Reviewerly/exHarmony huggingface dataset:
OpenStack in Higher Education and Academic Research: A Case Study on Benchmarking Big Data Processing Tools

Despite many generous grants and discounts provided by major suppliers of cloud resources for academia and/or research teams, the cost incurred by the deployment and operationalization of cloud storage and processing is far from trivial. Hybrid cloud open-source solutions such as OpenStack can prove extremely important for institutions lacking generous financial resources. This is the case with the RaaS-IS platform installed at Alexandru Ioan Cuza University of Iasi which hosts a large variety of research projects on Big Data, Machine Learning, Text Mining, Molecular Biology, etc. developed by research teams from various institutions. This paper introduces a technical solution built on OpenStack, designed to assess the performance of data processing—specifically SQL queries—across a broad spectrum of Big Data tools, such as Apache Hadoop and Spark. The aim of the solution is to evaluate SQL query performance as data volume scales from hundreds of gigabytes to terabytes. The evaluation considers various query parameters, including the number of joins specified in the FROM clause, predicate filters in the WHERE clause, attributes in GROUP BY, conditions in the HAVING clause and many more.
Automated Detection and Management of Deprecated Helm Releases in Kubernetes Clusters

This article introduces a Golang application that revolutionizes Helm release management in Kubernetes clusters. Helm, a popular package manager for Kubernetes, simplifies the deployment of applications. However, managing and identifying deprecated Helm releases can be challenging. This application leverages the Kubernetes Go client library and the Helm Go client library to fetch Helm releases from the cluster. Using intelligent algorithms, the application automatically identifies deprecated releases based on their status codes. This article provides a comprehensive guide on building and running the application, ensuring administrators can efficiently monitor and address deprecated Helm releases. It highlights the significance of proactive actions to maintain the stability and security of the Kubernetes environment. With automated identification of deprecated releases, Kubernetes administrators can optimize their infrastructure, reduce risks, and enhance operational efficiency. The application empowers administrators to stay ahead of potential pitfalls, making Helm release management seamless and hassle-free.
A development of an automated system for the transportation and cutting of raw glass using a suction gripper and a Fletcher cutter with a KUKA robot

Currently, industries need to reduce production times, eliminate the possibility of human errors, and increase company profits. However, this is quite challenging since operators, working long hours each day, are prone to making mistakes due to fatigue or the use of outdated techniques. Taking this into account, this paper proposes the development of a hybrid suction and cutting gripper utilizing a Fletcher cutter attached to a KUKA KR60 robot responsible for cutting and transporting raw glass. The robot’s motion is programmed using Kuka Sim Pro, while the design and stress analysis of the hybrid gripper were performed in Inventor. The result was an automated system capable of achieving cuts with a precision of 0.025 mm and a speed ratio of approximately twenty cutting and transportation processes per hour.
VSpace: A browser-based vowel synthesiser

Two-formant representation of the universal vowel space is a foundational model in phonetics (Fant &amp; Risberg 1963; Traunmüller &amp; Lacerda 1983), but tools for rapid synthesis of vowel sounds corresponding to points in the vowel space are limited. Stand-alone applications such as the Formant Synthesizer Demo (Beskow, 2000) provide this functionality, and rich tools for formant synthesis are available in Praat (Boersma and Weenink, 2023), Matlab (Rabiner et al., 2023) and other platforms, but these tools are not universally accessible, while web-based speech synthesis tools (e.g., Thapen, 2017) do not typically allow systematic manipulation or quantification of key acoustic parameters. VSpace is a browser-based formant synthesizer developed using the Tone.js Web Audio framework. A universal vowel space is represented as a trapezoid scaled to typical male, female or child speaker formant ranges. Clicking on any point generates a vowel sound corresponding to the first and second formant frequencies selected, synthesized with typical F3 and F4 frequencies excited by a selectable source signal. IPA symbols corresponding to typical formant frequencies for language-specific vowel phonemes may be superimposed on the vowel space. Key synthesis parameters are configurable through the web interface to allow exploration of the acoustic consequences for vowel perception.
Exploring Gen in MaxMSP: Approaches to virtual analog and wavetable synthesis

The proposed poster presentation will explore using the Gen environment in MaxMSP to develop software that implements virtual analog and wavetable synthesis. Gen is a powerful tool that enables one to approach sound synthesis on an elemental level by implementing signal processing on the sample level instead of dealing with audio frames. The talk will explore both graphical patching and using the embedded text-based language GenExpr using the codebox operator. Focus will be placed on developing design patterns for developing efficient sound synthesis routines and learning to experiment in realtime with Gen.
Vibration mode analysis and estimation of sound power of source for acoustic tube driving by single reed

