Reviewerly/exHarmony huggingface dataset:
A Study of Students’ Motivational Dynamics in College English Classes

Students' motivation in learning English in class is not static but dynamic and multidimensional.This has been recognized by more and more researchers, but studies of this phenomenon are still in early stage.Besides, researches on Macau local university students' (non-English majors) learning motivation in English class on the basis of Dynamic Systems Theory have not been found.In order to explore the features of these students' learning motivation in English class, and fi nd out the factors that infl uence their English learning, a case study is conducted to investigate the change of students' motivation in learning English in the classroom context.It reveals that under the infl uence of different situational contexts and external factors, the change of students' motivation in learning English shows individual differences, while at the same time follows some certain patterns -the attractor state.These fi ndings may be benefi cial to English teaching and learning in Macau universities, helping teachers better motivate Macau local students to learn English in class.
Access All Areas

A new breed of small, powerful and immersive simulators from Ansible Motion are enabling more engineers to get the time they need to evaluate vehicles in a virtual world
Smart Printing Management System Using Structured Analysis

The Smart Printing Management System is an online printing ordering system. The purpose of developing this system is to take online printing orders in a much more efficient way from the customer so that the customer does not have to wait for a long time at the shop to print up their stuff. The system also provides printing templates design for each category of printings so that the customer can customize their own printing designs before they upload their material to order. The system also will manage the daily printing sales record from the customer which is the daily printing sales report will be saved in the system so that the shop will have proper records of the customer's sales every day. They can also view the daily printing sales report in a graph form where it will be easier to evaluate their daily sales. Moreover, the system also will manage the product stock as well which is the system will display "low stock" for the quantity of the product stock is less than 10. So the shop can know which the specific number of the item is currently available for the customer to purchase. Moreover, the admin also can add and edit the product stock whenever needed. Furthermore, this system also helps the shop to avoid product overstock and outages. The methodology that use to develop this system is the waterfall model.
A Modular Revolution

A quiet revolution is taking place in hardware design, causing a dramatic improvement in design efficiency.
The Effectiveness Of Using English Songs To Teach Listening Skill of the Senior High Students in Samarinda

English is the one of the international languages which taught and learned in Indonesia as a foreign language. English skills are dividedinto 4 skills that the students need to be mastered. There are speaking, reading, writing, and listening. Listening is an important skill becauseit can make someone knowsomething in English properly. Students have problems when they listen to the native speakers. A bad listening skill of Senior High School students made the researcher took listening skill and then tried the English songs to teach the students to solve the problems they got when they learned listening skill in the class. The research design of this research is experimental research. The population is the tenth grade students of SMAN 2 Samarinda and the sampling technique in this research used simple random sampling. To collect the data the researcher conducted the pre-test and post-test to know about the score of listening test. To analyse the data the researcher used t-test formula. The research objective was to find out whether there waseffective or not for the students who have been taught by using English songs. The researcher used two classes for control class and experiment class. The sample of this research was X Language and Culture and X Social 3 at SMA Negeri 2 Samarinda.The instrument of the research is the listening test, there is fill in the blank test. In analyzing the data, it used repeated measure t-test in which significance level 5% with d.f. = Pairs – 1. The result of the research showed that mean score in pretest of the students’ in experiment class was 52,78 and the mean score of the students’ in control class was 59,89. While the mean score in posttest of the students’ in experiment class 76,17 and the students’ in control class was 54,50. The result also showed that there was a significant difference of the mean score. It had increased about 23,39 in experiment class after treatments. The result of tcount was 24,767 with significant level 5% with d.f. = Pairs – 1.It was found t- table = 2,030.Because of thet-calculated&gt;t-table, so it could be concluded that there was significant. So, the Alternative Hypothesis (Ha) in this research is accepted. In conclusion, it can be said that English songs is effective to teach listening skill.
COMPARATIVE ANALYSIS OF STEGOSYSTEMS WITH EMBEDDING IN THE LEAST SIGNIFICANT BITS WITH MATCHING AND SUBSTITUTION

