Reviewerly/exHarmony huggingface dataset:
Development of a Mobile Application to Support the Learning Process of Geometry

The importance of mathematics in regular basic educational training is very important, fundamentally for the intellectual development of students. Peru, in the last evaluations carried out by the Programme for International Student Assessment (PISA), has been occupying the last places in Latin America, also according to the Census Evaluation of Students (ECE), in charge of the Ministry of Education of Peru, a low performance in that area. Reason why this article presents a proposal for the design and construction of a mobile application with augmented reality (RA) to support the learning process of mathematics in the area of geometry, in this way teachers will have a tool that It can help them improve the teaching-learning process, and students will have new ways of learning through this playful, intuitive, simple and attractive application.
The Derivational and Compounding Process in William Shakespeare’s Literary Works

One importance of studying morphology in literary work is increase the vocabulary. Perhaps the biggest contributions to the English language of Shakespeare may be the addition of new words and phrases that have transformed the language and make it more vivid and descriptive. Shakespeare also changing nouns into verbs, verbs into adjectives, connecting words never used together, adding affixes, and devising words wholly original. This study aims to know how the words are formed through derivational and compounding process. In this paper, we take the data from some of William Shakespeare’s works. We use qualitative method by using morphological approach to analyze the data. Morphological approach focused on the identification and interpretation of the meaning of the words and the analysis of the morphemes attached to the words. We collect the data by downloading 11 of William Shakespeare's works, reading the words, selecting the data, and summarizing the data. Then, it’s followed by describing and determining the function of the morphemes and analyzing the change of the word class as techniques of analyzing the data. The result of this study shows that for derivational process, affix {-ish }, {-y }, {-less }, {-ate }, {-eous }, {fore- }, {pur- }, {fore- }, {-y }, and {un- } as adjectivalizer, affix {-ify }, {en- }, {un- }, and {fore- } as verbalizer, and affix {-er }, {-y }, and {-ment }, as nominalizer. For compounding process, we found there are two types of compound word : hyphenated compound and closed compound.
Positivisme dan Paradigma Struktural-Fungsional dalam Linguistik Sistemik Fungsional

Systemic Functional Linguistics (SFL) is one of the most influential schools in linguistics in the world today. As a theoretical concept, SFL departs from a philosophical foundation and a particular scientific paradigm. This paper seeks to trace the philosophical foundation of the SFL by comparing it with structuralism and formal linguistics. It also determines the positivism tracks in SFL and how the structural-functional paradigm that has also grown in social sciences manifests in the underlying assumptions and the research methods in SFL.
MOODLE FOR ENGLISH LEARNERS: A COURSE DESIGN FOR INDONESIAN JUNIOR HIGH SCHOOL STUDENTS IN TANGERANG

&lt;p&gt;The internet advance technology allows an answer to the needs above. Young people are familiar with electronic devices, e.g., smartphone, tablet, iPad and computers as their part of daily activities. At this moment the writer proposes how the limited time and space of learning condition can be facilitated by accessing the anytime-anywhere interactive class even when presenting on a small smartphone. In a traditional classroom, the teacher is the primary source of information, and students are required to be in the same place at the same time engaging in the same activity. Making use of technology using smartphones as learning device has created an alternative to traditional classroom interface into a limitless time and space. It also changes the role of the teacher from being the primary source of information to facilitator and supervisor, and it allows the teacher to pay equal attention to every student. In addition to that, technology gives the students a new opportunity to access instructional materials at different times from different locations. Therefore, it is necessary to as the essential question: What can the applications of the designed material, as the designated teaching medium for Budi Luhur Junior High school students who were preparing for their involvement in the IYSF (International Youth Study Forum) Program.&lt;/p&gt;
A Facial Expression Recognition Method Using Two-Stream Convolutional Networks in Natural Scenes

Aiming at the problem that complex external variables in natural scenes have a greater impact on facial expression recognition results, a facial expression recognition method based on two-stream convolutional neural network is proposed. The model introduces exponentially enhanced shared input weights before each level of convolution input, and uses soft attention mechanism modules on the space-time features of the combination of static and dynamic streams. This enables the network to autonomously find areas that are more relevant to the expression category and pay more attention to these areas. Through these means, the information of irrelevant interference areas is suppressed. In order to solve the problem of poor local robustness caused by lighting and expression changes, this paper also performs lighting preprocessing with the lighting preprocessing chain algorithm to eliminate most of the lighting effects. Experimental results on AFEW6.0 and Multi-PIE datasets show that the recognition rates of this method are 95.05% and 61.40%, respectively, which are better than other comparison methods.
New Engineering Construction and Development of Electronic Information Specialty under the Concept of Obe

