Ho Chi Minh City Open University Journal of Science
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Predictive Value of Electrocardiographic Markers Versus Echocardiographic and Clinical Measures for Appropriate ICD Shocks in Heart Failure Patients
No full textBackground: Despite the survival benefit of ICDs in patients with HFrEF, most recipients do not receive appropriate therapy during follow-up. Existing risk models based on echocardiographic and clinical parameters show limited predictive accuracy for arrhythmic events. This study aimed to assess whether ECG-derived markers outperform conventional measures in predicting appropriate ICD shocks. Methods: This retrospective observational study included 375 patients with HFrEF who underwent ICD implantation for primary prevention at least six months before study enrollment. Twelve-lead surface ECGs were analyzed for a QTc interval, Tp-e/QT ratio, frontal QRS-T angle, and maximum deflection index (MDI). Clinical, echocardiographic, and arrhythmic event data obtained from device interrogations were evaluated. Receiver operating characteristic (ROC) curve analysis and multivariate logistic regression were performed to identify independent predictors of appropriate ICD shocks. Results: Patients who experienced appropriate ICD shocks had significantly higher rates of a complete bundle branch block, digoxin use, QRS duration, QTc, Tp-e/QT ratio, frontal QRS-T angle, MDI, and right-ventricular pacing ratio. Conversely, beta-blocker use was significantly lower in this group. In multivariate analysis, independent predictors of appropriate shocks included the patient’s digoxin use (OR = 2.931, p = 0.003), beta-blocker use (OR = 0.275, p = 0.002), frontal QRS-T angle (OR = 1.009, p < 0.001), QTc interval (OR = 1.020, p < 0.001), and Tp-e/QT ratio (OR = 4.882, p = 0.050). The frontal QRS-T angle had a cutoff value of 105.5° for predicting appropriate ICD shocks (sensitivity: 73.6%, specificity: 85.2%, AUC = 0.758, p < 0.001). Conclusions: Electrocardiographic markers, particularly the frontal QRS-T angle, QTc interval, and Tp-e/QT ratio, demonstrated superior predictive power for appropriate ICD shocks compared to conventional echocardiographic and clinical measures. These easily obtainable, non-invasive ECG parameters may improve current risk stratification models and support more individualized ICD implantation strategies
Kentsel Kırılganlık Haritası: Malatya Örneğinde Kamusal Hizmetlere Erişim ve Mekânsal Eşitsizlik
No full textDeepTherapy: A mobile platform for osteoarthritis rehabilitation utilizing chain-of-thought reasoning and deep learning
No full textObjectives: To develop and evaluate an AI-driven mobile platform that integrates deep learning-based exercise analysis with large language model (LLM) feedback for enhancing osteoarthritis (OA) rehabilitation accessibility and effectiveness. Methods: A deep learning framework was developed using Long Short-Term Memory (LSTM) architecture to classify exercise phases from video data of 10 rehabilitation exercises. The dataset consisted of approximately 800,000 frames collected from 20 healthy volunteers. A feedback system utilizing chain-of-thought reasoning in LLMs (GPT-4o and Claude 3.5 Sonnet) was implemented to generate targeted corrective feedback. Evaluation was conducted with OA patients (n=2) and physiotherapists (n=7) using the Intraclass Correlation Coefficient (ICC) and Likert scales. Results: The developed LSTM models achieved 97.8% accuracy in exercise phase classification. Strong agreement between system-generated scores and expert evaluations was demonstrated (ICC=0.85). Physiotherapists slightly preferred Claude's outputs (52.4% vs 47.6%) but rated GPT-4o higher on clinical relevance (4.57/5 vs 4.13/5), clarity (4.71/5 vs 4.38/5), and helpfulness (4.50/5 vs 4.29/5). Conclusions: DeepTherapy effectively addresses critical limitations in rehabilitation monitoring by providing qualitative movement assessment, identifying incorrect movements, and offering detailed guidance on technique improvement, potentially increasing rehabilitation accessibility while maintaining quality of care
Genetic Diversity and Association Mapping for Salinity Tolerance in Watermelon (Citrullus Lanatus L.)
