Search results for: Framework%20Developing
1898 A Discrete Element Method Centrifuge Model of Monopile under Cyclic Lateral Loads
Authors: Nuo Duan, Yi Pik Cheng
Abstract:
This paper presents the data of a series of two-dimensional Discrete Element Method (DEM) simulations of a large-diameter rigid monopile subjected to cyclic loading under a high gravitational force. At present, monopile foundations are widely used to support the tall and heavy wind turbines, which are also subjected to significant from wind and wave actions. A safe design must address issues such as rotations and changes in soil stiffness subject to these loadings conditions. Design guidance on the issue is limited, so are the availability of laboratory and field test data. The interpretation of these results in sand, such as the relation between loading and displacement, relies mainly on empirical correlations to pile properties. Regarding numerical models, most data from Finite Element Method (FEM) can be found. They are not comprehensive, and most of the FEM results are sensitive to input parameters. The micro scale behaviour could change the mechanism of the soil-structure interaction. A DEM model was used in this paper to study the cyclic lateral loads behaviour. A non-dimensional framework is presented and applied to interpret the simulation results. The DEM data compares well with various set of published experimental centrifuge model test data in terms of lateral deflection. The accumulated permanent pile lateral displacements induced by the cyclic lateral loads were found to be dependent on the characteristics of the applied cyclic load, such as the extent of the loading magnitudes and directions.Keywords: cyclic loading, DEM, numerical modelling, sands
Procedia PDF Downloads 3161897 An Analysis of The Philippines' Legal Transition from Open Dumpsites to Solid Waste Management Facilities
Authors: Mary Elenor Adagio, John Roben Ambas, Ramilyn Bertolano, Julie Ann Garcia
Abstract:
Ecological Solid Waste Management has been a long-time concern in both national and international spheres. The exponential growth of waste generation is not properly matched with a waste management system that is cost-effective. As a result, governments and their communities within inevitably resort to the old ways of opening dumpsites to serve as a giant garbage bin. However, due to the environmental and public health problems these unmanaged dumpsites caused, countries like the Philippines mandated the closure of these dumpsites and converted them into or opened new sanitary landfills. This study aims to determine how the transition from open dumpsites to Solid Waste Management Facilities improve the implementation of the Solid Waste Management Framework of the government pursuant to Republic Act 9003. To test the hypothesis that the mandatory closure of dumpsites is better in the management of wastes in local government units, a review of related literature on analysis reports, news, and case studies was conducted. The results suggest that advocating for the transition of dumpsites to sanitary landfills would not only prevent environmental risks caused by pollution but also reduce problems regarding public health. Although this transition can be effective, data also show that with a lack of funding and resources, many local government units still find it difficult to provide their solid waste management plans and to adapt to the transition to sanitary landfills.Keywords: solid waste management, environmental law, solid waste management facilities, open dumpsites
Procedia PDF Downloads 1481896 Lifelong Distance Learning and Skills Development: A Case Study Analysis in Greece
Authors: Eleni Giouli
Abstract:
Distance learning provides a flexible approach to education, enabling busy learners to complete their coursework at their own pace, on their own schedule, and from a convenient location. This flexibility combined with a series of other issues; make the benefits of lifelong distance learning numerous. The purpose of the paper is to investigate whether distance education can contribute to the improvement of adult skills in Greece, highlighting in this way the necessity of the lifelong distance learning. To investigate this goal, a questionnaire is constructed and analyzed based on responses from 3,016 attendees of lifelong distance learning programs in the e-learning of the National and Kapodistrian University of Athens in Greece. In order to do so, a series of relationships is examined including the effects of a) the gender, b) the previous educational level, c) the current employment status, and d) the method used in the distance learning program, on the development of new general, technical, administrative, social, cultural, entrepreneurial and green skills. The basic conclusions that emerge after using a binary logistic framework are that the following factors are critical in order to develop new skills: the gender, the education level and the educational method used in the lifelong distance learning program. The skills more significantly affected by those factors are the acquiring new skills in general, as well as acquiring general, language and cultural, entrepreneurial and green skills, while for technical and social skills only gender and educational method play a crucial role. Moreover, routine skills and social skills are not affected by the four factors included in the analysis.Keywords: adult skills, distance learning, education, lifelong learning
Procedia PDF Downloads 1301895 Informal Land Subdivision and Its Implications for Infrastructural Development in Kano Metropolis, Nigeria
Authors: A. A. Yakub, Omavudu Ikogho
Abstract:
Land subdivision in most peri-urban areas of Kano metropolis is the entrenched prerogative of ‘KAFADA’ a group of informal plot partitioners who oversee the demarcation of mainly previous farmland into residential plots popularly called 'awon igiya' for those in need. With time these areas are engulfed in the milieu of the rapidly expanding urban landscape and form clusters of poorly planned settlements with tendencies to become future slums. This paper studies the practice of informal land subdivision in Kano metropolis with emphasis on the practitioners, the institutional framework, and the demand and supply scenario that sustains this trend as well as the extent of infrastructural development in these areas. Using three selected informally planned settlements as case-studies, a series of interviews and questionnaires are administered to 'KAFADA,' residents and the state land officers to generate data in these areas. Another set of data was similarly generated in three government subdivided residential layouts, and both sets analysed comparatively. The findings identify varying levels of infrastructural deficits in the informal communities compared to the planned neighbourhoods which are seen to be as a result of the absence of government participation and an informal subdivision process which did not provide for proper planning standards. This study recommends that the regulatory agencies concerned register and partner with KAFADA to ensure that minimal planning standards are maintained in future settlements.Keywords: peri-urban, informal land markets, land subdivision, infrastructure
