Reviewerly/exHarmony huggingface dataset:
Do Users Correctly Identify Password Strength

Much of the security for information systems rests upon passwords. Yet, the scale of password use is producing elevated levels of cognitive burden. Existing research has investigated the effects of this cognitive burden with a focus on weak versus strong passwords. However, the literature presupposes that users can meaningfully identify such. Further, there may be ethical implications of forcing users to identify password strength when they are unable to do so. Accordingly, the purpose of this study was to measure what socioeconomic characteristics, if any, led participants to identify weak and strong password strengths in a statistically significant manner. We gathered 436 participants using Amazon’s Mechanical Turk platform and asked them to identify 50 passwords as either weak or strong. Then, we employed a Chi-square test of independence to measure the potential relationship between three socioeconomic characteristics (education, profession, technical skill) and the frequency of correct weak and strong password identification. The results show significant relationships across all variable combinations except for technical skill and strong passwords which revealed no relationship.
Creating a RESTful API: Flask

In this chapter, I will show you how to build a small project in Python. You will use all the knowledge about the software development process you have learned so far from the previous chapters. Part of every project is the decisions you need to make as to what technologies you are going to use. Lots of things can affect these decisions, such as your own skillset, your team's skillset, general best practices, and your project itself. You will stick to a conservative but realistic approach to solve your problem. You will build a small system that communicates with a database. This will be a complete project setup, including the GitLab repositories, changes to the Docker file, and installing the software you need for your project. One new aspect I will introduce is the software framework. When we create systems, we don't necessarily write all the code from scratch. We may opt to use a framework. A framework houses all the basic tools we need in order to bring our software up quickly. The tools may include routing of requests, where your external request is served up via specific “routes” into the system, or the basic code for database access models.
Research on the synergy law of Pinellia tuber and Golden thread by improved association rule algorithm

In this paper, the association relationship between data is becoming more and more complex. The Apriori algorithm, needs to scan the database several times to calculate the candidate set, which is inefficient. By designing the experiment, the use of professor Lei Zhang from 2006 to 2017, 11038 cases of the basis data set, to put forward four kinds of improved algorithm of association rules: FP-growth algorithm, Apriori_ParallelCount algorithm, GAN algorithm, Apriori_BOMS algorithm do the performance testing. Experimental results show that the Apriori_ParallelCount algorithm has the best comprehensive performance among the five association rule algorithms. Apriori_ParallelCount algorithm is uses the hash stored to nature, the data collection of transaction and the mapping of frequent item sets is stored in a hash structure, to avoid the algorithm when calculating the candidate set support multiple scan data set, proposed multi-threaded operation, improve the efficiency of the algorithm. Using the most efficient algorithm to contain 1625 cases of basis of Pinellia tuber and Golden thread data association rules analysis, it is concluded that professor Zhang Lei the synergy law of Pinellia tuber- Golden thread, using the Python language for visualization mapping of all analytical results.
PENGARUH MEDIA PEMBELAJARAN MIND MAPPING TERHADAP PRESTASIBELAJAR

Abstract: Learning media is a tool to convey learning messages. Mind Mapping is a conceptmap that is used with effective and practical note-taking techniques. Learning achievement isthe learning outcome achieved by students.The purpose of this research to know the effect ofapplication mind mapping learning media on student achievement in economic subjects in XIIPS class MA Darul Ulum Pasinan Baureno. This is quantitative research. Technique datacollection done with observation and test. The instrument use a multiple choice test instrument.This research uses mind mapping media as the independent variable and learning achievementas the dependent variable. The population in this research are students of XI class MA DarulUlum Pasinan Baureno. The sample uses in this research is a XI IPS class, amounting to 19students who are obtained using purposive sampling technique. Data collection in this reseacrhare pretest and posttest. The data analysis technique in this reseacrh includes a prerequisite testconsisting of normality test, linearity test and hypothesis test. The results of this research, basedon hypothesis test uses the t-test formula, the value of sig. (2-tailed) 0.000 with a significancelevel of 5% (0.05). So, that 0.05> 0.000 then is accept and is reject. This shows thatmind mapping learning media produces better learning achievement or can have an influenceon student achievement of XI class MA Darul Ulum Pasinan Baureno academic year 2019/2020on social studies subject to taxation.Keywords: Mind Mapping Media, Learning Achievement
KALO AND SUGA: A Mobile Game On Awareness Of Calorie and Sugar Intake For Teenagers

