Reviewerly/exHarmony huggingface dataset:
Protection of the Rights of Public Utilities Market Participants (In the Context of Poverty Prevention)

The article analyzes the facility of protection of rights in the public utility market. The main task is to assess the effectiveness of the existing legal approach to solving this problem in the context of preventing poverty of all market participants - consumers, service providers and investors on the principle of «Leave no one aside», reflected in the UN Global Sustainable Development Goals for the period 2015-2030. The study covers three components of the facility for protecting public utilities market participants in the public utilities market: prevention of potential poverty, reduction of existing poverty and compensation to the injured party in a case of tort that exacerbates or threatens to exacerbate its poverty. The analysis is based on official statistical information on the activities of the public utilities sector. Operational information of public utility service providers regarding certain indicators of their activity in the work was not studied. This approach narrows the empirical basis of the study, but at the present stage in the context of different rates of implementation of changes in regions, sectors and at the level of individual entities, as well as lack of uniformity in the structure of indicators published by service providers, analysis allows to identify «bottlenecks» of legal regulation, which are systemic in nature and largely independent of the subjective factor. The analysis allowed to determine the positive impact of targeted subsidies on the effectiveness of the facility of the utilities market participants protection in the context of poverty alleviation, as well as factors that reduce this efficiency, in particular, targeted inconsistency of the legal model of the market, accounting for services and liability for breach of contract for their payment.
The use of logical reference schemes as a means of increasing the level of students’ environmental knowledge

This paper describes theresults of experimental work on the use of logical support circuits as a means of increasing the environmental knowledge of students of technological, economic and graphic arts departments of I.Yakovlev Chuvash State Pedagogical University. The research was carried out from February 2019 to May 2019. During the experiment, students of Technology and Economics Department were selected as a control group, and students of Art and Graphics Department as an experimental group. In the control group, training was carried out without the use of logical support schemes. In the experimental group, the educational process used logical support schemes. The determination of the initial level of ecological knowledge of students of both groups revealed close values of this parameter. After the experiment on the logical reference circuits use in the educational process, a repeated testing was carried out. Its results in both groups were higher than at the initial stage of the experiment. At the same time, when comparing the data of the control and experimental groups, significant differences were revealed. The students who used logical support schemes had significantly higher test scores than the students of the control group.
A concept of an intent-based contextual chat-bot with capabilities for continual learning

Chat-bots are computer programs designed to conduct textual or audible conversations with a single user. The job of a chat-bot is to be able to find the best response for any request the user issue ...
LibGuides: Remote Meeting Applications: Related Topics

This instruction guide is designed to explain the various benefits and features of each software so that you can make an informed decision as to which would be most useful and beneficial to your needs.
Safety risks with ZigBee smart devices : Identifying risks and countermeasures in ZigBee devices with an eavesdropping experiment

With ZigBee being the world’s leading IoT protocol, users are vulnerable to attacks on the wireless communication between ZigBee devices and the information that can be gained from them. For users ...
Study of Ear-Face Index Among the Youth of Madhesis Community of Nepal

INTRODUCTION: Ear is an important complex of the facial complex, which gives an impression of the bearer's age and sex.From aesthetic point of view the shape, size and spatial location of the ears are very important.Any abnormality is an indication of anomaly in the subject.The biometrics of ear is a very interesting issue as during crime scene investigation, ear marks and measurements are often used for identification in the absence of valid fingerprints.Ear biometrics can positively identify an individual using comparative analysis of the human ear and its morphology.MATERIALS AND METHODS: This study was carried out among residents of Ramnagar Gaupalika-7, Sarlahi,Nepal, one of the core region of Madhesh Nepal dated Jan2020 to March2020 .The cohort consists of independent adults of age group 17-35 and consenting adults from the metropolis.Ethical approval was sought and obtained from the supervising ethical committee of the Nobel Medical College Teaching Hospital, Biratnagar, Nepal.Consent for the recruitment of the subjects were taken from the subjects by taking written consent.Subjects were randomly selected and those that had scars on the ears other than the usual ear piercing for rings and those with observable defect or growths were excluded from the study.No interventions or investigations were done.Only digital photography were taken.This caused no harm to the subjects.The photographs were used for research purpose only.Sample size: 50 male and 50 female.RESULTS: Mean facial height of 193.92 (19.66) mm. for males was significantly longer than the facial height of women 169.68 (17.21) mm.The ear face indices were 33.86 (3.18) % and 33.08 (3.05)% in males, right and left respectively and 36.76 (3.55)% and 35.40 (3.44)% in females.The mean ear heights were 65.25(5.88)mm for right ear and 63.80 (5.95) mm for left ear for the male individuals.Whereas for female the mean ear height for right side was 62.06 (3.79) mm and 59.69 (3.86) mm for left ear.There were significance differeneces between both the ear height in both the genders male and female.DISCUSSION: Significant variations exist between the male and the female sexes in height of ear as well as the facial height and ear-face index.Several studies have indicated that male facial height was higher than female's. 13This study has also confirmed that the length of face in case of male individual is significantly larger than that of the female.The ear-face index also concludes that the larger index in case of female as compare to the male might be because of the aesthetic purpose.CONCLUSION: Significant variations do exist among ethnic groups and, and sexual dimorphism also do exist.The data obtained in our study may be useful as a reference for facial analyses that will be further useful in anthropological research, forensics, genetic research, medical clinical practice (reconstructive surgery) and in cosmetology.This study will serve as a basis of comparison for future studies in other ethnic group of Nepali population.
Assessing lecturer’s readiness for online learning implementation during COVID-19 outbreak

