Reviewerly/exHarmony huggingface dataset:
ICTs for Agricultural Development and Food Security in Developing Nations

Development has many faces and complete wellbeing of human population is the most important one of them which in more than one ways involves agriculture and the farming population. Providing needed information at the right time to the rural population is the first step in their empowerment and ICTs can play an immensely important role in providing that information by increasing the dialogue between development professionals and rural people at every stage of development process. According to recent statistics released by ITU, over the last 15 years, ICTs have grown in unprecedented ways providing huge opportunities for social and economic development and this growth can be an advantage to rural advisory services. Providing correct and personalized information needs expert opinions and so multi-stakeholder engagement makes the process more efficient and ICTs provide a very unique and important platform for such collaboration, thus bringing together different stakeholders for efficient partnership. The various tools and technologies can also be tailored according to the needs of end users. But in spite of the advantages, ICTs can only be universally accepted and used when the challenges of accessibility, acceptability, funding, and sustainability are overcome. There are no formula for sure success with ICTs and situation is the best determinant of the strategy to be used and so, a balanced and strategic use of ICTs depending on the clients' needs can best utilize its potential for agricultural development and food security in developing nations.
Using Formulas

Power Apps is similar to Excel because it relies on formulas to carry out tasks. Formulas are the lifeblood of an app because they provide the capability to add logic, calculations, and functionality to an app.
IAG Membership Information

Geostandards and Geoanalytical ResearchVolume 44, Issue 3 p. 629-629 IAG Membership InformationFree Access IAG Membership Information First published: 12 August 2020 https://doi.org/10.1111/ggr.12275AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume44, Issue3September 2020Pages 629-629 RelatedInformation
Provisional Access of Workflow Scheduling With Mobile Agents in Agricultural Application

In mobile computing, if agent experiences are assessed and available among end communication for environmental modelling, it helps in improving exploration load for unknown or unvisited circumstances. Therefore, it may speed learning procedure. As, building an accurate and effectual model with constraint time is also an essential factor, specifically for difficult conditions, this work initiates reinforcement model base learning approach based on work flow scheduling to acquire lesser memory consumption and effectual modelling. Here, two methods have been compared for attaining a real time experience and to produce virtual experiences as elapse time in learning process is reduced. However, this two modelling is appropriate for knowledge sharing. This analysis is inspired with knowledge sharing concept in multi agent based systems where agents has the competency to generate global modelling from scattering these models provided by individual agents. Subsequently, it may increase accuracy modelling; therefore it may offer valid experience for learning at earlier learning stage. To reduce make span process, anticipated model uses cost, reward and action techniques to grafting workflow scheduling need and resourceful experience from experienced system indeed of merging entire model. Simulation outcomes depict that anticipated scheduling model can acquire sample learning and efficiency model based acceleration in Multi-agent application objectives. Here, MATLAB environment is used for simulation. Metrics like cost, Make span is evaluated for agricultural dataset. Comparison is done with anticipated Dense mobile Network and Deep Q Network. Here, DMN shows better trade off than DQN model and more appropriate for agricultural dataset.
Bio-medical Image Retrieval using Various Statistical Methods

In recent, the healthcare sectors rely more on imaging technologies for early detection and diagnosis of the disease. But, the abundant images obtained from these imaging technologies have complex disease patterns associated with them and thus an expert requires more time to analyze and arrive at the decision. Hence, the image retrieval techniques have a significant role to assist the experts by retrieving the most similar images existing in the database and also help them to compare a new scan of the patient with the top matched images and arrive at the quick decision during the diagnosis of a patient. So, we have performed our studies on the two-dimensional structural Magnetic Resonance Imaging of the Open Access Series of Imaging Studies dataset. The collected images are preprocessed and categorized into different groups based on the ventricular region of the brain. After the categorization, we employ second and higher-order statistical approaches to extract the textural features. Then the computed textural features of the images existing in the dataset are compared with the textural features of a query image to retrieve the top matched images using similarity distance as the metric. Then the image retrieval performances of the proposed hybrid based statistical methods are measured. The obtained results shows that the combined features of Gray Level Co-occurrence Matrix and Law’s Texture Energy Measure attains the highest precision across the categorized groups of a dataset and it achieves 80% precision for Group1, Group2 images and 60% precision for Group3 images.
Bessel Functions

