Reviewerly/exHarmony huggingface dataset:
Cleaning and Mapping Interface

With the growth in data day by day, it is getting harder to collect data in a clean format. Data collected for different purposes from sources contains more noise than the data required for the purpose. This research focuses on the cleaning of data and making it meaningful to use by building an annotator which reduces manual labor and makes annotation more efficient. I built a Cleaning and Mapping Interface which detects misspelled word and corrects it, even helps in predicting the next words based on its previous knowledge. It can be used by users with no knowledge of any library or functional programming to annotate their data. It is a user-friendly software that is easy to use. The application is written in Python language with a simple user interface implemented using the Tkinter module. The program has the ability to learn new grammar. The algorithm is recursively applied to deal with the same sentences (that are matched before correcting them) in the document, making it less time consuming and efficient. Cleaning and Mapping Interface uses algorithms for recurrent neural networks and Naive Bayes for making predictions. It provides the user with correct spelling and the next word for a respective word, so annotation can be done faster.
Individual Expert Selection and Ranking of Scientific Articles Using Document Length

Individual expert selection and ranking is a challenging research topic that has received a lot attention in recent years because of its importance related to referencing experts in particular domains and research fund allocation and management. In this work, scientific articles were used as the most common source for ranking expertise in particular domains. Previous studies only considered title and abstract content using language modeling. This study used the whole content of scientific documents obtained from Aminer citation data. The modified weighted language model (MWLM) is proposed that combines document length and number of citations as prior document probability to improve precision. Also, the author's dominance in a single document is computed using the Learning-to-Rank (L2R) method. The evaluation results using p@n, MAP, MRR, r-prec, and bpref showed a precision enhancement. MWLM improved the weighted language model (WLM) by p@n (4%), MAP (22.5%), and bpref (1.7%). MWLM also improved the precision of a model that used author dominance by MAP (4.3%), r-prec (8.2%), and bpref (2.1%).
E-resources on the Websites of Engineering College Libraries in the Marathwada Region

E-Resources are short term for Electronic Resources or electronic information resources. An electronic resource is any information source that the library provides access to users in an electronic format. The libraries of engineering colleges have purchased subscriptions to many electronic information resources in order to provide access free of charge to the users. This paper aims to study the electronic information resources and services available on the library websites of engineering college libraries in Marathwada region. Also highlights Definitions, Types of E-resources, Purpose of E-Resources, Engineering Education, Libraries of Engineering Colleges, Websites of Engineering College Libraries, E-resources on the Websites and Conclusions. Keywords : E-resources, Engineering College Library, Websites Cite this Article Deshmukh Sonal Gajanan. E-resources on the Websites of Engineering College Libraries in the Marathwada Region. Journal of Advancements in Library Sciences . 2019; 6(Special Issue 1): 479s–487s.
LibGuides: Environmental Science Collection: Document View

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Controlling spins in nanodevices via spin-orbit interaction, magnons and heat

Today’s world is driven by digital computing and information technology, which has been made possible by the mass production of integrated circuits with faster and smaller transistors. Since the last five decades, the semiconductor industry has been successful in doubling the processing power of a computer chip every 2 years. This has been achieved by making tinier transistors and packing more of them in the same chip. Presently, the transistor sizes are in the order of a few nanometres, approaching the size of atoms (a million times smaller than the diameter of a human hair). However, as the transistor size is reduced further, its performance is adversely affected due to quantum mechanical effects. This has led to the development of alternative technologies for future device applications. This thesis is about one such alternative technology, which utilizes a fundamental property of the electron, known as ‘spin’, instead of the electronic charge. Spintronics, or spin-based electronics, can be utilized to make cheaper, faster and energy-efficient devices. The three main challenges in spintronics are the efficient generation, manipulation and detection of spin currents. The experiments presented in this thesis attempt to provide innovative solutions and investigate new ways of tackling these main challenges. Spin transport in a non-local geometry is the primary tool that has been used for this research. The experimental chapters investigate different techniques through which spins can be efficiently controlled, viz. spin-orbit interaction, heat, curved geometry and magnons. These results have direct implications for spin-based memory and logic devices.
Linked Open and Annotated Science and Heritage Data

