Reviewerly/exHarmony huggingface dataset:
Modular Semantically Integrated System Modelling

Abstract In current practice, we engineer systems using modular, composable components. However, when we model systems in languages such as SysML, we build a single model of the entire deliverable system (such as a radio telescope). Though the model is of course hierarchical, consisting of multiple levels of description, these are not quite independent models that can be composed modularly. For example, if we acquire a power supply off‐the‐shelf, ideally we would like the supplier to provide us a model of the power supply that can be integrated into our overall system model, reflecting the same concerns involved in integrating the power supply into our solutions. If we have distributed teams, can they create separate models that are composable? Can model integration be the early version of system integration? This paper discusses how modelling can support modular composability using roles : placeholders for other entities that the entity being modelled depends on in order to deliver its targeted behaviour. All the necessary assumptions relating to the role are captured as role profiles . Model composition then involves binding these context roles to models of actual concrete entities that fit the assumptions. Our paper presents an illustrative example of compositional modelling of a radio telescope, and discusses some of the issues involved in binding. It goes further to indicate how these system models can be linked to relevant domain knowledge frames , and also linked to observations of the system behaviour. The result is a SystemMap: modular, composable knowledge‐centric models that enable capture of all the information and knowledge relating to a system, linked by a network of semantic relationships that enable internal consistency checking, as well as model and knowledge refinement based on consistency with observed real‐world behaviours.
Sulfide mineralization of phoscorites and carbonatites of the guli massif (Polar Siberia) and potential of these rocks on noble metals

A first complex investigation of mineral forms of Au and Ag and distribution of noble metals in sulfide-containing phoscorites and carbonatites, their magnetite and sulfide concentrates of alkaline ultrabasic massif Guli (Polar Siberia) was made by neutron activation method, XRF and microprobe analyses. Sulfide concentrates of carbonatites are enriched with Pt up to 2.93, Au up to 61.6 and Ag up to 3.61 (ppm).&#x0D; The main sulfides are pyrrhotite, djerfisherite, chalcopyrite and pyrite. Silver is accumulated in the late chalcopyrite, Ag- djerfisherite, later ― lenaite, sternbergite or argentopyrite and native silver. Wide dissemination of djerfisherite in phoscorites and carbonatites and defined inclusions of rasvumite, K-Na-Ca carbonates, carbocernaite and strontianite in pyrrhotite, is the evidence of of high activity of K, Na, Sr, LREE, F, Cl and S during the sulfides crystallization. Chlorine has a high capacity for the formation of chlorine-silver complexes and is probably an agent for the transfer of noble metals in carbonatites.&#x0D; The comparison of surveyed associations with published experimental data shows that formation of sulfides starts at the temperature no lower than 500С (early pyrrhotite) and lasts till 150C (argentopyrite). The late carbonatite assemblages may can be enriched with Au and Ag and be a potential source of formation of alluvial gold.
Peningkatan Motivasi dan Keterampilan Menulis Eksplanasi dengan Menggunakan Metode Peer Teaching

Abstract: Writing is a skill about pouring an idea or concept in form of write (written). The research conducted in the XI TKR 4 class off SMK NU Ma'arif Kudus showed that the value of the student writing skill is still low. This research purpose is to raise a writing skills by using the peer teaching method. This research was conducted from April to March. The subjects in this study were teachers and students of class XI TKR 4 of SMK NU Ma'arif Kudus. Data in the form of photos, videos, lesson plans, test results, lists of values, notes on interview results and field notes. Data sources include: informants, places and events, and documents. The validity of the data uses triangulation method and triangulation data source. Data analysis techniques use critical analysis techniques and comparative descriptive techniques. Indicator of achievement is 80%. Research procedures consist of planning, implementing actions, and reporting. In cycle I their learning motivation was in the moderate category, namely 53,12%, in cycle II it was in the high category, namely 78,12. The attainment of explanation writing competence in cycle I 68,75% of the students attained the MMC, in cycle II 90,62% of the students attained the MMC. The results of the study showed that the application of the peer teaching method was able to improve the explanatory writing skills of students in class XI TKR 4 SMK NU Ma'arif Kudus.
Advanced Fuzzy Networks

This chapter looks at some of the advanced Fuzzy Networks. Figure 7-1 shows a classic Neuro Fuzzy System. But before you get too far, it’s important to know some of the core components that are used in building these systems. This chapter starts by discussing the Fuzzy Clustering method. Then it moves on to genetic algorithms and wraps up by reviewing the most commonly used architectures belonging to the domain of advanced Fuzzy Networks.
Toward a Wearable Data Assimilation Platform

