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Exploration of Soliton Solutions for the Kaup-Newell Model Using Two Integration Schemes in Mathematical Physics
No full textThis research deals with the Kaup-Newell model, a class of nonlinear Schr & ouml;dinger equations with important applications in plasma physics and nonlinear optics. Soliton solutions are essential for analyzing nonlinear wave behaviors in different physical systems, and the Kaup-Newell model is also significant in this context. The model's ability to represent subpicosecond pulses makes it a significant tool for the research of nonlinear optics and plasma physics. Overall, the Kaup-Newell model is an important research domain in these areas, with ongoing efforts focused on understanding its various solutions and potential applications. A new version of the generalized exponential rational function method and (G '/G(2))-expansion function method are utilized to discover diverse soliton solutions. The generalized exponential rational function method facilitates the generation of multiple solution types, including singular, shock, singular periodic, exponential, combo trigonometric, and hyperbolic solutions in mixed forms. Thanks to (G '/G(2))-expansion function method, we obtain trigonometric, hyperbolic, and rational solutions. The modulation instability of the proposed model is examined, with numerical simulations complementing the analytical results to provide a better understanding of the solutions' dynamic behavior. These results offer a foundation for future research, making the solutions effective, manageable, and reliable for tackling complex nonlinear problems. The methodologies used in this study are robust, influential, and practicable for diverse nonlinear partial differential equations; to our knowledge, for this equation, these methods of investigation have not been explored before. The accuracy of each solution has been verified using the Maple software program
Türkiye'de Yenilenebilir Enerji Tahmini: Analitik Yaklaşımlar
Get PDFThe growing population and industrialization have resulted in an increased demand for energy, which has worsened environmental problems such as pollution and climate change. Renewable energy sources are considered a promising solution due to their environmental benefits and limited potential. This study examines the use of neural networks and time series analysis to predict electricity generation rates from renewable energy sources in Turkey. We use the LSTM, NNAR, and ELM models, all of which utilize the backpropagation algorithm for neural network forecasting. Additionally, we apply ARIMA, Holt’s trend, linear regression, mean, and exponential smoothing models for time series analysis. We evaluate the performance using the mean absolute error and root mean square error on the training and test data. The study showed that LSTM models outperformed the ARIMA (1,2,1), ARIMA (2,2,1), ARIMA (3,2,1), and NNAR methods in forecasting accuracy. Although the NNAR model initially had the lowest error, its linear predictions made it less suitable for practical applications. This study highlights the effectiveness of neural networks and time series analysis in predicting renewable energy sources. The ARIMA (1,2,1), LSTM and ARIMA (3,2,1) modeling methods are useful for optimizing the planning and management of Turkey's renewable energy future, contributing to a more sustainable energy landscape.Artan nüfus ve sanayileşme, enerji talebinin artmasına neden olmuş, bu da kirlilik ve iklim değişikliği gibi çevre sorunlarını daha da kötüleştirmiştir. Yenilenebilir enerji kaynakları, çevresel faydaları ve sınırsız potansiyelleri nedeniyle ümit verici bir çözüm olarak değerlendirilmektedir. Bu çalışma, Türkiye'de yenilenebilir enerji kaynaklarından elektrik üretim oranlarını tahmin etmek için sinir ağlarının ve zaman serisi analizinin kullanımını incelemektedir. Sinir ağı tahminleri için her ikisi de geri yayılım algoritmasını temel alan LSTM, NNAR ve ELM modellerini kullanıyoruz. Ayrıca zaman serisi analizi için ARIMA, Holt trendi, doğrusal regresyon, ortalama ve üstel düzeltme modellerini kullanıyoruz. Performansı, eğitim ve test verilerinde ortalama mutlak hata ve kök ortalama kare hata kullanarak değerlendiriyoruz. Çalışma, LSTM modellerinin tahmin doğruluğunda ARIMA (1,2,1), ARIMA (2,2,1), ARIMA (3,2,1) ve NNAR yöntemlerinden daha iyi performans gösterdiğini göstermiştir. NNAR modeli başlangıçta en düşük hataya sahip olmasına rağmen doğrusal tahminleri onu pratik uygulamalar için daha az uygun hale getirdi. Çalışma, yenilenebilir enerji kaynaklarının tahmin edilmesinde sinir ağlarının ve zaman serisi analizinin etkinliğini vurguluyor. ARIMA (1,2,1), LSTM ve ARIMA (3,2,1) modelleme yöntemleri, Türkiye'nin yenilenebilir enerji geleceğinin planlanması ve yönetimini optimize etmek ve daha sürdürülebilir bir enerji ortamına katkıda bulunmak için kullanışlıdır
Celiac disease biomarker quantification in human fluid microenvironment: A selective and ultrasensitive magnetosensing immunoplatform
