Reviewerly/exHarmony huggingface dataset:
Professional Communication In The Sphere Of Ecology - The Culture Of Dialogue

The high social value and an urgent need to find solutions to ecological problems enable us to consider the sphere of ecology as a significant component of social practice which embraces all aspects of social life. Information accumulated over the course of longstanding diverse ecology-related activities and research is re-evaluated, generalised and summarised in the form of knowledge. This is exactly what lets us regard the sphere of ecology as an interdisciplinary field of knowledge being established and developed. To address environmental issues, which are viewed as problems of anthropogenic transformation of the environment, it is crucial to not only to acquire ecological information of high quality internalised in the form of knowledge, but also to take into account the nature of professional communication that prompts information circulation. The main purpose of professional communication is that of ensuring coherence and coordination in the efforts of specialists working in various fields (both scientific and humanitarian) and with different industries. These efforts are aimed at solving ecological problems at different levels, including local, regional and global. The global nature of social practice in the sphere of ecology, which involves the whole humanity, entails special requirements for professional communication, which should be regarded as a factor of and the main means for finding ways to address ecological concerns.
Custom Window Boxes for persuasive display of products

Display of the product attracts the prospects and makes it easy to sell. It is hard to convince the prospects to buy when the overall
Superconducting Magnetometers and Electronic Control System

Author(s): Zhou, Yuchao | Advisor(s): Cybart, Shane A | Abstract: Superconducting devices provide unique properties and new potential for future electronics. Magnetometers and gradiometers based on superconducting materials such as Superconducting Quantum Interference Devices (SQUIDs) are amongst the most sensitive detectors of magnetic field. They have been widely used in geological, biomedical, and electromagnetic analysis. More and more, applications require superconductor sensors with large dynamic ranges and high slew-rates. Additionally, the capability of parallel processing many sensors in high demand. This dissertation reports on the experimental results of several high temperature superconductor based magnetometers and the further analysis of their electronic properties, followed by a novel approach using high-speed digital electronics to control some of the sensors.Currently, commercialized control systems based on analog flux-locked loops (FLL) are mainly designed for low-transition temperature SQUIDs. Distinct analog circuits have to be designed or customized to each type of SQUID sensor with different electrical properties for optimal performance. The rapid advancement in the performance of high-frequency digital components, driven by the mobile communication industry, motivates the further development of digital FLL (DFLL). In order to develop a system with adjustable features for different types of SQUIDs, we used Field Programmable Gate Arrays (FPGA) to implement the new DFLL. This approach can be easily scaled up to support a large number of sensors instead of having multiple analog circuits. The reprogrammable feature of the FPGA gives the system the capability to modify the FLL for SQUID sensors in real time. The system combines both traditional FLL with flux jump and counting together to provide a much larger dynamic range. At the same time, algorithms have been developed for analyzing and tracking in order to achieve an accurate lock on both SQUIDs. This approach is also a potential electronics system that can operate other magnetometers such as long junctions. Additional digital signal processing (DSP) can be used for SQUID data analysis, including parallel processing, digital gradiometer subtraction, and SQUID imaging.
Artificial Intelligence and Aesthetics of Music: Intelligent Anarchy. diagramic notebook on: AI-IA relations

An experimental diagramic article on the relationship between Artificial Intelligence and the aesthetic of music.
Analysis of Determinants of Private Investment in Ethiopia

To make private investment more attractive, most African countries have liberalized market and attempted to create enabling environment in recent decades.Ethiopia, like many African countries, took some steps towards liberalizing market and the macroeconomic regime as well as introducing some measures aimed at improving the investment regulatory framework.This study analyses the determinants of private investment in Ethiopia using a time series analysis over the period of 1975 to 2009.The study gave an extensive account of the theoretical explanation of private investment as well as reviewing the policy regimes, the investment regulatory framework and institutional set up in the country over the study period.It also undertakes empirical analysis to establish the determining factors of private investment in Ethiopia.Our findings show that growth rate of real GDP, availability of credit, and public investment among others, have positive impact on private investment.On the other hand, macroeconomic instability (liberalization), lending rate, and consumer price index (CPI) have negative impact on private investment.The results suggest that policies that address only some components of macroeconomic instability may not be enough to revive private investment.Thus, the findings imply that liberalization of the market and regulatory regimes, stable macroeconomic and political environment, and major improvements in infrastructure are essential to attract private investors to Ethiopia.
Adaptation and Selection Techniques Based on Deep Learning for Human Activity Recognition Using Inertial Sensors