In the construction of new engineering, the word “new” takes the lead and the emphasis is on “construction”. From “Fudan consensus” to “Tianda action” and then to “Beijing Declaration”, the educational circles have reached a general consensus on the understanding of the word “new”. They think that the meaning of the word “new” is two points, namely “informatization” and “intelligence”. As a national key university with its own characteristics, how to construct the major of electronic information engineering in the era of new economy? The new engineering construction gives the answer, which is to face the new economy and new industry, integrate “informatization” and “intelligence” into the traditional electronic information engineering specialty, and combine with the forestry industry to highlight the characteristics. Therefore, this subject focuses on the new requirements for the cultivation of electronic information engineering talents in the new economy, and focuses on the construction of the curriculum system and teaching content with the characteristics of the university to adapt to the new economy. We will promote the interdisciplinary construction, transformation and upgrading of traditional electronic information engineering, and meet the needs of emerging industries and new economic development for composite talents of electronic information engineering.
BLENDED LEARNING BERBASIS QUIPPER SCHOOL DALAM PEMBELAJARAN BAHASA INDONESIA DI SMAN 1 BANTAENG

This study aims to describe the application of Quipper School-based blended learning to the process and learning outcomes of class XI IPA1 students in Indonesian language learning at SMA Negeri 1 Bantaeng. This research is a classroom action research. Data collection techniques, namely observation, documentation, and tests. The research method is qualitative descriptive analysis. The results of the action and process carried out showed that the attention of students in the first cycle was 63.43% and increased in the second cycle by 93.90%. Furthermore, student learning outcomes in the first cycle an average of 71 with a percentage of 67.74% completeness and an increase in the second cycle to 95 with completeness reaching 100%. The application of Quipper School-based blended learning can improve the process, independence, effectiveness, creativity and student learning outcomes in learning Indonesian in class XI IPA1 SMA Negeri 1 Bantaeng.
LibGuides: Optical Character Recognition (OCR) @ Pitt: Example Projects

This LibGuide introduces users to optical character recognition (OCR), outlines OCR best practices, provides information and resources for OCR tools, and links to example OCR projects.
The Difficulties Faced by Foreigners in Learning Indonesian at Puri Bahasa Indonesia

Many foreigners are working in Indonesia, leading to many of them learning Indonesian to facilitate their workplace communication. Puri Bahasa Indonesian language course in Yogyakarta provides customized, unique approaches in teaching Indonesian language to foreigners by combining theories and practices. The aim of this research is discussing the types of difficulties faced by foreign learners in learning Indonesian at Puri Bahasa Indonesia. Literature study and field study were conducted in collecting the data. Direct observations and interviews were also conducted to confirm the data and information collected about the difficulties faced by foreign learners in learning Indonesian language at Puri Bahasa Indonesia. The results of the study showed foreign learners face difficulties such as memorizing, pronouncing Indonesian vocabulary and understanding the usage of prefix and suffix in Indonesian.
Research on Collaborative Filtering Recommendation Based on Trust Relationship and Rating Trust

In the Internet age, how to dig out useful information from massive data has become a research hotspot. The emergence of recommendation algorithms effectively solves the problem of information overload, but traditional recommendation algorithms face problems such as data sparseness, cold start, and low accuracy. Later social recommendation algorithms usually only use a single social trust information for recommendation, and the integration of multiple trust relationships lacks an efficient model, which greatly affects the accuracy and reliability of recommendation. This paper proposes a trust-based approach. Recommended algorithm. First, use social trust data to calculate user trust relationships, including user local trust and user global trust. Further based on the scoring data, an implicit trust relationship is calculated, called rating trust, which includes scoring local trust and scoring global trust. Then set the recommendation weight, build the preference relationship between users through user trust and rating trust, and form a comprehensive trust relationship. The trust relationship of social networks is integrated into the probability matrix decomposition model to form an efficient and unified trusted recommendation model TR-PMF. This algorithm is compared with related algorithms on the Ciao and FilmTrust datasets, and the results prove that our method is competitive with other recommendation algorithms.
Recognition of human actions based on deep convolutional neural networks using postures and depth maps

In this survey paper, we have gathered information about various existing technologies in the area of Human Action Recognition Using Convolutional Neural Network withHuman Postures and Depth Maps.
LibGuides: Using JSTOR Essential: Getting Research Help

The Merced College Library now subscribes to JSTOR Essential, a version of JSTOR which provides access to content from over 680 journals in the humanities and social sciences.
BLiMP: The Benchmark of Linguistic Minimal Pairs for English

