Reviewerly/exHarmony huggingface dataset:
APLIKASI “HOME CHAT” PADA APLIKASI “INTERNET OF THINGS SMARTHOME” SEBAGAI KOMUNIKASI PERALATAN ELEKTRONIK RUMAH TANGGA DENGAN MANUSIA

The development of Internet-of-Thing (IoT) -based technology applied to the housing sector is implemented with the existence of smarthome. Various types of smarthome applications offered by producers, one of them is homechat. This application allows communication of household electronic devices to communicate with humans by using text message media on the smartphone.
Desain Majalah Penunjang Promosi Dan Informasi Pada SMK Karya Bangsa Kota Tangerang

The development of information technology is very advanced. Information Plays an important role, with information makes it easir for people to find information they want, information can be obtained through print and electronic media, especially print media shaped magazine design in this case the SMK Karya Bangsa The City Of Tangerang very requires media magazines to easily load the entire information. Therefore the author made a magazine media at the SMK Karya Bangsa The City Of Tangerang so that the information easily known and the promotion system becomes more effective and creative is expected to be improve the image and improve marketing at school. Methodology used in this study include problem analysis methods, methods data collection, design analysis methods and design concept methods include : media planning, message planning and visual planing. In order to produce a design the good media for this magazine is using design support software like Adobe Photoshop CS5 and Adobe InDesign CS5, therefore the authors do the design mgazine media summarized in this chapter with the title “ DESIGN VISUAL COMUNICATION MEDIA FROM OF MAGAZINE DESIGN AS SUPPORTING PROMOTION AND INFORMATION ON SMK KARYA BANGSA THE CITY OF TANGERANG”.
Necesidad del enfoque humanista en la educación del futuro

Education forms science and technology, intervening in an adjacent way the term being, person and man; The application of Tics has distorted these terms by the transition of the personality acquired through them; Originating the need for affectation in conscience and social reality. The binomial of learning must generate and support the culture to generate behavior, structuring the philosophical with the theoretical-practical by emanating the integral harmonious development of the man. Soft skills have been limited by tics, it creates a nexus that retakes a human pedagogy that considers emotions, capacity development and expansion of creativity, things relegated by the apps. Nowadays, the human being tends to hostile behaviors, losing the interrelation and emotiveness, giving rise to the influx of emotional intelligence; However, these perceptions are conditioned by contexts in technological networks, affecting subconscious, counteracting it with practices of Sugestopedia. Therefore, the new age in technology links a motivational deficit that deserves reinforcement of personality. ICTs are not above knowledge, hence the generation of best practicesthat consider a distributed cognition through constructivist learning, since social relations become increasingly complex, with influence and dependence Continuous, losing identity, value, affection and therefore direct involvement of the cognitive-emotional field. Thus, the high dynamism of modern life entails increasing requirements of quality of training, originating the reinforced transhumanism of interpersonal relations, as acondition of develop-ment of the student in this educational trajectory.
Dual Learning: Theoretical Study and an Algorithmic Extension

Dual learning has been successfully applied in many machine learning applications including machine translation, image-to-image transformation, etc. The high-level idea of dual learning is very intuitive: if we map an $x$ from one domain to another and then map it back, we should recover the original $x$. Although its effectiveness has been empirically verified, theoretical understanding of dual learning is still very limited. In this paper, we aim at understanding why and when dual learning works. Based on our theoretical analysis, we further extend dual learning by introducing more related mappings and propose multi-step dual learning, in which we leverage feedback signals from additional domains to improve the qualities of the mappings. We prove that multi-step dual learn-ing can boost the performance of standard dual learning under mild conditions. Experiments on WMT 14 English$\leftrightarrow$German and MultiUNEnglish$\leftrightarrow$French translations verify our theoretical findings on dual learning, and the results on the translations among English, French, and Spanish of MultiUN demonstrate the effectiveness of multi-step dual learning.
MOBILE LEARNING FOR ENGLISH LANGUAGE LEARNING: BENEFITS AND CHALLENGES

This study aims to identify the benefits of mobile learning in the English Language from the perception of learners and teachers in the Departments of English within the Colleges of Education of three Sudanese Government Universities. It also aims to investigate the teachers' attitudes regarding using mobiles in English language learning. The case study was used and mixed methods were applied to collect both quantitative and qualitative data, a questionnaire was used to gain the participants responses. The questionnaire was conducted with 90 English language learners while nine staff members were interviewed. The Statistical Package for the Social Science (SPSS) was used to analysis the acquired data. The results of the analysis revealed the following finding: 1) Regarding the benefit of using a mobile phone for learning English language, the results confirm strongly that using a mobile phone has several benefits for learners, among them it is very effective in learning English language, second it is an assistive tool for creativity, in addition to that it enables students to learn English inside and outside the classroom, furthermore, it will make students more productive to finish their lessons, achieve their assignment and join their colleagues in sharing knowledge and experience. 1) Concerning the teachers' perceptions regarding mobile learning adoption in their teaching process, the interviews revealed that, the teachers have positive attitudes towards mobile learning adoption. 2) The teachers explored that there are various barriers hinder the use of a mobile device in learning the English language, and these barriers affect negatively on the use of a mobile device as a learning tool. This study implication' is that the mobile is assistive tool for language learning and it needs to be considered in educational field particular the curriculum design and material development. Article visualizations:
Development and Evaluation of Digital ID card as a Portfolio Portal

