Abstract: Phonocardiography is important in appraisal of
congenital heart disease and pulmonary hypertension as it reflects the
duration of right ventricular systoles. The systolic murmur in patients
with intra-cardiac shunt decreases as pulmonary hypertension
develops and may eventually disappear completely as the pulmonary
pressure reaches systemic level. Phonocardiography and auscultation
are non-invasive, low-cost, and accurate methods to assess heart
disease. In this work an objective signal processing tool to extract
information from phonocardiography signal using Wavelet is
proposed to classify the murmur as normal or abnormal. Since the
feature vector is large, a Binary Particle Swarm Optimization (PSO)
with mutation for feature selection is proposed. The extracted
features improve the classification accuracy and were tested across
various classifiers including Naïve Bayes, kNN, C4.5, and SVM.
Abstract: Optic disk segmentation plays a key role in the mass
screening of individuals with diabetic retinopathy and glaucoma
ailments. An efficient hardware-based algorithm for optic disk
localization and segmentation would aid for developing an automated
retinal image analysis system for real time applications. Herein,
TMS320C6416DSK DSP board pixel intensity based fractal analysis
algorithm for an automatic localization and segmentation of the optic
disk is reported. The experiment has been performed on color and
fluorescent angiography retinal fundus images. Initially, the images
were pre-processed to reduce the noise and enhance the quality. The
retinal vascular tree of the image was then extracted using canny
edge detection technique. Finally, a pixel intensity based fractal
analysis is performed to segment the optic disk by tracing the origin
of the vascular tree. The proposed method is examined on three
publicly available data sets of the retinal image and also with the data
set obtained from an eye clinic. The average accuracy achieved is
96.2%. To the best of the knowledge, this is the first work reporting
the use of TMS320C6416DSK DSP board and pixel intensity based
fractal analysis algorithm for an automatic localization and
segmentation of the optic disk. This will pave the way for developing
devices for detection of retinal diseases in the future.
Abstract: Neuroplasticity or the flexibility of the neural system
is the ability of the brain to adapt to the lack or deterioration of sense
and the capability of the neural system to modify itself through
changing shape and function. Not only have studies revealed that
neuroplasticity does not end in childhood, but also they have proven
that it continues till the end of life and is not limited to the neural
system and covers the cognitive system as well. In the field of
cognition, neuroplasticity is defined as the ability to change old
thoughts according to new conditions and the individuals' differences
in using various styles of cognitive regulation inducing several social,
emotional and cognitive outcomes. This paper attempts to discuss and
define major theories and principles of neuroplasticity and elaborate
on nature or nurture.
Abstract: Interaction of Schiff base complexes of Iron and
Manganese: Iron [N, N’ Bis (5- (triphenyl phosphonium methyl)
salicylidene) -1, 2 ethanediamine) chloride, [Fe Salen]Cl; Manganese
[N, N’ Bis (5- (triphenyl phosphonium methyl) salicylidene) -1, 2
ethanediamine) acetate, were investigated by spectroscopic and
isothermal titration calorimetry techniques (ITC).
The absorbance spectra of complexes have shown hyper and
hypochromism in the presence of DNA that is indication of
interaction of complexes with DNA. The linear dichroism (LD)
measurements confirmed the bending of DNA in the presence of
complexes.
Furthermore, Isothermal titration calorimetry experiments
approved that complexes bound to DNA on the base of both
electrostatic and hydrophobic interactions. More, ITC profile exhibits
the existence of two binding phases for the complexes. Antibacterial
activity of ligand and complexes were tested in vitro to evaluate their
activity against the gram positive and negative bacteria.
Abstract: Epidermal Growth Factor (EGF, Mw=6,045) has been
reported to have high efficiency of wound repair and anti-wrinkle
effect. However, the half-life of EGF in the body is too short to exert
the biological activity effectively when applied in free form. Growth
Factors can be stabilized by immobilization with carbohydrates from
thermal and proteolytic degradation. Low molecular weight chitosan
(LMCS) and its derivate prepared by hydrogen peroxide has high
solubility. LM6A6DC was successfully prepared as a reactive
carbohydrate for the stabilization of EGF by the reactions of LMCS
with alkalization, tosylation, azidation and reduction. The structure of
LM6A6DC was confirmed by FT-IR, 1H NMR and elementary
analysis. For enhancing the stability of free EGF, EGF was attached
with LM6A6DC by using water-soluble carbodiimide.
EGF-LM6A6DC conjugates did not show any cytotoxicity on the
Normal Human Dermal Fibroblast (NHDF) 3T3 proliferation at least
under 100 μg/ml. In the result, it was considered that LM6A6DC is
suitable to immobilize of growth factor.
Abstract: Quantification of cardiac function is performed by
calculating blood volume and ejection fraction in routine clinical
practice. However, these works have been performed by manual
contouring, which requires computational costs and varies on the
observer. In this paper, an automatic left ventricle segmentation
algorithm on cardiac magnetic resonance images (MRI) is presented.
