Exile Vol. LII No. 1

NOTE: the fiction piece Cerveca Andaluce by Sarah Clapp is incorrectly listed as beginning on page 10 in the published table of contents. It actually begins on page 9. All submissions are reviewed on an anonymous basis, and all editorial decisions are shared equally among the members of the editorial board. -53 Cover Art by Medha Jaishankar: The Heffner View of Chicago -53 Printed by Printing Arts Press -5

Exile Vol. LII No. 2

Title Page 2 Epigraph by Ezra Pound 3 Table of Contents 4 Editor\u27s Note 6 Contributors\u27 Notes 45 Editorial Board 46 ART Wallace Monument by Casey Flax 9 Blind Man by Abbe Wright 18 Untitled by Adrienne Hunter 20 Sentinel by Eric Ahnmark 28 Untitled by Abbe Wright 32 Under Charles by Medha Jaishankar 43 FICTION The Great Lego Wall by Dawson West 12-16 Gods by Nick Wright 21-24 Some Days Hit like Mack Trucks by Sarah Broderick 33-42 POETRY The Liberation from Jack Kerouac by Katie Berta 7-8 Fragmented Grief by Jen Humbert 10 Rauschenberg Painting Iris Clért by Jeremy Heartberg 11 Outgrowing by Sarah Rogers 17 Garden of Eden by Jen Humbert 19 She whispered to the moon by Dave Murrin-von Ebers 25 A Joke by Jeremy Heartberg 26 Retrospective by Casey Flax 27 Ketchup Fetish by Dawson West 29 Winter Raspberries by Jennifer Luebbers 30-31 Knot by Sarah Rogers 44 Editor\u27s Note The process by which Exile comes into being each semester is by no means a quick or simple one, and was further confounded in this instance by having me at its core. I do not necessarily mean to discredit myself ad nauseam as some editors would, but they will all tell you that transitional periods are the toughest on a publication. The collaborative effort of Jeremy Heartberg and Jennifer Humbert over the past several semesters, not to mention the competent and eager editorial staff they have recruited, has seen to it that the transition made in these past few months has not been bulky or awkward, but rather quite seamless. It is appropriate then, that the two of them are both prominently featured in the edition of Exile on which you presently fix your gaze. In recent years, you have benefited from Jeremy\u27s and Jen\u27s dedication to Exile as a whole; this year, enjoy their dedication to the flexibility and nuance of language, to the manipulation of form, to poetry. Jeremy, Jen, Sarah, and Emily, thank you, you will be missed. / April 2006 -6 Front Cover Art by Chris Davis: Reflections / Back Cover Art by Eric Ahnmark: Trucks Only -46 All submissions are reviewed on an anonymous basis, and all editorial decisions are shared equally among the members of the editorial board. -4

ENIGMA-anxiety working group : Rationale for and organization of large-scale neuroimaging studies of anxiety disorders

Altres ajuts: Anxiety Disorders Research Network European College of Neuropsychopharmacology; Claude Leon Postdoctoral Fellowship; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, 44541416-TRR58); EU7th Frame Work Marie Curie Actions International Staff Exchange Scheme grant 'European and South African Research Network in Anxiety Disorders' (EUSARNAD); Geestkracht programme of the Netherlands Organization for Health Research and Development (ZonMw, 10-000-1002); Intramural Research Training Award (IRTA) program within the National Institute of Mental Health under the Intramural Research Program (NIMH-IRP, MH002781); National Institute of Mental Health under the Intramural Research Program (NIMH-IRP, ZIA-MH-002782); SA Medical Research Council; U.S. National Institutes of Health grants (P01 AG026572, P01 AG055367, P41 EB015922, R01 AG060610, R56 AG058854, RF1 AG051710, U54 EB020403).Anxiety disorders are highly prevalent and disabling but seem particularly tractable to investigation with translational neuroscience methodologies. Neuroimaging has informed our understanding of the neurobiology of anxiety disorders, but research has been limited by small sample sizes and low statistical power, as well as heterogenous imaging methodology. The ENIGMA-Anxiety Working Group has brought together researchers from around the world, in a harmonized and coordinated effort to address these challenges and generate more robust and reproducible findings. This paper elaborates on the concepts and methods informing the work of the working group to date, and describes the initial approach of the four subgroups studying generalized anxiety disorder, panic disorder, social anxiety disorder, and specific phobia. At present, the ENIGMA-Anxiety database contains information about more than 100 unique samples, from 16 countries and 59 institutes. Future directions include examining additional imaging modalities, integrating imaging and genetic data, and collaborating with other ENIGMA working groups. The ENIGMA consortium creates synergy at the intersection of global mental health and clinical neuroscience, and the ENIGMA-Anxiety Working Group extends the promise of this approach to neuroimaging research on anxiety disorders

