Reviewerly/exHarmony huggingface dataset:
A Research Paper on Web Application Development Using CMS (Xampp/PHP)

It is known that design patterns of object-oriented programming are used in the design of Web applications, but there is no sufficient information that which types of data patterns are used, how frequently they are used, and what the level of quality at which they are used. This research paper discusses the various useful tools and techniques that are used in a development of web applications. In addition we discuss life cycle model of web application. This paper also tells about the tool (BRACKETS), CMS (Content management system) likewise Drupal which is used in this development with the functionality of PHP with XAMPP server screenshots. Keywords : Navigation, Google chart, Xampp, CMS, API Cite this Article Aparna, Neha Verma, Himanshu. A Research Paper on Web Application Development Using CMS (Xampp/PHP). Journal of Web Engineering & Technology. 2019; 6(1): 37–43p
Expected Constant Round Byzantine Broadcast under Dishonest Majority.

Byzantine Broadcast (BB) is a central question in distributed systems, and an important challenge is to understand its round complexity. Under the honest majority setting, it is long known that there exist randomized protocols that can achieve BB in expected constant rounds, regardless of the number of nodes n. However, whether we can match the expected constant round complexity in the corrupt majority setting—or more precisely, when \(f \ge n/2 + \omega (1)\)—remains unknown, where f denotes the number of corrupt nodes. In this paper, we are the first to resolve this long-standing question. We show how to achieve BB in expected \(O((n/(n-f))^2)\) rounds. Our results hold under a weakly adaptive adversary who cannot perform “after-the-fact removal” of messages already sent by a node before it becomes corrupt. We also assume trusted setup and the Decision Linear (DLIN) assumption in bilinear groups.
Pedagogical Conditions for the Organization of Distance Online Trainings in Kyrgyzstan in a Pandemic Period

The scientific article considers various views on the pedagogical conditions of organizing distance learning in the universities of Kyrgyzstan, in a pandemic. The pedagogical conditions I distance learning (DL) presented problems requiring a solution to the pedagogical process. A pedagogical condition, in the learning process, emphasize a set of measures aimed at solving urgent problems in the organization of distance learning, purposefully implemented in the learning process and meeting the specifics of forms of distance learning.
Studying the Relation between Linguistic and Design Quality in RESTful APIs

REST (REpresentational State Transfer) is commonly used for designing APIs. Two main categories of REST API quality have been identified in previous research: linguistic and design quality. Linguis ...
일제하 선산공립보통학교 학생 연구

This thesis started from recognition that the studies about public elementary school-main field of education under the rule of Japanese Imperialism- was very short.I will see the social roles of local public elementary school under the rule of Japanese Imperialism by researching the founding process of Sunsan Public Elementary School, the rate of entering school and constitution of students, and what the students did after graduating school through the graduates lists of Sunsan Public Elementary School.Chang-sun Private School was founded in 1908. It was converted into Sunsan Public Elementary School in 1911. It had had 2,249 graduates during the rule of Japanese Imperialism. The rate of entering school was under 10 percent in 1910s, but it had increased during the rule of Japanese imperialism. The rate of entering school was once stayed for the shortage of classroom, the heavy burden of management expense, and the rapid increase of school dropouts owing to natural disaster and the Great Depression. But the rate of entering school and number of graduates had increased since 1920s.Most early students of Sunsan Public Elementary School. lived in Eup 4-dong. According to the interview, there were lots of students who had family name, Kim of Sunsan. I think their parents lived in center of town and could accept new culture and other things through their stable social position. They didn''t dislike their sons and daughters to enter the school run by the Japanese Government of Joseon.The graduates of Sunsan Public Elementary School had done many things under the rule of Japanese Imperialism. They led 3·1 movement, financial association activities, and cooperative association activities and organized reading clubs. Some graduates became branch managers of newspaper publisher or reporters. Some of them became main body of national movement against Japan as leaders working for developing local society.Sunsan Public Elementary School, the first school of Sunsan had become local elementary education institute under the rule of Japanese Imperialism. The percentage of employment of Sunsan school was 20%. It was very small number, compared with the population of Sunsan. Nevertheless, local community people enlarged the school spontaneously, made their sons and daughters go to school paying school fees. That''s because the successful graduates of the school had become models for them. They chose the school as a strategy for their existence. Sunsan community people thought that Sunsan Public Elementary School could satisfy their desire.
SAMANNTHA WHITE’S STRUGGLE IN JUSTIN SIMIEN’S DEAR WHITE PEOPLE (2014) FILM

