Reviewerly/exHarmony huggingface dataset:
Scrambling-Embedding in Partially-Encrypted Images

In this paper, an improved scrambling-embedding technique, namely row-rotational-based data hiding method is proposed to hide data in partially-encrypted images. The partially-encrypted images are generated by performing bit-wise XOR-cipher to investigate the feasibility of applying the proposed method in various encryption levels. The proposed method is performed by divided each row into multiple non-overlapping continuous partitions. These partitions will be arranged in a rotational manner to create different states, while each state will be used to represent specific data in binary representation. During the decoding process, α notation is introduced to reduce the number of failure rows, which will cause further image degradation and incorrect data extraction. The BSDS300 dataset is utilized for experiments, and encrypted with different encryption strengths. From the experiment results, it is observed that when least significant bits are encrypted, the proposed data hiding method using scrambling-embedding technique can still performed well as in the plain image domain.
MCSNet: Multi-Channel Sharing Network for Single Image Super-Resolution

Due to the rapid development of convolutional neural networks (CNNs) architecture, single-image super-resolution (SISR) performance and processing speed increased. However, CNN-based architectures have a high computational cost, more processing time, and reconstructed results are still unsatisfactory. Furthermore, CNN architectures depend on the single-channel network architecture to reconstructing the high-resolution (HR) image, which also creates problems during the training, extracted features are not received at the last end layer. To report these issues, we suggested a Multi-Channel Sharing Network for Single Image Super-Resolution (MCSNet). In addition, the multi-channel sharing technique is used to extract and share the feature information through different routes, which is very important to resolve the SISR problem. Numerous quantitative and qualitative experimental findings demonstrate that our suggested method outperforms existing state-of-the-art approaches in terms of peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), computing complexity, and perceptual quality. Especially on challenging enlargement scale factor 8 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sup> , our proposed method improves the overall average PSNR on all test datasets, including Mangal09, UrbanlOO, Set14, and Set5, by 2.04dB with the baseline method.
Enhancing the Obstacle Avoidance Capabilities of a Smart Wheelchair

Smart Wheelchairs (SWC) are vehicles designed specifically for people with certain mobility impairments to alleviate their difficulties in movement and interaction with their surroundings. In this paper, we focus on enhancing the obstacle avoidance capabilities of a SWC previously built at the University of Malta and also propose novel algorithms that can be employed on any other autonomous mobile robot. The improvements include the design, implementation and experimental validation of a novel path planner developed specifically for semi-autonomous movement. In this control mode, the only user input is the desired direction of movement. Our approach combines and improves elements of the Vector Field Histogram + (VFH+) and Dynamic Window Approach (DWA) algorithms. Simulations and physical experiments are used to validate and compare the proposed algorithm. To complement the obstacle avoidance capabilities of the local path planner, a new geometrical method is also presented for the detection of negative obstacles, such as holes and stairs.
Introduction to Terraform Cloud and Workspaces

In the previous chapter, we were introduced to Terraform using a simple example of spinning up an EC2 machine on AWS. We also learned about a few best practices of writing a Terraform code through three different iterations. However, what we learned in the previous chapter was suitable for individual testing and development as the terraform state that stores all the information about the cloud infrastructure that has been set up is stored locally in the developer’s machine.
Functions of Code Switching in Youth WhatsApp Chats

This paper examines the functions of code-switching occurrences between a group of multi-ethnic youths in Malaysia. Since the population of Malaysia is ethnically and linguistically heterogeneous, code switching is a common phenomenon among these youths which has spread into the online mode of communication. WhatsApp chats from a total of 24 respondents was collected from participants of various background, mainly Malay, Chinese and Indian ethnic groups. A qualitative methodology was employed wherein an online interview was conducted to analyse their motives underlying the code-switching phenomenon. The functions of code-switching were further analysed using a conceptual framework developed by the researcher that was adapted from Appel and Muysken (2005) and Hoffman’s (1991) functional model of code-switching. The yielded findings postulate that the participants in this study code-switched in the WhatsApp Messenger mostly for emphatic function and interjections. However, the paper propose that habitual code switching might encourage the code-switching phenomenon, since both English and Bahasa Malaysia play a huge role in their daily communication. Code switching behaviour also indicates their bi-multilingual identity as Malaysians.
Learning of English Literature: ESL Pre-Service Teachers’ Perceptions and Challenges

