Reviewerly/exHarmony huggingface dataset:
ANALISIS PENGGUNAAN BAHASA DAERAH DALAM PEMBELAJARAN MENULIS CERPEN DI KELAS IX SMPN 1 CIPATAT KABUPATEN BANDUNG BARAT

Regional languages often dominate students in learning activities. One of them is learning activities about writing short stories, resulting in many mistakes made by students in writing. Thus this research was held to determine the errors, causes, and influences caused by regional languages. The method in this study is quantitative descriptive, which explains the phenomenon of using numbers with a sample of 34 people. Based on research, it is known that most mistakes are errors in vocabulary usage. This means there is a large influence of regional languages, especially in writing short stories in learning activities. When this error is allowed, it will certainly damage the rules of the Indonesian language that already have standard rules.
Students’ preferences for print vs electronic study literature – next step after the survey in Norway

Five Universities and Colleges in the Western part of Norway participated in the international survey of students’ preferences for print vs electronic study literature (Mizrachu et al, 2016). The national results were disseminated (Gastinger, Landoy, Repanovici 2015). In this paper, we describe the follow-up process after the initial survey results: Staff from the participating academic libraries were invited to a “training the trainers”-session in how to develop educational resources on electronic study literature for students. A number of academic librarians participated. We ask what the results in their own institutions have been so far, and how the teaching librarians have coped. The results of the follow-up survey will form the basis for further research and development.
Quality Verification of Audio and Image Modulation by the Simulation of PCM, DM and DPCM Systems

Modulation is a process through which a message has to pass in order to be effectively transmitted. However, there are some limitations to Pulse Code Modulation and Delta Modulation that can cause data redundancy, quantization error, slope overload distortion and granular noise which result in a bad communication process. Throughout the past few years, Pulse Code Modulation (PCM), Delta Modulation (DM) and Differential Pulse Code Modulation (DPCM), in digital communication systems, have proven to have unparalleled advantages over analog communication systems; this is in terms of error minimization and distances of transmission enhancements. Delta Modulation, a simplified version of Pulse Coded Modulation also pauses major problems in noise and quantization error. Consequently, and to combat the arising problems, communication engineers have developed newly adaptive compression and modulations techniques for better digital transmission. One of these innovative systems is the Differential Pulse Coded Modulation (DPCM) that can solve the aforementioned problems. Thus the focal point of this article is to explore the simulation of these systems using Simulink (The Math Works, Inc., USA). Eventually, the systems are tested on both image and audio inputs to prove the superiority of DPCM over DM and PCM systems in reducing noise and increasing the signal to quantization noise ratio, thus insuring a smooth and successful transfer of data.
Spirals of science

One of the reasons for writing this paper was the understanding that it is necessary to once again show the complex effect of electromagnetic radiation on living organisms: the electromagnetic fields themselves and the torsion components of these fields. Karl von Reichenbach also studied some radiation, which was called “Odo”, other researchers called this radiation in their own way.It is hard to believe that the nature is so generous and comprises so many undiscovered forces and fields. Most probably researchers have dealt with various aspects of the same phenomena during their investigations. Reality is like this. In our opinion, the most appropriate notion of these fields should reflect their physical nature and then to be called “torsion fields” although western researchers call them longitudinal electromagnetic waves, tachyon or Tesla radiant energy etc. The recent theoretical advance has significantly changed the approach to the problem of protecting people and animals from the negative impact of telecommunication systems on them.
Искусственный интеллект и технократическое мышление

The journal continues its new program rubric «Globalization and the Information Society». The editor-in-chief of Vlast’ Journal touched upon the most relevant, but not enough investigated aspect of digitalization of the modern society that is connected with the place of a person in the system of artificial intelligence – man – environment. Today it is important to think about the conflict of interests between the electronic and the living brain. The author shows that techno-bureaucratic techniques underlie the tragic inconsistencies in the system of man –artificial intelligence.
CaCCNN: context-aware cascaded CNN for face detection

Cascaded face detectors using convolutional neural network (CNN) are widely adopted in real-world applications due to their superior efficiency. However, the performance of those detectors degrades significantly with the presence of challenging faces. In this paper, inspired by the fact that large receptive field provides more contextual information for improved performance, based on the existing cascaded CNN face detector, we propose a context-aware cascaded face detector, which aggregates more information for each candidate window. We empirically evaluated different methods for enhancing the information embedded in the receptive field and provide detailed comparisons. Moreover, we propose a score fusion strategy to combine the confidence scores from different detecting stages in the cascaded network to get a more reliable confidence score. We also propose an improved strategy to perform non-maximum suppression that achieves better efficiency when the number of proposals is huge. Extensive experiments on FDDB and WIDER FACE datasets demonstrate that our real-time detector achieves better performance over other cascaded detectors.
Subatomic Many-Body Physics Simulations on a Quantum Frequency Processor

