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Critical Processes for Stability Enhancement of Phyto-ingredients: A Comprehensive Review.
No full textDeveloping Deep Learning Models for Turkish Automatic Punctuation Restoration Using a Novel Dataset
No full textToday, automatic speech recognition systems are widely used by individuals, institutions, and organizations. However, the lack of punctuation marks in the texts produced by these systems complicates the comprehensibility of the texts and hinders advanced text analysis. Consequently, there is an increasing need for automatic punctuation restoration models. A review of existing studies reveals that most research focuses on the English language, while languages like Turkish, which belong to the agglutinative language group, have been relatively underexplored. In this study, a unique dataset has been created for Turkish automatic punctuation restoration. Models developed using convolutional neural networks, transformer encoder, and FnetEncoder layers were trained and analyzed with this dataset. The hyper-parameters of the developed models were optimized using Bayesian optimization. The analysis results showed that the best performance was achieved by the transformer encoder-based model with an overall F-score of 90.10%. Additionally, all models were observed to be more successful in predicting periods and spaces compared to commas. This study contributes to the literature by focusing on the Turkish language and offers a novel approach to automatic punctuation restoration with the creation of a new dataset and the developed models.</p
12. YÜZYILA KADAR İSLÂM LİTERATÜRÜNDE İLİMLERİN TASNİFİ VE MUSİKÎNİN BU TASNİFTEKİ KONUMU
No full textWitnessing memories that are being destroyed: Challenges and staff support in psychosocial support services after the 2023 Kahramanmaraş earthquakes
No full text
The Impact of Green Bonds and Energy Use on Carbon Dioxide Emissions: Evidence from 17 Financially Developed Countries (2014–2023)
No full textThis study investigates how green bond issuance, energy use, renewable energy, and economic growth relate to per capita CO2 emissions in 17 financially developed countries that are active in green bond markets over the period 2014–2023. We construct an annual panel for Australia, Austria, Canada, Mainland China, Finland, France, Germany, Italy, Japan, Luxembourg, New Zealand, Norway, Spain, Sweden, the United Kingdom, and the United States, and apply panel-corrected standard errors (PCSEs) together with Method of Moments Quantile Regression (MMQR). Diagnostic tests based on Pesaran’s CIPS unit root and Westerlund’s cointegration procedures indicate that the variables are I(1) and cointegrated, while Pesaran-type dependence and slope heterogeneity tests justify the use of robust panel methods. The PCSE results show that total energy consumption is the strongest factor associated with higher emissions, renewable energy consumption is consistently associated with lower emissions, economic growth is positively linked to emissions, and green bond issuance is associated with lower emissions, although the magnitude of this relationship is modest. MMQR estimates reveal that these relationships are heterogeneous across the CO2 distribution. Green bonds are associated with lower emissions only in low-emission country–years, while this association becomes statistically weak at higher quantiles. Renewable energy is linked to lower emissions across all quantiles, with stronger associations in the lower part of the distribution, and the growth–emissions relationship weakens at the top, consistent with an Environmental Kuznets Curve pattern. These findings suggest that expanding renewables and improving the carbon content of energy use remain central for decarbonization, while green bonds may support emission reductions, particularly in cleaner, institutionally advanced economies
Mentha Longifolia And Docetaxel Combined In Colorectal Cancer Cells The Effect of Treatment on DNA Repair Mechanism
No full textComputational evaluation of cymenes: substituent group effect, pharmacokinetics, and drug-likeness
