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Article Citation - WoS: 2Citation - Scopus: 22-Ag and Bone Marrow-Targeted Pcl Nanoparticles as Nanoplatforms for Hematopoietic Cell Line Mobilization(Bmc, 2024) Kose, Sevil; Varan, Cem; Onen, Selin; Nemutlu, Emirhan; Bilensoy, Erem; Korkusuz, PetekBackgroundThe use of mobilizing agents for hematopoietic stem cell (HSC) transplantation is insufficient for an increasing number of patients. We previously reported lipid made endocannabinoid (eCB) ligands act on the human bone marrow (hBM) HSC migration in vitro, lacking long term stability to be therapeutic candidate. In this study, we hypothesized if a novel 2-AG-loaded polycaprolactone (PCL)-based nanoparticle delivery system that actively targets BM via phosphatidylserine (Ps) can be generated and validated.MethodsPCL nanoparticles were prepared by using the emulsion evaporation method and characterized by Zetasizer and scanning electron microscopy (SEM). The encapsulation efficiency and release profile of 2-AG were determined by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The presence of cannabinoid receptors (CBRs) in HSCs and monocytes was detected by flow cytometry. Cell morphology and viability were assessed using transmission electron microscopy (TEM), SEM, and the WST-1 viability assay. The migration efficacy of the 2-AG and 2-AG-loaded nanoparticle delivery system on HSCs and HPSCs (TF-1a and TF-1) and monocytes (THP-1) was evaluated using a transwell migration assay.ResultsThe 140-225 nm PCL nanoparticles exhibited an increasing polydispersity index (PDI) after the addition of Ps and 2-AG, with a surface charge ranging from - 25 to -50 mV. The nanoparticles released up to 36% of 2-AG within the first 8 h. The 2-AG-Ps-PCL did not affect cellular viability compared to control on days 5 and 10. The HSCs and monocytes expressed CB1R and CB2R and revealed increased migration to media containing 1 mu M 2-AG-Ps-PCL compared to control. The migration rate of the HSCs toward monocytes incubated with 1 mu M 2-AG-Ps-PCL was higher than that of the monocytes of control. The 2-AG-Ps-PCL formulation provided a real time mobilization efficacy at 1 mu M dose and 8 h time window via a specific CBR agonism.ConclusionThe newly generated and validated 2-AG-loaded PCL nanoparticle delivery system can serve as a stable, long lasting, targeted mobilization agent for HSCs and as a candidate therapeutic to be included in HSC transplantation (HSCT) protocols following scale-up in vivo preclinical and subsequent clinical trials.Review Citation - WoS: 30Citation - Scopus: 283d Bioprinting Tissue Analogs: Current Development and Translational Implications(Sage Publications inc, 2023) Liu, Suihong; Cheng, Lijia; Liu, Yakui; Zhang, Haiguang; Song, Yongteng; Park, Jeong-Hui; Ramalingam, MuruganThree-dimensional (3D) bioprinting is a promising and rapidly evolving technology in the field of additive manufacturing. It enables the fabrication of living cellular constructs with complex architectures that are suitable for various biomedical applications, such as tissue engineering, disease modeling, drug screening, and precision regenerative medicine. The ultimate goal of bioprinting is to produce stable, anatomically-shaped, human-scale functional organs or tissue substitutes that can be implanted. Although various bioprinting techniques have emerged to develop customized tissue-engineering substitutes over the past decade, several challenges remain in fabricating volumetric tissue constructs with complex shapes and sizes and translating the printed products into clinical practice. Thus, it is crucial to develop a successful strategy for translating research outputs into clinical practice to address the current organ and tissue crises and improve patients' quality of life. This review article discusses the challenges of the existing bioprinting processes in preparing clinically relevant tissue substitutes. It further reviews various strategies and technical feasibility to overcome the challenges that limit the fabrication of volumetric biological constructs and their translational implications. Additionally, the article highlights exciting technological advances in the 3D bioprinting of anatomically shaped tissue substitutes and suggests future research and development directions. This review