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5. Constructing and Machine Learning Calabi-Yau Five-folds

Author

Alawadhi, R., Angella, D., Leonardo, A., and Gherardini, T. Schettini

Subjects
High Energy Physics - Theory, Computer Science - Machine Learning, Mathematics - Algebraic Geometry
Abstract

We construct all possible complete intersection Calabi-Yau five-folds in a product of four or less complex projective spaces, with up to four constraints. We obtain $27068$ spaces, which are not related by permutations of rows and columns of the configuration matrix, and determine the Euler number for all of them. Excluding the $3909$ product manifolds among those, we calculate the cohomological data for $12433$ cases, i.e. $53.7 \%$ of the non-product spaces, obtaining $2375$ different Hodge diamonds. The dataset containing all the above information is available at https://www.dropbox.com/scl/fo/z7ii5idt6qxu36e0b8azq/h?rlkey=0qfhx3tykytduobpld510gsfy&dl=0 . The distributions of the invariants are presented, and a comparison with the lower-dimensional analogues is discussed. Supervised machine learning is performed on the cohomological data, via classifier and regressor (both fully connected and convolutional) neural networks. We find that $h^{1,1}$ can be learnt very efficiently, with very high $R^2$ score and an accuracy of $96\%$, i.e. $96 \%$ of the predictions exactly match the correct values. For $h^{1,4},h^{2,3}, \eta$, we also find very high $R^2$ scores, but the accuracy is lower, due to the large ranges of possible values., Comment: 40 pages, 8 tables, 2 figures; v2: published in Fortschritte der Physik - Progress of Physics, minor changes in the introduction, conclusion and acknowledgements, references added

Published
2023
Full Text
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9. ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs.

Author

Zheng, Zhiling, Zhang, Oufan, Nguyen, Ha, Rampal, Nakul, Alawadhi, Ali, Rong, Zichao, Head-Gordon, Teresa, Borgs, Christian, Chayes, Jennifer, and Yaghi, Omar

Abstract

We leveraged the power of ChatGPT and Bayesian optimization in the development of a multi-AI-driven system, backed by seven large language model-based assistants and equipped with machine learning algorithms, that seamlessly orchestrates a multitude of research aspects in a chemistry laboratory (termed the ChatGPT Research Group). Our approach accelerated the discovery of optimal microwave synthesis conditions, enhancing the crystallinity of MOF-321, MOF-322, and COF-323 and achieving the desired porosity and water capacity. In this system, human researchers gained assistance from these diverse AI collaborators, each with a unique role within the laboratory environment, spanning strategy planning, literature search, coding, robotic operation, labware design, safety inspection, and data analysis. Such a comprehensive approach enables a single researcher working in concert with AI to achieve productivity levels analogous to those of an entire traditional scientific team. Furthermore, by reducing human biases in screening experimental conditions and deftly balancing the exploration and exploitation of synthesis parameters, our Bayesian search approach precisely zeroed in on optimal synthesis conditions from a pool of 6 million within a significantly shortened time scale. This work serves as a compelling proof of concept for an AI-driven revolution in the chemistry laboratory, painting a future where AI becomes an efficient collaborator, liberating us from routine tasks to focus on pushing the boundaries of innovation.

Published
2023

10. Aspects of the Classical Double Copy

Author

Alawadhi, Rashid

Subjects
High Energy Physics - Theory, General Relativity and Quantum Cosmology
Abstract

This thesis applies the Kerr-Schild and the Weyl double copy formalisms to study various concepts in the physics literature. First we apply both the Kerr-Schild and the Weyl double copy to solution generating transformations in General Relativity, where we identify Ehlers transformation as the double copy of electromagnetic duality transformation. Secondly, as a spin-off of the Weyl double copy, we use gauge fields defined on curved spacetimes to construct the Weyl tensor and study a host of solution of Einstein's equations. This study provides a test of the non-triviality of the double copy formalism. The second half of the thesis deals with mathematical concepts of physical relevance. First we apply the Kerr-Schild double copy to the concept of holonomy groups of Riemannian manifolds. We find that the single copy of the Riemannian holonomy operator, which we dub SCH, to be a similar operator constructed from the single copy gauge-field curvature. This is followed by a study of this single copy operator on different solutions of Einstein equations and their respective single copies, where we find that the holonomy and SCH groups differ for the Taub-NUT metric, while both reducing to $\text{SU}(2)$ for self-dual solutions. Lastly, we apply the Kerr-Schild double copy to the Ricci flow equation, interpreted as the beta function of the closed string, and obtain the Yang-Mills flow equation, which is physically interpreted as the beta function of the open string coupled to a gauge field., Comment: PhD thesis

