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2. Quality of life after pharmacomechanical catheter-directed thrombolysis for proximal deep vein thrombosis

Author

Susan R. Kahn, Jim A. Julian, Clive Kearon, Chu-Shu Gu, David J. Cohen, Elizabeth A. Magnuson, Anthony J. Comerota, Samuel Z. Goldhaber, Michael R. Jaff, Mahmood K. Razavi, Andrei L. Kindzelski, Joseph R. Schneider, Paul Kim, Rabih Chaer, Akhilesh K. Sista, Robert B. McLafferty, John A. Kaufman, Brandt C. Wible, Morey Blinder, Suresh Vedantham, Michael Sichlau, Athanasios Vlahos, Steven Smith, Quinn Thalheimer, Nisha Singh, Rekha Harting, John Gocke, Scott Guth, Neel Shah, Paul Brady, Marvin Schatz, Mindy Horrow, Peyman Markazi, Leli Forouzan, Terence A.S. Matalon, David Hertzog, Swapna Goday, Margaret Kennedy, Robert Kaplan, Thomas Campbell, Jamie Hartman, Elmer Nahum, Arvind Venkat, Venkataramu Krishnamurthy, John Rectenwald, Peter Henke, Jonathan Eliason, Jonathon Willatt, Guillermo Escobar, Shaun Samuels, Barry Katzen, James Benenati, Alex Powell, Constantino Pena, Howard Wallach, Ripal Gandhi, Joseph Schneider, Stanley Kim, Farrah Hashemi, Joseph Boyle, Nilesh Patel, Michael Verta, Daniel Leung, Marc Garcia, Phillip Blatt, Jamil Khatri, Dave Epstein, Randall Ryan, Tom Sweeny, Michael Stillabower, George Kimbiris, Tuhina Raman, Paul Sierzenski, Lelia Getto, Michael Dignazio, Mark Horvath, Heather Gornik, John Bartholomew, Mehdi Shishehbor, Frank Peacock, Douglas Joseph, Soo Hyum Kim, Natalia Fendrikova Mahlay, Daniel Clair, Sean Lyden, Baljendra Kapoor, Gordon McLennon, Gregory Pierce, James Newman, James Spain, Amanjiit Gill, Aaron Hamilton, Anthony Rizzo, Woosup Park, Alan Dietzek, Ira Galin, Dahlia Plummer, Richard Hsu, Patrick Broderick, Andrew Keller, Sameer Sayeed, Dennis Slater, Herb Lustberg, Jan Akus, Robert Sidman, Mandeep Dhami, Phillip Kohanski, Anca Bulgaru, Renuka Dulala, James Burch, Dinesh Kapur, Jie Yang, Mark Ranson, Alan Wladis, David Varnagy, Tarek Mekhail, Robert Winter, Manuel Perez-Izquierdo, Stephen Motew, Robin Royd-Kranis, Raymond Workman, Scott Kribbs, Gerald Hogsette, Phillip Moore, Bradley Thomason, William Means, Richard Bonsall, John Stewart, Daniel Golwya, Ezana Azene, Wayne Bottner, William Bishop, Dave Clayton, Lincoln Gundersen, Jody Riherd, Irina Shakhnovich, Kurt Ziegelbein, Thomas Chang, Karun Sharma, Sandra Allison, Fil Banovac, Emil Cohen, Brendan Furlong, Craig Kessler, Mike McCullough, Jim Spies, Judith Lin, Scott Kaatz, Todd Getzen, Joseph Miller, Scott Schwartz, Loay Kabbani, David McVinnie, John Rundback, Joseph Manno, Richard Schwab, Randolph Cole, Kevin Herman, David Singh, Ravit Barkama, Amish Patel, Anthony Comerota, John Pigott, Andrew Seiwert, Ralph Whalen, Todd Russell, Zakaria Assi, Sahira Kazanjian, Jonathan Yobbagy, Brian Kaminski, Allan Kaufman, Garett Begeman, Robert DiSalle, Subash Thakur, Marc Jacquet, Thomas Dykes, Joseph Gerding, Christopher Baker, Mark Debiasto, Derek Mittleider, George Higgins, Steven Amberson, Roger Pezzuti, Thomas Gallagher, Robert Schainfeld, Stephan Wicky, Sanjeeva Kalva, Gregory Walker, Gloria Salazar, Benjamin Pomerantz, Virenda Patel, Christopher Kabrhel, Shams Iqbal, Suvranu Gangull, Rahmi Oklu, Scott Brannan, Sanjay Misra, Haraldur Bjarnason, Aneel Ashrani, Michael Caccavale, Chad Fleming, Jeremy Friese, John Heit, Manju Kalra, Thanila Macedo, Robert McBane, Michael McKusick, Andrew Stockland, David Woodrum, Waldemar Wysokinski, Adarsh Verma, Andrew Davis, Jerry Chung, David Nicker, Brian Anderson, Robert Stein, Michael Weiss, Parag Patel, William Rilling, Sean Tutton, Robert Hieb, Eric Hohenwalter, M. Riccardo Colella, James Gosset, Sarah White, Brian Lewis, Kellie Brown, Peter Rossi, Gary Seabrook, Marcelo Guimaraes, J. Bayne Selby, William McGary, Christopher Hannegan, Jacob Robison, Thomas Brothers, Bruce Elliott, Nitin Garg, M. Bret Anderson, Renan Uflacker, Claudio Schonholz, Laurence Raney, Charles Greenberg, John Kaufman, Frederick Keller, Kenneth Kolbeck, Gregory Landry, Erica Mitchell, Robert Barton, Thomas DeLoughery, Norman Kalbfleisch, Renee Minjarez, Paul Lakin, Timothy Liem, Gregory Moneta, Khashayar Farsad, Ross Fleischman, Loren French, Vasco Marques, Yasir Al−Hassani, Asad Sawar, Frank Taylor, Rajul Patel, Rahul