Reviewerly/exHarmony huggingface dataset:
PENERAPAN MODEL PEMBELAJARAN PROBLEM BASED LEARNING UNTUK MENINGKATKAN AKTIFITAS DAN HASIL BELAJAR MATA PELAJARAN IPA KELAS IV

Abstrak: Penelitian ini bertujuan untuk meningkatkan aktivitas belajar dan hasil belajar siswa kelas IV SDN Wlingi 03 Kabupaten Blitar dengan menggunakan model pembelajaran Problem Based Learning (PBL). Jenis penelitian ini adalah penelitian tindakan kelas yang terdiri dari dua siklus. Teknik pengumpulan data dengan metode observasi, wawancara, dan tes. Hasil Penelitian menunjukkan bahwa aktivitas belajar siswa meningkat dari sebelum dan sesudah tindakan. Pada siklus I presentase aktivitas belajar siswa siswa sebesar 87,4% dan pada siklus II meningkat sebesar 89,61% setelah tindakan. Hasil belajar siswa juga mengalami peningkatan, pada siklus I presentase ketuntasan sebesar 86,7%, pada siklus II meningkat menjadi 100%. Abstract: This research aims to improve the learning activities and learning result of fourth grade students of SDN 03 Wlingi Blitar using learning model Problem Based Learning (PBL). This research is a classroom action research that consists of two cycles. Data collection techniques with methods of observation, interviews and tests. Research shows that students' learning activities increased from before and after the action. In the first cycle the percentage of student learning activities of students amounted to 87.4% and in the second cycle increased by 89.61% after the action. Student learning outcomes also increased, in the first cycle completeness percentage of 86.7%, in the second cycle increased to 100%.
Penerapan Metode Drill terhadap Peningkatan Kemampuan Menulis Aksara Ulu

This research aims to improve the application of Drill method in enhancing the writing ability of Ulu Script student of Bahasa Indonesia language and literature Education Program STKIP-PGRI Lubuklinggau. The method used in this research is a quantitative descriptive method with the research type of pseudo experiments (quasi experiment). The population in this study is all students of the third semester of the Indonesian Language and Literature Education study Program A and B class of 53 with the sampling is class B that amounted to 26 people. Data collection using an essai-shaped test. The data analysis technique uses t-test. From the results of the study obtained the average value of students after using the Drill method (84.92) is greater than before using the Drill (59.85) method and increased by 25,07. The hypothesis test results showed that at a rate of significance 5% value thit &gt; ttab, 11,61 &gt; 2.78 and 11.61 &gt; 2.06. Conclusion, this means that the application of Drill method can significantly improve the writing ability of the students of Ulu Script &#x0D; Keywords: Drill Methode, Writing, Ulu Script
The Development of Assessment Instruments Based on Multiple Intelligence in Elementary School

This study aims to develop theoretically and empirically appropriate multiple intelligences based test instruments to measure students' knowledge in elementary schools.The type of research used is research and development that refers to the theory of Borg & Gall.The population in this study included fourth grade students in elementary schools in central Lampung.The sampling technique uses a purposive technique.The sample of this study was fourth grade students, amounting to 44 elementary schools in Central Lampung.Data was collected through questionnaires and tests.The feasibility of the instrument is theoretically based on the assessment of 3 experts with an average of 84.32 very good categories.While the feasibility of the instrument empirically based on the analysis there are 30 decent and quality MCQs from the results of validity, reliability, distinguishing power, level of difficulty, and distractor test.The results of the study showed that the test instruments developed had met the criteria for writing proper and quality test instruments to measure students' knowledge.
Aspect-level Sentiment Analysis on Goods and Services Tax (GST) Tweets with Dropout DNN

Sentiment analysis (SA) is a primary use case for natural language processing, where data scientists analyse comments on social media to get instant feedback and improvement in future product releases. In this study, SA was performed on the goods and services tax (GST), which is one of the greatest tax reforms in India. In this study, crucial statements (tweets) about GST were analysed using POS-N-gram tokenisation approach to extract word tokens for classifying sentiments or opinions. The objective of this proposed work is to improve the sentiment classifications accuracy of the review data with an optimal number of reduced terms. In this study, a novel approach improved PCA is proposed for dimensionality reduction and a dropout deep neural network classifier is proposed for sentiment classification. These methods are evaluated on the proposed dataset (Corpus-1) and two other benchmark datasets like movie reviews (Corpus-2) and SemEval 2016 (Corpus-3) datasets. Experimental results clearly evident that the proposed approach outperforms the existing methods.
LibGuides: Technology Integration for Teachers: What is Technology Integration?

