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Comparative Studies on the Effect of Boiling and Sprouting on Antioxidant Potential of Onion (Allium cepa) and Garlic (Allium sativum)
Get PDFThe sprouted bulbs of Allium plants have been considered to be a waste in many kitchens and these discarded bulbs may contain improved antioxidant potentials as a result of sprouting. The study aimed to investigate how sprouting and boiling affect the antioxidant properties of garlic (Allium sativum) and onions (Allium cepa).
Garlic and onion bulbs were either sprouted for 0–10 days or boiled for 0–8 minutes. The aqueous, methanol, and chloroform of the bulb extracts were then prepared, screened phytochemically, and their ability to scavenge 2, 2-diphenyl-1–picril–hydrazil (DPPH) radicals was employed to evaluate their antioxidant potentials using conventional techniques.
The results show that boiling reduced the samples' total phenol, flavonoid, and ascorbic concentrations significantly (p<0.05) regardless of the kind of solvent utilized. The sprouted methanol extract of onions (7.84 mg/g RE) at day 8 and sprouted methanol extract of garlic (20.16 mg/g RE) at day 10 showed a considerably (p<0.05) higher total flavonoid content. All extracts expressed higher phenolic content at day 8 of sprouting onion and there was a significant increase till day 10 of sprouting garlic. The DPPH Scavenging activity of sprouted garlic and onions has the minimum activity on the 8th day. However, the comparative measure of ascorbic acid content in sprouted garlic and onions increases but differs slightly, Garlic has its maximum ascorbic content at the 10th day (8.820mg/g), while Onions has its maximum ascorbic content at 6th day (6.29mg/g). Generally, the antioxidant potentials of boiled extracts of onion and garlic decreased significantly.
The study revealed that sprouting of onions and garlic could increase their antioxidant capacity while boiling reduces their antioxidant capacity in both samples
Secret key generation based Short Tandem Repeat DNA
Get PDFIn a daily basis, scientists seek to develop more advanced security solutions to be applied into IoT environment using in-hand technologies. Indeed, many approaches have been proposed to respond to this scarcity, and many other exertions have been spent. One promising consequence is DNA computing, which has significantly promising capabilities over traditional electronic computers. As biological characteristics have always been a source of inspiration for scientists in developing complex computing systems and technologies.DNA is a molecule in organism`s cells. All organisms' DNA are similar in about 99.9%. In this paper, a new data encryption technique has been inspired by DNA characteristics in which the encryption key transmission is based on STR DNA fingerprint. The proposed technique will be applied in a healthcare environment. The STR-DNA based key generation and transmission technique will be used to encrypt the message before being transmitted over the IoT environment. The experimental results showed that the proposed technique has similar characteristics as the RSA algorithm added the feature of applying the mechanism on biological environments
Gohar Fractional Effect on the Diatomic structure and Ro-vibrational Spectroscopy in the Molecular Kratzer Model
Get PDFSolving Schrödinger equation (SE) for the wavefunction and binding energy levels of the diatomic molecular system is essential for modeling its structure and analyzing its spectral properties, as the complete wave function inherently involves all the necessary information to analyze its physical properties, while the obtained energy levels reveal its spectroscopic characteristics. In this work, the Nikiforov-Uvarov (NU) analytical method is brought into the domain of Gohar fractional calculus (GFC). We use the Gohar fractional NU (GFNU) method to solve the fractional hyper-radial SE for the binding ro-vibrational energy spectra of some homo-nuclear and hetero-nuclear diatomic molecules (DMs) in the molecular Kratzer model for arbitrary values of the vibrational and rotational quantum numbers. Graphical analysis is used to explore the effect of the fractional parameter on the obtained diatomic energy levels and their corresponding normalized hyper-radial wave functions. Interestingly, the fractional parameter was found to have a significant effect on the diatomic structure and spectral properties. The graphical behavior of the Kratzer potential (KP) model and its modified version was analyzed for various DMs. It was observed that the characteristic features of both potential models were affected by the variation of the fractional parameter. We also investigated the dependence of the diatomic energies in both potentials on dimensionality, equilibrium inter-nuclear distance, reduced mass, and quantum numbers. This study provided entirely new results for the energy levels of HCL, LiH, ScH, H2, O2, and I2 DMs in the modified Kratzer potential (MKP) that had not been previously reported in the literature
A new generalized class of fractional operators with weight and respect to another function
Get PDFThis paper introduces and investigates the properties of a new generalized class of fractional differential and integral operators. Such newly class covers various definitions of fractional derivatives with singular and non-singular kernels, weighted fractional derivatives with respect to another function, as well as the new mixed fractional derivative in the sense of Caputo and Riemann-Liouville. Furthermore, the newly introduced class includes all existing forms of fractional integrals, weighted fractionalintegrals and also the weighted fractional integrals with respect to another function including Riemann-Liouville, Hadamard, Katugampola and Hattaf fractional integrals. Moreover, some fundamental properties of the new generalized class of fractional differential and integral operators are rigorously derived
Framing and the Social Construction of Violence in Select Online News Discourse on the 2023 General Elections in Nigeria
Get PDFViolence undermines the democratic character of elections, and the news discourse is a significant route through which such issue is socially constructed. This study investigates how the Vanguard and Arise News employed transitivity theory as an interpretive schema in framing the violence that marked the 2023 general elections in Nigeria to determine the impact of election violence on voters. Fourteen extracts (7 each from Vanguard and Arise News) as well as responses from 20 participants (5 each from the fields of Journalism, education, accounting and public relations) were purposively selected and analysed using mixed methods comprising descriptive content analysis and in-depth interviews. The findings unveil both news reports’ usage of material, verbal, and relational processes as frames to foreground shades of electoral violence such as the snatching of ballot boxes, disrupting of the voting process, intimidating of voters, disrupting of the collation of results, kidnapping of INEC officials, decimating of innocent citizens, vandalizing of polling units, assaulting of election observers, and carting away of electoral materials. Transitivity processes highlight power relations between groups as well as label certain groups positively and others negatively. The responses from the in-depth interview reveal that electoral violence have a detrimental influence on voters because it produces feelings of dissatisfaction, dread, and dejection in them thereby preventing them from wanting to vote in subsequent elections