Malhotra, Farah Hashemi, Marvin Padnick, Melissa Gurley, Fred Cucher, Ronald Sterrenberg, G. Reshmaal Deepthi, Gomes Cumaranatunge, Sumit Bhatla, Darick Jacobs, Eric Dolen, Pablo Gamboa, L. Mark Dean, Thomas Davis, John Lippert, Sanjeev Khanna, Brian Schirf, Jeffrey Silber, Donald Wood, J. Kevin McGraw, Lucy LaPerna, Paul Willette, Timothy Murphy, Joselyn Cerezo, Rajoo Dhangana, Sun Ho Ahn, Gregory Dubel, Richard Haas, Bryan Jay, Ethan Prince, Gregory Soares, James Klinger, Robert Lambiase, Gregory Jay, Robert Tubbs, Michael Beland, Chris Hampson, Ryan O'Hara, Chad Thompson, Aaron Frodsham, Fenwick Gardiner, Abdel Jaffan, Lawrence Keating, Abdul Zafar, Radica Alicic, Rodney Raabe, Jayson Brower, David McClellan, Thomas Pellow, Christopher Zylak, Joseph Davis, M. Kathleen Reilly, Kenneth Symington, Camerson Seibold, Ryan Nachreiner, Daniel Murray, Stephen Murray, Sandeep Saha, Gregory Luna, Kim Hodgson, Robert McLafferty, Douglas Hood, Colleen Moore, David Griffen, Darren Hurst, David Lubbers, Daniel Kim, Brent Warren, Jeremy Engel, D.P. Suresh, Eric VanderWoude, Rahul Razdan, Mark Hutchins, Terry Rounsborg, Madhu Midathada, Daniel Moravec, Joni Tilford, Joni Beckman, Mahmood Razavi, Kurt Openshaw, D. Preston Flanigan, Christopher Loh, Howard Dorne, Michael Chan, Jamie Thomas, Justin Psaila, Michael Ringold, Jay Fisher, Any Lipcomb, Timothy Oskin, Brandt Wible, Brendan Coleman, David Elliott, Gary Gaddis, C. Doug Cochran, Kannan Natarajan, Stewart Bick, Jeffrey Cooke, Ann Hedderman, Anne Greist, Lorrie Miller, Brandon Martinez, Vincent Flanders, Mark Underhill, Lawrence Hofmann, Daniel Sze, William Kuo, John Louie, Gloria Hwang, David Hovsepian, Nishita Kothary, Caroline Berube, Donald Schreiber, Brooke Jeffrey, Jonathan Schor, Jonathan Deitch, Kuldeep Singh, Barry Hahn, Brahim Ardolic, Shilip Gupta, Riyaz Bashir, Angara Koneti Rao, Manish Garg, Pravin Patil, Chad Zack, Gary Cohen, Frank Schmieder, Valdimir Lakhter, David Sacks, Robert Guay, Mark Scott, Karekin Cunningham, Adam Sigal, Terrence Cescon, Nick Leasure, Thiruvenkatasamy Dhurairaj, Patrick Muck, Kurt Knochel, Joann Lohr, Jose Barreau, Matthew Recht, Jayapandia Bhaskaran, Ranga Brahmamdam, David Draper, Apurva Mehta, James Maher, Melhem Sharafuddin, Steven Lentz, Andrew Nugent, William Sharp, Timothy Kresowik, Rachel Nicholson, Shiliang Sun, Fadi Youness, Luigi Pascarella, Charles Ray, Martha-Gracia Knuttinen, James Bui, Ron Gaba, Valerie Dobiesz, Ejaz Shamim, Sangeetha Nimmagadda, David Peace, Aarti Zain, Alison Palumto, Ziv Haskal, Jon Mark Hirshon, Howard Richard, Avelino Verceles, Jade Wong-You-Chong, Bertrand Othee, Rahul Patel, Bogdan Iliescu, David Williams, Joseph Gemmete, Wojciech Cwikiel, Kyung Cho, James Schields, Ranjith Vellody, Paula Novelli, Narasimham Dasika, Thomas Wakefield, Jeffrey Desmond, James Froehlich, Minhajuddin Khaja, David Hunter, Jafar Golzarian, Erik Cressman, Yvonne Dotta, Nate Schmiechen, John Marek, David Garcia, Isaac Tawil, Mark Langsfeld, Stephan Moll, Matthew Mauro, Joseph Stavas, Charles Burke, Robert Dixon, Hyeon Yu, Blair Keagy, Kyuny Kim, Raj Kasthuri, Nigel Key, Michael Makaroun, Robert Rhee, Jae−Sung Cho, Donald Baril, Luke Marone, Margaret Hseih, Kristian Feterik, Roy Smith, Geetha Jeyabalan, Jennifer Rogers, Russel Vinik, Dan Kinikini, Larry Kraiss, Michelle Mueller, Robert Pendleton, Matthew Rondina, Mark Sarfati, Nathan Wanner, Stacy Johnson, Christy Hopkins, Daniel Ihnat, John Angle, Alan Matsumoto, Nancy Harthun, Ulku Turba, Wael Saad, Brian Uthlaut, Srikant Nannapaneni, David Ling, Saher Sabri, John Kern, B. Gail Macik, George Hoke, Auh Wahn Park, James Stone, Benjamin Sneed, Scott Syverud, Kelly Davidson, Aditya Sharma, Luke Wilkins, Carl Black, Mark Asay, Daniel Hatch, Robert Smilanich, Craig Patten, S. Douglas Brown, Ryan Nielsen, William Alward, John Collins, Matthew Nokes, Randolph Geary, Matthew Edwards, Christopher Godshall, Pavel Levy, Ronald Winokur, Akhilesh Sista, David Madoff, Kyungmouk Lee, Bradley Pua, Maria DeSancho, Raffaele Milizia, Jing Gao, Gordon McLean, Sanualah Khalid, Larry Lewis, Nael Saad, Mark Thoelke, Robert Pallow, Seth Klein, Gregorio Sicard, Heather L. Gornik, Jim Julian, Stephen Kee, Lawrence Lewis, Elizabeth Magnuson, and Timothy P. Murphy

