Reviewerly/exHarmony huggingface dataset:
Project Delivery of Goods With Limited Resources and Minimum Time Using Fuzzy Logic Method

In solving the problem of fuzzy application for scheduling delivery of goods with a limited power source and minimal time, the problems that are still not considered in the RCPS problem modeling are the uncertainty characteristics of the parameters of the timing of activities in the delivery project. Even though this can be solved by using the PERT (Project Evaluation and Review Technoloque) method with a probabilistic approach, this technique still ignores the limitations of the supply of resources. Actually, a probabilistic approach can be used, if previously provided data about the experience in completing similar projects. But if the project is a new project or the techniques and methodologies used to complete a new project, such as new techniques and methodologies in software engineering, among others: object-oriented design and programming, computer-aided software design, user interface management systems, fourth generation languages, etc., then the probabilistic approach is not suitable. &#x0D; In this situation, the decision maker must be able to estimate the cost and time duration, of all activities in the project based on existing experience, related to the level of knowledge they have, about new techniques and methodologies to be applied, and the level of human resource expertise. which are available. This method of estimating project costs and time, which is more precise, uses representations in the form of fuzzy numbers, namely fuzzy sets in the set of real numbers that are normal, convex, and closed intervals. The delivery time is modeled as a fuzzy number of LR types IKiri, IKanan, α, β, with three values ​​of α-cuts E = 0.3, L = 0.7, and I = 1.0. The fuzzy transformation model is based on three pairs of inferior and superior values ​​from α-cuts. The priority for scheduling delivery of goods is based on the smallest early start time EST value. Resources are solved by serial and parallel models. The smallest makespan value is used to determine the best solution. Goods delivery settlement uses fuzzy operations, namely arithmetic operations and relation operations. &#x0D; Analysis of the output oftware based on testing with test scenarios (table ^ .50) for some input data shows that the parallel method is better than the serial method. This is indicated by the large difference in makespan value generated from the two methods. Based on input data from a software development project, the serial method gives makespan values ​​in the range between 675.0 and 867.0, while the parallel method gives makespan values ​​in the range between 116.0 and 259.0. The analysis of the output software in a fuzzy Gantt Chart representation shows that an activity can be scheduled with varying degrees of optimism. The degree of optimistic activity scheduling can be graded in linguistic terminology between two extreme pessimistic and optimistic values, namely very pessimistic, pessimistic, slightly pessimistic, slightly optimistic, optimistic, very optomistic.
Robust fitting of mixtures of GLMs by weighted likelihood

Finite mixtures of generalized linear models are commonly fitted by maximum likelihood and the EM algorithm. The estimation process and subsequent inferential and classification procedures can be badly affected by the occurrence of outliers. Actually, contamination in the sample at hand may lead to severely biased fitted components and poor classification accuracy. In order to take into account the potential presence of outliers, a robust fitting strategy is proposed that is based on the weighted likelihood methodology. The technique exhibits a satisfactory behavior in terms of both fitting and classification accuracy, as confirmed by some numerical studies and real data examples.
Research Challenges in Designing Differentially Private Text Generation Mechanisms

Accurately learning from user data while ensuring quantifiable privacy guarantees provides an opportunity to build better ML models while maintaining user trust. Recent literature has demonstrated the applicability of a generalized form of Differential Privacy to provide guarantees over text queries. Such mechanisms add privacy preserving noise to vectorial representations of text in high dimension and return a text based projection of the noisy vectors. However, these mechanisms are sub-optimal in their trade-off between privacy and utility.&#x0D; In this proposal paper, we describe some challenges in balancing this trade-off. At a high level, we provide two proposals: (1) a framework called LAC which defers some of the noise to a privacy amplification step and (2), an additional suite of three different techniques for calibrating the noise based on the local region around a word. Our objective in this paper is not to evaluate a single solution but to further the conversation on these challenges and chart pathways for building better mechanisms.
A Synthesis of i-READR Reading Intervention in the lives of Struggling Readers

Reading makes a difference in the lives of individuals. Studies show that it play a significant role in the students’ educational performance. Evidence suggests that students who are proficient readers have a high tendency to be good academic performance in school. Reading skill open to wider perspective as it helps learners improve their communication and language skills. Propelled by this principle, the College of Teacher Education and Technology (CTET) of the University of Southeastern Philippines through an extension program, the Integrated Reading Enhancement Approach to Developing Readers (i – READR) manages to provide comprehensive and holistic approach in responding to the needs and social concerns that beset secondary students in their struggle for quality learning and meaningful education. CTET believes that the process of integrated and inclusive partnerships and actions among teachers, parents, and students might be of help to address this eminent problem. In order to have successful reading experiences, the significance of extensive and meaningful reading experiences was considered. This is the highlight of i - READR through Summer Reading Remediation Camp conducted in the summer of three succeeding years from 2017 – 2019 in Sagayen National High School, Asuncion, Davao del Norte.
Analysis of comparative performance of deep learning models for sentiment analysis

