Reviewerly/exHarmony huggingface dataset:
Persepsi pengguna e-Repository di Badan Tenaga Nuklir Nasional

The establishment of an institutional repository is to store intellectual assets in digital form in a single repository to facilitate retrieval, provide open access to promote scientific work produced, and detect plagiarism. The National Nuclear Energy Agency (BATAN) developed the institutional repository as an e-Repository, to save research results; however, the use of e-Repository by users has decreased. This study aimed to determine the perception of e-Repository users in the National Nuclear Energy Agency. The study used a descriptive research method through a quantitative approach. Using a stratified sampling technique, research respondents were 349 people from a total population of 1,148 users. The results showed that respondents who knew the term repository were 13.90%, e-Repository was 19.35%, and 5,18% saved documents to e-Repository. The willingness of respondents to use e-Repository and deposit their work was 29.38%, respondents who did not know but would deposit their work was 51.49%. User's understanding of the types of library materials stored in the e-Repository were articles published in journals was 47.19%. At the same time, respondents who understood the purpose and benefits of e-Repository were 54.82%. Users did not save documents to the e-Repository because they doubted the security was 25.71%. The study concludes that the respondents do not fully believe in the security of the data stored in the BATAN e-Repository. However, they realize that it will be easier to retrieve documents stored in the e-Repository.
USE OF ICTs FOR INCLUSIVE EDUCATION: POSSIBILITIES AND CHALLENGES

Right to Education is the primary right of every citizen of India, whether a child resides in a high profile society or in a far away not so developed secluded village, according to the Article 45 of Indian Constitution the basic elementary education must be provided to all the children up to the age of fourteen years. Information and Communication Technology (ICT) can be utilized for the education sector. Education includes online, distance and part time education. There are unlimited applications of ICT in the real world. In his paper emphasis is on the education field. ICT can be used for providing education to the people who are not able to come to school due to various constraints. ICT can play great role in formal and non formal forms of education. Inclusive Education proposes all students are provided with equitable access to education within the context of a mainstream educational system and not in a segregated setting. There is now significant international and national legislation and policy in support of this model but for many countries achieving this ideal is proving to be a difficult reality. Accessible ICTs have a major role to play in enabling educational authorities, educators, students and parents to move towards a more inclusive educational system. However its role as a communication aid, pedagogical tool and means of access to previously inaccessible learning materials is still, in many countries, only just beginning to be explored. KEY WORDS: ICT, Inclusive Education, Benefits, Challenges, Policy Development
Blockchain Technology and Small and Medium Enterprises Access to Finance

Small and medium enterprises (SMEs) are essential in developing the world economy. However, they face financing distress due to high information asymmetry and lack of collateral and credit. From the enterprises sustainable development perspective in the big data era, this study explores whether and how blockchain technology can alleviate the information asymmetry problems of SMEs and further improve the convenience of accessing finance. Blockchain technologys decentralized, unchangeable, and transparent natures can reduce information asymmetry between SMEs and the financing parties. SMEs become more creditable to the bank with a more transparent share of businesses operation information and financial conditions based on blockchain. At the same time, market investors can also learn more about the operation of corporate funds. Overall, this study provides new insights on how to use blockchain technology to increase SMEs development efficiency by lessening information asymmetry, reducing the cost of equity and bond financing for SMEs, and effectively reducing SMEs financing difficulties in this age of big data.
Analysis of Whether Bitcoin Can Help Individual Investors Hedge Their Risks as a Safe-haven Asset

Nowadays, investment in Bitcoin has become the focus of many investors. Many researchers have conducted a lot of research and discussion on the value of Bitcoin. To this day, there is still a lot of debate about the investment value of Bitcoin. This paper mainly reviews the origin of Bitcoin, its development degree in todays economic life, and some of its advantages and disadvantages based on relevant literature research. The author compares it to Safe-Haven Asset from an investors point of view. Bitcoin investments are still, in many ways, less safe-haven and valuable than traditional gold, for example. Finally, it is concluded that investors should not use Bitcoin as a safe-haven asset to make a lot of inappropriate investments.
Students' Perceptions on The Use of Mind Mapping Technique in Writing Class

The use of mind mapping in the EFL classroom especially in writing class is imperative to fill the educational needs of the younger generation. There are few studies conducted on students’ perceptions of using mind mapping to learn the writing English language. This research aimed to investigate the students’ perceptions of the use of mind mapping in learning the writing English process at junior high school, MTsN 2 Makassar, Indonesia. Data were collected using a questionnaire that collected a five-point Likert scale to gauge the students’ perception of the use of mind mapping in writing EFL classrooms. Findings from this research indicate that most students showed a strongly positive category according to the range of students’ perception scores. Therefore, the students have a strongly positive attitude to use mind mapping in their writing skills. The use of the mind mapping technique is very interesting to the students, so they are motivated to write a paragraph.
Cognitive Psychology in Artificial Intelligence —Three Levels of Conscious Processing

