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1. Caenorhabditis elegans as a Convenient Animal Model for Microbiome Studies

Author: Cheng-Yeu Wu, Scott Davis, Neekita Saudagar, Shrey Shah, William Zhao, Arnold Stern, Jan Martel, David Ojcius, and Hung-Chi Yang
Subjects: Caenorhabditis elegans, microbiota, microbiome, host–microbe interaction, microbial metabolite, drug, Biology (General), QH301-705.5, Chemistry, QD1-999
Abstract: Microbes constitute the most prevalent life form on Earth, yet their remarkable diversity remains mostly unrecognized. Microbial diversity in vertebrate models presents a significant challenge for investigating host–microbiome interactions. The model organism Caenorhabditis elegans has many advantages for delineating the effects of host genetics on microbial composition. In the wild, the C. elegans gut contains various microbial species, while in the laboratory it is usually a host for a single bacterial species. There is a potential host–microbe interaction between microbial metabolites, drugs, and C. elegans phenotypes. This mini-review aims to summarize the current understanding regarding the microbiome in C. elegans. Examples using C. elegans to study host–microbe–metabolite interactions are discussed.
Published: 2024
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2. Carnegie Supernova Project I and II: Measurements of H 0 Using Cepheid, Tip of the Red Giant Branch, and Surface Brightness Fluctuation Distance Calibration to Type Ia Supernovae

Author: Syed A. Uddin, Christopher R. Burns, M M. Phillips, Nicholas B. Suntzeff, Wendy L. Freedman, Peter J. Brown, Nidia Morrell, Mario Hamuy, Kevin Krisciunas, Lifan Wang, Eric Y. Hsiao, Ariel Goobar, Saul Perlmutter, Jing Lu, Maximilian Stritzinger, Joseph P. Anderson, Chris Ashall, Peter Hoeflich, Benjamin J. Shappee, S. E. Persson, Anthony L. Piro, E Baron, Carlos Contreras, Lluís Galbany, Sahana Kumar, Melissa Shahbandeh, Scott Davis, Jorge Anais, Luis Busta, Abdo Campillay, Sergio Castellón, Carlos Corco, Tiara Diamond, Christa Gall, Consuelo Gonzalez, Simon Holmbo, Miguel Roth, Jacqueline Serón, Francesco Taddia, Simón Torres, Charles Baltay, Gastón Folatelli, Ellie Hadjiyska, Mansi Kasliwal, Peter E. Nugent, David Rabinowitz, and Stuart D. Ryder
Subjects: Type Ia supernovae, Distance indicators, Observational cosmology, Hubble constant, Astrophysics, QB460-466
Abstract: We present an analysis of Type Ia supernovae (SNe Ia) from the Carnegie Supernova Project I and II and extend the Hubble diagram from optical to near-infrared wavelengths ( uBgVriYJH ). We calculate the Hubble constant, H _0 , using various distance calibrators: Cepheids, the tip of the red giant branch (TRGB), and surface brightness fluctuations (SBFs). Combining all methods of calibration, we derive H _0 = 71.76 ± 0.58 (stat) ± 1.19 (sys) km s ^−1 Mpc ^−1 from the B band and H _0 = 73.22 ± 0.68 (stat) ± 1.28 (sys) km s ^−1 Mpc ^−1 from the H band. By assigning equal weight to the Cepheid, TRGB, and SBF calibrators, we derive the systematic errors required for consistency in the first rung of the distance ladder, resulting in a systematic error of 1.2 ∼ 1.3 km s ^−1 Mpc ^−1 in H _0 . As a result, relative to the statistics-only uncertainty, the tension between the late-time H _0 we derive by combining the various distance calibrators and the early-time H _0 from the cosmic microwave background is reduced. The highest precision in SN Ia luminosity is found in the Y band (0.12 ± 0.01 mag), as defined by the intrinsic scatter ( σ _int ). We revisit SN Ia Hubble residual-host mass correlations and recover previous results that these correlations do not change significantly between the optical and near-infrared wavelengths. Finally, SNe Ia that explode beyond 10 kpc from their host centers exhibit smaller dispersion in their luminosity, confirming our earlier findings. A reduced effect of dust in the outskirts of hosts may be responsible for this effect.
Published: 2024
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3. Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker

Author: Kaci L Pickett, Krithika Suresh, Kristen R Campbell, Scott Davis, and Elizabeth Juarez-Colunga
Subjects: Area under the curve, Joint modeling, Landmarking, Prediction accuracy, Variable importance, Medicine (General), R5-920
Abstract: Abstract Background Risk prediction models for time-to-event outcomes play a vital role in personalized decision-making. A patient’s biomarker values, such as medical lab results, are often measured over time but traditional prediction models ignore their longitudinal nature, using only baseline information. Dynamic prediction incorporates longitudinal information to produce updated survival predictions during follow-up. Existing methods for dynamic prediction include joint modeling, which often suffers from computational complexity and poor performance under misspecification, and landmarking, which has a straightforward implementation but typically relies on a proportional hazards model. Random survival forests (RSF), a machine learning algorithm for time-to-event outcomes, can capture complex relationships between the predictors and survival without requiring prior specification and has been shown to have superior predictive performance. Methods We propose an alternative approach for dynamic prediction using random survival forests in a landmarking framework. With a simulation study, we compared the predictive performance of our proposed method with Cox landmarking and joint modeling in situations where the proportional hazards assumption does not hold and the longitudinal marker(s) have a complex relationship with the survival outcome. We illustrated the use of the RSF landmark approach in two clinical applications to assess the performance of various RSF model building decisions and to demonstrate its use in obtaining dynamic predictions. Results In simulation studies, RSF landmarking outperformed joint modeling and Cox landmarking when a complex relationship between the survival and longitudinal marker processes was present. It was also useful in application when there were several predictors for which the clinical relevance was unknown and multiple longitudinal biomarkers were present. Individualized dynamic predictions can be obtained from this method and the variable importance metric is useful for examining the changing predictive power of variables over time. In addition, RSF landmarking is easily implementable in standard software and using suggested specifications requires less computation time than joint modeling. Conclusions RSF landmarking is a nonparametric, machine learning alternative to current methods for obtaining dynamic predictions when there are complex or unknown relationships present. It requires little upfront decision-making and has comparable predictive performance and has preferable computational speed.
Published: 2021
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4. Dynamic prediction based on variability of a longitudinal biomarker

Author: Kristen R. Campbell, Rui Martins, Scott Davis, and Elizabeth Juarez-Colunga
Subjects: Dynamic prediction, Kidney transplant, Survival, Medicine (General), R5-920
Abstract: Abstract Background Tacrolimus is given post-kidney transplant to suppress the immune system, and the amount of drug in the body is measured frequently. Higher variability over time may be indicative of poor drug adherence, leading to more adverse events. It is important to account for the variation in Tacrolimus, not just the average change over time. Methods Using data from the University of Colorado, we compare methods of assessing how the variability in Tacrolimus influences the hazard of de novo Donor Specific Antibodies (dnDSA), an early warning sign of graft failure. We compare multiple joint models in terms of fit and predictive ability. We explain that the models that account for the individual-specific variability over time have the best predictive performance. These models allowed each patient to have an individual-specific random error term in the longitudinal Tacrolimus model, and linked this to the hazard of dnDSA model. Results The hazard for the variance and coefficient of variation (CV) loading parameter were greater than 1, indicating that higher variability of Tacrolimus had a higher hazard of dnDSA. Introducing the individual-specific variability improved the fit, leading to more accurate predictions about the individual-specific time-to-dnDSA. Conclusions We showed that the individual’s variability in Tacrolimus is an important metric in predicting long-term adverse events in kidney transplantation. This is an important step in personalizing the dosage of TAC post-transplant to improve outcomes post-transplant.
Published: 2021
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5. Cytotoxic T Lymphocyte Activation Signals Modulate Cytoskeletal Dynamics and Mechanical Force Generation

Author: Aashli Pathni, Altuğ Özçelikkale, Ivan Rey-Suarez, Lei Li, Scott Davis, Nate Rogers, Zhengguo Xiao, and Arpita Upadhyaya
Subjects: CD8+ cytotoxic T lymphocyte, cytoskeleton, traction force, IL-12 cytokine, actin, microtubule, Immunologic diseases. Allergy, RC581-607
Abstract: Cytotoxic T lymphocytes (CTLs) play an integral role in the adaptive immune response by killing infected cells. Antigen presenting cells (APCs), such as dendritic cells, present pathogenic peptides to the T cell receptor on the CTL surface and co-stimulatory signals required for complete activation. Activated CTLs secrete lytic granules containing enzymes that trigger target cell death at the CTL-target contact, also known as the immune synapse (IS). The actin and microtubule cytoskeletons are instrumental in the killing of CTL targets. Lytic granules are transported along microtubules to the IS, where granule secretion is facilitated by actin depletion and recovery. Furthermore, actomyosin contractility promotes target cell death by mediating mechanical force exertion at the IS. Recent studies have shown that inflammatory cytokines produced by APCs, such as interleukin-12 (IL-12), act as a third signal for CTL activation and enhance CTL proliferation and effector function. However, the biophysical mechanisms mediating such enhanced effector function remain unclear. We hypothesized that the third signal for CTL activation, IL-12, modulates cytoskeletal dynamics and force exertion at the IS, thus potentiating CTL effector function. Here, we used live cell total internal reflection fluorescence (TIRF) microscopy to study actomyosin and microtubule dynamics at the IS of murine primary CTLs activated in the presence of peptide-MHC and co-stimulation alone (two signals), or additionally with IL-12 (three signals). We found that three signal-activated CTLs have altered actin flows, myosin dynamics and microtubule growth rates as compared to two signal-activated CTLs. We further showed that lytic granules in three-signal activated CTLs are less clustered and have lower velocities than in two-signal activated CTLs. Finally, we used traction force microscopy to show that three signal-activated CTLs exert greater traction forces than two signal-activated CTLs. Our results demonstrate that activation of CTLs in the presence of IL-12 leads to differential modulation of the cytoskeleton, thereby augmenting the mechanical response of CTLs to their targets. This indicates a potential physical mechanism via which the third signal can enhance the CTL response.
Published: 2022
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6. Carnegie Supernova Project. II. Near-infrared Spectral Diversity and Template of Type Ia Supernovae

Author: Jing Lu, Eric Y. Hsiao, Mark M. Phillips, Christopher R. Burns, Chris Ashall, Nidia Morrell, Lawrence Ng, Sahana Kumar, Melissa Shahbandeh, Peter Hoeflich, E. Baron, Syed Uddin, Maximilian D. Stritzinger, Nicholas B. Suntzeff, Charles Baltay, Scott Davis, Tiara R. Diamond, Gaston Folatelli, Francisco Förster, Jonathan Gagné, Lluís Galbany, Christa Gall, Santiago González-Gaitán, Simon Holmbo, Robert P. Kirshner, Kevin Krisciunas, G. H. Marion, Saul Perlmutter, Priscila J. Pessi, Anthony L. Piro, David Rabinowitz, Stuart D. Ryder, and David J. Sand
Subjects: High energy astrophysics, Time domain astronomy, Infrared spectroscopy, Type Ia supernovae, Astrophysics, QB460-466
Abstract: We present the largest and most homogeneous collection of near-infrared (NIR) spectra of Type Ia supernovae (SNe Ia): 339 spectra of 98 individual SNe obtained as part of the Carnegie Supernova Project-II. These spectra, obtained with the FIRE spectrograph on the 6.5 m Magellan Baade telescope, have a spectral range of 0.8–2.5 μ m. Using this sample, we explore the NIR spectral diversity of SNe Ia and construct a template of spectral time series as a function of the light-curve-shape parameter, color stretch s _BV . Principal component analysis is applied to characterize the diversity of the spectral features and reduce data dimensionality to a smaller subspace. Gaussian process regression is then used to model the subspace dependence on phase and light-curve shape and the associated uncertainty. Our template is able to predict spectral variations that are correlated with s _BV , such as the hallmark NIR features: Mg ii at early times and the H -band break after peak. Using this template reduces the systematic uncertainties in K -corrections by ∼90% compared to those from the Hsiao template. These uncertainties, defined as the mean K -correction differences computed with the color-matched template and observed spectra, are on the level of 4 × 10 ^−4 mag on average. This template can serve as the baseline spectral energy distribution for light-curve fitters and can identify peculiar spectral features that might point to compelling physics. The results presented here will substantially improve future SN Ia cosmological experiments, for both nearby and distant samples.
Published: 2023
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7. Discovery and preclinical evaluation of anti-miR-17 oligonucleotide RGLS4326 for the treatment of polycystic kidney disease

Author: Edmund C. Lee, Tania Valencia, Charles Allerson, Annelie Schairer, Andrea Flaten, Matanel Yheskel, Kara Kersjes, Jian Li, Sole Gatto, Mandeep Takhar, Steven Lockton, Adam Pavlicek, Michael Kim, Tiffany Chu, Randy Soriano, Scott Davis, John R. Androsavich, Salma Sarwary, Tate Owen, Julia Kaplan, Kai Liu, Graham Jang, Steven Neben, Philip Bentley, Timothy Wright, and Vishal Patel
Subjects: Science
Abstract: Autosomal dominant polycystic kidney disease (ADPKD) is a leading genetic cause of end-stage renal disease with limited treatment options. Here the authors discover and characterize a microRNA inhibitor as a potential treatment for ADPKD.
Published: 2019
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8. Comparison of a time-varying covariate model and a joint model of time-to-event outcomes in the presence of measurement error and interval censoring: application to kidney transplantation

Author: Kristen R. Campbell, Elizabeth Juarez-Colunga, Gary K. Grunwald, James Cooper, Scott Davis, and Jane Gralla
Subjects: Bayesian analysis, Interval censoring, Measurement error, Shared random effects, Medicine (General), R5-920
Abstract: Abstract Background Tacrolimus (TAC) is an immunosuppressant drug given to kidney transplant recipients post-transplant to prevent antibody formation and kidney rejection. The optimal therapeutic dose for TAC is poorly defined and therapy requires frequent monitoring of drug trough levels. Analyzing the association between TAC levels over time and the development of potentially harmful de novo donor specific antibodies (dnDSA) is complex because TAC levels are subject to measurement error and dnDSA is assessed at discrete times, so it is an interval censored time-to-event outcome. Methods Using data from the University of Colorado Transplant Center, we investigated the association between TAC and dnDSA using a shared random effects (intercept and slope) model with longitudinal and interval censored survival sub-models (JM) and compared it with the more traditional interval censored survival model with a time-varying covariate (TVC). We carried out simulations to compare bias, level and power for the association parameter in the TVC and JM under varying conditions of measurement error and interval censoring. In addition, using Markov Chain Monte Carlo (MCMC) methods allowed us to calculate clinically relevant quantities along with credible intervals (CrI). Results The shared random effects model was a better fit and showed both the average TAC and the slope of TAC were associated with risk of dnDSA. The simulation studies demonstrated that, in the presence of heavy interval censoring and high measurement error, the TVC survival model underestimates the association between the survival and longitudinal measurement and has inflated type I error and considerably less power to detect associations. Conclusions To avoid underestimating associations, shared random effects models should be used in analyses of data with interval censoring and measurement error.
Published: 2019
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9. Using Maize Chromosome Segment Substitution Line Populations for the Identification of Loci Associated with Multiple Disease Resistance

Author: Luis O. Lopez-Zuniga, Petra Wolters, Scott Davis, Teclemariam Weldekidan, Judith M. Kolkman, Rebecca Nelson, K. S. Hooda, Elizabeth Rucker, Wade Thomason, Randall Wisser, and Peter Balint-Kurti
Subjects: Maize disease resistance, Multiple disease resistance, QTL, Genetics, QH426-470
Abstract: Southern Leaf Blight (SLB), Northern Leaf Blight (NLB), and Gray Leaf Spot (GLS) caused by Cochliobolus heterostrophus, Setosphaeria turcica, and Cercospora zeae-maydis respectively, are among the most important diseases of corn worldwide. Previously, moderately high and significantly positive genetic correlations between resistance levels to each of these diseases were identified in a panel of 253 diverse maize inbred lines. The goal of this study was to identify loci underlying disease resistance in some of the most multiple disease resistant (MDR) lines by the creation of chromosome segment substitution line (CSSL) populations in multiple disease susceptible (MDS) backgrounds. Four MDR lines (NC304, NC344, Ki3, NC262) were used as donor parents and two MDS lines (Oh7B, H100) were used as recurrent parents to produce eight BC3F4:5 CSSL populations comprising 1,611 lines in total. Each population was genotyped and assessed for each disease in replicated trials in two environments. Moderate to high heritabilities on an entry mean basis were observed (0.32 to 0.83). Several lines in each population were significantly more resistant than the MDS parental lines for each disease. Multiple quantitative trait loci (QTL) for disease resistance were detected for each disease in most of the populations. Seventeen QTL were associated with variation in resistance to more than one disease (SLB/NLB: 2; SLB/GLS: 7; NLB/GLS: 2 and 6 to all three diseases). For most populations and most disease combinations, significant correlations were observed between disease scores and also between marker effects for each disease. The number of lines that were resistant to more than one disease was significantly higher than would be expected by chance. Using the results from individual QTL analyses, a composite statistic based on Mahalanobis distance (Md) was used to identify joint marker associations with multiple diseases. Across all populations and diseases, 246 markers had significant Md values. However further analysis revealed that most of these associations were due to strong QTL effects on a single disease. Together, these findings reinforce our previous conclusions that loci associated with resistance to different diseases are clustered in the genome more often than would be expected by chance. Nevertheless true MDR loci which have significant effects on more than one disease are still much rarer than loci with single disease effects.
Published: 2019
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10. Full esophageal mobilization during hiatal hernia repair with concomitant sleeve gastrectomy improves postoperative reflux symptoms for patients with preexisting reflux