No full textIn this work, the p-cymene (CYM) and its less common isomers, ortho-and meta-cymene (OCYM and MCYM), were investigated using in silico tools to predict and elucidate the physicochemical, electronic, and pharmacokinetic properties, which would be helpful in early-stage drug-design. First, the –CH3,-NH2, and-C≡N functionalized cymenes were optimized and verified using frequency computations, at B3LYP/6-311 G** level. Then, lipophilicity, water solubility, pharmacokinetics, and drug-likeness scores of the compounds were evaluated in light of the in silico computations. FMO and MEP analyses of the dataset were performed to depict the possible reactivity directions and sites
OLGULARLA PEKTUS DEFORMİTELERİNE YAKLAŞIM
No full textPektus ekskavatum (PE), sternumun manubriumdan ksifoide kadar uzanan içe doğru çöküklüğü ile karakterize, en yaygın göğüs duvarı deformitesidir. Halk arasında “kunduracı göğsü” olarak da bilinir. Tüm göğüs duvarı deformitelerinin yaklaşık %90’ını oluşturur ve canlı doğumlarda 400-1000’de 1 görülme sıklığına sahiptir. Erkeklerde kadınlara göre üç-beş kat daha sık görülür. Çoğunlukla sporadik olmakla birlikte, Marfan sendromu ve Ehlers-Danlos sendromu gibi bağ dokusu hastalıklarıyla ilişkili olabilir. Tarihsel olarak PE, ilk kez 16. yüzyılda tanımlanmış. Etyolojisi tam olarak aydınlatılamamış olmakla birlikte, vakaların %43’ünde ailevi bir yatkınlık gözlenir. Tedavi edilmeyen PE’nin doğal seyri incelendiğinde, bebeklik sonrası kendiliğinden düzelme nadirdir ve ergenlik döneminde hızlı büyümeye bağlı olarak deformitenin kötüleşme eğilimi vardır. PE hayatı tehdit eden bir durum olmasa da özellikle ergenlerde belirgin kozmetik kaygılara ve psikolojik sıkıntılara yol açabilir. Egzersiz intoleransı, göğüs ağrısı, fiziksel kondisyonda azalma ve nefes darlığı sık görülen semptomlardır. Mitral kapak prolapsusu, skolyoz ve postür bozuklukları gibi eşlik eden durumlar da sıklıkla gözlenir. Tedavi çoğunlukla kozmetik kaygılar nedeniyle yapılır, ancak cerrahi düzeltme sonrası kardiyopulmoner fonksiyonlarda iyileşme olduğunu gösteren çalışmalar mevcuttur. Cerrahi müdahale hem fiziksel hem de psikolojik iyilik halini iyileştirmek amacıyla düşünülebilir, çünkü tedavi edilmeyen PE, ergenlerde sosyal damgalanma ve mental sağlık sorunlarına yol açabilir. Sonuç olarak, PE kozmetik ve psikolojik etkileri olan karmaşık bir durumdur. Kardiyopulmoner fonksiyonların ve postür bozukluklarının kapsamlı bir şekilde değerlendirilmesi, uygun tedavi yaklaşımının belirlenmesi açısından büyük önem taşır.</p
Development and characterisation of magnetic functionalised Dowex resin for efficient removal of some Remazol group textile dyes from wastewater
No full textThis study explores the development and application of a novel magnetic anion exchange resin (DowFeO) for the effective removal of three textile anionic dyes: Remazol Turquoise Blue G-133 (RTB), Remazol Navy RGB 150% (RN), and Remazol Ultra Yellow RGBN (RUY). DowFeO was synthesised by modifying Dowex 1x16, a strong base anion exchange polymeric resin, with nano-Fe₃O₄ particles using the co-precipitation method, enhancing its magnetic properties for easy separation after dye adsorption. The characterisation of DowFeO was performed using FT-IR, SEM-EDX, XRD, and BET analyses, confirming successful Fe₃O₄ loading and the existence of functional groups contributing to dye adsorption. The specific surface area was found to be 25.05 m2 g−1, BJH adsorption average pore width was 8.46 nm, and the single point desorption total pore volume of pores was 0.0592 cm3 g−1. Batch adsorption experiments were conducted to optimise analytical parameters, including pH, temperature, adsorbent amount, extraction time, and ionic strength. The adsorption capacities (qm) were determined as 35.71 mg g−1 for RTB, 38.76 mg g−1 for RN, and 34.01 mg g−1 for RUY under optimal conditions. The limits of detection (LOD) and quantification (LOQ) were found to be 0.32 mg L−1 and 0.99 mg L−1 for RTB, 0.10 mg L−1 and 0.30 mg L−1 for RN, and 0.16 mg L−1 and 0.48 mg L−1 for RUY, respectively. DowFeO demonstrated high removal efficiencies (>99%) across various real water samples, including tap, urban, and geothermal wastewater. Adsorption isotherms and kinetic models were applied, with the Langmuir model best describing the adsorption behaviour, indicating monolayer adsorption. The correlation values in pseudo-second order (PSO) for the three different dyes are bigger than 0.99, which makes it the best kinetic model. The resin exhibited excellent reusability for multiple cycles, particularly for RTB and RN dyes. The results suggest that DowFeO is a promising adsorbent for anionic dye removal in wastewater treatment, offering efficient dye retention and reusability