cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Regression uncertainty on the Grassmannian
Creators: name: Hong, Y.
name: Niethammer, M.
name: Styner, M.
name: Yang, X.
name: Kwitt, R.
Publisher: name: PMLR
Year: 2017

description: Trends in longitudinal or cross-sectional studies over time are often captured through regression models. In their simplest manifestation, these regression models are formulated in ℝn. However, in the context of imaging studies, the objects of interest which are to be regressed are frequently best modeled as elements of a Riemannian manifold. Regression on such spaces can be accomplished through geodesic regression. This paper develops an approach to compute confidence intervals for geodesic regression models. The approach is general, but illustrated and specifically developed for the Grassmann manifold, which allows us, e.g., to regress shapes or linear dynamical systems. Extensions to other manifolds can be obtained in a similar manner. We demonstrate our approach for regression with 2D/3D shapes using synthetic and real data.
Diagnostic index: An open-source tool to classify TMJ OA condyles
Creators: name: Ruellas, A.C.
name: Cevidanes, L.
name: Yatabe, M.
name: Pascal, L.
name: Gomes, L.
name: Prieto, J.
name: Benavides, E.
name: Pieper, S.
name: Budin, F.
name: Vimort, J.B.
name: Paniagua, B.
name: Styner, M.
Publisher: name: SPIE
Year: 2017

description: Osteoarthritis (OA) of temporomandibular joints (TMJ) occurs in about 40% of the patients who present TMJ disorders. Despite its prevalence, OA diagnosis and treatment remain controversial since there are no clear symptoms of the disease, especially in early stages. Quantitative tools based on 3D imaging of the TMJ condyle have the potential to help characterize TMJ OA changes. The goals of the tools proposed in this study are to ultimately develop robust imaging markers for diagnosis and assessment of treatment efficacy. This work proposes to identify differences among asymptomatic controls and different clinical phenotypes of TMJ OA by means of Statistical Shape Modeling (SSM), obtained via clinical expert consensus. From three different grouping schemes (with 3, 5 and 7 groups), our best results reveal that that the majority (74.5%) of the classifications occur in agreement with the groups assigned by consensus between our clinical experts. Our findings suggest the existence of different disease-based phenotypic morphologies in TMJ OA. Our preliminary findings with statistical shape modeling based biomarkers may provide a quantitative staging of the disease. The methodology used in this study is included in an open source image analysis toolbox, to ensure reproducibility and appropriate distribution and dissemination of the solution proposed.
Norms of inner derivations for multiplier algebras of C*-algebras and group C*-algebras, II
Creators: name: Archbold, Robert J.
name: Kaniuth, Eberhard
name: Somerset, Douglas W. B.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Operator Algebras (math.OA)
subject: Functional Analysis (math.FA)
subject: General Topology (math.GN)
subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: 46L05, 46L57, 22C05, 22D15, 22D25, 54H15

description: The derivation constant $K(A)\geq \frac{1}{2}$ has been extensively studied for \emph{unital} non-commutative $C^*$-algebras. In this paper, we investigate properties of $K(M(A))$ where $M(A)$ is the multiplier algebra of a non-unital $C^*$-algebra $A$. A number of general results are obtained which are then applied to the group $C^*$-algebras $A=C^*(G_N)$ where $G_N$ is the motion group $\R^N\rtimes SO(N)$. Utilising the rich topological structure of the unitary dual $\widehat{G_N}$, it is shown that, for $N\geq3$, $$K(M(C^*(G_N)))= \frac{1}{2}\left\lceil \frac{N}{2}\right\rceil.$$
description: 26 pages. This is an Author Accepted Manuscript. Publication details will be added when available
(103886) Lucy Buckley
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.
Workshop Agenda -Breakouts & Maps (rev 20191028 Updated).pdf
Creators: name: Gaillard, Nicolas
Publisher: name: figshare
Year: 2020
Subjects: subject: 91305 Energy Generation, Conversion and Storage Engineering
subject: FOS: Mechanical engineering

description: Agenda of the 2nd annual workshop of PEC standards and protocols.
Brain structure in sagittal craniosynostosis
Creators: name: Styner, M.
name: Moustapha, M.
name: Paniagua, B.
name: Rumple, A.
name: Gilmore, J.
name: Skolnick, G.
name: Kim, S.
name: Cody-Hazlett, H.
name: Piven, J.
name: Gimple-Smith, R.
name: Patel, K.
Publisher: name: SPIE
Year: 2017

