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101. Polygenic risk for neuroticism is associated with less efficient control in more difficult situations.

Author: Park, Heekyeong, Forthman, Katherine, Kuplicki, Rayus, Victor, Teresa, Yeh, Hung-Wen, Thompson, Wesley, Howlett, Jonathon, Guinjoan, Salvador, and Paulus, Martin
Subjects: Cognitive control, Genetic risk, Neuroticism, Stop signal task, fMRI, Humans, Neuroticism, Prefrontal Cortex, Gyrus Cinguli, Risk Factors
Abstract: Neuroticism is a heritable trait and a risk factor for mental health due to its relevance to poor control of negative events. To examine the relationship between genetic propensity for neuroticism and control processing, we used the polygenic risk score (PRS) approach and a stop signal task during fMRI. We hypothesized that genetic propensity for neuroticism may moderate control processing as a function of control difficulty. PRSs for neuroticism were computed from a transdiagnostic group of individuals (n=406) who completed the stop signal task. The level of control difficulty was a function of the stop signal asynchrony: shorter asynchrony allows easier stopping whereas longer asynchrony makes stopping difficult. The relationship between PRS for neuroticism and neural activity for controlling responses was examined by the stop signal asynchrony. Although PRS for neuroticism did not relate to the overall inhibitory control, individuals with high PRS for neuroticism showed greater activity in left dorsal prefrontal cortex, middle temporal gyrus, and dorsal posterior cingulate cortex for difficult control. Thus, the genetic propensity for neuroticism affects neural processing in a difficult control context, which may help to explain why individuals with high levels of neuroticism exert poor control of negative events in difficult situations.
Published: 2023

102. Goods and Bads of the Endocannabinoid System as a Therapeutic Target: Lessons Learned after 30 Years.

Author: Maccarrone, Mauro, Di Marzo, Vincenzo, Gertsch, Jürg, Grether, Uwe, Howlett, Allyn, Hua, Tian, Makriyannis, Alexandros, Piomelli, Daniele, Ueda, Natsuo, and van der Stelt, Mario
Subjects: Humans, Child, Endocannabinoids, Cannabidiol, Cannabinoids, Dronabinol, Cannabis, Carrier Proteins, Hallucinogens, Cannabinoid Receptor Agonists
Abstract: The cannabis derivative marijuana is the most widely used recreational drug in the Western world and is consumed by an estimated 83 million individuals (∼3% of the world population). In recent years, there has been a marked transformation in society regarding the risk perception of cannabis, driven by its legalization and medical use in many states in the United States and worldwide. Compelling research evidence and the Food and Drug Administration cannabis-derived cannabidiol approval for severe childhood epilepsy have confirmed the large therapeutic potential of cannabidiol itself, Δ9-tetrahydrocannabinol and other plant-derived cannabinoids (phytocannabinoids). Of note, our body has a complex endocannabinoid system (ECS)-made of receptors, metabolic enzymes, and transporters-that is also regulated by phytocannabinoids. The first endocannabinoid to be discovered 30 years ago was anandamide (N-arachidonoyl-ethanolamine); since then, distinct elements of the ECS have been the target of drug design programs aimed at curing (or at least slowing down) a number of human diseases, both in the central nervous system and at the periphery. Here a critical review of our knowledge of the goods and bads of the ECS as a therapeutic target is presented to define the benefits of ECS-active phytocannabinoids and ECS-oriented synthetic drugs for human health. SIGNIFICANCE STATEMENT: The endocannabinoid system plays important roles virtually everywhere in our body and is either involved in mediating key processes of central and peripheral diseases or represents a therapeutic target for treatment. Therefore, understanding the structure, function, and pharmacology of the components of this complex system, and in particular of key receptors (like cannabinoid receptors 1 and 2) and metabolic enzymes (like fatty acid amide hydrolase and monoacylglycerol lipase), will advance our understanding of endocannabinoid signaling and activity at molecular, cellular, and system levels, providing new opportunities to treat patients.
Published: 2023

103. Target selection for the DESI Peculiar Velocity Survey

Author: Saulder, Christoph, Howlett, Cullan, Douglass, Kelly A, Said, Khaled, BenZvi, Segev, Ahlen, Steven, Aldering, Greg, Bailey, Stephen, Brooks, David, Davis, Tamara M, de la Macorra, Axel, Dey, Arjun, Font-Ribera, Andreu, Forero-Romero, Jaime E, Gontcho, Satya Gontcho A, Honscheid, Klaus, Kim, Alex G, Kisner, Theodore, Kremin, Anthony, Landriau, Martin, Levi, Michael E, Lucey, John, Meisner, Aaron M, Miquel, Ramon, Moustakas, John, Myers, Adam D, Palanque-Delabrouille, Nathalie, Percival, Will, Poppett, Claire, Prada, Francisco, Qin, Fei, Schubnell, Michael, Tarlé, Gregory, Magaña, Mariana Vargas, Weaver, Benjamin Alan, Zhou, Rongpu, Zhou, Zhimin, and Zou, Hu
Subjects: Space Sciences, Particle and High Energy Physics, Astronomical Sciences, Physical Sciences, surveys, galaxies: distances and redshifts, cosmology: observations, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: We describe the target selection and characteristics of the DESI Peculiar Velocity Survey, the largest survey of peculiar velocities (PVs) using both the fundamental plane (FP) and the Tully-Fisher (TF) relationship planned to date. We detail how we identify suitable early-type galaxies (ETGs) for the FP and suitable late-type galaxies (LTGs) for the TF relation using the photometric data provided by the DESI Legacy Imaging Survey DR9. Subsequently, we provide targets for 373 533 ETGs and 118 637 LTGs within the Dark Energy Spectroscopic Instrument (DESI) 5-yr footprint. We validate these photometric selections using existing morphological classifications. Furthermore, we demonstrate using survey validation data that DESI is able to measure the spectroscopic properties to sufficient precision to obtain PVs for our targets. Based on realistic DESI fibre assignment simulations and spectroscopic success rates, we predict the final DESI PV Survey will obtain ∼133 000 FP-based and ∼53 000 TF-based PV measurements over an area of 14 000 deg2. We forecast the ability of using these data to measure the clustering of galaxy positions and PVs from the combined DESI PV and Bright Galaxy Surveys (BGS), which allows for cancellation of cosmic variance at low redshifts. With these forecasts, we anticipate a 4 per cent statistical measurement on the growth rate of structure at z < 0.15. This is over two times better than achievable with redshifts from the BGS alone. The combined DESI PV and BGS will enable the most precise tests to date of the time and scale dependence of large-scale structure growth at z < 0.15.
Published: 2023

104. The Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C) for serious mental illness in community mental health part 2: study protocol for a hybrid type 2 effectiveness-implementation cluster-randomized trial using train-the-trainer.

Author: Callaway, Catherine, Sarfan, Laurel, Agnew, Emma, Dong, Lu, Spencer, Julia, Hache, Rafael, Diaz, Marlen, Howlett, Shayna, Fisher, Krista, Yates, Heather, Stice, Eric, Kilbourne, Amy, Buysse, Daniel, and Harvey, Allison
Subjects: Adaptation, Circadian, Community mental health, Implementation, Serious mental illness, Sleep, Sustainment, Train-the-trainer, Transdiagnostic, Humans, Mental Health, Treatment Outcome, Mental Disorders, Sleep, Community Mental Health Centers, Randomized Controlled Trials as Topic
Abstract: BACKGROUND: Train-the-trainer (TTT) is a promising method for implementing evidence-based psychological treatments (EBPTs) in community mental health centers (CMHCs). In TTT, expert trainers train locally embedded individuals (i.e., Generation 1 providers) to deliver an EBPT, who then train others (i.e., Generation 2 providers). The present study will evaluate implementation and effectiveness outcomes of an EBPT for sleep and circadian dysfunction-the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C)-delivered to CMHC patients with serious mental illness by Generation 2 providers (i.e., trained and supervised within CMHCs via TTT). Specifically, we will investigate whether adapting TranS-C to fit CMHC contexts improves Generation 2 (a) patient outcomes and (b) providers perceptions of fit. METHODS: TTT will be implemented in nine CMHCs in California, USA (N = 60 providers; N = 130 patients) via facilitation. CMHCs are cluster-randomized by county to Adapted TranS-C or Standard TranS-C. Within each CMHC, patients are randomized to immediate TranS-C or usual care followed by delayed treatment with TranS-C (UC-DT). Aim 1 will assess the effectiveness of TranS-C (combined Adapted and Standard), compared to UC-DT, on improvements in sleep and circadian problems, functional impairment, and psychiatric symptoms for Generation 2 patients. Aim 2 will evaluate whether Adapted TranS-C is superior to Standard TranS-C with respect to Generation 2 providers perceptions of fit. Aim 3 will evaluate whether Generation 2 providers perceived fit mediates the relation between TranS-C treatment condition and patient outcomes. Exploratory analyses will (1) evaluate whether the effectiveness of TranS-C for patient outcomes is moderated by generation, (2) compare Adapted and Standard TranS-C on patient perceptions of credibility/improvement and PhenX Toolkit outcomes (e.g., substance use, suicidality), and (3) evaluate other possible moderators. DISCUSSION: This trial has potential to (a) inform the process of embedding local trainers and supervisors to expand delivery of a promising transdiagnostic treatment for sleep and circadian dysfunction, (b) add to the growing body of TTT literature by evaluating TTT outcomes with a novel treatment and population, and (c) advance our understanding of providers perceptions of EBPT fit across TTT generations. TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT05805657 . Registered on April 10, 2023.
Published: 2023

105. Searching for Heavy Dark Matter near the Planck Mass with XENON1T

Author: Aprile, E., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Brookes, E. J., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Cardoso, J. M. R., Cichon, D., Chavez, A. P. Cimental, Clark, M., Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Pollmann, T. R., Qi, J., Qin, J., García, D. Ramírez, Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zhu, T.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: Multiple viable theoretical models predict heavy dark matter particles with a mass close to the Planck mass, a range relatively unexplored by current experimental measurements. We use 219.4 days of data collected with the XENON1T experiment to conduct a blind search for signals from Multiply-Interacting Massive Particles (MIMPs). Their unique track signature allows a targeted analysis with only 0.05 expected background events from muons. Following unblinding, we observe no signal candidate events. This work places strong constraints on spin-independent interactions of dark matter particles with a mass between 1$\times$10$^{12}\,$GeV/c$^2$ and 2$\times$10$^{17}\,$GeV/c$^2$. In addition, we present the first exclusion limits on spin-dependent MIMP-neutron and MIMP-proton cross-sections for dark matter particles with masses close to the Planck scale., Comment: 7 pages, 6 figures
Published: 2023
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106. Detector signal characterization with a Bayesian network in XENONnT

Author: XENON Collaboration, Aprile, E., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Brookes, E. J., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Cardoso, J. M. R., Cichon, D., Chavez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Pollmann, T. R., Qi, J., Qin, J., García, D. Ramírez, Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zhu, T.
Subjects: High Energy Physics - Experiment
Abstract: We developed a detector signal characterization model based on a Bayesian network trained on the waveform attributes generated by a dual-phase xenon time projection chamber. By performing inference on the model, we produced a quantitative metric of signal characterization and demonstrate that this metric can be used to determine whether a detector signal is sourced from a scintillation or an ionization process. We describe the method and its performance on electronic-recoil (ER) data taken during the first science run of the XENONnT dark matter experiment. We demonstrate the first use of a Bayesian network in a waveform-based analysis of detector signals. This method resulted in a 3% increase in ER event-selection efficiency with a simultaneously effective rejection of events outside of the region of interest. The findings of this analysis are consistent with the previous analysis from XENONnT, namely a background-only fit of the ER data., Comment: 11 pages, 8 figures
Published: 2023
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107. First Dark Matter Search with Nuclear Recoils from the XENONnT Experiment

Author: XENON Collaboration, Aprile, E., Abe, K., Agostini, F., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Brookes, E. J., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Cardoso, J. M. R., Cichon, D., Chavez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Peres, R., Peters, C., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Qi, J., Qin, J., García, D. Ramírez, Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zhu, T.
Subjects: High Energy Physics - Experiment, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, High Energy Physics - Phenomenology, Physics - Instrumentation and Detectors
Abstract: We report on the first search for nuclear recoils from dark matter in the form of weakly interacting massive particles (WIMPs) with the XENONnT experiment which is based on a two-phase time projection chamber with a sensitive liquid xenon mass of $5.9$ t. During the approximately 1.1 tonne-year exposure used for this search, the intrinsic $^{85}$Kr and $^{222}$Rn concentrations in the liquid target were reduced to unprecedentedly low levels, giving an electronic recoil background rate of $(15.8\pm1.3)~\mathrm{events}/(\mathrm{t\cdot y \cdot keV})$ in the region of interest. A blind analysis of nuclear recoil events with energies between $3.3$ keV and $60.5$ keV finds no significant excess. This leads to a minimum upper limit on the spin-independent WIMP-nucleon cross section of $2.58\times 10^{-47}~\mathrm{cm}^2$ for a WIMP mass of $28~\mathrm{GeV}/c^2$ at $90\%$ confidence level. Limits for spin-dependent interactions are also provided. Both the limit and the sensitivity for the full range of WIMP masses analyzed here improve on previous results obtained with the XENON1T experiment for the same exposure., Comment: Limit points are included in the submission file
Published: 2023
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108. Can Einstein (rings) surf Gravitational Waves?

