Information on Domestic staff utilisation and household crimes

Hiring of domestic staff and its effect on households’ crime has been an issues of great concern in Nigeria. This study is sets to investigate the correlates between domestic staff utilisation and crimes such as kidnapping, stealing and rape. Blocked opportunity theory and structural functionalism theory were adopted. Cross-sectional survey design was used while data was generated view questionnaire. A total sample of 330 respondents were selected from households in Southern Senatorial District of Cross River State, Nigeria. Information retrieved were coded and subjected to statistical analysis. Outcome revealed a significant relationship between the hiring of domestic staff and household crimes (such as kidnapping, stealing and rape). It was recommended among others that house helps should be passably screened through proper employment procedures before they are employed as domestic staff.

Migration Pattern As Threshold Parameter In The Propagation of The Covid-19 Epidemic Using An Actor-Based Model for SI-Social Graph

Despite the benefits inherent with social interactions, the case of epidemics cum pandemic outbreaks especially the case of the novel corona virus (covid-19) alongside its set protocols employed to contain the spread therein - has continually left the world puzzled as the disease itself has come to stay. The nature of its rapid propagation on exposure alongside its migration spread pattern of this contagion (with retrospect of other epidemics) on daily basis, has also left experts rethinking the set protocols. Our study involved modelling the covid-19 contagion on a social graph, so as to ascertain if its propagation using migration pattern as a threshold parameter can be minimized via the employment of set protocols. We also employed a design that sought to block or minimize targeted spread of the contagion with the introduction of seedset node(s) using the susceptible-infect framework on a time-varying social graph. Study results showed that migration or mobility pattern has become an imperative factors that must be added when modelling the propagation of contagion or epidemics.

Attitudes of health workers and outpatients’ recovery in public hospitals in Calabar Metropolis, Nigeria: An Information Analysis

The study is an information analysis about the assessed awareness of the attitudes of health workers and outpatients’ recovery in public hospitals in Nigeria. Specifically, the study examined negligence and aggressive behaviour by health workers on outpatients’ recovery in public hospitals. The study was carried out in public hospitals in Calabar Metropolis, Nigeria. The cross-sectional design method was adopted to collect empirical data from outpatient in the hospitals for three months. The study adopted the purposive and volunteer sampling techniques in identifying 400 respondents for the study. Data collected were analysed using simple percentages and Chi-squared statistical tools. Results revealed that there is significant relationship between negligence by health workers and outpatients’ recovery (χ2 = 13.45 ≥ 7.815), health workers’ aggression significantly affect outpatients’ recovery (χ2 = 97.09 ≥ 7.815). Based on these findings, it was recommended among others that management of public hospitals should put on measures to curtail attitudes of negligence by staff towards patients, by installing closed-circuit television (CCTV) cameras specifically along service points. Management of public hospitals should impose stiff and stringent penalties on staff found to be aggressive towards patients.

Python for Automating Machine Learning Tasks

Machine learning is used in a variety of computational tasks where designing and programming explicit algorithms with good performance is not easy. Applications include email filtering, recognition of network intruders or malicious insiders working towards a data breach. In this article we will focus on basics of machine learning, tasks and problems and various machine learning algorithms. The article discusses the Python programming language as the best language for automating machine learning tasks.

Multi-Agent Bayesian Framework For Parametric Selection In The Detection And Diagnosis of Tuberculosis Contagion In Nigeria

Decision making has become quite a critical factor in our everyday living. The provision of data alongside its consequent processing has further sought to extend and expand our reasoning faculties as well as effectively aid proper decision making. But data is daily, produced at an exponential rapid rate and the volume in amount of data churned out to be processed even more so that we now require data storage optimization techniques to process such humongous volume of data. These have today, necessitated the need for advancement in data mining process. With the tremendous advances made in data mining, machine learning, storage virtualization and optimization – amongst other fields of computing – researchers now seek a new paradigm and platform called data science. This field today has become quite imperative as it seeks to provide beneficial support in constructing models and algorithms that can effectively assist domain experts and practitioners to make comprehensive and sound decisions regarding potential problematic cases. We focus on modeling social graph using implicit suggest algorithm in medical diagnosis to effectively respond to problematic cases of Tuberculosis (TB) in Nigeria. We introduce spectral clustering and Bayesian Network, construct algorithms cum models for predicting potential problematic cases in Tuberculosis as well as compare the algorithms based on data samples collected from an Epidemiology laboratory at the Federal Medical Center Asaba in Delta State of Nigeria. The volume of data was collated and divided into two data sets which are the training dataset and the investigation dataset. The model constructed by this study has shown a high predictive capability strength compared to other models presented on similar studies.

Retraction: How COVID-19 Brought Indian Wedding Industry to a Halt?

This paper was retracted by JINAV Journal on 03 February 2020. This paper was published in other journal (International Journal of Management and Humanities (IJMH), Volume 5 Issue 5, January 2021).