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Cortical and subcortical brain structure in generalized anxiety disorder: findings from 28 research sites in the enigma-anxiety working group

The goal of this study was to compare brain structure between individuals with generalized anxiety disorder (GAD) and healthy controls. Previous studies have generated inconsistent findings, possibly due to small sample sizes, or clinical/analytic heterogeneity. To address these concerns, we combined data from 28 research sites worldwide through the ENIGMA-Anxiety Working Group, using a single, pre-registered mega-analysis. Structural magnetic resonance imaging data from children and adults (5–90 years) were processed using FreeSurfer. The main analysis included the regional and vertex-wise cortical thickness, cortical surface area, and subcortical volume as dependent variables, and GAD, age, age-squared, sex, and their interactions as independent variables. Nuisance variables included IQ, years of education, medication use, comorbidities, and global brain measures. The main analysis (1020 individuals with GAD and 2999 healthy controls) included random slopes per site and random intercepts per scanner. A secondary analysis (1112 individuals with GAD and 3282 healthy controls) included fixed slopes and random intercepts per scanner with the same variables. The main analysis showed no effect of GAD on brain structure, nor interactions involving GAD, age, or sex. The secondary analysis showed increased volume in the right ventral diencephalon in male individuals with GAD compared to male healthy controls, whereas female individuals with GAD did not differ from female healthy controls. This mega-analysis combining worldwide data showed that differences in brain structure related to GAD are small, possibly reflecting heterogeneity or those structural alterations are not a major component of its pathophysiology

Prevalence of Age-Related Macular Degeneration in Europe: The Past and the Future

Purpose Age-related macular degeneration (AMD) is a frequent, complex disorder in elderly of European ancestry. Risk profiles and treatment options have changed considerably over the years, which may have affected disease prevalence and outcome. We determined the prevalence of early and late AMD in Europe from 1990 to 2013 using the European Eye Epidemiology (E3) consortium, and made projections for the future. Design Meta-analysis of prevalence data. Participants A total of 42 080 individuals 40 years of age and older participating in 14 population-based cohorts from 10 countries in Europe. Methods AMD was diagnosed based on fundus photographs using the Rotterdam Classification. Prevalence of early and late AMD was calculated using random-effects meta-analysis stratified for age, birth cohort, gender, geographic region, and time period of the study. Best-corrected visual acuity (BCVA) was compared between late AMD subtypes; geographic atrophy (GA) and choroidal neovascularization (CNV). Main Outcome Measures Prevalence of early and late AMD, BCVA, and number of AMD cases. Results Prevalence of early AMD increased from 3.5% (95% confidence interval [CI] 2.1%–5.0%) in those aged 55–59 years to 17.6% (95%

