Reviewerly/exHarmony huggingface dataset:
Arduino-based solar powered auto-irrigation system

With agriculture being the primary economic sector of India and other developing countries, it is the urge of the hour to automate it in order to increase efficiency automation significantly, moderates the amount of manual labour, and makes farming easier and faster, resulting in more agricultural growth. This paper proposes the three major works in the agriculture field: the dual-axis sun tracking system for power generation to the optimum level and storing the energy in a battery which will power the auto-irrigation system. The pumps are analogised with DC motors and the whole system is controlled by Arduino. The speed of motor is controlled manually by a pulse width modulation wave generated by an operational amplifier multi-vibrator circuit. The soil moisture sensors, IR sensors and water level sensors are interfaced with Arduino to provide information about the prevailing environment conditions on the basis of which the microcontroller take necessary decisions about turning on or off of DC motors.
A self-aware systems approach for interoperability in IoT ecosystems

Interoperability between different platforms is still one of the most important gaps for value inside the Internet of Things (IoT). Current interoperability solutions are still largely driven by static & inflexible interoperability mechanisms originating from the webservice-era which do not fit the characteristics of IoT ecosystems. This is because these static, designtime approaches suffer from scalability issues since they are not suitable for large systems such as the IoT due to its real-time constraints. A dynamic approach is needed, which requires IoT systems to possess properties of intelligence in autonomous systems such as self-awareness.We propose a self-aware architecture for IoT systems, approaching the interoperability problem from a runtime perspective.
LibGuides: Open Resources: Determining the Reliability of a Resource

This page will help explain the difference between Primary and Secondary sources. You will also learn how to determine the reliability of a resource and/or website
The impact of digital solutions on organisational onboarding practice : a case study of a Saudi-Arabian organisation

This research in progress attempts to investigate the impact of digital tools on organisational onboarding practices within the context of a telecommunication company in Saudi Arabia. The research responds to the call for more studies on how digital technologies can improve employee onboarding practices. Using a qualitative methodology, semi-structured interview data will be gathered from new employees to examine how the use of digital tools has enhanced the onboarding practices and its subsequent impact on their engagement and retention. Furthermore, the research aims to contribute to a better understanding of how digital tools can be used to enhance the experiences of employees during the onboarding stage and provide future research on how digital tools change employees’ onboarding experiences. In this research, the words “digital technologies”, “digital tools” and “digitalisation” are used interchangeably.
Слухи и революция. Рец. на кн.: Аксенов В. Б. Слухи, образы, эмоции. Массовые настроения россиян в годы войны и революции (1914–1918). — Москва : Новое литературное обозрение, 2020. — 992 с., ил.

The monograph under review is devoted to the study of mass consciousness during World War I and the 1917 Revolution. More particularly, the author analyses the content and distribution of rumours in various segments of the population. Trying to explain the role of rumours in the 1917 Revolution, V. B. Aksenov turns to the concept of synergetics; random fluctuations (such as rumours) can trigger global processes as part of this concept. However, the author’s specific arguments are insufficient for such an interpretation of the role of rumours in the events of February 1917.
Warren Hunting Smith Library: Explore More Faculty Services: Scholarly Communications

This guide provides an introduction for new and current faculty to the services available in the Warren Hunting Smith Library.
Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers

Cervical cancer is a very common and fatal cancer in women, but it can be prevented through early examination and treatment. Cytopathology images are often used to screen for cancer. Then, because of the possibility of artificial errors due to the large number of this method, the computer-aided diagnosis system based on deep learning is developed. The image input required by the deep learning method is usually consistent, but the size of the clinical medical image is inconsistent. The internal information is lost after resizing the image directly, so it is unreasonable. A lot of research is to directly resize the image, and the results are still robust. In order to find a reasonable explanation, 22 deep learning models are used to process images of different scales, and experiments are conducted on the SIPaKMeD dataset. The conclusion is that the deep learning method is very robust to the size changes of images. This conclusion is also validated on the Herlev dataset.
LibGuides: Human Services Technology: Journal Help

Get started researching within the Human Services field! How do you distinguish between scholarly and popular magazines and journals?
ТЕХНОЛОГИЯ СОЗДАНИЯ МУЛЬТИМЕДИЙНЫХ ОБРАЗОВАТЕЛЬНЫХ РЕСУРСОВ НА ОСНОВЕ АУТЕНТИЧНЫХ АУДИО- И ВИДЕОМАТЕРИАЛОВ В ПРОГРАММЕ ISPRING SUITE

