Abstract: Headache is one of the most ubiquitous and frequent
neurological disorders interfering with everyday life in all countries.
India appears to be no exception. Objectives are to assess the
prevalence of headache among adult population in urban area of
Varanasi and to find out factors influencing the occurrence of
headache. A community based cross sectional study was conducted
among adult population in urban area of Varanasi district, Uttar
Pradesh, India. Total 151 eligible respondents were interviewed by
simple random sampling technique. Proportion percentage and Chisquare
test were applied for data analysis. Out of 151 respondents,
majority (58.3%) were females. In this study, 92.8% respondents
belonged to age group 18-60 years while 7.2% was either 60 year of
age or above. The overall prevalence of headache was found to be
51.1%. Highest and lowest prevalence of headache was recorded in
age groups 18-29 year & 40-49 year respectively. Headache was
62.1% in illiterate and was 40.0% among graduate & above.
Unskilled workers had more headache 73.1% than other type of
occupation. Headache was more prevalent among unemployed
(35.9%) than employed (6.4%). Females had higher family history of
headache (48.9%) as compared to males (41.3%). Study subjects
having peaceful relation with family members, relatives and
neighbors had more headache than those having no peaceful relation.
Abstract: This research provides a systematic way to study and
better understand double nano-tubular structure of alunina (Al2O3) and
titania (TiO2). The TiO2 NT was prepared by immersing Al2O3
template in 0.02 M titanium fluoride (TiF4) solution (pH=3) at 25 °C
for 120 min, followed by annealing at 450 °C for 1 h to obtain anatase
TiO2 NT in the Al2O3 template. Large-scale development of film for
nanotube-based CO2 capture and conversion can potentially result in
more efficient energy harvesting. In addition, the production process
will be relatively environmentally friendly. The knowledge generated
by this research will significantly advance research in the area of
Al2O3, TiO2, CaO, and Ca2O3 nano-structure film fabrication and
applications for CO2 capture and conversion. This green energy source
will potentially reduce reliance on carbon-based energy resources and
increase interest in science and engineering careers.
Abstract: Study of the effects of climate change on Norway
Spruce (Picea abies) forests has mainly focused on the diversity of
tree species diversity of tree species as a result of the ability of
species to tolerate temperature and moisture changes as well as some
effects of disturbance regime changes. The tree species’ diversity
changes in spruce forests due to climate change have been analyzed
via gap model. Forest gap model is a dynamic model for calculation
basic characteristics of individual forest trees. Input ecological data
for model calculations have been taken from the permanent research
plots located in primeval forests in mountainous regions in Slovakia.
The results of regional scenarios of the climatic change for the
territory of Slovakia have been used, from which the values are
according to the CGCM3.1 (global) model, KNMI and MPI
(regional) models. Model results for conditions of the climate change
scenarios suggest a shift of the upper forest limit to the region of the
present subalpine zone, in supramontane zone. N. spruce
representation will decrease at the expense of beech and precious
broadleaved species (Acer sp., Sorbus sp., Fraxinus sp.). The most
significant tree species diversity changes have been identified for the
upper tree line and current belt of dwarf pine (Pinus mugo)
occurrence. The results have been also discussed in relation to most
important disturbances (wind storms, snow and ice storms) and
phenological changes which consequences are little known. Special
discussion is focused on biomass production changes in relation to
carbon storage diversity in different carbon pools.
Abstract: This paper takes a philosophical view as axiom, and
reveals the relationship between information theory and Natural
Intelligence and Artificial Intelligence under real world conditions.
This paper also derives the relationship between natural intelligence
and nature. According to communication principle of information
theory, Natural Intelligence can be divided into real part and virtual
part. Based on information theory principle that Information does not
increase, the restriction mechanism of Natural Intelligence creativity is
conducted. The restriction mechanism of creativity reveals the limit of
natural intelligence and artificial intelligence. The paper provides a
new angle to observe natural intelligence and artificial intelligence.
