A5042651740- Nonlinear Dynamics and Pattern Formation
- Quantum chaos and dynamical systems
- Mechanical and Optical Resonators
- Chaos control and synchronization
- Advanced Thermodynamics and Statistical Mechanics
- Marine animal studies overview
- Neuroscience and Neuropharmacology Research
- Cold Atom Physics and Bose-Einstein Condensates
- Arctic and Antarctic ice dynamics
- Dark Matter and Cosmic Phenomena
- Advanced Chemical Sensor Technologies
- stochastic dynamics and bifurcation
- Cosmology and Gravitation Theories
- Galaxies: Formation, Evolution, Phenomena
- Theoretical and Computational Physics
- Scientific Research and Discoveries
- Statistical Methods in Clinical Trials
- Receptor Mechanisms and Signaling
- Lipid Membrane Structure and Behavior
- Statistical Mechanics and Entropy
- Plant and Biological Electrophysiology Studies
- Health Systems, Economic Evaluations, Quality of Life
- Advanced Causal Inference Techniques
Translational Genomics Research Institute
2022-2024
Indian Institute of Science Education and Research Kolkata
2018-2023
Abstract Standard single‐cell (sc) proteomics of disease states inferred from multicellular organs or organoids cannot currently be related to physiology. Here, a scPatch‐Clamp/Proteomics platform is developed on single neurons generated hiPSCs bearing an Alzheimer's (AD) genetic mutation and compares them isogenic wild‐type controls. This approach provides both current voltage electrophysiological data plus detailed information single‐cells. With this new method, the authors are able...
In this work, we study the dynamical systems analysis of phantom dark energy models considering five different potentials. From these potentials have found a general parametrization scalar field which is obeyed by many other Our investigation shows that there only one fixed point could be beginning universe. However, future destiny has possible options. A detailed numerical system been presented. The observed late time behaviour in very good agreement with recent observations.
Plant electrophysiological response contains useful signature of its environment and health which can be utilized using suitable statistical analysis for developing an inverse model to classify the stimulus applied plant. In this paper, we have presented a pipeline tackle multiclass environmental stimuli classification problem with unbalanced plant data. The objective here is three different chemical stimuli, fifteen features, extracted from electrical signals compare performance eight...
<title>Abstract</title> Information which may support an individual’s participation in a cancer phase I trial, such as their response to prior therapies, other medical conditions they have, features tumor genomic profile, etc., should be considered avoid negative consequences of participating the trial. However, knowing pieces information are relevant is crucial. We built predictive models responses trials using routinely collected demographic and clinical chemistry data. obtained data on...
The Hamiltonian mean-field (HMF) model is a system of fully coupled rotators which exhibits second-order phase transition at some critical energy in its canonical ensemble. We investigate the case where interaction between rotors governed by time-dependent coupling matrix. Our numerical study reveals shift point due to temporal modulation. shown be independent modulation frequency above threshold value, whereas impact amplitude dominant. In microcanonical ensemble, with constant reaches...
Causal interactions and correlations between clinically-relevant biomarkers are important to understand, both for informing potential medical interventions as well predicting the likely health trajectory of any individual they age. These can be hard establish in humans, due difficulties routine sampling controlling differences (e.g., diet, socio-economic status, medication). Because bottlenose dolphins long-lived mammals that exhibit several age-related phenomena similar we analyzed data...
Dynamical stabilization of an inverted pendulum through vertical movement the pivot is a well-known counterintuitive phenomenon in classical mechanics. This system also known as Kapitza and stability can be explained with aid effective potential. We explore effect many body interaction for such system. Our numerical analysis shows that between pendula generally degrades dynamical each pendulum. more pronounced nearest neighbour coupling than all-to-all improves increase size. report...
1 Abstract Causal interactions and correlations between clinically-relevant biomarkers are important to understand, both for informing potential medical interventions as well predicting the likely health trajectory of any individual they age. These can be hard establish in humans, due difficulties routine sampling controlling differences (e.g., diet, socio-economic status, medication). Because bottlenose dolphins long-lived mammals that exhibit several age-related phenomena similar we...