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International audience; The association of left ventricular ejection fraction (LVEF) with procedural and long-term outcomes after state-of-the-art percutaneous coronary intervention (PCI) of bifurcation lesions remains unsettled. A total of 5,333 patients who underwent contemporary coronary bifurcation PCI were included in the intercontinental retrospective combined insights from the unified RAIN (veRy thin stents for patients with left mAIn or bifurcatioN in real life) and COBIS (COronary BIfurcation Stenting) III bifurcation registries. Of 5,003 patients (93.8%) with known baseline LVEF, 244 (4.9%) had LVEF

This experiment proposes three innovations to the pioneering experimental research on Future Design. First, it adopts a fully computerized laboratory experiment. Second, while the aggregate effects of decisions still loom over the next groups in the experimental flow, decisions are here made individually. Third, the Future Design protocol is rendered in a more symmetric and institutionalized way: each member of a generation (group) is asked to imagine that she belongs to the next generation (group) and to send a short message to her peers on behalf of such an imaginary future self. In addition, we investigate the effects of different ways of eliciting the guiding principle that a group should follow by having each group member choose between two statements about the importance of striving for sustainability or not. We examine this aspect in two treatment protocols characterized by the presence or absence of the Rawlsian veil of ignorance (i.e., participants do not know to which generation they belong).

Aggregating pharmaceutical data in the drug-target interaction (DTI) domain has the potential to deliver life-saving breakthroughs. It is, however, notoriously difficult due to regulatory constraints and commercial interests. This work proposes the application of federated learning, which we argue to be reconcilable with the industry's constraints, as it does not require sharing of any information that would reveal the entities' data or any other high-level summary of it. When used on a representative GraphDTA model and the KIBA dataset it achieves up to 15% improved performance relative to the best available non-privacy preserving alternative. Our extensive battery of experiments shows that, unlike in other domains, the non-IID data distribution in the DTI datasets does not deteriorate FL performance. Additionally, we identify a material trade-off between the benefits of adding new data, and the cost of adding more clients., Comment: Published at the ACM Web Conference 2023

This work aims at distilling a systematic methodology to modernize existing sequential scientific codes with a little re-designing effort, turning an old codebase into modern code, i.e., parallel and robust code. We propose a semi-automatic methodology to parallelize scientific applications designed with a purely sequential programming mindset, possibly using global variables, aliasing, random number generators, and stateful functions. We demonstrate that the same methodology works for the parallelization in the shared memory model (via OpenMP), message passing model (via MPI), and General Purpose Computing on GPU model (via OpenACC). The method is demonstrated parallelizing four real-world sequential codes in the domain of physics and material science. The methodology itself has been distilled in collaboration with MSc students of the Parallel Computing course at the University of Torino, that applied it for the first time to the project works that they presented for the final exam of the course. Every year the course hosts some special lectures from industry representatives, who present how they use parallel computing and offer codes to be parallelized.

Recent trends in hard X-ray micro-computed tomography (microCT) aim at increasing both spatial and temporal resolutions. These challenges require intense photon beams. Filtered synchrotron radiation beams, also referred to as `pink beams', which are emitted by wigglers or bending magnets, meet this need, owing to their broad energy range. In this work, the new microCT station installed at the biomedical beamline ID17 of the European Synchrotron is described and an overview of the preliminary results obtained for different biomedical-imaging applications is given. This new instrument expands the capabilities of the beamline towards sub-micrometre voxel size scale and simultaneous multi-resolution imaging. The current setup allows the acquisition of tomographic datasets more than one order of magnitude faster than with a monochromatic beam configuration.

We study the priming effects of different types of information about the Covid-19 pandemic on individuals’ pro-sociality and predictions about the 2020 economic growth and environment quality. We conduct an online incentivised experiment on Prolific.

