Reviewerly/exHarmony huggingface dataset:
Contrasting and Analyzing Machine and Human Translation

The quality of machine translation is an important part in machine language competence.Currently, there are still many differences between machine translation and human translation.The quality of machine translation still could not reach the quality of human translation.We take a Chinese literary text, Mo Yan's Red Sorghum, as the material to translate, and used LIWC2015 to analyze the differences between machine and human translation.Also, we make a linguistical attribution analysis to find out the reasons behind the errors machines make.For the engines of machine translation, we choose Baidu, Youdao and Google as machine translate engines.By analyzing the results from LIWC2015 and error analysis, we find that compared to human translators, machine translate engines tend to use simpler words and often fail to recognize discoursal connection; the errors machine translate engines make are usually caused by long sentences, Chinese names, encyclopedic knowledge, unique expressions and constructions in Chinese and literary expression.
Penerapan Model Pembelajaran Diskursus Multy Reprecentacy (DMR) untuk Meningkatkan Pemahaman dan Prestasi Belajar Siswa

&#x0D; The research problem is the low activity in the classroom in the learning process, especially in the process of activity and achievement which is still rigid. The purpose of this study was to find out by applying the Discourse Multy Representace learning model that could improve student activity and achievement abilities. This research was conducted at SMP N 1 Hinai in the 2020/2021 academic year. With the subject of 36 students. This research was formed in the CAR research. In data collection, the data obtained are student learning activity observation sheets and student learning outcomes tests. For data analysis used quantitative and qualitative data. Based on data analysis, the result of student activity (cycle I was 38.88%), while in cycle II it was (86.21%). On student learning outcomes from the pretest data obtained a score of 62.7 with 12 students who completed and 24 students who did not complete. In the first cycle posttest obtained a value of (73.19%) with a total of 8 students who completed from 28 students who did not complete. And in the second cycle posttest with a value of (94.16) with 35 students who completed and 1 student who did not complete. This shows the success of the research conducted. It can be concluded that the application of collaborating the Discourse Multi-Representation learning model with the concept sentence on the students has succeeded with what was expected. &#x0D; &#x0D; Keywords: Multi-Representation Discourse; improve; Understanding and learning achievement; Students&#x0D;
Nonnegative Matrix Factorization with Hypergraph Based on Discriminative Constraint and Nonsymmetric Reformulation

Nonnegative matrix factorization (NMF) is a widely used clustering method, which has been successfully applied to image clustering, community detection, text clustering, and other applications. However, NMF uses the linear combination of basis vectors, so when there is a nonlinear structure, NMF cannot find the combination of basis vectors representing the one cluster. Meanwhile, higher-order information among the nodes and the limited label information is often ignored. In this paper, we present a new model, namely NMF with hypergraph based on discriminative constraint and nonsymmetric reformulation (DNHNMF) to address this shortcoming. Specifically, DNHNMF formulates a symmetric matrix containing pairwise similarity values by reformulating the nonsymmetric matrix, explicitly combining label information and higher-order information, excavate the potential inherent cluster structure, and making the Euclidean distance between coefficient matrices (clustering assignment matrix) better represent the similarity measure among nodes. The clustering experiments of the proposed method are carried out and validated on eight standard datasets. Extensive experimental results show the effectiveness of the DNHNMF.
Inclusion of university students in social projects on civil and patriotic education of children and youth

An urgent pedagogical problem is considered – the problem of including university students in social projects for the civil and patriotic education of children and youth. An analysis of concepts, interdisciplinary approaches (political science, sociological, psychological, pedagogical), legal documents (strategies, concepts, programs), best practices of organizing educational work in higher education in the civil and patriotic direction is presented. The groups of technologies of civil and patriotic education of student youth are determined: traditional, mixed, innovative. We high-light the leading technology of civil and patriotic education of student youth – inclusion in social projects. Cases and results of a qualitative assessment of students’ activities as implementers of their own projects of civil and patriotic education are shown. Testing of students’ achievements, expert assessment by employers showed the effectiveness of the project activities of students, taking into account their interests, the relationship with their future profession, the effectiveness of using the upbringing and educational potential of social partnership in the practice of civil and pa-triotic education, as well as the possibilities of intensification and prospects for the development of the process of civil and patriotic education students in the context of the application of innovative technologies and formats.
LibGuides: Economics in the Western Hemisphere: Economics Information

This LibGuide provides information about basic economics, natural resources, and the economies of five countries in the western hemisphere.
SISTEM PERAWATAN DAN PERBAIKAN STARTING VALVE DI KM. PERMATA HATI

