Institution
Karamanoğlu Mehmetbey University
Education•Karaman, Turkey•
About: Karamanoğlu Mehmetbey University is a education organization based out in Karaman, Turkey. It is known for research contribution in the topics: Large Hadron Collider & Higgs boson. The organization has 537 authors who have published 1489 publications receiving 15186 citations.
Topics: Large Hadron Collider, Higgs boson, Thin film, Standard Model, Lepton
Papers
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TL;DR: This new approach provides water- and heat-resistant operationally stable PSCs with a record-level PCE, and enhances interfacial hole extraction, suppressing nonradiative carrier recombination and enabling a power conversion efficiency (PCE) >22%, the highest reported for 3D/2D architectures.
Abstract: Preventing the degradation of metal perovskite solar cells (PSCs) by humid air poses a substantial challenge for their future deployment. We introduce here a two-dimensional (2D) A2PbI4 perovskite layer using pentafluorophenylethylammonium (FEA) as a fluoroarene cation inserted between the 3D light-harvesting perovskite film and the hole-transporting material (HTM). The perfluorinated benzene moiety confers an ultrahydrophobic character to the spacer layer, protecting the perovskite light-harvesting material from ambient moisture while mitigating ionic diffusion in the device. Unsealed 3D/2D PSCs retain 90% of their efficiency during photovoltaic operation for 1000 hours in humid air under simulated sunlight. Remarkably, the 2D layer also enhances interfacial hole extraction, suppressing nonradiative carrier recombination and enabling a power conversion efficiency (PCE) >22%, the highest reported for 3D/2D architectures. Our new approach provides water- and heat-resistant operationally stable PSCs with a record-level PCE.
482 citations
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TL;DR: This is the first study to show that the timing of foliar Zn application is of great importance in increasing grain Zn in wheat, especially in the endosperm part that is the predominant grain fraction consumed in many countries.
Abstract: Zinc (Zn) deficiency associated with low dietary intake is a well-documented public health problem, resulting in serious health and socioeconomic problems. Field experiments were conducted with wheat to test the role of both soil and foliar application of ZnSO4 in Zn concentration of whole grain and grain fractions (e.g., bran, embryo and endosperm) in 3 locations. Foliar application of ZnSO4 was realized at different growth stages (e.g., stem elongation, boot, milk, dough stages) to study the effect of timing of foliar Zn application on grain Zn concentration. The rate of foliar Zn application at each growth stage was 4 kg of ZnSO4·7H2O ha−1. Laser ablation (LA)-ICP-MS was used to follow the localization of Zn within grain. Soil Zn application at a rate of 50 kg of ZnSO4·7H2O ha−1 was effective in increasing grain Zn concentration in the Zn-deficient location, but not in the locations without soil Zn deficiency. In all locations, foliar application of Zn significantly increased Zn concentration in whole ...
424 citations
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TL;DR: Eliminating uncertainty from the fear of COVID-19 will contribute to reducing depression, anxiety and stress, and increasing positivity.
Abstract: This study aimed to investigate the mediating role of intolerance of uncertainty, depression, anxiety, and stress in the relationship between the fear of COVID-19 and positivity. The participants consisted of 960 individuals, including 663 females (69.1%) and 297 males (30.9%). The age of the participants ranged between 18 and 76 (29.74 ± 9.64). As a result of the correlation analysis, a positive relationship was found between fear of COVID-19 and intolerance of uncertainty, depression, anxiety, and stress, and a negative relationship was determined between the fear of COVID-19 and positivity. The result of the analysis for the study model indicated that there was a mediating role of intolerance of uncertainty, depression, anxiety, and stress in the relationship between the fear of COVID-19 and positivity. Eliminating uncertainty from the fear of COVID-19 will contribute to reducing depression, anxiety and stress, and increasing positivity.
415 citations
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TL;DR: Two deep learning architectures have been proposed that automatically detect positive COVID-19 cases using Chest CT X-ray images and it is proved that the proposed architecture shows outstanding success in infection detection.
228 citations
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TL;DR: A self-report instrument whose items address the specific phobia diagnosis criteria of the DSM-V and tested its initial psychometric properties show that the scale has initial evidence of construct, convergent, and discriminant validity, and internal consistency reliability.
225 citations
Authors
Showing all 603 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sinan Sagir | 79 | 645 | 29121 |
Osman Agar | 27 | 60 | 1758 |
Savaş Sönmezoğlu | 24 | 66 | 1396 |
Mustafa Unal | 24 | 99 | 1553 |
Huseyin Bekir Yildiz | 23 | 92 | 1513 |
Seckin Akin | 22 | 54 | 1795 |
Faruk Ozel | 20 | 77 | 1029 |
Mehmet Koyuncu | 20 | 184 | 1430 |
Abdulkadir Sirit | 19 | 47 | 910 |
Ibrahim Yilmaz | 19 | 100 | 1375 |
Muhammad Aasim | 16 | 72 | 733 |
Abdullah Kaya | 15 | 58 | 630 |
Musa Kamacı | 15 | 42 | 582 |
Gökhan Sadi | 15 | 56 | 762 |
Mevlut Bayrakci | 15 | 52 | 583 |