Search results for: inclusive economic development
6493 Influential Factors for Consumerism in Womens Western Formal Wear: An Indian Perspective
Authors: Namrata Jain, Vishaka Karnad
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Fashion has always fascinated people through ages. Indian women’s wear in particular women's western formal wear has gone through transformational phases during the past decade. Increasing number of working women, independence in deciding financial matters, media exposure and awareness of current trends has provided a different dimension to the apparel segment. With globalization and sharing of cultures, in India formal women’s wear is no longer restricted to ethnic outfits like a sari or salwarkameez. Strong western influence has been observed in the process of designing, production and use of western formal wear by working women as consumers. The present study focuses on the psychographics parameters, consumer buying preferences and their relation to the present market scenario. Qualitative and quantitative data was gathered through a observation, consumer survey and study of brands. A questionnaire was prepared and uploaded as a google form to gather primary data from hundred consumer respondents. The respondent samples were drawn through snowball and purposive sampling technique. Consumers’ buying behavior is influenced by various aspects like age group, occupation, income and their personal preferences. Frequency of use, criteria for brand selection, styles of formal wear and motivating factors for purchase of western formals by working women were the other influential factors under consideration. It was observed that higher consumption and more popularity was indicated by women in the age group of 21-30 years. Amongst western formal wear shirts and trousers were noted to be the most preferred in Mumbai. It may be noted that consumers purchased and used branded western formal wear for reasons of comfort and value for money. Past experience in using the product and price were some of the important criteria for brand loyalty but the need for variety lured consumers to look for other brands. Fit of the garment was rated as the most important motivational factor while selecting products for purchase. With the advancement of women’s economic status, self-reliance, women role and image in the society, impulsive buying has increased with increase in consumerism. There is an ever growing demand for innovations in cuts, styles, designs, colors and fabrics. The growing fashion consciousness at the work place has turned women’s formal wear segment into a lucrative and highly evolving market thus providing space for new entrepreneurs to become a part of this developing sector.Keywords: buying behavior, consumerism, fashion, western formal wear
Procedia PDF Downloads 4676492 Development of Combined Cure Type for Rigid Pavement with Reactive Powder Concrete
Authors: Fatih Hattatoglu, Abdulrezzak Bakiş
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In this study, fiberless reactive powder concrete (RPC) was produced with high pressure and flexural strength. C30/37 concrete was chosen as the control sample. In this study, 9 different cure types were applied to fiberless RPC. the most suitable combined cure type was selected according to the pressure and flexure strength. Pressure and flexural strength tests were applied to these samples after curing. As a result of the study, the combined cure type with the highest pressure resistance was obtained. The highest pressure resistance was achieved with consecutive standard water cure at 20 °C for 7 days – hot water cure at 90 °C for 2 days - drying oven cure at 180 °C for 2 days. As a result of the study, the highest pressure resistance of fiberless RPC was found as 123 MPa with water cure at 20 °C for 7 days - hot water cure at 90 °C for 2 days - drying oven cure at 180 °C for 2 days; and the highest flexural resistance was found as 8.37 MPa for the same combined cure type.Keywords: combined cure, flexural test, reactive powder concrete (RPC), rigid pavement, pressure test
Procedia PDF Downloads 2096491 Examining the Drivers to Sustainable Consumer Behavioral Intention in the Irish Aviation Industry
Authors: Amy Whelan
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This paper presents a comprehensive study on the drivers of sustainable consumer behavior in the Irish aviation industry. It aims to understand the underlying factors that facilitate or hinder a consumer's sustainable consumption habits related to aviation and its impact on the achievement of the United Nations' Sustainable Development Goals (SDGs). Adopted by all UN member states in 2015, the SDGs represent a global call to action to end poverty, protect the planet, and ensure peace and prosperity for all by 2030. The research takes a mixed methodology approach, combining focus groups in phase 1 and a survey in phase 2. The focus groups will be used to elicit qualitative data to understand the attitudes and perceptions of consumers toward sustainable aviation and tourism in Ireland. The survey in phase 2 will then provide a more comprehensive and quantifiable understanding of the topic. The results of this study will contribute to the advancement of knowledge in the field of sustainable tourism and will provide insights into the drivers of sustainable consumer behavior in the Irish aviation industry. It is expected that the findings of this research will have practical implications for industry stakeholders and policy-makers in their efforts to promote sustainable tourism and achieve the SDGs in Ireland.Keywords: aviation, consumer behaviour, marketing, sustainability
Procedia PDF Downloads 816490 Recent Development on Application of Microwave Energy on Process Metallurgy
Authors: Mamdouh Omran, Timo Fabritius
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A growing interest in microwave heating has emerged recently. Many researchers have begun to pay attention to microwave energy as an alternative technique for processing various primary and secondary raw materials. Compared to conventional methods, microwave processing offers several advantages, such as selective heating, rapid heating, and volumetric heating. The present study gives a summary on our recent works related to the use of microwave energy for the recovery of valuable metals from primary and secondary raw materials. The research is mainly focusing on: Application of microwave for the recovery and recycling of metals from different metallurgical industries wastes (i.e. electric arc furnace (EAF) dust, blast furnace (BF), basic oxygen furnace (BOF) sludge). Application of microwave for upgrading and recovery of valuable metals from primary raw materials (i.e. iron ore). The results indicated that microwave heating is a promising and effective technique for processing primary and secondary steelmaking wastes. After microwave treatment of iron ore for 60 s and 900 W, about a 28.30% increase in grindability.Wet high intensity magnetic separation (WHIMS) indicated that the magnetic separation increased from 34% to 98% after microwave treatment for 90 s and 900 W. In the case of EAF dust, after microwave processing at 1100 W for 20 min, Zinc removal from 64 % to ~ 97 %, depending on mixture ratio and treatment time.Keywords: dielectric properties, microwave heating, raw materials, secondary raw materials
Procedia PDF Downloads 976489 Effects of Land Certification in Securing Women’s Land Rights: The Case of Oromia Regional State, Central Ethiopia
Authors: Mesfin Nigussie Ibido
