The process of software development is complex and requires thorough quality control measures to ensure that software products adhere to the required standards. The primary goal of this study was to investigate the correlation between the complexity of a software code-base and the efficiency of software code reviews and inspections. The study used a hybrid approach, utilizing automated static code analysis tools and manual code reviews to detect potential code quality concerns. Additionally, we used cyclomatic complexity and other metrics to measure code complexity. Criteria were decided on to select technical personnel from industries for the purpose of conducting a code review and a feedback survey. Afterward, the responses obtained from the survey were used to determine the impact caused by the complexity of the code base on the efficiency of software code reviews and inspections.

To determine the complexity of software systems, software complexity measures are commonly utilized. However, their accuracy in forecasting software performance has been widely disputed. Accuracy of multiple software complexity measures in forecasting software performance are intended to be examined in this research study, employing numerous performance variables such as execution time, memory utilization, and scalability. Cyclomatic Complexity, Lines of Code, Halstead Complexity measures, and maintainability index are the most used methods to measure the complexity of software system. In this research result indicates how that different complexity matrices are vary in giving different software performance. Also examine what are the limitations of this different complexity matrixes.

Despite recent improvements, gender equality remains a global concern. Technology has helped women and girls gain equal access to education, economic empowerment, political representation, and social and cultural standards. Technology has promoted gender equality by providing girls with superior education. Girls can now learn and connect with teachers anywhere via internet platforms, e-learning, and digital libraries. This has improved school quality and access, giving women more job prospects. Technology has empowered women economically by providing equal employment options. The gig economy allows women to work from home, determine their hours, and have more work-life balance. Women are starting their own enterprises, especially in e-commerce, where they may reach global clientele. Social internet allows women to speak out on political matters. This has increased women’s political representation, particularly in historically silent countries. Finally, technology has challenged societal and cultural standards like gender stereotypes that have prevented women from reaching their full potential. Technology empowers women to question gender conventions and expectations, changing society’s view of women. Technology offers opportunity but also challenges. For example, the gender digital divide limits women’s technology use. Cyberbullying and harassment affect women more than males online. In conclusion, technology can promote gender equality by giving women equal access to education, economic possibilities, political representation, and questioning social conventions. To make technology accessible to all women and girls, there are hurdles.

This study investigates the relationship between software maintenance practices and software quality as well as the impact of maintenance budgets and schedules on software development. Corrective, adaptive, perfective, and preventive software maintenance are the four basic categories identified in the article, which also emphasizes the significance of efficient maintenance in raising software quality. The report also highlights the importance of good project management, ongoing testing, and documentation to guarantee that maintenance processes are conducted properly and quickly. According to the study’s conclusions, initiative-taking maintenance can save maintenance expenditures over time while also enhancing software quality. Reduced downtime, better software performance, and higher customer satisfaction are all benefits of effective maintenance, which may assist in finding and addressing problems before they grow into larger ones. The report also emphasizes the necessity for continual cooperation between development and maintenance teams as well as the difficulties in juggling maintenance expenses and schedules with software development time limits. In the end, the study emphasizes the significance of maintenance in guaranteeing software quality and the demand for continued investment in maintenance procedures to enhance software performance and reduce costs over time.

In this research, we investigate social media Web applications to find a solution for life-on-land sustainability development objectives. This research focuses mainly on the advantages of having a web application to inform What is Land ?, Why do we need to protect it? Human-wildlife conflicts, help to understand the impact of human activities and sell Eco-friendly products to users, all around the globe as a method to help protect life on land. According to research, combining social media with a web application makes it more helpful for users and simplifies the buying and selling processes for both buyers and sellers. These days, we struggle with environmental issues like deforestation, wildlife killing, and droughts. So, we anticipate that our web application will be more helpful in providing solutions to those issues. The system was created using the MERN stack and underwent practical and browser compatibility testing, both of which yielded favorable outcomes. Our system can answer questions about land pollution and offer users a detailed explanation in the form of a blog. Users can post their ideas as posts and certain users can join established environmental projects. Anyone has access to create projects. Through our web application, users can market their eco friendly products and users can purchase eco-friendly products.

