Reviewerly/exHarmony huggingface dataset:
Pterodactyl: Two-Step Redaction of Images for Robust Face Deidentification

Redacting faces in images is trivial when the number of faces is small and the annotator is trusted. For large batches, automated face detection has been the only currently viable solution, yet even the best ML-based solutions have error rates that would be unacceptable for sensitive applications. Crowd-based face detection/redaction systems exist, yet the process and the cost make them not feasible. We present Pterodactyl, a system for detecting (and redacting) faces at scale. It uses the AdaptiveFocus filter, which splits the image into smaller regions and uses machine learning to select a median filter for each region to hide the facial identities in the image while simultaneously allowing those faces to be detectable by crowd workers. The filter uses a convolutional neural network trained on images associated with the median filter level that allows detection and prevents identification. This filter allows Pterodactyl to achieve human-level detection with just 14% crowd labor as another recent crowd-based face detection/redaction system (IntoFocus). Our evaluation found that the redaction accuracy was higher than a commercial machine-based application and on par with IntoFocus while requiring 86% less crowd work (number of comparable tasks).
The Effect of Digital Transformation on the Smart Educational Services of Egyptian Universities

This research aims to show the impact of digital transformation on the performance of higher education institutions in Egypt, especially after the recent waves that led to digital transformation around the world and its very important impact on the graduates of these universities. The world in general and universities in particular, such as Covid-19. This study was applied to a sample of faculty members and students in Egyptian universities, where it included 68 members of academics and 46 members of students in order to know the impact of digital transformation in higher education institutions. This study concluded that the use of the Internet as a tool for digital transformation affects business performance in higher education institutions, digital technologies affect university performance, and finally, digital transformation leads to accurate data analytics, which helps in the rational decision-making process.
Hand Gesture Classification Using Early Fusion Based Multimodal Deep Learning

In this paper, we propose a new hand gesture classification strategy using early fusion based multimodal deep learning. The structure and parameters of the state-of-the-art deep learning models such as ResNet152, DenseNet201, EfficientNetB0 for the source task of image classification are reused in the target task of hand gesture classification using surface electromyograph(EMG) and finger
Two Heads are Better than One? Verification of Ensemble Effect in Neural Machine Translation

In the field of natural language processing, ensembles are broadly known to be effective in improving performance.This paper analyzes how ensemble of neural machine translation (NMT) models affect performance improvement by designing various experimental setups (i.e., intra-, inter-ensemble, and nonconvergence ensemble).To an in-depth examination, we analyze each ensemble method with respect to several aspects such as different attention models and vocab strategies.Experimental results show that ensembling is not always resulting in performance increases and give noteworthy negative findings.
First-Order Side-Channel Leakage Analysis of Masked but Asynchronous AES

Masking schemes are classical countermeasures against Side-Channel Attacks on cryptographic implementations. This paper investigates the effectiveness of masking when the code does not run in constant time. We prove that in this case, a first-order Correlation Power Analysis can break an otherwise perfect masking scheme. Furthermore, with an in-depth leakage analysis on traces generated at a pre-silicon stage, we pinpoint the leaking instructions and recover a complex leakage model.
Embracing Entrepreneurial Change: Enterprising In Yemen Compared With Other Least Developed Countries

Purpose: The stud aims to compare the status of entrepreneurship activities and the encouragement of entrepreneurship in the five least-developed countries: Afghanistan, Bangladesh, Rwanda, Sudan, and Yemen. Approach/Methodology/Design: A comparative method is adopted, a comparison of the status of entrepreneurship among five different least developed countries (Afghanistan, Bangladesh, Rwanda, Sudan, and Yemen). By relying on secondary data, with the help of tabulation and visualization of the data, four main variables are used to compare entrepreneurship in these countries (Definition, development, obstacles, and reforms). Findings: The results showed that the least developed countries do not pay much attention to the sector of SMEs as a crucial sector for economic development. Among the five countries, Rwanda is found to be the reference point in achieving remarkable development in the aspect of entrepreneurial development. Practical Implications: Based on the different experiences examined in the study, a model of the key drivers of entrepreneurial change is suggested. It would act as a roadmap to drive the economy towards achieving entrepreneurial change as in the case of Rwanda. Originality/value: The study proposes a model for embracing entrepreneurial change which can be tested and validated in further research work. The study also attempts to attract the attention of policymakers and international development partners towards the importance of encouraging entrepreneurship activities in the least developed countries.
Client side and Server Side Load Balancing

