Reviewerly/exHarmony huggingface dataset:
Celebrating the Publication of the 30th Anniversary Issue

I congratulate the Journal of Robotics and Mechatronics (JRM) on the publication of its 30th anniversary issue. As one of JRM’s past Editors-in- Chief, I am extremely pleased and proud of this great achievement. JRM was the first journal dealing with robotics and mechatronics in the world when it was launched thirty years ago. Since then, the journal has made a strong impact on the robotics and mechatronics field. It has been hard for the journal to provide high quality issues for so many years. I would like to sincerely express my great respect to Mr. Hayashi, founder and former president of Fuji Technology Press Ltd.; former Editors-in-Chief Prof. Yamafuji, Prof. Fukuda, and Prof. Kaneko; the current Editor-in-Chief, Prof. Takita; and our colleagues, including the editorial board and editorial staff, for their hard work. I would also like to express my great appreciation to all the authors, reviewers, and readers for their superb contributions. This grand thirty-year achievement could not have been attained without all their contributions. I was Editor-in-Chief for seven years ‒ volumes 19 through 25 ‒ beginning in January 2007. I enjoyed my role as Editor-in-Chief, since many young, talented researchers and engineers took part in the editorial process, and I could discuss with them how we would achieve a high-quality journal. I remember clearly how hard they worked to edit superlative volumes by proposing and organizing special issues with up-to-date topics. During that period, we had the good fortune of collaborating with the Japan Society of Mechanical Engineers (JSME). They supported us in providing committee members for our editorial board, and in collecting and reviewing the many excellent papers. I would also express my thanks to JSME for their abundant and generous support. Because of it, JRM achieved a high reputation and contributed to both academia and industry. Today there are many relevant journals in the world. Competing with them and producing an even higher quality journal than ever before are the most critical issues in the next step of JRM’s advancement. I applaud the current editorial board members and staff and expect JRM to become the very top journal in the field. In conclusion, I hope I can celebrate with you ten and twenty years from now, again and again! Tatsuo Arai
Multi Task of Micro Teaching Skills Performance

The main focus of this research was to find out whether Project Based Learning motivated students in microteaching class. Evaluation for microteaching subject based on Kerangka Kualifikasi Nasional Indonesia (KKNI) curriculum which implemented in university needed more variety in producing qualified teachers. The tendency of Indonesian students in learning English was fragmented with the monotonous method, thus this research was conducted. This research was qualitative research with 15 sample students getting the project and they worked in team to have multi tasks. The execution of the integrated skills was observed by the researcher through guided observation from FFT Framework for Teaching, developed by Charlotte Danielson and semi-structured interview. The finding showed that by giving this project driven the students were more active and got high motivation in performing their microteaching practice.
Analisa Pengaruh Log Transaksi Pada Sistem Komputer Menggunakan Algoritma Recovery Berbasis Log

This study aims to melakukakan analysis of the effect of the transaction log on a computer based system either on a single system tired, and two tiered through simulated transactions bank system with technology client / server to get a log of transactions on the database system Microsoft Windows SQL Server 2008 R2 management studio a data base. Methods or algorithms are used to analyze the transaction log on the system used is a log-based recovery algorithm.The results based on the analysis, showed that the use of query local database and query the database using sotere procedure to get the transaction log for troubleshooting transactions on the database system via a user interface  is built to help job database administrator (DBA), much more good compared with conventional systems. Based on the experiments that the log of transactions to be controlled, in-undo, Re-do, or Rolled-Back, even deleted if no longer required automatically to maintain the scalability of computer users in the future, by setting the growth of a standard database from 10% to > 32%, and the establishment of a maintenance schedule to ensure that the reserve database is always available and up to date. Keywords : transaction log analysis, computer-based systems, simulated bank system, client / server two-tiered, SQL Server database .
&amp;#8220;Richer metadata makes content more useful&amp;#8221;

The title of this post comes from the site www.crossref.org/members/prep/ Here you can explore how your favourite publisher of scientific articles exposes metadata for their journal. Firstly, a reminder that when an article is published, the publisher collects information about the article (the “metadata”) and registers this information with CrossRef in exchange for a DOI.
5 reasons to consider an EDR tool

EDR solutions are built to supplement endpoint security with increased detection, investigation and response capabilities. Here are five things to look for beyond the hype.
Prediction of the influenza virus propagation by using different epidemiological and machine learning models

