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A Monte Carlo Study of Dynamic Phase Transitions Observed in the Kinetic S = 1 Ising Model on Nonregular Lattices
No full textIn the present paper, we discuss the thermodynamic and dynamic phase transition properties of the kinetic Blume–Capel model with spin-1, defined on non-regular lattices, namely decorated simple cubic, decorated triangular, and decorated square (Lieb) lattice geometries. Benefiting from the recent results obtained for the thermodynamic phase transitions of the aforementioned lattice topologies [Azhari, M. and Yu, U., J. Stat. Mech. (2022) 033204], we explore the variation of the dynamic order parameter, dynamic scaling variance, and dynamic magnetic susceptibility as functions of the amplitude, bias, and period of the oscillating field sequence. According to the simulations, a second-order dynamic phase transition takes place at a critical field period for the systems with zero bias. A particular emphasis has also been devoted to metamagnetic anomalies emerging in the dynamic paramagnetic phase. In this regard, the generic two-peak symmetric behavior of the dynamic response functions has been found in the slow critical dynamics (i.e. dynamic paramagnetic) regime. Our results yield that the characteristics of the dynamic phase transitions observed in the kinetic Ising model on regular lattices can be extended to such non-regular lattices with a larger spin value
Diagnostic accuracy of machine learning algorithms in electrocardiogram-based sleep apnea detection: A systematic review and meta-analysis
No full textSleep apnea is a prevalent disorder affecting 10 % of middle-aged individuals, yet it remains underdiagnosed due to the limitations of polysomnography (PSG), the current diagnostic gold standard. Single-lead electrocardiography (ECG) has been proposed as a potential alternative diagnostic tool, but interpretation challenges remain. Recent advances in machine learning and deep learning technologies offer promising approaches for enhancing the detection of sleep apnea through automated analysis of ECG signals. This meta-analysis aims to evaluate the diagnostic accuracy of machine learning (ML) and deep learning (DL) algorithms in detecting sleep apnea patterns from single-lead ECG data. A comprehensive literature search across multiple databases was conducted through November 2023, adhering to PRISMA-DTA guidelines. Studies that included sensitivity and specificity data for ECG-based sleep apnea detection using (machine learning/deep learning) ML/DL were selected. The analysis included 84 studies, demonstrating high diagnostic accuracy for ML/DL algorithms, with pooled sensitivity and specificity of over 90 % in per-segment analysis and close to 97 % in per-record analysis. Despite strong diagnostic performance, variations in algorithm effectiveness and methodological biases were noted. This meta-analysis highlights the potential of ML and DL in improving sleep apnea diagnosis and outlines areas for future research to address current limitations
Çok Erken Başlangıçlı Şizofreni Olgusunda Katatoni ve Elektrokonvülsif Tedavinin Etkinliği
No full textUtilising 3D digital technology to identify vertebral numbers in colubrid snakes (Serpentes: Colubridae) from Türkiye
No full textThe number of vertebrae in snakes varies between genera and closely related species, and is influenced by factors such as ecology, behaviour, sex, and prey. In this study, we aimed to determine the number of vertebrae in three species of colubrid snakes in Türkiye, Rhynchocalamus melanocephalus, Rhynchocalamus satunini, and the Anatolian endemic Muhtarophis barani. 3D models were produced from cone beam computed tomography data for the snakes. Precloacal, cloacal and caudal vertebrae counts were performed on 3D models. Sexual dimorphism in the number of vertebrae was found in M. barani and R. melanocephalus insofar as the number of precloacal vertebrae was higher in females than in males, while the number of caudal vertebrae was higher in males than in females. The number of precloacal vertebrae in M. barani was lower than in the other two species, whereas the number of caudal vertebrae was higher
Güneybatı Anadolu’nun (Aydın-Kuşadası ve Söke Çevresi) Pleyistosen-Holosen Paleoiklim ve Paleortamsal değişimlerinin Çoklu Disiplinli Bir Çalışma ile Yeniden Yapılandırılması Projesi / Project of Reconstructing the Pleistocene-Holocene Palaeoclimate and Palaeospatial Changes of Southwestern Anatolia (Aydin-Kuşadası and Söke Regions) with a Multi-disciplinary Study
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The interplay between cognitive function and digital health literacy among older adults: Implications for e-health equity and accessibility
No full textBackground: Digital health literacy is increasingly vital for older adults, yet cognitive decline can impede effective use of online health resources. Objective: This study investigated the relationship between cognitive function and e-health literacy among older adults. Methods: A cross-sectional design was employed in six training family health centers across Izmir, Turkey. A total of 211 participants aged >= 65 years who reported internet use were included. Cognitive function was measured using the Mini-Mental State Examination, and digital health literacy was assessed using the Turkish version of the eHealth Literacy Scale. Data were analyzed with descriptive statistics, correlation analyses (Spearman). Results: The mean age was 69.58 +/- 4.19 years, and 49.8 % were male. Cognitive function, as measured by the MMSE, demonstrated a significant positive correlation with eHEALS scores (r = 0.609, p < 0.001). Conversely, age was negatively correlated with eHEALS scores. Conclusion: Cognitive function emerged as a key determinant of digital health literacy among older adults, even within the clinically normal MMSE range. This study is the first to highlight that subtle cognitive differences-though considered within normal limits-can significantly influence digital health engagement, our findings underscore the importance of designing user-friendly digital health interventions that accommodate age-related cognitive changes. Enhanced training and support for device usage may further mitigate barriers to effective e-health engagement in aging populations
RETROSPECTIVE EVALUATION OF DIET COMPLIANCE ON PLASMA AMINO ACID AND VITAMIN LEVELS IN PATIENTS WITH PHENYLKETONURIA
No full textBackground: In this study, it was aimed to compare the plasma amino acid and blood vitamin/mineral levels in patients with classical phenylketonuria and healthy controls. Methods: 54 patients with classical phenylketonuria and 22 healthy controls (76 children, 47 boys, 61.8%) were included in the study. The patient group was divided into two subgroups as high adherence to phenylalanine-restricted diet (HAD, 16 patients) and low adherence to this diet (LAD, 38 patients) according to the mean plasma phenylalanine level of the patients of the previous year. Anthropometric measurements (body weight and height and standard deviation score values), plasma phenylalanine and other amino acid levels, hemoglobin, vitamin B12, folic acid, vitamin D, zinc, ferritin levels of all groups were recorded. Results: The mean age of the entire study group was 10.1 +/- 3.6 (minimum: 3.5- maximum: 17) years. There was no significant difference between the phenylketonuria group and the control group in terms of age, gender distribution and anthropometric data. There was a significant difference between the three groups in terms of plasma phenylalanine levels (plasma phenylalanine levels 299.0 +/- 77.2; 813.7 +/- 356.6 and 47.5 +/- 15.9 mu mol/L in HAD, LAD and control groups respectively, p= 0.001). Tryptophan was significantly lower in the HAD group than in the LAD and control groups (p= 0.001 and p= 0.006, respectively). Lysine was found to be significantly higher and histidine was lower in the HAD group than the control group (p= 0.016 and p= 0.008, respectively). Hemoglobin, vitamin B12, folic acid and 25-OH vitamin D levels were found to be significantly higher in the PKU patient group compared to healthy children and no difference between zinc and ferritin levels. Conclusion: As a result, in patients with phenylketonuria who comply with the diet and whose anthropometric data are in the normal range, no significant deterioration in vitamin/mineral and amino acid values is observed. Compliance of the patients with a diet restricted from phenylalanine will both reduce the neurological effects and ensure that the patient is nutritionally balanced
