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  1. Article ; Online: Comparison of Doxycycline or Minocycline to Sulfamethoxazole-Trimethoprim for Treatment of

    Alhayani, Taha / Philpott, Carolyn D / Liao, Siyun / Gentene, Anthony J / Mueller, Eric W

    The Annals of pharmacotherapy

    2023  Volume 58, Issue 1, Page(s) 21–27

    Abstract: Background: Stenotrophomonas maltophilia: Objective: To compare tetracyclines (minocycline and doxycycline [TCN]) with standard of care, sulfamethoxazole-trimethoprim (TMP-SMZ), in : Methods: This retrospective, 2-center study evaluated patients ... ...

    Abstract Background: Stenotrophomonas maltophilia
    Objective: To compare tetracyclines (minocycline and doxycycline [TCN]) with standard of care, sulfamethoxazole-trimethoprim (TMP-SMZ), in
    Methods: This retrospective, 2-center study evaluated patients treated for
    Results: A total of 80 patients were included (21 TCN [15 minocycline, 6 doxycycline], 59 TMP-SMZ). There was no difference in clinical success (28.6% vs 25.4%;
    Conclusion and relevance: Clinical and microbiologic success rates were similar in patients treated with TCN compared with TMP-SMZ for
    MeSH term(s) Humans ; Adolescent ; Minocycline/therapeutic use ; Doxycycline/therapeutic use ; Stenotrophomonas maltophilia ; Retrospective Studies ; Reinfection/drug therapy ; Trimethoprim, Sulfamethoxazole Drug Combination/therapeutic use ; Anti-Bacterial Agents/therapeutic use ; Pneumonia/drug therapy ; Gram-Negative Bacterial Infections/drug therapy ; Gram-Negative Bacterial Infections/microbiology ; Microbial Sensitivity Tests
    Chemical Substances Minocycline (FYY3R43WGO) ; Doxycycline (N12000U13O) ; Trimethoprim, Sulfamethoxazole Drug Combination (8064-90-2) ; Anti-Bacterial Agents
    Language English
    Publishing date 2023-04-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1101370-9
    ISSN 1542-6270 ; 1060-0280
    ISSN (online) 1542-6270
    ISSN 1060-0280
    DOI 10.1177/10600280231166413
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: jaxsnn

    Müller, Eric / Althaus, Moritz / Arnold, Elias / Spilger, Philipp / Pehle, Christian / Schemmel, Johannes

    Event-driven Gradient Estimation for Analog Neuromorphic Hardware

    2024  

    Abstract: Traditional neuromorphic hardware architectures rely on event-driven computation, where the asynchronous transmission of events, such as spikes, triggers local computations within synapses and neurons. While machine learning frameworks are commonly used ... ...

    Abstract Traditional neuromorphic hardware architectures rely on event-driven computation, where the asynchronous transmission of events, such as spikes, triggers local computations within synapses and neurons. While machine learning frameworks are commonly used for gradient-based training, their emphasis on dense data structures poses challenges for processing asynchronous data such as spike trains. This problem is particularly pronounced for typical tensor data structures. In this context, we present a novel library (jaxsnn) built on top of JAX, that departs from conventional machine learning frameworks by providing flexibility in the data structures used and the handling of time, while maintaining Autograd functionality and composability. Our library facilitates the simulation of spiking neural networks and gradient estimation, with a focus on compatibility with time-continuous neuromorphic backends, such as the BrainScaleS-2 system, during the forward pass. This approach opens avenues for more efficient and flexible training of spiking neural networks, bridging the gap between traditional neuromorphic architectures and contemporary machine learning frameworks.
    Keywords Computer Science - Neural and Evolutionary Computing
    Subject code 006
    Publishing date 2024-01-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Balancing business innovation and security.

