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5,631 results on '"Gad, P"'

1. Experimental evidence of Tc enhancement above 50 K and diode and paramagnetic-Meissner effects, in Nickelate films on highly reduced $SrTiO_3$

Author

Eyal, Anna and Koren, Gad

Subjects
Condensed Matter - Superconductivity, Condensed Matter - Materials Science
Abstract

Since the discovery of superconductivity in nickelate thin films in 2019, the quest for enhancing their $T_c$ has been ongoing. Here we provide experimental evidence for $T_c$ enhancement in oxygen deficient films on highly reduced and conducting $SrTiO_3$ substrates. $T_c$ onset of 50-70 K was found in Meissner and transport measurements, which indicates superconductivity in islands or domains in our films, where $T_c$ of zero resistance is obtained at 20-25 K. In addition, we observed a giant paramagnetic-Meissner effect peak at about 48 K, which further supports the existence of a superconductive transition just above it. Furthermore, an asymmetric or nonreciprocal and non-hysteretic superconductive diode effect was observed. The later could be fully polarized, and its polarity could be reversed. The specific phase responsible for these notable effects was not yet identified, and further research is needed in order to identify and isolate the relevant phase., Comment: Comments are welcomed. This file includes also a supplemental more...

Published
2025

2. SQuARE: Sequential Question Answering Reasoning Engine for Enhanced Chain-of-Thought in Large Language Models

Author

Fleischer, Daniel, Berchansky, Moshe, Markovits, Gad, and Wasserblat, Moshe

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

In the rapidly evolving field of Natural Language Processing, Large Language Models (LLMs) are tasked with increasingly complex reasoning challenges. Traditional methods like chain-of-thought prompting have shown promise but often fall short in fully leveraging a model's reasoning capabilities. This paper introduces SQuARE (Sequential Question Answering Reasoning Engine), a novel prompting technique designed to improve reasoning through a self-interrogation paradigm. Building upon CoT frameworks, SQuARE prompts models to generate and resolve multiple auxiliary questions before tackling the main query, promoting a more thorough exploration of various aspects of a topic. Our expansive evaluations, conducted with Llama 3 and GPT-4o models across multiple question-answering datasets, demonstrate that SQuARE significantly surpasses traditional CoT prompts and existing rephrase-and-respond methods. By systematically decomposing queries, SQuARE advances LLM capabilities in reasoning tasks. The code is publicly available at https://github.com/IntelLabs/RAG-FiT/tree/square., Comment: 14 pages more...

Published
2025

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3. Conformal Solutions of Static Plane Symmetric Cosmological Models in Cases of a Perfect Fluid and a Cosmic String Cloud

Author

Gad, Ragab M., Al-Jedani, Awatif, and Alsulami, Shahad T.

Subjects
General Relativity and Quantum Cosmology, Mathematical Physics, 53Q76. 83C10, 83C15
Abstract

In this work, we obtained exact solutions of Einstein's field equations for plane symmetric cosmological models by assuming that thy admit conformal motion. The space-time geometry of these solutions is found to be nonsingular, non-vacuum and conformally flat. We have shown that in the case of a perfect fluid, these solutions have an energy-momentum tensor possessing dark energy with negative pressure and the energy equation of state is $\rho +p=0$. We have shown that a fluid has acceleration, rotation, shear-free, vanishing expansion, and rotation. In the case of a cosmic string cloud, we found that the tension density and particle density decrease as the fluid moves along the direction of the strings, then vanish at infinity. We shown that the exact conformal solution for a static plane symmetric model reduces to the the well-known anti-De Sitter space time. We obtained that the space-time under consideration admits a conformal vector field orthogonal to the four-velocity vector and does not admits a vector parallel to the four-velocity vector. Some physical and kinematic properties of the resulting models are also discussed., Comment: 19 pages more...

