Abstract: Egg yolk oil is a natural source of bioactive
compounds such as unsaturated fatty acids, oil soluble vitamins,
pigments and others. Bioactive compound content in egg yolk oil
depends from its content in eggs, from which oil was extracted. Many
studies show that bioactive compound content in egg is correlated to
the content of these compounds in hen feed, but there is also an
opinion that hen housing systems also have influence on egg
chemical content. The aim of this study was to determine which
factor, laying hen housing system or hen diet, has a primary influence
on bioactive compound content in egg yolk oil. The egg yolk oil was
extracted from eggs obtained from 4 different hen housing systems:
cage, barn and two groups of free range. All hens were fed with
commercially produced compound feed except one group of free
range hens which get free diet – pastured hens. Extracted egg yolk
oils were analyzed for fatty acids, oil soluble vitamins and β-carotene
content. α-tocopherol, ergocalcipherol and polyunsaturated fatty acid
content in egg yolk oil was higher from eggs obtained from all
housing systems where hens were fed with commercial compound
feed. β-carotene and retinol content in egg yolk oils from free range
free diet eggs was significantly (p>0.05) higher that from other eggs
because hens have access to green forage. Hen physical activity in
free range housing systems decreases content of some bioactive
compound in egg yolk oil.
Abstract: Image compression based on fractal coding is a lossy
compression method and normally used for gray level images range
and domain blocks in rectangular shape. Fractal based digital image
compression technique provide a large compression ratio and in this
paper, it is proposed using YUV colour space and the fractal theory
which is based on iterated transformation. Fractal geometry is mainly
applied in the current study towards colour image compression
coding. These colour images possesses correlations among the colour
components and hence high compression ratio can be achieved by
exploiting all these redundancies. The proposed method utilises the
self-similarity in the colour image as well as the cross-correlations
between them. Experimental results show that the greater
compression ratio can be achieved with large domain blocks but more
trade off in image quality is good to acceptable at less than 1 bit per
pixel.
Abstract: Behavioral aspects of experience such as will power
are rarely subjected to quantitative study owing to the numerous
complexities involved. Will is a phenomenon that has puzzled
humanity for a long time. It is a belief that will power of an individual
affects the success achieved by them in life. It is also thought that a
person endowed with great will power can overcome even the most
crippling setbacks in life while a person with a weak will cannot make
the most of life even the greatest assets. This study is an attempt
to subject the phenomena of will to the test of an artificial neural
network through a computational model. The claim being tested is
that will power of an individual largely determines success achieved
in life. It is proposed that data pertaining to success of individuals
be obtained from an experiment and the phenomenon of will be
incorporated into the model, through data generated recursively using
a relation between will and success characteristic to the model.
An artificial neural network trained using part of the data, could
subsequently be used to make predictions regarding data points in
the rest of the model. The procedure would be tried for different
models and the model where the networks predictions are found to
be in greatest agreement with the data would be selected; and used
for studying the relation between success and will.
Abstract: The research of juice flavor forecasting has become
more important in China. Due to the fast economic growth in China,
many different kinds of juices have been introduced to the market. If a
beverage company can understand their customers’ preference well,
the juice can be served more attractive. Thus, this study intends to
introducing the basic theory and computing process of grapes juice
flavor forecasting based on support vector regression (SVR). Applying
SVR, BPN, and LR to forecast the flavor of grapes juice in real data
shows that SVR is more suitable and effective at predicting
performance.
Abstract: The past two decades, Thailand faced the natural
disasters, for instance, Gay typhoon in 1989, tsunami in 2004, and
huge flood in 2011. The disaster management in Thailand was
improved both structure and mechanism for cope with the natural
disaster since 2007. However, the natural disaster management in
Thailand has various problems, for examples, cooperation between
related an organizations have not unity, inadequate resources, the
natural disaster management of public sectors not proactive, people
has not awareness the risk of the natural disaster, and communities
did not participate in the natural disaster management.
Objective of this study is to find the methods for capacity building
in the natural disaster management of Thailand. The concept and
information about the capacity building and the natural disaster
management of Thailand were reviewed and analyzed by classifying
and organizing data. The result found that the methods for capacity
building in the natural disaster management of Thailand should be
consist of 1) link operation and information in the natural disaster
management between nation, province, local and community levels,
2) enhance competency and resources of public sectors which relate
to the natural disaster management, 3) establish proactive natural
disaster management both planning and implementation, 4)
decentralize the natural disaster management to local government
organizations, 5) construct public awareness in the natural disaster
management to community, 6) support Community Based Disaster
Risk Management (CBDRM) seriously, and 7) emphasis on
participation in the natural disaster management of all stakeholders.
