Reviewerly/exHarmony huggingface dataset:
Information hiding in geometric patterns and its application to fabric authentication

Geometric patterns have been used since ancient times as a means of decoration in art and architecture, with distinctive styles demonstrated in Islamic and Japanese cultures. They are now also being used as communication media, allowing information embedded in the pattern to be imparted in applications such as barcodes. By combining simple graphical tiles into geometric patterns, Professor Hiroshi Ito, from Nihon University in Japan, believes that the interesting structure of such patterns may make them less obstructive when printed onto materials, therefore making them easier to use in broader applications. Ito's focus lies in information binding to geometric patterns that encompass results for patterns known as dragon curves as well as Penrose tiling. This builds on his previous work using serpentine patterns, which involves manipulating two cells to create repetitive patterns reminiscent of the undulation of a snake. In this latest study, Ito and his colleagues consider the use of these patterns combined with a filter for use in applications such as document authentication.
Seismic Waveform Classification Based on Multi-classification Model Weighted Voting Method

The earthquake event is caused by the activity of the interior earth, which has the potential and can create great damage. Thus, in big data era, it is necessary to fast, efficient and universal automatic recognition and classification of seismic waveform. A well-performed recognition and classification algorithm should be sensitive to small and weak events with various waveform shapes, robust to background noise and non-seismic signals, and effective for processing a large number of data in different areas. In this paper, we introduce the weighted voting method in ensemble learning, taking 50000 seismic signals monitored by the capital circle and its nearby stations as training and testing data, we learn the main time-frequency characteristics of seismic positions in the three-component seismic signal data through the sub-model, and then identify and classify them. Finally, the classification score of the sub-model is weighted to confirm the final event type. Compared with single machine learning models, our result shows improved recognition and classification performance and reduced uncertainty of ensembles.
AN ANALYSIS OF COHESIVE DEVICES USED IN INTRODUCTION SECTIONS OF MASTER THESES (A CASE STUDY AT GRADUATE PROGRAM IN ENGLISH EDUCATION, UNIVERSITAS SYIAH KUALA)

Abstract Name: Fenny Wiska Student No.: 1409200080044 Study Program: Magister Degree in English Education Department: English Education Title : An Analysis of Cohesive Devices Used in Introduction Sections of Master Theses (A Case Study at Graduate Program in English Education, Universitas Syiah Kuala) Keywords: Cohesive devices, master theses, introduction section, writing quality This qualitative study was employed to find out the use of grammatical and lexical types of cohesive devices in the introduction sections of 20 Master theses of English Education students in Syiah Kuala University along with their influences towards the writing quality. Documentation and checklist were utilized to collect the data obtained from the theses of 2013 to 2017. Then data were analyzed by implementing Halliday & Hasan’s framework (1976) and the modified version the framework of Whitaker (2009). The result revealed that reference became the most frequent grammatical type of cohesive devices appeared 39.36% of the total grammatical types. In addition, in terms of lexical types, reiteration turned to be into the most dominantly used deviced with 48.38% of occurences. The finding also showed that the number of occurences and appropriateness used of cohesive devices used in the students’ thesis introduction sections influenced their writing quality.
Theory and Application of Natural-Based Wavelet Method

Wavelet method is often used in analyzing trend and period of time sequence. When using wavelet method one serious problem is different chosen wavelet basis and scale would lead to different results. Sometimes, the results vary greatly. To overcome this problem and to improve the accuracy and efficiency, a new method denoted by Natural-based Wavelet Method is introduced and extended. It can be proved that the proposed method in fact is a special class of discrete wavelet. At first, two numerical examples are designed to show the capacity of the novel method. Second, this method is applied to a precipitation series. According to wavelet analysis and short-range precipitation prediction, this precipitation exists a faintly increasing trend. Through the analysis, the studied precipitation has two major periods: 11 and 41 years. The results validate that the Natural-based Wavelet Method used in application of multi-complicated observed data is suitable. It is easy to write the source code of the proposed method. When new information appears, new information can be easily added into the original sequence, this is another advantage of the proposed method.
Secure And Insubstantial Data Sharing Chart For Mobile Cloud Computing

