Reviewerly/exHarmony huggingface dataset:
Retraction: Research on Algorithms of University Course Multimedia Assistant System Based on Scientific Human-Computer Interaction (J. Phys.: Conf. Ser. 1982 012079)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 9 September 2022
Developing Scientific Article Writing Materials Using a Hybrid Learning Approach: Insights from an Indonesian Language for Foreign Speakers (BIPA) Program

This study aims to produce learning materials for writing scientific articles for foreign students using the hybrid learning approach. This approach was chosen by utilizing the advantages of offline classes combined with online classes. This approach is in accordance with the characteristics of students as millennials. The development research method used consists of product design, product design, production, and product testing. The end result is learning materials to write scientific articles that are packaged in the form of modules, starting from the debriefing of concepts (f2f), planning of writing (f2f), writing a draft (ol), and editing the draft (f2f) writing process-genre based scientific articles with a hybrid learning approach for foreign students
Clean Living Culture through Online Learning Using Digital Media for Junior High School Students

The purpose of this study was to analyse the teaching of clean and healthy living culture in daily life through online learning using digital media. This learning uses Zoom meetings, google forms and the Wordwall site and provides pretest and posttest before and after learning to 22 junior high school students in Dayun District. Learning begins by introducing a clean and healthy living culture and the use of digital media such as Zoom meetings, Google forms and the Wordwall site. Pretest and Posttest are given through Google Forms with 20 questions. The results of the pretest and posttest given, show on average that students can know well the culture of clean and healthy living in daily life by using digital media as much as 81.82 points, but in using digital media as a tool for learning for students less can be said. This is due to various obstacles faced by students including, students rarely interact with teachers via zoom and only give homework through Google Classroom and WhatsApp, there are network problems or signals that occur when online learning takes place and lack of knowledge of digital media used such as laptop or cell phone. In this case, the introduction to sites such as Wordwall is also very minimal, so it requires a lot of interaction in using the site. This research can provide new information about learning the culture of clean and healthy living through online learning using digital media and shows the obstacles in using it
Implementasi Webqual dan End-User Computing Satisfaction untuk Menganalisis Kualitas dan Kepuasan Pengguna Website

A website is one of the choices of means used to facilitate an agency in providing information. A quality website is a website that can give satisfaction to users. The availability of features on the website that suit user needs, attractive website appearance, easy-to-remember steps, and feedback are some of the essential points that can satisfy users. Madrasah Aliyah Negeri (MAN) Singkawang is a school that uses a website to provide information; until now, the MAN Singkawang website has never measured the quality of the website, so schools do not know the user satisfaction. This study aims to implement the Webqual and EUCS methods to determine the effect of website quality on end-user satisfaction. The test is carried out through several levels, namely, validity test, reliability test, t-test, F test, and coefficient of determination test. The results of the statement test stated that all questions were valid and reliable; there was a positive and significant influence of website quality through the independent variables Webqual and EUCS on the dependent variable user satisfaction (satisfaction), either partially or simultaneously. The coefficient of determination test results obtained a value of 58.8%, meaning that the ability of the independent variable to provide an explanation related to the dependent variable is relatively high. In other words, the independent variable offers a lot of information needed to predict the dependent variable. As for the calculation of user satisfaction on the MAN Singkawang website, a user satisfaction value of 83% is obtained. This value indicates that the students of MAN Singkawang are very satisfied through the quality provided on the MAN Singkawang website.
Visualization and Data Analysis 2022 Conference Overview and Papers Program

The Conference on Visualization and Data Analysis (VDA) 2022 covers all research, development, and application aspects of data visualization and visual analytics.Since the first VDA conference was held in 1994, the annual event has served as a major venue for visualization researchers and practitioners from around the world to present their work and share their experiences.
Media Watermarking, Security, and Forensics 2022 Conference Overview and Papers Program

The ease of capturing, manipulating, distributing, and consuming digital media (e.g. images, audio, video, graphics, and text) has motivated new applications and raised a number of important security challenges to the forefront. These applications and challenges have prompted significant research and development activities in the areas of digital watermarking, steganography, data hiding, forensics, media identification, and encryption to protect the authenticity, security, and ownership of media objects. Research results in these areas have translated into new paradigms and applications to monetize media objects without violating their ownership rights. The Media Watermarking, Security, and Forensics conference is a premier destination for disseminating high-quality, cutting-edge research in these areas. The conference provides an excellent venue for researchers and practitioners to present their innovative work as well as to keep abreast with the latest developments in watermarking, security, and forensics. The technical program will also be complemented by keynote talks, panel sessions, and short demos involving both academic and industrial researchers/ practitioners. This strong focus on how research results are applied in practice by the industry gives the conference its unique flavor.
Computational Imaging XX Conference Overview and Papers Program