Abstract: Social entrepreneurship is a new and exciting topic
that holds a great promise in helping alleviate the social problems of
the world. As a new subject, the meaning of the term is too broad and
this is counterproductive in trying to build understanding around the
concept. The purpose of this study is to identify and compare the
elements of social entrepreneurship as defined by seven international
organizations leading social entrepreneurship projects: Ashoka
Foundation, Skoll Foundation, Schwab Foundation and Yunus
Center; as well as from three other institutions fostering social
entrepreneurship: Global Social Benefit Institute, BRAC University,
and Socialab. The study used document analysis from Skoll
Foundation, Schwab Foundation, Yunus Center and Ashoka
Foundation; and open ended interview to experts from the Global
Social Benefit Institute at Santa Clara University in United States,
BRAC University from Bangladesh, and Socialab from Argentina.
The study identified three clearly differentiated schools of thought,
based on their views on revenue, scalability, replicability and
geographic location. While this study is by no means exhaustive, it
provides an indication of the patterns of ideas fostered by important
players in the field. By clearly identifying the similarities and
differences in the concept of social entrepreneurship, research and
practitioners are better equipped to build on the subject, and to
promote more adequate and accurate social policies to foster the
development of social entrepreneurship.
Abstract: In nearly all earthquakes of the past century that
resulted in moderate to significant damage, the occurrence of postearthquake
fire ignition (PEFI) has imposed a serious hazard and
caused severe damage, especially in urban areas. In order to reduce
the loss of life and property caused by post-earthquake fires, there is
a crucial need for predictive models to estimate the PEFI risk. The
parameters affecting PEFI risk can be categorized as: 1) factors
influencing fire ignition in normal (non-earthquake) condition,
including floor area, building category, ignitability, type of appliance,
and prevention devices, and 2) earthquake related factors contributing
to the PEFI risk, including building vulnerability and earthquake
characteristics such as intensity, peak ground acceleration, and peak
ground velocity. State-of-the-art statistical PEFI risk models are
solely based on limited available earthquake data, and therefore they
cannot predict the PEFI risk for areas with insufficient earthquake
records since such records are needed in estimating the PEFI model
parameters. In this paper, the correlation between normal condition
ignition risk, peak ground acceleration, and PEFI risk is examined in
an effort to offer a means for predicting post-earthquake ignition
events. An illustrative example is presented to demonstrate how such
correlation can be employed in a seismic area to predict PEFI hazard.
Abstract: In this study, natural bentonite was used as natural
clay material and samples were taken from the Kalecik district in
Ankara. In this research, bentonite is the subject of an analysis from
standpoint of assessing the basic properties of engineered barriers
with respect to the buffer material. Bentonite and sand mixtures were
prepared for tests. Some of clay minerals give relatively higher
hydraulic conductivity and lower swelling pressure. Generally,
hydraulic conductivity of these type clays is lower than
Abstract: Introduction: Craniopharyngiomas (CPs) are rare epithelial tumors located mainly in the sellar/parasellar region. CPs have been classified histopathologically, genetically, clinically and prognostically into two distinctive subtypes: adamantinomatous and papillary variants. Aim: To examine the pattern of expression of both the β-catenin and epidermal growth factor receptor (EGFR) in surgically resected samples of adamantinomatous CP, and to asses for the possibility of using anti-EGFR in the management of ACP patients. Materials and methods: β-catenin and EGFR immunostaining was performed on paraffin-embedded tissue sections of 18 ACP cases. Result: 17 out of 18 cases (94%) of ACP exhibited strong nuclear/cytoplasmic expression of β-catenin, 15 (83%) of APC cases were positive for EGFR. Conclusion: Nuclear accumulation of β-catenin is a diagnostic hallmark of ACP. EGFR positivity in most cases of ACP could qualify the use of anti-EGFR therapy.
Abstract: During an earthquake, a bridge crane may be
subjected to multiple impacts between crane wheels and rail. In order
to model such phenomena, a time-history dynamic analysis with a
multi-scale approach is performed. The high frequency aspect of the
impacts between wheels and rails is taken into account by a Lagrange
explicit event-capturing algorithm based on a velocity-impulse
formulation to resolve contacts and impacts. An implicit temporal
scheme is used for the rest of the structure. The numerical coupling
between the implicit and the explicit schemes is achieved with a
heterogeneous asynchronous time-integrator.
