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  1. Article: The Relative Influence of Diseases and Other Small-Scale Disturbances on Fuel Loading in the Black Hills.

    Lundquist, J E

    Plant disease

    2019  Volume 91, Issue 2, Page(s) 147–152

    Abstract: Disturbances that kill trees in forests often co-occur in time and/or space. This process results in changes in the fuel loading for wildfire. Determining specific causes of changing fuel loads can be complex. Path analysis was used to estimate the ... ...

    Abstract Disturbances that kill trees in forests often co-occur in time and/or space. This process results in changes in the fuel loading for wildfire. Determining specific causes of changing fuel loads can be complex. Path analysis was used to estimate the relative importance and the strength of interaction of each of nine small-scale disturbances affecting forest stands in the Black Hills. Different disturbances were partitioned according to their indirect and direct effects on fuel loads. Fire and wind had the greatest indirect effects; stem rots had the smallest. Root rots had the largest direct effects. Root rots, strong wind, stem rots, suppression, human disturbances, and tree cutting all caused fuel loads to increase. Treeless meadows, stem cankers, fire, ice/snow damage, failed regeneration, and shallow soil were associated with decreasing fuel loads. Grazing, lightning, bark beetles, and competition had null impacts. Disease control has two aims: reducing fire hazard and enhancing restoration. Understanding the biology and ecology of the agents that create dead wood is as fundamental to restoration ecology as it is to forest pathology. Management and control both begin by first determining the cause.
    Language English
    Publishing date 2019-02-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 754182-x
    ISSN 0191-2917
    ISSN 0191-2917
    DOI 10.1094/PDIS-91-2-0147
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Conference proceedings ; Online: The Sublimation of Snow (SOS) project

    Gutmann, E. / Lundquist, J. / Hogan, D. / Schwat, E. / Vano, J.

    XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)

    Deployment, initial results and implications for climate projections

    2023  

    Abstract: Spring snow melt plays a vital role in water resources; however, snow depletion by sublimation removes water before it is available for streams. The magnitude of sublimation is not well known, nor are the specific atmospheric conditions that lead to ... ...

    Abstract Spring snow melt plays a vital role in water resources; however, snow depletion by sublimation removes water before it is available for streams. The magnitude of sublimation is not well known, nor are the specific atmospheric conditions that lead to control it or how it will change in the future. The Sublimation of Snow (SOS) project is helping to understand the controls on sublimation using dense array of instrumentation in Colorado in the 2022-23 winter season. This will create a dataset that can test numerical models and highlight pathways to improve them. We are focused on the role of wind in sublimation, both in low-wind conditions where turbulence and stability compete, and higher-wind conditions when blowing snow factors in. In a future, warmer climate, it is likely that the atmospheric surface layer stability will increase and wind redistribution will be limited by increasing snow surface cohesion. However, this is offset by increases in sublimation and evaporation caused by increasing available energy and atmospheric demand. SOS measurements of turbulent fluxes along with snow depth and blowing snow characteristics will help to disentangle these competing factors. We present the deployment, and initial results showing measurements of blowing snow from lidars and the link between blowing snow and sublimation at the site. Finally we relate blowing snow fluxes to near surface air temperature and humidity to start to address the role climate change will have on snow sublimation.
    Subject code 551
    Language English
    Publishing date 2023-07-11
    Publishing country de
    Document type Conference proceedings ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Tuberculosis in Sweden and the fight against it in recent years.

    LUNDQUIST, J

    Tubercle

    2010  , Page(s) 39–43

    MeSH term(s) Aggression ; Biometry ; Sweden ; Tuberculosis/epidemiology ; Tuberculosis/statistics & numerical data
    Language English
    Publishing date 2010-10-10
    Publishing country Scotland
    Document type Journal Article
    ZDB-ID 208493-4
    ISSN 0041-3879
    ISSN 0041-3879
    DOI 10.1016/s0041-3879(46)80034-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: The organization of the fight against tuberculosis in Sweden.

    LUNDQUIST, J

    Le Poumon

    2007  Volume 5, Issue 2, Page(s) 61–69

    Title translation L'organisation de la lutte contre la tuberculose en Suède.
    MeSH term(s) Antibiotic Prophylaxis ; Tuberculosis/prevention & control
    Language French
    Publishing date 2007-12-15
    Publishing country France
    Document type Journal Article
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Angiographic and clinical outcomes from 396 aneurysms treated with the pipeline flex embolization device with shield technology.

