Reviewerly/exHarmony huggingface dataset:
THE EFFECT OF USING FRINTZ’ BRAIN AND CROSSWORD PUZZLE ON VOCABULARY MASTERY FOR STUDENTS WHO HAVE DIFFERENCE LEARNING STYLE

The objective of this research is to investigate: (1) the different of students’ vocabulary mastery between those who were taught trough frintz’ brain and those who were taught through crossword puzzle, (2) the different of auditory and visual students’ vocabulary mastery, (3) the interaction between teaching methods and learning style with students vocabulary mastery, (4) which method is more effective to improve auditory students’ vocabulary mastery, and (5) which method is more effective to improve visual students’ vocabulary mastery.The research was conducted at SDN Kramatjati 27 Pagi which is located at Jl. Kerja Bakti No. 01 East Jakarta from March 2016 to June 2016. The writer took the third grade students as her research participant. There were two classes at that school. Therefore, the writer took two classes as her research with 30 students in the grade III A and 30 students in the grade IIIB. The method of the research was a quasi experiment. The data were analyzed by two-way ANOVA..Based on the results of the data analysis, there were five conclusions drawn: first, there is significant difference of students’ vocabulary mastery between those who were taught trough frinz’ brain and those who were taught trough crossword puzzle. It was supported by the p-value of methods is smaller than 0.05. Second, there is significant difference result between auditory and visual students’ on their vocabulary mastery. It was supported by p-value of learning style that is smaller than 0.05. Third, there is significant interaction between vocabulary methods and learning style on students’ vocabulary mastery. It is supported by the p-value of interaction which is smaller than 0.05. Fourth, frintz’ brain is better crossword puzzle for auditory students on their vocabulary mastery at the third grade students of Elementary School. It is supported by the mean of frintz’ brain in auditory 80.60 that is higher than the mean of crossword puzzle in auditory 75.53. Keywords: Vocabulary mastery, Frintz’brain, Crossword puzzle, Auditory and visual learning style.
Feature Selection Using Sparse Twin Support Vector Machine with Correntropy-Induced Loss

Twin support vector machine (TSVM) has been widely applied to classification problems. But TSVM is sensitive to outliers and is not efficient enough to realize feature selection. To overcome the shortcomings of TSVM, we propose a novel sparse twin support vector machine with the correntropy-induced loss (C-STSVM), which is inspired by the robustness of the correntropy-induced loss and the sparsity of the $$\ell _1$$ -norm regularization. The objective function of C-STSVM includes the correntropy-induced loss that replaces the hinge loss, and the $$\ell _1$$ -norm regularization that can make the decision model sparse to realize feature selection. Experiments on real-world datasets with label noise and noise features demonstrate the effectiveness of C-STSVM in classification accuracy and confirm the above conclusion further.
MODEL PEMBELAJARAN KOOPERATIF TIPE SCRAMBLE UNTUK PENINGKATAN MEMBACA TELITI SISWA SD KARTIKA 1 –10 PADANG

The ability to read thorough students of Kartika 1-10 Padang is considered adequate yet because one cause is learning methods that accepted students deemed appropriate because many still have not dominated by teachers. For it to be done so that modifications to the excitement of students in learning can occur and the motivation to read will be terjadi. The purpose of this study is to describe about the application of pembelajaraan cooperative-type scramble for increased read thorough students of Kartika 1-10 field. The theory used by reading ini teori dalam penelitian Tarigan (2008), Rahim (2011), Ermanto and Emidar (2012), Gusnetti (2014), and the method of pembelajaran inovatif by Nur (2007) and Istarani (2012), as well as research SUPPORT by Sudjana (2012). The results showed that the ability of the student prabaca happened penimgkatan 20 ri 56 be 76 at cycle 1 as well as on post read occurred increased 16% from 72 into 88 cycles 2. Thus, the learning model cooperative type of scramble can enhance the ability of ELEMENTARY students read Kartika 1-10 Padang.Keywords: reading skills, screamble
How are you?: Introducing stress-based text tailoring

Can stress affect not only your life but also how you read and interpret a text? Healthcare has shown evidence of such dynamics and in this short paper we discuss customising texts based on user stress level, as it could represent a critical factor when it comes to user engagement and behavioural change. We first show a real-world example in which user behaviour is influenced by stress, then, after discussing which tools can be employed to assess and measure it, we propose an initial method for tailoring the document by exploiting complexity reduction and affect enforcement. The result is a short and encouraging text which requires less commitment to be read and understood. We believe this work in progress can raise some interesting questions on a topic that is often overlooked in NLG.
WEBSITE USABILITY TESTING ON THE INFORMATION AND COORDINATION CENTER OF COVID-19 IN WEST JAVA USING THE SYSTEM USABILITY SCALE

