Reviewerly/exHarmony huggingface dataset:
Ethical Issues in Continuous Experimentation

Continuous experimentation (CE) is a software practice used in organizations to verify the feasibility of a product and its features. It provides procedures to verify the effect of a change by comparing different variants of a product or its features with the original version. Usually, it works as a series of online experiments with final users as participants, i.e., people with rights and duties, which experimenters need to take care of. This research aims to provide a process for addressing ethical issues in CE to support experts in designing experiments while providing ethically acceptable decisions. This paper brings reflection on ethical issues in the existing related literature and discusses them in the context of CE. Link: https://youtu.be/t53y3DdcJ3M
On the relationship of repair actions and patterns on bug localization approaches: a comparative study

In the evolving field of automatic program repair, bug localization approaches play an important role, given their potential to significantly narrow down the search range for potential solutions. Given the diversity of bug locating approaches and their respective performance variations, this study aims to evaluate the bug localization accuracy, considering specific characteristics of the bugs, defined by actions and repair patterns observed in patches. Repair actions constitute changes made to the code to derive a suitable solution to a given problem. These actions can range from additions, deletions, and alterations in the source code lines. Repair patterns, on the other hand, are generalized representations of recurrent action structures in the fixed code. We evaluate the accuracy of each bug locator with respect to these actions and repair pattern to identify if there are any influence of specific actions and/or patterns in each type of locator.
Security Management Using Planning Domain Definition Language: A Case For Ransomware Mitigation

Network automation is essential for efficiently managing complex networks, enhancing reliability, and reducing human errors. This work proposes a novel approach to automate security planning and management using the Planning Domain Definition Language (PDDL). PDDL is used to generate an action plan to mitigate imminent threats to companies’ networks. The work demonstrates how PDDL can be applied to security planning in a dedicated scenario where there is a need to mitigate a ransomware attack targeting a company.
Database security intrusion behavior identification method based on mapping deep learning

In order to solve the problem of database security intrusion identification and rationally plan the query path of database index, a method of database security intrusion identification based on mapping deep learning is proposed. A database security intrusion identification framework is constructed. Authorized users are grouped and calibrated according to the security level. The weights of plaintext keywords are obtained by mapping deep learning algorithm, and the keys of ciphertext are obtained. The encrypted results are uploaded to the main server, and the index of ciphertext is obtained by mapping deep learning algorithm, so as to realize database security intrusion identification. The experimental results show that the proposed method is more real-time for encrypting and decrypting a large number of data in the database, and the maximum recognition rate is 95%, which shows that the proposed method has good recognition effect.
Promises and premises: Emoji in youth mental health and emotional well-being

Communication is fundamental for preventing and managing youth mental health, and for effectively maintaining and improving their emotional wellbeing. Nevertheless, crucial challenges to communication in this context remain. In recent years rapid technological change has produced increasingly complex forms of communication, which hold out great promise in this area. Emoji have the potential to play a key role in the communication of mental health-related information in areas such as: self-disclosure, engagement, treatment intervention, and mental health education. However, compared with their roles in other fields (e.g., computer science, communication, marketing), emoji in the mental health domain have been largely overlooked by both communication scholars and health care professionals alike. Building on their cognitive, emotional and interpersonal aspects, this paper outlines potential applications for emoji in the field of youth mental health, while also pointing out challenges to their use. It then offers recommendations for mental health organizations, public health organizations, social media platforms, high-tech companies, and the Emoji Unicode Consortium..
Rethinking The Proteus Effect – Can our digital personas influence our offline selves?

This paper seeks to clarify the notable phenomena known as the Proteus effect. This phenomena clarifies the ability of avatar characteristics within digital gaming environments to have a noticeable impact on people’s actions in the real world. The research question that informs the conceptual framework put forward in this academic discourse is the following: if the Proteus effect is clearly perceptible among members of online gaming communities, might it not possibly also apply to users of social networking platforms? The study will use an example from the science fiction anthology series “Black Mirror” to explain and support this theoretical claim. It is hypothesised that once people create a social media presence, they start creating a digital identity or “avatar”, the development of which has the potential to have a substantial impact on their behaviour in real life. The Proteus effect’s plausible expansion outside of the online gaming industry, where it was first documented, is the main hypothesis that this paper seeks to clarify through the use of a hypothetical scenario taken from modern cinematic narratives. This article’s hypothesis imagines a future in which people eventually become like their digital avatars, leading to a time when real people resemble their virtual counterparts.
Income Inequality, Finance, and Space: A Cross-Country Analysis