Deep learning techniques have been widely applied to Human Activity Recognition (HAR), but a specific challenge appears when HAR systems are trained and tested with different subjects. This paper describes and evaluates several techniques based on deep learning algorithms for adapting and selecting the training data used to generate a HAR system using accelerometer recordings. This paper proposes two alternatives: autoencoders and Generative Adversarial Networks (GANs). Both alternatives are based on deep neural networks including convolutional layers for feature extraction and fully-connected layers for classification. Fast Fourier Transform (FFT) is used as a transformation of acceleration data to provide an appropriate input data to the deep neural network. This study has used acceleration recordings from hand, chest and ankle sensors included in the Physical Activity Monitoring Data Set (PAMAP2) dataset. This is a public dataset including recordings from nine subjects while performing 12 activities such as walking, running, sitting, ascending stairs, or ironing. The evaluation has been performed using a Leave-One-Subject-Out (LOSO) cross-validation: all recordings from a subject are used as testing subset and recordings from the rest of the subjects are used as training subset. The obtained results suggest that strategies using autoencoders to adapt training data to testing data improve some users&rsquo; performance. Moreover, training data selection algorithms with autoencoders provide significant improvements. The GAN approach, using the generator or discriminator module, also provides improvement in selection experiments.
LibGuides: Art & Art History: Home

This public library LibGuide provides resources around art, artists, and art history for teens and adults.
Interactive Sensor-Based Virtual Experiment Digital Textbook System on Smart Phone and Learning Cloud

This study looks at digital learning material as its qualified virtual practice/virtual experiment learning content and designs the best learning content to satisfy the existing definition of functions and services of digital learning material. The virtual practice/virtual experiment learning content service should meet the requirements. It is created considering a link to/synchronization with future learning content services built and operated by distance universities. This research defined learning model scenarios based on failure-experience learning model in oxygen titration for chemical experiments. The research developed the failure-experience learning scenario for chemical experiments’ oxygen titration and developed a prototype for digital learning material service which will be provided to learners. It also conducted a survey asking learners on the developed virtual experiment learning material service. The survey results found that the service could be effective to improve the learning efficiency.
Knowledge Audit (A Brief Review on Concepts and Methodologies)

In the late 21st century, knowledge became the most meaningful resource of globalized economy. It is the knowledge that determines the health of all business in high tech manufacturing, services or information sectors. Knowledge management is the solution to the issue. As Peter Drucker declared: We cannot manage what we do not know how to measure! So the knowledge audit, the first step of knowledge management implementation in organizations, as a key success factor is the best answer to understand how and what we could measure! This literature defines different aspects of knowledge audit as the solution for organizations' knowledge needs.
Media Pembelajaran Berbasis Teknologi Informasi Di Taman Kanak-Kanak

Abstract. Partners of this Community Partnership Program are IGTKI South Sulawesi Province. The problems are: (1) The teacher's lack of understanding of the usefulness of information technology in making learning media; (2) the minimal use of information technology in the learning process; (3) The teacher's need for a training to make learning media based on information technology intensively. The external target is learning media based on information and communication technology and is interesting and in accordance with the characteristics of early childhood. The methods used are: lectures, demonstrations, discussions, questions and answers, and companion partners. The results achieved are (1) partners have knowledge and understanding of the usefulness of information technology in making learning media (2) partners have the skills to design and design learning media that are attractive and in accordance with the characteristics of early childhood, (3) partners have the ability to improve educational quality of learning
Predicting Global Trends in COVID-19 Cases Via Online Symptom Checkers Self-Assessments

Download This Paper Open PDF in Browser Add Paper to My Library Share: Permalink Using these links will ensure access to this page indefinitely Copy URL Copy DOI
Immersion and Control in Learning Art Knowledge: An Example in Museum Visit

New technologies are extensively used in learning and their potential positive impact is still evaluated, in particular on tablets and Virtual Reality (VR). The interest of this technology is the immersion and the control they can bring to the learning environment. To study the impact of the degree of immersion and control on learning we evaluate the performance, intrinsic motivation and self regulation on a first experiment. The task consisted of a virtual visit of a 3D museum based on four different conditions, (1) high immersion with active VR, (2) passive high immersion, (3) low immersion with active tablet, (4) passive low immersion. The intrinsic motivation and emotion were evaluated with a self-reported questionnaire, and self regulation with behavioral indicator. Results show that an active control of the learning improves performance, but it did not impact intrinsic motivation and had a partial impact on self regulation. Immersion had no impact on performance and intrinsic motivation, but it impacts partially self regulation. Because overall performance was quite low, we supposed that participants were mentally overloaded by the high amount of information. To test the effect of cognitive load, we did a second experiment in which a low cognitive load condition was added and compared to the sample of experiment one who was in a high cognitive load condition. Results showed higher performance in low cognitive load condition rather than in high one. Also control still had a positive impact on learning on low cognitive load, and immersion had no impact.
Research Guides: Electronic Resources at The Evergreen Library: Electronic Journals & Articles

