Imaging Project Research Articles

Solutions of metric problems by the method of plane-parallel movement with the use of three-dimensional modeling system Autodesk Inventor

The article considers an algorithm for constructing a virtual model explaining the use of the plane-parallel displacement method for solving metric problems. One of the main tasks of descriptive geometry is the development of spatial thinking among students, the ability to depict spatial forms on a plane in the form of projections and, conversely, to represent a spatial form using flat images (projections). The use of solid-state models develops the ability to mentally reproduce a spatial image of an object of complex shape according to its drawing. 3D computer methods allow solving and investigating problems that cannot be solved by constructive and analytical methods. An accurate and visual source of information about an object becomes its volumetric model, with the help of which the correct solution of the task in the drawing is formed. The material presented in the article will be useful to all students of technical educational institutions.

Circulating CD31 reflects endothelial activity and is associated with a lower risk for cardiovascular complications

Abstract Background CD31 is a membrane receptor expressed by leucocytes, platelets and endothelial cells. CD31 regulates endothelial leukocyte transmigration and is key in maintaining endothelial homeostasis. An increased endothelial activation is suggested to contribute to atherosclerotic plaque inflammation but studies focusing on CD31 in atherosclerosis have provided evidence for both pro- and anti-atherosclerotic effects. However, which biological processes that are reflected by circulating soluble CD31 (sCD31) in human atherosclerosis remain unknown. Purpose Here, we aimed to explore 1) which biological processes circulating sCD31 reflects in the human atherosclerotic plaque and circulation 2) if sCD31 levels predicts cardiovascular death in individuals with carotid atherosclerosis and 3) if circulating sCD31 is causally associated to coronary artery disease (CAD) and ischemic stroke, in order to investigate its role as a biomarker of atherosclerotic disease and complications. Methods Cardiovascular associated plasma proteins (n=543) and carotid plaque proteins (n=197) were assessed by a proximity extension assay (Olink, SciLife) in the Carotid Plaque Imaging Project biobank. Plaques were phenotyped by immunohistochemistry. CD31 was located by immunofluorescence. Human carotid artery endothelial cells (HCtAECs) were stimulated with IL-6 and TNF-α to assess sCD31 release. National registries were used to identify cardiovascular death during follow up. All patients gave written informed consent. The study was approved by the local ethical review board and followed the declaration of Helsinki. Causal effects for sCD31 on stroke and CAD were examined by Mendelian randomization (MR). Summary statistics for GWAS of circulating CD31, coronary artery disease and stroke were retrieved from the SCALLOP study, the CARDIoGRAMplusC4D and the MEGASTROKE consortia. Results Plasma sCD31 correlated to plaque sCD31, TNF-α, MMP-2, MMP-9 levels and CD68+ plaque area. Plasma sCD31 also correlated to plasma CSF-1, MCP-1 and IL-8 levels. Clustering and enrichment analyses revealed that plasma sCD31 was associated to angiogenesis, cell migration and inflammatory responses. CD31 was pre-dominantly expressed on the plaque endothelium. TNF-α and IL-6 induced HCtAECs sCD31 release in vitro. Furthermore, low levels of circulating sCD31 predicted cardiovascular death and our MR analyses suggested that low circulating sCD31 levels were causally associated with a higher risk of stroke and CAD. Conclusions The present study shows that circulating sCD31 is released from endothelial cells due to inflammatory stimuli and reflects plaque inflammation. However, our follow-up data and MR analyses suggest that circulating sCD31 is associated with a lower risk for cardiovascular complications. This indicates that circulating sCD31 is not only a marker of an inflammatory response but also a marker of a functional endothelium, able to maintain the endothelial homeostasis. Funding Acknowledgement Type of funding sources: Public grant(s) – National budget only. Main funding source(s): The Swedish Society for Medical Research, The Swedish Research Council, Crafoord foundation, The Swedish Society of Medicine, The Swedish Heart and Lung Foundation, The Knut and Alice Wallenberg foundation, the Medical Faculty at Lund University and Region Skåne.

A multidisciplinary Prematurity Research Cohort Study.

