Impact of lens distrortions on strain measurements obtained with digital image correlation

The determination of strain fields based on displacements obtained via DIC at the micro-strain level is still a cumbersome task. In particular when high-strain gradients are involved, e.g. in composite materials with multidirectional fibre reinforcement, uncertainties in the experimental setup and errors in the derivation of the displacement fields can substantially hamper the strain identification process. In this contribution, the aim is to investigate the impact of lens distortions on strain measurements. To this purpose, we first perform pure rigid body motion experiments, revealing the importance of precise correction of lens distortions. Next, a uni-axial tensile test on a textile composite with spatially varying high strain gradients is performed, resulting in very accurate determined strains along the fibers of the materia

Practical Implementation of the Comprehensive Geriatric Assessment to Optimise Care for Older Adults with Cancer

Whilst cancer remains a very serious health problem at any stage, cancer combined with increasing age creates an even more challenging situation for health care providers. Age is the principal non-modifiable risk factor for all cancer types. There is a rising incidence of cancer among older adults worldwide. In Belgium, the highest incidence rate is situated in the 80–84 age group [1]. In 2020, 60% of women and 70% of men in Belgium were aged 65 years or older when diagnosed, an increase of 6% for both sexes compared to 2010 [1]. Older adults with cancer can be a vulnerable group of individuals, as they present with unique characteristics that have naturally developed as a consequence of aging, such as altered physiology, functional impairment, and comorbidities [2]. In geriatric oncology, there is an awareness of the heterogeneity of the population of older adults with cancer and the spectrum of impairments that may be experienced. Decision making should be based on the patient’s functional age rather than the chronological age, as chronological age alone is often a poor indicator of the physiological and functional status of older adults [3]. Some older adults will present as independent individuals, whereas others may be at a moderate risk of health deterioration or even have a high risk of functional decline or mortality. These different profiles, ranging from fit over vulnerable to frail, can be determined through a geriatric assessment, and more extensively through a comprehensive geriatric assessment (CGA). The CGA is the gold standard in geriatric oncology to identify patients at a high risk of adverse outcomes and optimize cancer and overall management [4,5]. This multidisciplinary, in-depth evaluation helps physicians to assess the objective health of the older adult while evaluating vulnerabilities in different age-related domains such as functional status, physical performance, cognition, nutrition, social status, emotional status, comorbidity, and polypharmacy. The appropriate screening and identification of vulnerable or frail older adults is an important step to administer a safe and effective cancer treatment. Evidence-based data based on the geriatric profile are essential to determine potential risks and benefits older adults with cancer could encounter during and after cancer treatment. The use of geriatric screening tools such as the CGA helps physicians to develop a coordinated plan for cancer treatment and to guide interventions tailored to the individual. The integration of general geriatric principles focusing on the patient rather than the tumour represents the first step towards individualized treatment decisions, and consequently, the avoidance of over- and undertreating older adults with cancer. In a recent report on Clinical Cancer Advances, the American Society of Clinical Oncology (ASCO) stressed the importance of an equal opportunity to participate in, be recognized for, and benefit from research for all populations [6]. Amongst others, the optimisation of care for older adults with cancer was mentioned as one of the research priorities in order to accelerate progress against cancer, with the following focus areas: (1) the use of practice-based data to better understand the efficacy and toxicities of cancer treatments; (2) the development of standardized methods to characterize physiologic aging, such as geriatric assessment; and (3) testing the role of geriatric assessment-guided management in improving outcomes using personalized care, in order to minimise the undertreatment of fit patients and the overtreatment of vulnerable or frail patients

Nuclear transparencies in relativistic A(e,e'p) models

Relativistic and unfactorized calculations for the nuclear transparency extracted from exclusive A(e,e'p) reactions for 0.3 \leq Q^2 \leq 10 (GeV/c)^2 are presented for the target nuclei C, Si, Fe and Pb. For Q^2 \geq 0.6 (GeV/c)^2, the transparency results are computed within the framework of the recently developed relativistic multiple-scattering Glauber approximation (RMSGA). The target-mass and Q^2 dependence of the RMSGA predictions are compared with relativistic distorted-wave impulse approximation (RDWIA) calculations. Despite the very different model assumptions underlying the treatment of the final-state interactions in the RMSGA and RDWIA frameworks, they predict comparable nuclear transparencies for kinematic regimes where both models are applicable.Comment: 15 pages, 4 figure