Technology Integration for beginning, intermediate, and veteran teachers. If you need help blending technology with your lessons and learning in your classroom, then you are in the right place. Includes assessment, tutorial, and resources.
SPECIAL ASPECTS OF DIGITAL INFORMATION ACQUISITION ON THE INTERNET USED IN CRIMINAL INVESTIGATIONS AND PERSONAL DATA ANALYSIS

The article describes the course and results of the social experiment, which was conducted on the basis of the scientific and educational laboratory of criminology and forensic examinations of the Samara University (2017/2018 academic year) and the criminalistics laboratory of the Department of Criminal Law and Process of Togliatti State University (2018/2019 academic year). The purpose of the experiment was to compare the effectiveness of various ways of obtaining information about a person (oral survey, gathering information on the Internet) to select the method of collecting information that is optimal in time and labor. For this, it was proposed to different groups of participants in the experiment to collect information about certain individuals according to the set parameters by conducting a traditional survey and by analyzing profiles in social networks. As a result of the study, the difficulties of the prospects for using social networks in forensic science are identified, a range of information that users prefer not to share about themselves has been identified, a work method has been developed for law enforcement officials of the CIS countries with social networks in Runet space.
ELIXIR Europe on the Road to Sustainable Research Software

ELIXIR (ELIXIR Europe 2019a) is an intergovernmental organization that brings together life science resources across Europe. These resources include databases, software tools, training materials, cloud storage, and supercomputers. One of the goals of ELIXIR is to coordinate these resources so that they form a single infrastructure. This infrastructure makes it easier for scientists to find and share data, exchange expertise, and agree on best practices. ELIXIR's activities are divided into the following five areas: Data, Tools, Interoperability, Compute and Training, each known as “platform”. The ELIXIR Tools Platform works to improve the discovery, quality and sustainability of software resources. The Software Development Best Practices task of the Tools Platform aims to raise the quality and sustainability of research software by producing, adopting, and promoting information standards and best practices relevant to the software development life cycle. We have published four (4OSS) simple recommendations to encourage best practices in research software (Jiménez et al. 2017) and the Top 10 metrics for recommended life science software practices (Artaza et al. 2016). The 4OSS simple recommendations are as follows: Develop a publicly accessible open source code from day one. Make software easy to discover by providing software metadata via a popular community registry. Adopt a license and comply with the licenses of third-party dependencies. Have clear and transparent contribution, governance and communication processes. Develop a publicly accessible open source code from day one. Make software easy to discover by providing software metadata via a popular community registry. Adopt a license and comply with the licenses of third-party dependencies. Have clear and transparent contribution, governance and communication processes. In order to encourage researchers and developers to adopt the 4OSS recommendations and build FAIR (Findable, Accessible, Interoperable and Reusable) software, the best practices group, in partnership with the ELIXIR Training platform, The Carpentries (Carpentries 2019, ELIXIR Europe 2019b), and other communities, are creating a collection of training materials (Kuzak et al. 2019). The next step is to adopt, promote, and recognise these information standards and best practices. The group will address this by (i) developing comprehensive guidelines for software curation, (ii) through training researchers and developers towards the adoption of software best practices and (iii) improvement of the usability of Tools Platform products. Additionally, a direct outcome of this task will be a software management plan template, connected to a concise description of the guidelines for open research software; and production of a white paper for the software development management plan for ELIXIR, which can be consequently used to produce training materials. We will work with the newly formed ReSA (Research Software Alliance) to facilitate the adoption of this plan for the broader community.
Effectiveness of Strategies Used by Heads of Schools in Enhancing Chemistry Performance in form Four National Examinations in Hai District, Tanzania

Background to the ProblemThe UNESCO (2005) argues that the level of a country's education is one of the key indicators of its level of development.This concern for quality education is reflected in the inauguration of Education for All (EFA) in Jomtien Thailand in 1995 and Dakar in 2000.Development of science and technology especially in developing nations demands the preparation of skilled individuals in science disciplines from lower levels of academic and skill training.In Tanzania Chemistry is among science subject taught in secondary schools' curriculum.Chemistry is seen by society as the foundation of technological knowledge that is vital in social-economic development of the nation.Chemistry has been identified as a very important science subject and its importance in scientific and technological development of any nation has been widely reported.It has been a pre-requisite subject for offering most science-oriented courses in the tertiary institution and this calls for the need in teaching it effectively (Adesoji & Olatunbosun, 2008).For example, a good secondary school education pass grade in Chemistry is a prerequisite for joining the prestigious courses in Sciences such as Medicine, Architecture and Engineering professional courses (Mususya, 1992).It is therefore important that performance in Chemistry should be of high levels (Aluko, 2008).Due to the importance of Chemistry subject in Tanzania the government has made some efforts in improving performance in Chemistry in secondary schools for instance introduction of Big Results Now (BRN) and changes in curriculum from content based to competence-based curriculum.Despite all efforts the performance of Chemistry in form four National examinations in schools particularly in public schools has not yet yielded significant changes.
Breast Cancer Detection using Residual Convolutional Neural Network and Weighted Loss

