Reviewerly/exHarmony huggingface dataset:
A secure cloud system for maintaining COVID-19 patient's data using image steganography

Background: The COVID-19 pandemic has been life-threatening for many people and as such, a contactless medical system is necessary to prevent the spread of the virus. Smart healthcare systems collect data from patients at one end and process the acquired data at the other end. The cloud is the central point and the communication happens through insecure channels1. The main concern, in this case, is the violation of privacy and security as the channel is untrusted. Traditional methods do not provide enough hiding capacity, security, and robustness2,3. This work proposes an image steganography method using the deep learning method to hide the patient&apos;s medical images inside an innocent cover image in such a way that they are not visible to human eyes which reduces the suspicions of the presence of sensitive data. Methods: An auto encoder-decoder-based model is proposed with three components: the pre-processing module, the embedding network, and the extraction network. Features from the cover image and the secret images are extracted and fused to reconstruct the stego image. The stego image is then used to extract the ingrained secret image. Figure 1 shows the overall system workflow. Results: Peak Signal-to-Noise Ratio (PSNR) is the evaluation metrics used. The ImageNet dataset was used for training and testing the proposed model. Figure 2 shows the image results of the proposed method. Conclusion: During a COVID-19 screening test, private patient data such as mobile number and Qatari identity card are collected, transferred, and stored through untrusted channels. It is of paramount importance to preserve the privacy, security, and confidentiality of the collected patient records. A secure deep learning-based image steganography method is proposed to secure the sensitive data transferred through untrusted channels in a cloud-based system.
Combining Research and Education to Advance Okayama University: Innovative Strategies to Return onto the Road of Success

For many years, there have been numerous attempts by the Japanese Government (MEXT in particular) to help Japanese Universities to keep pace with their counterparts in international developed nations. In 2020, only 3 of them remain in the top 100 of the ARWU list, and the ranking of Japanese universities continues to be significantly on decline. Based on the well-known Humboldt model, putting research at the core of the system, an innovative development strategy has been implemented at Okayama University. The paper details the major features of the method and finally concludes on the possible extension of the model to numerous Japanese universities where research teams are significantly present.
The Governance of Covid-19 Pandemic Health Emergency in Italy: A Constitutional Perspective

The essay focuses on the measures that have been taken in Italy to limit the contagion with Coronavirus in the first phase of the health emergency in 2020. The Italian Government was the first to face the epidemiological crisis in a constitutional democracy. The lockdown was one of the most drastic in Europe. On the one hand, fundamental freedoms of individuals have been compressed; on the other, the objective of limiting the expansion of the contagion in the early stage of pandemic expansion has been achieved, probably saving all European countries from an ungovernable health crisis before a minimal preparation. Even some critical aspects in the decision making process could be highlighted from a constitutional law perspective, the Author believes that the temporary measures, although drastic, not exceeded the limits allowed by the Italian Constitution, nor they seriously affected the balance between the powers at least in the first/second phase.&#x0D; The majority of Parliament approved ex post the law-decrees adopted by the Council of Ministers, demonstrating that it share the Government’s political position. Furthermore, in a very short time, the Italian people, in their vast majority, spontaneously adapted to the imposed prohibitions, demonstrating a sense of responsibility and solidarity towards the most vulnerable categories with respect to the effects of the virus (elderly and sick people, for example).&#x0D; The reasons of the economy, which would have required not to stop business activities, have been temporarily recessive with respect to the protection of the health of the community. This decision seems to find its ultimate foundation in the Article 2 of the Italian Constitution which requires everyone to respect the duty of social solidarity.
Implementation of Hill Climbing Algorithm on Tourist Attraction Android Based Application

West Sumatra is one province that has been a popular destination among tourists. West Sumatra is a strategic area that holds natural beauty that is no less great, and this is evenly distributed throughout the region [1]. Data shows that the number of tourist visits continues to increase every year before the pandemic hits Indonesia. Travelers often use google maps to find routes to destinations. However, with little knowledge about the area, people only visit familiar tourist locations. Meanwhile, West Sumatra offers plenty of beautiful places. With those problems in mind, a mobile application is created to help those visitors searching the nearest tourist spots around them in real-time. Not only that, but the system also gives information about the list of places worth visiting in West Sumatra. The system implemented a hill-climbing algorithm to find the shortest path. Based on the evaluation, the application is well accepted for people who want to visit West Sumatra. 94.6% of users agree that this app is useful. The app is handy and fast enough to display the desired result to the users.
Data Fusion in Question Answering Systems over Multiple-Knowledge Bases