Using knowledge on cardiac MRI, a K-mean clustering technique is
applied to segment blood region on a coil-sensitivity corrected image.
Then, a graph searching technique is used to correct segmentation
errors from coil distortion and noises. Finally, blood volume and
ejection fraction are calculated. Using cardiac MRI from 15 subjects,
the presented algorithm is tested and compared with manual
contouring by experts to show outstanding performance.
Abstract: This study aims to analyze ceramic employees’
occupational health and safety training expectations. To that general
objective, the study tries to examine whether occupational health and
safety training expectations of ceramic employees meaningfully
differentiate depending on demographic features and professional,
social and economic conditions. For this purpose, a questionnaire was
developed by the researcher. The research data were collected
through this questionnaire called “Questionnaire of Occupational
Health and Safety Training Expectation” (QSOHSTE). QSOHSTE
was applied to 125 ceramic employees working in Kütahya, Turkey.
Data obtained from questionnaire were analyzed via SPSS 21.
The findings, obtained from the study, revealed that employees’
agreement level to occupational health and safety training expectation
statements is generally high-level. The findings reveal that employees
expect professional interest such as increased development and
investment, preventive measures for accidents, interventions to
evaluate the working conditions, establishment of safe working
environments and sustainment of adequate equipment for
occupational health and safety training process.
Besides these findings, employees’ agreement level to
occupational health and safety training expectation statements also
varies in terms of educational level, professional seniority, income
level and perception of economic condition.
Abstract: This experimental study evaluates the effect of using
Cognitive-Behavioral Therapy (CBT) and Multidimensional Self-
Concept Model (MSCM) in a drug prevention programme to increase
resiliency and reduce aggression among at-risk youth in Malaysia. A
number of 60 (N=60) university students who were at-risk of taking
drugs were involved in this study. Participants were identified with
self-rating scales, Adolescent Resilience Attitude Scale (ARAS) and
Aggression Questionnaire. Based on the mean score of these
instruments, the participants were divided into the treatment group,
and the control group. Data were analyzed using t-test. The finding
showed that the mean score of resiliency was increased in the
treatment group compared to the control group. It also shows that the
mean score of aggression was reduced in the treatment group
compared to the control group. Drug Prevention Programme was
found to help in enhancing resiliency and reducing aggression among
participants in the treatment group compared to the controlled group.
Implications were given regarding the preventive actions on drug
abuse among youth in Malaysia.
Abstract: The aim of this work is to build a model based on
tissue characterization that is able to discriminate pathological and
non-pathological regions from three-phasic CT images. With our
research and based on a feature selection in different phases, we are
trying to design a neural network system with an optimal neuron
number in a hidden layer. Our approach consists of three steps:
feature selection, feature reduction, and classification. For each
region of interest (ROI), 6 distinct sets of texture features are
extracted such as: first order histogram parameters, absolute gradient,
run-length matrix, co-occurrence matrix, autoregressive model, and
wavelet, for a total of 270 texture features. When analyzing more
phases, we show that the injection of liquid cause changes to the high
relevant features in each region. Our results demonstrate that for
detecting HCC tumor phase 3 is the best one in most of the features
that we apply to the classification algorithm. The percentage of
detection between pathology and healthy classes, according to our
method, relates to first order histogram parameters with accuracy of
85% in phase 1, 95% in phase 2, and 95% in phase 3.
Abstract: Development of a method to estimate gene functions is
an important task in bioinformatics. One of the approaches for the
annotation is the identification of the metabolic pathway that genes are
involved in. Since gene expression data reflect various intracellular
phenomena, those data are considered to be related with genes’
functions. However, it has been difficult to estimate the gene function
with high accuracy. It is considered that the low accuracy of the
estimation is caused by the difficulty of accurately measuring a gene
expression. Even though they are measured under the same condition,
the gene expressions will vary usually. In this study, we proposed a
feature extraction method focusing on the variability of gene
expressions to estimate the genes' metabolic pathway accurately. First,
we estimated the distribution of each gene expression from replicate
data. Next, we calculated the similarity between all gene pairs by KL
divergence, which is a method for calculating the similarity between
distributions. Finally, we utilized the similarity vectors as feature
vectors and trained the multiclass SVM for identifying the genes'
metabolic pathway. To evaluate our developed method, we applied the
method to budding yeast and trained the multiclass SVM for
identifying the seven metabolic pathways. As a result, the accuracy
that calculated by our developed method was higher than the one that
calculated from the raw gene expression data. Thus, our developed
method combined with KL divergence is useful for identifying the
genes' metabolic pathway.
Abstract: Human leukocyte antigen (HLA) typing from next
generation sequencing (NGS) data has the potential for applications in
clinical laboratories and population genetic studies. Here we introduce
a novel technique for HLA typing from NGS data based on
read-mapping using a comprehensive reference panel containing all
known HLA alleles and de novo assembly of the gene-specific short
reads. An accurate HLA typing at high-digit resolution was achieved
when it was tested on publicly available NGS data, outperforming
other newly-developed tools such as HLAminer and PHLAT.
