Abstract: Children are more susceptible to medication errors
than adults. Medication administration process is the last stage in the
medication treatment process and most of the errors detected in this
stage. Little research has been undertaken about medication errors in
children in the Middle East countries. This study was aimed to
evaluate how the paediatric nurses adhere to the medication
administration policy and also to identify any medication preparation
and administration errors or any risk factors. An observational,
prospective study of medication administration process from when
the nurses preparing patient medication until administration stage
(May to August 2014) was conducted in Saudi Arabia. Twelve
paediatric nurses serving 90 paediatric patients were observed. 456
drug administered doses were evaluated. Adherence rate was variable
in 7 steps out of 16 steps. Patient allergy information, dose
calculation, drug expiry date were the steps in medication
administration with lowest adherence rates. 63 medication
preparation and administration errors were identified with error rate
13.8% of medication administrations. No potentially life-threating
errors were witnessed. Few logistic and administrative factors were
reported. The results showed that the medication administration
policy and procedure need an urgent revision to be more sensible for
nurses in practice. Nurses’ knowledge and skills regarding to the
medication administration process should be improved.
Abstract: Recommendation systems are widely used in
e-commerce applications. The engine of a current recommendation
system recommends items to a particular user based on user
preferences and previous high ratings. Various recommendation
schemes such as collaborative filtering and content-based approaches
are used to build a recommendation system. Most of current
recommendation systems were developed to fit a certain domain such
as books, articles, and movies. We propose1 a hybrid framework
recommendation system to be applied on two dimensional spaces
(User × Item) with a large number of Users and a small number
of Items. Moreover, our proposed framework makes use of both
favorite and non-favorite items of a particular user. The proposed
framework is built upon the integration of association rules mining
and the content-based approach. The results of experiments show
that our proposed framework can provide accurate recommendations
to users.
Abstract: Adapting quickly to environmental dynamism is
essential for an organization to develop outsourcing strategic and
management in order to sustain competitive advantage. This research
used the Partial Least Squares Structural Equation Modeling (PLSSEM)
tool to investigate the factors of environmental dynamism
impact on the strategic outsourcing success among electrical and
electronic manufacturing industries in outsourcing management.
Statistical results confirm that the inclusion of customer demand,
technological change, and competition level as a new combination
concept of environmental dynamism, has positive effects on
outsourcing success. Additionally, this research demonstrates the
acceptability of PLS-SEM as a statistical analysis to furnish a better
understanding of environmental dynamism in outsourcing
management in Malaysia. A practical finding contributes to
academics and practitioners in the field of outsourcing management.
Abstract: Monocopter is a single-wing rotary flying vehicle
which has the capability of hovering. This flying vehicle includes two
dynamic parts in which more efficiency can be expected rather than
other Micro UAVs due to the extended area of wing compared to its
fuselage. Low cost and simple mechanism in comparison to other
vehicles such as helicopter are the most important specifications of
this flying vehicle.
In the previous paper we discussed the introduction of the final
system but in this paper, the experimental design process of
Monocopter and its control algorithm has been investigated in
general. Also the editorial bugs in the previous article have been
corrected and some translational ambiguities have been resolved.
Initially by constructing several prototypes and carrying out many
flight tests the main design parameters of this air vehicle were
obtained by experimental measurements. Eventually the required
main monocopter for this project was constructed. After construction
of the monocopter in order to design, implementation and testing of
control algorithms first a simple optic system used for determining
the heading angle. After doing numerous tests on Test Stand, the
control algorithm designed and timing of applying control inputs
adjusted. Then other control parameters of system were tuned in
flight tests. Eventually the final control system designed and
implemented using the AHRS sensor and the final operational tests
performed successfully.
Abstract: Aerated concrete is a load bearing construction
material, which has high heat insulation parameters. Walls can be
erected from aerated concrete masonry constructions and in perfect
circumstances additional heat insulation is not required. The most
common problem in aerated concrete heat insulation properties is the
humidity distribution throughout the cross section of the masonry
elements as well as proper and conducted drying process of the
aerated concrete construction because only dry aerated concrete
masonry constructions can reach high heat insulation parameters.
