Reviewerly/exHarmony huggingface dataset:
Secure E-Voting System using Blockchain Technology

With the advent of IoT, gadgets are now becoming more smart and independent. Truth is that the transformation towards the innovation is in progress yet there are still flaws, mainly in security areas like dependence on the data. Keeping in mind the advancement of IoT in the future, trusting in this vast approaching data source is of great importance. Blockchain is reached up to the position where it became the key innovation that will change the way we share data. Providing trust in conveyed situations, without using any advanced technical team is a development, which could change the way of working of numerous enterprises, the IoT amongst them. We can say with confidence that the concept of Blockchain, which is the technology behind crypto currency [3] Bitcoin [1], introduced a new era in the world of Internet and online services. In this paper, we will talk about develop a secure E-voting system using Blockchain technology where nobody can manipulate the votes and every user can vote only once. This is possible using the advantage of Ethereum smart contracts [2]. Smart contracts make it a powerful tool for the digitization of services in the Ethereum platform. Blockchain with smart contracts develops a safe, cheap, secure and transparent E-voting system. Ethereum and its network are suitable for it. Due to its consistency, large scale use and provision of smart contract logic. E-voting is an application that is possible using Blockchain technology with infused smart contracts. It needs to be digitalized over the Internet & that's what we will be working upon.
Cross-conformal e-prediction

This note discusses a simple modification of cross-conformal prediction inspired by recent work on e-values. The precursor of conformal prediction developed in the 1990s by Gammerman, Vapnik, and Vovk was also based on e-values and is called conformal e-prediction in this note. Replacing e-values by p-values led to conformal prediction, which has important advantages over conformal e-prediction without obvious disadvantages. The situation with cross-conformal prediction is, however, different: whereas for cross-conformal prediction validity is only an empirical fact (and can be broken with excessive randomization), this note draws the reader's attention to the obvious fact that cross-conformal e-prediction enjoys a guaranteed property of validity.
THE ILLOCUTIONARY ACTS IN THE MOVIE THE DEATH CURE: PRAGMATICS STUDY

Illocutionary act is part of speech acts which are something in order to do something as what the speaker intents. Based on Yule (1996: 48) stated that illusionary act is performed via the communicative force of utterance. Illocutionary act is a performance of act in saying something .Next, based on Vanderveken, Daniel (2009: 97) mentioned illocutionary acts of the meanings in the use and comprehension of language. The finding shows that the dialogue in the Death Cure movie contains each of illocutionary acts. They are representative illocutions, directives, illocutions, committees, expressives, and declarations. 2 types of strategies namely direct strategy, which has a literal meaning in the context and indirect strategy which has implicates in the context of speech, are used by speakers in uttering their speech. The data is taken from The Death Cure Movie. The method used in this thesis is the analytical descriptive- comparative method. It is used to get a clear and objective description of the Illocutionary in the movie.
Merging of Ontologies Through Merging of Their Rules

Ontology merging is important, but not always effective. The main reason, why ontology merging is not effective, is that ontology merging is performed without considering goals. Goals define the way, in which ontologies to be merged more effectively. The paper illustrates ontology merging by means of rules, which are generated from these ontologies. This is necessary for further use in expert systems.
STORY COMPLETION: A TECHNIQUE IN TEACHING SPEAKING

In general, to achieve goals in teaching and learning the teachers can prepare appropriate strategy. This paper discusses a teaching and learning medium of speaking through story completion technique. By using this technique, it can be one of the exciting activities for motivating students in learning English confidently, especially speaking. The technique has activities which enable students to convey their ideas and all students obtain the same opportunities to speak at every meeting. The activities are oral activities that make student relax, happy and fun. The technique equips the students who have good English grammar and have sufficient vocabulary to explore their ideas in speaking. It does not mean that Story Completion technique cannot be used for students who have low English competence. The English teachers could manipulate the class by providing students with vocabularies of certain topic and tenses they will use in their speaking before running the meeting with this technique
A Scalable Chatbot Platform Leveraging Online Community Posts: A Proof-of-Concept Study

The development of natural language processing algorithms and the explosive growth of conversational data are encouraging researches on the human-computer conversation. Still, getting qualified conversational data on a large scale is difficult and expensive. In this paper, we verify the feasibility of constructing a data-driven chatbot with processed online community posts by using them as pseudo-conversational data. We argue that chatbots for various purposes can be built extensively through the pipeline exploiting the common structure of community posts. Our experiment demonstrates that chatbots created along the pipeline can yield the proper responses.
PENGEMBANGAN SISTEM INFORMASI RETENSI REKAM MEDIS DI RUMAH SAKIT DUSTIRA CIMAHI