We introduce The Benchmark of Linguistic Minimal Pairs (BLiMP), a challenge set for evaluating the linguistic knowledge of language models (LMs) on major grammatical phenomena in English. BLiMP consists of 67 individual datasets, each containing 1,000 minimal pairs, i.e. pairs of minimally different sentences that contrast in grammatical acceptability and isolate specific phenomenon in syntax, morphology, or semantics. We generate the data according to linguist-crafted grammar templates, and human aggregate agreement with the labels is 96.4%. We evaluate n-gram, LSTM, and Transformer (GPT-2 and TransformerXL) LMs by observing whether they assign a higher probability to the acceptable sentence in each minimal pair. We find that state-of-the-art models identify morphological contrasts related to agreement reliably, but they struggle with some subtle semantic and syntactic phenomena, such as negative polarity items and extraction islands.
Improvement of efficiency of further vocational education under the pandemic conditions

This work is aimed at detection of factors promoting improvement of efficient teacher-audience interaction upon distance learning. This work discusses such issues as efficiency of presentation and absorption of material in the taught disciplines, characteristics of organization conditions of audience work. The attention is paid to advantages and disadvantages of distance learning for programs of vocational retraining. This article also analyzes the necessity to upgrade engineering and methodological support of education, which agrees with the trends of progress in implementation of University 4.0 model. The research was based on sociological surveying, which provided sufficiently complete pattern of attitudes of students in vocational retraining programs to distance learning during the pandemic. On the basis of this research, it has been concluded that most students positively assessed the distance learning platforms provided by the university. At the same time, it is sufficiently difficult to concentrate attention during 1.5 hours, which forced the teacher to search for mixed forms of education, alternating practical assignments or video clips with theoretical material. It has been concluded that the distance learning is an efficient measure of protection against coronavirus, though, under usual conditions, the students prefer resident course.
Stationary Wavelet with Double Generalised Rayleigh Distribution

Statistics are mathematical tools applying scientific investigations, such as engineering and medical and biological analyses. However, statistical methods are often improved. Nowadays, statisticians try to find an accurate way to solve a problem. One of these problems is estimation parameters, which can be expressed as an inverse problem when independent variables are highly correlated. This paper’s significant goal is to interpret the parameter estimates of double generalized Rayleigh distribution in a regression model using a wavelet basis. It is difficult to use the standard version of the regression methods in practical terms, which is obtained using the likelihood. Since a noise level usually makes the result of estimation unstable, multicollinearity leads to various estimates. This kind of problem estimates that features of the truth are complicated. So it is reasonable to use a mixed method that combines a fully Bayesian approach and a wavelet basis. The usual rule for wavelet approaches is to choose a wavelet basis, where it helps to compute the wavelet coefficients, and then, these coefficients are used to remove Gaussian noise. Recovering data is typically calculated by inverting the wavelet coefficients. Some wavelet bases have been considered, which provide a shift-invariant wavelet transform, simultaneously providing improvements in smoothness, in recovering, and in squared-error performance. The proposed method uses combining a penalized maximum likelihood approach, a penalty term, and wavelet tools. In this paper, real data are involved and modeled using double generalized Rayleigh distributions, as they are used to estimate the wavelet coefficients of the sample using numerical tools. In practical applications, wavelet approaches are recommended. They reduce noise levels. This process may be useful since the noise level is often corrupted in real data, as a significant cause of most numerical estimation problems. A simulation investigation is studied using the MCMC tool to estimate the underlying features as an essential task statistics.
Search Relevance Regression Testing using Search Test Framework

Search relevance regression testing is the process by which search quality is monitored and improved by comparing search results over time, and in particular before and after releases. It helps us to evaluate whether recent changes to the environment, content, application and search algorithms have adversely impacted the results delivered by the search engine in any way, and to take action accordingly. It provides feedback on relevance and allows us to monitor trends and impacts of algorithm changes. This work explores the use of an integrated search testing and instrumentation tool to track regression over time and to highlight changes.
CATALYST AND TRANSPARENCY; AN ANALYSIS OF THE CAMPUS PAPER FUNCTION AS A WATCHDOG

