Reviewerly/exHarmony huggingface dataset:
Human Mimic Chatbot

A Telegram bot that lets users enter a contact's name and a text file for a chat serves as the project's entry point. The bot turns the conversation data into a structured pandas dataframe after extracting it. The chatbot is then trained using the conversation data and the Microsoft Dialogue GPT model so that it can produce responses resembling those of the selected contact. The model is then deployed to the Hugging Face repository after training is finished, and users are given access to a run.py file. This Python programme interacts with WhatsApp using Selenium to keep track of new messages from the chosen contact. The chatbot concept is applied to construct an appropriate reply when a new message is received, automating the reply procedure. The project's benefits include improved productivity, tailored responses, and easy integration with well-liked messaging platforms. As the chatbot responds to incoming messages in line with the conversational style of the designated contact, users may now concentrate on their activities without the need for frequent manual engagement. The project does, however, have several drawbacks, such as its reliance on the reliability and accessibility of the offered conversation history. Future improvements might use sentiment analysis, context awareness, and advanced natural language processing techniques to overcome these restrictions and improve the effectiveness of the chatbot.
THE DISCOURSE OF WHITE SUPREMACY TOWARDS CONFORMATION OF BLACK IDEAL MASCULINITY OF ALFA NDIAYE’S ATTRIBUTES IN DAVID DIOP’S NOVEL AT NIGHT ALL BLOOD IS BLACK

Colonialism is one of the events of colonization of Europeans or Western nations to a nation or continent with inferior value to its customs, intellectuality, and marginalization. It results in the distingency of social structures that experience racial inequality and discrimination, including black people. White supremacy perpetuates an ideology that can take away the human rights of blacks, especially the ideal identity of masculinity, the black men. Black men are represented as beasts, combat-ready pioneers, obedient slaves, and so on. This representation becomes a construction of an ideological discourse that marginalizes black people. This discourse affects psychological and social dualism and intersectionalism that rests on resistance to white supremacy. This study aims to reveal the discourse of the identity of idealistic masculinity in black men. The method used is descriptive-qualitative. This method is employed in relating the problems that occur to Alfa Ndiaye who experiences the traumatic experience of the death of his best friend in his life journey while tracing racial equality between the countries of Francophone, France-Africa (Senegal). This study uses intersectional, masculinity, and racial studies. The material object is the novel At Night All Blood is Black by David Diop. In contrast, the formal object is ideology's effect in identifying masculinity's attributes in black people, especially in the main character, Alfa Ndiaye. Thus, white hegemony always uses various ways to make the ‘wounded masculinity’ of Ndiaye feel pressured and it is considered that their savagery is beneficial for Captain Armand in raising French independence.
An a Priori Analysis of Validity Evidence on The Speaking Section of TPELT, a Developed English Proficiency Test for Primary English Teachers

This article introduces a new English proficiency test, TPELT (The Test for Primary English Language Teachers), which has been developed for primary English teachers in non-native English speaking countries, with a focus on Indonesia. The study examines the a priori validity analysis of TPELT's speaking test, with the goal of demonstrating its usefulness in assessing English proficiency. The article also discusses the concept of validity and its significance in test development, as well as the two methods for establishing validity. The researchers used a descriptive qualitative approach to gather and analyze data for the study, including documents, checklists, and interviews with the TPELT developers. To assess the a priori validity of the test, the researchers employed Wier's framework and analyzed TPELT's blueprint alongside frameworks for each English skill assessed in the test. The a priori validity analysis findings indicate that TPELT is a valid test for measuring English proficiency and competence among teachers. The evidence supports the test's theory-based and context validity, and its convenience and comprehensiveness make it an ideal choice for assessment purposes.
Implementasi Framework Cobit 5 pada Sistem Iformasi Akademik

This research aims to measure the level of academic information system capability towards the achievement of campus vision and mission. The research carried out includes literature study, interviews, distributing questionnaires, and analyzing the results of the questionnaire distribution and to get the actual value of the level of academic information system capability and the factors that affect the academic information system. Researchers use the COBIT 5 framework in 1 domain, namely the Monitor, Evaluate and Assess (MEA) domain to conduct research on academic information system capabilities. The results of this study indicate that the maturity level of Information Technology (IT) in the MEA01 sub domain has an index of 3,72, the MEA02 sub domain is 3,78 and the MEA03 sub domain is 3,80 so that the average maturity level in the MEA domain currently reaches a maturity value of 3,77 (Predictable). Process), then from the results of the maturity of Information Technology in the form of recommendations for solutions to increase the capability of academic information systems on campus. The conclusion of the final results in this study, academic information systems on campus T can be managed and measured by the needs of users, but have not reached the optimal of user needs
Breaking Down Break-It-Fix-It: An Automated Software Repair Replication

