Reviewerly/exHarmony huggingface dataset:
A New Visual Cryptography Method Based on the Profile Hidden Markov Model

Digital image capturing technologies and the internet are widely used today. These technologies make it very easy and fast to capture and share personal images in daily life. This caus ...
Solving problems with quantum annealing

Quantum computing is increasingly becoming a big player in digitization and will provide competitive advantages in industry and business. The Canadian company D-Wave Systems has been involved in the development and commercial use of quantum computers for almost exactly ten years. Murray Thom is Vice President of Software and Cloud Services at D-Wave and is responsible for the application possibilities of quantum computing
Vascular Roadmap Generation by Registration and Blending of Multiple Enhanced X-ray Angiograms

In catheterization for hepatoma, contrast areas in X-ray angiograms are enhanced to visualize the blood vessel structures. However, it is difficult to observe the entire blood vessel in several cases due to an incomplete contrast filling during imaging. The present paper generates a vascular roadmap that enables visualization of an entire blood vessel by combining multiple enhanced images. Since images of different temporal phases are distorted by body motion, corrections by non-rigid registration are needed. We first estimated the feature-based deformations between temporally adjacent images. Then, we registered temporally distant images by accumulating the images. Finally, the vascular roadmap was generated by blending the motion-corrected images. The proposed method was applied to 13 angiograms and was compared with other registration methods. As a result, the proposed method achieved efficient deformation with a shorter processing time and generated a vascular roadmap with improved vascular structure visibility.
Adchocratic approach to management in the higher education system: Case of the Astrakhan State University

Currently, state institutions of higher education are under pressure from business, the population and the state, which leads to the creation of conditions for dynamic changes in the internal environment of universities. This contradiction between the internal and external environment of universities in the conditions of dynamically changing markets at the post-industrial stage has a negative impact on institutional efficiency, and in these conditions, with the acceleration of instability, a third managerial structure begins to appear that can satisfy the demand for innovations organizations to hybrid universities, which combine a professional, administrative bureaucracy and adhocracy, with no severe restrictions in its structure. In this regard, the authors adapted the features of adhocratic organizations to the conditions of higher education, considered the possibility of applying an adhocratic approach to building the structure and design of an organization on the example of the Astrakhan State University, and identified a number of factors that limit the spread of adhocracy in Russian universities. The main results of the study and the following conclusions were obtained: the organization of training should be carried out on the principles of teamwork for the implementation of complex innovative projects, for which it is necessary to create and develop an appropriate facilities and resources; socialization is one of the key practical models for preparing students in the context of project-based learning and an adhocratic approach; any adhocratic system is a self-learning system, the formation of which requires the creation of appropriate conditions for training and development of university staff; the transition from a professional university to an adhocratic one must be carried out gradually, combining both forms of bureaucracy and adhocracy.
Weakly supervised salient object detection via double object proposals guidance

The weakly supervised methods for salient object detection are attractive, since they greatly release the burden of annotating time-consuming pixel-wise masks. However, the image-level annotations utilized by current weakly supervised salient object detection models are too weak to provide sufficient supervision for this dense prediction task. To this end, a weakly supervised salient object detection method is proposed via double object proposals guidance, which is generated under the supervision of double bounding boxes annotations. With the double object proposals, the authors' method is capable of capturing both accurate but incomplete salient foreground and background information, which contributes to generating saliency maps with uniformly highlighted saliency regions and effectively suppressed background. In addition, an unsupervised salient object segmentation method is proposed, taking advantage of the non-parametric statistical active contour model (NSACM), for segmenting salient objects with complete and compact boundaries. Experiments on five benchmark datasets show that the authors' weakly supervised salient object detection approach consistently outperforms other weakly supervised and unsupervised methods by a considerable margin, and even has comparable performance to the fully supervised ones.
Students’ Speaking Anxiety in English Education Study Program

This study explores speaking anxiety: the identification of speaking anxiety in English education study program. Using a mixed methods approach, this research selected two different categories, students studying in English Education Department private university and those studying in English Education Department in public university as research participants. The findings suggest that the main factors of speaking anxiety causes at public university were essentially affected by nervousness and idea delivery. Nevertheless, English students in private university claimed that their dominant cause is rooted from self-confidence; considering mistakes and lecturers’ attitude during English speaking performance. This research is beneficial in enriching literature in the scope of English education department, especially in Indonesia and others state adopting English as foreign language. It is crucial to note that students’ voice is worth to listen, as a reflection for English teachers or lecturers identifying their students’ speaking anxiety to apply appropriate and a more effective learning method. &#x0D;
An Error Analysis Framework for Shallow Surface Realization

