Reviewerly/exHarmony huggingface dataset:
A chemical approximation to the modal QAPF and normative Q' (F')-ANOR classification of the igneous rocks based on their SiO2-CaO-K2O content

espanolLos magmas pueden dar origen a rocas plutonicas o volcanicas de la misma composicion quimica. La composicion modal de las rocas plutonicas puede ser cuantificada pero en el caso de las rocas volcanicas no suele ser posible por su textura afanitica y presencia de vidrio. Estas caracteristicas impiden una clasificacion mineralogica en diagramas equivalentes para ambos tipos de rocas. La IUGS recomienda el uso del diagrama quimico TAS en los casos en que la obtencion de la composicion modal no sea posible, tratando de ajustar su nomenclatura a la del diagrama modal QAPF. Una mejor aproximacion se consigue con el diagrama normativo Q'(F')-ANOR en el que se usa la relacion anortita-ortosa como factor discriminante. En este trabajo se presenta el diagrama quimico SiO2 -100·CaO/(CaO+K2 O) que reproduce en gran parte la clasificacion normativa citada pero de forma simplificada, utilizando solamente tres componentes quimicos discriminantes (SiO2, CaO y K2O). La delimitacion y nomenclatura de los campos se ha realizado de forma empirica tomando como ejemplo el diagrama normativo y la representacion de analisis de rocas igneas caracteristicas. El limite de saturacion en silice aproximado se ha dibujado como una recta que une las composiciones feldespaticas, comprendidas entre la ortosa y la anortita. EnglishMagmas can form plutonic or volcanic rocks of the same chemical composition. The modal composition of the plutonic rocks can be quantiﬁed but in the case of volcanic rocks this is not always possible, because of its aphanitic texture and presence of glass. These characteristics prevent a mineralogical classiﬁcation in equivalent diagrams for both types of rocks. To resolve this problem, the IUGS recommends the use of chemical TAS diagram in cases where obtaining the modal composition is not possible, in an attempt to adjust its nomenclature to that represented in the QAPF modal diagram. A best approximation is obtained with the normative diagram Q'(F')-ANOR in which the anorthite and the orthoclase are used as a discriminating factor. In this work, the chemical SiO2-100·CaO/(CaO+K2O) diagram is presented, which largely reproduces the aforementioned normative classiﬁcation but in a simpliﬁed form since it uses only three discriminating chemical components (SiO2, CaO and K2O). The delimitation and nomenclature of the ﬁelds has been undertaken empirically using as an example the normative diagram and plotting the analyses of typical igneous rocks. The approximate limit of silica saturation has been drawn as a straight line joining the feldspathic compositions, between orthoclase and anorthite
Baryon Asymmetry from the Minimal Fractal Manifold

Baryon asymmetry represents the observed excess of matter over antimatter and is conjectured to follow from the Sakharov conditions for baryogenesis. Our brief note highlights a surprising connection between baryon asymmetry and the minimal fractality of spacetime near the Fermi scale. This connection is likely to emerge from the non-equilibrium regime of dimensional fluctuations in the early Universe.
Correlation Filter Tracking Based on Fusion Feature and Time Regularization

In the video sequence, during the long-term tracking process, the target and the background condition will undergo unpredictable changes, make target tracking difficult. To improve the target occlusion and large deformation in complex scenes, this paper proposes a correlation filter tracking algorithm based on fusion feature and time regularization. Firstly, the feature dimension reduction is performed on the target to form the feature matrix, which enhances the classification ability of the filter. Secondly, the time regularization is introduced to construct the target relocation under the occlusion condition. In addition, alternating direction method is used by the alternating direction method of the multiplier, to eliminate the boundary effect. Finally, template is performed by perframe. The experimental results show that the algorithm has an accuracy of 72.9 % and it can get a success score of 61.8%. By introducing time regularization, the algorithm can successfully track the target in the presence of occlusion. At the same time, it can adapt well to large changes in appearance. The algorithm performs well in terms of accuracy, robustness and speed, and can track targets in real time.
Pemanfaatan Literasi Akuntansi Dan Minat Baca Terhadap Prestasi Belajar Siswa Pada Mata Pelajaran Akuntansi Kelas X SMK Muhammadiyah 2 Karanganyar