Procedia PDF Downloads 2721894 Determining the Relationship Between Maternal Stress and Depression and Child Obesity: The Mediating Role of Maternal Self-efficacy
Authors: Alireza Monzavi Chaleshtori, Mahnaz Aliakbari Dehkordi, Maryam Aliakbari, Solmaz Seyed Mostafaii
Abstract:
Objective: Considering the growing obesity among children and the role of mother's psychological factors as well as the need to prevent childhood obesity, this study aimed to investigate the mediating role of mother's self-efficacy in the relationship between mother's stress and depression and child obesity. Method: For this purpose, in a descriptive-correlation study, 222 mothers and children aged 1 to 5 years in Tehran, who had the opportunity to answer an online questionnaire, were selected by random sampling and to the depression scales of the Kroenke and Spitzer Patient Health Questionnaire, Cohen's stress and Self-efficacy of Berkeley mothers answered. Pearson correlation test and path analysis were used for data analysis. Findings: The findings showed that maternal depression had an indirect and significant effect on child obesity, and the effect of stress and depression on child obesity was indirect and non-significant. Therefore, the model has a good fit with the research data, and stress and depression indirectly predicted child obesity with the mediating role of self-efficacy. Conclusion: The hypothesized model tested based on mother's stress and depression with the mediating role of mother's self-efficacy was a good model in explaining the prediction of child obesity. Based on the findings of this research, a practical framework can be provided to explain the psychological factors of the mother in relation to child obesity and its treatment.Keywords: stress, self-efficacy, child obesity, depression
Procedia PDF Downloads 611893 Sustainable Affordable Housing Development in Indonesia
Authors: Gina Cynthia Raphita Hasibuan
Abstract:
The housing sector in Indonesia is in critical condition where majority of low-income citizens live in substandard dwellings, and the number housing backlog is increasing every year. The housing problem becomes more urgent when the term 'sustainability' is considered, and sustainable affordable housing is yet to gain its successful implementation. Global urbanization develops fastest in developing countries like Indonesia where informal settlements are rapidly escalating, hence, making sustainable affordable housing strategies very critical in this context. The problem in developing countries like Indonesia lies on the institutional capacity of newly-established local governments having greater power to determine a development policy but apparently still lacking institutional capability and coordination with the central government and collaborative governance are still not established yet. The concept of upgrading informal settlements are seen changed over time and inconsistent. Despite much research on theme such as sustainable housing concept within Indonesian context, there has been a dearth of research examining the role of collaborative governance, as the current approach still shows fragmented approach between the stakeholders and the lack of community participation as the end user, and thus this research attempts to fill the gap on the aforementioned problems. By using case study with multi-methods conducted in Jakarta, this research has an overall aim to critically assess the role of collaborative governance in addressing sustainable affordable housing in Indonesia and to understand informal settlements and interventions in Indonesia rather than imposing a framework from western perspectives.Keywords: affordable housing, collaborative governance, sustainability, urban planning
Procedia PDF Downloads 3941892 Population Structure Analysis of Pakistani Indigenous Cattle Population by Using High Density SNP Array
Authors: Hamid Mustafa, Huson J. Heather, Kim Eiusoo, McClure Matt, Khalid Javed, Talat Nasser Pasha, Afzal Ali1, Adeela Ajmal, Tad Sonstegard
Abstract:
Genetic differences associated with speciation, breed formation or local adaptation can help to preserve and effective utilization of animals in selection programs. Analyses of population structure and breed diversity have provided insight into the origin and evolution of cattle. In this study, we used a high-density panel of SNP markers to examine population structure and diversity among ten Pakistani indigenous cattle breeds. In total, 25 individuals from three cattle populations, including Achi (n=08), Bhagnari (n=04) and Cholistani (n=13) were genotyped for 777, 962 single nucleotide polymorphism (SNP) markers. Population structure was examined using the linkage model in the program STRUCTURE. After characterizing SNP polymorphism in the different populations, we performed a detailed analysis of genetic structure at both the individual and population levels. The whole-genome SNP panel identified several levels of population substructure in the set of examined cattle breeds. We further searched for spatial patterns of genetic diversity among these breeds under the recently developed spatial principal component analysis framework. Overall, such high throughput genotyping data confirmed a clear partitioning of the cattle genetic diversity into distinct breeds. The resulting complex historical origins associated with both natural and artificial selection have led to the differentiation of numerous different cattle breeds displaying a broad phenotypic variety over a short period of time.Keywords: Pakistan, cattle, genetic diversity, population structure
Procedia PDF Downloads 6101891 Graph-Based Semantical Extractive Text Analysis
Authors: Mina Samizadeh
Abstract:
In the past few decades, there has been an explosion in the amount of available data produced from various sources with different topics. The availability of this enormous data necessitates us to adopt effective computational tools to explore the data. This leads to an intense growing interest in the research community to develop computational methods focused on processing this text data. A line of study focused on condensing the text so that we are able to get a higher level of understanding in a shorter time. The two important tasks to do this are keyword extraction and text summarization. In keyword extraction, we are interested in finding the key important words from a text. This makes us familiar with the general topic of a text. In text summarization, we are interested in producing a short-length text which includes important information about the document. The TextRank algorithm, an unsupervised learning method that is an extension of the PageRank (algorithm which is the base algorithm of Google search engine for searching pages and ranking them), has shown its efficacy in large-scale text mining, especially for text summarization and keyword extraction. This algorithm can automatically extract the important parts of a text (keywords or sentences) and declare them as a result. However, this algorithm neglects the semantic similarity between the different parts. In this work, we improved the results of the TextRank algorithm by incorporating the semantic similarity between parts of the text. Aside from keyword extraction and text summarization, we develop a topic clustering algorithm based on our framework, which can be used individually or as a part of generating the summary to overcome coverage problems.Keywords: keyword extraction, n-gram extraction, text summarization, topic clustering, semantic analysis
