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High-energy X-ray irradiation-induced functionalization of Ni(OH)₂ for enhanced supercapacitor electrodes
No full textNickel hydroxide (Ni(OH)₂) is a promising electrode material for supercapacitors due to its high theoretical capacitance. However, its practical performance is hindered by limited cycle stability, poor electrical conductivity, and sluggish ion transport. To overcome these limitations, this study introduces a novel strategy involving high-energy X-ray irradiation-induced functionalization to enhance the electrochemical properties of Ni(OH)₂ electrodes. Pristine Ni(OH)₂ was subjected to 15 MV X-ray irradiation at a dose of 10–20 Gy, utilizing Compton scattering to induce controlled surface-level modifications while preserving the bulk crystal structure. Physicochemical characterizations including XRD, Raman spectroscopy, FTIR, and ICP-MS revealed the introduction of new surface functionalities and optimized ion diffusion pathways, without compromising isotopic or crystallographic integrity. Electrochemical performance was evaluated in 1.0 M Na₂SO₄ electrolyte. The irradiated electrode (f-Ni(OH)₂) demonstrated a specific areal capacitance of 671.2 mF·cm⁻² at a scan rate of 1 mV·s⁻¹, marking a 41% improvement over its non-irradiated counterpart (474.7 mF·cm⁻²). Galvanostatic charge-discharge measurements yielded a high capacitance of 1253.5 mF·cm⁻² at 1.0 mA·cm⁻². Electrochemical impedance spectroscopy further confirmed enhanced ion and electron kinetics, with a decrease in solution resistance from 18.4 Ω to 13.0 Ω. Critically, the f-Ni(OH)₂ electrodes retained 99.2% of their initial capacitance after 5,000 continuous cycles, demonstrating exceptional long-term stability. The observed improvements place f-Ni(OH)₂ within the performance range of microsupercapacitor technologies, highlighting their strong potential for future integration into miniaturized energy storage platforms. This work represents the first demonstration of using high-energy X-ray irradiation to functionalize metal hydroxides for energy storage applications, offering a scalable, chemical-free, and cost-effective approach to engineer next-generation supercapacitor electrodes. The findings provide new insights into radiation-matter interactions for material engineering, offering a promising route toward high-performance, long-lifespan energy storage systems
KÜRESEL SORUNLAR KAVRAMLARINA İLİŞKİN SOSYAL BİLGİLER ÖĞRETMEN ADAYLARININ BİLİŞSEL YAPILARI: KELİME İLİŞKİLENDİRME TESTİ
No full textDevelopment, Reliability, and Validity of the Telerehabilitation Usability Questionnairein Neurological Diseases
No full textThe Biotechnological Potential of Baculoviruses: From Insect Viruses to Biotechnology Workhorse
No full textBaculoviruses are a significant group of arthropod viruses that are widely recognized for their potential as biological control agents against pests in agriculture and forestry. The Baculoviridae is a vast family of viruses that primarily infects various species within the Arthropoda phylum, particularly insects. Baculoviruses are widely used not only as biopesticides in agricultural applications but also as efficient tools for recombinant protein production. The Baculovirus Expression Vector System (BEVS) has been shown to be particularly effective for expressing complex or difficult-to-produce proteins in mammalian cells. Owing to its high expression capacity and post-translational modification capabilities, BEVS has been successfully employed in various biotechnological fields, including vaccine development, therapeutic protein production, and the synthesis of enzymes and antibodies.In this review, the BEVS technique, which is one of the significant areas of use of Baculoviruses, is discussed along with its advantages and several of its practical applications.</jats:p
Fotoğraflı mı Fotoğrafsız mı? Tüketici Geri Bildirimlerinin Uzunluğu ile Kullanıcı Derecelendirmeleri Arasındaki İlişkinin Çevrimiçi Restoran Yorumlarında Araştırılması
No full textThe moderating role of victim-related education in social work: examining the relationship between unjust/just-world beliefs and prejudice towards crime victims
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Türkiye’de Yapay Zekâ İle İlgili Lisans Bölümlerinin İçerik Analizi İle İncelenmesi
No full textÖZETYapay zekâ alanındaki yenilikler, neredeyse her sektörde insanlığın geleceğini şekillendirmeye devametmektedir. Yapay zekâ hâlihazırda büyük veri, robotik ve nesnelerin interneti gibi ortaya çıkanteknolojilerin ana itici gücüdür ve üretken yapay zekâ, yapay zekânın olanaklarını ve popülaritesini dahada genişletmiştir. Yapay zekânın eğitime entegrasyonu, akademik öğrenmeyi dönüştürerek öğrencileringelişimi için fırsatlar sunmaktadır. Son yıllarda Türkiye’de yapay zekâ ile ilgili ders ve materyallerinlisans bölümlerine entegre edilmesinin yanı sıra doğrudan yapay zekâ ile ilgili bölümler üniversitelerdeaçılmaya başlanmıştır. Bu gelişmelere paralel olarak bu çalışmada, Türkiye’de yapay zekâ, dijitalleşmeve büyük veri ile ilgili lisans bölümlerinin içerik analizi ile incelenmesi amaçlanmıştır. Çalışmakapsamında YÖK Lisans Atlası verileri kullanılarak 2025 yılı itibariyle Türkiye’deki yapay zekâ ileilgili lisans bölümlerin (yapay zekâ mühendisliği, yapay zekâ ve makine öğrenmesi, yapay zekâ ve verimühendisliği) mevcut durumu değerlendirilmiştir. Bu doğrultuda hangi üniversitelerde yapay zekâ ileilgili bölümlerinin bulunduğu, üniversite statüsü, akademik kadro ve akademisyenlerin uzmanlıkalanları, öğrenci sayıları, eğitime başlanılan yıl, ortalama başarı puanı gibi kriterler bazında incelemeleryapılmıştır. Çalışma sonucunda ilgili paydaşlara çeşitli öneriler sunulmuştur.Anahtar Kelimeler: Yapay Zekâ, Yapay Zekâ Mühendisliği, Veri Mühendisliği, Makine ÖğrenmesiABSTRACTInnovations in artificial intelligence continue to shape humanity's future in almost every sector. Artificialintelligence is currently the main driving force behind emerging technologies such as big data, robotics,and the Internet of Things, and generative artificial intelligence has further expanded the possibilitiesand popularity of artificial intelligence. The integration of artificial intelligence into education istransforming academic learning and providing opportunities for student development. In recent years,in addition to the integration of AI-related courses and materials into undergraduate programs,universities have begun to offer programs directly related to AI. In parallel with these developments,this study aims to examine the content of undergraduate programs related to AI, digitalization, and bigdata in Turkey through content analysis. Within the scope of the study, the current status ofundergraduate programs related to artificial intelligence (artificial intelligence engineering, artificialintelligence and machine learning, artificial intelligence and data engineering) in Turkey as of 2025 wasevaluated using data from the YÖK Undergraduate Atlas. In this context, examinations were conductedbased on criteria such as which universities offer artificial intelligence-related programs, university status, academic staff and faculty members' areas of expertise, student numbers, the year educationbegan, and average grade point average. As a result of the study, various recommendations werepresented to relevant stakeholders.Keywords: Artificial Intelligence, Artificial Intelligence Engineering, Data Engineering, MachineLearning</p