Reviewerly/exHarmony huggingface dataset:
Analysing Word Representation from the Input and Output Embeddings in Neural Network Language Models

Researchers have recently demonstrated that tying the neural weights between the input look-up table and the output classification layer can improve training and lower perplexity on sequence learning tasks such as language modelling.Such a procedure is possible due to the design of the softmax classification layer, which previous work has shown to comprise a viable set of semantic representations for the model vocabulary, and these these output embeddings are known to perform well on word similarity benchmarks.In this paper, we make meaningful comparisons between the input and output embeddings and other SOTA distributional models to gain a better understanding of the types of information they represent.We also construct a new set of word embeddings using the output embeddings to create locally-optimal approximations for the intermediate representations from the language model.These locally-optimal embeddings demonstrate excellent performance across all our evaluations.
Observation as a research method in social science

The aim of the article was to present the main ideas of observation viewed as one of the oldest research methods in social science.Design/methodology/approach: As a result of the undertaken research process, 401 theoreticians of management science were surveyed.Findings: Conclusions resulting from the conducted research clearly indicate that among the methods applied in practice for research in management science, based on observation of facts and classification used in the general methodology of inductive sciences, it is necessary to employ observations carried out in natural conditions and observations-interventions that take place as part of management activities in the surveyed entities.Originality/value: Management science and methods should support business practice and, to some extent, provide guidance to executives and managers.
Master Peter: A Few Sidelights on Daniil Kharms’s Biographical Myths

The publication outlines the lifestory of the stage artist and decorator P. P. Snopkov, the former husband of the artist A. I. Poret and a member of the circle of friends of Daniil Kharms. Using the documents discovered in the archives of the Federal Security Service, the author traces the history of Snopkov’s arrest in the besieged Leningrad, in order to establish the sources and essence of the charges against him. The data on the investigation of Snopkov, protocols of interrogations and confrontations have not previously been published.
Converting the Point of View of Messages Spoken to Virtual Assistants

Virtual Assistants can be quite literal at times. If the user says “tell Bob I love him,” most virtual assistants will extract the message “I love him” and send it to the user’s contact named Bob, rather than properly converting the message to “I love you.” We designed a system to allow virtual assistants to take a voice message from one user, convert the point of view of the message, and then deliver the result to its target user. We developed a rule-based model, which integrates a linear text classification model, part-of-speech tagging, and constituency parsing with rule-based transformation methods. We also investigated Neural Machine Translation (NMT) approaches, including LSTMs, CopyNet, and T5. We explored 5 metrics to gauge both naturalness and faithfulness automatically, and we chose to use BLEU plus METEOR for faithfulness and relative perplexity using a separately trained language model (GPT) for naturalness. Transformer-Copynet and T5 performed similarly on faithfulness metrics, with T5 achieving slight edge, a BLEU score of 63.8 and a METEOR score of 83.0. CopyNet was the most natural, with a relative perplexity of 1.59. CopyNet also has 37 times fewer parameters than T5. We have publicly released our dataset, which is composed of 46,565 crowd-sourced samples.
Strong Equivalence for LPMLN Programs

LP MLN is a probabilistic extension of answer set programs with the weight scheme adapted from Markov Logic.We study the concept of strong equivalence in LP MLN , which is a useful mathematical tool for simplifying a part of an LP MLN program without looking at the rest of it.We show that the verification of strong equivalence in LP MLN can be reduced to equivalence checking in classical logic via a reduct and choice rules as well as to equivalence checking under the "soft" logic of here-andthere.The result allows us to leverage an answer set solver for LP MLN strong equivalence checking.The study also suggests us a few reformulations of the LP MLN semantics using choice rules, the logic of here-and-there, and classical logic.
Methods and Techniques for Designing Mobile Websites An evaluation study of Egyptian Libraries Websites Designs

The study aims to identifying the modern techniques used in designingand developing mobile websites and measuring the readiness of the EgyptianLibraries Website Designs for the requirements of making them available andbrowsing their content and services through mobile devices to the users'audience, based on the Descriptive Methodology in determining the currentsituation and Its data collection, processing, and analysis of its technicalcomponents provide an accurate analysis of the quality of its performance and itsaccessibility per successful practices in mobile websites.The study relied on collecting its information and analyzing its elementson a checklist that included (60) variable elements that were selected from thepublished literature in mobile website technologies, as well as what was includedin the technical tools used for testing the technical designs of the EgyptianLibraries Websites available on the World Wide Web. The study revealed that(32) websites are available for Egyptian libraries that are not accessible via theweb and that (59%) of them are configured to browse and display their contentsin a compatible way with mobile devices.The study concluded with several Recommendations addressed to thedesigners and developers of Egyptian library web sites, scientific departments forlibrary and information studies in Egyptian universities, and finally the EgyptianAssociation for Library and Information (ELA) as the institution for thedevelopment sector of libraries and information in Egypt.
ANALYSIS OF DRAINAGE CHANNEL CAPACITY AT SINDANG STREET IN SINDANG HOUSE PUMP AREA

