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Consequence of Financial Crisis on Liquidity and Profitability of Commercial Banks in India: An Empirical Study
Get PDFIn this paper we attempted to investigate impact of Financial Crisis on liquidity and profitability of public and private sector banks in India. Liquidity and profitability are two important parameters among many variables on which strength of banking systems depends. In order to accomplish this study, we have considered from year 2005 to 2018 and empirical evidences were drawn using descriptive statistics, correlation matrix and panel regression model. Mean ROA indicates low profitability for sample banks throughout the period of with substantial variations among banks. The result of correlation indicates that no two variables are highly correlated. ROA is negatively correlated with all the determinants except capital adequacy ratio (CAR) whereas; liquidity is positively correlated with all the determinants except efficiency and bank size. There is an insignificant positive impact of crisis on banks’ profitability and significant positive impact on liquidity. The positive association of liquidity with financial crisis indicating favorable and sound position of banks. The ownership structure indicates public banks are sound in maintaining their liquidity and private banks in earning capabilities during financial crisis
Transformational Leadership Effect on Organizational Performance in Ethiopia Public Sector: Systematic Literature Review
Get PDFThe knowledge on constructivism in the style of transformational leadership as it pertains to organizational performance was thoroughly reviewed to produce the current study. It studies the function of transforming leadership and investigates a number of problems that may arise in organizations under such circumstances. A systematic review and subsequent thematic content analysis of the literature, including findings from existing literature and research papers that have been published, is used to establish the theoretical underpinnings. They were thoroughly reviewed, and the best materials that matched them were then carefully picked out and included in order to achieve a conclusion. The outcome highlights the need for managers to use a transformational leadership style to put into practice cutting-edge tactics for employee empowerment so they can navigate the environment of rapid change and perform to their full potential. A conceptual qualitative framework based on PRISMA was constructed and advised for functionalism of personalized transformational leadership style to involve stakeholders in amicably avoiding recalcitrance. Forest Plot and Funnel Plot was used to check the combined effect size and publication bias. This strategy can assist transformational leadership managers in identifying opportunities during this crisis and assisting them in drawing important conclusions about how to address problems and foster a healthy culture. This paradigm can assist a transformational leader in managing stakeholders' expectations and benefit both academics and practitioners by working collaboratively to solve anticipated challenges. Limitations include bias risks such selective result reporting, inadequate blinding, attrition bias, and selection bias. Research novelty was a fresh idea that might provide new knowledge or add to the body of knowledge currently in existence
Diagnosing Chronic Kidney disease using Artificial Neural Network (ANN)
Get PDFThe prevalence of chronic kidney disease (CKD), brought on by environmental pollution and a lackof safeguards for people's health, is rising globally. A slow and steady decrease in kidney functionover many years is chronic kidney disease (CKD). A person may eventually get renal failure. Usingartificial neural networks in concert with the machine learning techniques (ANN), Keras, and GoogleColab Notebook for serial model construction, this study intends to propose a potent method foridentifying chronic kidney disease.This study looked into ANN's accuracy, sensitivity, and specificity in the diagnosis of CKD. Basedon the dataset's purpose, categorization of technology's effectiveness. In order to decrease the featuredimension and increase classification system accuracy, an algorithm model including ANN has beendeveloped.Results indicate that ANN architecture, which was used, achieved the best accuracy (98.56%),whereas other methods, such as SVM, Random-forest, and K-Nearest Neighbor (KNN), deliveredaccuracy levels that were lower than those of ANN
Common Fixed Point Theorems In Anti Fuzzy Metric Spaces
Get PDFThis article introduces the innovative concept of anti-fuzzy metric spaces and utilizes the property (E.A.) and Common limit range property of , we demonstrate the existence and uniqueness of a common fixed point in symmetric anti fuzzy metric spaces in this study. We discuss some novel ideas for a few mappings named R-weakly commuting of type and weakly commuting of type on an anti fuzzy metric space
Decomposable of positive map from M3(C) to M2(M2(C)): Block matrix positive partial transposition
No full textIn most literature, the decomposition of positive maps from M3 to M2 are discussed where the matrix elements are complex numbers. In this paper we construct a positive maps φ(µ,c1,c2) from M3(C) to M2(M2(C)). The Choi matrices for complete positivity and complete copositivity ares visualized as tensor matrix M3 ⊗M2 with M2(C) as the entry elements. The construction allow us describe decomposability on positive semidefinite matrices
Contrastive Analysis of Two English Translations of an Old Arabic Poem
Get PDFThe present study aimed to provide a contrastive analysis of two English translations of the famous Arabic poem known in English as “Let days do what they will” by Mohammad ibn Idris al-Shafi’i. The two English translations were produced by two different translation scholars in the language pair Arabic and English. The analysis focused on how the translators dealt with the most important features of poetry when translating the Arabic poem into English. Such features included form, meaning, sound and imagery. The findings revealed some similarities and differences in both translations with reference to the above-mentioned features. It is recommended that more research be conducted on either Arabic-English translation of poetry or English-Arabic translation of poetry as this kind of research seems to be relatively scarce.  
