Reviewerly/exHarmony huggingface dataset:
FACTORS INFLUENCING STUDENTS` PRONUNCIATION MASTERY AT ENGLISH DEPARTMENT OF STKIP PGRI SUMATERA BARAT

The research is aimed at finding out the dominant factors influencing students` pronunciation mastery at English department of STKIP PGRI Sumatera Barat. This research is using qualitative research method. Total of participants are 10 English students in academic year 2020/2021 at English Department of STKIP PGRI Sumatera Barat who are getting the best mark in pronunciation class. Sample of the research was selected by using purposive sampling thecnique. The instrument used is interview. The purpose of the interview is to get the real arguments about factor influencing students` pronunciation mastery. This research revealed that motivation is the dominant factor influencing students` pronunciation mastery. Most of the students were motivated to increase their pronunciation because they were motivated by native speakers-watching the western or English movies and songs. Besides, they also argued that they wanted to go to overseas so, they should produce the word with correctly pronounced to avoid misunderstanding for both speakers. Based on the data obtained, it can be stated that motivation is the dominant factor influencing students` pronunciation mastery in academic year 2020/2021 at English Department of STKIP PGRI Sumatera Barat.
STUDENTS’ PERCEPTION ABOUT ENGLISH TEXTBOOK “WHEN ENGLISH RINGS A BELL” CLASS VII USED IN CURRICULUM 2013 AT SMP 12 PADANG

The purpose of this research is to know students’ perception about exercises which is stated on English Textbook “When English Rings A Bell” class VII. Approach on this research is survey used cross sectional Survey with 56 participants from SMP 12 Padang. Researchers used random sampling. In collecting the data they used questioners and interview. Result of this research explain about students’ perception about exercises on English textbook “When English Rings A Bell” from component of the book. Furthermore, indicators of this research based on Garinger (2002) it states that the exercises contribute to learners language acquisition, balance with the format, should be progressive for the students, varying and challenging . So, students’ perception about exercises on the textbook are exercises on the textbook is interesting, because the book is colorful and has example of questions from exercises. there has simple instruction and vocabulary on the textbook is familiar to the students. Exercises in gape filling is simple so they are able to fill it. However, exercises on essay form is difficult, because the instruction consist of many difficult word. so, they are not able to do the exercise.
Design of protected cloud computing by Homomorphic Encryption

The idea of homomorphic encryption is to make sure data confidentiality in messages, storage or in utilize by processes with methodssimilar to conventional cryptography, but with additionalabilities of computing over encrypted data, searching an encrypted data, etc. Homomorphism is a property by which a problem in one algebraic system can be converted to a problem in another algebraic system, be solved and the solution later can also be converted back successfully. Therefore, homomorphism composes secure delegation of computation to a third party feasible. Various conventional encryption schemes have either multiplicative or additive homomorphic property and are presently in use for personal applications. So far, a Fully Homomorphic Encryption (FHE) scheme which could perform any arbitrary computation over encrypted data appeared in 2009 as Gentry’s work. In this paper, we suggest a multi-cloud architecture of M distributed servers to repartition the data and to almostpermit achieving an FHE
SPEAKING TASK IN STUDENTS’ ENGLISH TEXTBOOK “WHEN ENGLISH RINGS A BELL” FOR 7th GRADE OF JUNIOR HIGH SCHOOL

This study aims to analyze the speaking tasks in the tectbook and the type of speaking assessment presented in the speaking task of student's English textbook entitled "When English Rings A Bell" for 7th grade of junior high school. This research was motivated by the phenomenon of the type of speaking assessment that is suitable for 7th grade students, that was imitative speaking and intensive speaking. Thus, to analyzed the type of speaking assessment, it is necessary to determine the speaking task presented by the book. This research is a qualitative descriptive study because the data collected is in the form of words using the Content Analysis method. This study used the student's English textbook entitled "When English Rings A Bell" for 7th grade Junior High School as a source of data. Document checklist was used as an instrument for data collection techniques, especially on the speaking task in the student's English textbook. The results showed that there were 92 speaking tasks in 8 chapters in the textbook that is Roles Play, Dialogue Completion, Directed Response, Read Aloud, Discussion, Games, Question And Answer Task, Repeat Word or Sentence, And Oral Presentations. For the type of speaking assessment in the speaking task, it was found that the Intensive speaking type was the most common with a percentage of 33.70%, Interactive Speaking 32.61% Extensive Speaking 30.43%, Imitative Speaking 2.17%, and Responsive Speaking 1.087%.
THE INFLUENCE OF TEACHER’S REWARD TO STUDENTS’MOTIVATION IN LEARNING ENGLISH

