scholarly journals Annotated scientific text visualizer: design, development, and deployment

2019 ◽  
pp. 45-50
Author(s):  
John Blake
Keyword(s):  
Computer Science ◽  
Research Articles ◽  
Discourse Community ◽  
Design Development ◽  
Scientific Text ◽  
Online Tool ◽  
Interactive Tool ◽  
Pedagogic Tool ◽  
Learning Paths

Prototypes of an annotated scientific text visualizer were designed, developed, and deployed. This pedagogic tool is designed to help undergraduates draft short research articles that conform to the generic expectations of their discourse community. This online tool enables users to discover and explore the language features present in short research articles. Users can select to visualize research articles in the field of computer science. The articles are categorized into four types. Users select to hide or reveal particular language features and their associated explanations in text, audio, or video formats. This enables them to create their own learning paths with this interactive tool. Students can use the visualizer to individualize their own learning interactively at their own pace on materials that are relevant to them.

scholarly journals Online Tool Wear Classification during Dry Machining Using Real Time Cutting Force Measurements and a CNN Approach

2018 ◽  
Vol 2 (4) ◽  
pp. 72 ◽  
Author(s):  
German Terrazas ◽  
Giovanna Martínez-Arellano ◽  
Panorios Benardos ◽  
Svetan Ratchev
Keyword(s):  
Tool Wear ◽  
High Speed ◽  
Big Data Analytics ◽  
Design Development ◽  
Online Tool ◽  
Overall Evaluation ◽  
Intelligent Information ◽  
Key Enabling Technologies ◽  
Processing Techniques ◽  
Tool Wear Classification

The new generation of ICT solutions applied to the monitoring, adaptation, simulation and optimisation of factories are key enabling technologies for a new level of manufacturing capability and adaptability in the context of Industry 4.0. Given the advances in sensor technologies, factories, as well as machine tools can now be sensorised, and the vast amount of data generated can be exploited by intelligent information processing techniques such as machine learning. This paper presents an online tool wear classification system built in terms of a monitoring infrastructure, dedicated to perform dry milling on steel while capturing force signals, and a computing architecture, assembled for the assessment of the flank wear based on deep learning. In particular, this approach demonstrates that a big data analytics method for classification applied to large volumes of continuously-acquired force signals generated at high speed during milling responds sufficiently well when used as an indicator of the different stages of tool wear. This research presents the design, development and deployment of the system components and an overall evaluation that involves machining experiments, data collection, training and validation, which, as a whole, has shown an accuracy of 78 % .

Scientific registers in contact

2009 ◽  
Vol 14 (4) ◽  
pp. 524-548 ◽  
Author(s):  
Elke Teich ◽  
Mônica Holtz
Keyword(s):  
Computer Science ◽  
Computational Linguistics ◽  
Research Articles ◽  
Functional Variation ◽  
Scientific Texts ◽  
Scientific Disciplines ◽  
Scientific Research Articles ◽  
And Linguistics ◽  
Insight Into ◽  
Linguistic Means

We report on a project investigating the lexico-grammatical properties of English scientific texts. The goal of this project is to gain insight into the linguistic effects of two scientific disciplines coming into contact with one another (e.g. computer science and linguistics) and possibly forming a merged, new discipline (i.e. computational linguistics). The crucial question to be addressed is how such merged disciplines construe their own, distinctive identity and which kinds of linguistic means they employ to this end. To approach this question, we apply the notion of register, i.e. functional variation or variation according to context of use. On the basis of a corpus of scientific research articles from nine scientific domains, we explore selected lexico-grammatical patterns and assess their contribution to register formation.

A cross-disciplinary corpus-based study on English and Chinese native speakers’ use of first-person pronouns in academic English writing

2017 ◽  
Vol 38 (1) ◽  
Author(s):  
Gao Xia
Keyword(s):  
Computer Science ◽  
Native Speakers ◽  
Research Articles ◽  
First Person ◽  
Academic English ◽  
English Writing ◽  
Person Pronoun

AbstractThis paper reports on a study that comparatively investigated the differences and similarities in the use of first-person pronouns by English and Chinese native speakers (ENSs and CNSs) in their academic English writing. Using a corpus comprising journal research articles (RAs) from the fields of Physics, Computer Science, Linguistics and Management written by ENSs and CNSs, I present data to reveal that (i) the use of first-person pronouns in Physics is more frequent than that in other disciplines for both ENSs and CNSs; (ii) there are no consistent ENS/CNS frequency differences in first-person pronoun usage across the four disciplines; (iii) the plural first-person pronoun

scholarly journals An Online Tool to Inform and Educate Caregivers on Amyotrophic Lateral Sclerosis (ALS)

2021 ◽  
Author(s):  
Maria Giannaki ◽  
Parisis Gallos ◽  
Joseph Liaskos ◽  
Spyros Zogas ◽  
John Mantas
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Evaluation Process ◽  
Content Management ◽  
Design Development ◽  
Structured Interviews ◽  
Online Tool ◽  
Training Materials ◽  
And Training ◽  
Lateral Sclerosis