Author: Giani, Leonardo, Howlett, Cullan, and Davis, Tamara M.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, General Relativity and Quantum Cosmology
Abstract: How does the appearance of a strongly lensed system change if a gravitational wave is produced by the lens? In this work we address this question by considering a supermassive black hole binary at the center of the lens emitting gravitational waves propagating either colinearly or orthogonally to the line of sight. Specializing to an Einstein ring configuration (where the source, the lens and the observer are aligned), we show that the gravitational wave induces changes on the ring's angular size and on the optical path of photons. The changes are the same for a given pair of antipodal points on the ring, but maximally different for any pair separated by $90^{\circ}$. For realistic lenses and binaries, we find that the change in the angular size of the Einstein ring is dozens of orders of magnitude smaller than the precision of current experiments. On the other hand, the difference in the optical path induced on a photon by a gravitational wave propagating \textit{orthogonally} to the line of sight triggers, at peak strain, time delays in the range $\sim 0.01 - 1$ seconds, making the chance of their detection (and thus the use of Einstein rings as gravitational wave detectors) less hopeless., Comment: v2. Version accepted for publication in the Open Journal of Astrophysics. 8 pages, four figures. Comments are welcome!
Published: 2023
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109. Exploring binary black hole mergers and host galaxies with Shark and COMPAS

Author: Rauf, Liana, Howlett, Cullan, Davis, Tamara M., and Lagos, Claudia D. P.
Subjects: Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We explore the connection between the gravitational wave (GW) merger rates of stellar-mass binary black holes (BBH) and galaxy properties. We do this by generating populations of stars using the binary population synthesis code COMPAS and evolving them in galaxies from the semi-analytic galaxy formation model Shark, to determine the number of mergers occurring in each simulation time-step. We find that metal-rich and massive galaxies with star formation rate (SFR) greater than $1M_{\odot}/ \rm yr$ are 10 times more likely to have GW events compared to younger, less massive and metal poor galaxies. Our simulation with the default input parameters predicts a higher local merger rate density compared to the third GW transient catalogue (GWTC-3) prediction from LIGO, VIRGO and KAGRA, due to short coalescence times, low metallicities and a high SFR at low redshift in the simulation, which produces more BBHs that merge within the age of the Universe compared to observations. We identify alternate remnant mass models that more accurately reproduce the volumetric rate and provide updated fits to the merger rate as a function of redshift. We then investigate the relative fraction of GW events in our simulation that are in observable host galaxies from upcoming galaxy surveys, determining which of those are ideal for tracing host galaxies with high merger rates. The implications of this work can be utilised for constraining stellar evolution models, better informing follow-up programs, and placing informative priors on host galaxies when measuring cosmological parameters such as the Hubble constant., Comment: 20 pages, 16 figures - Accepted by MNRAS
Published: 2023
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110. Vitamin K Antagonist Use and Level of Anticoagulation Control Among Patients at a Tertiary Hospital in Northern Tanzania

Author: Sarah K. Gharib MMed, Abid M. Sadiq MMed, Faryal M. Raza MMed, Sophia S. Muhali MMed, Annette A. Marandu MMed, Norman J. Kyala MMed, Eliasa K. Ndale MMed, Venance P. Maro MMed, William P. Howlett PhD, Elifuraha W. Mkwizu MMed, Nyasatu G. Chamba PhD, Furaha S. Lyamuya MMed, Elichilia R. Shao MMed, and Kajiru G. Kilonzo MPhil
Subjects: Diseases of the circulatory (Cardiovascular) system, RC666-701, Therapeutics. Pharmacology, RM1-950
Abstract: Background Vitamin K antagonists (VKA) continue to be the principal anticoagulants for both the treatment and prevention of venous thromboembolism. The use of VKA often requires regular monitoring to avoid over-anticoagulation and prevent thromboembolic complications. The aim was to determine the indication for VKA use and factors associated with suboptimal anticoagulation control among patients in northern Tanzania. Methods This was a retrospective cohort study that examined the anticoagulation data of patients on long-term VKA from 1 st January 2020 to 31 st December 2022. Eligible participants were those on VKAs for at least 7 days and with at least 3 international normalized ratio (INR) results. The level of anticoagulation control was determined through the calculation of the time-in-therapeutic range (TiTR) using the Rosendaal and the percent of INR in therapeutic range methods. Results TiTR was found to be 17% using the direct method and 16% using the Rosendaal formula. 102 tests out of 365 were within the target range (28%). Absence of health insurance (aRR: 1.24, 95% CI: 1.06-1.44, P = .007), alcohol consumption (aRR: 1.37, 95% CI: 1.15-1.62, P
Published: 2025
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111. Energetic activity for depression in young people aged 13–17 years: the READY feasibility RCT

Author: Megan Smith, Ryan James, Neil Howlett, Silvana Mengoni, Julia Jones, Erika Sims, David Turner, Kelly Grant, Allan Clark, Jamie Murdoch, Lindsay Bottoms, Jonathan Wilson, Shivani Sharma, Angel Chater, Cecile Guillard, Timothy Clarke, Andy Jones, Lee David, Solange Wyatt, Claire Rourke, David Wellsted, and Daksha Trivedi
Subjects: depression, low mood, young people, exercise, physical activity, behaviour change, feasibility randomised controlled trial, Medical technology, R855-855.5
Abstract: Background Prevalence of depression is increasing in young people. Behaviour change interventions providing benefits equal to or greater than talking therapies or pharmacological alternatives are needed. Exercise could be beneficial for young people with depression, but we lack robust trials of its effectiveness. Objective To test whether an exercise intervention targeting young people with depression is feasible, including recruitment and retention of young people, recruitment and training of exercise professionals and intervention delivery. Design Three-arm cluster feasibility randomised controlled trial with embedded process evaluation and health economic data collection. Setting Local community venues in Hertfordshire, Bedfordshire and Norfolk. Participants Young people aged 13–17 years experiencing mild to moderate low mood or depression (indicated by scoring 17–36 on the Child Depression Inventory version 2) identified by mental health services, schools or self-referral. Interventions Participants were randomised to one of three groups: high-intensity exercise, low-intensity exercise or a social activity control. Group sessions ran twice-weekly for 12 weeks delivered by registered exercise professionals, supported by mental health support workers. Main outcome measures Referral, recruitment and retention rates; attendance at group sessions; adherence to and ability to reach intensity during exercise sessions; proportions of missing data, and adverse events measured at baseline and at 3 and 6 months; resource use; and reach and representativeness. Results Of 321 referrals to the study, 173 were assessed for eligibility, and of the target sample size of 81, 15 were recruited and 14 were randomised (one withdrew). The retention rate was 71.4% and attendance at intervention sessions was > 67%; data completeness was > 80% for baseline assessments. Follow-up completion rate at 14 weeks was > 80% for most outcomes, with 50% for accelerometer data in the low-intensity group. Trial processes and the intervention were acceptable to young people. Barriers to and facilitators of intervention delivery were identified. Limitations Findings highlighted challenges around recruitment, delivery of exercise interventions and informed ways of addressing barriers to recruitment for future studies. The study was conducted between October 2020 and August 2022 and consequently the COVID-19 pandemic had a disruptive impact on implementation. Conclusions A large randomised trial of the effectiveness of the intervention is not feasible using the current study design, but issues relating to recruitment could be addressed with further work. Future work Developing appropriate recruitment strategies via triage services, general practitioner practices, schools and social media and early engagement with the local Clinical Research Network to support recruitment to the study would address the significant shortfalls identified. Young people who are deemed unsuitable for mental health services should be followed up to be offered participation in such interventions. Collaborations between the NHS services and sports delivery partners should consider in-person contact with young people rather than remote consultations. Recruiting through general practitioner practices is effective and relatively inexpensive. The role of community engagement (socialmedia, public health agencies, community groups) needs to be further explored. Strong public and patient involvement and engagement via young people advisory groups is important to ensure that research is relevant to young people. Funding This article presents independent research funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme as award number 17/78/10. Plain language summary Depression in adolescents is a serious problem that can lead to poor mental health and stigma throughout a person’s life. Antidepressants help some people but can have negative side effects. Research shows that adults with depression benefit from exercise, but it is unknown whether exercise is helpful for young people who are depressed. We wanted to find out whether it is possible to conduct a study examining the effect of exercise on depression in young people. We recruited young people aged 13–17 years, diagnosed with depression, from three locations in the UK. Those suitable for exercise participated in one of three groups: (1) high-intensity exercise (e.g. circuit training), (2) low-intensity exercise (e.g. chair based) or (3) social activity (non-exercise-based activities, e.g. quizzes and board games). Young people attended two 60-minute sessions per week for 12 weeks at local centres. Researchers collected data on mental health, session attendance and physical activity at the first session and at 14 and 26 weeks. We also asked some young people and staff about their experience in the study. Fourteen young people took part, mostly completing the study in full. Over two-thirds of sessions were attended, and over 80% of questionnaires were completed. We found that this study was acceptable to young people and to staff delivering the sessions. The small number of participants highlights the difficulties faced during the COVID-19 pandemic and reflects the challenges in reaching young people living with depression. We concluded that it is not possible to do a larger study with the current study design without finding out how to more effectively engage with young people with low mood. Nevertheless, by talking to members of the public (e.g. young people and their parents/carers), providing exercise and social activity sessions in-person instead of online, and engaging with NHS and sports organisations, we believe that young people could be encouraged to take part in future studies of this type.
Published: 2024
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112. Metabolic Syndrome and Associated Factors Among People Living With HIV on Dolutegravir-Based Antiretroviral Therapy in Northern Tanzania

Author: Tumaini E. Mirai MD, MMed, Kajiru G. Kilonzo MD, MMed, Mphil, Abid M. Sadiq MD, MMed, Ibrahim Ali Ibrahim Muhina MD, MMed, Norman J. Kyala MD, MMed, Annette A. Marandu MD, MMed, Sarah K. Gharib MD, MMed, Andrea R. Costantine MD, MMed, Elifuraha W. Mkwizu MD, MMed, William P. Howlett MD, MSc, PhD, Elichilia R. Shao MD, MMed, Gissela B. Nyakunga MD, MMed, Huda F. Akrabi MBBS, MMed, Vibhu R. Kshettry MD, Venance P. Maro MD, MMed, Nyasatu G. Chamba MD, MMed, PhD, and Furaha S. Lyamuya MD, MMed
Subjects: Diseases of the genitourinary system. Urology, RC870-923
Abstract: Purpose Chronic systemic inflammation from human immunodeficiency virus (HIV) may cause metabolic abnormalities in lipid metabolism. Additionally, the development of metabolic syndrome has been associated with specific anti-retroviral therapy, particularly dolutegravir. This study aimed to determine the prevalence and associated factors of metabolic syndrome among people living with HIV on dolutegravir-based anti-retroviral therapy. Methods This was an analytical cross-sectional study conducted between October 1, 2022, and March 31, 2023, among 312 people living with HIV. A structured questionnaire was used to collect socio-demographic and clinical characteristics including anthropometric indices and a blood pressure reading. A blood sample was collected to measure plasma glucose levels and serum lipid levels. The outcome being metabolic syndrome, odds ratios were evaluated using logistic regression analysis, and a P -value of 300 000 Tanzanian shillings per month (aOR: 2.15; 95% CI: 1.07–4.32; P = .032). Conclusion The prevalence of metabolic syndrome among patients on dolutegravir-based therapy is high. There is a need to adhere to routine screening of metabolic syndrome among people living with HIV on dolutegravir-based anti-retroviral therapy.
Published: 2024
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113. Sex steroid hormones and atrial electrophysiology: Vive la difference!

Author: Elise S. Bisset and Susan E. Howlett
Subjects: Diseases of the circulatory (Cardiovascular) system, RC666-701
Published: 2024
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114. Enhancing performance and sustainability of lithium manganese oxide cathodes with a poly(ionic liquid) binder and ionic liquid electrolyte

Author: Ana Clara Rolandi, Nerea Casado, Anthony Somers, Iratxe de Meatza, David Mecerreyes, Cristina Pozo-Gonzalo, Patrick C. Howlett, Robert Kerr, and Maria Forsyth
Subjects: Lithium manganese oxide, Poly(diallyldimethylammonium), Water-soluble binder, Ionic liquid electrolyte, Long-term cycling stability, Functional binders, Industrial electrochemistry, TP250-261, Electric apparatus and materials. Electric circuits. Electric networks, TK452-454.4
Abstract: Current battery production involves various energy intensive processes and the use of volatile, flammable and/or toxic chemicals. This study explores the potential for using a water-soluble and functional binder, poly(diallyldimethylammonium) (PDADMA) with diethyl phosphate (DEP) as a counter anion, for lithium manganese oxide (LMO) cathodes. By replacing the traditional polyvinylidene fluoride (PVDF) binder and its associated toxic N-methyl-2-pyrrolidone (NMP) solvent, PDADMA-DEP offers a more sustainable and cost-effective solution. Notably, PDADMA-DEP electrodes do not require high-temperature calendaring to achieve high performance unlike PVDF electrodes. X-ray Photoelectron Spectroscopy (XPS) indicated significant interactions between the binder and LMO that enhance stability and ion conduction. The PDADMA-DEP binder demonstrated excellent electrochemical rate capability up to 10C with the conventional organic liquid electrolyte (LP30), outperforming PVDF electrodes. The performance of both binders using a safer and non-volatile ionic liquid electrolyte, specifically 50 mol% LiFSI in N-trimethyl-N-propylammonium bis(fluorosulfonyl)imide, was also investigated to enhance the overall safety and environmental impact of the battery system. IL-based cells utilizing a PDADMA-DEP cathode binder demonstrated a 58 % capacity retention over 500 cycles at 0.5C when cycled at room temperature.
Published: 2024
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115. Moolawang Ngayagang Yanba: Developing Relationships with Lake Illawarra

Author: Jade Kennedy, Catherine Howlett, Michelle Voyer, and Monica Seini
Subjects: Aboriginal knowledge, environmental decision-making processes, Lake Illawarra, relational ethos, reflexive governance, Law
Abstract: This paper offers an example of how Indigenous knowledges can be integrated into governance within an Australian context. The research is part of an international collaborative project seeking demonstrable examples of the potential for effective integration of Indigenous knowledge into land and marine based planning processes, and environmental decision-making. In the main, the integration of Indigenous knowledge has been tokenistic, or for the purposes of appropriation, making Indigenous peoples reluctant to share their knowledge. Aware of the risks, the authors introduce an Australian based case study of a program with prodigious potential. Moolawang Ngayagang Yanba is a knowledge informed program delivered in place, on the shores of Lake Illawarra, New South Wales. Government employees, planners, scientists, environmentalists, and community members already involved with the Lake engaged in this Aboriginal based knowledge program. The aim was to introduce to participants a relational and generative way of knowing; an ethos that has the potential to inform future decision-making in relation to the Lake. Participants were encouraged to develop a relationship with, and recognise their personal and professional responsibilities to the Lake. This paper explains the Moolawang program and the Aboriginal knowledge that underpins it; Maramal, a place-based philosophy, articulating an interconnected set of frameworks for identifying with an Aboriginal worldview. We acknowledge this generously shared knowledge system is specific to Place, yet we conclude it provides principles, protocols and customs that have transferable potential to decision-making processes outside of the Illawarra, to other parts of Australia, and perhaps internationally.
Published: 2024
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116. Assessing social anhedonia in a transdiagnostic sample: Insights from a computational psychiatry lens.

