1,892 results on '"Welsh, John"'
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2. The Exceptional Politics of Richard Nixon: Politicking, Sovereignty, or "High Crimes and Misdemeanors"?
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Welsh, John
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- 2022
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3. Critical Theory from Solzhenitsyn's The Gulag Archipelago : Style, Technique, and Ideologiekritik
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Welsh, John
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- 2022
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4. ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot Navigation
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Anwar, Abrar, Welsh, John, Biswas, Joydeep, Pouya, Soha, and Chang, Yan
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Computer Science - Robotics ,Computer Science - Artificial Intelligence ,Computer Science - Computation and Language - Abstract
Navigating and understanding complex environments over extended periods of time is a significant challenge for robots. People interacting with the robot may want to ask questions like where something happened, when it occurred, or how long ago it took place, which would require the robot to reason over a long history of their deployment. To address this problem, we introduce a Retrieval-augmented Memory for Embodied Robots, or ReMEmbR, a system designed for long-horizon video question answering for robot navigation. To evaluate ReMEmbR, we introduce the NaVQA dataset where we annotate spatial, temporal, and descriptive questions to long-horizon robot navigation videos. ReMEmbR employs a structured approach involving a memory building and a querying phase, leveraging temporal information, spatial information, and images to efficiently handle continuously growing robot histories. Our experiments demonstrate that ReMEmbR outperforms LLM and VLM baselines, allowing ReMEmbR to achieve effective long-horizon reasoning with low latency. Additionally, we deploy ReMEmbR on a robot and show that our approach can handle diverse queries. The dataset, code, videos, and other material can be found at the following link: https://nvidia-ai-iot.github.io/remembr
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- 2024
5. Faculty and Administrative Support for Institutional Effectiveness Activities: A Bridge Across the Chasm?
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Welsh, John F and Metcalf, Jeff
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- 2003
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6. The Hall-Colley Debate: a Stop on the Road to the 1619 Project
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Welsh, John
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- 2024
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7. Patellofemoral stabilization with and without cartilage restoration
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Rund, Joseph M., Welsh, John W., Benjamin Burch, M., Worley, John R., Oladeji, Lasun O., Ray, Taylor, Gray, Aaron D., Hinckel, Betina B., and Sherman, Seth L.
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- 2024
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8. Optimizing and developing a scalable, chemically defined, animal component-free lentiviral vector production process in a fixed-bed bioreactor
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Fiol, Carme Ripoll, Collignon, Marie-Laure, Welsh, John, and Rafiq, Qasim A.
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- 2023
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9. Isotherm model discrimination for multimodal chromatography using mechanistic models derived from high-throughput batch isotherm data
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Altern, Scott H., Welsh, John P., Lyall, Jessica Y., Kocot, Andrew J., Burgess, Sean, Kumar, Vijesh, Williams, Chris, Lenhoff, Abraham M., and Cramer, Steven M.
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- 2023
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10. Medial Patellofemoral Ligament Reconstruction in Obese Patients Results in Low Complication Rates and Improved Subjective Outcomes
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Sherman, Seth L., Rund, Joseph M., Welsh, John W., Ray, Taylor, Worley, John R., Oladeji, Lasun O., Gray, Aaron D., and Hinckel, Betina B.
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- 2023
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11. Defects in vein valve PROX1/FOXC2 antithrombotic pathway in endothelial cells drive the hypercoagulable state induced by trauma and critical illness
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Hoofnagle, Mark H., Hess, Annie, Nalugo, Margaret, Ghosh, Sarbani, Hughes, Shin-Wen, Fuchs, Anja, Welsh, John D., Kahn, Mark L., Bochicchio, Grant V., Randolph, Gwendalyn J., Leonard, Jennifer M., and Turnbull, Isaiah R.
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- 2023
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12. High‐throughput in silico workflow for optimization and characterization of multimodal chromatographic processes
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Altern, Scott H., primary, Lyall, Jessica Y., additional, Welsh, John P., additional, Burgess, Sean, additional, Kumar, Vijesh, additional, Williams, Chris, additional, Lenhoff, Abraham M., additional, and Cramer, Steven M., additional
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- 2024
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13. Combining descriptive and predictive modeling to systematically design depth filtration‐based harvest processes for biologics
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Liu, Peter, primary, Hartmann, Michael, additional, Shankaran, Ajay, additional, Li, Hong, additional, and Welsh, John, additional
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- 2024
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14. Regarding Singh et al, “Effects, Safety, and Treatment Experience of Advanced Hybrid Closed-Loop Systems in Clinical Practice Among Adults Living With Type 1 Diabetes”
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Messer, Laurel H., primary, Welsh, John B., additional, Habif, Steph, additional, Pinsker, Jordan E., additional, and Walker, Tomas C., additional
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- 2024
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15. A systematic review examining blood flow restriction in combination with isokinetic resistance exercise
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J. Welsh, John, primary, M. Robinson, Drew, additional, and J. Dankel, Scott, additional
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- 2024
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16. A Power-Critique of Academic Rankings: Beyond Managers, Institutions, and Positivism
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Welsh, John
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The bulk of research on academic rankings is policy-oriented, preoccupied with 'best practices', and seems incapable of transcending the normative discourse of 'governance'. To understand, engage, and properly critique the operation of power in academic rankings, the rankings discourse needs to escape the gravity of 'police science' and embrace a properly "political" science of ranking. More specifically, the article identifies three pillars of the extant research from which a departure would be critically fruitful -- "positivism," "managerialism," "institutionalism" -- and then goes on to outline three aspects of rankings that a critical political analysis should explore, integrate, and develop into future research from the discourses of critical theory -- "arkhè," "dispositif," and "dialectik."
