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1. Evolutionary accumulation modelling in AMR: machine learning to infer and predict evolutionary dynamics of multi-drug resistance

Author

Renz, Jessica, Dauda, Kazeem A., Aga, Olav N. L., Diaz-Uriarte, Ramon, Löhr, Iren H., Blomberg, Bjørn, and Johnston, Iain G.

Subjects
Quantitative Biology - Populations and Evolution, Quantitative Biology - Quantitative Methods
Abstract

Can we understand and predict the evolutionary pathways by which bacteria acquire multi-drug resistance (MDR)? These questions have substantial potential impact in basic biology and in applied approaches to address the global health challenge of antimicrobial resistance (AMR). Here, we review how a class of machine learning approaches called evolutionary accumulation modelling (EvAM) may help reveal these dynamics using genetic and/or phenotypic AMR datasets, without requiring longitudinal sampling. These approaches are well-established in cancer progression and evolutionary biology, but currently less used in AMR research. We discuss how EvAM can learn the evolutionary pathways by which drug resistances and AMR features are acquired as pathogens evolve, predict next evolutionary steps, identify influences between AMR features, and explore differences in MDR evolution between regions, demographics, and more. We demonstrate a case study on MDR evolution in Mycobacterium tuberculosis and discuss the strengths and weaknesses of these approaches, providing links to some approaches for implementation.

Published
2024

2. Transition matrices and Pieri-type rules for polysymmetric functions

Author

Khanna, Aditya and Loehr, Nicholas A.

Subjects
Mathematics - Combinatorics, Mathematics - Algebraic Geometry, 05E05, 05A17
Abstract

Asvin G and Andrew O'Desky recently introduced the graded algebra P$\Lambda$ of polysymmetric functions as a generalization of the algebra $\Lambda$ of symmetric functions. This article develops combinatorial formulas for some multiplication rules and transition matrix entries for P$\Lambda$ that are analogous to well-known classical formulas for $\Lambda$. In more detail, we consider pure tensor bases $\{s^{\otimes}_{\tau}\}$, $\{p^{\otimes}_{\tau}\}$, and $\{m^{\otimes}_{\tau}\}$ for P$\Lambda$ that arise as tensor products of the classical Schur basis, power-sum basis, and monomial basis for $\Lambda$. We find expansions in these bases of the non-pure bases $\{P_{\delta}\}$, $\{H_{\delta}\}$, $\{E^+_{\delta}\}$, and $\{E_{\delta}\}$ studied by Asvin G and O'Desky. The answers involve tableau-like structures generalizing semistandard tableaux, rim-hook tableaux, and the brick tabloids of E\u{g}ecio\u{g}lu and Remmel. These objects arise by iteration of new Pieri-type rules that give expansions of products such as $s^{\otimes}_{\sigma}H_{\delta}$, $p^{\otimes}_{\sigma}E_{\delta}$, etc., Comment: 30 pages, multiple in-line figures

Published
2024

3. Skeletal generalizations of Dyck paths, parking functions, and chip-firing games

Author

Backman, Spencer, Charbonneau, Cole, Loehr, Nicholas A., Mullins, Patrick, O'Connor, Mazie, and Warrington, Gregory S.

Subjects
Mathematics - Combinatorics, 05A15, 05A19, 05C57
Abstract

For $0\leq k\leq n-1$, we introduce a family of $k$-skeletal paths which are counted by the $n$-th Catalan number for each $k$, and specialize to Dyck paths when $k=n-1$. We similarly introduce $k$-skeletal parking functions which are equinumerous with the spanning trees on $n+1$ vertices for each $k$, and specialize to classical parking functions for $k=n-1$. The preceding constructions are generalized to paths lying in a trapezoid with base $c > 0$ and southeastern diagonal of slope $1/m$; $c$ and $m$ need not be integers. We give bijections among these families when $k$ varies with $m$ and $c$ fixed. Our constructions are motivated by chip firing and have connections to combinatorial representation theory and tropical geometry., Comment: 29 pages, 9 figures

Published
2024

4. Measurements of Gravitational Attractions at small Accelerations

Author

Bartel, W., Elvers, C. W., Jönsson, L., Kempf, G., Krause, H., Loehr, B., Lohrmann, E., Meyer, H., Steffen, P., and Wuensch, E.

Subjects
General Relativity and Quantum Cosmology, Physics - Classical Physics
Abstract

Gravitational interactions were studied by measuring the influence of small external field masses on a microwave resonator. It consisted of two spherical mirrors, which acted as independent pendulumsindividually suspended by strings. Two identical field masses weremoved along the axis of the resonator symmetrically and periodically betweena near and a far position. Their gravitational interaction altered the distance between the mirrors, changing the resonance frequency, which was measured and found consistent with Newton's law of gravity. The acceleration of a single mirror caused by the two field masses at the closest position varied from $5.4 \cdot 10^{-12} m/s^2$ to $259 \cdot 10^{-12}\ m/s^2$., Comment: 19 pages, 8 figures, accepted for publication in the journal of Classical and Quantum Gravity (CQG)

Published
2024

5. Label-wise Aleatoric and Epistemic Uncertainty Quantification

Author

Sale, Yusuf, Hofman, Paul, Löhr, Timo, Wimmer, Lisa, Nagler, Thomas, and Hüllermeier, Eyke

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

We present a novel approach to uncertainty quantification in classification tasks based on label-wise decomposition of uncertainty measures. This label-wise perspective allows uncertainty to be quantified at the individual class level, thereby improving cost-sensitive decision-making and helping understand the sources of uncertainty. Furthermore, it allows to define total, aleatoric, and epistemic uncertainty on the basis of non-categorical measures such as variance, going beyond common entropy-based measures. In particular, variance-based measures address some of the limitations associated with established methods that have recently been discussed in the literature. We show that our proposed measures adhere to a number of desirable properties. Through empirical evaluation on a variety of benchmark data sets -- including applications in the medical domain where accurate uncertainty quantification is crucial -- we establish the effectiveness of label-wise uncertainty quantification., Comment: Uncertainty in Artificial Intelligence. arXiv admin note: substantial text overlap with arXiv:2401.00276

Published
2024

6. The azimuthal correlation between the leading jet and the scattered lepton in deep inelastic scattering at HERA

Author

ZEUS Collaboration, Abt, I., Aggarwal, R., Aushev, V., Behnke, O., Bertolin, A., Bloch, I., Brock, I., Brook, N. H., Brugnera, R., Bruni, A., Bussey, P. J., Caldwell, A., Catterall, C. D., Chwastowski, J., Ciborowski, J., Ciesielski, R., Cooper-Sarkar, A. M., Corradi, M., Dementiev, R. K., Dusini, S., Ferrando, J., Foster, B., Gallo, E., Gangadharan, D., Garfagnini, A., Geiser, A., Grzelak, G., Gwenlan, C., Hochman, D., Jomhari, N. Z., Kadenko, I., Karshon, U., Kaur, P., Klanner, R., Klein, U., Korzhavina, I. A., Kovalchuk, N., Kuze, M., Levchenko, B. B., Levy, A., Löhr, B., Lohrmann, E., Longhin, A., Lorkowski, F., Lunghi, E., Makarenko, I., Malka, J., Masciocchi, S., Nagano, ^ K., Nam, J. D., Onishchuk, Yu., Paul, E., Pidhurskyi, I., Polini, A., Przybycień, M., Quintero, A., Ruspa, M., Schneekloth, U., Schörner-Sadenius, T., Selyuzhenkov, I., Shchedrolosiev, M., Shcheglova, L. M., Sherrill, N., Skillicorn, I. O., Słomiński, W., Solano, A., Stanco, L., Stefaniuk, N., Surrow, B., Tokushuku, K., Turkot, O., Tymieniecka, T., Verbytskyi, A., Abdullah, W. A. T. Wan, Wichmann, K., Wing, M., Yamada, S., Yamazaki, Y., Żarnecki, A. F., and Zenaiev, O.

Subjects
High Energy Physics - Experiment
Abstract

The azimuthal correlation angle, $\Delta\phi$, between the scattered lepton and the leading jet in deep inelastic $e^{\pm}p$ scattering at HERA has been studied using data collected with the ZEUS detector at a centre-of-mass energy of $\sqrt{s} = 318 \;\mathrm{GeV}$, corresponding to an integrated luminosity of $326 \;\mathrm{pb}^{-1}$. A measurement of jet cross sections in the laboratory frame was made in a fiducial region corresponding to photon virtuality $10 \;\mathrm{GeV}^2 < Q^2 < 350 \;\mathrm{GeV}^2$, inelasticity $0.04 < y < 0.7$, outgoing lepton energy $E_e > 10 \;\mathrm{GeV}$, lepton polar angle $140^\circ < \theta_e < 180^\circ$, jet transverse momentum $2.5 \;\mathrm{GeV} < p_\mathrm{T,jet} < 30 \;\mathrm{GeV}$, and jet pseudorapidity $-1.5 < \eta_\mathrm{jet} < 1.8$. Jets were reconstructed using the $k_\mathrm{T}$ algorithm with the radius parameter $R = 1$. The leading jet in an event is defined as the jet that carries the highest $p_\mathrm{T,jet}$. Differential cross sections, $d\sigma/d\Delta\phi$, were measured as a function of the azimuthal correlation angle in various ranges of leading-jet transverse momentum, photon virtuality and jet multiplicity. Perturbative calculations at $\mathcal{O}(\alpha_{s}^2)$ accuracy successfully describe the data within the fiducial region, although a lower level of agreement is observed near $\Delta\phi \rightarrow \pi$ for events with high jet multiplicity, due to limitations of the perturbative approach in describing soft phenomena in QCD. The data are equally well described by Monte Carlo predictions that supplement leading-order matrix elements with parton showering.