Data assimilation (DA) refers to a family of methods used to synchronize a dynamical model to sparse or noisy measurements of model states. In this paper, we propose a wearable DA platform for neurological research and report our progress in translating a DA computational framework from desktop computation to embedded computation. The unscented Kalman filter (UKF) and a neural mass model (NMM) for sleep-wake regulation are introduced. Next, selection of suitable UKF parameters through MATLAB simulations is described. Finally, four variations of the DA framework are run on an embedded microprocessor in order to find the variation that minimizes computation time while maintaining state reconstruction accuracy. By reducing computational precision of the equation integrator and using a piecewise-linear approximation in place of the tanh function, we increased computational speed by a factor of 3.6 while maintaining a high level of state reconstruction fidelity.
GenMuse: An Evolutionary Creativity Enhancement Tool

Creativity is often defined as the creation of something novel through the use of imagination. But for all artists, creativity is also the exploration of new and unknown areas within their specific art. Is it possible to stimulate creativity through a system that creates inspiring original music, and that is also able to learn the personal tastes of its user? Within the project, an evolutionary approach was used in an attempt to stimulate musical creativity by supplying a composer with software that can compose short musical patterns called riffs. The software, called GenMuse, evolves populations of riffs, and makes use of a feed-forward artificial neural network to learn how to autonomously evaluate the evolved riffs to satisfy the tastes of the composer. The results show that the approach is worthy of further investigation. The genetic algorithm produced interesting results that, according to our evaluation parameters, could be included “as is” in a musical composition, and the neural network was able to evaluate the riffs with a good success ratio.
PERPUSTAKAAN BERBASIS INKLUSI SOSIAL UNTUK PEMBANGUNAN SOSIAL-EKONOMI MASYARAKAT

National development which culminates in the welfare of society must be supported by activities that can accelerate the socio-economic development. Socio-economic development and education and literacy development are, in fact, two interrelated variables and closely connected to improve the human life and community welfare. By accelerating the two developments, the government hopes to stop poverty. Library as an institution fostering literary community should face the challenge with improvements in order to quickly achieve the goal of the national development. Library should be able to focus its activities and programs on social inclusion-based services. The transformation of social inclusion-based library services is an approach by library focused on services committed to increasing the level of the community welfare.
An Improved Strategy of the Feature Selection Algorithm for the Text Categorization

feature selection is a very important role in text classification. In this paper, a new idea is put forward, that is, the feature contribution degree to each category of text data set is taken into account in the feature selection and dimension reduction stage of text preprocessing, and then the features obtained by feature selection algorithm are further analyzed and filtered. In the end, the number of features that represent each category of the data set is identical. In this paper, a Naive Bayes classifier is used to verify this idea on three benchmark datasets: 20-newgroups, Reuters and WebKB. The experimental results show that the proposed method can effectively improve the accuracy of text classification.
Use of thesauruses for search of complex information objects on Web on the basis of ontologies

An ontological model of interaction between objects and subjects of the Web semantic search is proposed, its basic elements are characterized, methods for its replenishment and use for filtering information that is pertinent  to the personalized needs of users are considered. The types of relations between the instances and classes of this model and their characteristics that can have an influence on the time complexity of processing knowledge presented on the basis of this model, are analyzed. One of the important elements of the proposed model are thesauri that represent  knowledge regarding tasks for which users are looking for information, and about information resources where such information can be contained. The expediency of using particular cases of ontology – thesauruses – to find semantically similar information objects is substantiated. The types of thesauruses that are used for semantic search are considered, methods for their replenishment and utilization are proposed, and their characteristics are analyzed. In this paper we proposes an algorithm for the automated construction of simple thesaurus, which is formed on the base of the domain ontology  and a natural language description of the user’s problem, and methods for generating composite thesauri that are pertinent to new user tasks which are based on the set of simple thesauruses previously built by user. The expressiveness and computational complexity of the proposed methods which depend on the domain ontology characteristics and on the size of the problem description are estimated. Methods of use of the semantically marked Wiki resources as a source of knowledge for constructing ontologies of subject areas and associated typical information objects are considered. Problems in programming 2019; 4: 28-52
Rating and Comments Mining Using TF-IDF and SO-PMI for Improved Priority Ratings

Data mining technology is frequently used in identifying the intention of users over a variety of information contexts.Since relevant terms are mainly hidden in text data, it is necessary to extract them.Quantification is required in order to interpret user preference in association with other structured data.This paper proposes rating and comments mining to identify user priority and obtain improved ratings.Structured data (location and rating) and unstructured data (comments) are collected and priority is derived by analyzing statistics and employing TF-IDF.In addition, the improved ratings are generated by applying priority categories based on materialized ratings through Sentiment-Oriented Point-wise Mutual Information (SO-PMI)-based emotion analysis.In this paper, an experiment was carried out by collecting ratings and comments on "place" and by applying them.We confirmed that the proposed mining method is 1.2 times better than the conventional methods that do not reflect priorities and that the performance is improved to almost 2 times when the number to be predicted is small.
Fast Hashing to $${\mathbb {G}}_{2}$$ on Aurifeuillean Pairing-Friendly Elliptic Curves

