On Fault Diagnosis using Bayesian Networks ; A Case Study of Combinational Adders.

In this paper, we use Bayesian networks to reduce the set of vectors for the test and the diagnosis of combinational circuits. We are able to integrate any fault model (such as bit-flip and stuck-at models) and consider either single or multiple faults. We apply our method to adders and obtain a minimum set of vectors for a complete diagnosis in the case of the bit-flip model. A very good diagnosis coverage for the stuck-at fault model is found with a minimum set of test vectors and a complete diagnosis by adding few vectors

Online Inference for Adaptive Diagnosis via Arithmetic Circuit Compilation of Bayesian Networks

International audienceConsidering technology and complexity evolution the design of fully reliable embedded systems will be prohibitively complex and costly. Onboard diagnosis is a first solution that can be achieved by means of Bayesian networks. An efficient compilation of Bayesian inference is proposed using Arithmetic Circuits (AC). ACs can be efficiently implemented in hardware to get very fast response time. This approach has been recently experimented in Software Health Management of aircrafts or UAVs. However, there are two kinds of obstacles that must be addressed. First, the tree complexity can lead to intractable solutions and second, an offline static analysis cannot capture the dynamic behaviour of a system that can have multiple configurations and applications. In this paper, we present our direction to solve these issues. Our approach relies on an adaptive version of the diagnosis computation for different kinds of applications/missions of UAVs. In particular, we consider an incremental generation of the AC structure. This adaptive diagnosis can be implemented using dynamic reconfiguration of FPGA circuits

Female Sexual-offenders: Personality Pathology as a Mediator of the Relationship between Childhood Sexual Abuse History and Sexual Abuse Perpetration against Others

Objective: The goal was to examine, in an all-female sample, possible mechanisms for the relationship between a history of childhood sexual abuse and the likelihood of perpetrating sexual abuse as an adult. It was hypothesized that Borderline and Antisocial Personality Disorder tendencies would mediate the relationship between these two forms of abuse. Method: One hundred forty two female participants (61 sex-offenders and 81 non-sex offenders) were recruited from a women’s prison in the Midwest. The participants completed measures that included a childhood history of sexual abuse, socially desirable responding, primary and secondary psychopathy, and Borderline Personality Disorder tendencies. Results: Participants in the sexual-offender group reported more frequent instances of childhood sexual abuse (p \u3c .05, M = 16.4, SD = 7.2) than participants in the non-sex offender group (M = 12.2, SD = 7.7). Consistent with past research, childhood sexual abuse was related to Borderline Personality Disorder tendencies (r = .36, p \u3c .01). However, discriminant function analyses did not reveal support for our mediational hypotheses. Finally, the results indicated that participants in the sexual-offender group experienced childhood sexual abuse for a greater duration of time (p \u3c .05, M = 27.8, SD = 20.5 months) than participants in the non-sex offender group (M = 16.6, SD = 10.4). Conclusions: This study replicated previous research conducted on all-male samples, suggesting that the nature of the sexual abuse suffered in childhood is an important variable in predicting future sexual abuse perpetration

De-Differentiation Confers Multidrug Resistance Via Noncanonical PERK-Nrf2 Signaling

Malignant carcinomas that recur following therapy are typically de-differentiated and multidrug resistant (MDR). De-differentiated cancer cells acquire MDR by up-regulating reactive oxygen species (ROS)–scavenging enzymes and drug efflux pumps, but how these genes are up-regulated in response to de-differentiation is not known. Here, we examine this question by using global transcriptional profiling to identify ROS-induced genes that are already up-regulated in de-differentiated cells, even in the absence of oxidative damage. Using this approach, we found that the Nrf2 transcription factor, which is the master regulator of cellular responses to oxidative stress, is preactivated in de-differentiated cells. In de-differentiated cells, Nrf2 is not activated by oxidation but rather through a noncanonical mechanism involving its phosphorylation by the ER membrane kinase PERK. In contrast, differentiated cells require oxidative damage to activate Nrf2. Constitutive PERK-Nrf2 signaling protects de-differentiated cells from chemotherapy by reducing ROS levels and increasing drug efflux. These findings are validated in therapy-resistant basal breast cancer cell lines and animal models, where inhibition of the PERK-Nrf2 signaling axis reversed the MDR of de-differentiated cancer cells. Additionally, analysis of patient tumor datasets showed that a PERK pathway signature correlates strongly with chemotherapy resistance, tumor grade, and overall survival. Collectively, these results indicate that de-differentiated cells up-regulate MDR genes via PERK-Nrf2 signaling and suggest that targeting this pathway could sensitize drug-resistant cells to chemotherapy.Breast Cancer Research Program (U.S.) (Award No. W81XWH-12-BCRP-POSTDOC2)Breast Cancer Alliance (Young Investigator Grant)National Science Foundation (U.S.) (Graduate Research Fellowship Grant No. 1122374)Richard and Susan Smith Family Foundation (Excellence in Biomedical Research award