Bilge and oily water (BOW) during vessel’s operation are the most large-tonnage type of waste and for their treatment all ships, in accordance with regulatory requirements [14], have to be equipped with special equipment – oily water separators. At sea vessel’s operating conditions three main directions of BOW cleaning are now used: physical, chemical and biological. The analysis of BOW separation methods based on these three directions has shown that it is very difficult to obtain secondary petrochemical products. In the article authors offer a new method for BOW separation which is based on the use of a hydrodynamic process of supercavitation with artificial ventilation of the cavitational cavern. With local origin in the flow of a supercavitating cavern, there will always be saturated water vapor inside of it. The process of permanent water vapor selection from the cavern will ultimately contribute to the production of highly concentrated mixture of secondary petroleum products from initial mixture of BOW. During the study of BOW separation process it was found that decreasing of the working pressure inside the working chamber of the cavitation separator have to be always compensated by an increase in the temperature of the processed multiphase flow.

Flowering phenology of alpine plant communities and seasonal dynamics of flower visitors have been scarcely studied in the tropical/subtropical alpine regions. We report flowering phenology, flower production, and flower-visiting insects in the alpine site of central Taiwan. Throughout the research period (2017–2018), we recorded flowering phenology of 130 plant species, flower production of 81 species, and 15,127 insects visiting alpine flowers. Most of the alpine plants were visited by dipteran insects and/or hymenopteran insects. The seasonal patterns of flowering were more apparent in bee-visited plants compared to fly-visited plants in which the flowering of bee-visited plants clearly increased as the season progressed. About 63% of flower visitors were dipteran insects (syrphid and non-syrphid flies), and 30% were hymenopteran insects (mostly bumble-bee workers). Although the seasonal trend in fly abundance was less clear between years, bumble-bee abundance consistently increased in the middle to late seasons, reflecting colony development. There was a positive correlation between bee abundance and the number of flowering species of bee-visited plants, but there was no correlation between fly abundance and the number of flowering species of fly-visited plants throughout the season. These results suggest that the flowering phenology of subtropical alpine communities is influenced by the seasonal availability of pollinators. Bumble bees, syrphid flies, and non-syrphid flies had wide ranges of foraging flowers, but their niche overlap was relatively small. Because cold-adapted bumble bees are threatened by climate change in Taiwan, plant–pollinator interactions may be disturbed by global warming.

In the industry of software engineering regression testing plays a crucial yet essential role as it is done to ensure that an update or a change does not impact existing functionality and that the changes won’t corrupt the user requirements. When it comes to regression testing total number of test cases required to moderately test a software system can be very large, and it is a disadvantage/challenge that Quality Assurance Engineers/testers face as it could be time-consuming and have to engage a vast number of resources. Since humans started to engage in the software industry it was crystal clear that they always cleverly came up with excellent solutions to overcome the challenges they faced. Developing test case prioritization techniques was the magnificent solution they hammered out to prevail over the challenge. In that way, they could optimize testing resources and detect faults easily. This research paper dispenses an assessment of various test case prioritization techniques in the context of regression testing. This paper collates and contrasts those techniques according to the criteria such as precision of fault detection, time consume for testing, and the cost initialized for each technique. Through our research findings and the suggestion, we provide in the paper, IT professionals who are engaged in the regression process will get a consequential impact on us as they could improve effectiveness and efficiency and also save man-hours resources while enhancing the quality and reliability of the product. As the research paper provides valuable insights on regression testing this is “shouldn’t miss” research for everyone who interacts with testing. The work is valuable for other concerned readers as well.

Erchen Decoction(ECD) has been clinically verified to be effective for treating metabolic syndrome(MetS) induced by second-generation antipsychotics(SGAs). Network pharmacology analysis results exhibited that 129 active components and 221 potential targets of ECD, 1027 targets related to MetS, and 361 targets of clozapine and olanzapine were gained after screening. Then, 79 intersection targets of ECD and MetS were obtained by Venn analysis to construct a PPI network. However, it could not explain the potential target and mechanism of ECD to improve the metabolic disorder caused by SGAs. GO function and KEGG pathway analyses were performed on 23 common targets of ECD, clozapine, olanzapine, and metabolic syndrome, and visualization networks were constructed. The results revealed the potential signaling pathway of ECD for treating drug-induced MetS, especially the AMPK signaling pathway. The visualization network reflects that ADRA1A, AHR, NR3C1, and SLC6A4 may be the core targets. Ultimately, molecular docking results displayed that active components of ECD naringenin, baicalein, and quercetin had a good binding activity with NR3C1 and SLC6A4 targets.

