Reviewerly/exHarmony huggingface dataset:
Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain

Neural machine translation (NMT) has set new quality standards in automatic translation, yet its effect on post-editing productivity is still pending thorough investigation. We empirically test how the inclusion of NMT, in addition to domain-specific translation memories and termbases, impacts speed and quality in professional translation of financial texts. We find that even with language pairs that have received little attention in research settings and small amounts of in-domain data for system adaptation, NMT post-editing allows for substantial time savings and leads to equal or slightly better quality.
Investigating the relationship between students’ Self-monitoring awareness in reading and their perceptions about reading comprehension.

This study aims to investigate the relationship between students’ perceived selfmonitoringawareness and their perception on reading. The reason for conducting thisresearch is to see if students sel ...
Note-Taking Pairs Strategy Towards Students’ Critical Thinking Ability In Reading Comprehension

This study aimed to seek the effect of the Note-Taking Pairs strategy on the students' critical thinking skill in reading comprehension. This study used an experimental method with pre-test and post-test design. The research sample covered class XI-IPA2 which was used as an experimental group and consisted of 26 students and class XI-IPA1 was used as a control group consisting of 26 students. The instruments used in collecting data were reading test in the form of multiple-choice and observation sheets of critical thinking skills. The finding data were subsequently analyzed by using SPSS 18. The t-test results showed that the t-test value (1.754) was higher than the t-table (1.671) at the significance level 0.05. Therefore, based on these results, it can be concluded that there is a positive effect from the use of the Note-Taking Pairs strategy on the students' critical thinking skill in reading comprehension at the eleventh-grade students of SMAN 2 Narmada.
The impact of bias on the predictive value of EHR driven machine learning models.

The  rapid  digitization  in  the  health  care  sector  leads  to  an  increaseof  data.  This  routine  collected  data  in  the  form  of  electronic  healthrecords (EHR) is not only used by med ...
Polynomial functions of the ring $\mathbb{Z}_m[\alpha]$ of dual numbers modulo $m$

For any ring $R$, the dual numbers ring over $R$ is $R[\alpha] = R[x]/(x^2)$.We characterize when a polynomial $f\in R[\alpha][x]$ is a null polynomial or apermutation polynomial on $R[\alpha]$ in terms of the behaviour of itscoordinate polynomials $f_1,f_2\in R[x]$, where $f=f_1+f_2\alpha$, on $R$. By means of determining the order of the pointwise stabilizer of the subringof constants $\mathbb{Z}_{p^n}$ in the group of polynomial permutations of$\mathbb{Z}_{p^n}[\alpha]$ we derive explicit formulas for the number ofpolynomial functions and polynomial permutations on $\mathbb{Z}_{p^n}[\alpha]$for $n\le p$.
Vocabulary Learning Strategy Used By English Good Achiever : A Case Study At Seventh Grade Students In MTS N 4 Klaten

The researcher formulates the objective of the study was to describe the metacognitive, cognitive, and sosioaffective vocabulary learning strategy used by students in MTs N 4 Klaten. This researcy type of method was the qualitativ descriptive. The subject of this research was seventh grade student in MTs N 4 Klaten consist of 6 students, 3 male and 3 female. In this study, data was collected using open ended interviews, independent interviews, with guide line interview based on O’malley Taxonomy. as explained in the research instrument. The result of this finded was the metacognitive vocabulary learning strategies used by students there are six subsets of strategies advance organizer, selective attention, self management, self evaluation, self monitoring, and functional planning. The functional planning was dominant strategy with 100%. The cognitive vocabulary learning strategies used by students there are five subsets of strategies are recombination, keyword, repetition, note taking, an imagery. The repetition and note taking was dominant strategy with 83%. The socioaffective vocabulary learning strategies used by students type learning with together or group, there are 83%. The selection of strategies determined adapted to the material to given students in the learning vocabulary on these three categories (metacognitive, cognitive and sosioaffective).
Web Application Security Policy

The purpose of this policy is to enforce that web applications maintain the security posture, compliance, risk management, and change control of University IT Resources.
USING GOOGLE LENS AUGMENTED REALITY TOOL TO PROVIDE STEM EDUCATION IN BIOLOGY LESSONS

