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2. Automated Built-Up Infrastructure Land Cover Extraction Using Index Ensembles with Machine Learning, Automated Training Data, and Red Band Texture Layers

Author

Megan C. Maloney, Sarah J. Becker, Andrew W. H. Griffin, Susan L. Lyon, and Kristofer Lasko

Subjects
built-up infrastructure classification, multispectral classification, texture metric, spectral index thresholds, Science
Abstract

Automated built-up infrastructure classification is a global need for planning. However, individual indices have weaknesses, including spectral confusion with bare ground, and computational requirements for deep learning are intensive. We present a computationally lightweight method to classify built-up infrastructure. We use an ensemble of spectral indices and a novel red-band texture layer with global thresholds determined from 12 diverse sites (two seasonally varied images per site). Multiple spectral indexes were evaluated using Sentinel-2 imagery. Our texture metric uses the red band to separate built-up infrastructure from spectrally similar bare ground. Our evaluation produced global thresholds by evaluating ground truth points against a range of site-specific optimal index thresholds across the 24 images. These were used to classify an ensemble, and then spectral indexes, texture, and stratified random sampling guided training data selection. The training data fit a random forest classifier to create final binary maps. Validation found an average overall accuracy of 79.95% (±4%) and an F1 score of 0.5304 (±0.07). The inclusion of the texture metric improved overall accuracy by 14–21%. A comparison to site-specific thresholds and a deep learning-derived layer is provided. This automated built-up infrastructure mapping framework requires only public imagery to support time-sensitive land management workflows.

Published
2024
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4. Proteomic profiling of concurrently isolated primary microvascular endothelial cells, pericytes, and vascular smooth muscle cells from adult mouse heart

Author

Zhiping Cao, Jessica Minnier, Lijuan Liu, Kristin L. Lyon Scott, Ashok P. Reddy, Phillip A. Wilmarth, Larry L. David, Anthony P. Barnes, Marjorie R. Grafe, Sanjiv Kaul, Nabil J. Alkayed, and Catherine M. Davis

Subjects
Medicine, Science
Abstract

Abstract The microcirculation serves crucial functions in adult heart, distinct from those carried out by epicardial vessels. Microvessels are governed by unique regulatory mechanisms, impairment of which leads to microvessel-specific pathology. There are few treatment options for patients with microvascular heart disease, primarily due to limited understanding of underlying pathology. High throughput mRNA sequencing and protein expression profiling in specific cells can improve our understanding of microvessel biology and disease at the molecular level. Understanding responses of individual microvascular cells to the same physiological or pathophysiological stimuli requires the ability to isolate the specific cell types that comprise the functional units of the microcirculation in the heart, preferably from the same heart, to ensure that different cells have been exposed to the same in-vivo conditions. We developed an integrated process for simultaneous isolation and culture of the main cell types comprising the microcirculation in adult mouse heart: endothelial cells, pericytes, and vascular smooth muscle cells. These cell types were characterized with isobaric labeling quantitative proteomics and mRNA sequencing. We defined microvascular cell proteomes, identified novel protein markers, and confirmed established cell-specific markers. Our results allow identification of unique markers and regulatory proteins that govern microvascular physiology and pathology.

Published
2022
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7. A thiol-reactive Ru(II) ion, not CO release, underlies the potent antimicrobial and cytotoxic properties of CO-releasing molecule-3

Author

Hannah M. Southam, Thomas W. Smith, Rhiannon L. Lyon, Chunyan Liao, Clare R. Trevitt, Laurence A. Middlemiss, Francesca L. Cox, Jonathan A. Chapman, Sherif F. El-Khamisy, Michael Hippler, Michael P. Williamson, Peter J.F. Henderson, and Robert K. Poole

Subjects
Medicine (General), R5-920, Biology (General), QH301-705.5
Abstract

Carbon monoxide (CO)-releasing molecules (CORMs), mostly metal carbonyl compounds, are extensively used as experimental tools to deliver CO, a biological ‘gasotransmitter’, in mammalian systems. CORMs are also explored as potential novel antimicrobial drugs, effectively and rapidly killing bacteria in vitro and in animal models, but are reportedly benign towards mammalian cells. Ru-carbonyl CORMs, exemplified by CORM-3 (Ru(CO)3Cl(glycinate)), exhibit the most potent antimicrobial effects against Escherichia coli. We demonstrate that CORM-3 releases little CO in buffers and cell culture media and that the active antimicrobial agent is Ru(II), which binds tightly to thiols. Thus, thiols and amino acids in complex growth media – such as histidine, methionine and oxidised glutathione, but most pertinently cysteine and reduced glutathione (GSH) – protect both bacterial and mammalian cells against CORM-3 by binding and sequestering Ru(II). No other amino acids exert significant protective effects. NMR reveals that CORM-3 binds cysteine and GSH in a 1:1 stoichiometry with dissociation constants, Kd, of about 5 μM, while histidine, GSSG and methionine are bound less tightly, with Kd values ranging between 800 and 9000 μM. There is a direct positive correlation between protection and amino acid affinity for CORM-3. Intracellular targets of CORM-3 in both bacterial and mammalian cells are therefore expected to include GSH, free Cys, His and Met residues and any molecules that contain these surface-exposed amino acids. These results necessitate a major reappraisal of the biological effects of CORM-3 and related CORMs. Keywords: Novel antimicrobials, CO-releasing molecules, Gasotransmitters, CORM-3, Metallo-drugs

Published
2018
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8. Automated Training Data Generation from Spectral Indexes for Mapping Surface Water Extent with Sentinel-2 Satellite Imagery at 10 m and 20 m Resolutions

Author

Kristofer Lasko, Megan C. Maloney, Sarah J. Becker, Andrew W. H. Griffin, Susan L. Lyon, and Sean P. Griffin

Subjects
surface water, water index, band ratios, machine learning, random forest, multispectral, Science
Abstract

This study presents an automated methodology to generate training data for surface water mapping from a single Sentinel-2 granule at 10 m (4 band, VIS/NIR) or 20 m (9 band, VIS/NIR/SWIR) resolution without the need for ancillary training data layers. The 20 m method incorporates an ensemble of three spectral indexes with optimal band thresholds, whereas the 10 m method achieves similar results using fewer bands and a single spectral index. A spectrally balanced and randomly generated set of training data based on the index values and optimal thresholds is used to fit machine learning classifiers. Statistical validation compares the 20 m ensemble-only method to the 20 m ensemble method with a random forest classifier. Results show the 20 m ensemble-only method had an overall accuracy of 89.5% (±1.7%), whereas the ensemble method combined with the random forest classifier performed better, with a ~4.8% higher overall accuracy: 20 m method (94.3% (±1.3%)) with optimal spectral index and SWIR thresholds of −0.03 and 800, respectively, and 10 m method (93.4% (±1.5%)) with optimal spectral index and NIR thresholds of −0.01 and 800, respectively. Comparison of other supervised classifiers trained automatically with the framework typically resulted in less than 1% accuracy improvement compared with the random forest, suggesting that training data quality is more important than classifier type. This straightforward framework enables accurate surface water classification across diverse geographies, making it ideal for development into a decision support tool for water resource managers.

Published
2021
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9. ‘Carbon-Monoxide-Releasing Molecule-2 (CORM-2)’ Is a Misnomer: Ruthenium Toxicity, Not CO Release, Accounts for Its Antimicrobial Effects

Author

Hannah M. Southam, Michael P. Williamson, Jonathan A. Chapman, Rhiannon L. Lyon, Clare R. Trevitt, Peter J. F. Henderson, and Robert K. Poole

Subjects
amino acid, antimicrobial agent, bacteria, carbon monoxide, CORM-2, glutathione, Therapeutics. Pharmacology, RM1-950
Abstract

Carbon monoxide (CO)-releasing molecules (CORMs) are used to deliver CO, a biological ‘gasotransmitter’, in biological chemistry and biomedicine. CORMs kill bacteria in culture and in animal models, but are reportedly benign towards mammalian cells. CORM-2 (tricarbonyldichlororuthenium(II) dimer, Ru2Cl4(CO)6), the first widely used and commercially available CORM, displays numerous pharmacological, biochemical and microbiological activities, generally attributed to CO release. Here, we investigate the basis of its potent antibacterial activity against Escherichia coli and demonstrate, using three globin CO sensors, that CORM-2 releases negligible CO (Kd 3 μM; His, Kd 130 μM) as determined by 1H-NMR. Glutathione is proposed to be an important intracellular target of CORM-2, with CORM-2 having a much higher affinity for reduced glutathione (GSH) than oxidised glutathione (GSSG) (GSH, Kd 2 μM; GSSG, Kd 25,000 μM). The toxicity of low, but potent, levels (15 μM) of CORM-2 was accompanied by cell lysis, as judged by the release of cytoplasmic ATP pools. The biological effects of CORM-2 and related CORMs, and the design of biological experiments, must be re-examined in the light of these data.

Published
2021
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10. The Coordination Chemistry and Stoichiometry of Extracted Diglycolamide Complexes of Lanthanides in Extraction Chromatography Materials

Author

Benjamin Reinhart, Kevin L. Lyon, Bruce A. Moyer, M. Abdul Momen, Santa Jansone-Popova, Ramedy Flores, Vyacheslav S. Bryantsev, Mary R. Healy, and Michael C. Cheshire

Subjects
chemistry.chemical_classification, Bastnäsite, Lanthanide, Chemistry, Ion adsorption, Rare-earth element, General Chemical Engineering, Monazite, Inorganic chemistry, Extraction (chemistry), General Chemistry, Stoichiometry, Coordination complex
Abstract

Industrial rare earth element (REE) separations predominantly utilize solvent extraction processes tailored toward conventional resources such as bastn��site, monazite, and ion adsorption clays. Advances in diglycolamide (DGA) chemistry have shown effective extraction characteristics for REE separations. However, limitations associated with traditional DGA solvent extraction techniques, such as third-phase formation and gelling, have hindered commercial viability. By supporting DGA extractants on porous resins such as polystyrene divinyl benzene (PS-DVB), the desirable combination of solvent extraction selectivity and ease of operation of sorbent columns can be achieved. To design a low-cost model for such solid-supported DGAs, extraction characteristics as influenced by the underlying coordination chemistry must be explored to achieve efficient functional systems. Within this study, we report novel DGA resin materials, each incorporating one of the DGAs N,N,N���,N���-tetra-(1-octyl)-3-oxapentane-1,5-diamide (TODGA), N,N���-dimethyl-N,N���-dioctyl-3-oxapentane-1,5-diamide (DMDODGA), and 2,2��-oxybis(1-(3-(((2-ethylhexyl)thio)methyl)-4-methylpyrrolidin-1-yl)ethan-1-one) (DEHPDGA). The affinity of DGAs across the lanthanide (Ln) series was evaluated for both hydrochloric acid and nitric acid media with varying Ln feed concentrations to study distribution ratios and loading characteristics. Focusing on dysprosium, extended X-Ray Absorption Fine Structure (EXAFS) and density functional theory (DFT) calculations were also utilized to explore coordination chemistry and their effects on ligand performance. The general trend for both acid media resulted in DMDODGA having the highest extraction strength of all three DGAs at varying acid concentrations. Coordination-chemistry analysis supported by loading data, DFT calculations, and EXAFS results under forced loading conditions posited less than the expected 3:1 ligand-to-metal coordination.

Published
2021

11. ASO Visual Abstract: Economic Impact of Reducing Re-excision Rates After Breast-Conserving Surgery in a Large, Integrated Health System

Author

Jeffery M, Chakedis, Annie, Tang, Alison, Savitz, Liisa L, Lyon, Patricia E, Palacios, Brooke, Vuong, Maihgan A, Kavanagh, Gillian E, Kuehner, and Sharon B, Chang

Subjects
Reoperation, Delivery of Health Care, Integrated, Carcinoma, Ductal, Breast, Humans, Margins of Excision, Breast Neoplasms, Female, Mastectomy, Segmental, Retrospective Studies
Published
2022

12. USING NECK DISABILITY INDEX, NUMERICAL PAIN RATING SCALE AND COMPUTERIZED DYNAMIC POSTUROGRAPHY TO ASSESS CORTICAL INTEGRATIVE THERAPY IN PRACTICE BASED CLINICAL RESEARCH

Author

Vestibular Technologies, Llc, Cheyenne, Wy, Elena Oggero, Richard L. Lyon, and Victor M. Pedro

Subjects
medicine.medical_specialty, Clinical research, Integrative therapy, Physical medicine and rehabilitation, Scale (ratio), business.industry, Posturography, medicine, business, Pain rating, Neck Disability Index
Abstract

In this retrospective study of adult patient’s charts from an outpatient clinical practice, three tools, Neck Disability Index (NDI), Numerical Pain Rating Scale (NPRS), and Computerized Dynamic Posturography (CDP), were investigated to evaluate how they are affected by demographics, anthropometry and clinical status, and if they are can detect the effects of Cortical Integrative Therapy (PedroCIT®) received by these patients all affected by neck pain. The results show that they are robust metrics not affected by sex, age, payee’s type, treatment duration, or comorbidities number. CDP is affected by the primary diagnosis (traumatic brain injury/concussion, vertigo/dizziness, migraine/headaches, or other), NDI and NPRS are not. Whereas NDI and NPRS could be used interchangeably as an overall measure of the pain the patient is experiencing, their results do not correlate in general with CDP, indicating the need to use both a subjective (NDI or NPRS) and an objective tool (CDP) as they capture different aspects: how the subject rates its ability to perform daily activities and how much pain it feels, and how the postural control system maintains balance. When considering the time constraint physicians often face when dealing with patients, this chart review points toward the possibility of using the simple NPRS as subjective measure of pain, and only one instead of several CDP tests to determine the pre-post effect of a therapy. Future studies evaluating PedroCIT® outcomes for specific diagnoses in larger populations, multiple location settings, and observation for longitudinal cohesion are needed before these metrics can be fully endorsed.

Published
2021

13. Economic Impact of Reducing Reexcision Rates after Breast-Conserving Surgery in a Large, Integrated Health System

Author

Jeffery M, Chakedis, Annie, Tang, Alison, Savitz, Liisa L, Lyon, Patricia E, Palacios, Brooke, Vuong, Maihgan A, Kavanagh, Gillian E, Kuehner, and Sharon B, Chang

Subjects
Reoperation, Carcinoma, Intraductal, Noninfiltrating, Delivery of Health Care, Integrated, Carcinoma, Ductal, Breast, Humans, Breast Neoplasms, Female, Mastectomy, Segmental, Retrospective Studies
Abstract

Reexcision after breast-conserving surgery (BCS) is costly for patients, but few studies have captured the economic burden to a healthcare system. We quantified operating room (OR) charges as well as OR time and then modeled expected savings of a reexcision reduction initiative.We performed a retrospective cohort review of all breast cancer patients with BCS between January 1, 2016 and December 31, 2020. Operating room charges of disposable supplies and implants as well as operative time were calculated.During the 5-year period, the 8804 patients who underwent BCS, 1628 (18.5%) required reexcision. The reexcision cohort was younger (61 vs. 64 years, p0.001), more likely to have ductal carcinoma in situ (DCIS) (23.7% vs. 15.2%, p0.001), and had larger tumors (T1+T2 73.2% vs. 83.1%, p0.001). Reexcision costs represented 39% of total costs, the cost per patient for surgery was fourfold higher for reexcision patients. Reexcision operations comprised 14% of total operating room (OR) time (1848 of 13,030 hours). The reexcision rate for 54 surgeons varied from 7.2-39.0% with 46% (n = 25) having a reexcision rate20%. A model simulating reducing reexcision rates to 20% or below for all surgeons reduced the reexcision rate to 16.2% overall. Using per procedure data, the model predicted a decrease in reexcision operations by 18% (327 operations), OR costs by 14% ($287,534), and OR time by 11% (204 hours).Reexcision after BCS represents 39% of direct OR costs and 14% of OR time in our healthcare system. Modest improvements in surgeon reexcision rates may lead to significant economic and OR time savings.

Published
2022

14. Prehospital clinical signs are a poor predictor of raised intracranial pressure following traumatic brain injury

Author

S. R. Taylor, Mark Wilson, Richard L Lyon, and Ewoud ter Avest

Subjects
Bradycardia, Male, Emergency Medical Services, Traumatic brain injury, Critical Care and Intensive Care Medicine, Likelihood ratios in diagnostic testing, 03 medical and health sciences, 0302 clinical medicine, Pupil Disorders, Heart rate, Brain Injuries, Traumatic, medicine, Humans, Glasgow Coma Scale, Original Research, Retrospective Studies, treatment, business.industry, Area under the curve, pre-hospital, 030208 emergency & critical care medicine, Retrospective cohort study, General Medicine, head, Middle Aged, medicine.disease, Blood pressure, trauma, Early Diagnosis, England, Anesthesia, Hypertension, Emergency Medicine, Female, medicine.symptom, Intracranial Hypertension, business, Respiratory Insufficiency, 030217 neurology & neurosurgery
Abstract

BackgroundFor the prehospital diagnosis of raised intracranial pressure (ICP), clinicians are reliant on clinical signs such as the Glasgow Coma Score (GCS), pupillary response and/or Cushing’s triad (hypertension, bradycardia and an irregular breathing pattern). This study aimed to explore the diagnostic accuracy of these signs as indicators of a raised ICP.MethodsWe performed a retrospective cohort study of adult patients attended by a Helicopter Emergency Medical Service (Air Ambulance Kent, Surrey Sussex), who had sustained a traumatic brain injury (TBI), requiring prehospital anaesthesia between 1 January 2016 and 1 January 2018. We established optimal cut-off values for clinical signs to identify patients with a raised ICP and investigated diagnostic accuracy for combinations of these values.ResultsOutcome data for 249 patients with TBI were available, of which 87 (35%) had a raised ICP. Optimal cut-off points for systolic blood pressure (SBP), heart rate (HR) and pupil diameter to discriminate patients with a raised ICP were, respectively, >160 mm Hg,5 mm. Cushing criteria (SBP >160 mm Hg and HR ConclusionTraditional clinical signs of raised ICP may under triage patients to prehospital treatment with hyperosmolar drugs. Further research should identify more accurate clinical signs or alternative non-invasive diagnostic aids in the prehospital environment.

