Reviewerly/exHarmony huggingface dataset:
Synthesis of Blockchain, Artificial Intelligence and Internet of Things

This paper is an exploration of several theories on the synthesis of the Blockchain(BC), the Internet of Things (IoT), and Artificial Intelligence(AI) through a literature review. Blockchain technology is a decentralized peer-to-peer network that stores records and transactions in immutable blocks secured by cryptography. The decentralization aspect of blockchain eliminates the need for trusted third party interceder. Internet of Things(IoT) is an interrelated computer system that makes a connection between computers and humans to communicate in several areas; smart devices like homes, cars, radio are just a few examples. IoT challenges are security, connectivity, issues with the analysis of big data, centralization, and vulnerability to attacks. Artificial Intelligence(AI) machine learning technology is the advanced decision-making process that influences daily routines such as banking, healthcare, gaming, transportation, and space exploration, among others. AI’s challenges are; security, centralized architecture, and resource limitations. The methodology will be a comprehensive quantitative analysis of the existing research and how these technologies can be a transformative impact on how information is accessed through enterprise and society. The convergence of BC, AI, and IoT will provide scalable, secure high-level intellectual functioning that will be the new paradigm of digital information.
Analysis of Android-based Body Health Monitoring System Results using Fuzzy Mamdani Method

In a health monitoring system, an Android-based Health Detector (AHD) application uses fuzzy Mamdani to detect health concerns.The data given can be used as an input for multi-sensor readings produced from physiological health detection.The body's total health is determined when the detected health is merged with the fuzzy Mamdani algorithm.Anger, apathy, and apathy were calculated as variables.The fuzzy Mamdani method to body health problems involves creating fuzzy sets, applying implications functions, and synthesizing rules.This study found that aging affects both men's and women's health.Persons over 65 are more likely than younger people to suffer health issues, even if only a minority of them have been diagnosed.The fuzzy Mamdani technique had a high accuracy rate of 93.33 percent in this study.
CHARACTERIZING SOFTWARE QUALITY ASSURANCE PRACTICES IN KENYA

Given the increased reliance on technology, Software Quality Assurance(SQA) has become a vital area in Software Engineering (SE). SQA practices require training, cost and often take more time than actual code writing. Owing to these requirements, software developers often ignore or partly implement SQA practices, leading to potentially poor quality software development. The goal of the study is to characterise SQA practices of software developers in Kenya. As such, quantitative empirical research was conducted. Seventy-seven (N=77) completed questionnaires were received and analysed to yield the required insights. The analysis of the findings indicates compliance with SQA practices. However, the research unearths concerns such as failure to comply with Software Development Life Cycle (SDLC) models as having the potential to lower the quality of software products. The assessment found that Unit testing was the most common type of software test. Based on the findings and literature, recommendations are made. The need to improve software engineering education and invest in software testing is underscored. The results can be generalised to most developing countries and used by software developers and trainers to identify areas in SQA that need strengthening.
Automatic Spoken Dialect Identification

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Data-Driven Ontology Construction Method for Railway Derailment Accidents

Railway risk prevention has been an important task in railway operation. Accidents like derailment are severe problems for operation. Intelligent systems for safety management rely on existing knowledge heavily. Knowledge graph as a kind of knowledge management techniques is popular recently. For specific domains have unique dictionaries and rules, ontologies provide conceptual layers to help constructions of their knowledge graphs. This study proposes a methodology to build railway domain ontologies and constructs an ontology with derailment accident data as an example. Ontologies used to be built by terms, while railway terms need to be updated on time for actual scenarios. A method based on Pearson Correlation Coefficient has been taken as validation test of entities extraction and instances updating in proposed methodology. The constructed derailment accident ontology could provide the conceptual layer and basic structure for railway knowledge graph. And the ontology has achieved functions like knowledge retrival and knowledge visualization with the help of Protégé.
Interbed multiples modeling for OBN data

In this work, we show an extension of the interbedmultiple modeling of Pica and Delmas (2008) for OBN data, both in the upgoing and in the downgoing mode.It uses Born modeling with the one-way wave equation.A clear advantage over other methods is that it is not doomed by the poor receiver sampling, which is characteristic in this kind of acquisition.Nonetheless, a priori information is needed, as the velocity model and the horizon in depth corresponding to the generating reflector, which, unfortunately, prevents modeling multiples generated at an unknown generator.We describe the theory with details of the method and show promising results on real OBN data of the Santos Basin.
The use of prebiotics, probiotics and symbiotics in the post-operative assistance of patients with colorectal cancer