ABSTRACT Racism is still common in human life today. Racism usually occurs when blacks are bullied or otherwise mistreated by whites. This can make blacks strong enough and claim equal rights in public. As a reflection of real life, one of the films that fight for equal rights (anti-racism) is the Dear White People film. This research aims to analyze the struggles of the characters in the Dear White People film, where blacks demand that there is no mixing of whites and blacks because the environment on the Wenchester campus is mostly black. In this research, researcher used qualitative methods. In this research, researcher took data through conversations carried out by characters in the Dear White People film. The results of the research were the data collected by the researcher only obtained three of the five analyzes. Keywords: racism, struggle, film
Shadow play

Over the past few decades, China has been undergoing urbanization at an astounding pace. In 2013, the national leadership raised the process to a new gear when it unveiled its plan of converting 70 percent of the population to a cityoriented lifestyle by 2025. Such a significant change would undoubtedly transform the character of a country that has been largely agrarian throughout its millennia of history. One may wonder how, and to what extent, the landscape, culture and the daily being of the nation's people may be altered. As artists, we are compelled to explore and reflect upon the various phases of this historic undertaking while questioning how people are positioned during this monumental social transformation. Through fieldwork in China, we collect the ingredients necessary for a multimedia production that combines traditional artistic expressions with emerging technologies. Weaving three interfaces, namely virtual reality (VR) in cyberspace, a series of painting on canvases and traditional shadow play imagery, the multimedia art project visualizes the metamorphosis that results from the urbanization process. With a retrospective into the past through time-honored imagery and a reflection of the present through immersion in the realities of the modern China, we seek to present stories of everyday people to the conscience of a worldwide audience.
Dynamic Graph Algorithms with Batch Updates in the Massively Parallel Computation Model

We study dynamic graph algorithms in the Massively Parallel Computation model, which was inspired by practical data processing systems. Our goal is to provide algorithms that can efficiently handle large batches of edge insertions and deletions. We show algorithms that require fewer rounds to update a solution to problems such as Minimum Spanning Forest, 2-Edge Connected Components, and Maximal Matching than would be required by their static counterparts to compute it from scratch. They work in the most restrictive memory regime, in which local memory per machine is strongly sublinear in the number of graph vertices. Improving on the size of the batch they can handle efficiently would improve on the round complexity of known static algorithms on sparse graphs. Our algorithms can process batches of updates of size $\Theta(S)$, for Minimum Spanning Forest and 2-Edge Connected Components, and $\Theta(S^{1-\varepsilon})$, for Maximal Matching, in $O(1)$ rounds, where $S$ is the local memory of a single machine.
Understanding and Predicting the Characteristics of Test Collections.

Shared-task campaigns such as NIST TREC select documents to judge by pooling rankings from many participant systems. Therefore, the quality of the test collection greatly depends on the number of participants and the quality of submitted runs. In this work, we investigate i) how the number of participants, coupled with other factors, affects the quality of a test collection; and ii) whether the quality of a test collection can be inferred prior to collecting relevance judgments. Experiments on six TREC collections demonstrate that the required number of participants to construct a high-quality test collection varies significantly across different test collections due to a variety of factors. Furthermore, results suggest that the quality of test collections can be predicted.
Online Multiple Object Tracking Using Single Object Tracker and Maximum Weight Clique Graph

Tracking multiple objects is a challenging task in time-critical video analysis systems. In the popular tracking-by-detection framework, the core problems of a tracker are the quality of the employed input detections and the effectiveness of the data association. Towards this end, we propose a multiple object tracking method which employs a single object tracker to improve the results of unreliable detection and data association simultaneously. Besides, we utilize maximum weight clique graph algorithm to handle the optimal assignment in an online mode. In our method, a robust single object tracker is used to connect previous tracked objects to tackle the current noise detection and improve the data association as a motion cue. Furthermore, we use person re-identification network to learn the historical appearances of the tracklets in order to promote the tracker's identification ability. We conduct extensive experiments on the MOT benchmark to demonstrate the effectiveness of our tracker.
Analysis of Teaching Reform Measures of Application-Oriented Special Elective Courses for Physical Education Majors in Independent Colleges

In the context of economic development in recent years, China's employment situation is increasingly severe, causing more and more graduates cannot find their desired jobs. In order to solve this graduate employment dilemma, colleges and universities began to introduce a variety of measures. Among them, application-oriented elective courses based on students' majors has become a concern of independent colleges in recent years. Therefore, this paper starts from the significance of the reform of the physical education major of independent colleges and considers the feasibility and measures of the maker model in the reform, hoping to be helpful to the follow-up elective reform of the physical education major of independent colleges.
How Visualization PhD Students Cope with Paper Rejections

