Search

Your search keyword '"Bailey, Steven"' showing total 1,548 results
Start Over Author "Bailey, Steven"
1,548 results on '"Bailey, Steven"'

152. ACCF/ACR/AIUM/ASE/IAC/SCAI/SCVS/SIR/SVM/SVS/SVU 2013 Appropriate Use Criteria for Peripheral Vascular Ultrasound and Physiological Testing Part II: Testing for Venous Disease and Evaluation of Hemodialysis Access: A Report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force

Author

Fazel, Reza, Findeiss, Laura, Fuchs, Richard, Gillespie, John, Gocke, John, Heggeness, Michael H., Hughes, Joseph P., Lilly, Michael P., Moore, Colleen, Pellerito, John S., Robbin, Michelle L., Rooke, Thom W., Rosenblatt, Melvin, Weaver, Fred A., White, Christopher J., Wolk, Michael J., Bailey, Steven R., Doherty, John U., Douglas, Pamela S., Haidari, Z. Jenissa, Hendel, Robert C., Kramer, Christopher M., Min, James K., Patel, Manesh R., Shaw, Leslee, Stainback, Raymond F., Allen, Joseph M., Gornik, Heather L., Gerhard-Herman, Marie D., Misra, Sanjay, Mohler, Emile R., III, and Zierler, R. Eugene

Published
2013
Full Text
View/download PDF

155. Gene Regulatory Network Construction Based on a Particle Swarm Optimization of a Long Short-term Memory Network

Author

Peters Nils, Zhou Zihao, Chai Xiangying, Sheikh Omar, Engelter Stefan, E. Meeroff Daniel, Tsai Kun-Zhe, Li Mingzi, Cong Rizhao, Jin Xiao-Ju, Lin Chin-Sheng, Cacciamani Andrea, Bruno Luca, Bloetscher Frederick, Tang Zhenhao, Li Jun, Squitti Rosanna, Bailey Steven, Li Yuan-Hai, Iles Matthew, Wang Qian, Li Yong, Cai Xue, Parmar Rajiv, Liu Shuling, Gulick Deven, Shi Lu, Rongioletti Mauro, Micera Alessandra, Lin Gen-Min, Bonati Leo, Saenger Evan, Jenoe Paul, Lyrer Philippe, Wang Yu, Chilton Robert, Zhao Yuewu, Yang Heng, Cao Shengxian, Luo Hong, Lu Yanhui, Sethi Rohan, Ji Mingyue, Jiang Hua, Han Chih-Lu, and Ritz Marie-Françoise

Subjects
Computational Mathematics, Long short term memory, Computer science, Distributed computing, Genetics, Gene regulatory network, Particle swarm optimization, Molecular Biology, Biochemistry
Abstract

Background: The Gene Regulatory Network (GRN) is a model for studying the function and behavior of genes by treating the genome as a whole, which can reveal the gene expression mechanism. However, due to the dynamics, nonlinearity, and complexity of gene expression data, it is a challenging task to construct a GRN precisely. And in the circulating cooling water system, the Slime-Forming Bacteria (SFB) is one of the bacteria that helps to form dirt. In order to explore the microbial fouling mechanism of SFB, constructing a GRN for the fouling-forming genes of SFB is significant. Objective: Propose an effective GRN construction method and construct a GRN for the foulingforming genes of SFB. Methods: In this paper, a combination method of Long Short-Term Memory Network (LSTM) and Mean Impact Value (MIV) was applied for GRN reconstruction. Firstly, LSTM was employed to establish a gene expression prediction model. To improve the performance of LSTM, a Particle Swarm Optimization (PSO) was introduced to optimize the weight and learning rate. Then, the MIV was used to infer the regulation among genes. In view of the fouling-forming problem of SFB, we have designed electromagnetic field experiments and transcriptome sequencing experiments to locate the fouling-forming genes and obtain gene expression data. Results: In order to test the proposed approach, the proposed method was applied to three datasets: a simulated dataset and two real biology datasets. By comparing with other methods, the experimental results indicate that the proposed method has higher modeling accuracy and it can be used to effectively construct a GRN. And at last, a GRN for fouling-forming genes of SFB was constructed using the proposed approach. Conclusion: The experiments indicated that the proposed approach can reconstruct a GRN precisely, and compared with other approaches, the proposed approach performs better in extracting the regulations among genes.

