Reviewerly/exHarmony huggingface dataset:
A Cross-Genre Ensemble Approach to Robust Reddit Part of Speech Tagging

Part of speech tagging is a fundamental NLP task often regarded as solved for high-resource languages such as English. Current state-of-the-art models have achieved high accuracy, especially on the news domain. However, when these models are applied to other corpora with different genres, and especially user-generated data from the Web, we see substantial drops in performance. In this work, we study how a state-of-the-art tagging model trained on different genres performs on Web content from unfiltered Reddit forum discussions. We report the results when training on different splits of the data, tested on Reddit. Our results show that even small amounts of in-domain data can outperform the contribution of data an order of magnitude larger coming from other Web domains. To make progress on out-of-domain tagging, we also evaluate an ensemble approach using multiple single-genre taggers as input features to a meta-classifier. We present state of the art performance on tagging Reddit data, as well as error analysis of the results of these models, and offer a typology of the most common error types among them, broken down by training corpus.
Augmented Reality in 3D Printing

Augmented reality is going to play a key role in the future for different applications and aspects such as medical, industry, education, and business. There are already some advancements in augmented reality technology in our daily life. However, reliability is the main factor as there are still a lot of uncertainties for this technology to be used especially in the manufacturing industry. With the widespread availability and rapid evolution of smartphones, augmented reality can be now slowly integrated into a smart handheld device as it has built-in inertia measurement unit of GPS, gyroscope, and accelerometer that fulfill the basic requirements of building an augmented reality application. This project is solving the latency of data transfer problems by introducing a mobile augmented reality to conduct real-time information exchange. Secondly, it can resolve the common mistake such as missing instruction manuals by putting the information as augmented content which is in digital form. Simulation of 3D printing also one of the functionalities in this project in order to simulate the movement of the 3D printer as well as provide an estimated printing time according to the size of the object. Vuforia SDK and Unity engine will be used as a software tool to develop the application for this project. The procedures for this project have divided into few parts which are designing, model tracking, communicate with the database and augmented object rendering. Different results in actual 3D printing and simulation of 3D printing have been collected and compared in tabulated form. Some factors such as layer height also found out that it will contribute a larger impact in total printing time. A survey is also conducted to 10 users by giving back their feedbacks in this application.
Research Guides: How to use the Notre Dame Hesburgh Library: Home

A guide for the Saint Mary's community on the technical and logistical details of accessing databases, electronic journals, and other electronic resources at Notre Dame's Hesburgh Library.
Knowledge Diffusion from China into Ghana’s Agricultural Sector: Processes, Contexts and Success Variations Among Agricultural Sub Sectors

Development literature show that when actors from different territories meet knowledge is likely to be shared in more relational and interactive terms.This argument forms the basis for interrogating the essence of knowledge diffusion from China into Ghana's agricultural sector in terms of forms, contexts, processes and success variations.The research was qualitative in nature with the deployment of exploratory research design.The study used data collection methods involving 8 interviews and 3 focus group discussions involving purposively selected individuals, groups, state and non-state institutions in the agricultural sector.The dynamics of knowledge diffusion from China into Ghana's agricultural sector, as the study found out, present certain unique patterns of non uniformity.Such non uniformities formed the basis upon which the knowledge diffusion processes could be understood and applied.Arrays of mediums were found as being used to diffuse the knowledge from China into Ghana's agricultural sector in the contexts of increasing degrees of technological advancement and stateinitiated policy arrangements.The study also found out that the successful diffusion of knowledge from one territory to another largely depends on the linguistic parity as well as foundational knowledge, adaptive power and innovative abilities of the actors in the recipient country.In all cases, the varied degree of diffused knowledge between the territories shows that the involvement of the state could be the defining factor in promoting knowledge diffusion.
Refining Implicit Argument Annotation for UCCA

Predicate-argument structure analysis is a central component in meaning representations of text. The fact that some arguments are not explicitly mentioned in a sentence gives rise to ambiguity in language understanding, and renders it difficult for machines to interpret text correctly. However, only few resources represent implicit roles for NLU, and existing studies in NLP only make coarse distinctions between categories of arguments omitted from linguistic form. This paper proposes a typology for fine-grained implicit argument annotation on top of Universal Conceptual Cognitive Annotation's foundational layer. The proposed implicit argument categorisation is driven by theories of implicit role interpretation and consists of six types: Deictic, Generic, Genre-based, Type-identifiable, Non-specific, and Iterated-set. We exemplify our design by revisiting part of the UCCA EWT corpus, providing a new dataset annotated with the refinement layer, and making a comparative analysis with other schemes.
Hand Gesture Recognition to Speech for Dumb Prepole Using AI

