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2. Incidence and Risk Factors for Renal Disease in an Outpatient Cohort of HIV-Infected Patients on Antiretroviral Therapy

Author

Subramanian, Thilakavathy, Binkley, Jeffery, Taylor, Rob, Rayeed, Nabil, Akridge, Cheryl, Purinton, Stacey, Naughton, Jeff, D'Angelo, Lawrence, Kharfen, Michael, Wood, Angela, Serlin, Michael, Kumar, Princy, Parenti, David, Castel, Amanda, Greenberg, Alan, Monroe, Anne, Happ, Lindsey Powers, Jaurretche, Maria, Lewis, Brittany, Peterson, James, Younes, Naji, Wilcox, Ronald, Rana, Sohail, Horberg, Michael, Fernandez, Ricardo, Hebou, Annick, Dieffenbach, Carl, Masur, Henry, Bordon, Jose, Teferi, Gebeyehu, Benator, Debra, Ruiz, Maria Elena, Goldstein, Deborah, Hardy, David, Doshi, Saumil, Ucanda, Martin, Hart, Rachel, Hou, Qingjiang, and Terzian, Arpi S.

Published
2019
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3. The Case for a Structured Approach to Managing Unstructured Data

Author

Doan, AnHai, Naughton, Jeff, Baid, Akanksha, Chai, Xiaoyong, Chen, Fei, Chen, Ting, Chu, Eric, DeRose, Pedro, Gao, Byron, Gokhale, Chaitanya, Huang, Jiansheng, Shen, Warren, and Vuong, Ba-Quy

Subjects
Computer Science - Databases, Computer Science - Information Retrieval
Abstract

The challenge of managing unstructured data represents perhaps the largest data management opportunity for our community since managing relational data. And yet we are risking letting this opportunity go by, ceding the playing field to other players, ranging from communities such as AI, KDD, IR, Web, and Semantic Web, to industrial players such as Google, Yahoo, and Microsoft. In this essay we explore what we can do to improve upon this situation. Drawing on the lessons learned while managing relational data, we outline a structured approach to managing unstructured data. We conclude by discussing the potential implications of this approach to managing other kinds of non-relational data, and to the identify of our field., Comment: CIDR 2009

Published
2009

4. The Lowell Database Research Self Assessment

Author

Abiteboul, Serge, Agrawal, Rakesh, Bernstein, Phil, Carey, Mike, Ceri, Stefano, Croft, Bruce, DeWitt, David, Franklin, Mike, Molina, Hector Garcia, Gawlick, Dieter, Gray, Jim, Haas, Laura, Halevy, Alon, Hellerstein, Joe, Ioannidis, Yannis, Kersten, Martin, Pazzani, Michael, Lesk, Mike, Maier, David, Naughton, Jeff, Schek, Hans, Sellis, Timos, Silberschatz, Avi, Stonebraker, Mike, Snodgrass, Rick, Ullman, Jeff, Weikum, Gerhard, Widom, Jennifer, and Zdonik, Stan

Subjects
Computer Science - Databases, H.2, H.3, H.4, H.5
Abstract

A group of senior database researchers gathers every few years to assess the state of database research and to point out problem areas that deserve additional focus. This report summarizes the discussion and conclusions of the sixth ad-hoc meeting held May 4-6, 2003 in Lowell, Mass. It observes that information management continues to be a critical component of most complex software systems. It recommends that database researchers increase focus on: integration of text, data, code, and streams; fusion of information from heterogeneous data sources; reasoning about uncertain data; unsupervised data mining for interesting correlations; information privacy; and self-adaptation and repair., Comment: Details of this workshop (presentations and notes) are at http://research.microsoft.com/~gray/lowell/

Published
2003

5. DIAMetrics: Benchmarking Query Engines at Scale.

Author

Deep, Shaleen, Gruenheid, Anja, Nagaraj, Kruthi, Naito, Hiro, Naughton, Jeff, and Viglas, Stratis

Subjects
BENCHMARKING (Management), SEARCH engines, SOFTWARE measurement, WEBOMETRICS, PROGRAM transformation
Abstract