The purpose of this research was to know how does the influence of rewards given by teachers to students’ motivation in learning English. Participants of the research are students in Upper Intermediate Structure Class in STKIP PGRI Sumatera Barat. This research is a descriptive research with quantitative approach. Instruments of the research are questionnaire and interview. Questionnaire that used by researcher are types of reward that used by teachers can make motivate students in learning English and interview is used for helping the researcher to find some the data along research process. In this research interview has function for making information from questionnaire more strength. Based on the result of data are gotten from questionnaire and interview show that teacher’s reward had influenced to students ‘motivation. Indicator types of teacher’s reward to students’ motivation. It consists of social reward, activity reward, token reward and material reward. The percentages of social reward is 18 students (75,00%) in influenced categorized, activity reward is 17 students (71,00%) in influenced categorized, material reward is 17 students (71,00%) in influenced categorized and material reward is 13 students (54,00%). The result of recapitulation of all indicator type of reward used by the lecturer is 83 % in influenced categorized. It means that teacher’s reward had influenced to students’ motivation in learning English.
The engineering behind Evolutor

Charles Darwin revolutionised our understanding of life on Earth when he presented his concept of natural selection in his ground-breaking book On the Origin of Species in 1859.Natural selection is the process by which living organisms change and adapt and is a key mechanism of evolution.Organisms that are better adapted to their environment are more likely to survive, which means the genes that enabled their survival are more likely to be passed on.We have come a long way since Darwin published his concepts, and engineers and scientists have borrowed the concept of 'survival of the fittest' and applied it to engineering biological systems for industrial TALK LIKE A BIOMANUFACTURER BIOECONOMY -the economic potential of harnessing the power of bioscience ENZYMES -the proteins responsible for catalysing all chemical reactions in cells EVOLUTION -the change in the characteristics of a species over several generations, which relies on the process of natural selection EXPERIENTIAL LEARNING -the process of learning through experience, more narrowly defined as 'learning through reflection on doing' GENOME SEQUENCING -the process of determining the entirety, or nearly the entirety, of the DNA sequence of an organism's genome NATURAL SELECTION -the process through which populations of living organisms change and adapt SURVIVAL OF THE FITTEST -a phrase that originated from Darwinian evolutionary theory as a way of describing the mechanism of natural selection
ABILITY TO WRITE BOOK REVIEWS USING THE GROUP INVESTIGATION MODEL FOR CLASS XI STUDENTS OF SMA NEGERI 2 RANAH PESISIR

Study this background by students who have not capable write review , because lack of interest student in write feedback , students also not enough give comment when the teacher explains Theory learning because the learning model used by the teacher is less varied . Study this aim for describe ability write book document official with using the investigative model group on student class XI SMAN 2 Ranah Coastal . Type study this is study quantitative with method descriptive . The Population in study this is student class XI SMAN 2 Ranah coastal , whereas sample is class XI IPS 2, with a total of 35 students . Data in study this in the form of score ability write review book with the investigative model group Study this conclude that ability average score write review book student class XI SMAN 2 Ranah Coastal with the investigative model group is at on level 76-85% mastery with qualification Good (B) with an average gain of . of 81.33. On indicator I ( title ) average count 93.33 with qualification very good (BS), average count indicator 2 ( book data ) 83.81 with qualification good (B), average count on indicator 3 ( opening ) 74.28 with qualification more from enough ( LdC ), then the average count indicator 4 ( content and reviewer content ) is 80 with qualification good (B) and average count indicator 5 ( closing ) 74.28 with qualification more from enough ( LdC ) ). Based on Thing that , can concluded that the Group Investigation model can used in increase ability write review book student class XI SMAN 2 Ranah Coastal .
CONTRIBUTION OF TEACHING GRAMMAR COMMUNICATIVELY IN BASIC LEVEL

Grammar is one of the most components in learning foreign language. Especially in learning English, grammar helps the learners to develop the language skills; listening, speaking, reading and writing. Therefore, teaching grammar contributes to the success of learners in mastering English and the teachers is better to know the best approaches and methods for teaching grammar effectively. Teaching grammar is not only about teaching the rules and construct the sentences. More than it, teaching grammar must be emphasizes on how to use grammar for communication. Dealing with this fact, the writer agrees with the approach of teaching grammar proposed by Harmer that the idea of teaching grammar is started from introducing, discovering, and practicing grammar as well as involving students in grammar games. The models of activities he presents in this book support the effective teaching approach since in practices, they involve other language skills too so that learning grammar is no more learning a set of language rules, instead, it encourages students to use the language meaningfully, appropriately as well as fluently, in either productive and receptive skills.
THE EFFECT OF THE USE OF CREATIVE PRODUCTIVE MODEL ON WRITING EXPLANATION TEXT SKILLS OF STUDENTS OF CLASS VIII SMP N 6 SAWAHLUNTO