This study aimed to develop a medical record retention information system with a case study at Dustira Cimahi Hospital. The data collection techniques used were by observations and completed by literature study which had related with the problems. Software development methods was made using waterfull. From the research conducted, it was found several problems associated with the retention information system which has running, such as: the implementation of retention was done directly with sorting out medical record file without the computer, the absence of a retention schedule medical record file, there is no storage space inactive and off medical record file. Therefore it is necessary to develop a medical record retention information system in the form of an application implemented with the Microsoft Visual Basic.Net 2010 programming language and the Database Access System / DBMS Microsoft Access. So that this application is expected to help hospitals in overcoming file retention problems and data retention processing can be better in the future.
An Analytical Workflow for Clustering Forensic Images

Large collections of images, if curated, drastically contribute to the quality of research in many domains. Unsupervised clustering is an intuitive, yet effective step towards curating such datasets. In this work, we present a workflow for unsupervisedly clustering a large collection of forensic images. The workflow utilizes classic clustering on deep feature representation of the images in addition to domain-related data to group them together. Our manual evaluation shows a purity of 89\% for the resulted clusters.
A Collaborative Mobile Based Interactive Framework for Improving Tribal Empowerment

Handling the user interactions and improving the responsiveness of the system through collaborative Recommendation system is the proposed framework. The application will have an interactive form that takes the user details. On valid user access the user is provided with options under a gallery as: Location wise Statistics, Tribes culture, Tribes Request and Tribal activities. The tribal users should be able to present their food products as part of the system. The tourist guest should be able to view the food products and place orders. Recommendation can be provided to the guest based on the past experience. The application will also facilitate for Geo Tagging of the users including tribes to improve their participation. The application will be developed using Android with cloud namely. The user statistics will be presented for region wise in a more visual manner. The Smart phones play a vital role in everyone’s life. In smart phones we have so many applications and the applications need to be tested. The mobile applications are tested for its functionality, usability, and for its consistency. There are two types of mobile application testing. They can be of non-automatic or automatic testing. In this study automated approach is discussed. An android based mobile testing needs native test applications which is used for testing a single platform.
A Lightweight Alternative to PMAC

PMAC is a parallelizable message authentication code (MAC) based on a block cipher. PMAC has many desirable features, such as parallelizability and essential optimality in terms of the number of block cipher calls, and the provable security. However, PMAC needs a pre-processing of one block cipher call taking all-zero block to produce the input masks to all subsequent block cipher calls. This incurs an overhead for both time and memory, which is often non-negligible. In particular, this makes PMAC’s state size 3n bits. To address these issues, we propose a new parallelizable MAC as an alternative to PMAC, which we call $$\text {LAPMAC}$$. $$\text {LAPMAC}$$ enables a high parallelizability, and unlike PMAC, it does not need a pre-processing to create an input mask. This leads to 2n-bit state memory compared to PMAC’s 3n-bit state. Moreover, $$\text {LAPMAC}$$ is highly optimized in terms of the number of block cipher calls, for example it requires exactly the same number of block cipher calls as PMAC when one pre-processing call is allowed, and achieves the same number of block cipher calls as the state-of-the-art serial MACs those do not need the pre-processing call. We prove that $$\text {LAPMAC}$$ is secure up to around $$2^{n/2}$$ queried blocks, under the standard pseudorandomness assumption of the underlying block cipher.
KEEFEKTIFAN DESAIN MEDIA ROLE PLAYING GAMES BERBASIS ANDROID PADA MATERI REDOKS DAN TATA NAMA SENYAWA

Growth of education and technology are related that made teacher must be more creative on educate, one of them is the variation of educational media. This research aims to develop an education games using the Android-based Role Playing Games genres that proper and effective to use in the Redox and Compound Nomenclature. This research refers to ADDIE model. Data collection techniques used method of documentation, tests, and questionnaires. The result of documentation method are students mark that analyzed to gain normality and homogenity of the class that used for experiments. Tests used to measure the classical completeness of student in experimental class with the developed media and control class without it. Questionnaire used to determine responses of respondents to the developed media. The results of the assessment by media experts show that media had scored 44,5 from maximum score 48 and by instructional experts show that media had scored 37 from maximum score 44. Media also said to be effective showed from the class completeness of 84,8% in the experiment class higher than control class that scored 54,3%. Media had very good criteria with percentage of 84,8% showed by students questionnaire and 87,5% showed by teachers questionnaire. Â
Load Balancing in Cloud Through Task Scheduling

