Search results for: panel data econometrics
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 24920

Search results for: panel data econometrics

12530 The Study of the Factors Affecting Entrepreneurship in Sport

Authors: Habib Honari

Abstract:

The purpose of this study is an investigation of the factors affecting entrepreneurship in sport from the point of view of experts in this field. This study is a descriptive analytic one and was conducted as a survey and statistical sample consisted of 64 subjects including top managers and sport management professors at physical education organization. Data is collected by research designed questionnaire. Its reliability (α=.95) is obtained after its validity confirmation (by professors). In this article the most important factors affecting sport entrepreneurship, both as an interdisciplinary field in the world, are studied. Initially, infrastructures are identified for entrepreneurial opportunities in sports and related problems become known so that identifying factors for social, cultural, and economical development to entrepreneurs will be a smooth path, because sport entrepreneurship, given its effective roles in business development, welfare, health development, and participation in various aspects of society, can also play a crucial role in the development of the country. Finally, some solutions for developing entrepreneurial sport are introduced.

Keywords: sport entrepreneurship, entrepreneurial opportunities, entrepreneurial barriers, interdisciplinary

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12529 Supply Chain Management Practices in Thailand Palm Oil Industry

Authors: Athirat Intajorn

Abstract:

According to the ASEAN free trade areas (AFTA), Thailand has applied the AFTA agreement for reducing tariffs and reflecting changes in business processes. The reflection of changes in agribusiness processes, in particular, has accumulated as production costs for producers. Palm Oil industry has become an important industry to Thailand economic. Thailand currently ranks the 3rd in the world for Crude Palm Oil CPO. Therefore, the scope of this paper presents a research framework to investigate the supply chain management practices in Thailand palm oil industry. This research is limit to literature review. And the proposed framework identifies the criteria of supply chain management for Thailand palm oil industry in order for linkage among entities within logistics management involving plantation, mill, collection port, refinery and cookie from the data utilization. The Supply Chain Management Practices in Thailand Palm Oil Industry framework has a somewhat different view due to the high complexity of agribusiness logistics management.

Keywords: supply chain management, practice, palm oil industry, Thailand palm oil industry

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12528 Nonparametric Estimation of Risk-Neutral Densities via Empirical Esscher Transform

Authors: Manoel Pereira, Alvaro Veiga, Camila Epprecht, Renato Costa

Abstract:

This paper introduces an empirical version of the Esscher transform for risk-neutral option pricing. Traditional parametric methods require the formulation of an explicit risk-neutral model and are operational only for a few probability distributions for the returns of the underlying. In our proposal, we make only mild assumptions on the pricing kernel and there is no need for the formulation of the risk-neutral model for the returns. First, we simulate sample paths for the returns under the physical distribution. Then, based on the empirical Esscher transform, the sample is reweighted, giving rise to a risk-neutralized sample from which derivative prices can be obtained by a weighted sum of the options pay-offs in each path. We compare our proposal with some traditional parametric pricing methods in four experiments with artificial and real data.

Keywords: esscher transform, generalized autoregressive Conditional Heteroscedastic (GARCH), nonparametric option pricing

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12527 An Analysis of Conversation Structure of Oprah Winfrey and Justin Bieber Utterances on The Oprah Winfrey Show

Authors: Najib Khumaidillah

Abstract:

A conversation needs skills to create the good flow of it. The skills also need to be paid attention by a host like Oprah Winfrey and Justin Bieber as an artist. This study is aimed at describing turn taking strategies and adjacency pairs used by the speakers. The data are from one segment of The Oprah Winfrey Show’s transcription with Justin Bieber. Those are analyzed by Stenstorm’s turn taking theories and adjacency pairs theories. From the analysis, it was found that both speakers use various turn taking strategies and adjacency pairs. These findings are hoped to be an example for non-native English speaker in doing English conversation and advance people’s comprehension of how to organize good conversation structure.

Keywords: adjacency pairs, conversation structure, the Oprah Winfrey show, turn taking

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12526 Media Richness Perspective on Web 2.0 Usage for Knowledge Creation: The Case of the Cocoa Industry in Ghana

Authors: Albert Gyamfi

Abstract:

Cocoa plays critical role in the socio-economic development of Ghana. Meanwhile, smallholder farmers most of whom are illiterate dominate the industry. According to the cocoa-based agricultural knowledge and information system (AKIS) model knowledge is created and transferred to the industry between three key actors: cocoa researchers, extension experts, and cocoa farmers. Dwelling on the SECI model, the media richness theory (MRT), and the AKIS model, a conceptual model of web 2.0-based AKIS model (AKIS 2.0) is developed and used to assess the possible effects of social media usage for knowledge creation in the Ghanaian cocoa industry. A mixed method approach with a survey questionnaire was employed, and a second-order multi-group structural equation model (SEM) was used to analyze the data. The study concludes that the use of web 2.0 applications for knowledge creation would lead to sustainable interactions among the key knowledge actors for effective knowledge creation in the cocoa industry in Ghana.

