Reviewerly/exHarmony huggingface dataset:
Accelerating Health Care Inference Using DL Boost

Need of healthcare resources for the emergency patients are huge and it is not met by the current healthcare technology, in most developing countries. Drawing inference for a healthcare model with their corresponding weights to the various parameters would bring many strategies to infer with the output of Model for the given input. This Inference Models have taken the weighted average of outputs of all the models. And by Using Artificial Intelligence with Machine Learning and Clinical expertise in the domain of Healthcare outperforms the existing Healthcare Systems. Intent extraction is done using various parameters and that enhances the assistive intelligence. The results are passed to the subsequent stages and that would help and improve the inference mechanisms. The clinical process guidelines in the corpus may be considered as one of the inputs and various healthcare parameters can be feature scaled and the resultant architecture provides a positive impact in healthcare systems decision making.
Social Network Analysis in Predictive Policing: Concepts, Models and Methods

Tayebi and Glässer's work offers new ideas from previous research with a multidisciplinary approach. The study was carried out with the collaboration of researchers, criminologists and law enforcement experts. The examples proposed by the authors of the book are based on a large database of actual crimes. The book presents not only the practical ideas, but also the theories of social network analysis at a basic level, which makes it easy to read.
The Role of Community Library Rumah Asa in Empowerment of Communities in Karangkajen Yogyakarta

Community Library is an institution that provides various types of learning materials needed by the community. TBM As a place for organizing the ability to read and learn, as well as a place to get information for the community. One of the TBMs carrying out these activities is Rumah Asa TBM. In addition to disseminating information, TBM Rumah Harapan also plays a role in community empowerment. This paper describes community empowerment carried out by Taman Bacaan Masyarakat. To obtain these data this paper uses a literature study in the form of conceptual studies. The role of TBM Rumah Asa in community empowerment includes hand skills for mothers, asakura shops, mukena asakura, and Eco.J print. Keywords: Community Library, Community Empowerment
Body-hacking: On the Relationship between People and Material Entities in the Practice of Technological Body Modifications

The text focuses on a critical reflection on research conducted among Czech bodyhack ers and, in general, on the possibilities and limitations of the conceptualization of the body, which is a product of technohuman interconnections, in socialscientific research.This issue logically directs me towards theoretical and conceptual foundations of symmetrical anthropology taking into account the role of nonhuman actors and the materiality of the world (based on the works of Bruno Latour, John Law, etc.) which constitute the core of the text.This study critically reflects upon the traditional foundations of social sciences that deal with an individual's subjective per spective when studying corporeality.This leads to a reproduction of the dichotomy of subject/ object and body/mind which are revealed as restrictive in the research of technological modifica tions and cybercorporeality in general and require a clear definition of the concepts of the "body" and "technologies" that are, however, limiting from the point of view of the lived experience of their users.The question arises of where the human body ends and technologies begin, whether the human body in its "natural" state has a certain integrity.This approach is demonstrated in the text on the case of Czech bodyhackers, the NFC chip users.
Classification on the Web: an analysis of Dewey Linked Data

With the availability of information in the World Wide Web its access and retrieval by the users is facilitated, and the Library and Information Science (LIS) field’s knowledge and techniques can be applied to this environment in order to help with the process. The present study is descriptive, qualitative and exploratory, based on bibliographical sources, in which it was explored how the Classification discipline interacts with Linked Data, focusing on the analysis of Dewey Linked Data. From four catalogs analyzed, referred to in the literature as adhering to Dewey Linked Data, only two actually has links in their records redirecting to the system. Despite this, its presence in The Linked Open Data Cloud appears as a positive factor in its dissemination, since it boosts its visibility. It is concluded that the Classification discipline allows the thematic standardization of information resources, so that there is uniformity in the Web environment and quality retrieval of information, while promoting interoperability between data in the Linked Data context. The standardization of metadata values using classifications optimizes the representation of information and its retrieval in the Web, while also providing the reuse of data. In addition, studies that align the area of Library and Information Science with the Semantic Web and its technologies can provide new perspectives for the area, as well as contemplate the users’ always changing needs, thus, fulfilling the objective of the field.
The TAGFACT annotator and editor: A versatile tool