Published
2024

7. Monitoring Unmanned Aircraft: Specification, Integration, and Lessons-learned

Author

Baumeister, Jan, Finkbeiner, Bernd, Kohn, Florian, Löhr, Florian, Manfredi, Guido, Schirmer, Sebastian, and Torens, Christoph

Subjects
Computer Science - Software Engineering, Computer Science - Logic in Computer Science, F.3.1, J.2
Abstract

This paper reports on the integration of runtime monitoring into fully-electric aircraft designed by Volocopter, a German aircraft manufacturer of electric multi-rotor helicopters. The runtime monitor recognizes hazardous situations and system faults. Since the correct operation of the monitor is critical for the safety of the aircraft, the development of the monitor must follow strict aeronautical standards. This includes the integration of the monitor into different development environments, such as log-file analysis, hardware/software-in-the-loop testing, and test flights. We have used the stream-based monitoring framework RTLola to generate monitors for a range of requirements. In this paper, we present representative monitoring specifications and our lessons learned from integrating the generated monitors. Our main finding is that the specification and the integration need to be decoupled, because the specification remains stable throughout the development process, whereas the different development stages require a separate integration of the monitor into each environment. We achieve this decoupling with a novel abstraction layer in the monitoring framework that adapts the monitor to each environment without affecting the core component generated from the specification. The decoupling of the integration has also allowed us to react quickly to the frequent changes in the hardware and software environment of the monitor due to the fast-paced development of the aircraft in a startup company.

Published
2024

8. Automated Optimization of Parameterized Data-Plane Programs with Parasol

Author

Hogan, Mary, Loehr, Devon, Sonchack, John, Feibish, Shir Landau, Rexford, Jennifer, and Walker, David

Subjects
Computer Science - Networking and Internet Architecture
Abstract

Programmable data planes allow for sophisticated applications that give operators the power to customize the functionality of their networks. Deploying these applications, however, often requires tedious and burdensome optimization of their layout and design, in which programmers must manually write, compile, and test an implementation, adjust the design, and repeat. In this paper we present Parasol, a framework that allows programmers to define general, parameterized network algorithms and automatically optimize their various parameters. The parameters of a Parasol program can represent a wide variety of implementation decisions, and may be optimized for arbitrary, high-level objectives defined by the programmer. Furthermore, optimization may be tailored to particular environments by providing a representative sample of traffic. We show how we implement the Parasol framework, which consists of a sketching language for writing parameterized programs, and a simulation-based optimizer for testing different parameter settings. We evaluate Parasol by implementing a suite of ten data-plane applications, and find that Parasol produces a solution with comparable performance to hand-optimized P4 code within a two-hour time budget.

Published
2024

11. A New Fibrin-Heparine Coated Self-Expanding Stent for the Rescue Treatment of Intracranial Stenosis—a Multicentric Study

Author

Dorn, Franziska, Voss, Yves Leonard, Zidan, Mousa, Neuhaus, Stephanie, Lehnen, Nils, Stracke, Paul, Schwindt, Wolfram, Ergawy, Mostafa, Dyzmann, Christian, Moehlenbruch, Markus, Jesser, Jessica, Vollherbst, Dominik, Moreu, Manuel, Pérez-García, Carlos, Bester, Maxim, Flottmann, Fabian, Simgen, Andreas, Schob, Stefan, Berlis, Ansgar, Maurer, Christoph, Buhk, Jan Hendrik, Hentschel, Hannah, Loehr, Christian, Eckert, Bernd, Saura, Javier, Delgado, Fernando, Paech, Daniel, and Nordmeyer, Hannes

Published
2024
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13. Navigating the Maize: Cyclic and conditional computational graphs for molecular simulation

Author

Löhr, Thomas, Assante, Michele, Dodds, Michael, Cao, Lili, Kabeshov, Mikhail, Janet, Jon-Paul, Klähn, Marco, and Engkvist, Ola

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Machine Learning
Abstract

Many computational chemistry and molecular simulation workflows can be expressed as graphs. This abstraction is useful to modularize and potentially reuse existing components, as well as provide parallelization and ease reproducibility. Existing tools represent the computation as a directed acyclic graph (DAG), thus allowing efficient execution by parallelization of concurrent branches. These systems can, however, generally not express cyclic and conditional workflows. We therefore developed Maize, a workflow manager for cyclic and conditional graphs based on the principles of flow-based programming. By running each node of the graph concurrently in separate processes and allowing communication at any time through dedicated inter-node channels, arbitrary graph structures can be executed. We demonstrate the effectiveness of the tool on a dynamic active learning task in computational drug design, involving the use of a small molecule generative model and an associated scoring system, and on a reactivity prediction pipeline using quantum-chemistry and semiempirical approaches.

Published
2024

15. Actors in Multi-Sector Transitions -- Discourse Analysis on Hydrogen in Germany

Author

Ohlendorf, Nils, Löhr, Meike, and Markard, Jochen

Subjects
Electrical Engineering and Systems Science - Systems and Control, Physics - Physics and Society
Abstract

With net-zero emission goals, low-carbon transitions enter a new phase of development, leading to new challenges for policymaking and research. Multiple transitions unfold in parallel across different sectors. This involves a broad range of technologies, while actors engage in increasingly complex discourses. Here, we study the discourses on hydrogen in Germany. Based on the analysis of 179 newspaper articles from 2016 to 2020, we find that a diverse set of actors, including many industry incumbents, speak favorably about hydrogen, emphasizing economic opportunities and its relevance for the energy transition, whereas skeptics highlight its low energy efficiency and expected scarcity. With the help of discourse network analysis, we identify three emerging conflicts around the use, production, and import of hydrogen. We explain these conflicts and the widespread support of incumbents with a conceptual framework that captures the complex interplay of sectoral contexts, specific technologies and actor interests.

Published
2023
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16. FiND: Few-shot three-dimensional image-free confocal focusing on point-like emitters

Author

Sahoo, Swetapadma, Jiang, Junyue, Li, Jaden, Loehr, Kieran, Germany, Chad E., Zhou, Jincheng, Clark, Bryan K., and Bogdanov, Simeon I.

Subjects
Physics - Optics, Physics - Biological Physics, Quantum Physics
Abstract

Confocal fluorescence microscopy is widely applied for the study of point-like emitters such as biomolecules, material defects, and quantum light sources. Confocal techniques offer increased optical resolution, dramatic fluorescence background rejection and sub-nanometer localization, useful in super-resolution imaging of fluorescent biomarkers, single-molecule tracking, or the characterization of quantum emitters. However, rapid, noise-robust automated 3D focusing on point-like emitters has been missing for confocal microscopes. Here, we introduce FiND (Focusing in Noisy Domain), an imaging-free, non-trained 3D focusing framework that requires no hardware add-ons or modifications. FiND achieves focusing for signal-to-noise ratios down to 1, with a few-shot operation for signal-to-noise ratios above 5. FiND enables unsupervised, large-scale focusing on a heterogeneous set of quantum emitters. Additionally, we demonstrate the potential of FiND for real-time 3D tracking by following the drift trajectory of a single NV center indefinitely with a positional precision of < 10 nm. Our results show that FiND is a useful focusing framework for the scalable analysis of point-like emitters in biology, material science, and quantum optics., Comment: 17 pages, 7 figures

Published
2023

17. First-Line Aspiration Thrombectomy of M2 Occlusions with a Novel Reperfusion Catheter (RED 62): Real-World Experience from Two Tertiary Comprehensive Stroke Centers

Author

Dominik Grieb, Hauke Wensing, Katharina Schulz, Christian Loehr, Heinrich Lanfermann, Martin Schlunz-Hendann, and Frederik Boxberg

Subjects
stroke, thrombectomy, reperfusion, catheter, Medicine (General), R5-920, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Purpose The direct aspiration first pass technique (ADAPT) is an effective and safe endovascular treatment for distal medium vessel occlusions (DMVOs). We evaluated technical features and initial results of a novel reperfusion catheter (REDTM 62) used for frontline aspiration thrombectomy of M2 occlusions in acute ischemic stroke patients. Appropriate aspiration catheters are crucial for a successful ADAPT maneuver; however, the selection of catheters suitable for smaller-sized vessels is scarce compared to the ones for large vessel occlusions. Materials and Methods All patients treated with ADAPT using REDTM 62 as the frontline treatment approach for acute M2 occlusions between December 2022 and February 2024 were retrospectively enrolled. Demographic data, procedural timings and safety, recanalization rates, and outcome data were recorded. Results Twenty patients with a median admission National Institutes of Health Stroke Scale (NIHSS) score of 8 were identified. Successful revascularization (DMVO-thrombolysis in cerebral infarction [TICI]≥2b) with REDTM 62 aspiration thrombectomy was obtained in 65.0% (13/20) of cases. The first pass effect was 45.0% (9/20). In 2 cases, the REDTM 62 did not reach the clot due to marked distal vessel tortuosity. Stent retrievers were additionally used in 9 cases and led to an overall DMVO-TICI 2c/3 of 90.0% (18/20). Mean procedural time was 48 minutes. No complications directly related to ADAPT occurred. In-hospital mortality rate was 20.0% (4/20). The median discharge NIHSS score was 2.5. A good functional outcome at discharge (modified Rankin scale 0-2) was achieved in 55.0% (11/20) of cases. Conclusion Our initial experiences with the novel REDTM 62 reperfusion catheter for treatment of M2 occlusions is in line with published data. ADAPT using this catheter may be considered as a safe and effective first-line treatment option. Further studies are warranted to validate the initial results.