Reproduction of wind instrument using additive manufacturing has been studied for the purpose of cultural property by Takahashi et al. It is known that the material of air reed instruments has little effect on sound quality, indicating the possibility of reproducing the Shakuhachi, a Japanese air reed instrument. On the other hand, in the case of the reproduction of classical oboe, a listening test using short musical phrases suggested the possibility of distinguishing the difference of the real instrument from that the reproduced instrument. Since the vibration of the tube caused by reed vibration is greater in reed instruments than in air reed instruments, it is considered that the sound power of the source caused by the vibration effective on the tone. In this study, a 3-D printer was used to create an acoustic tube driven by a single reed, and the sound power of the source generated by the vibration was estimated by analyzing the vibration modes generated in the acoustic tube.
Positionality in a Contemptuous Time: Ethical Considerations and Discussions on Researching Language, Gender, and Sexuality

Abstract This article explores some of the ethical considerations about researching language, gender, and sexuality studies. In particular, it focuses on the potential risk posed to researchers from the perspectives of physical and mental health, especially as caused by conducting critical linguistic research into violent online misogyny, transphobia, and homophobia. I argue that there has been an increase in hate-based incidents related to gender and sexuality, and that while scholars are doing high-quality research in language, gender, and sexuality studies, these incidents might dissuade others from entering or remaining in the field. I also argue that there is some hostility towards scholars challenging gender-based hegemonies, which has real-world impacts on researchers. I highlight that there is a lack of support systems in Higher Education Institutions, and that sometimes the frameworks provided by these organisations are not conducive to safe research into the language of online gender/sexuality hate. I also argue that some of the frameworks, goals, and guidelines provided by Higher Education Institutions can misalign with norms of the discipline. As such I highlight where there are systematic shortcomings, in the hopes that affirmative action might be taken to better facilitate the continuation of high-quality research into language, gender, and sexuality studies.
Design and Development of 3D Gaming Application for Promoting Domestic Tourism

Domestic tourism promotional effort is essential to attract more tourists to travel to Kuala Lumpur city. The gaming approach can boost the tourism industry in Kuala Lumpur city as it helps to attract users to be more interested in the designed game content. However, the existing tourism-related gaming applications that can be downloaded from the market is very few. Hence, the Kuala Lumpur explorer gaming application will be created to introduce historical events and the city's unique domestic culture to users aged 15 to 30. Game development life cycle (GDLC) approach will be implemented in this project to build the Kuala Lumpur tourism-promoting gaming application. This gaming application is expected to help the users better understand the relevant information about Kuala Lumpur city.
Enterprise Architecture Design on Data and Application Domain Using TOGAF Framework (Case Study: Communication and Informatics Office of Bandung City Government)

The development of information technology has played an important role in supporting the development of electronic-based government systems (EGBS). However, according to EDGI (E-Government Development Index) 2018, Indonesia ranks 107 out of 193 countries. To realize a good, clean, effective, transparent, and accountable government system, The Department of Communication Informatics Office of Bandung City Government requires a standardized electronic-based government system (EGBS) in accordance with the legislation of Presidential Regulation No. 95 of 2018. Therefore, the TOGAF ADM framework can be used to design an enterprise architecture that produces an IT roadmap to support The Department of Communication Informatics Office of Bandung City Government of the Bandung City Government in implementing an Electronic-Based Government System (EGBS) in the data architecture and application architecture domains. The TOGAF ADM framework consists of nine phases that describe a series of recurring, dynamic, and interrelated activities from the preliminary phase to migration planning. By using the TOGAF ADM framework, The Department of Communication Informatics Office of Bandung City Government can implement an efficient and effective Electronic-Based Government System (EGBS) and contribute to the quality of public services.
Waste Bank Application: Internal Control System and the Quality of Financial Statements

This study investigates the impact of implementing a Waste Bank Application for Waste Banks in Bandung City. The Waste Bank Application facilitates the financial recording process. This study investigates the effect of using accounting information systems, human resources quality, and internal control systems on the quality of financial statements. Waste Bank Managers who were respondents in this study were 69 people. This study found that the utilization of accounting information systems and human resources quality did not affect the quality of financial statements. Different results show that the internal control system positively affects the quality of financial statements. The Waste Bank Application supports the effectiveness of the internal control system so that the accounting information system and human resources are well organized and run according to their functions.
Understanding User Perception of Ride-Hailing Services Sentiment Analysis and Topic Modelling using IndoBERT and BERTopic

