Reviewerly/exHarmony huggingface dataset:
You Shouldn't Trust Me: Learning Models Which Conceal Unfairness from Multiple Explanation Methods.

Transparency of algorithmic systems is an important area of research, which has been discussed as a way for end-users and regulators to develop appropriate trust in machine learning models. One popular approach, LIME [23], even suggests that model expla- nations can answer the question “Why should I trust you?”. Here we show a straightforward method for modifying a pre-trained model to manipulate the output of many popular feature importance explana- tion methods with little change in accuracy, thus demonstrating the danger of trusting such explanation methods. We show how this ex- planation attack can mask a model’s discriminatory use of a sensitive feature, raising strong concerns about using such explanation meth- ods to check fairness of a model.
Digital educational platform: problems and solutions

Distance learning is widely used today in schools, secondary vocational education, and higher education.It has both positive and negative aspects, the latter of which are often due to shortcomings in its organization.This article identifies some disadvantages of distance learning and suggests an approach to the organization of digital educational platforms that allows you to neutralize the negative aspects of distance learning
The Effect Of Reading Strategy And Personality On Efl Students’ Reading Comprehension at STIE TRIBUANA

By interviewing four students at the Manajement Study Program in STIE Tribuana, the researcher found that the students face some problems when reading English texts. The problems found were important to be investigated because students’ reading comprehension play an essential part to improve their English ability from reading text. This research was conducted at STIE Tribuana. This research used descriptive quantitative approach. The respondents were divided into two groups: experimental group and comparison group. The experimental group was treated by using PQ4R strategy while comparison group was treated using CSR strategy. Each group consisted of 14 extroverted students and introverted students. The data were collected using reading test (35 items in the form of multiple choice) and personality questionnaire. The result revealed that there was no significant difference between students who use PQ4R and those who use Collaborative Strategic Reading (CSR) on their reading comprehension. The second one was there was no a significant difference between introverted students and extroverted students on their reading comprehension. The last one was that there was no a significant interaction between reading strategy and personality in their effect on students’ reading comprehension.&#x0D;
Clustering Data National Examinations based on Social Media Using K-Means Methods

The development of social media as a source of data is now increasingly interesting to study. The social media studied in this research is Twitter. Twitter as one of the top-ranked social media among social media accessed by the people of Indonesia. People's behavior can be learned by collecting and processing data, one of which is people's sentiments or opinions about national examinations in Indonesia. Twitter user behavior in the form of their comments about the national exam in Indonesia. This study aims to analyze the public sentiments of social media users about the National Examination in Indonesia. Data is retrieved by crawling data via the Twitter API. The data needs to be preprocessed first and feature extracted using TF-IDF. However, because the text data on Twitter is unstructured and very diverse data (variety), the grouping stage must be done first. Grouping technique using K-Means Clustering on Spark. Spark clustering techniques are used to overcome the grouping of data on very large and complex amounts of data. From the clustering process using Spark it was found that the grouping process resulted in 3 clusters where elbow detection was found in the third cluster of the number of clusters between 2 and 50. The results of clustering in the form of 3 large groups were further processed (with classification techniques) to get a positive or negative sentiment comparison of social media user comments about the national exam. Furthermore, these results become recommendations and new knowledge about community behavior regarding Social Media-based National Exams.Keywords — clustering; sentiment analysis; National exam; social media, K-Means
PEDAGOGICAL CONDITIONS FOR THE FORMATION OF PROFESSIONAL COMPETENCE OF FUTURE BACHELORS IN CONSTRUCTION AND CIVIL ENGINEERING

The article is devoted to the coverage of priority basic pedagogical conditions for the formation of professional and vocational competencies of future bachelors of construction and civil engineering. The requirements for a modern specialist focused on the current labor market, scientific and technological progress, innovation and international cooperation are highlighted. The modern specialist must be ready for new challenges, be able to adapt quickly to scientific and technological progress and have innovative technologies in his/her professional activity. The article analyzes the pedagogical, psychological and philosophical literature and reveals the meaning of the concept "condition" and "pedagogical conditions". The term "conditions" is interpreted as certain circumstances, condition or environment, and "pedagogical conditions" – as circumstances, as components of the pedagogical system: content, methods, forms, tools, technologies that ensure the successful achievement of the goal and effectiveness of the educational process. The vision of leading teachers on pedagogical conditions in the field of vocational education is highlighted. The basic pedagogical conditions such as: formation of motivation, introduction of effective methods and technologies of training, integrative approach to formation of the maintenance of professional and professionally-oriented disciplines, modernization of educational process are singled out. The article offers its own vision of the basic pedagogical conditions for the training of future bachelors of construction and civil engineering and highlights the priorities. Taking into account such pedagogical conditions as motivation, providing professional competence through the content of professionally-oriented and fundamental disciplines, application of innovative pedagogical teaching technologies, introduction of effective methods, techniques and innovations in the educational process is the basis of fundamental professional training of future competitive specialists.
Pengenalan Karakter Optis untuk Pencatatan Meter Air dengan Long Short Term Memory Recurrent Neural Network