Our project in the main addresses to facilitate deaf and dumb person’s life vogue. Dumb and deaf folks communicate with people throughout the globe victimization hand gestures. However people face difficulties in understanding the gestures language. To beat this real time problems system is developed. This is a user friendly, value effective system that reduces communication gap between dumb and deaf with normal folks. The projected system captures a hand gestures victimization camera. Image process of capture is finished. The projected system having four modules like preprocessing and hand segmentation, feature extraction, sign recognition and sign to text and voice speech. Segmentation is finished by victimization background subtraction algorithmic program. Finding contour space, umbel-like hull, hull area, solidity. Additionally notice the angle between two fingers and ratio of hand.
‘乎’자와 ‘平’자를 통해서 본 고등학생의 쓰기 오류 검토

This study seeks for an analysis of the type of Chinese character writing error among highschool student (Dongwon high school) in Suwon, Korea. Using the writing error types of '乎' and '平' as the central theme, the error rate statistics were derived using a regular test(midterm examination). As a result, the error rate is just 0.95%. Therefore, it is true that a education of writing Chinese character is important, but it is too much to say that it can be applied to all levels of schools from elementary to high school. Therefore various approaches such as Chinese Character Configuration etc are needed to reduce writing errors. And Orthography of Chinese character is confirmed to be in line with the major competences of classical written language education(Hanmun) as a learning element.
Bibliometric analysis on hemodialysis nursing research of China from 1997 to 2018

ObjectiveTo understand the research status, research hotspots and research fronts of domestic hemodialysis nursing by bibliometric analysis on literatures related to hemodialysis nursing research from 1997 to 2018 so as to provide a direction and thinking for further researches in the field.MethodsWe retrieved hemodialysis nursing related literatures published in China National Knowledge Infrastructure (CNKI) and WanFang data from 1st January 1997 to 18th July 2018. The BibExcel was used to de-duplication, and Excel was to set up a database to carry out statistical analysis including the number of papers, periodical distribution, fund, areas of literature studies, author institution, research hotspots and fronts.ResultsA total of 8 548 literatures were included. The annual number of papers had a tendency firstly increasing and then decreasing overall; fund projects were less; the number of core journals and papers was small; the research hotspots were focus on hemodialysis therapies, nursing intervention, uremia, complications and internal arteriovenous fistula; research fronts underwent three stages of development, and the future of them would fasten on high quality nursing, application effects and bundled care.ConclusionsThe number of literatures on domestic hemodialysis nursing is increasing with rich contents. However, the geographical distribution is narrow, and fund is less, and study quality and level need to be further enhanced. Scientific research should be devoted heavily to improve the guideline value of research findings for clinical practice in the field.Key words: Bibliometrics; Dialysis; Nursing; Research hotspots; Research fronts
Fast Execute-Only Memory for Embedded Systems

Remote code disclosure attacks threaten embedded systems as they allow attackers to steal intellectual property or to find reusable code for use in control-flow hijacking attacks. Execute-only memory (XOM) prevents remote code disclosures, but existing XOM solutions either require a memory management unit that is not available on ARM embedded systems or incur significant overhead. We present PicoXOM: a fast and novel XOM system for ARMv7-M and ARMv8-M devices which leverages ARM's Data Watchpoint and Tracing unit along with the processor's simplified memory protection hardware. On average, PicoXOM incurs 0.33% performance overhead and 5.89% code size overhead on two benchmark suites and five real-world applications.
교정공무원의 직장-가정갈등이 조직헌신에 미치는 영향: 직무소진의 매개효과 중심으로