In order to monitor drying process of the masonry and detect
humidity distribution throughout the cross section of aerated concrete
masonry construction application of electrical impedance
spectrometry is applied. Further test results and methodology of this
non-destructive testing method is described in this paper.
Abstract: Structured Query Language (SQL) is the standard de facto language to access and manipulate data in a relational database. Although SQL is a language that is simple and powerful, most novice users will have trouble with SQL syntax. Thus, we are presenting SQL generator tool which is capable of translating actions and displaying SQL commands and data sets simultaneously. The tool was developed based on Model-View-Controller (MVC) pattern. The MVC pattern is a widely used software design pattern that enforces the separation between the input, processing, and output of an application. Developers take full advantage of it to reduce the complexity in architectural design and to increase flexibility and reuse of code. In addition, we use White-Box testing for the code verification in the Model module.
Abstract: Creating a database scheme is essentially a manual
process. From a requirement specification the information contained
within has to be analyzed and reduced into a set of tables, attributes
and relationships. This is a time consuming process that has to go
through several stages before an acceptable database schema is
achieved. The purpose of this paper is to implement a Natural
Language Processing (NLP) based tool to produce a relational
database from a requirement specification. The Stanford CoreNLP
version 3.3.1 and the Java programming were used to implement the
proposed model. The outcome of this study indicates that a first draft
of a relational database schema can be extracted from a requirement
specification by using NLP tools and techniques with minimum user
intervention. Therefore this method is a step forward in finding a
solution that requires little or no user intervention.
Abstract: We report on the use of strong external optical
feedback to enhance the modulation response of semiconductor lasers
over a frequency passband around modulation frequencies higher
than 60 GHz. We show that this modulation enhancement is a type of
photon-photon resonance (PPR) of oscillating modes in the external
cavity formed between the laser and the external reflector. The study
is based on a time-delay rate equation model that takes into account
both the strong feedback and multiple reflections in the external
cavity. We examine the harmonic and intermodulation distortions
associated with single and two-tone modulations in the mm-wave
band of the resonant modulation. We show that compared with
solitary lasers modulated around the carrier-photon resonance
frequency, the present mm-wave modulated signal has lower
distortions.
Abstract: This study presents a cost-effective approach for rapid
fabricating modeling platforms utilized in fused deposition modeling
system. A small-batch production of modeling platforms about 20
pieces can be obtained economically through silicone rubber mold
using vacuum casting without applying the plastic injection molding.
The air venting systems is crucial for fabricating modeling platform
using vacuum casting. Modeling platforms fabricated can be used for
building rapid prototyping model after sandblasting. This study offers
industrial value because it has both time-effectiveness and
cost-effectiveness.
Abstract: In this paper, we study the rainfall using a time series
for weather stations in Nakhon Ratchasima province in Thailand by
various statistical methods to enable us to analyse the behaviour of
rainfall in the study areas. Time-series analysis is an important tool in
modelling and forecasting rainfall. The ARIMA and Holt-Winter
models were built on the basis of exponential smoothing. All the
models proved to be adequate. Therefore it is possible to give
information that can help decision makers establish strategies for the
proper planning of agriculture, drainage systems and other water
resource applications in Nakhon Ratchasima province. We obtained
the best performance from forecasting with the ARIMA
Model(1,0,1)(1,0,1)12.
Abstract: The extermination and proper disposal of
pharmaceutical wastes from expired and unused medications remains
a disputable issue due to their specific nature and characteristics.
Even though the hazards from these wastes are already well known in
terms of environment and human health, people still treat them as
usual wastes. At a national level, in many countries the management
of pharmaceutical and medical wastes has been one of the main
objectives in order to protect people’s health and the environment.