The article considers the iSpring Suite course authoring software as an optimal software program developing for multimedia educational resources on the base of authentic audio and video materials. Digitalization of Kazakhstani education requires from teachers developing their digital skills to use and create their own multimedia educational products to achieve provide learning outcomes and achieve corresponding teaching aims. The problems of defining multimedia, the possibilities of iSpring Suite authoring course software in teachers’ developing multimedia educational courses and applications on their own are discussed in the present study. The authors describe the technology of creating multimedia educational resources in ISpring Suite program as well as the peculiarities of working with the authentic audio and video materials while developing multimedia educational products. The effectiveness of ISpring Suite authoring course software is proved by the pedagogical experiment aimed at preparing students for the development of multimedia educational products based on authentic audio and video materials in the mentioned program. In the result of the experiment students scored 60% and more points in the final assessment which indicates the achievement of the heuristic level of training by the participants, implying formation of the necessary basic knowledge and skills as well as their reproductive activity in the field of designing educational multimedia resources.
LibGuides: Curriculum and Instructional Studies: Referencing

This guide will help students to access information resources on curriculum and instructional studies
Media Literacy Expert Group of the European Commission

The next Media Literacy Expert Group of the European Commission aims to discuss the second edition of the European Media Literacy Week, planned for the ...
Implementasi Literasi Digital Dalam Pembelajaran IPS Di SMP Islam Al-Azhar 46 Pati

AbstractAdvances in technology and information are very influential on the sharing of sectors of life that causes a wider spread of globalization, causing various positive and negative impacts. Given this condition, students must have the ability to be more careful in sorting out, searching for data collection information from the internet which is commonly called digital literacy. The ability of digital literacy is closely related to social studies learning regarding social issues in the form of events in the community. The research objective analyzes the application of digital literacy in social studies learning. This type of research is qualitative research. The subjects in this study were teachers and students of Al-Azhar 46 Islamic Middle School Pati 2019/2020. Data collection techniques using interviews and supported by the results of previous research Data analysis methods in this study are interactive analysis. The results of research in the form of the implications of the application of digital literacy in the learning process of social studies through Google Classroom, Kahoot, and Quizzleet under the supervision of teachers and parents.Keywords: Aplication, Digital Literacy, Sosial Studies Learning.
Devising a method for finding a family of membership functions to bifuzzy quantities

This paper has considered a task to expand the scope of application of fuzzy mathematics methods, which is important from a theoretical and practical point of view. A case was examined where the parameters of fuzzy numbers’ membership functions are also fuzzy numbers with their membership functions. The resulting bifuzziness does not make it possible to implement the standard procedure of building a membership function. At the same time, there are difficulties in performing arithmetic and other operations on fuzzy numbers of the second order, which practically excludes the possibility of solving many practical problems. A computational procedure for calculating the membership functions of such bifuzzy numbers has been proposed, based on the universal principle of generalization and rules for operating on fuzzy numbers. A particular case was tackled where the original fuzzy number’s membership function contains a single fuzzy parameter. It is this particular case that more often occurs in practice. It has been shown that the correct description of the original fuzzy number, in this case, involves a family of membership functions, rather than one. The simplicity of the proposed and reported analytical method for calculating a family of membership functions of a bifuzzy quantity significantly expands the range of adequate analytical description of the behavior of systems under the conditions of multi-level uncertainty. A procedure of constructing the membership functions of bifuzzy numbers with the finite and infinite carrier has been considered. The method is illustrated by solving the examples of using the developed method for fuzzy numbers with the finite and infinite carrier. It is clear from these examples that the complexity of analytic description of membership functions with hierarchical uncertainty is growing rapidly with the increasing number of parameters for the original fuzzy number’s membership function, which are also set in a fuzzy fashion. Possible approaches to overcoming emerging difficulties have been described.
Dual channel sentiment classification model based on grammar rules and multi attention

