Reviewerly/exHarmony huggingface dataset:
VerifyTL: Secure and Verifiable Collaborative Transfer Learning

Getting access to labeled datasets in certain sensitive application domains can be challenging. Hence, one may resort to transfer learning to transfer knowledge learned from a source domain with sufficient labeled data to a target domain with limited labeled data. However, most existing transfer learning techniques only focus on one-way transfer which may not benefit the source domain. In addition, there is the risk of a malicious adversary corrupting a number of domains, which can consequently result in inaccurate prediction or privacy leakage. In this paper, we construct a secure and <i>Verif</i> iable collaborative <i>T</i> ransfer <i>L</i> earning scheme, VerifyTL, to support two-way transfer learning over potentially untrusted datasets by improving knowledge transfer from a target domain to a source domain. Furthermore, we equip VerifyTL with a secure and verifiable transfer unit employing SPDZ computation to provide privacy guarantee and verification in the multi-domain setting. Thus, VerifyTL is secure against malicious adversary that can compromise up to <inline-formula><tex-math notation="LaTeX">$n-1$</tex-math></inline-formula> out of <inline-formula><tex-math notation="LaTeX">$n$</tex-math></inline-formula> data domains. We analyze the security of VerifyTL and evaluate its performance over four real-world datasets. Experimental results show that VerifyTL achieves significant performance gains over existing secure learning schemes.
Influence of Step Parameterisation on the Results of the Reidentification Pipeline

In this paper, research on the influence of parameters’ values in the pipelines of facial-based reidentification systems is presented. It was assumed that the solution should operate in real time in conditions typical of the reidentification system to be used. Such conditions were obtained as part of research regarding the reidentification of aggressively acting people during sports events. Typically, such a pipeline consists of many steps, including facial region detection, frontalisation, embedding, and classification, which are usually evaluated separately. This paper focuses on the parameters of facial alignment and classification in the context of systems based on well-established solutions of Multi-task Cascaded Convolutional Networks coupled with Inception Resnet embedding. The authors propose evaluating the results of the entire pipeline as a way to identify the optimal set of parameters for each step, thus producing a pipeline where the subsequent steps are best fitted to each other rather than giving the best results on their own. The results indicate that the correct selection of parameters of the steps of the pipeline depends on further steps used and vice versa. It is therefore suboptimal to select parameters based on a separately evaluated set of steps, as it is usually presented in the literature. The reidentification pipeline must therefore be evaluated as a whole, disregarding the results achieved by any single part of the pipeline, as they are not an indicator of overall system performance.
GIS-based mineral prospectivity mapping: a systematic study on machine learning at Hezuo-Meiwu District, Gansu Province

Mineral prospectivity mapping (MPM) has been an essential part of mineral exploration; various algorithms have been introduced for detecting mineralization related anomalies from multi-geoinformation including geology, geochemistry, geophysics and remote sensing dataset. With much attention paid to technical development of methods used in MPM, this study proposed new insights into the mineral prospectivity mapping based on our previous studies regarding the applications of different machine learning algorithms for prospects demarcation of the Hezuo-Meiwu District, West Qinling Orogen, China. With applied algorithms, such as maximum entropy model (MaxEnt), random forest (RF), deep auto-encoder network (DAE), convolutional auto-encoder network (CAE), convolutional neural network (CNN) etc., the thesis of this paper highlights the importance of datasets collected and proposed a shift to research on interpretable learning.
Pengaruh Asimetri Informasi, Ketaatan Aturan Akuntansi, Dan Integritas Terhadap Kecenderungan Kecurangan Akuntansi (Fraud) Pada LPD Di Kecamatan Abiansemal