The work presents the results of a comparative analysis of stegosystems with algorithms for embedding in the least significant bit with matching and substitution for differences in the procedure for embedding additional information in the covering object and the resistance of the obtained steganograms to various methods of steganalysis. When using stegosystems with embedding algorithms in the least significant bit with matching and substitution, samples of steganograms with different embedding fractions were obtained for a sample of 200 covering objects. The results of the steganogram analysis on the steganogram data were analyzed, the obtained steganogram samples were compared to the detection of the presence of an additional information attachment using three steganalysis methods: visual attack, first-order statistical attack (chi-square attack) and second-order statistical attack (pairwise selective analysis attack). The presented example of images before and after a visual attack, for samples steganograms with attachments in the least significant bit with substitution and matching, with an investment fraction of 10%, 50% and 100%, allows to demonstrate the performance of the visual method steganalysis. The graphical representation of the results for first-and second-order attacks allows us to evaluate the effectiveness of the studied methods of stegoanalysis for stegosystems with algorithms for embedding in the least significant bit with matching and substitution. It is shown that a stegosystem with an algorithm for embedding in the least significant bits with matching is more resistant to detection attacks using modern methods of stegoanalysis. Conclusions are made about the possibility of applying the considered methods of stegoanalysis to the presented methods of stegosystems
The Use of English Songs to Teach Listening Skill

There are four English skills that determine the learner’s performance in English. One of the very important skills is listening. The successful learning not only depends on the learner but also to the teacher. Teaching listening is one of the important thing that English teacher must know how to teach it. Teaching listening is not easier because not all of learners like listening. The teacher must create the enjoyable atmosphere, fun and interesting situation as possible as teacher can. The enjoyable atmosphere will have good effects on the education, because if they dislike the subject it will drop their spirit as soon as possible. In other word, the teacher should make learning enjoyable because many students like listening song and learn well when they are enjoying themselves. Using song can be boastful to motivate the students in learning English as well to enhance their ability in listening skill.
Approach to Fall Detection Technologies Developed for the Elderly

Introduction. The falls and subsequent injuries to the elderly are a major public health problem in terms of morbidity, mortality and high costs. A wealth of research based on Information and Communication Technologies (ICTs) has approached the issue from the point of view of the fall detection. Purpose. The purpose of the review is to search for available fall detection systems based on ICT. Methodology. A systematic literature review was carried out at PubMed, Cochrane Central, Embase databases from 2010 to 2018. The terms "fall detection", "sensor technologies", "smart homes", "ambient sensors" were searched. Results. Most of the fall detection systems have been developed on the same philosophy, namely to limit the serious impact of the elderly long staying on the ground after a fall. The main purpose of these systems is to distinguish between fall events and daily activities. Most algorithms are designed based on data sets containing a mixture of daily life activities and simulated falls. Various solutions are available with most include portable devices, while others include technologies embedded in the home environment Conclusions. The evaluation results of several fall detection technologies have shown that they can improve the autonomy of older people, extending their living in the community safely. keywords : fall detection, sensor technologies, smart homes, ambient sensors
The Inspiring Lecturers of Teaching English

Mastering English is very important for the students, especially because of English, is necessary as a means of getting knowledge. Moreover, English can help the learners to make a change for the country and also his/her life. English is an official language or chosen language as in many schools across the globe. The competence of teachers should be improved. English learners in the modern language classroom often learn through techniques drawn from a variety of methods/approaches in such a way to make a teaching and learning become successful and meaningful. The teachers may select techniques from various approaches according to the different needs of their learners with only a single purpose to create bright students and qualified human resources.
Blockchain can be the best technology for reducing cyber risks in financial services industry

Blockchain is a decentralized ledger where each member has access to the latest copy of encrypted ledger which consist of deals and transactions taken place with the help of digital currencies for validating. Basically ,it's a distributed database that is tamper proof which holds batches of individual transactions. Each completed block has different features like Chronology, linearity, time stamp and information links to the previous blocks.The present research identifies different cyber security applications that are used by architects viz.,cryptography,Personal Identification Information, and web applications in implantationof block chain technology with the help of peerreview literature in managing the cyber risks anddrive the future of financial services industry by using IOT,Machine Learning andArtificial Intelligence etc.,
Exploring of Childhood Education and Development Using GRA Method

Childhood Education and Development Childhood development stages are categorized into 5 areas which consist of a number of milestones that a child will attain.The areas of preschool development are socio-emotional, fine motor skill, gross motor skill, speech and language, and cognitive development for preschoolers Solid for lifelong learning and well-being and of the child to build a broad base Social, emotional, cognitive and physical needs It aims at holistic development.Childhood Education and Development is the Psychology stress less and enjoy the best Relational Analysis (GRA) method showing.GRA(Gray Relational Analysis) Method, Background variables, General teacher characteristics, ICT-related teacher characteristics, Attitudes towards ICT, ICT use in early childhood education Alternatives.Teachers' ICT competences, ICT professional development, General innovativeness, Teacher self efficacy, years of experience the evaluation parameters reached ICT use in early childhood education is got the first rank whereas is the ICT-related teacher characteristics are having the Lowest rank.
VIKOR Method: A Case Study of the Child Engagement with Digital Evaluation in India.

