المؤلفون: Alexos, Antonios, Liu, Junze, Tiwari, Akash, Bhardwaj, Kshitij, Hayes, Sean, Baldi, Pierre, Bukkapatnam, Satish, Bhandarkar, Suhas

مصطلحات موضوعية: Computer Science - Machine Learning

الوصف: In Inertial Confinement Fusion (ICF) process, roughly a 2mm spherical shell made of high density carbon is used as target for laser beams, which compress and heat it to energy levels needed for high fusion yield. These shells are polished meticulously to meet the standards for a fusion shot. However, the polishing of these shells involves multiple stages, with each stage taking several hours. To make sure that the polishing process is advancing in the right direction, we are able to measure the shell surface roughness. This measurement, however, is very labor-intensive, time-consuming, and requires a human operator. We propose to use machine learning models that can predict surface roughness based on the data collected from a vibration sensor that is connected to the polisher. Such models can generate surface roughness of the shells in real-time, allowing the operator to make any necessary changes to the polishing for optimal result.
Comment: Accepted as Extended Abstract in AIM 2024

الوصول الحر: http://arxiv.org/abs/2312.10553Test

المؤلفون: Gonzalez, Armando D. Diaz, Hughes, Kevin S., Yue, Songhui, Hayes, Sean T.

المصدر: The 7th International Conference on Information System and Data Mining (ICISDM2023-ACM), Atlanta, USA, May 2023

مصطلحات موضوعية: Computer Science - Computation and Language, Computer Science - Computers and Society

الوصف: Published biomedical information has and continues to rapidly increase. The recent advancements in Natural Language Processing (NLP), have generated considerable interest in automating the extraction, normalization, and representation of biomedical knowledge about entities such as genes and diseases. Our study analyzes germline abstracts in the construction of knowledge graphs of the of the immense work that has been done in this area for genes and diseases. This paper presents SimpleGermKG, an automatic knowledge graph construction approach that connects germline genes and diseases. For the extraction of genes and diseases, we employ BioBERT, a pre-trained BERT model on biomedical corpora. We propose an ontology-based and rule-based algorithm to standardize and disambiguate medical terms. For semantic relationships between articles, genes, and diseases, we implemented a part-whole relation approach to connect each entity with its data source and visualize them in a graph-based knowledge representation. Lastly, we discuss the knowledge graph applications, limitations, and challenges to inspire the future research of germline corpora. Our knowledge graph contains 297 genes, 130 diseases, and 46,747 triples. Graph-based visualizations are used to show the results.
Comment: 10 pages

الوصول الحر: http://arxiv.org/abs/2309.13061Test

المؤلفون: Hayes, Sean M, Anderson, Kurt E

مصطلحات موضوعية: Digestive Diseases, Food-webs, Spatial networks, Non-equilibrium dynamics, Persistence, Feasibility, Trophic structure, Body size, Applied Mathematics, Numerical and Computational Mathematics, Mathematical Physics

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/8r7514nwTest

المؤلفون: Min, James, Hague, Cameron, Berman, Daniel, Chaitman, Bernard, Picard, Michael, Hayes, Sean, Scherrer-Crosbie, Marielle, Kwong, Raymond, Lopes, Renato, Senior, Roxy, Dwivedi, Sudhanshu, Miller, Todd, Chow, Benjamin, de Silva, Ramesh, Stone, Gregg, Boden, William, Bangalore, Sripal, OBrien, Sean, Hochman, Judith, Maron, David, Reynolds, Harmony, Diaz, Ariel, Cyr, Derek, Shaw, Leslee, Mancini, G, Leipsic, Jonathon, Budoff, Matthew

المصدر: JACC: Cardiovascular Imaging. 16(1)

مصطلحات موضوعية: coronary CT angiography, ischemia, ischemia with nonobstructive coronary arteries, stress testing, Female, Humans, Male, Atherosclerosis, Coronary Angiography, Coronary Artery Disease, Coronary Vessels, Ischemia, Myocardial Ischemia, Predictive Value of Tests

الوصف: BACKGROUND: Ischemia with nonobstructive coronary arteries (INOCA) is common clinically, particularly among women, but its prevalence among patients with at least moderate ischemia and the relationship between ischemia severity and non-obstructive atherosclerosis severity are unknown. OBJECTIVES: The authors investigated predictors of INOCA in enrolled, nonrandomized participants in ISCHEMIA (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches), sex differences, and the relationship between ischemia and atherosclerosis in patients with INOCA. METHODS: Core laboratories independently reviewed screening noninvasive stress test results (nuclear imaging, echocardiography, magnetic resonance imaging or nonimaging exercise tolerance testing), and coronary computed tomography angiography (CCTA), blinded to results of the screening test. INOCA was defined as all stenoses