Published
2023

11. Coronal Heating as Determined by the Solar Flare Frequency Distribution Obtained by Aggregating Case Studies

Author

Mason, James Paul, Werth, Alexandra, West, Colin G., Youngblood, Allison A., Woodraska, Donald L., Peck, Courtney, Lacjak, Kevin, Frick, Florian G., Gabir, Moutamen, Alsinan, Reema A., Jacobsen, Thomas, Alrubaie, Mohammad, Chizmar, Kayla M., Lau, Benjamin P., Dominguez, Lizbeth Montoya, Price, David, Butler, Dylan R., Biron, Connor J., Feoktistov, Nikita, Dewey, Kai, Loomis, N. E., Bodzianowski, Michal, Kuybus, Connor, Dietrick, Henry, Wolfe, Aubrey M., Guerrero, Matt, Vinson, Jessica, Starbuck, Peter, Litton, Shelby D, Beck, M. G., Fisch, Jean-Paul, West, Ayana, Muniz, Alexis A., Chavez, Luis, Upthegrove, Zachary T., Runyon, Brenton M., Salazar, J., Kritzberg, Jake E., Murrel, Tyler, Ho, Ella, LaFemina, Quintin Y., Elbashir, Sara I., Chang, Ethan C., Hudson, Zachary A., Nussbaum, Rosemary O., Kennedy, Kellen, Kim, Kevin, Arango, Camila Villamil, Albakr, Mohammed A., Rotter, Michael, Garscadden, A. J., Salcido-Alcontar JR, Antonio, Pearl, Harrison M., Stepaniak, Tyler, Marquez, Josie A., Marsh, Lauren, Andringa, Jesse C, Osogwin, Austin, Shields, Amanda M., Brookins, Sarah, Hach, Grace K., Clausi, Alexis R., Millican, Emily B., Jaimes, Alan A, Graham, Alaina S., Burritt, John J., Perez, J. S., Ramirez, Nathaniel, Suri, Rohan, Myer, Michael S., Kresek, Zoe M., Goldsberry, C. A., Payne, Genevieve K., Jourabchi, Tara, Hu, J., Lucca, Jeffrey, Feng, Zitian, Gilpatrick, Connor B., Khan, Ibraheem A., Warble, Keenan, Sweeney, Joshua D., Dorricott, Philip, Meyer, Ethan, Kothamdi, Yash S., Sohail, Arman S., Grell, Kristyn, Floyd, Aidan, Bard, Titus, Mathieson, Randi M., Reed, Joseph, Cisneros, Alexis, Payne, Matthew P., Jarriel, J. R., Mora, Jacqueline Rodriguez, Sundell, M. E., Patel, Kajal, Alesmail, Mohammad, Alnasrallah, Yousef A, Abdullah, Jumana T., Molina-Saenz, Luis, Tayman, K. E., Brown, Gabriel T., Kerr-Layton, Liana, Berriman-Rozen, Zachary D., Hiatt, Quinn, Kalra, Etash, Ong, Jason, Vadayar, Shreenija, Shannahan, Callie D., Benke, Evan, zhang, Jinhua, Geisman, Jane, Martyr, Cara, Ameijenda, Federico, Akruwala, Ushmi H., Nehring, Molly, Kissner, Natalie, Rule, Ian C., Learned, Tyler, Smith, Alexandra N., Mazzotta, Liam, Rounsefell, Tyndall, Eyeson, Elizabeth A., Shelby, Arlee K., Moll, Tyler S, Menke, Riley, Shahba, Hannan, House Jr., Tony A., Clark, David B., Burns, Annemarie C., de La Beaujardiere, Tristan, Trautwein, Emily D., Plantz, Will, Reeves, Justin, Faber, Ian, Buxton, B. W., Highhouse, Nigel, Landrey, Kalin, Hansen, Connor M, Chen, Kevin, Hales, Ryder Buchanan, Borgerding, Luke R., Guo, Mutian, Crow, Christian J., Whittall, Lloyd C., Simmons, Conor, Folarin, Adeduni, Parkinson, Evan J., Rahn, Anna L., Blevins, Olivia, Morelock, Annalise M., Kelly, Nicholas, Parker, Nathan L., Smith, Kelly, Plzak, Audrey E., Saeb, David, Hares, Cameron T., Parker, Sasha R., McCoy, Andrew, Pham, Alexander V., Lauzon, Megan, Kennedy, Cayla J., Reyna, Andrea B., Acosta, Daniela M. Meza, Cool, Destiny J., Steinbarth, Sheen L., Mendoza-Anselmi, Patricia, Plutt, Kaitlyn E., Kipp, Isabel M, Rakhmonova, M., Brown, Cameron L., Van Anne, Gabreece, Moss, Alexander P., Golden, Olivia, Kirkpatrick, Hunter B., Colleran, Jake R., Sullivan, Brandon J, Tran, Kevin, Carpender, Michael Andrew, Mundy, Aria T., Koenig, Greta, Oudakker, Jessica, Engelhardt, Rasce, Ales, Nolan, Wexler, Ethan Benjamin, Beato, Quinn I, Chen, Lily, Cochran, Brooke, Hill, Paula, Hamilton, Sean R., Hashiro, Kyle, Khan, Usman, Martinez, Alexa M., Brockman, Jennifer L., Mallory, Macguire, Reed, Charlie, Terrile, Richard, Singh, Savi, Watson, James Adam, Creany, Joshua B., Price, Nicholas K., Miften, Aya M., Tran, Bryn, Kamenetskiy, Margaret, Martinez, Jose R., Opp, Elena N., Huang, Jianyang, Fails, Avery M., Belei, Brennan J., Slocum, Ryan, Astalos, Justin, East, Andrew, Nguyen, Lena P., Pherigo, Callie C, East, Andrew N., Li, David Y., Nelson, Maya LI, Taylor, Nicole, Odbayar, Anand, Rives, Anna Linnea, Mathur, Kabir P., Billingsley, Jacob, Polikoff, Hyden, Driscoll, Michael, Wilson, Orion K., Lahmers, Kyle, Toon, Nathaniel J., Lippincott, Sam, Musgrave, Andrew J., Gregory, Alannah H., Pitsuean-Meier, Sedique, Jesse, Trevor, Smith, Corey, Miles, Ethan J., Kainz, Sabrina J. H. T., Ji, Soo Yeun, Nguyen, Lena, Aryan, Maryam, Dinser, Alexis M., Shortman, Jadon, Bastias, Catalina S, Umbricht, Thomas D, Cage, Breonna, Randolph, Parker, Pollard, Matthew, Simone, Dylan M., Aramians, Andrew, Brecl, Ariana E., Robert, Amanda M., Zenner, Thomas, Saldi, Maxwell, Morales, Gavin, Mendez, Citlali, Syed, Konner, Vogel, Connor Maklain, Cone, Rebecca A., Berhanu, Naomi, Carpenter, Emily, Leoni, Cecilia, Bryan, Samuel, Ramachandra, Nidhi, Shaw, Timothy, Lee, E. C., Monyek, Eli, Wegner, Aidan B., Sharma, Shajesh, Lister, Barrett, White, Jamison R., Willard, John S., Sulaiman, S. A, Blandon, Guillermo, Narayan, Anoothi, Ruger, Ryan, Kelley, Morgan A., Moreno, Angel J., Balcer, Leo M, Ward-Chene, N. R. D., Shelby, Emma, Reagan, Brian D., Marsh, Toni, Sarkar, Sucheta, Kelley, Michael P., Fell, Kevin, Balaji, Sahana, Hildebrand, Annalise K., Shoha, Dominick, Nandu, Kshmya, Tucker, Julia, Cancio, Alejandro R., Wang, Jiawei, Rapaport, Sarah Grace, Maravi, Aimee S., Mayer, Victoria A., Miller, Andrew, Bence, Caden, Koke, Emily, Fauntleroy, John T, Doermer, Timothy, Al-Ghazwi, Adel, Morgan, Remy, Alahmed, Mohammed S., Mathavan, Adam Izz Khan Mohd Reduan, Silvester, H. K., Weiner, Amanda M., Liu, Nianzi, Iovan, Taro, Jensen, Alexander V., AlHarbi, Yazeed A., Jiang, Yufan, Zhang, Jiaqi, Jones, Olivia M., Huang, Chenqi, Reh, Eileen N., Alhamli, Dania, Pettine, Joshua, Zhou, Chongrui, Kriegman, Dylan, Yang, Jianing, Ash, Kevin, Savage, Carl, Kaiser, Emily, Augenstein, Dakota N., Padilla, Jacqueline, Stark, Ethan K., Hansen, Joshua A., Kokes, Thomas, Huynh, Leslie, Sanchez-Sanchez, Gustavo, Jeseritz, Luke A., Carillion, Emma L., Vepa, Aditya V., Khanal, Sapriya, Behr, Braden, Martin, Logan S., McMullan, Jesse J., Zhao, Tianwei, Williams, Abigail K., Alqabani, Emeen, Prinster, Gale H., Horne, Linda, Ruggles-Delgado, Kendall, Otto, Grant, Gomez, Angel R., Nguyen, Leonardo, Brumley, Preston J., Venegas, Nancy Ortiz, Varela, Ilian, Brownlow, Jordi, Cruz, Avril, Leiker, Linzhi, Batra, Jasleen, Hutabarat, Abigail P., Nunes-Valdes, Dario, Jameson, Connor, Naqi, Abdulaziz, Adams, Dante Q., Biediger, Blaine B., Borelli, William T, Cisne, Nicholas A., Collins, Nathaniel A., Curnow, Tyler L., Gopalakrishnan, Sean, Griffin, Nicholas F., Herrera, Emanuel, McGarvey, Meaghan V., Mellett, Sarah, Overchuk, Igor, Shaver, Nathan, Stratmeyer, Cooper N., Vess, Marcus T., Juels, Parker, Alyami, Saleh A., Gale, Skylar, Wallace, Steven P., Hunter, Samuel C, Lonergan, Mia C., Stewart, Trey, Maksimuk, Tiffany E., Lam, Antonia, Tressler, Judah, Napoletano, Elena R., Miller, Joshua B., Roy, Marc G., Chanders, Jasey, Fischer, Emmalee, Croteau, A. J., Kuiper, Nicolas A., Hoffman, Alex, DeBarros, Elyse, Curry, Riley T., Brzostowicz, A., Courtney, Jonas, Zhao, Tiannie, Szabo, Emi, Ghaith, Bandar Abu, Slyne, Colin, Beck, Lily, Quinonez, Oliver, Collins, Sarah, Madonna, Claire A., Morency, Cora, Palizzi, Mallory, Herwig, Tim, Beauprez, Jacob N., Ghiassi, Dorsa, Doran, Caroline R., Yang, Zhanchao, Padgette, Hannah M., Dicken, Cyrus A., Austin, Bryce W., Phalen, Ethan J., Xiao, Catherine, Palos, Adler, Gerhardstein, Phillip, Altenbern, Ava L., Orbidan, Dan, Dorr, Jackson A., Rivas, Guillermo A., Ewing, Calvin A, Giebner, B. C., McEntee, Kelleen, Kite, Emily R., Crocker, K. A., Haley, Mark S., Lezak, Adrienne R., McQuaid, Ella, Jeong, Jacob, Albaum, Jonathan, Hrudka, E. M., Mulcahy, Owen T., Tanguma, Nolan C., Oishi-Holder, Sean, White, Zachary, Coe, Ryan W., Boyer, Christine, Chapman, Mitchell G., Fortino, Elise, Salgado, Jose A., Hellweg, Tim, Martinez, Hazelia K., Mitchell, Alexander J., Schubert, Stephanie H., Schumacher, Grace K, Tesdahl, Corey D, Uphoff, C. H., Vassilyev, Alexandr, Witkoff, Briahn, Wolle, Jackson R., Dice, Kenzie A., Behrer, Timothy A., Bowen, Troy, Campbell, Andrew J, Clarkson, Peter C, Duong, Tien Q., Hawat, Elijah, Lopez, Christian, Olson, Nathaniel P., Osborn, Matthew, Peou, Munisettha E., Vaver, Nicholas J., Husted, Troy, Kallemeyn, Nicolas Ian, Spangler, Ava A, Mccurry, Kyle, Schultze, Courtney, Troisi, Thomas, Thomas, Daniel, Ort, Althea E., Singh, Maya A., Soon, Caitlin, Patton, Catherine, Billman, Jayce A., Jarvis, Sam, Hitt, Travis, Masri, Mirna, Albalushi, Yusef J., Schofer, Matthew J, Linnane, Katherine B., Knott, Philip Whiting, Valencia, Whitney, Arias-Robles, Brian A., Ryder, Diana, Simone, Anna, Abrams, Jonathan M., Belknap, Annelene L., Rouse, Charlotte, Reynolds, Alexander, Petric, Romeo S. L., Gomez, Angel A., Meiselman-Ashen, Jonah B., Carey, Luke, Dias, John S., Fischer-White, Jules, Forbes, Aidan E., Galarraga, Gabriela, Kennedy, Forrest, Lawlor, Rian, Murphy, Maxwell J., Norris, Cooper, Quarderer, Josh, Waller, Caroline, Weber, Robert J., Gunderson, Nicole, Boyne, Tom, Gregory, Joshua A., Propper, Henry Austin, von Peccoz, Charles B. Beck, Branch, Donovan, Clarke, Evelyn, Cutler, Libby, Dabberdt, Frederick M., Das, Swagatam, Figueirinhas, John Alfred D., Fougere, Benjamin L., Roy, Zoe A., Zhao, Noah Y., Cox, Corben L., Barnhart, Logan D. W., Craig, Wilmsen B., Moll, Hayden, Pohle, Kyle, Mueller, Alexander, Smith, Elena K., Spicer, Benjamin C., Aycock, Matthew C., Bat-Ulzii, Batchimeg, Murphy, Madalyn C., Altokhais, Abdullah, Thornally, Noah R., Kleinhaus, Olivia R., Sarfaraz, Darian, Barnes, Grant M., Beard, Sara, Banda, David J, Davis, Emma A. B., Huebsch, Tyler J., Wagoner, Michaela, Griego, Justus, Hale, Jack J. Mc, Porter, Trevor J., Abrashoff, Riley, Phan, Denise M., Smith, Samantha M., Srivastava, Ashish, Schlenker, Jared A. W., Madsen, Kasey O., Hirschmann, Anna E., Rankin, Frederick C, Akbar, Zainab A., Blouin, Ethan, Coleman-Plante, Aislinn, Hintsa, Evan, Lookhoff, Emily, Amer, Hamzi, Deng, Tianyue, Dvorak, Peter, Minimo, Josh, Plummer, William C., Ton, Kelly, Solt, Lincoln, AlAbbas, Batool H., AlAwadhi, Areej A., Cooper, Nicholas M., Corbitt, Jessica S, Dunlap, Christian, Johnson, Owen, Malone, Ryan A., Tellez, Yesica, Wallace, Logan, Ta, Michael-Tan D., Wheeler, Nicola H., Ramirez, Ariana C., Huang, Shancheng, Mehidic, Amar, Christiansen, Katherine E, Desai, Om, Domke, Emerson N., Howell, Noah H., Allsbrook, Martin, Alnaji, Teeb, England, Colin, Siles, Nathan, Burton, Nicholas David, Cruse, Zoe, Gilmartin, Dalton, Kim, Brian T., Hattendorf, Elsie, Buhamad, Maryam, Gayou, Lily, Seglem, Kasper, Alkhezzi, Tameem, Hicks, Imari R., Fife, Ryann, Pelster, Lily M., Fix, Alexander, Sur, Sohan N., Truong, Joshua K., Kubiak, Bartlomiej, Bondar, Matthew, Shi, Kyle Z., Johnston, Julia, Acevedo, Andres B., Lee, Junwon, Solorio, William J., Johnston, Braedon Y., McCormick, Tyler, Olguin, Nicholas, Pastor, Paige J., Wilson, Evan M., Trunko, Benjamin L., Sjoroos, Chris, Adams, Kalvyn N, Bell, Aislyn, Brumage-Heller, Grant, Canales, Braden P., Chiles, Bradyn, Driscoll, Kailer H., Hill, Hallie, Isert, Samuel A., Ketterer, Marilyn, Kim, Matthew M., Mewhirter, William J., Phillips, Lance, Phommatha, Krista, Quinn, Megan S., Reddy, Brooklyn J., Rippel, Matthew, Russell, Bowman, Williams, Sajan, Pixley, Andrew M., Gapin, Keala C., Peterson, B., Ruprecht, Collin, Hardie, Isabelle, Li, Isaac, Erickson, Abbey, Gersabeck, Clint, Gopalani, Mariam, Allanqawi, Nasser, Burton, Taylor, Cahn, Jackson R., Conti, Reese, White, Oliver S., Rojec, Stewart, Hogen, Blake A., Swartz, Jason R., Dick, R., Battist, Lexi, Dunn, Gabrielle M., Gasser, Rachel, Logan, Timothy W., Sinkovic, Madeline, Schaller, Marcus T., Heintz, Danielle A., Enrich, Andrew, Sanchez, Ethan S., Perez, Freddy, Flores, Fernando, Kapla, Shaun D., Shockley, Michael C., Phillips, Justin, Rumley, Madigan, Daboub, Johnston, Karsh, Brennan J., Linders, Bridget, Chen, Sam, Do, Helen C., Avula, Abhinav, French, James M., Bertuccio, Chrisanna, Hand, Tyler, Lee, Adrianna J., Neeland, Brenna K, Salazar, Violeta, Andrew, Carter, Barmore, Abby, Beatty, Thomas, Alonzi, Nicholas, Brown, Ryan, Chandler, Olivia M., Collier, Curran, Current, Hayden, Delasantos, Megan E., Bonilla, Alberto Espinosa de los Monteros, Fowler, Alexandra A., Geneser, Julianne R., Gentry, Eleanor, Gustavsson, E. R., Hansson, Jonathan, Hao, Tony Yunfei, Herrington, Robert N., Kelly, James, Kelly, Teagan, Kennedy, Abigail, Marquez, Mathew J., Meillon, Stella, Palmgren, Madeleine L., Pesce, Anneliese, Ranjan, Anurag, Robertson, Samuel M., Smith, Percy, Smith, Trevor J, Soby, Daniel A., Stratton, Grant L., Thielmann, Quinn N., Toups, Malena C., Veta, Jenna S., Young, Trenton J., Maly, Blake, Manzanares, Xander R., Beijer, Joshua, George, Jacob D., Mills, Dylan P., Ziebold, Josh J, Chambers, Paige, Montoya, Michael, Cheang, Nathan M., Anderson, Hunter J., Duncan, Sheridan J., Ehrlich, Lauren, Hudson, Nathan C., Kiechlin, Jack L., Koch, Will, Lee, Justin, Menassa, Dominic, Oakes, S. H., Petersen, Audrey J., Bunsow, J. R. Ramirez, Bay, Joshua, Ramirez, Sacha, Fenwick, Logan D., Boyle, Aidan P., Hibbard, Lea Pearl, Haubrich, Calder, Sherry, Daniel P., Jenkins, Josh, Furney, Sebastian, Velamala, Anjali A., Krueger, Davis J., Thompson, William N., Chhetri, Jenisha, Lee, Alexis Ying-Shan, Ray, Mia G. V., Recchia, John C., Lengerich, Dylan, Taulman, Kyle, Romero, Andres C., Steward, Ellie N., Russell, Sloan, Hardwick, Dillon F., Wootten, Katelynn, Nguyen, Valerie A., Quispe, Devon, Ragsdale, Cameron, Young, Isabel, Atchley-Rivers, N. S., Stribling, Jordin L., Gentile, Julia G, Boeyink, Taylor A., Kwiatkowski, Daniel, Dupeyron, Tomi Oshima, Crews, Anastasia, Shuttleworth, Mitchell, Dresdner, Danielle C., Flackett, Lydia, Haratsaris, Nicholas, Linger, Morgan I, Misener, Jay H., Patti, Samuel, Pine, Tawanchai P., Marikar, Nasreen, Matessi, Giorgio, Routledge, Allie C., Alkaabi, Suhail, Bartman, Jessica L., Bisacca, Gabrielle E., Busch, Celeste, Edwards, Bree, Staudenmier, Caitlyn, Starling, Travis, McVey, Caden, Montano, Maximus, Contizano, Charles J., Taylor, Eleanor, McIntyre, James K., Victory, Andrew, McCammon, Glen S., Kimlicko, Aspen, Sheldrake, Tucker, Shelchuk, Grace, Von Reich, Ferin J., Hicks, Andrew J., O'neill, Ian, Rossman, Beth, Taylor, Liam C., MacDonald, William, Becker, Simone E., Han, Soonhee, O'Sullivan, Cian, Wilcove, Isaac, Brennan, David J., Hanley, Luke C., Hull, Owen, Wilson, Timothy R., Kalmus, Madison H., Berv, Owen A., Harris, Logan Swous, Doan, Chris H, Londres, Nathan, Parulekar, Anish, Adam, Megan M., Angwin, Abigail, Cabbage, Carter C., Colleran, Zachary, Pietras, Alex, Seux, Octave, Oros, Ryan, Wilkinson, Blake C., Nguyen, Khoa D, Trank-Greene, Maedee, Barone, Kevin M., Snyder, G. L., Biehle, Samuel J, Billig, Brennen, Almquist, Justin Thomas, Dixon, Alyssa M., Erickson, Benjamin, Evans, Nathan, Genne, SL, Kelly, Christopher M, Marcus, Serafima M., Ogle, Caleb, Patel, Akhil, Vendetti, Evan, Courtney, Olivia, Deel, Sean, Del Foco, Leonardo, Gjini, Michael, Haines, Jessica, Hoff, Isabelle J., Jones, M. R., Killian, Dominic, Kuehl, Kirsten, Kuester, Chrisanne, Lantz, Maxwell B., Lee, Christian J, Mauer, Graham, McKemey, Finbar K., Millican, Sarah J., Rosasco, Ryan, Stewart, T. C., VanEtten, Eleanor, Derwin, Zachary, Serio, Lauren, Sickler, Molly G., Blake, Cassidy A., Patel, Neil S., Fox, Margaret, Gray, Michael J, Ziegler, Lucas J., Kumar, Aman Priyadarshi, Polly, Madelyn, Mesgina, Sarah, McMorris, Zane, Griffin, Kyle J., Haile, L. N., Bassel, Claire, Dixon, Thomas J., Beattie, Ryan, Houck, Timothy J, Rodgers, Maeve, Trofino, Tyson R., Lukianow, Dax, Smart, Korben, Hall, Jacqueline L., Bone, Lauren, Baldwin, James O., Doane, Connor, Almohsen, Yousef A., Stamos, Emily, Acha, Iker, Kim, Jake, Samour II, Antonio E., Chavali, S., Kanokthippayakun, Jeerakit, Gotlib, Nicholas, Murphy, Ryan C., Archibald, Jack. W., Brimhall, Alexander J, Boyer, Aidan, Chapman, Logan T., Chadda, Shivank, Sibrell, Lisa, Vallery, Mia M., Conroy, Thomas C., Pan, Luke J., Balajonda, Brian, Fuhrman, Bethany E. S., Alkubaisi, Mohamed, Engelstad, Jacob, Dodrill, Joshua, Fuchs, Calvin R., Bullard-Connor, Gigi, Alhuseini, Isehaq, Zygmunt, James C., Sipowicz, Leo, Hayrynen, Griffin A., McGill, Riley M., Keating, Caden J., Hart, Omer, Cyr, Aidan St., Steinsberger, Christopher H., Thoman, Gerig, Wood, Travis M., Ingram, Julia A., Dominguez, J., Georgiades, Nathaniel James, Johnson, Matthew, Johnson, Sawyer, Pedersen, Alexander J., Ralapanawe, Anoush K, Thomas, Jeffrey J., Sato, Ginn A., Reynolds, Hope, Nasser, Liebe, Mizzi, Alexander Z., Damgaard, Olivia, Baflah, Abdulrahman A., Liu, Steven Y., Salindeho, Adam D., Norden, Kelso, Gearhart, Emily E., Krajnak, Zack, Szeremeta, Philip, Amos, Meggan, Shin, Kyungeun, Muckenthaler, Brandon A., Medialdea, Melissa, Beach, Simone, Wilson, Connor B., Adams, Elena R, Aldhamen, Ahmed, Harris, Coyle M., Hesse, Troy M., Golding, Nathan T., Larter, Zachary, Hernandez, Angel, Morales, Genaro, Traxler, Robert B., Alosaimi, Meshal, Fitton, Aidan F., Aaron, James Holland, Lee, Nathaniel F., Liao, Ryan Z., Chen, Judy, French, Katherine V., Loring, Justin, Colter, Aurora, McConvey, Rowan, Colozzi, Michael, Vann, John D., Scheck, Benjamin T., Weigand, Anthony A, Alhabeeb, Abdulelah, Idoine, Yolande, Woodard, Aiden L., Medellin, Mateo M., Ratajczyk, Nicholas O, Tobin, Darien P., Collins, Jack C., Horning, Thomas M., Pellatz, Nick, Pitten, John, Lordi, Noah, Patterson, Alyx, Hoang, Thi D, Zimmermann, Ingrid H, Wang, Hongda, Steckhahn, Daniel, Aradhya, Arvind J., Oliver, Kristin A., Cai, Yijian, Wang, Chaoran, Yegovtsev, Nikolay, Wu, Mengyu, Ganesan, Koushik, Osborne, Andrew, Wickenden, Evan, Meyer, Josephine C., Chaparro, David, Visal, Aseem, Liu, Haixin, Menon, Thanmay S., Jin, Yan, Wilson, John, Erikson, James W., Luo, Zheng, Shitara, Nanako, Nelson, Emma E, Geerdts, T. R., Ortiz, Jorge L Ramirez, and Lewandowski, H. J.