No full textAn innovative magnetosensing strategy for highly sensitive impedimetric determination of anti-tissue transglutaminase antibodies (anti-tTG) was developed and applied successfully in real serum and saliva samples. The transducer surface of the proposed immunosensor consisted of an indium tin electrode (ITO) attached with poly (3-thienylacetic acid) (PTAc)-coated magnetic nanoparticles, which provided a very useful surface for the attachment of the biological molecules. The PTAc-coated magnetic nanoparticles were held by a magnetic field on the electrode surface, and the immunological reaction was carried out on magnetic nanoparticles as a solid platform on which the tissue transglutaminase (tTG) was covalently bound. With the specific capture of anti-tTG on the tTG-immobilized surface, an impedimetric signal was measured, and the electrochemical response of this specific reaction was correlated with the anti-tTG concentration. A linear relationship between the impedimetric signal and the anti-tTG concentration was obtained over a wide range of 0.125-25 U/mL. This magnetobiosensor illustrated a stable quantitative signal to anti-tTG concentrations after 45 minutes of incubation with a limit of detection of 0.034 U/mL and a low relative standard deviation (RSD) of 3.61 %, n = 3. This immunosensor's electrochemical behaviour was thoroughly examined, with consideration given to factors including sensitivity, specificity, repeatability, reproducibility, and storage stability. Lastly, serum and saliva samples were analyzed using the biosensor, and excellent correlation was achieved between the commercial ELISA kit and the proposed immunosensor. As a result, this approach held out a lot of hope for a straightforward, affordable, and user-friendly analytical technique that would enable the label-free measurement of anti-tTG levels.Scientific and Technological Research Council of Tekirdag Namimath;k Kemal University within the BAP project [NKUBAP.00.GA.23.465]The authors gratefully acknowledge funding from the Scientific and Technological Research Council of Tekirdag Nam & imath;k Kemal University within the BAP project (project number: NKUBAP.00.GA.23.465)
New Analytical Wave Structures for the (2+1)-Dimensional Chaffee-Infante Equation
No full textThe focus of this paper is the (2+1)-dimensional Chaffee-Infante equation (CIE). The model describes the diffusion of a gas in a homogeneous medium, which makes it an important tool in the research of mathematics and physics. The modified extended Tanh expansion method is employed. Many soliton solutions have been obtained by rigorous analysis and calculation. This method can generate various types of solutions including trigonometric, trigonometric-hyperbolic, rational, kink, singular, and periodic singular solitons. We also present some of the obtained solutions' 3D, contour, and 2D plots. In order to tackle complex nonlinear issues, the solutions are dependable, efficient, and manageable, and the generated results provide a basis for further research. The study's method used in this paper is characterised by its ability to generate simple, reliable and original solutions to nonlinear partial differential equations (NLPDEs) in mathematical physics. To the best of our knowledge, no such work has been done before for this problem. The Maple software has been used to check the correctness of each solution found
The green growth-CO2 emissions link in G7 countries: the role of energy productivity
No full textIn recent years, a significant part of the literature has argued that green growth is an important dynamic that can be used to combat CO2 emissions. An important feature of the G7 countries is that they perform well in green growth indicators. Therefore, whether G7 countries can benefit from green growth for the carbon neutrality goals emerges as an important research topic. The study analyzes the green growth-CO2 emissions relationship for the G7 countries over the period 1990-2019 and considers the role of energy productivity. The study also integrates fixed capital, trade openness and ICT as other explanatory variables in the CO2 emissions model. The empirical analyses are performed by advanced panel techniques such as the Westerlund cointegration test, AMG and Driscoll-Kraay estimators, Dumitrescu-Hurlin panel causality test. The findings reveals a long-run link among the variables. Green growth and energy productivity mitigate CO2 emissions while fixed capital, trade openness and ICT boost it. Bi-direcational cauasality is running between CO2 emissions and explantory variables. The findings recommend that policy makers of G7 countries should take steps to accelerate green growth and energy productivity performance in the fight against environmental pollution
Assessing the potential of rainwater harvesting and reuse for sustainable university campus