This study aims to determine the effect of information asymmetry, compliance with accounting rules and integrity on the tendency of accounting fraud in LPD in Abiansemal Sub-district. Data were obtained from distributing questionnaires directly to respondents. The population in this study were all LPD employees in Abiansemal Sub-district, totaling 311 people. The number of samples used was 84 people, with a purposive sampling method. The analysis technique used is multiple linear regression analysis. The results of this study indicate that asymmetry of information and integrity have a positive and significant effect on the tendency of accounting fraud. On the other hand, obedience to accounting rules has no effect on the tendency of accounting fraud
An Investigation of Cybersecurity Issues of Remote Work during the COVID-19 Pandemic in Saudi Arabia

COVID-19 pandemic has dramatically changed the public life style as well as the daily work activities across the world.This indeed has led both public and private sectors to attempt to adapt thereby shifting to remote work and adopting and enabling new technologies and online services in order to sustain their businesses while saving people lives.Unfortunately, a decent number of those endeavors have been undertaken unwarily in a hurry without taking the due diligence of all relevant aspects including cybersecurity and privacy.This survey aims at exploring the current state of the practice during the Covid-19 pandemic lockdown and the revolving challenges of using and publishing online services in Saudi Arabia.It also investigates the needs for investment in the cybersecurity field which would increase the trust on and reliability of them; and thus encouraging organizations to move confidently towards the real digital transformation.
Research Progress of Encoder-Decoder Network in Image Fusion

A B S T R A C TImage fusion is a research hotspot in the field of computer vision, which obtains complementary information from the different modal images and then presents it in a comprehensive, highly information-cohesive fused image. Encoder-decoder networks are an important technical method in the field of image fusion. This paper reviewed the research status and development of the Encoder-decoder networks in the field of image fusion from the following aspects: Firstly, the18 image fusion-related datasets and the 22 open-source codes of deep learning-based image fusion are summarized. Secondly, the model structure of encoder-decoder networks and the basic principles for image fusion based on the encoder-decoder network are described. Thirdly, encoder-decoder networks fusion models are summarized into 4 aspects: Convolutional Auto-encoder network(CAE Net), Sparse Auto-encoder network(SAE Net), U-shape Encoder-decoder network(U-net) and Variational Auto-encoder network(VAE Net),in U-net, there are 5 types: U-net incorporating residual connection mechanism (Res U-net), U-net incorporating dense connection mechanism (Dens U-net), U-net incorporating multiscale connection mechanism (MS U-net), U-net incorporating attention mechanism (Att U-net) and U-shaped Encoder-decoder networks(U-net) combined with Generative Adversarial Network(GAN U-net). Fourthly, the existing image fusion evaluation metrics are summarized from both subjective and objective aspects. Fifthly, the application of Encoder-decoder network in 5 kinds of image fusion, such as multi-exposure image fusion, multi-focus image fusion, infrared and visible image fusion, medical image fusion and remote sensing image fusion are summarized. Finally, there is a discussion of the main challenges faced by encoder-decoder networks in the image fusion domain and an outlook on future directions. This paper systematically analyzed the application of encoder-decoder networks in the image fusion areas, which has positive implications for the progress of image fusion technology.
Overview of Challenges of NFT Marketplaces and Introduction to Elixer

Abstract: The NFT marketplace is a bustling arena, where individuals can buy, sell, and exchange Non-Fungible Tokens (NFTs). Much like a stock market, NFT marketplaces allow for the buying, selling, and trading of digital assets. In this research paper, we delve into uncharted territory by proposing a revolutionary approach to trading NFTs - the utilization of in-app coins, low gas fees, and a centralized network. We scrutinize the current NFT marketplace landscape, highlighting the most popular platforms and the dilemmas faced by users. Our research begins with a comprehensive overview of NFTs and how they differ from other fungible digital assets. We then present a novel method of trading NFTs, which utilizes in-app coins, aimed at improving the performance and usability of the marketplace. However, it is important to acknowledge that this new approach is not without its drawbacks, and we will examine them in detail. The implications of NFT marketplaces and digital ownership are far-reaching, encompassing both environmental and legal concerns. This research paper provides ideas applied in the use cases of industries towards innovative growth.
Investigative Journalism Is Global