The GCN2 kinase is required for activating autophagy in response to indispensable amino acid deficiencies

ORGANIZING COMMITTEEChairs: Didier Attaix - Lydie Combaret - Daniel TaillandierDaniel Béchet - Agnès Claustre - Cécile Coudy-Gandilhon - Christiane Deval - Gérard Donadille - Cécile PolgeSCIENTIFIC COMMITTEEDidier Attaix - Lydie Combaret - Alfred L. Goldberg - Ron Hay - Germana Meroni - Marco Sandri - Daniel Taillandier - Keiji Tanaka - Simon S. WingPoster Session 3 - AutophagyImbalances in dietary amino acid (AA) supply, including deficits in one or more indispensable amino acids (IAA), are stressful conditions for the organism that needs to modulate a number of physiological functions to adapt to this situation. In particular, since there is no system dedicated for storing AA in the body, the release of free AA occurs by proteolysis at the expense of functional proteins, notably in the liver by up-regulating autophagy. This process can be rapidly mobilized within the cell in response to a number of stresses, by post-translational regulations of autophagy-related proteins already present in the cytosol. The protein kinase GCN2 is activated upon IAA scarcity in order to promote cell adaptation to a nutritional stress condition. In response to IAA limitation, GCN2 couples the accumulation of uncharged transfer RNAs to the phosphorylation of eIF2a on serine 51. By this mean, GCN2 diminishes the overall protein synthesis rate, while simultaneously activating a gene expression program mediated by the translational upregulation of the transcription factor ATF4. Our recent work has shown that the GCN2/p-eIF2a/ATF4 signaling pathway plays an essential role in the induction of transcription of a number of autophagy-related genes involved in the maintenance of the autophagic process in response to an IAA deficiency (B’chir et al., 2013). In the present study we sought to determine whether GCN2 could play a role in regulating the early stages of autophagy. The most upstream complex for triggering the autophagic process (initiation complex) is notably composed of the ULK kinase and the ATG13 bridging protein, and is classically viewed to be controlled by mTORC1. Indeed, the activity of the autophagy initiation complex has been shown to be modulated according to AA availability by the activity of mTORC1, which phosphorylates different sites in ULK. Here, by using a GCN2 knock-out mouse model we investigated the role of GCN2 in the upregulation of autophagy in the first hour of an IAA deficiency. Our results show that 1) GCN2 is required for upregulating liver autophagy in response to an IAA-deficient diet, which is confirmed in cell culture model; 2) this early activation of the autophagic process does not require the transcription factor ATF4; 3) moreover, while this effect can occur without concomitant inhibition of mTORC1 activity, our results suggest that ULK/ATG13 couple is involved in the GCN2-dependent activation of autophagy. Our results demonstrate that in the particular model of an IAA deficiency GCN2 plays a preponderant role in triggering the adaptive autophagy upregulation, a mechanism which can operate without concomitant inhibition of mTORC1 activit

The antigen-specific CD8+ T cell repertoire in unimmunized mice includes memory phenotype cells bearing markers of homeostatic expansion

Memory T cells exhibit superior responses to pathogens and tumors compared with their naive counterparts. Memory is typically generated via an immune response to a foreign antigen, but functional memory T cells can also be produced from naive cells by homeostatic mechanisms. Using a recently developed method, we studied CD8 T cells, which are specific for model (ovalbumin) and viral (HSV, vaccinia) antigens, in unimmunized mice and found a subpopulation bearing markers of memory cells. Based on their phenotypic markers and by their presence in germ-free mice, these preexisting memory-like CD44hi CD8 T cells are likely to arise via physiological homeostatic proliferation rather than a response to environmental microbes. These antigen-inexperienced memory phenotype CD8 T cells display several functions that distinguish them from their CD44lo counterparts, including a rapid initiation of proliferation after T cell stimulation and rapid IFN-γ production after exposure to proinflammatory cytokines. Collectively, these data indicate that the unprimed antigen-specific CD8 T cell repertoire contains antigen-inexperienced cells that display phenotypic and functional traits of memory cells

