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251 results on '"Kapadia, Nirav"'

54. SGC-AAK1-1: A Chemical Probe Targeting AAK1 and BMP2K

Author

Wells, Carrow, primary, Couñago, Rafael M., additional, Limas, Juanita C., additional, Almeida, Tuanny L., additional, Cook, Jeanette Gowen, additional, Drewry, David H., additional, Elkins, Jonathan M., additional, Gileadi, Opher, additional, Kapadia, Nirav R., additional, Lorente-Macias, Alvaro, additional, Pickett, Julie E., additional, Riemen, Alexander, additional, Ruela-de-Sousa, Roberta R., additional, Willson, Timothy M., additional, Zhang, Cunyu, additional, Zuercher, William J., additional, Zutshi, Reena, additional, and Axtman, Alison D., additional

Published
2019
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55. A Chemical Probe Targeting AAK1 and BMP2K

Author

Wells, Carrow, primary, Counago, Rafael, primary, Limas, Juanita C., primary, Almeida, Tuanny L., primary, Cook, Jeanette G., primary, Drewry, David, primary, Elkins, Jonathan, primary, Gileadi, Opher, primary, Kapadia, Nirav, primary, Lorente-Macías, Álvaro, primary, Pickett, Julie E., primary, Riemen, Alexander J., primary, R. Ruela-de-Sousa, Roberta, primary, Willson, Timothy M., primary, Zhang, Cunyu, primary, Zuercher, William J., primary, Zutshi, Reena, primary, and Axtman, Alison D., primary

Published
2019
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58. Open Lab Notebooks: An Extreme Open Science Initiative - Open Notebooker Presentations - Project Introductions

Author

Alamillo, Carla, Dilworth, David, Luciani, Genna, Zhang, Heng, Ho, Jolene, Fu Wong, Jong, Brown, Elizabeth, Mann, Mandeep, Abbey, Megha, Kapadia, Nirav, and Adamson, Roslin

Abstract

The Open Notebooker'spresentations for Structural Genomics Consortium (SGC) meeting "Open Lab Notebooks: An Extreme Open Science Initiative"http://www.thesgc.org/open-lab-notebooks-2018January 19, 2018 in Ottawa, Ontario, Canada. Meeting supported by Canadian Institutes of Health Research (CIHR) and the Wellcome Trust. Twitter hashtag was #SGCOpenNotebooks &nbsp

Published
2018
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62. AAK1 inhibits WNT signaling by promoting clathrin-mediated endocytosis of LRP6

Author

Agajanian, Megan J., primary, Walker, Matthew P., additional, Axtman, Alison D., additional, Ruela-de-Sousa, Roberta R., additional, Rabinowitz, Alex D., additional, Graham, David M., additional, Ryan, Meagan, additional, Serafin, D. Stephen, additional, Bennett, James M., additional, Couñago, Rafael M., additional, Drewry, David H., additional, Elkins, Jonathan M., additional, Gileadi, Carina, additional, Gileadi, Opher, additional, Godoi, Paulo H., additional, Kapadia, Nirav, additional, Müller, Susanne, additional, Santiago, André S., additional, Sorrell, Fiona J., additional, Wells, Carrow I., additional, Fedorov, Oleg, additional, Willson, Timothy M., additional, Zuercher, William J., additional, and Major, Michael B., additional

Published
2018
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65. A Transcription-uncoupled Negative Feedback Loop for the 1 WNT Pathway: WNT Activates the AAK1 Kinase to Promote Clathrin-mediated Endocytosis of LRP6

Author

Agajanian, Megan J., primary, Walker, Matthew P., additional, Axtman, Alison D., additional, Ruela-de-Sousa, Roberta R., additional, Rabinowitz, Alex D., additional, Graham, David M., additional, Ryan, Meagan, additional, Serafin, D. Stephen, additional, Gammons, Melissa V., additional, Bennett, James M., additional, Couuago, Rafael M., additional, Drewry, David H., additional, Elkins, Jonathan M., additional, Gileadi, Carina, additional, Gileadi, Opher, additional, Godoi, Paulo H., additional, Kapadia, Nirav, additional, MMller, Susanne, additional, Santiago, Andrr S., additional, Sorrell, Fiona J., additional, Wells, Carrow I., additional, Fedorov, Oleg, additional, Willson, Timothy M., additional, Zuercher, William J., additional, and Major, Michael B., additional