Calories and sugar is a nutrient that has been provided in almost foods. It is important for our body because calories give our body energy to do physical activity. Nowadays, most of the children are often live unhealthy life such as unhealthy eating habits and stay indoors. This has become a big concern as most of them may or had obesity-related diseases. This research purposes were to spread awareness of calories and sugar intake among teenagers using a mobile game application, and it will be developed in UNITY, and it only for an Android. This research use ADDIE MODEL for the research model. Online questionnaires were used to evaluate the effectiveness of the product in delivering awareness of calorie and sugar intake among teenagers. The results showed that the objective of this research has been achieved and this product gives knowledge and awareness of calorie and sugar intake among teenagers. This game also can help to promote a healthy lifestyle for the young generation.
IMPROVING STUDENTS’ READING COMPREHENSION IN DESCRIPTIVE TEXT BY USING NUMBERED HEAD TOGETHER TECHNIQUE AT SMP NEGERI 11 PASURUAN

The purpose of this study was to explore the implementation of Numbered Head Together to improve students’ reading comprehension in descriptive text at the first year of students of SMP N 11 Pasuruan. The design of this study was classroom action research (CAR). This research focused on the use of Numbered Head Together to improve the students’ reading comprehension in descriptive text at seventh grade of SMP Negeri 11 Pasuruan and conducted in class VIIB which was consisting of 17 males and 12 females. The instrument used in this study were observation, interview, questionnaire, documentation and test. In assessing students’ individual test, the researcher adapted the scoring rubdric from Pioneer Valley Book by Michelle Dufresne. The finding showed that Numbered Head Together (NHT) technique could improve students’ reading comprehension in descriptive text in the seventh graders’ of SMP NEGERI 11 Pasuruan. It was proven from the improvement result of the criteria of success in the first and second cycle. Besides, Numbered Head Together was one of technique which could make students were more active and confident to share their ideas in group discussion. Keywords : Reading Comprehension, Descriptive Text, Numbered Head Together
Library education models and pathways in the digital economy

Crucial questions of library and information education in the circumstances of digital economy are formulated. Factors to impact the pathways of library and information education are defined. The current trends in higher education influencing the models and pathways of library and information education, library profession and sector development within the digital economy, are revealed.
The Learning English Process by Using Telegram Group as a Media in SMAN 1 Pamukan Barat

At this time online based learning is very much needed. Especially during theCovid-19 Pandemic which required the teaching and learning process to becomeonline learning. This requires teachers to look for ways to learn online that can bedone during a pandemic. The English teacher at SMAN 1 Pamukan Barat uses theTelegram application in the online learning process. In this application, students andEnglish teachers are members of their study group. The researcher raised the title English Learning Process Using TelegramGroups as a Media at SMAN 1 Pamukan Barat aims to find out how the Telegramapplication is used in online learning English and to find out what difficultiesstudents have in using the Telegram application in learning English online.Researchers conducted research at SMAN 1 Pamukan Barat in Kotabaru Regency,and collected data through class X IPS 1 students. The results of this study indicate that the English teacher at this school usesthe Telegram application in learning English online, the learning process is carriedout in the Telegram online learning group. Teachers use a variety of applicationfeatures in learning. Discussion, explanation of material and submission ofassignments all use the Telegram application. In addition, the results also show thatthere are various difficulties experienced by students in using the Telegramapplication when learning online.
METHODOLOGICAL SYSTEM OF TRAINING STUDENTS IN INFORMATICS

Currently, it is becoming relevant to study the issue of the methodological training system. This is due to the fact that researchers are trying to give the learning process a systematic nature, as a holistic education, consisting of interconnected elements. The elements in this case are the components of the educational process. It can be seen that the methodological system is closely related to the concept of methodology. The methodical system uses the conceptual apparatus of the methodology. The article presents the results of a study on the methodological system of teaching computer science at a university. The points of view of researchers on the development of this problem are analyzed. The main components of the proposed methodological system are highlighted and characterized.
데이터 리터러시를 활용한 소프트웨어 교육이 중학생의 컴퓨팅 사고력과 창의적 문제해결력에 미치는 영향

With the advent of the 4th Industrial Revolution, the human resources needed by society are not simply memorizing a lot of knowledge, but people who can discover new problems and solve them creatively and efficiently through collaboration with other people. In addition, it can be seen as a Big Data society nowadays in which decisions are made based on data and society is improved through this, so new talents should have the ability to collect and understand data related to problem solving and analyze the necessary information. In the new 2015 revised curriculum, software education was reinforced in order to develop software-based problem-solving capabilities for elementary, middle, and high school (K-12) students in line with the 4th Industrial Revolution. However, current software education centers around programming such as coding, and data literacy, the first step in solving problems, has been considered less important. Therefore, in this study, the effect of software education including data literacy on the computing thinking ability and the creative problem-solving ability of middle school students was analyzed. For this research, a software class including data literacy was designed and applied based on the CT-CPS model. For the verification of this study, first-year middle school students were divided into a control group and an experimental group. Further, a class that did not include data literacy was applied to the control group, and a class that included data literacy was applied to the experimental group. As a result of the experiment, it was verified that software education including data literacy has a statistically significant effect on improving the computing thinking ability and the creative problem-solving ability of middle school students.
RITATOON MEDIA DEVELOPMENT USING THE POE MODEL TO UNDERSTAND ADVICE SENTENCES