In this bachelor thesis, different models for predicting the influenza virus areexamined in more detail.The focus is on epidemiological compartmental models, as well as on differentMachine Learning approaches.In particular, the basics chapter presents the SIR model and its various extensions.Furthermore, Deep Learning and Social Network approaches areinvestigated and the applied methods of a selected article are analysed in moredetail.The practical part of this work consists in the implementation of a MultipleLinear Regression model and an Artificial Neural Network. For the developmentof both models the programming language Python was chosen using theDeep Learning Framework Keras.Tests were performed with real data from the Reseau Sentinelles, a Frenchorganisation for monitoring national health.The results of the tests show that the Neural Network is able to make betterpredictions than the Multiple Linear Regression model.The discussion shows ideas for improving influenza prediction including theestablishment of a worldwide collaboration between the surveillance centres aswell as the consolidation of historical data with real-time social media data.Therefore, this work consists of a state-of-the art of models regarding thespread of influenza virus, the development and comparison of several modelsprogrammed in Python, evaluated on real data.
Nose Based Rigid Face Tracking

Face detection is one of the first stages of face recognition systems. Thanks to advances in deep neural networks, success has been achieved on many similar image recognition tasks. When videos are available, temporal information can be used for determining the position of the face, avoiding having to detect faces for all frames. Such techniques can be applied in in-the-wild environments where current face detection methods fail to perform robustly. To address these limitations, this work explores an original approach, tracking the nose region initialized based on face quality analysis. A quality score is calculated for assisting the nose tracking initialization, avoiding depending on the first frame, in which may contain degraded data. The nose region, rather than the entire face was chosen due to it being unlikely to be occluded, being mostly invariant to facial expressions, and being visible in a long range of head poses. Experiments performed on the 300 Videos in the Wild and Point and Shoot Challenge datasets indicate nose tracking is a useful approach for in-the-wild scenarios.
PENERAPAN MODEL QUANTUM TEACHING UNTUK MENINGKATKAN KEMANDIRIAN DAN PRESTASI BELAJAR SISWA PADA MATA PELAJARAN MATEMATIKA MATERI KESEBANGUNAN DAN SIMETRI

Interviews and observations showed low learning achievement of independence and fifth-grade students of SD Negeri 2 Tinggarjaya, so this research aims to improve the independence and student achievement in the subjects of Mathematics material congruency and symmetry. This research is the subject of a class action that takes fifth-grade students with a number of 30 students consisting of 12 men and 18 women. This study uses a model of Quantum Teaching is carried out2cycles, each cycle consisting of 2 meetings. Each cycle consists of planning, implementation, observation/observation, and reflection. Based on the result obtained in the first cycle, students' independence as much as79,58% with both criteria and the second cycles much as89,18%, thus increasing the criterion very well, while the acquisition of student achievement obtained in the first cycle the average value of the class of 58,67 with passing grade is achieved only 60%. in the second cycle, the acquisition of student achievement obtained an average value of 89,25class with mastery learning reaches 88,9%. The collection of data through questionnaires and student evaluation sheet, Quantum Teaching shows that the model can improve the independence and student achievement in the subjects of Mathematics material congruency and symmetry.
Hierarchy-Based Salient Regions: A Region Detector Based on Hierarchies of Partitions

This article introduces a novel region detector based on hierarchies of partitions, so-called Hierarchy-Based Salient Regions (HBSR). This approach enables to combine the clues given by a high quality contour detector with a custom salient region detection procedure. The evaluation of the proposed method HBSR with a standard feature detection assessment framework shows that HBSR outperforms the state-of-the-art methods, in average. These promising results may lead to improvements in many computer vision tasks.
Metal Speciation in Sediment from Muara Angke, Jakarta Bay Using of BCR Sequential Extraction Procedure

The assessment of the biological availability of metals is rarely used only by knowing the total concentration of the metal. Therefore, six sediment samples from Muara Angke, Teluk Jakarta were assessed the chemical speciation of heavy metals. This study aims to determine metal speciation using the BCR sequential extraction procedure and to determine metal speciation to evaluate bioavailability in the sediments of Muara Angke, Jakarta Bay. In sediment from Muara Angke, the ability to move sequence of heavy metals studied was Pb&gt;Zn&gt;Cu&gt;Ni. The mostly accumulated in the non-residual fraction of the total concentrations are Cu, Ni, Pb and Zn which indicated that the mobility and anthropogenic inputs of these metals in Muara Angke were quite high. The Risk Assessment Code (RAC) reveal that Zn and Ni at almost station exist in exchangeable and a fraction of carbonate-bound and therefore high-risk category. Most of the Cu at most of the station is in the oxidizable fraction, except a small portion found at all station is in the exchangeable fraction and fraction of carbonate-bound thus posing a low risk for the waters environment. The patterns of Pb speciation show no to low risk to the waters environment. However, metal observations in the waters are necessary because they are persistent and can accumulate which threatening the water environment.
Cluster Analyses of a Target Data Set from the IFCS Cluster Benchmark Data Repository: Introduction to the Special Issue

