A Decentralized Scheduler for On-line Self-test Routines in Multi-core Automotive System-on-Chips

Modern System-on-Chips (SoCs) deployed for safety-critical applications typically embed one or more processing cores along with a variable number of peripherals. The compliance of such designs with functional safety standards is achieved by a combination of different techniques based on hardware redundancy and in-field test mechanisms. Among these, Software Test Libraries (STLs) are rapidly becoming adopted for testing the CPU and peripherals modules. The STL is usually composed of two sets of self-test procedures: boot-time and run-time tests. The former set is typically executed during the boot or power-on phase of the SoC since it requires full access to the available hardware (e.g., these programs need to manipulate the Interrupt Vector Table and to access the system RAM). The latter set instead, is designed to coexist with the user application and can be executed without requiring special constraints. When the STL is intended for testing the different cores within a multi-core SoC, the concurrent execution of the boot-time self-tests becomes an issue since this could lead to a longer power-up phase and excessive utilization of system resources. The main intent of this work is to present the architecture of a decentralized software scheduler, conceived for the concurrent execution of the STL on the available cores. The proposed solution considers the typical constraints of an STL in a multi-core scenario when deployed in field, namely minimum system resources usage (i.e., code and data memory). The effectiveness of the proposed scheduler was experimentally evaluated on an industrial STL developed for a multi-core SoC manufactured by STMicroelectronics

Phononic Graded Meta-MEMS for Elastic Wave Amplification and Filtering

Inspired by recent graded metamaterials designs, we create phononic arrays of micro-resonators for frequency signal amplification and wave filtering. Leveraging suspended waveguides on a thick silicon substrate, we hybridize surface Rayleigh and Lamb flexural waves to effectively achieve phononic signal control along predefined channels. The guided waves are then spatially controlled using a suitable grading of the micro-resonators, which provide high signal-to-noise ratio and simultaneously create phononic delay-lines. The proposed device can be used for sensing, wave filtering or energy harvesting

Deterministic Cache-based Execution of On-line Self-Test Routines in Multi-core Automotive System-on-Chips

Traditionally, the usage of caches and deterministic execution of on-line self-test procedures have been considered two mutually exclusive concepts. At the same time, software executed in a multi-core context suffers of a limited timing predictability due to the higher system bus contention. When dealing with selftest procedures, this higher contention might lead to a fluctuating fault coverage or even the failure of some test programs. This paper presents a cache-based strategy for achieving both deterministic behaviour and stable fault coverage from the execution of self-test procedures in multi-core systems. The proposed strategy is applied to two representative modules negatively affected by a multi-core execution: synchronous imprecise interrupts logic and pipeline hazard detection unit. The experiments illustrate that it is possible to achieve a stable execution while also improving the state-of-the-art approaches for the on-line testing of embedded microprocessors. The effectiveness of the methodology was assessed on all the three cores of a multi-core industrial System- on-Chip intended for automotive ASIL D applications

Health needs and perception of health care quality among Asylum Seekers and Refugees in an Italian local health authority: A qualitative study

BackgroundMigrants, Asylum Seekers and Refugees (ASRs) represent a vulnerable diversified population with increased risks of developing health problems, and in the hosting countries several barriers often hamper their access to the health services. Gathering information about ASRs’ experiences and perceptions of host country health care systems may contribute to improve the quality of health care provided. The aim of this study was to explore the health needs in their bio-psycho-social meaning, and the quality of health care as perceived from the ASRs’ perspective.MethodsThe qualitative descriptive study was conducted as part of the Project “G-START – testing a governance model of receiving and taking care of the Asylum Seekers and Refugees.” Through purposeful and snowball sampling, four Focus Groups conducted in English, Italian and French were carried out between July and August 2019, involving 50 ASRs hosted by four reception centers located on the territory pertaining to an Italian Local Health Authority covering a general population of 500.000 people. The analysis of data was categorical, and was performed using N-Vivo software.ResultsThe macro-categories emerged were the ASRs’ bio-psycho-social health needs, including mental health, sexual and reproductive health, food and nutrition, knowledge of the health care system, need for inclusion; healthcare services access, including barriers before and after the access and the ability of the local health system to respond to existing and evolving demands; strengths of the healthcare and reception systems, and suggestions for improving them in the future.Discussion and conclusionsASRs present vulnerabilities and specific health needs, and the health care system is not always able to guarantee access or to respond to these needs. Several obstacles have been highlighted, such as linguistic barriers and lack of cultural mediation, bureaucratic and administrative barriers, lack of knowledge of the Italian health care system. An effective reorganization of services driven by a more detailed output analysis of the target population needs, together with the use of cultural mediation, peer to peer education and support, and the training of health professionals are recommended to ensure a more accessible, equitable and effective health care system at local level

