Reviewerly/exHarmony huggingface dataset:
Digital Information System and Waifinding

Generally new students and new visitors in a building often experience difficulties when searching for a space, especially a building that has a lot of space. As well as having a complex space, both classrooms and staff workspaces. Usually visitors who have just entered the building's environment ask the security information parties or other visitors to provide information on classrooms or staff workspace sought. Another way for visitors to find information on conventional building space is available, but the alternative method requires a lot of time. For this reason, this study was made in the campus building, using NetBeans IDE software applying the closest path search algorithm based on the pixel index value on the map image. The system will display the closest landing map and information on the lecturer room staff room and lecture classrooms and search for lecturer data information. Likewise the search for staff and lecturers by writing their names in the search panel on the touch screen monitor. then pressing the "take me there" button, the system will show the direction to the workspace and provide staff information. To view announcement information, users simply select the announcement menu, then choose the announcement category. With this system, visitors are expected to have no difficulties in finding space and staff and campus information. The purpose of this study is to be able to provide a map of the direction of the building on campus from the position of the system to the classroom and the staff room and lecturer room. Besides that, it can also provide information about campus activities, announcements and even events to students and visitors, designed with an attractive interface that is easy to use.&#x0D; Keywords: Building Map, Waifinding, Digital Information, LCD screen, NetBeans IDE
Dimensi Sosial Dalam Novel Cerita Calon Arang Karya Pramoedya Ananta Toer : Tinjauan Sosiologi Sastra Dan Implementasinya Pada Pembelajaran Sastra Di SMA

This study has four objectives, which are to describe (1) Describe the historical socio-author background of the story of Calon Arang Story, (2) Describe the structure that builds the novel Calon Arang by Pramoedya Ananta Toer, (3) Describes the social dimension contained in the Calon Story novel Arang by Pramoedya Ananta Toer, (4) Describing the implementation of the results of the novel novel of Calon Arang by Pramoedya Ananta Toer in learning literature in high school. This study used descriptive qualitative method. The subject of this research was the novel Calon Arang by Pramoedya Annanta Toer. The data analysis technique used is the method of dialectic. Based on the results of the study it can be concluded that (1) The background of the historical socio-author of the novel Calon Arang Story is a figure deemed contrary to the ruler, (2) The structure that builds the novel Calon Arang Story is focused on the theme and facts of the story. The theme raised is about the life of an evil old woman. The fact of the story in the story of Calon Arang Story is the fact of humanity, namely Calon Arang with the power of black magic making trouble to the people of Daha, (3) Social Dimensions in the novel Calon Arang Story includes: The dimensions of religion at that time were Hindu communities. The social environment dimension in which the social conditions of Daha residents in general are good and mutually work together. Economically the population feels prosperity because as farmers with abundant income. The moral dimension in the prospective charcoal story includes two things, namely for the main character Calon Arang with morals as a destroyer and a bad person, while other figures generally have good morals. Politically, the kingdom of Daha has upheld the values of difference and resolved the issue by deliberation, (4) The results of the novel research of Calon Arang Story by Pramoedya Ananta Toer can be implemented in literary learning in the second semester of XII high school according to KD 3.3. Analyzing historical story texts, news, advertisements, editorials / opinions, and fictional stories in novels both through oral and written. This is in accordance with the three criteria of teaching materials, namely, language, psychology and cultural background.Keyword : Social dimension, Calon Arang Story, Sociology of Literature, Literary Learning.
Ensemble, Entrainment, and Movement in the Mess of the Matter: Non-anthropocentric Design of Responsive-Media Environments

In this paper, we describe an experimental approach to the study of coordinated group activity (ensemble) through the development of a responsive media system and enacted movement-based research. Interested in how ensembles emerge, we take into account the material conditions of phenomena associated with coordination and entrainment. To this end we share about the development of a responsive media system and as well as a series of movement experiments with the system. As a unframing tactic, we suspend ontological assumptions which occlude, mask, or ignore relation and event as emergent and unprestateable. This tactic belies both our observations of event as well as the design of responsive behaviors in the media environment apparatus. Our investigations yielded insights for us about embodied experience with respect to technicity.
Library Publishers as Educators: Crafting Curriculum for Undergraduate Research Journals