After a brief introduction to benchmarking in data analysis in general and in cluster analysis in particular, we describe the setup of the IFCS Cluster Benchmark Data Repository along with two challenges connected with it. The first of these challenges called for data sets to be contributed to the repository; the second one pertained to cluster analyses of the winning data set of the first challenge. Subsequently, we introduce the winning data set of the first challenge together with relevant meta-data. We conclude with a brief description of the organization of the present special issue, which comprises reports of analyses that have been submitted as contributions to the second challenge.
Building Library Web Apps

Previous conferences have included workshops encouraging librarians to learn computer programming skills in order to develop efficient, software solutions for problems they face in their work. This poster presentation highlighted two web apps developed by Covenant’s library staff— a reference e-book meta-search engine, and an interactive ILL request form supporting inbound OpenURL linking. The poster described motivations for developing these apps, reviewed the technology used and the development process, summarized the impact on library service, and identified directions for future development.
Opening up the 'treasure chests': the use of Research Information Management Systems for Open Science implementation at research libraries

30 slides.-- Presentation delivered at the 2nd International Conference “Changing Landscape of Science & Technology Libraries (CLSTL 2019) held Feb 28-Mar 2, 2019 at the Indian Institute of Technology in Gandhinagar, India.
The Influence of Story Face Strategy and Reading Motivation toward the Tenth Grade Student’s Narrative Reading Comprehension Achievement of State Islamic Senior High School Number 1 of Palembang

Abstract This study was to investigate the influence of story face strategy and reading motivation towards reading comprehension achievement of the tenth grade students of State Islamic Senior High School Number 1 of Palembang. The population of this study was all the tenth grade students ofState Islamic Senior High School Number 1 of Palembang. The sample was 72 students were taken by using two-stage random sampling; cluster random sampling and simple random sampling technique. In carrying out the research, the writer used an experimental method; factorial design.The writer distributed pre-test, post-test, and reading motivation questionnaire in collecting the data. Then, in analyzing the data, the writer used t-test and two-way ANOVA. The result of this study analysis that; First, there was a significant difference on reading comprehension achievement between the students who had high reading motivation and those who had low reading motivation taught by using story face strategy.Second, there was not any significant difference on reading comprehension achievement between the students who had high reading motivation and those who had low reading motivation taught by using conventional strategy. Third, there was a significant difference on reading comprehension achievement between the students who had high reading motivation and those who had low reading motivation taught by using story face strategy and conventional teaching. The last, there was an interaction effect between story face strategy and students’ motivation on reading comprehension achievement of The Tenth Grade Students of State Islamic Senior High School Number 1 of Palembang. Keywords: Story face strategy, Motivation and Students’ Narrative Reading Comprehension Achievement.
Seton Hall University Libraries: Investigative Reporting: Home

This guide provides resources that will help you with research for Investigative Reporting.
An Ontological Model for Automated User Profiling

The ever-increasing emergence of social media sites and smart electronic devices has contributed to the publication of an enormous amount of data on the Web. Potentially, such huge collection of information allows users to discover anything as per their requirement. However, it is quite difficult or impossible for humans to manage such massive information. This situation also increases considerably redundant as well as substandard information, resulting in a dilution of the quality of information on the web. Thus, the immense variety of results obtained may perplex the users to arrive at the most desirable choices. Semantic Web (SW) as anticipated by Sir Tim Berners Lee, is an advanced web to tackle the limits of the current web and was proposed for providing enhanced structure and linking capabilities to online published data. This will significantly increase the relevance of results produced, by providing a context to the user’s queries, producing user personalized results. In this paper, an attempt has been made to propose a model towards personalization in form of an ontological user profiling algorithm. A case study on social network of an academic institute has been presented and an automated user profiling tool based on java is developed for implementation of the proposed algorithm. An evaluation scheme is also proposed for behaviour modelling. Also, the generated user profile ontology is validated. The key objective of this approach is to automatically generate a machine-processable representation of user’s static and dynamic attributes that can be utilized to incorporate semantics to generate personalized results making the auto-form filling, searching and recommendation results more appropriate.
PEMEROLEHAN BAHASA ANAK (STUDI KASUS TERHADAP PEMEROLEHAN BAHASA ANAK USIA DINI)