The challenges involved in assuring the longevity and validity of heritage science data, and access to that data, require that all scientific data terminology and experimental procedures are not proprietary and have a common meaning across heritage institutions. While the temptation to create a new set of thesauri and definitions is great, it merely exacerbates the "siloed" impact that tends to separate rather than aggregate colleagues and data. Using IIIF and the Mirador viewer to integrate scientific and scholarly data about heritage objects, it became apparent when attempting to create a cohesive structure that terms in common use amongst one group of users were not necessarily familiar to the others. Therefore, easily accessed but rigorous controls on terms needed to be put into effect, with preference deliberately given to reusing existing resources.
Author Correction: Unsupervised Scalable Statistical Method for Identifying Influential Users in Online Social Networks

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.
Utilize New Python Features

The new features introduced in the latest Python 3 version have made Python much more fun to write programs in. Python already had a lot of great features, and Python 3 has made it a much more feature-rich language. Python 3 comes with features such as native support for async programming, typing, better performance, iterator improvements, and so on.
Hybrid BiLSTM-Siamese Network for Relation Extraction

Relation extraction is an important processing task in knowledge graph completion. In previous approaches, it is considered to be a multi-class classification problem. In this paper, we propose a novel approach called hybrid BiLSTM-Siamese network which combines two word-level bidirectional LSTMs by a Siamese model architecture. It learns a similarity metric between two sentences and predicts the relation of a new sentence by k-nearest neighbors' algorithm. In experiments, we use the SemEval-2010 Task8 dataset and achieve an F1-score of 81.8%.
Concepts of Cloud Computing and Protection of Data in Cloud Computing

The internet has changed the world in a strong way.ithas traveled from the concept of parallel computing to distributed computing to grid computing and recently to cloud computing.Cloud computing is a recent trend in Information Technology that moves computing and data away from desktop and portable personal computers into large data center.The main advantage of cloud computing is the user cannot pay for infrastructure, its installation, required man power to handle such infrastructure and maintenance.Cloud computing technology is collecting success stories of savings, ease of use, ease of access and increased flexibility in controlling how resources are used at any given time to deliver computing capability.Cloud providers who can demonstrate that they protect personal information may be more truthful and therefore more attractive to potential Cloud users.The cloud service can be implemented in three different service models, such as Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and Infrastructure-as-a-Service (IaaS).Data security and privacy protection issues are relevant to both hardware and software in the cloud architecture.This study is to review the concepts of cloud computing and different security techniques and protecting data in the cloud.
LibGuides: Earth, Atmospheric & Aquatic Science Collection: Searchable Fields

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Genre Distributions of Clause Combining

In Chap. 2 , we reviewed the relation types realized by different clausal linking patterns in the framework of SFL and formulated the clausal relation system following the notion of cline. In this chapter, we will conduct a quantitative research on the genre distributions of clause combining based on the Crown corpus, the BNC, and the COCA. The research mainly focuses on the application of the relations in informal and formal texts.
Problems in Practice:Critiquing on Thermochromic based Displays for Representing Skin Conductance

Increasing HCI work on affective technologies is using different materials to represent biosensory data. We explored several thermochromic, heating, and insulation materials to represents skin conductance data through abstract and ambiguous representations. We report on the development of three prototypes to represent emotional arousal using different colors, patterns, and shapes. By critically reflecting on our experience, we highlight problems in these prototypes and propose design guidelines to inform future research for representing arousal using thermochromic materials.
Facilitating reusable third-party annotations in the digital edition

In the conference on 'Annotation in Scholarly Editions and Research', we would like to discuss our work to facilitate third-party annotations in the digital edition: annotations on an edition made by researchers unaffiliated to the edition project, as a contribution to the explanatory material already present on the site, for purposes of private study or for publication in conjunction with a scholarly article. The more specific question that we want to explore is how to facilitate anchoring the annotation to a specific location in the digital edition. We need to make sure that (1) the annotation addresses a component in the logical information structure that defines the edition (and not a location in an HTML page which is merely one representation of an edited text), and (2) the information structure is described in sufficient detail to distinguish the edited text or document (the object of editing) from its (multiple) representation(s) in the edition. It should be possible to annotate (parts of) the document or work being edited (e.g. a manuscript page or a canonical location in a work) as well as its transcription, its translation or a page image. In the work, we might want to explain an obscure sentence; in the transcription, we might want to discuss an incorrect reading; in the translation we might want to point out a translation error. This paper continues our earlier work on the subject. In Boot, Haentjens Dekker, Koolen and Melgar (2017) we argued RDFa provides a suitable technology for embedding the required information in the edition's HTML pages. In Boot and Koolen (2018) we discuss an FRBR​OO-​ based ontology of the editorial domain, capable of describing both the objects of editing (Text and Document) and their representation in the edition. We have a fully functional and open source prototype of an annotation tool that over the coming years will be actively developed, for use in multiple disciplines, in the Dutch CLARIAH (= CLARIN + DARIAH) infrastructure. In the Wuppertal conference we would like to show how an ontology-aware annotation tool can use the ontology in the context of an edition of the letters of Vincent van Gogh. In that edition, four representations of the letter are available: a line-by-line (diplomatic) transcription, a running (critical) text, a translation into English and a page image. We will show how annotations made in the context of one such representation can be made to address either that specific representation or the underlying abstract text, and thus be displayed either in one representation only, or in all representations. Being able to accomplish this on a technical level is neat, but only a first step. We will also discuss the potential impact on humanities research practice: the possibility to (collaboratively) create, organize and share annotations of different types offers researchers access to layers of interpretation made by others. This could have fundamental implications for the transmission of knowledge in the humanities.
Feature Based Data Anonymization for High Dimensional Data