Procedia PDF Downloads 611890 University Students’ Perceptions of the Influence of Cannabis Use on Mental Health
Authors: Konesh Navsaria, Itumeleng Ramodumo
Abstract:
The study explored university students’ perceptions of cannabis use on academic life at a higher education institution (HEI) in Nelson Mandela Bay, South Africa. Cannabis is described as the most commonly-used drug by youth, especially those who are in tertiary institutions. The use of cannabis has both negative and positive effects; this is evident in different areas of human functioning. Cannabis usage has been debated upon in courts regarding its legalization and decriminalization, and on the 18th of September 2018, the South African High Court decriminalized cannabis for personal use. Cannabis use has increased in academic settings, and this has raised concerns about how it affects the mental health of students. A qualitative approach was used for the study with an explorative, descriptive design. Purposive sampling was used to select 15 participants for the study. Data were collected using focused-group interviews, following ethical clearance from the HEI. The collected data were analyzed and interpreted using thematic analysis, and cognitive behavioural theory was used as the theoretical framework. The research findings indicated both positive and negative influences of cannabis use on mental health. Most participants who expressed positive effects have used cannabis before, whereas most participants with negative perspectives of cannabis use on mental health are non-cannabis users. The findings revealed that participants perceived that the quantity of cannabis smoked determined whether there was a positive or negative effect on mental health; that is, large doses of cannabis were perceived as having negative effects. The research findings also revealed that the legalization of cannabis is very likely to increase its use and also highlighted precautionary measures users take to avoid the substance’s negative effects on mental health.Keywords: cannabis use, mental health, university students, legalization
Procedia PDF Downloads 1401889 3D Human Motion Reconstruction over Cloud based Image Data via AI and Machine Learning
Authors: Kaushik Sathupadi, Sandesh Achar
Abstract:
Human action recognition modeling is a critical task in machine learning. As, these systems re-quire better techniques for recognizing body parts and selecting optimal features based on vision sensors to identify complex action patterns efficiently. Various studies and methods have recently been proposed to track human action motions. Still, there is a considerable gap and challenges between images and videos, such as brightness, motion variation, and random clutters. This paper proposes a robust approach for classifying human actions over cloud-based image data. First, we apply pre-processing and detection, human and outer shape detection techniques. Next, we extract valuable information in terms of cues. We extract two distinct features: fuzzy local binary patterns and sequence representation. Then, we applied a greedy, randomized adaptive search procedure for data optimization and dimension reduction, and for classification, we used a random forest. We tested our model on two benchmark datasets, AAMAZ and the KTH Multi-view Football Datasets. Our HMR framework significantly outperforms the other state-of-the-art approaches and achieves a better recognition rate of 91% and 89.6% over AAMAZ and KTH Multi-view Football dataset, respectively.Keywords: computer vision, machine learning (ML), random forest, human motion analysis, greedy randomized adaptive search procedure, spatial features
Procedia PDF Downloads 111888 Implementing an English Medium of Instruction Policy in Algerian Higher Education: A Study of Teachers’ Attitudes, Agency, and Professional Identity
Authors: Ikram Metalsi
Abstract:
English as a Medium of Instruction known as (EMI) is expanding rapidly in the world. A growing volume of research has been dedicated to investigating its implementation. However, considerably less attention has been given to understanding EMI in a context where its implementation has been discussed but not yet put into practice. One such context is Algeria, where talks about a possible implementation of EMI have been going on for some time. The present study examines the current discourses and university lecturers’ attitudes towards the potential implementation of EMI as well as investigating the current implicit and explicit language policies in scientific courses in Algerian state universities. The focus is specifically on Engineering departments, as this field has gained worldwide importance in EMI research (Macaro et al. 2018), and, traditionally, French has been the MOI for Engineering in Algerian universities. Using the ROADMAPPING framework (Dafouz and Smit 2016) and the mixed method research approach, the present work explores the language in education policy (LEP) and planning situation in Algeria, the current media of instruction as well as the status and use of the English language in the scientific courses of the tertiary sector. Finally, the current study explores the perceived challenges and benefits of the implementation of EMI programmes from teachers’ perspectives with a particular focus on agency and how this potential policy implementation and teachers’ perceptions of agency around it may reflexively influence their professional identity.Keywords: media of instruction, language in education policy, lecturers attitudes, teacher agency, professional identity
Procedia PDF Downloads 1001887 Novel Inference Algorithm for Gaussian Process Classification Model with Multiclass and Its Application to Human Action Classification
Authors: Wanhyun Cho, Soonja Kang, Sangkyoon Kim, Soonyoung Park
Abstract:
In this paper, we propose a novel inference algorithm for the multi-class Gaussian process classification model that can be used in the field of human behavior recognition. This algorithm can drive simultaneously both a posterior distribution of a latent function and estimators of hyper-parameters in a Gaussian process classification model with multi-class. Our algorithm is based on the Laplace approximation (LA) technique and variational EM framework. This is performed in two steps: called expectation and maximization steps. First, in the expectation step, using the Bayesian formula and LA technique, we derive approximately the posterior distribution of the latent function indicating the possibility that each observation belongs to a certain class in the Gaussian process classification model. Second, in the maximization step, using a derived posterior distribution of latent function, we compute the maximum likelihood estimator for hyper-parameters of a covariance matrix necessary to define prior distribution for latent function. These two steps iteratively repeat until a convergence condition satisfies. Moreover, we apply the proposed algorithm with human action classification problem using a public database, namely, the KTH human action data set. Experimental results reveal that the proposed algorithm shows good performance on this data set.Keywords: bayesian rule, gaussian process classification model with multiclass, gaussian process prior, human action classification, laplace approximation, variational EM algorithm
Procedia PDF Downloads 3281886 Critical Design Futures: A Foresight 3.0 Approach to Business Transformation and Innovation
Authors: Nadya Patel, Jawn Lim
Abstract:
Foresight 3.0 is a synergistic methodology that encompasses systems analysis, future studies, capacity building, and forward planning. These components are interconnected, fostering a collective anticipatory intelligence that promotes societal resilience (Ravetz, 2020). However, traditional applications of these strands can often fall short, leading to missed opportunities and narrow perspectives. Therefore, Foresight 3.0 champions a holistic approach to tackling complex issues, focusing on systemic transformations and power dynamics. Businesses are pivotal in preparing the workforce for an increasingly uncertain and complex world. This necessitates the adoption of innovative tools and methodologies, such as Foresight 3.0, that can better equip young employees to anticipate and navigate future challenges. Firstly, the incorporation of its methodology into workplace training can foster a holistic perspective among employees. This approach encourages employees to think beyond the present and consider wider social, economic, and environmental contexts, thereby enhancing their problem-solving skills and resilience. This paper discusses our research on integrating Foresight 3.0's transformative principles with a newly developed Critical Design Futures (CDF) framework to equip organisations with the ability to innovate for the world's most complex social problems. This approach is grounded in 'collective forward intelligence,' enabling mutual learning, co-innovation, and co-production among a diverse stakeholder community, where business transformation and innovation are achieved.Keywords: business transformation, innovation, foresight, critical design
Procedia PDF Downloads 701885 Islamophobia, Years After 9/11: An Assessment of the American Media
Authors: Nasa'i Muhammad Gwadabe
Abstract:
This study seeks to find the extent to which the old Islamophobic prejudice was tilted towards a more negative direction in the United States following the 9/11 terrorist attacks. It is hypothesized that, the 9/11 attacks in the United States reshaped the old Islamophobic prejudice through the reinforcement of a strong social identity construction of Muslims as “out-group”. The “social identity” and “discourse representation” theories are used as framework for analysis. To test the hypothesis, two categories were created: the prejudice (out-group) and the tolerance (in-group) categories. The Prejudice (out-group) against Muslims category was coded to include six attributes: (Terrorist, Threat, Women's Rights violation, Undemocratic, Backward and Intolerant); while the tolerance (In-group) for Muslims category was also coded to include six attributes: (Peaceful, civilized, educated, partners trustworthy and honest). Data are generated from the archives of three American newspapers: The Los Angeles Times, New York Times and USA Today using specific search terms and specific date range; from 9/11/1996 to 9/11/2006, that is five years before and five years after the 9/11. An aggregate of 20595 articles were generated from the search of the three newspapers throughout the search periods. Conclusively, for both pre and post 9/11 periods, the articles generated under the category of prejudice (out-group) against Muslims revealed a higher frequency, against that of tolerance (in-group) for them, which is lesser. Finally, The comparison between the pre and post 9/11 periods showed that, the increased Prejudice (out-group) against Muslims was most influenced through libeling them as terrorist, which signaled a skyrocketed increase from pre to post 9/11.Keywords: in-group, Islam, Islamophobia, Muslims, out-group, prejudice, terrorism, the 9/11 and tolerance
Procedia PDF Downloads 2981884 A Research on the Benefits of Drone Usage in Industry by Determining Companies Using Drone in the World
Authors: Ahmet Akdemir, Güzide Karakuş, Leyla Polat
Abstract:
Aviation that has been arisen in accordance with flying request that is existing inside of people, has not only made life easier by making a great contribution to humanity; it has also accelerated globalization by reducing distances between countries. It is seen that the growth rate of aviation industry has reached the undreamed level when it is looked back on. Today, the last point in aviation is unmanned aerial vehicles that are self-ventilating and move in desired coordinates without any onboard pilot. For those vehicles, there are two different control systems are developed. In the first type of control, an unmanned aerial vehicle (UAV) moves according to instructions of a remote control. UAV that moves with a remote control is named as drone; it can be used personally. In the second one, there is a flight plan that is programmed and placed inside of UAV before flight. Recently, drones have started to be used in unimagined areas and utilize specific, important benefits for any industry. Within this framework, this study answers the question that is drone usage would be beneficial for businesses or not. To answer this question, applied basic methodologies are determining businesses using drone in the world, their purposes to use drone, and then, comparing their economy as before drone and after drone. In the end of this study, it is seen that many companies in different business areas use drone in logistics support, and it makes their work easier than before. This paper has contributed to academic literature about this subject, and it has introduced the benefits of drone usage for businesses. In addition, it has encouraged businesses that they keep pace with this technological age by following the developments about drones.Keywords: aviation, drone, drone in business, unmanned aerial vehicle
Procedia PDF Downloads 2461883 Projections of Climate Change in the Rain Regime of the Ibicui River Basin