Published
2025

4. Project Management Pedagogy: Cultivating Critical Thinking Skills in Higher Education

Author

Sonny Gad Attipoe

Abstract

The present study explores the integration of critical thinking skills concepts in agricultural project management instruction at the undergraduate level, using the traditional classroom theoretical approach and a blended learning model. The study, encompassing 118 undergraduate students, compares the effectiveness of these methods in enhancing students' understanding, measured through examination scores, group presentations, and students' overall perceptions of the use of the methods. Students achieved a mean examination score of 64.82% under the traditional approach and 72.66% for the blended learning approach. Statistical analysis, including a t-test, revealed significant differences favoring the blended approach. Additionally, performance assessments using six criteria during presentations yielded varied mean scores. ANOVA analysis showed a significant difference among the groups, and post hoc tests highlighted distinctions between specific groups' means, emphasizing the effectiveness of blended learning in enhancing students understanding. Students' perceptions, gathered through a 5-point Likert scale, underscored satisfaction with the blended approach due to its flexibility, catering to diverse learning styles, and fostering critical thinking skills. We recommend institutions strengthen project management instruction by adopting blended learning, emphasizing critical thinking, and prioritizing continuous assessment and student-centric approaches since they cultivate an engaging learning experience, preparing students for managing future complexities on projects. [Note: The issue number (25) shown on the PDF is incorrect. The correct issue number is 24.] more...

Published
2024

5. Polygenic score distribution differences across European ancestry populations: implications for breast cancer risk prediction.

Author

Yiangou, Kristia, Mavaddat, Nasim, Dennis, Joe, Zanti, Maria, Wang, Qin, Bolla, Manjeet, Abubakar, Mustapha, Ahearn, Thomas, Andrulis, Irene, Anton-Culver, Hoda, Antonenkova, Natalia, Arndt, Volker, Aronson, Kristan, Augustinsson, Annelie, Baten, Adinda, Behrens, Sabine, Bermisheva, Marina, de Gonzalez, Amy, Białkowska, Katarzyna, Boddicker, Nicholas, Bodelon, Clara, Bogdanova, Natalia, Bojesen, Stig, Brantley, Kristen, Brauch, Hiltrud, Brenner, Hermann, Camp, Nicola, Canzian, Federico, Castelao, Jose, Cessna, Melissa, Chang-Claude, Jenny, Chenevix-Trench, Georgia, Chung, Wendy, Colonna, Sarah, Couch, Fergus, Cox, Angela, Cross, Simon, Czene, Kamila, Daly, Mary, Devilee, Peter, Dörk, Thilo, Dunning, Alison, Eccles, Diana, Eliassen, A, Engel, Christoph, Eriksson, Mikael, Evans, D, Fasching, Peter, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gago-Dominguez, Manuela, Gentry-Maharaj, Aleksandra, González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher, Hamann, Ute, Hartikainen, Jaana, Ho, Vikki, Hodge, James, Hollestelle, Antoinette, Honisch, Ellen, Hooning, Maartje, Hoppe, Reiner, Hopper, John, Howell, Sacha, Howell, Anthony, Jakovchevska, Simona, Jakubowska, Anna, Jernström, Helena, Johnson, Nichola, Kaaks, Rudolf, Khusnutdinova, Elza, Kitahara, Cari, Koutros, Stella, Kristensen, Vessela, Lacey, James, Lambrechts, Diether, Lejbkowicz, Flavio, Lindblom, Annika, Lush, Michael, Mannermaa, Arto, Mavroudis, Dimitrios, Menon, Usha, Murphy, Rachel, Nevanlinna, Heli, Obi, Nadia, Offit, Kenneth, Park-Simon, Tjoung-Won, Patel, Alpa, Peng, Cheng, Peterlongo, Paolo, Pita, Guillermo, Plaseska-Karanfilska, Dijana, Pylkäs, Katri, Radice, Paolo, Rashid, Muhammad, Rennert, Gad, and Roberts, Eleanor more...

