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
Numerical investigation of a savonius wind turbine with different blade overlap distances
(IWEC, 2025) Kırlı, Ahmet Özkan; Gürel, Barış; Özdemir, Kadir
This study examines the aerodynamic efficiency of a Savonius-type vertical-axis wind turbine with various blade gap configurations at different wind speeds through numerical methods. Blade gaps of 10 mm and 20 mm were examined at constant inlet wind velocities of 3, 7, and 11 m/s using two-dimensional transient Computational Fluid Dynamics (CFD) models. The numerical studies utilised the standard k–ε turbulence model to minimise computational expenses, employing a time step of 0.002 seconds across a total simulation period of 15 seconds. The findings indicate that the 10 mm blade gap consistently surpasses the 20 mm arrangement across all wind speed conditions. The findings demonstrate that a diminished blade gap markedly enhances flow organisation, torque stability, and energy conversion efficiency, underscoring the promise of optimised Savonius rotor geometries for small-scale and low-wind renewable energy applications.
Use of antidote in poisonings due to xenobiotics taken via inhalation route
(Türkiye Klinikleri Yayınevi, 2025) Gökdağ, Eren; Yılmaz Şahin, Nurdan; Yıldırım, Cuma; Sabak, Mustafa
Industrialization, pesticides, and widespread chemical use have increased the risk of inhalational poisonings. These exposures can cause severe respiratory and systemic effects, yet specific antidotes are not available for all agents. Where available, timely administration of antidotes can be lifesaving. The article reviews antidotes employed in poisonings resulting from inhaled toxic substances, with a focus on their pharmaceutical structures, clinical applications, and adverse effects. Atropine and pralidoxime are used for nerve agents and organophosphate/carbamate poisonings; hydroxocobalamin, sodium nitrite, and thiosulfate for cyanide exposure; naloxone for opioid aerosols; and chelating agents (DMSA, DMPS, BAL, CaNa₂EDTA) for mercury and lead vapors. Conversely, no specific antidote exists for agents such as ammonia, ozone, formaldehyde, methane, and anesthetic gases.
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).