We conducted a questionnaire study aimed towards PhD students in the field of visualization research to understand how they cope with paper rejections. We collected responses from 24 participants and performed a qualitative analysis of the data in relation to the provided support by collaborators, resubmission strategies, handling multiple rejects, and personal impression of the reviews. The results indicate that the PhD students in the visualization community generally cope well with the negative reviews and, with experience, learn how to act accordingly to improve and resubmit their work. Our results reveal the main coping strategies that can be applied for constructively handling rejected visualization papers. The most prominent strategies include: discussing reviews with collaborators and making a resubmission plan, doing a major revision to improve the work, shortening the work, and seeing rejection as a positive learning experience.
Geographically Weighted Negative Binomial Regression Modeling of Tuberculosis Cases with Distribution Evaluation

&lt;p&gt;Tuberculosis (TB) is contagious disease caused by the bacteria &lt;em&gt;mycobacterium tuberculosis &lt;/em&gt;and is one of the top 10 causes of death in the world. Central Java is included as one of the three provinces with highest number of TB cases in Indonesia. End the TB epidemic by 2030 is the final goal of &lt;em&gt;Sustainability Development Goal &lt;/em&gt;and Indonesia has set target for TB elimination by 2035. The number of TB cases is non-negative count data. The distribution pattern of the count data needs to be noticed in order to produce valid analysis. Based on calculation of the VMR (Variance Mean Ratio) value and suitability test, the data on the number of TB cases follows negative binomial distribution. The infection of TB disease tends to be clumped and is affected by geographical factors (environmental, social, and economic). This study aims to determine factors that affecting TB cases through Geographic Weighted Negative Binomial Regression (GWNBR) model approach which considering spatial aspects. Based on the ratio of AIC and BIC value, GWNBR model with an &lt;em&gt;adaptive &lt;/em&gt;&lt;em&gt;g&lt;/em&gt;&lt;em&gt;aussian &lt;/em&gt;kernel weighting gives the best results. The affecting factors are the number of hospitals , the percentage of population with good water access , the population density , the percentage of household with a distance of drinking water sources and feces septic tank less than 10 meters.&lt;/p&gt;
PENGGEROMBOLAN TWEET BADAN NASIONAL PENANGGULANGAN BENCANA INDONESIA PERIODE AGUSTUS 2018 FEBRUARI 2019 MENGGUNAKAN TEXT MINING

Twitter is a popular social media platform for communicating between its users by writing short messages in limited characters, called tweets. Extracting data information that has non-structured form and huge-sized, usually known as text mining. Badan Nasional Penanggulangan Bencana Indonesia (@BNPB_Indonesia) is the official twitter account of the government agency in the field of disaster management that uses twitter to share much information about disasters that have occurred in Indonesia. This study aims to determine the characteristics of all tweets and to group the types of tweets that they shared based on the similarity of its content. The data used in the study came from BNPB Indonesia's tweets with the period of taking tweets 6th of August 2018 to 16th of February 2019. The cluster result obtained by the k-Means method was 4 groups. The characteristics of the first cluster contained information about the weather conditions in Yogyakarta, the second cluster was about the source and magnitude of an earthquake, and the third group was about the occurrence of earthquakes in Lombok. However, the fourth group characteristic couldn’t be specifically identified because there was no clear distinction between other tweets in its members.
Mechanistic Models of Cognition

Psychological and neuroscientific explanations strongly constrain one another, so much so that psychology has become an integral part of cognitive neuroscience. The functional analyses of classical cognitive psychology can be integrated with neuroscientific explanations to form multilevel mechanistic explanations of cognition. At each level of mechanistic organization, a mechanism explains phenomena by showing that they are produced by suitably organized components. This requires abstraction from irrelevant causes and lower level details, which abstraction is an essential aspect of mechanistic explanation. Therefore, psychological and neuroscientific explanations are not autonomous from one another.
Questions to Consider Before Moving Legacy Systems to the Cloud

Before making any decisions about legacy migration, a detailed business case with quantifiable migration goals should be developed. Whether it's a reduced on-site footprint, enhanced security or sc...
Standard Grammars for LTL and LDL (v0.1.0).

The heterogeneity of tools that support temporal logic formulae poses several challenges in terms of interoperability. This document proposes standard grammars for Linear Temporal Logic (LTL) (Pnueli 1977) and Linear Dynamic Logic (Vardi 2011; De Giacomo and Vardi 2013).
Penerapan Metode Word Square dalam Meningkatkan Hasil Belajar IPS Materi Penggunaan Uang Peserta Didik Kelas III A SD Negeri Kasreman di Semester II Tahun Pelajaran 2018/2019

