Reviewerly/exHarmony huggingface dataset:
Tribrid Secure Encryption Technique to Protect the data in the Cloud

In recent years, the use of cloud computing has grown exponentially. All organizations move to the cloud to take advantage of data availability, cost savings, and energy savings. The cloud is a pay-per-use model. so, people will prefer to store their information in the cloud. They will store sensitive data such as photos, videos, bank details, and personal health information. The two main factors that worry the user aredataprivacy and security in the cloud. This sensitive data must be adequately secured so that an unauthorized user cannot access and manipulate the data. Tribrid Secure Encryption (TSE) algorithm is proposed to address this issue. It is a hybrid encryption algorithm with a combination of symmetric and asymmetric encryption with an encryption key. The performance of the proposed algorithm was tested on different types of data such as text, image, audio, or video. It offers a high level of security compared to traditional encryption methods and ensures data integrity with secure data transfer. The results show that the proposed algorithm can transmit data securely.
Connecting the dots: from plasma physics to plant biology

I Training School: “Plasma applications for smart and sustainable agriculture”– PlAgri; 2021 Mar 17-19; Jahorina, Bosnia and Herzegovina. Sarajevo: University of East Sarajevo; 2021. p. 19.
RANCANG BANGUN SISTEM INFORMASI PELAYANAN DAN PENGELOLAAN TIKET MASUK WISATA

The development of technology now is grow so fast and is a very tool that is needed by companies or organizations to get faster information. This is information expected to help with processing and speed up the work in progress. Mercury Sayang Kaak Hill is a tourist place in the Tejamulya Village, Argapura district. This Hill is a tourist place has visitors who want to play, enjoy the atmosphere of the highlands with photo spots and coolness that is typical of this tour and want to enjoy the green natural atmosphere with the presence of trees, mountains and plantations. Researchers saw the problems that in the entrance ticket service, which at this time ticketing services was recorded manually. namely the doorman or the person who guards in terms of serving visitors to buy and make payments. The income management or stage reports on the stages of the mercury hill, unfortunately the have so far still used the system in the book and have not used a system specifically for management data. A computerized recording system is needed that can support activities and Presentation of information can be faster, precise and accurate.
Reflection on the Mixed Teaching Mode of University Mathematics in the Information Age

With the arrival of information age, it is very necessarily for college education to combine closely with the traditional teaching mode and the Internet. Online hybrid mode still needs teachers to guide the form of a teaching model based on face-to-face teaching and network teaching, and motivates students listening carefully in class, after class make full use of network teaching platform for self-discipline and autonomous learning. On the other hand, big data era encourage teachers in colleges and universities must improve their own professional knowledge and practical problems of the combination of using some software such as Matlab, Lingo and Python, insert the classroom teaching, break the originally single theory teaching, and ignore the actual problem to make use of software to motivate students abilities in modeling and numerical simulation.
Development of E-Comic Media for Mathematics Learning on Measurement Materials for Class IV Elementary School Students

Mathematics is learning that teaches about various life problems, one ofwhich is arithmetic, algebra and others.In elementary school, to be precise in class IV, the learning process isdominated by the delivery of material from educators to students, there is no learningmedia, but theme books and textbooks as learning media. The activity was started byusing the lecture method and several question and answer activities. And informationwas obtained from the homeroom teacher, that the use of media in learning activitiesis carried out only occasionally. After delivering the material, the educator gives thetasks contained in the book, be it a theme book or a textbook. Based on theexperience of educators in previous learning years, measurement material is lessattractive to students. As a guide in learning. The researcher conducted developmentresearch with the title Development of E-Comic Media for Mathematics Learning onMeasurement Mteriors for Class IV Elementary School Students”.This type of research is a research development (Research andDevelopment) with the research model used is the type of PPE, namely Planning,Production, and Evaluation. This research was conducted at the beginning of the evensemester of the 2020/2021 school year. The research instrument includes a validationsheet and a practicality sheet (questionnaire responses from educators and students).In the validation process, the media was validated by 2 lecturers (material experts andmedia experts). In the practicality process, the media was tried out by 1 educator and18 students. Based on the results of the research, the development of E-Comic Mediafor Mathematics Learning on Measurement Materials for Class IV SD Negeri 15Pancung Problem Pesisir Selatan students met very valid criteria with an assessmentpercentage of 90% and met very practical criteria with a percentage of 95%. So, it canbe concluded that the e-comic media for learning mathematics on measurementmaterial is very valid and very practical to be used as a medium for learningmathematics in grade IV SD.
QRev: migrating quantum code towards hybrid information systems

