Reviewerly/exHarmony huggingface dataset:
AN ANALYSIS OF TEACHER'S STRATEGIES TO IMPROVE STUDENTS READING SKILL AT SMA NEGERI 8 BANDA ACEH

This study tries to analyze teacher's strategies in teaching reading skills. Strategy is a plan or method used by teachers in teaching. The research problem of this research is, what are the strategy used by English teachers in teaching reading skills in the second grade of senior high school 8 Banda Aceh and how the teacher applies the strategy in teaching reading skills. This research used qualitative research methods. The subjects of this study were English teachers in grade 2 MIPA 3 and 2 MIPA 5 in senior high school 8 Banda Aceh. This study used observation and interviews as the research instruments. To analyze the data, the researcher summarized the information about teacher's strategy in teaching reading skill from the result of interview with teacher, and describe what teachers do when teaching reading through observation. The results revealed that the teachers used several strategies in teaching reading skills. The strategies used by the teachers in grade 2 MIPA 3 and 2 MIPA 5 are: (1) Analyzing vocabulary, (2) How to pronounce, and (3) Translation. Whereas the teachers in grade 2 MIPA 5 used the following strategies: (1) Questions and Answer (2) Analyzing vocabulary, and (3) Discussion. Based on the results of observation and interviews, the teachers were able to apply several strategies using different techniques. The teachers used those strategies so that the students more easily understand reading skill, and those strategies helped the teachers to guide the students to be more focus on the text.
Interplay between strong and weak measurement: comparison of three experimental approaches to weak value estimation

Weak values are traditionally obtained using a weak interaction between the measured system and a pointer state. It has, however, been pointed out that weak coupling can be replaced by a carefully tailored strong interaction. This paper provides a direct comparison of two strong interaction-based approaches (strong interaction accompanied by either a suitably prepared pointer state or quantum erasure) and the traditional weak interaction-based method. Presented theoretical derivations explicitly prove analytical equivalence of these approaches which was subsequently certified by an experiment implemented on the platform of linear optics. We find that strong-interaction-based measurements are experimentally less demanding on this platform.
AN ANALYSIS OF ENGLISH TEACHERS’ STRATEGIES IN TEACHING WRITING AT SMP NEGERI 3 BINTAN

Writing is not an easy skill to deal with or understand. As everything need strategies, also in writing an English text. The objective of this research was to know teaching writing strategies used by the teachers at SMP Negeri 3 Bintan in improving students’ writing skill. This research used qualitative method and structured interview to collect the data. By the two methods, researcher presented the result by describing it into a good explanation in the form of words. The result showed that two English teachers at SMP Negeri 3 Bintan used Photography, Graphic Organizer and Story Staters as the strategies in improving students’ writing skill.
Non-local configuration of component interfaces by constraint satisfaction

Service-oriented computing is the paradigm that utilises services as fundamental elements for developing applications. Service composition, where data consistency becomes especially important, is still a key challenge for service-oriented computing. We maintain that there is one aspect of Web service communication on the data conformance side that has so far escaped the researchers attention. Aggregation of networked services gives rise to long pipelines, or quasi-pipeline structures, where there is a profitable form of inheritance called flow inheritance. In its presence, interface reconciliation ceases to be a local procedure, and hence it requires distributed constraint satisfaction of a special kind. We propose a constraint language for this, and present a solver which implements it. In addition, our approach provides a binding between the language and C++, whereby the assignment to the variables found by the solver is automatically translated into a transformation of C++ code. This makes the C++ Web service context compliant without any further communication. Besides, it uniquely permits a very high degree of flexibility of a C++ coded Web service without making public any part of its source code.
THE EFFECT OF DUOLINGO APPLICATION TOWARDS STUDENTS’ VOCABULARY AT EIGHT GRADE OF SMPN 19 MERANGIN ACADEMIC YEAR 2019/2020

Vocabulary is the study of the meaning of words  and how the word are used or all the words that a person know or use.Vocabulary, is part of a component in language, and also an important component for students to learn at school because vocabulary is a part of communication to interaction with others. The purpose of the research is to find out the effect of duolingo application in teaching vocabulary at eight grade of SMPN 19 Merangin academic year 2019/2020. The design of this research was quantitative experimental research. The purpose of this study is to identify significant differences between the experimental class (duolingo) and the control class (conventional).Researcher call this research as a quantitative research in kind quantita tive experimental research design that involves one only group pre-test and post-test. The population is all of the students from A until D class which consist of 84 students, and each class consists of 21 students. For the sample is D and C classes that consists of 21 students selected by purposive sampling. Then, the instrument for the vocabulary test in this study consisted of twenty questions that had been previosly validated from 30 into 20 question in the form of multiple choices consisting of four choices between a, b, c and d, determining the right words and adjusting the correct vocabulary sentences. This test aims to compare the results of the post-test between the experimental class and the control class by using a paired sample Ttest in SPSS 20.0. Whether effective or not.Based on Independen sample T-test on group statistic the main score of post-test of experiment class that is 58.81 is lower than the post-test of control class that is 59.52. Based on the result of independent T-test, Konvensional method is more effective in teaching vocabulary than using Duolingo application in teaching vocabulary. Thus, there was a significant difference.
HUBUNGAN KEPUASAN KERJA TERHADAP KOMITMEN STAF ORGANIK PERUSAHAAN MOBIL RENTAL