Published
2020

16. A genetic toolbox for metabolic engineering of Issatchenkia orientalis

Author

Ping-Hung Hsieh, Xiaofei Song, Vinh G. Tran, William L. Lyon, Yasuo Yoshikuni, Mingfeng Cao, Huimin Zhao, Zengyi Shao, Zia Fatma, and Maryam Sayadi

Subjects
0106 biological sciences, In vivo DNA assembly, Autonomously replicating sequence, Saccharomyces cerevisiae, Bioengineering, Computational biology, Biology, 01 natural sciences, Applied Microbiology and Biotechnology, Genome, Pichia, Industrial Biotechnology, Metabolic engineering, 03 medical and health sciences, chemistry.chemical_compound, Plasmid, 010608 biotechnology, Genetics, CRISPR, DNA, Fungal, 030304 developmental biology, Issatchenkia orientalis, 0303 health sciences, Cas9, Terminators, DNA, biology.organism_classification, Fungal, Metabolic Engineering, chemistry, Promoters, Generic health relevance, CRISPR-Cas Systems, Centromere-like sequence, Biotechnology
Abstract

The nonconventional yeast Issatchenkia orientalis can grow under highly acidic conditions and has been explored for production of various organic acids. However, its broader application is hampered by the lack of efficient genetic tools to enable sophisticated metabolic manipulations. We recently constructed an episomal plasmid based on the autonomously replicating sequence (ARS) from Saccharomyces cerevisiae (ScARS) in I. orientalis and developed a CRISPR/Cas9 system for multiplexed gene deletions. Here we report three additional genetic tools including: (1) identification of a 0.8kb centromere-like (CEN-L) sequence from the I. orientalis genome by using bioinformatics and functional screening; (2) discovery and characterization of a set of constitutive promoters and terminators under different culture conditions by using RNA-Seq analysis and a fluorescent reporter; and (3) development of a rapid and efficient in vivo DNA assembly method in I. orientalis, which exhibited ~100% fidelity when assembling a 7kb-plasmid from seven DNA fragments ranging from 0.7kb to 1.7kb. As proof of concept, we used these genetic tools to rapidly construct a functional xylose utilization pathway in I. orientalis.

Published
2020

17. Risk of Non-Melanoma Skin Cancer in Connective Tissue Disease and The Impact of Immunosuppressive Therapy

Author

Liisa L Lyon, Nilanthi D Gunawardane, and Makdine Dontsi

Subjects
Adult, Male, medicine.medical_specialty, Skin Neoplasms, Time Factors, Disease, Scleroderma, 030207 dermatology & venereal diseases, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, medicine, Humans, Connective Tissue Diseases, Aged, Retrospective Studies, business.industry, Incidence, Incidence (epidemiology), General Medicine, Odds ratio, Squamous cell skin cancer, Middle Aged, medicine.disease, Connective tissue disease, Carcinoma, Basal Cell, 030220 oncology & carcinogenesis, Carcinoma, Squamous Cell, Female, Skin cancer, business, Immunosuppressive Agents, Cohort study
Abstract

The risk of skin cancer in connective tissue disease and the impact of immunosuppressive therapy on this risk has not been well studied. The objective of this study is to investigate the risk of non-melanoma skin cancer in patients with connective tissue disease and to assess the impact of immunosuppressive therapy on this risk. This is a retrospective case control cohort study of 8281 patients with connective tissue disease (systemic lupus erythematosus, Sjogrenrsquo;s disease and scleroderma) and 8281 age, race, and gender matched controls followed for a 5-year period between 2002-2012, who obtained their care from a large integrated multispecialty group practice in Northern California. The odds ratio for developing squamous cell skin cancer among patients with connective tissue disease was 1.47 (95% CI, 1.14-1.90) (P=0.003) while the odds ratio for developing all non-melanoma skin cancer was 1.26 (95% CI, 1.08-1.49) (P=0.005). Patients on immunosuppressive medication for at least one year had an OR of 1.69 (95% CI, 1.16-2.45) of developing non-melanoma skin cancer (P=0.006) when controlled for age, race, gender, type of connective tissue disease, smoking status, and health care utilization. Our study shows an increased risk of non-melanoma skin cancer among patients with connective tissue disease. We also note that patients on immunosuppressive therapy for at least one year had an increased incidence of non-melanoma skin cancer. Further studies are needed to confirm these findings. J Drugs Dermatol. 2020;19(5):nbsp;doi:10.36849/JDD.2020.4781.

Published
2020

18. Abstract P2-16-23: Weekly vs. every-3-week (q3wk) carboplatin (Cb) with paclitaxel (P) in neoadjuvant chemotherapy (NACT) for triple-negative breast cancer (TNBC): A retrospective analysis background

Author

Jessica L Lyon, Pulluri Bhargavi, Marie E. Wood, William M. Sikov, Pouyan N Changizzadeh, Bernard Cole, and Kitty Victoria

Subjects
Oncology, Cancer Research, Chemotherapy, medicine.medical_specialty, Cyclophosphamide, Veliparib, Bevacizumab, business.industry, medicine.medical_treatment, medicine.disease, Carboplatin, Regimen, chemistry.chemical_compound, Breast cancer, chemistry, Internal medicine, medicine, business, Triple-negative breast cancer, medicine.drug
Abstract

Background: Randomized studies have demonstrated that adding Cb to P as part of NACT for stage II-III TNBC significantly increases pathologic complete response (pCR) rates, but its optimal dose and schedule are uncertain. Since hematologic toxicities associated with higher dose (AUC 5-6) q3wk Cb with P necessitate treatment delays or omissions in some patients (pts), some oncologists favor administering lower dose (AUC 1.5-2) weekly Cb with P instead. While many believe that this approach is better tolerated, there is limited published data on its efficacy in TNBC. Oncologists at University of Vermont and Women and Infants Hospital of Rhode Island decided to analyze results achieved with weekly Cb/P in this setting, particularly pCR rate, and to compare them to those achieved with q3wk Cb/P. Methods: Databases at our institutions were reviewed to identify pts who received P and Cb as initial NACT for TNBC over the past 10 years for whom pathologic results and post-op follow-up were available. pCR was defined as ypT0/isN0, as reported by the institutional pathologists. We also assessed delivery of P and Cb. Disease-free survival was censored as of the patient’s last follow-up visit. Results: Of 76 pts identified (median age 49), 47 received weekly Cb/P and 29 q3wk Cb/P. All but 4 (all in the weekly Cb cohort) subsequently received doxorubicin and cyclophosphamide (AC). In the q3wk Cb cohort, 15 pts also received bevacizumab and 3 each may have received veliparib or atezolizumab on blinded clinical trials. pCR rates are tabulated below: Patient groupNpCR (95% CI)vs. q3week CbAll7654% (42-65%)Stage IIA-IIIA6058%Stage IIIB-IIIC1638%BRCA1/2 mutated989%q3week Cb/P2955% (36-74%)Weekly Cb/P4753% (38-68%)p>0.99 Most pts - 89% of weekly Cb and 90% of q3wk Cb - received ≥11 doses of weekly P; 83% of weekly Cb pts received ≥11 doses of Cb and 90% of q3wk Cb pts received all 4 planned doses of Cb. At median follow-up of 19 months (range Conclusions In this retrospective analysis, treatment with weekly Cb/P (typically followed by AC) resulted in a pCR rate similar to that seen with q3wk Cb/P, both in our own pts and as reported from CALGB 40603 (54%) and BrighTNess (58%). Given the ongoing debate on the role of Cb in NACT for TNBC, we believe that the weekly Cb/P regimen should be explored further, as it may be easier to administer without sacrificing efficacy. Citation Format: Kitty E Victoria, Pouyan N Changizzadeh, Bernard Cole, Pulluri Bhargavi, Jessica L Lyon, Marie E Wood, William M Sikov. Weekly vs. every-3-week (q3wk) carboplatin (Cb) with paclitaxel (P) in neoadjuvant chemotherapy (NACT) for triple-negative breast cancer (TNBC): A retrospective analysis background [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P2-16-23.

Published
2020

19. Proteomic profiling of concurrently isolated primary microvascular endothelial cells, pericytes, and vascular smooth muscle cells from adult mouse heart

Author

Zhiping Cao, Jessica Minnier, Lijuan Liu, Kristin L. Lyon Scott, Ashok P. Reddy, Phillip A. Wilmarth, Larry L. David, Anthony P. Barnes, Marjorie R. Grafe, Sanjiv Kaul, Nabil J. Alkayed, and Catherine M. Davis

Subjects
Proteomics, Mice, Multidisciplinary, Microcirculation, Animals, Endothelial Cells, RNA, Messenger, Pericytes, Muscle, Smooth, Vascular
Abstract

The microcirculation serves crucial functions in adult heart, distinct from those carried out by epicardial vessels. Microvessels are governed by unique regulatory mechanisms, impairment of which leads to microvessel-specific pathology. There are few treatment options for patients with microvascular heart disease, primarily due to limited understanding of underlying pathology. High throughput mRNA sequencing and protein expression profiling in specific cells can improve our understanding of microvessel biology and disease at the molecular level. Understanding responses of individual microvascular cells to the same physiological or pathophysiological stimuli requires the ability to isolate the specific cell types that comprise the functional units of the microcirculation in the heart, preferably from the same heart, to ensure that different cells have been exposed to the same in-vivo conditions. We developed an integrated process for simultaneous isolation and culture of the main cell types comprising the microcirculation in adult mouse heart: endothelial cells, pericytes, and vascular smooth muscle cells. These cell types were characterized with isobaric labeling quantitative proteomics and mRNA sequencing. We defined microvascular cell proteomes, identified novel protein markers, and confirmed established cell-specific markers. Our results allow identification of unique markers and regulatory proteins that govern microvascular physiology and pathology.

Published
2021

21. Automated Training Data Generation from Spectral Indexes for Mapping Surface Water Extent with Sentinel-2 Satellite Imagery at 10 m and 20 m Resolutions

Author

Sean P. Griffin, Kristofer Lasko, Sarah J. Becker, Andrew Griffin, Susan L. Lyon, and Megan C. Maloney

Subjects
Science, multispectral, Multispectral image, Type (model theory), Set (abstract data type), AWEI, Classifier (linguistics), Satellite imagery, Mathematics, Spectral index, MNDWI, business.industry, surface water, Pattern recognition, water index, Random forest, machine learning, automatic, SCL, General Earth and Planetary Sciences, Artificial intelligence, band ratios, business, Surface water, random forest
Abstract

This study presents an automated methodology to generate training data for surface water mapping from a single Sentinel-2 granule at 10 m (4 band, VIS/NIR) or 20 m (9 band, VIS/NIR/SWIR) resolution without the need for ancillary training data layers. The 20 m method incorporates an ensemble of three spectral indexes with optimal band thresholds, whereas the 10 m method achieves similar results using fewer bands and a single spectral index. A spectrally balanced and randomly generated set of training data based on the index values and optimal thresholds is used to fit machine learning classifiers. Statistical validation compares the 20 m ensemble-only method to the 20 m ensemble method with a random forest classifier. Results show the 20 m ensemble-only method had an overall accuracy of 89.5% (±1.7%), whereas the ensemble method combined with the random forest classifier performed better, with a ~4.8% higher overall accuracy: 20 m method (94.3% (±1.3%)) with optimal spectral index and SWIR thresholds of −0.03 and 800, respectively, and 10 m method (93.4% (±1.5%)) with optimal spectral index and NIR thresholds of −0.01 and 800, respectively. Comparison of other supervised classifiers trained automatically with the framework typically resulted in less than 1% accuracy improvement compared with the random forest, suggesting that training data quality is more important than classifier type. This straightforward framework enables accurate surface water classification across diverse geographies, making it ideal for development into a decision support tool for water resource managers.

Published
2021
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22. (Phospho)Proteomic dataset of ischemia- and ultrasound- stimulated mouse cardiac endothelial cells in vitro

Author

Sanjiv Kaul, Azzdine Y. Ammi, Igor V. Dykan, Kristin L. Lyon Scott, Nabil J. Alkayed, Uchenna Emechebe, David Giraud, Catherine M. Davis, Anthony P. Barnes, Jason E. McDermott, and Jon M. Jacobs

Subjects
Proteomics, Science (General), Phosphoproteomics, medicine.medical_treatment, Computer applications to medicine. Medical informatics, Ischemia, R858-859.7, Q1-390, Endothelial cell, Ultrasound, medicine, Data Article, Multidisciplinary, Therapeutic ultrasound, business.industry, Chemistry, Heart, medicine.disease, In vitro, Cell biology, Endothelial stem cell, Phosphorylation, business
Abstract

Cardiac endothelial cells respond to both ischemia and therapeutic ultrasound; the proteomic changes underlying these responses are unknown. This data article provides raw and processed data resulting from our global, unbiased phosphoproteomics investigation conducted on primary mouse cardiac endothelial cells exposed to ischemia (2-hour oxygen glucose deprivation) and ultrasound (250 kHz, 1.2 MPa) in vitro [1]. Proteins were extracted from cell lysates and enriched phosphopeptides were analyzed with a high mass accuracy liquid chromatrography (LC) - tandem mass spectrometry (MS/MS) proteomic platform, yielding multiple alterations in both total protein levels and phosphorylation events in response to ischemic injury and ultrasound. This dataset can be used as a reference for future studies on the cardiac endothelial response to ischemia and the mechanistic underpinnings of the cellular response to ultrasound, with the potential to yield clinically relevant therapeutic targets.

Published
2021

23. Evaluating the association of central centrifugal cicatricial alopecia (CCCA) and fibroproliferative disorders

Author

Aman Samrao, L Lyon, and P Mirmirani

Subjects
Central centrifugal cicatricial alopecia, Adult, medicine.medical_specialty, Dermatology, Scarring alopecia, Gastroenterology, End stage renal disease, Body Mass Index, Cicatrix, Risk Factors, Internal medicine, medicine, Humans, Aged, Retrospective Studies, Aged, 80 and over, Kidney, Uterine leiomyoma, Scalp, business.industry, Interstitial lung disease, Alopecia, General Medicine, Middle Aged, medicine.disease, Fibrosis, Black or African American, medicine.anatomical_structure, Female, Steatohepatitis, business, Body mass index
Abstract

Background In central centrifugal cicatricial alopecia (CCCA), a lymphocytic scarring alopecia that primarily affects black women, it has been postulated that there is a "pro-fibrotic" tendency and increased risk for systemic fibroproliferative disorders. Objective To determine whether women with biopsy-proven CCCA have a greater likelihood of systemic fibroproliferative disorders (FPDs) of the lungs (interstitial lung disease), arteries (atherosclerosis of the aorta), liver (non-alcoholic steatohepatitis), kidney (end stage renal disease), or uterus (uterine leiomyoma). Methods We conducted a retrospective matched cohort study evaluating 427 cases with biopsy-proven CCCA and 1281 age- and sex-matched controls. Results Black women with biopsy-proven CCCA, were not more likely to have interstitial lung disease (ILD), atherosclerosis of the aorta, non-alcoholic steatohepatitis (NASH), end stage renal disease (ESRD), or uterine leiomyoma. Central centrifugal cicatricial alopecia was associated with a history of never smoking and higher body mass index. Conclusion In this large cohort of biopsy-proven women with CCCA, there was no association with specific fibroproliferative disorders when compared with age and sex matched controls. Future longitudinal studies may help confirm these results.