Published
2020

156. Racial Variations in Shock Presentation and Outcome

Author

Bailey, Steven

Subjects
FOS: Clinical medicine, FOS: Medical and health sciences
Abstract

Working toward inclusive strategies for data sampling, trials, and triage is essential. Whatever the approach, it is important to do better than what has been done in the past when considering race and ethnicity in patient care. Although there may be limited publications with information on this topic, they have shown clear differences in patient outcomes with possible associations with gender, race, and ethnicity. It is critical to view the implications of this on socioeconomic status, access, resources, patient phenotypes, and patient desires and expectations. The disparities must first be recognized before any treatment options can be identified., Bailey, Steven (2022) "Racial Variations in Shock Presentation and Outcome," Journal of Shock and Hemodynamics: Vol. 1(2) :E2022127

Published
2022
Full Text
View/download PDF

162. AMERICAN MERCHANT SAILORS AT SHAM SHUI PO AND STANLEY: The Fall of Hong Kong and the Fate of the Steamship Admiral Y. S. Williams.

Author

BAILEY, STEVEN K.

Abstract

Copyright of Journal of the Royal Asiatic Society Hong Kong is the property of Royal Asiatic Society Hong Kong and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2023

163. Deep learning-based signal-independent assessment of macular avascular area on 6×6 mm optical coherence tomography angiogram in diabetic retinopathy: a comparison to instrument-embedded software.

Author

Honglian Xiong, Qi Sheng You, Yukun Guo, Jie Wang, Bingjie Wang, Liqin Gao, Flaxel, Christina J., Bailey, Steven T., Hwang, Thomas S., and Yali Jia

Abstract

Synopsis A deep-learning-based macular extrafoveal avascular area (EAA) on a 6×6 mm optical coherence tomography (OCT) angiogram is less dependent on the signal strength and shadow artefacts, providing better diagnostic accuracy for diabetic retinopathy (DR) severity than the commercial software measured extrafoveal vessel density (EVD). Aims To compare a deep-learning-based EAA to commercial output EVD in the diagnostic accuracy of determining DR severity levels from 6×6 mm OCT angiography (OCTA) scans. Methods The 6×6 mm macular OCTA scans were acquired on one eye of each participant with a spectraldomain OCTA system. After excluding the central 1 mm diameter circle, the EAA on superficial vascular complex was measured with a deep-learning-based algorithm, and the EVD was obtained with commercial software. Results The study included 34 healthy controls and 118 diabetic patients. EAA and EVD were highly correlated with DR severity (ρ=0.812 and -0.577, respectively, both p<0.001) and visual acuity (r=-0.357 and 0.420, respectively, both p<0.001). EAA had a significantly (p<0.001) higher correlation with DR severity than EVD. With the specificity at 95%, the sensitivities of EAA for differentiating diabetes mellitus (DM), DR and severe DR from control were 80.5%, 92.0% and 100.0%, respectively, significantly higher than those of EVD 11.9% (p=0.001), 13.6% (p<0.001) and 15.8% (p<0.001), respectively. EVD was significantly correlated with signal strength index (SSI) (r=0.607, p<0.001) and shadow area (r=-0.530, p<0.001), but EAA was not (r=-0.044, p=0.805 and r=-0.046, p=0.796, respectively). Adjustment of EVD with SSI and shadow area lowered sensitivities for detection of DM, DR and severe DR. Conclusion Macular EAA on 6×6 mm OCTA measured with a deep learning-based algorithm is less dependent on the signal strength and shadow artefacts, and provides better diagnostic accuracy for DR severity than EVD measured with the instrument-embedded software. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

