Reviewerly/exHarmony huggingface dataset:
Quantitative approximation results for complex-valued neural networks

Until recently, applications of neural networks in machine learning have almost exclusively relied on real-valued networks. It was recently observed, however, that complex-valued neural networks (CVNNs) exhibit superior performance in applications in which the input is naturally complex-valued, such as MRI fingerprinting. While the mathematical theory of real-valued networks has, by now, reached some level of maturity, this is far from true for complex-valued networks. In this paper, we analyze the expressivity of complex-valued networks by providing explicit quantitative error bounds for approximating $C^n$ functions on compact subsets of $\mathbb{C}^d$ by complex-valued neural networks that employ the modReLU activation function, given by $\sigma(z) = \mathrm{ReLU}(|z| - 1) \, \mathrm{sgn} (z)$, which is one of the most popular complex activation functions used in practice. We show that the derived approximation rates are optimal (up to log factors) in the class of modReLU networks with weights of moderate growth.
Anti-Hong–Ou–Mandel interference by coherent perfect absorption of entangled photons

Abstract Two-photon interference, known as the Hong–Ou–Mandel effect, has colossal implications for quantum technology. It was observed in 1987 with two photodetectors monitoring outputs of the beamsplitter illuminated by photon pairs: the coincidence rate of the detectors drops to zero when detected photons overlap in time. More broadly, bosons (e.g. photons) coalesce while fermions (e.g. electrons) anti-coalesce when interfering on a lossless beamsplitter. Quantum interference of bosons and fermions can be tested in a single—photonics platform, where bosonic and fermionic states are artificially created as pairs of entangled photons with symmetric and anti-symmetric spatial wavefunctions. We observed that interference on a lossy beamsplitter of a subwavelength thickness, or a coherent perfect absorber, reverses quantum interference in such a way that bosonic states anti-coalesce while fermionic states exhibit coalescent-like behavior. The ability to generate states of light with different statistics and manipulate their interference offers important opportunities for quantum information and metrology.
Improving Standard Methods of Message Cryptography

Protecting secret messages from being hacked is a vital issue. In this paper research some standard symmetric and asymmetric methods of data cryptography will be studied and a comparative analysis of these methods will be provided. A simple, highly secure and efficient method of secret messages cryptography will be introduced; the method will use a character private key with variable length. Increasing the PK length will increase the key space making the method capable to resist any attack, the produced decrypted message will be very sensitive to the PK, any changes in the PK during the decryption phase will be considered as a hacking attempt by producing a damaged decrypted message. The proposed method will be implemented using various messages; the obtained results will be analyzed to prove the quality, security and efficiency achievements provided by the proposed method.
EFL TEACHING AND THE ISTE DESIGNER AND FACILITATOR STANDARDS: AN EXPLORATORY OUTLOOK

Nowadays, scholars and researchers adhere to the prominent role information and communication technologies (ICT) play in education, particularly in language teaching. The International Society for Technology in Education (ISTE) has developed a set of standards that provide a framework for developing digital competencies among educators, students, administrators, coaches, and computer science teachers. In light of ISTE standards for educators, the present paper probes the roles teachers play with special reference to the designer and facilitator standards. The target population are EFL Moroccan high school teachers who work in the private sector in the Directorate of Marrakesh, Morocco. Through a quantitative analysis, findings indicate that the teachers in question generally fulfill their roles as ICT designers and facilitators. They adopt technology as a buttressing tool to install a learning-favorite environment. Plainly enough, they use technology-enhanced activities that promote student-centered learning. To a lesser degree, they facilitate collaborative learning and encourage the students to act globally by getting them engaged with the real world through technology. Likewise, this study discloses the existence of a symmetrical relationship between the mastery of internet/computer skills and the use-effectiveness of ICT tools, such as the interactive board and the data shown. In this respect, this study accentuates how adequate training and professional development-bound upskilling can truly promote the target EFL teachers’ digital competencies and help them live up to their roles as ICT designers and facilitators.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0967/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Development of Social Creativity of Future Culture Managers