Subjects
Breast cancer, Polygenic risk scores, Risk calibration, Risk prediction, Humans, Female, Breast Neoplasms, Genetic Predisposition to Disease, Multifactorial Inheritance, White People, Risk Assessment, Risk Factors, Europe, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Middle Aged, Genotype
Abstract

BACKGROUND: The 313-variant polygenic risk score (PRS313) provides a promising tool for clinical breast cancer risk prediction. However, evaluation of the PRS313 across different European populations which could influence risk estimation has not been performed. METHODS: We explored the distribution of PRS313 across European populations using genotype data from 94,072 females without breast cancer diagnosis, of European-ancestry from 21 countries participating in the Breast Cancer Association Consortium (BCAC) and 223,316 females without breast cancer diagnosis from the UK Biobank. The mean PRS was calculated by country in the BCAC dataset and by country of birth in the UK Biobank. We explored different approaches to reduce the observed heterogeneity in the mean PRS across the countries, and investigated the implications of the distribution variability in risk prediction. RESULTS: The mean PRS313 differed markedly across European countries, being highest in individuals from Greece and Italy and lowest in individuals from Ireland. Using the overall European PRS313 distribution to define risk categories, leads to overestimation and underestimation of risk in some individuals from these countries. Adjustment for principal components explained most of the observed heterogeneity in the mean PRS. The mean estimates derived when using an empirical Bayes approach were similar to the predicted means after principal component adjustment. CONCLUSIONS: Our results demonstrate that PRS distribution differs even within European ancestry populations leading to underestimation or overestimation of risk in specific European countries, which could potentially influence clinical management of some individuals if is not appropriately accounted for. Population-specific PRS distributions may be used in breast cancer risk estimation to ensure predicted risks are correctly calibrated across risk categories. more...

Published
2024

6. Incidence, Clearance, and Persistence of Penile High-Risk Human Papillomavirus Among Rwandan Men Who Have Sex With Men.

Author

Murenzi, Gad, Kim, Hae-Young, Mivumbi, Jean, Gasana, Josephine, Munyaneza, Athanase, Tuyisenge, Patrick, Kanyabwisha, Faustin, Zawadi, Thierry, Muhoza, Benjamin, Kubwimana, Gallican, Adedimeji, Adebola, Yotebieng, Marcel, Mutesa, Leon, Shi, Qiuhu, Anastos, Kathryn, and Palefsky, Joel more...

Subjects
HIV, Kigali, MSM, Rwanda, penile HPV, Humans, Male, Adult, Papillomavirus Infections, Incidence, Rwanda, Homosexuality, Male, Young Adult, HIV Infections, Papillomaviridae, Penis, Prevalence, Risk Factors, Adolescent, Human Papillomavirus Viruses
Abstract

BACKGROUND: Little is known about penile high-risk human papillomavirus (hrHPV) among men who have sex with men (MSM) in low- and middle-income countries. We aimed to determine the incidence, clearance, and persistence of penile hrHPV among Rwandan MSM. METHODS: We enrolled 350 MSM (345 with valid human papillomavirus [HPV] results) aged ≥18 years. At each visit (6-12 months apart), we collected penile PreservCyt specimens and blood for HPV and HIV testing, as well as sociodemographic and behavioral variables. HPV testing was performed with the Ampfire assay. Penile hrHPV incidence and clearance per 1000 person-months of follow-up, as well as prevalent and incident persistence, were computed and compared by HIV status. RESULTS: The mean (SD) age was 27.7 (6.7) years and 19.4% were living with HIV. Penile hrHPV incidence was 34.8 (95% CI, 29.1-41.8) per 1000 person-months of follow-up. HPV-16 (11.7; 95% CI, 9.26-14.9) and HPV-59 (6.1; 95% CI, 4.52-8.39) had the highest incidence rates. Prevalent and incident persistence was 47.5% and 46.6%, respectively. HPV-66 (33.3%), HPV-52 (30.8%), and HPV-16 (29.2%) had the highest prevalent persistence and HPV-33 (53.8%), HPV-31 (46.7%), and HPV-16 (42.6%) the highest incident persistence. No differences were found by HIV status except for HPV-45 (higher in MSM with HIV). CONCLUSIONS: We found high incidence and prevalent/incident persistence of penile hrHPV among Rwandan MSM. This highlights the importance of preventive strategies for HPV-associated anogenital cancers. more...