Implementation of approaches which increase student’s motivation to study is embedded in national and international strategic programs, in particular, the New Ukrainian School concept and the Education 2030 strategy (UNESCO), and the main trends are outlined in the Europe development strategies 2020 and Europe 2030. A promising approach to enhancing student motivation is to use information technology in teaching. Augmented reality tools allow to immerse a student in the learning process through the combination of the real world and the virtual environment. However, these approaches are hardly used in the Ukrainian educational process. This is due to the lack of an intuitive software interface. Google Lens is one of the promising augmented reality tools that increase students' motivation for learning. It is affordable and easy to use and has a multilingual interface. Google Lens is integrated with Google Photos and Google Camera, which can be used on any Android device running Android 4.4 or higher and iOS. According to the study, the accuracy of Google Lens recognition is 92.6%. Only in 7.4% of cases, Google Lens did not give a positive result. This indicator is quite high and much higher than a possibility of a teacher to determine species diversity of plants. Thus, the use of this tool, especially in the conditions of expeditions and excursions, is relevant. For the first time the article highlights the peculiarities of Google Lens, such as the lack of ability to analyse endemic plants (ethno-Ukrainian), which rarely represented in the web-resources, and the impact on the quality of the analysis of the basic parameters of photography. Google Lens characterised by high potential for use in STEM / STEAM classes because it facilitates the implementation of the scientific method. To encourage the use of this tool, we have developed a technique that is available online on the website stemua.science.
Gli ispanismi nella lingua italiana e nei suoi dialetti, in prospettiva diacronica

The use of Spanish words “ispanismi” in the Italian territory has been an active phenomenon for centuries. The geographical proximity between Spain and Italy, political-commercial and cultural rela ...
Research and Application of Unconventional Gas Wellsite Ground and Underground Integration System

Based on the coalbed methane ground, geology, production, engineering big data applications, as well as the construction of an on-ground and underground engineering geological integration database, we considered establishing a unified wellsite deployment platform. The SOA data-service-application framework is adopted to realize intelligent management of gas fields. We developed functional modules such as wellsite deployment inquiry, wellsite deployment environment research, and program optimization report. We realized the deployment of ground and underground also the geological engineering integrated wellsites to reduce the waste of time resources and human resources caused by the contradiction of underground and ground deployment.
LibGuides: ELD Collection Development: Other Collections related to Scholarly Communications

Companion libguide to the 3 hour workshop at ASEE Tampa, Florida on June 16, 2019. http://guides.library.cornell.edu/eldcollections
Investigating the impact of the use of security equipment in the confrontation with the arrival of alcoholic drinks "Case Study of Ghorveh City"

The subject of the present study is to investigate the effect of the use of law enforcement equipment on the criminal response to the arrival of alcoholic beverages in the city of Ghorveh.This research has been conducted with a quantitative and survey approach and a researcher-made questionnaire.The statistical population of the study consisted of 20 expert police officers, responsible and knowledgeable in the subject of the city of Ghorveh and all of them were tried to complete the questionnaire.Validity and reliability of the research tool (questionnaire) were determined through face validity and Cronbach's alpha test using Spss software.In describing the research fields, the results showed that most respondents were distributed in the "large" and "very large" spectrum.In other words, the majority of respondents believed that the use of appropriate security equipment to counteract the smuggling of alcoholic beverages in Qorveh city has been effective in preventing this issue.According to the results of this research, the use of appropriate equipment to fight smuggling of alcoholic beverages in the country as a whole, and in particular in the city of Ghorveh, is extremely effective and effective.According to respondents, the use of modern and new car equipment (With an average response of 4.85 points) As well as the use of databases (With an average response of 4.65 points) In Ghorveh, the city has the most impact on the fight against smuggling of alcoholic beverages.
Squeezing and Accelerating Neural Networks on Resource Constrained Hardware for Real Time Inference

As the internet user base increases over the years, so do the logistic difficulties of handling higher and higher volumes of data. This large amount of information is now being exploited by Artific ...
LibGuides: ELD Collection Development: Major Players - Publishers and Vendors

Companion libguide to the 3 hour workshop at ASEE Tampa, Florida on June 16, 2019. http://guides.library.cornell.edu/eldcollections
WITHDRAWN: Multi-sensor integration and data fusion for enhancing gait assessment in and out of the laboratory

This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal
Evidence Distilling for Fact Extraction and Verification

There has been an increasing attention to the task of fact checking. Among others, FEVER is a recently popular fact verification task in which a system is supposed to extract information from given Wikipedia documents and verify the given claim. In this paper, we present a four-stage model for this task including document retrieval, sentence selection, evidence sufficiency judgement and claim verification. Different from most existing models, we design a new evidence sufficiency judgement model to judge the sufficiency of the evidences for each claim and control the number of evidences dynamically. Experiments on FEVER show that our model is effective in judging the sufficiency of the evidence set and can get a better evidence F1 score with a comparable claim verification performance.
Abelian group factorization from perfect codes

