Reviewerly/exHarmony huggingface dataset:
Model based diagnosis in complex industrial systems: a methodology

To fulfil market demand, the complexity of high-tech industrial systems is increasing every year. As a consequence, diagnosing failures leads to long down times, often because the issue at hand has to be escalated all the way to the development department to access the required knowledge. In this paper we propose a model based diagnostic methodology to support the field service engineer in finding the root cause of an unscheduled downtime in a timely way by bringing actionable design knowledge at the service engineer’s fingertips. We start by modeling the knowledge on the machine hardware decomposition, deployment and functional behavior by using a domain specific language. The language allows for an object oriented description of the system, with the functional behavior captured as probabilistic relationships between hardware components. This system description is then automatically transformed into a Bayesian belief network (BN): the diagnostic model. When a diagnosis is required, we infer the health state of the system’s components by instantiating the BN with discretized sensor and control data collected prior to the occurrence of a downtime. Finally, we compute the root cause hypotheses as the minimum sets of faulty components that are consistent with the evidence. We explain in a visual way the essential part of the diagnostic reasoning by pruning the causal graph underlying the BN, augmented with the data items supporting the hypothesis. We illustrate the methodology on a thermal conditioning subsystem. Our approach is domain independent and applicable to a wider range of cyber physical systems (CPS).
INNOVATIVE METHODS OF TEACHING GENERAL EDUCATIONAL DISCIPLINES

The article is devoted to the problem of improving quality indicators of training of graduates of technicaluniversities, including military specialists. Experience shows that one of the most effective methods of improvingthe professional training of graduates is the development of independence, mobility, and creative thinking ofstudents, that is why the structure of scientific creativity is becoming increasingly important. Thus, it is possible topoint to the contradiction: between the requirements for training activities with creative thinking and initiative and insufficientpreparation for self-development of future specialists; between the potential opportunities of modern computer technologies in the formation of professionalcompetencies of university graduates and the lack of specially developed forms and methods forimplementing these opportunities;The revealed contradiction allows determining the problem of research, which consists in identifyingforms, methods and means of improving the quality of professional training of graduates of technical universities.To address this issue, the authors investigated an innovative approach to the organization of the educational processusing the method of frontal research on the general professional discipline Electrical engineering and electronics.The essence of this method is to organize an individual approach not only to the study of each topic of the discipline,but also to link the results obtained with professional disciplines, including aspects of experimental research.The uniqueness of this research is that the methodological development of each issue of disciplines can bedeveloped according to an individual scenario (the article shows examples). Scientific, practical and pedagogicalsignificance of the described method of organizing the educational process was determined by conclusions based onthe results of a questionnaire in monitoring groups of students (125 people).The most significant of them: classes arevery interesting, but the difficulty is that students have no time to be distracted; a student understands the topic andtries to complete the task himself, but conclusions are not always obtained; students like a phased entry into theprofession.
Energy Efficiency in Machine Learning : Approaches to Sustainable Data Stream Mining

Energy efficiency in machine learning explores how to build machine learning algorithms and models with low computational and power requirements. Although energy consumption is starting to gain int ...
Application of Cooperative Learning Model Think-Talk-Write Type for Improving Intensive Reading Skills

The low level of intensive reading skill in Indonesian language of fourth grade of MI Darussalam becomes the background of this classroom action research. The ineffectiveness of the learning process is suspected by the lack of innovation and creativity of teachers in choosing a learning model. Therefore, the researcher applies cooperative learning model of Think-Talk-Write type as an effort to improve intensive reading skill of the fourth grade of MI Darussalam. Researcher is as the research subject and the fourth grade teacher of MI Darussalam is as observer. Data collection techniques conducted in this study are by using the techniques of observation, tests, and documentation. After conducting the research, it can be concluded that the average score of students' intensive reading skill before the research was 55,85 with less category. In the first cycle there has been an increase to 69.75 with sufficient category. Big changes occurred in cycle II with average value to 88.75 with good category. From the result of the research, it can be concluded that intensive reading skill of fourth grade of MI Darussalam can be increased by applying cooperative learning model type Think-Talk-Write.
Making images with sound

Floating visual displays created using acoustically levitated particles could lead to galleries of singing heads, and advances in contactless manufacturing. Michael Allen investigates
LibGuides: CKLS Grants: Outside Opportunities

