79 research outputs found
Corrigendum to “Exploring Preschool Teachers' Pedagogical Content Knowledge: The Effect of Professional Experience” [Journal of Science Learning 4(2) (2021) 160-172]
No full textThe authors regret that The co-author Semanur Nacar is not included in the author list. Please add the name as co-author of this paper since this manuscript contained data collected with my graduate student (Semanur Nacar). In the original manuscript, the author name is Ali Yigit Kutluca. In the corrected version, the authors contain Ali Yigit Kutluca, Semanur Nacar. The authors would like to apologize for any inconvenience caused. This manuscript was produced from the second author's master's thesis "Examination of pedagogical content knowledge towards science teaching of preschool teachers continuing master's education"
An investigation of localised surface plasmon resonance (LSPR) of Ag nanoparticles produced by pulsed laser deposition (PLD) technique
No full text32nd International Physics Congress of Turkish-Physical-Society (TPS) -- SEP 06-09, 2016 -- Bodrum, TURKEYNoble metal nano-structures such as Ag, Cu, Au are used commonly to increase power conversion efficiency of the solar cell by using their surface plasmons. The plasmonic metal nanoparticles of Ag among others that have strong LSPR in near-UV range. They increase photon absorbance via embedding in the active semiconductor of the solar cell. Thin films of Ag are grown in the desired particle size and interparticle distance easily and at low cost by PLD technique. Ag nanoparticle thin films were grown on micro slide glass at 25-36 mJ laser pulse energies under by PLD using nsNd:YAG laser. The result of this work have been presented by carrying out UV-VIS and AFM analysis. It was concluded that a laser energy increases, the density and size of Ag-NPs arriving on the substrate increases, and the interparticle distance was decreases. Therefore, LSPR wavelength shifts towards to longer wavelength region.Turkish Phys SocScientific and Technical Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [1649B031503748]; Scientific Research Projects Coordination Unit of Selcuk UniversitySelcuk University [15201070, 15301020]This work was supported by the; Scientific and Technical Research Council of Turkey (TUBITAK) under Grant No. 1649B031503748 and Scientific Research Projects Coordination Unit of Selcuk University, Project No. 15201070 and 15301020. The data presented in this work will be as a part of Ph.D. thesis of Serap YIGIT GEZGI
The role of covariates on inferring the Q-matrix and learning trajectory
No full textSubmission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-12-01The student, Hulya Duygu Yigit, accepted the attached license on 2021-10-06 at 20:00.The student, Hulya Duygu Yigit, submitted this Dissertation for approval on 2021-10-07 at 09:40.This Dissertation was approved for publication on 2021-10-11 at 08:56.DSpace SAF Submission Ingestion Package generated from Vireo submission #17152 on 2022-04-29 at 16:09:05Made available in DSpace on 2022-04-29T21:58:16Z (GMT). No. of bitstreams: 2
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Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemAuthor requested closed access (OA after 2yrs) in Vireo ETD systemLimited"Chapter 2: In learning environments, understanding the longitudinal path of learning is one of the main goals. Cognitive diagnostic models (CDMs) for measurement combined with a transition model for mastery may be beneficial for providing fine-grained information about students’ knowledge profiles over time. An efficient algorithm to estimate model parameters would augment the practicality of this combination. In this study, the Expectation-Maximization (EM) algorithm is presented for the estimation of student learning trajectories with the GDINA (generalized deterministic inputs, noisy, “and” gate) and some of its submodels for the measurement component, and a first-order Markov model for learning transitions are implemented. A simulation study is conducted to investigate the efficiency of the algorithm in estimation accuracy of student and model parameters under several factors—sample size, number of attributes, number of time points in a test, and complexity of the measurement model. Attribute- and vector-level agreement rates as well as the root mean square error rates of the model parameters are investigated. In addition, the computer run times for converging are recorded. The result shows that for a majority of the conditions, the accuracy rates of the parameters are quite promising in conjunction with relatively short computation times. Only for the conditions with relatively low sample sizes and high numbers of attributes, the computation time increases with a reduction parameter recovery rate. An application using spatial reasoning data is given. Based on the Bayesian information criterion (BIC), the model fit analysis shows that the DINA (deterministic inputs, noisy, “and” gate) model is preferable to the GDINA with these data.