Software quality is strongly correlated with the quantity and severity of bugs. While there are a variety of tools, techniques, and practices to aid production of robust and resilient code, low quality software is draining trillions of dollars from organizations annually. Meanwhile, debugging and fixing coding errors consumes upwards of half of developer labor. To say this situation is untenable is an understatement. Fortunately, automated software repair offers a possible solution. The literature around automated code fixing has been expanding with a variety of implementations ranging from genetic programming, code translation, and various machine learning algorithms. All report positive results, however there has not yet been a dedicated effort to measure to what extent the various implementations are generalizable. Accordingly, we sought to replicate a prominent study in the field in two parts. The first part consisted of replicating the training of the machine learning model using the source study materials. We found training to be impossible at first due to package dependencies and missing package files. However, we were able to replicate the self-repair evaluation. The results were identical to the source study. Later, using a Docker compose file obtained from the original authors, we were able to replicate BIFI model training and again match outcomes. Overall, based on the replication outcomes, we offer future leaning recommendations and ideas for future work.
THE ALLOMORPHY IN ENGLISH WORDS: MORPHOLOGY AND PHONOLOGY INTERRELATED APPROACH

The article aims to analyze which allomorphs occur more accurately in English and what factors determine them. The problems that the researchers examine enable English learners and readers to pronounce English words, in this case, English morphemes. The theory employed by the researchers is morphophonemics, dealing with how morphemes alter their appearance or pronunciation in response to the sounds that surround them in a given piece of content. The approach or method that the researchers use in this article is descriptive qualitative method based on the data. The findings that the researchers come across are as follows: (a) the definitive article, (b) the definitive article, (c) Derivation, (d) Irregular verbs, (e) Past tense marker (-ed), (f) Present tense morpheme, (g) Plural noun markers, (h) Possessive markers. It can be seen that the shape or pronunciation of an English word depends on the linguistic environment in which it occurs, and it is obvious that morphophonemic change involves not only replacing but also changing the phonological shape of a morpheme. Based on the data, the researchers find that there are two basic types of allomorph, such as morphophonemic changes and suppletion. The researchers also attend to the theory of Pike, stating that sounds tend to be influenced by their environments.
DEVELOPMENT OF BLENDED LEARNING ON ENGLISH LEARNING OUTCOMES IN PJKR STUDY PROGRAM

The study aims to determine the development of blended learning based on the results of learning English in the PJKR study program. The method used in this research is quasi-experimental. The quasi-experimental method is different from the actual experiment. In the quasi-experimental method, there is a control group. The sampling technique used in this research is cluster sampling, also called group sampling. Data collection is the most important part of research. Effective and complete data determine the quality of the researchers. In this study, the researchers used the learning achievement test technique, test, observation, and documentation. Based on the results of the research that had been done, the size of the concentration and distribution of the pretest result data for the experimental group were: the largest score was 75 and the smallest score was 36, the mean (mean) was 51.67, the median was 52, the mode was 40.5 and the standard deviation was 11.91. While the post-test data results, the highest score was 91 and the lowest score was 45, the mean (mean) was 72.8, the median was 76.9, the mode was 77.6, and the standard deviation was 15.58. So, the objectives to be achieved in the learning design have been implemented, and the blended learning model is able to influence student learning outcomes in English.
Investigation of Input Alphabets of End-to-End Lithuanian Text-to-Speech Synthesizer

The present paper deals with choosing the input alphabet for the end-to-end synthesizer of the Lithuanian language.Tacotron 2 is a state-of-the-art end-to-end speech synthesis model.Characters, phonemes or their combinations can be used as an input of the model.The model was trained on Lithuanian speech recordings using the following five input alphabets: letters, lowercase letters, accented letters, reduced set of accented letters, letters with separate accent marks.Acceptability of the synthesized speech was evaluated on the basis of human listeners' subjective judgment.Experimental testing showed that accent marks significantly improved the quality of the synthesized speech.Reducing the size of the input alphabet also has a slight positive impact.Putting accent marks into the text produced the best results as compared to using the accented letters.
Comprehensive analysis of deep learning based text classification models and applications

