Reviewerly/exHarmony huggingface dataset:
COOPERATIVE INTEGRATED READING AND COMPOSITION (CIRC) METHOD TO READING COMPREHENSION ON DESCRIPTIVE TEXT OF EIGHT GRADERS AT SMPN 5 TAKENGON, ACEH TENGAH

Reading is one of receptive skills which lead people learn the context from kinds of information. The readers should be able to find out the main information from the text cearly. In this study, the researcher focused on students’ comprehension skill on reading descriptive text. Having done a pre-research, it was found that there were many students found it difficult to find out specific information from the text they read. Due to the finding, the research was aimed at finding out whether Cooperative Integrated Reading and Composition (CIRC) method was effective to improve students reading comprehension on descriptive text to second graders at SMPN 5 Takengon. Methodologically, this research referred to quantitative approach with experimental research design. The population of this research was all of the eight grade students of SMP N 5 Takengon with total number 112 students. As many 80 students were chosen to be samples which were divided into two classes, experimental and control, 40 students in each class. The data were analyzed by using t-test. It was found that the value of tobtained is higher than ttable (6.66 &gt; 2.02) at the level of significance 0,05. Meaning, Cooperative Integrated Reading and Composition (CIRC) method affected students’ reading comprehension ability on descriptive text.
CBCT-based active contour segmentation of bone invasion in oral squamous cell carcinoma - A preliminary retrospective study

Context: Bone invasion by oral squamous cell carcinoma (OSSC) alone forms a predictor of overall prognosis, survival rate. Volume of actual bone osteolysis might give valuable information for treatment planning rather than planar measurements. Aim: To compare the manual and semiautomatic active contour segmentation in the volumetric analysis of mandibular bone invasion by OSCC through Cone Beam Computed Tomography (CBCT). Settings and Design: Hospital-based, preliminary, retrospective study. Methods and Material: Ten CBCT DICOM images of histologically confirmed cases of OSCC with frank bone invasion in the mandible were selected from the archive after satisfying our inclusion and exclusion criteria. Volumetrical analysis of tumor eroded area in the mandibular alveolus were done through ITK SNAP software (version 3.2) both by manual and semiautomatic segmentation and compared with each other. Statistical Analysis Used: R statistical computing software v3.6.3 (R core foundation, Vienna) was used. Intraclass correlation coefficient (ICC), Bland and Altman method, Passing Bablok analysis with Pearson's Correlation, Dice Similarity coefficient (DSC) were done for single examiner reliability, comparison of volumes and segmentation accuracy respectively. The third metric, that is, time needed for each segmentation method was also compared and statistically analysed. Results: Since Pearson's correlation coefficient of r = 1 and P value was 0.233 (>0.005), semiautomatic method of volumetric segmentation proved to be as accurate and reproducible as manual method without any significant volume difference. In addition to that, semiautomatic method was 10 times more rapid than manual method. Conclusions: This is the first kind of study in the literature showing the feasibility of active contour semiautomatic segmentation in the volumetric analysis of bone invasion caused by the OSCC which might be helpful in efficient oncological treatment planning.
A Teacher’s Reward in Teaching at the University Level - “Ups and Downs"

The article analysis an important aspect related to a teacher’s reward in teaching at the university level, as the title suggests with ‘’ups and down’’ throughout one’s professional career. The teaching-instructional process and the experience that will be presented is from a personal perspective, that took place during the university period 2016-2017, at the National University of Arts of Bucharest, within the Department of Teacher Training (DTT) with students who wanted to become teachers in “plastic art /visual art education”. The design of the paper is based on a theoretical approach (e.g., recent studies, theories, case studies in the field, etc.), together with a “mini” research that includes two main target groups: the students’ opinions and perceptions reflecting different issues discussed (respondent who are preparing to become teacher in Art Education) and a teacher’s view based on “self-reflection or observations” grasped during the university period. Furthermore, this paper continues the exploration on the topic of preparing students to become teachers, which will be seen mirror wise – student versus personal reflections (“self-reflections method”). If in my previous article “Student’s level of satisfaction regarding their “Pedagogy” course training” the main focus was on preparing prospective teachers for teaching in the classroom, this paper will emphasis more on ones’ “reward” for being a teacher in higher education; a “reward” which is represented through comparison with a “coin” with two sides – “up and down”. The paper plans on investigating the students ‘and teacher’s view transmitted “directly or indirectly” and “consciously” or “unconsciously” through beliefs, feelings, emotions, etc., aspects that one felt throughout their university development. To this extent, this paper will explore three variables that are interconnected: personal, organizational and professional development, described as an ongoing system of pedagogical inquiry that reflects a number of inputs-processes-outputs.e.
Aspect Based Sentimental Analysis on Mobile Review Using R Programming