Published
2024
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18. Measurement of jet production in deep inelastic scattering and NNLO determination of the strong coupling at ZEUS

Author

ZEUS Collaboration, Abt, I., Aggarwal, R., Aushev, V., Behnke, O., Bertolin, A., Bloch, I., Brock, I., Brook, N. H., Brugnera, R., Bruni, A., Bussey, P. J., Caldwell, A., Catterall, C. D., Chwastowski, J., Ciborowski, J., Ciesielski, R., Cooper-Sarkar, A. M., Corradi, M., Dementiev, R. K., Dusini, S., Ferrando, J., Foster, B., Gallo, E., Gangadharan, D., Garfagnini, A., Geiser, A., Grzelak, G., Gwenlan, C., Hochman, D., Jomhari, N. Z., Kadenko, I., Karshon, U., Kaur, P., Klanner, R., Klein, U., Korzhavina, I. A., Kovalchuk, N., Kuze, M., Levchenko, B. B., Levy, A., Löhr, B., Lohrmann, E., Longhin, A., Lorkowski, F., Lunghi, E., Makarenko, I., Malka, J., Masciocchi, S., Nagano, K., Nam, J. D., Onishchuk, Yu., Paul, E., Pidhurskyi, I., Polini, A., Przybycień, M., Quintero, A., Ruspa, M., Schneekloth, U., Schörner-Sadenius, T., Selyuzhenkov, I., Shchedrolosiev, M., Shcheglova, L. M., Sherrill, N., Skillicorn, I. O., Słomiński, W., Solano, A., Stanco, L., Stefaniuk, N., Surrow, B., Tokushuku, K., Turkot, O., Tymieniecka, T., Verbytskyi, A., Abdullah, W. A. T. Wan, Wichmann, K., Wing, M., Yamada, S., Yamazaki, Y., Żarnecki, A. F., and Zenaiev, O.

Subjects
High Energy Physics - Experiment
Abstract

A new measurement of inclusive-jet cross sections in the Breit frame in neutral current deep inelastic scattering using the ZEUS detector at the HERA collider is presented. The data were taken in the years 2004 to 2007 at a centre-of-mass energy of $318\,\text{GeV}$ and correspond to an integrated luminosity of $347\,\text{pb}^{-1}$. Massless jets, reconstructed using the $k_t$-algorithm in the Breit reference frame, have been measured as a function of the squared momentum transfer, $Q^2$, and the transverse momentum of the jets in the Breit frame, $p_{\perp,\text{Breit}}$. The measured jet cross sections are compared to previous measurements and to perturbative QCD predictions. The measurement has been used in a next-to-next-to-leading-order QCD analysis to perform a simultaneous determination of parton distribution functions of the proton and the strong coupling, resulting in a value of $\alpha_s(M_Z^2) = 0.1142 \pm 0.0017~\text{(experimental/fit)}$ ${}^{+0.0006}_{-0.0007}~\text{(model/parameterisation)}$ ${}^{+0.0006}_{-0.0004}~\text{(scale)}$, whose accuracy is improved compared to similar measurements. In addition, the running of the strong coupling is demonstrated using data obtained at different scales., Comment: 42 pages, 10 figures

Published
2023
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19. Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images

Author

Prabhakar, Chinmay, Li, Hongwei Bran, Paetzold, Johannes C., Loehr, Timo, Niu, Chen, Mühlau, Mark, Rueckert, Daniel, Wiestler, Benedikt, and Menze, Bjoern

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Multiple Sclerosis (MS) is a severe neurological disease characterized by inflammatory lesions in the central nervous system. Hence, predicting inflammatory disease activity is crucial for disease assessment and treatment. However, MS lesions can occur throughout the brain and vary in shape, size and total count among patients. The high variance in lesion load and locations makes it challenging for machine learning methods to learn a globally effective representation of whole-brain MRI scans to assess and predict disease. Technically it is non-trivial to incorporate essential biomarkers such as lesion load or spatial proximity. Our work represents the first attempt to utilize graph neural networks (GNN) to aggregate these biomarkers for a novel global representation. We propose a two-stage MS inflammatory disease activity prediction approach. First, a 3D segmentation network detects lesions, and a self-supervised algorithm extracts their image features. Second, the detected lesions are used to build a patient graph. The lesions act as nodes in the graph and are initialized with image features extracted in the first stage. Finally, the lesions are connected based on their spatial proximity and the inflammatory disease activity prediction is formulated as a graph classification task. Furthermore, we propose a self-pruning strategy to auto-select the most critical lesions for prediction. Our proposed method outperforms the existing baseline by a large margin (AUCs of 0.67 vs. 0.61 and 0.66 vs. 0.60 for one-year and two-year inflammatory disease activity, respectively). Finally, our proposed method enjoys inherent explainability by assigning an importance score to each lesion for the overall prediction. Code is available at https://github.com/chinmay5/ms_ida.git

Published
2023

20. Saggitarius: A DSL for Specifying Grammatical Domains

Author

Miltner, Anders, Loehr, Devon, Mong, Arnold, Fisher, Kathleen, and Walker, David

Subjects
Computer Science - Programming Languages
Abstract

Common data types like dates, addresses, phone numbers and tables can have multiple textual representations, and many heavily-used languages, such as SQL, come in several dialects. These variations can cause data to be misinterpreted, leading to silent data corruption, failure of data processing systems, or even security vulnerabilities. Saggitarius is a new language and system designed to help programmers reason about the format of data, by describing grammatical domains -- that is, sets of context-free grammars that describe the many possible representations of a datatype. We describe the design of Saggitarius via example and provide a relational semantics. We show how Saggitarius may be used to analyze a data set: given example data, it uses an algorithm based on semi-ring parsing and MaxSAT to infer which grammar in a given domain best matches that data. We evaluate the effectiveness of the algorithm on a benchmark suite of 110 example problems, and we demonstrate that our system typically returns a satisfying grammar within a few seconds with only a small number of examples. We also delve deeper into a more extensive case study on using Saggitarius for CSV dialect detection. Despite being general-purpose, we find that Saggitarius offers comparable results to hand-tuned, specialized tools; in the case of CSV, it infers grammars for 84% of benchmarks within 60 seconds, and has comparable accuracy to custom-built dialect detection tools., Comment: OOPSLA 2023

Published
2023

22. A simple analytical alignment model for laser-kicked molecular rotors

Author

Löhr, A., Ivanov, M., and Khokhlova, M.

Subjects
Physics - Optics, Quantum Physics
Abstract

We develop a mathematically simple yet accurate model for the single-pulse non-resonant impulsive alignment of thermal ensembles of linear molecules. We find that our molecular alignment model not only provides a simplification for analytical and numerical calculations, but also establishes intuitive connections between system parameters, such as gas temperature and laser pulse intensity, and the resulting shape of the temporal molecular alignment.

Published
2023

23. Alternatively spliced MAP4 isoforms have key roles in maintaining microtubule organization and skeletal muscle function

Author

Lathan Lucas, Larissa Nitschke, Brandon Nguyen, James A. Loehr, George G. Rodney, and Thomas A. Cooper

Subjects
Cellular physiology, Molecular physiology, Molecular Structure, Functional aspects of cell biology, Science
Abstract

Summary: Skeletal muscle cells (myofibers) are elongated non-mitotic, multinucleated syncytia that have adapted a microtubule lattice. Microtubule-associated proteins (MAPs) play roles in regulating microtubule architecture. The most abundant MAP in skeletal muscle is MAP4. MAP4 consists of a ubiquitous MAP4 isoform (uMAP4), expressed in most tissues, and a striated-muscle-specific alternatively spliced isoform (mMAP4) that includes a 3,180-nucleotide exon (exon 8). To determine the role of mMAP4 in skeletal muscle, we generated mice that lack mMAP4 and express only uMAP4 due to genomic deletion of exon 8. We demonstrate that loss of mMAP4 leads to disorganized microtubule architecture and intrinsic loss of force generation. We show that mMAP4 exhibits enhanced association with microtubules compared to uMAP4 and that both the loss of mMAP4 and the concomitant gain of uMAP4 cause loss of muscle function. These results demonstrate the critical role for balanced expression of mMAP4 and uMAP4 for skeletal muscle homeostasis.

Published
2024
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24. Clinical Impact of Reperfusion Techniques and Occlusion Sites in Thrombectomy: Insights from the ASSIST Stroke Registry

Author

Ulf Neuberger, Lori Lyn Price, Salvador Miralbés, Bharath Naravetla, Alejandro Spiotta, Christian Loehr, Mario Martínez‐Galdámez, Ryan A. McTaggart, Luc Defreyne, Pedro Vega, Osama O. Zaidat, David S. Liebeskind, Rishi Gupta, Markus Alfred Möhlenbruch, and the ASSIST Investigators

Subjects
acute ischemic stroke, clinical outcomes, mechanical thrombectomy, occlusion locations, reperfusion techniques, Neurology. Diseases of the nervous system, RC346-429, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Background Mechanical thrombectomy has changed the landscape of acute ischemic stroke treatment, offering improved outcomes for patients with large vessel occlusions. The interplay between reperfusion techniques and occlusion sites remains a critical consideration in treatment decisions. This study investigates the impact of primary reperfusion techniques—stent retriever classic, stent retriever combination with aspiration, and direct aspiration—on procedural and clinical outcomes at different occlusion sites. Methods Using data from the ASSIST registry, a prospective multinational initiative, patients with anterior circulation acute ischemic stroke with large vessel occlusions (n = 1477) were included. Three primary occlusion sites—M1 segment of the middle cerebral artery, M2 segment of the middle cerebral artery, and the internal carotid artery—were studied. Univariate tests and multivariable logistic regression models were used to assess associations between reperfusion techniques and procedural and clinical outcomes, including the expanded thrombolysis in cerebral infarction score and the modified Rankin Scale, stratified by occlusion site. Results Achieving expanded thrombolysis in cerebral infarction ≥2c after first pass was lower in internal carotid artery occlusions (18.2%, P

Published
2024
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25. Cumulative socioeconomic status and incident type 2 diabetes among African American adults from the Jackson heart study.