Abstract: Breast cancer is considered as a substantial health
concern and practicing mammography screening [MS] is important in
minimizing its related morbidity. So it is essential to have a better
understanding of breast cancer screening behaviors of women and
factors that influence utilization of them. The aim of this study is to
identify the factors that are linked to MS behaviors among the
Egyptian women. A cross-sectional descriptive design was carried
out to provide a snapshot of the factors that are linked to MS
behaviors. A convenience sample of 311 women was utilized and all
eligible participants admitted to the Women Imaging Unit who are 40
years of age or above, coming for mammography assessment, not
pregnant or breast feeding and who accepted to participate in the
study were included. A structured questionnaire was developed by
the researchers and contains three parts; Socio-demographic data;
Motivating factors associated with MS; and association between MS
and model of behavior change. The analyzed data indicated that most
of the participated women (66.6%) belonged to the age group of 40-
49.A high proportion of participants (58.1%) of group having
previous MS influenced by their neighbors to practice MS, whereas
32.7 % in group not having previous MS were influenced by family
members which indicated significant differences (P
Abstract: Ulexite (Na2O.2CaO.5B2O3.16H2O) is boron mineral
that is found in large quantities in the Turkey and world. In this
study, the dissolution of this mineral in the disodium hydrogen
phosphate solutions has been studied. Temperature, concentration,
stirring speed, solid liquid ratio and particle size were selected as
parameters. The experimental results were successfully correlated by
linear regression using Statistica program. Dissolution curves were
evaluated shrinking core models for solid-fluid systems. It was
observed that increase in the reaction temperature and decrease in the
solid/liquid ratio causes an increase the dissolution rate of ulexite.
The activation energy was found to be 63.4 kJ/mol. The leaching of
ulexite was controlled by chemical reaction.
Abstract: In the present work, Electrochemical Impedance
Spectrocopy (EIS) is applied to study the transport of different metal
cations through a cation-exchange membrane. This technique enables
the identification of the ionic-transport characteristics and to
distinguish between different transport mechanisms occurring at
different current density ranges. The impedance spectra are
dependent on the applied dc current density, on the type of cation and
on the concentration.
When the applied dc current density increases, the diameter of the
impedance spectra loops increases because all the components of
membrane system resistance increase. The diameter of the impedance
plots decreases in the order of Na(I), Ni(II) and Cr(III) due to the
increased interactions between the negatively charged sulfonic
groups of the membrane and the cations with greater charge. Nyquist
plots are shifted towards lower values of the real impedance, and its
diameter decreases with the increase of concentration due to the
decrease of the solution resistance.
Abstract: A central element of higher education today is the
“core” or “general education” curriculum: that configuration of
courses that often encompasses the essence of liberal arts education.
Ensuring that such offerings reflect the mission and values of the
institution is a challenge faced by most college and universities, often
more than once. This paper presents an action model of program
planning designed to structure the processes of developing,
implementing and revising core curricula in a manner consistent with
key institutional goals and objectives. Through presentation of a case
study from a university in the United States, the elements of needs
assessment, stakeholder investment and collaborative compromise
are shown as key components of a planning strategy that can produce
a general education program that is comprehensive, academically
rigorous, assessable, and mission consistent. The paper concludes
with recommendations for both the implementation and evaluation of
such programs in practice.
Abstract: This paper is part of a study to develop robots for
farming. As such power requirement to operate equipment attach to
such robots become an important factor. Soil-tool interaction plays
major role in power consumption, thus predicting accurately the
forces which act on the blade during the farming is very important for
optimal designing of farm equipment. In this paper, a finite element
investigation for tillage tools and soil interaction is described by
using an inelastic constitutive material law for agriculture
application. A 3-dimensional (3D) nonlinear finite element analysis
(FEA) is developed to examine behavior of a blade with different
rake angles moving in a block of soil, and to estimate the blade force.
The soil model considered is an elastic-plastic with non-associated
Drucker-Prager material model. Special use of contact elements are
employed to consider connection between soil-blade and soil-soil
surfaces. The FEA results are compared with experimental ones,
which show good agreement in accurately predicting draft forces
developed on the blade when it moves through the soil. Also a very
good correlation was obtained between FEA results and analytical
results from classical soil mechanics theories for straight blades.
