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This study adopts a holistic single-case design to explain the task design processes of mathematics student teachers (MSTs) regarding History, Theory, Technology, and Modeling (HTTM). A criterion sampling method was used to select nine MSTs who had successfully completed "algorithms and programming" course. Video analyses, written answer sheets, scratch papers, and GeoGebra files were used to obtain data, including the views of MSTs on HTTM task design. Data analysis was performed using a content analysis method based on the theoretical framework of HTTM learning. The results revealed that HTTM design processes included task, focus/origin, problem, design (prototype), results, and approved reports. Furthermore, the mental steps that connected these basic components were found to be investigating, exploring, designing, evaluating, revising, and reporting. One of the key challenges experienced by the MSTs was found to be spending a great amount of time especially while determining a focus. The study has been finalised with a set of suggestions for future designs.

The research presented in this article is a systematic review of the literature on the assessment of mathematical modeling in the setting of mathematics education published in the previous five years. This research has compiled the current best information from around the world to offer an overview of the assessment of mathematical modeling for pre-service mathematics teachers or mathematics teachers. We followed the approach used in Joklitschke et al. (2021), which involved 10 steps in systematic literature review (SLR). We accessed using Web of Science (WoS), Scopus, and mathematics education journals that are ranked 1-10. Based on a full-text analysis of 18 peer-reviewed papers published in English, most of the research was conducted among pre-service mathematics teacher and most of the studies were conducted in Turkey, United States, and Germany. The future trends and opportunities were also discussed. We also found that most test types employed for measuring modeling competency were project, cognitive dimension, holistic approach, and the tests utilized more qualitative approach.

In this study, the effects of redesigned modeling activities on the academic achievement of 7th grade students and the student's view about these activities were investigated. We use explanatory sequential mixed method design that is one of the mixed research methodology for this investigation. The quantitative part of this research established according to semi-experimental study with pre-posttest, and qualitative part of this study execute with the case study. Quantitative data were collected with multiple choice academic achievement tests, and qualitative data were collected with study papers, observation forms, forms of student's view, and semi-structured interviews at the end of all activities. The quantitative data were analyzed with covariance analysis. Qualitative data were analyzed with content analysis. As a result, a statistically significant difference was found in favor of the experimental group on the academic achievement which influenced by modeling activities. This difference has been influenced by the presentation of the learning environment in which the students' attitudes and beliefs towards themselves and the lessons will be positively affected, and mathematical skills will be supported to increase success.

The purpose of this paper is to integrate mathematical modeling and ecology by presenting an activity involving an authentic environmental problem, which is called "Pine Processionary Caterpillars Invasion." Adopting Mathematical Modeling and Education for Climate Action (EfCA) approaches, it was aimed to encourage pre-service teachers (PSTs) to use the power of mathematical modeling processes to make inferences from data and evidence and make informed decisions by producing action plans to solve an ecological problem caused by climate change. The study was conducted with eight pre-service mathematics teachers and eight pre-service science teachers in a public university in Turkey. All PSTs worked as groups so that their mastery and thinking styles enriched each other. At the end of the activity, we noticed that some of the pre-service teachers confronted difficulties such as coming up with a working mathematical model, collecting real-world data from the pine forests, and efficiently computing steps of mathematical modeling without any errors. However, pre-service teachers could make use of the views of their working partners having different disciplines and appreciated the usefulness of mathematical modeling to solve an ecological problem. They also realized the interconnectedness of species and developed empathy for the welfare of society and nature.

This study considers probability models as tools for both making informal statistical inferences and building stronger conceptual connections between data and chance topics in teaching statistics. In this paper, we aim to explore pre-service mathematics teachers' use of probability models for a chance game, where the sum of two dice matters in winning the game. We report on an interview with a group of three pre-service teachers as they engaged in predicting and conducting experiments and computer simulations as an attempt to develop a winning strategy. This paper focuses on how the participants came to use the theoretical model of the sum of two dice as they tried to coordinate the combinatorial analysis and the use of data as evidence in their predictions.

The present study aimed to investigate the effects of geometry instruction activities conducted in nature based on modeling, game-based, and cooperative learning methods on achievement, mathematical motivation, and visual mathematical literacy perceptions of third-grade elementary school students. The present study is a quantitative study conducted with a pre-test/post-test experimental design with a control group. The study was conducted with 61 students (35 students in the experimental group and 26 students in the control group). Modeling-, game-, and collaborative learning-based activities were conducted with the students in the experimental group. It was determined that the achievements of students who were instructed with modeling-based activities in geometry were high when compared to that of the students instructed with collaborative learning- and game-based methods, and those in the control group where no intervention was applied. This group was followed by the game-based and collaborative learning groups. Based on the variable of motivation, the mean motivation of the students in the modeling group was higher when compared to that of the students in the collaborative learning, game-based, and conventional instruction groups. This group was followed by the collaborative and game-based learning groups. Also, based on the visual mathematical literacy perception variable, the mean visual mathematics literacy perception of the students in the collaborative learning group was higher when compared to that of the students in the groups where the modeling, game-based, and conventional instruction methods were used. This group was followed by the modeling and game-based learning groups. [The research in this article was presented at the International Social Sciences and Education Conference, November 14-17, 2018, in Diyarbakir, Turkey.]