Author

Glover, LáShauntá M, Martin, Chantel L, Green-Howard, Annie, Adatorwovor, Reuben, Loehr, Laura, Staley-Salil, Brooke, North, Kari E, and Sims, Mario

Subjects
Clinical Research, Obesity, Aging, Cardiovascular, Behavioral and Social Science, Diabetes, Prevention, Metabolic and endocrine, Public Health and Health Services
Abstract

BackgroundThe cumulative socioeconomic status (SES) model posits that childhood and adult experiences accumulate to influence disease risk. While individual SES indicators such as education and income are independently associated with incident type 2 diabetes (T2D), the association of cumulative SES and incident T2D is unclear, especially in African American adults.MethodsWe utilized cohort data of African American participants (n = 3681, mean age 52.6 years) enrolled in the Jackson Heart Study from 2000 to 2013 free of T2D or cardiovascular disease at baseline (2000-2004). Cumulative SES scores at baseline were derived using six SES indicators (education, wealth, income, occupation, employment status, and mother's education) categorized as low, middle, and high. Incident T2D was defined at exam 2 (2005-2008) or exam 3 (2009-2013) based on fasting glucose ≥126 mg/dL, HbA1c ≥ 6.5, reported diabetic medication use, or self-reported physician diagnosis. Proportional hazards regression, allowing for interval censoring, was used to estimate the association between cumulative SES and incident T2D (hazard ratio(HR), 95% confidence interval (CI)) after adjustment for covariates. Sex and age differences were tested using interaction terms.ResultsThere were 544 incident T2D cases. The association between low (versus high) cumulative SES and incident T2D was not significant (HR 1.04 [95% CI 0.85, 1.28]) and did not differ by sex (p value for interaction>0.05). However, there were differences by (age p value for interaction = 0.0052 for middle-aged adults and 0.0186 for older adults). Low (versus high) cumulative SES was associated a greater hazard of incident T2D among those 20-46 years (HR 1.12 [95% CI 1.03, 1.21]), 47-59 years (HR 1.25 [95% CI 1.06, 1.47]) and those 60-93 years (HR 1.39 [95% CI 1.09, 1.78]) after adjustment for sex and family history of diabetes. Associations attenuated after adding behavioral and lifestyle risk factors.ConclusionThe association of low cumulative SES and incident T2D differed by age, which may suggest interventionist should consider impacts of SES on T2D by age.

Published
2023

26. Search for effective Lorentz and CPT violation using ZEUS data

Author

ZEUS collaboration, Abt, I., Aggarwal, R., Aushev, V., Behnke, O., Bertolin, A., Bloch, I., Brock, I., Brook, N. H., Brugnera, R., Bruni, A., Bussey, P. J., Caldwell, A., Catterall, C. D., Chwastowski, J., Ciborowski, J., Ciesielski, R., Cooper-Sarkar, A. M., Corradi, M., Dementiev, R. K., Dusini, S., Ferrando, J., Foster, B., Gallo, E., Gangadharan, D., Garfagnini, A., Geiser, A., Grzelak, G., Gwenlan, C., Hochman, D., Jomhari, N. Z., Kadenko, I., Karshon, U., Kaur, P., Klanner, R., Korzhavina, I. A., Kovalchuk, N., Kuze, M., Levchenko, B. B., Levy, A., Löhr, B., Lohrmann, E., Longhin, A., Lorkowski, F., Lunghi, E., Makarenko, I., Malka, J., Masciocchi, S., Nagano, K., Nam, J. D., Onishchuk, Yu., Paul, E., Pidhurskyi, I., Polini, A., Przybycień, M., Quintero, A., Ruspa, M., Schneekloth, U., Schörner-Sadenius, T., Selyuzhenkov, I., Shchedrolosiev, M., Shcheglova, L. M., Sherrill, N., Skillicorn, I. O., Słomiński, W., Solano, A., Stanco, L., Stefaniuk, N., Surrow, B., Tokushuku, K., Turkot, O., Tymieniecka, T., Verbytskyi, A., Abdullah, W. A. T. Wan, Wichmann, K., Wing, M., Yamada, S., Yamazaki, Y., Zarnecki, A. F., and Zenaiev, O.

Subjects
High Energy Physics - Experiment, High Energy Physics - Phenomenology, High Energy Physics - Theory
Abstract

Lorentz and CPT symmetry in the quark sector of the Standard Model are studied in the context of an effective field theory using ZEUS $e^{\pm} p$ data. Symmetry-violating effects can lead to time-dependent oscillations of otherwise time-independent observables, including scattering cross sections. An analysis using five years of inclusive neutral-current deep inelastic scattering events corresponding to an integrated HERA luminosity of $372\; \text{pb}^{-1}$ at $\sqrt{s} = 318$ Gev has been performed. No evidence for oscillations in sidereal time has been observed within statistical and systematic uncertainties. Constraints, most for the first time, are placed on 42 coefficients parameterising dominant CPT-even dimension-four and CPT-odd dimension-five spin-independent modifications to the propagation and interaction of light quarks., Comment: 36 pages, 12 figures. Additional material included as an ancillary file for this arXiv entry

Published
2022

28. Relationship Between Severity of Ischemia and Coronary Artery Disease for Different Stress Test Modalities in the ISCHEMIA Trial

