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: In this study, we have focused our attention on
combining of molecular imprinting into nanofilms and QCM
nanosensor approaches and producing QCM nanosensor for anti-
CCP, chosen as model protein, using anti-CCP imprinted nanofilms.
The nonimprinted nanosensor was also prepared to evaluate the
selectivity of the imprinted nanosensor. Anti-CCP imprinted QCM
nanosensor was tested for real time detection of anti-CCP from
aqueous solution. The kinetic and affinity studies were determined by
using anti-CCP solutions with different concentrations. The
responses related with mass shifts (%m) and frequency shifts (%f)
were used to evaluate adsorption properties. To show the selectivity
of the anti-CCP imprinted QCM nanosensor, competitive adsorption
of anti-CCP and IgM was investigated. The results indicate that anti-
CCP imprinted QCM nanosensor has higher adsorption capabilities
for anti-CCP than for IgM, due to selective cavities in the polymer
structure.
Abstract: Human motion capture has become one of the major
area of interest in the field of computer vision. Some of the major
application areas that have been rapidly evolving include the
advanced human interfaces, virtual reality and security/surveillance
systems. This study provides a brief overview of the techniques and
applications used for the markerless human motion capture, which
deals with analyzing the human motion in the form of mathematical
formulations. The major contribution of this research is that it
classifies the computer vision based techniques of human motion
capture based on the taxonomy, and then breaks its down into four
systematically different categories of tracking, initialization, pose
estimation and recognition. The detailed descriptions and the
relationships descriptions are given for the techniques of tracking and
pose estimation. The subcategories of each process are further
described. Various hypotheses have been used by the researchers in
this domain are surveyed and the evolution of these techniques have
been explained. It has been concluded in the survey that most
researchers have focused on using the mathematical body models for
the markerless motion capture.
Abstract: With increasingly more mobile health applications
appearing due to the popularity of smartphones, the possibility arises
that these data can be used to improve the medical diagnostic process,
as well as the overall quality of healthcare, while at the same time
lowering costs. However, as of yet there have been no reports of a
successful combination of patient-generated data from smartphones
with data from clinical routine. In this paper we describe how these
two types of data can be combined in a secure way without
modification to hospital information systems, and how they can
together be used in a medical expert system for automatic nutritional
classification and triage.
Abstract: A large amount of data is typically stored in relational
databases (DB). The latter can efficiently handle user queries which
intend to elicit the appropriate information from data sources.
However, direct access and use of this data requires the end users to
have an adequate technical background, while they should also cope
with the internal data structure and values presented. Consequently
the information retrieval is a quite difficult process even for IT or DB
experts, taking into account the limited contributions of relational
databases from the conceptual point of view. Ontologies enable users
to formally describe a domain of knowledge in terms of concepts and
relations among them and hence they can be used for unambiguously
specifying the information captured by the relational database.
However, accessing information residing in a database using
ontologies is feasible, provided that the users are keen on using
semantic web technologies. For enabling users form different
disciplines to retrieve the appropriate data, the design of a Graphical
User Interface is necessary. In this work, we will present an
interactive, ontology-based, semantically enable web tool that can be
used for information retrieval purposes. The tool is totally based on
the ontological representation of underlying database schema while it
provides a user friendly environment through which the users can
graphically form and execute their queries.
Abstract: The present article seeks to carry out along the lines of
interpretation of the recent Portuguese Constitutional Court case law
on the possibility of an employee to observe a worship day imposed
by religious beliefs. In this approach to the question, considerations
on the subject of the relationship between religious freedom and
labour relations will inevitably arise. We intend to draw conclusions
of practical application from the court decisions on the matter of
freedom of religion.
Abstract: The purpose of this paper is to examine the hypothesis
explaining the mechanism in the case, where the product is deleted or
reduced the fundamental function of the product through the product
concept changes in the digital camera industry. This paper points out
not owning the fundamental technology might cause the change of the
product concept. Casio could create new competitive factor so that this
paper discusses a possibility of the mechanism of changing the product
concept.
