Reviewerly/exHarmony huggingface dataset:
Blind Multipurpose Image Watermarking with Perfect Security

Nowadays, from one hand multimedia authentication techniques are widely used to achieve trustworthiness, on the other hand, due to the rapid growth of image processing software technologies, having a secure method to protect the copyright of these data seems fairly essential. Multipurpose watermarking emerged in order to simultaneously accomplish multimedia authentication and copyright protection. In this paper, we propose a multipurpose watermarking method which achieves perfect security, the ability to detect tampered areas of the watermarked image as well as a lower BER rate, at the cost of reducing capacity by half. This watermarking scheme is blind in the sense that on the receiver side, neither the original host image nor the embedded watermark is needed for ownership watermark extraction or tamper detection. Experimental results show that our method is able to reconstruct extracted tampered watermarks even after various attacks such as JPEG compression, average filtering, gamma correction, median filtering, speckle noise, JPEG compression, sharpening, Wiener filter, and median filtering. Comparisons are provided with other multipurpose watermarking methods which primarily aim at simultaneous goals of copyright protection and authentication. We also show the superiority of our proposed method to three watermarking methods attaining these objectives on a one-goal-at-a-time basis.
IMPLEMENTASI METODE DEMPSTER-SHAFER UNTUKMENDIAGNOSA TIPE SKIZOFRENIA

The 2013 Basic Health Research Data (Riskesdas) shows the prevalence of mental-emotional disorders with symptoms of depression and anxiety at the ageof 15 reaching 14 million people. This figure is equivalent to 6 percent of Indonesia's population. Meanwhile, the prevalence of severe mental disorders such as schizophrenia reaches 600 thousand. The very rapid development of computers and the lack of understanding of the disease then made a webbasedexpert system that concludes the results of the solution in the form of a diagnosis as decided by an expert. The system created is an application that is used to diagnose schizophrenia and the diagnosis is done by analyzing symptom input. The diagnosis results give an output in the form of the name ofthe type of disease along with the probability value of the percentage generated based on the symptoms chosen. The PHP programming language for building this application and the MySQL database for storing data, while the inference method uses the Dempster Shafer uncertainty method, which is a method based on a trust function and plausible thinking. Expert system to diagnose schizophrenia is an application that can analyze schizophrenia based on symptoms that are selected by the user with a simple appearance so it is easy for users to understand, and can be accessed by many users.
An Experimental Investigation To Determine The Effectiveness Of Remedial Measures In Correcting Typewriting Errors

It was the purpose of this study (1) to determine the types of individual typewriting errors; (2) to make studies of individuals to determine causes of errors; (3) to eliminate these errors by corrective measures; and (4) to evaluate the effectiveness of the corrective measures in relation to the errors at the beginning of the study to the errors at the end of the study.
Understanding the Impact of Trust, Perceived Risk, and Perceived Technology on the Online Shopping Intentions: Case Study in Kurdistan Region of Iraq

The paper aims to understand the impact of trust, perceived risk, and perceived technology on the customer intention for online shopping. The online shopping habits are new and emerging in Kurdistan Region of Iraq. In this regard, the data collected to from the region to understand the main reasons those drive of slow the customers to purchase online. The results have shown that perceived risk effected customers’ online shopping intentions negatively. Secondly, perceived technology was affecting the intentions positively. Lastly, it was observed that trust was positively related with the online purchase intentions.
Implementasi Aplikasi Pengelolaan Nilai Untuk Mata Kuliah Tugas Akhir pada Tahun Akademik 2020/2021

Final Project is a subject that must be taken by every undergraduate student to become one of the requirements for completing studies. The results of the analysis of the management assessment application for processing the final project assessment value data has several steps, submitting the topic of STA/TA through an excel file, determining the supervisor and completing student data by TA Coordinator, managing the trial data, and processing the final project trial value data. This web-based application has been successfully built through requirement planning, system design, and implementation. Management assessment application can help coordinators and lectures. The application implementation uses real data of students who are taking course final project seminar and final project in the academic year 2020/2021 done online. Management assessment application also provides the result of the data reports required by the Informatics Engineering Bachelor Program.
Ambiguity and automatic disambiguation of the Latin prepositions in the third book of the Clavis Prophetarum

