Abstract: ANDASA is a knowledge management platform for
the capitalization of knowledge and cultural assets for the artistic and
cultural sectors. It was built based on the priorities expressed by the
participating artists. Through mapping artistic activities and
specificities, it enables to highlight various aspects of the artistic
research and production. Such instrument will contribute to create
networks and partnerships, as it enables to evidentiate who does
what, in what field, using which methodology. The platform is
accessible to network participants and to the general public.
Abstract: In order to study the effect of different levels of triple
super phosphate chemical fertilizer and biological phosphate fertilizer
(fertile 2) on some morphological traits of corn this research was
carried out in Ahvaz in 2002 as a factorial experiment in randomized
complete block design with 4 replications). The experiment included
two factors: first, biological phosphate fertilizer (fertile 2) at three
levels of 0, 100, 200 g/ha; second, triple super phosphate chemical
fertilizer at three levels of 0, 60, 90 kg/ha of pure phosphorus (P2O5).
The obtained results indicated that fertilizer treatments had a
significant effect on some morphological traits at 1% probability
level. In this regard, P2B2 treatment (100 g/ha biological phosphate
fertilizer (fertile 2) and 60 kg/ha triple super phosphate fertilizer) had
the greatest plant height, stem diameter, number of leaves and ear
length. It seems that in Ahvaz weather conditions, decrease of
consumption of triple superphosphate chemical fertilizer to less than
a half along with the consumption of biological phosphate fertilizer
(fertile 2) is highly important in order to achieve optimal results.
Therefore, it can be concluded that biological fertilizers can be used
as a suitable substitute for some of the chemical fertilizers in
sustainable agricultural systems.
Abstract: Experiential marketing is one of the marketing
approaches that offer an exceptional framework to integrate elements
of experience and entertainment in a product or service. Experiential
marketing is defined as a memorable experience that goes deeply into
the customer’s mind. Besides that, customer satisfaction is defined as
an emotional response to the experiences provided by and associated
with particular products or services purchased. Thus, experiential
marketing activities can affect the level of customer satisfaction and
loyalty. In this context, the research aims to explore the relationship
among experiential marketing, customer satisfaction and customer
loyalty among the cosmetic products customers in Konya. The partial
least squares (PLS) method is used to analyze the survey data.
Findings of the present study revealed that experiential marketing has
been a significant predictor of customer satisfaction and customer
loyalty, and also experiential marketing has a significantly positive
effect on customer satisfaction and customer loyalty.
Abstract: Crops diversity and maintaining and enhancing the
fertility of agricultural lands are basic principles of organic farming.
With a wider range of crops in agroecosystem can improve the ability
to control weeds, pests and diseases, and the performance of crops
rotation and food safety. In this sense, the main objective of the
research was to study the productivity and chemical composition of
some alternative crops and their adaptability to soil and climatic
conditions of the agricultural area in Southern Romania and to
cultivation in the organic farming system. The alternative crops were:
lentil (7 genotypes); five species of grain legumes (5 genotypes); four
species of oil crops (5 genotypes). The seed production was, on
average: 1343 kg/ha of lentil; 2500 kg/ha of field beans; 2400 kg/ha
of chick peas and blackeyed peas; more than 2000 kg/ha of atzuki
beans, over 1250 kg/ha of fenugreek; 2200 kg/ha of safflower; 570
kg/ha of oil pumpkin; 2150 kg/ha of oil flax; 1518 kg/ha of camelina.
Regarding chemical composition, lentil seeds contained: 22.18%
proteins, 3.03% lipids, 33.29% glucides, 4.00% minerals, and 259.97
kcal energy values. For field beans: 21.50% proteins, 4.40% lipids,
63.90% glucides, 5.85% minerals, 395.36 kcal energetic value. For
chick peas: 21.23% proteins, 4.55% lipids, 53.00% glucides, 3.67%
minerals, 348.22 kcal energetic value. For blackeyed peas: 23.30%
proteins, 2.10% lipids, 68.10% glucides, 3.93% minerals, 350.14 kcal
energetic value. For adzuki beans: 21.90% proteins, 2.60% lipids,
69.30% glucides, 4.10% minerals, 402.48 kcal energetic value. For
fenugreek: 21.30% proteins, 4.65% lipids, 63.83% glucides, 5.69%
minerals, 396.54 kcal energetic value. For safflower: 12.60%
proteins, 28.37% lipids, 46.41% glucides, 3.60% minerals, 505.78
kcal energetic value. For camelina: 20.29% proteins, 31.68% lipids,
36.28% glucides, 4.29% minerals, 526.63 kcal energetic value. For
oil pumpkin: 29.50% proteins, 36.92% lipids, 18.50% glucides,
5.41% minerals, 540.15 kcal energetic value. For oil flax: 22.56%
proteins, 34.10% lipids, 27.73% glucides, 5.25% minerals, 558.45
kcal energetic value.