Keywords: agriculture, cocoa, knowledge, media, web 2.0

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12525 Anti-Inflammatory Effect of Myristic Acid through Inhibiting NF-κB and MAPK Signaling Pathways in Lipopolysaccharide-Stimulated RAW 264.7 Macrophage Cells

Authors: Hyun Ji Hyun, Hyo Sun Suh, Min Kook Kim, Yong Chan Kwon, Byung-Mu Lee

Abstract:

Scope: This study is focused on the effect of myristic acid on LPS-induced inflammation in RAW 264.7 macrophage cells. Methods and results: For the experiment, RAW 264.7 mouse macrophage cell line was used. Results showed that treatment with myristic acid can attenuate LPS-induced inflammation. Moreover, myristic acid significantly suppressed expression of inflammatory mediators and down-regulating UVB-induced intracellular ROS generation. Furthermore, myristic acid reduced the expression of NF-κB by inhibiting degradation of IκB-α and ERK, JNK, and p38 pathways by inhibiting phosphorylation in RAW 264.7 macrophage cells. Conclusion: Overall, these data suggest that the myristic acid could reduce LPS-induced inflammation. Acknowledgment: This research was supported by the Ministry of Trade, Industry & Energy(MOTIE), Korea Institute for Advancement of Technology(KIAT) through the Encouragement Program for The Industries of Economic Cooperation Region

Keywords: anti-inflammation, myristic acid, ROS, ultraviolet light

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12524 Study of Effective Factors Influencing the Pragmatics of Knowledge Management in Iranian Oil Terminals Company

Authors: Ali Asghar Asad Sangabi, Afsaneh Aeen, Mohammad Behroozi

Abstract:

Knowledge management is vital in today's world as one of the most valuable intangible assets regarded by companies. This study aimed to identify factors that affect the application of knowledge management in the Iranian Oil Terminals Company in 2022. In this study, 12 of the factors affecting the application of knowledge management have been studied, and implement practical solutions, and reuse has been studied. This study is descriptive data from the questionnaire factors affecting knowledge management application used by Cronbach's Coefficient Alpha equal to 0.85. The population of this study consisted of 1500 IOTC employees. The sample is determined by the Cochran formula sample; the results of this study showed that between the application of knowledge management and factors, there is a significant correlation. Among the factors that have been studied, valuable teamwork and organizational culture were the most effective, and the infrastructure of information systems had the least impact on Knowledge management.

Keywords: knowledge management, knowledge-based organization, Iranian Oil Terminals

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12523 Trigonelline: A Promising Compound for The Treatment of Alzheimer's Disease

Authors: Mai M. Farid, Ximeng Yang, Tomoharu Kuboyama, Chihiro Tohda

Abstract:

Trigonelline is a major alkaloid component derived from Trigonella foenum-graecum L. (fenugreek) and has been reported before as a potential neuroprotective agent, especially in Alzheimer’s disease (AD). However, the previous data were unclear and used model mice were not well established. In the present study, the effect of trigonelline on memory function was investigated in Alzheimer’s disease transgenic model mouse, 5XFAD which overexpresses the mutated APP and PS1 genes. Oral administration of trigonelline for 14 days significantly enhanced object recognition and object location memories. Plasma and cerebral cortex were isolated at 30 min, 1h, 3h, and 6 h after oral administration of trigonelline. LC-MS/MS analysis indicated that trigonelline was detected in both plasma and cortex from 30 min after, suggesting good penetration of trigonelline into the brain. In addition, trigonelline significantly ameliorated axonal and dendrite atrophy in Amyloid β-treated cortical neurons. These results suggest that trigonelline could be a promising therapeutic candidate for AD.

Keywords: alzheimer’s disease, cortical neurons, LC-MS/MS analysis, trigonelline

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12522 Religious Insurgency in Nigeria: A Bane to National Unity

Authors: Ayoola Adediran Amos

Abstract:

Nigeria as a secular state that is characterized with various religions namely: Christianity, Islam and African Religion. Each of the religion adherents often claim that their religion is the only means of gaining eternity while others who do not belong to their sect may not be opportuned. Religious doctrine within those religious sects is another source of insurgency which serves as a threat to the unity of Nigeria. Similarly, Boko Haram Religious group has become a threat to the unity of the country in which its root has both political and religious undertones. Primary and secondary sources of collecting data were used. Historical method allowed enquiry into the past events and improvement to the current experience. Both published and unpublished theses were used. Interview was also conducted as part of the secondary sources. It was observed that all aspects of the system in Nigeria were affected with this scourge of religious unrest. i.e. education, political, economic and a host of others. Finally, it was recommended that religious leaders should be given adequate orientation on the needs not to preach against other religious groups. Government of Nigeria should not give priority to one religion at the expense of others.