This paper introduces DIAMetrics: a novel framework for end-to-end benchmarking and performance monitoring of query engines. DIAMetrics consists of a number of components supporting tasks such as automated workload summarization, data anonymization, benchmark execution, monitoring, regression identification, and alerting. The architecture of DIAMetrics is highly modular and supports multiple systems by abstracting their implementation details and relying on common canonical formats and pluggable software drivers. The end result is a powerful unified framework that is capable of supporting every aspect of benchmarking production systems and workloads. DIAMetrics has been developed in Google and is being used to benchmark various internal query engines. In this paper, we give an overview of DIAMetrics and discuss its design and implementation. Furthermore, we provide details about its deployment and example use cases. Given the variety of supported systems and use cases within Google, we argue that its core concepts can be used more widely to enable comparative end-to-end benchmarking in other industrial environments. [ABSTRACT FROM AUTHOR]

Published
2022
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6. The Asilomar Report on Database Research

Author

Bernstein, Phil, Brodie, Michael, Ceri, Stefano, DeWitt, David, Franklin, Mike, Garcia-Molina, Hector, Gray, Jim, Held, Jerry, Hellerstein, Joe, Jagadish, H. V., Lesk, Michael, Maier, Dave, Naughton, Jeff, Pirahesh, Hamid, Stonebraker, Mike, and Ullman, Jeff

Subjects
Computer Science - Databases, Computer Science - Digital Libraries, H.0, H.2, H.3, H.4, H.5
Abstract

The database research community is rightly proud of success in basic research, and its remarkable record of technology transfer. Now the field needs to radically broaden its research focus to attack the issues of capturing, storing, analyzing, and presenting the vast array of online data. The database research community should embrace a broader research agenda -- broadening the definition of database management to embrace all the content of the Web and other online data stores, and rethinking our fundamental assumptions in light of technology shifts. To accelerate this transition, we recommend changing the way research results are evaluated and presented. In particular, we advocate encouraging more speculative and long-range work, moving conferences to a poster format, and publishing all research literature on the Web., Comment: 20 pages in HTML; an original in MSword at http://research.microsoft.com/~gray/Asilomar_DB_98.doc

Published
1998

7. DIAMETRICS

Author

Deep, Shaleen, primary, Gruenheid, Anja, additional, Nagaraj, Kruthi, additional, Naito, Hiro, additional, Naughton, Jeff, additional, and Viglas, Stratis, additional

Published
2022
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8. Napa

Author

Agiwal, Ankur, primary, Lai, Kevin, additional, Manoharan, Gokul Nath Babu, additional, Roy, Indrajit, additional, Sankaranarayanan, Jagan, additional, Zhang, Hao, additional, Zou, Tao, additional, Chen, Min, additional, Chen, Zongchang (Jim), additional, Dai, Ming, additional, Do, Thanh, additional, Gao, Haoyu, additional, Geng, Haoyan, additional, Grover, Raman, additional, Huang, Bo, additional, Huang, Yanlai, additional, Li, Zhi (Adam), additional, Liang, Jianyi, additional, Lin, Tao, additional, Liu, Li, additional, Liu, Yao, additional, Mao, Xi, additional, Meng, Yalan (Maya), additional, Mishra, Prashant, additional, Patel, Jay, additional, R., Rajesh S., additional, Raman, Vijayshankar, additional, Roy, Sourashis, additional, Shishodia, Mayank Singh, additional, Sun, Tianhang, additional, Tang, Ye (Justin), additional, Tatemura, Junichi, additional, Trehan, Sagar, additional, Vadali, Ramkumar, additional, Venkatasubramanian, Prasanna, additional, Zhang, Gensheng, additional, Zhang, Kefei, additional, Zhang, Yupu, additional, Zhuang, Zeleng, additional, Graefe, Goetz, additional, Agrawal, Divyakant, additional, Naughton, Jeff, additional, Kosalge, Sujata, additional, and Hacıgümüş, Hakan, additional

Published
2021
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9. DIAMetrics

Author

Deep, Shaleen, primary, Gruenheid, Anja, additional, Nagaraj, Kruthi, additional, Naito, Hiro, additional, Naughton, Jeff, additional, and Viglas, Stratis, additional

Published
2021
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10. DIFF: a relational interface for large-scale data explanation