The third book of Clavis Prophetarum [The Prophets’ Key] by Father Antonio Vieira, S. J. (1608-1697), in its Latin version, reedited by the Portuguese National Library in 2000 – a critical edition by Arnaldo Espirito Santo – constitutes the corpus of this work. In order to be able to work on a corpus of a given language, we need formalized electronic linguistic resources in order to obtain the greatest possible coverage and that can be used in appropriate systems. If, for the Portuguese language, we already have trustworthy resources developed since the 1990s by LabEL (Laboratory of Linguistic Engineering), as to the Latin language, we cannot mention the same. In fact, the use of automatic text analysis software is not yet a common practice, it is limited to restricted research circles. However, this is an area whose growing importance and potential for language teaching fully justify all the effort to disseminate it, so that more people are interested in investing and making it an added value in research. This article is a small contribution to this aim and has as main goals to help elaborate rules of automatic disambiguation of prepositions and their syntagms, in the Latin version of Clavis Prophetarum. It is also intended to evaluate the effectiveness of its application, in order to allow later reliable approaches in the study of this category in the corpus, using automatic techniques.
Nuevos algoritmos de procesamiento automático: Inteligencia artificialy la voz

espanolLos nuevos desarrollos en inteligencia artificial han conseguido poder identificar los patrones de la voz humana en el aire y convertirlos en informacion textual y cadenas de bits procesables. La base de ello son los nuevos algoritmos de aprendizaje automatico y una mayor capacidad de procesamiento de datos. Sin embargo, ?es suficiente? La comunicacion oral, como veremos, requiere muchos datos ademas de la voz, pero la voz es una primera base para ese camino. EnglishThe new developments in Artificial Intelligence have managed to identify the patterns of the human voice in the air and to turn them into textual information and processable series of bits. This is based on new automatic learning algorithms and an increased data processing capacity. But, is that enough? Oral communication, as we shall see, requires lots of data besides the voice, but voice is the first step of this path.
The Pedagogical Model of the Formation of Soft Skills

The article discusses soft skills that increase work efficiency and the ability to interact with other people. The authors identified four groups of soft skills, developed a theoretical model for the formation of soft skills of students of a technical university. The presented model consists of target, substantive, procedural and evaluative-effective blocks. The characteristics of each of them are given. Criteria and levels of soft skills development have been developed.
THE ROLE OF PSYCHOLOGY IN ENGLISH CLASSES

This article is devoted to psychology in learning process and educational psychology to teacher`s subject. This article discusses the role of psychology in the educational process and the psychological approach of the teacher in the process of teaching English. The results of the research are presented in various professional forums and optimistically change the look of courses and textbooks in educational psychology. In addition, the examples given in the article add this element to teacher training, allowing teachers to improve their skills.
How to Connect a Motorola Baby Monitor to Phone With the USB Cable

If you are thinking of connecting your Motorola baby monitor to your phone, this article will help you with the process. This also works with the best ...
Upaya Meningkatkat Hasil Belajar Pendidikan Agama Hindu Dan Budi Pekerti Dengan Media Pembelajaran Video Melalui Channel Youtube Dalam Pembelajaran Jarak Jauh Pada Siswa Kelas X Smalb Tahun Pelajaran 2020/2021

National Education aims to develop the potential of students to become human beings who believe in and fear God Almighty, have noble, healthy, knowledgeable, capable, creative, independent citizens and become democratic and responsible citizens. The implementation of special education functions to provide educational services for students who have difficulty following the learning process due to physical, emotional, mental, intellectual and / or social disorders (Dirjen PKLK Dikdas dan Dikmen, 2015: 6) School is a formal educational institution to provide services according to the special education function itself.The Covid 19 pandemic has an impact on various fields of life, including in the field of education. Learning activities are carried out from home (BDR) through the implementation of Distance Learning. In the Distance Learning process (PJJ) for students with special needs there are still many difficulties faced by students or teachers.The phenomenon that occurs is that the implementation of learning Hinduism and character in class X SMALB Deaf at SLB Negeri 1 Buleleng through an online approach has not been maximally successful. Student learning outcomes are still low, some of the causes are students' lack of interest in learning, the interaction between teachers and students is not communicative. To overcome this problem, a more communicative video learning media was created which was published on the Youtube channel.This video learning media is designed with an attractive design to attract attention, clarify the presentation of ideas, and illustrate symbols / pictures so that they are easy to remember. Through this learning media, deaf students can access digital Hinduism subject matter so that their interest in learning increases.This study aims to solve problems that occur in the distance learning process through an online approach, namely to increase learning interest and learning outcomes for deaf students of class X SLB Negeri 1 Buleleng in Hindu Religion and Character lessons.
Does investor sentiment on social media provide robust information for Bitcoin returns predictability

We use a dataset of approximately one million messages sent on StockTwits to explore the relationship between investor sentiment on social media and intraday Bitcoin returns. We find a statistically significant relationship between investor sentiment and Bitcoin returns for frequencies of up to 15 minutes. For lower frequencies, the relation disappears. We also find that the impact of sentiment on returns is concentrated on the period around the Bitcoin bubble. However, the magnitude of the effect is rather small making it impossible for a trader to make economic profits by trading on the information published on social media.
Two-factor decryption: A better way to protect data security and privacy

