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Gemini versus ChatGPT: applications, performance, architecture, capabilities, and implementation
Get PDFThis research paper presents an in-depth comparative examination of Gemini and ChatGPT, two prominent conversational AI models, exploring their respective applications, performance metrics, architectural variances, and overall capabilities. As conversational AI becomes increasingly prevalent across industries, comprehending the nuances of these models becomes pivotal for effective deployment. The paper initiates by outlining the wide array of applications for both Gemini and ChatGPT, spanning industries such as customer service, construction, finance, education, healthcare, and entertainment. It analyzes how each model addresses specific use cases, emphasizing their flexibility and potential impact across different sectors. Following this, the study assesses the performance of Gemini and ChatGPT through both empirical benchmarks and real-world deployment scenarios. Key metrics, including response coherence, accuracy, latency, and scalability, are scrutinized to gauge the models' ability to generate contextually appropriate and coherent responses in conversational contexts. Moreover, the paper elucidates the architectural distinctions between Gemini and ChatGPT, covering variances in training methodologies, model architectures, and underlying technologies. Understanding these architectural nuances provides deeper insights into the computational mechanisms underpinning each model's performance. Lastly, the paper explores the capabilities of Gemini and ChatGPT in handling complex linguistic phenomena, deciphering user intents, and sustaining engaging dialogues over prolonged interactions. This discussion encompasses language generation, sentiment analysis, context retention, and ethical considerations, shedding light on the potential of these models to facilitate meaningful human-computer interactions. Through this thorough comparative analysis, the research contributes to the ongoing conversation surrounding conversational AI systems. It offers valuable insights into the strengths and limitations of Gemini and ChatGPT, empowering stakeholders to make informed decisions regarding their optimal utilization across diverse applications
Fractional Optimal Control of Ransom Kidnapping Epidemic
Get PDFRecently, kidnapping-for-ransom has become a primary and lucrative source of funding sustaining theactivities of terror groups. Considering the menace as a social epidemic, this paper presents a fractionalorder mathematical model for the kidnap coinfection dynamics with recruitment and abduction occurring simultaneously. After establishing well-posedness for the positivity and boundedness, the model’s two feasible equilibria (kidnap-free and persistent) are globally asymptotically stable if the kidnap propagation parameter Rk is respectively, less or bigger than unity. To minimize the menace with minimum cost of security and implementation, optimal control strategies were formulated. It is found that anti-kidnapping efforts to witchhunt kidnappers (in their hideout) and rescue the abducted are found to be effective in addition to community vigilance
Linguistic Violence on Women: Representation of Women in Ritual Killing Discourse on Nigerian Social Media Spaces
Get PDFLanguage can be used to represent people in a humiliating and defaming way that violates their humanity. In the discourse of ritual killing on social media, Nigerian women are often blamed for their misfortunes of victimization through ritual killing and are further abused verbally. This study analyzes the representation of linguistic violence on women through evaluating the discourses on ritual killings on Nigerian social media space. It adopts Norman Fairclough’s model of critical discourse analysis and qualitative research design. After observing the social media platforms in Nigeria for a period of three months, from January-March, 2022, the researcher purposively collected twenty (20) data from Facebook and twelve (12) from Twitter, but sampled ten (10) textual data from Facebook and two (2) from Twitter. Findings indicated that women are blamed and defamed in the discursive representation of ritual killings in Nigeria. By implication, the perpetrators (mostly men) are excused and the patriarchal subjugation of women are sustained. Keywords: linguistic violence, critical discourse analysis, violence, ritual killing, social medi
Sustainability and Practices of Insurance Companies: Literature Review
Get PDFAbstract: The objective of this paper is to review the literature on the relationship between insurance companies practices and sustainable development, focusing on the Environmental, Social, and Governance (ESG) approach discussed in both developed and developing countries. Insurance companies encounter numerous opportunities and threats related to sustainability, with climate change and environmental pollution standing out as the most significant challenges impacting the insurance industry, particularly the life insurance sector. The paper concludes that insurance companies are prepared to offer sustainable insurance products in the future by committing to environmental and social standards. However, challenges exist regarding adherence to governance principles, particularly due to the predominance of small and medium-sized insurance companies. The current study also underscores the intimate connection between the insurance industry and sustainability factors. They mutually influence each other in an integrative relationship, necessitating the integration of ESG factors into the business strategies of insurance companies
The importance of quarantine: A bifurcation analysis and modeling of the transmission dynamics of Covid 19
