Reviewerly/exHarmony huggingface dataset:
HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models

In recent years, Text-to-Image (T2I) models have been extensively studied, especially with the emergence of diffusion models that achieve state-of-the-art results on T2I synthesis tasks. However, existing benchmarks heavily rely on subjective human evaluation, limiting their ability to holistically assess the model’s capabilities. Furthermore, there is a significant gap between efforts in developing new T2I architectures and those in evaluation. To address this, we introduce HRS-Bench, a concrete evaluation benchmark for T2I models that is Holistic, Reliable, and Scalable. Unlike existing benchmarks that focus on limited aspects, HRS-Bench measures 13 skills that can be categorized into five major categories: accuracy, robustness, generalization, fairness, and bias. In addition, HRS-Bench covers 50 scenarios, including fashion, animals, transportation, food, and clothes. We evaluate nine recent large-scale T2I models using metrics that cover a wide range of skills. A human evaluation aligned with 95% of our evaluations on average was conducted to probe the effectiveness of HRS-Bench. Our experiments demonstrate that existing models often struggle to generate images with the desired count of objects, visual text, or grounded emotions. We hope that our benchmark help ease future text-to-image generation research. The code and data are available at https://eslambakr.github.io/hrsbench.github.io/.
A Comparison Between SymSpell and a Combination of Damerau-Levenshtein Distance with the Trie Data Structure

Non-word error results from a spelling error where the word itself is not in the dictionary and is not a known word. This study compares two non-word error correction methods for Indonesian: SymSpell and a combination of Damerau-Levenshtein distance with the trie data structure (DLTrie). We evaluated the performance of both methods for isolated-word and context-dependent cases. For SymSpell, we implemented its two variants: weighted and unweighted. Furthermore, we enriched the KBBI V dictionary with additional words from Wiktionary to form an Indonesian dictionary of 91,557 words. To evaluate both methods, we built a synthetic dataset containing 58,532 misspellings. The evaluation measures the best-match accuracy, candidate accuracy, and run time. The experiment shows that for isolated-word cases, SymSpell performed better than DLTrie as it obtained a higher best-match accuracy and a lower run time than DLTrie. The best-performing SymSpell implementation is the weighted SymSpell, which has the best-match accuracy of 66.79%, candidate accuracy of 99.33%, and a run time of 0.39 ms per word. On the other hand, for context-dependent cases, SymSpell obtained a slightly lower best-match accuracy of 89.58% compared to DLTrie's 89.93%, but it was faster by several orders of magnitude.
Implementation of Quantum Simulation-Based Image Steganography in Mobile Applications and Website for Student Learning

Data protection and multimedia content security have grown to be critical and current concerns in people’s lives in this sophisticated digital era. Awareness of the importance of keeping personal information private in the online world has become very significant. A long-term strategy that strives to raise public comprehension and awareness of the risks connected with sharing personal content online is required to overcome this problem. Educating people about steganography or information hiding methods through online learning resources is one possible option. There are three image steganography methods that will be implemented, namely quantum spread spectrum, quantum discrete cosine transforms, and quantum wavelet. The designed website and mobile application incorporate practical features for embedding and extracting hidden data within images. Additionally, provide material for understanding steganography, quantum technology, and an explanation of the three methods applied. This paper involves functionality testing to check the buttons and features on the website and mobile application can run properly. Then, user satisfaction testing is carried out to find the experience and impression of users in using the application and website that has been made. The test results show that the quantum-based information hiding application has successfully provided good service and insight to society. With this approach, it is hoped that people can increase their awareness of the importance of data security and multimedia content.
QUICKVC: A Lightweight VITS-Based Any-to-Many Voice Conversion Model using ISTFT for Faster Conversion

With the development of automatic speech recognition and text-to-speech technology, high-quality voice conversion can be achieved by extracting source content information and target speaker information to reconstruct waveforms. However, current methods still require improvement in terms of inference speed. In this study, we propose a lightweight VITS-based voice conversion model that uses the HuBERT-Soft model to extract content information features. Unlike the original VITS model, we use the inverse short-time Fourier transform to replace the most computationally expensive part. Through subjective and objective experiments on synthesized speech, the proposed model is capable of natural speech generation and it is very efficient at inference time. Experimental results show that our model can generate samples at over 5000 KHz on the 3090 GPU and over 250 KHz on the i9-10900K CPU, achieving faster speed in comparison to baseline methods using the same hardware configuration.
Hybrid Encryption of ElGamal-AES with Huffman Coding for Efficient Data Communication

