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 randomized controlled trial of internet-based cognitive behavioral therapy (iCBT) and EMDR-flash technique (iEMDR-FT) for improving mental health in breast cancer patients
(Springer Nature Link, 2025) Savaş, Esra; Gündoğmuş, İbrahim; Kınık, Çiğdem; Kubilay, Derin; Kavakçı, Önder; Yaşar, Alişan Burak
This study aims to compare the effectiveness of internet-based Cognitive Behavioral Therapy (iCBT) and internet-based Eye Movement Desensitization and Reprocessing (EMDR) Flash Technique (iEMDR-FT) in reducing fear of cancer recur rence, traumatic stress, anxiety, depression, and increasing the quality of life among patients diagnosed with breast cancer. A randomized controlled trial was conducted with a sample of patients, equally divided into two treatment groups. The iCBT program was administered over 7 weeks, while the iEMDR-FT was delivered in three sessions in three days. The participants were given a sociodemographic data form, Posttraumatic Stress Disorder Control List DSM-5 (PCL-5), Fear of Cancer Recurrence Scale, Depression-Anxiety-Stress 21 scale (DASS-21), and World Health Organization Quality of Life Scale Short Form. Participants were assessed before, immediately after, and three months post-intervention. The mean age of the participants was 43.79 (7.45) years. In comparing the two groups, a statistical difference was found only in the age variable (p=0.025). As a result, there was no significant difference between the two groups when sociodemographic and cancer-related ratings were compared (p>0.05). It was determined that the change in iEMDR-FT scores in all scales was not statistically significantly different compared to the iCBT group (p>0.05). Initial analysis indicates that both iCBT and iEMDR-FT resulted in notable decreases in traumatic stress, fear of cancer recurrence, anxiety, and depression among breast cancer patients. However, this therapeutic improvement is similar in both applications. This result supports the argu ment that two methods with similar effectiveness can be used as alternatives to each other in treatment.
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.