description: Craniosynostosis, the premature fusion of one or more cranial sutures, leads to grossly abnormal head shapes and pressure elevations within the brain caused by these deformities. To date, accepted treatments for craniosynostosis involve improving surgical skull shape aesthetics. However, the relationship between improved head shape and brain structure after surgery has not been yet established. Typically, clinical standard care involves the collection of diagnostic medical computed tomography (CT) imaging to evaluate the fused sutures and plan the surgical treatment. CT is known to provide very good reconstructions of the hard tissues in the skull but it fails to acquire good soft brain tissue contrast. This study intends to use magnetic resonance imaging to evaluate brain structure in a small dataset of sagittal craniosynostosis patients and thus quantify the effects of surgical intervention in overall brain structure. Very importantly, these effects are to be contrasted with normative shape, volume and brain structure databases. The work presented here wants to address gaps in clinical knowledge in craniosynostosis focusing on understanding the changes in brain volume and shape secondary to surgery, and compare those with normally developing children. This initial pilot study has the potential to add significant quality to the surgical care of a vulnerable patient population in whom we currently have limited understanding of brain developmental outcomes.
(103889) Samuel Buckley
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.
Enhanced Quantum Transport in Multiplex Networks
Creators: name: Muelken, Oliver
Publisher: name: arXiv
Year: 2015
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum transport through disordered structures is inhibited by (Anderson) localization effects. The disorder can be either topological as in random networks or energetical as in the original Anderson model. In both cases the eigenstates of the Hamiltonian associated with the network become localized. We show how to overcome localization by network multiplexing. Here, multiple layers of random networks with the same number of nodes are stacked in such a way that in the perpendicular directions regular one-dimensional networks are formed. Depending on the ratio of the coupling within the layer and perpendicular to it, transport gets either enhanced or diminished. In particular, if the couplings are of the same order, transport gets enhanced and localization effects can be overcome. We exemplify our results by two examples: multiplexes of random networks and of one-dimensional Anderson models.
description: 4 pages, 3 figures, fixed references
CIVILITY: Cloud based interactive visualization of tractography brain connectome
Creators: name: Prieto, J.C.
name: Puechmaille, D.
name: Styner, M.
Publisher: name: SPIE
Year: 2017

description: Cloud based Interactive Visualization of Tractography Brain Connectome (CIVILITY) is an interactive visualization tool of brain connectome in the cloud. This application submits tasks to remote computing grids were the CIVILITY-tractography pipeline is deployed. The application will list the running tasks for the user and once a task is completed the brain connectome is visualized using Hierarchical Edge Bundling. The analysis pipeline uses FSL tools (bedpostx and probtrackx2) to generate a triangular matrix indicating the connectivity strength between different regions in the brain. This work is motivated by medical applications in which expensive computational tasks such as brain connectivity is needed and to provide a state of the art visualization tool of Brain Connectome. This work does not contribute any novelty with respect to the visualization methodology, is rather a new resource for the neuroimaging community. This work is submitted to the SPIE Biomedical Applications in Molecular, Structural, and Functional Imaging conference. The source code of this application is available in NITRC.
(4285) Catherine Disney
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.
Federating heterogeneous datasets to enhance data sharing and experiment reproducibility
Creators: name: Paniagua, B.
name: Ruellas, A.C.O.
name: Cevidanes, L.
name: Muniz, L.
name: Prieto, J.C.
name: Fattori, L.
name: Yatabe, M.S.
name: Styner, M.
Publisher: name: SPIE
Year: 2017

description: Recent studies have demonstrated the difficulties to replicate scientific findings and/or experiments published in past.1 The effects seen in the replicated experiments were smaller than previously reported. Some of the explanations for these findings include the complexity of the experimental design and the pressure on researches to report positive findings. The International Committee of Medical Journal Editors (ICMJE) suggests that every study considered for publication must submit a plan to share the de-identified patient data no later than 6 months after publication. There is a growing demand to enhance the management of clinical data, facilitate data sharing across institutions and also to keep track of the data from previous experiments. The ultimate goal is to assure the reproducibility of experiments in the future. This paper describes Shiny-tooth, a web based application created to improve clinical data acquisition during the clinical trial; data federation of such data as well as morphological data derived from medical images; Currently, this application is being used to store clinical data from an osteoarthritis (OA) study. This work is submitted to the SPIE Biomedical Applications in Molecular, Structural, and Functional Imaging conference.
A Thesis Submitted to Addis Ababa University, College of Business and Economics, Department of Management in Partial Fulfillment of the Requirements for the Degree of Master of Business Administration
Creators: name: Amanuel Haile
Publisher: name: Zenodo
Year: 2019