Clean water service providers in Indonesia are still recording water meters as water usage data with manual recording by record collector. Alternative solutions for recording water meters from previous research use the Internet of Things (IoT) or image recognition that is processed on a server. The solutions rely on the Internet which is unsuitable with Indonesia’s condition. This study proposes a water meter reading system that can work on mobile devices without using the Internet. The system works by utilizing optical character recognition (OCR) using the Long Short Term Memory Recurrent Neural Network (LSTM-RNN) method. LSTM-RNN is a classification method in artificial neural network which has feedback. The results show that the water meter reading system could work without using an Internet connection. The average time it takes to perform the reading process is 2285ms even on Android device with low specification. The overall reading accuracy is 86%. Single value reading accuracy, when the digit meter displays only 1 number, is 97%, while the accuracy of double value reading, when the digit meter displays 2 numbers, is 18%.
Attack vectors on supervised machine learning systems in business applications

Machine learning systems have become incredibly popular and now have practical applications in many fields.An area of business applications has been developing particularly well, starting from the prediction of customers' purchase preferences and up to the automation of critical business processes.In this context, the security of such systems in a situation of a threat of intentional attacks carried by organized crime is extremely important.A theoretical framework of attacks on supervised machine learning systems, which are the most popular in business applications, is set out in this article.The possible attack vectors are widely discussed.The main contribution of this article is to recognize that the black box type attack scenario is the most probable, therefore the scenario of this kind of attacks was described extensively.
Implicit emotional tendency recognition based on disconnected recurrent neural networks

Implicit emotional tendency recognition is a challenging task, for the patterns of implicit emotional sentences have no obvious sentiment words or privative words. Currently, deep learning approaches have shown a huge potential for this problem. This paper proposes a hierarchical disconnected recurrent neural network to overcome the problem of the lack of emotional information in implicit sentiment sentence recognition. The proposed network first encodes both words and characters in implicit sentiment sentence by using the disconnected recurrent neural network and then fuses the context information of this sentence through the hierarchical structure. The capsule network is adopted to construct different fine-grained context information for extracting high-level feature information and provide additional semantic information for emotion recognition by using the context information. This approach improves the accuracy in implicit emotion recognition. Experimental results prove that the proposed model outperform various current mainstream models. The F1 of ours reaches 81.5%, which is 2%-3% higher than those of the current mainstream models.
Educational implications of 'six thinking hats'

Modern education is increasingly linked to market principles. On the one hand, proponents of this approach emphasize the need to develop an entrepreneurial mindset, while critics point out that this approach neglects the humanistic dimension of education. The goal of the paper is to set up a "six thinking hats" learning model as a way to encourage the development of creative thinking. Although its primary use is in non-formal education (creative training and interactive workshops), this model also has its application within the academic community. Within formal education, the authors advocate the possibility to widespread the application of this model, technique, or role-playing game as it is called by different authors, which points to the pluralism of approaches. Also, the analysis of the studied literature revealed the application of the model at different levels of education. In conclusion, it is stated that although it is not a conventional and widely accepted model, it can be a good way to foster creative and entrepreneurial thinking. The application of this model is recommended for teachers who find the traditional approach to teaching rigid and who are ready for changes that involve a more active pupil/student role.
PENERAPAN KOMBINASI METODE VIGENERE CIPHER, CAESAR CIPHER DAN SIMBOL BACA DALAM MENGAMANKAN PESAN