165. 2012 ACCF/AATS/SCAI/STS Expert Consensus Document on Transcatheter Aortic Valve Replacement: Developed in collaboration with the American Heart Association, American Society of Echocardiography, European Association for Cardio-Thoracic Surgery, Heart Failure Society of America, Mended Hearts, Society of Cardiovascular Anesthesiologists, Society of Cardiovascular Computed Tomography, and Society for Cardiovascular Magnetic Resonance

Author

Holmes, David R., Jr., Mack, Michael J., Kaul, Sanjay, Agnihotri, Arvind, Alexander, Karen P., Bailey, Steven R., Calhoon, John H., Carabello, Blase A., Desai, Milind Y., Edwards, Fred H., Francis, Gary S., Gardner, Timothy J., Kappetein, A. Pieter, Linderbaum, Jane A., Mukherjee, Chirojit, Mukherjee, Debabrata, Otto, Catherine M., Ruiz, Carlos E., Sacco, Ralph L., Smith, Donnette, and Thomas, James D.

Published
2012
Full Text
View/download PDF

167. Atrial shunt device for heart failure with preserved and mildly reduced ejection fraction (REDUCE LAP-HF II): a randomised, multicentre, blinded, sham-controlled trial

Author

Shah, Sanjiv J, primary, Borlaug, Barry A, additional, Chung, Eugene S, additional, Cutlip, Donald E, additional, Debonnaire, Philippe, additional, Fail, Peter S, additional, Gao, Qi, additional, Hasenfuß, Gerd, additional, Kahwash, Rami, additional, Kaye, David M, additional, Litwin, Sheldon E, additional, Lurz, Philipp, additional, Massaro, Joseph M, additional, Mohan, Rajeev C, additional, Ricciardi, Mark J, additional, Solomon, Scott D, additional, Sverdlov, Aaron L, additional, Swarup, Vijendra, additional, van Veldhuisen, Dirk J, additional, Winkler, Sebastian, additional, Leon, Martin B, additional, Akar, Joseph, additional, Ando, Jiro, additional, Anzai, Toshihisa, additional, Asakura, Masanori, additional, Bailey, Steven, additional, Basuray, Anupam, additional, Bauer, Fabrice, additional, Bergmann, Martin, additional, Blair, John, additional, Cavendish, Jeffrey, additional, Chung, Eugene, additional, Cikes, Maja, additional, Dauber, Ira, additional, Donal, Erwan, additional, Eicher, Jean-Christophe, additional, Fail, Peter, additional, Flaherty, James, additional, Freixa, Xavier, additional, Gafoor, Sameer, additional, Gertz, Zachary, additional, Gordon, Robert, additional, Guazzi, Marco, additional, Guerrero-Miranda, Cesar, additional, Gupta, Deepak, additional, Gustafsson, Finn, additional, Hadadi, Cyrus, additional, Hakemi, Emad, additional, Handoko, Louis, additional, Hass, Moritz, additional, Hausleiter, Jorg, additional, Hayward, Christopher, additional, Hickey, Gavin, additional, Hummel, Scott, additional, Hussain, Imad, additional, Isnard, Richard, additional, Izumi, Chisato, additional, Jondeau, Guillaume, additional, Juneman, Elizabeth, additional, Kinugawa, Koichiro, additional, Kipperman, Robert, additional, Krakowiak, Bartek, additional, Krim, Selim, additional, Larned, Joshua, additional, Lewis, Gregory, additional, Lipsic, Erik, additional, Magalski, Anthony, additional, Mazimba, Sula, additional, Mazurek, Jeremy, additional, McGrady, Michele, additional, Mckenzie, Scott, additional, Mehta, Shamir, additional, Mignone, John, additional, Morsli, Hakim, additional, Nair, Ajith, additional, Noel, Thomas, additional, Orford, James, additional, Parikh, Kishan, additional, Patterson, Tiffany, additional, Penicka, Martin, additional, Petrie, Mark, additional, Pieske, Burkert, additional, Post, Martijn, additional, Raake, Philip, additional, Romero, Alicia, additional, Ryan, John, additional, Saito, Yoshihiko, additional, Sakamoto, Takafumi, additional, Sakata, Yasushi, additional, Samara, Michael, additional, Satya, Kumar, additional, Sindone, Andrew, additional, Starling, Randall, additional, Trochu, Jean-Noël, additional, Upadhya, Bharathi, additional, van der Heyden, Jan, additional, van Empel, Vanessa, additional, Varma, Amit, additional, Vest, Amanda, additional, Wengenmayer, Tobias, additional, Westenfeld, Ralf, additional, Westermann, Dirk, additional, Yamamoto, Kazuhiro, additional, and Zirlik, Andreas, additional