Abstract: Within Vietnam's system of higher education, its
schools of business play a vital role in supporting the country’s
economic objectives. However, the crucial contribution of soft skills
for maximal success within the business sector has to date not been
adequately recognized by its business schools. This being so, the
development of the business school curriculum in Vietnam has not
been able to 'catch up', so to say, with the burgeoning need of
students for a comprehensive soft skills program designed to meet the
national and global business objectives of their potential employers.
The burden of the present paper is first to reveal the results of our
survey in Vietnam which make explicit the extent to which major
Vietnamese industrial employers’ value the potential role that soft
skill competencies can play in maximizing business success. Our
final task will be to determine which soft skills employers discern as
best serving to maximize the economic interests of Vietnam within
the global marketplace. Semi-structured telephone interviews have
been conducted with the 15 representative Head Employers of
Vietnam's reputedly largest and most successful of the diverse
business enterprises across Vietnam. The findings of the study
indicate that all respondents highly value the increasing importance
of soft skills in business success. Our critical analysis of respondent
data reveals that 19 essential soft skills are deemed by employers as
integral to business workplace efficacy and should thus be integrated
into the formal business curriculum. We are confident that our study
represents the first comprehensive and specific survey yet undertaken
within the business sector in Vietnam which accesses and analyses
the opinions of representative employers from major companies
across the country in regard to the growing importance of 19 specific
soft skills essential for maximizing overall business success. Our
research findings also reveal that the integration into business school
curriculums nationwide of the soft skills we have identified is of
paramount importance to advance the national and global economic
interests of Vietnam.
Abstract: Connected vehicles are equipped with wireless sensors
that aid in Vehicle to Vehicle (V2V) and Vehicle to Infrastructure
(V2I) communication. These vehicles will in the near future
provide road safety, improve transport efficiency, and reduce traffic
congestion. One of the challenges for connected vehicles is how
to ensure that information sent across the network is secure. If
security of the network is not guaranteed, several attacks can occur,
thereby compromising the robustness, reliability, and efficiency of
the network. This paper discusses existing security mechanisms and
unique properties of connected vehicles. The methodology employed
in this work is exploratory. The paper reviews existing security
solutions for connected vehicles. More concretely, it discusses
various cryptographic mechanisms available, and suggests areas
of improvement. The study proposes a combination of symmetric
key encryption and public key cryptography to improve security.
The study further proposes message aggregation as a technique to
overcome message redundancy. This paper offers a comprehensive
overview of connected vehicles technology, its applications, its
security mechanisms, open challenges, and potential areas of future
research.
Abstract: Classification is an important data mining technique
and could be used as data filtering in artificial intelligence. The
broad application of classification for all kind of data leads to be
used in nearly every field of our modern life. Classification helps us
to put together different items according to the feature items decided
as interesting and useful. In this paper, we compare two
classification methods Naïve Bayes and ADTree use to detect spam
e-mail. This choice is motivated by the fact that Naive Bayes
algorithm is based on probability calculus while ADTree algorithm is
based on decision tree. The parameter settings of the above
classifiers use the maximization of true positive rate and
minimization of false positive rate. The experiment results present
classification accuracy and cost analysis in view of optimal classifier
choice for Spam Detection. It is point out the number of attributes to
obtain a tradeoff between number of them and the classification
accuracy.
Abstract: Imazu Bay plays an important role for endangered
species such as horseshoe crabs and black-faced spoonbills that stay in
the bay for spawning or the passing of winter. However, this bay is
semi-enclosed with slow water exchange, which could lead to
eutrophication under the condition of excess nutrient inflow to the bay.
Therefore, quantification of nutrient inflow is of great importance.
