The use of machine learning to medical image classification has seen significant development and implementation in the last several years. Computers can learn to identify patterns, make predictions, and use data to inform their judgements; this capability is known as machine learning, a branch of Artificial intelligence (AI). Classifying images according to their contents allows us to do things like identify the type of sickness, organ, or tissue depicted. Medical picture classification and interpretation using machine learning algorithms has greatly improved (...) the speed and accuracy of diagnosis and treatment. Machine learning algorithms can aid radiologists and doctors in diagnosing patients using medical pictures from X-rays, positron emission tomography (PET), computed tomography (CT), magnetic resonance imaging (MRI), and other scans. (shrink)

Abstract: This study tries to establish the microfinance and financial inclusion nexus in Nigeria from 1981 to 2017. The Augmented Dickey-Fuller (ADF) test, co-integration test and Error Correction Model (ECM), as well as diagnostics and stability test were employed in the analysis. The research findings revealed that microfinance has positive significant effect on financial inclusion in Nigeria in the short–run and long–run. This finding is in line CBN objectives for the establishment of microfinance banks. The effect of lending interest rate (...) has a positive but has no significant with financial inclusion in the model one while it is statistically significant with poverty in Nigeria in the mode two. The positive lending interest rate has a statistically significant effect on the level of financial inclusion and national poverty index used as a proxy for poverty rate in the long run in the models. Also, the research also found that microfinance has really a tool to fight against poverty in Nigeria in the short-run, while it’s not really a tool to fight against poverty in the long-run in Nigeria. It was therefore recommended that Government agency and regulatory authority policies and practices need to play a key role in making micro-credit available to the economically-active poor people who are not being served by the formal financial sector. Also, apart from monitoring lending interest rates, the government needs to establish frameworks to prevent undercapitalization, fraudulent practices, and unwarranted interference from bank board members in Nigeria. (shrink)

This study aimed to assess the influence of peer relationships on the self-consciousness and social adaptation of school-aged children in the Enugu North Local Government Area of Enugu State. A descriptive cross-sectional survey design was used, with a population of 60,780 (29,968 males and 30,812 females). A multi-stage sampling method was employed to select 602 school-aged children from 58 schools in the Local Government Area, forming the sample for the study. For data collection, the study used questionnaires. Data were analyzed (...) with descriptive statistics and inferential statistics. The findings revealed that more than half of the respondents (62.6%) showed moderate social adaptation, particularly when they were with their families (mean score of 4.53±2.31). The majority (76.6%) had low peer relationships, while 80.6% had high self-consciousness. The mean scores for peer relationships, self-consciousness, and social adaptation differed between male and female respondents. Females had higher peer relationships and social adaptation. The mean score for peer relationships was higher among students in private schools compared to those in public schools. A moderate positive relationship was found between peer relationships and social adaptation at a significance level of p<0.05. It is recommended that governmental and non-governmental organizations organize programs to facilitate peer relationships and social adaptation among school-aged children. Furthermore, teachers and parents should be educated to provide support to children in these areas. (shrink)