Learning of literature, particularly in the ESL context, has been subjected to controversy and consensus. Its proponents argue that literature learning can be beneficial for learners because it provides valuable authentic material and fosters language enrichment, cultural awareness, and personal involvement. Its opponents, however, believe that literature brings its own sets of challenges such as language difficulty and cultural disconnection. As the learning of literature has a direct impact on the learners, it is important to understand how learners view the subject, and their experience in learning it. Such understandings can lead to better teaching and learning of literature in ESL classrooms. Hence, this paper attempts to discuss pre-service teachers’ perceptions of, and challenges in, learning literature in a public university in Malaysia. A questionnaire, consisting of multiple-choice items and open-ended questions, was distributed to respondents enrolled in a literature course at the university. Frequency count is used to calculate the response of each question in the single-option format while crosstabulations are used whenever the responses are to be compared with each other. In addition, the learners’ academic grades are analysed and cross tabulated with the items in the questionnaire. The findings show that the learners have positive perceptions of literature and admitted having enjoyed learning literature in the course due to several factors, including the role of the instructor. These findings have implications on how educators plan and teach literature courses, which will affect how ESL learners approach and learn literature.
Performing Cryptanalysis on the Secure Way of Communication Using Purple Cipher Machine

Given the large amount of data that is available, it is vital to protect data. The main goal of cryptography is creating and analyzing methods to keep harmful third parties from gaining access to information transmitted between two entities. Cryptanalysis is the process of attempting to decipher ciphers, cipher text and cryptosystems in order to find any gaps or weaknesses in the systems that could lead to the discovery of the key used to encrypt the data. In this paper, we will investigate the purple cipher machine, a World War II era electromechanical cipher machine used by the Japanese diplomatic service for secure communication before and during WWII. It was considered as one of the hardest machines to crack during the time as a complete machine was never recovered. We present a brief overview of the machine’s internal construction and operation which is primarily controlled by 25-level stepping switches. The internal wiring of the machine displays intricate and complex wiring which made predictions hard. The Purple Machine, which has both encryption and decryption modules, was computer simulated using Python. Finally, for both modules, a time analysis for strings of various sizes is shown and the graph between them is drawn.
Impact Of Corporate Social Responsibility as Competitive Factor on Small and Medium Businesses in Kosovo

The paper aims to explain the concept that introduces a pluralistic framework for CSR analysis, which can be applied to CSR analysis in SMEs.CSR is usually described to be negligible in SMEs, who are not included in CSR as they do not have sufficient resources to undertake CSR practices, especially those related to the environment.As a consequence, SMEs are not consistently exposed in the CSR literature.This article proposes a critical view of CSR in SMEs, which takes into account the characteristics of SMEs, to highlight the uniqueness of their involvement with CSR.Despite this lack of traditional CSR analysis, as well as the lack of consistent definition of SMEs in various academic contributions, the economic and social importance of SMEs is emphasized across the globe, hence their role in shaping and engaging with CSR cannot be underestimated.From the analysis, whether through theoretical aspects or through primary data directly collected from the field, we can conclude that not many well-known authors in the field of management and ethics have quantified and emphasized the role of CSR in the competitiveness of businesses in the market.The results of this research are of value to business owners and managers of different businesses, whether small or medium-sized because it allows us to identify that today's owners and managers are the ones who need to fear market challenges and changes as they fail to keep up with market developments then their existence is not certain for any moment and the loss in turbulent waves can be fatal to their business
PENGARUH OPINI AUDIT DAN TEMUAN AUDIT BPK TERHADAP KINERJA PEMERINTAH DAERAH KABUPATEN/KOTA DI PROVINSI RIAU

This study aims to examine the effect of the audit opinion and BPK audit finding on the performance of local goverment in district/cities in Riau Province. The population in this study consisted of 12 districts/cities in Riau province with an observation period of 2016-2020. The sampling method in this study uses a non-probability sampling technique, namely a sampling method that does not provide equal opportunities or opportunities for each member of the population to be selected as a sample. The non-probability sampling method used is saturated sampling and the number of samples in the study is 60 samples. The test was carried out using the Partial Least Square-Structural Equation Modeling (PLS-SEM) approach with the help of WarpPLS version 7.0 software used in data analysis and hypothesis testing. The results of the study found that audit opinions and audit findings have a negative effect on local government performance. This research has implications for local governments to have policies in regional financial management that are in accordance with statutory regulations so that they can make their local government performance better.Keywords : Audit Opinion, BPK Audit Finding, and Local Goverment Performance.
HUBUNGAN MINAT DAN DISIPLIN BELAJAR DENGAN HASIL BELAJAR EKONOMI DI SMA NEGERI KABUPATEN KONAWE SELATAN