The multifunctional tool this paper presents has been developed within the TAGFACT project, a project that aims to automate the annotation of factuality –understood as the degree of commitment with which the writer presents situations– in Spanish journalistic texts. In what follows, the tool, which allows the compilation of the texts and the manual annotation of predicates, is described. The corpus created using it has been extracted in groups of three pieces of news covering the same event from newspapers with different ideologies (left wing, right wing and centrist). It is made up of 176 different pieces of news, containing 1,359 sentences and 46,947 words. The tool has been used so far to manually annotate a section of the ‘Gold Standard’ (approximately 10,000 words). It has proved to be versatile in that it allows for both the creation and management of corpora and corpus annotation, using any tags the user wants depending on the purpose of each corpus.
LibGuides: Public Domain & Creative Common Images: Home

This guide explains how to find scholarly and creative work that can be reused in educational materials, theses, and the like. It also explains how to license one's own work for reuse.
Learning about Energy Consumption Habits of our Peers and Advocating for Installation of Solar Panels in Our School

Energy consumption has become an extremely prevalent problem in modern society. As the need for energy grows the impacts of that need begin to grow as well. My team surveyed students at Erindale Secondary School to inform ourselves on the usage of energy amongst high school students. The results from the study indicated that high school students use four to five hours of energy outside of school on weekdays, which is worrisome considering that students are at school for six hours a day. We found that over three hours per day are spent on computer by both boys and girls, and that boys spend more than 3 hours per day on game consoles. Considering that it would be harder for us to impact what our peers do at home, we decided to take action in our school. First, we wrote a letter to our school principal to request assessment of our school for installation of solar panels. The principal agreed to the idea. Then, we wrote a letter to Pure Energies asking the company if they would be interested in installing solar panels at our school. We received a reply from the Vice President informing us that his subcontractors have asked if they can help on this project. This was great news for us and we hope that our efforts will contribute to a more energy efficient school.
Creating a Unified Educational Environment for Training IT Specialists of Organizations of the JINR Member States in the Field of Cloud Technologies

Modern science heavy relies on the usage of information technologies (IT). It is important to organize knowledge transfer from IT specialists to non-IT and to less educated and/or skilled IT ones. Nowadays a speed of IT development (as well as achievements of the results these IT are used for) can be sufficiently increased by joining efforts and resources of cooperating organizations, which solve similar tasks. An important aspect of such cooperation is an experience exchange and knowledge transfer, which can be obtained by participating in conferences, seminars, workshops, master classes, etc. That article provides information on the activities around a cloud infrastructure created at the Laboratory of Information Technologies of the Joint Institute for Nuclear Research (JINR). It describes a purpose of its creation, implemented features, use-cases and training events it is used in. A relevance of the JINR and its Member State organizations clouds integration based on the DIRAC middleware is described too. Particular attention is paid to a process of knowledge transfer from JINR colleagues to fellows of other participating institutions through the organizing and holding of seminars, schools, conferences, round tables as well as semestrial training courses for students.
Unsupervised Cluster Matching for Content Model

People are generating huge amount of data which user need to store data in the storage devices.But storing the data in cloud is unsecure and people are storing the same data again and again.to avoid waste of storing the data again and again on same documents, we are going to use clustering the data documents for same documents and transform them into single language and store them.Whenever user need the document then it translate into user defined language and shows results to user.The application of document clustering can be categorized to two types, online and offline.Online applications are usually constrained by efficiency problems when compared to offline applications.Text clustering may be used for different tasks, such as grouping similar documents (news, tweets, etc.) and the analysis of customer/employee feedback, discovering meaningful implicit subjects across all documents.Documents can be clustered based on structure or content based meaning of the documents.In the existing system when documents are translated into user defined language documents are getting different meaning and it can convert into only two languages only.
The Influence of Full Day School Learning Methods on Student Motivation in Grade XI of SMA Negeri 1 Plemahan, Kediri with Emotional Intelligence as a Moderator Variable

In the teaching and learning process, motivation plays a huge role in learning achievement. Emotional Intelligence can also influence the learning achievement. The purpose of this research is to test and analyze the effect of full-day school learning methods on the learning motivation of class XI students of SMA Negeri 1 Plemahan, Kediri with emotional intelligence as a moderator variable. This research involved 160 respondents with quantitative approach methods. The data obtained will be analyzed using multiple linear analysis techniques. The result of this study indicates that there is an effect of full-day school learning methods on student motivation with a significance value of 0,000 &lt;0.10. Furthermore, the multiple linear regression analysis with emotional intelligence as a moderator variable showed that the emotional intelligence variable succeeded in moderating the effect of full-day school learning methods on student motivation with a significance value of 0.005 &lt;0.05.
Cognitive Analysis of Security Threats on Social Networking Services: Slovakia in need of stronger action