The COVID-19 outbreak is prompting many public and private universities to abruptly and comprehensively adopt online learning in place of face-to-face classes, to limit transmission of the virus Academicians, students, and support staff are all working to accommodate this massive change A survey research on the student, lecturer, and institutional readiness for online learning can help institutions better understand pre-COVID-19 perspectives This study focuses on a case of Universiti Utara Malaysia (UUM) online education This paper summary is one of a series of reports outlining higher education's readiness to move teaching and learning online to preserve and continue its educational mission during the current pandemic Thus, questionnaire is distributed to all lecturers in UUM The collected data is measured by Likert Scale of 1 to 5 and analyzed using IBM SPSS® software The overall result has shown that lecturers in UUM are ready for online teaching during the lockdown period However, there are several issues need to be rectified by the management of the university in preparing lecturer to convert their teaching and learning to online learning As such, more training is required by the lecturer especially related to technological and online learning tools Additionally, a reliable online learning platform is a must for the lecturer to endeavor this new experience © 2020, Ankara University All rights reserved
Artificiell intelligens och framtidens IT- arbetare : En undersökning av IT- studenters uppfattningar om AI

This study presents perceptions towards AI among the future IT-worker, IT-students. The attitudes and perceptions of AI and the future of AI differentiate from scientist to scientist. AI is a curre ...
以 Princeton WordNet 爲通用語言的 韓語詞匯語義網 KorLex 的特性及應用

The paper introduces KorLex, Korean WordNet, which uses Princeton WordNet (PWN) as a reference model as well as a pivot that provides KorLex with the multilingual interface. Sub-section 2.1 describes the background for which we intended to build KorLex by ourselves, and the motivations for which we selected PWN as a reference model among other wordnets. Sub-sections 2.2 and 2.3 deal with the semantic features that share both PWN and KorLex, and the linguistic features that we attach to KorLex in order to improve Korean Language Processing (KLP). Section 3 presents two representative applications of KorLex in the field of Natural Language Processing: (1) in KLP environment, that we have developed for the last 30 years, and for which we decided to elaborate KorLex version 1.5 and to attach the sophisticate information of Korean language to the version 2.0; (2) in multilingual environment, , which would not be successfully developed without the hierarchical semantic structure of KorLex as well as PWN, since the hierarchy enables K2KSL MT to solve logically the notorious ‘data sparseness (= lack of lexicon)’ problem that KSL encounters during the translation process, like in other bilingual or multilingual MT systems.
ANALISIS STRATEGI PEMBELAJARAN IPA DALAM BUKU TEMATIK KURIKULUM 2013 KELAS IV SD

This article aims to find out the relevant strategies for use in science lessons, thematic books K-13 class IV theme 2 in MI / SD. The research method used is the library research approach. Data collection is carried out by examining various journals, books and documents both printed and electronic which are relevant to research studies. The results showed that the relevant learning strategies used were experiential learning strategies with experimental methods and field observations. This strategy provides a real picture because students are in direct contact with objects and nature during the learning process. The benefits of this study provide information related to relevant learning strategies for science lessons, thematic books K-13 class IV theme 2 in MI / SD.
Data Security using Cloud Computing Adaption Framework

