Abstract: The purpose of the study was to examine lifelong
education for teachers as a tool for achieving effective teaching and
learning. Lifelong education enhances social inclusion, personal
development, citizenship, employability, teaching and learning,
community and the nation. It is imperative that the teacher needs to
update his knowledge regularly to be able to perform optimally, since
he has a major position in the inculcation of desirable elements in
students, and the challenges of lifelong education were also
discussed. Descriptive survey design was adopted for the study. A
simple random sampling technique was used to select 80 teachers as
sample from a population of 105 senior secondary school teachers in
Makurdi Local Government Area of Benue State. A 20-item self
designed questionnaire subjected to expert validation and reliability
was used to collect data. The reliability Alpha coefficient of 0.87 was
established using Cronbach’s Alpha technique, mean scores and
standard deviation were used to answer the 2 research questions
while chi-square was used to analyse data for the 2 null hypotheses,
which states that lifelong education for teachers is not a significant
tool for achieving effective teaching and lifelong education for
teachers does not significantly impact on effective learning. The
findings of the study revealed that, lifelong education for teachers can
be used as a tool for achieving effective teaching and learning, and
the study recommended among others that government, organizations
and individuals should in collaboration put lifelong education
programmes for teachers on the priority list. The paper concluded
that the strategic position of lifelong education for teachers towards
enhanced teaching, learning and the production of quality manpower
in the society makes it imperative for all hands to be on “deck” to
support the programme financially and otherwise.
Abstract: Hypertension is a common condition causing cardio
and cerebrovascular complications. Portugal has one of the highest
mortality rates from stroke and a high prevalence of hypertension.
Systolic Blood Pressure (SBP) is an important risk factor for
cardiovascular events (myocardial infarction and stroke) and
premature mortality, particularly in the elderly population. The
present study aims to estimate the prevalence of hypertension in a
Portuguese population living in a coastal city and to identify some of
its determinants (namely gender, age, the body mass index and
physical activity frequency). A total of 91 adults who attended three pharmacies of a coastal
city in the center of Portugal, between May and August of 2013 were
evaluated. Attendants who reported to have diabetes or taking
antihypertensive drugs in the 2 previous weeks were excluded from
the study. Sociodemographic factors, BMI, habits of exercise and BP
were assessed. Hypertension was defined as blood pressure ≥140/90
mmHg. The majority of the studied population was constituted by women
(75.8%), with a mean age of 54.2±1.6 years old, married or living in
civil union and that had completed secondary school or had higher
education (40%). They presented a mean BMI of 26.2±4.76 Kg/m2.,
and were sedentary. The mean BP was 127.0±17.77mmHg- 74.69 ±
9.53. In this population we found 4.3% of people with hypertension
and 16.1% with normal high blood pressure. Men exhibit a tendency to present higher systolic blood pressure
values than women. Of all the factors considered, SBP values also
tended to be higher with age and higher BMI values.
Despite the fact that the mean values of SBP did not present values
higher than 140 mmHg we must be concerned because the studied
population is undiagnosed for hypertension. Although this is a preliminary study, it might be a prelude to the
upcoming research about the underlying factors responsible for the
occurrence of SBP.
Abstract: The energy need is growing rapidly due to the
population growth and the large new usage of power. Several works
put considerable efforts to make the electricity grid more intelligent
to reduce essentially energy consumption and provide efficiency and
reliability of power systems. The Smart Grid is a complex
architecture that covers critical devices and systems vulnerable to
significant attacks. Hence, security is a crucial factor for the success
and the wide deployment of Smart Grids. In this paper, we present
security issues of the Smart Grid architecture and we highlight open
issues that will make the Smart Grid security a challenging research
area in the future.
Abstract: Imperialist Competitive Algorithm (ICA) is a recent
meta-heuristic method that is inspired by the social evolutions for
solving NP-Hard problems. The ICA is a population-based algorithm
which has achieved a great performance in comparison to other metaheuristics.