Abstract As convolutional neural networks (CNN) and recurrent neural networks (RNN) have achieved excellent results in the field of Chinese text sentiment analysis. More and more researchers are extracting features of text based on the advantages of CNN and RNN in extracting features. However, the current scholars fail to make full use of sentiment language resources such as sentiment words, negatives and degree adverbs when they adopt deep learning methods. For implicit texts without explicit sentiment words, they cannot fully identify the differences between words and sentiment tendency. At the same time, it fails to consider the grammatical structure of the text, which leads to poor classification effect for some turning sentences or summary sentences. In addition, most of the models are mainly input in the form of word vector. For English, it is very convenient to segment words through spaces between words, but for Chinese, there may be inaccurate word segmentation, which will reduce the accuracy of classification. To solve these problems, a dual channel sentiment classification model based on grammar rules and multi attention (DCGA) is proposed. Firstly, the text with clear sentiment tendency is obtained according to the grammar rules, and the local features of the text are extracted by CNN channel. Considering that the grammar rules may ignore the context information, bi-directional long short term memory network (Bi-LSTM) channel is used to extract the global features containing the context information, and attention pooling is used to improve the sentiment information extracted by CNN channel. Then, the part of speech attention mechanism is used to mine the implicit sentiment features in the sentiment text to solve the poor classification effect caused by the existence of implicit text. Finally, the local features obtained by CNN channel and the global features obtained by RNN channel are fused for classification. Experimental results on four Chinese comment text datasets show that the proposed model outperforms most existing methods in accuracy.
An Exploratory Study on Digital Payment Systems and its Impact on Trust and Continuance Intention in Newly Remonetized and Digitized Era

With the advancement in technology, this digital evolution has brought a challenge for conventional payment system of financial institution and tremendous opportunities for the developing countries. Empirical research on digital payment system and its continuance intention is very less and to address this research gap, researcher has examined a research model. The result shows that Perceived Reputation, Perceived Security, and Perceived Structural Assurance with digital payment systems has positive impact on trust and Continuance Intention. The findings of this research work provide valuable evidence for policy makers and banks to foster their work practices in the field of digital payment systems in India.
The Role of the Enterprise Cultural Heritage in Times of Crisis and Legacy Management Principals. Marketing Approach

Nowadays, each company or organization trying to build a strong brand out of its products or corporate name. Why is it happening? Because consumers are different now – people aren't looking just for the product's physical characteristics or satisfaction of their physical wants and needs; they pay more and more attention to the soft assets and intangible characteristics of the product. We are diving deeper into the virtual world and pay more attention to intellectual things. Consumers are more intent to be part of the value co-creation process and share the brand values many researchers say. A brand could be defined as an intellectual part of the product, which has a strong positive connection to the consumer and brings extra value to the product or a company in a consumer's perception. [17] What can bring this positive connection? There are three levels of brand communications: how we look; how we talk; how we act. [1] Managing all of them we could create a good story of your brand, which matches the customer's lifetime value system and build that positive connection. In other words — the good story brings you clients and adepts who bring you money and benefits. Building a company's history or a legend, we create and manage enterprise cultural heritage and this legacy turns to the revenue over time. In terms of understanding a brand's legacy perception, we use the Chernatony-Thompson model, which gives us the look to the emotional and intellectual consumer's connection to the brand. We conducted the exploratory survey and get an understanding of the Plekhanov Russian University of Economics (PRUE) brand value students' perception and set its brand equity basis - the university has over a hundred years of traditions and history. Also, as a result, we present the examples and analysis of the brand legacy creation and management of the Enterprise Cultural Heritage process at the first and oldest marketing department in Russia. We see the importance of the work in modern conditions and time of global changes because education and science in the field of life where, by building the legacy, you're creating the future! The study composed as the first part of exploratory research to identify the problems of enterprise cultural heritage perception by the target audience. The result includes a theoretical basis and current situational analysis and preset for the model of company legacy management.
Library: ENGL 2367 Remote Instruction Resources: Chicago Style

This guide contains various instruction modules that teachers can use for remote library instruction .
AN ANALYSIS ON THE ENGLISH TEACHER'S STRATEGIES IN TEACHING DESCRIPTIVE WRITING THROUGH ONLINE CLASS AT THE SEVENTH GRADE OF SMP N 3 GUBUG IN THE ACADEMIC YEAR 2019/2020