Author: Petcka, Nicole L., Fay, Katherine, Hall, Carrie, Mou, Danny, Stetler, Jamil, Srinivasan, Jahnavi K., Patel, Ankit D., Lin, Edward, and Scott Davis, Jr., S.
Published: 2024
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11. Nightshift work, chronotype, and genome-wide DNA methylation in blood

Author: Charleen D. Adams, Kristina M. Jordahl, Wade Copeland, Dana K. Mirick, Xiaoling Song, Cassandra L. Sather, Karl Kelsey, Andres Houseman, Scott Davis, Timothy Randolph, and Parveen Bhatti
Subjects: shift work, chronotype, dna methylation, Genetics, QH426-470
Abstract: Molecular mechanisms underlying the negative health effects of shift work are poorly understood, which remains a barrier to developing intervention strategies to protect the long-term health of shift workers. We evaluated genome-wide differences in DNA methylation (measured in blood) between 111 actively employed female nightshift and 86 actively employed female dayshift workers from the Seattle metropolitan area. We also explored the effect of chronotype (i.e., measure of preference for activity earlier or later in the day) on DNA methylation among 110 of the female nightshift workers and an additional group of 131 male nightshift workers. Methylation data were generated using the Illumina Infinium HumanMethylation450 BeadChip (450K) Array. After applying the latest methylation data processing methods, we compared methylation levels at 361,210 CpG loci between the groups using linear regression models adjusted for potential confounders and applied the false-discovery rate (FDR) ≤ 0.05 to account for multiple comparisons. No statistically significant associations at the genome-wide level were observed with shift work or chronotype, though based on raw P values and absolute effect sizes, there were suggestive associations in genes that have been previously linked with cancer (e.g., BACH2, JRK, RPS6KA2) and type-2 diabetes (e.g., KCNQ1). Given that our study was underpowered to detect moderate effects, examining these suggestive results in well-powered independent studies or in pooled data sets may improve our understanding of the pathways underlying the negative health effects of shift work and the influence of personal factors such as chronotype. Such an approach may help identify potential interventions that can be used to protect the long-term health of shift workers.
Published: 2017
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12. microRNA-17 family promotes polycystic kidney disease progression through modulation of mitochondrial metabolism

Author: Sachin Hajarnis, Ronak Lakhia, Matanel Yheskel, Darren Williams, Mehran Sorourian, Xueqing Liu, Karam Aboudehen, Shanrong Zhang, Kara Kersjes, Ryan Galasso, Jian Li, Vivek Kaimal, Steven Lockton, Scott Davis, Andrea Flaten, Joshua A. Johnson, William L. Holland, Christine M. Kusminski, Philipp E. Scherer, Peter C. Harris, Marie Trudel, Darren P. Wallace, Peter Igarashi, Edmund C. Lee, John R. Androsavich, and Vishal Patel
Subjects: Science
Abstract: Autosomal dominant polycystic kidney disease (ADPKD) is a life-threatening genetic disease that leads to renal failure. Here Hajarniset al. show that miR-17 modulates cyst progression in ADPKD through metabolic reprogramming of mitochondria and its inhibition slows cyst development and improves renal functions.
Published: 2017
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13. Human Leukocyte Antigen Class I and II Alleles and Overall Survival in Diffuse Large B-Cell Lymphoma and Follicular Lymphoma

Author: Yani Lu, Amr M. Abdou, James R. Cerhan, Lindsay M. Morton, Richard K. Severson, Scott Davis, Wendy Cozen, Nathaniel Rothman, Leslie Bernstein, Stephen Chanock, Patricia Hartge, and Sophia S. Wang
Subjects: Technology, Medicine, Science
Abstract: Genetic variation in the 6p21 chromosomal region, including human leukocyte antigen (HLA) genes and tumor necrosis factor (TNF), has been linked to both etiology and clinical outcomes of lymphomas. We estimated the effects of HLA class I (A, B, and C), class II DRB1 alleles, and the ancestral haplotype (AH) 8.1 (HLAA*01-B*08-DRB1*03-TNF-308A) on overall survival (OS) among patients with diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) in a population-based study of non-Hodgkin lymphoma. During a median followup of 89 months, 31% (52 of 166) DLBCL and 28% (46 of 165) FL patients died. Using multivariate Cox regression models, we observed statistically significant associations between genetic variants and survival: HLA-Cw*07:01 was associated with poorer OS among DLBCL patients (Hazard ratio [HR] = 1.76, 95% confidence interval [CI] = 1.01–3.05); HLA-A*01:01 was associated with poorer OS (HR = 2.23, 95% CI = 1.24–4.01), and HLA-DRB1*13 (HR = 0.12, 95% CI = 0.02–0.90) and HLA-B Bw4 (HR = 0.36, 95% CI = 0.20–0.63) with better OS among FL patients. These results support a role for HLA in the prognosis of DLBCL and FL and represent a promising class of prognostic factors that warrants further evaluation.
Published: 2011
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14. GWAS of follicular lymphoma reveals allelic heterogeneity at 6p21.32 and suggests shared genetic susceptibility with diffuse large B-cell lymphoma.

Author: Karin E Smedby, Jia Nee Foo, Christine F Skibola, Hatef Darabi, Lucia Conde, Henrik Hjalgrim, Vikrant Kumar, Ellen T Chang, Nathaniel Rothman, James R Cerhan, Angela R Brooks-Wilson, Emil Rehnberg, Ishak D Irwan, Lars P Ryder, Peter N Brown, Paige M Bracci, Luz Agana, Jacques Riby, Wendy Cozen, Scott Davis, Patricia Hartge, Lindsay M Morton, Richard K Severson, Sophia S Wang, Susan L Slager, Zachary S Fredericksen, Anne J Novak, Neil E Kay, Thomas M Habermann, Bruce Armstrong, Anne Kricker, Sam Milliken, Mark P Purdue, Claire M Vajdic, Peter Boyle, Qing Lan, Shelia H Zahm, Yawei Zhang, Tongzhang Zheng, Stephen Leach, John J Spinelli, Martyn T Smith, Stephen J Chanock, Leonid Padyukov, Lars Alfredsson, Lars Klareskog, Bengt Glimelius, Mads Melbye, Edison T Liu, Hans-Olov Adami, Keith Humphreys, and Jianjun Liu
Subjects: Genetics, QH426-470
Abstract: Non-Hodgkin lymphoma (NHL) represents a diverse group of hematological malignancies, of which follicular lymphoma (FL) is a prevalent subtype. A previous genome-wide association study has established a marker, rs10484561 in the human leukocyte antigen (HLA) class II region on 6p21.32 associated with increased FL risk. Here, in a three-stage genome-wide association study, starting with a genome-wide scan of 379 FL cases and 791 controls followed by validation in 1,049 cases and 5,790 controls, we identified a second independent FL-associated locus on 6p21.32, rs2647012 (OR(combined) = 0.64, P(combined) = 2 × 10(-21)) located 962 bp away from rs10484561 (r(2)
Published: 2011
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15. Variation in effects of non-Hodgkin lymphoma risk factors according to the human leukocyte antigen (HLA)-DRB1*01:01 allele and ancestral haplotype 8.1.

Author: Sophia S Wang, Yani Lu, Nathaniel Rothman, Amr M Abdou, James R Cerhan, Anneclaire De Roos, Scott Davis, Richard K Severson, Wendy Cozen, Stephen J Chanock, Leslie Bernstein, Lindsay M Morton, and Patricia Hartge
Subjects: Medicine, Science
Abstract: Genetic variations in human leukocyte antigens (HLA) are critical in host responses to infections, transplantation, and immunological diseases. We previously identified associations with non-Hodgkin lymphoma (NHL) and the HLA-DRB1*01:01 allele and extended ancestral haplotype (AH) 8.1 (HLA-A*01-B*08-DR*03-TNF-308A). To illuminate how HLA alleles and haplotypes may influence NHL etiology, we examined potential interactions between HLA-DRB1*01:01 and AH 8.1, and a wide range of NHL risk factors among 685 NHL cases and 646 controls from a United States population-based case-control study. We calculated odds ratios and 95% confidence intervals by HLA allele or haplotype status, adjusted for sex, age, race and study center for NHL and two major subtypes using polychotomous unconditional logistic regression models. The previously reported elevation in NHL risk associated with exposures to termite treatment and polychlorinated biphenyls were restricted to individuals who did not possess HLA-DRB1*01:01. Previous associations for NHL and DLBCL with decreased sun exposure, higher BMI, and autoimmune conditions were statistically significant only among those with AH 8.1, and null among those without AH 8.1. Our results suggest that NHL risk factors vary in their association based on HLA-DRB1*01:01 and AH 8.1 status. Our results further suggest that certain NHL risk factors may act through a common mechanism to alter NHL risk. Finally, control participants with either HLA-DRB1*01:01 or AH 8.1 reported having a family history of NHL twice as likely as those who did not have either allele or haplotype, providing the first empirical evidence that HLA associations may explain some of the well-established relationship between family history and NHL risk.
Published: 2011
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16. Common gene variants in the tumor necrosis factor (TNF) and TNF receptor superfamilies and NF-kB transcription factors and non-Hodgkin lymphoma risk.

Author: Sophia S Wang, Mark P Purdue, James R Cerhan, Tongzhang Zheng, Idan Menashe, Bruce K Armstrong, Qing Lan, Patricia Hartge, Anne Kricker, Yawei Zhang, Lindsay M Morton, Claire M Vajdic, Theodore R Holford, Richard K Severson, Andrew Grulich, Brian P Leaderer, Scott Davis, Wendy Cozen, Meredith Yeager, Stephen J Chanock, Nilanjan Chatterjee, and Nathaniel Rothman
Subjects: Medicine, Science
Abstract: BACKGROUND:A promoter polymorphism in the pro-inflammatory cytokine tumor necrosis factor (TNF) (TNF G-308A) is associated with increased non-Hodgkin lymphoma (NHL) risk. The protein product, TNF-alpha, activates the nuclear factor kappa beta (NF-kappaB) transcription factor, and is critical for inflammatory and apoptotic responses in cancer progression. We hypothesized that the TNF and NF-kappaB pathways are important for NHL and that gene variations across the pathways may alter NHL risk. METHODOLOGY/PRINCIPAL FINDINGS:We genotyped 500 tag single nucleotide polymorphisms (SNPs) from 48 candidate gene regions (defined as 20 kb 5', 10 kb 3') in the TNF and TNF receptor superfamilies and the NF-kappaB and related transcription factors, in 1946 NHL cases and 1808 controls pooled from three independent population-based case-control studies. We obtained a gene region-level summary of association by computing the minimum p-value ("minP test"). We used logistic regression to compute odds ratios and 95% confidence intervals for NHL and four major NHL subtypes in relation to SNP genotypes and haplotypes. For NHL, the tail strength statistic supported an overall relationship between the TNF/NF-kappaB pathway and NHL (p = 0.02). We confirmed the association between TNF/LTA on chromosome 6p21.3 with NHL and found the LTA rs2844484 SNP most significantly and specifically associated with the major subtype, diffuse large B-cell lymphoma (DLBCL) (p-trend = 0.001). We also implicated for the first time, variants in NFKBIL1 on chromosome 6p21.3, associated with NHL. Other gene regions identified as statistically significantly associated with NHL included FAS, IRF4, TNFSF13B, TANK, TNFSF7 and TNFRSF13C. Accordingly, the single most significant SNPs associated with NHL were FAS rs4934436 (p-trend = 0.0024), IRF4 rs12211228 (p-trend = 0.0026), TNFSF13B rs2582869 (p-trend = 0.0055), TANK rs1921310 (p-trend = 0.0025), TNFSF7 rs16994592 (p-trend = 0.0024), and TNFRSF13C rs6002551 (p-trend = 0.0074). All associations were consistent in each study with no apparent specificity for NHL subtype. CONCLUSIONS/SIGNIFICANCE:Our results provide consistent evidence that variation in the TNF superfamily of genes and specifically within chromosome 6p21.3 impacts lymphomagenesis. Further characterization of these susceptibility loci and identification of functional variants are warranted.
Published: 2009
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17. Response to Ijaz S, et al. 'Night-shift work and breast cancer - a systematic review and meta-analysis'

Author: Richard G Stevens, Johnni Hansen, Eva S Schernhammer, and Scott Davis
Subjects: cancer, breast cancer, shift work, letter to the editor, dose–response, night-shift work, Public aspects of medicine, RA1-1270
Abstract: There continues to be strong interest in the possibility that working non-day hours is associated with an increased risk of cancer, most notably breast and prostate cancer. There is now a substantial body of scientific evidence regarding this question. The findings to date from numerous epidemiologic studies, employing both case–control and cohort designs, support such an association although there are some inconsistencies, particularly in the definition of “shift work”. Most studies find an association but a few do not. One alternative to the comparison of individual studies is a formal meta-analysis that combines data from several studies and treats those data as one large study. Although meta-analyses can be informative, they are subject to a number of important limitations that must be considered in interpreting the results and drawing conclusions. Perhaps the most difficult aspect of conducting a meta-analysis is the degree of similarity among studies, both in design and execution. Especially important in this regard is the assessment of exposure. Ijaz et al (1) recently published the results of a new meta-analysis designed to evaluate the epidemiological studies of night shift work and breast cancer risk. Although this appears to be a carefully done study, it is also a good example of the inherent limitations of meta-analyses and the effects of such shortcomings on the final disease risk estimates. Of primary concern is that the studies included in Ijaz et al’s meta-analysis employed very different methods to define the exposure, such that no two studies defined their primary exposure variable(s) in exactly the same way. Each study is different regarding the definition and use of factors that can characterize non-day work. These include: (i) shift system (eg, rotating or permanent, start, and end times, etc.); (ii) years on shift; and (iii) shift intensity (time-off between shifts) (2). These more detailed aspects of non-day shiftwork will influence circadian rhythms, melatonin suppression, and sleep deprivation; all of which are hypothesized to be etiologic factors for breast and perhaps other types of cancer as well. Thus, it is vitally important that indicators of exposure to factors associated with non-day work be as accurate and reproducible as possible. This would greatly improve the ability to compare results across studies, and future studies would be much more uniform in exposure assessment. Current approaches can result in substantial degrees of exposure misclassification. This occurs in two different ways. One is general misclassification, often referred to as non-differential. This tends to reduce the risk estimates towards the null, therefore reducing the magnitude of the exposure– disease association. If the misclassification is strong enough, it can even mask true associations. The other is differential exposure misclassification, which can bias results in either direction. For example, it is not difficult to imagine that the probability of whether an identified subject would or would not participate in a given study could depend on their work schedule; day workers are more difficult to reach by, for example, telephone and therefore controls over-represent night workers compared to the general population. “Shift work” as assessed in some of the case–control studies that used personal interviews was not subject to any significant recall bias because it was derived from detailed occupational histories, which are accurately remembered by most people. It should also be kept in mind that several of the case–control studies used existing occupational records for workers and so no interview was conducted at all; and, in almost all of the case–control studies that did use interviews, those interviews were conducted before the International Agency for Research on Cancer (IARC) evaluation of October 2007 and thereby before the light-at-night hypothesis was widely publicized. The original reason for examining the non-day shift was as a surrogate for melatonin suppression and “circadian disruption” from electric light at night. Non-day workers were presumed to have more of this exposure than day workers. However, all women in the modern world are exposed to electric light to some extent during the period from dusk to dawn. So in all the epidemiological studies of shift work, the comparison group of day-working women also have a history of exposure to light-at-night. Therefore, if light-at-night does increase the risk of breast cancer, then the shift work studies only capture a small portion of the societal impact. A major limitation of meta-analyses is that internal validity largely depends on the quality of the primary contributing studies; in other words, a meta-analysis cannot overcome the methodological limitations inherent to the design of each individual study. The conclusions of Ijaz et al (1) depend crucially upon their subjective assessments of “quality”, and those assessments are not compelling for many of the studies. Their methods for defining “long-term” are also problematic. Other investigators who have recently published meta-analyses on the same topic (3, 4) came to different conclusions regarding the quality of several of the individual studies and the overall result. Finally, a recent case–control study not included in these meta-analyses also gives support to the association between long-term, non-day work and breast cancer risk (5). Given the vastly different exposure metrics used in each study, heterogeneity in results should be expected. Despite the dissimilarity of study design and an unknown but possibly substantial degree of non-differential exposure misclassification, Ijaz et al (1) do observe a 5% significantly increased risk of breast cancer per each five years of non-day work [risk ratio (RR) 1.05, 95% confidence interval (95% CI) 1.01–1.10] based on 12 studies. The authors assert that the cohort studies in their meta-analysis found little or no association, yet the case–control studies did; this, they suggest, is due to recall bias in the case–control studies, although as noted above recall bias almost certainly did not occur in those case–control studies. In addition, two of the three cohort studies included in the meta-analysis clearly report significantly elevated risks for long-term exposure, which is at odds with the authors’ assertion of a meaningful difference between the case–control (N=9) and cohort (N=3) results.
Published: 2013
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18. The business case for quality improvement

Author: Fischer, Hannah Ryan and Duncan, Scott Davis
Published: 2020
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19. Who gets a PEG? An analysis of simultaneous PEG placement during elective laparoscopic paraesophageal hernia repair

Author: Yheulon, Christopher G., Balla, Fadi M., Lin, Edward, and Scott Davis, Jr., S.
Published: 2020
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20. Monetary policy divergence and net capital flows: Accounting for endogenous policy responses

Author: Scott Davis, J. and Zlate, Andrei
Published: 2019
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21. Spectrum – An Instrument for Multispectral Biological Fluorescence Imaging on the International Space Station

Author: Bradley Burns, Carlos Gil, Steven Klinko, Eraj Yunus, Jason Schuler, AJ Nick, Frank Brady, Rebecca Oostdyk, Matt Raines, Adam Chaney, Jay Deshmukh, Jonathan Gleeson, Seth Rhodes, Kevin Murtland, Scott Davis, Monica Patricia Soler, and Scott Thomas Shipley
Subjects: Instrumentation And Photography, Life Sciences (General)
Abstract: Spectrum is a compact instrument for fluorescent imaging of biological specimens in microgravity and capable of operating within the constraints of an EXPRESS Rack on the International Space Station (ISS). The Spectrum Flight Unit (SFU) was launched to ISSin November 2019 and is available for science investigations as a general instrument. A duplicate Engineering Development Unit (EDU) is available at NASA Kennedy Space Center (KSC). Science Verification Testing (SVT) performed at KSCdemonstrated all required functions including five (5) fluorescence excitation wavelengths, growth lighting, environmental controls and monitoring, and high-resolution imaging using a 71 Megapixel camera with flat field lens. The design features key Orbital Replaceable Unit (ORU) components, which may be adapted or changed by future investigators for tailored science experiments.
Published: 2021

22. One Anastomosis Gastric Bypass as Revisional Surgery Following Sleeve Gastrectomy: A Systematic Review and Meta-Analysis.