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- 2021
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17. Opportunities and challenges for model utilization in the biopharmaceutical industry: current versus future state
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Babi, Deenesh K, Griesbach, Jan, Hunt, Stephen, Insaidoo, Francis, Roush, David, Todd, Robert, Staby, Arne, Welsh, John, and Wittkopp, Felix
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- 2022
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18. Relationship of Impairments in Associative Learning With Intellectual Disability and Cerebellar Hypoplasia in Children With Autism
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Welsh, John P, Munson, Jeffrey, St John, Tanya, Meehan, Christina N, Tran Abraham, Elise N, Reitz, Fritz, Begay, K Kawena, Dager, Stephen R, and Estes, Annette M
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- 2022
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19. Current state of implementation of in silico tools in the biopharmaceutical industry—Proceedings of the 5th modeling workshop.
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Wittkopp, Felix, Welsh, John, Todd, Robert, Staby, Arne, Roush, David, Lyall, Jessica, Karkov, Sophie, Hunt, Stephen, Griesbach, Jan, Bertran, Maria‐Ona, and Babi, Deenesh
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The fifth modeling workshop (5MW) was held in June 2023 at Favrholm, Denmark and sponsored by Recovery of Biological Products Conference Series. The goal of the workshop was to assemble modeling practitioners to review and discuss the current state, progress since the last fourth mini modeling workshop (4MMW), gaps and opportunities for development, deployment and maintenance of models in bioprocess applications. Areas of focus were four categories: biophysics and molecular modeling, mechanistic modeling, computational fluid dynamics (CFD) and plant modeling. Highlights of the workshop included significant advancements in biophysical/molecular modeling to novel protein constructs, mechanistic models for filtration and initial forays into modeling of multiphase systems using CFD for a bioreactor and mapped strategically to cell line selection/facility fit. A significant impediment to more fully quantitative and calibrated models for biophysics is the lack of large, anonymized datasets. A potential solution would be the use of specific descriptors in a database that would allow for detailed analyzes without sharing proprietary information. Another gap identified was the lack of a consistent framework for use of models that are included or support a regulatory filing beyond the high‐level guidance in ICH Q8–Q11. One perspective is that modeling can be viewed as a component or precursor of machine learning (ML) and artificial intelligence (AI). Another outcome was alignment on a key definition for "mechanistic modeling." Feedback from participants was that there was progression in all of the fields of modeling within scope of the conference. Some areas (e.g., biophysics and molecular modeling) have opportunities for significant research investment to realize full impact. However, the need for ongoing research and development for all model types does not preclude the application to support process development, manufacturing and use in regulatory filings. Analogous to ML and AI, given the current state of the four modeling types, a prospective investment in educating inter‐disciplinary subject matter experts (e.g., data science, chromatography) is essential to advancing the modeling community. [ABSTRACT FROM AUTHOR]
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- 2024
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20. Risk factors for COVID-19-related in-hospital mortality in a high HIV and tuberculosis prevalence setting in South Africa: a cohort study
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Abdullah, Shaina, Abrahams, Fiona, Adams, Vincentius, Adnane, Fhima, Adoni, Sonia, Adoons, Dieketso Melitta, Africa, Veronique, Aguinaga, D, Akach, Susan, Alakram Khelawon, Prisha, Aldrich, George, Alesinloye, Olatunde, Aletta, Mathale Biniki, Alice, Mametja, Aphane, Tebogo, Archary, Moherndran, Arends, Felicity, Arends, Shireen, Aser, Munonde, Asmal, T, Asvat, Mohammed, Avenant, Theunis, Avhazwivhoni, Muvhali, Azuike, Magnolia, Baartman, Johanna, Babalwa, Dlava, Badenhorst, Johan, Badenhorst, Miranda, Badripersad, Bianca, Badul, Lalihla, Bagananeng, M, Bahle, Mncedisi, Balfour, Liezl, Baloyi, T C, Baloyi, S, Baloyi, Tinyiko, Baloyi, Tshepo Mpho, Banda, Thokozani, Barit, Shimon, Bartsch, Nicole, Bayat, Junaid, Bazana, Siyabulela, Beetge, Marlene, Bekapezulu, Nosindiso, Belebele, Rammala, Bella, Phala, Belot, Zanenkululeko, Bembe, Lindi Gladys, Bensch, Sonja, Beukes, Gishma, Bezuidenhout, Karla, Bhembe, Themba, Bikisha, N A, Bilenge, Ben, Bishop, Leesa, Biyela, Baphamandla, Blaauw, Cyntheola, Blaylock, Mark, Bodley, Nicola, Bogale, Power, Bokolo, Sibongile, Bolon, Stefan, Booysen, Mary, Booysen, Eldereze, Boretti, Lia, Borges, Paula, Boshoga, Millicent, Bosman, Natasha, Bosvark, Lucinda, Botes, Nicky, Botha, Adele, Botha, Chantall, Botha, Jana, botha, Chantall, Botha, Mandlakayise Irvin, Botha, Alet, Bradbury, Janet, Breakfast, Zandisile, Breed, Maria, Brenda, Molele, Brice, Moshito, Britz, Jolene, Brown, Amanda, Buchanan, T, Bucwa, Thozama, Burger, Crystelle, Busakwe, Ziyanda, Bushula, Nosiviwe, Buthelezi, Zinhle, Buthelezi, Dumsile, Buthelezi, Thubelihle, Buthelezi, Mpumelelo Basil, Buthelezi, Fundiswa Lidwina, Bux, Nadia, Buys, Christoff, Buys, Anneline, Caka, Ernestina, Canal, Armando Sanchez, Caroline, Sithole, Casper, Monrick, Cawood, Shannon, Cebisa, Oratile, Cele, Nothando, Cele, Sboniso, Cele, Sthembile Goodness, Chauke, Mkhacani, Chauke, Pinkie, Chelin, Nevil, Chen, Xiaohui, Chetty, Venmalla, Chetty, Kerisse, Cheu, Christinah, Chibabhai, Vindana, Chirima, Takudzwa, ChisaleMabotja, Mantwa, Chivenge, Charity, Choene, Ngoasheng, Choko, Mbali Nosisa, Choshi, Martin, Chowdhury, Sabbir, Christoforou, Anastacia, Chuene, S L S, Chueu, T S, Cilliers, Dale, Cilliers, Vanessa, Claassen, Marcel, Cloete, Jeané, Coelho, Chantelle, Coetzee, Carol, Coetzee, Hans Jurgens, Coetzee, Christine, Coetzee, Marelize, Coetzer, Dane, Coka, Sizwe, Colane, M, Combrink, Herkulaas, Conjwa, Songezo, Contrad, Colleen, Cornelissen, Faith, Cronje, Leezelle, Crouse, Christine, Dabi, Tshidi, Dandala, Ziyanda, Dangor, Ziyaad, Daniel, Gildenhuys, Daniel, Ngwana, Daumas, Alfred, Dauth, Madelein, David, Mongalo, Davids, Wayne, Daweti, Nozuko, Dawood, Halima, Dayile, Wandisa, De Bruin, B, De Klerk, Karin, De la Rosa, Tanya, de Nysschen, Marice, De vos, Marie, De Wet, Darien, Debising, Mohith, Deenadayalu, Darshan, Dekeda, Babalwa, Desiree, Mofokeng, Deysel, Annelise, Dhlamini, Abram, Diala, Makgethwa Dhlala, Diale, Mathapelo, Diketane, Bella, Dingani, Nosisa, Diniso, Siyabonga, Diphatse, Lesego, Diya, Anele, Dladla, Zihloniphile, Dladla, Nompumelelo, Dladla, Mlungisi, Dladla, Patience, Dlamini, Baphilie, Dlamini, Nonhlanhla, Dlamini, Linda, Dlamini, Nonzwakazi, Dlamini, Wendy, Dlamini, Ncomeka, Dlamini, Siyabonga, Dlamini, Nicodemus, Dlamini, Lebohang, Dlamini, Motshedise, Dlava, Babalwa Christine, Dlova, Phikiwe, Dlozi, Lindiwe, Doreen, Maenetja, Doyi, Vumile, Doyi, Athini, Du Plessis, Belinda, du Plessis, Johanna Aletta, du Plessis, Eddie, du Plessis, Nicolette, du Plessis, Karin, du Toit, Briette, du Toit, Narissa, Dube, Jabulile, Dubula, Athayanda, Duduzile, Msomi, Duiker, Sechaba, Duma, Unati