This study was entitled Catalyst and Transparency; An analysis of the Campus Paper Function as a Watchdog. The study reveals that the publication is inconsistently complying with all standards of journalism because of some major problems like the fear of being personal attacks, lack of funds, and beginner in the field of campus journalism. However, this reveals the improvement of the publication in excelling from the various competitions and also in the releases. Campus publication is realized as citizens’ journalism outside, this plays a vital role in shaping the discipline and awareness need of the students. Ethics and standards of journalism should be part of the training and learning of every students’ journalist. This research study was conducted to analyze the efficiency of the CLSU Collegian in terms of practicing the standards of journalism. This also reviewed the status of the publication in the present situation and the continuation of listing the important accounts of the publication from the year 2011-2015. It also examines the engagement of the staffers of the CLSU Collegian in the elements of journalism, knows the workings of the press. The problems they encountered and solutions they made in practicing the elements of journalism. Key informant interview, focus group discussion, archival research, and library research are the major methods that the researcher do, to validate the data that are being collected the study adapted the triangulation process.
IMPROVING STUDENTS VOCABULARY THROUGH BBC’S VIDEO IN INSTAGRAM AT JUNIOR HIGH SCHOOL

Vocabulary is a linguistics ellement of language skills. The purpose of this research is to describe the role of BBC’s Video in Instagram for improving students’ mastery on vocabulary. This research is a class room action research based on the theory of Kemmis and McTaggart (1988). The researcher used three times of classroom action cycle to achieve the goal. The population of this research is students at SMP Negeri 3 Medan and the sample is students at grade seven-two. The data of this classroom action research is score from each cycle. The result of this research shows us that BBC’s Video in instagram as a media of teaching English is able to improve students’ mastery on vocabulary. It can be seen in the first cycle their average score is 60.1, in the second cycle is 72.3 and the last cycle is 85.1. This result shows us that video in instagram is a good instrument to improve the students’ mastery in vocabulary. It is suggested to other English teacher to make this media as an alternative media as far as the teaching method is supported to use.
The Role of Technology for Activating the use Forensic Accounting in Financial Fraud Detection

The objective of this research is to investigate the limitations facing the use of IT in forensic accounting and the role of IT in activating the forensic accounting in discovering the financial fraud. To reach the objective of this research, questionnaire was used as a tool for data collection. The questionnaire composed of three parts. The first part designed to collect data about the demographic characteristics, while the second part designed to collect information about the limitations of using IT in forensic accounting, and the third part was designed to collect information about the role of IT in activating the forensic accounting and discovering financial fraud. The population was the auditors in public and private sectors. Simple random sample was selected of both sectors. The collected data was analyzed using SPSS. The results of this research have shown that the cost of IT infrastructure, the lack of training and the high cost of IT providers will affect the use of IT in forensic accounting. The results showed that IT will activate the role of forensic accounting in discovering financial fraud.
Artificial Intelligence Based Method to Improve Tourism with the Help of Android Studio

Artificial intelligence is a new technology in the field of computer science and information technology. Artificial intelligence techniques are very useful and also applied in many businesses. There are many research areas and opportunities in the field of Artificial intelligence. Artificial intelligence refers to the simulation of human intelligence in machines. Artificial intelligence allows app developers to achieve better mobile application experiences and also helps to improve personalized selections for users. This paper explores the different areas of the artificial intelligence-based system in tourism. This paper presents important future research directions.
Machine Learning Techniques & Internet of Things Security Issues

IOT define as Internet of Things where several devices are connected with internet through many technologies and make impossible things possible and gives impact on human lifestyles, IOT work on various types of sensors, layers and algorithm which helps to maintain security and perform well. IOT has become a basic part of today’s industrial, agriculture, healthcare, smart city, studies and in manufacturing, transportation rising and with that it include many security on which applications works. In this paper, first section introduction of IOT explained and show how devices connected with IOT platforms, small introduction on devices used for communication purpose. In second section, various security issue, attack was discussed and explained the security requirement which based on many security attack layers like physical, network, software and encryption attack and how to solve them. Third paper, describe how machine learning provide better security in IOT devices with different techniques to improve security issue and attack.
EFEKTIFITAS LITERATUR PILIHAN SISWA DAN GURU DALAM MEMBACA TEKS NARATIF PADA SISWA DENGAN MOTIVASI TINGGI DAN RENDAH

The research was aimed to find out the effectiveness of students’ and teacher’s selected literature in reading narrative text. The students were classified into two categories which were students with higher and lower motivation based on the questionnaire. The method of this research was experimental using 2x2 factorial design in the form of pre and post test. In the process of collecting the data, the pre test was given before the treatment while post test was given after the treatment. T-test and ANOVA was used after the data was collected. The result of the research showed that the use of students’ selected literatures and teacher’s selected literatures were quite effective for both experimental and control class. Based on the research finding, it was reported that students’ selected literature was more effective to the students with higher and lower motivation in reading narrative text.