Twenty years ago, when this conference first coined the term "Computational Imaging", it was created as an interdisciplinary forum for researchers on how computation can be used to create images from data.Since then, Computational Imaging has grown enormously as an established discipline.Across diverse applications and fields, remarkably similar imaging problems appear, requiring sophisticated mathematical, statistical, and algorithmic tools.This conference focuses on imaging as a marriage of computation with physical devices.It emphasizes the interplay between mathematical theory, physical models, and computational algorithms that enable effective current and future imaging systems.Contributions to the conference are solicited on topics ranging from fundamental theoretical advances to detailed system-level implementations and case studies.
Hubungan Kausalitas antara Sentimen Investor dan Pasar Keuangan Indonesia

This study aims to see the causal relationship that occurs between investor sentiment-based google search and the Indonesian stock-bond market in 2020. The test used in this study is a combined test between the quantile test to see the effect of investor sentiment on optimistic (pessimistic) conditions and the Granger causality test to detect the causal relationship that occurs between variables. The results of the study found that there was a one-way relationship between investor sentiment and the Indonesian stock market where investor sentiment affects the stock market. Interestingly, in the bond market, causal relationship between variables can’t be found. This study also found that the causal relationship between investor sentiment variables and financial markets only occurs when the optimistic and pessimistic conditions of investors aren't in extreme conditions.
The Time-varying Impact of Covid-19 Pandemic on Cryptocurrency: Evidence from VAR and AEMA-GARCH models

To represent the relationship between cryptocurrency market and the Covid-19 pandemic, this paper chose the closing price of BTC and ETH and daily new confirmed cases in China, America, and the global to build VAR and ARMA-GARCH models. After missing data dropped, this paper collected data from Jan 24th, 2021 to Feb 24th, 2022, and there are totally 757 samples in these 2 models. ADF test was used to test the time-series variables’ stability. This paper used HQIC, PACF and ACF to identify VAR, AR and MA order, respectively. Empirical results found that the pandemic had a negative effect on the yield of BTC and ETH. This paper found that the effect of the pandemic in China and America was similar but different from that of global in the long term.
Comparative Study on Quality Characteristics of International Accounting Standards and Chinese Accounting Standards

Whether accounting information can meet the needs of users depends on the quality of accounting information. The internationalization level of accounting standards reflects the degree of integration of a country's economy with the world. With the development of economic globalization and rapid progress of science and technology, the market economy is becoming more and more active. Meanwhile, the trade between various countries is becoming more and more frequent, which promotes the economic and trade cooperation between various countries. The demand for international convergence of accounting standards is becoming increasingly strong, and the relevant concept arises at the historic moment. In order to make the cooperation between countries more convenient and fast, countries began to integrate into the financial regulatory framework reform process of cooperation, and strive for the global unified high-quality accounting standards can be completed in a timely manner. This paper compares and analyzes the differences between Chinese and international accounting standards in terms of information quality characteristics from two aspects of content and level, summarizes the convergence and development trend of international accounting standards, and puts forward some suggestions for China to formulate accounting standards.
Aspects on Image Edge Detection Based on Sensitive Swarm Intelligence

Nowadays, swarm intelligence shows a high accuracy while solving difficult problems, including image processing problem. Image Edge detection is a complex optimization problem due to the high-resolution images involving large matrix of pixels. The current work describes several sensitive to the environment models involving swarm intelligence. The agents’ sensitivity is used in order to guide the swarm to obtain the best solution. Both theoretical general guidance and a practical example for a particular swarm are included. The quality of results is measured using several known measures.
ENABLING A SUPPLY CHAIN SCOR MODEL FOR STRATEGIC DECISION-MAKING AND GROWTH OF THE HIGHER EDUCATION SECTOR IN JORDAN