Bongile, Duma, Kholiwe, Dunne, Kella, Dyantyi, Kholeka, Dyantyi, Avile, Dyasi, Simphiwe, Dyondzo, Chauke, Dyubhele, Phelisa, Dywili, B J, Edwards, Letitia, Eksteen, Madie, Ellis, Tersia, Ellis, Tia, Emmerson, Glenda, Enslin, Theusia, Epule, Odimula, Erasmus, Lana, Erick, Mathonsi, Etsane, Lerato, Eunice, Shimange, Fani, Zanele, Ferreira, Mariette, Finger-Motsepe, K L, Floris, Fabion, Fobo, Tseko, Fokotsane, Keresemetse, Fokwana, Duduzile Emmelda, Fords, Genevieve Marion, Fortein, Juanita, Fouche, Christine, Fourie, Rulandi, Frean, Andrew, Fredericks, Ludwig, Funda, Wandile, funjwa, kabelo, Futhane, Martha, Futuse, Amanda, Gabaediwe, Dora, Gabuza, Nonhlanhla, Galant, Janycke, Gama, Zanele, Gano, Thobile, Gardiner, Emma Cora, Gastrow, Henri, Gate, Kelly, Gaunt, Ben, Gavaza, Rikhotso, Gayi, Thapelo, Gcakasi, Nkosinathi, Gcobo, Nomusa, Geffen, Leon, Geldenhuys, S, George, Jenny, Gerber, Martha, Getyengana, Zolisa, Gigi, Nkululo, Gihwala, Radha, Gilliland, Mitchell, Gloria, Zandile, Glover, Elitia, Gokailemang, Ellen, Goosen, Suseth, Gopane, Maria, Gosa-Lufuta, Thandazile, Gosnell, Bernadett, Gouws, Sharleen, Govender, Christina, Govender, Raksha, Govender, Pearl, Govender, Sally, Govender, Roxanne, Govender, K, Govender, Savie, Govinden, Rashika, Gqabuza, Luphumlo, Gqaji, Nomthandazo, Gqetywa, Maneo, Green, Caroline, Green, Nathan, Green, Neera, Grobler, Hendrik, Groenwald, Pamela, Grootboom, Daniel, Gumede, Beatrice, Gumede, Nomonde, Gumede, Simphiwe, Gumede, Slindile, Gumede, Ntombikayise, Gumede, Zenande, Gxotiwe, Thandiswa, H L, Makhubela, Hadebe, Nonhlanhla, Hadebe, Skhumbuzo, Halkas, Christos, Hamer, Ansie, Hamida, Ebrahim, Hammond, Juan, Haniff, Sumayia, Hare, Annelise, Hattingh, lorinda, Hendricks, Thenjiwe, Henecke, Philip-George, Henly-Smith, Brends, Herselman, Glynis, Heymans, Ansie, Heyns, Chantel, Hlabahlaba, Golekane, Hlabangwane, Lucky, Hlamarisa, Simango, Hlanzi, Ntokozo, Hlela, Hlengiwe, Hlokwe, Katlego, Hlongwa, Thembinkosi, Hlongwana, Anele, Hlubi, Themba, Hobo, Tozama, Hopane, Nare Nathaniel, House, Mariska, Hudson, Catharina, Huysamen, Marinda, Indheren, Jezreen, Ingle, Samantha, Isaacs, Gavin, Isaacs, T S Thekiso, Itumeleng, Maringa, J van Rensburg, Karien, Jackson, Saloshni, Jacob, Neziswa, Jacobs, Burton, Jacobs, Tshireletso, Jacobs, Gugulethu, Jaftha, Mesadi, Jaji, Zimkhitha, Jali, Sibusiso, James, Gcobisa, January, Gillian, Jeke, Andiswa, Jeremiah, Laurent, Jeremiah, L S, Jhetam, Mubeen, John, Maureen, John, Chuene, Jola, Thandiwe, Jonas, Yolande, Jonas, Anovick, Juggernath, Amilcar, Kaba, Eileen, Kabo, Venetia, Kadi, Disebo, Kaizer, Karabo, Kambule, Moshaya Peter, Kapp, Lorraine, Kau, Tshepo, Keneth, Nchabeleng, Kgabi, O, Kgafela, Tebogo Audrey, Kgakgadi, Vincent, Kgaswe, Isabella, Kgathlane, Tsholofelo, Kgetha, Vuyelwa Julia, Kgomojoo, Mmaselloane, Kgoro, B, Kgosiemang, Christinah, Kgosiencho, Gloria, Khambula, Stephen, Khan, Ariffa, Khanare, Refemetswe, Khanyase, Ncamsile, Khanyile, Nokwethemba, Kharatsi, Fillip, Khawula, Simangele, Khohlakala, Themba, Khomo, Letitia, Khoza, Isabel, Khoza, Sinethemba, Khukule, Nombulelo, Khumalo, Busisiwe, Khumalo, Tracy, khumalo, Zinhle, Khumalo, Vuyelwa, Khumalo, Delisile, Khumalo, Lebohang, Khumalo, Boitumelo, Khumalo, Thuli, Khumalo, Gugu, Khuzwayo, Bongiwe, Khuzwayo, Thembhelihle, Kidson, Hennie, Kistan, Jesne, Klaas, Gugu, Klassen, Marilyn, Koeberg, Josehine, Koen, Marizel, Koena, Simphiwe, Kok, Ina, Kola, Imraan, Kolokoto, Karabo, Konar, Ramachandra, Kotsedi, Dr, Kotze, Jaline, Koupis, Martins, Kritzinger, Helen, Kruger, Marlize, Kruger, Henk, Kubayi, Tlangelani, Kubeka, Thabisile, Kubheka, Nonjabulo, Kubheka, Melusi, Kubheka, Sibusiso Clifford, Kubheka, Erol, Kumalo, Monica, Kunene, Thulani, Kunene, Siphilile Candy, Kunneke, Yvette, Kupa, R P, Kutama, Rachel, Kwakwazi, Nompumelelo, Kweyama, Lwanele, Labuschagne, Maureen, Labuschagne, Marina, Lakshman, Prabha, Lamani, Lungelo, Lamani, Thembela, Langa, Naomi, Langeni, Khangelani, Langeni, Aphelele, Langeni, Nwabisa Hazel, Langeveldt, Gena, Laubscher, Anchen, Le Roux, Laetitia, Leah, Magagane, Lebea, Collen, Lebea, Sello, Lebenya, Viyella Phumla Cynthia, Lebogang, Lorraine, Leboho, P K, Lee, Chantel, Lefakane, Kelebogile Rejoice, Legoabe, Zandile, Lekala, Patrick, Lekhoaba, Motsitsi, Lekunutu, Tanki Shadrack, Lerefolo, Galaletsang, Letebele, N, Lethoba, Tsepo Patric, Letlalo, Emission, Letlhage, Ofentse, Letshufi, D S V, Letsoalo, Dineo Fiona, Letsoalo, Seleka Jones, Letsoalo, Pennelope, Letwaba, Getrude, Linda, Sobekwa, Lipholo, Katleho, Litabe, Sabata, Lochan, Harsha, Lomax, Linda, Lombaard, Francina, Loots, Elmarie, Lourens, Ariana, Louw, Celeste, Louw, Rianna, Lubambo, Zikhona, Lubambo, Msebenzi Moises, Ludada, Gregory, Lukas, Michael, Lungu, Thembela, Lupindo, Nomvume, Lusenga, Emmah, Luthuli, Happiness, Luvuno, Zoleka Sylvia, M H, Gwangwa, Maarman, Mustafa, Mabaso, Buyisiwe, Mabaso, Cynthia, Mabitle, Morena, Mabogoane, Grace, Mabone, Kgakgamatso, Mabuza, Rueben, Mabuza, Velaphi, Madiseng, Mogantla, Madlala, Thobile, Madolo, Mashooase, Madonsela, Thabiso, Madubanya, Lesetsa, Maepa, Amukelani, Mafumana, Namhla, Mafumo, Caroline, Magadla, Pumeza, Magale, Viscah, Magaqa, Nompumelelo, Magda, Oberholzer, Magdeline, Rakgoale, Maggie, Tswai, Maginxa, Bongeka, Magoba, Cathrine Maite, Magongwa, Caroline, Magubane, Agretia, Magubane, Agretia Ntombizodwa, Magwai, R, Mahabane, D I, Mahabeer, Padmini, Mahadulula, Elsie, Mahanjana, Lungiswa, Maharaj, Amy, Mahlambi, Qedusiza, Mahlangu, Yvonne, Mahlangu, Lerato, Mahlangu, Ntombifikile, Mahlangu, Makhosazana, Mahlangu, Mahlatsi, Mahlasela, Penelope, Mahlatse, Thosago, Mahlobo, Regina, Mahole, Dikhing, Mahomed, Adam, Mahubane, Mapeu Debora, Mahume, Peter, Maifo, Lehlogonolo, Maimane, Vincent, Maimele, Petunia, Maine, Phakoe, Mainongwane, Patricia Senyanyathi, Majamani, Nomalungisa, Majozini, Amahle, Makalima, Noluthando, Makam, Nomfundo, Makamba, Khanyisa, Makan, R, Makarapa, Mashiane, Makgahlela, Malesela, Makgisa, Mogoiwa David, Makgomo, Makgoba, Makgopa, M A, Makhalema, Mabone, Makhanya, Lindokuhle Lizo, Makhanya, Philile Valentia, Makharaedzha, Tolerance, Makhathini, Nathi, Makhesi, Elizabeth, Makhubela, Cinile, Makhunga, Nkululeko Freedom, Makhupula, Nomalinge, Makhura, R R, Makola, Rangwato, Makuba, Zingisa, Makubalo, Asanda, Makumsha, Lonwabo, Makuya, George, Malaka, Levy Mmachuene, Malangeni, Themba, Malatji, M L, Malebana-Metsing, Pelonomi, Malek, Malek, Malevu, Luthando, Malgas, Juanita, Malgas, Dimakatso, Malope, Paul Makgasane, Malose, Monyeki, Maluleke, Katekani, Mambane, Kato, Mamorobela, Nthabiseng, Manamela, Kukami, Manana, Tshepo, Maneto, Sathiel, Manganye, Aron Kabelo, Mangena, Pheto, Mangoale, Anna, Mangozho, Tinotenda Florence, Manickchund, Pariva, Mankayi, Zandisile, Manning, Arthur, Manyaapelo, Kelebogile Manyaapelo, Manyane, Tabea, Manzana, Zoliswa, Manzini, Milton, Mapasa-Dube, Busisiwe, Maphumulo, Siboniso, Maphumulo, Ntombifuthi, Maponya, Sindy, Maponya, Khomotso Mumsy, Maponya, Napjadi, Maqubela, Lami, Maqubela, Lizeka, Maqungo, Vuyo, Marais, Marisa, Marais, Chantal, Maramba, Nondumiso, Mare, Annelize, Maredi, Madumetsa, Martins, Afikile, Marule, Johanna, Marumo, Refilwe, Masakona, N N, Masehla, Kedibone Vincentia, Maseko, Eric, Maselesele, Tshilidzi, Maselo, Mojalefa, Maseloa, M, Masemola, M E, Masemola, Thembi, Mashaba, Bella, Mashangwane, James, Mashao, Mantebele, Mashego, Shalom, Mashele, Lerato, Mashiane, Ester, Mashibini, Joyce, Mashilo, J, Mashiloane, Tumi, Mashishi, Charity, Mashiyi, Ngazibini, Mashudu, Khomola, Masindi, Aluwani, Maslo, Caroline, Masondo, Nduduzo, Masuku, Dumisile, Matamela, Cry, Matandela, Mirriam, Mathabela, Nontokozo, Mathabi, T, Mathe, Keitumetse, Mathebula, Mathabo, Mathebula, Catherine, Mathebula, Mdungazi