aims to provide readers with insight into the state-of-the-art 3D bioprinting techniques as powerful tools in engineering functional tissues and organs.Article Citation - WoS: 121Citation - Scopus: 140Accuracy Assessment of Temperature Trends From Era5 and Era5-Land(Elsevier, 2023) Yilmaz, MericMany environmental processes and ecological systems are being affected by the warming temperatures as a result of climate change. To correctly identify and attribute the uncertainty estimates in these systems, an investigation of tem-perature trend signal existing in the datasets that are used to study such systems is necessary. In this study, the trend of widely used ERA5 and ERA5-Land temperature estimates between 1951 and 2020 were validated using temperature trends from ground station-based observations in Turkey. The investigation included datasets obtained over 540 stations, and the seasonality and spatio-temporal variability of the trend accuracy was also investigated. On average, the trends of observations over all stations were 0.82 degrees C/decade and 0.30 degrees C/decade for the periods 2001-2020 and 1951-2020, respectively, indicating strong evidence of climate change. When the model datasets used spatially and temporally continuous datasets, the trends identified were 0.91 degrees C/decade and 0.21 degrees C/decade over the entire Turkey for the years 2001-2020 and 1951-2020, respectively. The difference in the 70-year trends of the two esti-mates was attributed to the missing datasets in observations. The differences between the trends of model estimates and observations were higher for the first decade than for the last two decades, stressing the impact of improved model estimates over time. All products showed heavy seasonality, suggesting that winter trends (1.3 degrees C/decade on average) are much higher than the summer (0.3 degrees C/decade) between 2001 and 2020. The results indicated a high degree of consistency between the trends of ERA5/ERA5-Land and observations, implying they may be used as a replacement to observations.Article Citation - WoS: 28Citation - Scopus: 30Acpa Decreases Non-Small Cell Lung Cancer Line Growth Through Akt/Pi3k and Jnk Pathways in Vitro(Springernature, 2021) Boyacioglu, OEzge; Bilgic, Elif; Varan, Cem; Bilensoy, Erem; Nemutlu, Emirhan; Sevim, Duygu; Korkusuz, PetekTherapeutic agents used for non-small cell lung cancer (NSCLC) have limited curative efficacy and may trigger serious adverse effects. Cannabinoid ligands exert antiproliferative effect and induce apoptosis on numerous epithelial cancers. We confirmed that CB1 receptor (CB1R) is expressed in NSCLC cells in this study. Arachidonoylcyclopropylamide (ACPA) as a synthetic, CB1R-specific ligand decreased proliferation rate in NSCLC cells by WST-1 analysis and real-time proliferation assay (RTCA). The half-maximal inhibitory concentration (IC50) dose of ACPA was calculated as 1.39x10(-12)M. CB1 antagonist AM281 inhibited the antiproliferative effect of ACPA. Flow cytometry and ultrastructural analyzes revealed significant early and late apoptosis with diminished cell viability. Nano-immunoassay and metabolomics data on activation status of CB1R-mediated pro-apoptotic pathways found that ACPA inhibited Akt/PI3K pathway, glycolysis, TCA cycle, amino acid biosynthesis, and urea cycle and activated JNK pathway. ACPA lost its chemical stability after 24hours tested by liquid chromatography-mass spectrometry (LC-MS/MS) assay. A novel ACPA-PCL nanoparticle system was developed by nanoprecipitation method and characterized. Sustained release of ACPA-PCL nanoparticles also reduced proliferation of NSCLC cells. Our results demonstrated that low dose ACPA and ACPA-PCL nanoparticle system harbor opportunities to be developed as a novel therapy in NSCLC patients that require further in vivo studies beforehand to validate its anticancer effect.Article ACPA Prevents Lung Fibroblast-to Transformation by Reprogramming the Tumor Microenvironment through NSCLC-Derived Exosomes(Nature Portfolio, 2025) Boyacioglu, Ozge; Kalali, Berfin Deniz; Recber, Tuba; Gelen-Gungor, Dilek; Nemutlu, Emirhan; Eroglu, Ipek; Korkusuz, Petek; Kilic, NedretNon-small cell lung cancer (NSCLC) accounts for most lung cancer cases. Current treatments often cause systemic side effects or lead to drug resistance, prompting the