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The study is designed to explore the effects of land certification in securing women’s land rights of two rural villages in Robe district at Arsi Zone of Oromia regional state. The land is very critical assets for human life survival and the backbone for rural women livelihood. Equal access and control power to the land have given a chance for rural women to participate in different economic activities and improve their bargaining ability for decision making on their rights. Unfortunately, women were discriminated and marginalized from access and control of land for centuries through customary practices. However, in many countries, legal reform is used as a powerful tool for eliminating discriminatory provisions in property rights. Among other equity and efficiency concerns, the land certification program in Ethiopia attempts to address gender bias concerns of the current land-tenure system. The existed rural land policy was recognizing a women land rights and benefited by strengthened wives awareness of their land rights and contribute to the strong involvement of wives in decision making. However, harmful practices and policy implementation problems still against women do not fully exercise a provision of land rights in a different area of the country. Thus, this study is carried out to examine the effect of land certification in securing women’s land rights by eliminating the discriminatory nature of cultural abuses of study areas. Probability and non-probability sampling types were used, and the sample size was determined by using the sampling distribution of the proportion method. Systematic random sampling method was applied by taking the nth element of the sample frame. Both quantitative and qualitative research methods were applied, and survey respondents of 192 households were conducted and administering questionnaires in the quantitative method. The qualitative method was applied by interviews with focus group discussions with rural women, case stories, Village, and relevant district offices. Triangulation method was applied in data collection, data presentation and in the analysis of findings. Study finding revealed that the existence of land certification is affected by rural women positively by advancing their land rights, but still, some women are challenged by unsolved problems in the study areas. The study forwards recommendation on the existed problems or gaps to ensure women’s equal access to and control over land in the study areas.Keywords: decision making, effects, land certification, land right, tenure security
Procedia PDF Downloads 2076488 The Relationship between the Competence Perception of Student and Graduate Nurses and Their Autonomy and Critical Thinking Disposition
Authors: Zülfiye Bıkmaz, Aytolan Yıldırım
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This study was planned as a descriptive regressive study in order to determine the relationship between the competency levels of working nurses, the levels of competency expected by nursing students, the critical thinking disposition of nurses, their perceived autonomy levels, and certain socio demographic characteristics. It is also a methodological study with regard to the intercultural adaptation of the Nursing Competence Scale (NCS) in both working and student samples. The sample of the study group of nurses at a university hospital for at least 6 months working properly and consists of 443 people filled out questionnaires. The student group, consisting of 543 individuals from the 4 public university nursing 3rd and 4th grade students. Data collection tools consisted of a questionnaire prepared in order to define the socio demographic, economic, and personal characteristics of the participants, the ‘Nursing Competency Scale’, the ‘Autonomy Subscale of the Sociotropy – Autonomy Scale’, and the ‘California Critical Thinking Disposition Inventory’. In data evaluation, descriptive statistics, nonparametric tests, Rasch analysis and correlation and regression tests were used. The language validity of the ‘NCS’ was performed by translation and back translation, and the context validity of the scale was performed with expert views. The scale, which was formed into its final structure, was applied in a pilot application from a group consisting of graduate and student nurses. The time constancy of the test was obtained by analysis testing retesting method. In order to reduce the time problems with the two half reliability method was used. The Cronbach Alfa coefficient of the scale was found to be 0.980 for the nurse group and 0.986 for the student group. Statistically meaningful relationships between competence and critical thinking and variables such as age, gender, marital status, family structure, having had critical thinking training, education level, class of the students, service worked in, employment style and position, and employment duration were found. Statistically meaningful relationships between autonomy and certain variables of the student group such as year, employment status, decision making style regarding self, total duration of employment, employment style, and education status were found. As a result, it was determined that the NCS which was adapted interculturally was a valid and reliable measurement tool and was found to be associated with autonomy and critical thinking.Keywords: nurse, nursing student, competence, autonomy, critical thinking, Rasch analysis
Procedia PDF Downloads 3976487 The Environmental Impact Assessment of Land Use Planning (Case Study: Tannery Industry in Al-Garma District)
Authors: Husam Abdulmuttaleb Hashim
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The environmental pollution problems represent a great challenge to the world, threatening to destroy all the evolution that mankind has reached, the organizations and associations that cares about environment are trying to warn the world from the forthcoming danger resulted from excessive use of nature resources and consuming it without looking to the damage happened as a result of unfair use of it. Most of the urban centers suffers from the environmental pollution problems and health, economic, and social dangers resulted from this pollution, and while the land use planning is responsible for distributing different uses in urban centers and controlling the interactions between these uses to reach a homogeneous and perfect state for the different activities in cities, the occurrence of environmental problems in the shade of existing land use planning operation refers to the disorder or insufficiency in this operation which leads to presence of such problems, and this disorder lays in lack of sufficient importance to the environmental considerations during the land use planning operations and setting up the master plan, so the research start to study this problem and finding solutions for it, the research assumes that using accurate and scientific methods in early stages of land use planning operation will prevent occurring of environmental pollution problems in the future, the research aims to study and show the importance of the environmental impact assessment method (EIA) as an important planning tool to investigate and predict the pollution ranges of the land use that has a polluting pattern in land use planning operation. This research encompasses the concept of environmental assessment and its kinds and clarifies environmental impact assessment and its contents, the research also dealt with urban planning concept and land use planning, it also dealt with the current situation of the case study (Al-Garma district) and the land use planning in it and explain the most polluting use on the environment which is the industrial land use represented in the tannery industries and then there was a stating of current situation of this land use and explaining its contents and environmental impacts resulted from it, and then we analyzed the tests applied by the researcher for water and soil, and perform environmental evaluation through applying environmental impact assessment matrix using the direct method to reveal the pollution ranges on the ambient environment of industrial land use, and we also applied the environmental and site limits and standards by using (GIS) and (AUTOCAD) to select the site of the best alternative of the industrial region in Al-Garma district after the research approved the unsuitability of its current site location for the environmental and site limitations, the research conducted some conclusions and recommendations regard clarifying the concluded facts and to set the proper solutions.Keywords: EIA, pollution, tannery industry, land use planning
