]]> 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.]]> 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.
]]> ]]> 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%.
]]> 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.
]]> population of Sarajevo, as a result of economic and social migrations. Consequently, this has caused
an increasing demand for new housing which is mainly profit-oriented without any beneficial social,
environmental or cultural implication. Primary objective of this research is to analyze the current
situation and to assess the quality of the buildings not only as a housing solution, but as a complex
that unites the community who inhabits it. This research will be conducted in a qualitative manner
in analysis and statistical approach over the data related to the urbanization, building standards
and positive effects of the building. Newly built parts of settlements Otoka and Stup will be used as
case studies, since these parts of the city are most influenced by the mass production of the new
housing solutions. This paper stresses out the correlation between high demand for the new housing
and decreased quality of the housing without respecting minimum spatial and environmental
standards, without basic amenities, social infrastructure and recreational and cultural activities.
There is a need for improvements in contemporary housing design that will reflect with positive
impacts on social, environmental, economic and cultural aspects of urban living.
]]> ]]>
]]> ]]> ]]> subset of media literacy. A review of international scholarship with
regard to news literacy conceptualizations confirms that there are
diverse and competing notions of its definition and purpose: while
the civic component of news literacy clearly distinguishes it from
media literacy and other new literacies, there is a noticeable divide
between journalism-driven and media literacy-derived approaches.
Qualitative data analysis was used to identify patterns in a subset of
approximately 120 examples of current English-language
international scholarship. By proposing three preliminary
taxonomic classifications of news literacy – protectionist versus
empowerment; skills versus knowledge; and levels of abstraction –
this conceptual paper provides orientation in the field.]]>