cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Visualization of Various Intracranial Stents by Non-Contrast Enhanced MRA Using Ultrashort Echo Time with Arterial Spin Labeling (Silent MRA) and 3D TOF-MRA
Creators: name: Takano, Nao
Publisher: name: European Congress of Radiology
Year: 2017
Subjects: subject: Artifacts
subject: Aneurysms
subject: Catheters
subject: Angioplasty
subject: MR-Angiography
subject: Vascular
subject: Interventional vascular
subject: Arteries / Aorta

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: - To know the feature of silent MRA (Fig.1 : Silent MRA image) - To know the visualization of various intracranial stents by silent MRA and 3D TOF-MRA - How to select appropriate MRA technique at the various situations - To know the usefulness of...
Initial Clinical Experience with Stationary Digital Breast Tomosynthesis
Creators: name: Kim, S.J.
name: Yoon, S.
name: Zhou, O.
name: Kuzmiak, C.M.
name: Zeng, D.
name: Lu, J.
name: Jia, B.
name: Puett, C.
name: Kim, C.
name: Walsh, R.
name: Inscoe, C.R.
name: Lee, Y.Z.
Publisher: name: Elsevier USA
Year: 2019

description: Rationale and Objectives: A linear array of carbon nanotube-enabled x-ray sources allows for stationary digital breast tomosynthesis (sDBT), during which projection views are collected without the need to move the x-ray tube. This work presents our initial clinical experience with a first-generation sDBT device. Materials and Methods: Following informed consent, women with a “suspicious abnormality” (Breast Imaging Reporting and Data System 4), discovered by digital mammography and awaiting biopsy, were also imaged by the first generation sDBT. Four radiologists participated in this paired-image study, completing questionnaires while interpreting the mammograms and sDBT image stacks. Areas under the receiver operating characteristic curve were used to measure reader performance (likelihood of correctly identifying malignancy based on pathology as ground truth), while a multivariate analysis assessed preference, as readers compared one modality to the next when interpreting diagnostically important image features. Results: Findings from 43 women were available for analysis, in whom 12 cases of malignancy were identified by pathology. The mean areas under the receiver operating characteristic curve was significantly higher (p < 0.05) for sDBT than mammography for all breast density categories and breast thicknesses. Additionally, readers preferred sDBT over mammography when evaluating mass margins and shape, architectural distortion, and asymmetry, but preferred mammography when characterizing microcalcifications. Conclusion: Readers preferred sDBT over mammography when interpreting soft-tissue breast features and were diagnostically more accurate using images generated by sDBT in a Breast Imaging Reporting and Data System 4 population. However, the findings also demonstrated the need to improve microcalcification conspicuity, which is guiding both technological and image-processing design changes in future sDBT devices.
Prevalence of pharmacogenomic variants affecting the efficacy of clopidogrel therapy in the Hispanic Community Health Study/Study of Latinos cohort
Creators: name: Hua, S.
name: Hernandez-Suarez, D.F.
name: Zeng, D.
name: Kaplan, R.C.
name: Moon, J.-Y.
name: Qi, Q.
name: Melin, K.
name: Gonzalez, S.
name: Duconge, J.
Publisher: name: Future Medicine Ltd.
Year: 2019

description: Purpose: Although clopidogrel is the most widely used oral P2Y12 receptor antagonist, up to 10% of acute coronary syndrome patients treated with clopidogrel will experience a recurrent myocardial infarction and 2-3% will experience stent thrombosis within 1 year. The purpose of this research is to describe the prevalence of pharmacogene variants associated with clopidogrel responsiveness (CYP2C19, B4GALT2, ABCB1, PON1, CES1 and P2RY12) in Hispanic/Latino patients of diverse backgrounds. Methods: Minor allele frequencies of nine variants from participants of Hispanic Community Health Study/Study of Latinos were compared between subpopulations as well as to continental ancestry references using z-test for independent proportions. Results: MAFs for six out of nine variants differed between Caribbean and Mainland subpopulations (p < 0.05). Compared with European reference group, MAFs of ABCB1, CES1 and PON1 were higher in Hispanic Community Health Study/Study of Latinos, whereas B4GALT2 and CYP2C19∗2 and ∗17 were lower. Conclusion: Significant differences in the prevalence of most pharmacogenomic variants related to clopidogrel response provide a foundation to better inform ongoing and future clinical studies of clopidogrel pharmacogenetics in the US Hispanic/Latino populations.
(102543) George Edward Lowther
Creators: name: Professions, Victorian
Publisher: name: University of Oxford
Year: 2022
Subjects: subject: 220201 Business and Labour History
subject: FOS: Philosophy, ethics and religion
subject: History
subject: 140203 Economic History
subject: FOS: Economics and business