Author

Abuzaid, Firas, primary, Kraft, Peter, additional, Suri, Sahaana, additional, Gan, Edward, additional, Xu, Eric, additional, Shenoy, Atul, additional, Ananthanarayan, Asvin, additional, Sheu, John, additional, Meijer, Erik, additional, Wu, Xi, additional, Naughton, Jeff, additional, Bailis, Peter, additional, and Zaharia, Matei, additional

Published
2020
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11. F1 lightning

Author

Yang, Jiacheng, primary, Rae, Ian, additional, Xu, Jun, additional, Shute, Jeff, additional, Yuan, Zhan, additional, Lau, Kelvin, additional, Zeng, Qiang, additional, Zhao, Xi, additional, Ma, Jun, additional, Chen, Ziyang, additional, Gao, Yuan, additional, Dong, Qilin, additional, Zhou, Junxiong, additional, Wood, Jeremy, additional, Graefe, Goetz, additional, Naughton, Jeff, additional, and Cieslewicz, John, additional

Published
2020
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12. DIAMetrics

Author

Deep, Shaleen, primary, Gruenheid, Anja, additional, Nagaraj, Kruthi, additional, Naito, Hiro, additional, Naughton, Jeff, additional, and Viglas, Stratis, additional

Published
2020
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13. The Lowell database research self-assessment

Author

Abiteboul, Serge, Agarwal, Rakesh, Bernstein, Phil, Carey, Mike, Ceri, Stefano, Ullman, Jeff, Schek, Hans, Kersten, Martin, Gray, Jim, Croft, Bruce, Gerhard, Weikum, Sellis, Timos, Pazzani, Michael, Haas, Laura, DeWitt, David, Widom, Jennifer, Silberschatz, Avi, Lesk, Mike, Halevy, Alon, Zdonik, Stan, Stonebraker, Mike, Maier, David, Hellerstein, Joe, Molina, Hector Garcia, Snodgrass, Rick, Naughton, Jeff, and Gawlick, Dieter

Subjects
DBMS utility, DBMS, CD-ROM catalog, CD-ROM database, Database, Market trend/market analysis, Database management systems -- Product development, Architectural engineering -- Forecasts and trends, Databases -- Research
Published
2005

14. Incidence and Risk Factors for Renal Disease in an Outpatient Cohort of HIV-Infected Patients on Antiretroviral Therapy

Author

Doshi, Saumil, primary, Ucanda, Martin, additional, Hart, Rachel, additional, Hou, Qingjiang, additional, Terzian, Arpi S., additional, Subramanian, Thilakavathy, additional, Binkley, Jeffery, additional, Taylor, Rob, additional, Rayeed, Nabil, additional, Akridge, Cheryl, additional, Purinton, Stacey, additional, Naughton, Jeff, additional, D'Angelo, Lawrence, additional, Kharfen, Michael, additional, Wood, Angela, additional, Serlin, Michael, additional, Kumar, Princy, additional, Parenti, David, additional, Castel, Amanda, additional, Greenberg, Alan, additional, Monroe, Anne, additional, Happ, Lindsey Powers, additional, Jaurretche, Maria, additional, Lewis, Brittany, additional, Peterson, James, additional, Younes, Naji, additional, Wilcox, Ronald, additional, Rana, Sohail, additional, Horberg, Michael, additional, Fernandez, Ricardo, additional, Hebou, Annick, additional, Dieffenbach, Carl, additional, Masur, Henry, additional, Bordon, Jose, additional, Teferi, Gebeyehu, additional, Benator, Debra, additional, Ruiz, Maria Elena, additional, Goldstein, Deborah, additional, and Hardy, David, additional

Published
2019
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16. Author Correction: A cross-sectional study to characterize local HIV-1 dynamics in Washington, DC using next-generation sequencing.

Author

Gibson, Keylie M., Jair, Kamwing, Castel, Amanda D., Bendall, Matthew L., Wilbourn, Brittany, Jordan, Jeanne A., Crandall, Keith A., Pérez-Losada, Marcos, the DC Cohort Executive Committee, Subramanian, Thilakavathy, Binkley, Jeffery, Taylor, Rob, Rayeed, Nabil, Akridge, Cheryl, Purinton, Stacey, Naughton, Jeff, Rakhmanina, Natella, D'Angelo, Larry, Kharfen, Michael, and Wood, Angela

Subjects
CROSS-sectional method, HIV, NUCLEOTIDE sequencing
Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper. [ABSTRACT FROM AUTHOR]

Published
2020
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17. Despite early Medicaid expansion, decreased durable virologic suppression among publicly insured people with HIV in Washington, DC: a retrospective analysis.

