4,464 research outputs found
Time-resolved charge detection in graphene quantum dots
We present real-time detection measurements of electron tunneling in a
graphene quantum dot. By counting single electron charging events on the dot,
the tunneling process in a graphene constriction and the role of localized
states are studied in detail. In the regime of low charge detector bias we see
only a single time-dependent process in the tunneling rate which can be modeled
using a Fermi-broadened energy distribution of the carriers in the lead. We
find a non-monotonic gate dependence of the tunneling coupling attributed to
the formation of localized states in the constriction. Increasing the detector
bias above 2 mV results in an increase of the dot-lead transition rate related
to back-action of the charge detector current on the dot.Comment: 8 pages, 6 figure
Communication Through Motion: Legibility of Multi-Robot Systems
The interaction between a user and a multi-robot system in a shared environment is a relatively uncharted topic. But, as these types of systems will increase in the future years, an efficient way of communication is necessary. To this aim, it is interesting to discover if a multi-robot system can communicate its intentions exploiting only some motion-variables, which are characteristics of the motion of the robots. This study is about the legibility of a multi-robot system: In particular, we focus on the influence of these motion-variables on the legibility of more than one group of robots that move in a shared environment with the user. These motion-variables are: Trajectory, dispersion and stiffness. They are generally used to define the motion of a group of mobile robots. Trajectory and dispersion were found relevant for the correctness of the communication between the user and the multi-robot system, while stiffness was found relevant for the rapidity of communication. The analysis of the influence of the motion-variables was carried out with an ANOVA (analysis of variance) based on a series of data coming from an experimental campaign conducted in a virtual reality set-up
Feasibility of manufacturing a patient-specific spinal implant
Spinal fusion is performed for degenerative spinal condition when conservative measures fail. Implant size and shape are not standardised between manufacturers, and best match often means compromises. Bioprinting offers a unique opportunity to create a tailor-made solution. PURPOSE: The goal of this study was to design and manufacture a 3D-printed lumbar cage for lumbar interbody fusion
AUTOMATIC ASSESSMENT OF LAKE STATUS USING AN OPEN SOURCE APPROACH: LAKE LUGANO'S CASE STUDY
Abstract. Climate change and human activities are increasingly threatening water resources. In particular sub-alpine lakes are fundamental not only for tourism or other economical activities, but also as a source of water. In this context, there is a strong need to monitor such resources to understand, study and react to known and unknown impacts, so that appropriate mitigation actions can be taken. Unfortunately, although monitoring data already exist for many of these lakes, the information is archived in different formats and servers undermining the full exploitation of data and preventing a more efficient data management. The aim of this work is to improve this situation by implementing a system that integrates and standardizes data coming from different sources. In addition, the system integrates web based tools that estimate lake state indicators using open source software and standard. Thanks to this system, it will be possible to exploit the data potential more fully. This paper focuses on the achievements reached by the research carried out on Lake Lugano in the context of the project SIMILE after two years of work
Memoria comunista e memoria del comunismo in Italia dopo il 1989. Il caso dei militanti bolognesi
The main issue addressed by this research is the relationship between collective memory, identity and political culture. In particular, it focuses on the importance of the activity of interpretation and reconstruction of the past which is constitutive of processes of social and political change where specific collective actors are involved. The research is based on a case study: the theoretical issues are discussed through the empirical investigation of the memory of the historical and cultural experience of the Italian Communist Party (PCI) as it is kept by those who remained party members until the moment of its transformation, between 1989 and 1991, into a new political actor, identified by a new symbol and a new name. A group of 40 former militants were selected and interviewed in the city of Bologna, capital of one of the Italian regions \u2013 Emilia Romagna \u2013 whose history has always been closely tied to the history of the PCI. The analysis of the militants\u2019 memories will thus tell us something about the transformation of what is still remembered as the most important left-wing subculture of western Europe
A neutron scattering study of the interplay between structure and magnetism in Ba(FeCo)As
Single crystal neutron diffraction is used to investigate the magnetic and
structural phase diagram of the electron doped superconductor
Ba(FeCo)As. Heat capacity and resistivity measurements have
demonstrated that Co doping this system splits the combined antiferromagnetic
and structural transition present in BaFeAs into two distinct
transitions. For =0.025, we find that the upper transition is between the
high-temperature tetragonal and low-temperature orthorhombic structures with
( K) and the antiferromagnetic transition occurs at
K. We find that doping rapidly suppresses the
antiferromagnetism, with antiferromagnetic order disappearing at . However, there is a region of co-existence of antiferromagnetism and
superconductivity. The effect of the antiferromagnetic transition can be seen
in the temperature dependence of the structural Bragg peaks from both neutron
scattering and x-ray diffraction. We infer from this that there is strong
coupling between the antiferromagnetism and the crystal lattice
Computational models for characterisation and design of patient-specific spinal implant
BACKGROUND CONTEXT: Spinal fusion is designed to reduce movements between vertebrae and therefore pain. The most used devices for this procedure are mainly made of titanium or polyether ether ketone (PEEK). However, the mismatch between devices, with standard shapes and materials, and the surrounding bones can lead to suboptimal outcomes. Computational models, namely, Finite Element Analyses (FEA), can be employed to optimise existing device and design more effective solutions.