In pairing-based cryptography, the computation of asymmetric pairings $$e: {\mathbb {G}}_{1}\times {\mathbb {G}}_{2}\longrightarrow {\mathbb {G}}_{T}$$ requires input points of prime order r. The process of getting those r-torsion point is known as hashing into $${\mathbb {G}}_{1}$$ or $${\mathbb {G}}_{2}$$ and is in general costly. Few recent works have considered the Scott et al.’s method and Fuentes et al.’s method for hashing on specific families of pairing-friendly curves. In this work, we apply those two methods on the recently discovered Scott–Guillevic Aurifeuillean curves with embedding degree $$k=6,9,15,18,27$$ and 54. The results obtained show that the Fuentes et al.’s method is at least twice faster than the Scott et al.’s method in terms of group operations. In addition, the computational cost of hashing into $${\mathbb {G}}_{2}$$ studied in this work is higher compared to the previous work done with BN curves, KSS curves and BLS curves at comparable embedding degrees.
Communicating hazards—A social science review to meet U.S. Geological Survey needs

First posted January 23, 2020 For additional information, contact: Office of Associate Director, Natural HazardsU.S. Geological Survey12201 Sunrise Valley DriveReston, VA 20192 This report is for U.S. Geological Survey (USGS)—and any other—hazard scientists who want to improve the understanding and use of their scientific information, particularly by non-experts. In order for people to use science, they need to understand it. The highly technical, specialized nature of scientific information makes that difficult, particularly when few scientists are trained to communicate with people outside their fields. These issues are of special importance to the USGS because it has many users who are not scientists and because it develops and applies hazard science to help protect the safety, security, and economic well-being of our Nation.In 2010, the Science Application for Risk Reduction group at the USGS discovered the Center for Research on Environmental Decisions (CRED) guide, “The Psychology of Climate Change Communication.” Ever since, a growing number of USGS staff who need to communicate about hazards have used that guide and have asked CRED for a companion report dedicated to hazard communication to harness knowledge from more than 50 years of social science research.In 2016, the USGS and CRED launched a collaboration to develop that companion report. Ultimately, a CRED hazard communication guide would be a Columbia University publication with a wide focus and would include many hazards that are outside the USGS purview. This report is a first step and concentrates strictly on hazard communication needs at the USGS.To identify those needs and tailor this effort to USGS hazard communication priorities, this collaboration began with telephone interviews and an online survey of USGS staff. This report is the result; it summarizes social science research and experience in the areas of hazard communication that USGS participants deemed most important to include.
An Empirical Evidence of Geometers’ Sketchpad Acceptance

The integration of educational technology such as geometer’s sketchpad into school curriculum has been seen as a means in supporting teaching and learning innovation. However, the potential gains are not fully realized from the use of geometer’s sketchpad due to some lack of acceptance. To examine the factors influencing the intention of secondary teachers to use geometer’s sketchpad in their mathematics education, this study developed the research model using the constructs derived from Unified Theory of Acceptance and the Use of Technology (UTAUT). Based on the data gathered from teachers in secondary schools in Selangor and analysed using partial least square approach, it was found that infrastructure support and system quality affect teachers’ intention to use geometer’s sketchpad. Thus, infrastructure support and system quality should be enhanced to sustain use of geometer’s sketchpad.
A quantitative probe into the hierarchical structure of written Chinese

Language unit is a fundamental conception in modern linguistics, but the boundaries are not clear between language levels both in the past and present.As language is a multi-level system, quantification rather than microscopic grammatical analysis should be used to investigate into this question.In this paper, Menzerath-Altmann law is used to make out the basic language units in written Chinese.The results show that "stroke > component > word > clause > sentence" is the hierarchical structure of written Chinese.
A Hybrid Bayesian Network Based Method to Assess and Predict Electrical Power Network Reliability

Along with the development of the supervisory control and data acquisition system, electrical power network breakdown maintenance and support become more difficult. Several models were developed to solve the problems in electrical power networks reliability. The paper adopts a hybrid Bayesian network model, defines the failure rate of different fault of switches, models the switches which have a dynamic behavior by Dynamic Bayesian Network (DBN), and give some flexibility in the framework of data analysis. The research is valuable for predicting the behavior of the electrical power network automatically and improving the availability of the power and the decision making environment.
From Meow to ROAR: Expanding Open Access Repository Services at the University of Houston Libraries