Published
2021

25. Impacts of noise and structure on quantum information encoded in a quantum memory

Author

Adam L. Lyon, Eric Holland, Keshav Kapoor, Yuri Alexeev, James B. Kowalkowski, A. Barış Özgüler, and Matthew Otten

Subjects
Physics, Quantum Physics, FOS: Physical sciences, TheoryofComputation_GENERAL, Noise (electronics), Quantum state, ComputerSystemsOrganization_MISCELLANEOUS, Qubit, Relevance (information retrieval), Statistical physics, Quantum information, Quantum Physics (quant-ph), Quantum information science, Quantum, Quantum computer
Abstract

As larger, higher-quality quantum devices are built and demonstrated in quantum information applications, such as quantum computation and quantum communication, the need for high-quality quantum memories to store quantum states becomes ever more pressing. Future quantum devices likely will use a variety of physical hardware, some being used primarily for processing of quantum information and others for storage. Here, we study the correlation of the structure of quantum information with physical noise models of various possible quantum memory implementations. Through numerical simulation of different noise models and approximate analytical formulas applied to a variety of interesting quantum states, we provide comparisons between quantum hardware with different structure, including both qubit- and qudit-based quantum memories. Our findings point to simple, experimentally relevant formulas for the relative lifetimes of quantum information in different quantum memories and have relevance to the design of hybrid quantum devices., Comment: 12 pages, 7 figures

Published
2021

27. 'Carbon-Monoxide-Releasing Molecule-2 (CORM-2)' Is a Misnomer: Ruthenium Toxicity, Not CO Release, Accounts for Its Antimicrobial Effects

Author

Michael P. Williamson, Rhiannon L. Lyon, Jonathan A. Chapman, Peter J. F. Henderson, Clare R. Trevitt, Hannah M. Southam, and Robert K. Poole

Subjects
0301 basic medicine, Lysis, metal, Physiology, Clinical Biochemistry, RM1-950, ruthenium compound, Biochemistry, Article, carbon monoxide, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, antimicrobial agent, glutathione, bacteria, Molecular Biology, Histidine, chemistry.chemical_classification, biology, thiol, Cell Biology, Glutathione, biology.organism_classification, Amino acid, 030104 developmental biology, chemistry, 030220 oncology & carcinogenesis, Toxicity, Thiol, Therapeutics. Pharmacology, Bacteria, amino acid, CORM-2, Cysteine
Abstract

Carbon monoxide (CO)-releasing molecules (CORMs) are used to deliver CO, a biological ‘gasotransmitter’, in biological chemistry and biomedicine. CORMs kill bacteria in culture and in animal models, but are reportedly benign towards mammalian cells. CORM-2 (tricarbonyldichlororuthenium(II) dimer, Ru2Cl4(CO)6), the first widely used and commercially available CORM, displays numerous pharmacological, biochemical and microbiological activities, generally attributed to CO release. Here, we investigate the basis of its potent antibacterial activity against Escherichia coli and demonstrate, using three globin CO sensors, that CORM-2 releases negligible CO (&lt, 0.1 mol CO per mol CORM-2). A strong negative correlation between viability and cellular ruthenium accumulation implies that ruthenium toxicity underlies biocidal activity. Exogenous amino acids and thiols (especially cysteine, glutathione and N-acetyl cysteine) protected bacteria against inhibition of growth by CORM-2. Bacteria treated with 30 μM CORM-2, with added cysteine and histidine, exhibited no significant loss of viability, but were killed in the absence of these amino acids. Their prevention of toxicity correlates with their CORM-2-binding affinities (Cys, Kd 3 μM, His, Kd 130 μM) as determined by 1H-NMR. Glutathione is proposed to be an important intracellular target of CORM-2, with CORM-2 having a much higher affinity for reduced glutathione (GSH) than oxidised glutathione (GSSG) (GSH, Kd 2 μM, GSSG, Kd 25,000 μM). The toxicity of low, but potent, levels (15 μM) of CORM-2 was accompanied by cell lysis, as judged by the release of cytoplasmic ATP pools. The biological effects of CORM-2 and related CORMs, and the design of biological experiments, must be re-examined in the light of these data.

Published
2021

28. Measurement of the anomalous precession frequency of the muon in the Fermilab Muon <math><mi>g</mi><mo>−</mo><mn>2</mn></math> Experiment

Author

P. Bloom, P. Kammel, Timothy Chupp, C. Schlesier, P. Girotti, M. J. Lee, A. Nath, Frederick Gray, C. Gabbanini, D. Shemyakin, C. C. Polly, L. Cotrozzi, V. N. Duginov, G. Venanzoni, T. Stuttard, G. Lukicov, M. Iacovacci, H. E. Swanson, T. P. Gorringe, B. C.K. Casey, J. Grange, N. H. Tran, K. W. Hong, K. T. Pitts, R. T. Chislett, Fabrizio Marignetti, A. Lucà, Martin Fertl, E. Barlas-Yucel, J. George, A. Kuchibhotla, Dariush Hampai, T. Walton, D. Cauz, G. Sweetmore, J. Bono, I. R. Bailey, Dinko Pocanic, J. L. Holzbauer, Gavin Grant Hesketh, J. L. Ritchie, Alexander Keshavarzi, H. P. Binney, A. García, Manolis Kargiantoulakis, A. Basti, Barry King, B. MacCoy, M. Kiburg, David Rubin, Alexey Anisenkov, V. Tishchenko, Marin Karuza, H. Nguyen, P. Di Meo, Claudio Ferrari, N. Kinnaird, Liang Li, L. K. Gibbons, N. Raha, R. Chakraborty, D. Flay, R. N. Pilato, M. Incagli, M. Lancaster, Michael Syphers, S. Baeßler, T. J. V. Bowcock, J. LaBounty, G. M. Piacentino, D. Vasilkova, S. Park, A. Lusiani, T. Albahri, R. Madrak, Z. Hodge, Dominik Stöckinger, A. Chapelain, Brad Plaster, R. M. Carey, Dongdong Li, J. D. Crnkovic, D. W. Hertzog, Selcuk Haciomeroglu, J. P. Miller, Andrzej Wolski, Tabitha Halewood-leagas, Franco Bedeschi, B. L. Roberts, S. Grant, J. Fry, Kyoko Makino, J.B. Hempstead, S. Di Falco, K. S. Khaw, W. Turner, Z. Chu, A. T. Herrod, J. D. Price, T. Barrett, N. V. Khomutov, M. Farooq, P. Winter, J. Stapleton, R. Fatemi, D. Kawall, S. Charity, L. Santi, A. Schreckenberger, E. Valetov, B. Quinn, Yannis K. Semertzidis, B. Li, K. L. Giovanetti, A. E. Tewsley-Booth, S. Lee, Ran Hong, S. Leo, M. D. Galati, A.T. Fienberg, Sultan B. Dabagov, S. P. Chang, L. Kelton, G. Pauletta, Rachel Osofsky, G. Di Sciascio, S. Ganguly, D.A. Sweigart, Meghna Bhattacharya, Thomas Teubner, A. Gioiosa, S. Miozzi, B. Kiburg, J. Esquivel, A. Lorente Campos, David Kessler, E. Bottalico, M. Sorbara, Christopher Stoughton, J. Mott, Kayleigh Anne Thomson, Giovanni Cantatore, A. Fioretti, A. Anastasi, Wanwei Wu, Karie Badgley, S. Mastroianni, O. Kim, William Morse, L. Welty-Rieger, A. L. Lyon, A. Hibbert, A. Weisskopf, P. T. Debevec, W. Gohn, E. J. Ramberg, R. Di Stefano, E. Kraegeloh, Martin Berz, Z. Khechadoorian, S. Ramachandran, D. Stratakis, S. Corrodi, D. A. Tarazona, V. A. Baranov, J. Choi, F. Han, Nicholas A. Pohlman, M. Eads, I. Logashenko, N. A. Kuchinskiy, M. W. Smith, Y. I. Kim, A. Driutti, J. Kaspar, K. R. Labe, N. S. Froemming, E. Frlež, Albahri, T., Anastasi, A., Anisenkov, A., Badgley, K., Baeßler, S., Bailey, I., Baranov, V. A., Barlas-Yucel, E., Barrett, T., Basti, A., Bedeschi, F., Berz, M., Bhattacharya, M., Binney, H. P., Bloom, P., Bono, J., Bottalico, E., Bowcock, T., Cantatore, G., Carey, R. M., Casey, B. C. K., Cauz, D., Chakraborty, R., Chang, S. P., Chapelain, A., Charity, S., Chislett, R., Choi, J., Chu, Z., Chupp, T. E., Corrodi, S., Cotrozzi, L., Crnkovic, J. D., Dabagov, S., Debevec, P. T., Di Falco, S., Di Meo, P., Di Sciascio, G., Di Stefano, R., Driutti, A., Duginov, V. N., Eads, M., Esquivel, J., Farooq, M., Fatemi, R., Ferrari, C., Fertl, M., Fienberg, A. T., Fioretti, A., Flay, D., Frlež, E., Froemming, N. S., Fry, J., Gabbanini, C., Galati, M. D., Ganguly, S., Garcia, A., George, J., Gibbons, L. K., Gioiosa, A., Giovanetti, K. L., Girotti, P., Gohn, W., Gorringe, T., Grange, J., Grant, S., Gray, F., Haciomeroglu, S., Halewood-Leagas, T., Hampai, D., Han, F., Hempstead, J., Herrod, A. T., Hertzog, D. W., Hesketh, G., Hibbert, A., Hodge, Z., Holzbauer, J. L., Hong, K. W., Hong, R., Iacovacci, M., Incagli, M., Kammel, P., Kargiantoulakis, M., Karuza, M., Kaspar, J., Kawall, D., Kelton, L., Keshavarzi, A., Kessler, D., Khaw, K. S., Khechadoorian, Z., Khomutov, N. V., Kiburg, B., Kiburg, M., Kim, O., Kim, Y. I., King, B., Kinnaird, N., Kraegeloh, E., Kuchibhotla, A., Kuchinskiy, N. A., Labe, K. R., Labounty, J., Lancaster, M., Lee, M. J., Lee, S., Leo, S., Li, B., Li, D., Li, L., Logashenko, I., Lorente Campos, A., Lucà, A., Lukicov, G., Lusiani, A., Lyon, A. L., Maccoy, B., Madrak, R., Makino, K., Marignetti, F., Mastroianni, S., Miller, J. P., Miozzi, S., Morse, W. M., Mott, J., Nath, A., Nguyen, H., Osofsky, R., Park, S., Pauletta, G., Piacentino, G. M., Pilato, R. N., Pitts, K. T., Plaster, B., Počanić, D., Pohlman, N., Polly, C. C., Price, J., Quinn, B., Raha, N., Ramachandran, S., Ramberg, E., Ritchie, J. L., Roberts, B. L., Rubin, D. L., Santi, L., Schlesier, C., Schreckenberger, A., Semertzidis, Y. K., Shemyakin, D., Smith, M. W., Sorbara, M., Stöckinger, D., Stapleton, J., Stoughton, C., Stratakis, D., Stuttard, T., Swanson, H. E., Sweetmore, G., Sweigart, D. A., Syphers, M. J., Tarazona, D. A., Teubner, T., Tewsley-Booth, A. E., Thomson, K., Tishchenko, V., Tran, N. H., Turner, W., Valetov, E., Vasilkova, D., Venanzoni, G., Walton, T., Weisskopf, A., Welty-Rieger, L., Winter, P., Wolski, A., and Wu, W.

Subjects
Physics::Instrumentation and Detectors, Measure (physics), FOS: Physical sciences, 7. Clean energy, 01 natural sciences, Omega, High Energy Physics - Experiment, Nuclear physics, Nuclear Experiment, High Energy Physics - Experiment (hep-ex), muon, 0103 physical sciences, Fermilab, Nuclear Experiment (nucl-ex), 010306 general physics, Larmor precession, Physics, Muon, 010308 nuclear & particles physics, Settore FIS/01 - Fisica Sperimentale, anomalous magnetic moment, 3. Good health, Magnetic field, Physics::Accelerator Physics, High Energy Physics::Experiment, Storage ring, Fermi Gamma-ray Space Telescope
Abstract

The Muon g-2 Experiment at Fermi National Accelerator Laboratory (FNAL) has measured the muon anomalous precession frequency $\omega_a$ to an uncertainty of 434 parts per billion (ppb), statistical, and 56 ppb, systematic, with data collected in four storage ring configurations during its first physics run in 2018. When combined with a precision measurement of the magnetic field of the experiment's muon storage ring, the precession frequency measurement determines a muon magnetic anomaly of $a_{\mu}({\rm FNAL}) = 116\,592\,040(54) \times 10^{-11}$ (0.46 ppm). This article describes the multiple techniques employed in the reconstruction, analysis and fitting of the data to measure the precession frequency. It also presents the averaging of the results from the eleven separate determinations of \omega_a, and the systematic uncertainties on the result., Comment: 29 pages, 19 figures. Published in Physical Review D

Published
2021

29. Eschatology

Author

Jodie L. Lyon

Abstract

Reinhold Niebuhr’s eschatology is the culmination of his anthropology. Because humans are finite, history must have an end; because humans are free, history must have a purpose. The biblical prophets anticipated the climax of history in their visions of the messiah, but also exposed the pride inherent in human hearts. Jesus revealed the meaning of history through the cross: suffering love. Since agape will always be at least partially defeated in history, humans currently wait in an interim for the second coming of Christ and the triumph of sacrificial love. Niebuhr explains that Scripture proclaims the eschaton through the symbols of the Parousia, the Last Judgement, and the Resurrection. These symbols must be viewed as meaningful without being literal. Pride often perverts eschatological understanding, causing humans to ignore the limitations of humanity or despair of their finitude. Niebuhr’s eschatological proclamations are circumspect, but their vagueness allows them to avoid the pride of which Niebuhr so frequently warns.

Published
2021

30. Study of the normalized transverse momentum distribution of W bosons produced in pp¯ collisions at s=1.96 TeV

Author

Robert Hirosky, Joseph Haley, Wade Cameron Fisher, R. Van Kooten, V. A. Kuzmin, L. S. Vertogradov, M. D. Corcoran, A. Evdokimov, R. Demina, G. Gutierrez, Hongfang Liu, J. Orduna, L. Han, I. Ripp-Baudot, P. G. Mercadante, R. Bernhard, W. E. Cooper, F. Badaud, Arnaud Duperrin, A. D. Bross, P. Skubic, Petr Vokac, J. Franc, T. Nunnemann, B. Baldin, S. Desai, J. Snow, Y. Gershtein, U. Bassler, J. P. Negret, Lev Dudko, Lidija Zivkovic, E. W. Varnes, H. Hegab, V. Parihar, R. Luna-Garcia, Avto Kharchilava, T. Hoang, Alexander Khanov, Julie Managan Hogan, J. Sekaric, S. W. Youn, Ruchika Nayyar, J. K. Kraus, Y. T. Tsai, S. Atkins, Y. Ilchenko, G. Golovanov, D. Menezes, Michael Hildreth, N. Prokopenko, T. R. Wyatt, Per Jönsson, Jonathan Michael Hays, Suneel Dutt, H. T. Nguyen, Y. A. Yatsunenko, M. Merkin, Victor Daniel Elvira, A. Kumar, Maxim Perfilov, Brad Abbott, Pierre Petroff, H. G. Evans, S. Uzunyan, Aaron Dominguez, M. H.L.S. Wang, Jose Andres Garcia-Gonzalez, Sung Keun Park, I. Howley, Harald Fox, L. Suter, R. Magaña-Villalba, S. W. Cho, Gianluca Petrillo, Andrew Askew, Shabnam Jabeen, Jan Stark, S. Kermiche, V. Hynek, G. F. Chen, Y. N. Kharzheev, Jean-Arcady Meyer, L. Bagby, Y. Xie, A. Das, Amnon Harel, Gregorio Bernardi, D. Denisov, G. D. Alexeev, Flera Rizatdinova, H. Greenlee, I. A. Vasilyev, R. Illingworth, Martin Grunewald, K. M. Chan, P. Rubinov, Kristian Harder, L. Bellantoni, T. Head, K. Devaughan, Andreas Werner Jung, Todd Adams, Anthony Ross, Y. Fu, Milos Lokajicek, V. M. Abazov, V. Shary, Darren Price, H. L. Li, Thomas Ferbel, M. Prewitt, Lars Sonnenschein, S. Uvarov, S. J. De Jong, Gregory R. Snow, Liang Li, P. D. Grannis, P. N. Ratoff, Y. Peters, S. Greder, Cecilia Elena Gerber, D. Li, Raymond Brock, R. Beuselinck, D. Karmanov, Maksym Titov, M. Begalli, S. Caughron, Arnulf Quadt, P. C. Bhat, Alexander Grohsjean, Hua-Lei Yin, Darien Wood, D. V. Bandurin, D. Cutts, W. M. Lee, Elemer Nagy, J. F. Bartlett, J. K. Lim, Lev Uvarov, Mark Richard James Williams, Robert Kehoe, G. Ginther, C. P. Buszello, Marco Verzocchi, W. Ye, P. H. Garbincius, S. Choi, Sudhir Malik, A. L. Lyon, Ia Iashvili, A. V. Kozelov, Jianming Qian, Vladimir Gavrilov, Iain Alexander Bertram, Graham Savage, A. Melnitchouk, J. P. Agnew, S. Blessing, A. Brandt, I. Heredia-De La Cruz, Alice Bean, Ph. Lebrun, P. F. Ding, Elizaveta Shabalina, A. P. Heinson, A. K.A. Maciel, Frederic Deliot, Christopher George Tully, Robert J. McCarthy, A. Sanchez-Hernandez, Manjit Kaur, L. Welty-Rieger, Gordon Watts, N. Osman, Jakub Cúth, A. Patwa, Mikkel B. Johnson, V. V. Tokmenin, Fine Fiedler, Neeti Parashar, H. A. Neal, Volker Buescher, Vipin Bhatnagar, M. A. Pleier, J. Clutter, Q. Z. Li, J. M. Hauptman, A. A. Shchukin, Jean-Francois Grivaz, X. B. Bu, E. Kajfasz, D. R. Claes, Gavin Davies, K. Yip, I. Kiselevich, Mykola Savitskyi, A. Jonckheere, I. Razumov, M. Zielinski, Jason Dhia Mansour, A. B. Meyer, G. J. Grenier, Lei Feng, V. N. Evdokimov, M. Rominsky, A. Juste, A. Lobodenko, G. Alkhazov, Phillip Gutierrez, K. Soustruznik, Patrick Slattery, J. Weichert, Kenneth Bloom, J. T. Linnemann, B. C. Choudhary, M. Hohlfeld, Yuji Enari, N. K. Mondal, D. Boline, H. T. Diehl, Shangfeng Yang, M. Brochmann, Tianchi Zhao, Cecile Deterre, P. Neustroev, V. L. Malyshev, V. Simak, S. Bhatia, Sabine Lammers, J. L. Holzbauer, S. W. Lee, Meenakshi Narain, Y. Scheglov, John Hobbs, S. Chakrabarti, A. Boehnlein, Daria Zieminska, C. H. Wang, Xiaowen Lei, Don Lincoln, W. Geng, Jiaming Yu, Christian Schwanenberger, Thibault Guillemin, Mitchell Wayne, H. Schellman, J. M. Kohli, Christophe Royon, H. E. Fisk, G. Sajot, M. S. Jeong, Stefan Grünendahl, J. Ellison, S. Cihangir, Emilien Chapon, Y. Aushev, Fabrice Couderc, Kamil Augsten, M. R. Adams, S. Fuess, N. Khalatyan, T. Kurca, R. Madar, F. Miconi, A. V. Popov, A. Jayasinghe, Philip Baringer, Sergey Burdin, Matthias Schott, K. Herner, G. W. Wilson, A. Y. Verkheev, E. E. Boos, Oleg Brandt, Dmitri Tsybychev, R. Lopes De Sá, J. Martínez-Ortega, R. Partridge, M. Buehler, B. Tuchming, B. Hoeneisen, Ulrich Heintz, S. Banerjee, S. P. Denisov, H. D. Wahl, D. N. Brown, Guennadi Borissov, J. Warchol, Michael Mulhearn, Aran Garcia-Bellido, Gavin Grant Hesketh, Horst Severini, Heriberto Castilla-Valdez, H. S. Lee, Lee Sawyer, P. Svoisky, D. Hedin, M. Cooke, Frank Filthaut, M. Diesburg, Carlos Avila, J. Joshi, M. P. Sanders, Erik A. Johnson, Anand Kumar Dubey, Richard B. Lipton, K. A. Johns, A. Drutskoy, G. C. Blazey, D. A. Stoyanova, P. Jiang, E. De La Cruz-Burelo, Konstantinos Petridis, Y. L. Liu, R. Yamada, Tim Scanlon, S. Söldner-Rembold, A. Fauré, Nikos Varelas, M. M. Meijer, A. K. Alton, T. Yasuda, C. L. McGivern, Bing Zhou, R. Jesik, Zdenek Hubacek, B. Quinn, A. Pal, M. Strauss, V. Bunichev, Thomas Hebbeker, Carsten Hensel, Scott Snyder, O. Shkola, M. Eads, M. Jaffré, Markus Wobisch, Nazar Stefaniuk, B. S. Acharya, J. Zennamo, Suman Bala Beri, B. Penning, Alexander Kupco, A. S. Ito, I. Katsanos, B. C. K. Casey, N. Parua, D. Vilanova, Randy Ruchti, V. V. Lipaev, J. Lellouch, D. Edmunds, Angelo De Souza Santos, Zhenyu Ye, E. Camacho-Pérez, Reinhard Schwienhorst, M. C. Cousinou, W. M. Van Leeuwen, V. Aushev, V. E. Bazterra, Marc Besancon, Emanuela Barberis, M. Borysova, O. Gogota, R. D. Schamberger, Ji Zhu, Savanna Marie Shaw, M. Vesterinen, V. M. Podstavkov, M. Fortner, A. Chandra, and Ph Gris

