pull out on the composite.
Study on Encryption Techniques Used to Secure Cloud Storage System

Cloud storage is used generally to store data and realize the data sharing with others. A cloud storage system stores large number of data in its storage server. Data that are stored to the cloud have to be secured in order to avoid the data from exploiting. There are several techniques and methods that are used to secure the data before uploading it to the cloud such as cryptographic encryption techniques. In this paper, we study about different encryption technique to protect the cloud storage environment. This paper covers some of the existing cryptographic approaches that can be used to improve the security in cloud environment.
Guidance of Computer-aided Self-teaching and Practice of English Pronunciation for Chinese Adult English Learners

Abstract As the difference of pronunciation between English and Chinese are huge, it is difficult for Adult English Learners to correct their pronunciation and get better communication results. This passage has provided very basic but necessary phonetic knowledge, the methods of practice aided by computer and some software, which are all very helpful for the adult English learner who want to improve their pronunciation.
Natural Language Questions for Semantic Web-Based News Aggregator

The impressive growth of the Web in the last decade has made it becomes one of the most popular news sources.Web-users nowadays can access an unlimited amount of news items but only a subset of them meets their interest.The existing news systems on Web reveal more and more limitations in information search because news items are presented only for human consumption.This paper presents BKSport, a sports news aggregation system that provides users with the ability to find relevant news articles through queries that are formulated in natural language.Our contribution consists of a system development approach, which is totally based on Semantic Web technologies.First, semantic annotations about news item are created using an ontology and knowledgebase for sports domain.Additionally, we propose a method to transform natural language questions into SPARQL queries to carry out semantic search on these semantic annotations.Last, the system has been positively evaluated with respect to precision, based on a set of pre-defined questions belonging to various categories.
Reduction of Ict Security Risks Using Level Based Approach

Security controls are certainly one of the most preferred ways of controlling the environment in which our system is “alive”. But although they are heavily represented and used in practice, security controls tend to become the same and not change after they are introduced. To try to make the most of the opportunities that this approach provides, this paper will explain the importance of implementing ICT security controls and propose a new approach by adding emergency ICT control. This approach gives us the ability to integrate the entire organization into the development of control by providing a better, more accurate and faster basis for managing the security risks of ICT technology.
iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection

Training an object detector on a data-rich domain and applying it to a data-poor one with limited performance drop is highly attractive in industry, because it saves huge annotation cost. Recent research on unsupervised domain adaptive object detection has verified that aligning data distributions between source and target images through adversarial learning is very useful. The key is when, where and how to use it to achieve best practice. We propose Image-Instance Full Alignment Networks (iFAN) to tackle this problem by precisely aligning feature distributions on both image and instance levels: 1) Image-level alignment: multi-scale features are roughly aligned by training adversarial domain classifiers in a hierarchically-nested fashion. 2) Full instance-level alignment: deep semantic information and elaborate instance representations are fully exploited to establish a strong relationship among categories and domains. Establishing these correlations is formulated as a metric learning problem by carefully constructing instance pairs. Above-mentioned adaptations can be integrated into an object detector (e.g. Faster RCNN), resulting in an end-to-end trainable framework where multiple alignments can work collaboratively in a coarse-tofine manner. In two domain adaptation tasks: synthetic-to-real (SIM10K->Cityscapes) and normal-to-foggy weather (Cityscapes->Foggy Cityscapes), iFAN outperforms the state-of-the-art methods with a boost of 10%+ AP over the source-only baseline.
THE WORD, THE MEANING AND ITS SENSES (TO THE 100TH ANNIVERSARY OF THE SCIENTIST, PHILOLOGIST, GERMANIST, AND PEDAGOGUE SERGEI OMELANOVICH GURSKY (1919-2019)

Spectrum of S.О.Gursky's research interests impresses with his range and includes problems of lexicology, semantics, applied and branch terminology, linguocognitology and linguopragmatics.The semantics of language according to S.O.Gursky is the problem number one in linguistics, which has philosophical, logical, psychological, linguistic and purely semasiological aspects.The key scientific postulate of S.O.Gursky argues that the word does not change in different contexts, but merely reproduces its invariant meaning as a series of meaning-distinguishing signs, since the number of concepts, objects of real reality is unlimited, and the vocabulary of even the richest language is always limited.The word, according to S.O.Gursky, as a rule, relates to some one particular object of reality, which has, its generalizing nature, so to say, it is the invariant meaning.In fact, by combining the invariant meaning of the word and the variable basis of opposition, the meaning of the word is generated.Produced by S.O.Gursky concept -the separation of the stable component (invariant) from the variable components (senses) -formed the basis of the method "sense-meaning" worked out in his numerous scientific works.The essence of the technique consists in the sequential combination of invariant differential signs, fixed in sign meaning with different concepts in the context, and the formation of different senses.So, the scientific concept, of S.O.Gursky the "meaning-sense" is based on two fundamental principles: 1) on the distinguishing two diverse components of invariant meaning in the paradigm of speech and the variable component in speech syntagmatics; 2) on the relations of oppositions, identical concepts on differential signs, which are the basis of opposition.This approach of the scientist demonstrates that the invariant meaning of a word as an element of the lexical-semantic system of language is a series of elementary stable semes / as components of the invariant meaning of the word, knowing them we can best understand the word or phrase in the professional text.The basic thesis of S.O.Goursky is that the word does not change, but reproduces its invariant meaning as a series of meaning-distinguishing features that are understood by apriori in the process of abstract thinking activity.