Subjects
Astrophysics - Solar and Stellar Astrophysics
Abstract

Flare frequency distributions represent a key approach to addressing one of the largest problems in solar and stellar physics: determining the mechanism that counter-intuitively heats coronae to temperatures that are orders of magnitude hotter than the corresponding photospheres. It is widely accepted that the magnetic field is responsible for the heating, but there are two competing mechanisms that could explain it: nanoflares or Alfv\'en waves. To date, neither can be directly observed. Nanoflares are, by definition, extremely small, but their aggregate energy release could represent a substantial heating mechanism, presuming they are sufficiently abundant. One way to test this presumption is via the flare frequency distribution, which describes how often flares of various energies occur. If the slope of the power law fitting the flare frequency distribution is above a critical threshold, $\alpha=2$ as established in prior literature, then there should be a sufficient abundance of nanoflares to explain coronal heating. We performed $>$600 case studies of solar flares, made possible by an unprecedented number of data analysts via three semesters of an undergraduate physics laboratory course. This allowed us to include two crucial, but nontrivial, analysis methods: pre-flare baseline subtraction and computation of the flare energy, which requires determining flare start and stop times. We aggregated the results of these analyses into a statistical study to determine that $\alpha = 1.63 \pm 0.03$. This is below the critical threshold, suggesting that Alfv\'en waves are an important driver of coronal heating., Comment: 1,002 authors, 14 pages, 4 figures, 3 tables, published by The Astrophysical Journal on 2023-05-09, volume 948, page 71

Published
2023
Full Text
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14. Deep Learning from Parametrically Generated Virtual Buildings for Real-World Object Recognition

Author

Alawadhi, Mohammad and Yan, Wei

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

We study the use of parametric building information modeling (BIM) to automatically generate training data for artificial neural networks (ANNs) to recognize building objects in photos. Teaching artificial intelligence (AI) machines to detect building objects in images is the foundation toward AI-assisted semantic 3D reconstruction of existing buildings. However, there exists the challenge of acquiring training data which is typically human-annotated, that is, unless a computer machine can generate high-quality data to train itself for a certain task. In that vein, we trained ANNs solely on realistic computer-generated images of 3D BIM models which were parametrically and automatically generated using the BIMGenE program. The ANN training result demonstrated generalizability and good semantic segmentation on a test case as well as arbitrary photos of buildings that are outside the range of the training data, which is significant for the future of training AI with generated data for solving real-world architectural problems.

Published
2023

15. MOGAD and NMOSD: insights on patients’ radiological and laboratory findings from a single UAE center

Author

Hamdan Alzarooni, Jihad Inshasi, Ahmad Alawadhi, and Paul Giacomini

Subjects
neuromyelitis optica spectrum disorder (NMOSD), MOGAD, MOG-IgG, United Arab Emirates (UAE), multiple sclerois and neuroimmunology, Dubai, Neurology. Diseases of the nervous system, RC346-429
Abstract

IntroductionAlthough neuromyelitis optica spectrum disorders (NMOSD) and myelin oligodendrocyte glycoprotein antibody disease (MOGAD) are rare diseases, they pose a significant burden on both society and the healthcare system. This study aims to discuss the demographics and patient characteristics of these diseases in a single center in the United Arab Emirates (UAE).MethodsThis is a retrospective, descriptive study that included patients with either NMOSD or MOGAD treated at Rashid Hospital, UAE during the period between January 2019 and January 2024. Patients were selected and categorized according to NMOSD criteria, aquaporin-4 antibodies, and MOG antibodies. Patient demographics, clinical characteristics, and medical history were retrieved from their medical records and descriptively analyzed in the light of patients’ serological data.ResultsWe identified 34 patients with non-multiple sclerosis atypical CNS inflammatory/demyelinating syndromes. Twenty-seven patients (79.4%) fulfilled the criteria for NMOSD, while seven (20.6%) tested positive for MOG antibodies, fulfilling the criteria for MOGAD. In the NMOSD cohort, 19% (n = 5) were AQP4-antibody negative. Seventy-four percent of the NMOSD cohort and 43% of the MOGAD cohort were female. For MOGAD patients, disease onset was at a younger age (median onset age of 25 years) compared to the overall study population (mean onset age of 28.94 years). Long segment transverse myelitis was only detected in NMOSD patients (33.3%), and brainstem syndrome with area postrema syndrome was more common in the MOGAD cohort (29% vs. 4%). The rate of positive response to intravenous methylprednisolone as initial therapy was comparable across both cohorts (74% in case of NMOSD and 71% in case of MOGAD).ConclusionThis study provides valuable insights into the status of NMOSD and MOGAD in the UAE, highlighting the need for larger, prospective studies to further characterize these diseases in the local population, as well as the need for improved understanding of the epidemiology and management of these rare but debilitating conditions.

Published
2024
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16. Global multi-societies endorsement of the MAFLD definition

Author

Mohamed Alboraie, Tawesak Tanwandee, Xiaoyuan Xu, Dafina Nikolova, Enrique Carrera Estupiñan, Hasmik Ghazinyan, Sameer Alawadhi, Ponsiano Ocama, Gulnara Aghayeva, Alejandro Piscoya, Taghreed Farahat, Pramendra Prasad, Cosmas Rinaldi Adithya Lesmana, Shashank R Joshi, Said Al-Busafi, Vladimir Milivojevic, Violet Kayamba, Yeong Yeh Lee, Shahinul Alam, Chengwei Tang, Wei-Fen Xie, Moutaz Derbala, Yuemin Nan, Dennis Ndububa, Hongting Zheng, Jiajun Zhao, Nawal Alkhalidi, Yahya Ghanem, Phunchai Charatcharoenwitthaya, Mamun Mahtab, Nagwa N. Hegazy, Edford Sinkala, Cecil Kwaku Dovia, Moussa Ali Mahamat, Mortada El-Shabrawi, Dao Viet Hang, Shlomo Vinker, Bilal Hotayt, Mohammed Tahiri, Pavel Bogomolov, Nawal Afredj, Inass Shaltout, Reda Elwakil, Abd Elkhalek Hamed, Lubna Kamani, Maheeba Abdulla, Constant Assi, Oidov Baatarkhuu, Munira Al Tarrah, Yousef Ajlouni, Bounena Abidine, Christopher Muñoz, Mohammad Ali, Emad Salama, Abdelaziz Elamin, Iqbal Ahmad Memon, Aram Mirijanyan, Sajjad Jamil, Alexander V. Nersesov, Nseabasi Ekanem, Waseem Hamoudi, Bisi Bright, Teresa Casanovas, Ewaoche Itodo, Esther A Torres, Maja Karin, Enver Zerem, Svetlana Turcan, Audrius Dulskas, Iulianna Lupasco, Alina Jucov, Christian Tzeuton, Roger Sombie, Kateryna Lapshyna, Andrriy Dorofeyev, Yaw A Awuku, Hilal Ünalmış Duda, Rijimra Ande, Nehal El Koofy, Naglaa Kamal, Ziyan Pan, Angela Peltec, Liang Qiao, Andry Lalaina Rinà Rakotozafindrabe, Ahmed Salama, Reham Soliman, Badre Wafaa, Marinela Debu, Eileen A Micah, Gamal Shiha, Mohammed Eslam, and Yasser Fouad

Subjects
Specialties of internal medicine, RC581-951
Published
2024
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17. Source apportionment of PM2.5 and PM10 pollutants near an urban roadside site using positive matrix factorization

Author

Shahid Anwar, Mohamed Shameer, Hussain Alawadhi, and Nasser M Hamdan

Subjects
Particulate matter, PM2.5, PM10, Source apportionment, PMF, Backward trajectory, Environmental sciences, GE1-350
Abstract

This paper presents results from a comprehensive study of source apportionment of particulate matter (PM) of size PM2.5 and PM10 near a busy highway in Sharjah, United Arab Emirates. Source apportionment was carried out using US Environmental Protection Agency (EPA) Positive Matrix Factorization model. Furthermore, backward trajectory analysis and Potential Source Contribution Function were used to assess air mass transport pathways and identify potential source regions, respectively. The results revealed six major sources for PM2.5, including traffic, sea salt, fugitive dust, secondary aerosols, heavy oil combustion and mineral dust. For PM10, four major sources were identified, including secondary aerosols, traffic, sea salt and mineral dust. Traffic emissions were found to be significant contributors to both PM2.5 and PM10 pollution, along with natural sources like sea salt and mineral dust. Backward trajectory analysis indicated the influence of different wind regimes on air mass transport, with contributions from regions like Arabian Gulf, Arabian Sea, Oman and Iran. The Conditional Bivariate Probability Function analysis further explained the impact of local traffic emissions and other sources on PM pollution under varying wind conditions.

