Reviewerly/exHarmony huggingface dataset:
A New Outlook on the Profitability of Rogue Mining Strategies in the Bitcoin Network

Abstract Many of the recent works on the profitability of rogue mining strategies hinge on a parameter called gamma (γ) that measures the proportion of the honest network attracted by the attacker to mine on top of his fork. These works, see [6] and [5], have surmised conclusions based on premises that erroneously treat γ to be constant. In this paper, we treat γ as a stochastic process and attempt to find its distribution through a Markov analysis. We begin by making strong assumptions on gamma's behaviour and proceed to translate them mathematically in order to apply them in a Markov setting. The aforementioned is executed in two separate occasions for two different models. Furthermore, we model the Bitcoin network and numerically derive a limiting distribution whereby the relative accuracy of our models is tested through a likelihood analysis. Finally, we conclude that even with control of 20% of the total hashrate, honest mining is the strongly dominant strategy.
Implementation of Blockchain Based Data Storage and Verification for Access

Verification for access is used in software to secure information of the user. There are some kinds of verification process, however, as per the secondary information; major users prefer the biometric verification process. On the other hand, block chain based data storage is used in businesses, banking sectors, and other sectors. In this case, this process helps to store confidential information with proper security. This research is focused on the implementation process of block chain based data storage and verification access control. The aim of this research is to demonstrate the importance of block chain data storage and verification access control in various sectors to store and secure information of the users. This research has used the quantitative research data collection method to collect information on block chain and verification access. As per the information, it can be stated that the user has increased demand for block chain due to its verification ability, and it’s other benefits such as increased speed of work, traceability, track of confidential data, and others. In this research, the implementation process of block chain has been discussed with an algorithm flowchart. As per the flowchart, there is a node that helps to store the information of the user and increase the value of block chain data storage. As per the result of this research, there are few steps to implement data storage and those are increasing knowledge on block chain and verification, and strategizing block chain, and plan to implement that. After that, the simulation process needs to be entered in this process to check the progress of implementation. In this research work, the FMS model is discussed to focus on the implementation of verification for access. Keyword : Blockchain, data storage, verification access control, technology, CSE
Policy-Gradient and Actor-Critic Based State Representation Learning for Safe Driving of Autonomous Vehicles

&lt;p&gt;In this paper, we propose an environment perception framework for autonomous driving using state representation learning (SRL). Unlike existing Q-learning based methods for efﬁcient environment perception and object detection, our proposed method takes the learning loss into account under deterministic as well as stochastic policy gradient. Through a combination of variational autoencoder (VAE), deep deterministic policy gradient (DDPG), and soft actor-critic (SAC), we focus on uninterrupted and reasonably safe autonomous driving without steering off the track for a considerable driving distance. Our proposed technique exhibits learning in autonomous vehicles under complex interactions with the environment, without being explicitly trained on driving datasets. To ensure the effectiveness of the scheme over a sustained period of time, we employ a reward-penalty based system where a negative reward is associated with an unfavourable action and a positive reward is awarded for favourable actions. The results obtained through simulations on DonKey simulator show the effectiveness of our proposed method by examining the variations in policy loss, value loss, reward function, and cumulative reward for ‘VAE+DDPG’ and ‘VAE+SAC’ over the learning process.&lt;/p&gt;
Analysis of Potential Research Topics for Entrepreneurial Factors and Sustainability using Bibliometric Study

Sustainability is a topic that is currently the focus of researchers because it is related to human interaction with the environment to maintain resource sustainability. Human activities can cause environmental degradation. One way to minimize this is to apply the principles of entrepreneurship. The importance of principles and the identification of entrepreneurial factors to implement sustainability is a research opportunity that still needs improvement. By using bibliometrics analysis using R tools, this study seeks to identify research gaps and potential topics for future research related to entrepreneurial factors and sustainability. Research and content-based analysis were conducted on 95 articles obtained from Scopus. The research results have identified constructs and methods that can become potential topics for future entrepreneurs and sustainability researchers. In addition, the results of this study identify that research related to the topic of entrepreneurship and sustainability in developing countries still needs to be developed. This research theoretically enriches knowledge related to bibliometric analysis in entrepreneurship and sustainability. Furthermore, this research guides other researchers in the field of entrepreneurship and sustainability in determining the constructs and research methods.
End-to-End Wireless Communication System Based on Deep Neural Network Channel Module