Unique in its clarity, examples, and range, Physical Mathematics explains simply and succinctly the mathematics that graduate students and professional physicists need to succeed in their courses and research. The book illustrates the mathematics with numerous physical examples drawn from contemporary research. This second edition has new chapters on vector calculus, special relativity and artificial intelligence and many new sections and examples. In addition to basic subjects such as linear algebra, Fourier analysis, complex variables, differential equations, Bessel functions, and spherical harmonics, the book explains topics such as the singular value decomposition, Lie algebras and group theory, tensors and general relativity, the central limit theorem and Kolmogorov's theorems, Monte Carlo methods of experimental and theoretical physics, Feynman's path integrals, and the standard model of cosmology.
The implementation of vpu method to improve the speaking ability of students (a case study of teaching Efl at SMAN 2 Kupang)

This study is a classroom action research conducted in the class XII IPA 8 of SMA 2 Kupang in the academic year 2017/2018. This study aims to determine whether the application of the VPU method in learning can improve the ability to speak English in class XII IPA 8 students of SMAN 2 Kupang. The method of data collection in this study was observation, student video recording, and student speaking tests. The data analysis method is quantitative-qualitative descriptive. The results obtained from this study are that the VPU method can improve the speaking skills of students of class XII IPA 8 of SMAN 2 Kupang. This is evident from the results obtained in Cycle I that only 5 students were able to speak English well in class and complete the task of making English conversation videos. In Cycle II, 30 students succeeded in getting speaking score 82.43 and completing the video conversation with the resource person. The data analyzed in this study are a video done by students of class XII IPA 8 and uploaded to social media. The conclusion obtained by this study is that the VPU method can improve students' ability to speak English. &nbsp; &nbsp
Empirical Analysis of Robust Chaotic Maps for Image Encryption

The rate of transferring data in the form of text, image, video or audio over an open network has drastically increased. As these are carried out in highly sophisticated fields of medicine, military and banking, security becomes important. In- order to enhance security for transmission, encryption algorithms play a vital role. So as to enhance the proficiency of the existing encryption methods and for stronger anti attack abilities, chaotic based cryptography is essential. Chaotic based encryption has advantages of being sensitive to initial conditions and control parameters. Images have features like bulk data capacity and high inter pixel correlation. Transmission of such medical data should be highly confidential, integral and authorized. Hence chaos-based image encryption is an efficient way of fast and high-quality image encryption. It has features like good speed, complexity, highly secure, reasonable computational overhead and power. In this paper a comprehensive analysis and an evaluation regarding the capabilities of different discrete time domain chaotic maps were carried out on a proposed image encryption method. The experimental results show high efficiency for the proposed image encryption technique.
Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study (Preprint)

<sec> <title>BACKGROUND</title> In the era of big data, the intensive care unit (ICU) is likely to benefit from real-time computer analysis and modeling based on close patient monitoring and electronic health record data. The Medical Information Mart for Intensive Care (MIMIC) is the first open access database in the ICU domain. Many studies have shown that common data models (CDMs) improve database searching by allowing code, tools, and experience to be shared. The Observational Medical Outcomes Partnership (OMOP) CDM is spreading all over the world. </sec> <sec> <title>OBJECTIVE</title> The objective was to transform MIMIC into an OMOP database and to evaluate the benefits of this transformation for analysts. </sec> <sec> <title>METHODS</title> We transformed MIMIC (version 1.4.21) into OMOP format (version 5.3.3.1) through semantic and structural mapping. The structural mapping aimed at moving the MIMIC data into the right place in OMOP, with some data transformations. The mapping was divided into 3 phases: conception, implementation, and evaluation. The conceptual mapping aimed at aligning the MIMIC local terminologies to OMOP's standard ones. It consisted of 3 phases: integration, alignment, and evaluation. A documented, tested, versioned, exemplified, and open repository was set up to support the transformation and improvement of the MIMIC community's source code. The resulting data set was evaluated over a 48-hour datathon. </sec> <sec> <title>RESULTS</title> With an investment of 2 people for 500 hours, 64% of the data items of the 26 MIMIC tables were standardized into the OMOP CDM and 78% of the source concepts mapped to reference terminologies. The model proved its ability to support community contributions and was well received during the datathon, with 160 participants and 15,000 requests executed with a maximum duration of 1 minute. </sec> <sec> <title>CONCLUSIONS</title> The resulting MIMIC-OMOP data set is the first MIMIC-OMOP data set available free of charge with real disidentified data ready for replicable intensive care research. This approach can be generalized to any medical field. </sec>
Research of Eucalyptus, Openstack and Open Nebula