Published
2024
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18. Machine learning-based remission prediction in rheumatoid arthritis patients treated with biologic disease-modifying anti-rheumatic drugs: findings from the Kuwait rheumatic disease registry

Author

Ahmad R. Alsaber, Adeeba Al-Herz, Balqees Alawadhi, Iyad Abu Doush, Parul Setiya, Ahmad T. AL-Sultan, Khulood Saleh, Adel Al-Awadhi, Eman Hasan, Waleed Al-Kandari, Khalid Mokaddem, Aqeel A. Ghanem, Yousef Attia, Mohammed Hussain, Naser AlHadhood, Yaser Ali, Hoda Tarakmeh, Ghaydaa Aldabie, Amjad AlKadi, and Hebah Alhajeri

Subjects
rheumatoid arthritis, bDMARDs, machine learning, explainable artificial intelligence, KRRD, Information technology, T58.5-58.64
Abstract

BackgroundRheumatoid arthritis (RA) is a common condition treated with biological disease-modifying anti-rheumatic medicines (bDMARDs). However, many patients exhibit resistance, necessitating the use of machine learning models to predict remissions in patients treated with bDMARDs, thereby reducing healthcare costs and minimizing negative effects.ObjectiveThe study aims to develop machine learning models using data from the Kuwait Registry for Rheumatic Diseases (KRRD) to identify clinical characteristics predictive of remission in RA patients treated with biologics.MethodsThe study collected follow-up data from 1,968 patients treated with bDMARDs from four public hospitals in Kuwait from 2013 to 2022. Machine learning techniques like lasso, ridge, support vector machine, random forest, XGBoost, and Shapley additive explanation were used to predict remission at a 1-year follow-up.ResultsThe study used the Shapley plot in explainable Artificial Intelligence (XAI) to analyze the effects of predictors on remission prognosis across different types of bDMARDs. Top clinical features were identified for patients treated with bDMARDs, each associated with specific mean SHAP values. The findings highlight the importance of clinical assessments and specific treatments in shaping treatment outcomes.ConclusionThe proposed machine learning model system effectively identifies clinical features predicting remission in bDMARDs, potentially improving treatment efficacy in rheumatoid arthritis patients.

Published
2024
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19. Unleashing Potential: Analysis of the Transformative Impact of Bahrain Polytechnic’s Purpose-Driven Marketing Program on Student Empowerment and Economic Viability Through Entrepreneurial Ventures: A Case of 'All I Have'

Author

Mitchell, Tijjay, Zaidan, Amir, Buhasan, Amina, Al Zayani, Zalal, Alawadhi, Yahya, Alhalwachi, Layla, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Hamdan, Allam, editor, and Harraf, Arezou, editor

Published
2024
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20. A Case Study Exploring ESL Instructors’ Perspectives of Blended Learning in UAE Higher Education

Author

Alawadhi, Azza, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Al Marri, Khalid, editor, Mir, Farzana Asad, editor, David, Solomon Arulraj, editor, and Al-Emran, Mostafa, editor

Published
2024
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21. Exploring environmental sustainability in dentistry among students and educators in the United Arab Emirates: a cross-sectional survey

Author

Mohannad Nassar, Wed Shalan, Uesser Al-Janaby, Hagar Elnagar, Maryam Alawadhi, Sara Jaser, and Easter Joury

Subjects
Environmental sustainability, Dentistry, Students, Faculty, Educators, Curriculum, Special aspects of education, LC8-6691, Medicine
Abstract

Abstract Objectives Creating environmentally sustainable healthcare culture within the dental field requires embedding the content in the dental curriculum at the undergraduate level. This study aimed to explore the current awareness and drivers among dental students and educators regarding environmentally sustainable dentistry (ESD) in the United Arab Emirates (UAE) and identify barriers and enablers to embrace it. Methods A cross-sectional survey using online questionnaires was carried out in six undergraduate dental education institutes within the UAE. Data analysis included descriptive statistics. Results In total 153 students and 53 educators participated in the survey. Most students and educators were not aware of any ESD content in their curricula. However, the majority of educators were familiar with the concept of ESD, while students were mostly unfamiliar or slightly familiar. Nonetheless, students largely agreed on its importance and their interest in learning it, as they viewed it relevant to their future practice. Educators agreed that the dental profession has a responsibility to be environmentally friendly and expressed their desire in introducing ESD content into the curricula. Several barriers were reported such as lack of knowledge, curricula space, educational resources, and time. Meanwhile, enablers included providing ESD capacity building, training and resources. Conclusions There was no explicit presence of ESD content in the dental curricula in the UAE. Despite the lack of adequate awareness on this topic among educators and more so among students, they both had positive views towards incorporating ESD into dental curricula. Overall, this study highlighted the importance of promoting ESD in dental programs. Clinical significance: ESD is gradually becoming a critical aspect of modern oral healthcare system. It has been mandated in the dental curricula in several regions globally. Embedding ESD in the UAE dental curricula would have several benefits for the environment as well as the future of the dental profession in the region. The clinical significance includes, but not limited to, improved treatment outcomes; patients, students and staff health and well-being; reduced health risks, and cost savings.

Published
2024
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26. Impact of Hemoglobin Levels on Composite Cardiac Arrest or Stroke Outcome in Patients With Respiratory Failure Due to COVID-19