This study is about developing enhanced ICA approach to
solve the Cell Formation Problem (CFP) using sequence data. In
addition to the conventional ICA, an enhanced version of ICA,
namely EICA, applies local search techniques to add more
intensification aptitude and embed the features of exploration and
intensification more successfully. Suitable performance measures are
used to compare the proposed algorithms with some other powerful
solution approaches in the literature. In the same way, for checking
the proficiency of algorithms, forty test problems are presented. Five
benchmark problems have sequence data, and other ones are based on
0-1 matrices modified to sequence based problems. Computational
results elucidate the efficiency of the EICA in solving CFP problems.
Abstract: The Greater Athens Area (GAA) faces photochemical
and particulate pollution episodes as a result of the combined effects
of local pollutant emissions, regional pollution transport, synoptic
circulation and topographic characteristics. The area has undergone
significant changes since the Athens 2004 Olympic Games because
of large scale infrastructure works that lead to the shift of population
to areas previously characterized as rural, the increase of the traffic
fleet and the operation of highways. However, few recent modelling
studies have been performed due to the lack of an accurate, updated
emission inventory. The photochemical modelling system
MM5/CAMx was applied in order to study the photochemical and
particulate pollution characteristics above the GAA for two distinct
ten-day periods in the summer of 2006 and 2010, where air pollution
episodes occurred. A new updated emission inventory was used
based on official data. Comparison of modeled results with
measurements revealed the importance and accuracy of the new
Athens emission inventory as compared to previous modeling
studies. The model managed to reproduce the local meteorological
conditions, the daily ozone and particulates fluctuations at different
locations across the GAA. Higher ozone levels were found at
suburban and rural areas as well as over the sea at the south of the
basin. Concerning PM10, high concentrations were computed at the
city centre and the southeastern suburbs in agreement with measured
data. Source apportionment analysis showed that different sources
contribute to the ozone levels, the local sources (traffic, port
activities) affecting its formation.
Abstract: With the increasing population and intensive land use,
huge traffic demand is generating worldwide both in developing and
developed countries. As a developing country, Bangladesh is also
facing the same problem in recent years by producing huge numbers
of daily trips. As a matter of fact, extensive traffic demand is
increasing day by day. Also, transport system in Dhaka is
heterogeneous, reflecting the heterogeneity in the socio-economic
and land use patterns. Trips produced here are for different purposes
such as work, business, educational etc. Due to the significant
concentration of educational institutions a large share of the trips are
generated by educational purpose. And one of the major percentages
of educational trips is produced by university going students and
most of them are travelled by car, bus, train, taxi, rickshaw etc. The
aim of the study was to find out the university students’ perception on
public transit ridership. A survey was conducted among 330 students
from eight different universities. It was found out that 26% of the
trips produced by university going students are travelled by public
bus service and only 5% are by train. Percentage of car share is 16%
and 12% of the trips are travelled by private taxi. It has been
observed from the study, students those who prefer bus instead of
other options, 42 percent of their family resides outside Dhaka. And
those who prefer walking, of them, over 40 percent students’ family
reside outside of Dhaka and of them over 85 percent students have a
tendency to live in a mess. On the contrary, students travelling by car
represents, most of their family reside in Dhaka. The study also
revealed that the most important reason that restricts students not to
use public transit is poor service. Negative attitudes such as
discomfort, uneasiness in using public transit also reduces the usage
of public transit. The poor waiting area is another major cause of not
using public transit. Insufficient security also plays a significant role
in not using public transit. On the contrary, the fare is not a problem
for students those who use public transit as a mode of transportation.
Students also think stations are not far away from their home or
institution and they do not need to wait long for the buses or trains. It
was also found accessibility to public transit is moderate.
Abstract: Growing human population has placed increased
demands on water supplies and spurred a heightened interest in
desalination infrastructure. Key elements of the economics of
desalination projects are thermal and electrical inputs. With growing
concerns over use of fossil fuels to (indirectly) supply these inputs,
coupling of desalination with nuclear power production represents a
significant opportunity. Individually, nuclear and desalination
technologies have a long history and are relatively mature. For
desalination, Reverse Osmosis (RO) has the lowest energy inputs.
