Abstract: Over the years, it has been extensively established that
the practice of assuming a structure being fixed at base, leads to gross
errors in evaluation of its overall response due to dynamic loadings
and overestimations in design. The extent of these errors depends on
a number of variables; soil type being one of the major factor. This
paper studies the effect of Soil Structure Interaction (SSI) on multistorey
buildings with varying under-laying soil types after proper
validation of the effect of SSI. Analysis for soft, stiff and very stiff
base soils has been carried out, using a powerful Finite Element
Method (FEM) software package ANSYS v14.5. Results lead to
some very important conclusions regarding time period, deflection
and acceleration responses.
Abstract: Background: The objectives of this study were to
assess patient’s knowledge of appropriate sublingual glyceryl
trinitrate (GTN) use as well as to investigate how patients commonly
store and carry their sublingual GTN tablets. Methodology: This was
a cross-sectional survey, using a validated researcher-administered
questionnaire. The study involved cardiac patients receiving
sublingual GTN attending the outpatient and inpatient departments of
Taiping Hospital, a non-academic public care hospital. The minimum
calculated sample size was 92, but 100 patients were conveniently
sampled. Respondents were interviewed on 3 areas, including
demographic data, knowledge and use of sublingual GTN. Eight
items were used to calculate each subject’s knowledge score and six
items were used to calculate use score. Results: Of the 96 patients
who consented to participate, majority (96.9%) were well aware of
the indication of sublingual GTN. With regards to the mechanism of
action of sublingual GTN, 73 (76%) patients did not know how the
medication works. Majority of the patients (66.7%) knew about the
proper storage of the tablet. In relation to the maximum number of
sublingual GTN tablets that can be taken during each angina episode,
36.5% did not know that up to 3 tablets of sublingual GTN can be
taken during each episode of angina. Fifty four (56.2%) patients were
not aware that they need to replace sublingual GTN every 8 weeks
after receiving the tablets. Majority (69.8%) of the patients
demonstrated lack of knowledge with regards to the use of sublingual
GTN as prevention of chest pain. Conclusion: Overall, patients’
knowledge regarding the self-administration of sublingual GTN is
still inadequate. The findings support the need for more frequent
reinforcement of patient education, especially in the areas of
preventive use, storage and drug stability.
Abstract: This article focuses on the issue of airport emergency
plans, which are documents describing reactions to events with
impact on aviation safety or aviation security. The article specifically
focuses on the use and creation of emergency plans, where could be
found a number of disagreements between different stakeholders, for
which the airport emergency plan applies. Those are the friction
surfaces of interfaces, which is necessary to identify and ensure them
smooth process to avoid dangerous situations or delay.
Abstract: One of the best examples, in evolution of the public
procurement, from post-soviet countries are reforms carried out in
Georgia, which brought them close to international standards of
procurement. In Georgia, public procurement legislation started
functioning short after gaining independence. The reform has passed
several stages and came in the form as it is today. It should also be
noted, that countries with economy in transition, including Georgia,
implemented all the reforms in public procurement based on
recommendations and support of World Bank, the United Nations
and other international organizations.
The aim of first adopted law was regulation of the procurement
process of budget-organizations, transparency and creation of
competitive environment for private companies to access state funds
legally. The priorities were identified quite clearly in the wording of
the law, but operation/function of this law could not be reached on its
level, because of some objective and subjective reasons. The high
level of corruption in all levels of governance can be considered as a
main obstacle reason and of course, it is natural, that it had direct
impact on the procurement process, as well as on transparency and
rational use of state funds. These circumstances were the reasons that
reforms in this sphere continued, to improve procurement process, in
particular, the first wave of reforms began after several years. Public
procurement agency carried out reform with World Bank with main
purpose of smartening the procurement legislation and its
harmonization with international treaties and agreements. Also with
the support of World Bank various activities were carried out to raise
awareness of participants involved in procurement system.
Further major changes in the legislation were filed bit later, which
was also directed towards the improvement and smarten of the
procurement process. The third wave of the reform more or less
guaranteed the transparency of the procurement process, which later
became the basis for the rational spending of state funds. The reform
of the procurement system completely changed the procedures.
Carried out reform in Georgia resulted in introducing new
electronic tendering system, which benefit the transparency of the
process, after this became the basis for the further development of a
competitive environment, which become a prerequisite for the state
rational spending. Increased number of supplier organizations
participating in the procurement process resulted in reduction of the
estimated cost and the actual cost.