Worldwide, 10% of babies are born preterm, defined as a live birth before 37 weeks of gestation. Preterm birth is the leading cause of neonatal death, and survivors face lifelong risks of adverse outcomes. New approaches with large sample sizes are needed to identify strategies to predict and prevent preterm birth. The primary aims of the Washington University Prematurity Research Cohort Study were to conduct three prospective projects addressing possible causes of preterm birth and provide data and samples for future research. Pregnant patients were recruited into the cohort between January 2017 and January 2020. Consenting patients were enrolled into the study before 20 weeks' gestation and followed through delivery. Participants completed demographic and lifestyle surveys; provided maternal blood, placenta samples, and cord blood; and participated in up to three projects focused on underlying physiology of preterm birth: cervical imaging (Project 1), circadian rhythms (Project 2), and uterine magnetic resonance imaging and electromyometrial imaging (Project 3). A total of 1260 participants were enrolled and delivered during the study period. Of the participants, 706 (56%) were Black/African American, 494 (39%) were nulliparous, and 185 (15%) had a previous preterm birth. Of the 1260 participants, 1220 (97%) delivered a live infant. Of the 1220 with a live birth, 163 (14.1%) had preterm birth, of which 74 (6.1%) were spontaneous preterm birth. Of the 1220 participants with a live birth, 841 participated in cervical imaging, 1047 contributed data and/or samples on circadian rhythms, and 39 underwent uterine magnetic resonance imaging. Of the 39, 25 underwent electromyometrial imaging. We demonstrate feasibility of recruiting and retaining a diverse cohort in a complex prospective, longitudinal study throughout pregnancy. The extensive clinical, imaging, survey, and biologic data obtained will be used to explore cervical, uterine, and endocrine physiology of preterm birth and can be used to develop novel approaches to predict and prevent preterm birth.

Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine.

Liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics provides systematic profiling of metabolic. Yet, its applications in precision medicine (disease diagnosis) have been limited by several challenges, including metabolite identification, information loss and low reproducibility. Here, we present the deep-learning-based Pseudo-Mass Spectrometry Imaging (deepPseudoMSI) project (https://www.deeppseudomsi.org/), which converts LC-MS raw data to pseudo-MS images and then processes them by deep learning for precision medicine, such as disease diagnosis. Extensive tests based on real data demonstrated the superiority of deepPseudoMSI over traditional approaches and the capacity of our method to achieve an accurate individualized diagnosis. Our framework lays the foundation for future metabolic-based precision medicine.

A Novel Method for SAR Ship Detection Based on Eigensubspace Projection

Synthetic Aperture Radar (SAR) is a high-resolution radar that operates all day and in all weather conditions, so it has been widely used in various fields of science and technology. Ship detection using SAR images has become important research in marine applications. However, in complex scenes, ships are easily submerged in sea clutter, which cause missed detection. Due to this, strong sidelobes in SAR images generate false targets and reduce the detection accuracy. To solve these problems, a ship detection method based on eigensubspace projection (ESSP) in SAR images is proposed. First, the image is reconstructed into a new observation matrix along the azimuth direction, and the phase space matrix of the reconstructed image is constructed by using the Hankel characteristic, which preliminarily determines the approximate position of the ship. Then, the autocorrelation matrix of the reconstructed image is decomposed by eigenvalue decomposition (EVD). According to the size of the eigenvalues, the corresponding eigenvectors are divided into two parts, which constitute the basis of the ship subspace and the clutter subspace. Finally, the original image is projected into the ship subspace, and the ship data in the ship subspace are rearranged to obtain the precise position of the ship with significantly suppressed clutter. To verify the effectiveness of the proposed method, the ESSP method is compared with other detection methods on four images at different sea conditions. The results show that the detection accuracy of the ESSP method reaches 89.87% in complex scenes. Compared with other methods, the proposed method can extract ship targets from sea clutter more accurately and reduce the number of false alarms, which has obvious advantages in terms of detection accuracy and timeliness.