This study aims to analyze and explain whether there is a relationship between: (1) learning interest with student economic learning outcomes, (2) learning discipline with student economic learning outcomes, and (3) student learning interest and learning discipline together- the same as student economic learning outcomes. Survey method with the correlational approach as a method. The population was 413 students and the sample was 81. Data collection used instruments. This study found that: (1) there was a positive and significant relationship between learning interest with students' economic learning outcomes which were shown correlation coefficient (ry1) 0.675 and detemination coefficient 0.4556; (2) there is a positive and significant relationship between learning discipline with students' economic learning outcomes shown by the correlation coefficient (ry2) 0.576 and the coefficient of detemination 0.3318; and (3) there is a positive and significant relationship between student learning interest and student learning discipline together with student economic learning outcomes shown by the multiple correlation coefficient (Ry12) 0.720 and the coefficient of detemination 0.5184. That means that the better the interest in learning and the discipline of learning, the better the results of student learning. Keywords: Learning Interest, Learning Discipline, and Economic Learning Outcomes
UPAYA MENINGKATKAN HASIL BELAJAR SISWA MENGGUNAKAN MODEL PEMBELAJARAN FISH BOWL PADA MATERI KETENAGAKERJAAN

This research is entitled efforts to improve student learning outcomes using the fish bowl model in employment material for the 2021/2022 school year. 2021/2022 and this research aims to: find out the increase in student learning outcomes using the fish bowl learning model, research subjects 36 students. Retrieval of data using the method of observation, written test. The study was conducted in 2 cycles: the stages of planning, implementing, acting, observing, and reflecting. The results of the study increased student learning outcomes in the pre-cycle results of students who completed 17 students (45.83%), students who had not completed 19 students (54 .16%), the first cycle of students who completed 22 (58.33%)., students who have not completed 14 (41.66%), in the second cycle of students completed 35 (95.83%), and 1 student (4, 16%) have not been completed. Increased student activity from cycle I to cycle II in a better direction. This was shown by an increase in student learning activity from the first cycle of 78.02% to 95.35% in the second cycle. Keywords: hasil belajar, model fish bowl, ketenagakerjaan
Using a Smart Chatbot System as a Communication Tool for Campus Navigation

First-year students and visitors to South African universities often lose their way. This is due to widespread areas and complex routes or pathways on campuses. The experience can be intimidating and confusing to students and visitors who ask for directions from senior students or university personnel at helpdesks. This paper presents a potential answer to
Strategic Priority Directions of Library Development: The Russian State Library

As a result of economic digitalization, the library acts a social institution that performs an extremely important adaptive function: it improves social stability by preserving, exchanging, and disseminating the accumulated spiritual, scientific, and technical potential. As a result, libraries need innovative management approaches. In particular, they need a long-term cultural policy to create a single information space for authors, readers, publishers, and book traders. The digital economy offers new opportunities to provide an expanded list of services that go in line with the interests and needs of various categories of readers. The author used the strategizing methodology developed by Professor V.L. Kvint as a universal tool for building advanced development strategies. The approach made it possible to form a new library innovation management system. The OTSW method provided new program activities for the development strategy of the Russian State Library and revealed its innovative potential. The analysis also made it possible to prioritize the temporal and strategic goals, as well as to identify the promising development technologies. The resulting principles define the development strategy of a modern library as a center of digital competencies and new electronic services. The article introduces the practical methods and their application procedure to enhance the existing and potential opportunities of libraries.
Solve Challenging Problems with Arcane SQL Features

It’s time to discuss the most advanced Oracle features, the features that solve problems most developers think are impossible to solve in a database.
SQL Style Guide Cheat Sheet

Follow these style tips to write clear, powerful SQL statements. This simple list summarizes the programming style recommendations made throughout this book. There are exceptions to every rule, but we should still know what the rules are and why the rules exist:
E-Learning Use’s Antecedents and Challenges

COVID 19 pandemic has affected all the domains of life. Education is the only industry that was completely transferred to online mode in most countries around the world especially in the higher education. This study aims to explain the behavioral intention and e-learning use by the students of the Higher Institute of Management of Sousse thanks to performance expectancy, effort expectancy, social influence and facilitating conditions. These variables are the basis of the Unified Theory of Acceptance and Use of Technology (UTAUT) developed by Venkatesh et al. [1]. A total of 204 valid questionnaires were collected from students being experienced the online learning during the lock down period. All of the variables' dimensions of UTAUT’s model were subjected to principal component analysis employing varimax rotation in SPSS. The different dimensions were analyzed and the items that do not have good loadings (superior to 0.5), and displays contributions higher than 0.3 on many factors were eliminated. At the end and similar to previous researches, all of the dimensions developed by Venkatesh et al. [1] appeared to be strong antecedents to e-learning use. Consequently, all the hypotheses were supported.
The impact of the COVID-19 pandemic on accounting information systems and organizations’ performance