Procedia PDF Downloads 4506486 Production Sharing Contracts Transparency Simulation
Authors: Chariton Christou, David Cornwell
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Production Sharing Contract (PSC) is the type of contract that is being used widely in our time. The financial crisis made the governments tightfisted and they do not have the resources to participate in a development of a field. Therefore, more and more countries introduce the PSC. The companies have the power and the money to develop the field with their own way. The main problem is the transparency of oil and gas companies especially in the PSC and how this can be achieved. Many discussions have been made especially in the U.K. What we are suggesting is a dynamic financial simulation with the help of a flow meter. The flow meter will count the production of each field every day (it will be installed in a pipeline). The production will be the basic input of the simulation. It will count the profit, the costs and more according to the information of the flow meter. In addition it will include the terms of the contract and the costs that have been paid. By all these parameters the simulation will be able to present in real time the information of a field (taxes, employees, R-factor). By this simulation the company will share some information with the government but not all of them. The government will know the taxes that should be paid and what is the sharing percentage of it. All of the other information could be confidential for the company. Furthermore, oil company could control the R-factor by changing the production each day to maximize its sharing percentages and as a result of this the profit. This idea aims to change the way that governments 'control' oil companies and bring a transparency evolution in the industry. With the help of a simulation every country could be next to the company and have a better collaboration.Keywords: production sharing contracts, transparency, simulation
Procedia PDF Downloads 3766485 Geographical Data Visualization Using Video Games Technologies
Authors: Nizar Karim Uribe-Orihuela, Fernando Brambila-Paz, Ivette Caldelas, Rodrigo Montufar-Chaveznava
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In this paper, we present the advances corresponding to the implementation of a strategy to visualize geographical data using a Software Development Kit (SDK) for video games. We use multispectral images from Landsat 7 platform and Laser Imaging Detection and Ranging (LIDAR) data from The National Institute of Geography and Statistics of Mexican (INEGI). We select a place of interest to visualize from Landsat platform and make some processing to the image (rotations, atmospheric correction and enhancement). The resulting image will be our gray scale color-map to fusion with the LIDAR data, which was selected using the same coordinates than in Landsat. The LIDAR data is translated to 8-bit raw data. Both images are fused in a software developed using Unity (an SDK employed for video games). The resulting image is then displayed and can be explored moving around. The idea is the software could be used for students of geology and geophysics at the Engineering School of the National University of Mexico. They will download the software and images corresponding to a geological place of interest to a smartphone and could virtually visit and explore the site with a virtual reality visor such as Google cardboard.Keywords: virtual reality, interactive technologies, geographical data visualization, video games technologies, educational material
Procedia PDF Downloads 2476484 A Novel Breast Cancer Detection Algorithm Using Point Region Growing Segmentation and Pseudo-Zernike Moments
Authors: Aileen F. Wang
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Mammography has been one of the most reliable methods for early detection and diagnosis of breast cancer. However, mammography misses about 17% and up to 30% of breast cancers due to the subtle and unstable appearances of breast cancer in their early stages. Recent computer-aided diagnosis (CADx) technology using Zernike moments has improved detection accuracy. However, it has several drawbacks: it uses manual segmentation, Zernike moments are not robust, and it still has a relatively high false negative rate (FNR)–17.6%. This project will focus on the development of a novel breast cancer detection algorithm to automatically segment the breast mass and further reduce FNR. The algorithm consists of automatic segmentation of a single breast mass using Point Region Growing Segmentation, reconstruction of the segmented breast mass using Pseudo-Zernike moments, and classification of the breast mass using the root mean square (RMS). A comparative study among the various algorithms on the segmentation and reconstruction of breast masses was performed on randomly selected mammographic images. The results demonstrated that the newly developed algorithm is the best in terms of accuracy and cost effectiveness. More importantly, the new classifier RMS has the lowest FNR–6%.Keywords: computer aided diagnosis, mammography, point region growing segmentation, pseudo-zernike moments, root mean square
Procedia PDF Downloads 4536483 Initial Settlers and Gender Norms: Evidence From the United States
Authors: Joanne Haddad
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The distinctive traits of early settlers at initial stages of institutional development may be crucial for cultural formation. In 1973, the cultural geographer Wilbur Zelinsky postulated this in his doctrine of “first effective settlement”. There is however little empirical evidence supporting the role of early settlers in shaping culture over the long run. This paper tests this hypothesis by relating early settlers’ culture to within state variation in gender norms in the United States. Settlers’ culture is captured using past female labor force participation, women’s suffrage, and financial rights at their place of origin. The paper documents the distinctive characteristics of settlers’ populations and provide suggestive evidence in support of the transmission of gender norms across space and time. Results from this analysis show that women’s labor supply is higher, in both the short and long run, in U.S. counties that historically hosted a larger settler population originating from places with favorable gender attitudes. Findings from this study shed new light on the importance of the characteristics of immigrants and their place of origin for cultural formation in hosting societies.Keywords: female labor force participation, settlers, gender norms, cultural formation.