Physical ID card has been use throughout history and are still widely use today. However, suchphysical characteristic leads to three drawbacks. First, it is not environmentally friendly due to printed materials. Second, Physical ID card requires the need for management and physical storage, prone to damage and lost. Third, information inside a physical ID card limited and cannot be updated. This paper proposes the use of digital ID card in the form of a mobile application as a substitute to physical ID card. A survey is conducted to evaluate the use of these digital ID card. It is then concluded that digital ID card can counter the downside of physical ID card and even provides features to enhance its role such as being a portal for information.&#x0D; Keywords—Digital ID, Information Portal, Mobile Application, Android.
ANALISIS KEMAMPUAN MENENTUKAN HURUF KAPITAL DAN TANDA BACA PADA KARANGAN DESKRIPSI SISWA KELAS V SD NEGERI 161 PEKANBARU

The background research is often the occurrence of errors and discrepancies in determining capital letters and punctuation in class V students of SD Negeri 161 Pekanbaru. In fact, in the second semester III class has been taught about the rules of using capital letters and punctuation. Errors and discrepancies in students' writing on the rules of using capital letters and punctuation are used by students in each of their writings. The purpose of this study was to find out and describe the ability of class V students in determining capital letters and punctuation in Pekanbaru Pekanbaru Public Elementary School. This research was conducted in the odd semester of the 2016/2017 academic year, namely on 11-28 October 2017. The type of research in this study was quantitative descriptive. Descriptive research is research that explains and explains an event, situation, event and object that occurs at the present time obtained through collecting data using research instruments and then analyzing and producing quantitative data. Sampling in this study using a sampling technique that is total sampling. The sample in this study was all class V in 161 Pekanbaru Public Elementary School, which amounted to 84 students. The instruments of data collection used are in the form of reading texts in the form of essays that are still misspellings and punctuation marks. The results showed that the students' ability to determine capital letters and punctuation marks in 161 Pekanbaru Public Elementary Schools as a whole indicators belong to a sufficient category with an average value of 59.44. If seen per indicator, there are 2 indicators belonging to the very good category, 3 indicators belonging to the good category, 4 indicators belonging to sufficient categories, and 1 indicator belonging to the less category, namely a comma punctuation after the adverb at the beginning of the sentence.
THE INNOVATION OF TEACHING MATERIALS FOR TEACHING AN EXPOSITION TEXT BASED ON THE GRAPHIC ORGANIZER AT AN ELEMENTARY SCHOOL GRADE IV

The research was conducted since the materials for writing do not fulfill the need of the studenst. This was the cause why the students have low ability in writing.therefore,the material needed to be developed by using strategy graphic organizer.the aim of this research was to produce valid,practical and effective writing material of exposition text.The was research and developing by adopting plomp design which consist of three stages. They are,need analysis (preliminary stage),prototype stage and asseement stage. The data for validity test was obtained through material validation.practicality  was taken from observation sheet about the implementation of lesson plan, questionnaire about students and teacher respon and interview with students and teacher.the effectiveness was been through  the activity of the students writing process and learning result. The data was analyzed descriptively. The validity test shows that writing material for exposition text is valid. Observation,quesionarie and interview result shows that the material is practical.the effectiveness test shows that the activity of the students is very good. Based on those result it can be concluded that writing material for exposition test using graphic organizer grade 4 is valis,practical and effective.
A feature selection framework for video semantic recognition via integrated cross-media analysis and embedded learning

