Reviewerly/exHarmony huggingface dataset:
On the number of unsuitable Boolean functions in constructions of filter and combining models of stream ciphers

It is well known that every stream cipher is based on a good pseudorandom generator.For cryptographic purposes, we are interested in generation of pseudorandom sequences of the maximal possible period.A feedback register is one of the most known cryptographic primitives that is used in construction of stream generators.We analyze periodic properties of pseudorandom sequences produced by filter and combiner generators equipped with nonlinear Boolean functions.We determine which nonlinear functions in these schemes lead to pseudorandom sequences of not maximal possible period.We call such functions unsuitable and count the exact number of them for an arbitrary n.
Detecting Handwritten Text from Forms using Deep Learning

Digital Image Processing is an expeditiously emerging field possessing a large number of applications in science and engineering aspects.One of the most used applications in almost every sector is Optical Character Recognition (OCR).OCR is the electronic conversion of handwritten text into digital format which makes information processing from printed papers to data records easy, thus helping to electronically edit, search and store printed texts into machines.This text can then be used in variety of applications like machine translation, speech-to-text, pattern recognition etc.OCR as a piece of software applies pre-processing to improve the recognition in images.This pre-processing step includes skewness correction, despeckling, layout analysis and line and word detection.OCR saves tons of manual effort by recognizing handwritten text with word level detection resulting in an accuracy of 81% to 90%.With form processing, one can capture information in digital format that can save time, labor and money.This helps in achieving a better accuracy in detection.Such systems range from minor application forms to large scale survey forms.Deep Learning algorithms dealing with computer vision related tasks can be used to build a recognition engine.
The Development of Integrated Thematic Learning Devices Based on Interactive Compensatory Model to Improve Students’ Reading Comprehension in Islamic Elementary School

This study aims to examine the effect of using interactive compensatory model (ICM)-based integrated thematic learning tools to improve students’ reading comprehension of information text comprehension for fifth grade elementary school. This research was conducted in three stages. The first phase of the preliminary study included a literature study, field surveys and expert-validated initial product preparation. The second stage of development included limited trials and extensive trials through experimental methods. The third stage was product testing and socialization of the results to try out its efficacy. Data were obtained through observation, interviews, questionnaires and test (pre-test and post-test). This study used a sample of 504 grade fifth students in 12 elementary schools in Bandung Regency. The results of this study indicate that the use of ICM-based integrated thematic learning tools has a significant effect on students’ improvement for reading comprehension on information text for fifth grade elementary school. This is evidenced by the difference in students’ reading comprehension ability before and after learning using ICM-based integrated thematic learning tools. This research has implications for the ease with which teachers can achieve learning objectives with the support of teaching materials, media, worksheets and interesting and practical activities that can stimulate students to improve their reading comprehension skills.
Datasets and Models for Authorship Attribution on Italian Personal Writings

Existing research on Authorship Attribution (AA) focuses on texts for which a lot of data is available (e.g novels), mainly in English. We approach AA via Authorship Verification on short Italian texts in two novel datasets, and analyze the interaction between genre, topic, gender and length. Results show that AV is feasible even with little data, but more evidence helps. Gender and topic can be indicative clues, and if not controlled for, they might overtake more specific aspects of personal style.
Cadres, scripts, registres — complexité de traduction des mots polysémiques

The article deals with issues related to the description of polysemic units for supervised automatic translation of texts from French to Polish based on the object-oriented method by W. Banyś (AOO). Applying to the description additional tools allowing for the disambiguation — frames, scripts and register analysis — the author focuses on presenting the complexity of the description of lexical units. It should be stressed that the decision to assign meanings of such words one or another equivalents in the target language is determined by the criterion of preference. Some of the meanings of the word are easy to describe in such a way that the program can make a correct translation into the target language with a high degree of probability. However, there are often such meanings whose description is much more complex. The closer the meanings of the disambiguated words in the original and target language and the more similar the communication situation in which they are used, the more difficult it is to clearly indicate the boundaries between the meanings. In such cases, there is a much greater range of preferential character of the translation, which we have to adopt The French noun conjunction (f), chosen for analysis, reflects this phenomenon very well.
Implementasi Multi Factor Evaluation Process untuk Penentuan Tempat Pembuangan Akhir Berbasis Web Aplication

