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Article The Effect of a Single Session Rubber Hand Illusion on Pressure Pain Is Not Long-Lasting(John Wiley and Sons Inc, 2025) Ceylan, H.; Acet, N.; Günendi, Z.Background: Rubber hand illusion (RHI) is an experience that causes changes in body perception and awareness as a result of the integration of simultaneous perceived visual and tactile stimuli. After synchronous brush strokes with rubber and real hands, the person perceives the rubber hand as their own. RHI is known to alter pain perception. In this study, it was aimed to evaluate the effects of RHI on pressure pain threshold and continuity of this effect. Methods: Twenty-three volunteers who developed RHI were included in our study and two conditions, illusion (synchronous) and control (asynchronous), were applied. The illusion condition was created by synchronous brush strokes, while the control condition was created by asynchronous brush application using different frequency and different finger areas in the same individuals. In both conditions, pressure pain threshold measurements with an algometer were performed at four times: baseline/1st measurement, during the brush stroke/2nd measurement, at the end of the brush stroke/3rd measurement and after the hand was removed from the environment/4th measurement. Results: It was shown that RHI increased the pressure-pain threshold (p = 0.004) in healthy volunteers. Asynchronous brush strokes arranged as a control trial significantly decreased the pressure pain threshold (p = 0.002). Conclusions: It was found that the threshold values that change during the brush strokes return to the initial state after the brush strokes are terminated and the rubber hand is removed from the environment so that the effect of the illusion does not last for a long time with a single session application. © 2025 European Pain Federation - EFIC ®.Article Citation - WoS: 1Citation - Scopus: 1Effect of Atomic Charges on C2H2/Co2 Separation Performances of Covalent-Organic Framework Adsorbents(John Wiley and Sons Inc, 2025) Demir, H.; Erucar, I.A critical factor for the accuracy of computational screening studies is the method employed to assign atomic charges. While chemically meaningful atomic charges can be obtained using a quantum chemistry method-based charge assignment technique (density-derived electrostatic and chemical method (DDEC6)), its application to large material datasets remains computationally demanding. As an alternative, machine-learning (ML) models can offer the ability to determine atomic charges with high accuracy and speed. Herein, two ML models, Partial Atomic Charge Predicter for Porous Materials based on Graph Convolutional Neural Network (PACMAN) and Partial Atomic Charges in Metal-Organic Frameworks (PACMOF), are utilized to predict atomic charges in Clean, Uniform, Refined with Automatic Tracking from Experimental Database (CURATED) covalent-organic frameworks (COFs). The predicted atomic charges are used in simulations to assess COFs' C2H2/CO2/CH4 separation performances in comparison with reference DDEC6-based performances. Results show PACMAN charges can more effectively reproduce DDEC6-based charges and corresponding separation performance metrics, underscoring their suitability for high-throughput material screening. Additionally, the proportions of Coulombic interactions to van der Waals interactions are systematically analyzed, revealing substantial variation across both narrow and wide pores. This study highlights that ML models can be applied to obtain atomic charges that could enable attaining accurate material performance evaluations. © 2025 The Author(s). Advanced Theory and Simulations published by Wiley-VCH GmbH.Article Unveiling the Impact of Vernalisation on Seed Oil Content and Fatty Acid Composition in Rapeseed (Brassica Napus L.) Through Simulated Shorter Winters(John Wiley and Sons Inc, 2025) Çağlı, İ.; Kıvrak, B.E.; Altunbaş, O.; Sönmez, Ç.Climate change is leading to warmer winters world-wide with an increasing number of extreme events every year. Studies show that winter varieties of rapeseed are particularly impacted negatively by global warming. This study investigates the molecular, physiological, and biochemical effects of diverse vernalisation scenarios (i.e., the vernalisation models) on rapeseed plants and seeds. The winter and spring varieties of rapeseed (Brassica napus L.) were subjected to short durations of vernalisation (3 and 4 weeks) as well as to 6- and 8-week long vernalisation interrupted by 1-week devernalisation intervals