The additional ability to span over multiple Knowledge Bases would further increase the usefulness and potentially comprehensiveness of the system's responses.Multiple different Knowledge Bases, as much as they can complement each other regarding the lack of specific information, quite often contain inconsistent pieces of information.This makes data fusing a difficult task.In this paper, we propose a methodology for fusing data retrieved from multiple different Knowledge Bases that use different naming schemas.It also contains a procedure for determining degrees of trustworthiness in the Bases.These degrees are included in the data fusion process.
Formation of the Creative Imagination of Children and Adolescents by the Means of Artistic Pedagogy

The article deals with the main pedagogical conditions and the essence of the creative imagination of children in the artistic and pedagogical process. The author analyzes the pedagogical possibilities of involving children and adolescents in various forms of activation of this activity; the characteristics of different types of creative imagination are given, taking into account the individual psychological characteristics of children. The corresponding method of studying the peculiarities of imagination and its pedagogical potential in the process of introducing the younger generation to the achievements of literature and art is proposed. Further prospects for the development of creative imagination with the use of promising strategies and technologies of art pedagogy are outlined. The article may be of interest to a wide range of specialists in the field of art pedagogy.
E-VOTING POWERED BY BLOCKCHAIN

Blockchain is a new-age technology which provides various digital services. As it is still emerging, besides its benefits or to make it more reliable, it is talked about for its legal issues. Here, we are using Blockchain technology to develop an E-voting System which can make elections economical and easy to conduct. This technology will provide full security and trustworthiness between the public and authorities.
Joyful Learning Meningkatkan Hasil Belajar Mahasiswa Fkip Umsu Pada Mata Kuliah Muamalah

Joyful Learning Improves Learning Outcomes of FKIP UMSU Students in the Muamalah Course that learning is no longer understood as just a process of transferring knowledge but must be practiced by students. As a form of implementation of activities carried out by each student. This study aims to determine whether or not the effects of the problems faced in class are often not in line with expectations. It is in learning muamalah material that students often encounter boredom and difficulty accepting the material. So that students feel uncomfortable with learning so they will do things that can interfere with the learning process. This study aims to determine how much joyful learning is so that classroom learning in the implementation of learning should be held interactively, inspiring, fun, challenging and motivating students to participate actively. The implementation of learning is carried out in a fun way and can have a positive effect on student learning outcomes. Activities carried out by students are doing classroom practice using Joyful Learning .
User interest driven semantic query expansion for effective web search

Retrieving user-relevant content from a large volume of data available on the Web via an input query is a difficult task. A user query may not be able to specify user information needs due to the ambiguous and limited number of query terms. The semantic query expansion (QE) strategy offers a solution to this problem by expanding the query with additional terms, which are semantically similar to the original query. However, this strategy does not consider individual user interest in the generation of expansion terms. In this article, semantic QE is improved by combining the notion of ontology knowledge and user interest. The proposed semantic QE technique involves a computing domain of the input query via ontology, generates expansion terms from the user browsing history, and finally selects expansion terms that represent user preferences on the basis of the semantic similarity between expansion terms and query and user feedback. The experimental evaluation indicates that expanded queries produced by the proposed technique retrieve more personalized contents over Web search than initial user queries. The obtained results achieve 86.4% average precision, which proves a positive impact of incorporating user preferences in semantic QE.
The effectiveness of digital bubble mind map towards learners’ writing ability at Islamic higher education in Kalimantan

The study investigated the effectiveness of bubble mind map to learners’ writing ability at Islamic Higher Education. The participants were 30 EFL students at IAIN Palangka Raya. It was a quasi-experiment design using only one single class.  It applied a counterbalancing procedure to give the intervention in two conditions: using free writing (A) and Bubble mind map (B). In counterbalancing, the participants were used in an intact group. All subjects were as an experiment group. Group 1 was treated using A intervention and test 1. Afterwards, they are treated using B intervention and test 2. Then, group 2 are given B intervention and test 2. Then, they received intervention A and test 1. The analysis was performed through t paired samples t test to analyze learners’ writing score using free writing technique and Bubble Mind Map. The analysis revealed a statistical significant difference occurred in the writing score for free writing technique (M= 62.00, SD=10.96) and Bubble Mind Map (M = 69.63, SD=11.60); t (29) = 11.272, p = 0.000. This result suggested that Bubble Mind Map really had an effect on writing score. Specifically, the result suggested that when learners were taught using Bubble Mind Map, their writing achievement performed better.
Teaching Reading Narrative Text Using Story Face in Vocational High School