We demonstrate a photonic quantum simulation on a quantum frequency processor, computing the effective interaction potential between composite particles in the Schwinger model and determining the binding energies of three nuclei (3H, 3He, and 4He). © 2019 The Author(s)
Hypocenter Relocation of Volcanic Earthquake at Agung Vulcano

Agung Volcano is a stratovolcano located in the area of Karangasem regency of Bali and is in the northwest-southeast fault alignment with Batur, Abang and Seroja Volcano. The existence of this alignment allegedly related to the fracture in the northwest of the island of Bali. The eruption of Agung Volcano recorded on November 25th, 2017 was a significant danger for people living around it. Therefore, it is necessary to monitor the activity of Agung Volcano. The method used in this study is the relocation of volcanic earthquake sources to determine the location of the source of the earthquake which caused an increase in Mount activity. Hypocenter relocation was carried out on 138 earthquake events during October 2017-January 2018 using the Coupled Velocity-Hypocenter method. Hypocenter was obtained at a depth of less than 10 km under sea level with an RMS value &lt;0.3 seconds, and this is thought to have a flow of magma fluid through the conduit which moves towards the earth's surface and triggers an eruption
Global and Regional Deformation Analysis of the Myocardium: MRI Data Application

One of the major concerns in cardiac imaging is finding an efficient method for the deformation analysis in the left ventricle of the heart (LV). This paper deals with the results of using a regional analysis of left ventricular of the heart applied on MRI data. Our analysis consists of segmenting 3D objects modeling the myocardium of the LV into 17 regions according to the AHA (American Heart Association) standard. Curvature variation was calculated using the Hotelling MT2 two samples difference metric for the global objects and their different 17 regions during 25 instants of the cardiac cycle. It has been validated with real MRI data. Experimental results demonstrate the great robustness and efficiency of our method to detect pathological regions of myocardium.
Pengolahan Data Akuntansi Menggunakan MYOB V16 Pada CV. Optik Bonie Jakarta Barat

In the current era of globalization, technology is growing rapidly and is a demand for companies requiring accounting systems that can produce financial statement information. CV. Optik Bonie is a company engaged in trading and still uses the system manually in the process of making financial reports starting from recording cash receipts, cash disbursements, sales, purchases and receipt of repayment of accounts receivable to financial statements making. This makes it possible at the time of the process to occur an error in recording, inaccurate reports made and delays in searching for the required data. The application of accounting applications using Myob Premier V.16 is a solution to solve problems that exist in the company and with a computerized system that can make activities effective and efficient compared to manual methods.
Real time security surveillance using machine learning

As we know security has become a major concern in modern society. It is achieved by surveillance which is capable of taking brisk actions. This paper presents a new system architecture which provides real-time surveillance where unauthenticated people are differentiated and provides the data flow and storage path. Recognition errors are narrowed as much as possible to make the system work efficiently. The proposed approach exploits the Viola-Jones method for face detection, the LBPH (Local Binary Pattern Histogram) algorithm as feature tracker. This combination of algorithms gives more accuracy and less processing time in the proposed design. User data is stored separately from the trained file to make the system more reliable. The proposed design can be integrated into any place which is concerned about security and prevents the security breaches before they occur.
Bringing Kleptography to Real-World TLS

Kleptography is a study of stealing information securely and subliminally from black-box cryptographic devices. The stolen information is exfiltrated from the device via a backdoored algorithm inside an asymmetricaly encrypted subliminal channel. In this paper, the kleptography setting for the TLS protocol is addressed. While earlier proposals of asymmetric backdoors for TLS lacked the desired properties or were impractical, this work shows that a feasible asymmetric backdoor can be derived for TLS. First, the paper revisits the existing proposals of kleptographic backdoors for TLS of version 1.2 and lower. Next, advances of the proposal by Gołębiewski et al. are presented to achieve better security and indistinguishability. Then, the enhanced backdoor is translated both to TLS 1.2 and 1.3, achieving first practical solution. Properties of the backdoor are proven and its feasibility is demonstrated by implementing it as a proof-of-concept into the OpenSSL library. Finally, performance of the backdoor is evaluated and studied as a tool for side-channel detection.
THE EFFECT OF OUTDOOR LEARNING ACTIVITES ON STUDENTS' READING COMPREHENSION