Author

Shi Nan Feng, BSPH, Thu-Lan Kelly, PhD, John F. Fraser, MD, PhD, Gianluigi Li Bassi, MD, PhD, Jacky Suen, PhD, Akram Zaaqoq, MD, MPH, Matthew J. Griffee, MD, Rakesh C. Arora, MD, Nicole White, PhD, Glenn Whitman, MD, Chiara Robba, MD, PhD, Denise Battaglini, MD, PhD, Sung-Min Cho, DO, MHS, on behalf of COVID-19 Critical Care Consortium (CCCC), Robert Bartlett, John F. Fraser, Gianluigi Li Bassi, Jacky Y. Suen, Heidi J. Dalton, John Laffey, Daniel Brodie, Eddy Fan, Antoni Torres, Davide Chiumello, Alyaa Elhazm, Carol Hodgson, Shingo Ichiba, Carlos Luna, Srinivas Murthy, Alistair Nichol, Pauline Yeung Ng, Mark Ogino, Aidan Burrell, Antonio Pesenti, Tala Al-Dabbous, Huda Alfoudri, Mohammed Shamsah, Subbarao Elapavaluru, Ashley Berg, Christina Horn, Yunis Mayasi, Stephan Schroll, Dan Meyer, Jorge Velazco, Ludmyla Ploskanych, Wanda Fikes, Rohini Bagewadi, Marvin Dao, Haley White, Alondra Berrios Laviena, Ashley Ehlers Maysoon, Shalabi-McGuire, Trent Witt, Lorenzo Grazioli, Luca Lorini, E. Wilson Grandin, Jose Nunez, Tiago Reyes, Diarmuid O’Briain, Stephanie Hunter, Mahesh Ramanan, Julia Affleck, Hemanth Hurkadli Veerendra, Sumeet Rai, Josie Russell-Brown, Mary Nourse, Mark Joseph, Brook Mitchell, Martha Tenzer, Ryuzo Abe, Hwa Jin Cho, In Seok Jeong, Nadeem Rahman, Vivek Kakar, Andres Oswaldo Razo Vazquez, Nicolas Brozzi, Omar Mehkri, Sudhir Krishnan Abhijit, Duggal Stuart Houltham, Jerónimo Graf, Roderigo Diaz, Roderigo Orrego, Camila Delgado, Joyce González, Maria Soledad Sanchez, Michael Piagnerelli, Josefa Valenzuela Sarrazin, A/Prof. Gustavo Zabert, Lucio Espinosa, Paulo Delgado, Victoria Delgado, Diego Fernando, Bautista Rincón, Angela Maria Marulanda Yanten, Melissa Bustamante Duque, Alyaa Elhazmi, Abdullah Al-Hudaib, Maria Callahan, M. Azhari Taufik, Elizabeth Yasmin Wardoyo, Margaretha Gunawan, Nurindah S Trisnaningrum, Vera Irawany, Muhammad Rayhan, Mauro Panigada, Alberto Zanella, Giacomo Grasselli, Sebastiano Colombo, Chiara Martinet, Gaetano Florio, Massimo Antonelli, Simone Carelli, Domenico L. Grieco, Motohiro Asaki, Kota Hoshino, Leonardo Salazar, Mary Alejandra Mendoza Monsalve, Bairbre McNicholas, David Cosgrave, Joseph McCaffrey, Allison Bone, Yusuff Hakeem, James Winearls, Mandy Tallott, David Thomson, Christel Arnold-Day, Jerome Cupido, Zainap Fanie, Malcom Miller, Lisa Seymore, Dawid van Straaten, Ali Ait Hssain, Jeffrey Aliudin, Al-Reem Alqahtani, Khoulod Mohamed, Ahmed Mohamed, Darwin Tan, Joy Villanueva, Ahmed Zaqout, Ethan Kurtzman, Arben Ademi, Ana Dobrita, Khadija El Aoudi, Juliet Segura, Gezy Giwangkancana, Shinichiro Ohshimo, Javier Osatnik, Anne Joosten, Minlan Yang, Ana Motos, Francisco Arancibia, Virginie Williams, Alexandre Noel, Nestor Luque, Marina Fantini, Ruth Noemi Jorge García, Enrique Chicote Alvarez, Anna Greti, Adrian Ceccato, Angel Sanchez, Ana Loza Vazquez, Ferran Roche-Campo, Diego Franch-Llasat, Divina Tuazon, Marcelo Amato, Luciana Cassimiro, Flavio Pola, Francis Ribeiro, Guilherme Fonseca, Heidi Dalton, Mehul Desai, Erik Osborn Hala Deeb, Antonio Arcadipane, Gennaro Martucci, Giovanna Panarello, Chiara Vitiello, Claudia Bianco, Giovanna Occhipinti, Matteo Rossetti, Raffaele Cuffaro, Sung-Min Cho, Glenn Whitman, Hiroaki Shimizu, Naoki Moriyama, Jae-Burm Kim, Nobuya Kitamura, Johannes Gebauer, Toshiki Yokoyama, Abdulrahman Al-Fares, Sarah Buabbas, Esam Alamad, Fatma Alawadhi, Kalthoum Alawadi, Hiro Tanaka, Satoru Hashimoto, Masaki Yamazaki, Tak-Hyuck Oh, Mark Epler, Cathleen Forney, Louise Kruse, Jared Feister, Joelle Williamson, Katherine Grobengieser, Eric Gnall, Sasha Golden, Mara Caroline, Timothy Shapiro, Colleen Karaj, Lisa Thome, Lynn Sher, Mark Vanderland, Mary Welch, Sherry McDermott, Matthew Brain, Sarah Mineall, Dai Kimura, Luca Brazzi, Gabriele Sales, Giorgia Montrucchio, Tawnya Ogston, Dave Nagpal, Karlee Fischer, Roberto Lorusso, Rajavardhan Rangappa, Sujin Rai, Argin Appu, Mariano Esperatti, Nora Angélica Fuentes, Maria Eugenia Gonzalez, Edmund G. Carton, Ayan Sen, Amanda Palacios, Deborah Rainey, Gordan Samoukoviv, Josie Campisi, Lucia Durham, Emily Neumann, Cassandra Seefeldt, Octavio Falcucci, Amanda Emmrich, Jennifer Guy, Carling Johns, Kelly Potzner, Catherine Zimmermann, Angelia Espinal, Nina Buchtele, Michael Schwameis, Andrea Korhnfehl, Roman Brock, Thomas Staudinger, Stephanie-Susanne, Stecher Michaela Barnikel, Sófia Antón, Alexandra Pawlikowski, Akram Zaaqoq, Lan Anh Galloway, Caitlin Merley, Marc Csete, Luisa Quesada, Isabela Saba, Daisuke Kasugai, Hiroaki Hiraiwa, Taku Tanaka, Eva Marwali, Yoel Purnama, Santi Rahayu Dewayanti, Ardiyan, Dafsah Arifa Juzar, Debby Siagian, Yih-Sharng Chen, Indrek Ratsep, Andra-Maris Post, Piret Sillaots, Anneli Krund, Merili-Helen Lehiste, Tanel Lepik, Frank Manetta, Effe Mihelis, Iam Claire Sarmiento, Mangala Narasimhan, Michael Varrone, Mamoru Komats, Julia Garcia-Diaz, Catherine Harmon, S. Veena Satyapriya, Amar Bhatt, Nahush A. Mokadam, Alberto Uribe, Alicia Gonzalez, Haixia Shi, Johnny McKeown, Joshua Pasek, Juan Fiorda, Marco Echeverria, Rita Moreno, Bishoy Zakhary, Marco Cavana, Alberto Cucino, Giuseppe Foti, Marco Giani, Benedetta Fumagalli, Valentina Castagna, Andrea Dell’Amore, Paolo Navalesi, Hoi-Ping Shum, Alain Vuysteke, Asad Usman, Andrew Acker, Benjamin Smood, Blake Mergler, Federico Sertic, Madhu Subramanian, Alexandra Sperry, Nicolas Rizer, Erlina Burhan, Menaldi Rasmin, Ernita Akmal, Faya Sitompul, Navy Lolong, Bhat Naivedh, Simon Erickson, Peter Barrett, David Dean, Julia Daugherty, Antonio Loforte, Irfan Khan, Mohammed Abraar Quraishi, Olivia DeSantis, Dominic So, Darshana Kandamby, Jose M. Mandei, Hans Natanael, Eka YudhaLantang, Anastasia Lantang, Surya Oto Wijaya, Anna Jung, George Ng, Wing Yiu Ng, Shu Fang, Alexis Tabah, Megan Ratcliffe, Maree Duroux, Shingo Adachi, Shota Nakao, Pablo Blanco, Ana Prieto, Jesús Sánchez, Meghan Nicholson, Warwick Butt, Alyssa Serratore, Carmel Delzoppo, Pierre Janin, Elizabeth Yarad, Richard Totaro, Jennifer Coles, Bambang Pujo, Robert Balk, Andy Vissing, Esha Kapania, James Hays, Samuel Fox, Garrett Yantosh, Pavel Mishin, Saptadi Yuliarto, Kohar Hari Santoso, Susanthy Djajalaksana, Arie Zainul Fatoni, Masahiro Fukuda, Keibun Liu, Paolo Pelosi, Denise Battaglini, Juan Fernando Masa Jiménez, Diego Bastos, Sérgio Gaião, Desy Rusmawatiningtyas, Young-Jae Cho, Su Hwan Lee, Tatsuya Kawasaki, Laveena Munshi, Pranya Sakiyalak, Prompak Nitayavardhana, Tamara Seitz, Rakesh Arora, David Kent, Daniel Marino, Swapnil Parwar, Andrew Cheng, Jennene Miller, Shigeki Fujitani, Naoki Shimizu, Jai Madhok, Clark Owyang, Hergen Buscher, Claire Reynolds, Olavi Maasikas, Aleksan Beljantsev, Vladislav Mihnovits, Takako Akimoto, Mariko Aizawa, Kanako Horibe, Ryota Onodera, Meredith Young, Timothy George, Kiran Shekar, Niki McGuinness, Lacey Irvine, Brigid Flynn, Tomoyuki Endo, Kazuhiro Sugiyama, Keiki Shimizu, Kathleen Exconde, Leslie Lussier, Gösta Lotz, Maximilian Malfertheiner, Lars Maier, Esther Dreier, Neurinda Permata Kusumastuti, Colin McCloskey, Al-Awwab Dabaliz, Tarek B Elshazly, Josiah Smith, Konstanty S. Szuldrzynski, Piotr Bielański, Keith Wille, Ken Kuljit, S. Parhar, Kirsten M. Fiest, Cassidy Codan, Anmol Shahid, Mohamed Fayed, Timothy Evans, Rebekah Garcia, Ashley Gutierrez, Tae Song, Rebecca Rose, Suzanne Bennett, Denise Richardson, Giles Peek, Lovkesh Arora, Kristina Rappapport, Kristina Rudolph, Zita Sibenaller, Lori Stout, Alicia Walter, Daniel Herr, Nazli Vedadi, Shaun Thompson, Julie Hoffman, Xiaonan Ying, Ryan Kennedy, Muhammed Elhadi, Matthew Griffee, Anna Ciullo, Yuri Kida, Ricard Ferrer Roca, JordI Riera, Sofia Contreras, Cynthia Alegre, Christy Kay, Irene Fischer, Elizabeth Renner, Hayato Taniguci, John Fraser, Jacky Suen, Adrian Barnett, Nicole White, Kristen Gibbons, Simon Forsyth, Amanda Corley, India Pearse, Samuel Hinton, Gabriella Abbate, Halah Hassan, Silver Heinsar, Varun A Karnik, Katrina Ki, Hollier F. O’Neill, Nchafatso Obonyo, Leticia Pretti Pimenta, Janice D. Reid, Kei Sato, Aapeli Vuorinen, Karin S. Wildi, Emily S. Wilson, Stephanie Yerkovich, James Lee, Daniel Plotkin, Barbara Wanjiru Citarella, Laura Merson, Emma Hartley, Bastian Lubis, Takanari Ikeyama, Balu Bhaskar, Jae-Seung Jung, Shay McGuinness, Glenn Eastwood, Sandra Rossi Marta, Fabio Guarracino, Stacy Gerle, Emily Coxon, Bruno Claro, Daniel Loverde, Namrata Patil, Vieri Parrini, Angela McBride, Kathryn Negaard, Angela Ratsch, Ahmad Abdelaziz, Juan David Uribe, Adriano Peris, Mark Sanders, Dominic Emerson, Muhammad Kamal, Pedro Povoa, Roland Francis, Ali Cherif, Sunimol Joseph, Matteo Di Nardo, Micheal Heard, Kimberly Kyle, Ray A Blackwell, Patrick Biston, Hye Won Jeong, Reanna Smith, Yogi Prawira, Arturo Huerta Garcia, Nahikari Salterain, Bart Meyns, Marsha Moreno, Rajat Walia, Amit Mehta, Annette Schweda, Moh Supriatna, Cenk Kirakli, Melissa Williams, Kyung Hoon Kim, Alexandra Assad, Estefania Giraldo, Wojtek Karolak, Martin Balik, Elizabeth Pocock, Evan Gajkowski, Kanamoto Masafumi, Nicholas Barrett, Yoshihiro Takeyama, Sunghoon Park, Faizan Amin, Fina Meilyana Andriyani, Serhii Sudakevych, Magdalena Vera, Rodrigo Cornejo, Patrícia Schwarz, Ana Carolina Mardini, Thais de Paula, Ary Serpa Neto, Andrea Villoldo, Alexandre Siciliano Colafranceschi, Alejandro Ubeda Iglesias, Juan Granjean, Lívia Maria Garcia Melro, Giovana Fioravante Romualdo, Diego Gaia, Helmgton Souza, Filomena Galas, Rafael Máñez Mendiluce, Alejandra Sosa, Ignacio Martinez, Hiroshi Kurosawa, Juan Salgado, Beate Hugi-Mayr, Eric Charbonneau, Vitor Salvatore Barzilai, Veronica Monteiro, Rodrigo Ribeiro de Souza, Michael Harper, Hiroyuki Suzuki, Celina Adams, Jorge Brieva, George Nyale, Faisal Saleem Eltatar, Jihan Fatani, Husam Baeissa, Ayman AL Masri, Ahmed Rabie, Mok Yee Hui, Masahiro Yamane, Hanna Jung, Ayorinde Mojisola Margaret, Newell Nacpil, Katja Ruck, Rhonda Bakken, Claire Jara, Tim Felton, Lorenzo Berra, Bobby Shah, Arpan Chakraborty, Monika Cardona, Gerry Capatos, Bindu Akkanti, Abiodun Orija, Harsh Jain, Asami Ito, Brahim Housni, Sennen Low, Koji Iihara, Joselito Chavez, Kollengode Ramanathan, Gustavo Zabert, Krubin Naidoo, Ian Seppelt, Marlice VanDyk, Sarah MacDonald, Randy McGregor, Teka Siebenaler, Hannah Flynn, Kristi Lofton, Toshiyuki Aokage, Kazuaki Shigemitsu, Andrea Moscatelli, Giuseppe Fiorentino, Matthias Baumgaertel, Serge Eddy Mba, Jana Assy, Amelya Hutahaean, Holly Roush, Kay A Sichting, Francesco Alessandri, Debra Burns, Gavin Salt, Carl P. Garabedian, Jonathan Millar, Malcolm Sim, Adrian Mattke, Danny McAuley, Jawad Tadili, Tim Frenzel, Yaron Bar-Lavie, Aaron Blandino Ortiz, Jackie Stone, Antony Attokaran, Michael Farquharson, Brij Patel, Derek Gunning, Kenneth Baillie, Pia Watson, Kenji Tamai, Gede Ketut Sajinadiyasa, Dyah Kanyawati, Marcello Salgado, Assad Sassine, Bhirowo Yudo, Scott McCaul, Bongjin Lee, Sang Min Lee, Arnon Afek, Yoshiaki Iwashita, Bambang Pujo Semedi, Jack Metiva, Nicole Van Belle, Ignacio Martin-Loeches, Lenny Ivatt, Chia Yew Woon, Hyun Mi Kang, Timothy Smith, Erskine James, Nawar Al-Rawas, Yudai Iwasaki, Kenny Chan King-Chung, Vadim Gudzenko, Fabio Taccone, Fajar Perdhana, Yoan Lamarche, Joao Miguel Ribeiro, Nikola Bradic, Klaartje Van den Bossche, Oude Lansink, Gurmeet Singh, Gerdy Debeuckelaere, Henry T. Stelfox, Cassia Yi, Jennifer Elia, Thomas Tribble, Shyam Shankar, Raj Padmanabhan, Bill Hallinan, Luca Paoletti, Yolanda Leyva, Tatuma Fykuda, Jenelle Badulak, Jillian Koch, Amy Hackman, Lisa Janowaik, Deb Hernandez, Jennifer Osofsky, Katia Donadello, Aizah Lawang, Josh Fine, and Benjamin Davidson

Subjects
Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9
Abstract

OBJECTIVES:. Anemia has been associated with an increased risk of both cardiac arrest and stroke, frequent complications of COVID-19. The effect of hemoglobin level at ICU admission on a composite outcome of cardiac arrest or stroke in an international cohort of COVID-19 patients was investigated. DESIGN:. Retrospective analysis of prospectively collected database. SETTING:. A registry of COVID-19 patients admitted to ICUs at over 370 international sites was reviewed for patients diagnosed with cardiac arrest or stroke up to 30 days after ICU admission. Anemia was defined as: normal (hemoglobin ≥ 12.0 g/dL for women, ≥ 13.5 g/dL for men), mild (hemoglobin 10.0–11.9 g/dL for women, 10.0–13.4 g/dL for men), moderate (hemoglobin ≥ 8.0 and < 10.0 g/dL for women and men), and severe (hemoglobin < 8.0 g/dL for women and men). PATIENTS:. Patients older than 18 years with acute COVID-19 infection in the ICU. INTERVENTIONS:. None. MEASUREMENTS AND MAIN RESULTS:. Of 6926 patients (median age = 59 yr, male = 65%), 760 patients (11.0%) experienced stroke (2.0%) and/or cardiac arrest (9.4%). Cardiac arrest or stroke was more common in patients with low hemoglobin, occurring in 12.8% of patients with normal hemoglobin, 13.3% of patients with mild anemia, and 16.7% of patients with moderate/severe anemia. Time to stroke or cardiac arrest by anemia status was analyzed using Cox proportional hazards regression with death as a competing risk. Covariates selected through clinical knowledge were age, sex, comorbidities (diabetes, hypertension, obesity, and cardiac or neurologic conditions), pandemic era, country income, mechanical ventilation, and extracorporeal membrane oxygenation. Moderate/severe anemia was associated with a higher risk of cardiac arrest or stroke (hazard ratio, 1.32; 95% CI, 1.05–1.67). CONCLUSIONS:. In an international registry of ICU patients with COVID-19, moderate/severe anemia was associated with increased hazard of cardiac arrest or stroke.

Published
2024
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27. Evaluating the efficacy of computer games-based learning intervention in enhancing English speaking proficiency

Author

Omar Al-Jamili, Musharraf Aziz, Fathey Mohammed, Abdullah Almogahed, and Abdulwadood Alawadhi

Subjects
Action research, Computer game-based learning, English speaking proficiency, English conversation practice game, Gamification in education, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

The use of learning games in education, particularly for second language (L2) acquisition, has gained significant traction recently, establishing game-based learning as a notable academic discipline. This study examines how computer game-based learning influences ESL undergraduates’ speaking abilities, comparing traditional teaching methods with game-based teaching techniques. The study employed action research utilizing a control-experimental groups technique with a sample of 60 learners. Data were collected through observation sessions, interviews, as well as pre-tests and post-tests on English speaking skills. Upon comparing the scores of the control and experimental groups, the experimental group showed greater improvement in speaking skills. This study provides significant insights into the area of game-based learning using computers, particularly among international students in ESL contexts.