Information surges and advances in machine learning tools have enable the collection and storage of large amounts of data.These data are highly dimensional.Individuals are deeply concerned about the consequences of sharing and publishing these data as it may contain their personal information and may compromise their privacy.Anonymization techniques have been used widely to protect sensitive information in published datasets.However, the anonymization of high dimensional data while balancing between privacy and utility is a challenge.In this paper we use feature selection with information gain and ranking to demonstrate that the challenge of high dimensionality in data can be addressed by anonymizing attributes with more irrelevant features.We conduct experiments with real life datasets and build classifiers with the anonymized datasets.Our results show that by combining feature selection with slicing and reducing the amount of data distortion for features with high relevance in a dataset, the utility of anonymized dataset can be enhanced.
특수교사의 스마트러닝에 대한 인식 및 활용 실태

The purpose of this study is to find out the perception of the special education teacher and actual condition about smart learning, and to suggest the desirable direction. In order to do this, the interview were administered with 6 special education teachers who are using the smart learning. The int...
Estrategias focalizadas a favor del pensamiento creativo y la expresión artística en un grupo multigrado de primaria

Artistic expression proved to be one of the means to improve students’ creative thinking in a multigrade elementary group in the municipality of Ahualulco, San Luis Potosi, Mexico. For this reason, the present article shows the design, application and evaluation of focused and situated didactic strategies for the improvement of creative thinking. The theoretical approach of this writing emphasizes that artistic expression favors thought, expression and the critical preservation of identities (Torres, 2010). The methodological proposal is based on formative research approach, which prioritizes the investigation on the teacher’s own practice. The observation and analysis of artifacts as the students’ productions make up the corpus of techniques and instruments that were used. The axis of the analytical process is the reflexive processes and focused protocols of the practice of teaching. The results of the research show that creative thinking manifested in artistic expression allows students to think, feel and know. As a contribution, this work shows the generation of pedagogical knowledge in the teacher and the strengthening of the learning processes in the students thanks to the artistic expression.
Coding strategies with different numbers of fine structure channels

With its current coding strategies, MED-EL tries to make temporal information of a sound signal available via the fine structure for the CI user. This should improve both speech understanding in noise and sound and music perception. The aim of this study is to compare the latest high-sample-rate fine-structure strategy (FS4-HR) with the first generation of fine-structure strategies (FSP) in terms of speech understanding, perception of music and sound.
Research on the Reform of College Physical Education Based on the Concept of Lifelong Physical Education

The concept of lifelong physical education is a teaching concept that has been put forward for more than half a century.It emphasizes that physical exercise should run through our study, work and life.So we should exercise consciously.However, college students, a huge group, are seriously lacking this concept, which deserves people's deep consideration.In view of the implementation of the concept of lifelong physical education in College Physical Education classes, this paper analyses the problems existing in College Physical Education from the perspective of the concept of lifelong physical education and puts forward four improvement measures in order to promote the reform of College Physical Education in China.
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Multidimensional Compression with Pattern Matching

Sensors typically record their measurements using more precision than the accuracy of the sensing techniques. Thus, experimental and observational data often contains noise that appears random and cannot be easily compressed. This noise increases storage requirement as well as computation time for analyses. In this work, we describe a line of research to develop data reduction techniques that preserve the key features while reduce the storage requirement. Our core observation is that the noise in such cases could be characterized by a small number of patterns based on statistical similarity. In earlier tests, this approach was shown to reduce the storage requirement by over 100-fold for one-dimensional sequences. In this work, we explore a set of different similarity measures for multidimensional sequences. During our tests with standard quality measures such as PSNR, we see that the new compression methods reduce the storage requirements over 100-fold while maintaining relatively low errors in peak signal-to-noise ratio. Thus, we believe that this is a new and effective way of constructing data reduction techniques.
Poetry Form Checker