The concept that an important information cannot be known by parties who don’t have rights can be done by making the confidentiality of data using cryptography. Safety in vigenere ciphers depends on the number of keys used, the more the number of keys, the wider the key space. While caesar cipher or often also called caesar code is a classic coding system based on simple substitution. This study uses a combination of Vigenere Cipher and Caesar Cipher algorithms so that the security of the contents of the message is protected stronger and safer so that if the message sent is tapped by someone who is not responsible then the hijacker has difficulty knowing contents of the message. So that the confidentiality and authenticity of message is up to the recipient In this study successfully implemented both methods and has an output in the form of a reading symbol, not letters.&#x0D;
PROSPECTS FOR USING FLUTTER WITH THE UNITY3D AR FOUNDATION TO CREATE A HIGH-PERFORMANCE MOBILE APP UI FOR BOTH ANDROID AND IOS OPERATING SYSTEMS

There are already about five billion smartphones in the world, according to various estimates, up to 80% of them use the Android operating system, and less than 20% – iOS. Still, each country has its own characteristics, so in the United States, more than 65% of smartphones run on iOS. When creating mobile apps, you most often need to release versions on both iOS and Android. To do this, you can turn to native or cross-platform («hybrid») development. Native development is a classic solution that requires writing applications for each platform separately, using different languagesand taking into account the features of each platform. When creating multiple versions, multiple teams work on a project at the same time. Thanks to cross-platform frameworks, it is now possible to prepare versions for both iOS and Android using a single tool. Frameworks are particularly widespread: - React Native from Facebook (for iOS, Android and Windows apps, uses the JavaScript language and library React.js as the main development tool). - Google's Flutter for Android, IOS, and Fuchsia apps (uses the Dart language, which is also used for web programming). The cross platform mobile application is based on the use of augmented reality technology . With its help, users on the screen of a mobile device will be able to see the surroundingspace with a virtual layer superimposed on it, which will be marked with a variety of information labels associated with real space objects.
Penerapan Algoritma K-Means dalam Proses Clustering Penilaian Kinerja Aparatur Sipil Negera di Sekretariat DPRD Pematangsiantar

This study discusses the assessment of the performance of the ASN (State Civil Apparatus) in the Pematangsiantar DPRD Secretariat based on the quality of its work. In carrying out their performance, emoployess are still often truant and have a poor work ethic.In this case the research aims to improve employee welfare. During this time the amount of employee income is only based on the group and position they have. This study uses the K-Means method to classify or classify employee performance quality assessments based on SKP (employee work objectives) with additional income based on work quality assessment and employee behavior.After conducting this research there is a result that in carrying out the performance of employees include Quality, Quantity, Time, Cost of each task activity so as to produce a system capable of assisting the appraisal officer in evaluating the quality of employee performance using the K-Means algorithm as information to find out the employee including very good, enough, and less.
ANALISIS KESALAHAN BERBAHASA PADA KARANGAN DESKRIPSI SISWA KELAS XI SMK YPM 2 TAMAN

This study aims to describe the analysis of analysis of errors in the language description of students class XI smk ypm 2 park.Residered from the aspect of the contents of the essay, has not seen pouring ideas and ideas of students about the nature, images, and the real phenomenon of an object. In this case, the essay of the student can not be used as a means to represent lan gsung object so that the reader can not interpret and feel directly the object in the description. The phenomenon that occurs in learning writing essay writing description of students of class XI SMK YPM 2 Taman Sepanjang that the learning atmosphere of writing essay description less significant changes. Less effective learning atmosphere and fun for students, especially at the time of application of writing the text of the description text. This is stated based on the percentage of the value of writing ability description of the students of class XI SMK YPM 2 Taman Sepanjang. After conducting this research, the use of sentences is not effective in the description of students class XI SMK YPM 2 Park include: (1) the use of ineffective sentences consisting of the subject relationship with predicate, predicate with the object, and also the selection of words that are not appropriate (2) the use of sentences is not efficient, not sparing due to the use of words that have the same purpose, and also the use of unnecessary words, (3) the use of incoherent sentences, said to be unified if the subject and predicate, as well as description of aspects and elements the sentence is not in accordance with the Indonesian sentence pattern, other than that the sentence is not coherent also due to inappropriate relationship between sentences in paragraphs, (4) the use of the sentence is not careful, if the selection of words in the sentence is not in accordance with the intention to be conveyed.
Analysis of Technological Pedagogical Content Knowledge (TPCK) in Higher Education