&lt;p&gt;Sindang street, which is located in North Rawabadak Sub-district, Koja District, is one of the areas in North Jakarta Administrative City which is an area that is prone to flooding. Even though a working pump house is available, there are still puddles in several places. One of the problems that occur is the channel that drains water into the storage pool narrowing due to sedimentation in the channel. By analyzing the channel using the Log Pearson III distribution method using data obtained from the STA Tanjung Priok Rainfall Station, the rainfall intensity that occurs in a 5 year cycle is 170.748 mm, the Mononobe equation is used to find the intensity of rain per hour that occurs. Then it can be searched for the planned rain discharge using a Rational Method so that it is known that there are 2 channels, namely (P and Q) unable to accommodate the rainfall that occurs.&lt;/p&gt;
Using POSSE Strategy in Teaching Reading Comprehension

This research aims to determine if using POSSE Strategy affects reading comprehension of students majoring in English education of Tadulako University. This is a pre-experimental study using the one group pretest and posttest design. The population was 319 students in academic year 2018/2019. The samples were 35 students selected employing purposive sampling technique. Paper-and-pencil method was used when collecting the data with a test as the instrument. The test was administered twice namely pretest and posttest. The data were analyzed statistically using .05 level of significance and 34 degree of freedom. The result showed that after receiving intervention through POSSE Strategy, students scores got improved. In other words, using POSSE Strategy is effective in improving the sampled-students’ reading comprehension on any kinds of English text.
An Investigation of AIOU Students’ Satisfaction about Formative M-Assessment Using SMS Technology

Open and Distance Learning (ODL) plays an important role in providing education to the students of rural and remote areas. In ODL, learning feedback and assessment process of learners requires time and cost using classical communication techniques. Emerging technologies like Mobile Assessment (M-Assessment) has gained momentum because of its potential as a useful electronic assessment tool available on widely used mobile devices. The mobile phone usage in Pakistan over the last ten year has been increased incredibly but the potential of Short Messaging Service (SMS) technology in assessment activity has not been fully explored. This study focuses on mobile SMS usage for formative assessment in distance learning environment of Allama Iqbal Open University (AIOU). The key objective of this study was to investigate AIOU students’ satisfaction about the technology acceptance model for M-Assessment. The software has been developed in open source programming language using SMS web-service on the backend to conduct mobile based quiz. The survey methodology applied to test the technology acceptance model for M-Assessment showed that the majority (87%) of the respondents are satisfied with this mobile assessment method. It was tested on 277 selected students of Intermediate, Bachelor and Master’s level enrolled in English and Information Technology courses at AIOU. Around 90% of the respondents regarded it as one of the quickest assessment methods. It was recommended to use this software in the assessment of ODL students.
A Study on Malware Detection System Using Static Analysis and Stacking

The Fourth Industrial Revolution, the introduction of ICT technology, expanded throughout society, increases daily convenience and industrial productivity. But along with the advancing technology, new malicious program threats have also continued to surge. This study proposes a malware detection method using static analysis and stacking techniques to detect new malware as fast and accurately. And we used PE header features, which are extracted through static analysis to process malware without executing it actually. The pe_packer feature was the most efficient in the experiment due to processing the extracted data in various ways and applying it to the machine learning model. So we selected as the feature data to be used to the stacking model. The detection model is implemented based on the stacking technique rather than a single model to detect with high accuracy. The proposed system can classify malware or normal files with fast and accurately. And It has a 94.7 percent detection rate and is better than the existing single model-based detection system.
Analysis of Random Page Replacement Algorithm in Operating System

Page replacement algorithms choose pages to swap out from memory, namely when a new page needs allocation memory.Several page replacement algorithms proposed by experts.Four well known page replacement algorithms are Least Recently Used (LRU), Optimal Page Replacement (OPR), First In First Out (FIFO), Random page replacement algorithms.Each one has the objective to minimize the page fault.If the minimum page fault achieved, the performance of the process increased.The algorithm discussed is random page replacement algorithm.In this paper three case studies of random page replacement algorithm are discussed thoroughly.
Service registration chatbot: collecting and comparing dialogues from AMT workers and service’s users