    Lylyk, Ivan / Scrivano, Esteban / Lundquist, Javier / Bleise, Carlos / Perez, Nicolas / Lylyk, Pedro Nicolas / Nella-Castro, Rodolfo / Lylyk, Pedro

    Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences

    2024  , Page(s) 15910199241231018

    Abstract: Background: The PEDESTRIAN registry demonstrated high rates of complete long-term occlusion and good clinical outcomes among patients with intracranial aneurysms treated with the pipeline embolization device. The pipeline flex embolization device with ... ...

    Abstract Background: The PEDESTRIAN registry demonstrated high rates of complete long-term occlusion and good clinical outcomes among patients with intracranial aneurysms treated with the pipeline embolization device. The pipeline flex embolization device with shield technology was introduced to minimize thromboembolic complications. In this study, we investigated the safety and effectiveness of pipeline embolization device with shield technology among all patients treated for intracranial aneurysms at our center.
    Methods: This was a single-arm retrospective study of prospectively collected data of patients treated with pipeline embolization device with shield technology at our high-volume center between January 2018-January 2021. The primary efficacy endpoint was complete occlusion as measured by a class 1 Raymond-Roy score at 1-year and 2-year follow-up. The primary safety endpoint was major morbidity and neurological mortality up to 1 year following intervention.
    Results: A total of 328 patients (mean age 56.1 ± 14.7 years; 81.1% female), 80 of whom were previously included in PEDESTRIAN, with 396 aneurysms, were analyzed. A total of 378 devices were deployed, with 93.9% (372/396) of aneurysms requiring only one device. Follow-up angiography was available for 90.2% (296/328) of the procedures after a mean time of 14.0 ± 8.2 months. Complete occlusion was demonstrated for 78.5% (132/168) of aneurysms at 12 months and 90.7% (98/108) at 24 months. The overall rates of major morbidity and neurological mortality after 2 years were 1.5% (5/328) and 0.6% (2/328), respectively.
    Conclusion: Our results demonstrate high rates of complete long-term occlusion among patients treated with pipeline embolization device with shield technology. We also observed low rates of mortality and morbidity consistent with fewer thromboembolic complications with pipeline embolization devices with shield technology.
    Language English
    Publishing date 2024-04-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1354913-3
    ISSN 2385-2011 ; 1591-0199 ; 1123-9344
    ISSN (online) 2385-2011
    ISSN 1591-0199 ; 1123-9344
    DOI 10.1177/15910199241231018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Capnodynamic end-expiratory lung volume assessment in anesthetized healthy children.

    Lundquist, Johanna / Shams, Niki / Wallin, Mats / Hallbäck, Magnus / Lönnqvist, Per-Arne / Karlsson, Jacob

    Paediatric anaesthesia

    2023  Volume 34, Issue 3, Page(s) 251–258

    Abstract: Background: Capnodynamic lung function monitoring generates variables that may be useful for pediatric perioperative ventilation.: Aims: Establish normal values for end-expiratory lung volume CO: Methods: Fifteen pediatric patients with healthy ... ...

    Abstract Background: Capnodynamic lung function monitoring generates variables that may be useful for pediatric perioperative ventilation.
    Aims: Establish normal values for end-expiratory lung volume CO
    Methods: Fifteen pediatric patients with healthy lungs (median age 8 months, range 1-36 months) undergoing general anesthesia were examined before start of surgery. Tested variables were recorded at baseline positive end-expiratory pressure 3 cmH
    Results: Baseline end-expiratory lung volume CO
    Conclusions: Capnodynamic noninvasive and continuous end-expiratory lung volume CO
    MeSH term(s) Humans ; Child ; Infant ; Child, Preschool ; Carbon Dioxide ; Lung Volume Measurements ; Respiration ; Positive-Pressure Respiration ; Lung ; Anesthesia, General ; Tidal Volume
    Chemical Substances Carbon Dioxide (142M471B3J)
    Language English
    Publishing date 2023-12-06
    Publishing country France
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1086049-6
    ISSN 1460-9592 ; 1155-5645
    ISSN (online) 1460-9592
    ISSN 1155-5645
    DOI 10.1111/pan.14804
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Downscaling Snow Deposition Using Historic Snow Depth Patterns: Diagnosing Limitations From Snowfall Biases, Winter Snow Losses, and Interannual Snow Pattern Repeatability

    Pflug, J. M. / Hughes, M. / Lundquist, J. D.