However, the economically driven output quality of the water
produced using RO, which uses only electrical inputs, is lower than the
output water quality from thermal desalination plants. Therefore,
modern desalination projects consider that RO should be coupled with
thermal desalination technologies (MSF, MED, or MED-TVC) with
attendant steam inputs to permit blending to produce various qualities
of water. A large nuclear facility is well positioned to dispatch large
quantities of both electrical and thermal power. This paper considers
the supply of thermal energy to a large desalination facility to examine
heat balance impact on the nuclear steam cycle. The APR1400 nuclear
plant is selected as prototypical from both a capacity and turbine cycle
heat balance perspective to examine steam supply and the impact on
electrical output. Extraction points and quantities of steam are
considered parametrically along with various types of thermal
desalination technologies to form the basis for further evaluations of
economically optimal approaches to the interface of nuclear power
production with desalination projects. In our study, the
thermodynamic evaluation will be executed by DE-TOP, an IAEA
sponsored program. DE-TOP has capabilities to analyze power
generation systems coupled to desalination plants through various
steam extraction positions, taking into consideration the isolation loop
between the nuclear and the thermal desalination facilities (i.e., for
radiological isolation).
Abstract: Cholera is a disease that is predominately common in
developing countries due to poor sanitation and overcrowding
population. In this paper, a deterministic model for the dynamics of
cholera is developed and control measures such as health educational
message, therapeutic treatment, and vaccination are incorporated in
the model. The effective reproduction number is computed in terms
of the model parameters. The existence and stability of the
equilibrium states, disease free and endemic equilibrium states are
established and showed to be locally and globally asymptotically
stable when R0 < 1 and R0 > 1 respectively. The existence of
backward bifurcation of the model is investigated. Furthermore,
numerical simulation of the model developed is carried out to show
the impact of the control measures and the result indicates that
combined control measures will help to reduce the spread of cholera
in the population.
Abstract: Financial inclusion has become a crucially important
factor in debates on economic inequality posing challenges to the
financial systems of countries around the world. Nowadays
governments and banks are concerned about creating products that
allow access to wide sectors of the population. The creation of
banking products by the financial sector for people with low incomes
tends to lead to improvements in the quality of life of vulnerable parts
of the population. In countries with notable social and economic
inequalities, financial inclusion is a key aspect for equitable
economic growth. This study is based on the case of Colombia, which is a country
with a strong record of economic growth over the past decade.
Nevertheless, corruption, unemployment, and poverty contribute to
uncertainty regarding the country’s future growth prospects. This study wants to explain the situation of financial exclusion and
financial inclusion with respect to the Colombian case. Financial
inclusion is going to be studied from the perspective of social
innovation.
Abstract: Predicting earnings management is vital for the capital
market participants, financial analysts and managers. The aim of this
research is attempting to respond to this query: Is there a significant
difference between the regression model and neural networks’
models in predicting earnings management, and which one leads to a
superior prediction of it? In approaching this question, a Linear
Regression (LR) model was compared with two neural networks
including Multi-Layer Perceptron (MLP), and Generalized
Regression Neural Network (GRNN). The population of this study
includes 94 listed companies in Tehran Stock Exchange (TSE)
market from 2003 to 2011. After the results of all models were
acquired, ANOVA was exerted to test the hypotheses. In general, the
summary of statistical results showed that the precision of GRNN did
not exhibit a significant difference in comparison with MLP. In
addition, the mean square error of the MLP and GRNN showed a
significant difference with the multi variable LR model. These
findings support the notion of nonlinear behavior of the earnings
management. Therefore, it is more appropriate for capital market
participants to analyze earnings management based upon neural
networks techniques, and not to adopt linear regression models.