No full textSalt stress is one of the most critical abiotic constraints on global agricultural productivity, negatively impacting plant growth, development, and yield potential. Watermelon, a moderately salt-sensitive crop, experiences substantial reductions in key growth parameters, including root and stem length, leaf count, and biomass production under salt stress. Understanding the genetic basis of salt tolerance is crucial for developing resilient cultivars. This study investigates the physiological and molecular responses of diverse watermelon genotypes to salt stress under controlled conditions, with a particular focus on identifying key molecular markers linked to stress tolerance. Under salt stress (8 dS m⁻1), the average root length of watermelon genotypes declined from 61.73 ± 0.91 cm (control) to 55.85 ± 0.73 cm, indicating an 8.16% reduction in root development. Chlorophyll a and b levels decreased by 17.1 and 13.6%, respectively, though specific genotypes (e.g., W7, W15, and W28) exhibited an increase in these parameters, suggesting potential tolerance mechanisms. Molecular marker analysis revealed that ISSR, SSR, and SRAP technologies effectively differentiate salt-tolerant and salt-sensitive genotypes. Notably, the ISSR-DBDACA7.540 band showed a strong association with photosynthetically active radiation (PAR) and malondialdehyde (MDA), achieving the highest regression coefficient (42.7%). These findings emphasize the varying salt stress responses among watermelon genotypes and highlight the critical role of molecular markers in evaluating and improving stress tolerance. The identified genetic resources can facilitate the selection of salt-tolerant genotypes and their incorporation into breeding programs, contributing to the development of more resilient watermelon varieties.</p
Bir Diş Hekimliği Fakültesinde Konik Işınlı Bilgisayarlı Tomografi İstek Nedenleri: Arşiv Verilerine Dayalı Retrospektif Çalışma
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The NADPH Oxidases (NOX) Gene Family Expression and Genome-Wide Characterization in Common Beans (Phaseolus vulgaris L.)
No full textThis study aimed to identify and characterize the NADPH oxidases (NOX) gene family in the common bean (Phaseolus vulgaris L.) to understand its role in plant growth, development, and stress responses. Using bioinformatic tools, the NOX gene family members were identified and analyzed for their molecular weights, isoelectric points, amino acid numbers, and evolutionary relationships. Segmental duplication analysis and phylogenetic studies were conducted using NOX genes from Arabidopsis thaliana, Cicer arietinum, Oryza sativa, and Glycine max. The results revealed nine Phvul-NOX proteins in the common bean genome, with molecular weights ranging from 92940.09 to 105660.24 kDa, isoelectric points from 7.86 to 9.36, and amino acid numbers from 823 to 946. Segmental duplication was observed in Phvul-NOX-1/Phvul-NOX-3, Phvul-NOX-2/Phvul-NOX-8, and Phvul-NOX-5/Phvul-NOX-6 gene pairs, and purifying selection was identified throughout the evolutionary process. Phylogenetic analysis grouped the NOX genes into three main clades, and a synteny map between A. thaliana and P. vulgaris was constructed. This study provides the first comprehensive characterization of the NOX gene family in the common bean, offering valuable insights for future functional genomics research and potential applications in enhancing stress tolerance and crop productivity
OKUL YÖNETİCİLERİNİN KUANTUM LİDERLİK DAVRANIŞLARININ ÖĞRETMENLERİN İNOVASYON BECERİLERİ ÜZERİNDEKİ ETKİSİ
No full textAssociation between non-dipper blood pressure pattern and coronary artery disease burden in hypertensive patients
No full textBackground Non-dipper blood pressure (BP) patterns are associated with increased cardiovascular risk, but their relationship to coronary artery disease (CAD) complexity remains unclear. This study evaluated whether a non-dipper BP profile is linked to greater CAD burden in hypertensive patients using SYNTAX Scores (SS) I and II. Research design and methods A total of 381 hypertensive patients undergoing elective coronary angiography were prospectively enrolled. All underwent 24-hour ambulatory BP monitoring (ABPM) and were categorized as dipper or non-dipper. CAD burden was assessed using SS I and II. ROC analysis and multivariate logistic regression were performed. Results Non-dippers had significantly higher SS I (14.24 +/- 8.47 vs. 9.81 +/- 5.24) and SS II (28.64 +/- 9.64 vs. 22.30 +/- 6.57) than dippers (p < 0.001). SS II had greater predictive value (AUC: 0.704). Non-dipper status (OR: 20.1), diabetes, lower eGFR, and higher platelet count were independently associated with high SS, while age, gender, and high-sensitivity C-reactive protein (hs-CRP) were not. Conclusions Non-dipper BP was independently associated with greater anatomical and clinical CAD complexity. Integrating ABPM and SS may enhance cardiovascular risk stratification and inform individualized preventive strategies in hypertensive patients