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1,250 results on '"Aziz, Faisal"'

1. Personal Intelligence System UniLM: Hybrid On-Device Small Language Model and Server-Based Large Language Model for Malay Nusantara

Author

Nazri, Azree, Agbolade, Olalekan, and Aziz, Faisal

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

In contexts with limited computational and data resources, high-resource language models often prove inadequate, particularly when addressing the specific needs of Malay languages. This paper introduces a Personal Intelligence System designed to efficiently integrate both on-device and server-based models. The system incorporates SLiM-34M for on-device processing, optimized for low memory and power usage, and MANYAK-1.3B for server-based tasks, allowing for scalable, high-performance language processing. The models achieve significant results across various tasks, such as machine translation, question-answering, and translate IndoMMLU. Particularly noteworthy is SLiM-34M's ability to achieve a high improvement in accuracy compared to other LLMs while using 2 times fewer pre-training tokens. This work challenges the prevailing assumption that large-scale computational resources are necessary to build effective language models, contributing to the development of resource-efficient models for the Malay language with the unique orchestration between SLiM-34M and MANYAK-1.3B., Comment: 20 pages, 5 tables, 4 figures

Published
2024

2. Impact of empagliflozin on cardiac structure and function assessed by echocardiography after myocardial infarction: a post-hoc sub-analysis of the emmy trial

Author

Schwegel, Nora, Strohhofer, Christoph, Kolesnik, Ewald, Oltean, Sabrina, Hüttmair, Alexander, Pipp, Christian, Benedikt, Martin, Verheyen, Nicolas, Gollmer, Johannes, Ablasser, Klemens, Wallner, Markus, Santner, Viktoria, Tripolt, Norbert, Pferschy, Peter, Zechner, Peter, Alber, Hannes, Siller-Matula, Jolanta M., Kopp, Kristen, Zirlik, Andreas, Aziz, Faisal, Sourij, Harald, and von Lewinski, Dirk

Published
2024
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19. Quality of Life in Patients With Chronic Limb-Threatening Ischemia Treated With Revascularization

Author

Menard, Matthew T., Farber, Alik, Powell, Richard J., Rosenfield, Kenneth, Conte, Michael S., Hamza, Taye H., Kaufman, John A., Cziraky, Mark J., Creager, Mark A., Dake, Michael D., Jaff, Michael R., Reid, Diane, Sopko, George, White, Christopher J., Strong, Michael B., van Over, Max, Chisci, Emiliano, Goodney, Philip P., Gray, Bruce, Kayssi, Ahmed, Siracuse, Jeffrey J., Choudhry, Niteesh K., Maurao, Mick, Muluk, Satish, Belkin, Michael, Lyden, Sean, Shishehbor, Mehdi, Bajakian, Danielle, Duwayri, Yazan, Bowens, Nina, Nypaver, Timothy, Mukherjee, Dipankar, Obrand, Daniel, LaMuraglia, Glenn, Kalra, Manju, Bernardo, Nelson, Barshes, Neal, Lipsitz, Evan, Jenkins, J. Stephen, Gasper, Warren, Owens, Christopher, Pomposelli, Frank, Rogers, Kevin, Vouyouka, Ageliki, Passman, Marc, Pena, Constantino, Ramaiah, Venkatesh, Hoch, John, Bersin, Robert, Hayes, Greg, Ho, Karen, Shah, Aamir, Lum, Ying Wie, Darling, R. Clement, III, Aalami, Oliver, Zhou, Wei, Patel, Parag, Aziz, Abdulhameed, Halloran, Brian, Jung, Enjae, Mitchell, Erica, Turba, Ulku Cenk, Choi, Eric, Hiramoto, Jade, Owens, Christopher, Milner, Ross, Crawford, Robert, Ucuzian, Areck, Henke, Peter, Chaer, Rabih, Lahiri (Adams), Julie, Gelabert, Hugh, Safian, Robert, Mena-Hurtado, Carlos, Ihnat, Daniel, Rowe, Vincent, Kashyap, Vikram, Shaw, Palma, Korngold, Ethan, Lindsay, Thomas, Winkelaar, Gerrit, Mell, Matthew, DuVal, Bruce, Aziz, Faisal, Reed, Amy, Nazzal, Munier, Schanzer, Andres, Hamdan, Allen, Smeds, Matthew, Kalish, Jeffrey, Slaiby, Jeffrey, Androes, Mark, Hanover, Tod, Motaganahalli, Raghu, Chang, Catherine, Hye, Robert, Alexander, Jason, Ansel, Gary, Bohannon, Todd, Desai, Sapan, Hodgson, Kim, Hood, Douglas, Guzman, Randolph Pl, Giles, Kristina, Shah, Samir, Hawkins, Beau, Brothers, Thomas Edward, Azizzadeh, Ali, Charlton-Ouw, Kristofer, Khan, Sophia, Brooke, Benjamin S., Kabutey, Nii-Kabu, Sachar, Ravish, Dosluoglu, Hasan, Berman, Scott, Blebea, John, Taubman, Kevin, Douville, Yvan, Cox, Mitchell W., Davis, Joseph, Caps, Michael, Schneider, Peter, Abou-Zamzam, Ahmed, Feldman, Robert, von Mering, Gregory, Tan, Tze-Woei, Virk, Chiranjiv S., Zhang, Wayne, Bacharach, Michael, Seidman, Craig, Iafrati, Mark, Findeiss, Laura, Bailey, Charles, Shames, Murray, Lane, John, Baril, Donald, Hass, Stephen, Stone, Patrick, Sharma, Aditya, Tracci, Margaret, Mackenzie, Kent, Stoner, Michael, Starr, Jean, McAllister, David, Singh, Niten, Tsai, Shirling, Kinlay, Scott, Macsata, Robyn, Neville, Richard, Rundback, John, McGinigle, Kate, Vallabhaneni, Raghu, Espinoza, Andrey, Azarbal, Amir, Longo, G. Matthew, Kovach, Richard, Soukas, Peter, Metzger, Chris, Artis, Andre, Bachinsky, William, Armstrong, Ehrin, Hattler, Brack, Chandra, Venita, Schor, Jonathan, Bianchi, Christian, Kiang, Sharon, Ben-Arie, Eyal, Verta, Michael, Wilkinson, Julia, Hurie, Justin, Kopriva, David, Molnar, Robert, Chun, Linda Jun, Azene, Ezana, Davis, Clark, Blazick, Elizabeth, Henao, Steve, Proffitt, Trent, Herman, Christine, Nathan, Derek, Chang, Robert, Lane, John, Mureebe, Leila, Chen, Jerry, Semel, Marcus, Fecteau, Scott, Mehta, Manish, Nagpal, Sudhir, Shammas, Nicolas, Kujath, Scott, Beasley, Robert, Vogel, Todd, Hedayati, Nasim, Brooks, James, Nelson, Peter, Parrack, Inkyong, Bernik, Thomas, Dexter, David, Brown, Kellie, Huang, Joe, Wu, Timothy, Hacker, Robert, Garland, Brandon Tyler, Griffin, Joseph, Laskowski, Igor, Pfau, Steven, Duncan, Audra, Trachtenberg, Jeffrey, Gordon, Ian, Tan, Tze-Woei, Aulivola, Bernadette, Zayed, Mohamed, Venermo, Maarit, Hill, Andrew, Wickremesekera, Janaka Kesara, Ketteler, Erika, Michelagnoli, Stefano, Bannazadeh, Mohsen, Sikalas, Nicholas, Khashram, Manar, Vasudevan, Thodur, Simmons, Justin, Osborne, Nicholas, Fox, Charles, and Vallabhaneni, Raghuveer

