Reviewerly/exHarmony huggingface dataset:
Leigh Royden Receives 2019 Walter H. Bucher Medal

Leigh Royden was awarded the 2019 Walter H. Bucher Medal at AGU’s Fall Meeting 2019 Honors Ceremony, held on 11 December 2019 in San Francisco, Calif. The medal is for “original contributions to the basic knowledge of the crust and lithosphere.”
The Administrator's Role in Personalized Learning

Schools would not be able to function effectively without administrators. They ensure that teachers instruct, that parents are happy with how their child is being taught, and that the child is being treated fairly. They also work with community members to ensure the children are safe and are being taught concepts that will be useful to them as they enter the job market. School administrators also get the blame if something is not done correctly; consequently, it is vital when making a change to the academic curriculum and wanting to incorporate a new service-delivery model like personalized learning that the school administrator works closely with all the stakeholders and gets everyone on board so changes can be made. This chapter describes how to accomplish this task effectively.
Design of Fuzzy Controller Based on Penman-Monteith Equation for Drip Irrigation

The agriculture sector plays vital role in overall socio-economic status of India. The involvement of Indian population in agriculture and associated activities is 54.6% (census 2011). The net cropped area is 43% of entire geographical region of India and area under irrigation is 68 million hectares. However, availability of water is an important for agriculture. The supply of water to agriculture field is known as irrigation, in traditional irrigation method there is wastage of water. The evapotranspiration (ET) is combined technique, in this wetness of soil is lost in the form of evaporation in atmosphere and plants absorbing water from soil is transferred to atmosphere. Evapotranspiration depends on uncertain parameters like radiation of solar, temperature of air, speed of wind and humidity. Thus, in this research work a smart fuzzy control water irrigation system is designed to tackle uncertain situations maintaining proper water level as per requirements of crops.
New Multiple Access

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A Lightweight Cryptographic Algorithm using Pseudo Stream Cipher and Trigonometric Technique with Dynamic Key

IoT (Internet of things) equipments is used heavily, but they are poor in security issue and security can be pierced. Also the message that the IoT device transmit is the main cause for their security lapse. that the IoT devices send may lead to the breach of users’ privacy. To make the communication secure between IoT nodes and servers, a lightweight cryptographic algorithm using pseudo stream and trigonometric function with dynamic key is proposed. This algorithm works in different phases, the first is mutual authentication followed by key synchronization and then a trigonometry function for encryption and decryption, with updation of key after specific time period. The algorithm assures that the IoT node will not be overloaded and the security is enhanced by reducing the chance of cryptanalysis. The mutual authentication, session key synchronization and updation of session key are completed through several encrypted communication. Here, the key length and update cycle are variable to prevent attack. We compare the security and performance for mutual authentication, with some light weight authentication scheme and performance of encryption algorithm are compared to other algorithm like Hill Cipher, RC4, RSA. According to analysis the proposed mutual authentication and secret key for session synchronization can provide more security features with low over head of communication which is suitable for protect communication security of IoT with limited resource and power. The encryption decryption algorithm provides better performance. Trigonometric concept is used in the design of encryption decryption algorithm.
User Authentication and Password Protection using an Algorithm ACR

In general, every web or android based application required security for login. So for that we have to encrypt the password while signup itself,these encrypting the password there are many algorithm but by trail and error method or by using some attacks(man in middle attack etc..,) we can know the password, so in order to reduce attacks we came up with new algorithm to protect the password. Even after getting the password where many of the applications like banking , messaging application uses OTP process. These OTP could also be stolen easily (although it is difficult to do so) but still. So to over come this we came up with modified OTP process that decreases the time and it will be difficult to stole. So here we first we will encrypt the password using algorithm ACR and when user want lo login we go with the modified OTP process.
A Study in the Acquisition of Language

This study reports an experiment concerning the spontaneous responses of young children to commands differing in structural format and semantic content. The results indicate that syntactic comprehension exceeds production in “telegraphic” speakers. Based on these results, conjectures are offered about the techniques which a child might use in coping with his linguistic environment
The research of multimedia dynamic image 3d adaptive rendering method

The 3d adaptive rendering of the multimedia dynamic image is conductive to improve the quality of the image. The current method renders the multimedia dynamic image by geometric information scenario modelling which has the problem that rendering efficiency is low. To solve this problem, a 3d adaptive rendering method based on OGRE is presented in this paper. This method firstly uses compressed domain to correct segmentation of the image and then using SIFT operator and Forstner operator classifying image characteristics, finally according to the array image complete 3d adaptive image rendering. The experimental results show that this method has obvious advantages in terms of classification time, rendering energy consumption, segmentation efficiency and other aspects in comparison with other methods, which fully demonstrates that this method improves the rendering efficiency of images.
Cloud Computing Environment with Security Issues

