Reviewerly/exHarmony huggingface dataset:
An Image Hiding Algorithm based on Bit Plane and Two-Dimensional Code

An image hiding algorithm based on bit plane and two-dimensional code is proposed in this paper. The main characteristic of information hiding is to use the information redundant data of the existing image, to embed the information into these redundant data by the information hiding algorithm, or to partially replace redundant information with information to be embedded to achieve a visual invisible purpose. We first analyze the color index usage frequency of the block index matrix in the algorithm, and calculate the distance between the color of the block index matrix with only one color and the other color in the palette that is closest to the color. Then, the QR model and the compression model are applied to improve the efficiency. We compare the proposed model with the stateof-the-art models.
THE USE OF SMALL GROUP DISCUSSION (SGD) IN TEACHING READING COMPREHENSION (A DESCRIPTIVE STUDY AT THE SECOND SEMESTER STUDENTS OF ENGLISH DEPARTMENT AT STKIP BINA BANGSA GETSEMPENA BANDA ACEH)

The purpose of this research is to find out how the small group discussion method is used in teaching reading comprehension and to know to figure out the students' respond in teaching and learning reading comprehension. The subject of this research is the second-semester students' group A of the English Department at STKIP Bina Bangsa Getsempena Banda Aceh. This study uses a descriptive method to describe the use of small group discussions in teaching reading comprehension. The data of this research was obtained by using an observation sheet, and questionnaire for students. As the result of this research, the researcher found that using small group discussion techniques can improve reading comprehension. The students have positive responses towards the small group as a way to improve student's ability in reading comprehension. It can be seen that there is a positive response from the students toward small group discussions. It means that using small group discussion techniques can help students to improve reading comprehension, especially at the second-semester students' group A of the English Department at STKIP Bina Bangsa Getsempena Banda Aceh
Comparison of single and ensemble-based convolutional neural networks for cancerous image classification

In this work, we investigated the ability of several Convolutional Neural Network (CNN) models for predicting the spread of cancer using medical images.We used a dataset released by the Kaggle, namely PatchCamelyon.The dataset consists of 220,025 pathology images digitized by a tissue scanner.A clinical expert labeled each image as cancerous or non-cancerous.We used 70% of the images as a training set and 30% of them as a validation set.We design three models based on three commonly used modules: VGG, Inception, and Residual Network (ResNet), to develop an ensemble model and implement a voting system to determine the final decision.Then, we compared the performance of this ensemble model to the performance of each single model.Additionally, we used a weighted majority voting system, where the final prediction is equal to the weighted average of the prediction produced by each network.Our results show that the classification of the two ensemble models reaches 96%.Thus these results prove that the ensemble model outperforms single network architectures.
Students' Strategy In consecutive Interpreting a Short Motivation Speech into Bahasa Indonesia

This research aims to find out the strategies that were used by low, medium, and high-level students English Department of Universitas Negeri Padang in interpreting an English short speech into Bahasa Indonesia consecutively. The subject of this research was the third-year students of English Department who had taken English-Indonesia interpreting class. The sample was 23% were chosen out of 53 students by random sampling technique. The data were collected using an interpreting test consecutively via zoom meeting. The results show that the dominant strategy used by low-level students was the skipping strategy it was about 49 times used by the students during the test, it means (33.8%) out of the students used this strategy. Then, the dominant strategy was used by medium level students was skipping 29 times used by the students during the test or (20.86%) out of the students. Last, students in high level dominant used explicitation strategy 41 times used by the students during the interpreting test or (28.87%) out of the students. It could be concluded that students find it difficult to comprehend the source language; it proves that students skip the SL 86 times during the interpreting test, which was about 20.67%. Students in the low and medium level tend to use the skipping strategy, but students in the high level tend to repair and make the interpretation clearly by using explicitation strategy.
Wangchong's Theory of Moral Education

그간 동양사상을 덕 윤리의 관점에서 파악하고, 이성 중심의 도덕교육론을 서구의 칸트적 전통에서 이해하는 경향이 있어 왔다. 본 논문은 왕충의 도덕교육론을 통해, 합리성과 비판성 등이 동양사상에서도 강조되어 왔음을 주장하였다. 왕충은 자신의 교육론에서 합리성을 강조하였고, 이성적 사변의 중요성을 피력하였다. 또한 왕충은 유가 사상에서 주목하고 있는 ‘존덕성’을 외면하지 않았고, 자신의 교육론 안에 이를 포섭하였다. 본 논문에서는 왕충의 도덕교육론을 덕성 함양과 합리성 함양으로 나누어 분석, 종합, 평가하였다.Some modern scholars understand Eastern thought from the perspective of virtue ethics, and the rational moral education theory is recognized as a part of Western tradition. This paper advocates that Eastern thought also emphasizes rational speculation. One characteristic of Wangchong s educational theory is the emphasis on rationality. Also, he did not deny the virtue education of Confucianism, but rather embraced it in his theory of moral education. So he put forward the educational theory of the interaction between ‘moral cultivation’ and ‘reasonable cultivation’.
Optimalisasi Pelayanan Perpustakaan terhadap Minat Baca Menggunakan Metode K-Means Clustering