BACKGROUND Since March 2020, the need to reduce patients’ exposure to COVID-19 resulted in a large-scale pivot to telehealth service delivery. While studies report that pregnant women have been generally satisfied with their prenatal telehealth experiences during the pandemic, less is known about telehealth satisfaction among postpartum women. OBJECTIVE The present study examined telehealth satisfaction among both pregnant and recently pregnant women during the COVID-19 pandemic, to determine whether demographic factors (i.e., race, age, marital status, education level, household income, employment status) are associated with telehealth satisfaction in this population. METHODS A web-based cross-sectional survey designed to capture data on health-related behaviors and healthcare experiences of pregnant and recently pregnant women in the U.S. was disseminated in Spring 2022. Eligible participants were at least 18 years old, identified as a woman, were currently pregnant or had been pregnant in the last three years. RESULTS In the final analytic sample of N=403, the mean telehealth satisfaction score was 3.97±0.66 (score range 1-5). In adjusted linear regression models, being age 35-44 years (vs. 18-24 years), having an annual income of ≥100,000 USD (vs. CONCLUSIONS Although perinatal women are generally satisfied with telehealth, disparities exist. It is critical that public health policies/programs consider these factors, especially if the expanded use of telehealth is to persist beyond the pandemic.

Simplified food labels, such as the Nutriscore or Health Star Rating, were introduced with the goal of helping consumers make more informed choices for their health. Several studies have shown that they do indeed help consumers distinguish between healthy and less healthy foods. But no study has shown whether these labels induce consumers to make also less healthy choices, in some circumstances. Our study highlights a potential distorting effect of food labels. Most of the studies conducted to date on the impact of food labels have shown that when they are present, people understand better whether the product is healthier or not. Also, if consumers have to choose the healthiest product, having a simplified food label certainly makes the task of choice easier and more accurate. But in everyday life, consumers might be faced with a trade-off between healthiness and attractiveness. For example, choosing between a more healthy but less attractive food vs. a less healthy but more attractive food. No study to date has examined this situation of choice marked by "temptation". We do. Moreover, unlike most previous studies, in our study, the aim is to show that, in some circumstances, the label distorts choice in a paradoxical way, i.e., that it drives the consumer to choose the less healthy food.

Summary Background The accuracy of current prediction tools for ischaemic and bleeding events after an acute coronary syndrome (ACS) remains insufficient for individualised patient management strategies. We developed a machine learning-based risk stratification model to predict all-cause death, recurrent acute myocardial infarction, and major bleeding after ACS. Methods Different machine learning models for the prediction of 1-year post-discharge all-cause death, myocardial infarction, and major bleeding (defined as Bleeding Academic Research Consortium type 3 or 5) were trained on a cohort of 19 826 adult patients with ACS (split into a training cohort [80%] and internal validation cohort [20%]) from the BleeMACS and RENAMI registries, which included patients across several continents. 25 clinical features routinely assessed at discharge were used to inform the models. The best-performing model for each study outcome (the PRAISE score) was tested in an external validation cohort of 3444 patients with ACS pooled from a randomised controlled trial and three prospective registries. Model performance was assessed according to a range of learning metrics including area under the receiver operating characteristic curve (AUC). Findings The PRAISE score showed an AUC of 0·82 (95% CI 0·78–0·85) in the internal validation cohort and 0·92 (0·90–0·93) in the external validation cohort for 1-year all-cause death; an AUC of 0·74 (0·70–0·78) in the internal validation cohort and 0·81 (0·76–0·85) in the external validation cohort for 1-year myocardial infarction; and an AUC of 0·70 (0·66–0·75) in the internal validation cohort and 0·86 (0·82–0·89) in the external validation cohort for 1-year major bleeding. Interpretation A machine learning-based approach for the identification of predictors of events after an ACS is feasible and effective. The PRAISE score showed accurate discriminative capabilities for the prediction of all-cause death, myocardial infarction, and major bleeding, and might be useful to guide clinical decision making. Funding None.

This paper reviews recent cardiology literature and reports how artificial intelligence tools (specifically, machine learning techniques) are being used by physicians in the field. Each technique is introduced with enough details to allow the understanding of how it works and its intent, but without delving into details that do not add immediate benefits and require expertise in the field. We specifically focus on the principal Machine learning based risk scores used in cardiovascular research. After introducing them and summarizing their assumptions and biases, we discuss their merits and shortcomings. We report on how frequently they are adopted in the field and suggest why this is the case based on our expertise in machine learning. We complete the analysis by reviewing how corresponding statistical approaches compare with them. Finally, we discuss the main open issues in applying machine learning tools to cardiology tasks, also drafting possible future directions. Despite the growing interest in these tools, we argue that there are many still underutilized techniques: while neural networks are slowly being incorporated in cardiovascular research, other important techniques such as semi-supervised learning and federated learning are still underutilized. The former would allow practitioners to harness the information contained in large datasets that are only partially labeled, while the latter would foster collaboration between institutions allowing building larger and better models.

