Reviewerly/exHarmony huggingface dataset:
FORMATION OF PROFESSIONAL READINESS IN FUTURE MASTERS OF ELEMENTARY EDUCATION FOR INNOVATIVE ACTIVITIES BY MEANS OF TRAINING TECHNOLOGIES

The article is focused on the effectiveness of the training technologies, used in the educational process of higher education institutions, which are aimed at forming a competent specialist, able to successfully solve professional tasks and by ready to carry out innovative activities. It has been found out that the professional background of the Masters education level mainly depends on the teacher’s skills in the higher education institution, their readiness for interaction and the technologies that are used. The essence of the concept of “training” is considered. It is found out that training is a dynamic form of learning, during which the active acquisition of knowledge, skills and abilities takes place, that meet the requirements of modern educational management. During the study trainings and discussions are organized, which elements are communication and dialogue of participants; an orderly exchange of views; utterance, use of non-verbal expressive means; the purpose of the discussion. The training provides a comfortable space where the students’ cognitive and mental activity is enhanced, and their professional readiness for innovation is formed. The general principles of training technologies as an effective means of forming the professional readiness of future masters of primary education for innovative activity are outlined. The conclusion is made about the expediency of using training technologies in the process of preparing the future masters to their professional readiness for innovative activity. It is proved that the use of training technologies will not only improve the process of professional education of future specialists and better assimilation of theoretical material in professional disciplines, but also give the opportunities for personal and professional development.
Low-Latency MapReduce

Author(s): Li, Xiaoran | Advisor(s): Wang, Zhiying | Abstract: We investigate the problem of MapReduce and coded MapReduce. MapReduce is a programming model for the website search engine. It has three phases: Map, Shuffle, and Reduce. Even though it is an extensively used tool for distributed computing, the communication time involved in the shuffle phase can be a bottleneck for the overall system delay. Coded MapReduce was recently proposed that trades replicated computation for shorter communication. In this thesis, we formally define the model and algorithm of MapReduce and coded MapReduce. Moreover, we implement them with identical Map and Reduce functions. The communication time and the overall system time is analyzed theoretically and measured experimentally. Finally, as an example, reverse indexing is implemented under MapReduce and coded MapReduce framework. We analyze and measure the delay performance for this case as well. We find that when each Map computation task is replicated twice, the coded MapReduce scheme is almost twice as fast as the naive MapReduce scheme.
Margin-Based Semi-supervised Learning Using Apollonius Circle

In this paper, we focus on the classification problem to semi-supervised learning. Semi-supervised learning is a learning task from both labeled and unlabeled data examples. We propose a novel semi-supervised learning algorithm using a self-training framework and support vector machine. Self-training is one of the wrapper-based semi-supervised algorithms in which the base classifier assigns labels to unlabeled data at each iteration and the classifier re-train on a larger training set at the next training step. However, the performance of this algorithm strongly depends on the selected newly-labeled examples. In this paper, a novel self-training algorithm is proposed, which improves the learning performance using the idea of the Apollonius circle to find neighborhood examples. The proposed algorithm exploits a geometric structure to optimize the self-training process. The experimental results demonstrate that the proposed algorithm can effectively improve the performance of the constructed classification model.
IMPROVING THE STUDENTS’ SPEAKING SKILLS BY USING CLASSROOM DEBATE

The main purpose of this research is to find out how far the improvement of students’ speaking skills after they are taught by using Classroom Debate. The population of this research was the eleventh grade students of SMA Negeri 2 Padangsidimpuan which consist of 335 students as and the writer was taken 67 students as the sample of this research. The research methodology used in this research was a classroom action research method. And as the instrument for collecting the data the writer uses the written test. From the value of average scores got by the students in the  pre test, that  is 59.78. In posttest 1, the average score is 71.94. In addition, in posttest II, the average score is 79.03. The percentage improvement of the implementation between pretest and posttest 1 is 20.35 %. Moreover, the percentage improvement result of the implementation between pre-test and post-test 2 is 32.21%. It means that there is a significant improvement of the students’ skills in speaking after they are taught by using Classroom Debate to the eleventh grade students of SMA Negeri 2 Padangsidimpuan. At the end of cycle two, the result of the posttest showed that there were 60 students or 82.09 % who passed the KKM. It was significantly improved from the pretest which gained only 11.94 % and in the posttest 1 which had 56.72% improvement. Therefore, based on the class percentage result from the pretest to the posttest 2 in the second cycle, it could be seen that there were 52.94% improvement that this CAR could gain. It was proven that the use Classroom Debate can improve  the students’ skills in speaking to the eleventh grade students of SMA Negeri 2 Padangsidimpuan From the analysis of the collected data it has been known that there is a significant improvement of the students’ skills in speaking after they are taught by using Classroom Debate. It can be seen from the percentage improvement result of the implementation between pre-test and post-test 2 is 32.21%. So that the hypothesis of this research is accepted.
Costra 1.1: An Inquiry into Geometric Properties of Sentence Spaces