Author

Reynolds, Harmony R., Page, Courtney B., Shaw, Leslee J., Berman, Daniel S., Chaitman, Bernard R., Picard, Michael H., Kwong, Raymond Y., Min, James K., Leipsic, Jonathon, Mancini, G.B. John, Budoff, Matthew J., Hague, Cameron J., Senior, Roxy, Szwed, Hanna, Bhargava, Balram, Celutkiene, Jelena, Gadkari, Milind, Bainey, Kevin R., Doerr, Rolf, Ramos, Ruben B., Ong, Peter, Naik, Sudhir R., Steg, Philippe Gabriel, Goetschalckx, Kaatje, Chow, Benjamin J.W., Scherrer-Crosbie, Marielle, Phillips, Lawrence, Mark, Daniel B., Spertus, John A., Alexander, Karen P., O’Brien, Sean M., Boden, William E., Bangalore, Sripal, Stone, Gregg W., Maron, David J., Hochman, Judith S., Mavromatis, Kreton, Linefsky, Jason, Miller, Todd, Banerjee, Subhash, Newman, Jonathan D., Donnino, Robert M., Saric, Muhamed, Abdul-Nour, Khaled, Stone, Peter H., Jang, James J., Yee, Gennie, Weitz, Steven, Arnold, Suzanne, James Henry, O’Keefe, Jr, Shapiro, Michael D., Fein, Steven A., Torosoff, Mikhail T., Lyubarova, Radmila, Mookherjee, Sulagna, Drzymalski, Krzysztof, McFalls, Edward O., Garcia, Santiago A., Bertog, Stefan C., Siddiqui, Rizwan A., Ishani, Areef, Hansen, Ronnell A., Georges Khouri, Michel, Goldberg, Jonathan L., Goldweit, Richard, Cohen, Ronny A., Mirrer, Brooks, Navarro, Victor, Winchester, David E., Kronenberg, Marvin, McFarren, Christopher, Heitner, John F., Dauber, Ira M., Cannan, Charles, Sudarshan, Sriram, Mehta, Puja K., McDaniel, Michael, Lerakis, Stamatios, Quyyumi, Arshed, Wenger, Nanette K., Hedgepeth, Chester M., Hurlburt, Heather, Rosen, Alan, Sahul, Zakir, Leung, Steve, Reda, Hassan, Ziada, Khaled, Setty, Sampoornima, Barua, Rajat S., Hage, Fadi, Davies, James E., Leesar, Massoud, Heo, Jaekyeong, Iskandrian, Amy, Al Solaiman, Firas, Singh, Satinder, Dajani, Khaled, El-Hajjar, Mohammad, Der Mesropian, Paul, Sacco, Joseph, McCandless, Brian, Orgera, Marisa, Sidhu, Mandeep S., Arif, Imran, Kerr, Hanan, Trejo (Gutierrez), Jorge F., Fletcher, Gerald, Lane, Gary E., Neeson, Lynn M., Parikh, Pragnesh P., Pollak, Peter M., Shapiro, Brian P., Landolfo, Kevin, Gemignani, Anthony, OʼRourke, Daniel, Meadows, Judith L., Call, Jason T., Hannan, Joseph, Bojar, Robert, Kumar, Deepti, Mukai, John, Martin, Edward T., Vorobiof, Gabriel, Moorman, Alec, Kinlay, Scott, Hamburger, Robert J., Rocco, Thomas P., Bhatt, Deepak L., Croce, Kevin, Quin, Jacquelyn A., Anumpa, Jati, Zenati, Marco, Faxon, David P., Rayos, Glenn, Seedhom, Ashraf, Sullenberger, Lance, Kumkumian, Gregory, Sedlis, Steven P., Donnino, Robert M., Lorin, Jeffrey, Tamis-Holland, Jacqueline E., Kornberg, Robert, Leber, Robert, Saba, Souheil, Lee, Michael W., Small, Delano R., Nona, Wassim, Alexander, Patrick B., Rehman, Iram, Badami, Umesh, Marzo, Kevin, Robbins, Inga H., Levite, Howard A., Shetty, Sanjay, Patel, Mayuri, Hamroff, Glenn S., Little, Raymond W., Zimbelman, Brandi D., Lui, Charles Y., Smith, Brigham R., Vezina, Daniel P., Khor, Lillian L., Abraham, Josephine D., Bull, David A., McKellar, Stephen H., Booth, David, Kotter, John, Abdel-Latif, Ahmed, Hu, Bob, Labovitz, Arthur J., Berlowitz, Michael, Rogal, Philip, Matar, Fadi, Caldeira, Christiano, Rodriguez, Fatima, Schnittger, Ingela, Fearon, William F., Deedwania, Prakash, Reddy, Kiran, Sweeny, Joseph, Spizzieri, Christopher, Hochberg, Claudia P., Salerno, William D., Wyman, Ray, Zarka, Amer, Shah, Anil V., Haldis, Thomas, Kohn, Jeffrey A., Girotra, Saket, Almousalli, Omar, Krishnam, Mayil S., Milliken, Jeffrey C., Patel, Pranav M., Seto, Arnold H., Harley, Kevin T., Gibson, Michael A., Allen, Byron J., Coram, Rita, Thomas, Sabu, Schwartz, Ronald G., Chen, Wei, El Shahawy, Mahfouz, Stafford, James, Abernethy, William B., Zurick, Andrew, Meyer, Thomas M., Morford, Ronald G., Rutkin, Bruce, Bokhari, Sabahat, Sokol, Seth I., Meisner, Jay, Hamzeh, Ihab, Misra, Arunima, Matthew, Wall, Jr, De Rosen, Veronica Lenges, Alam, Mahboob, Turner, Michael C., Mulhearn, Thomas J., Good, Arnold P., Shammas, Nicolas W., Chilton, Robert, Nguyen, Patricia K., Jezior, Matthew, Gordon, Paul C., Crain, Thomas, Stenberg, Robert, Pedalino, Ronald P., Wiesel, Joseph, Juang, George J., Al-Amoodi, Mohammed, Wohns, David, Lader, Ellis W., Mumma, Michael, Dharmarajan, Lekshmi, Joseph F.X., McGarvey, Jr, Downes, Thomas R., Luckasen, Gary J., Cheong, Benjamin, Potluri, Srinivasa, Mastouri, Ronald A., Breall, Jeffery A., Revtyak, George E., Bazeley, Jonathan W., Li, Dayuan, Giedd, Kenneth, Old, Wayne, Burt, Francis, Sokhon, Kozhaya, Gopal, Deepika, Valeti, Uma S., Kobashigawa, Jon, Chakanalil Govindan, Sajeev, Gopalan Nair, Rajesh, Nanjappa Manjunath, Cholenahally, Moorthy, Nagaraja, Cholenahally Manjunath, Satvic, Narayanappa, Suryaprakash, Pandit, Neeraj, Kumar Nath, Ranjit, Dwivedi, S.K., Narain, V.S., Chandra, Sharad, Wander, Gurpreet S., Tandon, Rohit, Ralhan, Sarju, Aslam, Naved, Goyal, Abhishek, Karthikeyan, G., Ramakrishnan, S., Seth, Sandeep, Yadav, Rakesh, Singh, Sandeep, Roy, Ambuj, Parakh, Neeraj, Kumar Verma, Sunil, Narang, Rajiv, Mishra, Sundeep, Naik, Nitish, Sharma, Gautam, Kumar Choudhary, Shiv, Patel, Chetan, Gulati, Gurpreet, Sharma, Sanjeev, Bahl, V.K., Mathew, Anoop, Punnoose, Eapen, Gadage, Siddharth, Umesh Pillay, Tapan, Satheesh, Santhosh, Mathur, Atul, Christopher, Johann, Menon, Rajeev, Kumar, Nirmal, Oomman, Abraham, Mao, Robert, Solomon, Hilda, Parveen Khan, Sajeeda, Grant, Purvez, Kachru, Ranjan, VK, Ajit Kumar, Ganapathi, Sanjay, K., Jayakumar, Sivadasanpillai, Harikrishnan, Sasidharan, Bijulal, T.R., Kapilamoorthy, Polamuri, Praneeth, Kaul, Upendra, Fox, Keith A.A., Carruthers, Kathryn, Elghamaz, Ahmed, Gurunathan, Sothinathan, Karogiannis, Nikolaos, Shah, Benoy N., Trimlett, Richard H.J., Rubens, Michael B., Nicol, Edward D., Mittal, Tarun K., Hampson, Reinette, Andreas Gamma, Reto, de Belder, Mark A., Thambyrajah, Jeet, Nageh, Thuraia, Davies, John R., Lindsay, Steven J., Kurian, John, Jamil, Haqeel, Raheem, Osama, Hoye, Angela, Donnelly, Patrick, Valec ka, Bernardas, Chauhan, Anoop, Barr, Craig, Alfakih, Khaled, Byrne, Jonathan, Webb, Ian, Henriksen, Peter, O. Kane, Peter, de Silva, Ramesh, Conway, Dwayne S.G., Sirker, Alexander A., Hoole, Stephen P., Witherow, Fraser N., Johnston, Nicola, Harbinson, Mark, Walsh, Simon, Douglas, Hanna, Luckie, Matthew, Sobolewska, Jolanta, Jeetley, Paramjit, Patel, Niket, Kotecha, Tushar, Travill, Christopher, Karimullah, Iqbal, Al-Bustami, Mahmud, Braganza, Denise, Henderson, Robert, Pointon, Kate, Naik, Surendra, Mathew, Thomas, Berry, Colin, Collison, Damien, Roditi, Giles, Moriarty, Andrew J., Glover, Jason D., Pradhan, Jiwan, Ghada, Mikhail, Francis, Darrel P., Dzavik, Vladimir, Diaz, Ariel, Rheault, Philippe, Barrero, Miguel, Gagné, Carl-Éric, Pépin-Dubois, Yanek, Costa, Ricardo, Tung Sia, Ying, Lemay, Catherine, Gisbert, Alejandro, Gervais, Pierre, Rheault, Alain, Carl Phaneuf, Denis, Gosselin, Gilbert, Garg, Pallav, Hessian, Renee C., Beanlands, Rob S., Davies, Richard F., Cheema, Asim N., Bagai, Akshay, Wald, Ron, Goodman, Shaun, Graham, John Joseph, Peterson, Mark, Chow, Chi-Ming, Abramson, Beth, Nazir Cheema, Asim, Tariq Vakani, Mohammad, Cha, James, Howarth, Andrew G., Wong, Graham, Uxa, Amar, Galiwango, Paul, Kassam, Saleem, Mukherjee, Ashok, Joseph Ricci, A., Lam, Andy, Me, Shamir, Udell, Jacob, Généreux, Philippe, Hameed, Adnan, Daba, Ledjalem, Hueb, Whady, Cury Rezende, Paulo, Ciappina Hueb, Alexandre, Emanuela, Paola, Smanio, Poggio, Schaan de Quadros, Alexandre, Abdala, Renato, Kalil, Karam, da Costa Vieira, José Luiz, Grossmann, Gabriel, Píccaro de Oliveira, Pedro, Bridi, Leonardo, Savaris, Simone, Vitola, João V., Cerci, Rodrigo J., Farias, Fabio R., Fernandes, Miguel M., Antonio Marin-Neto, José, Schmidt, André, de Oliveira Lima Filho, Moysés, Mendes Oliveira, Ricardo, Reynaldo, João, Chierice, Abbud, Polanczyk, Carísi A., Furtado, Mariana V., Smidt, Luis F., Carlos Carvalho, Antonio, Pucci, Gustavo, Lyra, Flavio, Rabelo, Alvaro, Junior, Alves, Dracoulakis, Marianna D.A., Lima, Rodolfo G.S.D., Figueiredo, Estevao, Ricardo Caramori, Paulo, Tumelero, Rogerio, Dall’Orto, Frederico, Mesquita, Claudio T., Colafranseschi, Alexandre S., Amarino C., Oliveira, Jr, Carvalho, Luiz A., Palazzo, Isabella C., Sousa, Andre S., da Silva, Expedito Eustáquio Ribeiro, Gabriel, Pedro, de Barros e Silva, Melo, de Pádua Silva Baptista, Luciana, Jamus Rodrigues, Marcelo, de Resende, Marcos Valério Coimbra, Francisco Saraiva, Jose, Costantini, Costantino, Ruzyllo, Witold, Demkow, Marcin, Pracon, Radoslaw, Kepka, Cezary, Teresinska, Anna, Kryczka, Karolina, Henzel, Jan, Solecki, Mateusz, Kaczmarska, Edyta, Mazurek, Tomasz, Drozdz, Jaroslaw, Czarniak, Bartosz, Frach, Malgorzata, Szymczyk, Konrad, Niedzwiecka, Iwona, Sobczak, Sebastian, Ciurus, Tomasz, Jakubowski, Piotr, Misztal-Teodorczyk, Magdalena, Teodorczyk, Dawid, Fratczak, Aleksandra, Szkopiak, Marcin, Lebioda, Patrycja, Wlodarczyk, Michal, Plachcinska, Anna, Kusmierek, Jacek, Miller, Magdalena, Marciniak, Halina, Wojtczak-Soska, Karolina, Łuczak, Katarzyna, Tarchalski, Tomasz, Cichocka-Radwan, Anna, Anna