K-edge subtraction (KES) imaging is a technique able to map a specific element such as e.g. a contrast agent within the tissues, by exploiting the sharp rise of its absorption coefficient at the K-edge energy. Whereas mainly explored at synchrotron radiation sources, the energy discrimination properties of modern x-ray photon counting detectors (XPCDs) pave the way for an implementation of single-shot KES imaging with conventional polychromatic sources. In this work we present an x-ray CT imaging system based on the innovative Pixie-III detector and discrete reconstruction. The results reported here show that a reliable automatic localization of Barium (above a certain concentration) is possible with a few dozens of tomographic projections for a volume having an axial slice of 512 [Formula: see text] 512 pixels. The final application is a routine high-fidelity 3D mapping of a specific element ready for further morphological quantification by means of x-ray CT with potential promising applications in vivo.

A crucial issue in the development of therapies to treat pathologies of the central nervous system is represented by the availability of non-invasive methods to study the threedimensional morphology of spinal cord, with a resolution able to characterize its complex vascular and neuronal organization. X-ray phase contrast micro-tomography enables a highquality, 3D visualization of both the vascular and neuronal network simultaneously without the need of contrast agents, destructive sample preparations or sectioning. Until now, high resolution investigations of the post-mortem spinal cord in murine models have mostly been performed in spinal cords removed from the spinal canal. We present here post-mortem phase contrast micro-tomography images reconstructed using advanced computational tools to obtain high-resolution and high-contrast 3D images of the fixed spinal cord without removing the bones and preserving the richness of micro-details available when measuring exposed spinal cords. We believe that it represents a significant step toward the in-vivo application. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

We investigate the effects of an institutional mechanism that incentivizes taxpayers to blow the whistle on collusive corruption and tax compliance. We explore this through a formal leniency program. In our experiment, we nest collusive corruption within a tax evasion framework. We not only study the effect of the presence of such a mechanism on behavior, but also the dynamic effect caused by the introduction and the removal of leniency. We find that in the presence of a leniency mechanism, subjects collude and accept bribes less often while paying more taxes, but there is no increase in bribe offers. Our results show that the introduction of the opportunity to blow the whistle decreases the collusion and bribe acceptance rate, and increases the collected tax yield. It also does not encourage bribe offers. In contrast, the removal of the institutional mechanism does not induce negative effects, suggesting a positive spillover effect of leniency that persists even after the mechanism has been removed.

We propose a novel experimental design aimed at investigating whether inducing individuals to use certain choice procedures has an effect on the outcome of their decision. Specifically, by implementing a modification of the mouse-tracing method, we induce subjects to use either alternative-based or characteristic-based search procedures in a between-subject lottery-choice experiment. We find that encouraging subjects to search by characteristic systematically makes them choose riskier options. Consistently with existing literature, our evidence indicates that individuals typically look up information within alternatives. However, when induced to search by characteristic, high prizes receive more attention, leading individuals to switch to non-compensatory heuristics and – consequently – make riskier choices. Our findings are robust to variations in the complexity of the choice problem and individual differences in risk-attitudes, CRT scores, and gender.

Background Since March 2020, the need to reduce patients’ exposure to COVID-19 has resulted in a large-scale pivot to telehealth service delivery. Although studies report that pregnant women have been generally satisfied with their prenatal telehealth experiences during the pandemic, less is known about telehealth satisfaction among postpartum women. Objective This study examined telehealth satisfaction among both pregnant and recently pregnant women during the COVID-19 pandemic, to determine whether demographic factors (ie, race, age, marital status, education level, household income, and employment status) are associated with telehealth satisfaction in this population. Methods A web-based cross-sectional survey designed to capture data on health-related behaviors and health care experiences of pregnant and recently pregnant women in the United States was disseminated in Spring 2022. Eligible participants were at least 18 years old, identified as a woman, and were currently pregnant or had been pregnant in the last 3 years. Results In the final analytic sample of N=403, the mean telehealth satisfaction score was 3.97 (SD 0.66; score range 1-5). In adjusted linear regression models, being aged 35-44 years (vs 18-24 years), having an annual income of ≥ US $100,000 (vs < US $50,000), and being recently (vs currently) pregnant were associated with greater telehealth satisfaction (P≤.049). Conclusions Although perinatal women are generally satisfied with telehealth, disparities exist. Specifically, being aged 18-24 years, having an annual income of < US $50,000, and being currently pregnant were associated with lower telehealth satisfaction. It is critical that public health policies or programs consider these factors, especially if the expanded use of telehealth is to persist beyond the pandemic.

