• Architecting complex, long-lived scientific software 

  Ernst, Neil A.; Klein, John; Bartolini, Marco; Coles, Jeremy; Rees, Nick (Journal of Systems and Software, 2023)

  Software is a critical aspect of large-scale science, providing essential capabilities for making scientific discoveries. Large-scale scientific projects are vast in scope, with lifespans measured in decades and costs ...
• A handheld bioprinter for multi-material printing of complex constructs 

  Pagan, Erik; Stefanek, Evan; Seyfoori, Amir; Razzaghi, Mahmood; Chehri, Behnad; Mousavi, Ali; Arnaldi, Pietro; Ajji, Zineb; Dartora, Daniela Ravizzoni; Dabiri, Seyed Mohammad Hossein; Nuyt, Anne Monique; Khademhosseini, Ali; Savoji, Houman; Akbari, Mohsen (Biofabrication, 2023)

  In situ bioprinting—the process of depositing bioinks at a defected area, has recently emerged as a versatile technology for tissue repair and restoration via site-specific delivery of pro-healing constructs. The ability ...
• A review on the recent developments in thermal management systems for hybrid-electric aircraft 

  Coutinho, Maria; Bento, David; Souza, Alain; Cruz, Rodrigo; Afonso, Frederico; Lau, Fernando; Suleman, Afzal; Barbosa, Felipe R.; Gandolfi, Ricardo; Affonso Junior, Walter; Odaguil, Felipe I. K.; Westin, Michelle F.; dos Reis, Ricardo J. N.; da Silva, Carlos R. I. (Applied Thermal Engineering, 2023)

  The electrification of aircraft propulsive systems has been identified as one of the potential solutions towards a lower carbon footprint in the aviation industry. However, there are still several environmental and ...
• Immunohistochemistry (IHC) staining of in-vitro cancer cell-generated tumoroids 

  Amereh, Meitham; Akbari, Mohsen (MethodsX, 2023)

  Targeting different pathways in combinational therapy may lead to synergistic effects with higher drug efficiency. Due to a large number of candidate drugs and the variability in the genomic landscape of the disease, ...
• A new iterative identification algorithm for estimating the LuGre friction model parameters 

  Mahmoudkhani, Saeed; Gorenstein, Johnathan; Ahmadi, Keivan (Mechanism and Machine Theory, 2023)

  The parameters of dynamic friction models like the LuGre model are commonly identified by computationally intensive nonlinear optimization methods. In this paper, an alternative least-square-based iterative algorithm is ...
• A kernel-based approach for identifying the dynamics of feed drives and robot joints 

  Ahmadi, K.; Mehrabi, M.; McPherson, J.D. (Control Engineering Practice, 2023)

  Linear regression models are widely used in controlling machine tool feed drives and robot joints. However, identifying the linear model’s parameters requires removing unmodelled dynamics such as machining forces or friction ...
• Exploring the role of electrification and modal shift in decarbonizing the road passenger transport in British Columbia 

  Saeid Atabaki, Mohammad; Bagheri, Mehdi; Aryanpur, Vahid (Sustainable Energy Technologies and Assessments, 2023)

  The possibility of the modal shift to public transport and active mobility while considering transport electrification and fuel efficiency improvement has yet to be adequately investigated. This paper explores transition ...
• Quantum field lens coding and classification algorithm to predict measurement outcomes 

  Alipour, Philip B.; Gulliver, T. Aaron (MethodsX, 2023)

  This study develops a method to implement a quantum field lens coding and classification algorithm for two quantum double-field (QDF) system models: 1- a QDF model, and 2- a QDF lens coding model by a DF computation (DFC). ...
• Text augmentation using a graph-based approach and clonal selection algorithm 

  Ahmed, Hadeer; Traore, Issa; Mamun, Mohammad; Saad, Sherif (Machine Learning with Applications, 2023)

  Annotated data is critical for machine learning models, but producing large amounts of data with high-quality labeling is a time-consuming and labor-intensive process. Natural language processing (NLP) and machine learning ...
• Lightweight privacy-preserving truth discovery for vehicular air quality monitoring 

  Liu, Rui; Pan, Jianping (Digital Communications and Networks, 2023)

  Air pollution has become a global concern for many years. Vehicular crowdsensing systems make it possible to monitor air quality at a fine granularity. To better utilize the sensory data with varying credibility, truth ...
• Modeling the transition to a zero emission energy system: A cross-sectoral review of building, transportation, and electricity system models in Canada 

