Reviewerly/exHarmony huggingface dataset:
Ethical violations and the publication of journal articles

There is a high demand for publication in the form of scientific articles in reputable journals in the academic world in Indonesia. Research publication in reputable or accredited national journals is required for graduation from tertiary institutions for master level students.Publication in reputable international journals is also a requirement for doctoral-level students graduation.Â For teaching staff, research publication in the form of peer reviewed journal articles is also a requirement for higher levels in the academic career.Â The increasing demand for scientific publication also reported globally.Â Furthermore, various reported reasons for publication include adding work resumes, for job promotion, obtaining funding grants, competition among colleagues or proving supremacy, and even in some universities, the history ofÂ publications is used as the criteria for determining dissertation internal and external examiners.
A Survey of Estimator Performance in the Tracking of Chaotic Orbits from the Lunar Surface

The present study on orbit determination leverages an optical measurement system based on the lunar south pole with the objective to track a satellite along a periodic, yet dynamically unstable, trajectory in the circular restricted three-body problem. Midway through each scenario, a modest spacecraft maneuver is performed to assess the algorithms’ ability to recover valid estimates. Given a motivation to test the robustness of several filtering schemes, in the first effort of this paper, exact observation sensor conditions and the initial state error are tuned to extreme values, such that few algorithms repeatably obtain a quality result. This process of refining suggests a hierarchy of the more robust approaches. Continuing, the second portion of the work, perhaps of greater interest, is an empirically driven analysis of estimator consistency over stochastically-chosen initial conditions. This Monte Carlo simulation uses a more modest noise configuration to avoid continual divergence for a family of estimators. Results suggest that the two most robust filters of the set investigated include the quadrature and cubature Kalman filters, although more accurate estimates were often achieved by the two nonlinear Gaussian mixtures. The credibilistic approach was prone to degeneracy when the information content was sufficiently diluted. In all, the following filtering algorithms are evaluated: credibilistic Gaussian mixture (using the unscented transform), probabilistic Gaussian sum (unscented transform), cubature Kalman, quadrature Kalman, and unscented Kalman.
Algorithm of Fully Fuzzy Cognitive Map Models

Precision in the real world is covered by imprecision and arithmetic operations serve as the foundations of computation. Since the introduction of Fuzzy Cognitive mapping, the dynamic model used to establish the fuzzy cognitive map, used conventional arithmetic operations on asymmetric fuzzy sets.Therefore, for a cognitive map, to be completely fuzzy, it should incorporate the use of fuzzy arithmetic and fuzzy numbers in describing the concept nodes and the cause-effect lines defining its structure. It then can be stated that the necessary and sufficient condition for a cognitive map to be fully fuzzy is that its dynamic activity or operation, be achieved only through fuzzy mathematics.This paper presents an introductory analysis into the peculiar design of the fully fuzzy structure of the cognitive map.
Optimally Convergent Trajectories for Navigation

This paper investigates optimization-based planning methods for generating trajectories which are robust to state uncertainty in undersensed and underactuated systems. Specifically, these methods are applied to an undersensed robotic hill climbing system. In previous work, divergence metrics based on contraction analysis were used to quantify robustness of a trajectory to state uncertainty in conjunction with a kinodynamic RRT planner to guide the planner towards more convergent directions. Resulting trajectories were sub-optimal or needed to be smoothed prior to implementation. This work proposes an optimization framework to plan optimally robust and smooth trajectories which can also be readily implemented on the robotic hill climbing problem. A new hill climbing controller is also presented which can guarantee for the first time the strongest result of contraction analysis, global asymptotic convergence, where possible. Trajectories created using the new trajectory optimization framework and hill controller are shown to be smoother and more robust than previous methods as well as an asymptotically optimal versions of previous methods.
The Comparative Study on the Priorities of Recruitment Criteria Importance and Readiness as Applicants for Cabin Crew : Focused on National Airlines in Korea

This is the comparative study on the priorities of recruitment criteria importance and readiness for applicants who want to work as cabin crew for national airlines in Korea.BR Two characteristics of the analysis results are as follows. The importance level of all the recruitment criteria that students of the airline service department thought was lower than that of their own readiness level. Although the students recognized that each recruitment criteria were important, they neglected readiness to achieve each recruitment criteria. The results showed that students put more effort in order to develop their competence in the attitude aspect(polite manners, positive mind, bright expression and friendly tone, etc.) than in the knowledge aspect(safety and service professionalism, acquiring airline information, foreign language communication skills, etc.).BR This study provides the practical guidelines to students of the airline service department so that they can achieve their career goals more easily in the face of difficult employment environment. In addition, it is confirmed that the department of airline service can use the analysis results as basic data to develop education and training programs for students.
Practical Applications of Operational Due Diligence on Cryptocurrency and Digital Asset Funds