Information security or data transmission efficiency and reliability are unanimously considered as some of the most important things that are required whenever communication between parties is to be established. Inefficient data security and improper management of voluminous data during data communication increases data transmission cost, delay in data transmission, and risk of confidentiality and privacy to the transmitted data. Thus, this paper proposes an improved cryptosystem to ensure reliability and efficiency to data in communication channel. The work adopted two cryptographic methods (ElGamal cryptosystem) for the asymmetric key distribution; Advanced Encryption Standard (AES) was suggested for message encryption. In the other hand, Huffman coding (compression algorithm) was introduced along the way to reduce the size of the data to be transmitted. The results of our proposed scheme show that the entropy ensures reliability and encryption time ensures efficiency to data in communication channel. This hybrid scheme is promising with a potential of improving data security.
Pengembangan Multimedia Pembelajaran Dengan Aplikasi Lectora Inspire Pada Materi Bumi Sebagai Ruang Kehidupan di Kelas X SMA Negeri 5 Surakarta

&lt;p&gt;&lt;em&gt;The aim of this research are to knows (1) To determine the feasibility of developing multimedia learning applications for Lectora Inspire on earth material as a space of life in class X IPS SMA N 5 Surakarta. (2) Knowing the effectiveness of multimedia learning Lectora Inspire applications on the material of the earth as a space of life after being implemented in class X IPS SMA N 5 Surakarta.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;The research method used in this research is the research and development method with ADDIE development models namely Analyze, Design, Development, Evaluation and Implementation. Data collection techniques with interviews, questionnaires, tests and documentation. Data analysis techniques with multimedia feasibility analysis of the questionnaire by the validator and calculation of effectiveness with the T test with a confidence level of 5% of the data that has been calculated with the normality test.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;Based on data analysis, the results of the research are known as follows: (1) Multimedia learning of Lectora Inspire applications on the material Earth as Life Space in class X SMA N 5 Surakarta is feasible to use by obtaining a value of 5 (very feasible) based on the results of validation. (2) Multimedia learning application of Lectora Inspire on the material of Earth as Life Space in class X SMA N 5 Surakarta is effective to be used in the learning process based on the T Test to obtain the results of Sig. (2-tailed) is 0,000 so less than 0.05 then Ho is rejected and Ha is accepted.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt; &lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;Keywords : &lt;/em&gt;&lt;em&gt;Development of Learning Multimedia, Lectora Inspire, ADDIE, Earth as Life Space.&lt;/em&gt;&lt;/p&gt;
Solving Arithmetic English Word Problems Using Intermediate Representation

Developing a system to tackle math word problem solving is recognized as a complex undertaking that necessitates machine common sense, including logical inference. Despite the ongoing endeavors devoted to this field, developing a solver system that can effectively handle diverse datasets continues to pose a significant challenge in the present times. This project pioneers the evaluation of the Encoder-Decoder approach as a means of constructing an English language math question-answering system. Unlike methods requiring human feature engineering, this approach has displayed promising potential as a solver for the Chinese language. In our research, we customized the model for the English language, performed assessments using a subset of the MathQA English datasets, and carried out a sequence of experiments with the goal of improving the model's precision and scope.
Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems

Recommender systems play a crucial role in how users consume information and establish new social relations. However, different factors (such as the data collection process, the designed recommendation model, or even the interpretation of findings) could make recommenders (unintendedly) prone to biases, favouring certain user groups or items, thus resulting in unfair outcomes. Recommenders also face fairness criticism for inducing filter bubbles, echo chambers, and, more generally, facilitating opinion manipulation. In this work, we study the impact of user recommender systems on fairness. To this end, we carry out a user recommendation task on a politically polarized Twitter data collection. Then, we evaluate how the different politically aligned user groups experience recommendation quality. Finally, we explore causal models to identify data and model-related features that could affect the fairness of recommender outcomes. Our study shows that political alignment is associated with the unfairness of recommenders affecting not only the relevance of recommendations, but also their diversity and the resulting interaction patterns.
Uji Validitas dan Reliabilitas Instrumen Pengukuran Kemampuan Literasi Siswa Sekolah Dasar