at warm temperatures. Our results reveal a notable difference in vernalisation responsiveness in major floral regulator FLC orthologues between the late-flowering winter variety, Darmor, the early-flowering winter variety, Bristol, and the spring variety, Helios, after 3 weeks of vernalisation. Within the three FLC genes (BnaFLCA02, BnaFLCA10, and BnaFLCC02) analysed in this study, BnaFLCA10 emerged as the most responsive to vernalisation in all three varieties. The vernalisation duration significantly influenced seed oil content and fatty acid composition in both Bristol and Helios varieties. In Bristol, the 2 + 6w vernalisation model in which vernalisation was interrupted for 1 week after 2 weeks of vernalisation and continued for another 4 weeks consistently resulted in the highest oil content and oleic acid percentage. The interrupted vernalisation (2 + 4w and 2 + 6w) also led to increased monounsaturated fatty acids across all 3 years. In Helios, non-vernalised plants produced seeds with the lowest oil content, and vernalisation duration positively correlated with both seed oil content and oleic acid percentage. Our findings unveil a robust correlation between vernalisation and seed oil content, as well as fatty acid composition in rapeseed. © 2025 The Author(s). Journal of Agronomy and Crop Science published by Wiley-VCH GmbH.Article Citation - Scopus: 3Intensive Care Nurses' Knowledge and Practices Regarding Medical Device-Related Pressure Injuries: a Descriptive Cross-Sectional Study(John Wiley and Sons Inc, 2024) Kurtgöz,A.; Kızıltepe,S.K.; Keskin,H.; Sönmez,M.; Aşatır,İ.This study aims to determine the levels of knowledge and practices of intensive care nurses regarding medical device-related pressure injuries (MDRPIs). This descriptive cross-sectional study was carried out between September 2023 and February 2024, involving 143 nurses working in intensive care units across three hospitals in Türkiye. The data were collected using the demographic form and the Medical Device-related Pressure Injuries Knowledge and Practice Assessment Tool (MDPI-ASSET). Of the nurses, 74.1% have encountered MDRPIs in their unit, 63.6% feel that their knowledge about MDRPIs is insufficient and 90.2% express a desire to receive training about MDRPIs. The participants' total mean MDPI-ASSET score was 11.12 (out of 21). The nurses achieved the highest mean score on the Aetiology/risk factors sub-scale and the lowest mean score on the Staging sub-scale. The analysis revealed significant differences in the mean MDPI-ASSET total scores among nurses based on the status of previous encounters with MDRPIs (t = 2.342; p = 0.021) and their feelings of responsibility for the development of MDRPIs (t = −2.746; p = 0.007). In this study, the knowledge and practices of intensive care nurses regarding medical device-induced pressure injuries were found to be inadequate. Given the frequent occurrence of MDRPIs in intensive care units, it is necessary to support nurses with continuous organizational-level training to improve the quality of care for critically ill patients. © 2024 The Author(s). International Wound Journal published by Medicalhelplines.com Inc and John Wiley & Sons Ltd.Article Dual Zn/Zr Hybrid Framework-Integrated Membranes With Enhanced Proton Conductivity and Durability for High-Temperature PEM Fuel Cells(John Wiley and Sons Inc, 2025) Altınışık, H.; Devrim, Y.This study proposes an innovative strategy for fabricating advanced composite membranes based on a poly[2,2′-(m-phenylene)-5,5′-bibenzimidazole] (PBI) matrix for high-temperature proton exchange membrane fuel cells (HT-PEMFCs). A co-synthesized hybrid porous framework incorporating both Zn- and Zr-based nanostructures was integrated into the PBI backbone, ensuring uniform dispersion and strong interfacial bonding, as verified by comprehensive structural and morphological characterizations. This dual-framework architecture promoted the formation of continuous proton-conductive channels and enhanced membrane stability under demanding operating conditions. Furthermore, the membranes were utilized after acid doping, and the hybrid structure effectively mitigated the acid leaching issue, ensuring stable long-term proton conductivity. At 0.6 V and 170°C, the membranes achieved a current density of ≈630 mA/cm2, demonstrating the critical role of structural optimization in improving fuel cell efficiency. These findings offer valuable insights into designing scalable, durable, and thermally stable membranes for next-generation HT-PEMFC applications. © 2025 Society of Plastics Engineers.