In this paper, we give a factorization of certain p–groups using non–trivial perfect codes (Hamming and Golay codes). The factorization consists of two sets, one corresponding to the perfect code and the other corresponding to the codewords in the Hamming sphere with center at the zero codeword and radius one (Hamming code) and three (Golay code). Non–perfect codes are also considered in such construction and we give the necessary condition for the factorization in terms of the parity check matrix of the code.
Leolani : A robot that communicates and learns about the shared world

People and robots make mistakes and should therefore recognize and communicate about their “imperfectness” when they collaborate. In previous work [3, 2], we described a female robot model Leolani(L) that supports open-domain learning through natural language communication, having a drive to learn new information and build social relationships. The absorbed knowledge consists of everything people tell her and the situations and objects she perceives. For this demo, we focus on the symbolic representation of the resulting knowledge. We describe how L can query and reason over her knowledge and experiences as well as access the Semantic Web. As such, we envision L to become a semantic agent which people could naturally interact with.1.
A Fuzzy Approach to Mute Sensitive Information in Noisy Audio Conversations

Audio conversation between a service seeking customer and an agent are common in a voice based call center (VbCC) and are often recorded either for audit purposes or to enable the VbCC to improve their efficiency. These audio recordings invariably containpersonal information of the customer, often spoken by the customer to confirm their identity to get personalized services from the agent. This private to a person (P2aP) information is the recordings is a serious concern from the GDPR perspective and can lead to identity the ftamong other things. In this paper, we propose a robust framework that enables us to reliably spot the P2aP information in the audio and automatically mute it. The main contribution of this paper is the proposal of a novelfuzzy criteria which by design allows for reduced false alarms and at the same time increases the accuracy of the muting process even when the speech to text conversion process is erroneous. Evaluation on real call center conversations demonstrates the reliability of the proposed approach.
Digital and Maker Pedagogy as a way to expanded mind

To achieve these objectives we propose to strengthen the dialogue between teachers and students, both as learners, bringing dodiscence to the insertion of the digital habitus, in teacher's praxis.
Administrative management of universities: background and consequences

The aim of the study is to empirically substantiate the theoretical analysis of the prerequisites, challenges and trends of modernity, causing global changes in the management system of modern universities. These include massing, the pragmatism, standardization, marketization. These trends determine the transformation of the management system of universities in the direction of administration, which, on the one hand, acquires the ability to meet the challenges of our time, and, on the other hand, reproduces the pathological processes characteristic of quasi-corporations. Methodology. The sociological study was aimed at studying the dispositions of the participants of the educational process regarding the negative consequences arising in the management system of the University. For this purpose, General scientific and private scientific methods were used: comparative and system analysis, bibliographic research, analysis of documentary sources. Data collection was carried out with the help of a sociological survey of respondents, in-depth interviews of experts. The results were processed in Vortex and Microsoft Excel. Main conclusions. The authors identified and analyzed the possible benefits and negative consequences of excessive expansion of the scope of administrative practice in higher education. These include reduced interest in work, reduced creative activity and limited opportunities for creativity, the image of activity at the expense of real activity, quantitative growth of the management apparatus, nepotism and favoritism, violation of the integrity of  information flows, unjustified formalization of internal processes, loss of confidence in the leadership. Novelty / originality of this study. The materials of the study allow us to expand our understanding of the management system of administrative type universities, its advantages and disadvantages. The results of diagnostics can be used in the activities of state bodies managing the system of higher education, higher educational institutions in the process of improving the management of the University.
Pengembangan Manajemen Perpustakaan sebagai pusat informasi dan pendidikan di STAIMA Al-Hikam Malang

The development of Library Management as an information center is important because the development of good library management will be able to support the learning process, the development of management in the library has a reference that is planing, organizing, actuating and controlling. Establishment of POAC Reference certainly does not want a stagnant library in Management Development, but POAC Reference wants Development in Library ManagementThe research method used is descriptive analytical research method. that is to say some possibilities to solve the actual problem by collecting data, compiling, or classifying it, analyzing and interpreting it.Â Â Â Â Â Â Â Â Â Â Â Â Â Â The object of research is the Library of the Islamic High School Library (STAIMA) Aly Al-Hikam MalangÂ Â Â Â Â Â Â Â Â Â Â Â Â Â The results of the study stated that the STAIMA Al-Hikam Malang Library in the development of Library Management has an advanced program in the next 5-10 years, namely: 1. Management of services using the Loan (delivery order) model and repayment via Drop Box or delivery order applications, Extension through Mandiri website, service is open 24 hours nonstop. 2. Management Development in the Information Technology Section, namely increasing digital collections. 3. Security System with Big data, Anti-virus, digital preservation, RFID.Â Â Â Â Â Â Â Â Â Â Â The aim of the research measures so far about libraries as information centers to support education by having library management that is not only stagnant but has a better management development program
JacquardToolkit: enabling interactions with the Levi's Jacquard jacket.