Abstract The metrics standardly used to evaluate Natural Language Generation (NLG) models, such as BLEU or METEOR, fail to provide information on which linguistic factors impact performance. Focusing on Surface Realization (SR), the task of converting an unordered dependency tree into a well-formed sentence, we propose a framework for error analysis which permits identifying which features of the input affect the models’ results. This framework consists of two main components: (i) correlation analyses between a wide range of syntactic metrics and standard performance metrics and (ii) a set of techniques to automatically identify syntactic constructs that often co-occur with low performance scores. We demonstrate the advantages of our framework by performing error analysis on the results of 174 system runs submitted to the Multilingual SR shared tasks; we show that dependency edge accuracy correlate with automatic metrics thereby providing a more interpretable basis for evaluation; and we suggest ways in which our framework could be used to improve models and data. The framework is available in the form of a toolkit which can be used both by campaign organizers to provide detailed, linguistically interpretable feedback on the state of the art in multilingual SR, and by individual researchers to improve models and datasets.1
KESALAHAN BUNYI SIMAKAN PEMELAJAR BIPA TINGKAT PEMULA ASAL TIONGKOK

Listening skills are language skills that affect the development of language learning, especially for second language learners. In the learning process of listening skills, mistakes often occur. This can happen because of the influence of the first language on the second language learning process. This study aims to describe the sound errors by observing beginner BIPA learners from China who do not use the alphabet in their first language. This research is a text analysis research which analyzes the sound errors by listening to BIPA students' writing. Based on the analysis that has been done, it can be concluded that there are three categories of sound errors, namely changes in the sound at the beginning of the word, the middle of the word, and the end of the word. Each of these categories has changes, omissions, and even added sounds. (1) In the mistakes at the beginning of words, learners make many mistakes in bilabial, dental, and velar inhibitory sounds. (2) For errors in the middle of a word, learners made many mistakes in inhibiting, nasal, vibrating, and lateral sounds, as well as removing nasal sounds and adding vibrating consonants. (3) In the error at the end of the word, the learner removes the final consonants of the inhibiting and fricative sounds, as well as changing the nasal sound, the fricative sound becomes a vibration, and the glotal fricative sound becomes a dental plosive sound.
An Analysis of Students’ Mastery of Vocabulary

Vocabulary is an important thing in English. Therefore, at university vocabulary is a compulsory subject for English language study program. Students cannot speak, write, listen, and read the reading texts when they do not have enough vocabulary to understand them. Thus, students should master vocabulary. The research is a descriptive one. Population is students of UPI YPTK Padang in 2018/2019 academic year. The sample of the research is students of English education faculty. They were thirty four students. The data were collected by using test and questionnaire. The test is given to know students’ ability in vocabulary mastery. It consists of thirty questions. It consists of matching test for giving definition of a word, filling blank space and finding new vocabularies from unarranged letters. The result of the test showed that different abilities of students in mastery vocabulary. The students can find new vocabularies from unarranged letters. This was an interesting activity for them. Then, in matching the vocabularies to the definitions or synonyms, the students also could do it. The questionnaire proved that students have good ability in mastery vocabulary but they have some difficulties related to the some aspects such as grammar and spelling.
Persepsi Mahasiswa Universitas Muhammadiyah Palopo terhadap Pelaksanaan Pembelajaran Daring Saat Pandemi Covid-19

This research is a qualitative descriptive study which includes data collection, data reduction, data presentation, and conclusion drawing. The population in this study were all undergraduate students of the Muhammadiyah University of Palopo for all the subjects taught by the author. Samples were taken using purposive sampling technique which is only aimed at students who take courses that are taught by the author in several majors, one of which is the accounting department. The data in this study were obtained through a questionnaire that was filled out online by students using Google Form. The questionnaire used was adapted from the practical course service satisfaction questionnaire issued by the Center for Learning Development and Education Quality Assurance (P4MP) Bengkalis State Polytechnic, where the questionnaire consisted of three aspects of assessment namely (a) aspects of teaching and learning, (b) aspects of competence lecturers, and (c) infrastructure aspects. From the results of the analysis, the results obtained for the teaching and learning aspects of the majority (110 or as many as 68%) of students thought that online learning could be accessed well, besides the results of manual calculations using the Ms. application. Office Excel obtained an average result for the teaching and learning aspects of 3.28
Forced Transition to Distance Learning: Students’ Expectations and Concerns