Crowdsourcing is the go-to solution for data collection and annotation in the context of NLP tasks.Nevertheless, crowdsourced data is noisy by nature; the source is often unknown and additional validation work is performed to guarantee the dataset's quality.In this article, we compare two crowdsourcing sources on a dialogue paraphrasing task revolving around a chatbot service.We observe that workers hired on crowdsourcing platforms produce lexically poorer and less diverse rewrites than service users engaged voluntarily.Notably enough, on dialogue clarity and optimality, the two paraphrase sources' human-perceived quality does not differ significantly.Furthermore, for the chatbot service, the combined crowdsourced data is enough to train a transformer-based Natural Language Generation (NLG) system.To enable similar services, we also release tools for collecting data and training the dialogue-act-based transformer-based NLG module 1 .
Dawn Raids and the Role of Forensic IT in Antitrust Investigations

While digital markets attract much attention of the antitrust community, important developments also take place in relation to the way antitrust investigations are handled and evidence is preserved. More and more enforcement actions of antitrust authorities rely on the ability to find and preserve digital evidence of an illegal activity. This article focuses on recent case law developments in relation to the approach to forensic IT in antitrust enforcement and investigates whether enough leeway is left to the antitrust authorities to properly discharge their powers. The article focuses on the procedural developments at the EU level and in one EU national jurisdiction, i.e. Poland. The article concludes that the current approach to forensics in antitrust does not allow to use available capabilities to a full extent. A proposal is made for an alternative approach, which would benefit effective antitrust enforcement and due process.
A Similarity Between Uncertain Data Measurement Method Based on stochastic simulation

The distance measurement between uncertain data is an important basis for accurate clustering.Taking full advantage of the uncertainty characteristics of the object will help to represent the uncertain data more accurately and calculate its distance.Based on the probability distribution function to represent the characteristics of uncertainty distribution, this paper studies a method for measuring distance between uncertain objects based on stochastic simulation.The effectiveness of the proposed method is verified by experiments.
A Corpus of Very Short Scientific Summaries

We present a new summarisation task, taking scientific articles and producing journal tableof-contents entries in the chemistry domain.These are one-or two-sentence author-written summaries that present the key findings of a paper.This is a first look at this summarisation task with an open access publication corpus consisting of titles and abstracts, as input texts, and short author-written advertising blurbs, as the ground truth.We introduce the dataset and evaluate it with state-of-the-art summarisation methods.
Android Apps Based on Woodball Training Guidelines

The aimed of this research was to develop variations of finishing stroke training which packed in the form of an android application ... The research method used was research and development method.The development procedures included (1) needs analysis (2) product planning I (3) product evaluation I (4) product I (5) product I trial (6) product revision I (7) product II (8) product II trial (9) product II (10) product validation and report forming.The subjects used in this research were 10 trainees for small group trial and 30 trainees for large group trial in novice athletes at Tiger Woodball Academy in Malang.The instrument used was a questionnaire given to the trainees.The results of this research were 10 variations of finishing exercise, they were variations of exercise 1 to variations of exercise 10.The results of the study revealed that the variation of exercises provided could meet the objectives of the research which was improving psychomotor aspects and increasing the accuracy in woodball game on the trainees towards finishing training process at Tiger Woodball Academy Malang.
Author Correction: Quasi-probability information in a coupled two-qubit system interacting non-linearly with a coherent cavity under intrinsic decoherence

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Research of the Handwriting Recognition Methods

This paper examines the methods for handwriting recognition.In the first part, the basic concept of the text recognition system is considered and the features of the operation of these systems are described, it also talks about possible problems in recognition that arise when working with text.The second part examines the difficulties in recognizing handwritten characters associated with the peculiarities of a language, style and handwriting recognition.The third part contains an analysis of methods for preliminary processing of images to improve the quality of further segmentation and text recognition.The next section describes approaches to segmenting text in a document.The fifth section contains an analysis of some of the methods for classifying handwritten characters.This section talks about the principles of such methods as using templates, using outline models, and also attribute-based methods.The mathematical models and algorithms for each method are described.The conclusion summarizes the state of the handwriting recognition systems and provides a general algorithm for the system's operation in order of its further implementation based on the above analyses.
Cross-Cultural School Educational Environment As A Strategy To Form Well-Rounded Pupil's Personality