Published
2024

7. Temporal Graph Memory Networks For Knowledge Tracing

Author

Gad, Seif, Abdelfattah, Sherif, and Abdelrahman, Ghodai

Subjects
Computer Science - Computers and Society, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Tracing a student's knowledge growth given the past exercise answering is a vital objective in automatic tutoring systems to customize the learning experience. Yet, achieving this objective is a non-trivial task as it involves modeling the knowledge state across multiple knowledge components (KCs) while considering their temporal and relational dynamics during the learning process. Knowledge tracing methods have tackled this task by either modeling KCs' temporal dynamics using recurrent models or relational dynamics across KCs and questions using graph models. Albeit, there is a lack of methods that could learn joint embedding between relational and temporal dynamics of the task. Moreover, many methods that count for the impact of a student's forgetting behavior during the learning process use hand-crafted features, limiting their generalization on different scenarios. In this paper, we propose a novel method that jointly models the relational and temporal dynamics of the knowledge state using a deep temporal graph memory network. In addition, we propose a generic technique for representing a student's forgetting behavior using temporal decay constraints on the graph memory module. We demonstrate the effectiveness of our proposed method using multiple knowledge tracing benchmarks while comparing it to state-of-the-art methods. more...

Published
2024

8. Survey on Emotion Recognition through Posture Detection and the possibility of its application in Virtual Reality

Author

Elansary, Leina, Taha, Zaki, and Gad, Walaa

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

A survey is presented focused on using pose estimation techniques in Emotional recognition using various technologies normal cameras, and depth cameras for real-time, and the potential use of VR and inputs including images, videos, and 3-dimensional poses described in vector space. We discussed 19 research papers collected from selected journals and databases highlighting their methodology, classification algorithm, and the used datasets that relate to emotion recognition and pose estimation. A benchmark has been made according to their accuracy as it was the most common performance measurement metric used. We concluded that the multimodal Approaches overall made the best accuracy and then we mentioned futuristic concerns that can improve the development of this research topic. more...

Published
2024

16. Effects of anti-inflammatory therapy in acute heart failure: a systematic review and meta-analysis

Author

Davison, Beth A., Abbate, Antonio, Cotter, Gad, Pascual-Figal, Domingo, Van Tassell, Benjamin, Villota, Julio Núñez, Atabaeva, Lina, Freund, Yonathan, Aimo, Alberto, Biegus, Jan, Golino, Michele, Del Buono, Marco Giuseppe, Chioncel, Ovidiu, Cohen-Solal, Alain, Edwards, Christopher, Fernández-Villa, Noelia, Filippatos, Gerasimos, González-Juanatey, José Ramón, Hayrapetyan, Hamlet, Ibáñez, Borja, Iborra, Pau Llàcer, Moroni, Francesco, ter Maaten, Jozine M., Markley, Roshanak, González-Martín, Javier, Martínez-Sellés, Manuel, Drambyan, Mayranush, Metra, Marco, Mirabet, Sonia, Mshetsyan, Andranik, Novosadova, Maria, Pagnesi, Matteo, Ponikowski, Piotr, Riquelme-Pérez, Alejandro, Sadoune, Malha, Sánchez, Manuel Anguita, Simon, Tabassome, Taibo-Urquía, Mikel, Takagi, Koji, Villar, Sandra, Liu, Chao, Voors, Adriaan A., Mebazaa, Alexandre, Mann, Douglas L., and Bayés-Genís, Antoni more...