&lt;p&gt; The existing end-to-end (E2E) wireless communication systems require fewer communication modules, have a simple processing signal flow and do not require expertise compared to conventional wireless communication systems. However, in the absence of a differentiable channel model, it is impossible to train transmitters, used in such systems, which makes impossible to get optimal system performance. To solve this problem, an E2E wireless communication system with conditional generative adversarial networks (CGAN) for channel modeling has been proposed recently. Unfortunately, the training of CGAN is prone to instability, slow convergence, and inaccurate channel modeling, which affects the system performance. To this end, we propose an E2E wireless communication system with a deep neural network (DNN) channel module as the unknown channel. Simulation results showed that the proposed channel modeling method has faster convergence, simpler network structure, and can reflect the behavior of real channels more accurately. In addition, the proposed E2E wireless communication system exhibits better bit error rate (BER) and block error rate (BLER) performance. &lt;/p&gt;
PROFESSIONALLY ORIENTED EXTENSIVE READING AS A TYPE OF IT STUDENTS’ INDEPENDENT WORK

The present work aims to analyse and describe ways of integrating extensive reading into the high educational process. The article proves the necessity of providing the independent work of students who study Information Technologies in tertiary education as it is a vital and motivating way for students to accumulate professional information, acquire new knowledge, gain valuable experience, and upgrade 21st-century skills. To meet the demands of the global labour market, IT students need to understand documentation and scientific literature. They should be ready to participate in conferences, webinars, masterclasses or meetings, to collaborate and communicate in a team via speaking English as it is the most widespread language in the professional environment. Since IT students are fascinated by their speciality, we suggest reading professional literature as one of the ways of obtaining information and increasing the level of professional competence. The article shows the advantages of extensive reading of professional literature and offers examples of websites with level and content-appropriate texts. The authors confirm the positive and beneficial results of extensive reading as part of IT students` independent work.
Computers, Applications, and Artificial Intelligence

Abstract This chapter discusses the development of computers, applications, and artificial intelligence (AI). The value of technology primarily focuses on keeping track of knowledge such as medical care. Additionally, the chapter looks into the functions and components of a computer such as the CPU. Signal processing starts on the analog signal before the ADC. Thus, neurophysiologists are concerned about the calculations performed on the digitized data. Moreover, cognitive physicians are highly dependent on computers for their ability to handle electronic health records (EHR) and extensive diagnostic equipment. The functions of EHR range between communication with patients and providers, decision support, and patient list management.
Secondary School Students’ Interpretation of the Frequency Table

This research analyses Spanish secondary school students' reading capacity of elements in a frequency table. The study is based on the two reading levels of reading the data and reading between the data proposed by Curcio (1989) and applied to data displayed in a statistical table. The results of the evaluation study carried out with 149 students in secondary school first grade and 128 in third grade (12–14-year-olds) show that the majority of the sample performs a correct reading, especially in the first reading level. We also use the notion of semiotic conflict proposed by Godino et al. (2007, 2019) to describe mistakes in the students' responses, which were mainly comparing frequencies incorrectly and misunderstanding the questions posed.
Infeasibility of constructing a special orthogonal matrix for the deterministic remote preparation of arbitrary n-qubit state

In this paper, we present a polynomial-complexity algorithm to construct a special orthogonal matrix for the deterministic remote state preparation (DRSP) of an arbitrary n-qubit state, and prove that if n>3, such matrices do not exist. Firstly, the construction problem is split into two sub-problems, i.e., finding a solution of a semi-orthogonal matrix and generating all semi-orthogonal matrices. Through giving the definitions and properties of the matching operators, it is proved that the orthogonality of a special matrix is equivalent to the cooperation of multiple matching operators, and then the construction problem is reduced to the problem of solving an XOR linear equation system, which reduces the construction complexity from exponential to polynomial level. Having proved that each semi-orthogonal matrix can be simplified into a unique form, we use the proposed algorithm to confirm that the unique form does not have any solution when n>3, which means it is infeasible to construct such a special orthogonal matrix for the DRSP of an arbitrary n-qubit state.
Generating hypotheses for alternations at low and intermediate levels of schematicity. The use of Memory-based Learning

Abstract According to usage-based linguistics, language variation addresses a functional need of the language user. That functional need may be dependent on the lexical realization of the varying constructions. For instance, while it may be useful to have an argument structure alternation express a particular semantic distinction for particular verbs or themes, that same distinction may be less relevant for other verbs or themes. As such, it has been argued that language variation should be investigated at low levels of schematicity, e.g. by studying argument structure alternations separately for various verbs, themes, etc. In this paper, we develop a data-driven procedure to do so, based on Memory-based Learning (MBL). The procedure focusses on generating hypotheses, is scalable, and can work with small datasets. It consists of three steps: (i) choosing features for the MBL classifier, (ii) running MBL analyses and selecting which analyses to put under further scrutiny, and (iii) inspecting which features were most useful in predicting the choice of variant in these analyses. Finally, the hypotheses that are inferred from these features are put to the test on separate data. As an example study, we investigate the Dutch naar -alternation.
PENGARUH PENGGUNAAN MEDIA POWERPOINT TERHADAP MINAT DAN HASIL BELAJAR SISWA SDN BAREBELIK