Description of grants available through CKLS with links to forms and reports for each grant.
“Say it Louder, Say it Clear” – Assessing the Utility of Natural Language Processing

∗Department of Surgery and Olin Business School, Washington University in Saint Louis, St. Louis, Missouri †BJC Healthcare, St. Louis, Missouri ‡BJC Learning Institute, St. Louis, Missouri. [email protected]. Manuscript: Portable Automated Surveillance of Surgical Site Infections Using Natural Language Processing: Development and Validation Authors: Bucher et al. The author declares no conflicts of interest.
LibGuides: Remote Research Resources: About

Conducting research remotely? The New York Public Library has you covered. This guide includes resources to support your research 24/7 no matter where you are.
Review on Digital Communication on Social Networks andIts Impacts

The developing interest for the huge data transmission made the digital communication systemsprogressively attractive, most noteworthy of communications became digital because of the benefits of digitalcommunication over analog communication. There are numerous benefits of the digital communication overanalog communication such as speed, accuracy, transmission distance, running cost etc. the digitalcommunications are used almost in the every field in huge amount. The benefits of digital communication arebecause of its accuracy. Digital communication built up the social networks during the years to the digital timeassorted variety which utilizes digital media. The digital communication systems are maintenance systems. Thespecialists in this paper were anxious to audit how digital communication prompted the development of socialnetworks by survey the historical backdrop of digital communication, interpersonal networks. Likewise, this paperexamined a few certainties and insights about some well-known social networks such as Facebook, Instagram,Twitter and LinkedIn etc.
Pengaruh Model Pembelajaran Example Non-Example Terhadap Hasil Belajar Siswa pada Pembelajaran Tematik Kelas IV pada Gugus XIV Kota Bengkulu

This study studies to study the interaction of Exampe non-exampel on thematic learning to student learning uoutcomes.this type of research is quantitative research. The research method used was quasy experimental and the type of design used was matching only pretest-posttest control group design.the population of this study was all grade IV elementary schools in the XIV group in Bengkulu city. The sample in this study was  IVA class SDN 45 Bengkulu city and IVA class SDN 42 Bengkulu city. The sampling technique uses cluster random sampling. The research instrument used consisted of a test of learning outcomes for multiple choice questions given through pretest and posttest. To measure the results of learning attitudes and skills using observation sheets. The data analysis technique in this research is quantitative analysis using descriptive statistical types, prerequisite test analysis and inferencial statistic. Hypothesis testing is this study uses t-test. Based on the results of this study obtained  of 4,79 with a significant level of 5% of 2,02, with > . With an average value in Indonesian subject at 81,26 and science subject 89,61. The value  > , explained by the experimental class using the Example non-example model affecting student learning outcomes, so it can be concluded that it is related to the Example non-example model of student learning outcomes in thematic learning in class IV SDN in the XIV cluster Bengkulu city
LibGuides: Journalism: Getting Started

The purpose of this guide is to assist students in locating quality resources for their Journalism writing and research. This blueprint guide can help you put together a useful subject guide.
Analisis Penggunaan Model Pembelajaran Group Investigation (Investigasi Kelompok) Pada Mata Pelajaran Kearsipan di Smkn 1 Lamongan

The changes in learning followed by the 2013 curriculum to the 2013 revised 2018 curriculum, learning is required to be student-centered so that students will become more active, think critically, and be able to communicate well. This study aims to describe the use of the Group Investigation learning model in Filing subjects in SMK 1 Lamongan. This type of research is a qualitative descriptive study. The research subjects were 3 students of class X OTKP and 2 students of class X OTKP as source triangulation. Data collection techniques used were interviews and questionnaires. Data analysis techniques in this study used data collection, data reduction, data presentation, and drawing conclusions. The results showed that: 1) the division of groups and sub topics carried out by students; 2) students choose to plan assignments in advance by dividing assignments to each group member; 3) students investigate the problem given by analyzing the answers of other group members; 4) students collect all the answers from members of the group and will present it according to the agreement that was made at the beginning of learning; 5) student presentations; 5) students understand learning when they ask and listen to the answers that have been delivered at the time of presentation and afterwards.
Visualizing large medical image datasets using the 3D scale-invariant feature transform (SIFT)