The aims of this research are to describe the students‘ reading achievement and to find out the effectiveness of using story face in teaching reading narrative text. This research is quantitative using quasi-experimental design with purposive sampling technique. The population was tenth grade students and the sample was the students of X TKR 2 consist of 37 students as experimental group and X TKR 13 consist of 33 students as control group. The technique of collecting data are making instrument, expert judgment and conducting pre-test, treatment and post-test. The pre-test mean score in experimental class was 70.92 and control class was 70.55. Meanwhile, the post-test mean score in experimental class was 68.54 and control class was 67.76. It was obtained that z-value was 0.133 and the z-table was 1.96 for alpha (α) 5%. The z-value was lower than z-table (0.133&lt;1.96) It means that Ha was rejected and Ho was accepted. Therefore, the researcher concludes that story face was ineffective in teaching reading narrative text at the tenth grade students of SMK TKMT Kebume in the academic year of 2019/2020.
THE CORRUPTION PERCEPTIONS IMPACT ON THE ARABIC ECONOMIC DEVELOPMENT. A STANDARD STUDY USING PANEL DATA FROM (2021- 2018)

The present study aims to analyze the impact of corruption on economic development in the Arab States based on annual data between 2012- 2018. Moreover, certain standard analyses were used to achieve this goal including the use of the Panel cross-sectional time series models on the Corruption Perception Index (CPI) as independent variables and per capita GDP as a dependent variable. The study concluded that corruption had a negative impact on economic development, with several differences and disparities in the degree to which economic development among the Arab States is affected by, as result of several factors namely: the nature of the governmental system, where the monarchy was the most stable which distinguished the Gulf States from the rest of the Arab States, in addition to the deteriorating security situation in some Arab States that has exacerbated this phenomenon. French title: L’impact des perceptions de la corruption sur le developpement economique dans les pays Arabes -etude standard utilisant un modele de donnees de panel durant la periode (2012-2018)Cette etude vise a analyser l'impact de la corruption sur le developpement economique dans les Etats arabes sur la base de donnees annuelle entre 2012 et 2018. De plus, certaines analyses standard ont ete utilisees pour atteindre cet objectif, notamment l'utilisation des modeles de series chronologiques transversales du Pane , sur l'indice de perception de la corruption (IPC) en tant  que variables independantes et le PIB par habitant comme une variable dependante. L'etude a conclu que la corruption avait un impact negatif sur le developpement economique entre les Etats arabes qui est affecte par un certain nombre de differences et de disparites, en raison de plusieurs facteurs a savoir : la nature du systeme gouvernemental ou la monarchie qui etait la plus stable; distinguant les Etats du Golfe du reste des Etats arabes, en plus de la deterioration de la situation securitaire dans certains pays arabes qui a exacerbe ce phenomene.
Multi-Source Information Fusion Conflict Processing Algorithm in Internet of Things

In view of the lengthy processing time of the traditional multi-source information fusion conflict processing algorithm, this paper studies this algorithm under the Internet of things. Firstly, multi-source information is extracted and registered, then conflict measurement standards are formulated and, finally, processing rules are determined to complete the processing of multi-source information fusion conflict. The experimental results show that the proposed algorithm has faster processing performance compared with the traditional method, giving it significant practical value.Keywords: Internet of Things; Information Fusion; Conflict; Registration; RulesCite AsQ. Mao, Multi-Source Information Fusion Conflict Processing Algorithm in Internet of Things, Engineering Intelligent Systems, vol. 28 no. 1, pp. 5-14, 2020.
State of Art Survey for Fault Tolerance Feasibility in Distributed Systems

The use of technology has grown dramatically, and computer systems are now interconnected via various communication mediums. The use of distributed systems (DS) in our daily activities has only gotten better with data distributions. This is due to the fact that distributed systems allow nodes to arrange and share their resources across linked systems or devices, allowing humans to be integrated with geographically spread computer capacity. Due to multiple system failures at multiple failure points, distributed systems may result in a lack of service availability. to avoid multiple system failures at multiple failure points by using fault tolerance (FT) techniques in distributed systems to ensure replication, high redundancy, and high availability of distributed services. In this paper shows ease fault tolerance systems, its requirements, and explain about distributed system. Also, discuss distributed system architecture; furthermore, explain used techniques of fault tolerance, in additional that review some recent literature on fault tolerance in distributed systems and finally, discuss and compare the fault tolerance literature.
Adding Negation to Lambda Mu