COVID-19 in congenital heart disease (COaCHeD) study

Background: COVID-19 has caused significant worldwide morbidity and mortality. Congenital heart disease (CHD) is likely to increase vulnerability and understanding the predictors of adverse outcomes is key to optimising care.// Objective: Ascertain the impact of COVID-19 on people with CHD and define risk factors for adverse outcomes.// Methods: Multicentre UK study undertaken 1 March 2020–30 June 2021 during the COVID-19 pandemic. Data were collected on CHD diagnoses, clinical presentation and outcomes. Multivariable logistic regression with multiple imputation was performed to explore predictors of death and hospitalisation.// Results: There were 405 reported cases (127 paediatric/278 adult). In children (age <16 years), there were 5 (3.9%) deaths. Adjusted ORs (AORs) for hospitalisation in children were significantly lower with each ascending year of age (OR 0.85, 95% CI 0.75 to 0.96 (p<0.01)). In adults, there were 24 (8.6%) deaths (19 with comorbidities) and 74 (26.6%) hospital admissions. AORs for death in adults were significantly increased with each year of age (OR 1.05, 95% CI 1.01 to 1.10 (p<0.01)) and with pulmonary arterial hypertension (PAH; OR 5.99, 95% CI 1.34 to 26.91 (p=0.02)). AORs for hospitalisation in adults were significantly higher with each additional year of age (OR 1.03, 95% CI 1.00 to 1.05 (p=0.04)), additional comorbidities (OR 3.23, 95% CI 1.31 to 7.97 (p=0.01)) and genetic disease (OR 2.87, 95% CI 1.04 to 7.94 (p=0.04)).// Conclusions: Children were at low risk of death and hospitalisation secondary to COVID-19 even with severe CHD, but hospital admission rates were higher in younger children, independent of comorbidity. In adults, higher likelihood of death was associated with increasing age and PAH, and of hospitalisation with age, comorbidities and genetic disease. An individualised approach, based on age and comorbidities, should be taken to COVID-19 management in patients with CHD

Tracking the Feeding Patterns of Tsetse Flies (Glossina Genus) by Analysis of Bloodmeals Using Mitochondrial Cytochromes Genes

Tsetse flies are notoriously difficult to observe in nature, particularly when populations densities are low. It is therefore difficult to observe them on their hosts in nature; hence their vertebrate species can very often only be determined indirectly by analysis of their gut contents. This knowledge is a critical component of the information on which control tactics can be developed. The objective of this study was to determine the sources of tsetse bloodmeals, hence investigate their feeding preferences. We used mitochondrial cytochrome c oxidase 1 (COI) and cytochrome b (cytb) gene sequences for identification of tsetse fly blood meals, in order to provide a foundation for rational decisions to guide control of trypanosomiasis, and their vectors. Glossina swynnertoni were sampled from Serengeti (Tanzania) and G. pallidipes from Kenya (Nguruman and Busia), and Uganda. Sequences were used to query public databases, and the percentage identities obtained used to identify hosts. An initial assay showed that the feeds were from single sources. Hosts identified from blood fed flies collected in Serengeti ecosystem, included buffaloes (25/40), giraffes (8/40), warthogs (3/40), elephants (3/40) and one spotted hyena. In Nguruman, where G. pallidipes flies were analyzed, the feeds were from elephants (6/13) and warthogs (5/13), while buffaloes and baboons accounted for one bloodmeal each. Only cattle blood was detected in flies caught in Busia and Uganda. Out of four flies tested in Mbita Point, Suba District in western Kenya, one had fed on cattle, the other three on the Nile monitor lizard. These results demonstrate that cattle will form an integral part of a control strategy for trypanosomiasis in Busia and Uganda, while different approaches are required for Serengeti and Nguruman ecosystems, where wildlife abound and are the major component of the tsetse fly food source

Imaging the Impact of Prenatal Alcohol Exposure on the Structure of the Developing Human Brain

Prenatal alcohol exposure has numerous effects on the developing brain, including damage to selective brain structure. We review structural magnetic resonance imaging (MRI) studies of brain abnormalities in subjects prenatally exposed to alcohol. The most common findings include reduced brain volume and malformations of the corpus callosum. Advanced methods have been able to detect shape, thickness and displacement changes throughout multiple brain regions. The teratogenic effects of alcohol appear to be widespread, affecting almost the entire brain. The only region that appears to be relatively spared is the occipital lobe. More recent studies have linked cognition to the underlying brain structure in alcohol-exposed subjects, and several report patterns in the severity of brain damage as it relates to facial dysmorphology or to extent of alcohol exposure. Future studies exploring relationships between brain structure, cognitive measures, dysmorphology, age, and other variables will be valuable for further comprehending the vast effects of prenatal alcohol exposure and for evaluating possible interventions

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