Abstract: Neurons in the nervous system communicate with
each other by producing electrical signals called spikes. To
investigate the physiological function of nervous system it is essential
to study the activity of neurons by detecting and sorting spikes in the
recorded signal. In this paper a method is proposed for considering
the spike sorting problem which is based on the nonlinear modeling
of spikes using exponential autoregressive model. The genetic
algorithm is utilized for model parameter estimation. In this regard
some selected model coefficients are used as features for sorting
purposes. For optimal selection of model coefficients, self-organizing
feature map is used. The results show that modeling of spikes with
nonlinear autoregressive model outperforms its linear counterpart.
Also the extracted features based on the coefficients of exponential
autoregressive model are better than wavelet based extracted features
and get more compact and well-separated clusters. In the case of
spikes different in small-scale structures where principal component
analysis fails to get separated clouds in the feature space, the
proposed method can obtain well-separated cluster which removes
the necessity of applying complex classifiers.
Abstract: The aim of this study is to evaluate the effects of the
laser and partial vibration stimulation on the mice tibia with
morphological characteristics. Twenty female C57BL/6 mice (12
weeks old) were used for the experiment. The study was carried out on
four groups of animals each consisting of five mice. Four groups of
mice were ovariectomized. Animals were scanned at 0 and 2 weeks
after ovariectomy by using micro computed tomography to estimate
morphological characteristics of tibial trabecular bone. Morphological
analysis showed that structural parameters of multi-stimuli group
appear significantly better phase in BV/TV, BS/BV, Tb.Th, Tb.N,
Tb.Sp, and Tb.pf than single stimulation groups. However, single
stimulation groups didn’t show significant effect on tibia with Sham
group. This study suggests that multi-stimuli may restrain the change
as the degenerate phase on osteoporosis in the mice tibia.
Abstract: The legends about “user-friendly” and “easy-to-use”
birotical tools (computer-related office tools) have been spreading
and misleading end-users. This approach has led us to the extremely
high number of incorrect documents, causing serious financial losses
in the creating, modifying, and retrieving processes. Our research
proved that there are at least two sources of this underachievement:
(1) The lack of the definition of the correctly edited, formatted
documents. Consequently, end-users do not know whether their
methods and results are correct or not. They are not aware of their
ignorance. They are so ignorant that their ignorance does not allow
them to realize their lack of knowledge. (2) The end-users’ problem
solving methods. We have found that in non-traditional programming
environments end-users apply, almost exclusively, surface approach
metacognitive methods to carry out their computer related activities,
which are proved less effective than deep approach methods.
Based on these findings we have developed deep approach
methods which are based on and adapted from traditional
programming languages. In this study, we focus on the most popular
type of birotical documents, the text based documents. We have
provided the definition of the correctly edited text, and based on this
definition, adapted the debugging method known in programming.
According to the method, before the realization of text editing, a
thorough debugging of already existing texts and the categorization
of errors are carried out. With this method in advance to real text
editing users learn the requirements of text based documents and also
of the correctly formatted text.
The method has been proved much more effective than the
previously applied surface approach methods. The advantages of the
method are that the real text handling requires much less human and
computer sources than clicking aimlessly in the GUI (Graphical User
Interface), and the data retrieval is much more effective than from
error-prone documents.
Abstract: Diffusion stills have been effective in water
desalination. The present work represents a model of the distillation
process by using vertical single-effect diffusion stills. A semianalytical
model has been developed to model the process. A
software computer code using Engineering Equation Solver EES
software has been developed to solve the equations of the developed
model. An experimental setup has been constructed, and used for the
validation of the model. The model is also validated against former
literature results. The results obtained from the present experimental
test rig, and the data from the literature, have been compared with the
results of the code to find its best range of validity. In addition, a
parametric analysis of the system has been developed using the
model to determine the effect of operating conditions on the system's
performance. The dominant parameters that affect the productivity of
the still are the hot plate temperature that ranges from (55- 90°C) and
feed flow rate in range of (0.00694-0.0211 kg/m2-s).