This research aimed to determine the influence of Outdoor Learning activities on the second year students’ reading comprehension especially in descriptive text. The study was quasi Experimental Design using “Nonequivalent Control Group Design. The study involved 40 students, second year students of English education department at UIN Alauddin Makassar. The independent variable of this research was Outdoor Learning Strategy and the dependent variable was students’ reading comprehension especially in descriptive text. In this research used instruments those were tests and questionnaire. The data were analyzed using descriptive statistic (frequency, mean score, and standard deviation) and inferential statistic (independent sample t-test). The research discovers that the reading comprehension of the second year students of English Education Department UIN Alauddin Makassar was not improved by using Outdoor Learning Activities. The result of the t-test also shown that the use of Outdoor Learning Activities in teaching reading especially in descriptive text was not effective in improving the students’ reading comprehension in descriptive text because the t-test, -0.39, was lower than t-table, 2.024 (-0.39 2.024).
Facial Expression Recognition

Facial Expressions are considered as one of the channels that convey human emotions. The task of emotion recognition often involves the analysis of human expressions in multi-modal forms such as images, text, audio or video. Different emotion types are identified through the integration of features from facial expressions. This information contains particular feature points that are used to analyse expressions or emotions of the person. These feature points are extracted using image processing techniques. The proposed system focuses on categorizing the set of 68 feature points into one of the six universal emotions i.e. Happy, Sad, Anger, Disgust, Surprise and Fear. For collecting these points, a series of images is given as input to the system. Feature points are extracted and corresponding co-ordinates of the points are obtained. Based on the distances co-ordinates from centroid, images are classified into one of the universal emotions. Existing system show recognition accuracy more than 90% when SVM (Support Vector Machine) classifier is used. In proposed system, SVM classifier is used for building the classification model using extracted 68 feature points from 7 Region of Interests (ROI). Proposed system recognizes emotions of the person with high precision.
THE WAYS OF TRAINING HIGH QUALIFIED PERSONNEL FOR AN INNOVATION ECONOMY

The article analyzes the development of personnel training in higher education, taking into account the needs, potential and resources of the economic sectors.The main directions of reforming high qualified personnel training system for innovation economy have been analyzed.In order to develop job creative ethics of personnel, it was suggested to increase the number of students in higher education and adopt the STEM system of education in accordance with the international experience.
Media Interaktif Berbasis Virtual Reality untuk Mitigasi Bencana Alam Gempa Bumi bagi Siswa

Mitigation is a step or behavior carried out before a natural disaster occurs with the aim of maintaining personal safety and minimizing losses caused by natural disasters that occur. So far the efforts that have been made to increase awareness of disasters in the community include the installation of posters, counseling, evacuation simulations in the field. However, simulations in the field have disadvantages, including2participants who cannot feel or see the situation when natural disasters occur, therefore media needs to be developed that can make users feel directly when natural disasters occur, namely by using virtual reality (VR) based media. VR is a technology that allows users to interact with an environment that is simulated using a computer. This study aims to develop VR-based interactive media to mitigate earthquake natural disasters and determine the feasibility of the media being developed. The research method used is Research and Development (R & D) with a Waterfall development model. Media testing was conducted at the Batik 1 Surakarta Vocational School with 30 students as respondents divided into 2 groups, 15 respondents used interactive media and 15 other respondents were only shown earthquake natural disaster mitigation videos. Based on respondents' questionnaires that use interactive media the percentage value obtained is 68% while those that do not use interactive media only get a percentage value of 62%, and the results of the validation assessment by media experts get a percentage value of 83% which is a feasible criterion. It can be concluded that VR-based interactive media research for earthquake natural disaster mitigation is deemed feasible to be used as a medium of introduction to earthquake disaster mitigation measures.
Self-Concept and Language Development in Two Dyslexic Children between the Ages of 6 and 12

Self-concept is the image that people have about themselves.Each person has both positive and negative self-concept, including children with dyslexia who face obstacle in language development.This research aims to characterize self-concept and language development in two dyslexic children between the ages of 6 and 12.This research applies qualitative case study methodology.The data were collected using the attitude scale and observation.The data were analyzed using descriptive statistics technique.The subjects of this research were two dyslexic children.The result of the research shows that (1) SK, 7 years old dyslexic child who has below average language development and low self-concept; (2) YD, 9 years old dyslexic child who also has below average language development and low self-concept.
CUB SCOUT PROGRAM IN PRIMARY SCHOOL: CURRENT PRACTICES, CHALLENGES AND WAYS TO OVERCOME

