Hydrologic homogeneous regions using monthly Streamflow in Turkey

Cluster analysis of gauged streamflow records into homogeneous and robust regions is an important tool for the characterization of hydrologic systems. In this paper we applied the hierarchical cluster analysis to the task of objectively classifying streamflow data into regions encompassing similar streamflow patterns over Turkey. The performance of three standardization techniques was also tested, and standardizing by range was found better than standardizing with zero mean and unit variance. Clustering was carried out using Ward’s minimum variance method which became prominent in managing water resources with squared Euclidean dissimilarity measures on 80 streamflow stations. The stations have natural flow regimes where no intensive river regulation had occurred. A general conclusion drawn is that the zones having similar streamflow pattern were not be overlapped well with the conventional climate zones of Turkey; however, they are coherent with the climate zones of Turkey recently redefined by the cluster analysis to total precipitation data as well as homogenous streamflow zones of Turkey determined by the rotated principal component analysis. The regional streamflow information in this study can significantly improve the accuracy of flow predictions in ungauged watersheds

The Influence of Supporting and Non-Controlling Supervision on Interest in Work Innovation and the Mediating Role of Trust in Supervisor: A Study on Electronics and Appliances Sector in Turkey

This study by looking at the climatic internal dynamics behind innovation showed that supporting and non-controlling supervision has a significant positive influence on interest in work innovation especially in a sector where innovation is a taken for granted issue. Interest in work innovation is not an investigated approach in the innovation literature. Besides, the questionnaire adapted is validated through confirmatory factor analyses. The sample consists of the engineers, supervisors and other employees working in the production plants of four leading labels which are known for highest innovation in the sector

Walking track analysis: an assessment method for functional recovery after sciatic nerve injury in the rat

Walking track analysis was first described by de Medinaceli et al. This technique has been significantly modified to provide methods of indexing nerve function that are more valid. Moreover, it has been questioned by several authors. The aim of the present review is to offer a combined knowledge about walking track analysis for scientists who deal with neuroscience

Unlocking innovation for net zero: Constraints, enablers, and firm-level transition strategies

Transition pathways for net zero encompass seemingly insurmountable innovation challenges for the scaling of less mature technological solutions such as hydrogen, materials substitution, and electrification as well as societal challenges to increase the market acceptability of these solutions. In this article, we present a conceptual framework which provides a firm-level perspective on net-zero innovation which has four unique characteristics, i.e. it is complex, systemic, urgent, and directional. The framework shows that the input, process, and output constraints that incumbent firms face in the net-zero transition can be tackled through four firm-level innovation levers – i.e. recombinative, collaborative, integrative, and socio-cognitive capabilities – which, in concert, act as enablers for firms to address these net-zero constraints. We conclude the article by outlining the framework’s main insights for firms’ innovation strategies for net zero and the policy implications. We also propose avenues for future research on net-zero innovation

Diurnal gradual heat stress affects antioxidant enzymes, proline accumulation and some physiological components in cotton (Gossypium hirsutum L.)

Even though high temperatures significantly reduce both vegetative growth and yield in cotton, very little is known about the effects of heat stress on cotton antioxidant system. Thus, the effects of gradual heat stress on cotton growth in controlled conditions were investigated in the present study. At squaring stage, cotton plants were subjected to two different temperatures, 38 and 45°C to determine the influence of heat stress on the plants. The results of the present study showed that heat stress did not significantly altered the levels of malondialdehyde (MDA) and hydrogen peroxide (H2O2) in the leaves, whereas there was a remarkable decline in proline quantity of the leaves of plants subjected to 45°C heat stress. As for the amount of total chlorophyll content, a slight increase at plants treated with 38°C temperature was observed. Furthermore, the activities of some enzymes such as superoxide dismutase (SOD), which were associated with heat stress response in other plants was also investigated. For example, there was decline in the activitity of SOD in the plants exposed to high temperatures. On the contrary, catalase (CAT) activity increased at 45°C; peroxidase (POX) activity increased at 38°C and ascorbate peroxidase (APX) activity increased at 38 and 45°C. The results from this study suggest a potential role for CAT, POX and APX in the reduction of elevated levels of H2O2 in cotton plants grown under heat stress condition. To sum up, it could be concluded that, diurnal gradual heat stress caused a low oxidative injury in cotton