Abstract&#x0D; Sentiment analysis of text can be performed using machine learning and natural language processing methods. However, there is no single tool or method that is effective in all cases. The objective of this research project is to determine the effectiveness of neural network-based architecture to perform sentiment analysis of customer comments and reviews, such as the ones on Amazon site. A typical sentiment analysis process involves text preparation (of acquired content), sentiment detection, sentiment classification and analysis of results. In this research, the objective is to a) identify the best approach for text preparation in a given application (text filtering approach to remove errors in data), and, most importantly, b) what is the best machine learning (feed forward neural nets, convolutional neural nets, Long Short-Term Memory networks) approach that provides best classification accuracy.&#x0D; In this research, a set of three thousand two hundred reviews of food related products were used to train and experiment with a neural network-based sentiment analysis system. The neural network implementation of six different models provided close to one-hundred percent accuracy of test data, and a decent test accuracy in mid-80%. The results of the research would be useful to businesses in evaluating customer preferences for products or services.&#x0D;
GUL.LE.VER @ GhigliottinAI: A Glove based Artificial Player to Solve the Language Game “La Ghigliottina”

The paper describes GUL.LE.VER, GUiLlottine gLovE resolVER, a Glove based system developed to solve the game “La Ghigliottina” which participated in the Evalita 2020 task Ghigliottin-AI. The system described positioned #2, with 0.26 of Precision and 0.46 R@10, more than one guillotine is solved every four games, achieving results comparable to human players. The system proved to solve a different kind of guillotines compared to the first classified system ’Il Mago della ghigliottina’ . An approach based on these two kinds of systems may result in a boost in this field of research.
LEXICAL INNOVATION IN JOURNALISM

The article regards the issue of lexical innovations in the sphere of journalism.The analysis and explanations of certain words will help to better retain the material of news programs in learning English.From lexicological sources 117 lexical units were selected.Though linguists systematically monitor language situation, there always exists the necessity of further detailed explanation and observation of the lexis as new phenomena acquire new nominations, and words that are long used in the language may acquire new meanings.In the lexicographic sources that served as the basis for investigation all words are given either in alphabetic order or thematic grouping.The main task from the start was to isolate words and word combinations from the rest of the units that were included into the sources.The descriptive method helped to show the semantic and word forming structure of the vocabulary.Innovations concern: 1) the names of the specialists working in mass-media, 2) the naming of devices and activities of journalists, 3) results of this process of activity, 4) evaluation of the newspresentation, the policy of the papers and methods of readers attracting.As to the ways of word formation there is a marked predominance of blending over the examples of conversion or abbreviation.Some lexical units being not new acquire new meaning.Reporters often use euphemisms, the source of information due to some reasons is not directly named.Some words come from proper names, others were coined by journalists and either were forgotten or widely used and found their way into the dictionaries.Words may be both mono-and polysemantic.Their meanings and functioning are explained and illustrated by examples taken from the reliable sources.The further investigations will include the observing of the innovations in the sphere of journalism, as new notions, new events, new theories will always bring new words.
Kemampuan Memahami Makna Konsep Kosakata Bidang Ilmu Bahasa Indonesia, Matematika, Seni Budaya dan Prakarya (SBdP), dan Pendidikan Kewarganegaraan Siswa Kelas III Sekolah Dasar

This study aims to reveal students' abilities in understanding vocabulary in the fields of Indonesian, Mathematics, Arts, Cultural, and Crafts (SBDP), and Citizenship Education. This type of research is descriptive quantitative. The population was all grade 3 students in Kecamatan Banjarmasin Utara who lived in 41 elementary schools. Samples were taken based on probability sampling. The results showed that the comparison of learning outcomes between the groups was as follows: (1) there is one cluster for PPKN, Mathematics, Indonesian and SBDP subjects, (2) there are different PPKN learning outcomes and there is also that is not different, (3) PPKN learning outcomes between other groups are not significantly different, (4) Mathematics learning outcomes are significantly different and some are not different, (5) Indonesian learning outcomes are significantly different and there are also not different, (6) the SBDP learning outcomes between groups were significantly different and some were not.
- Solving the probability regression models by using R programming environment - Case Study For patients Epilepsy in Basra : حل نماذج الانحدار الاحتمالية باستخدام بيئة برمجة R - دراسة حالة لمرضى الصرع –