In this project “Life below water,” going to develop a web application to track endangered species living around the Sri Lankan Ocean. Hope to collect information on endangered marine species with the help of fishermen fishing in the deep sea. After collecting the details, we hope to create a web application to track these kinds of species after successfully developing our web application, hope to give it to the required authorities like the Sri Lanka tourism board/fishing cooperation and finally to the other countries who are interested in this.

More than 40% of teens in Sri Lanka suffer from mental health issues, Everyone deserves to have good mental health care, but sadly, due to various reasons, mental health is a sector which is often neglected; this is exactly what we are trying to tackle with web-based mental health support system. UNICEF has issued mental health as one of the key areas that need attention. This website aims to support patients in need, under privileged/ poor people will have a chance to gain mental health advice/prescriptions from an army of voluntary doctors via website. Sri Lankans still consider mental issues taboo, so this website will allow people to get treatments discreetly. This research includes findings from consultations with a number of mental health specialists and proposed solutions to identified problems. The aim is to increase the standard of mental health and reduce stress for the people using the site. The website is designed to stimulate the brain’s reward sectors through visual and acoustic media. The final goal is to see Sri Lanka increase its mental health standard and reduce the number of individuals suffering from mental issues.

In the modern world, everyone prefers speedy interactions with intricate mechanisms that guarantee a prompt response. Response time and ease of use are therefore problems as technology continues to advance. Here is where human-computer interaction comes into play. With the aid of OpenCV and Python, we attempt to use hand gestures to control our media player in this project. In linguistics, hand gestures are a crucial part of body languages. The use of the hand as a device makes it simple to interface with humans and computers. The importance of gesture recognition has grown significantly. Different apps, such as Windows Media Player, robot control, gaming, etc., are controlled by hand gestures. Interaction is simple, practical, and requires no additional equipment when gestures are used.

A document by Amira Alghamdi. Click on the document to view its contents.

Businesses have increasingly prioritised the introduction of ground-breaking new products in recent years as a means of differentiating themselves from the competition. As a result, several businesses have begun adopting agile project management practises rather than traditional waterfall methods. Iterative, or “agile,” project management has emerged, was spurred by the need for a more adaptable approach to product creation that would allow businesses to more quickly and easily provide creative goods that would both delight their consumers and generate a profit. As a result, agile project management was developed as an alternate to conventional methods, which frequently entail rigid procedures that must be modified whenever a new requirement arises. The author examines the link between agile project management and new product development in this work. The paper’s case study and findings show that innovation may be realised through the use of agile management, user participation in the development process, competent team members, effective management, and cutting-edge tools. Many recommendations were made, all of which may be followed by businesses in order to be creative and to attain high levels of customer happiness. This was done in order to support the agile principles.

A document by Sedef Çakır Ayçiçek. Click on the document to view its contents.

Scarcity refers to a state in which an individual’s resources do not satisfy his/her needs. A sense of scarcity evokes negative emotions. A fundamental strategy for coping with this negative threat is for people to emphasize the desirability of their personal traits. In this study, two behavioral experiments were conducted to examine whether and how a sense of scarcity affects one’s self-evaluation. Participants were assigned randomly to the high or low scarcity group. Financial status (experiment 1) and the amount of assistance rendered to an individual during a riddle guessing task (experiment 2) were manipulated to induce a high or low sense of scarcity. Then, the participants were asked to make trait judgments of themselves compared with their average peers. The results showed that people with a high sense of scarcity judged their personality to be more desirable than those with low sense of scarcity. The results of this study suggest that a sense of scarcity enhances an individual’s above-average effect in social comparison.