Published
2022
Full Text
View/download PDF

168. The Spectrum of Acute Cerebrovascular Disease in Patients with COVID-19

Author

Triay, Rachel, primary, Buchhanolla, Prabandh, additional, Gaudet, Alexas, additional, Winter, Victoria, additional, Gaudet, Alexandra, additional, Riel-Romero, Rosario Maria S., additional, Javalkar, Vijayakumar, additional, Kelley, Roger E., additional, Ansari, Junaid, additional, Faraji, Mehdi, additional, Gonzalez-Toledo, Eduardo, additional, Cuellar-Saenz, Hugo H., additional, Bailey, Steven, additional, Siddaiah, Harish, additional, and Gavins, Felicity N. E., additional

Published
2022
Full Text
View/download PDF

171. Pesticides

Author

Bailey, Steven, primary, Reade, John P. H., additional, Burn, Alastair, additional, and Zappala, Susan, additional

Published
2016
Full Text
View/download PDF

173. Automation of large pavement test vehicle

Author

Nguyen, Hoa G., Muench, Paul L., Skibba, Brian K., Robinson, Brian, Hays, Collin, Benton, Desmond, Jetton, John, Spencer, Caleb, Hall, Kevin, Craft, Scott, Rutland, Austin, Wade, Adam, English, Woody, Bailey, Steven, and Diltz, Robert

Published
2023
Full Text
View/download PDF

174. Automated Macular Fluid Volume As a Treatment Indicator for Diabetic Macular Edema

Author

Tsuboi, Kotaro, You, Qi Sheng, Guo, Yukun, Wang, Jie, Flaxel, Christina J., Bailey, Steven T., Huang, David, Jia, Yali, and Hwang, Thomas S.

Abstract

Introduction:To assess the diagnostic accuracy of automatically quantified macular fluid volume (MFV) for treatment-required diabetic macular edema (DME). Methods: This retrospective cross-sectional study included eyes with DME. The commercial software on optical coherence tomography (OCT) produced the central subfield thickness (CST), and a custom deep-learning algorithm automatically segmented the fluid cysts and quantified the MFV from the volumetric scans of an OCT angiography system. Retina specialists treated patients per standard of care based on clinical and OCT findings without access to the MFV. The main outcome measures were the area under the receiver operating characteristic curve (AUROC), sensitivity, and specificity of the CST, MFV, and visual acuity (VA) for treatment indication. Results: Of 139 eyes, 39 (28%) were treated for DME during the study period and 101 (72%) were previously treated. The algorithm detected fluid in all eyes; however, only 54 eyes (39%) met the DRCR.net criteria for center-involved ME. The AUROC of MFV predicting a treatment decision of 0.81 was greater than that of CST (0.67) (P= .0048). Untreated eyes that met the optimal threshold for treatment-required DME based on MFV (>0.031 mm3) had better VA than treated eyes (P= .0053). A multivariate logistic regression model showed that MFV (P= .0008) and VA (P= .0061) were significantly associated with a treatment decision, but CST was not. Conclusions: MFV had a higher correlation with the need for treatment for DME than CST and may be especially useful for ongoing management of DME.

