Reviewerly/exHarmony huggingface dataset:
LOGICO-SEMANTIC RELATIONS OF RAJA PARHATA UTTERANCES IN SAUR MATUA CEREMONY

This study aimed to identify the types of logico-semantic relations and the use of logico-semantic relations of Raja Parhata in the Saur Matua ceremony. This study was conducted by applying the descriptive qualitative method by Flick (2009). The source of data was Raja Parhata in the Saur Matua ceremony. The result of this research was types of logico-semantic relations can be found in Raja Parhata are paratactic elaboration (44,28%), paratactic enhancement (21,42%), hypotactic elaboration (7,14%), paratactic extension (11,42%), hypotactic enhancement (12,85%), hypotactic extension (2,85%). Moreover, the realization of logico-semantic relations in Raja Parhata’s utterances mostly appears by using conjunction jadi (so), molo (if), and holani (that all), adverbial clause dungi (after that), verb baen (play), and preposition tu (to).
AN ANALYSIS OF CODE SWITCHING IN STUDENTS’ SPEAKING TEST AS ENGLISH FOREIGN LANGUAGE LEARNERS

This research aims at finding out types of code switching occurred in students’speaking test of EFL learner, the percentage of each type, and finding out the students’reasons in switching their language.Threetypes of code switching proposed by Poplack (1980); intra-sentential switching, inter-sentential switching, and tag switching were analyzed in this descriptive qualitative study. There was one class as the sample of this research. After gaining the data, the researcher categorized the data based on three types of code switching mentioned above. The result revealed that all three types of code switching appears in the students’ speaking. The first type, intra - sentential switching, it tends to be the main type of switching (69.49%), followed by intra-sentential switching (27.12%). Different from those two types, tag switching seems to occur the least frequent type of switching that appeared in the comments (3.39%). Then, the researcher also classified the data into seven reasons in doing code switching according to Hoffman (1991). There are still some other reasons found by the researcher in conducting the research.
Identifying and providing museum services for ubiquitous visitors

Recent technological advancements have enabled personalised services for the museum ubiquitous visitors. Museum ubiquitous visitors are the visitors who are free to access required services anywhere, any time through any possible devices without making explicit requests. In this work, we propose the system of identifying and providing museum services to cater to the individual requirements of the ubiquitous visitors. The system is designed to provide exhibit information museum services to the ubiquitous visitors. The proposed system employs the ubiquitous visitor model and automatically identifies the required exhibit information URL for the ubiquitous visitors. Further, from the identified URL, based upon the dynamic requirements of the ubiquitous visitors, the system provides tailored exhibit information to the visitors. The simulation results show that the proposed system, using the ubiquitous visitor model, significantly reduces the time to identify and provide required exhibit information museum services for the ubiquitous visitors.
On semantic and semiotic multilingualism in earlier and latest works of Sabira Ståhlberg and Tzveta Sofronieva

The present study describes the poetics of two contemporary multilingual writers, one born in Finland (Sabira Ståhlberg) and one in Bulgaria (Tzveta Sofronieva). Besides being prolific writers in literary genres such as poetry, prose, drama, both also translate and edit world literature. Early in their career each of them achieved a PhD. Sofronieva and Ståhlberg carry out academic activities through their research studies. After visiting a multitude of places, they have become not only literary figures of both their birth countries’ literature and the literatures of several other countries, but real literary citizens of the ‘new’ world literature (McDougall, 2014). Their philosophical and ecological aestheticism voices the most urgent problems of humanity by incorporating the latest insights of brain studies, quantum physics, psychology, migration and cultural studies. Their oeuvre addresses any reader irrespective of language(s), background(s), and location(s). After looking into the monolingually multilingual (using hidden code-switching) as well as multigraphic and multilingual (using overt code switching) artistic production of Sofronieva and Ståhlberg, this study compares two poems, one by each of them, sharing the common metaphor of the sea horse. The aim of this comparative study is to point out how their highly topical poetries activate the multilinguality of any reader, as well as how the linguistic, alphabetic code-switching and shifts of interpretation paradigms loosen formal and conceptual borders. By their act, the reader is empowered to take part in not only piecing together but creating a better ‘new’ world.
Introduction to Augmented Reality

This chapter will focus on what Augmented Reality is, the evolution of the technology, and its different applications.
SiPOS: A Benchmark Dataset for Sindhi Part-of-Speech Tagging