description: The purpose of this study is to examine the relationship between leadership competences of project managers and project success of construction projects undertaken by big construction companies in Ethiopia. The study adopted cross-sectional survey descriptive research with quantitative approach to test the research hypotheses. Using systematic random sampling, a sample of Fourteen (14) category A construction companies that have been implementing construction projects in recent years was selected. Forty two (42) project managers/leaders were obtained as a sample for the study. The result shows that project managers’ emotional (EQ) and managerial (MQ) competences of leadership have statistically significant positive relationship with project success. However, no statistically significant relationship was found between project managers’ intellectual (IQ) competence and project success. The overall finding of this study suggests that project manager leadership competences play important roles in achieving project success. The study recommends that companies should consider leadership competences when recruiting and assigning project managers for projects
Lonchorhina inusitata Handley & Ochoa 1997
Creators: name: Wilson, Don E.
name: Mittermeier, Russell A.
Publisher: name: Zenodo
Year: 2019
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Mammalia
Chiroptera
Phyllostomidae
Lonchorhina
Lonchorhina inusitata

description: 20. Uncommon Sword-nosed Bat Lonchorhina inusitata French: Lonchorhine de Guyane / German: Nordliche Schwertnase / Spanish: Loncorino de Guayana Francesa Other common names: Hairy-faced Sword-nosed Bat, Northern Sword-nosed Bat Taxonomy. Lonchorhina inusitata Handley & Ochoa, 1997, “Boca Mavaca, 84 km SSE Esmeralda, 2°30'N - 65°13’W, 138 m, Amazonas, Venezuela.” This species is monotypic. Distribution. S Venezuela, the Guianas, and N Brazil. Descriptive notes. Head-body 57-72 mm, tail 54-67 mm, ear 30-37 mm, hindfoot 13-18 mm, forearm 52-57 mm; weight 14-19 g. The Uncommon Sword-nosed Bat is a large species of Lonchorhina and has long noseleaf (c. 27 mm), ears, and tail. Dorsalfur is dark brown; venteris slightly paler. Both surfaces of arms, ventral surface of wings near body, and anterior lobes of ears are hairy. Habitat. Primary and secondary tropical lowland rainforests and Pakaraima Highlands (414 m elevation). Food and Feeding. Stomach contents of Uncommon Sword-nosed Bats contained spiders (Arachnida) and moths (Lepidoptera). Breeding. Female Uncommon Sword-nosed Bats were non-reproductive in February-April, pregnant in May, lactating in October-November, and post-lactating in October. Activity patterns. The Uncommon Sword-nosed Bat has been caught flying near water, including over swamps and streams. Movements, Home range and Social organization. A colony of 300 Uncommon Swordnosed Bats was found tightly clustered in a cave with Guianan Spear-nosed Bats (Phyllostomus latifolius), Seba’s Short-tailed Bats (Carollia perspicillata), and Lesser Dog-like Bats (Peropteryx macrotis). Status and Conservation. Classified as Data Deficient on The IUCN Red List. Bibliography. Brosset & Charles-Dominique (1991), Dalponte et al. (2016), Gardner (1988), Genoways et al. (1981), Handley & Ochoa (1997), Smith & Kerry (1996), Williams & Genoways (2008).
description: Published as part of Don E. Wilson & Russell A. Mittermeier, 2019, Phyllostomidae, pp. 444-583 in Handbook of the Mammals of the World – Volume 9 Bats, Barcelona :Lynx Edicions on pages 497-498, DOI: 10.5281/zenodo.6458594
THE MADS-DOMAIN SEEDSTICK PLAYS FUNDAMENTAL ROLES DURING TRANSMITTING TRACT DEVELOPMENT AND FRUIT GROWTH IN ARABIDOPSIS THALIANA
Creators: name: DI MARZO, MAURIZIO
Publisher: name: Universit� degli Studi di Milano
Year: 2020