This paper empirically examines the impact of COVID-19 on accounting information systems and organizations' performance. ­­ It follows a quantitative approach. For data collection, an online questionnaire was developed and tested. The final version of the questionnaire was applied to the 2556 largest companies in Portugal. The 3 research hypotheses under study were tested with 101 valid answers. The results reveal a high rate of implementation of accounting and performance measurement instruments during the COVID-19 pandemic. Regarding the dynamics of the updates of organizations’ performance measurement systems, the impact of the COVID-19 pandemic was confirmed and described as primarily positive. In turn, the performance of the companies was negatively impacted by the COVID-19 pandemic. This study contributes to a better understanding of the role of accounting and performance instruments in organizations under a high level of organizational uncertainty.
Akuisisi Bukti Digital Pada Aplikasi Michat di Smartphone Menggunakan Metode National Institute of Standards and Technology (NIST)

The development of technology in the world of mobile devices is growing. However, these developments have a detrimental impact, one of which is cybercrime. Cybercrime is a crime that uses information technology. One of the smart phone technologies which includes cases of cybercrime that are often found in Indonesia include online prostitution of minors. This is done by utilizing social media, namely Michat as a medium of communication. The “chat with nearby users” feature by uploading a status that can be connected to the surrounding area within a certain radius and after being connected, the actor and his potential customer will negotiate and transact with each other until they finally meet. To eliminate digital evidence in the form of conversations in messages, usually perpetrators will delete the history of messages that produce data that can be used as evidence and perpetrators who can avoid legal traps, which are ultimately online. prostitution will be rampant. For online prostitution activities, it is necessary to carry out mobile forensics to find evidence which is then useful to be given to the authorities. This research uses the National Institute of Standards and Technology (NIST) method.
Trend Analysis of ‘Child YouTube’ News Article before and during COVID-19 : An Exploration of Words Frequency &amp; LDA Topic Model

This study explores the contents of news articles related to 'Children's YouTube' from year 2018 to 2021. The total of 7,029 news article was divided into two periods. In the first period between year 2018 and 2019 before COVID-19, the news articles were only interested in the commercial success of YouTube contents or sensational incidences related to children, whereas they were reported non-face-to-face events using YouTube during COVID-19 period between year 2020 and 2021, the second period. They also interested in children as perpetrators or used as synonymous with immaturity in the 2nd period. While the words that appeared mainly in the first period were related to famous content producers such as 'YouTuber', 'Toy', 'Pengsu', and 'Carry', the words that appeared mainly in the second period were many words related to content consumers and events such as 'Real-time', 'non-face-to-face/LAN', 'Library', and 'Children's Day'. According to our LDA topic models, news were worried about the the exposure of children to harmful contents, but in the second period, as it is seen in the complaints about the Minsik Act, the word children is used as a symbolic proxy of immaturity. These results are very different from the academic community's interest in preventing the exposure of children to harmful YouTube contents.
Implementation of Boneh - Lynn - Shacham short digital signature scheme using Weil bilinear pairing based on supersingular elliptic curves

One option for a digital signature solution for devices with low memory and low bandwidth transmission over channels uses a short digital signature scheme based on Weil bilinear pairing aimed at short processing times, fast computation, and convenient deployment on applications. The computational technique of non-degenerate bilinear pairings uses supersingular elliptic curves over a finite field Fpl (where p is a sufficiently large prime number) and has the advantage of being able to avoid Weil-descent, Menezes-Okamoto-Vanstone (MOV) attacks, and attacks by the Number Field Sieve algorithm. Compared to Elliptic Curve Digital Signature Algorithm (ECDSA) digital signature schemes, generating a digital signature for a Boneh-Lynn-Shacham (BLS) scheme using Weil bilinear pairing on a supersingular elliptic curve is simple. In this study, the authors replace non-degenerate bilinear pairing calculations on a supersingular elliptic curve with a Weil pairing with PεE(Fp ), QεE(Fp1) and a higher security multiplier α=12 in the BLS short digital signature scheme. The execution time of the BLS short digital signature program showed improvement compared to the commercial ECDSA digital signature scheme.
STUDY OF VULNERABILITIES IN IOT ENVIRONMENTS USING SHODAN AND CENSYS TOOLS

The present study on the vulnerabilities that concern The Internet of Things technology was carried out in order to identify which flaws are present in ubiquitous computing devices in the national scenario, attaching evidence that was found when using the search engines Shodan and Censys, which act on the web in order to find security flaws that are evident. After verification, a document was developed in the form web format, with the evidence found, using questions that instigate the interviewee about the knowledge he has about the failures found, whether he has any practice to protect his devices that are connected to the network and if it occurred to have experienced some experience of data theft or invasion of their devices. Thus, with quantitative data collected in both surveys, we can have a survey of how the deficiency of the security practice affects the defense of devices that are part of the Internet of Things.