The purpose of the study is to reveal the elementary mathematics student teachers' difficulties encountered in the solution of a modelling problem, the strategies to overcome those difficulties and whether the strategies worked or not. Nineteen student teachers solved the modelling problem in their four or five-person groups, and the video records of their solution processes and their solution papers were examined. They had difficulties in simplifying, mathematizing, interpreting and validating and developed different overcoming strategies such as using the figure in the problem, real life experiences, utilizing a real object, answering the researcher, group discussion, sketching, reading the task back, considering calculation simplicity and some others peculiar to the problem. When they could overcome the strategies in simplifying and mathematizing, they could not be successful in tackling with those in interpreting and validating.

The effect of simulation-based probability teaching on the prospective teachers' inference skills has been examined with this research. In line with this purpose, it has been aimed to examine the design, implementation and efficiency of a learning environment for experimental probability. Activities were built on modeling, simulation and the expansion of the basic inference logic suggested by Cobb [4]. The quasi-experimental research method was used in the study. The study was conducted with 55 prospective teachers who attended the statistics classes in Bülent Ecevit University, Faculty of Education. A test with 5 open-end questions was developed with regard to the experimental probability in order to assess the efficiency of the designed learning environment in the study, and it was applied as pre- and posttests. The obtained data were supported by semi-structured interviews and observations. The efficiency of the simulation-based learning was determined through the comparison of the answers given by prospective teachers using papers and pencils and the answers given by means of simulations. The findings showed that simulation-based probability teaching increased the prediction and related inference skills of the prospective teachers and generally influenced the success of the students in a positive way.

Implementation of emerging technology in sub disciplines of mathematics education provides a potential for educators to elaborate the capacity of digitized learning for human being. Spatial thinking is considered as a factor of scientific deduction from a multi disciplinary point of view. This paper reports a study aimed at exploring the effect of a 3D Modeling program on the spatial ability of the 8th grade students through an experimental research design. The study also focuses on the relation between the gender difference and spatial thinking. The study population was consisted of 82 8th grade students and divided into the control group (n=40) and the treatment group (n=42). The data in the study were collected through a qualitative research method. According to the findings of the research, the success rate of post test increased after the application in terms of differential aptitude, mental rotation and spatial visualization. On the other hand, irrespective of the relevant literature, female pupils were observed as better performers comparing to the males on post application of the measurement instruments. (Contains 2 tables.)

Purpose: Building on social exchange and leader-member exchange theories, this paper aims to propose a model of the impact of coronavirus-induced anxiety on health-care professionals' burnout and turnover intention through the mediation role of servant leadership. Design/methodology/approach: This model was examined by adopting partial least square-based structural equation modeling using data collected from 271 health professionals (doctors, nurses, midwives and analysts) from Turkey. Findings: The findings of the research illustrate that coronavirus-induced anxiety is positively associated with burnout and turnover intention. Furthermore, servant leadership mediates the relationship between coronavirus-induced anxiety, burnout and turnover intention. Yet, according to factor loadings, the mediating role of servant leadership is not strong (β : 0.035 and 0.053, respectively). Research limitations/implications: First, this study targeted the health-care professionals from Turkey. Therefore, this population may not be able to provide general information on the topic. Thus, this study suggests that the subject be addressed in other populations as well. Second, the data were self-reported by the participants. Although common method bias and social desirability bias were not an issue in this study, it should be known that the results are based on the subjective judgments of the participants. Third, this study was limited to investigating the mediating role of servant leadership only. Practical implications: This study gives much beneficial information to both administrators and organizations by mirroring highly stressed workers' inside throughout statistically results. Hence, it is assumed that the findings will help leaders to cope with several difficult situations, especially in crisis moments. As the chaotic circumstances occurred, achieving organizational goals became more and more difficult. To do this, some leaders play critical roles for members like servant leaders by contributing uniquely spiritual dimensions. Social implications: Struggling with the COVID-19 pandemic has aggravated the health-care professionals' existing mental health and has loaded more agitation on them. According to Mozes (2021), suicide cases among nurses have doubled the number of women in the general population. Thus, leaders should do something to lower those ratios. This study points out that servant leaders could break down those unwanted issues by decreasing burnout and turnover intention rates of health workers. Barbuto and Wheeler (2006) highlighted this situation by creating a dimension called "The Natural Desire to Serve Others." Originality/value: To the best of the authors' knowledge, to date, this study is the first to examine the mediating role of servant leadership in the effect of coronavirus-induced anxiety on burnout and turnover intention. Furthermore, this research reveals that servant leadership may play a role in avoiding burnout and turnover intention in the health sector. [ABSTRACT FROM AUTHOR]

This paper investigates how prospective teachers develop mathematical models while they engage in modeling tasks. The study was conducted in an undergraduate elective course aiming to improve prospective teachers' mathematical modeling abilities, while enhancing their pedagogical knowledge for the integrating of modeling tasks into their future classroom practices. The participants of this study were six prospective teachers selected among the nineteen who enrolled in the course. Data was collected through five modeling tasks. The results showed that the prospective teachers went through five main stages during the modeling process: understanding the task, devising a solution plan, working out the plan, interpreting and verifying the model, and presenting the model. The nature of prospective teachers' modeling processes was rather result-oriented, consisting of a single cycle as they did not seek an improved solution by revising and refining their models.

