Reviewerly/exHarmony huggingface dataset:
Causal Inference-based Study Abroad Program Recommendation System

In recent years, studying abroad has become an important way for more and more people to achieve their personal development goals. However, with a wide range of study abroad programs and varying standards, choosing a suitable study abroad program has become a challenge. This website proposes a recommendation system for studying abroad projects based on causal reasoning. This website conducts causal analysis and inference of user basic information to generate appropriate decisions. Predicting and inferring conclusions based on causal reasoning will lead to more precise planning actions, enabling international students to choose their study abroad projects more accurately, thereby improving the effectiveness of studying abroad. This website is based on a causal reasoning algorithm for career/future planning goals and has designed a corresponding recommendation system for study abroad projects, providing a scientific and reliable way for study abroad planners to choose their study abroad projects.
Selective Secret Sharing Scheme for Privacy of Image and Video Compressed in MPEG-Like Formats

This paper presents a reliable image and video secret storing method, aiming at ensuring the protected storage of multimedia files without risk for their owner to have their privacy violated. It relies on a particular property (standardized in MPEG-A Part.21 VIMAF) of video and image standards such as H.264/AVC, H.265/HEVC and MPEG-HEIF: a non negligible portion of the bitstream (so-called cipherable bits) can be altered without modifying the decodability of the stream. Such a modification results in an image or a video that is both a valid and visually encrypted media file. Not willing to be bothered by a complex key management system, we take inspiration from Shamir's secret sharing scheme, and propose a method where the secret to be shared is the original (unciphered) set of cipherable bits, that are encoded and divided in <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$n$</tex> shares, among which <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$k-1$</tex> or less do not permit to reconstruct the secret, while <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$k$</tex> or more allow to recover it. Those <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$n$</tex> shares are then used to generate <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$n$</tex> ciphered fully standard compliant versions of the media. The rightful owner of the file will easily store these <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$n$</tex> versions in various Cloud storage locations, and recover them all when the fully deciphered file will be needed, while a hacker will most generally obtain only some of those files, hence not be capable to decrypt the file.
THE PROBLEM OF MEDIA EDUCATION AND MEDIA LITERACY AS AN EDUCATIONAL COMPONENT OF THE PROFESSIONAL AND CREATIVE DEVELOPMENT OF FUTURE TEACHERS

The article substantiates the theoretical principles of media education and the formation of media literacy of future teachers in the context of their professional and creative development and readiness for media education activities. The theoretical and methodological aspects of media education and media literacy are highlighted and the conceptual principles of training future teachers for the organization of media education of students are outlined. The peculiarities of training future teachers for the formation of media literacy of schoolchildren are characterized.&#x0D; It is noted that in modern conditions, all media influence the educational process as a whole, the formation of public opinion and views, the behavior of an individual and his consciousness, the reaction to relevant information, etc. The media is gradually becoming a source not only of new information, but also of examples of social behavior, examples of interpersonal communication, etc. It is emphasized that media education is a key component of the country's information security, one of the important factors in the formation of a sense of patriotism, national consciousness, historical memory, etc. Emphasis is placed on the need to find new ways, content, and scientific and methodological support for teacher training for the organization of media education of students in the conditions of a globalized information society. It is noted: what Ukraine will be like tomorrow depends largely on the modern level of professional training of future future teachers and their readiness to organize media education of students using modern educational technologies based on a person-oriented approach in a pedagogically comfortable educational environment that will promote intellectual development and self-development personalities of the future media literate teacher. Professional and creative self-realization of a media-educated personality of a teacher is an important indicator of her life activity and success in the professional sphere.
V-Words, Lyndon Words and Substring circ-UMFFs

We say that a family $$\mathcal {W}$$ of strings over $$\varSigma ^+$$ forms a Unique Maximal Factorization Family if and only if for every $${\boldsymbol{w}} \in \mathcal {W}$$ , $${\boldsymbol{w}}$$ has a unique maximal factorization. Then an UMFF $$\mathcal {W}$$ is a circ-UMFF whenever it contains exactly one rotation of every primitive string $${\boldsymbol{x}} \in \varSigma ^+$$ . V-order is a non-lexicographical total ordering on strings that determines a circ-UMFF. In this paper we propose a generalization of circ-UMFF called the substring circ-UMFF and extend the combinatorial research on V-order by investigating connections to Lyndon words. Then we extend concepts to considering any total order. Applications of this research arise in efficient text indexing, compression, and search tasks.
A Study on the Effectiveness of Agile Methodology Using a Dataset