Video data are usually represented by high dimensional features. The performance of video semantic recognition, however, may be deteriorated due to the irrelevant and redundant components included into the high dimensional representations. To improve the performance of video semantic recognition, we propose a new feature selection framework in this paper and validate it through applications of video semantic recognition. Two issues are considered in our framework. First, while those labeled videos are precious, their relevant labeled images are abundant and available in the WEB. Therefore, a supervised transfer learning is proposed to achieve the cross-media analysis, in which the discriminative features are selected by evaluating feature’s correlation with the classes of videos and relevant images. Second, the labeled videos are normally rare in real-world applications. In our framework, therefore, an unsupervised subspace learning is added to retain the most valuable information and eliminate the feature redundancies by leveraging both labeled and unlabeled videos. The cross-media analysis and embedded learning are simultaneously learned in a joint framework, which enables our algorithm to utilize the common knowledge of cross-media analysis and embedded learning as supplementary information to facilitate decision making. An efficient iterative algorithm is proposed to optimize the proposed learning-based feature selection, in which convergence is guaranteed. Experiments on different databases have demonstrated the effectiveness of the proposed algorithm.
Macroeconomic Effects of Entrepreneurship: Evidences from Factor, Efficiency and Innovation Driven Countries

Entrepreneurship is a vehicle of growth and job creation. Approaches taken to encourage entrepreneurship vary around the world based on cultural norms, market conditions, and economic circumstances. Entrepreneurial ecosystems are generally comprised of the government, which builds rules and regulations to support entrepreneurship, the angel and venture capital industry, which provide necessary startup and growth capital to support entrepreneurship, the financial market, which provides financial incentives and exit routes for startups, and finally the entrepreneurs, who form teams and start companies. In present study, we investigate causal relationships between the conditions of economic efficiency ensuring framework and different macroeconomic effects of entrepreneurship, mediated by the entrepreneurial behavior, in the panel of 97 countries based on factor, efficiency and innovationdriven countries during 2008-2017. Using a MIMIC model, we find that a national efficiencyenhancing framework such as entrepreneurial finance, government policy, government supportive programs, entrepreneurship based education, Research and Development (R&D) transfer, commercial and legal infrastructure, internal market dynamics, internal market burden, physical infrastructure, cultural and social norms, act as stimulants for the entrepreneurial behavior of entrepreneurs. While a superior level of entrepreneurial behavior generates simultaneous and/or medium-term favorable effects on the growth of gross domestic product, exports, imports and employment. Therefore, besides immediate growth, assure sustainable economic and social progress in the analyzed countries. Our result also confirms previous findings of other empirical studies in the field. These findings are consistent with received economic theorizing on how national context affects entrepreneurial activity.
Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer

With the increasing research interest in dialogue response generation, there is an emerging branch formulating this task as selecting next sentences, where given the partial dialogue contexts, the goal is to determine the most probable next sentence. Following the recent success of the Transformer model, this paper proposes (1) a new variant of attention mechanism based on multi-head attention, called highway attention, and (2) a recurrent model based on transformer and the proposed highway attention, so-called Highway Recurrent Transformer. Experiments on the response selection task in the seventh Dialog System Technology Challenge (DSTC7) show the capability of the proposed model of modeling both utterance-level and dialogue-level information; the effectiveness of each module is further analyzed as well.
Dual Set Membership Filter with Minimizing Nonlinear Transformation of Ellipsoid

In this paper, we propose a dual set membership filter for nonlinear dynamic systems with unknown but bounded noises, and it has three distinctive properties. Firstly, the nonlinear system is translated into the linear system by leveraging a semi-infinite programming, rather than linearizing the nonlinear function. In fact, the semi-infinite programming is to find an ellipsoid bounding the nonlinear transformation of an ellipsoid, which aims to compute a tight ellipsoid to cover the state. Secondly, the duality result of the semi-infinite programming is derived by a rigorous analysis, then a first order Frank-Wolfe method is developed to efficiently solve it with a lower computation complexity. Thirdly, the proposed filter can take advantage of the linear set membership filter framework and can work on-line without solving the semidefinite programming problem. Furthermore, we apply the dual set membership filter to a typical scenario of mobile robot localization. Finally, two illustrative examples in the simulations show the advantages and effectiveness of the dual set membership filter.
Domain Independent SVM for Transfer Learning in Brain Decoding

Brain imaging data are important in brain sciences yet expensive to obtain, with big volume (i.e., large p) but small sample size (i.e., small n). To tackle this problem, transfer learning is a promising direction that leverages source data to improve performance on related, target data. Most transfer learning methods focus on minimizing data distribution mismatch. However, a big challenge in brain imaging is the large domain discrepancies in cognitive experiment designs and subject-specific structures and functions. A recent transfer learning approach minimizes domain dependence to learn common features across domains, via the Hilbert-Schmidt Independence Criterion (HSIC). Inspired by this method, we propose a new Domain Independent Support Vector Machine (DI-SVM) for transfer learning in brain condition decoding. Specifically, DI-SVM simultaneously minimizes the SVM empirical risk and the dependence on domain information via a simplified HSIC. We use public data to construct 13 transfer learning tasks in brain decoding, including three interesting multi-source transfer tasks. Experiments show that DI-SVM's superior performance over eight competing methods on these tasks, particularly an improvement of more than 24% on multi-source transfer tasks.
GOV.UK Fake Council Tax Emails and Phone Calls