In <b><i>Operational Due Diligence on Cryptocurrency and Digital Asset Funds</i></b>, published in the Winter 2022 Due Diligence Special Issue of <b><i>The Journal of Alternative Investments</i></b><i>,</i><b>Jason Scharfman</b> of <b>Corgentum Consulting</b> outlines key developments in due diligence practices by limited partners investing in digital asset funds. He first highlights risks that are specific to cryptocurrencies as exemplified by certain fraud cases, the use of the dark web, and ransomware attacks. These issues, coupled with the rapid innovation in the crypto space, demand enhanced operational due diligence. Therefore, one important trend is increased specialization with due diligence questionnaires developed specifically for funds dealing with cryptocurrencies. A second key trend is a focus on custody arrangements, with a strong preference for hosted wallets. A third trend is the declining use of third-party background investigation services and instead combining operational due diligence with investigative due diligence.
Keeping Your PC Updated and Running Smoothly

Nobody likes to have a PC that wants to restart to install updates during the day when you’re in the middle of something. Whatever it is you’re doing, be that shopping, reading, researching for college, working for your employer, or gaming, it’s important and certainly far more important than Windows 11 wanting to “restart out of hours,” see Figure 11-1. If you can manage to do all your tasks during the correct hours, then surely your PC ought to be able to do the same.
Technology or technocracy? For law enforcement, it can be a slippery slope

I will be the first to admit it. I am a self‐professed tech addict when it comes to my professional career and the applications that I find useful in public safety. If you were to ask my colleagues in the IT space, they would probably describe me as savvy enough to understand the culture and processes while talking the proverbial talk, but smart enough (usually) to not get myself into too much trouble.
A Study on the Korean Linguistic Academic Network in the First Half of the 20th Century-Focused on the relationship between Hideo Kobayashi, Sung-nyeong Lee, and Su-kyung Kim-

이 연구는 20세기 전반기 한국어학의 학술 네트워크를 고찰하기 위하여, 경성제국대학 예과와 법문학부에서 스승과 제자 등으로 학술 관계를 형성하며 한국어학에 지대한 영향을 미친 학자들 가운데 ‘고바야시 히데오(小林英夫, 1903~1978)’와 ‘이숭녕(李崇寧, 1908~1994)’, 그리고 ‘김수경(金壽卿, 1918~2000)’을 중심으로 고찰하고자 한다. 고바야시 히데오는 제국 일본의 언어학자로 경성제국대학에 부임하여 소쉬르의 언어학과 같은 서구 언어이론을 소개하는 등 당시의 조선인 제자들에게 많은 영향을 끼친 인물 중의 한 명이었으나, 지금까지 한국어학사에서 크게 주목받지 않았다는 점에서 고찰의 의의가 있다. 그리고 이숭녕과 김수경은 각각 서울대학교와 김일성종합대학교라고 하는 남한과 북한의 최고 대학에서 한국어를 연구하고 제자를 양성하면서 광복 이후 각 체제의 국어 정책에 관여했다는 점에서 이들의 학문적 배경과 영향관계를 고찰할 필요가 있다. 한편 이 연구에서는 고바야시 히데오와 이숭녕 그리고 김수경의 영향관계를 고찰함은 물론, 이들을 중심으로 이루어진 다른 학자와의 영향관계도 함께 고찰하고자 한다. 그것은 이러한 고찰을 통해 이들의 학문적 배경을 좀 더 명확히 알 수 있고, 이들의 학문적 차이를 이해할 수 있기 때문이다. 이 연구를 통해 식민지와 제국, 남북한의 분단이라는 20세기 전반기의 시대 상황과 한국어학을 관련시켜 고찰하는 계기가 되기를 기대한다.This study is to examine the academic network of Korean Linguistics in the first half of the 20th century, focusing on Hideo Kobayashi(1903~1978), Lee Sungnyeong(1908~ 1994), and Kim Sookyung(1918~2000) among scholars who formed academic relations with teachers and students in the Kyungsung Imperial University. Hideo Kobayashi was a linguist of Imperial Japan and was appointed to Kyungsung Imperial University. He was one of the scholars who had a great influence on Korean students at that time, but it is meaningful in that he has not been noticed in Korean linguistics history until now. In this study, I will consider the influence relationship between Hideo Kobayashi, Lee Sung-nyeong and Kim Soo-kyung, as well as the influence relationship with other scholars. This is because these considerations can clarify their academic background and understand their academic differences. Through this study, I hope that this study will be an opportunity to examine the situation of the early 20th century, that is the division, the colonies and the empires, with Korean Linguistics.
Artwork: Performative holography

research-article Artwork: Performative holography: The hologram and the experience with its image Share on Author: Isabel Azevedo University of Aveiro, Portugal University of Aveiro, PortugalSearch about this author Authors Info & Claims ARTECH 2021: 10th International Conference on Digital and Interactive ArtsOctober 2021 Article No.: 123Pages 1–3https://doi.org/10.1145/3483529.3483775Online:20 February 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
Intelligent system for part-of-speech tagging using convolutional neural network on arabic language