Even though many legal regulations exist in this respect, there has not
been a single law that would clearly explain the procedures of
returning medicines, ways of selection, treatment and extermination
of pharmaceutical wastes. This paper aims at analyzing the practices
of pharmaceutical waste management and treatment in some
European countries as well as a review of the legislation and official
guidelines in managing these kinds of wastes and protecting the
environment and human health. A suitable treatment and
management of expired medications and other similar wastes would
be in the interest of public health in the first place, as well as in the
interest of healthcare institutions and other bodies engaged in
environment protection.
Abstract: This paper proposes a new technique to design a
fixed-structure robust loop shaping controller for the pneumatic
servosystem. In this paper, a new method based on a particle swarm
optimization (PSO) algorithm for tuning the weighting function
parameters to design an H∞ controller is presented. The PSO
algorithm is used to minimize the infinity norm of the transfer
function of the nominal closed loop system to obtain the optimal
parameters of the weighting functions. The optimal stability margin is
used as an objective in PSO for selecting the optimal weighting
parameters; it is shown that the proposed method can simplify the
design procedure of H∞ control to obtain optimal robust controller for
pneumatic servosystem. In addition, the order of the proposed
controller is much lower than that of the conventional robust loop
shaping controller, making it easy to implement in practical works.
Also two-degree-of-freedom (2DOF) control design procedure is
proposed to improve tracking performance in the face of noise and
disturbance. Result of simulations demonstrates the advantages of the
proposed controller in terms of simple structure and robustness
against plant perturbations and disturbances.
Abstract: Learner motivation is considered to be an important
component for the Blended e-Learning (BL) Method. BL is an
effective learning method in multiple domains, which opens several
opportunities for its participants to engage in the learning
environment. This research explores the learners’ perspective of BL
according to the Self-Determination Theory (SDT). It identifies the
opportunities and challenges for using the BL in Logistics Education
(LE) in Egyptian Higher Education (HE). SDT is approached from
different perspectives within the relationship between Intrinsic
Motivation (IM), Extrinsic Motivation (EM) and Amotivation (AM).
A self-administered face-to-face questionnaire was used to collect
data from learners who were geographically widely spread around
three colleges of International Transport and Logistics (CILTs) at the
Arab Academy for Science, Technology and Maritime Transport
(AAST&MT) in Egypt. Six hundred and sixteen undergraduates
responded to a questionnaire survey. Respondents were drawn from
three branches in Greater Cairo, Alexandria, and Port Said. The data
analysis used was SPSS 22 and AMOS 18.
Abstract: Soil erosion is a very complex phenomenon, resulting
from detachment and transport of soil particles by erosion agents.
The kinetic energy of raindrop is the energy available for detachment
and transport by splashing rain. The soil erodibility is defined as the
ability of soil to resist to erosion. For this purpose, an experimental
study was conducted in the laboratory using rainfall simulator to
study the effect of the kinetic energy of rain (Ec) on the soil
erodibility (K). The soil used was a sandy agricultural soil of 62.08%
coarse sand, 19.14% fine sand, 6.39% fine silt, 5.18% coarse silt and
7.21% clay. The obtained results show that the kinetic energy of
raindrops evolves as a power law with soil erodibility.
Abstract: Regardless of the manufacturing process used,
subtractive or additive, material, purpose and application, produced
components are conventionally solid mass with more or less complex
shape depending on the production technology selected. Aspects
such as reducing the weight of components, associated with the low
volume of material required and the almost non-existent material
waste, speed and flexibility of production and, primarily, a high
mechanical strength combined with high structural performance, are
competitive advantages in any industrial sector, from automotive,
molds, aviation, aerospace, construction, pharmaceuticals, medicine
and more recently in human tissue engineering. Such features,
properties and functionalities are attained in metal components
produced using the additive technique of Rapid Prototyping from
metal powders commonly known as Selective Laser Melting (SLM),
with optimized internal topologies and varying densities. In order to
produce components with high strength and high structural and
functional performance, regardless of the type of application, three
different internal topologies were developed and analyzed using
numerical computational tools. The developed topologies were
numerically submitted to mechanical compression and four point
bending testing. Finite Element Analysis results demonstrate how
different internal topologies can contribute to improve mechanical
properties, even with a high degree of porosity relatively to fully
dense components. Results are very promising not only from the
point of view of mechanical resistance, but especially through the
achievement of considerable variation in density without loss of
structural and functional high performance.