Subjects
Adult, Male, medicine.medical_specialty, Time Factors, Mechanical Thrombolysis, medicine.medical_treatment, Catheter directed thrombolysis, 030204 cardiovascular system & hematology, Iliac Vein, Article, law.invention, 03 medical and health sciences, 0302 clinical medicine, Fibrinolytic Agents, Quality of life, Randomized controlled trial, law, Surveys and Questionnaires, Internal medicine, Epidemiology, Medicine, Humans, In patient, Thrombolytic Therapy, 030212 general & internal medicine, cardiovascular diseases, Thrombus, Venous Thrombosis, business.industry, Thrombolysis, Femoral Vein, Middle Aged, medicine.disease, United States, humanities, 3. Good health, Venous thrombosis, Treatment Outcome, Quality of Life, Female, Surgery, Cardiology and Cardiovascular Medicine, business
Abstract

After deep venous thrombosis (DVT), many patients have impaired quality of life (QOL). We aimed to assess whether pharmacomechanical catheter-directed thrombolysis (PCDT) improves short-term or long-term QOL in patients with proximal DVT and whether QOL is related to extent of DVT.The Acute Venous Thrombosis: Thrombus Removal with Adjunctive Catheter-Directed Thrombolysis (ATTRACT) trial was an assessor-blinded randomized trial that compared PCDT with no PCDT in patients with DVT of the femoral, common femoral, or iliac veins. QOL was assessed at baseline and 1 month, 6 months, 12 months, 18 months, and 24 months using the Venous Insufficiency Epidemiological and Economic Study on Quality of Life/Symptoms (VEINES-QOL/Sym) disease-specific QOL measure and the 36-Item Short Form Health Survey (SF-36) physical component summary (PCS) and mental component summary general QOL measures. Change in QOL scores from baseline to assessment time were compared in the PCDT and no PCDT treatment groups overall and in the iliofemoral DVT and femoral-popliteal DVT subgroups.Of 692 ATTRACT patients, 691 were analyzed (mean age, 53 years; 62% male; 57% iliofemoral DVT). VEINES-QOL change scores were greater (ie, better) in PCDT vs no PCDT from baseline to 1 month (difference, 5.7; P = .0006) and from baseline to 6 months (5.1; P = .0029) but not for other intervals. SF-36 PCS change scores were greater in PCDT vs no PCDT from baseline to 1 month (difference, 2.4; P = .01) but not for other intervals. Among iliofemoral DVT patients, VEINES-QOL change scores from baseline to all assessments were greater in the PCDT vs no PCDT group; this was statistically significant in the intention-to-treat analysis at 1 month (difference, 10.0; P .0001) and 6 months (8.8; P .0001) and in the per-protocol analysis at 18 months (difference, 5.8; P = .0086) and 24 months (difference, 6.6; P = .0067). SF-36 PCS change scores were greater in PCDT vs no PCDT from baseline to 1 month (difference, 3.2; P = .0010) but not for other intervals. In contrast, in femoral-popliteal DVT patients, change scores from baseline to all assessments were similar in the PCDT and no PCDT groups.Among patients with proximal DVT, PCDT leads to greater improvement in disease-specific QOL than no PCDT at 1 month and 6 months but not later. In patients with iliofemoral DVT, PCDT led to greater improvement in disease-specific QOL during 24 months.