Abstract There are many methodologies that we can follow in software projects, including the traditional methods, at the forefront of which it was effective and with a good result, but with the constant increase in requirements resulting from the continuous and rapid development in science and technology and digital transformation; Traditional, highly structured project management methods lack flexibility, awareness of change, adaptability to it, and independence; It led to developing this methodology into an Agile methodology in the form it is currently known, which contributed to developing the team’s skills and knowledge. Our focus in this paper is a study on a data set affiliated with the Agile methodology by measuring effort using one of the well-known methods, monitoring the actual time and comparing it with the expected time to deliver a specific work, and also identifying the difficulties they face while working in different environments to build a comprehensive picture of the benefits and advantages of the Agile methodology.
Pengembangan Aplikasi Pelaporan Jalan Rusak Di Kelurahan Bulupabbulu Kecamatan Tempe Kabupaten Wajo Berbasis Android

This study aims to determine the results of developing the Android-based Application for Damaged Road Reporting in Bulupabbulu Village, Tempe District, Wajo Regency based on the results of ISO 25010 testing standards and to determine the results of using the Damaged Road Reporting Application in Bulupabbulu Village, Tempe District, Wajo Regency based on Android. The development model used is a prototype and application quality testing based on the ISO 25010 quality standard. Based on the test results using the ISO 25010 quality standard, the damaged road reporting application has met the standards where: a) the percentage of eligibility is 100% in the Very Good category and has fulfilled the functionality aspect suitability; b) results of 100% are obtained and are in the very good category and have fulfilled the compatibility aspect; c) testing the performance efficiency aspect of the application can run properly without experiencing a memory leak resulting in force close and launch fail; d) the results obtained by 100% of users assess the developed application to be in the Very Good category and have fulfilled the usability aspect.
User Satisfaction Evaluation of E-Learning as a Learning System at Heritage School

This study examines the effectiveness of using E-learning in XYZ school. In education, the issue of using information and communication technologies for teaching and learning is of great importance. This study will provide a literature review and scientific background to the study by reviewing the impact of E-learning, particularly its use in teaching and learning in education. At the moment, the school is using an E-learning system called Learning Management System. This study will analyze the user’s satisfaction for the information quality, system quality, service quality, and its use, by using the PLS-SEM application. The results of this study will determine if the user’s are satisfied and if the system needs to be improved.
Etiqa'a: An Android Mobile Application for Monitoring Teen's Private Messages on WhatsApp to Detect Harmful/Inappropriate Words in Arabic using Machine Learning

In today's world, social networks, such as WhatsApp, have become essential to daily life. An increasing number of Arab children use WhatsApp to communicate with others on a local and global scale, which has led to several negative consequences in their lives, including those associated with being bullied and harassed online. This study presents Etiqa'a, an application aiming to minimize risks and keep threats against minors from becoming a reality. Etiqa'a scans received WhatsApp messages which are then analyzed, and classified using a Logistic Regression (LR) machine learning model. The test results showed an accuracy of 81% in classifying messages as appropriate or inappropriate based on the text of the message. In the case of the latter, the application sends a detailed alert to parents.
Aplikasi Sistem Informasi Pengelolaan Keuangan Dan Inventori Persediaan Barang Dengan Metode Perpectual Pada Ud. Sinar Sejahtera Berbasis Web

Analysis of goods inventory system is a sales information system that produces information that can be useful for supporting sales activities. Sales information system as an application that manages data in collecting, storing sales data so that it can be distributed back to the agency. Information system as a solution in overcoming UD Sinar Sejahtera in the process of managing sales data, purchase data, outgoing goods data, incoming goods data, stock data, and buyer data in an organized manner. The method used in developing this application uses the perpectual method which can be called the bookkeeping method, the results of feasibility testing from application users reach 83% if the application is feasible to use. This research produces new innovations and produces a financial and inventory management application system at CV Sinar Sajahtera Pondok Pesantren Nurul Jadid.
Formation of the lexical module of applied ontology for its learning