This research is motivated by the lack of interest of students in writing explanatory texts because these students are not able to distinguish explanatory texts and these students are difficult to determine the structure of explanatory texts. The student is also unable to develop or determine the ideas that will be written into explanatory text. This study aims to examine the students' explanatory text writing skills without and by using the Creative-Productive model and the effect of using the Creative-Productive model on the students' explanatory text writing skills in class VIII SMPN 6 SawahLunto. This type of research is a quantitative study with an experimental method. The design of this study was a posttest only control design. The population in this study, all students of class VIII SMPN 6 SawahLunto, totaling 103 students. The research sample for the control class was 34 students of class VIII 2, the sample for the experimental class of class VIII 1 students. The data in this study were the scores of explanatory text writing skills without using and using the Creative-Productive model. This research can be concluded as follows. First, the skill of writing explanatory texts without using the Creative-Productive model for the control class obtained an average score of 75.24 at the mastery level of 66-75% with Enough (C). Second, the skill of writing explanatory texts using the Creative-Productive model obtained an average score of 79.02 at the mastery level of 76-85% with good qualifications (B). Third, based on the results of the t-test, it can be concluded that there is an effect of using the Creative-Productive model. with tcount ttable (3.00 1.67) on the writing skills of the eighth grade students of SMPN 6 SawahLunto.
An Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series

As a special infinite-order vector autoregressive (VAR) model, the vector autoregressive moving average (VARMA) model can capture much richer temporal patterns than the widely used finite-order VAR model. However, its practicality has long been hindered by its non-identifiability, computational intractability, and difficulty of interpretation, especially for high-dimensional time series. This paper proposes a novel sparse infinite-order VAR model for high-dimensional time series, which avoids all above drawbacks while inheriting essential temporal patterns of the VARMA model. As another attractive feature, the temporal and cross-sectional structures of the VARMA-type dynamics captured by this model can be interpreted separately, since they are characterized by different sets of parameters. This separation naturally motivates the sparsity assumption on the parameters determining the cross-sectional dependence. As a result, greater statistical efficiency and interpretability can be achieved with little loss of temporal information. We introduce two $\ell_1$-regularized estimation methods for the proposed model, which can be efficiently implemented via block coordinate descent algorithms, and derive the corresponding nonasymptotic error bounds. A consistent model order selection method based on the Bayesian information criteria is also developed. The merit of the proposed approach is supported by simulation studies and a real-world macroeconomic data analysis.
3D cruise dynamic programming algorithm for UAV based on improved GWO

In order to solve the problem of the gray wolf algorithm (GWO) in the dynamic programming of UAVs, due to the reduction of the attenuation factor, the individual wolves move to the head wolf area, resulting in poor global convergence effect and low optimization accuracy of the algorithm. A 3D cruise dynamic programming algorithm for UAVs based on the Grey Wolf (IGWO) strategy based on Levi flight and random walk strategy is proposed. Build a three-dimensional model of UAV cruise; weigh factors such as cruise trajectory length, radar area, no-fly threat, and heading change to construct a fitness function; with the help of Levi flight and random walk strategies, it is discussed to find an appropriate solution according to different optimization problems. parameters, to achieve higher-precision optimization, and to ensure the method of the optimization process in the middle and late stages; finally, the dynamic planning algorithm for UAV cruise in complex three-dimensional maps is obtained. Taking the cruise in the designated mission space as an example, the simulation verifies that the IGWO algorithm can make up for the shortcomings of GWO, and the planned path can avoid threats, and it takes time and the path length is small. The experimental results show that it is reasonable and effective to use the IGWO algorithm to perform flight missions in three-dimensional space.
STRENGTHENING COLLABORATIVE RESEARCH PRACTICES IN ACADEMIA: FACTORS, CHALLENGES, AND STRATEGIES

This mixed-method research sought to identify the factors, challenges and strategies that enable and strengthen collaborative research practice in academia. Participants of the study are purposively chosen, self-selected faculty and students from an external campus and a unit in the main campus of a state university in Bulacan, Philippines, who have successfully completed collaborative research writing projects, presented collaborative research projects in conferences and symposia, or published said collaborative research projects. Data were gathered using a researcher developed instrument, validated, and checked for reliability. Analysis of results using principal components analysis led to the development of the DRREAM (Diversity, Role assignment, Relationship-building and peer interdependence, Ergonomic, flexible and adaptable processes, Acquisition of knowledge, skills and expertise, Motivation consideration) model, a conceptual framework on factors that strengthen effectual collaborative research writing; while the use of thematic analysis enabled the formulation of IPP (Individual, Professional and Personal) model, a conceptual framework on strategies to overcome challenges faced by collaborators in a collaboration research project. Finally, an Action Plan Framework for Effectual Collaborative Research Writing is proposed to promote the culture of collaborative research practices among the members of the academia. Keywords: collaborative research writing, research collaboration factors, research collaboration challenges and strategies, research culture in academia
Machine Learning Post-Minkowskian Integrals

