366 research outputs found
The English Language Acquisition and Development (ELAD) Endorsement: An Opportunity for Preparing a Resilient Pre-service Teacher Workforce
DISPUTES RESOLUTION AMONGST RESIDENTS OF TENEMENT PROPERTIES IN LAGOS, NIGERIA
Low income earners in Lagos metropolis have peculiar taste for a type of residential property,
popularly referred to as face-me-I-face-you. The type of property usually consists of many units rooms flanking
a central passage. Tenants with different orientation and background cohabit, and conflicts frequently occur
amongst them. This paper examines the causes of conflicts that are common amongst tenants of tenement type
of residential accommodation in Lagos metropolis. In so doing, questionnaires coupled with direct observation
and interviews were administered on total of five hundred respondents randomly selected from five zones in the
study area. The study found a number of factors causing the conflicts and recommends creative problemsolving
strategies, amongst others, for managing such conflicts amongst occupiers of tenement houses in the
study area
Artificial neural network for Gaussian and non-Gaussian random fatigue loading analysis
There has been a lot of work done on the analysis of Gaussian loading analysis perhaps because its occurrence is more common than non-Gaussian loading problems. It is nevertheless known that non-Gaussian load occurs in many instances especially in various forms of transport, land, sea and space. Part of the challenge with non-Gaussian loading analysis is the increased number of variables that are needed to model the loading adequately. Artificial neural network approach provides a versatile means to develop models that may require many input variables in order to achieve applicable predictive generalisation capabilities. Artificial neural network has been shown to perform much better than existing frequency domain methods for random fatigue loading under stationary Gaussian load forms especially when mean stress effects are included. This paper presents an artificial neural network model with greater predictive capability than existing frequency domain methods for both Gaussian and non-Gaussian loading analysis. Both platykurtic and leptokurtic non-Gaussian loading cases were considered to demonstrate the scope of application. The model was also validated with available SAE experimental data, even though the skewness and kurtosis of the signal in this case were mild
A Case Study of Financial Literacy and Debt of Immigrants in Lloydminster, Canada
The high debt-to-income ratios and the low financial literacy levels among Canadian immigrants are hindering public welfare, macroeconomic policies, and economic growth. The purpose of this qualitative exploratory case study was to explore why immigrants to Lloydminster, Canada possess high debt-to-income ratios in their financial portfolios by examining pertinent themes and patterns between their debt profiles and their financial literacy levels. The life cycle hypothesis, rational choice theory, and bounded rationality theory grounded the study. Data collection from the purposeful sample included semistructured face-to-face interviews with 13 adult immigrants and a focus group discussion with 6 adult immigrants, all of whom lived, worked, or owned a business in the city of Lloydminster. The application of Yin\u27s 5-step data analytic procedure revealed key findings that described the pattern between immigrants\u27 debt profiles and their financial literacy levels including environmental curiosity, excellent credit score, family survival, rational decision making, social institutions, economic institutions, pressure impacting financial decisions, credit facility impacting financial decisions, emotions impacting financial decisions, and discount deals impacting financial decisions. Immigrants to Canada can utilize the findings from this study to develop their financial literacy levels and stay committed to making sensible financial decisions, thus triggering positive social change. Sound spending habits could have positive implications for Canada\u27s Gross Domestic Product growth and immigrants\u27 wellbeing
Do we have to go bananas? No! Not enough K.
This paper reports on the potassium content of five (5) varieties of Nigeria bananas. The potassium content was determined by flame spectrophotometer. We report that of the five varieties, none contained the recommended daily allowance (RDA) for potassium (4700 mg/day) and so potassium must be acquired from other sources to meet this daily allowance or one may have to eat about a thousand (1000) g of ba- nana a day to acquire the total RDA for potassium required per day
Impact of Property Assets’ Management Styles on Effective Service Delivery in South-Western Nigerian Hotels
A survey was conducted on probabilistically determined 57 hotels of various ‘stars’ in South-Western
geo-political zone of Nigeria with specific objective of assessing the impact of hotel assets management styles
on service delivery effectiveness. Data were collected on hotel organizations through their general managers,
staff, and customers in addition to physical assessment of hotel structures and system operations. Stratified
sampling technique was used in selecting the samples while Kothari’s formula was used to determine the sample
size. Data analysis was executed using descriptive statistics, Spearman Correlation analysis and relative
importance index. The findings showed that all the hotels that are using facilities management as assets’
management tool as against maintenance management or property management are more effective in their
service delivery. It was recommended that the time is ripe for facilities management principles’ propagation and
adoption among hotel operators as an instrument for sustainable hotel development in Nigeria
Assessment Of Features Of Support Services ln~ South -Western Nigerian Hotels
One of the major goals of facilities
management is effective delivery and
sustenance of support services to meet
organizational objectives. Where this
is lacking, goals are likely to be
truncated. This research therefore
aims at assessing support services
management in South- Western
Nigerian hotels. Data were collected
on 28 hotel organizations based on
stratified sampling technique and
Kothari's formula used to determine
the sample size. Data were analyzed
using descriptive statistics, - Karl
Pearson Simple Linear Correlation,
relative importance index and ChiSquare(/).
!twas found that the hotels are engrossed in in-house sourcing as
against outsourcing a major
instrumen t for accomplishing
facilities management. This was found
to be antithesis against growth and
high business peJformance. It was
recommended that time is ripe for
hotel operators to imbibe outsourcing
as an instrument of strategic change
and be customer oriented if they were
to make meaningful progress
Empirical Determination of Property Assets Management Styles in South-Western Nigeria Hotels
A survey was conducted on probabilistically determined 57 hotels of various ‘stars’ in South-Western
geo-political zone of Nigeria. The study investigates hotels’ property assets management styles with a view to
fashioning out appropriate management methodology and develop an integrated resource management
framework. Data were collected from hotel organizations’ management, general managers, staff and customers.
Information obtained was complemented by the physical assessment of hotel structures and system operations.
Stratified sampling technique backed by cluster sampling was used. Descriptive statistics was employed for
statistical analysis. Findings showed that maintenance management predominates in the industry while facilities
management is just filtering in with emphasis on facilities benchmarking. Property management is not favoured
at all. The study recommends that Nigeria Tourism Development Corporation should develop a framework for
quality assurance policy improvement among hotels in Nigeria. By so doing, hotel management companies and
intending property development and management companies would be guided and buoyed into doing things
beyond benchmarking
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