In this paper, from the perspective of the intersection of cognitive psychology and the field of artificial intelligence, we present the three levels of conscious processing proposed by Dehaene et al. They are unconscious processing (C0), consciousness in the first sense (C1)-global availability, consciousness in the second sense (C2)-self-monitoring. The paper also cites an empirical evidence for the intersection of the two fields and summarizes some researchers’ questions about whether the two can intersect.
EFFICIENT AND EXPRESSIVE SEARCH OVER ENCRYPTED DATA WITH MULTI FACTOR AUTHENTICATION SCHEME

More data owners are tempted to outsource their data to cloud services as a result of the development of cloud storage. Sensitive data should be encrypted before being outsourced due to privacy concerns. To assure data availability, a variety of searchable encryption techniques are used. However, the effectiveness of data consumers' queries is not given much consideration by the current search algorithms, particularly in the case of several owners. In this study, linguistic coefficients are used to create an encrypted search index. In particular, the encrypted search index utilizing Lagrange co-efficient makes use of secure inner-product calculation for both search and relevance assessment by taking into account a sizable amount of data in the cloud. A system architecture of preferred search over encrypted data in the cloud scene is built, and the requirements in terms of efficiency and privacy are specified. This enables the clo ud servers to do a secure search without knowing any sensitive data (e.g., keywords and trapdoors).For each data owner, the Lagrange coefficient is used to build indices that can support searches over numerous keyword fields and enable accu rate relevance computation in order to produce an efficient search.To protect user data privacy, a multifactor authenticati on technique might be utilised.After logging in to the system, the user will receive three different sorts of authentications, including an OTP utilizing a number, a captcha, and an OTP image. This picture will serve as a key. In order to accomplish secure search and relevance score calculation, the user's preference and the search query are expressed in vector form. Additionally, Preferred Search over Encrypted Data (PSED) is consistent with cloud computing's scalability and adaptability. Finally, a thorough security study verifies the security of our scheme, and a performance analysis highlights its effectiveness and efficiency. Keywords: Encrypted Data, Inner product calculation, Multifactor authentication, Data privacy
IMPLEMENTASI MANAJEMEN BANDWIDTH BERBASIS MIKROTIK MENGGUNAKAN METODE PCQ (PER CONECCTION QUEUE) PADA SMK YAJ DEPOK

Abstract. Over time, the development of Information Technology is increasing rapidly, in which almost every company has a computer network that supports the flow of information within the company. YAJ Depok Vocational School is an example of an internet user engaged in education. The slow internet network is often complained of by SMK YAJ Depok school employees because one or more clients/users use the network because the activities of each user are downloading and uploading simultaneously which will result in uneven bandwidth on the network. With this problem, a solution was made for the problem that was at SMK YAJ Depok, it was necessary to implement bandwidth management with the MikrotikOS router to distribute bandwidth evenly to active clients/users using the PCQ (PER Connection Queue) method. Aims to provide and maximize the optimal use of bandwidth to each client. With the implementation of the implementation of bandwidth management using the PCQ (PER Qonection Queue) method, it can produce fair and equitable bandwidth usage for each client
PACMHCI V7, MHCI, September 2023 Editorial

We have witnessed astonishing progress in mobile and ubiquitous technology in the past two decades. Our interaction-supporting devices have become increasingly capable and diverse, while the supporting infrastructure, including heterogeneous networks and cloud computing, has matured to enable our vision of a ubiquitous computing environment. As we navigate this new frontier, we find ourselves pondering the words of Bill Buxton: "Now that we can do anything, what should we do?" and, more importantly, "How should it work?" Buxton's thought-provoking statement urges us to shift our focus towards methodological considerations and, crucially, ethics. The MobileHCI community, as a whole, recognizes the importance of ethical practices in shaping our field. While our work has often touched upon privacy-maintaining interactions and service provision, it is time to delve deeper into the ethical dimensions of our research and design choices.
Exploring Digital Communication Needs of Local Communities and Self-organized Collectives