The correctional officer is one of the occupational groups with high possibility of job exhaustion and work-family conflict due to the dual tasks that should be corrected and edited while controlling and controlling the prisoners. In recent years, unlike in the past, which gives greater value to the workplace than to the home, importance is attached to the balance of daily life. Work-family conflicts must also be considered in order to require organizational commitment to organizational members. Through this awareness, this study attempted to clarify the relationship between work-family conflict and organizational commitment perceived by correctional officers. In order to derive these assumptions, a total of 574 corrective officers participated in the survey from April 24, 2017 to May 20, 2017, and 560 valid questionnaires were used for the analysis. The results of this study are summarized as follows. Even if the conflict between the workplace and the family gets worse, the correctional officers are willing to devote voluntarily to the job characteristics, status, and goals of the public servants. However, when conflicts between the workplace and the family persist, it is difficult to expect voluntary actions for the organization. Therefore, it is suggested that the work-family conflict of the correctional officer may cause negative consequences to the organization, and it is necessary for the organization-level interest and research.
OnePlus 7 Pro Review – One Of The Best Phones Of 2019

The OnePlus 7 Pro has finally arrived, there are quite a few things on this phone that has been upgraded from that of its predecessor. ...
좋은 보육교사에 대한 인식연구: Q 방법론적 접근

The purpose of this study is to use the Q-methodology for analyzing the types and characteristics of subjective attitudes about good childcare teachers. A total of 170 Q-groups were formed through preceding papers and in-depth interviews, and 33 Q-Statements that were judged to be the most relevant and representative of the subject of the study, were selected as Q-samples. For sample P, we selected 23 daycare center teachers working in P city to classify Q awareness of good childcare teachers into 9 levels and analyzed the data using the QUANL Program. As a result, Q awareness was classified into three types. The first type was presented as 'authentic type', the second type as 'communication type', and the third type as 'sensitive type'. The first type showed that children should recognize the individual differences, praise and encourage the children themselves, and care for them safely. The second type was bright and cheerful, loving and loving children and cooperative relationship with the director of the childcare center and fellow childcare teachers. The third type showed that they should love children, be sensitive to their needs, and take care of them safely. The results of this study are expected to provide childcare teachers with the opportunity to recognize good child care teachers and to provide basic data that can be used to improve the quality of care.
Effects of continuous nursing based on mobile health platform on continuous treatment knowledge, attitude and behavior in discharged patients with venous thromboembolism

ObjectiveTo explore the effects of continuous nursing based on mobile health platform on continuous treatment knowledge, attitude and behavior in discharged patients with venous thromboembolism (VTE) .MethodsFrom February 2017 to January 2018, this study selected 342 discharged VTE patients at a Class Ⅲ Grade A hospital in Chongqing as subjects by convenience sampling. All of patients were randomly divided into control group (n=169) and observation group (n=173) according to the admission number. Control group carried out the routine discharge health instruction, while observation group implemented continuous rehabilitation nursing instruction based on mobile health platform. The continuous treatment knowledge, attitude and behavior for VTE of patients between two groups were compared with the self-designed continuous treatment questionnaire for discharged VTE patients.ResultsA total of six months after intervention, the scores of VTE related knowledge, continuous treatment attitude and compliance of observation group were higher than those of control group with statistical differences (P<0.01) .ConclusionsContinuous nursing instruction based on mobile health platform for discharged VTE patients is conducive to improving their continuous treatment knowledge, attitude as well as compliance.Key words: Venous thromboembolism; Rehabilitation nursing; Mobile health; Discharged patients; Continuous nursing; Knowledge, attitude, behavior; Health education
Lightweight Blockchain Framework for Location-aware Peer-to-Peer Energy Trading

Peer-to-Peer (P2P) energy trading can facilitate integration of a large number of small-scale producers and consumers into energy markets. Decentralized management of these new market participants is challenging in terms of market settlement, participant reputation and consideration of grid constraints. This paper proposes a blockchain-enabled framework for P2P energy trading among producer and consumer agents in a smart grid. A fully decentralized market settlement mechanism is designed, which does not rely on a centralized entity to settle the market and encourages producers and consumers to negotiate on energy trading with their nearby agents truthfully. To this end, the electrical distance of agents is considered in the pricing mechanism to encourage agents to trade with their neighboring agents. In addition, a reputation factor is considered for each agent, reflecting its past performance in delivering the committed energy. Before starting the negotiation, agents select their trading partners based on their preferences over the reputation and proximity of the trading partners. An Anonymous Proof of Location (A-PoL) algorithm is proposed that allows agents to prove their location without revealing their real identity. The practicality of the proposed framework is illustrated through several case studies, and its security and privacy are analyzed in detail.
Study on Cognitive Optical Network Structure and Self-optimization with the Application of Artificial Intelligence Technology

