109 research outputs found
An excerpt from Urmila Pawar\u27s Autobiography
Get PDFThe term "Dalit literature" is used to describe works written by authors from the Dalit ethnic minority. The hardships and triumphs of the Dalit people were mirrored in this body of writing. It also revealed their uphill battle in life to the outside world. They are victims of centuries of discrimination and oppression at the hands of those in power in their own nation. Social transformation in this society owes a great deal to the efforts of notable individuals like B.R. Ambedkar. Dalit writings have emphasized the rights and agency of the Dalit community. Many authors of Dalit descent have written on the difficulties inherent in their language and culture. They questioned the privilege of the higher caste and advocated for the adoption of vernacular speech. Several Dalit authors have achieved widespread acclaim for their works. There are several famous authors from India, like Bama (K.R. Meera), Om Prakash Valmiki, Chetan Divate, Urmila Pawar, and Daya Pawar. Urmila Pawar is a well-known Marathi author and activist. She has achieved widespread renown as a writer due to the autobiographical nature of her books. Her works are impacted by both her time as a student and her time as an educator.
 
The effect of mechanical strain on properties of lubricated tablets compacted at different pressures
No full textA full factorial design of experiments was used to study the effect of blend shear strain on the compaction process, relative density and strength of pharmaceutical tablets. The powder blends were subjected to different shear strain levels (integral of shear rate with respect to time) using an ad hoc Couette shear cell. Tablets were compressed at different compaction forces using an instrumented compactor simulator, and compaction curves showing the force-displacement profiles during compaction were obtained. Although the die-fill blend porosity (initial porosity) and the minimum in-die tablet porosity (at maximum compaction) decreased significantly with shear strain, the final tablet porosity was surprisingly independent of shear strain. The increase in the in-die maximum compaction with shear strain was, in fact, compensated during post-compaction relaxation of the tables, which also increased significantly with shear strain. Therefore, tablet porosity alone was not sufficient to predict tablet tensile strength. A decrease in the ‘work of compaction’ as a function of shear strain, and an increase in the recovered elastic work was observed, which suggested weaker particle-particle bonding as the shear strain in- creased. For each shear strain level, the Ryskewitch Duckworth equation was a good fit to the tensile strength as a function of tablet porosity, and the obtained asymptotic tensile strength at zero porosity exhibited a 60% reduction as a function of shear strain. This was consistent with a reduced bonding efficiency as the shear strain increased.Peer reviewed
Our Story Collages
No full textOur Story digital collages of the Underwater Realm presented in Giannoulatou, I. D., Januchowski-Hartley, S. R., Sahni, A., Pawar, S. K., White, J. C., Lockheart, J., Baranduin, N., Herbst, D., Whittaker, B., Thackeray, S. J., Shooter, R., Darley, J. and Thomas, M. (in review). Collaging to find new connections and meaning about underwater places. cultural geographies. *Corresponding author: [email protected] </p
Our Story Audio-Visual Media
No full textOur Story audio-visual media presented in Giannoulatou, I. D., Januchowski-Hartley, S. R., Sahni, A., Pawar, S. K., White, J. C., Lockheart, J., Baranduin, N., Herbst, D., Whittaker, B., Thackeray, S. J., Shooter, R., Darley, J. and Thomas, M. (in review). Collaging to find river connections and stimulate new meanings. cultural geographies.
The original video file was changed with an updated version on 21 September 2022 to include subtitles (English).
