Abstract: Polymorphism is one of the main pillars of objectoriented
paradigm. It induces hidden forms of class dependencies
which may impact software quality, resulting in higher cost factor for
comprehending, debugging, testing, and maintaining the software. In
this paper, a new cognitive complexity metric called Cognitive
Weighted Polymorphism Factor (CWPF) is proposed. Apart from the
software structural complexity, it includes the cognitive complexity
on the basis of type. The cognitive weights are calibrated based on 27
empirical studies with 120 persons. A case study and experimentation
of the new software metric shows positive results. Further, a
comparative study is made and the correlation test has proved that
CWPF complexity metric is a better, more comprehensive, and more
realistic indicator of the software complexity than Abreu’s
Polymorphism Factor (PF) complexity metric.
Abstract: This study aimed to 1) develop pre-service teachers’
leadership skills through camp-based learning, and 2) develop preservice
teachers’ teamwork skills through camp-based learning. An
applied research methodology was used. The target group was
derived from a purposive selection. It involved 32 fourth-year
students in Early Childhood Education Program enrolling a course
entitled Seminar in Early Childhood Education provided during
second semester of academic year 2013. The treatment was camp-based
learning activities which applied a PDCA process including
four stages: 1) plan, 2) do, 3) check, and 4) act. Research instruments
were a learning camp program, a camp-based learning management
plan, a 5-level assessment form for leadership skills and a 5-level
assessment form for assessing teamwork skills. Data were analyzed
using descriptive statistics. Results were: 1) pre-service teachers’
leadership skills yielded the before treatment average score at x= 3.4,
S.D.=0.6 2and the after-treatment average score at x 4.29 , S.D.=0.66
pre-service teachers’ teamwork skills yielded the before-treatment
average score at x=3.31, S.D.=0.60 and the after-treatment average
score at x=4.42, S.D.=0.66 Both differences were statistically
significant at the .05 level. Thus, the pre-service teachers’ leadership
and teamwork skills were significantly improved through the camp-based
learning approach.
Abstract: The importance of agribusiness development is
proved in accordance with the trends in the agricultural sector of
Georgia. Agribusiness environment and the consequences of the
agricultural reforms are evaluated. The factors hindering the
development of agribusiness are revealed and the ways for
overcoming these problems are suggested. SWOT analysis is done in
order to identify the needs of agribusiness. The needs of agribusiness
development in Georgia are evaluated by priorities: prevention of
diseases and reduction of the harm caused by these diseases,
accessibility of long-term agricultural loans with low interest rates,
improving qualification of farmers, the level of education and usage
of modern technologies, changes in legislation, accessibility to high
quality agricultural machinery, and the development of infrastructure.
Based on the outcomes of the research, agribusiness development
strategies in Georgia are suggested and appropriate priorities of
economic policy are determined. Conclusions are made and based on
these conclusions, some recommendations are suggested.
Abstract: Economic development and growth are significantly
linked to the consistent and sustainable sector of small and medium
enterprises (SMEs). Banks are the frontrunners in financing and
advising SMEs. The main objective of the study is to assess the
tendency of SMEs to use the Islamic bank. Model was developed
using quantitative method with a hypothetical-deductive testing
approach. Model (N = 364) used primary data on the tendency of
SMEs to use Islamic banks gathered from questionnaire. It is found
by Mann-Whitney test that the tendency to use Islamic bank varies
between those firms which consider formal financing with the ones
relying on informal financing with the latter tends more to use
Islamic bank. This study can serve academic researchers, policy
makers, and developing countries as a model of SMEs’ desirability to
Islamic banking.
Abstract: The wider growing Finite Element Method (FEM)
application is caused by its benefits of cost saving and environment
friendly. Also, by using FEM a deep understanding of certain
phenomenon can be achieved. This paper observed the role of
material properties and volumetric change when Solid State Phase
Transformation (SSPT) takes place in residual stress formation due to
a welding process of ferritic steels through coupled Thermo-
Metallurgy-Mechanical (TMM) analysis. The correctness of FEM residual stress prediction was validated by
experiment. From parametric study of the FEM model, it can be
concluded that the material properties change tend to over-predicts
residual stress in the weld center whilst volumetric change tend to
underestimates it. The best final result is the compromise of both by
incorporates them in the model which has a better result compared to
a model without SSPT.