Education Strategies for Promoting Academic Integrity in the Era of Artificial Intelligence and ChatGPT: Ethical Considerations, Challenges, Policies, and Future Directions
Get PDFWithin the changing landscape in education, the interjection of Artificial Intelligence (AI) and tools such as ChatGPT have also brought about pressing concerns over the safeguarding of academic integrity. This paper discusses the strategies that can be employed to foster an atmosphere of academic honesty within an age when AI capabilities are a threat to educational norms. While AI massively comes in handy to create content, there is a need to design new policies in academics against possible usage misapplications and ensure ethics in student practices. The review takes into account the challenges which educators are likely to face, trying to detect AI-generated work and undermining the critical thinking of minds. Moreover, it draws attention to the creation of firm educational frameworks in which students will learn AI literacy and the kernel of ethics for using such technologies. The paper calls for the instigation of comprehensive policies that deter academic dishonesty but at the same time inculcate a culture of integrity through transparency and accountability. It also points out future directions of research and policy development that need to be undertaken in this regard, including the fact that educational institutions, technology developers, and policymakers must collaborate in the creation of effective safeguards. In the light of increasing development in AI, it is urged that educational strategies will update in order to maintain academic standards and create an environment in which ethical considerations are integral to the process of learning
Excavation of Hushed Voices: A Spatio-temporal Imaginary Discourse on Socio-ethics in Kazuo Ishiguro’s The Remains of the Day
Get PDFThe concept of the ‘Great Chain of Being’, which influences the narrative style of the Renaissance Period of English Literature, depicts the hierarchical state of the old English Society. Suggestively, a society which is driven by class/status and its attendant structures of inequality, discrimination and oppression. Hence, literary narratives of this period revolve round the travails of Kings and nobles, while subjecting the common men to the background. Subsequently, the esoteric state of the society, which was usually captured from the third person point of view, helps to question the place of truth in these literary narratives, as they could be liken to glossary reports from spectators, devoid of participant’ direct contribution(s). Thus, this research deconstructs the old English style of narrative using Kazuo Ishiguro’s novel, The Remains of the Day because through this Asian-British narrative, there comes a direct feel of participant’s contribution, as he deconstructs the style of the old traditional English narratives in his novel. Consequently, with the application of the first-person point of view from a lower class in his novel, readers could grasp a different alternate perception and understanding of this society and individuals within the purview of socio-ethics, politics and development. In furtherance, this study gives a historicized spatial alternate or temporal reality of an Old English society system - a system anchored on classism, professionalism and superficial orderliness devoid of ‘social interactions’ and freedom, especially for the workmen or common men. Jacque Derrida’s deconstruction theory helps to critically explore the discourse, as data were collected through fictional, historical and analytical method based on qualitative critical approach. Ultimately, the research shows that binary oppositions can only complement each other rather than privileging one over the other, as perceptions, meanings and views are in fluidity
Artificial Intelligence-driven corporate finance: enhancing efficiency and decision-making through machine learning, natural language processing, and robotic process automation in corporate governance and sustainability
Get PDFThis research paper delves into the transformative possibilities of Artificial Intelligence (AI) within corporate finance, specifically focusing on its role in improving efficiency and decision-making processes. Through the utilization of machine learning, natural language processing (NLP), and robotic process automation (RPA), AI introduces innovative methods for enhancing corporate governance and sustainability practices. In the contemporary business landscape, corporations encounter mounting pressure to streamline operations while simultaneously addressing concerns regarding environmental, social, and governance (ESG) issues. Conventional finance methodologies often struggle to efficiently handle large volumes of data and extract actionable insights promptly. However, AI presents a shift in paradigm by enabling automated data analysis, recognizing patterns, and conducting predictive modeling, thus enabling finance professionals to make data-informed decisions swiftly and accurately. Machine learning algorithms play a pivotal role in detecting patterns and correlations within financial data, facilitating proactive risk management and strategic planning. Additionally, NLP technologies facilitate the extraction of valuable insights from unstructured data sources like regulatory filings, news articles, and social media, thereby enabling informed decision-making in corporate governance and sustainability endeavors. Moreover, RPA simplifies repetitive tasks and workflows, thereby reducing operational expenses and freeing up human resources for more strategic pursuits. Through the automation of routine processes such as data entry, reconciliation, and reporting, RPA enhances operational efficiency and ensures adherence to regulatory standards. Through the adoption of AI technologies, corporations can unlock novel avenues for innovation, optimize resource allocation, and promote sustainable growth within today's dynamic business milieu
Some Chebyshev type inequalities on time scales
Get PDFThe extension of classical inequalities into time scale aims to generalize these inequalities to make themapplicable to dynamic systems that exhibit both continuous and discrete characteristics. Time-scale calculusis becoming an unavoidable area as it is gaining ground in most areas of study. In this work, we presentedsome Chebyshev and other type inequalities on time scales by applying the Cauchy-Schwarz and ArithmeticGeometric Mean inequalit
New proof and variants of a referenced logarithmic-power integral
Get PDFThis article contributes to mathematical analysis by (i) presenting an elegant proof of a specific integral, (ii) demonstrating its connection with an existing result, and (iii) introducing previously unexploredvariants