The article focuses on one of the global issues of the XXI century - formation of a well-rounded personality in the multinational and multi-confessional society. The research problem is caused by various interpersonal, interethnic and intercultural conflicts which are mostly subjective. That is why certain strategies of well-rounded personality formation, which is directed to peace development, are elaborated at the international level. Author suggests to use an appropriate environment to form the well-rounded personality effectively and favorably. First of all, the environment should respond to ethnic and cultural needs of our society. The most practically relevant environment to bring up a well-rounded personality is school and education based particularly on the principle of culture reasoning. It is necessary to admit that the model of cross-cultural school educational environment is rather popular. Firstly, it is ethnic and pedagogic and it has just started to form and interfere educational practice, hence its content, practicability, ability to bring particular results and strategic significance are to be described. The article tries to describe cross-cultural educational school environment as a pedagogic strategy to form a well-rounded personality from the point of view of educational process based on maximal development of moral resources of personality. It is obvious that a person cannot have a well-rounded personality without moral resources. Humane and tolerant society as well as harmonious world cannot exist without spirituality and morality.
BLOCKCHAIN IN DIAMOND SUPPLY CHAIN

Blockchain is a distributed database that maintains a continuously-growing list of recordscalledblockssecured from tampering and revision.Trust and ethics is a problem in thediamond industry. The diamond industry has long faced problems with reporting the origin of adiamond and authenticating its ID and grading. Traditionally documented on paper, but sometimes its still difficult to trace the diamonds true origins and providence. People may ask Where did the diamond come from? Was it blood diamond? Who owns it? Who bought it? Where is it now? Blockchain can be used in diamond industry for tracking diamonds to secure and trace the diamond provenance. The information is stored securely at every step of the process on blockchain-based platform.
The Coupling Co-Location Pattern: A New Spatial Pattern for Spatial Data Sets

There is a variety of interesting knowledge in spatial data sets. Spatial co-location pattern mining can discover sets of different features that are co-located. However, this type of pattern only lists the features that appear together without any consideration of the quantity ratio, which can cause confusion. For example, the co-location pattern church, restaurants shows that churches and restaurants are often close to each other, but information such as how many restaurants are near a church is usually not displayed. Also, in real spatial data sets, there is a mutual influence between spatial features, that is, a coupling relationship between different features or the same features. Thus, this paper proposes a novel spatial pattern called a coupling co-location pattern. First, we discuss the properties of the coupling phenomenon between spatial features, and then the concept of coupling co-location patterns is defined formally. Second, the measurement of support and mining framework for coupling co-location patterns are proposed. Finally, we conduct experiments on both real and synthetic data sets, and the results verify the practical significance of coupling co-location patterns.
APLIKASI SMS GATEWAY SEBAGAI REMINDER JADWAL SIDANG DALAM PERKARA PERDATA (Study Kasus : Pengadilan Negeri Metro Kelas IB)

At this time the process of calling the party related to the trial process in the Metro District Court was still carried out by calling on the Jurusita with a relatively long period of time from the stipulated trial schedule. SMS gateway is an application for utilizing SMS facilities, SMS gateway is a gateway that connects computers and clients via SMS. From the problems faced, the SMS gateway technology is applied in the trial schedule reminder system using the GAMMU application and PHP programming, so that the trial schedule information can be sent by the administrator via scheduled SMS (Short Message Service) messages on the scheduled day to the user. GAMMU is a cross-platform application that is used to bridge / communicate between SMS gateway databases with SMS devices. The GAMMU application is a daemon that runs in the background. Every time, GAMMU monitors SMS devices and the SMS gateway database. When there is an SMS entered into SMS devices, GAMMU immediately moves it into the inbox in the SMS gateway database. The system development method used in this study is the waterfall method which is often called the classic life cycle, which illustrates a systematic and sequential approach to software development from top to bottom. With the SMS gateway application, the calling process is more effective because the user is reminded again when the trial day has been set so that the user does not attend the trial.
Model of Perception and Critical Language Style of Academic Community at University of Bengkulu During <i>Coronavirus Disease</i> (COVID) 19 Epidemic to Realize the Freedom of Learning

The multifaser crisis has an impact on education in Indonesia, this is due to the coronavirus disease 19 (COVID-19) epidemic.However, the innovation and creativity of the academic community at Bengkulu University are extraordinary.The purpose of this study was to illustrate the model of language and the perceptions of the academic community in participating to overcome the crisis as a way to realize the independept learning at university.This qualitative research involves all of the academic community at the Bengkulu University.Data collection used was communication ethnography techniques by recording, participatory and non-participatory reading, questionnaires, and field notes.The data analysis steps were (1)transcripting, (2)reducting, and (3)grouping various styles/models of subject language, then (4)formulating the data with applications.The results showed that the subject of this study has the critical, innovative, and creative language models of the independent learning at the university.In conclusion, the academic community at the Bengkulu University plays an active role and can be a model to overcome the COVID-19 epidemic crisis to realize the freedom of learning.