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2. Natural and engineered mediators of desiccation tolerance stabilize Human Blood Clotting Factor VIII in a dry state

Author

Maxwell H. Packebush, Silvia Sanchez-Martinez, Sourav Biswas, Shraddha KC, Kenny H. Nguyen, John F. Ramirez, Vincent Nicholson, and Thomas C. Boothby

Subjects
Medicine, Science
Abstract

Abstract Biologics, pharmaceuticals containing or derived from living organisms, such as vaccines, antibodies, stem cells, blood, and blood products are a cornerstone of modern medicine. However, nearly all biologics have a major deficiency: they are inherently unstable, requiring storage under constant cold conditions. The so-called ‘cold-chain’, while effective, represents a serious economic and logistical hurdle for deploying biologics in remote, underdeveloped, or austere settings where access to cold-chain infrastructure ranging from refrigerators and freezers to stable electricity is limited. To address this issue, we explore the possibility of using anhydrobiosis, the ability of organisms such as tardigrades to enter a reversible state of suspended animation brought on by extreme drying, as a jumping off point in the development of dry storage technology that would allow biologics to be kept in a desiccated state under not only ambient but elevated temperatures. Here we examine the ability of different protein and sugar-based mediators of anhydrobiosis derived from tardigrades and other anhydrobiotic organisms to stabilize Human Blood Clotting Factor VIII under repeated dehydration/rehydration cycles, thermal stress, and long-term dry storage conditions. We find that while both protein and sugar-based protectants can stabilize the biologic pharmaceutical Human Blood Clotting Factor VIII under all these conditions, protein-based mediators offer more accessible avenues for engineering and thus tuning of protective function. Using classic protein engineering approaches, we fine tune the biophysical properties of a protein-based mediator of anhydrobiosis derived from a tardigrade, CAHS D. Modulating the ability of CAHS D to form hydrogels make the protein better or worse at providing protection to Human Blood Clotting Factor VIII under different conditions. This study demonstrates the effectiveness of tardigrade CAHS proteins and other mediators of desiccation tolerance at preserving the function of a biologic without the need for the cold-chain. In addition, our study demonstrates that engineering approaches can tune natural products to serve specific protective functions, such as coping with desiccation cycling versus thermal stress. Ultimately, these findings provide a proof of principle that our reliance on the cold-chain to stabilize life-saving pharmaceuticals can be broken using natural and engineered mediators of desiccation tolerance.

Published
2023
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3. Receptors expressions on peripheral lymphocytes and CD4+CD183+ as a diagnostics biomarker for rheumatoid arthritis: A case–control study in Ghana

Author

Samuel Asamoah Sakyi, Tonnies Abeku Buckman, Kwame Yeboah‐Mensah, Ebenezer Senu, Alfred Effah, Daniel Antwi‐Berko, Dzifa Dey, Maxwell H. Antwi, Joseph Yorke, Andy O. Boateng, Akwasi M. Addei, Muniru M. Tanko, and Richard Boateng

Subjects
CD4+CD183+, chemokine receptors, diagnostics biomarker, disease activity score, receptor expression, rheumatoid arthritis, Immunologic diseases. Allergy, RC581-607
Abstract

Abstract Background T cell receptors play important roles in the development and progression of rheumatoid arthritis (RA). Their involvement has been reported in inflammatory autoimmune diseases. However, their role in predicting RA is still under exploration. This study evaluated the expression of CD183 (CXCR3) receptors on T‐cells and other relevant biomarkers for detecting RA and determine their relationship with disease activity. Methods This unmatched case–control study included 48 newly diagnosed RA patients and 30 apparent healthy controls from the orthopedic units of Komfo Anokye Teaching Hospital (KATH), Kumasi and Korle‐Bu Teaching Hospital (KBTH), Accra, Ghana. Sociodemographic data was obtained, and blood samples were also collected and processed for flow cytometric analysis. Statistical analyses were done using SPSS version 26.0 and R programming language. p

Published
2023
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4. Enhanced Collisional Losses from a Magnetic Mirror Using the Lenard-Bernstein Collision Operator

Author

Rosen, Maxwell H., Sengupta, Wrick, Ochs, Ian, Diaz, Felix Parra, and Hammett, Gregory W.

Subjects
Physics - Plasma Physics
Abstract

Collisions play a crucial role in governing particle and energy transport in plasmas confined in a magnetic mirror trap. Modern gyrokinetic codes are used to model transport in magnetic mirrors, but some of these codes utilize approximate model collision operators. This study focuses on a Pastukhov-style method of images calculation of particle and energy confinement times using a Lenard-Bernstein model collision operator. Prior work on parallel particle and energy balances used a different Fokker-Planck plasma collision operator and the method needs to be extended in non-trivial ways to study the Lenard-Bernstein operator. To assess the effectiveness of our approach, we compare our results with a modern finite element solver. Our findings reveal that the particle confinement time scales like $a \exp(a^2)$ using the Lenard-Bernstein operator, in contrast to the more accurate scaling that the Coulomb collision operator would yield $a^2 \exp(a^2)$, where $a^2$ is approximately proportional to the ambipolar potential. We propose that codes modeling collisional losses in a magnetic mirrors utilizing the Lenard-Bernstein or Dougherty collision operator scale their collision frequency of any electrostatically confined species. This study illuminates the intricate role the collision operator plays in the Pastukhov-style method of images calculation of collisional confinement., Comment: 21 pages, 4 figures, 3 tables, submitted to journal of plasma physics

Published
2024

5. Visual and motor signatures of locomotion dynamically shape a population code for feature detection in Drosophila

Author

Maxwell H Turner, Avery Krieger, Michelle M Pang, and Thomas R Clandinin

Subjects
central visual pathways, suppression, spatial vision, Medicine, Science, Biology (General), QH301-705.5
Abstract

Natural vision is dynamic: as an animal moves, its visual input changes dramatically. How can the visual system reliably extract local features from an input dominated by self-generated signals? In Drosophila, diverse local visual features are represented by a group of projection neurons with distinct tuning properties. Here, we describe a connectome-based volumetric imaging strategy to measure visually evoked neural activity across this population. We show that local visual features are jointly represented across the population, and a shared gain factor improves trial-to-trial coding fidelity. A subset of these neurons, tuned to small objects, is modulated by two independent signals associated with self-movement, a motor-related signal, and a visual motion signal associated with rotation of the animal. These two inputs adjust the sensitivity of these feature detectors across the locomotor cycle, selectively reducing their gain during saccades and restoring it during intersaccadic intervals. This work reveals a strategy for reliable feature detection during locomotion.

Published
2022
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6. Adaptation in cone photoreceptors contributes to an unexpected insensitivity of primate On parasol retinal ganglion cells to spatial structure in natural images

Author

Zhou Yu, Maxwell H Turner, Jacob Baudin, and Fred Rieke

Subjects
visual processing, retina, natural images, neural coding, Medicine, Science, Biology (General), QH301-705.5
Abstract

Neural circuits are constructed from nonlinear building blocks, and not surprisingly overall circuit behavior is often strongly nonlinear. But neural circuits can also behave near linearly, and some circuits shift from linear to nonlinear behavior depending on stimulus conditions. Such control of nonlinear circuit behavior is fundamental to neural computation. Here, we study a surprising stimulus dependence of the responses of macaque On (but not Off) parasol retinal ganglion cells: these cells respond nonlinearly to spatial structure in some stimuli but near linearly to spatial structure in others, including natural inputs. We show that these differences in the linearity of the integration of spatial inputs can be explained by a shift in the balance of excitatory and inhibitory synaptic inputs that originates at least partially from adaptation in the cone photoreceptors. More generally, this highlights how subtle asymmetries in signaling – here in the cone signals – can qualitatively alter circuit computation.

Published
2022
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7. Accounting for contact network uncertainty in epidemic inferences

Author

Wang, Maxwell H. and Onnela, Jukka-Pekka

Subjects
Quantitative Biology - Populations and Evolution
Abstract

When modeling the dynamics of infectious disease, the incorporation of contact network information allows for the capture of the non-randomness and heterogeneity of realistic contact patterns. Oftentimes, it is assumed that the underlying contact pattern is known with perfect certainty. However, in realistic settings, the observed data often serves as an imperfect proxy of the actual contact patterns in the population. Furthermore, the epidemic in the real world are often not fully observed; event times such as infection and recovery times may be missing. In order to conduct accurate inferences on parameters of contagion spread, it is crucial to incorporate these sources of uncertainty. In this paper, we propose the use of Mixture Density Network compressed ABC (MDN-ABC) to learn informative summary statistics for the available data. This method will allow for Bayesian inference on the epidemic parameters of a contagious process, while accounting for imperfect observations on the epidemic and the contact network. We will demonstrate the use of this method on simulated epidemics and networks, and extend this framework to analyze the spread of Tattoo Skin Disease (TSD) among bottlenose dolphins in Shark Bay, Australia., Comment: 27 pages, 7 figures

Published
2024

8. Genetic Analysis of Methyl Anthranilate, Mesifurane, Linalool, and Other Flavor Compounds in Cultivated Strawberry (Fragaria × ananassa)

Author

Christopher R. Barbey, Maxwell H. Hogshead, Benjamin Harrison, Anne E. Schwartz, Sujeet Verma, Youngjae Oh, Seonghee Lee, Kevin M. Folta, and Vance M. Whitaker

Subjects
aromas, eQTL analysis, fruit volatiles, QTL analysis, terpenes, transcriptomics, Plant culture, SB1-1110
Abstract

The cultivated strawberry (Fragaria × ananassa) is an economically important fruit crop that is intensively bred for improved sensory qualities. The diversity of fruit flavors and aromas in strawberry results mainly from the interactions of sugars, acids, and volatile organic compounds (VOCs) that are derived from diverse biochemical pathways influenced by the expression of many genes. This study integrates multiomic analyses to identify QTL and candidate genes for multiple aroma compounds in a complex strawberry breeding population. Novel fruit volatile QTL was discovered for methyl anthranilate, methyl 2-hexenoate, methyl 2-methylbutyrate, mesifurane, and a shared QTL on Chr 3 was found for nine monoterpene and sesquiterpene compounds, including linalool, 3-carene, β-phellandrene, α-limonene, linalool oxide, nerolidol, α-caryophellene, α-farnesene, and β-farnesene. Fruit transcriptomes from a subset of 64 individuals were used to support candidate gene identification. For methyl esters including the grape-like methyl anthranilate, a novel ANTHANILIC ACID METHYL TRANSFERASE–like gene was identified. Two mesifurane QTL correspond with the known biosynthesis gene O-METHYL TRANSFERASE 1 and a novel FURANEOL GLUCOSYLTRANSFERASE. The shared terpene QTL contains multiple fruit-expressed terpenoid pathway-related genes including NEROLIDOL SYNTHASE 1 (FanNES1). The abundance of linalool and other monoterpenes is partially governed by a co-segregating expression-QTL (eQTL) for FanNES1 transcript variation, and there is additional evidence for quantitative effects from other terpenoid-pathway genes in this narrow genomic region. These QTLs present new opportunities in breeding for improved flavor in commercial strawberry.