Find out more about a recent wave of fake phishing emails affecting customers in the Braintree District
Audit of Zahir Application at PT Infonet Mitra Sejati Using Cobit 4.1 Framework

In managing inventory, many companies have used inventory applications. One of them is PT Infonet Mitra Sejati or bet-ter known as Infonet. Infonet is a retail company of IT goods and use Zahir application to manage its inventory. To find out the maturity level of Zahir application at Infonet, it is necessary to audit using COBIT 4.1 framework on Delivery and Sup-port domain. In this audit, data collection is done by interview method. Interviews were conducted with the management and head of warehouse of Infonet. From this audit, it is known that the maturity level of Zahir application in Infonet is 3.4 on DS3, 2.8 on DS5 domain, 3 on DS7 domain, 3.33 on DS9 domain, 2.5 on DS10 domain, 3.33 on DS11 domain, and 3.4 on the DS13 domain. This shows that there has been standardization of the use of Zahir applications by Infonet, but there has been no monitoring and measurement of compliance with the established standards of use. Although the use has been in accordance with the needs of the company, process development can still be done to optimize the use of Zahir application in Infonet.
Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking

In this paper, we propose an online learning approach that enables the inverse dynamics model learned for a source robot to be transferred to a target robot (e.g., from one quadrotor to another quadrotor with different mass or aerodynamic properties). The goal is to leverage knowledge from the source robot such that the target robot achieves high-accuracy trajectory tracking on arbitrary trajectories from the first attempt with minimal data recollection and training. Most existing approaches for multi-robot knowledge transfer are based on post-analysis of datasets collected from both robots. In this work, we study the feasibility of impromptu transfer of models across robots by learning an error prediction module online. In particular, we analytically derive the form of the mapping to be learned by the online module for exact tracking, propose an approach for characterizing similarity between robots, and use these results to analyze the stability of the overall system. The proposed approach is illustrated in simulation and verified experimentally on two different quadrotors performing impromptu trajectory tracking tasks, where the quadrotors are required to accurately track arbitrary hand-drawn trajectories from the first attempt.
Pengaruh insentif terhadap peningkatan kinerja pustakawan di perpustakaan UNIMED

This article discusses the effect of incentives on improving librarian performance in the UNIMED library. Based on the results of research on the effect of giving incentives to improve the performance of library librarians in Medan State University as follows: 1). There is a significant influence between giving incentives to improving the performance of the Library of Medan State Library with a calculated value of 0.679 and rtable of 0.334, meaning that r count&gt; r table is 0.679&gt; 0.33. And the discrimination coefficient (D) is 49.10%. 2). The results of the hypothesis obtained by tcount of 5.312 and t table of 1.70. From these results, the tcount&gt; t table is 5.312&gt; 1.70, so that the conclusions obtained in this study are that there is a significant influence between giving incentives to improving the performance of the Library of Medan State Library (Ha accepted and Ho rejected). Keywords: Performance, Librarians, Incentives, UNIMED
Using Virtual Reality for Community Outreach and Student Recruitment.

An antique phone booth was converted into an interactive Virtual Reality (VR) booth to use for potential student recruitment, current student demonstrations, and community outreach. Satisfaction data was collected using a HappyOrNot Smiley Terminal™. In total, 215 users provided feedback on their VR experi¬ence over 142 consecutive days. Eighty percent of respondents found their VR experience to be positive (n = 173). A correlation between student recruitment and VR booth use could not be made. However, the booth proved to be effective in displaying student work and has received positive praise from stakeholders (i.e., students, faculty, staff, administration, and community).
Affect in Tweets Using Experts Model

Estimating the intensity of emotion has gained significance as modern textual inputs in potential applications like social media, e-retail markets, psychology, advertisements etc., carry a lot of emotions, feelings, expressions along with its meaning. However, the approaches of traditional sentiment analysis primarily focuses on classifying the sentiment in general (positive or negative) or at an aspect level(very positive, low negative, etc.) and cannot exploit the intensity information. Moreover, automatically identifying emotions like anger, fear, joy, sadness, disgust etc., from text introduces challenging scenarios where single tweet may contain multiple emotions with different intensities and some emotions may even co-occur in some of the tweets. In this paper, we propose an architecture, Experts Model, inspired from the standard Mixture of Experts (MoE) model. The key idea here is each expert learns different sets of features from the feature vector which helps in better emotion detection from the tweet. We compared the results of our Experts Model with both baseline results and top five performers of SemEval-2018 Task-1, Affect in Tweets (AIT). The experimental results show that our proposed approach deals with the emotion detection problem and stands at top-5 results.