We present $\cal L$, an extension of Parigot's $\lambda\mu$-calculus by adding negation as a type constructor, together with syntactic constructs that represent negation introduction and elimination. We will define a notion of reduction that extends $\lambda\mu$'s reduction system with two new reduction rules, and show that the system satisfies subject reduction. Using Aczel's generalisation of Tait and Martin-L\"of's notion of parallel reduction, we show that this extended reduction is confluent. Although the notion of type assignment has its limitations with respect to representation of proofs in natural deduction with implication and negation, we will show that all propositions that can be shown in there have a witness in $\cal L$. Using Girard's approach of reducibility candidates, we show that all typeable terms are strongly normalisable, and conclude the paper by showing that type assignment for $\cal L$ enjoys the principal typing property.
LibGuides: Public Speaking: Copyright & Fair Use/Plagiarism

This guide will help speech students with tips and tricks on presenting speeches and projects to an audience.
A Multimodal Analysis of Tourism Brochures for Advertising Tourist Attraction in Mandeh Island, West Sumatra

This study aims at describing verbal and visual elements in Sumbar Holiday tourism brochure of Mandeh Island, West Sumatera. The verbal and visual elements are analyzed by using Cheong′s (2004) generic structure. The researcher used descriptive research method. The data in this research were verbal and non-verbal texts found in Sumbar Holiday tourism brochure of Mandeh Island. The brochure was downloaded from travel and tour agent Instagram account that is chosen randomly. The result of the study reveals that the brochure have all generic structure which is lead, display, emblem (verbal), announcement, enhancer, emblem (visual), tag, and call-and-visit information. The finding of Sumbar Holiday brochure fully supports Cheong′s (2004) theory. The verbal and visual elements support each other and cohere to convey a message to the reader. The message conveyed to readers become more persuasive, and it arouses their interest to use the tour and travel company service.
Mobile App Categorization Based On App Descriptions And Api Calls

Mobile applications in the app store have increased rapidly over the years and with the increasing popularity, the mobile app developers resist getting visibility for their product. An important factor that influences the visibility of an app is how it gets categorized in the app market. A study was made to identify misclassified apps and categorize them to help app users. To uncover the misclassified mobile apps in the app, store a new approach to categorize the related apps together based on their description and API calls has been proposed. A dataset containing 25,000+ mobile apps mined from the Google Play Store were used. The initial step involves grouping the applications into various categories based on the technical description of the mobile applications. Pre-processing of descriptions was done using natural language processing techniques and feature extraction using Latent Dirichlet Allocation (LDA). The work can be split into two halves. Work I focus on clustering which was again carried out in two methods by varying the parameters, Model A was using the features extracted from app descriptions as a parameter, and Model B was using the features extracted from descriptions and API calls as parameters. K-Mean clustering was used as a clustering technique due to its hard-clustering nature. Both the clustered outputs were evaluated and an efficient one was identified. Work II focuses on classifying the app based on app description. Popular machine learning and deep learning models were used for classification and a comparative study was made.
Characteristics Detection from Handwriting using Machine Learning

In this paper, we have proposed a method that will recognize the characteristics of a person based on handwriting. Handwritten recognition is basically a technique in which the computer takes input in the form of an image or document and interprets handwritten input. We have used the Support Vector Machine (SVM) algorithm in our model. While writing we can control our conscious mind about what to write, but not our subconscious how to write. From a handwritten paragraph, the perspective of the writer's internal mind can be discovered. It is a process of interpreting characteristics from patterns in handwriting. Graphology is the analysis of the physical characteristics and patterns of handwriting with an attempt to identify the writer, indicate the psychological state at the time of writing, or evaluate personality characteristics. The accuracy of handwriting analysis depends on the skills and experience of the graphologists. Handwriting analysis means predicting the behavior from a mannerism in handwriting. But the manual process of handwriting analysis is expensive; sometimes it is not precise and may lead to incorrect results. Thus for reducing the errors and improving accuracy this paper proposes an algorithm to recognize the handwriting which is Support Vector Machine (SVM).
Successful Applications Analysis System at PT. Carefastindo Sumbagut Region Using Structural Equation Model

To increase productivity and help achieve quality, time standards, and satisfaction for both consumers and employees within the company can be assisted by applying information technology. The implementation of Enterprise Resort Planning at PT Carefastindo Sumbagut Region needs to be measured for the quality of its use so that the level of success of its implementation is known. The research was conducted by taking samples of employees of PT Carefastindo Sumbagut Region who are ERP users. To measure the success rate of ERP implementation at PT Carefastindo, the main instrument of data collection is a questionnaire and is measured by a Likert scale. The number of respondents in this study were 95 respondents. The data analysis method used is the Structural Equation Model (SEM) with the DeLone and McLean information system success model approach. The results of this study indicate that the ERP implementation model at PT Carefastindo Sumbagut Region is influenced by three variables, namely: system quality, information quality and net benefit.