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63,829 results on '"Gad, A"'

1. 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.]

Published
2024

2. 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

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.

Published
2024

3. 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.

Published
2024

4. 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.

Published
2024

6. 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)

Published
2024

14. 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.

Published
2024
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17. 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

Published
2024
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26. Adaptive multi-criteria-based load balancing technique for resource allocation in fog-cloud environments

Author

Gad-Elrab, Ahmed A. A., Alsharkawy, Almohammady S., Embabi, Mahmoud E., Sobhi, Ahmed, and Emara, Farouk A.

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Recently, to deliver services directly to the network edge, fog computing, an emerging and developing technology, acts as a layer between the cloud and the IoT worlds. The cloud or fog computing nodes could be selected by IoTs applications to meet their resource needs. Due to the scarce resources of fog devices that are available, as well as the need to meet user demands for low latency and quick reaction times, resource allocation in the fog-cloud environment becomes a difficult problem. In this problem, the load balancing between several fog devices is the most important element in achieving resource efficiency and preventing overload on fog devices. In this paper, a new adaptive resource allocation technique for load balancing in a fog-cloud environment is proposed. The proposed technique ranks each fog device using hybrid multi-criteria decision-making approaches Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy Technique for Order Performance by Similarity to Ideal Solution (FTOPSIS), then selects the most effective fog device based on the resulting ranking set. The simulation results show that the proposed technique outperforms existing techniques in terms of load balancing, response time, resource utilization, and energy consumption. The proposed technique decreases the number of fog nodes by 11%, load balancing variance by 69% and increases resource utilization to 90% which is comparatively higher than the comparable methods.

Published
2024
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35. Finding individualised treatment in obese needing enoxaparin (FIT ONE): a multicentre study of therapeutic enoxaparin and the role of anti-factor Xa monitoring

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

Published
2024
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44. Understanding the genetic complexity of puberty timing across the allele frequency spectrum

Author

Kentistou, Katherine A., Kaisinger, Lena R., Stankovic, Stasa, Vaudel, Marc, Mendes de Oliveira, Edson, Messina, Andrea, Walters, Robin G., Liu, Xiaoxi, Busch, Alexander S., Helgason, Hannes, Thompson, Deborah J., Santoni, Federico, Petricek, Konstantin M., Zouaghi, Yassine, Huang-Doran, Isabel, Gudbjartsson, Daniel F., Bratland, Eirik, Lin, Kuang, Gardner, Eugene J., Zhao, Yajie, Jia, Raina Y., Terao, Chikashi, Riggan, Marjorie J., Bolla, Manjeet K., Yazdanpanah, Mojgan, Yazdanpanah, Nahid, Bradfield, Jonathan P., Broer, Linda, Campbell, Archie, Chasman, Daniel I., Cousminer, Diana L., Franceschini, Nora, Franke, Lude H., Girotto, Giorgia, He, Chunyan, Järvelin, Marjo-Riitta, Joshi, Peter K., Kamatani, Yoichiro, Karlsson, Robert, Luan, Jian’an, Lunetta, Kathryn L., Mägi, Reedik, Mangino, Massimo, Medland, Sarah E., Meisinger, Christa, Noordam, Raymond, Nutile, Teresa, Concas, Maria Pina, Polašek, Ozren, Porcu, Eleonora, Ring, Susan M., Sala, Cinzia, Smith, Albert V., Tanaka, Toshiko, van der Most, Peter J., Vitart, Veronique, Wang, Carol A., Willemsen, Gonneke, Zygmunt, Marek, Ahearn, Thomas U., Andrulis, Irene L., Anton-Culver, Hoda, Antoniou, Antonis C., Auer, Paul L., Barnes, Catriona L. K., Beckmann, Matthias W., Berrington de Gonzalez, Amy, Bogdanova, Natalia V., Bojesen, Stig E., Brenner, Hermann, Buring, Julie E., Canzian, Federico, Chang-Claude, Jenny, Couch, Fergus J., Cox, Angela, Crisponi, Laura, Czene, Kamila, Daly, Mary B., Demerath, Ellen W., Dennis, Joe, Devilee, Peter, De Vivo, Immaculata, Dörk, Thilo, Dunning, Alison M., Dwek, Miriam, Eriksson, Johan G., Fasching, Peter A., Fernandez-Rhodes, Lindsay, Ferreli, Liana, Fletcher, Olivia, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A., González-Neira, Anna, Grallert, Harald, Guénel, Pascal, Haiman, Christopher A., Hall, Per, Hamann, Ute, Hakonarson, Hakon, Hart, Roger J., Hickey, Martha, Hooning, Maartje J., Hoppe, Reiner, Hopper, John L., Hottenga, Jouke-Jan, Hu, Frank B., Huebner, Hanna, Hunter, David J., Jernström, Helena, John, Esther M., Karasik, David, Khusnutdinova, Elza K., Kristensen, Vessela N., Lacey, James V., Lambrechts, Diether, Launer, Lenore J., Lind, Penelope A., Lindblom, Annika, Magnusson, Patrik K. E., Mannermaa, Arto, McCarthy, Mark I., Meitinger, Thomas, Menni, Cristina, Michailidou, Kyriaki, Millwood, Iona Y., Milne, Roger L., Montgomery, Grant W., Nevanlinna, Heli, Nolte, Ilja M., Nyholt, Dale R., Obi, Nadia, O’Brien, Katie M., Offit, Kenneth, Oldehinkel, Albertine J., Ostrowski, Sisse R., Palotie, Aarno, Pedersen, Ole B., Peters, Annette, Pianigiani, Giulia, Plaseska-Karanfilska, Dijana, Pouta, Anneli, Pozarickij, Alfred, Radice, Paolo, Rennert, Gad, Rosendaal, Frits R., Ruggiero, Daniela, Saloustros, Emmanouil, Sandler, Dale P., Schipf, Sabine, Schmidt, Carsten O., Schmidt, Marjanka K., Small, Kerrin, Spedicati, Beatrice, Stampfer, Meir, Stone, Jennifer, Tamimi, Rulla M., Teras, Lauren R., Tikkanen, Emmi, Turman, Constance, Vachon, Celine M., Wang, Qin, Winqvist, Robert, Wolk, Alicja, Zemel, Babette S., Zheng, Wei, van Dijk, Ko W., Alizadeh, Behrooz Z., Bandinelli, Stefania, Boerwinkle, Eric, Boomsma, Dorret I., Ciullo, Marina, Chenevix-Trench, Georgia, Cucca, Francesco, Esko, Tõnu, Gieger, Christian, Grant, Struan F. A., Gudnason, Vilmundur, Hayward, Caroline, Kolčić, Ivana, Kraft, Peter, Lawlor, Deborah A., Martin, Nicholas G., Nøhr, Ellen A., Pedersen, Nancy L., Pennell, Craig E., Ridker, Paul M., Robino, Antonietta, Snieder, Harold, Sovio, Ulla, Spector, Tim D., Stöckl, Doris, Sudlow, Cathie, Timpson, Nic J., Toniolo, Daniela, Uitterlinden, André, Ulivi, Sheila, Völzke, Henry, Wareham, Nicholas J., Widen, Elisabeth, Wilson, James F., Pharoah, Paul D. P., Li, Liming, Easton, Douglas F., Njølstad, Pål R., Sulem, Patrick, Murabito, Joanne M., Murray, Anna, Manousaki, Despoina, Juul, Anders, Erikstrup, Christian, Stefansson, Kari, Horikoshi, Momoko, Chen, Zhengming, Farooqi, I. Sadaf, Pitteloud, Nelly, Johansson, Stefan, Day, Felix R., Perry, John R. B., and Ong, Ken K.