Evaluating the feasibility of interpretable machine learning for globular cluster detection

Extragalactic globular clusters (GCs) are important tracers of galaxy formation and evolution because their properties, luminosity functions, and radial distributions hold valuable information about the assembly history of their host galaxies. Obtaining GC catalogues from photometric data involves several steps which will likely become too time-consuming to perform on the large data volumes that are expected from upcoming wide-field imaging projects such as Euclid. In this work, we explore the feasibility of various machine learning methods to aid the search for GCs in extensive databases. We use archivalHubbleSpace Telescope data in theF475WandF850LPbands of 141 early-type galaxies in the Fornax and Virgo galaxy clusters. Using existing GC catalogues to label the data, we obtained an extensive data set of 84929 sources containing 18556 GCs and we trained several machine learning methods both on image and tabular data containing physically relevant features extracted from the images. We find that our evaluated machine learning models are capable of producing catalogues of a similar quality as the existing ones which were constructed from mixture modelling and structural fitting. The best performing methods, ensemble-based models such as random forests, and convolutional neural networks recover ∼90−94% of GCs while producing an acceptable amount of false detections (∼6−8%), with some falsely detected sources being identifiable as GCs which have not been labelled as such in the used catalogues. In the magnitude range 22 < m4_g ≤ 24.5 mag, 98−99% of GCs are recovered. We even find such high performance levels when training on Virgo and evaluating on Fornax data (and vice versa), illustrating that the models are transferable to environments with different conditions, such as different distances than in the used training data. Apart from performance metrics, we demonstrate how interpretable methods can be utilised to better understand model predictions, recovering that magnitudes, colours, and sizes are important properties for identifying GCs. Moreover, comparing colour distributions from our detected sources to the reference distributions from input catalogues finds great agreement and the mean colour is recovered even for systems with fewer than 20 GCs. These are encouraging results, indicating that similar methods trained on an informative sub-sample can be applied for creating GC catalogues for a large number of galaxies, with tools being available for increasing the transparency and reliability of said methods.

POS0995 VALIDATION OF THE SPARCC MRI-RETIC E-TOOL FOR INCREASING SCORING PROFICIENCY OF MRI LESIONS IN AXIAL SPONDYLOARTHRITIS

