Reviewerly/exHarmony huggingface dataset:
Analisis Kesalahan Menyelesaikan Soal Matematika Berorientasi Pisa Ditinjau Dari Gender Di SMP Negeri 1 Eromoko

This study aims to analyze students' errors in solving PISA-oriented math problems in terms of gender, to describe language errors, concept errors, and calculation errors of junior high school students in solving PISA-oriented math problems. This type of research is the Mixed Method Research. This study used two subjects of class VIII A SMP Negeri 1 Eromoko for each different error. The data collection techniques used were tests, interviews, and documentation. The results of this study show that there are differences in the errors in solving PISA-oriented math problems between male students and female students. The language errors show that students are still not fully able to master the language of mathematics so that they cannot change the questions into mathematical form correctly. The conceptual error shows that students have not been able to apply and write what formulas are known and asked from PISA-oriented math problems correctly. The arithmetic error shows that students are less careful in calculating because they do not master calculations. To correct student mistakes, it would be better if students are accustomed to working on PISA-oriented math problems.
LibGuides: IED-PK | How to Get Copyright Clearance: Sample Online Form

The purpose of this guide will assist you to get permissions for learning materials and their fair use.
%%title%% %%sep%% %%sitename%%

How to recover deleted videos from MX player is a common question that is asked by many people today. Why? Well, the whole purpose of an mp3 file is to ...
Algorithm for K shortest paths in parallel

A concurrent-read exclusive-write PRAM algorithm is developed to find the k shortest paths between pairs of vertices in an edge-weighted directed graph. Repetitions of vertices along the paths are allowed. The algorithm computes an implicit representation of the k shortest paths to a given destination vertex from every vertex of a graph with n vertices and m edges in O(m+nklog2k) work and O(log3klog*k+logn(loglogk+log*n)) time, assuming that a shortest path tree rooted at the destination is pre-computed. The paths themselves can be extracted from the implicit representation. Applications to dynamic programming problems including the knapsack problem, sequence alignment, maximum inscribed polygons are described.
Intelligent Data Analysis approaches for Knowledge Discovery: Survey and challenges

With the enormous growth in information and data that are produced by various resources such as organization, companies phones, health records, social media, and the Internet of Tings (IoT), their analysis becomes a challenge and even more complex due to the increased volume of structured and unstructured data. Knowledge Discovery in Database (KDD) is the process of finding knowledge in data stored by various resources using Intelligent Data Analysis (IDA) techniques which have the ability to analyze and discover knowledge from these data. This paper investigates the main challenges in KDD. Also, it illustrates the IDAs approaches used to address KDD trends in short and finally presents open issues for research and progress in the field of KDD.
PENERAPAN STRATEGI SQ4R DALAM MENINGKATKAN KETERAMPILAN MEMBACA PEMAHAMAN

Reading is one of skills which is crucial to be taught in the Elementary School. SQ4R (survey, question, read, reflect, and review) strategy is one of the alternatives that could be used to improve the students’ reading comprehension. The aim of this research was to describe the implementation of SQ4R strategy in improving the students’ reading comprehension skill in pre-reading, whilst-reading and post-reading in the fifth grade of SD Negeri 51/II Desa Paku Aji Kecamatan Tanah Sepenggal Lintas Kabupaten Bungo. This was a Classroom Action Research. The result of date analysis indicated that the use of SQ4R strategy could improve the students’ reading comprehension skill in pre-reading, whilst-reading and post-reading in the fifth grade of SD Negeri 51/II Desa Paku Aji.
THE EFFECT OF USING PICTURE AS MEDIA ON THE VOCABULARY MASTERY OF JUNIOR HIGH SCHOOL STUDENTS IN TIMOR LESTE BORDER