Author: Nakanishi, Hayato, Mosleh, Kamal Abi, Al-Kordi, Mohammad, Farsi, Soroush, Chaudhry, Shahrukh, Marrero, Katie, Scott Davis Jr., S., Kermansaravi, Mohammad, Parmar, Chetan, Clapp, Benjamin, and Ghanem, Omar M.
Subjects: SLEEVE gastrectomy, GASTRIC bypass, SURGICAL anastomosis, BARIATRIC surgery, WEIGHT loss
Abstract: Background: Although sleeve gastrectomy (SG) is the most performed metabolic and bariatric surgery (MBS) worldwide, some patients require conversional procedures due to weight recurrence or late complications. Recently, one-anastomosis gastric bypass (OAGB) gained popularity as a viable option to address those problems. The aim of this meta-analysis is to assess the safety and efficacy of conversional OAGB after primary SG in the management of patients with obesity. Methods: Cochrane, Embase, PubMed, Scopus, and Web of Science were searched for articles from their inception to February 2023 by two independent reviewers using the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) system. The review was registered prospectively with PROSPERO (CRD42023403528). Results: From 1,117 studies screened, twenty studies met the eligibility criteria, with a total of 1,057 patients with obesity undergoing conversional OAGB after primary SG. The mean age ranged from 28.2 to 49.5 years, and 744 patients (75.2%) were women. At one year after revisional OAGB, the pooled mean percent excess weight loss (%EWL) was 65.2% (95%CI: 56.9, 73.4, I2 = 97%). The pooled mean %EWL after conversional OAGB was 71.1% (95%CI: 62.2, 80.0, I2 = 90%) at two years and 71.6% (95%CI: 61.0, 82.2, I2 = 50%) at five years. Additionally, resolution rates of diabetes and hypertension were 65.4% (95%CI: 0.522, 0.785, I2 = 65%) and 58.9% (95%CI: 0.415, 0.762, I2 = 89%), respectively. Conclusions: Our meta-analysis demonstrated OAGB as an effective conversional procedure after primary SG in terms of weight loss and obesity-associated medical problems for selected patients. Despite the promising results, further randomized controlled studies with larger sample sizes and more extended follow-up periods are necessary to determine if the OAGB is the best conversional surgery after SG. [ABSTRACT FROM AUTHOR]
Published: 2024
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23. This Anxiety Disorder Causes Stroke and Heart Attack

Author: Scott Davis
Subjects: meditation and anxiety, separation anxiety in adults, mindfulness meditation anxiety, best meditation for anxiety, anxiety attack symptoms in adults, guided meditation for anxiety and sleep, add and anxiety in adults, anxiety meditation, anxiety attack cure, anxiety cure, anti anxiety meditation, anxiety in adults, signs of ocd in adults
Abstract: Anxiety feels horrible in every way possible. But in most cases, it’s not considered dangerous to your physical health. Except it is, according to a new study published in the journal Sleep.
Published: 2023
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24. Implementing palliative care in hepatocellular carcinoma ambulatory clinics—study protocol for Accelerated translational research in PRImary liver CAncer (APRICA) randomised controlled palliative care trial

Author: Cameron Gofton, Anna Di Bartolomeo, Rose Boutros, Yvonne A. Zurynski, Fiona Stafford-Bell, Kim Caldwell, Geoffrey McCaughan, Amany Zekry, Simone I. Strasser, Miriam Levy, Caitlin Sheehan, Stephen Goodall, Jan Maree Davis, Linda Sheahan, Ken Liu, Sally Greenaway, Scott Davison, Thang Du Huynh, Zujaj Quadri, Meera Agar, and Jacob George
Subjects: Medicine (General), R5-920
Abstract: Abstract Background Integration of symptom and palliative care for people with advanced cancer is established in many tumour types, but its role in people with hepatocellular carcinoma (HCC) has not been clearly defined. This study aims to evaluate the clinical and cost effectiveness of an intervention involving a suite of strategies designed to assess and treat palliative care symptoms and needs in adult outpatients with HCC attending four New South Wales (NSW) metropolitan tertiary hospitals. Methods This trial will use a pragmatic cluster-based randomised-controlled design, with ambulatory HCC services as the clusters. HCC patients will be recruited if they have Barcelona Clinical Liver Cancer (BCLC) stage A disease with active tumour or a current or prior diagnosis of BCLC stage B or C disease regardless of tumour activity. Patients with BCLC stage D disease will be excluded as palliative care is the standard of care (SOC) in this group. Cluster sites will be randomised to the study intervention or control where patients are managed according to SOC. All participants will complete the liver-specific Edmonton Symptom Assessment Scale (ESAS) and European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire at regular ambulatory clinic appointments. At intervention sites, patients scoring ≥ 5 on any liver-specific ESAS symptom will be referred to palliative care physicians for consultation. The primary clinical outcome will be improvement in all symptoms scored ≥ 5 on the liver-specific ESAS by 50% within 3 months and the primary implementation outcome will recording the liver-specific ESAS in ≥ 80% of all participants attending clinic appointments. Caregivers of patients enrolled in the trial will be invited to perform Carer Support Needs Assessment Tool at each appointment. Discussion This trial will inform if earlier palliative care involvement significantly reduces the symptom burden associated with HCC. If found to be effective, earlier implementation of palliative care consultation should be included in HCC treatment guidelines. Trial registration ACTRN12623000010695. Registered on September 1, 2023.
Published: 2024
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25. Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker

Author: Scott Davis, Kaci L Pickett, Krithika Suresh, Elizabeth Juarez-Colunga, and Kristen Campbell
Subjects: Medicine (General), Computational complexity theory, Variable importance, Epidemiology, Computer science, Health Informatics, Machine learning, computer.software_genre, Machine Learning, R5-920, Joint modeling, Humans, Computer Simulation, Proportional Hazards Models, Area under the curve, business.industry, Proportional hazards model, Research, Nonparametric statistics, Prediction accuracy, Variable (computer science), Landmarking, Predictive power, Metric (unit), Artificial intelligence, business, computer, Model building, Predictive modelling, Algorithms, Biomarkers
Abstract: Background Risk prediction models for time-to-event outcomes play a vital role in personalized decision-making. A patient’s biomarker values, such as medical lab results, are often measured over time but traditional prediction models ignore their longitudinal nature, using only baseline information. Dynamic prediction incorporates longitudinal information to produce updated survival predictions during follow-up. Existing methods for dynamic prediction include joint modeling, which often suffers from computational complexity and poor performance under misspecification, and landmarking, which has a straightforward implementation but typically relies on a proportional hazards model. Random survival forests (RSF), a machine learning algorithm for time-to-event outcomes, can capture complex relationships between the predictors and survival without requiring prior specification and has been shown to have superior predictive performance. Methods We propose an alternative approach for dynamic prediction using random survival forests in a landmarking framework. With a simulation study, we compared the predictive performance of our proposed method with Cox landmarking and joint modeling in situations where the proportional hazards assumption does not hold and the longitudinal marker(s) have a complex relationship with the survival outcome. We illustrated the use of the RSF landmark approach in two clinical applications to assess the performance of various RSF model building decisions and to demonstrate its use in obtaining dynamic predictions. Results In simulation studies, RSF landmarking outperformed joint modeling and Cox landmarking when a complex relationship between the survival and longitudinal marker processes was present. It was also useful in application when there were several predictors for which the clinical relevance was unknown and multiple longitudinal biomarkers were present. Individualized dynamic predictions can be obtained from this method and the variable importance metric is useful for examining the changing predictive power of variables over time. In addition, RSF landmarking is easily implementable in standard software and using suggested specifications requires less computation time than joint modeling. Conclusions RSF landmarking is a nonparametric, machine learning alternative to current methods for obtaining dynamic predictions when there are complex or unknown relationships present. It requires little upfront decision-making and has comparable predictive performance and has preferable computational speed.
Published: 2021

26. From unemployment to self-employment: The role of entrepreneurship training

Author: Scott Davis and Marios Michaelides
Subjects: Organizational Behavior and Human Resource Management, Economics and Econometrics, Labour economics, Entrepreneurship, unemployment, start-up, media_common.quotation_subject, entrepreneurship, Training (civil), Great recession, j6, h4, 0502 economics and business, Economics, reemployment, Salary, 050207 economics, media_common, Earnings, entrepreneurship training, 05 social sciences, Labor policy. Labor and the state, policy evaluation, HD7795-8027, self-employment, small business, Industrial relations, Unemployment, 050203 business & management, Self-employment, great recession
Abstract: We present experimental evidence on the effects of entrepreneurship training for unemployed workers in the U.S. at two different stages in the business cycle. In the context of a strong economy, training helped training participants – particularly those with prior self-employment experience – to start a business and become self-employed, while it may have persuaded others to pursue salary employment instead. During the Great Recession, training helped training participants become self-employed, particularly those with no prior self-employment experience. Regardless of economic conditions, positive impacts on self-employment were partly or largely offset by reductions in regular employment. These findings indicate that entrepreneurship training may help unemployed workers to become self-employed at different stages of the business cycle, but there is weak evidence that it can be an effective policy for combating unemployment, particularly during recessions.
Published: 2020

27. Conditioning-induced expression of novel glucose transporters in canine skeletal muscle homogenate.

Author: Barrett, Montana Renae and Scott Davis, Michael
Subjects: *SKELETAL muscle, *SLED dog racing, *GLUCOSE transporters, *INSULIN sensitivity, *DOG training
Abstract: Athletic conditioning can increase the capacity for insulin-stimulated skeletal muscle glucose uptake through increased sarcolemmal expression of GLUT4 and potentially additional novel glucose transporters. We used a canine model that has previously demonstrated conditioning-induced increases in basal, insulin- and contraction-stimulated glucose uptake to identify whether expression of glucose transporters other than GLUT4 was upregulated by athletic conditioning. Skeletal muscle biopsies were obtained from 12 adult Alaskan Husky racing sled dogs before and after a full season of conditioning and racing, and homogenates from those biopsies were assayed for expression of GLUT1, GLUT3, GLUT4, GLUT6, GLUT8, and GLUT12 using western blots. Athletic conditioning resulted in a 1.31 ± 0.70 fold increase in GLUT1 (p <0.0001), 1.80 ± 1.99 fold increase in GLUT4 (p = 0.005), and 2.46 ± 2.39 fold increase in GLUT12 (p = 0.002). The increased expression of GLUT1 helps explain the previous findings of conditioning-induced increases in basal glucose clearance in this model, and the increase in GLUT12 provides an alternative mechanism for insulin- and contraction-mediated glucose uptake and likely contributes to the substantial conditioning-induced increases in insulin sensitivity in highly trained athletic dogs. Furthermore, these results suggest that athletic dogs can serve as a valuable resource for the study of alternative glucose transport mechanisms in higher mammals. [ABSTRACT FROM AUTHOR]
Published: 2023
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28. Combining laparoscopic giant paraesophageal hernia repair with sleeve gastrectomy in obese patients

Author: Patel, Ankit D., Lin, Edward, Lytle, Nathaniel W., Toro, Juan P., Srinivasan, Jahnavi, Singh, Arvinpal, Sweeney, John F., and Scott Davis, Jr., S.
Published: 2015
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29. Civil War Atlanta

Author: Robert Scott Davis
Published: 2011

30. Warcraft and the Fragility of Virtue: An Essay in Aristotelian Ethics

Author: G. Scott Davis
Published: 2011

31. Serious Microhydro: Water Power Solutions from the Experts

Author: Scott Davis
Published: 2010

32. Discovery and preclinical evaluation of anti-miR-17 oligonucleotide RGLS4326 for the treatment of polycystic kidney disease

Author: Michael Kim, Mandeep Takhar, S. Neben, John R. Androsavich, Tania Valencia, Vishal Patel, Philip Bentley, Kara Kersjes, Scott Davis, Edmund C. Lee, Tiffany Chu, Randy Soriano, Jian Li, Sole Gatto, Kai Liu, Salma Sarwary, Andrea Flaten, Adam Pavlicek, Steven Lockton, Matanel Yheskel, Charles R. Allerson, Wright Timothy, Julia Kaplan, Graham Jang, Tate Owen, and Annelie Schairer
Subjects: 0301 basic medicine, Male, Oligonucleotides, General Physics and Astronomy, Disease, urologic and male genital diseases, 0302 clinical medicine, Polycystic kidney disease, Medicine, Cyst, Gene Regulatory Networks, Tissue Distribution, lcsh:Science, Kidney, Polycystic Kidney Diseases, Multidisciplinary, Pharmaceutics, female genital diseases and pregnancy complications, 3. Good health, medicine.anatomical_structure, Kidney Tubules, 030220 oncology & carcinogenesis, miRNAs, Science, Autosomal dominant polycystic kidney disease, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, Polysome, Animals, Humans, RNA, Messenger, Gene, Cell Proliferation, PKD1, Base Sequence, business.industry, urogenital system, General Chemistry, medicine.disease, Hematopoiesis, Mice, Inbred C57BL, Disease Models, Animal, Macaca fascicularis, MicroRNAs, 030104 developmental biology, Cancer research, lcsh:Q, business, HeLa Cells
Abstract: Autosomal dominant polycystic kidney disease (ADPKD), caused by mutations in either PKD1 or PKD2 genes, is one of the most common human monogenetic disorders and the leading genetic cause of end-stage renal disease. Unfortunately, treatment options for ADPKD are limited. Here we report the discovery and characterization of RGLS4326, a first-in-class, short oligonucleotide inhibitor of microRNA-17 (miR-17), as a potential treatment for ADPKD. RGLS4326 is discovered by screening a chemically diverse and rationally designed library of anti-miR-17 oligonucleotides for optimal pharmaceutical properties. RGLS4326 preferentially distributes to kidney and collecting duct-derived cysts, displaces miR-17 from translationally active polysomes, and de-represses multiple miR-17 mRNA targets including Pkd1 and Pkd2. Importantly, RGLS4326 demonstrates a favorable preclinical safety profile and attenuates cyst growth in human in vitro ADPKD models and multiple PKD mouse models after subcutaneous administration. The preclinical characteristics of RGLS4326 support its clinical development as a disease-modifying treatment for ADPKD., Autosomal dominant polycystic kidney disease (ADPKD) is a leading genetic cause of end-stage renal disease with limited treatment options. Here the authors discover and characterize a microRNA inhibitor as a potential treatment for ADPKD.
Published: 2019

33. Richard Rorty and the pragmatic turn in the study of religion

Author: Scott Davis, G.
Published: 2009
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34. A scalable tool for adjudication of time sensitive cases during COVID-19 pandemic

Author: Michael L. Williford, John F. Sweeney, Scott D. Boden, Matthew A. Klopman, S. Scott Davis, and Scott Isenburg
Subjects: Survivability, Database design, Article, 03 medical and health sciences, 0302 clinical medicine, Resource (project management), Multidisciplinary approach, Health care, Pandemic, Medicine, Humans, Pandemics, Adjudication, Retrospective Studies, COVID, business.industry, SARS-CoV-2, COVID-19, Case, medicine.disease, Time sensitive, Elective Surgical Procedures, 030220 oncology & carcinogenesis, Scalability, 030211 gastroenterology & hepatology, Surgery, Medical emergency, business
Abstract: Background During the COVID-19 pandemic, prioritization of care and utilization of scarce resources are daily considerations in healthcare systems that have never experienced these issues before. Elective surgical cases have been largely postponed, and surgery departments are struggling to correctly and equitably determine which cases need to proceed. A resource to objectively prioritize and track time sensitive cases would be useful as an adjunct to clinical decision-making. Methods A multidisciplinary working group at Emory Healthcare developed and implemented an adjudication tool for the prioritization of time sensitive surgeries. The variables identified by the team to form the construct focused on the patient’s survivability according to actuarial data, potential impact on function with delay in care, and high-level biology of disease. Implementation of the prioritization was accomplished with a database design to streamline needed communication between surgeons and surgical adjudicators. All patients who underwent time sensitive surgery between 4/10/20 and 6/15/20 across 5 campuses were included. Results The primary outcomes of interest were calculated patient prioritization score and number of days until operation. 1767 cases were adjudicated during the specified time period. The distribution of prioritization scores was normal, such that real-time adjustment of the empiric algorithm was not required. On retrospective review, as the patient prioritization score increased, the number of days to the operating room decreased. This confirmed the functionality of the tool and provided a framework for organization across multiple campuses. Conclusions We developed an in-house adjudication tool to aid in the prioritization of a large cohort of canceled and time sensitive surgeries. The tool is relatively simple in its design, reproducible, and data driven which allows for an objective adjunct to clinical decision-making. The database design was instrumental in communication optimization during this chaotic period for patients and surgeons.
Published: 2020
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35. microRNA-17 family promotes polycystic kidney disease progression through modulation of mitochondrial metabolism