Abstract Quantum computing is now a reality, and its incomparable computational power has led companies to show a great interest in being able to work with quantum software in order to support part of their current and future business operations. However, the quantum computing paradigm differs significantly from its classical counterparts, which has brought about the need to revolutionise how the future software is designed, built, and operated in order to work with quantum computers. Since companies cannot discard all their current (and probably mission-critical) information systems, they must adapt their classical information systems to new specific quantum applications, thus evolving towards hybrid information systems. Unfortunately, there are no specific methods with which to deal with this challenge. We believe that reengineering, and more specifically, software modernisation using model-driven engineering principles, could be useful as regard migrating classical systems and existing quantum programs towards hybrid information systems. This paper, therefore, presents QRev, a reverse engineering tool that analyses quantum programs developed in Q# in order to identify its components and interrelationships, and then generates abstract models that can be used in software modernisation processes. The platform-independent models are generated according to the Knowledge Discovery Metamodel (KDM) standard. QRev is validated in a case study involving five quantum programs in order to demonstrate its effectiveness and scalability. The main implication of the study is that QRev can be used in order to attain KDM models, which can subsequently be employed to restructure or add new quantum functionality at a higher abstraction level, i.e. independently of the specific quantum technology.
Towards scalable online machine learning collaborations with OpenML

Is massively collaborative machine learning possible? Can we share and organize our collective knowledge of machine learning to solve ever more challenging problems? In a way, yes: as a community, we are already very successful at developing high-quality open-source machine learning libraries, thanks to frictionless collaboration platforms for software development. However, code is only one aspect. The answer is much less clear when we also consider the data that goes into these algorithms and the exact models that are produced. A tremendous amount of work and experience goes into the collection, cleaning, and preprocessing of data and the design, evaluation, and finetuning of models, yet very little of this is shared and organized in a way so that others can easily build on it. Suppose one had a global platform for sharing machine learning datasets, models, and reproducible experiments in a frictionless way so that anybody could chip in at any time to share a good model, add or improve data, or suggest an idea. OpenML is an open-source initiative to create such a platform. It allows anyone to share datasets, machine learning pipelines, and full experiments, organizes all of it online with rich metadata, and enables anyone to reuse and build on them in novel and unexpected ways. All data is open and accessible through APIs, and it is readily integrated into popular machine learning tools to allow easy sharing of models and experiments. This openness also allows a budding ecosystem of automated processes to scale up machine learning further, such as discovering similar datasets, creating systematic benchmarks, or learning from all collected results how to build the best machine learning models and even automatically doing so for any new dataset. We welcome all of you to become a part of it.
Finding the Shortest Path using Dijkstra’s Algorithm

Graph theory is one of the most important branches of discrete mathematics which is a study of graphs which are mathematical structures that are used to model pair wise relations between objects.Many discrete problems can be analysed using graph theoretic models.Graph theory plays prominent role in computer science and logistics management.The main application of graph theory is to find the shortest path problems, optimal assignment problems, time tabling problems, travelling salesman problems.Roads plays an important role as every day people from various cities, states and villages has to travel to work, schools, business and to transport the goods.In the roadway networks finding the shortest paths between various locations is the major problem.Because of this problem many shortest path algorithms are developed.In roadway network applications finding shortest path is important in city emergency handling as finding the shortest path is important to save the life and drive guiding systems to reduce the travel time, simultaneously to reduce the cost of implementation.The shortest path problem is to find the path between to vertices on a given graph, such that the sum of the weigths on its constituent edges is minimized.In this paper for a Dijkstra's algorithm gives a solution for a single source shortest path problems.In this algorithm the shortest path is calculated for a whole network starting from a source vertex (or) initial vertex by finding the upper bound of the distance between two vertices can be calculated in advance on the given transportation network.
Initial Coin Offerings, Corporate Finance and Financial Regulation

Initial Coin Offerings (ICOs) have grown substantially in recent years. They involve issuing coins that are recorded on a blockchain. These can be used to purchase the service or good that the firm they finance produces. The coins can be exchanged for currency on cryptocurrency exchanges. Although many ICOs are fraudulent, most studies find positive average and median returns. Theoretical analyses suggest they can have several advantages compared to Initial Public Offerings (IPOs). They are regulated in widely differing ways with the UK, Switzerland and Singapore having regimes that make them easier to undertake than other countries.
Role of quadrature squeezing in continuous-variable quantum teleportation