    Mueller, Eric

    Healthcare informatics : the business magazine for information and communication systems

    2012  Volume 29, Issue 8, Page(s) 37–38

    MeSH term(s) Computer Security ; Confidentiality ; Diffusion of Innovation ; Electronic Health Records ; Health Facilities ; United States
    Language English
    Publishing date 2012-09
    Publishing country United States
    Document type Journal Article
    ISSN 1050-9135
    ISSN 1050-9135
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book ; Online: Event-based Backpropagation for Analog Neuromorphic Hardware

    Pehle, Christian / Blessing, Luca / Arnold, Elias / Müller, Eric / Schemmel, Johannes

    2023  

    Abstract: Neuromorphic computing aims to incorporate lessons from studying biological nervous systems in the design of computer architectures. While existing approaches have successfully implemented aspects of those computational principles, such as sparse spike- ... ...

    Abstract Neuromorphic computing aims to incorporate lessons from studying biological nervous systems in the design of computer architectures. While existing approaches have successfully implemented aspects of those computational principles, such as sparse spike-based computation, event-based scalable learning has remained an elusive goal in large-scale systems. However, only then the potential energy-efficiency advantages of neuromorphic systems relative to other hardware architectures can be realized during learning. We present our progress implementing the EventProp algorithm using the example of the BrainScaleS-2 analog neuromorphic hardware. Previous gradient-based approaches to learning used "surrogate gradients" and dense sampling of observables or were limited by assumptions on the underlying dynamics and loss functions. In contrast, our approach only needs spike time observations from the system while being able to incorporate other system observables, such as membrane voltage measurements, in a principled way. This leads to a one-order-of-magnitude improvement in the information efficiency of the gradient estimate, which would directly translate to corresponding energy efficiency improvements in an optimized hardware implementation. We present the theoretical framework for estimating gradients and results verifying the correctness of the estimation, as well as results on a low-dimensional classification task using the BrainScaleS-2 system. Building on this work has the potential to enable scalable gradient estimation in large-scale neuromorphic hardware as a continuous measurement of the system state would be prohibitive and energy-inefficient in such instances. It also suggests the feasibility of a full on-device implementation of the algorithm that would enable scalable, energy-efficient, event-based learning in large-scale analog neuromorphic hardware.
    Keywords Quantitative Biology - Neurons and Cognition ; Computer Science - Neural and Evolutionary Computing
    Subject code 006
    Publishing date 2023-02-13
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Book ; Online: Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware

    Kaiser, Jakob / Stock, Raphael / Müller, Eric / Schemmel, Johannes / Schmitt, Sebastian

    2023  

    Abstract: The BrainScaleS-2 (BSS-2) system implements physical models of neurons as well as synapses and aims for an energy-efficient and fast emulation of biological neurons. When replicating neuroscientific experiment results, a major challenge is finding ... ...

    Abstract The BrainScaleS-2 (BSS-2) system implements physical models of neurons as well as synapses and aims for an energy-efficient and fast emulation of biological neurons. When replicating neuroscientific experiment results, a major challenge is finding suitable model parameters. This study investigates the suitability of the sequential neural posterior estimation (SNPE) algorithm for parameterizing a multi-compartmental neuron model emulated on the BSS-2 analog neuromorphic hardware system. In contrast to other optimization methods such as genetic algorithms or stochastic searches, the SNPE algorithms belongs to the class of approximate Bayesian computing (ABC) methods and estimates the posterior distribution of the model parameters; access to the posterior allows classifying the confidence in parameter estimations and unveiling correlation between model parameters. In previous applications, the SNPE algorithm showed a higher computational efficiency than traditional ABC methods. For our multi-compartmental model, we show that the approximated posterior is in agreement with experimental observations and that the identified correlation between parameters is in agreement with theoretical expectations. Furthermore, we show that the algorithm can deal with high-dimensional observations and parameter spaces. These results suggest that the SNPE algorithm is a promising approach for automating the parameterization of complex models, especially when dealing with characteristic properties of analog neuromorphic substrates, such as trial-to-trial variations or limited parameter ranges.
    Keywords Computer Science - Neural and Evolutionary Computing
    Subject code 006
    Publishing date 2023-03-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Effects of fuel bed structure on heat transfer mechanisms within and above porous fuel beds in quiescent flame spread scenarios

    Campbell-Lochrie, Zakary / Walker-Ravena, Carlos / Gallagher, Michael / Skowronski, Nicholas / Mueller, Eric V. / Hadden, Rory M.