Procedia PDF Downloads 1106482 Spillage Prediction Using Fluid-Structure Interaction Simulation with Coupled Eulerian-Lagrangian Technique
Authors: Ravi Soni, Irfan Pathan, Manish Pande
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The current product development process needs simultaneous consideration of different physics. The performance of the product needs to be considered under both structural and fluid loads. Examples include ducts and valves where structural behavior affects fluid motion and vice versa. Simulation of fluid-structure interaction involves modeling interaction between moving components and the fluid flow. In these scenarios, it is difficult to calculate the damping provided by fluid flow because of dynamic motions of components and the transient nature of the flow. Abaqus Explicit offers general capabilities for modeling fluid-structure interaction with the Coupled Eulerian-Lagrangian (CEL) method. The Coupled Eulerian-Lagrangian technique has been used to simulate fluid spillage through fuel valves during dynamic closure events. The technique to simulate pressure drops across Eulerian domains has been developed using stagnation pressure. Also, the fluid flow is calculated considering material flow through elements at the outlet section of the valves. The methodology has been verified on Eaton products and shows a good correlation with the test results.Keywords: Coupled Eulerian-Lagrangian Technique, fluid structure interaction, spillage prediction, stagnation pressure
Procedia PDF Downloads 3806481 E-Marketing Strategies and Destination Branding for the Tourism Industry in Nigeria
Authors: Abdullahi Marshal Idris, Murtala Mohammed Alamai, Adama Jummai Idris, Bello Mohammed Gwagwada
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The technological revolution of the 1990s have brought about many new opportunities and challenges for the tourism and hospitality industries mostly in Nigeria and with tourism having global industry information as its life-blood and technology becoming fundamental to the ability of the industry to operate effectively and competitively. The whole system of information technologies is being rapidly diffused throughout the tourism industry and no player will escape information technologies impacts. The paper gives an insight into the importance of destination branding and the application of information technologies and the use of Internet in tourism and hospitality industries in Nigeria giving strategic frameworks, providing analysis of the Internet and its impact on these sectors. It also aims to show how technological innovations and information system can be beneficial for destinations companies like game reserves national parks, and other resorts by using the literature of existing efforts in global industry players as well as documented evidences where recommendations for destinations and companies is made to seek to foster the development of this connection by investing considerable resources in marketing activities on social networks and by reinforcing the trust of users, because credibility and reliability are still critical in this area.Keywords: branding, marketing, technology, tourism product
Procedia PDF Downloads 4476480 Intertemporal Individual Preferences for Climate Change Intergenerational Investments – Estimating the Social Discount Rate for Poland
Authors: Monika Foltyn-Zarychta
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Climate change mitigation investment activities are inevitably extended in time extremely. The project cycle does not last for decades – sometimes it stretches out for hundreds of years and the project outcomes impact several generations. The longevity of those activities raises multiple problems in the appraisal procedure. One of the pivotal issues is the choice of the discount rate, which affect tremendously the net present value criterion. The paper aims at estimating the value of social discount rate for intergenerational investment projects in Poland based on individual intertemporal preferences. The analysis is based on questionnaire surveying Polish citizens and designed as contingent valuation method. The analysis aimed at answering two questions: 1) whether the value of the individual discount rate decline with increased time of delay, and 2) whether the value of the individual discount rate changes with increased spatial distance toward the gainers of the project. The valuation questions were designed to identify respondent’s indifference point between lives saved today and in the future due to hypothetical project mitigating climate changes. Several project effects’ delays (of 10, 30, 90 and 150 years) were used to test the decline in value with time. The variability in regard to distance was tested by asking respondents to estimate their indifference point separately for gainers in Poland and in Latvia. The results show that as the time delay increases, the average discount rate value decreases from 15,32% for 10-year delay to 2,75% for 150-year delay. Similar values were estimated for Latvian beneficiaries. There should be also noticed that the average volatility measured by standard deviation also decreased with time delay. However, the results did not show any statistically significant difference in discount rate values for Polish and Latvian gainers. The results showing the decline of the discount rate with time prove the possible economic efficiency of the intergenerational effect of climate change mitigation projects and may induce the assumption of the altruistic behavior of present generation toward future people. Furthermore, it can be backed up by the same discount rate level declared by Polish for distant in space Latvian gainers. The climate change activities usually need significant outlays and the payback period is extremely long. The more precise the variables in the appraisal are, the more trustworthy and rational the investment decision is. The discount rate estimations for Poland add to the vivid discussion concerning the issue of climate change and intergenerational justice.Keywords: climate change, social discount rate, investment appraisal, intergenerational justice
Procedia PDF Downloads 2396479 Sustainable Framework Integration for Construction Project Management: A Multi-Dimensional Analysis
Authors: Tharaki S. Hettiarachchi
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Sustainable construction has gained massive attention in the present world as the construction industry is highly responsible for carbon emissions and other types of unsustainable practices. Yet, the construction industry has not been able to completely attain sustainable goals. Therefore, the present study aims to identify the extent to which sustainability has been considered within the scope of construction project management and to analyze the challenges, gaps, and constraints associated. Accordingly, this study develops a sustainable framework to integrate in construction project management. In accomplishing the research aim, this research integrates a qualitative approach while relying on secondary data sources. The data shall be then analyzed with the use of a systematic literature review (SLR) method while following the PRISMA (2020) guideline and represented in a statistical form. The outcomes of this study may become highly significant in identifying the nature of the existing sustainable frameworks associated with construction project management scopes and to develop a new framework to integrate in order to enhance the effectiveness of sustainable applications in construction management. The outcomes of this research may benefit present and future construction professionals and academicians to organize sustainable construction-related knowledge in a useful way to apply in practical implementation for effective project management. Overall, this study directs present and future construction professionals toward an advanced construction project management mechanism.Keywords: construction, framework development, project management, sustainability
Procedia PDF Downloads 626478 A Conv-Long Short-term Memory Deep Learning Model for Traffic Flow Prediction
Authors: Ali Reza Sattarzadeh, Ronny J. Kutadinata, Pubudu N. Pathirana, Van Thanh Huynh
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Traffic congestion has become a severe worldwide problem, affecting everyday life, fuel consumption, time, and air pollution. The primary causes of these issues are inadequate transportation infrastructure, poor traffic signal management, and rising population. Traffic flow forecasting is one of the essential and effective methods in urban congestion and traffic management, which has attracted the attention of researchers. With the development of technology, undeniable progress has been achieved in existing methods. However, there is a possibility of improvement in the extraction of temporal and spatial features to determine the importance of traffic flow sequences and extraction features. In the proposed model, we implement the convolutional neural network (CNN) and long short-term memory (LSTM) deep learning models for mining nonlinear correlations and their effectiveness in increasing the accuracy of traffic flow prediction in the real dataset. According to the experiments, the results indicate that implementing Conv-LSTM networks increases the productivity and accuracy of deep learning models for traffic flow prediction.Keywords: deep learning algorithms, intelligent transportation systems, spatiotemporal features, traffic flow prediction
Procedia PDF Downloads 1736477 The Effects of Sewage Sludge Usage and Manure on Some Heavy Metals Uptake in Savory (Satureja Hortensis L.)