Vocabulary is one of the language components which has an important role in language learning. Without having enough vocabulary someone is impossible to speak or communicate in English. The Purpose of Learning Vocabulary To learn something people have to know the purpose of the things Reviews their learn , in this case the purpose of learning vocabulary is to help the learners Easier in expressing the idea , the research aimed to find out the effect of using picture as teaching media in improving vocabulary at timor leste border. The method in this study is Experimental designwith control and experimental group . The populations in this research used random sampling technique with the number of sample are 42 students; 21 students in control group and 21 students in experimental group. This study was conducted at SMP Satap Negeri Sono Perbatasan Timor Leste, from the eighth grade students in academic year 201 7 /201 8 . The instruments that the researcher used are vocabulary test and questionnaire and the research data were collected through a pre-test and post-test and data were analyzed by meand through SPSS 16 . The research result show s revealed that the applying of picture as media in teaching vocabulary could significantly improve their vocabulary and using picture had controibution on students in mastering vvocabulary. Besides, the responses of the experimental group the students of SMP Satap Negeri Sono perbatasan Timor leste have good perception towards the us ing of picture technique. Therefore it can be concluded that the use of picture media for teaching english especially vocabulary to the students is really effective Keywords: Picture,Teaching vocabulary and Vocabulary Mastery.
Mining Negation of Constraints, Application to Online Problem Solving and Knowledge Discovery in Big Data

This talk will discuss and illustrate the benefit of mining negation of constraints for two different research domains: online problem solving and knowledge discovery in Big Data. In the context of online problem-solving applications, we show how the discovery of spatio-temporal constraints representing conflicting assignment rules between drivers and riders can help to solve online larger ride-sharing problems. Ride-sharing problems are sub-classes of vehicle routing problems aiming at assigning prospective passengers to drivers’ cars. In the context of knowledge discovery applications, we exhibit a general key discovery approach that takes advantage of non-key discovery to tackle large RDF knowledge bases. In the context of data linking, key constraints that uniquely identify a resource are used to infer identity links between evolutive and heterogeneous knowledge bases. At the end of the talk we discuss how these approaches can be generalized and reused in different applicative contexts, including numerical agriculture.
Features of work with gifted students in an innovative school

This article describes the features of working with gifted students, the signs and abilities of gifted children, the category of gifted children, their learning strategies. Disposition to creativity is the highest manifestation of human activity, the ability to create something new, original. Disposition to creativity is, first of all, a special mindset. Summing up the above, it is necessary to emphasize that, undoubtedly, every child should have the opportunity to receive such an education at school that will allow him to reach the maximum possible level of development for him.
Prediction of Forecast Busts by Variation of Weather Elements of WRF using Different Physical Schemes

This study investigates the usability of variation of forecasted values of weather elements such as low level cloud coverage among Weather Research and Forecasting (WRF) outputs using different physical schemes so as to predict large error of solar irradiance forecast. The predictability is evaluated by using Receiver Operating Characteristic (ROC) curves and Area Under Curves (AUC). Predictability by using the variation of forecasted values of low level cloud coverage or irradiances is relatively high for the target points in the Pacific Ocean side in the Chubu area in Japan. On the other hand, predictability by using the variation of forecasted values of wind speed is relatively high for the target points in the Japan Sea side, because the forecast of changes in the seasonal winds seems difficult.
Impact of Applying Fraud Detection and Prevention Instruments in Reducing Occupational Fraud: Case study: Ministry of Health (MOH) in Gaza Strip

The study aimed to identify the effect of applying detection and prevention tools for career fraud in combating and preventing fraud and reducing its risks through an applied study on Palestinian Ministry of Health in Gaza Strip, Palestine. To achieve the objectives of the study, the researchers used the questionnaire as a main tool to collect data, and the descriptive and analytical approach to conducting the study. The study population consisted of (501) supervisory employees working at MOH in Gaza Strip, Palestine. The researchers used the stratified random sample method and the multiple regression method to measure the effect. The study concluded a set of results, the most important of which is a positive evaluation among respondents about the levels of application of tools to detect and prevent job fraud within MOH, and the presence of a high interest in tools to prevent job fraud during the implementation of its various work. The study recommended the necessity for the Palestinian National Authority to develop and approve laws regulating health sector, so that those laws guarantee the prevention of conflicts of interest, especially for the category of doctors, by preventing job duplication of doctors working in the government sector. Also study recommended the need for MOH to adopt principles of health sector governance and begin immediately to implement them. This process to ensure transparency, disclosure and accountability in the business framework in a manner that realizes the effective protection of stakeholders and does not compromise or discriminate in the application of these principles, which ensures that all forms of job fraud are organized in an organized manner and within fixed legal frameworks.
Exploring Privacy Implications in OAuth Deployments.

