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344 results on '"Hossain, Tanvir"'

1. A Persistent Hierarchical Bloom Filter-based Framework for Authentication and Tracking of ICs

Author

Shishir, Fairuz Shadmani, Rizvee, Md Mashfiq, Hossain, Tanvir, Hoque, Tamzidul, Forte, Domenic, and Shomaji, Sumaiya

Subjects
Computer Science - Cryptography and Security, Computer Science - Data Structures and Algorithms
Abstract

Detecting counterfeit integrated circuits (ICs) in unreliable supply chains demands robust tracking and authentication. Physical Unclonable Functions (PUFs) offer unique IC identifiers, but noise undermines their utility. This study introduces the Persistent Hierarchical Bloom Filter (PHBF) framework, ensuring swift and accurate IC authentication with an accuracy rate of 100% across the supply chain even with noisy PUF-generated signatures.

Published
2024

2. Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach

Author

Hossain, Tanvir, Saifuddin, Khaled Mohammed, Islam, Muhammad Ifte Khairul, Tanvir, Farhan, and Akbas, Esra

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Graph Neural Network (GNN) achieves great success for node-level and graph-level tasks via encoding meaningful topological structures of networks in various domains, ranging from social to biological networks. However, repeated aggregation operations lead to excessive mixing of node representations, particularly in dense regions with multiple GNN layers, resulting in nearly indistinguishable embeddings. This phenomenon leads to the oversmoothing problem that hampers downstream graph analytics tasks. To overcome this issue, we propose a novel and flexible truss-based graph sparsification model that prunes edges from dense regions of the graph. Pruning redundant edges in dense regions helps to prevent the aggregation of excessive neighborhood information during hierarchical message passing and pooling in GNN models. We then utilize our sparsification model in the state-of-the-art baseline GNNs and pooling models, such as GIN, SAGPool, GMT, DiffPool, MinCutPool, HGP-SL, DMonPool, and AdamGNN. Extensive experiments on different real-world datasets show that our model significantly improves the performance of the baseline GNN models in the graph classification task.

Published
2024

3. DyGCL: Dynamic Graph Contrastive Learning For Event Prediction

Author

Islam, Muhammed Ifte Khairul, Saifuddin, Khaled Mohammed, Hossain, Tanvir, and Akbas, Esra

Subjects
Computer Science - Social and Information Networks
Abstract

Predicting events such as political protests, flu epidemics, and criminal activities is crucial to proactively taking necessary measures and implementing required responses to address emerging challenges. Capturing contextual information from textual data for event forecasting poses significant challenges due to the intricate structure of the documents and the evolving nature of events. Recently, dynamic Graph Neural Networks (GNNs) have been introduced to capture the dynamic patterns of input text graphs. However, these models only utilize node-level representation, causing the loss of the global information from graph-level representation. On the other hand, both node-level and graph-level representations are essential for effective event prediction as node-level representation gives insight into the local structure, and the graph-level representation provides an understanding of the global structure of the temporal graph. To address these challenges, in this paper, we propose a Dynamic Graph Contrastive Learning (DyGCL) method for event prediction. Our model DyGCL employs a local view encoder to learn the evolving node representations, which effectively captures the local dynamic structure of input graphs. Additionally, it harnesses a global view encoder to perceive the hierarchical dynamic graph representation of the input graphs. Then we update the graph representations from both encoders using contrastive learning. In the final stage, DyGCL combines both representations using an attention mechanism and optimizes its capability to predict future events. Our extensive experiment demonstrates that our proposed method outperforms the baseline methods for event prediction on six real-world datasets.

Published
2024

4. HOACS: Homomorphic Obfuscation Assisted Concealing of Secrets to Thwart Trojan Attacks in COTS Processor

Author

Hossain, Tanvir, Showers, Matthew, Hasan, Mahmudul, and Hoque, Tamzidul

Subjects
Computer Science - Cryptography and Security
Abstract

Commercial-off-the-shelf (COTS) components are often preferred over custom Integrated Circuits (ICs) to achieve reduced system development time and cost, easy adoption of new technologies, and replaceability. Unfortunately, the integration of COTS components introduces serious security concerns. None of the entities in the COTS IC supply chain are trusted from a consumer's perspective, leading to a ''zero trust'' threat model. Any of these entities could introduce hidden malicious circuits or hardware Trojans within the component, allowing an attacker in the field to extract secret information (e.g., cryptographic keys) or cause a functional failure. Existing solutions to counter hardware Trojans are inapplicable in such a zero-trust scenario as they assume either the design house or the foundry to be trusted and consider the design to be available for either analysis or modification. In this work, we have proposed a software-oriented countermeasure to ensure the confidentiality of secret assets against hardware Trojans that can be seamlessly integrated in existing COTS microprocessors. The proposed solution does not require any supply chain entity to be trusted and does not require analysis or modification of the IC design. To protect secret assets in an untrusted microprocessor, the proposed method leverages the concept of residue number coding (RNC) to transform the software functions operating on the asset to be fully homomorphic. We have implemented the proposed solution to protect the secret key within the Advanced Encryption Standard (AES) program and presented a detailed security analysis. We also have developed a plugin for the LLVM compiler toolchain that automatically integrates the solution in AES. Finally, we compare the execution time overhead of the operations in the RNC-based technique with comparable homomorphic solutions and demonstrate significant improvement.