Author: Katia M. Harlé, Danielle N. Dun, Andrea D. Spadoni, Jonathon R. Howlett, and Alan N. Simmons
Subjects: Social anhedonia, Social reinforcement learning, Anhedonia, Social connectedness, Anxiety, Mental healing, RZ400-408, Psychiatry, RC435-571
Abstract: Anhedonia, a reduced ability to experience positive affect and seek rewards, is present across many psychiatric disorders, notably among individuals who experienced trauma. Within the social domain, anhedonia manifests as an altered sense of belonging and social isolation and is associated with poorer clinical outcomes. Yet, mechanistic operationalizations of social anhedonia are lacking, limiting our understanding of the relationship between these mechanisms and affective symptoms. To address these questions, we developed a social reward exploration task which was administered to a transdiagnostic sample of trauma-exposed Veterans (N = 33) while they underwent functional magnetic resonance imaging. The goal was to maximize compliments from two unknown partners, as participants were told these partners selected compliments based on seeing their picture. A Bayesian reinforcement learning modeling approach was used to extract cognitive and neural markers of compliment (reward) exploration. To address these questions, we developed a social reward exploration task which was administered to a transdiagnostic sample of trauma-exposed Veterans (N = 33) while they underwent functional magnetic resonance imaging. The goal was to maximize compliments from two unknown partners, as participants were told these partners selected compliments based on seeing their picture. A Bayesian reinforcement learning modeling approach was used to extract cognitive and neural markers of compliment (reward) exploration. Higher social connectedness (β = 0.51; 95 % CI=[0.11,0.94]) and anxiety (β = 0.57; 95 % CI=[0.13,1.00]) were independently associated with more model-based choices of the partner they anticipated to be most complimenting. In the dorsal anterior cingulate cortex (ACC; z = 3.89, p .001) and left inferior parietal lobule (z = 3.96, p .001), neural responses to reward prediction errors (RPE) were more positive in response to compliment relative to non-compliment outcomes. Greater positive RPE ACC activation was associated with lower anxiety (β = −0.51; 95 % CI=[−0.99,−0.10]. Computational approaches to social reinforcement learning can help identify important neurocognitive differences in social reward sensitivity among individuals with complex affective profiles, such as trauma-exposed individuals. Understanding these differences may help develop new prediction and treatment tools for social anhedonia.
Published: 2024
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117. A rare cause of atypical facial pain

Author: Suzannah Hall, Kevin Michell, and David Howlett
Subjects: Medicine
Abstract: This case illustrates a rare cause of facial pain due to glossopharyngeal neuralgia in a 66-year-old male patient. Imaging confirmed an aneurysm of the cervical internal carotid artery as the cause; the aneurysm itself, likely secondary to an elongated styloid process (Eagle's syndrome). The imaging findings and management options are discussed below.
Published: 2024
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118. Heart Failure With Preserved Ejection Fraction in the Elderly Population: Basic Mechanisms and Clinical Considerations

Author: Gharagozloo, Kimia, Mehdizadeh, Mozhdeh, Heckman, George, Rose, Robert A., Howlett, Jonathan, Howlett, Susan E., and Nattel, Stanley
Published: 2024
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119. Cross-correlating radial peculiar velocities and CMB lensing convergence

Author: Giani, Leonardo, Howlett, Cullan, Ruggeri, Rossana, Bianchini, Federico, Said, Khaled, and Davis, Tamara M.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, General Relativity and Quantum Cosmology
Abstract: We study, for the first time, the cross correlation between the angular distribution of radial peculiar velocities (PV) and the lensing convergence of cosmic microwave background (CMB) photons. We derive theoretical expectations for the signal and its covariance and assess its detectability with existing and forthcoming surveys. We find that such cross-correlations are expected to improve constraints on different gravitational models by partially breaking degeneracies with the matter density. We identify in the distance-scaling dispersion of the peculiar velocities the most relevant source of noise in the cross correlation. For this reason, we also study how the above picture changes assuming a redshift-independent scatter for the PV, obtained for example using a reconstruction technique. Our results show that the cross correlation might be detected in the near future combining PV measurements from DESI and the convergence map from CMB-S4. Using realistic direct PV measurements we predict a cumulative signal-to-noise ratio of approximately $3.8 \sigma$ using data on angular scales $3 \leq \ell \leq 200$. For an idealized reconstructed peculiar velocity map extending up to redshift $z=0.15$ and a smoothing scale of $4$ Mpc $h^{-1}$ we predict a cumulative signal-to-noise ratio of approximately $ 27 \sigma$ from angular scales $3 \leq \ell \leq200 $. We conclude that currently reconstructed peculiar velocities have more constraining power than directly observed ones, even though they are more cosmological-model dependent., Comment: v2, minor changes to match the published version. two figures added. Comments are welcome!
Published: 2023
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120. Gastrointestinal tract involvement in systemic sclerosis: The roles of diet and the microbiome.

Author: Nguyen, Audrey D, Andréasson, Kristofer, McMahan, Zsuzsanna H, Bukiri, Heather, Howlett, Natalie, Lagishetty, Venu, Lee, Sungeun Melanie, Jacobs, Jonathan P, and Volkmann, Elizabeth R
Subjects: Humans, Gastrointestinal Diseases, Scleroderma, Systemic, Monosaccharides, Oligosaccharides, Disaccharides, RNA, Ribosomal, 16S, Diet, Phylogeny, Female, Male, Microbiota, FODMAP diet, Gastrointestinal microbiome, Systemic sclerosis, nutrition, Autoimmune Disease, Clinical Research, Rare Diseases, Digestive Diseases, Scleroderma, Nutrition, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Clinical Sciences, Public Health and Health Services, Arthritis & Rheumatology
Abstract: BackgroundAlterations in gastrointestinal (GI) microbial composition have been reported in patients with systemic sclerosis (SSc). However, it is unclear to what degree these alterations and/or dietary changes contribute to the SSc-GI phenotype.ObjectivesOur study aimed to 1) evaluate the relationship between GI microbial composition and SSc-GI symptoms, and 2) compare GI symptoms and GI microbial composition between SSc patients adhering to a low versus non-low fermentable oligosaccharides, disaccharides, monosaccharides, and polyols (FODMAP) diet.MethodsAdult SSc patients were consecutively recruited to provide stool specimens for bacterial 16S rRNA gene sequencing. Patients completed the UCLA Scleroderma Clinical Trial Consortium Gastrointestinal Tract Instrument (GIT 2.0) and the Diet History Questionnaire (DHQ) II and were classified as adhering to a low or non-low FODMAP diet. GI microbial differences were assessed using three metrics of alpha diversity (species richness, evenness, and phylogenetic diversity), as well as beta diversity (overall microbial composition). Differential abundance analysis was performed to identify specific genera associated with SSc-GI phenotype and low versus non-low FODMAP diet.ResultsOf the 66 total SSc patients included, the majority were women (n = 56) with a mean disease duration of 9.6 years. Thirty-five participants completed the DHQ II. Increased severity of GI symptoms (total GIT 2.0 score) was associated with decreased species diversity and differences in GI microbial composition. Specifically, pathobiont genera (e.g., Klebsiella and Enterococcus) were significantly more abundant in patients with increased GI symptom severity. When comparing low (N = 19) versus non-low (N = 16) FODMAP groups, there were no significant differences in GI symptom severity or in alpha and beta diversity. Compared with the low FODMAP group, the non-low FODMAP group had greater abundance of the pathobiont Enterococcus.ConclusionSSc patients reporting more severe GI symptoms exhibited GI microbial dysbiosis characterized by less species diversity and alterations in microbial composition. A low FODMAP diet was not associated with significant alterations in GI microbial composition or reduced SSc-GI symptoms; however, randomized controlled trials are needed to evaluate the impact of specific diets on GI symptoms in SSc.
Published: 2023

121. ONC201 in combination with paxalisib for the treatment of H3K27-altered diffuse midline glioma.

Author: Jackson, Evangeline, Duchatel, Ryan, Staudt, Dilana, Persson, Mika, Mannan, Abdul, Yadavilli, Sridevi, Parackal, Sarah, Game, Shaye, Chong, Wai, Jayasekara, W, Le Grand, Marion, Kearney, Padraic, Douglas, Alicia, Findlay, Izac, Germon, Zacary, McEwen, Holly, Beitaki, Tyrone, Patabendige, Adjanie, Skerrett-Byrne, David, Nixon, Brett, Smith, Nathan, Day, Bryan, Manoharan, Neevika, Nagabushan, Sumanth, Hansford, Jordan, Govender, Dinisha, McCowage, Geoffrey, Firestein, Ron, Howlett, Meegan, Endersby, Raelene, Gottardo, Nicholas, Alvaro, Frank, Larsen, Martin, Colino-Sanguino, Yolanda, Valdés-Mora, Fatima, Rakotomalala, Andria, Meignan, Samuel, Pasquier, Eddy, Andre, Nicolas, Hulleman, Esther, Eisenstat, David, Vitanza, Nicholas, Nazarian, Javad, Koschmann, Carl, Mueller, Sabine, Cain, Jason, Dun, Matthew, and Waszak, Sebastian
Abstract: Diffuse midline gliomas (DMG), including diffuse intrinsic pontine gliomas (DIPGs), are the most lethal of childhood cancers. Palliative radiotherapy is the only established treatment, with median patient survival of 9-11 months. ONC201 is a DRD2 antagonist and ClpP agonist that has shown preclinical and emerging clinical efficacy in DMG. However, further work is needed to identify the mechanisms of response of DIPGs to ONC201 treatment and to determine whether recurring genomic features influence response. Using a systems-biological approach, we showed that ONC201 elicits potent agonism of the mitochondrial protease ClpP to drive proteolysis of electron transport chain and tricarboxylic acid cycle proteins. DIPGs harboring PIK3CA-mutations showed increased sensitivity to ONC201, while those harboring TP53-mutations were more resistant. Metabolic adaptation and reduced sensitivity to ONC201 was promoted by redox-activated PI3K/Akt signaling, which could be counteracted using the brain penetrant PI3K/Akt inhibitor, paxalisib. Together, these discoveries coupled with the powerful anti-DIPG/DMG pharmacokinetic and pharmacodynamic properties of ONC201 and paxalisib have provided the rationale for the ongoing DIPG/DMG phase II combination clinical trial NCT05009992.
Published: 2023

122. The Triggerless Data Acquisition System of the XENONnT Experiment

Author: Aprile, E., Aalbers, J., Abe, K., Agostini, F., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bellagamba, L., Biondi, R., Bismark, A., Brookes, E. J., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Cardoso, J. M. R., Cichon, D., Chavez, A. P. Cimental, Coderre, D., Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Peres, R., Peters, C., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Qi, J., Qin, J., García, D. Ramírez, Rocchetti, A., Sanchez, L., Sanchez-Lucas, P., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zerbo, S., Zhong, M., and Zhu, T.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: The XENONnT detector uses the latest and largest liquid xenon-based time projection chamber (TPC) operated by the XENON Collaboration, aimed at detecting Weakly Interacting Massive Particles and conducting other rare event searches. The XENONnT data acquisition (DAQ) system constitutes an upgraded and expanded version of the XENON1T DAQ system. For its operation, it relies predominantly on commercially available hardware accompanied by open-source and custom-developed software. The three constituent subsystems of the XENONnT detector, the TPC (main detector), muon veto, and the newly introduced neutron veto, are integrated into a single DAQ, and can be operated both independently and as a unified system. In total, the DAQ digitizes the signals of 698 photomultiplier tubes (PMTs), of which 253 from the top PMT array of the TPC are digitized twice, at $\times10$ and $\times0.5$ gain. The DAQ for the most part is a triggerless system, reading out and storing every signal that exceeds the digitization thresholds. Custom-developed software is used to process the acquired data, making it available within $\mathcal{O}\left(10\text{ s}\right)$ for live data quality monitoring and online analyses. The entire system with all the three subsystems was successfully commissioned and has been operating continuously, comfortably withstanding readout rates that exceed $\sim500$ MB/s during calibration. Livetime during normal operation exceeds $99\%$ and is $\sim90\%$ during most high-rate calibrations. The combined DAQ system has collected more than 2 PB of both calibration and science data during the commissioning of XENONnT and the first science run.
Published: 2022
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123. Low-energy Calibration of XENON1T with an Internal $^{37}$Ar Source

Author: Aprile, E., Abe, K., Agostini, F., Maouloud, S. Ahmed, Alfonsi, M., Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bellagamba, L., Biondi, R., Bismark, A., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Capelli, C., Cardoso, J. M. R., Cichon, D., Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Fulgione, W., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Peres, R., Peters, C., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Qi, J., Qin, J., García, D. Ramírez, Reichard, S., Rocchetti, A., Rupp, N., Sanchez, L., Sanchez-Lucas, P., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zerbo, S., Zhong, M., Zhu, T., Geppert, C., and Riemer, J.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: A low-energy electronic recoil calibration of XENON1T, a dual-phase xenon time projection chamber, with an internal $^{37}$Ar source was performed. This calibration source features a 35-day half-life and provides two mono-energetic lines at 2.82 keV and 0.27 keV. The photon yield and electron yield at 2.82 keV are measured to be (32.3$\pm$0.3) photons/keV and (40.6$\pm$0.5) electrons/keV, respectively, in agreement with other measurements and with NEST predictions. The electron yield at 0.27 keV is also measured and it is (68.0$^{+6.3}_{-3.7}$) electrons/keV. The $^{37}$Ar calibration confirms that the detector is well-understood in the energy region close to the detection threshold, with the 2.82 keV line reconstructed at (2.83$\pm$0.02) keV, which further validates the model used to interpret the low-energy electronic recoil excess previously reported by XENON1T. The ability to efficiently remove argon with cryogenic distillation after the calibration proves that $^{37}$Ar can be considered as a regular calibration source for multi-tonne xenon detectors.
Published: 2022
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124. WALLABY Pilot Survey: Public release of HI kinematic models for more than 100 galaxies from phase 1 of ASKAP pilot observations

Author: Deg, N., Spekkens, K., Westmeier, T., Reynolds, T. N., Venkataraman, P., Goliath, S., Shen, A. X., Halloran, R., Bosma, A., Catinella, B., de Blok, W. J. G., Dénes, H., Di Teodoro, E. M., Elagali, A., For, B. -Q., Howlett, C., Józsa, G. I. G., Kamphuis, P., Kleiner, D., Koribalski, B., Lee-Waddell, K., Lelli, F., Lin, X., Murugeshan, C., Oh, S., Rhee, J., Scott, T. C., Staveley-Smith, L., van der Hulst, J. M., Verdes-Montenegro, L., Wang, J., and Wong, O. I.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We present the Widefield ASKAP L-band Legacy All-sky Blind surveY (WALLABY) Pilot Phase I HI kinematic models. This first data release consists of HI observations of three fields in the direction of the Hydra and Norma clusters, and the NGC 4636 galaxy group. In this paper, we describe how we generate and publicly release flat-disk tilted-ring kinematic models for 109/592 unique HI detections in these fields. The modelling method adopted here - which we call the WALLABY Kinematic Analysis Proto-Pipeline (WKAPP) and for which the corresponding scripts are also publicly available - consists of combining results from the homogeneous application of the FAT and 3DBAROLO algorithms to the subset of 209 detections with sufficient resolution and S/N in order to generate optimized model parameters and uncertainties. The 109 models presented here tend to be gas rich detections resolved by at least 3-4 synthesized beams across their major axes, but there is no obvious environmental bias in the modelling. The data release described here is the first step towards the derivation of similar products for thousands of spatially-resolved WALLABY detections via a dedicated kinematic pipeline. Such a large publicly available and homogeneously analyzed dataset will be a powerful legacy product that that will enable a wide range of scientific studies., Comment: Accepted to PASA
Published: 2022
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125. WALLABY Pilot Survey: Public release of HI data for almost 600 galaxies from phase 1 of ASKAP pilot observations