development of new therapies targeting tumors and related cells simultaneously. Cancer-associated fibroblasts (CAFs) are crucial stromal cells within the tumor microenvironment (TME), making them potential targets for therapy. Previously, we found that the CB1 receptor agonist ACPA has anti-tumor effects on NSCLC, inhibiting pathways such as Akt/PI3K, JNK, glycolysis, the citric acid cycle, and the urea cycle both in vitro and in vivo. We hypothesize that ACPA could enhance therapy by inhibiting the transformation of lung fibroblasts into CAFs via exosomes. Control and ACPA-treated NSCLC cell exosomes exhibited similar size, PDI, ZP, and high expression of CD9, CD63, and CD81. ACPA-treated exosomes showed reduced levels of miR-21 and miR-23. These exosomes decreased fibroblast viability within 12 h by disrupting pentose phosphate, lipid, and amino acid metabolism, and by lowering PDPN, alpha-SMA, and FAP expressions. This research highlights ACPA as a promising chemotherapeutic agent, capable of improving NSCLC treatment and reprogramming the TME with more targeted therapies.Article Citation - WoS: 54Citation - Scopus: 68Analysis of Bakery Products by Laser-Induced Breakdown Spectroscopy(Elsevier Sci Ltd, 2015) Bilge, Gonca; Boyaci, Ismail Hakki; Eseller, Kemal Efe; Tamer, Ugur; Cakir, SerhatIn this study, we focused on the detection of Na in bakery products by using laser-induced breakdown spectroscopy (LIBS) as a quick and simple method. LIBS experiments were performed to examine the Na at 589 nm to quantify NaCl. A series of standard bread sample pellets containing various concentrations of NaCl (0.025-3.5%) were used to construct the calibration curves and to determine the detection limits of the measurements. Calibration graphs were drawn to indicate functions of NaCl and Na concentrations, which showed good linearity in the range of 0.025-3.5% NaCl and 0.01-1.4% Na concentrations with correlation coefficients (R-2) values greater than 0.98 and 0.96. The obtained detection limits for NaCl and Na were 175 and 69 ppm, respectively. Performed experimental studies showed that LIBS is a convenient method for commercial bakery products to quantify NaCl concentrations as a rapid and in situ technique. (C) 2015 Elsevier Ltd. All rights reserved.Article Citation - WoS: 4Citation - Scopus: 4Angiogenic Inhibition Therapy, a Sliding Mode Control Adventure(Elsevier Ireland Ltd, 2020) Doruk, Resat Ozgur[No Abstract Available]Article Citation - WoS: 4Citation - Scopus: 6Antioxidant Activity of Micractinium Sp. (Chlorophyta) Extracts Against H2O2 Induced Oxidative Stress in Human Breast Adenocarcinoma Cells(Nature Portfolio, 2024) Bulut, Onur; Kose, Iskin Engin; Sonmez, Cagla; Oktem, Huseyin AvniIn response to the growing demand for high-value bioactive compounds, microalgae cultivation has gained a significant acceleration in recent years. Among these compounds, antioxidants have emerged as essential constituents in the food, pharmaceutical, and cosmetics industries. This study focuses on Micractinium sp. ME05, a green microalgal strain previously isolated from hot springs flora in our laboratory. Micractinium sp. cells were extracted using six different solvents, and their antioxidant capacity, as well as total phenolic, flavonoid, and carotenoid contents were evaluated. The methanolic extracts demonstrated the highest antioxidant capacity, measuring 7.72 and 93.80 mu mol trolox equivalents g-1 dry weight (DW) according to the DPPH and FRAP assays, respectively. To further characterize the biochemical profile, reverse phase high-performance chromatography (RP-HPLC) was employed to quantify twelve different phenolics, including rutin, gallic acid, benzoic acid, cinnamic acid, and beta-carotene, in the microalgal extracts. Notably, the acetone extracts of Micractinium sp. grown mixotrophically contained a high amount of gallic acid (469.21 +/- 159.74 mu g g-1 DW), while 4-hydroxy benzoic acid (403.93 +/- 20.98 mu g g-1 DW) was the main phenolic compound in the methanolic extracts under heterotrophic cultivation. Moreover, extracts from Micractinium sp. exhibited remarkable cytoprotective activity by effectively inhibiting hydrogen peroxide-induced oxidative stress and cell death in human breast adenocarcinoma (MCF-7) cells. In conclusion, with its diverse biochemical composition and adaptability