Reviewerly/exHarmony huggingface dataset:
Secured Reversible Data Hiding Scheme with NMI Interpolation and Arnold Transformation

A novel and efficient 2-level secure reversible data hiding (RDH) method has been proposed based on image interpolation and Arnold transformation. An input image is scaled-down to original image and then scaled up to cover image using NMI interpolation method. The gray values of pixels are classified into a set of ranges. A difference value is calculated from adjacent pixels and it is used to find out the lower bound and upper bound of the range interval to which it belongs to. Before embedding, the secret data is scrambled using Arnold transformation implementing the 1st level security of proposed method. The scrambled secret data again updated to modified secret message to implement 2nd level security of proposed scheme. The input image is taken as reference during data embedding phase to raise the quality of the stego image. The experimental analysis shows that the proposed method has relatively higher imperceptibility and data embedding capacity than other schemes.
Secure Data Communication Through Improved Multi-level Pixel Value Ordering Using Center-Folding Strategy

In this research, a high capacity reversible data concealing strategy has been developed for secure data transfer utilizing multi-level pixel value ordering (MPVO) and center-folding strategy. Center-folding strategy was first used to insert hidden information into an interpolated cover picture, creating dual marked images (DMI). Subsequently, multi-level pixel value ordering uses to incorporate more hidden information on dual marked images. The center-folding approach has been used in this case because it offers the benefit of compressing important hidden information via averaging. By using neighboring and reference pixels, MPVO, on the other hand, offers the ability to embed an image block with more than two pixels. The secret data’s changing size and the varying picture block sizes required for effective embedding make the suggested technique very adaptable. In comparison with the previous state-of-the-art approaches, the experimental results reveal that the suggested method is particularly suited for embedding more concealed data without degrading the visual quality of the picture. The expected outcome brought to light several outstanding capabilities in the fields of covert data transmission, tamper detection, and digital forgery detection, without which the development of technology would be severely hindered. This program greatly benefits several aspects of the public and corporate sectors, such as health care, business security, defense, and rights to intellectual property.
Bridging Theory and Practice in Private Higher Education: Pedagogical Innovations for the Digital Age

With the application of big data in the information age, the popularization of artificial intelligence and the coming of the network society, the traditional university education model has been severely impacted and challenged. It is an inevitable trend for higher education to adapt to the new social development reality and make corresponding adjustment and reform. Traditional university education pays attention to the imparts of theoretical knowledge and the cultivation of practical ability, but in the information age, students can get rich information and knowledge through the Internet, thus weakening the monopoly of traditional education. In addition, the popularity of artificial intelligence technology also means that some traditional teaching activities can be replaced by automation and intelligence, and the value chain of traditional education has been reshaped. The rise of the network society has also posed new challenges to the traditional university education model. The network society is characterized by a high degree of information sharing and exchange, and students can access various online educational resources and learning opportunities through the network platform. Therefore, traditional university education needs to find a new positioning and role, pay more attention to cultivating innovative ability, practical ability and teamwork ability, and provide students with more competitive comprehensive ability. Faced with these challenges, higher education must make corresponding adjustments and changes. The article carries out relevant research and puts forward specific countermeasures, mainly to update the educational concept, change the educational mode, and focus on cultivating students’ innovative thinking and problem-solving ability. It is necessary to develop diversified educational resources, meet social needs, strengthen cooperation with industries and enterprises, and provide professional education that matches market demand. At the same time, it is also necessary to actively develop online and distance education, make full use of online platforms and technological means, and provide flexible and diverse learning opportunities.
The Implementation of Quizziz as Assessment for Learning in English as A Foreign Language: The Teacher’s Perspective

This research aims to (1) describe the implementation of Quizizz as an English Language Learning Assessment for Teachers at SMP 1 Nusa Penida. (2) identify the Teacher problem in implementing Quizizz as Assessment for Learning English at SMP 1 Nusa Penida. (3) investigate what EFL Teacher at SMP 1 Nusa Penida overcome the problems that they faced in implementing Quizizz as Assessment for Learning English at SMP 1 Nusa Penida. The method of this study was a descriptive qualitative. The subject of this study is one English teacher at SMPN 1 Nusa Penida. This study concluded that the implementation of Quizizz as Assessment for Learning in English learning process in seventh grade especially about the characteristic of Assessment for Learning runs according to the theory used as a reference. The indicators used to test the problems faced are theory about the characteristic of Assessment for Learning by Tetahuhu o te Matauranga. This study also concluded that there were several strategies found used to solve several problems faced by teachers when implementing Quizizz as Assessment for Learning in English learning process.
Selective Text Encryption Using RSA for E-governance Applications for Pdf Document

