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   https://doi.org/10.1145/3041048.3041055  

   Mukherjee, Subhojeet; Ray, Indrakshi; Ray, Indrajit; Shirazi, Hossein; Ong, Toan; Kahn, Michael G. (March 2017, Proceedings of the 2nd ACM Workshop on Attribute-Based Access Control)
2. Engineering sequestration-based biomolecular classifiers with shared resources

   https://doi.org/10.1101/2024.04.15.589451  

   Moghimianavval, Hossein; Gispert, Ignacio; Castillo, Santiago R; Corning, Olaf_B_W H; Liu, Allen P; Samaniego, Christian Cuba (April 2024, bioRxiv)

   Constructing molecular classifiers that enable cells to recognize linear and non-linear input patterns would expand the biocomputational capabilities of engineered cells, thereby unlocking their potential in diagnostics and therapeutic applications. While several biomolecular classifier schemes have been designed, the effect of biological constraints such as resource limitation and competitive binding on the function of those classifiers has been left unexplored. Here, we first demonstrate the design of a sigma factor-based perceptron as a molecular classifier working on the principles of molecular sequestration between the sigma factor and its anti-sigma molecule. We then investigate how the output of the biomolecular perceptron,i.e., its response pattern or decision boundary, is affected by the competitive binding of sigma factors to a pool of shared and limited resources of core RNA polymerase. Finally, we reveal the influence of sharing limited resources on multi-layer perceptron neural networks and outline design principles that enable the construction of non-linear classifiers using sigma-based biomolecular neural networks in the presence of competitive resource-sharing effects. 

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3. Engineering Sequestration-Based Biomolecular Classifiers with Shared Resources

   https://doi.org/10.1021/acssynbio.4c00270  

   Moghimianavval, Hossein; Gispert, Ignacio; Castillo, Santiago_R; Corning, Olaf_B_W_H; Liu, Allen_P; Cuba_Samaniego, Christian (September 2024, ACS Synthetic Biology)
4. Dynamic-State-Estimation-Based Cyber Attack Detection for Inverter-Based Resources

   https://doi.org/10.1109/PESGM52003.2023.10252357  

   Kumar, Avinash; Lin, Yuzhang; Huang, Heqing; Lu, Xiaonan; Zhao, Yue (July 2023, IEEE PES General Meeting)
5. Developing and assessing research-based, resources-oriented instructional materials: Attending to conceptual resources in (ACORN) physics tutorials

   https://doi.org/10.1103/zsqv-4py5  

   Robertson, Amy D; Goodhew, Lisa M; Bauman, Lauren C; Alesandrini, Anne T; Heron, Paula_R L (October 2025, Physical Review Physics Education Research)

   In this paper, we describe the development and preliminary assessment of ACORN Physics Tutorials, which are designed to elicit and build on common conceptual resources for understanding physics. We articulate our design principles and instructional commitments and how these bear out in the specifics of one ACORN Physics Tutorial about electric circuits. We describe preliminary results from research on the implementation of the circuits ACORN Physics Tutorials. Namely, we observe students’ sensemaking in real time as they complete worksheets; we document shifts in students’ performance and use of specific conceptual resources from pre- to postinstruction using ACORN Physics Tutorials; and we show that students generally perceive their ideas to have mattered as they work with their peers on these worksheets. We hope these results can inform instructor decision making about the appropriateness of ACORN Physics Tutorials for their local contexts. 

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