BackgroundThe web-based Spondyloarthritis Research Consortium of Canada (SPARCC) real-time iterative calibration (RETIC) modules for scoring MRI lesions in axial spondyloarthritis (axSpA) have been created by SPARCC developers to enable remote training of readers to appropriately use the SPARCC MRI inflammation and structural damage instruments and to attain adequate scoring proficiency.ObjectivesWe aimed to test the performance of these modules in enhancing scoring proficiency in comparison to SPARCC developers.MethodsThe SPARCCRETIC SIJ inflammation and structural damage modules are each comprised of 50 DICOM axSpA cases with baseline and follow up scans and an online scoring interface based on SIJ quadrants. Continuous visual real-time feedback regarding concordance/discordance of scoring per SIJ quadrant with expert readers is provided by a color-coding scheme. Reliability is assessed in real-time by intra-class correlation coefficient (ICC), ICC data being provided every 10 cases, which are scored until proficiency targets for ICC are attained. In the present exercise, participants (n=15) from the EuroSpA Imaging project were randomized, stratified by reader expertise in scoring with SPARCC, to one of two reader training strategies (groups A and B) that each comprised 3 stages (25 patients per stage, 2 timepoints, blinded to chronology; independent assessment of Inflammatory and structural lesions): Group A. 1. Review of original SPARCC manuscript describing scoring method. 2. Review of PowerPoint summary of SPARCC method plus completion of SPARCCRETIC module. 3. Re-review of PowerPoint summary. Group B. Same 3-step strategy as A except SPARCCRETIC module completed at stage 3. The reliability of scoring was compared to an expert radiologist (SPARCC developer).ResultsVery good scoring proficiency for status and change scores was evident for SPARCC BME even by non-experienced readers with similar levels of reliability irrespective of prior expertise. The beneficial impact of the SPARCCRETIC module on scoring proficiency was most consistently evident for the scoring of structural lesions and for Strategy B, where the impact was evident for all structural lesions, level of reader expertise, and status as well as change scores (Table 1). Scoring proficiency improved the most for the least experienced readers (Figure 1).Table 1.Inter-rater reliability (Status/Change ICC) compared to radiologist SPARCC developerMRI LesionReader expertiseStrategy AStrategy BStage 1 cases (n=25)Stage 2 cases (n=25)Stage 3 cases (n=25)Stage 1 cases (n=25)Stage 2 cases (n=25)Stage 3 cases (n=25)BMENone (n=4)0.91 / 0.940.83/0.820.77/0.780.82/0.880.65/0.820.88/0.90Intermediate (n=6)0.88/0.880.90/0.900.85/0.900.93/0.940.78/0.800.83/0.80Experienced (n=5)0.92/0.940.90/0.880.92/0.930.83/0.880.84/0.900.89/0.89ANKYLOSISNone (n=4)0.86/0.660.83/0.280.86/0.780.66/0.410.69/0.340.88/0.80Intermediate (n=6)0.89/0.570.83/0.370.92/0.810.82/0.680.74/0.470.93/0.84Experienced (n=5)0.96/0.760.93/0.640.94/0.860.97/0.240.83/0.410.91/0.79BACKFILLNone (n=4)-0.08/-0.050.38/0.220.59/0.380.64/0.130.05/-0.090.47/0.27Intermediate (n=6)0.41/0.130.44/0.420.69/0.390.50/0.220.30/0.300.70/0.42Experienced (n=5)0.82/0.380.55/0.400.91/0.640.65/0.240.21/0.260.71/0.30EROSIONNone (n=4)0.13/-0.080.67/0.420.51/0.330.34/0.330.23/0.080.38/0.37Intermediate (n=6)0.42/0.180.56/0.120.51/0.440.33/0.270.45/0.180.53/0.39Experienced (n=5)0.61/0.330.64/0.340.64/0.420.51/0.270.58/0.110.62/0.31FAT METAPLASIANone (n=4)0.62/0.540.30/0.170.57/0.290.43/0.530.38/0.070.83/0.63Intermediate (n=6)0.49/0.380.59/0.300.79/0.510.57/0.780.50/0.420.81/0.47Experienced (n=5)0.75/0.620.81/0.340.91/0.700.84/0.900.56/0.130.78/0.37ConclusionAttaining scoring proficiency for MRI structural lesions in axSpA is difficult but can be consistently improved by using the SPARCCRETIC module, even for experienced readers.Figure 1.Disclosure of InterestsWalter P Maksymowych Speakers bureau: Abbvie, Janssen, Novartis, Pfizer, UCB, Consultant of: Abbvie, Boehringer Ingelheim, Celgene, Eli-Lilly, Galapagos, Novartis, Pfizer, UCB, Grant/research support from: Abbvie, Novartis, Pfizer, UCB, Anna Enevold Fløistrup Hadsbjerg Grant/research support from: Novartis, Mikkel Østergaard Consultant of: AbbVie, BMS, Boehringer-Ingelheim, Celgene, Eli Lilly and Company, Galapagos, Gilead, Hospira, Janssen, Merck, Novartis, Novo, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, UCB, Grant/research support from: AbbVie, BMS, Merck, Celgene, Novartis, Raphael Micheroli: None declared, Susanne Juhl Pedersen Grant/research support from: Novartis, Adrian Ciurea: None declared, Nora Vladimirova Grant/research support from: Novartis, Michael J Nissen Speakers bureau: Eli-Lilly, Janssen, Novartis, Consultant of: Abbvie, Celgene, Eli-Lilly, Janssen, Novartis, Pfizer, Kristyna Bubova: None declared, Stephanie Wichuk: None declared, Manouk de Hooge: None declared, Ashish Jacob Mathew Grant/research support from: Novartis, Karlo Pintaric: None declared, Monika Gregová: None declared, Ziga Snoj: None declared, Marie Wetterslev: None declared, Karel Gorican: None declared, Joel Paschke: None declared, Iris Eshed: None declared, Robert G Lambert Paid instructor for: Novartis

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Communication and Sociological Support of the Image of Russian Regions in the Context of Their Strategic Development

