A5075537876- Microfluidic and Bio-sensing Technologies
- Adipokines, Inflammation, and Metabolic Diseases
- Regulation of Appetite and Obesity
- Microfluidic and Capillary Electrophoresis Applications
- Adipose Tissue and Metabolism
- Additive Manufacturing and 3D Printing Technologies
- Protein purification and stability
- Membrane Separation Technologies
- Bone Metabolism and Diseases
- Islamic Studies and History
- Biosensors and Analytical Detection
- Advanced Sensor and Energy Harvesting Materials
- GDF15 and Related Biomarkers
- Spatial Neglect and Hemispheric Dysfunction
- Neural and Behavioral Psychology Studies
- Interactive and Immersive Displays
- Advanced Materials and Mechanics
- Visual perception and processing mechanisms
Central Drug Research Institute
2021-2024
Dayalbagh Educational Institute
2022-2023
Rutgers, The State University of New Jersey
2002
Purpose The hygroscopic properties of 3D-printed filaments and moisture absorption itself during the process result in dimensional inaccuracy, particularly for nozzle movement along x-axis micro-scale features. In view that, this study aims to analyze depth errors deviations fused filament fabrication (FFF)/fused deposition modeling (FDM) micropillars (MPs) from reference values. A detailed analysis into variability printed dimensions below 1 mm width without any deformations shape designed...
Image Processing of a microporous asymmetrical flat polymer membrane using MATLAB with the aim is to extract all morphological details for front side, back side and cross-section presented here. The pore perimeter pixelart various variable size pores, distributed in random manner throughout volume employed 2D 3D Modeling, possibility select porous solid contain separately as explicit domains COMSOL. proposed method kind Direct Modeling Strategy (DMS) pattern recognition randomly pores from...
Image Processing of a microporous asymmetrical flat polymer membrane using MATLAB with the aim is to extract all morphological details for front side, back side and cross-section presented here. The pore perimeter pixelart various variable size pores, distributed in random manner throughout volume employed 2D 3D Modeling, possibility select porous solid contain separately as explicit domains COMSOL. proposed method kind Direct Modeling Strategy (DMS) pattern recognition randomly pores from...