Publications by authors named "N Divekar"

Article Synopsis
  • Various lower-limb exoskeletons can assist movement for both able-bodied individuals and those with mild to moderate gait disorders, but a universal control system for all activities doesn’t exist.
  • The paper introduces a new modular control framework that optimizes joint torques for any exoskeleton configuration in real-time during daily activities like walking, ascending stairs, or transitioning from sitting to standing.
  • The study tested this framework on eight able-bodied users with different joint setups, finding that unilateral configurations significantly reduced muscle activation during tasks, while bilateral setups showed minimal effects likely due to weight and design limitations.
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Article Synopsis
  • The study addresses the challenges faced by struggling medical and nursing students by implementing a peer mentorship strategy to enhance their well-being, self-determination, school connectedness, and academic performance.
  • Utilizing a mixed-methods approach, the research will evaluate the impact of this mentorship intervention on students’ subjective vitality, school engagement, and academic records based on two cumulative continuous assessment test (CAT) scores.
  • Aimed at filling knowledge gaps in Nigeria and Rwanda, the research will contribute valuable insights into effective interventions for improving the experiences of low-performing medical and nursing students.
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Article Synopsis
  • - The emergence of CRISPR technologies has revolutionized gene manipulation through innovations like epigenetic editing, which controls gene expression without altering DNA sequences or creating breaks in the genome.
  • - The CRISPRoff technology enables the establishment of repressive DNA and histone modifications at gene promoters, effectively silencing targeted genes in a way that is heritable through cell division.
  • - The article outlines protocols for delivering CRISPRoff via plasmid DNA and mRNA into various human cell types, while also offering evaluation methods for gene silencing and best practices for using CRISPRoff for gene perturbation.
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Computational imaging reconstructions from multiple measurements that are captured sequentially often suffer from motion artifacts if the scene is dynamic. We propose a neural space-time model (NSTM) that jointly estimates the scene and its motion dynamics, without data priors or pre-training. Hence, we can both remove motion artifacts and resolve sample dynamics from the same set of raw measurements used for the conventional reconstruction.

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Article Synopsis
  • * The study introduces a new knee exoskeleton controller that adjusts assistance based on different tasks like squatting, walking, and climbing stairs, while also being easy to optimize and customize.
  • * Testing on users showed that this exoskeleton reduces quadriceps fatigue, improves performance and posture during repetitive tasks, and allows for smooth transitions between activities without needing individual adjustments.
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