Knowledge Discovery in Database (KDD) is a structured analysis process aimed at getting new and correct information, finding patterns from complex data, and being useful. Data mining is at the core of the KDD process. Clustering is a data mining method that is suitable for optimizing library services because it can cluster books effectively and efficiently, with the K-Means algorithm data can be clustered and information from each centroid value of each cluster. Library services can optimize the placement of books so that students can quickly find books according to their reading interest more effectively and can be attracted to other books because they are in one grouping. Meanwhile, the library can prioritize the procurement of the next book. Optimization of library services in the cluster using the K-Means method. Clustering interest in reading has the criteria for the number of books available, borrowed books, and the length of time the books are borrowed. The book data is clustered into 3, namely very interested, in demand, and less desirable. After doing the calculation process from 40 samples of book types, it resulted in 6 iterations, and the final results were 3 clustering, namely cluster 1 of 4 books that were of great interest, cluster 2 of 20 books that were of interest, and cluster 3 of 16 books that were less desirable. This research can be used as a recommendation reference for optimizing library services both for the layout and procurement of books by prioritizing the types of books that are of great interest.
Performance Analysis of Deep Neural Network based on Transfer Learning for Pet Classification

Deep learning frameworks have progressed beyond human recognition capabilities and, now it's the perfect opportunity to optimize them for implementation on the embedded platforms.The present deep learning architectures support learning capabilities, but they lack flexibility for applying learned knowledge on the tasks in other unfamiliar domains.This work tries to fill this gap with the deep neural network-based solution for object detection in unrelated domains with a focus on the reduced footprint of the developed model.Knowledge distillation provides efficient and effective teacherstudent learning for a variety of different visual recognition tasks.A lightweight student network can be easily trained under the guidance of the high-capacity teacher networks.The teacherstudent architecture implementation on binary classes shows a 20% improvement in accuracy within the same training iterations using the transfer learning approach.The scalability of the student model is tested with binary, ternary and multiclass and their performance is compared on basis of inference speed.The results show that the inference speed does not depend on the number of classes.For similar recognition accuracy, the inference speed of about 50 frames per second or 20ms per image.Thus, this approach can be generalized as per the application requirement with minimal changes, provided the dataset format compatibility.
Decision Making for Multi-Criteria Recommender System with Interaction and Non-Interaction Between Criteria

The recommender systems are increasingly being more inrested in many fields of the life, it is increasingly effective in finding information to suggest to users in big data systems. The multi-criteria recommender systems are always researched and improved to suit the diverse requirements of data and user preferences today. The calculation to make a reasonable decision is required for the multi-criteria consulting system. Many operations have been applied to decision making. Most traditional recommender systems often use average calculations to calculate useful values used in decision making. In this paper, we offer a new approach to develope decision-making based on interaction and non-interaction between criteria. In an information system, data always has interactive relationships that represent intrinsic values in the system. If we do not add these values to calculate decision-making, the decision making will not be complete. We build a multi-criteria consulting model in both Item-based (compare and evaluate results with some existing models) and User-based (Compare decision making operations) with non-interactive and interactive decisions. Experiments show that when using interactive values, the results are much better, contributing to improving the quality of the current multi-criteria consulting system.
Construction of a teaching practice model based on the composition of subject content for biological education

Biological education forms a key part of childrens' education, enabling them to better understand life on Earth and related science. Some even consider biological education to contribute to the development of an individual's personality. In the context of global warming and climate change, it has arguably never been more important that individuals understand humanity's role in preserving life on earth. In 2008 and 2012, educational reforms in Japan made certain biological subjects compulsory for junior high school education. However, a lack of clearly defined framework meant a lack of a definitive and effective means of teaching these topics across the county. Dr Yuji Araki, Faculty of Education, Saitama University, Japan, is working with academic experts in a range of biological fields, along with teachers and educational staff members, to clarify the technical facts, concepts and abilities that students need to acquire at each stage of their education. This will enable Araki and his team to construct a framework that identifies what should be taught, the targets for these teachings and how these lessons should be taught. A key focus is on creating a framework for teachers that upholds the principles behind constructed subject content theory and ensures schoolchildren gain a real agricultural education.
PENGEMBANGAN MULTIMEDIA INTERAKTIF MENGGUNAKAN APLIKASI AUTOPLAY MEDIA STUDIO 8 PADA MATA PELAJARAN IPS KELAS VIII SMP