T h e aim  of this  re s earch  is to find th e  co rr e l a t i o n be t we e n j o b  satisfacti o n  and  o r gan iz ational c om mi tm e n t  on Ca r R e n t a l o r g a n i c s t a ff ( d ri v er) . Job s a t i s f a c t i o n is r e l a t e d t o n u m b e r o f m ajor e m p l o ye e v a r i a b l e s .  suc h as t u r n o v e r , a b s e n c es , a g e ,  o c cu p a t io n a nd siz e o f t h e o r g a n i z a t i o n  i n w h i c h a n e m p l o y e e w o r k s . Wh ile  o r ga ni za t io n  co mm i tm e nt  i s d egree w h i c h . i s th e e m p l o y ee  i d e nt ify  a n d  i n t e rn a l i z e  th e o r g a n iz atio n a l  v a l u es , w hi c h m a k e th e e mpl oyee w an t t o stay i n o r g a n i z a ti o n . T h e resea r c h e r  us ing th e m e th od ofdiscre p a n cy t h eory b y Port e r t o fi gu r e o u t a ll o f t h e a s p ect s that capab l e ofi n c r e a s i n g or e v e n d e c r easi n g th e leve l o f j o b s a t i s f a c t i o n r e f e r t o th e o r g a n i z a t i o n a l co mm i tm e n t  a s th e r es ult o f t h i s r e s e a r c h . T h e p o pul a t io n o f s a m p l e is th e o r ga ni c staff i n Ca r R e n t a l C o m p a n y , o n e of t h e b i gg est in Bandung, tha t ha s b e en used by ma ny co mp a ni es in B an d u n g . Th e r ese ar c h e r  u se t h e p u rp o s i v e s a m p l i n g t o gat h e r al l o f i nfo m a t i o n n e e d e d ,  w h e r e j o b s a t i s f a c t i o n as v aria b l e X a nd o r g a n i z a t i o n a l co mmitm e n as v ariable Y . And t hi s r esea r c hfind o ut t h a t o r g anizat io n a l c o mmitm e nt in flue n ce positiv e l y t o w a r d s j o b s a t i s f a c t i o n .
Synthesizing Quantum Circuits via Numerical Optimization

We provide a simple framework for the synthesis of quantum circuits based on a numerical optimization algorithm. This algorithm is used in the context of the trapped-ions technology. We derive theoretical lower bounds for the number of quantum gates required to implement any quantum algorithm. Then we present numerical experiments with random quantum operators where we compute the optimal parameters of the circuits and we illustrate the correctness of the theoretical lower bounds. We finally discuss the scalability of the method with the number of qubits.
Determinación de los ataques cibernéticos claves a través de la técnica MICMAC y su influencia económica financiera al adquirir herramientas de seguridad automatizada

The purpose of this research was to determine the most common key cyber-attack techniques to consider when developing cybersecurity strategies and appropriate tools that can be applied to any company, asset or threat, its financial economic relationship and evidencing the relationship of influence and dependence of these attacks. The study was classified as qualitative, documentary review was carried out and brainstorming and MICMAC techniques were applied. As a result, it was obtained that attacks such as Botnets, Machine learning poisoning, Exploitation of vulnerabilities among others, are attacks that require a rigorous monitoring and monitoring that allows to verify the effectiveness of the control of common attacks in general, because they depend on the behavior of the attacks key. It is concluded that social engineering attack is decisive, when formulating strategies and tools that repel cyber-attacks. It is recommended to formulate strategies and tools focused on key attacks and determinants.
SMART

Finding repetitive nucleic acid elements is a crucial step in many sequence analysis tasks. These include the challenging task of sequence assembly, the linkage of repeats to genetic disorders, and the identification of gene transfer. The most widely-used tool for finding repeats de novo is REPuter [2]. REPuter relies on extending maximal repeated pairs in order to enumerate all maximal k-mismatch repeats. Unfortunately, the number of these pairs can be quadratic in n, the length of the input sequence, and thus greedy heuristics are applied by its successor Vmatch to speed up the extension process. In this talk, we will introduce the concept of supermaximal k-mismatch repeats, whose number is linear in n, and capture all maximal k-mismatch repeats: every maximal k-mismatch repeat is a substring of some supermaximal k-mismatch repeat. We will present SMART, a tool based on recent algorithmic advances implemented in C++ to compute supermaximal k-mismatch repeats directly. We will also show that the elements SMART outputs are statistically much more significant than the output of the state-of-the-art tools. The full paper describing SMART appeared as [1].
Mimicking disorder on a clean graph: Interference-induced inhibition of spread in a cyclic quantum random walk