Spring 2020 saw most Russian universities’ switch to distant learning due to the threat of COVID-19. The forced transition imposed new demands on faculty and students, who had to quickly adapt to the new educational conditions. These changes raised concerns about the quality of distant learning. The purpose of this study was to identify which students expressed more anxiety on expecting difficulties associated with a lack of understanding educational material under new circumstances. The study was based on the data of 6,230 Ural Federal University students polled in March 2020. Regression data analysis showed that the fear of not being able to cope with learning was more typical for the 1st and the 2nd year bachelors, for students who lowly estimate their self-regulated learning skills, for students who expected difficulties of communicating with teachers and of being motivated, as well as for students who attended classes for the sake of learning. The authors discuss possible measures to support students in the conditions of rapid and mass transition to distant learning.
A New Image Encryption Scheme Using Dual Chaotic Map Synchronization

Chaotic systems behavior attracts many researchers in the field of image encryption. The major advantage of using chaos as the basis for developing a crypto-system is due to its sensitivity to initial conditions and parameter tunning as well as the random-like behavior which resembles the main ingredients of a good cipher namely the confusion and diffusion properties. In this article, we present a new scheme based on the synchronization of dual chaotic systems namely Lorenz and Chen chaotic systems and prove that those chaotic maps can be completely synchronized with other under suitable conditions and specific parameters that make a new addition to the chaotic based encryption systems. This addition provides a master-slave configuration that is utilized to construct the proposed dual synchronized chaos-based cipher scheme. The common security analyses are performed to validate the effectiveness of the proposed scheme. Based on all experiments and analyses, we can conclude that this scheme is secure, efficient, robust, reliable, and can be directly applied successfully for many practical security applications in insecure network channels such as the Internet
PENGARUH MEDIA PEMBELAJARAN DARING TERHADAP PENGETAHUAN BELAJAR MAHASISWA AKUNTANSI

Instructional media is one of important factors that affect students’ understanding on the learning materials. The main purpose of this study is to examine the impact of instructional media especially e-learning on students’ knowledge in a business education context based on E-learning theory. Data collected from 80 valid respondents at two well-known private universities in Bandung were used to test the research hypothesis using simple regression method. The results indicate that e-learning is perceived as a useful approach for helping accounting students acquire knowledge. This study implies that e-learning may be considered as one approach to deliver knowledge in a business education domain.
A Study on Phishing Attack during the Covid-19 Lockdown

Phishing is a mendacious attempt for gathering the sensitive information like debit MasterCard , net banking other secure details, user names and passwords.A standard approach in phishing is through the transmission of messages and email communication with an embedded hyperlink.The detection and mitigation of phishing attacks are a big challenge because of the complexity of current phishing attacks.Existing techniques are often too much time consuming to be applied in the real world in terms of detection and mitigation approach.Phishing is becoming more malicious during covid-19 lockdown and its detection and awareness is extremely important.Objective of this paper is to develop more security and protection requires by both users and enterprises towards the safe services.We discuss types of phishing, phishing impact during the covid-19 lockdown and methods to teach and train users against phishing.
Development of the Software for the Electronic Library «Scientifi c Heritage of Russia»

The data structure and software of the Scientific Heritage&#x0D; of Russia electronic library was created in 2007 and currently does not meet the needs of the system. The article describes the decisions made when implementing a new version of the software. These decisions affect both the organization of the database structure and the protocols for interacting with&#x0D; the system. Particular attention is paid to the development of information retrieval tools.
Modeling Compositional Regression With Uncorrelated and Correlated Errors: A Bayesian Approach

Compositional data consist of known compositions vectors whose components are positive and defined in the interval (0,1) representing proportions or fractions of a "whole".The sum of these components must be equal to one.Compositional data is present in different knowledge areas, as in geology, economy, medicine among many others.In this paper, we propose a new statistical tool for volleyball data, i.e., we introduce a Bayesian anal-ysis for compositional regression applying additive log-ratio (ALR) trans-formation and assuming uncorrelated and correlated errors.The Bayesian inference procedure based on Markov Chain Monte Carlo Methods (MCMC).The methodology is applied on an artificial and a real data set of volleyball.
Leaving No Stone Unturned: Flexible Retrieval of Idiomatic Expressions from a Large Text Corpus

