Magnetoelectric nanoparticles shape modulates their electrical output

Core-shell magnetoelectric nanoparticles (MENPs) have recently gained popularity thanks to their capability in inducing a local electric polarization upon an applied magnetic field and vice versa. This work estimates the magnetoelectrical behavior, in terms of magnetoelectric coupling coefficient (αME), via finite element analysis of MENPs with different shapes under either static (DC bias) and time-variant (AC bias) external magnetic fields. With this approach, the dependence of the magnetoelectrical performance on the MENPs geometrical features can be directly derived. Results show that MENPs with a more elongated morphology exhibits a superior αME if compared with spherical nanoparticles of similar volume, under both stimulation conditions analyzed. This response is due to the presence of a larger surface area at the interface between the magnetostrictive core and piezoelectric shell, and to the MENP geometrical orientation along the direction of the magnetic field. These findings pave a new way for the design of novel high-aspect ratio magnetic nanostructures with an improved magnetoelectric behaviour.

AI-Augmented Business Process Management Systems: A Research Manifesto

AI-Augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology. An ABPMS enhances the execution of business processes with the aim of making these processes more adaptable, proactive, explainable, and context-sensitive. This manifesto presents a vision for ABPMSs and discusses research challenges that need to be surmounted to realize this vision. To this end, we define the concept of ABPMS, we outline the lifecycle of processes within an ABPMS, we discuss core characteristics of an ABPMS, and we derive a set of challenges to realize systems with these characteristics.

A Methodology to Design and Evaluate HRI Teaming Tasks in Robotic Competitions

As social robots become more prominent in our lives, their interaction with humans takes an increasing role, and new collaborative scenarios emerge. This development brings the need to realize robust test methods enabling the design and evaluation of HRI teaming tasks to prove functionality and promote adoption. In this paper, we present a general purpose and repeatable methodology for conducting studies in collaborative HRI in the range of robotic competitions. The methodology includes a step-by-step approach to design HRI teaming tasks tailored to be enacted in a robotic competition and to evaluate the performance of social robots to execute the designed tasks, exploring the relationship between robots’ performance and user perceptions based on the feedback of the users participating to such tasks. We assess the feasibility of the methodology to design and evaluate a HRI teaming task in the context of SciRoc (“Smart CIties RObotics Challenges”) competition, which targets at investigating the impact of social of robots in smart cities.

Varicella vaccination as useful strategy for reducing the risk of varicella-related hospitalizations

Introduction

The present study summarizes evidences of the impact of varicella vaccination (VV) on hospitalization rates attributable to this infectious disease in Italy.

Methods

We have carried out a retrospective observational study that analysed hospital discharge records and VV coverage at 24 months collected from 2003 to 2018 by the Italian Health Ministry. All hospitalizations with the presence of an ICD-9 CM 059.X code in the principal diagnosis or in any of the five secondary diagnoses were considered as related to varicella. The hospitalization rate reduction was evaluated by calculating average annual percent change (AAPC) through joint-point analysis.

Results

Hospitalization rates showed a decreasing risk by age: children aged <1 year were the most affected age group in each region (42.56/100,000 per year), whereas lower incidence rates were found in older age groups (23.76/100,000 in 1 to 5 years age group and <4/100,000 in the following groups).

Varicella hospitalization rates decreased significantly after the introduction of VV (3.42 vs. 2.67 per 100,000; P < 0.001). During the first five years after vaccination introduction hospitalization rates showed a statistically significant decrease especially for infants aged <1 year (AAPC -34.98%; p < 0.001) and 1 to 5 years old (AAPC -35.22%; P < 0.01). VV coverage was strongly correlated with hospitalization rates decrease over each paediatric age group (R-squared 0.38 in aged <1 year, p < 0.001; 0.71 in 1 to 5 years old, p < 0.001; 0.93 in 6 to 14 years old, p < 0.0001).

Conclusions

All the previously reported findings confirm that hospitalization rates are strictly related to both the number of years since vaccination introduction and the vaccination coverage. VV confirms to be an important step in public health strategies and the introduction of universal vaccination, with high vaccination coverage, should be considered as an extremely powerful tool for reducing the risk of complications.

Key messages

This study adds update findings to the literature and shows that varicella hospitalizations in Italy, from 2003 to 2018, have reduced their burden, that was high in years before varicella vaccination. Varicella vaccination introduction and high coverage are powerful tools for reducing the risk of varicella complications and related hospitalizations in the general population.

Tobacco smoking prevalence in pregnant women: metanalysis of cross sectional studies

Background

Notwithstanding tobacco smoking during pregnancy is associated with negative health outcomes, its prevalence was not included by worldwide surveillance system. The main objective was to estimate the number of women who had smoked at least one cigarette during her pregnancy in comparison to not smoking women.

Methods

A systematic review and metanalysis was conducted searching on MEDLINE, Pubmed and Scopus on the 2 January 2020. Keywords were searched with English language limits from 2017 to 2019. Three authors independently screened all titles and abstracts applying the inclusion criteria, extracted the data, filled a database and two other authors assessed doubt eligibility. Quality was assessed by the NOS scale and the prevalence of smoking during pregnancy was assessed dividing the number of women smoking by the total number of pregnant women reported in the studies.