This thesis proposes an image classification paradigm where instead of fully automatic classification, the goal is to generate a highly-informative visual summary of class-related information for human interpretation. Rather than providing a single classification, we provide a visualisation highlighting the information relevant to group differences. In this particular research, we provide a survey of instance-based classification and visualization. A probabilistic framework is developed for classification and visualization, based on the 3D scale-invariant feature transform (SIFT) format. We propose a novel kernel density bandwidth estimator for SIFT feature densities, based on hypothesis testing, where the bandwidth minimizes the p-value of Fisher’s exact test. We also propose a method of of ranking features based on the false discovery rate (FDR). An existing implementation of the SIFT-Rank method Toews & Wells (2013) is used for feature extraction, and classification and visualization are implemented in MATLAB. We validate our approach on 3D magnetic resonance image (MRI) data of the adult human brain from the Open Access Series of Imaging Studies (OASIS) dataset Marcus et al. (2007). Experiments investigated classification and visualisation of three binary categories: age (young, old), gender (male, female), and disease (Alzheimer’s disease vs. healthy). The highest classification accuracy was 94.71% for age (old vs. young), and the method may prove useful for understanding the aging process. The method is generally applicable to arbitrary 3D medical image modalities and conditions, for example computed tomography (CT) lung scans.
GoCrystal: A gamified visual analytics tool for analysis and visualization of atomic configurations and thermodynamic energy models:

In this article, we present GoCrystal, a new visual analytics tool for analysis and visualization of atomic configurations and thermodynamic energy models. GoCrystal’s primary objective is to suppo...
LibGuides: Library 101: Electronic Resources

This guide serves as an introduction to Library resources, checkout policies, hours, and research strategies. It provides a starting point for any new or returning students, faculty, and staff interested in starting research with library resources. This page provides information about the electronic resources available at the University Library.
The Use of “Define IT!” Game in Teaching Descriptive Speaking

English is one the great of world language and language is a tool to communicate with other people. Teaching English can be done through dialogues, pictures, games, etc.n This research was designed to know the use of “Define it!” game in teaching and the students' problem of “Define it!” game. This research was qualitative, here the researcher observed the teaching speaking descriptive by using “Define it!” game. This research was conducted one meeting and use observation checklist and interview as the data collection and the subject of this research are the student of the second A grade in SMPN 1 Bangkalan. The finding showed that the used of “Define it!” game in teaching speaking descriptive were: 1) describe something based on card picture, 2) the other player must guess what. Based on the observation and interview the researcher found the students difficulty in teaching speaking descriptive by using “Define it!” game. The problems of the student were: vocabularies (difficult to explore the idea and unconfident, it was problem obstructing them in teaching speaking by using “Define it!” game therefore they were scared to be wrong and shy to speak up. In the conclusion of the research showed that the use of “Define it!” game in teaching speaking descriptive was able to raise the students motivation, students desire to study, interest, did not bored and enjoy in teaching and learning process. Based on the research the student must keep their confidence and the result the observation and interview also indicate a good finding of the students' implementation and response toward the application “Define it!” game in teaching and learning process..
An Extension to Scenarios to Deal with Business Cases for the Decision-Making Processes in the Agribusiness Domain

With the aim of pushing innovation through information and communication technology in the agri-business field, working closely with farmers is essential. It is especially important to systematically capture their knowledge in order to analyze, propose and design innovation artifacts (in terms of software applications). In this article, we use Scenarios to capture the knowledge of the experts that is elicited in early meetings previous to the definition of requirements. At those early stages, there are many uncertainties, and we are particularly interested in decision support. Thus, we propose an extension of the Scenarios for dealing with uncertainties. Scenarios are described in natural language, and it is very important to have an unbiased vocabulary. We complement Scenarios with a specific glossary, the Language Extended Lexicon that is also extended to decision support. According to V-model life cycle, every stage has a testing related stage. Thus, we also propose a set of rules to derive tests from the Scenarios. Summing up, we propose (i) an extension to Scenarios and the Language Extended Lexicon templates, (ii) a set of rules to derive tests, and (iii) an application to support the proposed technique. We have applied the proposed approach in a couple of case studies and we are confident that the results are promising. Nevertheless, we need to perform a further exhaustive validation.
Petrographic and Microthermometric Measurment of Fluid Inclusions and its Constraints on Genesis of the Paleoproterozoic Carbonate-hosted Pb-Zn Deposit at RajpuraDariba, Rajasthan, India: Possibility of Fluidmixing