Published
2024

5. HeTriNet: Heterogeneous Graph Triplet Attention Network for Drug-Target-Disease Interaction

Author

Tanvir, Farhan, Saifuddin, Khaled Mohammed, Hossain, Tanvir, Bagavathi, Arunkumar, and Akbas, Esra

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Quantitative Biology - Biomolecules
Abstract

Modeling the interactions between drugs, targets, and diseases is paramount in drug discovery and has significant implications for precision medicine and personalized treatments. Current approaches frequently consider drug-target or drug-disease interactions individually, ignoring the interdependencies among all three entities. Within human metabolic systems, drugs interact with protein targets in cells, influencing target activities and subsequently impacting biological pathways to promote healthy functions and treat diseases. Moving beyond binary relationships and exploring tighter triple relationships is essential to understanding drugs' mechanism of action (MoAs). Moreover, identifying the heterogeneity of drugs, targets, and diseases, along with their distinct characteristics, is critical to model these complex interactions appropriately. To address these challenges, we effectively model the interconnectedness of all entities in a heterogeneous graph and develop a novel Heterogeneous Graph Triplet Attention Network (\texttt{HeTriNet}). \texttt{HeTriNet} introduces a novel triplet attention mechanism within this heterogeneous graph structure. Beyond pairwise attention as the importance of an entity for the other one, we define triplet attention to model the importance of pairs for entities in the drug-target-disease triplet prediction problem. Experimental results on real-world datasets show that \texttt{HeTriNet} outperforms several baselines, demonstrating its remarkable proficiency in uncovering novel drug-target-disease relationships., Comment: 13 pages, 3 figures, 6 tables

Published
2023

6. RAB7 deficiency impairs pulmonary artery endothelial function and promotes pulmonary hypertension

Author

Piper, Bryce, Bogamuwa, Srimathi, Hossain, Tanvir, Farkas, Daniela, Rosas, Lorena, Green, Adam C, Newcomb, Geoffrey, Sun, Nuo, Ovando-Ricardez, Jose A, Horowitz, Jeffrey C, Bhagwani, Aneel R, Yang, Hu, Kudryashova, Tatiana V, Rojas, Mauricio, Mora, Ana L, Yan, Pearlly, Mallampalli, Rama K, Goncharova, Elena A, Eckmann, David M, and Farkas, Laszlo

Subjects
Biochemistry and Cell Biology, Medical Physiology, Biomedical and Clinical Sciences, Biological Sciences, Lung, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Animals, Humans, Mice, Rats, Familial Primary Pulmonary Hypertension, Hypertension, Pulmonary, Hypoxia, Pulmonary Artery, Autophagy, Cellular senescence, Endothelial cells, Pulmonology, Medical and Health Sciences, Immunology, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Pulmonary arterial hypertension (PAH) is a devastating and progressive disease with limited treatment options. Endothelial dysfunction plays a central role in the development and progression of PAH, yet the underlying mechanisms are incompletely understood. The endosome-lysosome system is important to maintain cellular health, and the small GTPase RAB7 regulates many functions of this system. Here, we explored the role of RAB7 in endothelial cell (EC) function and lung vascular homeostasis. We found reduced expression of RAB7 in ECs from patients with PAH. Endothelial haploinsufficiency of RAB7 caused spontaneous pulmonary hypertension (PH) in mice. Silencing of RAB7 in ECs induced broad changes in gene expression revealed via RNA-Seq, and RAB7-silenced ECs showed impaired angiogenesis and expansion of a senescent cell fraction, combined with impaired endolysosomal trafficking and degradation, suggesting inhibition of autophagy at the predegradation level. Furthermore, mitochondrial membrane potential and oxidative phosphorylation were decreased, and glycolysis was enhanced. Treatment with the RAB7 activator ML-098 reduced established PH in rats with chronic hypoxia/SU5416. In conclusion, we demonstrate for the first time to our knowledge the fundamental impairment of EC function by loss of RAB7, causing PH, and show RAB7 activation to be a potential therapeutic strategy in a preclinical model of PH.

Published
2024

9. Tackling Oversmoothing in GNN via Graph Sparsification

Author

Hossain, Tanvir, Saifuddin, Khaled Mohammed, Islam, Muhammad Ifte Khairul, Tanvir, Farhan, Akbas, Esra, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bifet, Albert, editor, Daniušis, Povilas, editor, Davis, Jesse, editor, Krilavičius, Tomas, editor, Kull, Meelis, editor, Ntoutsi, Eirini, editor, Puolamäki, Kai, editor, and Žliobaitė, Indrė, editor

Published
2024
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10. Energy and Time Based Topology Control Approach to Enhance the Lifetime of WSN in an economic zone

Author

Hossain, Tanvir, Haque, Md. Ershadul, Mamun, Abdullah Al, Hoque, Samiul Ul, and Fahim, Al Amin

Subjects
Computer Science - Networking and Internet Architecture, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Information Theory
Abstract

An economic zone requires continuous monitoring and controlling by an autonomous surveillance system for heightening its production competency and security. Wireless sensor network (WSN) has swiftly grown popularity over the world for uninterruptedly monitoring and controlling a system. Sensor devices, the main elements of WSN, are given limited amount of energy, which leads the network to limited lifespan. Therefore, the most significant challenge is to increase the lifespan of a WSN system. Topology control mechanism (TCM) is a renowned method to enhance the lifespan of WSN. This paper proposes an approach to extend the lifetime of WSN for an economic area, targeting an economic zone in Bangladesh. Observations are made on the performance of the network lifetime considering the individual combinations of the TCM protocols and comparative investigation between the time and energy triggering strategy of TCM protocols. Results reveal the network makes a better performance in the case of A3 protocol while using the topology maintenance protocols with both time and energy triggering methods. Moreover, the performance of the A3 and DGETRec is superior to the other combinations of TCM protocols. Hence, the WSN system can be able to serve better connectivity coverage in the target economic zone., Comment: 14 pages, 10 figures