Published
2025
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18. A neoantigen vaccine generates antitumour immunity in renal cell carcinoma

Author

Braun, David A., Moranzoni, Giorgia, Chea, Vipheaviny, McGregor, Bradley A., Blass, Eryn, Tu, Chloe R., Vanasse, Allison P., Forman, Cleo, Forman, Juliet, Afeyan, Alexander B., Schindler, Nicholas R., Liu, Yiwen, Li, Shuqiang, Southard, Jackson, Chang, Steven L., Hirsch, Michelle S., LeBoeuf, Nicole R., Olive, Oriol, Mehndiratta, Ambica, Greenslade, Haley, Shetty, Keerthi, Klaeger, Susan, Sarkizova, Siranush, Pedersen, Christina B., Mossanen, Matthew, Carulli, Isabel, Tarren, Anna, Duke-Cohan, Joseph, Howard, Alexis A., Iorgulescu, J. Bryan, Shim, Bohoon, Simon, Jeremy M., Signoretti, Sabina, Aster, Jon C., Elagina, Liudmila, Carr, Steven A., Leshchiner, Ignaty, Getz, Gad, Gabriel, Stacey, Hacohen, Nir, Olsen, Lars R., Oliveira, Giacomo, Neuberg, Donna S., Livak, Kenneth J., Shukla, Sachet A., Fritsch, Edward F., Wu, Catherine J., Keskin, Derin B., Ott, Patrick A., and Choueiri, Toni K. more...

Published
2025
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19. Genomic and transmission dynamics of the 2024 Marburg virus outbreak in Rwanda

Author

Butera, Yvan, Mutesa, Leon, Parker, Edyth, Muvunyi, Raissa, Umumararungu, Esperance, Ayitewala, Alisen, Musabyimana, Jean Pierre, Olono, Alhaji, Sesonga, Placide, Ogunsanya, Olusola, Kabalisa, Emmanuel, Adedokun, Oluwatobi, Gahima, Nelson, Irankunda, Laetitia, Mutezemariya, Chantal, Niyonkuru, Richard, Uwituze, Arlene, Uwizera, Ithiel, Kagame, James, Umugwaneza, Arlette, Rwabuhihi, John, Umwanankabandi, Fidele, Mbonitegeka, Valens, Ntagwabira, Edouard, Kayigi, Etienne, Izuwayo, Gerard, Murenzi, Herve, Mukankwiro, Therese, Tuyiringire, Nasson, Uwimana, Jean Marie Vianney, Gasengayire, Agnes, Sindayiheba, Reuben, Onyeugo, Glory-Ugochi, Aragaw, Merawi, Gitundu, Lenny, Bigirimana, Radjabu, Fallah, Mosoka, Ejikeme, Adaora, Sembuche, Senga, Kabanda, Alice, Mugisha, Jean Claude, Francis, Emmanuel Edwar Siddig, Gashema, Pierre, Ndayisenga, Jerome, Rugamba, Alexis, Kanyabwisha, Faustin, Murenzi, Gad, Happi, Anise, Ngabonziza, Jean Claude Semuto, Gashegu, Misbah, Ahmed, Ayman, Bigirimana, Noella, Rwagasore, Edson, Semakula, Muhammed, Rwabihama, Jean Paul, Musanabaganwa, Clarisse, Seruyange, Eric, Nkeshimana, Menelas, Twagirumugabe, Theogene, Turatsinze, David, Remera, Eric, Gahamanyi, Noel, Tessema, Sofonias Kifle, Mukagatare, Isabelle, Nsanzimana, Sabin, Happi, Christian, and Muvunyi, Claude Mambo more...