The article presents the results of instituting the future culture managers’ social creativity development technology in the extracurricular activities of a higher education institution. The technology was developed based on social-educational paradigm of social pedagogy and a verified array of tools was used to diagnose its efficiency. According to the aim, it was defined that social creativity of future culture managers is an active focus of students of said field on mastering worldwide professional experience for socially significant transformation of contemporary culture through professional sociocultural activities. Criteria and indices of future culture managers’ social creativity were substantiated, among which are in particular interest and value attitude towards professional civic life, motivation for personal and professional self-improvement in the culture of global information society, creation of novel sociocultural activity models under conditions of information society’s virtual culture, active and responsible participation in their realization. Effectiveness of the social-pedagogical activities technology, which provides for taking into account novel sociocultural conditions of information society in organizing the extracurricular field of higher education institution, coordinating agents of social-pedagogical activities for developing students’ social creativity via creation of proactive performance center and initiative group, and activation of student self-governance in self-improvement of future culture managers’ social creativity, was proven. Recommendations for further utilization of the technology were developed, among which is the necessity for universities to create favorable social-educational conditions for development and assertion of democratic social values of contemporary students, which will influence their social creativity’s development vector.&#x0D; &#x0D; Received: 2 August 2022 / Accepted: 5 October 2022 / Published: 5 November 2022
IMPROVING DIGITAL SECURITY AND PRIVACY OF STUDENTS IN COLLEGES OF EDUCATION: AN ATTITUDINAL CHANGE FRAMEWORK BASED ON COMPETENCE LEARNING MATRIX

The information revolution is affecting every aspect of society including education resulting in a concept known as digital learning or e-learning. One problem of digital learning environments and tools is the security and privacy of the learners. How to ensure the security and privacy of digital learners remains a major challenge leading to exposure among naive students. The objective of the study was to explore digital security and privacy culture among students and to propose a novel framework to enhance the security and privacy culture of students using a framework based on the competence learning theory. The Design Science Research (DSR) was adopted as a research paradigm with quantitative and qualitative data gathered from the implementation of the framework. 300 students from a college of education were purposively sampled for the study. A WhatsApp message was sent to the student requesting their confidential information under pretexting and impersonation to assess how security and privacy conscious they were. A framework was developed and implemented based on the theory of competence learning. The results showed high levels of vulnerabilities among students at 67.67% before the Implementation of the Framework in Round 1. This vulnerability reduced to 1.67% in after the implementation of the framework in Round 2 and further reduced to 0% in Round 3. The paper concluded that the lack of security and privacy awareness of the students made them Unconsciously Incompetent (UI). Exposure to the vulnerability made them consciously incompetent (CI), whiles further rounds of exposures led them to be consciously competent (CC). further exposure will eventually result in unconsciously competent (UC) as students become resistant and or immune to security and privacy attacks. The implication of this study is that, as more students converge in the digital space, the need to build their immunity and resistance against cyber-attacks is critical to avoid exposure. Learning to be security conscious should be consistent and routine to ensure that students have renewed behavior changes to become resistant and immune to online attacks.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0697/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Digitizing Local Archives and North Sumatera Culture through Literacy Using the E-Library Website

Digitizing local archives and culture through literacy using an e-library website is a reflection as well as an effort to save phenomenal memories which are unique and hardly repeated. An archive is a crucial component of social life and literacy, and it must be conserved because of its historical significance. Archives need to be preserved because the nation’s cultural treasures due to the fact beyond activities documented via data are legal evidence. Technology and information advancements are one of the options that can be used by the public to store online documentation and archiving. Literature can reflect the historical history of a country and are also a cultural driver in the cultural development of society. The type of research used in this study is library research. Data collection techniques were carried out by observation, documentation studies, and interviews at the five research locations, namely the North Sumatra Provincial Library and Archives Service, Tebing Tinggi City Library and Archives Service, Pematangsiantar Library and Archives Service, Regency of Central Tapanuli Library and Archives Service, Sibolga City Library and Archives Service and North Tapanuli Library and Archives Service. The result of this research is that the best library service was shown by the library in Tebing Tinggi, but the Regency of Central Tapanuli Library and Archives Service area has an unprecedented and excellent collection of books and they have got an e-library from Kubuku as a digital library for society.
Administrative Creativity: An Entrance into Achieving Competitive Advantage at Prince Sattam bin Abdulaziz University

The research attempted to determine the role of "administrative creativity" in Prince Sattam bin Abdulaziz University's competitive advantage from the leadership's perspective. The study aims to design a plan to activate and deploy administrative creativity as a competitive advantage in line with Saudi Vision 2030. The researcher used a questionnaire with 5 key themes and 47 items to collect data. The survey covered all academic leaders of Prince Sattam bin Abdulaziz University, including deans and department chairs. The researcher surveyed 172 people from the study's population. In 2022, Prince Sattam bin Abdulaziz University used the research instrument. According to the study, the arithmetic mean for administrative creativity at Prince Sattam bin Abdulaziz University was 3.13. It also concluded that there are no statistical gender disparities, just years of service differences. Based on the results and literature evaluations, a recommended approach was designed to activate and implement "administrative creativity" at Prince Sattam bin Abdulaziz University. The report also advocated preserving administrative creativity, continuing training, offering incentives to encourage innovation, and providing administrative policies, processes, and procedures to retain creative and skilled staff. The report also advocates adopting tactics that leverage the university's resources, expertise, and creativity. In addition, the university must possess a few resources to gain a competitive advantage.&#x0D; &#x0D; Received: 6 July 2022 / Accepted: 10 October 2022 / Published: 5 November 2022
Analysis performance of content delivery network by used Rateless Code method