Determining the final waste disposal site is a complex problem for Lamandau Regency, which is a developing district, the more people there are every year, the more waste is produced. However, determining the location is still done subjectively without considering the influencing factors and is still manual. In problems like this, the decision support system can be used as a solution to help make decisions. This study aims to implement a decision support system in determining the final disposal site using the Multi-Factor Evaluation Process (MFEP) method which is applied in the form of a Web Application using a prototype model. In determining the final disposal site, there are 5 criteria to be assessed, namely: Cover Land with an initial weight of 0.2, Rain Intensity with an initial weight of 0.1, Nature Reserve with an initial weight of 0.2, Agriculture with an initial weight of 0.3 and Entrance roads with an initial weight of 0.2, and the number of alternatives consists of 5 locations. The findings show that the error rate of this system is below 5%. After testing all modules or system components, all of them were successful and feasible to be used as a tool in determining the final place of development.
SentNA @ ATE_ABSITA: Sentiment Analysis of Customer Reviews Using Boosted Trees with Lexical and Lexicon-based Features

This paper describes our submission to the tasks on Sentiment Analysis of ATE_ABSITA (Aspect Term Extraction and Aspect-Based Sentiment Analysis). In particular, we focused on Task 3 using an approach based on combining frequency of words with lexicon-based polarities and uses Boosted Trees to predict the sentiment score. This approach achieved a competitive error and, thanks to the interpretability of the building blocks, allows us to show the what elements are considered when making the prediction. We also joined Task 1 proposing a hybrid model that joins rule-based and machine learning methodologies in order to combine the advantages of both. The model proposed for Task 1 is only preliminary.
Modern perspectives of quantum security development as a diffusion qualitative digital model in international knowledge information

The article considers the development of cryptographic means of information security, international and new domestic standards of cryptographic protection, which allow users to feel confident in the protection of confidential information. A number of threats have been identified that, according to analysts, will become relevant in the near future. In this paper, we analyzed the use of quantum technologies in the field of cybersecurity. It has been revealed that with the creation of a quantum computer, quantum cryptography will become one of the most reliable ways to protect information. Their coverage – the threats from quantum computing, modern science, which is developing rapidly.
Implementation of The Psychowriting Methods to Improve Linguistic Intelligence for Children in the Field of Writing Interest

Increasing children's intelligence requires strategies so that children have the habit of reading and writing things. One strategy that can be used is psychowriting. The purpose of this study was to increase the spirit of children with literacy to have enthusiasm for writing and interest in reading using the psychowriting method. This research is field research with a qualitative descriptive analysis approach. Data collection methods, using observation, interviews and documentation. The results of this study indicate that the implementation of psychowriting methods to improve linguistic intelligence for children is: a) preparation, b) memory strength test, c) presenting the closest and fastest idea, d) creating an atmosphere, e) implementing creative learning, and f) follow-up.
“Il Mago della Ghigliottina” @ Ghigliottin-AI: When Linguistics meets Artificial Intelligence

This paper describes Il mago della Ghigliottina, a bot which took part in the Ghigliottin-AI task of the Evalita 2020 evaluation campaign. The aim is to build a system able to solve the TV game “La Ghigliottina”. Our system has already participated in the Evalita 2018 task NLP4FUN. Compared to that occasion, it improved its accuracy from 61% to 68.6%.
Integrated Disaster Mapping Information System (DiMAPS)

DiMAPS provides an web-based easy-to-understand display on a map by quickly aggregating disaster information in the field of land, infrastructure and transport. It is used as an information sharing platform of the Ministry of Land, Infrastructure, Transport and Tourism in the event of a disaster.
An Analysis on the Teaching Reform of Data Structure Course in China

For the course of "Data Structures", this paper introduces the importance and existing problems of the data structure course. Through the literature and the current teaching in major universities, the existing teaching methods and their disadvantages are analyzed. The authors put forward teaching reform suggestions and designed an online course platform.
Watch Try on using Augmented Reality

In the ongoing occasions, Augmented Reality (AR) has been widely accepted as the new game changer for big tech companies. The idea of Augmented Reality is much past than creating gaming experiences like Pokemon Go. It is used to improve the experience of customers and provide excellent solutions for easily spotting manufacturing errors. During this paper, we will assess whether AR could be used for online shopping of Fashion Accessories and the future scope of the same. According to several studies conducted, around 20% - 40% of the garments sold by the online fashion retailer are returned by the customers. Out of this percentage, 60% - 70% of the product returns happen due to sizing issues. Main reason to this inefficiency is wrong size ordered by the customer – mistakenly many times. Due to which, there is huge amount of money lost by a retailer simply due to extra shipping cost for returned items (to and fro) and it also leads to customer dissatisfaction.
The Effect Of Using Video Listen-Read-Discuss Strategy Toward Student’s Reading Comprehension Of Recount Text At The Second Grade Of SMP Muhammadiyah Rambah