SYSTEM CARE AND REPAIR STARTING VALVE IN KM. PERMATA HATIAccording to H. Nurdin on the starting valve for the ship's parent machine, either 4-stroke diesel or 2-stroke air to power the engine, the air is produced from an air compressor and housed in an air reservoir. Working pressure for air starts from 25 - 30 bar. According to SOLAS, it is for a direct-driven machine without a gear box to be distarted 12 times without filling again, while for machines with gear boxes can be distarted 6 times.Starting a valve on board has a profitable advantage to start the engine. So the need for checks and maintenance for performance remains maximal. One factor can not help but fill the bottle with a valve that can not be sustainable. The imprint that appears on the machine is not possible when the air of the pedestrian is already mensapply. With the existing conditions performed checks and routine maintenance on the starting valve in order to work with the maximum.The results obtained from this study are the first to be able to fill the wind vial with minimal air (20 bar) that has been in tetunkan in the manual, with the problem on the pipe must be often in the ceck or in krontol so that the distributor pipe can supply the air smoothly .Keywords: System Starting Valve
Object Tracking Using Adaptive Diffusion Flow Active Model

Object tracking is one of the most important topics in the fields of image processing and computer vision. Object tracking is the process of finding interesting moving objects and following them from frame to frame. In this research, Active models–based object tracking algorithm is introduced. Active models are curves placed in an image domain and can evolve to segment the object of interest. Adaptive Diffusion Flow Active Model (ADFAM) is one the most famous types of Active Models. It overcomes the drawbacks of all previous versions of the Active Models specially the leakage problem, noise sensitivity, and long narrow hols or concavities. The ADFAM is well known for its very good capabilities in the segmentation process. In this research, it is adopted for segmentation and tracking purposes. The proposed object tracking algorithm is initiated by detecting the target moving object manually. Then, the ADFAM convergence of the current video frame is reused as an initial estimation for the next video frame and so on. The proposed algorithm is applied to several video sequences, different in terms of the nature of the object, the nature of the background, the speed of the object, object motion direction, and the inter-frame displacement. Experimental results show that the proposed algorithm performed very well and successfully tracked the target object in all different cases.
A Method for Quality Evaluation of Multi-exposure Fusion Images with Multi-scale Gradient Magnitude

Multi-exposure fusion (MEF) combines multiple images with different exposures taken in the same scene into a more detailed image. Aiming at the problems of messy structure, brightness and color distortion of MEF images obtained by different fusion algorithms. The gradient is more sensitive to the distortion of the image structure, so we propose a full-reference quality evaluation method called the multi-scale gradient magnitude similarity quality evaluation method (MGMS). In a single scale, from the perspective of reference image fusion, a quality evaluation algorithm for multi-exposure fusion images based on gradient amplitude is obtained. The quality evaluation values of each scale are weighted and combined to obtain the final multi-exposure fusion image quality evaluation result. The experimental results show that the Pearson linear correlation coefficient (PLCC) and Spearman rank-order correlation coefficient (SROCC) of this method are about 0.8782 and 0.8670, respectively, which are better than the existing MEF image quality evaluation method, more in line with reality, and human visual perception.
Metode Diskusi dalam Pembelajaran Menentukan Unsur Intrinsik Tema di Sekolah Menengah Atas

The ability of students in learning to determine the elements of the short story theme is still low. Therefore, the implementation of learning requires an effective and efficient strategy. The objectives contained in this study are. 1) Explain the ability of students in determining the elements of the theme of the short story Chef Muhammad Damhuri in Class XI SMA Negeri 1 Maja before learning using the discussion method? 2) Explain the ability of students in determining the elements of the theme of the short story cook by Muhammad Damhuri in Class XI SMA Negeri 1 Maja after learning using the discussion method? 3) Explain the effectiveness of the use of the discussion method in learning to determine the theme elements of the short story Chef Muhammad Damhuri in Class XI SMA Negeri 1 Maja. The research method used in this research is the descriptive method. While the data collection techniques used were literature techniques and test techniques (pretest and posttest). Based on the results of data processing and discussion, the average pretest score was 71 or 71%, while the post-test average score was 79.2 or 79.2%. This means that the ability of students has increased in average value by 8.2 or 8.2% after using the discussion method. Based on calculations using the product-moment correlation formula, it shows a correlation value of 0.760, or based on the guidelines for providing interpretation, the data correlation coefficient shows a high correlation. Kemampuan peserta didik dalam pembelajaran menentukan unsur tema cerpen masih rendah. Oleh karena itu, pelaksanaan pembelajaran memerlukan strategi yang efektif dan efisien. Tujuan yang terdapat dalam penelitian ini yaitu. 1) Menjelaskan kemampuan peserta didik dalam menentukan unsur tema cerpen Juru Masak karya Muhammad Damhuri di Kelas XI SMA Negeri 1 Maja sebelum pembelajaran menggunakan metode diskusi? 2) Menjelaskan kemampuan peserta didik dalam menentukan unsur tema cerpen Juru Masak karya Muhammad Damhuri di Kelas XI SMA Negeri 1 Maja setelah pembelajaran dengan menggunakan metode diskusi? 3) Menjelaskan efektivitas penggunaan metode diskusi dalam pembelajaran menentukan unsur tema cerpen Juru Masak karya Muhammad Damhuri di Kelas XI SMA Negeri 1 Maja. Metode penelitian yang digunakan dalam penelitian ini yaitu metode deskriptif. Sedangkan teknik pengumpulan data yang digunakan ialah teknik kepustakaan dan teknik tes (pretest dan posttest). Berdasarkan hasil pengolahan data dan pembahasan menunjukkan perolehan nilai rata-rata pretest sebesar 71 atau 71%, sedangkan perolehan nilai rata-rata posttest sebesar 79,2 atau 79,2%. Artinya kemampuan peserta didik mengalami peningkatan nilai rata-rata sebesar 8,2 atau 8,2% setelah menggunakan metode diskusi. Berdasarkan penghitungan menggunakan rumus korelasi product moment menunjukkan nilai korelasi sebesar 0,760 atau berdasarkan pedoman pemberian interpretasi koefisien korelasi data menunjukkan korelasi yang tinggi.
PENERAPAN MODEL PEMBELAJARAN ROLE PLAYING UNTUK MENINGKATKAN HASIL BELAJAR IPS SISWA KELAS IV SDN 183 PEKANBARU