Single sign-on authentication systems such as OAuth 2.0 are widely used in web services. They allow users to use accounts registered with major identity providers such as Google and Facebook to login on multiple services (relying parties). These services can both identify users and access a subset of the user's data stored with the provider. We empirically investigate the end-user privacy implications of OAuth 2.0 implementations in relying parties most visited around the world. We collect data on the use of OAuth-based logins in the Alexa Top 500 sites per country for five countries. We categorize user data made available by four identity providers (Google, Facebook, Apple and LinkedIn) and evaluate popular services accessing user data from the SSO platforms of these providers. Many services allow users to choose from multiple login options (with different identity providers). Our results reveal that services request different categories and amounts of personal data from different providers, with at least one choice undeniably more privacy-intrusive. These privacy choices (and their privacy implications) are highly invisible to users. Based on our analysis, we also identify areas which could improve user privacy and help users make informed decisions.
WORKSHOP LATEX TEMPLATE DAN INTEGRASI BIBLIOMETRIC MENGGUNAKAN PUBLISH OR PERISH-MENDELEY - VOS VIEWER

WORKSHOP LATEX TEMPLATE DAN INTEGRASI BIBLIOMETRIC MENGGUNAKAN PUBLISH OR PERISH-MENDELEY - VOS VIEWER
Augmented reality application design on geophysical encyclopedia for Android smartphones

This research focused on developing Augmented Reality applications in a geophysical encyclopedia. The marker image used is stone images. This study emphasizes on visualize 3D objects successfully appear in the Augmented Reality camera application that was developed so that the learning process using a geophysical encyclopedia based on Augmented Reality can be implemented. The designing object follows the development step and gets the assessment from the media expert. Based on the quantitative assessment, the object and the application get 93.75% points, which indicates the application was very good. The media experts also give some suggestions qualitatively for the object improvement. The result shows that this application can be used as an attachment for explaining the geophysical concept in the encyclopedia.
초등 영어 교과서의 학년군 내 분책 기준 탐색 : 듣기 대화문 의사소통 기능의 계열성을 중심으로

The purpose of this study is to explore inter-grade dividing criteria of the 2015 grade group elementary English textbooks. Elementary English textbooks consist of two grade groups: the 3rd and 4th grade group and the 5th and 6th grade group. L2 Syntactic Complexity Analyzer(L2SCA) is utilized to investigate the dividing criteria of the communicative functions implemented in these textbooks. Subjects of the analysis were the listening dialogues for their structural sequencing of 3rd to 4th graders and 5th to 6th graders separately within their own grade groups. Data were processed and analyzed using SPSS 25.0 and independent sample t tests for inter-grade textbooks for 14 L2SCA statistical indices. The findings are: 6 indices out of the 14 L2SCA statistical indices turn out to be critical for dividing the 2015 grade group elementary English textbooks. The 6 indices are mean clause length, mean sentence length, mean t-unit length, mean complex noun phrasal number per phrase and per t-unit and mean number of verb phrases per t-unit. Based on the findings, it is suggested that a standardized criteria derived from these 6 indices can be provided as an inter-grade dividing criteria of the 2015 grade group elementary English textbooks.
Abstract IA-03: Unsupervised resolution of intra- and inter-tumoral heterogeneity using deep learning