Abstract: PLA emerged as a promising polymer because of its
property as a compostable, biodegradable thermoplastic made from
renewable sources. PLA can be polymerized from monomers
(Lactide or Lactic acid) obtained by fermentation processes from
renewable sources such as corn starch or sugarcane. For PLA
synthesis, ring opening polymerization (ROP) of Lactide monomer is
one of the preferred methods. In the literature, the technique mainly
developed for ROP of PLA is based on metal/bimetallic catalyst (Sn,
Zn and Al) or other organic catalysts in suitable solvent. However,
the PLA synthesized using such catalysts may contain trace elements
of the catalyst which may cause toxicity. This work estimated the
usefulness and drawbacks of using different catalysts as well as effect
of alternative energies and future aspects for PLA production.
Abstract: Geometric and mechanical properties all influence the
resistance of RC structures and may, in certain combination of
property values, increase the risk of a brittle failure of the whole
system.
This paper presents a statistical and probabilistic investigation on
the resistance of RC beams designed according to Eurocodes 2 and 8,
and subjected to multiple failure modes, under both the natural
variation of material properties and the uncertainty associated with
cross-section and transverse reinforcement geometry. A full
probabilistic model based on JCSS Probabilistic Model Code is
derived. Different beams are studied through material nonlinear
analysis via Monte Carlo simulations. The resistance model is
consistent with Eurocode 2. Both a multivariate statistical evaluation
and the data clustering analysis of outcomes are then performed.
Results show that the ultimate load behaviour of RC beams
subjected to flexural and shear failure modes seems to be mainly
influenced by the combination of the mechanical properties of both
longitudinal reinforcement and stirrups, and the tensile strength of
concrete, of which the latter appears to affect the overall response of
the system in a nonlinear way. The model uncertainty of the
resistance model used in the analysis plays undoubtedly an important
role in interpreting results.
Abstract: The study examined the effect of Bonny Light whole
crude oil (WC) and its water soluble fraction (WSF) on the activities
of antioxidant enzymes (catalase (CAT) and superoxide dismutase
(SOD)) and crude mitochondria ATPases in the radicle of
germinating bean (Vigna unguiculata). The percentage germination,
level of lipid peroxidation, antioxidant enzyme and mitochondria
Ca2+ and Mg2+ ATPase activities were measured in the radicle of
bean after 7, 14 and 21 days post germination. Viable bean seeds
were planted in soils contaminated with 10ml, 25ml and 50ml of
whole crude oil (WC) and its water soluble fraction (WSF) to obtain
2, 5 and 10% v/w crude oil contamination. There was dose dependent
reduction of the number of bean seeds that germinated in the
contaminated soils compared with control (p
Abstract: The concept of urban transformation came about
through interventions aimed at bringing socially and economically
problematic areas of cities into use. The issue of urban transformation
arose frequently during the post-2000 period in particular, and legal
regulations on this matter were also developed in Turkey. Urban
transformation project would be a focal point for the formation of the
city in the near future. Izmir, which is third largest city of Turkey, is
an important trade and port city. But, assessment of the current
situation shows that, the majority of existing residential areas was
formed with squatters and unplanned settlements in Izmir city center.
Therefore an important part of these areas have significant problems
in terms of the quality of life, safety and environmental quality. In
this study, the central policies in Turkey and local policies in Đzmir
about urban transformation will be considered. In addition, urban
renewal projects that are being implemented in Izmir were discussed
and suggestions will be developed in accordance with this policy.
Abstract: Urban areas have been expanded throughout the
globe. Monitoring and modelling urban growth have become a
necessity for a sustainable urban planning and decision making.
Urban prediction models are important tools for analyzing the causes
and consequences of urban land use dynamics. The objective of this
research paper is to analyze and model the urban change, which has
been occurred from 1990 to 2000 using CORINE land cover maps.
The model was developed using drivers of urban changes (such as
road distance, slope, etc.) under an Artificial Neural Network
modelling approach. Validation was achieved using a prediction map
for 2006 which was compared with a real map of Urban Atlas of
2006. The accuracy produced a Kappa index of agreement of 0,639
and a value of Cramer's V of 0,648. These encouraging results
indicate the importance of the developed urban growth prediction
model which using a set of available common biophysical drivers
could serve as a management tool for the assessment of urban
change.