Subjects
Quantum chromodynamics, Physics, Luminosity (scattering theory), 010308 nuclear & particles physics, High Energy Physics::Phenomenology, Electroweak interaction, Detector calibration, 01 natural sciences, Nuclear physics, Distribution (mathematics), 0103 physical sciences, Transverse momentum, Nuclear Experiment, 010306 general physics, Boson, Bar (unit)
Abstract

We present a study of the normalized transverse momentum distribution of W bosons produced in p (p) over bar collisions, using data corresponding to an integrated luminosity of 4.35 fb(-1) collecte ...

Published
2021

31. Odderon Exchange from Elastic Scattering Differences between pp and pp[over ¯] Data at 1.96 TeV and from pp Forward Scattering Measurements

Author

V M, Abazov, B, Abbott, B S, Acharya, M, Adams, T, Adams, J P, Agnew, G D, Alexeev, G, Alkhazov, A, Alton, G A, Alves, G, Antchev, A, Askew, P, Aspell, A C S, Assis Jesus, I, Atanassov, S, Atkins, K, Augsten, V, Aushev, Y, Aushev, V, Avati, C, Avila, F, Badaud, J, Baechler, L, Bagby, C, Baldenegro Barrera, B, Baldin, D V, Bandurin, S, Banerjee, E, Barberis, P, Baringer, J, Barreto, J F, Bartlett, U, Bassler, V, Bazterra, A, Bean, M, Begalli, L, Bellantoni, V, Berardi, S B, Beri, G, Bernardi, R, Bernhard, M, Berretti, I, Bertram, M, Besançon, R, Beuselinck, P C, Bhat, S, Bhatia, V, Bhatnagar, G, Blazey, S, Blessing, K, Bloom, A, Boehnlein, D, Boline, E E, Boos, V, Borchsh, G, Borissov, M, Borysova, E, Bossini, U, Bottigli, M, Bozzo, A, Brandt, O, Brandt, M, Brochmann, R, Brock, A, Bross, D, Brown, X B, Bu, M, Buehler, V, Buescher, V, Bunichev, S, Burdin, H, Burkhardt, C P, Buszello, F S, Cafagna, E, Camacho-Pérez, W, Carvalho, B C K, Casey, H, Castilla-Valdez, M G, Catanesi, S, Caughron, S, Chakrabarti, K M, Chan, A, Chandra, E, Chapon, G, Chen, S W, Cho, S, Choi, B, Choudhary, S, Cihangir, D, Claes, J, Clutter, M, Cooke, W E, Cooper, M, Corcoran, F, Couderc, M-C, Cousinou, M, Csanád, T, Csörgő, J, Cuth, D, Cutts, H, da Motta, A, Das, G, Davies, M, Deile, S J, de Jong, E, De La Cruz-Burelo, F, De Leonardis, F, Déliot, R, Demina, D, Denisov, S P, Denisov, C, De Oliveira Martins, S, Desai, C, Deterre, K, DeVaughan, H T, Diehl, M, Diesburg, P F, Ding, A, Dominguez, M, Doubek, A, Drutskoy, D, Druzhkin, A, Dubey, L V, Dudko, A, Duperrin, S, Dutt, M, Eads, D, Edmunds, K, Eggert, J, Ellison, V D, Elvira, Y, Enari, V, Eremin, H, Evans, A, Evdokimov, V N, Evdokimov, A, Fauré, L, Feng, T, Ferbel, F, Ferro, F, Fiedler, A, Fiergolski, F, Filthaut, W, Fisher, H E, Fisk, L, Forthomme, M, Fortner, H, Fox, J, Franc, S, Fuess, P H, Garbincius, F, Garcia, A, Garcia-Bellido, J A, García-González, V, Gavrilov, W, Geng, V, Georgiev, C E, Gerber, Y, Gershtein, S, Giani, G, Ginther, O, Gogota, G, Golovanov, P D, Grannis, S, Greder, H, Greenlee, G, Grenier, Ph, Gris, J-F, Grivaz, A, Grohsjean, S, Grünendahl, M W, Grünewald, L, Grzanka, T, Guillemin, G, Gutierrez, P, Gutierrez, J, Haley, J, Hammerbauer, L, Han, K, Harder, A, Harel, J M, Hauptman, J, Hays, T, Head, T, Hebbeker, D, Hedin, H, Hegab, A P, Heinson, U, Heintz, C, Hensel, I, Heredia-De La Cruz, K, Herner, G, Hesketh, M D, Hildreth, R, Hirosky, T, Hoang, J D, Hobbs, B, Hoeneisen, J, Hogan, M, Hohlfeld, J L, Holzbauer, I, Howley, Z, Hubacek, V, Hynek, I, Iashvili, Y, Ilchenko, R, Illingworth, T, Isidori, A S, Ito, V, Ivanchenko, S, Jabeen, M, Jaffré, M, Janda, A, Jayasinghe, M S, Jeong, R, Jesik, P, Jiang, K, Johns, E, Johnson, M, Johnson, A, Jonckheere, P, Jonsson, J, Joshi, A W, Jung, A, Juste, E, Kajfasz, A, Karev, D, Karmanov, J, Kašpar, I, Katsanos, M, Kaur, B, Kaynak, R, Kehoe, S, Kermiche, N, Khalatyan, A, Khanov, A, Kharchilava, Y N, Kharzheev, I, Kiselevich, J M, Kohli, J, Kopal, A V, Kozelov, J, Kraus, A, Kumar, V, Kundrát, A, Kupco, T, Kurča, V A, Kuzmin, S, Lami, S, Lammers, G, Latino, P, Lebrun, H S, Lee, S W, Lee, W M, Lee, X, Le, J, Lellouch, D, Li, H, Li, L, Li, Q Z, Li, J K, Lim, D, Lincoln, C, Lindsey, R, Linhart, J, Linnemann, V V, Lipaev, R, Lipton, H, Liu, Y, Liu, A, Lobodenko, M, Lokajicek, M V, Lokajíček, R, Lopes de Sa, L, Losurdo, F, Lucas Rodríguez, R, Luna-Garcia, A L, Lyon, A K A, Maciel, M, Macrí, R, Madar, R, Magaña-Villalba, M, Malawski, H B, Malbouisson, S, Malik, V L, Malyshev, J, Mansour, J, Martínez-Ortega, R, McCarthy, C L, McGivern, M M, Meijer, A, Melnitchouk, D, Menezes, P G, Mercadante, M, Merkin, A, Meyer, J, Meyer, F, Miconi, N, Minafra, S, Minutoli, J, Molina, N K, Mondal, M, Mulhearn, L, Mundim, T, Naaranoja, E, Nagy, M, Narain, R, Nayyar, H A, Neal, J P, Negret, F, Nemes, P, Neustroev, H T, Nguyen, H, Niewiadomski, T, Novák, T, Nunnemann, V, Oguri, E, Oliveri, F, Oljemark, J, Orduna, M, Oriunno, N, Osman, K, Österberg, A, Pal, P, Palazzi, N, Parashar, V, Parihar, S K, Park, R, Partridge, N, Parua, R, Pasechnik, V, Passaro, A, Patwa, B, Penning, M, Perfilov, Z, Peroutka, Y, Peters, K, Petridis, G, Petrillo, P, Pétroff, M-A, Pleier, V M, Podstavkov, A V, Popov, W L, Prado da Silva, M, Prewitt, D, Price, J, Procházka, N, Prokopenko, J, Qian, A, Quadt, B, Quinn, M, Quinto, T G, Raben, E, Radermacher, E, Radicioni, M, Rangel, P N, Ratoff, F, Ravotti, I, Razumov, I, Ripp-Baudot, F, Rizatdinova, E, Robutti, R F, Rodrigues, M, Rominsky, A, Ross, C, Royon, P, Rubinov, R, Ruchti, G, Ruggiero, H, Saarikko, G, Sajot, V D, Samoylenko, A, Sánchez-Hernández, M P, Sanders, A, Santoro, A S, Santos, G, Savage, M, Savitskyi, L, Sawyer, T, Scanlon, R D, Schamberger, Y, Scheglov, H, Schellman, M, Schott, C, Schwanenberger, R, Schwienhorst, A, Scribano, J, Sekaric, H, Severini, E, Shabalina, V, Shary, S, Shaw, A A, Shchukin, O, Shkola, V, Simak, J, Siroky, P, Skubic, P, Slattery, J, Smajek, W, Snoeys, G R, Snow, J, Snow, S, Snyder, S, Söldner-Rembold, L, Sonnenschein, K, Soustruznik, J, Stark, N, Stefaniuk, R, Stefanovitch, A, Ster, D A, Stoyanova, M, Strauss, L, Suter, P, Svoisky, I, Szanyi, J, Sziklai, C, Taylor, E, Tcherniaev, M, Titov, V V, Tokmenin, Y-T, Tsai, D, Tsybychev, B, Tuchming, C, Tully, N, Turini, O, Urban, L, Uvarov, S, Uvarov, S, Uzunyan, V, Vacek, R, Van Kooten, W M, van Leeuwen, N, Varelas, E W, Varnes, I A, Vasilyev, O, Vavroch, A Y, Verkheev, L S, Vertogradov, M, Verzocchi, M, Vesterinen, D, Vilanova, P, Vokac, H D, Wahl, C, Wang, M H L S, Wang, J, Warchol, G, Watts, M, Wayne, J, Weichert, J, Welti, L, Welty-Rieger, J, Williams, M R J, Williams, G W, Wilson, M, Wobisch, D R, Wood, T R, Wyatt, Y, Xie, R, Yamada, S, Yang, T, Yasuda, Y A, Yatsunenko, W, Ye, Z, Ye, H, Yin, K, Yip, S W, Youn, J M, Yu, J, Zennamo, T G, Zhao, B, Zhou, J, Zhu, J, Zich, K, Zielinski, M, Zielinski, D, Zieminska, and L, Zivkovic

Abstract

We describe an analysis comparing the pp[over ¯] elastic cross section as measured by the D0 Collaboration at a center-of-mass energy of 1.96 TeV to that in pp collisions as measured by the TOTEM Collaboration at 2.76, 7, 8, and 13 TeV using a model-independent approach. The TOTEM cross sections, extrapolated to a center-of-mass energy of sqrt[s]=1.96 TeV, are compared with the D0 measurement in the region of the diffractive minimum and the second maximum of the pp cross section. The two data sets disagree at the 3.4σ level and thus provide evidence for the t-channel exchange of a colorless, C-odd gluonic compound, also known as the odderon. We combine these results with a TOTEM analysis of the same C-odd exchange based on the total cross section and the ratio of the real to imaginary parts of the forward elastic strong interaction scattering amplitude in pp scattering for which the significance is between 3.4σ and 4.6σ. The combined significance is larger than 5σ and is interpreted as the first observation of the exchange of a colorless, C-odd gluonic compound.

Published
2021

33. Measurement of the anomalous precession frequency of the muon in the Fermilab Muon Experiment

Author

T. Albahri, A. Anastasi, A. Anisenkov, K. Badgley, S. Bae??ler, I. Bailey, V. ???A. Baranov, E. Barlas-Yucel, T. Barrett, A. Basti, F. Bedeschi, M. Berz, M. Bhattacharya, H. ???P. Binney, P. Bloom, J. Bono, E. Bottalico, T. Bowcock, G. Cantatore, R. ???M. Carey, B. ???C. ???K. Casey, D. Cauz, R. Chakraborty, S. ???P. Chang, A. Chapelain, S. Charity, R. Chislett, J. Choi, Z. Chu, T. ???E. Chupp, S. Corrodi, L. Cotrozzi, J. ???D. Crnkovic, S. Dabagov, P. ???T. Debevec, S. Di Falco, P. Di Meo, G. Di Sciascio, R. Di Stefano, A. Driutti, V. ???N. Duginov, M. Eads, J. Esquivel, M. Farooq, R. Fatemi, C. Ferrari, M. Fertl, A. ???T. Fienberg, A. Fioretti, D. Flay, E. Frle??, N. ???S. Froemming, J. Fry, C. Gabbanini, M. ???D. Galati, S. Ganguly, A. Garcia, J. George, L. ???K. Gibbons, A. Gioiosa, K. ???L. Giovanetti, P. Girotti, W. Gohn, T. Gorringe, J. Grange, S. Grant, F. Gray, S. Haciomeroglu, T. Halewood-Leagas, D. Hampai, F. Han, J. Hempstead, A. ???T. Herrod, D. ???W. Hertzog, G. Hesketh, A. Hibbert, Z. Hodge, J. ???L. Holzbauer, K. ???W. Hong, R. Hong, M. Iacovacci, M. Incagli, P. Kammel, M. Kargiantoulakis, M. Karuza, J. Kaspar, D. Kawall, L. Kelton, A. Keshavarzi, D. Kessler, K. ???S. Khaw, Z. Khechadoorian, N. ???V. Khomutov, B. Kiburg, M. Kiburg, O. Kim, Y. ???I. Kim, B. King, N. Kinnaird, E. Kraegeloh, A. Kuchibhotla, N. ???A. Kuchinskiy, K. ???R. Labe, J. LaBounty, M. Lancaster, M. ???J. Lee, S. Lee, S. Leo, B. Li, D. Li, L. Li, I. Logashenko, A. Lorente Campos, A. Luc??, G. Lukicov, A. Lusiani, A. ???L. Lyon, B. MacCoy, R. Madrak, K. Makino, F. Marignetti, S. Mastroianni, J. ???P. Miller, S. Miozzi, W. ???M. Morse, J. Mott, A. Nath, H. Nguyen, R. Osofsky, S. Park, G. Pauletta, G. ???M. Piacentino, R. ???N. Pilato, K. ???T. Pitts, B. Plaster, D. Po??ani??, N. Pohlman, C. ???C. Polly, J. Price, B. Quinn, N. Raha, S. Ramachandran, E. Ramberg, J. ???L. Ritchie, B. ???L. Roberts, D. ???L. Rubin, L. Santi, C. Schlesier, A. Schreckenberger, Y. ???K. Semertzidis, D. Shemyakin, M. ???W. Smith, M. Sorbara, D. St??ckinger, J. Stapleton, C. Stoughton, D. Stratakis, T. Stuttard, H. ???E. Swanson, G. Sweetmore, D. ???A. Sweigart, M. ???J. Syphers, D. ???A. Tarazona, T. Teubner, A. ???E. Tewsley-Booth, K. Thomson, V. Tishchenko, N. ???H. Tran, W. Turner, E. Valetov, D. Vasilkova, G. Venanzoni, T. Walton, A. Weisskopf, L. Welty-Rieger, P. Winter, A. Wolski, W. Wu, Albahri, T., Anastasi, A., Anisenkov, A., Badgley, K., Bae??ler, S., Bailey, I., Baranov, V. ???A., Barlas-Yucel, E., Barrett, T., Basti, A., Bedeschi, F., Berz, M., Bhattacharya, M., Binney, H. ???P., Bloom, P., Bono, J., Bottalico, E., Bowcock, T., Cantatore, G., Carey, R. ???M., Casey, B. ???C. ???K., Cauz, D., Chakraborty, R., Chang, S. ???P., Chapelain, A., Charity, S., Chislett, R., Choi, J., Chu, Z., Chupp, T. ???E., Corrodi, S., Cotrozzi, L., Crnkovic, J. ???D., Dabagov, S., Debevec, P. ???T., Di Falco, S., Di Meo, P., Di Sciascio, G., Di Stefano, R., Driutti, A., Duginov, V. ???N., Eads, M., Esquivel, J., Farooq, M., Fatemi, R., Ferrari, C., Fertl, M., Fienberg, A. ???T., Fioretti, A., Flay, D., Frle??, E., Froemming, N. ???S., Fry, J., Gabbanini, C., Galati, M. ???D., Ganguly, S., Garcia, A., George, J., Gibbons, L. ???K., Gioiosa, A., Giovanetti, K. ???L., Girotti, P., Gohn, W., Gorringe, T., Grange, J., Grant, S., Gray, F., Haciomeroglu, S., Halewood-Leagas, T., Hampai, D., Han, F., Hempstead, J., Herrod, A. ???T., Hertzog, D. ???W., Hesketh, G., Hibbert, A., Hodge, Z., Holzbauer, J. ???L., Hong, K. ???W., Hong, R., Iacovacci, M., Incagli, M., Kammel, P., Kargiantoulakis, M., Karuza, M., Kaspar, J., Kawall, D., Kelton, L., Keshavarzi, A., Kessler, D., Khaw, K. ???S., Khechadoorian, Z., Khomutov, N. ???V., Kiburg, B., Kiburg, M., Kim, O., Kim, Y. ???I., King, B., Kinnaird, N., Kraegeloh, E., Kuchibhotla, A., Kuchinskiy, N. ???A., Labe, K. ???R., Labounty, J., Lancaster, M., Lee, M. ???J., Lee, S., Leo, S., Li, B., Li, D., Li, L., Logashenko, I., Lorente Campos, A., Luc??, A., Lukicov, G., Lusiani, A., Lyon, A. ???L., Maccoy, B., Madrak, R., Makino, K., Marignetti, F., Mastroianni, S., Miller, J. ???P., Miozzi, S., Morse, W. ???M., Mott, J., Nath, A., Nguyen, H., Osofsky, R., Park, S., Pauletta, G., Piacentino, G. ???M., Pilato, R. ???N., Pitts, K. ???T., Plaster, B., Po??ani??, D., Pohlman, N., Polly, C. ???C., Price, J., Quinn, B., Raha, N., Ramachandran, S., Ramberg, E., Ritchie, J. ???L., Roberts, B. ???L., Rubin, D. ???L., Santi, L., Schlesier, C., Schreckenberger, A., Semertzidis, Y. ???K., Shemyakin, D., Smith, M. ???W., Sorbara, M., St??ckinger, D., Stapleton, J., Stoughton, C., Stratakis, D., Stuttard, T., Swanson, H. ???E., Sweetmore, G., Sweigart, D. ???A., Syphers, M. ???J., Tarazona, D. ???A., Teubner, T., Tewsley-Booth, A. ???E., Thomson, K., Tishchenko, V., Tran, N. ???H., Turner, W., Valetov, E., Vasilkova, D., Venanzoni, G., Walton, T., Weisskopf, A., Welty-Rieger, L., Winter, P., Wolski, A., and Wu, W.