Based on pre-research in class III SDN Cangkiran 01 it was found that there were no suitable learning media and learningmodels. So it was been an impact on the low learning outcomes to understand the suggestion sentence. This study aims todevelop learning media, assess the feasibility and effectiveness of ritatoon media using POE model class III SDNCangkiran 01. The method which had been used in this research was Sugiyono Research and Development (R&amp;D) whichconsists of potential and problem stages, data collection, product design, design validation, design revisions, product trials,product revisions, and usage trials. The subjects of this study were grade III students at SDN Cangkiran 01. Data collectiontechniques used observation, interviews, documentation, questionnaires, and tests. Data analysis techniques were usingproduct feasibility, initial and final data analysis (t-test and N-gain test). The results of the ritatoon media feasibility testthat is from media experts get a percentage of 93% and the assessment of material experts get a percentage of 93%.Ritatoon media effectively used in accordance with the results of the t-test showed t arithmetic&gt; t table (12,741&gt; 2,021),then Ho was rejected and the pretest and posttest gain the result which was 0.62 with criteria that support the effectivenessof instructional media . The results of the questionnaire responses of teachers and students showed a very positive answerthat makes learning media was more effective in its users.
Integration of SQL Modelling and Graph Representations to Disaggregated Human Activity Data for Effective Knowledge Extraction

With high migration of technology to smart living attributes such as smart homes, smart devices, automatic appliances, and activity trackers, and etc, the data processing and analysing are much needed to get the high outcomes with less power usage and clear understanding of usage information. For this multiple author were proposed different ways and even we proposed an effective disaggregated data modelling for behavioural analytics using distributed architectures. Where implementing distributed architecture is first time in the industry, our model has lot of advantages including, high availability, security to data stored and can achieve high speed of huge number data storage and processing with easy integration of open source technologies. In this paper, we are implementing a model for activity labelling based on human actions and enhancing our earlier research model with interfacing the SQL models like Apache Hive and Google Big Query for easy processing with simples queries and making processing and analysing to reach more users with less efforts along with development of effective pictorial representations of resultant data with graph models built by PHP libraries.
한국어교육을 위한 연결 어미 ‘-아/어서야’의 기술 방안 연구 - 수사 의문문 용법을 중심으로 -

This study aims to clarify the characteristic of the connective ending “-아/어서야” when used as a rhetorical question and suggest description methods for Korean education. To achieve this, the definition of “-아/어서야” is analyzed, and the usage of “-아/어 서야” in rhetorical questions are classified into “-아서야 되겠-” and the premise “-아서야” to reveal syntactic and semantic characteristics. The study shows that the variation of the “-아서야 되겠-” sentence structure and the combination of pre-final endings related to tenses are not possible, and semantically, the preceding clauses are inappropriate and it should not be executed. Secondly, regarding the premise “-아서야”, combining with pre-final endings related to the tenses is not possible, and only the verb can be used as a predicate in the following clauses. Semantically, this implies that when a preceding clause is executed, the following clause cannot be used. Based on the analysis, this study, using a simple and clear meta language when describing the meaning and suggesting similar grammar examples to help learners understand, asserts that the description of “-아/어서야” in Korean education should be divided into “-아서야 되겠-” and the premise “-아 서야”. Also, suggestions to schematize sentence structures and to present various examples are made.(Kyung Hee University)
Penggunaan Aplikasi Zoom Meeting Dalam Pembelajaran Agama Hindu Pada Masa Pandemi COVID-19

Education is an effort to prepare human resources who have the expertise and skills to build the nation and state. In teacher education has an important role in shaping the behavior and character of students as a whole and comprehensively. But in reality at this time some teachers are required to be able to transfer their knowledge via the internet using the sophistication of applications caused by the COVID-19 pandemic. Zoom Clouds is an online meeting application with the concept of screen sharing. This application allows users to meet face to face with many participants. not only on a PC or laptop, this application can also be downloaded on a smartphone, which in this case many students have. The learning process based on e-learning students need supporting facilities and infrastructure so that learning can take place and have a better quality of learning (Rustiani, et al., 2019). The facilities and infrastructure include smartphones (smart phones), computers / laptops, applications, and internet networks that are used as media in e-learning-based learning. The purpose of this article is to get information about how to use the zoom meeting application in Hindu religious learning during the Covid-19 pandemic, which requires online learning (online) in order to carry out social distancing. The zoom meeting application is very helpful in the online learning process resulting from the Covid-19 pandemic, but this application also has advantages and disadvantages in its use.- The advantages are 1) Large space capacity, 2) good photo and sound quality, 3) various attractive features available 4) support for presentations 5) video on / off feature, 6) available in various devices.- The drawbacks are 1) not available in Indonesian, 2) wasteful of quotas,3) less secure.
Stego Networks: Information Hiding on Deep Neural Networks

