Reviewerly/exHarmony huggingface dataset:
PKM bahan ajar berbasis web bagi guru di Pancana Kabupaten Barru

Web-based teaching material is a learning that can be accessed through the internet network. Popular web-based learning as web-based traning (WBT) or sometimes also called web-based education (WBE) can be defined as a web technology application in the world of learning for an educational process offered in web-based learning is speed and is not limited to space and time to access information. Learning activities can be easily done by teachers and students anytime and anywhere. As long as the computers are connected to the internet network will make it easy for anyone to get information. How to learn through the web the main requirements that must be met are access to sources of information via the internet. Furthermore, there is information about where the source of information that we want to get. There are several data sources that can be accessed freely and for free, without a complicated administrative access process. There are several sources of information that are only accessed by parties who have been authorized by the owner of the information source. Web-based learning is one type of application of electronic learning (e-learning). E-learning learning is a process and activity of implementing web-based learning, computer-based learning, virtual classrooms, and digital classes. Based on the identification of the results of the study it can be concluded that the purpose of the implementation of e-learning web-based teaching materials in SMK Negeri 2 Barru has not been achieved and has not gone well. Seen from the many problems that occur in the implementation process, both in terms of HR, Material and Infrastructure, in fact there are still many obstacles faced. The Barru City Education and Culture Office's policy on improving access to quality 12-year primary and secondary education has not been achieved at SMK Negeri 2 Barru. Implementation of e-learning can provide convenience for both teachers and students in learning within the school environment and outside the school environment.
『그들이 본 우리』를 통해 바라본 한국문화 인식 - 개화기 서양인 선교사를 중심으로

This study aims to analyze the memoirs of Western missionaries in the 19th and 20th centuries, when the culture has changed dramatically, and supplement the records of Korean culture in the past. In this study analyzed the common cultural perception of 『Korean Heritage Books』 Western missionaries.This study focuses on Western missionaries, but interpreted the cultural perspective that was universalized compared to other non-missionary occupations. In particular, religion and religious views are analyzed intensively in the culture to focus on Western missionaries. As a result of the analysis, it was concluded that Western missionaries negatively recognized Korean culture, unlike existing researchers. This study is significant because we were able to know about the Korean culture during the period of enlightenment, which was not seen from the standpoint of Koreans.(Busan University of Foreign Studies)
Scale-Adv: A Joint Attack on Image-Scaling and Machine Learning Classifiers.

As real-world images come in varying sizes, the machine learning model is part of a larger system that includes an upstream image scaling algorithm. In this system, the model and the scaling algorithm have become attractive targets for numerous attacks, such as adversarial examples and the recent image-scaling attack. In response to these attacks, researchers have developed defense approaches that are tailored to attacks at each processing stage. As these defenses are developed in isolation, their underlying assumptions become questionable when viewing them from the perspective of an end-to-end machine learning system. In this paper, we investigate whether defenses against scaling attacks and adversarial examples are still robust when an adversary targets the entire machine learning system. In particular, we propose Scale-Adv, a novel attack framework that jointly targets the image-scaling and classification stages. This framework packs several novel techniques, including novel representations of the scaling defenses. It also defines two integrations that allow for attacking the machine learning system pipeline in the white-box and black-box settings. Based on this framework, we evaluate cutting-edge defenses at each processing stage. For scaling attacks, we show that Scale-Adv can evade four out of five state-of-the-art defenses by incorporating adversarial examples. For classification, we show that Scale-Adv can significantly improve the performance of machine learning attacks by leveraging weaknesses in the scaling algorithm. We empirically observe that Scale-Adv can produce adversarial examples with less perturbation and higher confidence than vanilla black-box and white-box attacks. We further demonstrate the transferability of Scale-Adv on a commercial online API.
IPA 분석법을 활용한 비대면 동영상 강의 만족도 제고 방안 연구

PurposeThe purpose of this study is to present the direction of efficient e-learning education through the importance and satisfaction survey of learners of non-face-to-face video lectures. Therefore, by grasping the degree of satisfaction of the importance ratio through the IPA analysis method, we try to present improvement measures for insufficient education methods.Design/methodology/approachFor IPA analysis, we conducted an online survey of four universities and analyzed 154 samples. The analysis method used SPSS, and through the wordcloud analysis method of R, the suggestions for the non-face-to-face lecture method felt by learners were analyzed to derive implications for improving the quality of education.FindingsAs a result of the overall satisfaction survey for the entire non-face-to-face class, the factors with the greatest dissatisfaction are listed as follows. Complaints about the adequacy of learning materials and activities (quiz, discussion, assignments, etc.), Complaints about how to use the produced content, and complaints about announcements about class management (lecture schedule, lecture method) were identified in order. The factors of dissatisfaction were clear in the non-face-to-face class where interactive communication was impossible or insufficient. In addition to the lack of quick Q&A, there seems to have been a phenomenon of some neglect.
PEMBELAJARAN KETERAMPILAN BERBAHASA DALAM KURIKULUM 2013 SEKOLAH DASAR