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/33d7v3qxTest

المؤلفون: Kuronuma, Keiichiro, Miller, Robert J.H., Wei, Chih-Chun, Singh, Ananya, Lemley, Mark H., Van Kriekinge, Serge D., Kavanagh, Paul B., Gransar, Heidi, Han, Donghee, Hayes, Sean W., Thomson, Louise, Dey, Damini, Friedman, John D., Berman, Daniel S., Slomka, Piotr J.

المساهمون: Cedars-Sinai Medical Center

المصدر: European Journal of Nuclear Medicine and Molecular Imaging ; ISSN 1619-7070 1619-7089

مصطلحات موضوعية: Radiology, Nuclear Medicine and imaging, General Medicine

الوصف: Purpose The myocardial creep is a phenomenon in which the heart moves from its original position during stress-dynamic PET myocardial perfusion imaging (MPI) that can confound myocardial blood flow measurements. Therefore, myocardial motion correction is important to obtain reliable myocardial flow quantification. However, the clinical importance of the magnitude of myocardial creep has not been explored. We aimed to explore the prognostic value of myocardial creep quantified by an automated motion correction algorithm beyond traditional PET-MPI imaging variables. Methods Consecutive patients undergoing regadenoson rest-stress [ 82 Rb]Cl PET-MPI were included. A newly developed 3D motion correction algorithm quantified myocardial creep, the maximum motion at stress during the first pass (60 s), in each direction. All-cause mortality (ACM) served as the primary endpoint. Results A total of 4,276 patients (median age 71 years; 60% male) were analyzed, and 1,007 ACM events were documented during a 5-year median follow-up. Processing time for automatic motion correction was < 12 s per patient. Myocardial creep in the superior to inferior (downward) direction was greater than the other directions (median, 4.2 mm vs. 1.3–1.7 mm). Annual mortality rates adjusted for age and sex were reduced with a larger downward creep, with a 4.2-fold ratio between the first (0 mm motion) and 10th decile (11 mm motion) (mortality, 7.9% vs. 1.9%/year). Downward creep was associated with lower ACM after full adjustment for clinical and imaging parameters (adjusted hazard ratio, 0.93; 95%CI, 0.91–0.95; p < 0.001). Adding downward creep to the standard PET-MPI imaging model significantly improved ACM prediction (area under the receiver operating characteristics curve, 0.790 vs. 0.775; p < 0.001), but other directions did not ( p > 0.5). Conclusions Downward myocardial creep during regadenoson stress carries additional information for the prediction of ACM beyond conventional flow and perfusion PET-MPI. This novel ...

الإتاحة: https://doi.org/10.1007/s00259-024-06611-2Test

المؤلفون: Smit, Mathijs G.D., Wadhia, Kirit, Cailleaud, Kevin, Prosser, Chris, Hayes, Sean

المصدر: Environmental Impact Assessment Review ; volume 104, page 107350 ; ISSN 0195-9255

مصطلحات موضوعية: Management, Monitoring, Policy and Law, Ecology, Geography, Planning and Development

الإتاحة: https://doi.org/10.1016/j.eiar.2023.107350Test
https://api.elsevier.com/content/article/PII:S0195925523003165?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0195925523003165?httpAccept=text/plainTest

المؤلفون: Tamarappoo, Balaji K, Lin, Andrew, Commandeur, Frederic, McElhinney, Priscilla A, Cadet, Sebastien, Goeller, Markus, Razipour, Aryabod, Chen, Xi, Gransar, Heidi, Cantu, Stephanie, Miller, Robert Jh, Achenbach, Stephan, Friedman, John, Hayes, Sean, Thomson, Louise, Wong, Nathan D, Rozanski, Alan, Slomka, Piotr J, Berman, Daniel S, Dey, Damini

مصطلحات موضوعية: Biomedical and Clinical Sciences, Clinical Sciences, Bioengineering, Clinical Research, Biomedical Imaging, Cardiovascular, Heart Disease, Prevention, Heart Disease - Coronary Heart Disease, 4.1 Discovery and preclinical testing of markers and technologies, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Good Health and Well Being, Aged, Biomarkers, Coronary Angiography, Coronary Artery Disease, Coronary Vessels, Female, Humans, Machine Learning, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Risk Assessment, Risk Factors, Vascular Calcification, Machine learning, Artificial intelligence, Serum biomarkers, Cardiac computed tomography, Cardiovascular risk stratification, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences

الوصف: Background and aimsWe sought to assess the performance of a comprehensive machine learning (ML) risk score integrating circulating biomarkers and computed tomography (CT) measures for the long-term prediction of hard cardiac events in asymptomatic subjects.MethodsWe studied 1069 subjects (age 58.2 ± 8.2 years, 54.0% males) from the prospective EISNER trial who underwent coronary artery calcium (CAC) scoring CT, serum biomarker assessment, and long-term follow-up. Epicardial adipose tissue (EAT) was quantified from CT using fully automated deep learning software. Forty-eight serum biomarkers, both established and novel, were assayed. An ML algorithm (XGBoost) was trained using clinical risk factors, CT measures (CAC score, number of coronary lesions, aortic valve calcium score, EAT volume and attenuation), and circulating biomarkers, and validated using repeated 10-fold cross validation.ResultsAt 14.5 ± 2.0 years, there were 50 hard cardiac events (myocardial infarction or cardiac death). The ML risk score (area under the receiver operator characteristic curve [AUC] 0.81) outperformed the CAC score (0.75) and ASCVD risk score (0.74; both p = 0.02) for the prediction of hard cardiac events. Serum biomarkers provided incremental prognostic value beyond clinical data and CT measures in the ML model (net reclassification index 0.53 [95% CI: 0.23-0.81], p

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/24198466Test

المؤلفون: Hayes, Sean, Jopling, Michael, Gul, Ruki

المصدر: London Review of Education. 2018 16(3):491-506.

تمت مراجعته من قبل الزملاء: Y

Page Count: 16

الواصفات: Foreign Countries, Accountability, Educational Improvement, Educational Attainment, Academic Achievement, Educational Change, Outcomes of Education, Teaching Methods, Elementary School Students, Secondary School Students

مصطلحات جغرافية: United Kingdom (London)

مستخلص: This article examines whether the so-called 'London effect', in which London's schools improved rapidly and outperformed the rest of England on key performance measures between 2003 and 2013, has persisted through the high levels of change that have continued to characterize the school system in England since 2013. Using detailed analysis of educational attainment data, its primary focus is on determining whether the introduction in 2014 of significant changes to the primary curriculum and the national assessment frameworks in both primary and secondary phases affected the performance of London's schools in 2016, when the first examinations were taken under the new assessment systems.

Abstractor: As Provided

المؤلفون: Hayes, Sean M, Anderson, Kurt E

المصدر: Bulletin of Mathematical Biology. 82(1)

مصطلحات موضوعية: Biological Clocks, Mathematical Concepts, Models, Biological, Synchronization, Multilayer networks, Coupled oscillators, Mathematical Sciences, Biological Sciences, Bioinformatics

الوصف: We investigate how the structure of interactions between coupled oscillators influences the formation of asynchronous patterns in a multilayer network by formulating a simple, general multilayer oscillator model. We demonstrate the analysis of this model in three-oscillator systems, illustrating the role of interactions among oscillators in sustaining differences in both the phase and amplitude of oscillations leading to the formation of asynchronous patterns. Finally, we demonstrate the generalizability of our model's predictions through comparison with a more realistic multilayer model. Overall, our model provides a useful approach for predicting the types of asynchronous patterns that multilayer networks of coupled oscillators which cannot be achieved by the existing methods which focus on characterizing the synchronous state.

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/7bf6501cTest

المؤلفون: Hayes, Sean M, Anderson, Kurt E

المصدر: Bulletin of mathematical biology. 82(1)

مصطلحات موضوعية: Biological Clocks, Models, Biological, Mathematical Concepts, Coupled oscillators, Multilayer networks, Synchronization, Mathematical Sciences, Biological Sciences, Bioinformatics

الوصف: We investigate how the structure of interactions between coupled oscillators influences the formation of asynchronous patterns in a multilayer network by formulating a simple, general multilayer oscillator model. We demonstrate the analysis of this model in three-oscillator systems, illustrating the role of interactions among oscillators in sustaining differences in both the phase and amplitude of oscillations leading to the formation of asynchronous patterns. Finally, we demonstrate the generalizability of our model's predictions through comparison with a more realistic multilayer model. Overall, our model provides a useful approach for predicting the types of asynchronous patterns that multilayer networks of coupled oscillators which cannot be achieved by the existing methods which focus on characterizing the synchronous state.

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/7bf6501cTest