Abstract&#x0D; Background: Literacy is a component of children's performance that is closely related to language skills. Metalinguistic awareness, reading comprehension, and dictation skills are some of the components of literacy that children need to master, especially in the early literacy learning process. The development of instruments is important to provide better clinical services, especially for children with learning disorders. Objectives: This article explains the value of validity and reliability of instruments testing metalinguistic awareness, reading comprehension, and dictation. Method: data collection using a direct test approach to children. The search for the validity and reliability of the instrument involved 45 children in grades 2-6 of elementary school. Test validity using correlation test. To find out the reliability value, use the Cronbach Alpha test. Results: The results of the correlation analysis found that all items on the metalinguistic awareness test, reading comprehension test, and dictation had good validity. All tests have reliability scores above 0.900. Conclusion: all instruments have fulfilled the initial rules in the development of an instrument or measuring instrument. Further development is needed, namely by collecting data with the target of determining norms according to the student's class.&#x0D; Keywords : validity, language, reliability, literacy, learning
An Evaluation Study of the Reality of Using the Zoom Platform for E-Learning by Al-Quds University Students in Light of Covid-19 Pandemic

This study aims to see if Al-Quds University students found using Zoom for online learning during the Corona pandemic. This research was applied on a group of people from different colleges and genders at Al-Quds University. Students are chosen from the College of Human Medicine and the College of Law. (224) males and females were included in the study, and they were given a survey to fill, to understand what they think about using Zoom. The study found that different colleges have different experiences using Zoom. But because of the pandemic, everyone was affected equally. Students’ opinions didn't vary based on their gender, academic level, family, or where they live. The main problems for university students using Zoom for classes are that some teachers who do not know how to use it well and it can be expensive to get the right equipment for online learning.
CREATIVITY OF VIA “SMERICHKA” IN THE CONTEXT OF THE DEVELOPMENT OF SONG AND POP CULTURE OF UKRAINE IN THE SECOND HALF OF THE 20TH CENTURY

The article highlights the creative aspects of the artistic activity of the vocal-instrumental ensemble “Smerichka”, to analyze its influence on the development of Ukrainian pop music in the 70s of the 20th century. The ensemble is characterized as one that, in the turning point for Ukrainian song, was able to combine modern and traditional, time-tested musical forms and new genre and style trends. The creativity of VIA “Smerichka” became one of the important elements of the creation of a new type of Ukrainian variety show, which took a course on the development and popularization of national treasures and, with the help of the director L. Dutkivskyi and the availability of appropriate creative resources, became a coherent artistic unit that participated in the processes of development and formation of song-pop culture of Ukraine in the second half of the 20th century art. VIA “Smerichka” belonged to the ensembles that relied on national folklore elements and performed the works of Ukrainian authors, thereby popularizing them. “Smerichka” entered the history of Ukrainian pop music as one of the collectives of the new stage of the formation of the national song. The ensemble combined folk motifs, a unique interpretation of folklore, innovative rhythms and, like the Liverpool “The Beatles”, performed songs that gave a philosophical assessment of contemporary events and phenomena and were extremely popular among the youth of that time. The theme of the ensemble's creativity has absorbed traditional and current trends of Ukrainian pop music: love for the native land, singing of pure and deep feelings and the beauty of nature, highlighting the emotions and feelings of a simple Ukrainian soul. Thanks to the interweaving of elements of folk song material into his work, the sound of the folk song performed by VIA “Smerichka” acquired a new color, refreshed the perception of folklore by people of the older generation, and also became attractive to a young audience, in the context of attracting it to folk sources. A more convex and sharp sound of folklore was provided by the polyphony, which the members of the band used very often and which was complemented by the sound (sound) of rock music, which made the compositions close to European ones without losing national individuality.
Development of an autonomous mobile robot for learning how to use RTK-GNSS

We have developed an autonomous mobile robot for learning how to use RTK-GNSS in our educational field. Global navigation satellite system (GNSS) is widely used to track the actual location of vehicles. Recently, real-time kinematic GNSS (RTK-GNSS), which provides up to centimeter-level accuracy, has been spreading in the fields like land surveying, ICT construction, smart agriculture and drone. Considering the technological innovation, we believe that a platform to learn RTK-GNSS is necessary in the educational filed as well. This paper reports the structure of the platform mobile robot. Furthermore, the basic experiment of autonomous driving control is shown.
U字吊り式円柱昇降ロボットに働く力の計測法の提案と基礎的な物理モデルの構築

The authors are developing a cylinder lifting robot inspired by U-shape suspension, a method for a worker to work stably and stationary on a cylinder using a rope. A physical model of the robot must be constructed to discuss the robot’s motion and to design the robot in detail. However, it is not easy to deduce a physical model for this robot because it moves not only in three dimensions, but also contains a flexible components; rope. Therefore, we measured the forces acting on each part of the robot and attempted to construct a physical model from the analysis of the experimental results. In this paper, we aim to construct a fundamental physical model of the robot in a state in which the robot is stationary on a cylinder and in a state in which the robot is moving at such a low speed that the effect of acceleration is negligible.
Development of a Pneumatically-Driven Aerial Manipulator