Abstract

The Muon g−2 Experiment at Fermi National Accelerator Laboratory (FNAL) has measured the muon anomalous precession frequency ωma to an uncertainty of 434 parts per billion (ppb), statistical, and 56 ppb, systematic, with data collected in four storage ring configurations during its first physics run in 2018. When combined with a precision measurement of the magnetic field of the experiment’s muon storage ring, the precession frequency measurement determines a muon magnetic anomaly of aμ(FNAL)=116592040(54)×10−11 (0.46 ppm). This article describes the multiple techniques employed in the reconstruction, analysis, and fitting of the data to measure the precession frequency. It also presents the averaging of the results from the 11 separate determinations of ωma, and the systematic uncertainties on the result.

Published
2021

34. Magnetic Field Measurement and Analysis for the Muon g-2 Experiment at Fermilab

Author

Z. Chu, M. Eads, M. Lancaster, T. Halewood-Leagas, D. Flay, I. Logashenko, N. A. Kuchinskiy, M. W. Smith, Y. I. Kim, S.B. Dabagov, B. MacCoy, N. H. Tran, K. W. Hong, Liang Li, L. Santi, A. Chapelain, K. S. Khaw, K. T. Pitts, R. Fatemi, I. R. Bailey, E. Bottalico, Andrzej Wolski, R. N. Pilato, P. Bloom, M. Iacovacci, G. Pauletta, M. Incagli, R. Di Stefano, Timothy Chupp, E. Barlas-Yucel, G. Di Sciascio, G. Sweetmore, D. Cauz, P. Girotti, H. Nguyen, Thomas Teubner, D.A. Sweigart, A. E. Tewsley-Booth, G. Piacentino, D. Stöckinger, Karie Badgley, L. Kelton, P. Winter, Brad Plaster, J. L. Holzbauer, R. Chislett, B. Quinn, R. M. Carey, A. Conway, Kyoko Makino, A. Hibbert, B. C. K. Casey, A. Driutti, J. George, A. Lorente Campos, W. Turner, A. Lucà, S. Ramachandran, W. Wu, G. Hesketh, E. Valetov, E. Kraegeloh, Franco Bedeschi, A. Gioiosa, P. T. Debevec, L. Cotrozzi, V. N. Duginov, S. Corrodi, S. Miozzi, Yannis K. Semertzidis, M. J. Lee, S. Mastroianni, P. Di Meo, Martin Berz, K. L. Giovanetti, D. Stratakis, G. Lukicov, C. Gabbanini, J.B. Hempstead, A. Weisskopf, V. Tishchenko, B. Kiburg, H. E. Swanson, O. Kim, Michael Syphers, R. Osofsky, T. Stuttard, J. Esquivel, Dariush Hampai, T. J. V. Bowcock, Adam L. Lyon, Z. Khechadoorian, Meghna Bhattacharya, T. Barrett, Martin Fertl, D. Shemyakin, V. A. Baranov, Manolis Kargiantoulakis, R. Madrak, Marin Karuza, D. Vasilkova, S. Park, N. Kinnaird, A. Lusiani, T. Albahri, E. Ramberg, Nicholas A. Pohlman, D. Kawall, A. Schreckenberger, J. L. Ritchie, A. T. Herrod, Selcuk Haciomeroglu, L. K. Gibbons, J. Stapleton, Fabrizio Marignetti, K. Thomson, J. LaBounty, W. Gohn, G. Venanzoni, B. Li, Claudio Ferrari, Dinko Pocanic, S. P. Chang, S. Charity, T. Walton, T. P. Gorringe, Benjamin T. King, A. Fioretti, A. Anastasi, Sudeshna Ganguly, S. Lee, Ran Hong, M. D. Galati, A.T. Fienberg, William Morse, L. Welty-Rieger, Alejandro Garcia, J. Grange, J. Choi, Dongdong Li, D. W. Hertzog, A. Keshavarzi, M. Sorbara, F. Han, J. Bono, J. Mott, P. Kammel, C. Schlesier, Giovanni Cantatore, S. Di Falco, R. Chakraborty, C. C. Polly, J. P. Miller, M. Kiburg, J. Kaspar, David Rubin, S. Baeßler, K. R. Labe, N. S. Froemming, H. P. Binney, B. L. Roberts, S. Grant, J. Price, N. Raha, Z. Hodge, N. V. Khomutov, M. Farooq, Jason Crnkovic, D. A. Tarazona, C. Stoughton, A. Nath, Frederick Gray, David Kessler, Albahri, T., Anastasi, A., Badgley, K., Baessler, S., Bailey, I., Baranov, V. A., Barlas-Yucel, E., Barrett, T., Bedeschi, F., Berz, M., Bhattacharya, M., Binney, H. P., Bloom, P., Bono, J., Bottalico, E., Bowcock, T., Cantatore, G., Carey, R. M., Casey, B. C. K., Cauz, D., Chakraborty, R., Chang, S. P., Chapelain, A., Charity, S., Chislett, R., Choi, J., Chu, Z., Chupp, T. E., Conway, A., Corrodi, S., Cotrozzi, L., Crnkovic, J. D., Dabagov, S., Debevec, P. T., Di Falco, S., Di Meo, P., Di Sciascio, G., Di Stefano, R., Driutti, A., Duginov, V. N., Eads, M., Esquivel, J., Farooq, M., Fatemi, R., Ferrari, C., Fertl, M., Fienberg, A. T., Fioretti, A., Flay, D., Froemming, N. S., Gabbanini, C., Galati, M. D., Ganguly, S., Garcia, A., George, J., Gibbons, L. K., Gioiosa, A., Giovanetti, K. L., Girotti, P., Gohn, W., Gorringe, T., Grange, J., Grant, S., Gray, F., Haciomeroglu, S., Halewood-Leagas, T., Hampai, D., Han, F., Hempstead, J., Herrod, A. T., Hertzog, D. W., Hesketh, G., Hibbert, A., Hodge, Z., Holzbauer, J. L., Hong, K. W., Hong, R., Iacovacci, M., Incagli, M., Kammel, P., Kargiantoulakis, M., Karuza, M., Kaspar, J., Kawall, D., Kelton, L., Keshavarzi, A., Kessler, D., Khaw, K. S., Khechadoorian, Z., Khomutov, N. V., Kiburg, B., Kiburg, M., Kim, O., Kim, Y. I., King, B., Kinnaird, N., Kraegeloh, E., Kuchinskiy, N. A., Labe, K. R., Labounty, J., Lancaster, M., Lee, M. J., Lee, S., Li, B., Li, D., Li, L., Logashenko, I., Lorente Campos, A., Luca, A., Lukicov, G., Lusiani, A., Lyon, A. L., Maccoy, B., Madrak, R., Makino, K., Marignetti, F., Mastroianni, S., Miller, J. P., Miozzi, S., Morse, W. M., Mott, J., Nath, A., Nguyen, H., Osofsky, R., Park, S., Pauletta, G., Piacentino, G. M., Pilato, R. N., Pitts, K. T., Plaster, B., Pocanic, D., Pohlman, N., Polly, C. C., Price, J., Quinn, B., Raha, N., Ramachandran, S., Ramberg, E., Ritchie, J. L., Roberts, B. L., Rubin, D. L., Santi, L., Schlesier, C., Schreckenberger, A., Semertzidis, Y. K., Shemyakin, D., Smith, M. W., Sorbara, M., Stockinger, D., Stapleton, J., Stoughton, C., Stratakis, D., Stuttard, T., Swanson, H. E., Sweetmore, G., Sweigart, D. A., Syphers, M. J., Tarazona, D. A., Teubner, T., Tewsley-Booth, A. E., Thomson, K., Tishchenko, V., Tran, N. H., Turner, W., Valetov, E., Vasilkova, D., Venanzoni, G., Walton, T., Weisskopf, A., Welty-Rieger, L., Winter, P., Wolski, A., Wu, W., Baeßler, S., Lucà, A., Počanić, D., and Stöckinger, D.

Subjects
Field (physics), Physics::Instrumentation and Detectors, FOS: Physical sciences, 7. Clean energy, 01 natural sciences, Omega, High Energy Physics - Experiment, 010305 fluids & plasmas, Nuclear physics, High Energy Physics - Experiment (hep-ex), muon, 0103 physical sciences, Proton spin crisis, Fermilab, Nuclear Experiment (nucl-ex), 010306 general physics, Nuclear Experiment, Larmor precession, Physics, Muon, Settore FIS/01 - Fisica Sperimentale, VACUUM POLARIZATION CONTRIBUTIONSTEMPERATURE-DEPENDENCEPROTON NMRMOMENTSUSCEPTIBILITYTERMS, anomalous magnetic moment, Muon g-2 Experiment, anomalous precession frequency, Magnetic field, anomalous precession frequency, Muon g-2 Experiment, Fermi Gamma-ray Space Telescope
Abstract

The Fermi National Accelerator Laboratory has measured the anomalous precession frequency $a^{}_\mu = (g^{}_\mu-2)/2$ of the muon to a combined precision of 0.46 parts per million with data collected during its first physics run in 2018. This paper documents the measurement of the magnetic field in the muon storage ring. The magnetic field is monitored by nuclear magnetic resonance systems and calibrated in terms of the equivalent proton spin precession frequency in a spherical water sample at 34.7$^\circ$C. The measured field is weighted by the muon distribution resulting in $\tilde{\omega}'^{}_p$, the denominator in the ratio $\omega^{}_a$/$\tilde{\omega}'^{}_p$ that together with known fundamental constants yields $a^{}_\mu$. The reported uncertainty on $\tilde{\omega}'^{}_p$ for the Run-1 data set is 114 ppb consisting of uncertainty contributions from frequency extraction, calibration, mapping, tracking, and averaging of 56 ppb, and contributions from fast transient fields of 99 ppb., Comment: Added one citation and corrected missing normalization in Eqs (35) and (36)

Published
2021
Full Text
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35. Beam dynamics corrections to the Run-1 measurement of the muon anomalous magnetic moment at Fermilab

Author

K. S. Khaw, C. Schlesier, Diktys Stratakis, R. Fatemi, S. Corrodi, D. Newton, K. T. Pitts, R. T. Chislett, L. K. Gibbons, Kyoko Makino, E. Bottalico, A. Gioiosa, J. LaBounty, J. Bono, I. R. Bailey, P. Kammel, D. Kawall, T. J. V. Bowcock, H. P. Binney, W. Turner, A. T. Herrod, S. Miozzi, A. Schreckenberger, E. Valetov, N. H. Tran, K. W. Hong, J. Esquivel, M. Sorbara, Christopher Stoughton, Fabrizio Marignetti, A. Lucà, L. Kelton, M. Eads, D. Stöckinger, T. Barrett, G. Piacentino, J. Mott, S. Baeßler, Bck Casey, Kayleigh Anne Thomson, Giovanni Cantatore, Rachel Osofsky, M. Kiburg, E. Barlas-Yucel, Michael Syphers, C. C. Polly, J. Choi, R. Chakraborty, D. Flay, David Rubin, J. Grange, N. A. Kuchinskiy, M. W. Smith, G. Lukicov, M. Iacovacci, G. Pauletta, J. L. Ritchie, B. MacCoy, L. Cotrozzi, V. N. Duginov, A. Lorente Campos, S. Lee, Ran Hong, G. Sweetmore, D.A. Sweigart, M. Korostelev, Dongdong Li, D. W. Hertzog, Alexander Keshavarzi, G. Di Sciascio, Alejandro L. Garcia, Liang Li, F. Han, D. Sathyan, A.T. Fienberg, Sultan B. Dabagov, M. J. Lee, S. P. Chang, Benjamin T. King, Marin Karuza, R. N. Pilato, M. Incagli, J.B. Hempstead, B. Quinn, L. Santi, N. Kinnaird, F. Gray, P. Winter, L. Welty-Rieger, Meghna Bhattacharya, H. Nguyen, P. Di Meo, T. Stuttard, A. L. Lyon, David Kessler, A. Chapelain, J. Kaspar, B. Li, Galati, Sudeshna Ganguly, Andrzej Wolski, A. Driutti, D. A. Tarazona, Brad Plaster, R. M. Carey, D. Cauz, G. Venanzoni, J. Fry, B. Kiburg, J. P. Miller, W. Gohn, B. L. Roberts, S. Grant, V. A. Baranov, Nicholas A. Pohlman, N. V. Khomutov, M. Farooq, Jason Crnkovic, A. Hibbert, K. R. Labe, P. T. Debevec, Thomas Teubner, S. Di Falco, J. D. Price, Yi Kim, I.B. Logashenko, Yannis K. Semertzidis, K. L. Giovanetti, A. E. Tewsley-Booth, E. Frlež, Martin Berz, S. Charity, T. Walton, Z. Khechadoorian, S. Ramachandran, A. Fiedler, T. P. Gorringe, William Morse, A. Fioretti, A. Anastasi, O. Kim, A. Weisskopf, Wanwei Wu, Karie Badgley, S. Mastroianni, J. L. Holzbauer, Manolis Kargiantoulakis, S. Park, A. Lusiani, T. Albahri, R. Madrak, Selcuk Haciomeroglu, Z. Chu, Dariush Hampai, Gavin Grant Hesketh, J. George, Tishchenko, D. Vasilkova, Franco Bedeschi, P. Bloom, Timothy Chupp, P. Girotti, Nathan Froemming, J. Stapleton, Dinko Pocanic, M. Lancaster, C. Gabbanini, N. Raha, H. E. Swanson, Martin Fertl, Z. Hodge, Tabitha Halewood-leagas, E. J. Ramberg, A. Nath, R. Di Stefano, E. Kraegeloh, Claudio Ferrari, Albahri, T., Anastasi, A., Badgley, K., Baessler, S., Bailey, I., Baranov, V. A., Barlas-Yucel, E., Barrett, T., Bedeschi, F., Berz, M., Bhattacharya, M., Binney, H. P., Bloom, P., Bono, J., Bottalico, E., Bowcock, T., Cantatore, G., Carey, R. M., Casey, B. C. K., Cauz, D., Chakraborty, R., Chang, S. P., Chapelain, A., Charity, S., Chislett, R., Choi, J., Chu, Z., Chupp, T. E., Corrodi, S., Cotrozzi, L., Crnkovic, J. D., Dabagov, S., Debevec, P. T., Di Falco, S., Di Meo, P., Di Sciascio, G., Di Stefano, R., Driutti, A., Duginov, V. N., Eads, M., Esquivel, J., Farooq, M., Fatemi, R., Ferrari, C., Fertl, M., Fiedler, A., Fienberg, A. T., Fioretti, A., Flay, D., Frlez, E., Froemming, N. S., Fry, J., Gabbanini, C., Galati, M. D., Ganguly, S., Garcia, A., George, J., Gibbons, L. K., Gioiosa, A., Giovanetti, K. L., Girotti, P., Gohn, W., Gorringe, T., Grange, J., Grant, S., Gray, F., Haciomeroglu, S., Halewood-Leagas, T., Hampai, D., Han, F., Hempstead, J., Herrod, A. T., Hertzog, D. W., Hesketh, G., Hibbert, A., Hodge, Z., Holzbauer, J. L., Hong, K. W., Hong, R., Iacovacci, M., Incagli, M., Kammel, P., Kargiantoulakis, M., Karuza, M., Kaspar, J., Kawall, D., Kelton, L., Keshavarzi, A., Kessler, D., Khaw, K. S., Khechadoorian, Z., Khomutov, N. V., Kiburg, B., Kiburg, M., Kim, O., Kim, Y. I., King, B., Kinnaird, N., Korostelev, M., Kraegeloh, E., Kuchinskiy, N. A., Labe, K. R., Labounty, J., Lancaster, M., Lee, M. J., Lee, S., Li, B., Li, D., Li, L., Logashenko, I., Lorente Campos, A., Luca, A., Lukicov, G., Lusiani, A., Lyon, A. L., Maccoy, B., Madrak, R., Makino, K., Marignetti, F., Mastroianni, S., Miller, J. P., Miozzi, S., Morse, W. M., Mott, J., Nath, A., Newton, D., Nguyen, H., Osofsky, R., Park, S., Pauletta, G., Piacentino, G. M., Pilato, R. N., Pitts, K. T., Plaster, B., Pocanic, D., Pohlman, N., Polly, C. C., Price, J., Quinn, B., Raha, N., Ramachandran, S., Ramberg, E., Ritchie, J. L., Roberts, B. L., Rubin, D. L., Santi, L., Sathyan, D., Schlesier, C., Schreckenberger, A., Semertzidis, Y. K., Smith, M. W., Sorbara, M., Stockinger, D., Stapleton, J., Stoughton, C., Stratakis, D., Stuttard, T., Swanson, H. E., Sweetmore, G., Sweigart, D. A., Syphers, M. J., Tarazona, D. A., Teubner, T., Tewsley-Booth, A. E., Thomson, K., Tishchenko, V., Tran, N. H., Turner, W., Valetov, E., Vasilkova, D., Venanzoni, G., Walton, T., Weisskopf, A., Welty-Rieger, L., Winter, P., Wolski, A., and Wu, W.

