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
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.
Diagnosis of muscle diseases nd the use of functional near infrared spectroscopy (fNIRS)
(Türkiye Klinikleri Yayınevi, 2025) Coşkun, Ebru; Hanoğlu, Lütfü
Muscle diseases are a class of illnesses that share several pathologies and can be brought on by auto immune, metabolic, inflammatory, toxic, or hereditary factors. Investigating the pathophysiological properties of diseases and developing appropriate diagnostic methods are essential for implementing appropriate therapeutic approaches and evaluating treatment effectiveness. Although anamnesis and clinical examination findings are still the most effective way to diagnose muscle diseases in routine practice, methods such as muscle electrophysiology, laboratory tests, and neuroimaging are important, especially for the differential diagnosis of complex muscle diseases. In recent years, another neuroim aging method, functional near-infrared spectroscopy (fNIRS), has begun to assess muscle oxygenation during exercise or rest in healthy and pathological conditions. fNIRS is an optical-based, noninvasive imaging method used to assess oxygenation in many tissues, such as the brain and muscle, since the 1980s. It provides information about the metabolic activity of the tissue through tissue oxygenation. The device sends light in the near-infrared range through the source optode to the tissue to evaluate ox ygenation change. Oxygen-carrying chromophores (hemoglobin and myoglobin, respectively) found in blood and skeletal muscle absorb near-infrared light sent to the tissue. Detector optodes collect the rays reflected back from the tissue, and the concentration change of oxygenated and deoxygenated chromophores in the tissue is determined according to the absorption amount. In recent years, its use in various physiological and pathophysiological conditions has become widespread. It is a promising approach, particularly for diagnosing muscle disorders, comprehending their etiology, and developing effective treatment plans.