We present data from an implementation of Edge Illumination (EI) that uses a detector aperture designed for increasing dynamic range, suitable for clinically relevant X-ray energies and demonstrated here using synchrotron radiation. By utilising a sufficiently large crosstalk between pixels, this implementation enables single-scan imaging for phase and absorption, and double-scan for phase, absorption and dark field imaging. The presence of the detector mask enables a direct comparison between conventional EI and beam tracking (BT), which we conduct through Monte Carlo and analytical modelling in the case of a single-scan being used for the retrieval of all three contrasts. In the present case, where the X-ray beam width is comparable to the pixel size, we provide an analysis on best-positioning of the beam on the detector for accurate signal retrieval. Further, we demonstrate an application of this method by distinguishing different concentrations of microbubbles via their dark field signals at high energy using an EI system.

Several complementary methods able to visualize the internal structures of eyes are used in the clinical practice in the diagnosis of pathologies affecting a specific zone of the eye. Despite the significant technological progress, the visualization of the entire eyeball at micrometric resolution is yet an unsolved task both in clinical diagnostics and in laboratory research. With this respect, high resolution 3D images of the eyeball would be extremely useful, in the study of various pathologies of the retina, the lens, and of the optic nerve. In this work we combined the state-of-the-art of micro computed tomography technology with phase-contrast imaging, a recent highly sensitive technique well adapted to investigate soft tissues without the use of contrast agents; we applied the technique in the post-mortem analysis of monkey eyes, which share several similitudes with the human organ. We reported here vascular, nervous and anatomical details of monkey eyes imaged with a 3.1 × 3.1 × 3.1 µm3 voxel size as well as the first 3D visualisation of the entire globe of Macaca’s fascicularis eye. Results have also been compared with, and validated by, histological analysis.

We analyzed decision making under risk in a group of 50 poor individuals and a group of 50 rich individuals from the city of Lima, Peru, using the Columbia Card Task game. Contrary to the decisions of the rich, the decisions of the poor were insensitive to changes in the magnitude of potential losses: the risk taking of the poor did not increase when potential losses were low compared to when they were high. The decisions of the poor were also significantly less sensitive to changes in the probability of potential losses, compared to those of the rich. On the contrary, similarly to the decisions of the rich, the decisions of the poor were significantly sensitive to changes in the gain amount: risk taking was higher when the gain amount was higher than when it was lower. The rich sample from Lima showed a similar pattern of risk-taking behavior as other non-poor populations from previous studies. Furthermore, the poor scored higher on the perceived constraints scale and showed the same level of unrealistic optimism for negative events, but less unrealistic optimism for positive events, than the rich.

This paper studies whether and how differently projected information about the impact of the Covid-19 pandemic affects individuals' prosocial behavior and expectations on future outcomes. We conducted an online experiment with British participants (N=961) when the UK introduced its first lockdown and the outbreak was on its growing stage. Participants were primed with either the environmental or economic consequences (i.e., negative primes), or the environmental or economic benefits (i.e., positive primes) of the pandemic, or with neutral information. We measured priming effects on an incentivized take-and-give dictator game and on participants' expectations about future environmental quality and economic growth. Our results show that primes affect participants' expectations, but not their prosociality. In particular, participants primed with environmental consequences hold a more pessimistic view on future environmental quality, while those primed with economic benefits are more optimistic about future economic growth. Instead, the positive environmental prime and the negative economic prime do not influence expectations. Our results offer insights into how information affects behavior and expectations during the Covid-19 pandemic.