description: The MADS-box gene SEEDSTICK (STK) controls several aspects of plant reproduction. STK is co-expressed with CESTA (CES), a basic Helix-Loop-Helix (bHLH) transcription factor-encoding gene. CES was reported to control redundantly with the brassinosteroid positive signaling factors BRASSINOSTEROID ENHANCED EXPRESSION1 (BEE1) and BEE3 the transmitting tract development. Through the characterization of the stk ces-2 double mutant, we observed that STK and CES act together in the regulation of transmitting tract development. Combining the stk with ces-2 bee1 bee3 we have obtained the quadruple mutant showed a clear increase of the unfertilized ovules and septum defects. In the quadruple mutant carpel fusion was compromised, causing the formation of holes at the center of the septum where transmitting tract differentiates. These phenotypes do not allow a proper pollen tube growth in the double mutant stk ces-2, and even more in the quadruple mutant bee1 bee3 stk ces-2 leading to high number of unfertilized ovules. The transcriptome profile of the quadruple mutant bee1 bee3 stk ces-2 compared to wild type revealed a small subset of misregulated genes, which probably act downstream of the transcription factor described above, mainly involved in cell death, the extracellular matrix of the transmitting tract, cell wall composition and auxin signaling. This specific subset of downstream target genes controlled directly or indirectly by STK-CES-BEE1-BEE3 protein complex, open doors to a new regulatory network controls transmitting tract development. Altogether our data reveal new insights in the regulation of transmitting tract development together by bHLH and MADS-box transcription factors.
Ferroelectric domain formation in discotic liquid crystals : Monte Carlo study on the influence of boundary conditions
Creators: name: Bose, Tushar Kanti
name: Saha, Jayashree
Publisher: name: arXiv
Year: 2015
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: The realization of a spontaneous macroscopic ferroelectric order in fluids of anisotropic mesogens is a topic of both fundamental and technological interest. Recently, we demonstrated that a system of dipolar achiral disklike ellipsoids can exhibit long-searched ferroelectric liquid crystalline phases of dipolar origin. In the present work, extensive off-lattice Monte Carlo simulations are used to investigate the phase behavior of the system under the influences of the electrostatic boundary conditions that restrict any global polarization. We find that the system develops strongly ferroelectric slablike domains periodically arranged in an antiferroelectric fashion. Exploring the phase behavior at different dipole strengths, we find existence of the ferroelectric nematic and ferroelectric columnar order inside the domains. For higher dipole strengths, a biaxial phase is also obtained with a similar periodic array of ferroelectric slabs of antiparallel polarizations. We have studied the depolarizing effects by using both the Ewald summation and the spherical cut-off techniques. We present and compare the results of the two different approaches of considering the depolarizing effects in this anisotropic system. It is explicitly shown that the domain size increases with the system size as a result of considering longer range of dipolar interactions. The system exhibits pronounced system size effects for stronger dipolar interactions. The results provide strong evidence to the novel understanding that the dipolar interactions are indeed sufficient to produce long range ferroelectric order in anisotropic fluids.
Subtleties of the clock retardation
Creators: name: Redzic, D. V.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Classical Physics (physics.class-ph)
subject: FOS: Physical sciences

description: For a simple electromagnetic model of a clock introduced by Jefimenko (clock $\#$ 1 in 1996 {\it Am. J. Phys.} {\bf 64} 812), a change of the rate of the clock when it is set in uniform motion is calculated exactly, employing the correct equation of motion of a charged particle in the electromagnetic field and the universal boostability assumption. Thus, for the clock under consideration, a dynamical content of the clock retardation is demonstrated. Somewhat surprisingly, the analysis presented discloses that some familiar relativistic generalisations concerning the retardation of clocks have to be amended.
description: 10 pages
I LIMITI ALLA DEROGABILIT� DELLE NORME SUL RAPPORTO DI LAVORO. DAL PRINCIPIO DI INDEROGABILIT� ALL'ARTICOLO 8 DEL DECRETO LEGGE N. 138/2011, CONVERTITO CON MODIFICAZIONI IN LEGGE N. 148/2011
Creators: name: LATTANZIO, FILIPPO
Publisher: name: Universit� degli Studi di Milano
Year: 2014

description: This thesis examines the mandatory rule?s reasons and fall-outs in labour relations: fairness and social justice base the State intervention. Nevertheless, global economy and globalisation pushing for case-by-case opting out and proximity bargaining. This essay analyses especially art. 8 l. n. 148/2011. Now specific agreements can regulate labour relations in several sectors, without the rule of law.
Large deep neural networks for MS lesion segmentation
Creators: name: Cavallari, M.
name: Egorova, S.
name: Styner, M.
name: Palotai, M.
name: Prieto, J.C.
name: Guttmann, C.R.G.
name: Morales Pinzon, A.
Publisher: name: SPIE
Year: 2017

description: Multiple sclerosis (MS) is a multi-factorial autoimmune disorder, characterized by spatial and temporal dissemination of brain lesions that are visible in T2-weighted and Proton Density (PD) MRI. Assessment of lesion burden and is useful for monitoring the course of the disease, and assessing correlates of clinical outcomes. Although there are established semi-automated methods to measure lesion volume, most of them require human interaction and editing, which are time consuming and limits the ability to analyze large sets of data with high accuracy. The primary objective of this work is to improve existing segmentation algorithms and accelerate the time consuming operation of identifying and validating MS lesions. In this paper, a Deep Neural Network for MS Lesion Segmentation is implemented. The MS lesion samples are extracted from the Partners Comprehensive Longitudinal Investigation of Multiple Sclerosis (CLIMB) study. A set of 900 subjects with T2, PD and a manually corrected label map images were used to train a Deep Neural Network and identify MS lesions. Initial tests using this network achieved a 90% accuracy rate. A secondary goal was to enable this data repository for big data analysis by using this algorithm to segment the remaining cases available in the CLIMB repository.
(103887) James Wilkinson Pinniger
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.
Lonchorhina orinocensis Linares & Ojasti 1971
Creators: name: Wilson, Don E.
name: Mittermeier, Russell A.
Publisher: name: Zenodo
Year: 2019
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Mammalia
Chiroptera
Phyllostomidae
Lonchorhina
Lonchorhina orinocensis