The best way of keeping a secret is to pretend there is not one. In this spirit, a class of techniques called steganography aims to hide secret messages on various media leaving as little detectable trace as possible. This paper considers neural networks as novel steganographic cover media, which we call stego networks, that can be used to hide one's secret messages. Although there have been numerous attempts to hide information in the output of neural networks, techniques for hiding information in the neural network parameters themselves have not been actively studied in the literature. The widespread use of deep learning models in various cloud computing platforms and millions of mobile devices as of today implies the importance of safety issues regarding stego networks among deep learning researchers and practitioners. In response, this paper presents the advantages of stego networks over other types of stego media in terms of security and capacity. We provide observations that the fraction bits of some typical network parameters in a floating-point representation tend to follow uniform distributions and explain how it can help a secret sender to encrypt messages that are indistinguishable from the original content. We demonstrate that network parameters can embed a large amount of secret information. Even the most significant fraction bits can be used for hiding secrets without inducing noticeable performance degradation while making it significantly hard to remove secrets by perturbing insignificant bits. Finally, we discuss possible use cases of stego networks and methods to detect or remove secrets from stego networks.
Role of Attentive History Selection in Conversational Information Seeking.

The rise of intelligent assistant systems like Siri and Alexa have led to the emergence of Conversational Search, a research track of Information Retrieval (IR) that involves interactive and iterative information-seeking user-system dialog. Recently released OR-QuAC and TCAsT19 datasets narrow their research focus on the retrieval aspect of conversational search i.e. fetching the relevant documents (passages) from a large collection using the conversational search history. Currently proposed models for these datasets incorporate history in retrieval by appending the last N turns to the current question before encoding. We propose to use another history selection approach that dynamically selects and weighs history turns using the attention mechanism for question embedding. The novelty of our approach lies in experimenting with soft attention-based history selection approach in an open-retrieval setting.
Fully Automated Traffic Sign Substitution in Real-World Images for Large-Scale Data Augmentation.

Video-based traffic sign recognition is a key ability of autonomous vehicles but a demanding challenge due to the enormous number of classes and natural conditions in the wild. We address this problem with a fully automatic close-to-life image-to-image translation technique for traffic sign substitution in natural images (cf. Fig. 1). The work is intended as data augmentation technique and allows for training rare or unavailable traffic sign classes, or otherwise uncommon cases in visual traffic sign detection and classification. To this end, we extend our previous data generation model [1] and propose a rendering pipeline to create convincing traffic sign images with realistic background and camera recording artifacts. Experiments are conducted by exchanging traffic sign classes on different parts of the German Traffic Sign Recognition Benchmark (GTSRB) [2]. We demonstrate that the pipeline is well-suited for generating representative images of unseen traffic sign classes. A baseline image classification setup trained on real data shows an overall performance similar to being trained with a comparable number of artificial data samples. Our code is made publicly available under an open source license.
Improving Students Vocabulary by Using Song Lyrics at Seventh Grade Students at SMP N 1 Beringin Lubuk Pakam 2020

This research investigated improving students' vocabulary by using song lyrics, an action of the study conducted in a classroom to increase the quality of teaching practices by Arikunto. Therefore, this research purposed to solve the problems in the teaching-learning of English by listening skill. The study 3zthat was the seventh-grade students of SMP N 1 Beringin Lubuk Pakam consisting of 31 students, four males, and 27 females. The method is interview guide, and test, to acquire the data, the research used of the instrument of this research was test; song sheets (lyric) were given the test, and actions. The test consisted of 55 items of filling in the missing words in the poems on test papers. The data was collected through examination and observation. In contrast, the statement was made to know the students' attitude (qualitative data) during information research meanwhile, and the quantitative data was taken from the students' score in the test. Students got a mean score of 45,73, and they got 83,14. It shows that the student's vocabulary in listening skill has improved in each that test although didn't assess score. The use of song lyric could improve the student's vocabulary in listening skill. And it was a successful effort, but it still needed the treatment of suitable song activity to get the higher score.