    International Journal of Wildland Fire. 2023, v. 32, no. 6 p.913-926

    2023  

    Abstract: Background Further understanding of the effect of fuel structure on underlying physical phenomena controlling flame spread is required given the lack of a coherent porous flame spread theory. Aims To systematically investigate the effect of fuel ... ...

    Abstract Background Further understanding of the effect of fuel structure on underlying physical phenomena controlling flame spread is required given the lack of a coherent porous flame spread theory. Aims To systematically investigate the effect of fuel structure on the heat transfer mechanisms within and above porous fuel beds. Methods Radiant and total heat fluxes were measured in two extended series of laboratory-based quiescent flame spread experiments in pine needle beds across a range of structural conditions (various fuel loadings, bulk densities, and fuel depths). Key results Peak radiant heat fluxes from the in-bed combustion region were greater than peak radiant heat fluxes from the above-bed flame front for all of the studied fuel conditions. However, the magnitude and duration of radiant heating from the above-bed flame increased with fuel loading (where bulk density was held constant and fuel depth allowed to vary). Conclusions Our study highlighted the important role of fuel structure on heat transfer mechanisms, and the relevance of development of semi-empirical and simplified physics-based models. Implications The interdependent effects of fuel bed properties on the underlying heat transfer mechanisms must be considered in the further development of coherent, flame spread theories.
    Keywords bulk density ; combustion ; conifer needles ; fuel bed ; fuels ; heat transfer ; wildfires ; fire modelling ; flame spread ; fuel structure ; heat flux ; pitch pine ; prescribed fire ; thermal model
    Language English
    Size p. 913-926.
    Publishing place CSIRO Publishing
    Document type Article ; Online
    ZDB-ID 1331562-6
    ISSN 1448-5516 ; 1049-8001
    ISSN (online) 1448-5516
    ISSN 1049-8001
    DOI 10.1071/WF22129
    Database NAL-Catalogue (AGRICOLA)

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  7. Article ; Online: Case Report: Extended Duration Andexanet Alfa Infusion in a Surgical Trauma Patient.

    Philpott, Carolyn D / Ernst, Neil E / Makley, Amy T / Wasky, Peter R / Mueller, Eric W

    Journal of pharmacy practice

    2022  Volume 36, Issue 4, Page(s) 1002–1007

    Abstract: Background: ...

    Abstract Background:
    MeSH term(s) Humans ; Female ; Aged ; Rivaroxaban ; Factor Xa Inhibitors ; Hemorrhage/drug therapy ; Factor Xa/therapeutic use ; Recombinant Proteins/therapeutic use ; Anticoagulants/therapeutic use
    Chemical Substances Rivaroxaban (9NDF7JZ4M3) ; PRT064445 ; Factor Xa Inhibitors ; Factor Xa (EC 3.4.21.6) ; Recombinant Proteins ; Anticoagulants
    Language English
    Publishing date 2022-02-28
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 1027474-1
    ISSN 1531-1937 ; 0897-1900
    ISSN (online) 1531-1937
    ISSN 0897-1900
    DOI 10.1177/08971900221078779
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Online: Towards Large-scale Network Emulation on Analog Neuromorphic Hardware

    Arnold, Elias / Spilger, Philipp / Straub, Jan V. / Müller, Eric / Dold, Dominik / Meoni, Gabriele / Schemmel, Johannes

    2024  

    Abstract: We present a novel software feature for the BrainScaleS-2 accelerated neuromorphic platform that facilitates the emulation of partitioned large-scale spiking neural networks. This approach is well suited for many deep spiking neural networks, where the ... ...