Security is a significant subject of a few software systems. Cloud computing continue to be assertion as a most important innovation in IT management. The objective of this paper is to make available the recent advancement and a wide impression of the obtainable literature cover an assortment of dimensions of the Cloud security. In addition to the efforts of the paper industry, it also concludes the directions created at various levels for future research in cloud security base on related work. This possibly will be extremely useful, predominantly for the entrance level researchers, who desire to behavior the research in these connected areas.
The Ultrabasic Potassic Rocks of Presidente Olegario, Serra da Mata da Corda, Minas Gerais, Brazil

Ultrabasic potassic-ultrapotassic rocks are generally included in one of three groups: kimberlites, lamproites and kamafugites.Petrographically, the distinction between these groups seems relatively simple.The fragmental texture of kimberlites contrasts with the volcanic features found in lamproites and kamafugites.The latter two can be further identified by the presence (or absence) of some typical minerals.This straightforward scheme, however, is blurred by examples of mineralogical and chemical convergence, as shown by similarities between micaceous kimberlites and lamproites.or by cases in which mineralogy seems to point to one of the rock groups while chemistry points to another.Such a situation was found during studies on the rocks of the Presidente Olegdrio pipe.
Eigenpairs and Similarity Transformations

Successive cofactor expansion along the 1st column, 2nd column, 3rd column, 4th row, 5th column, 6th row, and 7th row, yields det(A−λI) = (2−λ)·(2−λ)·(2−λ)·(2−λ)·(2−λ)·(2−λ)·(3−λ)·(3−λ).
User Interaction Using Controls

Users choose dates, times, text, integers, doubles, and other values on mobile devices by using tactile controls. Touch-sensitive screens have user interaction that differs slightly from mouse-driven UIs: most is done with the thumbs and forefingers on the touchscreen. From the user’s standpoint, this results in a hands-on control-panel interface with switches, icons, sliders, keyboards, and pickers that sometimes look—but, more important, feel—like physical mechanisms.
Anaphora Resolution using ThemeSets

Anaphora resolution is a procedure of replacing pronouns with its referring nouns which may be available in the same sentence or in different sentences within the same document. Even multiple approaches are available for anaphora resolution; there may be some space for semantic approaches which provides solution better than syntactic or corpus based approaches. In syntactic approaches, all noun phrases from the previous or current sentences are checked for getting constrains agreement with the anaphor and score value is calculated for a pair of Noun-Pronoun based on these constrains. The pair getting the highest positive score is treated as the result. In some cases the sentence structure is not changed, hence the score corresponding to the feature values and syntactic structures are same. Here the actual replacement of pronoun with noun depends on the meaning of the sentence especially the meaning of the verb. To resolve such situations, here we are proposing a method which is a combination of syntactic and semantic approaches based on ThemeSets or thematic sets. Using ThemeSets we are exploiting the role of verbal lexemes associated with the noun or pronoun for the resolution of anaphora. Anaphora resolution in semantic way has great importance in the modern era of artificial intelligence which enhance multi-dimensional research in the area of natural language processing in a better way.
Detection and Classification of Mammogram using Fusion Model of Multi-View Feature

The greatest reason for ladies' demise on the planet today is Breast malignant growth. For bosom malignancy location and order advance building of picture arrangement and AI techniques has to a great extent been utilized. The involvement of mammogram classification saves the doctor’s and physician’s time. Aside from the different research on bosom picture characterization, not very many survey papers are accessible which gives a point by point depiction of bosom disease picture grouping methods, highlight extraction and choice techniques, order estimating parameterizations, and picture arrangement discoveries. In this paper we have focused on the survey of Convolutional Neural Network (CNN) methods for breast image classification in multiview features. In this review paper we have different techniques for classification along with their results and limitations for future research.
Translating U.S. Informatics Educational Programs for Non-U.S. Audiences

A great deal of informatics educational content has been and continues to be created in the United States. It is incumbent on U.S. educators to consider translating and disseminating such content globally, with the goal of collaborating with other countries to increase informatics professional capacity worldwide. While there are numerous constraints to this endeavor, such as organizational, technological, and cultural differences between the U.S. and other countries or regions, these are not insurmountable. The use of information and communication technologies in the service of disseminating educational materials for informatics training considerably mitigates these constraints, and sensitivity to the needs and customs of countries and regions targeted for educational content dissemination will help to ensure successful implementation of this training.
Approximation Theorems