description: 21. Orinoco Sword-nosed Bat Lonchorhina orinocensis French: Lonchorhine de I'Orénoque / German: Orinoco-Schwertnase / Spanish: Loncorino de Orinoco Other common names: Orinocoan Sword-nosed Bat Taxonomy. Lonchorhina orinocensis Linares & Ojasti, 1971, “Boca de Villacoa, Rio Orinoco (50 km. NE de Puerto Paez), Estado Bolivar, Venezuela, a 65 mts. s.n.m.” This species is monotypic. Distribution. E Colombia, S Venezuela, and SW Guyana. Descriptive notes. Head—body 47-54 mm, tail 47-57 mm, ear 28-32 mm, hindfoot 9-12 mm, forearm 40-44 mm; weight 8-12 g. Fur of the Orinoco Sword-nosed Bat is dark brown dorsally and paler ventrally. Pelage is dense, with basal one-third of hairs paler. Hairs are ¢. 9 mm in interscapular region and c. 6 mm in ventral midregion. Noseleaf and ears are long, with granulated surfaces on anterior parts of ears. Habitat. [.owland savanna with isolated igneous rock outcrops and forested hills below elevations of ¢. 300 m. Food and Feeding. No information. Breeding. Pregnant Orinoco Sword-nosed Bats were recorded in July, and a non-reproductive female was found in October. Activity patterns. Orinoco Sword-nosed Bats roost in rocky outcrop crevices and small caves. Movements, Home range and Social organization. Orinoco Sword-nosed Bats have been found roosting with Little Big-eared Bats (Micronycteris megalotis), Greater Whitelined Bats (Saccopteryx bilineata), and Trinidad Dog-like Bats (Peropteryx trinitats). Status and Conservation. Classified as Vulnerable on The IUCN Red List. Bibliography. Hernandez-Camacho & Cadena (1978), Lee et al. (2000), Lim, B.K. et al. (2016), Linares & Ojasti (1971), Williams & Genoways (2008).
description: Published as part of Don E. Wilson & Russell A. Mittermeier, 2019, Phyllostomidae, pp. 444-583 in Handbook of the Mammals of the World – Volume 9 Bats, Barcelona :Lynx Edicions on page 498, DOI: 10.5281/zenodo.6458594
CHARACTERIZATION OF DISEASE GENES IN NEURODEGENERATION WITH BRAIN IRON ACCUMULATION
Creators: name: DUSI, SABRINA
Publisher: name: Universit� degli Studi di Milano
Year: 2015

description: Neurodegeneration with brain iron accumulation (NBIA) comprises a heterogeneous group of genetically defined disorders clinically characterized by progressive extrapyramidal deterioration and by iron accumulation in the basal ganglia. The clinical spectrum of NBIA is extremely wide and includes early-onset neurodegeneration and adult-onset parkinsonisms-dystonia. Recessive NBIA syndromes may be due to mutations in the PANK2, PLA2G6, FA2H, and C19orf12 genes, but still in a large proportion of patients, no genetic alteration can be found. Using Whole Exome Sequencing (WES) strategy we identified, in a NBIA patient, a homozygous missense mutation in the gene codifying for coenzyme A synthase (COASY). By performing traditional Sanger sequencing in a cohort of NBIA subjects, we found another mutant patient. COASY is a bifunctional mitochondrial enzyme involved in the two last steps of coenzyme A (CoA) biosynthesis, a molecule of primary importance for several metabolic pathways. The missense mutation found affects a highly conserved aminoacid residue in the catalytic site of COASY. Western-blot analysis showed that the protein is absent in patients-derived skin fibroblasts. We synthesized human wild-type and mutated catalytic domain and full-lenght COASY to analyze, by HPLC, in-vitro protein activity. Additional experiments were performed on yeast cells and on patient-derived skin fibroblasts. Together with mutations in PANK2, coding for the first enzyme involved in CoA biosynthesis, mutations in COASY impinge on the same biosynthetic pathway causing NBIA. For this reason further analysis were performed also on PKAN patients-derived skin fibroblasts and on Pank2 knockout mouse model, to better understand the link between CoA synthesis defect and neurodegeneration.
White matter fiber-based analysis of T1w/T2w ratio map
Creators: name: Noel, J.
name: Styner, M.
name: Budin, F.
name: Prieto, J.C.
name: Chen, H.
name: Gilmore, J.
name: Entringer, S.
name: Buss, C.
name: Wadhwa, P.D.
name: Rasmussen, J.
Publisher: name: SPIE
Year: 2017