description: This three-year research project began in January 2014 and investigated whether, during the Victorian period, the professions formed a distinct self-sustaining social group with its own mores and values. The project looked at 16,000 individuals drawn from census data for Alnwick, Brighton, Bristol, Dundee, Greenock, Leeds, Merthyr Tydfil, Morpeth, and Winchester. The research project was funded by the UK Economic & Social Research Council and was based at the Universities of Oxford and Northumbria.
The Bell inequality is satisfied by quantum correlations computed consistently with quantum non-commutation
Creators: name: Sica, Louis
Publisher: name: arXiv
Year: 2015
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In constructing his theorem, Bell assumed that correlation functions among non-commuting variables are the same as those among commuting variables. However, in quantum mechanics, multiple data values exist simultaneously for commuting operations while for non-commuting operations data are conditional on prior outcomes, or may be predicted as alternative outcomes of the non-commuting operations. Given these qualitative differences, there is no reason why correlation functions among non-commuting variables should be the same as those among commuting variables, as assumed by Bell. When data for commuting and noncommuting operations are predicted from quantum mechanics, their correlations are different, and they now satisfy the Bell inequality.
description: 9 pages, 2 figures
Prevalence and correlates of mild cognitive impairment among diverse Hispanics/Latinos: Study of Latinos-Investigation of Neurocognitive Aging results
Creators: name: González, H.M.
name: Youngblood, M.
name: Thomas, S.
name: Fornage, M.
name: Schneiderman, N.
name: Ramos, A.R.
name: Lamar, M.
name: Lipton, R.B.
name: Zeng, D.
name: Chai, A.
name: Daviglus, M.L.
name: Tarraf, W.
name: Kaplan, R.
name: DeCarli, C.
name: Gallo, L.C.
name: Vásquez, P.M.
Publisher: name: Elsevier Inc.
Year: 2019

description: Introduction: We estimated the prevalence and correlates of mild cognitive impairment (MCI) among middle-aged and older diverse Hispanics/Latinos. Methods: Middle-aged and older diverse Hispanics/Latinos enrolled (n = 6377; 50–86 years) in this multisite prospective cohort study were evaluated for MCI using the National Institute on Aging–Alzheimer's Association diagnostic criteria. Results: The overall MCI prevalence was 9.8%, which varied between Hispanic/Latino groups. Older age, high cardiovascular disease (CVD) risk, and elevated depressive symptoms were significant correlates of MCI prevalence. Apolipoprotein E4 (APOE) and APOE2 were not significantly associated with MCI. Discussion: MCI prevalence varied among Hispanic/Latino backgrounds, but not as widely as reported in the previous studies. CVD risk and depressive symptoms were associated with increased MCI, whereas APOE4 was not, suggesting alternative etiologies for MCI among diverse Hispanics/Latinos. Our findings suggest that mitigating CVD risk factors may offer important pathways to understanding and reducing MCI and possibly dementia among diverse Hispanics/Latinos.
title: Are 3D volumetric measurements of brain metastasis superior to 2D linear measurements for diseases control?
Creators: name: Fischedick, Gerrit
Publisher: name: European Congress of Radiology
Year: 2017
Subjects: subject: CNS
subject: MR
subject: Radiation therapy / Oncology
subject: Cancer
subject: Metastases

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: The ideal quantification method for tracking disease progression of brain metastasis has been controversially discussed in the relevant literature. In 2015 the RANO group proposed a method in which RECIST 1.1 (Eisenhauer et al., 2009) and the RANO...
Encoding CSP into CCS
Creators: name: Hatzel, Meike
name: Wagner, Christoph
name: Peters, Kirstin
name: Nestmann, Uwe
Publisher: name: arXiv
Year: 2015
Subjects: subject: Logic in Computer Science (cs.LO)
subject: FOS: Computer and information sciences

description: We study encodings from CSP into asynchronous CCS with name passing and matching, so in fact, the asynchronous pi-calculus. By doing so, we discuss two different ways to map the multi-way synchronisation mechanism of CSP into the two-way synchronisation mechanism of CCS. Both encodings satisfy the criteria of Gorla except for compositionality, as both use an additional top-level context. Following the work of Parrow and Sjödin, the first encoding uses a centralised coordinator and establishes a variant of weak bisimilarity between source terms and their translations. The second encoding is decentralised, and thus more efficient, but ensures only a form of coupled similarity between source terms and their translations.
description: In Proceedings EXPRESS/SOS 2015, arXiv:1508.06347
title: Ectopic Lesions in the Abdomen: Imaging and Pathology
Creators: name: Kim, Kyeong Ah
Publisher: name: European Congress of Radiology
Year: 2017
Subjects: subject: Congenital
subject: Normal variants
subject: Contrast agent-intravenous
subject: Ultrasound
subject: MR
subject: CT
subject: Abdomen

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: 1. To discuss and illustrate the imaging features of various ectopic lesions in the abdomen 2. To correlate the imaging findings and...
title: Large-scale neural networks architecture of the human brain in face recognition of normal and pathological conditions
Creators: name: Zhukova, Olga
Publisher: name: European Congress of Radiology
Year: 2017
Subjects: subject: Neuroradiology brain
subject: MR-Functional imaging
subject: Perception image
subject: Developmental disease
subject: Haemodynamics / Flow dynamics