Published
2023
Full Text
View/download PDF

180. 2015 ACC/AHA/SCAI focused update on primary percutaneous coronary intervention for patients with ST-elevation myocardial Infarction: An update of the 2011 ACCF/AHA/SCAI guideline for percutaneous coronary intervention and the 2013 ACCF/AHA guideline for the management of ST-elevation myocardial infarction: A report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Society for Cardiovascular Angiography and Interventions

Author

Levine, Glenn N., Bates, Eric R., Blankenship, James C., Bailey, Steven R., Bittl, John A., Cercek, Bojan, Chambers, Charles E., Ellis, Stephen G., Guyton, Robert A., Hollenberg, Steven M., Khot, Umesh N., Lange, Richard A., Mauri, Laura, Mehran, Roxana, Moussa, Issam D., Mukherjee, Debabrata, Ting, Henry H., OʼGara, Patrick T., Kushner, Frederick G., Ascheim, Deborah D., Brindis, Ralph G., Casey, Donald E., Jr, Chung, Mina K., de Lemos, James A., Diercks, Deborah B., Fang, James C., Franklin, Barry A., Granger, Christopher B., Krumholz, Harlan M., Linderbaum, Jane A., Morrow, David A., Newby, Kristin L., Ornato, Joseph P., Ou, Narith, Radford, Martha J., Tamis-Holland, Jacqueline E., Tommaso, Carl L., Tracy, Cynthia M., Woo, Joseph Y., Zhao, David X., Halperin, Jonathan L., Levine, Glenn N., Anderson, Jeffrey L., Albert, Nancy M., Al-Khatib, Sana M., Birtcher, Kim K., Bozkurt, Biykem, Brindis, Ralph G., Cigarroa, Joaquin E., Curtis, Lesley H., Fleisher, Lee A., Gentile, Federico, Gidding, Samuel, Hlatky, Mark A., Ikonomidis, John, Joglar, Jose, Kovacs, Richard J., Ohman, Magnus E., Pressler, Susan J., Sellke, Frank W., Shen, Win-Kuang, and Wijeysundera, Duminda N.

Published
2016
Full Text
View/download PDF

194. Deep learning-based signal-independent assessment of macular avascular area on 6×6 mm optical coherence tomography angiogram in diabetic retinopathy: a comparison to instrument-embedded software

Author

Xiong, Honglian, primary, You, Qi Sheng, additional, Guo, Yukun, additional, Wang, Jie, additional, Wang, Bingjie, additional, Gao, Liqin, additional, Flaxel, Christina J, additional, Bailey, Steven T, additional, Hwang, Thomas S, additional, and Jia, Yali, additional

Published
2021
Full Text
View/download PDF

195. Glucocorticoid Inhibition of Estrogen Regulation of the Serotonin Receptor 2B in Cardiomyocytes Exacerbates Cell Death in Hypoxia/Reoxygenation Injury

Author

Dhaibar, Hemangini A., primary, Carroll, Natalie G., additional, Amatya, Shripa, additional, Kamberov, Lilly, additional, Khanna, Pranshu, additional, Orr, A. Wayne, additional, Bailey, Steven R., additional, Oakley, Robert H., additional, Cidlowski, John A., additional, and Cruz‐Topete, Diana, additional

Published
2021
Full Text
View/download PDF

196. Reticular Pseudodrusen Characteristics and Associations in the Carotenoids in Age-Related Eye Disease Study 2 (CAREDS2), an Ancillary Study of the Women’s Health Initiative