Cloud computing is defined as the combination of a parallel, distributed and multi-tenant computing model. Cloud computing provides the feature of delivering the resource-like computing and storage according to the demand of user by providing IAAS, PAAS, and SAAS services using pay- per use model. Due to increment in cloud users on industry the cloud usage increases. This drastic increase in usage of cloud highlights the load balancing need by utilizing some resources effectively according to the changing environment. Task scheduling is a fundamental issue in this environment. Task scheduling is a NP-hard optimization problem, and to resolve this problem many metaheuristic algorithms had been tried. Some good task scheduler changes their scheduling strategy according to the types of tasks and change in environment. In this paper, we improve the load balancing by minimizing the Makespan and Response Time QoS parameters by implementing the complete scheduling process i.e. Process scheduling and CPU scheduling. In our approach, we are using Metaheuristic algorithm ACO (Ant Colony Optimization) for process scheduling, i.e., allocating the processes according to the capacity of the processor and FCFS (First Come First Serve) or RR(Round Robin) for CPU scheduling and compare their performance with FCFS-FCFS and FCFS-RR Experimental results showed that our approach ACO-FCFS, ACO-RR outperformed FCFS-FCFS, FCFS-RR respectively by minimize the Makespan and Response Time and do better Load balancing.
The current practices of changing secure software

Developers change the code of their software to add new features, fix bugs, or enhance its structure. Such frequent changes impact occasionally the security of the software. This paper reports a qualitative study of the practices of changing secure-software in the industry. The study involves interviews with eleven developers and security experts working on banking software, software for control systems, and software consultation companies. Through these interviews, we identified that the main security aspects are: dependency vulnerabilities, authentication and authorization, and OWASP 10 vulnerabilities. The common techniques used to assess software after code change are: code review, code analysis, testing, and keywords search. The main challenges that practitioners face are the diversity of the security issues and the lack of effectiveness of the security assurance tools in detecting vulnerabilities. The study suggests that developers of secure software need techniques that support effective security assurance of modified software.
Forensic Investigation of MP3 Audio Recordings

Special aspects of MP3-recordings technical investigation are addressed. The following features of formation and research of MP3 phonograms are explained: traces of MP3 coding in time and spectral domain, special aspects of MP3-files structure analysis, detection methods of re-coding of MP3-recordings, methods of group identification of MP3-recorders and MP3-codecs. MP3 coding leaves certain traces of its usage. Due to the psychoacoustic model inaudible spectral components are deleted from the signal spectrum. Traces of psychoacoustic codecs usage are also clearly seen via dynamic spectrogram as rectangular areas of zero spectral amplitude. The methods discussed in this paper enable the investigating expert to detect the exact position of the MP3 frame in the signal by its properties even without any information from the file header. This method reveals the coding itself, multiple coding and also audio editing by the investigation of the periodicity of the extracted frames’ positions. MP3 file format specifies the structure of the frame header providing a perfect instrument to detect any periodicity of any peculiarities of MP3 frames. The tool based on this approach reveals MP3 frames disorder caused by editing in the “digital” domain – manual deletion of audio information using HEX editor.
Analysis Of Fraud On A Chinese Business Review Website

Recently, local business-review websites have gained popularity, but the problem of fraud has become more and more severe. We did research based on the biggest Chinese local business-review website: Dazhongdianping. We collected 792,364 reviews of every registered restaurant on the Dazhongdianping website in Hangzhou, and our findings include:1. Compared with US businesses Luca and Zervas (2016) who give both unfavorable reviews to their competitors and favorable reviews to their own business, Chinese businesses focus only on the latter, perhaps because of the differences in business ethics between the two countries.2. Review frauds have a close relationship with the user’s social network. Users with many followers and higher interaction scores are always more powerful than other users, and they also have reasonable incentives to commit fraud. We found that these users are more likely to post fake reviews.3. Finer restaurants are less likely to commit review fraud.
Enrichment Ontology with Updated user Data for Accurate Semantic Annotation

Annotation is considered one of the main applications that semantic web applies.The idea beyond annotation focused on adding metadata to existing information which facilitates machines dealing with data that have meanings and can be readable.Semantic annotation is one of the techniques used for the enrichment of web content semantically, which facilitates writing comments and evaluate previously annotated resources that can lead to better search results.Our framework aims to enrich ontology via embedding data directly to ontology in order to have completed and accurate data.
The geology of Mount Orliakas and the Pindos Ophiolite, Greece.

