scholarly journals Support for "cub" image format

2006 ◽  
Author(s):  
Pablo Burstein ◽  
Paul Yushkevich ◽  
James Gee

VoxBo (www.voxbo.org) is a distributed processing framework, developed at the Center of Functional Neuroimaging at the University of Penssylvania, with the purpose of processing and analyzing brain functional MRI data. VoxBo is written in C++, and it is escentially a fair translation of some SPM functionality, originally written in Matlab. Along with the software, VoxBo defines two new image formats: 1) .cub, a 3D image format, used for anatomical data and single EPI frames. It is important to notice that this format defines a proper origin field, lacking, for instance, in Analyze. 2) .tes, a 4D image format, designed to contain the temporal EPI information. It is worth noticing that this format organizes the voxels in such a way to optimize longitudinal (temporal) voxel access. Furthermore, the tes format is compressed through encoding of the functional voxels alone, i.e., background voxels are not stored for each frame, but only for the first one.In this work we present the necessary IO classes that allow ImageFileReader and ImageFileWriter to properly identify, read and write .cub files only. We will provide .tes support in a subsequent work. This effort is carried out with the purpose of letting VoxBo implementors to take advantage of ITK’s power and overcome the limitations currently afflicting VoxBo.

1888 ◽  
Vol 9 ◽  
pp. 149-174
Author(s):  
D. G. Hogarth

The movement in favour of organised research in Cyprus which, originating in the latter part of the summer of 1887, led before the end of the year to the formation of a Fund directed by a Committee comprising all those who are most prominent in supporting the study of Classical Archaeology in this country, has been set forth already in circulars and reports, and needs only a brief allusion here in order to explain the causes and conditions of our subsequent work at Old Paphos and other sites in the winter and spring of this year. In the early mouths of 1887, Dr. F. H. H. Guillemard, the well-known traveller and ornithologist, spent a considerable time in Cyprus, and in the less known parts of the island saw and heard so much of continual discoveries, legitimate and illegitimate, that, on his return to England, he lost no time in pressing the desirability of sending an expedition on many who were interested in matters archaeological, with the result that the University of Cambridge took into consideration the question of making a grant from the Worts Travelling Bachelor's Fund for that purpose. The Society for the Promotion of Hellenic Studies was also sounded, and many circumstances conspired to induce their favourable consideration for such a proposal. Besides the valuable information communicated by Dr. Guillemard, it was known that the High Commissioner of Cyprus had resolved for sufficient reasons, which need not be detailed here, to discountenance in future all private exploration in the island, but at the same time had declared his willingness to help any work organised and conducted by a recognised scientific body: it resulted therefore that, unless such bodies undertook the task, no one would attempt to solve the many problems connected with the island for some years to come.


Author(s):  
Gordon Alexander

Neill Alexander graduated in natural sciences at the University of Cambridge in 1955. After a PhD at Cambridge and a lecturership at the University College of North Wales in Bangor, he was appointed to the chair of the Department of Pure and Applied Zoology at the University of Leeds in 1969. At that stage, he switched his research interests abruptly from fishes to the mechanics of legged locomotion. He conducted experiments with a variety of mammals, calculating forces, stresses and strains in muscle fibres, bones and tendons. His speciality became the application of mathematical models to animal locomotion, including repurposing the Froude number, devised by the Victorian engineer William Froude (FRS 1870) for use with ships, to estimate the speed of dinosaurs based on the spacing of their fossil footprints. Subsequent work included modelling the optimization of mammal performance and the minimization of energy costs. In 1992, following an announcement that London Zoo would have to close as a result of shortage of funds, Neill was appointed secretary of the Zoological Society of London. During the period of his secretaryship, the Society's finances recovered, with both its zoos (London and Whipsnade) breaking even in 1993 and the Society returning a surplus in each subsequent year. Neill was awarded the CBE in 2000. The National Portrait Gallery holds his portrait by John Arnison.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 509-509
Author(s):  
Thomas Tannou

Abstract Assessment of decision-making capacity is essential to respect older adult dignity, particularly concerning major decision such as ageing in place. To date, it is the clinician's assessment, based on a global analysis of his clinical evaluation and neuropsychological tasks, which enables decision-making assessment. Given the difficulty it represents, and the ethical and societal issues raised, the research question concerns the contribution of neuro-imaging technologies as an aid to the evaluation of decision-making capacity. We included in our proof-of-concept study 4 healthy older patients and 2 older patients with dementia (mild stage) followed in a memory clinic. Each of the participants completed neuropsychological tests with a focus on executive functions, anosognosia and judgemental skills. Next, they performed a decision-making task, the Balloon Assessment Risk Task (BART) in functional MRI, and, finally, they participated in a semi-structured interview completed with interview of their caregiver. For both patients, their referring geriatrician was questioned a priori on his assessment of their decision-making capacity. The results showed a common activation pattern in functional MRI between the patient considered competent in decision-making and the healthy subjects, unlike the patient who was not clinically competent. The qualitative analysis highlighted major anosognosia in both pathological situations, but decision-making in everyday life situations differed between the 2 patients. This study shows the feasibility, on a sensitive topic, to explore the potential contribution of functional neuroimaging and semi-directed interviews as tools. It also demonstrates the value of conducting mixed research, combining neurosciences and social science to explore complex clinical issues.