Keywords: insurgency, national unity, religious, threat

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12521 Trust and Conflict Resolution: Relationship Building for Learning

Authors: Jeff Dickie

Abstract:

This research paper combined grounded coding and research questions with the objective to investigate conflict resolution in the classroom. The students’ answers concerning teaching were coded according to phrasal meanings which revealed concepts. These concept codes then became input data into theoretical frameworks. The investigation indicated two conflicts: whether the information was valid and whether to make the study effort which was discussed as perceptions of teacher’s competence in helping to learn. The relevant factors in helping to learn were predominately emotional. These factors were important in the negotiation process to develop relationships. Information validity seemed to be the motivator to begin and participate effectively with the learning process. In effect, confidence in the learning negotiation process with the focus towards relationship building with the subject matter seemed to be the motivator to make the study effort.

Keywords: coding, confidence, competence, conflict resolution, risk, trust, relationship building

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12520 Navigating AI in Higher Education: Exploring Graduate Students’ Perspectives on Teacher-Provided AI Guidelines

Authors: Mamunur Rashid, Jialin Yan

Abstract:

The current years have witnessed a rapid evolution and integration of artificial intelligence (AI) in various fields, prominently influencing the education industry. Acknowledging this transformative wave, AI tools like ChatGPT and Grammarly have undeniably introduced perspectives and skills, enriching the educational experiences of higher education students. The prevalence of AI utilization in higher education also drives an increasing number of researchers' attention in various dimensions. Departments, offices, and professors in universities also designed and released a set of policies and guidelines on using AI effectively. In regard to this, the study targets exploring and analyzing graduate students' perspectives regarding AI guidelines set by teachers. A mixed-methods study will be mainly conducted in this study, employing in-depth interviews and focus groups to investigate and collect students' perspectives. Relevant materials, such as syllabi and course instructions, will also be analyzed through the documentary analysis to facilitate understanding of the study. Surveys will also be used for data collection and students' background statistics. The integration of both interviews and surveys will provide a comprehensive array of student perspectives across various academic disciplines. The study is anchored in the theoretical framework of self-determination theory (SDT), which emphasizes and explains the students' perspective under the AI guidelines through three core needs: autonomy, competence, and relatedness. This framework is instrumental in understanding how AI guidelines influence students' intrinsic motivation and sense of empowerment in their learning environments. Through qualitative analysis, the study reveals a sense of confusion and uncertainty among students regarding the appropriate application and ethical considerations of AI tools, indicating potential challenges in meeting their needs for competence and autonomy. The quantitative data further elucidates these findings, highlighting a significant communication gap between students and educators in the formulation and implementation of AI guidelines. The critical findings of this study mainly come from two aspects: First, the majority of graduate students are uncertain and confused about relevant AI guidelines given by teachers. Second, this study also demonstrates that the design and effectiveness of course materials, such as the syllabi and instructions, also need to adapt in regard to AI policies. It indicates that certain of the existing guidelines provided by teachers lack consideration of students' perspectives, leading to a misalignment with students' needs for autonomy, competence, and relatedness. More emphasize and efforts need to be dedicated to both teacher and student training on AI policies and ethical considerations. To conclude, in this study, graduate students' perspectives on teacher-provided AI guidelines are explored and reflected upon, calling for additional training and strategies to improve how these guidelines can be better disseminated for their effective integration and adoption. Although AI guidelines provided by teachers may be helpful and provide new insights for students, educational institutions should take a more anchoring role to foster a motivating, empowering, and student-centered learning environment. The study also provides some relevant recommendations, including guidance for students on the ethical use of AI and AI policy training for teachers in higher education.

Keywords: higher education policy, graduate students’ perspectives, higher education teacher, AI guidelines, AI in education

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12519 Barriers to Social Entrepreneurship by Refugees: An Explorative Study How Prior Experience Influences Social Orientation

Authors: D. M. Koers, A. J. Groen, P. D. Englis, R. Harms

Abstract:

We are witnessing the largest level of displacement of people since World War II. Refugees want to become independent as quickly as possible and build a new, safe future; however, access to the labor market is difficult and they face many problems that are not easily solved. This makes self-employment including social entrepreneurship a valuable alternative. Our research studied refugee-based entrepreneurship and examined whether prior knowledge, unmet personal needs and contextual factors influence how refugees recognize opportunities and if this influences their social orientation. In addition, we examine the barriers refugees face when starting up a company in the Netherlands. We use a case study design with a mixed-method approach, combining in-depth interviews and survey data. Data was collected from two Dutch entrepreneurial training programs in the Netherlands. We have a sample size of 27 latent refugee entrepreneurs. Our results show that refugees score high on the social entrepreneurial measures. They perceive themselves as having a strong social vision and are determined to defend a social need. They also score high on sustainability and state that their business ideas improve the quality of life on the long run. Based on these findings, we did not expect that only 5 participants had business ideas with a social orientation. In this group, 37,5% started a company before and 77.8% used their personal experience to come up with this business idea. Another 70,3% had the higher professional education or academic education. In the interviews, we found that they often copy and paste their gained experience from a previous profession on their new context and expect that it would work well. The social aspect lies in their cultural values and personal beliefs but is not reflected in their business models. One of the reasons could be that the context in which the refugee operates as a moderator suppressing the social mission and social value creation opportunities. Refugees are first and foremost focused on their survival. They do not want to be on social welfare and feel a strong need to be independent. Since they cannot access the labor market easily and face labor market discrimination they want to start a company. Another factor that explains lack of the social orientation in their business ideas is that social entrepreneurship is not a known concept in their home countries. Their idea of entrepreneurship differs substantially. We found that a huge barrier for refugees is their expectations about setting up a business, which are often not realistic because they have little knowledge about the system, institutions and corresponding red tape. In those instances, can the institutional configuration of a country, cultural differences, and perspective on entrepreneurship hinders social entrepreneurship. In conclusion, there might be latent potential for social entrepreneurship in refugees but there are many barriers to overcome. Overcoming these barriers can enhance local communities and enhance integration. In addition it has a positive financial impact on the host country because it reduces the pressure on the social system and stimulate the economy.

Keywords: immigrant entrepreneurship, refugee entrepreneurship, social entrepreneurship, prior experience, opportunity recognition

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12518 Evolving Digital Circuits for Early Stage Breast Cancer Detection Using Cartesian Genetic Programming

Authors: Zahra Khalid, Gul Muhammad Khan, Arbab Masood Ahmad

Abstract:

Cartesian Genetic Programming (CGP) is explored to design an optimal circuit capable of early stage breast cancer detection. CGP is used to evolve simple multiplexer circuits for detection of malignancy in the Fine Needle Aspiration (FNA) samples of breast. The data set used is extracted from Wisconsins Breast Cancer Database (WBCD). A range of experiments were performed, each with different set of network parameters. The best evolved network detected malignancy with an accuracy of 99.14%, which is higher than that produced with most of the contemporary non-linear techniques that are computational expensive than the proposed system. The evolved network comprises of simple multiplexers and can be implemented easily in hardware without any further complications or inaccuracy, being the digital circuit.

Keywords: breast cancer detection, cartesian genetic programming, evolvable hardware, fine needle aspiration

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12517 Numerical Analysis of Rapid Drawdown in Dams Based on Brazilian Standards

Authors: Renato Santos Paulinelli Raposo, Vinicius Resende Domingues, Manoel Porfirio Cordao Neto

Abstract:

Rapid drawdown is one of the cases referred to ground stability study in dam projects. Due to the complexity generated by the combination of loads and the difficulty in determining the parameters, analyses of rapid drawdown are usually performed considering the immediate reduction of water level upstream. The proposal of a simulation, considering the gradual reduction in water level upstream, requires knowledge of parameters about consolidation and those related to unsaturated soil. In this context, the purpose of this study is to understand the methodology of collection and analysis of parameters to simulate a rapid drawdown in dams. Using a numerical tool, the study is complemented with a hypothetical case study that can assist the practical use of data compiled. The referenced dam presents homogeneous section composed of clay soil, a height of 70 meters, a width of 12 meters, and upstream slope with inclination 1V:3H.

Keywords: dam, GeoStudio, rapid drawdown, stability analysis

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12516 Identification of Vessel Class with Long Short-Term Memory Using Kinematic Features in Maritime Traffic Control

Authors: Davide Fuscà, Kanan Rahimli, Roberto Leuzzi

Abstract:

Preventing abuse and illegal activities in a given area of the sea is a very difficult and expensive task. Artificial intelligence offers the possibility to implement new methods to identify the vessel class type from the kinematic features of the vessel itself. The task strictly depends on the quality of the data. This paper explores the application of a deep, long short-term memory model by using AIS flow only with a relatively low quality. The proposed model reaches high accuracy on detecting nine vessel classes representing the most common vessel types in the Ionian-Adriatic Sea. The model has been applied during the Adriatic-Ionian trial period of the international EU ANDROMEDA H2020 project to identify vessels performing behaviors far from the expected one depending on the declared type.

Keywords: maritime surveillance, artificial intelligence, behavior analysis, LSTM

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12515 Non-Destructive Testing of Metal Pipes with Ultrasonic Sensors Based on Determination of Maximum Ultrasonic Frequency

Authors: Herlina Abdul Rahim, Javad Abbaszadeh, Ruzairi Abdul Rahim

Abstract:

In this research, the non-invasive ultrasonic transmission tomography is investigated. In order to model the ultrasonic wave scattering for different thickness of metal pipes, two-dimensional (2D) finite element modeling (FEM) has been utilized. The wall thickness variation of the metal pipe and its influence on propagation of the ultrasonic pressure wave are explored in this paper, includes frequency analysing in order to find the maximum applicable frequency. The simulation results have been compared to experimental data and are shown to provide key insight for this well-defined experimental case by explaining the achieved reconstructed images from experimental setup. Finally, the experimental results which are useful for further investigation for the application of ultrasonic transmission tomography in industry are illustrated.