Information on the Impact National N-Power Scheme on Employment Creation

This study attempts to provide valuable data on the impact of the National N-Power scheme on youth employment in Bekwara Local Government Area of Cross River state. The ex post facto research design was adopted in collecting data from 398 samples from a population of 632 beneficiaries of the scheme using a self-structured questionnaire. The convenience sampling technique was used in selecting the samples from the study area. Data collected from the field was analyzed using inferential and descriptive statistics. The descriptive statistics include frequency distribution, charts, simple per centages, means and standard deviation. The result from the descriptive statistics was then subjected to parametric statistics at 0.05 confidence level. Out of the 398-instrument distributed, only 389 was returned and used for analysis. from the analysis, it was discovered that nearly all the respondents (96.92%) were unemployed before becoming beneficiaries of the N-Power Scheme. It was also discovered that out of all the programs registered under the scheme, only three programs had beneficiaries in Bekwara, these were N-Teach, N-Agro and N-Health. From the analysis carried out using lineal regression, it was discovered that there is a significant relationship between N-Power and Employment Creation. Based on these findings the study recommends amongst others that there is a need for an increase in the number of beneficiaries of the Scheme in the Local Government Area.

Information on the Prevalence and Extent of Alcohol Abuse Among Commercial Tricycle Operators in Calabar

This study examines the prevalence and extent of Alcohol abuse among commercial tricycle operators in Calabar, Cross River State, Nigeria. Adopting a descriptive quantitative research method, data was collected from 385 participants from 6424 registered tricycle operators in Calabar using a questionnaire. The participants were selected using the convenience and random sampling technique. Data collected from the field were subjected to descriptive statistics. Out of the 385 distributed instruments, 383 were returned and used for data analysis. From the analyzed data, the result revealed that all the participants, 100.00 per cent, have taken alcohol before. 81.46 per cent taken alcohol before while working, Majority of the tricycle drivers, 38.90 per cent believes that alcohol makes them have clearer vision when driving, 31.59 per cent argued that it makes them work longer, 10.97 per cent maintain that it is because they are used to alcohol. 12.27 per cent of the participants take alcohol at every opportunity they get, 18.02 per cent reported drinking every day. Result also revealed that all the tricycle riders have had accidents before, 77.81 per cent were under the influence of Alcohol when the accidents happened. Based on this result, the study concludes that there was a high prevalence of alcohol abuse among tricycle riders in Calabar. Hence there is a need for the enactment of proper laws that determines the legal limit of alcohol among drivers to checkmate the issue of driving under the influence and its attendant consequences.

Dietary Practices and Influencing Factors of Winneba SHS Students

The study examined the influence of dietary practices on the academic performance of boarding school adolescents. The sample consisted of 264 selected boarding school students from forms one, two and three, respectively. A multistage sampling procedure was adopted in the selection of respondents and structured questionnaire was the main instrument for data collection. The Cronbach’s alpha reliability of the instrument was 0.82. Data were quantitatively analysed using descriptive statistics and presented in the form of tables. The study revealed that consumption of unhealthy snack foods, skipping of meals especially breakfast and low intake of fruits and water were dietary practices which were influenced by several factors with hunger ranking highest. It was concluded that the students engage in poor dietary practices such as skipping of breakfast, and excessive snacking. Recommendations given included; educating the students on the importance of adopting positive dietary practices such as regular breakfast intake and moderate snacking in order to maintain general wellbeing, remain active in class and achieve higher test scores throughout their course period.

Awareness of National Health Insurance Scheme Activities and Service utilization Among Enrolled Employees in Government Institutions in Nigeria

The study examined awareness of National Health Insurance Scheme activities and service utilization among enrolled employees in government institutions in Nigeria. Adopting the survey research method, data was collected from 1200 samples employed in three federal Government Institutions in Calabar, Cross River State, Nigeria using a structured self-developed questionnaire. The samples were selected using the purposive and proportional sampling technique. Descriptive analysis was used to present result and linear regression was used to check the variable under study at 0.05 confidence level. The result from the descriptive analysis revealed that there was moderate knowledge (48 per cent) that there are drugs not on the NHIS drug list. Result also revealed minimal knowledge (30 per cent) that there is some treatment not on the NHIS treatment List. Regression analysis revealed a moderate correlation (30 per cent) between awareness of NHIS activities and service utilisation (F (1, 1112) = 16.472; p < .000). The study concludes that there is moderate knowledge about the activities of the NHIS and this affects service utilization and satisfaction. The study recommends among others that the operators of the National Health Insurance Scheme should include more drugs on the prescription list to address the health needs of participants. The scheme should be expanded to cover all medical cases of enrollees. The government and the agencies in charge of the health insurance scheme should carry out periodic assessments of clients’ satisfaction with the scheme so as to make future policy decisions for better service delivery