As higher education is has become more productive and business-like in the past two decades, it is not surprising that business techniques have been promoted as the best method for higher education institutions to meet the challenges associated with these changes. This study enables the SCOR model of supply chain management for strategic decision-making and growth of the higher education sector in Jordon. The relevant data were taken from Scopus, Web of Science, Google Scholar, public records, blogs, articles, journals, theses, and dissertations. The study finds that the university supply chain is majorly used to reduce the gap between higher education graduates and the job industry. The study also finds that the SCOR application in the education sector will help the educational institutes to better develop the plan to execute in the future and better use the resources, which will help develop a better curriculum, deliver the best course with the help of resources, and, as an end product, graduate students with knowledge and skills that the service industry needs without the gap in the supply and demands. In conclusion, the study finds that the SCOR model presents a good catalyst for higher education organizations for consideration in change.
A secured data sharing framework for dynamic groups using an attribute-based cryptography in public cloud: agri-cloud

A secured data sharing algorithm is implemented across the dynamic users in the cloud using an efficient attribute based cryptography technique. The proposed data sharing algorithm provides two solutions to the effective usage of resources to the organisational data storage. Initially, E-ABBE scheme and the latter group-based ABE technique help to provide a flexible, confidential and easy key management method. The overhead of computation will still be constant and will not take account of the number of users and revoked users in the group which ensures privacy and security to utilise the cloud resources by the group users; these solutions are applied for agriculture data in an agri-cloud drive for such dynamic groups using techniques. The performance analysis of the proposed method has been assessed by simulating it in Cloud Sim tool and the results are compared with MONA.
Ontology-Based Resource Modeling and Matching Framework in Avionics Systems

In order to realize rapid service-oriented construction of resources and efficient supply-demand matching in avionics systems, an ontology-based resource modeling and matching framework in avionics systems is proposed. First, this paper constructs a hierarchical resource organization framework based on virtual resource pool, covering dispersed and heterogeneous avionics resources and shielding the differences and diversity of resources; next, introduces ontology technology into resource modeling and encapsulates resources as services using the idea of “resource as a service,” facilitating the access and control of resources; in addition, proposes a matching framework which takes into account the energy consumption, in which it firstly tries to find a list of resources which can meet task requirements by a stepwise intelligent matching strategy based on semantic similarity, and the resources in the list will then be sorted according to the energy consumption. Finally, a radar detection case is taken to demonstrate that the proposed model and method are feasible and effective.
Embedding of Q-Learning in Sine Co-Sine Algorithm for Optimal Multi Robot Path Planning

In recent days extensive use of mobile robots has been felt in most of the human inaccessible area for its intelligent behavior. The paper introduces a new approach for solving the path planning problem of multiple mobile robots in clutter environment. The combine benefits of two existing algorithms such as modified Q-learning and sine cosine algorithm (SCA) has been availed by hybridizing MQL and SCA. The Modified Q-learning algorithm (MQL) has been implemented to compute the next position through its automatic reinforment learning power. The SCA algorithm used to apply the greedy selection approach for further refinement of computing the next position. The proposed hybrid algorithm is implemented to address the path planning of mobile robots in both the static and dynamic environment. The algorithm has been validated through simulation environment and real robot platform to justify its superiority as compared to some existing approaches as described in the literature.
A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges

Model-based co-clustering can be seen as a particularly important extension of model-based clustering. It allows for a significant reduction of both the number of rows (individuals) and columns (variables) of a data set in a parsimonious manner, and also allows interpretability of the resulting reduced data set since the meaning of the initial individuals and features is preserved. Moreover, it benefits from the rich statistical theory for both estimation and model selection. Many works have produced new advances on this topic in recent years, and this paper offers a general update of the related literature. In addition, we advocate two main messages, supported by specific research material: (1) co-clustering requires further research to fix some well-identified estimation issues, and (2) co-clustering is one of the most promising approaches for clustering in the (very) high-dimensional setting, which corresponds to the global trend in modern data sets.
Geochemical and Petrological Survey in Northern Ethiopia Basement Rocks for Investigation of Gold and Base Metal Mineralization in Finarwa Area and Its Surrounding Southeast Zone of Tigray, Ethiopia

