Reviewerly/exHarmony huggingface dataset:
Climatizing the Detection of Secret Data and Sterling Data Transmission in Steganography

In the last decades, information security has become a crucial issue, as the data innovation field is growing rapidly. In military applications, there is a possibility of breaking the security message. Hence there is a need for secrete message communication technology to prevent message breaching. Steganography is the process of embedding any secret message or information like image, text, audio, and video with the original cover file. Today, most secret information hiding systems use multimedia objects. This paper proposes two-stage multimedia steganography. In the first stage, the secrete message is embedded in the extracted audio from a multimedia video file. In the second stage, stego audio is again embedded with the video frames. The audio steganography uses the Least Significant Bit (LSB) substitution algorithm to embed the secrete audio, called stego audio. This is then embedded with the video frames. The processed video is transmitted to the receiver side. In the receiver section, the audio is extracted from the video stream. The 4-bit LSB decryption algorithm separates a secrete message from stego audio. The evaluating performance parameters of the proposed algorithm are PSNR, SSIM, and MSE metrics. This proposed algorithm is achieved promising results.
Gestión tecnológica en la educación superior a distancia

The article reveals the experiences in technology management that have been implemented in higher education at public or private distance in different parts of the world. The objective of this work was to know experiences of implementation of technological management in distance higher education from areview of the scientific literature in the last ten years. This theoretical review with sources from scientific journals and academic Google was carried out under the systematic review methodology based on the Prisma strategy. The results show that there are significant experiences in the implementation of technological management that must increasingly be included in distance higher education.
Creating a rich reading environment

The days of starting a child's reading development, age five, with an ‘early reader’ are long gone. Children will always pick up a book when it feels interesting to do so, just like adults. With so many great books and resources available, it has never been easier to find the inspiration.
HTML-MATIC: MACHINE LEARNING BASED GENERATION OF HTML CODE

Making mock-ups for individual web pages, either by hand or using graphic design and special mock-up tools, is the first step in the website design cycle. The software developer then converts the mockup into structured HTML or equivalent markup code. Typically, this procedure is continued until the required template is created. The aim of this research is to automate the process of creating code from a mock-up created manually. The suggested system is implemented using deep learning methods after the html mock-up is analysed using computer vision techniques. Our system has a method accuracy of 96 percent and a validation accuracy of 73 percent.
The Role Of Team Creativity In Achieving Entrepreneurial Capital

The research aims to shed light on the creativity of the team and its role in achieving the entrepreneurial capital in the departments, offices, divisions, and units of the headquarters of the Iraqi Ministry of Commerce , funded centrally in the province of Baghdad, and based on the importance of the topic of research in public organizations and the importance of the ministry to society. The analytical descriptive approach was used in the completion of this research, and the checklist that included (25) items was adopted through the five-point Likert scale, and personal interviews and field observations were used as aiding tools in its collection, and through the importance of the topic to the Ministry of Commerce, from During the research problem, which indicates that the ministry suffers from a lack of awareness and awareness of the senior leaders to keep the team’s creativity away as well as to distance the entrepreneurial capital.... Therefore, the importance of the research for the ministry stems from knowing the size of the gap between the current and planned reality within the objective limits of the research, for the purpose of providing a set of recommendations that Contribute to knowing the points of weakness and weakness in the dimensions and research variables... Among the most prominent findings of the research, which showed the validity of the assumption (The dimensions of team creativity contribute to achieving entrepreneurial capital) despite the presence of discrepancies in the results. And there is a high gap for some dimensions, and despite the presence of discrepancy in the results of the checklist and the presence of a high gap for some dimensions, the team’s creativity, including coordination and cooperation, as the size of the gap reached (34%), which is the highest percentage of the independent variable, while the entrepreneurial capital variable was the highest percentage for the dimension of entrepreneurial capabilities (50%), followed by leadership commitment (38%), which is a high gap. There is also a weakness in investing the reciprocal and interactive relationship between team creativity and entrepreneurial capital.
Use of mobile devices by students majoring in "Information, Library and Archival Affairs" in Ukraine