Get PDFThe research aims to construct a mathematical model for COVID 19 that includes features six compartments to evaluate the positive effects of quarantine measures. The model categorizes individuals into thefollowing classes: susceptible, exposed, quarantined, asymptomatic cases, symptomatic cases, and recovered(SEQI1I2R). Several assumptions regarding positivity and boundness are identified to ensure that the solutionoriginated within a certain class and that the basic reproduction number is analyzed. Of course, the existenceof an endemic equilibrium is argued, which provides an understanding of the long-term persistence of thedisease. More precisely, to enhance our understanding of the model’s dynamics, we have analyzed both thelocal and global asymptotic stability of the disease-free equilibrium. Moreover, to assess the global stabilityof the system, we employ a Lyapunov function which provides a comprehensive mathematical evaluation. Atthe same time, our findings show evidence of a backward bifurcation which is recognized as a possible resultof the clinical transition from an asymptomatic state to symptom one
SMRD: A Novel Cyber Warfare Modeling Framework for Social Engineering, Malware, Ransomware, and Distributed Denial-of-Service Based on a System of Nonlinear Differential Equations
Get PDFCyber warfare has emerged as a critical aspect of modern conflict, as state and non-state actors increasingly leverage cyber capabilities to achieve strategic objectives. The rapidly evolving cyber threat landscape demands robust and adaptive approaches to protect against advanced cyberattacks and mitigate their impact on national security. Traditional cyber defense strategies often struggle to keep pace with the rapidly changing threat landscape, resulting in the need for more robust and adaptive approaches to protect against advanced cyberattacks. This paper presents a novel cyber warfare modeling framework, Social Engineering, Malware, Ransomware, and Distributed Denial-of-Service (SMRD), capturing the interactions and interdependencies between these core components. The SMRD framework offers insights for enhancing cyber defense, threat prediction, and proactive measures. A mathematical model consisting of a system of nonlinear differential equations is proposed to quantify the relationships and dynamics between the components
Artificial Intelligence in Education: A SWOT Analysis of ChatGPT and Its Impact on Academic Integrity and Research
Get PDFThis paper offers a full SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis of the ChatGPT system, an Artificial Intelligence (AI) language model, and its potential application in the sphere of education, especially in matters relating to academic integrity and scientific research. The discussion in this study is on how it may actually transform learning: providing personal tutoring, democratizing access, and serving academic writing. It highlights the details in which the model has achieved, with regard to writing human-like text that can be useful in most educational tasks: answering questions, explaining complex subject matter, and even writing essays. The paper shows critical weaknesses and challenges that currently exist in deploying ChatGPT fully into educational settings. These are issues concerning the propagation of bias in training data, its tendency to sometimes produce incorrect and misleading information, and undermining academic integrity by promoting plagiarism and eroding the need for students' critical thinking. In regard to ChatGPT integration within educational frameworks, an opportunity is the development of AI-enhanced curricula and tools that align with the ethical use practice while actively promoting digital literacy. On the other hand, keeping a close look on some of the threats, there are some that include: the erosion of traditional research methodologies and, of course, risks of students getting too dependent on the content generated by AI
Production of Conjugated Linoleic Acid from Safflower Oil as Precursor by Probiotic Cultures
Get PDFFour potentially probiotic strains of lactobacillus and Bifidobacterium were evaluated for their ability to produce conjugated linoleic acid (CLA) from safflower oil in vitro. All the four strains were found to be capable of converting linoleic acid to CLA when using lipolysed safflower oil as a precursor for free linoleic acid. Production of CLA by four probiotics bacterial strains increases in presence 0.6% lipolysed safflower oil as maximum level for 48 h at 37°C and Lb. plantartum has higher CLA content in MRS broth media than Lb. acidophilus, Lb. casei and B. lactis. Also, Supplementation with amounts higher than 0.6% lipolysed safflower oil reduced the CLA content. The research on the ability of converting CLA of probiotics cultures could be basis for the future research and development of fermented dairy products
Intersections of Motivation and Autonomous Learning Activities Among Moroccan EFL University Students
Get PDFThis study examines the correlations between types of motivation (intrinsic, extrinsic, and amotivation) and engagement in autonomous learning activities among Moroccan EFL university students. Conducted at Moulay Ismail University, the research surveyed 560 students using adapted versions of established motivational and autonomous learning questionnaires. Findings reveal a significant positive correlation between intrinsic motivation and the engagement in autonomous learning activities, suggesting that intrinsically motivated students are more likely to pursue activities that support language acquisition and independence. In contrast, extrinsic motivation was found to have a very weak negative correlation with autonomous learning, indicating its limited role in fostering learner autonomy. Amotivation showed a strong negative correlation with autonomous learning, underlining its adverse effect on students’ engagement and educational outcomes. The results emphasize the importance of enhancing intrinsic motivation and addressing amotivation to improve EFL learning experiences and outcomes
Dynamics of diverse nonlinear water waves to a fifth-order nonlinear soliton model
Get PDFThe objective of this study is to examine the dynamic behavior of the fifth-order nonlinear equation(FONLE) and its practical application in the field of applied mathematics. To achieve this, we first employ a traveling wave transformation technique to convert the FONLE equation into a nonlinear ordinary differential equation. Various exact soliton solutions of FONLE are then obtained using the G G2-expansion method and the exp(−ϕ(κ)) method. These soliton solutions can be utilized in numerous areas of mathematical physics and nonlinear sciences, including ocean engineering, optical fibers, plasma physics, applied mathematics, and fluid dynamics. The techniques used in this study are applied to this model for the first time