Abstract: In the microservice architecture it is vital to distribute loads across replicated instances of microservices. Load distribution such that no single instance is overloaded is called as load balancing. Often the instances of microservices are replicated across different racks, different data centers or even different geographies. Modern cloud based platforms offer deployment of microservices across different server instances which are geographically disperse. Having a system that will balance the load across service instances becomes a key success criteria for accurate functioning of distributed software architecture Keywords: Load Balancing, Microservices, Distributed software system
Media Pembelajaran Interaktif Artyculate Storyline Meningkatkan Motivasi Dan Kompetensi Belajar Peserta Didik Pada Saat Pembelajaran Jarak Jauh

The low motivation and competence of students in distance learning is because teachers have not used interesting learning media in the learning process. This has an impact on the learning outcomes to be achieved. Overcoming these problems the author uses the interactive learning media Artyculate Storyline to increase the motivation and learning competence of students. This interactive learning media can be used as a learning resource and support distance learning, as well as helping to facilitate the delivery of material with additional competency features, quizzes, learning videos, and glossaries that can be accessed offline and online with ease of use on the web that has been provided. This interactive learning media is also declared effective and can increase the competence of students by 5.39%. The author also creates an interactive learning media Articulate Storyline and applies it in learning process
Prevention of Cyber-Attacks in Healthcare Informatics

Healthcare Informatics (HCI) empowers patient to deal with their own therapeutic records in a digitalized and centralized path. The main aim of this paper is accessing this stored information on cloud by authorized personnel, anywhere, anytime through any device. Healthcare Informatics contains sensitive patient data, clinical history that should to be protected against unauthorized users on cloud. In this study, role-based access control and fine-grained access control were proposed. The results of this study are utilized in the policy enforcement and the access control policies. With the help of cryptographic techniques, the proposed algorithm in this study, provides the higher-level privacy and prevention of cyber-attacks in healthcare informatics
ANALISIS CODE MIXING DI GRUP WHATSAPP MAHASISWA UIN RADEN MAS SAID SURAKARTA

The problem in this study is the use of code mixing in the WhatsApp group of UIN Raden Mas Said Surakarta students. This study aims to describe the use of code mixing in WhatsApp groups by students of UIN Raden Mas Said Surakarta. The approach used in this research is qualitative. The data source in this study was a conversation between students of UIN Raden Mas Said Surakarta in one of the WhatsApp group forums. The data collection technique used in this study is the technique of observation and interviews with conversations conducted by students of UIN Raden Mas Said Surakarta in one of the WhatsApp group forums. Based on the results of the research and discussion, it can be concluded that the use of code mixing in WhatsApp groups by students of UIN Raden Mas Said Surakarta tends to be often used for the reasons; to be more efficient, to emphasize something, to mention identity, and also to not have the right equivalent. The results of this study can be useful as knowledge about the use and purpose of code mixing in WhatsApp groups of UIN Raden Mas Said Surakarta students and as a reference for future research.Keywords: Code mixing; Undergraduate student; WhatsApp
Features of COVID-19 applications and their impact on contact tracing: results of preliminary review

Digital technologies and telehealth, specifically contact tracing applications can complement traditional approaches for contact tracing of COVID-19 and overall COVID-19 control strategies. Despite the potential benefits of these novel approaches, concerns regarding privacy and basic rights have challenged application development and adoption. We explore the features of tracing applications, focusing on the trade-off between technical possibilities and privacy concerns. Our main objective is to map out central features of applied technology solutions that may prove as drivers or constrains for future development. Our secondary aim was to review how the effectiveness of tracing applications was being apprehended in research. We conducted a literature review of COVID-19 tracing applications and related privacy issues using the PubMed database. For analysis, we conceptualized contact tracing and data privacy. Our review identified various technologies with potential for contact tracing, with Bluetooth and GPS based solutions being the most common. Effectiveness of the applications is dependent on how widely these are adopted. However, technological approaches of the applications vary markedly, affecting their effectiveness for pandemic control. Privacy and trust are key limitations affecting application adoption. Existing privacy solutions are based on voluntary use, user consent, cryptographic data storage, minimum data collection, limited data usage, and transparency of the contact tracing applications and frameworks. Although evidence of applications’ outcomes and benefits is yet tentative, the first evaluation frameworks for the applications are under development. In order to obtain maximum potential benefit from the applications, real-world evidence needs to be analyzed and evaluated carefully. However, along with contact tracing apps and comprehensive health programs, regulatory frameworks and safeguards are necessary to ensure that health information is not used for surveillance purposes and that app users’ privacy is maintained.
FLOATING HOUSE TECTONICS ON LAKE TEMPE: BETWEEN TRADITION AND RESILIENCE

