Assessing the electricity production capacities of emerging markets for the sustainable investments

It is essential to supply the necessary electricity for both the increase in the quality of life of the citizens and the stable growth of the country’s economy. For countries to have energy independence, they need to increase their electricity generation capacity. However, all alternatives required to increase electrical capacity have both advantages and disadvantages. Within this scope, it is not easy for countries to make the right investment decisions. Therefore, a comprehensive analysis is needed to determine the right investment policy. The purpose of this study is to evaluate the electricity production capacities of emerging markets. A new fuzzy decision-making model has been constructed to find a solution for this situation. The groups for the electricity production capacities are examined by the extension of DEMATEL with Quantum Spherical fuzzy sets and golden ratio. In the following stage, emerging seven economies are ranked by using QSF TOPSIS technique. This situation helps to understand which of these countries are more successful in generating electricity capacity effectively. The main novelty is to define the most significant electricity generation alternatives by a novel model that integrates DEMATEL and TOPSIS with QSFSs and golden ratio. The results demonstrate that solar photovoltaic is the most optimal way to increase electricity capacity of the countries. Additionally, China is the most successful emerging country to generate electricity in an efficient way. Countries should take some actions to increase their solar energy investments. First, it would be appropriate to provide tax exemptions to solar energy investors so that the costs of these projects can be decreased. Additionally, investments in solar energy technologies need to be further increased

DEVELOPMENT OF FLEXIBLE SENSOR STRUCTURES WITH ALERT FEATURE ON ROLLER BLIND SURFACE WORKING WITH SOLAR ENERGY

In the project, roller blinds with alarm sensors working with solar energy were developed. It is aimed to develop the alarm system, which is a security system product that has become the need of every house, on the curtain surface by designing flexible sensor structures. Lightweight fabric design, sensor design, system design and mobile application studies were carried out. User tests of the product with optimum values were carried out. As a result of the evaluations, it was seen that the lightweight fabric rate was 34% and the capacitive sensing distance of the selected pattern was 15 cm. © 2022, Tekstil ve Muhendis. All Rights Reserved.Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK: 3181104This study is funded by the Zorluteks Textile Trade and Industry Inc. Scientific Research Project under grant no. TUBITAK TEYDEP 1501. (Project Number: 3181104

Modeling and Analysis of Sea-Surface Vehicle System for Underwater Mapping Using Single-Beam Echosounder

Detailed knowledge on the shape of the seafloor is crucial for many researchers. Bathymetric data are critical for navigational safety and are used for underwater mapping. This study develops a sea-surface vehicle (SSV) system for underwater mapping by using both bathymetric data from a low-cost single-beam echosounder located on the SSV, and the navigation data of the SSV. The navigation of the SSV was obtained using a global positioning system (GPS). The effect of changing bathymetric and navigation data due to external disturbances such as wind and waves on the map was analyzed. The sea-bottom slope angles, which are effective in changing bathymetric data, were estimated and corrected in relation to the estimated angles in a particular mapped area for more accurate underwater mapping. Additionally, the effects of the grid range of the mapped area, beam angle of the echosounder, and position of the echosounder on the underwater mapping were analyzed. These analyses were based on simulation data, and were performed in a MATLAB, HYPACK, and Global Mapper environment. An underwater map was also obtained in the Kozlu/Zonguldak area, Black Sea by using a single-beam echosounder located on the SSV. This map was improved by estimating sea-bottom slope angles and the corrected bathymetric data to obtain a more accurate underwater map of the area. The experimental and simulation results were compared, focusing on the sea-bottom slope changes, sea-surface disturbances, bathymetry grid range changes, and draft effects

Modeling and Analysis of Sea-Surface Vehicle System for Underwater Mapping Using Single-Beam Echosounder

Detailed knowledge on the shape of the seafloor is crucial for many researchers. Bathymetric data are critical for navigational safety and are used for underwater mapping. This study develops a sea-surface vehicle (SSV) system for underwater mapping by using both bathymetric data from a low-cost single-beam echosounder located on the SSV, and the navigation data of the SSV. The navigation of the SSV was obtained using a global positioning system (GPS). The effect of changing bathymetric and navigation data due to external disturbances such as wind and waves on the map was analyzed. The sea-bottom slope angles, which are effective in changing bathymetric data, were estimated and corrected in relation to the estimated angles in a particular mapped area for more accurate underwater mapping. Additionally, the effects of the grid range of the mapped area, beam angle of the echosounder, and position of the echosounder on the underwater mapping were analyzed. These analyses were based on simulation data, and were performed in a MATLAB, HYPACK, and Global Mapper environment. An underwater map was also obtained in the Kozlu/Zonguldak area, Black Sea by using a single-beam echosounder located on the SSV. This map was improved by estimating sea-bottom slope angles and the corrected bathymetric data to obtain a more accurate underwater map of the area. The experimental and simulation results were compared, focusing on the sea-bottom slope changes, sea-surface disturbances, bathymetry grid range changes, and draft effects

Pazopanib for metastatic soft-tissue sarcoma: A multicenter retrospective study

Purpose: Soft tissue sarcomas are associated with a poor prognosis and low chemotherapeutic efficiency. Pazopanib is an orally available multi-tyrosine kinase inhibitor that was explored in patients with non-adipocytic advanced soft tissue sarcomas. The aim of this retrospective study was to evaluate the real life data of single-agent pazopanib efficacy and safety for soft tissue sarcomas in the Turkish population. Materials and methods: We evaluated a total of 103 patients (41 males, 62 females) who received pazopanib for advanced non-adipocytic soft tissue sarcomas diagnosis in eight centers of Turkey, retrospectively. The pazopanib dose was 800 mg once daily. Progression-free survival, overall survival, and adverse events were analyzed. Results: The median age was 50 years (range, 38–58). Majority of the patients had leimyosarcoma (41%). Median progression-free survival was 4.3 months, and the median overall survival was 10.1 months. The main common toxicities were fatigue, anorexia, weight loss, nausea, hypertension, and grade ≥3 toxicities were fatigue, anorexia, weight loss, and liver disorder. Conclusion: Pazopanib is an efficient and tolerable agent and is well tolerated in good performance status patients with relapsed, advanced non-adipocytic soft tissue sarcomas. © The Author(s) 2020