Copyright of Journal of Multicultural Counseling & Development is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This cross-sectional study identifies key conceptual difficulties experienced by upper secondary school and pre-service chemistry teachers (N = 191) in the area of reaction rates. Students' ideas about reaction rates were elicited through a series of written tasks and individual interviews. In this paper, students' ideas related to reaction rate and its relationship with concentration or pressure are discussed. Evidence is presented to support the following claims. First, school students tended to use "macroscopic" modelling rather than using "particulate" and/or "mathematical" modelling. By contrast, undergraduates were more likely to provide explanations based upon theoretical models and entities within established chemical ideas. Nevertheless, second, they had conceptual difficulties in making transformation within and across different theoretical models. Finally, students did not generally use a scientifically acceptable concept of reaction rate across contexts. Although an acceptable concept may have been used in one context, incorrect ideas may, nonetheless, have been used in other contexts. However, undergraduates' responses were less affected by context. Several conceptual difficulties exhibited by school students persisted among undergraduates. Some possible implications for planning the curriculum and teaching are proposed in the light of the results. (Contains 3 tables and 3 figures.)

In Turkey, mathematical courses as part of architectural curricula generally have a standard faculty or university curriculum, which results in a gap between the two fields. However, it is impossible to separate mathematics from architecture. This paper presents a Geometry of Design course, a specialized mathematical course for architectural students to integrate the two fields. It commences by giving an insight into the current situation in architectural departments in Turkey, then focuses on the structure and outline of the new course where each topic is discussed with selected literature and student works. Finally, this paper discusses the future possibilities and limitations of these types of specialized mathematics courses. [ABSTRACT FROM AUTHOR]

In this paper, the unknown parameters of a SEIRS mathematical model for the dynamics of COVID-19 are estimated by the least squares approach using data of Trkiye. In the considered model, the infective group is divided into two classes consisting of diagnosed and undiagnosed individuals. Since the data for undiagnosed infective individuals in the community is unknown, three different scenarios are proposed. The numerical solutions of the model using the estimated parameter values and the actual data are demonstrated with graphs. [ABSTRACT FROM AUTHOR]

Southeastern Turkey perished by the M w 7.8, Kahramanmaras earthquake on February 6, 2023, at 01:17 UT (04:17 LT). The Kahramanmaras-centered event, hit by the break of the East Anatolian Fault Line, is felt in Syria, Egypt, Lebanon, Iraq, and Cyprus on the border of Turkey. Together with Syria, it causes loss of lives and severe damage in 10 cities. This work is dedicated to the people of the region. The study discusses the causality of anomalies by conducting ionospheric anomaly research via the interpolated TEC map obtained from the CODE according to the coordinates of the epicenter of the earthquake (latitude, longitude). The TEC amplitudes are observed by evolving the time-domain TEC map into the frequency-domain with the Fourier transform. The peaks of the amplitudes allow preliminary information for the anomaly days. For the anomaly, the TEC (TECU) boundaries are drawn by the statistical specification. The TEC map outside these boundaries is marked as an anomaly. The causality of abnormalities is tried to be read through the triad of the geomagnetic storm(s) , solar activity , and the earthquake effect. One can find seven anomaly days in the paper. January 30, February 2, 3, 11, 15, 16, and 21 are the anomaly days. The essay probably detects the anomaly before 3 days related to the Southeastern earthquake. • Reads the causality of the earthquake in southeast Turkey (Mw 7.8), through the ionosphere-earth crust relationship. • Notices potential anomalies by presenting the time-domain TEC atlas in the frequency domain with Fourier spectral analysis. • Considering all possible TEC anomaly essentials detect the precursors of the earthquake 3 days before the event day. [ABSTRACT FROM AUTHOR]