Published
2020

3. Effect of primary tumor side on survival outcomes in untreated patients with metastatic colorectal cancer when selective internal radiation therapy is added to chemotherapy : combined analysis of two randomized controlled studies

Author

Peter Gibbs, Volker Heinemann, Navesh K. Sharma, Julien Taieb, Jens Ricke, Marc Peeters, Michael Findlay, Bridget Robinson, Christopher Jackson, Andrew Strickland, Val Gebski, Mark Van Buskirk, Huaqing Zhao, Guy van Hazel, Michael Brown, Matthew Burge, Giuseppe Cardaci, Stephen Clarke, Paul Eliadis, Tom Ferguson, Vinod Ganju, Philip James, Chris Karapetis, Winston Liauw, Gavin Marx, Marco Matos, Louise Nott, Nick Pavlakis, Alex Powell, Timothy Price, David Ransom, Eva Segelov, Jenny Shannon, Nimit Singhal, Euan Walpole, Michel Craninx, Thierry Delaunoit, Amélie Deleporte, Michel Ferrante, Karen Geboes, Alain Hendlisz, Koen Hendrickx, Marc De Man, Els Monsaert, Veerle Moons, Marc Polus, Eveline Boucher, Jacques Balosso, Patrick Chevallier, Samy Louafi, Marc Pracht, Christine Rebischung, Denis Smith, Eric Terrebonne, Harald-Robert Bruch, Gerald Gehbauer, Thomas Helmberger, Yon-Dschun Ko, Hendrik Kröning, Frank Lammert, Arnd Nusch, Stefan Pluntke, Karsten Ridwelski, Jorge Riera-Knorrenschild, Hanno Riess, Jorge Ramon Riera, Tilmann Sauerbruch, Klemens Scheidhauer, Oliver Stötzer, Klaus Tatsch, Ursula Vehling-Kaiser, Thomas Vogl, Alex Beny, Ravit Geva, Einat Shacham-Shmueli, Salomon Stemmer, Thomas Tichler, Ido Wolf, Bruna Angelelli, Andrea Martoni, Michael P.N. Findlay, Richard Isaacs, Anne O’Donnell, David Perez, Bridget A. Robinson, Javier Rodríguez, Ruth Vera-Garcia, Pradip Amin, Daniel Bloomgarden, James Bui, James Carlisle, Seungjean Chai, Yi-Jen Chen, Michael Chuong, Andrew Coveler, Francis Facchini, Gary Frenette, Jacob Frick, Michael Garofalo, Benjamin George, Michael Gordon, Seza Gulec, James Hannigan, Matthew Holtzman, Andreas Kaubisch, Adeel Kaiser, Todd Kooy, Steven Limentani, Jeffrey Margolis, Robert Martin, Howard Ozer, Siddarth Padia, William Rilling, Michael Savin, Elyse Schneiderman, Grant Seeger, Navesh Sharma, Stephen Shibata, Randall Smith, Eric Wang, Samuel Whiting, Morteza Aghmesheh, Mathew Burge, Prasad Cooray, Kynan Feeney, Lionel Lim, Madhu Singh, Craig Underhill, Amelie Deleporte, Aurelie Durand, Sandrine Faivre, Aurelie Ferru, Pascal Hammel, Christoph Bremer, Maike De Wit, Hubert Ayala, Norman Heching, Adi Shani, Cristina Granetto, Gianluca Masi, Stefania Mosconi, Gianmauro Numico, Antonio Trogu, Yeul Hong Kim, Han Sae-Won, Chris Jackson, Anne O'Donnell, Maria Fragoso, Iain Tan, Ana Ruiz Casado, Jin Tung Liang, Jin Hwang Liu, Steven Ades, Miklos Auber, Patrick Boland, Charles Bowers, Martin Crain, Kyran Dowling, Renuka Iyer, Lynn Ratner, Federico Sanchez, Patricia Stoltzfus, Mark Westcott, SIRFLOX Global Trial Investigator, and FOXFIRE Global Trial Investigator