Published
2024
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30. Stroke in critically ill patients with respiratory failure due to COVID-19: Disparities between low-middle and high-income countries

Author

Al-Dabbous, Tala, Alfoudri, Huda, Shamsah, Mohammed, Alfroukh, Khadeejeh, Bairmani, Zinah Aqeel Abdulzahra, Khalid, Khalid Jehad, Abukhalaf, Salsabeel M.A., Hadhoud, Mohammed Maher, Abdrabo, Mohamed Fouad, Fathi, Mohamed, Alhouri, Hasan, Shahla, Dr Hamza, Alhadad, Qamrah, Hanan, Matly, Elapavaluru, Subbarao, Berg, Ashley, Horn, Christina, Abdelhalim, Ahmed Reda Mohamed Elsayed, Amer, Amro Essam, Elnaggar, Cinderella Omar Rageh, Hassan, Ahmed Ayman, Abdelaziz, Ali, Abdelhalim, Mohamed, Orabi, Yehia Samir Shaaban Aly, Alaraji, Zinah A., Muhaisen, Mo'nes R., Almasri, Lana, Mustafa, Dana, Hamdan, Shaher, Al-Saba'a, Yousef, Dalloul, Zaina, Alkahlout, Mohammed, Jaber, Hamza, Aldabbourosama, Osama, Abdalhadi, Alaa Abdalfattah, Hussein, Aliae AR Mohamed, Emad, Zarief Kamel, Khaled, Sarah, Mohamed, Nouralsabah, Hassanin, Ebtisam, Hamdi, Abdelhafeez, Gamal, May, Emad, Ahmed, Ragab, Abdelrahman, Azizeldin, Mohammed G, Hamza, Almthani, Omer, Alsarrah Ali Mohammed, Fadl alla, Asgad Osman Abdalla, Abdallahrs, Asia Atif Abdelrahman, Eltayeb, Aml Ahmed, Alhasan, Maali khalid mohamed abdalla, Abdelgaum, Esraa Hassan, Ahmed, Aya Mustafa, Abdulbaqi, Lamees Adil, Mohammedelhassan, Omer Abdullah, Ahmed, Musaab Mohammed Mohammed, Ali, Maha TagElser Mohammed, Mayasi, Yunis, Schroll, Stephan, Meyer, Dan, Velazco, Jorge, Ploskanych, Ludmyla, Fikes, Wanda, Bagewadi, Rohini, Dao, Marvin, White, Haley, Laviena, Alondra Berrios, Ehlers, Ashley, Shalabi-McGuire, Maysoon, Witt, Trent, Grazioli, Lorenzo, Lorini, Luca, Grandin, E. Wilson, Nunez, Jose, Reyes, Tiago, O'Briain, Diarmuid, Hunter, Stephanie, Ramanan, Mahesh, Affleck, Julia, Veerendra, Hemanth Hurkadli, Rai, Sumeet, Russell-Brown, Josie, Nourse, Mary, Joseph, Mark, Mitchell, Brook, Tenzer, Martha, Abe, Ryuzo, Cho, Hwa Jin, Jeong, In Seok, Rahman, Nadeem, Kakar, Vivek, Tamimi, Ahmed, Zabalawi, Diala, Elhennawi, Mohamed, Ghisulal, Praveen, Malik, Sadaf, Brozzi, Nicolas, Mehkri, Omar, Krishnan, Sudhir, Duggal, Abhijit, Houltham, Stuart, Graf, Jerónimo, Diaz, Roderigo, Orrego, Roderigo, Delgado, Camila, González, Joyce, Sanchez, Maria Soledad, Piagnerelli, Michael, Sarrazin, Josefa Valenzuela, Zabert, Prof. Gustavo, Espinosa, Lucio, Delgado, Paulo, Delgado, Victoria, Rincón, Diego Fernando Bautista, Yanten, Angela Maria Marulanda, Duque, Melissa Bustamante, Brodie, Daniel, Abouelmagd, Khaled, Elhazmi, Alyaa, Al-Hudaib, Abdullah, Javidfar, Jeff, Callahan, Maria, Dong, Andy, D'Orleans, Charles Crepy, Taufik, M. Azhari, Wardoyo, Elizabeth Yasmin, Gunawan, Margaretha, Trisnaningrum, Nurindah S, Irawany, Vera, Rayhan, Muhammad, Panigada, Mauro, Pesenti, Antonio, Zanella, Alberto, Grasselli, Giacomo, Colombo, Sebastiano, Martinet, Chiara, Florio, Gaetano, Antonelli, Massimo, Carelli, Simone, Grieco, Domenico L., Asaki, Motohiro, Hoshino, Kota, Salazar, Leonardo, Monsalve, Mary Alejandra Mendoza, Laffey, John, McNicholas, Bairbre, Cosgrave, David, Atif, Minha, Qutishat, Fadi, Laffey, Caoimhe, Van Der Walt, Michaeal, McCaffrey, Joseph, Bone, Allison, Trickey, Jemma, Horton, Michelle, Pearce, Stephanie, Salerno, Tania, Mohamed, Akram, Alhaddad, Salem, Bakeer, Baliad, Haitam, Shames, Shalabi, Laila, Ahmed, Mohammed Abodina, Hakeem, Yusuff, Winearls, James, Tallott, Mandy, Thomson, David, Joubert, Ivan, Arnold-Day, Christel, Piercy, Jenna, Smit, Richard van Zyl, Miller, Malcom, Seymour, Lisa, van Heyningen, Francois, Teyangesikayi, Gilbert, Fredericks, David, Hssain, Ali Ait, Aliudin, Jeffrey, Alqahtani, Al-Reem, Mohamed, Khoulod, Mohamed, Ahmed, Tan, Darwin, Villanueva, Joy, Zaqout, Ahmed, Labib, Ahmed, Kurtzman, Ethan, Ademi, Arben, Dobrita, Ana, Aoudi, Khadija El, Segura, Juliet, Giwangkancana, Gezy, Ohshimo, Shinichiro, Osatnik, Javier, Joosten, Anne, Torres, Antoni, Yang, Minlan, Motos, Ana, Luna, Carlos, Arancibia, Francisco, Williams, Virginie, Noel, Alexandre, Luque, Nestor, Fantini, Marina, García, Ruth Noemi Jorge, Alvarez, Enrique Chicote, Greti, Anna, Ceccato, Adrian, Sanchez, Angel, Vazquez, Ana Loza, Roche-Campo, Ferran, Franch-Llasat, Diego, Tuazon, Divina, Amato, Marcelo, Cassimiro, Luciana, Pola, Flavio, Ribeiro, Francis, Fonseca, Guilherme, Dalton, Heidi, Desai, Mehul, Osborn, Erik, Deeb, Hala, Arcadipane, Antonio, Martucci, Gennaro, Panarello, Giovanna, Vitiello, Stefano, Bianco, Claudia, Occhipinti, Giovanna, Rossetti, Matteo, Cuffaro, Raffaele, Siddig, Nidhal, Cho, Sung-Min, Whitman, Glenn, Sayed, Marwan El, Mokhtar, Walaa, El-Shenawy, Eslam, Shimizu, Hiroaki, Moriyama, Naoki, Kim, Jae-Burm, Kitamura, Nobuya, Gebauer, Johannes, Yokoyama, Toshiki, Al-Fares, Abdulrahman, Buabbas, Sarah, Alamad, Esam, Alawadhi, Fatma, Alawadi, Kalthoum, Khalefa, Mohamed Ahmed, Ajeel, Nourah Ahmad Abdulaziz Al, Aly, Mohammad Fathy, Al-Saleh, Abdullah, Naanouh, Abdullah, Elshourbgy, Alaa Mohammed, Gad, Mohamed Yousef, ElRazaz, Rania Mohamed, Khadadah, Ibrahim, Almumin, Ahmed Mohammed, Altarakma, Hala, Albannay, Hasan, Alsaleh, Mohammed Kh, Radwan, Mahmoud Saad Abdallah, Saadallah, Islam Ahmed, Tanaka, Hiro, Hashimoto, Satoru, Yamazaki, Masaki, Oh, Tak-Hyuck, Epler, Mark, Forney, Cathleen, Kruse, Louise, Feister, Jared, Williamson, Joelle, Grobengieser, Katherine, Gnall, Eric, Golden, Sasha, Caroline, Mara, Shapiro, Timothy, Karaj, Colleen, Thome, Lisa, Sher, Lynn, Vanderland, Mark, Welch, Mary, McDermott, Sherry, Brain, Matthew, Mineall, Sarah, Unwin, Maria, Chen, Lixian, Trezise, Tarnya, McKeon, Laurie, Kimura, Dai, Brazzi, Luca, Sales, Gabriele, Montrucchio, Giorgia, Ogston, Tawnya, Nagpal, Dave, Fischer, Karlee, Lorusso, Roberto, van Bussell, Bas, De Piero, Maria Elena, Mariani, Silvia, Rangappa, Dr Rajavardhan, Shetty, Dr Rajesh Mohan, P, Sujin Rai, Ganesan, Argin, Tharwat, Samar, Esperatti, Mariano, Fuentes, Nora Angélica, Gonzalez, Maria Eugenia, Carton, Edmund G., Sen, Ayan, Palacios, Amanda, Rainey, Deborah, Samoukoviv, Gordan, Campisi, Josie, Durham, Lucia, Neumann, Emily, Seefeldt, Cassandra, Falcucci, Octavio, Emmrich, Amanda, Guy, Jennifer, Johns, Carling, Potzner, Kelly, Zimmermann, Catherine, Espinal, Angelia, Buchtele, Nina, Schwameis, Michael, Korhnfehl, Andrea, Brock, Roman, Staudinger, Thomas, Stecher, Stephanie-Susanne, Barnikel, Michaela, Antón, Sófia, Pawlikowski, Alexandra, Zaaqoq, Akram, Galloway, Lan Anh, Merley, Caitlin, Muftah, Mohamed, Nichol, Alistair, Csete, Marc, Quesada, Luisa, Saba, Isabela, Kasugai, Daisuke, Hiraiwa, Hiroaki, Tanaka, Taku, Marwali, Eva, Purnama, Yoel, Dewayanti, Santi Rahayu, Ardiyan, Juzar, Dafsah Arifa, Siagian, Debby, Chen, Yih-Sharng, Aldhalia, Amer, Ogino, Mark, Nasa, Prashant, Matthew, Christina, Majeed, Nimisha Abdul, Hafez, Wael, Ratsep, Indrek, Post, Andra-Maris, Sillaots, Piret, Krund, Anneli, Lehiste, Merili-Helen, Lepik, Tanel, Manetta, Frank, Mihelis, Effe, Sarmiento, Iam Claire, Narasimhan, Mangala, Varrone, Michael, Komats, Mamoru, Garcia-Diaz, Julia, Harmon, Catherine, Satyapriya, S. Veena, Bhatt, Amar, Mokadam, Nahush A., Uribe, Alberto, Gonzalez, Alicia, Shi, Haixia, McKeown, Johnny, Pasek, Joshua, Fiorda, Juan, Echeverria, Marco, Moreno, Rita, Zakhary, Bishoy, Cavana, Marco, Cucino, Alberto, Foti, Giuseppe, Giani, Marco, Fumagalli, Benedetta, Chiumello, Davide, Castagna, Valentina, Dell'Amore, Andrea, Navalesi, Paolo, Shum, Hoi-Ping, Vuysteke, Alain, Usman, Asad, Acker, Andrew, Smood, Benjamin, Mergler, Blake, Sertic, Federico, Subramanian, Madhu, Sperry, Alexandra, Rizer, Nicolas, Burhan, Erlina, Rasmin, Menaldi, Akmal, Ernita, Sitompul, Faya, Lolong, Navy, Naivedh, Bhat, Erickson, Simon, Barrett, Peter, Dean, David, Daugherty, Julia, Loforte, Antonio, Khan, Irfan, Quraishi, Mohammed Abraar, DeSantis, Olivia, Nasrallah, Ahmad, So, Dominic, Kandamby, Darshana, Mandei, Jose M., Natanael, Hans, YudhaLantang, Eka, Lantang, Anastasia, Wijaya, Surya Oto, Jung, Anna, Ng, George, Ng, Wing Yiu, Ng, Pauline Yeung, Fang, Shu, Tabah, Alexis, Ratcliffe, Megan, Duroux, Maree, Alajeeli, Ahmed, Tarhabat, Ali, Adachi, Shingo, Nakao, Shota, Blanco, Pablo, Prieto, Ana, Sánchez, Jesús, Nicholson, Meghan, Butt, Warwick, Serratore, Alyssa, Delzoppo, Carmel, Janin, Pierre, Yarad, Elizabeth, Totaro, Richard, Coles, Jennifer, Pujo, Bambang, Balk, Robert, Vissing, Andy, Kapania, Esha, Hays, James, Fox, Samuel, Yantosh, Garrett, Mishin, Pavel, Adem, Safia, Yuliarto, Saptadi, Santoso, Kohar Hari, Djajalaksana, Susanthy, Fatoni, Arie Zainul, Fukuda, Masahiro, Liu, Keibun, Pelosi, Paolo, Battaglini, Denise, Robba, Chiara, Jiménez, Juan Fernando Masa, Bastos, Diego, Gaião, Sérgio, Rusmawatiningtyas, Desy, Cho, Young-Jae, Lee, Su Hwan, Kawasaki, Tatsuya, Munshi, Laveena, Sakiyalak, Pranya, Nitayavardhana, Prompak, Elagili, Mohamed Bashir, Salem, Talat Ahmed Abu, Seitz, Tamara, Arora, Rakesh, Kent, David, Marino, Daniel, Parwar, Swapnil, Cheng, Andrew, Miller, Jennene, Fujitani, Shigeki, Shimizu, Naoki, Madhok, Jai, Owyang, Clark, Buscher, Hergen, Reynolds, Claire, Abdurraouf, Abusalama, Kredan, Ali Abdulnasir, Haddud, Abdurrahman, Moharam, Saad, Maasikas, Olavi, Beljantsev, Aleksan, Mihnovits, Vladislav, Akimoto, Takako, Aizawa, Mariko, Horibe, Kanako, Onodera, Ryota, Hodgson, Carol, Burrell, Aidan, Young, Meredith, George, Timothy, Shekar, Kiran, McGuinness, Niki, Irvine, Lacey, Flynn, Brigid, Almjersah, Abdulrahman, Bakri, Ashraf, Endo, Tomoyuki, Sugiyama, Kazuhiro, Shimizu, Keiki, Fan, Eddy, Exconde, Kathleen, Ichiba, Shingo, Binnawara, Muhannud, Embarek, Hussein, Lussier, Leslie, Lotz, Gösta, Malfertheiner, Maximilian, Maier, Lars, Dreier, Esther, Kusumastuti, Neurinda Permata, McCloskey, Colin, Dabaliz, Al-Awwab, Elshazly, Tarek B, Smith, Josiah, Szuldrzynski, Konstanty S., Bielański, Piotr, Wille, Keith, Murthy, Srinivas, Parhar, Ken Kuljit S., Fiest, Kirsten M., Codan, Cassidy, Shahid, Anmol, Fayed, Mohamed, Evans, Timothy, Garcia, Rebekah, Gutierrez, Ashley, Song, Tae, Rose, Rebecca, Bennett, Suzanne, Richardson, Denise, Peek, Giles, Arora, Lovkesh, Rappapport, Kristina, Rudolph, Kristina, Sibenaller, Zita, Stout, Lori, Walter, Alicia, Herr, Daniel, Vedadi, Nazli, Bartlett, Robert, Thompson, Shaun, Hoffman, Julie, Ying, Xiaonan, Williams, Bailey, Sanchez, Emely, Akwani, Chika, Kennedy, Ryan, Elhadi, Muhammed, Griffee, Matthew, Mone, Mary, Ciullo, Anna, Kida, Yuri, Roca, Ricard Ferrer, Riera, JordI, Contreras, Sofia, Alegre, Cynthia, Kay, Christy, Fischer, Irene, Renner, Elizabeth, Taniguci, Hayato, Lee, James, Plotkin, Daniel, Citarella, Barbara Wanjiru, Merson, Laura, Hartley, Emma, Lubis, Bastian, Ikeyama, Takanari, Mortada, Alshaymaa, Alhamad, Ameen, Mechi, Ahmed, Nadar, Islam Mohsen Ali Mohamed Hassan, Alyasiri, Mohammed Saleh, Elsaid, Muhammed Zainab Alghali, Bhaskar, Balu, Jung, Jae-Seung, McGuinness, Shay, Eastwood, Glenn, Marta, Sandra Rossi, Guarracino, Fabio, Gerle, Stacy, Coxon, Emily, Claro, Bruno, Aldressi, Wafa, Eleisawy, Mahmoud, Osama, Hasnaa, Loverde, Daniel, Patil, Namrata, Parrini, Vieri, McBride, Angela, Negaard, Kathryn, Ratsch, Angela, Abdelaziz, Ahmad, Uribe, Juan David, Peris, Adriano, Sanders, Mark, Emerson, Dominic, Kamal, Muhammad, Faida, Hamza, Povoa, Pedro, Francis, Roland, Cherif, Ali, Joseph, Sunimol, Nardo, Matteo Di, Heard, Micheal, Kyle, Kimberly, Blackwell, Ray A, OUYAHIA, Amel, Biston, Patrick, Jeong, Hye Won, Smith, Reanna, Prawira, Yogi, Garcia, Arturo Huerta, Salterain, Nahikari, Meyns, Bart, Elnasser, Muhammed, Moreno, Marsha, Walia, Rajat, Mehta, Amit, Schweda, Annette, Williams, Melissa, Amkhatirah, Emad, Kim, Kyung Hoon, Assad, Alexandra, Giraldo, Estefania, Karolak, Wojtek, Balik, Martin, Pocock, Elizabeth, Gajkowski, Evan, Bedair, Mohamed, Masafumi, Kanamoto, Barrett, Nicholas, Takeyama, Yoshihiro, Park, Sunghoon, Amin, Faizan, Andriyani, Fina Meilyana, Sudakevych, Serhii, Schnur, Janos, Vera, Magdalena, Cornejo, Rodrigo, Schwarz, Patrícia, Mardini, Ana Carolina, de Paula, Thais, Neto, Ary Serpa, Villoldo, Andrea, Colafranceschi, Alexandre Siciliano, Iglesias, Alejandro Ubeda, Granjean, Juan, Melro, Lívia Maria Garcia, Romualdo, Giovana Fioravante, Gaia, Diego, Souza, Helmgton, Galas, Filomena, Mendiluce, Rafael Máñez, Sosa, Alejandra, Martinez, Ignacio, Kurosawa, Hiroshi, Almoshantaf, Mohammad Badr, Salgado, Juan, Hugi-Mayr, Beate, Charbonneau, Eric, Barzilai, Vitor Salvatore, Monteiro, Veronica, de Souza, Rodrigo Ribeiro, Harper, Michael, Suzuki, Hiroyuki, Adams, Celina, Brieva, Jorge, Khamees, Almu'atasim, Graige, Fadi, Supriatna, Moh, Nyale, George, Eltatar, Faisal Saleem, Fatani, Jihan, Baeissa, Husam, Masri, Ayman AL, Rabie, Ahmed, Hui, Mok Yee, Yamane, Masahiro, Jung, Hanna, Margaret, Ayorinde Mojisola, Nacpil, Newell, Ruck, Katja, Bakken, Rhonda, Jara, Claire, Felton, Tim, Berra, Lorenzo, Shah, Bobby, Chakraborty, Arpan, Cardona, Monika, Capatos, Gerry, Akkanti, Bindu, Orija, Abiodun, Jain, Harsh, Ito, Asami, Housni, Brahim, Low, Sennen, Iihara, Koji, Chavez, Joselito, Ramanathan, Kollengode, Zabert, Gustavo, Naidoo, Krubin, Seppelt, Ian, VanDyk, Marlice, MacDonald, Sarah, McGregor, Randy, Siebenaler, Teka, Flynn, Hannah, Lofton, Kristi, Aokage, Toshiyuki, Kvirkvelia, Bakar, Shigemitsu, Kazuaki, Moscatelli, Andrea, Fiorentino, Giuseppe, Baumgaertel, Matthias, Mba, Serge Eddy, Assy, Jana, Hutahaean, Amelya, Roush, Holly, Sichting, Kay A, Alessandri, Francesco, Burns, Debra, Alkhubouli, Taha Husayn, Salt, Gavin, Garabedian, Carl P., Millar, Jonathan, Sim, Malcolm, Mattke, Adrian, McAuley, Danny, Tadili, Jawad, Frenzel, Tim, Abuleil, Amro, Bar-Lavie, Yaron, Ortiz, Aaron Blandino, Stone, Jackie, Attokaran, Antony, Farquharson, Michael, Patel, Brij, Gunning, Derek, Baillie, Kenneth, Watson, Pia, Tamai, Kenji, Saaid, Ayoub, Anania, Pasquale, Sajinadiyasa, Gede Ketut, Kanyawati, Dyah, Salgado, Marcello, Sassine, Assad, Yudo, Bhirowo, McCaul, Scott, Lee, Bongjin, Lee, Sang Min, Afek, Arnon, Fattouh, Shimaa E, Iwashita, Yoshiaki, Fadlalmola, Hammad, Semedi, Bambang Pujo, Mansour, Noureldin Mohamed, Metiva, Jack, Van Belle, Nicole, Martin-Loeches, Ignacio, Al-Sadawi, Dr Mohammed, Kirakli, Cenk, Shimaa, Al-Touny, Ivatt, Lenny, Woon, Chia Yew, Kang, Hyun Mi, Smith, Timothy, James, Erskine, Al-Rawas, Nawar, Iwasaki, Yudai, Ashour, Hamza, King-Chung, Kenny Chan, Gudzenko, Vadim, Taccone, Fabio, Perdhana, Fajar, Lamarche, Yoan, Ribeiro, Joao Miguel, Bradic, Nikola, Van den Bossche, Klaartje, Lansink, Oude, Singh, Gurmeet, Debeuckelaere, Gerdy, Stelfox, Henry T., Yi, Cassia, Elia, Jennifer, Tribble, Thomas, Shankar, Shyam, Padmanabhan, Raj, Hallinan, Bill, Paoletti, Luca, Leyva, Yolanda, Fykuda, Tatuma, Badulak, Jenelle, Koch, Jillian, Janowaik, Lisa, Hackman, Amy, Hernandez, Deb, Osofsky, Jennifer, Donadello, Katia, Lawang, Aizah, Fine, Josh, Davidson, Benjamin, Vazquez, Andres Oswaldo Razo, Abdehaleem, Ibrahim, Kelly, Thu-Lan, Fanning, Jonathon, Premraj, Lavienraj, Porto, Diego Bastos, White, Nicole M., Bassi, Gianluigi Li, Suen, Jacky, and Fraser, John F.