Published
2021
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9. Flexible Bayesian Inference on Partially Observed Epidemics

Author

Wang, Maxwell H. and Onnela, Jukka-Pekka

Subjects
Quantitative Biology - Populations and Evolution
Abstract

Individual-based models of contagious processes are useful for predicting epidemic trajectories and informing intervention strategies. In such models, the incorporation of contact network information can capture the non-randomness and heterogeneity of realistic contact dynamics. In this paper, we consider Bayesian inference on the spreading parameters of an SIR contagion on a known, static network, where information regarding individual disease status is known only from a series of tests (positive or negative disease status). When the contagion model is complex or information such as infection and removal times is missing, the posterior distribution can be difficult to sample from. Previous work has considered the use of Approximate Bayesian Computation (ABC), which allows for simulation-based Bayesian inference on complex models. However, ABC methods usually require the user to select reasonable summary statistics. Here, we consider an inference scheme based on the Mixture Density Network compressed ABC (MDN-ABC), which minimizes the expected posterior entropy in order to learn informative summary statistics. This allows us to conduct Bayesian inference on the parameters of a partially observed contagious process while also circumventing the need for manual summary statistic selection. This methodology can be extended to incorporate additional simulation complexities, including behavioral change after positive tests or false test results., Comment: 27 pages, 7 figures

Published
2023

10. Optimizing Continuous‐Flow Biocatalysis with 3D‐Printing and Inline IR Monitoring

Author

Spano, Michael B, Pamidi, Arjun S, Liu, Maxwell H, Evans, Amanda C, and Weiss, Gregory A

Subjects
Chemical Engineering, Engineering, biocatalysis, biosynthesis, continuous-flow, 3D-Printing, FTIR, Inorganic Chemistry, Physical Chemistry (incl. Structural), Organic Chemistry, Chemical engineering
Abstract

Enzymatic biocatalysis typically generates less waste, uses less water, and minimizes energy consumption compared to traditional chemical methods. Efficient, cell-free biosynthesis relies on the reuse of its valuable biocatalysts. Immobilization of enzymes on solid supports, such as enzyme carrier resins (ECRs), offers a reliable and widely deployed approach to maximize enzyme turnover in cell-free biosynthesis. We focus on two major bottlenecks associated with optimizing cell-free biocatalysis. First, we apply our lab's 3D-printed labware to screen ECRs in 96-well mini-reactors to optimize enzyme immobilization conditions. Second, we introduce inline infrared spectroscopy to monitor bioreactor output and maximize enzyme productivity. Urease provides a model system for examining immobilization conditions and continuous assessment of biocatalyst performance. As required for the high substrate concentrations to improve process efficiency and minimize waste, urease was studied in unusually high concentrations of its substrate – molar concentrations of urea. The optimized reactor processed 3.24 L of 4.00 M urea at an average volumetric productivity of 13 g ⋅ L−1 ⋅ h−1 over 18 h and achieved an estimated productivity number of >17.4 kg urea processed per g of immobilized urease Type-IX. This workflow can be generalized to most biocatalytic processes and could accelerate adoption of cell-free biosynthesis for greater chemical sustainability.

Published
2024

11. Receptive field center-surround interactions mediate context-dependent spatial contrast encoding in the retina

Author

Maxwell H Turner, Gregory W Schwartz, and Fred Rieke

Subjects
nonhuman primate, natural scenes, receptive Field, retinal ganglion cell, Medicine, Science, Biology (General), QH301-705.5
Abstract

Antagonistic receptive field surrounds are a near-universal property of early sensory processing. A key assumption in many models for retinal ganglion cell encoding is that receptive field surrounds are added only to the fully formed center signal. But anatomical and functional observations indicate that surrounds are added before the summation of signals across receptive field subunits that creates the center. Here, we show that this receptive field architecture has an important consequence for spatial contrast encoding in the macaque monkey retina: the surround can control sensitivity to fine spatial structure by changing the way the center integrates visual information over space. The impact of the surround is particularly prominent when center and surround signals are correlated, as they are in natural stimuli. This effect of the surround differs substantially from classic center-surround models and raises the possibility that the surround plays unappreciated roles in shaping ganglion cell sensitivity to natural inputs.

Published
2018
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13. Towards continuum gyrokinetic study of high-field mirrors

Author

Francisquez, Manaure, Rosen, Maxwell H., Mandell, Noah R., Hakim, Ammar, Forest, Cary B., and Hammett, Gregory W.

Subjects
Physics - Plasma Physics
Abstract

High-temperature superconducting (HTS) magnetic mirrors under development exploit strong fields with high mirror ratio to compress loss cones and enhance confinement, and may offer cheaper, more compact fusion power plant candidates. This new class of devices could exhibit largely unexplored interchange and gradient-driven modes. Such instabilities, and methods to stabilize them, can be studied with gyrokinetics given the strong magnetization and prevalence of kinetic effects. Our focus here is to: a) determine if oft-used gyrokinetic models for open field lines produce the electron-confining (Pastukhov) electrostatic potential; b) examine and address challenges faced by gyrokinetic codes in studying HTS mirrors. We show that a one-dimensional limit of said models self-consistently develops a potential qualitatively reaching the analytical Pastukhov level. Additionally, we describe the computational challenges of studying high mirror ratios with open field line gyrokinetic solvers, and offer a force softening method to mitigate small time steps needed for time integration in colossal magnetic field gradients produced by HTS coils, providing a 19X speedup.

Published
2023

14. Natural TCRs targeting [KRAS.sup.G12V] display fine specificity and sensitivity to human solid tumors

Author

Bear, Adham S., Nadler, Rebecca B., O'Hara, Mark H., Stanton, Kelsey L., Xu, Chong, Saporito, Robert J., Rech, Andrew J., Baroja, Miren L., Blanchard, Tatiana, Elliott, Maxwell H., Ford, Michael J., Jones, Richard, Patel, Shivang, Brennan, Andrea, O'Neil, Zachary, Powell, Daniel J., Jr., Vonderheide, Robert H., Linette, Gerald P., and Carreno, Beatriz M.

Subjects
Oncology, Experimental, T cells -- Receptors, Gene mutations -- Research, Antigen receptors, T cell -- Health aspects, Cellular therapy -- Research, Cancer vaccines -- Research, Cancer -- Research, Oncogenes -- Health aspects
Abstract

BACKGROUND. Neoantigens derived from [KRAS.sup.MUT] have been described, but the fine antigen specificity of T cell responses directed against these epitopes is poorly understood. Here, we explore [KRAS.sup.MUT] immunogenicity and the properties of 4 T cell receptors (TCRs) specific for [KRAS.sup.G12V] restricted to the HLA-A3 superfamily of class I alleles. METHODS. A phase 1 clinical vaccine trial targeting [KRAS.sup.MUT] was conducted. TCRs targeting [KRAS.sup.G12V] restricted to HLA-A*03:01 or HLA-A*11:01 were isolated from vaccinated patients or healthy individuals. A comprehensive analysis of TCR antigen specificity, affinity, crossreactivity, and CD8 coreceptor dependence was performed. TCR lytic activity was evaluated, and target antigen density was determined by quantitative immunopeptidomics. RESULTS. Vaccination against [KRAS.sup.MUT] resulted in the priming of [CD8.sup.+] and [CD4.sup.+] T cell responses. [KRAS.sup.G12V] -specific natural (not affinity enhanced) TCRs exhibited exquisite specificity to mutated protein with no discernible reactivity against [KRAS.sup.WT]. TCR-recognition motifs were determined and used to identify and exclude crossreactivity to noncognate peptides derived from the human proteome. Both HLA-A*03:01 and HLA-A*11:01-restricted TCR-redirected [CD8.sup.+] T cells exhibited potent lytic activity against [KRAS.sup.G12V] cancers, while only HLA-A*11:01-restricted TCR-T [CD4.sup.+] T cells exhibited antitumor effector functions consistent with partial coreceptor dependence. All [KRAS.sup.G12V]-specific TCRs displayed high sensitivity for antigen as demonstrated by their ability to eliminate tumor cell lines expressing low levels of peptide/HLA (4.4 to 242) complexes per cell. CONCLUSION. This study identifies [KRAS.sup.G12V]-specific TCRs with high therapeutic potential for the development of TCR-T cell therapies. TRIAL REGISTRATION. ClinicalTrials.gov NCT03592888. FUNDING. AACR SU2C/Lustgarten Foundation, Parker Institute for Cancer Immunotherapy, and NIH., Introduction T cell recognition of cancer antigens represents the end effector mechanism of successful cancer immunotherapy (1). Advances in the areas of T cell biology, gene engineering, and antigen identification [...]

Published
2024
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15. Sexual dimorphism and allometry in the sphecophilous rove beetle Triacrus dilatus

Author

Maxwell H. Marlowe, Cheryl A. Murphy, and Stylianos Chatzimanolis

Subjects
Xanthopygina, Staphylinidae, Coleoptera, Sexual size dimorphism, Vespidae, Agelaia, Medicine, Biology (General), QH301-705.5
Abstract

The rove beetle Triacrus dilatus is found in the Atlantic forest of South America and lives in the refuse piles of the paper wasp Agelaia vicina. Adults of T. dilatus are among the largest rove beetles, frequently measuring over 3 cm, and exhibit remarkable variation in body size. To examine sexual dimorphism and allometric relationships we measured the length of the left mandible, ocular distance and elytra. We were interested in determining if there are quantifiable differences between sexes, if there are major and minor forms within each sex and if males exhibit mandibular allometry. For all variables, a t-test was run to determine if there were significant differences between the sexes. Linear regressions were run to examine if there were significant relationships between the different measurements. A heterogeneity of slopes test was used to determine if there were significant differences between males and females. Our results indicated that males had significantly larger mandibles and ocular distances than females, but the overall body length was not significantly different between the sexes. Unlike most insects, both sexes showed positive linear allometric relationships for mandible length and head size (as measured by the ocular distance). We found no evidence of major and minor forms in either sex.

Published
2015
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16. Leveraging Contact Network Information in Clustered Randomized Studies of Contagion Processes.

Author

Wang, Maxwell H, Staples, Patrick, Prague, Mélanie, Goyal, Ravi, DeGruttola, Victor, and Onnela, Jukka-Pekka

Subjects
Epidemiology, Statistics, Health Sciences, Mathematical Sciences, Clinical Trials and Supportive Activities, Clinical Research, Contagion, Network
Abstract

In a randomized study, leveraging covariates related to the outcome (e.g. disease status) may produce less variable estimates of the effect of exposure. For contagion processes operating on a contact network, transmission can only occur through ties that connect affected and unaffected individuals; the outcome of such a process is known to depend intimately on the structure of the network. In this paper, we investigate the use of contact network features as efficiency covariates in exposure effect estimation. Using augmented generalized estimating equations (GEE), we estimate how gains in efficiency depend on the network structure and spread of the contagious agent or behavior. We apply this approach to simulated randomized trials using a stochastic compartmental contagion model on a collection of model-based contact networks and compare the bias, power, and variance of the estimated exposure effects using an assortment of network covariate adjustment strategies. We also demonstrate the use of network-augmented GEEs on a clustered randomized trial evaluating the effects of wastewater monitoring on COVID-19 cases in residential buildings at the the University of California San Diego.

Published
2023

18. Rapid probing of biological surfaces with a sparse-matrix peptide library.

Author

Daniel K Yarbrough, Randal Eckert, Jian He, Elizabeth Hagerman, Fengxia Qi, Renate Lux, Ben Wu, Maxwell H Anderson, and Wenyuan Shi

Subjects
Medicine, Science
Abstract

Finding unique peptides to target specific biological surfaces is crucial to basic research and technology development, though methods based on biological arrays or large libraries limit the speed and ease with which these necessary compounds can be found. We reasoned that because biological surfaces, such as cell surfaces, mineralized tissues, and various extracellular matrices have unique molecular compositions, they present unique physicochemical signatures to the surrounding medium which could be probed by peptides with appropriately corresponding physicochemical properties. To test this hypothesis, a naïve pilot library of 36 peptides, varying in their hydrophobicity and charge, was arranged in a two-dimensional matrix and screened against various biological surfaces. While the number of peptides in the matrix library was very small, we obtained "hits" against all biological surfaces probed. Sequence refinement of the "hits" led to peptides with markedly higher specificity and binding activity against screened biological surfaces. Genetic studies revealed that peptide binding to bacteria was mediated, at least in some cases, by specific cell-surface molecules, while examination of human tooth sections showed that this method can be used to derive peptides with highly specific binding to human tissue.