In this paper, we introduce the SiPOS dataset for part-of-speech tagging in the low-resource Sindhi language with quality baselines.The dataset consists of more than 293K tokens annotated with sixteen universal part-of-speech categories.Two experienced native annotators annotated the SiPOS using the Doccano text annotation tool with an inter-annotation agreement of 0.872.We exploit the conditional random field, the popular bidirectional long-short-term memory neural model, and self-attention mechanism with various settings to evaluate the proposed dataset.Besides pre-trained GloVe and fastText representation, the character-level representations are incorporated to extract character-level information using the bidirectional long-short-term memory encoder.The high accuracy of 96.25% is achieved with the task-specific joint wordlevel and character-level representations.The SiPOS dataset is likely to be a significant resource for the low-resource Sindhi language.
Bayesian Probability

In the previous chapter, we discussed independent events. Independent events are events probability that does not depend on the occurrence of some other events. If we toss a fair coin, the probability of heads and tails does not depend on the results of the previous flips of the coin. Thus, a coin tossing is an independent event.
A corpus-based comparative analysis of elementary school English textbooks in South Korea and China

The present study aims to provide implications applicable to Korean English education by comparing Korean and Chinese elementary school English textbooks. Five types of Korean elementary school English textbooks and three types of Chinese elementary school English textbooks for 6th grade were constructed as a corpus. To find out how Korean and Chinese elementary English textbooks differs from English corpus, the Corpus of Contemporary American English (COCA) and The Child Language Data Exchange System (CHILDES) were selected. The study results are as follows. First, in terms of vocabulary characteristics, Chinese textbooks had higher lexical diversity and used more familiar, concrete and emotional vocabulary. Second, in terms of sentence and discourse characteristics, as the esult of the average sentence length, syntactic complexity of the sentence, readability index, cohesion analysis, text difficulty of Chinese textbooks was higher. Third, although the high-frequency vocabulary of Korean and Chinese English textbooks was generally similar, there was a difference in that first and second person pronouns are used more frequently and the conjunction ‘and’ is used less frequently in Korean textbooks. As a result of comparison with the English corpus, the high-frequency vocabulary of Korean and Chinese textbooks was more similar to the children’s corpus rather than the general corpus.
Interval‐specific likelihood ratios for improving differential diagnosis of Alzheimer’s disease using biomarkers in cerebrospinal fluid

Abstract Background Single cutoff values are currently applied to interpret Alzheimer biomarker results. Yet these cutoffs are not uniform among centers, nor highly specific to discriminate AD from other disorders. We examined if the likelihood of AD was higher when biomarker levels deviated more from normal levels. For this purpose, we constructed interval‐specific likelihood ratios (LRs) for CSF biomarkers amyloid Aβ1‐42, total Tau protein (tTau) and hyperphosphorylated Tau protein (pTau181). Method This retrospective single center study included 208 patients who 1) attended the Neurology Memory Clinic of the University Hospital Leuven in the period of September 2011 till July 2017, 2) underwent CSF AD biomarkers assessment in the diagnostic workup (Innotest, Fujirebio) and 3) had a stable clinical diagnosis for at least three years after diagnosis. For each biomarker, we calculated LRs for AD for different test result intervals, based on 2 methods, including intervals with boundaries equal to limited multiples of previously published cutoff values (method 1), or to generate intervals well distributed over the entire dynamic range of biomarker levels (method 2). In a graphical representation, post‐test probability of AD was related to pre‐test probability and test result interval for each biomarker. Result Both methods for constructing intervals showed that for any of the biomarkers the LR increased significantly once deviating from normal values. Further dividing these aberrant levels into additional intervals (method 2) further increased the LR. Further dividing normal levels into more intervals did further decrease the LR, except for Aβ1‐42. No LRs &gt; 10 or &lt; 0.1, suggesting clinically meaningful differences between pre‐test and post‐test probability, were encountered. LRs between 0.1 – 0.2 or 5 – 10, suggestive of modest clinical differences, were seen for normal Aβ1‐42 levels (800 – 1,000 pg/mL; LR = 0.168), and aberrant tTau levels (≥ 1,000 pg/mL; LR = 5.540) and pTau181 levels (≥ 80 pg/mL; LR between 5.936 and 7.420). Conclusion The likelihood of AD changed as CSF levels of AD biomarkers deviated more outspoken from normal range, yet related to a modest clinical significance given the partial overlap between AD and non‐AD of biomarker values that deviated from normal values.
The Discrete Fourier Transform

A concise introduction to geophysical data processing - many of the techniques associated with the general field of time series analysis - for advanced students, researchers, and professionals. The textbook begins with calculus before transitioning to discrete time series via the sampling theorem, aliasing, use of complex sinusoids, development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and descriptions. Aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics, this textbook draws scenarios and datasets from across the world of geophysics, and shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises (using MATLAB or similar computing environment). Online supplementary resources include datasets for students, and a solutions manual and all the figures from the book as PowerPoints for course instructors.
Specification A Model for Study of Perceived Usefulness