Abstract: Large-scale data stream analysis has become one of
the important business and research priorities lately. Social networks
like Twitter and other micro-blogging platforms hold an enormous
amount of data that is large in volume, velocity and variety.
Extracting valuable information and trends out of these data would
aid in a better understanding and decision-making. Multiple analysis
techniques are deployed for English content. Moreover, one of the
languages that produce a large amount of data over social networks
and is least analyzed is the Arabic language. The proposed paper is a
survey on the research efforts to analyze the Arabic content in
Twitter focusing on the tools and methods used to extract the
sentiments for the Arabic content on Twitter.
Abstract: Every machine plays roles of client and server
simultaneously in a peer-to-peer (P2P) network. Though a P2P
network has many advantages over traditional client-server models
regarding efficiency and fault-tolerance, it also faces additional
security threats. Users/IT administrators should be aware of risks
from malicious code propagation, downloaded content legality, and
P2P software’s vulnerabilities. Security and preventative measures
are a must to protect networks from potential sensitive information
leakage and security breaches. Bit Torrent is a popular and scalable
P2P file distribution mechanism which successfully distributes large
files quickly and efficiently without problems for origin server. Bit
Torrent achieved excellent upload utilization according to
measurement studies, but it also raised many questions as regards
utilization in settings, than those measuring, fairness, and Bit
Torrent’s mechanisms choice. This work proposed a block selection
technique using Fuzzy ACO with optimal rules selected using ACO.
Abstract: Agriculture is the backbone of economy of Pakistan
and cotton is the major agricultural export and supreme source of raw
fiber for our textile industry. To combat severe problems of insect
and weed, combination of three genes namely Cry1Ac, Cry2A and
EPSPS genes was transferred in locally cultivated cotton variety
MNH-786 with the use of Agrobacterium mediated genetic
transformation. The present study focused on the molecular screening
of transgenic cotton plants at T3 generation in order to confirm
integration and expression of all three genes (Cry1Ac, Cry2A and
EPSP synthase) into the cotton genome. Initially, glyphosate spray
assay was used for screening of transgenic cotton plants containing
EPSP synthase gene at T3 generation. Transgenic cotton plants which
were healthy and showed no damage on leaves were selected after 07
days of spray. For molecular analysis of transgenic cotton plants in
the laboratory, the genomic DNA of these transgenic cotton plants
were isolated and subjected to amplification of the three genes. Thus,
seventeen out of twenty (Cry1Ac gene), ten out of twenty (Cry2A
gene) and all twenty (EPSP synthase gene) were produced positive
amplification. On the base of PCR amplification, ten transgenic plant
samples were subjected to protein expression analysis through
ELISA. The results showed that eight out of ten plants were actively
expressing the three transgenes. Real-time PCR was also done to
quantify the mRNA expression levels of Cry1Ac and EPSP synthase
gene. Finally, eight plants were confirmed for the presence and active
expression of all three genes at T3 generation.
Abstract: This article is trying to determine the status of flue gas
that is entering the KWH heat exchanger from combustion chamber
in order to calculate the heat transfer ratio of the heat exchanger.
Combination of measurement, calculation and computer simulation
was used to create a useful way to approximate the heat transfer rate.
The measurements were taken by a number of sensors that are
mounted on the experimental device and by a thermal imaging
camera. The results of the numerical calculation are in a good
correspondence with the real power output of the experimental
device. That result shows that the research has a good direction and
can be used to propose changes in the construction of the heat
exchanger, but still needs enhancements.
Abstract: The air transport impact on environment is more than
ever a limitative obstacle to the aeronautical industry continuous
growth. Over the last decades, considerable effort has been carried
out in order to obtain quieter aircraft solutions, whether by changing
the original design or investigating more silent maneuvers. The
noise propagated by rotating surfaces is one of the most important
sources of annoyance, being present in most aerial vehicles. Bearing
this is mind, CEIIA developed a new computational chain for
noise prediction with in-house software tools to obtain solutions in
relatively short time without using excessive computer resources. This
work is based on the new acoustic tool, which aims to predict the
rotor noise generated during steady and maneuvering flight, making
use of the flexibility of the C language and the advantages of GPU
programming in terms of velocity. The acoustic tool is based in the
Formulation 1A of Farassat, capable of predicting two important
types of noise: the loading and thickness noise. The present work
describes the most important features of the acoustic tool, presenting
its most relevant results and framework analyses for helicopters and
UAV quadrotors.