The results of an anonymous online survey on the use of mobile technologies by students majoring in 029 Information, Library and Archival Affairs of higher educational institutions of Ukraine are presented. The survey was conducted from January 14 to February 14, 2021. The questionnaire contained questions, some of which involved choosing one answer from many (from completely negative to completely positive), some allowed survey participants to choose several positions. The aim of the research was to identify key trends in the use of mobile technologies by university students (ages 18+) and to determine the baseline for the promising areas for the development of a comprehensive library mobile information service.The degree of penetration of mobile technologies into the daily practice of student youth was revealed.Priority for users is the ability to get quick responses to information retrieval (including through the use of chatbots), fast messaging, access to short media content.Also noteworthy are the preferences of the audience to read paper books, lack of interest in gaming content, and moderate attitude to products based on artificial intelligence - virtual assistants.It is more than half of the respondents use mobile devices for watching movies and for distance learning and work. About 80% of those who have heard of augmented reality books and 5% of those who have read such books among Ukrainian students. The survey indicated that the Ukrainian student audience has a percentage of users who are ready to completely switch to the use of mobile devices and abandon the PC, some of them have already made such a transition. Such leading trends in the use of mobile technologies by young people make it possible to predict the set of library services that may be in demand by users in the future.Such services include information and reference service via messengers; development of library mobile applications of audio and video content, educational, scientific, popular science literature and fiction; supplementing the online service with library chatbots.Also, given the uncertainty of the pandemic situation, it will be useful to organize library informing and mobile educational content navigation for distance education.
ON TOPOLOGICAL ENTROPY WITH THE LEVELS (a; b) OF ab-RELATIVES DYNAMICAL SYSTEMS

ABSTRAct. In this paper, a relative intuitionistic dynamical system with the levels (α, β), as a mathematical model compatible with a natural phenome- non, is proposed. In addition, the notion of RI topological entropy with the levels (α, β) for RI dynamical systems with the levels (α, β) is defined and its properties are studied. As a significant result, it was shown that, this topolog- ical entropy is an invariant object up to conjugate relation.
Negation Scope Detection for Sentiment Analysis: A Reinforcement Learning Framework for Replicating Human Interpretations

Textual materials represent a rich source of information for improving the decision-making of people, businesses and organizations. However, for natural language processing (NLP), it is difficult to correctly infer the meaning of narrative content in the presence of negations. The reason is that negations can be formulated both explicitly (e.g., by negation words such as not) or implicitly (e.g., by expressions that invert meanings such as forbid) and that their use is further domain-specific. Hence, NLP requires a dynamic learning framework for detecting negations and, to this end, we develop a reinforcement learning framework for this task. Formally, our approach takes document-level labels (e.g., sentiment scores) as input and then learns a negation policy based on the document-level labels. In this sense, our approach replicates human perceptions as provided by the document-level labels and achieves a superior prediction performance. Furthermore, it benefits from weak supervision; meaning that the need for granular and thus expensive word-level annotations, as in prior literature, is replaced by document-level annotations. In addition, we propose an approach to interpretability: by evaluating the state-action table, we yield a novel form of statistical inference that allows us to test which linguistic cues act as negations.
Quantum detector tomography of high-dimensional multiplexed superconducting detectors

We demonstrate quantum detector tomography of three different multiplexed SNSPDs, including a nonlinear detector of dimension &gt; 10 3 . We use this to extract efficiency, dark-count and cross-talk probability from just four elements of the reconstructed POVMs.
Design of Extreme Learning Machine based LFC for Three Area Interconnected Power System

This paper presents a novel extreme learning machine neural network for the Load Frequency Control of the interconnected system.There will be variance in the frequency from the reference value when there is a difference between active power generation and load demand.Significant disturbances contributing to frequency fluctuations beyond the acceptable limits are changes in load demand and faults etc. Initially PID based LFC which is a traditional controller is used to bring back the frequency differences when a disturbance occurs.But these conventional controllers will only operate certain operating points, are very slow and, for nonlinear systems, less efficient.Artificial intelligent controllers such as neural network controllers trained by ELM and BPNN algorithms are designed to avoid vulnerabilities in the conventional controller.The test system can be considered as a three, two and single area systems.All test systems' response is observed with and without PI, BPNN, and ELM neural network controllers.The ELM neural network controller is outperforming in damping the frequency variance due to the disturbances.
Salience-Induced Term-Driven Serendipitous Web Exploration