Published
2024
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34. The estimated prevalence of osteoporosis in Bahrain: a multi-centered-based study

Author

Adla Bakri Hassan, Yasin I. Tayem, Mir Sadat-Ali, Amer J. Almarabheh, Abdulhameed Alawadhi, Ahsan J. Butt, Haitham Jahrami, Jamal Saleh, Mai E. Matar, Mansoor Shaikh, Salman k. Hasan, and Ali R. Karashi

Subjects
Bone Mineral Density, Osteopenia, Bahraini, DEXA, Menopause, Diseases of the musculoskeletal system, RC925-935
Abstract

Abstract Objectives the primary aim of this study was to examine the prevalence and risk factors of low bone mineral density in Bahrain. Methods this was a retrospective study, which targeted a cohort of 4822 Bahraini subjects (mean age 59.36 years: 93% females). Demographic data and results of lumbar and femur DEXA scan for the targeted sample, over the period 2016–2018, were retrieved from four hospitals. Results The prevalence of low BMD was 62.3% (46.4% had osteopenia and 15.9% had osteoporosis). The highest rate of osteopenia was detected at the age group younger than 44 years. However, with increasing age, the rate of osteopenia declined, whereas osteoporosis increased (P

Published
2024
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35. Single copy of the Ricci flow

Author

Alawadhi, Rashid

Subjects
High Energy Physics - Theory, General Relativity and Quantum Cosmology
Abstract

The perturbative double copy is by now a highly established correspondence between gravity and gauge theories. Non-perturbatively, information ranging from classical solutions to topological quantities on both sides have been related to each other via the double copy correspondence. In this paper, we add another result, where we show that the single copy of the Ricci flow is the Yang-Mills flow on the space of connections of a principal $\text{U}(1)$-bundle.

Published
2022

39. Unspoken agreements : analysing the psychological contract of faculty in the context of Bahraini higher education

Author

Alawadhi, Amal, Carr, Sam, and Costas Batlle, Ioannis

Subjects
Psychological Contract, Higher Education, Neoliberalism, Emotional Dissonance
Abstract

The Bahraini higher education sector has been subject to a substantial reform process throughout the past two decades. In this process, the government's role transformed from being the sole educational service provider to the regulator responsible for protecting the public good. This transformation opened the door for private universities to emerge onto the landscape. A neoliberal orientation, including the privatisation of education, increased the pressure on institutions and individuals to meet international standards and comply with the new market rules. The need for efficiency and lean operations resulted in the rise of part-time (PT) employment. Naturally, the traditional employment relationship between academics and their institutions also changed. The purpose of this thesis is to analyse this employment from the perspective of both full-time (FT) and PT faculty. The notion of the Psychological Contract (PC) is deployed as a conceptual lens to facilitate the investigation. The PC refers to the implicit and sometimes unspoken aspects of the agreement between employees and employers. The study examines the content and nature of the PC of academic staff based on the framework discussed by Rousseau (1995). Adopting a qualitative approach, ten faculty members (five males and five females) working at different higher educational institutions in Bahrain were interviewed. The participants were from both public and private institutions. The data were analysed using the thematic analysis technique. The analysis revealed six key themes and 15 sub-themes, addressing the issues of obligations, expectations, promises, and reciprocity. The results suggest that FT faculty differ from their PT counterparts in their expectations of institutions and how they relate to them. FT faculty reported a significant increase in the administrative burden associated with their role. Quality assurance (QA) and accreditation reviews expanded the scope of their job, compromising their feeling of autonomy. Despite marginalisation and unequal pay, PT faculty enjoy the luxury of choosing work assignments and the ability to evade QA reviews, giving them a feeling of contentment to a certain extent. The results also suggest that PT faculty experience a unique type of PC that seems to be neglected in the literature. Overall, the study shows that the psychological experience of academics is characterised by conflicting feelings and values. There is a need for institutions and regulators to assess the academic workload and evaluate the real added value of neoliberal practices in the HE sector.