Parenting knowledge has important implications for Positive Youth Development (PYD) as it is linked to the parenting practices that are promotive of positive child outcomes. This chapter reviews empirical evidence that has demonstrated that parenting knowledge is related to parenting practices, particularly literacy activities, discipline strategies, and family routines. This evidence suggests that parenting knowledge is a meaningful target of intervention. We then describe approaches to intervening on parenting knowledge and introduce a forthcoming intervention, which uses baby books with embedded anticipatory guidance in an effort to increase parenting knowledge and optimal parenting practices and thus promote positive child development.

In this work a double-crystal setup is employed to study compound refractive lenses made of single-crystal diamond. The point spread function of the lens is calculated taking into account the lens transmission, the wavefront aberrations, and the ultra-small-angle broadening of the X-ray beam. It is shown that, similarly to the wavefront aberrations, the ultra-small-angle scattering effects can significantly reduce the intensity gain and increase the focal spot size. The suggested approach can be particularly useful for the characterization of refractive X-ray lenses composed of many tens of unit lenses.A double-crystal setup is used to quantify aberrations and to assess the influence of ultra-small-angle X-ray scattering on the optical properties of a single-crystal diamond compound refractive lens.

Background Dense and unbiased cellular-resolution representations of extended volumetric central nervous system soft-tissue anatomy are difficult to obtain, even in experimental post-mortem settings. Interestingly, X-ray phase-contrast computed tomography (X-PCI-CT), an emerging soft-tissue-sensitive volumetric imaging technique, can provide multiscale organ- to cellular-level morphological visualizations of neuroanatomical structure. New Method Here, we tested different nervous-tissue fixation procedures, conventionally used for transmission electron microscopy, to better establish X-PCI-CT-specific sample-preparation protocols. Extracted rat spinal medullas were alternatively fixed with a standard paraformaldehyde-only aldehyde-based protocol, or in combination with glutaraldehyde. Some specimens were additionally post-fixed with osmium tetroxide. Multiscale X-PCI-CT datasets were collected at several synchrotron radiation facilities, using state-of-the-art setups with effective image voxel sizes of 3.03 to 0.33 μm3, and compared to high-field magnetic resonance imaging, histology and vascular fluorescence microscopy data. Results Multiscale X-PCI-CT of aldehyde-fixed spinal cord specimens resulted in dense histology-like volumetric representations and quantifications of extended deep spinal micro-vascular networks and of intra-medullary cell populations. Osmium post-fixation increased intra-medullary contrast between white and gray-matter tissues, and enhanced delineation of intra-medullary cellular structure, e.g. axon fibers and motor neuron perikarya. Comparison with Existing Methods Volumetric X-PCI-CT provides complementary contrast and higher spatial resolution compared to 9.4 T MRI. X-PCI-CT’s advantage over planar histology is the volumetric nature of the cellular-level data obtained, using samples much larger than those fit for volumetric vascular fluorescence microscopy. Conclusions Deliberately choosing (post-)fixation protocols tailored for optimal nervous-tissue structural preservation is of paramount importance in achieving effective and targeted neuroimaging via the X-PCI-CT technique.

OBJECTIVE. The aim of this study was to quantitatively assess hyaline cartilage and subchondral bone conditions in a fully preserved cadaveric human knee joint using high-resolution x-ray propagation-based phase-contrast imaging (PBI) CT and to compare the performance of the new technique with conventional CT and MRI. MATERIALS AND METHODS. A cadaveric human knee was examined using an x-ray beam of 60 keV, a detector with a 90-mm 2 FOV, and a pixel size of 46 × 46 µm 2 . PBI CT images were reconstructed with both the filtered back projection algorithm and the equally sloped tomography method. Conventional 3-T MRI and CT were also performed. Measurements of cartilage thickness, cartilage lesions, International Cartilage Repair Society scoring, and detection of subchondral bone changes were evaluated. Visual inspection of the specimen akin to arthroscopy was conducted and served as a standard of reference for lesion detection. RESULTS. Loss of cartilage height was visible on PBI CT and MRI. Quantification of cartilage thickness showed a strong correlation between the two modalities. Cartilage lesions appeared darker than the adjacent cartilage on PBI CT. PBI CT showed similar agreement to MRI for depicting cartilage substance defects or lesions compared with the visual inspection. The assessment of subchondral bone cysts showed moderate to strong agreement between PBI CT and CT. CONCLUSION. In contrast to the standard clinical methods of MRI and CT, PBI CT is able to simultaneously depict cartilage and bony changes at high resolution. Though still an experimental technique, PBI CT is a promising high-resolution imaging method to evaluate comprehensive changes of osteoarthritic disease in a clinical setting.