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: The goal - to explore the architecture of large-scale neural network to the face recognition tasks in normal and schizophrenia. The choice of the face images of incentives due to the fact that, according to published data, in patients with...
Early diagnosis of neurological disease using peak degeneration ages of multiple biomarkers
Creators: name: Wang, Y.
name: Zeng, D.
name: Gao, F.
Publisher: name: Institute of Mathematical Statistics
Year: 2019

description: Neurological diseases are due to the loss of structure or function of neurons that eventually leads to cognitive deficit, neuropsychiatric symptoms, and impaired activities of daily living. Identifying sensitive and specific biological and clinical markers for early diagnosis allows recruiting patients into a clinical trial to test therapeutic intervention. However, many biomarker studies considered a single biomarker at one time that fails to provide precise prediction for disease age at onset. In this paper, we use longitudinally collected measurements from multiple biomarkers and measurement error-corrected clinical diagnosis ages to identify which biomarkers and what features of biomarker trajectories are useful for early diagnosis. Specifically, we assume that the subject-specific biomarker trajectories depend on unobserved states of underlying latent variables with the conditional mean follows a nonlinear sigmoid shape. We show that peak degeneration age of the biomarker trajectory is useful for early diagnosis. We propose an Expectation-Maximization (EM) algorithm to obtain the maximum likelihood estimates of all parameters and conduct extensive simulation studies to examine the performance of the proposed methods. Finally, we apply our methods to studies of Alzheimer’s disease and Huntington’s disease and identify a few important biomarkers that can be used for early diagnosis.
(102544) Georgina Stoker
Creators: name: Professions, Victorian
Publisher: name: University of Oxford
Year: 2022
Subjects: subject: 220201 Business and Labour History
subject: FOS: Philosophy, ethics and religion
subject: History
subject: 140203 Economic History
subject: FOS: Economics and business

description: This three-year research project began in January 2014 and investigated whether, during the Victorian period, the professions formed a distinct self-sustaining social group with its own mores and values. The project looked at 16,000 individuals drawn from census data for Alnwick, Brighton, Bristol, Dundee, Greenock, Leeds, Merthyr Tydfil, Morpeth, and Winchester. The research project was funded by the UK Economic & Social Research Council and was based at the Universities of Oxford and Northumbria.
Robustifying trial-derived optimal treatment rules for a target population
Creators: name: Zhao, Y.-Q.
name: Leblanc, M.L.
name: Zeng, D.
name: Tangen, C.M.
Publisher: name: Institute of Mathematical Statistics
Year: 2019

description: Treatment rules based on individual patient characteristics that are easy to interpret and disseminate are important in clinical practice. Properly planned and conducted randomized clinical trials are used to construct individualized treatment rules. However, it is often a concern that trial participants lack representativeness, so it limits the applicability of the derived rules to a target population. In this work, we use data from a single trial study to propose a two-stage procedure to derive a robust and parsimonious rule to maximize the benefit in the target population. The procedure allows a wide range of possible covariate distributions in the target population, with minimal assumptions on the first two moments of the covariate distribution. The practical utility and favorable performance of the methodology are demonstrated using extensive simulations and a real data application.
Collapse of spin-orbit coupled Bose-Einstein condensates
Creators: name: Mardonov, Sh.
name: Sherman, E. Ya.
name: Muga, J. G.
name: Wang, Hong-Wei
name: Ban, Yue
name: Chen, Xi
Publisher: name: arXiv
Year: 2015
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: A finite-size quasi two-dimensional Bose-Einstein condensate collapses if the attraction between atoms is sufficiently strong. Here we present a theory of collapse for condensates with the interatomic attraction and spin-orbit coupling. We consider two realizations of spin-orbit coupling: the axial Rashba coupling and balanced, effectively one-dimensional, Rashba-Dresselhaus one. In both cases spin-dependent "anomalous" velocity, proportional to the spin-orbit coupling strength, plays a crucial role. For the Rashba coupling, this velocity forms a centrifugal component in the density flux opposite to that arising due to the attraction between particles and prevents the collapse at a sufficiently strong coupling. For the balanced Rashba-Dresselhaus coupling, the spin-dependent velocity can spatially split the initial state in one dimension and form spin-projected wavepackets, reducing the total condensate density. Depending on the spin-orbit coupling strength, interatomic attraction, and the initial state, this splitting either prevents the collapse or modifies the collapse process. These results show that the collapse can be controlled by a spin-orbit coupling, thus, extending the domain of existence of condensates of attracting atoms.
description: 8 pages, 7 figures
title: Diagnostic value of abdominal CT in the emergency department for patients with non-traumatic abdominal pain
Creators: name: Yoong, Gary
Publisher: name: European Congress of Radiology
Year: 2017
Subjects: subject: Acute
subject: Diagnostic procedure
subject: CT
subject: Emergency
subject: Abdomen

