Reviewerly/exHarmony huggingface dataset:
L2 Processing of English Direct Object and Oblique Relative Clauses

This study examines how second language learners of English process English direct object (DO) and oblique (OBL) RCs. In L1 and L2 processing research, subject and DO RCs are frequently used to test the comprehension and production of complex structures. However, comparing the processing of these two types of RCs is potentially problematic because they differ in terms of typical head noun animacy and canonical word order. In order to eliminate potential effects from these factors, this study instead utilizes DO RCs and OBL RCs to accurately test for an effect of the length between the filler and the gap in sentences involving filler-gap dependencies. The participants were 39 intermediate- and advanced-level L2 English learners. The study's analysis of their comprehension accuracy and reading times resulted in two main findings: (1) the learners comprehended DO RCs more accurately than OBL RCs and (2) they spent much more time reading OBL RCs than DO RCs. These results indicate that, for L2 English learners, DO RCs are less complex and easier to process than OBL RCs. The results support a filler-gap-dependency distance effect; that is, greater length between the filler and the gap increases L2 processing difficulty.
I.M. Kamov - an Enthusiast and an Eminent Personality of Practice-Oriented Education in Irkutsk

The article reconstructs the unknown life and activity facts about Ilya M. Kamov (1873–1942) an eminent personality of practice-oriented education in Irkutsk in the first quarter of the 20th century. The authors focus their attention on the “works and days” of the teacher dedicated to Irkutsk Industrial College and also to the City’s Commercial College and Irkutsk Industrial and Economic Institute founded on the basis of the latter, where he was Director. On the pages of this article, we can see the eminent figure of a real enthusiast oriented at practical professional education. The content of the article is beyond the scope of the historical storyline reconstructed in it. The historical events of secondary and higher professional school are considered in the wider context of the period of the so called “pragmatic” turn in pre- and post-revolutionary Russian education, which meant submission of the country’s educational policy to the needs of modernization and, namely, of industrialization. Even the professional activity of the main character of the article reflects the clear line of institutional thinking of practice-oriented education development of that period from technical education to commercial one with their subsequent amalgamation in the framework of industrial and economic education, on the one hand, and from secondary professional to higher education, on the other hand.
Eye gaze and head gaze in collaborative games

We present an investigation of sharing the focus of visual attention between two players in a collaborative game, so that where one player was looking was visible to the other. The difference between using head-gaze and eye-gaze to estimate the point of regard was studied, the motive being that recording head-gaze is easier and cheaper than eye-gaze. Two experiments are reported, the first investigates the effect of a high immersion presentation of the game in VR Head Mounted Display compared with a lower immersion desktop presentation. The second examines the high immersion condition in more detail. The studies show that in spite of there being many factors that could affect the outcome of a relatively short period of game play, sharing eye-gaze in the high immersion condition produces shorter overall durations and better subjective ratings of team work than does sharing head-gaze. This difference is not apparent in the low immersion condition. The findings are a good argument for exploiting the opportunities for including and using eye tracking within head mounted displays in the context of collaborative games.
English Semantic Analysis Method Based on Bi-LSTM Network

short-paper English Semantic Analysis Method Based on Bi-LSTM Network Share on Authors: Saisai Song Shanghai Institute of Technology, China Shanghai Institute of Technology, ChinaSearch about this author , Yunpeng Zheng Shanghai Institute of Technology, China Shanghai Institute of Technology, ChinaSearch about this author Authors Info & Claims AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced ManufactureOctober 2021 Pages 724–726https://doi.org/10.1145/3495018.3495147Online:14 March 2022Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Galois Fields GF(pn)

After the presentation of the basic algebraic circuits in Chap. 9 and the finite field or Galois field GF(2m) in Chap. 10, this chapter is devoted specifically to the circuits related to the finite fields GF(p) and GF(pm), being p prime, following the same structure of Chap. 10. The theoretical foundations related to the Galois fields, algebra of polynomials and, particularly so now interested, related to GF(p) and to GF(pm) are summarized in Appendices A and B. Therefore, it is advisable to review these Appendices when necessary.
Dealing With Noise and Partial Volume Effects in Alzheimer Disease Brain Tissue Classification by a Fuzzy-Possibilistic Modeling Based on Fuzzy-Genetic Initialization