AbstractProblems found in SMP Negeri 23 Padang in social studies subjects class VIII. Seen students do not pay attention to the teacher when explaining the lesson, chatting with other friends, and there are also just sitting pensive or sleepy in class. This study aims to develop products as a valid and learning media in accordance with the eligibility criteria of materials and media in social studies subjects VIII in SMP Negeri 23 Padang. This type of research is development research known as Research and Development (R&D). Based on the results of research and development of interactive multimedia on social studies subjects in class VIII SMP shows that, the development procedure is taken through the first few stages, the preliminary study stage by conducting needs analysis, the second stage of interactive multimedia development. So from this development procedure, the product validity test results for the material aspect are at very with the value obtained by the validator of 4.70, for the media aspect, the achievement is very feasible with the value obtained by validator I at 4.60 and validator II is 4.78. Furthermore, the practicality results of the product based on the trials that have been carried out are on the achievement of very practical with the value obtained of 4.52. The conclusion of this research is that interactive multimedia on social studies subjects is appropriate to be used in the learning process. Keywords: Development, Interactive Multimedia, Autoplay Media Studio 8
Adopting Vulnerability Principle as the Panacea for Security Policy Monitoring

Despite the adoption of information security policies, many industries continue to suffer from the harm of noncompliance.Some of these harms include illegal disclosure of customers sensitive data, leakages of business trade secrets, and various kinds of cyber-attacks.The impact of such harm can be enormous.To avert this, monitoring the compliance of information security policies (otherwise known as use policies) have been adopted as a strategy towards enhancing security policy compliance.One of the main essence of use policy monitoring is to enhance security policy compliance so as to prevent harm.Ironically, the consequences of use policy monitoring can be detrimental.While proponents use utilitarianism ethics to argue that the monitoring of use policy is enhancing security policy compliance, the opponents of use policy skewed to deontological ethics to argue against the monitoring of security policy.Deontological ethics is of the view that monitoring of security policy intrudes on employees' privacy and tend to hamper on their work performance.There have not been any clear solution to this discourse.A survey was conducted to understand the extend of security policy monitoring.Vulnerability principle was therefore explored as the panacea towards enhancing the monitoring of use policy to satisfy all the involve stakeholders.
Fiat-Shamir via List-Recoverable Codes (or: Parallel Repetition of GMW is not Zero-Knowledge).

In a seminal work, Goldreich, Micali and Wigderson (CRYPTO ’86) demonstrated the wide applicability of zero-knowledge proofs by constructing such a proof system for the NP-complete problem of graph 3-coloring. A long-standing open question has been whether parallel repetition of their protocol preserves zero knowledge. In this work, we answer this question in the negative, assuming a standard cryptographic assumption (i.e., the hardness of learning with errors (LWE)). Leveraging a connection observed by Dwork, Naor, Reingold, and Stockmeyer (FOCS ’99), our negative result is obtained by making positive progress on a related fundamental problem in cryptography: securely instantiating the Fiat-Shamir heuristic for eliminating interaction in public-coin interactive protocols. A recent line of work has shown how to instantiate the heuristic securely, albeit only for a limited class of protocols. Our main result shows how to instantiate Fiat-Shamir for parallel repetitions of much more general interactive proofs. In particular, we construct hash functions that, assuming LWE, securely realize the Fiat-Shamir transform for the following rich classes of protocols: 1) The parallel repetition of any “commit-and-open” protocol (such as the GMW protocol mentioned above), when a specific (natural) commitment scheme is used. Commit-and-open protocols are a ubiquitous paradigm for constructing general purpose public-coin zero knowledge proofs. 2) The parallel repetition of any base protocol that (1) satisfies a stronger notion of soundness called round-by-round soundness, and (2) has an efficient procedure, using a suitable trapdoor, for recognizing “bad verifier randomness” that would allow the prover to cheat. Our results are obtained by establishing a new connection between the Fiat-Shamir transform and list-recoverable codes. In contrast to the usual focus in coding theory, we focus on a parameter regime in which the input lists are extremely large, but the rate can be small. We give a (probabilistic) construction based on Parvaresh-Vardy codes (FOCS ’05) that suffices for our applications.
Decision Support System for Determining Diaconia Scholarships for Congregations at The GBI House of Sacrifice Church using SAW Method