Author: Westmeier, T., Deg, N., Spekkens, K., Reynolds, T. N., Shen, A. X., Gaudet, S., Goliath, S., Huynh, M. T., Venkataraman, P., Lin, X., O'Beirne, T., Catinella, B., Cortese, L., Dénes, H., Elagali, A., For, B. -Q., Józsa, G. I. G., Howlett, C., van der Hulst, J. M., Jurek, R. J., Kamphuis, P., Kilborn, V. A., Kleiner, D., Koribalski, B. S., Lee-Waddell, K., Murugeshan, C., Rhee, J., Serra, P., Shao, L., Staveley-Smith, L., Wang, J., Wong, O. I., Zwaan, M. A., Allison, J. R., Anderson, C. S., Ball, Lewis, Bock, D. C. -J., Brodrick, D., Bunton, J. D., Cooray, F. R., Gupta, N., Hayman, D. B., Mahony, E. K., Moss, V. A., Ng, A., Pearce, S. E., Raja, W., Roxby, D. N., Voronkov, M. A., Warhurst, K. A., Courtois, H. M., and Said, K.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We present WALLABY pilot data release 1, the first public release of HI pilot survey data from the Wide-field ASKAP L-band Legacy All-sky Blind Survey (WALLABY) on the Australian Square Kilometre Array Pathfinder. Phase 1 of the WALLABY pilot survey targeted three $60~{\rm deg}^2$ regions on the sky in the direction of the Hydra and Norma galaxy clusters and the NGC 4636 galaxy group, covering the redshift range of z < 0.08. The source catalogue, images and spectra of nearly 600 extragalactic HI detections and kinematic models for 109 spatially resolved galaxies are available. As the pilot survey targeted regions containing nearby group and cluster environments, the median redshift of the sample of z ~ 0.014 is relatively low compared to the full WALLABY survey. The median galaxy HI mass is $2.3 \times 10^{9}~M_{\odot}$. The target noise level of 1.6 mJy per $30''$ beam and 18.5 kHz channel translates into a $5\sigma$ HI mass sensitivity for point sources of about $5.2 \times 10^{8} \, (D_{\rm L} / \mathrm{100~Mpc})^{2} \, M_{\odot}$ across 50 spectral channels (~200 km/s) and a $5\sigma$ HI column density sensitivity of about $8.6 \times 10^{19} \, (1 + z)^{4}~\mathrm{cm}^{-2}$ across 5 channels (~20 km/s) for emission filling the $30''$ beam. As expected for a pilot survey, several technical issues and artefacts are still affecting the data quality. Most notably, there are systematic flux errors of up to several 10% caused by uncertainties about the exact size and shape of each of the primary beams as well as the presence of sidelobes due to the finite deconvolution threshold. In addition, artefacts such as residual continuum emission and bandpass ripples have affected some of the data. The pilot survey has been highly successful in uncovering such technical problems, most of which are expected to be addressed and rectified before the start of the full WALLABY survey., Comment: 24 pages, 13 figures, 5 tables, accepted for publication in PASA
Published: 2022
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126. Implementation of a national system for best practice delivery of paediatric infusions

Author: Howlett, Moninne M., Sutton, Sharon, McGrath, Eimear L., and Breatnach, Cormac V.
Published: 2024
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127. Temporality and the Analysis of Policy Processes

Author: Howlett, Michael and Goetz, Klaus H., book editor
Published: 2024
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128. Failure Where Alignment is Lacking: Type 26 Frigate Procurement Processes in Australia Versus Canada, 1990–2022

Author: Migone, Andrea, Howlett, Alexander, Howlett, Michael, Migone, Andrea, Howlett, Alexander, and Howlett, Michael
Published: 2023
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129. Conclusion: Lessons from Military Procurement for Procurement Studies

Author: Migone, Andrea, Howlett, Alexander, Howlett, Michael, Migone, Andrea, Howlett, Alexander, and Howlett, Michael
Published: 2023
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130. Analysis: Military Platform Procurement Strategies and the Need for Political and Doctrinal Alignment in Type 4 Purchases

Author: Migone, Andrea, Howlett, Alexander, Howlett, Michael, Migone, Andrea, Howlett, Alexander, and Howlett, Michael
Published: 2023
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131. The Significance of Politicization: The F-35 Joint Strike Fighter Procurement Processes in Canada and Australia, 2000–2022

Author: Migone, Andrea, Howlett, Alexander, Howlett, Michael, Migone, Andrea, Howlett, Alexander, and Howlett, Michael
Published: 2023
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132. Procuring Advanced Weapon Systems and Platforms: Four Types of Procurement Considered

Author: Migone, Andrea, Howlett, Alexander, Howlett, Michael, Migone, Andrea, Howlett, Alexander, and Howlett, Michael
Published: 2023
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133. Introduction: Procurement and Politics—The Defence Policy Consensus or Aligning Strategy and Policy Is Necessary But Not Automatic

Author: Migone, Andrea, Howlett, Alexander, Howlett, Michael, Migone, Andrea, Howlett, Alexander, and Howlett, Michael
Published: 2023
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134. Current philosophical perspectives on drug approval in the real world

Author: Landes Jürgen and Auker-Howlett Daniel J.
Subjects: drug approval, causal inference, randomised controlled trials, causation, evidence synthesis, 62d20, 62r07, 62a99, 60a99, 62c99, 62f15, Mathematics, QA1-939, Probabilities. Mathematical statistics, QA273-280
Abstract: The evidence-based medicine approach to causal medical inference is the dominant account among medical methodologists. Competing approaches originating in the philosophy of medicine seek to challenge this account. In order to see how successful these challenges are, we need to assess the performance of all approaches in real world medical inference. One important real world problem all approaches could be applied to is the assessment of drugs for approval by drug regulation agencies. This study assesses the success of the status quo against an empirical non-systematically obtained body of evidence and we scrutinise the alternative approaches from the armchair, contemplating how they would fare in the real world. We tentatively conclude that the status quo is regularly not successful at its primary task as it regularly fails to correctly assess effectiveness and safety and suggest that this is due to inherent factors of the “messy real world.” However, while all alternatives hold promise, they are at least as susceptible to the real world issues that beset the status quo. We also make recommendations for changes to current drug approval procedures, identify lacunae to fill in the alternatives, and finally, call for a continuation of the development of alternative approaches to causal medical inference and recommendations for changes to current drug approval procedures.
Published: 2024
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135. WALLABY Pre-Pilot and Pilot Survey: the Tully Fisher Relation in Eridanus, Hydra, Norma and NGC4636 fields

Author: Courtois, Hélène M., Said, Khaled, Mould, Jeremy, Jarrett, T. H., Pomarède, Daniel, Westmeier, Tobias, Staveley-Smith, Lister, Dupuy, Alexandra, Hong, Tao, Guinet, Daniel, Howlett, Cullan, Deg, Nathan, For, Bi-Qing, Kleiner, Dane, Koribalski, Bärbel, Lee-Waddell, Karen, Rhee, Jonghwan, Spekkens, Kristine, Wang, Jing, Wong, O. I., Bigiel, Frank, Bosma, Albert, Colless, Matthew, Davis, Tamara, Holwerda, Benne, Karachentsev, Igor, Kraan-Korteweg, Renée C., McQuinn, Kristen B. W., Meurer, Gerhardt, Obreschkow, Danail, and Taylor, Edward
Subjects: Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The WALLABY pilot survey has been conducted using the Australian SKA Pathfinder (ASKAP). The integrated 21-cm HI line spectra are formed in a very different manner compared to usual single-dish spectra Tully-Fisher measurements. It is thus extremely important to ensure that slight differences (e.g. biases due to missing flux) are quantified and understood in order to maximise the use of the large amount of data becoming available soon. This article is based on four fields for which the data are scientifically interesting by themselves. The pilot data discussed here consist of 614 galaxy spectra at a rest wavelength of 21cm. Of these spectra, 472 are of high enough quality to be used to potentially derive distances using the Tully-Fisher relation. We further restrict the sample to the 251 galaxies whose inclination is sufficiently close to edge-on. For these, we derive Tully-Fisher distances using the deprojected WALLABY velocity widths combined with infrared (WISE W1) magnitudes. The resulting Tully-Fisher distances for the Eridanus, Hydra, Norma and NGC 4636 clusters are 21.5, 53.5, 69.4 and 23.0 Mpc respectively, with uncertainties of 5--10\%, which are better or equivalent to the ones obtained in studies using data obtained with giant single dish telescopes. The pilot survey data show the benefits of WALLABY over previous giant single-dish telescope surveys. WALLABY is expected to detect around half a million galaxies with a mean redshift of $z = 0.05 (200 Mpc)$. This study suggests that about 200,000 Tully-Fisher distances might result from the survey., Comment: 21 pages, 12 Figures, 6 Tables, accepted for publication in the MNRAS
Published: 2022
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136. Effective Field Theory and Inelastic Dark Matter Results from XENON1T

Author: Aprile, E., Abe, K., Agostini, F., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bellagamba, L., Biondi, R., Bismark, A., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Cai, C., Capelli, C., Cardoso, J. M. R., Cichon, D., Clark, M., Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Di Giovanni, A., Di Stefano, R., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Fischer, H., Fulgione, W., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Manfredini, A., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Peres, R., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Qi, J., Qin, J., García, D. Ramírez, Reichard, S., Rocchetti, A., Rupp, N., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Wei, Y., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zhu, T.
Subjects: High Energy Physics - Experiment, High Energy Physics - Phenomenology
Abstract: In this work, we expand on the XENON1T nuclear recoil searches to study the individual signals of dark matter interactions from operators up to dimension-eight in a Chiral Effective Field Theory (ChEFT) and a model of inelastic dark matter (iDM). We analyze data from two science runs of the XENON1T detector totaling 1\,tonne$\times$year exposure. For these analyses, we extended the region of interest from [4.9, 40.9]$\,$keV$_{\text{NR}}$ to [4.9, 54.4]$\,$keV$_{\text{NR}}$ to enhance our sensitivity for signals that peak at nonzero energies. We show that the data is consistent with the background-only hypothesis, with a small background over-fluctuation observed peaking between 20 and 50$\,$keV$_{\text{NR}}$, resulting in a maximum local discovery significance of 1.7\,$\sigma$ for the Vector$\otimes$Vector$_{\text{strange}}$ ($VV_s$) ChEFT channel for a dark matter particle of 70$\,$GeV/c$^2$, and $1.8\,\sigma$ for an iDM particle of 50$\,$GeV/c$^2$ with a mass splitting of 100$\,$keV/c$^2$. For each model, we report 90\,\% confidence level (CL) upper limits. We also report upper limits on three benchmark models of dark matter interaction using ChEFT where we investigate the effect of isospin-breaking interactions. We observe rate-driven cancellations in regions of the isospin-breaking couplings, leading to up to 6 orders of magnitude weaker upper limits with respect to the isospin-conserving case.
Published: 2022

137. An approximate likelihood for nuclear recoil searches with XENON1T data

Author: Aprile, E., Abe, K., Agostini, F., Maouloud, S. Ahmed, Alfonsi, M., Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bellagamba, L., Biondi, R., Bismark, A., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Capelli, C., Cardoso, J. M. R., Cichon, D., Cimmino, B., Clark, M., Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Di Giovanni, A., Di Stefano, R., Diglio, S., Elykov, A., Farrell, S., Ferella, A. D., Fischer, H., Fulgione, W., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Higuera, A., Hils, C., Hoetzsch, L., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Manfredini, A., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Peres, R., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Qi, J., Qin, J., García, D. Ramírez, Reichard, S., Rocchetti, A., Rupp, N., Sanchez, L., Santos, J. M. F. dos, Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Wei, Y., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhang, Y., Zhong, M., and Zhu, T.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: The XENON collaboration has published stringent limits on specific dark matter -nucleon recoil spectra from dark matter recoiling on the liquid xenon detector target. In this paper, we present an approximate likelihood for the XENON1T 1 tonne-year nuclear recoil search applicable to any nuclear recoil spectrum. Alongside this paper, we publish data and code to compute upper limits using the method we present. The approximate likelihood is constructed in bins of reconstructed energy, profiled along the signal expectation in each bin. This approach can be used to compute an approximate likelihood and therefore most statistical results for any nuclear recoil spectrum. Computing approximate results with this method is approximately three orders of magnitude faster than the likelihood used in the original publications of XENON1T, where limits were set for specific families of recoil spectra. Using this same method, we include toy Monte Carlo simulation-derived binwise likelihoods for the upcoming XENONnT experiment that can similarly be used to assess the sensitivity to arbitrary nuclear recoil signatures in its eventual 20 tonne-year exposure., Comment: Accepted by European Physical Journal C
Published: 2022
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138. Cosmicflows-4

Author: Tully, R. Brent, Kourkchi, Ehsan, Courtois, Hélène M., Anand, Gagandeep S., Blakeslee, John P., Brout, Dillon, de Jaeger, Thomas, Dupuy, Alexandra, Guinet, Daniel, Howlett, Cullan, Jensen, Joseph B., Pomarède, Daniel, Rizzi, Luca, Rubin, David, Said, Khaled, Scolnic, Daniel, and Stahl, Benjamin E.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract: With Cosmicflows-4, distances are compiled for 55,877 galaxies gathered into 38,065 groups. Eight methodologies are employed, with the largest numbers coming from the correlations between the photometric and kinematic properties of spiral galaxies (TF) and elliptical galaxies (FP). Supernovae that arise from degenerate progenitors (type Ia Sne) are an important overlapping component. Smaller contributions come from distance estimates from the surface brightness fluctuations of elliptical galaxies and the luminosities and expansion rates of core collapse supernovae (SNII). Cepheid period-luminosity relation and tip of the red giant branch observations founded on local stellar parallax measurements along with the geometric maser distance to NGC 4258 provide the absolute scaling of distances. The assembly of galaxies into groups is an important feature of the study in facilitating overlaps between methodologies. Merging between multiple contributions within a methodology and between methodologies is carried out with Bayesian Markov chain Monte Carlo procedures. The final assembly of distances is compatible with a value of the Hubble constant of $H_0=74.6$ km s$^{-1}$ Mpc$^{-1}$ with the small statistical error of $\pm 0.8$ km s$^{-1}$ Mpc$^{-1}$ but a large potential systematic error of ~3 km s$^{-1}$ Mpc$^{-1}$. Peculiar velocities can be inferred from the measured distances. The interpretation of the field of peculiar velocities is complex because of large errors on individual components and invites analyses beyond the scope of this study., Comment: 38 pages, 24 figures. catalogs available at edd.ifa.hawaii.edu. Revised version, accepted to ApJ
Published: 2022
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139. Using peculiar velocity surveys to constrain the growth rate of structure with the wide-angle effect