Subjects
Oncology, Male, medicine.medical_specialty, Colorectal cancer, medicine.medical_treatment, Brachytherapy, Left-sided primary, 030218 nuclear medicine & medical imaging, Cohort Studies, 03 medical and health sciences, Folinic acid, 0302 clinical medicine, Internal medicine, Overall survival, Right-sided primary, SIRT, mCRC, Antineoplastic Combined Chemotherapy Protocols, medicine, Humans, Survival rate, Aged, Chemotherapy, business.industry, Selective internal radiation therapy, Liver Neoplasms, Gastroenterology, Chemoradiotherapy, medicine.disease, Prognosis, Primary tumor, Oxaliplatin, Survival Rate, 030220 oncology & carcinogenesis, Female, Human medicine, business, Colorectal Neoplasms, medicine.drug, Follow-Up Studies
Abstract

The primary tumor side is emerging as a prognostic factor for patients with liver metastatic colorectal cancer (mCRC). In a combined analysis of data from 2 randomized studies, the addition of selective internal radiation therapy to first-line chemotherapy in patients with mCRC was associated with statistically and clinically significant overall survival gains for patients with a right-sided primary tumor. Background: The primary tumor side is emerging as a major prognostic factor for patients with metastatic colorectal cancer (mCRC). We examined the survival data from 2 randomized studies to determine whether the outcomes differ between patients with mCRC with right-sided primary (RSP) tumors and those with left-sided primary (LSP) tumors after selective internal radiation therapy (SIRT) plus mFOLFOX6 (folinic acid [leucovorin], 5-fluorouracil, oxaliplatin) chemotherapy, versus chemotherapy alone. Patients and Methods: Separate and combined analyses were performed on the data from the SIRFLOX and FOXFIRE global trials, which compared chemotherapy plus SIRT with chemotherapy alone for patients with mCRC liver metastases. The primary tumor side data were prospectively collected. The principal outcome measure was overall survival (OS) stratified by treatment and primary tumor side. Results: In the combined analysis of all 739 patients enrolled, SIRT had no effect on OS (median OS, 24.3 vs. 24.6 months; hazard ratio [HR], 1.021; P = .810). For the 179 patients (24.2%) with a RSP tumor, OS was improved with the addition of SIRT (median, 22.0 vs. 17.1 months HR, 0.641; P = .008). The addition of SIRT was not associated with a significant difference in OS among the 540 patients with a LSP tumor (median, 24.6 vs. 26.6 months; HR, 1.120; P = .264). A test of treatment interaction by primary tumor side was statistically significant for RSP and SIRT (P = .002). Conclusion: The addition of SIRT for patients with RSP tumors, but not for those with LSP tumors, was associated with a statistically and clinically significant OS gain. (C) 2018 Elsevier Inc. All rights reserved.

Published
2018

4. Unsupervised machine learning technique for classifying production zones in unconventional reservoirs

Author

Karrar A. Abbas, Amir Gharavi, Noor A. Hindi, Mohamed Hassan, Hala Y. Alhosin, Jebraeel Gholinezhad, Hesam Ghoochaninejad, Hossein Barati, James Buick, Paria Yousefi, Reham Alasmar, and Salam Al-Saegh

Subjects
Machine learning, Sweet spots, Unsupervised classification, Supervised classification, Unconventional reservoirs, Clustering analysis, Electronic computers. Computer science, QA75.5-76.95
Abstract

Significant amounts of information are rapidly increasing in bulk as a consequence of the rapid development of unconventional tight reservoirs. The geomechanical and petrophysical characteristics of the wellbore rocks influence the sweet and non-sweet areas of tight unconventional reservoirs. Using standard approaches, such as data from cores and commercial software, it is difficult and costly to locate productive zones. Furthermore, it is difficult to apply these techniques to wells that do not have cores. This study presents a less costly way for the systematic and objective detection of productive and non-productive zones via well-log data using clustering unsupervised and supervised machine learning algorithms. The method of cluster analysis has been used in order to classify the productive and non-productive reservoir rock groups in the tight reservoir. This was accomplished by assessing the variability of the reservoir characteristics data that are forecasted by looking at the dimensions of the well logs. The Support vector machine as a supervised machine learning algorithm is then used to evaluate the classification accuracy of the unsupervised algorithms based on the clustering labels. The application made use of approximately ten different variables of rock characteristics including zonal depth, effective porosity, permeability, shale volume, water saturation, total organic carbon, young's modulus, Poisson's ratio, brittleness index, and pore size. The findings show that both clustering techniques identified the sweet areas with high accuracy and were less time-consuming.