Idioms are multi-word expressions whose meaning cannot always be deduced from the literal meaning of constituent words. A key feature of idioms that is central to this paper is their peculiar mixture of fixedness and variability, which poses challenges for their retrieval from large corpora using traditional search approaches. These challenges hinder insights into idiom usage, affecting users who are conducting linguistic research as well as those involved in language education. To facilitate access to idiom examples taken from real-world contexts, we introduce an information retrieval system designed specifically for idioms. Given a search query that represents an idiom, typically in its canonical form, the system expands it automatically to account for the most common types of idiom variation including inflection, open slots, adjectival or adverbial modification and passivisation. As a by-product of query expansion, other types of idiom variation captured include derivation, compounding, negation, distribution across multiple clauses as well as other unforeseen types of variation. The system was implemented on top of Elasticsearch, an open-source, distributed, scalable, real-time search engine. Flexible retrieval of idioms is supported by a combination of linguistic pre-processing of the search queries, their translation into a set of query clauses written in a query language called Query DSL, and analysis, an indexing process that involves tokenisation and normalisation. Our system outperformed the phrase search in terms of recall and outperformed the keyword search in terms of precision. Out of the three, our approach was found to provide the best balance between precision and recall. By providing a fast and easy way of finding idioms in large corpora, our approach can facilitate further developments in fields such as linguistics, language education and natural language processing.
MENINGKATKAN KETERAMPILAN MENULIS PUISI MELALUI MEDIA TULISAN BERGAMBAR (MEME) DI INSTAGRAM PADA PESERTA DIDIK KELAS VIII G SMPN 24 SURABAYA

This research is a research follow class by using the secound cycle that there is the first cycle and cycle II. On the cycle I and cycle II each cycle there four stage of the (1) planning, (2) implementation of action, (3) observations, and (4) reflection. Each cycle has two meetings in one week, namely the first meeting and the second meeting with the allocation 2 x 40 minutes of each meeting. Subject in research is learners class VIII G SMPN 24 Surabaya totaling 37 learners contained 16 learners men and 21 learners woman. This school is located in Jl. Kebraon Indah Permai Blok K/23 A Surabaya. Data collection techniques to use the observation and test, data analysis technique using the percentage of. Based on the results of data analysis, it can be concluded that using pictorial writing media on the meme on Instagram can improve the writing skills of class students VIII G SMPN 24 Surabaya. This can be seen from (1) population activity in the cycle I 84,61% on the cycle II 100%, (2) activity learners in cycle I 83,44% on the cycle II 90,20%, (3) the test results writing skills poerty in cycle I 56,73% one the cycle of II increased 83,70%.
On the Behavior of One Finite Automaton in a Fuzzy Environment

Considered by the behavior of the finite automaton in a fuzzy environment that punishes or encourages an automaton with some fixed membership functions that are independent of time.Using the properties of the generalized Markov chain it is shown that the finite automaton under consideration in a fuzzy environment learns and more often performs that the action the punishment for which is minimal.
In-Depth DCT Coefficient Distribution Analysis for First Quantization Estimation

The exploitation of traces in JPEG double compressed images is of utter importance for investigations. Properly exploiting such insights, First Quantization Estimation (FQE) could be performed in order to obtain source camera model identification (CMI) and therefore reconstruct the history of a digital image. In this paper, a method able to estimate the first quantization factors for JPEG double compressed images is presented, employing a mixed statistical and Machine Learning approach. The presented solution is demonstrated to work without any a-priori assumptions about the quantization matrices. Experimental results and comparisons with the state-of-the-art show the goodness of the proposed technique.
DASHBOARD INFORMATION SYSTEM OF PEMINJAMAN UANG (PINANG) APPLICATION

Pinang is a digital application-based BRI Agro product that runs on the Android operating system, wherewith this application customers can apply for loans without collateral digitally, anywhere, and anytime. Of course, we need a system that can help the process of managing data from Pinang customers, starting from adding company cooperation with the Pinang application to maintaining and monitoring the system. So a Pinang dashboard information system is needed that can assist in the operation of the Pinang application that is capable of managing data, monitoring, and maintenance if there are problems in the Pinang application borrowing process. The Pinang dashboard can make it easier to manage, monitor, and provide information related to the Pinang application, including customer status, whitelist, repayment, disbursement, outstanding, ID card approval, and report withdrawal. The areca dashboard is built using the waterfall method, this method in its design uses UML diagrams, use case diagrams, activity diagrams, sequence diagrams, class diagrams, and entity-relationship diagrams (ERD). The implementation of making Pinang dashboards uses the Golang programming language, Node Js, React Js, keycloak, and the PostgreSQL database. With the Pinang Dashboard, it is hoped that it can facilitate the operational team in maintaining the Pinang application and building a system that can manage, monitor, and provide information related to the Pinang application.&#x0D;