description: Purpose: To develop, test, evaluate and apply a novel tool for the white matter fiber-based analysis of T1w/T2w ratio maps quantifying myelin content. Background: The cerebral white matter in the human brain develops from a mostly non-myelinated state to a nearly fully mature white matter myelination within the first few years of life. High resolution T1w/T2w ratio maps are believed to be effective in quantitatively estimating myelin content on a voxel-wise basis. We propose the use of a fiber-tract-based analysis of such T1w/T2w ratio data, as it allows us to separate fiber bundles that a common regional analysis imprecisely groups together, and to associate effects to specific tracts rather than large, broad regions. Methods: We developed an intuitive, open source tool to facilitate such fiber-based studies of T1w/T2w ratio maps. Via its Graphical User Interface (GUI) the tool is accessible to non-technical users. The framework uses calibrated T1w/T2w ratio maps and a prior fiber atlas as an input to generate profiles of T1w/T2w values. The resulting fiber profiles are used in a statistical analysis that performs along-tract functional statistical analysis. We applied this approach to a preliminary study of early brain development in neonates. Results: We developed an open-source tool for the fiber based analysis of T1w/T2w ratio maps and tested it in a study of brain development.
A segmentation editing framework based on shape change statistics
Creators: name: Mostapha, M.
name: Styner, M.
name: Vicory, J.
name: Pizer, S.
Publisher: name: SPIE
Year: 2017

description: Segmentation is a key task in medical image analysis because its accuracy significantly affects successive steps. Automatic segmentation methods often produce inadequate segmentations, which require the user to manually edit the produced segmentation slice by slice. Because editing is time-consuming, an editing tool that enables the user to produce accurate segmentations by only drawing a sparse set of contours would be needed. This paper describes such a framework as applied to a single object. Constrained by the additional information enabled by the manually segmented contours, the proposed framework utilizes object shape statistics to transform the failed automatic segmentation to a more accurate version. Instead of modeling the object shape, the proposed framework utilizes shape change statistics that were generated to capture the object deformation from the failed automatic segmentation to its corresponding correct segmentation. An optimization procedure was used to minimize an energy function that consists of two terms, an external contour match term and an internal shape change regularity term. The high accuracy of the proposed segmentation editing approach was confirmed by testing it on a simulated data set based on 10 in-vivo infant magnetic resonance brain data sets using four similarity metrics. Segmentation results indicated that our method can provide efficient and adequately accurate segmentations (Dice segmentation accuracy increase of 10%), with very sparse contours (only 10%), which is promising in greatly decreasing the work expected from the user.
(4283) Arthur Edward Barlow
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.
(4284) William Barlow
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.
FADTTSter: Accelerating hypothesis testing with functional analysis of diffusion tensor tract statistics
Creators: name: Prieto, J.C.
name: Styner, M.
name: Noel, J.
Publisher: name: SPIE
Year: 2017

description: Functional Analysis of Diffusion Tensor Tract Statistics (FADTTS) is a toolbox for analysis of white matter (WM) fiber tracts. It allows associating diffusion properties along major WM bundles with a set of covariates of interest, such as age, diagnostic status and gender, and the structure of the variability of these WM tract properties. However, to use this toolbox, a user must have an intermediate knowledge in scripting languages (MATLAB). FADTTSter was created to overcome this issue and make the statistical analysis accessible to any non-technical researcher. FADTTSter is actively being used by researchers at the University of North Carolina. FADTTSter guides non-technical users through a series of steps including quality control of subjects and fibers in order to setup the necessary parameters to run FADTTS. Additionally, FADTTSter implements interactive charts for FADTTS' outputs. This interactive chart enhances the researcher experience and facilitates the analysis of the results. FADTTSter's motivation is to improve usability and provide a new analysis tool to the community that complements FADTTS. Ultimately, by enabling FADTTS to a broader audience, FADTTSter seeks to accelerate hypothesis testing in neuroimaging studies involving heterogeneous clinical data and diffusion tensor imaging. This work is submitted to the Biomedical Applications in Molecular, Structural, and Functional Imaging conference. The source code of this application is available in NITRC.
Compressive sensing based Q-space resampling for handling fast bulk motion in hardi acquisitions
Creators: name: Gerig, G.
name: Styner, M.
name: Vachet, C.
name: Piven, J.
name: Elhabian, S.
Publisher: name: IEEE Computer Society
Year: 2016