Abstract: Rapid population growth, urbanization and
industrialization are known as the most important factors of
environment problems. Elimination and management of solid wastes
are also within the most important environment problems. One of the
main problems in solid waste management is the selection of the best
site for elimination of solid wastes. Lately, Geographical Information
System (GIS) has been used for easing selection of landfill area. GIS
has the ability of imitating necessary economic, environmental and
political limitations. They play an important role for the site selection
of landfill area as a decision support tool. In this study; map layers will be studied for minimum effect of
environmental, social and cultural factors and maximum effect for
engineering/economic factors for site selection of landfill areas and
using GIS for a decision support mechanism in solid waste landfill
areas site selection will be presented in Aksaray/Turkey city,
Güzelyurt district practice.
Abstract: The apportionment method is used by many countries, to calculate the distribution of seats in political bodies. For example, this method is used in the United States (U.S.) to distribute house seats proportionally based on the population of the electoral district. Famous apportionment methods include the divisor methods called the Adams Method, Dean Method, Hill Method, Jefferson Method and Webster Method. Sometimes the results from the implementation of these divisor methods are unfair and include errors. Therefore, it is important to examine the optimization of this method by using a bias measurement to figure out precise and fair results. In this research we investigate the bias of divisor methods in the U.S. Houses of Representatives toward large and small states by applying the Stolarsky Mean Method. We compare the bias of the apportionment method by using two famous bias measurements: the Balinski and Young measurement and the Ernst measurement. Both measurements have a formula for large and small states. The Third measurement however, which was created by the researchers, did not factor in the element of large and small states into the formula. All three measurements are compared and the results show that our measurement produces similar results to the other two famous measurements.
Abstract: As a basic physiology need, threat to sufficient food
production is threat to human survival. Food security has been an
issue that has gained global concern. This paper looks at the food
security in Nigeria by assessing the availability of food and
accessibility of the available food. The paper employed multiple
linear regression technique and graphic trends of growth rates of
relevant variables to show the situation of food security in Nigeria.
Results of the tests revealed that population growth rate was higher
than the growth rate of food availability in Nigeria for the earlier
period of the study. Commercial bank credit to agricultural sector,
foreign exchange utilization for food and the Agricultural Credit
Guarantee Scheme Fund (ACGSF) contributed significantly to food
availability in Nigeria. Food prices grew at a faster rate than the
average income level, making it difficult to access sufficient food. It
implies that prior to the year 2012; there was insufficient food to feed
the Nigerian populace. However, continued credit to the food and
agricultural sector will ensure sustained and sufficient production of
food in Nigeria. Microfinance banks should make sufficient credit
available to smallholder farmer. Government should further control
and subsidize the rising price of food to make it more accessible by
the people.
Abstract: The Japanese version of the SF-36 has been employed
to assess individuals’ health-related QOL (HRQOL). This study aimed
to clarify the HRQOL of motorists with a spinal cord injury, in order to
compare these individuals' SF-36 scores and national standard values.
A total of 100 motorists with a spinal cord injury participated in this
study. Participants’ HRQOL was evaluated using the Japanese version
of the SF-36 (second edition). The score for each subscale was
standardized based on data on the Japanese population. The average
scores for NPF, NRP, NBP, NGH, NVT, NSF, NRE, and NMH were
10.9, 41.8, 45.9, 47.1, 46.1, 46.7, 46.0, and 47.4 points, respectively.
Subjects showed significantly lower scores for NPF and NRP
compared with national standard values, which were both ≤ 45.0
points, but relatively normal scores for the other items: NBP, NGH,
NVT, NSF, NRE and NMH (> 45.0 points). The average scores for
PCS, MCS and RCS were 21.9, 56.0, and 50.0 points, respectively.
Subjects showed a significantly lower PCS score (≤ 20.0 points);
however, the MCS score was higher (> 55.0 points) along with a
relatively normal RCS score in these individuals (= 50.0 points).
Abstract: Two normal populations with different means and same
variance are considered, where the variance is known. The population
with the smaller sample mean is selected. Various estimators are
constructed for the mean of the selected normal population. Finally,
they are compared with respect to the bias and MSE risks by
the mehod of Monte-Carlo simulation and their performances are
analysed with the help of graphs.