Szulczyk, Grazyna, Witkowski, Adam, Kukuła, Krzysztof, Celińska-Spodar, Małgorzta, Zalewska, Joanna, Gajos, Grzegorz, Bury, Krzysztof, Pruszczyk, Piotr, Roik, Marek, Łoboz-Grudzień, Krystyna, Sokalski, Leszek, Brzezińska, Barbara, Lesiak, Maciej, Łanocha, Magdalena, Reczuch, Krzysztof W., Kalarus, Zbigniew, Swiatkowski, Andrzej, Szulik, Mariola, Musial, Wlodzimierz J., Bockeria, Leo, Petrosyan, Karen, Trifonova, Tatiana, Chernyavskiy, Alexander M., Kretov, Evgeniy I., Grazhdankin, Igor O., Bershtein, Leonid L., Sayganov, Sergey A., Kuzmina-Krutetskaya, Anastasia M., Zbyshevskaya, Elizaveta V., Katamadze, Nana O., Demchenko, Elena A., Kozlov, Pavel S., Kozulin, Vikentiy Y., Lubinskaya, Ekaterina I., Lopez-Sendon, Jose, Castro, Almudena, Refoyo Salicio, Elena, Guzman, Gabriela, Galeote, Gabriel, Valbuena, Silvia, Peteiro, Jesús, Dolores Martínez-Ruíz, María, Pérez-Fernández, Ruth, Cuenca-Castillo, José J., Flores-Ríos, Xacobe, Prada-Delgado, Óscar, Barge-Caballero, Gonzalo, Ramon Gonzalez Juanatey, Jose, Souto Bayarri, Miguel, Pubull Nuñez, Virginia, Ocaranza Sanchez, Raymundo, Cid Alvarez, Belen, Peña Gil, Carlos, Martinez Monzonis, Amparo, Sionis, Alessandro, Vila Perales, Montserrat, Maria Padró, Josep, Serra Peñaranda, Antonio, García Picart, Joan, Ginel Iglesias, Antonino, Garcia-Moll Marimon, Xavier, Pons Lladó, Guillem, Carreras Costa, Francesc, Miro, Vicente, Diez, Jose L., Calvillo, Pilar, Marin Ortuño, F., Valdés Chávarri, M., Tello Montolliu, A., Pinar Bermudez, E., De La Morena, G., Gracida Blancas, Montserrat, Enrique Castillo Luena, Jose, Fernandez-Aviles, Francisco, Chen, Jiyan, Wu, Yongjian, Ma, Yitong, Yang, Yining, Ji, Zheng, Yang, Xinchun, Lin, Wenhua, Zeng, Hesong, Fu, Xin, Wang, Songtao, Cheng, Gong, Zhao, Yulan, Fang, Xuehua, Zeng, Qiutang, Su, Xi, Li, Qingxian, Nie, Shao-Ping, Yu, Qin, Wang, Jianʼan, Zhang, Shuyang, Liu, Zhenyu, Maggioni, Aldo P., Piero Perna, Gian, Marini, Marco, Gabrielli, Gabriele, Provasoli, Stefano, Verna, Edoardo, Monti, Lorenzo, Nardi, Barbara, Di Chiara, Antonio, Mortara, Andrea, Galvani, Marcello, Ottani, Filippo, Sicuro, Marco, Calabro, Paolo, Formisano, Tiziana, Tarantini, Giuseppe, Cucchini, Umberto, Luigi Andres, Anto, Racca, Emanuela, Briguori, Carlo, Amati, Roberto, Vergoni, William, Russo, Aldo, Fanelli, Raffaele, Poh, Kian-Keong, Chai, Ping, Lau, Titus, Loh, Joshua P., Tay, Edgar L., Teoh, Kristine, Teo, Lynette L., Ong, Ching-Ching, Wong, Raymond C., Loh, Poay-Huan, Kofidis, Theodoros, Xian Chan, Wan, Hui Chan, Koo, Foo, David, Loh Kwok Kong, Jason, Ching, Min, Er, Haider Jafary, Fahim, Chua, Terrance, Stumpf, Juergen, Matschke, Klaus, Simonis, Gregor, Kadalie, Clemens T., Sechtem, Udo, Christian Schulze, P., Goebel, Bjoern, Lenk, Karsten, Nickenig, Georg, Schuchlenz, Herwig, Weikl, Stefan, Marthe Lang, Kurt Huber, Irene, Jakl-Kotauschek, Gabriele, Vertes, Matyas Keltai Andras, Varga, Albert, Fontos, Geza, Merkely, Bela, Kerecsen, Gabor, Hinic, Sasa, Zdravkovic, Marija, Mudrenovic, Vladan, Crnokrak, Bogdan, Beleslin, Branko D., Boskovic, Nikola N., Petrovic, Marija T., Dobric, Milan R., Markovic, Zeljko Z., Mladenovic, Ana S., Cemerlic-Adjic, Nada, Davidović, Goran, Vučić, Rada, Nikola Dekleva, Milica, Stankovic, Goran, Apostolovic, Svetlana, Escobedo, Jorge, Baleón-Espinosa, Rubén, Campos-Santaolalla, Arturo S., Durán-Cortés, Elihú, Flores-Palacios, José M., García-Rincón, Andrés, Jiménez-Santos, Moisés, Peñafiel, Joaquín V., Ortega-Ramírez, José A., Valdespino-Estrada, Aquiles, Alexánderson Rosas, Erick, Murphy, Deirdre, Selvanayagam, Joseph B., Joseph, Majo X., Thambar, Suku T., Rankin, Jamie, Beltrame, John F., Hillis, Graham S., Thuaire, Christophe, Dutoiu, Téodora, Juliard, Jean-Michel, Slama, Michel S., El Mahmoud, Rami, Nicollet, Eric, Goube, Pascal, Barone-Rochette, Gilles, Furber, Alain, Bière, Loïc, Laucevicius, Elvin Kedhi, Aleksandras, Timmer, MD Jorik, Hermanides, Rik, Kaplan, Eliza, Riezebos, Robert K., Samadi, Pouneh, van Dongen, Elise, Niehe, Sander R., Suryapranata, Harry, van Vugt, Stijn, Cacela, Duarte, Santana, Ana, Fiarresga, Antonio, Sousa, Lidia, Marques, Hugo, Patricio, Lino, Bernanrdes, Luis, Rio, Pedro, Carvalho, Ramiro, Ferreira, Rui, Silva, Tiago, Rodrigues, Ines, Modas, Pedro, Portugal, Guilherme, Fragata, Jose, Pinto, Fausto J., Nobre Menezes, Miguel, Cantinho Lopes, Guilhermina, Gomes Almeida, Ana, Canas Silva, Pedro, Nobre, Angelo, Rita Francisco, Ana, Ferreira, Nuno, Lopes, Ricardo L., Diaz, Rafael, Guzman, Luis, César Figal, Julio, Méndiz, Oscar, Cortés, Claudia, René Favaloro, Roberto, Alvarez, Carlos, Courtis, Javier, Zeballos, Gabriela, Schiavi, Lilia, Rubio, Mariano, Alsweiler, Caroline, Patrick Devlin, Gerard, Fisher, Raewyn, Alan Huston Stewart, Ralph, Douglas White, Harvey, Benatar, Jocelyne, Kedev, Sasko, Peovska Mitevska, Irena, Srbinovska Kostovska, Elizabeta, Pejkov, Hristo, Held, Claes, Eggers, Kai, Frostfelt, Gunnar, Johnston, Nina, Olsowka, Maciej, Åkerblom, Axel, Soveri, Inga, Aspberg, Johannes, Beyar, Rafael, Nikolsky, Eugenia, Sharir, Tali, Elian, Dan, Kerner, Arthur, Massalha, Samia, Fukuda, Keiichi, Kohsaka, Shun, Yasuda, Satoshi, Nishimura, Shigeyuki, Van de Werf, Frans, Claes, Kathleen, Hung, Chung-Lieh, Yun, Chun-Ho, Jia-Yin Hou, Charles, Kuo, Jen-Yuan, Yeh, Hung-I, Hung, Ta-Chuan, Li, Jiun-Yi, Chien, Chen-Yen, Tsai, Cheng-Ting, Liu, Chun-Chieh, Yu, Fa-Chang, Lin, Yueh-Hung, Lan, Wei-Ren, Yen, Chih-Hsuan, Tsai, Jui-Peng, Sung, Kuo-Tzu, Ntsekhe, Mpiko, Pandie, Shaheen, Viljoen, Charle A., De Andrade, Marianne, Moccetti, Tiziano, Grazia Rossi, M., Abdelhamid, Magdy, Adel, Ahmed, Kamal, Ahmed, Mahrous, Hossam, El Kaffas, Sameh, El Fishawy, Hussien, Pop, Calin, Claudia, Matei, Popescu, Bogdan A., Ginghina, Carmen, Deleanu, Dan, Iliescu, Vlad A., Al-Mallah, Mouaz H., Aljzeeri, Ahmed, Najm, Hani, Alghamdi, Ali, Ramos, Walter Enrique Mogrovejo, Kuanprasert, Srun, Prommintikul, Arintaya, Nawarawong, Weerachai, Woragidpoonpol, Surin, Tepsuwan, Thitipong, Taksaudom, Noppon, Rimsukcharoenchai, Chataroon, Euathrongchit, Juntima, Wannasopha, Yutthaphan, Yamwong, Sukit, Sritara, Piyamitr, Aramcharoen, Suthara, Meemuk, Krissada, Khairuddin, Ahmad, Abd Hadi, Hafidz, Azmi Yahaya, Shaiful, Doan, John, Lee, Raven, Patel, Risha, Yang Cho, So, Milbrandt, Susan, Shelstad, Dawn, Kamath, Preeti, Tejani, Ishita, Quiles, Kirsten J., Schley, Allison, Golden, Heather, Osseni, Hermine, Wiyarand, Charlene, Douglass, Peter, Pomeroy, Hayley, Craft, Alexandra, Harvey, Bethany, Anaya, Olivia, Goold, Phoebe, Giovannone, Steven, Pritchard, Lori, Gans Paul Kennedy, Rosann, Ganesan, Shobana, Schlichting, David, Naher, Aynun, Stewart, Wendy L., Salmi, Kristin M., Johnson, Debra K., Herrmann, Rebekah R., Arges, Kristine, LeFevre, Melissa, Tomfohr, Jennifer, Ann Byrne, Kimberly, Zappernick, Taissa, Canada, Sallie, Kakade, Meghana, Mieses, Patricia, Cobos, Stanley E., Dwyer, Raven R., Espinosa, Dalisa, Quiles, Kirsten J., Rantinella, Magdalena, Rodriguez, Jessica, Mancilla, Olivia, Stinson, Susan, Weyand, Terry, Crook, Sherron C., Ho, Jean, Khan, Saadat, Mohamed, Mahmoud, Soltau, Mary R., Rose, Delsa K., Wimmer, Rebecca J., Desire, Sukie, Rashid, Fauzia, Asier, Senait, Patel, Keyur, Gillis, Jennifer, Manocchia, Megan, Moore, Susan, Congdon, Elizabeth, Brandt, Gail, Marchelletta, Nora, Wippler, Kristina, Halverson, Kimberly E., Roraff, Christine, Thorsen, Jonean, Ojajuni, Amarachi, Olurinde, Oni, Surineni, Kamalakar, Valaiyapathi, Badhma, Kartje, Carol M., Rawlins, Michele, Thomson, Jennifer, Colleen Rogge, Mary, Bunke, Julie, Unterbrink, Kendra, Fannon, Jacqueline, Burman, Cynthia, Dubin, Marcia F., Beaudry, Sarah, Tirado, Stephanie A., Halliday, Janet, Julian, Stephanie, Pamela, Stanford M. Lane, Jennifer L., Arsenault, Patricia, Sigel, Pamela, Brooks, Miriam, Douangvila, Ladda, Gevorgyan, Rubine, Ranjbaran, Fatima, Smith, Bryn, Ohmart, Carly, Ly, Samantha, Quinn, Margot C., Temiyasathit, Sara, Do, Jacquelyn, Tobin, Desiree, Langdon, Jennifer, Werner Bayer, Marcia, OʼMalley, Amanda, Orvis, Erin, Murphy, Mandy, Greenberg, Ann, Iraola, Margaret, Maranan, Leandro C., Malinay, Ammy, Edillo, Candice P., Ostrander, Ann, Wasmiller, Stephanie, Drewes, Wendy, Patel, Dipti, White, Jackie M., Hallam, Alison, Spooner, Benjamin J., Hollenweger, Linda M., Little, Holly, Little, Tiffany, Eskelson, Nona A., Taul, Yvonne, Rodgers, Caroline, Isaacs, Jennifer, Bulkley, Viktoria, Kaneshiro, Renee, Kirby, Bonnie J., Tran, Nhi N., Jahrsdorfer, Catherine, Yunis, Reem, Patro, Jhina, Vega, Antonia, Bloise-Adames, Hugo, Jimenez, Santa, Saint