When data travels through an insecure medium, security must be enforced. The confidentiality of the exchanged data must be guaranteed with the help of encryption techniques. Selective encryption is a very powerful tool for encrypting textual data in a resource constrained environment. In the context of e-governance, textual data is very important and must be protected from any kind of security threat using selective text encryption. In this paper, a fast and efficient selective encryption technique based on an RSA asymmetric key encoding approach is presented. After fetching the whole textual information in the encryption phase, the user will search for a particular word or phrase using regular expression. After that, the selected data will be encrypted using the RSA-1024-bit algorithm and written to a new encoded document with the remaining text data. In the phase of decoding the data, only the encoded text of the document is considered. The experimental result confirms that the encrypting method is secure in terms of statistical security tests and fast in terms of computation time. Our encoding method can be implemented to encrypt any multimedia data like images, audio, and videos. This proposed technique can be used in IOT devices where resources are limited.
A strategy for German writing learning with ChatGPT: Focusing on A2 writing ability evaluation of the German language proficiency test

This paper aims to provide a direction for self-directed German learning using artificial intelligence by analyzing the possibilities and limitations of employing ChatGPT in the writing section of the German education field (DaF). This paper attempts to discuss specific strategies for the utilization of ChatGPT in German writing instruction. Additionally, this study assesses the extent to which ChatGPT can evaluate the email writing texts of learners taking the German Proficiency Test at the A2 level. Furthermore, it examines the capacity of ChatGPT to identify linguistic errors, including lexical, sentence, and grammatical errors, along with discussing the associated challenges, limitations, and potential solutions for these learning methods.
FPGA-Based Encryption for Peer-to-Peer Industrial Network Links

Securing company networks has become a critical aspect of modern industrial environments. With the recent rise of Industry 4.0 concepts, it became essential to extend IT security across increasingly connected factories. However, in the highly specialised field of operations technology and embedded systems, not every device can run additional security measures, as they are old or designed with sparse resources. We introduce here the concept of a “universal” encryption device that enables the securing of communication links in a direct peer-to-peer industrial setting by using the AES-128 encryption standard. We propose a design of such an encryption device by developing a modular system architecture with decoupled communication and cryptography. The resulting architecture is implemented as a proof of concept for Ethernet communication and tested through simulation as well as on an FPGA device. The impact of the encryption device is briefly investigated in a lab setup, followed by conclusions on system stability and performance.
TEACHER’S BELIEFS IN EFL WRITING INSTRUCTION: A CASE STUDY OF AN ENGLISH LECTURER AT PADANG STATE POLYTECHNIC

Investigating a teacher's beliefs in language teaching is something that needs to be explored. Especially in teaching EFL Writing, examining language teacher beliefs is interested because it can be a benchmark for educators on how EFL Writing teaching happens. In addition, teacher beliefs will also help teachers and learners understand the process of learning. There have been many studies on teacher beliefs towards various English language teaching in Indonesia. However, most of these studies discuss teacher beliefs at the high school level. There is a lack of research on teacher beliefs at the university level. This study focuses on teacher beliefs research on EFL Writing teachers at the university student level. This research used a qualitative method with a case study research design. Observation and in-depth interviews are the instruments of this research. The object of the research is an experienced lecturer at Padang State Polytechnic who has been teaching EFL Writing for approximately 11 years. The results of this study show that the lecturer has several teacher beliefs that he believes to be the basic principles in teaching EFL writing. In addition, in the classroom practice, the lecturer used explicit teaching strategy in teaching EFL Writing. Although there are some difficulties faced by the lecturer in his teaching.
Analysis of Optical Character Recognition using EasyOCR under Image Degradation

Abstract This project explores EasyOCR’s performance with Latin characters under image degradation. Variables like character-background intensity difference, Gaussian blur, and relative character size were tested. EasyOCR excels in distinguishing unique lowercase and uppercase characters but tends to favor uppercase for similar shapes like C, S, U, or Z. Results showed that high character-background intensity differences affected OCR output, with confidence scores ranging from 3 % to 80%. Higher differences caused confusion between characters like o and 0, or i and 1. Increased Gaussian blur hindered recognition but improved it for certain letters like v. Image size had a significant impact, with character detection failing as sizes decreased to 40% to 30% of the original. These findings provide insights into EasyOCR’s capabilities and limitations with Latin characters under image degradation.
Pelatihan Pembuatan Lembar Kerja Peserta Didik (LKPD) untuk Guru SMP di Kota Bandar Lampung