We focus on the extent of transparency as a result of major updates that this customer may have, and certified outsourcing of major updates is a brand new product known as Cloud Storage Auditing. Let's here in this case, major updates can be outsourced safely to an accredited entity, thus the weight of updating the least important items is stored around the customer. In addition, our client design provides us with the ability to validate validity using encrypted secret keys that is set by in particular, we benefit from external auditors in many of the current general audit designs; allow it to act as an authorized party in our center, which makes it Responsible for both storage checks and key updates, lock key conflicts. When uploading new files to the cloud, the customer should download the encrypted secret key that was only downloaded in... After that, the authorized party will hold the encrypted secret key from the client to check the cloud storage and update it below the encrypted state in each time period. The customer downloads and decrypts the encrypted secret key to the authorized party and they want to upload new files to the cloud. Within our design, THE should only be an encrypted form of a customer's secret key while performing each of these challenging tasks in honor of the customer. Within our design, THE should only be an encrypted form of a customer's secret key while performing each of these challenging tasks in honor of the customer. We formalize the meaning as well as the type of security in this example.
학교무용예술강사의 직업 정체성 갈등에 관한 근거이론적 접근

The purpose of this study was to understand the form of the conflict of professional identity experienced by the school dance arts instructor. Furthermore, this study analyzed the occupational identity conflict structure they experienced and tried to implement a paradigm about the overall process. Grounded theory method was applied. For this purpose, the first study participants were selected using the purposeful sampling method and a total of 8 study participants were adopted by applying the snowball sampling. The data collection was carried out primarily using in-depth interviews. The central phenomenon showed the establishing dance art instructors’ occupational identity conflict. The detailed results as follows. First, the concepts and categories of the occupational identity conflict perceived by the dance arts instructor were extracted, and 101 concepts, 13 subcategories, and 7 upper categories were derived by open coding. Second, the conflict structure of the professional identity of the artistic instructor was analyzed and a paradigm model could be made based on it.
PERAN INTERAKSI SOSIAL TERHADAP KEMAMPUAN BERKOMUNIKASI BAHASA INDONESIA MAHASISWA THAILAND

The teacher as a learning facilitator certainly must have the ability to communicate.This relates to the task of the teacher who must be able to convey material to students clearly and use communicative language.One of the main components is communicatiion is language.In the 2013, Curriculum, Indonesian is used as conduit for other subjects.That makes the position of Indonesian language irreplaceable by other languages.This certainly also applies to Thai students studying at IAIN Tulungagung teacher study programs.Thai students are required to master Indonesian properly and correctly.However, Thai students who are in Tulungagung more often hang out with fellow students from Thailand and comminicate daily using Malay.In class, they are also passive.This study uses observation and interview methods to describe the role of social interaction on the communication skills of Thai students at IAIN Tulungagung.In this study it was found that interaction has a role in the communication skills of Thai students.Thai students interact more with fellow Thai students and use their native languange so that their communication skills in Indonesian are slow to develop.
A New Challenge in the Data Processing of Non-Standard Texts Containing Accents / Diacritics: A Case Study

The INTELLIT project develops a virtual online museum of the Romanian literature. The sources of data made available and provided by the Romanian Academy, such as: General Dictionary of Romanian Literature, Timeline of the Romanian Literary Life and the canonical works of Romanian writers are digitized and indexed using smart text analytics. One of the challenges with this process is dealing with diacritics and textual accents. Here, we present an in-depth analysis of possible solutions and describe our implementation for detecting various Unicode text processing. We present the solution identified as an accessible way to remove specific Unicode text code points in order to greatly improve our search and filtering capabilities while still preserving the original source (at the database level).
Anne Shirley’s Character Development and its Causes as Seen in &lt;i&gt;Anne of Green Gables&lt;/i&gt; by Lucy Maud Montgomery

This research discusses the character development of Anne Shirley, the main character of the novel Anne of Green Gables by Lucy Maud Montgomery. The objective of the research is to understand the character development of Anne Shirley and also examines the factors that cause development. The analysis is conducted by using the objective approach by M.H Abrams because the approach is suitable to analyze character, characterization, and character development. The result of this research shows that the character of Anne Shirley is developed from a loveless girl to a mature teenager. Her character development is caused by two factors, internal factor which is her own motivation and external factors which come from the people around her and new environment.
PENGARUH PENYALAHGUNAAN TEKNOLOGI INFORMASI DAN INTEGRITAS MAHASISWA TERHADAP PERILAKU KECURANGAN AKADEMIK MAHASISWA AKUNTANSI SEBAGAI CALON AKUNTAN (Studi kasus Mahasiswa akuntansi Universitas Islam Swasta Di Kota Medan)