This chapter presents a few classical real analysis results with applications to learning continuous, integrable, or square-integrable functions. The approximation results included in this chapter contain Dini’s theorem, Arzela-Ascoli’s theorem, Stone-Weierstrass theorem, Wiener’s Tauberian theorem, and the contraction principle. Some of their applications to learning will be provided within this chapter, while others will be given in later chapters.
Metadata Management

The previous chapter examined how the record manager stores records in files. However, a file is useless by itself; the record manager also needs to know the records’ layout in order to “decode” the contents of each block. The layout is an example of metadata. This chapter examines the kinds of metadata supported by a database engine, their purpose and functionality, and the ways that the engine stores metadata in the database.
Information security

Information security is a very important component of system and network security. The understanding and implementation of the five pillars of information security, namely, confidentiality, integrity, availability, authenticity, and nonrepudiation, is fundamental to the protection of information assets from the omnipotent adversarial cyber threat. The evolving adversary requires a counter active information security program for both small and large organizations. This chapter defines the fundamental elements of information security, and presents the core standards for information security, threat classes, and data classification standards. With the rapid adoption of the Internet of Things (IoT) paradigm, IoT device security has become an important topic, which is addressed in detail in this chapter. Standards associated with information security in health care, as well as the National Institute of Standards and Technology (NIST) framework for cyber security, are also described in detail. The chapter concludes with a discussion on the foreseeable challenges for information security in the IoT era.
The Effect of Transformational Leadership Style Practice on Academic Staff Commitment of Private Colleges Hawassa City

This study aimed to identify the effect of transformational leadership style practice on academic staff commitment of private colleges in Hawassa city.The researchers employed a quantitative research approach with an explanatory research design.A simple random sampling technique was employed to select academic staff from colleges.The result of regression analysis was applied to investigate the effect of transformational leadership style practice on academic staff commitment.The findings of this study showed that, challenge the process, inspiring a shared vision, enabling others to act, modeling the way, and encouraging the heart have positive and statistically significant effects on academic staff commitment.Hence, the paper suggested that private colleges should improve the transformational leadership style practices to encourage academic staff commitment.
Blockchain Smart Contracts on IOT

Blockchain smart contracts are PC programs that can be adequately executed by an arrangement of ordinarily questioning center points, without the need of an external trusted in power. Since shrewd contracts handle and trade assets of huge regard, other than their correct execution it is also imperative that their use is secure against ambushes which go for taking or modifying the favorable circumstances. Ethereum, the most eminent and used structure for sharp contracts up to this point. It analyze the security vulnerabilities of Ethereum smart contracts, giving a logical order of customary programming traps which may incite vulnerabilities and exhibit a movement of attacks which misuse these vulnerabilities, empowering a foe to take money or cause other mischief
Quality in the Electronic Era

SUMMARY. The ISI Journal Citation Reports impact factor has changed in recent years from an obscure bibliometric indicator to become the chief measure of the quality of a journal, its research papers, the researchers who wrote those papers, and even the institution they work in. This talk looks at the limitations of the impact factor and how it should and should not be used. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;https://www.HaworthPress.com&gt;]
Research on Trust Computing for Cloud Service Providers

Cloud computing has evolved over a decade and thrived to the state that Information Technology cannot survive without cloud. It has evolved in such a way that it is embedded in every one’s life. Though cloud has become integral part of every new software, still there are gaps in security features and customers keenly look into multiple aspects of cloud service provider features before choosing their appropriate CSP. More than cost and features Cloud Service Provider should gain trust of the clients to do more business. There are lot of factors involved to gain confidence of client such as transparency, cost, security etc. Also how flexible the provider can help in deploying for various light weight devices such as Internet of Things (IoT) also matters where in IoT is emerging industry. Concurrently Cloud Service capability to work in collaborative fashion and other machine learning features will also take into account by clients to choose their respective best fit Cloud Service Provider.
OPTIMASI MESIN PENCARI BUKU FIKSI BERDASARKAN PADA SEMANTIK IMPRESI