A Framework for Decision-based Consistencies

International audienceConsistencies are properties of constraint networks that can be enforced by appropriate algorithms to reduce the size of the search space to be explored. Recently, many consistencies built upon taking decisions (most often, variable assignments) and stronger than (general- ized) arc consistency have been introduced. In this paper, our ambition is to present a clear picture of decision-based consistencies. We identify four general classes (or levels) of decision-based consistencies, denoted by S∆φ, E∆φ, B∆φ and D∆φ, study their relationships, and show that known consistencies are particular cases of these classes. Interestingly, this gen- eral framework provides us with a better insight into decision-based con- sistencies, and allows us to derive many new consistencies that can be directly integrated and compared with other ones

Persistent neuronal Ube3a expression in the suprachiasmatic nucleus of Angelman syndrome model mice

Mutations or deletions of the maternal allele of the UBE3A gene cause Angelman syndrome (AS), a severe neurodevelopmental disorder. The paternal UBE3A/Ube3a allele becomes epigenetically silenced in most neurons during postnatal development in humans and mice; hence, loss of the maternal allele largely eliminates neuronal expression of UBE3A protein. However, recent studies suggest that paternal Ube3a may escape silencing in certain neuron populations, allowing for persistent expression of paternal UBE3A protein. Here we extend evidence in AS model mice (Ube3am–/p+) of paternal UBE3A expression within the suprachiasmatic nucleus (SCN), the master circadian pacemaker. Paternal UBE3A-positive cells in the SCN show partial colocalization with the neuropeptide arginine vasopressin (AVP) and clock proteins (PER2 and BMAL1), supporting that paternal UBE3A expression in the SCN is often of neuronal origin. Paternal UBE3A also partially colocalizes with a marker of neural progenitors, SOX2, implying that relaxed or incomplete imprinting of paternal Ube3a reflects an overall immature molecular phenotype. Our findings highlight the complexity of Ube3a imprinting in the brain and illuminate a subpopulation of SCN neurons as a focal point for future studies aimed at understanding the mechanisms of Ube3a imprinting

p16 mutations/deletions are not frequent events in prostate cancer.

Cyclin-dependent kinase-4 inhibitor gene (p16INK4) has recently been mapped to chromosome 9p21. Homozygous deletions of this gene have been found at high frequency in cell lines derived from different types of tumours. These findings suggested therefore, that p16INK4 is a tumour-suppressor gene involved in a wide variety of human cancers. To investigate the frequency of p16INK mutations/deletions in prostate cancer, we screened 20 primary prostate tumours and four established cell lines by polymerase chain reaction (PCR) and single-strand conformation polymorphism (SSCP) analysis for exon 1 and exon 2. In contrast to most previous reports, no homozygous deletions were found in prostate cancer cell lines, but one cell line (DU145) has revealed to a mutation at codon 76. Only two SSCP shifts were detected in primary tumours: one of them corresponds to a mutation at codon 55 and the other one probably corresponds to a polymorphism. These data suggest that mutation of the p16INK4 gene is not a frequent genetic alteration implicated in prostate cancer development

Domain k-Wise Consistency Made as Simple as Generalized Arc Consistency

Abstract. In Constraint Programming (CP), Generalized Arc Consistency (GAC) is the central property used for making inferences when solving Constraint Satisfaction Problems (CSPs). Developing simple and practical filtering algorithms based on consistencies stronger than GAC is a challenge for the CP community. In this paper, we propose to combine k-Wise Consistency (kWC) with GAC, where kWC states that every tuple in a constraint can be extended to every set of k − 1 additional constraints. Our contribution is as follows. First, we derive a domain-filtering consistency, called Domain k-Wise Consistency (DkWC), from the combination of kWC and GAC. Roughly speaking, this property corresponds to the pruning of values of GAC, when enforced on a CSP previously made kWC. Second, we propose a procedure to enforce DkWC, relying on an encoding of kWC to generate a modified CSP called k-interleaved CSP. Formally, we prove that enforcing GAC on the k-interleaved CSP corresponds to enforcing DkWC on the initial CSP. Consequently, we show that the strong DkWC can be enforced very easily in constraint solvers since the k-interleaved CSP is rather immediate to generate and only existing GAC propagators are required: in a nutshell, DkWC is made as simple and practical as GAC. Our experimental results show the benefits of our approach on a variety of benchmarks.