STIR Software for Tomographic Image Reconstruction

<h1>Summary of changes in STIR release 5.2.0</h1> <p>This version is 100% backwards compatible with STIR 5.0 as far as usage goes. However, there are changes in the output of scatter estimation and ECAT8 normalisation, see below for more information.</p> <h2>Overall summary</h2> <p>Of course, there is also the usual code-cleanup and improvements to the documentation. See also <a href="https://github.com/UCL/STIR/milestone/6">the 5.2 milestone on GitHub</a>.</p> <p>Overall code management and assistance by Kris Thielemans (UCL and ASC). Other main contributors were Daniel Deidda (NPL) and Markus Jehl (Positrigo).</p> <h2>Patch release info</h2> <ul> <li>5.2.0 released 30/10/2023</li> </ul> <h2>Summary for end users (also to be read by developers)</h2> <h3>Bug fixes</h3> <ul> <li>Scatter estimation was setting initial activity image to 1 at set-up, effectively ignoring the initial image, aside from geometric info.</li> <li>Setting SPECTUB resolution model with STIR python or SIRF divided slope by 10 in error. The problem did not occur when set using parameter file</li> </ul> <h3>Changed functionality</h3> <ul> <li>The ECAT8 normalisation (used for the Siemens mMR) code now takes the 4th component <em>axial effects</em> into account. These normalisation factors are therefore different (even up to ~10%). This gives improved axial uniformity in the images. The use of the axial effects can be switched off by adding setting <code>use_axial_effects_factors:=0</code> to the parameter file (see an example in <code>examples/Siemens-mMR/correct_projdata_no_axial_effects.par</code>), or the class member of the same name. In addition, the Siemens normalisation header is now read (using a new class <code>InterfileNormHeaderSiemens</code>) such that hard-coded variables for the Siemens mMR have been removed. Further testing of this functionality is still required however. <a href="https://github.com/UCL/STIR/pull/1182/">PR #1182</a>.</li> <li>Interfile header parsing now correctly identifies keywords that contain a colon by checking for <code>:=</code>.</li> <li>The <code>set_up()</code> method of the ray-tracing projection matrix now skips further processing if it was already called with data of the same characteristics. This will means that any cached data will be re-used, potentially leading to a speed-up when re-using it from Python. <a href="https://github.com/UCL/STIR/pull/1281/">PR #1281</a>.</li> </ul> <h3>New functionality</h3> <ul> <li><p>The <code>Discretised Shape3D</code> shape/ROI has now an extra value <code>label index</code>. For ROIs, this allows using a single volume with multiple ROIs encoded as labels, such as output by ITKSnap and many others. When used as a shape in <code>generate_image</code>, it could be used to extract a single ROI from such a label image. <a href="https://github.com/UCL/STIR/pull/1196/">PR #1196</a>.</p> </li> <li><p>Global variables in SPECTUB have been substituted by class members, such that multiple SPECTUB projectors can be used. <a href="https://github.com/UCL/STIR/pull/1169/">PR #1169</a>.</p> </li> <li><p>Global variables in PinholeSPECTUB have been substituted by class members, such that multiple PinholeSPECTUB projectors can be used. <a href="https://github.com/UCL/STIR/pull/1212/">PR #1212</a>.</p> </li> <li><p>Scatter estimation is now smoothed in axial direction for BlocksOnCylindrical scanners. <a href="https://github.com/UCL/STIR/pull/1172/">PR #1172</a>.</p> </li> <li><p><code>InverseSSRB</code> now works for BlocksOnCylindrical after a rewrite. <a href="https://github.com/UCL/STIR/pull/1172/">PR #1172</a>. /</p> </li> <li><p>Parallelised function <code>set_fan_data_add_gaps_help</code> across segments to reduce computation time. <a href="https://github.com/UCL/STIR/pull/1168/">PR #1168</a>.</p> </li> <li><p>New utility <code>SPECT_dicom_to_interfile</code> which reads a DICOM file with SPECT projection data and extracts the data and writes one or more Interfile 3.3 headers (still somewhat preliminary). <a href="https://github.com/UCL/STIR/pull/1182/">PR #1182</a>.</p> </li> <li><p>The new <code>stir_timings</code> utility is mostly useful for developers, but you could use it to optimise the number of OpenMP threads to use for your data. <a href="https://github.com/UCL/STIR/pull/1237/">PR #1237</a>.