Published
2011
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26. Leveraging Contact Network Information in Clustered Randomized Studies of Contagion Processes

Author

Wang, Maxwell H, Staples, Patrick, Prague, Mélanie, De Gruttola, Victor, and Onnela, Jukka-Pekka

Subjects
Statistics - Applications, 62M99, 91D30, 62-07
Abstract

In a randomized study, leveraging covariates related to the outcome (e.g. disease status) may produce less variable estimates of the effect of exposure. For contagion processes operating on a contact network, transmission can only occur through ties that connect affected and unaffected individuals; the outcome of such a process is known to depend intimately on the structure of the network. In this paper, we investigate the use of contact network features as efficiency covariates in exposure effect estimation. Using augmented generalized estimating equations (GEE), we estimate how gains in efficiency depend on the network structure and spread of the contagious agent or behavior. We apply this approach to simulated randomized trials using a stochastic compartmental contagion model on a collection of model-based contact networks and compare the bias, power, and variance of the estimated exposure effects using an assortment of network covariate adjustment strategies. We also demonstrate the use of network-augmented GEEs on a clustered randomized trial evaluating the effects of wastewater monitoring on COVID-19 cases in residential buildings at the the University of California San Diego., Comment: Substantial revision

Published
2016

27. Inclusive Practice and Comparative Social Impact of Disability Arts: A Qualitative and Abductive Approach

Author

Grabowski, S, Darcy, S, Maxwell, H, Onyx, J, Grabowski, S, Darcy, S, Maxwell, H, and Onyx, J

Abstract

This study comparatively examined two disability arts partnership projects’ stakeholder perspectives on inclusive practice and social impact. It did so through an innovative abductive research design to visualise the qualitative findings of a comparative social impact assessment of active citizenship. In this paper we examine the inclusive practices of the disability arts partnership projects and an inclusive methodological approach. The approach sought to visualise the social impact footprint, or scope, of disability arts projects on radar diagrams. In developing this approach, we were able to document the enabling outcomes for the lived experience of artists with disability. The research has implications for the inclusion of artists with disability as part of disability specific art projects, ensembles of artists with disability together with nondisabled artists, and the way that creative process outcomes have social impact on the stakeholders and communities where they are performed. For the organisations involved the project demonstrates the wider outcomes of the artistic practice through the social impact of their disability arts programs on their internal and external stakeholders. Further, for arts funders it provides a tool for comparative understanding of social impact across programs.

Published
2024

29. Precision Calibration via Artificial Light Sources Above the Atmophere

Author

Albert, Justin E., Fagin, Maxwell H., Brown, Yorke J., Stubbs, Christopher W., Kuklev, Nikita A., and Conley, Alexander J.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

Deeper understanding of the properties of dark energy via SNIa surveys, and to a large extent other methods as well, will require unprecedented photometric precision. Laboratory and solar photometry and radiometry regularly achieve precisions on the order of parts in ten thousand, but photometric calibration for non-solar astronomy presently remains stuck at the percent or greater level. We discuss our project to erase this discrepancy, and our steps toward achieving laboratory-level photometric precision for surveys late this decade. In particular, we show near-field observations of the balloon-borne light source we are presently testing, in addition to previous work with a calibrated laser source presently in low-Earth orbit. Our technique is additionally applicable to microwave astronomy. Observation of gravitational waves in the polarized CMB will similarly require unprecedented polarimetric and radiometric precision, and we briefly discuss our plans for a calibrated microwave source above the atmosphere as well., Comment: Proceedings for the Calibration and Standardization of Large Surveys and Missions in Astronomy and Astrophysics conference (Fermilab, April 16-19, 2012)

Published
2012

32. Flexible Bayesian inference on partially observed epidemics.

Author

Wang, Maxwell H and Onnela, Jukka-Pekka

Subjects
BAYESIAN field theory, EPIDEMICS, INFORMATION networks
Abstract

Individual-based models of contagious processes are useful for predicting epidemic trajectories and informing intervention strategies. In such models, the incorporation of contact network information can capture the non-randomness and heterogeneity of realistic contact dynamics. In this article, we consider Bayesian inference on the spreading parameters of an SIR contagion on a known, static network, where information regarding individual disease status is known only from a series of tests (positive or negative disease status). When the contagion model is complex or information such as infection and removal times is missing, the posterior distribution can be difficult to sample from. Previous work has considered the use of Approximate Bayesian Computation (ABC), which allows for simulation-based Bayesian inference on complex models. However, ABC methods usually require the user to select reasonable summary statistics. Here, we consider an inference scheme based on the Mixture Density Network compressed ABC, which minimizes the expected posterior entropy in order to learn informative summary statistics. This allows us to conduct Bayesian inference on the parameters of a partially observed contagious process while also circumventing the need for manual summary statistic selection. This methodology can be extended to incorporate additional simulation complexities, including behavioural change after positive tests or false test results. [ABSTRACT FROM AUTHOR]

Published
2024
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33. Observing Similarities and Differences in the Properties of Isostructural Niobium(V)/Tantalum(V) Coordination Compounds with Strong Pi-Donor Ligands

Author

Furigay, Maxwell H., primary, Chaudhuri, Subhajyoti, additional, Li, Chenshuai, additional, Zhou, Jiawang, additional, Pandey, Pragati, additional, Higgins, Robert F., additional, Gupta, Himanshu, additional, Carroll, Patrick J., additional, Gau, Michael R., additional, Anna, Jessica M., additional, Schatz, George C., additional, and Schelter, Eric J., additional

Published
2023
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36. Development and evaluation of a safe and effective sugar‐free herbal lollipop that kills cavity‐causing bacteria

Author

Hu, Chu‐hong, He, Jian, Eckert, Randal, Wu, Xiao‐yang, Li, Li‐na, Tian, Yan, Lux, Renate, Shuffer, Justin A, Gelman, Faina, Mentes, Janet, Spackman, Sue, Bauer, Janet, Anderson, Maxwell H, and Shi, Wen‐yuan

Subjects
Biomedical and Clinical Sciences, Dentistry, Clinical Research, Prevention, Nutrition, Complementary and Integrative Health, Dental/Oral and Craniofacial Disease, Infectious Diseases, Biotechnology, Oral and gastrointestinal, Infection, Aged, Animals, Anti-Bacterial Agents, Candy, Child, Dental Caries, Glycyrrhiza, Humans, Jurkat Cells, Lacticaseibacillus casei, Mice, Microbial Sensitivity Tests, Mutagenicity Tests, Phytotherapy, Pilot Projects, Plant Extracts, Plant Roots, Pterocarpans, Safety, Saliva, Streptococcus mutans, Streptococcus sobrinus, Sweetening Agents, antimicrobial therapy, licorice, Medical Biotechnology, Biomedical engineering
Abstract

Dental caries (tooth decay) is caused by a specific group of cariogenic bacteria, like Streptococcus mutans, which convert dietary sugars into acids that dissolve the mineral in tooth structure. Killing cariogenic bacteria is an effective way to control or prevent tooth decay. In a previous study, we discovered a novel compound (Glycyrrhizol A), from the extraction of licorice roots, with strong antimicrobial activity against cariogenic bacteria. In the current study, we developed a method to produce these specific herbal extracts in large quantities, and then used these extracts to develop a sugar-free lollipop that effectively kills cariogenic bacteria like Streptococcus mutans. Further studies showed that these sugar-free lollipops are safe and their antimicrobial activity is stable. Two pilot human studies indicate that a brief application of these lollipops (twice a day for ten days) led to a marked reduction of cariogenic bacteria in oral cavity among most human subjects tested. This herbal lollipop could be a novel tool to promote oral health through functional foods.

Published
2011

37. Rapid probing of biological surfaces with a sparse-matrix peptide library.

Author

Yarbrough, Daniel K, Eckert, Randal, He, Jian, Hagerman, Elizabeth, Qi, Fengxia, Lux, Renate, Wu, Ben, Anderson, Maxwell H, and Shi, Wenyuan

Subjects
CHO Cells, Cell Membrane, Tooth, Dental Enamel, Animals, Humans, Cricetulus, Escherichia coli, Staphylococcus aureus, Myxococcus xanthus, Candida albicans, Peptides, Peptide Library, Species Specificity, Binding, Competitive, Amino Acid Sequence, Protein Binding, Surface Properties, Cricetinae, Binding, Competitive, General Science & Technology
Abstract

Finding unique peptides to target specific biological surfaces is crucial to basic research and technology development, though methods based on biological arrays or large libraries limit the speed and ease with which these necessary compounds can be found. We reasoned that because biological surfaces, such as cell surfaces, mineralized tissues, and various extracellular matrices have unique molecular compositions, they present unique physicochemical signatures to the surrounding medium which could be probed by peptides with appropriately corresponding physicochemical properties. To test this hypothesis, a naïve pilot library of 36 peptides, varying in their hydrophobicity and charge, was arranged in a two-dimensional matrix and screened against various biological surfaces. While the number of peptides in the matrix library was very small, we obtained "hits" against all biological surfaces probed. Sequence refinement of the "hits" led to peptides with markedly higher specificity and binding activity against screened biological surfaces. Genetic studies revealed that peptide binding to bacteria was mediated, at least in some cases, by specific cell-surface molecules, while examination of human tooth sections showed that this method can be used to derive peptides with highly specific binding to human tissue.

Published
2011

38. Receptors expressions on peripheral lymphocytes and CD4+CD183+ as a diagnostics biomarker for rheumatoid arthritis: A case–control study in Ghana

Author

Sakyi, Samuel Asamoah, primary, Buckman, Tonnies Abeku, additional, Yeboah‐Mensah, Kwame, additional, Senu, Ebenezer, additional, Effah, Alfred, additional, Antwi‐Berko, Daniel, additional, Dey, Dzifa, additional, Antwi, Maxwell H., additional, Yorke, Joseph, additional, Boateng, Andy O., additional, Addei, Akwasi M., additional, Tanko, Muniru M., additional, and Boateng, Richard, additional

Published
2023
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40. Enhanced performance in fusion plasmas through turbulence suppression by megaelectronvolt ions