Author: Lai, Yan, Howlett, Cullan, and Davis, Tamara M.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Amongst the most popular explanations for dark energy are modified theories of gravity. The galaxy overdensity and peculiar velocity fields help us to constrain the growth rate of structure and distinguish different models of gravity. We introduce an improved method for constraining the growth rate of structure with the galaxy overdensity and peculiar velocity fields. This method reduces the modelling systematic error by accounting for the wide-angle effect and the zero-point calibration uncertainty during the modelling process. We also speed up the posterior sampling by around 30 times by first calculating the likelihood at a small number of fiducial points and then interpolating the likelihood values during MCMC sampling. We test the new method on mocks and we find it is able to recover the fiducial growth rate of structure. We applied our new method to the SDSS PV catalogue, which is the largest single peculiar velocity catalogue to date. Our constraint on the growth rate of structure is $f\sigma_8 = 0.405_{-0.071}^{+0.076}$ (stat) $\pm 0.009$ (sys) at the effective redshift of 0.073. Our constraint is consistent with a Planck 2018 cosmological model, $f\sigma_8 = 0.448$, within one standard deviation. Our improved methodology will enable similar analysis on future data, with even larger sample sizes and covering larger angular areas on the sky., Comment: 18 pages, 11 figures and 2 tables. Accepted by MNRAS. You can find the code https://github.com/YanxiangL/Peculiar_velocity_fitting and data https://zenodo.org/record/6640513. Comments are welcome
Published: 2022
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140. HI HOD -- I. The Halo Occupation Distribution of HI Galaxies

Author: Qin, Fei, Howlett, Cullan, Stevens, Adam R. H., and Parkinson, David
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The next generation of galaxy surveys will provide more precise measurements of galaxy clustering than have previously been possible. The 21-cm radio signals that are emitted from neutral atomic hydrogen (HI) gas will be detected by large-area radio surveys such as WALLABY and the SKA, and deliver galaxy positions and velocities that can be used to measure galaxy clustering statistics. But, to harness this information to improve our cosmological understanding, and learn about the physics of dark matter and dark energy, we need to accurately model the manner in which galaxies detected in HI trace the underlying matter distribution of the Universe. For this purpose, we develop a new HI-based Halo Occupation Distribution (HOD) model, which makes predictions for the number of galaxies present in dark matter halos conditional on their HI mass. The parameterised HOD model is fit and validated using the Dark Sage semi-analytic model, where we show that the HOD parameters can be modelled by simple linear and quadratic functions of HI mass. However, we also find that the clustering predicted by the HOD depends sensitively on the radial distributions of the HI galaxies within their host dark matter halos, which does not follow the NFW profile in the Dark Sage simulation. As such, this work enables -- for the first time -- a simple prescription for placing galaxies of different HI mass within dark matter halos in a way that is able to reproduce the HI mass-dependent galaxy clustering and HI mass function simultaneously and without requiring knowledge of the optical properties of the galaxies. Further efforts are required to demonstrate that this model can be used to produce large ensembles of mock galaxy catalogues for upcoming surveys., Comment: 18 pages, 13 figures, 1 table. Published in ApJ
Published: 2022
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141. The DESI Survey Validation: Results from Visual Inspection of Bright Galaxies, Luminous Red Galaxies, and Emission Line Galaxies

Author: Lan, Ting-Wen, Tojeiro, R., Armengaud, E., Prochaska, J. Xavier, Davis, T. M., Alexander, David M., Raichoor, A., Zhou, Rongpu, Yeche, Christophe, Balland, C., BenZvi, S., Berti, A., Canning, R., Carr, A., Chittenden, H., Cole, S., Cousinou, M. -C., Dawson, K., Dey, Biprateep, Douglass, K., Edge, A., Escoffier, S., Glanville, A., Gontcho, S. Gontcho A, Guy, J., Hahn, C., Howlett, C., Hwang, Ho Seong, Jiang, L., Kovacs, A., Mezcua, M., Moore, S., Nadathur, S., Oh, M., Parkinson, D., Rocher, A., Ross, A. J., Ruhlmann-Kleider, V., Sabiu, C. G., Said, K., Saulder, C., Sierra-Porta, D., Weiner, B., Yu, J., Zarrouk, P., Zhang, Y., Zou, H., Ahlen, S., Bailey, S., Brooks, D., Cooper, A. P., de la Macorra, A., Dey, A., Dhungana, G., Doel, P., Eftekharzadeh, S., Fanning, K., Font-Ribera, A., Garrison, L., Gaztanaga, E., Kehoe, R., Kisner, T., Kremin, A., Landriau, M., Guillou, L. Le, Levi, Michael E., Magneville, C., Meisner, Aaron M., Miquel, R., Moustakas, J., Myers, Adam D., Newman, Jeffrey A., Nie, J. D., Palanque-Delabrouille, N., Percival, W. J., Poppett, C., Prada, F., Schubnell, M., Tarle, Gregory, Weaver, B. A., Zhang, K., and Zhou, Zhimin
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract: The Dark Energy Spectroscopic Instrument (DESI) Survey has obtained a set of spectroscopic measurements of galaxies to validate the final survey design and target selections. To assist in these tasks, we visually inspect (VI) DESI spectra of approximately 2,500 bright galaxies, 3,500 luminous red galaxies (LRGs), and 10,000 emission line galaxies (ELGs), to obtain robust redshift identifications. We then utilize the VI redshift information to characterize the performance of the DESI operation. Based on the VI catalogs, our results show that the final survey design yields samples of bright galaxies, LRGs, and ELGs with purity greater than $99\%$. Moreover, we demonstrate that the precision of the redshift measurements is approximately 10 km/s for bright galaxies and ELGs and approximately 40 km/s for LRGs. The average redshift accuracy is within 10 km/s for the three types of galaxies. The VI process also helps improve the quality of the DESI data by identifying spurious spectral features introduced by the pipeline. Finally, we show examples of unexpected real astronomical objects, such as Ly$\alpha$ emitters and strong lensing candidates, identified by VI. These results demonstrate the importance and utility of visually inspecting data from incoming and upcoming surveys, especially during their early operation phases., Comment: 22 pages, 14 figures, 3 tables, one of a suite of 8 papers detailing targeting for DESI. ApJ accepted version with minor textual updates
Published: 2022
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142. Preclinical Models of Frailty

Author: Mishra, Manish, Howlett, Susan E., Ruiz, Jorge G., editor, and Theou, Olga, editor
Published: 2024
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143. Studying the growth and morphology of metal microstructures in sodium metal batteries with ionic liquid electrolytes by operando 23Na NMR spectroscopy

Author: Gunathilaka, Isuru E., Ferdousi, Shammi A., Chen, Fangfang, Armand, Michel, Padua, Agilio A.H., Howlett, Patrick C., Forsyth, Maria, and O’Dell, Luke A.
Published: 2025
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144. New cultivars

Author: Nuanlaong, Sunya, Buono, Milan Del, Bramble, Howard, Falchi, Pietro, Eggen, Laurens, Howlett, Mike, Enriquez, Andrés Rodrigo Caldas, and Harvard University Botany Libraries
Published: 2022

145. Immunomodulatory therapy in children with paediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS, MIS-C; RECOVERY): a randomised, controlled, open-label, platform trial

Author: Faust, Saul N, Haynes, Richard, Jones, Christine E, Staplin, Natalie, Whittaker, Elizabeth, Jaki, Thomas, Juszczak, Ed, Spata, Enti, Wan, Mandy, Bamford, Alasdair, Dimitri, Paul, Finn, Adam, Furness, John, Ramanan, Athimalaipet V, Gale, Christopher, Cathie, Katrina, Drysdale, Simon, Bernatoniene, Jolanta, Murray, Clare, Roehr, Charles C, Fleming, Paul, Riordan, Andrew, Bandi, Srini, Jyothish, Deepthi, Evans, Jennifer, Emonts, Marieke, Kelly, Dominic, Pathan, Nazima, Davies, Patrick, Hague, Rosie, Pollock, Louisa, Semple, Malcolm G, Peto, Leon, Baillie, J Kenneth, Buch, Maya, Jeffery, Katie, Knight, Marian, Lim, Wei Shen, Montgomery, Alan, Mukherjee, Aparna, Mumford, Andrew, Rowan, Kathryn, Thwaites, Guy, Mafham, Marion, Emberson, Jonathan, Landray, Martin J, Horby, Peter W, Chappell, Lucy, Day, Jeremy, Dung, DV, Quang, NN, Binh, Prof, Burhan, E, Alisjahbana, B, Koirala, J, Basnet, S, Kestelyn, E, Basnyat, B, Gyanwali, P, Hamers, RL, Sandercock, P, Darbyshire, J, DeMets, D, Fowler, R, Lalloo, D, Munavvar, M, Roberts, I, Warris, A, Wittes, J, Craddock-Bamford, A, Barton, J, Basoglu, A, Brown, R, Brudlo, W, Denis, E, Fletcher, L, Howard, S, Musini, S, Taylor, K, Cui, G, Goodenough, B, King, A, Lay, M, Murray, D, Stevens, W, Wallendszus, K, Welsh, R, Crichton, C, Davies, J, Goldacre, R, Harper, C, Knight, F, Nunn, M, Salih, H, Welch, J, Campbell, M, Pessoa-Amorim, G, Zayed, M, Wiles, J, Bagley, G, Cameron, S, Chamberlain, S, Farrell, B, Freeman, H, Kennedy, A, Whitehouse, A, Wilkinson, S, Wood, C, Reith, C, Davies, K, Halls, H, Holland, L, Truell, R, Wilson, K, Lingwood, Emma, Howie, L, Lunn, M, Rodgers, Penelope, Amuasi, J, Baird, K, Bao, T, Bittaye, M, Bonney, J, D'Alessandro, U, Dhimal, M, Huyen, T, Jagne, A, Karkey, A, Maiga, O, Matey, E, Nadjm, B, Nel, J, Pant, S, Puspatriani, K, Rahardjani, M, Raijal, S, Rees, H, Rimainar, A, Roberts, C, Rocca, A, Shrestha, S, Usuf, E, Vidaillic, C, Wulandari, F, Alexander, A, Amezaga, M, Armah, C, Asghar, A, Aubrey, P, Barker-Williams, K, Barnard, A, Bartholomew, J, Beaumont-Jewell, D, Beddows, S, Beety, J, Birch, C, Boyle, P, Brend, M, Brookes, M, Callens, C, Campbell, D, Campbell, H, Cate, H, Chambers, E, Chapman, K, Coe, A, Collins, J, Crawshaw, S, Das, S, De Soyza, A, Denton, E, Dicks, P, Dolman, M, Donaldson, K, Dowden, L, Dowling, S, Drake, C, Duckles-Leech, H, Duffy, H, Gerdes, L, Gibbons, K, Gill, L, Gilmour, K, Goodwin, J, Graham, J, Green, C, Hall, C, Hall, A, Hampshire, K, Hanson, J, Harman, T, Harper, H, Harrison, S, Hicks, J, Hodgson, H, Hough, M, Jackson, S, Johnson, G, Kirk, J, Lemoine, N, Levett, C, Lock, S, Lockett, T, Logan, M, Lomme, K, Luo, J, McMillan, N, Membrey, H, Mguni, N, Minton, J, Monaghan, H, Murphy, S, Muzengi, N, Naz, M, Nickson, I, Odam, M, Ohia, U, Okell, E, Oliver, A, Pearson, K, Pine, K, Pleass, R, Porter, D, Porter, L, Potter, A, Poustie, V, Pratt, S, Price, A, Priest, A, Rodgers, A, Rook, C, Ryan, P, Sam, S, Sharratt, P, Sheffield, J, Shenton, J, Shirley, K, Skinner, T, Slade, H, Sutu, M, Taylor, J, Thomas, E, Tinkler, H, Unsworth, A, Usher, R, van't Hoff, W, Walker, S, Walters, J, Walton, E, Warmington, J, Wayman, E, Williams, P, Williamson, J, Williamson, D, Yelnoorkar, F, Knight, M, Hodson, K, Pavord, S, Williamson, C, Bowman, L, Chen, F, Clarke, R, Goonasekara, M, Herrington, W, Judge, P, Ng, S, Preiss, D, Sammons, E, Zhu, D, Arkley, C, Bowker, P, Bruce, J, Byrne-Watts, V, Chapman, G, Coleman, G, Denwood, T, Gray, J, Harrison, D, Mather, N, Pinches, H, Rees, A, Rees, S, Turner, G, Abani, O, Abbas, A, Abbas, F, Abbas, J, Abbas, K, Abbas, M, Abbasi, S, Abbass, H, Abbott, A, Abdallah, N, Abdelaziz, A, Abdelfattah, M, Abdelqader, B, Abdul, A, Abdul, B, Abdul, S, Abdul Rasheed, A, Abdulakeem, A, Abdul-Kadir, R, Abdullah, A, Abdulmumeen, A, Abdul-Raheem, R, Abdulshukkoor, N, Abdusamad, K, Abed El Khaleq, Y, Abedalla, M, Abeer Ul Amna, A, Abel, L, Abernethy, K, Abeywickrema, M, Abhinaya, C, Aboaba, A, Aboagye-Odei, A, Aboelela, H, Abo-Leyah, H, Abouelela, K, Abou-Haggar, A, Abouibrahim, M, Abousamra, A, Abouzaid, M, Abraham, M, Abraham, T, Abraheem, A, Abrams, J, Abrams, R, Abu, H, Abu-Arafeh, A, Abubacker, S, Abung, A, Abusamra, Y, Aceampong, Y, Achara, A, Acharya, D, Acheampong, S, Acheampong, P, Acheson, J, Achieng, S, Acosta, A, Acquah, R, Acton, C, Adabie-Ankrah, J, Adair, P, Adam, F, Adam, M, Adamali, H, Adamczyk, M, Adams, C, Adams, D, Adams, K, Adams, L, Adams, N, Adams, R, Adams, T, Adamu-Ikeme, L, Adati, K, Adcock, K, Addo, A, Adeagbo, O, Adebiyi, A, Adedeji, O, Adegeye, Y, Adegoke, K, Adell, V, Adenwalla, S, Adeoye, F, Adesemoye, O, Adewunmi, E, Adeyanju, A, Adeyemi, J, Adeyemo, T, Adhikary, R, Aditya, A, Adkins, G, Adnan, A, Aeron-Thomas, J, Affleck, D, Afnan, C, Afridi, M, Aftab, Z, Agarwal, M, Agbeko, R, Agbo, C, Aggarwal, S, Aghababaie, A, Aguilar Jimenez, L, Ahamed Sadiq, S, Ahammed Nazeer, M, Ahmed, A, Ahmed, B, Ahmed, F, Ahmed, H, Ahmed, I, Ahmed, K, Ahmed, L, Ahmad, M, Ahmed, N, Ahmed, O, Ahmed, R, Ahmad, S, Ahmed, S H, Ahmed Ali, R, Ahmed Mohamud, B, Ahmer, S, Ahonia, A, Aiken, C, Ail, D, Ainsworth, M, Aissa, M, Aitken, L, Ajay, B, Ajibode, A, Ajmi, A, Akhtar, N, Akili, S, Akinbiyi, B, Akindolie, O, Akinfenwa, Y, Akinkugbe, O, Akinpelu, I, Akram, M, Aktinade, O, Akudi, U, Al Aaraj, A, Al Balushi, A, Al Dakhola, M, Al Swaifi, A, Al-Abadi, E, Alabi, A, Aladangady, N, Alafifi, M, Alam, A, Alam, S, Al-Asadi, A, Alatzoglou, K, Albert, P, Albon, L, Alcala, A, Alcorn, G, Alcorn, S, Aldana, A, Alderdice, D, Aldesouki, A, Aldouri, R, Aldridge, J, Aldridge, N, Alegria, A, Alexander, C, Alexander, J, Alexander, P, Al-Fori, J, Alghazawi, L, Alhabsha, O, Al-Hakim, B, Alhameed, R, Al-Hayali, M, Al-Hity, S, Ali, A, Ali, F, Ali, J, Ali, M, Ali, N, Ali, O, Ali, R, Ali, S, Aliberti, E, Alin, J, Alina, A, Alipustain, A, Aliyuda, F, Alizaedeh, K, Al-Jibury, M, Al-Juboori, S, Al-Khalil, M, Alkhudhayri, A, Alkhusheh, M, Allan, F, Allan, N, Allanson, A, Allcock, R, Allen, E, Allen, J, Allen, K, Allen, 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Published: 2024
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146. Stratified analyses refine association between TLR7 rare variants and severe COVID-19