LAMC2 marks a tumor-initiating cell population with an aggressive signature in pancreatic cancer

[Background]: Tumor-initiating cells (TIC), also known as cancer stem cells, are considered a specific subpopulation of cells necessary for cancer initiation and metastasis; however, the mechanisms by which they acquire metastatic traits are not well understood.[Methods]: LAMC2 transcriptional levels were evaluated using publicly available transcriptome data sets, and LAMC2 immunohistochemistry was performed using a tissue microarray composed of PDAC and normal pancreas tissues. Silencing and tracing of LAMC2 was performed using lentiviral shRNA constructs and CRISPR/Cas9-mediated homologous recombination, respectively. The contribution of LAMC2 to PDAC tumorigenicity was explored in vitro by tumor cell invasion, migration, sphere-forming and organoids assays, and in vivo by tumor growth and metastatic assays. mRNA sequencing was performed to identify key cellular pathways upregulated in LAMC2 expressing cells. Metastatic spreading induced by LAMC2- expressing cells was blocked by pharmacological inhibition of transforming growth factor beta (TGF-β) signaling.[Results]: We report a LAMC2-expressing cell population, which is endowed with enhanced self-renewal capacity, and is sufficient for tumor initiation and differentiation, and drives metastasis. mRNA profiling of these cells indicates a prominent squamous signature, and differentially activated pathways critical for tumor growth and metastasis, including deregulation of the TGF-β signaling pathway. Treatment with Vactosertib, a new small molecule inhibitor of the TGF-β type I receptor (activin receptor-like kinase-5, ALK5), completely abrogated lung metastasis, primarily originating from LAMC2-expressing cells.[Conclusions]: We have identified a highly metastatic subpopulation of TICs marked by LAMC2. Strategies aimed at targeting the LAMC2 population may be effective in reducing tumor aggressiveness in PDAC patients. Our results prompt further study of this TIC population in pancreatic cancer and exploration as a potential therapeutic target and/or biomarker.This work was supported by: Marie Curie IF (H2020-MSCA-IF-2015, #703753), My First AIRC Grant (MFAG-2017, #20206), POR Campania FESR 2014/2020 (Project SATIN) to E.L.; AIRC IG grant 2018 n.21420 to A.D.L.; FIMP to D.D.C.; AECC (Proye18046BATL_002) to E.B.; My First AIRC Grant (MFAG grant #23029), WorldWide Cancer Research (Research grant #20–0188), EASI Genomics consortium (TNA project #15158) and the World Cancer Research Fund (Seed grant #2021–1769) to A.C

"Delirium Day": A nationwide point prevalence study of delirium in older hospitalized patients using an easy standardized diagnostic tool