Abstract Applications of deep learning to histopathology has demonstrated expert-level performance, but approaches have been largely concentrated on supervised classification tasks requiring context-specific training and deployment. We demonstrate that deep neural networks, previously trained to recognize diverse histomorphologies in one environment can effectively extrapolate their learned representations to resolve clinically relevant intra- and inter-patient tissue pattern differences in other cancer types without explicit instruction or additional optimization. Moreover, this unsupervised approach highlighted numerous human misclassifications, suggesting that repositioning of existing histology-educated networks could provide scalable approaches for quality assurance and discovery of unappreciated subgroups of disease. Citation Format: Phedias Diamandis. Unsupervised resolution of intra- and inter-tumoral heterogeneity using deep learning [abstract]. In: Proceedings of the AACR Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging; 2021 Jan 13-14. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(5_Suppl):Abstract nr IA-03.
Test and contact tracing: two wings to get rid of COVID-19 pandemic, until we get the vaccine

In tracing a positive person for COVID-19, we are more likely to come across one of these scenarios: a party, a gathering, a restaurant, a flight, and so on. By tracing people and identifying these critical transmission points, we can do active testing for COVID-19 RT-PCR, recommend the self-isolation or quarantine to all individuals at the gathering, or improve the ill-structured places they had contacted, to prevent these spread multipliers and their associated costs. According to the Washington D.C.
Debug and Profile Your React App

When you are working with a React app, there are some specific tools you can use to debug and profile your React app when you run into problems. Having the right tools for the job and knowing how to use them can remove pain points and expedite the process.
THE USE OF BUZZ GROUP TECHNIQUE TO IMPROVE THE SEVENTH GRADE STUDENTS’ READING COMPREHENSION

The objective of the research is to prove that the use of Buzz Group Technique is effective in improving students’ ability in reading comprehension of Descriptive text of the Seventh grade students of SMP Negeri 1 Toribulu. This research used a quasi-experimental research design which involved experimental group and control groups. The research samples VII A as the experimental group with 30 students and VII B as the control one with 30 students selected by using lottery. The data of the research were collected through pre-test and post-test. The mean score of experimental group on pre-test is 46.5, while that of the control one is 63. The mean score of experimental group on post-test is 89,33, while of the control one is 84,83 by using the 0.05 level of significance and 60 degree of freedom, it was discovered that the  value of the t- counted (5,57) is higher than the t- table (1.567). It means that the hyphothesis is accepted. In other words, the use of Buzz Group Technique is effective in improving students’ reading comprehension in Descriptive text of the seventh grade students at SMP Negeri 1 Toribulu. Key words: Improving Reading Comprehension, Buzz Group Technique, Descriptive Text Tujuan dari penelitian ini adalah untuk membuktikan bahwa penggunaan kelompok dengung efektif untuk meningkatkan kemampuan siswa kelas tujuh dalam pemahaman membaca teks deskripsi di SMP Negeri 1 Toribulu. Penelitian ini menggunakan desain quasi-eksperimental yang melibatkan dua kelompok siswa sebagai kelompok eksperimental dan kelompok kontrol. Sampel dari penelitian ini adalah kelas VII A sebagai kelompok eksperimental dengan 30 siswa dan VII B sebagai kelompok kontrol dengan 30 siswa. Sampel dari penelitian ini dipilih dengan teknik lotre.  Penelitian ini dikumpulkan data dengan melalui pre-test dan post-test. Nilai rata-rata yang di peroleh kelompok eksperimen di pre-test adalah 46,50 sedangkan kelompok kontrol memperoleh nilai 63. Nilai rata-rata yang diperoleh kelompok eksperimen di post-test adalah 89.33 sedangkan kelompok kontrol memperoleh 84.33. Dengan menggunakan tingkatan signifikan 0.05 dan 60 derajat kebebasan, hasil penelitian ini menunjukkan bahwa nilai t- hitung (5.57) lebih tinggi dari t- tabel (1.567). Hal ini dapat diartikan bahwa hipotesis penelitian ini di terima. Dengan kata lain bahwa penggunaan kelompok dengung efektif untuk meningkatkan kemampuan siswa kelas tujuh dalam pemahaman membaca teks deskriptifdi SMP Negeri 1 Toribulu. Kata kunci: Meningkatkan Pemahaman Membaca, Carita Rakyat, Teks Naratif, Teks Deskriptif
Financial Openness and Financial Development: Evidence from Emerging Countries