In the new world of Investigative Journalism, technology and globalisation have connected and energised journalists, whistle-blowers and the latest players, with far-reaching consequences for politics and business worldwide. Crowdsourcing, big data, globalisation of information and changes in media ownership and funding have escalated the impact of investigative journalists. This can be seen in investigative journalism from around the world, from the exposure of EU corruption to destruction of the Malaysian environment and investigations in China, Poland and Turkey. From Latin America to Nigeria, India to the Arab world, investigative journalists intensify their countries’ evolution by inquisition and revelation. This essay introduces how investigative journalism has gone digital and global.
THE USE NOUN PHRASE AND ADVERB PHRASE IN SENTENCE OF SIMPLE PAST TENSE ON RECOUNT TEXT

The purpose of the research is to describe and interpret the use of noun phrases and adverb phrases in simple past tense sentences in the recount text made by students of SMP IT Bunayya and SMP Permata Insani in Tangerang Regency.As many as 226 students as samples.The study took 10% of the total of 25 student writings.The method of this study used description analysis to describe and interpret recount text made by students.The results of this study concluded that; 1) Student errors in using of noun phrases in writing recount text found omission error as much as 78%, misformation error as much as 9%, addition error as much as 7% and misordering error as much as 4%.2) Student errors in using of adverb phrases in writing recount text found omission error as much as 75%, addition error as much as 11%, misformation error as much as 6%, and misordering error as much as 7%.3) The most dominant mistake of using noun phrases and adverb phrases made in omission error with a percentage as much as 75%
PENGARUH EFEKTIVITAS SIA, LINGKUNGAN KERJA FISIK DAN INSENTIF TERHADAP KINERJA INDIVIDU PENGGUNA SIA PADA LPD DI KECAMATAN ABIANSEMAL

The achievement of an organization or association can be seen from the exhibition of every person. The organization or association anticipates that employees should have the option to finish their jobs well and produce data in an ideal and exact way. The motivation behind this review is to discover the impact of the viability of bookkeeping data frameworks, actual workplaces and impetuses on the singular presentation of clients of bookkeeping data frameworks at town credit foundations in Abiansemal subdistrict. The example in this review was 34 LPD in Abiansemal District with a sum of 102 respondents. The inspecting technique in this review utilized purposive examining. The information investigation procedures utilized are legitimacy test, unwavering quality test, old style suspicion test, numerous straight relapse examination, assurance coefficient (R2), F test and t test. The aftereffects of this review showed that the adequacy of bookkeeping data frameworks affects the singular presentation of clients of bookkeeping data frameworks, the actual workplace influences the singular exhibition of clients of bookkeeping data frameworks and motivating forces have no impact on the singular presentation of clients of bookkeeping data frameworks.
Actualization of the trial action in the practice of designing career strategies for students of additional professional programs

Показан ход научно-исследовательской работы по формированию организационно-педагогической модели тьюторского сопровождения пробных действий при проектировании индивидуальной карьерной стратегии обучающихся в процессе реализации личностно ориентированных программ дополнительного профессионального образования. Представлена структура разрабатываемой авторами модели (цель, теоретико-методологические основы и принципы, организационно-педагогические условия, критерии результативности). Продемонстрированы результаты исследования по итогам пилотного эксперимента по внедрению разработанной модели в практику дополнительного профессионального образования, на основании которых сделаны выводы о корректировке модели и перспективах дальнейших исследований в данном направлении. The paper shows the course of research work on the formation of the model of tutor support of probationary activities in the design of career strategy of students in the process of implementation of personality-oriented programs of additional vocational education. The structure of the model (purpose, theoretical and methodological foundations and principles, organizational and pedagogical conditions, performance criteria) is presented. The article shows the results of the research by the results of the pilot experiment in the implementation of the developed model in the practice of additional professional education. The conclusions about the model adjustment and perspectives of further research in this direction are made. The necessity of supplementing the formed organizational and pedagogical model of tutor support for trial actions when designing an individual career strategy of students in the context of the implementation of personality-oriented programs of additional professional education through: strengthening three lines of individualization in the tutor support of the program (organizational, program-methodical, pedagogical); creating conditions for the preparation of a team of tutors to work within a specific program additional professional education by creating its demo version; development of criteria for the selection of tutors to work in the program, taking into account their professional and individual personality characteristics, the ability to work with different categories of students; expansion of the reflexive component in the work of tutors; collection of cases on the topic of the implementation of trial actions in the design of the career strategy of students in the conditions of additional professional education and the development of methods of their use for practical classes and consultations within the framework of the program.
Pengaruh Kekuasaan/Power Guru dan Penggunaan Bahasa melalui Interaksi Kelas pada Mata Kuliah Bahasa Inggris