Author

Mazzi, S., Garcia, J., Zarzoso, D., Kazakov, Y., Ongena, J., Dreval, M., Nocente, M., Stancar, Z., Szepesi, G., Eriksson, J., Sahlberg, A., Benkadda, S., Abid, N., Abraham, K., Abreu, P., Adabonyan, O., Adrich, P., Afanasev, V., Afzal, M., Ahlgren, T., Aho-Mantila, L., Aiba, N., Airila, M., Akhtar, M., Albanese, R., Alderson-Martin, M., Alegre, D., Aleiferis, S., Aleksa, A., Alekseev, A., Alessi, E., Aleynikov, P., Algualcil, J., Ali, M., Allinson, M., Alper, B., Alves, E., Ambrosino, G., Ambrosino, R., Amosov, V., Andersson Sunden, E., Andrew, P., Angelini, B., Angioni, C., Antoniou, I., Appel, L., Appelbee, C., Aria, S., Ariola, M., Artaserse, G., Arter, W., Artigues, V., Asakura, N., Ash, A., Ashikawa, N., Aslanyan, V., Astrain, M., Asztalos, O., Auld, D., Auriemma, F., Austin, Y., Avotina, L., Aymerich, E., Baciero, A., Bairaktaris, F., Balbin, J., Balbinot, L., Balboa, I., Balden, M., Balshaw, C., Balshaw, N., Bandaru, V., Banks, J., Baranov, Y., Barcellona, C., Barnard, A., Barnard, M., Barnsley, R., Barth, A., Baruzzo, M., Barwell, S., Bassan, M., Batista, A., Batistoni, P., Baumane, L., Bauvir, B., Baylor, L., Beaumont, P., Beckett, D., Begolli, A., Beidler, M., Bekris, N., Beldishevski, M., Belli, E., Belli, F., Belonohy, E., Ben Yaala, M., Benayas, J., Bentley, J., Bergsaker, H., Bernardo, J., Bernert, M., Berry, M., Bertalot, L., Betar, H., Beurskens, M., Bickerton, S., Bieg, B., Bielecki, J., Bierwage, A., Biewer, T., Bilato, R., Bílkova, P., Birkenmeier, G., Bishop, H., Bizarro, J., Blackburn, J., Blanchard, P., Blatchford, P., Bobkov, V., Boboc, A., Bohm, P., Bohm, T., Bolshakova, I., Bolzonella, T., Bonanomi, N., Bonfiglio, D., Bonnin, X., Bonofiglo, P., Boocock, S., Booth, A., Booth, J., Borba, D., Borodin, D., Borodkina, I., Boulbe, C., Bourdelle, C., Bowden, M., Boyd, K., Bozicevic Mihalic, I., Bradnam, S., Braic, V., Brandt, L., Bravanec, R., Breizman, B., Brett, A., Brezinsek, S., Brix, M., Bromley, K., Brown, B., Brunetti, D., Buckingham, R., Buckley, M., Budny, R., Buermans, J., Bufferand, H., Buratti, P., Burgess, A., Buscarino, A., Busse, A., Butcher, D., Cal, E., Calabro, G., Calacci, L., Calado, R., Camenen, Y., Canal, G., Cannas, B., Cappelli, M., Carcangiu, S., Card, P., Cardinali, A., Carman, P., Carnevale, D., Carr, M., Carralero, D., Carraro, L., Carvalho, I., Carvalho, P., Casiraghi, I., Casson, F., Castaldo, C., Catalan, J., Catarino, N., Causa, F., Cavedon, M., Cecconello, M., Challis, C., Chamberlain, B., Chang, C., Chankin, A., Chapman, B., Chernyshova, M., Chiariello, A., Chmielewski, P., Chomiczewska, A., Chone, L., Ciraolo, G., Ciric, D., Citrin, J., Ciupinski, t., Clark, M., Clarkson, R., Clements, C., Cleverly, M., Coad, J., Coates, P., Cobalt, A., Coccorese, V., Coelho, R., Coenen, J., Coffey, I., Colangeli, A., Colas, L., Collins, C., Collins, J., Collins, S., Conka, D., Conroy, S., Conway, B., Conway, N., Coombs, D., Cooper, P., Cooper, S., Corradino, C., Corrigan, G., Coster, D., Cox, P., Craciunescu, T., Cramp, S., Crapper, C., Craven, D., Craven, R., Crialesi Esposito, M., Croci, G., Croft, D., Croitoru, A., Crombe, K., Cronin, T., Cruz, N., Crystal, C., Cseh, G., Cufar, A., Cullen, A., Curuia, M., Czarski, T., Dabirikhah, H., Dal Molin, A., Dale, E., Dalgliesh, P., Dalley, S., Dankowski, J., David, P., Davies, A., Davies, S., Davis, G., Dawson, K., Dawson, S., Day, I., De Bock, M., De Temmerman, G., De Tommasi, G., Deakin, K., Deane, J., Dejarnac, R., Del Sarto, D., Delabie, E., Del-Castillo-Negrete, D., Dempsey, A., Dendy, R., Devynck, P., Di Siena, A., Di Troia, C., Dickson, T., Dinca, P., Dittmar, T., Dobrashian, J., Doerner, R., Donne, A., Dorling, S., Dormido-Canto, S., Douai, D., Dowson, S., Doyle, R., Drewelow, P., Drews, P., Drummond, G., Duckworth, P., Dudding, H., Dumont, R., Dumortier, P., Dunai, D., Dunatov, T., Dunne, M., Duran, I., Durodie, F., Dux, R., Dvornova, A., Eastham, R., Edwards, J., Eich, T., Eichorn, A., Eidietis, N., Eksaeva, A., Haroun, H., Ellwood, G., Elsmore, C., Embreus, O., Emery, S., Ericsson, G., Eriksson, B., Eriksson, F., Eriksson, L., Ertmer, S., Esquembri, S., Esquisabel, A., Estrada, T., Evans, G., Evans, S., Fable, E., Fagan, D., Faitsch, M., Falessi, M., Fanni, A., Farahani, A., Farquhar, I., Fasoli, A., Faugeras, B., Fazinie, S., Felici, F., Felton, R., Fernandes, A., Fernandes, H., Ferrand, J., Ferreira, D., Ferreira, J., Ferro, G., Fessey, J., Ficker, O., Field, A., Figueiredo, A., Figueiredo, J., Fil, A., Fil, N., Finburg, P., Fiorucci, D., Fischer, U., Fishpool, G., Fittill, L., Fitzgerald, M., Flammini, D., Flanagan, J., Flinders, K., Foley, S., Fonnesu, N., Fontana, M., Fontdecaba, J., Forbes, S., Formisano, A., Fornal, T., Fortuna, L., Fortuna-Zalesna, E., Fortune, M., Fowler, C., Fransson, E., Frassinetti, L., Freisinger, M., Fresa, R., Fridstrom, R., Frigione, D., Fülop, T., Furseman, M., Fusco, V., Futatani, S., Gadariya, D., Gal, K., Galassi, D., Gafezka, K., Galeani, S., Gallart, D., Galvao, R., Gao, Y., Garcia-Munoz, M., Gardener, M., Garzotti, L., Gaspar, J., Gatto, R., Gaudio, P., Gear, D., Gebhart, T., Gee, S., Gelfusa, M., George, R., Gerasimov, S., Gervasini, G., Gethins, M., Ghani, Z., Gherendi, M., Ghezzi, F., Giacalone, J., Giacomelli, L., Giacometti, G., Gibson, C., Gibson, K., Gil, L., Gillgren, A., Gin, D., Giovannozzi, E., Giroud, C., Glen, R., Gloggler, S., Goff, J., Gohil, P., Goloborodko, V., Gomes, R., Goncalves, B., Goniche, M., Goodyear, A., Gore, S., Gorini, G., Görler, T., Gotts, N., Goulding, R., Gow, E., Graham, B., Graves, J., Greuner, H., Grierson, B., Griffiths, J., Griph, S., Grist, D., Gromelski, W., Groth, M., Grove, R., Gruca, M., Guard, D., Gupta, N., Gurl, C., Gusarov, A., Hackett, L., Hacquin, S., Hager, R., Hagg, L., Hakola, A., Halitovs, M., Hall, S., Hallworth-Cook, S., Ham, C., Hamaguchi, D., Hamed, M., Hamlyn-Harris, C., Hammond, K., Harford, E., Harrison, J., Harting, D., Hatano, Y., Hatch, D., Haupt, T., Hawes, J., Hawkes, N., Hawkins, J., Hayashi, T., Hazael, S., Hazel, S., Heesterman, P., Heidbrink, B., Helou, W., Hemming, O., Henderson, S., Henriques, R., Hepple, D., Herfindal, J., Hermon, G., Hill, J., Hillesheim, J., Hizanidis, K., Hjalmarsson, A., Ho, A., Hobirk, J., Hoenen, O., Hogben, C., Hollingsworth, A., Hollis, S., Hollmann, E., Hoelzl, M., Homan, B., Hook, M., Hopley, D., Horacek, J., Horsley, D., Horsten, N., Horton, A., Horton, L., Horvath, L., Hotchin, S., Howell, R., Hu, Z., Huber, A., Huber, V., Huddleston, T., Huijsmans, G., Huynh, P., Hynes, A., Iliasova, M., lmrie, D., lmrísek, M., lngleby, J., Innocente, P., Insulander Björk, K., Isernia, N., lvanova-Stanik, I., lvings, E., Jablonski, S., Jachmich, S., Jackson, T., Jacquet, P., Järleblad, H., Jaulmes, F., Jenaro Rodriguez, J., Jepu, I., Joffrin, E., Johnson, R., Johnson, T., Johnston, J., Jones, C., Jones, G., Jones, L., Jones, N., Jones, T., Joyce, A., Juarez, R., Juvonen, M., Kalnina, P., Kaltiaisenaho, T., Kaniewski, J., Kantor, A., Kappatou, A., Karhunen, J., Karkinsky, D., Kashchuk, Y., Kaufman, M., Kaveney, G., Kazantzidis, V., Keeling, D., Kelly, R., Kempenaars, M., Kennedy, C., Kennedy, D., Kent, J., Khan, K., Khilkevich, E., Kiefer, C., Kilpeläinen, J., Kim, C., Kim, H., Kim, S., King, D., King, R., Kinna, D., Kiptily, V., Kirjasuo, A., Kirov, K., Kirschner, A., kiviniemi, T., Kizane, G., Klas, M., Klepper, C., Klix, A., Kneale, G., Knight, M., Knight, P., Knights, R., Knipe, S., Knolker, M., Knott, S., Kocan, M., Kochl, F., Kodeli, I., Kolesnichenko, Y., Kominis, Y., Kong, M., Korovin, V., Kos, B., Kos, D., Koslowski, H., Kotschenreuther, M., Koubiti, M., Kowalska-Strzeciwilk, E., Koziol, K., Krasilnikov, A., Krasilnikov, V., Kresina, M., Krieger, K., Krishnan, N., Krivska, A., Kruezi, U., Ksiezek, I., Kukushkin, A., Kumpulainen, H., Kurki-Suonio, T., Kurotaki, H., Kwak, S., Kwon, O., Laguardia, L., Lagzdina, E., Lahtinen, A., Laing, A., Lam, N., Lambertz, H., Lane, B., Lane, C., Lascas Neto, E., Laszyriska, E., 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moléculaires (PIIM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche sur la Fusion par confinement Magnétique (IRFM), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Swiss Plasma Center (SPC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratory for Plasma Physics (LPP), Ecole Royale Militaire / Koninklijke Militaire School (ERM KMS), Kharkiv Institute of Physics and Technology (Ukraine), V.N. Karazin Kharkiv National University (KhNU), Dipartimento di Fisica (Milano), Università degli Studi di Milano = University of Milan (UNIMI), Consiglio Nazionale delle Ricerche [Milano] (CNR), Jozef Stefan Institute [Ljubljana] (IJS), Culham Centre for Fusion Energy (CCFE), Department of Physics and Astronomy [Uppsala], Uppsala University, This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014–2018 and 2019–2020 under Grant agreement No 633053., Mazzi, S, Garcia, J, Zarzoso, D, Kazakov, Y, Ongena, J, Dreval, M, Nocente, M, Stancar, Z, Szepesi, G, Eriksson, J, Sahlberg, A, Benkadda, S, Abid, N, Abraham, K, Abreu, P, Adabonyan, O, Adrich, P, Afzal, M, Ahlgren, T, Aho-Mantila, L, Aiba, N, Airila, M, Akhtar, M, Albanese, R, Alderson-Martin, M, Alegre, D, Aleiferis, S, Aleksa, A, Alessi, E, Aleynikov, P, Algualcil, J, Ali, M, Allinson, M, Alper, B, Alves, E, Ambrosino, G, Ambrosino, R, 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K., Zoulias, I., Zwingmann, W., Zychor, I., JET Contributors, Science and Technology of Nuclear Fusion, EIRES Eng. for Sustainable Energy Systems, Magneto-Hydro-Dynamic Stability of Fusion Plasmas, Applied Physics and Science Education, Kazakov, Yo, VTT Technical Research Centre of Finland, Culham Science Centre, Princeton Plasma Physics Laboratory, Department of Applied Physics, European Commission, Forschungszentrum Jülich, Universidade Lisboa, Fusion and Plasma Physics, University of Milan - Bicocca, Aalto University, General Atomics, ITER, University of Toyama, CEA, Oak Ridge National Laboratory, Technical University of Madrid, Swiss Federal Institute of Technology Lausanne, Dutch Institute for Fundamental Energy Research, Royal Military Academy, Seoul National University, Chalmers University of Technology, Max Planck Institute for Plasma Physics, KTH Royal Institute of Technology, and Aalto-yliopisto