We quantitatively differentiate between the spreads of discrete-time quantum and classical random walks on a cyclic graph. Due to the closed nature of any cyclic graph, there is additional "collision"-like interference in the quantum random walk along with the usual interference in any such walk on any graph, closed or otherwise. We find that the quantum walker exhibits inhibition of spread in comparison to the classical one, even in the absence of disorder, a phenomenon that is potentially attributable to the additional interference in the quantum case. This is to be contrasted with the situation on open graphs, where the quantum walker, being effectively denied the collision-like interference, garners a much higher spread than its classical counterpart. Inhibition of spread also occurs on open graphs, but with insertion of disorder. We use the Shannon entropy of the position probability distribution to quantify the spread of the walker in both quantum and classical cases. We find that for a given number of vertices on a cyclic graph, the entropy with respect to number of steps for the quantum walker saturates, on average, to a value lower than that for the corresponding classical one. We also analyze variations of the entropies with respect to system size, and look at the corresponding asymptotic growth rates.
Exemplar Guided Active Learning.

We consider the problem of wisely using a limited budget to label a small subset of a large unlabeled dataset. We are motivated by the NLP problem of word sense disambiguation. For any word, we have a set of candidate labels from a knowledge base, but the label set is not necessarily representative of what occurs in the data: there may exist labels in the knowledge base that very rarely occur in the corpus because the sense is in modern English; and conversely there may exist true labels that do not exist in our knowledge base. Our aim is to obtain a classifier that performs as well as possible on examples of each class that occurs with frequency above a given threshold in the unlabeled set while annotating as few examples as possible from rare whose labels occur with less than this frequency. The challenge is that we are not informed which labels are common and which are rare, and the true label distribution may exhibit extreme skew. We describe an active learning approach that (1) explicitly searches for classes by leveraging the contextual embedding spaces provided by modern language models, and (2) incorporates a stopping rule that ignores classes once we prove that they occur below our target threshold with high probability. We prove that our algorithm only costs logarithmically more than a hypothetical approach that knows all true label frequencies and show experimentally that incorporating automated search can significantly reduce the number of samples needed to reach target accuracy levels.
Towards Porting Astrophysics Visual Analytics Services in the European Open Science Cloud

The European Open Science Cloud (EOSC) aims to create a federated environment for hosting and processing research data to support science in all disciplines without geographical boundaries, such that data, software, methods and publications can be shared as part of an Open Science community of practice. This work presents the ongoing activities related to the implementation of visual analytics services, integrated into EOSC, towards addressing the diverse astrophysics user communities needs. These services rely on visualisation to manage the data life cycle process under FAIR principles, integrating data processing for imaging and multidimensional map creation and mosaicing, and applying machine learning techniques for detection of structures in large scale multidimensional maps.
Towards Dialogue Models for Online Grooming Detection

Social networks are a popular way for people to engage in activities and find new friends over the Internet. One central feature that these services share is the possibility for users to interact a ...
Exploring Coreference Features in Heterogeneous Data with Text Classification

The present paper focuses on variation phenomena in coreference chains. We address the hypothesis that the degree of structural variation between chain elements depends on language-specific constraints and preferences and, even more, on the communicative situation of language production. We define coreference features that also include reference to abstract entities and events. These features are inspired through several sources – cognitive parameters, pragmatic factors and typological status. We pay attention to the distributions of these features in a dataset containing English and German texts of spoken and written discourse mode, which can be classified into seven different registers. We apply text classification and feature selection to find out how these variational dimensions (language, mode and register) impact on coreference features. Knowledge on the variation under analysis is valuable for contrastive linguistics, translation studies and multilingual natural language processing (NLP), e.g. machine translation or cross-lingual coreference resolution.
Citation locality as a scientometric indicator for regional researchers: On target setting

Introduction of the scientometric indicator for citation quality evaluation is substantiated. The author suggests introducing the term “Citation locality coefficient”. To define permissible level of citation locality, two criteria are introduced: (1) for regional researchers, the number of citations in the local scientific journals and (2) for regional researchers, the number of citations in publications affiliated with the regional organizations. The calculation logics based on Herfindahl index and permissible self-citation ratio is substantiated.
PENGARUH GAYA BELAJAR DAN DISIPLIN SISWA TERHADAP PRESTASI BELAJAR KORESPONDENSI SISWA KELAS X SMK NEGERI 1 TANJUNG PURA TAHUN AJARAN 2018/2019

