30 research outputs found
Patterns and Pathways: Applying Social Network Analysis to Understand User Behavior in the Tourism Industry Websites
The contemporary tourism landscape is undergoing rapid digitization,
necessitating a nuanced comprehension of online user behavior to guide
data-driven decision-making. This research bridges an existing gap by
investigating the tourism website ecosystem through social network analysis. It
focuses specifically on inter-website communication patterns based on user
navigation. Data mining facilitates the identification of 162 core Iranian
tourism websites, which are visualized as an interconnected network with
websites as nodes and user transitions as weighted directed edges. By
implementing community detection, eight key clusters are discerned,
encompassing domains like ticket/tour bookings, accommodations, location
services, and cuisine. Further analysis of inter-community relationships
reveals website groupings frequently accessed together by users, highlighting
complementary services sought during travel planning. The research derives
invaluable insights into user preferences and information propagation within
the tourism ecosystem. The methodology and findings contribute original
perspectives to academia while offering pragmatic strategic recommendations to
industry stakeholders like service providers, investors, and policymakers. This
pioneering exploration of latent user behavior patterns advances comprehension
of the evolving digital tourism landscape in Iran. It contributes pathways
toward a sustainable future vision of the ecosystem, guiding stakeholders in
targeted decision-making based on empirical evidence derived from social
network analysis of websites and consumption patterns. The innovative
methodology expands the toolkit for data-driven tourism research within
academia
Connecting the Dots: Leveraging Social Network Analysis to Understand and Optimize Collaborative Dynamics Within the Global Film Production Network
In recent years, the global film industry has observed a notable surge in
international cooperation and cross-border investments. However, a
comprehensive overview of these collaborative investments within the industry
is lacking. This study employs social network analysis to delve into the
possibilities that lie in collaborative efforts and joint investments within
the film sector. The research constructs a network of 150 countries based on
shared creative elements in their film productions, comprising over 7800
interconnected links. Employing measures of centrality, certain pivotal nations
such as the United States, China, and England emerge as influential nodes,
showcasing a strong potential to steer industry growth through collaborative
engagement. Through a more detailed exploration involving community
identification, distinct clusters centered around thematic commonalities that
have converged through joint creative endeavors become evident. For example,
the "Global Thrill Seekers" community focuses on action films, whereas the
"Cultural-Social Cinema Group" addresses worldwide cultural and social issues.
Each of these communities presents distinctive perspectives for international
cooperation and the collaborative creation of content. This analysis
significantly enhances our understanding of the global film network's structure
and dynamics, while concurrently highlighting promising pathways for future
investment and collaborative initiatives. The research underscores the critical
role of leveraging social network analysis methodologies to optimize informed
decision-making concerning collaborative investments, thereby paving the way
for anticipatory outcomes. This study not only contributes insights but also
serves as a model for investigating data-centric participation within the
creative industries
Charcot–Marie–Tooth disease: Genetics, epidemiology and complications
Background and aims: Charcot Marie Tooth disease (CMT) is the most prevalent hereditary neuropathy and its frequency is 1 in 2500. CMT is a heterogeneous disease and has different clinical symptoms. The prevalence of CMT and involved genes differ in different countries. CMT patients experience considerable sleep problems and a higher risk of decreased quality of life. In this work it was aimed to provide a review on the genetic and epidemiologic aspects of this disease. Methods: In the current review article, we performed a literature search on the epidemiology of Charcot–Marie–Tooth disease” and provided a brief review on epidemiology, genetic, and complications of CMT. Databases Web of Science and PubMed were searched using the Endnote software for the publications on CMT during 2000 to 2016. Results: Charcot Marie Tooth disease has different prevalence around the world and is the most common neuropathy. Epidemiological studies have estimated the prevalence of CMT in Japan 1/9200, in Iceland 1/8300, in Spain 1/3500 and in Italy 1/5700.The patients have different phenotype and the age of onset. There is a variety of inherited patterns of disease and many genes have been identified responsible whose mutations are main cause of the disease. Conclusion: Due to the impact of this kind of disabilities on the national health, further studies seem to be necessary to gain better knowledge of the disease particularly in the regions with higher prevalence. Moreover molecular biology services offered by genetic laboratories can reduce the incidence of disorder
Trade War and the Balanced Trade-Monetary Theory
One of the longest-lasting controversies in the international macroeconomic literature is the purchasing power parity theory. It is the most controversial subject that has been tested with various econometric models in different timeframes and geographic data sets. It is a common assumption used regarding the exchange rate and the validity of the Law of One Price. The present article aimed to present a new model to estimate the fair value of exchange rate which is one of the most critical factors in trade balance among countries, based on balanced trade-monetary theory by assessing the under or over-valuation of currencies. We can assume that a country with a strong economy should have strong money and vice versa. The results showed undervaluation of the dollar versus Yuan, Pound and Yen by 1.41, 1.149, and 1.126 times, respectively in 2018. Therefore, among the U.K., China, and Japan, Japan and the U.K. had a better trade balance with the U.S. than Chin
Recent Advancements in Aptamer-bioconjugates: Sharpening Stones for Breast and Prostate Cancers Targeting