The purpose of this research were to find out students reading comprehension of recount text taught through LRD strategy and taught without using LRD strategy. And to find out whether there was an effect of using LRD strategy toward students reading comprehension of recount text at the second grade of SMP MuhammadiyahRambah. This research was an experimental research, precisely a quasi experimental research. The instrument of this research was multiple choices test of reading comprehension. The participants were students at second grade of SMP Muhammadiyah Rambah. The researcher findings showed that the improvement from the score of t-test. The total score of t-test was 3.451. Based on p-value was 0.003 &lt; 0.05. Therefore, it could be concluded that there was an effect of using LRD strategy toward students reading comprehension of recount text at the second grade students of SMP Muhammadiyah Rambah.
Research on STSE-HPS Teaching Design Based on the Core Quality of Chemistry Subjec—Taking the Teaching Design of "Introduction to Junior Three Chemistry" as an Example

For students in the third year of junior high school, it is their first time learning the subject of chemistry. Their future learning will be largely related to the first introduction lesson taught by the teacher, so this article takes the third year chemistry introduction lesson as an example, through the combination of STSE and HPS theories applied to teaching in the process of teaching design, which plays a critical role in cultivating students' core literacy in chemistry.
ScopeIt: Scoping Task Relevant Sentences in Documents

A prominent problem faced by conversational agents working with large documents (Eg: emailbased assistants) is the frequent presence of information in the document that is irrelevant to the assistant.This in turn makes it harder for the agent to accurately detect intents, extract entities relevant to those intents and perform the desired action.To address this issue we present a neural model for scoping relevant information for the agent from a large document.We show that when used as the first step in a popularly used email-based assistant for helping users schedule meetings 1 , our proposed model helps improve the performance of the intent detection and entity extraction tasks required by the agent for correctly scheduling meetings: across a suite of 6 downstream tasks, by using our proposed method, we observe an average gain of 35% in precision without any drop in recall.Additionally, we demonstrate that the same approach can be used for component level analysis in large documents, such as signature block identification.
Effect of Internet Services on Customer’s Online Purchase Intention (Case Study: Behpahksh Pharmaceutical Company)

This study aimed at examining the effect of the internet services on online purchase intention of customers in Behpakhsh Company.The variables of this study included transaction services, prepurchase services, Navigation experience, Attitude to the web, online purchase intention.Descriptive-survey method was used to examine hypotheses and respond to the questions.Statistical population consisted of customers of Behpakhsh Company.The statistical sample size obtained to 384 members.This study was implemented in Behpakhsh Company.To collect the required data, researcher-made questionnaire was used.Moreover, regression analysis was applied in this research.Data analysis and hypothesis testing were done through SPSS Software.Findings obtained from this study indicated effect of internet services on customers' online purchase intention in case of Behpakhsh Company.
An Application-centric Survey of Security and Privacy Issues: Bangladesh Perspective

In recent years, we have seen a number of research works reported which target different security and privacy issues in Bangladesh.To understand their scopes, it is essential to have a clear picture of the application domains they have covered and different security and privacy issues they have analysed and identified.In essence, a survey of all major works covering different security and privacy aspects with a specific focus in Bangladesh is required and is still missing.In this paper, we present an application-centric survey covering studies of security and privacy issues in Bangladesh perspective, utilising an application as well as study centric taxonomies.A total number of 19 research papers have been identified and thoroughly reviewed according to the formulated taxonomies.Finally, we present a summary of our analysis using tabular formats, clearly identifying the scopes as well as applications domains for each reviewed work.
Formative assessment of students' skills and competencies in the context of modern secondary education strategies