In this paper, we present a new dataset for testing geometric properties of sentence embeddings spaces. In particular, we concentrate on examining how well sentence embeddings capture complex phenomena such paraphrases, tense or generalization. The dataset is a direct expansion of Costra 1.0 [7], which we extended with more sentences and sentence comparisons. We show that available off-the-shelf embeddings do not possess essential attributes such as having synonymous sentences embedded closer to each other than sentences with a significantly different meaning. On the other hand, some embeddings appear to capture the linear order of sentence aspects such as style (formality and simplicity of the language) or time (past to future).
Peningkatan keterampilan menulis narasi melalui model pembelajaran kooperatif tipe concept sentence menggunakan media gambar seri kelas III sekolah dasar

The aim of this research was to improve the narrative writing skill through Cooperative learning model of Concept Sentence type with picture series media in third grade students of State Primary School of Kebonsari Kebumen in the academic year 2018/2019. This research was a Classroom Action Research (CAR) with a cycles model. This research  was carried out in two cycles. The subjects of this reseach were the teacher and students of 3 rd grade in Kebonsari, Kebumen state primary school. The data collection techniques in  this research  include observation, interview, test, and document. The data validity test of this research were source and technique triangulation and content validity. The data analysis techniques of this research were interactive model of analysis and descriptive comparative technique. The average value of the narrative writing skills at pre-action stage reached 63,20 with 32,35% classical completeness or as much as 11 out of 34 students succeeded. Then in cycle I the average value of narrative writing skills achieved 75,08 with 70,59% of classical completeness or about 24 out of 34 students succeeded and increased again up to 81,06 with 88,23% of classical completeness or about 30 out of 34 student succeeded in cycles II . Keywords : narrative writing skills, Concept Sentence model, picture series
THE STRATEGIES TO IMPROVE THE SALE OF BICYCLES USING K-MEANS METHODS

Data mining is a term used to describe confidential information. A data mining technique is grouping. Clustering is grouping several objects into clusters, where available clusters have a high level. In this study the method used by K-Means is able to partition data in one or more clusters or it can be said to divide the data into several groups. By using the data mining technique, it can be used to classify bicycle sales data. Is the sale of bicycles a sale that is very salable, selling well less. The desired method of research using the K-Means method can produce sales patterns that can help shop owners to increase sales.
Library Guides: Interlibrary Loan: Library Search and Interlibrary Loan

This guide will explain what Interlibrary loan (ILL) is and how you can use ILL to request materials not owned by Purdue Libraries
Composing with Multidimensional Timbre Representations

Abstract The author discusses her work and approach to timbre-based composition. Emergent in her works are a common theme and exploration of “timbre spaces” and “timbre in space.” She discusses two pieces: Ostiatim, for string quartet, and Occupied Spaces, for two pianos and percussion.
Research Guides: RPW 2610W A Hands-On History of the American Research University - Loss, Meadows: Your Librarians

Library research guide for RPW2610W A Hands-On History of the American Research University. Your librarians are here to help!
LEAFLETS OF THE KAMA AND PERM SOCIAL-DEMOCRATIC ORGANIZATIONS OF THE PERIOD OF THE FIRST RUSSIAN REVOLUTION OF 1905-1907

The presented publication includes an introductory article and campaign materials from the period of the first Russian revolution, published by the Kama and Perm social-democratic organizations. The published documents were found during the analysis of a private house in Sarapul and transferred for storage to the Udmurt Institute of history, language and literature of the Udmurt Federal Research Center UB RAS. The find includes 10 leaflets and a flying leaf published by printing, as well as handwritten notes (separate pages) with text about the actions of workers during the armed uprising against the police and army units. The leaflets are written in plain, understandable language, with a pronounced focus on target groups (urban residents, workers, soldiers, recruits, students). They contain information explaining the actions of the government and revolutionaries, call for an armed uprising, demand the convocation of the all-Russian Constituent Assembly and the boycott of elections to the State Duma, and tell about significant regional events. Leaflets of regional social-democratic organizations are an important source for studying the history of the first Russian revolution of 1905-1907.
Interactive Machine Learning and Explainability in Mobile Classification of Forest-Aesthetics