Authors: Abbas Hani
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In recent decades with the development of technology and lack of food sources, sewage sludge in production of human foods is inevitable. Various sources of municipal and industrial sewage sludge that is produced can provide the requirement of plant nutrients. Soils in arid, semi-arid climate of central Iran that most affected by water drainage, iron and zinc deficiencies, using of sewage sludge is helpful. Therefore, the aim of this study is investigation of sewage sludge and manure application on Ni and Zn uptake by Savory. An experiment in a randomized complete block design with three replications was performed. Sewage sludge treatments consisted of four levels, control, 15, 30, 80 tons per hectares, the manure was used in four levels of control, 20, 40 and 80 tons per hectare. Results showed that the wet and dry weights was not affected by sewage sludge using, while, manure has significant effect on them. The effect of sewage sludge on the cadmium and lead concentrations were significant. Interactions of sewage sludge and manure on dry weight values were not significant. Compare mean analysis showed that increasing the amount of sewage sludge had no significant effect on cadmium concentration and it reduced when sewage sludge usage increased. This is probably due to increased plant growth and reduced concentrations of these elements in the plant.Keywords: savory, lead, cadmium, sewage sludge, manure
Procedia PDF Downloads 4206476 Printing Imperfections: Development of Buckling Patterns to Improve Strength of 3D Printed Steel Plated Elements
Authors: Ben Chater, Jingbang Pan, Mark Evernden, Jie Wang
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Traditional structural steel manufacturing routes normally produce prismatic members with flat plate elements. In these members, plate instability in the lowest buckling mode often dominates failure. It is proposed in the current study to use a new technology of metal 3D printing to print steel-plated elements with predefined imperfection patterns that can lead to higher modes of failure with increased buckling resistances. To this end, a numerical modeling program is carried out to explore various combinations of predefined buckling waves with different amplitudes in stainless steel square hollow section stub columns. Their stiffness, strength, and material consumption against the traditional structural steel members with the same nominal dimensions are assessed. It is found that depending on the slenderness of the plate elements; it is possible for an ‘imperfect’ steel member to achieve up to a 30% increase in strength with just a 3% increase in the material consumption. The obtained results shed some light on the significant potential of the new metal 3D printing technology in achieving unprecedented material efficiency and economical design in the future steel construction industry.Keywords: 3D printing, additive manufacturing, buckling resistance, steel plate buckling, structural optimisation
Procedia PDF Downloads 1466475 Using Virtual Reality to Convey the Information of Food Supply Chain
Authors: Xinrong Li, Jiawei Dai
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Food production, food safety, and the food supply chain are causing a great challenge to human health and the environment. Different kinds of food have different environmental costs. Therefore, a healthy diet can alleviate this problem to a certain extent. In this project, an online questionnaire was conducted to understand the purchase behaviour of consumers and their attitudes towards basic food information. However, the data shows that the public's current consumption habits and ideology do not meet the long-term development of sustainable social needs. In order to solve the environmental problems caused by the unbalanced diet of the public and the social problems of unequal food distribution, the purpose of this paper is to explore how to use the emerging media of VR to visualize food supply chain information so as to attract users' attention to the environmental cost of food. In this project, the food supply chain of imported and local cheese was compared side-by-side in the virtual reality environment, including the origin, transportation, sales, and other processes, which can effectively help users understand the difference between the two processes and environmental costs. Besides, the experimental data demonstrated that the participant would like to choose low environmental cost food after experiencing the whole process.Keywords: virtual reality, information design, food supply chain, environmental cost
Procedia PDF Downloads 986474 Continuance Intention to Use E-administration Information Portal by Non-teaching Staff in Selected Universities, Southwest, Nigeria
Authors: Adebayo Muritala Adegbore
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The e-administration is increasingly being recognized as an important phenomenon in this 21st century and its place in society both at the public and private levels cannot be downplayed. Of close attention is how these platforms are adopted and used in academia due to academia’s role in shaping the overall development of the society, particularly the administrative activities of the non-teaching staff in universities since much has not been done to find out the continuance intention to use e-administration information portal by non-teaching staff in universities. This study, therefore, investigates the continuance intention to use e-administration of information portals of senior non-teaching staff in selected universities in southwest Nigeria. The study’s design was a correlational survey using simple random sampling to select three hundred and fifty-two (352) senior non-teaching staff in the selected universities. A standardized questionnaire was used for data capturing while data were analyzed using the descriptive statistics of frequency counts, percentages, means, and standard deviation for the research questions and the Pearson Product Moment Correlation was used for the hypothesis. Findings revealed that the continuance intention of senior non-teaching staff to use e-administration information portal is positive (x = 3.13), the university portal is one of the most utilized e-administration tools (83.4%), while there was an inversely significant relationship between continuance intention to use and use of e-administration information portal (r = -.254; p< 0.05; N = 320).Keywords: e-administration, e-portal, non-teaching staff, information systems, continuance intention, use of e-administration portals
