Sağlık Bilim ve Teknolojileri Araştırma Enstitüsü (SABİTA)Research Institute for Health Sciences and Technologieshttps://hdl.handle.net/20.500.12511/60492024-03-29T14:22:12Z2024-03-29T14:22:12ZThe investigation of inflammation in drug-naive first-episode mania by measuring ferritin, peripheral inflammatory markers, and their ratiosYeşilkaya, Ümit HalukBişgin, Ertuğrulhttps://hdl.handle.net/20.500.12511/124032024-03-28T10:46:13Z2024-01-01T00:00:00ZThe investigation of inflammation in drug-naive first-episode mania by measuring ferritin, peripheral inflammatory markers, and their ratios
Yeşilkaya, Ümit Haluk; Bişgin, Ertuğrul
Objective: Bipolar disorder (BD) is a complex psychiatric disorder with a multifactorial etiology involving both genetic and environmental factors. Increased inflammatory parameters have been shown in previous studies in bipolar disorder. However, it is not known whether ferritin and other inflammatory markers, primarily involved in autoimmune reactions and inflammation, change at the onset of the first episode. We aimed to investigate whether inflammation levels are elevated in the first episode of mania by measuring peripheral inflammatory markers with their ratios and ferritin. Methods: Fifty-six drug-naive individuals experiencing their first episode of mania (FEM) were clinically diagnosed in accordance with DSM-5 criteria. A control cohort (HC) comprising 57 individuals matched with the patients was included in the study. During the evaluation, symptoms were assessed using BPRS (Brief Psychiatric Rating Scale) and YMRS (Young Mania Rating Scale). Blood specimens were obtained from all participants to analyze levels of white blood cells (WBC), neutrophils, monocytes, albumin, ferritin, C-reactive protein (CRP), lymphocytes, and platelets and determine specific protein ratio. Results: Monocyte, Neutrophil-lymphocyte ratio (NLR), Monocyte-lymphocyte ratio (MLR), and neutro-phil–albumin ratio (NAR), values were statistically higher in the patient group than in the control group. A statistically significant positive correlation was found between ferritin values, BPRS, and YMRS scores.It was determined that NLR and NAR ratios predict the severity of the disease. Conclusion: These findings suggest that while inflammation may not be a definitive predictor for BD, it correlates with the disease’s severity.
2024-01-01T00:00:00ZReconstructing brain functional networks through identifiability and deep learningZanin, MassimilianoAktürk, TubaYıldırım, EbruYerlikaya, DenizYener, GörsevGüntekin, Baharhttps://hdl.handle.net/20.500.12511/123982024-03-29T06:57:55Z2024-01-01T00:00:00ZReconstructing brain functional networks through identifiability and deep learning
Zanin, Massimiliano; Aktürk, Tuba; Yıldırım, Ebru; Yerlikaya, Deniz; Yener, Görsev; Güntekin, Bahar
We propose a novel approach for the reconstruction of functional networks representing brain dynamics based on the idea that the coparticipation of two brain regions in a common cognitive task should result in a drop in their identifiability, or in the uniqueness of their dynamics. This identifiability is estimated through the score obtained by deep learning models in supervised classification tasks and therefore requires no a priori assumptions about the nature of such coparticipation. The method is tested on EEG recordings obtained from Alzheimer’s and Parkinson’s disease patients, and matched healthy volunteers, for eyes-open and eyes-closed resting–state conditions, and the resulting functional networks are analysed through standard topological metrics. Both groups of patients are characterised by a reduction in the identifiability of the corresponding EEG signals, and by differences in the patterns that support such identifiability. Resulting functional networks are similar, but not identical to those reconstructed by using a correlation metric. Differences between control subjects and patients can be observed in network metrics like the clustering coefficient and the assortativity in different frequency bands. Differences are also observed between eyes open and closed conditions, especially for Parkinson’s disease patients.
2024-01-01T00:00:00ZChemo-mechanical processing of hot chamber die cast scrap to design ZnO-based composite anode for lithium-ion batteriesKarahan, Billur DenizGülcan, Mehmet Feryathttps://hdl.handle.net/20.500.12511/123972024-03-26T10:40:22Z2024-01-01T00:00:00ZChemo-mechanical processing of hot chamber die cast scrap to design ZnO-based composite anode for lithium-ion batteries
Karahan, Billur Deniz; Gülcan, Mehmet Feryat
Zn–4Al alloy is mostly processed via high pressure, hot chamber die-casting method. For the first time in the open literature, in this study a novel and useful advice regarding the valorization of zinc die-cast scrap in green energy applications is realized. Herein, firstly a chemo-mechanical process is utilized to form ZnO rich powder (sample 1), then ball milling of this powder with carbon is accomplished to fabricate composite powder (sample 2). Unlike synthetic ZnO, the galvanostatic test demonstrates that the composite electrode (Sample 2) delivers 661.7 mA h/g capacities at 100th cycle when tested under a current load of 50 mA/g and performs 441.7 mA h/g capacities after 500 cycles, when 0.1 A/g current load is applied. Such performance can be related to the particularities in the morphology, the structure, and the chemistry of the designed composite powder.
2024-01-01T00:00:00ZData-driven medicine: The promise and potential of clinical decision support systemsTariq, SabaTariq, Sundushttps://hdl.handle.net/20.500.12511/123832024-03-21T06:59:24Z2024-01-01T00:00:00ZData-driven medicine: The promise and potential of clinical decision support systems
Tariq, Saba; Tariq, Sundus
Patient safety is one of the most important factors involved in any health care policy. The idea of evidence-based medicine has emerged as the dominant paradigm in clinical practice, influencing our current understanding of medicine. Clinical decisions are based on accumulated scientific information in order to provide the best possible care, enhance patient outcomes, and save expenses.
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