The tectonic knowledge of the people who live in floating houses comes from the understanding of the tradition of building land on stilt houses because the fishing communities who live in floating homes also live on land. However, the climatic conditions above the water are extreme and different from the ground, causing the tectonics of the floating house to adapt to the climatic conditions on the water so that the floating house has resistance to natural disasters on the water. The problem of this research is that there is a change in the tradition of building from traditional mainland stilt houses to floating houses, thus creating a unique tectonic expression in floating homes. This study aims to reveal the tectonics of floating homes based on the tradition of building and surviving on the water. The research method used in this study is a qualitative method with an ethnic-architecture approach. The results showed that the tectonics of the floating house originating from the mainland stilt house tradition underwent changes in several parts, especially in the lower and middle structures. However, it does not change the concept of Bugis society's cosmology. Extreme climatic factors influence the formation of floating house tectonics. For the resilience of houses on the water, a structural system is needed to anticipate climatic conditions.
Analyzing BERT’s Knowledge of Hypernymy via Prompting

The high performance of large pretrained language models (LLMs) such as BERT on NLP tasks has prompted questions about BERT’s linguistic capabilities, and how they differ from humans’. In this paper, we approach this question by examining BERT’s knowledge of lexical semantic relations. We focus on hypernymy, the “is-a” relation that relates a word to a superordinate category. We use a prompting methodology to simply ask BERT what the hypernym of a given word is. We find that, in a setting where all hypernyms are guessable via prompting, BERT knows hypernyms with up to 57% accuracy. Moreover, BERT with prompting outperforms other unsupervised models for hypernym discovery even in an unconstrained scenario. However, BERT’s predictions and performance on a dataset containing uncommon hyponyms and hypernyms indicate that its knowledge of hypernymy is still limited.
SISTEM PENGENDALIAN INTERNAL TERHADAP GAJI DAN UPAH PADA DISTRIK NAVIGASI KELAS 1 BELAWAN

Navigation District is a company engaged in the transportation sector. Everycompany has an internal control system. The purpose of designing an internalcontrol system from a recent perspective that includes a broader scope is essentiallyto protect company property, encourage accuracy and reliability of accountingdata and reporting, increase business effectiveness and efficiency, and encouragecompliance with management policies that have been outlined and regulations. -the rules are there. The type of data used in this research is primary data, namelyqualitative data. The data obtained were collected, interpreted and analyzed thendescribed in detail to find out the problem and seek an explanation. Researchconducted by researchers is primary data obtained directly from the company inthe form of interviews and observations. The purpose of this study was to analyzeand explain the system and procedures for payroll and wages of the Belawan Class1 Navigation District employees and to analyze and explain internal controls in thepayroll and wage systems of employees in the Class 1 Navigation District ofBelawan. The results showed that the payroll procedure that is usually carried outin Belawan Class 1 Navigation District, namely the treasurer makes payroll detailsthen tested by the Commitment Making Officer (PPK) by issuing a paymentapproval letter, after which it is validated by the SPM Signing Officer (PaymentOrder) by issuing a letter. Pay Order (SPM). The SPM main salary is converted bythe State Treasury Service Office (KPPN). After being converted by KPPN, themain salary will be paid to each employee's account. The internal control systemcarried out by the Ministry of Transportation, Directorate General of SeaTransportation, Class 1 Navigation District, Belawan, is controlled by the KPA(Proxy of Budget Users) which is authorized to prepare DPA (BudgetImplementation Documents) , a budget implementation document used as areference for budget users in carrying out government activities as theimplementation of the APBD (State Budget), establishing a PPK (CommitmentMaking Officer), issuing a decree on the appointment of an expenditure treasurer,article 22 (1), (2), (3), KPA may concurrently act as PPK, formulate a system ofsupervision and control so that the process of settling bills at the expense of theAPBD is carried out in accordance with statutory regulations.
Reading and Writing Needs of Senior High School Students: The Case of Filipino Students in the Philippines

The present study sought to determine the current skills, competencies, and needs of the Senior High School (SHS) students in a public school in Metro Manila, Philippines, regarding academic reading and writing through needs analysis (NA). The NA uses two approaches: (1) present situation analysis (PSA), with a purpose of pointing out the English proficiency of students and their level in reading and writing in the second language at the onset of the course (Dudley-Evans & St Johns, 1998; Robinson, 1991 as cited in Ibrahim, 2016), and (2) learning needs analysis (LNA), which is referred to as, “what the learner needs to do to learn” (Hutchinson & Waters, 1987 as cited in Ibrahim, 2016, p.2). The researchers conducted a survey among 100 SHS students and triangulated the results through an item analysis of Reading and Writing diagnostic test administered to the participants and interview sessions with three English teachers, seven diagnostic test high scorers, and seven students with low scores. For reading, researchers identified these skills to be the main struggles of SHS students: (1) recognizing different patterns of development (comparison and contrast, definition, description, narration, etc.) in texts; (2) evaluating the coherence, organization, grammar, and mechanics of a text; (3) having poor vocabulary knowledge; and (4) identifying ways on how to select and organize information. For writing, the main challenges are (1) lack of topic-relevant background knowledge and topic-specific paper on texts, (2) insufficient knowledge and practice on writing with proper citation, (3) incorrect grammar, (4) shallow vocabulary, and (5) use of different patterns of development when writing. The present study recommends explicit instruction, utilization of text-based approach, and inclusion of authentic and collaborative tasks in teaching Reading and Writing in SHS in the Philippines.
PERANAN SISTEM INFORMASI AKUNTANSI DALAM PENGAMBILAN KEPUTUSAN MANAJEMEN PADA PT. ABADI MEDAN JAYA JAPARIS