Recent work in HCI has explored the use of ICTs for the mobilisation and organisation of values-led communities and social movements. This paper extends this line of work by exploring the design of a communication system for informal, place-based citizen collectives-also referred to as Social Solidarity Movements. The distinctive characteristics of such collectives, namely their decentralised, bottom-up and self-organised organisation, and their lack of monetary resources, pose interesting challenges for communication technology design. The work reported in this paper sought to explore how the values and practices of such collectives can be embodied in mobile communication tools. A system was designed to mirror on-the-ground informal organisational structures, its primary goal being to serve as a probe for research and discussion. Our findings highlight the diversity of channels and organisational structures prevailing in these contexts, their participatory nature, and issues of temporality, anonymity, privacy, and trust, all of which must be considered when designing technologies to support cooperative work. We contribute methodological insights and design implications for mobile technologies underpinning the work of social collectives and their practices.
The Spectre of Woke and the Reality of Academic Freedom

Woke culture may clash with academic freedom. Controversial statements about e.g. sexuality or gender by academics can either be seen as protected by academic freedom, or conversely as inadmissable attack on lgbt-affiliated co-workers. Using a recent Dutch university case as a model example, this article investigates the relation between freedom of speech and academic freedom, especially as it applies to woke culture. Core issues in the culture wars around woke are identified and discussed in relation to cultural disruption represented by philosophies like that of Derrida and Foucault. It is concluded that although woke philosophy drew crucial inspiration from such philosophies, it ironically drew completely opposite conclusions regarding freedom expressed in and as language.
Long-form recordings in low- and middle-income countries: recommendations to achieve respectful research

The last decade has seen a rise in big data approaches, including in the humanities, whereby large quantities of data are collected and analysed. In this paper, we discuss long-form audio recordings that result from individuals wearing a recording device for many hours. Linguists, psychologists and anthropologists can use them, for example, to study infants’ or adults’ linguistic behaviour. In the past, recorded individuals and communities have resided in high-income countries (HICs) almost exclusively. Recognising the need for better representation of all cultures and linguistic experiences, researchers have more recently started to collect long-form audio recordings in low- and middle-income countries (LMICs). We aim to help researchers to collect, analyse and use these recordings ethically. To do so, we identify four main ethical challenges linked to research that relies on long-form recordings in LMICs. We provide recommendations to overcome these challenges. These considerations should be useful to researchers employing other big data techniques collected via wearables.
Implementasi Algoritma Searching Untuk Pencarian Produk dan SMTP Sistem Pengiriman Email pada Toko Ono Celluler

Globalization makes all developments so fast, one of the factors that makes developments develop rapidly is technology. Technology was created to facilitate the work of everyone who needs it, one of them in large and small businesses. In the case of Ono Celluler Stores where they carry out several business activities using manual methods, these activities include recording sales, stock management, and employee management. Some of the activities currently implemented by Ono Celluler make doing business too long and ineffective. Apart from several problems that occur, Ono Celluler has a weakness in the introduction of Ono Celluler itself. This will affect what Ono Celluler is. The purpose of this research is to make an application that is able to solve problems that occur in Ono Celluler, this application will have a searching algorithm to make it easier for application users to find what products are available on Ono Celluler and features to help users. The Ono Celluler application will also have an information system to manage and monitor the products available at the Ono Celluler Store, besides that there will be a send mail feature to send formal emails from Ono Celluler. Research conducted using the waterfall method concluded that Ono Cellular's business processes can be carried out efficiently, difficulties in finding products are resolved properly using the searching algorithm. And employees can carry out business processes that are more organized and more formal using SMTP.
Analysis of the attack effect of adversarial attacks on machine learning models

The use of neural networks has produced outstanding results in a variety of domains, including computer vision and text mining. Numerous investigations in recent years have shown that using adversarial attacks technology to perturb the input samples weakly can mislead most mainstream neural network models, for example Fully Connected Neural Networks (FCNN) and Convolutional Neural Networks (CNN), to make wrong judgment results. Adversarial attacks can help researchers discover the potential defects of neural network models in terms of robustness and security so that people can comprehend the neural network models' learning process better and solve the neural network models' interpretability. However, suppose an adversarial attack is performed on a non-deep learning model. In that case, the results are very different from the deep learning model. This paper first briefly outlines the existing adversarial example technology; then selects the CIFAR10 dataset as the test data and LeNet, ResNet18, and VGG16 as the test model according to the technical principle; then uses the Fast Gradient Sign Attack (FGSM) method to conduct attack experiments with the CNNs and traditional machine learning algorithms like K-Nearest Neighbors (KNN) and Support Vector Machine (SVM); then analyze the experimental results and find that the adversarial example technology is specific to the deep learning model, but it cannot be completely denied that adversarial examples have no attack effect on traditional machine learning models.
Sentimental analysis for clothing dataset