The Web is a vast place and search engines are our sensory organs to perceive it. To be efficient, Web exploration ideally should have a high serendipity potential. We present a formalization of Web search as a linguistic transformation, evaluate its stability, and apply it to produce serendipity lattices, containing suggestions of term chains to be used as exploration paths. We show experimentally that these lattices conform to two of the three serendipity criteria: relatedness and unexpectedness.
Design and Implementation of High Order QAM Receiver

research-article Design and Implementation of High Order QAM Receiver Share on Authors: Chang Yinghui The 54th Research Institute of CETC, China The 54th Research Institute of CETC, ChinaView Profile , Liu Changlong The 54th Research Institute of CETC, China The 54th Research Institute of CETC, ChinaView Profile Authors Info & Claims ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information SystemsMay 2021 Article No.: 95Pages 1–7https://doi.org/10.1145/3469213.3470298Online:18 August 2021Publication History 0citation9DownloadsMetricsTotal Citations0Total Downloads9Last 12 Months9Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Rationality in Education: to the question of the content component of an Academic discipline

Today, many countries are experiencing a crisis in education, which they are trying to cope with in various ways. One of the dominant elements of possible reforming is a change in the content of the academic discipline. Attempts to revise or transform it directly or indirectly concern the topic of pedagogical reason and rationality in education. The authors suggest taking into account the levels of rationality in education when constructing the content component. The options in the nature of changes in the content component have always indicated not only new educational strategies, but also a paradigm shift in education
A survey of different methods for automated diagnosis of cervical cancer in pap-smear image

A cancer type’s early diagnosis as well as classification can facilitate the patient’s subsequent clinical management. Cervical cancer (CC) grades as the 4 th most existent cancer universally affecting women and also its timely discovery offers the chance to protect lives. The CC’s automated diagnosis and also its classification as of the Pap-Smear (PS) images has developed as a requirement since it facilitates reliable, accurate and also well-timed examination of the condition’s growth. Diverse algorithms and methodologies are utilized aimed at CC’s automated screening via segmenting and categorizing the CC cells into diverse categories. This work explicates the survey on the CC’s diagnosis in the PS image. This study highlights the latest studies regarding cervical cancer diagnosis, like PS image enhancement (IE), the PS image’s automated segmentation, cervical cells’ features in PS image examination, and automated PS analysis. Lastly, the diverse diagnosis technique’s performances are analogized centred on the accuracy metric. For both the single-cell and multi-cell images, the comparison examination is executed.
RANCANG BANGUN SISTEM INFORMASI LOWONGAN KERJA BERBASIS WEB MENGGUNAKAN FRAMEWORK CODEIGNITER

Information exchange becomes one of the most important needs in life today. Included is the need for information on job vacancies. Therefore, jobseekers need a jobsearch application based on specified criteria, as well as employers get the appropriate worker candidate with the required qualifications. The method used in making this webbased information system is waterfall method. In its implementation using HTML, CSS, and PHP Codeigniter framework as data processing framework with MySQL database. The result of this programming is a website job vacancy information that facilitate jobseeker in search (based on the criteria of interest) and apply online application. Employers may publish vacancies as well as obtain candidates that meet the required qualifications. Employer can create an interview agenda with the applicant (jobseeker). The use of PHP codeigniter framework that apply the concept of OOP and MVC makes the structure of the code becomes more structured to facilitate the maintenance and development
Developing Voice-Based Information Sharing Services To Bridge the Information Divide in Marginalized Communities: A Study of Farmers Using IBM’s Spoken Web in Rural India

Farming communities in developing countries like India are victims of the information divide. Voice-based information sharing services (VISS) can bridge this divide and help farmers address a range of challenges by exchanging knowledge with their peers. An analysis of in-depth phone interviews with farmers in remote, rural Gujarat, India, reveals four stages for developing a VISS for marginalized communities in developing countries. The four stages are: identify gatekeepers to seed the VISS, expand the VISS by building on existing communities of practice, share information, and incentivize members to sustain the VISS. The VISS in this study is based on IBM’s Spoken Web platform, which enables even illiterate and semi-literate farmers to seek, share, use, and benefit from information using feature mobile phones.
A comparison Study, for Steganography, between Dark skin and White Skin tone based on Wavelet Transformation.