Published
2022

15. Mobility in immersed granular materials upon cyclic loading

Author

Hossain, Tanvir and Rognon, Pierre

Subjects
Condensed Matter - Soft Condensed Matter
Abstract

We study the mobility of objects embedded in an immersed granular packing and subjected to cyclic loadings. In this aim, we conducted experiments using glass beads immersed in water and a horizontal plate subjected to a cyclic uplift force. Tests performed at different cyclic force frequencies and amplitudes evidence the development of three mobility regimes whereby the plate stays virtually immobile, moves up steadily or slowly creeps upwards. Results show that steady plate uplift can occur at lower force magnitudes when the frequency is increased. We propose an interpretation of this frequency-weakening behaviour based on force relaxation experiments and on the analysis of the mobility response of theoretical visco-elasto-plastic mechanical analogue. These results and analysis point out inherent differences in mobility response between steady and cyclic loadings in immersed granular materials., Comment: This paper has been submitted to 'Physical Review E' journal on 7 May 2020

Published
2020
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16. Drag force in immersed granular materials

Author

Hossain, Tanvir and Rognon, Pierre

Subjects
Condensed Matter - Soft Condensed Matter
Abstract

We investigate the drag forces acting on large objects moving through a granular packing immersed in water. In this aim, we conducted uplift experiments involving pulling out horizontal plates at a prescribed velocity vertically. During these tests, we observed that the drag force reaches to peak at a low displacement and then decays. Results show that the peak drag force strongly increases with the velocity and depends on the plate size and grain diameter. We identify empirical scaling laws for these properties and introduce a Darcy-flow mechanism that can explain them. Furthermore, we conducted tests involving suddenly stopping the motion of the plate, which evidenced a progressive relaxation of the drag force in time. We discuss how a visco-elasto-plastic mechanical analogue can reproduce these dynamics. These results and analyses highlight fundamental differences in drag force between dry and immersed granular materials., Comment: This paper has been submitted to Journal of 'Physical Review Fluid (PRF)'

Published
2020

22. Incidence of typhoid and paratyphoid fever in Bangladesh, Nepal, and Pakistan: results of the Surveillance for Enteric Fever in Asia Project

Author

Garrett, Denise O, Longley, Ashley T, Aiemjoy, Kristen, Yousafzai, Mohammad T, Hemlock, Caitlin, Yu, Alexander T, Vaidya, Krista, Tamrakar, Dipesh, Saha, Shampa, Bogoch, Isaac I, Date, Kashmira, Saha, Senjuti, Islam, Mohammad Shahidul, Sayeed, K M Ishtiaque, Bern, Caryn, Shakoor, Sadia, Dehraj, Irum F, Mehmood, Junaid, Sajib, Mohammad S I, Islam, Maksuda, Thobani, Rozina S, Hotwani, Aneeta, Rahman, Najeeb, Irfan, Seema, Naga, Shiva R, Memon, Ashraf M, Pradhan, Sailesh, Iqbal, Khalid, Shrestha, Rajeev, Rahman, Hafizur, Hasan, Md Mahmudul, Qazi, Saqib H, Kazi, Abdul M, Saddal, Nasir S, Jamal, Raza, Hunzai, Mohammed J, Hossain, Tanvir, Marks, Florian, Carter, Alice S, Seidman, Jessica C, Qamar, Farah N, Saha, Samir K, Andrews, Jason R, and Luby, Stephen P

Published
2022
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25. An Analytical Study of Influencing Factors on Consumers’ Behaviors in Facebook Using ANN and RF

Author

Hossain, Shahadat, Hasan, Md. Manzurul, Hossain, Tanvir, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Vasant, Pandian, editor, Zelinka, Ivan, editor, and Weber, Gerhard-Wilhelm, editor

Published
2021
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26. Assessment of the validity of the measurement of newborn and maternal health-care coverage in hospitals (EN-BIRTH): an observational study

Author

Serbanescu, Florina, Amouzou, Agbessi, Sæbø, Johan Ivar, Mathai, Matthews, Rawlins, Barbara, Azim, Tariq, Vaz, Lara, Monet, Jean-Pierre, Jackson, Debra, Requejo, Jennifer, Ram, Pavani K, Moran, Allisyn C, Kabuteni, Theopista John, Mazumder, Tapas, Rahman, Hafizur, Shaikh, Ziaul Haque, Talha, Taqbir Us Samad, Haider, Rajib, Siddika, Aysha, Sumi, Taslima Akter, Khan, Jasmin, Biswas, Bilkish, Mannan, M A, Hasanuzzaman, Abu, Ali, Ayub, Jahan, Rowshan Hosne, Hossain, Amir, Jahan, Ishrat, Gurung, Rejina, Sunny, Avinash K, Thakur, Nishant, Ghimire, Jagat Jeevan, Joshi, Elisha, Shrestha, Parashu Ram, Shrestha, Shree Krishna, Singh, Dela, Rana, Nisha, Mrisho, Mwifadhi, Manzi, Fatuma, Hanson, Claudia, Kija, Edward, Pembe, Andrea, Kisenge, Rodrick, Manji, Karim, Mkopi, Namala, Assenga, Evelyne, Blencowe, Hannah, Moxon, Sarah G, KC, Naresh P, Day, Louise Tina, Sadeq-ur Rahman, Qazi, Ehsanur Rahman, Ahmed, Salim, Nahya, KC, Ashish, Ruysen, Harriet, Tahsina, Tazeen, Masanja, Honorati, Basnet, Omkar, Gore-Langton, Georgia R, Zaman, Sojib Bin, Shabani, Josephine, Jha, Anjani Kumar, Gordeev, Vladimir Sergeevich, Ameen, Shafiqul, Shamba, Donat, Jha, Bijay, Boggs, Dorothy, Hossain, Tanvir, Shirima, Kizito, Bastola, Ram Chandra, Peven, Kimberly, Siddique, Abu Bakkar, Mbaruku, Godfrey, Paudel, Rajendra, Baschieri, Angela, Hossain, Aniqa Tasnim, Kong, Stefanie, Paudel, Asmita, Ahmed, Anisuddin, Cousens, Simon, El Arifeen, Shams, and Lawn, Joy E

Published
2021
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29. Tensile properties of banana fiber reinforced recycled high‐density polyethylene composites: An experimental investigation.