The article is devoted to identifying the features of the formation and promotion of the image of Russian regions in the context of their spatial development strategies. The sociological foundations of the implemented projects and related communication activities are considered. The theoretical and methodological basis of the article is a set of applied sociological studies conducted at the All-Russian and regional levels, including representative surveys in target audiences, expert interviews, focus groups; media sociological studies on electronic systems of automatic media analysis; experimental methods and included observation. The key communication events in the regions were analyzed from the point of view of their influence on public opinion through traditional and new media, as well as the problems of presenting visual components of territorial projects.The most well-known image projects of the 3rd millennium in the subjects of the Russian Federation of different federal districts were selected for the study: Southern (Volgograd region), North Caucasus (Republic of North Ossetia - Alania), Volga (Perm Region), Ural (Chelyabinsk region), Siberian (Omsk region), Far Eastern (Republic of Sakha / Yakutia/): in these projects, the author acted as a leader, participant or expert. Based on the systematization of research, a classification of projects/campaigns for the formation of the reputation of regions within the framework of strategic development is proposed, recommendations for the creation of communication models for their promotion in the internal and external environment are developed.

The Shared Core Resource as a Partner in Innovative Scientific Research: Illustration from an Academic Microscopy Imaging Center.

Core facilities have a ubiquitous and increasingly valuable presence at research institutions. Although many shared cores were originally created to provide routine services and access to complex and expensive instrumentation for the research community, they are frequently called upon by investigators to design protocols and procedures to help answer complex research questions. For instance, shared microscopy resources are evolving from providing access to and training on complex imaging instruments to developing detailed innovative protocols and experimental strategies, including sample preparation techniques, staining, complex imaging parameters, and high-level image analyses. These approaches require close intellectual collaboration between core staff and research investigators to formulate and coordinate plans for protocol development suited to the research question. Herein, we provide an example of such coordinated collaboration between a shared microscopy facility and a team of scientists and clinician-investigators to approach a complex multiprobe immunostaining, imaging, and image analysis project investigating the tumor microenvironment from human breast cancer samples. Our hope is that this example may be used to convey to institute administrators the critical importance of the intellectual contributions of the scientific staff in core facilities to research endeavors.

Sustainable Tourism Destination Image Projection: The Inter-Influences between DMOs and Tourists

With the development of the Web 2.0 era, tourists can freely publish their destination experiences through online travel notes. This enables tourists to become important agents to project tourism destination image (TDI), impacting destination-sustainable development. Previous studies have compared the difference in the images projected by destination management organizations (DMO) and tourists through their published content. However, fewer studies have been done to explore the inter-influences between them on the diachronic process of TDI construction. From the perspective of “circle of representation” this question is researched through a case study of Chiang Mai, Thailand, regarding the market of mainland Chinese tourists. Through interviews and the collection of microblogs from the Thailand National Tourism Bureau and tourists’ travel notes from 2009 to 2021, we found that Chiang Mai has experienced four stages of TDI construction, during which the “Xiao Qingxin” image is evolutionally constructed and formed into the representation circle. The inter-influences between DMO and tourists, as well as the influencing factors in this process, are summarized. Our study supplements a dynamic diachronic analysis of TDI from the constructivism perspective. Relevant management and marketing applications for TDI and destination sustainability in the post-pandemic and Web 2.0 era are also provided.

Interferon regulatory factor-5-dependent CD11c+ macrophages contribute to the formation of rupture-prone atherosclerotic plaques.

