Kazak, M. | Tiryaki, M. | Turkes Basaran, E. | Benderli Gokce, Y.

Article | 2020 | Odontology

The aim of this study was to investigate the cumulative effects of fruit juices and/or alcoholic beverages on wear track area of the restorative materials by simulating the oral environment in vitro. A microhybrid, a sub-microhybrid, a nanofill resin composite, and a giomer material were used. A daily exposure habits model was created to simulate consumption frequency of acidic and/or alcoholic beverages. Two-body wear tests were carried out using a reciprocating wear tester. ANOVA and Tukey’s HSD tests were used for statistical analyses (p < 0.05). When considering experimental groups related to daily exposure habits, statistical d . . .ifference was found between restorative materials in terms of wear track area (p < 0.01). Joint effect of rmaterial and exposure on wear track area was statistically significant (p < 0.01). Giomer was found to be more affected by acidic and alcoholic beverages. Microhybrid resin composites showed less wear than the other restorative materials. Cumulative effects of alcoholic beverages and fruit juice on wear track area of materials could be related to material’s composition and frequency of consumption of acid or ethanol-containing beverages. Daily cumulative effect of acidic and alcoholic beverages was found to be stronger than only acidic fruit juice consumption in terms of wear track area. The plasticizing effect and the concentration of ethanol in the alcoholic beverages provided the basis for the increased wear track area on the restorative materials. © 2020, The Society of The Nippon Dental University Daha fazlası Daha az

Ciftci, D. | Ozilgen, S.

Article | 2019 | Journal of Food Science and Technology56 ( 1 ) , pp.483 - 490

Oxidative stability and loss of nutritional values during storage are the major problems that are encountered in the nut spreads and nut pastes affecting the commercial value. In this study, kinetic behavior of lipid oxidation and depletion of the phenolic antioxidants in the black carrot juice supplemented almond pastes stored at the temperature range of 4–60 °C were studied. Kinetic models were employed to quantify the observations. Lipid oxidation was modeled with the logistic equation. Addition of black carrot juice delayed lipid oxidation, and decreased the maximum peroxide value attained. Being different than the results of th . . .e previous studies performed with the similar pastes, the rate constants of peroxide formation reactions in the black carrot juice supplemented pastes decreased with increasing temperature (from 0.60 to 0.27 d-1); possibly due to capturing of the lipid oxidation intermediaries by the antioxidants at higher rates at higher temperatures. Depletion of phenolics agreed with a unimolecular first order apparent kinetic model. At the end of the storage period, phenolic losses in the pastes were 5.4, 31.8, 36.9 and 38.2% at 4, 20, 30 and 60 °C, respectively. The results showed that incorporation of the black carrot juice might have an effect on the mechanism of the lipid oxidation and its temperature dependency, and improve the shelf life of the almond pastes. © 2019, Association of Food Scientists & Technologists (India) Daha fazlası Daha az

E. Karadeniz | A. Özçam

Book Part | 2018 | Contributions to Management Science , pp.433 - 448

Entrepreneurship is an important process in regional economic development. However, there is no dedicated research to determinants of entrepreneurship in relation to all regions of Turkey. The main objective of chapter is to find the extent to which the level of entrepreneurial activity varies between regions in Turkey. This chapter also contributes to the field of entrepreneurship studies by presenting, for the first time, the entrepreneurship data of women over the regions of Turkey and by analyzing the regional variations with respect to gender in the early stage of entrepreneurial activity. Our findings support the fact that the . . . entrepreneurial activity in the West Marmara, the Mediterranean, the West Black Sea and the West, Southeast and the Central Anatolia Regions, are no different from the base Region of Istanbul. The general entrepreneurship pursuit in Aegean, the East Marmara, the East Black Sea, the Northeast Anatolia and the Central East Anatolia Regions are found to be about 2% lower compared to the Region of Istanbul, on the average. On the other hand, the likelihood of being an entrepreneur among women is highest in the Aegean Region which is 9.4%. This likelihood is even higher than that in the Region of Istanbul which is 8.1%. Hence, the probability of being a woman entrepreneur ranges from 5.8 to 10.6% in Turkey. When the same probabilities are considered at the age of 45, they are lower and range from 5.4 to 9.7%. Moreover, while the entrepreneurial attitudes, i.e. fear of failure in starting business, and education have a negative effect, the perceptions on start-up opportunities and believed to have knowledge, skill and experience have a positive effect on the probability of being an entrepreneur. The data used in this study were collected by means of the national adult population Survey (APS) from the Global Entrepreneurship monitor (GEM) project conducted in Turkey covering the years of 2006–2015 (except for the year of 2009). The dataset consisting of 56,142 interviews with a representative sample of adults (18–64Â years old) covering 12 regions. © Springer International Publishing AG, part of Springer Nature 2018 Daha fazlası Daha az

Bulutlar, F. | Kamaşak, R.