to different growth regimens, Micractinium sp. emerges as a robust candidate for mass cultivation in nutraceutical and food applications.Correction Antioxidant Activity of Micractinium Sp. (Chlorophyta) Extracts Against H2o2 Induced Oxidative Stress in Human Breast Adenocarcinoma Cells(Nature Portfolio, 2025) Bulut, Onur; Kose, Iskin Engin; Sonmez, Cagla; Oktem, Huseyin AvniArticle Citation - WoS: 1Citation - Scopus: 2Applications of Artificial Intelligence as a Prognostic Tool in the Management of Acute Aortic Syndrome and Aneurysm: A Comprehensive Review(MDPI, 2025) Ayhan, Cagri; Mekhaeil, Marina; Channawi, Rita; Ozcan, Alp Eren; Akargul, Elif; Deger, Atakan; Soliman, OsamaAcute Aortic Syndromes (AAS) and Thoracic Aortic Aneurysm (TAA) remain among the most fatal cardiovascular emergencies, with mortality rising by the hour if diagnosis and treatment are delayed. Despite advances in imaging and surgical techniques, current clinical decision-making still relies heavily on population-based parameters such as maximum aortic diameter, which fail to capture the biological and biomechanical complexity underlying these conditions. In today's data-rich era, where vast clinical, imaging, and biomarker datasets are available, artificial intelligence (AI) has emerged as a powerful tool to process this complexity and enable precision risk prediction. To date, AI has been applied across multiple aspects of aortic disease management, with mortality prediction being the most widely investigated. Machine learning (ML) and deep learning (DL) models-particularly ensemble algorithms and biomarker-integrated approaches-have frequently outperformed traditional clinical tools such as EuroSCORE II and GERAADA. These models provide superior discrimination and interpretability, identifying key drivers of adverse outcomes. However, many studies remain limited by small sample sizes, single-center design, and lack of external validation, all of which constrain their generalizability. Despite these challenges, the consistently strong results highlight AI's growing potential to complement and enhance existing prognostic frameworks. Beyond mortality, AI has expanded the scope of analysis to the structural and biomechanical behavior of the aorta itself. Through integration of imaging, radiomic, and computational modeling data, AI now allows virtual representation of aortic mechanics-enabling prediction of aneurysm growth rate, remodeling after repair, and even rupture risk and location. Such models bridge data-driven learning with mechanistic understanding, creating an opportunity to simulate disease progression in a virtual environment. In addition to mortality and growth-related outcomes, morbidity prediction has become another area of rapid development. AI models have been used to assess a wide range of postoperative complications, including stroke, gastrointestinal bleeding, prolonged hospitalization, reintubation, and paraplegia-showing that predictive applications are limited only by clinical imagination. Among these, acute kidney injury (AKI) has received particular attention, with several robust studies demonstrating high accuracy in early identification of patients at risk for severe renal complications. To translate these promising results into real-world clinical use, future work must focus on large multicenter collaborations, external validation, and adherence to transparent reporting standards such as TRIPOD-AI. Integration of explainable AI frameworks and dynamic, patient-specific modeling-potentially through the development of digital twins-will be essential for achieving real-time clinical applicability. Ultimately, AI holds the potential not only to refine risk prediction but to fundamentally transform how we understand, monitor, and manage patients with AAS and TAA.Article Citation - WoS: 5Citation - Scopus: 5Aptamer decorated PDA@magnetic silica microparticles for bacteria purification(Springer Wien, 2024) Kavruk, Murat; Babaie, Zahra; Kibar, Gunes; Cetin, Barbaros; Yesilkaya, Hasan; Amrani, Yassine; Ozalp, V. CengizOne significant constraint in the advancement of biosensors is the signal-to-noise ratio, which is adversely affected by the presence of interfering factors such as blood in the sample matrix. In the present investigation, a specific aptamer binding was chosen for its