*Corresponding author: [email protected] </p
Modelling and simulation of DSTATCOM for power quality improvement in distribution system using MATLAB SIMULINK tool
No full textTHB‑Diff: a GPU‑accelerated diferentiable programming framework for THB‑splines
Get PDFWe have developed a differentiable programming framework for truncated hierarchical B-splines (THB-splines), which can be used for several applications in geometry modeling, such as surface fitting and deformable image registration, and can be easily integrated with geometric deep learning frameworks. Differentiable programming is a novel paradigm that enables an algorithm to be differentiated via automatic differentiation, i.e., using automatic differentiation to compute the derivatives of its outputs with respect to its inputs or parameters. Differentiable programming has been used extensively in machine learning for obtaining gradients required in optimization algorithms such as stochastic gradient descent (SGD). While incorporating differentiable programming with traditional functions is straightforward, it is challenging when the functions are complex, such as splines. In this work, we extend the differentiable programming paradigm to THB-splines. THB-splines offer an efficient approach for complex surface fitting by utilizing a hierarchical tensor structure of B-splines, enabling local adaptive refinement. However, this approach brings challenges, such as a larger computational overhead and the non-trivial implementation of automatic differentiation and parallel evaluation algorithms. We use custom kernel functions for GPU acceleration in forward and backward evaluation that are necessary for differentiable programming of THB-splines. Our approach not only improves computational efficiency but also significantly enhances the speed of surface evaluation compared to previous methods. Our differentiable THB-splines framework facilitates faster and more accurate surface modeling with local refinement, with several applications in CAD and isogeometric analysis.This article is published as Moola, Ajith, Aditya Balu, Adarsh Krishnamurthy, and Aishwarya Pawar. "THB-Diff: a GPU-accelerated differentiable programming framework for THB-splines." Engineering with Computers (2023): 1-17. doi: https://doi.org/10.1007/s00366-023-01929-1. © The Author(s) 2023. This open access article is licensed under a Creative Commons Attribution 4.0. (http://creativecommons.org/licenses/by/4.0/
Observation of shift in band gap with annealing in hydrothermally synthesized TiO2-thin films
No full textChildren’s algorithms and the mathematics behind them
No full textThe first author of this
article is a mathematics
teacher who observes
students’ answers,
engages with them and
is fascinated by them.
She approached the
second author who
works in the field of
mathematics education
but is not a teacher
herself. This article is a
collaboration between
them
Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks
No full textPredicting pediatric spinal deformity (PSD) from X-ray images collected on the patient’s initial visit is a challenging task. This work builds on our previous method and provides a novel bio-informed framework based on a mechanistic machine learning technique with dynamic patient-specific parameters to predict PSD. We provide a geometry-based bone growth model that can be utilized in a range of applications to enhance the bio-informed mechanistic machine learning framework. The proposed technique is utilized to examine and predict spine curvature in PSD cases such as adolescent idiopathic scoliosis. The best fit of a segmented 3D volumetric geometry of the human spine acquired from 2D X-ray images is employed. Using an active contour model based on gradient vector flow snakes, the anteroposterior and lateral views of the X-ray images are segmented to derive the 2D contours surrounding each vertebra. Using minimal user input, the snake parameters are calibrated and automatically computed over the dataset, resulting in fast image segmentation and data collection. The 2D segmented outlines of each vertebra are transformed into a 3D image segmentation result. The Iterative Closest Point mesh registration technique is then used to establish a mesh morphing approach and creates a 3D atlas spine model. Using the comprehensive 3D volumetric model, one can automatically extract spinal geometry data as inputs to the mechanistic machine learning network. Moreover, the proposed bio-informed deep learning network with the modified bone growth model achieves competitive or even superior performance against other state-of-the-art learning-based methods.Please check and confirm if the author names and initials are correct for “Yongjie Jessica Zhang” and “Wing Kam Liu”.We confirm they are correct.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Emerging MaterialsApplied Ergonomics and Desig
Underwater Haiku Collaborative Collection
No full textUnderwater Haiku Collaborative Collection presented in Giannoulatou, I. D., Januchowski-Hartley, S. R., Sahni, A., Pawar, S. K., White, J. C., Lockheart, J., Baranduin, N., Herbst, D., Whittaker, B., Thackeray, S. J., Shooter, R., Darley, J. and Thomas, M. (in review). Collaging to find new connections and meaning about underwater places. cultural geographies. The collection is a series of haiku written by multiple authors (named within) in response to or about the Underwater Realm (visual creations presented within). *Corresponding author: [email protected]
**The file presented is formatted so that anyone can download and print it (bleeds are 0.25cm). </p
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