Introduction: the number of new cases of cancer in Brazil and in the world has caused great concern, consolidating itself as a public health problem, with colorectal cancer (CRC) being the third most diagnosed malignant neoplasm. Studies suggest that the use of probiotics, prebiotics and symbiotics can help to reduce postoperative complications. Objective: to review articles on the use of prebiotics, probiotics and symbiotics in the postoperative care of patients with CRC. Method: the review is based on scientific articles published between 2016 and 2021, in the CAPES, Elsevier and NCBI databases, using the descriptors “Probiotics” (“Probiotics”), “Prebiotics” (“Prebiotics”), “Symbiotics ” (“Synbiotics”), “Perioperative” (“Perioperative”), “Colorrectal Cancer” (“Colorectal Cancer”) and “Adults” (“Adults”). Selected by titles and abstracts, with the exclusion of review articles and literature review, about animals and those that escaped the theme. Results: 97 studies were found and, after selection, five remained that aimed to evaluate the effect of oral administration of probiotics or symbiotics in patients undergoing surgery for the treatment of CRC. Discussion: the oral use of probiotics and symbiotics proved to be safe for patients undergoing CRC treatment, with evidence in the reduction of the incidence of infections and other postoperative complications, in the reduction of the inflammatory state of the patient and with a lower concentration of pro-inflammatory cytokines. -inflammatory, resulting in a shorter hospital stay and a reduction in morbidities. Conclusion: more clinical trials are needed to better understand the management of probiotic strains and the benefits that these microorganisms can bring to patients undergoing CRC treatment.
Electroweak Phenomena

The Standard Model of particle physics is an amazingly successful theory describing the fundamental particles and forces of nature. This text, written for a two-semester graduate course on the Standard Model, develops a practical understanding of the theoretical concepts it's built upon, to prepare students to enter research. The author takes a historical approach to demonstrate to students the process of discovery which is often overlooked in other textbooks, presenting quantum field theory and symmetries as the necessary tools for describing and understanding the Standard Model. He develops these tools using a basic understanding of quantum mechanics and classical field theory, such as Maxwell's electrodynamics, before discussing the important role that Noether's theorem and conserved charges play in the theory. Worked examples feature throughout the text, while homework exercises are included for the first five parts, with solutions available online for instructors. Inspired by the author's own teaching experience, suggestions for independent research topics have been provided for the second-half of the course, which students can then present to the rest of the class.
Students' Understanding of the Use Of Foreign Terms Contained in the Sports Column of Rakyat Bengkulu Online Newspaper

This study aims to determine the ability of Indonesian Language Study Program students at IAIN Bengkulu in understanding foreign terms contained in the sports column of the Rakyat bengkulu online newspaper. Data research methods in quantitative methods are used to describe the data. The results of the research on the use of foreign terms are equally developed due to the influence of globalization and the interaction between one language and another. The difference between loanwords and foreign terms is that loanwords are adapted to Indonesian language rules so that they undergo spelling adjustments according to good and correct Indonesian spelling guidelines, while foreign terms come from books in foreign languages ​​whose use is international and customary by experts in their fields and entered into Indonesian based on: (a) more subtle connotations; (b) short words from the translation; and (c) are international rather than equivalent. It is concluded that the data on the ability to understand foreign terms as language variations in the Rakyat bengkulu online sports column. Based on the calculation, the average value of students' ability to understand foreign terms in the sports column of the Rakyat bengkulu online newspaper is 13.37. Then the percentage obtained is 66.85%. When consulted with a scale of five is quite sufficient. From the discussion above, it can be seen that the average ability of students to understand foreign terms as language variations in the sports column of the Rakyat bengkulu online newspaper is quite adequate with an average value of 13.37. The researcher suggests Indonesian students to understand foreign terms as language variations in the sports column of the Rakyat bengkulu online newspaper. Which has been made with the implementation of learning so that learning takes place in a structured manner.
THE MOST EFFECTIVE METHOD TO INCREASE COGNITIVE CAPACITY: COGNITIVE OFFLOADING