Published
2018
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67. Decreased Lung Perfusion After Breast/Chest Wall Irradiation: Quantitative Results From a Prospective Clinical Trial

Author

Liss, Adam L., primary, Marsh, Robin B., additional, Kapadia, Nirav S., additional, McShan, Daniel L., additional, Rogers, Virginia E., additional, Balter, James M., additional, Moran, Jean M., additional, Brock, Kristy K., additional, Schipper, Matt J., additional, Jagsi, Reshma, additional, Griffith, Kent A., additional, Flaherty, Kevin R., additional, Frey, Kirk A., additional, and Pierce, Lori J., additional

Published
2017
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72. Medicare Utilization and Spending Among Nurses Compared with the General United States Population.

Author

Austin, Andrea M., Carmichael, Donald Q., Wang, Qianfei, Erekson, Elisabeth D., Bynum, Julie P.W., Kapadia, Nirav S., Tosteson, Anna N.A., Feskanich, Diane, and Grodstein, Francine

Subjects
MEDICARE, ALGORITHMS, COMPARATIVE studies, HEALTH status indicators, OUTPATIENT services in hospitals, LONGITUDINAL method, MEDICAL care use, NURSES' attitudes, PRIMARY health care, OPERATIVE surgery, COMORBIDITY, FEE for service (Medical fees), PATIENTS' attitudes, EARLY detection of cancer
Abstract

Background: To better understand health habits in older nurses versus the general population, we sought to determine whether the demographics, health care utilization, and Medicare spending by the Nurses' Health Study (NHS) participants enrolled in Medicare and a matched sample of Medicare beneficiaries meaningfully differed. Materials and Methods: Analytic cohorts included a random 20% sample of Medicare beneficiaries continuously enrolled in fee for service (FFS) Medicare that were propensity matched to the NHS participants continuously enrolled in FFS Medicare in a single year (2012). Matching was based upon preselected demographic factors and health status, using a nearest-neighbor matching algorithm to obtain a 1:1 match without replacement. Healthcare utilization and spending were compared between the two groups; we also stratified findings by number of chronic comorbidities. Results: Similar rates of utilization of primary care and most outpatient services. However, NHS participants had slightly higher rates of cancer screening, specialist care, and inpatient surgery were observed. When stratified by comorbidity status, the largest differences in utilization and spending were found in women with no comorbidity. Conclusions: The modest differences in observed healthcare utilization and spending suggest that older healthcare professionals may access care in fairly similar ways to the general population, and that health status may be a more important determinant of utilization and spending than health profession in older age groups. [ABSTRACT FROM AUTHOR]

Published
2018
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74. Development of a new photonumeric scale for acute radiation dermatitis in patients with breast cancer.

Author

Shumway, Dean, primary, Walker, Eleanor M., additional, Kapadia, Nirav S., additional, Do, Thy Thy, additional, Griffith, Kent A., additional, Feng, Mary Uan-Sian, additional, DePalma, Bonnie, additional, Helfrich, Yolanda R., additional, Gillespie, Erin, additional, Miller, Alexandria, additional, Jagsi, Reshma, additional, and Pierce, Lori J., additional

Published
2015
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75. Abstract P1-15-12: Development of a photonumeric scale for acute radiation dermatitis in breast cancer patients

Author

Shumway, Dean, primary, Walker, Eleanor M, additional, Kapadia, Nirav, additional, Do, Thy Thy, additional, Griffith, Kent, additional, Feng, Mary, additional, DePalma, Bonnie, additional, Jagsi, Reshma, additional, Helfrich, Yolanda, additional, Gillespie, Erin, additional, Miller, Alexandria, additional, Liss, Adam, additional, and Pierce, Lori J, additional

Published
2015
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81. Resource-Usage Prediction for Demand-Based Network-Computing

Author

Kapadia, Nirav H., Brodley, Carla E., Fortes, José A. B., and Lundstrom, Mark S.