Engagement is defined as Participating in an activity, peers or Communicating with teachers or Materials in a developmentally appropriate manner (Bailey & Wolery, 1992; Mc William et al., 1985).Children who engage better quality and mental in learning activities there is health.How much of their learning those who are involved, it is their mental and good for physical health.It is in education a lifetime of help to succeed Helps develop skills.The objective of this paper is to find VIKOR best and worst Child Engagement with Digital at this value.The VIKOR (VIšekriterijumskoKompromisnoRangiranje) Optimal replacement Select method is used Adoption, Interface, Task, Behaviour, Life and evaluation parameters, Sphere of experience, Psychological needs (mediators) in context, Evaluation measures, Desirable outcomes.Life got the first rank whereas is the Behaviour is having the Lowest rank.
CORRELATION OF READING HABIT TO READING COMPREHENSION IN AN EFL CONTEXT AT UNIDAYAN BAUBAU

The main objective of this research is to find out to what extent the correlation between reading habit and reading comprehension of the students of Unidayan Baubau. This research is ex post facto with quantitative approach. The instruments of the research are questionnaire and reading comprehension test. They are administered to 197 students of Unidayan Baubau. The result of the research indicated that the students’ reading habit in Unidayan Baubau is in moderate level. This conclusion obtains from descriptive data which reveals that mean score of students’ reading habit is 129.79 and 89 students or 45.2 % of all participants has moderate reading habit with range score from 123.91 to 135.68. The researcher found that the students’ reading comprehension in Unidayan Baubau is in moderate level as well. This conclusion obtains from descriptive data which reveals that mean score of students’ reading comprehension is 54.53 and 95 students or 48.2 % of all participants has moderate reading comprehension with range score from 48.97 to 60.09. The researcher found that there is significant correlation between reading habit and reading comprehension. It can be seen that students’ reading habit and reading comprehension denote a positive correlation. It can be seen from r coefficient is 0.748. The researcher also found that there is significant correlation between reading habit toward reading comprehension. It can be seen from the analysis result which reveals that Fobserved is 248.06 with probability value or p is 0.000 and determinant coefficient (R Square) is 0.560. It means that reading habit influenced 56 % of students’ reading comprehension while 44 % influenced by other variables.
STUDENTS’ PROBLEM IN SPEAKING ENGLISH AT SECOND GRADE OF SMA NEGERI 1 SIOMPU BARAT

Students’ Problem in Speaking English at Second Grade of SMA Negeri 1 Siompu Barat, La Mido, FKIP Unidayan Baubau. This research aims to investigate the problems of speaking English at the second grade of SMA Negeri 1 Siompu Barat. This research applied a qualitative research, categorized as a case study. Two kinds of instruments of collecting data were used; observation and interview. In analyzing the data, the researcher used three steps inner activities analysis; data reduction, data presentation, and conclusion drawing. The result of the research showed that there are two problems of speaking English at the second grade of SMA Negeri 1 Siompu Barat, consist of psychological and language problems. The psychological problems were fear of mistake, shyness, anxiety, lack of confidence, and motivation. Meanwhile, the students’ speaking problem from language use were inhibition, nothing to say, low or even participation and mother tongue use. It can be concluded that there were some problems of speaking English at the second grade of SMA Negeri 1 Siompu Barat.
Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow

Recent research has shown that language models exploit `artifacts' in benchmarks to solve tasks, rather than truly learning them, leading to inflated model performance. In pursuit of creating better benchmarks, we propose VAIDA, a novel benchmark creation paradigm for NLP, that focuses on guiding crowdworkers, an under-explored facet of addressing benchmark idiosyncrasies. VAIDA facilitates sample correction by providing realtime visual feedback and recommendations to improve sample quality. Our approach is domain, model, task, and metric agnostic, and constitutes a paradigm shift for robust, validated, and dynamic benchmark creation via human-and-metric-in-the-loop workflows. We evaluate via expert review and a user study with NASA TLX. We find that VAIDA decreases effort, frustration, mental, and temporal demands of crowdworkers and analysts, simultaneously increasing the performance of both user groups with a 45.8% decrease in the level of artifacts in created samples. As a by product of our user study, we observe that created samples are adversarial across models, leading to decreases of 31.3% (BERT), 22.5% (RoBERTa), 14.98% (GPT-3 fewshot) in performance.
Symbolic Quantum Simulation with Quasimodo