Chapter 3: The rise of online learning platforms requires new approaches for developing formative assessments that provide accurate, fine-grained information on student learning profiles. Restricted latent classification models (RLCMs) serve a central role in the development and implementation of formative assessments. The latent structure for RLCMs is defined by the Q matrix, which is a binary matrix that specifies the relationship between underlying attributes and observed responses. Recent research developed fully exploratory approaches for inferring the RLCM Q matrix. Although exploratory methods exist for uncovering the latent structure educational researchers are also interested in understanding the role of intervention effects and student covariates on item performance and skill mastery. Consequently, the purpose of our project is to extend the exploratory RLCM framework to jointly uncover the latent structure and assess the role of student covariates on item performance and attribute mastery. We consider a general modeling framework for including covariates and consider two special cases which correspond to different research settings. Our models provide researchers with tools for evaluating intervention effects aimed at enhancing learning outcomes and documenting the extent to which the relationship between the latent structure and responses is invariant to student background characteristics. We develop a new Bayesian formulation to estimate model parameters and report Monte Carlo evidence pertaining to accurate recovery of Q and other model parameters. We apply the methods to a dataset including 516 students' performance on a spatial rotation test (Culpepper & Balamuta, 2017). In addition, including covariates also benefits us by providing insights about the relationships between the covariates and the item success and attribute mastery probabilities.
Chapter 4: In educational environments and online learning platforms, formative assessments can yield valuable information about students' knowledge profiles. Knowing which attribute a student has been mastered versus has not been yet will help educators provide well-targeted instructions. In this respect, exploratory restricted latent class models have significantly been used to estimate students learning profiles from their response patterns. Although students' response patterns are the primary source for estimating students' item performance and skill mastery profiles, students' covariates may also provide beneficial information in the process. However, one main challenge is to decide which covariates to include in the model when many covariates are available. Thus, this chapter applies a ""spike-slab"" variable selection algorithm on covariates in an exploratory RCLM, which simultaneously estimates a mapping between items and the attributes. We develop a Bayesian formulation to estimate model parameters while imposing a variable selection algorithm on covariates. We report Monte Carlo evidence pertaining to accurate recovery of Q and other model parameters while correctly identifying the active covariates from inactive ones.
Springback/Springforward Behaviour of DP Steels Used in the Automotive Industry
No full textThe springback/springforward behaviour in a V-die/punch of DP600 and DP780 steels used in the automotive industry was investigated. For this study, experiments were carried out by using different combinations of parameters, including material thickness, die/punch radius, bending angle and rolling direction and the resulting measurements showed that the DP780 steel consistently exhibited greater springback values than the DP600. Augmentation of the rolling direction at an angle from 0° to 90° and punch radius inhibited springback formation and hastened springforward, particularly for small bending angles. The springback angle decreased with increasing material thickness and curvature radius, and increased with the bending angle, particularly for the punch tip radius of 2 mm. Increasing the ratio of curvature radius to material thickness (rt−1) also caused the springback to decline. In addition, a new dimensionless parameter was developed and the critical value for calculating the transition from springback to springforward was determined
Growth and Immigration Scenarios for Turkey and the EU. EU-Turkey Working Papers No. 13, 1 December 2004
No full textIn the debate about Turkish EU membership and free movement of labour it is often overlooked that the EU cannot exercise a zero migration policy even if permanent safeguards were used. Even under the currently prevailing strict regime, there is an annual net migration from Turkey to the EU-15 in the order of 35,000 people. Any slowdown or suspension in Turkey’s accession process is likely to lead lower growth and higher unemployment in Turkey. Moreover, the reform process might slow down or be partially reversed. The consequence of such a combination would be drastically higher number of potential migrants. A considerable proportion of them would be finding their way into the EU – as experience has shown irrespective of legal restriction. It is thus possible that if Turkey loses the membership perspective, the EU may end up having more immigrants than under a free movement of labour regime with a prosperous EU member Turkey. Moreover, the composition of this migration would be less conducive for the EU labour markets - and - for integration in the host societies. The experiences of Greece, Portugal and Spain indicate that a successful accession period with high growth and effective implementation of the reforms reduces and gradually eliminates the migration pressures. There is no a priori reason why Turkey would not go through a similar experience
REAL ESTATE DEVELOPMENT PROCESSES AND ITS FINANCIAL REFLECTION ON THE HOUSING MARKET
No full textAbstract: Real estate property is defined as a land and everything which built on land. People began to desire better living, working, resting places, as the result of changes of live standards. These needs had begun with living areas, after that real estate is presented in different types to meet people’s needs.