This paper discusses theoretically practically related to learning Indonesian language skills in elementary school in the 2013 Curriculum study. The method used in the preparation of this paper is a reference study, a study of literature from various sources that are considered relevant to the objectives to be achieved. The results obtained that the role of Indonesian language subjects became dominant, namely as a channel that delivers the material content of all sources of competence to students. Indonesian language subjects are placed as defenders of other subjects. Language learning in the 2013 curriculum based on text brings methodological implications to gradual learning.
The Digital Future of the Media: a Systems Theory Perspective

Digitalization is affecting all systems of modern society. The media system, one of the core system that serves to observe all other systems, is playing a special role in this process: it was one of the first that underwent a dramatic transformation due to the application of digital technologies on all levels and in all phases of production, distribution and consumption of information. Furthermore, as a result of its special role in society, this transformation of the media system also affects how we deal with the digitalization of our societies on a very general level. This article discusses three basic elements of digitalization that help us better understand this deep-going impact of digital media in society. First, it looks into the technical foundation of digitization to recognize how far-reaching the current digitalization processes are. Second, the consequences of the new digital paradigm for information distribution – with a particular focus on social media and the emergence of new platform-based intermediaries – and the role of data as a medium of interaction are discussed. One main conclusion is that traditional ways of analysing current societies need an update, as digitization is opening up completely new ways of interaction in and between subsystems of society.
Dataset Inference: Ownership Resolution in Machine Learning

With increasingly more data and computation involved in their training, machine learning models constitute valuable intellectual property. This has spurred interest in model stealing, which is made more practical by advances in learning with partial, little, or no supervision. Existing defenses focus on inserting unique watermarks in a model's decision surface, but this is insufficient: the watermarks are not sampled from the training distribution and thus are not always preserved during model stealing. In this paper, we make the key observation that knowledge contained in the stolen model's training set is what is common to all stolen copies. The adversary's goal, irrespective of the attack employed, is always to extract this knowledge or its by-products. This gives the original model's owner a strong advantage over the adversary: model owners have access to the original training data. We thus introduce $dataset$ $inference$, the process of identifying whether a suspected model copy has private knowledge from the original model's dataset, as a defense against model stealing. We develop an approach for dataset inference that combines statistical testing with the ability to estimate the distance of multiple data points to the decision boundary. Our experiments on CIFAR10, SVHN, CIFAR100 and ImageNet show that model owners can claim with confidence greater than 99% that their model (or dataset as a matter of fact) was stolen, despite only exposing 50 of the stolen model's training points. Dataset inference defends against state-of-the-art attacks even when the adversary is adaptive. Unlike prior work, it does not require retraining or overfitting the defended model.
ANALISIS PERIBAHASA BARU YANG MUNCUL DI INTERNET (浅析网络新成语)

Information in internet not only brought profound changes to people's daily life, but also had a huge impact on modern Chinese. The new idiom appears recently in internet become the new darling of the young daily interactions. Its popularity worthy of our study, its development and innovation are worth learning from. We can get a comprehensive undertanding of this new idioms by analysis its composition and origin, and by compare it with the traditional idioms, four-letter word idioms, and acronyms. The analysis of the new idioms that appears in internet can make people rethinking about the standarization of language and its influence to the development of modern Chinese.
When Non-Elitism Meets Time-Linkage Problems

Many real-world applications have the time-linkage property, and the only theoretical analysis is recently given by Zheng, et al. (TEVC 2021) on their proposed time-linkage OneMax problem, OneMax$_{(0,1^n)}$. However, only two elitist algorithms (1+1)EA and ($\mu$+1)EA are analyzed, and it is unknown whether the non-elitism mechanism could help to escape the local optima existed in OneMax$_{(0,1^n)}$. In general, there are few theoretical results on the benefits of the non-elitism in evolutionary algorithms. In this work, we analyze on the influence of the non-elitism via comparing the performance of the elitist (1+$\lambda$)EA and its non-elitist counterpart (1,$\lambda$)EA. We prove that with probability $1-o(1)$ (1+$\lambda$)EA will get stuck in the local optima and cannot find the global optimum, but with probability $1$, (1,$\lambda$)EA can reach the global optimum and its expected runtime is $O(n^{3+c}\log n)$ with $\lambda=c \log_{\frac{e}{e-1}} n$ for the constant $c\ge 1$. Noting that a smaller offspring size is helpful for escaping from the local optima, we further resort to the compact genetic algorithm where only two individuals are sampled to update the probabilistic model, and prove its expected runtime of $O(n^3\log n)$. Our computational experiments also verify the efficiency of the two non-elitist algorithms.
On the importance of Pseudo-Labeling for Generalized Zero-Shot Semantic Segmentation