Biometric information is unique to a human, so it would be desirable to use the biometric characteristic as the private key in a cryptographic system to protect data security and privacy. In this paper, we introduce a notion called two-factor decryption (TFD). Informally speaking, a TFD scheme is a variant of the public-key encryption (PKE) scheme. In a TFD scheme, messages are encrypted under public keys as that in a standard PKE scheme, but both private keys (i.e. the first factor) and biometric inputs (i.e. the second factor) are required to decrypt the ciphertexts and obtain the underlying plaintexts. We first describe a framework of TFD, and then define a formal security model for TFD. Thereafter, we present a generic construction on TFD based on the cryptographic primitives of linear sketch and functional encryption (FE) with certain properties and analyse its security. In addition, we give instantiations of TFD by applying concrete FE schemes into the generic construction and show their applications.
Robot Navigation using Reinforcement Learning

Learning to navigate in an unknown environment is a crucial capability of mobile robot. Conventional method for robot navigation consists of three steps, involving localization, map building and path planning. However, most of the conventional navigation methods rely on obstacle map, and do not have the ability of autonomous learning. In contrast to the traditional approach, we propose an end-to end approach which uses deep reinforcement learning for the navigation of mobile robots in an unknown environment. The model is trained with deep reinforcement techniques using Q-Learning algorithm. Through Q-Learning algorithm, mobile robot can learn the environment gradually through its wonder and learn to navigate to the target destination. The experimental result shows that mobile robot can reach to the desired targets without colliding with any obstacles. In future the same can be enhanced to implement the object classifying methods to understand traffic signal by the robot in order to travel in roads. Further it can be extended to create a self-driving car. Cascade classifier is used for classifying the data.
DORO: Distributional and Outlier Robust Optimization

Many machine learning tasks involve subpopulation shift where the testing data distribution is a subpopulation of the training distribution. For such settings, a line of recent work has proposed the use of a variant of empirical risk minimization(ERM) known as distributionally robust optimization (DRO). In this work, we apply DRO to real, large-scale tasks with subpopulation shift, and observe that DRO performs relatively poorly, and moreover has severe instability. We identify one direct cause of this phenomenon: sensitivity of DRO to outliers in the datasets. To resolve this issue, we propose the framework of DORO, for Distributional and Outlier Robust Optimization. At the core of this approach is a refined risk function which prevents DRO from overfitting to potential outliers. We instantiate DORO for the Cressie-Read family of Renyi divergence, and delve into two specific instances of this family: CVaR and $\chi^2$-DRO. We theoretically prove the effectiveness of the proposed method, and empirically show that DORO improves the performance and stability of DRO with experiments on large modern datasets, thereby positively addressing the open question raised by Hashimoto et al., 2018.
한류 콘텐츠와 스마트폰을 활용한 취미 목적 한국어 수업 효과 연구-싱가포르의 한국어 학습자를 대상으로-

The purpose of this study is to analyse the effects of a Korean course using Korean wave contents and smartphones, specifically for Singaporeans who are learning Korean for hobby purposes(KHP). Based on KHP learners’ needs and characteristics, which were found through the statistical analysis of survey data, the design principles for KHP courses were made as follows: 1) Maximise the use of Korean wave contents. 2) Use smartphones for more practice outside of the classroom. 3) Focus more on the spoken language rather than the written language. 24 KHP learners who have the same proficiency were divided into two groups, experimental and control groups. The class in the experimental group were designed according to the principles by using Korean wave contents, Quizlet and speaking tasks whereas the control group used conventional methods. As a result, it was found that the experimental group achieved higher scores and made positive changes in their affective aspects of Korean learning. This study is significant as it suggested the principles of KHP courses based on the KHP learners’ needs and has shown its effects. However, this study was carried out with a small number of students in a short period of time, thus it is necessary to carry out a more extensive investigation for future research. (ONLYOU Korean Language School)
School-based Feeding Program in Culiat High School and Its Impact on Nutritional Status and Academic Performance of the Severely Wasted Students: Basis for Developing a Multi-ways Feeding Program

