7 results on '"Block, Jessica"'
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2. Greater Wound and Renal Complications in Gout Patients Undergoing Total Joint Arthroplasty.
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Chen, Chi-Lung, Shao, Hongyi, Block, Jessica L., and Chen, Antonia F.
- Abstract
Background: Little is known about total joint arthroplasty (TJA) outcomes in gout patients. The purpose of this study was to compare adverse events between gout and nongout patients who underwent primary TJA.Methods: Using our institutional database and medical records review, a retrospective case-control study was conducted. From 2000 to 2012, a total of 482 gout TJA patients were matched with nongout TJA patients in a 1:1 ratio. Length of stay, complications, 90-day emergency room visits, and 90-day readmissions in these patients were compared.Results: Gout patients had greater wound healing problems (12.2% vs 5.0%, P = .001) and renal complications (8.9% vs 3.1%, P = .0003) compared with nongout patients. There were no significant differences between gout and nongout patients in terms of mean length of hospital stay (3.82 vs 3.17 days, P = .11) and 90-day emergency room visits (5.6% vs 3.5%, P = 1.00). Subgroup analysis showed that 90-day readmission rates were higher in gout patients who underwent total hip arthroplasty compared with those in nongout THA patients (6.8% vs 2.1%, P = .02).Conclusion: Gout patients undergoing TJA have greater wound healing problems and renal complications. Surgeons should be cognizant of fluid management, renal monitoring and wound issues and should be cautious when treating TJA gout patients. [ABSTRACT FROM AUTHOR]- Published
- 2016
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3. Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires.
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Altintas, Ilkay, Block, Jessica, de Callafon, Raymond, Crawl, Daniel, Cowart, Charles, Gupta, Amarnath, Nguyen, Mai, Braun, Hans-Werner, Schulze, Jurgen, Gollner, Michael, Trouve, Arnaud, and Smarr, Larry
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WILDFIRES ,STATISTICAL decision making ,PREDICTION models ,CYBERINFRASTRUCTURE ,URBANIZATION ,WIND speed - Abstract
Wildfires are critical for ecosystems in many geographical regions. However, our current urbanized existence in these environments is inducing the ecological balance to evolve into a different dynamic leading to the biggest fires in history. Wildfire wind speeds and directions change in an instant, and first responders can only be effective if they take action as quickly as the conditions change. What is lacking in disaster management today is a system integration of real-time sensor networks, satellite imagery, near-real time data management tools, wildfire simulation tools, and connectivity to emergency command centers before, during and after a wildfire. As a first time example of such an integrated system, the WIFIRE project is building an end-to-end cyberinfrastructure for real-time and data-driven simulation, prediction and visualization of wildfire behavior. This paper summarizes the approach and early results of the WIFIRE project to integrate networked observations, e.g., heterogeneous satellite data and real-time remote sensor data with computational techniques in signal processing, visualization, modeling and data assimilation to provide a scalable, technological, and educational solution to monitor weather patterns to predict a wildfire's Rate of Spread. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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4. Estimation of wildfire wind conditions via perimeter and surface area optimization.
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Tan, Li, de Callafon, Raymond A., Block, Jessica, Crawl, Daniel, Çağlar, Tolga, and Altıntaş, Ilkay
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SURFACE area ,WILDFIRES ,WILDFIRE prevention ,WIND speed - Abstract
This paper shows that the prediction capability of wildfire progression can be improved by estimation of a single prevailing wind vector parametrized by a wind speed and a wind direction to drive a wildfire simulation created by FARSITE. Estimations of these wind vectors are achieved in this work by a gradient-free optimization via a grid search that compares wildfire model simulations with measured wildfire perimeters, where noisy observations are modeled as uncertainties on the locations of the vertices of the measured wildfire perimeters. Two optimizations are established to acquire the optimal wind speed and wind direction. To formulate a perimeter optimization, an uncertainty-weighted least-squares error is computed between the vertices of the simulated and measured wildfire perimeter. The challenge in this approach is to match the number of vertices on the simulated and measured wildfire perimeter via interpolation of perimeter points and their uncertainties. For a surface area optimization, an uncertainty-weighted surface area error is introduced to capture the surface of the union minus the intersection of the simulated and measured wildfire perimeter. The challenge in this approach is to formulate a surface area error, weighted by the uncertainties on the locations of the vertices of the measured wildfire perimeter. The optimization in this paper is based on an iterative refinement of a grid of the wind vector and provides robustness to intermittent erroneous results produced by FARSITE, while allowing parallel execution of wildfire model calculations. This paper is an extension of the work in Tan et al., (2021). Results on wind vector estimation are illustrated on two historical wildfire events: the 2019 Maria Fire that burned south of the community of Santa Paula in the area of Somis, CA, and the 2019 Cave Fire that started in the Santa Ynez Mountains of Santa Barbara County. • Improve prediction capability of wildfire progression by estimating the predominant wind conditions. • Perimeter optimization and surface area optimization are introduced for the estimation of wind conditions. • Numerical results are illustrated on two historical wildfire events, Maria Fire and Cave Fire in California. [ABSTRACT FROM AUTHOR]
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- 2022
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5. Incidence of preoperative hyperglycemia
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Block, Jessica L., Shanks, Amy, Morris, Michelle, and Turner, Christopher R.