Abstract: Anammox is a novel and promising technology that has changed the traditional concept of biological nitrogen removal. The process facilitates direct oxidation of ammonical nitrogen under anaerobic conditions with nitrite as an electron acceptor without addition of external carbon sources. The present study investigated the feasibility of Anammox Hybrid Reactor (AHR) combining the dual advantages of suspended and attached growth media for biodegradation of ammonical nitrogen in wastewater. Experimental unit consisted of 4 nos. of 5L capacity AHR inoculated with mixed seed culture containing anoxic and activated sludge (1:1). The process was established by feeding the reactors with synthetic wastewater containing NH4-H and NO2-N in the ratio 1:1 at HRT (hydraulic retention time) of 1 day. The reactors were gradually acclimated to higher ammonium concentration till it attained pseudo steady state removal at a total nitrogen concentration of 1200 mg/l. During this period, the performance of the AHR was monitored at twelve different HRTs varying from 0.25-3.0 d with increasing NLR from 0.4 to 4.8 kg N/m3d. AHR demonstrated significantly higher nitrogen removal (95.1%) at optimal HRT of 1 day. Filter media in AHR contributed an additional 27.2% ammonium removal in addition to 72% reduction in the sludge washout rate. This may be attributed to the functional mechanism of filter media which acts as a mechanical sieve and reduces the sludge washout rate many folds. This enhances the biomass retention capacity of the reactor by 25%, which is the key parameter for successful operation of high rate bioreactors. The effluent nitrate concentration, which is one of the bottlenecks of anammox process was also minimised significantly (42.3-52.3 mg/L). Process kinetics was evaluated using first order and Grau-second order models. The first-order substrate removal rate constant was found as 13.0 d-1. Model validation revealed that Grau second order model was more precise and predicted effluent nitrogen concentration with least error (1.84±10%). A new mathematical model based on mass balance was developed to predict N2 gas in AHR. The mass balance model derived from total nitrogen dictated significantly higher correlation (R2=0.986) and predicted N2 gas with least error of precision (0.12±8.49%). SEM study of biomass indicated the presence of heterogeneous population of cocci and rod shaped bacteria of average diameter varying from 1.2-1.5 mm. Owing to enhanced NRE coupled with meagre production of effluent nitrate and its ability to retain high biomass, AHR proved to be the most competitive reactor configuration for dealing with nitrogen laden wastewater.
Abstract: Cole-Cole parameters of 40 post-menopausal women
are compared with their DEXA bone mineral density measurements.
Impedance characteristics of four extremities are compared; left and
right extremities are statistically same, but lower extremities are
statistically different than upper ones due to their different fat
content. The correlation of Cole-Cole impedance parameters to bone
mineral density (BMD) is observed to be higher for dominant arm.
With the post-menopausal population, ANOVA tests of the dominant
arm characteristic frequency, as a predictor for DEXA classified
osteopenic and osteoporic population around lumbar spine, is
statistically very significant. When used for total lumbar spine
osteoporosis diagnosis, the area under the Receiver Operating Curve
of the characteristic frequency is 0.830, suggesting that the Cole-Cole
plot characteristic frequency could be a useful diagnostic parameter
when integrated into standard screening methods for osteoporosis.
Moreover, the characteristic frequency can be directly measured by
monitoring frequency driven angular behavior of the dominant arm
without performing any complex calculation.
Abstract: The research aims to study the association between
job satisfaction, motivation and the five factors of organizational
citizenship behavior (i.e. Altruism, Conscientiousness,
Sportsmanship, Courtesy and Civic virtue) among Public Sector
Employees in Pakistan. In this research Structure Equation Modeling
with confirmatory factor analysis was used to test the relationship
between two independent and five dependent variables. Data was
collected through questionnaire survey from 152 Public Servants
Working in Gujrat District-Pakistan in different capacities. Stratified
Random Sampling Technique was used to conduct this survey. The
results of the study indicate that five factors of OCB have positive
significant relation with both motivation and job satisfaction except
the relationship of Civic Virtue with Motivation. The research
findings implicate that factors other than motivation and job
satisfaction may also affect OCB. Likewise, all the five factors of
OCB may not be present in all populations. Thus, Managers must
concentrate on increasing motivation and job satisfaction to increase
OCB. Furthermore, the present research gives a direction to future
researchers to use more independent variables (e.g. Culture,
leadership, workplace environment, various job attitudes, types of
motivation, etc.) on different types of populations with larger sample
size in order to find the reasons behind insignificant relationship of
civic virtue with Motivation in the research in hand and to generalize
the tested model.