Published
2025
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24. Dynamic proportional loss of functional connectivity revealed change of left superior frontal gyrus in subjective cognitive decline: an explanatory study based on Chinese and Western cohorts

Author

Wang, Luyao, Hu, Wenjing, Dong, Fan, Sheng, Can, Wu, Jinglong, Han, Ying, Jiang, Jiehui, Weiner, Michael W., Aisen, Paul, Petersen, Ronald, Jack, Clifford R., Jagust, William, Trojanowski, John Q., Toga, Arthur W., Beckett, Laurel, Green, Robert C., Saykin, Andrew J., Morris, John, Shaw, Leslie M., Khachaturian, Zaven, Sorensen, Greg, Kuller, Lew, Raichle, Marcus, Paul, Steven, Davies, Peter, Fillit, Howard, Hefti, Franz, Holtzman, David, Mesulam, Marek M., Potter, William, Snyder, Peter, Schwartz, Adam, Montine, Tom, Thomas, Ronald G., Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Jiminez, Gus, Harvey, Danielle, Bernstein, Matthew, Thompson, Paul, Schuff, Norbert, Borowski, Bret, Gunter, Jeff, Senjem, Matt, Vemuri, Prashanthi, Jones, David, Kantarci, Kejal, Ward, Chad, Koeppe, Robert A., Foster, Norm, Reiman, Eric M., Chen, Kewei, Mathis, Chet, Landau, Susan, Cairns, Nigel J., Householder, Erin, Taylor-Reinwald, Lisa, Lee, Virginia, Korecka, Magdalena, Figurski, Michal, Crawford, Karen, Neu, Scott, Foroud, Tatiana M., Potkin, Steven G., Shen, Li, Faber, Kelley, Kim, Sungeun, Nho, Kwangsik, Thal, Leon, Buckholtz, Neil, Albert, Marylyn, Frank, Richard, Hsiao, John, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Carter, Raina, Dolen, Sara, Schneider, Lon S., Pawluczyk, Sonia, Beccera, Mauricio, Teodoro, Liberty, Spann, Bryan M., Brewer, James, Vanderswag, Helen, Fleisher, Adam, Heidebrink, Judith L., Lord, Joanne L., Mason, Sara S., Albers, Colleen S., Knopman, David, Johnson, Kris, Doody, Rachelle S., Villanueva-Meyer, Javier, Chowdhury, Munir, Rountree, Susan, Dang, Mimi, Stern, Yaakov, Honig, Lawrence S., Bell, Karen L., Ances, Beau, Carroll, Maria, Leon, Sue, Mintun, Mark A., Schneider, Stacy, Oliver, Angela, Marson, Daniel, Griffith, Randall, Clark, David, Geldmacher, David, Brockington, John, Roberson, Erik, Grossman, Hillel, Mitsis, Effie, de Toledo-Morrell, Leyla, Shah, Raj C., Duara, Ranjan, Varon, Daniel, Greig, Maria T., Roberts, Peggy, Onyike, Chiadi, D’Agostino, Daniel, Kielb, Stephanie, Galvin, James E., Cerbone, Brittany, Michel, Christina A., Rusinek, Henry, de Leon, Mony J., Glodzik, Lidia, De Santi, Susan, Doraiswamy, PMurali, Petrella, Jeffrey R., Wong, Terence Z., Arnold, Steven E., Karlawish, Jason H., Wolk, David, Smith, Charles D., Jicha, Greg, Hardy, Peter, Sinha, Partha, Oates, Elizabeth, Conrad, Gary, Lopez, Oscar L., Oakley, MaryAnn, Simpson, Donna M., Porsteinsson, Anton P., Goldstein, Bonnie S., Martin, Kim, Makino, Kelly