JacquardTooIkit enables full access to the Levi's Jacquard Jacket and the ability to create gestures such as our new Force Touch gesture. We conduct a 25 participant user study testing all available gestures for accuracy and intuitiveness. Brush In and Brush Out are rated highly intuitive and have high recognition accuracy.
Stockholm Syndrome Reflected On Danielle Steel UndercoverNovel (2015): A Sociological Approach

This study focuses on the issue of Stockholm syndrome found in the novel Undercover byDanielle Steel (2015). The theory used to analyze this novel is the sociology approach. Thisstudy aims to analyze the indicators of Stockholm syndrome found in the novel, how Stockholmsyndrome is described in the novel, and the reason the author states this issue in the novel. Theauthor uses two types of data to analyze this research, namely primary data and secondary data.The primary data used is the Undercover novel by Danielle Steel while the secondary dataconsist of journals, websites, electronic dictionaries related to this issue. There are three resultsof research on this novel. First, there are five indicators related to the issue of Stockholmsyndrome, namely the emergence of positive feelings for kidnappers, brainwashing, romanticrelationships, the emergence of negative feelings towards saviors, and emotional ties. Second,the author describes the issue of Stockholm syndrome through character, events, setting andstyle. Third, the author states that the Stockholm syndrome issue in this novel is based on socialphenomena found in U.S, that was the kidnapping of Patty Hearst in California in 1974.
An Empirical Study on the Happiness of Return Migrants in China: The Potential Effect of Migration Experiences

With the large-scale rural labor exodus since the mid-1980s, the number of return migrants has been increasing in recent years. Prior studies mostly focus on the happiness of one-way migration from countryside to city. However, more and more migrant workers have returned to countryside from city nowadays and they have experienced two-way migration. Their happiness is likely to be shaped by two social reference points, both the countryside and the city. Based on the data collected by China Household Income Survey Project（CHIPS2013）in 2013, this study explores the impact of life experience of migration on the happiness of rural residents by employing the propensity score matching method（PSM）and instrumental variable to control the endogeneity. The main findings are as follows: First, compared with the rural stayers who have never migrated, migration experience significantly reduces the happiness of return migrants. Second, compared with the rural stayers, migrant workers are more likely to be influenced by urban environment as a new reference point, therefore suffering from a stronger relative deprivation”. As a consequence, they tend to have a lower level of happiness. To improve the subjective well-being of the increasing scale of return migrants and to effectively explore their accumulated human capital suggest a new concern for policy-makers.
EFFECTIVENESS OF CHEMISTRY LEARNING-APP FOR NIGERIAN UNDERGRADUATES IN A BLENDED LEARNING ENVIRONMENT

Learning application are applications developed for learning purpose using mobile technologies to enhance students learning. However, in spite of the rapid use of mobile devices among undergraduates in Nigerian Universities, many students use mobile devices for unproductive activities. Hence, this study therefore, focused on the effectiveness of Chemistry Learning-App for Nigerian Undergraduates in a Blended Learning Environment. The objectives of this study was to (i) determined experts’ rating of the developed Chemistry Learning-App;(ii) examined the effectiveness of the Chemistry Learning-App on undergraduates’ academic performance in a blended learning environment and those taught with conventional lecture method; (iii) examined the influence of gender on academic performance of  undergraduates exposed to Chemistry Learning-App in blended learning environment. The research instruments used were; Chemistry Learning-App, Students’ Academic Performance Test and Experts Rating of the Chemistry Learning-App with the reliability value of .71. This study used quasi pretest posttest of non-equivalent experimental design. A total of 60 undergraduates were sampled for the study. The study concluded that undergraduates exposed to Chemistry Learning-App performed better than their counterpart taught using conventional lecture method. The implication is that Chemistry academic performance of undergraduates would improve if students are exposed to the developed Leaning-App. It was recommended among others that undergraduates should complement instruction with the use of the developed Learning-App.
Using eye tracking to study variable naming conventions and their effect on code readability

Using camel case when naming variables is largely considered to be best practise when writing code these days. But is it really the best variable naming convention when it comes to code readability ...
Reform of Classroom Teaching Model Based on Online Open Course

This paper elaborates on the general environment of curriculum reform, the construction of online open courses and the content of curriculum reform, and explores the reform of teaching mode based on online open courses, to make clear the direction of efforts, adapt to and promote the healthy development of this new teaching mode.We expect to provide useful reference on building online open courses and development of teaching for colleges and universities.