Abstract: This paper presents a method of hardening the 8051
micro-controller, able to assure reliable operation in the presence of
bit flips caused by radiation. Aiming at avoiding such faults in the
8051 micro-controller, Hamming code protection was used in its
SRAM memory and registers. A VHDL code has been used for this
hamming code protection.
Abstract: This paper presents an efficient fusion algorithm for
iris images to generate stable feature for recognition in unconstrained
environment. Recently, iris recognition systems are focused on real
scenarios in our daily life without the subject’s cooperation. Under
large variation in the environment, the objective of this paper is to
combine information from multiple images of the same iris. The
result of image fusion is a new image which is more stable for further
iris recognition than each original noise iris image. A wavelet-based
approach for multi-resolution image fusion is applied in the fusion
process. The detection of the iris image is based on Adaboost
algorithm and then local binary pattern (LBP) histogram is then
applied to texture classification with the weighting scheme.
Experiment showed that the generated features from the proposed
fusion algorithm can improve the performance for verification system
through iris recognition.
Abstract: This paper seeks to analyse the benefits of big data
and more importantly the challenges it pose to the subject of privacy
and data protection. First, the nature of big data will be briefly
deliberated before presenting the potential of big data in the present
days. Afterwards, the issue of privacy and data protection is
highlighted before discussing the challenges of implementing this
issue in big data. In conclusion, the paper will put forward the debate
on the adequacy of the existing legal framework in protecting
personal data in the era of big data.
Abstract: Biofuels production has come forth as a future
technology to combat the problem of depleting fossil fuels. Bio-based
ethanol production from enzymatic lignocellulosic biomass
degradation serves an efficient method and catching the eye of
scientific community. High cost of the enzyme is the major obstacle
in preventing the commercialization of this process. Thus main
objective of the present study was to optimize composition of
medium components for enhancing cellulase production by newly
isolated strain of Bacillus tequilensis. Nineteen factors were taken
into account using statistical Plackett-Burman Design. The significant
variables influencing the cellulose production were further employed
in statistical Response Surface Methodology using Central
Composite Design for maximizing cellulase production. The
optimum medium composition for cellulase production was: peptone
(4.94 g/L), ammonium chloride (4.99 g/L), yeast extract (2.00 g/L),
Tween-20 (0.53 g/L), calcium chloride (0.20 g/L) and cobalt chloride
(0.60 g/L) with pH 7, agitation speed 150 rpm and 72 h incubation at
37oC. Analysis of variance (ANOVA) revealed high coefficient of
determination (R2) of 0.99. Maximum cellulase productivity of 11.5
IU/ml was observed against the model predicted value of 13 IU/ml.
This was found to be optimally active at 60oC and pH 5.5.
Abstract: The restrained construction zoning, an important part
in the urban master plan, is a necessary planning tool to control the city
sprawl, to guarantee the reservation implementation of the various
types of protective elements, and to realize the storage of the essential
urban spatial resources. Simultaneously, owing to the diverse
constitutes of restrained construction area and the various stakeholders
involved in, its planning requires an overall consideration of all
elements from the perspective of coordination+, balance and
practicability to deal with the problems and conflicts in this process.
Taking Yangzijin Ecological Restrained Construction Area in
Yangzhou as an example, this study analyzes all the potential actors,
agencies and stakeholders in this restrained construction area, as well
as the relevant conflicts between each other. Besides, this study tries to
build up a planning procedure based on the framework of governance
theory, and proposes a possible planning method that combines
"rigidity" and "flexibility" to protect the ecological limitation
boundary, to take every interest into account, and to promote economic
development in a harmonious society.