The technology for dealing with accurate calculations progresses very quickly . and be a major impetus for scientific progress. and the perfect mastery of R in higher levels is necessary for many applications . The R statistical programming environment provides an ideal stage to conduct the study because of its powerful programming capability , graphics and a comprehensive set of statistical functions , it contains more than 11164 packages . The aim is to study the phenomenon of epilepsy and to identify the most important factors affecting patients with epilepsy in the province of Basra. And the cause of this disease of social and economic effects on the patient and his family. and also this study is to solve the probability regression models represented by probit, tobit and logit ,as well as identifying the variables of the study (sex and age) that affect or increase the incidence epilepsy for the data of 2296 patients in Basra. The study design , is the represent by estimating the three probable regression models by probit, tobit and logit for the effect of sex and age factors on the risk of developing epilepsy ,and the tools used is to make statistic program ,then we find the R programming language was give the good and correct answer, Then the statistical analysis using R language in which the written orders are implemented directly without the need to build a complete program to implement the programming statements using the regression function for each probability regression models (Probit, Tobit and Logit) and the results showed that the regression of the probabilistic functions is that both the age factor and the sex factor have a significant effect in the case of the disease in terms of being inpatient or outpatient. This is confirmed by the Wold test. and Also the conclusion shows that functions represented the best representation, which was confirmed by the coefficient of selection as it reached 0.96.
Intelligent Agent Services in Electronic Libraries

Global services with an agent or a multi-agent system are a promising and new research area. However, several measures have been proposed to demonstrate the benefits of agent technology by supporting distributed services and applying smart agent technology in web dynamics. This paper is designed to build a Semantic Web on the World Wide Web (WWW) to enhance the productivity of managing electronic library applications, which poses a problem to researchers and students, represnted by the process of exchanging books from e-libraries, where the process is slow or the library needs large system data.
Combining GCN and Transformer for Chinese Grammatical Error Detection

&lt;p&gt;This paper describes our system at a task: Chinese Grammatical Error Diagnosis (CGED). The task is held by the Natural Language Processing Techniques for Educational Applications (NLP-TEA) to encourage the development of automatic grammatical error diagnosis in Chinese learning since 2014. The goal of CGED is to diagnose four types of grammatical errors: word selection (S), redundant words (R), missing words (M), and disordered words (W). The automatic CGED system contains two parts including error detection and error correction and our system is designed to solve the error detection problem. Our system is built on three models: 1) a BERT-based model leveraging syntactic information; 2) a BERT-based model leveraging contextual embeddings; 3) a lexicon-based graph neural network leveraging lexical information. We also design an ensemble mechanism to improve the single model&amp;rsquo;s performance. Finally, our system achieves the highest F1 scores at detection level and identification level among all teams participating in the CGED 2020 task.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Tense in the Principles of Semantics: الزّمان في قواعد علم المعاني

“Tense in the Principles of Semantics” is a study that discusses tense in one of rhetoric, namely semantics. The significance of this research stems from the fact that it sheds light on tense as an important aspect of language. It also discusses the influence of tense on the formulation and the application of a significant number of the principles of semantics. The present research, then, examines the impact of tense on formulating some of the rules of semantics and seeks to extract the rhetoric meaning that is built on tense in these rules. The researcher has adopted the analytical, descriptive methodology of this research, which is structured in four parts, an introduction, two body analyses and a conclusion. The findings revealed that the syntactic tense was in the verb form, the grammatical tense – which can be deduced from the context- was in the structure, and that the rhetoric tense was in the rhetoric meaning that tense enacts in the structure. It was also found that tense interferes in formulating many principles in semantics. In addition, the study found that tense has a clear impact on recognising the event, since event recognition is bound to tense recognition. Tense also interfered in what rhetoricians know as going beyond the surface to serve other rhetorical purposes. We might express the future using the past tense to reflect the certainty that something will happen. Language also expresses the past using the present tense for rhetorical purposes, like recalling the past event and visualising it as a realty for the addressee, and to show repetition of the verb. Furthermore, the future can be represented using the subject nominalisation or the object nominalisation with the intention of nearing the occurrence of some event in order to warn form it.
The Natural Language Query using NLP by Generation of SQL Query