The complexity of developing ontologies is associated with their learning, which involves the automation of solving problems related to the extraction of ontological concepts and relationships from natural language texts. For a created ontology used in an information system, there will most likely be a need to expand its conceptual system due to the complication or change in data processing. Subsequent application of text analysis to discover new concepts and in-corporate them into the ontology, that is, linking them with existing concepts, will require identifying the latter in sen-tences of natural language texts. This paper considers the problem of automating the formation of the lexical module of applied ontology, which includes formalized representations of ontological concepts in natural language texts. A brief review of existing works devoted to the use of lexical information about ontology components in solving problems related to the analysis of textual data is presented. The ways of using the OntoLex-Lemon model for determining the structure of lexical representations of ontology concepts are considered. A procedure is proposed for the formation of lexical representations based on the analysis of texts in the subject area, taking into account the case when concepts have names consisting of several words. The results of applying the obtained module for the automatic formation of a training set of a neural network language model used in the ontology learning task for discovering new concepts in the corpus of subject texts are presented.
Three-dimensional aerial images of periodic patterns and the depth of focus for lines-and-spaces patterns (Erratum)

The <i>Journal of Micro/Nanopatterning, Materials, and Metrology</i> (JM3) publishes peer-reviewed papers on the core enabling technologies that address the patterning needs of the electronics industry.
Prediksi Performansi Mahasiswa dengan Mempertimbangkan Motivasi Intrinsik Menggunakan Machine Learning

One of the factors that influence the success of an undergraduate student is learning motivation. Students are required to learn and develop themselves independently and actively find the source of knowledge, not just getting knowledge from the lecturers alone. One type of motivation is intrinsic motivation. Intrinsic motivation can be in the form of satisfaction in undergoing learning and gaining knowledge, the existence of appreciation of the achievements achieved, and the existence of life goals to be achieved. Thus it is necessary to do research to predict student learning performance by considering the intrinsic motivation of students. Primary data was obtained from the motivational questionnaire of 100 students, while secondary data includes attendance data, quiz data, assignments, mid-term exam, and final exam. Furthermore, the two types of data are combined. The first stage uses the Logistics Regression Algorithm, Support Vector Classifier, Decision Tree, Random Forest, Gaussian NaÃ¯ve Bayes, and K-Nearest Neighbors. The quality of the algorithm is measured using the level of accuracy. Cross validation test with 5 K-Fold was carried out, and the Decision Tree algorithm was obtained with the highest yield of 0.898051. The second stage is to do a tuning hyperparameter using a Grid Search and obtained a value of 0.927206. The third stage is to predict data test as much as 21 data and obtained accuracy of 0.904761.
Pelatihan Aplikasi Canva untuk Membantu Kinerja Pegawai di Kecamatan Galesong Utara Kabupaten Takalar

Training in the use of Canva application to assist employee performance is a program aimed at enhancing employees' graphic design skills using Canva. This training provides benefits for beginners who want to learn graphic design with user-friendly features and ready-to-use templates. Research also indicates that Canva application training has a positive impact on employee performance. Therefore, a socialization of Canva application training is conducted at the Office of North Galesong District, Takalar Regency to assist employees in improving their graphic design competence and performance. The implementation method of this activity involves collaboration with relevant parties, field surveys, training material preparation, socialization, workshops, evaluation, and visits to participants. The results and discussion of this activity encompass preparation, administration, counseling, and delivery of materials. Supporting factors in this activity include participants' interest and willingness, as well as interactions with the resource persons. However, there are inhibiting factors such as participants' initial lack of understanding of the Canva application, which can be overcome by providing detailed explanations. From this activity, it can be concluded that the socialization of Canva application usage is essential for enhancing employee performance in graphic design. Participants are expected to apply the training materials, leading to an improvement in knowledge, graphic design performance, and the dissemination of engaging information for the community in North Galesong District.
Sistem Pakar Diagnosa Penyakit Hipotermia Menggunakan Metode Certainty Factor

Abstract— Information technology that is currently developing is utilized in various fields such as education, health and others. One of them is hypothermia in infants. Hypothermia is a condition when the baby's temperature is below normal. It is also not uncommon for someone who sees their child to have some symptoms to seek information about the disease their child is suffering from from people around them or the internet media. When a person is suspicious of a child suffering from hypothermia, then that person needs to confirm the illness his child is suffering from. So that someone who wants to make sure the disease suffered by his child tends to go to the doctor. The problems that occur are costs and places far from home. The purpose of this research was to apply the Certainty Factor method to diagnose hypothermia and to make an expert system application for diagnosing hypothermia using the Certainty Factor approach. The results of the level of confidence based on the symptoms found from hypothermia were obtained using the Certainty Factor method, which was 96.08%. With this system, it is hoped that it will help parents determine the disease their child is suffering from, namely Hypothermia without having to see a doctor for initial treatment.
Security and Privacy in Machine Learning