Quantum teleportation (QT) lies at the heart of modern day quantum information science and technology. Despite extensive studies over past two decades, obtaining the necessary and/or sufficient criterion for QT with continuous-variable (CV) resources, besides entanglement, still remains an open concern. In this backdrop, here we analyze the role of a purely quantum optical (QO) attribute, known as quadrature squeezing, in CV teleportation. We first provide an analytic proof that for Gaussian resources quadrature squeezing is necessary for QT. However, for non-Gaussian resources we show a clear distinction between the pure and the mix states. For the pure states, quadrature squeezing appears to be necessary for QT, in the sense that there is no QT without quadrature squeezing. However, in the case of mix states we observe otherwise, i.e., QT could be achieved even without quadrature squeezing. Our results present the exotic character of the QO attributes of the CV resources and necessitate a deeper search for the necessary and/or sufficient criterion for CV QT.
Evaluation of Land Suitability for Pepper Plants (Piper Nigrum Linn) in Kindang District, Bulukumba Regency

This study aims to determine the characteristics of the land and determine land suitability for pepper (Piper Nigrum Linn) in Kindang District, Kab. Bulukumba. The type of this research is descriptive quantitative research by using survey method of soil observation. In this study, using purposive sampling data collection techniques on eleven land units by taking samples of undisturbed soil. The results of this study indicate the characteristics of the land in the research location, namely wet climate; medium temperature ; availability of water and high rainfall; good drainage; the dominant texture class is smooth and slightly fine; medium coarse fraction; good effective depth; high clay CEC value; medium base saturation; non sodic alkalinity; erosion hazard levels that range from very low to very severe; no flood hazard; and medium land preparation. The actual land suitability class) consists of: class S2 (fairly suitable) covering an area of 36.5 km2, class S3 (marginally appropriate) covering an area of 52.6 km2 class N (not suitable) covering an area of 54,3 km2.
Peramalan Hasil Produksi Padi Di Provinsi Jawa Timur Dengan Menggunakan Metode Seasonal Autoregressive Integrated Moving Average With Exogenous Input (Sarimax)

Indonesia is an agricultural country, meaning that agriculture plasy an important role in the national economy. This can be proven by data from the Badan Pusat Statistik in 2017 which states that agriculture is one of the sectors that most contributes to the national economy with a contribution of 13,14 percent. Java has contributed around 54% of the national rice production. Based on BPS data in 2018, one of the largest rice producers in Indonesia is Jawa Timur. With the land area that continues to decrease due to several factors, it is certain that rice production will decrease from year to year. One of the first steps in dealing with rice production in Jawa Timur is forecasting the coming year. The method used in this research is the Seansonal Autoregressive Integrated Moving Average With Exogenous Input (SARIMAX). In this method, the factors affecting the dependent variabel Z at time t are influenced not only by the function of variable Z in time but also by other independent variables at time t. The results showed that the best model for predicting rice production with the input variable rice harvest area was SARIMAX (1,0,0)(0,0,1)3 with the transfer function parameter b=0, s=0, r=0, while the model the best method for predicting rice production with rainfall input variables is the SARIMAX (1,1,0)3 model with the transfer finction parameter b=1, s=0, r=0 because all assumptions in the model can be fulfilled and are feasible for forecasting use. From the forecasting results wiht the best model, it is known that the highest riceproduction is always in the first subraund and the lowest is in the third subraund.
MEDIA KOMUNIKASI SANTRI DAN ALUMNI PONDOK PESANTREN ROBITHOTUL ASHFIYA' BERBASIS WEBSITE

Founded in 1990, Robithotul Ashfiya Islamic Boarding School has had students spread across the archipelago. However, the communication media between alumni and students are still limited to social media such as FB and What’sapp group. This makes information often not well-conveyed and well-documented. Since the place is located quite far from the city center, this Islamic boarding school is not well-known by the public, so it requires qualified promotional media. With the establishment of cooperation between the Islamic boarding schools and Universitas Qomaruddin, a solution is found to the existing problems, namely the realization of a boarding school website. The system development methodology used is SDLC (System Development Life Cycle). Feasibility studies and investigations are carried out directly to the site. Requirement analysis includes functional and non-functional requirements of the system. System design uses UML (Unified Modeling Language) and level diagrams. Application is in the form of system development using the CMS (Content Management System) wordpress and system implementation. Regular review and maintenance are with a direct mentoring system in the form of system management training and monitoring system use. The result of the community service is a finished product of a boarding school website and website management training for the boarding school system administrators. With the existence of the website, now the Robithotul Ashfiya Islamic boarding school can make promotions to the community more easily and provide better information to its students and alumni.
ISTRAŽIVANjE O UPOTREBI MANIPULATIVA U NASTAVI MATEMATIKE U SRBIJI I PREPORUKE ZA USPOSTAVLjANjE I OSIGURANjE KVALITETA U EVROPSKOM OBRAZOVNOM PROSTORU