Subjects
Larmor precession, Physics, Accelerator Physics (physics.acc-ph), Nuclear and High Energy Physics, Muon, Physics and Astronomy (miscellaneous), Anomalous magnetic dipole moment, 010308 nuclear & particles physics, FOS: Physical sciences, Surfaces and Interfaces, 01 natural sciences, High Energy Physics - Experiment, Magnetic field, Nuclear physics, High Energy Physics - Experiment (hep-ex), muon magnetic anomaly, 0103 physical sciences, Physics - Accelerator Physics, Fermilab, Pitch angle, 010306 general physics, G-2 EXPERIMENTFREQUENCY, Storage ring, Beam (structure)
Abstract

This paper presents the beam dynamics systematic corrections and their uncertainties for the Run-1 data set of the Fermilab Muon g-2 Experiment. Two corrections to the measured muon precession frequency $\omega_a^m$ are associated with well-known effects owing to the use of electrostatic quadrupole (ESQ) vertical focusing in the storage ring. An average vertically oriented motional magnetic field is felt by relativistic muons passing transversely through the radial electric field components created by the ESQ system. The correction depends on the stored momentum distribution and the tunes of the ring, which has relatively weak vertical focusing. Vertical betatron motions imply that the muons do not orbit the ring in a plane exactly orthogonal to the vertical magnetic field direction. A correction is necessary to account for an average pitch angle associated with their trajectories. A third small correction is necessary because muons that escape the ring during the storage time are slightly biased in initial spin phase compared to the parent distribution. Finally, because two high-voltage resistors in the ESQ network had longer than designed RC time constants, the vertical and horizontal centroids and envelopes of the stored muon beam drifted slightly, but coherently, during each storage ring fill. This led to the discovery of an important phase-acceptance relationship that requires a correction. The sum of the corrections to $\omega_a^m$ is 0.50 $\pm$ 0.09 ppm; the uncertainty is small compared to the 0.43 ppm statistical precision of $\omega_a^m$., Comment: 35 pages, 29 figures. Accepted by Phys. Rev. Accel. Beams

Published
2021
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36. Phosphoproteomic response of cardiac endothelial cells to ischemia and ultrasound

Author

Igor V. Dykan, Nabil J. Alkayed, Sanjiv Kaul, Catherine M. Davis, Azzdine Y. Ammi, Anthony P. Barnes, Jon M. Jacobs, David Giraud, Kristin L. Lyon Scott, Uchenna Emechebe, and Jason E. McDermott

Subjects
0301 basic medicine, Male, Proteomics, Cell type, Cell signaling, Proteome, medicine.medical_treatment, Ultrasonic Therapy, Primary Cell Culture, Biophysics, Ischemia, Myocardial Ischemia, 030204 cardiovascular system & hematology, Biochemistry, Article, Analytical Chemistry, 03 medical and health sciences, Mice, 0302 clinical medicine, Tandem Mass Spectrometry, medicine, Animals, Amino Acid Sequence, Phosphorylation, Molecular Biology, Therapeutic ultrasound, business.industry, Phosphoproteomics, Endothelial Cells, Heart, medicine.disease, Phosphoproteins, Cell biology, Endothelial stem cell, Mice, Inbred C57BL, 030104 developmental biology, business, Chromatography, Liquid, Endocardium, Signal Transduction
Abstract

Myocardial infarction and subsequent therapeutic interventions activate numerous intracellular cascades in every constituent cell type of the heart. Endothelial cells produce several protective compounds in response to therapeutic ultrasound, under both normoxic and ischemic conditions. How endothelial cells sense ultrasound and convert it to a beneficial biological response is not known. We adopted a global, unbiased phosphoproteomics approach aimed at understanding how endothelial cells respond to ultrasound. Here, we use primary cardiac endothelial cells to explore the cellular signaling events underlying the response to ischemia-like cellular injury and ultrasound exposure in vitro. Enriched phosphopeptides were analyzed with a high mass accuracy liquid chromatrography (LC) - tandem mass spectrometry (MS/MS) proteomic platform, yielding multiple alterations in both total protein levels and phosphorylation events in response to ischemic injury and ultrasound. Application of pathway algorithms reveals numerous protein networks recruited in response to ultrasound including those regulating RNA splicing, cell-cell interactions and cytoskeletal organization. Our dataset also permits the informatic prediction of potential kinases responsible for the modifications detected. Taken together, our findings begin to reveal the endothelial proteomic response to ultrasound and suggest potential targets for future studies of the protective effects of ultrasound in the ischemic heart.

Published
2020

37. Structure Activity Relationship Approach toward the Improved Separation of Rare-Earth Elements Using Diglycolamides

Author

Bruce A. Moyer, Vyacheslav S. Bryantsev, Camille Albisser, Diana Stamberga, Benjamin Reinhart, Alena Paulenova, Santa Jansone-Popova, Yana Karslyan, Kevin L. Lyon, Mac Foster, Mary R. Healy, and Ilja Popovs

Subjects
Steric effects, Lanthanide, biology, Chemistry, Hydrochloric acid, Branching (polymer chemistry), biology.organism_classification, Inorganic Chemistry, chemistry.chemical_compound, Electronic effect, Structure–activity relationship, Physical chemistry, Tetra, Physical and Theoretical Chemistry, Selectivity
Abstract

The separation of adjacent lanthanides continues to be a challenge worldwide because of the similar physical and chemical properties of these elements and a necessity to advance the use of clean-energy applications. Herein, a systematic structure-performance relationship approach toward understanding the effect of N-alkyl group characteristics in diglycolamides (DGAs) on the separation of lanthanides(III) from a hydrochloric acid medium is presented. In addition to the three most extensively studied DGA complexants [N,N,N',N'-tetra(n-octyl)diglycolamide, TODGA; N,N,N',N'-tetra(2-ethylhexyl)diglycolamide, TEHDGA; N,N'-dimethyl-N,N'-di(n-octyl)diglycolamide, DMDODGA], 12 new extracting agents with varying substitution patterns were designed to study the interplay of steric and electronic effects that control rare-earth element extraction. Subtle changes in the structure around diglycolamide carbonyl oxygen atoms result in dramatic shifts in the lanthanide extraction strength and selectivity. The effects of the chain length and branching position of N-alkyl substituents in DGAs are elaborated on with the use of experimental, computational, and solution-structure characterization techniques.

Published
2020

38. Patients Older 65 Years With Early Breast Cancer Prefer Intraoperative Radiation as a Locoregional Treatment Choice

Author

Annie, Tang, Caitlin M, Cohan, Genna, Beattie, Elizabeth L, Cureton, Jonathan D, Svahn, Liisa L, Lyon, Jason F, Kelly, and Veronica C, Shim

Subjects
Intraoperative Care, Humans, Breast Neoplasms, Female, Radiotherapy, Adjuvant, Middle Aged, Neoplasm Recurrence, Local, Mastectomy, Segmental, Mastectomy, Aged
Abstract

Patients 65 years old or older with early endocrine-responsive breast cancer have many treatment options, including no radiation. This study aimed to evaluate treatment preference when intraoperative radiation therapy (IORT) is offered in this population.The study reviewed patients 65 years old or older with a diagnosis of early-stage endocrine-responsive breast cancer in 2016-2019 at a single hospital in a large integrated health care system. Electronic medical records of multidisciplinary breast tumor board discussion, treatment options documented by the treatment team, and final treatment offered were reviewed. Variables including age at biopsy, language, endocrine treatment, and comorbidities were collected. Regression analysis was used to evaluate for variables associated with patients' choice regarding radiation treatment.The institutional IORT guidelines were met by 63 patients in the described age group who had a documented offer of all radiation treatment options. The median age of the patients was 70 years (interquartile range 63-77 years). Overall, 74.6% of the patients chose IORT, and 14.3% opted for whole-breast irradiation. Only 4.8% chose to omit radiation after breast-conserving surgery, and 6.3% chose mastectomy. The patients who chose IORT were more likely to receive endocrine treatment (odds ratio 3.70; p = 0.03). Age, race, language, and comorbidities were not associated with preference for IORT (p 0.05).Patients 65 years old or older with early-stage endocrine-responsive breast cancer preferred to have IORT despite counsel about the lack of survival benefit. This study suggests that local cancer control with the convenient radiation delivery method is important to the described patient population.

Published
2020

43. New and Enhanced Tools for Civil Military Operations (NET-CMO)

Author

S. Bruce. Blundell, Sarah J. Becker, Nicole M. Wayant, Susan L. Lyon, Joshua Parker, Robin E. Lopez, Sean P. Griffin, Megan C. Maloney, and John A. Nedza

Subjects
Geographic information system, Geospatial analysis, Database, business.industry, Computer science, Net (mathematics), business, computer.software_genre, computer
Published
2020

45. Book reviews

Author

Austin, Daniel F., Gomez-Beloz, Alfredo, Whitehead, William T., Pemberton, Robert W., Klock, John, Jain, S. K., Goel, Anil K., Bonhage-Freund, Mary Theresa, Rivera, Diego, Obón, Concepción, Brendler, Thomas, Landrum, Leslie R., Bussmann, Rainer W., Arboretum, Harold L. Lyon, Pearsall, Deborah M., Eubanks, Mary W., and Felger, Richard

Published
2006
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46. Ranolazine may exert its beneficial effects by increasing myocardial adenosine levels

Author

D. Elizabeth Le, Zhiping Cao, Sanjiv Kaul, Lijuan Liu, Kevin Wei, Catherine M. Davis, Shanthi Nagarajan, Matthew Nugent, Yan Zhao, Kristin L. Lyon Scott, and Nabil J. Alkayed

Subjects
0301 basic medicine, Drug, Male, medicine.medical_specialty, Adenosine, Physiology, Protein Conformation, media_common.quotation_subject, Ranolazine, Disease, 030204 cardiovascular system & hematology, Ventricular Function, Left, Angina, 03 medical and health sciences, Structure-Activity Relationship, 0302 clinical medicine, Dogs, Physiology (medical), Internal medicine, medicine, Animals, In patient, Myocytes, Cardiac, Beneficial effects, 5'-Nucleotidase, Cells, Cultured, media_common, Binding Sites, Mechanism (biology), business.industry, Coronary Stenosis, Hemodynamics, Cardiovascular Agents, medicine.disease, Up-Regulation, Mice, Inbred C57BL, Molecular Docking Simulation, Disease Models, Animal, 030104 developmental biology, Cardiology, Cardiology and Cardiovascular Medicine, business, medicine.drug, Research Article, Protein Binding
Abstract

We hypothesized that ranolazine-induced adenosine release is responsible for its beneficial effects in ischemic heart disease. Sixteen open-chest anesthetized dogs with noncritical coronary stenosis were studied at rest, during dobutamine stress, and during dobutamine stress with ranolazine. Six additional dogs without stenosis were studied only at rest. Regional myocardial function and perfusion were assessed. Coronary venous blood was drawn. Murine endothelial cells and cardiomyocytes were incubated with ranolazine and adenosine metabolic enzyme inhibitors, and adenosine levels were measured. Cardiomyocytes were also exposed to dobutamine and dobutamine with ranolazine. Modeling was employed to determine whether ranolazine can bind to an enzyme that alters adenosine stores. Ranolazine was associated with increased adenosine levels in the absence (21.7 ± 3.0 vs. 9.4 ± 2.1 ng/mL, P < 0.05) and presence of ischemia (43.1 ± 13.2 vs. 23.4 ± 5.3 ng/mL, P < 0.05). Left ventricular end-systolic wall stress decreased (49.85 ± 4.68 vs. 57.42 ± 3.73 dyn/cm2, P < 0.05) and endocardial-to-epicardial myocardial blood flow ratio tended to normalize (0.89 ± 0.08 vs. 0.76 ± 0.10, P = nonsignificant). Adenosine levels increased in cardiac endothelial cells and cardiomyocytes when incubated with ranolazine that was reversed when cytosolic-5′-nucleotidase (cN-II) was inhibited. Point mutation of cN-II aborted an increase in its specific activity by ranolazine. Similarly, adenosine levels did not increase when cardiomyocytes were incubated with dobutamine. Modeling demonstrated plausible binding of ranolazine to cN-II with a docking energy of −11.7 kcal/mol. We conclude that the anti-adrenergic and cardioprotective effects of ranolazine-induced increase in tissue adenosine levels, likely mediated by increasing cN-II activity, may contribute to its beneficial effects in ischemic heart disease. NEW & NOTEWORTHY Ranolazine is a drug used for treatment of angina pectoris in patients with ischemic heart disease. We discovered a novel mechanism by which this drug may exhibit its beneficial effects. It increases coronary venous levels of adenosine both at rest and during dobutamine-induced myocardial ischemia. Ranolazine also increases adenosine levels in endothelial cells and cardiomyocytes in vitro, by principally increasing activity of the enzyme cytosolic-5′-nucleotidase. Adenosine has well-known myocardial protective and anti-adrenergic properties that may explain, in part, ranolazine’s beneficial effect in ischemic heart disease.