The main objective of this study was to assess the management of the school-based feeding program and its impact on nutritional status and academic performance of the severely wasted students in Culiat High School. One feeding teacher, and fifty students, was involved in this study. Survey questionnaires were administered to gather the data from the respondents. The teacher-respondent assessed the management of the school-based feeding program in terms of assessing the management of the school-based feeding program in terms of selection of the feeding recipients, preparation of food, feeding scheme, and feeding fund. Also, the problems encountered in the management of the program. The student-respondents indicated their body mass index (BMI) and their first and second quarter general weighted average. The findings indicated that in general the management of the SBFP seems to be in need of improvement as seen in the selection of the feeding recipients, preparation of feeding food, and the sufficiency of the feeding fund were achieved to a moderate degree with a mean of 3.00 interpreted as satisfactory , the feeding scheme assessed to be in low degree with a mean of 2.00 interpreted as fair. The top three problems encountered by the teacher respondent in the management of the SBFP were first, some of the feeding recipients don't go down in the feeding area. Second, feeding recipients doesn't want to eat vegetables. Third, feeding recipients were shy. Eight (8) or 16% of the respondents happened to increase their BMI that made them wasted from severely wasted. While forty two (42) or 84% of the feeding recipients remains severely wasted. The overall interpretation is that feeding program shows a little impact in the nutritional status of the severely wasted feeding recipients. Thirty seven ( 37) or 74% of the student- respondents improved their general average by 1-5 points. While thirteen (13) or 26% of the respondents shows no increase in their general average Based from the findings, it was concluded that the teacher-respondent perceived that SBFP is not well- managed.In general, the student-respondents may be not well-oriented on the significance of the program to them. SBFP may not have a strong influence to increase the nutritional status of the recipients. While SBFP had an important part in improving the academic performance of the student-respondents
Low-Light Shadow Imaging using Quantum-Noise Detection with a Camera

We experimentally demonstrate an imaging technique based on quantum noise modifications after interaction with an opaque object. This approach is particularly attractive for applications requiring weak illumination. We implement a homodyne-like detection scheme which allows us to eliminate detrimental effects of the camera's dark noise. Here we illuminate the object with squeezed vacuum containing less than one photon per frame, generated in an atomic ensemble, and reconstruct the shape of the object with higher contrast than the direct intensity imaging using 1000 times more photons.
DEVELOPING ENGLISH DIGITAL BOOK AS LEARNING MEDIA FOR XI GRADE STUDENTS

This research aims at developing Digital English Book as English learning media for XI grade students of Senior High School. This learning media consist of some materials which is appropriate to be studied for students. All materials in this media is based on senior high school syllabus of curriculum K13. The research method used is Research and Development. This development used ADDIE model which have several steps, those are; 1) Analysis, 2) Design, 3) Development, 4) Implementation, and 5) Evaluation. The media validation result got 86 score it was in “very good” category, and the material validation got 88 score it was in “very good” category. The students’s responses of try out result 94 was in “very good category”. By having those result, this Digital English Book is feasible to be used as a learning media for XI grade students. Furthermore this research can be used as reference to other researcher in developing English learning media in different level of students. Key words: Digital English Book, English skill, Senior High School Students
Connecting Formulaic Sequences and Moves in Applied Linguistics Research Article Results

The current research examined the use of lexical bundles in the result sections of research papers by Iranian non-native writers in the field of applied linguistics. The WordSmith Software was applied to identify lexical bundles. In addition, the two analytical frameworks Biber et al. (2004) and Ruiying and Allison (2003) were used to categorize the bundles with regard to their structural features and their moves and steps. Moreover, with the aid of concordance, the identified clusters were analyzed and categorized according to their communicative functions. The results of the current research showed that Iranian writers relied heavily on the use of specific formulaic bundles to perform the communicative functions associated with the moves and steps. The findings also revealed that four moves out of six moves were mostly used by Iranian authors. Moreover, the researchers found that the extensive range of formulaic clusters used to demonstrate Move 2, Reporting results, the least bundles occurred in Move 4, Summarizing results, and also no clusters were used in Move 5, Evaluating the study along with Move 6, Deductions from the research by Iranian writers. The findings of this study boost the awareness of formulaic sequences usage for novice writers in particular discourse and communicative function.
Don’t feed the trolls? Emerging journalism practices for fighting anti-Semitism©

This study applies the concepts of interpretive communities and conversational interactions to show how investigative journalists initiated a relatively new method of reporting and generated support among their colleagues for becoming anti-Nazi activists and troll hunters. It draws on a sample of journalistic reporting and related media items to examine investigative reporters’ self-reflexive acts and the responses of journalism communities in Australia, the United Kingdom and the United States from 2015 to 2020. Investigative journalists initiated open conversations to show that they were enthusiastic activists in retweeting, confronting and quoting neo-Nazi trolling by interviewing the perpetrators. Other journalism communities signified they were pursuing activist-like agendas as they magnified this work through informal networks, social media and news commentaries. Journalists reconsidered their professional boundaries to allow for cooperative conversations about their experiences in a fresh effort to denounce hate speech and begin collective initiatives to enhance social cohesion in civil society.©