Primary Education of Bangladesh is very much focused on students’ overall development to ensure quality education. Thus the government has pursued different types of intervention to ensure students’ development. Cub Scout program was one of the interventions to ensure overall development. The study was attempted to explore the current practices of the cub scout program and how this can be strengthened. Another purpose of the study was to understand the perception of stakeholders on the Cub Scout program in terms of the overall development. This research was important because there has been no study on Cub scout current practices as well as to see the challenges behind it. The study was also important because it can provide valid information about how this useful program can be strengthened. A qualitative research approach was chosen to conduct the study. Interview, FGD and Observation methods were used as data collection method. The purposive and convenient sampling procedure was selected for this study. Data analysis was done following content analysis techniques. Key findings of the study were that the cub scout program was not practiced properly in the school premises, stakeholder’s perception showed that cub scout can play an important role in students’ academic achievement, leadership skill development, involvement with voluntary and philanthropic works and some life skill development. But roles of cub scout in students’ development were not recorded. Cub Scout program can be strengthened if stakeholders’ coordination and proper supervision and monitoring are ensured.
Humanism in No Hana and Tsumi Shi No Hi By Abe Tomoji (Orientalism Study)

This study was aimed at describing humanism in Shi no Hana and Tsumi no Hi by Abe Tomoji. This research was a literature research that used qualitative descriptive method. The data were in the form of text excerpts, both words, phrases and sentences containing humanism. The data were sourced from Shi no Hana novels and Tsumi no Hi by Abe Tomoji published by Shinbungeisha. The data collection techniques used was library research techniques. The collected data was then analyzed based on orientalism theory. To gain the valid result, a triangulation test was carried out, namely time triangulation. The result shows that Hinobe as an invader still maintains human nature, self-concept and freedom. The nature of human beings as individual beings is a feature of humanism in Shi no Hana and Tsumi no Hi. Despite being an invader, Hinobe realized his differences with other Japanese people regarding the ideals of peace. Freedom in Shi no Hana and Tsumi no Hi is divided into physical and psychological freedom, both of which are only Hinobe consciousness not realization. The self concept is divided into physical, attitude and intelligence.Humanisme dalam Shi No Hana dan Tsumi No Hi Karya Abe Tomoji (Kajian Orientalisme)Penelitian ini bertujuan untuk mendeskripsikan humanisme dalam Shi no Hana dan Tsumi no Hi karya Abe Tomoji. Penelitian ini merupakan penelitian sastra yang menggunakan metode deskrptif kualitatif. Data berupa kutipan teks, baik kata, frasa maupun kalimat yang mengandung humanisme. Data diperoleh dari sumber data berupa novel Shi no Hana dan Tsumi no Hi karya Abe Tomoji yang diterbitkan oleh Shinbungeisha. Teknik pengumpulan data menggunakan teknik penelitian pustaka. Data yang sudah terkumpul kemudian dianalisis dengan mendasarkan pada teori orientalisme. Untuk mendapatkan hasil yang benar-benar valid, dilakukan uji triangulasi, yaitu triangulasi waktu. Berdasarkan hasil penelitian diketahui bahwa Hinobe sebagai penjajah masih mempertahankan hakikat manusia, konsep diri dan kebebasan. Hakikat manusia sebagai makhluk individu menjadi keistimewaan humanisme dalam Shi no Hana dan Tsumi no Hi. Meskipun sebagai penjajah, Hinobe menyadari akan perbedaan dirinya dengan orang Jepang lain terkait cita-cita perdamaian. Kebebasan di dalam Shi no Hana dan Tsumi no Hi terbagi atas kebebasan fisik dan psikologis, yang keduanya hanya berupa kesadaran Hinobe bukan realisasi. Konsep diri terbagi menjadi penilaian fisik, sikap dan kecerdasan.
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Automatic and Improved Camera Information Processing for a 3D Photo- Modelling System

The value of (semi-)automatically recognizing the meaningful regions on a Computer Aided Design (CAD) model is well documented and has been traditionally studied as Geometric feature recognition.However, the effective tagging of the regions, especially tagging with contextually meaningful (i.e.semantic) keywords, has been elusive.In this paper, we focus on the non-geometric aspects of the tagging problem and present a semantic tagging framework.Specifically, given the contextually augmented instances created from the unidentified regions on a CAD model, the framework tags the instances with semantic keywords defined in the semantic model.This will provide the direct link between a CAD model and semantic models, and thus allow high-level reasoning to support design and manufacturing tasks.The feasibility of the approach has been verified by applying the developed framework to tag the regions on turbine blade models.This paper concludes with the future challenges of the approach.