Vrestil, Nicole, Bhandari, Reyna, Schade, Danielle, Yost, Roxanne, Beardsley, Paula, Fine, Denise, Tancredi, Jana, Arakelian, Patricia, Mathus, Susan, 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Santos, Marco, Germann, Amanda, Gomes, Vitor, Homem, Rosa, Magedanz, Ellen, Laimer, Rosane, Tognon, Alexandre, Santos, Roberta P., Yumi Okada, Mariana, Paula Batista, Ana, Nogueira Rabaça, Aline, Miranda Trama, Larissa, Silva, Talita, de Souza Ormundo, Camila Thais, Vicente, Carla, Pinheiro, Caroline, Komar, Daniele, Walesiak, Olga, Malinowska, Katarzyna, Maksym, Jakub, Wojtera, Karolina, Fojt, Anna, Szczerba, Ewa, Swiderek, Marta, Wojtala, Ewelina, Karwowski, Jaroslaw, Łabyk, Andrzej, Szramowska, Agnieszka, Zdończyk, Olga, Jaroch, Joanna, Kolodziej, Adam, Marcinkiewicz-Siemion, Marta, Bockeria, Olga, Kudzoeva, Zalina, Aripova, Nodira, Naryshkin, Ivan A., Kuleshova, Alena, Malaev, Dastan, Subbotina, Irina, Gumerova, Victoria, Nikolaeva, Olga B., Fernández-Figares, Pharm, Virginia, Alonso-Álvarez, Moisés Blanco-Calvo Encarnación, García-González, Paula, Seijas Amigo, Jose, Fernández Martínez, Begoña Igual, Ana, Romero Aniorte, M. Quintana Giner A.I., Rivera Caravaca, J.M., Cañavate, Olga, Guerrero, Sonia, Riera, Silvia, Lasala, Maria, Lorenzo, Maria, Sobrino, Olga, Vazquez, Alexandra, Dong, Haojian, He, Peiyu, Xia, Chunli, Yang, Junqing, Zhong, Qi, Tian, Yanmeng, Li, Dongze, Li, Xiaomei, Ma, Xiang, Yu, Zixiang, Zhao, Qian, Li, Chunguang, Zhang, Lei, Zhao, Yu, Zhu, Bolin, Chen, Mulei, Chi, Hongjie, Wang, Yang, Zhang, Jing, Jing, Rui, Liu, Jingjing, Zhou, Qiang, Xu, Chang, Li, Zhuxi, Li, Junhua, Xiong, Luyang, Gao, Dan, Jiang, Dengke, Leng, Ran, Wang, Xutong, Yuan, Qianqian, Zhang, Lili, Bai, Ziliang, Li, Jianhua, Qi, Jie, Wang, Fei, Wang, Haitao, Yang, Bin, Yue, Zhou, Zhang, Zhulin, Dong, Yumei, Mao, Jiajia, Zhang, Bin, Li, Xiuhong, Yao, Xiaowei, Zhong, Nier, Zhou, Ning, Huang, Yaping, Zhou, Wei, Panpan, Peng, Yu Kunwu Yudong, Su, Xin, Wang, Chen, Zhao, Yunhai, Geng, Yaming, Wang, Yanfu, Fan, Jing-Yao, Feng, Si-Ting, Wang, Xiao, Yan, Yan, Zhang, Hui-Min, Chi, Lingping, Liu, Fang, Chen, Han, Jiang, Jun, Li, Huajun, Han, Yechen, Xu, Lihong, Chen, Gang, Hu, Rongrong, Pietrucci, Francesca, Di Donato, Anna, Pezzetta, Francesca, Casali, Valentina, Attanasio, Chiara, Leone, Gianpiero, Pisano, Francesco, Bare, Cristina, Fimiani, Fabio, Barioli, Alberto, Ramani, Federica, Rolfo, Fabrizio, Goletto, Cecilia, De Micco, Francesca, Di Marco, Stefano, Tricoli, Martina, Villella, Massimo, Tan, Sik-Yin V., Sia, Winnie C., Leong, Audrey W., Hai Yan, Li, Ismail, Nasrul, Tun Kyaw, Min, Yip, Deborah, Grahl, Dorit, Guenther, Franziska, Bonin, Kerstin, Wenzelburger, Ina, Gruensfelder, Susanne, Sinning, Jan-Malte, Weber, Marcel, Werner, Nikos, Steinmaurer, Gudrun, Winter, Tijana, Andric, Max-Paul, Tscharre, Claudia, Maximilian, Bernhard, Jäger, Wegmayrc, Egger, Floria, Davidovits, Judit Sebo Zoltan, Matics, Laszlone, Ágoston, Gergely, Dekany, Gabor, Bartykowszki, Andrea, Jakal, Agnes, Djokic, Jelena, Djordjevic-Dikic, Ana D., Giga, Vojislav L., Stepanovic, Jelena J., Velicki, Lazar, Pupic, Ljiljana, Simović, Stefan M., Stevo Martinovic, Miroslav, Stevanovic, Gordana, Dobric, Milan, Salinger Martinovic, Sonja, Stanojevic, Dragana, de Jesús-Pérez, Ramon, Brassetti, María Fernanda Canales, Adrián Vences Anaya, Diego, Pérez García, María, Estela Carvajal Juarez, Isabel, Madero Rovalo, Magdalena, Lee, Sau, Thomas, Prince, Chaplin, Melissa D., Stansborough, Jeanette K., Black, Marilyn, Bonner, Michelle M., Ireland, Kim F., Venn-Edmonds, Clare, Thobois, Corine, Tachot, Emilie, Laure, Christophe, Vassaliere, Christel, Abergel, Helene, Fuentes, Axelle, Eliahou, Ludivine, Dubourg, Olivier, Michaud, Pierre, Hadjih, Sarah, Brito, Patricia, Cornet, Charles, Rautureau, Jeremy, Juceviciene, Agne, Kalibataite-Rutkauskiene, Irma, Keinaite, Laura, Laukyte, Monika, Mikolaitiene, Gelmina, Smigelskaite, Akvile, Tamasauskiene, Ilona, Urboniene, Agne, Bouwhuis, Ilse, Nijmeijer, Jeannette, Lia, Elisabeth, J.M. Schoep, Ahoud, M. Janzen Sandra, Selas, Mafalda, Silva, Filipa, Freixo, Cláudia, Zimbarra Cabrita, Inês, Rocha, Andreia, Patuleia Figueiras, Francisca, Coelho, Andreia, Capinha, Marta, Inês Caetano, Maria, Silva, Susana, Tinnirello, Veronica, Nicolás Mungo, Matías, Garcia, Marina, Godoy, Valeria, Victoria Actis, Maria, Scaro, Graciela, Low, Liz, Scales, Jayne, Abercrombie, Kirsty, Howell, Leah, Patten, Cathrine, Björklund, Christina, Andreasson, Maria, Essermark, Marie, Persson, Liselotte, Harel, Or, Bentzvi, Margalit, Helmer, Ludmila, Ueda, Ikuko, Fujita, Jun, Furukawa, Akemi, Hirase, Kanae, Nagai, Toshiyuki, Otsuka, Fumiyuki, Nakano, Shintaro, Robesyn, Valerie, Yang, Yi-Hsuan, Mtana, Noloyiso, Anesini, Adriana, Maspoli, Simona, Mombelli, Manuela, Talaat, Ahmed, Rosca, Monica, Beladan, Carmen C., Zahrani, Sarah, Antonio Monsalve Davila, Marco, Khwakhong, Supatchara, Chaiyasri, Anong, Mekara, Warangkana, Kulthawong, Supap, Amaritakomol, Anong, Panpunuan, Pachara, Syamira Mokhtar, Noor, Asiah Basri, Nor, Yusnida, Irni, Hashim, Humayrah, Berger, Jeffrey, Williams, David, Harrington, Robert, Jiang, Lixin, Lopes, Renato D., Noel Bairey Merz, C., Weintraub, William, Donato Morales Rodríguez, Erick, Maurovich-Horvat, Pal, Sonawane, Poonam, Francis, Ramakrishnan, Rajesh, Nayak, T. Soundarya, Boer, Stephanie C., Rosenberg, Yves, Hamm, Christian, Helm, Malte, Peterson, Eric, Ballantyne, Christie, Calfas, Karen, Ann Champagne, Mary, Fleg, Jerome, McCullough, Peter A., Menasche, Philippe, Davidson, Michael, Fremes, Stephen, Guyton, Robert, Mack, Michael, Mohr, Fred, Rao, Anupama, Sabik, Joe, Shapira, Oz, Taggart, David, Tatoulis, James, Blankenship, Jim, Brener, Sorin, Buller, Chris, Colombo, Antonio, de Bruyne, Bernard, Kereiakes, Dean, Lefevre, Thierry, Moses, Jeffrey, Mahaffey, Ken, Cruz-Flores, Salvador, Danchin, Nicholas, Feen, Eli, Garcia, Mario J., Hauptman, Paul, Laddu, Abhay A., Passamani, Eugene, Pina, Ileana L., Simoons, Maarten, Skali, Hicham, Thygesen, Kristian, Waters, David, Endsley, Patricia, Esposito, Gerard, Kanters, Jeffrey, Pownall, John, Stournaras, Dimitrios, Friedrich, Matthias, Hachamovitch, Rory, Oliver, Dana, Harrel, Frank, Blume, Jeffrey, Lee, Kerry, Kullo, Iftikhar, McManus, Bruce, Newby, Kristin, Cohen, David, Bugiardini, Raffaele, Mattina, Deirdre, Ali, Ziad, Mathew, Roy, Friedman, Lawrence, Anderson, Jeffrey, Berg, Jessica, DeMets, David, Michael Gibson, C., Lamas, Gervasio, Deming, Nicole, Himmelfarb, Jonathan, Ouyang, Pamela, Woodard, Pamela, Nwosu, Samuel, Kirby, Ruth, Jeffries, Neal, Denaro, Jean E., Boumakis, Stephanie, Chan, Kevin, Cobb, Gia, Contreras, Aira, Cukali, Diana, Ferket, Stephanie, Gabriel, Andre, Hansen, Antonietta, Roberts, Arline, Chang, Michelle, Islam, Sharder, Wayser, Graceanne, Yakubov, Solomon, Yee, Michelle, Callison, Caroline, Hogan, Isabelle, Qelaj, Albertina, Pirro, Charlotte, Van Loo, Kerrie, Wisniewski, Brianna, Gilsenan, Margaret, Lang, Bevin, Mohamed, Samaa, Esquenazi-Karonika, Shari, Mathews, Patenne D., Naumova, Anna, Lyo, Jihyun, Setang, Vincent, Xavier, Mark, Anstrom, Kevin, Baloch, Khaula, Blount, Janet, Cowper, Patricia, Davidson-Ray, Linda, Drew, Laura, Harding, Tina, David Knight, J., Minshall Liu, Diane, O’Neal, Betsy, Redick, Thomas, Jones, Philip, Nugent, Karen, Jingyan Wang, Grace, Goyal, Abhinav, Hetrick, Holly, Hayes, Sean W., Friedman, John D., Mark Hyun, R. James Gerlach, Miranda-Peats, Romalisa, Slomka, Piotr, Thomson, Louise, Pierre Mongeon, Francois, Michael, Steven, Hung, Judy, Zeng, Xin, Eckstein, Jane, Guruge, Bandula, Streif, Mary, Alfonso, Maria A., Corral, Maria P., Garcia, Javier J., Horst, Jennifer, Jankovic, Ivana, Konigstein, Maayan, Lustre, Mitchel B., Peralta, Yolayfi, Sanchez, Raquel, Arsanjani, Reza, Elmor, Kimberly, Gomez, Millie, Hindoyan, Niree, Nakanishi, Rine, Barbara Srichai-Parsia, M., Yeoh, Eunice, Youn, Tricia, Bianchini, Francesca, Ceseri, Martina, Lorimer, Andrea, Magnoni, Marco, Orso, Francesco, Sarti, Laura, Mazza Barbosa, Lilian, Bello Duarte, Tauane, Colaiácovo Soares, Tamara, de Aveiro Morata, Julia, Carvalho, Pedro, de Carvalho Maffei, Natalia, Egydio, Flávia, Kawak, Anelise, Oliveira, Janaina, Restelli Piloto, Elissa, Pozzibon, Jaqueline, Camara, Diane, Mowafy, Neamat, Spindler, Caroline, Dai, Hao, Feng, Fang, Li, Jia, Li, Li, Liu, Jiamin, Xie, Qiulan, Zhang, Haibo, Zhang, Jianxin, Zhang, Lihua, Zhang, Liping, Zhang, Ning, Zhong, Hui, Escobar, Claudia, Eugenia Martin, Maria, Pascual, Andrea, Moraga, Paloma, Hernandez, Victoria, Posada, Maria, Fernandez, Sara, Luis Narro Villanueva, José, Selgas, Rafael, Luyten, Ann, Garcevic, Nevena, Stojkovic, Jelena, Ahmed, Asker, Bhatt, Richa, Chadha, Nitika, Kumar, Vijay, Lubna, Sadath, Naik, Pushpa, Pandey, Shruti, Ramasamy, Karthik, Saleem, Mohammed, Sharma, Pratiksha, and Siddaram, Hemalata