Generally, analysis of nutrient inflow to the bays takes into
consideration nutrient inflow from only the river, but that from
groundwater should not be ignored for more accurate results. The main
objective of this study is to estimate the amounts of nutrient inflow
from river and groundwater to Imazu Bay by analyzing water budget
in Zuibaiji River Basin and loads of T-N, T-P, NO3-N and NH4-N. The
water budget computation in the basin is performed using groundwater
recharge model and quasi three-dimensional two-phase groundwater
flow model, and the multiplication of the measured amount of nutrient
inflow with the computed discharge gives the total amount of nutrient
inflow to the bay. In addition, in order to evaluate nutrient inflow to the
bay, the result is compared with nutrient inflow from geologically
similar river basins. The result shows that the discharge is 3.50×107
m3/year from the river and 1.04×107 m3/year from groundwater. The
submarine groundwater discharge accounts for approximately 23 % of
the total discharge, which is large compared to the other river basins. It
is also revealed that the total nutrient inflow is not particularly large.
The sum of NO3-N and NH4-N loadings from groundwater is less than
10 % of that from the river because of denitrification in groundwater.
The Shin Seibu Sewage Treatment Plant located below the observation
points discharges treated water of 15,400 m3/day and plans to increase
it. However, the loads of T-N and T-P from the treatment plant are 3.9
mg/L and 0.19 mg/L, so that it does not contribute a lot to
eutrophication.
Abstract: The housing industry is crucial for sustainable
development of every country. Housing is a basic need that can
enhance the quality of life. Owning a house is therefore the main aim
of individuals. However, affordability has become a critical issue
towards homeownership. In recent years, housing price in the main
cities has increased tremendously to unaffordable level. This paper
investigates factors influencing the housing price from developer’s
perspective and provides recommendation on strategies to tackle this
issue. Online and face-to-face survey was conducted on housing
developers operating in Penang, Malaysia. The results indicate that
(1) location; (2) macroeconomics factor; (3) demographic factors; (4)
land/zoning and; (5) industry factors are the main factors influencing
the housing price. This paper contributes towards better
understanding on developers’ view on how the housing price is
determined and form a basis for government to help tackle the
housing affordability issue.
Abstract: The main purposes of this study are to develop a scale
that reflects emerging theoretical understandings of new media
credibility, based on the evolution of credibility studies in western
researches, identification of the determinants of credibility in the
media and its components by comparing traditional and new media
credibility scales and building accumulative scale to test new media
credibility. This approach was built on western researches using
conceptualizations of media credibility, which focuses on four
principal components: Source (journalist), message (article), medium
(newspaper, radio, TV, web, etc.), and organization (owner of the
medium), and adding user and cultural context as key components to
assess new media credibility in particular. This study’s value lies in
its contribution to the conceptualization and development of new
media credibility through the creation of a theoretical measurement
tool. Future studies should explore this scale to test new media
credibility, which represents a promising new approach in the efforts
to define and measure credibility of all media types.
Abstract: The aim of the paper is to investigate the effect of
corporate social responsibility (CSR) CSR on the National
Commercial Bank (NCB) in Saudi Arabia. In order to achieve this, a
case study was made of the CSR activities of this bank from the
perspective of its branch managers. The NCB was chosen as it was
one of the first Saudi banks to engage in CSR and currently has a
wide range of CSR initiatives. A qualitative research method was
used. Open-ended questionnaires were administered to eighty branch
managers of the NCB, with fifty-five usable questionnaires returned
and twenty managers were interviewed as part of the primary
research. Data from both questionnaires and interviews were
analysed using qualitative content analysis. Six themes emerged from
the questionnaire findings were used to develop the interview
questions. These themes are the following: Awareness of employees
about CSR in the NCB; CSR activities as a type of investment;
Government and media support; Increased employee loyalty in the
NCB; Prestige and profit to the NCB; and View of CSR in Islam.
This paper makes a theoretical contribution in that it investigates and
increases understanding of the effect of CSR on the NCB in Saudi
Arabia. In addition, it makes a practical contribution by making
recommendations which can support the development of CSR in the
NCB. A limitation of the paper is that it is a case study of only one
bank. It is therefore recommended that future research could be
conducted with other banks in Saudi Arabia, or indeed, with a range
of other types of firm within the financial services area in Saudi
Arabia. In this way, the same issues could be explored but with a
greater potential generalisability of findings of CSR within the Saudi
Arabian financial services industry. In addition, this paper takes a
qualitative approach and it is suggested that future research be carried
out using mixed methods, which could provide a greater depth of
analysis.