Abstract It is important to provide real-time data security for huge amount of data in cloud computing. A recent survey on cloud security stated that security of users’ data has the highest priority as well as concern. This can be able to achieve with an approach, which is systematic, adoptable and well structured. Therefore, here a framework called as Cloud Computing Adoption Framework (CCAF) has been developed which has been customized for securing cloud data. This paper presents the overview, components in the CCAF, which enables data security. CCAF is designed to provide multi-layered security. Since the Data Centre has 10 petabytes of data, there is a huge challenge to provide real-time protection and quarantine. In order to simulate how data in use, here we make use of Business Process Modelling Notation (BPMN). The use of BPMN simulation will allow evaluating the chosen security performances before actual implementation. Results show that the time taken for controlling security breach is between 50 and 125 hours. This means that additional security is required to ensure that all data are well protected in the crucial 125 hours. This paper has also demonstrated that CCAF multi-layered security is able to protect data in real-time and it has three layers of security: (1) firewall and access control; (2) identity management and intrusion prevention and (3) convergent encryption. To validate CCAF, this paper has considered ethical-hacking experiments involved with penetration testing with 10,000 Trojans and viruses. The CCAF multi-layered security is going to block 9,919 viruses and Trojans, which can be destroyed in seconds, and it quarantines or isolates the remaining viruses and Trojans. Although there is a decrease in percentage of blocking for continuous injection of viruses and Trojans, 97.43 percent of them can be quarantined can be shown by the experiment. Our CCAF multi-layered security gives an average of 20 percent better performance compared to the single-layered approach, which could only block 7,438 viruses and Trojans. When CCAF is combined with BPMN simulation it can be more effective in order to evaluate security process and penetrating testing results. Keywords: Cloud computing adoption framework (CCAF), Business Process Modelling Notation (BPMN), Penetration test, multi-layered security protection Cite this Article Safeeda, Savitha C.K., Prajna M.R. et al. Data Security using Cloud Computing Adaption Framework. Journal of Computer Technology & Applications. 2016; 7(3): 25–32p.
Quantum Fully Homomorphic Encryption without Preprocessing.

We present a novel quantum fully homomorphic encryption (QFHE) scheme. In our scheme, any quantum circuit can be directly evaluated with no need to be decomposed into Clifford/non-Clifford gates, or be transformed into the real-representation frist. This advantage makes our QFHE more convenient to evaluate the general quantum algorithms than the previous QFHE schemes. Theoretically, our main technique allows one to perform the conditional rotation with the control bit in encrypted form. This technique builds upon a specific kind of so-called quantum capable FHE schemes. The security of our scheme relies on the hardness of the underlying quantum capable FHE scheme, which bases its security on the learning with errors problem and the circular security assumption.
Approaching lexical-semantic ambiguity in translation: what research demands.

This article aims at defining the role of lexical-semantic ambiguity in translation studies. Lexical-semantic ambiguity has been the focus of many research areas, especially in the field of psycholinguistics and foreign language acquisition. The primary focus in this kind of research has been on demonstrating how lexical-semantic ambiguity affects information retrieval in language users. In translation studies, the role of lexical-semantic ambiguity has been under researched. The current article is aimed at exploring the approach to lexical-semantic ambiguity in translation studies through a literature overview, demonstrating the need for further research on the topic.Palabras clave: Translation, lexical-semantic ambiguity, second-language acquisition. ABSTRACTLa ambiguedad lexico-semantica ha sido abordada en varias investigaciones, especialmente en las areas de la psicolinguistica y la adquisicion de lenguas extranjeras. Sin embargo, en las investigaciones traductologicas la ambiguedad lexico-semantica ha sido insuficientemente abordada. El presente articulo por tanto tiene como objetivo explorar los enfoques de la ambiguedad lexico-semantica a traves de una revision bibliografica, lo cual contribuye a demostrar la necesidad de investigacion acerca del tema.Keywords: Traduccion, ambiguedad lexico-semantica, adquisicion de segundas lenguas.
Approximate Probabilistic Inference with Composed Flows

We study the problem of probabilistic inference on the joint distribution defined by a normalizing flow model. Given a pre-trained flow model p(x), we wish to estimate p(x2∣x1) for some arbitrary partitioning of the variables x=(x1,x2). We first show that this task is computationally hard for a large class of flow models. Motivated by this hardness result, we propose a framework for approximate probabilistic inference. Specifically, our method trains a new generative model with the property that its composition with the given model approximates the target conditional distribution. By parametrizing this new distribution as another flow model, we can efficiently train it using variational inference and also handle conditioning under arbitrary differentiable transformations. Since the resulting approximate posterior remains a flow, it offers exact likelihood evaluation, inversion, and efficient sampling. We provide an extensive empirical evidence showcasing the flexibility of our method on a variety of inference tasks with applications to inverse problems. We also experimentally demonstrate that our approach is comparable to simple MCMC baselines in terms of sample quality. Further, we explain the failure of naively applying variational inference and show that our method does not suffer from the same issue.
Utilization of Information Technology in Women Boarding High Schools to Support Learning Activities