Deep convolutional neural networks are one of the most powerful algorithms for understanding image content. Among their achievements, these networks have shown to be very effective in addressing the semantic segmentation problem, the goal of which is to assign the correct semantic label to each pixel in the image. However, having a full pixel-wise annotation to train these models in a supervised way is unlikely in the reality, both because of the burden of the pixel-wise annotation process and the high variety of existing concepts that cannot be captured by a single training set. To sidestep these issues, researchers have explored the Generalized Zero-Shot Learning (GZSL) scenario, that is building models able to assign pixels to both training classes (seen) and classes with no labeled pixels available at training time (unseen), using side-information capturing seen and unseen classes relationships in a given semantic space. Previous works address the task as a visual to semantic embedding problem by learning how to map pixels of seen classes to the semantic space. This has two main drawbacks: first, such models tend to assign pixels to one of the classes they know better, i.e. the seen classes; then, they also ignore that unseen classes can co-occur with seen ones in the training images. In this thesis, we argue, and experimentally demonstrate, that it is crucial to model this co-occurrence in order to effectively address the GZSL problem. Our idea is to capture useful latent information on unseen classes by supervising the model with self-produced pseudo-labels for unlabeled pixels. Motivated by this, (a) several strategies of hard and soft pseudo-labeling are proposed; (b) the impact of an additional entropy regularization term computed on the pseudo labels is analyzed; (c) objectness refinement methods are integrated to refine the pseudo-labels. We test our strategy on Pascal-VOC12 and COCO-stuff datasets, where it largely surpasses the state of the art, without requiring additional penalties to reduce the bias on seen classes.
Model Regresi Cox Weibull Dengan Metode Penaksiran Parameter Efron Partial Likelihood

Survival analysis is an analysis that involves statistical tests to analyze data on the time or length of time until the occurrence of a particular event. One regression model for time duration data modeling is the Cox PH regression model. Cox PH regression applied to time duration data with Weibull distribution is called Cox PH Weibull regression. The purpose of this study is to obtain a Cox PH Weibull regression model and determine the factors that influence the length of treatment for tuberculosis patients. The parameter estimation in this study is Efron partial likelihood method. The Efron partial likelihood method is suitable for estimating Cox PH regression parameters to data containing ties. Based on the results of parameter estimation the best model is obtained by using  AIC crtiteria. Based on the partial test,  age is factor that influence to the length of treatment. The results of the study show that every increasing age patient one year, then length of treatment until the patient recovered, will increas 1,024 times.
An Analysis on the Subject-Verb Agreement Errors in Speaking Performance Made by the Second Year Students of English Department Students of UNP

This research aimed at identifying the subject-verb agreement errors in students’ speaking performance, finding out mostly the types of errors in applying the subject-verb agreement also finding out the source of errors made by the second-year students of English department of UNP. This research applied a descriptive qualitative research design with 28 students who participated in this study. The data of the research were collected through a test instrument. The test instrument covers a speaking test in a report form. All of the errors that were identified in subject-verb agreement were analyzing by using Surface Strategy Taxonomy introduced by Dulay et,al. the result of data analysis showed that the students contributed into four types of errors in subject-verb agreement’s term, they are (1) omission (38 errors / 25 %), (2) addition (47 errors / 27%). (3) misformation ( 76 / 45%), (4) misordering (10 errors / 6%). Furthermore, the research also found the sources of errors made by the students during his/her speaking report test, the frequent sources of errors are Intralingual transfer there are totally (100 errors / 57%), Interlingual transfer (45 errors / 25%), communication strategy ( 17 errors / 10 %) and the last one is context of learning ( 14 errors / 8%)
Rethinking the Role of Circulation Staff in Academic Libraries

The traditional functions of Access Services shrink as many academic libraries see physical circulation rates continue to decline, but the need for staff trained in customer service skills does not diminish. This column reflects on how one academic Access Services department partnered internally with other library departments to expand our definitions of who we serve and find new ways to prove our value to the library. Other academic libraries may find inspiration to rethink old habits, forge new connections, and determine what success looks like.
Enhance Decision Support Systems Method of Measure Student Levels and Attitude Cigarette Danger for Health Based on AHP