Background: In the Netherlands, all women aged 30–60 years are invited to participate in the national cervical cancer screening programme, which is aimed at early detection and treatment of precancerous lesions. One fourth of the Dutch population has a migration background, with Turkish and Moroccan immigrants being the largest immigrant populations. Turkish‐ and Moroccan‐Dutch women show lower screening participation rates and a higher incidence of cervical cancer, compared to native Dutch women. Since current information materials are not tailored to these women's needs, we developed a short culturally sensitive educational video to facilitate informed decision‐making for cervical cancer screening among Turkish‐ and Moroccan‐Dutch women. This article describes the development process of this video and the lessons learned. Methods: Using the Entertainment–Education communication strategy, we collaborated with an interdisciplinary team of Turkish‐ and Moroccan‐Dutch women, researchers, public health experts, and creative media professionals. We developed the video following the different stages of the Media Mapping model: Orientation, Crystallization, Design/Production, Implementation, and Dissemination. Each stage is described in the paper. Results: The video was developed in Moroccan‐Arabic, ‐Berber and Turkish, and emphasized three main themes: (1) more certainty about having cervical (pre)cancer and the possibility to prevent treatment, surgery, or premature death, and because of this, being there for the children, (2) according to the Islam, a woman should take good care of her health, and (3) anxiety, shame, and privacy. Conclusions: A short culturally sensitive educational video, delivered as part of a larger intervention together with the current information brochure, was developed based on theory and grounded in the needs of Turkish‐ and Moroccan‐Dutch women. The value and effectiveness of this intervention to facilitate informed cervical cancer screening decisions are evaluated in a randomised controlled trial. Patient or Public Contribution: We collaborated with Turkish‐ and Moroccan‐Dutch women during the development process of a short culturally sensitive educational video. Turkish‐ and Moroccan‐Dutch women were also invited to watch the raw footage to verify whether the content and presentation matched their needs and requirements. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to integrate mathematical modeling and ecology by presenting an activity involving an authentic environmental problem, which is called "Pine Processionary Caterpillars Invasion." Adopting Mathematical Modeling and Education for Climate Action (EfCA) approaches, it was aimed to encourage pre-service teachers (PSTs) to use the power of mathematical modeling processes to make inferences from data and evidence and make informed decisions by producing action plans to solve an ecological problem caused by climate change. The study was conducted with eight pre-service mathematics teachers and eight pre-service science teachers in a public university in Turkey. All PSTs worked as groups so that their mastery and thinking styles enriched each other. At the end of the activity, we noticed that some of the pre-service teachers confronted difficulties such as coming up with a working mathematical model, collecting real-world data from the pine forests, and efficiently computing steps of mathematical modeling without any errors. However, pre-service teachers could make use of the views of their working partners having different disciplines and appreciated the usefulness of mathematical modeling to solve an ecological problem. They also realized the interconnectedness of species and developed empathy for the welfare of society and nature. [ABSTRACT FROM AUTHOR]

Purpose – Using data from Turkey, this paper seeks to investigate whether relative price changes can help to explain the Phillips Curve relationship between inflation and output. Design/methodology/approach – Building on work by Ball and Mankiw, the paper includes measures of the variance and skews of relative price adjustment in an otherwise standard model of the Phillips Curve. It employs a bounds-testing approach based on an ARDL model to establish long-run relationships. It then uses error correction models to analyze short-run dynamics. Findings – No evidence was found for a long-run relationship between inflation and output. However, a long-run relationship is in fact found, once the variance and skew of relative price changes are included as regressors. The error correction model implies plausible short-term dynamics in this case. Originality/value – This paper combines two distinct literatures, on the Phillips Curve and on the distribution of relative price changes, showing that insights from the latter can be essential in constructing coherent models of the Philips Curve. [ABSTRACT FROM AUTHOR]

Background: The COVID‐19 pandemic has spread quickly, e‐learning became compulsory and disseminated throughout the world. During the pandemic, smartphones are frequently used to access e‐learning content, but connecting to technological tools increased the risk of cyberloafing during e‐courses. Currently, there are a limited number of studies on how e‐learning will evolve under compulsory conditions. Objectives: This study aimed to investigate the relationship between emotion regulation, e‐learning readiness, technology usage status (TUS), in‐class smartphone cyberloafing, and smartphone addiction (SA) of the students during the pandemic. Methods: In total 1294 students participated in this study. A research model was tested by structural equation modelling. Results and Conclusion: The findings of this study indicated that there is a relationship between TUS and SA. Emotion regulation was related to SA. E‐learning readiness levels can help to explain cyberloafing. This study presents a conceptual model of the variables that affect cyberloafing in the context of the e‐learning environment. Lay Description: What is already known about this topic: During the COVID‐19 pandemic smartphones are used frequently for e‐learning.Students could be distracted by technological tools such as smartphone, tablet PC, and so forth during online classes, which might disrupt learning.Students who are problematic smartphone users and cyberloafer turn to their smartphones to deal with the problem of emotional dysregulation.Cyberloafing behaviours of students may affect their personal and academic development, which will affect their academic success accordingly. What this paper adds: Emotion regulation was related to smartphone addiction.E‐learning readiness levels explain in class smartphone cyberloafing. Implications for practice: Learning experiences that will improve emotion‐regulation skills might be designed.Decreasing in‐class cyberloafing (and smartphone addiction in general) might help students to focus on their learning activities and learning goals.Student‐centred learning methods to be used during e‐learning, therefore the necessity of active participation in the lesson, student interaction, open cameras, and the use of smartphones to support the lesson during e‐learning can change cyberloafing behaviour. [ABSTRACT FROM AUTHOR]

The stockpiling behaviors during the COVID‐19 pandemic emerged as an example for situations where cooperation is inhibited by lack of trust, media exposure, and increased anxiety. In this paper, I test the hypothesis that stockpiling results from social psychological factors that prevent psychological groupness and cooperation (e.g., low trust in governments and other citizens, high frequency of news exposure, high pandemic anxiety), rather than being an inherently selfish and uncontrollable panic behavior. Specifically, I hypothesized that lower levels of satisfaction with the governments' COVID‐19 policies, lower trust in people in following physical distancing rules, and more frequent media exposure would predict higher stockpiling behaviors through increased pandemic‐related anxiety. In a cross‐sectional survey study conducted in Turkey and the UK during the first‐wave of the pandemic (N = 5137), I tested a conceptual model via SEM. Findings showed that lower trust in people, lower satisfaction with governments' COVID‐19 policies, and high exposure to news predicted higher pandemic related anxiety which predicted higher stockpiling in both countries. I discussed that governments policies and media in both countries may be the reason for mass stockpiling behaviors by decreasing predictability and trust. [ABSTRACT FROM AUTHOR]

