Challenges of Treating Information as a Public Resource: The Case of Parcel Data

2006 ◽  
Author(s):  
S.S. Dawes ◽  
M.E. Cook ◽  
N. Helbig
Keyword(s):  
Public Resource

scholarly journals Dynamic Public Resource Allocation Based on Human Mobility Prediction

2020 ◽  
Vol 4 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Sijie Ruan ◽  
Jie Bao ◽  
Yuxuan Liang ◽  
Ruiyuan Li ◽  
Tianfu He ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Human Mobility ◽  
Mobility Prediction ◽  
Public Resource

scholarly journals A primary human T-cell spectral library to facilitate large scale quantitative T-cell proteomics

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Harshi Weerakoon ◽  
Jeremy Potriquet ◽  
Alok K. Shah ◽  
Sarah Reed ◽  
Buddhika Jayakody ◽  
...  
Keyword(s):  
T Cell ◽  
Large Scale ◽  
Large Data ◽  
Spectral Library ◽  
Proteomics Data ◽  
Cell Library ◽  
Public Resource ◽  
Human T Cell ◽  
Theoretical Mass ◽  
Current Resource

AbstractData independent analysis (DIA) exemplified by sequential window acquisition of all theoretical mass spectra (SWATH-MS) provides robust quantitative proteomics data, but the lack of a public primary human T-cell spectral library is a current resource gap. Here, we report the generation of a high-quality spectral library containing data for 4,833 distinct proteins from human T-cells across genetically unrelated donors, covering ~24% proteins of the UniProt/SwissProt reviewed human proteome. SWATH-MS analysis of 18 primary T-cell samples using the new human T-cell spectral library reliably identified and quantified 2,850 proteins at 1% false discovery rate (FDR). In comparison, the larger Pan-human spectral library identified and quantified 2,794 T-cell proteins in the same dataset. As the libraries identified an overlapping set of proteins, combining the two libraries resulted in quantification of 4,078 human T-cell proteins. Collectively, this large data archive will be a useful public resource for human T-cell proteomic studies. The human T-cell library is available at SWATHAtlas and the data are available via ProteomeXchange (PXD019446 and PXD019542) and PeptideAtlas (PASS01587).

scholarly journals NetPath: a public resource of curated signal transduction pathways

2010 ◽  
Vol 11 (1) ◽  
pp. R3 ◽  
Author(s):  
Kumaran Kandasamy ◽  
Sujatha Mohan ◽  
Rajesh Raju ◽  
Shivakumar Keerthikumar ◽  
Ghantasala S SAMEER Kumar ◽  
...  
Keyword(s):  
Signal Transduction ◽  
Signal Transduction Pathways ◽  
Public Resource

A Teaching Database for Diagnosis of Hematologic Neoplasms Using Immunophenotyping by Flow Cytometry

2008 ◽  
Vol 132 (5) ◽  
pp. 829-837
Author(s):  
Andy N. D. Nguyen ◽  
Jitakshi De ◽  
Jacqueline Nguyen ◽  
Anthony Padula ◽  
Zhenhong Qu
Keyword(s):  
Flow Cytometry ◽  
World Health ◽  
Hematologic Neoplasms ◽  
Web Based ◽  
Mathematical Algorithm ◽  
Medical Centers ◽  
Flow Cytometric ◽  
Public Resource ◽  
Immunologic Marker ◽  
Health Organization

Abstract Context.—In the diagnosis of lymphomas and leukemias, flow cytometry has been considered an essential addition to morphology and immunohistochemistry. The interpretation of immunophenotyping results by flow cytometry involves pattern recognition of different hematologic neoplasms that may have similar immunologic marker profiles. An important factor that creates difficulty in the interpretation process is the lack of consistency in marker expression for a particular neoplasm. For this reason, a definitive diagnostic pattern is usually not available for each specific neoplasm. Consequently, there is a need for decision support tools to assist pathology trainees in learning flow cytometric diagnosis of leukemia and lymphoma. Objective.—Development of a Web-enabled relational database integrated with decision-making tools for teaching flow cytometric diagnosis of hematologic neoplasms. Design.—This database has a knowledge base containing patterns of 44 markers for 37 hematologic neoplasms. We have obtained immunophenotyping data published in the scientific literature and incorporated them into a mathematical algorithm that is integrated to the database for differential diagnostic purposes. The algorithm takes into account the incidence of positive and negative expression of each marker for each disorder. Results.—Validation of this algorithm was performed using 92 clinical cases accumulated from 2 different medical centers. The database also incorporates the latest World Health Organization classification for hematologic neoplasms. Conclusions.—The algorithm developed in this database shows significant improvement in diagnostic accuracy over our previous database prototype. This Web-based database is proposed to be a useful public resource for teaching pathology trainees flow cytometric diagnosis.

Cripping the Welfare Queen

Social Text ◽  
2021 ◽  
Vol 39 (3) ◽  
pp. 79-101
Author(s):  
Jina B. Kim
Keyword(s):  
Social Services ◽  
Low Income ◽  
State Regulation ◽  
State Violence ◽  
Literary Texts ◽  
Black Mothers ◽  
Disability Theory ◽  
Queer Of Color Critique ◽  
Public Resource ◽  
Welfare Queen

Abstract Drawing together feminist- and queer-of-color critique with disability theory, this essay offers a literary-cultural reframing of the welfare queen in light of critical discourses of disability. It does so by taking up the discourse of dependency that casts racialized, low-income, and disabled populations as drains on the state, reframing this discourse as a potential site of coalition among antiracist, anticapitalist, and feminist disability politics. Whereas antiwelfare policy cast independence as a national ideal, this analysis of the welfare mother elaborates a version of disability and women-of-color feminism that not only takes dependency as a given but also mines the figure of the welfare mother for its transformative potential. To imagine the welfare mother as a site for reenvisioning dependency, this essay draws on the “ruptural possibilities” of minority literary texts, to use Roderick A. Ferguson’s coinage, and places Sapphire's 1996 novel Push in conversation with Jesmyn Ward's 2011 novel Salvage the Bones. Both novels depict young Black mothers grappling with the disabling context of public infrastructural abandonment, in which the basic support systems for maintaining life—schools, hospitals, social services—have become increasingly compromised. As such, these novels enable an elaboration of a critical disability politic centered on welfare queen mythology and its attendant structures of state neglect, one that overwrites the punitive logics of public resource distribution. This disability politic, which the author terms crip-of-color critique, foregrounds the utility of disability studies for feminist-of-color theories of gendered and sexual state regulation and ushers racialized reproduction and state violence to the forefront of disability analysis.

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