This paper described about study determining the criteria in determining criteria and alternatives for student level knowledge of the dangers of smoking to health by the use of decision support systems so that it is easier to determine criteria by using selection methods that make it easy to obtain information on a system built to manage data- data so as to make it easy for users and can produce clear and accurate information and can produce reports that are expected to help teachers, and principals in making and making the right decisions later.
Research Guides: 2021 University/College Library Student Research Symposium: Poster Rubric

Welcome to the University/College Library Student Research Symposium, hosted by the Broward College Libraries
The Impact of the Absence of the Role of Political Parties on Organizational Justice Among Workers in the Jordanian Government's Departments (A Field Study)

The study aimed to clarify the administrative staff perspective in Al Karak governorate regarding the relation between organizational justice and political parties in Jordan by measuring the political parties' role absence effect on organizational justice in the administrative departments, data was collected and distributed to the sample members, (600) individuals. The Statistical Package for Social Sciences (SPSS) was used to analyze the questionnaire data based on the arithmetic averages. The study reached a set of results, the most prominent of which are:1. The numbers level of individuals in the study sample for organizational justice is high, reaching (3.2449), due to the availability of objective criteria for evaluating performance, and providing the information required by the work.2. The level of the job satisfaction variable is low for the study population, as it reached (2.7303).3. There is an inverse statistical relationship between the dimensions of the organizational justice variable combined as a dependent variable and the absence of the role of political parties as an independent variable.4. There is a statistically significant relation between the absence of the role of political parties and organizational justice.5. The study reached a set of recommendations, the most prominent of which is enhancing organizational justice prevailing in the surveyed departments and that these departments show solid base for such strengthening.6. The issuance of legislation allowing the political and party organization process, with the right of employees and administrators to join such parties in Jordan without facing any legal harassment.
Nonsingularity of Feedback Shift Registers of Degree at Most Three over a Finite Field

As a kind of generators of pseudorandom sequences, the Feedback shift register (FSR) is widely used in channel coding, cryptography and digital communication. A necessary and sufficient condition for the nonsingularity of a feedback shift register of degree at most three over a finite field is established. Using the above result, we can easily determine the nonsingularity of a feedback shift register from the algebraic normal form of the corresponding feedback function.
Using Animations to Teach String Matching Effectively

String matching is to find a substring in a string. The algorithms commonly used for finding a matching are the brute-force algorithm, Boyer-Moore algorithm, and Knuth-Morris-Pratt algorithm. The b...
PROPOSED FRAMEWORK FOR THE USE OF COST-BENEFIT ANALYSIS IN LITERACY PROGRAMS TO SUPPORT SUSTAINABLE DEVELOPMENT

The study aimed to develop a proposed framework for the use of cost-benefit analysis in literacy programs to support sustainable development. In light of the interest in eradicating illiteracy, through the design of a system to manage the costs and returns of literacy programs that identify and measure the costs of these programs and helps to measure the return and economic return, which benefits the student and society. The study relied on the deductive and inductive approach, which is based on the collection and analysis of data and the use of statistical and mathematical methods appropriate to the nature of the data related to the problem of the study. The descriptive analysis method was used through a survey that included three questions distributed to the staff of the General Authority for Adult Education for 385 surveys. The study shows that there is a statistically significant relationship between the cost of literacy and the cost of literacy programs. It also shows a statistically significant relationship between the return of literacy programs and achieving the indicators of sustainable development. Cost-benefit analysis in literacy programs to support sustainable development. This system accurately shows the costs of literacy programs for each program as well as measures the returns from each program through the management of the costs and returns of literacy programs at the General Authority for Adult Educatio Keynote Speeches: Costs of literacy programs - strategic planning - sustainable development
APLIKASI PENGELOLAAN DATA ALUMNI BERBASIS WEB PADA STMIK AKAKOM MENGGUNAKAN METODE WATERFALL

The Alumni and Akakom Career Center (ACC) of STMIK Akakom is tasked with managing alumni and career data of the alumni. The implementation of ACC activities in the tracer study was carried out on a computerized basis using google forms which would then be downloaded in the form of excell to produce reports. The purpose of this research is to develop a web-based STMIK AKAKOM alumni data management application with the waterfall method that can be used by the Alumni Section and Akakom Career Center to manage tracer study data. The scope of the research includes the management of alumni data collection as a means of evaluation and reporting to the leadership or as an accreditation instrument of PT. Data collection techniques include observation, documentation and interviews. There are 3 (three) entities involved in this system, namely the ACC, Management and Alumni Sections, each of whom has access rights to log into the system. Data processed in the system includes survey name data, alumni data, alumni survey question data and alumni answer data. The application system for tracer study generated is web-based with the waterfall method.