A child does not suddenly have the first grammar in the brain, complete with all the rules. First language was obtained with several stages, and each subsequent stage nearer the grammar of adult language. This study aims to determine the system language acquisition of children aged 2.3 years to 2.6 years of age, especially those that include phonology, morphology, and syntax. The theory used in this study is the theory of language acquisition. The findings of the study, namely the age of 2.5 years, a normal child can already pronounce phonemes, and words are limited. At age 2.3 to 2.5 years, the words that were produced have started to grow and start of nouns and verbs. At the age of 2.5 years has been able to assemble simple words.
Research on Warehouse Receipt Pledge Financing Model Based on Blockchain Technology

In recent years, the warehouse receipt pledge financing has developed rapidly in China, and the diversified development of its business model has made the risk more and more prominent, mainly in the aspects of legal risk, market risk, management risk, credit risk and pledge risk. Therefore, after fully demonstrating the necessity and feasibility of introducing the blockchain idea in the warehouse receipt pledge financing, the warehouse receipt pledge financing model based on blockchain technology is constructed from the perspective of risk aversion, and the challenges that may be faced in the implementation process are discussed. With corresponding countermeasures, it provides a certain reference for the application of blockchain in the field of supply chain finance.
Advances in photonic neuromorphic computing (Conference Presentation)

Photonic neural networks (PNN) are a promising alternative to electronic GPUs to perform machine-learning tasks. The PNNs value proposition originates from i) near-zero energy consumption for vector matrix multiplication once trained, ii) 10-100 ps short interconnect delays, iii) weak required optical nonlinearity to be provided via fJ/bit efficient emerging electrooptic devices. Furthermore, photonic integrated circuits (PIC) offer high data bandwidth at low latency, with competitive footprints and synergies to microelectronics architectures such as foundry access. This talk discusses recent advances in photonic neuromorphic networks and provides a vision for photonic information processors. Details include, 1) a comparison of compute performance technologies with respect to compute efficiency (i.e. MAC/J) and compute speed (i.e. MAC/s), 2) a discussion of photonic neurons, i.e. perceptrons, 3) architectural network implementations, 4) a broadcast-and-weight protocol, 5) nonlinear activation functions provided via electro-optic modulation, and 6) experimental demonstrations of early-stage prototypes. The talk will open up answering why neural networks are of interest, and concludes with an application regime of PNN processors which reside in deep-learning, nonlinear optimization, and real-time processing.
Integrating declarative models and HMMs for online gesture recognition

In the last years, the introduction of new, precise and pervasive tracking devices has contributed to the popularity of gestural interaction. In general, the effectiveness of such interfaces depends on two components: the algorithm used for accurately recognizing the user movements and the guidance provided to users while executing gestures. In this paper, we discuss a work in progress research for connecting these two components and increasing their effectiveness: the recognition algorithm supports the implementation of feedback the and feed-forward mechanisms, providing information on the identified gesture parts in real time, while developers define complex gestures starting from simple primitives.
Querying the Dataset from the Developed Ontology for Swineflu Disease

Ontology design and querying the data set to obtain accurate results has been a topic of research. The aim of the paper is to represent ontological knowledge in the field of Medical Information Systems to store the knowledge about Swine flu disease and thereby querying the data and formalize the knowledge base development. The developed knowledge from RDF is converted to rules and then querying is done through different methods and performance analysis has been done on the retrieved query. The results predicted determine the suitability of the method where querying gives the accurate result for swine flu disease ontology.
Identifying and Tracking the Object Motion Path By Means Of Image Processing In Python through the CanopenProtocol

In the field of machine vision, object tracking is one of the crucial topics.Tracking is the positioning process of moving targets by means of a camera.Nowadays, image processing systems are used in different usages.In the current research, at first, the object will be selected by image processing in Python with opencv and color detection.For better control, then the necessary calculations will bedonein the programmable logic controller (plc), and finally, through the control area network (CAN) protocol, the object's position will be transferred to two servomotors in both X and Y directions.Due to the fact that the engines velocity will be proportional to the object movement speed, the selected object will be traced in real time.