This short paper examines some of the ongoing research at the UMB Data and Society Lab hosted at the Faculty of Political Science and International Relations at Matej Bel University. It begins with an introduction on the necessity of security threat identification on social networking services (SNSs), done by states. The paper follows with a general overview of selected projects of the Lab in this field, and afterwards it introduces a use case study focused on the announcement of the UK snap general election 2017. The main aim of this paper is to demonstrate some of the possibilities of social networking services analysis in the field of international relations, with an emphasis on disinformation and the necessity of identifying novel digital actors in Slovakia. We also outline an easy custom system tasked to collect social media data, and afterwards process it using various cognitive analytic methods.
Safe Robot Navigation in Cluttered Environments using Invariant Ellipsoids and a Reference Governor

This paper considers the problem of safe autonomous navigation in unknown environments, relying on local obstacle sensing. We consider a control-affine nonlinear robot system subject to bounded input noise and rely on feedback linearization to determine ellipsoid output bounds on the closed-loop robot trajectory under stabilizing control. A virtual governor system is developed to adaptively track a desired navigation path, while relying on the robot trajectory bounds to slow down if safety is endangered and speed up otherwise. The main contribution is the derivation of theoretical guarantees for safe nonlinear system path-following control and its application to autonomous robot navigation in unknown environments.
Enhancing economic development via the increase of the quality of education

Sustainable economic development is one of the most important mission of economic policy. More analysis demonstrate that the key factor is the investment of human capital, which means a correlation between economic growth and quality of education. In this study we overview, how human capital and educational development effect to the economic growth, and how is it possible to quantify the results. We also get to know how the degree of development influenced by the quality of education.
What is an Access Control System? | Great Valley Lockshop

If your company has invested in an access control system, then you want to be sure you’re getting the best value out of it. When it comes to commercial ...
Adiabatic evolution on a spatial-photonic Ising machine

Combinatorial optimization problems are crucial for widespread applications but remain difficult to solve on a large scale with conventional hardware. Novel optical platforms, known as coherent or photonic Ising machines, are attracting considerable attention as accelerators on optimization tasks formulable as Ising models. Annealing is a well-known technique based on adiabatic evolution for finding optimal solutions in classical and quantum systems made by atoms, electrons, or photons. Although various Ising machines employ annealing in some form, adiabatic computing on optical settings has been only partially investigated. Here, we realize the adiabatic evolution of frustrated Ising models with 100 spins programmed by spatial light modulation. We use holographic and optical control to change the spin couplings adiabatically, and exploit experimental noise to explore the energy landscape. Annealing enhances the convergence to the Ising ground state and allows to find the problem solution with probability close to unity. Our results demonstrate a photonic scheme for combinatorial optimization in analogy with adiabatic quantum algorithms and enforced by optical vector-matrix multiplications and scalable photonic technology.
Song Creativity of the Yakut singer E. A. Zakharova

The study aims to present the heritage of the unique performer E. A. Zakharova as a singer and songwriter. The article reviews the story of her life and creative work in collaboration with the first Yakut composer M. N. Zhirkov. Two repertoire lists classifying different approaches to E. A. Zakharova’s body of work are compiled: the first one contains titles of her melodies, the second one is an additional list concerning the young soloist’s repertoire of different genres. The study is novel in that it revises the list of melodies written by E. A. Zakharova. The attained results will allow further analysis of her songs’ tune, intonational and rhythmical features.
DIGITAL LITERACY AS A BASIS FOR THE DEVELOPMENT OF THE LABOR MARKET IN RUSSIA

The article is devoted to analysis of the compliance level of digital literacy of the modern state of development of digital technologies and promising trends in the global and domestic labour market. The relevance of the chosen problem is explained by the fact that the achieved level of digital literacy of the population does not always correspond to the level of development of modern information and communication technologies. This situation generates serious conflicts in the system of relations "man-digital technology", reducing the overall productivity and efficiency of modern technologies. The article provides a meaningful analysis of the current state and existing problems in achieving the required level of digital literacy by employees of domestic and foreign companies. On the basis of the results obtained, the main reasons that influenced the current state of Affairs were determined. New trends of the labor market, formed as a response to the increasingly active penetration of the digital economy in the socio-economic sphere of society, are noted. The main problems in the educational sphere that negatively affect the insufficient level of digital literacy of the country's population are identified.
Two Dimensions for Organizing Immersive Analytics: Toward a Taxonomy for Facet and Position