M., Ismail, MSaleem, Brand, Connie, Mulnard, Ruth A., Thai, Gaby, McAdams-Ortiz, Catherine, Womack, Kyle, Mathews, Dana, Quiceno, Mary, Diaz-Arrastia, Ramon, King, Richard, Weiner, Myron, Martin-Cook, Kristen, DeVous, Michael, Levey, Allan I., Lah, James J., Cellar, Janet S., Burns, Jeffrey M., Anderson, Heather S., Swerdlow, Russell H., Apostolova, Liana, Tingus, Kathleen, Woo, Ellen, Silverman, Daniel H. S., Lu, Po H., Bartzokis, George, Graff-Radford, Neill R., Parfitt, Francine, Kendall, Tracy, Johnson, Heather, Farlow, Martin R., Hake, Ann Marie, Matthews, Brandy R., Herring, Scott, Hunt, Cynthia, van Dyck, Christopher H., Carson, Richard E., MacAvoy, Martha G., Chertkow, Howard, Bergman, Howard, Hosein, Chris, Hsiung, Ging-Yuek Robin, Feldman, Howard, Mudge, Benita, Assaly, Michele, Bernick, Charles, Munic, Donna, Kertesz, Andrew, Rogers, John, Trost, Dick, Kerwin, Diana, Lipowski, Kristine, Wu, Chuang-Kuo, Johnson, Nancy, Sadowsky, Carl, Martinez, Walter, Villena, Teresa, Turner, Raymond Scott, Johnson, Kathleen, Reynolds, Brigid, Sperling, Reisa A., Johnson, Keith A., Marshall, Gad, Frey, Meghan, Lane, Barton, Rosen, Allyson, Tinklenberg, Jared, Sabbagh, Marwan N., Belden, Christine M., Jacobson, Sandra A., Sirrel, Sherye A., Kowall, Neil, Killiany, Ronald, Budson, Andrew E., Norbash, Alexander, Johnson, Patricia Lynn, Allard, Joanne, Lerner, Alan, Ogrocki, Paula, Hudson, Leon, Fletcher, Evan, Carmichae, Owen, Olichney, John, DeCarli, Charles, Kittur, Smita, Borrie, Michael, Lee, T.-Y., Bartha, Rob, Johnson, Sterling, Asthana, Sanjay, Carlsson, Cynthia M., Preda, Adrian, Nguyen, Dana, Tariot, Pierre, Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Scharre, Douglas W., Kataki, Maria, Adeli, Anahita, Zimmerman, Earl A., Celmins, Dzintra, Brown, Alice D., Pearlson, Godfrey D., Blank, Karen, Anderson, Karen, Santulli, Robert B., Kitzmiller, Tamar J., Schwartz, Eben S., Sink, Kaycee M., Williamson, Jeff D., Garg, Pradeep, Watkins, Franklin, Ott, Brian R., Querfurth, Henry, Tremont, Geoffrey, Salloway, Stephen, Malloy, Paul, Correia, Stephen, Rosen, Howard J., Miller, Bruce L., Mintzer, Jacobo, Spicer, Kenneth, Bachman, David, Pasternak, Stephen, Rachinsky, Irina, Drost, Dick, Pomara, Nunzio, Hernando, Raymundo, Sarrael, Antero, Schultz, Susan K., Ponto, Laura L. Boles, Shim, Hyungsub, Smith, Karen Elizabeth, Relkin, Norman, Chaing, Gloria, Raudin, Lisa, Smith, Amanda, Fargher, Kristin, Raj, Balebail Ashok, Neylan, Thomas, Grafman, Jordan, Davis, Melissa, Morrison, Rosemary, Hayes, Jacqueline, Finley, Shannon, Friedl, Karl, Fleischman, Debra, Arfanakis, Konstantinos, James, Olga, Massoglia, Dino, Fruehling, JJay, Harding, Sandra, Peskind, Elaine R., Petrie, Eric C., Li, Gail, Yesavage, Jerome A., Taylor, Joy L., and Furst, Ansgar J. more...