Author

Syduzzaman, Md., Akter, Mahin, Mahmud, Foysal, Bhowmick, Diti Rani, Maliha, Afia Sultana, Fahmi, Fahmida Faiza, Hossain, Tanvir, and Ahamed, Md. Ahasan

Subjects
NATURAL fibers, HIGH density polyethylene, FIBER orientation, FIBER-reinforced plastics, FIBROUS composites, TAGUCHI methods, POLYETHYLENE
Abstract

Natural fiber‐reinforced polymer composites (NFRCs) are increasingly favored over synthetic fiber‐reinforced alternatives due to their beneficial properties and environmental sustainability. Mechanical properties of composites are critical to ensure optimized utilization of NFRCs. Here, this research explores the effects of different fiber parameters on the tensile strength of high‐density polymer composites reinforced with banana fiber and utilizes the Taguchi method for both experimental and statistical analysis of the outcomes. Three different parameters are considered here: weight fractions, fiber orientation angle, and plasma treatment to fabricate the composites using the compression molding process. Taguchi analysis revealed that fiber orientation angle has the greatest influence among the three variables, with plasma treatment and weight fraction following in impact on tensile strength. The composite that exhibited the highest tensile strength was determined to have a weight fraction of 10%, a fiber orientation angle of 90°, and a plasma treatment period of 5 min. This combination yielded a strength of 30.351 MPa. The analysis of the interaction between any two factors was done using contour plots. In order to compare the experimental tensile strength values with the anticipated values derived from the regression equation, regression analysis was carried out. Highlights: Composites were made up of recycled HDPE (rHDPE) from plastic bottles using a compression molding technique.The Taguchi method is applied to achieve an experimental design employing an L4 orthogonal array.Contour plot analysis is conducted to identify points of minimum and maximum responses, as anticipated from the results.Tensile strength was optimized to a maximum of 30.351 MPa. [ABSTRACT FROM AUTHOR]

Published
2024
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32. RAB7 deficiency impairs pulmonary artery endothelial function and promotes pulmonary hypertension

Author

Piper, Bryce, primary, Bogamuwa, Srimathi, additional, Hossain, Tanvir, additional, Farkas, Daniela, additional, Rosas, Lorena, additional, Green, Adam C., additional, Newcomb, Geoffrey, additional, Sun, Nuo, additional, Ovando-Ricardez, Jose A., additional, Horowitz, Jeffrey C., additional, Bhagwani, Aneel R., additional, Yang, Hu, additional, Kudryashova, Tatiana V., additional, Rojas, Mauricio, additional, Mora, Ana L., additional, Yan, Pearlly, additional, Mallampalli, Rama K., additional, Goncharova, Elena A., additional, Eckmann, David M., additional, and Farkas, Laszlo, additional

Published
2023
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33. Analytical treatment interruption: detection of an increase in the latent, inducible HIV-1 reservoir more than a decade after viral resuppression

Author

Lungu, Cynthia, primary, Hossain, Tanvir, additional, Prins, Henrieke A.B., additional, Hensley, Kathryn S., additional, Crespo, Raquel, additional, Rokx, Casper, additional, Rao, Shringar, additional, van Kampen, Jeroen J.A., additional, van de Vijver, David A.M.C., additional, Mesplede, Thibault, additional, Katsikis, Peter D., additional, Mueller, Yvonne M., additional, Gruters, Rob A., additional, and Mahmoudi, Tokameh, additional

Published
2023
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34. Labour and delivery ward register data availability, quality, and utility - Every Newborn - birth indicators research tracking in hospitals (EN-BIRTH) study baseline analysis in three countries

Author

Day, Louise Tina, Gore-Langton, Georgia R., Rahman, Ahmed Ehsanur, Basnet, Omkar, Shabani, Josephine, Tahsina, Tazeen, Poudel, Asmita, Shirima, Kizito, Ameen, Shafiqul, K.C., Ashish, Salim, Nahya, Zaman, Sojib Bin, Shamba, Donat, Blencowe, Hannah, Ruysen, Harriet, El Arifeen, Shams, Boggs, Dorothy, Gordeev, Vladimir S., Rahman, Qazi Sadeq-ur, Hossain, Tanvir, Joshi, Elisha, Thapa, Sabu, Poudel, Rajendra Prasad, Poudel, Durga, Chaudhary, Priyanka, Karki, Rabina, Chitrakar, Bibek, Mkopi, Namala, Wisiko, Anna, Kitende, Alodear Patrick, Shirati, Marystella Revocatus, Chingalo, Christostomus, Semhando, Amina Omari, Mtei, Cleopatra, Mwenisongole, Victoria, Bakuza, John Mathias, Kombo, Japhet, Mbaruku, Godfrey, and Lawn, Joy E.