Chronic pain (CP) represents a complex pathology profoundly involving both neural and glial compartments of the central nervous system. While most CP studies have also investigated the macroscopic brain vascular system, its microstructural architecture still remains largely unexplored. Further, the adaptive modifications of the vascular microstructure as consequence of diseases or pathological insults did not receive adequate attention. Here we show microtomographic signs of diffuse and conspicuous microvascular neogenesis in somatosensory cortex of CP animal models already peaking at 15 days from the model instantiation. Progressive fading of this microvessel neogenesis then ensued in the next six months yet maintaining higher vascular density with a preserved small fraction of them. Due to the important consequences on the neuron-glial-vessel arrangements and on the resulting metabolic and functional disorders of the local networks, novel additional scenarios of CP are thus conceivable with profound consequences of potential future CP diagnostic and therapeutic appraisals. Significance Statement Chronic pain (CP) is an excruciating condition with various clinical presentations. Major signs are characterized by a rich repertoire of pain quality, intensity and length. While neuronal and glial anomalies have been associated to CP less attention has been granted to the micro-vessel and capillary compartments of the involved brain regions. Our research illustrates how the microvessel compartments of the somatosensory cortex in experimental animals present profound and long-lasting signs of extensive neogenesis (about fourfold) early within the first two weeks from the CP start, undergoing a slow and incomplete decline within six months. These results may change the CP clinical picture with potential novel therapeutic approaches to it.

Arguably, for many citizens the perceived expected disutility from sanctions is smaller than the monetary gain from tax evasion. Nevertheless most people pay their taxes most of the time. In a lab experiment, we show that the willingness to pay taxes even absent enforcement is indeed pronounced. Yet voluntary compliance is reduced if participants learn that income is heterogeneous. The effect is driven by participants with the lowest income. The reduction obtains irrespective of the tax regime. If the tax is proportional to income, or progressive, participants become more skeptical about the willingness of participants with high income to comply.

Arguably, for many citizens the perceived expected disutility from sanctions is smaller than the monetary gain from tax evasion. Nevertheless most people pay their taxes most of the time. In a lab experiment, we show that the willingness to pay taxes even absent enforcement is indeed pronounced. Yet voluntary compliance is reduced if participants learn that income is heterogeneous. The effect is driven by participants with the lowest income. The reduction obtains irrespective of the tax regime. If the tax is proportional to income, or progressive, participants become more skeptical about the willingness of participants with high income to comply.

Modern bony fishes display a high morphological diversity in their auditory structures. Yet, unraveling the sound-induced in situ interaction of the auditory structures has been challenging. Synchrotron radiation-based imaging techniques with high spatial and temporal resolutions now provide a powerful tool to study the functional morphology of such structures in a non-invasive way. We investigated two species representing two types of otophysic connections, namely, goldfish (Weberian apparatus) and Etroplus canarensis (swimbladder extensions contacting the inner ears) asking how different ancillary auditory structures affect otolith motion. Fishes were subjected to a 200 Hz pure tone in a 2L-standing wave tube-like setup while performing 2D radiography based on hard x-ray phase-contrast imaging. The shakers at each end of the tube were either driven 0° in-phase or 180° out-of-phase resulting in maximized sound pressure or sound-induced particle motion in the tube center, respectively. In both species, saccular otolith motion was more pronounced when the swimbladder walls oscillated under 0° in-phase condition and the motion patterns mainly matched the respective orientation patterns of ciliary bundles on the sensory epithelia. In future, we will quantify the motion patterns of fish auditory structures by applying “sound tomography” to cover the three-dimensional aspect of the moving structures.