PURPOSE: The goal of this study was to compare the performance of different materials and material densities for spinal cages, and to design a novel geometry which can ideally match the anatomical characteristics of a patient.
STUDY DESIGN/SETTING: Computational.
PATIENT SAMPLE: Nil.
OUTCOME MEASURES: Nil.
METHODS: FEA were set up to simulate compression (400 N) and bending (7.5 Nm) on a generic cage design. Three materials were modelled: titanium, PEEK and polycarbonate. Polycarbonate was included as widely available within additive manufacturing techniques. For each of the cages, four designs were modelled with varying material filling density. Furthermore, a new cage was modelled to match the pre-operative computed tomography (CT) of a patient exactly. The patient-specific cage was also tested by means of FEA.
RESULTS: Stress distribution was compared between all the three materials tested. Consistently, stresses increased with reducing material density. Stress peak values were lower than the respective risk of failure in all the simulated cases, confirming the feasibility of polycarbonate implants. The patient-specific design showed even stress distribution consistently within anatomical constraints.
CONCLUSIONS: Computational analyses suggested the feasibility of a lighter, cheaper and patient-specific cage for spinal fusion
Comparison and calibration of a real-time virtual stenting algorithm using Finite Element Analysis and Genetic Algorithms
In this paper, we perform a comparative analysis between two computational methods for virtual stent deployment: a novel fast virtual stenting method, which is based on a spring–mass model, is compared with detailed finite element analysis in a sequence of in silico experiments. Given the results of the initial comparison, we present a way to optimise the fast method by calibrating a set of parameters with the help of a genetic algorithm, which utilises the outcomes of the finite element analysis as a learning reference. As a result of the calibration phase, we were able to substantially reduce the force measure discrepancy between the two methods and validate the fast stenting method by assessing the differences in the final device configurations
Plankton DNA extraction from Sterivex filter units
The objective of this protocol is to provide a reliable and replicable method for the DNA extraction of lake micro-plankton to be used for downstream DNA analysis. This protocol is one of those proposed by the Eco-AlpsWater consortium to promote the implementation of High Throughput Sequencing (HT S) of environmental DNA (eDNA) in the biomonitoring and ecological assessment of water bodies.
The extraction is performed from samples filtered through Sterivex cartridges (Sterivex™ GP 0.22μm) and stored at -20°C, as described in the protocol dx.doi.org/10.17504/protocols.io.xn6fmhe, and with the use of the DNeasy® PowerWater Sterivex Kit (QIAGEN) with specific modifications adapted to plankton DNA extraction.
The application proposed here, in the context of EcoAlpsWater, aims at comparing DNA inventories to traditional phytoplanktonic inventories and at characterizing more broadly the micro-planktonic diversity through eDNA analysis (including bacteria).
This protocol is part of the deliverables provided by the WP1 of the Eco-AlpsWater project. All members of the EcoAlpsWater consortium (http://www.alpine-space.eu/projects/eco-alpswater/en/home) contributed to the optimization of this protocol
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