Published
2023
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5. Identification of genes that regulate epithelial cell migration using an siRNA screening approach

Author

Devin Leake, Anastasia Khvorova, Kaylene J. Simpson, Joan S. Brugge, Angela Reynolds, Laura M. Selfors, and James Bui

Subjects
Time Factors, Video microscopy, Biology, Transfection, Epithelial cell migration, Cell Movement, Cell Line, Tumor, Cell polarity, Humans, Gene Regulatory Networks, Genetic Testing, RNA, Small Interfering, beta Catenin, Actin, Cell Proliferation, Wound Healing, Cell adhesion molecule, Cell growth, Integrin beta1, Reproducibility of Results, Epithelial Cells, Cell migration, Cell Biology, Actins, Cell biology, Phenotype, Signal transduction, Cell Adhesion Molecules, Signal Transduction
Abstract

To provide a systematic analysis of genes that regulate epithelial cell migration, we performed a high throughput wound healing screen with MCF-10A breast epithelial cells, using siRNAs targeting 1,081 human genes encoding phosphatases, kinases and proteins predicted to influence cell migration and adhesion. The primary screen identified three categories of hits: those that accelerate, those that inhibit and those that impair migration with associated effects on cell proliferation or metabolism. Extensive validation of all the hits yielded 66 high confidence genes that, when downregulated, either accelerated or impaired migration; 42 of these high confidence genes have not been previously associated with motility or adhesion. Time-lapse video microscopy revealed a broad spectrum of phenotypic changes involving alterations in the extent and nature of disruption of cell-cell adhesion, directionality of motility, cell polarity and shape, and protrusion dynamics. Informatics analysis highlighted three major signalling nodes, beta-catenin, beta1-integrin and actin, and a large proportion of the genes that accelerated migration impaired cell-cell adhesion.

Published
2008
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6. The Local/Global Politics of Boston’s Viet-Vote

Author

James Bui, Shirley Tang, and Peter Kiang

Abstract

This article recalls the incident in 1992 where City Councilor Albert ‘Dapper’ O’Neil of Boston made a racist remark towards the Vietnamese community. The incident points out the lack of political clout and education Vietnamese people have due to their poverty and refugee status. If we want to make a difference in the political processes we need to exercise our right to vote. Community-based organizations, Viet-Aid, have also helped Vietnamese population to overcome barriers in their ability to participate in political actions. The 2003 Viet-Vote Campaign goals are to empower the Vietnamese community through civic engagement. The Viet-Vote influence extends that of local politics as it also attempts to represent Vietnamese voice, power, and spotlight on different issues from jobs to bilingual education. The Viet-Vote campaign help increase voter participation in the fall of 2003. The impact of Boston’s Viet-Vote campaign is far-ranging and multifaceted as it help launch the Vietnamese American Community Center and the establishment of community development projects.

Published
2004
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7. Application of machine learning techniques for identifying productive zones in unconventional reservoir

Author

Amir Gharavi, Mohamed Hassan, Jebraeel Gholinezhad, Hesam Ghoochaninejad, Hossein Barati, James Buick, and Karrar A. Abbas

Subjects
Machine learning, Quick analyser, Exploratory data analysis, Feature importance, Hyperparameter tuning, Feature engineering, Electronic computers. Computer science, QA75.5-76.95
Abstract

Unconventional reservoirs are the productive zones in other words the rock quality and the mechanical properties of the rocks this process is devastating if humans or people try to search for the best reservoirs. So we can use machine learning (ML) algorithms to help us find and search easily and fast for the best reservoirs with less human interaction as possible. The objectives of this paper is to use machine learning (ML) techniques to predict and classify the reservoirs based on the properties of each reservoirs and choose the best reservoir. In this paper we have made a comparison between the different types of machine learning algorithm and described how we get the best and worst result for each one, the comparison we made gave us that the AdaBoost algorithm gave the worst performance measured in the accuracy while the random forest (RF) algorithm gave the best performance, this paper aim to make improvement of the process of searching for productive zones using ML algorithms.