To extend the controversial literature on the finance-inequality nexus, we examine the determinants of income inequality in 131 developed and developing economies, in the period 1991–2017. We consider a wide range of variables associated with domestic financial development, banking crises, and financial globalization, including financial secrecy and offshore wealth. In addition, we examine whether the spatial centralization of the financial sector is associated in any way with income inequality. The results show that the larger the size of the financial sector in a country, the higher the level of inequality. Financial globalization, in all its facets, also appears to contribute to inequality. These findings are particularly robust for developed economies. Our analysis also shows that aspects of finance aggravating inequality are positively associated with the degree of geographical centralization of the financial sector.
Exploring SMEs innovation paths with augmented and virtual reality technologies

Purpose Augmented reality (AR) and virtual reality (VR) are increasingly recognized among technologies potentially driving the digital innovation of small and medium-sized enterprises (SMEs). Nevertheless, the implications of AR/VR adoption in innovation processes have yet to receive much attention to date, with the need to explore the issues facilitating a systematic implementation in the SME context. This study aims to investigate the possible innovation paths of SMEs as a result of AR/VR adoption. Design/methodology/approach The authors performed a multiple case study research involving six Italian SMEs in manufacturing and service sectors that are investing in AR and/or VR solutions and are digitally innovating thanks to these technologies. Findings AR/VR solutions lead to different types of innovation in SMEs, i.e. for innovating product or service offerings, business processes or even the business model, when AR/VR extends to the company business logic. SMEs demonstrate being able to leverage internal sources with the essential commitment of top management and low resistance of employees in all kinds of AR/VR-enabled innovations. Conversely, they involve different external innovation sources according to the type of innovation pursued. Organizational issues emerged as more relevant than technological issues. Practical implications Results contribute to the literature on digital transformation of SMEs and provide managerial guidance on innovation sources and organizational issues to be considered to effectively deploy AR/VR solutions into specific innovation paths. Originality/value This study explores the impact of emergent technologies in the innovation process along with multiple perspectives, degree of complexity, and strategic importance in the SME context.
Designing a framework for blockchain-based e-voting system for Libya

A transition to democratic rule is considered the first step down a long road towards Libya’s recovery and prosperity. Thus, it strives to improve the country’s elections by introducing new technologies. A blockchain is a distributed ledger that is characterised by independence and security. Therefore, it has been widely applied in various fields ranging from credit encryption and digital currency. With the development of internet technology, electronic voting (E-voting) systems have been greatly popularised. However, they suffer from various security threats, which create a sense of distrust among existing systems. Integrating blockchain with online elections is a promising trend, which could lead to make an election transparent, immutable, reliable, and more secure. In this paper, we present a literature review and a case analysis of blockchain technology. Moreover, a framework for an E-voting system based on blockchain is proposed. The methodology is adopted on the basis of three activities, they are identification of the relevant literature about E-voting, system modelling, and the determination of suitable technological tools. The framework is secure and reliable. Thus, it could help increase the number of voters and ensure a high level of participation, as well as facilitate free and fair electoral processes
Designing for the energy transition from INtuition to INtention

The contemporary need for an energy transition simultaneously poses a challenge, an opportunity and an urgency. We are facing a polycrisis (Tooze, 2021) due to the international geopolitical context, the need for energy independence, increasingly widespread energy poverty, and the climate crisis. From a perspective of sustainability, the essay explores various design-oriented approaches, inviting a shift in traditional (primarily technical) focus from individual products to more systemic designs (with significantly greater social, behavioural, and economic impacts). The analysis thus ranges from the now entrenched idea of the energy community to more experimental cases that revolutionise the way energy can be consumed simply by doing more with less.
EFFECT OF FOREIGN DIRECT INVESTMENT ON THE FINANCIAL PERFORMANCE OF THE RENEWABLE ENERGY SECTOR IN RWANDA