Abstract: The objective of this study was to assess whether
living in proximity to a roofing fiber cement factory in southern
Thailand was associated with physical, mental, social, and spiritual
health domains measured in a self-reported health risk assessment
(HRA) questionnaire. A cross-sectional study was conducted among
community members divided into two groups: near population (living
within 0-2km of factory) and far population (living within 2-5km of
factory) (N=198). A greater proportion of those living far from the
factory (65.34%) reported physical health problems than the near
group (51.04%) (p =0.032). This study has demonstrated that the near
population group had higher proportion of participants with positive
ratings on mental assessment (30.34%) and social health impacts
(28.42%) than far population group (10.59% and 16.67%,
respectively) (p
Abstract: Total hip replacement had been one of the most
successful operations in hip arthritis surgery. The purpose of this
research had been to develop a dynamic hip contact of Thai femoral
bone to analyze the stress distribution on the implant and the strain
distribution on the bone model under daily activities and compared
with the static load simulation. The results showed the different of
maximum von Mises stress 0.14 percent under walking and 0.03
percent under climbing stair condition and the different of equivalent
total strain 0.52 percent under walking and 0.05 percent under
climbing stair condition. The muscular forces should be evaluated
with dynamic condition to reduce the maximum von Mises stress and
equivalent total strain.
Abstract: The pullout strength had an effect on the stability of
plate screw fixation when inserted in the cervical spine. Nine
different titanium alloy bone screws were used to test the pullout
strength through finite element analysis. The result showed that the
Moss Miami I can bear the highest pullout force at 1,075 N, which
causes the maximum von Mises stress at 858.87 MPa, a value over
the yield strength of titanium. The bone screw should have large
outer diameter, core diameter and proximal root radius to increase the
pullout strength.
Abstract: The development of Drugs Delivery System (DDS)
has been widely investigated in the last decades. In this paper, first a
general overview of traditional and modern wound dressing is
presented. This is followed by a review of what scientists have done
in the medical environment, focusing on the possibility to develop a
new alternative for DDS through transdermal pathway, aiming to
treat melanoma skin cancer.
Abstract: Near-infrared spectroscopy (NIRS) has been widely
used as a non-invasive method to measure brain activity, but it is
corrupted by baseline drift noise. Here we present a method to measure
regional cerebral blood flow as a derivative of NIRS output. We
investigate whether, when listening to languages, blood flow can
reasonably localize and represent regional brain activity or not. The
prefrontal blood flow distribution pattern when advanced
second-language listeners listened to a second language (L2) was most
similar to that when listening to their first language (L1) among the
patterns of mean and standard deviation. In experiments with 25
healthy subjects, the maximum blood flow was localized to the left
BA46 of advanced listeners. The blood flow presented is robust to
baseline drift and stably localizes regional brain activity.
Abstract: Although, arsenic trioxide has been the subject of
toxicological research, in vitro cytotoxicity and genotoxicity studies
using relevant cell models and uniform methodology are not well
elucidated. Hence, the aim of the present study was to evaluate the
cytotoxicity and genotoxicity induced by arsenic trioxide in human
keratinocytes (HaCaT) using the MTT [3-(4, 5-dimethylthiazol-2-yl)-
2,5-diphenyltetrazolium bromide] and alkaline single cell gel
electrophoresis (Comet) assays, respectively. Human keratinocytes
were treated with different doses of arsenic trioxide for 4 h prior to
cytogenetic assessment. Data obtained from the MTT assay indicated
that arsenic trioxide significantly reduced the viability of HaCaT cells
in a dose-dependent manner, showing an IC50 value of 34.18 ± 0.6
μM. Data generated from the comet assay also indicated a significant
dose-dependent increase in DNA damage in HaCaT cells associated
with arsenic trioxide exposure. We observed a significant increase in
comet tail length and tail moment, showing an evidence of arsenic
trioxide -induced genotoxic damage in HaCaT cells. This study
confirms that the comet assay is a sensitive and effective method to
detect DNA damage caused by arsenic.
Abstract: Advanced head and neck cancers are aggressive
tumours, which require aggressive treatment. Treatment efficiency is
often hindered by cancer cell repopulation during radiotherapy,
which is due to various mechanisms triggered by the loss of tumour
cells and involves both stem and differentiated cells. The aim of the
current paper is to present in silico simulations of radiotherapy
schedules on a virtual head and neck tumour grown with biologically
realistic kinetic parameters. Using the linear quadratic formalism of
cell survival after radiotherapy, altered fractionation schedules
employing various treatment breaks for normal tissue recovery are
simulated and repopulation mechanism implemented in order to
evaluate the impact of various cancer cell contribution on tumour
behaviour during irradiation. The model has shown that the timing of
treatment breaks is an important factor influencing tumour control in
rapidly proliferating tissues such as squamous cell carcinomas of the
head and neck. Furthermore, not only stem cells but also
differentiated cells, via the mechanism of abortive division, can
contribute to malignant cell repopulation during treatment.