The purpose of this research was to know the level of and influences of exploiting of accountancy literacy and enthusiasm to read to achievement learn at student class X SMK Muhammadiyah 2 Karanganyar. This research used the quantitative method. The research design used survey design. The population was all of the students of class X SMK Muhammadiyah 2 Karanganyar as many as 168 students. The samples of research were taken by using the proporsional random sampling technique, and they consisted of 114 students of class X. The data of research were collected through questionnaire that was distributed to respondents and documentation. They were then analyzed by using the multiple regression analysis aided with the computer program of Software SPPS Version 23 for Windows. The result of research shows that the level of exploiting of accountancy literacy and enthusiasm to read in high category and have goodness. Exploiting of accountancy literacy and enthusiasm to read has a positive effect to achievement learn accountancy subject of the students of class X SMK Muhammadiyah 2 Karanganyar.Keywords: of exploiting of accountancy literacy, enthusiasm to read and achievement learn
Examination of Differences in Academic Achievement Using Latent Mean Analysis

본 연구는 종합적 사고력과 지식탐구역량이 대학생의 학업성취에서 차이를 보이는지 확인하고자 하였다. 이를 위해 충청북도 소재 K대학교 재학생 349명을 대상으로 학업 고성취집단과 저성취집단을 구분하고, 집단 간 잠재평균의 차이를 검증하였다. 종합적 사고력과 지식탐구역량 요인들(목표설정, 학습몰입, 과제수행, 학업성찰, 학습전략)을 잠재변인으로 하여 구조방정식모형의 잠재평균분석을 실시하였다. 분석 절차에 따라 측정모형의 형태 동일성, 측정 동일성, 절편 동일성 등을 검증한 결과, 학업 고성취집단과 저성취집단의 측정모형은 모두 적합도가 수용 가능한 수준으로 나타났다. 동일성 검증에 따라 학업 저성취집단을 참조집단으로, 고성취집단을 측정집단으로 잠재평균을 비교하였다. 그 결과, 학업 고성취집단은 6가지 요인 모두 저성취집단과 유의한 차이를 보였다. Cohen의 효과크기를 보면 과제수행과 학습몰입은 .90 이상으로 차이가 컸으며, 학습전략, 학업성찰, 종합적 사고력 등은 .60 이상을, 목표설정은 .49로 중간수준의 효과크기를 나타냈다. 이러한 연구결과를 바탕으로 대학생의 학업성취에 필요한 학습 방안을 제언하고, 후속 연구에 대한 제언을 논의하였다.The purpose of this study was to determine whether the comprehensive thinking ability and knowledge exploration capability showed differences in the academic achievement of college students. For this purpose, 349 students at K University in Chungcheongbuk-do were divided into high and low achievement groups, and the difference in latent mean among the groups was examined. The latent mean analysis of the structural equation model was conducted with the factors of comprehensive thinking ability and knowledge exploration capability(target setting, learning commitment, task performance, academic reflection, learning strategy) as latent variables. According to the analysis procedure, the model identity, measurement identity, and section identity of the measurement model were verified. According to the test of equality, latent mean were compared with the low achievement group as the reference group and the high achievement group as the measurement group. As a result, all six factors showed significant difference from the low achievement group. According to Cohen s effect size, task performance and learning commitment differed more than .90, and learning strategy, academic reflection, and comprehensive thinking were above .60, and goal setting was .49. On the basis of these findings, the study suggested a study plan for college students’ achievement and discussed suggestions for subsequent research.
Subscription, Access and Licensing Issues of E-resources

E-resources are the heart of any academic institutes, colleges and universities to support teaching learning and research activities. The study deals with the procedure for subscription of e-resources including e-databases and software services (grammarly and turnitin) to provide easy access to the users. The study critically analyzes some issues and challenges like systematic download vs discontinuation of access, subscription charges vs utilization of e-resources, metadata management and integration with existing library catalogue etc. faced by the staff for managing the e-resources. Licensing issues, perpetual access and discontinuity of access due to non-subscription, engulfing small publishers by big one are concerns for librarians.
Atuação de bibliotecárias no programa de admissão da UFRJ

