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Exploring Chlorine Doping of Graphene Oxide Synthesized via Chronoamperometry for Enhanced Sodium-Ion Battery Anode Performance
No full textLithium-ion batteries dominate the landscape of electrochemical energy storage, driving research on sodium-ion batteries to focus on enhancing sustainability and cost-effectiveness through the innovation of advanced electrode materials. In this study, chlorine-doped graphene oxide (ClGO) powders were synthesized as an anode Material for sodium-ion batteries using a straightforward one-step chronoamperometric method. The morphology of the as-prepared sample has been investigated by scanning electron microscopy and transmission electron microscopy. XRD shows that the interlayer distance was increased due to chlorine doping, with an averaged spacing around 0.67 nm of the plane (002). The charge/discharge curves show initial specific discharge capacity of 389.7 mAh.g−1 at a current rate of 0.1 C. X-ray photoelectron spectroscopy measurements indicate that the powder surface is covalently doped by C–Cl formation. Doping also led to the formation of Cl-containing oxygenated groups –ClOx, (x = 2, 3, 4). Meanwhile, Raman spectroscopy showed that the synthesized powder had double layers with nanocrystalline domain size (Lα) ~ 49 nm, and the number of sp2 carbon rings was calculated to be ~ 19. The diffusion coefficient for ClGO determined through electrochemical impedance spectroscopy (EIS) and galvanostatic intermittent titration technique (GITT) measurements, was found to range between 10–13 and 10–10 cm2 s−1. Besides, the capacity retention for long-term cycling of 100 cycles at 2C rate was ~ 100%. The results show that this ClGO synthesis method presents a promising approach for developing potential, feasible, and tunable carbon-based anodes for Na-ion batteries
Coğrafi Referanslı Sosyal Medya Verilerinden Doğal Dil İşleme ve Derin Öğrenme Kullanılarak Duygu Analizi
No full textBlanching and osmotic dehydration effects on lyophilized shrimp
No full textShrimp is the most widely consumed seafood worldwide, both as an ingredient in various dishes and as a tasty snack. Like many food products with high moisture content, shrimp are subjected to various drying processes. Among the drying systems, lyophilization is the method that preserves the nutritional values and the unique taste and texture of shrimp the most. In this study, the effects of blanching, blanching in saltwater and saltwater osmotic dehydration pretreatments on the lyophilization of shrimp were investigated. The effective moisture diffusion coefficient was calculated from the data obtained from the drying process and their compatibility with mathematical models was tested. Drying processes were completed between 240 - 360 min. It was observed that drying times could be reduced by blanching and osmotic dehydration pretreatments. In the compatibility with mathematical models, control and blanched samples fitted the Alibas model and osmotic dehydration samples fitted the Midilli & Kucuk model with R2 higher than 0.99999. </p
Cerrahi Sağlık Hizmetlerinde Katastrofik Harcamalara Yol Açan Faktörlerin Analizi
No full textKatastrofik sağlık harcamaları (CEH), hanelerin belirli bir dönemde sağlık hizmetlerini finanse etmek için temel harcamalarını azaltmaları ve bireylerin cepten harcamalarının hanenin harcamalarının veya gelirinin büyük bir kısmını aşması veya karşılaması durumunda ortaya çıkmaktadır. Bu çalışma, CEH düzeyi ile sağlık sisteminin yapısının ve ülkenin gelir düzeyinin temel bir göstergesi olan genel sağlık harcamalarındaki (HE) kamu sağlık harcamalarının payı arasındaki ilişkiyi analiz etmeyi amaçlamaktadır. Çalışma sonucunda satın alma gücü paritesi kullanılarak hesaplanan toplam HE'lerdeki kamu HE'lerinin oranının ve kişi başına düşen gelirin, cerrahi prosedürler için CHE'lerin riski üzerinde istatistiksel olarak anlamlı bir negatif etkiye sahip olduğunu bulunmuştur.Catastrophic health expenditure (CHE) occurs when households reduce their basic expenses to finance health services in a certain period and when individuals' out-of-pocket expenses exceed or cover a large portion of the household's expenditure or income. This study analyzes the relationship between the CHE level and the share of public health expenditures in overall health expenditures(HE), an essential indicator of the health system's structure and the country's income level. The study found that the proportion of public HEs in total HEs and per capita income calculated using purchasing power parity had a statistically significant negative impact on the risk of CHEs for surgical procedures
Sınıf ve Türkçe Öğretmeni Adaylarının Günlük Yaşama İlişkin Dil Farkındalıkları ile Türk Dünyasına Yönelik Tutumları Arasındaki İlişki
No full textAdversarial distractor generation for MCQA: Leveraging in-context learning and rule-based approaches
No full textAdversarial distractor generation strengthens the capability of Multiple Choice Question Answering (MCQA) systems. This study introduces two distinct methods: in-context learning and rule-based techniques, which are designed explicitly for adversarial distractor generation for MCQA datasets. We leverage the LLama-7b model in the in-context learning approach, following a prompt-based strategy for adversarial distractor generation. This methodology is designed to enrich the variety and complexity of the distractors. Besides, this study presents a rule-based approach, mainly focusing on the impact of appending garbage values to the answer options. Via comprehensive experiments, we systematically evaluate the results of two approaches on the T5-Base and RoBERTa-Large across three MCQA datasets. The empirical results demonstrate a constant decrease in performance across all evaluated datasets when utilizing both the in-context learning and rule-based approaches
Molecular Dynamics Simulations and Their Novel Applications in Drug Delivery for Cancer Treatment: A Review
No full textMolecular Dynamics (MD) simulations have emerged as a vital tool in optimizing drug delivery for cancer therapy, offeringdetailed atomic-level insights into the interactions between drugs and their carriers. Unlike traditional experimental methods, which can be resource-intensive and time-consuming, MD simulations provide a more efficient and precise approachto studying drug encapsulation, stability, and release processes. These simulations are essential for designing effective drugcarriers and gaining a deeper understanding of the molecular mechanisms that influence drug behavior in biological systems.Recent research has highlighted the broad applicability of MD simulations in assessing different drug delivery systems, suchas functionalized carbon nanotubes (FCNTs), chitosan-based nanoparticles, metal-organic frameworks (MOFs), and humanserum albumin (HSA). FCNTs are known for their high drug-loading capacity and stability, while biocompatible carrierslike HSA and chitosan are favored for their biodegradability and reduced toxicity. Case studies involving anticancer drugs,including Doxorubicin (DOX), Gemcitabine (GEM), and Paclitaxel (PTX), showcase how MD simulations can improvedrug solubility and optimize controlled release mechanisms. Although the computational complexity of these simulationspresents challenges, advances in high-performance computing and machine learning techniques are driving significantprogress. These innovations are facilitating the development of more targeted and efficient cancer therapies. By combiningMD simulations with experimental validation, researchers are enhancing predictive models and accelerating the creation ofnext-generation drug delivery systems.</p