Published
2019

47. Combined Forward-Backward Asymmetry Measurements in Top-Antitop Quark Production at the Tevatron

Author

M. Franklin, Gavin Davies, Lorenzo Santi, Y. Scheglov, A. Ruiz, K. Yi, Ping-Kun Teng, Jan Stark, S. Carrillo, Martin Grunewald, Milos Lokajicek, Darien Wood, S. Blessing, P. F. Ding, Scott Snyder, Jonathan Wilson, M. Herndon, Cecilia Elena Gerber, Luigi Marchese, Cecile Deterre, M. Lancaster, Tiehui Ted Liu, Prabhakar Palni, R. St. Denis, A. Fauré, Nikos Varelas, Sally Seidel, C. L. McGivern, Bing Zhou, P. Barria, D. A. Stoyanova, G. Piacentino, L. Brigliadori, Sergey Burdin, Chen Zhou, S. Bhatia, C. Royon, G. Ginther, M. H.L.S. Wang, Taegil Bae, M. C. Cousinou, Pierfrancesco Butti, Y. Seiya, G. Gomez, Christoph Paus, M. Cooke, S. Cihangir, Robert Hirosky, I. Howley, Fumihiko Ukegawa, Kristian Harder, A. Anastassov, Don Lincoln, Erich Varnes, Y. N. Kharzheev, Suyong Choi, P. H. Garbincius, A. Das, P. Svoisky, L. Oakes, S. Fuess, L. Pondrom, Jianming Qian, B. Kilminster, B. Casal, Pietro Marino, Giorgio Bellettini, R. Wallny, Hui Li, M. J. Shochet, Ron Lipton, Y. Sakurai, Virgil E Barnes, John Christian Freeman, K. Devaughan, Andreas Werner Jung, F. Ptohos, A. Elagin, Peter Wagner, Gueorgui Velev, Elliot Lipeles, K. Potamianos, DongHee Kim, S. Rolli, A. Di Canto, Marcelo Vogel, Hugh Williams, M. Iori, Robert Kehoe, Graham Wilson, Massimo Casarsa, W. H. Hopkins, Jongmin Lee, Lidija Zivkovic, Y. D. Oh, A. Kumar, Howard Scott Budd, Christopher Clarke, W. Ketchum, Philip Baringer, Hyun-Chul Kim, T. Kurca, A. Evdokimov, J. Kraus, Matthias Schott, K. Herner, J. Budagov, V. Gavrilov, S. Banerjee, T. Wright, Matthew T Jones, Aliaksandr Pranko, Gordon Watts, Romain Madar, D. Jang, N. Moggi, B. Di Ruzza, Ashutosh Kotwal, N. K. Mondal, Ting Miao, D. Boline, H. T. Diehl, M. Vesterinen, Jieun Kim, Andrew Askew, S. W. Lee, M. M. Deninno, Markus Wobisch, G. Latino, J. Zennamo, A. Dubey, Michael Mulhearn, A. Loginov, L. Feng, G. Golovanov, T. Kamon, Jay Dittmann, S. Amerio, T. Kuhr, A. Simonenko, L. S. Vertogradov, W. Geng, P. Lukens, Boris Tuchming, V. Glagolev, D. Stentz, A. S. Ito, T. Aaltonen, B. Hoeneisen, D. J. Cox, Q. Liu, D. Cruz, C. Bromberg, J. Clutter, Maxim Perfilov, R. McNulty, M. Hare, A. Drutskoy, J. K. Lim, A. Lucà, K. Pitts, Y. T. Tsai, C. Pagliarone, A. Boehnlein, Mark Raymond Adams, D. Karmanov, H. Hegab, V. Parihar, E. De La Cruz-Burelo, Stefano Giagu, John Hobbs, M. Hohlfeld, Antonio Boveia, Gregorio Bernardi, B. Carls, V. Sorin, A. Mazzacane, A. V. Popov, R. D. Schamberger, J. T. Linnemann, U. K. Yang, J. Nachtman, A. S. Santos, E. Brucken, Phillip Gutierrez, Frederic Deliot, G. P. Yeh, Douglas Benjamin, C. S. Moon, D. Menezes, Stanislav Tokár, Kohei Yorita, D. Glenzinski, Hal Evans, T. Head, D.P. Brown, Seo-Young Noh, P. Mazzanti, J. R. Smith, G. B. Yu, J. Ellison, Emanuela Barberis, Yuji Enari, K. Soustruznik, Elemer Nagy, S. Y. Jun, G. Savage, T. G. Zhao, W. Ye, V. Aushev, J. Conway, Thomas Ferbel, M. Prewitt, Nazar Stefaniuk, Yuji Takeuchi, J. Weichert, Song-Ming Wang, Y. Aushev, G. Grenier, F. Miconi, E. Kajfasz, A. P. Heinson, J. Boudreau, Jose Andres Garcia-Gonzalez, Kazuhiro Yamamoto, M. Savitskyi, Andrew Brandt, L. Bellantoni, A. Ivanov, S. Dutt, S. Caughron, C. Galloni, J. Nett, J. Warchol, J. Konigsberg, A. Kasmi, Pavol Bartos, L. Bagby, Oleg Brandt, Bjoern Penning, Franco Rimondi, Maria Rescigno, H. E. Fisk, D. Lucchesi, W. Ashmanskas, Sudhir Malik, L. Ristori, Ia Iashvili, Adrian Buzatu, J. Keung, G. C. Blazey, D. Torretta, L. Nodulman, A. Sukhanov, Andrew Beretvas, Brajesh C Choudhary, V. V. Lipaev, J. Lellouch, M. A. Pleier, A. Alton, T. Nigmanov, A. Mukherjee, R. Forrest, Giovanni Busetto, Y. Sudo, I. Suslov, Maxim Goncharov, Kunitaka Kondo, Richard D Field, V. E. Bazterra, N. Khalatyan, R. Ruchti, Thibault Guillemin, P. D. Grannis, P. Jiang, R. Yamada, P. Mehtala, Sandra Leone, P. Totaro, I. Ripp-Baudot, Hao Song, L. Scodellaro, J. Orduna, T. Yoshida, Manfredi Ronzani, Sinead Farrington, Andrea Bocci, D. Li, V. L. Malyshev, A. Y. Verkheev, Jeffrey A. Appel, S. Lammel, Giovanni Punzi, O. Norniella, Manfred Paulini, Manuela Campanelli, V. A. Kuzmin, H. Wolfmeister, Fabrice Couderc, F. Badaud, F. Happacher, B. Baldin, N. d’Ascenzo, M. Borysova, Sung Keun Park, Guillelmo Gomez-Ceballos, M. Titov, Christopher George Tully, Aran Garcia-Bellido, K. Hatakeyama, Young-Jin Kim, R. Illingworth, D. Mietlicki, Mitchell Wayne, H. Schellman, S. Torre, J. M. Kohli, L. Ortolan, D. Cauz, W. E. Cooper, A. Jayasinghe, P. Slattery, V. Giakoumopoulou, A. Sánchez-Hernández, S. Poprocki, E. Gramellini, William Wester, Adam Aurisano, S. J. De Jong, C. Hensel, P. Skubic, Joey Huston, P. Wittich, Ziqing Hong, Katsufumi Sato, O. Gogota, B. Jayatilaka, Daniel R Claes, R. Vilar, B. Auerbach, Liang Li, M. Corbo, Jean-Arcady Meyer, Davit Chokheli, J. Y. Han, F. Margaroli, O. Gonzalez Lopez, A. Bhatti, D. Hedin, F. Devoto, S. Leo, M. Mussini, V. Rusu, L. Welty-Rieger, Marc Besancon, Stefan Grünendahl, Elizaveta Shabalina, M. J. Morello, S. R. Hou, P. E. Karchin, A. Chapelain, S. Errede, Eugene E. Schmidt, Emily Johnson, D. Yamato, A. Golossanov, Vaia Papadimitriou, Alessandro Cerri, A. Mitra, Marco Verzocchi, G. Flanagan, J. P. Agnew, Dmitri Tsybychev, P. Lebrun, Yongsun Kim, Lev Dudko, Nikos Giokaris, A. Grohsjean, Y. C. Chen, V. Saveliev, Dmitri Denisov, J. Russ, Stephen R. Hahn, M. Kurata, R. Madrak, M. Buehler, J. Naganoma, L. Sonnenschein, L. Demortier, Chris Hays, Seog Oh, J. Sekaric, Michael A. Strauss, Maxwell Chertok, A. Patwa, H. Gerberich, J. Joshi, J. Martínez-Ortega, Yang Yang, Zdenek Hubacek, E. Palencia, Giorgio Chiarelli, R. E. Hughes, J. Antos, B. A. Barnett, Giorgio Apollinari, Pedro G Mercadante, S. Atkins, G. Pauletta, Adam L. Lyon, J. P. Negret, Victor Daniel Elvira, K. R. Bland, K. Takemasa, V. M. Podstavkov, P. F. Shepard, Arnaud Duperrin, Carlos Avila, K. Lannon, Eric B James, E. J. Jeon, F. Vázquez, D. Waters, Kazuhiko Hara, M. Fortner, A. Chandra, Satoru Uozumi, U. Bassler, S. Kim, Mark Edward Mattson, Alberto Annovi, S. Zucchelli, Ulrich Heintz, S. Söldner-Rembold, M. Eads, Kenneth Johns, J. Vizán, Marcia Begalli, M. Jaffré, C. A. Cox, Joseph Haley, H. Miyake, J. L. Holzbauer, Kihyeon Cho, Yoshikazu Nagai, P. N. Ratoff, Y. Peters, J. Franc, R. Luna-Garcia, Mousumi Datta, J. Lueck, Lucio Cerrito, R. Roser, Frank Filthaut, Regina Demina, Meenakshi Narain, J. Yoh, F. Bedeschi, T. Harrington-Taber, Y. Zeng, N. Prokopenko, M. Kambeitz, Mark Richard James Williams, Michael Hildreth, W. M. Lee, H. Greenlee, Claus P. Buszello, Ph Gris, T. Hoang, Yujiro Funakoshi, M. Diesburg, Darren Price, Hang Yin, A. Bross, R. Magaña-Villalba, G. Chen, J. Snow, A. A. Shchukin, E. Gerchtein, Fedor Prokoshin, H. T. Nguyen, M. Hussein, S. Z. Shalhout, R. Nayyar, S. Uzunyan, V. Bhatnagar, Alexander Kupco, Emilien Chapon, V. Simak, P. de Barbaro, T. Okusawa, T. Scanlon, T. Yang, Guennadi Borissov, J. Strologas, Y. A. Yatsunenko, Arnd Meyer, T. Rodriguez, James Nugent Bellinger, M. Cordelli, S. Kermiche, Anthony Ross, Shabnam Jabeen, Savanna Marie Shaw, Suman Bala Beri, Barry Blumenfeld, B. L. Winer, T. Tomura, Frank Fiedler, J. Asaadi, M. Merkin, Pierluigi Catastini, S. Chakrabarti, I. Katsanos, M. Dorigo, I. Heredia-De La Cruz, E. E. Boos, N. Parua, M. Tecchio, D. Toback, Arnulf Quadt, Alexander Khanov, R. Carosi, Alfred Goshaw, V. Hynek, A. Hocker, R. Bernhard, Amnon Harel, C. Schwanenberger, U. Husemann, Heriberto Castilla-Valdez, W. C. Fisher, W. Parker, M. Kaur, V. V. Tokmenin, G. Alkhazov, Charles Plager, Roman Lysak, S. Donati, K. Matera, D. Amidei, J. M. Yu, Karen Ruth Gibson, Antonio Limosani, P. Rubinov, M. Vidal, D. Vilanova, M. Cremonesi, Q. Z. Li, Lev Uvarov, V. M. Abazov, P. Wilson, Naoki Kimura, Mark Kruse, Alison Lister, I. Kiselevich, Bobby Samir Acharya, H. A. Neal, V. Shary, Daniela Bortoletto, S. Wilbur, C.M. Ginsburg, Pushpalatha C Bhat, Raymond Brock, K. Yip, S. H. Kim, D. V. Bandurin, Raymond Lloyd Culbertson, Jeremy Lys, R. Van Kooten, Neeti Parashar, J. Hogan, A. Juste, K. Petridis, T. Nunnemann, R. Beuselinck, W-M. Yao, Todd Adams, Javier Cuevas, V. Thukral, Jason Dhia Mansour, S. Greder, Iain Alexander Bertram, G. Chlachidze, Yanwen Liu, H. Frisch, A. K.A. Maciel, Lee Sawyer, C. Vellidis, S. Moed, K. Goulianos, Y. Xie, Fabrizio Scuri, J. P. Fernández Ramos, P. Giromini, Michal Kreps, A. Artikov, I. Razumov, M. Zielinski, A. Barbaro-Galtieri, M. D. Corcoran, Gianluca Introzzi, W. Badgett, M. Stancari, Arie Bodek, J. Hays, G. Gutierrez, P. Renton, Evelyn Thomson, V. N. Evdokimov, Th. Müller, M. Rominsky, M. Shimojima, K. Sliwa, P. Neustroev, Sabine Lammers, N. Osman, Liyuan Han, Jakub Cúth, A. Driutti, G. Lungu, R. Jesik, Kyung Kwang Joo, D. Edmunds, R. Lopes De Sá, M. J. Kim, Duncan Carlsmith, Thomas J. Phillips, Andrew Mehta, Zhenyu Ye, Yuri Gershtein, S. Lockwitz, Andrea Castro, A. T. Laasanen, G. D. Alexeev, Flera Rizatdinova, E. Camacho-Pérez, I. Yu, Reinhard Schwienhorst, A. M. Zanetti, Stefano Camarda, Jean-Francois Grivaz, G. Manca, J. Pilot, Arthur Barry Wicklund, Michael S. Gold, Kwok Ming Chan, Yuriy Ilchenko, X. Lei, Daniel Whiteson, Paolo Maestro, Michael H Kirby, A. Jonckheere, A. Semenov, F. Ruffini, A. Lobodenko, M. P. Sanders, B. Esham, M. Brochmann, Aidan Robson, A. Melnitchouk, S. Behari, Daria Zieminska, M. D'Errico, Y. Kato, J. Guimaraes Da Costa, D. Tonelli, A. Napier, T. R. Wyatt, I. V. Gorelov, Zhenbin Wu, R. Erbacher, P. Jonsson, Kamil Augsten, A. Pal, S. W. Youn, Thomas Hebbeker, J. M. Hauptman, A. Kharchilava, Siqi Yang, Elisabetta Pianori, I. Shreyber-Tecker, O. Shkola, Federico Sforza, Brad Abbott, Pierre Petroff, Gregory R Snow, Sergey Denisov, Viviana Cavaliere, G. Sajot, Horst Severini, Hakjae Lee, W. M. Van Leeuwen, Junjie Zhu, Joe Kroll, B. C.K. Casey, S. Wolbers, P. Lujan, Monica D'Onofrio, T. R. Junk, G. Petrillo, J. Tang, Jonathan Lewis, S. Uvarov, Marvin Johnson, Philip Schlabach, M. Trovato, A. V. Kozelov, Jonathan L. Rosner, B. Quinn, C. Mesropian, X. B. Bu, K. Ebina, Alice Bean, Willis Kazuo Sakumoto, Ryan Christopher Edgar, Xin Wu, T. A. Schwarz, C. Grosso-Pilcher, Viacheslav Bunichev, Volker Buescher, Peter Bussey, H. D. Wahl, Florencia Canelli, Matteo Bauce, Tara Shears, D. J. Kong, S. Desai, D. Goldin, Petr Vokac, Kirsten Tollefson, J. Thom, Risto Orava, M. M. Meijer, Kevin Burkett, T. Yasuda, P. Garosi, Aaron Dominguez, Jochen Jens Heinrich, I. Redondo Fernández, H. Liu, F. D. Snider, C. Vernieri, Guido Volpi, Itsuo Nakano, Harald Fox, Aurore Savoy-Navarro, S. W. Cho, A. Manousakis-Katsikakis, Allan G Clark, Roger Moore, F. Azfar, David Cutts, M. E. Convery, T. Arisawa, Alan Garfinkel, James G. Bartlett, L. Suter, S. Jindariani, P. Murat, I. A. Vasilyev, A. Calamba, R. Partridge, Kenneth Bloom, R. McCarthy, M. S. Jeong, Gavin Grant Hesketh, R. F. Harr, Aaltonen, T., Abazov, V. M., Abbott, B., Acharya, B. S., Adams, M., Adams, T., Agnew, J. P., Alexeev, G. 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E., Flanagan, G., Forrest, R., Fortner, M., Fox, H., Franc, J., Franklin, M., Freeman, J. C., Frisch, H., Fuess, S., Funakoshi, Y., Galloni, C., Garbincius, P. H., Garcia-Bellido, A., Garcia-Gonzalez, J. A., Garfinkel, A. F., Garosi, P., Gavrilov, V., Geng, W., Gerber, C. E., Gerberich, H., Gerchtein, E., Gershtein, Y., Giagu, S., Giakoumopoulou, V., Gibson, K., Ginsburg, C. M., Ginther, G., Giokaris, N., Giromini, P., Glagolev, V., Glenzinski, D., Gogota, O., Gold, M., Goldin, D., Golossanov, A., Golovanov, G., Gomez, G., Gomez-Ceballos, G., Goncharov, M., Gonzalez Lopez, O., Gorelov, I., Goshaw, A. T., Goulianos, K., Gramellini, E., Grannis, P. D., Greder, S., Greenlee, H., Grenier, G., Gris, Ph., Grivaz, J. -F., Grohsjean, A., Grosso-Pilcher, C., Grunendahl, S., Grunewald, M. W., Guillemin, T., da Costa, J. Guimarae, Gutierrez, G., Gutierrez, P., Hahn, S. R., Haley, J., Han, J. Y., Han, L., Happacher, F., Hara, K., Harder, K., Hare, M., Harel, A., Harr, R. 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E., Karmanov, D., Kasmi, A., Kato, Y., Katsanos, I., Kaur, M., Kehoe, R., Kermiche, S., Ketchum, W., Keung, J., Khalatyan, N., Khanov, A., Kharchilava, A., Kharzheev, Y. N., Kilminster, B., Kim, D. H., Kim, H. S., Kim, J. E., Kim, M. J., Kim, S. H., Kim, S. B., Kim, Y. J., Kim, Y. K., Kimura, N., Kirby, M., Kiselevich, I., Kohli, J. M., Kondo, K., Kong, D. J., Konigsberg, J., Kotwal, A. V., Kozelov, A. V., Kraus, J., Kreps, M., Kroll, J., Kruse, M., Kuhr, T., Kumar, A., Kupco, A., Kurata, M., Kurca, T., Kuzmin, V. A., Laasanen, A. T., Lammel, S., Lammers, S., Lancaster, M., Lannon, K., Latino, G., Lebrun, P., Lee, H. S., Lee, J. S., Lee, S. W., Lee, W. M., Lei, X., Lellouch, J., Leo, S., Leone, S., Lewis, J. D., Li, D., Li, H., Li, L., Li, Q. Z., Lim, J. K., Limosani, A., Lincoln, D., Linnemann, J., Lipaev, V. V., Lipeles, E., Lipton, R., Lister, A., Liu, H., Liu, Q., Liu, T., Liu, Y., Lobodenko, A., Lockwitz, S., Loginov, A., Lokajicek, M., de Sa, R. 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Y., Norniella, O., Nunnemann, T., Oakes, L., Oh, S. H., Oh, Y. D., Okusawa, T., Orava, R., Orduna, J., Ortolan, L., Osman, N., Pagliarone, C., Pal, A., Palencia, E., Palni, P., Papadimitriou, V., Parashar, N., Parihar, V., Park, S. K., Parker, W., Partridge, R., Parua, N., Patwa, A., Pauletta, G., Paulini, M., Paus, C., Penning, B., Perfilov, M., Peters, Y., Petridis, K., Petrillo, G., Petroff, P., Phillips, T. J., Piacentino, G., Pianori, E., Pilot, J., Pitts, K., Plager, C., Pleier, M. -A., Podstavkov, V. M., Pondrom, L., Popov, A. V., Poprocki, S., Potamianos, K., Pranko, A., Prewitt, M., Price, D., Prokopenko, N., Prokoshin, F., Ptohos, F., Punzi, G., Qian, J., Quadt, A., Quinn, B., Ratoff, P. N., Razumov, I., Redondo Fernandez, I., Renton, P., Rescigno, M., Rimondi, F., Ripp-Baudot, I., Ristori, L., Rizatdinova, F., Robson, A., Rodriguez, T., Rolli, S., Rominsky, M., Ronzani, M., Roser, R., Rosner, J. 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E., Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Laboratoire de Physique de Clermont ( LPC ), Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Université Clermont Auvergne ( UCA ) -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 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 ), Centre de Physique des Particules de Marseille ( CPPM ), Centre National de la Recherche Scientifique ( CNRS ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Aix Marseille Université ( AMU ), Institut Pluridisciplinaire Hubert Curien ( IPHC ), Centre National de la Recherche Scientifique ( CNRS ) -Université de Strasbourg ( UNISTRA ), 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 l'Accélérateur Linéaire ( LAL ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de Physique Subatomique et de Cosmologie ( LPSC ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut polytechnique de Grenoble - Grenoble Institute of Technology ( Grenoble INP ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ), Abazov, V.M., Acharya, B.S., Agnew, J.P., Alexeev, G.D., Appel, J.A., Bandurin, D.V., Barnes, V.E., Barnett, B.A., Bartlett, J.F., Beri, S.B., Besançon, M., Bhat, P.C., Bland, K.R., Boos, E.E., Bu, X.B., Budd, H.S., Buszello, C.P., Camacho-Pérez, E., Casey, B.C.K., Chan, K.M., Chen, Y.C., Cho, S.W., Convery, M.E., Cooper, W.E., Cousinou, M.-C., Cox, C.A., Cox, D.J., De Barbaro, P., De Jong, S.J., Déliot, F., Denisov, S.P., Diehl, H.T., Ding, P.F., Dittmann, J.R., Dudko, L.V., Elvira, V.D., Evdokimov, V.N., Fauré, A., Fernández Ramos, J.P., Fisk, H.E., Freeman, J.C., Garbincius, P.H., García-González, J.A., Garfinkel, A.F., Gerber, C.E., Ginsburg, C.M., González López, O., Goshaw, A.T., Grannis, P.D., Grivaz, J.-F., Grünendahl, S., Grünewald, M.W., Guimaraes Da Costa, J., Hahn, S.R., Han, J.Y., Harr, R.F., Hauptman, J.M., Heinson, A.P., Hildreth, M.D., Hobbs, J.D., Holzbauer, J.L., Hughes, R.E., Ito, A.S., Jaffré, M., Jeon, E.J., Jeong, M.S., Joo, K.K., Jun, S.Y., Jung, A.W., Junk, T.R., Karchin, P.E., Kharzheev, Y.N., Kim, D.H., Kim, H.S., Kim, J.E., Kim, M.J., Kim, S.H., Kim, S.B., Kim, Y.J., Kim, Y.K., Kohli, J.M., Kong, D.J., Kotwal, A.V., Kozelov, A.V., Kurča, T., Kuzmin, V.A., Laasanen, A.T., Lee, H.S., Lee, J.S., Lee, S.W., Lee, W.M., Lewis, J.D., Li, Q.Z., Lim, J.K., Lipaev, V.V., Lopes De Sa, R., Lucà, A., Lyon, A.L., Maciel, A.K.A., Magaña-Villalba, R., Malyshev, V.L., Martínez-Ortega, J., Mattson, M.E., McCarthy, R., McGivern, C.L., McNulty, R., Meijer, M.M., Mercadante, P.G., Mondal, N.K., Moon, C.S., Morello, M.J., Neal, H.A., Negret, J.P., Nguyen, H.T., Noh, S.Y., Oh, S.H., Oh, Y.D., Park, S.K., Pétroff, P., Phillips, T.J., Pleier, M.-A., Podstavkov, V.M., Popov, A.V., Ratoff, P.N., Redondo Fernández, I., Rosner, J.L., Sakumoto, W.K., Sánchez-Hernández, A., Sanders, M.P., Santos, A.S., Schamberger, R.D., Schmidt, E.E., Shalhout, S.Z., Shchukin, A.A., Shepard, P.F., Smith, J.R., Snider, F.D., Snow, G.R., Söldner-Rembold, S., St Denis, R., Stoyanova, D.A., Teng, P.K., Tokmenin, V.V., Tsai, Y.-T., Van Leeuwen, W.M., Varnes, E.W., Vasilyev, I.A., Vázquez, F., Verkheev, A.Y., Vertogradov, L.S., Vizán, J., Wahl, H.D., Wang, M.H.L.S., Wang, S.M., Wester, W.C., Wicklund, A.B., Williams, H.H., Williams, M.R.J., Wilson, G.W., Wilson, J.S., Winer, B.L., Wood, D.R., Wyatt, T.R., Yang, U.K., Yang, Y.C., Yao, W.-M., Yatsunenko, Y.A., Yeh, G.P., Youn, S.W., Yu, G.B., Yu, J.M., Zanetti, A.M., Zhao, T.G., Clark, Allan Geoffrey, Lister, Alison, Wu, Xin, and Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)