Since mathematical models play a key role in investigating the dynamics of infectious diseases, many mathematical models for these diseases are developed. In this paper, it is aimed to determine the dynamics of Tuberculosis (TB) in Turkey, how much it will affect the future and the impact of vaccine therapy on the disease. For this purpose, three mathematical models (SIR, SEIR and BSEIR) in the literature are considered for the case of Turkey. The model parameters are obtained with TB reported data from 2005 to 2015 by using the least square method. The obtained results revealed that the basic reproduction ratio for all three models is less than 1. Moreover, the stability analysis of the models and sensitivity analysis of the model parameters are presented and discussed. Finally, the accuracy of results for all three models is compared and the effect of the vaccination rate is discussed. [ABSTRACT FROM AUTHOR]

The article shares the author's insights on a paper that relates several relevant statistical contexts in Turkey. The author said that the paper compares efficacy instead of efficiency under some modeling assumptions. Descriptive multivariate statistical techniques still provide plenty of opportunities on data analysis. The author considered the use of probability plotting methods as a reliable marker for those with strong data analysis interests and skills.

A comprehensive study about the spread of COVID-19 cases in Turkey and South Africa has been presented in this paper. An exhaustive statistical analysis was performed using data collected from Turkey and South Africa within the period of 11 March 2020 to 3 May 2020 and 05 March and 3 of May, respectively. It was observed that in the case of Turkey, a negative Spearman correlation for the number of infected class and a positive Spearman correlation for both the number of deaths and recoveries were obtained. This implied that the daily infections could decrease, while the daily deaths and number of recovered people could increase under current conditions. In the case of South Africa, a negative Spearman correlation for both daily deaths and daily infected people were obtained, indicating that these numbers may decrease if the current conditions are maintained. The utilization of a statistical technique predicted the daily number of infected, recovered, and dead people for each country; and three results were obtained for Turkey, namely an upper boundary, a prediction from current situation and lower boundary. The histograms of the daily number of newly infected, recovered and death showed a sign of lognormal and normal distribution, which is presented using the Bell curving method parameters estimation. A new mathematical model COVID-19 comprised of nine classes was suggested; of which a formula of the reproductive number, well-poseness of the solutions and the stability analysis were presented in detail. The suggested model was further extended to the scope of nonlocal operators for each case; whereby a numerical method was used to provide numerical solutions, and simulations were performed for different non-integer numbers. Additionally, sections devoted to control optimal and others dedicated to compare cases between Turkey and South Africa with the aim to comprehend why there are less numbers of deaths and infected people in South Africa than Turkey were presented in detail. [ABSTRACT FROM AUTHOR]

Resilient modulus is an important design parameter for highway pavement structures because it represents the structural strength of pavement layers. The resilient modulus depends on the factors such as applied stress, loading time, water content, dry density and gradation. This paper demonstrates the applicability of regression methodology for estimating the (Mr) Resilient modulus of pavement layers using the results of dynamic triaxial tests. Aggregate samples were collected from several different quarries of central Anatolia. All of the aggregate sources were igneous rock (basalt, and trachy-basalt). Initial work content of triaxial tests to obtain the resilient modulus of cylindrical aggregate samples. Than new mathematical model proposed by using the results of dynamic triaxial tests. In the regression model; aggregate physical properties, aggregate mixture properties and loading factors (a total of 8 variables) which are used as input parameters and the resilient modulus of the aggregate mixture obtained as output. In order to compare the effectiveness of the new method, coefficients for the Uzan constitutive model were also determined for laboratory testing and were compared with the approach described in this paper. Performance parameters of R²:0.98 and Standard error: 10.51 was obtained from model prediction. These results are quite sufficient, and the regression model assumed the resilient response to be like a function by using the stated material parameters. So, this approach makes it possible to estimate the resilient modulus of the different aggregates samples in real-time. [ABSTRACT FROM AUTHOR]

Observations from recent earthquakes in Taiwan and Turkey have shown that current methodology to determine the liquefaction susceptibility of fine-grained soils is no longer sufficient to quantify seismic hazard, and that low plasticity fine-grained soils such as silts could also cause adverse effects on the performance of civil infrastructures. It is very important to understand the dynamic behavior of silt deposit because most of coastal areas, where there are many ongoing construction activities, consist mainly of silts, which might be vulnerable to earthquake loadings. This paper presents the experimental results of centrifuge tests on reconstituted specimen to investigate the dynamic response of normally consolidated deep silt deposit in Seattle area. The experimental sequence and preparation of the artificial silt deposit are described in detail. The recorded downhole accelerations are utilized to identify variation of shear modulus and damping ratio with shear strain amplitude via inverse analysis techniques applied to dense instrumentation arrays in a dynamic centrifuge model test. [ABSTRACT FROM AUTHOR]

