Reviewerly/exHarmony huggingface dataset:
Scientific Communication on Artificial Intelligence: The Question of the Social Status of the Biodroid

Boidroids, androids mixing organic and synthetic components controlled by Artificial Intelligence, will likely spread soon in the daily life. They will interact with humans and will be thinking, behaving and feeling like humans. They will likely take on the appearance of humanoids in order to be better accepted in the civil society. Such artificial entities might be a source of comfort for humans by carrying out tasks that would improve the daily life for example; at the same time, they might be a source of concern by being the bearer of an intrinsic threat associated with an autonomy that humans might no longer control. Whether they are perceived positively or negatively, the question of their social status will soon have to be considered: The imminent nature of this consideration is illustrated by the android Sofia which was granted citizenship in 2017 by Saudi Arabia. Demonstrating the need to elaborate a legal and ethical frame to this perspective, the present article argues that scientific and non-scientific communities must seize the issue from now. The article also warns that, to date, the scientific communication on the topic (i.e. the written contributions of scientists) shows that the scientific communities as well as the civil society are far from being prepared to this eventuality. It concludes that the social status of entities such as biodroids must be analyzed and socialized before the civil society being confronted to the issue; this is to be done especially through scientific and non-scientific communications.
On Securing MAC Layer Broadcast Signals Against Covert Channel Exploitation in 5G/6G &amp; Beyond

&lt;p&gt;We have proposed a novel framework to identify and mitigate a recently disclosed covert channel scheme exploiting unprotected broadcast messages in cellular MAC layer protocols.&lt;/p&gt; &lt;p&gt;Examples of covert channel include data exfiltration, remote command-and-control (CnC) and espionage.&lt;/p&gt; &lt;p&gt;Responsibly disclosed to GSMA as CVD-2021-0045, the SPARROW covert channel scheme exploits the downlink power of LTE/5G base-stations that broadcast contention resolution identity (CRI) from any anonymous device according the 3GPP standards. &lt;/p&gt; &lt;p&gt;Thus, the SPARROW devices can covertly relay short messages across long-distance which can be potentially harmful to critical infrastructure. &lt;/p&gt; &lt;p&gt;The SPARROW schemes can also serve as an efficient solution for long-range M2M applications. &lt;/p&gt; &lt;p&gt;Instead of naively reducing the size of CRI in similar random access procedures, this work offers a rigorously designed method to randomly obfuscate CRI broadcast in future 5G/6G standards. Compared to the naive approach, the proposed method achieves considerable reduction in SPARROW covert channel capacity with less impact on the other cell users, according to the numerical results.&lt;/p&gt;
KINA: Karatsuba Initiated Novel Accelerator for Ring-Binary-LWE (RBLWE)-based Post-Quantum Cryptography

&lt;p&gt;Along with the National Institute of Standards and Technology (NIST) post-quantum cryptography (PQC) standardization process, lightweight PQC-related research and development have also gained substantial attention from the research community recently. Ring-Binary-Learning-with-Errors (RBLWE), a lightweight variant of Ring-LWE, which uses binary errors to replace the regular Gaussian distributed errors to achieve smaller complexity, has great potential to built such lightweight PQC scheme for emerging Internet-of-Things (IoT) and edge computing applications.The parameter settings of the RBLWE-based encryption scheme, however, are much smaller than the typical Ring-LWE one and then how to reduce its computational complexity becomes an interesting research topic.Following this direction, in this paper, we propose a Karatsuba Initiated Novel Accelerator (KINA) for efficient implementation of RBLWE-based PQC. Overall, we have made several coherent interdependent stages of efforts to carry out the proposed work: (i) we have presented the mathematical derivation process to propose a new Karatsuba Algorithm (KA)-based polynomial multiplication, the main algorithmic operation of the RBLWE-based scheme; (ii) we have then effectively mapped the proposed algorithm into a desired hardware accelerator with the help of a number of optimization techniques; (iv) we have also provided detailed complexity analysis and implementation comparison to demonstrate the superior performance of the proposed RBLWE-based PQC accelerator. Overall, the proposed RBLWE-based PQC accelerator involves two unique features: (i) this is the first report about Karatsuba initiated RBLWE-based PQC accelerator; (ii) the proposed RBLWE-based PQC accelerator offers flexible processing speed and can be fit in various high-performance applications. The proposed KINA is highly efficient and has the potential to be included in the implementation recommendation choices for RBLWE-based scheme deploying in lightweight applications.&lt;/p&gt;
Getting the whole story