affinity, while exhibiting no binding affinity towards non-target bacterial cells. This selective binding property was leveraged to facilitate the production of magnetic microparticles decorated with aptamers. A novel assay was developed to effectively isolate S. pneumoniae from PBS or directly from blood samples using an aptamer with an affinity constant of 72.8 nM. The capture experiments demonstrated efficiencies up to 87% and 66% are achievable for isolating spiked S. pneumoniae in 1 mL PBS and blood samples, respectively.Review Citation - WoS: 35Citation - Scopus: 38Aptamer Hybrid Nanocomplexes as Targeting Components for Antibiotic/Gene Delivery Systems and Diagnostics: a Review(Dove Medical Press Ltd, 2020) Rabiee, Navid; Ahmadi, Sepideh; Arab, Zeynab; Bagherzadeh, Mojtaba; Safarkhani, Moein; Nasseri, Behzad; Tayebi, Lobat; Rabiee, Mohammad; Tahriri, MohammadrezaWith the passage of time and more advanced societies, there is a greater emergence and incidence of disease and necessity for improved treatments. In this respect, nowadays, aptamers, with their better efficiency at diagnosing and treating diseases than antibodies, are at the center of attention. Here, in this review, we first investigate aptamer function in various fields (such as the detection and remedy of pathogens, modification of nanoparticles, antibiotic delivery and gene delivery). Then, we present aptamer-conjugated nanocomplexes as the main and efficient factor in gene delivery. Finally, we focus on the targeted co-delivery of genes and drugs by nanocomplexes, as a new exciting approach for cancer treatment in the decades ahead to meet our growing societal needs.Article Artificial Intelligence Based Resuscitation Simulation: A Pilot Study of a Novel Approach to Team Leadership Training(BMC, 2026) Kanbakan, Altug; Berikol, Goksu Bozdereli; Ilhan, Bugra; Altintas, Emel; Doganay, FatihIntroduction Team leadership training is essential alongside with technical training for effective resuscitation management. Addressing this gap, we developed a novel simulation system leveraging Large Language Models (LLMs) to create Artificial Intelligence (Al) agents simulating team members in Advanced Cardiovascular Life Support (ACLS) scenarios. This pilot study aimed to to develop a novel LLM-based ACLS simulation training platform and evaluate its performance in simulated resuscitation scenarios on established protocols.
Method Using the Claude 3.5 Sonnet API, we designed a simulation system with four Al agents assigned specific roles as healthcare staff within an ACLS team. Each agent strictly followed the 2020 American Heart Association (AHA) ACLS guidelines while interacting with an ACLS certified emergency medicine specialist user. The ten patient scenario transcripts were evaluated with three blinded emergency medicine specialists whether all the recommended steps are completed. Inter-rater reliability was assessed using Kendall's W and Krippendorff's Alpha statistics to evaluate agreement both within raters and the model.
Results Al agents consistently adhered to the AHA 2020 ACIS algorithm across scenarios, with a high inter-rater reliability (Kendall's W > 0.75 ) . Krippendorff's Alpha values for agreement ranged from substantial (0.84) to almost perfect (0.99), indicating robust compliance with guidelines and effective simulation of resuscitation responses.
Conclusion This study highlights the potential of LL.M-powered simulations as an adjunct to traditional resuscitation training. The system effectively supported team leadership training by providing consistent and guideline-compliant responses. While the results are promising, further research with larger participant samples is necessary to evaluate the long-term educational impact and scalability of such systems.Article Citation - WoS: 19Citation - Scopus: 21Assessment of Depression, Anxiety, and Social Support in the Context of Therapeutic Abortion(Wiley, 2019) Topal, Cansu Akdag; Terzioglu, Fusun; Akdag Topal, CansuPurpose The purpose of this study is to determine the levels of anxiety, depression, social support, and nursing care needed by women undergoing therapeutic abortion. Designs and Methods Sixty women were administered a sociodemographic form, the Hospital Anxiety Depression Scale and the Multidimensional Perceived Social Support Scale. Results More