Author: John R. Androsavich, Joshua A. Johnson, Andrea Flaten, Matanel Yheskel, William L. Holland, Xueqing Liu, Marie Trudel, Peter Igarashi, Christine M. Kusminski, Mehran Sorourian, Sachin Hajarnis, Edmund C. Lee, Jian Li, Shanrong Zhang, Karam Aboudehen, Darren P. Wallace, Philipp E. Scherer, Steven Lockton, Kara Kersjes, Scott Davis, Peter C. Harris, Vivek Kaimal, Darren Williams, Ronak Lakhia, Vishal Patel, and Ryan R. Galasso
Subjects: Male, 0301 basic medicine, medicine.medical_specialty, Science, Autosomal dominant polycystic kidney disease, General Physics and Astronomy, Mitochondrion, Biology, Kidney, urologic and male genital diseases, Kidney cysts, Article, General Biochemistry, Genetics and Molecular Biology, Mice, 03 medical and health sciences, 0302 clinical medicine, Downregulation and upregulation, Internal medicine, microRNA, medicine, Polycystic kidney disease, Animals, Humans, Cyst, Phosphorylation, Cell Proliferation, Mice, Knockout, Cystic kidney, Polycystic Kidney Diseases, Multidisciplinary, urogenital system, General Chemistry, Polycystic Kidney, Autosomal Dominant, medicine.disease, female genital diseases and pregnancy complications, Mitochondria, Up-Regulation, 3. Good health, Disease Models, Animal, MicroRNAs, 030104 developmental biology, Endocrinology, 030220 oncology & carcinogenesis, Disease Progression, Female, medicine.symptom, Gene Deletion
Abstract: Autosomal dominant polycystic kidney disease (ADPKD) is the most frequent genetic cause of renal failure. Here we identify miR-17 as a target for the treatment of ADPKD. We report that miR-17 is induced in kidney cysts of mouse and human ADPKD. Genetic deletion of the miR-17∼92 cluster inhibits cyst proliferation and PKD progression in four orthologous, including two long-lived, mouse models of ADPKD. Anti-miR-17 treatment attenuates cyst growth in short-term and long-term PKD mouse models. miR-17 inhibition also suppresses proliferation and cyst growth of primary ADPKD cysts cultures derived from multiple human donors. Mechanistically, c-Myc upregulates miR-17∼92 in cystic kidneys, which in turn aggravates cyst growth by inhibiting oxidative phosphorylation and stimulating proliferation through direct repression of Pparα. Thus, miR-17 family is a promising drug target for ADPKD, and miR-17-mediated inhibition of mitochondrial metabolism represents a potential new mechanism for ADPKD progression., Autosomal dominant polycystic kidney disease (ADPKD) is a life-threatening genetic disease that leads to renal failure. Here Hajarnis et al. show that miR-17 modulates cyst progression in ADPKD through metabolic reprogramming of mitochondria and its inhibition slows cyst development and improves renal functions.
Published: 2017

36. Lessons From the Titans: What Companies in the New Economy Can Learn From the Great Industrial Giants to Drive Sustainable Success

Author: Scott Davis, Carter Copeland, Rob Wertheimer, Scott Davis, Carter Copeland, and Rob Wertheimer
Subjects: Corporations--Case studies, Success in business--Case studies, Strategic planning--Case studies, Technological innovations--Management--Case studies
Abstract: Three top Wall Street analysts reveal enduring lessons in sustainable success from the great industrial titans—the high-tech companies of their day—to the disruptors that now dominate the economy. Before Silicon Valley disrupted the world with new technologies and business models, America's industrial giants paved the way. Companies like General Electric, United Technologies, and Caterpillar were the Google and Amazon of their day, setting gold standards in innovation, growth, and profitability. Today's leaders can learn a great deal from their successes, as well as their missteps. In this essential guide, three veteran Wall Street analysts reveal timeless lessons from the titans of industry—and offer battle-tested survival tactics for an ever-changing world. You'll learn: how GE became the largest company on earth—only for a culture of arrogance to set in motion the largest collapse in history how Boeing reassessed risks, raised profits—and tragically lost its balance how Danaher avoided the pitfalls of tremendous success—by continually reinventing itself how Honeywell experienced a near-fatal cultural breakdown—and executed a flawless turnaround how Caterpillar relied too much on forecasting, lost billions—and rallied by recommitting to the basics Filled with illuminating case studies and brilliant in-depth analysis, this invaluable book provides a multitude of insights that will help you weather market upheavals, adapt to disruptions, and optimize your resources to your best advantage. You'll learn hard-won lessons in innovation, growth, resilience, and operational excellence, as well as the time-proven fundamentals of continuous improvement for lasting success. In the end, you'll have your own personal toolbox of useful takeaways from more than a century's worth of data, experience, wisdom, and can-do spirit, courtesy of some of the greatest business enterprises of all time. This is how manufacturers survived the first disruptors of technology—and how today's giants can survive and thrive during continuous cycles of disruption.
Published: 2020

37. The SAGES Manual of Hernia Surgery

Author: S. Scott Davis, Jr, Gregory Dakin, Andrew Bates, S. Scott Davis, Jr, Gregory Dakin, and Andrew Bates
Subjects: Surgery--Complications, Hernia--Surgery--Handbooks, manuals, etc
Abstract: This edition of the SAGES Manual of Hernia Surgery aligns with the current version of the new SAGES University MASTERS Program Hernia Surgery pathway. This manual serves as a curriculum for participants in the MASTERS Program as well as a modern text on hernia surgery for all learners. Hernia surgery is one of the fastest developing fields in general surgery today. There have been rapid advancements in hernia techniques in recent years, making most prior texts on the subject obsolete. These advancements involve significant evolution in both the techniques and strategies for hernia repairs, as well as the tools used to achieve these means. This text thoroughly addresses the multiple component separation techniques and options for locations of mesh repairs. It also discusses the revolution of hernia repair being facilitated by robotic surgery, which allows increased access to minimally invasive techniques for surgeons and thus increased access to minimally invasive surgicalrepairs for patients. This manual will be a valuable resource for interested surgeons to understand the variety of potential approaches to individual hernias, and to individually tailor the care of the hernia patient.
Published: 2019

38. Lower Tacrolimus Exposure and Time in Therapeutic Range Increase the Risk of De Novo Donor-Specific Antibodies in the First Year of Kidney Transplantation

Author: Scott Davis, Suhong Tong, Brian M. Freed, Patrick Klem, Gina Wedermyer, Alexander C. Wiseman, James E. Cooper, and Jane Gralla
Subjects: Graft Rejection, Male, medicine.medical_specialty, Adverse outcomes, medicine.medical_treatment, Urology, Time in therapeutic range, 030204 cardiovascular system & hematology, 030230 surgery, Kidney Function Tests, Article, Tacrolimus, 03 medical and health sciences, 0302 clinical medicine, Therapeutic index, Postoperative Complications, HLA Antigens, Isoantibodies, Risk Factors, Immunology and Allergy, Medicine, Humans, Pharmacology (medical), Kidney transplantation, Retrospective Studies, Transplantation, business.industry, Donor specific antibodies, Graft Survival, Immunosuppression, Middle Aged, medicine.disease, Prognosis, Kidney Transplantation, Tissue Donors, Surgery, Survival Rate, Cohort, Kidney Failure, Chronic, Female, business, Immunosuppressive Agents, Follow-Up Studies, Glomerular Filtration Rate
Abstract: De novo donor-specific antibodies (dnDSA) have been associated with reduced graft survival. Tacrolimus (TAC)-based regimens are the most common immunosuppression used in in clinical practice today, yet an optimal therapeutic dose to prevent dnDSA has not been established. We evaluated mean TAC C0 and TAC time in therapeutic range for the risk of dnDSA in a cohort of 538 patients in the first year of kidney transplant. A mean TAC C0 < 8 ng/ml was associated with dnDSA by 6 months (OR 2.51, 95% CI 1.32-4.79, p=0.005) and by 12 months (OR 2.32, 95% CI 1.30-4.15, p=0.004) and there was a graded increase in risk with lower mean TAC C0. TAC time in therapeutic range of < 60% was associated with dnDSA (OR 2.05, 95% CI 1.28-3.30, p=0.003) and acute rejection (HR 4.18, 95% CI 2.31-7.58, p
Published: 2017

39. Sodium methylthiolate as an efficient deprotecting agent for dicobalt hexacarbonyl complexes of acetylenes

Author: Scott Davis, D. and Shadinger, Sylvia C.
Published: 1999
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40. The Good Business Initiative (<特集>GBIポストグローバル時代の価値創造企業とは)

Author: Scott, Davis
Published: 2013

41. Utility of Magnetic Resonance Cholangiopancreatography in Acute Cholecystitis Management

Author: Nadeem, Syed Omair, Jajja, Raheel, Scott Davis, S., Sharma, Jyotirmay, and Sarmiento, Juan Manuel
Published: 2020
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42. Fixed or rotating night shift work undertaken by women: implications for fertility and miscarriage

Author: Renae C Fernandez, Scott Davis, Alice R. Rumbold, Jennifer L. Marino, Hannah M. Brown, Michael J. Davies, Vivienne M. Moore, Melissa J. Whitrow, Tamara J. Varcoe, Lisa J. Moran, Fernandez, Renae C, Marino, Jennifer L, Varcoe, Tamara J, Davis, Scott, Moran, Lisa J, Rumbold, Alice R, Brown, Hannah M, Whitrow, Melissa J, Davies, Michael J, and Moore, Vivienne M
Subjects: medicine.medical_specialty, Time Factors, Endocrinology, Diabetes and Metabolism, media_common.quotation_subject, Population, miscarriage, Personnel Staffing and Scheduling, Fertility, Workload, Abortion, Risk Assessment, Miscarriage, Shift work, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Pregnancy, Risk Factors, Work Schedule Tolerance, Physiology (medical), medicine, Humans, education, night shift work, Life Style, Reproductive health, media_common, Gynecology, fertility, education.field_of_study, 030219 obstetrics & reproductive medicine, business.industry, Reproduction, Obstetrics and Gynecology, medicine.disease, Abortion, Spontaneous, Schedule (workplace), shift work, Reproductive Medicine, Female, pregnancy, business, Infertility, Female, 030217 neurology & neurosurgery, Demography
Abstract: This review summarizes the evidence concerning effects of night shift work on women's reproductive health, specifically difficulty in conceiving and miscarriage. We distinguish between fixed night shift and rotating night shift, as the population subgroups exposed, the social and biological mechanisms, and the magnitude of effects are likely to differ; of note, women working fixed night shift are known to have high tolerance for this schedule. We identified two relevant systematic reviews with meta-analyses and five additional studies. Night shift work may give rise to menstrual cycle disturbances, but effect sizes are imprecise. Endometriosis may be elevated in night shift workers, but evidence is only preliminary. Adequate data are lacking to assess associations between night shift work and infertility or time to pregnancy. The weight of evidence begins to point to working at night, whether in fixed or rotating shifts, as a risk factor for miscarriage. There are many methodological problems with this literature, with substantial variation in the definitions of night shift and schedule types making comparisons between studies difficult and pooling across studies questionable. Nevertheless, there appears to be grounds for caution and counselling where women have concerns about night shift work and their reproductive health. Refereed/Peer-reviewed
Published: 2016

43. Human Leukocyte Antigen Class I and II Alleles and Overall Survival in Diffuse Large B-Cell Lymphoma and Follicular Lymphoma

Author: Amr M. Abdou, Scott Davis, Lindsay M. Morton, James R. Cerhan, Yani Lu, Nathaniel Rothman, Leslie Bernstein, Patricia Hartge, Stephen J. Chanock, Wendy Cozen, Sophia S. Wang, and Richard K. Severson
Subjects: Oncology, Male, Follicular lymphoma, Genes, MHC Class I, lcsh:Medicine, lcsh:Technology, 0302 clinical medicine, immune system diseases, hemic and lymphatic diseases, lcsh:Science, Lymphoma, Follicular, General Environmental Science, education.field_of_study, Hazard ratio, General Medicine, Middle Aged, 3. Good health, Survival Rate, 030220 oncology & carcinogenesis, Chromosomal region, Chromosomes, Human, Pair 6, Female, Lymphoma, Large B-Cell, Diffuse, medicine.medical_specialty, Article Subject, tumor necrosis factor, Population, Genes, MHC Class II, diffuse large B-cell lymphoma, Human leukocyte antigen, Biology, survival, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, follicular lymphoma, human leukocyte antigen, Internal medicine, medicine, Humans, education, Survival rate, Alleles, lcsh:T, lcsh:R, medicine.disease, Lymphoma, Immunology, Multivariate Analysis, Clinical Study, lcsh:Q, Diffuse large B-cell lymphoma, 030215 immunology
Abstract: Genetic variation in the 6p21 chromosomal region, including human leukocyte antigen (HLA) genes and tumor necrosis factor (TNF), has been linked to both etiology and clinical outcomes of lymphomas. We estimated the effects ofHLAclass I (A, B, and C), class IIDRB1alleles, and the ancestral haplotype (AH) 8.1 (HLAA*01-B*08-DRB1*03-TNF-308A) on overall survival (OS) among patients with diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) in a population-based study of non-Hodgkin lymphoma. During a median followup of 89 months, 31% (52 of 166) DLBCL and 28% (46 of 165) FL patients died. Using multivariate Cox regression models, we observed statistically significant associations between genetic variants and survival:HLA-Cw*07:01was associated with poorer OS among DLBCL patients (Hazard ratio [HR] = 1.76, 95% confidence interval [CI] = 1.01–3.05);HLA-A*01:01was associated with poorer OS (HR = 2.23, 95% CI = 1.24–4.01), andHLA-DRB1*13(HR = 0.12, 95% CI = 0.02–0.90) andHLA-B Bw4(HR = 0.36, 95% CI = 0.20–0.63) with better OS among FL patients. These results support a role forHLAin the prognosis of DLBCL and FL and represent a promising class of prognostic factors that warrants further evaluation.
Published: 2011

44. Polymorphisms in DNA Repair and One-Carbon Metabolism Genes and Overall Survival in Diffuse Large B-Cell Lymphoma (DLBCL) and Follicular Lymphoma

Author: Richard K. Severson, Scott Davis, Charles F. Lynch, Matthew J. Maurer, James R. Cerhan, Sophia S. Wang, Stephen J. Chanock, Nathaniel Rothman, Wendy Cozen, Patricia Hartge, Lindsay M. Morton, and Thomas M. Habermann
Subjects: Adult, Male, Risk, Cancer Research, medicine.medical_specialty, DNA Repair, DNA repair, Follicular lymphoma, Kaplan-Meier Estimate, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Young Adult, 0302 clinical medicine, immune system diseases, hemic and lymphatic diseases, Internal medicine, Genotype, medicine, Humans, Gene, Lymphoma, Follicular, 030304 developmental biology, Aged, Proportional Hazards Models, 0303 health sciences, Hematology, Models, Genetic, Gene Expression Profiling, Genetic Variation, Middle Aged, medicine.disease, Prognosis, Carbon, 3. Good health, Lymphoma, Neoplasm Proteins, Gene expression profiling, Oncology, ROC Curve, 030220 oncology & carcinogenesis, Cancer research, Female, Lymphoma, Large B-Cell, Diffuse, Diffuse large B-cell lymphoma
Abstract: Polymorphisms in DNA repair and one-carbon metabolism genes and overall survival in diffuse large B-cell lymphoma and follicular lymphoma
Published: 2008