Keywords: ultrasonic transmission tomography, ultrasonic sensors, ultrasonic wave, non-invasive tomography, metal pipe

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12514 Discourse Analysis of the Concept of Citizenship in Textbooks in Iran

Authors: Jafar Ahmadi

Abstract:

This research has been done as a discourse analysis of the concept of citizenship in textbooks in Iran. The purpose of this study is to identify the dominant citizenship discourse in textbooks in the content of textbooks. The research method in this research is qualitative and qualitative content analysis. The statistical sample was selected in a purposeful manner and according to the research topic of books related to Persian literature, religious education and social education. The selected theoretical framework of this research is the three theories of citizenship (pre-modern, modern and postmodern). For each of these discourses, components and indicators have been extracted that are the basis of data analysis. The research findings show that the dominant citizenship discourse on the content of Iranian textbooks is pre-modern discourse and is the basis of this type of religious citizenship discourse. Finally, the findings show that the government uses the institution of education to reproduce its power.

Keywords: citizenship, textbooks, discourse analysis, religious citizenship, representation

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12513 The Implementation of Information Security Audits in Public Sector: Perspective from Indonesia

Authors: Nur Imroatun Sholihat, Gresika Bunga Sylvana

Abstract:

Currently, cyber attack became an incredibly serious problem due to its increasing trend all over the world. Therefore, information security becomes prominent for every organization including public sector organization. In Indonesia, unfortunately, Ministry of Finance (MoF) is the only public sector organization that has already formally established procedure to assess its information security adequacy by performing information security audits (November 2017). We assess the implementation of information security audits in the MoF using qualitative data obtained by interviewing IT auditors and by analysis of related documents. For this reason, information security audit practice in the MoF could become the acceptable benchmark for all other public sector organizations in Indonesia. This study is important because, to the best of the author’s knowledge, our research into information security audits practice in Indonesia’s public sector have not been found yet. Results showed that information security audits performed mostly by doing pentest (penetration testing) to MoF’s critical applications.

Keywords: information security audit, information technology, Ministry of Finance of Indonesia, public sector organization

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12512 The Relationship between Religious Orientation and Country Reputation

Authors: Sibel Aydogan, Ceyda Aysuna

Abstract:

Religion is a social superstructure institution. Religious beliefs and practices are undeniable phenomena in the simplest and / or most complex societies and communities. All individuals in the society are not devout, but yet they are affected by religion one way or another. This study aims to identify the relationship between religion and country reputation. The uniqueness of the study lies in the fact that in the literature there is no study aimed to examine this relationship. Because of this reason the findings of the study can have important implications to fill this literature gap. Beyond examining this relationship, in the study also different religious oriented people’s opinions of country reputation was analyzed. The results of the analysis of data consisting of 985 respondents reveal that there is a significant relationship between religion and people’s opinions on country reputation. Another important finding of the study is people with different religious orientations have different opinions about a country’s reputation. The findings of the reputation may be important for people and organizations who are responsible for increasing a country’s reputation. Also the findings may shed light on country branding activities.

Keywords: religion, religiosity, religious orientation, country reputation, Turkey

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12511 Latinx Adults’ Emergent Bilinguals’ Perceptions of Culturally Diverse Teaching Strategies

Authors: Sharon Diaz Ruiz

Abstract:

The population of Latinx adult English language learners (ELLs) in the United States will increase in the next few years and become even more racially and linguistically diverse. Our classrooms reflect these demographic changes; therefore, there will always be the need to identify language teaching practices that would allow educators to meet this linguistic diversity. This qualitative study explores Latinx adult English language learners' perceptions of culturally responsive teaching strategies. Participants in this study will be enrolled in an English developmental course for the Fall of 2022. The data collection process will consist of overt observation during five presentations/activities, including culturally inclusive readings and student reflections. The teaching materials selected will align with the course module's goals and objectives. The result of this investigation will shed light on the gap in the literature documenting the application of culturally responsive pedagogy to Latino adult language learners.