Segmentation is a key step in brain imaging where clustering techniques are widely used, particularly the fuzzy approach which offers active and robust methods against noise and partial volume effect (PVE). To address those imperfections, this article suggests an automatic segmentation of brain tissues for magnetic resonance and functional images of Alzheimer's patients, based on an efficient and robust genetic-fuzzy-possibilistic clustering scheme for the assessment of white matter, gray matter and cerebrospinal fluid volumes. The proposed hybrid clustering process based on: 1) A fuzzy possibilistic c-means algorithm that models the degree of relationship between each voxel and a given tissue. 2) A fuzzy c-means algorithm to initialize the clusters centers, with subsequent optimization by a genetic algorithm. Each stage of the proposed clustering process is validated on real brain data and synthetic images of an Alzheimer's Disease Neuroimaging Initiative (ADNI) phantom. A performance comparison is made with the usual fuzzy techniques. The visual and quantitative results obtained with the proposed approach using various signal-to-noise ratios prove its effectiveness to quantify the tissue volume of images of different modalities types in the presence of noise and PVE. The effectiveness in terms of computational rate is also demonstrated.
Retraction Note to: Day of the year-based prediction of horizontal global solar radiation by a neural network auto-regressive model

The Editor-in-Chief has retracted this article [1] because validity of the content of this article cannot be verified. This article showed evidence of substantial text overlap (most notably with the articles cited [2, 3]) and authorship manipulation.
Enhancing Professional Learning Through Mobile Devices for Pre-Service Teachers in Remote Communities

This article details the construction of a Grounded Theory to explain the concept of enhancing professional learning through mobile devices. The research data was delimited to the behaviours and beliefs of Aboriginal and Torres Strait Islander pre-service teachers enrolled in two community-based initial teacher education programs in very remote communities in Australia. Four educational uses of mobile devices were identified: accessing content, handling administration, collaborating for academic support and sharing personal encouragement. The use of mobile devices enabled adults to choose times of study, choose places of study, complete assessment relevant to their course and achieve a career goal. Three elements that impact the educational use of mobile devices were identified (i.e. context, precursors and catalyst). Seven categories underlie the concept of enhancing professional learning through mobile devices: fostering access, facilitating customisation, promoting collaboration, supporting relevance, completing the course, empowering agency and enabling networking.
Manna Cipher

This document gives an overview of solving the limitations of cipher text formatting while implementing cryptography techniques on computers.The Manna Cipher uses the numbering system to represent ciphers rather than alphanumeric characters.The aim is to create a ciphering standard which is painstakingly difficult to crack even using the latest super computers.This document will be focusing on the plain text the resultant cipher text and the run time to have a fair idea about the performance.
Critical Video Surveillance and Identification of Human Behavior Analysis of ATM Security Systems

Video surveillance cameras are placed in many places such as bank, hospital, toll gates, airports, etc. To take advantage of the video in real time, a human must monitor the system continuously in order to alert security officers if there is an emergency. Besides, for event detection a person can observe four cameras with good accuracy at a time. Therefore, this requires expensive human resources for real time video surveillance using current technology. The trajectory of one or more targets obtains for object tracking while recording above space and time. By tracking various objects, the burden of detection by human sentinels is greatly alleviated. Efficient and reliable automatic alarm system is useful for many ATM surveillance applications. ATM Video monitoring systems present many challenging research issues in human abnormal behaviors detection approaches. The framework of ATM video surveillance system encompassing various factors, such as image acquisition, background estimation, background subtraction, segmentation, people counting and tracking are briefly discussed in this chapter.
The Ontological Background

Chapter 1 showed that applied ontologyOntologyof geography of geographyApplied ontology of geography includes four different areas of research, namely: IT/computerOntologyIT/computer ontology, philosophicalOntologyphilosophical ontology, empiricalGeographyempirical geography, and academicGeographyacademic geography. In this chapter, we go deep into the analysis of the (kindsKinds of) ontologies behind applied ontologyOntologyof geography of geographyApplied ontology of geography. Sections 2.1–2.3 explores the domain of IT/computer scienceIT/computer science, within which ontologies are generally conceived as explicit specificationsSpecifications of shared conceptualizationsConceptualizations. Sections 2.4 and 2.5 deal with philosophy, more precisely, with the recent proliferation of ontological research in the analytic debate. Finally, Sects. 2.6–2.10 discuss the advancementsAdvancements of ontology of geographyOntologyof geography, that is that part of philosophical ontology mainly focused on: (1) establishing what geographical entitiesEntitiesgeographical exist, (2) developing a theory ofSpatial representation spatial representationRepresentations, and (3) explaining how the geographic descriptions of realityReality emerging from common senseCommon sense can be combined with those derived from academicGeographyacademic geography. This preliminary analysis is meant to provide a helpful framework showing the importance of geographical common-sense conceptualizationsConceptualizations and defining how non-expertNon-experts subjectsSubjects conceptualize geospatial phenomena in response to a series of different geographical phrased elicitations.
Factors Comprising Effective Risk Communication, Decision-Making, and Measurement of IT and IA Risk