Published
2024
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46. On the Late-Time Evolution of Velocity-Dependent Self-Interacting Dark Matter Halos

Author

Gad-Nasr, Sophia, Boddy, Kimberly K., Kaplinghat, Manoj, Outmezguine, Nadav Joseph, and Sagunski, Laura

Subjects
Astrophysics - Astrophysics of Galaxies, High Energy Physics - Phenomenology
Abstract

We study the evolution of isolated self-interacting dark matter (SIDM) halos that undergo gravothermal collapse and are driven deep into the short-mean-free-path regime. We assume spherical Navarro-Frenk-White (NFW) halos as initial conditions and allow for elastic dark matter self-interactions. We discuss the structure of the halo core deep in the core-collapsed regime and how it depends on the particle physics properties of dark matter, in particular, the velocity dependence of the self-interaction cross section. We find an approximate universality deep in this regime that allows us to connect the evolution in the short- and long-mean-free-path regimes, and approximately map the velocity-dependent self-interaction cross sections to constant ones for the full gravothermal evolution. We provide a semi-analytic prescription based on our numerical results for halo evolution deep in the core-collapsed regime. Our results are essential for estimating the masses of the black holes that are likely to be left in the core of SIDM halos., Comment: 18 pages, 13 figures. Sample code available in https://github.com/Nadav-out/Gravothermal-Instability-mass, gravothermal code available in https://github.com/kboddy/GravothermalSIDM

Published
2023

47. Does complimentary information from multispectral imaging improve face presentation attack detection?

Author

Vetrekar, Narayan, Ramachandra, Raghavendra, Venkatesh, Sushma, Pawar, Jyoti D., and Gad, R. S.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Presentation Attack Detection (PAD) has been extensively studied, particularly in the visible spectrum. With the advancement of sensing technology beyond the visible range, multispectral imaging has gained significant attention in this direction. We present PAD based on multispectral images constructed for eight different presentation artifacts resulted from three different artifact species. In this work, we introduce Face Presentation Attack Multispectral (FPAMS) database to demonstrate the significance of employing multispectral imaging. The goal of this work is to study complementary information that can be combined in two different ways (image fusion and score fusion) from multispectral imaging to improve the face PAD. The experimental evaluation results present an extensive qualitative analysis of 61650 sample multispectral images collected for bonafide and artifacts. The PAD based on the score fusion and image fusion method presents superior performance, demonstrating the significance of employing multispectral imaging to detect presentation artifacts., Comment: Accepted in International IEEE Applied Sensing Conference (IEEE APSCON) 2024

Published
2023

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