İstanbul Sağlık ve Teknoloji Üniversitesi Kurumsal Akademik Arşivi
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Are informations of subperiosteal implant procedure on youtube really useful?
No full textBackground/Aim: Subperiosteal implant is a type of implant preferred in oral implantology in cases with severe bone deficiency where intraosseous implant application cannot be performed. We evaluated the accuracy of the information by examining YouTube videos containing information on this subject. Material and Methods: In the YouTube video search conducted with the keywords ‘Subperiosteal dental implant’, the first 200 videos were watched and evaluated. 118 videos that didn’t meet the analysis criteria were excluded from evaluation and the remaining 82 videos were analyzed. The usefulness scores of all analyzed videos were determined as ‘poor’, ‘moderate’ and ‘excellent’ according to their information content. For statistical analysis, the Kruskal Wallis and Phi tests were used and the significance coefficient was determined as p<0.05. Results: According to the information content of the videos, the usefulness scores were numbered as poor(0), moderate(1), excellent(2) and the average was found to be 0.51. When the usefulness scores of the videos and their demographic information were compared, it was found that there was a significant difference between the video duration (p=0.002), the number of views (p=0.006) and the number of likes (p=0.003). There is a significant difference between the viewing rate of the videos (p=0.044) according to their usefulness scores. It can be stated that video types differ depending on the target audience (p=0.003). Conclusions: Among the YouTube videos examined, those uploaded by health professionals and health companies have a high educational quality and a high viewing rate. However, the number of such videos aimed at informing patients should be increased.Key words: Dental implant, subperiosteal implant, dental prosthesis, social media
Development and validation of an HPLC method for quantification of solifenacin in spiked human breast milk
No full textAn efficient and reliable reversed phase high performance liquid chromatography (HPLC) method was established and validated for the quantitative analysis of solifenacin succinate in fortified human breast milk samples. Chromatographic separation was carried out on a C18 column (150 × 4.6 mm, 5 μm particle size) and a isocratic mobile phase composed of acetonitrile and phosphate buffer (pH 3.5) in a 65:35 (v/v) ratio. The flow rate was at 1.1 mL/min, and detection was performed at 225 nm using a ultraviolet (UV) detector. The method exhibited excellent linearity in the range of 1.0 to 40.0 ng/mL (r² = 0.9999). The validation process was performed in accordance with European Medicines Agency (EMA) bioanalytical guidelines, and included selectivity, accuracy, precision, sensitivity, recovery, robustness, and stability assessments. The liquid-liquid extraction (LLE) procedure used for sample pretreatment provided satisfactory recovery (mean: 99.32 %) and minimized matrix interferences from breast milk. The method showed high reproducibility, did not require an internal standar, and offered a rapid analysis time of approximately 3.4 minutes. This study offers a simple, cost-effective, and sensitive HPLC-UV method for monitoring solifenacin levels in breast milk matrices, providing a valuable tool for evaluating drug safety during lactation
FeSbO4 nanomalzeme destekli katı faz mikroekstraksiyonu kullanarak nikel tayini için duyarlı bir analitik yöntemin geliştirilmesi
No full textBu çalışmada, alevli atomik absorpsiyon spektrometresine entegre edilen katı faz mikroekstraksiyon yöntemiyle nikel (Ni) elementinin ön deriştirilmesi amaçlanmıştır. Katı faz adsorbanı olarak FeSbO₄ kimyasal bileşimine sahip, doğal bir mineral yapı olan tripuhit tercih edilmiştir. Laboratuvar ortamında sentetik olarak elde edilen bu nanoyapılar, sırasıyla ultra saf su ve kekik çayı örnekleri içerisindeki nikel iyonlarını yüzeylerine adsorplayarak ekstraksiyon işlemi için kullanılmıştır
Yapay zeka destekli tıbbi görüntü analizi ve sağlık sistemi entegrasyonu
No full textThe integration of artificial intelligence (AI) in medical image analysis and healthcare systems is transforming modern medicine by enhancing diagnostic accuracy and reducing the burden on healthcare providers. Previous studies have demonstrated the potential of AI in medical imaging, yet there remains a need for comprehensive systems that seamlessly integrate Al-driven analysis with user-friendly healthcare platforms. This research aims to address this gap by developing a web-based health management system that facilitates online appointment scheduling and AI-assisted analysis of medical images and laboratory results. Utilizing a hybrid architecture, the system employs .NET for orchestration, Python microservices for data processing, and OpenAI's GPT for natural language interaction. The study involved testing the system with simulated data, achieving over 92% accuracy in radiological image analysis, and receiving positive feedback from users regarding its interface and functionality. These findings suggest that the system not only enhances diagnostic processes but also improves patient engagement and decision-making. The research contributes