Abstract: The use of engineered nanomaterials has increased as
a result of their positive impact on many sectors of the economy,
including agriculture. Silver nanoparticles (AgNPs) are now used to
enhance seed germination, plant growth, and photosynthetic quantum
efficiency and as antimicrobial agents to control plant diseases. In
this study, we examined the effect of AgNP dosage on the seed
germination of three plant species: corn (Zea mays L.), watermelon
(Citrullus lanatus [Thunb.] Matsum. & Nakai) and zucchini
(Cucurbita pepo L.). This experiment was designed to study the
effect of AgNPs on germination percentage, germination rate, mean
germination time, root length and fresh and dry weight of seedlings
for the three species. Seven concentrations (0.05, 0.1, 0.5, 1, 1.5, 2
and 2.5 mg/ml) of AgNPs were examined at the seed germination
stage. The three species had different dose responses to AgNPs in
terms of germination parameters and the measured growth
characteristics. The germination rates of the three plants were
enhanced in response to AgNPs. Significant enhancement of the
germination percentage values was observed after treatment of the
watermelon and zucchini plants with AgNPs in comparison with
untreated seeds. AgNPs showed a toxic effect on corn root
elongation, whereas watermelon and zucchini seedling growth were
positively affected by certain concentrations of AgNPs. This study
showed that exposure to AgNPs caused both positive and negative
effects on plant growth and germination.
Abstract: The current paper presents an extensive bottom-up
framework for assessing building sector-specific vulnerability to
climate change: energy supply and demand. The research focuses on
the application of downscaled seasonal models for estimating energy
performance of buildings in Greece. The ARW-WRF model has
been set-up and suitably parameterized to produce downscaled
climatological fields for Greece, forced by the output of the CFSv2
model. The outer domain, D01/Europe, included 345 x 345 cells of
horizontal resolution 20 x 20 km2 and the inner domain, D02/Greece,
comprised 180 x 180 cells of 5 x 5 km2 horizontal resolution. The
model run has been setup for a period with a forecast horizon of 6
months, storing outputs on a six hourly basis.
Abstract: Residential block construction of big cities in China
began in the 1950s, and four models had far-reaching influence on
modern residential block in its development process, including unit
compound and residential district in 1950s to 1980s, and gated
community and open community in 1990s to now. Based on analysis
of the four models’ fabric, the article takes residential blocks in
Hangzhou west area as an example and carries on the studies from
urban structure level and block spacial level, mainly including urban
road network, land use, community function, road organization, public
space and building fabric. At last, the article puts forward “Semi-open
Sub-community” strategy to improve the current fabric.
Abstract: Sustainability is a very important and heavily
discussed subject, expanding through tourism as well. The study
proposition was to collect data and present it to the competent bodies
so they can mold their public policies to improve the conditions of
the site. It was hypothesized that the lack of data is currently
affecting the quality of life and the sustainable development of the
site and the tourism. The research was held in Mateiros, a city in the
state of Tocantins (TO)/Brasil near Palmas, its capital city. Because
of the concentration of tourists during the high season and several
tourist attractions being around, the research took place in Mateiros.
The methodological procedure had a script of theoretical construction
and investigation of the deductive scientific method parameters
through a case study in the Jalapão/TO/Brazil region, using it as a
tool for a questionnaire given to the competent bodies in an interview
system with the UN sustainability indexes as a base. In the three
sustainable development scope: environmental, social and economic,
the results indicated that the data presented by the interviewed were
scarce or nonexistent. It shows that more research is necessary,
providing the tools for the ones responsible to propose action plans to
improve the site, strengthening the tourism and making it even more
sustainable.
Abstract: The enormous amount of information stored on the
web increases from one day to the next, exposing the web currently
faced with the inevitable difficulties of research pertinent information
that users really want. The problem today is not limited to expanding
the size of the information highways, but to design a system for
intelligent search. The vast majority of this information is stored in
relational databases, which in turn represent a backend for managing
RDF data of the semantic web. This problem has motivated us to
write this paper in order to establish an effective approach to support
semantic transformation algorithm for SPARQL queries to SQL
queries, more precisely SPARQL SELECT queries; by adopting this
method, the relational database can be questioned easily with
SPARQL queries maintaining the same performance.