Published
2024
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30. Fourth-Year Medical Students’ Perceptions of Vascular Surgery: Can We Improve the Pipeline?

Author

Arismendi, Tyler, Schaper, Nicholas, Falkenhain, Alec, Karabetsos, Konstantinos C., Syed, Ali, Branch, Rheyana, Moreno, Marvi, Pickney, Cole, Obayi, Ikpechukwu, Lucas, Spencer J., González, Eduardo, Graves, Aaron, Kauffman, Brittany, Maningat, Alexandra, Zielke, Tara, Nam, Janice, Soult, Michael C., Aziz, Faisal, Bose, Saideep, and Smeds, Matthew R.

Published
2023
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33. Carotid Artery Operation Delay During the Covid-19 Pandemic: Results of a Multicenter International Study

Author

Kabeil, Mahmood, Wohlauer, Max V., D’Oria, Mario, Khetarpaul, Vipul, Gillette, Riley, Moore, Ethan, Colborn, Kathryn, Cuff, Robert F., O’Banion, Leigh Ann, Ali, Amna, Lucero, Leah, Costanza, Michael, Hammond, Eric, Motaganahalli, Raghunandan L., Samra, Humraaz, Westin, Gregory G., Allen, Kara, Sachdev, Ulka, Andraska, Elizabeth A., Sharafuddin, Mel, Pena-Quevedo, Judith, Koleilat, Issam, Carnevale, Matthew, Batarseh, Paola, Tonnessen, Britt H., Harroun, Nikolai, Sataviciute, Agnese, Aziz, Faisal, Tinelli, Giovanni, Chuen, Jason, Bath, Jonathan, Mills, Joseph L., Afifi, Rana O., Coscas, Raphaël, Shalhub, Sherene, Nkansah, Reggie, Beck, Adam W., St. John, Rebecca, Malekpour, Fatemeh, Siah, Michael, Kim, Sooyeon, Davies, Mark G., Todd, Grace Ihsiu, Busby, Courtney, Nelson, Peter R., Wyatt, Sydney, Ahmed, Sana, Cosentino, Ashley, Ghosh, Ahana, Miranda, Jorge A., Torres, Inez, Fakhradiyev, Ildar, Kota, Albert, Mier y Teran-Ellis, Santiago, Lopez, Gabriel, Hinojosa, Carlos A., Gunawansa, Nalaka, Mouawad, Nicolas J., Singh, Kuldeep, D'Oria, Mario, and O'Banion, Leigh Ann