Andres, Mathenjwa, Nqobizwe, Mathibe, Jane, Mathibela, Lebohang, Mathilda, Makwela, Mathiva, Khakhu, Mathobela, Mokgadi Alinah, Mathonsi, Fikile Pearl, Mathonsi, K P, Mathosa, Katlego, Matiwane, Noluvo, Matjeke, Emma, Matjiane, Bella, Matjila, Thabang, Matlala, Chidi, Matome, Petlo, Matoti, Nolusindiso, Matseliso, C, Matsemela, Dineo, Matsha, Phumeza, Matshediso, Gaalebale Prudence, Matshediso, Motsumi, Matshela, Esther, Mavuma, Bongeka, Mavundla, Pearl, Mavuso, Nomthandazo, Mawasha, Lovender, Mawelela, Rebecca, Mazibuko, Nelisiwe, Mazibuko, Phumlani, Mazubane, Lindiwe, Mbanjwa, Bavumile, Mbasa, Ayanda, Mbatha, Nosimilo, Mbatha, Zanele, Mbatha, Rudolph Zenzele, Mbedzi, Gift, Mbizi, Tatenda Trevor, Mbonambi, Khumbulani, Mboniswa, Nondumiso, Mbonisweni, Nomfanelo, Mbuilu, Jody, Mbulawa, Siyabonga, Mbutho, Zama, Mbuzi, Natasha, Mchunu, Nonkululeko, Mchunu, Cyprian, Mchunu, Nokuzola, Mchunu, Masesi Thandeka, Mciteka, Vuyokazi, Mdaka, Solly, Mdakane, Neho, Mdediswa, Siyabonga, Mdima, Melusi, Mdima Masondo, Nozipho, Mdindana, Siviwe, Mdleleni, Ntombizikhona, Mdletshe, Sibusiso, Mdoda, Gcobisa Precious, Mdolo, Ntombi, Mdontsane, Anele, Mehta, Ruchikas, Memela, Philile Rittah, Methuse, Masande, Metshile, Keatlaretse, Metuse, Pheliswa, Meyer, Anton, Meyer, Gavin, Meyer, Cameron, Mfazwe, Sisonke, Mfecane, Andiswa, Mfecane, Bongeka, Mfeka, Nelisiwe, Mgaga, Busisiwe, Mgauli, Thandiwe Portia, Mgedezi, Thembekile, Mgedezi, Vuyokazi, Mgevane, Kalipile, Mgiba, Bongni, Mgoduka, Babalwa, Mhlaba, Patrick, Mhlaba, Zeldah, Mhlanga, Ntombizodwa, Mhlinza, Vangile, 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Strydom, Riaan, Adelekan, Tsholofelo, Mdlovu, Bhekizizwe, Moodley, Nirvasha, Namavhandu, Eunice L, Venturas, Jacqueline, Magula, Nombulelo, and Blumberg, Lucille
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- 2021
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21. Difference in mortality among individuals admitted to hospital with COVID-19 during the first and second waves in South Africa: a cohort study
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Abdullah, Shaina, Abrahams, Fiona, Adams, Vincentius, ADNANE, FHIMA, Adoni, Sonia, Adoons, Dieketso Melitta, Africa, Veronique, Aguinaga, Dr, Akach, Susan, Alakram Khelawon, Prisha, Aldrich, George, Alesinloye, Olatunde, Aletta, Mathale Biniki, Alice, Mametja, Aphane, Tebogo, Archary, Moherndran, Arends, Felicity, Arends, Shireen, Aser, Munonde, Asmal, T, Asvat, Mohammed, Avenant, Theunis, Avhazwivhoni, Muvhali, Azuike, Magnolia, Baartman, Johanna, Babalwa, Dlava, Badenhorst, Johan, Badenhorst, Miranda Badenhorst, Badripersad (CEO), Bianca, Badul, Lalihla, Bagananeng, M, Bahle, Mncedisi, Balfour, Liezl, Baloyi, TC, Baloyi, S, Baloyi, Tinyiko, Baloyi, Tshepo Mpho, Banda, Thokozani, Barit, Shimon, Bartsch, Nicole, Bayat, Junaid, Bazana, Siyabulela, Beetge, Marlene, Bekapezulu, Nosindiso, Belebele, Rammala, Bella, Phala, Belot, Zanenkululeko, Bembe, Lindi Gladys, Bensch, Sonja, Beukes, Gishma, Bezuidenhout, Karla, Bhembe, Themba, BIKISHA, N.A, Bilenge, Ben, Bishop, Leesa, Biyela, 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Lungiswa, Mthethwa, Nompumelelo Petunia, Mthimkhulu, Khulekani, Mthuli, Lungani Percival, Mthunzi, Ashley, Mtolo, Xolani Sydney, Mtolo, Nomonde Precious, Mtshali, Linda, Mtwa, Neliswa, Mtyobile, Fezeka, Mtyobile, Kanyisa, Mudau, Mpfariseni, Muemeleli, Magwabeni, Mulaudzi, Isaac, Mulaudzi, Rebecca, Mulaudzi, Mhlelekedzeni, Muligwe, Dakalo Rejoyce, Muponda, Blessing, Mushadi, Mmbangiseni Stella, Mushid, M, Muthaphuli, Konanani, Muthavhine, J, Muthika, Mpho, Mvelase, Samkelisiwe, Mvelase, Vusi, MWEHU, LAURENT KAYUMBA, Myaka, Thabile, myburgh, Magriet, Mzamo, Zimkhitha, Mzawuziwa, Fezeka, Mzini, Mfundo Lunga, Mzizana, Oscar, Mzobe, Ntokozo, Mzobe, Thokozile, Mzobe, Zamaswazi, Mzwandile, Mtimkulu, Naby, Fathima, NAICKER, KESHNEE, Naicker, Pregashnie, Naicker, Saroja, Naicker, Pershen, Naicker, Saiyen Virgil, NAIDOO, RIA, Naidoo, Sam, Naidoo, Mergan, NAIDOO, KAMALAMBAL, Naidoo, Aroomugam, Naku, Sivuyile, Nakwa, Firdose, Nancy, Masoga, Nathan, Rita, Naude, Maritsa, Ncaza, Gcobisa, Ncaza, Aviwe, Ncha, Relebohile, Ncoyini, Yanelisa, Ncube, Snothile, Ndaba, Mrs, NDABA, VUSUMUZI, Ndaba, Mmapula, Ndawonde, Siziwe, Ndevu, Ziphozihle, NDHLOVU, NONHLANHLA FAITH, Ndima, Simphiwe, Ndlela, Sindisiwe, Ndlela, Thobsile P, Ndlovu, Nobuhle, Ndlovu, Nwabisa, Ndlovu, Virginia Dipuo, Ndlumbini, Sombekhaya, Nduli, Khululiwe, Nduli, Priscilla Nontokozo, Ndwambi, Michael, Nel, Jeremy, Nel, Rina, Nel, Lizelle, Nemanashi, Ntsundeni florah, Nemudivhiso, Usinkhangwe Nyaphophi, Nemutavhanani, Joyce Nemutavhanani, Nene, Jabu, Nene, Xolani, Netshilonga, David, Netsianda, Rendani, Newton, Charmaine, Ngalo, Vuyo Leroy, Ngani, Ncumisa, Ngcakaza, Thabisa Monica, Ngcobo, Thamela, Ngcobo, Trulove Nonhlanhla, Ngcobo, Richards, Ngcobo, Gcinile, Ngcobo, Guguletu, Ngetu, Thozama, Ngewu, Pinkie, Ngobeni, Tshepo, Ngobeni, Providence, Ngobeni, Khanyisile, Ngobeni, Prudence, Ngobese, Thembisile, Ngomane, Tracy, Ngondo, Nolusindiso, Ngubane, Nokukhanya, Ngubane, Sithembiso, Nguse, Ntombizodwa Praxedise, Ngwane, Tholakele, Ngwasheng, Elizabeth, Ngwenya, Siphamandla, Ngwenya, Gugu, Ngwenya, Nomthandazo, Ngwenya, Themba, Ngwenya, Eva, Ngxola, Zintlanu, Nhabe, Tshegofatso, Nhlabathi, Jabulile, Nhlangwana, Ishmael, Nhlapo, Sithembile, nick, Matlala, Niemand, Vicky, Nienaber, Carina, Nix, Louise, Njikelana, Chumisa, Njomi, Masiza, Nkabinde, Lucia, NKABINDE, M, Nkabiti, Boitumelo, Nkabule, Gugu, Nkadimeng, Mankopodi, Nkanjeni, Nonkanyiso, Nkatlo, Palesa Portia, Nkewana, Bongani, Nkhwashu, Audrey, Nkoana, Ngokoana, Nkoane, Mmathapelo, Nkogatse, M, Nkomo, Fezile, Nkomo, Ntando, Nkonyane, Nontobeko, Nkosi, Sydney, Nkosi, Ntombikayise, Nkosi, Phumzile, Nkosi, Ntombifuthi, NKOSI, TINTSWALO, Nkosi, ML, Nkosi, Godfrey, Nkosi, Amukelani, Nkosi, Fikile Vinoliah, Nkosi, Mbali, Nkosi, Nomcebo Lucia, Nkosi, Siphokazi, Nkuhlu, Amanda, Nkumane, Phumzile, Nkuna, Malebo, Nkwakwha, Wendy, Noge, Sesi, Nolte, Elizabeth, Nomawabo, Peko, Nombita, Malibongwe, Nophale, Nandipha, Nothnagel, Jeanetta, Novokoza, Bongiwe, Nqaphi, Zanele, Nqondo, Thobekile, Nqwelo, Siphokazi, NS, Nkoana, Ntabeni, Sindiswa, Ntabeni, Mr, Ntampula, mawethu, Ntebe, Mthutuzeli, NTELA, MOKWABO, Ntimbane, Hezekiah, Ntintsilana, Xolisa, Ntleki, Patrick, Ntobela, Zanele, Ntombela, Bandile, Ntombela, Zamaswazi, Ntombela, Khonelihle Zandile, Ntombela, Praisegod Samkelo Thobani, Ntonintshi, Lindiwe, Ntseane, Dipuo, Ntseane, Thobeka, Ntsham, Xolelwa, Ntshele, Mbalenhle, Ntshewula, Amanda, Ntsoko, Zinzi, Ntsoto, Athini, Ntuli, Nomsa, Ntuli, Nokwazi, Ntuli, Nomvula, Ntuli, Andrew Diffar, Ntuli, Faith, Nurnberger, Margrit, Nxala, Ntsikelelo, Nxasane, Sithandiwe, Nxumalo, Mr Thanda, Nyathi, Xolani, Nyawula, Nontobeko, Nzama, Nhlakanipho, Obed, Maila Nkuneng, Ogwal, Florence, Olifant, Maureen, Oliphant, Mr B, Olive, Monota, Olyn, Kagisho, Omoighe, Raymond, One, Phumeza, Oscar, Ratombo, Owen, Nkuna, P, Mailula, Padayachee, Nalini, Padayachy, Vasaily, Pakade, Ntombizakhe, Palime, Mosiuoa, Palisa, Jane, Parker, Arifa, Parkies, Lesenyeho, Parrish, Andy, Patel, Nilesh, Pather, Anastasia, Patience, Mkhombo Tsakani, Patzke, Marisa, Pawuli, Akhumzi, Pelako, Ntandokazi, Penrose, Phaswana Sibasa, Peppeta, Litha, Pershad, Santosh, Pertunia, Makheda, Pertunia, Nkuna, Perumal, Dane, Peter, Mongameli, Peters, Justin, Petlane, Vatiswa, Petrus, Harideen, Phahladira, Kgomotso, Phakisa, Matebesi John, Phale, R, Phathela, Livhuwani, Phillip, Sekate Daniel, Phiri, Beverly, Phiri, Mapule Precious, Phokane, Thapelo, Phokoane, Frank, Pholosho, Moele, Phooko, Sekoro, Phooko, Sekodi