This research is a Class Action Research (CAR) with the purpose to analyze the application of WordSquare Method in increasing the learning outcome of social science about the money utility on the students of Class III A the Elementary School of Kasreman on the Second Semester of the 2018/2019 year academic. The subjects of this research are  the students of Class III A the Elementary School of Kasreman on the Second Semester of the 2018/2019 year academic as much as twenty four children; consist of fifteen boys and nine girls. The data resources of this research are relating with learning activities and learning outcomes. Techniques of collecting data of this research are non test technique and test technique. The instruments of collecting data of this research are the sheets of observation and the camera application on the hand phone and also daily test. Technique of analyzing data of this research is comparative description. The procedure of this research is the Kemmis and Mc Taggart’s spiral model that consist of two cycles; First Cycle and Second Cycle. Each cycle is consisting of two meetings. The results of this research are 1) the application of WordSquare Method in increasing the learning outcome of social science about the money utility is a group task by searching, finding and signing the concepts inside the WordSquare during the timeline, 2) the application of WordSquare Method in increasing the learning outcome of social science about the money utility is is in a small group, consist of four members, 3) the application of WordSquare Method in increasing the learning outcome of social science about the money utility are increasing the learning activities; actively in discussing, actively in answering the questions from the teacher and other students and actively in asking to the teacher, 4) the application of WordSquare Method in increasing the learning outcome of social science about the money utility has a good group task learning outcomes, 5) the application of WordSquare Method in increasing the learning outcome of social science about the money utility has a good learning outcomes. The learning outcomes on the Early Condition are 60,83 for the average and 58,33% for the completeness. The learning outcomes on the First Cycle are 71,25 for the average and 66,66% for the completeness. The learning outcomes on the Second Cycle are 83,95 for the average and 83,33% for the completeness.
Sistem Pakar Untuk Diagnosis Hama Pada Tanaman Jambu Air Menggunakan Metode Theorema Bayes

Technology is a tool or means used by humans to make ends meet. Technological development covers various aspects of life, such as health, education and in agriculture. One of the uses of current technological developments is the creation of expert systems. Expert systems in agriculture can help farmers in overcoming problems in their crops based on the symptoms that occur in these plants, so farmers can quickly find the right solution. One type of agricultural plants that are susceptible to various pests is water guava. In resolving pests and diseases that attack not a few of the farmers or owners make mistakes in overcoming the problems encountered. So by making an expert system to diagnose guava plant diseases it is expected to help farmers to overcome problems by providing good solutions. The process of making this expert system uses the Bayes theorem method. Bayes theorem method is one method to overcome the uncertainty of data. Where this method is based on the initial condition where the initial condition is a condition of existing symptoms then subject to predetermined rules then the greatest truth value is taken to determine the conclusions and solutions of the symptoms that have been mentioned previously.
Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks

Much of the focus in the area of knowledge distillation has beenon distilling knowledge from a larger teacher network to a smallerstudent network. However, there has been little research on howthe concept of distillation can be leveraged to distill the knowledgeencapsulated in the training data itself into a reduced form. In thisstudy, we explore the concept of progressive label distillation, where we leverage a series of teacher-student network pairs to progressively generate distilled training data for learning deep neural networks with greatly reduced input dimensions. To investigate the efficacy of the proposed progressive label distillation approach, we experimented with learning a deep limited vocabulary speech recognition network based on generated 500ms input utterances distilled progressively from 1000ms source training data, and demonstrated a significant increase in test accuracy of almost 78% compared to direct learning.
3D Pose Estimation Using Multiple Asynchronous Cameras

This paper proposes a method for estimating the 3D pose of a person using multiple asynchronous cameras. In the proposed method, a 2D pose of a person is estimated from each captured image using OpenPose. To solve the asynchrony problem, we virtually generate the synchronous pose data by interpolating the temporally neighboring poses that are from actually captured images. Then, the 3D pose is reconstructed by triangulation from the virtually synchronized 2D poses from multiple cameras. In the experiment, the effectiveness of the proposed method was confirmed by capturing a moving person using eight cameras. We also investigated the effect of frame rate changes on pose estimation accuracy.
The Bodily and the Divine: Study of a 10th Century Hindu Temple in Rajasthan, India

The Hindu temple is a place where gods may be approached, and divine knowledge discovered. The design of the temple based on the cosmic man, the “ vastu purush mandala,” allows the experiencing body to be aligned with celestial elements, obtaining harmony with the cosmos. Exploring the sequence and processes of bodily engagement as one progresses from the periphery to the core, the article seeks to apprise designers on the rituals encompassed in worship at a Hindu temple. The article creates a mosaic of hybrid fragments via photographs, drawings, and text to emphasize the intertwining of the bodily and divine.
FBI reports largest jump in hate crimes in a decade

The Federal Bureau of Investigation has released its report on hate crimes committed throughout the nation for 2019. The data was collected from 15,588 law enforcement agencies and revealed 7,103 single‐bias incidents involving 8,552 victims in 2019. There were also 211 multiple‐bias hate crime incidents, which involved 260 victims.