Published
2020
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40. Contributors

Author

Abnous, Khalil, primary, Ahmed, Shamim, additional, Alibolandi, Mona, additional, Ashraf, Kayesh, additional, Azad, Mohammad, additional, Badruddoza, Abu Zayed Md, additional, Bai, Renu Geetha, additional, Charbgoo, Fahimeh, additional, Chen, Wen-Hao, additional, Chepyala, Ramchander, additional, Chowdhury, Mohammed Mehadi Hassan, additional, Debnath, Trishna, additional, Haque, Enamul, additional, Hasan, Mohammad Nazmul, additional, Hilal-Alnaqbi, Ali, additional, Hossain, Tanvir, additional, Huang, Chen-Han, additional, Sina, Abu Ali Ibn, additional, Islam, Tamanna, additional, Kanwar, Rupinder K., additional, Kanwar, Jagat R., additional, Kim, Eun-Kyung, additional, Kubra, Khadizatul, additional, Lee, Yong-kyu, additional, Lin, Hsing-Ying, additional, Liongue, Clifford, additional, Hasan, Md. Mahedi, additional, McCarthy, Jason R., additional, Nafiujjaman, Md, additional, Nath, Narayan Chandra Deb, additional, Nejabat, Mojgan, additional, Nurunnabi, Md, additional, Parvez, Khaled, additional, Rahman, Mehbuba, additional, Ramezani, Mohammad, additional, Rashid, Mamoon, additional, Revuri, Vishnu, additional, Roni, Monzurul Amin, additional, Ahammad, A.J. Saleh, additional, Syfuddin, H.M., additional, Taghdisi, Seyed Mohammad, additional, and Ward, Alister C., additional

Published
2019
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45. The BAF complex inhibitor pyrimethamine reverses HIV-1 latency in people with HIV-1 on antiretroviral therapy

Author

Prins, Henrieke A. B., primary, Crespo, Raquel, additional, Lungu, Cynthia, additional, Rao, Shringar, additional, Li, Letao, additional, Overmars, Ronald J., additional, Papageorgiou, Grigorius, additional, Mueller, Yvonne M., additional, Stoszko, Mateusz, additional, Hossain, Tanvir, additional, Kan, Tsung Wai, additional, Rijnders, Bart J. A., additional, Bax, Hannelore I., additional, van Gorp, Eric C. M., additional, Nouwen, Jan L., additional, de Vries-Sluijs, Theodora E. M. S., additional, Schurink, Carolina A. M., additional, de Mendonça Melo, Mariana, additional, van Nood, Els, additional, Colbers, Angela, additional, Burger, David, additional, Palstra, Robert-Jan, additional, van Kampen, Jeroen J. A., additional, van de Vijver, David A. M. C., additional, Mesplède, Thibault, additional, Katsikis, Peter D., additional, Gruters, Rob A., additional, Koch, Birgit C. P., additional, Verbon, Annelies, additional, Mahmoudi, Tokameh, additional, and Rokx, Casper, additional

Published
2023
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46. The BAF complex inhibitor pyrimethamine reverses HIV-1 latency in people with HIV-1 on antiretroviral therapy

Author

Prins, Henrieke A.B., Crespo, Raquel, Lungu, Cynthia, Rao, Shringar, Li, Letao, Overmars, Ronald J., Papageorgiou, Grigorius, Mueller, Yvonne M., Stoszko, Mateusz, Hossain, Tanvir, Kan, Tsung Wai, Rijnders, Bart J.A., Bax, Hannelore I., van Gorp, Eric C.M., Nouwen, Jan L., de Vries-Sluijs, Theodora E.M.S., Schurink, Carolina A.M., de Mendonça Melo, Mariana, van Nood, Els, Colbers, Angela, Burger, David, Palstra, Robert Jan, van Kampen, Jeroen J.A., van de Vijver, David A.M.C., Mesplède, Thibault, Katsikis, Peter D., Gruters, Rob A., Koch, Birgit C.P., Verbon, Annelies, Mahmoudi, Tokameh, Rokx, Casper, Prins, Henrieke A.B., Crespo, Raquel, Lungu, Cynthia, Rao, Shringar, Li, Letao, Overmars, Ronald J., Papageorgiou, Grigorius, Mueller, Yvonne M., Stoszko, Mateusz, Hossain, Tanvir, Kan, Tsung Wai, Rijnders, Bart J.A., Bax, Hannelore I., van Gorp, Eric C.M., Nouwen, Jan L., de Vries-Sluijs, Theodora E.M.S., Schurink, Carolina A.M., de Mendonça Melo, Mariana, van Nood, Els, Colbers, Angela, Burger, David, Palstra, Robert Jan, van Kampen, Jeroen J.A., van de Vijver, David A.M.C., Mesplède, Thibault, Katsikis, Peter D., Gruters, Rob A., Koch, Birgit C.P., Verbon, Annelies, Mahmoudi, Tokameh, and Rokx, Casper

Abstract

Reactivation of the latent HIV-1 reservoir is a first step toward triggering reservoir decay. Here, we investigated the impact of the BAF complex inhibitor pyrimethamine on the reservoir of people living with HIV-1 (PLWH). Twenty-eight PLWH on suppressive antiretroviral therapy were randomized (1:1:1:1 ratio) to receive pyrimethamine, valproic acid, both, or no intervention for 14 days. The primary end point was change in cell-associated unspliced (CA US) HIV-1 RNA at days 0 and 14. We observed a rapid, modest, and significant increase in (CA US) HIV-1 RNA in response to pyrimethamine exposure, which persisted throughout treatment and follow-up. Valproic acid treatment alone did not increase (CA US) HIV-1 RNA or augment the effect of pyrimethamine. Pyrimethamine treatment did not result in a reduction in the size of the inducible reservoir. These data demonstrate that the licensed drug pyrimethamine can be repurposed as a BAF complex inhibitor to reverse HIV-1 latency in vivo in PLWH, substantiating its potential advancement in clinical studies.

