Browsing by Author "Karataş, M."

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Open Access
Machine learning and artificial neural networks-based approach to model and optimize ethyl methanesulfonate and sodium azide induced in vitro regeneration and morphogenic traits of water hyssops (Bacopa monnieri L.)
(2022-09-10) Mirza, K.; Aasim, M.; Katırcı, R.; Karataş, M.; Ali, Seyid Amjad
Application of chemical mutagens is used for artificially induced in vitro mutation to develop new cultivars with elite characteristics. However, the optimization of selecting proper mutagen, its concentration, and exposure time is of utmost importance, especially for plants containing noteworthy secondary metabolites. In this study, the effect of sodium azide (NaN3) and ethyl methanesulfonate (EMS) in different concentrations (0.025, 0.05, 0.1, and 0.2 mg l−1), and treatment time (30, 60, and 120 min) was investigated on Bacopa monnieri; an important medicinal plant. The maximum shoot counts (57.0) were achieved from the combination of 0.10 mg l−1 EMS × 60 min. Whereas, maximum shoot length (4.07 cm), node numbers (4.97) and leaf numbers (12,23) were achieved from the combination of 0.20 mg l−1 EMS × 120 min, respectively. Combination of 0.025 mg l−1 NaN3 × 120 mg/l yielded maximum shoot counts (52.30), shoot length (3.23 cm), node numbers (6.07) and leaf numbers (12.13). The trained model to predict the outputs were designed and calibrated with machine learning (ML) algorithms. Support Vector Classifier (SVC), Gaussian Process (GP), Extreme Gradient Boosting (XGBoost), Random Forest (RF) models, and Multilayer Perceptron (MLP) neural network algorithms were used to discover the best models and their hyperparameters. The RF model gave exceptional results in the prediction of the outputs. F1 scores of the RF were acquired in the range of 0.98–1.00 for different outputs. The other models’ F1 scores varied in the range of 0.65 and 0.85. The present work opens the new era of applying ML and artificial neural network (ANN) models in plant tissue culture with the possibility of application for other economic crops.
Open Access
Religious communities and the marketplace: learning and performing consumption in an Islamic network
(Sage Publications, 2013) Karataş, M.; Sandıkcı, Ö.
Sociopolitical analyses of religion evidence the increasing prominence of religious communities across the world. However, existing work on religion-consumption interaction focuses mostly on the personal effects of religion and examines how religion and religious ideologies influence individual decision making, choice, and purchase and shopping behaviors. In this study, we focus on the collective experiences of religion and unpack the multiple ways consumption shapes and is shaped by a communal religious ethos. Through an ethnographic study of a Turkish-based Islamic community, we show that consumption plays important roles in attracting individuals to the community, socializing them to the communal ethos, and drawing symbolic boundaries between the community members and outsiders. We also discuss how the communal religious ethos shapes consumption practices and brand relationships of members and influences the marketplace dynamics.