Historical research involves the construction of competing narratives around complex historical events. Getting the whole story requires having access to these narratives, which can be a challenge when the coverage of historical research in widely used databases is incomplete or biased. This paper investigates to what extent journals indexed in two historical research databases, namely Historical Abstracts and America: History and Life, are covered by the Web of Science and Scopus, as well as the national and linguistic biases in that coverage. Results show a much higher coverage of historical research in Web of Science than Scopus. However, both databases disproportionately favour indexing English language journals and journals published in the United States and the United Kingdom. That raises questions about how these imbalances in journal coverage may lead to biases in the narratives to which readers are exposed when they limit their sources to those included in large, multidisciplinary databases.
Challenges and Coping Strategies of Novice Teachers in Modular Distance Learning Modality

The study was conducted to determine the challenges and coping strategies of novice teachers in modular distance learning modality in Urbiztondo, Pangasinan. The qualitative research design particularly the phenomenological research design was used in this study. The respondents of the study were ten (10) novice teachers from Urbiztondo who were chosen purposively based on their length of service in public school specifically those with 1 to 3 years of teaching experience. The analysis used three stages in the form of data reduction, data presentation, and data conclusion. The study revealed that novice teachers’ challenges in modular distance learning modality are lack of printing materials, and supplies, time consuming, power interruption, parents not getting the modules, schedule not being followed, late submission, unanswered/unfinished modules, and unidentified answer sheets, dirty, damaged modules with torn and missing pages, academic dishonesty and difficulty validating learners’ performance. Moreover, proper time management, staying positive and asking advice or guidance from a mentor are the strategies employed by novice teachers in order to cope up with the challenges in modular distance learning modality. In addition being flexible and knowing how to adapt to changes help them cope up with the challenges encountered.
LEARNING VOCABULARY: WHAT STRATEGIES ARE UTILIZED BY PRIMARY SCHOOL STUDENTS?

The objectives of the study are to figure out the strategies and problems in learning vocabulary of the fifth grade students of SD 7 Cendono Dawe Kudus in academic year 2019/2020. This present study is a descriptive study which employed questionnaire and interview guideline in collecting the data. The participants were 20 students, 11 boys and 9 girls of fifth graders of SD 7 Cendono Dawe Kudus. The results revealed that the learning strategies utilized by the students in learning vocabulary are metacognitive strategy (21.45), memory strategy (18.95), compensation strategy (15.47), social strategy (14.96), cognitive strategy (14.71) and affective strategy (14.46). While the most problems faced by the students are spelling, pronunciation, memorizing, and meaning.
Dynamics of Inflation and Remittances on Economic Growth in Liberia: A Granger Causality Approach

Inflation and economic growth relationship remain an extensive theoretical and empirical debate in developing countries with regards to monetary policy.The study examines the nexus among economic growth, remittance and inflation in Liberia.The study employed the Granger Causality test to identify if changes in variable of interest temporally precede changes in another, was considered.The VECM specification and result shows a cointegrating equation which indicate a statistically significant long run relationship.The second lag of GDP is positively affecting economic growth significantly.Lag one of inflation showed a significant and positive relation with GDP, hence inflation positively affect economic growth.The result of the VEC Granger Causality/Block exogeneity Wald tests below show Inflation Granger causes GDP in Liberia which is consistent with our ECM result.The result also showed remittance Granger cause GDP in Liberia while inflation Granger causes remittance in the Liberian economy.In conclusion, the study shows that inflation and remit granger caused GDP at a significant level and inflation granger cause remit, hence there is unidirectional causality from inflation to GDP, and from inflation to remit in Liberia.
Syiar Dalam Alunan Syair: Nasyid Seni Dakwah Islam di Bandung Tahun 1990-2004

This research explains the art of nasyid music as an art of Islamic dakwah in Bandung from 1990 to 2004, which was initially introduced as a chant to give speeches for Islamic student activists along with the spirit of defending Palestine and Afghanistan. This research uses historical method, namely topic choice, heuristics, source criticism, interpretation and historiography. The results of this study show that in its development nasyid is considered an art of music to offer resistance to Western music which affects young people, especially in urban areas. Nasyid has become a modern Islamic music which has become one of the alternative music streams to convey Islamic preaching in addition to the art of entertainment, so that nasyid has become an influential dakwah art for the people of Bandung, especially young people, many of whom are more familiar with Islam until they migrate. In 2004 nasyid in Bandung experienced ups and downs in which nasyid became a national festival, but nasyid began to be neglected due to the existence of popular Indonesian musicians who began releasing religious albums.
A Process Mechanism Study of the Impact of Service Robot Anthropomorphic Features on Users&amp;apos; Continuous Usage Intention

