Reviewerly/exHarmony huggingface dataset:
Trace metal content prediction along an AMD (acid mine drainage)-contaminated stream draining a coal mine using VNIR–SWIR spectroscopy

Abstract The current study investigated the use of VNIR–SWIR (visible/near infrared to short-wavelength infrared: 400–2500 nm) spectroscopy for predicting trace metals in overbank sediments collected in the study site. Here, we (i) derived spectral absorption feature parameters (SAFPs) from measured ground spectra for correlation with trace metal (Pb, Cd, As, and Cu) contents in overbank sediments, (ii) built univariate regression models to predict trace metal concentrations using the SAFPs, and (iii) evaluated the predictive capacities of the regression models. The derived SAFPs associated with goethite in overbank sediments were Depth433 b , Asym433 b , and Width433 b , and those associated with kaolinite in overbank sediments were Depth1366 b , Asym1366 b , Width1366 b , Depth2208 b , Asym2208 b , and Width2208 b . Cadmium in the overbank sediments showed the strongest correlations with the goethite-related SAFPs, whereas Pb, As, and Cu showed strong correlations with goethite- and kaolinite-related SAFPs. The best predictive models were obtained for Cu (R 2 = 0.73, SEE = 0.15) and Pb (R 2 = 0.73, SEE = 0.21), while weaker models were obtained for As (R 2 = 0.46, SEE = 0.31) and Cd (R 2 = 0.17, SEE = 0.81). The results suggest that trace metals can be predicted indirectly using the SAFPs associated with goethite and kaolinite. This is an important benefit of VNIR–SWIR spectroscopy considering the difficulty in analyzing “trace” metal concentrations, on large scales, using conventional geochemical methods.
O vínculo entre profissional de saúde e pessoas com transtornos alimentares

The paper aims to contribute to the understanding of the interpersonal relationship between professionals and people with eating disorders, through the report of a case study with a participant of seven focus group interviews, conducted according to the methods of psychodrama, based on themes chosen from the SATIS-BR scale. From the results it was possible to state that the participant demonstrated undeniable development in spontaneity expressed in her awareness of the inadequate representations that were blocking her in crystallized roles and tense links with professionals, which illustrates the cultural conserve in which she was held captive.
Best-Fit Action-Cost Domain Model Acquisition and Its Application to Authorship in Interactive Narrative

Domain model acquisition is the problem of learning the structure of a state-transition system from some input data, typically example transition sequences. Recent work has shown that it is possible to learn action costs of PDDL models, given the overall costs of individual plans. In this work we have explored the extension of these ideas to narrative planning where cost can represent a variety of features (e.g. tension or relationship strength) and where exact solutions don’t exist. Hence in this paper we generalise earlier results to show that when an exact solution does not exist, a best-fit costing can be generated. This approach is of particular interest in the context of plan-based narrative generation where the input cost functions are based on subjective input. In order to demonstrate the effectiveness of the approach, we have learnt models of narratives using subjective measures of narrative tension. These were obtained with narratives (presented as video in this case) that were encoded as action traces, and then scored for subjective narrative tension by viewers. This provided a collection of input plan traces for our domain model acquisition system to learn a best-fit model. Using this learnt model we demonstrate how it can be used to generate new narratives that fit different target levels of tension.
Tinjauan Analisis Wacana Kritis pada Struktur Teks Anekdot Hasil Siswa Kelas X Berdasarkan Gender di SMKN 2 Kota Bandung Tahun Pembelajaran 2015 – 2016

The ability of students in making the text structure anecdotes from the point of Critical Discourse Analysis is used as the indicator is a textual dimension that includes cohesion, coherence, grammar and diction. Of the four elements are used as indicators votes captioning anecdotes on students by gender (male and female) can be seen to have capabilities that differences in instructional text anecdotes, the results obtained from the elements of cohesion in the text of anecdotes students generally use the pronouns I and you , because the contents of anecdote is also a dialogue, then it is reasonable person pronouns to one and two are used. Then the word coherence is mentioned and as well as that, the students are already familiar with the conjunctive, while conjunctive other less popular in the eyes of the students, it shows the weakness of students in a variety of making sentences. For terms of grammar seemed once differences in the ability of students men and women, women tend to be scrupulous in making sentences, sentences that made many are forming complex sentences, while boys tend to be careless in making sentences made more simplex. Diction of elements also seen male language more logical than women, as if women visible element of feeling that comes in, it looks at all the different characteristics of students by gender (male and female) in making the text anecdotes. Especially of proficiency.
Neural Networks and Deep Learning

