Reviewerly/exHarmony huggingface dataset:
A Discourse Analysis Approach to Email Communication on Ships

Emails have become an inevitable communication tool in a specific profes-sional environment such as a ship. Changes that arose due to data digitaliza-tion, automatization and advances in communication systems have expanded the scope of internal and external ship business correspondence. Neverthe-less, the structure of an email as a genre in seafaring has adapted to generic schemata in online communication and ship-specific communicative stand-ards. Based on the genre analysis theories put forward by Swales and Bhatia, we analyse a corpus of emails collected from five foreign companies (100 pages of text). Then, the collected data were explained and interpreted con-cerning the contextual setting, primarily participants and their role in the giv-en shipboard situation. The findings of this paper have pedagogical implica-tions for creating teaching material for present and future ESP courses and introducing the concept of genre in establishing communication patterns in email correspondence on ships.
Android-Based Introduction to Agricultural Crops and Pests

The number of farmers in Indonesia continues to increase during the pandemic. However, this increase was not accompanied by good literacy related to plants and pests. The main factor is the increasing amount of information that is not credible. This research was conducted to provide alternative solutions for farmers or the community, especially novice farmers in obtaining plant and pest information through an android application. This application was developed using the Kotlin programming language on Android Studio with the Waterfall Development Method. Based on the results of functional testing, the application can run well and pass all test scenarios using the Black Box method and can run on smartphones with Android 5.0 to 9.0 systems, without closing the possibility of a new Android version.
Green Development and Self-Service Payment System of Intelligent Pet Public Toilet Based on Artificial Intelligence

Controversy about pets such as dogs is also growing, and the public health controversy is the most obvious. In order to solve the public health problem of pets outdoors, meet the needs of pet family pets for outdoor hygiene, and make up for the lack of smart pet public toilets in the market and with the development of artificial intelligence technology, the authors propose that “pet toilets” have been put into use in many cities and the emergence of this new thing is mainly aimed at the substantial increase in the number of pets such as dogs in cities, hoping to better solve the problem of pet dogs urinating in public places in the community and provide a more convenient dog service measure for urban residents. Through a questionnaire survey of 100 random volunteers, it was found that 69 people believed that pet toilets were very necessary for society; therefore, from the perspective of artificial intelligence, the development of smart pet toilets and self-service payment systems has been focused on.
Workshop Pengenalan Ajeng (Aplikasi Jangan Menyontek G-Score) Guna Menunjang Pembelajaran Online

AJENG (Application Don't Cheat Using the Method G-Score) is a platform learning with a virtual approach system using a continuous problem analysis system. Not only that, AJENG has developed various kinds of virtual-based learning services such as learning videos delivered directly by experts, online classes, education games to overcome boredom and an online exam platform that is accompanied by AI technology, namely face and sound detection so that it can reduce cheating activities that often occur, and done by each student. The presence of feature helps game this create a more enjoyable learning atmosphere: Learning While Playing. The system of auto play game this uses the Method G-Score, which is the cumulative ability of students using simple number assessments based on game value skills and test results.
SECURING TEXT MESSAGE WITHIN A VIDEO USING LSB STEGANOGRAPHY AND RSA ALGORITHM

The Internet is the media because of which it is feasible to move information from one spot to somewhere else with exceptionally rapid. Be that as it may, it is exceptionally unsafe to move information over the web. Thus to keep up with protection and to keep an unapproved individual from extricating data steganography procedure is utilized. Steganography is the study of hiding restricted data. The restricted data is as text, picture, sound and video. This restricted data can be hiding in the text, picture, sound and video. Hiding privileged intel in a video document is called video steganography. In this task, one of the most outstanding secure steganography procedures (LSB) is introduced. With the development in advanced correspondence advances and the fast development of network transmission capacity, the Internet has ended up being an ordinarily involved channel for sending many reports for example, sound, video, picture, and message in advanced structure. Many practices have been offered and produced for giving the protected transmission of information. The focal point of the ebb and flow research is on the plan of data hiding procedures utilized for sending restricted information where computerized pictures are chosen as the cover-media. This part has distinguished the issues in the present picture steganography plans.
Assessment and Comparison of Meta-features for Educational Chatbots Data and Survey Data