Over the past two decades, Rwanda's economy has experienced significant growth in infrastructure development and policy improvements. This growth has been accompanied by an increase in foreign investment, with companies expanding their operations in the country. Foreign Direct Investment (FDI) is a critical area of interest for many developing countries, as it brings economic benefits to the host nation. In emerging economies, such as Rwanda, the renewable energy sector has played a critical role in driving economic growth. Despite the global property market experiencing a bubble, the renewable energy market has remained strong, with demand for middle to high-income housing remaining steady. This study focused on the effect of FDI on the financial performance of the energy sector in Rwanda, with MOBISOL Rwanda Ltd as the case study. The study examined how corporate governance elements, trade openness, market size, return on investment, exchange rate, and inflation affect the financial performance of the energy sector in Rwanda. The study utilized a descriptive research design to investigate the financial performance of the energy sector in Rwanda, with MOBISOL Rwanda Ltd as the case study. The target population consisted of 112 employees of MOBISOL, which has significant foreign ownership in Rwanda. The sample size was determined using stratified random sampling, and 88 respondents were selected for the study. Descriptive statistics were used to analyze the data, with the arithmetic mean and standard deviation used to analyze descriptive data. Additionally, inferential statistics were utilized to find correlations among the explanatory variables. Pearson's product moment correlation and stepwise regression were used to examine the relationship among variables. F-tests were used to test the hypotheses in the study. To ensure the validity of the statistical analysis, tests of statistical assumptions were conducted prior to data analysis. The study used SPSS Statistics Version 21.0 software to facilitate data analysis. Descriptive statistics such as frequencies, percentages, means, and standard deviations were used to analyze the data, while inferential statistics were conducted using Spearman rank correlation coefficient and multiple regression. The findings of the study were presented in tables, providing clear insights into the relationship between variables. Key words: Market size, financial Performance, Renewable energy, Rwanda CITATION : Mbarushimana, S., &amp; Mulyungi, P. (2023). Effect of foreign direct investment on the financial performance of the renewable energy sector in Rwanda. The Strategic Journal of Business &amp; Change Management, 10 (4), 310 – 325. http://dx.doi.org/10.61426/sjbcm.v10i4.2752.
SELECTED MACRO-ECONOMIC VARIABLES AND FINANCIAL PERFORMANCE OF COMMERCIAL BANKS IN SOUTH SUDAN

The intermediation provided by banks depends on the efficiency of the bank. Commercial banks in South Sudan have continued to experience poor performance. This has been a significant source of concern for the South Sudan’s financial sector over the years. Studies on financial performance and macroeconomic factors have largely not been based on South Sudan Banks. The general objective of the study was to establish the effect of selected macro-economic variables on financial performance of commercial banks in South Sudan. The study adopted explanatory research design. A census of 29 commercial banks listed in South Sudan that were in operation from 2012 to 2020 was targeted. The audited financial statements of the listed commercial banks served as the source of secondary panel data. Data collection was by use of a document review guide. Data analysis for the study was by use of regression model and correlation. The study was based on Vector autoregressive (VAR) model to assess relationship between macro-economic variables and financial performance of commercial banks. From the findings of the study, it was established that interest rate has no significant effect on financial performance of commercial banks in South Sudan; Gross Domestic Product has no significant effect on financial performance of commercial banks in South Sudan; inflation rate has no significant effect on financial performance of commercial banks in South Sudan and exchange rate has no significant effect on financial performance of commercial banks in South Sudan. Macroeconomic variables such as interest rate Gross domestic product, inflation rate and exchange rate. The study suggested that commercial banks' management committees continuously monitor inflation rates in order for them to adjust their loan products and services in line with the inflation rate; commercial banks should design dynamic interest rate policies that would lead to growth by attracting many customers; and commercial banks should ensure that the business environment is favorable in order to encourage investment in them since they have the ability to offer a variety of financial services. Key Words: Consumer Price Index, Exchange Rate, Financial Performance, Gross Domestic Product, Inflation, Interest Rate and Macro-Economic Variables. CITATION : Adhuong, N., Y., &amp; Makori, D. M. (2023). Selected macro-economic variables and financial performance of commercial banks in South Sudan. The Strategic Journal of Business &amp; Change Management, 10 (4), 515 – 534. http://dx.doi.org/10.61426/sjbcm.v10i4.2769.
Quest for the General Effect Size of Finance on Growth: A Large Meta-Analysis of Worldwide Studies