Book Part | 2014 | Springer Proceedings in Complexity , pp.59 - 65

This paper uses complexity theory to help our understanding of the development of specific leadership characteristics that would be appropriate in today’s complex and turbulent environments. In terms of complexity theory complex systems accomplish harmony through uncontrolled interactions of various different agents. The consequences of these interactions are unpredictable (Plowman et al. Leadersh Q 18(4):341–356, 2007). In complex systems the leader’s responsibility is to incorporate interactions between agents that may occur in multi-dimensional processes (Avolio et al. Ann Rev Psychol 60(1):421–449, 2009; Taylor et al. Leadersh Q . . . 22(2):412–433, 2011). In complex environments, classical, top-down leadership styles are presumed not to be effective (Schneider and Somers, Leadersh Q 17(4):351–365, 2006). Therefore, in this study, a theoretical framework including the necessary leadership attributes within complex adaptive systems will be developed and discussed. The framework presents an integrative perspective of leadership that focuses on effective and necessary leadership attributes, reactions and interactions that are expected to positive organizational performance in complex and chaotic environments. © Springer Science+Business Media Dordrecht 2014 Daha fazlası Daha az

İlsever, M. | Ünsalan, Cem

Book Part | 2012 | SpringerBriefs in Computer Science ( 9781447142546 ) , pp.53 - 56

In previous chapters, we introduced several change detection methods working on different principles. They also had different assumptions. In this chapter, we provide a method to fuse the change maps obtained from these. We applied our fusion approach both in category (within a group) and inter-category (between groups) levels. We explore these methods next. © 2012, Cem Ünsalan.

Livvarçin, Ö. | Kurt, D.

Book Part | 2015 | Springer Proceedings in Complexity , pp.229 - 234

This study introduces the usability of Balance Theory for the effective and correlated management of vision, strategies and projects especially in complex environments. Balance Theory was initially developed by Livvarçin (J Turk Navy Navy 77–81, 2010) as a tool for the strategic management of business organizations as well as national organizations or even countries. The theory basically claims that there should be a balance between the interest area of the organization and its power. Any misbalance between those two parameters will cause various types of strategic level problems. When the level of complexity increases, the establis . . .hment of clear vision, derivation of strategies and finally development of oriented projects becomes more crucial and more difficult. This study proposes the usage of balance theory for designing vision as the first step. It basically aims to answer the questions; “Where are we now?”, “Where do we want to be?” and finally “How shall we go there?” for the determination of the vision. In the second step; strategies will be developed by assessing the gap between our current and aimed positions. Afterwards, the most appropriate and feasible projects can be initiated. This straightforward process is valid also in complex environments where pursuit of strategies becomes more difficult. © Springer International Publishing Switzerland 2015 Daha fazlası Daha az

Hamamci, A.

Article | 2020 | Neuroinformatics18 ( 1 ) , pp.25 - 41

Geodesic based tractography on diffusion magnetic resonance data is a method to devise long distance connectivities among the brain regions. In this study, cellular automata technique is applied to the geodesic tractography problem and the algorithm is implemented on a graphics processing unit. Cellular automaton based method is preferable to current techniques due to its parallel nature and ability to solve the connectivity based segmentation problem with the same computational complexity, which has important applications in neuroimaging. An application to prior-less tracking and connectivity based segmentation of corpus callosum f . . .ibers is presented as an example. A geodesic tractography based corpus callosum atlas is provided, which reveals high projections to the cortical language areas. The developed method not only allows fast computation especially for segmentation but also provides a powerful and intuitive framework, suitable to derive new algorithms to perform connectivity calculations and allowing novel applications. © 2019, Springer Science+Business Media, LLC, part of Springer Nature Daha fazlası Daha az

Hacınlıyan, A. | Kandıran, E.

Conference Object | 2019 | Springer Proceedings in Complexity , pp.65 - 75

Many models of physical systems involving electronic circuit elements [6], population dynamics [5] involve evolution equations with discontinuities. The key to understand such systems is to hope that the discontinuity does not adversely affect the integration process. There are also three variable chaotic dynamical system examples, such as the Sprott systems for deriving jerky dynamics that have also become of interest [10]. In order to calculate dynamical invariants in chaotic systems such as characteristic exponents and fractal dimensions we often need to find the Jacobian; this often requires attempting to differentiate discontin . . .uous functions. Therefore finding a suitable continuous approximation to the discontinuities becomes important. In previous communications, two example systems had been used with two parametrizations for approximating discontinuous functions with continuous ones, one of which is the same as that used in the literature. In this work, we will use further examples to optimize the parameters of the continuous approximation to discontinuities using different examples in order to test the degree of applicability of this approach. Where possible, the invariants calculated by this method will be compared to the corresponding invariants calculated from its time series. © Springer Nature Switzerland AG 2019 Daha fazlası Daha az

İlsever, M. | Ünsalan, Cem

Book Part | 2012 | SpringerBriefs in Computer Science ( 9781447142546 ) , pp.71 - 72

Two dimensional change detection methods are used extensively in image processing and remote sensing applications. In this study, we focused on these methods and their application to satellite images. We grouped change detection methods (based on the way they process data) under four categories as: pixel based, texture based, transformation based, and structural. © 2012, Cem Ünsalan.