Background: To date, delirium prevalence in adult acute hospital populations has been estimated generally from pooled findings of single-center studies and/or among specific patient populations. Furthermore, the number of participants in these studies has not exceeded a few hundred. To overcome these limitations, we have determined, in a multicenter study, the prevalence of delirium over a single day among a large population of patients admitted to acute and rehabilitation hospital wards in Italy. Methods: This is a point prevalence study (called "Delirium Day") including 1867 older patients (aged 65 years or more) across 108 acute and 12 rehabilitation wards in Italian hospitals. Delirium was assessed on the same day in all patients using the 4AT, a validated and briefly administered tool which does not require training. We also collected data regarding motoric subtypes of delirium, functional and nutritional status, dementia, comorbidity, medications, feeding tubes, peripheral venous and urinary catheters, and physical restraints. Results: The mean sample age was 82.0 ± 7.5 years (58 % female). Overall, 429 patients (22.9 %) had delirium. Hypoactive was the commonest subtype (132/344 patients, 38.5 %), followed by mixed, hyperactive, and nonmotoric delirium. The prevalence was highest in Neurology (28.5 %) and Geriatrics (24.7 %), lowest in Rehabilitation (14.0 %), and intermediate in Orthopedic (20.6 %) and Internal Medicine wards (21.4 %). In a multivariable logistic regression, age (odds ratio [OR] 1.03, 95 % confidence interval [CI] 1.01-1.05), Activities of Daily Living dependence (OR 1.19, 95 % CI 1.12-1.27), dementia (OR 3.25, 95 % CI 2.41-4.38), malnutrition (OR 2.01, 95 % CI 1.29-3.14), and use of antipsychotics (OR 2.03, 95 % CI 1.45-2.82), feeding tubes (OR 2.51, 95 % CI 1.11-5.66), peripheral venous catheters (OR 1.41, 95 % CI 1.06-1.87), urinary catheters (OR 1.73, 95 % CI 1.30-2.29), and physical restraints (OR 1.84, 95 % CI 1.40-2.40) were associated with delirium. Admission to Neurology wards was also associated with delirium (OR 2.00, 95 % CI 1.29-3.14), while admission to other settings was not. Conclusions: Delirium occurred in more than one out of five patients in acute and rehabilitation hospital wards. Prevalence was highest in Neurology and lowest in Rehabilitation divisions. The "Delirium Day" project might become a useful method to assess delirium across hospital settings and a benchmarking platform for future surveys

Assessing Convolutional Neural Networks Reliability through Statistical Fault Injections

Assessing the reliability of modern devices running CNN algorithms is a very difficult task. Actually, the complexity of the state-of-the-art devices makes exhaustive Fault Injection (FI) campaigns impractical and typically out of the computational capabilities. A possible solution to this problem consists of resorting to statistical FI campaigns that allow a reduction in the number of needed experiments by injecting only a carefully selected small part of it. Under specific hypothesis, statistical FIs guarantee an accurate picture of the problem, albeit selecting a reduced sample size. The main problems today are related to the choice of the sample size, the location of the faults, and the correct understanding of the assumptions with respect to the target system. The intent of this paper is twofold: first, we describe how to correctly specify statistical FIs for Convolutional Neural Networks; second, we propose a data analysis on the CNN parameters that drastically reduces the number of FIs needed to achieve statistically significant results without compromising the validity of the proposed method. The methodology is experimentally validated on two CNNs, ResNet-20 and MobileNetV2, and the results show that a statistical FI campaign on about 1.50% of the possible faults, provides very precise information of the CNN reliability. The statistical results have been confirmed by the exhaustive FI campaigns on the same cases of study

Hepatic arterial embolization in patients with neuroendocrine tumors

Liver metastases occur in 46-93% of patients with neuroendocrine neoplasms (NENs). Presence and extension of liver metastases are considered important prognostic factors, as they may significantly impair the patient's quality of life, because of either tumor bulk or hormonal hypersecretion. Therapies for NEN liver metastases include surgical resection, liver transplantation, chemotherapy and biotherapy. Surgery is the gold standard for curative therapy, but in most of NEN patients with liver metastases, when surgery can not be applied, minimally invasive therapeutic approaches are adopted. They include trans-arterial embolization (TAE), trans-arterial chemoembolization (TACE), radiofrequency thermal ablation and new emerging techniques.TAE is based on selective infusion of particles in the branch of the hepatic artery supplying the tumor lesions. The goal of TAE is to occlude tumor blood vessels resulting in ischemia and necrosis. Many reports have shown that TAE can reduce tumor size and hormone output, resulting in palliation of symptoms without the use of cytotoxic drugs, resulting in better tolerability. This review will focus on TAE performance and safety in NEN patients with liver metastases