This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statistical framework it covers a selection of supervised machine learning methods, from the most fundamental (k-NN, decision trees, linear and logistic regression) to more advanced methods (deep neural networks, support vector machines, Gaussian processes, random forests and boosting), plus commonly-used unsupervised methods (generative modeling, k-means, PCA, autoencoders and generative adversarial networks). Careful explanations and pseudo-code are presented for all methods. The authors maintain a focus on the fundamentals by drawing connections between methods and discussing general concepts such as loss functions, maximum likelihood, the bias-variance decomposition, ensemble averaging, kernels and the Bayesian approach along with generally useful tools such as regularization, cross validation, evaluation metrics and optimization methods. The final chapters offer practical advice for solving real-world supervised machine learning problems and on ethical aspects of modern machine learning.
Terminology Matters: About Labeling Used in the User Interfaces of Home Networking Devices

This paper presents the results of a terminology survey on home networking. The results of this study show that all of the major brands of home networking appliances use complex terminology in their user interfaces and that a very small percentage of people know the meaning of these terms.
Revitalizing Face-to-Face Local Gaming Experience through Mobile Mini Games

with the increase of mobile device usage around the globe, face-to-face communication has degraded and complete prohibition is not realistic. The degradation is not to be prevented as it happens as a side effect of technology. However, balancing usage of mobile device and quality of face-to-face communication is possible. Thus, by approaching users through developing a party genre mobile game, which is not famous as a mobile game at the time, with local multiplayer focus and introducing the given game to users, it is expected that face-to-face communication can be encouraged, thus resulting in mobile party game to become a media for the encouragement. Sample mini game that is a part of party game is developed with the help of Unity game engine as a testing object in which user response is collected. As application testing take place, and target user response is collected, face-toface encouragement is proven and user response is positive towards the game. Sample game testing has effectively reintroduced the existence of nowadays rare party game in mobile platform along with encouraging face-to-face communication, shown by the enthusiasm and enjoyment that audience testers have experienced. In the end, with mobile party game can help by being a media to encourage face-to-face communication and prevent degradation of such communication, future developments of a complete party game in mobile platform is highly encouraged as overall face-to-face communication quality enhancement may be required in the future in order to mitigate degradation.
Reading Through Paint

Two-dimensional data matrix symbols, which contain encoded letters and numbers, are permanently etched on items for identification. They can store up to 100 times more information than traditional bar codes. While the symbols provide several advantages over bar codes, once they are covered by paint they can no longer be read by optical scanners. Since most products are painted eventually, this presents a problem for industries relying on the symbols for identification and tracking. In 1987, NASA s Marshall Space Flight Center began studying direct parts marking with matrix symbols in order to track millions of Space Shuttle parts. Advances in the technology proved that by incorporating magnetic properties into the paints, inks, and pastes used to apply the matrix symbols, the codes could be read by a magnetic scanner even after being covered with paint or other coatings. NASA received a patent for such a scanner in 1998, but the system it used for development was not portable and was too costly. A prototype was needed as a lead-in to a production model. In the summer of 2000, NASA began seeking companies to build a hand-held scanner that would detect the Read Through Paint data matrix identification marks containing magnetic materials through coatings.
Interactive Multimedia Intelligent Tutoring System (Imits) : A Progress Report

The Interactive Multimedia Intelligent Tutoring System (IMITS) is an intelligent tutoring system that is focussed on the instruction of undergraduate electrical engineering students.The material covered is that typically presented in courses on introductory circuits.At present, it consists of three modules: DC, AC and Transient Analysis.IMITS is intended as a course supplement.While there is a substantial amount of multimedia material and interactions, the software package is intended as a tutor, providing extra help for a student taking a face-toface, on-line, or self-directed course.As the student progresses through the material, the expert system that is embedded in the software will watch and analyze the student's activities.By doing this, it is able to determine the student's strengths and weaknesses and determine what material should be presented in what order.The IMITS software environment has been under development for three years.It has recently been sent to several colleges and universities throughout the country for testing and evaluation.This paper discusses the present state of IMITS.
Research & Subject Guides: Scholarly Communications Services for Researchers: Home

Supporting the creation, evaluation, dissemination, and preservation of the University's scholarly output
Software Engineering Program: Software Process Improvement Guidebook