The COVID-19 Pandemic's effects on Saudi Arabia's pharmacy market
Get PDFThe COVID-19 pandemic's abrupt worldwide effect has prompted important considerations about how to stop the illness from spreading, such societal segregation. These actions have also had an effect on Saudi Arabia's pharmaceutical markets and economy. The purpose of the study is to determine how the COVID-19 outbreak has affected Saudi Arabian enterprises that manufacture drugs and medical equipment as well as people who work in the country's pharmacy industry. The data was gathered from a sample of 59 research participants using a cross-sectional study methodology. Due to the present pandemic conditions, the data collecting tool, a questionnaire, was sent through email and WhatsApp to employees in the Saudi pharmaceutical business. Following a review of the literature, a questionnaire was created to fit the circumstances in the area. Results: The Saudi medical device and pharmaceutical sectors were impacted by the COVID-19 epidemic, according to the primary study findings. However, it was believed that this effect would only last through 2020, and it was anticipated that the market will recover in the second half of the year. In conclusion, social isolation and travel restrictions have been the key strategies for minimizing the detrimental effects of the COVID-19 epidemic on Saudi Arabia's commercial and state pharmacy markets. It is advised that safety precautions be taken in all spheres of society, including all communities and social activities
Development of a Lightning Prediction Model Using Machine Learning Algorithm: Survey.
Get PDFThis research is aimed at preventing broadcast equipment from lightning damage. Inview of the location in which my broadcast outfit is located (located in a valley; some few meters above sea level in the Confluence of Lokoja Kogi State Nigeria). Several improvement of earthing and installation of lightning arresting facilities, there has not been significant change protecting broadcast equipment from lightning. The solution I proffered is to isolate all electrical connection from equipment. Lightning as a natural phenomenon is very unpredictive and destructive which can occur during transmission. How do we know the day and time distructive lightning will come? The answer is to develop a lightning prediction system that is accurate. When lightning lead time is known, personnel on duty will be alerted to isolate all broadcast equipment from the mains and central earth connection. Since the lightning prediction system has to be localized. Deployment of machine learning algorithm is most appropriate. The use of ten(10) years Weather Numerical Values(2012-2022) such as rainfall, atmospheric pressure, relative humidity, temperature and lightning records which are gotten from Nigeria Meteorological Agency (NIMET), Lokoja Area Office, Kogi State. This parametization are factors that are used to work on the lightning forecast system as lightning will occur at their certain threshold values. The model is intended to be deployed on web application. Prediction model can be localized to support Numerical Weather Prediction in any environment in Nigeria
A Comprehensive Analysis of Cybersecurity Threats based IoTs
Get PDFThe rapid growth of the Internet of Things (IoT) in our daily activities, has led to serious concerns regarding to potential cybersecurity threats. Therefore, there is a real need to have active and proactive solutions. This research undertakes an extensive analysis review of literature for the existing cybersecurity challenges and threats within various IoT devices. Also, it presents the suggested solutions as well as the structural frameworks. Moreover, it helps to detect and identify possible threats using different methods. Furthermore, it makes a contribution by drawing attention to research gaps within industrial and economic fields based IoTs. According to our findings, the main concern issues in IoT systems are cybercrimes and privacy cases. Artificial Intelligence, on the other hand, presents promising opportunities to improve cybersecurity. Nonetheless, certain attacks including authentication and confidentiality remain unaddressed when applying current solutions. This is, in fact, calling for more investigation and practical testing of suggested defences
Mathematical Analysis of COVID-19 model with Vaccination and Partial Immunity to Reinfection
Get PDFCOVID-19 is an infectious respiratory disease caused by a new virus, called SARS-CoV-2. Since itsinception, it has been a major cause of deaths and illnesses in the general population across the globe. Inthis paper, we have formulated and theoretically analyzed a non-linear deterministic model for COVID-19transmission dynamics by incorporating vaccination of the susceptible population. The system properties,such as the boundedness of solutions, the basic reproduction number R0, the local stability of disease-freeequilibrium(DFE), and endemic equilibrium (EE) points, are explored. Besides, the Lyapunov function isutilized to prove the global stability of both DFE and EE. The bifurcation analysis was carried out by utilizingthe center manifold theory. Then, the model is fitted with real COVID-19 cumulative data of infected casesin Kenya as from March 30, 2020, to March 30, 2022. Furthermore, sensitivity analysis was performed forthe proposed model to ascertain the relative significance of model parameters to COVID-19 transmissiondynamics. The simulations revealed that the spread of COVID-19 can be curtailed not only via vaccinationof susceptible populations but also increased administration of COVID-19 booster vaccine to the vaccinatedpersons and early detection and treatment of asymptomatic individuals