We analyze diverse and heterogenous literature to grasp the general effect size of financial development on economic growth on a world scale. For that, we perform by far the largest available meta-analysis of the finance–growth nexus using 3561 estimates collected from 177 studies. Our meta-synthesis results show that large heterogeneity in empirical evidence is, in fact, driven by only a limited number of variables (moderators). By using advanced techniques, we also document the existence of the publication selection bias that is propagated in the literature in a nonlinear fashion. We account for uncertainty in moderator selection by employing model-averaging techniques. After adjusting for the publication bias, the results of our meta-regression provide evidence of a small but genuine positive effect of the financial development on growth that very mildly declines over time. Finance channeled via capital markets seems to be more beneficial for economic growth than that provided in the form of private credit. Our evidence goes against arguments about the damaging role of financial development and is in line with century-old theoretical foundations that favor the positive role of finance on economic growth.
Agile adoption challenges in insurance: a systematic literature and expert review

The drawback of agile is struggled to function in large businesses like banks, insurance companies, and government agencies, which are frequently associated with cumbersome processes. Traditional software development techniques were cumbersome and pay more attention to standardization and industry, this leads to high costs and prolonged costs. The insurance company does not embrace change and agility may find themselves distracted and lose customers to agile competitors who are more relevant and customer-centric. Thus, to investigate the challenges and to recognize the prospect of agile adoption in insurance industry, a systematic literature review (SLR) in this study was organized and validated by expert review from professional with expertise in agile. The project performance domain from project management body of knowledge (PMBOK) was applied to align the challenges and the solution. Academicians and practitioners can acquire the perception and knowledge in having exceeded understanding about the challenge and solution of agile adoption from the results.
Optimizing Sequential Forward Selection on Classification using Genetic Algorithm

Regarding the digital transformation of modern technologies, the amount of data increases significantly resulting in novel knowledge discovery techniques in Data Analytic and Data Mining. These data usually consist of noises or non-informative features which affect the analysis results. The features-eliminating approaches have been studied extensively in the past few decades name feature selection. It is a significant preprocessing step of the mining process, which selects only the informative features from the original feature set. These selected features improve the learning model efficiency. This study proposes a forward sequential feature selection method called Forward Selection with Genetic Algorithm (FS-GA). FS-GA consists of three major steps. First, it creates the preliminarily selected subsets. Second, it provides an improvement on the previous subsets. Third, it optimizes the selected subset using the genetic algorithm. Hence, it maximizes the classification accuracy during the feature addition. We performed experiments based on ten standard UCI datasets using three popular classification models including the Decision Tree, Naive Bayes, and K-Nearest Neighbour classifiers. The results are compared with the state-of-the-art methods. FS-GA has shown the best results against the other sequential forward selection methods for all the tested datasets with O(n 2 ) time complexity.
Investigating the rendering capability of embedded devices for graphical-user-interfaces in mobile machines

Abstract This paper focuses on the alignment of Graphical-User-Interface (GUI) applications and embedded devices. The main contribution is a benchmark approach that enables measuring and comparing the GUI rendering capability of embedded devices and provides a performance-oriented GUI design recommendation for an embedded device. The benchmark is tailored to common GUI applications and resource-limited devices, which are usually mounted in mobile machines. GUI applications can only be rendered smoothly if these devices have sufficient performance. A general benchmark concept is described and modeled in Unified Modeling Language (UML) at first, followed by a prototypical implementation and evaluation. It is demonstrated that the benchmark approach is applicable to GUI applications with different levels of complexity as well as embedded devices of different performance classes.
Study of “half-integer” harmonics in recorder tones and some speculations about their origin

The musical notes produced by recorders and other flue instruments consist primarily of spectral components with frequencies given approximately by nf1, where n is an integer and f1 is the fundamental frequency. However, the real tones of these instruments contain other spectral components that have been observed and discussed by a number of authors. We report a study of spectral components in the tones produced by recorders that are odd half-integer multiples of f1, i.e., spectral components with frequencies n±12f1. Our results, obtained through a combination of experimental and simulation studies of soprano recorders, suggest that these components are associated with the air flow in the vicinity of the window region and the labium edge. We also show that these half-harmonics can be suppressed by modifications of the instrument that alter the pattern of air flow in those regions. Speculations concerning the importance of the half-harmonics and the degree to which they are perceptible by a listener are briefly discussed.