AimsInflammation is a key factor in atherosclerosis. The transcription factor interferon regulatory factor-5 (IRF5) drives macrophages towards a pro-inflammatory state. We investigated the role of IRF5 in human atherosclerosis and plaque stability.Methods and resultsBulk RNA sequencing from the Carotid Plaque Imaging Project biobank were used to mine associations between major macrophage associated genes and transcription factors and human symptomatic carotid disease. Immunohistochemistry, proximity extension assays, and Helios cytometry by time of flight (CyTOF) were used for validation. The effect of IRF5 deficiency on carotid plaque phenotype and rupture in ApoE−/− mice was studied in an inducible model of plaque rupture. Interferon regulatory factor-5 and ITGAX/CD11c were identified as the macrophage associated genes with the strongest associations with symptomatic carotid disease. Expression of IRF5 and ITGAX/CD11c correlated with the vulnerability index, pro-inflammatory plaque cytokine levels, necrotic core area, and with each other. Macrophages were the predominant CD11c-expressing immune cells in the plaque by CyTOF and immunohistochemistry. Interferon regulatory factor-5 immunopositive areas were predominantly found within CD11c+ areas with a predilection for the shoulder region, the area of the human plaque most prone to rupture. Accordingly, an inducible plaque rupture model of ApoE−/−Irf5−/− mice had significantly lower frequencies of carotid plaque ruptures, smaller necrotic cores, and less CD11c+ macrophages than their IRF5-competent counterparts.ConclusionUsing complementary evidence from data from human carotid endarterectomies and a murine model of inducible rupture of carotid artery plaque in IRF5-deficient mice, we demonstrate a mechanistic link between the pro-inflammatory transcription factor IRF5, macrophage phenotype, plaque inflammation, and its vulnerability to rupture.

Osteomodulin Gene Expression Is Associated With Plaque Calcification, Stability, and Fewer Cardiovascular Events in the CPIP Cohort.

Stable atherosclerotic plaques are characterized by thick fibrous caps of smooth muscle cells, collagen, and macrocalcifications. Identifying factors of plaque stability is necessary to design drugs to prevent plaque rupture and symptoms. Osteomodulin, originally identified in bones, is expressed by bone synthesizing osteoblasts and involved in mineralization. In the present study, we analyzed osteomodulin expression in human carotid plaques, its link with plaque phenotype, calcification, and future cardiovascular events. Osteomodulin gene expression (OMD; n=82) was determined by RNA sequencing and osteomodulin protein levels by immunohistochemistry (n=45) in carotid plaques obtained by endarterectomy from patients with or without cerebrovascular symptoms from the CPIP (Carotid Plaque Imaging Project) cohort, Skåne University Hospital, Sweden. Plaque components were assessed by immunohistochemistry, RNA sequencing, and multiplex analysis. Patients were followed for cardiovascular events or cardiovascular death during a median of 57 or 70 months, respectively, using national registers. OMD levels were increased in plaques from asymptomatic patients compared to symptomatics. High OMD levels were associated with fewer cardiovascular events during follow-up. OMD correlated positively with smooth muscle α-actin (ACTA2; r=0.73, P=10-13) and collagen (COL1A2; r=0.4, P=0.0002), but inversely with CD68 gene expression (r=-0.67, P=10-11), lipids (r=-0.37, P=0.001), intraplaque hemorrhage (r=-0.32, P=0.010), inflammatory cytokine, and matrix metalloproteinase plaque contents. OMD was positively associated with MSX2 (Msh Homeobox 2) (r=0.32, P=0.003), a marker of preosteoblast differentiation, BMP4 (bone morphogenetic protein) (r=0.50, P=0.000002) and BMP6 (r=0.47, P=0.000007), plaque calcification (r=0.35, P=0.016), and was strongly upregulated in osteogenically stimulated smooth muscle cells, which was further increased upon BMP stimulation. Osteomodulin protein was present in calcified regions. Osteomodulin protein levels were associated with plaque calcification (r=0.41, P=0.006) and increased in macrocalcified plaques. These data show that osteomodulin mRNA and protein levels are associated with plaque calcification in human atherosclerosis. Furthermore, osteomodulin mRNA, but not protein levels, is associated with plaque stability.

Carina High-contrast Imaging Project for massive Stars (CHIPS)