Published
2023

47. Preoperative risk factors for conversion from laparoscopic to open cholecystectomy: a validated risk score derived from a prospective U.K. database of 8820 patients

Author

Fenwick, Stephen, Elmasry, Mohamed, Nunes, Quentin, Kennedy, David, Khan, Raja B., Khan, Muhammad A.S., Magee, Conor J., Jones, Steven M., Mason, Denise, Parappally, Ciny P., Mathur, Pawan, Saunders, Michael, Jamel, Sara, Haque, Samer U.l., Zafar, Sara, Shiwani, Muhammad H., Samuel, Nehemiah, Dar, Farooq, Jackson, Andrew, Lovett, Bryony, Dindyal, Shiva, Winter, Hannah, Rahman, Saquib, Wheatley, Kevin, Nieto, Tom, Ayaani, Soofiyah, Youssef, Haney, Nijjar, Rajwinder S., Watkin, Helen, Naumann, David, Emeshi, Sophie, Sarmah, Piyush B., Lee, Kathryn, Joji, Nikita, Heath, Jonathan, Teasdale, Rebecca L., Weerasinghe, Chamindri, Needham, Paul J., Welbourn, Hannah, Forster, Luke, Finch, David, Blazeby, Jane M., Robb, William, McNair, Angus G.K., Hrycaiczuk, Alex, Charalabopoulos, Alexandros, Kadirkamanathan, Sritharan, Tang, Cheuk-Bong, Jayanthi, Naga V.G., Noor, Nigel, Dobbins, Brian, Cockbain, Andrew J., Nilsen-Nunn, April, de Siqueira, Jonathan, Pellen, Mike, Cowley, Jonathan B., Ho, Wei-Min, Miu, Victor, White, Timothy J., Hodgkins, Kathryn A., Kinghorn, Alison, Tutton, Matthew G., Al-Abed, Yahya A., Menzies, Donald, Ahmad, Anwar, Reed, Joanna, Khan, Shabuddin, Monk, David, Vitone, Louis J., Murtaza, Ghulam, Joel, Abraham, Brennan, Stephen, Shier, David, Zhang, Catherine, Yoganathan, Thusidaran, Robinson, Steven J., McCallum, Iain J.D., Jones, Michael J., Elsayed, Mohammed, Tuck, Liz, Wayman, John, Carney, Kate, Aroori, Somaiah, Hosie, Kenneth B., Kimble, Adam, Bunting, David M., Fawole, Adeshina S., Basheer, Mohammed, Dave, Rajiv V., Sarveswaran, Janahan, Jones, Elinor, Kendal, Chris, Tilston, Michael P., Gough, Martin, Wallace, Tom, Singh, Shailendra, Downing, Justine, Mockford, Katherine A., Issa, Eyad, Shah, Nayab, Chauhan, Neal, Wilson, Timothy R., Forouzanfar, Amir, Wild, Jonathan R.L., Nofal, Emma, Bunnell, Catherine, Madbak, Khaliel, Rao, Sudhindra T.V., Devoto, Laurence, Siddiqi, Najaf, Khawaja, Zechan, Hewes, James C., Gould, Laura, Chambers, Alice, Rodriguez, Daniel U., Sen, Gourab, Robinson, Stuart, Bartlett, Francis, Rae, David M., Stevenson, Thomas E.J., Sarvananthan, Kas, Dwerryhouse, Simon J., Higgs, Simon M., Old, Oliver J., Hardy, Thomas J., Shah, Reena, Hornby, Steve T., Keogh, Ken, Frank, Lucinda, Al-Akash, Musallam, Upchurch, Emma A., Frame, Richard J., Hughes, Michael, Jelley, Clare, Weaver, Simon, Roy, Sudipta, Sillo, Toritseju O., Galanopoulos, Giorgios, Cuming, Tamzin, Cunha, Pedro, Tayeh, Salim, Kaptanis, Sarantos, Heshaishi, Mohamed, Eisawi, Abdalla, Abayomi, Michael, Ngu, Wee S., Fleming, Katie, Bajwa, Dalvir S., Chitre, Vivek, Aryal, Kamal, Ferris, Paul, Silva, Michael, Lammy, Simon, Mohamed, Sarah, Khawaja, Amir, Hussain, Adnan, Ghazanfar, Mudassar A., Bellini, Maria I., Ebdewi, Hamdi, Elshaer, Mohamed, Gravante, Gianpiero, Drake, Benjamin, Ogedegbe, Arikoge, Mukherjee, Dipankar, Arhi, Chanpreet, Giwa, Lola, Iqbal, Nusrat, Watson, Nicholas F., Aggarwal, Smeer K., Orchard, Philippa, Villatoro, Eduardo, Willson, Peter D., Mok, Kam W.J., Woodman, Thomas, Deguara, Jean, Garcea, Giuseppe, Babu, Benoy I., Dennison, Alistair R., Malde, Deep, Lloyd, David, Slavin, John P., Jones, Robert P., Ballance, Laura, Gerakopoulos, Stratos, Jambulingam, Periyathambi, Mansour, Sami, Sakai, Naomi, Acharya, Vikas, Sadat, Mohammed M., Karim, Lawen, Larkin, David, Amin, Khalid, Khan, Amarah, Law, Jennifer, Jamdar, Saurabh, Smith, Stella R., Sampat, Keerthika, O'shea, Kathryn M., Manu, Mangta, Asprou, Fotini M., Malik, Nabeela S., Chang, Jessica, Johnstone, Marianne, Lewis, Michael, Roberts, Geoffrey P., Karavadra, Babu, Photi, Evangelos, Hewes, James, Rodriguez, Dan, O'Reilly, Derek A., Rate, Anthony J., Sekhar, Hema, Henderson, Lucy T., Starmer, Benjamin Z., Coe, Peter O., Tolofari, Sotonye, Barrie, Jenifer, Bashir, Gareth, Sloane, Jake, Madanipour, Suroosh, Halkias, Constantine, Trevatt, Alexander E.J., Borowski, David W., Hornsby, Jane, Courtney, Michael J., Virupaksha, Suvi, Seymour, Keith, Robinson, Sarah, Hawkins, Helen, Bawa, Sadiq, Gallagher, Paul V., Reid, Alistair, Wood, Peter, Finch, Jonathan G., Finch, J.Guy, Parmar, Jitesh, Stirland, Euan, Gardner-Thorpe, James, Al-Muhktar, Ahmed, Peterson, Mark, Majeed, Ali, Bajwa, Farrukh M., Martin, Jack, Choy, Alfred, Tsang, Andrew, Pore, Naresh, Andrew, David R., Al-Khyatt, Waleed, Santosh Bhandari, Christopher Taylor, Chambers, Adam, Subramanium, Dhivya, Toh, Simon K.C., Carter, Nicholas C., Mercer, Stuart J., Knight, Benjamin, Vijay, Vardhini, Alagaratnam, Swethan, Sinha, Sidhartha, Khan, Shahab, El-Hasani, Shamsi S., Hussain, Abdulzahra A., Bhattacharya, Vish, Kansal, Nisheeth, Fasih, Tani, Jackson, Claire, Siddiqui, Midhat N., Chishti, Imran A., Fordham, Imogen J., Siddiqui, Zohaib, Bausbacher, Harald, Geogloma, Ileana, Gurung, Kabita, Tsavellas, George, Basynat, Pradeep, Shrestha, Ashish K., Basu, Sanjoy, Chhabra, Alok, Harilingam, Mohan, Rabie, Mohamed, Akhtar, Mansoor, Kumar, Pradeep, Jafferbhoy, Sadaf F., Hussain, Najam, Raza, Soulat, Haque, Manzarul, Alam, Imran, Aseem, Rabiya, Patel, Shakira, Asad, Mehek, Booth, Michael I., Ball, William R., Wood, Christopher