Assessment of the reforms in Georgia in the field of public
procurement can be concluded, that proper regulation of the sector
and relevant policy may proceed to rational and transparent spending
of the budget from country’s state institutions. Also, the business
sector has the opportunity to work in competitive market conditions
and to make a preliminary analysis, which is a prerequisite for future
strategy and development.
Abstract: Over the past four decades, the fatigue behavior of
nickel-based alloys has been widely studied. However, in recent
years, significant advances in the fabrication process leading to grain
size reduction have been made in order to improve fatigue properties
of aircraft turbine discs. Indeed, a change in particle size affects the
initiation mode of fatigue cracks as well as the fatigue life of the
material. The present study aims to investigate the fatigue behavior of
a newly developed nickel-based superalloy under biaxial-planar
loading. Low Cycle Fatigue (LCF) tests are performed at different
stress ratios so as to study the influence of the multiaxial stress state
on the fatigue life of the material. Full-field displacement and strain
measurements as well as crack initiation detection are obtained using
Digital Image Correlation (DIC) techniques. The aim of this
presentation is first to provide an in-depth description of both the
experimental set-up and protocol: the multiaxial testing machine, the
specific design of the cruciform specimen and performances of the
DIC code are introduced. Second, results for sixteen specimens
related to different load ratios are presented. Crack detection, strain
amplitude and number of cycles to crack initiation vs. triaxial stress
ratio for each loading case are given. Third, from fractographic
investigations by scanning electron microscopy it is found that the
mechanism of fatigue crack initiation does not depend on the triaxial
stress ratio and that most fatigue cracks initiate from subsurface
carbides.
Abstract: Meeting the growth in demand for digital services
such as social media, telecommunications, and business and cloud
services requires large scale data centres, which has led to an increase
in their end use energy demand. Generally, over 30% of data centre
power is consumed by the necessary cooling overhead. Thus energy
can be reduced by improving the cooling efficiency. Air and liquid
can both be used as cooling media for the data centre. Traditional
data centre cooling systems use air, however liquid is recognised as a
promising method that can handle the more densely packed data
centres. Liquid cooling can be classified into three methods; rack heat
exchanger, on-chip heat exchanger and full immersion of the
microelectronics. This study quantifies the improvements of heat
transfer specifically for the case of immersed microelectronics by
varying the CPU and heat sink location. Immersion of the server is
achieved by filling the gap between the microelectronics and a water
jacket with a dielectric liquid which convects the heat from the CPU
to the water jacket on the opposite side. Heat transfer is governed by
two physical mechanisms, which is natural convection for the fixed
enclosure filled with dielectric liquid and forced convection for the
water that is pumped through the water jacket. The model in this
study is validated with published numerical and experimental work
and shows good agreement with previous work. The results show that
the heat transfer performance and Nusselt number (Nu) is improved
by 89% by placing the CPU and heat sink on the bottom of the
microelectronics enclosure.
Abstract: In this paper, effects of using Alumina-water
nanofluid on the rate of heat transfer have been investigated
numerically. Physical model is a square enclosure with insulated top
and bottom horizontal walls, while the vertical walls are kept at
different constant temperatures. Two appropriate models are used to
evaluate the viscosity and thermal conductivity of nanofluid. The
governing stream-vorticity equations are solved using a second order
central finite difference scheme, coupled to the conservation of mass
and energy. The study has been carried out for the Richardson
number 0.1 to 10 and the solid volume fraction 0 to 0.04. Results are
presented by isotherms lines, average Nusselt number and normalized
Nusselt number in different range of φ and Ri for forced, combined
and natural convection dominated regime. It is found that higher heat
transfer rate is predicted when the effects of nanoparticle is taken into
account.
Abstract: Numerical studies were conducted using Lattice
Boltzmann Method (LBM) to study the natural convection in a square
cavity in the presence of roughness. An algorithm based on a single
relaxation time Bhatnagar-Gross-Krook (BGK) model of Lattice
Boltzmann Method (LBM) was developed. Roughness was
introduced on both the hot and cold walls in the form of sinusoidal
roughness elements. The study was conducted for a Newtonian fluid
of Prandtl number (Pr) 1.0. The range of Ra number was explored
from 10^3 to 10^6 in a laminar region. Thermal and hydrodynamic
behavior of fluid was analyzed using a differentially heated square
cavity with roughness elements present on both the hot and cold wall.
Neumann boundary conditions were introduced on horizontal walls
with vertical walls as isothermal. The roughness elements were at the
same boundary condition as corresponding walls. Computational
algorithm was validated against previous benchmark studies
performed with different numerical methods, and a good agreement
was found to exist. Results indicate that the maximum reduction in
the average heat transfer was 16.66 percent at Ra number 10^5.