45. Search for short baseline nu(e) disappearance with the T2K near detector

Author: D. Brailsford, R. Poutissou, P. Bartet-Friburg, Takaaki Kajita, Y. Shustrov, K. Zaremba, M. Wallbank, H. K. Tanaka, Atsushi Takeda, A. Redij, K. Nishikawa, M. G. Catanesi, A. Blondel, K. Iwamoto, S. L. Cartwright, Jan T. Sobczyk, A. Kilinski, A. Zalewska, E. Rondio, C. Hearty, N. McCauley, K. Connolly, R. Terri, K. Huang, P. Przewlocki, M. Ziembicki, Susumu Takahashi, J. Zalipska, J. Insler, Y. Petrov, D. Terhorst, M. A.M. Rayner, T. Wongjirad, T. Okusawa, S. Y. Suzuki, M. R. Vagins, A. Murakami, K. Sakashita, E. Larkin, S. M. Oser, T. Maruyama, M. Barbi, Alyssa Garcia, M. Bass, A. C. Kaboth, A. Hillairet, J. R. Wilson, C. Nielsen, A. T. Suzuki, J. Holeczek, S. B. Boyd, K. Nakayoshi, T. Ovsyannikova, S. Murphy, F. Sato, R. Castillo, Yuichi Oyama, N. Buchanan, R. P. Litchfield, Y. Seiya, J. Adam, Artur F. Izmaylov, M. Mezzetto, J. Caravaca Rodríguez, H.A. Tanaka, M. J. Wilking, J. H. Jo, J. P. Lopez, J. F. Martin, D. Cherdack, T. Ishii, D. Autiero, T. Nakadaira, C. Nantais, E. Radicioni, G.D. Barr, S. Assylbekov, Koji Yamamoto, R. L. Helmer, M. Ravonel, K. Abe, J. Steinmann, F. Di Lodovico, D. L. Wark, C. W. Walter, C. Riccio, Akitaka Ariga, S. Berkman, M. Zito, M. Tada, D. J. Payne, Antonin Vacheret, Leïla Haegel, L. L. Kormos, P. Rojas, Yu. G. Kudenko, R. Sacco, S. Manly, P. Hamilton, M. Yu, C. McGrew, L. Koch, J. Zmuda, F. Bay, G. A. Fiorentini, J. L. Palomino, L. Magaletti, C. Giganti, Y. Hayato, C. Andreopoulos, Ko Okumura, Shigeki Aoki, A. N. Khotjantsev, S. Bolognesi, L. Pickard, V. Galymov, André Rubbia, M. Tzanov, C. J. Metelko, P. A. Rodrigues, Jan Kisiel, T. Feusels, D. Shaw, J. M. Poutissou, C. Bronner, J. A. Nowak, E. Iwai, S. King, W. R. Kropp, W. Warzycha, S. Tobayama, K. Nakamura, D. R. Hadley, Yusuke Suda, T. Hayashino, G. Christodoulou, A. Clifton, K. Wakamatsu, I. Karpikov, W. H. Toki, S. Horikawa, C. Pistillo, T. Wachala, T. Tsukamoto, S. Giffin, M. M. Khabibullin, Y. Nishimura, A. Rychter, D. Goeldi, T. Akiri, K. E. Duffy, B. Smith, E. Reinherz-Aronis, K. S. McFarland, T. Hasegawa, Kentaroh Yoshida, O. Drapier, K. Mavrokoridis, F. d. M. Blaszczyk, T. Hara, E. Scantamburlo, F. Sanchez, P. Stamoulis, T. Kobayashi, J. Imber, S. R. Johnson, Hiroyuki Sekiya, S. Di Luise, V. Matveev, L. Cremonesi, Michal Dziewiecki, O. V. Mineev, B. E. Berger, M. McCarthy, C. Lister, R.P. Kurjata, Y. Kanazawa, S. Moriyama, T. Duboyski, J. D. Perkin, A. D. Marino, A. J. Finch, J. Kim, K. Gilje, E. Mazzucato, T. Sekiguchi, K. G. Nakamura, T. Koga, Y. Fukuda, Masayuki Nakahata, Y. Uchida, P. de Perio, Yoshikazu Yamada, S. Martynenko, J. Lagoda, M. B. Smy, S. R. Dennis, A. Bravar, A. Longhin, A. Thorley, A. Korzenev, Kendall Mahn, R. Shah, D. Kielczewska, M. Batkiewicz, L. Ludovici, A. Dabrowska, J. Marteau, C. A. Miller, Z. Williamson, A. Konaka, M. Sorel, G. De Rosa, A. Minamino, M. Nirkko, S. A. Dytman, L. Zambelli, C. Bojechko, R. A. Owen, Y. Takeuchi, R. J. Wilson, T. Dealtry, A. Missert, Yusuke Koshio, K. Ieki, M. Ieva, S. Dolan, T. Lindner, D. Karlen, Joshua Hignight, T. Ishida, Rhiju Das, A. Cervera, B. Jamieson, D. Ruterbories, Yasunari Suzuki, M. Miura, R. J. Wilkes, V. Palladino, M. Kabirnezhad, T. J. Irvine, D. Dewhurst, T. Yuan, M. Malek, A. Kolaceke, M. D. Haigh, Takahiro Hiraki, A. K. Ichikawa, I. Lamont, C. Wilkinson, Hiroaki Aihara, P. N. Ratoff, S. Roth, J. Kameda, T. Kutter, B. Still, P. Martins, D. Sgalaberna, R. Tacik, O. Perevozchikov, M. Friend, E. S. Pinzon Guerra, R. Ohta, S. J. Coleman, C. Yanagisawa, Teppei Katori, Masashi Tanaka, A. P. Furmanski, P. Jonsson, Th. A. Mueller, Matthew T. Reeves, C. Touramanis, M. Jiang, P. Mijakowski, C. Densham, Antonio Ereditato, N. Yershov, Gareth J. Barker, M. Hierholzer, Seiko Hirota, T. Kikawa, M. Gonin, L. Escudero, W. Oryszczak, V. Paolone, A. Jacob, H. M. O'Keeffe, Kazuhiro Suzuki, F. Shaker, P. Kitching, M. O. Wascko, K. Iyogi, E. Kearns, L. F. Thompson, E. D. Zimmerman, M. Lawe, H. W. Sobel, M. Murdoch, B. Quilain, S. Nakayama, S. Yen, Marco Laveder, J. P. Coleman, P. Sinclair, T. Yano, S. Emery-Schrenk, S. Short, N. C. Hastings, P. Plonski, R. A. Wendell, Vincenzo Berardi, G. Vasseur, Hidekazu Kakuno, Hidetoshi Kubo, A. C. Weber, M. Posiadala-Zezula, N. Grant, G. Collazuol, Mark Scott, B. A. Popov, Kate Scholberg, M. Hartz, T. Tomura, L. Southwell, J. Myslik, T. Golan, Yuki Fujii, J. Dumarchez, J. Schwehr, Scott Davis, D. Hansen, A. Himmel, R. G. Calland, D. Gudin, M. Lazos, S. Bordoni, Masashi Yokoyama, E. Poplawska, A. Mefodiev, Tsuyoshi Nakaya, C. K. Jung, Masato Shiozawa, A. Haesler, M. Ikeda, S. Bhadra, Stefan Schoppmann, Ministerio de Economía y Competitividad (España), Ministry of Education, Culture, Sports, Science and Technology (Japan), Natural Sciences and Engineering Research Council of Canada, Centre National de la Recherche Scientifique (France), Royal Society (UK), Institut de Physique Nucléaire de Lyon (IPNL), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Laboratoire Leprince-Ringuet (LLR), Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Pierre et Marie Curie - Paris 6 (UPMC), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Science and Technology Facilities Council (STFC), Abe, K., Adam, J., Aihara, H., Akiri, T., Andreopoulos, C., Aoki, S., Ariga, A., Assylbekov, S., Autiero, D., Barbi, M., Barker, G. . j., Barr, G., Bartet Friburg, P., Bass, M., Batkiewicz, M., Bay, F., Berardi, V., Berger, B. . e., Berkman, S., Bhadra, S., Blaszczyk, F. . d. . m., Blondel, A., Bojechko, C., Bolognesi, S., Bordoni, S., Boyd, S. . b., Brailsford, D., Bravar, A., Bronner, C., Buchanan, N., Calland, R. . g., Caravaca Rodríguez, J., Cartwright, S. . l., Castillo, R., Catanesi, M. . g., Cervera, A., Cherdack, D., Christodoulou, G., Clifton, A., Coleman, J., Coleman, S. . j., Collazuol, G., Connolly, K., Cremonesi, L., Dabrowska, A., Das, R., Davis, S., de Perio, P., DE ROSA, Gianfranca, Dealtry, T., Dennis, S. . r., Densham, C., Dewhurst, D., Di Lodovico, F., Di Luise, S., Dolan, S., Drapier, O., Duboyski, T., Duffy, K., Dumarchez, J., Dytman, S., Dziewiecki, M., Emery Schrenk, S., Ereditato, A., Escudero, L., Feusels, T., Finch, A. . j., Fiorentini, G. . a., Friend, M., Fujii, Y., Fukuda, Y., Furmanski, A. . p., Galymov, V., Garcia, A., Giffin, S., Giganti, C., Gilje, K., Goeldi, D., Golan, T., Gonin, M., Grant, N., Gudin, D., Hadley, D. . r., Haegel, L., Haesler, A., Haigh, M. . d., Hamilton, P., Hansen, D., Hara, T., Hartz, M., Hasegawa, T., Hastings, N. . c., Hayashino, T., Hayato, Y., Hearty, C., Helmer, R. . l., Hierholzer, M., Hignight, J., Hillairet, A., Himmel, A., Hiraki, T., Hirota, S., Holeczek, J., Horikawa, S., Huang, K., Ichikawa, A. . k., Ieki, K., Ieva, M., Ikeda, M., Imber, J., Insler, J., Irvine, T. . j., Ishida, T., Ishii, T., Iwai, E., Iwamoto, K., Iyogi, K., Izmaylov, A., Jacob, A., Jamieson, B., Jiang, M., Johnson, S., Jo, J. . h., Jonsson, P., Jung, C. . k., Kabirnezhad, M., Kaboth, A. . c., Kajita, T., Kakuno, H., Kameda, J., Kanazawa, Y., Karlen, D., Karpikov, I., Katori, T., Kearns, E., Khabibullin, M., Khotjantsev, A., Kielczewska, D., Kikawa, T., Kilinski, A., Kim, J., King, S., Kisiel, J., Kitching, P., Kobayashi, T., Koch, L., Koga, T., Kolaceke, A., Konaka, A., Kormos, L. . l., Korzenev, A., Koshio, Y., Kropp, W., Kubo, H., Kudenko, Y., Kurjata, R., Kutter, T., Lagoda, J., Lamont, I., Larkin, E., Laveder, M., Lawe, M., Lazos, M., Lindner, T., Lister, C., Litchfield, R. . p., Longhin, A., Lopez, J. . p., Ludovici, L., Magaletti, L., Mahn, K., Malek, M., Manly, S., Marino, A. . d., Marteau, J., Martin, J. . f., Martins, P., Martynenko, S., Maruyama, T., Matveev, V., Mavrokoridis, K., Mazzucato, E., Mccarthy, M., Mccauley, N., Mcfarland, K. . s., Mcgrew, C., Mefodiev, A., Metelko, C., Mezzetto, M., Mijakowski, P., Miller, C. . a., Minamino, A., Mineev, O., Missert, A., Miura, M., Moriyama, S., Mueller, T. h. . a., Murakami, A., Murdoch, M., Murphy, S., Myslik, J., Nakadaira, T., Nakahata, M., Nakamura, K. . g., Nakamura, K., Nakayama, S., Nakaya, T., Nakayoshi, K., Nantais, C., Nielsen, C., Nirkko, M., Nishikawa, K., Nishimura, Y., Nowak, J., O’Keeffe, H. . m., Ohta, R., Okumura, K., Okusawa, T., Oryszczak, W., Oser, S. . m., Ovsyannikova, T., Owen, R. . a., Oyama, Y., Palladino, Vittorio, Palomino, J. . l., Paolone, V., Payne, D., Perevozchikov, O., Perkin, J. . d., Petrov, Y., Pickard, L., Pinzon Guerra, E. . s., Pistillo, C., Plonski, P., Poplawska, E., Popov, B., Posiadala Zezula, M., Poutissou, J. M., Poutissou, R., Przewlocki, P., Quilain, B., Radicioni, E., Ratoff, P. . n., Ravonel, M., Rayner, M. . a. . m., Redij, A., Reeves, M., Reinherz Aronis, E., Riccio, Ciro, Rodrigues, P. . a., Rojas, P., Rondio, E., Roth, S., Rubbia, A., Ruterbories, D., Rychter, A., Sacco, R., Sakashita, K., Sánchez, F., Sato, F., Scantamburlo, E., Scholberg, K., Schoppmann, S., Schwehr, J., Scott, M., Seiya, Y., Sekiguchi, T., Sekiya, H., Sgalaberna, D., Shah, R., Shaker, F., Shaw, D., Shiozawa, M., Short, S., Shustrov, Y., Sinclair, P., Smith, B., Smy, M., Sobczyk, J. . t., Sobel, H., Sorel, M., Southwell, L., Stamoulis, P., Steinmann, J., Still, B., Suda, Y., Suzuki, A., Suzuki, K., Suzuki, S. . y., Suzuki, Y., Tacik, R., Tada, M., Takahashi, S., Takeda, A., Takeuchi, Y., Tanaka, H. . k., Tanaka, H. . a., Tanaka, M. . m., Terhorst, D., Terri, R., Thompson, L. . f., Thorley, A., Tobayama, S., Toki, W., Tomura, T., Touramanis, C., Tsukamoto, T., Tzanov, M., Uchida, Y., Vacheret, A., Vagins, M., Vasseur, G., Wachala, T., Wakamatsu, K., Wallbank, M., Walter, C. . w., Wark, D., Warzycha, W., Wascko, M. . o., Weber, A., Wendell, R., Wilkes, R. . j., Wilking, M. . j., Wilkinson, C., Williamson, Z., Wilson, J. . r., Wilson, R. . j., Wongjirad, T., Yamada, Y., Yamamoto, K., Yanagisawa, C., Yano, T., Yen, S., Yershov, N., Yokoyama, M., Yoshida, K., Yuan, T., Yu, M., Zalewska, A., Zalipska, J., Zambelli, L., Zaremba, K., Ziembicki, M., Zimmerman, E. . d., Zito, M., and Żmuda, J.
Subjects: Nuclear and High Energy Physics, Particle physics, Sterile neutrino, Astronomy & Astrophysics, Neutrino beam, 7. Clean energy, 01 natural sciences, High Energy Physics - Experiment, Physics, Particles & Fields, Nuclear physics, 0202 Atomic, Molecular, Nuclear, Particle And Plasma Physics, 0103 physical sciences, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], 010306 general physics, Neutrino oscillation, 0206 Quantum Physics, Neutrino flux, Physics, Science & Technology, hep-ex, 010308 nuclear & particles physics, Detector, T2K experiment, Nuclear & Particles Physics, 0201 Astronomical And Space Sciences, Physical Sciences
Abstract: 8 pages.- 6 figures, The T2K experiment has performed a search for nu(e) disappearance due to sterile neutrinos using 5.9 x 10(20) protons on target for a baseline of 280 m in a neutrino beam peaked at about 500 MeV. A sample of nu(e) CC interactions in the off-axis near detector has been selected with a purity of 63% and an efficiency of 26%. The p-value for the null hypothesis is 0.085 and the excluded region at 95% C.L. is approximately sin(2)2 theta(ee) > 0.3 for Delta m(eff)(2) > 7 eV(2)/c(4)., We thank the J-PARC staff for superb accelerator performance and the CERN NA61 collaboration for providing valuable particle production data. We acknowledge the support of MEXT, Japan; NSERC, NRC and CFI, Canada; Commissariat 'a l'Energie Atomique and Centre National de la Recherche Scientifique-Institut National de Physique Nucleaire et de Physique des Particules, France; DFG, Germany; INFN, Italy; National Science Centre (NCN), Poland; Russian Science Foundation, RFBR and Ministry of Education and Science, Russia; MINECO and European Regional Development Fund, Spain; Swiss National Science Foundation and State Secretariat for Education, Research and Innovation, Switzerland; STFC, UK; and DOE, USA. We also thank CERN for the UA1/NOMAD magnet, DESY for the HERA-B magnet mover system, NII for SINET4, the WestGrid and SciNet consortia in Compute Canada, GridPP, UK. In addition participation of individual researchers and institutions has been further supported by funds from ERC (FP7), EU; JSPS, Japan; Royal Society, UK; DOE Early Career program, USA.
Published: 2015

46. Measurement of the $\nu_{\mu}$ charged current quasi-elastic cross-section on carbon with the T2K on-axis neutrino beam