P.J., Pinho-Gomes, Ana C., Kausar, Ambareen, Obeidallah, Mohammed, Varghase, Joseph, Lodhia, Joshil, Bradley, Donal, Rengifo, Carla, Lindsay, David, Gopalswamy, Sivakumar, Finlay, Ian, Wardle, Stacy, Bullen, Naomi, Iftikhar, Syed Y., Awan, Altaf, Ahmed, Javed, Leeder, Paul, Fusai, Guiseppe, Bond-Smith, Giles, Psica, Alicja, Puri, Yogesh, Hou, David, Noble, Fergus, Szentpali, Karoly, Broadhurst, Jack, Date, Ravindra, Hossack, Martin R., Goh, Yan L., Turner, Paul, Shetty, Vinutha, Riera, Manel, Macano, Christina A.W., Sukha, Anisha, Preston, Shaun R., Hoban, Jennifer R., Puntis, Daniel J., Williams, Sophie V., Krysztopik, Richard, Kynaston, James, Batt, Jeremy, Doe, Matthew, Goscimski, Andrzej, Jones, Gareth H., Hall, Claire, Carty, Nick, Ahmed, Jamil, Panteleimonitis, Sofoklis, Gunasekera, Rohan T., Sheel, Andrea R.G., Lennon, Hannah, Hindley, Caroline, Reddy, Marcus, Kenny, Ross, Elkheir, Natalie, McGlone, Emma R., Rajaganeshan, Rajasundaram, Hancorn, Kate, Hargreaves, Anita, Prasad, Raj, Longbotham, David A., Vijayanand, Dhakshinamoorthy, Wijetunga, Imeshi, Ziprin, Paul, Nicolay, Christopher R., Yeldham, Geoffrey, Read, Edward, Gossage, James A., Rolph, Rachel C., Ebied, Husam, Phull, Manraj, Khan, Mohammad A., Popplewell, Matthew, Kyriakidis, Dimitrios, Hussain, Anwar, Henley, Natasha, Packer, Jessica R., Derbyshire, Laura, Porter, Jonathan, Appleton, Shaun, Farouk, Marwan, Basra, Melvinder, Jennings, Neil A., Ali, Shahda, Kanakala, Venkatesh, Ali, Haythem, Lane, Risha, Dickson-Lowe, Richard, Zarsadias, Prizzi, Mirza, Darius, Puig, Sonia, Al Amari, Khalid, Vijayan, Deepak, Sutcliffe, Robert, Marudanayagam, Ravi, Hamady, Zayed, Prasad, Abheesh R., Patel, Abhilasha, Durkin, Damien, Kaur, Parminder, Bowen, Laura, Byrne, James P., Pearson, Katherine L., Delisle, Theo G., Davies, James, Tomlinson, Mark A., Johnpulle, Michelle A., Slawinski, Corinna, Macdonald, Andrew, Nicholson, James, Newton, Katy, Mbuvi, James, Farooq, Ansar, Mothe, Bhavani S., Zafrani, Zakhi, Brett, Daniel, Francombe, James, Spreadborough, Philip, Barnes, James, Cheung, Melanie, Al-Bahrani, Ahmed Z., Preziosi, Giuseppe, Urbonas, Tomas, Alberts, Justin, Mallik, Mekhlola, Patel, Krashna, Segaran, Ashvina, Doulias, Triantafyllos, Sufi, Pratik A., Yao, Caroline, Pollock, Sarah, Manzelli, Antonio, Wajed, Saj, Kourkulos, Michail, Pezzuto, Roberto, Wadley, Martin, Hamilton, Emma, Jaunoo, Shameen, Padwick, Robert, Sayegh, Mazin, Newton, Richard C., Hebbar, Madhusoodhana, Farag, Sameh F., Hebbar, Madhu, Spearman, John, Hamdan, Mohammed F., D'Costa, Conrad, Blane, Christine, Giles, Mathew, Peter, Mark B., Hirst, Natalie A., Hossain, Tanvir, Pannu, Arslan, El-Dhuwaib, Yesar, Morrison, Tamsin E.M., Taylor, Greg W., Thompson, Ronald L.E., McCune, Ken, Loughlin, Paula, Lawther, Roger, Byrnes, Colman K., Simpson, Duncan J., Mawhinney, Abi, Warren, Conor, McKay, Damian, McIlmunn, Colin, Martin, Serena, MacArtney, Matthew, Diamond, Tom, Davey, Phil, Jones, Claire, Clements, Joshua M., Digney, Ruairi, Chan, Wei M., McCain, Stephen, Gull, Sadaf, Janeczko, Adam, Dorrian, Emmet, Harris, Andrew, Dawson, Suzanne, Johnston, Dorothy, McAree, Barry, Ghareeb, Essam, Thomas, George, Connelly, Martin, McKenzie, Stephen, Cieplucha, Krzysztos, Spence, Gary, Campbell, William, Hooks, Gareth, Bradley, Neil, Hill, Arnold D.K., Cassidy, John T., Boland, Michael, Burke, Paul, Nally, Deirdre M., Khogali, Elmoataz, Shabo, Wael, Iskandar, Edrin, McEntee, Gerry P., O'Neill, Maeve A., Peirce, Colin, Lyons, Emma M., O'Sullivan, Adrian W., Thakkar, Rohan, Carroll, Paul, Ivanovski, Ivan, Balfe, Paul, Lee, Matthew, Winter, Des C., Kelly, Michael E., Hoti, Emir, Maguire, Donal, Karunakaran, Priyadarssini, Geoghegan, Justin G., Martin, Sean T., Cross, Keith S., Cooke, Fiachra, Zeeshan, Saquib, Murphy, James O., Mealy, Ken, Mohan, Helen M., Nedujchelyn, Yuwaraja, Ullah, Muhammad F., Ahmed, Irfan, Giovinazzo, Francesco, Milburn, James, Prince, Sarah, Brooke, Eleanor, Buchan, Joanna, Khalil, Ahmed M., Vaughan, Elizabeth M., Ramage, Michael I., Aldridge, Roland C., Gibson, Simon, Nicholson, Gary A., Vass, David G., Grant, Alan J., Holroyd, David J., Jones, Angharad, Sutton, Cherith M.L.R., O'Dwyer, Patrick, Nilsson, Frida, Weber, Beatrix, Williamson, Tracey K., Lalla, Kushik, Bryant, Alice, Carter, Ross, Forrest, Craig R., Hunter, David I., Nassar, Ahmad H., Orizu, Mavis N., Knight, Katrina, Qandeel, Haitham, Suttie, Stuart, Belding, Rowena, McClarey, Andrew, Boyd, Alan T., Guthrie, Graeme J.K., Lim, Pei J., Luhmann, Andreas, Watson, Angus J.M., Richards, Colin H., Nicol, Laura, Madurska, Marta, Harrison, Ewen, Boyce, Kathryn M., Roebuck, Amanda, Ferguson, Graeme, Pati, Pradeep, Wilson, Michael S.J., Dalgaty, Faith, Fothergill, Laura, Driscoll, Peter J., Mozolowski, Kirsty L., Banwell, Victoria, Bennett, Stephen P., Rogers, Paul N., Skelly, Brendan L., Rutherford, Claire L., Mirza, Ahmed K., Lazim, Taha, Lim, Henry C.C., Duke, Diana, Ahmed, Talat, Beasley, William D., Wilkinson, Marc D., Maharaj, Geta, Malcolm, Cathy, Brown, Timothy H., Shingler, Guy M., Mowbray, Nicholas, Radwan, Rami, Morcous, Paul, Wood, Simon, Kadhim, Abbas, Stewart, Duncan J., Baker, Andrew L., Tanner, Nicola, Shenoy, Hrishikesh, Sutcliffe, Robert P., Hollyman, Marianne, Hodson, James, Bonney, Glenn, Vohra, Ravi S., and Griffiths, Ewen A.