    Abstract We present a novel software feature for the BrainScaleS-2 accelerated neuromorphic platform that facilitates the emulation of partitioned large-scale spiking neural networks. This approach is well suited for many deep spiking neural networks, where the constraint of the largest recurrent subnetwork fitting on the substrate or the limited fan-in of neurons is often not a limitation in practice. We demonstrate the training of two deep spiking neural network models, using the MNIST and EuroSAT datasets, that exceed the physical size constraints of a single-chip BrainScaleS-2 system. The ability to emulate and train networks larger than the substrate provides a pathway for accurate performance evaluation in planned or scaled systems, ultimately advancing the development and understanding of large-scale models and neuromorphic computing architectures.
    Keywords Computer Science - Neural and Evolutionary Computing
    Publishing date 2024-01-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Fentanyl Pharmacokinetics in Critically Ill Patients: A Demonstration of Mixed Effects.

    Droege, Chris A / Mueller, Eric W

    Critical care medicine

    2016  Volume 44, Issue 1, Page(s) 240–242

    MeSH term(s) Analgesics, Opioid/blood ; Analgesics, Opioid/pharmacokinetics ; Critical Illness ; Female ; Fentanyl/blood ; Fentanyl/pharmacokinetics ; Humans ; Male
    Chemical Substances Analgesics, Opioid ; Fentanyl (UF599785JZ)
    Language English
    Publishing date 2016-01
    Publishing country United States
    Document type Comment ; Editorial
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000001444
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Microtubule-associated proteins and motors required for ectopic microtubule array formation in Saccharomyces cerevisiae.

    King, Brianna R / Meehl, Janet B / Vojnar, Tamira / Winey, Mark / Muller, Eric G / Davis, Trisha N

    Genetics

    2021  Volume 218, Issue 2

    Abstract: The mitotic spindle is resilient to perturbation due to the concerted, and sometimes redundant, action of motors and microtubule-associated proteins. Here, we utilize an inducible ectopic microtubule nucleation site in the nucleus of Saccharomyces ... ...

    Abstract The mitotic spindle is resilient to perturbation due to the concerted, and sometimes redundant, action of motors and microtubule-associated proteins. Here, we utilize an inducible ectopic microtubule nucleation site in the nucleus of Saccharomyces cerevisiae to study three necessary steps in the formation of a bipolar array: the recruitment of the γ-tubulin complex, nucleation and elongation of microtubules (MTs), and the organization of MTs relative to each other. This novel tool, an Spc110 chimera, reveals previously unreported roles of the microtubule-associated proteins Stu2, Bim1, and Bik1, and the motors Vik1 and Kip3. We report that Stu2 and Bim1 are required for nucleation and that Bik1 and Kip3 promote nucleation at the ectopic site. Stu2, Bim1, and Kip3 join their homologs XMAP215, EB1 and kinesin-8 as promoters of microtubule nucleation, while Bik1 promotes MT nucleation indirectly via its role in SPB positioning. Furthermore, we find that the nucleation activity of Stu2 in vivo correlates with its polymerase activity in vitro. Finally, we provide the first evidence that Vik1, a subunit of Kar3/Vik1 kinesin-14, promotes microtubule minus end focusing at the ectopic site.
    MeSH term(s) Cell Nucleus/metabolism ; Microtubule-Associated Proteins/genetics ; Microtubule-Associated Proteins/metabolism ; Microtubules/metabolism ; Mitosis ; Molecular Motor Proteins/genetics ; Molecular Motor Proteins/metabolism ; Mutation ; Saccharomyces cerevisiae/cytology ; Saccharomyces cerevisiae/physiology ; Saccharomyces cerevisiae Proteins/genetics ; Saccharomyces cerevisiae Proteins/metabolism ; Spindle Apparatus/metabolism
    Chemical Substances Microtubule-Associated Proteins ; Molecular Motor Proteins ; Saccharomyces cerevisiae Proteins
    Language English
    Publishing date 2021-03-22
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2167-2
    ISSN 1943-2631 ; 0016-6731
    ISSN (online) 1943-2631
    ISSN 0016-6731
    DOI 10.1093/genetics/iyab050
    Database MEDical Literature Analysis and Retrieval System OnLINE

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