No full textWater resource management, one of the paradigms for creating sustainable universities, ensures that universities manage the quantity of water used and maintain the quality. Water resource management models that begin with campus priority create input for cities at a higher scale. Water resource management encompasses a variety of sustainable practices. One of the most applicable is the reuse of rainwater. The study aims to propose site-specific solutions for reusing harvested rainwater and contribute to nature and the water cycle. In the study, the Rational Method was used to calculate the amount of rainwater. Hardscape (roads, parking lots), landscaped areas (landscaped and wooded areas) and roofing materials within the campus were determined and the amount of rainwater was calculated for each material. In a year, the total water consumption was calculated at 54,773,000 liters. The valuable volume of annual rainwater is 296,400,000. It can be seen that a volume that is approximately 5 times the amount of water required is achieved
Management and results of cervical cancers followed in our clinic
No full textServiks kanseri dünyada en sık, Türkiye'de ise üçüncü en sık görülen jinekolojik malignitedir. Serviks kanserinde prognostik faktörler arasında; evre, histolojik tip, histolojik derece, tümör boyutu, derin stromal invazyon, lenfovasküler invazyon (LVSI), parametriyum tutulumu ve lenf nodu metastazı (LNM) yer alır. Ancak, hastalığın evresi en önemli prognostik faktördür. Çalışmamızda Haziran 2018 Mayıs 2023 tarihleri arasında Tekirdağ Namık Kemal Üniversitesi Hastanesi Kadın Hastalıkları ve Doğum kliniğinde serviks kanseri tanısı alan 59 hastanın klinik dosyaları retrospektif olarak incelendi. Çalışmaya dahil edilme kriterlerine uygun olan hastaların dosyalarından uygulanan cerrahi prosedüredair veriler, klinikopatolojik bulgular, genel ve hastalıksız dönem sağ kalım bilgileri incelenmiş olup sağkalımı etkilediği bilinen evre,lenf nodu metaztazı,tümör markerları, ,tümörün histolojik tipi gibi prognostik faktörler değerlendirilmiştir. Ayrıca bu faktörlerin ve sağkalımın adjuvan ve neoadjuvan tedavi ile ilişkisi araştırılmıştır. Bu çalışmada 2018-2023 yılları arası kliniğimizde takibi ve tedavisi gerçekleştirilen serviks kanseri tanılı hastalar dahil edilmiştir.Hastalarımızda evre,pelvik ve paraaortik lenf modu tutulumu olması , ca19,9 yüksekliği,neoadjuvan kemoterapi,radyoterapi ve brakiterapi alan ve almayan hastaların sağkalım arasında istatistiksel anlamlı ilişki tespit edilmiştir.Tümör çapı,lenfovasküler inzvazyon,adjuvan kemoterapi adjuvan brakiterapi ve adjuvan radyoterapi tedavisi uygulanmasının sağkalım ve nüksle anlamlı ilişkisi saptanmamıştır.Cervical cancer is the most common gynecological malignancy worldwide and the third most common in Turkey. Prognostic factors in cervical cancer include stage, histological type, histological grade, tumor size, depth of stromal invasion, lymphovascular invasion (LVSI), parametrial involvement, and lymph node metastasis (LNM). However, the stage of the disease is the most important prognostic factor. In our study, the clinical records of 59 patients diagnosed with cervical cancer at the Department of Obstetrics and Gynecology, Tekirdağ Namık Kemal University Hospital, between June 2018 and May 2023, were retrospectively reviewed. Data related to the surgical procedures performed, clinicopathological findings, overall survival, and disease-free survival information were examined from the files of patients who met the inclusion criteria. Prognostic factors known to affect survival, such as stage, lymph node metastasis, tumor markers, and histological type of the tumor, were evaluated. Additionally, the relationship between these factors and survival with adjuvant and neoadjuvant therapy was investigated. In this study, patients diagnosed with cervical cancer who were followed up and treated in our clinic between 2018 and 2023 were included. A statistically significant relationship was found between survival and factors such as stage, pelvic and para-aortic lymph node involvement, elevated CA19-9 levels, and whether patients received neoadjuvant chemotherapy, radiotherapy, and brachytherapy. However, no significant relationship was found between survival and recurrence with factors such as tumor size, lymphovascular invasion, and the application of adjuvant chemotherapy, adjuvant brachytherapy, and adjuvant radiotherapy
Evaluation of care burden of family members providing informal care to patients receiving palliative care in the context of gender perception
No full textBu çalışma, palyatif bakım alan hastalara informal bakım veren aile üyelerinin toplumsal cinsiyet algı düzeylerinin bakım yüklerine olan etkisini değerlendirmek amacıyla gerçekleştirilmiştir. Araştırmada, toplumsal cinsiyet algısı başta olmak üzere hasta bakım verenlerin, bakım yüklerine etki eden faktörleri incelenmiş, aile bireylerinin bu süreçte üstlendikleri roller ve bu yüklerini arttıran ve azaltan faktörler korelasyon matris analizinde etki değerleri ile birlikte sunulmuştur. Çalışma kapsamında, bakım verenlerin sosyo-demografik özellikleri, toplumsal cinsiyet algı düzeyleri ve bu düzeyin bakım yükleri üzerindeki etkileri detaylı bir şekilde analiz edilmiştir. Araştırmada nitel araştırma yöntemi kullanılmış ve veri toplama sürecinde yüz yüze görüşme tekniği uygulanmıştır. Verilerin istatistik analizleri yapılmıştır. Araştırma bulguları, toplumsal cinsiyet algı