Published
2022

40. مستوى ممارسة المعلمين لمعايير جودة الممارسات التقييمية في المدارس الحكومية في مملكة البحرين

Author

Ahmed M. Alawadhi and Hassan Alomari

Subjects
الممارسات التقييمية, ممارسة المعلّمين, معايير الجودة, Education
Abstract

الأهداف: هدفت الدراسة الحالية إلى الكشف عن مستوى ممارسة المعلّمين لمعايير جودة الممارسات التقييمية في مملكة البحرين. المنهجية: اتبع في هذه الدراسة المنهج الوصفي التحليلي، وقد تكونت عينة الدراسة من (430) معلّما ومعلّمة من مختلف مراحل التعليم تم اختيارهم بالطريقة الطبقية العشوائية، ولتحقيق أهداف الدراسة؛ تم ببناء قائمة معايير جودة الممارسات التقييمية مكونة من (53) فقرة في صورتها النهائيّة، موزعة على (5) مجالات، وهي (تطوير الأدوات والأساليب التقييمية، التصحيح ورصد الدرجات، الإخبار بنتائج التقويم، الممارسات الأخلاقية للتقويم، استخدام نتائج التقويم) بعد التحقق من خصائصها السايكومتريّة. النتائج: وتبيّن من نتائج الدراسة أن مستويات ممارسة المعلّمين لمعايير جودة الممارسات التقييمية جاءت مرتفعة في جميع مجالات الاستبانة وعلى الاستبانة ككل، حيث تراوحت المتوسطات للمجالات بين (3.08 - 3.44)، حيث كان المجال الأقل متوسطًا هو مجال ممارسات تطوير الأدوات والأساليب التقييمية، بينما كان المجال الأعلى هو مجال الممارسات الأخلاقية للتقويم، واتضح من نتائج الدراسة وجودة فروقٍ ذات دلالة إحصائية عند مستوى الدلالة (α=0.05) في مستوى الممارسة تعزى لمتغيري المؤهل ولصالح حاملي البكالوريوس، والخضوع لتدريب في القياس والتقويم ولصالح من تلقى أكثر من دورة متخصصة في بناء الاختبارات والقياس والتقويم، بينما لم تظهر أي فروق ذات دلالة إحصائية عند مستوى الدلالة (α=0.05) تعزى لمتغيرات الجنس والمرحلة التدريسية وسنوات الخبرة. الخلاصة: اتضح أن مستويات ممارسة المعلمين لمعايير جودة الممارسات التقييمية جاء بدرجة مرتفعة، وأوصت الدراسة بضرورة بإجراء دراسة مماثلة على المدارس الخاصة، والاستمرار في دعم وتعزيز سياسات وبرامج التدريب بوزارة التربية والتعليم في تقييم تحصيل الطلبة.

Published
2024
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41. COVID-19 Effect on Accelerating Technology and Innovation in Businesses

Author

Husam Arman, Shaikha Al-Fulaij, Sulayman Al-Qudsi, Ahmad Alawadhi, and Mohammad Al Ali

Subjects
Innovation, COVID-19, Automation, Technology, Productivity, Business, HF5001-6182, Economics as a science, HB71-74
Abstract

This paper assesses empirically the COVID-19 effect on businesses and the potential dynamic changes regarding post-COVID-19 automation and technology penetration using various logistic regression models. A field survey was used to collect the necessary data for testing various hypotheses. This study demonstrates the severity of the pandemic on businesses and how it has changed their perspectives on technology as a critical aspect of survival and future success. The results showed that capital-intensive firms are more resilient to the crisis. In addition, the firms that were affected severely in terms of employment due to the pandemic believe that technology will significantly impact hiring, investment, and value added. This paper investigates a unique phenomenon represented by COVID-19, its impact on businesses in a resource-rich context and their responsiveness concerning technology deployment and automation.

Published
2024
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42. Oil Price Fluctuation and their Impact on the Macroeconomic Variables: The Case of Kuwait

Author

Salah A. Alawadhi and Adedayo E. Longe

Subjects
Macroeconomic, Oil Price Shocks, Developing Economies, Kuwait, VAR Modelling, Environmental sciences, GE1-350, Energy industries. Energy policy. Fuel trade, HD9502-9502.5
Abstract

The fluctuations in the international prices of crude oil have been a major concern for many economies who depend mainly on oil exports. Oil price shocks are a major disturbance for the economies of oil producing countries. This study investigates the impact of oil price shocks on selected macroeconomic variables in Kuwait using secondary data covering the period of 2001 to 2022. The study adopted the Vector autoregression (VAR) method to analyze the response of Kuwait macroeconomic variables to shocks in oil prices. Oil price in the study is considered in 2 categories: the linear oil price and the non-linear oil price (positive and negative changes in oil price). Based on the findings, it is observed that oil price shocks significantly impact macroeconomic variables in Kuwait. It is found that positive changes in oil prices have a more positive and significant impact on the macroeconomic variables compared to the negative changes in oil price. It is however concluded that there is a need for more policy developments to better harness periods of positive oil price experiences, and develop hedging risk framework for periods of negative changes in oil price in order to curb the impact of oil price shocks on Kuwait’s macroeconomy.

Published
2024
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44. The single copy of the gravitational holonomy

Author

Alawadhi, Rashid, Berman, David S., White, Chris D., and Wikeley, Sam

Subjects
High Energy Physics - Theory, General Relativity and Quantum Cosmology, High Energy Physics - Phenomenology
Abstract

The double copy is a well-established relationship between gravity and gauge theories. It relates perturbative scattering amplitudes as well as classical solutions, and recently there has been mounting evidence that it also applies to non-perturbative information. In this paper, we consider the holonomy properties of manifolds in gravity and prescribe a single copy of gravitational holonomy that differs from the holonomy in gauge theory. We discuss specific cases and give examples where the single copy holonomy group is reduced. Our results may prove useful in extending the classical double copy. We also clarify previous misconceptions in the literature regarding gravitational Wilson lines and holonomy., Comment: 31 pages, 2 figures

Published
2021
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45. The impact of the COVID-19 pandemic on rates and predictors of missed hospital appointments in multiple outpatient clinics of The Royal Hospital, Sultanate of Oman: a retrospective study

Author

Ahmed Alawadhi, Victoria Palin, and Tjeerd van Staa

Subjects
Missed appointments, Impact of COVID-19, Virtual clinics, Oman, Public aspects of medicine, RA1-1270
Abstract

Abstract Background The global outbreak of the COVID-19 pandemic resulted in significant changes in the delivery of health care services such as attendance of scheduled outpatient hospital appointments. This study aimed to evaluate the impact of COVID-19 on the rate and predictors of missed hospital appointment in the Sultanate of Oman. Methods A retrospective single-centre analysis was conducted to determine the effect of COVID-19 on missed hospital appointments at various clinics at The Royal Hospital (tertiary referral hospital) in Muscat, Sultanate of Oman. The study population included scheduled face-to-face and virtual appointments between January 2019 and March 2021. Logistic regression models were used with interaction terms (post COVID-19) to assess changes in the predictors of missed appointments. Results A total of 34, 3149 scheduled appointments was analysed (320,049 face-to-face and 23,100 virtual). The rate of missed face-to-face hospital appointments increased from 16.9% pre to 23.8% post start of COVID-19, particularly in early pandemic (40.5%). Missed hospital appointments were more frequent (32.2%) in virtual clinics (post COVID-19). Increases in missed face-to-face appointments varied by clinic (Paediatrics from 19.3% pre to 28.2% post; Surgery from 12.5% to 25.5%; Obstetrics & Gynaecology from 8.4% to 8.5%). A surge in the frequency of missed appointments was seen during national lockdowns for face-to-face and virtual appointments. Most predictors of missed appointments did not demonstrate any appreciable changes in effect (i.e., interaction term not statistically significant). Distance of patient residence to the hospital revealed no discernible changes in the relative effect pre and post COVID-19 for both face-to-face and virtual clinic appointments. Conclusion The rate of missed visits in most clinics was directly impacted by COVID-19. The case mix of patients who missed their appointments did not change. Virtual appointments, introduced after start of the pandemic, also had substantial rates of missed appointments and cannot be viewed as the single approach that can overcome the problem of missing hospital appointments.

Published
2023
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46. Green Synthesis and Scale-Up of MOFs for Water Harvesting from Air

Author

Zhiling Zheng, Ali H. Alawadhi, and Omar M. Yaghi

Subjects
Metal–Organic Frameworks, Materials, Water Sorption, Green Synthesis, Atmospheric Water Harvesting, Biology (General), QH301-705.5
Abstract

The synthetic scalability of water harvesting metal–organic frameworks (MOFs) is crucial for making these promising materials accessible and widely available for use in household devices. Herein, we present a facile, sustainable, and high-yield synthesis method to produce a series of water-harvesting MOFs, including MOF-303, CAU-23, MIL-160, MOF-313, CAU-10, and Al-fumarate. Using readily available reactants and water as the only solvent, we were able to synthesize these materials at the kilogram scale in a 200 L batch reactor with yields of 84–96% and space-time yields of 238–305 kg/day/m3 under optimized reaction conditions. We also show that our procedure preserves framework crystallinity, porosity, and water-harvesting performance of the MOFs synthesized at scale.

Published
2023
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48. Is Serum Uric Acid Level Associated with Disease Activity in Rheumatoid Arthritis Patients

Author

Alkhudir D, Al-Herz A, Saleh K, Alawadhi A, Al-Kandari W, Hasan E, Mokaddem K, Ghanem A, Bartella YA, Hussain M, AlHadhood N, Ali Y, Nahar E, Alenizi A, Aldei A, Abutiban F, Hayat S, Behbehani H, Baron F, Alhajeri H, Alkadi A, and Alsaber A

Subjects
rheumatoid arthritis, uric acid, disease activity, das28, registry, krrd, kuwait, middle east., Diseases of the musculoskeletal system, RC925-935
Abstract

Dalal Alkhudir,1 Adeeba Al-Herz,1 Khulood Saleh,2 Adel Alawadhi,1,3 Waleed Al-Kandari,2 Eman Hasan,1 Khaled Mokaddem,1 Aqeel Ghanem,4 Youssef Attia Bartella,1 Mohammed Hussain,1 Naser AlHadhood,2 Yaser Ali,4 Ebrahim Nahar,4 Ahmad Alenizi,5 Ali Aldei,1 Fatemah Abutiban,5 Sawsan Hayat,4 Hussain Behbehani,2 Fatemah Baron,5 Hebah Alhajeri,4 Amjad Alkadi,6 Ahmed Alsaber7 1Department of Rheumatology, Amiri Hospital, Kuwait city, Kuwait; 2Department of Rheumatology, Farwania Hospital, Farwaniya, Kuwait; 3Department of Rheumatology, Faculty of Medicine, Kuwait University, Jabriya, Kuwait; 4Department of Rheumatology, Mubarak Al-Kabeer Hospital, Jabriya, Kuwait; 5Department of Rheumatology, Jahra Hospital, Jahra, Kuwait; 6Department of Rheumatology, Sabah Hospital, Sabah, Kuwait; 7College of Business and Economics, The American University of Kuwait, Salmiya, KuwaitCorrespondence: Dalal Alkhudir, Amiri Hospital, Ministry of Health, Kuwait, Email drdalalkh@gmail.comBackground: An association between serum uric acid (UA) and disease activity in rheumatoid arthritis (RA) patients has not been well studied. We describe RA patients with high and normal UA and study its association with RA activity.Methods: Adult RA patients from the Kuwait Registry for Rheumatic Diseases (KRRD) were studied from February 2012 through March 2022. Patients with documented UA levels were included. UA of > 357 μmol/L (6mg/dL) was considered high. Statistical comparison and correlation were made using multivariate logistic regression.Results: Overall, 1054 patients with documented UA. A total of 158 patients (15%) had high UA level with a mean of 409± 44.4μmol/L. The mean age for the high UA group and low UA group were 59.3 ± 10.7 years and 54.5 ± 12.4 years, respectively (p< 0.001). 49.4% were female in high UA group, and 62.2% were female in low UA group, respectively (p< 0.05). Logistic analysis showed an inverse relation between DAS28 and UA, as lower DAS28 score was associated with higher UA level (p=0.032) OR 1.39. There was a direct relation with HAQ, creatinine and UA. A higher HAQ is associated with a higher UA level (p=0.019) OR 0.78. High creatinine level is also associated with high UA level (p< 0.001) OR 0.24. The use of antirheumatic drugs was similar among patients with high and normal UA.Conclusion: RA patients with a higher UA had a lower disease activity despite using similar antirheumatic drugs. The reasons behind this association need to be further studied.Keywords: rheumatoid arthritis, uric acid, disease activity, DAS28, registry, KRRD, Kuwait, Middle East

Published
2023

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