Keywords: emergent bilinguals, adult learners, Latinx learners, ELL

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12510 Diagnosis on Environmental Impacts of Tourism at Caju Beach in Palmas, Tocantins, Brazil

Authors: Mary L. G. S. Senna, Veruska, C. Dutra, Jr., Keity L. F. Oliveira, Patrícia A. Santos, Alana C. M. Santana

Abstract:

Environmental impacts are the changes in the physical, chemical or biological properties of natural areas that are most often caused by human actions on the environment and which have consequences for human health, society and the elements of nature. The identification of the environmental impacts is important so that they are mitigated, and above all that the mitigating measures are applied in the area. This work aims to identify the environmental impacts generated in the Praia do Caju area in the city of Palmas/Brazil and show that the lack of structure on the beach intensifies the environmental impacts. The present work was carried out having as parameter, the typologies of exploratory and descriptive and quantitative research through a matrix of environmental impacts through direct observation and registration. The study took place during the holidays from August to December 2016 and photographic record of impacts. From the collected data it was possible to verify that Caju beach suffers constant degradation due to irregular deposition.

Keywords: leisure, tourism, environmental impacts, Brazil

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12509 Financial Literacy Testing: Results of Conducted Research and Introduction of a Project

Authors: J. Nesleha, H. Florianova

Abstract:

The goal of the study is to provide results of a conducted study devoted to financial literacy in the Czech Republic and to introduce a project related to financial education in the Czech Republic. Financial education has become an important part of education in the country, yet it is still neglected on the lowest level of formal education–primary schools. The project is based on investigation of financial literacy on primary schools in the Czech Republic. Consequently, the authors aim to formulate possible amendments related to this type of education. The gained dataset is intended to be used for analysis concerning financial education in the Czech Republic. With regard to used methods, the most important one is regression analysis for disclosure of predictors causing different levels of financial literacy. Furthermore, comparison of different groups is planned, for which t-tests are intended to be used. The study also employs descriptive statistics to introduce basic relationship in the data file.

Keywords: Czech Republic, financial education, financial literacy, primary school

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12508 Prognostic Factors for Mortality and Duration of Admission in Malnourished Hospitalized, Elderly Patients: A Cross-Sectional Study

Authors: Christos E. Lampropoulos, Maria Konsta, Vicky Dradaki, Irini Dri, Tamta Sirbilatze, Ifigenia Apostolou, Christina Kordali, Konstantina Panouria, Kostas Argyros, Georgios Mavras

Abstract:

Malnutrition in hospitalized patients is related to increased morbidity and mortality. Purpose of our study was to assess nutritional status of hospitalized, elderly patients with various nutritional scores and to detect unfavorable prognostic factors, related to increased mortality and extended duration of admission. Methods: 150 patients (78 men, 72 women, mean age 80±8.2) were included in this cross-sectional study. Nutritional status was assessed by Mini Nutritional Assessment (MNA full, short-form), Malnutrition Universal Screening Tool (MUST) and short Nutritional Appetite Questionnaire (sNAQ). The following data were incorporated in analysis: Anthropometric and laboratory data, physical activity (International Physical Activity Questionnaires, IPAQ), smoking status, dietary habits and mediterranean diet (assessed by MedDiet score), cause and duration of current admission, medical history (co-morbidities, previous admissions). Primary endpoints were the mortality (from admission until 6 months afterwards) and duration of admission, compared to national guidelines for closed consolidated medical expenses. Mann-Whitney two-sample statistics or t-test was used for group comparisons and Spearman or Pearson coefficients for testing correlation between variables. Results: Normal nutrition was assessed in 54/150 (36%), 92/150 (61.3%) and in 106/150 (70.7%) of patients, according to full MNA, MUST and sNAQ questionnaires respectively. Mortality rate was 20.7% (31/150 patients). The patients who died until 6 months after admission had lower BMI (24±4.4 vs 26±4.8, p=0.04) and albumin levels (2.9±0.7 vs 3.4±0.7, p=0.002), significantly lower full MNA (14.5±7.3 vs 20.7±6, p<0.0001) and short-form MNA scores (7.3±4.2 vs 10.5±3.4, p=0.0002) compared to non-dead one. In contrast, the aforementioned patients had higher MUST (2.5±1.8 vs 0.5±1.02, p=<0.0001) and sNAQ scores (2.9±2.4 vs 1.1±1.3, p<0.0001). Additionally, they showed significantly lower MedDiet (23.5±4.3 vs 31.1±5.6, p<0.0001) and IPAQ scores (37.2±156.2 vs 516.5±1241.7, p<0.0001) compared to remaining one. These patients had extended hospitalization [5 (0-13) days vs 0 (-1-3) days, p=0.001]. Patients who admitted due to cancer depicted higher mortality rate (10/13, 77%), compared to those who admitted due to infections (12/73, 18%), stroke (4/15, 27%) or other causes (4/49, 8%) (p<0.0001). Extension of hospitalization was negatively correlated to both full (Spearman r=-0.35, p<0.0001) and short-form MNA (Spearman r=-0.33, p<0.0001) and positively correlated to MUST (Spearman r=0.34, p<0.0001) and sNAQ (Spearman r=0.3, p=0.0002). Additionally, the extension was inversely related to MedDiet score (Spearman r=-0.35, p<0.0001), IPAQ score (Spearman r=-0.34, p<0.0001), albumin levels (Pearson r=-0.36, p<0.0001), Ht (Pearson r=-0.2, p=0.02) and Hb (Pearson r=-0.18, p=0.02). Conclusion: A great proportion of elderly, hospitalized patients are malnourished or at risk of malnutrition. All nutritional scores, physical activity and albumin are significantly related to mortality and increased hospitalization.