Indonesia is one of the countries affected by the COVID-19 outbreak. Positive confirmed patients in Indonesia are increasing every day. The people became restless and worried because of this outbreak. Website becomes one of the media used in conveying information on the spread of COVID-19. However, the website has several weaknesses in its use such as, appearance that is too complicated, writing that is not clearly readable, there is no data update in real time, and unusual menu choices. The official website established by the West Java government in tackling the spread of COVID-19 is pikobar.jabarprov.go.id or known as The Information and Coordination Center of COVID-19 website in West Java Province (PIKOBAR). To minimize the weaknesses and the level of website usability that occurs, the PIKOBAR website needs evaluation and update. The evaluation carried out aims to make the website run well, so that it can provide up-to-date and real-time information to the public. In this study the evaluation of the PIKOBAR website is done by measuring and testing the appearance of usability using the System Usability Scale (SUS) instrument. The results showed that the SUS score obtained was 70.7 which was included in the acceptable, grade C and good categories. This means that the PIKOBAR website has good usability value and is feasible to be accessed and accepted by Users (Visitors).
LibGuides: Campus Study Spaces: One Button Studio - Meehan Hall

Find places to study or to take a class remotely in one of the many spaces available on campus.
A comparative study of social bot classification techniques

With social media rising in popularity over the recent years, new so called social bots are infiltrating by spamming and manipulating people all over the world. Many different methods have been pre ...
Pixeldust Studios Reptopia Magic Leap Experience

Battle for Survival: Reptopia is an immersive augmented reality experience using the Magic Leap One device developed by Pixeldust Studios at Pixeldust Labs. Pixeldust Studios put together this pilot project for Mandai park development and the Singapore Zoo. This pilot ‘Battle for Survival: Reptopia’ experience was specifically designed to appeal to two key personas at the Zoo: The Indulgent Parent and The Educator. This Magic Leap experience deploys critical components of the magic leap experience and API like spatial 3d environments, spatial 3d audio, controller touch and trigger and head tracking. For purposes of a public experience, we deployed basic dependable and efficient features only, that would be user friendly and easy to adopt quickly for even a novice user of the headset.
Modified dual-frequency geometric constraint fringe projection for 3D shape measurement

Dual-frequency fringe projection methods have been widely used in three-dimensional (3D) shape measurement, but the phase unwrapping is very sensitive to random noises. A modified dual-frequency geometric constraint fringe was presented. The robustness of phase unwrapping can be effectively enhanced by improving the frequency of low-frequency phase. During the 3D shape measurement, firstly, the five-step phase-shifting algorithm was used to extract two wrapped phases. Secondly, the low-frequency phase was unwrapped based on the geometric constraint method. Finally, the dual-frequency algorithm was used to unwrap the high-frequency phase, and then the 3D shape could be reconstructed. Both simulations and experiments demonstrate that the modified dual-frequency fringe is more robust and applicable than the traditional one.
Digital re-innovation - technovation for learning

Keynote presentation at Keele University Digital Festival where I was invited to talk about digital innovation in learning and teaching.
Characterizing the long-period seismicity of Teide volcano in Tenerife (Canary Islands, Spain)

&amp;lt;p&amp;gt;The volcanic long-period seismicity, composed of long-period events and volcanic tremors, constitutes an important attribute of volcanic unrest. Its detection and characterization is therefore a key aspect of volcano monitoring. In the present work, a method based on the seismic network covariance matrix, the equivalent in the frequency domain of the cross-correlation matrix, is used to automatically detect and locate long-period events of the Teide volcano on the island of Tenerife (Canary Islands, Spain). The method is based on the analysis of eigenvalues and eigenvectors of the network covariance matrix.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Long-period events are detected through the time evolution of the width of the network covariance matrix eigenvalues distribution, which is a proxy of the number of sources acting in the wavefield. Each detected long-period event is then located using the moveout information of the corresponding first eigenvector. Three years of seismic data (from 2017 to 2019) continuously recorded by the Red S&amp;amp;#237;smica Canaria (C7), a permanent monitoring network composed of 17 broadband stations operated by the Instituto Volcanol&amp;amp;#243;gico de Canarias (INVOLCAN), are analysed. The obtained locations are compared with potential locations from INVOLCAN&amp;amp;#8217;s catalog, obtained by a standard approach based on manual phases picking.&amp;lt;/p&amp;gt;
Utilization of OCR and text feature extraction to create a database of labour complaints