The present work addresses, from the perspective of information competence, the effective participation of Librarians, administrative technicians in education, from the Federal University of Rio de Janeiro (UFRJ), in the development of the Admission Program for new civil servants, through public tender .Contextualizes the university environment as a producer of knowledge and the importance of administrative technicians in education in this dynamic, in line with the search for continuous improvement in public management.It emphasizes that the Admission Program was conceived in 2018, and its intention is to promote the adaptation of newly-hired civil servants, in an environment of teaching excellence.It describes the experience in the reception, the first phase of the Admission Program, since its conception, based on authors in the context of information competence.It points to the product of the experience: the elaboration of a booklet with the presentation of the administrative structure of the University, and of the main sources of information inherent to the systematic of institutional functioning, which help the workers' work practice.The method for organizing the booklet and the dynamics of its design are highlighted, with the aim of guiding and encouraging similar initiatives.It highlights how the Librarians, from the perspective of competence in information, can expand their radius of performance in the public management of the University, through collaboration with higher levels.
Analisis Kesesuaian Lahan Permukiman Menggunakan Sistem Informasi Geografis Di Kota Binjai

&lt;p&gt;A determination location for residential areas was influenced by physical factors, accessibility, socioeconomics, existing land use conditions, etc. Binjai is a municipality that has the &lt;em&gt;highest population&lt;/em&gt;&lt;em&gt; &lt;/em&gt;growth and resulting in the development of settlement highest growth. It is necessary to analyze land suitability for settlement development that provides appropriate residential location direction to realize productive and effective land use by utilizing Geographic Information Technology (GIS). This study aims to analyze residential development direction in Binjai as well as determine potential location into a residential area by considering carrying land capacity, land use effectiveness, and productivity. The suitability land capacity analysis for settlements development results: Very High (ST) 2,616.12 Ha, High (T) 4,295.65 Ha, Medium (S) 2,332.15 Ha, Low (R) 465.67 Ha, and Very Low (SR) 65.16 Ha. Suitability effectiveness analysis for settlements development results: Very High (ST) 4,560.08 Ha, High (T) 2,636.54 Ha, Medium (S) 1,533.04 Ha, Low (R) 417.36 Ha, and Very Low (SR) 167.65 Ha. Conformity analysis productivity utilization for settlements development results; Very High (ST) 4,216.52 Ha, High (T) 2,036.35 Ha, Medium (S) 1,249.72 Ha, Low (R) 1,122.23 Ha, and Very Low (SR) 451.52 Ha.&lt;/p&gt;
PERBEDAAN HASIL BELAJAR SISWA TENTANG RELASI DAN FUNGSI DALAM PEMBELAJARAN MENGGUNAKAN MODEL KOOPERATIF TIPE THINK PAIR SHARE DAN PEMBELAJARAN LANGSUNG

ABSTRACT. This study was conducted to determine the difference in student learning outcomes in learning relation and functions, between a group of students who learn using Think Pair Share (TPS) type of cooperative learning model and another group with direct instruction.  This research apply the Posttest-Only Control Group Design. The subjects in this study were class VIII A as an experimental class consisting of 26 students and class VIII B as a control class consisting of 26 students in SMP Negeri 3 Tondano in the academic year 2019/2020. The instrument used was a test of relations and function material in essay form. Data collection techniques are through the posttest in the experimental class and the control class. Based on hypothesis testing using t-test statistics obtained t_count = 4,0007 and t_tabel = 2.310914 at the real level of 0.05 thus H_0 was rejected. The results of the study concluded that there were differences in the average learning outcomes of students who were taught using the Cooperative Think Think Share type model and direct learning. Keywords: Mathematics Learning Outcomes, Relation and Function, Think Pair Share
ANALISIS KEMAMPUAN LITERASI INFORMASI TERHADAP KEMAMPUAN MENULIS TUGAS AKHIR MAHASISWA AKHIR PROGRAM STUDI PENDIDIKAN FISIKA FKIP UPP