Nowadays, it is an era of online marketing and the vendors are directly connected with the customer to deliver these products and services. While providing these product and services, the vendors also take the feedback or opinions or the reviews about the product or services. These opinions are considered as the customer interest or the satisfaction. One of such online review systems is adapted by mobile industry to identify the user interest in mobile. A mobile is described different aspects such as camera quality, built quality, os etc. As the user review is accepted in the textual form, the analysis is required on these reviews to adapt the valuable information from it. This valuable information is divided in two main categories called the mobile aspect identification and the user sentiments identification. The sentiments of user are considered as quality measure of mobile as well as mobile aspects. These sentiments are defined by specific positive and negative adjectives used by the customer or reviewer. On the basis of reviews taken, the object under review is analyzed for quality and then recommends users to use that object or not. If the review is like the revenue of that item/mobile will be ascended but if the review is dislike, the revenue will be descended. Thus it is very vital to study and analyze reviews deeply.
Particle Swarm Optimization (PSO) and Its Use for ELD

Particle swarm optimization (PSO) is a biologically inspired computational search and optimization method developed by Eberhart and Kennedy in 1995 based on the social behaviors of birds flocking and fish schooling. Optimization is the method which is used to find the maximum or minimum value of a function or a process. PSO optimizes the nonlinear function. It was inspired by the helping nature of particle (birds, fishes) while searching for food. This social system was stimulated for the development of this approach. PSO approach produces high-quality solution in small time and fast convergence. In this process, particles fly in the space and search the food. They search the food by their own experience and also use the experience of nearby particles. Particles use the best position find by them along with their neighbor also. This social behavior is taken as an optimization tool in soft computing. Keywords: algorithm, data, particle string, ELD, ontogeny, optimization, particle swarm, velocity constraints
USING GAMES IN TEACHING SPECIALIZED VOCABULARY TO MARINE ENGINEERING STUDENTS

The collective monograph describes the theoretical and practical aspects of development of the European research area. The general issues of the history of pedagogy, theory and methods of teaching, correctional pedagogy, theory and methods of vocational education and educational management, the current state of philological research, etc. are considered. The publication is intended for scholars, teachers, postgraduate students, and students of pedagogical specialties, as well as a wide readership interested in pedagogy and philological. Theoretical and practical aspects of the development of the European Research Area: collective monograph / edited by authors. – 2nd ed. – Riga, Latvia : “Baltija Publishing”, 2020. – 334 p.
Supplementary materials for: OSIEshort: A small stimulus set can reliably estimate individual differences in semantic salience

This research was supported by ERC StartingGrant 852885318 INDIVISUAL; BdH was further supported by DFG Project No. 222641018 SFB/TRR 135,319 TP A8.
Encapsulating Reactive Behaviour in Goal-Based Plans for Programming BDI Agents: Extended Abstract

Reactive behaviour in Belief Desire Intention (BDI)-based models and architectures adopted in agent programming is typically specified in terms of reactive plans not bound to any specific goal. In this paper, we present and discuss an extension of the plan model used in BDI programming languages in which goal-based plans encapsulate both proactive and reactive behaviour. This brings important benefits both to the practice of agent programming and in supporting agent reasoning at runtime. The approach is evaluated through concrete implementations based on two existing agent programming platforms, namely Jason and ASTRA.
Reduce Time Process Using Apriori Algorithm On K-Wayjoin Based To Find Retail Business Data Relationship Pattern

The process of running a trading business, businesses must always update information on market competition that occurs. Running a trading business is not just opening a business place and waiting for consumers to shop. Consumers will lightly come to shopping places to shop for various reasons. From cheap prices, attractive arrangements, large parking lots, to the ease of finding items to buy. From these problems, business people will compete on how to easily attract customers to their place of business. One way to solve these problems is by structuring merchandise with the aim of customers to easily get the items they are looking for. One way to solve these problems is by structuring merchandise with the aim of customers to easily get the items they are looking for. Arrangements that are made do not originate from arranging the location of goods according to taste but are carried out on the basis of trends or trends in goods purchased by consumers when shopping. This process is often referred to as the "Data Mining" process is one of the effective methods for finding consumers' preferences to choose the items they buy. This process can be completed using the Apriori algorithm. The principle used by the Apriori algorithm is that if an itemset appears frequently, then all subset of itemset must also appear frequently. This results in repeated checking and will require a short time. Problems that require a short time, a method is proposed, namely by developing to be able to reduce the travel time of the process. The length of time that occurs in the process of calculating the value of support and confidance and the repetition process to find the value. The method used is to manipulate the use of query languages with a k-way join research approach so that the optimal query language arrangement can be obtained. The results obtained in this study are that execution times are relatively faster, with the results of the same association rules as those produced by the Priori method without any development or modification.
Solar power concentrator with photoelectric sensor control