We investigate the potential relation between financial openness and financial development for 27 emerging countries for the period between 1996 and 2016. We focus on three dimensions of financial openness: capital account openness, trade openness, and stock-market openness. In this study, we propose alternative measures for capital account and trade openness. Moreover, we offer capital flow and valuation-based measures for stock-market openness as a potential determinant of financial development. Our findings indicate that capital account openness and trade openness are the key drivers of financial development. These results are not sensitive to the use of alternative financial openness and financial development measures, and are robust after being controlled for institutional quality and its components. Our results have implications for policymakers in emerging countries who try to increase the depth of their financial markets for an easier and cheaper access to funds.
Image-stabilization system with nondestructive readout of video information

This paper proposes a fundamental improvement of existing image-stabilizing systems by using nondestructive-readout technology in a photodetector array. It is shown that the use of the proposed approach makes it possible to avoid losses of part of the image field by comparison with a stabilization system that uses supplementary photodetectors for the measurements. The proposed approach can be used to create promising compact video cameras with image stabilization that allows for displacement, rotation, and scale changes of the image.
FIVE ESSENTIAL ELEMENTS FOR CYBER WORKFORCE WELLNESS

In a typical organization and especially in government agencies, the resources, tools, technologies, and funding allocated to cyber professionals are minimal at best. They are often asked to do a lot with very little and expected to resolve an organization’s cyber issues as a standalone entity, even though they are often embedded deep in the IT realm of the organization. Additionally, the IT operations staff are also perpetually in a state of burnout, as they must meet the expectations of their CIO for operations, but also try and meet the security requirements put forth by the cyber department. Eventually, the state of burnout is perpetuated across the organization, with no sign of light at the end of the tunnel (or should we say marathon). Discover the five essential elements for workforce wellness that are crucial to factor in for Cyber and Technology leaders as well in this article that will greatly help in fostering a people focused approach to Cyber and to organizations.
TEACHING FOREIGN LANGUAGES TO INTERNET GENERATION: NEW CHALLENGES

The use of Information Technologies presents new challenges to foreign language teaching. Torespond to these challenges teachers should consider the impact of IT on consciousness and styleof thinking of their users, primarily of the so-called Generation Y, or Internet generation. The paperexamines some of the changes brought about by computer technologies, in particular, what is usuallydescribed as “clip thinking” and “digital amnesia”. Taking as an example the use of printed andcomputerized dictionaries, the authors come to the conclusion that the main task of the teacher is tohelp students find the right strategy and make informed choices about which dictionary to use in aparticular situation.
Communication in libraries under changed conditions - a personal experience report

The article deals with the question from a subjective point of view, how our communication behaviour at libraries has changed during the pandemic, what we pay attention to but also what we should possibly keep for the future On the one hand, the switch to virtual meetings allows for more flexibility and spontaneity We are also pleased to see time and cost savings, but on the other hand, our communication may also lose quality Facial expressions and gestures are often lost, more sensitive conversations, such as in employee leadership or even job interviews may require a different environment than we can currently offer All in all, it is now up to us to decide which lessons we learn from this forced digitalization of communication and which positive experiences we take with us into the time after the pandemic and which not © Susanne Blumesberger
Persona Model Transfer for User Activity Prediction Across Heterogeneous Domains

In this keynote talk, we present our project on cross-domain digital marketing where we assume totally different service domains such as Web advertisement domain and E-commerce domain. Cross-domain approaches are useful in situations where some domain does not have enough amount data to develop an accurate prediction model on user activities. Our idea is to transfer persona (user) model from one domain which has richer data to the target domain with less data, i.e., it has a worse prediction model. This project is technically very challenging since we assume totally different domains where the users’ activities are different. We present some of recent achievements of our project and also talk about our future plans.