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Abdominal pain is one of the most frequent complaints for patients presenting to the Emergency Department (ED), comprising of 5-10% of total attendances [1-5]. It can sometimes be difficult to manage and carries risk of misdiagnosis [6]. In the...
(102537) Edward Osborn Stacy
Creators: name: Professions, Victorian
Publisher: name: University of Oxford
Year: 2022
Subjects: subject: 220201 Business and Labour History
subject: FOS: Philosophy, ethics and religion
subject: History
subject: 140203 Economic History
subject: FOS: Economics and business

description: This three-year research project began in January 2014 and investigated whether, during the Victorian period, the professions formed a distinct self-sustaining social group with its own mores and values. The project looked at 16,000 individuals drawn from census data for Alnwick, Brighton, Bristol, Dundee, Greenock, Leeds, Merthyr Tydfil, Morpeth, and Winchester. The research project was funded by the UK Economic & Social Research Council and was based at the Universities of Oxford and Northumbria.
title: Utility of histogram analysis with contrast-enhanced MRI between subgroups of renal tumors
Creators: name: ERBAY, GÜRCAN
Publisher: name: European Congress of Radiology
Year: 2017
Subjects: subject: Neoplasia
subject: Technical aspects
subject: MR-Diffusion/Perfusion
subject: MR
subject: Oncology
subject: Kidney

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Renal tumors include oncocytoma, papillary carcinoma, clear cell carcinoma, chromophobe carcinoma, non-Hodgkin lymphoma (NHL), and transitional cell carcinoma. The biologic behavior and prognosis due to renal tumor type is different. The most common...
Time-like pion electromagnetic form factors in $k_{T}$ factorization with the Next-to-leading-order twist-3 contribution
Creators: name: Cheng, Shan
name: Xiao, Zhen-Jun
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We calculate the time-like pion electromagnetic form factor in the $k_T$ factorization formalism with the inclusion of the next-to-leading-order(NLO) corrections to the leading-twist and sub-leading-twist contributions. It's found that the total NLO correction can enhance (reduce) the magnitude (strong phase) of the leading order form factor by $20\% - 30\%$ ( $< 15^o$) in the considered invariant mass squared $q^2 > 5$ GeV$^2$, and the NLO twist-3 correction play the key role to narrow the gap between the pQCD predictions and the measured values for the time-like pion electromagnetic form factor.
description: 11 pags, 4 figures
Quasi Long Range Order and Vortex Lattice in the Three State Potts Model
Creators: name: Bhattacharya, Soumyadeep
name: Ray, Purusattam
Publisher: name: arXiv
Year: 2015
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We show that the order-disorder phase transition in the three state Potts ferromagnet on a square lattice is driven by a coupled proliferation of vortices and domain walls. Raising the vortex core energy above a certain value decouples the proliferation and splits the transition into two. The phase between the two transitions exhibits an emergent U(1) symmetry and quasi long range order. Lowering the core energy also splits the order-disorder transition but the proliferation does not decouple and a vortex lattice appears as the intermediate phase.
description: 5 pages, 4 figures
(102539) Ellen Davis
Creators: name: Professions, Victorian
Publisher: name: University of Oxford
Year: 2022
Subjects: subject: 220201 Business and Labour History
subject: FOS: Philosophy, ethics and religion
subject: History
subject: 140203 Economic History
subject: FOS: Economics and business

description: This three-year research project began in January 2014 and investigated whether, during the Victorian period, the professions formed a distinct self-sustaining social group with its own mores and values. The project looked at 16,000 individuals drawn from census data for Alnwick, Brighton, Bristol, Dundee, Greenock, Leeds, Merthyr Tydfil, Morpeth, and Winchester. The research project was funded by the UK Economic & Social Research Council and was based at the Universities of Oxford and Northumbria.
DASH diet and prevalent metabolic syndrome in the Hispanic Community Health Study/Study of Latinos
Creators: name: Mattei, J.
name: Khambaty, T.
name: Beasley, J.M.
name: Sotres-Alvarez, D.
name: Gallo, L.C.
name: Castaneda, S.F.
name: Zeng, D.
name: Van Horn, L.
name: Dai, Q.
name: Elfassy, T.
name: Hou, L.
name: Corsino, L.
name: Wu, D.
name: Daviglus, M.L.
name: Joyce, B.T.
name: Talavera, G.A.
Publisher: name: Elsevier Inc.
Year: 2019