Teachers in learning have not used LKPD which they designed themselves correctly. Meanwhile, the demands of the curriculum require the teacher to be only one source of learning, because the teacher acts as a facilitator. This service will help overcome the problem of low professional and pedagogic competence of junior high school teachers, especially in designing and using worksheets as learning resources in learning. The method used is training with discussion techniques, question and answer, simulations, and assignments. The training subjects were 25 junior high school teachers in Bandar Lampung City. The instruments used were observation, tests and structured interviews. The success of the service was analyzed descriptively by percentage. After the training, there was a good increase in 1) the training process went well and enthusiastically, (2) there was an increase in the knowledge and skills aspects of breastfeeding LKPD. The results of the pre-test conducted before the training for all indicators of knowledge and skills were in the pretty good category. The results of the post test, there is only 1 indicator in the good category, namely the LKPD concept, and other indicators are in the very good category. For the skill aspect, there is 1 indicator in the good category, namely drawing arrangement, and the other indicators are in the very good category.
PENGARUH KUALITAS PENGANGGARAN DAN KOMPETENSI SUMBER DAYA MANUSIA BIDANG KEUANGAN TERHADAP KINERJA KEUANGAN SEKOLAH

ABSTRACT Schools have the duty to manage finances based on the applicable financial management principles. School financial management in SMK throughout Batang Regency has not fully implemented the principles of accountability and efficiency even though the existing budget is received from various sources and issued to several posts. Vocational High School Education Institutions have an obligation to report their activities to the public or related parties. Accountability and reporting of funds raised is a manifestation of accountability. This study aims to 1) determine the effect of budgeting quality on school financial performance; 2) analyze the effect of budgeting quality on school financial performance; 3) analyze the competence of financial human resources on the school's financial performance and 4) analyze the effect of the quality of budgeting and human resource competence on finance together on the school's financial performance.This research is an explanatory research with a quantitative approach. The study population consisted of 86 teachers at SMK in Batang Regency. The research sample was 86 people with total sampling technique. The research instrument used a questionnaire. Data analysis used descriptive and multiple linear regression. The descriptive data shows that 1) the quality of budgeting is in the fairly good category with a mean value of 114.22; 2) the competence of human resources in the field of finance is in the fairly good category with a mean value of 114.21 and 3) the school's financial performance is in the good category with a mean value of 125.06. The results of the hypothesis test show that 1) there is an effect of the quality of budgeting on the financial performance of the schools studied. state with the equation Ῡ=80.444+0.378X₂, a correlation strength of 0.366 with a contribution of 0.134 or 13.4%; 3) there is an effect of human resource competence in the field of finance on school financial performance which is expressed by the equation Ῡ= 48.313+0.659X₃, a correlation strength of 0.622 with a contribution of 0.387 or 38.7%.There is a positive influence on the quality of budgeting and the competence of human resources in the field of finance which jointly affect the financial performance of schools which is expressed by the equation Ῡ= 36.175 + 0.109Xₗ + 0.158X₂ + 0.415 X₃, output correlation 0.649 with a contribution of 0.400 or 40% Keywords: Quality of budgeting, competency of financial human resources, and school's financial performance.
A fog‐computing architecture for network public opinion monitoring based on intelligent semantic recognition

Abstract Currently, the online data contains rich user emotional information and public opinion information. These data can provide massive support for network public opinion monitoring and analysis. However, there are two problems in the network public opinion analysis of the online data. On the one hand, a vast amount of online data with discursiveness and concealment are processed in the cloud platforms, which consumes a long time. On the other hand, the massive online public opinion data is disperse and hidden, resulting in the dependence on manual screening for the analysis of public opinion. Therefore, it is still an important challenge to study the efficient and low‐latency extraction of valuable information from network public opinion. In this paper, we proposed a fog computing based framework using the technologies of intelligent semantic recognition and data mining for the analysis of network public opinion. Firstly, we build a fog computing architecture to collect the text data of network public opinion. Then, an efficient network public opinion model is constructed by intelligence semantic recognition. Finally, we achieve the function of public opinion analysis and early warning. The experimental results show that the method proposed in this paper achieves better performance against some existing methods.
Upaya Penguatan Literasi Anak Usia Dini melalui GERDASI

This activity aimed to strengthen the literacy movement in early childhood through the habit of reading aloud at school and home. Gerdasi was a series of literacy-strengthening programs implemented at Kindergarten/RA Al Hidayah in the form of reading aloud at school and socializing the selection of children's books for parents. Gerdasi was held in April-June 2023 and attended by all children and parents/guardians of Kindergarten/RA Al Hidayah. The stages of implementing the community service activities included: 1) laying the foundation; 2) research design; 3) data gathering and analysis; and 4) acting on findings. Based on observations during reading-aloud activities, the data showed that more than 90% of children liked reading-aloud activities and enjoyed every discussion process. However, children's interest in books is not facilitated well at home. These findings became the basis for carrying out follow-up efforts in the form of socializing the selection of children's books with parents/guardians as the target. This socialization explained important points about literacy facts, choosing good children's books, as well as alternatives for choosing e-books. It was hoped that parents' knowledge regarding sites that provide e-books for children's storybooks could be an inspiration for parents to provide children with affordable reading materials.
Accelerating Quantized DNN Layers on RISC-V with a STAR MAC Unit