Author

Goldstein, Deborah, Hardy, W. David, Monroe, Anne, Hou, Qingjiang, Hart, Rachel, Terzian, Arpi, on behalf of the DC Cohort Executive Committee, Subramanian, Thilakavathy, Binkley, Jeffery, Taylor, Rob, Rayeed, Nabil, Akridge, Cheryl, Purinton, Stacey, Naughton, Jeff, D'Angelo, Lawrence, Rahkmanina, Natella, Kharfen, Michael, Wood, Angela, Serlin, Michael, and Kumar, Princy

Subjects
HIV, MEDICAID, VIROLOGY, ANTIRETROVIRAL agents, UNEMPLOYMENT
Abstract

Background: Despite widely available access to HIV care in Washington, DC, inequities in HIV outcomes persist. We hypothesized that laboratory monitoring and virologic outcomes would not differ significantly based on insurance type.Methods: We compared HIV monitoring with outcomes among people with HIV (PWH) with private (commercial payer) versus public (Medicare, Medicaid) insurance receiving care at community and hospital clinics. The DC Cohort follows over 8000 PWH from 14 clinics. We included those ≥18 years old enrolled between 2011 and 2015 with stable insurance. Outcomes included frequency of CD4 count and HIV RNA monitoring (> 2 lab measures/year, > 30 days apart) and durable viral suppression (VS; HIV RNA < 50 copies/mL at last visit and receiving antiretroviral therapy (ART) for ≥12 months). Multivariable logistic regression models examined impact of demographic and clinical factors.Results: Among 3908 PWH, 67.9% were publicly-insured and 58.9% attended community clinics. Compared with privately insured participants, a higher proportion of publicly insured participants had the following characteristics: female sex, Black race, heterosexual, unemployed, and attending community clinics. Despite less lab monitoring, privately-insured PWH had greater durable VS than publicly-insured PWH (ART-naïve: private 70.0% vs public 53.1%, p = 0.03; ART-experienced: private 80.2% vs public 69.4%, p < 0.0001). Privately-insured PWH had greater durable VS than publicly-insured PWH at hospital clinics (AOR = 1.59, 95% CI: 1.20, 2.12; p = 0.001).Conclusions: Paradoxical differences between HIV monitoring and durable VS exist among publicly and privately-insured PWH in Washington, DC. Programs serving PWH must improve efforts to address barriers creating inequity in HIV outcomes. [ABSTRACT FROM AUTHOR]

Published
2020
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18. DIFF

Author

Abuzaid, Firas, primary, Kraft, Peter, additional, Suri, Sahaana, additional, Gan, Edward, additional, Xu, Eric, additional, Shenoy, Atul, additional, Ananthanarayan, Asvin, additional, Sheu, John, additional, Meijer, Erik, additional, Wu, Xi, additional, Naughton, Jeff, additional, Bailis, Peter, additional, and Zaharia, Matei, additional

Published
2018
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19. Technical Perspective

Author

Konda, Pradap, primary, Das, Sanjib, additional, Suganthan G.C., Paul, additional, Martinkus, Philip, additional, Ardalan, Adel, additional, Ballard, Jeffrey R., additional, Govind, Yash, additional, Li, Han, additional, Panahi, Fatemah, additional, Zhang, Haojun, additional, Naughton, Jeff, additional, Prasad, Shishir, additional, Krishnan, Ganesh, additional, Deep, Rohit, additional, and Raghavendra, Vijay, additional

Published
2018
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20. Magellan

Author

Konda, Pradap, primary, Das, Sanjib, additional, C., Paul Suganthan G., additional, Doan, AnHai, additional, Ardalan, Adel, additional, Ballard, Jeffrey R., additional, Li, Han, additional, Panahi, Fatemah, additional, Zhang, Haojun, additional, Naughton, Jeff, additional, Prasad, Shishir, additional, Krishnan, Ganesh, additional, Deep, Rohit, additional, and Raghavendra, Vijay, additional