description: The Dietary Approaches to Stop Hypertension (DASH) diet is recommended for lowering blood pressure and preventing cardiovascular disease (CVD), but little data exist on these associations in US Hispanics/Latinos. We sought to assess associations between DASH score and prevalence of metabolic syndrome (MetS) and its components in diverse Hispanics/Latinos. We studied 10,741 adults aged 18–74 in the multicenter Hispanic Community Health Study/Study of Latinos. Dietary intake was measured using two 24-hour recalls, and MetS defined per the 2009 harmonized guidelines. We assessed cross-sectional associations of DASH score and MetS (and its dichotomized components) using survey logistic regression, and DASH and MetS continuous components using linear regression. We also stratified these models by Hispanic/Latino heritage group to explore heritage-specific associations. We found no associations between DASH and MetS prevalence. DASH was inversely associated with both measures of blood pressure (p < 0.01 for systolic and p < 0.001 for diastolic) in the overall cohort. DASH was also inversely associated with diastolic blood pressure in the Mexican (p < 0.05), Central American (p < 0.05), and South American (p < 0.01) groups; triglycerides (p < 0.05) in the Central American group; fasting glucose overall (p < 0.01) and in the Mexican group (p < 0.01); and waist circumference overall (p < 0.05) and in the South American group (p < 0.01). DASH was positively associated with HDL-cholesterol (p < 0.01) in the Central American group. DASH may better capture diet-MetS associations in Hispanic/Latino subpopulations such as Central/South Americans; this study also adds evidence that Hispanics/Latinos should be analyzed by heritage. Further research, and/or culturally tailored DASH measures will help further explain between-heritage differences.
title: CADASIL - Radiological appearance, relevance, pitfalls
Creators: name: Lakatos, István
Publisher: name: European Congress of Radiology
Year: 2017
Subjects: subject: Ischaemia / Infarction
subject: Dementia
subject: Diagnostic procedure
subject: MR
subject: CT
subject: Neuroradiology brain

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: This is an educational presentation about CADASIL, focusing our intention: To demonstratethe pathology, clinical signs, and relevance of the disease. To characterize the CT, MRI patterns seen in CADASIL by pictorial examples. To highlight the...
The cross-sectional association of cognitive stimulation factors and cognitive function among Latino adults in Hispanic Community Health Study/Study of Latinos (HCHS/SOL)
Creators: name: Cai, J.
name: Marquine, M.J.
name: Tarraf, W.
name: Schneiderman, N.
name: Vásquez, P.M.
name: Isasi, C.R.
name: Doza, A.
name: González, H.M.
name: Perreira, K.M.
name: Zeng, D.
name: Daviglus, M.L.
Publisher: name: Elsevier Inc
Year: 2019

description: Introduction: Higher cognitive stimulation (CS) is associated with improved cognition. Sources of CS among Hispanics/Latinos are understudied. Methods: In the Hispanic Community Health Study/Study of Latinos 2008 to 2011 (n = 9438), we used finite mixture models to generate latent CS profiles, and multivariate linear regressions to examine associations with cognition in Hispanic/Latino adults (45–74 years). CS included education, occupation, social network, and acculturation. Cognitive measures included the Six-Item Screener, Brief-Spanish English Verbal Learning Test Sum and Recall, Controlled Oral Word Association Test, Digit Symbol Substitution, and Global Cognition. Results: Two CS profiles emerged, and were labeled “typical” and “enhanced.” The enhanced CS profile (22%) had more family connections, bicultural engagements, skilled/professional occupations, education, and higher cognitive scores. Discussion: An enhanced CS profile emerged from contextual and culturally relevant factors, and was associated with higher cognitive scores across all measures. This provides initial evidence on how factors coalesce to shape cognitive protection in Hispanics/Latinos.
title: An Insight into Abernethy Malformations - A must know for every Radiologist
Creators: name: Sirasapalli, Chinnam
Publisher: name: European Congress of Radiology
Year: 2017
Subjects: subject: Vascular
subject: Abdomen
subject: Paediatric
subject: CT
subject: Diagnostic procedure
subject: Congenital

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: Abernethy malformations are rare congenital portomesenteric-systemic shunts bypassing the liver [1]. In 1973, John Abernethy first described this condition in the post mortem examination of a 10 year old girl [1,2]. In this poster, we are describing...
Leveraging nonlinear dynamic models to predict progression of neuroimaging biomarkers
Creators: name: Sun, M.
name: Wang, Y.
name: Zeng, D.
Publisher: name: Blackwell Publishing Inc.
Year: 2019

description: Using biomarkers to model disease course effectively and make early prediction is a challenging but critical path to improving diagnostic accuracy and designing preventive trials for neurological disorders. Leveraging the domain knowledge that certain neuroimaging biomarkers may reflect the disease pathology, we propose a model inspired by the neural mass model from cognitive neuroscience to jointly model nonlinear dynamic trajectories of the biomarkers. Under a nonlinear mixed-effects model framework, we introduce subject- and biomarker-specific random inflection points to characterize the critical time of underlying disease progression as reflected in the biomarkers. A latent liability score is shared across biomarkers to pool information. Our model allows assessing how the underlying disease progression will affect the trajectories of the biomarkers, and, thus, is potentially useful for individual disease management or preventive therapeutics. We propose an EM algorithm for maximum likelihood estimation, where in the E step, a normal approximation is used to facilitate numerical integration. We perform extensive simulation studies and apply the method to analyze data from a large multisite natural history study of Huntington's Disease (HD). The results show that some neuroimaging biomarker inflection points are early signs of the HD onset. Finally, we develop an online tool to provide the individual prediction of the biomarker trajectories given the medical history and baseline measurements.
title: Classification of the various imaging patterns and the role of PET CT in imaging of lymphoma, the great masquerader
Creators: name: Mantripragada, Sravanthi
Publisher: name: European Congress of Radiology
Year: 2017
Subjects: subject: Lymph nodes
subject: PET-CT
subject: Diagnostic procedure
subject: Education and training

