131 research outputs found
DeepSlides dataset
<p>DeepSlides dataset.</p>
<p>please cite:</p>
<pre>@article{senaras2018deepfocus,
title={DeepFocus: detection of out-of-focus regions in whole slide digital images using deep learning},
author={Senaras, Caglar and Niazi, M Khalid Khan and Lozanski, Gerard and Gurcan, Metin N},
journal={PloS one},
volume={13},
number={10},
pages={e0205387},
year={2018},
publisher={Public Library of Science San Francisco, CA USA}
}</pre>
Rationale, Design, and Methodology of the MORCOR-TURK Trial: Predictors of In-hospital MORtality in CORonary Care Patients in Turkey
Background: Coronary care units are sophisticated clinics established to reduce deaths due to acute cardiovascular events. Current data on coronary care unit mortality rates and predictors of mortality in Turkey are very limited. The MORtality predictors in CORonary care units in TURKey (MORCOR-TURK) trial was designed to provide information on the mortality rates and predictors in patients followed in coronary care units in Turkey. Methods: The MORCOR-TURK trial will be a national, observational, multicenter, and noninterventional study conducted in Turkey. The study population will include coronary care unit patients from 50 centers selected from all regions in Turkey. All consecutive patients admitted to coronary care units with cardiovascular diagnoses between 1 and 30 September 2022 will be prospectively enrolled. All data will be collected at one point in time, and the current clinical practice will be evaluated (ClinicalTrials.gov number NCT05296694). In the first step of the study, admission diagnoses, demographic characteristics, basic clinical and laboratory data, and in-hospital management will be assessed. At the end of the first step, the predictors and rates of in-hospital mortality will be documented. The second step will be in cohort design, and discharged patients will be followed up till 1 year. Predictors of short- and long-term mortality will be assessed. Moreover, a new coronary care unit mortality score will be generated with data acquired from this cohort. Results: The short-term outcomes of the study are planned to be shared by early 2023. Conclusion: The MORCOR-TURK trial will be the largest and most comprehensive study in Turkey evaluating the rates and predictors of in-hospital mortality of patients admitted to coronary care units
Electroconvulsive Therapy in the Treatment of Mood Disorders: One-Year Follow-up
Introduction: Electroconvulsive therapy (ECT) is known to be an effective option in the treatment of mood disorders, especially resistant depression. However, the remission achieved by ECT was reported to be not long lasting enough. The aim of the present study was to investigate the relapse/recurrence rates and associated risk factors during the first year after ECT in patients diagnosed with mood disorders
Mine and me: exploring the neural basis of object ownership.
Previous research has shown that encoding information in the context of self-evaluation leads to memory enhancement, supported by activation in ventromedial pFC. Recent evidence suggests that similar self-memory advantages can be obtained under nonevaluative encoding conditions, such as when object ownership is used to evoke self-reference. Using fMRI, the current study explored the neural correlates of object ownership. During scanning, participants sorted everyday objects into self-owned or other-owned categories. Replicating previous research, a signifi- cant self-memory advantage for the objects was observed (i.e., self-owned &gt; other-owned). In addition, encoding self-owned items was associated with unique activation in posterior dorso- medial pFC (dMPFC), left insula, and bilateral supramarginal gyri (SMG). Subsequent analysis showed that activation in a subset of these regions (dMPFC and left SMG) correlated with the magni- tude of the self-memory advantage. Analysis of the time-to-peak data suggested a temporal model for processing ownership in which initial activation of dMPFC spreads to SMG and insula. These results indicate that a self-memory advantage can be elic- ited by object ownership and that this effect is underpinned by activity in a neural network that supports attentional, reward, and motor processing
Comparison of the Treatment Efficacy of Rituximab and Plasmapheresis/Intravenous Immunoglobulin Combination with Historical Control in Chronic Antibody Mediated Rejection