This study aims to discuss how the influence of lecturer power and the use of language in classroom interaction on effective learning. This study investigates lecturer discourse and lecturer-student discourse communities in the classroom. Through this explanation of critical classroom discourse analysis, the researcher proposes to distribute the concepts of classroom interaction between teachers and students. It explains the role of lecturer power and the use of language in classroom interactions to create characteristics and good learning outcomes. The analysis of this study is based on the theory of critical classroom discourse analysis in which lecturer power and language use are incorporated from Fairclough's theory. The method used in this study is a descriptive qualitative research method that discusses data in the form of words and is not displayed as numerical data. The instrument in this study was a student of the Islamic Education Study Program who was an EFL (English Foreign Language) student in fifth semester at Hasyim Asy'ari University, Tebuireng, Jombang. The results showed that the lecturer's power and the use of language through classroom interactions had a positive influence on classroom interactions and could contribute to the student's learning process. The greater the influence of the lecturer's power and mastery of language as well as good classroom interaction will result in effective learning.
PENGARUH KEMAMPUAN TEKNIK PEMAKAI SISTEM INFORMASI AKUNTANSI DAN KETIDAKPASTIAN TUGAS TERHADAP KINERJA SIA DENGAN PENDIDIKAN DAN PELATIHAN SEBAGAI VARIABEL MODERASI

Bookkeeping Information Systems will be frameworks that gather, store and cycle monetary and bookkeeping information utilized by chiefs. Bookkeeping data is for the most part a PC based framework and a strategy for following bookkeeping exercises according to data innovation assets. This examination means to decide the impact of the client's specialized capacity, task vulnerability on AIS execution and to decide the directing impact of the client's specialized capacity and assignment vulnerability in instruction and preparing. This examination was led at the LPD North Kuta District. The example in this examination were 85 representatives engaged with the utilization of bookkeeping data frameworks. The testing technique utilized in this investigation was purposive inspecting. The information examination method utilized in this investigation was Smart PLS 3.0. The outcomes showed that the User Technical Ability variable had a positive and huge impact on AIS Performance, Task Uncertainty had a positive and unimportant impact on AIS Performance, Education and Training Interaction with User Technical Ability couldn't reinforce AIS. Execution, yet Education and Training interfaces with Uncertainty Tasks can fortify AIS Performance.
Research and Discussion on Management of Hydrologic Survey Driven by New Generation Information Technology

Since the 1970s, the Bureau of Hydrology, Changjiang Water Resources Commission has carried out research on automatic flood reporting, innovation of hydrometry methods, and improvement of “one station, one policy” monitoring and reporting capabilities, laying a technical foundation for the development of hydrologic survey; the construction of Web-based intelligent hydrometry system (“WISH” system) has been carried out, laying an information foundation for hydrologic survey. Through the research and practice in recent years, the management system of “Mainly patrol survey, combining standing survey with patrol survey” has been gradually established. However, while liberating the productive forces, hydrologic survey also brings some new problems, such as the marginalization of survey stations, hollow management, low survey efficiency and idle assets. Therefore, based on a comprehensive understanding of the management of grass-roots stations, equipment and facilities, and the development of patrol survey, the paper studied and discussed the management mode of hydrologic survey driven by the new generation of information technology in combination with new technologies such as computer vision and machine learning.
Certain Iterative Methods to Solve System of Equations by Python Programming