Abstract

This document reports on an application of artificial intelligence to achieve demand-based scheduling within the context of a network-computing infrastructure. The described A1 sub-system uses tool-specific, run-time input to predict the resoura:-usage characteristics of runs. Instance-based learning with locally weighted polynornial regression is employed because of the need to simultaneoi~sly learn multiplr: polynomial concepts and the fact that knowledge is acquired increnlentally in this dornain. An innovative combination of a two-level knowledge base, and age and usage s~.atisticsa re used to: a) detect inadequate and noisy feature-vectors, 13) account for short-term variations in compute-server and network performance, and c) exploit temporal and spatial locality of runs. Modifications to the basic learning algorithm allow the approach to be computationally feasible for extended use and noise tolerant by se1ec:tively adding feature-vectors into the knowledge base and discarding featurevectors that consistently result in inaccurate predictions, respectively. The learning system was tested on three semiconductor simulation tools during normal use of the Purdue University Network Computing Hub during Fall 1997, and on four synthetic data-sets. Results indicate that the described instance-based learning technique using locally weighted regression with a locally linear model works well for this domain.

Published
1998

84. A SIMD SPARSE MATRIX-VECTOR MULTIPLICATION ALGORITHM FOR COMPUTATIONAL ELECTROMAGNETICS AND SCATTERING MATRIX MODELS

Author

Kapadia, Nirav Harish

Abstract

A large number of problems in numerical analysis require the multiplication of a sparse matrix by a vector. In spite of the large amount of fine-grained parallelism available in the process of sparse matrix-vector multiplication, it is difficult to design an algorithm for distributed memory SIMD computers that can efficiently multiply an arbitrary sparse matrix by a vector. The difficulty lies in the irregular nature of the data structures required to efficiently store arbitrary sparse matrices, and the architectural constraints of a SIMD computer. We propose a new algorithm that allows the "regularity" of a data structure that uses a row-major mapping to be varied by a changing a parameter (the "block size"). The (block row) algorithm assumes that the number of non-zero elements in each row is a multiple of the blocksize; (additional) zero entries are stored to satisfy this condition. The blocksize can be varied from one to N, where N is the size of the matrix; a blocksize of one results in a rcw-major distribution of the non-zero elements of the matrix (no oveahead of storing zcxo elements), while a blocksize of N results in a row-major distribution corresponding to that of a dense matrix. The algorithm was irnplemerlted on a 16,384 processor MasPar MP-1, and for the matrices associated with ithe applications considered here (S-Matrix Approach to Device Simulation, and tlhe Modeling of Diffractive and Scattering Objects), the algorithm was faster than ainy of the other algorithms considered (the "snake-like" method, the "segmented-scan" method, and a randomized packing algorithm). For matrices that have a wide variation in the number of non-zero elements in each row, a procedure for an "adaptive" block row allgorithrn is briefly mentioned. The block row algorithm is applicable to unstructured sllarse matrices which have relatively sparse columns (dense rows arc: not a problem), and it can be implemented on any distributed memory computer.

Published
1994

85. Active yellow pages: a pipelined resource management architecture for wide-area network computing

Author

Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. DSG - Distributed Systems Group, Royo Vallés, María Dolores, Díaz de Cerio Ripalda, Luis Manuel, Kapadia, Nirav H., Fortes, José Antonio Bautista, Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. DSG - Distributed Systems Group, Royo Vallés, María Dolores, Díaz de Cerio Ripalda, Luis Manuel, Kapadia, Nirav H., and Fortes, José Antonio Bautista