description: Diffusion-weighted (DW) MRI has become a widely adopted imaging modality to reveal the underlying brain connectivity. Long acquisition times and/or non-cooperative patients increase the chances of motion-related artifacts. Whereas slow bulk motion results in inter-gradient misalignment which can be handled via retrospective motion correction algorithms, fast bulk motion usually affects data during the application of a single diffusion gradient causing signal dropout artifacts. Common practices opt to discard gradients bearing signal attenuation due to the difficulty of their retrospective correction, with the disadvantage to lose full gradients for further processing. Nonetheless, such attenuation might only affect limited number of slices within a gradient volume. Q-space resampling has recently been proposed to recover corrupted slices while saving gradients for subsequent reconstruction. However, few corrupted gradients are implicitly assumed which might not hold in case of scanning unsedated infants or patients in pain. In this paper, we propose to adopt recent advances in compressive sensing based reconstruction of the diffusion orientation distribution functions (ODF) with under sampled measurements to resample corrupted slices. We make use of Simple Harmonic Oscillator based Reconstruction and Estimation (SHORE) basis functions which can analytically model ODF from arbitrary sampled signals. We demonstrate the impact of the proposed resampling strategy compared to state-of-art resampling and gradient exclusion on simulated intra-gradient motion as well as samples from real DWI data.
Enhanced cortical thickness measurements for rodent brains via Lagrangian-based RK4 streamline computation
Creators: name: Lee, J.
name: Kim, S.H.
name: Styner, M.
name: Oguz, I.
Publisher: name: SPIE
Year: 2016

description: The cortical thickness of the mammalian brain is an important morphological characteristic that can be used to investigate and observe the brain's developmental changes that might be caused by biologically toxic substances such as ethanol or cocaine. Although various cortical thickness analysis methods have been proposed that are applicable for human brain and have developed into well-validated open-source software packages, cortical thickness analysis methods for rodent brains have not yet become as robust and accurate as those designed for human brains. Based on a previously proposed cortical thickness measurement pipeline for rodent brain analysis,1 we present an enhanced cortical thickness pipeline in terms of accuracy and anatomical consistency. First, we propose a Lagrangian-based computational approach in the thickness measurement step in order to minimize local truncation error using the fourth-order Runge-Kutta method. Second, by constructing a line object for each streamline of the thickness measurement, we can visualize the way the thickness is measured and achieve sub-voxel accuracy by performing geometric post-processing. Last, with emphasis on the importance of an anatomically consistent partial differential equation (PDE) boundary map, we propose an automatic PDE boundary map generation algorithm that is specific to rodent brain anatomy, which does not require manual labeling. The results show that the proposed cortical thickness pipeline can produce statistically significant regions that are not observed in the previous cortical thickness analysis pipeline.
Non-local transport via edge-states in InAs/GaSb coupled quantum wells
Creators: name: Mueller, Susanne
name: Pal, Atindra Nath
name: Karalic, Matija
name: Tschirky, Thomas
name: Charpentier, Christophe
name: Wegscheider, Werner
name: Ensslin, Klaus
name: Ihn, Thomas
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We have investigated low-temperature electronic transport on InAs/GaSb double quantum wells, a system which promises to be electrically tunable from a normal to a topological insulator. Hall bars of $50\,μ$m in length down to a few $μ$m gradually develop a pronounced resistance plateau near charge-neutrality, which comes along with distinct non-local transport along the edges. Plateau resistances are found to be above or below the quantized value expected for helical edge channels. We discuss these results based on the interplay between imperfect edges and residual local bulk conductivity.
description: 5 pages, 3 figures
Autotract: Automatic cleaning and tracking of fibers
Creators: name: Budin, F.
name: Styner, M.
name: Prieto, J.C.
name: Yang, J.Y.
Publisher: name: SPIE
Year: 2016

description: We propose a new tool named Autotract to automate fiber tracking in diffusion tensor imaging (DTI). Autotract uses prior knowledge from a source DTI and a set of corresponding fiber bundles to extract new fibers for a target DTI. Autotract starts by aligning both DTIs and uses the source fibers as seed points to initialize a tractography algorithm. We enforce similarity between the propagated source fibers and automatically traced fibers by computing metrics such as fiber length and fiber distance between the bundles. By analyzing these metrics, individual fiber tracts can be pruned. As a result, we show that both bundles have similar characteristics. Additionally, we compare the automatically traced fibers against bundles previously generated and validated in the target DTI by an expert. This work is motivated by medical applications in which known bundles of fiber tracts in the human brain need to be analyzed for multiple datasets.
Vector Calculus in Non-Integer Dimensional Space and its Applications to Fractal Media
Creators: name: Tarasov, Vasily E.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We suggest a generalization of vector calculus for the case of non-integer dimensional space. The first and second orders operations such as gradient, divergence, the scalar and vector Laplace operators for non-integer dimensional space are defined. For simplification we consider scalar and vector fields that are independent of angles. We formulate a generalization of vector calculus for rotationally covariant scalar and vector functions. This generalization allows us to describe fractal media and materials in the framework of continuum models with non-integer dimensional space. As examples of application of the suggested calculus, we consider elasticity of fractal materials (fractal hollow ball and fractal cylindrical pipe with pressure inside and outside), steady distribution of heat in fractal media, electric field of fractal charged cylinder. We solve the correspondent equations for non-integer dimensional space models.
description: 25 pages, LaTeX
Multi-object model-based multi-atlas segmentation for rodent brains using dense discrete correspondences
Creators: name: Kim, S.H.
name: Styner, M.
name: Lee, J.
Publisher: name: SPIE
Year: 2016