This work presents a mathematical modelling based approach including many constraints encountered at Universities in Turkey. As in many other countries also in Turkey it appears that universities are too autonomous, and they have medley of individual requirements and constraints. This condition makes it very difficult to suggest a generalized model and a solution algorithm for university timetabling problem (UTP). In general, in this paper it is aimed to design compatible and flexible approach to generate timetable so as to meet all the requirements of Turkish universities. First, by reviewing the studies in which mathematical modelling approaches were used, comprehensive information about the subject has been presented. Then, proposed hierarchical mathematical modelling approach is described (HMMA). Since (UTP) is highly context-dependent the results of this study couldn't been compared to those of the studies which are published already. Proposed approach is tested 2015-2016 academic year winter term data of Atatürk University Engineering Faculty and obtained results are presented comparatively with results obtained from manual preparation in terms of seven objectives. [ABSTRACT FROM AUTHOR]

From the beginning of the e-learning technology era, many concerns arose regarding the use of e-learning in everyday academic processes. Thus, in recent years, a number of studies were conducted on e-learning acceptance, mostly with the use of Unified Theory of Acceptance and Use of Technology (UTAUT) Model. Current study investigates the determinants of acceptance of academic e-learning technologies with the use of proposed modified UTAUT model. The basic UTAUT model was supplemented by the examined new determinants: system interactivity and the area of scientific expertise. Therefore, the paper contributes to UTAUT theory, applied in e-learning, by utilising empirical research with a modified UTAUT model including these two new variables. This study confirmed the hypotheses related to the effects of performance expectancy, effort expectancy, and system interactivity on behavioural intention to use e-learning technologies, and also stated that the area of scientific expertise does not have a direct impact on the intention to use e-learning technologies. The research model has been tested in an academic environment in Turkey. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Financial Politic & Economic Reviews / Finans Politik & Ekonomik Yorumlar is the property of Journal of Financial Politic & Economic Reviews / Finans Politik & Ekomomik Yorumlar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Estimating the growth dynamics of a pandemic is critical for policy makers to fine-tune emergency policies in health and other public sectors. The paper presents country-level calibration and prediction results on some well-known models in the literature, namely, the logistic, exponential, Gompertz, SIR and SEIR models. The models are implemented on real data from various countries, including Turkey, and their performance for different estimation windows have been analyzed using R2 scores. The computational results are obtained using Python. The Gompertz model outperforms other models by consistently offering a better tit for the total number of infected. The exponential model is helpful in describing the growth dynamics in the early stages of the COVID-19 pandemic. Suspected-Infected-Recovered (SIR) and Susceptible-Exposed-Infectious-Removed (SEIR) models display a fair performance on the underlying active cases data in many circumstances. Quantitative models can offer policy makers in Turkey and elsewhere a better insight on the evolution of pandemic when everything else is held constant and the infections follow a typical path. The results can be highly sensitive to changes in policies. There is not a single model that can perfectly mimic all stages of pandemic. An ensemble model or multi-modal distributions can be used to capture the evolution of multi-wave pandemics. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study was to assess preschool children's hearingrelated quality of life and to introduce the scale, originally titled "Preschool Hearing Environments and Reflections on Quality of Life Questionnaire" (Preschool HEAR-QL), to the literature through Turkish adaption, validity, and reliability analyses. Method: Our study included 210 children aged 2--6 years: 110 with hearing loss (56 cochlear implant users and 54 hearing aid users) and 100 with normal hearing. Demographic data were collected and then the Preschool HEAR-QL, which was translated into Turkish, was administered twice at 15-day intervals. Confirmatory factor analysis was used to determine whether the factor structure found in the original scale development study was confirmed in our sample (construct validity). Cronbach's alpha, intraclass correlation scores, and the test--retest method were used to assess the scale's reliability as the findings were analyzed using paired samples t tests. Results: The children with hearing loss had lower scores than their normalhearing peers, and the difference was significant in the subdomains of behavior and attention, hearing environments, and communication. The subscale of the Preschool Period Listening Environments and their Reflections on Quality of Life Scale consists of 23 items, and Cronbach's alpha value was found as 0.922 in the first application and 0.926 in the second application (high reliability). In the model established for validity analysis, χ² /df = 2.156, root-mean-square error of approximation = 0.074, standard root-mean-square residual = 0.078, goodnessof- fit index = 0.830, adjusted goodness-of-fit index = 0.789, comparative fit index = 0.895, and Tucker--Lewis index = 0.881 (good model fit). In terms of test--retest reliability, the correlation between the two measurements was 0.837, and there was no statistical difference between the test--retest scores (p = .15). Conclusion: The Turkish version of the Preschool HEAR-QL scale was proven to be a valid and reliable scale for assessing the hearing-related quality of life of children aged 2-6 years. [ABSTRACT FROM AUTHOR]

Mathematical literacy is the ability to use mathematical knowledge in real-life situations, making it an essential component of education because of its importance in solving everyday problems. Mathematical literacy is also part of the Program for International Student Assessment (PISA) global assessment. Because of the importance of the subject, this Systematic Literature Review (SLR) investigated the relationship between students' mathematical literacy and their ability to solve mathematical problems. This SLR uses the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) approach was used, and articles published from January 2013 to August 2023 were obtained from databases including ERIC (342), ProQuest (1,329), and Scopus (27). Following PRISMA, a total of 20 articles were included in the review. Of the 20 articles, most were conducted on junior high school students in Turkey. The majority of reviewed studies found students to have a low level of mathematical literacy, which caused difficulties in formulating problems. The examined studies also revealed several internal and external factors affecting mathematical literacy. Problems used by PISA were the most frequently employed to measure students' mathematical literacy in the reviewed studies. [ABSTRACT FROM AUTHOR]