The solved problem of the paper is the usage of a parabolic-cylindrical solar concentrator with a cylindrical solar absorber standing on the solar tracking stand previously used for solar photovoltaic panels.The purpose of the work is to prepare a solar-panel follow-up stand with a single-engine double-powered crank mechanism and a photo-electric control sensor for use with a solar-radiation parabol-cylindrical energy concentrator and a cylindrical concentrated solar absorber.In order to clarify and achieve the conformity of the parameters of the sun-tracking stand, the requirements of the parabola-cylindrical energy concentrator parameters were adjusted: photo-electric solar sensor electrical circuit was changed, in power amplifier operational amplifiers with internal frequency adjustments were used.As the principle of periodic rotation is used in the stand mechanism, a sunlight sensor, a mirror and a reflected radiation absorber, a plastic tube was mounted on the stand to determine the duration of the smallest rotation periods (the highest frequency) at which the machine is operating stable.During the experiments, when changing the duration of return periods, the stability of the plant was observed.It turned out that, if the return period is less than one minute, when the cloud covers the sun, the machine tries to turn around and move towards a lighter spot on the horizon, from which the sensor comes to a larger dispersed radiation that the parabolic concentrator does not use in practice.Also, there was determined the instability of the duration of return periods at different settings for the duration of the return period, the amplitude of the deviation (back-to-back) of the reflected radiation band from the mirror on the surface of the absorber during the return period and the minimum width of the mirror.
ANALISIS KETERLAMBATAN BAHASA PADA ANAK

The growth of language have biggest contribution to support the other growth. Accordingly, the growth of language in early child is important point to noticed. This aim of research to know type delay of language and factor of cause it. This research use qualitative of research type with approach of case study. The collecting of data in this research use interview, observation, and documentation. The based of result research indicate that he suffer delay of language type receptive. It was indicated when he communicate with his friend only use smile and body language. He seldom speech long sentence. The result of analyze indicate that heredity and sex affect his delay of language.
Deep Blue Sonics’ Submission to IWSLT 2020 Open Domain Translation Task

We present in this report our submission to IWSLT 2020 Open Domain Translation Task. We built a data pre-processing pipeline to efficiently handle large noisy web-crawled corpora, which boosts the BLEU score of a widely used transformer model in this translation task. To tackle the open-domain nature of this task, back- translation is applied to further improve the translation performance.
Features of Use of Lecture-Presentation in Higher Education Institutions in Modern Conditions

The article demonstrates that the use of a lecture-presentation has considerable potential and can be recommended for use in higher education institutions, both in-house and online. The advantages of the lecture-presentation are the ability to present the material in a structured form, to cover all the necessary amount of information and to sufficiently illustrate it with the help of tables, graphs, diagrams and figures. It is established that the use of lecture-presentation gives positive results, it is necessary: to master the method of using presentations, to ensure, if possible, comprehensive use of lecture-presentation and other teaching aids, to take into account all the pros and cons of using lecture-presentation for each topic. It is recommended to include elements of classical lectures in lectures-presentations or to alternate them, as well as to use additional teaching materials, they should not be turned into a simple slide show. The features of the lecture-presentation are characterized by the fact that the lecture-presentation allows to form the knowledge, skills and skills of students by engaging them in active educational and cognitive activity, significantly improving the process of information perception by students. The aforementioned lecture shows students how to translate oral and written information into a visual form that will enable the formation of professional thinking. When preparing teaching materials in the form of presentations, it is always possible to take into account the reaction of the audience to each section of the lecture. Some difficulties were revealed during the lecture-presentation, such as: use of additional time to translate the available lecture materials into the presentation form; availability of projector and computer; providing students with appropriate premises; technical complications.
Blockchain effect on the New Connect Stock Exchange