The quantity of cloud the executives programming identified with a private foundation as-an administration cloud is expanding step by step. The highlights of the cloud the board programming shift altogether and this makes a trouble for the cloud customers to pick the product dependent on their business prerequisites. With the growing amounts of cloud service providers and the transfer of grids to the noisy worldview, the choice to use these new assets is essential. In addition, an enormous High Performance Computing (HPC) category of apps can operate these advantages without (or with minor) modifications .In this work we present the structure of a HPC middleware that can utilize assets originating from a situation that make out of numerous Clouds just as old style HPC assets. Utilizing the Diet middleware, we can convey an enormous scale, disseminated HPC stage that ranges over a huge pool of assets accumulated from various suppliers. At last, we approve the engineering idea through cosmological re-enactment Ramses.
Committee on Cataloging: Description & Access Summer Meeting 2020

Summary of the committee meeting of the CC:DA held at the ALA annual convention.
Information Security using Cryptography and Image Steganography

Typically, hackers are ready to hack the confidential documents for their vested interests. The main challenge is to construct a secure relation between the secret message and image quality. To avoid dangerous illegal attacks by the third person, a scheme is proposed to have a combination of cryptography and image steganography techniques. This scheme will enable the security, secret message and image cannot be extracted. The International Data Encryption Algorithm (IDEA) cryptographic algorithms and Discrete Cosine Transform (DCT) based steganography algorithm is chosen for the functionality. Cryptography is used to encrypt and decrypt the document. Steganography to hide document inside an image with increasing payload for the secure transmission of confidential data across the internet. In this paper we present a single application to hide the information by the sender, which is so important document and confidential in the form of files, it will be invisible to unauthorized person. The results of a suggested scheme with respect to PSNR of 90.06 dB with a payload of 52,400 bytes of information in an image.
A Substitute Method for Color Image Enciphering based on Cell Shuffling and Scan Pattern

In today’s world, we use multimedia technologies in various daily applications to send vital information from one end to another side. However, security is a prime concern when data is sent over a public channel. There are various multimedia techniques to transfer data using sound, video, and images. However, these methods are not effective in security and performance. Therefore, we propose an advanced substitute method using cell shuffling and scanning methodology for image encryption. The suggested scheme contains two processes as (1) divide an image into many blocks, and then, its pixel position is rearranged, and (2) the scan pattern is applied to get a more complex image. After that, we do performance and security analysis for the proposed method using the correlation coefficient, information entropy, PSNR, MSE, SNR, number of pixels change rate, average intensity, and unified average change intensity.
The Transfer Learning Task as the Means of Metaleaning Tasks Solution

tHe trAnsFer leArnInG tAsK As tHe meAns oF metAleAnInG tAsKs solutIonThe methods for solving the problems of transfer learning are reviewed from the point of view of solving the metalearning tasks.The concepts of metalearning, transfer learning, multi-task learning, inductive transfer and lifelong learning are given.A scheme for solving the metalearning problem using the inductive approach is proposed.Metalearning is a generalization of all previously solved problems.It gives a possibility to save resources and to use the existing experience in solving learning problems in an optimal way.
The superdeterministic reality, and its mathematical models within the neural network

Discuss about the private space and the shared space.
Ecolibrary as the resource of modern educational environment

The activities and resources for ecological education of population at A. F. Treshnikov Library are discussed.
Konsep Dasar, Proses dan Ruang Lingkup Administrasi pendidikan

This article contains the basic concepts, processes, and scope of education administration. Educational Administration is a process of working together to achieve educational goals by looking at the relationships between educational components so that it can improve the education system by using devices that support learning activities
Software Development: The Process

In 2011, having spent the previous three years advising entrepreneurs on organizing resources and designing processes, Eric Ries laid out his methodology in the book The Lean Startup, the release of which sparked the Lean Startup movement. Its philosophy, which articulates a continuous and feedback-driven approach to product development, informs this chapter.
Machine Learning Techniques for Detecting Identifying Linguistic Patterns in the News Media v2

Proposing and comparing multiple neural network-based techniques in order to choose an optimized configuration, the described method can train a classifier to predict the publisher of news articles given a short snippet of text. This classifier's scores can then help in creation of a exemplar-based news search engine. Specifically, this model can be used to compare linguistic patterns between different news organizations and to identify prototypical articles for a news source that most "exemplify" a publisher’s coverage. Finally, these "exemplars" are made searchable through an open source browser-based application.
Developing the competence of organizing experiential activities for pre-service teachers – The case in Vietnam