This article focuses on factors that comprise effective risk communication, decision-making, and measurement of information technology (IT)/ information assurance (IA) risk. A review of the extant literature provided the basis for the formulation of research questions. The sample population consisted of senior IT/IA practitioners from Florida chapters of information security professional organizations. Results of this study found that decision making, and measurement are all factors in effective risk communication of IT/IA risk to non-IT personnel. This research has implications for both IT/IA practitioners and recipients of risk communication through the identification of factors which influence IT/IA professionals in how and why IT/IA risk communication take place, and consequently, how to simplify and improve its effectiveness.
Images of Roman Imperial Denarii: A Curated Data Set for the Evaluation of Computer Vision Algorithms Applied to Ancient Numismatics, and an Overview of Challenges in the Field

Automatic ancient Roman coin analysis only recently emerged as a topic of computer science research. Nevertheless, owing to its ever-increasing popularity, the field is already reaching a certain degree of maturity, as witnessed by a substantial publication output in the last decade. At the same time, it is becoming evident that research progress is being limited by a somewhat veering direction of effort and the lack of a coherent framework which facilitates the acquisition and dissemination of robust, repeatable, and rigorous evidence. Thus, in the present article, we seek to address several associated challenges. To start with, (i) we provide a first overview and discussion of different challenges in the field, some of which have been scarcely investigated to date, and others which have hitherto been unrecognized and unaddressed. Secondly, (ii) we introduce the first data set, carefully curated and collected for the purpose of facilitating methodological evaluation of algorithms and, specifically, the effects of coin preservation grades on the performance of automatic methods. Indeed, until now, only one published work at all recognized the need for this kind of analysis, which, to any numismatist, would be a trivially obvious fact. We also discuss a wide range of considerations which had to be taken into account in collecting this corpus, explain our decisions, and describe its content in detail. Briefly, the data set comprises 100 different coin issues, all with multiple examples in Fine, Very Fine, and Extremely Fine conditions, giving a total of over 650 different specimens. These correspond to 44 issuing authorities and span the time period of approximately 300 years (from 27 BC until 244 AD). In summary, the present article should be an invaluable resource to researchers in the field, and we encourage the community to adopt the collected corpus, freely available for research purposes, as a standard evaluation benchmark.
E-commerce

The enhanced role of Information and Communication Technology (ICT) in everyday human life and the urge of e-commerce applications have given birth to various cyber threats and attacks on them. Sensitive data from 65 organizations all over the world was compromised. This year Verizon 2017 Data Breach Investigations Report includes analysis on 42,068 incidents and 1935 breaches from 84 countries (Verizon 2017). In today’s era of Digital world, the use of Internet is very common so as the use of it for online shopping (E-shopping). Nowadays, maximum customers are using online shopping due to its advantages over traditional physical shopping such as low-cost, real-time, interactive, and personalized, cross domain, etc. Due to the use of online shopping, human life has become easier with the good virtual experience. The percentage of customers using the E-shopping is increasing rapidly because it is fast, efficient and which is of economic advantage too. The consumer’s interest in the adaptation of E-commerce affected by three factors which are consumer attitude towards online transaction systems, Security and the last is trust in the reliability of online product suppliers. Debit or Credit card fraud and personal information security are major concerns for customers and merchants.
Cryptocurrencies

A cryptocurrency is a digital asset designed to serve as a medium of exchange that should be an alternative to the classic fiat currency. The idea of bringing money from the physical to the digital realm has been investigated since the 1980s, with many attempts to create digital cash systems. Over the years, several researchers have tried to implement an electronic currency disconnected from the banking system, but none of these projects have been successful until 2008. In that year, an anonymous researcher (or a group of people) known under the pseudonym of Satoshi Nakamoto published a whitepaper that describes a peer-to-peer electronic cash system—called Bitcoin—completely independent from the traditional banking system.
Secure data deletion in cloud storage: a survey

With the rapid development of cloud computing, individual people, firms, industries and governments are moving their data to clouds to meet the data explosion challenge. Secure data deletion is becoming a hot issue in cloud storage research. Different from traditional data deletion, the securely deleted data should be non-recoverable. In this paper, we present a survey of current secure data deletion technologies and make comparisons of them for both private cloud storage and public cloud storage. For private cloud storage, we introduce two main deletion methods: physical destruction and disk replication. For public cloud storage, we analyse the existing deletion methods such as balanced-tree-based, trusted-third-parties-based, policy-based secure data deletion methods and so on, in accordance with the two aspects of verifiable secure data deletion and verifiable non-recoverability of data. Finally, we analyse the deficiencies among current researches and propose some future directions for improvement in secure data deletion.
Pemanfaatan Ikan Asin Dalam Pembelajaran Bahasa Indonesia Di SD/MI