The use of information technology media becomes very important when the needs are increasingly complex or schools are in the development stage because with the use of information technology media teaching and learning activities can be carried out quickly and centrally. In female boarding schools, the use of technology really needs to be considered considering the activities that are so dense both intraculricular and extracurricular activities, on the other hand, Aisyiyah Boarding School Malang High School has quite high activities outside the school, this is evidenced by the many achievements they have from the local to the national level. . At the time this research was conducted, all countries in the world were experiencing the Covid-19 pandemic and required all activities to run online, so this research was conducted to determine the use of information technology at ABSM High School to support teaching and learning activities. The variables used in the study include new desire and interest in learning, motivation and interest in learning, understanding in learning. The research method includes research assumptions and definitions, data collection, analysis of initial conditions, preparation of questionnaires, descriptive analysis. Respondents were students of class X, XI, and XII of SMA ABSM, with a total of 30 respondents who were all ABSM high school students. The results show that in general the use of information technology media can support the teaching and learning process in the school environment for both intraculricular and extracurricular activities.
LibGuides: Start Reading Literature Classics for Everyone: Home

An introduction for readers who are interested in reading the classics, including lists, recommendations, themes, and genres.
A Study on Description Methods Using the Connective Ending ‘아/어서야(a/eoseoya)’ for Korean Education –Focused on the Rhetorical Question–

This study aims to clarify the characteristic of the connective ending “-아/어서야” when used as a rhetorical question and suggest description methods for Korean education. To achieve this, the definition of “-아/어서야” is analyzed, and the usage of “-아/어 서야” in rhetorical questions are classified into “-아서야 되겠-” and the premise “-아서야” to reveal syntactic and semantic characteristics. The study shows that the variation of the “-아서야 되겠-” sentence structure and the combination of pre-final endings related to tenses are not possible, and semantically, the preceding clauses are inappropriate and it should not be executed. Secondly, regarding the premise “-아서야”, combining with pre-final endings related to the tenses is not possible, and only the verb can be used as a predicate in the following clauses. Semantically, this implies that when a preceding clause is executed, the following clause cannot be used. Based on the analysis, this study, using a simple and clear meta language when describing the meaning and suggesting similar grammar examples to help learners understand, asserts that the description of “-아/어서야” in Korean education should be divided into “-아서야 되겠-” and the premise “-아 서야”. Also, suggestions to schematize sentence structures and to present various examples are made. (Kyung Hee University)
Algoritma Support Vector Machine Untuk Klasifikasi Sikap Politik Terhadap Partai Politik Indonesia: Algoritma Support Vector Machine Untuk Klasifikasi Sikap Politik Terhadap Partai Politik Indonesia

The use of social media that is increasingly easy and affordable becomes a new forum for Indonesian people to express their thoughts freely. Included in the preparation period for a democratic party held every five years. The public can freely believe through the social media they have, especially through twitter. People who come from different backgrounds often provide opinions that can lead to pros and cons. It can be used as feedback on political parties that carry presidential, vice-presidential, and successful team candidates so that they will be useful in potential assessments and can be used for better purposes. Sentiment analysis is done by sorting data from Twitter which is an opinion on political parties and the executive candidates they carry. The data is divided into 2 categories, positive and negative categories. The methods that will be used for sentiment analysis include preprocessing, word staining with TF-IDF, and making a classification model with the Support Vector Machine and K-Fold Cross Validation approach to test the accuracy of the model. The result of making a classification model is Support Vector Machine with training data of 900 to get 86% accuracy and testing using 10-Fold Cross Validation get an average accuracy rate of 71% with an error rate of 29%
PEER LEARNING – PARADIGMATIC FOUNDATIONS AND PRACTICAL MILESTONES

The peer learning approach begins with a mindset, moves to behaviors, and ends with results. Oneʼs need for peer learning behaviors increases as the situation becomes less routine, the stakes become higher, emotions become more intense, points of views increasingly differ, or something unexpected happens. The teacher is no longer the only master of knowledge. He accompanies the students in search of information and has the role of teaching them how to manage the flow of information. The aim of the paper is to explore the use of peer learning, ways of optimization, and issues that need to be considered by teachers and pupils.
The Visual Analytics and Data Exploration Research Lab at Arizona State University

This article describes the research agenda for the Visual Analytics and Data Exploration Research (VADER) Lab at Arizona State University. Over the past decade, the VADER Lab has focused on creating novel algorithms, tools and visualizations for spatiotemporal data. This article will highlight past success in spatiotemporal analysis, explainable AI, graph mining, and mathematical topology. While, at first, these topics seem largely disjoint, we will describe how the underpinnings of spatiotemporal analysis has informed the various research directions in the VADER Lab, and how this research agenda has served to form a network of strong international collaborations. Finally, we will outline a vision for the Lab’s future research.