The social media platform has become one of the prime modes of interaction between different natures of peoples, where they used to share their feelings in the form of textual messages. Due to the easy availability of plenty of social media tools like Twitter, Flickr, Imgur, Facebook etc. more and more people are indulging themselves in propagating enormous amounts of information on diverse nature of topics/various issues, and that has become a huge source of data to be analyzed by the researchers to extract useful information. This research article comprises a brief study of different text classification models, which uses deep learning algorithm in Natural Language Processing task. However, it remains a challenging issue for most of the researchers to get absolute architecture, layout and appropriate techniques for classifying text data. Further, the study reveals a brief discussion on the relevance of various deep learning models available for text classification along with their feature assessment also a comparative study of the various available deep-learning models have also been done during the work.
SELF-MOTIVATION IN IMPROVING LIBRARIAN PERFORMANCE AT UNIVERSITAS SARI MUTIARA INDONESIA LIBRARY

Self-motivation is the driving force behind taking action and achieving high performance. An individual must be motivated by his own desire to pursue the goals of the organization or agency. The problem in this study is how to describe self-motivation in improving the performance of librarians in the library of Sari Mutiara University, Indonesia. The purpose of this study was to determine the role of self-motivation in improving the performance of librarians in the library of Sari Mutiara University of Indonesia. In this study, the research approach to be carried out is qualitative research with a descriptive approach. This research method aims to precisely describe individual traits, circumstances, and other factors to solve problems. The result of this study is that the self-motivation of librarians at the University of Sari Mutiara Indonesia Library is formed from motivational factors supported by hygiene factors. This can be seen from the work achievements achieved by librarians, the recognition of their existence as librarians, completing the work given, having a great sense of responsibility, and the desire to develop their potential. In addition, other things that support the magnitude of self-motivation of librarians in improving performance are policies and administration that do not burden librarians, harmonious relationships between fellow librarians, income that can meet the needs of life, evaluations aimed at performance appraisals, and pleasant, comfortable, and conducive workplace conditions.
Perception of health programme students on the use of an augmented reality tool in anatomical practices

Introduction. Augmented reality in the medical field has continuously grown, supporting theoretical and practical components. This technology presents a safe environment for experimentation for health science students. Objective. This research analyses theacceptance of health science students with the augmented reality tool HOLOMARKERS. It allows the user to place virtual pins on human biological material to achieve labelling of tissues, muscles, and organs, avoiding direct contact with the sample. Methodology. A technology acceptance model analyses the influence of HOLOMARKERS on student acceptance. Each core of the model has four Likert-scale questions. The sample size surveyed is 17 health science students. Four cores structure a technology acceptance model: theoretical background, acceptance of use, perceived ease of use and perceived usefulness of use; analyses of the acceptance of HOLOMARKERS by students. Results. Perceived usefulness of the tool and the students’ previous theoretical background influence the acceptance of tool. Conclusion. The students surveyed highlighted the usefulness of HOLOMARKERS for developing practices in the macroscopic anatomy laboratory with human biological material.
SOCIAL INTERACTION THROUGH @RABBITHOLEID IN TRANSFER OF INFORMATION

The various information needs of users usually trigger a high curiosity about a particular topic. The existence of different information needs is what makes users transfer information to each other through social interaction. It is possible that this process occurs on a social media platform such as the rabbitholeid Instagram account. Information transfer and social interaction are related to each other because social interaction can be an important channel for the transfer of information between individuals or groups. The social interaction that causes the media transfer process is what occurs in the discussion in the comments column on the rabbitholeid account. The purpose of this research is to find out how the process of transferring information from the results of social interaction on the rabbitholeid Instagram account occurs. Through this study, it is hoped that later we will be able to find out how the process of transferring information that occurs on the account is made, especially with the social interactions that are carried out. In addition, this study also has problem limitations where the author will review in detail the cause and effect and the process of transferring information through social interaction on rabbitholeid accounts only so that it does not expand to a wider scope.
Magnetically Purified Erbium-doped Oxide Crystal--Towards Creating a Quantum-information-manipulation Platform

Erbium (Er) is a rare-earth element that is expected to be a platform for manipulation of quantum information by utilizing telecommunication-wavelength photons.However, high-quality epitaxial growth of Er-doped host crystals is difficult, and the memory time of quantum information, which determines the performance of quantum manipulation, is much shorter than theoretically predicted.We investigated a good-compatibility rare-earth oxide as a host crystal for Er.The host oxide crystal, cerium oxide (CeO 2 ), had its nuclear spin removed (i.e., magnetically purified).The nuclear spin is the main factor that shortens the lifetime of quantum-information retention time.In this article, we describe high-quality epitaxial growth of CeO 2 and its optical properties as a thin film grown on a silicon substrate.
Age Impact on the Use of Politeness Strategies in Online Interaction by EFL Students in Al-Anbar Distinguished School for Girls