As immersive analytics continues to grow as a discipline,so too should its underlying methodological support. Taxonomies play an important role for information visualization and human computer interaction. They provide an organization of the techniques used in a particular domain that better enable researchers to describe their work, discover existing methods, and identify gaps in the literature. Existing taxonomies in related fields do not capture or describe the unique paradigms employed in immersive analytics. We conceptualize a taxonomy that organizes immersive analytics according to two dimensions: spatial and visual presentation. Each intersection of this taxonomy represents a unique design paradigm which, when thoroughly explored, can aid in the design and research of new immersive analytic applications.
Study on Dynamic Prediction Model of Small Reservoir Safety Risk

Abstract This paper comprehensively uses multi-source data such as small reservoir operation management information and mountain flood disaster investigation information to transform the disaster risk prediction of small reservoirs into disaster risk assessment of easy-to-observe indicators. On this basis, combined with the data of mountain flood investigation and reservoir operation management data, through the expert consultation method, the disaster risk state transition matrix and the disaster risk output matrix are studied and established to construct the Hidden Markov Model of mountain flood disaster risk prediction. Finally, combined with a reservoir in Zhejiang Province, the hidden Markov model constructed in this paper is verified. The verification results show that the model constructed in this paper is feasible and can effectively ze the dynamic prediction of small reservoir safety risks. The research results of this paper lay the foundation for perfecting the safety risk management theory of small reservoirs and realize the dynamic prediction of small reservoir safety risks.
｢한국교회사학회지｣에 나타난 고대교회역사 연구 동향과 전망

On the occasion of the 50th anniversary of the Church History Society of Korea, it is a great honor for me to analyze and evaluate the articles on Early Christianity in our JCHSK since 1979. I examine those 77 articles on the early church through four categories, historical viewpoints, themes, methodologies, and authors. Finally, I suggest a plan for improving future academic and pastoral contributions, both to the church and to society. The new trends of research in church history are “from below.” The perspectives of the alienated or marginalized classes, genders and races has been promoted as the central theme of historical study. Provocative achievements have, of course, also resulted from research done in traditional methods and themes. Along with the postmodernist thoughts, more practical issues for the church such as spirituality, Christian education, worship and liturgy are also linked with historical theories. To promote the advancement of academic research in the Church History Society of Korea, I believe it is important that we develop interdisciplinary programs. Incorporating modern perspectives on theology and history into educational materials as well as products for the daily practices of the church will enable all Christians to be more effective communicators of the Gospel for all those we serve.
Improving Diarization Robustness using Diversification, Randomization and the DOVER Algorithm

Speaker diarization based on bottom-up clustering of speech segments by acoustic similarity is often highly sensitive to the choice of hyperparameters, such as the initial number of clusters and feature weighting. Optimizing these hyperparameters is difficult and often not robust across different data sets. We recently proposed the DOVER algorithm for combining multiple diarization hypotheses by voting. Here we propose to mitigate the robustness problem in diarization by using DOVER to average across different parameter choices. We also investigate the combination of diverse outputs obtained by following different merge choices pseudo-randomly in the course of clustering, thereby mitigating the greediness of best-first clustering. We show on two conference meeting data sets drawn from NIST evaluations that the proposed methods indeed yield more robust, and in several cases overall improved, results.
The Concept of Education for Santri NU Collaborate with Ideas and Muhamadiyah in Spreading Peace

Education is a vital factor in influencing personality.On the issue of radicalism, education is the main factor that causes a person can be exposed to radicalism.Radicalism in the world of education is usually caused by very poor understanding of religion.So easy to understand the radical cause.This understanding is usually the most developed among the students.Additionally, a figure which is expected to become an actor Peace keeping namely students.However, for now the concept of students was adopted by the group.Through the issue, Indonesia needs a figure who can balance out the problems of this radicalism.The aim of this study was sparked concept initiated learning for students as actors of peace among young people.Akann research results obtained are: the similarity of the learning concept boarding NU and Muhammadiyah, Muhammadiyah and NU accepted the idea of Islamic moderation, the concept of students whose learning is integrated with the idea of NU and Muhammadiyah.Empirically method used is qualitative method.This method uses a historical approach that is focused on the data mengkomparas past and present.The data used are primary and secondary.
PMA LibGuides: PMA Collections Research: Searching Marcel

Recommended steps to help you search for information about objects in the Museum’s permanent collection.