The background of this study is the low social studies learning outcomes of fourth-grade students of SDN 183 Pekanbaru. The low level of social studies learning outcomes of these students was seen from 35 students, only 15 students who achieved the minimum completeness criteria set at 70. Based on this problem, researchers made improvements to learning by conducting classroom action research by applying role-playing learning models. This research was conducted in April 2018, with the research subject being fourth-grade students with a total of 35 students consisting of 20 male students and 15 female students. The data used in this study are data on teacher and student activities and student social studies learning outcomes. The results of the study show that the activities of teachers and students and students' social studies learning outcomes increase every cycle. Teacher activities at the first meeting of the first cycle obtained an average percentage of 60.71%. Then in the second meeting, the first cycle received 67.85%. In the second cycle, the first meeting received 73.21%. While the second meeting gained 87.50%. The activity of students in the first cycle of the first meeting gained 57.50%. In the second meeting, the first cycle obtained 62.50%. At the first meeting, the second cycle received 72.50%. At the second meeting, the second cycle received 90.00%. The average social studies learning outcome increases, on the base score with an average score of 64.05 then in the first cycle gets 74.14, in the second cycle gets 81.28. Based on the results of these studies, it can be concluded that social studies learning outcomes of fourth-grade students of SDN 183 Pekanbaru have increased after the role-playing learning model has been applied.
PROMOVENDO VIDA EM MEIO À PANDEMIA COVID-19

The pandemic of COVID-19 caused negative impacts to the community living in Vila Princesa, located in Porto Velho -RO.For this reason, the Enactus Team UNIR Porto Velho participated in actions of the Extension Project "EDUCATION, COVID-19 AND VILA PRINCESA: practices of care and production of life", in order to intervene in the community and minimize the consequences arising from the precarious conditions it faces.From this, some podcasts were produced with the purpose of making the residents aware of the virus.In addition, the team developed a booklet to combat COVID-19 that shows, among other things, the correct way to use the mask, bringing a mold so that the reader can make their own protective equipment from materials they have at home.
Improving Explainability and Accuracy through Feature Engineering: A Taxonomy of Features in NLP-based Machine Learning

Natural Language Processing (NLP)-based machine learning receives continuous attention in Information System (IS) research and practice. Despite the success of deep learning models, NLP feature engineering still plays a vital role in contexts where only little annotated data is available, and in which explainability is a precondition for productive deployment. However, NLP feature engineering is a labor-intensive and time-consuming endeavor, and there is still limited shared knowledge about the distinctive characteristics of NLP features from an interdisciplinary perspective. To address this gap, we draw on a systematic literature review and develop a five-dimensional NLP feature taxonomy based on 133 unique features from 211 scientific studies. This helps IS researchers and practitioners to classify, compare, and evaluate their NLP studies. Moreover, we used cluster heat mapping analysis to derive three clusters and several white spots to provide further assistance for designing new NLP solutions in IS.
Butterfly Algorithm Boosted Deep Random Vector Functional Link Network for Keystroke Dynamics