The examination of complaints of labor violations is part of the main activity of the labor inspection section within the Department of Manpower. Monitors will examine companies that are considered to have violated labor laws based on a letter of complaint sent by the relevant union organization or legal aid agency. The easy way to communicate at this time, making the submission of complaint letters can be directly sent in the form of images through electronic media such as whatsapp or email. This makes it difficult for administrative staff to recapitulate incoming complaints because they have to read and enter data manually into the system. Therefore, this research was conducted to create a system that utilizes OCR technology and text feature extraction to be able to input complaints data automatically. This research resulted in a prototype of letter input and a database of letter storage that can be further utilized for Data Mining and Business Intelligent. OCR implementation is done by using the Tesseract library while the text feature selection utilizes the Natural Language Toolkit (NLTK) library. The results of testing of the prototype showed an accuracy of 66.7% of the OCR results and 91.67% of the manually typed letters.&#x0D;
Stages of Monitoring the Process of Managing the Creation of An Online Course

Management in education is one of the main tools that allow the rational use of various resources in order to achieve the objectives and improve work efficiency. The article shows the opportunities provided by management for the implementation of educational processes. The purpose of the work is to identify the need of using a checklist for placing an open online course on electronic educational platforms. Research methods: analysis of scientific literature, periodicals, publications on the topic of research, analysis of developed online courses and requirements for them. It has been revealed that the current level of development of information technology opens up opportunities for training for absolutely every person, regardless of age and health. The article discloses in detail one of the ways to realize this possibility - training using open online courses, analyzes the features of various educational platforms designed to host online courses. To place an open online course on any platform, it requires careful development. The need for using a checklist in the development and creation of an online course as a mandatory tool for monitoring by the developer has been identified, since a checklist is a predefined list of tasks or actions that are used as instructions. The article describes the need and advantages of using a checklist and presents one of the options for the checklist of the course “Concepts of modern science.” An approximate algorithm for launching an online course by means of a developed checklist is presented. The necessary components of the document are determined, and the example of filling each component of the course “Concepts of modern science” is given in the paper. The checklist can be changed in accordance with the requirements for the development of a particular course, the features of the placement platform and the learning audience. The paper shows what opportunities are open for the course developer using a checklist.
A General Parsing Algorithm with Context Matching for Context-Sensitive Graph Grammars

Context-sensitive graph grammars have been intuitiveand rigorous formalisms for specifying visual programming languages, as they are sufficient expressive and equipped with parsing mechanisms.Parsing has been a fundamental issue in the research of context-sensitive graph grammars.However, the existent parsing algorithms are either inefficient or confined to a minority of graph grammars.This paper proposes a general parsing algorithm with two embedded strategies, one is context matching, and the other is production set partitioning.The two strategies can greatly narrow down the search space of redexes and thus considerably improve the parsing performance, even though the worst-case time complexity is not theoretically reduced.Moreover, a case study along with detailed analysis is provided to demonstrate the paring process and parsing performance of the proposed algorithm.
A study to the cold start problem based on click stream data in the recommender system.

Recommender systems have to deal with cold start problems as new users and new items are always present, where systems are unable to recommend relevant items to the users due to the unavailability of adequate information about them. In literature, many researchers have addressed this problem by collecting missing information, but their approaches differ in the way they collect missing information. This paper tries to propose a concept to solve the cold start problem by combing collaborative filtering, demographic approach, and click steam visit count.
An seL4-based architecture for layered attestation

When computer systems communicate sensitive information, it is often desirable, if not imperative, that one party know certain properties about the other. This may be as simple as confirming the external party's identity, e.g. by checking a signature against a known public key, as is ubiquitous among internet protocols. Alternatively, one party may demand stronger guarantees before engaging in sensitive communication. For example, it may wish to know that the target system is reasonably secure. The target could respond to such a request with evidence that it is running trusted anti-malware software and routinely scanning for threats. Perhaps this evidence is sufficient in the current context, or perhaps the other party demands deeper evidence, such as a glimpse into a portion of the current kernel memory, as in to detect an evasive rootkit.
AN INVESTIGATION THE RELATIONSHIP BETWEEN ORGANIZATIONAL CULTURE AND EXTERNAL CUSTOMER SATISFACTION ORIENTATION (An Empirical Study of four stars hotels in Tripoli- Libya)

