İstanbul Sağlık ve Teknoloji Üniversitesi Kurumsal Akademik Arşivi
DSpace@İSTÜN, Üniversite mensupları tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.

Güncel Gönderiler
Multilevel compartment threshold secret image sharing scheme
(Zhubanov University, 2025) Nabiyev, Vasif; Soleymanzadeh, Katira
Traditional secret sharing schemes assume that all participants within a group or compartment possess equal authority in reconstructing the secret. However, in many real-world applications, such as hierarchical organizational structures or secure multi-party collaborations, this assumption does not hold. To address this limitation, we propose a novel Multilevel Compartment Threshold Secret Image Sharing (MCT-SIS) scheme that introduces hierarchical privileges within each compartment. Our scheme is based on a combination of Tassa’s hierarchical access structure and Ghodosi’s compartment model, and utilizes Birkhoff interpolation and polynomial-based techniques to achieve robust and flexible secret image sharing. Participants are grouped into disjoint compartments, each with multiple levels of access, and the secret image is shared such that it can only be reconstructed when both compartmental and hierarchical threshold conditions are satisfied. The scheme ensures perfect secrecy, lossless reconstruction, and reduced storage overhead. Experimental results validate its feasibility and demonstrate its applicability to environments requiring fine-grained access control, such as collaborative data vaults, medical imaging systems, and secure multi agency operations.
A comprehensive review on the use of artificial intelligence, internet of things, sensors, and green energy in non-invasive agricultural techniques
(FRUCT, 2025) Serdaroğlu, Kemal Çağrı; Tokatlı, Nazlı
Feeding a burgeoning global population amid cli mate change and dwindling resources presents a profound chal lenge for agriculture. This paper examines ”smart agriculture” (Agriculture 4.0) as a pivotal solution, integrating technologies like IoT, AI, and robotics to cultivate data-driven, efficient, and sustainable farming. We emphasize the growing effectiveness of multi-modal data fusion—combining diverse sensor inputs—for improved pest detection, water management, and yield predic tion. A critical shift towards decentralized edge intelligence is also explored, facilitating real-time, on-farm decisions and overcoming connectivity hurdles. While acknowledging that successful implementations are highly context-specific and that synthetic data can address scarcity, we also confront persistent obstacles: high adoption costs, the digital divide, unreliable rural connectivity, and cybersecurity risks. Ultimately, realizing smart agriculture’s full potential—a more resilient and productive global food system—requires sustained investment in affordable sensors, robust and explainable AI, and autonomous robotics to translate data insights into actionable field-level strategies.
ThermoMicrowave-sonication improves the stability and digestive bioaccessibility of phenolic compounds in parsley juice
(Elsevier, 2026) Yıkmış, Seydi; Tokatlı Demirok, Nazan; Duman Altan, Aylin; Paçal, İshak; Türkol, Melikenur; Tokatlı, Nazlı; Paçal, Nurettin; Abdi, Gholamreza; Aadil, Rana Muhammad
These are indications of the effects of ThermoMicrowave Sonication (TMS) on the bioactive compounds of parsley (Petroselinum crispum) juice and their bioaccessibility during in vitro digestion. Total phenolic content (TPC), iron-reducing antioxidant power (FRAP), chlorophyll, and ascorbic acid levels were measured in TMS treated and pasteurized samples. TMS minimized the loss of heat-sensitive proteins and significantly increased the phenolic content and antioxidant structure (p < 0.05). By following simulated oral, gastric, and intestinal digestion, TPC, chlorophyll, and FRAP levels were better in TMS samples than in controls or pasteurized samples. The highest recoverable levels were observed in the intestinal phase, highlighting the role of TMS in supporting functional quality after digestion. Prediction models using linear regression and LASSO showed strong accuracy (R2 > 0.99) for antioxidant capacity. Overall, TMS offers a promising, environmentally friendly, and industrially applicable tool for preserving and ensuring bioaccessibility of bioactive images in parsley juice and valuable information for functional electrical development. Chemical compounds: Gallic acid (PubChem CID:370); flovone (PubChem CID: 10680); vanillic acid (PubChem CID: 8468); rutin (PubChem CID: 5280805); naringin (PubChem CID: 442428); p- coumaric acid (PubChem CID: 637542); o- coumaric acid (PubChem CID: 637540); quercetin (PubChem CD: 5280459); alizarin (PubChem CD: 6293).
Temporal trends and regional variations in hepatocellular carcinoma etiology: A multinational study across Asia
(Springer Nature Link, 2026) Takeuchi, Yasuto; Tateishi, Ryosuke; Obi, Shuntaro; Otsuka, Motoyuki; Mochizuki, Hitoshi; Jazag, Amarsanaa; Yokosuka, Osamu; Ogasawara, Sadahisa; Örmeci, Necati; Sarin, Shiv Kumar; Omata, Masao
Background Hepatocellular carcinoma (HCC) remains a major health burden in Asia. Advances in antiviral therapies are reshaping the etiological landscape of HCC. This study evaluated temporal shifts in HCC etiology across Asian countries and their clinical implications. Methods This multinational study analyzed 6,261 newly diagnosed HCC patients registered in the APASL Hepatology/ Oncology Consortium (A-HOC) from 19 centers across seven Asian countries and regions between 2013 and 2023. Data on demographics, tumor characteristics, etiology, and treatment patterns were collected. Etiologies included hepatitis B virus (HBV), hepatitis C virus (HCV), alcoholic liver disease (ALD), metabolic dysfunction-associated fatty liver disease (MAFLD), MAFLD plus excess alcoholic intake (MAFLD +eAL), autoimmune liver disease, cryptogenic, and others. Temporal trends and regional variations were assessed. Results In many countries, HBV remained predominant (43.3%–69.5%) and relatively stable throughout the period, while HCV showed only modest reductions. In Japan, HCV was the leading cause of HCC (33.1%), with a significant decline over time, accompanied by a rise in MAFLD-related HCC. ALD-related HCC increased in South Korea, and MAFLD-related HCC rose in Turkey. Tumor size and stage at diagnosis varied by etiology and region, affecting treatment strategies. Early stage diagnosis was more frequent in Japan and Taiwan, whereas advanced-stage HCC was common in China and Indonesia. Conclusions Distinct regional patterns and temporal changes in HCC etiology across Asia highlight the need for tailored prevention and surveillance measures. The growing burden of MAFLD-related HCC emphasizes its emerging role in liver cancer development, particularly in regions with declining viral hepatitis.
Metabolik hastalıklara eşlik eden nöropsikiyatrik komorbidite modelleri
(Nobel Tıp Kitabevleri, 2025) Kaya, Gül Büşra; Algül, Sermin; Deniz, Gülnihal; Keskin, Seda
Nöropsikiyatrik komorbiditeler ve metabolik hastalıklar arasında oldukça yakın bir ilgi vardır. Son yıllarda araştırma alanı olarak ve klinikte yoğun ilgi görmektedir. Bu iki konu ile ilgili olarak çeşitli komorbidite modelleri tasarlanıp, geliştirilmiş ve çalışmalara konu olmuştur (1-4). Bu bölümde metabolik hastalıklarla seyreden nöropsikiyatrik komorbidite modellerinin ana başlıkları ve de tayları yer almaktadır.
