Subjects
[PHYS]Physics [physics], Settore FIS/01, Settore ING-IND/18 - Fisica dei Reattori Nucleari, General Physics and Astronomy, simulation, magnetically confined plasma, nuclear fusion, tokamaks, turbulence suppression, Plasma, [PHYS.PHYS.PHYS-PLASM-PH]Physics [physics]/Physics [physics]/Plasma Physics [physics.plasm-ph], confinement, transport, Alpha particles, Fusion reactors, Turbulence, physics
Abstract

openaire: EC/H2020/633053/EU//EUROfusion Funding Information: We thank M. Baruzzo and F. Nave for the preparation and execution of JET experiments discussed in this paper; E. de la Luna for support in detailing the experimental diagnostics of JET; A. Ho for assistance in processing the experimental data; T. Görler for providing essential advice to ensure the correct numerical setup for the GENE modelling reported in this paper; Y. Camenen, X. Garbet and A. Bierwage for fruitful discussions about the gyrokinetic analyses; G. Giruzzi for valuable suggestions on the article strategy. The simulations were performed on the IRENE Joliot-Curie HPC system, in the framework of the PRACE projects IONFAST and AFIETC, led by J. Garcia, and on the CINECA Marconi HPC within the project GENE4EP, led by D. Zarzoso. This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 and 2019-2020 under grant agreement no. 633053. The views and opinions express herein do not necessarily reflect those of the European Commission. Part of the work by Ye. O. Kazakov and J.Ongena was also carried out in the framework of projects done for the ITER Scientist Fellow Network (ISFN). Funding Information: We thank M. Baruzzo and F. Nave for the preparation and execution of JET experiments discussed in this paper; E. de la Luna for support in detailing the experimental diagnostics of JET; A. Ho for assistance in processing the experimental data; T. Görler for providing essential advice to ensure the correct numerical setup for the GENE modelling reported in this paper; Y. Camenen, X. Garbet and A. Bierwage for fruitful discussions about the gyrokinetic analyses; G. Giruzzi for valuable suggestions on the article strategy. The simulations were performed on the IRENE Joliot-Curie HPC system, in the framework of the PRACE projects IONFAST and AFIETC, led by J. Garcia, and on the CINECA Marconi HPC within the project GENE4EP, led by D. Zarzoso. This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 and 2019-2020 under grant agreement no. 633053. The views and opinions express herein do not necessarily reflect those of the European Commission. Part of the work by Ye. O. Kazakov and J.Ongena was also carried out in the framework of projects done for the ITER Scientist Fellow Network (ISFN). Publisher Copyright: © 2022, The Author(s), under exclusive licence to Springer Nature Limited. Alpha particles with energies on the order of megaelectronvolts will be the main source of plasma heating in future magnetic confinement fusion reactors. Instead of heating fuel ions, most of the energy of alpha particles is transferred to electrons in the plasma. Furthermore, alpha particles can also excite Alfvénic instabilities, which were previously considered to be detrimental to the performance of the fusion device. Here we report improved thermal ion confinement in the presence of megaelectronvolts ions and strong fast ion-driven Alfvénic instabilities in recent experiments on the Joint European Torus. Detailed transport analysis of these experiments reveals turbulence suppression through a complex multi-scale mechanism that generates large-scale zonal flows. This holds promise for more economical operation of fusion reactors with dominant alpha particle heating and ultimately cheaper fusion electricity.

Published
2022
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41. Air Traffic Simulation Technology for High-Population Metroplexes

Author

Cannon, Kimberly A, Glaab, Patricia C, Wieland, Frederick P, Briggs, Maxwell H, and Quinn, Cheryl M

Subjects
Technology Utilization And Surface Transportation, Air Transportation And Safety
Abstract

IAI's MetroSim optimizes air traffic by simulating departures, arrivals, and activity in air and onthe ground in busy metroplexes, where flights impact each other at a single airport and among traffic at nearby airports. MetroSim evolved out of several NASA SBIR/STTR Awards and has since been used by NASA for flight simulation analysis. MetroSim has also been integrated with FAA and DOT technology, has produced studies for the Port Authority of New York and New Jersey, and is under development to support the Navy