This study aims to analyze the effect Of Information Technology Misuse and Student Integrity Towards Academic Fraud Behavior Of Accounting Students As Prospective Accountant at Islamic Private Universities in Medan . The research data was obtained from questionnaires by looking for samples using Slovin Technique. Data collection techniques use Library Research and Field Research. The data analysis technique used is Descriptive Statistics Analysis, Data Trend, Validity Test, Reliability Test, Classical Assumption Test, Quantitative Analysis, T Test, F Test and Determination Test. The type of research used is Descriptive Analysis Technique using SPSS version 15 . The results of the study are: 1) There is no significant effect of Information Technology Misuse towards academic fraud behavior of accounting students as prospective accountant . 2 ) There is a significant effect of integrity student towards academic fraud behavior of accounting students as Prospective accountant . 3) There is a  significant effect of Information Technology Misuse and Student Integrity towards academic fraud behavior of accounting students as prospective accountant
A Study of College English Blended Learning Model Based on the Blue Ink Cloud Class*

With the development of information technology and the popularization of the Internet, experts and scholars in the educational field have made a series of explorations and practices on E-learning.The idea of blended learning has gradually been recognized and applied to teaching practice.Blended learning is based on certain teaching and learning objectives, combining the advantages of traditional learning methods with those of online learning by using appropriate technical means.Teachers should play a leading role in guiding, inspiring and supervising the teaching process, during which, as the main body of the learning process, students' initiative, and creativity are fully reflected.The paper mainly discusses the application of mobile Blue Ink Cloud Class in college English teaching is just adapted to this trend.Choosing Blue Ink Cloud Class as an assistant teaching terrace for blended learning in mobile environment has great advantages and feasibility.The study has a very new significance of the times and will provide a new perspective for the reform of College English teaching from multiple angles and levels in the era of "Internet plus".
Su arbitrato e mediazione nelle direttive Digital copyright e Collecting

Unlike the Digital Copyright directive, which remains extremely generic, theCollecting directive dictates some element of detail, suggesting mediation or arbitrationas possible examples of proceedings, requiring that they are administered bybodies with specific competences of intellectual property rights. In the case of theCollecting Directive, the applications that have taken place, despite the rather clearindications in terms of mediation or arbitration, although with some exceptions,have taken the path of atypical procedures, while everything is still to be defined inrelation to what will be the indications of the internal legislation to be issued in implementationof the Digital copyright directive. It is, therefore, worthwhile to spendsome brief considerations in relation to arbitration and mediation as adr proceduresto be used in this area, with the hope of an option that is as clear and stringent aspossible towards these institutions, which already enjoy an adequate theoretical andsystematic framework and therefore are less harbingers of problems.
turnitin: Development of biological learning model using curtain mushroom media (Pleuroptus ostreatus) as soger meat

Oyster mushrooms contain mineral salt which presents higher than lamb. Important mineral contents in oyster mushrooms include iron (Fe), phosphorus (P), potassium (K), sodium (Na), and calcium (Ca). The aims of the research are to produce innovative products for students and the public in utilizing oyster mushrooms (Pleuroptus ostreatus), to provide a solution for traders to use oyster mushrooms (Pleuroptus ostreatus) in processing sogers, so that the oyster mushroom (Pleuroptus ostreatus) can be enjoyed by all circles, especially the community of people down. This research includes Quasi Experiment Research (quasi-experimental research). The population of this study is the eleventh grade students of SMAN 1 Samarinda, the eleventh grade students of SMAN 2 Samarinda, and Community of Tanah Merah Village. 30.00% of the eleventh grade students of SMAN 1 Samarinda made use of oyster mushrooms, while 70.00% of grade XI students of SMAN 2 Samarinda had never used oyster mushroom media, and 50.00% of community of Tanah Merah village used oyster mushrooms as vegetables and side dishes.
System for Monitoring People with Disabilities in the Event of an Accident using Mobile Terminals

Being in the speed century, people around the world are busy scheduling every day and therefore, it is impossible to spend enough time with the elderly and people with disabilities or people who have a chronic illness.These persons need a lot more attention and care because they cannot cope with the daily activities like a healthy person would.Daily monitoring and assistance of elderly or disabled people is a very important task, both in the current activity, or, especially when emergencies can occur.Fortunately, we can easily use today's technologies, which are constantly developing to be able to monitor them remotely.This paper tries to find a solution to reduce cases of fatality due to accidents, by using advanced technologies of today, e.g.smartphones, fast communications.The use of these technologies can provide permanent monitoring of the elderly and persons with disabilities, without bounding their mobility and without affecting their quality of life.In this way, if emergency situations arise for the elderly or people with disabilities or chronic diseases, measures can be taken as soon as possible.The development of a mobile application capable to monitor the occurrence of accidents for the above-mentioned persons is obviously a help granted to the doctors involved in ensuring their health.Thus, the main objective of the application is to detect the accidental falls of the persons in the shortest possible time.Another objective is to provide an application that runs in the background of the mobile operating system, using as little as possible the power supply.
Radial Basis Function Neural Network and Prediction of Exchange Rate