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- 2008
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6. Infant responding to joint attention, executive processes, and self-regulation in preschool children
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Vaughan Van Hecke, Amy, Mundy, Peter, Block, Jessica J., Delgado, Christine E.F., Parlade, Meaghan V., Pomares, Yuly B., and Hobson, Jessica A.
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JOINT attention , *EXECUTIVE function , *AUTODIDACTICISM , *PSYCHOLOGY of preschool children , *STATISTICAL hypothesis testing , *CROSS-sectional method - Abstract
Abstract: Infant joint attention is related to behavioral and social outcomes, as well as language in childhood. Recent research and theory suggests that the relations between joint attention and social–behavioral outcomes may reflect the role of executive self-regulatory processes in the development of joint attention. To test this hypothesis two studies were conducted. The first, cross-sectional study examined the development of responding to joint attention (RJA) skill in terms of increasing executive efficiency of responding between 9 and 18 months of age. The results indicated that development of RJA was characterized by a decreased latency to shift attention in following another person''s gaze and head turn, as well as an increase in the proportion of correct RJA responses exhibited by older infants. The second study examined the longitudinal relations between 12-month measures of responding to joint attention and 36-month attention regulation in a delay of gratification task. The results indicated that responding to joint attention at 12-months was significantly related to children''s use of three types of self-regulation behaviors while waiting for a snack reward at 36 months of age. These observations are discussed in light of a developmental theory of attention regulation and joint attention in infancy. [Copyright &y& Elsevier]
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- 2012
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7. Marital benefit and coping strategies in men and women undergoing unsuccessful fertility treatments over a 5-year period
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Peterson, Brennan D., Pirritano, Matthew, Block, Jessica M., and Schmidt, Lone
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MALE infertility treatment , *FEMALE infertility , *LONGITUDINAL method , *COHORT analysis , *HEALTH outcome assessment , *PSYCHOLOGICAL adaptation , *COUPLES , *PUBLIC hospitals , *THERAPEUTICS - Abstract
Objective: To assess the relationship between infertility, marital benefit, and coping in a sample of men and women undergoing unsuccessful fertility treatments. Design: Prospective longitudinal cohort design using multilevel modeling. Setting: Danish public and private hospitals (n = 5) specializing in treating fertility patients. Patient(s): Participants were Danish men and women about to start a cycle of medically assisted reproduction treatment who were followed for a 5-year period of unsuccessful treatments. Intervention(s): None. Main Outcome Measure(s): The Copenhagen Multicenter Psychosocial Infertility research program Coping Strategy Scales and Marital Benefit Measure. Result(s): Compared with men, a greater percentage of women reported high levels of marital benefit. For active-avoidance coping, there was a significant partner effect by gender interaction. Meaning-based strategies increased between 1 and 5 years for men and women. The use of meaning-based coping had a significant positive actor effect with marital benefit for both men and women. Conclusion(s): Approximately one-third of participants undergoing unsuccessful fertility treatments reported high marital benefit as a positive consequence of the infertility experience. Partner effects for men and women related to active-avoidance coping may be related to the degree of emotional support that each spouse can offer the other, whereas differences in meaning-based coping indicate a possible timing effect related to gender. [ABSTRACT FROM AUTHOR]
- Published
- 2011
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