INTRODUCTION Library publishing programs continue to play an increasingly important role in educating their constituents. In particular, library publishers that support undergraduate student journals often provide guidance to students on both mechanical and conceptual issues related to publishing. This article presents a case study for developing a one-credit-hour course to support an undergraduate student journal publication, the Indiana University Journal of Undergraduate Research (IUJUR), at Indiana University Bloomington. DESCRIPTION OF COURSE The course is offered every fall as a mechanism for onboarding about thirty new undergraduate editors. The course was developed and taught by a librarian and an undergraduate student in consultation with IU’s Office of the Vice Provost for Undergraduate Education. Course curriculum touches on topics that scholarly communication and information literacy librarians alike can adapt for a variety of educational contexts, including authentic activities for understanding peer review models and applying publishing innovations. ASSESSMENT The article details both the formative and summative assessment strategies the instructor utilized to gauge student understanding of key publishing concepts. The summative assessment utilizes pre- and post-tests and extends previous library literature to evaluate students’ actual understanding of publishing concepts in addition to their perceived understanding and confidence. LIMITATIONS AND NEXT STEPS The course curriculum will continue to grow and change in order to accommodate students’ misconceptions and interests.
Novelty of Frequency Domain Data in Smart Structures using μ-Analysis

This paper deals with the advantages of robust control in smart structures. First we present the implementations of H infinity control in the frequency domain. A dynamic model for smart structure under wind excitations is considered. Then robust control theory is used a model to synthesize controllers achieving stabilization with guaranteed performance for smart structures. We use μ-analysis to express the control problem as a mathematical optimization problem and then find the controller that solves the optimization problem in the frequency domain.&#x0D;
Telecom Narrow Bandwidth Two-photon Source with High Fidelity Polarization Entanglement

We demonstrate two-photon sources for long-distance quantum communication. The highest spectral brightness $3.94\times 10^{5}\mathrm{pairs}/(\mathrm{s} \mathrm{ MHz} \mathrm{mW})$ , the narrowest linewidth in telecom of 1.06 MHz and entanglement fidelity of91.8% are shown. © 2019 The Author(s)
Software Abstractions for Large-Scale Deep Learning Models in Big Data Analytics

The goal of big data analytics is to analyze datasets with a higher amount of volume, velocity, and variety for large-scale business intelligence problems.These workloads are normally processed with the distribution on massively parallel analytical systems.Deep learning is part of a broader family of machine learning methods based on learning representations of data.Deep learning plays a significant role in the information analysis by adding value to the massive amount of unsupervised data.A core domain of research is related to the development of deep learning algorithms for auto-extraction of complex data formats at a higher level of abstraction using the massive volumes of data.In this paper, we present the latest research trends in the development of parallel algorithms, optimization techniques, tools and libraries related to big data analytics and deep learning on various parallel architectures.The basic building blocks for deep learning such as Restricted Boltzmann Machines (RBM) and Deep Belief Networks (DBN) are identified and analyzed for parallelization of deep learning models.We proposed a parallel software API based on PyTorch, Hadoop Distributed File System (HDFS), Apache Hadoop MapReduce and MapReduce Job (MRJob) for developing large-scale deep learning models.We obtained about 5-30% reduction in the execution time of the deep auto-encoder model even on a single node Hadoop cluster.Furthermore, the complexity of code development is significantly reduced to create multi-layer deep learning models.
Oracle JET As a Solution

There may finally be a solution to developing great enterprise applications—solutions that are both functionally rich and beautiful in design. For the past four years, Oracle JavaScript Extension Toolkit (JET) has been used for many internal Oracle applications. In fact, a lot of the Oracle Cloud Services are being built using Oracle JET. VBCS (Visual Builder Cloud Service) is an Oracle SaaS product that is built on top of JET and gives users the ability to declaratively build rich applications in no time at all.
Abstract P6-02-03: Interpretation schema for optical coherence tomography images in breast tissue

Abstract Purpose Optical coherence tomography (OCT) is an attractive technology for surgical imaging because it permits the real-time visualization of microscopic tissue morphology with a handheld probe without the need for exogeneous agents, tissue manipulation, ionizing radiation, or histological processing. While initial studies have shown that OCT is an effective margin-evaluation tool for breast conserving surgery (BCS), image interpretation and feature identification have not been directly studied. In this work, breast pathologies were assessed with a handheld OCT probe and the images were compared to histology. Methods Mastectomy and BCS specimens from 26 women were imaged with a handheld OCT probe, and histology slides from the same region were digitally photographed. OCT and histology images from the same region were paired by selecting the best structural matches. Because image characteristics in OCT are akin to those in ultrasound, descriptive OCT image feature terminology similar to that of ultrasound was developed. Each of these characteristics was used to select and describe OCT-histology image matches. Results In total, 2880 OCT images were acquired from 26 breast specimens, and 48 matching OCT-histology image pairs were identified. These matched image pairs illustrate tissue types including adipose tissue, dense fibrosis, fibroadipose tissue, blood vessels, regular and hyperplastic ducts and lobules, cysts, fibroadenoma, IDC, ILC, DCIS, calcifications, and biopsy cavities. Differentiation between pathologies was achieved by considering feature boundaries, interior appearance, posterior shadowing or enhancement, and overall morphologic patterns. Conclusions This is the first work to systematically catalog the features of breast OCT images. The results indicate that OCT can be used to identify important structures and distinguish between benign and malignant breast pathologies. Citation Format: Yemul KS, Zysk AM, Richardson AL, Tangella KV, Jacobs LK. Interpretation schema for optical coherence tomography images in breast tissue [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P6-02-03.
Perturbative BIS Strings and Superstrings Hindering to the Space Dynamics