Abstract: The temperature dependence of wettability (wetting
angle, Θ (T)) for Ag-based melts on graphite and Al2O3 substrates is
compared. Typical alloying effects are found, as the Ag host metal is
gradually replaced by various metallic elements. The essence of
alloying lies in the change of the electron/atom (e/a) ratio. This ratio
is also manifested in the shift of wetting angles on the same substrate.
Nevertheless, the effects are partially smeared by other
(metallurgical) factors, like the interaction between the oxygenalloying
elements and by the graphite substrate-oxygen interaction. In
contrast, such effects are not pronounced in the case of Al2O3
substrates. As a consequence, Θ(T) exhibits an opposite trend in the
case of two substrates. Crossovers of the Θ(T) curves were often
found. The positions of crossovers depend on the chemical character
and concentration of solute atoms. Segregation and epitaxial texture
formation after solidification were also observed in certain alloy
drops, especially in high concentration range. This phenomenon is
not yet explained in every detail.
Abstract: Analyzing DNA microarray data sets is a great
challenge, which faces the bioinformaticians due to the complication
of using statistical and machine learning techniques. The challenge
will be doubled if the microarray data sets contain missing data,
which happens regularly because these techniques cannot deal with
missing data. One of the most important data analysis process on
the microarray data set is feature selection. This process finds the
most important genes that affect certain disease. In this paper, we
introduce a technique for imputing the missing data in microarray
data sets while performing feature selection.
Abstract: This review emphasizes the effectiveness of men’s
participation in preventing domestic violence, and whether nonviolent
(NV) boys’ and men’s perceptions of intimate partner
violence (IPV) prevention programs affect their involvement. The
main goals of this assessment were to investigate (1) how NV men
engaged in anti-violence prevention programs that empower women,
(2) what were the possible perceptions of NV men involved in
prevention programs (3) how to identify effective approaches and
strategies that encouraged NV men to become involved in prevention
programs. This critical review also included the overview of
prevention programs such as: The Mentors in Violence Prevention
Programs (MVP), The White Ribbon Campaign (WRC), and
Domestic Violence Prevention Enhancement and Leadership through
Alliances (DELTA). The review suggested that (1) the expanding
prevention programs need to reach more macro settings such as work
place, faith-based and other community based organizations, and (2)
territory prevention programs should expand through addressing the
long-term effects of violence.
Abstract: These days, the field of tissue engineering is getting
serious attention due to its usefulness. Bone tissue engineering helps
to address and sort-out the critical sized and non-healing orthopedic
problems by the creation of manmade bone tissue. We will design
and validate an efficient numerical model, which will simulate the
effective diffusivity in bone tissue engineering. Our numerical model
will be based on the finite element analysis of the diffusion-reaction
equations. It will have the ability to optimize the diffusivity, even
at multi-scale, with the variation of time. It will also have a special
feature “parametric sweep”, with which we will be able to predict
the oxygen, glucose and cell density dynamics, more accurately. We
will fix these problems by modifying the governing equations, by
selecting appropriate spatio-temporal finite element schemes and by
transient analysis.
Abstract: Currently, there is excessively growing information
about places on Facebook, which is the largest social network but
such information is not explicitly organized and ranked. Therefore
users cannot exploit such data to recommend places conveniently and
quickly. This paper proposes a Facebook application and an Android
application that recommend places based on the number of check-ins
of those places, the distance of those places from the current location,
the number of people who like Facebook page of those places, and
the number of talking about of those places. Related Facebook data is
gathered via Facebook API requests. The experimental results of the
developed applications show that the applications can recommend
places and rank interesting places from the most to the least. We have
found that the average satisfied score of the proposed Facebook
application is 4.8 out of 5. The users’ satisfaction can increase by
adding the app features that support personalization in terms of
interests and preferences.