Authors: Claudineia Brazil, Elison Eduardo Bierhals, Francisco Pereira, José Leandro Néris, Matheus Rippel, Luciane Salvi
Abstract:
The global concern about climate change has been increasing, since the emission of gases from human activities contributes to the greenhouse effect in the atmosphere, indicating significant impacts to the planet in the coming years. The study of precipitation regime is fundamental for the development of research in several areas. Among them are hydrology, agriculture, and electric sector. Using the climatic projections of the models belonging to the CMIP5, the main objective of the paper was to present an analysis of the impacts of climate change without rainfall in the Uruguay River basin. After an analysis of the results, it can be observed that for the future climate, there is a tendency, in relation to the present climate, for larger numbers of dry events, mainly in the winter months, changing the pluviometric regime for wet summers and drier winters. Given this projected framework, it is important to note the importance of adequate management of the existing water sources in the river basin, since the value of rainfall is reduced for the next years, it may compromise the dynamics of the ecosystems in the region. Facing climate change is fundamental issue for regions and cities all around the world. Society must improve its resilience to phenomenon impacts, and spreading the knowledge among decision makers and citizens is also essential. So, these research results can be subsidies for the decision-making in planning and management of mitigation measures and/or adaptation in south Brazil.Keywords: climate change, hydrological potential, precipitation, mitigation
Procedia PDF Downloads 3381882 Time and Cost Prediction Models for Language Classification Over a Large Corpus on Spark
Authors: Jairson Barbosa Rodrigues, Paulo Romero Martins Maciel, Germano Crispim Vasconcelos
Abstract:
This paper presents an investigation of the performance impacts regarding the variation of five factors (input data size, node number, cores, memory, and disks) when applying a distributed implementation of Naïve Bayes for text classification of a large Corpus on the Spark big data processing framework. Problem: The algorithm's performance depends on multiple factors, and knowing before-hand the effects of each factor becomes especially critical as hardware is priced by time slice in cloud environments. Objectives: To explain the functional relationship between factors and performance and to develop linear predictor models for time and cost. Methods: the solid statistical principles of Design of Experiments (DoE), particularly the randomized two-level fractional factorial design with replications. This research involved 48 real clusters with different hardware arrangements. The metrics were analyzed using linear models for screening, ranking, and measurement of each factor's impact. Results: Our findings include prediction models and show some non-intuitive results about the small influence of cores and the neutrality of memory and disks on total execution time, and the non-significant impact of data input scale on costs, although notably impacts the execution time.Keywords: big data, design of experiments, distributed machine learning, natural language processing, spark
Procedia PDF Downloads 1091881 Space Time Adaptive Algorithm in Bi-Static Passive Radar Systems for Clutter Mitigation
Authors: D. Venu, N. V. Koteswara Rao
Abstract:
Space – time adaptive processing (STAP) is an effective tool for detecting a moving target in spaceborne or airborne radar systems. Since airborne passive radar systems utilize broadcast, navigation and excellent communication signals to perform various surveillance tasks and also has attracted significant interest from the distinct past, therefore the need of the hour is to have cost effective systems as compared to conventional active radar systems. Moreover, requirements of small number of secondary samples for effective clutter suppression in bi-static passive radar offer abundant illuminator resources for passive surveillance radar systems. This paper presents a framework for incorporating knowledge sources directly in the space-time beam former of airborne adaptive radars. STAP algorithm for clutter mitigation for passive bi-static radar has better quantitation of the reduction in sample size thereby amalgamating the earlier data bank with existing radar data sets. Also, we proposed a novel method to estimate the clutter matrix and perform STAP for efficient clutter suppression based on small sample size. Furthermore, the effectiveness of the proposed algorithm is verified using MATLAB simulations in order to validate STAP algorithm for passive bi-static radar. In conclusion, this study highlights the importance for various applications which augments traditional active radars using cost-effective measures.Keywords: bistatic radar, clutter, covariance matrix passive radar, STAP
Procedia PDF Downloads 2901880 Markowitz and Implementation of a Multi-Objective Evolutionary Technique Applied to the Colombia Stock Exchange (2009-2015)
Authors: Feijoo E. Colomine Duran, Carlos E. Peñaloza Corredor
Abstract:
There modeling component selection financial investment (Portfolio) a variety of problems that can be addressed with optimization techniques under evolutionary schemes. For his feature, the problem of selection of investment components of a dichotomous relationship between two elements that are opposed: The Portfolio Performance and Risk presented by choosing it. This relationship was modeled by Markowitz through a media problem (Performance) - variance (risk), ie must Maximize Performance and Minimize Risk. This research included the study and implementation of multi-objective evolutionary techniques to solve these problems, taking as experimental framework financial market equities Colombia Stock Exchange between 2009-2015. Comparisons three multiobjective evolutionary algorithms, namely the Nondominated Sorting Genetic Algorithm II (NSGA-II), the Strength Pareto Evolutionary Algorithm 2 (SPEA2) and Indicator-Based Selection in Multiobjective Search (IBEA) were performed using two measures well known performance: The Hypervolume indicator and R_2 indicator, also it became a nonparametric statistical analysis and the Wilcoxon rank-sum test. The comparative analysis also includes an evaluation of the financial efficiency of the investment portfolio chosen by the implementation of various algorithms through the Sharpe ratio. It is shown that the portfolio provided by the implementation of the algorithms mentioned above is very well located between the different stock indices provided by the Colombia Stock Exchange.Keywords: finance, optimization, portfolio, Markowitz, evolutionary algorithms
Procedia PDF Downloads 2901879 Maternal-Fetal Bonding for African American Mothers
Authors: Tracey Estriplet-Adams
Abstract:
This paper focuses on the influence of maternal-fetal bonding by examining attachment theory, psycho-social-cultural influences/adaptations, and maternal well-being. A systematic review methodology was used to synthesize research results to summarize current evidence that can contribute to evidence-based practices. It explores the relationship between attachment styles, prenatal attachment, and perceptions of maternal-infant bonding/attachment six weeks postpartum. It also examines the protective factors of maternal-fetal attachment development. The research explores Bowlby's attachment theory and its relevance to maternal-fetal bonding with a Black Feminist Theory lens. Additionally, it discusses the impact of perceived stress, social support, and ecological models on maternal-fetal attachment. The relationship between maternal well-being, maternal-fetal attachment, and early postpartum bonding is reviewed. Moreover, the paper specifically addresses black mothers and maternal-fetal bonding, exploring the intersectionality of race, ethnicity, class, geographic location, cultural identities, and immigration status. It considers the role of familial and partner support, as well as the relationship between maternal attachment style and maternal-fetal bonding, within the framework of attachment theory and black feminist theory. Therefore, it is imperative to center Black women's voices in research, policy, and healthcare practices. Black women are experts in their own experiences and advocate for their autonomy in decision-making regarding maternal-fetal health. By amplifying their voices, we can ensure that interventions are grounded in their lived experiences.Keywords: maternal-fetal bonding, infant well-being, maternal-infant attachment, black mothers
Procedia PDF Downloads 681878 Informing the Implementation of Career Conversations in Secondary Schools for the Building of Student Career Competencies: The Case of Portugal
Authors: Cristina Isabrl de Oliveira SAntos
Abstract:
The study aims to investigate how transferrable and effective career conversations could be, in the context of general track Portuguese secondary schools, with the view of improving students’ career competencies. It does so by analysing: 1) the extent to which students’ perceptions of career conversations relate with their existing career competencies, 2) the extent to which each of the parameters; perceptions of career conversations and student career competencies, relate with student situational and personal characteristics, 3) how patterns in perceptions of headteachers and of teachers at a school, regarding the implementation of career conversations, correlate to the views of students regarding career conversations and to school contextual characteristics. Data were collected from 27 secondary schools out of 32 in the same district of Aveiro, in Portugal. Interviews were performed individually, with 27 headteachers, and in groups, with a total of 10 teacher groups and 11 student groups. Survey responses were also collected from742 studentsand 310 teachers. Interview responses were coded and analysed using grounded theory principles. Data from questionnaires is currently beingscrutinised through descriptive statistics with SPSS, and Structural Equation Modelling (SEM). Triangulation during different stages of data analysis uses the principles of retroduction and abduction of the realist evaluation framework. Conclusions from the pilot-study indicate that student perceptions scores on content and relationship in career conversations change according to their career competencies and the type of school. Statistically significant differences in perceptions of career conversations were found for subgroups based on gender and parent educational level.Keywords: career conversations, career competencies, secondary education, teachers
Procedia PDF Downloads 1341877 Guarding the Fortress: Intellectual Property Rights and the European Union’s Cross-Border Jurisdiction
Authors: Sara Vora (Hoxha)
Abstract:
The present article delves into the intricate matters concerning Intellectual Property Rights (IPR) and cross-border jurisdiction within the confines of the European Union (EU). The prevalence of cross-border intellectual property rights (IPR) disputes has increased in tandem with the globalization of commerce and the widespread adoption of technology. The European Union (EU) is not immune to this trend. The manuscript presents a comprehensive analysis of various forms of intellectual property rights (IPR), such as patents, trademarks, and copyrights, and the regulatory framework established by the European Union (EU) to oversee these rights. The present article examines the diverse approaches employed for ascertaining the appropriate jurisdiction within the European Union (EU), and their potential application in the sphere of cross-border intellectual property rights (IPR) conflicts. The article sheds light on jurisdictional issues and outcomes of significant cross-border intellectual property rights (IPR) disputes in the European Union (EU). Additionally, the document provides suggestions for effectively managing intellectual property rights conflicts across borders within the European Union, which encompasses the utilization of alternative methods for resolving disputes. The article highlights the significance of comprehending the relevant jurisdiction in the European Union for Intellectual Property Rights (IPR). It also offers optimal approaches for enterprises and individuals who aim to safeguard their intellectual property beyond national boundaries. The primary objective of this article is to furnish a thorough comprehension of Intellectual Property Rights (IPR) and the relevant jurisdiction in the European Union (EU). Additionally, it endeavors to provide pragmatic recommendations for managing cross-border IPR conflicts in this intricate and ever-changing legal milieu.Keywords: intellectual property rights (IPR), cross-border jurisdiction, applicable laws and regulations, dispute resolution, best practices
Procedia PDF Downloads 691876 Controlled Growth of Charge Transfer Complex Nanowire by Physical Vapor Deposition Method Using Dielectrophoretic Force
Authors: Rabaya Basori, Arup K. Raychaudhuri
Abstract:
In recent years, a variety of semiconductor nanowires (NWs) has been synthesized and used as basic building blocks for the development of electronic and optoelectronic nanodevices. Dielectrophoresis (DEP) has been widely investigated as a scalable technique to trap and manipulate polarizable objects. This includes biological cells, nanoparticles, DNA molecules, organic or inorganic NWs and proteins using electric field gradients. In this article, we have used DEP force to localize nanowire growth by physical vapor deposition (PVD) method as well as control of NW diameter on field assisted growth of the NWs of CuTCNQ (Cu-tetracyanoquinodimethane); a metal-organic charge transfer complex material which is well known of resistive switching. We report a versatile analysis platform, based on a set of nanogap electrodes, for the controlled growth of nanowire. Non-uniform electric field and dielectrophoretic force is created in between two metal electrodes, patterned by electron beam lithography process. Suspended CuTCNQ nanowires have been grown laterally between two electrodes in the vicinity of electric field and dielectric force by applying external bias. Growth and diameter dependence of the nanowires on external bias has been investigated in the framework of these two forces by COMSOL Multiphysics simulation. This report will help successful in-situ nanodevice fabrication with constrained number of NW and diameter without any post treatment.Keywords: nanowire, dielectrophoretic force, confined growth, controlled diameter, comsol multiphysics simulation
