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2009 - Connecticut's Stem Cell Research International Symposium Words: 1080 words || 
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1. Shertukde, Hemchandra., Shertukde, Karan., Shertukde, Rekha. and Carnow, Thomas. "Superior and Advanced Bio-Instrumentation to Identify and Isolate Stem-Cell Lineages – Graft Mapper and Stem Cell Identifier" Paper presented at the annual meeting of the Connecticut's Stem Cell Research International Symposium, Omni Hotel, New Haven, CT, Mar 23, 2009 <Not Available>. 2019-06-25 <http://citation.allacademic.com/meta/p369315_index.html>
Publication Type: Poster
Review Method: Peer Reviewed
Abstract: Abstract
Over the past four decades considerable research has been conducted in animal stem cell identification. In 1998, the attention shifted to the identification of human embryonic stem cells and adult stem cells. Research scientists from UK, USA and Korea used different methods like fluorescence-activated cell sorting (FACS) and flow cytometry with a blue laser to isolate the different markers associated with different embryonic and human cells. Over the years the need to properly identify these stem cells while they differentiate into specific cell characteristics is increasing, but there is an urgent need to overcome the hurdles and pitfalls of improper identification that may result in tumorous results. We propose a method that employs Wavelet Transform Signal Processing methods to increase the accuracy in identification of stem cells using near infrared (NIR) cameras. Markers corresponding to different proteins that generate unique spectral characteristics are more accurately identified with this novel system. With this new system medical researchers can now use precise information to seed a fully cultivated set of stem cells in appropriate human organs to cure dreaded diseases like Parkinson’s, diabetes, coronary arterial damage of the heart and cancer. The entire system is combined into a hardware and software system that will ultimately create a system called as Identification of Human Embryonic Stem Cell using Signal Characteristic Analysis with the acronym of hE[SC]2AN. It is imperative to note that this project does not delve with the growing of cell cultures or reinventing the biological process of differentiation of stem cells. The proposal system serves as a tool for accurate identification of stem cell markers using state-of-the-art imaging techniques. Recent exercises to evaluate our techniques have revealed the success of our imaging techniques for differentiating stem cells as discussed in the sequel. Also recently researchers from UCLA, UC Davis have developed a superior near infrared-emitting quantum dots technique for in vivo imaging and have been working with research collaborators at Stanford University to perform in vivo imaging with these probes in mice. Their technique uses NIR methods which is also the basis for this methodology.

Advanced Bio-Instrumentation to Identify and Isolate Stem-Cell Lineages
Stem cells have unique developmental properties that make them critical for new cell-based therapies involving transplantation needed to treat degenerative and genetic diseases like Parkinson, cardiac disorders and cancers. Stem cells can be isolated from different embryonic and adult tissue sources and different cell and molecular factors have been used to produce different cell types. Current efforts are focused on characterization of cells at different times during differentiation, identifying different regulatory factors responsible for expression of different cell populations and developing methods and instrumentation to identify and subsequently isolate specific cells. The proposed research addresses the need for improved bio-instrumentation that can be used to both analyze and manipulate human stem cell populations for treating patients with a wide range of clinical diseases. Recently, there has been a remarkable advance in research focused on understanding how different cell and molecular factors control proliferation and differentiation of embryonic and adult human stem cells. However, it is critical that we also develop new imaging, detection, identification, sorting and processing technologies specifically for human stem cell populations before clinical therapy can be successful. Among the most common methods for identifying stem cells are indirect procedures which are inefficient, time consuming and not very sensitive. They rely on analyzing cell progeny after the differentiation of the stem cell lineages. The problem is that cells are often phenotypically unstable and expression is transient under different growth conditions. The development and application of powerful new imaging methods has become essential to identifying specific cell types appearing during differentiation. Our approach is to apply near infrared (NIR) imaging employing Wavelet Transform Signal Processing methods to increase signal strength and accuracy. The advantages of this method are the following:

– Greater signal to noise ratio: Use of novel dyes for labels that do not overlap spectrally with visible dyes Very low autofluorescence/background Low energy excitation wavelengths cause less damage than visible dyes The proposed work plan involves designing and constructing an imaging system using the SC 6000 NIR camera system coupled to an image processor to collect digital images of fluorescently labeled human mesenchymal stem cell lineages at different stages during differentiation. Images will be processed and stored in a database which can be evaluated with new signal processing protocols using Wavelet Transform methodology to resolve small differences between phenotypes of cells. Our rationale is that new sensitive imaging bioinstrumentation coupled with knowledge about expression of lineage specific biomarkers can be used for the exact identification, purification and processing of specific cell populations. We hypothesize that this approach can increase the yield of specific stem cells for transplantation and decrease contamination by other cell types, especially oncogenic lineages. We believe it is critical that the development of advanced instrumentation for identifying/isolating cells proceed pari passu with the methods to grow cells and characterize different regulatory factors. We will be testing multiple fluorescent labels to increase quantum yield and improve imaging sensitivity in combination with different biomarkers to enhance cell identification so specific cell populations can be discriminated during growth in culture.

References
[1] “Autocrine growth of small cell lung cancer mediated by coexpression of c-kit and stem cell factor”, GW Krystal, SJ Hines and CP Organ Department of Medicine, Medical College of Virginia, Richmond, USA.
[2] “Novel Stem Cell Technology Leads To Better Spinal Cord Repair”, University of Rochester Medical Center report - The University of Rochester Medical Center and Baylor College of Medicine, Houston, collaborated on the work, April, 2006 issue of the Journal of Biology.
[3] Cells discovered at MIT may play role in lung cancer, June 29, 2005, article published and researched on Internet.
[4] Hemchandra Shertukde, “Near Infra Red Imaging using state-of-the art cameras and Wavelet Transform tracker for Embryonic Stem Cell Identification.” Proceedings, workshop on FLIR applications at the Inframation Exposition, Las Vegas, NV, October, 2006.
[5] H. Shertukde, ‘Signal Processing Tools for Identification of hESC’, Mini Symposium on Human Embryonic Stem Cell Research and Its impact on the State of Connecticut, UT 320, CETA, UHART, March 17, 2006.
[6] Mills, E., LaMonica, K., Hong, T., Pagliaruli, T., Mulrooney, J. and Grabel, L. “Roles for Rho/Rock and vinculin in parietal endoderm migration. Cell Communication and Adhesion. (in press)
[7] Hemchandra Shertukde, Rekha Shertukde, Karan Shertukde “Near Infra Red Imaging using state-of-the art cameras and Wavelet Transform tracker for Embryonic Stem Cell Identification.” Proceedings, Ist CT Symposium on Stem-cell research, Farmington, CT, September 17, 2008

2018 - MPSA Annual Conference Pages: unavailable || Words: unavailable || 
Info
2. Coyoli, Julia. "Identifying Corruption: How Anti-Corruption Initiatives' Failure to Correctly Identify Corruption Can Worsen Public Goods Provision" Paper presented at the annual meeting of the MPSA Annual Conference, Palmer House Hilton, Chicago, IL, Apr 05, 2018 <Not Available>. 2019-06-25 <http://citation.allacademic.com/meta/p1349150_index.html>
Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: This paper presents a formal model to explain the ways in which accountability mechanisms may lead to a lower quality of public goods provision. It then utilizes evidence from education bureaucrats in Brazil to test the model’s implications.

2018 - ICA's 68th Annual Conference Words: 138 words || 
Info
3. Somerstein, Rachel. "Identifying Visual Silences: Using Surveys and Interviews to Identify the Photographs News Photographers Don't Take" Paper presented at the annual meeting of the ICA's 68th Annual Conference, Hilton Prague, Prague, Czech Republic, <Not Available>. 2019-06-25 <http://citation.allacademic.com/meta/p1367292_index.html>
Publication Type: Session Paper
Abstract: Photographs are used as objective evidence in the courtroom and on the screen. They are used this way because they are indexical: they show what once was in front of the camera. Taken as indexes, as evidentiary documents, photographs shape the public conversation. These stories, in turn, drive the national conversation, as Max McCombs argued so convincingly in his work on agenda-setting: the news does not tell us what to think, but it does tell us what to think about.

But what of the photographs that, because of constraints and interferences, news photographers do not take? This project uses survey research and semi-structured interviews with news photographers to identify these images-not-taken. This work offers a different site in the process of news production from which to assess silences, before gatekeeping winnows the photographs that make it to press. 

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