Learning media has a considerable influence in the learning process. knowing the effect of using Powerpoint media on interest in learning and student learning outcomes in science learning. This type of research is a quantitative research design with a Quasi-experiment design: One-Group Pre-test-Post-test Design with one type of treatment. The research design used Pre-test-Post-test Design. The subjects of this study were all grade IV B students of SD Negeri Barebelik in the 2021/2022 academic year. The data obtained consisted of data on interest in learning scores and scores of science learning outcomes for experimental group students. The instrument used is a learning interest questionnaire and a science learning outcome test. The data were analyzed to determine the effect of Powerpoint media on students' interest in learning and student learning outcomes based on pre-test and post-test in the experimental group. Interest in learning science in grade IV SD Negeri Barebelik increased by 67.65%, namely from the result of the difference in the percentage before learning and after learning. Meanwhile, the science learning outcomes of the fourth grade students of SD Negeri Barebelik increased by 52.94% from the difference in the percentage before and after learning. There is an influence of Power-point media on learning interest and science learning outcomes for class IVB students at SD Negeri Barebelik in the 2021/2022 academic year. ABSTRAKMedia pembelajaran memiliki pengaruh yang cukup besar dalam proses pembelajaran. mengetahui pengaruh penggunaan media Powerpoint terhadap minat belajar dan hasil belajar siswa pada pembelajaran IPA. Jenis penelitian ini adalah penelitian kuantitatif dengan desain penelitian Quasi-experiment design: One-GroupPre-test-Post-test Design dengan satu macam perlakuan. Rancangan penelitian menggunakan Pre-test-Post-test Design. . Subjek penelitian ini adalah semua siswa kelas IV B SD Negeri Barebelik Tahun Ajaran 2021/2022. Data yang diperoleh terdiri atas data skor minat belajar dan skor hasil belajar IPA siswa kelompok eksperimen. Instrumen yang digunakan adalah angket minat belajar dan tes hasil belajar IPA. Data dianalisis untuk mengetahui pengaruh media Powerpoint terhadap minat belajar siswa dan hasil belajar siswa berdasarkan pre-test dan post-test pada kelompok eksperimen. Minat belajar IPA siswa kelas IV SD Negeri Barebelik meningkat 67,65% yaitu dari hasil selisih persentase sebelum pembelajaran dan sesudah pembelajaran. Sedangkan, Hasil belajar IPA siswa kelas IV SD Negeri Barebelik meningkat 52,94% dari selisih persentase sebelum dan sesudah pembelajaran. Terdapat pengaruh media Power-point terhadap minat belajar dan hasil belajar IPA siswa kelas IVB SD Negeri Barebelik Tahun Pelajaran 2021/2022.
Blockchain Mutability: Challenges and Proposed Solutions

Abstract—Blockchain’s evolution during the past decade is astonishing: from bitcoin to over 2.000 altcoins, and from decentralised electronic payments to transactions programmable by smart contracts and complex tokens governed bydecentralised organisations. While the new generation of blockchain appli- cations is still evolving, blockchain’s technical characteristics are also advancing. Yet, immutability, a hitherto indisputable property according to which blockchain data cannot be edited nor deleted, remains the cornerstone of blockchain’s security. Nevertheless, blockchain’s immutability is being called into ques- tion lately in the light of the new erasing requirements imposed by the GDPR’s “Right to be Forgotten (RtbF)” provision. As the RtbF obliges blockchain data to be editable in order restricted content redactions, modifications or deletions to be applied when requested, blockchains compliance with the regulation is indeed challenging, if not impracticable. Towards resolving this contradiction, various methods and techniques for mutable blockchains have been proposed in an effort to satisfy regulatory erasing requirements while preserving blockchains’ security. To this end, this work aims to provide a comprehensive review on the state-of-the-art research approaches, technical workarounds and advanced cryptographic techniques that have been put forward to resolve this conflict and to discuss their potentials, constraints and limitations when applied in the wild to either permissioned or permissionless blockchains. Index Terms—Blockchain, immutability, Right to be forgotten, GDPR
Table-Of-Contents generation on contemporary documents

The generation of precise and detailed Table-Of-Contents (TOC) from a document is a problem of major importance for document understanding and information extraction. Despite its importance, it is still a challenging task, especially for non-standardized documents with rich layout information such as commercial documents. In this paper, we present a new neural-based pipeline for TOC generation applicable to any searchable document. Unlike previous methods, we do not use semantic labeling nor assume the presence of parsable TOC pages in the document. Moreover, we analyze the influence of using external knowledge encoded as a template. We empirically show that this approach is only useful in a very low resource environment. Finally, we propose a new domain-specific data set that sheds some light on the difficulties of TOC generation in real-world documents. The proposed method shows better performance than the state-of-the-art on a public data set and on the newly released data set.
A critical discourse analysis on self-efficacy values in modern Chinese children's stories