Author: Jannik Boos, Caspar I. van der Made, Gayatri Ramakrishnan, Eamon Coughlan, Rosanna Asselta, Britt-Sabina Löscher, Luca V.C. Valenti, Rafael de Cid, Luis Bujanda, Antonio Julià, Erola Pairo-Castineira, J. Kenneth Baillie, Sandra May, Berina Zametica, Julia Heggemann, Agustín Albillos, Jesus M. Banales, Jordi Barretina, Natalia Blay, Paolo Bonfanti, Maria Buti, Javier Fernandez, Sara Marsal, Daniele Prati, Luisa Ronzoni, Nicoletta Sacchi, Joachim L. Schultze, Olaf Riess, Andre Franke, Konrad Rawlik, David Ellinghaus, Alexander Hoischen, Axel Schmidt, Kerstin U. Ludwig, Valeria Rimoldi, Elvezia M. Paraboschi, Alessandra Bandera, Flora Peyvandi, Giacomo Grasselli, Francesco Blasi, Francesco Malvestiti, Serena Pelusi, Cristiana Bianco, Lorenzo Miano, Angela Lombardi, Pietro Invernizzi, Alessio Gerussi, Giuseppe Citerio, Andrea Biondi, Maria Grazia Valsecchi, Marina Elena Cazzaniga, Giuseppe Foti, Ilaria Beretta, Mariella D'Angiò, Laura Rachele Bettini, Xavier Farré, Susana Iraola-Guzmán, Manolis Kogevinas, Gemma Castaño-Vinyals, Koldo Garcia-Etxebarria, Beatriz Nafria, Mauro D'Amato, Adriana Palom, Colin Begg, Sara Clohisey, Charles Hinds, Peter Horby, Julian Knight, Lowell Ling, David Maslove, Danny McAuley, Johnny Millar, Hugh Montgomery, Alistair Nichol, Peter J.M. Openshaw, Alexandre C. Pereira, Chris P. Ponting, Kathy Rowan, Malcolm G. Semple, Manu Shankar-Hari, Charlotte Summers, Timothy Walsh, Latha Aravindan, Ruth Armstrong, Heather Biggs, Ceilia Boz, Adam Brown, Richard Clark, Audrey Coutts, Judy Coyle, Louise Cullum, Sukamal Das, Nicky Day, Lorna Donnelly, Esther Duncan, Angie Fawkes, Paul Fineran, Max Head Fourman, Anita Furlong, James Furniss, Bernadette Gallagher, Tammy Gilchrist, Ailsa Golightly, Fiona Griffiths, Katarzyna Hafezi, Debbie Hamilton, Ross Hendry, Andy Law, Dawn Law, Rachel Law, Sarah Law, Rebecca Lidstone-Scott, Louise Macgillivray, Alan Maclean, Hanning Mal, Sarah McCafferty, Ellie Mcmaster, Jen Meikle, Shona C. Moore, Kirstie Morrice, Lee Murphy, Sheena Murphy, Mybaya Hellen, Wilna Oosthuyzen, Chenqing Zheng, Jiantao Chen, Nick Parkinson, Trevor Paterson, Katherine Schon, Andrew Stenhouse, Mihaela Das, Maaike Swets, Helen Szoor-McElhinney, Filip Taneski, Lance Turtle, Tony Wackett, Mairi Ward, Jane Weaver, Nicola Wrobel, Marie Zechner, Gill Arbane, Aneta Bociek, Sara Campos, Neus Grau, Tim Owen Jones, Rosario Lim, Martina Marotti, Marlies Ostermann, Christopher Whitton, Zoe Alldis, Raine Astin-Chamberlain, Fatima Bibi, Jack Biddle, Sarah Blow, Matthew Bolton, Catherine Borra, Ruth Bowles, Maudrian Burton, Yasmin Choudhury, David Collier, Amber Cox, Amy Easthope, Patrizia Ebano, Stavros Fotiadis, Jana Gurasashvili, Rosslyn Halls, Pippa Hartridge, Delordson Kallon, Jamila Kassam, Ivone Lancoma-Malcolm, Maninderpal Matharu, Peter May, Oliver Mitchelmore, Tabitha Newman, Mital Patel, Jane Pheby, Irene Pinzuti, Zoe Prime, Oleksandra Prysyazhna, Julian Shiel, Melanie Taylor, Carey Tierney, Suzanne Wood, Anne Zak, Olivier Zongo, Stephen Bonner, Keith Hugill, Jessica Jones, Steven Liggett, Evie Headlam, Nageswar Bandla, Minnie Gellamucho, Michelle Davies, Christopher Thompson, Marwa Abdelrazik, Dhanalakshmi Bakthavatsalam, Munzir Elhassan, Arunkumar Ganesan, Anne Haldeos, Jeronimo Moreno-Cuesta, Dharam Purohit, Rachel Vincent, Kugan Xavier, Kumar Rohit, Frater Alasdair, Malik Saleem, Carter David, Jenkins Samuel, Zoe Lamond, Wall Alanna, Jaime Fernandez-Roman, David O. Hamilton, Emily Johnson, Brian Johnston, Maria Lopez Martinez, Suleman Mulla, David Shaw, Alicia A.C. Waite, Victoria Waugh, Ingeborg D. Welters, Karen Williams, Anna Cavazza, Maeve Cockrell, Eleanor Corcoran, Maria Depante, Clare Finney, Ellen Jerome, Mark McPhail, Monalisa Nayak, Harriet Noble, Kevin O'Reilly, Evita Pappa, Rohit Saha, Sian Saha, John Smith, Abigail Knighton, David Antcliffe, Dorota Banach, Stephen Brett, Phoebe Coghlan, Ziortza Fernandez, Anthony Gordon, Roceld Rojo, Sonia Sousa Arias, Maie Templeton, Megan Meredith, Lucy Morris, Lucy Ryan, Amy Clark, Julia Sampson, Cecilia Peters, Martin Dent, Margaret Langley, Saima Ashraf, Shuying Wei, Angela Andrew, Archana Bashyal, Neil Davidson, Paula Hutton, Stuart McKechnie, Jean Wilson, David Baptista, Rebecca Crowe, Rita Fernandes, Rosaleen Herdman-Grant, Anna Joseph, Denise O'Connor, Meryem Allen, Adam Loveridge, India McKenley, Eriko Morino, Andres Naranjo, Richard Simms, Kathryn Sollesta, Andrew Swain, Harish Venkatesh, Jacyntha Khera, Jonathan Fox, Gillian Andrew, Lucy Barclay, Marie Callaghan, Rachael Campbell, Sarah Clark, Dave Hope, Lucy Marshall, Corrienne McCulloch, Kate Briton, Jo Singleton, Sohphie Birch, Lutece Brimfield, Zoe Daly, David Pogson, Steve Rose, Ceri Battle, Elaine Brinkworth, Rachel Harford, Carl Murphy, Luke Newey, Tabitha Rees, Marie Williams, Sophie Arnold, Petra Polgarova, Katerina Stroud, Eoghan Meaney, Megan Jones, Anthony Ng, Shruti Agrawal, Nazima Pathan, Deborah White, Esther Daubney, Kay Elston, Lina Grauslyte, Musarat Hussain, Mandeep Phull, Tatiana Pogreban, Lace Rosaroso, Erika Salciute, George Franke, Joanna Wong, Aparna George, Laura Ortiz-Ruiz de Gordoa, Emily Peasgood, Claire Phillips, Michelle Bates, Jo Dasgin, Jaspret Gill, Annette Nilsson, James Scriven, Carlos Castro Delgado, Deborah Dawson, Lijun Ding, Georgia Durrant, Obiageri Ezeobu, Sarah Farnell-Ward, Abiola Harrison, Rebecca Kanu, Susannah Leaver, Elena Maccacari, Soumendu Manna, Romina Pepermans Saluzzio, Joana Queiroz, Tinashe Samakomva, Christine Sicat, Joana Texeira, Edna Fernandes Da Gloria, Ana Lisboa, John Rawlins, Jisha Mathew, Ashley Kinch, William James Hurt, Nirav Shah, Victoria Clark, Maria Thanasi, Nikki Yun, Kamal Patel, Sara Bennett, Emma Goodwin, Matthew Jackson, Alissa Kent, Clare Tibke, Wiesia Woodyatt, Ahmed Zaki, Azmerelda Abraheem, Peter Bamford, Kathryn Cawley, Charlie Dunmore, Maria Faulkner, Rumanah Girach, Helen Jeffrey, Rhianna Jones, Emily London, Imrun Nagra, Farah Nasir, Hannah Sainsbury, Clare Smedley, Tahera Patel, Matthew Smith, Srikanth Chukkambotla, Aayesha Kazi, Janice Hartley, Joseph Dykes, Muhammad Hijazi, Sarah Keith, Meherunnisa Khan, Janet Ryan-Smith, Philippa Springle, Jacqueline Thomas, Nick Truman, Samuel Saad, Dabheoc Coleman, Christopher Fine, Roseanna Matt, Bethan Gay, Jack Dalziel, Syamlan Ali, Drew Goodchild, Rhiannan Harling, Ravi Bhatterjee, Wendy Goddard, Chloe Davison, Stephen Duberly, Jeanette Hargreaves, Rachel Bolton, Miriam Davey, David Golden, Rebecca Seaman, Shiney Cherian, Sean Cutler, Anne Emma Heron, Anna Roynon-Reed, Tamas Szakmany, Gemma Williams, 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Krishnamurthy, Lai Lim, Li Lim, Edward Combes, Teishel Joefield, Sonja Monnery, Valerie Beech, Sallyanne Trotman, Christine Almaden-Boyle, Pauline Austin, Louise Cabrelli, Stephen Cole, Matt Casey, Susan Chapman, Clare Whyte, Yolanda Baird, Aaron Butler, Indra Chadbourn, Linda Folkes, Heather Fox, Amy Gardner, Raquel Gomez, Gillian Hobden, Luke Hodgson, Kirsten King, Michael Margarson, Tim Martindale, Emma Meadows, Dana Raynard, Yvette Thirlwall, David Helm, Jordi Margalef, Kristine Criste, Rebecca Cusack, Kim Golder, Hannah Golding, Oliver Jones, Samantha Leggett, Michelle Male, Martyna Marani, Kirsty Prager, Toran Williams, Belinda Roberts, Karen Salmon, Peter Anderson, Katie Archer, Karen Austin, Caroline Davis, Alison Durie, Olivia Kelsall, Jessica Thrush, Charlie Vigurs, Laura Wild, Hannah-Louise Wood, Helen Tranter, Alison Harrison, Nicholas Cowley, Michael McAlindon, Andrew Burtenshaw, Stephen Digby, Emma Low, Aled Morgan, Naiara Cother, Tobias Rankin, Sarah Clayton, Alex McCurdy, Cecilia Ahmed, Balvinder Baines, Sarah Clamp, Julie Colley, Risna Haq, Anne Hayes, Jonathan Hulme, Samia Hussain, Sibet Joseph, Rita Kumar, Zahira Maqsood, Manjit Purewal, Leonie Benham, Zena Bradshaw, Joanna Brown, Melanie Caswell, Jason Cupitt, Sarah Melling, Stephen Preston, Nicola Slawson, Emma Stoddard, Scott Warden, Bethan Deacon, Ceri Lynch, Carla Pothecary, Lisa Roche, Gwenllian Sera Howe, Jayaprakash Singh, Keri Turner, Hannah Ellis, Natalie Stroud, Jodie Hunt, Joy Dearden, Emma Dobson, Andy Drummond, Michelle Mulcahy, Sheila Munt, Grainne O'Connor, Jennifer Philbin, Chloe Rishton, Redmond Tully, Sarah Winnard, Susanne Cathcart, Katharine Duffy, Alex Puxty, Kathryn Puxty, Lynne Turner, Jane Ireland, Gary Semple, Kate Long, Simon Whiteley, Elizabeth Wilby, Bethan Ogg, Amanda Cowton, Andrea Kay, Melanie Kent, Kathryn Potts, Ami Wilkinson, Suzanne Campbell, Ellen Brown, Julie Melville, Jay Naisbitt, Rosane Joseph, Maria Lazo, Olivia Walton, Alan Neal, Peter Alexander, 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Gulati, Carole Hays, K. Webster, Anne Hudson, Andrea Webster, Elaine Stephenson, Louise McCormack, Victoria Slater, Rachel Nixon, Helen Hanson, Maggie Fearby, Sinead Kelly, Victoria Bridgett, Philip Robinson, Julie Camsooksai, Charlotte Humphrey, Sarah Jenkins, Henrik Reschreiter, Beverley Wadams, Yasmin Death, Victoria Bastion, Daphene Clarke, Beena David, Harriet Kent, Rachel Lorusso, Gamu Lubimbi, Sophie Murdoch, Melchizedek Penacerrada, Alastair Thomas, Jennifer Valentine, Ana Vochin, Retno Wulandari, Brice Djeugam, Gillian Bell, Katy English, Amro Katary, Louise Wilcox, Michelle Bruce, Karen Connolly, Tracy Duncan, Helen T-Michael, Gabriella Lindergard, Samuel Hey, Claire Fox, Jordan Alfonso, Laura Jayne Durrans, Jacinta Guerin, Bethan Blackledge, Jade Harris, Martin Hruska, Ayaa Eltayeb, Thomas Lamb, Tracey Hodgkiss, Lisa Cooper, Joanne Rothwell, Angela Allan, Felicity Anderson, Callum Kaye, Jade Liew, Jasmine Medhora, Teresa Scott, Erin Trumper, Adriana Botello, Liana Lankester, Nikitas Nikitas, Colin Wells, Bethan Stowe, Kayleigh Spencer, Craig Brandwood, Lara Smith, Katie Birchall, Laurel Kolakaluri, Deborah Baines, Anila Sukumaran, Elena Apetri, Cathrine Basikolo, Laura Catlow, Bethan Charles, Paul Dark, Reece Doonan, Alice Harvey, Daniel Horner, Karen Knowles, Stephanie Lee, Diane Lomas, Chloe Lyons, Tracy Marsden, Danielle McLaughlan, Liam McMorrow, Jessica Pendlebury, Jane Perez, Maria Poulaka, Nicola Proudfoot, Melanie Slaughter, Kathryn Slevin, Vicky Thomas, Danielle Walker, Angiy Michael, Matthew Collis, Tracey Cosier, Gemma Millen, Neil Richardson, Natasha Schumacher, Heather Weston, James Rand, Nicola Baxter, Steven Henderson, Sophie Kennedy-Hay, Christopher McParland, Laura Rooney, Malcolm Sim, Gordan McCreath, Louise Akeroyd, Shereen Bano, Matt Bromley, Lucy Gurr, Tom Lawton, James Morgan, Kirsten Sellick, Deborah Warren, Brian Wilkinson, Janet McGowan, Camilla Ledgard, Amelia Stacey, Kate Pye, Ruth Bellwood, Michael Bentley, Jeremy Bewley, Zoe Garland, Lisa Grimmer, Bethany Gumbrill, Rebekah Johnson, Katie Sweet, Denise Webster, Georgia Efford, Karen Convery, Deirdre Fottrell-Gould, Lisa Hudig, Jocelyn Keshet-Price, Georgina Randell, Katie Stammers, Maria Bokhari, Vanessa Linnett, Rachael Lucas, Wendy McCormick, Jenny Ritzema, Amanda Sanderson, Helen Wild, Anthony Rostron, Alistair Roy, Lindsey Woods, Sarah Cornell, Fiona Wakinshaw, Kimberley Rogerson, Jordan Jarmain, Robert Parker, Amie Reddy, Ian Turner-Bone, Laura Wilding, Peter Harding, Caroline Abernathy, Louise Foster, Andrew Gratrix, Vicky Martinson, Priyai Parkinson, Elizabeth Stones, Llucia Carbral-Ortega, Georgia Bercades, David Brealey, Ingrid Hass, Niall MacCallum, Gladys Martir, Eamon Raith, Anna Reyes, Deborah Smyth, Letizia Zitter, Sarah Benyon, Suzie Marriott, Linda Park, Samantha Keenan, Elizabeth Gordon, Helen Quinn, Kizzy Baines, Lenka Cagova, Adama Fofano, Lucie Garner, Helen Holcombe, Sue Mepham, Alice Michael Mitchell, Lucy Mwaura, Krithivasan Praman, Alain Vuylsteke, Julie Zamikula, Bally Purewal, Vanessa Rivers, Stephanie Bell, Hayley Blakemore, Borislava Borislavova, Beverley Faulkner, Emma Gendall, Elizabeth Goff, Kati Hayes, Matt Thomas, Ruth Worner, Kerry Smith, Deanna Stephens, Louise Mew, Esther Mwaura, Richard Stewart, Felicity Williams, Lynn Wren, Sara-Beth Sutherland, Emily Bevan, Jane Martin, Dawn Trodd, Geoff Watson, Caroline Wrey Brown, Amy Collins, Waqas Khaliq, Estefania Treus Gude, Olugbenga Akinkugbe, Alasdair Bamford, Emily Beech, Holly Belfield, Michael Bell, Charlene Davies, Gareth A.L. Jones, Tara McHugh, Hamza Meghari, Lauran O'Neill, Mark J. Peters, Samiran Ray, Ana Luisa Tomas, Iona Burn, Geraldine Hambrook, Katarina Manso, Ruth Penn, Pradeep Shanmugasundaram, Julie Tebbutt, Danielle Thornton, Jade Cole, Rhys Davies, Donna Duffin, Helen Hill, Ben Player, Emma Thomas, Angharad Williams, Denise Griffin, Nycola Muchenje, Mcdonald Mupudzi, Richard Partridge, Jo-Anna Conyngham, Rachel Thomas, Mary Wright, Maria Alvarez Corral, Reni Jacob, Cathy Jones, Craig Denmade, Sarah Beavis, Katie Dale, Rachel Gascoyne, Joanne Hawes, Kelly Pritchard, Lesley Stevenson, Amanda Whileman, Patricia Doble, Joanne Hutter, Corinne Pawley, Charmaine Shovelton, Marius Vaida, Deborah Butcher, Susie O'Sullivan, Nicola Butterworth-Cowin, Norfaizan Ahmad, Joann Barker, Kris Bauchmuller, Sarah Bird, Kay Cawthron, Kate Harrington, Yvonne Jackson, Faith Kibutu, Becky Lenagh, Shamiso Masuko, Gary H. Mills, Ajay Raithatha, Matthew Wiles, Jayne Willson, Helen Newell, Alison Lye, Lorenza Nwafor, Claire Jarman, Sarah Rowland-Jones, David Foote, Joby Cole, Roger Thompson, James Watson, Lisa Hesseldon, Irene Macharia, Luke Chetam, Jacqui Smith, Amber Ford, Samantha Anderson, Kathryn Birchall, Kay Housley, Sara Walker, Leanne Milner, Helena Hanratty, Helen Trower, Patrick Phillips, Simon Oxspring, Ben Donne, Catherine Jardine, Dewi Williams, Alasdair Hay, Rebecca Flanagan, Gareth Hughes, Scott Latham, Emma McKenna, Jennifer Anderson, Robert Hull, Kat Rhead, Carina Cruz, Natalie Pattison, Rob Charnock, Denise McFarland, Denise Cosgrove, Ashar Ahmed, Anna Morris, Srinivas Jakkula, Asifa Ali, Megan Brady, Sam Dale, Annalisa Dance, Lisa Gledhill, Jill Greig, Kathryn Hanson, Kelly Holdroyd, Marie Home, Diane Kelly, Ross Kitson, Lear Matapure, Deborah Melia, Samantha Mellor, Tonicha Nortcliffe, Jez Pinnell, Matthew Robinson, Lisa Shaw, Ryan Shaw, Lesley Thomis, Alison Wilson, Tracy Wood, Lee-Ann Bayo, Ekta Merwaha, Tahira Ishaq, Sarah Hanley, Meg Hibbert, Dariusz Tetla, Chrsitopher Woodford, Latha Durga, Gareth Kennard-Holden, Debbie Branney, Jordan Frankham, Sally Pitts, Nigel White, Shondipon Laha, Mark Verlander, Alexandra Williams, Abdelhakim Altabaibeh, Ana Alvaro, Kayleigh Gilbert, Louise Ma, Loreta Mostoles, Chetan Parmar, Kathryn Simpson, Champa Jetha, Lauren Booker, Anezka Pratley, Colene Adams, Anita Agasou, Tracie Arden, Amy Bowes, Pauline Boyle, Mandy Beekes, Heather Button, Nigel Capps, Mandy Carnahan, Anne Carter, Danielle Childs, Denise Donaldson, Kelly Hard, Fran Hurford, Yasmin Hussain, Ayesha Javaid, James Jones, Sanal Jose, Michael Leigh, Terry Martin, Helen Millward, Nichola Motherwell, Rachel Rikunenko, Jo Stickley, Julie Summers, Louise Ting, Helen Tivenan, Louise Tonks, Rebecca Wilcox, Maureen Holland, Natalie Keenan, Marc Lyons, Helen Wassall, Chris Marsh, Mervin Mahenthran, Emma Carter, Thomas Kong, Helen Blackman, Ben Creagh-Brown, Sinead Donlon, Natalia Michalak-Glinska, Sheila Mtuwa, Veronika Pristopan, Armorel Salberg, Eleanor Smith, Sarah Stone, Charles Piercy, Jerik Verula, Dorota Burda, Rugia Montaser, Lesley Harden, Irving Mayangao, Cheryl Marriott, Paul Bradley, Celia Harris, Susan Anderson, Eleanor Andrews, Janine Birch, Emma Collins, Kate Hammerton, Ryan O'Leary, Michele Clark, Sarah Purvis, Russell Barber, Claire Hewitt, Annette Hilldrith, Karen Jackson-Lawrence, Sarah Shepardson, Maryanne Wills, Susan Butler, Silvia Tavares, Amy Cunningham, Julia Hindale, Sarwat Arif, Sarah Bean, Karen Burt, Michael Spivey, Carrie Demetriou, Charlotte Eckbad, Sarah Hierons, Lucy Howie, Sarah Mitchard, Lidia Ramos, Alfredo Serrano-Ruiz, Katie White, Fiona Kelly, Daniele Cristiano, Natalie Dormand, Zohreh Farzad, Mahitha Gummadi, Kamal Liyanage, Brijesh Patel, Sara Salmi, Geraldine Sloane, Vicky Thwaites, Mathew Varghese, Anelise C. Zborowski, John Allan, Tim Geary, Gordon Houston, Alistair Meikle, Peter O'Brien, Miranda Forsey, Agilan Kaliappan, Anne Nicholson, Joanne Riches, Mark Vertue, Elizabeth Allan, Kate Darlington, Ffyon Davies, Jack Easton, Sumit Kumar, Richard Lean, Daniel Menzies, Richard Pugh, Xinyi Qiu, Llinos Davies, Hannah Williams, Jeremy Scanlon, Gwyneth Davies, Callum Mackay, Joannne Lewis, Stephanie Rees, Metod Oblak, Monica Popescu, Mini Thankachen, Andrew Higham, Kerry Simpson, Jayne Craig, Rosie Baruah, Sheila Morris, Susie Ferguson, Amy Shepherd, Luke Stephen Prockter Moore, Marcela Paola Vizcaychipi, Laura Gomes de Almeida Martins, Jaime Carungcong, Inthakab Ali Mohamed Ali, Karen Beaumont, Mark Blunt, Zoe Coton, Hollie Curgenven, Mohamed Elsaadany, Kay Fernandes, Sameena Mohamed Ally, Harini Rangarajan, Varun Sarathy, Sivarupan Selvanayagam, Dave Vedage, Matthew White, Mandy Gill, Paul Paul, Valli Ratnam, Sarah Shelton, Inez Wynter, Siobhain Carmody, Valerie Joan Page, Claire Marie Beith, Karen Black, Suzanne Clements, Alan Morrison, Dominic Strachan, Margaret Taylor, Michelle Clarkson, Stuart D'Sylva, Kathryn Norman, Fiona Auld, Joanne Donnachie, Ian Edmond, Lynn Prentice, Nikole Runciman, Dario Salutous, Lesley Symon, Anne Todd, Patricia Turner, Abigail Short, Laura Sweeney, Euan Murdoch, Dhaneesha Senaratne, Michaela Hill, Thogulava Kannan, Wild Laura, Rikki Crawley, Abigail Crew, Mishell Cunningham, Allison Daniels, Laura Harrison, Susan Hope, Ken Inweregbu, Sian Jones, Nicola Lancaster, Jamie Matthews, Alice Nicholson, Gemma Wray, Helen Langton, Rachel Prout, Malcolm Watters, Catherine Novis, Anthony Barron, Ciara Collins, Sundeep Kaul, Heather Passmore, Claire Prendergast, Anna Reed, Paula Rogers, Rajvinder Shokkar, Meriel Woodruff, Hayley Middleton, Oliver Polgar, Claire Nolan, Kanta Mahay, Dawn Collier, Anil Hormis, Victoria Maynard, Cheryl Graham, Rachel Walker, Ellen Knights, Alicia Price, Alice Thomas, Chris Thorpe, Teresa Behan, Caroline Burnett, Jonathan Hatton, Elaine Heeney, Atideb Mitra, Maria Newton, Rachel Pollard, Rachael Stead, Vishal Amin, Elena Anastasescu, Vikram Anumakonda, Komala Karthik, Rizwana Kausar, Karen Reid, Jacqueline Smith, Janet Imeson-Wood, Denise Skinner, Jane Gaylard, Dee Mullan, Julie Newman, Alison Brown, Vikki Crickmore, Gabor Debreceni, Joy Wilkins, Liz Nicol, Rosie Reece-Anthony, Mark Birt, Alison Ghosh, Emma Williams, Louise Allen, Eva Beranova, Nikki Crisp, Joanne Deery, Tracy Hazelton, Alicia Knight, Carly Price, Sorrell Tilbey, Salah Turki, Sharon Turney, Joshua Cooper, Cheryl Finch, Sarah Liderth, Alison Quinn, Natalia Waddington, Tina Coventry, Susan Fowler, Michael MacMahon, Amanda McGregor, Anne Cowley, Judith Highgate, Jane Gregory, Susan O'Connell, Tim Smith, Luigi Barberis, Shameer Gopal, Nichola Harris, Victoria Lake, Stella Metherell, Elizabeth Radford, Amelia Daniel, Joanne Finn, Rajnish Saha, Nikki White, Phil Donnison, Fiona Trim, Beena Eapen, Jenny Birch, Laura Bough, Josie Goodsell, Rebecca Tutton, Patricia Williams, Sarah Williams, Barbara Winter-Goodwin, Ailstair Nichol, Kathy Brickell, Michelle Smyth, Lorna Murphy, Samantha Coetzee, Alistair Gales, Igor Otahal, Meena Raj, Craig Sell, Paula Hilltout, Jayne Evitts, Amanda Tyler, Joanne Waldron, Kate Beesley, Sarah Board, Agnieszka Kubisz-Pudelko, Alison Lewis, Jess Perry, Lucy Pippard, Di Wood, Clare Buckley, Peter Barry, Neil Flint, Patel Rekha, Dawn Hales, Lara Bunni, Claire Jennings, Monica Latif, Rebecca Marshall, Gayathri Subramanian, Peter J. McGuigan, Christopher Wasson, Stephanie Finn, Jackie Green, Erin Collins, Bernadette King, Andy Campbell, Sara Smuts, Joseph Duffield, Oliver Smith, Lewis Mallon, Watkins Claire, Liam Botfield, Joanna Butler, Catherine Dexter, Jo Fletcher, Atul Garg, Aditya Kuravi, Poonam Ranga, Emma Virgilio, Zakaula Belagodu, Bridget Fuller, Anca Gherman, Olumide Olufuwa, Remi Paramsothy, Carmel Stuart, Naomi Oakley, Charlotte Kamundi, David Tyl, Katy Collins, Pedro Silva, June Taylor, Laura King, Charlotte Coates, Maria Crowley, Phillipa Wakefield, Jane Beadle, Laura Johnson, Janet Sargeant, Madeleine Anderson, Ailbhe Brady, Rebekah Chan, Jeff Little, Shane McIvor, Helena Prady, Helen Whittle, Bijoy Mathew, Ben Attwood, Penny Parsons, Geraldine Ward, Pamela Bremmer, West Joe, Baird Tracy, Ruddy Jim, Ellie Davies, Sonia Sathe, Catherine Dennis, Alastair McGregor, Victoria Parris, Sinduya Srikaran, Anisha Sukha, Noreen Clarke, Jonathan Whiteside, Mairi Mascarenhas, Avril Donaldson, Joanna Matheson, Fiona Barrett, Marianne O'Hara, Laura Okeefe, Clare Bradley, Christine Eastgate-Jackson, Helder Filipe, Daniel Martin, Amitaa Maharajh, Sara Mingo Garcia, Glykeria Pakou, Mark De Neef, Kathy Dent, Elizabeth Horsley, Muhmmad Nauman Akhtar, Sandra Pearson, Dorota Potoczna, Sue Spencer, Melanie Clapham, Rosemary Harper, Una Poultney, Polly Rice, Rachel Mutch, Lisa Armstrong, Hayley Bates, Emma Dooks, Fiona Farquhar, Brigid Hairsine, Chantal McParland, Sophie Packham, Rehana Bi, Barney Scholefield, Lydia Ashton, Linsha George, Sophie Twiss, David Wright, Manish Chablani, Amy Kirkby, Kimberley Netherton, Kim Davies, Linda O'Brien, Zohra Omar, Emma Perkins, Tracy Lewis, Isobel Sutherland, Karen Burns, Dr Ben Chandler, Kerry Elliott, Janine Mallinson, Alison Turnbull, Prisca Gondo, Bernard Hadebe, Abdul Kayani, Bridgett Masunda, Taya Anderson, Dan Hawcutt, Laura O'Malley, Laura Rad, Naomi Rogers, Paula Saunderson, Kathryn Sian Allison, Deborah Afolabi, Jennifer Whitbread, Dawn Jones, Rachael Dore, Matthew Halkes, Pauline Mercer, Lorraine Thornton, Joy Dawson, Sweyn Garrioch, Melanie Tolson, Jonathan Aldridge, Ritoo Kapoor, David Loader, Karen Castle, Sally Humphreys, Ruth Tampsett, Katherine Mackintosh, Amanda Ayers, Wendy Harrison, Julie North, Suzanne Allibone, Roman Genetu, Vidya Kasipandian, Amit Patel, Ainhi Mac, Anthony Murphy, Parisa Mahjoob, Roonak Nazari, Lucy Worsley, Andrew Fagan, Thomas Bemand, Ethel Black, Arnold Dela Rosa, Ryan Howle, Shaman Jhanji, Ravishankar Rao Baikady, Kate Colette Tatham, Benjamin Thomas, Dina Bell, Rosalind Boyle, Katie Douglas, Lynn Glass, Emma Lee, Liz Lennon, Austin Rattray, Abigail Taylor, Rachel Anne Hughes, Helen Thomas, Alun Rees, Michaela Duskova, Janet Phipps, Suzanne Brooks, Michelle Edwards, Sheena Quaid, Ekaterina Watson, Adam Brayne, Emma Fisher, Jane Hunt, Peter Jackson, Duncan Kaye, Nicholas Love, Juliet Parkin, Victoria Tuckey, Lynne Van Koutrik, Sasha Carter, Benedict Andrew, Louise Findlay, Katie Adams, Jen Service, Alison Williams, Claire Cheyne, Anne Saunderson, Sam Moultrie, Miranda Odam, Kathryn Hall, Isheunesu Mapfunde, Charlotte Willis, Alex Lyon, Chunda Sri-Chandana, Joslan Scherewode, Lorraine Stephenson, Sarah Marsh, John Hardy, Henry Houlden, Eleanor Moncur, Ambreen Tariq, Arianna Tucci, Maria Hobrok, Ronda Loosley, Heather McGuinness, Helen Tench, Rebecca Wolf-Roberts, Val Irvine, Benjamin Shelley, Claire Gorman, Abhinav Gupta, Elizabeth Timlick, Rebecca Brady, Barry Milligan, Arianna Bellini, Jade Bryant, Anton Mayer, Amy Pickard, Nicholas Roe, Jason Sowter, Alex Howlett, Katy Fidler, Emma Tagliavini, and Kevin Donnelly
Subjects: SARS-CoV-2, host genetics, toll-like receptor 7, targeted sequencing, rare variants, variant collapsing analysis, Genetics, QH426-470
Abstract: Summary: Despite extensive global research into genetic predisposition for severe COVID-19, knowledge on the role of rare host genetic variants and their relation to other risk factors remains limited. Here, 52 genes with prior etiological evidence were sequenced in 1,772 severe COVID-19 cases and 5,347 population-based controls from Spain/Italy. Rare deleterious TLR7 variants were present in 2.4% of young (
Published: 2024
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147. The HEALthy Brain and Child Development Study (HBCD): NIH collaboration to understand the impacts of prenatal and early life experiences on brain development

