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
Classifying stroke recovery profiles based on living environment: A latent class analysis
(SAGE Publications, 2025) Özgün, Mete; Akanyeti, Otar; Povina, F. Villagra; Rahman, R.; Saybaşılı, Hale; Atalar, Deniz
Background and Aims: Post-stroke recovery is influenced by multiple factors including living environment. While skilled nursing homes may offer more comprehensive care, including physiotherapy, dietary support, and psychological counseling, many family caregivers remain concerned that such settings may lead to loneliness and a sense of abandonment in stroke survivors, which may negatively impact their recovery. This study investigates how different living environments influence functional and psychological outcomes. Methods: A total of 278 stroke survivors living either in their homes or nursing homes in Istanbul,Turkey were assessed. Patient outcomes were evaluated using Stroke Impact Scale, Stroke Specific Quality of Life Scale, Tampa Scale for Kinesiophobia, Geriatric Depression Scale, UCLA Loneliness Scale, and Tinetti Gait and Balance Test. Covariates included age, stroke years, education, medical history, treatments received and caregiver support. Results: Latent Class Analysis identified two distinct patient class, as shown in figure. Class 2 demonstrated significantly better outcomes char acterized by greater independence, improved quality of life, lower depres sion and loneliness scores, reduced kinesiophobia, lower fall risk, healthier exercise routines and sleep quality. While the overall sample included more individuals receiving home care, the class which exhibited better functional and psychological outcomes contained a higher proportion of nursing home residents. Results: Of the 382 patients, 78 were analyzed (31 stable/35 unstable plaques/12 acute occlusions). When analyzing early radiological changes, there was no significant difference between the three studied plaque types (p>0.05), while when monitoring early neurological changes (NIHSS), significant decrease in deficit was noted in stable (p=0.012) and unstable (p<0.001) plaques. A significant decrease in all groups was noted in late clinical changes (mRS, always p<0.001). However, no significant difference was found between studied plaque types and stroke severity (p>0.05) Conclusions: No significant association was found between carotid plaque morphology detected on CT and early/late stroke severity in carotid territory. Patients with stable plaques showed milder events and had better overall 3-month outcome.
Üniversite kütüphanelerinde yeni yaklaşımlar: Yapay zekâ kütüphaneciliği
(Bakı Dövlət Universiteti, 2025) Cihan, Hacı Bayram; Öztürk, Aytuğ
The aim of this study is to examine the changes in the duties and respon sibilities of librarians with the use of artificial intelligence in university libraries and to evaluate the effects of these changes on the librarianship profession. In this context, how artificial intelligence has transformed the librarianship profession, the opportunities and challenges librarians will face in adapting to new technologies, and the skills they need to acquire in this process will be examined. The study covers librarians working in university libraries and artificial intelligence technologies applied in libraries. The design of the research was created using the descriptive analysis method. The effects of artificial intelligence applications in libraries were detailed through the literature review method, academic articles, notifications, books, and websites. The data were examined using thematic analysis method and main themes and sub-themes were determined. The research findings show that generative artificial intelligence applications provide significant changes in data management, user services, and information access processes in libraries. These changes expand the duties of librarians and require them to acquire new skills. In particular, data analytics, machine learning, and digital archive management are among the basic skills of new-generation librarians. As a result, generative artificial intelligence technologies are creating new formations in the librarianship profession. It has been determined that librarians need to constantly renew themselves and adapt to technologies such as artificial intelligence to keep up with rapidly developing technologies. In this process, it has become a critical necessity for librarians to build their continuous learning and adaptation skills.
Flaxseed-based green electrolyte enabling high electrochemical stability for advanced zinc ion batteries
(Wiley, 2026) Arıkan, Yiğit Berke; Kömürcüoğlu, Gökçe; Adhami, Sadaf; Yaman Uzunoğlu, Gülşah; Yüksel, Recep
This study presents a green and sustainable electrolyte derived from flaxseeds (FS) aimed at enhancing the electrochemical stability of zinc-ion batteries (ZIBs), thereby reducing the occurrence of free water molecules and alleviating the hydrogen evolution reaction (HER) that contributes to the development of zinc (Zn) dendrites. The abundant hydroxyl groups present in polysaccharides and phenolic compounds within the flaxseeds coordinate with Zn2+, modifying the solvation sheath and reducing HER activity. Zn//Zn symmetric cells utilizing the FS-based electrolyte exhibited remarkably stable cycling for 3000 h at a current density of 1.0 mA cm−2 (1.0 mAh cm−2) and 2500 h at 2.0 mA cm−2 (2.0 mAh cm−2). Zn//V2O5 full cells delivered a discharge capacity of 233.8 mAh g−1 at 0.2 A g−1 and excellent rate capability across a wide current density range of 0.2–10 A g−1 . The ex situ SEM and XRD results confirmed uniform Zn deposition along the (002) plane without dendrite formation. This work demonstrates a biomass-derived, low-cost electrolyte formulation strategy that effectively stabilizes Zn interfaces, providing a green and efficient pathway for next-generation zinc-ion batteries.