This study aims to find a picture of information literacy of students referring to the ACRL standard. The study was conducted on Physics Education Study Program for the eighth semester students who will complete the final project with a total of 10 students. This research uses descriptive method, carried out through three stages, namely the planning stage, the implementation phase, and the final stage. From the results of the research that has been carried out it can be concluded that the five LI abilities given to final year students in the process of making the final project can be categorized well with three good abilities and two are quite good.
Girl’s Power Reflected In Rick Yancey’s The 5th Wave Novel (2013): A Reader’s-Response Theory

AbstractThis study aims to reveal the Girl’s Power issue and other dominant issues expressed in The 5th Wave novel written by Rick Yancey. Differences in perspective are assumed to bring up differences between one person and another in reviewing a novel. The primary data source is in the form of reader reviews on Goodreads website in The 5th Wave novel published in 2013. The secondary data source comes from previous research relating to the writing of the novel under study. This research uses qualitative research where data collection is mostly from words or text, and analyzing words subjectively. There are four dominant issues found, namely character and racterization, point of view, plot, and writing style of the novel. In The 5th Wave novel shows how the depiction of Girl’s Power is delivered by the main female characters. There are three findings in this issue, namely the Girl’s Power represented by Cassie’s independence, confidence, and empowerment.Keywords: girl’s power, goodreads, reader’s-response, the 5th wave
Databases and Storage

Azure offers many different useful storage solutions. It offers Microsoft databases, as well as different open source ones. In addition to databases, Azure offers other storage solutions, such as NoSQL storage, table storage, file storage, queues, and blob storage. In this chapter, we are going to look into the different databases and storage solutions that Azure has to offer.
Uso de técnicas basadas en one-shot learning para la identificación del locutor

espanolUn sistema para la identificacion de locutor, para ser eficaz requiere una extensa cantidad de muestras de audio por cada locutor que no siempre es facil de obtener. En contraste, sistemas basados en Meta-learning (en espanol, aprender a aprender) como one-shot learning utilizan una unica muestra para diferenciar entre clases. En este trabajo se evalua el potencial de un sistema de meta-learning para la identificacion del locutor independiente del texto. En la experimentacion se utilizan: espectrograma de mel, i-vectores y re muestreo (downsampling) para procesar el audio y obtener un vector de caracteristicas. Este vector es la entrada de una red neuronal siamesa que se encarga de realizar la identificacion. El mejor resultado se obtuvo al diferenciar entre 4 locutores con una exactitud de 0.9. Los resultados mostraron que el uso de tecnicas basadas en one-shot learning tiene gran potencial para ser usados en la identificacion del locutor y podrian ser muy utiles en ambientes reales como la biometria oambitos forenses por su versatilidad. EnglishA speaker identification system in order to be effective requires a large number of audio samples of each speaker, which are not always accessible or easy to collect. In contrast, systems based on meta-learning like one-shot learning, use a single sample to differentiate between classes. This work evaluates the potential of applying the meta-learning approach to text-independent speaker identification tasks. In the experimentation mel spectrogram, i-vectors and resample (downsampling) are used to both process the audio signal and to obtain a feature vector. This feature vector is the input of a siamese neural network that is responsible for performing the identification task. The best result was obtained by differentiating between 4 speakers with an accuracy of 0.9. The obtained results show that one-shot learning approaches have great potential to be used speaker identification and could be very useful in a real field like biometrics or forensic because of its versatility.
Reasoning-Driven Question-Answering For Natural Language Understanding