Published
2024
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29. Bijective proofs of some coinversion identities related to Macdonald polynomials

Author

Loehr, Nicholas A.

Subjects
Mathematics - Combinatorics
Abstract

This paper gives bijective proofs of some novel coinversion identities first discovered by Ayyer, Mandelshtam, and Martin (arxiv:2011.06117) as part of their proof of a new combinatorial formula for the modified Macdonald polynomials $\tilde{H}_{\mu}$. Those authors used intricate algebraic manipulations of $q$-binomial coefficients to prove these identities, which imply the existence of certain bijections needed in their proof that their formula satisfies the axioms characterizing $\tilde{H}_{\mu}$. They posed the open problem of constructing such bijections explicitly. We resolve that problem here., Comment: 10 pages

Published
2022

31. Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification

Author

Löhr, Timo, Ingrisch, Michael, Hüllermeier, Eyke, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Finkelstein, Joseph, editor, Moskovitch, Robert, editor, and Parimbelli, Enea, editor

Published
2024
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34. Broth microdilution protocol for determining antimicrobial susceptibility of Legionella pneumophila to clinically relevant antimicrobials

Author

Afzal, Amna, Allam, Camille, Amemura-Maekawa, Junko, Andersson, Sabina, Pérez, Elisenda Arqué, Astrid, Muyldermans, Bangsborg, Jette Marie, Bargellini, Annalisa, Barna, Zsófia, Beeton, Michael, Bigler, Mellina, Bošnjak, Selma, Brandsema, Petra, Brewin, Brett, Broger, Tobias, Brown, Derek, Coroneo, Valentina, Rotger, Sebastian Crespi, Cristino, Sandra, De Jong, Birgitta, Demuyser, Thomas, Doniselli, Nicola, Surman-Lee, Susanne, Elverdal, Pernille L., Erdogan, Haluk, Eriksen, Helle, Euser, Sjoerd, Fermi, Beatrice, Azcona, Juan Angel Ferrer, Franzin, Laura, Goldenberg, Simon, Gonçalves, Paulo, Fernandez, Tiscar Graells, Haider, Julia, Henderson, Kelley, Ibranosyan, Marine, Joergensen, Charlotte Svaerke, Jomidava, Tinatin, Jovanovic, Milica, Jowitt, Maddy, Katsemi, Evdokia, Keynan, Yoav, Kieper, Laurine, Kindingstad, Louise, Kozak-Muiznieks, Natalia, Kunwar, Digbijay, Kura, Fumiaki, Kyritsi, Maria, Lee, John Vincent, Löhr, Iren Høyland, Majeska, Kristin, Mäusezahl, Daniel, Mendris, Michail, Michel, Charlotte, Moore, Ginny, Moretti, Marco, Mustermann, Maximilian Test, Naguthevar, Santhanam, Paduano, Stefania, Niño, Noemí Párraga, Pedro-Botet, Maria Luisa, Castro, Sonia Perez, Pissarides, Nicholas, Prevost, Michele, Reukers, Daphne, Robesyn, Emmanuel, Schönning, Caroline, Simone, Graf, Stuart, Adam, Templeton, Kate, Topalli, Claudia, Uhle, Sarah, Uldum, Søren, Van Honacker, Eveline, Veschetti, Enrico, Walker, Jimmy, Wallet, France, Wasserstrom, Lisa, Whapham, Catherine, Wybo, Ingrid, Zoued, Abdelrahim, Sewell, Max, Farley, Caitlin, Portal, Edward A.R., Lindsay, Diane, Ricci, Maria Luisa, Jarraud, Sophie, Scaturro, Maria, Descours, Ghislaine, Krøvel, Anne Vatland, Barton, Rachael, Boostom, Ian, Ure, Roisin, Kese, Darja, Gaia, Valeria, Golob, Matej, Paukner, Susanne, Ginevra, Christophe, Afshar, Baharak, Nadarajah, Sendurann, Echahdi, Fedoua, González-Rubio, Juana María, González-Camacho, Fernando, Mentasti, Massimo, Flountzi, Anastasia S., Petzold, Markus, Moran-Gilad, Jacob, Winchell, Jonas, Wooton, Mandy, Bernard, Kathryn, Jones, Lucy C., Chalker, Victoria J., and Spiller, Owen B.

Published
2025
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