Fiction books are one of the most popular books in Indonesia. There are five most popular genres in fiction books, namely fantasy, mystery, romance, sci-fi, and thriller. Each genre gives a different impression and its own fans for the reader. It is common practice when people choose fiction books based on the title, author, or publisher of the book. However, this does not provide precise search results. In this final project, an application system was developed to find out fiction books based on the semantic impressions contained on the cover of the fiction book. The impression on each book cover is obtained through a survey of fiction book lovers in Indonesia. To get the results of the proximity between the user search and the impression survey data obtained through text mining, as well as the cosine similarity algorithm to calculate the most precise proximity value to the impression expected by the user. The results of this system display fiction books that have the most precise proximity value to the impression expected by the user.
Multi-modal autoencoders for learning tight mechanical analyzers around fractures or voids

Machine Learning (ML) and Digital Twins (DT) are at the heart of today’s different industries, ranging from advanced manufacturing to biomedical systems to resilient ecosystems, civil infrastructures, smart cities, and healthcare. They have become indispensable for solving complex problems in science, engineering, and technology development. The purpose of the MMLDT-CSET 2021 conference is to facilitate the transition of ML and DT from fundamental research to mainstream fields and technologies through advanced data science, mechanistic methods, and computational technologies. This 3-day conference features technical tracks of emerging ML-DT fields and applications, special public lectures, short courses, and demonstrations. The conference will be held in a hybrid format, featuring both on-site and virtual sessions.
The 2019 VGTC Virtual Reality Technical Achievement Award

The 2019 Virtual Reality Technical Achievement Award goes to Anatole Lécuyer of Inria
APLIKASI KALKULATOR KOMPONEN ELEKTRONIKA BERBASIS ANDROID

Android is the most popular OS today, many of which use android as a learning medium, knowledge and tools for calculating examples such as making electronic component calculators that can help repair technicians of electronic devices. In this study, the authors made an electronic component calculator application that can calculate a component value by reading the component codes carried out by the application. In making this application using Android Studio tools to create the source code. Adobe Photoshop is of course for the design. Of course, this is in line with the purpose of the author's research. The results of research by electronic device repair technicians and students are greatly helped by this application.
Enhancing Fault Tolerance of Cloud Nodes using Replication Techniques

The cloud technologies are gaining boom in the field of information technology. But on the same side cloud computing sometimes results in failures. These failures demand more reliable frameworks with high availability of computers acting as nodes. The request made by the user is replicated and sent to various VMs. If one of the VMs fail, the other can respond to increase the reliability. A lot of research has been done and being carried out to suggest various schemes for fault tolerance thus increasing the reliability. Earlier schemes focus on only one way of dealing with faults but the scheme proposed by the the author in this paper presents an adaptive scheme that deals with the issues related to fault tolerance in various cloud infrastructure. The projected scheme uses adaptive behavior during the selection of replication and fine-grained checkpointing methods for attaining a reliable cloud infrastructure that can handle different client requirements. In addition to it the algorithm also determines the best suited fault tolerance method for every designated virtual node. Zheng, Zhou,. Lyu and I. King (2012).
Session details: Theme: Information systems: SWA - Semantic web and applications track

The technical track "The Semantic Web and Applications (SWA)" focuses on advancing the topics, techniques, and applications to realize and/or utilize the Semantic Web. The contributions to this track typically include research and development concerning issues such as: 1) developing ontologies for Semantic Web applications; modeling, management, integration and interoperability of Semantic Web data; 3) improving query techniques and quality enhancements; 4) Innovative approaches for achieving Semantic Web goals in specific application domains.
TERMINOPATIYA: COACH

The article analyzes the lexico-semantic meaning of the term of English origin coach and coaching, the frequency of its use in speech of the Russian-speaking society. A comparative analysis of the professional characteristics of the coach and the teacher, their working conditions and working methods is carried out. It is concluded that extrapolation of the concept of economic term to the sphere of general and higher education in Russia is irrelevant.
Chapter 1 Blockchain technology: architecture, consensus protocol and applications

Blockchain technology is a database of transactions. It is immutable, distributed, transparent and secure. Blockchain technology is an upcoming technology that has tremendous scope. This chapter discusses the components of a blockchain and its applications. The components of a blockchain include block, linked list, chain, genesis block and consensus protocol. A block is a single transaction. Blockchain is a collection of blocks linked by hash cryptography. Each user on the blockchain has a dedicated chain. The consensus protocol defines the mechanism using which transactions are added to the blockchain. The design of consensus protocol emphasizes on suitability to fight against network attacks and fast database update. Some consensus protocols included in this chapter are proof of work, proof of stake and proof of elapsed time. The several applications of blockchain as namely, internet of things, cloud computing, healthcare, medicine, storage and education. Smart city development and financial applications are other domains of use.