The article examines the processes and technologies for assessing the skills and competencies of secondary school students. Modern school assessment is an integral part of the learning process of students, which reflects the internal and external processes in the accessibility of the content of teaching school subjects and the level of skills and competencies of the individual on the basis of feedback. Traditionally, school assessment was based on quantitative indicators and errors of the applicant, rather than on qualitative measurements of competencies and skills. A new model of assessment, which is formative and provides an opportunity through pedagogical observation of the technology of individual student work, to determine effective learning outcomes in the form of achieved goals through group work or individually. After all, the outlined assessment can motivate and inspire the child to development, self-development and quality assimilation of subject program results. Evaluative pedagogical work should take into account the limits of adverse risks and their effects on the balance of the child's internal state, relationships with peers, psychological and emotional balance, blocking the child's brain for further learning, unbalanced relationship with the teacher. Research has shown that formative assessment significantly actualizes the interactive assessment of students' progress, which involves psychological and pedagogical tracking of personal development, judgements about effective educational process of skills, learning experience, competencies and quality of student development. The activity mission of a modern teacher is expanded by the urgency and public demand for understanding the importance for a particular feature of formative assessment procedure in the initial and subsequent stages of learning. Thus, we note that primary school children perceive the assessment for the task as self-assessment and requires special sensitive attention of the teacher. Benevolence and a positive attitude contribute to the desire of students to solve educational and life situations, develop skills and develop competencies for successful self-realization in life. Thus, pedagogical processes in assessing the skills and competencies of the individual aim to improve the quality of education, diagnose the educational process on the demands of learning, identify shortcomings and outline models of educational activities, promote a comfortable educational process and environment for student development in partnership with teachers.
ACTIVATION OF THE LIBRARIES OF HIGHER EDUCATIONINSTITUTIONS IN PROMOTING EDUCATIONAL WORK ANDSOCIAL – PSYCHOLOGICAL ADAPTATION OF FRESHMEN

The article continues many years of research that contributed to the emergence of a number of scientific papers on identifying the features of the development of scientific communication by integrating knowledge, methods, technologies on the example of interaction in the system «Library-Education». The authors analyze the typical shortcomings of information preparation of school graduates, determine the directions of development of new technologies in educational work, outline the method of promoting the social and psychological adaptation of freshmen by means of the communicative and scientific environment of the library of the institution of higher education. It is determined that the educational work in Ukrainian higher education institutions is carried out on the basis of democracy, the use of the potential of student self-government and aims at quality training, ensuring a harmonious, holistic development of the individual, capable of independent thinking, free public choice. The goal is to identify the typical shortcomings in the information preparation of school graduates for the development of new technologies in educational work and to promote the social and psychological adaptation of freshmen by means of the communication and scientific environment of the library. The authors outline the main directions of educational work, trace the positive and negative changes in technologies of information preparation of students of schools. The study identified typical shortcomings in the information preparation of school graduates, identified the tasks of the library of higher education institutions on the basis of the «National Strategy for the Development of Education in Ukraine for 2012-2021» and «Strategies for the development of library affairs for the period up to 2025 «Qualitative changes of libraries to ensure sustainable development of Ukraine»». The authors suggested a scheme of the developed lecture. The lecture is recommended for first-year students, on the example of the Scientific and Technical Library of Odessa National Polytechnic University. It is aimed at the rapid adaptation of freshmen to work with the website of ONPU Scientific and Technical Library, for the successful use of electronic resources in the educational process. The trial took place in September 2019 for the first-year students of the Department of Information and Media-Communication of the Odessa National Polytechnic University.
IIITG-ADBU at SemEval-2020 Task 9: SVM for Sentiment Analysis of English-Hindi Code-Mixed Text

In this paper, we present the results that the team IIITG-ADBU (codalab username 'abaruah') obtained in the SentiMix task (Task 9) of the International Workshop on Semantic Evaluation 2020 (SemEval 2020).This task required the detection of sentiment in code-mixed Hindi-English tweets.Broadly, we performed two sets of experiments for this task.The first experiment was performed using the multilingual BERT classifier and the second set of experiments was performed using SVM classifiers.The character-based SVM classifier obtained the best F1 score of 0.678 in the test set with a rank of 21 among 62 participants.The performance of the multilingual BERT classifier was quite comparable with the SVM classifier on the development set.However, on the test set it obtained an F1 score of 0.342.
A NEW RESEMBLANCE MEASURE ON INTUITIONISTIC FUZZY SETS AND ITS APPLICATION IN SERIAL CRIME DETECTION

In this present article, we studied and examined the novel general subclasses of the function class Σ of bi-univalent function defined in the open unit disk, which are associated with the Horadam polynomial.This study locates estimates on the Taylor -Maclaurin coefficients |a 2 | and |a 3 | in functions of the class which are considered.Additionally, Fekete-Szegö inequality of functions belonging to this subclasses are also obtained.
An Analysis Of Presupposition Found In The Guardian News: Pragmatical Approach

This paper is qualitative descriptive research which investigates types of presupposition and the mostly used type of presupposition. The data source in this study is utterance in Guardian news. The method of collecting is by observation. The methods of analyzing data are by agih and padan method from Sudaryanto. Author uses theory of Yule which divides presupposition into 6 types these are existential presupposition, factive presupposition, lexical presupposition, structural presupposition, non-factive presupposition, and counterfactual presupposition. The researcher has 20 data here. There are 3 types of presupposition found in the Guardian news. The most used type used is existential presupposition.