Natural Activators of Autophagy Reduce Oxidative Stress and Muscle Injury Biomarkers in Endurance Athletes: A Pilot Study

Background: Oxidative stress and impaired autophagy are directly and indirectly implicated in exercise-mediated muscle injury. Trehalose, spermidine, nicotinamide, and polyphenols possess pro-autophagic and antioxidant properties, and could therefore reduce exercise-induced damage to skeletal muscle. The aim of this study was to investigate whether a mixture of these compounds was able to improve muscle injury biomarkers in endurance athletes through the modulation of oxidative stress and autophagic machinery. Methods and Results: sNOX2-dp; H2O2 production; H2O2 breakdown activity (HBA); ATG5 and p62 levels, both markers of autophagic process; and muscle injury biomarkers were evaluated in five endurance athletes who were allocated in a crossover design study to daily administration of 10.5 g of an experimental mixture or no treatment, with evaluations conducted at baseline and after 30 days of mixture consumption. Compared to baseline, the mixture intake led to a remarkable reduction of oxidative stress and positively modulated autophagy. Finally, after the 30-day supplementation period, a significant decrease in muscle injury biomarkers was found. Conclusion: Supplementation with this mixture positively affected redox state and autophagy and improved muscle injury biomarkers in athletes, allowing for better muscle recovery. Moreover, it is speculated that this mixture could also benefit patients suffering from muscle injuries, such as cancer or cardiovascular patients, or elderly subjects

Stronger and durable SARS-CoV-2 immune response to mRNA vaccines in 5–11 years old children with prior COVID-19

background and objectives: mRNA vaccines elicit a durable humoral response to SARS-CoV-2 in adults, whereas evidence in children is scarce. this study aimed to assess the early and long-term immune response to the mRNA vaccine in children with or without previous SARS-CoV-2 infection. Methods: In a multicentre prospective observational study, we profiled the immune response to the Pfizer BioNTech (BNT162b2) vaccine in 5-11-year-old children attending the university pediatric hospital of padua and bambino-gesù hospital in rome (Italy) from december-2021 to february-2023. blood samples were collected pre-, 1-, and 6-months after vaccination. Neutralizing antibodies (NAbs) and anti-spike-receptor-binding-domain (anti-S-RBD) IgG titers were analyzed through plaque reduction neutralization test (PRNT) and chemiluminescent immune-enzymatic assay (CLIA), respectively. Immune cell phenotypes were analyzed by flow cytometry. results: sixty children (26 [43 %] female, median age = 8 years [IQR = 7-10.7]) were enrolled in the study, including 46 children with a laboratory-confirmed previous COVID-19 (SARS-CoV-2-recovered) and 14 SARS-CoV-2-naïve participants defined as the absence of antigen-specific antibodies before vaccination. SARS-CoV-2-recovered participants recorded higher anti-S-RBD IgG and Wild-type and omicron BA.2 NAbs titers than SARS-CoV-2-naïve participants at both 1- and 6-months after vaccination. antibody titers correlated with T (Tregs) and B (Bregs) regulatory cell frequencies in SARS-CoV-2-recovered children. both SARS-CoV-2-recovered and SARS-CoV-2-naïve participants decreased antibody titers by approximately 100 to 250 % from 1 to 6 months. while children with immunocompromising underlying conditions developed immune responses comparable to those of healthy children, solid organ transplant recipients exhibited lower levels of NAbs and anti-S-RBD IgG titers, as well as reduced frequencies of tregs and bregs. conclusions: mRNA vaccination triggered a higher production of specific anti-SARS-CoV-2 antibodies along with increased levels of regulatory cells in children with previous SARS-CoV-2 infection up to the following 6 months. these findings provide insights into boosting pre-existing immunity