Keywords: dietary habits, duration of admission, malnutrition, prognostic factors for mortality

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12507 Analysis of Tilting Cause of a Residential Building in Durres by the Use of Cptu Test

Authors: Neritan Shkodrani

Abstract:

On November 26, 2019, an earthquake hit the central western part of Albania. It was assessed as Mw 6.4. Its epicenter was located offshore north western Durrës, about 7 km north of the city. In this paper, the consequences of settlements of very soft soils have been discussed for the case of a residential building, mentioned as “K Building”, which was suffering a significant tilting after the earthquake. “KBuilding” is an RC framed building having 12+1 (basement) storiesand a floor area of 21000 m2. The construction of the building was completed in 2012. “KBuilding”, located in Durres city, suffered severe non-structural damage during November 26, 2019, Durrës Earthquake sequences. During the in-site inspections immediately after the earthquake, the general condition of the buildings, the presence of observable settlements on the ground, and the crack situation in the structure were determined, and damage inspection were performed. It was significant to note that the “K Building” presented tilting that might be attributed, as it was believed at the beginning, partially to the failure of the columns of the ground floor and partially to liquefaction phenomena, but it did not collapse. At the first moment was not clear if the foundation had a bearing capacity failure or the foundation failed because of the soil liquefaction. Geotechnical soil investigations by using CPTU test were executed, and their data are usedto evaluatebearing capacity, consolidation settlement of the mat foundation, and soil liquefaction since they were believed to be the main reasons of this building tilting.Geotechnical soil investigation consist in 5 (five) Static Cone Penetration tests with pore pressure measurement (piezocone test). They reached a penetration depth of 20.0 m to 30.0 mand, clearly shown the presence of very soft and organic soils in the soil profile of the site. Geotechnical CPT based analysis of bearing capacity, consolidation, and secondary settlement are applied, and results are reported for each test. These results shown very small values of allowable bearing capacity and very high values of consolidation and secondary settlements. Liquefaction analysis based on the data of CPTU tests and the characteristics of ground shaking of the mentioned earthquake has shown the possibility of liquefaction for some layers of the considered soil profile, but the estimated vertical settlements are at a small range and clearly shown that the main reason of the building tilting was not related to the consequences of liquefaction, but was an existing settlement caused from the applied bearing pressure of this building. All the CPTU tests were carried out on August 2021, almost two years after the November 26, 2019, Durrës Earthquake and when the building itself was demolished. After removing the mat foundation on September 2021, it was possible to carry out CPTU tests even on the footprint of the existing building, which made possible to observe the effects of long time applied of foundation bearing pressure to the consolidation on the considered soil profile.

Keywords: bearing capacity, cone penetration test, consolidation settlement, secondary settlement, soil liquefaction, etc

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12506 Analysis of CO₂ Two-Phase Ejector with Taguchi and ANOVA Optimization and Refrigerant Selection with Enviro Economic Concerns by TOPSIS Analysis

Authors: Karima Megdouli, Bourhan tachtouch

Abstract:

Ejector refrigeration cycles offer an alternative to conventional systems for producing cold from low-temperature heat. In this article, a thermodynamic model is presented. This model has the advantage of simplifying the calculation algorithm and describes the complex double-throttling mechanism that occurs in the ejector. The model assumption and calculation algorithm are presented first. The impact of each efficiency is evaluated. Validation is performed on several data sets. The ejector model is then used to simulate a RES (refrigeration ejector system), to validate its robustness and suitability for use in predicting thermodynamic cycle performance. A Taguchi and ANOVA optimization is carried out on a RES. TOPSIS analysis was applied to decide the optimum refrigerants with cost, safety, environmental and enviro economic concerns along with thermophysical properties.

Keywords: ejector, velocity distribution, shock circle, Taguchi and ANOVA optimization, TOPSIS analysis

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12505 E-Hailing Taxi Industry Management Mode Innovation Based on the Credit Evaluation

Authors: Yuan-lin Liu, Ye Li, Tian Xia

Abstract:

There are some shortcomings in Chinese existing taxi management modes. This paper suggests to establish the third-party comprehensive information management platform and put forward an evaluation model based on credit. Four indicators are used to evaluate the drivers’ credit, they are passengers’ evaluation score, driving behavior evaluation, drivers’ average bad record number, and personal credit score. A weighted clustering method is used to achieve credit level evaluation for taxi drivers. The management of taxi industry is based on the credit level, while the grade of the drivers is accorded to their credit rating. Credit rating determines the cost, income levels, the market access, useful period of license and the level of wage and bonus, as well as violation fine. These methods can make the credit evaluation effective. In conclusion, more credit data will help to set up a more accurate and detailed classification standard library.