Abstract: Many herbal medicinal products are considered
potential anti-hypercholesterolemic agents with encouraging safety
profiles, however only a limited amount of clinical research exists to
support their efficacy. The present study was designed to compare the
antihypercholesterolemic and antioxidant activities of the crude
ethanolic extracts of Citrus reticulata fruit peel, Zingiber officinale
rhizome and Sesamum indicum seeds. Forty-five rats were used throughout the experiment which are
extended for four weeks. These were divided into nine groups, five
rats per each group as follows; group 1 was the normal control group
(rats only fed standard normal rat diet), group 2 was the
hypercholesterolemic control group (rats fed only
hypercholesterolemic diet which contained 1% cholesterol plus 10%
saturated animal fat added to the normal rat diet), groups 3 and 4
were fed hypercholesterolemic diet in addition to Citrus reticulata
ethanolic extract at doses of (250mg/kg (group 3) and 500mg/kg
(group 4)) administered daily via oral route, groups 5 and 6 were
given hypercholesterolemic diet in addition to Zingiber officinale
ethanolic extract at doses of (250mg/kg (group 5) and 500mg/kg
(group 6)) daily through oral route, groups 7 and 8 fed on
hypercholesterolemic diet in addition to Sesamum indicum ethanolic
extract at doses of (250mg/kg (group 7) and 500mg/kg (group 8))
daily orally; and group 9 rats were given hypercholesterolemic diet in
addition to atorvastatin (0.18mg/kg) daily via oral route as a standard
reference antihypercholesterolemic drug. Blood samples from all
groups were drawn from the retro-orbital venous plexus four weeks
following treatment after overnight fasting and the lipid profile (total
cholesterol (TC), high density lipoprotein-cholesterol (HDL-C), low
density lipoprotein-cholesterol (LDL-C) and triglyceride levels) were
measured and the risk ratio (TC/HDL-C) was assessed. The
antioxidant activity of the three plants extracts was determined using
DPPH free-radical antioxidant assay. Results of in vivo and in vitro
antihypercholesterolemic and antioxidant assay respectively, revealed
that the three extracts possess comparable antioxidant and
antihypercholesterolemic activities.
Abstract: The contemporary battlefield creates a demand for
more costly and highly advanced munitions. Training personnel
responsible for operations as well as immediate execution of combat
tasks which engage real asset is unrealistic and economically not
feasible. Owing to a wide array of exploited simulators and various
types of imitators, it is possible to reduce the costs. One of the
effective elements of training, which can be applied in the training of
all service branches, is imitator of aerial targets. This research serves
as an introduction to the commencement of design analysis over a
real aerial target imitator. Within the project, the basic aerodynamic
calculations were made, which enabled to determine its geometry,
design layout, performance as well as mass balance of individual
components. The conducted calculations of the parameters of flight
characteristics come closer to the real performance of such
Unmanned Aerial Vehicles.
Abstract: Brain-Computer Interfaces (BCIs) measure brain
signals activity, intentionally and unintentionally induced by users,
and provides a communication channel without depending on the
brain’s normal peripheral nerves and muscles output pathway.
Feature Selection (FS) is a global optimization machine learning
problem that reduces features, removes irrelevant and noisy data
resulting in acceptable recognition accuracy. It is a vital step
affecting pattern recognition system performance. This study presents
a new Binary Particle Swarm Optimization (BPSO) based feature
selection algorithm. Multi-layer Perceptron Neural Network
(MLPNN) classifier with backpropagation training algorithm and
Levenberg-Marquardt training algorithm classify selected features.
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: This investigation is focused on using of Mon dance
in Pathum Thani Province’s tradition and has the following
objectives: 1) to study the background of Mon dance in Pathum
Thani Province; 2) to study Mon dance in Pathum Thani Province;
and 3) to study of using Mon dance in Pathum Thani province’s
tradition. This qualitative research was conducted in Pathum Thani
province (in the central of Thailand). Data was collected from
documentary study and field data by means of observation, interview,
and group discussion. Workshops were also held with a total of 100
attendees, comprised of 20 key informants, 40 casual informants and
40 general informants. Data was validated using the triangulation
technique and the findings are presented using the descriptive
analysis. The results of the study show that the historical background
of Mon dance in Pathum Thani Province initiated during the war
evacuation from Martaban (south of Burma) to settle down in Sam
Khok, Pathum Thani Province in Ayutthaya period to Rattanakosin.