Database is a primary source of information. This information is accessed by a common man who isn't ready to write SQL query. Now-a-days most of the information is assembled in the form of a database. A user who wants to access a database but having limited or lack of knowledge of database languages, they find it difficult and challenging to access the database. Retrieving needful information from such repositories requires an extensive knowledge of database languages like SQL.However, nobody is in a position to write down the complex SQL queries to extract the useful information.Hence, there is a necessity for a system that enables the users to access the information from the database.A system using NLP by giving structured natural language as an input and receiving SQL query as an output, to access the related information from the database with ease.
Distance Educational Technologies In Independent Work Of Students And Undergraduates

The article analyzes the essence and features of distance learning, highlights its positive aspects, which allow organizing mass continuous self-learning, universal exchange of information, regardless of time and space zones.Minimization of direct communication between the teacher and students, the impact of the teacher's personality, low motivation and self-organization of students make this type of studying not always effective and lead to a decrease in the professional training of students in several areas.The use of distance education technologies in traditional studying allows reducing the negative factors of full distance learning, using all the possibilities of electronic resources.With a view to exploring the attitude of students at the University to distance learning, a survey was conducted, which was attended by 135 students and undergraduates.The results obtained show that the introduction of distance learning is primarily determined by the compliance of education with global development trends.It is preferable when implementing advanced training courses and retraining programs.The main problems of introduction and implementation are associated with a low level of technical and psychological readiness of teachers.The use of distance education technologies, as well as distance learning in general, increases the effectiveness of independent work.Its organization is difficult due to the poor preparation of students for the perception of scientific information, independent work on its understanding, and insufficient involvement in the educational process.Effective implementation of the educational route becomes possible when using modern electronic educational resources.
Compressing Graph Data by Leveraging Domain Independent Knowledge

Graphs are used to solve many problems in the real world.At the same time size of the graphs presents a complexscenario to analyze essential information that they contain.Graph compression is used to understand high level structureof the graph through improved visualization. In this work,we introduce CRADLE (CompRessing grAph data with Domainindependent knowLEdge), a novel method based onknowledge rule called netting, which reports the number ofexternal networks for each instance of the substructure. Byfinding such substructures with more number of external networkswe can judiciously improve the compression rate. Weempirically evaluate our approach using synthetic as well asreal-world datasets. We compare CRADLE with baseline approaches.Our proposed approach is comparable in compressionrate, search space, and runtimes to other well-knowngraph mining approaches.
A Ring-Based Cybersecurity Architecture for Critical Infrastructure

A defense-in-depth (DID) approach for securing critical information infrastructure has been a common method used in cybersecurity. However, holistic design guidelines are lacking which precludes organizations from adopting them. Therefore, this paper sets out to outline and detail a holistic framework using ring-based nested network zone architecture for the design and implementation of highly secured networked environments. The proposed cybersecurity architecture framework offers a structural design for holistically designed N-tier system architectures. Several implementation options, including zoning perimeters, are suggested as being capable of offering different security capability levels by trading off amongst various security aspects. Also, the proposed architecture allows adaptability in implementations for various real-world networks. This paper also proposes an attack-hops verification approach to evaluate the architectural design.
PREPARING FUTURE ELEMENTARY SCHOOL TEACHERS TO IMPLEMENT LEARNING TECHNOLOGY THROUGH RESEARCH

The article is devoted to understanding the essence of learning technology through research and training of future teachers to use it in practice activities. The use of elements of this technology in primary school allows students to join in creative activities, to be interested in activities. Many educators believe that the use of learning technologies in the study needs necessity, because the teacher must be the organizer, observer, researcher of the team and each child individually. Therefore, it is very important that students acquire research skills while still in an educational institution. Analyzing the formation and development stages of research work, we can say that the origin came from the creation of scientific circles, which initially had a scientific, entertainment or political nature. Later, scientific offices, laboratories, and libraries began to be established. After the university reform, scientific societies were organized to stimulate students' scientific and cognitive activities, the purpose of which was to deepen the study of various aspects of science. Writing of term papers, diploma theses, participation in conferences, round tables, competitions of scientific works is widely used in modern institutions of higher education. All this contributes to the activation of the creative scientific potential of each student. The main directions of work and student`s preparation for the implementation of learning technology through research in working with primary school children are analyzed on the example of the student scientific society “Academy” of The Municipal Higher Educational Institution “Lutsk Pedagogical College” of the Volyn Regional Council . It is noted that the number of participants increases every year, which indicates the interest of students and the desire to learn. It is determined that the teacher should promote the development of children's abilities, involve in research work, not be afraid to experiment, create favorable conditions for learning. This is possible when he is able to research and use this technology in practice by himself.