Usage of chatbot platforms is acquiring great attention at all levels of education. Human-chatbot interactions generate huge amounts of data which are a valuable source of information, when properly analyzed by means of data and text mining. One of the most challenging tasks in the mining process is the selection of the appropriate algorithm for a data set at hand. This is a complex task and depends on characteristics of the dataset used in the analysis. Those characteristics are formalized through meta-features. In this paper, we identified meta-features of chatbot and survey data. As a case study, we evaluated two data sets and identified their general meta-features along with discussion. This is, to the best of our knowledge, the first examination of meta-features for chatbot interactions data and their comparison with survey data.
Current Approaches to Organizing the Educational Process in Primary School: a Neuroscientific Approach

The education system in the New Ukrainian School does not meet expectations, and therefore requires reforms and changes, involvement of modern approaches to organization of the educational process. This article analyzes various innovative neuropedagogical, neuropsychological and neurolinguistic techniques, proposed by scientists and educators-innovators and substantiates the importance of their implementation in the primary school learning process. The relevance of the topic is attributable to the need to solve pedagogical problems, using knowledge about individual characteristics of brain activity, higher mental functions and thinking strategies of primary school children. This study allows to make the educational process more effective and to ensure full self-realization of each child, as well as cognitive and personal development of primary school students. The article presents current provisions of research work of primary school teachers and psychologists from the standpoint of related to pedagogy neurosciences, as well as introduction of modern neuropedagogical, neuropsychological and neurolinguistic approaches to the practice of educational process in the New Ukrainian school.
A Contribution to Enhance the Panoramic Image Security via Cryptography and Shuffled Methods

Major changes have been accounted in the field’s of information technology(IT), the information that may in the form of audio, video and text, can be transferred anytime, from source to destination or vice versa that may located in anywhere in the World. The evolutions that have been made in the communication sectors, such wire and wireless networks, brought many merits for the end-users prospects, but at the same time, several vulnerabilities and threads have also been linked simultaneously with, and during the information exchanges. To keep the information secure before transmits from the source and receives at the destination, two generic security solutions are proposed which provide a significance security for the information that being travelled in the unsecure networks. First solution uses the cryptography mechanisms while the second solution employs a novel shuffling method, which deployed to enhance the security of information while travelling to the unsecured networks. In this study, the random sized panoramic images are considered as information that required to be secured over internet.
Disability and Communication

This chapter describes how Disability and Communication research can encourage us to embrace the mortality of our bodies in hopes to recreate a culture that adapts and “flexes” around all bodies for as long as they are here. In particular, I focus on how, how post-2020, the presence of Compulsory Able-Bodiedness and the possibilities for Hyper-Embodied Positioning are easily accessed across dominant cultural discourses and personal lived experience.
Transforming the Business Object Model in a Web Services Model: Evolutionary strategy

This paper specifies how to define the technical and semantic link that allows transform a business object model in a set of Web services. The business object model represents the set of things, entities or resources that handles, generate or consume business processes. A Web services model describes the set of software services that make Web applications integrated and coherent; these applications are necessary to support the implementation of the business processes and contribute to achieving business goals. The proposed transformation strategy makes the specification of technical and semantic relationship between objects and Web services, from two complementary perspectives: (1) refining the organizational task to define technical details, that is, from the business processes level to the technologies level; and then, (2) verify this relationship and semantically validate it in reverse order, i.e., abstracting the support to the business work from the defined Web services. The described specification process is evolutionary as several repetitions of the refinement and abstraction effort is required to achieve a balanced and representative specification of the relationship between business processes and Web services.
Study of Language Models: Evolution &amp; Limitations

We have come far from the days when rule-based language models used to be the predominant thing in the market. Machine Learning came into play and changed the Language Model industry. In this paper, we will look at how RNN did a much better task for generating output based on its previous results and then how LSTM fulfilled the memory requirement for RNN. Also, we will take a look at how Transformer is much better than RNN combined with LSTM, which is the state-of-the-art language model on which the two best natural processing models like BERT and GPT3.
Peer review declaration

All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. Type of peer review: Single Anonymous Conference submission management system: Morressier Number of submissions received: 40 Number of submissions sent for review: 40 Number of submissions accepted: 31 Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received × 100): 77.5% Average number of reviews per paper: 2 Total number of reviewers involved: 50 Contact person for queries: Name : Dr. Sarimah Surianshah Affiliation : Faculty of Science &amp; Natural Resources, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia. Email : sarimah.surianshah@ums.edu.my
The New Theatre of the New Artists Group and the Russian Avant-Garde