The study found that Mon dance typically consists of 12-13 dancing
process. The melodies have 12-13 songs. Piphat Mon (Mon
traditional music ensemble) is used in the performance. Performers
are dressed in Mon traditional costumes. The performers are 6-12
women and depending on the employer’s demands. Length of the
performance varies from the duration of music orchestration. Rituals
and customs performed are paying homage to teachers before the
performance. The offerings are composed of flowers, incense sticks,
candles, money gifts which are well arranged on a tray with pedestal,
and also liquors, tobaccos and pure water for asking propitiousness.
For the use of Mon dance in Pathum Thani Province’s tradition, it is
found that the dance is commonly performed in the funeral
ceremonial tradition at present because the physical postures of the
performance are considered graceful and exquisite. In addition, as for
its value, it has long been believed since the ancient times that Mon
dance was a sacred thing considered as the dignity and glorification
especially for funeral ceremonies of priest or royal hierarchy classes.
However, Mon dance has continued to be used in the traditions
associated with Mon people activities in Pathum Thani Province for
instance customary welcome for honor guest and Songkran festival.
Abstract: Wireless Sensor Networks (WSNs), which sense
environmental data with battery-powered nodes, require multi-hop
communication. This power-demanding task adds an extra workload
that is unfairly distributed across the network. As a result, nodes run
out of battery at different times: this requires an impractical
individual node maintenance scheme. Therefore we investigate a new
Cooperative Sensing approach that extends the WSN operational life
and allows a more practical network maintenance scheme (where all
nodes deplete their batteries almost at the same time). We propose a
novel cooperative algorithm that derives a piecewise representation
of the sensed signal while controlling approximation accuracy.
Simulations show that our algorithm increases WSN operational life
and spreads communication workload evenly. Results convey a
counterintuitive conclusion: distributing workload fairly amongst
nodes may not decrease the network power consumption and yet
extend the WSN operational life. This is achieved as our cooperative
approach decreases the workload of the most burdened cluster in the
network.
Abstract: The use of magnesium alloys is limited due to their
susceptibility to corrosion although they have many attractive
physical and mechanical properties. To increase mechanical and
corrosion properties of these alloys, many deposition method and
coating types are used. Electroless Ni–B coatings have received
considerable interest recently due to its unique properties such as
cost-effectiveness, thickness uniformity, good wear resistance,
lubricity, good ductility and corrosion resistance, excellent
solderability and electrical properties and antibacterial property. In
this study, electroless Ni-B coating could been deposited on AZ91
magnesium alloy. The obtained coating exhibited a harder and
rougher structure than the substrate.
Abstract: In turbulent modern economy, the companies need to
properly manage their business processes. Well-defined and stable
business processes ensure security of crucial data and applications,
and provide a quality product or service to the end customer. On the
other side, constant changes on the market, new regulatory
provisions, and emerging new technologies require the need of
issuing prompt and effective changes of business process. In this
article, we explore the use of agile principles in working with
business process management (BPM) solutions. We deal with
difficulties in BPM development cycle, review the benefits of using
agility, and choose the basic agile principles that ensure the success
of a BPM project.
Abstract: This study was conducted to investigate the
psychological variables motivating sport participation and
involvement among student-athletes of tertiary institutions in southwest
Nigeria. One thousand three hundred and fifty (N-1350) studentathletes
were randomly selected in all sports from nine tertiary
institutions in south-west Nigeria. These tertiary institutions include
University of Lagos, Lagos State University, Obafemi Awolowo
University, Osun State University, University of Ibadan, University
of Agriculture Abeokuta, Federal University of Technology
Akungba, University of Ilorin, and Kwara State University. The
descriptive survey research method was adopted while a self
developed validated Likert type questionnaire named Sport
Participation Scale (SPS) was used to elicit opinion from
respondents. The test-retest reliability value obtained for the
instrument, using Pearson Product Moment Correlation Co-efficient
was 0.96. Out of the one thousand three hundred and fifty (N-1350)
questionnaire administered, only one thousand two hundred and five
(N-1286) were correctly filled, coded and analysed using inferential
statistics of Chi-Square (X2) while all the tested hypotheses were set
at. 05 alpha level. Based on the findings of this study, the result
revealed that several psychological factors influence student athletes
to continue participation in sport one which includes love for the
game, famous athletes as role model and family support. However,
the analysis further revealed that the stipends the student-athletes get
from their universities have no influence on their participation and
involvement in sport.
Abstract: Round addition differential fault analysis using
operation skipping for lightweight block ciphers with on-the-fly key
scheduling is presented. For 64-bit KLEIN, it is shown that only a pair
of correct and faulty ciphertexts can be used to derive the secret master
key. For PRESENT, one correct ciphertext and two faulty ciphertexts
are required to reconstruct the secret key. Furthermore, secret key
extraction is demonstrated for the LBlock Feistel-type lightweight
block cipher.