2015 ◽  
Vol 2 (3) ◽  
pp. 170
Author(s):  
Ade Jamal ◽  
Denny Hermawan ◽  
Muhammad Nugraha

<p class="Default"><em>Abstrak</em> – <strong>T</strong><strong>elah dilakukan penelitian tentang </strong><strong>pengolahan terdistribusi data genbank menggunakan <em>Hadoop Distributed Filesystem </em>(HDFS) dengan tujuan mengetahui efektifitas pengolahan data genbank khususnya pada pencarian sequens dengan data masukan yang berukuran besar.</strong><strong> Penelitian dilakukan di </strong><strong>L</strong><strong>aboratorium </strong><strong>Jaringan Universitas Al Azhar Indonesia dengan menggunakan 6 komputer dan satu <em>server</em> dimana dalam <em>Hadoop</em> menjadi 7 <em>node</em> dengan rincian 1 <em>namenode</em>, 7 <em>datanode</em>, 1 secondary <em>namenode</em>. Dengan eksperimen HDFS menggunakan 1 <em>node</em>, 2 <em>node</em>, 4 <em>node</em>, 6 <em>node</em>, dan 7 <em>node</em> dibandingkan dengan <em>Local Filesystem</em>. Hasil menunjukan proses pencarian sequens data genbank menggunakan 1 – 7 <em>node</em> pada skenario eksperimen pertama dengan <em>output</em> yang menampilkan hasil 3 <em>field</em> <em>(Locus, Definition, </em>dan<em> Authors</em>), skenario eksperimen kedua dengan <em>output</em> yang menampilkan hasil 3 <em>field</em> <em>(Locus, Authors, </em>dan<em> Origin)</em>, dan skenario eksperimen ketiga menggunakan HDFS dan LFS dengan <em>output</em> yang menampilkan seluruh <em>field</em> yang terdapat dalam data genbank (</strong><strong><em>Locus, Definition, Accesion, Version, Keywords, Source, Organism, Reference, Authors, Title, Journal, Pubmed, Comment, Features, </em></strong><strong>dan<em> Origin</em></strong><strong>). Evaluasi menunjukan bahwa proses pencarian sequens data genbank menggunakan HDFS dengan 7 <em>node</em> adalah 4 kali lebih cepat dibandingkan dengan menggunakan 1 <em>node</em>. Sedangkan perbedaan waktu pada penggunaan HDFS dengan 1 <em>node</em> adalah 1.02 kali lebih cepat dibandingkan dengan <em>Local Filesystem</em> dengan 4 <em>core</em> <em>processor</em>.</strong></p><p class="Default"><strong> </strong></p><p><em>Abstract </em><strong>- A research on distributed processing of GenBank data using Hadoop Distributed File System GenBank (HDFS) in order to know the effectiveness of data processing, especially in the search sequences with large input data. Research conducted at the Network Laboratory of the University of Al Azhar Indonesia using 6 computers and a server where the Hadoop to 7 nodes with details 1 namenode, 7 datanode, 1 secondary namenode. With HDFS experiments using 1 node, node 2, node 4, node 6, and 7 nodes compared with the Local Filesystem. The results show the search process of data GenBank sequences using 1-7 nodes in the first experiment scenario with an output that displays the results of 3 fields (Locus, Definition, and Authors), a second experiment scenario with an output that displays the results of 3 fields (Locus, Authors, and Origin) , and the third experiment scenarios using HDFS and LFS with output that displays all the data fields contained in GenBank (Locus, Definition, Accesion, Version, Keywords, Source, Organism, Reference, Authors, Title, Journal, Pubmed, Comment, Features, and Origin). Evaluation shows that the search process of data GenBank sequences using HDFS with 7 nodes is 4 times faster than using one node. While the time difference in the use of HDFS with one node is 1:02 times faster than the Local File System with 4 core processor.</strong></p><p><strong><em> </em></strong></p><p><strong><em></em></strong><strong><em>Keywords </em></strong><em>–  genbank, sequens, distributed computing, Hadoop, HDFS</em></p>


Author(s):  
Ofelia Esparza ◽  
Rosanna Esparza Ahrens

On March 1, 2019, the Transformative Arts Network at the University of California, Santa Barbara, held a two-day “Art, Activism, and Imagination” symposium. One memorable and infinitely generative part of the symposium came at the start of the second session, which was dedicated to the collaborative work between artists affiliated with the Alliance for California Traditional Arts and the Building Healthy Communities project in Boyle Heights in East Los Angeles. Altar makers Ofelia Esparza (a National Endowment for the Arts Heritage Fellow) and her daughter Rosanna Esparza Ahrens (graphic designer and cofounder of the artist collective Tonalli Studio—A Place of Creative Wellness) began the afternoon with an instructional session on “how to arrive” followed by a presentation about their work as altaristas. As participants gathered on a verdant lawn next to a peaceful lagoon near the ocean, the altar makers burned sage and spoke about our obligations at a meeting convened on unceded Indigenous land. Rosanna outlined the four-part process that has guided the process of making altars. This consists of (1) arriving with full awareness of ourselves, our ancestors, and the powers of the natural world; (2) connecting fully with the natural and human world; (3) making agreements for collective conduct; and (4) affirming the possibilities produced by our collective practice. This process guided all the subsequent deliberations of the symposium and has informed much of the subsequent work that has emanated from it. One reason for its impact and influence stems from the extraordinary presentation about altar making that Ofelia and Rosanna presented, which enacted the ideals that the four parts of “learning to arrive” envision. With their permission, we reprint here a transcript of part of their inspiring and enlightening presentation.


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