Robots replacing the work of human employees is no longer a novelty.In the manufacturing industry, a large number of front-line employees have already been replaced by machines.With the maturity and development of robotics, the replacement of humans with machines is gradually shifting from the manufacturing industry to the service industry.The process by which robotic features affect users' willingness to use under intelligent services has been a hot topic in business management and academic research in recent years.However, anthropomorphism as an intuitive external feature, few studies have explored the process mechanisms of such features on customers' continuous usage intention.Based on Social information processing theory, the article investigates the mechanism by which anthropomorphic appearance features of service robots affect users' continuous usage intention.The results show that users' tendency to anthropomorphize the appearance of service robots positively influences continuous usage intention through the partial mediation of perceived usefulness and perceived enjoyment.In addition, the level of empathy of the service robot moderates the effect of anthropomorphism on perceived usefulness and perceived hedonicity.The findings of this study enrich the research on the processes that influence users' continuous usage intention in service encounters and also provide a useful reference for the management practices of service companies.
Research on the Aggregation, Integration and Sharing Mechanism of High-Quality Teaching Resources in Application-Oriented Universities

With the development and improvement of network teaching resources, the information sharing of teaching resources in colleges and universities is not only the important basis for improv but also the core of promoting the information has its unique disciplinary advantages, there are some high High-quality teaching resources are effectively shared, converged and integrated among colleges and universities, and regional cooperation is actively carried out to further realize the complementarity of adva and universities, and to promote their sustainable development in the future.The research on the collection, integration and sharing of high-quality teaching resources in application collection, integration and sharing of highteaching resources, but also optimize the allocation of resources, so as to improve the is helpful to promote the reform of education and teaching in colleges and universities, promote the process of educational information, and further improve the effectiveness of education and teaching in colleges a
THE STUDENTS' PERCEPTION ON THE USE OF ONLINE PLATFORM IN STUDYING ENGLISH

This research aimed to know the perception of fifth semester students of English Education Department of Universitas Muria Kudus on the use of online platform in Learning English and to find out what kinds of social media do the fifth semester students of English Education Department of Universitas Muria Kudus to learn English.
Fully Decentralized Model by P2P Smart Contract To Achieve High Availability in IoT

&lt;p&gt;In recent years, the number of IoT devices has increased substantially. One of the main concerns is the interaction with high availability. While peer-to-peer (P2P) technology has been used to achieve high availability by software running in P2P hardware, a single software still acts as the center for the interaction. If the software has bugs or is out of service, all devices are affected. Aiming at this issue, this paper proposes a fully decentralized model as a high-availability solution, in which P2P software runs on a P2P hardware environment. P2P software is a set of independent software from respective participants (IoT devices) that can work cooperatively without centralized software. We use blockchain as a P2P platform because it has P2P nodes and a trustless environment, so the P2P software in this paper is P2P smart contracts. To pair cooperative smart contracts, each P2P smart contract has requirements on other smart contracts. If several smart contracts matches the requirements mutually, they are treated as a work group (a topic), and then they process each other's requests within that group. When a single smart contract fails, the paired P2P software can be re-selected, resulting in high availability. Simulation results show that the proposed model can effectively eliminate the impact of the failure of any single smart contract.&lt;/p&gt;
CREATIVE, FUN, AND EFFECTIVE WRITING IN EFL CLASSROOMS

“Writing is difficult”. That might be the most common expression when the students are asked to make a writing composition, especially an English language composition. Actually, writing is a challenging activity not only for the students but also for the teacher. From the students’ point of view, writing is about finding the idea, organizing it, making sentences, and constructing them into coherent paragraphs or essay. Unfortunately, the students have lack of vocabulary to write and motivation in joining writing class. On the other side, the teacher is struggling with how to make the students able to find the ideas, then build them to make a good composition. The teacher must empower many kinds of media and also methods as well as techniques to make the writing class fun and effective. Hopefully, by practicing those suggested methods and techniques the students writing ability can be significantly improved.
THE ANALYSIS OF GENERIC STRUCTURE OF DESCRIPTIVE TEXTS PRODUCED BY COLLEGE STUDENTS

Writing is a challenging skill for some English students. Before writing, students must consider the genre. A text type is genre. It's not easy to apply genre theory in writing. The students must comprehend the text's genre, general organization, and lexico-grammatical features. They have lots of ideas but can't put them into a nice writing. This is a big issue for some EFL students. This study examined the impact of genre choice and generic structure on students' writing. The researchers studied the English Class of the Psychology Department of Universitas Muria Kudus. This study is descriptive qualitative. The descriptive qualitative examines the study of students' writings based on genre choice and generic structure. This study was conducted in English class at Universitas Muria Kudus at Psychology Department. Based on the research findings, students' descriptive texts consisted of a generic structure of identification and description. A person's introduction is described in identification. A person is described in a description. Identification and description were well used by all students. Thus, the students consistently used generic structure in their writings. However, there were issues with punctuation, diction, and meaning. This research may help English Education Department, especially students who need to better their texts and think about generic organization and challenges while writing.
The Fisher Component-based Feature Selection Method