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: -Illustrate the many faces of nodal/extranodal lymphoma affecting various organs. -A simple classification based on the various imaging manifestations of lymphoma irrespective of the organ involved and thus help in differentiation from other...
Semiparametric frailty models for zero-inflated event count data in the presence of informative dropout
Creators: name: Hu, K.
name: Zeng, D.
name: Ibrahim, J.G.
name: Diao, G.
Publisher: name: Blackwell Publishing Inc.
Year: 2019

description: Recurrent events data are commonly encountered in medical studies. In many applications, only the number of events during the follow-up period rather than the recurrent event times is available. Two important challenges arise in such studies: (a) a substantial portion of subjects may not experience the event, and (b) we may not observe the event count for the entire study period due to informative dropout. To address the first challenge, we assume that underlying population consists of two subpopulations: a subpopulation nonsusceptible to the event of interest and a subpopulation susceptible to the event of interest. In the susceptible subpopulation, the event count is assumed to follow a Poisson distribution given the follow-up time and the subject-specific characteristics. We then introduce a frailty to account for informative dropout. The proposed semiparametric frailty models consist of three submodels: (a) a logistic regression model for the probability such that a subject belongs to the nonsusceptible subpopulation; (b) a nonhomogeneous Poisson process model with an unspecified baseline rate function; and (c) a Cox model for the informative dropout time. We develop likelihood-based estimation and inference procedures. The maximum likelihood estimators are shown to be consistent. Additionally, the proposed estimators of the finite-dimensional parameters are asymptotically normal and the covariance matrix attains the semiparametric efficiency bound. Simulation studies demonstrate that the proposed methodologies perform well in practical situations. We apply the proposed methods to a clinical trial on patients with myelodysplastic syndromes.
Designing Anisotropic Inflation with Form Fields
Creators: name: Ito, Asuka
name: Soda, Jiro
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We study inflation with anisotropic hair induced by form fields. In four dimensions, the relevant form fields are gauge (one-form) fields and two-form fields. Assuming the exponential form of potential and gauge kinetic functions, we find new exact power-law solutions endowed with anisotropic hair. We also explore the phase space of anisotropic inflation and find fixed points corresponding to the exact power-law solutions. Moreover, we perform the stability analysis around the fixed points to reveal the structure of the phase space. It turns out that one of the fixed points becomes an attractor and others (if any) are saddle points. In particular, the one corresponding to anisotropic inflation becomes an attractor when it exists. We also argue that various anisotropic inflation models can be designed by choosing coupling constants.
description: 27 pages, 8 figures
Efficient methods for signal detection from correlated adverse events in clinical trials
Creators: name: Wang, W.
name: Liu, G.F.
name: Diao, G.
name: Ibrahim, J.G.
name: Zeng, D.
name: Tan, X.
name: Heyse, J.F.
Publisher: name: Blackwell Publishing Inc.
Year: 2019

description: It is an important and yet challenging task to identify true signals from many adverse events that may be reported during the course of a clinical trial. One unique feature of drug safety data from clinical trials, unlike data from post-marketing spontaneous reporting, is that many types of adverse events are reported by only very few patients leading to rare events. Due to the limited study size, the p-values of testing whether the rate is higher in the treatment group across all types of adverse events are in general not uniformly distributed under the null hypothesis that there is no difference between the treatment group and the placebo group. A consequence is that typically fewer than (Formula presented.) percent of the hypotheses are rejected under the null at the nominal significance level of (Formula presented.). The other challenge is multiplicity control. Adverse events from the same body system may be correlated. There may also be correlations between adverse events from different body systems. To tackle these challenging issues, we develop Monte-Carlo-based methods for the signal identification from patient-reported adverse events in clinical trials. The proposed methodologies account for the rare events and arbitrary correlation structures among adverse events within and/or between body systems. Extensive simulation studies demonstrate that the proposed method can accurately control the family-wise error rate and is more powerful than existing methods under many practical situations. Application to two real examples is provided.
title: Imaging features of pediatric rhabdomyosarcomas with emphasis on magnetic resonance imaging (MRI).
Creators: name: Anastasiou, Athanasia
Publisher: name: European Congress of Radiology
Year: 2017
Subjects: subject: Tissue characterisation
subject: Neoplasia
subject: Metastases
subject: Complications
subject: MR
subject: CT
subject: Pelvis
subject: Musculoskeletal soft tissue
subject: Head and neck

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: The aim of our study is to describe Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) features in children diagnosed with rhabdomyosarcoma (RMS) , incorrelation to histologic type, location, extension, recurrence and...
title: Usual and Unusual Parotid Lesions: A Radio-Pathological Correlation
Creators: name: CHATUR, CHINKY
Publisher: name: European Congress of Radiology
Year: 2017
Subjects: subject: Salivary glands
subject: CT
subject: Contrast agent-intravenous
subject: Tissue characterisation
subject: Neoplasia
subject: Inflammation