This guide aims to bring together all the electronic resources (e-books, e-journals, databases, streaming media) and digital content available through The Evergreen State College Library.
Atividade Física, Pessoas Idosas e Isolamento Social – um olhar a partir de vídeos do Youtube

The study aimed to analyze the content of the videos to support PA of elderly people in social isolation, available on Youtube during the Covid-19 pandemic. Exploratory, qualitative study, based on videos available on the YouTube sharing platform. Of the twenty videos analyzed, there was a high number of views and a concern with the methodology of presenting the exercises to elderly people, thus revealing a care adjusted to the functional capacities of this group.
Recommendations for approaching the introduction section of manuscripts and grant applications.

Research on dental and dental hygiene education is key to improving learning, teaching, and oral health care in academic dental institutions. Faculty should be able to write research proposals and reports properly to secure funding for research and share the findings of studies with stakeholders. Specifically, they should demonstrate why the study matters in the introduction section of their text. Our experience in mentoring dental and dental hygiene faculty shows that some have difficulty justifying the importance of their studies due to the way they approach the introduction section. This short communication provides 3 recommendations to help faculty approach and write this section adequately, which can be useful for writing other sections of manuscripts and grant applications.
Finding Stories Beyond The Dots

Karin Schaupp has had an international career as a concert guitarist and she has also trained extensively as an actor and used her skills to create multiple cross-platform projects.Through this process she discovered the immense expressive potential of applying acting techniques to musical performance. In this lecture-recital Karin will share an overview of her projects and the artistic research intrinsic to her process. Karin will also discuss how she applies acting techniques in her teaching at tertiary level and why she feels these techniques have the potential to fill a notable gap in the training of instrumentalists.
Rethinking Multi-Agent Systems for the World Wide Web

Recent standards are turning hypermedia into a homogenous information fabric that interconnects everything: physical objects, documents, abstract concepts etc. Clients can not only browse, but also observe and act on this hypermedia fabric. We present our vision for a new class of multi-agent systems that are: 1) aligned with the Web architecture to inherit the properties of the Web as a world-wide, open, and long-lived system, and 2) transparent and accountable to support acceptance by people.
LibGuides: A Tutorial for Teens : Home

This guide is meant to teach teenagers (12-19) in how to search for materials regarding their mental health. It will provide step-by-step instructions on how to find articles using the King Library OneSearch.
A Study of Fibonacci Number in S-box Block Cipher

Substitution box (S-box) plays an important role in block cipher to protect data from any threats. The need for secure cipher is ever-increasing to protect data in several ways to provide confidentiality, integrity and authentication. The data is encrypted to prevent unauthorized users from accessing the information. However, as stated in the National Strategy ICT Roadmap, security is one of the pressing needs and critical infrastructure in Malaysia. In addition, within the advancement of technology the design of cryptographic algorithm in block cipher is often enhanced to ensure that the information is secure. Therefore, this paper proposed the new S-box using the concept of Fibonacci number in nature to improve the security of block cipher algorithm. Result showed that the new proposed S-box using the Fibonacci number possessed good cryptographic properties.
Drafting Guidelines For Vocabulary Selection By Data Curators and Repositories

Research and data management communities in the earth and environmental sciences are increasingly recognizing the value of using formal, controlled vocabularies for annotating datasets, rather than relying on unconstrained keywords. However, data managers and users have many potential vocabularies to choose from, that are hosted in multiple ways (https://vocab.nerc.ac.uk/, http://www.ontobee.org/, http://esipfed.github.io/cor/), often with overlapping topical coverage and differences in how they are formally constructed and managed. The community currently needs guidelines for choosing among available vocabularies, to ensure data can be more readily found and interpreted by target stakeholders.The goal of this working session is to outline a set of guidelines to assist repositories and data managers in choosing appropriate vocabularies. Concise guidelines will assist them in ascertaining the quality and utility of a controlled vocabulary, and must be balanced with vocabulary’s own concerns for broad interoperability, adaptability, reliability and governance. The guidelines should serve to clarify how vocabulary features can help meet the data discovery and re-use needs of researchers, as well as generally fulfilling the vision of making research data more FAIR.This session occurred at the 2020 Earth Science Information Partners (ESIP) Summer Meeting held online in July 2020.
Improvement of the Multiple Image Encryption Capacity Using QR Code as a Data Container