The purpose of this study are: 1) the influence of learning styles on correspondence learning achievement, 2) the influence of student’s discipline on correspondence learning achievement, 3) the influence of student learning styles and discipline on the correspondence learning achievement of class X AP students of SMK Negeri 1 Tanjung Pura TA 2018/2019. This research was held at SMK Negeri 1 Tanjung Pura with a population of 102 students and a sample of 50 students. The instrument used to measure student learning styles and disciplines in the form of questionnaires and to measure student learning achievement of students' correspondence is used the student’s correspondence scores of class X AP students of SMK Negeri 1 Tanjung Pura T.A 2018/2019. The data technique analysis is use multiple linear regression and to test the hypothesis.The results of data analysis obtained multiple regression equations is Y = 36,739 + 0,217 X1 + 0,337 X2 + e. The results of the t-test obtained by tcount = 4.646 with a significant level of 0,000 <0.05 for hypothesis 1 and for hypothesis 2 obtained tcount = 5,008 with a significant level of 0,000 <0,05. While simultaneous hypothesis testing obtained Fcount = 45,849 with a significan level of 0,000<0,05
On the Linear Convergence Rate of the Distributed Block Proximal Method

The recently developed Distributed Block Proximal Method, for solving stochastic big-data convex optimization problems, is studied in this letter under the assumption of constant stepsizes and strongly convex (possibly non-smooth) local objective functions. This class of problems arises in many learning and classification problems in which, for example, strongly-convex regularizing functions are included in the objective function, the decision variable is extremely high dimensional, and large datasets are employed. The algorithm produces local estimates by means of block-wise updates and communication among the agents. The expected distance from the (global) optimum, in terms of cost value, is shown to decay linearly to a constant value which is proportional to the selected local stepsizes. A numerical example involving a classification problem corroborates the theoretical results.
Improve Novel Class Generalization By Adaptive Feature Distribution for Few-Shot Learning

In this work, we focus on improving the novel class generalization of few-shot learning. By addressing the difference between feature distributions of base and novel classes, we propose the adaptive feature distribution method which is to finetune one scale vector using the support set of novel classes. The scale vector is applied on the normalized feature distribution and by using one scale vector to reshape the feature space manifold, we obtain consistent performance improvement for both in-domain and cross-domain evaluations. By simply finetuning one scale vector using 5 images, we observe a 2.23% performance boost on 5-way 1-shot cross-domain evaluation with CUB over statistics results of 2000 episodes. This approach is simple yet effective. By just finetuning a single scale vector we provide a solution of reducing number of parameters while still obtain generalization ability for few-shot learning. We achieve the state-of-the-art performance on mini-Imagenet, tiered-Imagenet as well as cross-domain evaluation on CUB.
Review Procedures of Transport Vehicles in KMP Baronang Track Bastiong - Sofifi North Maluku Province

Bastiong Ferry Port is managed by PT. ASDP Indonesia Ferry (Persero) Branch of Ternate airport 9 and examined by eight types of ferry Ro-Ro (Roll on-Roll off). The commercial track located in The Port of Bastiong Ferries is the track of Bastiong - Sofifi which the shipping distance is 14 nautical miles and has a travel time of 2 hours with average speed - average 8 knots. The Tracks Bastiong - Sofifi has the highest trip which is 7 trips a day, therefore it is allowed that the passengers and vehicles that transported more than other tracks. So much in ordinances of transport does not comply with the regulation No. 115 of 2016 which includes: weighing before loading onto ships, information on the weight and type of content, the type of fastener tools in use, the distance between the vehicle and the sterilization space vehicles of passengers during the voyage. Based on analysis of the problems in the KMP. Baronang, still found some problems such as the unavailability of the weighbridge at The Port of Bastiong Ferries, information about the weight and type of cargo that is not attached when the vehicle is loaded onto the ship, the type of fastener tools that are not in accordance with the rules that have been set, the distance between the vehicle distance adjacent vessel and the condition of the vehicle is not sterile space of the passengers during the voyage. Therefore, it is necessary in a further analysis concerning the procedures for the transport to suit the regulation No. 115 of 2016 ship that security and safety is maintained during the voyage.
IMPROVING THE COMMUNICATION FOR CHILDREN WITH SPEECH DISORDERS USING THE SMART TOYS

An attempt is made to develop a smart toy to help the children suffering with communication disorders. The children suffering with such disorders need additional attention and guidance to understand different types of social events and life activities. Various issues and features of the children with speech disorders are identified in this study and based on the inputs from the study, a working architecture is proposed with suitable policies. A prediction module with a checker component is designed in this work to produce alerts in at the time of abnormal behaviour of the child with communication disorder. The model is designed very sensitively to the behaviour of the child for a particular voice tone, based on which the smart toy will change to tones automatically. Such an arrangement proved to be helpful for the children to improve the communication with other due to the inclusion of continuous training for the smart toy from the prediction module.