Published
2022
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9. 2007 Update on Allogeneic Islet Transplantation from the Collaborative Islet Transplant Registry (CITR)

Author

Carol Smith, Jose Oberholzer, Cheryl Durkop, Jonathan R. T. Lakey, Elsie Sanders, Tara L. McCready, Michael J. Thompson, Kim Rusk, Charles Owens, Patrick Zhao, Lorraine Lesiecki, Mark S. Cattral, Debbie Ramos, Chandra Trasbourg, Andrew Heitman, Jennifer Bishop, Laura O'Brien, Heather Turgeon, Angie Korsun, Enrico Benedetti, Arlene LaRose, Yvette Blanco-Jivanjee, Suzanne Pellar, Maria I. Perez, Franca B. Barton, Michael Worden, Christina Mandzuk, Antony Valentine, Violeta Raverdy, Charlotte Garwood, Ryan Skarbek, Grace Sauzier, Terri Baker, Dan Fraga, Mark A. Hardy, Barbara Culbreath, Pablo Cure, William Marks, Muhammed Hafiz, Janet Wright, Elizabeth Wright, Ena Poumian Ruiz, Diane K. McLaughlin, Shama Bader, Jenny Joseph, Peter G. Stock, Barbara Reswell, Dianne Donat, Chuck Wagner, Jeff Ansite, R.J. Ketchum, Julia Santiago, Steve Wease, Ruth Danoff, Lesley E. Adcock, Eather Sours, Ali Naji, David M. Radosevich, James Bui, Kathy Duderstadt, James Cravens, Derek West, Julie Kerr-Conte, Eileen Markmann, Maral Palanjian, David A. Baidal, Dixon B. Kaufman, Marie-Christine Vantyghem, Greg Szot, Travis Romagnoli, Rodolfo Alejandro, Carrie Gibson, Heather Robertson, Jill Sheedy, Vijay Menon, Camillo Ricordi, Arthur Dea, Jacqueline Cereijo, Fouad Kandeel, Valery Gmyr, Shelly Baker, Shaopeng Deng, Pam Boone, Karyn Nash, Dylan M. Zylla, Susan George, Marti H. Sears, Paige Schock, Jeffrey A. Bluestone, Nancy Radke, Joan Kelly, Joan McElroy, Virgil Larson, Kathleen LaBranche, Qiongfen Guo, Bashoo Naziruddin, Keiko Omori, Barbara Olack, Betsy Britz, Shameka Thomas, Bernhard J. Hering, P. F. Gores, Wendy Bourne, Leonard Chen, Enrico Cagliero, Robin L. Jevne, Amy Mote, Andrew M. Posselt, Payam Salehi, Jeanette Hacker, Kenneth L. Brayman, Gordon C. Weir, Bryan Calaway, Piotr Witkowski, Deana Williams, Maricruz Silva-Ramos, Patrice Al-Saden, Carol Kramer, John A. Goss, Jose Avila, François Pattou, Marlon F. Levy, Elyse Stuart, K. D. Shiang, Susan Comninel, Mark B. Lockwood, Yoko Mullen, Parastoo Dinyari, Niraj M. Desai, Shannon Inman, Tiffany Zgabay, David Iklé, Donald Stablein, Monalee Shah, Agnes Lo, Elizabeth Holbrook, Jamen Parkey, Nina Reinhart, Barb Bland, Lori Otken, Rimed Ezzouaoui, Amy Wallace, Debra Kemp, Aldo A. Rossini, A. M. James Shapiro, Donna Sarmon, Tatiana Froud, Peggy Murphy, Melissa Roberts, Donna Bogard, Anne Nettles, Kimber Westbrook, Michael Hanschew, Tara Rojas, Bonnie Olszewski, Melissa McGraw, Kamel Sadat, Carla J. Greenbaum, A. Osama Gaber, Betul Hatipoglu, Yamini Damodharan, Gary A. Levy, Marc R. Garfinkel, Laurie Weiner, Marli McCulloch-Olson, Deborah McGee-Wilson, Alexander C. Wiseman, Jeffrey Longmate, Jess Long, Joan Martellotto, Michael Hansen, A. Kadir Omer, Ronald G. Gill, Winsor Simmons, Edmond A. Ryan, Kevan C. Herold, Lisa Rothenberg, Deborah Spindler, Sarah E. Goodpastor, Matthew S. Hanson, Zhuoru Liu, Celia Hartigan, Linda Langman, Aisha Khan, Kathy Hodges, Darrell Grimes, Bruce Carveth, Craig Smith, Bruce Kaplan, Marilyn Reeve, Matthew Connors, and Christopher N. Larsen

Subjects
Adult, Male, Oncology, medicine.medical_specialty, Time Factors, Adolescent, medicine.medical_treatment, Islets of Langerhans Transplantation, Biomedical Engineering, lcsh:Medicine, Young Adult, Internal medicine, medicine, Humans, Insulin, Transplantation, Homologous, Registries, Aged, Glycated Hemoglobin, Immunosuppression Therapy, Clinical Trials as Topic, Transplantation, Type 1 diabetes, geography, geography.geographical_feature_category, C-Peptide, business.industry, lcsh:R, Immunosuppression, Organ Preservation, Cell Biology, Middle Aged, medicine.disease, Islet, Kidney Transplantation, Hypoglycemia, Europe, Diabetes Mellitus, Type 1, Treatment Outcome, North America, Female, business
Abstract