Abstract: The right to basic sanitation, was elevated to the
category of fundamental right by the Constitution of 1988 to protect
the ecologically balanced environment, ensuring social rights to
health and adequate housing and put the dignity of the human person
as the foundation of the Brazilian Democratic State. Before their
essentiality to humans, this article seeks to understand why universal
access to basic sanitation is a goal so difficult to achieve in Brazil.
Therefore, this research uses the deductive and analytical method.
Given the nature of the research literature, research techniques were
centered in specialized books on the subject, journals, theses and
dissertations, laws, relevant law case and raising social indicators
relating to the theme. The relevance of the topic stems, among other
things, the fact that sanitation services are essential for a dignified
life, i.e., everyone is entitled to the maintenance of the necessary
existence conditions are satisfied. However, the effectiveness of this
right is undermined in society, since Brazil has huge deficit in
sanitation services, denying thus a worthy life to most of the
population. Thus, it can be seen that the provision of water and
sewage services in Brazil is still characterized by a large imbalance,
since the municipalities with lower population index have greater
disability in the sanitation service. The truth is that the precariousness
of water and sewage services in Brazil is still very concentrated in the
North and Northeast regions, limiting the effective implementation of
the Law 11.445/2007 in the country. Therefore, there is urgent need
for a positive service by the State in the provision of sanitation
services in order to prevent and control disease, improve quality of
life and productivity of individuals, besides preventing contamination
of water resources. More than just social and economic necessity,
there is a government duty to implement such services. In this sense,
given the current scenario, to achieve universal access to basic
sanitation imposes many hurdles. These are mainly in the field of
properly formulated and implemented public policies, i.e., it requires
an excellent institutional organization, management services,
strategic planning, social control, in order to provide answers to
complex challenges.
Abstract: Batch production plants provide a wide range of
scheduling problems. In pharmaceutical industries a batch process
is usually described by a recipe, consisting of an ordering of tasks
to produce the desired product. In this research work we focused
on pharmaceutical production processes requiring the culture of
a microorganism population (i.e. bacteria, yeasts or antibiotics).
Several sources of uncertainty may influence the yield of the culture
processes, including (i) low performance and quality of the cultured
microorganism population or (ii) microbial contamination. For
these reasons, robustness is a valuable property for the considered
application context. In particular, a robust schedule will not collapse
immediately when a cell of microorganisms has to be thrown away
due to a microbial contamination. Indeed, a robust schedule should
change locally in small proportions and the overall performance
measure (i.e. makespan, lateness) should change a little if at all.
In this research work we formulated a constraint programming
optimization (COP) model for the robust planning of antibiotics
production. We developed a discrete-time model with a multi-criteria
objective, ordering the different criteria and performing a
lexicographic optimization. A feasible solution of the proposed
COP model is a schedule of a given set of tasks onto available
resources. The schedule has to satisfy tasks precedence constraints,
resource capacity constraints and time constraints. In particular
time constraints model tasks duedates and resource availability
time windows constraints. To improve the schedule robustness, we
modeled the concept of (a, b) super-solutions, where (a, b) are input
parameters of the COP model. An (a, b) super-solution is one in
which if a variables (i.e. the completion times of a culture tasks)
lose their values (i.e. cultures are contaminated), the solution can be
repaired by assigning these variables values with a new values (i.e.
the completion times of a backup culture tasks) and at most b other
variables (i.e. delaying the completion of at most b other tasks).
The efficiency and applicability of the proposed model is
demonstrated by solving instances taken from a real-life
pharmaceutical company. Computational results showed that
the determined super-solutions are near-optimal.