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: 1. Enlist imaging features of neoplastic and non neoplastic lesions of parotid. 2. Elucidate the imaging features of various parotid lesions and their pathological correlates. 3. To detect specific imaging findings, on CT imaging, predictive of...
MPEC 2023-Q141 : 2023 QH6
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2023
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2023 QH6

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Identifying disease-associated biomarker network features through conditional graphical model
Creators: name: Zeng, D.
name: McColgan, P.
name: Li, X.
name: Wang, Y.
name: Scahill, R.I.
name: Xie, S.
Publisher: name: Blackwell Publishing Inc.
Year: 2019

description: Biomarkers are often organized into networks, in which the strengths of network connections vary across subjects depending on subject-specific covariates (eg, genetic variants). Variation of network connections, as subject-specific feature variables, has been found to predict disease clinical outcome. In this work, we develop a two-stage method to estimate biomarker networks that account for heterogeneity among subjects and evaluate network's association with disease clinical outcome. In the first stage, we propose a conditional Gaussian graphical model with mean and precision matrix depending on covariates to obtain covariate-dependent networks with connection strengths varying across subjects while assuming homogeneous network structure. In the second stage, we evaluate clinical utility of network measures (connection strengths) estimated from the first stage. The second-stage analysis provides the relative predictive power of between-region network measures on clinical impairment in the context of regional biomarkers and existing disease risk factors. We assess the performance of proposed method by extensive simulation studies and application to a Huntington's disease (HD) study to investigate the effect of HD causal gene on the rate of change in motor symptom through affecting brain subcortical and cortical gray matter atrophy connections. We show that cortical network connections and subcortical volumes, but not subcortical connections are identified to be predictive of clinical motor function deterioration. We validate these findings in an independent HD study. Lastly, highly similar patterns seen in the gray matter connections and a previous white matter connectivity study suggest a shared biological mechanism for HD and support the hypothesis that white matter loss is a direct result of neuronal loss as opposed to the loss of myelin or dysmyelination.
Encoding the Factorisation Calculus
Creators: name: Rowe, Reuben N. S.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Logic in Computer Science (cs.LO)
subject: FOS: Computer and information sciences

description: Jay and Given-Wilson have recently introduced the Factorisation (or SF-) calculus as a minimal fundamental model of intensional computation. It is a combinatory calculus containing a special combinator, F, which is able to examine the internal structure of its first argument. The calculus is significant in that as well as being combinatorially complete it also exhibits the property of structural completeness, i.e. it is able to represent any function on terms definable using pattern matching on arbitrary normal forms. In particular, it admits a term that can decide the structural equality of any two arbitrary normal forms. Since SF-calculus is combinatorially complete, it is clearly at least as powerful as the more familiar and paradigmatic Turing-powerful computational models of Lambda Calculus and Combinatory Logic. Its relationship to these models in the converse direction is less obvious, however. Jay and Given-Wilson have suggested that SF-calculus is strictly more powerful than the aforementioned models, but a detailed study of the connections between these models is yet to be undertaken. This paper begins to bridge that gap by presenting a faithful encoding of the Factorisation Calculus into the Lambda Calculus preserving both reduction and strong normalisation. The existence of such an encoding is a new result. It also suggests that there is, in some sense, an equivalence between the former model and the latter. We discuss to what extent our result constitutes an equivalence by considering it in the context of some previously defined frameworks for comparing computational power and expressiveness.
description: In Proceedings EXPRESS/SOS 2015, arXiv:1508.06347
title: Resurrecting the Original St. Francis Heart Study CT Data: Making Legacy Big Data Available for New Research
Creators: name: Lyshkow, Hugh
Publisher: name: European Congress of Radiology
Year: 2017
Subjects: subject: Image verification
subject: Arteriosclerosis
subject: Outcomes analysis
subject: Computer Applications-General
subject: Computer Applications-3D
subject: Neural networks
subject: Image manipulation / Reconstruction
subject: CT-Quantitative
subject: Computer applications
subject: Cardiac