The purpose of this document is to provide experience-based guidance in implementing a software process improvement program in any NASA software development or maintenance community. This guidebook details how to define, operate, and implement a working software process improvement program. It describes the concept of the software process improvement program and its basic organizational components. It then describes the structure, organization, and operation of the software process improvement program, illustrating all these concepts with specific NASA examples. The information presented in the document is derived from the experiences of several NASA software organizations, including the SEL, the SEAL, and the SORCE. Their experiences reflect many of the elements of software process improvement within NASA. This guidebook presents lessons learned in a form usable by anyone considering establishing a software process improvement program within his or her own environment. This guidebook attempts to balance general and detailed information. It provides material general enough to be usable by NASA organizations whose characteristics do not directly match those of the sources of the information and models presented herein. It also keeps the ideas sufficiently close to the sources of the practical experiences that have generated the models and information.
Forecasting Weather with a Wave of the Hand

Building upon its successful collaboration with NASA, Cybernet introduced GestureStorm(TradeMark), a weather map management system that utilizes both body tracking and gesture recognition technology for televised weather reports. The GestureStorm software interface enables meteorologists to control the computerized visual effects on weather maps using hand gestures and body movements. Prior to this, meteorologists prepared scripted on-air reports to coincide with the timing of graphics on the computerized maps. They knew when and where weather and Doppler radar maps would appear on the monitor, but could not react in real time. Cybernet s new product frees forecasters from a script, enabling them to directly interact with the weather picture in real time, significantly reducing the preparation time for the broadcast. With this technology, meteorologists control the pace of the visuals and can incorporate spontaneous close-ups with simple hand movements. In cases of severe weather, meteorologists strive to report new information as quickly as possible. GestureStorm gives forecasters an edge as they track late-breaking storms. The reduced preparation and real-time interaction shave critical minutes from the time required to broadcast severe weather warnings.
Generic POCC architecture: Revised recommended refinements and object-oriented interfaces

This document is a sequel to the report entitled Generic POCC Architectures, dated April 5, 1989, prepared by CTA under Contract NAS5-31500, Task 28-11600. That document presented a generic architecture based upon current technology, and a series of three refinements based on object-oriented analysis principles and expectations for POCC evolution. The current document revisits the object-oriented analysis of POCC's. We have reassessed the functional groupings that best adhere to object-oriented principles and have revised the recommended architecture accordingly. We present an updated view of the recommended generic POCC architecture using the same graphical models as the previous document: entity-relationship diagrams, dataflow diagrams, and composition graphs. In addition, we present another view in the form of entity-interface diagrams (EID's). EID's may be viewed as a precursor to object diagrams which are the basic construct of the general object-oriented design (GOOD) methodology. The entity-interface diagrams, together with their textual annotations, constitute our specification of object-oriented interfaces in the generic architecture.
Earth Resources: a Continuing Bibliography with Indexes (Issue 63)

This bibliography lists 449 reports, articles, and other documents introduced into the NASA scientific and technical information system between July 1 and September 31, 1989. Emphasis is placed on the use of remote sensing and geophysical instrumentation in spacecraft and aircraft to survey and inventory natural resources and urban areas. Subject matter is grouped according to agriculture and forestry, environmental changes and cultural resources, geodesy and cartography, geology and mineral resources, oceanography and marine resources, hydrology and water management, data processing and distribution systems, and instrumentation and sensors.
Solar Energy Reporting

Last year the people of Cleveland, Ohio were troubled by natural gas shortages during one of the coldest winters on record. The severe winter generated a great deal of interest in solar energy as an alternative source of heat. Home owners, home builders and civic officials wanted to know just how much solar energy is available in Cleveland. Now they get a daily report through the city's news media, from information supplied as a community service by NASA's Lewis Research Center. Lewis routinely makes daily measurements of solar energy as part of its continuing research in behalf of the Department of Energy. The measuring device is a sun sensor called a pyranometer (upper photo) located atop a building at the NASA Center. To make the information conveniently available to news media, Lewis developed a Voice Output Integrating Insolometer, an automated system that acquires information from the sun sensor and translates it into a recorded telephone message. The Lewis pyranometer collects sun data for 15 hours daily and measures the total solar energy yield. For reporting to the public, the information is electronically converted to a specific reading. A media representative calling in gets a voice-synthesized announcement of a two or three digit number; the number corresponds to the kilowatt-hours of solar energy that would be available to a typical 500-square-foot solar collector system. Response in Cleveland has been favorable and interest is developing in other parts of the country.
Thematic Conference on Geologic Remote Sensing, 8th, Denver, CO, Apr. 29-May 2, 1991, Proceedings. Vols. 1 & 2