The Dariba Zn-Pb mineralizations are situated in the southern part of Rajpura-Dariba Bethumni Belt, Rajasthan, India.This study includes the fluid inclusions petrography and microthermometry in quartz samples, associated commonly with calc-silicate bearing dolostone and graphite-mica-schist.The different salinities and homogenization temperatures values were determined in the primary fluid inclusions in quartz.The microthermometric data indicate that four major types of fluids were responsible for the formation of the ore deposits.They are Type-I aqueous biphase inclusions, Type-II monophase CO2 inclusions, Type-III biphase aqueous-carbonic inclusions and Type-IV polyphase aqueous-carbonic inclusions.The Type-I and Type-III inclusions are more abundant than other inclusions.The observed and calculated data like the first and last ice melting temperature is an indicator of presence of salt in inclusions.The salinity of Type-I inclusions ranges from 4.15 to 13.26 wt% NaCl equivalent and temperature of total homogenization (Th) values are in the range of 98.2° to 135°C, with most values between 102° and 122°C while the salinity of Type-III inclusions ranges from 3.95 to 13.26 wt% NaCl equivalent and the temperature of total homogenization ranges from 250 to 290°C at pressure of 1.2 to 2 kbar, corresponding to a depth of mineralization at 0 -1.8 kms.The density of aqueous-carbonic inclusions measured in quartz samples varied from 0.65 to 0.96 g/cm 3 .Low salinity and low to medium temperature of homogenization of inclusions reveals that the cooling is the important mechanism for the mineralization of ore deposits, according to inclusion, i.e. composition, vapour and liquid may be the main agents for transport of Pb and Zn.
Setting Up Pools, Deployment Groups, and Agents

In the first two chapters, we discussed the concepts around Continuous Integration and Delivery and briefly explored concepts and features of Azure Pipelines. This has set the background for us to dive into each feature of Azure Pipelines, which will enable us to understand how to utilize Azure Pipelines to automate the software delivery process.
PERILAKU HIPERAKTIF PESERTA DIDIK DAN PENANGANANNYA (STUDI KASUS DI SDN INPRES BUMI BAHARI)

The aims to research on students' hyperactive behavior and its handling (case study in SDN Inpres Bumi Bahari) which is discussed into sub-problems, namely how is the behavior of hyperactive learners at SDN Inpres Bumi Bahari? What efforts have been made in handling the hyperactive behavior of students at SDN Inpres Bumi Bahari ?. This study uses a qualitative approach, data collection techniques through observation, interviews, and documentation. The results of this study indicate that the behavior of students who are hyperactive they are always difficult when invited to concentrate when the learning process, attention is easily distracted especially when he feels bored. At the time in the class, he often ran to and fro and often in and out of class for no apparent reason. They most like to disturb their friends in class. My students' various behaviors of students really train the patience of the teacher during the learning process. Efforts made in handling the behavior of hyperactive learners of a teacher are applying the rules slowly to students, helping students in learning, using positive reinforcement. Give the same treatment as other friends, warn classmates not to be antipathy towards him, put a hyperactive position in the front seat of students, do not give penalties that are too heavy, given the hyperactive punishment of students will feel more responsible for what he did. Motivating to be more enthusiastic in the learning process. The results of the study are expected that teachers must be more creative in managing the learning process so that students in SDN Inpres Bumi Bahari can concentrate well during the learning process.
Robust Scene Understanding via Real-Time Approximate Bayesian Computations

Visual scene understanding involves estimating quantities of interest (such as object category, location, etc.) from observed images and videos. Bayesian approaches to such problems are gaining importance as these provide uncertainty estimates of the variables being estimated. However, these tend to be expensive and unfeasible for real-time implementation. We present a framework for efficiently solving such problems in real-time using probabilistic analysis-by-synthesis (Approximate Bayesian Computations). The underlying generative models needed for ABC are built from realistic off-the-shelf simulation software but additionally include a simple Bayesian error model for the gap between simulation outputs and real data. We achieve real-time performance by introducing two novel approaches: neural emulators and tree pyramidal importance sampling.