Abstract: Since columns are the most important elements of the
structures, failure of one column in a critical location can cause a
progressive collapse. In this respect, the repair and strengthening of
columns is a very important subject to reduce the building failure and
to keep the columns capacity. Twenty columns with different
parameters is tested and analysis. Eleven typical confined reinforced
concrete (RC) columns with different types of techniques are
assessment. And also, four confined concrete columns with plastic
tube (PVC) are tested with and with four paralleling tested of
unconfined plain concrete. The techniques of confined RC columns
are mortar strengthening, Steel rings strengthening, FRP
strengthening. Moreover, the technique of confined plain concrete
(PC) column is used PVC tubes. The columns are tested under
uniaxial compressive loads studied the effect of confinement on the
structural behavior of circular RC columns. Test results for each
column are presented in the form of crack patterns, stress-strain
curves. Test results show that confining of the RC columns using
different techniques of strengthening results significant improvement
of the general behavior of the columns and can used in construction.
And also, tested confined PC columns with PVC tubes results shown
that the confined PC with PVC tubes can be used in economical
building. The theoretical model for predicted column capacity is
founded with experimental factor depends on the confined techniques
used and the strain reduction.
Abstract: Stator elements «Vane diffuser + crossover + return
channel» of stages with different specific speed were investigated by
CFD calculations. The regime parameter was introduced to present
efficiency and loss coefficient performance of all elements together.
Flow structure demonstrated advantages and disadvantages of design.
Flow separation in crossovers was eliminated by its shape
modification. Efficiency increased visibly. Calculated CFD
performances are in acceptable correlation with predicted ones by
engineering design method. The information obtained is useful for
design method better calibration.
Abstract: A compact UWB planar antenna fed with a
microstrip-line is proposed. The new design consist of a rectangular
patch with symmetric l-shaped slots and fed by 50 Ω microstrip
transmission line and a reduced ground-plane which have a periodic
slots with an overall size of 47 mm x 20 mm. It is intended to be used
in wireless applications that cover the ultra-wideband (UWB)
frequency band. A wider impedance bandwidth of around 116.5%
(1.875 – 7.115 GHz) with stable radiation pattern is achieved. The
proposed antenna has excellent characteristics, low profile and costeffective
compared to existing UWB antennas. The UWB antenna is
designed and analyzed using CST Microwave Studio in transient
mode to verify antenna parameters improvements.
Abstract: Waste silicon carbide (waste SiC) filled high-density
polyethylene (HDPE) with and without surface modifiers were
studied. Two types of surface modifiers namely; high-density
polyethylene-grafted-maleic anhydride (HDPE-g-MA) and 3-aminopropyltriethoxysilane have been used in this study. The
composites were produced using a two roll mill, extruder and shaped
in a hydraulic compression molding machine. The mechanical
properties of polymer composites such as flexural strength and
modulus, impact strength, tensile strength, stiffness and hardness
were investigated over a range of compositions. It was found that,
flexural strength and modulus, tensile modulus and hardness
increased, whereas impact strength and tensile strength decreased
with the increasing in filler contents, compared to the neat HDPE. At
similar filler content, the effect of both surface modifiers increased
flexural modulus, impact strength, tensile strength and stiffness but
reduced the flexural strength. Morphological investigation using
SEM revealed that the improvement in mechanical properties was
due to enhancement of the interfacial adhesion between waste SiC
and HDPE.
Abstract: Logistics processes of perishable food in the supply
chain include the distribution activities and the real time temperature
monitoring to fulfil the cold chain requirements. The paper presents
the use of RFID (Radio Frequency Identification) technology as an
identification tool of receiving and shipping activities in the cold
store. At the same time, the use of RFID data loggers with
temperature sensors is presented to observe and store the
temperatures for the purpose of analyzing the processes and having
the history data available for traceability purposes and efficient recall
management.
Abstract: A knowledge-based expert system with the acronym
RASPE is developed as an application tool to help decision makers in
construction companies make informed decisions about managing
risks in pipeline construction projects. Choosing to use expert
systems from all available artificial intelligence techniques is due to
the fact that an expert system is more suited to representing a
domain’s knowledge and the reasoning behind domain-specific
decisions. The knowledge-based expert system can capture the
knowledge in the form of conditional rules which represent various
project scenarios and potential risk mitigation/response actions. The
built knowledge in RASPE is utilized through the underlying
inference engine that allows the firing of rules relevant to a project
scenario into consideration. Paper provides an overview of the
knowledge acquisition process and goes about describing the
knowledge structure which is divided up into four major modules.
The paper shows one module in full detail for illustration purposes
and concludes with insightful remarks.