The Greveniotiki Pindos Mountains of Greece showcases the tectonicsaﬀecting the Central Mediterranean; however no detailed geologicalmaps have been produced of the region. In this study we present a1:10000 geological map of Mount Orliakas and its surrounding areas,including westernmost parts of the Pindos Ophiolite complex and theMesohellenic basin. We also provide new lithological, structural, andpalaeontological discussions of the region and give new evidence forthe provenance of the Kranea Formation.
Synthesizing NPR Styled Street View Animation Based on Deep Learning

More and more serious natural disasters happen nowadays. The inheritance of memories across generations consequently faces bigger challenges, since the traditional devices of saving memories such as diary, album, video tape, and even computer may be permanently damaged or lost during the disasters. Meanwhile, both of the software and hardware technologies keep advancing day by day. Thousands of hometown images have been saved on the Cloud by many internet services, such as Google Map and Google Street View. This gave us a new way to share our precious memories with our families and friends through the internet. However, these web services cannot do everything as we expected. For example, Google Street View images cannot show people under various weather conditions like rainy day or starry night. Therefore, we developed a street navigation system based on the image resources of Google Street View in this paper. By applying different visual effects on different regions, which are image segmented, based on deep learning technologies, this system creates vivid NPR (Non-Photorealistic Rendering) animations. In this way, we can create interesting weather effects and retouch the street images with more richness and variety.
Information school for scientist: modernization in the era of digitalization

The digital transformation and the changes generated in the R&amp;D field determine the high importance of information and digital literacy for researchers. Research and academic libraries have a great potential in the development of information and digital competencies. This is confirmed by many publications of domestic and foreign library specialists. One of the promising areas to increase information and digital literacy of researchers, is the implementation of the educational function in research and academic library in the distance format. Since 2010, the Central Scientific Library of the Ural Branch of the Russian Academy of Sciences organizes the educational course “Information School for Scientist”. Digitalization-based changes in research field and the relevance of distance training have resulted in the need to process the course deeply. The purpose of the article is to determine the way to modernize the educational course in the Central Scientific Library UB RAS. The article presents the direction of content transformation of the course and the option to convert it into a distance format. Content changes suggest the addition of a number of topics, the choice of which is based on an analysis of the components of information and digital knowledge necessary for a modern researcher. The creation of the online course is supposed, will be based on the Moodle course management system. The author concludes that the updated thematic content and presentation format of the course “Information School for Scientist” will increase significantly the level of information and digital literacy of researchers. It is possible due to synchronization of the course with the tasks facing modern researchers; organization of on-the-job training, the availability of the exhaustive complex of training materials on one and the same platform, and the expansion of students’ geography.
Improving Gated Recurrent Unit Predictions with Univariate Time Series Imputation Techniques

The work presented in this paper has its main objective to improve the quality of the predictions made with the recurrent neural network known as Gated Recurrent Unit (GRU).For this, instead of making different adjustments to the architecture of the neural network in question, univariate time series imputation techniques such as Local Average of Nearest Neighbors (LANN) and Case Based Reasoning Imputation (CBRi) are used.It is experimented with different gap-sizes, from 1 to 11 consecutive NAs, resulting in the best gap-size of six consecutive NA values for LANN and for CBRi the gap-size of two NA values.The results show that both imputation techniques allow improving prediction quality of Gated Recurrent Unit, being LANN better than CBRi, thus the results of the best configurations of LANN and CBRi allowed to surpass the techniques with which they were compared.
Money, To be Publicly issued, or Not to be, That is the Question

It is very interesting to overview about the currently ongoing payment systems which is rapidly changing and innovated. The emergence of cryptocurrencies such as bitcoin is one of the variant forms of digital innovation of payment system. Responding to this innovation central banks around the world is now in serious position to issue central bank digital currency(CBDC) to substitute for existing currency and some banking accounts. In section 2 of this paper we have done literature review about CBDC. In section 3, we have roughly discussed how to implement CBDC in the payment system. We have also discussed about privately issued money, Libra called Facebook Coin, which is initiated by Facebook. Overall consensus about cryptocurrency is that it does not function as money since its value is so volatile: it is just regarded as an asset with underlying blockchain technology. On the contrary, Libra is now going to be issued on the basis of stable basket constituting stable money or assets such as U.S dollar, Yuan, Yen and Euro: the value of Libra is stable so that it could play the role of money in the payment system. If Libra successfully become settled in the payment system, then Libra and current legal money coexists in the usual transactions. Then central bank issued legal money loses the monopoly power. It also deters dollarization of U.S money in the international payment system. This situation is not favorable to the U.S. , so U.S. is now noticing current evolution of Libra. The question is how the centralized payment system evolves in responding to the decentralized payment system caused by prevailing private money like Libra: Money, To be Legally issued or to be Privately issued, That is the Question.