Context.Most massive stars belong to multiple systems, yet the formation process leading to such high multiplicity remains insufficiently understood. To help constrain the different formation scenarios that exist, insights into the low-mass end of the companion mass function of such stars is crucial. However, this is a challenging endeavour as (sub-)solar mass companions at angular separations (ρ) below 1″ (corresponding to 1000–3000 au in nearby young open clusters and OB associations) are difficult to detect due to the large brightness contrast with the central star.Aims.With the Carina High-contrast Imaging Project of massive Stars (CHIPS), we aim to obtain statistically significant constraints on the presence and properties of low-mass companions around massive stars in a previously unreachable observing window (Δmag ≳ 10 atρ ≲ 1″). In the second paper of the series, we focus on the Trumpler 14 cluster, which harbours some of the youngest and most massive O-type stars in the Milky Way.Methods.We obtained VLT-SPHERE observations of seven O-type objects in Trumpler 14 using IRDIFS_EXT mode. These provide us with a 12″ × 12″ field of view (approximately ((3 × 3)×104au) centred on each O star and allow us to search for companions at separations larger than 0″​​.15 (approx. 360 au) and down to magnitude contrast > 10 mag in the near-infrared. We used angular and spectral differential imaging along with Point Spread Function (PSF) fitting to detect sources and measure their flux relative to that of the central object. We then used grids of ATLAS9 and PHOENIX Local Thermodynamic Equilibrium (LTE) atmosphere models combined with (pre-)main-sequence evolutionary tracks to estimate the mass of the detected candidate companions.Results.We detected 211 sources with near-infrared magnitude contrast in the range of 2–12. Given the large surface number density of stars in Trumpler 14, one cannot reliably distinguish between cluster members and genuine companions for most of the detected sources. The closest companion, at only 0″​​.26, is characterised as a 1.4M⊙star with an age of 0.6 Myr, in excellent agreement with previous age estimates for Tr 14. The mass function peaks at about 0.4M⊙and presents a dearth of stars in the 0.5–0.8M⊙mass range compared to previous estimates of the initial mass function in Tr 14. While statistically significant, part of these differences may result from contamination of theK-band fluxes by circumstellar material.Conclusions.SPHERE is clearly suitable to probe the low-mass end of the mass function in the vicinity of massive stars. Follow-up SPHERE observations to obtain the full Y to K spectral energy distribution would allow for better constraints on the masses of the detected sources, and to confirm (or invalidate) the curious mass function that we derived for low-mass stars in the vicinity of the O-type objects in Trumpler 14.

Unexpected Sense of Symmetry Inside the Projection

Aim of this work is to focus on some aspects of symmetry in the light of a projective ap- proach not strictly metrics oriented. What seems to be permitted by etymology, since as we know, more than to metrics itself, the word symmetry refers to relations (syn = together with) by, or, in metrics (metron = measure). Regarding architectural design and construction, despite the dominant idea (and practice) for long mainly based on axial and polar metric mirroring, emphasis on sym- metry as a relationship among components of architectural spaces considered as systems was al- ready at the base of the classic compositional approach. From this side, metric-based symmetry may be seen as a subset of the overall symmetry. Inspiration came from Projective Geometry and its applications to architectural survey and design, where the relationship between space and image gets the stage. And the research question arose: if thousands of images (projections) can be gener- ated from one space (physical or theoretical), is it allowed, and in which way, to look for a ‘sense of symmetry’ inside those interrelated graphic representations? Answering this question would have implied thinking about symmetry as a transformation in a wider sense and going beyond the classic Euclidean borders according to the modern concept of space. Then we entered the projec- tive world looking at its relational more than metric side, where homology seemed to offer a valid vessel to sail onboard.

Optimal Time Selection for ISAR Imaging of Ship Target via Novel Approach of Centerline Extraction With RANSAC Algorithm

Optimal time selection for inverse synthetic aperture radar imaging of ship target is significant for the determination of image project plane, and the performance of it is dependent on the accuracy of ship centerline extraction. In this article, a novel optimal time selection method based on the random sample consensus (RANSAC) technique is proposed, which can extract the ship centerline with high accuracy in the case of ship superstructure and low signal to noise ratio. First, a necessary distance threshold is determined for the RANSAC algorithm combined with the ship body width estimation. Then, a novel cost function is proposed according to the amplitude characteristic of radar image, which can alleviate the influence of randomness. Finally, the robustness of the optimal time selection method is demonstrated by the results of simulated and real measured data.

Automated segmentation of microtomography imaging of Egyptian mummies.