In recent years, sentiment analysis has been applied to various fields, including politics, business, education, etc. Simultaneously, with the development of science and quality of life, clothes have become an increasingly important part of people's daily lives, especially women. In this research, using Natural Language Processing, we interpret a dataset about clothing by trying different approaches, which include other models (CNN, RNN, and LSTM), different optimizers (Adam, RMSProp, and SGD), and different hyper-parameters (Epochs, Batch Sizes, and Learning Rate). Then, we analyze the influences of those approaches by all kinds of valuation standards. Ultimately, we improve our accuracy by 8.0 %.
Design and implementation of an intelligent generation method of simulation scenario based on knowledge graph

An intelligent generation method of simulation scenario based on KG(knowledge graph) is designed and implemented. The KG is constructed by linking multi-source simulation model entities with global features based on RL(reinforcement learning). An entity alignment algorithm suitable for simulation model matching and a script generation method based on DOM are designed to realize intelligent generation of simulation scenarios. Finally, taking the "multi-dimension projection" action as an example, the simulation scenario is generated and the simulation system is driven to run according to the scheduled action sequence, which verifies the effectiveness of this method.
A Comparative Study of Blockchain and Cryptocurrency Regulations Between Western Australian and Albertan (Canada) Legislation

A blockchain is a sort of database. A blockchain is essentially a network of computer systems that have duplicated and disseminated a digital record of transactions, with each block in the chain containing different transactions. Digital or virtual currency in the form of cryptocurrencies, the majority of which are decentralized networks based on blockchain technology. The chapter gives a framework for understanding the origins and purposes of blockchain and cryptocurrency, as well as the advantages and disadvantages of blockchain. In this study, we also covered the blockchain and distributed ledger systems, which use a mentoring consensus technique to record and verify transactions. The global cryptocurrency regulation, as well as the legal challenges linked with blockchain, have been thoroughly examined. In addition, the present study discusses the current state of cryptocurrencies in India. As a result, cryptocurrency and the blockchain technology that powers it are frequently regarded as new and advanced.
The theory of elliptic sentences in domestic Russian philology: A systematic review

The aim of the review is to summarise scientific knowledge on the theory of elliptic sentences in Russian grammar. At the same time, the author identifies two main areas in the study of elliptic sentences based on the degree of their independence as syntactic forms. The paper examines the main problems of the theory of incompleteness and ellipticity in linguistics from its inception to the present, analyses the scientific and educational literature on this issue, assesses the current state and current issues of the theory of ellipsis. The scientific novelty of the study lies in the fact that the conducted review systematises research on the problem from a new perspective and also determines the current state of the issue. As a result of examining the evolution of Russian linguists’ views on the problem of syntactic incompleteness, relevant structural and semantic features of an elliptic sentence were identified. The review shows that modern linguistics has developed an understanding, on the one hand, of the semantic and structural self-sufficiency of an elliptic sentence and, on the other hand, of its fundamental difference from incomplete speech forms.
Pengembangan Instrumen Penilaian Afektif Berbasis Problem Based Learning Sebagai Upaya Preventif Darurat Narkoba Pada Siswa SMA Negeri 15 Semarang

Education plays a very important role in building the character of teenagers to be more aware of the dangers of drugs. Moreover, the implementation of the 2013 curriculum emphasizes building a strong character for each student. This is based on the many occurrences of deterioration of the nation's character which can be seen from the many acts of corruption, violence, drug abuse and other actions. This is what underlies this research as an emergency drug prevention effort in adolescents, especially high school students. The development of assessment instruments using R &amp; D according to Sugiyono. The attitude assessment instrument developed is used as a solution and can be used as an alternative for teachers in conducting the process of assessing adolescent attitudes towards drug emergencies in accordance with the 2013 Curriculum. The object of research data sources are students of class XI.IPS.1 and class XI.IPA.2 SMAN 15 Semarang , the data were obtained through the validity and reliability of the attitude assessment observation sheet, the process of developing an instrument for assessing honesty, discipline, responsibility and caring for drug emergencies each consisting of 4 indicators, the assessment instrument was valid according to 2 (two) validators in the curriculum and field of study. learning evaluation. The assessment instrument is said to be effective/successful, because the results of the instrument reliability analysis produce an r table value of 0.9997 for all subjects, this number exceeds the r coefficient value of the benchmark value of (0.6). This assessment instrument is good to use to provide students with objective views and attitudes in highlighting the dangers of drugs to stay away from their abuse.