Multi-Attribute Utility Theory (MAUT) is an evaluation scheme which is very popular by decision makers for evaluating their judgments. According to MAUT, the overall evaluation U(x) of an object x is defined as a weighted addition of its evaluation with respect to its relevant value dimensions. The recent years have witnessed a huge concentration and interest in intelligent buildings’ performance that is increasingly evidenced in building design and construction. Intelligent buildings (IBs) are also under assessment according to their IB related characteristics and actual circumstances. For this aim, in this paper a fuzzy multiple attribute utility model for intelligent building assessment is proposed and three alternative intelligent buildings for a business center in Istanbul are evaluated. [ABSTRACT FROM PUBLISHER]

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We investigate by means of a 3-D geomechanical model the relationship between structural elements and contemporary kinematics in the Marmara Sea region, northwest Turkey. The recently imaged fault system beneath the Marmara Sea is incorporated into the model as frictional surfaces with varying strike and dip. The Main Marmara Fault is implemented as through-going and is accompanied by mostly non-vertical second-order faults. Topography, basement-topography and the Moho become mechanically effective through changes in density and elastic parameters across these horizons. The model is subjected to gravity and kinematic boundary conditions. The ultimate goal of this study is to set up a 3-D model that is consistent with both, kinematic observations and stress data. The stress results are presented in a complementary paper. In this paper we present the modelled long-term 3-D kinematics in terms of fault slip rates, rotations, vertical motion and sense of fault slip. The model results agree with Global Positioning System velocities, geological fault slip rates, palaeomagnetic measurements and with the observed pattern of subsidence and uplift. Furthermore, our tectonically driven vertical velocities can be linked to landscape and basin evolution and to features of sedimentation. Our results indicate that the Main Marmara Fault can be interpreted as a through-going fault that slips almost purely in a strike-slip sense. Nevertheless, and not contradictory to the previous statement, there is significant dip-slip motion at some sections of the Main Marmara Fault. The agreement of the modelled 3-D kinematics with model-independent observations supports that the main structural details of the fault system are accounted for. Sensitivity analysis of model parameters reveals that changes in rock properties and the initial stress state have minor influence on the 3-D kinematics. We conclude that the 3-D structure of the fault system is the key control of the kinematics. The slip rate of the Main Marmara Fault from our model is lower than previous estimates and shows high variability along strike (12.8-17.8 mm a). The latter indicates that stress accumulation is non-uniform along strike. [ABSTRACT FROM AUTHOR]

In this paper, 28 aftershock sequences are selected, which are distributed in different areas including north China, southwest of China, northwest of China, Taiwan area, Turkey and Greece. In order to investigate the characteristics of these sequences along with different temporal and spatial coordinates, each sequence has been divided into dozens of segments called ``sub-sequences''. The ETAS (Epidemic Type Aftershock Sequences) model is applied to each ``sub-sequence'', and therefore the vectors of parameters of ETAS could be evaluated. Another model named LR (Logistic Regression) model is used to seek the correlate relation between the parameters of ETAS applied to every earthquake ``sub-sequence'' and seismicity. All the analyses and estimations imply that the characteristic of decay of aftershock sequences in different temporal and spatial domains seems to be characterized by the parameters of the ETAS model applied to some aftershock sequences or ``sub-sequences'', and there are some proportional correlate relations between the evaluation of LR model and the occurrence probability of the succeeding strong seismic energy release. [ABSTRACT FROM AUTHOR]

Lake Eğirdir is located in the Lakes District in southwestern Turkey and it is the second largest freshwater resource lake. Evaporation is an important parameter in hydrological and meteorological practical studies. This study has three objectives: (1) to develop models for the estimation of daily evaporation using measured data from the automated GroWeather meteorological station located near Lake Eğirdir; (2) to compare the evaporation models with the classical Penman approach; (3) to evaluate the potential of each model. The comparisons are based on daily and monthly available data from 2001 and 2002. The evaporation estimation models (EEMs) developed in this paper have lower mean absolute errors and higher coefficient of determination R2 values than the Penman method. In order to evaluate the potential of the EEMs, daily evaporation values are calculated by the Priestley-Taylor, Brutsaert-Stricker, de Brain, Makkink and Hamon methods. The EEMs are statistically indistinguishable from the classical methods on the basis of the parameters of mean, standard deviation, etc. In the evaluation of daily and monthly values, the relative error percentage for daily evaporation has lower values than for monthly evaporation. It can be seen that the EEMs help in calculating daily evaporation rather than monthly. Final evaluation and comparison indicate that there is a good agreement between the results of EEMs and the Penman approach than with the classical methods. Copyright © 2006 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Snowmelt lysimeters collect and measure the meltwater that is released from the snowpack. The data recorded from a snowmelt lysimeter are valuable for the formulation of the physical basis of modules of a snowmelt runoff model. There are few snow studies on the eastern region of Turkey in basins that feed the Euphrates and Tigris Rivers. The design and performance evaluation of the first real-time snowmelt lysimeter in this region is presented in this paper. Detailed information about the snowmelt lysimeter designs in the literature is also summarized. The water released from the monitored snowpack is evaluated on hourly and daily bases and compared with rain and snow-water equivalent values. The snowmelt lysimeter performed well, matching streamflow trends in large basins. Data from rain-on-snow, rainfall-only, and snowmelt-only events could be explained by the lysimeter and other data. The lysimeter rainfall catch (about 5% greater than a rain gauge) was similar to rainfall measurements from a soil-block lysimeter in the USA. This paper contributes to the literature by documenting the first near real-time snow lysimeter research in eastern Turkey. The results are useful for improving the design for other areas in this understudied portion of the world, where snowmelt contributes the major portion of runoff. [ABSTRACT FROM AUTHOR]