Abstract: In this paper genetic based test data compression is
targeted for improving the compression ratio and for reducing the
computation time. The genetic algorithm is based on extended pattern
run-length coding. The test set contains a large number of X value
that can be effectively exploited to improve the test data
compression. In this coding method, a reference pattern is set and its
compatibility is checked. For this process, a genetic algorithm is
proposed to reduce the computation time of encoding algorithm. This
coding technique encodes the 2n compatible pattern or the inversely
compatible pattern into a single test data segment or multiple test data
segment. The experimental result shows that the compression ratio
and computation time is reduced.
Abstract: The objective of the paper is a numerical study of heat
transfer between perforated metal plates and the surrounding air
flows. Different perforation structures can nowadays be found in
various industrial products. Besides improving the mechanical
properties, the perforations can intensify the heat transfer as well. The
heat transfer coefficient depends on a wide range of parameters such
as type of perforation, size, shape, flow properties of the surrounding
air etc. The paper was focused on three different perforation
structures which have been investigated from the point of the view of
the production in the previous studies. To determine the heat
coefficients and the Nusselt numbers, the numerical simulation
approach was adopted. The calculations were performed using the
OpenFOAM software. The three-dimensional, unstable, turbulent and
incompressible air flow around the perforated surface metal plate was
considered.
Abstract: NiFe2O4 (nickel ferrite), ZnFe2O4 (zinc ferrite) and
Ni0.5Zn0.5Fe2O4 (nickel-zinc ferrite) were prepared by
mechanochemical route in a planetary ball mill starting from mixture
of the appropriate quantities of the Ni(OH)2/Fe(OH)3,
Zn(OH)2/Fe(OH)3 and Ni(OH)2/Zn(OH)2/Fe(OH)3 hydroxide
powders. In order to monitor the progress of chemical reaction and
confirm phase formation, powder samples obtained after 25 h, 18 h
and 10 h of milling were characterized by X-ray diffraction (XRD),
transmission electron microscopy (TEM), IR, Raman and Mössbauer
spectroscopy. It is shown that the soft mechanochemical method, i.e.
mechanochemical activation of hydroxides, produces high quality
single phase ferrite samples in much more efficient way. From the IR
spectroscopy of single phase samples it is obvious that energy of
modes depends on the ratio of cations. It is obvious that all samples
have more than 5 Raman active modes predicted by group theory in
the normal spinel structure. Deconvolution of measured spectra
allows one to conclude that all complex bands in the spectra are made
of individual peaks with the intensities that vary from spectrum to
spectrum. The deconvolution of Raman spectra allows to separate
contributions of different cations to a particular type of vibration and
to estimate the degree of inversion.
Abstract: This research tested the performance of alternative
warehouse designs concerning the picking process. The chosen
performance measures were Travel Distance and Total Fulfilment
Time. An explanatory case study was built up around a model
implemented with SIMUL8. Hypotheses were set by selecting
outcomes from the literature survey matching popular empirical
findings. 17.4% reductions were found for Total Fulfilment Time and
Resource Utilisation. The latter was then used as a proxy for
operational efficiency. Literal replication of theoretical data-patterns
was considered as an internal validity sign. Assessing the estimated
changes benefits ahead of implementation was found to be a
contribution to practice.
Abstract: Recent investigations have demonstrated the global
sea level rise due to climate change impacts. In this study, climate
changes study the effects of increasing water level in the strait of
Hormuz. The probable changes of sea level rise should be
investigated to employ the adaption strategies. The climatic output
data of a GCM (General Circulation Model) named CGCM3 under
climate change scenario of A1b and A2 were used. Among different
variables simulated by this model, those of maximum correlation
with sea level changes in the study region and least redundancy
among themselves were selected for sea level rise prediction by using
stepwise regression. One of models (Discrete Wavelet artificial
Neural Network) was developed to explore the relationship between
climatic variables and sea level changes. In these models, wavelet
was used to disaggregate the time series of input and output data into
different components and then ANN was used to relate the
disaggregated components of predictors and input parameters to each
other. The results showed in the Shahid Rajae Station for scenario
A1B sea level rise is among 64 to 75 cm and for the A2 Scenario sea
level rise is among 90 t0 105 cm. Furthermore, the result showed a
significant increase of sea level at the study region under climate
change impacts, which should be incorporated in coastal areas
management.