Published
2020

42. Disruption prediction with artificial intelligence techniques in tokamak plasmas

Author

Vega, J, Murari, A, Dormido-Canto, S, Ratta, G, Gelfusa, M, Mailloux, J, Abid, N, Abraham, K, Abreu, P, Adabonyan, O, Adrich, P, Afanasev, V, Afzal, M, Ahlgren, T, Aho-Mantila, L, Aiba, N, Airila, M, Akhtar, M, Albanese, R, Alderson-Martin, M, Alegre, D, Aleiferis, S, Aleksa, A, Alekseev, A, Alessi, E, Aleynikov, P, Algualcil, J, Ali, M, Allinson, M, Alper, B, Alves, E, Ambrosino, G, Ambrosino, R, Amosov, V, Sunden, E, Andrew, P, Angelini, B, Angioni, C, Antoniou, I, Appel, L, Appelbee, C, Aria, S, Ariola, M, Artaserse, G, Arter, W, Artigues, V, Asakura, N, Ash, A, Ashikawa, N, Aslanyan, V, Astrain, M, Asztalos, O, Auld, D, Auriemma, F, Austin, Y, Avotina, L, Aymerich, E, Baciero, A, Bairaktaris, F, Balbin, J, Balbinot, L, Balboa, I, Balden, M, Balshaw, C, Balshaw, N, Bandaru, V, Banks, J, Baranov, Y, Barcellona, C, Barnard, A, Barnard, M, Barnsley, R, Barth, A, Baruzzo, M, Barwell, S, Bassan, M, Batista, A, Batistoni, P, Baumane, L, Bauvir, B, Baylor, L, Beaumont, P, Beckett, D, Begolli, A, Beidler, M, Bekris, N, Beldishevski, M, Belli, E, Belli, F, Belonohy, E, Yaala, M, Benayas, J, Bentley, J, Bergsaker, H, Bernardo, J, Bernert, M, Berry, M, Bertalot, L, Betar, H, Beurskens, M, Bickerton, S, Bieg, B, Bielecki, J, Bierwage, A, Biewer, T, Bilato, R, Bilkova, P, Birkenmeier, G, Bishop, H, Bizarro, J, Blackburn, J, Blanchard, P, Blatchford, P, Bobkov, V, Boboc, A, Bohm, P, Bohm, T, Bolshakova, I, Bolzonella, T, Bonanomi, N, Bonfiglio, D, Bonnin, X, Bonofiglo, P, Boocock, S, Booth, A, Booth, J, Borba, D, Borodin, D, Borodkina, I, Boulbe, C, Bourdelle, C, Bowden, M, Boyd, K, Bozicevic Mihalic, I, Bradnam, S, Braic, V, Brandt, L, Bravanec, R, Breizman, B, Brett, A, Brezinsek, S, Brix, M, Bromley, K, Brown, B, Brunetti, D, Buckingham, R, Buckley, M, Budny, R, Buermans, J, Bufferand, H, Buratti, P, Burgess, A, Buscarino, A, Busse, A, Butcher, D, de la Cal, E, Calabro, G, Calacci, L, Calado, R, Camenen, Y, Canal, G, Cannas, B, Cappelli, M, Carcangiu, S, Card, P, Cardinali, A, Carman, P, Carnevale, D, Carr, M, Carralero, D, Carraro, L, Carvalho, I, Carvalho, P, Casiraghi, I, Casson, F, Castaldo, C, Catalan, J, Catarino, N, Causa, F, Cavedon, M, Cecconello, M, Challis, C, Chamberlain, B, Chang, C, Chankin, A, Chapman, B, Chernyshova, M, Chiariello, A, Chmielewski, P, Chomiczewska, A, Chone, L, Ciraolo, G, Ciric, D, Citrin, J, Ciupinski, T, Clark, M, Clarkson, R, Clements, C, Cleverly, M, Coad, J, Coates, P, Cobalt, A, Coccorese, V, Coelho, R, Coenen, J, Coffey, I, Colangeli, A, Colas, L, Collins, C, Collins, J, Collins, S, Conka, D, Conroy, S, Conway, B, Conway, N, Coombs, D, Cooper, P, Cooper, S, Corradino, C, Corrigan, G, Coster, D, Cox, P, Craciunescu, T, Cramp, S, Crapper, C, Craven, D, Craven, R, Esposito, M, Croci, G, Croft, D, Croitoru, A, Crombe, K, Cronin, T, Cruz, N, Crystal, C, Cseh, G, Cufar, A, Cullen, A, Curuia, M, Czarski, T, Dabirikhah, H, Dal Molin, A, Dale, E, Dalgliesh, P, Dalley, S, Dankowski, J, David, P, Davies, A, Davies, S, Davis, G, Dawson, K, Dawson, S, Day, I, De Bock, M, De Temmerman, G, De Tommasi, G, Deakin, K, Deane, J, Dejarnac, R, Del Sarto, D, Delabie, E, Del-Castillo-Negrete, D, Dempsey, A, Dendy, R, Devynck, P, Di Siena, A, Di Troia, C, Dickson, T, Dinca, P, Dittmar, T, Dobrashian, J, Doerner, R, Donne, A, Dorling, S, Douai, D, Dowson, S, Doyle, R, Dreval, M, Drewelow, P, Drews, P, Drummond, G, Duckworth, P, Dudding, H, Dumont, R, Dumortier, P, Dunai, D, Dunatov, T, Dunne, M, Duran, I, Durodie, F, Dux, R, Dvornova, A, Eastham, R, Edwards, J, Eich, T, Eichorn, A, Eidietis, N, Eksaeva, A, El Haroun, H, Ellwood, G, Elsmore, C, Embreus, O, Emery, S, Ericsson, G, Eriksson, B, Eriksson, F, Eriksson, J, Eriksson, L, Ertmer, S, Esquembri, S, Esquisabel, A, Estrada, T, Evans, G, Evans, S, Fable, E, Fagan, D, Faitsch, M, Falessi, M, Fanni, A, Farahani, A, Farquhar, I, Fasoli, A, Faugeras, B, Fazinie, S, Felici, F, Felton, R, Fernandes, A, Fernandes, H, Ferrand, J, Ferreira, D, Ferreira, J, Ferro, G, Fessey, J, Ficker, O, Field, A, Figueiredo, A, Figueiredo, J, Fil, A, Fil, N, Finburg, P, Fiorucci, D, Fischer, U, Fishpool, G, Fittill, L, Fitzgerald, M, Flammini, D, Flanagan, J, Flinders, K, Foley, S, Fonnesu, N, Fontana, M, Fontdecaba, J, Forbes, S, Formisano, A, Fornal, T, Fortuna, L, Fortuna-Zalesna, E, Fortune, M, Fowler, C, Fransson, E, Frassinetti, L, Freisinger, M, Fresa, R, Fridstrom, R, Frigione, D, Fulop, T, Furseman, M, Fusco, V, Futatani, S, Gadariya, D, Gal, K, Galassi, D, Gafezka, K, Galeani, S, Gallart, D, Galvao, R, Gao, Y, Garcia, J, Garcia-Munoz, M, Gardener, M, Garzotti, L, Gaspar, J, Gatto, R, Gaudio, P, Gear, D, Gebhart, T, Gee, S, George, R, Gerasimov, S, Gervasini, G, Gethins, M, Ghani, Z, Gherendi, M, Ghezzi, F, Giacalone, J, Giacomelli, L, Giacometti, G, Gibson, C, Gibson, K, Gil, L, Gillgren, A, Gin, D, Giovannozzi, E, Giroud, C, Glen, R, Gloggler, S, Goff, J, Gohil, P, Goloborodko, V, Gomes, R, Goncalves, B, Goniche, M, Goodyear, A, Gore, S, Gorini, G, Gorler, T, Gotts, N, Goulding, R, Gow, E, Graham, B, Graves, J, Greuner, H, Grierson, B, Griffiths, J, Griph, S, Grist, D, Gromelski, W, Groth, M, Grove, R, Gruca, M, Guard, D, Gupta, N, Gurl, C, Gusarov, A, Hackett, L, Hacquin, S, Hager, R, Hagg, L, Hakola, A, Halitovs, M, Hall, S, Hallworth-Cook, S, Ham, C, Hamaguchi, D, Hamed, M, Hamlyn-Harris, C, Hammond, K, Harford, E, Harrison, J, Harting, D, Hatano, Y, Hatch, D, Haupt, T, Hawes, J, Hawkes, N, Hawkins, J, Hayashi, T, Hazael, S, Hazel, S, Heesterman, P, Heidbrink, B, Helou, W, Hemming, O, Henderson, S, Henriques, R, Hepple, D, Herfindal, J, Hermon, G, Hill, J, Hillesheim, J, Hizanidis, K, Hjalmarsson, A, Ho, A, Hobirk, J, Hoenen, O, Hogben, C, Hollingsworth, A, Hollis, S, Hollmann, E, Holzl, M, Homan, B, Hook, M, Hopley, D, Hora:ek, J, Horsley, D, Horsten, N, Horton, A, Horton, L, Horvath, L, Hotchin, S, Howell, R, Hu, Z, Huber, A, Huber, V, Huddleston, T, Huijsmans, G, Huynh, P, Hynes, A, Iliasova, M, Lmrie, D, Lmrisek, M, Lngleby, J, Innocente, P, Bjork, K, Isernia, N, lvanova-Stanik, I, Lvings, E, Jablonski, S, Jachmich, S, Jackson, T, Jacquet, P, Jarleblad, H, Jaulmes, F, Rodriguez, J, Jepu, I, Joffrin, E, Johnson, R, Johnson, T, Johnston, J, Jones, C, Jones, G, Jones, L, Jones, N, Jones, T, Joyce, A, Juarez, R, Juvonen, M, Kalnina, P, Kaltiaisenaho, T, Kaniewski, J, Kantor, A, Kappatou, A, Karhunen, J, Karkinsky, D, Kashchuk, Y, Kaufman, M, Kaveney, G, Kazakov, Y, Kazantzidis, V, Keeling, D, Kelly, R, Kempenaars, M, Kennedy, C, Kennedy, D, Kent, J, Khan, K, Khilkevich, E, Kiefer, C, Kilpelainen, J, Kim, C, Kim, H, Kim, S, King, D, King, R, Kinna, D, Kiptily, V, Kirjasuo, A, Kirov, K, Kirschner, A, Kiviniemi, T, Kizane, G, Klas, M, Klepper, C, Klix, A, Kneale, G, Knight, M, Knight, P, Knights, R, Knipe, S, Knolker, M, Knott, S, Kocan, M, Kochl, F, Kodeli, I, Kolesnichenko, Y, Kominis, Y, Kong, M, Korovin, V, Kos, B, Kos, D, Koslowski, H, Kotschenreuther, M, Koubiti, M, Kowalska-Strzeciwilk, E, Koziol, K, Krasilnikov, A, Krasilnikov, V, Kresina, M, Krieger, K, Krishnan, N, Krivska, A, Kruezi, U, Ksiezek, I, Kukushkin, A, Kumpulainen, H, Kurki-Suonio, T, Kurotaki, H, Kwak, S, Kwon, O, Laguardia, L, Lagzdina, E, Lahtinen, A, Laing, A, Lam, N, Lambertz, H, Lane, B, Lane, C, Neto, E, Laszyriska, E, Lawson, K, Lazaros, A, Lazzaro, E, Learoyd, G, Lee, C, Lee, S, Leerink, S, Leeson, T, Lefebvre, X, Leggate, H, Lehmann, J, Lehnen, M, Leichtle, D, Leipold, F, Lengar, I, Lennholm, M, Gutierrez, E, Lepiavko, B, Leppanen, J, Lerche, E, Lescinskis, A, Lewis, J, Leysen, W, Li, L, Li, Y, Likonen, J, Linsmeier, C, Lipschultz, B, Litaudon, X, Litherland-Smith, E, Liu, F, Loarer, T, Loarte, A, Lobel, R, Lomanowski, B, Lomas, P, Lopez, J, Lorenzini, R, Loreti, S, Losada, U, Loschiavo, V, Loughlin, M, Louka, Z, Lovell, J, Lowe, T, Lowry, C, Lubbad, S, Luce, T, Lucock, R, Lukin, A, Luna, C, de la Luna, E, Lungaroni, M, Lungu, C, Lunt, T, Lutsenko, V, Lyons, B, Lyssoivan, A, Machielsen, M, Macusova, E, Maenpaa, R, Maggi, C, Maggiora, R, Magness, M, Mahesan, S, Maier, H, Maingi, R, Malinowski, K, Manas, P, Mantica, P, Mantsinen, M, Manyer, J, Manzanares, A, Maquet, P, Marceca, G, Marcenko, N, Marchetto, C, Marchuk, O, Mariani, A, Mariano, G, Marin, M, Marinelli, M, Markovic, T, Marocco, D, Marot, L, Marsden, S, Marsh, J, Marshall, R, Martellucci, L, Martin, A, Martone, R, Maruyama, S, Maslov, M, Masuzaki, S, Matejcik, S, Mattei, M, Matthews, G, Matveev, D, Matveeva, E, Mauriya, A, Maviglia, F, Mayer, M, Mayoral, M, Mazzi, S, Mazzotta, C, Mcadams, R, Mccarthy, P, Mcclements, K, Mcclenaghan, J, Mccullen, P, Mcdonald, D, Mcguckin, D, Mchugh, D, Mclntyre, G, Mckean, R, Mckehon, J, Mcmillan, B, Mcnamee, L, Mcshee, A, Meakins, A, Medley, S, Meekes, C, Meghani, K, Meigs, A, Meisl, G, Meitner, S, Menmuir, S, Mergia, K, Merriman, S, Mertens, P, Meshchaninov, S, Messiaen, A, Michling, R, Middleton, P, Middleton-Gear, D, Mietelski, J, Milanesio, D, Milani, E, Militello, F, Asp, A, Milnes, J, Milocco, A, Miloshevsky, G, Minghao, C, Minucci, S, Miron, I, Miyamoto, M, Mlynar, J, Moiseenko, V, Monaghan, P, Monakhov, I, Moody, T, Moon, S, Mooney, R, Moradi, S, Morales, J, Morales, R, Mordijck, S, Moreira, L, Morgan, L, Moro, F, Morris, J, Morrison, K, Moser, L, Moulton, D, Mrowetz, T, Mundy, T, Muraglia, M, Muraro, A, Muthusonai, N, N'Konga, B, Na, Y, Nabais, F, Naden, M, Naish, J, Naish, R, Napoli, F, Nardon, E, Naulin, V, Nave, M, Nedzelskiy, I, Nemtsev, G, Nesenevich, V, Nestoras, I, Neu, R, Neverov, V, Ng, S, Nicassio, M, Nielsen, A, Nina, D, Nishijima, D, Noble, C, Nobs, C, Nocente, M, Nodwell, D, Nordlund, K, Nordman, H, Normanton, R, Noterdaeme, J, Nowak, S, Nunn, E, Nystrom, H, Oberparleiter, M, Obryk, B, O'Callaghan, J, Odupitan, T, Oliver, H, Olney, R, O'Mullane, M, Ongena, J, Organ, E, Orsitto, F, Orszagh, J, Osborne, T, Otin, R, Otsuka, T, Owen, A, Oya, Y, Oyaizu, M, Paccagnella, R, Pace, N, Packer, L, Paige, S, Pajuste, E, Palade, D, Pamela, S, Panadero, N, Panontin, E, Papadopoulos, A, Papp, G, Papp, P, Parail, V, Pardanaud, C, Parisi, J, Diaz, F, Parsloe, A, Parsons, M, Parsons, N, Passeri, M, Patel, A, Pau, A, Pautasso, G, Pavlichenko, R, Pavone, A, Pawelec, E, Soldan, C, Peacock, A, Pearce, M, Peluso, E, Penot, C, Pepperell, K, Pereira, R, Pereira, T, Cippo, E, Pereslavtsev, P, Perez