The review and discussion of harassment on the Internet was the objective of this work. A documentary study was carried out with an intentional selection of sources indexed to repositories such as Dialnet, Latindex, Publindex, Redalyc and Scielo, considering the period from 2010 to 2019, as well as the keywords.
Health Monitoring System Using IoT

Abstract: Health on of the key aspects of any human’s life and one needs to keep up good health to make progress in life. We see most of the people facing health issues during different times during their life and it is their first job as an individual to keep up their health. As weare already seeing the novel coronavirus has devastated the world for the past few months and continues to do so. We see many cases like people living in distant villages and towns where there are no proper medical facilities to have a health check-up once in a while, they need to travel long distances to get a basic health checkup done. Especially the old people who cannot travel much due to their age. A human's health can be carefully monitored and a reasonable outcome can be predicted to avoid unfortunate deaths or misfortunate occurrences by measuring temperature, sp02, or pulse and Strain upon the muscles. These factors are being collected by various devices, but have never been classified and carefully monitored for anomalies. So this system is the best option to counter the situation as it collects data and stores it in the webserver and also gives alerts. Keywords: Health, Sensors, Internet of things
cadium–helium laser

Citation: 'cadium–helium laser' in the IUPAC Compendium of Chemical Terminology, 3rd ed.; International Union of Pure and Applied Chemistry; 2006. Online version 3.0.1, 2019. 10.1351/goldbook.C00768 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms. Requests for commercial usage of the compendium should be directed to IUPAC.
Data ownership in cloud: legal issues

Data in cloud inherently possess the issues of copyright, confidentiality, and contract in a business sense as cloud consumers may store their data on their third party contractor's virtual servers, but may lose their rights to the data. The ownership issue of data in cloud has been one of the most complicated ones among the issues (Al-Issa et al., 2019). Hence, it is worth examining the data ownership issue in cloud. To conduct the examination, this research study applies a risk management concept to develop a structured approach and use it to study the issue. In addition, this research study develops the risk mitigation strategy framework to organise and better deal with legal matters surrounding data ownership in cloud. This study also reviews the US case of data breaches, which involves cloud services from a perspective of law enforcement as part of risk mitigation strategy.
“An Unusual Case Study of Disguised Signatures Executed Freely by Modifying Characters on Agreement of Sell”

Abstract: Disguised writing is any deliberate attempt to alter one’s handwriting characteristics to prevent recognition. Disguised writings throw several problems for document examiners when dealing with various disputed documents. The handwriting characteristics are subdued in the subconscious mind of an individual thus, cannot be altered or disguised easily. The present write up is to unfold the journey of FDE, examining writings or signatures having wilful modification for the purpose of concealing his/her identity. In this case, a person attempts to disguise his signatures on agreement of sell with an intention of denying the signatures at a laterstage. Keywords: Disguised writing, handwriting characteristics, signatures, freely executed, modification etc.
The Effect of Hybrid Training Combined with On demand Classes

One aspect of life hit hard by the COVD-19 pandemic in 2020 was education in general and, in this case, actual ship training. The same is true for anchoring training, implemented annually as part of maritime training. Therefore, to conduct ship training effectively and briefly, this study advocates hybrid training, that is, shortened practical training combined with on demand video learning materials created and distributed to students in advance.&#x0D; Group work on ship handling planning that lasts for three to six hours is normally conducted annually in traditional classes. However, because of the pandemic, the allotted time for group work was reduced to approximately 1.5 hours. Therefore, in 2020, we conducted hybrid training, that is, anchoring training that included on demand video learning materials. Compared to students’ 66.3% average achievement rate in 2018 and 2019, the average in 2020 was 78.3%. ‘Anchoring procedure’ and ‘altering course’ items showed a particularly large gap in evaluation. The following were effects of hybrid training:&#x0D; (1) Videos that can be watched in advance can also be viewed repeatedly at one’s own pace.&#x0D; (2) The capacity to watch videos via smart phones provides students with better access.&#x0D; (3) As videos can be watched in advance, students become familiar with concepts before training, thus leading to better understanding of the training’s content and purpose.&#x0D; These results demonstrated hybrid training’s effect when practical training is combined with on demand materials.
Group Discussion Analysis and Digression Intervention

It is in common knowledge that reading is one of the richest sources of knowledge in this world.Reading empowers you with the light that leads you through the dark.Therefore, we attempt to promote this valuable skill with this study.In this paper, a platform is developed that facilitates the exchange of thoughts and information among students.We have leveraged NLP to develop this application and categorize texts into various categories.Further, various text classification methods are introduced to derive meaningful insights from written communication among students regarding books.We go on to apply the information drawn from text classification to a technology that engages readers through interactive games and discussions, IMapbook.The conversational text acquired through these discussions is further classified into various categories based on the context.Here, we aim to build a classifier that can predict these categories.Our study shows that the fine-tuned BERT, outperforms all the other methods used in this research.
Implementation and Evaluation of a System for Robot Teaching Support Using an Optical See-Through AR Device