Abstract: This paper addresses the issue of the autonomous
mobile robot (AMR) navigation task based on the hybrid control
modes. The novel hybrid control mode, based on multi-sensors
information by using the fuzzy approach, has been presented in this
research. The system operates in real time, is robust, enables the robot
to operate with imprecise knowledge, and takes into account the
physical limitations of the environment in which the robot moves,
obtaining satisfactory responses for a large number of different
situations. An experiment is simulated and carried out with a pioneer
mobile robot. From the experimental results, the effectiveness and
usefulness of the proposed AMR obstacle avoidance and navigation
scheme are confirmed. The experimental results show the feasibility,
and the control system has improved the navigation accuracy. The
implementation of the controller is robust, has a low execution time,
and allows an easy design and tuning of the fuzzy knowledge base.
Abstract: Electroencephalogram (EEG) is a noninvasive
technique that registers signals originating from the firing of neurons
in the brain. The Emotiv EEG Neuroheadset is a consumer product
comprised of 14 EEG channels and was used to record the reactions
of the neurons within the brain to two forms of stimuli in 10
participants. These stimuli consisted of auditory and visual formats
that provided directions of ‘right’ or ‘left.’ Participants were
instructed to raise their right or left arm in accordance with the
instruction given. A scenario in OpenViBE was generated to both
stimulate the participants while recording their data. In OpenViBE,
the Graz Motor BCI Stimulator algorithm was configured to govern
the duration and number of visual stimuli. Utilizing EEGLAB under
the cross platform MATLAB®, the electrodes most stimulated during
the study were defined. Data outputs from EEGLAB were analyzed
using IBM SPSS Statistics® Version 20. This aided in determining
the electrodes to use in the development of a brain-machine interface
(BMI) using real-time EEG signals from the Emotiv EEG
Neuroheadset. Signal processing and feature extraction were
accomplished via the Simulink® signal processing toolbox. An
Arduino™ Duemilanove microcontroller was used to link the Emotiv
EEG Neuroheadset and the right and left Mecha TE™ Hands.
Abstract: This paper describes the problem of building secure
computational services for encrypted information in the Cloud
Computing without decrypting the encrypted data; therefore, it meets
the yearning of computational encryption algorithmic aspiration
model that could enhance the security of big data for privacy,
confidentiality, availability of the users. The cryptographic model
applied for the computational process of the encrypted data is the
Fully Homomorphic Encryption Scheme. We contribute a theoretical
presentations in a high-level computational processes that are based
on number theory and algebra that can easily be integrated and
leveraged in the Cloud computing with detail theoretic mathematical
concepts to the fully homomorphic encryption models. This
contribution enhances the full implementation of big data analytics
based cryptographic security algorithm.
Abstract: Emissions of atmospheric pollutants from ships and
harbour activities are a growing concern at international level given
their potential impacts on air quality and climate. These close-to-land
emissions have potential impact on local communities in terms of air
quality and health. Recent studies show that the impact of maritime
traffic to atmospheric particulate matter concentrations in several
coastal urban areas is comparable with the impact of road traffic of a
medium size town. However, several different approaches have been
used for these estimates making difficult a direct comparison of
results. In this work, an integrated approach based on emission
inventories and dedicated measurement campaigns has been applied
to give a comparable estimate of the impact of maritime traffic to
PM2.5 and particle number concentrations in three major harbours of
the Adriatic/Ionian Seas. The influences of local meteorology and of
the logistic layout of the harbours are discussed.
Abstract: Over the past few years, the online multimedia
collection has grown at a fast pace. Several companies showed
interest to study the different ways to organise the amount of audio
information without the need of human intervention to generate
metadata. In the past few years, many applications have emerged on
the market which are capable of identifying a piece of music in a
short time. Different audio effects and degradation make it much
harder to identify the unknown piece. In this paper, an audio
fingerprinting system which makes use of a non-parametric based
algorithm is presented. Parametric analysis is also performed using
Gaussian Mixture Models (GMMs). The feature extraction methods
employed are the Mel Spectrum Coefficients and the MPEG-7 basic
descriptors. Bin numbers replaced the extracted feature coefficients
during the non-parametric modelling. The results show that nonparametric
analysis offer potential results as the ones mentioned in
the literature.
Abstract: Diminished antioxidant defense or increased
production of reactive oxygen species in the biological system can
result in oxidative stress which may lead to various
neurodegenerative diseases including Alzheimer’s disease (AD).