von Thun, C, Pericoli, V, Perry, D, Peterka, M, Petersson, P, Petravich, G, Petrella, N, Peyman, M, Pillon, M, Pinches, S, Pintsuk, G, Pires de Sa, W, Pires dos Reis, A, Piron, C, Piron, L, Pironti, A, Pitts, R, van de Plassche, K, Platt, N, Plyusnin, V, Podesta, M, Pokol, G, Poli, F, Pompilian, O, Popovichev, S, Poradzinski, M, Porfiri, M, Porkolab, M, Porosnicu, C, Porton, M, Poulipoulis, G, Predebon, I, Prestopino, G, Price, C, Price, D, Price, M, Primetzhofer, D, Prior, P, Provatas, G, Pucella, G, Puglia, P, Purahoo, K, Pusztai, I, Putignano, O, Putterich, T, Quercia, A, Rachlew, E, Radulescu, G, Radulovic, V, Rainford, M, Raj, P, Ralph, G, Ramogida, G, Rasmussen, D, Rasmussen, J, Ratynskaia, S, Rebai, M, Refy, D, Reichle, R, Reinke, M, Reiser, D, Reux, C, Reynolds, S, Richiusa, M, Richyal, S, Rigamonti, D, Rimini, F, Risner, J, Riva, M, Rivero-Rodriguez, J, Roach, C, Robins, R, Robinson, S, Robson, D, Rodionov, R, Rodrigues, P, Ramos, M, Rodriguez-Fernandez, P, Romanelli, F, Romanelli, M, Romanelli, S, Romazanov, J, Rossi, R, Rowe, S, Rowlands, D, Rubel, M, Rubinacci, G, Rubino, G, Ruchko, L, Ruiz, M, Ruiz, J, Ruset, C, Rzadkiewicz, J, Saarelma, S, Safi, E, Sahlberg, A, Salewski, M, Salmi, A, Salmon, R, Salzedas, F, Sanders, I, Sandiford, D, Santos, B, Santucci, A, Sarkimaki, K, Sarwar, R, Sarychev, I, Sauter, O, Sauwan, P, Scapin, N, Schluck, F, Schmid, K, Schmuck, S, Schneider, M, Schneider, P, Schworer, D, Scott, G, Scott, M, Scraggs, D, Scully, S, Segato, M, Seo, J, Sergienko, G, Sertoli, M, Sharapov, S, Shaw, A, Sheikh, H, Sheikh, U, Shepherd, A, Shevelev, A, Shigin, P, Shinohara, K, Shiraiwa, S, Shiraki, D, Short, M, Sias, G, Silburn, S, Silva, A, Silva, C, Silva, J, Silvagni, D, Simfukwe, D, Simpson, J, Sinclair, D, Sipila, S, Sips, A, Siren, P, Sirinelli, A, Sjostrand, H, Skinner, N, Slater, J, Smith, N, Smith, P, Snell, J, Snoep, G, Snoj, L, Snyder, P, Soare, S, Solano, E, Solokha, V, Somers, A, Sommariva, C, Soni, K, Sorokovoy, E, Sos, M, Sousa, J, Sozzi, C, Spagnolo, S, Spelzini, T, Spineanu, F, Spong, D, Sprada, D, Sridhar, S, Srinivasan, C, Stables, G, Staebler, G, Stamatelatos, I, Stancar, Z, Staniec, P, Stankunas, G, Stead, M, Stefanikova, E, Stephen, A, Stephens, J, Stevenson, P, Stojanov, M, Strand, P, Strauss, H, Strikwerda, S, Strom, P, Stuart, C, Studholme, W, Subramani, M, Suchkov, E, Sumida, S, Sun, H, Susts, T, Svensson, J, Svoboda, J, Sweeney, R, Sytnykov, D, Szabolics, T, Szepesi, G, Tabia, B, Tadic, T, Tal, B, Tala, T, Tallargio, A, Tamain, P, Tan, H, Tanaka, K, Tang, W, Tardocchi, M, Taylor, D, Teimane, A, Telesca, G, Teplova, N, Teplukhina, A, Terentyev, D, Terra, A, Terranova, D, Terranova, N, Testa, D, Tholerus, E, Thomas, J, Thoren, E, Thorman, A, Tierens, W, Tinguely, R, Tipton, A, Todd, H, Tokitani, M, Tolias, P, Tomes, M, Tookey, A, Torikai, Y, von Toussaint, U, Tsavalas, P, Tskhakaya, D, Turner, I, Turner, M, Turnyanskiy, M, Tvalashvili, G, Tyrrell, S, Tyshchenko, M, Uccello, A, Udintsev, V, Urbanczyk, G, Vadgama, A, Valcarcel, D, Valisa, M, Olivares, P, Vallhagen, O, Valovic, M, Eester, D, Varje, J, Vartanian, S, Vasilopoulou, T, Vayakis, G, Vecsei, M, Ventre, S, Verdoolaege, G, Verona, C, Rinati, G, Veshchev, E, Vianello, N, Viezzer, E, Vignitchouk, L, Vila, R, Villari, R, Villone, F, Vincenzi, P, Vinyar, I, Viola, B, Virtanen, A, Vitins, A, Vizvary, Z, Vlad, G, Vlad, M, Vondracek, P, de Vries, P, Wakeling, B, Walkden, N, Walker, M, Walker, R, Walsh, M, Wang, E, Wang, N, Warder, S, Warren, R, Waterhouse, J, Watts, C, Wauters, T, Weckmann, A, Maxwell, H, Weiland, M, Weisen, H, Weiszflog, M, Welch, P, Wendler, N, West, A, Wheatley, M, Wheeler, S, Whitehead, A, Whittaker, D, Widdowson, A, Wiesen, S, Wilkinson, J, Williams, J, Willoughby, D, Wilson, I, Wilson, J, Wilson, T, Wischmeier, M, Wise, P, Withenshaw, G, Withycombe, A, Witts, D, Wojcik-Gargula, A, Wolfrum, E, Wood, R, Woodley, C, Woodley, R, Woods, B, Wright, J, Xu, T, Yadikin, D, Yajima, M, Yakovenko, Y, Yang, Y, Yanling, W, Yanovskiy, V, Young, I, Young, R, Zabolockis, R, Zacks, J, Zagorski, R, Zaitsev, F, Zakharov, L, Zarins, A, Fernandez, D, Zastrow, K, Zayachuk, Y, Zerbini, M, Zhang, W, Zhou, Y, Zlobinski, M, Zocco, A, Zohar, A, Zoita, V, Zoletnik, S, Zotta, V, Zoulias, I, Zwingmann, W, Zychor, I, Vega J., Murari A., Dormido-Canto S., Ratta G. A., Gelfusa M., Mailloux J., Abid N., Abraham K., Abreu P., Adabonyan O., Adrich P., Afanasev V., Afzal M., Ahlgren T., Aho-Mantila L., Aiba N., Airila M., Akhtar M., Albanese R., Alderson-Martin M., Alegre D., Aleiferis S., Aleksa A., Alekseev A. G., Alessi E., Aleynikov P., Algualcil J., Ali M., Allinson M., Alper B., Alves E., Ambrosino G., Ambrosino R., Amosov V., Sunden E. A., Andrew P., Angelini B. M., Angioni C., Antoniou I., Appel L. C., Appelbee C., Aria S., Ariola M., Artaserse G., Arter W., Artigues V., Asakura N., Ash A., Ashikawa N., Aslanyan V., Astrain M., Asztalos O., Auld D., Auriemma F., Austin Y., Avotina L., Aymerich E., Baciero A., Bairaktaris F., Balbin J., Balbinot L., Balboa I., Balden M., Balshaw C., Balshaw N., Bandaru V. K., Banks J., Baranov Y. F., Barcellona C., Barnard A., Barnard M., Barnsley R., Barth A., Baruzzo M., Barwell S., Bassan M., Batista A., Batistoni P., Baumane L., Bauvir B., Baylor L., Beaumont P. S., Beckett D., Begolli A., Beidler M., Bekris N., Beldishevski M., Belli E., Belli F., Belonohy E., Yaala M. B., Benayas J., Bentley J., Bergsaker H., Bernardo J., Bernert M., Berry M., Bertalot L., Betar H., Beurskens M., Bickerton S., Bieg B., Bielecki J., Bierwage A., Biewer T., Bilato R., Bilkova P., Birkenmeier G., Bishop H., Bizarro J. P. S., Blackburn J., Blanchard P., Blatchford P., Bobkov V., Boboc A., Bohm P., Bohm T., Bolshakova I., Bolzonella T., Bonanomi N., Bonfiglio D., Bonnin X., Bonofiglo P., Boocock S., Booth A., Booth J., Borba D., Borodin D., Borodkina I., Boulbe C., Bourdelle C., Bowden M., Boyd K., Bozicevic Mihalic I., Bradnam S. C., Braic V., Brandt L., Bravanec R., Breizman B., Brett A., Brezinsek S., Brix M., Bromley K., Brown B., Brunetti D., Buckingham R., Buckley M., Budny R., Buermans J., Bufferand H., Buratti P., Burgess A., Buscarino A., Busse A., Butcher D., de la Cal E., Calabro G., Calacci L., Calado R., Camenen Y., Canal G., Cannas B., Cappelli M., Carcangiu S., Card P., Cardinali A., Carman P., Carnevale D., Carr M., Carralero D., Carraro L., Carvalho I. S., Carvalho P., Casiraghi I., Casson F. J., Castaldo C., Catalan J. P., Catarino N., Causa F., Cavedon M., Cecconello M., Challis C. D., Chamberlain B., Chang C. S., Chankin A., Chapman B., Chernyshova M., Chiariello A., Chmielewski P., Chomiczewska A., Chone L., Ciraolo G., Ciric D., Citrin J., Ciupinski T., Clark M., Clarkson R., Clements C., Cleverly M., Coad J. P., Coates P., Cobalt A., Coccorese V., Coelho R., Coenen J. W., Coffey I. H., Colangeli A., Colas L., Collins C., Collins J., Collins S., Conka D., Conroy S., Conway B., Conway N. J., Coombs D., Cooper P., Cooper S., Corradino C., Corrigan G., Coster D., Cox P., Craciunescu T., Cramp S., Crapper C., Craven D., Craven R., Esposito M. C., Croci G., Croft D., Croitoru A., Crombe K., Cronin T., Cruz N., Crystal C., Cseh G., Cufar A., Cullen A., Curuia M., Czarski T., Dabirikhah H., Dal Molin A., Dale E., Dalgliesh P., Dalley S., Dankowski J., David P., Davies A., Davies S., Davis G., Dawson K., Dawson S., Day I. E., De Bock M., De Temmerman G., De Tommasi G., Deakin K., Deane J., Dejarnac R., Del Sarto D., Delabie E., Del-Castillo-Negrete D., Dempsey A., Dendy R. O., Devynck P., Di Siena A., Di Troia C., Dickson T., Dinca P., Dittmar T., Dobrashian J., Doerner R. P., Donne A. J. 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A., Huynh P., Hynes A., Iliasova M., lmrie D., lmrisek M., lngleby J., Innocente P., Bjork K. I., Isernia N., lvanova-Stanik I., lvings E., Jablonski S., Jachmich S., Jackson T., Jacquet P., Jarleblad H., Jaulmes F., Rodriguez J. J., Jepu I., Joffrin E., Johnson R., Johnson T., Johnston J., Jones C., Jones G., Jones L., Jones N., Jones T., Joyce A., Juarez R., Juvonen M., Kalnina P., Kaltiaisenaho T., Kaniewski J., Kantor A., Kappatou A., Karhunen J., Karkinsky D., Kashchuk Y., Kaufman M., Kaveney G., Kazakov Y. E. O., Kazantzidis V., Keeling D. L., Kelly R., Kempenaars M., Kennedy C., Kennedy D., Kent J., Khan K., Khilkevich E., Kiefer C., Kilpelainen J., Kim C., Kim H. -T., Kim S. H., King D. B., King R., Kinna D., Kiptily V. G., Kirjasuo A., Kirov K. K., Kirschner A., kiviniemi T., Kizane G., Klas M., Klepper C., Klix A., Kneale G., Knight M., Knight P., Knights R., Knipe S., Knolker M., Knott S., Kocan M., Kochl F., Kodeli I., Kolesnichenko Y., Kominis Y., Kong M., Korovin V., Kos B., Kos D., Koslowski H. R., Kotschenreuther M., Koubiti M., Kowalska-Strzeciwilk E., Koziol K., Krasilnikov A., Krasilnikov V., Kresina M., Krieger K., Krishnan N., Krivska A., Kruezi U., Ksiezek I., Kukushkin A. B., Kumpulainen H., Kurki-Suonio T., Kurotaki H., Kwak S., Kwon O. J., Laguardia L., Lagzdina E., Lahtinen A., Laing A., Lam N., Lambertz H. T., Lane B., Lane C., Neto E. L., Laszyriska E., Lawson K. D., Lazaros A., Lazzaro E., Learoyd G., Lee C., Lee S. E., Leerink S., Leeson T., Lefebvre X., Leggate H. J., Lehmann J., Lehnen M., Leichtle D., Leipold F., Lengar I., Lennholm M., Gutierrez E. 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F., Matveev D., Matveeva E., Mauriya A., Maviglia F., Mayer M., Mayoral M. -L., Mazzi S., Mazzotta C., McAdams R., McCarthy P. J., McClements K. G., McClenaghan J., McCullen P., McDonald D. C., McGuckin D., McHugh D., Mclntyre G., McKean R., McKehon J., McMillan B., McNamee L., McShee A., Meakins A., Medley S., Meekes C. J., Meghani K., Meigs A. G., Meisl G., Meitner S., Menmuir S., Mergia K., Merriman S., Mertens P., Meshchaninov S., Messiaen A., Michling R., Middleton P., Middleton-Gear D., Mietelski J., Milanesio D., Milani E., Militello F., Asp A. M., Milnes J., Milocco A., Miloshevsky G., Minghao C., Minucci S., Miron I., Miyamoto M., Mlynar J., Moiseenko V., Monaghan P., Monakhov I., Moody T., Moon S., Mooney R., Moradi S., Morales J., Morales R. 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Abstract