Abstract: In this paper, the formulation of a new group explicit
method with a fourth order accuracy is described in solving the two
dimensional Helmholtz equation. The formulation is based on the
nine-point fourth order compact finite difference approximation
formula. The complexity analysis of the developed scheme is also
presented. Several numerical experiments were conducted to test the
feasibility of the developed scheme. Comparisons with other existing
schemes will be reported and discussed. Preliminary results indicate
that this method is a viable alternative high accuracy solver to the
Helmholtz equation.
Abstract: Accounting policies are a set of solutions compliant
with legal regulations that an entity selects and adopts, and which
guarantee a proper quality of financial statements. Those solutions
may differ depending on whether the entity adopts national or
international accounting standards.
The aim of this article is to present accounting principles (policies)
in Polish and international legal regulations and their adoption in
selected Polish companies listed on the Warsaw Stock Exchange. The
research method adopted in this work is the analysis and evaluation
of legal conditions in Polish companies.
Abstract: This paper reviews the internal use of blogs and their
potential effectiveness as organisational learning tools. Since the
emergence of the concept of ‘Enterprise 2.0’ there remains a lack of
empirical evidence associated with how organisations are applying
social media tools and whether they are effective towards supporting
organisational learning. Surprisingly, blogs, one of the more
traditional social media tools, still remains under-researched in the
context of ‘Enterprise 2.0’ and organisational learning. The aim of
this paper is to identify the theoretical linkage between blogs and
organisational learning in addition to reviewing prior research on
organisational blogging exploring why this area remains underresearched.
Through a literature review, one of the principal findings
of this paper is that organisational blogs have a mutual compatibility
with the interpretivist aspect of organisational learning. This paper
further advocates that further empirical work in this subject area is
required to substantiate this theoretical assumption.
Abstract: The electric power supplied by a photovoltaic power
generation systems depends on the solar irradiation and temperature.
The PV system can supply the maximum power to the load at a
particular operating point which is generally called as maximum
power point (MPP), at which the entire PV system operates with
maximum efficiency and produces its maximum power. Hence, a
Maximum power point tracking (MPPT) methods are used to
maximize the PV array output power by tracking continuously the
maximum power point. The proposed MPPT controller is designed
for 10kW solar PV system installed at Cape Institute of Technology.
This paper presents the fuzzy logic based MPPT algorithm. However,
instead of one type of membership function, different structures of
fuzzy membership functions are used in the FLC design. The
proposed controller is combined with the system and the results are
obtained for each membership functions in Matlab/Simulink
environment. Simulation results are decided that which membership
function is more suitable for this system.
Abstract: In this paper, Least Mean Square (LMS) adaptive
noise reduction algorithm is proposed to enhance the speech signal
from the noisy speech. In this, the speech signal is enhanced by
varying the step size as the function of the input signal. Objective and
subjective measures are made under various noises for the proposed
and existing algorithms. From the experimental results, it is seen that
the proposed LMS adaptive noise reduction algorithm reduces Mean
square Error (MSE) and Log Spectral Distance (LSD) as compared to
that of the earlier methods under various noise conditions with
different input SNR levels. In addition, the proposed algorithm
increases the Peak Signal to Noise Ratio (PSNR) and Segmental SNR
improvement (ΔSNRseg) values; improves the Mean Opinion Score
(MOS) as compared to that of the various existing LMS adaptive
noise reduction algorithms. From these experimental results, it is
observed that the proposed LMS adaptive noise reduction algorithm
reduces the speech distortion and residual noise as compared to that
of the existing methods.