Author: Y. Nishimura, P. A. Rodrigues, C. A. Miller, E. Rondio, N. McCauley, A. Minamino, Joshua Hignight, Yoshihiro Suzuki, P. de Perio, Yoshikazu Yamada, K. Huang, T. Maruyama, P. Przewlocki, J. Caravaca Rodríguez, H.A. Tanaka, D. Brailsford, O. Drapier, M. Malek, A. Blondel, J. H. Jo, R. Poutissou, C. W. Walter, Anatoly Kopylov, Lester D.R. Thompson, P. Bartet-Friburg, A. Cervera, B. E. Berger, Masashi Tanaka, C. Nantais, V. Palladino, G.D. Barr, M. Kabirnezhad, K. Nishikawa, J. Holeczek, Jan T. Sobczyk, A. P. Furmanski, B. Quilain, M. Yu, T. Ovsyannikova, C. Pistillo, K. Nakayoshi, C. K. Jung, S. Berkman, S. Martynenko, Takaaki Kajita, J. Lagoda, T. Tomura, S. Murphy, J. M. Poutissou, C. Bronner, B. Smith, E. Reinherz-Aronis, R. L. Helmer, R. J. Wilson, A. Redij, Y. Shustrov, V. Paolone, K. Wakamatsu, Hiroyuki Sekiya, A. Jacob, L. Zambelli, I. Karpikov, S. King, B. Still, K. Iyogi, S. Bolognesi, M. R. Vagins, K. Iwamoto, P. Martins, E. Scantamburlo, P. Stamoulis, F. Sato, R. Castillo, Yuichi Oyama, Y. Fukuda, Kendall Mahn, M. Nirkko, R. P. Litchfield, M. Ravonel, A. Rychter, W. R. Kropp, O. V. Mineev, Masato Shiozawa, R.P. Kurjata, P. Rojas, M. Mezzetto, M. Ieva, Akitaka Ariga, Ko Okumura, E. D. Zimmerman, R. Shah, W. Warzycha, Shigeki Aoki, L. Pickard, S. Giffin, S. Assylbekov, Koji Yamamoto, J. P. Lopez, F. Hosomi, Susumu Takahashi, S. Tobayama, A. Zalewska, Federico Sanchez, Y. Takeuchi, I. Z. Danko, M. B. Smy, K. Abe, A. Murakami, Yu. Kudenko, V. Matveev, K. Nakamura, Takahiro Hiraki, M. A.M. Rayner, T. Wongjirad, S. Manly, G. De Rosa, Leïla Haegel, R. A. Owen, A. K. Ichikawa, S. Roth, J. Kameda, S. A. Dytman, K. Sakashita, A. Haesler, R. Tacik, O. Perevozchikov, D. Payne, S. J. Coleman, Antonin Vacheret, V. Galymov, M. Ikeda, S. Bhadra, S. M. Oser, T. Hayashino, C. Hearty, D. R. Hadley, M. M. Khabibullin, E. S. Pinzon Guerra, S. B. Boyd, Th. A. Mueller, A. Garcia, M. Miura, R. Ohta, Stefan Schoppmann, G. Christodoulou, M. Ziembicki, Matthew T. Reeves, M. Barbi, M. Tzanov, P. Mijakowski, J. Zalipska, J. Insler, T. Yuan, T. Sekiguchi, D. Ruterbories, S. Horikawa, C. J. Metelko, T. Ishii, Y. Seiya, T. Wachala, L. Ludovici, André Rubbia, S. Bordoni, C. Touramanis, R. Terri, E. Mazzucato, M. Jiang, S. Moriyama, M. Zito, T. J. Irvine, F. Bay, A. Hillairet, Hiroaki Aihara, H. M. O'Keeffe, S. R. Johnson, Antonio Ereditato, N. Yershov, P. N. Ratoff, Hidekazu Kakuno, M. Sorel, T. Kutter, R. A. Wendell, Masayuki Nakahata, M. McCarthy, A. Thorley, Y. Uchida, C. Riccio, S. L. Cartwright, A. Korzenev, Kevin Scott McFarland, Vincenzo Berardi, Kazuhiro Suzuki, C. Ferchichi, E. Larkin, T. Feusels, A. Longhin, M. Friend, K. Connolly, G. A. Fiorentini, S. Short, H. K. Tanaka, N. C. Hastings, P. Plonski, J. Marteau, Z. Williamson, Teppei Katori, L. L. Kormos, A. Clifton, M. J. Wilking, P. Kitching, K. Mavrokoridis, F. d. M. Blaszczyk, Michal Dziewiecki, M. G. Catanesi, K. Gilje, Alexander Finch, D. Shaw, T. Hasegawa, M. Lawe, Rhiju Das, H. W. Sobel, Y. Kanazawa, A. Konaka, L. Southwell, J. Myslik, Jan Kisiel, T. Dealtry, A. Missert, Artur F. Izmaylov, M. O. Wascko, D. Terhorst, J. D. Perkin, W. H. Toki, B. Jamieson, E. Kearns, T. Tsukamoto, D. Goeldi, T. Kobayashi, S. Di Luise, Yusuke Koshio, M. D. Haigh, L. Cremonesi, K. G. Nakamura, J. Steinmann, T. Golan, I. Lamont, Masashi Yokoyama, F. Di Lodovico, A. T. Suzuki, M. Murdoch, M. Tada, G. Vasseur, E. Poplawska, S. Nakayama, S. Yen, T. Yano, Marco Laveder, Hidetoshi Kubo, Kentaroh Yoshida, A. C. Weber, J. F. Martin, Yuki Fujii, D. Autiero, T. Nakadaira, P. Hamilton, J. Żmuda, K. Zaremba, Seiko Hirota, T. Ishida, T. Kikawa, D. Kielczewska, M. Batkiewicz, Yusuke Suda, L. Magaletti, C. Giganti, M. Gonin, L. Escudero, A. Dabrowska, J. A. Nowak, A. Kolaceke, E. Iwai, Atsushi Takeda, J. Dumarchez, K. E. Duffy, J. Schwehr, C. Yanagisawa, W. Oryszczak, J. Adam, A. Mefodiev, J. Yoo, N. Chikuma, D. Cherdack, J. Imber, R. Sacco, A. N. Khotjantsev, S. Dolan, T. Lindner, S. Emery-Schrenk, Scott Davis, D. Hansen, C. Densham, M. Posiadala-Zezula, N. Grant, J. L. Palomino, G. Collazuol, Mark Scott, Tsuyoshi Nakaya, Gareth J. Barker, M. Hierholzer, Y. Petrov, J. P. Coleman, A. Himmel, A. Kilinski, F. Shaker, B. A. Popov, R. G. Calland, D. Gudin, M. Lazos, N. J. Buchanan, Y. Totsuka, T. Okusawa, K. Ieki, Jungsang Kim, D. Karlen, S. Y. Suzuki, Kate Scholberg, R. J. Wilkes, M. Bass, A. C. Kaboth, M. Hartz, D. Dewhurst, C. Wilkinson, D. Sgalaberna, J. R. Wilson, C. Nielsen, C. Lister, T. Koga, E. Radicioni, D. L. Wark, C. McGrew, T. Hara, L. Koch, A. D. Marino, Y. Hayato, C. Andreopoulos, S. R. Dennis, A. Bravar, P. Jonsson, P. Sinclair, Institut de Physique Nucléaire de Lyon (IPNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire Leprince-Ringuet (LLR), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), T2K, Ministerio de Economía y Competitividad (España), Ministry of Education, Culture, Sports, Science and Technology (Japan), Natural Sciences and Engineering Research Council of Canada, Centre National de la Recherche Scientifique (France), Royal Society (UK), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Pierre et Marie Curie - Paris 6 (UPMC), Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Abe, K., Adam, J., Aihara, H., Andreopoulos, C., Aoki, S., Ariga, A., Assylbekov, S., Autiero, D., Barbi, M., Barker, G. . j., Barr, G., Bartet Friburg, P., Bass, M., Batkiewicz, M., Bay, F., Berardi, V., Berger, B. . e., Berkman, S., Bhadra, S., Blaszczyk, F. . d. . m., Blondel, A., Bolognesi, S., Bordoni, S., Boyd, S. . b., Brailsford, D., Bravar, A., Bronner, C., Buchanan, N., Calland, R. . g., Caravaca Rodríguez, J., Cartwright, S. . l., Castillo, R., Catanesi, M. . g., Cervera, A., Cherdack, D., Chikuma, N., Christodoulou, G., Clifton, A., Coleman, J., Coleman, S. . j., Collazuol, G., Connolly, K., Cremonesi, L., Dabrowska, A., Danko, I., Das, R., Davis, S., de Perio, P., DE ROSA, Gianfranca, Dealtry, T., Dennis, S. . r., Densham, C., Dewhurst, D., Di Lodovico, F., Di Luise, S., Dolan, S., Drapier, O., Duffy, K., Dumarchez, J., Dytman, S., Dziewiecki, M., Emery Schrenk, S., Ereditato, A., Escudero, L., Ferchichi, C., Feusels, T., Finch, A. . j., Fiorentini, G. . a., Friend, M., Fujii, Y., Fukuda, Y., Furmanski, A. . p., Galymov, V., Garcia, A., Giffin, S., Giganti, C., Gilje, K., Goeldi, D., Golan, T., Gonin, M., Grant, N., Gudin, D., Hadley, D. . r., Haegel, L., Haesler, A., Haigh, M. . d., Hamilton, P., Hansen, D., Hara, T., Hartz, M., Hasegawa, T., Hastings, N. . c., Hayashino, T., Hayato, Y., Hearty, C., Helmer, R. . l., Hierholzer, M., Hignight, J., Hillairet, A., Himmel, A., Hiraki, T., Hirota, S., Holeczek, J., Horikawa, S., Hosomi, F., Huang, K., Ichikawa, A. . k., Ieki, K., Ieva, M., Ikeda, M., Imber, J., Insler, J., Irvine, T. . j., Ishida, T., Ishii, T., Iwai, E., Iwamoto, K., Iyogi, K., Izmaylov, A., Jacob, A., Jamieson, B., Jiang, M., Johnson, S., Jo, J. . h., Jonsson, P., Jung, C. . k., Kabirnezhad, M., Kaboth, A. . c., Kajita, T., Kakuno, H., Kameda, J., Kanazawa, Y., Karlen, D., Karpikov, I., Katori, T., Kearns, E., Khabibullin, M., Khotjantsev, A., Kielczewska, D., Kikawa, T., Kilinski, A., Kim, J., King, S., Kisiel, J., Kitching, P., Kobayashi, T., Koch, L., Koga, T., Kolaceke, A., Konaka, A., Kopylov, A., Kormos, L. . l., Korzenev, A., Koshio, Y., Kropp, W., Kubo, H., Kudenko, Y., Kurjata, R., Kutter, T., Lagoda, J., Lamont, I., Larkin, E., Laveder, M., Lawe, M., Lazos, M., Lindner, T., Lister, C., Litchfield, R. . p., Longhin, A., Lopez, J. . p., Ludovici, L., Magaletti, L., Mahn, K., Malek, M., Manly, S., Marino, A. . d., Marteau, J., Martin, J. . f., Martins, P., Martynenko, S., Maruyama, T., Matveev, V., Mavrokoridis, K., Mazzucato, E., Mccarthy, M., Mccauley, N., Mcfarland, K. . s., Mcgrew, C., Mefodiev, A., Metelko, C., Mezzetto, M., Mijakowski, P., Miller, C. . a., Minamino, A., Mineev, O., Missert, A., Miura, M., Moriyama, S., Mueller, T. h. . a., Murakami, A., Murdoch, M., Murphy, S., Myslik, J., Nakadaira, T., Nakahata, M., Nakamura, K. . g., Nakamura, K., Nakayama, S., Nakaya, T., Nakayoshi, K., Nantais, C., Nielsen, C., Nirkko, M., Nishikawa, K., Nishimura, Y., Nowak, J., O’Keeffe, H. . m., Ohta, R., Okumura, K., Okusawa, T., Oryszczak, W., Oser, S. . m., Ovsyannikova, T., Owen, R. . a., Oyama, Y., Palladino, Vittorio, Palomino, J. . l., Paolone, V., Payne, D., Perevozchikov, O., Perkin, J. . d., Petrov, Y., Pickard, L., Pinzon Guerra, E. . s., Pistillo, C., Plonski, P., Poplawska, E., Popov, B., Posiadala Zezula, M., Poutissou, J. M., Poutissou, R., Przewlocki, P., Quilain, B., Radicioni, E., Ratoff, P. . n., Ravonel, M., Rayner, M. . a. . m., Redij, A., Reeves, M., Reinherz Aronis, E., Riccio, Ciro, Rodrigues, P. . a., Rojas, P., Rondio, E., Roth, S., Rubbia, A., Ruterbories, D., Rychter, A., Sacco, R., Sakashita, K., Sánchez, F., Sato, F., Scantamburlo, E., Scholberg, K., Schoppmann, S., Schwehr, J., Scott, M., Seiya, Y., Sekiguchi, T., Sekiya, H., Sgalaberna, D., Shah, R., Shaker, F., Shaw, D., Shiozawa, M., Short, S., Shustrov, Y., Sinclair, P., Smith, B., Smy, M., Sobczyk, J. . t., Sobel, H., Sorel, M., Southwell, L., Stamoulis, P., Steinmann, J., Still, B., Suda, Y., Suzuki, A., Suzuki, K., Suzuki, S. . y., Suzuki, Y., Tacik, R., Tada, M., Takahashi, S., Takeda, A., Takeuchi, Y., Tanaka, H. . k., Tanaka, H. . a., Tanaka, M. . m., Terhorst, D., Terri, R., Thompson, L. . f., Thorley, A., Tobayama, S., Toki, W., Tomura, T., Totsuka, Y., Touramanis, C., Tsukamoto, T., Tzanov, M., Uchida, Y., Vacheret, A., Vagins, M., Vasseur, G., Wachala, T., Wakamatsu, K., Walter, C. . w., Wark, D., Warzycha, W., Wascko, M. . o., Weber, A., Wendell, R., Wilkes, R. . j., Wilking, M. . j., Wilkinson, C., Williamson, Z., Wilson, J. . r., Wilson, R. . j., Wongjirad, T., Yamada, Y., Yamamoto, K., Yanagisawa, C., Yano, T., Yen, S., Yershov, N., Yokoyama, M., Yoo, J., Yoshida, K., Yuan, T., Yu, M., Zalewska, A., Zalipska, J., Zambelli, L., Zaremba, K., Ziembicki, M., Zimmerman, E. . d., Zito, M., and Żmuda, J.
Subjects: Particle physics, Nuclear and High Energy Physics, chemistry.chemical_element, Pion production, Astronomy & Astrophysics, MASS, Neutrino beam, PION-PRODUCTION, 7. Clean energy, 01 natural sciences, Physics, Particles & Fields, High Energy Physics - Experiment, Nuclear physics, Scattering, Cross section (physics), 0202 Atomic, Molecular, Nuclear, Particle And Plasma Physics, 0103 physical sciences, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Neutron, 010306 general physics, Neutrino oscillation, Nuclear Experiment, 0206 Quantum Physics, Charged current, Physics, Science & Technology, hep-ex, 010308 nuclear & particles physics, Detector, Nuclear & Particles Physics, MODEL, 0201 Astronomical And Space Sciences, chemistry, Physical Sciences, High Energy Physics::Experiment, Neutrino, Carbon, Nuclear targets
Abstract: 17 pages.- 21 figures, We report a measurement of the nu(mu) charged current quasielastic cross-sections on carbon in the T2K on-axis neutrino beam. The measured charged current quasielastic cross-sections on carbon at mean neutrino energies of 1.94 GeV and 0.93 GeV are (11.95 +/- 0.19(stat)(-1.47)(+1.82)(syst)) x 10(-39) cm(2)/neutron, and (10.64 +/- 0.37(stat)(-1.65)(+2.03)(syst)) x 10(-39) cm(2)/neutron, respectively. These results agree well with the predictions of neutrino interaction models. In addition, we investigated the effects of the nuclear model and the multi-nucleon interaction., It is a pleasure to thank Mr. Taino from Mechanical Support Co. for helping with the construction of INGRID. We thank the J-PARC staff for superb accelerator performance and the CERN NA61 collaboration for providing valuable particle production data. We acknowledge the support of MEXT, Japan; NSERC, NRC and CFI, Canada; CEA and CNRS/IN2P3, France; DFG, Germany; INFN, Italy; National Science Centre (NCN), Poland; RSF, RFBR, and MES, Russia; MINECO and ERDF funds, Spain; SNSF and SER, Switzerland; STFC, UK; and DOE, USA. We also thank CERN for the UA1/NOMAD magnet, DESY for the HERA-B magnet mover system, NII for SINET4, the WestGrid and SciNet consortia in Compute Canada, GridPP, UK. In addition, participation of individual researchers and institutions has been further supported by funds from ERC (FP7), EU; JSPS, Japan; Royal Society, UK; DOE Early Career program, USA.
Published: 2015

47. Epidemiologic Evaluation of Measurement Data in the Presence of Detection Limits

Author: Jay H. Lubin, Joanne S. Colt, Leslie Bernstein, James R. Cerhan, Richard K. Severson, David Camann, Scott Davis, and Patricia Hartge
Subjects: Epidemiology, Health, Toxicology and Mutagenesis, media_common.quotation_subject, environmental exposure, Inference, imputation, 010501 environmental sciences, 01 natural sciences, Sensitivity and Specificity, 03 medical and health sciences, 010104 statistics & probability, missing data, Bias, Floors and Floorcoverings, Statistics, Covariate, Humans, Tobit model, Imputation (statistics), 0101 mathematics, 030304 developmental biology, 0105 earth and related environmental sciences, Mathematics, media_common, 0303 health sciences, Variables, Research, non-Hodgkin lymphoma, Lymphoma, Non-Hodgkin, Public Health, Environmental and Occupational Health, Reproducibility of Results, Regression analysis, Dust, Environmental exposure, Variance (accounting), Articles, pesticides, Missing data, Regression, Confidence interval, Epidemiologic Studies, Case-Control Studies, Regression Analysis, Environmental Pollutants
Abstract: Quantitative measurements of environmental factors greatly improve the quality of epidemiologic studies but can pose challenges because of the presence of upper or lower detection limits or interfering compounds, which do not allow for precise measured values. We consider the regression of an environmental measurement (dependent variable) on several covariates (independent variables). Various strategies are commonly employed to impute values for interval-measured data, including assignment of one-half the detection limit to nondetected values or of “fill-in” values randomly selected from an appropriate distribution. On the basis of a limited simulation study, we found that the former approach can be biased unless the percentage of measurements below detection limits is small (5–10%). The fill-in approach generally produces unbiased parameter estimates but may produce biased variance estimates and thereby distort inference when 30% or more of the data are below detection limits. Truncated data methods (e.g., Tobit regression) and multiple imputation offer two unbiased approaches for analyzing measurement data with detection limits. If interest resides solely on regression parameters, then Tobit regression can be used. If individualized values for measurements below detection limits are needed for additional analysis, such as relative risk regression or graphical display, then multiple imputation produces unbiased estimates and nominal confidence intervals unless the proportion of missing data is extreme. We illustrate various approaches using measurements of pesticide residues in carpet dust in control subjects from a case–control study of non-Hodgkin lymphoma.
Published: 2004

48. Measurement of the inclusive $\nu_{\mu}$ charged current cross section on iron and hydrocarbon in the T2K on-axis neutrino beam