To support quantized neural networks in low-end CPUs, we propose STAR MAC, a reconfigurable multiply-and-accumulate unit based on a modified Baugh-Wooley architecture that operates at a variable reduced precision. We integrated it in a small RISC-V processor called Ibex obtaining an acceleration up to 5.8 $$\times $$ in Fully-Connected (FC) layers, 3.7 $$\times $$ in 2D-Convolution (2DConv) layers, and 2.8 $$\times $$ in Depth-Wise Convolution (DWConv) layers, with respect to the original Ibex core (Orig.), and up to 4.5 $$\times $$ in FC layers, 3.0 $$\times $$ in 2DConv layers, and 2.3 $$\times $$ in DWConv layers, against a modified Ibex core supporting standard 32-bit MAC operations (Orig.+MAC). Area and power in a 28-nm technology with 200 and 600 MHz target clock frequency are 0.015 and 0.017 mm $$^2$$ , and 1.5 and 4.3 mW, respectively, with a limited overhead within 10% and 3% with respect to Orig., and within 3% and 3% against Orig.+MAC.
EXPRESS: Contextual diversity and anchoring: Null effects on learning word forms and opposing effects on learning word meanings

Words that appear in many contexts/topics are recognised faster than those occurring in fewer contexts (Nation, 2017). However, contextual diversity benefits are less clear in word learning studies. Mak et al. (2021) proposed that diversity benefits might be enhanced if new word meanings are anchored before introducing diversity. In our study, adults (N = 288) learned meanings for eight pseudowords, four experienced in six topics (high diversity) and four in one topic (low diversity). All items were first experienced five times in one topic (anchoring phase), and results were compared to Norman et al. (2022) which used a similar paradigm without an anchoring phase. An old-new decision post-test (did you learn this word?) showed null effects of contextual diversity on written form recognition accuracy and response time, mirroring Norman et al.. A cloze task involved choosing which pseudoword completed a sentence. For sentences situated in a previously experienced context, accuracy was significantly higher for pseudowords learned in the low diversity condition, whereas for sentences situated in a new context, accuracy was non-significantly higher for pseudowords learned in the high diversity condition. Anchoring modulated these effects. Low diversity item accuracy was unaffected by anchoring. However, for high diversity items, accuracy in familiar contexts was better in the current experiment (anchoring) than in Norman et al. (non-anchoring), but accuracy in new contexts did not differ between the two experiments. These results suggest that anchoring facilitates meaning use in familiar contexts, but not generalisation to new contexts, nor word recognition in isolation.
Unpacking Contrary Conceptions of Digital Literacy Across a Higher Education Landscape

The higher education sector is changing, driven by a post-pandemic push to a more digital focused model of delivery. Whilst this change was coming before the pandemic, COVID-19 has put the need for a better understanding of digital approaches in stark relief, as individuals could no longer meet face-to-face. And yet, our perceptions of digital literacy (competency and skills) remains limited, with literature suggesting that even the use of the term ‘digital literacy’ is diverse. This paper aims to conduct a review that positions these terms more clearly with their associated stakeholders. Using a defined systematic review methodology based on Lateral, this paper identifies a disconnect between stakeholder perceptions, particularly academics and their students, as well as influences felt by the pandemic. Through this work, we aim to lay a foundation for future research in the educational technology domain, understanding these contrary conceptions and how they may be resolved.
Peopling Technologies educational model

This conceptual paper articulates a digital education approach that privileges diverse learners and harnesses the potential of technologies. The approach positions digital ways of thinking in terms of a philosophy (Peopling Technologies), a pedagogy (Immediate, Collaborative, Interactive pedagogy) and an evaluative framework (Sliding Glass Doors Learning). The three elements in concert focus closely on, and are responsive to, student contexts and skills. This balance forms an overall Peopling Technologies educational model designed to support students through transition to university and ongoing engagement in their studies. This educational model has practical implementation in the context of curriculum design and assessment design. The approach was developed in 2019, with ongoing iteration taking place in an education course assessment redesign project. Digital learning environments, shaped by this model, encourages belonging and inclusion to cultivate digital literacies, academic skills, discipline knowledges, and professional practice. The Peopling Technologies education model is adaptive to different discipline areas and elements of the approach are iterative to further contexts. By virtue of this model’s philosophical and pedagogical elements, this approach can be flexibly applied to changing contexts and responsive to technological advances (for example, generative artificial intelligence).