Most people pay their taxes most of the time, even if the expected disutility from enforcement is too low to deter tax evasion. One potential reason is tax morale and, more specifically, rule following. In a lab experiment, we show that the willingness to pay taxes just because participants are told they are supposed to pay is indeed pronounced. Yet compliance is reduced if participants learn that income is heterogeneous. The effect is driven by participants with the lowest income. The reduction obtains irrespective of the tax regime. If the tax is proportional to income, or progressive, participants become more skeptical about the willingness of participants with high income to comply.

Purpose Experimental neuroimaging provides a wide range of methods for the visualization of brain anatomic morphology down to subcellular detail. Still, each technique-specific detection mechanism presents compromises among the achievable field-of-view size, spatial resolution, and nervous tissue sensitivity, leading to partial sample coverage, unresolved morphologic structures, or sparse labeling of neuronal populations and often also to obligatory sample dissection or other sample invasive manipulations. X-ray phase-contrast imaging computed tomography (PCI-CT) is an experimental imaging method that simultaneously provides micrometric spatial resolution, high soft-tissue sensitivity, and exvivo full organ rodent brain coverage without any need for sample dissection, staining or labeling, or contrast agent injection. In the present study, we explored the benefits and limitations of PCI-CT use for invitro imaging of normal and cancerous brain neuromorphology after invivo treatment with synchrotron-generated x-ray microbeam radiation therapy (MRT), a spatially fractionated experimental high-dose radiosurgery. The goals were visualization of the MRT effects on nervous tissue and a qualitative comparison of the results to the histologic and high-field magnetic resonance imaging findings. Methods and Materials MRT was administered invivo to the brain of both healthy and cancer-bearing rats. At 45days after treatment, the brain was dissected out and imaged exvivo using propagation-based PCI-CT. Results PCI-CT visualizes the brain anatomy and microvasculature in 3 dimensions and distinguishes cancerous tissue morphology, necrosis, and intratumor accumulation of iron and calcium deposits. Moreover, PCI-CT detects the effects of MRT throughout the treatment target areas (eg, the formation of micrometer-thick radiation-induced tissue ablation). The observed neurostructures were confirmed by histologic and immunohistochemistry examination and related to the micro-magnetic resonance imaging data. Conclusions PCI-CT enabled a unique 3D neuroimaging approach for exvivo studies on small animal models in that it concurrently delivers high-resolution insight of local brain tissue morphology in both normal and cancerous micro-milieu, localizes radiosurgical damage, and highlights the deep microvasculature. This method could assist experimental small animal neurology studies in the postmortem evaluation of neuropathology or treatment effects. &nbsp

Experimental and empirical literature on individual decision-making has shown a remarkable difference between planning and ongoing decisions: when asked to plan their actions, people overweight events with low probability; on the contrary, in ongoing decisions, they tend to ignore them. We report on a laboratory experiment designed to explore the presence of this decisional inconsistency in taxpayers’ behavior, by means of a commitment system for compliance. In line with the overweighting of events with small probabilities (i.e. fiscal audits), we find that planning induces the majority of people not only to adopt a mechanism of commitment to tax compliance, but also to actually comply.

When the phenomenon of tax evasion is discussed, both scholars and authorities agree on the fact that, although essential, classical enforcements are not enough to ensure tax compliance: some other forms of incentives must be adopted. The paper�s aim is to experimentally test the role of different non- monetary incentives for tax compliance: participants have been treated with different experimental conditions, which differ in the role played by anonymity. Indeed, subjects have been informed on the possibility of revealing their identity and their choices through the publication of their pictures, as a consequence of the result of the auditing process. As expected, anonymity plays an important role in the decision to pay taxes; in addition, we find that negative non-monetary incentive increases tax compliance more effectively than positive non-monetary incentive. We find also that the effect of these non-monetary incentives is mitigated, when too many information are made available. Finally, results show that, when evasion is made public, tax-dodgers are willing to pay in order to keep secret their cheating behavior and avoid public shame.