A feature selection technique is proposed in this paper, which combines the computational ease of filters and the performance superiority of wrappers. The technique sequentially combines Fisher-score-based ranking and logistic regression-based wrapping. On synthetically generated data, the 5-fold cross-validation performances of the proposed technique were compatible with the performances achieved through Least Absolute Shrinkage and Selection Operator (LASSO). The binary classification performances in terms of F1 score and Geometric Mean (GM) were evaluated over a varying imbalance ratio of 0.1:0.9 – 0.5:0.5, a number of informative features of 1 – 30, and a fixed sample size of 5000.
Study of Blockchain Technology Applied to International Marketing and Potential Business Disruptions

Technology has played a significant role in the continuous revolution in the internationalization of products. Most relevantly the transmission and communication tools. Starting from the invention of Print Media, Radios, Telephone, Fax and Internet. The Internet with emails, social media and e-commerce platforms made the world a smaller place where every small, medium business or individuals can easily market their product or service in any foreign country. While its possibility today, International marketing has many challenges yet to be addressed. On the other hand, like the Internet, the advent of Blockchain technology is likely to disrupt international marketing forte with its capabilities of distributed ledger technology, Smart Contracts and bringing Authenticity in untrusted environments. Objective of this paper is to draft the applications of blockchain in the future of international marketing. How Blockchain can help the global business environment to cope with diverse parameters. To evaluate if the said technology has potential to disrupt the current marketing methodologies by bringing trust in untrusted global business ecosystems. In this study we will explore the literature concerning the research done across the international business cut with blockchain technology and try to accomplish the objective with explorative study.
AUTOMATICALLY GENERATE GIT COMMIT MESSAGES USING NMT

&lt;p&gt; Commit messages are a valuable resource in the comprehension of software evolution since they provide a record of changes such as feature additions and bug repairs. Unfortunately, programmers often neglect to write good commit messages. Different techniques have been proposed to help programmers by automatically writing these messages. These techniques are effective at describing what changed, but are often verbose and lack context for understanding the rationale behind a change. In contrast, humans write messages that are short and summarize the high-level rationale. In this paper, we adapt Neural Machine Translation (NMT) to automatically “translate” diffs into commit messages. We will train an NMT algorithm using a corpus of diffs and human-written commit messages from the top 1k GitHub projects. We will also design a filter to help ensure that we only train the algorithm on higher-quality commit messages. Our evaluation uncovers a pattern in which the messages we generate tend to be either very high or very low quality.&lt;/p&gt;
The Importance of Machine Translation to University Students

People can no longer avoid using technology in their daily lives because it has been incorporated into every facet of life. The development of computer hardware and software to provide higher-quality translated texts is known as machine translation (MT). This research examined MT’s importance as a tool for university students using qualitative methods. Data was collected through library research from national and international journals. The results demonstrated that students typically appreciate the importance of Web-Based Machine Translation (WBMT) technology for supporting language acquisition. Only a very small number of participants felt that the availability of WBMT tools eliminated the need to learn how to write in English. This is consistent with the finding that most participants recognize the importance of cognitive involvement in English Language learning. Furthermore, MT can improve writing quality in terms of accuracy and syntactic complexity. Excessive reliance on tools may prevent students from thoroughly improving their translation skills.
Effects of Reading-Writing and Think-Pair-Share Strategies on Secondary School Students’ Performance in Essay Writing in Nigeria

This study investigated the effects of Reading-Writing (RW), Think-Pair-Share (TPS), and combination (RW &amp; TPS) strategies on students’ performance in essay writing in senior secondary schools in Ondo State. The study adopted a quasi-experimental pre-test post-test four-group design as well as a descriptive survey type design. The population for the study comprised all the 25 297 public Senior Secondary School (SSS) II students of the 2019/2020 Session in Ondo State. The sample for this study was 308 SSS II students that were selected from public senior secondary schools, using a multi-stage sampling procedure. The instrument used for this study is the Essay Writing Performance Test (EWPT) which was a standardised WAEC question. The reliability of the instrument was established through the test re-test method and a reliability coefficient of 0.70 was obtained. The data collected were analysed using descriptive and inferential statistics. All hypotheses were tested at a 0.05 level of significance. The performance of students in both experimental and Control Groups in the pre-test was low and did not differ statistically this established the homogeneity of the four groups before the experiment. The result also revealed that it was only in the RW and the combination Groups that there was a significant difference in the pre-test and post-test scores of the test subjects at a 0.05 level of significance. The result also established there was a significant difference in the effects of the strategies of teaching investigated on the performance of the students in essay writing.