In nuclear fusion reactors, plasmas are heated to very high temperatures of more than 100 million kelvin and, in so-called tokamaks, they are confined by magnetic fields in the shape of a torus. Light nuclei, such as deuterium and tritium, undergo a fusion reaction that releases energy, making fusion a promising option for a sustainable and clean energy source. Tokamak plasmas, however, are prone to disruptions as a result of a sudden collapse of the system terminating the fusion reactions. As disruptions lead to an abrupt loss of confinement, they can cause irreversible damage to present-day fusion devices and are expected to have a more devastating effect in future devices. Disruptions expected in the next-generation tokamak, ITER, for example, could cause electromagnetic forces larger than the weight of an Airbus A380. Furthermore, the thermal loads in such an event could exceed the melting threshold of the most resistant state-of-the-art materials by more than an order of magnitude. To prevent disruptions or at least mitigate their detrimental effects, empirical models obtained with artificial intelligence methods, of which an overview is given here, are commonly employed to predict their occurrence—and ideally give enough time to introduce counteracting measures.

Published
2022

43. Enhanced performance in fusion plasmas through turbulence suppression by megaelectronvolt ions

Author

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R., Ruset C., Rzadkiewicz J., Saarelma S., Safi E., Salewski M., Salmi A., Salmon R., Salzedas F., Sanders I., Sandiford D., Santos B., Santucci A., Sarkimaki K., Sarwar R., Sarychev I., Sauter O., Sauwan P., Scapin N., Schluck F., Schmid K., Schmuck S., Schneider M., Schneider P. A., Schworer D., Scott G., Scott M., Scraggs D., Scully S., Segato M., Seo J., Sergienko G., Sertoli M., Sharapov S. E., Shaw A., Sheikh H., Sheikh U., Shepherd A., Shigin P., Shinohara K., Shiraiwa S., Shiraki D., Short M., Sias G., Silburn S. A., Silva A., Silva C., Silva J., Silvagni D., Simfukwe D., Simpson J., Sinclair D., Sipila S. K., Sips A. C. C., Siren P., Sirinelli A., Sjostrand H., Skinner N., Slater J., Smith N., Smith P., Snell J., Snoep G., Snoj L., Snyder P., Soare S., Solano E. 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M., Turnyanskiy M., Tvalashvili G., Tyrrell S., Tyshchenko M., Uccello A., Udintsev V., Urbanczyk G., Vadgama A., Valcarcel D., Valisa M., Vallejos Olivares P., Vallhagen O., Valovic M., Van Eester D., Varje J., Vartanian S., Vasilopoulou T., Vayakis G., Vecsei M., Vega J., Ventre S., Verdoolaege G., Verona C., Rinati G. V., Veshchev E., Vianello N., Viezzer E., Vignitchouk L., Vila R., Villari R., Villone F., Vincenzi P., Viola B., Virtanen A. J., Vitins A., Vizvary Z., Vlad G., Vlad M., Vondracek P., de Vries P., Wakeling B., Walkden N. R., Walker M., Walker R., Walsh M., Wang E., Wang N., Warder S., Warren R., Waterhouse J., Watts C., Wauters T., Weckmann A., Wedderburn Maxwell H., Weiland M., Weisen H., Weiszflog M., Welch P., Wendler N., West A., Wheatley M., Wheeler S., Whitehead A., Whittaker D., Widdowson A., Wiesen S., Wilkinson J., Williams J. 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C., Willoughby D., Wilson I., Wilson J., Wilson T., Wischmeier M., Wise P., Withenshaw G., Withycombe A., Witts D., Wojcik-Gargula A., Wolfrum E., Wood R., Woodley C., Woodley R., Woods B., Wright J., Wright J. C., Xu T., Yadikin D., Yajima M., Yakovenko Y., Yang Y., Yanling W., Yanovskiy V., Young I., Young R., Zabolockis R. J., Zacks J., Zagorski R., Zaitsev F. S., Zakharov L., Zarins A., Zastrow K. -D., Zayachuk Y., Zerbini M., Zhang W., Zhou Y., Zlobinski M., Zocco A., Zohar A., Zoita V., Zoletnik S., Zotta V. K., Zoulias I., Zwingmann W., and Zychor I.

Abstract

Alpha particles with energies on the order of megaelectronvolts will be the main source of plasma heating in future magnetic confinement fusion reactors. Instead of heating fuel ions, most of the energy of alpha particles is transferred to electrons in the plasma. Furthermore, alpha particles can also excite Alfvénic instabilities, which were previously considered to be detrimental to the performance of the fusion device. Here we report improved thermal ion confinement in the presence of megaelectronvolts ions and strong fast ion-driven Alfvénic instabilities in recent experiments on the Joint European Torus. Detailed transport analysis of these experiments reveals turbulence suppression through a complex multi-scale mechanism that generates large-scale zonal flows. This holds promise for more economical operation of fusion reactors with dominant alpha particle heating and ultimately cheaper fusion electricity.

Published
2022

44. Synthesis and reproductive toxicity of bisphenol A analogs with cyclic side chains in Caenorhabditis elegans

Author

Andrew H Roberts, John E Bowen, Xinrui Zhou, Isabella Burke, Maxwell H Wenaas, Timothy A Blake, Shannon C Timmons, and Aleksandra Kuzmanov

Subjects
Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Toxicology
Abstract

Accumulating evidence has shown that bisphenol A (BPA) affects not only the growth and development of reproductive tissues but also disrupts meiosis. Meiotic disturbances lead to the formation of aneuploid gametes, resulting in the inability to conceive, pregnancy loss, and developmental disabilities in offspring. In recent years, increasing health concerns led manufacturers to seek BPA alternatives. In response, BPA analogs have been prepared and investigated in a variety of toxicity-related studies. Despite hopes that these analogs would prove less harmful than BPA, published data show that these alternatives continue to pose a significant risk to human health. In this study, we synthesized two less investigated BPA analogs with cyclic side chains, bisphenol Y (BPY) and bisphenol Z (BPZ), and evaluated their reprotoxic potential using Caenorhabditis elegans. C. elegans were cultured on nematode growth medium plates containing a 1 mM concentration of the dimethyl sulfoxide-dissolved bisphenols. The uptake of the chemicals was via two major routes: ingestion and cuticle diffusion. Following exposure, we evaluated fertilized egg count, germline apoptosis, and embryonic lethality—three parameters previously shown to reliably predict the reprotoxic potential of bisphenols in mammals. Our results indicated that both BPY and BPZ had a significant impact on fertility, resulting in increased germline apoptosis and a reduced number of progeny, without affecting the embryonic viability. After comparison with commercially relevant BPA and bisphenol S, our findings imply that BPA analogs with cyclic side chains, BPY and BPZ, adversely affect meiotic fidelity, resulting in diminished reproductive capacity.

Published
2022
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45. An exploration of physical activity, migrant women and leisure experiences

Author

McDonald, D, Maxwell, H, Gholizadeh, L, Burridge, N, McDonald, D, Maxwell, H, Gholizadeh, L, and Burridge, N

Abstract

Physical Activity is linked to a wide range of social, psychological, and physical health and leisure benefits. However, many sub-groups of the Australian population experience inequity in accessing opportunities to engage in this health promoting behaviour. Migrant women, from non-English speaking backgrounds, report the lowest levels of physical activity participation within Australia. This study explores the perceptions of physical activity among a group of migrant women living in Sydney, Australia. Focus group interviews and written narratives were used to explore the experiences and perceptions of 81 women born in the Middle East and in North Africa. Key findings include new insights regarding the way the term ‘physical activity’ was defined and understood among the participant group, as well as the perceived benefits, enablers, motives and barriers to participation. These results provide guidance and direction for future policy development and health messaging, with a strong focus on addressing leisure inequity.

Published
2023

46. The genome of a bunyavirus cannot be defined at the level of the viral particle but only at the scale of the viral population

Author

Yvon, Michel, German, Thomas L., Ullman, Diane E., Dasgupta, Ranjit, Parker, Maxwell H., Ben-Mahmoud, Sulley, Verdin, Eric, Gognalons, Patrick, Ancelin, Aurélie, Laï Kee Him, Joséphine, Girard, Justine, Vernerey, Marie-Stéphanie, Fernandez, Emmanuel, Filloux, Denis, Roumagnac, Philippe, Bron, Patrick, Michalakis, Yannis, Blanc, Stéphane, Yvon, Michel, German, Thomas L., Ullman, Diane E., Dasgupta, Ranjit, Parker, Maxwell H., Ben-Mahmoud, Sulley, Verdin, Eric, Gognalons, Patrick, Ancelin, Aurélie, Laï Kee Him, Joséphine, Girard, Justine, Vernerey, Marie-Stéphanie, Fernandez, Emmanuel, Filloux, Denis, Roumagnac, Philippe, Bron, Patrick, Michalakis, Yannis, and Blanc, Stéphane

Abstract

Bunyaviruses are enveloped negative or ambisense single-stranded RNA viruses with a genome divided into several segments. The canonical view depicts each viral particle packaging one copy of each genomic segment in one polarity named the viral strand. Several opposing observations revealed nonequal ratios of the segments, uneven number of segments per virion, and even packaging of viral complementary strands. Unfortunately, these observations result from studies often addressing other questions, on distinct viral species, and not using accurate quantitative methods. Hence, what RNA segments and strands are packaged as the genome of any bunyavirus remains largely ambiguous. We addressed this issue by first investigating the virion size distribution and RNA content in populations of the tomato spotted wilt virus (TSWV) using microscopy and tomography. These revealed heterogeneity in viral particle volume and amount of RNA content, with a surprising lack of correlation between the two. Then, the ratios of all genomic segments and strands were established using RNA sequencing and qRT-PCR. Within virions, both plus and minus strands (but no mRNA) are packaged for each of the three L, M, and S segments, in reproducible nonequimolar proportions determined by those in total cell extracts. These results show that virions differ in their genomic content but together build up a highly reproducible genetic composition of the viral population. This resembles the genome formula described for multipartite viruses, with which some species of the order Bunyavirales may share some aspects of the way of life, particularly emerging properties at a supravirion scale.

Published
2023

48. Application of a metatranscriptomics technology, CSI-Dx, for the detection of pathogens associated with prosthetic joint infections

Author

Justin R. Wright, Jeremy R. Chen See, Truc T. Ly, Vasily Tokarev, Jordan Pellegrino, Logan Peachey, Samantha L. C. Anderson, Christine Y. Walls, Maxwell Hosler, Alexander J. Shope, Simmi Gulati, Krista O. Toler, and Regina Lamendella

Subjects
Medicine, Science
Abstract

Abstract Preoperative identification of causal organism(s) is crucial for effective prosthetic joint infection treatment. Herein, we explore the clinical application of a novel metatranscriptomic (MT) workflow, CSI-Dx, to detect pathogens associated with prosthetic joint infection. MT provides insight into transcriptionally active microbes, overcoming limitations of culture-based and available molecular methods. This study included 340 human synovial fluid specimens subjected to CSI-Dx and traditional culture-based methods. Exploratory analyses were conducted to determine sensitivity and specificity of CSI-Dx for detecting clinically-relevant taxa. Our findings provide insights into the active microbial community composition of synovial fluid from arthroplasty patients and demonstrate the potential clinical utility of CSI-Dx for aiding prosthetic joint infection diagnosis. This approach offers potential for improved sensitivity and acceptable specificity compared to synovial fluid culture, enabling detection of culturable and non-culturable microorganisms. Furthermore, CSI-Dx provides valuable information on antimicrobial resistance gene expression. While further optimization is needed, integrating metatranscriptomic technologies like CSI-Dx into routine clinical practice can revolutionize prosthetic joint infection diagnosis by offering a comprehensive and active snapshot of associated pathogens.

Published
2024
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50. Natural and engineered mediators of desiccation tolerance stabilize Human Blood Clotting Factor VIII in a dry state

Author

Maxwell H. Packebush, Silvia Sanchez-Martinez, Sourav Biswas, KC Shraddha, Kenny Nguyen, and Thomas C. Boothby

Abstract

Biologics, pharmaceuticals containing or derived from living organisms, such as vaccines, antibodies, stem cells, blood, and blood products are a cornerstone of modern medicine. However, nearly all biologics have a major deficiency: they are inherently unstable, requiring storage under constant cold conditions. The so-called ‘cold-chain’, while effective, represents a serious economic and logistical hurdle for deploying biologics in remote, underdeveloped, or austere settings where access to cold-chain infrastructure ranging from refrigerators and freezers to stable electricity is limited. To address this issue, we explore the possibility of using anhydrobiosis, the ability of organisms such as tardigrades to enter a reversible state of suspended animation brought on by extreme drying, as a jumping off point in the development of dry storage technology that would allow biologics to be kept in a desiccated state under ambient or even elevated temperatures. Here we examine the ability of different protein and sugar-based mediators of anhydrobiosis derived from tardigrades and other anhydrobiotic organisms to stabilize Human Blood Clotting Factor VIII under repeated dehydration/rehydration cycles, thermal stress, and long-term dry storage conditions. We find that while both protein and sugarbased protectants can stabilize the biologic pharmaceutical Human Blood Clotting Factor FVIII under all these conditions, protein-based mediators offer more accessible avenues for engineering and thus tuning of protective function. Using classic protein engineering approaches, we fine tune the biophysical properties of a protein-based mediator of anhydrobiosis derived from a tardigrade, CAHS D. Modulating the ability of CAHS D to form hydrogels made the protein better or worse at providing protection to Human Blood Clotting Factor VIII under different conditions. This study demonstrates the effectiveness of tardigrade CAHS proteins and other mediators of desiccation tolerance at preserving the function of a biologic without the need for the cold-chain. In addition, our study demonstrates that engineering approaches can tune natural products to serve specific protective functions, such as coping with desiccation cyclingversusthermal stress. Ultimately, these findings provide a proof of principle that our reliance on the cold-chain to stabilize life-saving pharmaceuticals can be broken using natural and engineered mediators of desiccation tolerance.

Published
2022
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