Geoffrey, Phutiane, Maponya, Pillay, Faiza, Pillay, Melanie, Pillay, Sayuri, Pillay, CR, Plaatjie, Zikhona, Pootona, James, Potgieter, Samantha, Potgieter, Marius, Precious, Mulaudzi Mulatedzi, Pretorius, Paul Janus, Prozesky, Hans, Pule, Mokhethi, Punwasi, Jayshina, Putzier, Dot, Qankqiso, Lutho, Qebedu, Siphokazi, Qhola, Phozisa, Qotoyi, Ntombesithathu, Qotso, Sipho Victor, Qwabe, Zanele, Rabie, Helena, Rabothata, Phoebe, Rachoene, Christina, Radana, Mteteleli, Radebe, Maria, Radebe, Dr. Valentino, Radebe, Nonkululeko, Radinne, Ella, Raduvha, Sherly, Raghunath, Shamintha, Rajagopaul, Claudine, Rakgwale, Mary, Ralethe, Malumbete Michael, ralimo, Kenneth, Ramafoko, Motlalepule, Ramagoma, Maduvhahafani, Raman, Charlotte, Ramavhuya, Dr, Rambally, Molly, Ramdeen, Nivasha, Ramdin, Tanusha, Rameshwarnath, Sharita, Ramkillawan, Yeishna, Ramotlou, Rampedi, Faith, Rampersad, Vijayluxmi, Ramuima, Avhashoni, Ranone, Noluthando, Rapasa, Mabohlale Portia, rapelang, Mpharoane, Raphaely, Nika, Rashokeng, Lesiba, Rashopola, Caroline, Ratau, Tebogo, RATAU, M, Ratshili, Mpfariseni David, Rautenbach, Elmari, Ravele, Rofhiwa, Reachable, Johannes, Rebecca, Peta Mmalahla, Reddy, Kessendri, Redfern, Andrew, Reed, Robertha, Rees, Mumsy, Reji, Dr, Reubenson, Gary, Rewthinarain, Veena, Rheeder, Paul, Rhulani, Nkonayani, Richard, Mufamadi, Rikhotso, J.S, Rikhotso, Shatimone Beverley, Robert, Lavhelani Ndivhaleni, Roto, Noncedo, Ruder, Gideon, Rugnath, Kapil, Ruiters, Lizette, Ruiters, Mina, Russell, Sue, Ruwiza, Lynn, RY, Molokoane, Saaiman, Mandy, Sabela, Emmanuel, Sadiq, Lerato, Saki, Litha, SALAMBWA, HYPPOLITE, Samjowan, Menitha, Samodien, Nazlee, Samuel, Rakgolele, Sandile, Fakudze, Sanelisiwe, Cekuse, Sani, Mandlankosi, Sawuka, Simangele, Schoeman, Lelani, Scholts, Magriet, Schroder, Ronel, Sebalabala, Mamotetekoane, Sebati, Selwalenkwe Collet, Seboko, Jacoline, Sebuthoma, Wilheminah, Segami, Annah, Segokotlo, Ruth, Sehloho, MR, Seisa, Khutjo, Sekgobela, Antony, Sekhosana, Monica, Sekonyela, John, Sekoto, Mpho, Sekulisa, Naledi, Sekwadi, Mokgadi Vanessa, Selaelo, Lebogo, Selatlha, Johannes, Selekolo, Kgomotso, Selfridge, William, Semenya, Lucy, Sengakane, Ivy, Sengata, Masabata, Sentle, Petronella, Seoketsa, Malebo, Seonandan, Pratheesha, Serumula, Thomas Mambushi, Setheni, Nkululeko, Setlale, Refiloe, Setlhodi, Tumediso, Setlhodi, Barbara, Setloghele, Robert, Sewpersad, Aarthi, Sewpersadh, Ryan, Shabalala, Phumlile, Shabangu, Owen, Shabangu, Kungesihe, Shabangu, Harriet Sbonangaye, Shabangu, Doctor Thokozani, Shadi, Clifford, Shaik, Hasifa, Shale, Tseliso, Shandu, Qedani, Shandu, Nomvelo, Shange, Ntswaki Marcia, Shenxane, Abongile, Sherriff, A, Shezi, Sebenzile, Shezi, Thenjiwe, Shihangule, Scally, Shikwambana, Cheyeza, Shoba, Lungisani, shokane, Kamogelo, Sibande, Nora, Sibeko, Lydia, Sibeko, Xolani, Sibiya, Zanele, Sibiya, Mncedisi, Sibuta, Sphamandla, Sifumba, Thembakazi, Sigcau, Sipho, Sigila, Lutho, Sihentshe, Kayakazi, Sihlangu, Bongani, Sikhakhane, Daisy, Sikhakhane, Shaun Nhlanhla, Siko, Mbali, Sikonje, Sipho, Simanga, Khumbulekile, Simango, Nomsa, Simela, Thulisile, Simelane, Ntombikayise, Singh, Sashah, Singh, Marjorie, Singh, Mrs Ragani, Singh, Shash, Singh, Anita, Sithole, Hitekani, Sithole, Senzekile, Sithole, Ntokozo Danielle, Sithole, Koketso Maxwell, Situma, Jonnie, Sivraman, Annie, Siwela, Katekani, Siyewuyewu, Nonqubela, Sizeka, Maweya, Siziba, Nonceba, Skhosana, Andrew, Skhosana, Khanyisile, SKHOSANA, RORISANG, Skoko, Tandiwe, Slabbert, Sunet, Smangaliso, Ntombela, Smedley, Christine, Smit, Lydia, Smit, Natassia, Smit, Lizelle, Smit, Michelle, Smith, Fasie, Smith, Lizzie, Smith, Sunell, Smith, Cassius, Smuts, Stefan, Sofe, Ayanda, Solomon, Khobane, Solomon, LJ, Sombani, chauke, SONGCA, RICHARD, Sontamo, Anga, Soorju, Supriya, Sopazi, Zubenathi, Soqasha, Brian, Sosibo, Bongiwe, Sotsaka, Ntsika, Soula, Mandy, Spoor, Simon, Stacey, Sarah, Stali, Asanda, Stephina, Mutele Mmboniseni, Steup, Myra, Steven, Sinoxolo, Stevens, AW, Stevens, Vincent, Steyn, Dewald, Steyn, Bianca, Stocks, Pat, Stolk, Henk, Stoltz, Alida, Strehlau, Renate, Stroebel, Anneke, Strydom, Loraine, Strydom, Jean-Marie, Strydom, Anton, Strydom, Ursula, Sunnyraj, Midhu, Swana, Nwabisa, Swanepoel, Winnie, Swanepoel, Suzan, Swartbooi, Elsie, Swartz, Estley Swartz, Syce, Casandra, T.E, Shihambi, Tabane, Joyce, Tabane, NE, Tawana, Mrs, Tebello, Ntene, Tembe, Siphosetu Wiseman, Terblanche, Samantha, Thabede, Ntombifuthi, Thabelo, Nkhumeleni, Thabethe, Sibusiso, Thabo George, Lekhanya, Thare, Keorapetse, Thebogo, Makofane, Thekiso, Lerato, Theko, Lloyd, Themba, Celimphilo Zandi, Theron, Danie, Theron, Henda, Theron, Ilze, Thingathinga, Thandiwe, THLABADIRA, M.M, Thoka, Dikeledi, Thokwana, Zanele, Thom, Gustav, Thubakgale, Mamphot Joel, Thwala, Theodora, Thys, P, Tieho, Monethi, Timothy, Matodzi, Tintswalo, Ndlovu, Tivana, Babalwa, Tladi, Molefi, Tokota, Bongiwe, Toni, Simthandile, Torres, Ariel, Toubkin, Mande, Tsatsi, Marinda, Tshabalala, Khanyisile, Tshamase, Nozibele, Tshefu, Gontse, Tshegofatjo, Makgoga, Tshikomba, Given, Tshilo, Thapelo, Tshira, Lerato, Tshirado, S.T, Tshisikule, Maipfi, Tsoke, G, TSOKE, N, Tsoko, Alatha, Tsotetsi, Mosele, TSUBELLA, SANDEVA, Tuswa, Noxolo, Tutse, Maipato, Tutu, Nomayenzeke, Twala, Sphephelo, Twala, Nhlanhla, Twala, Simphiwe, Ubisi, John, Unathi, Tefo, Van Aswegen, A, van der Merwe, Marietjie, van der Merwe, Trudie, van der Plank, Patience, van der Spuy, Elmarie, Van Der Westhuizen, Linda, Van Der Westhuizen, Adele, van der Westhuizen, Talana, van der Westhuyzen, Mene, Van Dyk, Thea, van Heerden, Ingrid, van Jaarsveld, Ryno, Van Lill, M, van Niekerk, Heidi, van Niekerk, Ben, van Rensburg, Amanda, van Schallwyk, Judy, Van Sensie, Zeitschke Yarnrich, van Vuuren, Magda, van Vuuren, Cloete, Vandu, Olga Funiswa, Vane, Mandisa, VanZyl, Lucia, Variava, Ebrahim, Veerus, Mariam, Velapi, Nokhwezi, Veleko, Sebina, Velezantsi, Z., Venter, Retha, Vergottini, Corlia, Vermeulen, Inga, Vidah, Liabara Lufuluvhi, Vilakazi, Bongani, Vilakazi, Treasure N, Vilakazi, Mbalenhle Precious, Viljoen, Karen, Viljoen, Werner, Volschenk, Zuretha, Vos, Angelo, VV, Matlala, Walters, Jacques, Webb, Kate, Welsh, John, WESSELS, D, Wheller, Judy, White, Fundile, White, Priscilla, Whyte, Carmen, Willemse, Ansie, William, Sape, Williams, Daniel, Williams, Kamielah, Williams, Mercia, Williamson, Anne, Wilson, Cherade, Wolff, Boipelo, Wray, Michelle, Xaba, Ntombizonke B, Xaba, Thabang Jabulani, Xiniwe, Thanks, Xoliswa, Mtshali, Xulu, Funokwakhe, Xulu, Gibson, Yam, Sandlakazi, Zakhura, NM, Zareloa, Mashela, Zinto, Sive, Zinziswa, Dyibeni, Ziselo, Lulamile, Zitha, Zakhele, Zitha, Emmanuel, Zokufa, Anele, Zondi, Innocent, Zondi, Sikhumbuzo Bernard, Zondi, Sbuyi, Zondi, Thulani, Zongola, Wandiswa, Zühlke, Liesl, Zulu, Zandile, ZULU, LUNGELO, Zulu, Thandeka, Zulu, Slindili, Zulu, Nkosinathi, Zuma, Angel, Zungu, precious, Zungu, Pamela, Zungu, Melusi, Zungu, Priscilla, Zwakala, Bongo Lihle, Zwane, Antonia, Zwane, Promise, Zwane, Muziwendoda, Zwane, Hlengiwe Priscila, Zwane, Nomgcobo, Jassat, Waasila, Mudara, Caroline, Ozougwu, Lovelyn, Tempia, Stefano, Blumberg, Lucille, Davies, Mary-Ann, Pillay, Yogan, Carter, Terence, Morewane, Ramphelane, Wolmarans, Milani, von Gottberg, Anne, Bhiman, Jinal N, Walaza, Sibongile, and Cohen, Cheryl
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- 2021
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22. The political technology of the ‘Camp’ in historical capitalism
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Welsh, John
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- 2021
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23. Two‐centre real‐world pilot of a biopsychosocial digital health tool to deliver personalised visits and enhance value of rtCGM.