</p> </li> <li><p>New classes <code>SegmentIndices</code>, <code>ViewgramIndices</code> and <code>SinogramIndices</code>, used by <code>ProjData</code> related classes, as opposed to having to specify all the elements directly, e.g. in C++</p> <pre><code> auto sinogram = proj_data.get_sinogram(sinogram_indices);</code></pre> <p>This makes these functions more future proof, in particular for TOF. The older functions are now deprecated. Note that as <code>Bin</code> is now derived from <code>ViewgramIndices</code>, instantations of <code>Bin</code> can now be used to specify the indices as well in most places. There is still more work to do here, mostly related to the symmetries. <a href="https://github.com/UCL/STIR/pull/1273/">PR #1273</a>.</p> </li> </ul> <h4>Python (and MATLAB)</h4> <ul> <li>Examples use <code>stir.ProjData.read_from_file</code> as opposed to <code>stir.ProjData_read_from_file</code>. The former is supported since SWIG 3.0, and the <a href="https://swig.org/Doc4.1/Python.html#Python_nn20">default from SWIG 4.1</a>.</li> <li>Addition of <code>DetectionPosition</code> and <code>DetectionPositionPair</code>.</li> <li><code>bin.time_frame_num</code> is now no longer a function in Python, but acts like a variable (as the other <code>Bin</code> members).</li> <li>Addition of <code>RadionuclideDB</code></li> </ul> <h3>New examples</h3> <ul> <li><code>examples/python/construct_projdata_demo.py</code> illustrates constructing a <code>ProjDataInMemory</code></li> </ul> <h3>Changed functionality</h3> <ul> <li>Scatter estimation was resetting the activity image to 1 before each iteration. This led to cases where the reconstructed image (and therefore the scatter estimation) did not converge, especially when using a small number of sub-iterations. Now, the reconstructed image is continuouslu updated between scatter iterations by default. This should also allow users to use less sub-iterations, therefore saving some time for the scatter estimation. The old behaviour can be re-enabled by setting <code>restart_reconstruction_every_scatter_iteration</code> to true either via a parameter file or via the <code>set_restart_reconstruction_every_scatter_iteration()</code> function. <a href="https://github.com/UCL/STIR/pull/1160/">PR #1160</a>.</li> <li>energy resolution functions and keywords have now more documentation. <code>Scanner::check_consistency</code> also checks if the energy resolution is less than 20 (as it is FWHM/reference_energy). <a href="https://github.com/UCL/STIR/pull/1149/">PR #1149</a>.</li> <li>Errors now throw <code>std::runtime_error</code> instead of <code>std::string</code>. <a href="https://github.com/UCL/STIR/pull/1131/">PR #1131</a>.</li> <li>The parameter <code>use_view_offset</code> was removed from the <code>interpolate_projdata</code> functions. View-offset is now always taken into account. <a href="https://github.com/UCL/STIR/pull/1172/">PR #1172</a>.</li> <li>The info, warning and error calls are thread safe now (which makes them slower), and the logging output in <code>distributable.cxx</code> was changed from verbosity 2 (which is the STIR default) to verbosity 3. This is to reduce the default output during iterative reconstructions. <a href="https://github.com/UCL/STIR/pull/1243/">PR #1243</a>.</li> <li>The <code>Succeeded</code> class has a new method <code>bool succeeded()</code> enabling more concise code (avoiding the need for comparing with <code>Succeeded::yes</code> which is especially verbose in Python).</li> <li>The example files for the Siemens mMR now use lower min/max thresholds for the (single) scatter scale. This gives better results, see <a href="https://github.com/UCL/STIR/issues/1163/">Issue #1163</a>. <a href="https://github.com/UCL/STIR/pull/1279/">PR #1279</a>.</li> </ul> <h3>Deprecated functionality and upcoming changes to required tool versions</h3> <ul> <li>The following functions (previously used for upsampling the scatter estimate) have been made obsolete or replaced, and will be removed in STIR version 6.0.0: <code>interpolate_axial_position</code>, <code>extend_sinogram_in_views</code> and <code>extend_segment_in_views</code></li> <li>Constructors/functions in <code>ProjData</code> related classes that explicitly use <code>axial_pos_num</code>, <code>view_num</code> etc in their arguments are now deprecated, and should be replaced by their respective versions that use <code>SegmentIndices</code>, <code>ViewgramIndices</code> or <code>SinogramIndices</code>. The former will not be compatible with TOF information that will be introduced in version 6.0.0.