In the terms of cognitive abilities, the highest species is humans. However, human cognitive capacity is not unlimited. Internal and external resources are used to complete cognitive tasks. The concept of cognitive offloading refers to the methods used to increase cognitive performance. This study aims to bring this concept into Turkish psychology literature by presenting a general framework about the concept of cognitive offloading, which can be considered as new. Studies show that cognitive offloading is frequently used by humans. Evaluations made by metacognitive processes decide when to cognitive offloading. However, evaluations made by metacognitive processes are not always accurate. Cognitive limitations are sometimes exaggerated and cognitive offloading is used even if it is not needed. Although cognitive offloading causes increased performance, it also makes us susceptible to various performance failures such as false memory. Current studies have led up for many studies to get better understanding humans’ cognitive processes. Further studies on this subject will enable the understanding of human cognition and the use of this ability more effectively. Keywords cognitive offloading, intention offloading, metacognition, cognitive capacity, cognitive load
Privacy in Retrieval, Computing, and Learning

The increasing prevalence of massive datasets makes the outsourcing of storage and computation tasks to distributed servers a necessity. This raises a number of concerns regarding the security and integrity of stored information, the privacy of accessing desired information, the communication overhead of distributed systems, the latency, reliability, and complexity of distributed computing, and privacy in distributed training and learning systems. Recent breakthroughs from coding, communication, and information-theoretic perspectives have opened up exciting new research avenues for these topics. There are many theoretical and practical open problems. This Special Issue is dedicated to communication theory, coding theory, information theory, signal processing, and networking aspects of privacy in information retrieval, privacy in coded computing over distributed servers, and privacy in distributed learning.
(How) can Critical Posthumanism help to Decolonize Tertiary Education in the South in the Age of Cognitive Capitalism?

This chapter develops the argument that certain strands of posthumanism offer powerful views about technology and the human subject which can support critical tertiary education in the context of cognitive capitalism (Moulier Boutang &amp; Emery, 2011). Rosi Braidotti’s (2019) ideas on a posthumanist university and the posthumanist humanities are contrasted with both humanist and transhumanist thought. The argument is illustrated, whenever possible, with the author’s experience as a tertiary education practitioner and researcher in Brazil, in the hope that this resonates with the realities of tertiary educators in other parts of the South. Throughout the chapter, attention is drawn to conceptual and practical intersections between technology, colonialism/decolonial thinking and education.
Improvised Secure Transmission Technique accessory on Artificial Intelligence

Today, the growth in the number of people using online services using various communication tools has caused most governments, personal and business organizations to adjust the way they conduct business and handle their knowledge about their identity. Internet users, however, are vulnerable to identity theft, which is growing and costing enormous amounts to the global industry. Therefore for applications, they need to use the highly protected credential concept. And from now on, most application developers are using the simple user id and password framework to protect the same, and they have skipped considering the enhanced artificial framework and implementing the cryptographic strategies to protect further. In this paper, Artificial intelligence approaches and cryptographic concepts are widely used to mitigate these threats and as a means of managing digital identity information on existing unsecured networks to protect users and service providers' in a simple, reliable, and effective manner. Cryptographic principles will be applied to both user-id and password for optimum user identification. Additionally, the user id is available to all users, but the password is inaccessible. The effect of this technique is a new authentication method for committing legitimate and secure online access to the applications with the complexity of time and space, along with a highly protective design, being easily feasible whereas, older systems comparatively implement user authentication using passwords or Keys. For example, one has to provide a password to check that they can use that password to impersonate it.
Online Learning Process from the Perspective of Communication Strategy and Politeness

Today, online teaching and learning is widely accepted in institutions of higher learning. Although there were various problems in the beginning, all parties were receptive to thislearning approach after many improvements were made to ensure that students could followthe online teaching learning activities even during the lockdowns. The objective of the study was to identify the elements of communication strategy and politeness factors and describe the use of these elements during online learning. This study was conducted through observation and recorded sessions of Google Meet (chat room). The respondents of the study consisted of 35 students of various races who took a Malay language course (MPU3201 National Language A) for one semester at Multimedia University, Melaka campus. Data recordings were analysed according to the approach of Asmah Omar and Hymes where the use of language through direct communication strategies is often expressed in the form of statements and direct questions. In addition, communication strategies that mark politeness are examined based on the factors of adherence to social rules and factors in maintaining face. The results show the importance of selecting effective communication strategies even in a formal but friendly atmosphere during teaching and learning as this can build harmonious relationships. Therefore, it is highly recommended that instructors or lecturers use communication strategies, especially in the aspect of opening expressions and appropriate language behaviour expressions by emphasizing the politeness factor so that the formal teaching and learning sessions in a formal atmosphere is appealing to students.
Application of Knowledge Management System for Information Literacy Knowledge Sharing in News Service