Published
2023
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45. Extended anticoagulation for venous thromboembolism: A survey of the American Venous Forum and the European Venous Forum

Author

Shaydakov, Maxim, Ting, Windsor, Sadek, Mikel, Aziz, Faisal, Diaz, Jose, Henke, Peter, Labropoulos, Nicos, Malgor, Rafael, Obi, Andrea, Onida, Sarah, van Rij, André, Vellettaz, Ruben, Shaydakov, Maxim E., Diaz, Jose A., Comerota, Anthony J., Lurie, Fedor, Blebea, John, Eklöf, Bo G., Lugli, Marzia, De Maeseneer, Marianne G.R., Kakkos, Stavros K., Nicolaides, Andrew, Heim, Dominik, and Welch, Harold J.

Published
2022
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49. Coping among South Asian individuals living with chronic illnesses: A latent profile analysis.

Author

Younas, Ahtisham, Zeb, Hussan, Inayat, Shahzad, and Aziz, Faisal

Subjects
SOUTH Asians, ASIANS, CHRONIC diseases, MEDICAL care, CLASS differences
Abstract

Individuals' coping differs based on sociocultural determinants and the nature of illness. This study developed a coping typology for South Asians with chronic illnesses and differentiated the coping profiles based on sociocultural determinants. Individuals (n = 384) with chronic illness were recruited. The Brief COPE scale was used for data collection and latent profile analysis for typology development. The class differences were examined in terms of age, gender, socioeconomic status, education, type of family, smoking, primary decision maker in the family, type of community, number of years living with chronic illness and type of health care services used. Latent profile analysis supported four class model: Avoider‐Emotion (n = 34, 9%), Problem‐Emotion (n = 128, 33.9%), Problem‐Avoider (n = 55, 14.6%) and Emotion‐Avoider (n = 161, 42.6%) copers. Comparison of classes across chronic illness showed that individuals with chronic respiratory disorders were Emotion‐Avoider and Avoider‐Emotion copers, those with cardiac problems were Problem‐Emotional and Problem‐Avoiders copers, those with renal problems were Emotional‐Avoiders and Problem‐Emotions copers, and individuals with mental health issues were mainly Problem‐Emotional and Emotion‐Avoider copers. These class differences were statistically different (χ2 = 134, df = 18, p <.001). The findings can be useful for developing coping programmes for South Asian populations in low‐ and middle‐income countries and South Asian immigrants. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Estimated glomerular filtration rate slope and risk of primary and secondary major adverse cardiovascular events and heart failure hospitalization in people with type 2 diabetes: An analysis of the EXSCEL trial.

Author

Oulhaj, Abderrahim, Aziz, Faisal, Suliman, Abubaker, Eller, Kathrin, Bentoumi, Rachid, Buse, John B., Al Mahmeed, Wael, von Lewinski, Dirk, Coleman, Ruth L., Holman, Rury R., and Sourij, Harald

Subjects
*MAJOR adverse cardiovascular events, *TYPE 2 diabetes, *SYSTOLIC blood pressure, *GLOMERULAR filtration rate, *PEOPLE with diabetes
Abstract

Aim: The decline in estimated glomerular filtration rate (eGFR), a significant predictor of cardiovascular disease (CVD), occurs heterogeneously in people with diabetes because of various risk factors. We investigated the role of eGFR decline in predicting CVD events in people with type 2 diabetes in both primary and secondary CVD prevention settings. Materials and Methods: Bayesian joint modelling of repeated measures of eGFR and time to CVD event was applied to the Exenatide Study of Cardiovascular Event Lowering (EXSCEL) trial to examine the association between the eGFR slope and the incidence of major adverse CV event/hospitalization for heart failure (MACE/hHF) (non‐fatal myocardial infarction, non‐fatal stroke, CV death, or hospitalization for heart failure). The analysis was adjusted for age, sex, smoking, systolic blood pressure, baseline eGFR, antihypertensive and lipid‐lowering medication, diabetes duration, atrial fibrillation, high‐density cholesterol, total cholesterol, HbA1c and treatment allocation (once‐weekly exenatide or placebo). Results: Data from 11 101 trial participants with (n = 7942) and without (n = 3159) previous history of CVD were analysed. The mean ± SD eGFR slope per year in participants without and with previous CVD was −0.68 ± 1.67 and −1.03 ± 2.13 mL/min/1.73 m2, respectively. The 5‐year MACE/hHF incidences were 7.5% (95% CI 6.2, 8.8) and 20% (95% CI 19, 22), respectively. The 1‐SD decrease in the eGFR slope was associated with increased MACE/hHF risks of 48% (HR 1.48, 95% CI 1.12, 1.98, p = 0.007) and 33% (HR 1.33, 95% CI 1.18,1.51, p < 0.001) in participants without and with previous CVD, respectively. Conclusions: eGFR trajectories over time significantly predict incident MACE/hHF events in people with type 2 diabetes with and without existing CVD, with a higher hazard ratio for MACE/hHF in the latter group. [ABSTRACT FROM AUTHOR]

Published
2024
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