Procedia PDF Downloads 1841875 Finding the Theory of Riba Avoidance: A Scoping Review to Set the Research Agenda
Authors: Randa Ismail Sharafeddine
Abstract:
The Islamic economic system is distinctive in that it implicitly recognizes money as a separate, independent component of production capable of assuming risk and so entitled to the same reward as other Entrepreneurial Factors of Production (EFP). Conventional theory does not identify money capital explicitly as a component of production; rather, interest is recognized as a reward for capital, the interest rate is the cost of money capital, and it is also seen as a cost of physical capital. The conventional theory of production examines how diverse non-entrepreneurial resources (Land, Labor, and Capital) are selected; however, the economic theory community is largely unaware of the reasons why these resources choose to remain as non-entrepreneurial resources as opposed to becoming entrepreneurial resources. Should land, labor, and financial asset owners choose to work for others in return for rent, income, or interest, or should they engage in entrepreneurial risk-taking in order to profit. This is a decision made often in the actual world, but it has never been effectively treated in economic theory. This article will conduct a critical analysis of the conventional classification of factors of production and propose a classification for resource allocation and income distribution (Rent, Wages, Interest, and Profits) that is more rational, even within the conventional theoretical framework for evaluating and developing production and distribution theories. Money is an essential component of production in an Islamic economy, and it must be used to sustain economic activity.Keywords: financial capital, production theory, distribution theory, economic activity, riba avoidance, institution of participation
Procedia PDF Downloads 871874 The Effectiveness of Treating Anxiety with Reiki
Authors: Erika Humphreys
Abstract:
The effectiveness of treating anxiety with Reiki is explored within ten quantitative studies. The methodology utilized for a critical appraisal and systematic review of the literature is explained with inclusion and exclusion criteria. The theoretical framework for the project is grounded in the work of Hildegard Peplau, whose nursing theory based on the therapeutic use of self is foundational for Reiki implementation. A thorough critique of the literature is conducted for key components of robustness and believability. This critique is conducted using a structured guide addressing synthesized strengths and weaknesses of the body of literature. A synthesis of the literature explores the findings of the studies. This synthesis reports on Reiki’s effectiveness in treating anxiety within a variety of patient settings and populations, its effect on subscales of anxiety, physiological manifestations of anxiety, and pain associated with anxiety. Cultural considerations affecting Reiki’s potential effectiveness are discussed. Gaps in the literature are examined, including the studies’ narrow sample population, lack of participant exclusionary factors for controlled outcome data, and the lack of studies across time. Implications for future research are discussed with recommendations for expanded research that includes a broader variety of settings, age groups, and patient diagnoses, including anxiety disorders, for research data that is transferable. Implications for further practice for the advanced practice registered nurse (APRN) are explored, with the potential benefits for both providers and patients, including improved patient satisfaction and expansion of provider treatment modalities.Keywords: Reiki, anxiety, complementary alternative medicine, pandemic
Procedia PDF Downloads 1501873 The Changing Face of Pedagogy and Curriculum Development Sub-Components of Teacher Education in Nigeria: A Comparative Evaluation of the University of Lagos, Lagos State University, and Sokoto State University Models
Authors: Saheed A. Rufai
Abstract:
Courses in Pedagogy and Curriculum Development expectedly occupy a core place in the professional education components of teacher education at Lagos, Lagos State, and Sokoto State Universities. This is in keeping with the National Teacher Education Policy statement that stipulates that for student teachers to learn effectively teacher education institutions must be equipped to prepare them adequately. However, there is a growing concern over the unfaithfulness of some of the dominant Nigerian models of teacher education, to this policy statement on teacher educators’ knowledge and skills. The purpose of this paper is to comparatively evaluate both the curricular provisions and the manpower for the pedagogy and curriculum development sub-components of the Lagos, Lagos State, and Sokoto State models of teacher preparation. The paper employs a combination of quantitative and qualitative methods. Preliminary analysis revealed a new trend in teacher educators’ pedagogical knowledge and understanding, with regard to the two intertwined sub-components. The significance of such a study lies in its potential to determine the degree of conformity of each of the three models to the stipulated standards. The paper’s contribution to scholarship lies in its correlation of deficiencies in teacher educators’ professional knowledge and skills and articulation of the implications of such deficiencies for the professional knowledge and skills of the prospective teachers, with a view to providing a framework for reforms.Keywords: curriculum development, pedagogy, teacher education, dominant Nigerian teacher preparation models
Procedia PDF Downloads 4381872 A Collaborative, Arts-Informed Action Research Investigation of Child-Led Assessment
Authors: Dragana Gnjatovic
Abstract:
Assessment is a burning topic in education policy and practice due to measurement-driven neoliberal agendas of quality and standardisation of assessment practice through high stakes standardised testing systems that are now influencing early childhood education. This paper presents a collaborative, arts-informed action research project which places children at the centre of their learning, with assessment as an integral part of play-based learning processes. It aims to challenge traditional approaches to assessment that are often teacher-led and decontextualised from the processes of learning through exploring approaches where children's voices are central, and their creative arts expressions are used to assess learning and development. The theoretical framework draws on Vygotsky's sociocultural theory and Freire's critical pedagogy, which indicate the importance of socially constructed reality where knowledge is the result of collaboration between children and adults. This reality perceives children as competent agents of their own learning processes. An interpretive-constructivist and critical-transformative paradigm underpin collaborative action research in a three to five-year-old setting, where creative methods like storytelling, play, drama, drawing are used to assess children's learning. As data collection and analysis are still in process, this paper will present the methodology and some data vignettes, with the aim of stimulating discussion about innovation in assessment and contribution of the collaborative enquiry in the field of Early Childhood Education and Care.Keywords: assessment for learning, creative methodologies, collaborative action research, early childhood education and care
Procedia PDF Downloads 1271871 Societal Acceptability Conditions of Genome Editing for Upland Rice in Madagascar
Authors: Anny Lucrece Nlend Nkott, Ludovic Temple
Abstract:
The appearance in 2012 of the CRISPR-CaS9 genome editing technique marks a turning point in the field of genetics. This technique would make it possible to create new varieties quickly and cheaply. Although some consider CRISPR-CaS9 to be revolutionary, others consider it a potential societal threat. To document the controversy, we explain the socioeconomic conditions under which this technique could be accepted for the creation of a rainfed rice variety in Madagascar. The methodological framework is based on 38 individual and semistructured interviews, a multistakeholder forum with 27 participants, and a survey of 148 rice producers. Results reveal that the acceptability of genome editing requires (i) strengthening the seed system through the operationalization of regulatory structures and the upgrading of stakeholders' knowledge of genetically modified organisms, (ii) assessing the effects of the edited variety on biodiversity and soil nitrogen dynamics, and (iii) strengthening the technical and human capacities of the biosafety body. Structural mechanisms for regulating the seed system are necessary to ensure safe experimentation of genome editing techniques. Organizational innovation also appears to be necessary. The study documents how collective learning between communities of scientists and nonscientists is a component of systemic processes of varietal innovation. This study was carried out with the financial support of the GENERICE project (Generation and Deployment of Genome-Edited, Nitrogen-use-Efficient Rice Varieties), funded by the Agropolis Foundation.Keywords: CRISPR-CaS9, varietal innovation, seed system, innovation system
Procedia PDF Downloads 1441870 Work in the Industry of the Future-Investigations of Human-Machine Interactions
Authors: S. Schröder, P. Ennen, T. Langer, S. Müller, M. Shehadeh, M. Haberstroh, F. Hees
Abstract:
Since a bit over a year ago, Festo AG and Co. KG, Festo Didactic SE, robomotion GmbH, the researchers of the Cybernetics-Lab IMA/ZLW and IfU, as well as the Human-Computer Interaction Center at the RWTH Aachen University, have been working together in the focal point of assembly competences to realize different scenarios in the field of human-machine interaction (HMI). In the framework of project ARIZ, questions concerning the future of production within the fourth industrial revolution are dealt with. There are many perspectives of human-robot collaboration that consist Industry 4.0 on an individual, organization and enterprise level, and these will be addressed in ARIZ. The aim of the ARIZ projects is to link AI-Approaches to assembly problems and to implement them as prototypes in demonstrators. To do so, island and flow based production scenarios will be simulated and realized as prototypes. These prototypes will serve as applications of flexible robotics as well as AI-based planning and control of production process. Using the demonstrators, human interaction strategies will be examined with an information system on one hand, and a robotic system on the other. During the tests, prototypes of workspaces that illustrate prospective production work forms will be represented. The human being will remain a central element in future productions and will increasingly be in charge of managerial tasks. Questions thus arise within the overall perspective, primarily concerning the role of humans within these technological revolutions, as well as their ability to act and design respectively to the acceptance of such systems. Roles, such as the 'Trainer' of intelligent systems may become a possibility in such assembly scenarios.Keywords: human-machine interaction, information technology, island based production, assembly competences
Procedia PDF Downloads 1941869 Planning and Urban Climate Change Adaptation: Italian Literature Review
Authors: Mara Balestrieri
Abstract:
Climate change has long been the focus of attention for the growing impact of extreme weather events and global warming in many areas of the planet and the evidence of economic, social, and environmental damage caused by global warming. Nowadays, climate change is recognized as a critical global problem. Several initiatives have been undertaken over time to enhance the long theoretical debate and field experience in order to reduce Co2 emissions and contain climate alteration. However, the awareness that climate change is already taking place has led to a growing demand for adaptation. It is certainly a matter of anticipating the negative effects of climate change but, at the same time, implementing appropriate actions to prevent climate change-related damage, minimize the problems that may result, and also seize any opportunities that may arise. Consequently, adaptation has become a core element of climate policy and research. However, the attention to this issue has not developed in a uniform manner across countries. Some countries are further ahead than others. This paper examines the literature on climate change adaptation developed until 2018 in Italy, considering the urban dimension, to provide a framework for it, and to identify main topics and features. The papers were selected from Scopus and were analyzed through a matrix that we propose. Results demonstrate that adaptation to climate change studies attracted increasing attention from Italian scientific communities in the last years, although Italian scientific production is still quantitatively lower than in other countries and describes strengths and weaknesses in line with international panorama with respect to objectives, sectors, and problems.Keywords: adaptation, bibliometric literature, climate change, urban studies
Procedia PDF Downloads 67