These comparisons verified the FEA model developed. For analyzing
complicated soil-tool interactions and for optimum design of blades,
this method will be useful.
Abstract: Indonesian higher education has experienced
significant changes over the last decade. In 1999, the government
published an overall strategy for decentralisation and enhancement of
local autonomy in many sectors, including (higher) education.
Indonesian higher education reforms have forced universities to
restructure their internal university governance to become more
entrepreneurial. These new types of internal university governance
are likely to affect the institutions’ leadership and management. This
paper discusses the approach and findings of a study on the
managerial leadership styles of deans in Indonesian universities. The
study aims to get a better understanding of styles exhibited by deans
manifested in their behaviours. Using the theories of reasoned action
and planned behaviour, in combination with the competing values
framework, a large-scale survey was conducted to gather information
on the deans’ behaviours, attitudes, subjective norms, and perceived
behavioural control. Based on the responses of a sample of 218
deans, the study identifies a number of leadership styles: the Master,
the Competitive Consultant, the Consensual Goal-Setter, the Focused
Team Captain, and the Informed Trust-Builder style. The study
demonstrates that attitudes are the primary determinant of the styles
that were found. Perceived behavioural control is a factor that
explains some managerial leadership styles. By understanding the
attitudes of deans in Indonesian universities, and their leadership
styles, universities can strengthen their management and governance,
and thus improve their effectiveness.
Abstract: In the past few years, the amount of malicious software
increased exponentially and, therefore, machine learning algorithms
became instrumental in identifying clean and malware files through
(semi)-automated classification. When working with very large
datasets, the major challenge is to reach both a very high malware
detection rate and a very low false positive rate. Another challenge
is to minimize the time needed for the machine learning algorithm to
do so. This paper presents a comparative study between different
machine learning techniques such as linear classifiers, ensembles,
decision trees or various hybrids thereof. The training dataset consists
of approximately 2 million clean files and 200.000 infected files,
which is a realistic quantitative mixture. The paper investigates the
above mentioned methods with respect to both their performance
(detection rate and false positive rate) and their practicability.
Abstract: Proposed paper dealt with the modelling and analysis of induction motor based on the mathematical expression using the graphical programming environment of Laboratory Virtual Instrument Engineering Workbench (LabVIEW). Induction motor modelling with the mathematical expression enables the motor to be simulated with the various required parameters. Owing to the invention of variable speed drives study about the induction motor characteristics became complex. In this simulation motor internal parameter such as stator resistance and reactance, rotor resistance and reactance, phase voltage, frequency and losses will be given as input. By varying the speed of motor corresponding parameters can be obtained they are input power, output power, efficiency, torque induced, slip and current.
Abstract: A total of 115 yeast strains isolated from local cassava
processing wastes were measured for crude protein content. Among
these strains, the strain MSY-2 possessed the highest protein
concentration (>3.5 mg protein/mL). By using molecular
identification tools, it was identified to be a strain of Pichia
kudriavzevii based on similarity of D1/D2 domain of 26S rDNA
region. In this study, to optimize the protein production by MSY-2
strain, Response Surface Methodology (RSM) was applied. The
tested parameters were the carbon content, nitrogen content, and
incubation time. Here, the value of regression coefficient (R2) =
0.7194 could be explained by the model which is high to support the
significance of the model. Under the optimal condition, the protein
content was produced up to 3.77 g per L of the culture and MSY-2
strain contains 66.8 g protein per 100 g of cell dry weight. These
results revealed the plausibility of applying the novel strain of yeast
in single-cell protein production.
Abstract: The first part of the paper analyzes the dynamics of
the total fertility rate both at the national and regional level, pointing
out the regional disparities in the distribution of this indicator. At the
same time, we also focus on the collapse of the number of live births,
on the changes in the fertility rate by birth rank, as well as on the
failure of acquiring the desired number of children. The second part
of the study centres upon a survey applied to urban families with 3
and more than 3 offspring. The preliminary analysis highlights the
fact that an increased fertility (more than 3rd rank) is triggered by the
parents’ above the average material condition and superior education.
The current situation of Romania, which is still passing through a
period of relatively rapid demographic changes, marked by numerous
convulsions, requires a new approach, in compliance with the recent
interpretations appropriate to a new post-transitional demographic
regime.