OBJECTIVE: Chronic antibody mediated rejection (CAMR) is a major therapeutic challenge for achieving long-term graft survival; treatment options are limited to several anti-humoral interventions. MATERIAL and METHODS: Efficacy of rituximab combination therapy was retrospectively investigated by comparison with a historical control group for allograft function at six month and overall graft survival/dysfunction. The inclusion criterion was biopsy proven chronic AMR according to the Banff 2007 classification. Nineteen patients found eligible, rituximab group had nine patients (rituximab, plasmapheresis and low dose IVIG); control group had ten recipients. Predictive factors for graft failure also investigated according to Banff scores and renal functions. RESULTS: None of the outcomes were exposed significant efficacy of rituximab, although better treatment response at sixth month (55% vs. 40%, p= 0.51), fewer overall graft failures (33% vs. 60%, p= 0.25) and dysfunctions (66% vs. 80%, p= 0.52). Overall, 47% of patients suffered graft failure. Advanced transplant glomerulopathy was found in 90% of biopsies (all scored = 2). Peritubular capillaritis score (1.67 +/- 0.87 vs. 0.70 +/- 0.94, p= 0.04) and interstitial inflammation score (1.78 +/- 0.44 vs. 1.00 +/- 0.47, p= 0.004) were significantly higher in recipients who suffered graft failure. CONCLUSION: Rituximab could not sufficiently prevent further deterioration of allograft and failed to improve allograft survival in CAMR, especially after settlement of the irreversible transplant glomerulopathy
Carbon Fiber Tow Spreading: Experimental Machine Design, Friction Behaviour, and Novel Monitoring Concepts
This master’s thesis focuses on the design and assembly of an innovative tow spreading line for investigating carbon fiber tow spreading through the utilization of spreader bars. The primary objective was to examine the friction behavior during the spreading process by employing multiple tension sensors. Additionally, novel monitoring concepts including 4-point resistivity sensing, optical width and gap detection, and optical analysis for determining fiber orientation within the carbon tow were introduced. Through a series of experiments conducted on the newly built setup, comprehensive data was collected and analyzed. The findings revealed an intriguing observation that deviates from the established Capstan equation. It was observed that an increase in tension in the tow resulted in a reduced apparent friction coefficient during bar tow spreading. This departure from the conventional understanding of friction dynamics in this scenario contributes valuable insights to the field of carbon fiber tow spreading. Furthermore, the feasibility of utilizing resistivity measurements as a means of detecting material anomalies, such as damage or waviness, was investigated. The results demonstrated that this technique, while partially reliant on tow tension, consistently detected such anomalies. However, challenges were encountered in achieving quantitative consistency in the optical orientation analysis, making it difficult to obtain robust results in this aspect. The experimental monitoring setup also revealed an increase of approximately 20% in the width of the tow. To enhance process repeatability, recommendations are proposed to upgrade several components of the built experimental line. Moreover, it is advised to further test and develop the software analysis techniques to achieve a higher degree of repeatability, thus potentially validating the obtained results. In conclusion, this research contributes to the understanding of carbon fiber tow spreading through the design and assembly of an experimental production line, examination of friction behavior, and the introduction of novel monitoring techniques. The outcomes serve as a foundation for future investigations and advancements in this domain, with the potential to enhance the efficiency and quality of carbon fiber tow spreading processes.Aerospace Engineerin
The Influence of Preformed HLA Class I and II Panel Reactive Antibodies on Clinical and Pathological Outcomes of Kidney Allograft
OBJECTIVE: The aim of the study was to investigate the influence of preformed anti-HLA antibodies that are represented by peak PRA levels on clinical and histopathologic outcomes of kidney allograft. MATERIAL and METHODS: The study was a retrospective cohort that consisted of 111 kidney transplant recipients. A peak PRA level greater than 15% was accepted positive for HLA class I and II antibodies. Flow cytometric assay was used for PRA and lymphocyte cross-match (LCM). All recipients were LCM negative. Allograft biopsies were indication biopsy and evaluated according to Banff 2011 criteria to investigate the influence of HLA antibodies. RESULTS: PRA was positive in 21.5% of patients for Class-I and 22.5% for Class-II antibodies. PRA