The role of information systems is very important for companies to be able tosupport every operational activity and assist in the decision-making process. Therehave been many companies that use information systems to support their businessprocesses so that by using this information system, the company's competitiveadvantage can be achieved. The formulation of the problem in this study is how therole of accounting information systems in management decision making at PT.Abadi Medan Jaya Japaris ?. The research objective is to identify and analyze therole of accounting information systems in management decision making at PT.Abadi Medan Jaya Japaris. This study uses simple linear regression analysis,determination test and t test, with the help of the SPSS version 20.00. Based on theresults of hypothesis testing, it shows that t count &gt; t table, namely 18.905&gt;2.03951, then H0 is rejected and H1 is accepted, which means that the accountinginformation system variable has a positive and significant effect on the decisionmaking variable at PT. Abadi Medan Jaya Japaris. Which means that theaccounting information system plays an important role for management in makingdecisions at PT. Abadi Medan Jaya Japaris. In addition to the determination test,it is known that the percentage of the relationship between variable X accountinginformation system and variable Y is used. The determination test is used todetermine the influence of the accounting information system on decision makingof 0.920 or 92% while the remaining 0.08 or 8% is influenced by other factors thatare not researched in this study
Assisting Access to COVID-19 Information Through Deep Learning Based Machine Translation: Attention Mechanism Via Bidirectional GRU

Due to the recent COVID-19 crisis, there is an increasing need for effective communication and sharing of information internationally in various fields.One of the obstacles that these needs face are language: In texts such as COVID-19 related research, currently existing machine translations which are effective in normal texts because they are trained with normal-context data are often inaccurate, and manual translation is slow and laboursome.So, the exchange of information is being delayed.To overcome this language barrier, this project aimed to create a model that is effective for translating COVID-19 crisis related data specifically.In the research, there are two models created: one is trained with TAUS English-French Corona Crisis Corpus, and another used transfer learning by Kaggle English-French corpus and then trained with TAUS corpus.The model consisted of four bidirectional GRU layers, and used rmsprop as optimizer.The project evaluated the model using the BLEU score.The first model had a higher BLEU score than the second model, supporting the hypothesis that loosely related datasets decrease the quality of translation.In further research, evaluation on this model on different language pairs and use datasets in other specific fields will be conducted.
A systematic review on hate speech among children and adolescents: Definitions, frequencies and overlap with bullying

Hate speech is unequivocally seen as harmful to individuals and communities (United Nations, 2019), but little is yet known about the current state of research on the frequency of hate speech among children and adolescents. Evidence suggests that definitional ambiguities of hate speech exist in academic research (e.g., Brown, 2017). But without a precise theoretical definition of hate speech, standardized assessment methods and the ability to soundly differentiate it from related phenomena, empirical research may lack validity and comparability. For research on children and adolescents in particular, hate speech needs to be differentiated from bullying (e.g., Lehmann, 2019). In a systematic review, we thus identified and systematized empirical studies on hate speech.
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation

Mined bitexts can contain imperfect translations that yield unreliable training signals for Neural Machine Translation (NMT).While filtering such pairs out is known to improve final model quality, we argue that it is suboptimal in low-resource conditions where even mined data can be limited.In our work, we propose instead, to refine the mined bitexts via automatic editing: given a sentence in a language x f , and a possibly imperfect translation of it x e , our model generates a revised version x f or x e that yields a more equivalent translation pair (i.e., <x f , x e > or <x f , x e >).We use a simple editing strategy by (1) mining potentially imperfect translations for each sentence in a given bitext, (2) learning a model to reconstruct the original translations and translate, in a multi-task fashion.Experiments demonstrate that our approach successfully improves the quality of CCMatrix mined bitext for 5 low-resource language-pairs and 10 translation directions by up to 8 BLEU points, in most cases improving upon a competitive translation-based baseline.