Aim/purpose -Blockchain is a distributed database system widely popular in social and business spheres.As a result, interest in blockchain technology is utilised by listed companies, who, thanks to the announcement of blockchain application, record a significant increase in the share value.The aim of this publication is to analyse the situation with regard to companies listed on the New Connect market, who over the last two years, expressed an interest in blockchain technology in their communication with investors.Design/methodology/approach -Observing the range of applications of this technology in business, a study was conducted to check if and how the information on using the blockchain technology affects the quotations of the New Connect market listed companies that applied it.Qualitative comparative analysis (QCA), a method developed by Ragin was chosen as a complementary research method.An underlying assumption of QCA is that social phenomena involve complex causality.Findings -In most cases, companies releasing blockchain application announcements counted on fast and high growth of the quotations.In most of the analysed cases, blockchain technology utilisation announcements were not fulfilled.This could be a result of conscious tactics towards investors, a rapid increase in quotations and/or a lack of competence and resources to implement blockchain technology.Investors should analyse the business activity of a company before investing.Research implications/limitations -Research is conducted with a small sample of 11 companies from the New Connect market in Poland.Consequently, to obtain more general results, it is recommended for future research to use a larger sample such as other stock exchanges in Europe and USA.Originality/value/contribution -The research revealed that new blockchain technology is used by some listed companies on the New Connect market for short-term share growth.Investors are becoming increasingly more attracted to the fashion for the new blockchain technology without understanding its mechanism.Accordingly, this study will also attempt to explain such a mechanism.
THE USE OF FIX THE MISTAKE GAME BOOK TO IMPROVE STUDENTS’ GRAMMAR MASTERY

The objective of the research was to describe the learning atmosphere during the implementation of “Fix the Mistake Game Book”. Besides, the research was also designed to know how the improvement of the students’ grammar during the implementation of “Fix the Mistake Game Book”. This research was a classroom action research. The research was carried out in first year students of MTSM Penyasawan. This research was conducted in two cycles by following the procedure of action research, i.e. planning, implementing, observing, and reflecting. The results of the research showed that the learning atmosphere also improved. The class became more enthusiastic and feel comfort. Furthermore, Fix The Mistake Game Book was able to improve the students’ grammar mastery. It was proven by the increase of the students’ mean score from 41.34 in pre-test to 47.83 in cycle 1, and 49.84 in cycle 2, although the results of the research were just a little bit improvement. It could be concluded that the use of Fix the Mistake Game Book has proven to be an effective way in teaching-learning of grammar on first year of MTSM Penyasawan.
Conditional Bisimilarity for Reactive Systems.

Reactive systems a la Leifer and Milner, an abstract categorical framework for rewriting, provide a suitable framework for deriving bisimulation congruences. This is done by synthesizing interactions with the environment in order to obtain a compositional semantics. We enrich the notion of reactive systems by conditions on two levels: first, as in earlier work, we consider rules enriched with application conditions and second, we investigate the notion of conditional bisimilarity. Conditional bisimilarity allows us to say that two system states are bisimilar provided that the environment satisfies a given condition. We present several equivalent definitions of conditional bisimilarity, including one that is useful for concrete proofs and that employs an up-to-context technique, and we compare with related behavioural equivalences. We instantiate reactive systems in order to obtain DPO graph rewriting and consider a case study in this setting.
Automated Scoring of Self-Explanations Using Recurrent Neural Networks.

Intelligent Tutoring Systems (ITSs) focus on promoting knowledge acquisition, while providing relevant feedback during students’ practice. Self-explanation practice is an effective method used to help students understand complex texts by leveraging comprehension. Our aim is to introduce a deep learning neural model for automatically scoring student self-explanations that are targeted at specific sentences. The first stage of the processing pipeline performs an initial text cleaning and applies a set of predefined rules established by human experts in order to identify specific cases (e.g., students who do not understand the text, or students who simply copy and paste their self-explanations from the given input text). The second step uses a Recurrent Neural Network with pre-trained Glove word embeddings to predict self-explanation scores on a scale of 1 to 3. In contrast to previous SVM models trained on the same dataset of 4109 self-explanations, we obtain a significant increase of accuracy from 59% to 73%. Moreover, the new pipeline can be integrated in learning scenarios requiring near real-time responses from the ITS, thus addressing a major limitation in terms of processing speed exhibited by the previous approach.
A Simple and Effective Dependency Parser for Telugu

We present a simple and effective dependency parser for Telugu, a morphologically rich, free word order language.We propose to replace the rich linguistic feature templates used in the past approaches with a minimal feature function using contextual vector representations.We train a BERT model on the Telugu Wikipedia data and use vector representations from this model to train the parser.Each sentence token is associated with a vector representing the token in the context of that sentence and the feature vectors are constructed by concatenating two token representations from the stack and one from the buffer.We put the feature representations through a feed forward network and train with a greedy transition based approach.The resulting parser has a very simple architecture with minimal feature engineering and achieves state-of-the-art results for Telugu.