</li> <li>Use of the AVW library to read Analyze files will be removed in 6.0, as this has not been checked in more than 15 years. Use ITK instead.</li> <li>GE VOLPET and IE support will be removed in 6.0, as we have no files to test this, and it's obsolete anyway.</li> <li>STIR version 6.0.0 will require C++ 14 (currently we require C++ 11, but already support C++ 20) and CMake 3.14.</li> </ul> <h3>Build system and dependencies</h3> <ul> <li>CMake 3.12 is now required on Windows.</li> <li>We now use CMake's <a href="https://gitlab.kitware.com/cmake/community/-/wikis/doc/tutorials/Object-Library">OBJECT library feature</a> for the registries. This avoids re-compilation of the registries for every executable and therefore speeds-up building time. Use of STIR in an external project is not affected as long as the recommended practice was followed. This is now documented in the User's Guide. <a href="https://github.com/UCL/STIR/pull/1141/">PR #1141</a>.</li> <li>The <code>error</code> and <code>warning</code> functions are now no longer included from <code>common.h</code> and need to be included manually when used (as was already the case for <code>#include "stir/info.h"</code>). <a href="https://github.com/UCL/STIR/pull/1192/">PR #1192</a>.</li> <li>add .h and .i as dependencies for SWIG generated wrappers to make sure they get rebuild. (Currently adding all .h files, which is too much, but CMake needs a fix before we can do this properly). <a href="https://github.com/UCL/STIR/pull/1218/">PR #1218</a>.</li> </ul> <h3>Changes for developers</h3> <ul> <li>moved all functionality in <code>CListEventCylindricalScannerWithDiscreteDetectors</code> to template class <code>CListEventScannerWithDiscreteDetectors</code> (templated in <code>ProjDataInfoT</code>). This enables re-use for generic/blocksoncylindrical scanners. <a href="https://github.com/UCL/STIR/pull/1222/">PR #1222</a>.</li> <li>rewritten <code>ProjDataInMemory</code> to avoid streams, causing a speed-up of some operations, and removing a limit of total size of 2GB. <a href="https://github.com/UCL/STIR/pull/1260/">PR #1260</a>.</li> </ul> <h3>Known problems</h3> <ul> <li>See <a href="https://github.com/UCL/STIR/labels/bug">our issue tracker</a>.</li> </ul> <h3>Minor (?) bug fixes</h3> <ul> <li>Small change in scatter simulation to how non-arccorrected bins are computed. Added a check in the construction of non-arccorrected projdata that the number of tangential bins is not larger than the maximum non-arccorrected bins. <a href="https://github.com/UCL/STIR/pull/1152/">PR #1152</a>.</li> <li><code>extend_segment_in_views</code> does not handle view offsets correctly and does not work for BlocksOnCylindrical scanners <a href="https://github.com/UCL/STIR/issues/1177/">issue #1177</a>. A new function <code>extend_segment</code> was added that works for Cylindrical and BlocksOnCylindrical and allows extension in tangential and axial direction as well. <a href="https://github.com/UCL/STIR/pull/1172/">PR #1172</a>.</li> <li><code>sample_function_on_regular_grid</code> did not handle offset correctly in all places <a href="https://github.com/UCL/STIR/issues/1178/">issue #1178</a>. <a href="https://github.com/UCL/STIR/pull/1172/">PR #1172</a>.</li> <li>Ray tracing projection for BlocksOnCylindrical scanner geometries contained a bug where some bins were swapped across oblique segments <a href="https://github.com/UCL/STIR/issues/1223/">issue #1223</a>. This sometimes lead to large artifacts in reconstructions. <a href="https://github.com/UCL/STIR/pull/1231/">PR #1231</a>.</li> </ul> <h3>Documentation changes</h3> <ul> <li>Updated the STIR developers guide, which was quite out-of-date w.r.t. C++ features etc.</li> </ul> <h3>recon_test_pack changes</h3> <ul> <li>Updated headers of most images and projection data to avoid warnings.</li> </ul> <h3>Other changes to tests</h3> <ul> <li><code>test_Scanner.cxx</code> tests for energy resolution, <a href="https://github.com/UCL/STIR/pull/1149/">PR #1149</a>.</li> <li>New file <code>test_interpolate_projdata</code>, <a href="https://github.com/UCL/STIR/pull/1141/">PR #1141</a>.</li> </ul>If you use this software, please cite it using the metadata from this file