Breast and prostate cancers are common types of cancers with various strategies, such as chemotherapy and radiotherapy, for their therapy. Since these methods have undesired side effects and poor target affinity, neoteric strategies—known as aptamer-based smart drug delivery systems (SDDSs)—have been developed in recent years to overcome the obstacles of current treatment, and investigated for a clinical trial. The high affinity and versatility of aptamers for binding to the corresponding targets make them highly noticeable agents in the drug delivery domains. In addition to their exceptional benefits, aptamers are able to overcome tumor resistance because of their high selectivity and low toxicity. Furthermore, aptamers can conjugate with various drugs, nanoparticles and antibodies and effectively deliver them to the specific breast and prostate cells. This review highlights the current researches in aptamer-conjugate developments for targeting breast and prostate cancers, with the special focus on the nanoparticle-aptamer bioconjugates, systematic evolution of ligands by exponential enrichment (SELEX) system and SDDS, especially cutting-edge articles from 2008 to present. Finally, the future prospects and challenges are described
Burgeoning Polymer Nano Blends for Improved Controlled Drug Release: A Review
With continual rapid developments in the biomedical field and understanding of the important mechanisms and pharmacokinetics of biological molecules, controlled drug delivery systems (CDDSs) have been at the forefront over conventional drug delivery systems. Over the past several years, scientists have placed boundless energy and time into exploiting a wide variety of excipients, particularly diverse polymers, both natural and synthetic. More recently, the development of nano polymer blends has achieved noteworthy attention due to their amazing properties, such as biocompatibility, biodegradability and more importantly, their pivotal role in controlled and sustained drug release in vitro and in vivo. These compounds come with a number of effective benefits for improving problems of targeted or controlled drug and gene delivery systems; thus, they have been extensively used in medical and pharmaceutical applications. Additionally, they are quite attractive for wound dressings, textiles, tissue engineering, and biomedical prostheses. In this sense, some important and workable natural polymers (namely, chitosan (CS), starch and cellulose) and some applicable synthetic ones (such as poly-lactic-co-glycolic acid (PLGA), poly(lactic acid) (PLA) and poly-glycolic acid (PGA)) have played an indispensable role over the last two decades for their therapeutic effects owing to their appealing and renewable biological properties. According to our data, this is the first review article highlighting CDDSs composed of diverse natural and synthetic nano biopolymers, blended for biological purposes, mostly over the past five years; other reviews have just briefly mentioned the use of such blended polymers. We, additionally, try to make comparisons between various nano blending systems in terms of improved sustained and controlled drug release behavior
Strict topology as a mixed topology on Lebesgue spaces
Let be a locally compact space, and \Lz be the space of all
essentially bounded -measurable functions on
vanishing at infinity. We introduce and study a locally convex
topology on the Lebesgue space \Lo such that
the strong dual of (\Lo,\beta^1(X,\iota)) can be identified with
(\Lz,\|.\|_\infty). Next by showing that
topology can be considered as a natural mixed topology, we deduce
some of its basic properties. Finally, as an application, we prove
that , the group algebras of a locally compact Hausdorff
topological group , equipped with the convolution
multiplication is a complete semi-topological algebra under
topology.
doi:10.1017/S000497271100258
On the second conjugate of the Weighted semigroup Algebra for a locally compact semigroup
Click on the link to view the abstract.Quaestiones Mathematicae 35(2012), 219-22
Exploring the needs of family caregivers of children with attention deficit hyperactivity disorder: A qualitative study
Background: Attention deficit hyperactivity disorder (ADHD) is one of the most common chronic childhood disorders that lead to dysfunction and disability in childhood and subsequently be careful. This study aimed to understand the needs of the children's caregivers in Iran. Materials and Methods: This qualitative research was conducted in 2016. Using purposive sampling, 27 participants from 20 families of children with ADHD were interviewed. Unstructured interviews were conducted within 6 months in Isfahan. Data gathering continued until no new data were accessed. Data were analyzed using qualitative content analysis. Results: The results of this research are shown in three main categories: (1) The caregiver's need for having sufficient information about the disorder, its cause and treatments (pharmacological and nonpharmacological); (2) the need to have enough knowledge about communication problems while caring for a sick child; and (3) the need to improve the performance of care. They were classified under the relevant concept. Conclusions: Caregivers of children with ADHD have different needs and problems and assessing them would decrease the child's problems and consequently, the family's problems. It would also increase the sense of control and authority over the child's condition in the caregivers. Since this disorder is chronic and permanent, ignoring the needs of caregivers not only would cut the process of the child's treatment but would also intensify the family's and child's problems. So it is recommended to conduct further studies about each of the resulted concepts in this study and the obstacles for reaching them
Evaluating the effect of a need-based program for caregivers on the stress, anxiety, depression, and the burden of care in families of children with attention deficit-hyperactive disorder
Background: Attention-deficit hyperactive disorder (ADHD) is the most common behavioral disorder of childhood, and due to its chronic nature, it would affect all the aspects of life of the child and the caregiver. Therefore, this study was conducted to determine the effect of a program based on the needs of caregivers on stress, anxiety, depression, and burden of care in families of children with ADHD. Materials and Methods: This randomized clinical trial was conducted on 70 family caregivers of children with ADHD from June to September of 2016. After convenience sampling, eligible samples were randomly allocated into two groups of control and intervention. The intervention group received the need-based educational program in eight sessions and the participants of the control group participated in two group sessions where they expressed their problems and experiences. Data were gathered through Zarit Burden Interview and Depression Anxiety and Stress Scale (DASS)-42 and then were analyzed using descriptive and inferential statistics. Results: The mean scores of stress, anxiety, depression, and burden of care had a significant difference between both groups right after and 1 month after the intervention (p < 0.001), whereas in the control group, there was no gradual decrease in the mean scores of the dependent variables. Conclusions: The need-based educational program might reduce the level of stress, anxiety, depression, and burden of care in families of children with ADHD. It is recommended to develop similar programs and evaluate them through various studies. The use of nonpharmacological treatment of these children is evident in the results