  McPherson, M.; Rhodes, E.; Stanislaw, L.; Arjmand, R.; Saffari, M.; Xu, R.; Hoicka, C.; Esfahlani, M. (Energy Reports, 2023)

  Models have long been effective tools in the planning and policy making of energy systems, but low-carbon electrification—decarbonizing generation supply while expanding electrical demand—poses new challenges for the ...
• A review on computational storage devices and near memory computing for high performance applications 

  Fakhry, Dina; Abdelsalam, Mohamed; El-Kharashi, M. Watheq; Safar, Mona (Memories - Materials, Devices, Circuits and Systems, 2023)

  The von Neumann bottleneck is imposed due to the explosion of data transfers and emerging data-intensive applications in heterogeneous system architectures. The conventional computation approach of transferring data to CPU ...
• The Impact of Biomaterial Surface Properties on Engineering Neural Tissue for Spinal Cord Regeneration 

  da Silva, Victor A.; Bobotis, Bianca C.; Correia, Felipe F.; Lima-Vasconcellos, Théo H.; Chiarantin, Gabrielly M.D.; De La Vega, Laura; Lombello, Christane B.; Willerth, Stephanie M.; Malmonge, Sônia M.; Pachson, V. (International Journal of Molecular Science, 2023)

  Tissue engineering for spinal cord injury (SCI) remains a complex and challenging task. Biomaterial scaffolds have been suggested as a potential solution for supporting cell survival and differentiation at the injury site. ...
• A Framework for Synthetic Agetech Attack Data Generation 

  Khaemba, Noel; Traoré, Issa; Mamun, Mohammad (Journal of Cybersecurity and Privacy, 2023)

  To address the lack of datasets for agetech, this paper presents an approach for generating synthetic datasets that include traces of benign and attack datasets for agetech. The generated datasets could be used to develop ...
• Microbiological Contamination of Urban Groundwater in the Brazilian Western Amazon 

  Baia, Célia C.; Vargas, Taise F.; Ribeiro, Vivian A.; Laureano, Josilena d.S.; Boyer, Rachel; Dórea, Caetano C.; Bastos, Wanderley R. (Water, 2022)

  Groundwater is heavily exploited for a variety of uses. Depending on their structure, the wells from which water is extracted can act as an entry point/gateway for a variety of microbiological contaminants, which can cause ...
• Applications of a Novel Tunable Piezoelectric Vibration Energy Harvester 

  Raghavan, Sreekumari; Gupta, Rishi; Sharma, Loveleen (micromachines, 2023)

  Conversion of ambient energy to usable electrical energy is attracting attention from researchers since providing a maintenance-free power source for the sensors is critical in any IoT (Internet of Things)-based system and ...
• Failure Process Analysis of Landslide Triggered by Rainfall at Volcanic Area: Fangshan Landslide Case Study 

  Gu, Weiwei; Li, Zinan; Lin, Cheng; Zhang, Faming; Dong, Menglong; Li, Yukun; Liu, Chang (Water, 2022)

  The Fangshan landslide was a rainfall-induced landslide that occurred in a volcanic area in the Fangshan scenic spot, Nanjing, Jiangsu, China. On 25 October 2016, after approximately 10 days of continuous rainfall, a shallow ...
• A Microscopic Heterogeneous Traffic Flow Model Considering Distance Headway 

  Ali, Faryal; Khan, Zawar H.; Khattak, Khurram S.; Gulliver, Thomas A.; Khan, Akhtar N. (Mathematics, 2022)

  The intelligent driver (ID) model characterizes traffic behavior with a constant acceleration exponent and does not follow traffic physics. This results in unrealistic traffic behavior. In this paper, a new microscopic ...
• Detecting Cyber Attacks In-Vehicle Diagnostics Using an Intelligent Multistage Framework 

  Awaad, Tasneem A.; El-Kharashi, Mohamed W.; Taher, Mohamed; Tawfik, Ayman (Sensors, 2023)

  The advanced technology of vehicles makes them vulnerable to external exploitation. The current trend of research is to impose security measures to protect vehicles from different aspects. One of the main problems that ...
• 3D-Printed Tumor-on-a-Chip Model for Investigating the Effect of Matrix Stiffness on Glioblastoma Tumor Invasion 

  Amereh, Meitham; Seyfoori, Amir; Dallinger, Briana; Azimzadeh, Mostafa; Stefanek, Evan; Akbari, Mohsen (Biomimetics, 2023)

  Glioblastoma multiform (GBM) tumor progression has been recognized to be correlated with extracellular matrix (ECM) stiffness. Dynamic variation of tumor ECM is primarily regulated by a family of enzymes which induce ...

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