Author: Nora D. Volkow, Joshua A. Gordon, Diana W. Bianchi, Michael F. Chiang, Janine A. Clayton, William M. Klein, George F. Koob, Walter J. Koroshetz, Eliseo J. Pérez-Stable, Jane M. Simoni, Bruce J. Tromberg, Richard P. Woychik, Rebecca Hommer, Erica L. Spotts, Benjamin Xu, Julia L. Zehr, Katherine M. Cole, Gayathri J. Dowling, Michelle P. Freund, Katia D. Howlett, Chloe J. Jordan, Traci M. Murray, Vani Pariyadath, Janani Prabhakar, Michele L. Rankin, Christopher S. Sarampote, and Susan R.B. Weiss
Subjects: HBCD, Brain development, Neuroimaging, Longitudinal, Prenatal substance use, Social determinants of health, Neurophysiology and neuropsychology, QP351-495
Abstract: The human brain undergoes rapid development during the first years of life. Beginning in utero, a wide array of biological, social, and environmental factors can have lasting impacts on brain structure and function. To understand how prenatal and early life experiences alter neurodevelopmental trajectories and shape health outcomes, several NIH Institutes, Centers, and Offices collaborated to support and launch the HEALthy Brain and Child Development (HBCD) Study. The HBCD Study is a multi-site prospective longitudinal cohort study, that will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. Influenced by the success of the ongoing Adolescent Brain Cognitive DevelopmentSM Study (ABCD Study®) and in partnership with the NIH Helping to End Addiction Long-term® Initiative, or NIH HEAL Initiative®, the HBCD Study aims to establish a diverse cohort of over 7000 pregnant participants to understand how early life experiences, including prenatal exposure to addictive substances and adverse social environments as well as their interactions with an individual’s genes, can affect neurodevelopmental trajectories and outcomes. Knowledge gained from the HBCD Study will help identify targets for early interventions and inform policies that promote resilience and mitigate the neurodevelopmental effects of adverse childhood experiences and environments.
Published: 2024
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148. Communications, engagement, and dissemination strategies for the HEALthy Brain and Child Development (HBCD) Study

