Altınbaş Üniversitesi Kurumsal Akademik Arşivi
DSpace@Altınbaş, Altınbaş Üniversitesi 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 Bioactive Emulgel Formulation of Equisetum telmateia Ehrh. Methanol Extract: Integrating Antioxidant Activity, Skin Enzyme Inhibition, and Permeation Kinetics
(Basel, 2025) Şentürk, Tuğba Buse; Barak, Timur Hakan; Çağlar, Emre Şefik; Saldamlı, Emine; Özdemir Nath, Ebru; Özdemir, Zafer Ömer
Equisetum telmateia Ehrh. (great horsetail) belongs to the Equisetaceae family and its aerial parts have been traditionally used for skin conditions and to achieve healthy and resilient skin, nails, and hair. This study aimed to evaluate the inhibition of skin-related enzymes by, the antioxidant capacity of, and the phytochemical composition of E. telmateia. Additionally, a novel emulgel was formulated from the main methanolic extract and characterized in terms of pH, viscosity, determination of content quantification, textural profile analysis, and spreadability. After the characterization studies, in vitro release and ex vivo permeation and penetration studies were performed. Firstly, the dried aerial parts of E. telmateia were macerated in methanol, followed by partitioning with solvents of increasing polarity: n-hexane, chloroform, ethyl acetate, and n-butanol. Antioxidant activity was assessed using DPPH, FRAP, CUPRAC, and TOAC assays, while enzyme inhibition was analyzed for collagenase, elastase, hyaluronidase, and tyrosinase. LC-MS/MS analysis identified 53 phytochemical compounds. Protocatechuic acid, the main phenolic compound, was quantitatively analyzed in each subfraction by HPTLC. The in vitro release studies showed sustained release of the reference substance (protocatechuic acid) and the kinetic modeling of the release was fitted to the Higuchi model. The ex vivo permeation and penetration studies showed that the formulation exhibited a retention of 3.06 ± 0.21 µg.cm−2 after 24 h, whereas the suspended extract demonstrated a skin retention of 1.28 ± 0.47 µg.cm−2. Both the extracts and the formulated emulgel exhibited inhibitory effects on skin-related enzymes. Our finding suggested that E. telmateia might be a valuable ingredient for wrinkle care and skin-regenerating cosmetics.
Perceived Paternal Acceptance-Rejection as a Mediator of the Association Between Perceived Maternal Acceptance-Rejection and Psychological Adjustment: Effect of Gender
(Turkish Psychological Counseling and Guidance Association, 2025) Olgaç, Duygu; Gürsoy, Burak Emre; Şirvanlı Özen, Dilek
The present study explores the mediating role of perceived paternal acceptance-rejection on the association between perceived maternal acceptance-rejection and psychological adjustment and its gender-related facets among 551 secondary school students aged 11 to 15. Results suggest paternal acceptance-rejection partially mediates this relationship for both genders, impacting positive self-adequacy, emotional responsiveness, and positive worldview. It partially mediates hostility and emotional stability for females and fully mediates for males. However, it does not affect self-esteem for either gender.
A real-time web-based telemedicine framework based on AI and IoMT for emergency triage and initial diagnostics: the TeleMedQuick solution
(Elsevier, 2025) Mohsin, Sura Saad; Salman, Omar H.; Jasim, Abdulrahman Ahmed; Yahya, Marwan Zakariya; Alwindawi, Hajer
Background: Rapid medical decision-making for emergency and chronic conditions remains a global challenge, especially in under-resourced and remote settings. Traditional triage models often rely on narrowly focused algorithms or limited sensor inputs, which can hinder timely diagnosis and treatment.
The goal of this study is to introduce telemedquick: This web-based telemedicine system helps with emergency triage and initial diagnosis by using organised clinical rules based on medical guidelines and approved by doctors.
Methods: TeleMedQuick integrates Internet of Medical Things (IoMT) devices with a rule-based expert inference engine comprising 76,229 clinical rules. These rules were developed through a combination of medical guideline reviews and direct consultations with certified emergency physicians. The system evaluates vital signs, symptoms, demographics, and patient history for conditions such as stroke, diabetes, hypertension, respiratory disorders, and heart attacks.
Results: The system was evaluated on a medically annotated dataset of 750 patients under expert review. It achieved a triage accuracy of 99.1%, confirmed through expert validation and performance metrics, including F1-scores across all urgency levels. Rule design minimises symptom overlap and allows understandable, rapid decisions.
Conclusion: As an expert system, TeleMedQuick bridges the gap between IoMT sensing and clinical reasoning in telemedicine. It enables scalable, real-time triage and initial diagnostic support with validated transparency, making it suitable for prehospital care, especially in low-access or high-demand contexts.
Evaluating the Effectiveness of Graph Convolutional Network for Detection of Healthcare Polypharmacy Side Effects
(Tech Science Press, 2025) Dara, Omer Nabeel; Mohammed, Tareq Abed; Ibrahim, Abdullahi Abdu
Healthcare polypharmacy is routinely used to treat numerous conditions; however, it often leads to unanticipated bad consequences owing to complicated medication interactions. This paper provides a graph convolutional network (GCN)-based model for identifying adverse effects in polypharmacy by integrating pharmaceutical data from electronic health records (EHR). The GCN framework analyzes the complicated links between drugs to forecast the possibility of harmful drug interactions. Experimental assessments reveal that the proposed GCN model surpasses existing machine learning approaches, reaching an accuracy (ACC) of 91%, an area under the receiver operating characteristic curve (AUC) of 0.88, and an F1-score of 0.83. Furthermore, the overall accuracy of the model achieved 98.47%. These findings imply that the GCN model is helpful for monitoring individuals receiving polypharmacy. Future research should concentrate on improving the model and extending datasets for therapeutic applications.
The unseen struggle-depression and associated factors in geriatric cancer patients
(Frontiers Media, 2025) Doğan, Özlem; Şahinli, Hayriye; Yazılıtaş, Doğan; Kantarcı, Selen
Background: The objective of this study was to investigate the frequency of depression and its associations, rather than causal relationships, in patients aged 65 years and older receiving chemotherapy, using the Geriatric Depression Scale (GDS). Methods: This prospective study was conducted between January 2023 and December 2023 at Ankara Etlik City Hospital, including 501 chemotherapy patients aged 65 years and older. Patients receiving only oral therapy, those under palliative care, those with brain metastases, or those with insufficient cognitive functionality were excluded. Demographic and clinical data were collected from medical records. Depression was assessed using the 15-item Yesavage Geriatric Depression Scale (GDS), with scores ≥5 indicating high depression symptoms. Results: Among the 501 patients included in the study, 204 (40.7%) were female, with a median age of 69 years (range: 65–84 years). A total of 214 patients (42.7%) had high depressive symptom scores (GDS ≥ 5). A multivariable logistic regression analysis identified the following as independent predictors of depression: being female (odds ratio (OR): 1.481, 95% confidence interval (CI): 1.011–2.168, p = 0.04), body mass index (BMI) ≥ 21 (OR: 1.665, 95% CI: 1.081–2.564, p = 0.02), higher pain scores (OR: 1.269, 95% CI: 1.122–1.436, p < 0.001), insomnia (OR: 1.626, 95% CI: 1.109–2.384, p = 0.01), and weak social support (OR: 2.004, 95% CI: 1.046–3.839, p = 0.03). Conclusion: Our study highlights the high prevalence of depressive symptoms among geriatric cancer patients. In this population, early diagnosis and management of depression, with particular attention to independent risk factors such as pain and insomnia, as well as strengthening social support mechanisms, may be crucial for enhancing quality of life and improving treatment adherence.