In this work, we implemented and evaluated a system for robot teaching support using an optical see-through AR (Augmented Reality) device. The system supports an operator wearing an AR device during robot teaching by making some information on the robot visible. The information includes work area, joints limitations, joints angles and demand time for movement between two poses of the robot. Because of using optical see-through displays, during robot teaching with this system, operators can see the robot with their naked eyes. For persons who do not have expert knowledge or skills in robot teaching, robot teaching is hard to perform as efficiently as skillful persons. This is partially due to complex robot kinematics and joint angle limitations. Our system enables operators to perceive them intuitively. A developed prototype is demonstrated, and its performance is evaluated preliminarily.
Least Squares

A concise introduction to geophysical data processing - many of the techniques associated with the general field of time series analysis - for advanced students, researchers, and professionals. The textbook begins with calculus before transitioning to discrete time series via the sampling theorem, aliasing, use of complex sinusoids, development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and descriptions. Aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics, this textbook draws scenarios and datasets from across the world of geophysics, and shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises (using MATLAB or similar computing environment). Online supplementary resources include datasets for students, and a solutions manual and all the figures from the book as PowerPoints for course instructors.
An Introduction to Java and Its History

According to Google Search, at the end of 2020, 9492 companies reportedly use Java in their tech stacks including Google and the company that I, the author of this book, worked for while this book was being written. Even after 25 years, Java continues to be one of the most influential programming languages. It all started in 1990, when an American company that was leading the revolution in computer industry decided to gather its best engineers to design and develop a product that would allow them to become an important player in the new emerging Internet world. Among those engineers was James Arthur Gosling, a Canadian computer scientist who is recognized as the father of the Java programming language. It would take five years of design, programming, and one renaming (from Oak to Java because of trademark issues), but finally on January 23, 1996 Java 1.0 was released for Linux, Solaris, Mac and Windows.
A Differentially Private SVD Recommendation Algorithm with User Tags

With the continuous expansion of Internet commerce and the rapid increase in both amount and types of products, recommendation algorithms play an important role in selecting items of interest to users. Although the classic collaborative filtering recommendation algorithms are simple in principle and has low time complexity, it fails to make full use of the user tags generated by users, which may contain implicit user preferences, resulting in low prediction accuracy and cold start problems. Besides, the classic collaborative filtering algorithms don’t take privacy disclosure issues into consideration, and may expose user preferences during the recommendation process. In order to solve the above problems, a recommendation algorithm named DP-SRAUT (Differentially Private SVD Recommendation Algorithm with User Tags) is presented in the paper. The DP-SRAUT algorithm firstly pre-processes the user's evaluation tag set of items, then generates the users’ semantic preference matrix for items, and the biased SVD approach is used for prediction and item recommendation with the integration of the users’ semantic preference matrix. To preserving user privacy, Laplace noise is added during the training process to meet ε -difference privacy. Experiment results on the Movielens dataset show that the proposed algorithm achieves better accuracy in condition of keeping user privacy.
SPORTSARE KEEPING USALIVE- BUT HOWARE THEY KEEPING ALIVE? .

Though India boasts to be the inventor of multiple sports like Kho-Kho, Kabaddi, Ludo, Chess and even Badminton, the game of Cricket has a much larger market share within the country.The latest take on the game "The Indian Premier League" or IPL itself is estimated to be $862.5 million worth in the Cricket industry which is almost 75% of the total Cricket revenue of $1.9 billion within the country.The sport accounts for 85% of the total sports earnings within the country, being the highest contributor of review putting Football and Kabaddi.The IPL, since introduced in 2008, redefined the sports industry within India, introducing the Premier league games format.This helped rejuvenate other smaller sports like Kabaddi, Badminton and Football to formulate their League format games attracting additional earnings via sponsorships, broadcast rights, ticket and merchandise sales.As the Ministry of Home Affairs imposed a nationwide lockdown in India to battle the surging CoronaVirus cases within the country on 24th March 2020.Though the MHA allowed sports events to continue post-May 18th 2020, spectators were not allowed to attend the matches.One of the major consequences of the spread of the coronavirus has been the cancellation or postponement of major sports events which were scheduled to be held in 2020, eg. the I -League (2nd Division Football League of India), firstly postponing their matches, then suspending and finally canceling the tournament for the year.