This paper deals with the connection between the specific research on the use of manipulative materials in teaching mathematics and documents adopted by European institutions and bodies in the form of recommendations and guidelines for establishing and ensuring the quality of teaching and learning process. The validity and topicality of the research are presented and the reasons for choosing certain areas of research are explained. At the same time, the paper focuses on the possibility of collecting and producing new relevant evidence for making informed and responsible decisions in the field of education policies, using specific research as a generic basis.
Analysis of User Behavior through Network Big Data and Intelligent Information System

At present, with the widespread application of Internet technology in e-commerce platforms, people's traditional consumption methods have been changed. As more and more users choose to consume online, this has effectively promoted the prosperity of the e-commerce economy. Based on the above-mentioned situation, the mutual competition among enterprises has also begun to shift from offline to online, and obvious changes in the way of competition have taken place. At present, many companies attach importance to in-depth analysis of users' consumption behavior based on network big data technology. The article mainly analyzes the characteristics of users' consumption behavior in the context of big data, the application of big data in consumer behavior research, and the network under big data. The influencing factors of user consumption behaviors are expected to play a role in promoting the development of large-scale and standardized online shopping market.
EFEKTIVITAS PEMBELAJARAN DARING MENGGUNAKAN GOOGLE CLASSROOM DAN ZOOM MEETING TERHADAP HASIL BELAJAR FISIKA SISWA KELAS XII MIPA SMA NEGERI 6 MERANGIN

This study aims to describe the effectiveness of online learning using google classroom and zoom meeting on the physics learning outcomes of class XII MIPA students at SMA Negeri 6 Merangin. This research is an experimental study with a randomized subject posttest only control group design. Sampling using simple random sampling technique, selected as experimental class 1 is class XII MIPA 1 and experimental class 2 is class XII MIPA 2. The data collection technique uses tests with instruments in the form of items to measure physics learning outcomes. The normality test used the Kolmogorv-Smirnov formula, the homogeneity test used the Levenne test, and the hypothesis test used the independent sample t-test formula. From the data analysis, it is known that the value of tcount = 7.183 and ttable = 1.668, it turns out that tcount > ttable, this means that H0 is rejected and H1 is accepted. Based on this, it can be concluded that the results of learning physics using online learning using google classroom and zoom meetings are better than using only google classroom for students of class XII MIPA SMA Negeri 6 Merangin.
Time to Modify Operating Software (Os), Databases (Db) and Tcp/Ip Protocols for Data Trash Elimination, Based on User Defined Shelf Life of Data

Exponentially growing data, big data, dark data and data trash are throwing excellent opportunities in the world. But associated costs and risks are also significant. “Big Garbage in, Big Garbage out” seems new phrase in computing. This paper is motivated by risk and cost stresses on non-IT firms. Literature review, from management perspective, reveals lack of world’s attention towards immortality of data in the data stores of the world and rising risks & costs. Progressive digitization calls for regular elimination of data trash and consequent avoidable costs. Existing concept of Time to Live (TTL) or hop limit is eliminating huge data in transit on the internet system in real time. Similar concepts and tools could be potential help in reduction of size of data inventory. Paper presents a rudimentary model for expansion of concept of TTL with the assistance of user defined shelf life of data.
User Experience: diretrizes para avaliação da Usabilidade em sites de jogos educativos voltados para o público infantil

Today, children are born into a culture where information and communication technologies are socially integral. The use of games with educational content in the development of early childhood education is recommended, especially in digital media; however, these sites often do not have an adequate interface to the characteristics and needs of children. This article discusses the interaction between children and digital educational game interfaces, and aims to present guidelines for evaluating the Usability and UX of educational game sites, focusing on the child user, conceptualizing Usability, Information Architecture, and User Experience. It addresses the child as a digital native and their cognitive development, and explores the role of the librarian in creating digital interfaces, games in the child's cognitive development, and how the usability of digital educational game sites can affect a child's experience with their content . It is an exploratory and qualitative research using the literature review technique.
Theory of neuromorphic computing by waves

We study theoretically neural networks embedding a nonlinear wave as a computing reservoir. We demonstrate interpolation of large datasets and Boolean logic. We discuss the existence of a critical nonlinearity for learning.
Keeping Track of Your Recipe: Moving from Cookbooks to the Web

Gone are the days of your grandmother’s written recipe on a dusty index card. The recipes of today are safe from spills by going electronic. By cooks going digital, they can now record and document their recipes in a safe environment while making them searchable and findable.Electronic laboratory notebooks (ELNs) help researchers to manage their research, record their processes, and manage research data in ways that increase reproducibility, efficiency, and collaboration. Whether an ELN or a paper notebook, the information that is provided needs to be a detailed and accurate representation of the research record. This recipe provides an outline for a workshop on the use of lab notebooks, the pros and cons of using ELNs versus written lab notebooks, as well as steps and examples to prepare activities.