The study is accompanied in northern Ethiopian basement rocks, Finarwa area and its surrounding areas, south eastern Tigray. The objective of the study is to amendment field geology, mineralogy, and geochemical characteristics to deliberate about the gold and base metal mineral potential investigations. From the field observations the geology of the area haven been described and mapped based on mineral composition, texture, structure and colour of both fresh and weather rocks.The ore mineral under microscope are commonly base metal sulphides pyrrhotite, Chalcopyrite, pentilandite occurring in variable proportions. Galena, chalcopyrite, pyrite and gold mineral are hosted in quartz vein. The base metal sulfides occur as disseminated, vein filling and replacement. Geochemical analyses result from inductively coupled plasma mass spectrometry (ICP-MS) and atomic absorption spectrometry (AAS) indicates the threshold of geochemical anomalies is directly related to the identification of mineralization information. From samples stream sediment samples and the soil samples indicated that the most promising mineralization occur in the prospect area are gold(Au), copper (Cu) and zinc (Zn). This is also supported by the abundance of chalcopyrite and sphalerite in some highly altered samples. The stream sediment geochemical survey data shows relatively higher values for zinc compared to Pb and Cu. The moderate concentration of the base metals in some of the samples indicates availability base metal mineralization in the study area requiring further investigation. In addition the sulphide concentrations in the research area are related to different stages of mineralization and are controlled both by structures and lithology. They are well established in the slate-phyllite and metavolcanics along the shear zones and faults as disseminated and vein filling. The rock and soil geochemistry shows significant concentration of gold with maximum value of 0.33ppm and 0.97 ppm in the south western part of the study area.
Fuzzy Flower Pollination Algorithm (FFPA): Comparative Study of Type-1 (T1FLS) and Interval Type-2 Fuzzy Logic System (IT2FLS) in Optimization Parameter Adaptation

State-of-the-art algorithms are competitive, because they get the most out of available resources. Metaheuristic algorithms solve optimization problems from a search space. The proposal in this research work is to use the algorithm bio-inspired by nature Flower Pollination Algorithm (FPA) for the optimization of the membership functions of an Interval Type-2 Fuzzy Logic system, which we will call IT2FLS-FPA (Interval Type-2 Fuzzy Logic System-Flower Pollination Algorithm). This work is presented to continue with one that we developed before [6], in this investigation we made a comparison between a non-optimized IT2FLS-FPA and an optimized IT2FLS-FPA where we demonstrate that the latter is better by means of statistical hypothesis tests.
Solution Stability in Evolutionary Computation*

In this paper we show that evolutionary pressure towards stable solutions has a significant impact on the evolutionary process. More stable solutions are less likely to be degraded by variation operators such as crossover and mutation. In particular, our results show that the pressure towards stable solutions has a significant influence on the evolutionary selection of terminals in genetic programming. We solve the same problem using a genetic algorithm with a linear encoding. We observe similar effects with the GA showing that the behavior translates to a variety of evolutionary paradigms.
Investigating Toefl iBT Writing Tasks (A Case-Study of EFL Learners)

According to (Sharpe, Orientation to the TOEFL iBT, 2019), the TOEFL iBT assesses the test-taker’s ability to understand and use English for academic purposes. The TOEFL has four sections: listening, reading, speaking, and writing, each with its own set of instructions. The writing section assesses test-takers' ability to write essays in English. They write one essay about an academic topic (integrated task) and one essay about a familiar topic during the test (independent task). The academic essay requires them to relate information from a reading passage to information from a listening passage. The researchers conducted a similar study to learn about EFL learners' challenges when taking the test to improve TOEFL iBT writing instruction strategies. This study aims to investigate the errors and to discover if there are any new findings, as diverse techniques are found in participants' writing tasks, which could provide more general information for researchers and readers. The results showed that the typical grammar errors were almost in line with the previous studies. Another comparison was that Khoshkou and Keyvanfar did not provide missed information and conclusion insertions as other typical mistakes in the integrated task. However, the other errors—plagiarism, adding one's ideas, and question-addressing—are consistent with the study's findings. It suggests the researchers, as TOEFL iBT tutors, emphasize paraphrasing techniques and for participants with weaker English proficiency need more practice time to advance.
Multitarget Pedestrian Tracking Algorithm Based on a Contour Template with Multiscale Stability

In order to overcome the problems of high error rate and poor tracking effect of traditional tracking algorithms, a multitarget pedestrian tracking algorithm based on a contour template is designed in this paper. The pedestrian template is divided into several contour regions by template voting strategy and pedestrian features are classified by regional feature similarity classification. Then, the score function is selected to realize the multiobjective pedestrian feature division, and the multicontour template matching is realized according to the similarity of deformation diversity. According to the matching results, the detection and tracking of multitarget objects are realized. The experimental results show that the feature recognition accuracy of the algorithm is between 93% and 98%, the tracking error of pedestrian gravity center position is always below 5%, and the tracking time is always below 5 S in different video frame scales, which fully proves the effectiveness of the algorithm.