to the field by offering a novel, integrated platform that bridges the gap between technical data and patient understanding, with implications for future developments in digital health solutions. The system's design and successful implementation highlight its potential for real-world application, paving the way for further validation with clinical data and expansion into mobile platforms.Yapay zekanın tıbbi görüntü analizi ve sağlık sistemlerine entegrasyonu, modern tıbbı dönüştürerek tanı doğruluğunu artırmakta ve sağlık hizmeti sağlayıcılarının üzerindeki yükü azaltmaktadır. Önceki çalışmalar, yapay zekanın tıbbi görüntülemede sahip olduğu potansiyeli ortaya koymuştur; ancak, yapay zeka destekli analizlerin kullanıcı dostu ve sağlık platformlarına sorunsuz biçimde entegrasyonunu içeren kapsamlı sistemlere olan ihtiyaç hâlâ devam etmektedir. Bu araştırma, bu doğrultuda yeni bir yaklaşım sunarak, hasta randevu planlamasını ve tıbbi görüntülerin ve laboratuvar sonuçlarının yapay zeka destekli analizlerini mümkün kılan web tabanlı bir sağlık yönetim sistemi geliştirmektedir. Hibrit bir mimari kullanan sistem; orkestrasyon için .Net, veri işleme için Python mikro hizmetleri ve doğal dil etkileşimi için OpenAI’ın GPT modelini kullanmaktadır. Çalışma kapsamında sistem, simüle edilmiş bir hasta veri seti üzerinde test edilmiş; sağladığı görüntü analizinde %92’nin üzerinde doğruluk oranı elde edilmiş ve kullanıcı arayüzü memnuniyet değerlendirmelerinde yüksek geri bildirimler almıştır. Bu bulgular, sistemin yalnızca tanı destek süreçlerini iyileştirmekle kalmayıp, hasta katılımını ve karar alma süreçlerini de geliştirdiğini göstermektedir. Araştırma, tıbbi görüntü analizi ile sağlık hizmeti akışını buluştuğu kapsamlı, yenilikçi ve entegre bir platform sunarak dijital sağlık ekosistemleri için önemli bir katkı sağlamaktadır. Sistemin özellikleri ve başarımı uygulaması, gerçek dünya klinik ortamlarında kullanılmak üzere gelecekteki çalışmalara yön vermekte olup, klinik verilerle yapılacak ileri düzey entegrasyonlar ve mobil platformlara genişletme için bir temel oluşturmaktadır
Log-Harmonic mappings associated with the sine function
No full textIn this paper, we define new subclasses STlh(s) and CSTlh(s) of sine starlike log-harmonic mappings and sine close-to-starlike log-harmonic mappings, respectively, defined in the open unit disc D. We investigate representation theorem and integral representation theorem for functions in the class STlh(s). Further, we determine radius of starlikeness for functions in the classes STlh(s) and CSTlh(s)
CXCR1 gene SNP variability that affects mastitis resistance in Holstein cows in Türkiye
No full textGenotyping 16 SNPs of C-X-C motif chemokine receptor 1 (CXCR1) gene region which affects host resistance against mastitis disease was carried out in Holstein cows raised in Türkiye. In this study, the frequency of the undesirable C allele in the CXCR1 c.771C>G polymorphic region, associated with an incomplete response, was found to be high. Additionally, the genotypes c.1016AA and c.1016GG, which contribute to mastitis resistance, were observed at low frequencies. Several SNP loci in the CXCR1 gene, including c.606G>A, c.678G>A, c.1104G>A, c.1119+6C, c.1119+7A, and c.1119+10, significantly deviated from Hardy-Weinberg equilibrium (HWE) (PA, c.678G>A, and c.1104G>A suggest strong selection pressures, likely due to artificial selection in Holstein cattle. These variants are synonymous mutations that do not alter the amino acid sequence but may influence protein synthesis through effects on mRNA stability, splicing, or translation efficiency. Furthermore, the absence of heterozygotes at loci c.1119+6C, c.1119+7A, and c.1119+10, which are located on untranslated regions (UTRs), potentially affecting gene expression by regulating mRNA stability, localization, or translation initiation, points to genetic drift or population substructure. These findings are important for understanding genetic variability and can inform marker-assisted selection programs to enhance breeding strategies while preserving genetic diversity for traits like disease resistance and milk production.This study was supported by the Manning Foundation under the research and development project (KAP-2018-25), signed between the Istanbul University Rectorate’s Technology Transfer Application and Research Center Directorate and the Manning Foundation
Energy and exergy analysis of a cycle‑skipping strategy in an HCCI engine fueled with natural gas
No full textHomogeneous charge compression ignition (HCCI) engines have attracted considerable interest due to its incorporation of features from both gasoline and diesel engines. In this study, the effects of cycle-skipping strategies on engine perfor mance, efficiency, and emissions in a natural gas-fired HCCI engine were investigated experimentally. Experiments were conducted under constant engine speed, at 25, 50, and 75% load levels, in the Normal, 3 Normal-1 Skip (3N1S), 2 Normal-1 Skip (2N1S), and 1 Normal-1 Skip (1N1S) cycle modes. Emissions, fuel consumption, energy–exergy flow, thermal losses, irreversibilities, entropy generation, thermal, and exergy efficiencies were calculated based on the experimental data. Under 50% engine load, the NOx emission in the 3N1S operating mode was measured at 1594 ppm, whereas it increased by 52.5% to 2431 ppm in the 2N1S mode. The correlation between cycle-skipping tactics and thermal efficiency was determined to be contingent upon engine load. In Normal and 3N1S modes, thermal efficiency generally improves with elevated engine loads, while the 2N1S and 1N1S modes provide superior performance at low to medium loads. At a constant 50% load, heat effi ciency in the 2N1S mode increased by 7.84% to reach 28.34% compared to the Normal mode. Additionally, thermodynamic analyses revealed that the 1N1S mode has the lowest entropy generation and the least irreversibility, at 0.021 kW/K. These results demonstrate that cycle-skipping strategies can be an effective tool for optimizing engine performance based on load