Amyotrophic Lateral Sclerosis (ALS) is the most common Motor Neuron Disease. This paper presents the design, development, and evaluation of an online tool that provides information and training materials to caregivers about ALS, to promote health care and quality of life of patients. To collect the appropriate content, a literature review was conducted, and a Content Management System (CMS) was used for the development of the tool. For its evaluation, reliability, acceptance, effectiveness and usefulness were examined through semi-structured interviews. The online tool was positively evaluated by the caregivers, who participated in the evaluation process.

scholarly journals Features of construction of individual learning paths while learning disciplines of the natural scientific cycle at higher education institution (on the example of Computer Science)

2020 ◽  
pp. 68-77
Author(s):  
Irina V. Galygina ◽  
Liliya V. Galygina
Keyword(s):  
Higher Education ◽  
Computer Science ◽  
Education Institution ◽  
Individual Learning ◽  
Professional Competencies ◽  
Federal State ◽  
Control Points ◽  
Learning Path ◽  
Learning Paths ◽  
State Educational

The paper discusses the features of constructing individual learning paths for the disciplines of the natural science cycle (on the example of Computer Science) in the context of a ranking system for assessing the knowledge of students in Higher Education in the context of the introduction of Federal State Educational Standards for higher education 3++ in various areas of training. Various options are proposed for constructing learning paths that provide an individual approach to learning, achieving the required level of formation of general professional competencies in the discipline of “Computer Science” and increasing motivation in learning, as well as the formation of an adequate student self-esteem. In particular, options are considered for constructing an individual learning path for differentiated control points (exam or test with “satisfactory”, “good” and “excellent” grades) and undifferentiated control points, implying an assessment of the level of formation of general professional competencies in the form of “pass” and “fail”.

Metadiscourse variations in the generic structure of disciplinary research articles

2021 ◽  
Vol 13 (2) ◽  
pp. 193-212
Author(s):  
Hadi Kashiha
Keyword(s):  
Applied Linguistics ◽  
Research Articles ◽  
Discourse Community ◽  
Discourse Communities ◽  
Linguistic Features ◽  
Generic Structure ◽  
Research Article ◽  
The Status ◽  
Novice Writers ◽  
Academic Genre

Abstract Research articles have begun to occupy the status of a prominent academic genre, as publishing one is a significant way to gain credibility and to establish oneself as a researcher among members of a discourse community. One way to distinguish discourse communities is to look at the linguistic features used in the generic structure of their research articles. One of these linguistic features is metadiscourse which deals with the connection between authors, texts and readers. The present study adopted Hyland’s (2005a) model of metadiscourse to compare the use of interactional markers in the moves of 40 research article introductions from Applied Linguistics and Chemistry. Findings indicated some variations in the way that disciplinary authors employed interactional devices in introduction moves. These findings can be discussed in terms of familiarizing novice writers with discipline-specific features of their research article introduction and interpersonality in establishing a link between a text and readers.

scholarly journals Hedging in Popular Scientific Articles on Medicine

2013 ◽  
Vol 59 (2) ◽  
pp. 97-99 ◽  
Author(s):  
Alexandra Csongor ◽  
G Rébék-Nagy
Keyword(s):  
Medical Research ◽  
Scientific Information ◽  
Popular Media ◽  
Research Articles ◽  
Research Papers ◽  
Scientific Text ◽  
Prenatal Vitamins ◽  
Linguistic Strategy ◽  
Lexical Items ◽  
Lay Public

Abstract Introduction: The aim of this study is to investigate the process of rewriting medical research papers for the lay public. The latest findings of medical research often appear in the popular media. It is interesting to see what happens to a scientific text when it is transmitted to a new audience. Hedging is usually interpreted as a characteristic feature of scientific discourse. This study focuses on hedging, which also tends to be applied in popularized articles in the field of medicine. Material and method: Five medical research articles on prenatal vitamins and their online popularizations were examined by means of a text analyzing software, focusing on lexical items considered as hedges. The frequency and the overall percentage of hedging devices with respect to the total number of words were recorded in the five popularizations. Results: The results of the present study suggest that the linguistic strategy of hedging is applied in popular articles. Approximators, auxiliaries, epistemic verbs and adverbs expressing tentativeness, possibility and politeness were used in the corpus. The overall percentage of the lexical items commonly regarded as hedges, with respect to the total number of words, was 1-2.2% in the five articles. The writers also use linguistic techniques that can be interpreted as attribution shields. These defense tools convey the meaning that it is the researcher, rather than the writer, who is responsible for the truth of the information. Conclusions: Hedging as a means of uncertainty and negative politeness technique is used in the popularizations analyzed. The present study should be extended to investigate tendencies in popularization of scientific information.

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