As of October 1, 2007, 25 North American medical institutions and one European islet transplant center reported detailed information to the Registry on 315 allograft recipients, of which 285 were islet alone (IA) and 30 were islet after kidney (IAK). Of the 114 IA recipients expected at 4 years after their last infusion, 12% were insulin independent, 16% were insulin dependent with detectable C-peptide, 40% had no detectable C-peptide, and 32% had missing C-peptide data or were lost to follow-up. Of the IA recipients, 72% achieved insulin independence at least once over 3 years and multiple infusions. Factors associated with achievement of insulin independence included islet size >1.0 expressed as IEQs per islet number [hazard ratio (HR) = 1.5, p = 0.06], additional infusions given (HR = 1.5, p = 0.01), lower pretransplant HbA1c (HR = 1.2 each %-age unit, p = 0.02), donor given insulin (HR = 2, p = 0.003), daclizumab given at any infusion (HR = 1.9, p = 0.06), and shorter cold storage time (HR = 1.04, p = 0.03), mutually adjusted in a multivariate model. Severe hypoglycemia prevalence was reduced from 78–83% preinfusion to less than 5% throughout the first year post-last infusion, and to 18% adjusted for missing data at 3 years post-last infusion. In Year 1 post-first infusion for IA recipients, 53% experienced a Grade 3–5 or serious adverse event (AE) and 35% experienced a severe AE related to either an infusion procedure or immunosuppression. In Year 1 post-first infusion, 33% of IA subjects and 35% of IAK subjects had an AE related to the infusion procedure, while 35% of IA subjects and only 27% of IAK subjects had an AE related to the immunosuppression therapy. Five deaths were reported, of which two were classified as probably related to the infusion procedure or immunosuppression, and 10 cases of neoplasm, of which two were classified as probably related to the procedure or immunosuppression. Islet transplantation continues to show short-term benefits of insulin independence, normal or near normal HbA1c levels, and sustained marked decrease in hypoglycemic episodes.

Published
2009

11. Implementing Direct and Indirect Wireline Methods in Determination of Total Organic Carbon: A Case Study from a West African Hydrocarbon Field

Author

Amir Gharavi, Mohamed Hassan, Hesam Zarehparvar Ghoochaninejad, John Fianu, Michael Kenomore, Amjad Shah, and James Buick

Subjects
nmr, toc, unconventional reservoirs, well logs, west african, Petroleum refining. Petroleum products, TP690-692.5, Gas industry, TP751-762
Abstract

Since the development bloom in unconventional reservoirs in North America, total organic carbon (TOC) has become a more essential parameter, as the indicator of the efficiency of these reservoirs. In this paper, by using conventional well logs and NMR log data, the TOC content of an unconventional reservoir in West Africa is estimated. Passy’s, Issler’s, and Schmoker’s methods were used as indirect wireline methods to estimate TOC content, along the well paths. Afterward, NMR log data, as a direct method, was used to provide more precise calculations of TOC. Both methods showed almost similar trends, with the NMR method indicating lower values for the TOC. Then, an adjusted Schmoker equation was proposed, which showed the best fit between NMR and conventional well logs results. By using the equation, the TOC content was calculated in three other wells, where NMR data were unavailable. The results were then used to prepare a 3D model of the TOC distribution, within the reservoir.

Published
2020
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12. Estimating software development costs and schedules for space systems

Author

Neang I. Om and James Bui

Subjects
Engineering, Schedule, Software, Cost estimate, Operations research, Software sizing, business.industry, Real-time computing, Software development, Ground segment, business, Software metric, System software
Abstract

This paper analyzes historical software development costs and schedules from military and NASA satellite systems. Cost-and time-estimating relationships were developed for ground segment and embedded flight software. In addition to the traditional size variable, other cost drivers were found: software residence (ground or flight), and software type (application and support). Schedule driving variables included size, staffing level, and residence. The equations developed from the study can be used to estimate future space system software development costs or to cross-check estimates generated by other methods.

Published
1994
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13. Estimating Fixed and Variable Costs of Airframe Manufacturers

Author

Stephen J. Balut, Thomas P. Frazier, and James Bui

Subjects
Variable (computer science), Indirect costs, Engineering, Aircraft industry, business.industry, Airframe, ComputerApplications_COMPUTERSINOTHERSYSTEMS, business, Manufacturing engineering, Variable cost
Abstract

This report presents a model for separating annual costs at airframe manufacturing plants into fixed and variable components. The use of the model is to aid defense analysts in estimating the cost to manufacture aircraft systems when the manufacturer has not yet been determined or when proprietary models for the specific firms are not available. The material is unclassified and non-proprietary.

Published
1991
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