String theory helps us to describe theoretically the ultramicroscopic properties of the space. It makes the GTR given by Einstein fully compatible with the laws of quantum mechanics. String theory states that the elementary components of the universe are not point particles. Rather they are tiny, one-dimensional slender thread-like object or fibre like rubber bands. Despite being composed of molecules and atoms, these strings are inextricably bound up with the matter. All these strings are inter-connected with each other. Better to say in space we find infinite number of strings which control the space dynamics. Due to the breakdown of integrated system (BIS) these strings become chaotic. Hence arise the hindrances in the motion of the flights. We have named these strings as BIS strings. In our present paper, we will study the properties of these BIS strings pertaining to the aerospace dynamics. Keywords: BIS process, superstring theory, space dynamics, nanoparticles, perturbative spectrum, fat graphs Cite this Article S. Singh, T. Dutta, M.M. Bajaj. Perturbative BIS Strings and Superstrings Hindering to the Space Dynamics. Journal of Aerospace Engineering and Technology. 2016; 6(1): 20–23p.
Pemanfaatan Perpustakaan Sekolah Sebagai Sumber Belajar Siswa SD Inpres 12/79 Biru II Kecamatan Tanete Riattang Kabupaten Bone

The problem examined in this study is the lack of maximum utilization of school libraries as a source of learning. The focus of the Problem: how is the use of the school library as a learning resource for students of SD Inpres 12/79 Biru II Tanete Riattang District, Bone Regency. The purpose of this study is to describe the use of the school library as a source of learning for students of SD Inpres 12/79 Biru II, Tanete Riattang Subdistrict, Bone Regency. The approach used in this study is qualitative. This type of research is descriptive research. This research was conducted from class I-VI SD Inpres 12/79 Biru II in February-April 2018. Subjects in this study were students of class I-VI SD Inpres 12/79 Biru II, Tanete Riattang Subdistrict, Bone Regency, which numbered 30 people consists of 16 men and 14 women, homerooms, librarians, and principals. Data collection in this study using observation sheets, interviews, and documentation. The data analysis technique uses data reduction, data presentation, and draw conclusions. The results of this study can be seen that the use of school libraries as learning resources is not optimal. So, it can be concluded that the use of the school library as a source of learning for students of SD Inpres 12/79 Biru II, Tanete Riattang Subdistrict, Bone Regency has not run optimally.
Radar target identification using HRRP-based features and Extreme Learning Machines

Radar target recognition performance using extreme learning machines (ELM) is examined in this study and compared with optimal classifiers. Classification under various adverse scenarios involving additive noise, azimuth ambiguity, azimuth mismatch between library and unknown target, presence of extraneous scatterers, signature occlusion, absolute phase knowledge, etc. are examined. ELM can be trained expeditiously and are suited for radar target recognition particularly with large training database. The effectiveness of ELM (single layer or multilayered) as a target recognition tool is the focus in this study that relies on real radar data collected in a compact range environment using a stepped-frequency system.
Analysis of Fast Adaptive Bilateral Filter and Morphological Segmentation on MRI Images

Image segmentation methodology is a part of nearly all computer schemes as a pre-processing phase to excerpt more meaningful and useful information for analysing the objects within an image.Segmentation of an image is one of the most conjoint scientific matter, essential technology and critical constraint for image investigation and dispensation.There has been a lot of research work conceded in several emerging algorithms and approaches for segmentation.Segmentation is one of the popular and efficient technique in context to medical image analysis.The purpose of the segmentation is to clearly extract the Region of Interest from the medical images.The main focus of this paper is to review and analyze the effect of segmentation over different tumor images for different parts of the body.In this paper fast adaptive bilateral filter is used with morphological segmentation of image and their application to medical imaging.
<p>Distribusi frekuensi missing teeth pada anak sindroma Down di Yayasan POTADS</p><p>Frequency distribution of missing teeth in Down syndrome children at POTADS Foundation</p>