The present paper concentrates on the linguistic behaviors prevailing in EFL students in Al-Anbar distinguished school for Girls. These behaviors are displayed through the choice of language, and politeness strategies employed by EFL students in their interaction with each other. Thus, the population of the current study is EFL students from the second intermediate and fifth preparatory classes in the secondary distinguished school for girls in Al-Anbar Province in the first and second semester of their academic year 2021-2022. Based on this population, a total of 40 students have volunteered to participate in this study. The age of the participants is in-between (14-17) years. Consequently, more than 30 samples of their online messages are collected by the researcher. These messages are sent by the participants of the study via Whatsapp groups established by the teachers of English language in this secondary distinguished school. To deeply explore the politeness strategies and to find the difference in age for these groups, these messages are analyzed by adopting the qualitative content analysis technique informed by Brown’s and Levisohn’s theory (1987) of politeness strategies. The findings reveal that EFL students from that school utilize various politeness strategies. Based on the frequency of these strategies, the researcher concludes that the age differences among participants play a pivotal role in determining the application and the choices of politeness strategies through their online interaction. As a result, the data of the present paper shows that participants from fifth stage are more aware and knowledgeable to these strategies than those who are from second intermediate stage.
Original xylophone etudes in the new percussion repertoire

The lectio praecursoria reviews my doctoral thesis and its research topic. The topic of my artistic doctoral thesis was the introduction of new aspects and perspectives on Igor Stravinsky’s (1882–1971) xylophone writing through original solo xylophone compositions by the author. The history and background of the xylophone was also discussed.
Chapter 30: Transformations of Jointly Distributed Random Variables

We address two important types of transformations in this chapter; both are transformations of jointly distributed random variables, say Y1 and Y2. First, we find the distribution of X = g(Y1, Y2). Second, we find the joint distribution of X1 and X2, where X1 = g1(Y1, Y2) and X2 = g2(Y1, Y2). The techniques in this chapter mostly apply to jointly continuous random variables; to transform jointly discrete random variables, we can often compute the probabilities directly.
Intrinsic Elements and Moral Values in The Anthology of Aim Short Stories by Kholifatul Fauziah

The selection of AIM's short story anthology aims to understand and know the aspects of structuralism and moral values. The research design used is descriptive qualitative. The source of the data for this study was the Anthology of the short stories Aim by Kholifatul Fauziah and DPND Class which were then chosen as the object of research because this anthology of short stories contains many elements of literary works and a clear moral message. This research was conducted in several stages, namely: (1) the planning stage, listening and reading carefully the AIM Short Anthology. (2) the implementation stage, collecting data, classifying and analyzing the structural approach in short stories. (3) the reporting stage, involving the writing and publication of the results of this research so that they can be read, known, and used by other people who need them. The results of the research show that the intrinsic structure in structural studies is in the form of themes, plot, characters and characterizations, setting, point of view, style of language, message, and moral values. This structure can be a successful builder of conveying the meaning of the story from the writer to the reader.
Chapter 44: Estimation Using the Method of Moments

The method of moments estimator can be used when we have a random sample from a population, where the distribution is known up to a parameter or set of parameters. Of the three major types of parameter estimation considered in this book, it could be said that the method of moments estimator is the most straightforward, and (usually) the easiest to obtain.
Chapter 2: Asymptotic Integrals

Big-O and little-o notation convey important information about the limiting behavior of a function or algorithm by bounding its growth relative to another function. The leading-order behavior provides more information about the limiting behavior of a function or algorithm growth in absolute terms. In this section, we expand on this theme by examining asymptotic behavior in richer detail.
Decision-tree and ensemble-based mortality risk models for hospitalized patients with COVID-19

The work is devoted to studying SARS-CoV-2-associated pneumonia and the investigating of the main indicators that lead to the patients’ mortality. Using the good-known parameters that are routinely embraced in clinical practice, we obtained new functional dependencies based on an accessible and understandable decision tree and ML ensemble of classifiers models that would allow the physician to determine the prognosis in a few minutes and, accordingly, to understand the need for treatment adjustment, transfer of the patient to the emergency department. The accuracy of the resulting ensemble of models fitted on actual hospital patient data was in the range of 0.88–0.91 for different metrics. Creating a data collection system with further training of classifiers will dynamically increase the forecast’s accuracy and automate the doctor’s decision-making process.