Author: P. de Perio, Yoshikazu Yamada, E. Larkin, D. Brailsford, M. J. Wilking, R. Poutissou, K. Mavrokoridis, F. d. M. Blaszczyk, Y. Kanazawa, J. D. Perkin, Hidekazu Kakuno, I. Kreslo, T. Sekiguchi, L. Ludovici, A. T. Suzuki, M. Ravonel, S. Martynenko, J. Lagoda, S. R. Dennis, A. Bravar, J. Steinmann, Y. Takeuchi, A. Cervera, V. Palladino, M. Kabirnezhad, T. Akiri, T. Hasegawa, G. Christodoulou, M. Sorel, J. F. Martin, D. Autiero, A. Redij, A. Thorley, A. Korzenev, K. Sakashita, S. M. Oser, C. Bojechko, R. J. Wilson, P. Jonsson, R. Ohta, D. Ruterbories, M. Ieva, Yasunari Suzuki, T. Nakadaira, C. K. Jung, Y. Seiya, W. R. Kropp, Minoru Otani, F. Sato, R. Castillo, Yuichi Oyama, R. P. Litchfield, M. Barbi, Hidetoshi Kubo, J. R. Wilson, C. Nielsen, S. Tobayama, K. Nakamura, A. K. Ichikawa, M. D. Haigh, Scott Davis, D. Hansen, I. Lamont, F. Bay, Masato Shiozawa, Antonin Vacheret, L. L. Kormos, S. Assylbekov, S. Moriyama, Masayuki Nakahata, D. R. Hadley, J. Zmuda, A. C. Weber, S. Roth, J. Kameda, S. Horikawa, T. Wachala, B. E. Berger, P. Sinclair, P. A. Rodrigues, M. Tzanov, Rhiju Das, B. Jamieson, C. J. Metelko, E. S. Pinzon Guerra, Hiroaki Aihara, Koji Yamamoto, P. N. Ratoff, T. Kutter, Th. A. Mueller, Y. Uchida, A. Hillairet, A. Longhin, J. Marteau, Z. Williamson, A. Haesler, K. S. McFarland, F. Sanchez, R. Tacik, O. Perevozchikov, Matthew T. Reeves, Takahiro Hiraki, C. Lister, N. Grant, S. Short, N. C. Hastings, P. Plonski, P. Mijakowski, M. Friend, Teppei Katori, V. Galymov, G. Collazuol, Mark Scott, T. Maruyama, A. Kilinski, S. Bhadra, Stefan Schoppmann, J. Caravaca Rodríguez, H.A. Tanaka, L. Zambelli, E. Radicioni, J. L. Palomino, Michal Dziewiecki, L. Southwell, J. Myslik, T. Duboyski, K. Gilje, S. Murphy, Masashi Tanaka, C. W. Walter, J. H. Jo, Artur F. Izmaylov, Seiko Hirota, A. P. Furmanski, T. Kikawa, M. Gonin, K. Zaremba, L. Escudero, H. M. O'Keeffe, Kazuhiro Suzuki, V. Paolone, T. Golan, D. Kielczewska, M. Batkiewicz, G.D. Barr, K. Abe, C. Pistillo, W. Oryszczak, André Rubbia, K. Huang, A. Jacob, Yuki Fujii, E. Mazzucato, B. A. Popov, A. Dabrowska, T. Dealtry, K. Ieki, D. Karlen, A. Missert, K. Iyogi, L. F. Thompson, E. D. Zimmerman, Jan Kisiel, M. Yu, D. L. Wark, J. M. Poutissou, C. Bronner, Atsushi Takeda, P. Kitching, M. O. Wascko, J. Adam, D. Cherdack, A. Clifton, Yusuke Koshio, B. Smith, E. Reinherz-Aronis, T. Okusawa, J. Holeczek, S. B. Boyd, K. Nakayoshi, N. Buchanan, F. Retiere, M. Murdoch, Jungsang Kim, S. Y. Suzuki, Takaaki Kajita, Y. Shustrov, K. Iwamoto, A. Zalewska, I. Karpikov, R. J. Wilkes, Hiroyuki Sekiya, T. Szeglowski, R. Sacco, S. Nakayama, D. Goeldi, E. Scantamburlo, Kate Scholberg, D. Dewhurst, T. Kobayashi, Yukika Nishimura, S. Di Luise, L. Cremonesi, A. V. Waldron, C. McGrew, A. N. Khotjantsev, S. Yen, L. Koch, T. Yano, R. L. Helmer, M. Ikeda, M. Bass, A. C. Kaboth, J. Dumarchez, J. Schwehr, R.P. Kurjata, S. J. Coleman, T. Tomura, M. Hartz, H. K. Tanaka, Y. Hayato, C. Wilkinson, P. Stamoulis, Joshua Hignight, Y. Fukuda, M. Posiadala, M. G. Catanesi, Kendall Mahn, C. Andreopoulos, T. Lindner, A. J. Finch, R. A. Johnson, E. Kearns, S. Berkman, C. Touramanis, Antonio Ereditato, D. Sgalaberna, O. V. Mineev, Masashi Yokoyama, E. Poplawska, C. Yanagisawa, Y. Totsuka, M. Zito, I. Z. Danko, A. Konaka, M. M. Khabibullin, R. A. Wendell, Susumu Takahashi, Vincenzo Berardi, N. Yershov, M. A.M. Rayner, T. Tsukamoto, T. Hara, M. B. Smy, A. D. Marino, Y. Petrov, E. Rondio, W. H. Toki, O. Drapier, T. Wongjirad, S. Emery-Schrenk, A. Blondel, S. A. Dytman, G. De Rosa, R. A. Owen, Gareth J. Barker, N. McCauley, M. Hierholzer, F. Di Lodovico, M. McCarthy, B. Still, M. Tada, Yusuke Suda, D. J. Payne, R. Terri, K. E. Duffy, G. Vasseur, Tsuyoshi Nakaya, J. Imber, T. Ishida, M. Miura, A. Himmel, A. Kolaceke, T. Yuan, R. G. Calland, T. Ishii, D. Gudin, M. Lazos, S. Manly, P. Hamilton, M. Nirkko, P. Przewlocki, S. Bordoni, S. L. Cartwright, L. Magaletti, C. Giganti, K. Connolly, E. Iwai, D. Terhorst, M. R. Vagins, A. Murakami, Yu. Kudenko, K. Nishikawa, Jan T. Sobczyk, K. Laihem, T. J. Irvine, K. Koseki, M. Lawe, H. W. Sobel, P. Rojas, C. A. Miller, A. Minamino, C. Hearty, M. Ziembicki, J. Zalipska, J. Insler, B. Quilain, Marco Laveder, J. P. Coleman, C. Densham, M. Malek, Akitaka Ariga, Ko Okumura, Shigeki Aoki, L. Pickard, S. Giffin, V. Matveev, Institut de Physique Nucléaire de Lyon (IPNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Leprince-Ringuet (LLR), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), T2K, K. a., Abe, J., Adam, H. a., Aihara, T., Akiri, C., Andreopoulo, S., Aoki, A., Ariga, S., Assylbekov, D., Autiero, M., Barbi, G., Barker, G., Barr, M., Ba, M., Batkiewicz, F., Bay, V., Berardi, B. w., Berger, S., Berkman, S., Bhadra, F., Blaszczyk, A., Blondel, C., Bojechko, S., Bordoni, S., Boyd, D., Brailsford, A., Bravar, C., Bronner, N., Buchanan, R., Calland, J. C., Rodr??????guez, S., Cartwright, R., Castillo, M., Catanesi, A., Cervera, D., Cherdack, G., Christodoulou, A., Clifton, J., Coleman, S., Coleman, G., Collazuol, K., Connolly, L., Cremonesi, A., Dabrowska, I., Danko, R., Da, S., Davi, P. D., Perio, DE ROSA, Gianfranca, T. a., Dealtry, S. b., Denni, C., Densham, D., Dewhurst, F. D., Lodovico, S. D., Luise, O., Drapier, T., Duboyski, K., Duffy, J., Dumarchez, S., Dytman, M., Dziewiecki, S., Emery Schrenk, A., Ereditato, L., Escudero, A., Finch, M., Friend, Y., Fujii, Y., Fukuda, A., Furmanski, V., Galymov, S., Giffin, C., Giganti, K., Gilje, D., Goeldi, T., Golan, M., Gonin, N., Grant, D., Gudin, D., Hadley, A., Haesler, M., Haigh, P., Hamilton, D., Hansen, T., Hara, M. a., Hartz, T., Hasegawa, N., Hasting, Y. a., Hayato, C., Hearty, R., Helmer, M., Hierholzer, J., Hignight, A., Hillairet, A., Himmel, T., Hiraki, S., Hirota, J., Holeczek, S., Horikawa, K., Huang, A., Ichikawa, K., Ieki, M., Ieva, M., Ikeda, J., Imber, J., Insler, T., Irvine, T., Ishida, T., Ishii, E., Iwai, K., Iwamoto, K., Iyogi, A. v., Izmaylov, A., Jacob, B., Jamieson, R., Johnson, J., Jo, P., Jonsson, C., Jung, M., Kabirnezhad, A., Kaboth, T., Kajita, H., Kakuno, J., Kameda, Y., Kanazawa, D. a., Karlen, I., Karpikov, T., Katori, E. w., Kearn, M., Khabibullin, A., Khotjantsev, D., Kielczewska, T., Kikawa, A., Kilinski, J., Kim, J., Kisiel, P., Kitching, T., Kobayashi, L., Koch, A., Kolaceke, A., Konaka, L., Kormo, A., Korzenev, K., Koseki, Y., Koshio, I., Kreslo, W., Kropp, H., Kubo, Y., Kudenko, R., Kurjata, T., Kutter, J., Lagoda, K., Laihem, I., Lamont, E., Larkin, M., Laveder, M., Lawe, M., Lazo, T., Lindner, C., Lister, R., Litchfield, A., Longhin, L., Ludovici, L., Magaletti, K., Mahn, M., Malek, S., Manly, A., Marino, J., Marteau, J., Martin, S., Martynenko, T., Maruyama, V., Matveev, K., Mavrokoridi, E., Mazzucato, M., Mccarthy, N., Mccauley, K., Mcfarland, C., Mcgrew, C., Metelko, P., Mijakowski, C., Miller, A., Minamino, O., Mineev, A., Missert, M., Miura, S., Moriyama, T., Mueller, A., Murakami, M., Murdoch, S., Murphy, J., Myslik, T., Nakadaira, M. a., Nakahata, K. w., Nakamura, S., Nakayama, T. y., Nakaya, K., Nakayoshi, C., Nielsen, M., Nirkko, K., Nishikawa, Y., Nishimura, H., O'Keeffe, R., Ohta, K. a., Okumura, T., Okusawa, W., Oryszczak, S., Oser, M., Otani, R., Owen, Y., Oyama, Palladino, Vittorio, J., Palomino, V., Paolone, D., Payne, O., Perevozchikov, J., Perkin, Y., Petrov, L., Pickard, E. P., Guerra, C., Pistillo, P., Plonski, E., Poplawska, B., Popov, M., Posiadala, J., Poutissou, R., Poutissou, P., Przewlocki, B., Quilain, E., Radicioni, P., Ratoff, M., Ravonel, M., Rayner, A., Redij, M., Reeve, E., Reinherz Aroni, F., Retiere, P., Rodrigue, P., Roja, E., Rondio, S., Roth, A., Rubbia, D., Ruterborie, R., Sacco, K., Sakashita, F., S??????nchez, F., Sato, E., Scantamburlo, K., Scholberg, S., Schoppmann, J., Schwehr, M., Scott, Y., Seiya, T., Sekiguchi, H., Sekiya, D., Sgalaberna, M. a., Shiozawa, S., Short, Y., Shustrov, P., Sinclair, B., Smith, M., Smy, J., Sobczyk, H. w., Sobel, M., Sorel, L., Southwell, P., Stamouli, J., Steinmann, B., Still, Y., Suda, A., Suzuki, K., Suzuki, S., Suzuki, Y., Suzuki, T., Szeglowski, R. a., Tacik, M., Tada, S., Takahashi, A., Takeda, Y. x., Takeuchi, H., Tanaka, M., Tanaka, D., Terhorst, R., Terri, L., Thompson, A., Thorley, S., Tobayama, W., Toki, T., Tomura, Y., Totsuka, C., Touramani, T., Tsukamoto, M., Tzanov, Y., Uchida, A., Vacheret, M. w., Vagin, G., Vasseur, T., Wachala, A., Waldron, C., Walter, D. a., Wark, M., Wascko, A. a., Weber, R., Wendell, R., Wilke, M., Wilking, C., Wilkinson, Z., Williamson, J., Wilson, R., Wilson, T., Wongjirad, Y., Yamada, K., Yamamoto, C., Yanagisawa, T., Yano, S., Yen, N., Yershov, M., Yokoyama, T., Yuan, M., Yu, A., Zalewska, J., Zalipska, L., Zambelli, K., Zaremba, M., Ziembicki, E., Zimmerman, M., Zito, J., Zmuda, Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Pierre et Marie Curie - Paris 6 (UPMC), and Science and Technology Facilities Council (STFC)
Subjects: Particle physics, Nuclear and High Energy Physics, Astrophysics::High Energy Astrophysical Phenomena, Flux, FOS: Physical sciences, Astronomy & Astrophysics, 7. Clean energy, 01 natural sciences, Physics, Particles & Fields, High Energy Physics - Experiment, Nuclear physics, Cross section (physics), Physics and Astronomy (all), High Energy Physics - Experiment (hep-ex), 0103 physical sciences, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], 010306 general physics, Neutrino oscillation, Nuclear Experiment, DETECTOR, Charged current, Mathematical Physics, chemistry.chemical_classification, Physics, Science & Technology, hep-ex, 010308 nuclear & particles physics, T2K experiment, Física, Hydrocarbon, chemistry, Physical Sciences, High Energy Physics::Experiment, Neutrino, Nucleon
Abstract: We report a measurement of the $\nu_\mu$ inclusive charged current cross sections on iron and hydrocarbon in the T2K on-axis neutrino beam. The measured inclusive charged current cross sections on iron and hydrocarbon averaged over the T2K on-axis flux with a mean neutrino energy of 1.51 GeV are $(1.444\pm0.002(stat.)_{-0.157}^{+0.189}(syst.))\times 10^{-38}\mathrm{cm}^2/\mathrm{nucleon}$, and $(1.379\pm0.009(stat.)_{-0.147}^{+0.178}(syst.))\times 10^{-38}\mathrm{cm}^2/\mathrm{nucleon}$, respectively, and their cross section ratio is $1.047\pm0.007(stat.)\pm0.035(syst.)$. These results agree well with the predictions of the neutrino interaction model, and thus we checked the correct treatment of the nuclear effect for iron and hydrocarbon targets in the model within the measurement precisions., Comment: 15 pages, 17 figures
Published: 2014