Pendahuluan: Missing teeth adalah suatu keadaan berupa hilangnya gigi karena adanya kegagalan perkembangan gigi yang dapat menyebabkan berkurangnya fungsi pengunyahan, fonetik, estetika, serta munculnya masalah pada jaringan keras dan lunak di sekitarnya. Gejala missing teeth ditemukan pada anak Sindroma Down yaitu anak yang memiliki kromosom berlebih (trisomi 21) mengakibatkan kelainan dan keterlambatan pertumbuhan dan perkembangan baik fisik dan mental. Tujuan penelitian adalah untuk mengetahui distribusi frekuensi missing teeth pada anak Sindroma Down di Yayasan POTADS. Metode: Jenis penelitian deskriptif dengan teknik survei. Teknik pengambilan sampel yang digunakan adalah total sampling yaitu seluruh anak Sindroma Down di Yayasan POTADS yang datang ke RSGM FKG Unpad pada bulan Oktober 2017 dan Februari 2018. Hasil: Sebanyak 48,07% anak Sindroma Down yang diperiksa mengalami missing teeth dengan tipe hipodonsia sebesar 88%. Simpulan: Distribusi frekuensi missing teeth terjadi pada hampir setengah populasi anak Sindroma Down di Yayasan POTADS.Kata kunci: Missing teeth, hipodonsia, sindroma Down. ABSTRACTIntroduction: Missing teeth is a condition when tooth loss caused by failure development of dental which can lead to decreased function of mastication, phonetics, aesthetics, and become problems in the surrounding hard and soft tissues. Missing teeth founded in children with Down Syndrome which had extra copied of chromosome 21 (trisomy 21) resulting an abnormalities and delays in both physical and mental growth and development. The purpose of this research was to find out the frequency distribution of missing teeth in Down Syndrome children at POTADS Foundation. Methods: Research method was conducted using descriptive survey technique. The samples were using total sampling approach all children with Down Syndrome at POTADS foundation that came to RSGM FKG Unpad in October 2017 and February 2018. Result: 48,07% of pupolation had missing teeth and 88% of them were hypodontia type of missing teeth Conclusion: Frequency distribution of missing teeth almost half population of Down Syndrome Children at POTADS Foundation.Keywords: Missing teeth, hypodontia, Down Syndrome.
Updated training materials. Deliverable D5.3.2

This document and the D5.4 are the latest deliverables of the Learn Project WP5 Training and Education. Previous WP5 deliverables have reported the work developed from M11 until M24: during the first phase of this period, we identified the knowledge gaps, training needs, market trends and the current educational offer. The information compiled helped draft the first version of the three-module curriculum to cover potential users’ expectations; during the second phase, we delivered a face-to-face (F2F) meeting and a Webinar where the attendees provided us with feedback to design a complete and detailed curriculum. We had the participation of LEARN project experts to enhance the syllabus and include good references and LEARN project results and deliverables
GeoGebra application, used in the determination of the magnitude of an earthquake

In this paper, the authors tackle the earthquakes study with the aim of determining the magnitude. By means of a GeoGebra program (an open source programme), we encourage the secondary school scholars in modelling the data obtained from an actual earthquake. We intend to obtain the magnitude of an earthquake by a method that can be easily comprehended by the students. The model is based on Richterâ€™s approach. In order to facilitate the process, a GeoGebra application was created that allows for an accurate calculus. The instrument presented in this paper assists in a better understanding of the Richter scale (including how it was built) and the correlation between the energy released by the earthquake, the amplitude of the waves and the epicentral distance. The students will be able to analyse a seismogram, to identify its main elements and to determine the magnitude of a simulated earthquake.&#x0D; Keywords: Earthquake, GeoGebra, seismogram, STEM, Richter scale.
Online voting system using blockchain

Blockchain as a secure trusted and decentralized architecture is used to create secure schemes, which can serve economics and society with trusted parties. Normally the concept of the voting system is spread wide all over the world. In different generations, different methods of voting system are followed. At the initial stage, the voting system was done by using the paper. Then the second level of development is that the voting is done through the Electronic Voting Machine (EVM). But there were some issues regarding the results. There were some safety issues regarding voting results. In order to increase security, we introduced the concept of blockchain in the voting system. This provides secure results and if any changes are done they can be identified easily. We will introduce a new concept called nonce. The nonce value is calculated by using the SHA256 algorithm.
Modeling of Agricultural Price Data Using Hidden Markov Model

In this paper, we explore the application of hidden Markov model (HMM) in the modeling of agricultural price data.Normal hidden Markov model is fitted and compared with univariate autoregressive moving average (ARMA) model.The parameters of the model are estimated using EM algorithm and the sequence of hidden states are obtained based on the best fitted model.
Assessment in the Hands of Primary School Mathematics Teachers: Four studies in China

In this paper, we describe four studies that have been done in the project Improving Classroom Assessment in China (ICA-C). The project was a sequel to the ICA project in the Netherlands. To shed light on the current situation of Chinese primary school mathematics teachers’ perception and practice of classroom assessment, we first did a review study based on teacher-written papers addressing classroom assessment. Then a large-scale questionnaire survey was conducted by means of which we could identify different assessment profiles of teachers. With the gained knowledge, two other studies were set up to explore the possibility for improving Chinese primary school mathematics teachers’ assessment activities, with a particular focus on using classroom assessment techniques in the domain of division and multiplication.