    Water resources research. 2021 Aug., v. 57, no. 8

    2021  

    Abstract: Repeatable snow depth patterns have been identified in many regions between years with similar meteorological characteristics. This suggests that snow patterns from previous years could adjust snow deposition in space as a substitution for unmodeled snow ...

    Abstract Repeatable snow depth patterns have been identified in many regions between years with similar meteorological characteristics. This suggests that snow patterns from previous years could adjust snow deposition in space as a substitution for unmodeled snow processes. Here, we tested a pattern‐based snow deposition downscaling routine which assumes (a) a spatially consistent relationship between snow deposition and snow depth, (b) interannually repeatable snow patterns, and (c) unbiased mean snowfall. We investigated these assumptions, and future avenues for improvement, in water‐year 2014 over the California Tuolumne River Watershed. 6 km snowfall from an atmospheric model was downscaled to 25 m resolution using snow depth patterns from seven different years, and was compared to a more common terrain‐based downscaling method. Snow depth patterns were influenced not only by snow accumulation, but also snowmelt, snow sublimation, and snow density, resulting in pattern‐based snow deposition downscaling that was too spatially heterogeneous. However, snow depth simulated using terrain‐based downscaling was too spatially homogeneous, and less spatially correlated with observations (r = 0.27), than simulations with pattern‐based downscaling using snow depth patterns from the simulation season (r = 0.76), or from a different year (r = 0.52). Overall, modeled snow depth errors at peak‐snowpack timing were driven more by atmospheric model snowfall biases than different downscaling methods. In order of most‐ to least‐importance, future research should focus on bias‐correcting coarse‐scale snowfall estimates, correcting snow deposition patterns for winter snow losses and snow density spatial variability, and identifying the historic periods of most‐similar snow accumulation.
    Keywords models ; research ; rivers ; snow ; snowmelt ; sublimation ; water ; watersheds ; California
    Language English
    Dates of publication 2021-08
    Publishing place John Wiley & Sons, Ltd
    Document type Article
    Note JOURNAL ARTICLE
    ZDB-ID 5564-5
    ISSN 1944-7973 ; 0043-1397
    ISSN (online) 1944-7973
    ISSN 0043-1397
    DOI 10.1029/2021WR029999
    Database NAL-Catalogue (AGRICOLA)

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  8. Conference proceedings ; Online: Improving canopy-snow unloading parameterizations by including observed interactions between meteorological variables

    Lumbrazo, C. / Bennett, A. / Webster, C. / Mazzotti, G. / Malle, J. / Haagmans, V. / Jonas, T. / Lundquist, J.

    XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)

    2023  

    Abstract: Interception of snow by trees is the dominant control on snow accumulation patterns in forest environments but is notoriously difficult to observe and model. In this work, we use time-lapse photography to create a timeseries of snow unloading to link ... ...

    Abstract Interception of snow by trees is the dominant control on snow accumulation patterns in forest environments but is notoriously difficult to observe and model. In this work, we use time-lapse photography to create a timeseries of snow unloading to link with local meteorological measurements to better understand how snow unloads from the canopy. Our results support previous studies that air temperature drives unloading when temperatures are above 0 ºC. However, we found that below 0°C multiple variables interact when unloading occurs. For example, unloading occurs when shortwave radiation exceeds 400 Wm -2 for at least one hour, even while air temperatures remain negative. While it is well known that shortwave radiation heats canopy elements, it is rarely included in unloading parameterizations. Additionally, when air temperatures were below -3ºC, wind speeds as low as 2 to 4 ms -1 could unload snow, but wind speeds greater than 5 ms -1 were needed when temperatures were warmer than -3ºC. This can be explained by the greater cohesivity of snow at temperatures above -3ºC. The concept of snow cohesion changing with temperature is often included in the loading aspect of models, but not considered in the unloading counterpart. As a result of these observations, we adapted existing unloading parameterizations to account for the relationships between air temperature, wind speed, and incoming solar radiation statistically. We present model results demonstrating the impact of incorporating variable interactions in the Structure for Unifying Multiple Modelling Alternatives (SUMMA) modular hydrologic modelling framework.
    Subject code 333 ; 551
    Language English
    Publishing date 2023-07-11
    Publishing country de
    Document type Conference proceedings ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: Inferring Distributed Snow Depth by Leveraging Snow Pattern Repeatability: Investigation Using 47 Lidar Observations in the Tuolumne Watershed, Sierra Nevada, California

    Pflug, J. M. / Lundquist, J. D.