Child and adolescent psychiatry consultations during the COVID-19 pandemic
No full textThis study aimed to identify the biopsychosocial stressors influencing child and adolescent mental health during periods when facetoface education was suspended and to evaluate the psychological sequelae of school closures and related restrictions. We conducted a retrospective observational study at Kartal Dr. Lütfi Kırdar City Hospital, a tertiary care center in İstanbul, reviewing all patients referred to the child and adolescent consultation-liaison psychiatry (CLP) unit between March 2020 and March 2022. We assessed associations between psychiatric diagnoses and health-related stressors, school closure status, age, and sex using both frequentist and Bayesian methods. During the study period, 264,013 pediatric admissions were recorded, of whom 270 (0.10%) required psychiatric consultation. The proportions of suicide attempts and anxiety diagnoses did not differ between periods of open and closed schools (BF10 = 0.21 and 0.138, respectively; moderate evidence for the null). Multivariate analysis showed that the odds of suicide attempts were higher in patients exposed to family or schoolrelated stressors (OR = 6.63, 95% CI 2.72–16.19), in females (OR = 8.10, 95% CI 4.16–15.77), and with increasing age (OR = 1.32 per year, 95% CI 1.16–1.50). Female sex (OR = 4.17, 95% CI 2.03–8.55) and older age (OR = 1.30 per year, 95% CI 1.12–1.50) were also associated with depression. Anxiety was more likely in those facing isolation or healthrelated stressors (OR = 3.91, 95% CI 1.66–9.22). These findings highlight the differential impact of stressor type on internalizing symptoms and may inform resource allocation and crisisresponse planning in child mental health services
Synthesis of new piperazine‐oxadiazole derivatives and investigation of their anticancer activities
No full textSince cancer is one of the leading causes of human death, recent research has largely focused on developing multi-target drug designs. In this study, we designed and synthesized a series of piperazine-oxadiazole derivatives as aromatase inhibitors for the treatment of cancer. Their structures were confirmed by 1 C NMR, HRMS and FTIR spectroscopic methods. Cytotoxicity (MTT) was performed to determine the anticancer activity of the compounds as aromatase inhibitors against breast (MCF7), fibroblast (NIH3T3) and lung (A549) cell lines. Letrazol was used as the reference agent, compound 4b exhibited a significant effect among other derivatives with a value of IC H NMR, 50 =2.103±0.088 μ 13 Magainst the MCF7 cell line. Docking study showed that 4b was one of the compounds with the best pose on the aromatase. The docking study showed that 4e was one of the compounds that gave the best pose on EGFR and topoisomerase. When the aromatase, EGFR and topoisomerase docking results were compared, it was concluded that our synthesized compounds may be more effective on the Aromatase macromolecule. From the obtained evaluations of the designed batches, compound 4b appeared to be a promising agent as an aromatase inhibitor for further research and evaluation studies in the future.Anadolu University Faculty of Pharmacy Central Research Laboratory (MERLAB
Safety management system and risk-based approach in aviation maintenance: A systematic literature review
No full textSafety within aviation is defined by the effective management and mitigation of risks associated with aviation activities, encompassing direct aircraft operations and supporting functions. The safety management system (SMS), a holistic approach to proactively managing safety risks, is central to this endeavor. Comprising four integral components—safety policy and objectives, safety risk management, safety assurance, and safety pro motion—the SMS hinges on a systematic risk management process. This study aims to understand the founda tional principles for framing and executing organizational systems harmonized with the SMS and a risk-based approach within the realm of aviation maintenance organizations. Through a detailed literature review, this research discloses a concentrated focus on organizational factors, human factors, and managerial aspects within existing scholarship. Findings underscore the multifaceted nature of ensuring safety in aviation maintenance operations, clarifying the complicated bonds between organizational factors, human factors, and managerial aspects within this specialized context. Finally, we presented the essential characteristics of an SMS-integrated aviation maintenance organization, as derived from our comprehensive literature review