Abstract: Discrimination against women and girls impairs progress in all domains of development articulated either in the framework of Millennium Development Goals (MDGs) or in the Post-2015 Development Agenda. Paper aspires to create greater awareness among researchers and policy makers of the challenges posed by gender gaps and the opportunities created by reducing them within the Arab region. The study reveals how Arab countries are closing in on gender-oriented targets of the third and fifth MDGs. While some countries can claim remarkable achievements particularly in girls’ equality in education, there is still a long way to go to keep Arab’s commitments to current and future generations in other countries and subregions especially in the economic participation or in the political empowerment of women. No country has closed or even expected to close the economic participation gap or the political empowerment gap. This should provide the incentive to keep moving forward in the Post-2015 Agenda. Findings of the study prove that while Arab states have uneven achievements in reducing maternal mortality, Arab women remain at a disadvantage in the labour market. For Arab region especially LDCs, improving maternal health is part of the unmet agenda for the post-2015 period and still calls for intensified efforts and procedures. While antenatal care coverage is improving across the Arab region, progress is marginal in LDCs. To achieve proper realization of gender equality and empowerment of women in the Arab region in the post-2015 agenda, the study presents critical key challenges to be addressed. These challenges include: Negative cultural norms and stereotypes; violence against women and girls; early marriage and child labour; women’s limited control over their own bodies; limited ability of women to generate their own income and control assets and property; gender-based discrimination in law and in practice; women’s unequal participation in private and public decision making autonomy; and limitations in data. However, in all Arab states, gender equality must be integrated as a goal across all issues, particularly those that affect the future of a country.
Abstract: This paper empirically investigates the relationship between Sabah state core tourism products and its destination image. Through a descriptive design using a quantitative method with a self-reported and self-administered questionnaire, this research surveyed the individual international tourists who had visited Sabah and experienced the state’s core tourism products. The research findings clearly indicate that Sabah, one of the states in Malaysia has a lot of valuable resources in the eyes of the international tourists. Interestingly, it was found that Sabah’s core tourism products namely unique marine resources, various nature attractions and cultural diversities have undoubtedly contributed to the state’s tourism image. Good feedbacks and the promising insights from the international tourists’ point of view offer varying consequences, repercussion, and implication to the state government and the relevant authorities. Collaboration and cooperation between all responsible authorities are therefore crucial in strengthening the “total tourism experience” among the international tourists in this state.
Abstract: Solid particle erosion has been identified as a critical wear phenomenon which takes place during operation of aeroengines in dusty environment. The present work discusses the erosion behavior of Ti-44.5Al-6.25Nb-0.8Mo-0.1B alloy (TNB-V4) which finds its application in low pressure gas turbines and can be used for high pressure compressors too. Prior to the erosion tests, the alloy was heat treated to improve the mechanical properties. Afterwards, specimens were eroded at impact angles of 30° and 90° at room and high temperatures (100 °C-400 °C). Volume loss and erosion behavior are studied through gravimetric analysis, whereas erosion mechanisms are characterized through scanning electron microscopy. The results indicate a clear difference in the erosion mechanism for different impact angles. The influence of the test temperature on the erosion behavior of the alloy is also discussed in the present contribution.
Abstract: Edge detection is one of the most important tasks in image processing. Medical image edge detection plays an important role in segmentation and object recognition of the human organs. It refers to the process of identifying and locating sharp discontinuities in medical images. In this paper, a neuro-fuzzy based approach is introduced to detect the edges for noisy medical images. This approach uses desired number of neuro-fuzzy subdetectors with a postprocessor for detecting the edges of medical images. The internal parameters of the approach are optimized by training pattern using artificial images. The performance of the approach is evaluated on different medical images and compared with popular edge detection algorithm. From the experimental results, it is clear that this approach has better performance than those of other competing edge detection algorithms for noisy medical images.