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Distinct Brain Magnetic Resonance Imaging (MRI) Findings Across Mucopolysaccharidosis Types: Novel Insights
No full textIntroduction: Mucopolysaccharidosis represents a severe lysosomal storage disorder wherein glycosaminoglycans accumulate because of various rare enzyme deficiencies. Magnetic resonance imaging (MRI) plays a crucial role in identifying neurologic involvement and monitoring disease progression. Objective: This retrospective, cross-sectional study aimed to evaluate brain MRI findings in pediatric patients diagnosed with mucopolysaccharidosis, characterizing imaging patterns across subtypes. Methods: Eighty pediatric patients with mucopolysaccharidosis who underwent brain MRI between 2010 and 2022 were retrospectively analyzed. MRI features such as enlarged perivascular spaces, ventriculomegaly, atrophy, white matter lesions, optic nerve sheath enlargement, and the newly described “bat sign” were evaluated. Findings were compared across mucopolysaccharidosis subtypes and age groups. Results: The most frequent abnormalities were enlarged perivascular spaces (67.5%), ventriculomegaly (46.2%), and atrophy (43.8%). The novel “bat sign” was identified in 49 patients (61%). Enlarged perivascular space was seen in all type I, II, and IIIC patients. Type VI patients had the highest corpus callosum area (P < .001). Brain atrophy was most common in type IIIB patients. Conclusion: MRI is a valuable tool for detecting central nervous system involvement in mucopolysaccharidosis. Recognizing these patterns may facilitate early diagnosis and guide therapeutic decision
GÜZEL SANATLAR EĞİTİM FAKÜLTESİ ÖĞRENCİLERİNİN DİJİTAL SANAT VE RESİME İLİŞKİN GÖRÜŞLERİNİN İNCELENMESİ BİR FENOMENOLOJİK DESEN ÇALIŞMASI
No full textThermodynamic properties of a Gaussian quantum ring in the presence of a molecular ion
No full textIn this study, the findings of research conducted into the thermodynamic properties of a molecular complex ion in a 2D quantum ring characterized by Gaussian-type potentials are presented. The Schrödinger equation for a singly ionized double donor complex was solved by a two-dimensional diagonalization method. The results obtained show that at the internuclear distance, where there is coupling between the Coulomb centers such that the electron is shared by both impurity atoms, the mean energy and entropy of the system are minimal. A further finding is that in the regime where the distance between impurity atoms is comparable to the inner radius of the quantum ring, the heat capacity of the system undergoes significant changes with temperature
Sürdürülebilir Piyasa ile Borsa, Altın, Petrol, Tahvil ve Bitcoin Arasındaki Bağlantılılık: Kantil Üzeri Kantil (QQ) Yaklaşımı ve Portföy Stratejilerinden Kanıtlar
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Investigating the impact of sensor axis combinations on activity recognition and fall detection: an empirical study
No full textActivity recognition is a fundamental concept widely embraced within the realm of healthcare. Leveraging sensor fusion techniques, particularly involving accelerometers (A), gyroscopes (G), and magnetometers (M), this technology has undergone extensive development to effectively distinguish between various activity types, improve tracking systems, and attain high classification accuracy. This research is dedicated to augmenting the effectiveness of activity recognition by investigating diverse sensor axis combinations while underscoring the advantages of this approach. In pursuit of this objective, we gathered data from two distinct sources: 20 instances of falls and 16 daily life activities, recorded through the utilization of the Motion Tracker Wireless (MTw), a commercial product. In this particular experiment, we meticulously assembled a comprehensive dataset comprising 2520 tests, leveraging the voluntary participation of 14 individuals (comprising 7 females and 7 males). Additionally, data pertaining to 7 cases of falls and 8 daily life activities were captured using a cost-effective, environment-independent Activity Tracking Device (ATD). This alternative dataset encompassed a total of 1350 tests, with the participation of 30 volunteers, equally divided between 15 females and 15 males. Within the framework of this research, we conducted meticulous comparative analyses utilizing the complete dataset, which encompassed 3870 tests in total. The findings obtained from these analyses convincingly establish the efficacy of recognizing both fall incidents and routine daily activities. This investigation underscores the potential of leveraging affordable IoT technologies to enhance the quality of everyday life and their practical utility in real-world scenarios.</p
TÜRKİYE’ DE HALK ARASINDA GIDA OLARAK KULLANILAN BAZI BİTKİ TÜRLERİ HAKKINDAGÜNCEL ARAŞTIRMALAR
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