than half of the women experienced anxiety (61.7%). Anxiety scores were high (10.8 +/- 3.7), and most of the women had depression (85.0%). Social support from family and friends of the women decreased the women's anxiety and depression levels significantly; social support from their partners also decreased the women's anxiety levels (P < 0.05). Practice Implications Support from family and friends after therapeutic abortion is a fundamental affective variable on anxiety scores.Article Assessment of the Effectiveness of Serum-Infrared Spectroscopy in Conjunction with Multivariate Analysis Methods for Atherosclerosis Diagnosis(Nature Portfolio, 2026) Cevik, Dilek; Telkoparan-Akillilar, Pelin; Yonar, DilekAtherosclerosis is a progressive disease characterized by lipid accumulation and fibrous elements in large and medium-sized arteries, and remains a leading cause of death worldwide. A deeper understanding of its molecular nature is critical for developing novel strategies for the prevention, diagnosis, and treatment. This study evaluates attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy combined with multivariate analysis techniques to differentiate and classify atherosclerosis by identifying disease-specific spectral variations. Spectral analyses indicated statistically significant differences in lipid (p < 0.0001), protein (p < 0.01), nucleic acid (p < 0.0001), and glucose (p < 0.0001) content of serum samples in the atherosclerosis group compared to controls. Patients with atherosclerosis exhibit altered lipid metabolism, marked by a decrease in saturated lipids and an increase in unsaturated lipids compared to healthy individuals. Additionally, elevated levels of protein, RNA, glucose, and conformational changes in DNA were key spectral features, distinguishing atherosclerosis from controls. Principal component analysis (PCA) successfully differentiated patients from controls, while classification models based on linear discriminant analysis (LDA) and support vector machine (SVM) achieved accuracies of 96.61% and 93.22%, respectively. The ability of FTIR spectroscopy to detect subtle biochemical alterations suggests its potential for early diagnosis. These molecular markers may appear prior to clinical symptoms, highlighting the method's potential for future screening, pending validation in at-risk or preclinical cohorts.Article Citation - WoS: 1Citation - Scopus: 1The Association Between Respiratory Functions, Pain Tolerance and Body Awareness in Obstructive Lung Diseases(Elsevier Science Inc, 2025) Vardar-Yagli, Naciye; Saglam, Melda; Firat, Merve; Inal-Ince, Deniz; Calik-Kutukcu, Ebru; Kilic, Kubra; Coplu, LutfiPurpose: There are only a limited number of studies in the literature evaluating body awareness, pain perception, and the relationship between clinical parameters and respiratory functions in patients with obstructive lung disease (OLD) and compared with healthy individuals. Therefore, this study aimed to evaluate respiratory functions, pain tolerance, and body awareness in patients with OLD and compare these findings with those of healthy individuals. Methods: The study included 33 patients and 30 healthy individuals. The respiratory function (spirometer), respiratory muscle strength (mouth pressure device), endurance (threshold loading device), pain level and tolerance (short-form McGill Pain Questionnaire and algometer), posture, and body awareness (Body Awareness Questionnaire-BAQ) were evaluated. Results: The pain threshold and tolerance of the biceps, triceps, trapezius, and quadriceps muscles were significantly lower and BAQ scores were higher in patients with OLD compared with healthy individuals (p < .05). There was a significant relationship between FEV1 (%) and pain tolerance of the triceps (r = 0.371, p = .047) and gastrocnemius muscles (r = 0.419, p = .024); FVC (%) and pain threshold of the gastrocnemius (r = 0.413, p = .023), triceps muscles (r = 0.394, p = .034), and pain tolerance of the gastrocnemius muscle (r = 0.549, p = .002). Conclusions: Patients with OLD have a marked increase in pain perception and body awareness levels and a decrease in pain threshold and tolerance compared with healthy controls. Future studies should assess the effectiveness of pain management interventions as a part of pulmonary rehabilitation for patients with chronic respiratory diseases. Clinical Implications: Pain management is important for planning pulmonary rehabilitation programmes. (c) 2024 American Society for Pain Management Nursing. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.Article Citation - WoS: 41Citation - Scopus: 46The Association of Missed Nursing Care and Determinants of Satisfaction With Current Position for Direct-Care Nurses-An International Study(Wiley, 2020) Bragadottir, Helga; Burmeister, Elizabeth A.; Terzioglu, Fusun; Kalisch, Beatrice J.Aim To describe the association of missed nursing care and to identify the determinants of satisfaction with current position for direct-care nurses. Background Missed nursing care and job satisfaction are important issues regarding quality patient care and safety in health care, globally. Method This was a cross-sectional quantitative study usingMISSCARE Surveydata. Participants were 7,079 nursing staff providing direct patient care in hospitals in Australia, Iceland, Turkey and the USA. Multivariable nested models were used to identify the relationship between missed nursing care and nurses' satisfaction with current position. Results More missed nursing care was associated with less satisfaction with current position. Other determinants of job satisfaction included country, nursing experience, overtime worked, adequacy of staffing and the number of shifts missed during the previous 3 months. Conclusion(s) Internationally, more missed nursing care is associated with less nursing job satisfaction and is influenced by work experience, overtime worked, levels of staffing and absenteeism. Implications for Nursing Management This study identifies that the association between missed nursing care and satisfaction with nursing position is of global concern. Other factors requiring the attention of nurse managers are staffing levels, absenteeism and work experience.Review Citation - WoS: 64Citation - Scopus: 75Atmospheric Pressure Plasma Surface Treatment of Polymers and Influence on Cell Cultivation(Mdpi, 2021) Sasmazel, Hilal Turkoglu; Alazzawi, Marwa; Alsahib, Nabeel Kadim AbidAtmospheric plasma treatment is an effective and economical surface treatment technique. The main advantage of this technique is that the bulk properties of the material remain unchanged while the surface properties and biocompatibility are enhanced. Polymers are used in many biomedical applications; such as implants, because of their variable bulk properties. On the other hand, their surface properties are inadequate which demands certain surface treatments including atmospheric pressure plasma treatment. In biomedical applications, surface treatment is important to promote good cell adhesion, proliferation, and growth. This article aim is to give an overview of different atmospheric pressure plasma treatments of polymer surface, and their influence on cell-material interaction with different cell lines.Article Citation - WoS: 17Citation - Scopus: 20Attachment Style, Openness To Experience, and Social Contact as Predictors of Attitudes Toward Homosexuality(Routledge Journals, Taylor & Francis Ltd, 2020) Metin-Orta, Irem; Metin-Camgoz, SelinConsiderable research has shown that people generally hold more negative attitudes toward homosexuals. Given this fact, it is important to understand psychological and social correlates of homophobia. With this purpose, the present study investigates attachment styles, openness to experience, and social contact in relation to attitudes toward homosexuals. The findings show that being female, having prior contact with homosexuals, and scoring high in openness to experience predict more favorable attitudes toward homosexuals. The supplementary analyses also support the moderating effect of secure attachment on the relationship between openness to experience and attitudes toward homosexuals. The present study not only extends the related research by examining the interactive effects of attachment style and personality trait, but also provides important implications for researchers, educators, or managers in terms of reducing anti-homosexual attitudes in diverse settings.Article Author Correction: Using Urine Ftir Spectra To Screen Autism Spectrum Disorder(Nature Portfolio, 2024) Sarigul, Neslihan; Bozatli, Leyla; Kurultak, Ilhan; Korkmaz, Filiz[No Abstract Available]