Cognitive optical network is the intermediate to combine artificial intelligence technology with network, and also the important network technology to promote network intelligence level constantly. In the paper, it analyzes the cognitive optical network structure with the application of artificial intelligence technology by starting from the basic conditions of cognitive network and cognitive optional network on the basis of fully understanding the connotation of cognitive network and cognitive optical network, and explores its self-governance functions, so as to better realize the self-optimization and self-configuration of network.
Bayesian Spike Sorting: Parametric and Nonparametric Multivariate Gaussian Mixture Models

The analysis of action potentials is an important task in neuroscience research, which aims to characterise neural activity under different subject conditions. The classification of action potentials, or “spike sorting”, can be formulated as an unsupervised clustering problem, and latent variable models such as mixture models are often used. In this chapter, we compare the performance of two mixture-based approaches when applied to spike sorting: the Overfitted Finite Mixture model (OFM) and the Dirichlet Process Mixture model (DPM). Both of these models can be used to cluster multivariate data when the number of clusters is unknown, however differences in model specification and assumptions may affect resulting statistical inference. Using real datasets obtained from extracellular recordings of the brain, model outputs are compared with respect to the number of identified clusters and classification uncertainty, with the intent of providing guidance on their application in practice.
On the assessment of formation of the system of main concepts of mathematical analysis

The object of this research is the results of experimental use of the test for inventory of the concepts of mathematical analysis (Calculus Concept Inventory, CCI), which is aimed at assessment of the key concepts of mathematical analysis, such as function, limit and derivative. The test was conducted in the period from 2016 to 2020 and involved Bachelor&amp;rsquo;s degree students of Financial University under the Government of the Russian Federation on the discipline &amp;ldquo;Applied Mathematics and Informatics&amp;rdquo;. &amp;ldquo;Mathematical Analysis&amp;rdquo; is one of the key disciplines in formation of mathematical competencies of students majoring &amp;ldquo;Applied Mathematics and Informatics&amp;rdquo;. Test was developed by the leading experts from the United States in the area of mathematics and teaching mathematics in the universities, and was implemented in Russian practice for the first time. For quality assessment of the test was applied Cronbach's alpha coefficient, and the results were evaluated based on the Item Response Theory. Although in universities of the United States the implementation of this test showed relatively low effectiveness, for the students of Financial University the coefficient values were significantly higher and allow making an unequivocal conclusion on the informativeness of results. The article also applies the values of discriminant coefficient. Their fluctuation allows using the test not only for assessing the achievement in learning mathematical analysis of students in groups, but also individual results. The results demonstrate that the traditional approach in teaching the principles of mathematical analysis that is widely recognized in the Russian universities is ineffective, which underlines the need to rearrange the content and methods of teaching mathematical analysis in a university.
Major, trace, and rare earth element geochemistry of the Oligocene Chiatura stratiform manganese oxide/hydroxide deposit, Georgia

Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at G-Cubed. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Major, trace, and rare earth element geochemistry of the Oligocene Chiatura stratiform manganese oxide/hydroxide deposit, GeorgiaAuthors Bilge SASMAZ Ahmet SASMAZ iD James R. Hein iDSee all authors Bilge SASMAZCorresponding AuthorFirat Universityview email addressThe email was not providedcopy email addressAhmet SASMAZiD• Submitting AuthorFirat UniversityiDhttps://orcid.org/0000-0003-1154-732Xview email addressThe email was not providedcopy email addressJames R. HeiniDUnited States Geological SurveyiDhttps://orcid.org/0000-0002-5321-899Xview email addressThe email was not providedcopy email address
Rasgele Seçim Tabanlı Yer Değiştirme Kutularının Performans İyileştirmesi için Son İşlem Algoritmaları

Substitution boxes are an important cryptographic primitive. Design techniques based on mathematical transformations, a design technique of these cryptographic primitives, have played a particularly important role in the block encryption algorithm known as the Advanced Encryption Standard (AES). Because AES substitution box structure has the best cryptographic properties. However, various weaknesses arise when the implementation attacks are considered. Although the cryptographic properties of substitution box structures based on random selection techniques are worse than the AES substitution box structure, they are more successful to prevent implementation attacks. The aim of this study is to investigate the performance improvement algorithms of substitution boxes based on random selection. In this study, it has been shown that performance improvements of substitution boxes based on random selection can be achieved with the proposed post-processing algorithms. These results are thought to make significant contributions in the future, especially as a countermeasure for the prevention of implementation attacks.