This review article will explain teaching materials for self-efficacy in modern Chinese children’s stories. The materials focused on five grand topics. The topics are (1) find the moral values of thinking creatively, (2) find moral messages to design mapping the problems, (3) find normative values of work in order, (4) find moral values of taking initiative, (5) find moral values of thinking systematically. The method adopted by Fairclough’s (2001) construction analysis on critical discourse analysis. Data taken from children's stories, these (1) Immortal Devil Transformation, (2) Warlock of the Magus World, (3) Wu Dong Kian Kun, (4) Dragon Prince Yuan, (5) Great Demon (7) A Record of a Mortal’s Journey to Immortality, (8) Dragon Prince Yuan, (9) God of Cooking, (10) I Shall Seal the Heavens, (11) Heaven's Devourer, (12) Desolate Era, (13) the Human Emperor, (14) A Will Eternal, (15) Fields of Gold, and (16) Cultivation Online. Those stories were written in the periods 2005-2021. The results of this research indicate that self-efficacy in Chinese children's literature reflected on 6 results, those are (1) working based on problem solving, (2) working based on critical analysis, (3) working based on real facts, (4) working based on cognizance and (5) working based on integrity. The conclusion of this study is that self-efficacy in fantasy stories of Chinese children learning character education is based on exposure to universal values of self-efficacy. Keywords: self efficacy, ethics in schools, character education, children literature, chinese modern stories
The role of Kompas.id platform as a forum for the development of newspaper literature in the digital era

The newspaper has long been an outlet for publishing written work, and through technological breakthroughs that have impacted and advanced the publishing industry, the readers benefit from online newspapers. This digital media makes possible simple and rapid access to digital information channels, including the news portal Kompas.id. The present study, library research, aims to reveal the newspaper literature that promotes an appreciation for Indonesian literature. Screenshots and attentive listening were employed as documentation strategies during the data collecting process which involve some analysis of literary content on Kompas.id. The researcher's technical analysis includes the following steps: (1) Identifying literary products pertinent to the investigation, (2) accessing the Kompas.id software, (2) registering for a user account on the Kompas.id website, (3) attentively listening to the literary works read on the Kompas.id platform, (5) examining the literary content on the platform, and (6) summarizing and presenting the findings. The results of the study demonstrated that newspaper literature relatively evolved in this digital era, making it simpler for authors to submit their works and for readers to enjoy them. The Kompas.id, site publishes literary pieces that serve to enlighten, educate, and transmit moral values to their readers, as well as stimulating their interest on reading through its up-to-date and original works of literature This likely exemplifies how the growth of digital media has influenced Indonesian literature in a beneficial way.Keywords: newspaper literature, Kompas.id, technology, digital era
Positioning idealism with the power of Waspada newspaper review of the van Leeuwen theory

This research is motivated by the problem of conspiracy between idealism and power in the context of critical discourse analysis studies. The domination of power makes idealism lose its resonance as a pillar of truth and justice which is marked by resistance and trust from its readers. This needs to be studied academically with The van Leeuwen's theory in the perspective of critical discourse analysis. The purpose of this study is to photograph the relationship between power and idealism, marginalization, and conspiracies of the mass media and their readers. In Theo van Leeuwen's theory, a problem is analyzed by exclusion and inclusion based on ideology. This type of research is a qualitative research that describes descriptively the problems in the Nusantara column in the North Sumatran Waspada newspaper. The source of the research data was obtained from the Nusantara column in the Waspada newspaper by analyzing the items per sentence according to Theo van Leeuwen's theory. Keywords: Idealism, Power, Critical Discourse Analysis
Word equivalence of the bilingual storybook translation

Equivalence is a very important factor and an inseparable part of a series of translation activities. Equivalence occurs when the linguistic units in the source language have the same meaning when it is transferred into the target language. This study aimed to describe (1) the translation difficulties in achieving word-level equivalence, and (2) the strategies in achieving word-level equivalence. The data sources were excerpts of words, phrases, and sentences from the bilingual storybook with the title Qonita dan Peternak Ayam - Qonita and The Chicken Breeder written by Setiawan G. Sasongko. Document observation was used as the data collection technique, meanwhile content analysis was used as the data analysis technique. The analysis of strategies and difficulties in translation were based on the theory of Baker (2011) and Newmark (1991). The results of the study indicated that the translation of bilingual storybook mostly used a word-by-word and free translation strategy to achieve word-level equivalence. The results of the analysis also revealed several types of difficulties in achieving the word-level equivalence. Those were differences in word forms, differences in the purpose and level of use of certain forms, cultural special concepts, and the absence of subordinate elements in the source language. Meanwhile, the strategies to overcome the difficulties found in achieving word-level equivalence were to eliminate certain words and to utilize more general words. Keywords: translation process, word equivalence, translation strategy, word translation, free translation