Contour maps of any meteorological variable cannot give radius or area of influences around the measurement station by considering the records at surrounding sites. The main purpose of this paper is to propose a trigonometric point cumulative semivariogram (TPCSV) concept for deciding on a spatial dependence function and then its use for regional prediction. The TPCSV provides a unique opportunity for the establishment of a regional objective prediction method whereby the radius of influence helps to predict wind velocity at any site by using the weighted averages. The spatial correlations and weightings are obtained through the TPCSV provided that the distance between two sites is known. If the slope of TPCSV is greater than 80° after some distance, then beyond this distance the regional correlation is considered as negligible. The implementation of the proposed methodology is presented for 68 wind velocity measurement stations in Turkey. The proposed method yields the least prediction error compared with other objective methodologies. It is seen that areas of influence at Central Anatolia are generally bigger than coastal areas of Turkey. [ABSTRACT FROM AUTHOR]

Given the scarcity of COVID-19 vaccines, equitable (fair) allocation of limited vaccines across the main administrative units of a country (e.g. municipalities) has been an important concern for public health authorities worldwide. In this study, we address the equitable allocation of the COVID-19 vaccines inside countries by developing a novel, evidence-based mathematical model that accounts for multiple priority groups (e.g. elderly, healthcare workers), multiple vaccine types, and regional characteristics (e.g. storage capacities, infection risk levels). Our research contributes to the literature by developing and validating a model that proposes equitable vaccine allocation alternatives in a very short time by (a) minimising deviations from the so-called 'fair coverage' levels that are computed based on weighted pro-rata rations, and (b) imposing minimum coverage thresholds to control the allocation of vaccines to higher priority groups and regions. To describe the merits of our model, we provide several equity and effectiveness metrics, and present insights on different allocation policies. We compare our methodology with similar models in the literature and show its better performance in achieving equity. To illustrate the performance of our model in practice, we perform a comprehensive numerical study based on actual data corresponding to the early vaccination period in Turkey. [ABSTRACT FROM AUTHOR]

Environmental guidelines in the automotive industry greatly emphasize the recycling, remanufacturing, and recovering of end-of-life vehicles (ELVs). Given the principle of extended producer responsibility, developing an effective reverse logistics network is the most significant digit ahead of the industry. However, initial attempts addressing the reverse logistics network design (RLND) problem were short-sighted, focusing on cost minimization. Undoubtedly, the whole concept of recycling was founded on the pillars of sustainability. Accordingly, reverse logistics network design must be motivated by long-term environmental and societal benefits. This fact has become even more prominent in the current pandemic environment as COVID-19 has added serious uncertainties and risks to the supply chain processes. This paper reiterates the essence of sustainability goals and proposes a multi-objective fuzzy mathematical model to RLND problem for ELVs under such a fragile and fuzzy environment. The coverage of the proposed model is to optimally determine the locations and numbers of the facilities and the flows among them concerning environmental, social, and economic aspects. Hence, the model aims to reach a robust compromise solution that leads to a resilient network design. A real case study on the ELV market in Istanbul/Turkey proves the merit of the developed model. [ABSTRACT FROM AUTHOR]

OBJECTIVE: The total annual count of reported tuberculosis (TB) cases continues to decline throughout Turkey. Recognizing the regions with high and low burdens and revealing the factors affecting TB notification rates may play a role in guiding national control programs. This study aimed to analyze the spatial distribution of TB notification rates from 2005 to 2018 and evaluate the factors contributing to TB rates. MATERIAL AND METHODS: In this ecological study, we used freely available open data from the Internet. We employed global and local spatial autocorrelation analysis to identify the spatial distribution and the clusters with low and high burdens. We conducted an ordinary least square regression model, spatial lag model, and spatial error model. The best-fitting model was selected via model parameters. RESULTS: Throughout the study period, the provinces in West Marmara Region (Edirne, Kırklareli, Tekirdağ, Çanakkale) were consistently in a high-burden cluster. In univariate ordinary least square regression, population density, the proportion of contacts screened for TB, the proportion of TB contacts who received prophylaxis, TB dispensary count, mean particulate matter 10 levels, and gross domestic product were found to be positively associated with TB notification rate. The best-fitting multivariate spatial lag model revealed that the proportion of contacts screened for TB (ß, z-value: 0.89, 2.21) positively affected TB notification rate. CONCLUSION: The high TB burden in West Marmara Region should warn policymakers to maintain a focused approach to controlling TB in this area. This study showed the importance of contact tracing efforts to prevent the underdetection of TB cases. [ABSTRACT FROM AUTHOR]