Purpose — This research was conducted to study the effect of information sharing and information quality toward supply chain integration and farmer business performance. Design/methodology/approach — The type of this research is quantitative explanatory research. The data used in this study are primary data obtained by questionnaire. The sampling method uses multistage proportional random sampling, sample obtained amount 200 farmers. Data analysis in this study uses path analysis method with SPSS 23. Findings — The results of this research indicate that the quality of information is not significant to the integration of supply chain and farmer business performance. Information sharing has a positive and significant effect toward supply chain integration and farmer business performance, supply chain integration has a positive and significant effect toward farmer business performance. Practical Implications — Increasing global business competition and efforts to shorten product life cycles are the two main factors that encourage businesses to change their focus from competitive competition to mutually beneficial relationships and cooperation to improve business performance. Originality/value — The main objective of supply chain activities for business activities is a crucial element because with these activities the goods produced can reach the end consumers.
Pengembangan Lembar Kegiatan Peserta Didik (LKPD) Berbasis Pendekatan Saintifik Pada Mata Pelajaran Humas dan Keprotokolan XI OTKP2 SMKN 1 Jombang

Research on the development of textbooks of correspondence subject in the even semester class XI regarding office management automation program at SMKN 1 Jombang aims to study the process of developing textbooks, discuss the feasibility of books, students for textbooks developed by researchers and being studied by, existing textbooks at SMK 1 Jombang, and which have been developed by researchers. This research is a Research and Development (R&amp;D) study with a development model from Borg and Gall that is approved up to 7 stages: potential and problems, combining data, product design, design validation, design revision, product testing, product revision/final product. The subject of the study is a comparison of 20 students of X class majoring in the office administration education study program at SMKN 1 Jombang. The results show the feasibility of textbooks by material experts obtained a percentage of 94,4% with very strong criteria, by linguists obtained a percentage of 91,4% with very strong criteria, and by graphic experts obtained a percentage of 84.8% with very strong criteria. From the overall results of expert validation obtained a percentage of 90,2% with very strong criteria. While the results of evaluations of students conducted through limited trials obtained an average of 81% with very strong criteria. So it can be concluded that textbooks of correspondence subject on the even semester developed are declared to be very suitable to be used as teaching materials at SMKN 1 Jombang.
Curriculum Reform and Construction of Financial Engineering under the Background of Financial Technology

With technological innovations such as big data, cloud computing, artificial intelligence, and blockchain, it has been fully applied to payment and settlement, loan financing, wealth management, retail banking, insurance, transaction settlement, etc. In the big financial field, the integration of finance and technology is becoming a new trend in the future development of the financial industry. In the current development of financial technology, the training of financial engineering professionals is also facing many opportunities and challenges. The financial engineering major of our school started late. Although many achievements have been made, there are still some shortcomings. Especially with the development of financial technology, the original curriculum system needs to be adjusted and improved in time, so this article will proceed discuss the reform and construction of financial engineering courses.
Hubungan Media Sosial Instagram The Jakarta Post dengan Minat Belajar Bahasa Inggris

Abstract. Instagram is often a reference for someone to learn about new things, especially learning an international language, English. This developed seeing the weaknesses of learning English from paid music and films and in the past when learning it was identical to carrying a textbook or dictionary that was so thick that it seemed not interactive with the reader. Bearing this in mind, this research aims to find the correlation of social media Instagram The Jakarta Post with interest in learning English. The method used is correlational research with a quantitative approach, a population of 51 peoples from TBI (The British Institute) Bandung students, and using a non-probability sampling. The results obtained, first: the value of variable X is included in the agree category, second: the value of variable Y is included in agree category, third: from the calculation results using analysis simple regression obtained a positive correlation value, fourth: the variable X contributes to the variable Y in TBI (The British Institute) Bandung by 6.4%, while 93.6% is explained by the variable others outside the model. For this reason, Instagram The Jakarta Post can be a medium for learning English that is suitable for use in today's technology era, apart from providing information using English, anyone can learn for free, anytime and anywhere. Keywords: Social Media, Instagram, Interest in Learning English, English language
Characterization of quantum states and detectors

Characterization of quantum states and detectors is a key task in rapidly emerging optical quantum science and technology. First, we introduce and experimentally demonstrate a noise-robust quantum state characterization protocol using photon-number-resolving (PNR) measurements. Unlike conventional continuous variable state tomography methods, our method utilizes computationally efficient semi-definite programming (SDP) and can be used to accurately reconstruct the state even after loss a known loss. The protocol is demonstrated for a weak coherent state as well as a single-photon Fock state. Next, we propose a method for characterizing a photodetector by directly reconstructing the Wigner functions of the detector’s Positive-Operator-Value-Measure (POVM) elements via weak-field homodyne technique. We also report our experimental progress on characterizing a superconducting transition-edge sensor for PNR measurements.