Information Communication Technology research reflects the degree of integration of digital tools in language teaching. One of the key aspects to digital technologies is that certain technologies have affordances and constraints when designing technology-based learning activities, resulting in classroom technology practices in teaching languages creating a new research area for practitioners and researchers. The present study investigates English teachers’ technological competences and perceptions of using technology, pedagogy, and content in their language classrooms. A survey was applied to gather information about the use of technological tools, the integration of technology, pedagogy, and content in teaching English as well as knowledge about their components. Results revealed that although teachers applied technology in lessons and had knowledge of digital technology, potential learning activities were often overlooked. Teachers were not sufficiently skilled in technology-related knowledge domain. Since English teachers reported difficulty integrating the Technological Pedagogical Content Knowledge framework to plan technology-rich language instructions skillfully, research outcomes suggest that such a framework is needed in training programs. This affords teachers practical opportunities integrate technology into their classroom teaching practices. Ideally, research findings will uncover pedagogical implications and applications for further research.
Semantic Changes in the Meaning of the Word Istinnyj (True) in Scientific Texts

The article deals with the semantics of the adjective istinnyj (true) in scientific texts. Semantic changes of this lexeme were identified in various verified contexts. It is shown that in contexts describing a statement, istinnyj is a metacharacteristic of mathematical, not linguistic, statements (inequalities, functions, etc.). This adjective can have two meanings in contexts describing reality. The first meaning characterizes situations in which the true is hidden consciously or as a result of an error. This use contains an implicit assumption of the existence of some untrue knowledge. The second meaning indicates hidden features, characteristics that need to be made explicit. It is shown that the second meaning in scientific texts can change semantically: such contexts contain an implicit juxtaposition of the true and the calculated/model/averaged. We need to make an implicit assumption about the equality of the true and the empirical in order to properly understand such contexts. This change in the semantics of the lexeme istinnyj takes place as late as in the 1960s. There is no opposition between the calculated and the true in earlier texts. Moreover, there is a juxtaposition of the true and the empirical in some of the earlier contexts. We have to accept the presupposition of the equality of the empirical and the false in order to interpret such contexts properly.
Implementation of generative adversarial networks in HPCC systems using GNN bundle

&lt;span id="docs-internal-guid-8df40bfb-7fff-fcb8-b52f-54f39570d649"&gt;&lt;span&gt;HPCC systems, an open source cluster computing platform for big data analytics consists of generalized neural network bundle with a wide variety of features which can be used for various neural network applications. To enhance the functionality of the bundle, this paper proposes the design and development of generative adversarial networks (GANs) on HPCC systems platform using ECL, a declarative language on which HPCC systems works. GANs have been developed on the HPCC platform by defining the generator and discriminator models separately, and training them by batches in the same epoch. In order to make sure that they train as adversaries, a certain weights transfer methodology was implemented. MNIST dataset which has been used to test the proposed approach has provided satisfactory results. The results obtained were unique images very similar to the MNIST dataset, as it were expected.&lt;/span&gt;&lt;/span&gt;
Developing Student Leadership Readiness, Core Leadership Skills to Enhance Student Engagement through Organization Development Intervention: Action Research at Zhejiang Yuexiu University of Foreign Languages in Zhejiang Province, the People’s Republic of China

Student leadership development has captured increasing concern in the field of education. Leadership plays an integral part in the fulfillment of 21st-century skills, namely, career and life skills, to adapt to the changing circumstances and the need to cultivate talent. The present action research aimed to utilize effective OD interventions to develop students’ leadership readiness and core leadership skills to enhance student engagement in campus-based extracurricular activities in a private university in China. The action research was conducted in three stages: Pre-ODI, ODI, and post-ODI, starting with diagnosing problems in student leadership, followed by planning, intervening, assessing, and reinforcing. For the eight-month OD intervention, the sample consisted of 80 freshmen randomly selected from the student organization. They were categorized into two groups: an experimental group with ODIs and a control group without ODIs. Data were collected by survey questionnaires, one-to-one interviews, and focus group interviews, using qualitative and quantitative research methodology. Results of the Paired Sample T-Test proved that there were statistically significant differences between the experimental group and the control group after ODIs. Students reported significant gains in leadership readiness and core leadership skills. There was a causal relationship among leadership readiness, core leadership skills, and student engagement. The results of the research suggest that purposeful leadership programs should be promoted in the form of offline and online extracurricular activities to cultivate leadership competency beginning with inward leadership and manifesting in outward leadership.