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Kelly, Ryan Charles, Holt, Richard I.G., Kanumilli, Naresh, Milne, Nicola, Owen, Mathew, Whitrow, Catherine, Barnard, Ethan, Welsh, John, and Barnard‐Kelly, Katharine
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- 2024
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24. Hemostasis stimulates lymphangiogenesis through release and activation of VEGFC
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Lim, Lillian, Bui, Hung, Farrelly, Olivia, Yang, Jisheng, Li, Li, Enis, David, Ma, Wanshu, Chen, Mei, Oliver, Guillermo, Welsh, John D., and Kahn, Mark L.
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- 2019
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25. Hemodynamic regulation of perivalvular endothelial gene expression prevents deep venous thrombosis
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Welsh, John D., Hoofnagle, Mark H., Bamezai, Sharika, Oxendine, Michael, Lim, Lillian, Hall, Joshua D., Yang, Jisheng, Schultz, Susan, Engel, James Douglas, Kume, Tsutomu, Oliver, Guillermo, Jimenez, Juan M., and Kahn, Mark L.
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Pulmonary embolism -- Prevention ,Valves ,Endothelium ,Thrombophlebitis -- Prevention ,Gene expression ,DNA binding proteins ,Blood flow ,Protein C ,Proteins ,Embolism ,Phenotypes ,Health care industry - Abstract
Deep venous thrombosis (DVT) and secondary pulmonary embolism cause approximately 100,000 deaths per year in the United States. Physical immobility is the most significant risk factor for DVT, but a molecular and cellular basis for this link has not been defined. We found that the endothelial cells surrounding the venous valve, where DVTs originate, express high levels of FOXC2 and PROX1, transcription factors known to be activated by oscillatory shear stress. The perivalvular venous endothelial cells exhibited a powerful antithrombotic phenotype characterized by low levels of the prothrombotic proteins vWF, P-selectin, and ICAM1 and high levels of the antithrombotic proteins thrombomodulin (THBD), endothelial protein C receptor (EPCR), and tissue factor pathway inhibitor (TFPI). The perivalvular antithrombotic phenotype was lost following genetic deletion of FOXC2 or femoral artery ligation to reduce venous flow in mice, and at the site of origin of human DVT associated with fatal pulmonary embolism. Oscillatory blood flow was detected at perivalvular sites in human veins following muscular activity, but not in the immobile state or after activation of an intermittent compression device designed to prevent DVT. These findings support a mechanism of DVT pathogenesis in which loss of muscular activity results in loss of oscillatory shear-dependent transcriptional and antithrombotic phenotypes in perivalvular venous endothelial cells, and suggest that prevention of DVT and pulmonary embolism may be improved by mechanical devices specifically designed to restore perivalvular oscillatory flow., Introduction Deep venous thrombosis (DVT) is a common vascular disease with an annual incidence of 0.1% among the general population, and more than 1% among hospitalized individuals (1). Pulmonary embolism--the [...]
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- 2019
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26. Subjectivising academics: the ranking apparatus, social transformation, and a 'crisis of subjectivity'
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Welsh, John
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- 2020
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27. Tukhta: labour and resistance in the audit regime of the Soviet Gulag.
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Welsh, John
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PHRONESIS , *MEMOIRS , *POLITICAL opposition , *SOCIAL epistemology , *ARCHIPELAGOES - Abstract
Working from the memoir literature of Soviet Gulag survivors, the article explores the curious practice of tukhta as contrived by the toiling zeks of the archipelago. In a labour regime tasked with accumulating surplus, destroying political dissent, and transforming the subjectivity of the imprisoned, tukhta proved to be a tactical means for resisting the logic of Gulag as an audit regime. The subtle labour control of numbers effected by Gulag demanded equally sophisticated practices of resistance on the part of the zeks subjected to its technique, and tukhta was one of those practices. When treated as a kind of phronesis, the informal and ethical quality to the practice of tukhta can be appreciated in a way that more formal social scientific epistemology and historical method would miss. Perhaps the most salient counter-conduct to be found in the experiences of Gulag's orchestration of labour control, tukhta has the potential to reveal a great deal about audit regimes generically beyond the historical bounds of Soviet Russia. Historical inspiration for engaging audit regimes can therefore be derived from the ethico-political practice of tukhta, where otherwise there might just be pessimism, demoralization, and resigned acceptance to the awesome power of those regimes. [ABSTRACT FROM AUTHOR]
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- 2024
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28. Tukhta: labour and resistance in the audit regime of the Soviet Gulag
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Welsh, John, primary
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- 2023
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29. Real-Time Sharing and Following of Continuous Glucose Monitoring Data in Youth
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Welsh, John B., Derdzinski, Mark, Parker, Andrew Scott, Puhr, Sarah, Jimenez, Annika, and Walker, Tomas
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- 2019
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30. Sarcoidosis-induced alopecia
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House, Nancy S, Welsh, John P, and English, Joseph C, III
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- 2012
31. Normal Motor Learning during Pharmacological Prevention of Purkinje Cell Long-Term Depression
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Welsh, John P., Zeng, Xiao-Hui, Sugimori, Mutsuyuki, and Llinás, Rodolfo R.
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- 2005
32. Fundamental Role of Inferior Olive Connexin 36 in Muscle Coherence during Tremor
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Placantonakis, Dimitris G., Bukovsky, Anatoly A., Zeng, Xiao-Hui, Kiem, Hans-Peter, Welsh, John P., and Llinás, Rodolfo R.
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- 2004
33. Governing Academics : The Historical Transformation from Discipline to Control
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Welsh, John
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- 2017
34. Cationic polymer precipitation for enhanced impurity removal in downstream processing
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Li, Zhao, primary, Chen, Justin, additional, Martinez‐Fonts, Kirby, additional, Rauscher, Michael, additional, Rivera, Shannon, additional, Welsh, John, additional, and Kandula, Sunitha, additional
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- 2023
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35. Civitas sine suffragio : a new (old) concept for critical geopolitics
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Welsh, John, primary
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- 2023
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36. Large-Scale Delineation of Secreted Protein Biomarkers Overexpressed in Cancer Tissue and Serum
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Welsh, John B., Sapinoso, Lisa M., Kern, Suzanne G., Brown, David A., Liu, Tao, Bauskin, Asne R., Ward, Robyn L., Hawkins, Nicholas J., Quinn, David I., Russell, Pamela J., Sutherland, Robert L., Breit, Samuel N., Moskaluk, Christopher A., Frierson,, Henry F., and Hampton, Garret M.