Procedia PDF Downloads 1996473 Epidemiological, Clinical, Histopathological Profile and Management of Breast Cancer at Kinshasa University Clinics
Authors: Eddy K. Mukadi
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This work is a documentary and descriptive study devoted to the epidemiological, clinical, histopathological and therapeutic profile of breast cancer deals with the department of gynecology and obstetrics of the university clinics of Kinshasa during the period from 1 January 2014 to 31 December 2014. We have identified 56 cases of breast cancer. These cancers accounted for 45.2% of gynecological mammary cancers. The youngest in our series was 18 years old while the oldest was 74 years old; And the mean age of these patients was 43.4 years and mostly multiparous (35.7%). Brides (60.7%) and bachelors (26.8%) were the most affected by breast cancer. The reasons for consultation were dominated by nodules in the breast (48.2%) followed by pain (35.7%) and nipple discharge (14.3%). In 89.2% of the cases, it was the advanced clinical stage (stage 3 and 4) and the infiltrating ductal carcinoma was the most frequent histological type (75%) The malignant tumor was mainly in the left breast (55.3%), and chemotherapy with hormone therapy and patey was the most convenient treatment (42.8%), while patey mastectomy was performed in 12.5% of patients. Because of the high incidence of breast cancer identified in our study, some preventive measures must be taken into account to address this public health problem, including breast autopalpation once a month, Early detection system development of a national breast cancer policy and the implementation of a national breast cancer control program.Keywords: breast cancer, histopathological profile, epidemiological profile, Kinshasa
Procedia PDF Downloads 2176472 Development of pH Responsive Nanoparticles for Colon Targeted Drug Delivery System
Authors: V. Balamuralidhara
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The aim of the present work was to develop Paclitaxel loaded polyacrylamide grafted guar gum nanoparticles as pH responsive nanoparticle systems for targeting colon. The pH sensitive nanoparticles were prepared by modified ionotropic gelation technique. The prepared nanoparticles showed mean diameters in the range of 264±0.676 nm to 726±0.671nm, and a negative net charge 10.8 mV to 35.4mV. Fourier Transformed Infrared Spectroscopy (FT-IR) and Differential Scanning Calorimetry (DSC) studies suggested that there was no chemical interaction between drug and polymers. The encapsulation efficiency of the drug was found to be 40.92% to 48.14%. The suitability of the polyacrylamide grafted guar gum ERN’s for the release of Paclitaxel was studied by in vitro release at pH 1.2 and 7.4. It was observed that, there was no significant amount of drug release at gastric pH and 97.63% of drug release at pH 7.4 was obtained for optimized formulation F3 at the end of 12 hrs. In vivo drug targeting performance for the prepared optimized formulation (F3) and pure drug Paclitaxel was evaluated by HPLC. It was observed that the polyacrylamide grafted guar gum can be used to prepare nanoparticles for targeting the drug to the colon. The release performance was greatly affected by the materials used in ERN’s preparation, which allows maximum release at colon’s pH. It may be concluded that polyacrylamide grafted guar gum nanoparticles loaded with paclitaxel have desirable release responsive to specific pH. Hence it is a unique approach for colonic delivery of drug having appropriate site specificity and feasibility and controlled release of drug.Keywords: colon targeting, polyacrylamide grafted guar gum nanoparticles, paclitaxel, nanoparticles
Procedia PDF Downloads 3546471 Functional Beverage to Boosting Immune System in Elderly
Authors: Adineh Tajmousavilangerudi, Ali Zein Alabiden Tlais, Raffaella Di Cagno
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The SARS-Cov-2 pandemic has exposed our vulnerability to new illnesses and novel viruses that attack our immune systems, particularly in the elderly. The vaccine is being gradually introduced over the world, but new strains of the virus and COVID-19 will emerge and continue to cause illness. Aging is associated with significant changes in intestinal physiology, which increases the production of inflammatory products, alters the gut microbiota, and consequently establish inadequate immune response to minimize symptoms and disease development. In this context, older people who followed a Mediterranean-style diet, rich in polyphenols and dietary fiber, performed better physically and mentally (1,2). This demonstrates the importance of the human gut microbiome in transforming complex dietary macromolecules into the most biologically available and active nutrients, which in turn help to regulate metabolism and both intestinal and systemic immune function (3,4). The role of lactic acid fermentation is prominent also as a powerful tool for improving the nutritional quality of the human diet by releasing nutrients and boosting the complex bioactive compounds and vitamin content. the PhD project aims to design fermented and functional foods/beverages capable of modulating human immune function via the gut microbiome.Keywords: functional bevarage, fermented beverage, gut microbiota functionality, immun system
Procedia PDF Downloads 1126470 Noninvasive Brain-Machine Interface to Control Both Mecha TE Robotic Hands Using Emotiv EEG Neuroheadset
Authors: Adrienne Kline, Jaydip Desai
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Electroencephalogram (EEG) is a noninvasive technique that registers signals originating from the firing of neurons in the brain. The Emotiv EEG Neuroheadset is a consumer product comprised of 14 EEG channels and was used to record the reactions of the neurons within the brain to two forms of stimuli in 10 participants. These stimuli consisted of auditory and visual formats that provided directions of ‘right’ or ‘left.’ Participants were instructed to raise their right or left arm in accordance with the instruction given. A scenario in OpenViBE was generated to both stimulate the participants while recording their data. In OpenViBE, the Graz Motor BCI Stimulator algorithm was configured to govern the duration and number of visual stimuli. Utilizing EEGLAB under the cross platform MATLAB®, the electrodes most stimulated during the study were defined. Data outputs from EEGLAB were analyzed using IBM SPSS Statistics® Version 20. This aided in determining the electrodes to use in the development of a brain-machine interface (BMI) using real-time EEG signals from the Emotiv EEG Neuroheadset. Signal processing and feature extraction were accomplished via the Simulink® signal processing toolbox. An Arduino™ Duemilanove microcontroller was used to link the Emotiv EEG Neuroheadset and the right and left Mecha TE™ Hands.Keywords: brain-machine interface, EEGLAB, emotiv EEG neuroheadset, OpenViBE, simulink