We study a neural network framework for the numerical evaluation of Feynman loop integrals that are fundamental building blocks for perturbative computations of physical observables in gauge and gravity theories. We show that such a machine learning approach improves the convergence of the Monte Carlo algorithm for high-precision evaluation of multi-dimensional integrals compared to traditional algorithms. In particular, we use a neural network to improve the importance sampling. For a set of representative integrals appearing in the computation of the conservative dynamics for a compact binary system in General Relativity, we perform a quantitative comparison between the Monte Carlo integrators VEGAS and i-flow, an integrator based on neural network sampling.
Pelatihan Penulisan Naskah Ilmiah Jurnal Investigasi Volume 3 Nomor 1 Maret – Juni 2022 bagi Guru-guru se Kota Tangerang Selatan

Community service activities Scientific Manuscript Writing Training Journal Investigation Volume 3 Number 1 March-June 2022 For Teachers throughout South Tangerang City aims to help elementary / junior high school / junior high school / high school / vocational school teachers in South Tangerang City in writing scientific manuscripts that will be published in journals with ISSN. The training method is carried out using the method of assistance, discussion, workshop and technical guidance (bimtek) of writing scientific manuscripts in accordance with journal manuscript standards. The training results were obtained as many as 8 elementary school teacher manuscripts (62%), 3 junior high school teacher manuscripts (23%), and 2 high school / vocational school teacher manuscripts (15%) published in the journal INVESTIGATION Volume 3 Number 1 March-June 2022. The publication of teachers' scientific manuscripts in the journal INVESTIGATIVE is certainly very helpful for teachers in fulfilling the obligation to journalize their scientific manuscripts, so that they are not constrained in increasing classes or positions.
Linearity conditions leading to complete positivity

The reduced dynamics of an open quantum system $S$, interacting with its environment $E$, is not completely positive, in general. In this paper, we demonstrate that if the two following conditions are satisfied, simultaneously, then the reduced dynamics is completely positive: (1) the reduced dynamics of the system is linear, for arbitrary system-environment unitary evolution $U$; and (2) the reduced dynamics of the system is linear, for arbitrary initial state of the system ${\ensuremath{\rho}}_{S}$.
Introduction to Univalent Foundations of Mathematics with Agda

We introduce Voevodsky's univalent foundations and univalent mathematics, and explain how to develop them with the computer system Agda, which is based on Martin-L\"of type theory. Agda allows us to write mathematical definitions, constructions, theorems and proofs, for example in number theory, analysis, group theory, topology, category theory or programming language theory, checking them for logical and mathematical correctness. Agda is a constructive mathematical system by default, which amounts to saying that it can also be considered as a programming language for manipulating mathematical objects. But we can assume the axiom of choice or the principle of excluded middle for pieces of mathematics that require them, at the cost of losing the implicit programming-language character of the system. For a fully constructive development of univalent mathematics in Agda, we would need to use its new cubical flavour, and we hope these notes provide a base for researchers interested in learning cubical type theory and cubical Agda as the next step. Compared to most expositions of the subject, we work with explicit universe levels.
CASPER: Cognitive Architecture for Social Perception and Engagement in Robots

Our world is being increasingly pervaded by intelligent robots with varying degrees of autonomy. To seamlessly integrate themselves in our society, these machines should possess the ability to navigate the complexities of our daily routines even in the absence of a human's direct input. In other words, we want these robots to understand the intentions of their partners with the purpose of predicting the best way to help them. In this paper, we present CASPER (Cognitive Architecture for Social Perception and Engagement in Robots): a symbolic cognitive architecture that uses qualitative spatial reasoning to anticipate the pursued goal of another agent and to calculate the best collaborative behavior. This is performed through an ensemble of parallel processes that model a low-level action recognition and a high-level goal understanding, both of which are formally verified. We have tested this architecture in a simulated kitchen environment and the results we have collected show that the robot is able to both recognize an ongoing goal and to properly collaborate towards its achievement. This demonstrates a new use of Qualitative Spatial Relations applied to the problem of intention reading in the domain of human-robot interaction.