Part of speech tagging is the process of assigning the grammar and the morphology of words such as (noun, verb, adjective, article, and preposition... etc.). The principal challenges for this task are: first, the ambiguity (when a word can take several possible tags), and secondly the problem of rare words (in particular, words that did not appear in the training examples). In the past few years, the Neural Part of Speech Tagging has achieved competitive results with the use of deep learning, and this paper aims, thus, to provide an addition to the literature by the usage of Character-Level Convolution networks on Arabic language. We have experimentally implemented our model on the Boundary-Annotated Quran (BAQ) dataset, and we used the augmentation techniques to enhance the accuracy of the 1D convolutional neural network by adding handcrafted features. The results show 1D convolutional neural networks with a handcrafted feature outperformed, where we achieved a training accuracy of 97.04 % where the model without handcrafted features achieved 96.95 %.
Factors Influencing School Administrators’ Responses to the Newly Introduced Online Application System in Ekurhuleni, Gauteng

This study investigated the factors influencing school administrators’ responses to the newly introduced online application system in Ekurhuleni, Gauteng. Governments around the world are adopting the online application system as a method of rolling out applications in schools. Gauteng Department of Education adopted the online application system to overcome problems emanating from the manual application system. The study used the theory of Planned Behaviour as the theoretical framework for the study. A quantitative research approach was implemented to investigate the factors influencing administrators’ responses to the online application system. A total of 40 questionnaires were distributed to 40 administrators from 28 schools in Daveyton (Ekurhuleni Metro, Gauteng), who worked with the online application system. A self-administered standardised questionnaire was used in this study to collect data. The researcher used the Statistical Package for Social Sciences (SPSS) software version 25.0 and SMART PLS 3.0 to analyse data. The findings revealed that the administrators have significant skills, knowledge and experience concerning the OAS, thus, can effectively move around the system with ease. However, the strength of their capabilities determines the extent to which the system will be accepted.
Talk about Talk – From an Urban Space to a Dialect Place – How a Collective Body of Knowledge Influences Communicative Dynamics in Naples

In linguistic research, Naples has been identified as an urban space in which the local dialect is widely spoken. The dialect’s uninterrupted presence, combined with progressive - and now perhaps complete - Italianization, have created complex communicative dynamics that are hard to describe. Consequently, there is a research gap regarding dialect use in verbal interaction within the urban area. In fact, how, by whom and when the dialect is used in this area is the subject of lively debate in linguistic research. It would be impossible to fill this research gap with a single paper, but what can be done is to analyze the processes behind dialect use. An initial approach to understanding the communicative dynamics of Naples thus involves examining why the dialect is used, or rather, why people believe they need to use it. In the present chapter, this is done by analyzing metalinguistic discourses. The aim of this study is to describe the social meaning(s) attributed by the people of Naples to the Neapolitan dialect (or, what they consider to be that dialect). I argue that, in the Neapolitan context, dialect and its use are presumed to fulfil certain specific functions, which are necessary conditions for ‘successful’ social interaction. Further, I claim that dialect use has two effects: it creates identity, and it creates urbanity. The present qualitative case study suggests that the Neapolitan dialect is considered an essential skill - even by non-native dialect speakers. This, in turn, has led to a new form of dialectality in the city of Naples.
Multimodal Social Media Sentiment Analysis Based on Cross-Modal Hierarchical Attention Fusion

With the diversification of data forms on social media, more and more multimodal information mixed with image and text replaces the traditional single text description. Compared with single-modal data, multimodal data can more fully express people’s opinions, and it also contains richer emotional information. Therefore, the task of multimodal sentiment analysis is gradually becoming a hot topic of current research. However, images and texts do not always complement each other in expressing emotional polarity in real social media. Moreover, the contribution of different modal information to the overall emotional polarity is also different. To solve these problems, a multimodal sentiment analysis method (CMHAF) that integrates topic information is proposed. The method first extracts topical information that highly summarizes the comment content from social media texts. Secondly, the current outstanding pre-training models are used to obtain emotional features of various modalities. And then, we propose cross-modal global fusion and cross-modal high-level semantic fusion methods to combine the features of different levels. At last, we conduct extensive experiments on a real Chinese multimodal dataset. The experimental results show that compared with the baseline method, the proposed method has significant improvement in multiple indicators, and can effectively classify the sentiment of multimodal social media reviews.
From Textualism to Hypertextualism

In this chapter, I shall look at the relationship between methodological textualism and eroticism and how this relationship develops in the digital cultureDigital culture, the age of hypertextualism. The starting point is the work of Roland Barthes[aut]Barthes, Roland on the concept of textText and especially The Pleasure of the Text (1973), where we find enough evidence that the attitude of the French semiologist to the textText is fetishistic with explicitly erotic references. Such an attitude is quite representative of the entire era of structuralism and post-structuralism. The era of hypertextHypertexts (and the Internet in general) is changing the culture of textText into new forms of intertextual exchangeExchange where the sensorimotor pleasure itself becomes the object of communicative exchangeExchange. The eroticism of hypertextHypertexts is more explicit than that of textText and takes on countless forms, which are difficult to place within a general model. The last part examines the consequences of hypertextual reality for educational institutions and their role in digital societies.
Regulation: Public, Private, Autonomous?

