23 research outputs found

    TOPOLINANO & MAGCAD: A DESIGN AND SIMULATION FRAMEWORK FOR THE EXPLORATION OF EMERGING TECHNOLOGIES

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    We developed a design framework that enables the exploration and analysis of emerging beyond-CMOS technologies. It is composed of two powerful tools: ToPoliNano and MagCAD. Different technologies are supported, and new ones could be added thanks to their modular structure. ToPoliNano starts from a VHDL description of a circuit and performs the place&route following the technological constraints. The resulting circuit can be simulated both at logical or physical level. MagCAD is a layout editor where the user can design custom circuits, by plac-ing basic elements of the selected technology. The tool can extract a VHDL netlist based on compact models of placed elements derived from experiments or physical simulations. Circuits can be verified with standard VHDL simulators. The design workflow will be demonstrated at the U-booth to show how those tools could be a valuable help in the studying and development of emerging technologies and to obtain feedbacks from the scientific community

    FUNCODE: Effective Device-to-System Analysis of Field Coupled Nanocomputing Circuit Designs

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    Many beyond-CMOS technologies, based on different switching mechanisms, are arising. Field-coupled technologies are the most promising as they can guarantee an extremely low-power consumption and combine logic and memory into the same device. However, circuit-level explorations, like layout verification and analysis of the circuit performance, considering the constraints of the target technology, cannot be done using existing tools. Here, we propose a methodology to take on this challenge. We present FUNCODE (FUNction & COnnection DEtection), an algorithm that can detect element connections, functions and errors of custom-layouts and generate its corresponding VHDL netlist. It is proposed for in-plane and perpendicular Nano Magnetic Logic as a case study. FUNCODE netlists, which take into account the physical behavior of the technology, were verified using circuits with increasing complexity, from 6 up to 1400 gates with a number of layout elements varying from 200 to 2.3e6

    Successful Treatment of Disseminated Nocardiosis Complicated by Cerebral Abscess with Ceftriaxone and Amikacin: Case Report

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    We report the case of an 85-year-old female patient who suffered from disseminated Nocardia asteroides infection complicated by a cerebral abscess. Treatment with amikacin for 2 weeks and ceftriaxone for 6 weeks led to complete recovery, and there was no recurrence of disease over a follow-up period of 12 months after therapy. The use of ceftriaxone in combination with amikacin might significantly shorten the duration of treatment for patients with disseminated nocardiosis. This combination of antibiotics merits further investigation with use of a larger sample of patient

    On the impact of the stem electrical impedance in neural network algorithms for plant monitoring applications

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    Smart agriculture offers an environmental-friendly path with respect to unsustainable farming that depletes the nutrients in the soil leading to a persistent degradation of ecosystems caused by population growth. Artificial Intelligence (AI) can help mitigate this issue by predicting plant health status to reduce the use of chemicals and optimize water usage. This paper proposes a custom framework to train neural networks and a comparison among different models to point out the impact and the importance of the stem electrical impedance in addition to environmental parameters for plant monitoring applications. In particular, the paper demonstrates how stem electrical impedance improves the accuracy of the proposed neural network application for plant status classification. The data set is composed of electrical impedance spectra and environmental data acquired on four tobacco plants for a two-month-long experiment. In this paper, we describe the acquisition system architecture, the feature composition of the data set, a general overview of the developed framework, and the training of the neural networks showing the different results considering both the stem impedance and the environmental parameters

    ToPoliNano and fiction: Design Tools for Field-coupled Nanocomputing

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    Field-coupled Nanocomputing (FCN) is a computing concept with several promising post-CMOS candidate implementations that offer tremendously low power dissipation and highest processing performance at the same time. Two of the manifold physical implementations are Quantum-dot Cellular Automata (QCA) and Nanomagnet Logic (NML). Both inherently come with domain-specific properties and design constraints that render established conventional design algorithms inapplicable. Accordingly, dedicated design tools for those technologies are required. This paper provides an overview of two leading examples of such tools, namely fiction and ToPoliNano. Both tools provide effective methods that cover aspects such as placement, routing, clocking, design rule checking, verification, and logical as well as physical simulation. By this, both freely available tools provide platforms for future research in the FCN domain

    Long-Range Low-Power Soil Water Content Monitoring System for Precision Agriculture