Author: Katherine M. Cole, Chloe J. Jordan, Micaela Parkinson, Karla R. Estrada, Elizabeth A. Hoffman, Julie M. Croff, Michelle P. Freund, and Katia D. Howlett
Subjects: HBCD, Prenatal exposures, Early-life development, Brain development, Communication, Engagement, Neurophysiology and neuropsychology, QP351-495
Abstract: The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. Study success depends on the engagement and inclusion of diverse populations of pregnant participants and their children across the United States, including those at high and low risk for prenatal substance use. The Communications, Engagement, and Dissemination (CED) Committee is responsible for the development and implementation of a strategy to promote awareness about the study, encourage participation, and engage HBCD families, community partners, and collaborators. Initial work involved developing versatile recruitment and awareness materials with a consistent and inclusive message that reduces stigma and negative bias towards marginalized populations, including people with substance use and other mental health conditions. These efforts were shaped by an integrated product development workflow and early engagement with HBCD partners to address challenges. Ongoing work includes the expansion of HBCD outreach through newsletters and social media platforms with an emphasis on protecting participant privacy. Future activities will focus on disseminating scientific information through generation of infographics and webinars that will inform participants, families, and the public of discoveries generated from HBCD Study data.
Published: 2024
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149. Early-stage outcomes and cost-effectiveness of implementing tourism-led coral propagation and outplanting in the Whitsundays (Great Barrier Reef)

Author: Rachael Scott, David Suggett, Cassidy Hayward, Brent Chatterton, John Edmondson, Johnny Gaskell, Gemma M. Gillette, Lorna Howlett, Emily Monacella, Christine D. Roper, Paige Strudwick, James Unsworth, Michela Veltri, Stephen Woodcock, and Emma F. Camp
Subjects: reef restoration, coral propagation, coral outplanting, restoration costs, cost-effectiveness, Great Barrier Reef, Science, General. Including nature conservation, geographical distribution, QH1-199.5
Abstract: Implementation of coral restoration practices within reef management strategies is accelerating globally to support reef resilience and recovery. However, full costs underpinning restoration project feasibility have historically been underreported yet are critical to informing restoration cost-benefit decision-making. Such knowledge is especially lacking for Australia’s Great Barrier Reef (GBR), where a coral restoration program led by reef tourism operators, Coral Nurture Program (CNP), was initiated in 2018 (northern GBR) and continues to scale. Here we describe the early outcomes and costs of implementing similar tourism-led asexual coral propagation and outplanting practices in a new region, the Whitsundays (central GBR) through the CNP. Specifically, we detail the local operational and environmental context of CNP Whitsundays, describe the costs of implementation and continuation of restoration activities, as well as evaluate survivorship of coral outplants across three restoration sites for nine months after project establishment (August 2022 to June 2023). Baseline benthic surveys revealed relatively low hard coral cover at restoration sites (ranging from 3.22-8.67%), which significantly differed in benthic composition from coral collection sites (ranging 16.67-38.06%), supporting strong motivation by tourism operators to undertake restoration activities. Mean coral survivorship of coral outplants in fate-tracked plots differed between the three restoration sites after 267 days (ranging 23.33-47.58%), with declines largely driven by coral detachment. Early-stage cost-effectiveness (costs relative to outplant survival) associated with implementation of restoration activity varied widely from US$33.04-178.55 per surviving coral (n = 4,425 outplants) depending on whether ‘in-kind’ costs, restoration activity (outplanting only vs. total costs encompassing planning through to monitoring), site-based survivorship, or a combination of these factors, were considered. As coral reef restoration projects continue to be established globally, our results highlight the need for ongoing, long-term monitoring that can inform adaptive practice, and fully transparent cost-reporting to understand and improve feasibility for any given project. We further highlight the inherent context-dependency of restoration costs, and the importance of considering local social-environmental contexts and their associated cost-benefits in economic rationale for reef restoration projects.
Published: 2024
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150. Machine Learning For Risk Prediction After Heart Failure Emergency Department Visit or Hospital Admission Using Administrative Health Data.

Author: Nowell M Fine, Sunil V Kalmady, Weijie Sun, Russ Greiner, Jonathan G Howlett, James A White, Finlay A McAlister, Justin A Ezekowitz, and Padma Kaul
Subjects: Computer applications to medicine. Medical informatics, R858-859.7
Abstract: AimsPatients visiting the emergency department (ED) or hospitalized for heart failure (HF) are at increased risk for subsequent adverse outcomes, however effective risk stratification remains challenging. We utilized a machine-learning (ML)-based approach to identify HF patients at risk of adverse outcomes after an ED visit or hospitalization using a large regional administrative healthcare data system.Methods and resultsPatients visiting the ED or hospitalized with HF between 2002-2016 in Alberta, Canada were included. Outcomes of interest were 30-day and 1-year HF-related ED visits, HF hospital readmission or all-cause mortality. We applied a feature extraction method using deep feature synthesis from multiple sources of health data and compared performance of a gradient boosting algorithm (CatBoost) with logistic regression modelling. The area under receiver operating characteristic curve (AUC-ROC) was used to assess model performance. We included 50,630 patients with 93,552 HF ED visits/hospitalizations. At 30-day follow-up in the holdout validation cohort, the AUC-ROC for the combined endpoint of HF ED visit, HF hospital readmission or death for the Catboost and logistic regression models was 74.16 (73.18-75.11) versus 62.25 (61.25-63.18), respectively. At 1-year follow-up corresponding values were 76.80 (76.1-77.47) versus 69.52 (68.77-70.26), respectively. AUC-ROC values for the endpoint of all-cause death alone at 30-days and 1-year follow-up were 83.21 (81.83-84.41) versus 69.53 (67.98-71.18), and 85.73 (85.14-86.29) versus 69.40 (68.57-70.26), for the CatBoost and logistic regression models, respectively.ConclusionsML-based modelling with deep feature synthesis provided superior risk stratification for HF patients at 30-days and 1-year follow-up after an ED visit or hospitalization using data from a large administrative regional healthcare system.
Published: 2024
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