This paper presents an application that classifies forest's aesthetics using interactive machine learning on mobile devices. Transfer learning is used to be able to build upon deep ANNs (MobileNet) using the limited resources available on smart-phones. We trained and evaluated a model using our application based on a data-set that is plausible to be created by a single user. In order to increase the comprehensibility of our model we explore the potential of incorporating explainable Artificial Intelligence (XAI) into our mobile application. To this end we use deep Taylor decomposition to generate saliency maps that highlight areas of the input that were relevant for the decision of the ANN and conducted a user study to evaluate the usefulness of this approach for end-users.
PROFESSORIAL CORPORATION AND REFORM OF THE EDUCATION SYSTEM AT UNIVERSITIES AT THE TURN OF THE XIX-XX CENTURIES

In the late XIX - early XX centuries the Ministry of Education could no longer reform education system without relying on the opinion of the professorial corporation. The largest sessions created by the Ministry to find out the point of view of professors on the most problematic issues of university life took place in 1901 and 1906. The purpose of these sessions was to revise the university statute of 1884, but neither in the first nor in the second case did the new statute appear. The materials of the first session were buried in the Ministry, but according to the results of the second session, a subject educational system was proclaimed. Under the conditions of that time (1906), along with other easing of university administration, it was a significant step forward towards university autonomy and the freedom of education expressed in the subject system. This article provides an analysis of the opinions of professors of universities of the Russian Empire which were gathered during those two sessions and reflecting the points of view of the professorial corporation about the reform of the educational system.
Contrastive Analysis between English and Indonesian Word Formation

Abstract Contrastive Analysis between English and Indonesian Word Formation”. The main problems of this study were as follows : (1) what are the differences between English and Indonesian word formation? (2) what are the similarities between English and Indonesian word formation? (3) What are some possible learning problems faced by Indonesian students in learning word formation in English ?. The objectives of this study were to know the differences and similarities between English and Indonesian word formation and the possible learning problem faced by Indonesian students in learning word formation in English.In this study, the writer used descriptive method. The data were collected through documentation technique from English and Indonesian books which are relevant to the problem of the study. The data were analyzed by identifying the differences and the similarities of the word formationin the two language.The differences between English and Indonesian word formation are in the form of Affixation, confixation, Infixation, Simulfixation and Reduplication. The similarities between English and Indonesian word formation are in the form Prefixation, Suffixation, Blend, Clipping, Back-Formation and Acronym. Keywords : Contrastive Analysis, Word Formation
Kajian Penggunaan Aplikasi Android Sebagai Platform Untuk Menghitung Indeks Massa Tubuh (IMT)

Body Mass Index or BMI is an indicator used to measure body weight whether classified as ideal or not. A person's BMI determines by comparing body weight and height which then predicts the standard body value category from the results of renewal. BMI is often used as a measurement tool for the body in carrying out daily diet programs. However, BMI is also often used as a reference for health risks, as a determinant of coronary heart disease or as a measurement tool for diets for people with diabetes mellitus. Using a smartphone that continues to increase over time can be used for ease in calculating a person's BMI. With various methods of making existing systems, such as manual, Bluetooth Low Energy (BLE) or image processing. The manual method requires weight and height data input which is not necessarily the same every time. While BLE requires an external device other than a smartphone to calculate weight and height. From the studies conducted, the image processing method is the most effective. The image processing method takes the data needed to calculate the BMI through the inputted image without the need to manually input data or use an external device other than a smartphone.&#x0D;
Data Curation in the Texas Data Repository

Brenna created a data curation workflow based on the Data Curation Network’s CURATE(D) Model to improve the findability and reusability of datasets for their capstone project with the School of Information at the University of Texas at Austin. The workflow is localized to the UT Austin Dataverse using needs identified in interviews with liaison librarians and an assessment of published datasets in the repository. The final product is a specialized Data Curation workflow and a list of recommendations that may be used by a team of liaison librarians to curate new datasets in the future.
Walter Benjamin’in Hikâye Anlatıcısı, Deneyim ve Enformasyon Yaklaşımı Bağlamında Popüler Edebiyat ve Azra Kohen

The developments in mass communication methods and technologies transform the communication experience as a whole. New trends, defined as digitalization and emerging through the intensive use of internet infrastructure in communication processes, have significant effects on contemporary literary practices, making the new communication practice between novel, writer and reader an area to be examined. In order to explain the mentioned communication practice, the concepts of “experience, memory and information” discussed on the literary tendencies of the past century are remembered. The concrete situation that appears in these trends; It is used in understanding the changing communication practice as it manifests today and in understanding the current literary tendencies in which the author and the reader are in focus. The study aims to discuss the new communication experience which is the subject of the writer, novel and reader reshaped by digital communication technologies from today's perspective. According to this, while the writer is comprehended as a storyteller in traditional societies and as a part of oral culture in general; It has been transformed into a novelist in modern societies as shaped by the information industry and has become part of the written culture. On the other hand, as in many fields, brand identity marketing is applied for the purpose of advertising, which is also valid for literary identities, and mostly through social networks. Traditional mass media, other than social networks, on brand and identity marketing are also used extensively and are integrated into the borders of the literary production entertainment industry as a whole through television series adapted from popular literary products. These developments have also popularized the literary identities, which are shown among the most dignified and conservative subjects of cultural production, and force them to market their literary identities that they have built through digital communication platforms or social networks, by turning them into celebrity figures.
Optimizing the Montgomery Modular Multiplier for a Power- and Area-Efficient Hardware Architecture