Published
2025
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29. Finding individualised treatment in obese needing enoxaparin (FIT ONE): a multicentre study of therapeutic enoxaparin and the role of anti-factor Xa monitoring: Finding individualised treatment in obese needing enoxaparin…

Author

Appay, Marcelle, Lai, Justine, Hay, Justine, Calvisi, Connie, Wills, Geoffrey, Kharadi, Shreyas, Nanayakkara, Sajani, Ryu, Ji Sang, Alameddine, Rozanna, Jupp, Sarah, Lin, Margaretta, Nguyen, Jessica, Nguyen, Tammy, Harrison, Nicholas, Gad, Fady, Kagaya, Sakura, Nguyen, Liam, Piyush, Sharma, Shion, Vicky, Pandya, Advait, Emin, Mustafa, Lim, Ewe Shen, Rahman, Urna, Hayat, Farhad, Gajaweera, Chamali, Sheriff, Nashwa, Patanwala, Asad E., Pasalic, Leonardo, and Alffenaar, Jan-Willem more...

Published
2025
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30. VoxAtnNet: A 3D Point Clouds Convolutional Neural Network for Generalizable Face Presentation Attack Detection

Author

Ramachandra, Raghavendra, Vetrekar, Narayan, Venkatesh, Sushma, Nageshker, Savita, Singh, Jag Mohan, and Gad, R. S.

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Cryptography and Security
Abstract

Facial biometrics are an essential components of smartphones to ensure reliable and trustworthy authentication. However, face biometric systems are vulnerable to Presentation Attacks (PAs), and the availability of more sophisticated presentation attack instruments such as 3D silicone face masks will allow attackers to deceive face recognition systems easily. In this work, we propose a novel Presentation Attack Detection (PAD) algorithm based on 3D point clouds captured using the frontal camera of a smartphone to detect presentation attacks. The proposed PAD algorithm, VoxAtnNet, processes 3D point clouds to obtain voxelization to preserve the spatial structure. Then, the voxelized 3D samples were trained using the novel convolutional attention network to detect PAs on the smartphone. Extensive experiments were carried out on the newly constructed 3D face point cloud dataset comprising bona fide and two different 3D PAIs (3D silicone face mask and wrap photo mask), resulting in 3480 samples. The performance of the proposed method was compared with existing methods to benchmark the detection performance using three different evaluation protocols. The experimental results demonstrate the improved performance of the proposed method in detecting both known and unknown face presentation attacks., Comment: Accepted in 2024 18th International Conference on Automatic Face and Gesture Recognition (FG) more...

Published
2024

44. Developmental mosaicism underlying EGFR-mutant lung cancer presenting with multiple primary tumors

Author

Burr, Risa, Leshchiner, Ignaty, Costantino, Christina L., Blohmer, Martin, Sundaresan, Tilak, Cha, Justin, Seeger, Karsen, Guay, Sara, Danysh, Brian P., Gore, Ira, Jacobs, Raquel A., Slowik, Kara, Utro, Filippo, Rhrissorrakrai, Kahn, Levovitz, Chaya, Barth, Jaimie L., Dubash, Taronish, Chirn, Brian, Parida, Laxmi, Sequist, Lecia V., Lennerz, Jochen K., Mino-Kenudson, Mari, Maheswaran, Shyamala, Naxerova, Kamila, Getz, Gad, and Haber, Daniel A. more...

Published
2024
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46. Insights on prevalence and incidence of anemia and rapid up-titration of oral heart failure treatment from the STRONG-HF study

Author

Čelutkienė, Jelena, Čerlinskaitė-Bajorė, Kamilė, Cotter, Gad, Edwards, Christopher, Adamo, Marianna, Arrigo, Mattia, Barros, Marianela, Biegus, Jan, Chioncel, Ovidiu, Cohen-Solal, Alain, Damasceno, Albertino, Diaz, Rafael, Filippatos, Gerasimos, Gayat, Etienne, Kimmoun, Antoine, Léopold, Valentine, Deniau, Benjamin, Metra, Marco, Novosadova, Maria, Pagnesi, Matteo, Pang, Peter S., Ponikowski, Piotr, Saidu, Hadiza, Sliwa, Karen, Takagi, Koji, Ter Maaten, Jozine M., Tomasoni, Daniela, Lam, Carolyn S. P., Voors, Adriaan A., Mebazaa, Alexandre, and Davison, Beth more...

Published
2024
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