description: The delineation of rodent brain structures is challenging due to low-contrast multiple cortical and subcortical organs that are closely interfacing to each other. Atlas-based segmentation has been widely employed due to its ability to delineate multiple organs at the same time via image registration. The use of multiple atlases and subsequent label fusion techniques has further improved the robustness and accuracy of atlas-based segmentation. However, the accuracy of atlas-based segmentation is still prone to registration errors; for example, the segmentation of in vivo MR images can be less accurate and robust against image artifacts than the segmentation of post mortem images. In order to improve the accuracy and robustness of atlas-based segmentation, we propose a multi-object, model-based, multi-atlas segmentation method. We first establish spatial correspondences across atlases using a set of dense pseudo-landmark particles. We build a multi-object point distribution model using those particles in order to capture inter- and intra- subject variation among brain structures. The segmentation is obtained by fitting the model into a subject image, followed by label fusion process. Our result shows that the proposed method resulted in greater accuracy than comparable segmentation methods, including a widely used ANTs registration tool.
(4281) John Wardle
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.
MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks
Creators: name: Cao, Sicong
name: Sun, Xiaobing
name: Bo, Lili
name: Wu, Rongxin
name: Li, Bin
name: Tao, Chuanqi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Memory-related vulnerabilities constitute severe threats to the security of modern software. Despite the success of deep learning-based approaches to generic vulnerability detection, they are still limited by the underutilization of flow information when applied for detecting memory-related vulnerabilities, leading to high false positives. In this paper,we propose MVD, a statement-level Memory-related Vulnerability Detection approach based on flow-sensitive graph neural networks (FS-GNN). FS-GNN is employed to jointly embed both unstructured information (i.e., source code) and structured information (i.e., control- and data-flow) to capture implicit memory-related vulnerability patterns. We evaluate MVD on the dataset which contains 4,353 real-world memory-related vulnerabilities, and compare our approach with three state-of-the-art deep learning-based approaches as well as five popular static analysisbased memory detectors. The experiment results show that MVD achieves better detection accuracy, outperforming both state-of-theart DL-based and static analysis-based approaches. Furthermore, MVD makes a great trade-off between accuracy and efficiency.
description: To appear in the Technical Track of ICSE 2022
Incorporating 3-dimensional models in online articles
Creators: name: Cevidanes, L.H.S.University of Michigan
name: Pieper, S.
name: Paniagua, B.
name: Jomier, J.
name: Budin, F.
name: Ruellas, A.C.O.
name: Nguyen, T.
name: Styner, M.
Publisher: name: Mosby Inc.
Year: 2015

description: Introduction The aims of this article are to introduce the capability to view and interact with 3-dimensional (3D) surface models in online publications, and to describe how to prepare surface models for such online 3D visualizations. Methods Three-dimensional image analysis methods include image acquisition, construction of surface models, registration in a common coordinate system, visualization of overlays, and quantification of changes. Cone-beam computed tomography scans were acquired as volumetric images that can be visualized as 3D projected images or used to construct polygonal meshes or surfaces of specific anatomic structures of interest. The anatomic structures of interest in the scans can be labeled with color (3D volumetric label maps), and then the scans are registered in a common coordinate system using a target region as the reference. The registered 3D volumetric label maps can be saved in.obj,.ply,.stl, or.vtk file formats and used for overlays, quantification of differences in each of the 3 planes of space, or color-coded graphic displays of 3D surface distances. Results All registered 3D surface models in this study were saved in.vtk file format and loaded in the Elsevier 3D viewer. In this study, we describe possible ways to visualize the surface models constructed from cone-beam computed tomography images using 2D and 3D figures. The 3D surface models are available in the article's online version for viewing and downloading using the reader's software of choice. These 3D graphic displays are represented in the print version as 2D snapshots. Overlays and color-coded distance maps can be displayed using the reader's software of choice, allowing graphic assessment of the location and direction of changes or morphologic differences relative to the structure of reference. The interpretation of 3D overlays and quantitative color-coded maps requires basic knowledge of 3D image analysis. Conclusions When submitting manuscripts, authors can now upload 3D models that will allow readers to interact with or download them. Such interaction with 3D models in online articles now will give readers and authors better understanding and visualization of the results.