Deepfakes are described as a dual-use technology by the European Parliamentary Research Service (2021, p. 70), and there is a good reason for seeing them in this way: despite of the benefits they may bring, there are also multiple threats to both individual persons and whole societies. This chapter will focus on three modalities of regulation: law, platform policies, and technological solutions, such as automatic detection. As shown below, current legal regulation is often insufficient or wholly inadequate, meaning that private regulation by online platforms transpires to be the most efficient regulatory measure available. However, such regulation is not uniform in either substance or application. Moreover, it must be stressed that due to the amount of content that has to be dealt with, such regulation can only be effective if it is automated; while such automation has obvious efficiency benefits, as demonstrated, potential vulnerabilities are present as well.
A Pre-requisite for Sustained Economic Growth in India: Securing Property Rights through Blockchain-based Ledger Distribution Technology

India has seen strong economic development in recent years, with the GDP rising 7.6 percent in recent fiscal years. While economic activity is robust, the country is still a long way from recovery. The administration must seize the economic momentum prevailing now and use it to advance its reform programmes. The property market is one of the sectors that need regulatory attention. Despite efforts to modernise the land title system, under the Digital India Land Records Modernization Programme (DILRMP), India's present land title system continues to have flaws. If India wants to become an economic superpower, it would require a standardised property rights framework. To strengthen existing systems, a decentralised, open, and transparent form of record keeping must be implemented, complemented with a legal framework, capable of protecting and enforcing property rights. Blockchain technology may hold the key to resolving the present record-keeping problem. If the government can assist in overcoming technical, institutional, and regulatory impediments, the blockchain land registry, when combined with rigorous titling legislation, may still prove to be the most secure, transparent and efficient means to establish a land records system in India.
Trust and Security Model for the Internet of Things

The Internet of Things (IoT) is now emerging as the essential part of our daily life. A single person has to deal with variety of services through different devices and providers. The rising number of services, providers as well as the devices demand a centralized mechanism which helps the people to effectively manage all their services and devices. We propose a centralized system which facilitates the trust between the user and the service providers by certifying the user against an identity provider. The centralized system acts as an administrative authority for providing the access license, generating encryption keys for secure communication, and managing the devices. The proposed system is flexible and scalable to accommodate the growing demands from the Internet of Things industry.
Propagation Through WWW

The targeted added value was defined as: Computing in the twenty-first century is ubiquitous—computer systems are used daily by the citizens of the EU and USA in mobile devices, GPS systems linked to digital cameras, e-learning platforms, media delivery (e.g., podcasts), workflow management systems, e-government, e-commerce, e-banking as well as more traditional email, messaging and content delivery systems.
Deep Learning Application for Reconstruction of Large-Scale Structure of the Universe

In this study, we propose to analyze astronomical data obtained in line intensity mapping (LIM) observations using machine learning. The LIM is an emerging method to measure large-scale intensity fluctuations of spectral lines emitted from galaxies and intergalactic medium. Observing their large-scale distributions enables us to study cosmology and galaxy formation and evolution. One of the problems with the LIM is observational noises and line interloper. We develop a three-dimensional convolutional neural network (CNN) that removes those contaminants and extract designated signals from noisy three-dimensional data obtained by LIM. Our CNN has an architecture that encourages extracting the long-range correlations in the spectral direction. We train them on mock observation data generated by simulation and find that they can extract multiple emission lines appropriately.
The morphological nature of person-driven auxiliation

This chapter addresses the division of labour between morphology and syntax. The testbed is provided by perfective periphrases showing person-driven auxiliary selection in central–southern Italo-Romance, with forms of HAVE and BE within the same paradigm. Such mixed auxiliation systems have been subjected to alternative analyses: a syntactic analysis, tracing the selection of different auxiliaries in different persons (as well as variation in one and the same person) back to differences in syntactic structure vs morphological analyses claiming that the distribution across persons within the paradigm of one and the same verb lexeme is a matter of inflexional morphology, in the same sense as the selection of a specific personal ending contrasting with those from different inflexional classes. The chapter provides a crucial piece of evidence in support of the latter view drawing on an unusual case of phrase allomorphy in the split auxiliary systems of three dialects of central Apulia.