Business sustainability and real options are closely connected, as real options are managerial flexibility that allows organizations to adapt to changes in their environment, thus making the organization more robust and economically sustainable. Studies in real options theory abound, yet there is still a lack of evidence on whether people make decisions consistently with the predictions made by real options models. We run a laboratory experiment to study the role of option value and the laboratory time required to resolve uncertainty in individuals&rsquo, decision to price and adopt an option to wait. Specifically, we compare decision makers&rsquo, choices in two investment scenarios: One with a short time to maturity (implying a low option value), and another with a longer time to maturity (implying a high option value). In the lab, both scenarios are implemented with the waiting time of twenty and sixty minutes. Our results show that decision makers deviate from the theoretical predictions, recognizing the benefit of waiting, when the value of the option is higher, or when the waiting time is shorter. Our study does not only bring more insights into real options adoption at the individual level, but also emphasizes the great potential of behavioral and experimental approach to bridge the gap between theory and practice in the real options literature.

We investigate the effects of an institutional mechanism that incentivizes taxpayers to blow the whistle on collusive corruption and tax compliance. We explore this through a formal leniency program. In our experiment, we nest collusive corruption within a tax evasion framework. We not only study the effect of the presence of such a mechanism on behavior, but also the dynamic effect caused by the introduction and the removal of leniency. We find that in the presence of a leniency mechanism, subjects collude and accept bribes less often while paying more taxes, but there is no increase in bribe offers. Our results show that the introduction of the opportunity to blow the whistle decreases the collusion and bribe acceptance rate, and increases the collected tax yield. It also does not encourage bribe offers. In contrast, the removal of the institutional mechanism does not induce negative effects, suggesting a positive spillover effect of leniency that persists even after the mechanism has been removed.

Medical imaging and radiation therapy are widely used synchrotron-based techniques which have one thing in common: a significant dose delivery to typically biological samples. Among the ways to provide the experimenters with image guidance techniques indicating optimization strategies, Monte Carlo simulation has become the gold standard for accurately predicting radiation dose levels under specific irradiation conditions. A highly important hampering factor of this method is, however, its slow statistical convergence. A track length estimator (TLE) module has been coded and implemented for the first time in the open-source Monte Carlo codeGATE/Geant4. Results obtained with the module and the procedures used to validate them are presented. A database of energy-absorption coefficients was also generated, which is used by the TLE calculations and is now also included inGATE/Geant4. The validation was carried out by comparing the TLE-simulated doses with experimental data in a synchrotron radiation computed tomography experiment. The TLE technique shows good agreementversusboth experimental measurements and the results of a classical Monte Carlo simulation. Compared with the latter, it is possible to reach a pre-defined statistical uncertainty in about two to three orders of magnitude less time for complex geometries without loss of accuracy.

In this paper we study how norms of symmetry and centricity affect the functioning of two ways to allocate resources described in the economic anthropology literature, namely reciprocity and redistribution. The baseline reciprocity study, with no explicit priming of the norm of symmetry, features near-zero levels of allocative efficiency. Consistent with the anthropological framework we use throughout, we find that priming the norm of symmetry among the players through pre-play communication dramatically increases efficiency. Next we study a game of redistribution and find that in the final stages of the game allocative efficiency levels consistently approach 100%, regardless of how the chief comes to acquire centricity in the group. We conclude that reciprocity and redistribution can seldom allocate resources efficiently in the absence of norms of symmetry and centricity in the institutional design. By way of comparison, we confirm a robust finding in the experimental economics literature that a simple market exchange game achieves high efficiency, even when the traders can formulate expectations about each other’s compliance with norms.

Previous research provides compelling evidence that defaults affect individual behaviour in several domains. However, evidence of their influence in strategic interaction is scant. We experimentally investigate the effect of defaults on contributions to a public good and attempt to shed light on potential channels through which they operate. Our main experimental findings show that defaults influence contribution behaviour: preference for a suggested contribution significantly increases when it is presented as the default. However, this effect seems not to operate primarily through information conveyance or expectations about others’ behaviour. Default contributions, thus, appear to have an attractive power that goes beyond recommendation signals and expectation influences.

We report results of the computed tomography reconstruction of the index of refraction in a whole rabbit knee joint examined at the photon energy of 51 keV. Refraction based images make it possible to delineate the bone, cartilage, and soft tissues without adjusting the contrast window width and level. Density variations, which are related to tissue composition and are not visible in absorption X-ray images, are detected in the obtained refraction based images. We discuss why refraction-based images provide better detectability of low contrast features than absorption images.