Results

A total of 1424 articles were screened and 726 were evaluated to be included in the final database of 234 articles. Of these, 85 were properly designed as cross-sectional, 85 were conducted as secondary analysis of cohort, and 64 were population-based studies. The overall smoking prevalence during pregnancy was 12% (95% CI 11%-13%) with an increase to 14% (95%CI 12%-15%) for studies that had smoking as the primary endpoint. In the metaregression analysis, the risk of smoking increased in South America (meta regression coefficent [MC]=0.46, p = 0.02). On the other hand, smoking prevalence decreased during time (studies conducted from 2000 to 2010 MC=-0.15, p = 0.008 and studies conducted after 2010 MC=-0.11, p = 0.04).

Conclusions

This study revealed a high prevalence of smoking during pregnancy worldwide with higher values than reported in another metanalysis conducted from 1985 to 2016. However, prevalence decreased during the three years considered and was higher in some countries that need more preventive interventions.

Key messages

Women of childbearing age need to be educated about the potential detrimental effects of tobacco use on the developing fetus and infant. Evidence-based smoking cessation interventions should be integrated into routine prenatal care.

Topographical Features of Graphene-Oxide-Functionalized Substrates Modulate Cancer and Healthy Cell Adhesion Based on the Cell Tissue of Origin

Graphene-derived materials, such as graphene oxide (GO), have been widely explored for biomedical and biological applications, including cancer research. Despite some recent works proving that GO inhibits the migration and invasion of different cancer cells, so far most of these in vitro studies have been conducted using GO sheets dispersed in solution or as a planar film. On the contrary, little is known about cellular activities, such as cell viability, adhesion, and spreading, when cancer cells interface with GO functionalized hydrogel-based surfaces, biomechanically and structurally more similar to the tumor environment. Here, we evaluate the interactions of human breast cancer cells (MDA-MB-231) with alginate (Alg)/GO hydrogel-based substrates, and compare them with a cancer cell line from human osteosarcoma (HOS) and healthy murine fibroblasts (3T3). We observed that GO addition selectively inhibits malignant breast cancer cell adhesion efficiency and spreading area, while promotes HOS and 3T3 adhesive processes. Furthermore, we did not observe the same results over Alg substrates with GO nanosheets dispersed in the medium, without embedment into the Alg. This suggests that cancer (MDA-MB-231 and HOS) and healthy (3T3) cell adhesion efficacy does not depend on the cellular tumoral nature and it is driven by the topographical cues provided by the GO-based substrates, whose physical-mechanical characteristics better mimic those of the cell native tissue. We envision that this study can provide a rational for future design and use of graphene-based nanomaterials for cancer research by deepening the knowledge of graphene-cancer cell specific interactions.

Intelligent Process Adaptation in the SmartPM System

The increasing application of process-oriented approaches in new challenging dynamic domains beyond business computing (e.g., healthcare, emergency management, factories of the future, home automation, etc.) has led to reconsider the level of flexibility and support required to manage complex knowledge-intensive processes in such domains. A knowledge-intensive process is influenced by user decision making and coupled with contextual data and knowledge production, and involves performing complex tasks in the “physical” real world to achieve a common goal. The physical world, however, is not entirely predictable, and knowledge-intensive processes must be robust to unexpected conditions and adaptable to unanticipated exceptions, recognizing that in real-world environments it is not adequate to assume that all possible recovery activities can be predefined for dealing with the exceptions that can ensue. To tackle this issue, in this paper we present SmartPM, a model and a prototype Process Management System featuring a set of techniques providing support for automated adaptation of knowledge-intensive processes at runtime. Such techniques are able to automatically adapt process instances when unanticipated exceptions occur, without explicitly defining policies to recover from exceptions and without the intervention of domain experts at runtime, aiming at reducing error-prone and costly manual ad-hoc changes, and thus at relieving users from complex adaptations tasks. To accomplish this, we make use of well-established techniques and frameworks from Artificial Intelligence, such as situation calculus, IndiGolog and classical planning. The approach, which is backed by a formal model, has been implemented and validated with a case study based on real knowledge-intensive processes coming from an emergency management domain.

WORKPAD

In complex emergency/disaster scenarios, persons from teams from various emergency-response organizations collaborate to achieve a common goal. In these scenarios, the use of smart mobile devices and applications can improve the collaboration dynamically. The lack of basic interaction principles can be dangerous, as it could increase the level of disaster or can make the efforts ineffective. This paper examines the main results of the project WORKPAD finished in December 2009. WORKPAD worked on a two-level architecture to support rescue operators during emergency management. The use of a user-centered design methodology during the entire development cycle has guaranteed that the architecture and resulting system meet end-user requirements. The feasibility of its use in real emergencies is also proven by a demonstration showcased with real operators. The paper includes qualitative and quantitative results and presents guidelines that can be useful in developing emergency-management systems.