Author

Cleland, Spencer C., primary, Domalpally, Amitha, additional, Liu, Zhe, additional, Pak, Jeong W., additional, Blodi, Barbara A., additional, Bailey, Steven, additional, Gehrs, Karen, additional, Wallace, Robert, additional, Tinker, Lesley, additional, Mares, Julie A., additional, Mares, Julie, additional, Blodi, Barbara, additional, Liu, Yao, additional, Engelman, Corinne, additional, Gangnon, Ronald, additional, Sarto, Gloria, additional, LeBlanc, Erin, additional, Robinson, Jennifer, additional, Snodderly, D. Max, additional, Hammond, Randy, additional, Millen, Amy, additional, Johnson, Elizabeth, additional, Wooten, Bill, additional, Maykoski, Jennifer, additional, Lundquist, Ann, additional, Smith, Chris, additional, Wood, Kim, additional, Perry-Raymond, Jennie, additional, Stockman, Heather, additional, Walshire, Jean, additional, Sinkey, Christine, additional, Lawler, Thomas, additional, Blomme, Courtney, additional, Hall, Kristen, additional, Pauk, Diane, additional, Alexander, Sherri, additional, Mezhibovsky, Esther, additional, Christensen, Krista, additional, and Nalbandyan, Marine, additional

Published
2021
Full Text
View/download PDF

198. Deep learning-based signal-independent assessment of macular avascular area on 6×6 mm optical coherence tomography angiogram in diabetic retinopathy: a comparison to instrument-embedded software

Author

Xiong, Honglian, You, Qi Sheng, Guo, Yukun, Wang, Jie, Wang, Bingjie, Gao, Liqin, Flaxel, Christina J, Bailey, Steven T, Hwang, Thomas S, and Jia, Yali

Abstract

SynopsisA deep-learning-based macular extrafoveal avascular area (EAA) on a 6×6 mm optical coherence tomography (OCT) angiogram is less dependent on the signal strength and shadow artefacts, providing better diagnostic accuracy for diabetic retinopathy (DR) severity than the commercial software measured extrafoveal vessel density (EVD).AimsTo compare a deep-learning-based EAA to commercial output EVD in the diagnostic accuracy of determining DR severity levels from 6×6 mm OCT angiography (OCTA) scans.MethodsThe 6×6 mm macular OCTA scans were acquired on one eye of each participant with a spectral-domain OCTA system. After excluding the central 1 mm diameter circle, the EAA on superficial vascular complex was measured with a deep-learning-based algorithm, and the EVD was obtained with commercial software.ResultsThe study included 34 healthy controls and 118 diabetic patients. EAA and EVD were highly correlated with DR severity (ρ=0.812 and −0.577, respectively, both p<0.001) and visual acuity (r=−0.357 and 0.420, respectively, both p<0.001). EAA had a significantly (p<0.001) higher correlation with DR severity than EVD. With the specificity at 95%, the sensitivities of EAA for differentiating diabetes mellitus (DM), DR and severe DR from control were 80.5%, 92.0% and 100.0%, respectively, significantly higher than those of EVD 11.9% (p=0.001), 13.6% (p<0.001) and 15.8% (p<0.001), respectively. EVD was significantly correlated with signal strength index (SSI) (r=0.607, p<0.001) and shadow area (r=−0.530, p<0.001), but EAA was not (r=−0.044, p=0.805 and r=−0.046, p=0.796, respectively). Adjustment of EVD with SSI and shadow area lowered sensitivities for detection of DM, DR and severe DR.ConclusionMacular EAA on 6×6 mm OCTA measured with a deep learning-based algorithm is less dependent on the signal strength and shadow artefacts, and provides better diagnostic accuracy for DR severity than EVD measured with the instrument-embedded software.

Published
2023
Full Text
View/download PDF

199. Advising Transfer Military Students

Author

Bailey, Steven

Abstract

Today's students can come from a larger area than just high school. With the entire world's conflicts and today's society, more and more of our present day students may have come from the military ranks. Though we have not come to an actual draft system, more and more modern day students have served their time in the military, to keep America strong, these strong-willed younger folks have been populating our colleges and universities. They are anxious to start a new life and want to feel as if they are part of the university system.

Published
2011

Catalog

Books, media, physical & digital resources
See catalog results