This study aims to predict the exchange rat based on radial basis function neural network (RBFNN). Concerning the selected sample point, it only responds to the inputs of neighboring samples and hence has better approximation performance and overall optimization than other forwarding networks, in addition to being simple in structure and fast in training speed. RBFNN in empirical risk minimization methods has been studied, their adaptability to exchange rate prediction has been explored, and these methods have been verified by exchange rate data. The contributions are proposing an exchange rate prediction algorithm based on RBFNN and more accurately predicting short-term and long-term exchange rate variation trends.
Quantum Circuit Learning Using Error Backpropagation

Quantum computing has the potential to outperform classical computers, and is expected to play an active role in various fields. On quantum machine learning, it is difficult to learn only on quantum computing. Classical-quantum hybrid algorithms are proposed in recent years. Classical computer is used for calculation of parameter tuning in quantum circuit. In this paper, we propose a backpropagation algorithm that can efficiently calculate gradient in optimization of parameter in quantum circuit, which outperforms the current parameter search algorithm while presents the same or even higher accuracy.
The Standard Model vs. Physical Facts

Dynamical sectors of the Standard Model of particle physics are critically analyzed. It is proved thatquantum electrodynamics, quantum chromodynamics, and the electroweak theory are inconsistentwith fundamental physical principles. More than two examples apply to each of these theories, andany of these examples substantiate the unacceptable status of the relevant theory. Unfortunately,the mainstream particle physics literature ignores this situation and glorifies the Standard Modelas an excellent scientific theory.
IMPROVING READING COMPREHENSION OF THE GRADE EIGHT STUDENTS THROUGH SUMMARIZING TECHNIQUE

The objective of this research is to prove whether or not the use of summarizing technique can improve reading comprehension of the grade eight students of SMP Negeri 9 Palu. The researcher used a quasi experimental  research design. The population of this research was the grade eight students of SMP Negeri 9 Palu and the sample were VIII D (experimental group) and VIII C (control group). The sample was selected by using purposive sampling technique. The instrument for collecting data was test which consistently of pre-test and post-test.  The data collected were analyzed statistically. After collecting the data, the researcher finds that the t- counted (6.24) is greater than the t - table (1.67) by applying 0.05 level of significance and the degree of freedom (df) 61. It means that the hypothesis is accepted. In other words, the use of Summarizing Technique can improve reading comprehension of the grade eight of SMP Negeri 9 Palu. Key w ords: Improving, Summarizing Technique, Reading Comprehension
Validity and Reliability Test of Assessment Instrument of the Suitability of Electric Power Steering Media

Assessment instrument is one of the important parts of a research, it should be suitable with the things that are going to work with. This research is purposed to test the validity and reliability of the instrument that is going to use to examine the visual aid media electric power steering. The validity analysis model used in this test is Content Validity Ratio or CVR to asses the validity of the instrument. Meanwhile, the reliability instrument is tested trough Intraclass Correlation Coefficient; ICC). The result showed that the points of the instrument reach the CVR number of 0.99 which means that the instrument is valid. Furthermore, the number of ICC is 0.835 (media expert instrument), 0,815 (material expert instrument) and 0,732 (user response instrument). From the findings, it can be concluded that the instruments for media and material experts are in high stability category, while the user response instrument can be categorized as adequate. Finally, these instruments are valid to asses the suitability of the electric power steering media.
Citizen Science Examples and Issues

This presentation was given at the Earth Science Information Partners (ESIP) Winter Meeting held in Bethesda, MD in January 2020.
Enhanced Partition-Based Method using Correlation Coefficient

Clustering is one of the important data analysis tools in data mining techniques and k-means [1] is one of the top ten methods for Clustering. Due to the random selection of the first k number of centroids, the standard k-means method highly depends on the selection of preliminary centroids for producing good quality of clusters. This paper introduces an enhanced centroid-based clustering method using a correlation coefficient of clusters. The proposed method was compared with the k-means method, and the experimental results show that our method consistently produces good quality of clusters effectively.
SMDCIC - SISTEMA PARAMONITORAMENTO DE DATA CENTERS BASEADO NA INTERNET DAS COISAS

Law No. 13,243 / 2016, which amended articles of Law No. 10,973 of 2004, as well as instituted the Legal Framework for Science, Technology and Innovation, had provisions that lack regulation. Through Federal Decree No. 9,283 / 2018, gaps were filled and the necessary devices were conceptualized for the use of the inaugurated legislation, in order to achieve technological autonomy and development of the national productive system. Among the legal institutes dealt with by the regulatory decree, there are technology transfer rules between the ICT's and the private initiative, as well as essential requirements of the technology offer extract and minimum requirements for the participation of the interested party.