In the 1980s and 1990s, a field known as scientific computing or computational science began to emerge as a result of the increasing significance of using computers to carry out numerical operations in order to solve mathematical models of the world. This paper examines numerical analysis’s application from a computer science view point; see[3][4][5].In this paper, Iterative methods like Gauss Jacobi and Gauss Serial were used to solve the system of simultaneous equation by using Python Programming.
Combining Structural Health Monitoring and Earthquake Early Warning Techniques for an Enhanced Monitoring System

Advancements in Civil Engineering & Technology Combining Structural Health Monitoring and Earthquake Early Warning Techniques for an Enhanced Monitoring System Shieh-Kung Huang* Assistant Professor, Department of Civil Engineering, National Chung-Hsing University, Taiwan *Corresponding author:Shieh-Kung Huang, Assistant Professor, Department of Civil Engineering, National Chung-Hsing University, Taiwan Submission: December 16, 2022;Published: January 05, 2023 DOI: 10.31031/ACET.2023.05.000613 ISSN: 2639-0574 Volume5 Issue3
Policy of providing open-access e-books at LIPI during the Covid-19 pandemic

The policy of providing open-access e-books is one form of information disclosure carried out by LIPI in building a public facility in the form of a credible and innovative source of scientific literacy, particularly related to scientific publications of publicly funded research results. This research analyzed the policy of providing LIPI e-books in 2020-2021 in the Covid-19 pandemic. This study used a qualitative approach with a case study method. Data collection was carried out in May-June 2021 through in-depth interviews with two informants, a literature review, and observation of document searches related to the policy of providing open-access e-books at LIPI Press. The results indicated that the policy was fulfilled by implementing the Local Knowledge Acquisition Program and the Open Monograph Press (OMP) electronic publishing system. This policy has effectively increased the visibility, accessibility, and usefulness of scientific books during the Covid-19 pandemic. This can be seen from the increasing number of access to LIPI Press e-books provided through OMP throughout 2020-2021. However, the lack of understanding of open access among the public is a challenge in providing e-books. At the same time, the limited number of human resources who handle the electronic publishing information technology system is a fundamental problem in developing an e-book publishing system. This study concludes that the basis and implementation of the policy for providing open-access e-books are feasible to be maintained and improved, especially as a form of accountability for public funds used for public knowledge sources.
Instrumen Literasi Digital Guru Menggunakan Model Rasch

The development of digital technology provides a significant role in the learning process. However, its utilization is very closely related to the skills possessed by the teacher. These skills can be identified with digital literacy instruments. This study aims to measure the accuracy and feasibility of digital literacy instruments for teachers. The type of research used is descriptive quantitative with a non-experimental/survey research design. The research sample consisted of 96 teachers teaching at the State Aliyah Madrasah in Palembang City, South Sumatra. The research data was obtained from an analysis of the teacher's digital literacy instrument questionnaire. Data were analyzed using the Rasch model. The results showed that the item separation value was 3.54 where the instrument could identify the respondent's group. The item reliability value is 0.93 which is categorized as very good. The Cronbach Alpha value is 0.90 which indicates that the value is very good and consistent. The raw variance explained by measures is 31.8% where the instrument is actually able to measure what it should measure. The classification of the difficulty level of the instrument categorized as very difficult, difficult, easy, and very easy. The results of the DIF analysis show that there are no items that are biased or only biased and detrimental to one gender. So it can be concluded that the instrument meets the requirements and can be used as material to measure the digital literacy abilities of teachers at MAN Palembang City.