Procedia PDF Downloads 5026469 Marketing and Business Intelligence and Their Impact on Products and Services Through Understanding Based on Experiential Knowledge of Customers in Telecommunications Companies
Authors: Ali R. Alshawawreh, Francisco Liébana-Cabanillas, Francisco J. Blanco-Encomienda
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Collaboration between marketing and business intelligence (BI) is crucial in today's ever-evolving business landscape. These two domains play pivotal roles in molding customers' experiential knowledge. Marketing insights offer valuable information regarding customer needs, preferences, and behaviors. Conversely, BI facilitates data-driven decision-making, leading to heightened operational efficiency, product quality, and customer satisfaction. Customer experiential knowledge (CEK) encompasses customers' implicit comprehension of consumption experiences influenced by diverse factors, including social and cultural influences. This study primarily focuses on telecommunications companies in Jordan, scrutinizing how experiential customer knowledge mediates the relationship between marketing intelligence and business intelligence. Drawing on theoretical frameworks such as the resource-based view (RBV) and service-dominant logic (SDL), the research aims to comprehend how organizations utilize their resources, particularly knowledge, to foster Evolution. Employing a quantitative research approach, the study collected and analyzed primary data to explore hypotheses. Structural equation modeling (SEM) facilitated by Smart PLS software evaluated the relationships between the constructs, followed by mediation analysis to assess the indirect associations in the model. The study findings offer insights into the intricate dynamics of organizational Creation, uncovering the interconnected relationships between business intelligence, customer experiential knowledge-based innovation (CEK-DI), marketing intelligence (MI), and product and service innovation (PSI), underscoring the pivotal role of advanced intelligence capabilities in developing innovative practices rooted in a profound understanding of customer experiences. Furthermore, the positive impact of BI on PSI reaffirms the significance of data-driven decision-making in shaping the innovation landscape. The significant impact of CEK-DI on PSI highlights the critical role of customer experiences in driving an organization. Companies that actively integrate customer insights into their opportunity creation processes are more likely to create offerings that match customer expectations, which drives higher levels of product and service sophistication. Additionally, the positive and significant impact of MI on CEK-DI underscores the critical role of market insights in shaping evolutionary strategies. While the relationship between MI and PSI is positive, the slightly weaker significance level indicates a subtle association, suggesting that while MI contributes to the development of ideas, In conclusion, the study emphasizes the fundamental role of intelligence capabilities, especially artificial intelligence, emphasizing the need for organizations to leverage market and customer intelligence to achieve effective and competitive innovation practices. Collaborative efforts between marketing and business intelligence serve as pivotal drivers of development, influencing customer experiential knowledge and shaping organizational strategies and practices. Future research could adopt longitudinal designs and gather data from various sectors to offer broader insights. Additionally, the study focuses on the effects of marketing intelligence, business intelligence, customer experiential knowledge, and innovation, but other unexamined variables may also influence innovation processes. Future studies could investigate additional factors, mediators, or moderators, including the role of emerging technologies like AI and machine learning in driving innovation.Keywords: marketing intelligence, business intelligence, product, customer experiential knowledge-driven innovation
Procedia PDF Downloads 356468 Construction of QSAR Models to Predict Potency on a Series of substituted Imidazole Derivatives as Anti-fungal Agents
Authors: Sara El Mansouria Beghdadi
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Quantitative structure–activity relationship (QSAR) modelling is one of the main computer tools used in medicinal chemistry. Over the past two decades, the incidence of fungal infections has increased due to the development of resistance. In this study, the QSAR was performed on a series of esters of 2-carboxamido-3-(1H-imidazole-1-yl) propanoic acid derivatives. These compounds have showed moderate and very good antifungal activity. The multiple linear regression (MLR) was used to generate the linear 2d-QSAR models. The dataset consists of 115 compounds with their antifungal activity (log MIC) against «Candida albicans» (ATCC SC5314). Descriptors were calculated, and different models were generated using Chemoffice, Avogadro, GaussView software. The selected model was validated. The study suggests that the increase in lipophilicity and the reduction in the electronic character of the substituent in R1, as well as the reduction in the steric hindrance of the substituent in R2 and its aromatic character, supporting the potentiation of the antifungal effect. The results of QSAR could help scientists to propose new compounds with higher antifungal activities intended for immunocompromised patients susceptible to multi-resistant nosocomial infections.Keywords: quantitative structure–activity relationship, imidazole, antifungal, candida albicans (ATCC SC5314)
Procedia PDF Downloads 866467 Potential Activities of Human Endogenous Retroviral kDNA in Melanoma Pathogenesis and HIV-1 Infection
Authors: Jianli Dong, Fangling Xu, Gengming Huang