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- 2003
37. Assessment of gene expression in many samples using vertical arrays
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Risques, Rosa Ana, Rondeau, Gaelle, Judex, Martin, McClelland, Michael, and Welsh, John
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Biological Sciences ,Bioinformatics and Computational Biology ,Genetics ,Biotechnology ,Human Genome ,Generic health relevance ,Cell Line ,Gene Expression Profiling ,Gene Expression Regulation ,Humans ,Oligonucleotide Array Sequence Analysis ,RNA ,Messenger ,Reverse Transcriptase Polymerase Chain Reaction ,Environmental Sciences ,Information and Computing Sciences ,Developmental Biology ,Biological sciences ,Chemical sciences ,Environmental sciences - Abstract
Microarrays and high-throughput sequencing methods can be used to measure the expression of thousands of genes in a biological sample in a few days, whereas PCR-based methods can be used to measure the expression of a few genes in thousands of samples in about the same amount of time. These methods become more costly as the number of biological samples increases or as the number of genes of interest increases, respectively, and these factors constrain experimental design. To address these issues, we introduced 'vertical arrays' in which RNA from each biological sample is converted into multiple, overlapping cDNA subsets and spotted on glass slides. These vertical arrays can be queried with single gene probes to assess the expression behavior in thousands of biological samples in a single hybridization reaction. The spotted subsets are less complex than the original RNA from which they derive, which improves signal-to-noise ratios. Here, we demonstrate the quantitative capabilities of vertical arrays, including the sensitivity and accuracy of the method and the number of subsets needed to achieve this accuracy for most expressed genes.
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- 2008
38. Analysis of Gene Expression Profiles in Normal and Neoplastic Ovarian Tissue Samples Identifies Candidate Molecular Markers of Epithelial Ovarian Cancer
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Welsh, John B., Zarrinkar, Patrick P., Sapinoso, Lisa M., Kern, Suzanne G., Behling, Cynthia A., Monk, Bradley J., Lockhart, David J., Burger, Robert A., and Hampton, Garret M.
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- 2001
39. 6. THE FALL OF THE WALL (1989–1996): THE FORCES OF THE WAVE
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Welsh, John, primary, Ito, Toyo, additional, Lootsma, Bart, additional, Stralen, Mariëtte van, additional, Bekaert, Geert, additional, Werner, Frank R., additional, Vidler, Anthony, additional, Jameson, Fredric, additional, Speaks, Michael, additional, Vermeulen, Paul, additional, Woodbridge, Sally B., additional, Kwinter, Sanford, additional, Pope, Albert, additional, Zaera-Polo, Alejandro, additional, Zwaap, René, additional, Muschamp, Herbert, additional, Kuhnert, Nikolaus, additional, Oswalt, Philipp, additional, Meuwissen, Joost, additional, Bouman, Ole, additional, Toorn, Roemer van, additional, Coupland, Douglas, additional, Crary, Jonathan, additional, Jencks, Charles, additional, Somol, Robert E., additional, Ingersoll, Richard, additional, Graafland, Arie, additional, Haan, Jasper de, additional, and Kipnis, Jeffrey, additional
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- 2019
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40. Course Ownership in a New Technological Context: The Dynamics of Problem Definition
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Welsh, John F.
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- 2000
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41. Hemostatic Thrombus Formation in Flowing Blood
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Brass, Lawrence F., primary, Tomaiuolo, Maurizio, additional, Welsh, John, additional, Poventud-Fuentes, Izmarie, additional, Zhu, Li, additional, Diamond, Scott L., additional, and Stalker, Timothy J., additional
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- 2019
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42. Contributors
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Alsousou, Joseph, primary, Angiolillo, Dominick J., additional, Arachiche, Amal, additional, Aster, Richard H., additional, Barbui, Tiziano, additional, Basili, Stefania, additional, Battinelli, Elisabeth M., additional, Bavry, Anthony A., additional, Bergmeier, Wolfgang, additional, Bertrand, Gerald, additional, Bhatt, Deepak L., additional, Blair, Thomas A., additional, Bledzka, Kamila, additional, Borst, Oliver, additional, Bouck, Emma G., additional, Brass, Lawrence F., additional, Bray, Paul F., additional, Briggs, Carol, additional, Brzoska, Tomasz, additional, Bussel, James B., additional, Cattaneo, Marco, additional, Chakravorty, Subarna, additional, Chan, Noel C., additional, Chaturvedi, Shruti, additional, Chong, Beng H., additional, Clemetson, Kenneth J., additional, Clemetson, Jeannine M., additional, Coller, Barry S., additional, del Zoppo, Gregory J., additional, Despotovic, Jenny M., additional, Diamond, Scott L., additional, Easton, J. Donald, additional, Eto, Koji, additional, Falet, Hervé, additional, Ferrer-Marin, Francisca, additional, Finazzi, Guido, additional, Flaumenhaft, Robert, additional, Freedman, Jane E., additional, Frelinger, Andrew L., additional, Freson, Kathleen, additional, Gasecka, Aleksandra, additional, Gawaz, Meinrad, additional, Giannini, Silvia, additional, Greinacher, Andreas, additional, Gremmel, Thomas, additional, Gurbel, Paul A., additional, Haining, Elizabeth J., additional, Han, Xu, additional, Harrison, Paul, additional, Hayward, Catherine P.M., additional, Hoffmeister, Karin, additional, Hvas, Anne-Mette, additional, Israels, Sara J., additional, Italiano, Joseph E., additional, Jeong, Young-Hoon, additional, Johnson, Andrew D., additional, Kaplan, Cecile, additional, Karagiannis, Peter, additional, Kato, Gregory J., additional, Kemble, Samuel, additional, Kolandaivelu, Kumaran, additional, Koupenova, Milka, additional, Kuter, David J., additional, Lambert, Michele P., additional, Lee, Robert H., additional, Levin, Jack, additional, Li, Renhao, additional, Li, Zhenyu, additional, Li, Zihai, additional, Li, Anqi, additional, Liani, Rossella, additional, Lordkipanidzé, Marie, additional, Lorenz, Viola, additional, Machlus, Kellie R., additional, Mahtta, Dhruv, additional, Mannucci, Pier Mannuccio, additional, McCrae, Keith R., additional, Metelli, Alessandra, additional, Michelson, Alan D., additional, Moffat, Karen A., additional, Moon, Jae Youn, additional, Morrissey, James H., additional, Mutch, Nicola J., additional, Nagy, Zoltan, additional, Ni, Heyu, additional, Nicolson, Phillip L.R., additional, Nieman, Marvin T., additional, Nieuwland, Rienk, additional, Onselaer, Marie-Blanche, additional, Patrono, Carlo, additional, Plow, Edward F., additional, Poncz, Mortimer, additional, Poon, Man-Chiu, additional, Poulter, Natalie S., additional, Poventud-Fuentes, Izmarie, additional, Provost, Patrick, additional, Qin, Jun, additional, Rayes, Julie, additional, Reiner, Alexander P., additional, Riesenberg, Brian, additional, Roberts, Irene A.G., additional, Rondina, Matthew T., additional, Rowley, Jesse W., additional, Santilli, Francesca, additional, Scharf, Rüdiger E., additional, Senis, Yotis A., additional, Sharda, Anish, additional, Siddon, Alexa J., additional, Siljander, Pia R.-M., additional, Tricoci, Pierluigi, additional, Simeone, Paola, additional, Smith, Stephanie A., additional, Smyth, Susan S., additional, Snyder, Edward L., additional, Sola-Visner, Martha, additional, Stalker, Timothy J., additional, Stefanini, Lucia, additional, Sugimoto, Naoshi, additional, Sundd, Prithu, additional, Tantry, Udaya S., additional, Tefferi, Ayalew, additional, Thomas, Steven G., additional, Thomas, Mark R., additional, Tomaiuolo, Maurizio, additional, Tormey, Christopher A., additional, Tsai, Han-Mou, additional, Violi, Francesco, additional, Warkentin, Theodore E., additional, Watson, Steve P., additional, Weitz, Jeffrey I., additional, Welsh, John, additional, Weyrich, Andrew S., additional, Wilcox, David A., additional, Wu, Bill X., additional, Yeaman, Michael R., additional, Zhu, Li, additional, Zimmerman, Guy A., additional, and Zunica, Elizabeth R., additional
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- 2019
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43. Enhanced microarray performance using low complexity representations of the transcriptome.
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Rondeau, Gaëlle, McClelland, Michael, Nguyen, Toan, Risques, Rosana, Wang, Yipeng, Judex, Martin, Cho, Ann H, and Welsh, John
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Cell Line ,Humans ,RNA ,Messenger ,Oligodeoxyribonucleotides ,Oligonucleotide Array Sequence Analysis ,Gene Expression Profiling ,Transcription ,Genetic ,Gene Expression Regulation ,RNA ,Messenger ,Transcription ,Genetic ,Developmental Biology ,Environmental Sciences ,Biological Sciences ,Information and Computing Sciences - Abstract
Low abundance mRNAs are more difficult to examine using microarrays than high abundance mRNAs due to the effect of concentration on hybridization kinetics and signal-to-noise ratios. This report describes the use of low complexity representations (LCRs) of mRNA as the targets for cDNA microarrays. Individual sequences in LCRs are more highly represented than in the mRNA populations from which they are derived, leading to favorable hybridization kinetics. LCR targets permit the measurement of abundance changes that are difficult to measure using oligo(dT) priming for target synthesis. An oligo(dT)-primed target and three LCRs detect twice as many differentially regulated genes as could be detected by the oligo(dT)-primed target alone, in an experiment in which serum-starved fibroblasts responded to the reintroduction of serum. Thus, this target preparation strategy considerably increases the sensitivity of cDNA microarrays.