The multimedia practice of the Russian Avant-Garde, in which theatrical art is inseparable from literary, visual and musical art, found its continuation half a century later in the work of the New Artists group, founded by Timur Novikov in 1982 in Leningrad. This article is the first study of the so-called New Theatre of the New Artists, which is associated with the following happenings or performances: The Ballet of the Three Inseparables, Anna Karenina, The Idiot, and their predecessor, the literary-noise action The Medical Concert. The article discusses three elements of the avant-garde theatrical tradition that resonate with the New Theatre: Nikolai Evreinov’s comprehensive concept of the “theatre for oneself”, the musical-spatial theatrical experiments of Mikhail Matyushin and his followers, and the absurdist theatre of Daniil Kharms and OBERIU. The second and third, despite being so dissimilar to each other, share the borderline, where zaum (alogism) and absurdism converge. This very convergence creates a dynamic semantic tension that marks the ideas of both D. Kharms and T. Novikov: the tension between an uplifting absurdity, striving for the inexpressible, timeless and universal, and, conversely, a lowering, destructive absurdity. It is obvious that the distinction between the two types of absurdism is a fundamental problem of ontology not only of the Russian Avant-Garde. The New Theatre can be considered as a seismic activity that lasted for about three years at the borderline area of the avant-garde art that worked its way from Symbolism through Expressionism to Dadaism and Surrealism. On this borderline, creativity manifests itself as an impersonal or other-than-personal process that establishes a connection of a person with the rhythms of the world or, on the contrary, illustrates disintegration, deconstruction and the reassembly of society. The New Theatre that established in the Leningrad underground was not an imitation of the avant-garde practices but their rebirth, which proves that this form of creativity is organic for the culture of St. Petersburg.
Fast Nearest Neighbor Machine Translation

Though nearest neighbor Machine Translation ($k$NN-MT) \citep{khandelwal2020nearest} has proved to introduce significant performance boosts over standard neural MT systems, it is prohibitively slow since it uses the entire reference corpus as the datastore for the nearest neighbor search. This means each step for each beam in the beam search has to search over the entire reference corpus. $k$NN-MT is thus two-orders slower than vanilla MT models, making it hard to be applied to real-world applications, especially online services. In this work, we propose Fast $k$NN-MT to address this issue. Fast $k$NN-MT constructs a significantly smaller datastore for the nearest neighbor search: for each word in a source sentence, Fast $k$NN-MT first selects its nearest token-level neighbors, which is limited to tokens that are the same as the query token. Then at each decoding step, in contrast to using the entire corpus as the datastore, the search space is limited to target tokens corresponding to the previously selected reference source tokens. This strategy avoids search through the whole datastore for nearest neighbors and drastically improves decoding efficiency. Without loss of performance, Fast $k$NN-MT is two-orders faster than $k$NN-MT, and is only two times slower than the standard NMT model. Fast $k$NN-MT enables the practical use of $k$NN-MT systems in real-world MT applications. The code is available at \url{https://github.com/ShannonAI/fast-knn-nmt}
The adaptation of Javanese Weton on new media for matchmaking applications

Javanese Weton is a particular calculation used for mate selection based on numerical values in Javanese customs or traditions.As local wisdom, Javanese Weton needs to be preserved because it reflects the Javanese way of life regarding the relationship between humans and natural phenomena with all their regularities.However, the rapid development of technology is unavoidable and causes changes in social behavior.Hence, this study aims at Javanese Weton in the possibility of developing a matchmaking application, not only easy to use by anyone but also creates a new medium that is invasive, likable, and helps create understanding and interest in Javanese culture of global audiences.This study uses a qualitative descriptive methodology with an emphasis on interviews and social phenomena.This research is expected to maintain Javanese Weton following the laws governing, maintaining, and promoting traditional culture in Indonesia.
On the Impact of Spurious Correlation for Out-of-distribution Detection

Modern neural networks can assign high confidence to inputs drawn from outside the training distribution, posing threats to models in real-world deployments. While much research attention has been placed on designing new out-of-distribution (OOD) detection methods, the precise definition of OOD is often left in vagueness and falls short of the desired notion of OOD in reality. In this paper, we present a new formalization and model the data shifts by taking into account both the invariant and environmental (spurious) features. Under such formalization, we systematically investigate how spurious correlation in the training set impacts OOD detection. Our results suggest that the detection performance is severely worsened when the correlation between spurious features and labels is increased in the training set. We further show insights on detection methods that are more effective in reducing the impact of spurious correlation and provide theoretical analysis on why reliance on environmental features leads to high OOD detection error. Our work aims to facilitate a better understanding of OOD samples and their formalization, as well as the exploration of methods that enhance OOD detection.
Growing pains of a data repository: GRIIDC's evolution from environmental disaster rapid response to promoting FAIR data