Abstract: The goal of this paper is to present the diagnostic
contribution that the screening instrument, Mini-Mental State
Examination-2: Expanded Version (MMSE-2:EV), brings in
detecting the cognitive impairment or in monitoring the progress of
degenerative disorders. The diagnostic signification is underlined by
the interpretation of the MMSE-2:EV scores, resulted from the test
application to patients with mild and major neurocognitive disorders.
The cases were selected from current practice, in order to cover vast
and significant neurocognitive pathology: mild cognitive impairment,
Alzheimer’s disease, vascular dementia, mixed dementia, Parkinson’s
disease, conversion of the mild cognitive impairment into
Alzheimer’s disease. The MMSE-2:EV version was used: it was
applied one month after the initial assessment, three months after the
first reevaluation and then every six months, alternating the blue and
red forms. Correlated with age and educational level, the raw scores
were converted in T scores and then, with the mean and the standard
deviation, the z scores were calculated. The differences of raw scores
between the evaluations were analyzed from the point of view of
statistic signification, in order to establish the progression in time of
the disease. The results indicated that the psycho-diagnostic approach
for the evaluation of the cognitive impairment with MMSE-2:EV is
safe and the application interval is optimal. In clinical settings with a
large flux of patients, the application of the MMSE-2:EV is a safe
and fast psychodiagnostic solution. The clinicians can draw objective
decisions and for the patients: it does not take too much time and
energy, it does not bother them and it doesn’t force them to travel
frequently.
Abstract: Nowadays, technological progress is one of the most
important components of economic growth and the efficiency of
R&D activities is particularly essential for countries. This study is an
attempt to analyze the R&D efficiencies of EU countries. The
indicators related to R&D efficiencies should be determined in
advance in order to use DEA. For this reason a list of input and
output indicators are derived from the literature review. Considering
the data availability, a final list is given for the numerical analysis for
future research.
Abstract: The purpose of the present study is to find the efficacy
of high school student self-assessment of written production. It aimed
to explore the following two research questions: 1) How is topic
development of their written production improved after student
self-assessment and teacher feedback? 2) Does the consistency
between student self-assessment and teacher assessment develop after
student self-assessment and teacher feedback? The data came from the
written production of 82 Japanese high school students aged from 16
to 18 years old, an American English teacher and one Japanese English
teacher. Students were asked to write English compositions, about 150
words, for thirty minutes without using dictionaries. It was conducted
twice at intervals of two months. Students were supposed to assess
their own compositions by themselves. Teachers also assessed
students’ compositions using the same assessment sheet. The results
showed that both teachers and students assessed the second
compositions higher than the first compositions. However, there was
not the development of the consistency in coherence.
Abstract: Sound processing is one the subjects that newly
attracts a lot of researchers. It is efficient and usually less expensive
than other methods. In this paper the flow generated sound is used to
estimate the flow speed of free flows. Many sound samples are
gathered. After analyzing the data, a parameter named wave power is
chosen. For all samples the wave power is calculated and averaged
for each flow speed. A curve is fitted to the averaged data and a
correlation between the wave power and flow speed is found. Test
data are used to validate the method and errors for all test data were
under 10 percent. The speed of the flow can be estimated by
calculating the wave power of the flow generated sound and using the
proposed correlation.
Abstract: This research aims to identify traditional Mon cuisines
as well as gather and classify traditional cuisines of Mon
communities in Bangkok. The studying of this research is used by
methodology of the quantitative research. Using the questionnaire as
the method in collecting information from sampling totally amount of
450 persons analyzed via frequency, percentage and mean value. The
results showed that a variety of traditional Mon cuisines of Bangkok
could split into 6 categories of meat diet with 54 items and 6
categories of desserts with 19 items.
Abstract: The lifetime of a wireless sensor network can be
effectively increased by using scheduling operations. Once the
sensors are randomly deployed, the task at hand is to find the largest
number of disjoint sets of sensors such that every sensor set provides
complete coverage of the target area. At any instant, only one of these
disjoint sets is switched on, while all other are switched off. This
paper proposes a heuristic search method to find the maximum
number of disjoint sets that completely cover the region. A
population of randomly initialized members is made to explore the
solution space. A set of heuristics has been applied to guide the
members to a possible solution in their neighborhood. The heuristics
escalate the convergence of the algorithm. The best solution explored
by the population is recorded and is continuously updated. The
proposed algorithm has been tested for applications which require
sensing of multiple target points, referred to as point coverage
applications. Results show that the proposed algorithm outclasses the
existing algorithms. It always finds the optimum solution, and that
too by making fewer number of fitness function evaluations than the
existing approaches.
