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
Women’s experiences of breastfeeding during pregnancy: A Turkish descriptive study
(Springer Nature Link, 2025) Bayraktar, Sema; İnce, Zeynep; Yıldız, Nevin; Eski, Nuray; Çoban, Emine Asuman
Background Breastfeeding is generally terminated when the mother becomes pregnant again within two years because there is no clear consensus on how to manage breastfeeding during pregnancy. Additionally, health professionals may not have accurate information about this issue. This study aimed to determine women’s attitudes towards breastfeeding during pregnancy and why they stopped breastfeeding when they became pregnant. Methods This study is a descriptive one, involving pregnant mothers with a breastfeeding infant under 2 years old (n=101). The participants were followed up regarding those who had given birth to a new child and chosen the BDP. The researchers surveyed them after birth. The data were collected using a survey form that included a total of 26 questions created by the researchers, which aligned with the existing literature. Data were collected using a questionnaire that included information about maternal, neonatal, and obstetrical data, as well as breastfeeding experience and problems encountered during pregnancy. Data were handled and analyzed using IBM SPSS Statistics v22.0 (SPSS Inc., Chicago, IL, USA). Results The mean age of the mothers was 29.3 years (SD±4.9), gravidity was 3.2 (SD±1.7), and parity was 2.5 (SD±1.1). The mean age of the breastfed children was 12.6 months (SD±5.3) when the mothers became pregnant again. The reasons for stopping breastfeeding were professional advice (35%, n=34), their own decision (30%, n=30), believing that breastfeeding could have adverse effects on the unborn baby, and social pressure (16%). Only 5% (n=5) of mothers continued breastfeeding between 7 and 9 months after pregnancy. Conclusions Our results indicate that when a mother wishes to breastfeed during pregnancy, providing breastfeeding counseling by healthcare professionals with accurate information is essential to sustain lactation and maintain the well-being of the breastfeeding child without harm to the unborn baby.
Evaluation of mesiodistal tip accuracy in mandibular anterior teeth following incisor extraction with clear aligners
(Elsevier, 2025) Erdem, Buket; Özcan, Mustafa; Şar, Çağla
Introduction: Single mandibular incisor extraction is sometimes necessary in clear aligner treatment, yet the accuracy of mesiodis tal tooth positioning in such cases remains unclear. This retro spective study evaluates the discrepancy between predicted and achieved mesiodistal movements of the remaining mandibular an terior teeth in Invisalign (Align Technology, Santa Clara, CA) treat ments. Additionally, it examines the effects of aligner attachments and change frequency on movement accuracy. Material and Methods: A total of 40 Invisalign patients with single mandibular incisor extraction were retrospectively analyzed. Geomagic Control X (3D Systems, Rock Hill, SC) was used to mea sure pretreatment positions, predicted movements, and achieved outcomes. Predicted and actual mesiodistal tip movements were compared. Results: Regression analysis revealed significant discrepancies (P < 0.001) between predicted and achieved mesiodistal movements for both incisors and canines. Only 70% of the predicted incisor tip movement (R² = 0.4171) and 60% of the predicted canine tip move ment (R² = 0.5789) were achieved. Neither the number of aligners, change protocol (1-week vs. 2-week), nor attachments significantly affected accuracy (P > 0.05). However, incisors were less likely than canines to follow the predicted movement direction (P = 0.025). Conclusion: A significant discrepancy exists between predicted and achieved mesiodistal movements after single mandibular in cisor extraction with Invisalign. The number of aligners, wear dura tion, and attachments do not significantly influence accuracy. Fur ther research is needed to optimize treatment planning and im prove predictability in clear aligner therapy.
Examination of sleep disturbances in parkinson’s disease and other movement disorders
(Elsevier, 2025) Diaconu, Stefania; Murasan, Iulia; Değirmenci, Yıldız; Falup-Pecurariu, Cristian; Bhidayasiri, Roongroj; Falup-Pecurariu, Cristian
From Bedside to Diagnosis: Practical Competencies in Movement Disorders, Volume 10 in the International Review of Movement Disorders, highlights new advances in the field, with this new volume presenting interesting chapters on important topics such as Movement Disorder Examination: Hypokinetic Disorders, Clinical Approach to Abnormal Facial Movements, Advancing Movement Disorder Education: From Courses to Curriculum, Movement Disorder Examination: Hyperkinetic Disorders.
Taxonomic description and phylogenetic placement of a new xanthogalum species (Apiaceae) from Turkey
(Taylor & Francis, 2025) Tuncay, Hüseyin Onur; Ekici, Miraç; Uzun, Fatma Selin; Lyskov, Dmitry; Akalın, Emine
The genus Xanthogalum, represented by the species X. purpurascens and X. turcicum in Turkey, forms a small but taxonomically significant group characterized by decurrent leaves and large fruits with broad, undulate wings. During extensive field surveys (2020–2025) in northeastern Turkey, a distinctive population was discovered exhibiting a combination of morphological characters not found in any previously described Turkish species. Xanthogalum ozlemiae Tuncay & Akalın sp. nov. is described herein based on comprehensive morphological, anatomical, and molecular evidence. The new species is distinguished from its Turkish congeners by white petals with brownish lines (vs. yellow to yellow – green), densely hairy rays and pedicels, shorter pedicels (0.5–2.5 mm), amphisto matic leaves with sparse hairs restricted to upper surface veins, and distinctly unequal mericarps with markedly different wing widths (1.9–3.5 mm vs. 0.5–1 mm). Phylogenetic analyses based on ITS sequences support its placement within Xanthogalum and indicate close affinity with a white – petaled lineage. A detailed morphological description, anatomical characterization, comparisons with related species, an identification key, and a preliminary conservation assessment are provided. Given its extremely restricted distribution and ongoing habitat threats from tourism development, the species is assessed as Endangered (EN) under IUCN criteria.
SFNN: A secure and diverse recommender system through graph neural network and regularized variational autoencoder
(Elsevier, 2025) Bahi, Abderaouf; Gasmi, Ibtissem; Bentrad, Sassi; Azizi, Mohamed Walid; Khantouchi, Ramzi; Uzun-Per, Meryem
Recommender systems are frequently improved to filter information and provide users with the most relevant items. However, they face limitations in balancing appropriate and diverse recommendations while ensuring the security and integrity of user data. A new recommender system based on secure fusion neural network is pre sented in this paper. It guarantees data integrity and confidentiality while balancing accuracy and diversity. It integrates a graph neural network that models user-item interactions to improve accuracy, with a regularized variational autoencoder whose evidence lower bound loss function is enhanced by a diversity-promoting regu larization term that favors latent-space dispersion, thereby improving recommendation diversity. To optimize the combination of the two neural networks scores, an adaptive fusion mechanism is introduced to generate final predictions that consider diverse user preferences while maintaining relevance. Furthermore, our approach uses blockchain technology to encrypt and secure data storage, ensuring the integrity and confidentiality of users’ data. The experiments conducted on three datasets show that the proposed model can achieve an accuracy of 78.13 % with an intra-list diversity of 46.82 % for Retail Rocket dataset, an accuracy of 82.44 % with an intra-list diversity of 37.78 % for clothing dataset, and an accuracy of 86.16 % with an intra-list diversity of 47.65 % for MovieLens-1 M dataset.