Subjects
Top quark, Tevatron, General Physics and Astronomy, pair production [top], 01 natural sciences, 7. Clean energy, High Energy Physics - Experiment, Subatomär fysik, High Energy Physics - Experiment (hep-ex), DZERO, Subatomic Physics, ddc:550, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Quantum Chromodynamics, Batavia TEVATRON Coll, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), media_common, Physics, scattering [anti-p p], Particle properties, 02 Physical Sciences, rapidity: difference, CDF, top-quark, difference [rapidity], asymmetry [angular distribution], kinematics, Physical Sciences, top: pair production, Quark, Particle physics, General Physics, angular distribution: asymmetry, Tevatron Collider, media_common.quotation_subject, Physics, Multidisciplinary, FOS: Physical sciences, Forward backward, ddc:500.2, Hadron-hadron interactions, Asymmetry, Computer Science::Digital Libraries, 114 Physical sciences, Marie curie, CDF Collaboration, anti-p p: colliding beams, Physics and Astronomy (all), [ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex], 0103 physical sciences, anti-p p: scattering, media_common.cataloged_instance, ddc:530, High Energy Physics, European union, 010306 general physics, Science & Technology, 1960 GeV-cms, 010308 nuclear & particles physics, hep-ex, High Energy Physics::Phenomenology, Q007TFB, Research council, Experimental High Energy Physics, High Energy Physics::Experiment, colliding beams [anti-p p], High Energy Physics, Top quark, Hadron-hadron interactions, Quantum Chromodynamics, Particle properties, Tevatron Collider, D0 Collaboration, experimental results
Abstract

The CDF and D0 experiments at the Fermilab Tevatron have measured the asymmetry between yields of forward- and backward-produced top and antitop quarks based on their rapidity difference and the asymmetry between their decay leptons. These measurements use the full data sets collected in proton-antiproton collisions at a center-of-mass energy of √s=1.96 TeV. We report the results of combinations of the inclusive asymmetries and their differential dependencies on relevant kinematic quantities. The combined inclusive asymmetry is At¯tFB=0.128±0.025. The combined inclusive and differential asymmetries are consistent with recent standard model predictions., Physical Review Letters, 120 (4), ISSN:0031-9007, ISSN:1079-7114

Published
2018
Full Text
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48. Three-dimensional microscale flow of polymer coatings on glass during indentation

Author

Lena R. Bartell, M. L. Sorensen, J. R. Matthews, Neil Y. C. Lin, G. S. Glaesemann, M. E. DeRosa, J. L. Lyon, M. J. Lockhart, D. A. Clark, and Itai Cohen

Subjects
Materials science, Direct observation, Modulus, 02 engineering and technology, Slip (materials science), 010402 general chemistry, 021001 nanoscience & nanotechnology, 01 natural sciences, 0104 chemical sciences, Silica nanoparticles, Indentation, Polymer coating, von Mises yield criterion, General Materials Science, Composite material, 0210 nano-technology, Microscale chemistry
Abstract

We present an indentation-scope that interfaces with confocal microscopy, enabling direct observation of the three-dimensional (3D) microstructural response of coatings on substrates. Using this method, we compared microns-thick polymer coatings on glass with and without silica nanoparticle filler. Bulk force data confirmed the >30% modulus difference, while microstructural data further revealed slip at the glass-coating interface. Filled coatings slipped more and about two times faster, as reflected in 3D displacement and von Mises strain fields. Overall, these data indicate that silica-doping of coatings can dramatically alter adhesion. Moreover, this method compliments existing theoretical and modeling approaches for studying indentation in layered systems.

Published
2017

50. Combination of the top-quark mass measurements from the Tevatron collider

Author

T. Aaltonen, V. M. Abazov, B. Abbott, B. S. Acharya, M. Adams, T. Adams, G. D. Alexeev, G. Alkhazov, A. Alton, B. Álvarez González, G. Alverson, S. Amerio, D. Amidei, A. Anastassov, A. Annovi, J. Antos, G. Apollinari, J. A. Appel, T. Arisawa, A. Artikov, J. Asaadi, W. Ashmanskas, A. Askew, S. Atkins, B. Auerbach, K. Augsten, A. Aurisano, C. Avila, F. Azfar, F. Badaud, W. Badgett, T. Bae, L. Bagby, B. Baldin, D. V. Bandurin, S. Banerjee, A. Barbaro-Galtieri, E. Barberis, P. Baringer, V. E. Barnes, B. A. Barnett, P. Barria, J. F. Bartlett, P. Bartos, U. Bassler, M. Bauce, V. Bazterra, A. Bean, F. Bedeschi, M. Begalli, S. Behari, L. Bellantoni, G. Bellettini, J. Bellinger, D. Benjamin, A. Beretvas, S. B. Beri, G. Bernardi, R. Bernhard, I. Bertram, M. Besançon, R. Beuselinck, P. C. Bhat, S. Bhatia, V. Bhatnagar, A. Bhatti, D. Bisello, I. Bizjak, K. R. Bland, G. Blazey, S. Blessing, K. Bloom, B. Blumenfeld, A. Bocci, A. Bodek, A. Boehnlein, D. Boline, E. E. Boos, G. Borissov, D. Bortoletto, T. Bose, J. Boudreau, A. Boveia, A. Brandt, O. Brandt, L. Brigliadori, R. Brock, C. Bromberg, A. Bross, D. Brown, J. Brown, E. Brucken, X. B. Bu, J. Budagov, H. S. Budd, M. Buehler, V. Buescher, V. Bunichev, S. Burdin, K. Burkett, G. Busetto, P. Bussey, C. P. Buszello, A. Buzatu, A. Calamba, C. Calancha, E. Camacho-Pérez, S. Camarda, M. Campanelli, M. Campbell, F. Canelli, B. Carls, D. Carlsmith, R. Carosi, S. Carrillo, S. Carron, B. Casal, M. Casarsa, B. C. K. Casey, H. Castilla-Valdez, A. Castro, P. Catastini, S. Caughron, D. Cauz, V. Cavaliere, M. Cavalli-Sforza, A. Cerri, L. Cerrito, S. Chakrabarti, D. Chakraborty, K. M. Chan, A. Chandra, E. Chapon, G. Chen, Y. C. Chen, M. Chertok, S. Chevalier-Théry, G. Chiarelli, G. Chlachidze, F. Chlebana, D. K. Cho, K. Cho, S. W. Cho, S. Choi, D. Chokheli, B. Choudhary, W. H. Chung, Y. S. Chung, S. Cihangir, M. A. Ciocci, D. Claes, A. Clark, C. Clarke, J. Clutter, G. Compostella, M. E. Convery, J. Conway, M. Cooke, W. E. Cooper, M. Corbo, M. Corcoran, M. Cordelli, F. Couderc, M.-C. Cousinou, C. A. Cox, D. J. Cox, F. Crescioli, A. Croc, J. Cuevas, R. Culbertson, D. Cutts, D. Dagenhart, A. Das, N. d’Ascenzo, M. Datta, G. Davies, P. de Barbaro, S. J. de Jong, E. De La Cruz-Burelo, F. Déliot, M. Dell’Orso, R. Demina, L. Demortier, M. Deninno, D. Denisov, S. P. Denisov, M. d’Errico, S. Desai, C. Deterre, K. DeVaughan, F. Devoto, A. Di Canto, B. Di Ruzza, H. T. Diehl, M. Diesburg, P. F. Ding, J. R. Dittmann, A. Dominguez, S. Donati, P. Dong, M. D’Onofrio, M. Dorigo, T. Dorigo, A. Dubey, L. V. Dudko, D. Duggan, A. Duperrin, S. Dutt, A. Dyshkant, M. Eads, K. Ebina, D. Edmunds, A. Elagin, J. Ellison, V. D. Elvira, Y. Enari, A. Eppig, R. Erbacher, S. Errede, N. Ershaidat, R. Eusebi, H. Evans, A. Evdokimov, V. N. Evdokimov, G. Facini, S. Farrington, M. Feindt, L. Feng, T. Ferbel, J. P. Fernandez, F. Fiedler, R. Field, F. Filthaut, W. Fisher, H. E. Fisk, G. Flanagan, R. Forrest, M. Fortner, H. Fox, M. J. Frank, M. Franklin, J. C. Freeman, S. Fuess, Y. Funakoshi, I. Furic, M. Gallinaro, J. E. Garcia, A. Garcia-Bellido, J. A. García-González, G. A. García-Guerra, A. F. Garfinkel, P. Garosi, V. Gavrilov, P. Gay, W. Geng, D. Gerbaudo, C. E. Gerber, H. Gerberich, E. Gerchtein, Y. Gershtein, S. Giagu, V. Giakoumopoulou, P. Giannetti, K. Gibson, C. M. Ginsburg, G. Ginther, N. Giokaris, P. Giromini, G. Giurgiu, V. Glagolev, D. Glenzinski, M. Gold, D. Goldin, N. Goldschmidt, A. Golossanov, G. Golovanov, G. Gomez, G. Gomez-Ceballos, M. Goncharov, O. González, I. Gorelov, A. T. Goshaw, K. Goulianos, A. Goussiou, P. D. Grannis, S. Greder, H. Greenlee, G. Grenier, S. Grinstein, Ph. Gris, J.-F. Grivaz, A. Grohsjean, C. Grosso-Pilcher, R. C. Group, S. Grünendahl, M. W. Grünewald, T. Guillemin, J. Guimaraes da Costa, G. Gutierrez, P. Gutierrez, S. Hagopian, S. R. Hahn, J. Haley, E. Halkiadakis, A. Hamaguchi, J. Y. Han, L. Han, F. Happacher, K. Hara, K. Harder, D. Hare, M. Hare, A. Harel, R. F. Harr, K. Hatakeyama, J. M. Hauptman, C. Hays, J. Hays, T. Head, T. Hebbeker, M. Heck, D. Hedin, H. Hegab, J. Heinrich, A. P. Heinson, U. Heintz, C. Hensel, I. Heredia-De La Cruz, M. Herndon, K. Herner, G. Hesketh, S. Hewamanage, M. D. Hildreth, R. Hirosky, T. Hoang, J. D. Hobbs, A. Hocker, B. Hoeneisen, J. Hogan, M. Hohlfeld, W. Hopkins, D. Horn, S. Hou, I. Howley, Z. Hubacek, R. E. Hughes, M. Hurwitz, U. Husemann, N. Hussain, M. Hussein, J. Huston, V. Hynek, I. Iashvili, Y. Ilchenko, R. Illingworth, G. Introzzi, M. Iori, A. S. Ito, A. Ivanov, S. Jabeen, M. Jaffré, E. James, D. Jang, A. Jayasinghe, B. Jayatilaka, E. J. Jeon, M. S. Jeong, R. Jesik, S. Jindariani, K. Johns, E. Johnson, M. Johnson, A. Jonckheere, M. Jones, P. Jonsson, K. K. Joo, J. Joshi, S. Y. Jun, A. W. Jung, T. R. Junk, A. Juste, K. Kaadze, E. Kajfasz, T. Kamon, P. E. Karchin, D. Karmanov, A. Kasmi, P. A. Kasper, Y. Kato, I. Katsanos, R. Kehoe, S. Kermiche, W. Ketchum, J. Keung, N. Khalatyan, A. Khanov, A. Kharchilava, Y. N. 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2012
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