Cryptography hardware design is a key challenge towards the confidentiality advance in the prominent field of the internet of things (IoT). The rise of IoT embedded devices boosts the demand for power- and area- efficient solutions for cryptography hardware. The higher the robustness of the cryptography algorithm is, the higher are the hardware complexity, the circuit area, and energy consumption. Asymmetric algorithms are a particular class widely employed in ultra-secure cryptosystems. The high time-hardness to break the private-key in asymmetric algorithms is a result of its high mathematical complexity. RSA is an asymmetric algorithm that performs successive modular multiplications to encrypt and de-encrypt the information. Therefore, arithmetic operators are the most significant part regarding circuit area and power dissipation. This work evaluates a design space exploration for power- and area-efficient hardware VLSI design in the modular Montgomery multiplier employed in the RSA algorithm.
Communication for the investigation manager and key management skills

Security professionals throughout the security industry are responsible for managing investigations. Whether it is a complex loss investigation, interviewing unwanted visitors, or simply taking a report for a customer accident, these are all investigations that require monitoring to ensure completeness. People are not aware of the complicity of the job because they are so used to watching television, and in about 45 min the case is solved.
Ebook Berbasis Keterampilan Berpikir Kritis

Ebook based critical thinking skills offer solutions to facilitate learning critical thinking skills. The purpose of this research is to produce a viable ebook to facilitate learning critical thinking skills. This type of research is research and development using Dick, Carey, and Carey (2009) instructional design. The Research instruments use poll responses from experts, teachers and learners. The resulting development product is an ebook based on critical thinking skills. Based on the results of data analysis obtained from the responses of learning media experts, learning design experts, learning materials experts, individual trials, small group trials, and field trials showed that the developed ebooks could facilitate learning critical thinking skills with an average percentage of 88.67%. The outcome of the overall assessment of the test subject to critical thinking skills indicators has demonstrated validity and with an average percentage of 89.6% and can be interpreted that the teaching materials are developed worthy to facilitate Critical thinking skills. DOI :  http://dx.doi.org/10.23960/jpvti.v1.i2.201903
LibGuides: Evaluating Information: How to Read a Scholarly Article

Introduction to the types of resources available for research, their purposes, and the value of those resources in research.
Vivere in verticale. La ricezione della poesia di Marina Cvetaeva in Milo De Angelis

The article focuses on the reception of Marina Cvetaeva’s poetry in the oeuvre of Milo De Angelis. The starting point for the study is the Russian poet’s relaunch of the romantic declination of lyric as an absolute form, as well as her valorization of the Orphic and tragic dimensions of poetry. The fascination evoked in De Angelis by the theoretical thought of Cvetaeva and her representation of the femininity as heroic, anti-idillic, and anti-sentimental is also examined.
IMPROVING STUDENTSâ€™ READING ACHIEVEMENT IN COMPREHENDING NARRATIVE TEXT BY APPLYING THINK PAIR SHARE TECHNIQUE AT SMP SANTO PETRUS MEDAN

This research is about improving studentsâ€™ reading achievement in comprehending narrative texts by apply Think Pair Share technique at SMP Santo Petrus Medan class VIII-4 in academic year 2016/2017. The aim of this research is to improve studentsâ€™ reading comprehension through Think Pair Share technique. This technique applies by theory Cooper. The objectives of this research are to find out how could Think Pair Share technique improve studentsâ€™ reading comprehension and how good are the second grade students of SMP Santo Petrus Medan in reading comprehension after having been taught through the Think Pair Share technique. The research was a Classroom Action Research (CAR) which was conducted by applying Think Pair Share technique in teaching reading to the eighth grade students of class VIII-4. It could be seen that there is a significant improvement of studentsâ€™ reading comprehension. In this research, the data are distinguished into qualitative and quantitative data. The quantitative data are pretest and posttest. The qualitative data consists of field notes, observation and interview. The result of this research shows that the studentsâ€™ mean score in pretest is 61,20 with 27,28% of the students get score â‰¥ 70 and in the posttest mean score is 75,51 with 82,75% of the students get score â‰¤ 70. It shows that there is a significant mean score improvement between pretest and posttest about 55,17%. It is suggested that the teachers use the Think Pair Share technique as alternative technique in teaching reading to the students in Junior High School in order to improve studentsâ€™ reading comprehension.