Machine learning technologies have the potential to transform and revolutionize various industries, such as drug discovery by finding new molecules, medical diagnosis by analyzing images and signals, fraud prevention by detecting anomalies, and security by recognizing faces and objects. However, training and utilizing machine learning models requires handling large volumes of sensitive and private data. In this article, we discuss some of the security and privacy challenges in this process. We focus mainly on how we can securely compute machine learning algorithms over sensitive data, but we also describe data privacy problems in this domain and how we can mitigate them.
STN-Net: A Robust GAN-Generated Face Detector

Massive advancements in Generative Artificial Intelligence in the recent years, have introduced hyper-realistic fake multimedia content. Where such technologies have become a boon to industries such as entertainment and gaming, malicious uses of the same in disseminating fabricated information eventually have invited serious social perils. Generative Adversarial Network (GAN) generated images, especially non-existent human facial images, lately have widely been used to disseminate propaganda and fake news in Online Social Networks (OSNs), by creating fake OSN profiles. Being visually indistinguishable from authentic images, GAN-generated image detection has become a massive challenge to the forensic community. Even though countermeasure solutions based on various Machine Learning (ML) and Deep Learning (DL) techniques have been proposed recently, most of their performance drops significantly for OSN-compressed images. Also, DL solutions based on Convolutional Neural Networks (CNN) tend to be highly complex and time-consuming for training. This work proposes a solution to these problems by introducing STN-Net, a CNN classifier with an extremely reduced set of parameters, which adopts a carefully crafted minimal image feature set, computed based on Sine Transformed Noise (STN). Despite having a much-reduced feature set compared to other State-of-the-Art (SOTA) CNN-based solutions, our model achieves very high detection accuracy ( $$average \ge 99\%$$ ). It also achieves promising detection performance on post-processed images, which mimic real-world OSN contexts.
A Security Analysis of Password Managers on Android

Password Managers are software tools designed to help users easily store and access credentials across devices while also reducing, if not eliminating, reuse of passwords across different service providers. Previous research has identified several security vulnerabilities with desktop and browser-based password managers; however, aside from research on possibilities of phishing, the security of password manager applications on mobile devices had never been investigated comprehensively prior to this paper. We present a study of three of the most popular password managers on the Google Play Store including but not limited to their password generators, vault and metadata storage, and autofill capabilities. By building upon past findings, we identify several weaknesses in password managers including generation of weak and statistically non-random passwords, unencrypted storage of metadata and application settings, and possibilities for credential phishing. In addition, we suggest several improvements to mobile password managers, other Android applications, and the Android operating system that can improve the user experience and security of password managers on Android devices. From our observations, we also determine areas for future research that can help improve the security of password managers.
Effects of T-Factor on Quantum Annealing Algorithms for Integer Factoring Problem

The hardness of the integer factoring problem (IFP) plays a core role in the security of RSA-like cryptosystems that are widely used today. Besides Shor’s quantum algorithm that can solve IFP within polynomial time, quantum annealing algorithms (QAA) also manifest certain advantages in factoring integers. In experimental aspects, the reported integers that were successfully factored by using the D-wave QAA platform are much larger than those being factored by using Shor-like quantum algorithms. In this paper, we report some interesting observations about the effects of QAA for solving IFP. More specifically, we introduce a metric, called T-factor that measures the density of occupied qubits to some extent when conducting IFP tasks by using D-wave. We find that T-factor has obvious effects on annealing times for IFP: The larger of T-factor, the quicker of annealing speed. The explanation of this phenomenon is also given.
A Framework for Securing Email Entrances and Mitigating Phishing Impersonation Attacks

Emails are used every day for communication, and many countries and organisations mostly use email for official communications. It is highly valued and recognised for confidential conversations and transactions in day-to-day business. The Often use of this channel and the quality of information it carries attracted cyber attackers to it. There are many existing techniques to mitigate attacks on email, however, the systems are more focused on email content and behaviour and not securing entrances to email boxes, composition, and settings. This work intends to protect users' email composition and settings to prevent attackers from using an account when it gets hacked or hijacked and stop them from setting forwarding on the victim's email account to a different account which automatically stops the user from receiving emails. A secure code is applied to the composition send button to curtail insider impersonation attack. Also, to secure open applications on public and private devices.