The simulation of quantum circuits on classical computers is an important problem in quantum computing. Such simulation requires representations of distributions over very large sets of basis vectors, and recent work has used symbolic data-structures such as Binary Decision Diagrams (BDDs) for this purpose. In this tool paper, we present Quasimodo, an extensible, open-source Python library for symbolic simulation of quantum circuits. Quasimodo is specifically designed for easy extensibility to other backends. Quasimodo allows simulations of quantum circuits, checking properties of the outputs of quantum circuits, and debugging quantum circuits. It also allows the user to choose from among several symbolic data-structures -- both unweighted and weighted BDDs, and a recent structure called Context-Free-Language Ordered Binary Decision Diagrams (CFLOBDDs) -- and can be easily extended to support other symbolic data-structures.
Towards Model-Agnostic Federated Learning over Networks

We present a model-agnostic federated learning method for networks of heterogeneous data and models. The network structure reflects similarities between the (statistics of) local datasets and, in turn, their associated local("personal") models. Our method is an instance of empirical risk minimization, with the regularization term derived from the network structure of data. In particular, we require well-connected local models, forming clusters, to yield similar predictions on a common test set. The proposed method allows for a wide range of local models. The only restriction on these local models is that they allow for efficient implementation of regularized empirical risk minimization (training). For a wide range of models, such implementations are available in high-level programming libraries including scikit-learn, Keras or PyTorch.
Android-Based E-Module Design in Electric Motor Installation Lessons at SMK Negeri Agriculture, Serang City

his study aims to: (1) determine the process of designing Android-based E-Modules; and (2) knowing the feasibility of Android-Based E-Modules in helping class XI students understand the material for Electric Motor Installation at the Agriculture State Vocational School in Serang City. This research is a type of Research and Development research with reference to the Lee &amp; Owens model (2004). The subjects of this study included 3 lecturers, 3 teachers, and students of class XI in the Department of Electrical Power Installation Engineering, Agriculture State Vocational School, Serang City. Data collection methods in this study are tests and non-tests. Based on the results of the Android-Based E-Module trial that was developed it is suitable for use as teaching materials, where the acquisition of an overall average aspect score by media experts is 3.59 in the very good category, the average overall aspect score by material experts is 3.50 in the category very good and the overall average score of aspects by student responses to the E-Module is 3.78 in the very good category. Evaluation of students shows the results of the percentage of success of 83.15% which fall into the category of high success criteria. Keywords: design; e-module; and electric motor.
The Teaching of Writing in EFL Classes

Writing plays important roles in the context of English teaching as a foreign language in Indonesia. Writing is a communicative way of sharing observation, information, thoughts, or ideas with ourselves and others. Through writing, the language learners learn to communicate with other people, to understand them, to read what they have written, and to write to them. Writing as one of the language skills is not acquired naturally. Writing is considered the most difficult and complicated language skill to be learned compared to other language skills. Learning to write fluently and expressively is the most difficult of four language skills for all students. In the teaching of writing, the English teacher should pay attention on some elements, they are: (1) understanding the purposes of teaching writing, (2) teaching five main stages in producing a writing; pre-writing, drafting, revising, editing and publishing, (3) teaching how to develop a paragraph which consists of three major structural parts: a topic sentence, supporting sentences, and concluding sentence, (4) employing appropriate techniques, such as brainstorming, quetioning, and clustering in their teaching, and (5) introducing some text type to the students, such as: narration, description, procedure, news item, report, recount, anecdote, hortatory exposition, analytical exposition, commentary, discussion, and explanation.
Adaptive Hermite Spectral Methods in Unbounded Domains

Recently, new adaptive techniques were developed that greatly improved the efficiency of solving PDEs using spectral methods. These adaptive spectral techniques are especially suited for accurately solving problems in unbounded domains and require the monitoring and dynamic adjustment of three key tunable parameters: the scaling factor, the displacement of the basis functions, and the spectral expansion order. There have been few analyses of numerical methods for unbounded domain problems. Specifically, there is no analysis of adaptive spectral methods to provide insight into how to increase efficiency and accuracy through dynamical adjustment of parameters. In this paper, we perform the first numerical analysis of the adaptive spectral method using generalized Hermite functions in both one- and multi-dimensional problems. Our analysis reveals why adaptive spectral methods work well when a "frequency indicator" of the numerical solution is controlled. We then investigate how the implementation of the adaptive spectral methods affects numerical results, thereby providing guidelines for the proper tuning of parameters. Finally, we further improve performance by extending the adaptive methods to allow bidirectional basis function translation, and the prospect of carrying out similar numerical analysis to solving PDEs arising from realistic difficult-to-solve unbounded models with adaptive spectral methods is also briefly discussed.