Natural language understanding (NLU) of text is a fundamental challenge in AI, and it has received significant attention throughout the history of NLP research. This primary goal has been studied under different tasks, such as Question Answering (QA) and Textual Entailment (TE). In this thesis, we investigate the NLU problem through the QA task and focus on the aspects that make it a challenge for the current state-of-the-art technology. This thesis is organized into three main parts: In the first part, we explore multiple formalisms to improve existing machine comprehension systems. We propose a formulation for abductive reasoning in natural language and show its effectiveness, especially in domains with limited training data. Additionally, to help reasoning systems cope with irrelevant or redundant information, we create a supervised approach to learn and detect the essential terms in questions. In the second part, we propose two new challenge datasets. In particular, we create two datasets of natural language questions where (i) the first one requires reasoning over multiple sentences; (ii) the second one requires temporal common sense reasoning. We hope that the two proposed datasets will motivate the field to address more complex problems. In the final part, we present the first formal framework for multi-step reasoning algorithms, in the presence of a few important properties of language use, such as incompleteness, ambiguity, etc. We apply this framework to prove fundamental limitations for reasoning algorithms. These theoretical results provide extra intuition into the existing empirical evidence in the field.
Pengembangan Media Pembelajaran Video Interaktif Menggunakan Plugin Moodle Pada Materi Data Dan Operator Guna Menignkatkan Pemahaman Siswa

Learning these days is still teacher cetric, learning is only considered as anactivity ot memorize and remembered materials. Teacher-centeredlearning only emphasizes content without giving sufficient time for studentsto reflect on the learning that has been given. This study aims to determinethe feasibility and effectiveness of interactive video learning media. Themethod used in this study is Research and Development (R&D). Theprocedure in this study uses the ADDIE model: Analysis, Design,Development, Implementation and Evaluation. Data collection techniquesused in the form of a questionnaire, used to measure of learning media. Aswell as a comparison between the control class and the experimental classthat is used to measure students' abilities before using instructional mediaand after using instructional media. The results of data analysis used inthis study include: calculating the questionnaire value with the resultsshowing that the learning media is feasible and scores 72%, while forcalculating the results of the control class and experimental class studentsuse the normality test and paired sample T Test. The effectiveness waymeasure the N-Gain test which shours an average of 34.67% for thecontrol class and 59.00% for the experimental class.
DEEP LEARNING IN PERSONALIZED RECOMMENDATION SYSTEM – A COMPARATIVE STUDY

Nowadays, the Deep Learning doesincredible developments in Natural language Processing (NLP), speech recognition, image processing, and the Personalized Recommendation. The Recommendation system involves and improves better surfing for users who access the Internet. Personalization attracts the attention of the recommendation system to recommend the most relevant for users. This article emphasizes on the Deep Neural Network Learning techniques which are compared with traditional Recommendation algorithms and the best challenging algorithm to find searching the relevant over an enormous amount of data is suggested. Finally, this study brings emphasizes on the recent advances in the Personalized Recommendation system and highlights the analysis of performance metrics from reviewed papers.
Collaborative Filtering Recommendation Based On CS-Kmeans Optimization Clustering

As the most widely used recommendation technology in the recommendation system, collaborative filtering faces severe problems such as data sparsity, real-time, scalability and other issues, affecting the final recommendation effect. If only the K-means clustering is used to improve the recommendation, there will be no obvious optimization effect due to defects such as local optimality. To solve the corresponding problem, this paper firstly uses a new metaheuristic algorithm called Cuckoo Search (CS algorithm) to optimize the K-means algorithm, and then clusters the users and items in the data set with the optimized algorithm as well as weighted fusion. Finally, get a list of recommendations. The experimental results show that the recommendation process proposed in this paper effectively improves the data sparsity and scalability, moreover, the recommendation efficiency and quality are significantly improved.
ASSESSMENT ON LEARNING TRADITIONAL LITERATURE BASED ON LANGUAGE COMPETENCY AT ELEMENTARY SCHOOL

Assessment technique, which correlates to scientific learning approach upon traditional literature, is an assessment based on language competency. This assessment does not only require students about their language knowledge but also demands them to perform their work related to their knowledge toward literature. Learning upon traditional literature is significant since students can apply their knowledge about it toward real life. The assessment is based on language competency including skills on speaking, writing, reading and listening. In addition, traditional literature usually deals with witches, princesses, and heroism. Based on its content, traditional literature includes folklore, mythologies, legends, fables, ballads, folksongs, and songs. The instruments used in this study were assessment rubric, checklist, assessment scales, field note, assignments and learning projects.