The purpose of this research is to analyze the influence of knowledge management systems on team performance through knowledge sharing of information literacy on news agency. This research uses the quantitative research method included in explanatory research. This research was conducted at provincial news agency in DKI Jakarta. Knowledge management systems implementation directly influences knowledge sharing of information literacy on news agency, through the process of knowledge management systems cycle development, with the step starting from creating knowledge, capture knowledge, refine knowledge, store knowledge, manage knowledge, and disseminate knowledge structure mechanism. The conceptual framework usage including knowledge management concept, supply change management process, information literacy process, and organization performance. Factor analysis method usage to analyze and processes the primary data respondents. The result of this research is that there are new variables in knowledge sharing which are critical success factors for the success and success of mass media companies&#x0027; information literacy, which can then be developed into information literacy models for determining future corporate strategies.
“Flavours in Ead” an Innovative Concept and Approach for an Intuitive and Effective E-learning Course

E-learning has changed significantly since the pandemic. In the early months of 2020, our whole educational framework suffered from several side effects that needed to be corrected to ensure an effective and alternative way of teaching. Therefore, new methods and methodologies needed to be outlined to address the students’ learning needs. Regarding Higher Education, students and teachers were used to a more traditional way of teaching, yet strategies had to be implemented to maintain teaching in a higher level of performance. Thus, a methodology called “Flavours in EaD” was developed. This strategy comprised several actions and steps on how to build a robust, intuitive, and flexible E-learning course in the COVID-19 Pandemic time. What will be presented and analysed in this work as a way of disseminating the research and methodological process related to the “Flavours in Ead” strategy is based on the thought process involving the preparation, verification, development and implementation phase.
A Report of Translation on Words: A CAT Case Study of NCAA Manual

There are massive rules and regulations in the NCAA Manual, text and its language is very formal and concise because it belongs to the legal text.This manual is about the National College Athletics Association, which introduces details of the implementation and management rules with a lot of terms and formal vocabularies.During the process of translating this Manual, the author, based on the legal text and taking the reader into consideration, analyzed the words and sentences to find the accurate expressions and reach the translation purpose of "faith".The report is divided into five parts.Part II is the introduction, which introduces the source of the translation project and the reason for doing this translation project.Next, it briefly introduces the National College Athletics Association.Part III describes the translation tool SDL Trados and how it helps do the translation work.Part IV analyzes the text and points out the characteristics of the NCAA Manual.Part V summarizes the translator's personal experience and strategy applied during the translation process.
Dialectology for Computational Linguists

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Cyber Security Issues

Various Cyber Security challenges and issues along with solutions have been discussed in this paper. Cyber security is the protection of computer systems from the damage to their hardware, software or information, as well as from disruption or misdirection of the services they provide.
Finding the optimal cluster state configuration. Cluster states  classification by type of computations

In this paper, we study the transformations that are obtained in one-way quantum computation on continuous-variable cluster states of various configurations. Of all possible cluster configurations, we choose those that are suitable for universal Gaussian operations.
Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages

Cross-lingual transfer learning has become an important weapon to battle the unavailability of annotated resources for low-resource languages. One of the fundamental techniques to transfer across languages is learning \emph{language-agnostic} representations, in the form of word embeddings or contextual encodings. In this work, we propose to leverage unannotated sentences from auxiliary languages to help learning language-agnostic representations. Specifically, we explore adversarial training for learning contextual encoders that produce invariant representations across languages to facilitate cross-lingual transfer. We conduct experiments on cross-lingual dependency parsing where we train a dependency parser on a source language and transfer it to a wide range of target languages. Experiments on 28 target languages demonstrate that adversarial training significantly improves the overall transfer performances under several different settings. We conduct a careful analysis to evaluate the language-agnostic representations resulted from adversarial training.
Examining Gender Bias in Languages with Grammatical Gender

Recent studies have shown that word embeddings exhibit gender bias inherited from the training corpora. However, most studies to date have focused on quantifying and mitigating such bias only in English. These analyses cannot be directly extended to languages that exhibit morphological agreement on gender, such as Spanish and French. In this paper, we propose new metrics for evaluating gender bias in word embeddings of these languages and further demonstrate evidence of gender bias in bilingual embeddings which align these languages with English. Finally, we extend an existing approach to mitigate gender bias in word embeddings under both monolingual and bilingual settings. Experiments on modified Word Embedding Association Test, word similarity, word translation, and word pair translation tasks show that the proposed approaches effectively reduce the gender bias while preserving the utility of the embeddings.