Published
2016
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48. Statistical Evaluation of the Material-Source Effects on the DSR Rheological Properties of Plant-Mix Extracted Asphalt-Binders

Author

Lubinda F. Walubita, Jose G. Gonzalez-Hernandez, Gilberto Martinez-Arguelles, Hossain Tanvir, Luis Fuentes, and Seyed Amid Tahami

Subjects
Texas DSS, asphalt-binder, DSR, rheology properties, material-source effect, statistical analysis, Technology, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Engineering (General). Civil engineering (General), TA1-2040, Microscopy, QH201-278.5, Descriptive and experimental mechanics, QC120-168.85
Abstract

The work presented in this paper was carried out to statistically evaluate and quantify the material-source effect on the asphalt-binder’s rheological properties using Analysis of Variance (ANOVA) and Tukey’s Honestly Significant Difference (Tukey´s HSD) test. The study focused on the Asphalt-Binders’ high-temperature rheological properties, namely, the G*, δ, G*/Sin(δ) and G*/(1 − (1/Tan(δ)Sin(δ))) parameters, measured using the Dynamic Shear Rheometer (DSR) device. The DSR data analyzed in the study were extracted from the Texas flexible pavements and overlays database, namely, the Texas Data Storage System (DSS), covering two Asphalt-Binders (ABs), performance grade (PG) 64-22 and PG 76-22 plant-mix extracted ABs that were treated as rolling thin film oven (RTFO) residue, and sourced from 14 different suppliers. The study findings substantiate that material-source has an effect on the high-temperature rheological properties of ABs. Additionally, it was also concluded that in as much as performance superiority and costs are crucial issues in deciding the AB source/provider, consistency and quality aspects cannot be disregarded. Therefore, material-source effects should be inclusively evaluated from both performance (rheological properties) and quality (consistence) standpoints as well as cost considerations when choosing a supplier. In general, the study contributes to the state-of-the-art enrichment on aspects of material-source effects on RTFO residue ABs’ high-temperature rheological properties, consistency, variability, and data quality.

Published
2021
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