Child mortality in Türkiye
(Zenodo, 2026) Eskiocak, Muzaffer
Tüm halk sağlığı çalışanları kendilerine şu soruyu sormalıdır: Ben bu işi neden yapıyorum? Halk Sağlığının amacı sağlıklılığı korumak ve geliştirmek, sağlığa kavuşturmak, ızdırabı ve endişeyi dindirmektir. Biz başarılı olduğumuz yargısına sıklıkla bebek ölüm hızındaki azalma ve beklenen yaşam süresindeki uzama ile varırız! Ülkemizde bebek ölüm hızı bin canlı doğumda 60,82’den 9,09’a düşürülmüştür. Son yıllarda adeta plato çizmektedir. Bildirilen en düşük değer, 2022’deki binde 8,01’dir. En düşük haliyle bile 1990’da Fransa, Birleşik Krallık, Japonya ve Almanya’dan, 2000’nde bu ülkelere ek olarak Yunanistan’dan daha yüksektir. 2023’te ise bu ülkelerin 1,82 – 5,14 katı arasında fazladır. Bir başka ifade ile ülkemizde başarılan önleme düzeylerine göre binde 4,09 – 7,32 arasında fazladan bebek ölümü olmaktadır. Bebek ölümlerinin bir bölümü önlenememektedir. Ne var ki, önlenebilirlik düzeyini, kimi erişilebilen düzeylerine göre değerlendirmek ve sağlık sistemiyle sınırlı olmayan ödevler yüklenmek zamanıdır. Çocuklara 1990’larda verilen yaşatma sözünü hatırlama ve tutma zamanıdır.
Sahin transvaginal extracorporeal myomectomy as a novel minimally‑invasive technique for the management of uterine myomas: A retrospective cohort analysis
(Medycyna Praktyczna, 2025) Şahin, Turan; Şahin, Eda A.; Şahin, Hanifi
Introduction: Vaginal myomectomy (VM) is a minimally-invasive surgery to remove uterine fibroids; however, limited exposure, difficulties in suturing, and challenges in achieving hemostasis restrict its wider adoption. To address these limitations, the Sahin transvaginal extracorporeal (STVEC) technique was developed, allowing for complete uterine exteriorization for extracorporeal reconstruction. Aim: We aimed to evaluate the safety, feasibility, and perioperative outcomes of the STVEC technique in women undergoing surgery for symptomatic uterine myomas. Materials and methods: This retrospective cohort included 200 consecutive patients who underwent VM using the STVEC technique between February 2021 and October 2024. Demographic characteristics, myoma features according to the International Federation of Gynecology and Obstetrics (FIGO) classification, operative variables, postoperative outcomes, and complications were analyzed. The complications were graded using the Clavien–Dindo system. Conversion to laparotomy was performed when safe continuation of the STVEC approach was not feasible. Results: Mean (SD) age of the study cohort was 39.1 (6.5) years and mean (SD) body mass index was 27.5 (5.8) kg/m². Mean (SD) myoma count was 1.8 (1.4; range: 1–5) and mean (SD) diameter was 6.7 (2.4; range, 5–10) cm. Intramural myomas (FIGO type 2–5) were the most common (55%). Conversion to laparotomy occurred in 8 patients (4%) due to adenomyotic uteri, adhesions, prior vaginal surgery, or altered cervical anatomy. Median (interquartile range [IQR]) hemoglobin decrease was 1.7 g/dl, median (IQR) estimated blood loss was 180 ml, and mean (SD) operative time was 71.9 (19.5) minutes. Blood transfusion was required in 18 patients (9%). Early complications occurred in 7 participants (3.5%), and all were minor. Conclusions: The STVEC technique appears safe and feasible, offering good bleeding control, low complication rates, and rapid recovery. Further multicenter studies are needed to confirm our findings.