Class-II positive patients had significantly more graft failure (p=0.028), death censored graft failure (p=0.008), acute rejection (p=0.016) and chronic rejection (p=0.029). Regarding the pathological evaluation, peritubular capillaritis score was significantly higher in PRA Class-II positive patients (0.44 +/- 0.78 vs. 1.55 +/- 1.12, p=0.008) and more patients had a glomerulitis+peritubular capillaritis score >= 2 (64% vs. 36%, p=0.026). These significant clinical and pathological outcomes were not observed for PRA Class-I and PRA Class I+II positive patients. CONCLUSION: Preformed anti-HLA Class-II antibodies are responsible for increased allograft rejection and reduced graft survival despite the negative flow cytometric lymphocyte crossmatch in kidney transplantation
Effect of wettability and textile architecture on fluid displacement and pore formation during infiltration of carbon fibrous preforms
We seek to address how air entrapment mechanisms during infiltration are influenced by the wetting characteristics of the fluid and the pore network formed by the reinforcement. To this end, we evaluated the behavior of two model fluids with different surface tensions, infiltrating three carbon fiber reinforcements, by means of X-ray radiography. We also assessed initial (dry) and final (wetted) states for each experiment by performing X-ray CT scans. We found that the fluid characteristics strongly affect the flow front patterns and pore filling events for a given fabric architecture. Two main promoters of snap-off events are involved in capillary dominated flows: a very wetting system leading to corner flows and the fabric bundles oriented perpendicular to the flow acting as obstacles, specifically in fabric architectures prone to variations in nesting. Finally, we evaluated the applicability of a pore network model to further link preform architecture and void formation.Aerospace Manufacturing Technologie
Design and evaluation of line symbolizations for origin–destination flow maps
We present the results of a user study comparing variants of commonly used line symbolizations for directed origin–destination flow maps. Our design and evaluation consisted of five line symbolizations that employ a combination of following visual variables: arrowheads, origin–destination coloring (color hue, and value), line shortening, line width, tapered edges (varying width from wide to narrow, and narrow to wide), and curvature asymmetry and strength. To guide our evaluation, we used a task-by-type typology and chose four representative tasks that are commonly used in flow map reading: identifying dominant direction of flows, flows with the highest magnitude (volume), spatial focusing of long flows toward a destination, and clusters of high net-exports (net-outflow). We systematically analyzed user responses and task performance which we measured by task completion time and accuracy. We designed a web-based flow mapping and testing framework and recruited the participants from Amazon Mechanical Turk. To demonstrate the application and user experiment, we used 16 commodity flow data sets in the United States from 2007 and systematically rotated the layouts to evaluate the effect of layout orientation. From this study, we can conclude that there is potential usefulness for all of the five symbolizations we tested; however, the influence of the design on performance and perception depends on the type of the task. Also, we found that data and layout orientation have significant effects on performance and perception of patterns in flow maps which we attribute to the change in visual saliency of node and flow patterns in relation to the way users scan the map. We recommend that the choice of line symbolization should be guided by a task taxonomy which end users are expected to perform. We discuss various design trade-offs and recommendations and potential future work for designing and evaluating line symbolizations for flow mapping. </jats:p
Is an historical economic crisis upcoming?
In this work, the time chart of Dow Jones Industrial Average (DJIA) index is analyzed and approach of recession time term is predicted, which may be hallmark of a worldwide economic crisis. However, the methods used for the prediction will be disclosed a few years from now. On the other hand, this work will be updated by the author frequently once in every few months where no revisions will be made on the previous uploads and a timestamp will designate each part. Thus, the time evolution of the crisis can be followed and the prediction may be verified by the readers in time.
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