As one of the leading causes of non-natural death, suicide involves both emotional and economic costs to society. In this paper, we aim to analyze the economic determinants of suicide. More specifically, we explore the impact of income inequality on suicide. For that purpose, we estimate linear panel data models for a set of 21 Eastern European countries over the period 1991-2014. We find a positive relationship between income inequality and suicide for males as an increase in inequality was found to increase suicide. For females, income inequality has no effect. We also found that the effect of GDP per capita on suicide rates is negative and statistically significant across all models. The direction of this effect is consistent with previous international panel data studies and the economic theory of suicide. Taken together, our results are in line with previous literature investigating the economic determinants of suicide. The paper contributes to a burgeoning trend in the literature examining what drives people to commit suicide.

A graphical and speculative rendition of a powerful virtual environment, the Metaverse asserts that it is a trustworthy setting where people can work, play, shop, and socialise. The potential for leveraging the Metaverse for growth and revenue generation is significant. The aim of this perspective article is to highlight and introduce: metaverse revenue streams; a Web 3.0 base for economic interoperability; an embodied virtual reality experience; and a platform for innovative experiences. Additionally, it will deal with correcting current and foreseeable security vulnerabilities in the metaverse and, ideally, generate revenue doing so. We explore a wide range of examples and suggest how these initiatives might be implemented properly in order to be competitively successful in this rapidly evolving environment. Child limitations, women’s safety, and introducing the metaverse to older citizens are a few of the topics discussed in detail. Finally, we provide an overview of the unfolding of possibilities and point out methods that have not traditionally been explored.

In South Korea, anti-feminism is now rapidly spreading through the Internet among young men, and they started to identify themselves as a social minority or “victims” of female power. Despite their ramification to present South Korea, theoretically discussing, they are indistinct from the racism and sexism of White men that emerged at least a half-century ago. In this view, they share the same root of typical modern racism or sexism, although they look novel in phenomena. Such a hypothesis was buttressed by quantifying their attitudes towards various outgroups based on the transference of prejudice theory. Moreover, the subtle sexist undertones hidden in their arguments were discussed by various psychological theories and empirical data/statistics. Additionally, various potential factors that may shape or accelerate their attitudes or behaviors were discussed on the basis of the threat-defense theory (Jonas et al., 2014). Through comprehensive literature review based on this theory, I propose the features related to Korean anti-feminism encompassing behavioral/situational (overindulging violent or degrading Internet contents, verbal aggression), relational/epistemic (ostracism, attachment insecurity, pseudo-rationalism), and group-level (provocative interactions, polarization) attributes, some of which may also influence other groups than young men and ingrain or exacerbate extreme ideologies of other groups, including young women. Scrutinizing Korean online anti-feminism and male-victim ideology will help in understanding the psychological origins of various social extremities or radical ideologies beyond cultural barriers.

In the present study a simple HPLC method was developed and validated for simultaneous determination of metformin and glibenclamide in newly designed orodispersible tablets. The separation was attained on ODS C18 column using a mixture of methanol and acetonitrile (70:30 % v/v) as mobile phase at pH of 3.5 ± 0.05. The retention times recorded for metformin and glibenclamide were 1.697 and 3.027 min, respectively at a flow rate of 1.0 mL min-1 and detection wavelength of 232 nm. The linearity was observed for the concentration range of 0.025-0.5 µg mL-1 with r = 0.996 for metformin and 0.025-0.2 µg mL-1 with r = 0.995 for glibenclamide. The limits of detection and quantification were 25 ng mL-1 and 75 ng mL-1 for metformin and 20 ng mL-1 and 60 ng mL-1 for glibenclamide, respectively. The drug recovery was 99.21 ± 0.78 for metformin and 98.95 ± 0.44 for glibenclamide. Validations studies revealed that method was accurate, precise, robust, specific and sensitive. The method was successfully applied for the pharmacokinetic study of both drugs after single dose oral administration of newly designed orodispersible tablets. Various pharmacokinetic parameters, like Tmax, Cmax, AUC0-t, AUC0-∞, t1/2, and clearance were calculated by linear trapezoidal method.