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- 2005
44. Kees van der Pijl, States of Emergency: Keeping the Global Population in Check
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Welsh, John, primary
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- 2023
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45. Imagining Arms : Rationality and the Sociotechnical Imaginary of Swedish Defense Requirements Engineering
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Welsh, John and Welsh, John
- Abstract
Despite significant efforts at improving requirements engineering in the development of military systems, defense procurement is still plagued by expensive, well-publicized failures. Central to requirements engineering is the concept of rationality – more reason is assumed to eventually ‘solve’ the problem of defense requirements engineering. This thesis suggests that rationality, instead of being an objective standard, might be part of a socially constructed framework for action. Leaning on Science and Technology Studies for a theoretical framework, it is suggested that rationality and irrationality is part of a larger sociotechnical imaginary which outlines desirable outcomes, actions, and values in military systems development. This thesis presents an interview study of requirements analysts in the Swedish defense sector to outline if and how rationality relates to the narrative of this potential imaginary. The results indicate that a Swedish defense requirements engineering imaginary consists of a rationality/irrationality dichotomy which sets the stage for action in a state of chaos, and that the narrative associated with that imaginary enables the
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- 2023
46. Lymphovenous hemostasis and the role of platelets in regulating lymphatic flow and lymphatic vessel maturation
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Welsh, John D., Kahn, Mark L., and Sweet, Daniel T.
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- 2016
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47. A systems approach to hemostasis: 4. How hemostatic thrombi limit the loss of plasma-borne molecules from the microvasculature
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Welsh, John D., Muthard, Ryan W., Stalker, Timothy J., Taliaferro, Joshua P., Diamond, Scott L., and Brass, Lawrence F.
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- 2016
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48. Kinesin-like protein CENP-E is upregulated in rheumatoid synovial fibroblasts
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Kullmann, Frank, Judex, Martin, Ballhorn, Wibke, Jüsten, Hans-Peter, Wessinghage, Dieter, Welsh, John, Yen, Tim J, Lang, Bernhard, Hittle, Jim C, McClelland, Michael, Gay, Steffen, Schölmerich, Jürgen, and Müller-Ladner, Ulf
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Biomedical and Clinical Sciences ,Clinical Sciences ,Immunology ,Genetics ,Biotechnology ,Arthritis ,Autoimmune Disease ,Rheumatoid Arthritis ,Aetiology ,2.1 Biological and endogenous factors ,Inflammatory and immune system ,Adult ,Aged ,Arthritis ,Rheumatoid ,Cells ,Cultured ,Chromosomal Proteins ,Non-Histone ,Cloning ,Molecular ,Culture Media ,Serum-Free ,Female ,Fibroblasts ,Gene Expression Regulation ,Humans ,Male ,Middle Aged ,Molecular Sequence Data ,Osteoarthritis ,Polymerase Chain Reaction ,Prednisolone ,RNA ,Messenger ,Synovial Membrane ,Up-Regulation ,arthritis ,centromere ,differential display ,immunohistochemistry ,in situ hybridization ,RNA fingerprinting ,Public Health and Health Services ,Arthritis & Rheumatology ,Clinical sciences - Abstract
UnlabelledArticular destruction by invading synovial fibroblasts is a typical feature in rheumatoid arthritis (RA),. Recent data support the hypothesis that key players in this scenario are transformed-appearing synovial fibroblasts at the site of invasion into articular cartilage and bone. They maintain their aggressive phenotype toward cartilage, even when first cultured and thereafter coimplanted together with normal human cartilage into severe combined immunodeficient mice for and extended period of time. However, little is known about the upregulation of genes that leads to this aggressive fibroblast phenotype. To inhibit this progressive growth without interfering with pathways of physiological matrix remodelling, identification of pathways that operate specifically in RA synovial fibroblasts is required. In order to achieve this goal, identification of genes showing upregulation restricted to RA synovial fibroblasts is essential.AimsTo identify specifically expressed genes using RNA arbitrarily primed (RAP)-polymerase chain reaction (PCR) for differential display in patients with RA.MethodsRNA was extracted from cultured synovial fibroblasts from 10 patients with RA, four patients with osteoarthritis (OA), and one patient with psoriatic arthritis. RAP-PCR was performed using different arbitrary primers for first-strand and second-strand synthesis. First-strand and second-strand synthesis were performed using arbitrary primers: US6 (5'-GTGGTGACAG-3') for first strand, and Nuclear 1+ (5'ACGAAGAAGAG-3'), OPN28 (5'GCACCAGGGGG-3'), Kinase A2+(5'-GGTGCCTTTGG-3') and OPN24 (5'AGGGGCACCA-3') for second strand synthesis. PCR reactions were loaded onto 8 mol/l urea/6% polyacrylamide-sequencing gels and electrophoressed. Gel slices carrying the target fragment were then excised with a razor blade, eluated and reamplified. After verifying their correct size and purity on 4% agarose gels, the reamplified products derived from the single-strand confirmation polymorphism gel were cloned, and five clones per transcript were sequenced. Thereafter, a genbank analysis was performed. Quantitative reverse transcription PCRj of the segments was performed using the PCR MIMIC technique. In-situ expression of centromere kinesin-like protein-E (CENP-E) messenger (m)RNA in RA synovium was assessed using digoxigenin-labelled riboprobes, and CENP-E protein expression in fibroblasts and synovium was performed by immunogold-silver immunohistochemistry and cytochemistry. Functional analysis of CENP-E was done using different approaches (eg glucocorticoid stimulation, serum starvation and growth rate analysis of synovial fibroblasts that expressed CENP-E).ResultsIn RA, amplification of a distinct PCR product suitable for sequencing could be observed. The indicated complementary DNA fragment of 434 base pairs from RA mRNA corresponded to nucleotides 6615-7048 in the human centromere kinesin-like protein CENP-E mRNA (GenBank accession No. emb/Z15005). The isolated sequence shared greater than 99% nucleic acid (P=2.9e(-169)) identify with the human centromere kinesin-like protein CENP-E. Two base changes at positions 6624 (A to C) and 6739 (A to G) did not result in alteration in the amino acid sequence, and therefore 100% amino acid identity could be confirmed. The amplification of 10 clones of the cloned RAP product revealed the presence of CENP-E mRNA in every fibroblast culture examined, showing from 50% (271.000 +/- 54.000 phosphor imager arbitrary units) up to fivefold (961.000 +/- 145.000 phosphor image arbitrary units) upregulation when compared with OA fibroblasts. Neither therapy with disease-modifying antirheumatic drugs such as methotrexate, gold, resochine or cyclosporine A, nor therapy with oral steroids influenced CENP-E expression in the RA fibroblasts. Of the eight RA fibroblast populations from RA patients who were receiving disease-modifying antirheumatic drugs, five showed CENP-E upregulation; and of the eight fibroblast populations from RA patients receiving steroids, four showed CENP-E upregulation. Numerous synovial cells of the patients with RA showed a positive in situ signal for the isolated CENP-E gene segment confirming CENP-E mRNA production in rheumatoid synovium, whereas in OA synovial tissue CENP-E mRNA could not be detected. In addition, CENP-E expression was independent from medication. This was further confirmed by analysis of the effect of prednisolone on CENP-E expression, which revealed no alteration in CENP-E mRNA after exposure to different (physiological) concentrations of prednisolone. Serum starvation also could not suppress CENP-E mRNA completely.DiscussionSince its introduction in 1992, numerous variants of the differential display method and continuous improvements including RAP-PCR have proved to have both efficiency and reliability in examination of differentially regulated genes. The results of the present study reveal that RAP-PCR is a suitable method to identify differentially expressed genes in rheumatoid synovial fibroblasts. The mRNA, which has been found to be upregulated in rheumatoid synovial fibroblasts, codes for a kinesin-like motor protein named CENP-E, which was first characterized in 1991. It is a member of a family of centromere-associated proteins, of which six (CENP-A to CENP-F) are currently known. CENP-E itself is a kinetochore motor, which accumulates transiently at kinetochores in the G2 phase of the cell cycle before mitosis takes place, appears to modulate chromosome movement and spindle elongation,and is degraded at the end of mitosis. The presence or upregulation of CENP-E has never been associated with RA.The three-dimensional structure of CENP-E includes a coiled-coil domain. This has important functions and shows links to known pathways in RA pathophysiology. Coiled-coil domains can also be found in jun and fos oncogene products, which are frequently upregulated in RA synovial fibroblasts. They are also involved in DNA binding and transactivation processes resembling the situation in AP-1 (Jun/Fos)-dependent DNA-binding in rheumatoid synovium. Most interestingly, these coiled-coil motifs are crucial for the assembly of viral proteins, and the upregulation of CENP-E might reflect the influence of infectious agents in RA synovium. We also performed experiments showing that serum starvation decreased, but did not completely inhibit CENP-E mRNA expression. This shows that CENP-E is related to, but does not completely depend on proliferation of these cells. In addition, we determined the growth rate of CENP-E high and low expressors, showing that it was independent from the amount of CENP-E expression. supporting the statement that upregulation of CENP-E reflects an activated RA fibroblast phenotype. In summary, the results of the present study support the hypothesis that CENP-E, presumably independently from medication, may not only be upregulated, but may also be involved in RA pathophysiology.
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- 1999
49. Noninferiority Designed Cardiovascular Trials in Highest-Impact Journals: Main Findings, Methodological Quality, and Time Trends
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Bikdeli, Behnood, Welsh, John W., Akram, Yasir, Punnanithinont, Natdanai, Lee, Ike, Desai, Nihar R., Kaul, Sanjay, Stone, Gregg W., Ross, Joseph S., and Krumholz, Harlan M.
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- 2019
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50. Investigating Effects of Fluid Shear Stress on Lymphatic Endothelial Cells
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Sweet, Daniel T., primary, Hall, Joshua D., additional, Welsh, John, additional, Kahn, Mark L., additional, and Jiménez, Juan M., additional
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- 2018
- Full Text
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