Hiding information (Steganography), is the methodology and art of hiding any important information using any communication made like (Image, Sound clip, and Video). Here, it is not required to encode the secret data to send it but instead we hide it by the use of skin color as a sole image, and, because it is matchless features for an individual, that is what is called “Biometric Features“. The cover image is a skin color image to embed the payload, the secret image is an X-ray image, and the use of DWT ( Discrete Wavelet Trans.) decomposed confines of the cover image to routine it for the hiding the (stegoimage).
A Framework for Automatic Exam Generation based on k-means and Genetic Algorithm

Manual generate of test papers is a difficult assignment for instructors, particularly inside a brief timeframe outline.It requires a large amount of work and time to accomplish a standard nature of the test papers.question paper necessarily to consider several items such as difficulty level marks, numerical as well as theoretical contents of the paper, weightage of questions, and repetition of exam questions in terms of their characteristics is one of the most important problems in generating the test.The scientific contribution of this research is a proposed framework based on combine between genetic algorithms and unsupervised learning methods (k-means) to generate a test paper according to Bloom's criteria, where the k-means method collects each group of questions with the same features in one group.where address the problem of the repetition of questions that have the same characteristics.In the exam paper, based on the previous step, it will be easy for the genetic algorithm to choose the best exam according to the six levels bloom's.The framework consists of several phases .in the first phase, generate the questions bank in the second phase, the questions were divided into six groups that were similar in their properties using the k means method, in the third phase, used a random sorting function to randomly arrange each group to ensure that the questions were not repeated when the initial population was created.Used A question bank of 800 questions including all types of questions.
Examination of Mixed-Effects Models with NonparametricallyGenerated Data

Previous research has shown functional mixed-effectsmodels and traditional mixed-effects models perform similarly whenrecovering mean and individual trajectories (Fine, Suk, &Grimm, 2019). However, Fine et al. (2019) showed traditionalmixed-effects models were able to more accurately recover theunderlying mean curves compared to functional mixed-effects models.That project generated data following a parametric structure. Thispaper extended previous work and aimed to compare nonlinearmixed-effects models and functional mixed-effects models on theirability to recover underlying trajectories which were generatedfrom an inherently nonparametric process. This paper introducesreaders to nonlinear mixed-effects models and functionalmixed-effects models. A simulation study is then presented wherethe mean and random effects structure of the simulated data weregenerated using B-splines. The accuracy of recovered curves wasexamined under various conditions including sample size, number oftime points per curve, and measurement design. Results showed thefunctional mixed-effects models recovered the underlying mean curvemore accurately than the nonlinear mixed-effects models. Ingeneral, the functional mixed-effects models recovered theunderlying individual curves more accurately than the nonlinearmixed-effects models. Progesterone cycle data from Brumback andRice (1998) were then analyzed to demonstrate the utility of bothmodels. Both models were shown to perform similarly when analyzingthe progesterone data.
Penerapan Data Mining Penjualan Alat Tulis Kantor Menggunakan Algoritma Apriori Di Tiga Balata

Data mining is a process of searching for patterns or interesting information in selected data using certain techniques or methods. Data mining is a process of searching for patterns or interesting information in selected data using certain techniques or methods. This research discusses the Association Rule method as a data mining function which is implemented using the Apriori Algorithm. The priori algorithm is the most well-known algorithm for finding high frequency patterns. For this reason, this algorithm can combine items or items sold in stationery stores. The combination values obtained were two item combinations, namely Notebooks, Pens and Double Folio Paper, and Pens with a Support value of 13.64% each. By doing this research, the shop owner will be able to provide items that are often purchased by consumers and can be a consideration for the layout of the items in the stationery shop.
Facebook’s Libra could boost bitcoin, other cryptocurrencies: Anchorage co-founder Diogo Monica

Anchorage, one of the founding members of Facebook's Libra project, safeguards a company’s use of its digital assets through blockchain technology.
Pantauan Realisasi Anggaran Sebagai Pedoman Penyerapan Target Anggaran Melalui Dashboard Dinas KOMINFO

Every Government is required to have a budget plan that is the basis for carrying out an activity and a Budget Realization Report (LRA) is needed which contains the results of activities that have been achieved in connection with the use of the budget. LRA can be used by report users to evaluate decisions in the allocation of economic resources and accountability to increase the benefits of managing money in government. The Department of Communication and Informatics of Tangerang City has problems in managing budget realization, namely the processing and monitoring process still uses Microsoft Excel, so it is difficult to control when there is an inspection report on the realization of the activity budget because the documents produced are still in the form of paper which allows damage or loss. The use of BSC (Balanced Scorecard) analysis which can measure the capability of a system, in view of the Business Process, this system can monitor the efficiency and effectiveness of budget realization management. PHP is used as a language and a temporary Mysql database for system design using the Unified Modeling Language (UML). This system produces a system that can monitor the realization of a web-based budget that can be useful for agencies in the process of processing and monitoring budget realization until the formation of a Budget Realization Report with an easier and faster process.