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: A principal obstacle in applying Machine Learning and advanced analytics algorithms to the vast stores of available medical data is the disarray in data structure (which we term “disstructure”) of these datasets. Quantitate, a big-data...
The Effective Field Theory of Large Scale Structure at Two Loops: the apparent scale dependence of the speed of sound
Creators: name: Baldauf, Tobias
name: Mercolli, Lorenzo
name: Zaldarriaga, Matias
Publisher: name: arXiv
Year: 2015
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the Effective Field Theory of Large Scale Structure for cosmic density and momentum fields. We show that the finite part of the two-loop calculation and its counterterms introduce an apparent scale dependence for the leading order parameter $c_\text{s}^2$ of the EFT starting at k=0.1 h/Mpc. These terms limit the range over which one can trust the one-loop EFT calculation at the 1 % level to k<0.1 h/Mpc at redshift z=0. We construct a well motivated one parameter ansatz to fix the relative size of the one- and two-loop counterterms using their high-k sensitivity. Although this one parameter model is a very restrictive choice for the counterterms, it explains the apparent scale dependence of $c_\text{s}^2$ seen in simulations. It is also able to capture the scale dependence of the density power spectrum up to k$\approx$ 0.3 h/Mpc at the 1 % level at redshift $z=0$. Considering a simple scheme for the resummation of large scale motions, we find that the two loop calculation reduces the need for this IR-resummation at k<0.2 h/Mpc. Finally, we extend our calculation to momentum statistics and show that the same one parameter model can also describe density-momentum and momentum-momentum statistics.
description: 22 pages, 13 figures, fixed typos, results unchanged, published version
(102541) Lillian Mary Cowell
Creators: name: Professions, Victorian
Publisher: name: University of Oxford
Year: 2022
Subjects: subject: 220201 Business and Labour History
subject: FOS: Philosophy, ethics and religion
subject: History
subject: 140203 Economic History
subject: FOS: Economics and business

description: This three-year research project began in January 2014 and investigated whether, during the Victorian period, the professions formed a distinct self-sustaining social group with its own mores and values. The project looked at 16,000 individuals drawn from census data for Alnwick, Brighton, Bristol, Dundee, Greenock, Leeds, Merthyr Tydfil, Morpeth, and Winchester. The research project was funded by the UK Economic & Social Research Council and was based at the Universities of Oxford and Northumbria.
Semiparametric regression analysis for composite endpoints subject to componentwise censoring
Creators: name: Ke, C.
name: Ibrahim, J.G.
name: Jiang, Q.
name: Diao, G.
name: Zeng, D.
name: Ma, H.
Publisher: name: Oxford University Press
Year: 2018

description: Composite endpoints with censored data are commonly used as study outcomes in clinical trials. For example, progression-free survival is a widely used composite endpoint, with disease progression and death as the two components. Progression-free survival time is often defined as the time from randomization to the earlier occurrence of disease progression or death from any cause. The censoring times of the two components could be different for patients not experiencing the endpoint event. Conventional approaches, such as taking the minimum of the censoring times of the two components as the censoring time for progression-free survival time, may suffer from efficiency loss and could produce biased estimates of the treatment effect. We propose a new likelihood-based approach that decomposes the endpoints and models both the progression-free survival time and the time from disease progression to death. The censoring times for different components are distinguished. The approach makes full use of available information and provides a direct and improved estimate of the treatment effect on progression-free survival time. Simulations demonstrate that the proposed method outperforms several other approaches and is robust against various model misspecifications. An application to a prostate cancer clinical trial is provided.
title: Indigo carmine dyeing for VATS marking without using local anesthesia: painless technique.
Creators: name: Shimamura, Yasuteru
Publisher: name: European Congress of Radiology
Year: 2017
Subjects: subject: Cancer
subject: Technical aspects
subject: Surgery
subject: Percutaneous
subject: Fluoroscopy
subject: CT
subject: Interventional non-vascular

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: The purpose of this poster is introduce the technique of using a 25-G spinal needle, by which local anesthesia can be...
Resource Allocation in Full-Duplex Communications for Future Wireless Networks
Creators: name: Song, Lingyang
name: Li, Yonghui
name: Han, Zhu
Publisher: name: arXiv
Year: 2015
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: The recent significant progress in realizing full-duplex~(FD) systems has opened up a promising avenue for improving quality of service (QoS) and quality of experience (QoE) in future wireless networks. There is an urgent need to address the diverse set of challenges regarding different aspects of FD network design, theory, and development. In addition to the self-interference cancelation signal processing algorithms, network protocols such as resource management are also essential in the practical design and implementation of FD wireless networks. This article aims to present the latest development and future directions of resource allocation in different full duplex systems by exploring the network resources in different domains, including power, space, frequency, and device dimensions. Four representative application scenarios are considered: FD MIMO networks, FD cooperative networks, FD OFDMA cellular networks, and FD heterogeneous networks. Resource management problems and novel algorithms in these systems are presented, and key open research directions are discussed.
description: 20 pages, 7 figures, accepated in IEEE Wireless Communications, 2015
Efficient Estimation for Semiparametric Structural Equation Models With Censored Data
Creators: name: Wong, K.Y.
name: Zeng, D.
name: Lin, D.Y.
Publisher: name: American Statistical Association
Year: 2018

description: Structural equation modeling is commonly used to capture complex structures of relationships among multiple variables, both latent and observed. We propose a general class of structural equation models with a semiparametric component for potentially censored survival times. We consider nonparametric maximum likelihood estimation and devise a combined expectation-maximization and Newton-Raphson algorithm for its implementation. We establish conditions for model identifiability and prove the consistency, asymptotic normality, and semiparametric efficiency of the estimators. Finally, we demonstrate the satisfactory performance of the proposed methods through simulation studies and provide an application to a motivating cancer study that contains a variety of genomic variables. Supplementary materials for this article are available online. © 2018, © 2018 American Statistical Association.