Real estate development, consist of a lot of activities which are interested in land development and building construction. Real estate development is a multifaceted business. This complicated process involves much input from a wide range of professionals. Real estate development process because of being complicated, demands an extensive investment analysis.
In this study, a research was conducted on how real estate development processes affect the housing market. The research phase started with the determination of existing conditions. At this stage, market conditions, economic conditions, social acceptances, good and constraining aspects of the land, and regulatory factors were investigated. During the analysis phase, the opportunities offered by the land, its constraints and costs were analyzed. In the synthesis phase, all the results were brought together to create a functional plan. The synthesis process ensures that unworkable ideas are eliminated and an original idea is created. All models were created because the real estate development process has a complex structure and carries with it major risk factors. Risks in business, management, financing, politics, inflation, liquidity and interest rates are seen as risks of great importance in the real estate process.
Keywords: Real estate, construction, residential buildings, housing market, finance.
Title: REAL ESTATE DEVELOPMENT PROCESSES AND ITS FINANCIAL REFLECTION ON THE HOUSING MARKET
Author: Dr. Pelin YIGIT
International Journal of Recent Research in Civil and Mechanical Engineering (IJRRCME)
ISSN 2393-8471
Vol. 10, Issue 1, April 2023 - September 2023
Page No: 21-37
Paper Publications
Website: www.paperpublications.org
Published date: 20-September-2023
DOI: https://doi.org/10.5281/zenodo.8362178
Paper Download Link (Source)
https://www.paperpublications.org/upload/book/REAL%20ESTATE%20DEVELOPMENT%20PROCESSES-20092023-1.pdfInternational Journal of Recent Research in Civil and Mechanical Engineering (IJRRCME), ISSN 2393-8471, Paper Publications, Website: www.paperpublications.or
Field of study and occupational mismatch : how has employment been affected by computerization in Canada?
No full text1 online resource (25 p.) : coloured illustrationsIncludes abstract.Includes bibliographical references (p. 25).Nowadays, technology is a necessity for people because it serves a variety of functions in the modern society and has improved significantly the living standards compared to what they were 100 years ago. Although a lot of people obsess about how these amazing advanced technologies can easily handle logistic tasks and make their life easier and better, there are still a lot of researchers and experts who have critiqued the existence of emerging technology. They insist that machine learning technology is not as good as it appears because computerization and digitalization stand a good chance of replacing the human capital and thus a great amount of occupations will face different degrees of computerization risk. In this paper, data sources from Statistic Canada Public Use Microdata File were gathered and the dataset used for analysis is the 2011 National Household Survey. In addition, the author reviewed a large number of articles that mentioned the impact of computerization and how machine learning would displace occupations and further accelerate the mismatch between field of study and occupations. This study examined Frey and Osborne’s (2013) study and categorize occupations into three degrees of computerization risk, which are low, medium and high and it also uncovers how machine learning assuredly increase the mismatch rate for the field of study in relation to the medium risk occupations. The purpose of this paper is to estimate how automation and computerization can destroy a large number of occupations and force the workers into irrelevant areas
Determinants of continued breastfeeding beyond 12 months in Turkey: secondary data analysis of the Demographic and Health Survey
No full textContinued breastfeeding at year 1 is one of the core indicators for assessing global infant and young child feeding practices. The study aims to determine the frequency of breastfeeding after 12 months (long-term breastfeeding) according to a number of infant and maternal characteristics and to investigate the effects of long-term breastfeeding on the nutritional habits and growth status of children as seen in the national data. The sample included 1666 children aged 12 to 35 months from the 2003 Turkey Demographic and Health Survey. Only 55.9% of children were breastfed beyond 12 months. The rates of long-term breastfeeding were higher in the presence of the following characteristics: high birth order, long preceding birth interval, religious marriage ceremony, usage of traditional contraceptive methods, mothers aged 30-34 years and overweight mothers. Rates were lower for mothers with tobacco exposure and for bottle-fed infants. Long-term breastfeeding did not affect the consumption of plain yogurt, solid foods and semi-solid foods; however, it was associated with a decreased intake of bottled milk and fruit juice. The rates of long-term breastfeeding were similar in the case of undernourished children and of those with normal growth status. Long-term breastfeeding was related to certain maternal and infant characteristics; however, it did not affect the consumption of complementary food. Breastfeeding promotion programs should include targeted interventions for younger, primiparous and smoking mothers
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