A Novel Active Contour Model for Texture Segmentation

Texture is intuitively defined as a repeated arrangement of a basic pattern or object in an image. There is no mathematical definition of a texture though. The human visual system is able to identify and segment different textures in a given image. Automating this task for a computer is far from trivial. There are three major components of any texture segmentation algorithm: (a) The features used to represent a texture, (b) the metric induced on this representation space and (c) the clustering algorithm that runs over these features in order to segment a given image into different textures. In this paper, we propose an active contour based novel unsupervised algorithm for texture segmentation. We use intensity covariance matrices of regions as the defining feature of textures and find regions that have the most inter-region dissimilar covariance matrices using active contours. Since covariance matrices are symmetric positive definite, we use geodesic distance defined on the manifold of symmetric positive definite matrices PD(n) as a measure of dissimlarity between such matrices. We demonstrate performance of our algorithm on both artificial and real texture images

Active Contour Models for Manifold Valued Image Segmentation

Image segmentation is the process of partitioning a image into different regions or groups based on some characteristics like color, texture, motion or shape etc. Active contours is a popular variational method for object segmentation in images, in which the user initializes a contour which evolves in order to optimize an objective function designed such that the desired object boundary is the optimal solution. Recently, imaging modalities that produce Manifold valued images have come up, for example, DT-MRI images, vector fields. The traditional active contour model does not work on such images. In this paper, we generalize the active contour model to work on Manifold valued images. As expected, our algorithm detects regions with similar Manifold values in the image. Our algorithm also produces expected results on usual gray-scale images, since these are nothing but trivial examples of Manifold valued images. As another application of our general active contour model, we perform texture segmentation on gray-scale images by first creating an appropriate Manifold valued image. We demonstrate segmentation results for manifold valued images and texture images

Photovoltage Bleaching in Bulk Heterojunction Solar Cells through Occupation of the Charge Transfer State

We observe a strong peak in the capacitive photocurrent of a MDMO-PPV / PCBM bulk heterojunction solar cell for excitation below the absorbance threshold energy. Illumination at the peak energy blocks charge capture at other wavelengths, and causes the photovoltage to drop dramatically. These results suggest that the new peak is due to a charge transfer state, which provides a pathway for charge separation and photocurrent generation in the solar cell.Comment: submitted to Physical Review Letter

Modulation of Gene Expression by Gene Architecture and Promoter Structure

Regulation of gene expression is achieved by the presence of cis regulatory elements; these signatures are interspersed in the noncoding region and also situated in the coding region of the genome. These elements orchestrate the gene expression process by regulating the different steps involved in the flow of genetic information. Transcription (DNA to RNA) and translation (RNA to Protein) are controlled at different levels by different regulatory elements present in the genome. Current chapter describes the structural and functional elements present in the coding and noncoding region of the genome. Further we discuss role of regulatory elements in regulation of gene expression in prokaryotes and eukaryotes. Finally, we also discuss DNA structural properties of regulatory regions and their role in gene expression. Identification and characterization of cis regulatory elements would be useful to engineer the regulation of gene expression

Graph Representations for Higher-Order Logic and Theorem Proving

This paper presents the first use of graph neural networks (GNNs) for higher-order proof search and demonstrates that GNNs can improve upon state-of-the-art results in this domain. Interactive, higher-order theorem provers allow for the formalization of most mathematical theories and have been shown to pose a significant challenge for deep learning. Higher-order logic is highly expressive and, even though it is well-structured with a clearly defined grammar and semantics, there still remains no well-established method to convert formulas into graph-based representations. In this paper, we consider several graphical representations of higher-order logic and evaluate them against the HOList benchmark for higher-order theorem proving

Effects of choline kinase activity on phospholipid metabolism and malignant phenotype of prostate cancer cells

Indiana University-Purdue University Indianapolis (IUPUI)High choline uptake and increased choline kinase activity have been reported in many cancers. This has motivated the use of choline as a biomarker for tumor imaging. Tumors in general are heterogeneous in nature with respect to oxygen tension. There are regions of hypoxia and normoxia that are expected to have different metabolism but regulation of choline metabolism under hypoxia is poorly understood. It is important to clarify the status of choline metabolism in hypoxic microenvironment as it will have an impact on potential of choline as a cancer biomarker. The primary goal was to determine the status of choline phosphorylation in hypoxic cancer cells and its effect on uptake of choline. This was examined by tracer studies in cancer cells exposed to hypoxia. It was observed that hypoxia universally inhibits choline uptake /phosphorylation in cancer cells. Decreased choline phosphorylation resulted in transient uptake of choline radiotracers in cultured cancer cells and 9L tumors suggesting potential problem in using choline as a biomarker for cancers in hypoxic microenvironment. To investigate the mechanism behind decrease in choline phosphorylation, steady state levels of choline metabolites were measured and choline kinase catalyzed choline phosphorylation step was found to be rate-limiting in PC-3 cells. This suggested that modulation in choline kinase levels can alter choline metabolism in hypoxic cancer cells. Expression and activity assays for choline kinase revealed that choline kinase expression is down-regulated in hypoxia. This regulation involved transcriptional level mediation by HIF1 at the conserved HRE7 site in choline kinase promoter. To further understand the importance of down-regulation of choline kinase in hypoxia, stable prostate cancer cell lines over-expressing choline kinase were generated. Effect of over-expression of choline kinase in hypoxia was evaluated in terms of malignant phenotypes like proliferation rate, anchorage independent growth and invasion potential. Both over-expression of choline kinase and hypoxia had a pronounced effect on malignant phenotypes of prostate cancer cells. Further study showed that increased choline kinase activity and hypoxic tumor microenvironment are important for progression of early-stage, androgen-dependent LNCaP prostate cancer cells but confer little survival advantage in undifferentiated, androgen-independent PC-3 prostate cancer cells

How to manage blocked intramedullary canal while reaming during hip arthroplasty

Blockage of femoral canal while doing hemiarthroplasty is rare finding. Before inserting the femoral stem trial we should manage this blockage adequately to prevent iatrogenic fracture. Herein, we present a case of fracture neck of femur right in a 79-year-old male who presented with history of right hip pain and later was diagnosed with neck of femur fracture subcapital type that was treated with cementless hemiarthroplasty. In conclusion, if the canal is blocked, start with small diameter (K-wire), then insert guide wire and then reaming over it to open the blocked canal, do not hammer directly to prevent iatrogenic fracture. Go sequentially to open the blockage. First open the marrow then insert trial stem

PEFTDebias : Capturing debiasing information using PEFTs

The increasing use of foundation models highlights the urgent need to address and eliminate implicit biases present in them that arise during pretraining. In this paper, we introduce PEFTDebias, a novel approach that employs parameter-efficient fine-tuning (PEFT) to mitigate the biases within foundation models. PEFTDebias consists of two main phases: an upstream phase for acquiring debiasing parameters along a specific bias axis, and a downstream phase where these parameters are incorporated into the model and frozen during the fine-tuning process. By evaluating on four datasets across two bias axes namely gender and race, we find that downstream biases can be effectively reduced with PEFTs. In addition, we show that these parameters possess axis-specific debiasing characteristics, enabling their effective transferability in mitigating biases in various downstream tasks. To ensure reproducibility, we release the code to do our experiments.Comment: EMNLP 202