Propagation Phase Contrast Synchrotron Microtomography (PPC-SRμCT) is the gold standard for non-invasive and non-destructive access to internal structures of archaeological remains. In this analysis, the virtual specimen needs to be segmented to separate different parts or materials, a process that normally requires considerable human effort. In the Automated SEgmentation of Microtomography Imaging (ASEMI) project, we developed a tool to automatically segment these volumetric images, using manually segmented samples to tune and train a machine learning model. For a set of four specimens of ancient Egyptian animal mummies we achieve an overall accuracy of 94–98% when compared with manually segmented slices, approaching the results of off-the-shelf commercial software using deep learning (97–99%) at much lower complexity. A qualitative analysis of the segmented output shows that our results are close in terms of usability to those from deep learning, justifying the use of these techniques.

SYSTEMATIZATION OF INTERNATIONAL AND DOMESTIC EXPERIENCE IN PROJECT MANAGEMENT AIMED AT ADAPTING PUBLIC-PRIVATE PARTNERSHIPS TO THE IMPLEMENTATION OF SUSTAINABLE ENERGY DEVELOPMENT PROGRAMS

European countries are recognized leaders in the use of public-private partnerships in project management for large-scale infrastructure projects, including those that contribute to energy efficiency in various sectors of the economy. Their experience is a useful example for Ukraine in its quest for energy independence and economic stability. Establishing partnerships with business will increase the resources of the state and promote the involvement of the private sector in the implementation of profitable and image projects for both stakeholders. The development of mechanisms and recommendations for the development of public-private partnership (PPP) should be preceded by an analysis of international experience in creating a favorable and attractive environment in which public-private partnerships can be intensified. Since energy efficiency is the key to the successful functioning of the economy of any state, it is necessary, creating the conditions for the successful functioning of public-private partnership, to develop programs and projects to improve energy efficiency, which will be implemented under the PPP on a priority basis.

X-ray grating interferometry design for the 4D GRAPH-X system

The 4D GRAPH-X (Dynamic GRAting-based PHase contrast x-ray imaging) project aims at developing a prototype of an x-ray grating-based phase-contrast imaging scanner in a laboratory setting, which is based on the Moirè single-shot acquisition method in order to be optimized for analysing moving objects (in the specific case, a dynamic thorax phantom), that could evolve into a suitable tool for biomedical applications although it can be extended to other application fields. When designing an x-ray Talbot-Lau interferometer, high visibility and sensitivity are two important figures of merit, strictly related to the performance of the system in obtaining high quality phase contrast and dark-field images. Wave field simulations are performed to optimize the setup specifications and construct a high-resolution and high-sensitivity imaging system. In this work, the design of a dynamic imaging setup using a conventional milli-focus x-ray source is presented. Optimization by wave front simulations leads to a symmetric configuration with 5.25 μm pitch at third Talbot order and 45 keV design energy. The simulated visibility is about 22%. Results from GATE based Monte Carlo simulations show a 19% transmission percentage of the incoming beam into the detector after passing through all the gratings and the sample. Such results are promising in view of building a system optimized for dynamic imaging.

X-ray differential phase-contrast imaging simulations with Geant4

The development of accurate simulation tools including x-ray phase-contrast effects is of great use in the design and optimization of x-ray phase-contrast imaging (XPCI) experimental setups. When the lateral coherence of the imaging system is limited, as in most compact laboratory-based XPCI applications, phase-contrast can be effectively described through refraction effects that can be simulated with a ray-tracing approach. This work presents a practical implementation of the x-ray phase-contrast in Geant4 and validates the simulation results against theoretical predictions for the propagation-based (PB) and edge-illumination (EI) imaging configurations. The simulation includes a realistic polychromatic tungsten anode spectrum and an extended x-ray source, a virtual phantom made of plastic wires with a diameter of 1 mm, as well as an accurate description of the absorbing masks and related movement during data acquisition. Results show a good agreement between theory and simulations, with maximum discrepancies below 2% in the intensity of PB images, below 0.3 µrad for EI refraction, and below 0.03 mm for EI projected thickness. Additionally, an often disregarded effect such as the refraction sensitivity inhomogeneity across the field of view (around 20%) was reproduced by the simulation and quantitatively explained through a theoretical model. The presented simulation platform will be extensively used for the design of a novel EI facility that is under construction at the INFN laboratories in Trieste (Italy) in the framework of the Photon-counting Edge-illumination Phase-contrast Imaging (PEPI) project.