Abstract: The inherent skin patterns created at the joints in the
finger exterior are referred as finger knuckle-print. It is exploited to
identify a person in a unique manner because the finger knuckle print
is greatly affluent in textures. In biometric system, the region of
interest is utilized for the feature extraction algorithm. In this paper,
local and global features are extracted separately. Fast Discrete
Orthonormal Stockwell Transform is exploited to extract the local
features. Global feature is attained by escalating the size of Fast
Discrete Orthonormal Stockwell Transform to infinity. Two features
are fused to increase the recognition accuracy. A matching distance is
calculated for both the features individually. Then two distances are
merged mutually to acquire the final matching distance. The
proposed scheme gives the better performance in terms of equal error
rate and correct recognition rate.
Abstract: This study evaluated the use of raw or processed
Prosopis juliflora (Meskit) pods as a major ingredient in a formulated
ration to provide an alternative non-conventional concentrate for
livestock feeding in Oman. Dry Meskit pods were reduced to lengths
of 0.5- 1.0 cm to ensure thorough mixing into three diets. Meskit
pods were subjected to two types of treatments; roasting and soaking.
They were roasted at 150оC for 30 minutes using a locally-made
roasting device (40 kg barrel container rotated by electric motor and
heated by flame gas cooker). Chopped pods were soaked in tap water
for 24 hours and dried for 2 days under the sun with frequent turning.
The Meskit-pod-based diets (MPBD) were formulated and pelleted
from 500 g/kg ground Meskit pods, 240 g/kg wheat bran, 200 g/kg
barley grain, 50 g/kg local dried sardines and 10 g/kg of salt. Twenty
four 10 months-old intact Omani male lambs with average body
weight of 27.3 kg (± 0.5 kg) were used in a feeding trial for 84 days.
They were divided (on body weight basis) and allocated to four diet
combination groups. These were: Rhodes grass hay (RGH) plus a
general ruminant concentrate (GRC); RGH plus raw Meskit pods
(RMP) based concentrate; RGH plus roasted Meskit pods (ROMP)
based concentrate; RGH plus soaked Meskit pods (SMP) based
concentrate Daily feed intakes and bi-weekly body weights were
recorded. MPBD had higher contents of crude protein (CP), acid
detergent fibre (ADF) and neutral detergent fibre (NDF) than the
GRC. Animals fed various types of MPBD did not show signs of ill
health. There was a significant effect of feeding ROMP on the
performance of Omani sheep compared to RMP and SMP. The
ROMP fed animals had similar performance to those fed the GRC in
terms of feed intake, body weight gain and feed conversion ratio
(FCR).This study indicated that roasted Meskit pods based diet may
be used instead of the commercial concentrate for feeding Omani
sheep without adverse effects on performance. It offers a cheap
alternative source of protein and energy for feeding Omani sheep.
Also, it might help in solving the spread impact of Meskit trees,
maintain the ecosystem and helping in preserving the local tree
species.
Abstract: Qatar, a Gulf country highly dependent on its oil and
gas revenues – is looking to innovate, diversify, and ultimately reach
its aim of creating a knowledge economy to prepare for its post-oil
era. One area that the country is investing in is Contemporary Art,
and world renowned artists such as Damien Hirst and Richard Serra –
have been commissioned to design site-specific art for the public
spaces of the city of Doha as well as in more remote desert locations.
This research discusses the changing presence, role and context of
public art in Doha, both from a historical and cultural overview, and
the different forms and media as well as the typologies of urban and
public spaces in which the art is installed. It examines the process of
implementing site-specific artworks, looking at questions of scale,
history, social meaning and formal aesthetics. The methodologies
combine theoretical research on the understanding of public art and
its role and placement in public space, as well as empirical research
on contemporary public art projects in Doha, based on documentation
and interviews and as well as site and context analysis of the urban or
architectural spaces within which the art is situated. Surveys and
interviews – using social media - in different segments of the
contemporary Qatari society, including all nationalities and social
groups, are used to measure and qualify the impacts and effects on
the population.