INTRODUCTION The rapidly changing scholarly communication ecosystem is placing a growing premium on research data and scholarship that is openly available. It also places a growing pressure on universities and research organizations to expand their publishing infrastructures and related services. DESCRIPTION OF PROGRAM To embrace the change and meet local demands, University of Houston (UH) Libraries formed a cross-departmental open access implementation team in 2017 to expand our open access repository services to accommodate a broad range of research products beyond electronic theses and dissertations (ETDs). The result of this effort was the Cougar Research Open Access Repositories (Cougar ROAR), a rebranded and expanded portal to the UH Institutional Repository, and the UH Dataverse, which disseminates the full range of scholarly outputs generated at the University of Houston. This article describes the team’s phased activities, including internal preparation, a campus pilot, rebranding, and a robust outreach program. It also details the team’s specific tasks, such as building the Cougar ROAR portal, developing ROAR policies and guidelines, enhancing institutional repository functionality, conducting campus promotional activities, and piloting and scaling a campus-wide open access program. NEXT STEPS Based on the pilot project findings and the resulting recommendations, the team outlined key next steps for sustainability of the UH Libraries’ open access services: continuation of the campus CV service, establishment of campus-wide OA policy, further promotion of Cougar ROAR and assessment of OA programs and services, and investment in long-term storage and preservation of scholarly output in Cougar ROAR.
ESPI Images Denoising Based on Improved Total Variation

Image denoising is a key step for image processing. The real electronic speckle pattern interference (ESPI) fringe pattern contains massive speckle noise, which can affect the image quality. To solve the problem of staircase effect and reduce the speckle noise, a new method for ESPI image denoising, which is an improved adaptive total variation (TV) denoising method based on the block-matching and 3D filtering (BM3D) algorithm, is proposed. This method combines the advantages of BM3D denoising method and adaptive TV elimination staircase effect. The image which has been smoothed by the BM3D as the new fidelity item is used and combined with the adaptive total variation denoising model to denoise the electronic speckle interference fringe pattern. Experiment results show that the proposed method has better noise filtering effect and the structure of the speckle fringe pattern is well maintained. Thus the appearance of the staircase effect can be reduced and the details, texture and edge information of the image can be preserved at a large level.
Exploratory analysis on dictated handwriting samples

Dictated handwriting samples are widely used in practice due to their simplicity, convenience, and practicality. However, dictation is typically listed as one of the many collection methods in textbooks and monographs, and there is usually no separate section focusing on dictated handwriting samples. Therefore, further study of dictated handwriting samples will have important practical significance. Consideration of the definition, existing problems, collection techniques, and critical aspects of dictated handwriting samples will support investigators and document examiners in their professional abilities and contribute to the theoretical system of document examination. In this article, an exploratory analysis will be conducted and ideas about dictated handwriting samples will be shared, including the definition of dictated samples, their relationship to experimental samples, practical problems, feasible collection methods, and some critical points that require special attention. Dictation is widely used but problematic because of a lack of quantity and low levels of comparability. Those difficulties are mainly caused by a lack of theoretical study and understanding of the requirements and collection techniques of dictated handwriting samples among first-line investigators. Dictated samples should be collected based on subjective and objective conditions of formation with aims to improve comparability and five similarities. Further studies are needed to improve the theoretical system and practical use of dictated samples so that they can contribute to successfully reaching conclusions in investigations.
Lying in an age of digital capitalism

Now may be a very good time to be liar. In public, lies appear to be exposed almost as a matter of course, but liars rarely seem to face any consequences; hidden from view, authors of material on m...
Natural Language Generation at Scale: A Case Study for Open Domain Question Answering

Current approaches to Natural Language Generation (NLG) for dialog mainly focus on domain-specific, task-oriented applications (e.g.restaurant booking) using limited ontologies (up to 20 slot types), usually without considering the previous conversation context.Furthermore, these approaches require large amounts of data for each domain, and do not benefit from examples that may be available for other domains.This work explores the feasibility of applying statistical NLG to scenarios requiring larger ontologies, such as multidomain dialog applications or open-domain question answering (QA) based on knowledge graphs.We model NLG through an Encoder-Decoder framework using a large dataset of interactions between real-world users and a conversational agent for open-domain QA.First, we investigate the impact of increasing the number of slot types on the generation quality and experiment with different partitions of the QA data with progressively larger ontologies (up to 369 slot types).Second, we perform multi-task learning experiments between open-domain QA and task-oriented dialog, and benchmark our model on a popular NLG dataset.Moreover, we experiment with using the conversational context as an additional input to improve response generation quality.Our experiments show the feasibility of learning statistical NLG models for opendomain QA with larger ontologies.