The proceedings contain papers discussing the state-of-the-art exploration, engineering, and environmental applications of geologic remote sensing, along with the research and development activities aimed at increasing the future capabilities of this technology. The following topics are addressed: spectral geology, U.S. and international hydrocarbon exporation, radar and thermal infrared remote sensing, engineering geology and hydrogeology, mineral exploration, remote sensing for marine and environmental applications, image processing and analysis, geobotanical remote sensing, and data integration and geographic information systems. Particular attention is given to spectral alteration mapping with imaging spectrometers, mapping the coastal plain of the Congo with airborne digital radar, applications of remote sensing techniques to the assessment of dam safety, remote sensing of ferric iron minerals as guides for gold exploration, principal component analysis for alteration mappping, and the application of remote sensing techniques for gold prospecting in the north Fujian province.
Personal Ontologies for Knowledge Acquisition and Sharing in Collaborative PrOnto Framework

This paper summarizes our preliminary experiences with implementing some of the ideas lying behind the concept of creative environment. Research group at the National Institute of Telecommunications has developed a prototype framework for collaborative knowledge acquisition and sharing, called PrOnto. At the moment the artifacts we organize and share are typical sources of scientific knowledge, namely journal papers and web pages. In PrOnto we introduce two interrelated explicit levels of knowledge representation: keywords and ontological concepts. Each user of the framework maintains his own ontological profile, consisting of concepts and each concept is, in turn, by subjective user’s decision, related to a set of weighted keywords that define its meaning. Furthermore, dedicated indexing engine is responsible for objectively establishing correspondence between documents and keywords, or in other words, the measure of representativeness of the keyword to document’s content. Developing an appropriate knowledge model is a preliminary step to share it efficiently. We believe that higher level representation facilitates exploration of other people’s areas of interest. PrOnto gives an opportunity to browse knowledge artifacts from the conceptual point of view of any user registered in the system. The paper presents the ideas behind the PrOnto framework, gives an outline of its components and finalizes with a number of conclusions and proposals for futuren enhancements.
Investigating different fitness criteria for swarm-based clustering

Swarm-based optimisation methods have been previously used for tackling clustering tasks, with good results. However, the results obtained by this kind of algorithm are highly dependent on the chosen fitness criterion. In this work, we investigate the influence of four different fitness criteria on swarm-based clustering performance. The first function is the typical sum of distances between instances and their cluster centroids, which is the most used clustering criterion. The remaining functions are based on three different types of data dispersion: total dispersion, within-group dispersion and between-groups dispersion. We use a swarm-based algorithm to optimise these criteria and perform clustering tasks with nine real and artificial datasets. For each dataset, we select the best criterion in terms of adjusted Rand index and compare it with three state-of-the-art swarm-based clustering algorithms, trained with their proposed criteria. Numerical results confirm the importance of selecting an appropriate fitness criterion for each clustering task.
Assessment of the Effectiveness of Social Programming

The entire diversity of assessments made by various subjects, going through certain procedures and stages in the assessment process, turns into resultant (final) assessments. As a rule, the organizational assessment process of the final information can serve as a basis of certain important practical conclusions for the implementation of relevant events and actions, development of programs to increase effectiveness.
Uma abordagem de aprendizagem semissupervisionada para a classificação automática de personalidade baseada em pistas acústico-prosódicas

Automatic personality analysis has gained great attention in the last years as a fundamental dimension in human-machine interactions. However, the development of this technology in some domains, such as the classification of children’s personality, has been hindered by the limited number and size of the available speech corpora due to ethical concerns on collecting such corpora. To circumvent the lack of data, we have investigated the application of a semi-supervised training approach that makes use of heterogeneous (age and language mismatches) and partially non-labelled data sets. Namely, preliminary personality models trained using a small labelled data set with French speaking adults are iteratively refined using a larger unlabeled set of Portuguese children’s speech, whereas a labelled corpus of Portuguese children is used for evaluation. We also investigated speech representations based on prior linguistic knowledge on acoustic-prosodic clues for personality classification tasks and have analysed their relevance in the assessment of each personality trait. The results point out to the potential of applying semi-supervised learning approaches with heterogeneous data sets to overcome the lack of labelled data in under-resourced domains, and to the existence of acousticprosodic clues shared by speakers with different languages and ages, which allows for the classification of personality independently of these variables.