The purpose of this study was to determine how effective the Simple Additive Weigthing method is in the Scholarship Awarding Decision Support System at the GBI House of Sacrifice, and to assist the Diakonia sector in determining scholarship acceptance at the GBI House Of Sacrifice Church based on the web using the PHP programming language and MySQL database. The problem in this research is how to apply the Simple Additive Weigthing method in the Scholarship Decision Support System at the GBI House of Sacrifice, how to build a Diakonia Scholarship Decision Support System for Congregations in the GBI House Of Sacrifice Church based on web using the PHP programming language and MySQL database, and how much Effective application of the Simple Additive Weighting method in determining scholarships to congregations at the GBI House Of Sacrifice. The research methodology used in this research is literature study, observation, and the design method used is the waterfall method. The application of the Simple Adaptive Weigthing method in the Scholarship Awarding Decision Support System at the GBI House of Sacrifice can assist the selection of the congregation of prospective scholarship recipients so that based on the calculation of the SAW method it can be seen that the congregation who received the scholarship. The results of this study can provide information on prospective scholarship recipients based on predetermined criteria and the calculation results of the SAW method, and the application of SAW in the selection of prospective scholarship recipients can help the GBI House of Sacrifice to avoid mistakes in determining scholarship recipients.
Negative UX-Based Approach for Deriving Sustainability Requirements

In this chapter, a Negative User Experience (NUX)-based method for deriving sustainability requirements of persuasive software systems is proposed. The method relies on the analysis of NUX assessment, and the exploitation of relationships between the SQ model and the PSD model, which are well-known models for sustainability-quality in software systems and persuasive system design respectively. To illustrate the method, a user study has been conducted involving people in their real working environments while using specific software intended to change their behavior for preventing or reducing repetitive strain injury (RSI). The method allowed us to discover thirteen requirements that contribute to social, technical and economic sustainability dimensions.
Improving the technology of manganese ore X-ray radiometric separation

Introduction. In addition to the classical methods of manganese ore processing, a lower-cost and more environmentally friendly technology of X-ray radiometric separation (XRS) has been developed in the last twenty years. The technology has been embraced by enterprises and applied to improve the efficiency of manganese deposits development. The article provides original results of the research carried out by Irgiredmet institute concerning the development of the procedure and technology of manganese ore XRS. Research methodology. The XRS methodology is based on the X-ray fluorescence (XRF) method of elements detection common in geophysical practice. A methodological task of these method is to find manganese in ore containing not only manganese but also iron, as soon as the two elements possess characteristic X-ray radiation (CXR) close in energy and mutually affect the accuracy of their detection by the X-ray fluorescence analyzers. The chosen research methodology allowed developing a new way of keeping records of the elements when solving the problems of manganese ore sampling and sorting. Research results. A new and efficient algorithm of sampling manganese and iron has been developed and tested on different types of manganese and ferromanganese ore. The ratio of CXR of the detected elements to the total sum of the scattered radiation (SR) and these elements CXR intensity set by a special spectral coefficient k is such universal criterion which promotes to more accurate detection of manganese and iron content in lumps.
EXPERIMENTAL VERIFICATION OF THE EFFICIENCY OF PEDAGOGICAL CONDITIONS OF TRAINING OF FUTURE TEACHERS OF NATURAL SCIENCES FOR THE ORGANIZATIONS OF SAFE LIFE ACTIVITIES OF SENIOR SCHOOL STUDENTS

The article, based on the analysis of theoretical literature, characterizes the pedagogical conditions of preparation of future teachers of natural sciences for the organization of safe living of high school students. The results of the pedagogical experiment on checking the effectiveness of pedagogical conditions of preparation of future science teachers for the organization of safe living of high school students are highlighted. It was found that after the formative stage of the pedagogical experiment, during which certain pedagogical conditions were implemented, the elementary level in the control group of students decreased by 0.99%, in the experimental - by 11.39%; sufficient level in the control group decreased by 0.98%, in the experimental group - by 10.40%. High level indicators: in the control group the number of students increased by 1.97%, in the experimental group - by 21.77%.
recommendation to the SSH community: Take a linguist on board

In this paper we address how Natural Language Processing (NLP) approaches and language technology can contribute to data services in different ways; from providing social science users with new approaches and tools to explore oral and textual data, to enhancing the search, findability and retrieval of data sources. By using linguistic approaches we are able to process data, for example using Automated Speech Recognition (ASR) and named entity recognizers (NER), extract key concepts and terms, and improve search strategies. We provide examples of how computational linguistics contribute to and facilitate the mining and analysis of oral or textual material, for example (transcribed) interviews or oral histories, and show how free open source (OS) tools can be used very easily to gain a quick overview of the key features of text, which can be further exploited as useful metadata.