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Human endogenous retroviral elements (HERVs) comprise approximately 8% of the human genome. They are thought to be germline-integrated genetic remnants of retroviral infections. Although HERV sequences are highly defective, some, especially the K type (HERV-K), have been shown to be expressed and may have biological activities in the pathogenesis of cancer, chronic inflammation and autoimmune diseases. We found that HERV-K GAG and ENV proteins were strongly expressed in pleomorphic melanoma cells. We also detected a critical role of HERV-K ENV in mediating intercellular fusion and colony formation of melanoma cells. Interestingly, we found that levels of HERV-K GAG and ENV expression correlated with the activation of ERK and loss of p16INK4A in melanoma cells, and inhibition of MEK or CDK4, especially in combination, reduced HERV-K expression in melanoma cells. We also performed a reverse transcription-polymerase chain reaction (RT-PCR) assay using DNase I digestion to remove “contaminating” HERV-K genomic DNA and examined HERV-K RNA expression in plasma samples from HIV-1 infected individuals. We found a covariation between HERV-K RNA expression and CD4 cell counts in HIV-1 positive samples. Although a causal link between HERV-K activation and melanoma development, and between HERV-K activation, HIV-1 infection and CD4 cell count have yet to be determined, existing data support the further research efforts in HERV-K.Keywords: CD4 cell, HERV-K, HIV-1, melanoma
Procedia PDF Downloads 2326466 Protection of a Doctor’s Reputation Against the Unjustified Medical Malpractice Allegations
Authors: Anna Wszołek
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For a very long time, the doctor-patient relationship had a paternalistic character. The events of the II World War, as well as fast development of the biotechnology and medicine caused an important change in that relationship. Human beings and their dignity were put in the centre of philosophical and legal debate. The increasing frequency of clinical trials led to the emergence of bioethics, which dealt with the topic of the possibilities and boundaries of such research in relation to individual’s autonomy. Thus, there was a transformation from a paternalistic relationship to a more collaborative one in which the patient has more room for self-determination. Today, patients are more and more aware of their rights and the obligations placed on doctors and the health care system, which is linked to an increase in medical malpractice claims. Unfortunately, these claims are not always justified. There is a strong concentration around the topic of patient’s good, however, at the other side there are doctors who feel, on the example of Poland, they might be easily accused and sued for medical malpractice even though they fulfilled their duties. Such situation may have a negative impact on the quality of health care services and patient’s interests. This research is going to present doctor’s perspective on the topic of medical malpractice allegations. It is supposed to show possible damage to a doctor’s reputation caused by frivolous and weakly justified medical malpractice accusations, as well as means to protect this reputation.Keywords: doctor's reputation, medical malpractice, personal rights, unjustified allegations
Procedia PDF Downloads 926465 Application of Groundwater Model for Optimization of Denitrification Strategies to Minimize Public Health Risk
Authors: Mukesh A. Modi
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High-nitrate concentration in groundwater of unconfined aquifers has been a serious issue for public health risk at a global scale. Various anthropogenic activities in agricultural land and urban land of alluvial soil have been observed to be responsible for the increment of nitrate in groundwater. The present study was designed to identify suitable denitrification strategies to minimize the effects of high nitrate in groundwater near the Mahi River of Vadodara block, Gujarat. There were 11 wells of Jal Jeevan Mission, Ministry of Jal Shakti, along with 3 observation wells of Gujarat Water Resources Development Corporation have been used for the duration of 21 years. MODFLOW and MT3DMS codes have been used to simulate solute transport phenomena along with attempted effectively for optimization. Current research is one step ahead by optimizing various denitrification strategies with the simulation of the model. The in-situ and ex-situ denitrification strategies viz. NAS (No Action Scenario), CAS (Crop Alternation Scenario), PS (Phytoremediation Scenario), and CAS + PS (Crop Alternation Scenario + Phytoremediation Scenario) have been selected for the optimization. The groundwater model simulates the most suitable denitrification strategy considering the hydrogeological characteristics at the targeted well.Keywords: groundwater, high nitrate, MODFLOW, MT3DMS, optimization, denitrification strategy
Procedia PDF Downloads 336464 Parents' Attitude toward Compulsory Pre-School Education in Slovakia
Authors: Sona Lorencova, Beata Hornickova
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Compulsory pre-school education in Slovakia will be established by the Education Act for all five-year-old children from September 2021. The implementation of this law will change pre-school education in our country from optional to compulsory, and children will be able to complete this education either in institutional form school facilities or in the form of individual education at the request of the parent. The primary purpose of this change is that all children achieve pre-school education before entering primary school, thus eliminating differences between children before entering primary school. The benefits of introducing compulsory pre-school education are obvious to the professional public. However, as this fundamental change in children's education is perceived by parents who have a prime position in the upbringing and education of their children, research pays minimal attention. The aim of the study is to interpret the findings of quantitatively oriented research, which was focused on finding out the attitudes of parents to the planned introduction of compulsory preschool education in Slovakia. The data were obtained through questionnaires primarily intended for parents of preschool children. In the distributed questionnaire, the degree of agreement or disagreement with individual items could be expressed on a 5-point Likert scale. The results of the research present how perceived compulsory pre-school education is perceived by the parental public in Slovakia and what perspectives and limitations parents anticipate after its introduction.Keywords: compulsory pre-school education, education act, childs' learning and development, kindergarten, parents' perspectives
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