Access control systems are important in regulating who can access physical facilities , computer systems, and data resources. However, traditional access control systems have limitations in adapting to changing user behavior and evolving security threats. We argue that applying machine learning is a promising direction to access control systems can enhance their accuracy, efficiency, and effectiveness. Machine learning can help identify and mitigate security risks in real-time by detecting patterns of suspicious activity that may indicate a security breach or attempted attack. It can also learn to identify anomalies and raise alerts, enabling security personnel to respond quickly and prevent potential security incidents.

This study presents a new type of adsorbent, Graphene oxide-Cu2SnS3-Polyaniline (GO-CTS-PANI) composite that was synthesised and used for the removal of mercury ions (Hg2+) from water sample. The adsorbent was characterised using various techniques including Fourier transform infrared spectrophotometry (FT-IR), Field Emission Scanning Electron Microscopy (FESEM), Energy-dispersive X-ray spectroscopy (EDX), Elemental Mapping analysis and X-ray diffraction analysis (XRD). The Box-Behnken method was used to optimise the key factors affecting the adsorption process, including pH, amount of adsorbent, and contact time with the application of Design Expert Version 7.0.0. Results showed the adsorption process was highly efficient at pH 6.5, 12 mg of GO-CTS-PANI adsorbent, and 30 minutes of contact time, achieving a maximum removal percentage of 95% for 50 mg/L Hg2+ ions. The study investigated the isotherm and kinetic of the adsorption process which showed the adsorption process occurred in sequential layers (Freundlich isotherm) and was continued by a physical interaction between the adsorbent and adsorbate. The pseudo second order kinetic equation is an appropriate model to interpret of kinetic data. The Response Surface Methodology (RSM) assessment indicated that pH was the most effective parameter for maximising the adsorption efficiency. The study also applied artificial intelligence methods such as Random Forest algorithm due to enhancement of adsorption process efficiency prediction and compare their performance to classical models. The findings show the Random Forest algorithm was highly accurate, achieving a correlation coefficient of 0.98. This study highlights the potential of GO-CTS-PANI composite for efficient removal of Hg2+ ions from water resources.

To unlock the full potential of PSCs, machine learning (ML) was implemented in this research to predict the best combination of mesoporous-titanium dioxide (mp-TiO2) and weight percentage (wt%) of phenyl-C61-butyric acid methyl ester (PCBM), along with the current density (Jsc), open-circuit voltage (Voc), fill factor (ff) and energy conversion efficiency (ECE). Then, the combination that yielded the highest predicted ECE was selected as a reference to fabricate PCBM-PSCs with nanopatterned TiO2 layer. Subsequently, the PCBM-PSCs with nanopatterned TiO2 layers were fabricated and characterized to further understand the dual effects of nanopatterning depth and wt% of PCBM on PSCs. Experimentally, the highest ECE of 17.336% is achieved at 127 nm nanopatterning depth and 0.10 wt% of PCBM, where the Jsc, Voc and ff are 22.877 mA/cm2, 0.963 V and 0.787, respectively. The measured Jsc, Voc, ff and ECE values show consistencies with the ML prediction. Hence, these findings not only revealed the potential of ML to be used as a preliminary investigation to navigate the research of PSCs, but also highlighted that nanopatterning depth has a significant impact on Jsc, and the incorporation of PCBM on perovskite layer influenced the Voc and ff, which further boosted the performance of PSCs.

In this work, the performances of a nonlinear dynamic industrial process are examined using gray-box (GB) models. To understand the dynamics of the system, the transient state is targeted. A white-box (WB) model, holds the prevailing knowledge using some assumptions. The performance of this model is limited. Artificial neural network (ANN) and support vector regression (SVR) which are techniques employed in numerous chemical engineering applications are employed to construct the associated black-box (BB) models. GA is used to optimize the SVR parameters. Dimensional and range extrapolations of different manipulated inputs, feed concentration, feed temperature, and cooling temperature of GB model, and BB model are discussed. The different inputs extrapolation has different results because each input’s effectiveness in the system is different. The results are compared, and the best model is suggested among models ANN, SVR, FP-ANN serial structure, FP-ANN parallel structure, FP-SVR serial structure, and FP-SVR parallel structure.