Gojek is a unicorn startup that originated in Indonesia and disrupted the country’s transportation business ecosystem. They provide innovative solutions by enabling intercity transportation using a mobile app, thus filling the dire demand of most Indonesian for easy and relatively cheap rides. Listening to customers’ voices through social media is one of their strategies for developing product-market fit. Extracting meaningful insights or sentiments for the Indonesian language is challenging and previously done using a labeling-based method. However, the development of IndoBERT provides easier and better text mining methods using Indonesian language texts. We aim to understand Gojek’s customer perspective on service quality by performing sentiment analysis on their tweets containing their experiences when using Gojek’s mobile app. We employ IndoBERT in our model to classify the sentiments of 32.985 tweets, then extract the topics in each sentiment class to identify strengths and improvement opportunities in Gojek’s service dimension. The results are recommendations for Gojek to improve its service in several dimensions. Companies aiming to extract their customers’ voices can adopt the current study's model.
Dixit Player with Open CLIP

A computer vision approach through Open AI’s CLIP, a model capable of predicting text-image pairs, is used to create an AI agent for Dixit, a game which requires creative linking between images and text. This paper calculates baseline accuracies for both the ability to match the correct image to a hint and the ability to match up with human preferences. A dataset created by previous work on Dixit is used for testing. CLIP is utilized through the comparison of a hint to multiple images, and previous hints, achieving a final accuracy of 0.5011 which surpasses previous results.
Geological sampling

Geological sampling forms the foundation for a vast array of preliminary and advanced geochemical data collection. The data generated after sample collection underpins many of the fundamental hypotheses and paradigms that have been developed in the earth sciences. Geological sampling can, at times, be an underappreciated aspect of a geochemist's workflow, particularly given the influence sample collection can have over resulting datasets. In this chapter, we provide examples of scenarios where biases can be imposed onto geochemical datasets during the sampling process. We also attempt to summarize aspects of geological sampling that tend to be under-discussed or are of a growing concern to the geoscience community. This chapter represents a somewhat personal account of geological sampling with anecdotes that serve to highlight various aspects of the important discussion surrounding geological sampling.
A Simple Understanding of Linear Independence and Linear Correlation

There are many important concepts in linear algebra, such as linear correlation and linear independence, eigenvalues and eigenvectors, and so on. Among them, linear correlation and linear independence have irreplaceable importance, and have important applications in fields such as algebra, signal processing, and artificial intelligence. This article provides a graphical explanation of how to distinguish between the concepts of linear correlation and linear independence, the method provided in the paper is easy to grasp. The conclusion points out that linear independence means that there are no two (base) vectors with the same direction in a vector graph; otherwise, it is a linear correlation.
Pandemic Speed: Accelerating Innovation in Cyber Security

Cyber security developers and threat-attackers have always had a reactive relationship. Developers spend time building secure defences only for attackers to exploit new vulnerabilities. Academic and practice literature revealed that human error and motivation plays a major role in the success of a cyber defence strategy and whilst technology and process have their place, implementation and management can significantly affect results. Organisations learn from experience protecting against human error with process and shadow IT with policy. Threat-actors also learn; sharing vulnerability information with others and developing new attack methods with their peers. COVID-19s’ isolation countermeasures may have shifted the balance of power towards the attackers. As cyberattack disruption moves from virtual to the physical world, countries must consider and weigh the benefits of international collaboration against potential exploitation by a more advanced collaborative partner. To address identified gaps, website analysis and in-depth interviews were conducted. I interviewed thirty staff in small and medium-sized Australian organisations to gain an understanding of their perspectives on cyber security and several of the findings may be relevant to future ways of working. No standards exist for cyber security products and configuration by unskilled consumers could increase the quantity of insecure devices available for threat actors to use for disruption and control. As COVID-19 created an environment where rapid innovation became a necessity, the ability to absorb intelligence and adopt more diversity in design and implementation becomes a necessary consideration for those who want to succeed. Creating pathways for cultures, genders and ages to collaborate, could help improve cyber defences for all.
Work Time Organization

Productivity as a software engineer can be influenced by many factors: the duration of your work hours, your level of focus, and the frequency and quality of your break. A well-structured workday helps to maximize your efficiency and reduces stress and burnout. It includes planning your tasks, setting realistic goals, taking regular breaks to rest, and minimizing distractions. It also involves maintaining a healthy work-life balance and ensuring that your professional responsibilities don't encroach on your personal time.
Improving dehazing results for different weather conditions using Guided Multi-Model Adaptive Network (GMAN) and Cross-Entropy Deep Learning Neural Network (CE-DLNN)