Abstract

This paper describes a novel, pipelined resource management architecture for computational grids. The design is based on two key realizations. One is that resource management involves a sequence of tasks that is best handled by a pipeline. As shown in the paper, this approach results, in a scalable architecture for decentralized scheduling. The other realization is that static aggregation of resources for improved scheduling is inadequate in wide-area computing environments because the needs of users and jobs change with both, location and time. The described architecture addresses this problem by dynamically aggregating resources in a manner that continuously optimizes system response. This is accomplished by way of an active yellow pages directory that allows aggregation constraints to be (re)defined on the fly. An initial prototype of the active yellow pages service has been deployed in the PUNCH network computing environment. Experiences with the production PUNCH system and preliminary results from controlled experiments indicate that the active yellow pages service performs well., Peer Reviewed

Published
2001

88. Shoulder Pain

Author

Demetracopoulos, Constantine A., primary, Kapadia, Nirav S., additional, Selhi, Harpal S., additional, and McFarland, Edward G., additional

Published
2005
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90. Punch: Web portal for running tools

Author

Kapadia, Nirav, H., Figueiredo, Renatol, J., and Fortes, Jose, A.B.

Subjects
Computer architecture -- Research, Network computers -- Usage
Published
2000

93. Aporphinoid Antagonists of 5- HT2A Receptors: Further Evaluation of Ring A Substituents and the Size of Ring C.

Author

Ponnala, Shashikanth, Kapadia, Nirav, Navarro, Hernán A., and Harding, Wayne W.

Subjects
*HALOGENATION, *BROMINATION, *IODINATION, *MOLECULAR docking, *APORPHINE
Abstract

A series of ring A-modified analogs of nantenine as well as structural variants in ring C were synthesized and evaluated for antagonist activity at 5- HT2A and α1A receptors. Halogenation improves 5-HT2A antagonist potency in molecules containing a C1 methoxyl/C2 methoxyl or C1 methoxyl/C2 hydroxyl moiety. Bromination or iodination (but not chlorination) with the latter moiety also significantly increased α1A antagonist potency. Homologation or contraction of ring C adversely affected antagonist activity at both receptors, implying that a six-membered ring C motif is beneficial for high antagonist potency at both receptors. Molecular docking studies suggest that the improved antagonist activity (by virtue of improved affinity) of C3-halogenated aporphines in this study is attributable to favorable interactions with the C3 halogen and F339 and/or F340. [ABSTRACT FROM AUTHOR]

Published
2014
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95. “I didn’t go into medicine just to be on the phone”: Emotional Expression as Sacrosanct During Derious Illness Patient-Physician Advanced Cancer Care Communication During the COVID-19 Pandemic.

Author

Kaur-Gill, Satveer, Drummond, Darlene K., Zhang, Jingyi, Butcher, Rebecca, Eggly, Susan, Schifferdecker, Karen, Brooks, Gabriel A., Murray, Genevra F., Kapadia, Nirav S., Hanson, Laura C., and Barnato, Amber E.

Subjects
*COVID-19 pandemic, *SELF-expression, *TERMINAL care, *SOCIAL distancing, *PSYCHOLOGICAL distress
Abstract

Guided by communication accommodation theory, we studied 27 physician reports of patient-physician advanced cancer communication during the COVID-19 pandemic. Advanced cancer communication requires recognizing patients’ psychosocial states and collaboratively engaging patients empathetically to develop the shared understanding necessary to guide decision-making. However, physicians found their communication underaccommodated, stemming from personal protection equipment, social distancing, and telemedicine. Based on provider perspectives, our study identified that during advanced cancer communication, emotional expression was critical for reflecting care and concern to patients, and discourse management was central to showing interest and engagement to patients by their providers. The failure to convey emotional expression to patients meant rapport-building cues were missing, impeding discourse management when navigating difficult conversations about prognosis and end-of-life care. Despite efforts to adjust emotional expression and discourse management during the pandemic to address the needs of their patients, providers were dissatisfied with their communication outcomes. Physicians struggled to relay verbal and nonverbal emotional expressions effectively, supportively, and compassionately to patients when breaking bad news during advanced cancer communication, resulting in a profound source of moral and emotional distress. [ABSTRACT FROM AUTHOR]

Published
2024
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