Content Delivery Network (CDN) is a server system network to content contribution in an application/web to various accessors around the world so that data sent and received by users was faster. Server selection algorithm determines the extent to which the quality of server service to client requests. This study to analyze CDN performance, used Geographical algorithm Domain Name Server (GeoDNS), Round Robin (RR), Weigthed Round Robin (WRR), dan Least Connection (LC). In addition, Rateless Code (RLC) is also applied to reduce packet loss, there are two methods used, namely the first method is rateless code 50 and the second method is rateless code 100. Thus, the trial was carried out 20 times. Besides that, it is also applied Rateless Code (RLC) to less packet loss. From the research results, the use of CDN can improve server service performance. CDN managed to reduce the maximum to the average delay about 67,6%. From the studied CDN algorithm, Geo DNS experienced the lowest delay up to about 67.6 ms, however LC experienced the lowest packet loss, namely about 2,84%. The application of rateless code on CDN with LC algorithm succeeded in reducing packet loss to about 2.84%, but delay increased to about 75.3%.
Financial Accounting Information System With Method Commonsize To Know Financial Performance

PT XXX which is located on Jl. Pantura Semarang- Kendal, Kawayuhan West, Nolokerto, Kaliwungu District, Kendal Regency, Central Java Companies that sell building materials for the construction of buildings and road construction. Some of the building materials are self-produced such as gravel and concrete. PT. XXX is still using the help of MS record financial data. And in the calculations still using the manual method, which must be calculated one by one. In compiling the report is not yet structured. So that the company in reading financial statements still use the estimation method. Which if it continues can cause losses to the company due to performance calculations finance. This study designs a financial accounting information system with commonsize method to determine the financial performance of web-based companies. Which uses the PHP and MySQL programming languages. The purpose of existence The system can help companies perform financial calculations company and conduct financial performance analysis. So that the company It is easy to know their financial performance.
Implementation of Web-based of E-Marketplace for UMKM at XYZ University

One of the private universities in Pekanbaru, which has nine postgraduate faculties and 10 faculties with 21 study programs. The number of the academic community is quite large, there is already a whats app group that facilitates the entire Academic Community in terms of transacting selling goods or services online. However, in practice it has not been fully effective, one of which is because there are no clear rules in trade ethics, for example, one person may only post a maximum of two products a day because if there are too many, it will overwrite other seller's product postings as well. This often happens, causing whats app groups are only dominated by one or two people who post all the products sold along with their customer testimonials. This of course can harm other sellers, it can also disturb the comfort of the group for both sellers and buyers. Therefore, to answer these problems, a market place is proposed specifically for the entire XYZ’s Academic Community. In addition to reviving UMKM at XYZ University, it is also a forum to make it easier for lecturers, employees and also students to make transactions that are comfortable and effective for both sellers and buyers. Furthermore, system development will be carried out both from adding features, android-based and matters related to user convenience in interacting with the system.
DETEKSI MASKER WAJAH SECARA REALTIME DENGAN ARDUINO UNTUK MENCEGAH PENYEBARAN COVID-19

The emergence of the COVID-19 pandemic has had a lasting impact on countries around the world since 2019. Face mask detection has been a significant advance in the field of image processing and deep learning studies. Many face detection models have been designed using different algorithms and techniques. The approach proposed in this proposal is developed to prevent people without masks from entering public places (i.e. Malls, Universities, Offices, …etc) by detecting face masks using deep learning, TensorFlow, Keras, and OpenCV methods and sending a signal to the connected Arduino device. to the door to be opened. To detect a person's face in real-time and identify whether the person is wearing a mask or not. This method uses datasets collected from various sources.
Peningkatan Kompetensi Guru Bahasa Inggris dalam Penulisan Artikel pada Open Journal System (OJS)