düzeyleri arttıkça bakım verenlerin bakım yükünün azaldığı saptanmıştır. Ailelerde kadınların bu süreçte daha fazla sorumluluk üstlendiği, soy dış aile üyelerinden en fazla gelinlerin bu süreçte etkili olduğu saptanmıştır. Bakım verenlerin eğitim seviyesi, gelir düzeyi arttıkça bakım yükünün arttığı tespit edilmiştir. Sonuç olarak, toplumsal cinsiyet algısının informal bakım süreçlerini şekillendirdiği ve bu durumun aile bireylerinin bakım verme deneyimlerini doğrudan etkilediği görülmektedir. Çalışma, palyatif bakım süreçlerinde bakım verenlerin desteklenmesinin ve toplumsal cinsiyet eşitliği bağlamında farkındalık yaratılmasının önemine dikkat çekmektedir.This study aims to evaluate the impact of the gender perception levels of family members providing informal care to palliative care patients on their caregiving burden. The research examines the factors influencing caregivers' burden, with a particular focus on gender perception, and presents the roles undertaken by family members during this process, along with the factors that increase or reduce their burden, using correlation matrix analysis. The study comprehensively analyzes caregivers' socio-demographic characteristics, gender perception levels, and the effects of these levels on their caregiving burden. A qualitative research method was employed, and data were collected through face-to-face interviews. Statistical analyses of the data were conducted. The findings indicate that as caregivers' gender perception levels increase, their caregiving burden decreases. It was observed that women in families assume greater responsibilities during this process, with daughters-in-law from extended families being the most involved. Additionally, higher levels of education and income among caregivers were associated with an increased caregiving burden. In conclusion, gender perception significantly shapes informal caregiving processes, directly influencing the caregiving experiences of family members. The study highlights the importance of supporting caregivers in palliative care settings and raising awareness about gender equality in this context
Galectin-3 level in idiopathic pulmonary fibrosis patients and its relationship with response to antifibrotic treatment
No full textObject: Idiopathic pulmonary fibrosis (IPF) is a chronic lung disease with characterized by progressive fibrosis. Galectin-3(Gal-3) is a B-galactoside binding lectin plays a central role in inflammation and fibrosis. In our study, we aimed to define levels of serum galectin-3 protein in IPF patients by comparing them with healthy subjects. We also aimed to show that galectin-3 concentrations can be used as a diagnostic and prognostic biomarker in the serum of IPF patients and that the use of galectin-3 inhibitors in combination with antifibrotic treatments may be useful in the therapeutic management of fibrosis. Methods: 44 patients with IPF and 35 control patients who were followed up in our outpatient clinic between 2016 and 2022 were evaluated, anamnesis, spirometric measurements and galectin-3 results were recorded. Patients were grouped according to their antifibrotic treatment. Results: The mean galectin-3 level in the patient group was 8.4 ng/ml and in the control group was 8.2 ng/ml. Serum levels were 8.9 ng/ml in pirfenidone users and 8.2 ng/ml in nintedanib users. Gal-3 was found to be higher in patients taking pirfenidone compared to nintedanib, but there was no statistically significant difference (p > 0.05). Conclusion: Galectin-3 levels were found to be slightly higher in IPF patients compared to healthy subjects. In addition, gal-3 levels decreased as the follow-up period increased in IPF patients in our study. Considering that the patients were receiving pirfenidone or nintedanib treatment during the follow-up period, it may be possible that galectin-3 levels decreased as exposure to these drugs increased. Further studies are needed to clarify these mechanisms
The Effects of Perceptions of Economic Sustainability and Barriers on Organic Farming Implementation
Get PDFThis study proposes an analysis of the impact of farmers ' demographic characteristics and their perceptions of economic sustainability and barriers on organic farming implementation in Turkey's Thrace region. Using a mixed-methods approach, data were collected from 400 farmers through surveys and analyzed using SPSS v27 The findings revealed that age, education level, land ownership, and organic farming training were significant predictors of adoption. Perceptions of economic sustainability positively influenced adoption, while perceptions of barriers had a negative effect. The qualitative findings identified certification costs, insufficient credit opportunities, and difficulties in accessing organic inputs as the most common challenges faced by farmers. The most requested forms of support included product purchase guarantees, financial aid during certification, and fertilizer-pesticide subsidies. This study provides a foundation for developing policies and programs to promote organic farming in Turkey, contributing to the country's sustainable agriculture goals