This paper reports on the development of an aerial manipulator equipped with pneumatic actuators. By using pneumatic actuators, it is possible to fabricate a lightweight, high-power manipulator with excellent shock resistance and environmental resistance. As a prototype of aerial manipulator, a pneumatically-driven 3-DOF manipulator was designed, fabricated, and mounted on a small quad drone with a wheelbase of 450 mm. The manipulator weighs approximately 610 g, and the total weight of the aerial manipulator is approximately 1.7 kg. Ground experiments of the manipulator are successfully conducted including a 0.5 kg payload operation test and a 200 mm square-drawing test with a marker pen. In the flight experiments, the drawing manipulation test were conducted with a manual attitude control of the drone, which clarifies some technical issues for the aerial manipulator.
Review rating model based on subjective vocabulary in user reviews

A problem of using the user review for scoring restaurants from Yelp’s dataset of restaurant business is discussed. Reviews posted by users on the same product or service are diverse and subjective. The sentiment and focus of user reviews are more likely to be subjective even for the same product and service. A review rating model with subjective tendencies of users is constructed through using sentiment classification and cluster analysis to analyze the subjective vocabularies and sentiment coefficients in reviews. The model identifies the terms of different categories in user reviews, quantifies and analyzes them, combines the sentiment with categories, and finally selects the rating of the restaurant as the dependent variable and the elements including the food quality, the restaurant ambience, the service and the grade of recommendation as independent variables before constructing user ratings by using a traditional least squares multiple linear regression model.
Effect of Cyber Security on Business Sustainability of Listed Microfinance Banks in Nigeria

Purpose: In Nigeria, microfinance banks (MFB) face the burden of investing in cyber security to protect their databases, prevent monetary losses, maintain customer trust, and remain afloat in a competitive business environment. However, there are incessant cyber risks and attacks by criminals who gain undue access to the cyber-space of MFB and cause financial and non-financial loss.&#x0D; Design/methodology/approach: The objective of this quantitative study was to examine the effect of cyber security on the business sustainability of three listed, and most valued MFBs in Nigeria. The population of the study was 315 senior, medium and junior employees of three MFBs in Nigeria. As the target population was manageable, the research adopted a census. Data were collected using a semi-structured questionnaire, and the formulated hypothesis was analysed using multiple regression.&#x0D; Findings: The study found that cyber security has a significant and positive impact on the sustainability of MFB in Nigeria. Data availability account for the largest contribution to the sustainability of MFBs, followed by data confidentiality and data integrity. Employees in a MFB uphold that data availability, confidentiality, and integrity are pivotal elements of cyber security that influence the sustainability of their organisations in Nigeria. Given these results from the viewpoint of employees, MFBs are implored to regularly review and strengthen their risk management strategy and adopt a more integrative approach of human-centric cybersecurity, which brings technology and human elements together to address current and future cyber risks and build and sustain consumer trust in digital financial transactions. The implication of the study and areas for future research are highlighted.&#x0D; Paper type: Research paper
A Collective Tooth Brushing Activity With Special Needs Children Using A Motor-Skill Toothbrush

Abstract. This collective toothbrushing activity aims to improve the dental and oral hygiene of SLB N 1 Bantul by practicing independent toothbrushing activity in maintaining their oral and dental health. It started with a dental hygiene screening, followed by training on collective toothbrushing and making squishy according to the students’ creativity attached to each toothbrush. The collective toothbrushing was supervised by the class teacher and service team. Furthermore, the simple scoring after the activity was conducted. Significant changes were identified in the students' oral hygiene after brushing their teeth. The spirit of brushing teeth properly and correctly appeared along with the students’ happiness in making squishy creations attached to their toothbrushes.
Adjusted Attention YOLOX-Based Far-Distance Face-Recognition

To satisfy the required recognition accuracy from a far distance, an adjusted attention-based YOLOX for face recognition (AA-YOLOX-FR) is designed by an appropriate segmentation of the original image, so that faces' pixels (e.g., 20 × 20 at 15m) effectively train, validate, and test. Based on an edge computing platform (e.g., NVIDIA Jetson-AGX), the processing time for the image 2208 × 1242 with 8 segmentations of 640 × 640 equals 296.3ms in comparison to 95.4ms for its down-sampling to 640 × 640. Although the down-sampling technique achieves a faster processing speed, its recognition rate decreases as a face is at a far distance or with different lighting conditions. The average online video-based recognition rate of AA-YOLOX-FR for a distance from 10m to 15 m and different lighting conditions is 92.5%.