Limericks, sonnets, haiku, and other forms of poetry each follow prescribed patterns that give the number of lines, the number of syllables on each line, and a rhyme scheme. For example, limericks are five lines long; the first, second, and fifth lines each have eight syllables and rhyme with each other; and the third and fourth lines each have five syllables and rhyme with each other.1
A Library Research: Teaching English to English Language Learners with Learning Disabilities

Lack of knowledge about learning disability makes the English teachers in developing non-English speaking countries hardly distinguish the presence of students with learning disability among their students in their general setting classroom. Then, when they are able to identify their students having learning disabilities, other problems comes up since the schools do not have enough resources and special education services. It is so problematic since they cannot send these students to special education school as learning disability (LD) is still considered mild to attend the special education school. Related to the problem mentioned, this paper provides some teaching strategies from some experts that can be used to teach both students with and without learning disability in general setting classroom. These teaching strategies will be collected through reviewing all empirical research related to the topic. The result of this paper is a set of collected strategies to teach English language learners (ELLs) with and/or without learning disability (LD).
Implementasi Kebijakan Full Day School Terhadap Perkembangan Sosial Anak Peserta Didik Kompetensi Akuntansi Dan Keuangan Lembaga Di Smk Negeri 3 Sukoharjo Tahun Ajaran 2018-2019

Tri Kusuma Ningtyas/A210140128 FULL DAYPOLICY IMPLEMENTATION OF SOCIAL DEVELOPMENT OF CHILDREN SCHOOL STUDENTS COMPETENCE OF ACCOUNTING AND FINANCIAL INSTITUTIONS IN SMK N 3 SUKOHARJO 2018-2019 ACADEMICYEAR.Essay. Teacher Training and Education Faculty, Muhammadiyah University Surakarta. May, 2019 ThePurpose of this study was to describe the implementation of a full day school policy on the social development of students at Sukoharjo Vocational High School 3.This type of research is qualitative research that uses a cultural approach (ethnography). Techniques for collecting data through interviews, observation, and documentation. The validity of the data is done by source triangulation and technical triangulation. Data analysis techniques by reducing data, presenting data, drawing conclusions. The results of the study show that (1) teachers can develop curriculum to develop appropriate strategies in learning, (2) education management needs to be managed properly, (3) facilities and infrastructure that need improvement, (4) teacher human resources can enrich knowledge, skills, teachers can use learning methods that make students not bored, (5) principal funding can manage finances well, (6) family, parents can supervise children while at home, (7) maturity, children when having problems can solve it themselves, (8) socio-economic status, children when friends do not choose friends, (9) mental capacity, children when having problems do not overly emotionally resolve them properly.Keywords: Full day school, Sukoharjo Vocational High School 3 Students, Child Social Development.
Malaria parasitaemia among residents of Emohua Local Government Area and Port Harcourt Metropolis, Rivers State, Nigeria

Malaria is responsible for significant cases of morbidity and mortality among children and pregnant women in sub-Saharan Africa. The study investigated the prevalence of malaria among residents of Emohua Local Government Area and Port Harcourt Metropolis, Rivers State, Nigeria. Four hundred randomly selected study participants were examined by oil immersion microscopy, using thick (stained with Field’s stains A and B) and thin (stained with 3% Giemsa) blood films. Data collected was statistically analyzed using descriptive statistics, t-test and chi- square test at 5% significance level. Plasmodium falciparum was the only species found in both study populations. An overall study of 44.3% was observed for malaria parasitaemia; Emohua and Port Harcourt had prevalence of 53% and 35.5% respectively (p&lt;0.05). the overall malaria in relation to sex was 44.2% and 44.3% in females and males respectively (p&gt;0.05); Emohua had prevalence of 55% and 50% for females and males respectively while Port Harcourt had 30.5% and 40% for females and males respectively (p&lt;0.05). study participants in age group 10-12 years had the highest prevalence of 58%; Emohua and Port Harcourt had the highest prevalence in age groups 10-12 years (78.3%) and 16-18 years (50%) respectively (p&lt;0.05). The study shows that malaria is still a significant public health problem in Emohua and Port Harcourt metropolis, there is need for sustained public awareness and effective control measures.Keywords: Malaria; parasitaemia; Emohua; Port Harcourt; Rivers State
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