An image encryption scheme based on the quick response (QR) code as a data container has aroused wide interest due to the lossless recovery of the decrypted image. In this paper, we apply this method to multi-image encryption. However, since the decrypted image is affected by crosstalk noise, the number of multi-image encryptions is severely limited. To solve this problem, we analyzed the performance of QR code as a data container, and processed the decrypted QR code using the proposed method, so that the number of multi-image encryptions is effectively increased. Finally, we implemented a large image (256 × 256) encryption and decryption.
Mapping the Topics and Evolutions of Chinese Children’s Bestsellers

Abstract Children’s books involve a large number of topics. Research on them has been paid much attention to by both scholars and practitioners. However, the existing achievements do not focus on China, which is the fastest growing market for children’s books in the world. Studies using quantitative analysis are low in number, especially on the intellectual structure, evolution patterns, and development trends of topics of children’s bestsellers in China. Dangdang.com , the biggest Chinese online bookstore, was chosen as a data source to obtain children’s bestsellers, and topic words in them were extracted from brief introductions. With the aid of co-occurrence theory and tools of social network analysis and visualization, the distribution, correlation structures, and evolution patterns of topics were revealed and visualized. This study shows that topics of Chinese children’s bestsellers are broad and relatively concentrated, but their distribution is unbalanced. There are four distinguished topic communities ( Living , Animal , World , and Child ) in terms of centrality and maturity, and they all establish their individual systems and tend to be mature. The evolution of these communities tends to be stable with powerful continuity.
Development of a Self-propelled Colonoscope by Using Pneumatic Soft Actuator

The purpose of this study is to develop the colonoscope which has an advancing mechanism and a bending mechanism at the tip. The advancing mechanism is composed of two balloons and a bellows. The bending mechanism is composed of a silicon tube and four wires, and is installed inside the bellows.
Optical Character Recognition with Geometric Attacks

Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image (for example: from a television broadcast). Widely used as a form of data entry from printed paper data records – whether passport documents, invoices, bank statements, computerized receipts, business cards, mail, printouts of static-data, or any suitable documentation – it is a common method of digitizing printed texts so that they can be electronically edited, searched, stored more compactly, displayed on-line, and used in machine processes such as cognitive computing, machine translation, (extracted) text-to-speech, key data and text mining. OCR is a field of research in pattern recognition, artificial intelligence and computer vision. In this paper, the efficiency of OCR is tested with different kinds of attacks.
Psychological aspects of the formation of vital competencies in children with special needs

This article covers the psychological aspects of the formation of life compensations in children with special needs. Information was given about the development of children with special needs, the attention and conditions given to them.
LibGuides: Topical - GOE Prep: Home

Seminary of the Southwest faculty-recommended resources to aid in answering GOE open resources questions.
Optimal measurement preserving qubit channels

Abstract We consider the problem of discriminating qubit states that are sent over a quantum channel and derive a necessary and sufficient condition for an optimal measurement to be preserved by the channel. We apply the result to the characterization of optimal measurement preserving (OMP) channels for a given qubit ensemble, e.g., a set of two states or a set of multiple qubit states with equal a priori probabilities. Conversely, we also characterize qubit ensembles for which a given channel is OMP, such as unitary and depolarization channels. Finally, we show how the sets of OMP channels for a given ensemble can be constructed.
Launcher for storage and launch of underwater vehicles on ice-class ships

Object and purpose of research. The object of the research is a launcher for storage and launch of underwater vehicles by ice-class ships in ice conditions. The purpose of the research is to develop a ship system for the underwater vehicles operation in ice.&#x0D; Materials and methods. This paper analyses underwater vehicle operations from ice-class ships in ice conditions and concludes that in ice conditions these vehicles are impossible to launch from the moving mothership. The study followed common methods of analysis, analogy and modeling.&#x0D; Main results. The design of a promising universal shipborne vertical submarine launcher for storage and launching of underwater vehicles, as well as the method of its accommodation aboard the ship, is described. Proposals for the components and accommodation of the launcher aboard an ice-class ship have been worked out. The main hydrodynamic problems associated with the vertical downward launching processes are considered.&#x0D; Conclusion. The results of the research can further used to work out a concept for a shipborne vertical submarine launcher for storing and launching UV and its placement on advanced ice-class ship.