Keywords: credit, mobile internet, e-hailing taxi, management mode, weighted cluster

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12504 Numerical Simulation and Experimental Study on Cable Damage Detection Using an MFL Technique

Authors: Jooyoung Park, Junkyeong Kim, Aoqi Zhang, Seunghee Park

Abstract:

Non-destructive testing on cable is in great demand due to safety accidents at sites where many equipments using cables are installed. In this paper, the quantitative change of the obtained signal was analyzed using a magnetic flux leakage (MFL) method. A two-dimensional simulation was conducted with a FEM model replicating real elevator cables. The simulation data were compared for three parameters (depth of defect, width of defect and inspection velocity). Then, an experiment on same conditions was carried out to verify the results of the simulation. Signals obtained from both the simulation and the experiment were transformed to characterize the properties of the damage. Throughout the results, a cable damage detection based on an MFL method was confirmed to be feasible. In further study, it is expected that the MFL signals of an entire specimen will be gained and visualized as well.

Keywords: magnetic flux leakage (mfl), cable damage detection, non-destructive testing, numerical simulation

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12503 Utilizing Federated Learning for Accurate Prediction of COVID-19 from CT Scan Images

Authors: Jinil Patel, Sarthak Patel, Sarthak Thakkar, Deepti Saraswat

Abstract:

Recently, the COVID-19 outbreak has spread across the world, leading the World Health Organization to classify it as a global pandemic. To save the patient’s life, the COVID-19 symptoms have to be identified. But using an AI (Artificial Intelligence) model to identify COVID-19 symptoms within the allotted time was challenging. The RT-PCR test was found to be inadequate in determining the COVID status of a patient. To determine if the patient has COVID-19 or not, a Computed Tomography Scan (CT scan) of patient is a better alternative. It will be challenging to compile and store all the data from various hospitals on the server, though. Federated learning, therefore, aids in resolving this problem. Certain deep learning models help to classify Covid-19. This paper will have detailed work of certain deep learning models like VGG19, ResNet50, MobileNEtv2, and Deep Learning Aggregation (DLA) along with maintaining privacy with encryption.

Keywords: federated learning, COVID-19, CT-scan, homomorphic encryption, ResNet50, VGG-19, MobileNetv2, DLA

Procedia PDF Downloads 54
12502 Calendar Anomalies in Islamic Frontier Markets

Authors: Aslam Faheem, Hunjra Ahmed Imran, Tayachi Tahar, Verhoeven Peter, Tariq Yasir

Abstract:

We investigate the evidence of three risk-adjusted calendar anomalies in eight frontier markets. Our sample consists of the daily closing prices of their stock indices for the period of January 2006 to September 2019. We categorize the data with respect to day-of-the-week, Lunar calendar and Islamic calendar. Using Morgan Stanley Capital International (MSCI) eight Markets Index as our proxy of the market portfolio, most of the frontier markets tested exhibit calendar seasonality. We confirm that systematic risk varies with respect to day-of-the-week, Lunar months and Islamic months. After consideration of time-varying risk and applying Bonferroni correction, few frontier markets exhibit profitable investment opportunities from calendar return anomalies for active investment managers.

Keywords: asset pricing, frontier markets, market efficiency, Islamic calendar effects, Islamic stock markets

Procedia PDF Downloads 148
12501 The Effect on Some Plant Traits of Cutting Frequency Applied in Species of Grass

Authors: Mehmet Ali Avcı, Medine Çopur Doğrusöz

Abstract:

This study has been carried out in the Selcuk University, Department of Fields Crops Research and Application Greenhouse. 4 different grass genotypes (1 Lolium perenne L., 1 Poa trivialis L., 1 Festuca ovina L., and 1 Festuca arundinacea Scheb.) have been used in the application. It has been done with four repetition according to design of random parcel test. The research have been started with the implementation of 3 clones to each pot of each kind on 07.12.2009. It has been processed normally. When the plants have filled % 80 of the pot and have grown to the height of 7-10 cm, 5 cm has cut. After the first cutting, there have been applied 4 cutting frequency within the periods of 5, 10, 15, 20 days. Number of tillers, the degree of filling the bottom, the height of plant, the length of leaf and the width of the leaf have been measured. This procedure have been repeated in once a-five-day-periods, once a-ten-day-periods, once a-fifteen-day-periods, once a-twenty-day-periods, the data have been taken, and it has completed in 60 days. All the plants in the pots have been reaped from the 5cm height on 16.08.2010. The first measures have been taken for each quality. It is aimed to set the effects of different cutting frequency on the some grass kinds’ some plant characteristics.

Keywords: cutting frequency, Festuca, Lolium, Poa

Procedia PDF Downloads 322