Published
2016
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21. Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics

Author

Lee, Kukjin, primary, König, Arnd Christian, additional, Narasayya, Vivek, additional, Ding, Bolin, additional, Chaudhuri, Surajit, additional, Ellwein, Brent, additional, Eksarevskiy, Alexey, additional, Kohli, Manbeen, additional, Wyant, Jacob, additional, Prakash, Praneeta, additional, Nehme, Rimma, additional, Li, Jiexing, additional, and Naughton, Jeff, additional

Published
2016
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22. Immunosuppression and HIV Viremia Associated with More Atherogenic Lipid Profile in Older People with HIV.

Author

Levy, Matthew E., Greenberg, Alan E., Magnus, Manya, Younes, Naji, Castel, Amanda, Subramanian, Thilakavathy, Binkley, Jeffery, Taylor, Rob, Rayeed, Nabil, Hou, Qingjiang, Akridge, Cheryl, Purinton, Stacey, Naughton, Jeff, D'Angelo, Lawrence, Rakhmanina, Natella, Kharfen, Michael, Serlin, Michael, Kumar, Princy, Parenti, David, and Monroe, Anne

Abstract

To explore reasons for the disproportionate metabolic and cardiovascular disease burdens among older HIV-infected persons, we investigated whether associations of CD4 count and HIV viral load (VL) with non-high-density lipoprotein cholesterol (non-HDL-C) and high-density lipoprotein cholesterol [HDL-C] differed by age. Longitudinal clinical and laboratory data were collected between 2011 and 2016 for HIV-infected outpatients in the DC Cohort study. Using data for patients aged ≥21 years with ≥1 cholesterol result and contemporaneous CD4/VL results, we created multivariable linear regression models with generalized estimating equations. Among 3,912 patients, the median age was 50 years, 78% were male, 76% were non-Hispanic black, 93% were using antiretroviral therapy, 8% had a CD4 count <200 cells/μL, and 18% had an HIV VL ≥200 copies/mL. Overall, CD4 count <200 (vs. >500) cells/μL and VL ≥200 copies/mL were associated with lower non-HDL-C concentrations (p < .01), but associations were more positive with increasing age (CD4–age/VL–age interactions, p < .01). CD4 count <200 cells/μL was associated with lower non-HDL-C among patients aged <50 years [β = −7.8 mg/dL (95% confidence interval, CI: −13.2 to −2.4)] but higher non-HDL-C among patients aged 60–69 years [β = +8.1 mg/dL (95% CI: 0.02–16.2)]. VL ≥200 copies/mL was associated with lower non-HDL-C among patients aged <50 years [β = −3.3 mg/dL (95% CI: −6.7 to 0.1)] but higher non-HDL-C among patients aged ≥70 years [β = +16.0 mg/dL (95% CI: −1.4 to 33.3)], although precision was reduced in age-stratified analyses. Although no age differences were detected for HDL-C, VL ≥200 copies/mL was more strongly associated with lower HDL-C concentrations when CD4 count was <200 cells/μL [β = −7.0 mg/dL (95% CI: −9.7 to −4.3)] versus 200–500 cells/μL [β = −4.2 (95% CI: −5.9 to −2.6)] or >500 cells/μL [β = −2.2 (95% CI: −3.7 to −0.8)] (CD4–VL interaction, p < .01). We detected a novel age-modified relationship between immunosuppression and viremia and atherogenic cholesterol patterns. These findings may contribute to our understanding of the high risk of dyslipidemia observed among persons aging with HIV. [ABSTRACT FROM AUTHOR]

Published
2019
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23. The Asilomar report on database research

Author

Bernstein, Phil, primary, Brodie, Michael, additional, Ceri, Stefano, additional, DeWitt, David, additional, Franklin, Mike, additional, Garcia-Molina, Hector, additional, Gray, Jim, additional, Held, Jerry, additional, Hellerstein, Joe, additional, Jagadish, H. V., additional, Lesk, Michael, additional, Maier, Dave, additional, Naughton, Jeff, additional, Pirahesh, Hamid, additional, Stonebraker, Mike, additional, and Ullman, Jeff, additional

Published
1998
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