Hacınlıyan, A. | Kandıran, E.

Conference Object | 2019 | Springer Proceedings in Complexity , pp.149 - 158

Lyapunov exponents characterize the rate of approach or recession of nearby trajectories in a dynamical system defined by differential equations or maps. They are usually taken as indicators of chaotic behavior. The density of orbits in the state space or equivalently, the Poincare map is usually taken as another such indicator. Although these indicators usually give correct results, there are instances in which they can lead to confusing or misleading information. For instance, a system of three linear differential equations can have three positive eigenvalues ?i leading to a solution ?it. The Wolf-Benettin algorithm [4] would repo . . .rt three positive Lyapunov exponents, in spite of the fact that the system is not chaotic. Another example is the Khomeriki model [1] or even the usual Bloch equations that would report a spectrum of all negative Lyapunov exponents but produce completely full state space plots, if the AC field is sufficiently strong. We will consider the class of systems proposed by Sprott [3] consisting of three-dimensional ODE’s with at most two quadratic nonlinearities as examples. Many of them obey two scenarios one of which is Lorenz model like behavior where an unstable linearized fixed point is surrounded by two stable fixed points so that the unstable fixed-point leads to a throw and catch behavior. The other is Rössler-like behavior whereas the system moves away from a weakly unstable linearized fixed point, nonlinear terms return it to equilibrium with a spiral out catch in mechanism. Since the presence of an attractor may involve structural stability, these two mechanisms are expected to produce different spatial extents for the attractor. Although Lyapunov exponents indicate time dependent behavior, spatial extent would complement this as a spatial measure of localization, thus complementing the Lyapunov exponents that characterize horizon of predictability. Direct numerical simulation and where feasible, the normal form approach will be used to investigate selected examples of the three degree of freedom systems. © Springer Nature Switzerland AG 2019 Daha fazlası Daha az

Altınbaş, M.D. | Serif, T.

Conference Object | 2019 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)11673 LNCS , pp.27 - 40

According to recent studies, the world’s population has doubled since 1960. Furthermore, some projections indicate that the world’s population could reach more than ten billion in the next half of this century. As the world is getting increasingly crowded, the ever-growing need for resources is rising. It appears that depletion of natural resources will be three times more than current rates by the mid-century. People would not only consume more resources but also will need more agricultural produce for their everyday life. Hence, in order to meet the ever-increasing demand for farming products, yield should be maximized using top-e . . .nd technologies. Precision agriculture is the application of technologies and methods to obtain data driven crop management of the farmland. In the middle of the 1980s, precision farming techniques initially were used for soil analysis using sensors and evolved to advanced applications that makes use of satellites, handheld devices and aerial vehicles. Drones commonly referred as unmanned aerial vehicles (UAVs) and have been extensively adopted in precision farming. Consequently, in the last two decades, 80 to 90% of the precision farming operations employed UAVs. Accordingly, this paper proposes a prototype UAV based solution, which can be used to hover over tomato fields, collect visual data and process them to establish meaningful information that can used by the farmers to maximize their crop. Furthermore, the findings of the proposed system showed that this was viable solution and identified the defected tomatoes with the success rate of 90%. © 2019, Springer Nature Switzerland AG Daha fazlası Daha az

Maroufi, N.F. | Vahedian, V. | Mazrakhondi, S.A.M. | Kooti, W. | Khiavy, H.A. | Bazzaz, R. | Sabzichi, M.

Article | 2020 | Naunyn-Schmiedeberg's Archives of Pharmacology393 ( 1 ) , pp.27 - 40

The harmful dose-dependent side effects of chemotherapy drugs have caused the discovery of novel perspective to evaluate chemotherapy protocols. In this study, the potential application of Compritol was investigated as a major scaffold into nanostructured lipid careers to highlight myricetin efficiency in treatment of breast cancer cells along with codelivery of docetaxel (DXT). Characterization of myricetin-loaded NLCs was carried out by measuring the particle size and zeta potential, using the scanning electron microscopy. MTT, DAPI staining, flow cytometric, and RT-PCR (real-time) assays were used to recognize novel formulation b . . .ehavior on cell cytotoxicity as well as recognizing molecular mechanism of formulation concerning apoptosis phenomenon. Myricetin-loaded NLCs reduced the cell viability from 50 ± 2.3 to 40 ± 1.3% (p < 0.05). Percentage of apoptosis improved with combination treatment of myricetin-loaded NLCs and DXT in the MDA-MBA231 breast cancer cells. Expression of antiapoptotic genes (survivin, Cyclin B1, and Mcl1) indicated a significant reduction in factor along with increment in proapoptotic factor Bax and Bid mRNA rates. Overall, our results represented that the NLC delivery system could be a promising strategy to enhance the effect of anticancer agents such as DXT on breast cancer. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature Daha fazlası Daha az