Microglial activation also contributes to the progression of AD by
producing several proinflammatory cytokines, nitric oxide (NO) and
prostaglandin E2 (PGE2). Oxidative stress and inflammation have
been reported to be possible pathophysiological mechanisms
underlying AD. In addition, the cholinergic hypothesis postulates that
memory impairment in patient with AD is also associated with the
deficit of cholinergic function in the brain. Although a number of
drugs have been approved for the treatment of AD, most of these
synthetic drugs have diverse side effects and yield relatively modest
benefits. Marine algae have great potential in pharmaceutical and
biomedical applications as they are valuable sources of bioactive
properties such as anticoagulation, antimicrobial, antioxidative,
anticancer and anti-inflammatory. Hence, this study aimed to provide
an overview of the properties of Malaysian seaweeds (Padina
australis, Sargassum polycystum and Caulerpa racemosa) in
inhibiting oxidative stress, neuroinflammation and cholinesterase
enzymes. These seaweeds significantly exhibited potent DPPH and
moderate superoxide anion radical scavenging ability (P
Abstract: In this research paper were investigated the main
regularities of a radical bromination reaction of decalin. There had
been studied the temperature effect, durations of reaction, frequency
rate of process, a ratio of initial components, type and number of the
initiator on decalin bromination degree.
There were specified optimum conditions of synthesis of a
perbromodecalin by the method of a decalin bromination. There are
developed the technological flowchart of receiving a
perbromodecalin and the mass balance of process on the first and the
subsequent loadings of components.
The results of research of antibacterial and antifungal activity of
synthesized bromoderivatives have been represented.
Abstract: Internet financial reporting and corporate governance
issues are in the focus of academic and professional studies due to
their attributed importance by stakeholders of corporations. Major
aim of this study is to reveal the relationship between internet
financial reporting which is held as dependent variable and some
indicators of corporate governance such as the ratio of managerial
ownership, blockholder ownership, number of independent members
in the board of directors, frequency of meetings by audit committee
and education level of audit committee members which are held as
independent variables. Main purpose is to reveal the effect of
corporate governance on the voluntary efforts of Internet Financial
reporting. The scope of the research is limited to the Turkish
Corporations listed in Borsa Istanbul (Istanbul Stock Exchange) and
findings which are generated by means of SPSS software are revealed
in results section and interpreted in conclusions.
Abstract: The aim of this study is to analyze the role and
effectiveness of internal mechanism (audit committee) of corporate
governance on credit institutions performance in Croatia. Based on
research objective, sample of 78 credit institutions listed on Zagreb
Stock Exchange, from 2007 to 2012, has been collected and
efficiency index of audit committee (EIAC) has been created. Based
on the sample and created EIAC, conclusions are as follows: audit
committees of credit institutions have medium efficiency, based on
EIAC measurement; there is a significant difference in audit
committee effectiveness, in observed period; there is no positive
relationship between audit committee effectiveness and credit
institution performance; there is a significant difference between
level of audit committee effectiveness and audit firm type. Future
research should contain increased number of elements in EIAC
creation and increased sample, for all obligators who need to
establish audit committee.
Abstract: Moodle is an open source learning management
system that enables creation of a powerful and flexible learning
environment. Many organizations, especially learning institutions
have customized Moodle open source LMS for their own use. In
general open source LMSs are of great interest due to many
advantages they offer in terms of cost, usage and freedom to
customize to fit a particular context. Tanzania Secondary School e-
Learning (TanSSe-L) system is the learning management system for
Tanzania secondary schools. TanSSe-L system was developed using
a number of methods, one of them being customization of Moodle
Open Source LMS. This paper presents few areas on the way Moodle
OS LMS was customized to produce a functional TanSSe-L system
fitted to the requirements and specifications of Tanzania secondary
schools’ context.
Abstract: Potato (Solanum tuberosum L.) is one of the major
vegetable crops that are grown world –wide because of its economic
importance. This experiment investigated the effect of local sands
(River Base, Al-Ekader and Karbala) on number and total weight of
minitubers. Statistical analysis revealed that there were no significant
differences among sand cultures in number of stem/plant, chlorophyll
index and tubers dry weight. River Base sand had the highest plant
height (74.9 cm), leaf number/plant number (39.3), leaf area (84.4
dcm2⁄plant), dry weight/plant (26.31), tubers number/plant (8.5),
tubers weight/plant (635.53 gm) and potato tuber yields/trove (28.60
kg), whereas the Karbala sand had lower performance. All the
characters had positive and significant correlation with yields except
the traits number of stem and tuber dry weight.
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.