Selected Institutions in Southwestern Nigeria
]]> selected institutions from four states in Southwestern Nigeria. The three purposively selected institutions
were Federal, State and Private owned making twelve institutions. However, the administered
questionnaire was filled in by the ten (10) IT personnel, ten (10) lecturers and five (5) students from each
of the selected institutions making 300 respondents. The questionnaire elicited information on the forms
and models of cloud computing technology adopted and the extent of use of the adopted cloud computing
technologies in the selected institutions. Secondary data were obtained from relevant literature. Data
collected were analysed with descriptive and inferential statistics. The study concludes that the forms of
cloud computing technology adopted by the selected institutions in Southwestern Nigeria are
infrastructure-as-a-service (IaaS), software-as-a-service (SaaS) and platform-as-a-service (PaaS) while
software-as-a-service (SaaS) is often used by the institutions. Also, the models of adopted cloud computing
technology are private, public, hybrid and community cloud computing by the selected institutions in
Southwestern Nigeria. The adopted forms and models of cloud computing technology are used for
different business functions such as payroll, procurement, human resources, accounting and finance,
CRM, application development, and project management.
]]> ]]> important role. Based on the feedback we can decide whether the desired item is good or not, get a
picture of the seller and so on. Many companies that have online shops display the most positive
feedback while hiding bad ones or display only a few of them. In this research, we will help people
by automating the process of deciding whether a feedback is positive or negative, which will give
them time for other jobs and save money for hiring people who will work on the feedback. Since
feedback on online articles is very important today, the process of determining positive and
negative feedback should be made as quick and easy as possible. In this research, we will show a
very simple and fast way to classify feedback as positive or negative, which means that the main
question of this research is how to facilitate and speed up the process of determining the polarity of
the feedback. We will use NLP using Python’s library called TextBlob. The used algorithm is called
Naïve Bayes, it gave the accuracy of around 80%.
]]> in Cloud Computing]]> seamless scaling, many companies struggle following up with the amount of data generated in terms
of efficient processing and anomaly detection, which is a necessary part of the management of
modern applications. As the record of user behavior, weblogs surely become the research item
related to anomaly detection. Many anomaly detection methods based on automated log analysis
have been proposed. However, not in the context of big data applications where anomalous behavior
needs to be detected in understanding phases prior to modeling a system for such use. Big Data
Analytics often ignores anomalous point due to high volume of data. To address this problem, we
propose a complemented methodology for Big Data Analytics – the Exploratory Data Analysis,
which assists in gaining insight into data relationships without the classical hypothesis modeling. In
that way, we can gain better understanding of the patterns and spot anomalies. Results show that
Exploratory Data Analysis facilitates anomaly detection and the CRISP-DM Business
Understanding phase, making it one of the key steps in the Data Understanding phase.
]]> ]]> environment and outside world. They are characterized by high mortality and ability to cause
health problems in areas of the human body other than the urinary tract. It has been long clinical
practice to treat these infections with antibiotics, a tactic made very ineffective with the advent of
antibiotic-resistant microbial strains. The research has turned to alternative modes of treatment,
such as use of herbal remedies to combat urinary tract infections. Effect of two types of herbal teas
was observed through use of broth microdilution assay, to test varying concentrations of teas on the
growth of selected microorganisms. Results were verified by assessment of colony growth on
Mueller Hinton Agar plates. Tested microorganisms exhibited very dense colony growth. Similarity
of conditions between urinary retention and conditions under which microorganisms were cultured
in 96-well plates possible reason for density of growth. Methods with higher degree of confidence in
treatment of urinary tract infections could likely be the combination of antibiotics with herbal teas.]]> ]]> power quality. Nowadays, interest in power quality has increased since it has become a very
important issue in power system delivery. One of the major problems of ensuring a certain level of
power quality are harmonics. The aim of this project is to investigate an impact of photovoltaic
(PV) on harmonic voltage distortion (HD) in real MV distribution network. Different scenarios will
be implemented where solar power plant is going to be modelled with high variability of load and
generation to see their effects on the systems power quality (PQ). Those scenarios are when PV is
disconnected from the grid and PVs are connected with 2 different powers. Results presented below
showed that PV improves power quality of the system, because their inverters are source of
harmonics and they increase HD. However, that impact is not very significant and harmonic limits
are not violated. A load flow analysis is done for the model of test system 110/35/10kV in which a
distributed generator is added, that is on-grid or off-grid. The network modelling and simulation is
done in DIgSILENT PowerFactory software.]]> ]]> human gastrointestinal tract. Bacillus subtilis subsp. spizizenii is a type of Bacillus subtilis complex.
It shares up to 99% of homology with B. subtilis CU1, which can be represented as a probiotic
strain. Metal compounds found in soil or used in agriculture can easily enter the food chain and end
up in our gut. Gram-positive bacteria (e.g. Bacillus spp.) have good adsorptive capacity for metals
due to high peptidoglycan and teichoic acid content in cell walls. There is some evidence that
certain metals inside the intestine play an important role in influencing growth and functionality of
specific probiotic strains. Some of them have inhibitory, while others have an activating effect on
bacteria. This study revealed that metal compounds increased antibiotic susceptibility of B. subtilis
subsp. spizizenii. Higher concentrations of metal solutions inhibited growth of tested bacteria.
Culture did not show affinity to form biofilms before or after addition of metal solutions]]> ]]> capacity for drug resistance, and immunosuppressive abilities. Traditional methods used both for research of cancer and its subsequent treatment have fallen short of being able to accurately understand and ultimately defeat cancer within the body. Biomaterials present a unique solution to many problems associated with cancer. The use of biomaterials in cancer cell modeling has promoted a better understanding of tumor microenvironments. Biomaterials can also serve as drug and adjuvant carriers that are more likely to reach their target cancer cells. Many biomaterials also have standalone antitumor properties, and can also help in modulating the immune response, triggering various immune cells to attack cancerous cells. Naturally derived biomaterials include polysaccharides, lipids, polypeptides, vitamin E derivatives, and even plant extracts like curcumin. Biomaterial-based cancer treatments tend to have a longerlasting and more dependable effect inside the body and can come in many different forms, from polymeric scaffolds to injectable nanoparticles.]]> <quillbot-extension-portal></quillbot-extension-portal>]]> converters, grid synchronization, sensorless flux estimation, and control of motor drives. The nature of the FLL allows for it to be a potentially perfect calculation method for power calculation. The obtained results showcase the effectiveness of the proposed power calculation method.]]>