Ani, Fitri, 2020. An Analysis on the English Teacher’s Strategies in Teaching Descriptive Writing Through Online Class at The Seventh Grade of SMP 2 Gubug in the academic year 2019/2020. A Graduating Paper. English Education Department,Teacher Training and Education Faculty State Institute for Islamic studies Salatiga. Counselor: Aprilian Ria Adisti, M.Pd. This study aimed at answering the following research question: (1) What are the English teacher’s strategies used in teaching descriptive writing through an online class? (2) How is the procedure of implementing those strategies in teaching descriptive writing through an online class? (3) What are the advantages and disadvantages of teacher's strategies descriptive writing through an online class? This study was qualitative research. The research used observation, interviews and documentation to collect the data. The results of the study show that (1) there are three strategies that the teacher used in teaching descriptive writing in class; the online learning, breakdown text, and mind mapping. (2) The teacher gives material in the form of soft files which are sent via WhatsApp groups. (3) The advantages of online class, teaching in online class more efficient, practical and flexible. Meanwhile the disadvantages of online class are spends a lot of quotas, the teacher cannot control students directly. Key Word: Teacher Strategies, Teaching Descriptive Writing.
Using Risk Assessments to Assess Insurability in the Context of Cyber Insurance

In the current globalisation framework where electronic transactions and data sharing is a common activity, cyber-risks analysis, protection and avoidance have become a key aspect which must be book and prioritised on the business agenda in companies. Nevertheless, this issue is difficult to analyse given the dimension of the problem and the company units and individuals and infrastructures which are involved. In consequence, cyber-insurance is considered as the appropriate mean to avoid financial losses caused by information technologies infrastructures and procedures security breaches. This paper analyses and describes how costumers and their cyber-risks should be assessed by an insurance company in order to establish the company status and implement the required actions to fix the issue. This work describes the three phases required to complete a full cyber-risk assessment and the risks evaluation. Furthermore, the paper highlights the resources that the insurer should keep in its road-map to implement the risk assessment and, thus, to determine the company insurability, and the requirements to reach such condition. After the risk analysis completion at the customer’s premises, it must be evaluated subsequently at all levels. Among other factors, this evaluation is based on 63 question criteria. In the risk assessment criteria weights are not uniformly distributed and weighting is applied according to the relevance. In particular, criteria that should receive a special attention are referred to as showstoppers.
Humanity in a New Reality: Global Biotechnological Challenges

An overview of the international scientific conference which was held at the Institute of Philosophy of the Russian Academy of Sciences in November 2020 as a part of the XX Readings in the Memory of Academician Ivan Timofeevich Frolov (1929–1999) is presented. The conference was dedicated to the global changes in the socio-anthropological reality associated with the use of the latest biotechnologies and the consequences of the pandemic of the coronavirus COVID-19 in the modern world. During the conference the following issues were discussed: interaction between man and technology, the upgrading of the economic structure of the world in terms of biotechnological stage of the scientific and technical revolution, anthropogenic challenges of the global ecosystem, the consequences and lessons of the coronavirus pandemic, bioethical issues of experiments on human subjects and editing of the human genome, the ethical challenges of genetic technologies in clinical practice, the problem of the status of the human embryo in embryology and genetics, state of the world in the era of global imbalances, the responsibility of modern man to the future of the planet and of the human race. At the conference three new books were presented. The book “Philosophical Conversations with Academician I.T. Frolov” includes transcripts of TV programs of the series “Philosophical Conversations” which Academician I.T. Frolov conducted on Central Television in 1986–1990. The project “Philosophical Conversations” caused a great response in the media and was recognized not only by the philosophical community but also by the general public. The other book is a second edition of I.T. Frolov's monograph “On Man and Humanism” which at the time became a kind of encyclopedia of human studies. The monograph in a concentrated form contains the main results of the Soviet philosophy of man in the 1960s and 1990s. In the book “Man in the Global World: Risks and Prospects” which is based on the results of the XIX Frolov readings man and his future are thought of as the main global problem. The scientific essence, ethical grounds and global consequences of the use of the latest NBICS technologies are considered as well as the way the collisions of global economic, environmental, and geopolitical crises affect the daily life of each person.
The Construction of a Corpus for Detecting Irony and Sarcasm in Portuguese / A construção de um corpus para detectar a ironia e o sarcasmo em Português

Portuguese is a low-resource language, where a few works developed corpora for specific Natural Language Processing tasks, such as sarcasm and irony detection, sentiment analysis and others. In this work, we developed a corpus in the Portuguese language to sarcasm and irony detection task. In the future, we intend to develop a tool to recognize sarcasm and irony and we intend to use the corpus presented in this article.
DI Library: Citing Sources: Citation Basics

Tips on citing sources from the DI Library Information about what a citation is and how to create one