Abstract: In this paper, we present a new segmentation approach
for liver lesions in regions of interest within MRI (Magnetic
Resonance Imaging). This approach, based on a two-cluster Fuzzy CMeans
methodology, considers the parameter variable compactness
to handle uncertainty. Fine boundaries are detected by a local
recursive merging of ambiguous pixels with a sequential forward
floating selection with Zernike moments. The method has been tested
on both synthetic and real images. When applied on synthetic images,
the proposed approach provides good performance, segmentations
obtained are accurate, their shape is consistent with the ground truth,
and the extracted information is reliable. The results obtained on MR
images confirm such observations. Our approach allows, even for
difficult cases of MR images, to extract a segmentation with good
performance in terms of accuracy and shape, which implies that the
geometry of the tumor is preserved for further clinical activities (such
as automatic extraction of pharmaco-kinetics properties, lesion
characterization, etc.).
Abstract: In this study, nuclear magnetic resonance
spectroscopy and nuclear quadrupole resonance spectroscopy
parameters of 14N (Nitrogen in imidazole ring) in N–H…O hydrogen
bonding for Histidine hydrochloride monohydrate were calculated via
density functional theory. We considered a five-molecule model
system of Histidine hydrochloride monohydrate. Also we examined
the trends of environmental effect on hydrogen bonds as well as
cooperativity. The functional used in this research is M06-2X which
is a good functional and the obtained results has shown good
agreement with experimental data. This functional was applied to
calculate the NMR and NQR parameters. Some correlations among
NBO parameters, NMR and NQR parameters have been studied
which have shown the existence of strong correlations among them.
Furthermore, the geometry optimization has been performed using
M062X/6-31++G(d,p) method. In addition, in order to study
cooperativity and changes in structural parameters, along with
increase in cluster size, natural bond orbitals have been employed.
Abstract: Steepest descent method is a simple gradient method
for optimization. This method has a slow convergence in heading to
the optimal solution, which occurs because of the zigzag form of the
steps. Barzilai and Borwein modified this algorithm so that it
performs well for problems with large dimensions. Barzilai and
Borwein method results have sparked a lot of research on the method
of steepest descent, including alternate minimization gradient method
and Yuan method. Inspired by previous works, we modified the step
size of the steepest descent method. We then compare the
modification results against the Barzilai and Borwein method,
alternate minimization gradient method and Yuan method for
quadratic function cases in terms of the iterations number and the
running time. The average results indicate that the steepest descent
method with the new step sizes provide good results for small
dimensions and able to compete with the results of Barzilai and
Borwein method and the alternate minimization gradient method for
large dimensions. The new step sizes have faster convergence
compared to the other methods, especially for cases with large
dimensions.
Abstract: Numerical investigations were conducted to study the
influence of flexural reinforcement ratio on the diagonal cracking
strength and ultimate shear strength of reinforced concrete (RC)
beams without stirrups. Three-dimensional nonlinear finite element
analyses (FEAs) of the beams with flexural reinforcement ratios
ranging from 0.58% to 2.20% subjected to a mid-span concentrated
load were carried out. It is observed that the load-deflection and loadstrain
curves obtained from the numerical analyses agree with those
obtained from the experiments. It is concluded that flexural
reinforcement ratio has a significant effect on the shear strength and
deflection capacity of RC beams without stirrups. The predictions of
diagonal cracking strength and ultimate shear strength of beams
obtained by using the equations defined by a number of codes and
researchers are compared with each other and with the experimental
values.
Abstract: This paper presents a state-of-the-art survey of the
operations research models developed for internal audit planning.
Two alternative approaches have been followed in the literature for
audit planning: (1) identifying the optimal audit frequency; and (2)
determining the optimal audit resource allocation. The first approach
identifies the elapsed time between two successive audits, which can
be presented as the optimal number of audits in a given planning
horizon, or the optimal number of transactions after which an audit
should be performed. It also includes the optimal audit schedule. The
second approach determines the optimal allocation of audit frequency
among all auditable units in the firm. In our review, we discuss both
the deterministic and probabilistic models developed for audit
planning. In addition, game theory models are reviewed to find the
optimal auditing strategy based on the interactions between the
auditors and the clients.