49. A Habitable Fluvio-Lacustrine Environment at Yellowknife Bay, Gale Crater, Mars

Author: J. P. Grotzinger, D. Y. Sumner, L. C. Kah, K. Stack, S. Gupta, L. Edgar, D. Rubin, K. Lewis, J. Schieber, N. Mangold, R. Milliken, P. G. Conrad, D. DesMarais, J. Farmer, K. Siebach, F. Calef, J. Hurowitz, S. M. McLennan, D. Ming, D. Vaniman, J. Crisp, A. Vasavada, K. S. Edgett, M. Malin, D. Blake, R. Gellert, P. Mahaffy, R. C. Wiens, S. Maurice, J. A. Grant, S. Wilson, R. C. Anderson, L. Beegle, R. Arvidson, B. Hallet, R. S. Sletten, M. Rice, J. Bell, J. Griffes, B. Ehlmann, R. B. Anderson, T. F. Bristow, W. E. Dietrich, G. Dromart, J. Eigenbrode, A. Fraeman, C. Hardgrove, K. Herkenhoff, L. Jandura, G. Kocurek, S. Lee, L. A. Leshin, R. Leveille, D. Limonadi, J. Maki, S. McCloskey, M. Meyer, M. Minitti, H. Newsom, D. Oehler, A. Okon, M. Palucis, T. Parker, S. Rowland, M. Schmidt, S. Squyres, A. Steele, E. Stolper, R. Summons, A. Treiman, R. Williams, A. Yingst, MSL Science Team, Osku Kemppinen, Nathan Bridges, Jeffrey R. Johnson, David Cremers, Austin Godber, Meenakshi Wadhwa, Danika Wellington, Ian McEwan, Claire Newman, Mark Richardson, Antoine Charpentier, Laurent Peret, Penelope King, Jennifer Blank, Gerald Weigle, Shuai Li, Kevin Robertson, Vivian Sun, Michael Baker, Christopher Edwards, Kenneth Farley, Hayden Miller, Megan Newcombe, Cedric Pilorget, Claude Brunet, Victoria Hipkin, Richard Léveillé, Geneviève Marchand, Pablo Sobrón Sánchez, Laurent Favot, George Cody, Lorenzo Flückiger, David Lees, Ara Nefian, Mildred Martin, Marc Gailhanou, Frances Westall, Guy Israël, Christophe Agard, Julien Baroukh, Christophe Donny, Alain Gaboriaud, Philippe Guillemot, Vivian Lafaille, Eric Lorigny, Alexis Paillet, René Pérez, Muriel Saccoccio, Charles Yana, Carlos Armiens-Aparicio, Javier Caride Rodríguez, Isaías Carrasco Blázquez, Felipe Gómez Gómez, Javier Gómez-Elvira, Sebastian Hettrich, Alain Lepinette Malvitte, Mercedes Marín Jiménez, Jesús Martínez-Frías, Javier Martín-Soler, F. Javier Martín-Torres, Antonio Molina Jurado, Luis Mora-Sotomayor, Guillermo Muñoz Caro, Sara Navarro López, Verónica Peinado-González, Jorge Pla-García, José Antonio Rodriguez Manfredi, Julio José Romeral-Planelló, Sara Alejandra Sans Fuentes, Eduardo Sebastian Martinez, Josefina Torres Redondo, Roser Urqui-O’Callaghan, María-Paz Zorzano Mier, Steve Chipera, Jean-Luc Lacour, Patrick Mauchien, Jean-Baptiste Sirven, Heidi Manning, Alberto Fairén, Alexander Hayes, Jonathan Joseph, Robert Sullivan, Peter Thomas, Audrey Dupont, Angela Lundberg, Noureddine Melikechi, Alissa Mezzacappa, Julia DeMarines, David Grinspoon, Günther Reitz, Benito Prats, Evgeny Atlaskin, Maria Genzer, Ari-Matti Harri, Harri Haukka, Henrik Kahanpää, Janne Kauhanen, Mark Paton, Jouni Polkko, Walter Schmidt, Tero Siili, Cécile Fabre, James Wray, Mary Beth Wilhelm, Franck Poitrasson, Kiran Patel, Stephen Gorevan, Stephen Indyk, Gale Paulsen, David Bish, Brigitte Gondet, Yves Langevin, Claude Geffroy, David Baratoux, Gilles Berger, Alain Cros, Claude d’Uston, Olivier Forni, Olivier Gasnault, Jérémie Lasue, Qiu-Mei Lee, Pierre-Yves Meslin, Etienne Pallier, Yann Parot, Patrick Pinet, Susanne Schröder, Mike Toplis, Éric Lewin, Will Brunner, Ezat Heydari, Cherie Achilles, Brad Sutter, Michel Cabane, David Coscia, Cyril Szopa, François Robert, Violaine Sautter, Stéphane Le Mouélic, Marion Nachon, Arnaud Buch, Fabien Stalport, Patrice Coll, Pascaline François, François Raulin, Samuel Teinturier, James Cameron, Sam Clegg, Agnès Cousin, Dorothea DeLapp, Robert Dingler, Ryan Steele Jackson, Stephen Johnstone, Nina Lanza, Cynthia Little, Tony Nelson, Richard B. Williams, Andrea Jones, Laurel Kirkland, Burt Baker, Bruce Cantor, Michael Caplinger, Scott Davis, Brian Duston, Donald Fay, David Harker, Paul Herrera, Elsa Jensen, Megan R. Kennedy, Gillian Krezoski, Daniel Krysak, Leslie Lipkaman, Elaina McCartney, Sean McNair, Brian Nixon, Liliya Posiolova, Michael Ravine, Andrew Salamon, Lee Saper, Kevin Stoiber, Kimberley Supulver, Jason Van Beek, Tessa Van Beek, Robert Zimdar, Katherine Louise French, Karl Iagnemma, Kristen Miller, Fred Goesmann, Walter Goetz, Stubbe Hviid, Micah Johnson, Matthew Lefavor, Eric Lyness, Elly Breves, M. Darby Dyar, Caleb Fassett, Laurence Edwards, Robert Haberle, Tori Hoehler, Jeff Hollingsworth, Melinda Kahre, Leslie Keely, Christopher McKay, Lora Bleacher, William Brinckerhoff, David Choi, Jason P. Dworkin, Melissa Floyd, Caroline Freissinet, James Garvin, Daniel Glavin, Daniel Harpold, David K. Martin, Amy McAdam, Alexander Pavlov, Eric Raaen, Michael D. Smith, Jennifer Stern, Florence Tan, Melissa Trainer, Arik Posner, Mary Voytek, Andrew Aubrey, Alberto Behar, Diana Blaney, David Brinza, Lance Christensen, Lauren DeFlores, Jason Feldman, Sabrina Feldman, Gregory Flesch, Insoo Jun, Didier Keymeulen, Michael Mischna, John Michael Morookian, Betina Pavri, Marcel Schoppers, Aaron Sengstacken, John J. Simmonds, Nicole Spanovich, Manuel de la Torre Juarez, Christopher R. Webster, Albert Yen, Paul Douglas Archer, Francis Cucinotta, John H. Jones, Richard V. Morris, Paul Niles, Elizabeth Rampe, Thomas Nolan, Martin Fisk, Leon Radziemski, Bruce Barraclough, Steve Bender, Daniel Berman, Eldar Noe Dobrea, Robert Tokar, Timothy Cleghorn, Wesley Huntress, Gérard Manhès, Judy Hudgins, Timothy Olson, Noel Stewart, Philippe Sarrazin, Edward Vicenzi, Mark Bullock, Bent Ehresmann, Victoria Hamilton, Donald Hassler, Joseph Peterson, Scot Rafkin, Cary Zeitlin, Fedor Fedosov, Dmitry Golovin, Natalya Karpushkina, Alexander Kozyrev, Maxim Litvak, Alexey Malakhov, Igor Mitrofanov, Maxim Mokrousov, Sergey Nikiforov, Vasily Prokhorov, Anton Sanin, Vladislav Tretyakov, Alexey Varenikov, Andrey Vostrukhin, Ruslan Kuzmin, Benton Clark, Michael Wolff, Oliver Botta, Darrell Drake, Keri Bean, Mark Lemmon, Susanne P. Schwenzer, Ella Mae Lee, Robert Sucharski, Miguel Ángel de Pablo Hernández, Juan José Blanco Ávalos, Miguel Ramos, Myung-Hee Kim, Charles Malespin, Ianik Plante, Jan-Peter Muller, Rafael Navarro-González, Ryan Ewing, William Boynton, Robert Downs, Mike Fitzgibbon, Karl Harshman, Shaunna Morrison, Onno Kortmann, Amy Williams, Günter Lugmair, Michael A. Wilson, Bruce Jakosky, Tonci Balic-Zunic, Jens Frydenvang, Jaqueline Kløvgaard Jensen, Kjartan Kinch, Asmus Koefoed, Morten Bo Madsen, Susan Louise Svane Stipp, Nick Boyd, John L. Campbell, Glynis Perrett, Irina Pradler, Scott VanBommel, Samantha Jacob, Tobias Owen, Hannu Savijärvi, Eckart Boehm, Stephan Böttcher, Sönke Burmeister, Jingnan Guo, Jan Köhler, César Martín García, Reinhold Mueller-Mellin, Robert Wimmer-Schweingruber, John C. Bridges, Timothy McConnochie, Mehdi Benna, Heather Franz, Hannah Bower, Anna Brunner, Hannah Blau, Thomas Boucher, Marco Carmosino, Sushil Atreya, Harvey Elliott, Douglas Halleaux, Nilton Rennó, Michael Wong, Robert Pepin, Beverley Elliott, John Spray, Lucy Thompson, Suzanne Gordon, Ann Ollila, Joshua Williams, Paulo Vasconcelos, Jennifer Bentz, Kenneth Nealson, Radu Popa, Jeffrey Moersch, Christopher Tate, Mackenzie Day, Raymond Francis, Emily McCullough, Ed Cloutis, Inge Loes ten Kate, Daniel Scholes, Susan Slavney, Thomas Stein, Jennifer Ward, Jeffrey Berger, John E. Moores, Division of Geological and Planetary Sciences [Pasadena], California Institute of Technology (CALTECH), Department of Earth and Planetary Science [UC Berkeley] (EPS), University of California [Berkeley], University of California-University of California, The University of Tennessee [Knoxville], Department of Earth Science and Technology [Imperial College London], Imperial College London, ASU School of Earth and Space Exploration (SESE), Arizona State University [Tempe] (ASU), US Geological Survey [Santa Cruz], United States Geological Survey [Reston] (USGS), Princeton University, Department of Geological Sciences [Bloomington], Indiana University [Bloomington], Indiana University System-Indiana University System, Laboratoire de Planétologie et Géodynamique [UMR 6112] (LPG), Université d'Angers (UA)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Department of Geological Sciences [Providence], Brown University, NASA Goddard Space Flight Center (GSFC), NASA Ames Research Center (ARC), Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Department of Geosciences [Stony Brook], Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY), State University of New York (SUNY), NASA Johnson Space Center (JSC), NASA, Planetary Science Institute [Tucson] (PSI), Department of Physics [Guelph], University of Guelph, Space Remote Sensing Group (ISR-2), Los Alamos National Laboratory (LANL), Institut de recherche en astrophysique et planétologie (IRAP), Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Center for Earth and Planetary Studies [Washington] (CEPS), Smithsonian National Air and Space Museum, Smithsonian Institution-Smithsonian Institution, Department of Earth and Space Sciences [Seattle], University of Washington [Seattle], Laboratoire de Géologie de Lyon - Terre, Planètes, Environnement [Lyon] (LGL-TPE), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École normale supérieure - Lyon (ENS Lyon), Department of Geological Sciences [Austin], Jackson School of Geosciences (JSG), University of Texas at Austin [Austin]-University of Texas at Austin [Austin], Rensselaer Polytechnic Institute (RPI), Canadian Space Agency (CSA), NASA Headquarters, Institute of Meteoritics [Albuquerque] (IOM), The University of New Mexico [Albuquerque], University of Hawaii, Brock University [Canada], Cornell University [New York], Geophysical Laboratory [Carnegie Institution], Carnegie Institution for Science [Washington], Massachusetts Institute of Technology (MIT), Lunar and Planetary Institute [Houston] (LPI), GeoRessources, Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre de recherches sur la géologie des matières premières minérales et énergétiques (CREGU)-Institut national des sciences de l'Univers (INSU - CNRS), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Laboratoire de Géologie de Lyon - Terre, Planètes, Environnement (LGL-TPE), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut national des sciences de l'Univers (INSU - CNRS)-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS), Carnegie Institution for Science, Institut national des sciences de l'Univers (INSU - CNRS)-Centre de recherches sur la géologie des matières premières minérales et énergétiques (CREGU)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), NWO-NSO: The role of perchlorates in the preservation of organic compounds on Mars, and Petrology
Subjects: Geologic Sediments, Salinity, Extraterrestrial Environment, Nitrogen, General Science & Technology, Iron, Curiosity rover, Mars, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, Astrobiology, MSL Science Team, Exobiology, MSL, Martian, Multidisciplinary, fluvial-lacustrine environments, Biosphere, Water, Phosphorus, Mars Exploration Program, 15. Life on land, Hydrogen-Ion Concentration, Carbon, Oxygen, Planetary science, Bays, 13. Climate action, Rocknest, Sample Analysis at Mars, Sedimentary rock, Oxidation-Reduction, Geology, Sulfur, Hydrogen
Abstract: International audience; The Curiosity rover discovered fine-grained sedimentary rocks, which are inferred to represent an ancient lake and preserve evidence of an environment that would have been suited to support a martian biosphere founded on chemolithoautotrophy. This aqueous environment was characterized by neutral pH, low salinity, and variable redox states of both iron and sulfur species. Carbon, hydrogen, oxygen, sulfur, nitrogen, and phosphorus were measured directly as key biogenic elements; by inference, phosphorus is assumed to have been available. The environment probably had a minimum duration of hundreds to tens of thousands of years. These results highlight the biological viability of fluvial-lacustrine environments in the post-Noachian history of Mars.
Published: 2014

50. Volatile and Organic Compositions of Sedimentary Rocks in Yellowknife Bay, Gale Crater, Mars

Author: M. A. Meyer, Mark I. Richardson, Robert C. Anderson, Marisa C. Palucis, Sara Navarro Lopez, Rodney C. Ewing, Sanjeev Gupta, Caroline Freissinet, Edward M. Stolper, James F. Bell, M. A. Ravine, I. G. Mitrofanov, Thomas F. Bristow, Dawn Y. Sumner, Joel A. Hurowitz, Robert M. Haberle, Claire E. Newman, Andrew Steele, Muriel Saccoccio, Leslie Keely, E. Pallier, Jason P. Dworkin, Claude Geffroy, Mary A. Voytek, Michael Caplinger, Fred Goesmann, Yann Parot, Maria-Paz Zorzano Mier, A. B. Sanin, S. W. Squyres, Javier Caride Rodriguez, J. L. Griffes, Julio José Romeral-Planello, Jason Feldman, Katherine L. French, V. Sautter, Nicolas Mangold, David L. Bish, Vivian Lafaille, Michael D. Smith, François Raulin, V. Prokhorov, Gilles Berger, S. Slavney, Heather B. Franz, S. Johnstone, Susanne P. Schwenzer, Felipe Gómez, Harri Haukka, Francis A. Cucinotta, J. Hudgins, T. Cleghorn, Pascaline Francois, Alain Lepinette Malvitte, Shuai Li, Paul R. Mahaffy, K. M. Robertson, Bruce M. Jakosky, J. Guo, Juergen Schieber, Rafael Navarro-González, G. J. Flesch, Scott M. McLennan, Jennifer G. Blank, M. Carmosino, Kenneth A. Farley, Yves Langevin, P. D. Archer, A. E. Brunner, M. D. Dyar, S. Le Mouélic, V. Hipkin, Sara Alejandra Sans Fuentes, Kenneth S. Edgett, Sabrina Feldman, Gale Paulsen, Paul Herrera, Alberto G. Fairén, Kirsten L. Siebach, Jan-Peter Muller, M. J. Schoppers, Eldar Noe Dobrea, Nina Lanza, Marc Gailhanou, Genevieve Marchand, Sönke Burmeister, Craig Hardgrove, Justin N. Maki, Ari-Matti Harri, Michael C. Malin, M. J. Wolff, Roger E. Summons, H. Blau, Jacqueline Cameron, Jeff A. Berger, Didier Keymeulen, Agnes Cousin, Guillermo M. Muñoz Caro, Eric Lyness, Cedric Pilorget, Michael B. Baker, Christopher S. Edwards, M. L. Litvak, Brian M. Duston, Rebecca M. E. Williams, T. Nolan, Robert T. Downs, V. E. Hamilton, Walter Goetz, Pamela G. Conrad, J. Baroukh, Nathan T. Bridges, Meenakshi Wadhwa, Roger C. Wiens, Samuel M. Clegg, Philippe Sarrazin, L. Bleacher, Eric Lorigny, Mike Toplis, Michael H. Wong, Timothy H. McConnochie, Ian Mcewan, Kiran Patel, Mary Beth Wilhelm, John P. Grotzinger, Jeffrey E. Moersch, Michael A. Wilson, Mark Paton, I. Plante, Eric Lewin, Franck Poitrasson, Tori M. Hoehler, P. Guillemot, Mackenzie Day, David F. Blake, José Antonio Rodríguez Manfredi, G. W. Lugmair, Robert F. Wimmer-Schweingruber, Dorothy Z. Oehler, Samuel Teinturier, Bent Ehresmann, Jérémie Lasue, K. E. Herkenhoff, Daniel C. Berman, Scott VanBommel, Jeffrey R. Johnson, Emily M. McCullough, A. A. Fraeman, Ezat Heydari, Penelope L. King, K. M. Stack, Diana L. Blaney, A. Salamon, John G. Spray, L. Posiolova, Jeff Hollingsworth, David Choi, Kevin W. Lewis, B. D. Prats, Tonci Balic-Zunic, Mehdi Benna, H. M. Elliott, Jesús Martínez-Frías, R. Mueller-Mellin, William V. Boynton, Lance E. Christensen, Richard Leveille, John A. Grant, David E. Harker, J. M. Morookian, Caleb I. Fassett, S. Jacob, Donald Fay, R. Perez, Horton E. Newsom, Morten Madsen, M. G. Trainer, G. Israel, B. E. Nixon, Claude d’Uston, John E. Moores, Olivier Gasnault, Daniel J. Krysak, Vladislav Tretyakov, G. M. Perrett, Andrew D. Aubrey, L. E. Kirkland, F. Stalport, B. L. Barraclough, Alain Cros, Stephan Böttcher, Michel Cabane, William B. Brinckerhoff, Jack D. Farmer, James J. Wray, P. Y. Meslin, Arnaud Buch, Allan H. Treiman, S. C. R. Rafkin, B. C. Clark, Noureddine Melikechi, R. Jackson, Luther W. Beegle, Angela Lundberg, Bethany L. Ehlmann, William E. Dietrich, Karl Iagnemma, K. Supulver, Radu Popa, R. Zimdar, Melissa Floyd, Wesley T. Huntress, Paul B. Niles, D. M. Delapp, C. N.. Achilles, Darrell Drake, T. Nelson, Alain Gaboriaud, Verónica Peinado-Gonzalez, Edward P. Vicenzi, T. Boucher, Jennifer L. Eigenbrode, C. Tate, David J. Des Marais, F. Javier Martin-Torres, Antoine Charpentier, Chris Webster, Mildred P. Martin, Robert M. Sucharski, Lucy M. Thompson, Cyril Szopa, D. Halleaux, Antonio Molina Jurado, Richard V. Morris, Andrey Vostrukhin, Peter C. Thomas, Ara V. Nefian, Pablo Sobron Sanchez, Manuel de la Torre Juárez, B. Elliott, Hannu Savijärvi, J. Bentz, Sergey Nikiforov, S. Gordon, Shaunna M. Morrison, Jean-Luc Lacour, Günter Reitz, M. E. Newcombe, David E. Brinza, C. Yana, Gary Kocurek, L. J. Lipkaman, C. M. Garcia, Maria Genzer, Fred Calef, A. Godber, Stubbe F. Hviid, C. Donny, T. Van Beek, Ruslan O. Kuzmin, Alexander Hayes, T. S. Olson, George D. Cody, J. Martín-Soler, N. Karpushkina, John Bridges, Mercedes Jiménez, M. Lefavor, Sylvestre Maurice, H. L. K. Manning, Ralph E. Milliken, Susanne Schröder, N. Spanovich, L. J. Edwards, A. Koefoed, Roser Urqui-O'Callaghan, Eduardo Sebastian Martinez, Cary Zeitlin, Noël Stewart, David T. Vaniman, E. A. Breves, Laurent Favot, A. Varenikov, Gérard Manhès, R. B. Williams, David Martin, Steven J. Rowland, E. Boehm, Adrian P. Jones, Alexis Paillet, R. Francis, Sushil K. Atreya, Mariek E. Schmidt, David Baratoux, N. I. Boyd, Qiu-Mei Lee, I. 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Lyon (ENS Lyon), Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN), and Kruch, Catherine
Subjects: Geologic Sediments, 010504 meteorology & atmospheric sciences, Extraterrestrial Environment, Curiosity rover, [SDU.ASTR.EP]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP], Mineralogy, [SDU.ASTR.EP] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP], Mars, Sulfides, 01 natural sciences, organic compositions, Bassanite, 0103 physical sciences, Exobiology, [SDU.ASTR.SR] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR], Hydrocarbons, Chlorinated, MSL, 010303 astronomy & astrophysics, 0105 earth and related environmental sciences, Total organic carbon, Martian, mudstone samples, Volatile Organic Compounds, Multidisciplinary, [SDU.ASTR.SR]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR], Water, Mars Exploration Program, Carbon Dioxide, Oxygen, Bays, 13. Climate action, Rocknest, Sample Analysis at Mars, Sedimentary rock, Pyrolysis
Abstract: H 2 O, CO 2 , SO 2 , O 2 , H 2 , H 2 S, HCl, chlorinated hydrocarbons, NO, and other trace gases were evolved during pyrolysis of two mudstone samples acquired by the Curiosity rover at Yellowknife Bay within Gale crater, Mars. H 2 O/OH-bearing phases included 2:1 phyllosilicate(s), bassanite, akaganeite, and amorphous materials. Thermal decomposition of carbonates and combustion of organic materials are candidate sources for the CO 2 . Concurrent evolution of O 2 and chlorinated hydrocarbons suggests the presence of oxychlorine phase(s). Sulfides are likely sources for sulfur-bearing species. Higher abundances of chlorinated hydrocarbons in the mudstone compared with Rocknest windblown materials previously analyzed by Curiosity suggest that indigenous martian or meteoritic organic carbon sources may be preserved in the mudstone; however, the carbon source for the chlorinated hydrocarbons is not definitively of martian origin.
Published: 2014

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