GRIIDC is a multidisciplinary data repository created in the aftermath of the Deepwater Horizon oil spill. Development of the repository occurred even as researchers collected post-spill data, and as a result, the data management system initially focused on the ingestion of data and metadata. Data sharing was not as prevalent as it is currently, and many researchers were not familiar with data sharing and data organization best practices. Implementation of data management planning, submission, citation, and distribution features required many iterations and occurred while GRIIDC was assisting researchers with managing their rapid response data. From this challenging beginning, over the decade since the Deepwater Horizon oil spill, GRIIDC has improved the data management system and the training of researchers, which has enhanced the ease of submission and quality of data submitted. The GRIIDC system has also evolved to prioritize the implementation of FAIR data principles to ensure the data are findable, accessible, interoperable, and reusable. All data are issued digital object identifiers (DOIs) through DataCite and are findable via GRIIDC's data search page, DataONE, and Google Dataset Search. Each dataset has a landing page where the data and metadata can be accessed. GRIIDC is continuously striving to add FAIR principles to the system. Although there are still many challenges including quality of data and metadata received, funding limitations, and program priorities, GRIIDC must always continue to improve its ability to meet user needs while implementing FAIR data principles.
Soul in Vedanta Metaphysics and Emersonian Philosophy

Vedanta philosophy, as the foundation of Hindu philosophy, has talked much about the existence and role of Atma in life in depth, and Atma’s relationship to Paramatma as the unity of the worldly living beings and the absolute, Brahma. This notion deals with the idea that Atma is immortal and unchanged, but it undergoes transformation from body to body. The western Christian philosophy also has the notion of Atma with the name "the soul," but Christian philosophy gives the message of the changeability of the soul. Being brought up in Christian culture and tradition, Emerson focuses on the soul's spirituality in his writings and develops the theory of transcendentalism, but as influenced by Vedantic philosophy, his concept of the soul departs from pure Christian tradition and gets linked with the Vedantic concept of Atma and Paramatma. This study examines how Vedanta metaphysics and Emersonian transcendentalism share common ground in the perception of Atma and Paramatma, and finds the connection between Vedantic metaphysical notion of the soul as Atma and Paramatma and American transcendental view of the soul and the Over-soul proposed in Emerson’s writings. This study is significant to make a meaningful connection between the Eastern Vedic viewpoints with the Western viewpoints in the mode of philosophical understanding.
ANN-Based Large-Scale Cooperative Solar Generation Forecasting

In this work we introduce the concept and method of so-called cooperative solar generation forecasting, where geographically close data sources are utilized in order to improve forecasting accuracy. We devised and examined various largescale one-hour-ahead artificial neural networks based solar generation forecasting scenarios to prove the benefits of cooperation. The introduced cooperative solar generation forecasting method showed significant improvement in forecasting accuracy, especially when combined with previous generation data, where a root mean square error reduction of at least 50% could be achieved in the majority of cases. We believe these results point to a scientific and economical benefit of international cooperation in solar generation forecasting.
On the Energy or Power Efficiency of a Linear System

A linear time-invariant (LTI) system is usually characterized by its gains, which are ratios of various output and input signal magnitudes. When the main function of the system is energy conversion, one is more interested in the power or energy gain or loss between input and output terminals. Such a "gain" represents the efficiency of the system as an energy conversion device. In this paper, we show that the power or energy "gain" of an LTI system can be determined as a nonlinear function of three signal gains of the system. This results in an explicit formula for the power (energy) gain in terms of the system parameters. This can then be optimized over the design parameters to maximize the gain and thus the system energy efficiency. A detailed DC circuit example is included for illustration. The energy efficiency of an LTI system operating in a steady state in response to a sinusoidal signal is also determined.
Transfer learning based on semantic approximation techniques in genetic programming

Transfer learning aims to reuse the knowledge taken from different but related source domains to enhance learning performance on target domains. In Genetic Programming (GP), transfer learning methods have helped GP systems expand their applicability in real applications. In this work, two transfer learning methods based on semantic approximation techniques (SAT) for GP are proposed. The proposed methods use the best individuals in the final generation of the source task as transfer material to the target task. Before transferring, SAT is applied on these individuals in order to simultaneously satisfy two objectives of reducing the size of the transferred individuals and preserving the knowledge of them. The methods are tested on ten symbolic regression datasets and compared with GP without transfer learning and two GP transfer learning methods. Experimental results showed that the proposed methods could effectively extract more useful knowledge from source domains to help to improve the performance of GP systems on the target domains.