Abstract: We proposed a Hyperbolic Gompertz Growth Model
(HGGM), which was developed by introducing a shape parameter
(allometric). This was achieved by convoluting hyperbolic sine
function on the intrinsic rate of growth in the classical gompertz
growth equation. The resulting integral solution obtained
deterministically was reprogrammed into a statistical model and used
in modeling the height and diameter of Pines (Pinus caribaea). Its
ability in model prediction was compared with the classical gompertz
growth model, an approach which mimicked the natural variability of
height/diameter increment with respect to age and therefore provides
a more realistic height/diameter predictions using goodness of fit
tests and model selection criteria. The Kolmogorov Smirnov test and
Shapiro-Wilk test was also used to test the compliance of the error
term to normality assumptions while the independence of the error
term was confirmed using the runs test. The mean function of top
height/Dbh over age using the two models under study predicted
closely the observed values of top height/Dbh in the hyperbolic
gompertz growth models better than the source model (classical
gompertz growth model) while the results of R2, Adj. R2, MSE and
AIC confirmed the predictive power of the Hyperbolic Gompertz
growth models over its source model.
Abstract: The aims of this study were to determine the factor
structure and psychometric properties (i.e., reliability and convergent
validity) of the Malaysian Multi-Ethnic Discrimination Scale
(MMEDS). It consists of 71-items measure experience, strategies
used and consequences of ethnic discrimination. A sample of 649
university students from one of the higher education institution in
Malaysia was asked to complete MMEDS, as well as Perceived
Ethnic and Racial Discrimination. The exploratory factor analysis on
ethnic discrimination experience extracted two factors labeled ‘unfair
treatment’ (15 items) and ‘Denial of the ethnic right’ (12 items)
which accounted for 60.92% of the total variance. The two sub scales
demonstrated clear reliability with internal consistency above .70.
The convergent validity of the Scale was supported by an expected
pattern of correlations (positive and significant correlation) between
the score of unfair treatment and denial of the ethnic right and the
score of Perceived Ethnic and Racial Discrimination by Peers Scale.
The results suggest that the MMEDS is a reliable and valid measure.
However, further studies need to be carried out in other groups of
sample as to validate the Scale.
Abstract: The emerging markets of post-USSR countries have
attracted Western multinational companies; however, weak
institutions and unstable host country environments have hindered the
implementation of successful management practices. The Ukrainian
market, in light of recent events, is particularly interesting to study
for its compatibility with Western businesses. This paper focuses on
factors that can facilitate or inhibit the transfer of human resource
management practices from Western headquarters to Ukrainian
subsidiaries. To explain the national context’s effects better, a
business systems approach has been applied to a qualitative study of
16 wholly owned Western subsidiaries, dissecting the reasons for a
weak integration of Western practices in Ukraine. Results show that
underdeveloped institutions have forced companies to develop
additional practices that compensate for national weaknesses, as well
as to adjust to a constantly changing environment. Flexibility and
local responsiveness were observed as vital for success in Ukraine.
Abstract: The purpose of the paper is to examine the most
critical and important factor which will affect the implementation of
Total Quality Management (TQM) in the construction industry in the
United Arab Emirates. It also examines the most effected Project
outcome from implementing TQM. A framework was also proposed
depending on the literature studies. The method used in this paper is a
quantitative study. A survey with a sample of 60 respondents was
created and distributed in a construction company in Abu Dhabi,
which includes 15 questions to examine the most critical factor that
will affect the implementation of TQM in addition to the most
effected project outcome from implementing TQM. The survey
showed that management commitment is the most important factor in
implementing TQM in a construction company. Also it showed that
Project cost is most effected outcome from the implementation of
TQM.
Management commitment is very important for implementing
TQM in any company. If the management loose interest in quality
then everyone in the organization will do so. The success of TQM
will depend mostly on the top of the pyramid. Also cost is reduced
and money is saved when the project team implement TQM. While if
no quality measures are present within the team, the project will
suffer a commercial failure.
Based on literature, more factors can be examined and added to
the model. In addition, more construction companies could be
surveyed in order to obtain more accurate results. Also this study
could be conducted outside the United Arab Emirates for further
enchantment.
Abstract: This study is about the structural transformations of
aluminium examining with the Dynamic Mechanical Thermal
Analyzer (DMTA). It is a faster and simpler measuring method to
make consequence about the metal’s structural transformations. The
device measures the changing of the mechanical characteristics
depending on the heating rate, and concludes certain transformations.
This measuring method fast and shows clean-cut results comparing
the conventional ways.
Applying polymer measuring devices for metal investigations is
not widespread method. One of the adaptable ways is shown in this
study. The article compares the results of the small specimen test and
the DMTA method, considering the temperature and the forming
dependence of recrystallization temperature.