This research presents a breast cancer detection system using deep learning method. Breast cancer detection in a large slide of biopsy image is a hard task because it needs manual observation by a pathologist to find the malignant region. The deep learning model used in this research is made up of multiple layers of the residual convolutional neural network, and instead of using another type of classifier, a multilayer neural network was used as the classifier and stacked together and trained using end-to-end training approach. The system is trained using invasive ductal carcinoma dataset from the Hospital of the University of Pennsylvania and The Cancer Institute of New Jersey. From this dataset, 80% and 20% were randomly sampled and used as training and testing data respectively. Training a neural network on an imbalanced dataset is quite challenging. Weighted loss function was used as the objective function to tackle this problem. We achieve 78.26% and 78.03% for Recall and F1-Score metrics, respectively which are an improvement compared to the previous approach.
Review on Non-spherical Surface Detection Technology

The paper described the importance of aspheric surface detection technology for aspheric surface, introduced three main methods for the detection of aspheric surface profile: profile measurement, interferometry and geometrical optical measurement, emphatically analyzed the diversification derivation mode of interferometry and its detection principle, in the meantime, summarized the advantages, disadvantages and applications of aspheric surface detection methods, prospected the development trend of aspheric surface detection technology.
PENGARUH MODEL COOPERATIVE LEARNING TIPE COOPERATIVE INTEGRATED READING AND COMPOSITION (CIRC) TERHADAP KEMAMPUAN MENGANALISIS SEJARAH DI SMA NEGERI 4 METRO

The low ability to analyze students can be caused by external factors such as, the model or method used by the teacher is less suitable to the state of students in the classroom and internal factors such as the willingness of students or the interest of students to learn less. Based on the results of pre-survey conducted in SMA Negeri 4 Metro in the academic year 2017/2018 shows that students' analyzing ability in learning is still relatively low. The purpose of this study was to determine the effect of Cooperative Integrated Reading and Compositian Cooperative Learning Model (CIRC) to analyze student ability. Based on data analysis using normality test, homogeneity test, hypothesis test (two equity test average and difference of two mean) where result of pre test in experiment class is sig equal to 0,200 and control class with sig value equal to 0,181. Then it can be concluded that the data obtained more than sig&gt; H0 is accepted, in other words the samples are normally distributed. Then the homogeneity test results that have been done by using One Way Anova that is by getting sig result 0,065. Then it can be concluded that the level of significance&gt; 0.05 receives H0 or in other words both populations have the same or homogeneous variants. Furthermore, based on result of equation test of two sig average get 0,039 &lt;0,05 then H0 is rejected which mean H1 accepted. The conclusion of this research is the influence in using Cooperative Learning Model Type Cooperative Integrated Reading and Compositian (CIRC) Against the ability to analyze history of class X students IPA1 SMA Negeri 4 Metro
ON THE DIMENSION AND NON-LINEAR DYNAMICS THEORY APPLICATION IN A NEW FORM AND METHOD OF RADIO LOCATION

Intensive evolution of the modern radar equipment and technologies put new requirements for the radio location theory as well. The work objective is not only to state our viewpoint, to define and discover a new type and a new method of radio location on the basis of fractal-and-scaling or scale-invariant principles but also, just as important, to call attention to conventional questions of the general statistical theory from the point of view of the fractal analysis, fractional calculation and the global fractal-and-scaling approach which was designed and being developed by the author during last 40 years in IREE AS of USSR (IREE RAS). The author was the first who proposed and substantiated the new type and the new method of the modern radio location namely fractal-scaling or scale-invariant radio location (Potapov, 2017, 2018). Efficiency of functionals which are determined by topology, fractional dimension, and texture of a sensed multidimensional signal was proved for synthesis of the new non-energy detectors of low-contrast objects in presence of noise. Fractal radio location is based on three postulates: - intellectual signal/image processing which is based on the fractional measure and scaling effects theory for calculating the field of fractal dimensions; - sampling of a received noisy signal relates to a class of stable non-Gaussian distributions of probabilities of fractal dimension D; - the topology maximum at the energy minimum of a received random signal. Sensitivity of a radio system has been confirmed (what is equal to an increase of the range) while using fractal and textural signature in topological detectors. It results in drastic changes in the mathematical apparatus of the theoretical radio location. The research was supported by the RAS Presidium Program «Nonlinear dynamics: fundamental problems and applications».
Path Tracking Simulation of the Buggy Car by Using Fuzzy Information of the Steering Wheel