In computer vision, image dehazing remains a pivotal challenge, especially in accommodating diverse weather conditions that greatly impact visibility and image quality. The development of deep learning algorithms for image dehazing has been a prominent area of research in recent years. Two such methods are the Cross-Entropy Deep Learning Neural Network (CE-DLNN) and the Guided Multi-Model Adaptive Network (GMAN), which have shown promising results in removing haze from images. In this paper, the performance of these two methods is compared in terms of PSNR, SSIM, and MAE on dehazed images. It is found that GMAN outperforms CE-DLNN in these metrics, producing dehazed images with higher PSNR, SSIM, and lower MAE. Additionally, an investigation into the combination of GMAN and CE-DLNN demonstrates further improvements in the performance of both methods, resulting in higherquality dehazed images with enhanced details and textures. These findings substantiate the potential of utilizing deep learning-based approaches for image dehazing and highlight the benefits of synergistically integrating various methodologies to optimize performance.
Job Satisfaction

We've seen that being a software engineer is not without its challenges when it comes to achieving job satisfaction. Let's first delve into the universal aspects of job satisfaction before turning our focus onto the unique elements that apply specifically to software engineers and their teams. Additionally, we'll explore ways to enhance these factors and discuss effective strategies for dealing with those aspects that are beyond our control.
How to Find a Dream Job

So, you're at a point where you're not happy with your current job. It could be that you can't see yourself growing as a software engineer or your company's values don't fit with yours. Maybe your project isn't what you hoped for, and you can't change it, or you're missing things like a good work-life balance, nice relationships with colleagues, or a fair salary. Or, you could be in an even better place: you don’t need to get a new job right now, you're just keeping your eyes open.
Improved clustering algorithm for personal privacy and security protection of elderly consumers

With the advancement of technology, there is an increasing emphasis on the personal privacy and security of elderly consumers. This article focuses on the personal privacy and security protection of elderly consumers. Based on the K -means (KM) clustering algorithm, the optimal value was obtained using the monarch butterfly optimization (MBO) algorithm. The migration operator and adjustment operator of the MBO algorithm were enhanced using differential variation algorithm and adaptive methods to obtain a modified monarch butterfly optimization (MMBO) algorithm. Then, to ensure secure protection during clustering, differential privacy (DP) was employed to add noise perturbation to data to obtained a method called DPMMBO-KM algorithm. In experiments on the UCI dataset, it was found that the MMBO-KM algorithm had better clustering performance. Taking the Iris dataset as an example, the MMBO-KM algorithm achieved the highest accuracy of 93.21%. In the application to recommendation systems, the DPMMBO-KM algorithm achieved higher F1 values under different privacy budgets; the average was 0.06. The results demonstrate that the improved clustering algorithm designed in this article can improve clustering results while ensuring personal privacy and data security, and also perform well in recommendation systems.
The Role of Students’ Immediate Social Environment in Supporting Their Social Well-Being

The article discusses the current problems of supporting the social well­being of students of secondary vocational and higher education. Based on the materials of a sociological study conducted in the Khanty­Mansiysk Autonomous Okrug (KhMAO-Yugra), the problems of social well-being of students were analyzed, one of the sources of which was their immediate social environment. The article identifies two groups of it: on the one hand, parents, relatives, friends, on the other — teachers, mentors, curators, stuff of departments, deans, representatives of the trade union organization. Various aspects of the socio-demographic portrait of students are shown, important aspects of the students’ immediate environment and their social well-being are considered, the subjects of support for the social well-being of students are characterized.
Media Projects in Line With Applied (Educational) Urban Studies: Theory and Practice

The article is devoted to revealing the potential of educational urbanism as a new direction in applied sociocultural research using the example of the project “The City Discovered by You.” The author reveals the features of modern digital culture and highlights significant aspects of its functioning (technical and technological, axiological, humanitarian). Each of these aspects is significant for education. This direction of applied sociocultural research as educational urbanism is substantiated, and its potential in media education is revealed. Using methods of discourse analysis and pedagogical modeling, issues of integration of the real and virtual worlds in educational practices are revealed. The importance of educational urbanism in professional activities for the spiritual and moral education of students based on basic national values is shown. Examples of specific tasks in line with media pedagogy are given to solve the problems of developing the socio­cultural space of the city and presenting the results of their own research, creative and social activities of schoolchildren in the digital environment.