Investing on human capital via enhancement of educational quality as one of the important factors to promote economic development all over the world. Basically, it is important to enhance pre-service teachers of primary education with necessary professional competences to implement teaching activities at primary schools. Based on relevant research on experiential activities, professional competence development for pre-service teachers of primary education and the general education curriculum in the case of Vietnam, the article develops a competency framework for organizing experiential learning activities for pre-service teachers of primary education in the context of education curriculum innovation; and simultaneously suggested fundamental solutions to improve pre-service teachers’ competence in organizing experiential activities. To achieve these above-mentioned goals, some research methods are used by the researchers including document analysis, pedagogical observation, and educational experience summarizing method.
PENGARUH MEDIA AUDIO DAN VIDEO TERHADAP MAHASISWA PROGRAM STUDI FARMASI DALAM KEMAMPUAN BERBICARA DI INSTITUT KESEHATAN DELI HUSADA DELI TUA

This study aims to find out: whether the use of video is more effective than using audio in improving students' pharmacists 'speaking skills. Find out whether the use of video is more effective than general media use in improving students' speaking skills. Whether audio usage more effective rather than using conventional media in improving students 'speaking skills. Find out which media is the most effective among the use of Video, Audio, and conventional media on improving students' speaking skills. This research is an experimental study using Quasi Pretest Post-test Control Group design. The research sample was students pharmacist class 1A, 1B, and 1C taken by a simple cluster random sampling technique. This research shows that video usage is the most effective medium among all of them, and the use of video is more effective than using audio in improving students ' speaking skills.
A Novel Encryption Scheme for Securing Data in HDFS Environment Inspired By DNA

Today, the majority of industries used Hadoop for processing their data. Hadoop is an open-source and programming based framework that has many components. One of them is HDFS (Hadoop Distributed Files System) that is used to stored data. Hadoop by default does not have any security mechanism. According to the previous study authentication, authorization, and Data encryption are the principal techniques to enhance the security in HDFS. As huge volume of data is stored in HDFS, encryption of massive data will consume more time and need more resources for operations. In this paper we have developed one DNA based that used confusion and Diffusion for securing data in HDFS. This proposed algorithm is efficient as compared to other encryption algorithm.
EeadSelfCloud: Energy Efficient Adaptive Depth Self Cloud Mechanism for VM Migration in Data Centers

Cloud computing, with its great potential in low cost and demanding services, is a good computing platform. Modern data centers for cloud computing are facing the difficulty of consistently increasing complexity because of the expanding quantity of clients and their enlarging resource demands. A great deal of efforts are currently focused on giving the cloud framework with autonomic behavior , so it can take decision about virtual machine (VM) management over the datacenter without intervention of human beings. Most of the self-organizing solutions results in eager migration, which attempts to diminish the amount of working servers virtual machines. These self-organizing resolution produce needless migration due to unpredictable workload. So also it consume huge amounts of electrical energy during unnecessary migration process. To overcome this issue, this project develop one novel VM migration scheme called eeadSelfCloud. The proposed schema is used to change the virtual machine in a cloud center that requires a lot of factors, such as basic requirements for resources during virtual machine setup, dynamic resource allocation, top software loading, software execution, and power saving at the Data Center. Data Center Utilization, Average Node Utilization, Request Rejection Ration, Number of Hop Count and Power Consumption are taken as constraint for measuring the proposed approach. The analysis report depicted that the proposed approach performs best than the other existing approaches.
Productivity Lecturer in the Era of the Industrial Revolution 4.0: Confirmatory Factor Analysis (CFA)

Confirmatory Factor Analysis (CFA) is a technique for finding some indicator variables that form variables/constructs that are not directly measured based on existing theories or previous studies. The purpose of this study is to find out the indicators of the most dominant variance/construction affecting it. The results of the analysis will show variables forming indicators that can explain variables. The research method used is the technique of taking respondents through simple random sampling — the number of sample respondents used as many as 100 lecturers at the university. The IBM AMOS Program is used to analyze the Confirmatory Factor Analysis (CFA). Leadership, Organizational Culture (campus), and Work Productivity are variables in the study. The results of the Goodness of Fit test obtained all parameters showing excellent results, and the analysis can continue. The results showed that the most dominant indicators were effectiveness for productivity variables, motivational indicators for leadership variables, and professionalism indicators for organizational culture (campus) variables. There is still an indicator that has not fulfilled the requirements (loading factor worth &amp;lt;0.500) of each research variable, which indicates a tendency to shift value towards each variable.