The steering wheel control is the method used for the navigation of an autonomous vehicle. In order to control the autonomous vehicle, the steering wheel controller must be able to adapt as the road condition and surrounding environment can change abruptly. The existed autonomous system currently in the testing phase. The system still needs to improve because there is some report regarding an accident caused by the test autonomous vehicles. The aim of this research is to implement the human driving capability into the Fuzzy controller. One of the human capabilities is the ability to make a decision based on the current situation. The fuzzy system is developed based on human driving data while controlling a buggy car. The experiments used to collect data such as position, speed, heading and steering wheel angle. Data then use to develop the membership function for the fuzzy inputs and output. The simulation is performed in order to study the performance of the Fuzzy controller. The performance of the Fuzzy controller is satisfactory and can be improved. The maximum path tracking error recorded is 9 m and 7.5 m for right and left turn simulations.
Role of Geospatial Information for Disaster Risk Management as Exemplified in Recent Large Earthquakes in Japan

Abstract. Geographic location is one of the most fundamental and indispensable information elements for us to work on disasters. For example, in the case of the Tohoku Earthquake in 2011, aerial photos taken immediately after the earthquake greatly improved the information sharing among different government offices and facilitated the rescue and recovery operations, and maps prepared after the disasters have been assisting the rapid reconstruction of the affected local communities. In addition, in the case of the Kumamoto Earthquake in 2016, up-to-date geospatial information technologies were well applied to grasp the disaster situation such as UAVs and InSAR. Advancement of web mapping technology allows us to understand the situation by overlaying various location-specific data on base maps on the web and specify the areas which the activities should be focused on. 3D modelling technology enables realistic understandings of the relationship between disaster and topography. Geospatial information technology can support the proper judgement of preparation and emergency response against disaster by the individuals and local communities through such as hazard mapping and information services using mobile devices. Thus, geospatial information technology is now more and more taking vital role for all the stages of disaster risk management and responses. Acknowledging such vital role of geospatial information for disaster reduction, Sendai Framework for Disaster Risk Reduction 2015–2030, adopted at the Third United Nations World Conference on Disaster Risk Reduction repeatedly indicates the importance of use of geospatial information technology for disaster reduction.
Problems and Countermeasures in the Reform of College Physical Education

China has carried out many years of reforms in college physical education classrooms and has made tremendous achievements.However, in the new historical starting point of deepening reform, they are faced with many problems and challenges.They directly or indirectly affect the process of college physical education reform, and even become an obstacle on the road to reform.It is urgent to solve these problems in time and remove the obstacles in the reform.Based on the background of current physical education teaching reform in colleges and universities in China, this paper divides the existing problems and solutions of physical education teaching reform in colleges and universities so as to build physical education courses into a platform for students to take the initiative to exercise, develop the habit of physical exercise and build a healthy and excellent body.
The Impact of Social Media Marketing on the Success of Small-Sized Enterprises in Jordan

The present study aimed to explore the impact of using social media as marketing tool on the success of smallsized enterprises in Jordan.The study's population consists from all the owners of small restaurants located in Jordan, Amman.As for the sample, it consists of (100) owners who are selected from the population.The questionnaire sheds a light on (e-infrastructure, having a social media page, and human resources).It was found that the owners of small restaurants in Jordan have positive attitudes towards using social media as a marketing tool.It was found that using social media as a marketing tool has a statistically significant impact on the success of small-sized enterprises in Jordan.It was found that having a social media page has a statistically significant impact on the success of small-sized enterprises.It was found that e-infrastructure and human resources don't have any statistically significant impact on the success of small-sized enterprises.The researcher recommends developing the e-infrastructure in Jordan.
Amazigh speech recognition using triphone modeling and clustering tree decision

The main objective of this paper is to develop an Amazigh automatic speech recognition system using a speech corpus composed on $187$ distinct Amazigh words. The speech corpus was recorded by $50$ ($25$ male and $25$ female) Amazigh-Tarifyt native speakers. The system was evaluated on a speaker-independent approach using Hidden Markov Models(HMMs). The tests were carried out basing essentially on the Gaussian mixture distributions(GMMs), tied states (senons), triphone modeling and clustering tree decision. The recognition rate increases significantly and reached $92,2\%$ which is a high and satisfactory recognition rate comparing to the systems developed for this language especially in relative to the size of the corpus used on our system.