In the advanced information technology domain, cyber-attacks are crucial which is spread throughout the world to hack confidential information such as intellectual property, secret of trade, banking details etc. Handling such security threats are very challenging, and many security schemes are in existence. Continuous Keystroke Dynamics Authentication (CKDA) is the most important and an interesting authentication technique which is non-intrusive, permanent, and inexpensive. It enhances the logical access security based on the typing rhythm. But CKDA needs huge number of samples to analyze and register typing characteristics of users. There are many existing works on continuous authentication using standard machine learning models to understand its pattern. Still, there is an absence of deep understanding on keystroke procedures depending on free text, mainly due to the adaptability and unpredictability of free text keystroke. It is very challenging to signify discrete keystroke using statistical constrained keystroke time features. Thus, this paper focuses on constructing a boosted continuous identity authentication model using Deep Random Vector Functional Link Network (DRVFLN). Unlike standard deep learning model which uses random values for parameters involved in classification, DRVFLN assigns the fine-tuned parameter value using the knowledge of Butterfly Optimization Algorithm (BOA). The experimental results proved that the Boosted Deep Random Vector Functional Link Network (BDRVFLN) prominently produces higher accuracy rate in classifying the users as genuine or imposter using continuous keystroke dynamic authentication.
PENGGUNAAN APLIKASI ZOOM MEETING UNTUK EFEKTIFITAS PEMBELAJARAN DARING PADA MADRASAH IBTIDAIYAH MUHAMMADIYAH 01 PEKANBARU

The pandemic that has hit the world has forced us to do learning indirectly or is often referred to as online (Daring). Online teaching and learning process requires some adjustments both on the teacher's side and the student's side. One of the adjustments is the need to seek technology and adaptation using technology. The currently widely used technology is online meeting services, such as the Zoom Meeting application, Google Meet, Video Calling via the Massager application, or other similar applications. To adapt to the technology, teachers at Madrasah Ibtidaiyah Muhammadiyah 01 Pekanbaru strongly desire to deepen ownership of the Zoom application as one of the media used for online learning. This training aims to provide an understanding and hands-on practice of using Zoom Meeting technology to increase learning effectiveness.
Sensory Hubs Drift around Brain although They Should Not

Sensory hubs of the sensory cortex responsible for integrated brain function are found to behave in an unexpected manner. According to the textbook wisdom, sensory hubs responsible for sensory percepts should be static structures. Sensory hubs are however drifting in a time scale of months. The phenomenon is called representational drift. In this article a model for the drift is discussed. The TGD based model for the brain relies on the notion of the magnetic body (MB) carrying phases of ordinary matter with a non-standard value of Planck constant h eff = nh 0 behaving like matter. MB with h eff > h is in the role of master and receives sensory information from BB and controls it. This leads to a radically new view about information processing in the brain. MB would take care of the necessary teaching of the neurons of the shifted sensory hub - in analogy with associative learning. In the teaching MB would use virtual sensory input to the neuronal hub, which is also necessary for the generation of sensory mental images as standard mental images. The standard mental images could be genetically inherited and represented at MB using dark genes.
RESEARCH OF INFORMATION SYSTEMS PROTECTION METHODS USING MODERN AUTHENTICATION METHODS

At the moment, the exchange of data via insecure communication channels is the most vulnerable to information systems that store a large amount of data, the partial loss or substitution of which can lead to irreversible consequences. For this reason, in order to ensure security, the task is to use such methods and means that allow to verify the authenticity of the user's belonging to this system and, if successful, give access to information. In this paper are reviewed authentication methods that can be used depending on the needs of the systems, their vulnerabilities and recommend solutions to use. Authentication is process of granting a user access to an information system. There are three main types of authentication mechanisms: 1. The user knows some unified information (password entry); 2. The user has a unified information storage (smart card, token); 3. The user himself is an integral part of the authentication (biometric). Each authentication mechanism functions differently and has their strengths and weakness.
Strategic Intelligence and Its Impact on Achieving Entrepreneurship: A Field Study on Jordanian Industrial Companies That Won the King Abdullah II Award for Excellence

The study is aimed at identifying the impact of strategic intelligence in achieving Entrepreneurship on Jordanian industrial companies that won the King Abdullah II Award for Excellence. For the achieving of the study objective, a questionnaire was developed for the purpose of data collection The study sample consisted of (200) employees chosen in a proportional stratified random method. The Statistical Package for Social Sciences (SPSS 19) was used to analyze the data. The study found the following important results: The perceptions of the study sample individuals on the level of strategic intelligence in the researched companies are of an average level, and the perceptions of the study sample individuals on the level of achieving entrepreneurship in the researched companies were of an average level. The study recommends focusing on initiating and taking the risk of seizing and expanding opportunities in markets, as well as concluding deals between companies and alliances in a manner that helps in providing distinguished services among other companies. Further it recommends supporting entrepreneurial initiatives by the managers of the researched companies by providing a work environment that utilizes/encourages/expands energies and generates ideas that contributes to the establishment of entrepreneurial projects that lead companies to grow and continue.