Teacher training activities in writing article and publication on the Open Journal System are strategic to be carried out. This is expected to have an impact on increasing the ability of teachers in writing scientific papers and also publications. In addition, it is hoped that through the writing culture, an academic climate will be developed among teachers. The implementation of training articles and publications in journals for Musyawarah Guru Mata Pelajaran (MGMP) Bahasa Inggris Sekolah Menengah Atas (SMA) Kota Sorong group is expected to be a solution to the lack of teacher publications. In addition, participants who will take part in this training will share the knowledge gained with their fellow teachers at their home school. The results of this Community Service activity show an increase in the ability of teachers from the average pre-test score of 59 and post-test 89. The conclusion from this activity is that the training carried out has succeeded in increasing the competence of English teachers in Article Writing and Publication in the Open Journal System (OJS).
Comparison of Evaluation and Selection of SmartPhones Recommended AHP, Weight Sum Model, and Weight Product

Advances in SmartPhone technology in the current era, make many users have more and more considerations to have a SmartPhone because there are many criteria that must be compared. The purpose of this paper is to give careful consideration for every user to have an optimal SmartPhone. Problems that are felt by many users as users find it difficult to make choices for electronic goods in the form of this SmartPhone. Thus, a number of methods are needed that are able to give careful and intelligent consideration to the user in order to obtain the acquisition of the electronic goods in the form of the SmartPhone. In short, the method that can be used to evaluate and select SmartPhones is the Analytic Hierarchical Process (AHP) which functions as a weight determination, while the Weight Sum Model (WSM) and Weight Product (WP) act as a ranking system. This method will be used to provide an optimal comparison value for SmartPhone products with decisions that can be seen based on the priority of the WSM vector and the WP vector, then based on the average of the two methods provide decision support results. The first position is Xiaomi Mi Max with a weight of 175 and followed sequentially onwards by Asus Zenfone Max ZC550KL (174), Samsung Galaxy J7 Prime (124), Lenovo Vibe Shot (117), Asus Zenfone 2 ZE551ML (113), Xiaomi Mi 4C (108 ), Lenovo Vibe K5 Plus (101), and finally the Samsung Galaxy A3 (89). Thus the combination method between the AHP, WSM and WP methods can provide the best solution with optimal results for decision-making support for comparison evaluation and selection in the form of a SmartPhone with optimal results.
Investigating the impact of CNN Layers on Dysgraphia Handwriting Image Classification Performance

The diagnostic and detection process for distinguishing dysgraphia handwriting is vital in the intervention procedure to personalise the severity level of children's handwriting at an early stage.Currently, many deep learning methods and developments focus on other different domains such as handwriting signals and computer-based screenings that offers several limitations in time consuming and intricate procedures.Therefore, the dysgraphia handwriting classification using convolutional neural networks (CNNs) has seen a lot of success in the domain of handwriting image-based data that offers clear structured topology in the regular lattice of pixels in the dysgraphia handwriting patterns.However, due to the diversity and different characteristics of handwriting patterns, the convolution operations such as local connectivity layers and architectural framework in CNN model are numerous and invariant to generalize the features map in learning model classification.Thus, the comparative study of CNN layers is presented to investigate the impact of the different number of layers based on automated feature extraction for classifying dysgraphia and non-dysgraphia handwriting images.Experimentally, five CNN models that differ in structural architecture layers namely CNN-1, CNN-2, CNN-3, CNN-4, and CNN-5 are trained and validated using synthetic letter images dataset to observe the performance of each model.The CNN models are evaluated based on the confusion matrix of predicted and actual classes.Overall, the experiment shows high accuracy gained when the number of feature extraction layers is increased, which is five convolution layers outperformed others with significant training accuracy of 97.2% and 95.86% validation accuracy.The testing accuracy of 87.44% has approved that the proposed model is relatively accurate.
Optimizing Query Results in the Search Features of the Marketplace Platform Online Book Rental and Sales

Today's technology is becoming more complex. For instance, while making online transactions, buying and selling, and renting books. It will undoubtedly make it easier for the younger generation to study more profoundly today. In this situation, the author desires to deliver accurate and efficient data returns from query optimization from the book list and book information so that all students may search for selected books quickly and accurately based on their preferences. This research is required due to the availability of an Information System in the form of a website appropriate for this situation; the study's goal is to aid students or students in locating references by obtaining rapid results. By submitting the research title "Optimizing Query Results in the Search Features of the Online Books Sales and Rental Marketplace Platform," the author intends to establish a websitebased rental and sales information system in response to the current challenges. Furthermore, the methodologies employed in this study include observation, literature review, analysis, design, and testing (testing).