    Water resources research. 2020 Sept., v. 56, no. 9

    2020  

    Abstract: Snow distribution is controlled by the interaction between local meteorology and static features like topography and vegetation. The resulting spatial pattern of snow in mountainous terrain is often repeatable and can be used to infer snowpack ... ...

    Abstract Snow distribution is controlled by the interaction between local meteorology and static features like topography and vegetation. The resulting spatial pattern of snow in mountainous terrain is often repeatable and can be used to infer snowpack distribution at periods when observations are limited. This study uses a library of airborne lidar surveys (ALS) in California's Tuolumne watershed to analyze snow patterns at extents (1,650 km²), resolutions (25 m), and temporal scales (47 ALS observations over 7 years) unmatched by previous research. Distributed snow depth was inferred from snow depth observations covering a portion of the domain (< 4%) at a period near peak‐snowpack timing and snow distribution patterns from different years. Snow patterns from different years differed as a function of snow extents, variability, and interannual noise (r = 0.30 to 0.90). However, matching criteria like seasonal timing and snow extents were able to identify pairs of snow patterns with increased spatial agreement (median r > 0.84). Distributed snow depth inferred using a strip of observations (<4% coverage), and a well‐correlated snow pattern (r≥ 0.90) had a mean absolute error (MAE) of 0.22 m and snow volume error of −6%. Distributed snow depth inferred using patterns of reduced accuracy (r < 0.80) were often too homogeneous, thereby increasing MAE and decreasing the duration of the simulated snowmelt season. This work has applications in water management, where distributed snow depth observations in watersheds with interannual snow pattern repeatability could decrease the extent of observations necessary in future years.
    Keywords landscapes ; lidar ; meteorology ; mountains ; research ; snow ; snowmelt ; snowpack ; topography ; vegetation ; water ; water management ; watersheds ; California
    Language English
    Dates of publication 2020-09
    Publishing place John Wiley & Sons, Ltd
    Document type Article
    Note JOURNAL ARTICLE
    ZDB-ID 5564-5
    ISSN 1944-7973 ; 0043-1397
    ISSN (online) 1944-7973
    ISSN 0043-1397
    DOI 10.1029/2020WR027243
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: Energy-Efficient, On-Demand Activation of Biosensor Arrays for Long-Term Continuous Health Monitoring.

    Lundquist, Jonathan / Horstmann, Benjamin / Pestov, Dmitry / Ozgur, Umit / Avrutin, Vitaliy / Topsakal, Erdem

    Biosensors

    2022  Volume 12, Issue 5

    Abstract: Wearable biosensors for continuous health monitoring, particularly those used for glucose detection, have a limited operational lifetime due to biodegradation and fouling. As a result, patients must change sensors frequently, increasing cost and patient ... ...

    Abstract Wearable biosensors for continuous health monitoring, particularly those used for glucose detection, have a limited operational lifetime due to biodegradation and fouling. As a result, patients must change sensors frequently, increasing cost and patient discomfort. Arrays of multiple sensors, where the individual devices can be activated on demand, increase overall operational longevity, thereby reducing cost and improving patient outcomes. This work demonstrates the feasibility of this approach via decomposition of combustible nitrocellulose membranes that protect the individual sensors from exposure to bioanalytes using a current pulse. Metal contacts, connected by graphene-loaded PEDOT:PSS polymer on the surface of the membrane, deliver the required energy to decompose the membrane. Nitrocellulose membranes with a thickness of less than 1 µm consistently transfer on to polydimethylsiloxane (PDMS) wells. An electrical energy as low as 68 mJ has been shown to suffice for membrane decomposition.
    MeSH term(s) Biosensing Techniques ; Collodion ; Graphite ; Humans ; Polymers
    Chemical Substances Polymers ; Graphite (7782-42-5) ; Collodion (9004-70-0)
    Language English
    Publishing date 2022-05-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662125-3
    ISSN 2079-6374 ; 2079-6374
    ISSN (online) 2079-6374
    ISSN 2079-6374
    DOI 10.3390/bios12050358
    Database MEDical Literature Analysis and Retrieval System OnLINE

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