The low ability of students to write sentences in Indonesia language learning is the background of this research. Salted fish learning resources are used to develop students’ writing sentence skills. Salted fish as part of local wisdom is an important given to the education. This study aims to examine the effectiveness of the use salted fish learning resources to make sentences in Indonesian language learning. The study was conducted in class III SDN Tambakreja 02 Cilacap with 25 students, consisting of 12 male and 13 female students. Data collection techniques were observation, interview and documentation. The collected data were analyzed using qualitative analysis techniques. The result of the study prove that salted fish learning resources are effective in developing students’ writing abilities. High student enthusiasm, seen from a pleasant atmosphere and student activity in the learning process. The percentage of students who score above KKM is 92% of 25 students.
Assessing the Impact of the Retail Service Quality and In-Store Logistics on Customer Satisfaction and Loyalty

Measuring the service quality in the traditional markets to be very interesting, especially linked to in-store logistics, satisfaction and loyalty of traditional markets customer. The aim of this paper is to analyze the influence of retail service quality and in-store logistics, towards both custome
Discourse annotation in the MULTINOT corpus

This chapter summarises and discusses recent work on the development of a bilingual (English-Spanish) corpus consisting of original comparable and parallel texts from a variety of genres and annotated with complex linguistic features such as modality and evidentiality, metadiscourse markers, and thematization, as carried out within the framework of the MULTINOT project. The annotation of these complex features in bilingual parallel texts poses important challenges for the researcher at the different stages of the corpus development, from the preprocessing phases to the manual annotation phase, but, at the same time, it allows the investigation of complex linguistic research questions which could not be addressed on the basis of raw corpora or even with the help of an automatic part-of-speech tagging system.
Pengaruh Strategi Belajar Reading Guide terhadap Daya Baca Siswa pada Mata Pelajaran Akidah Akhlak

This study examines three things, first; How is the implementation of the reading guide learning strategy for class VII with Akidah Akhlak subjects at MTs An-Nadia, Kwala Serapuh village, Langkat Regency. Second; How is the reading ability of class VII students in the Akidah Akhlak subject at MTs An-Nadia, Kwala Serapuh village, Langkat Regency. Third; Is there an effect of reading guide learning strategies on the reading power of seventh grade students in Akidah Akhlak subjects at MTs An-Nadia, Kwala Serapuh village, Langkat Regency. This study uses a quantitative method, by taking a sample of 17 students. While the questionnaire for each variable amounted to 12 questions, with product moment research analysis. The results of this study indicate that the implementation of the reading guide strategy for class VII students in the Akidah Akhlak subject at MTs An-Nadia, Kwala Serapuh village, Langkat Regency is in good classification, with the percentage of respondents' answers being 65.5%. The reading ability of class VII students in the Akidah Akhlak subject at MTs An-Nadia, Kwala Serapuh village, Langkat Regency is in the medium classification, with the percentage of respondents' answers being 62.25%. The application of the reading guide learning strategy has a positive effect on the reading power of seventh grade students in the Akidah Akhlak subject at MTs An-Nadia, Kwala Serapuh village, Langkat Regency with a low correlation of 0.258. To teachers of moral creed at MTs An-Nadia, Kwala Serapuh village, Langkat Regency, to carry out teacher duties more professionally by increasing creativity in teaching so that student learning achievement can be further improved, among others, by showing an increase in the use of learning strategies and student questions and answers in the learning process.
Secured Cloud Computing Model Using Cryptographic Techniques and Its Comparative Analysis Using Semantics and Task Scheduling

Business derives technology and technology enables Business” and the best and live example to prove the above technology is cloud computing and cryptography. As we all know from last one decade everything has changed the markets have transformed to e-market and from cash transactions we have switched over to e-wallet and online transactions but as these resources and technologies evolves they brings some drastic changes within them. Space and security are the two major concerns where space means the networks, storages, database and applications where security includes security of data and records in every sense Cloud computing resolves the problem of space as it provides space and access to networks, applications. Whereas cryptography ensures the security of data. In this research paper we are going to discuss that how cloud computing and Elliptic Curve Cryptography (ECC) when combined together makes it more easy safe and secure for user. Semantic Computing is an extension of Semantic Web. It connects and combines technologies such as software engineering, user interface, programming language, grid computing and pervasive computing, natural language processing, artificial intelligence, among others, into a complete and unified theme.