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    World population growth and desertification are increasing the food demand. Food production must increase to ensure food security in the following years. Smart agriculture tries to improve food production thanks to the adoption of electronic sensors to monitor and control fruit and vegetable crops. Another critical point in agriculture is the use of potable water. Precision irrigation strategies can be implemented to reduce water waste and increase crop production. This paper proposes a long-range, low-power sensor node to monitor soil water content. It is possible to place multiple sensor nodes in the field and use the gathered data to determine the most suitable irrigation strategy. The node communicates thanks to the LoRa protocol and it can also be used in remote areas where it is impossible to have an internet connection

    Effect of cadence on locomotor–respiratory coupling during upper-body exercise

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    Introduction: Asynchronous arm-cranking performed at high cadences elicits greater cardiorespiratory responses compared to low cadences. This has been attributed to increased postural demand and locomotor–respiratory coupling (LRC), and yet, this has not been empirically tested. This study aimed to assess the effects of cadence on cardiorespiratory responses and LRC during upper-body exercise. Methods: Eight recreationally-active men performed arm-cranking exercise at moderate and severe intensities that were separated by 10 min of rest. At each intensity, participants exercised for 4 min at each of three cadences (50, 70, and 90 rev min−1) in a random order, with 4 min rest-periods applied in-between cadences. Exercise measures included LRC via whole- and half-integer ratios, cardiorespiratory function, perceptions of effort (RPE and dyspnoea), and diaphragm EMG using an oesophageal catheter. Results: The prevalence of LRC during moderate exercise was highest at 70 vs. 50 rev min−1 (27 ± 10 vs. 13 ± 9%, p = 0.000) and during severe exercise at 90 vs. 50 rev min−1 (24 ± 7 vs. 18 ± 5%, p = 0.034), with a shorter inspiratory time and higher mean inspiratory flow (p < 0.05) at higher cadences. During moderate exercise, (Formula presented.) and fC were higher at 90 rev min−1 (p < 0.05) relative to 70 and 50 rev min−1 ((Formula presented.) 1.19 ± 0.25 vs. 1.05 ± 0.21 vs. 0.97 ± 0.24 L min−1; fC 116 ± 11 vs. 101 ± 13 vs. 101 ± 12 b min−1), with concomitantly elevated dyspnoea. There were no discernible cadence-mediated effects on diaphragm EMG. Conclusion: Participants engage in LRC to a greater extent at moderate-high cadences which, in turn, increase respiratory airflow. Cadence rate should be carefully considered when designing aerobic training programmes involving the upper-limbs

    [Endocarditis prophylaxis with amoxicillin, clindamycin or erythromycin? Serum bacteriostatic and bactericidal effect against Streptococcus viridans]

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    The effectiveness of antibiotic prophylaxis against endocarditis was assessed by testing the bactericidal and bacteriostatic action in serum of 12 healthy volunteers who had taken the recommended antibiotics according to laid down guidelines. Blood was obtained from these subjects every two hours for 12 hours after oral intake of amoxicillin (3 g as a single dose), clindamycin (600 mg a single dose) or erythromycin (1.5 g plus another 0.5 g after six hours), the serum being tested against three Strep. viridans strains. Two of the three strains were "tolerant", i.e. in relation to the minimal inhibition concentration (MIC) their growth was inhibited, but--in relation to the minimal bactericidal concentration (MBC)--they were not killed. A bacteriostatic effect by amoxicillin and clindamycin was demonstrated by a micromethod against all three strains during the 12-hour period. But erythromycin did not achieve bacteriostasis in all serum samples. A bactericidal effect was demonstrated only in those samples that contained amoxicillin, and then only against the non-tolerant of the three strains. These results support the view that amoxicillin and clindamycin are effective in the prophylaxis against Strep. viridans bacteraemia because of their constant bacteriostatic effect, as measured in serum

    Ciprofloxacin-induced hematuria

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    We used ciprofloxacin, a quinolone-derivative, to treat a lung infection due to Pseudomonas aeruginosa in an adult cystic fibrosis patient. On three different occasions the use of ciprofloxacin was associated with the development of an asymptomatic hematuria with red blood cell casts. The mechanism responsible for this hematuria is presently unknown, but clinicians should be aware of this potential adverse effect of ciprofloxacin
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