In the paper a traffic control strategy based on ramp metering is proposed in order to reduce traffic emissions in freeway stretches. Such strategy is devised to take into account that two vehicle classes are present ...
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In this chapter, the train load planning problem for maritime container terminals is dealt with. In the most general case, the optimal assignment of containers to train slots is done considering that it is possible to...
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A reactive oxygen species-mediated targeting system has been used to selectively kill cancer cells. Two different cell lines, normal and cancer cells, have been cultured and treated with a peroxide olive oil (K600) in...
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ISBN:
(纸本)9781424492695
A reactive oxygen species-mediated targeting system has been used to selectively kill cancer cells. Two different cell lines, normal and cancer cells, have been cultured and treated with a peroxide olive oil (K600) in simple solution and in form of nanoemulsion (N-K600). Preliminary results of both treatments have been compared.
This paper considers a hybrid remanufacturing and manufacturing system on a closed-loop supply chain. The system manufactures a set of new products characterized by a multi-level structure through multi-stage assembly...
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ISBN:
(纸本)9789897580406
This paper considers a hybrid remanufacturing and manufacturing system on a closed-loop supply chain. The system manufactures a set of new products characterized by a multi-level structure through multi-stage assembly operations. The required raw or basic parts can be acquired new from suppliers or provided as new by a de-manufacturing facility which performs a remanufacturing process from acquired old products returned by customers. The quality of returned products has impact on the quantity of recovered basic parts which can be assumed as good as new, and on the duration of the remanufacturing process. The considered problem is to determine the production lots for the system machines as well as the quantity of new basic parts and retuned products to be acquired in order to satisfy a deterministic demand in the time buckets of the planning period. The performance criterion to be minimized includes the acquisition costs for the new and returned items, inventory and production costs, recovering and disposal costs, and tardiness costs. A mixed-integer programming model is proposed and its effectiveness is demonstrated by experiments on a case study.
The number of arthroplasties is rapidly increasing, but the ability of current biomaterials to mimic the natural environment of human tissues is very limited. It would be desirable to fabricate implant surface nanocoa...
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Automated distribution warehouses in which pallet and roll pallet loads are transported by means of forklift AGVs are considered in this work, with the objective of defining a mathematical model which accurately repre...
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ISBN:
(纸本)9789897580406
Automated distribution warehouses in which pallet and roll pallet loads are transported by means of forklift AGVs are considered in this work, with the objective of defining a mathematical model which accurately represents the behaviour of AGVs in the system. AGVs can move freely in the warehouse (an open path AGV system is adopted), and their transportation activities can be modelled as a sequence of elementary or basic actions. In the paper, a coloured Petri net (CPN) model is proposed. It allows representing any sequence of elementary actions of AGVs (including pick-up and drop-off activities), and accurately models the interactions among AGVs, in order to guarantee the safety during the execution of activities. The CPN model can be used to analyse and implement deadlock prevention and deadlock recovery strategies, and it has been adopted in the building of a discrete-event simulator which is employed to analyse the system's performance and to evaluate scheduling policies for transportation tasks.
This paper presents a model and an infrastructure for technology enhanced learning applications and discusses issues in using Semantic Web, Linked Data, and Internet of Things. In particular, we apply the novel paradi...
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Parkinson's disease (PD) is a progressive neurodegenerative disorder that affects ~6 million people worldwide. Deep brain stimulation (DBS) of the subthalamic nucleus (STN) reduces motor disability and improves qu...
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Parkinson's disease (PD) is a progressive neurodegenerative disorder that affects ~6 million people worldwide. Deep brain stimulation (DBS) of the subthalamic nucleus (STN) reduces motor disability and improves quality of life in patients with advanced PD who have severe levodopa-induced motor complications. Precise targeting of STN regions is a key factor for effective stimulation therapy. Dorsolateral neurons respond to motor movements and receive inputs mainly from the motor cortex. On the other hand, ventral portion is more related to cognitive functions. Several studies found a correlation between clinical motor scores (e.g. levodopa-related motor improvement) and the mean firing rate and signal power in the beta band. Albeit such findings are widely accepted, they might oversimplify the role of the STN in motor control. In this study, we characterized the spiking and bursting activity of STN sub-regions using intra operative multi electrode recordings and highly accurate channel localization techniques. We described no difference between dorsolateral and ventral portion of STN. Our findings suggest that the existing functional difference between STN sub-regions possibly arises from different network connections rather than intrinsic neuronal properties.
Robots for the elderly are a particular category of home assistive robots, helping people in the execution of daily life tasks to extend their independent life. Such robots should be able to determine the level of ind...
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Robots for the elderly are a particular category of home assistive robots, helping people in the execution of daily life tasks to extend their independent life. Such robots should be able to determine the level of independence of the user and track its evolution over time, to adapt the assistance to the person capabilities and needs. Human Activity Recognition systems employ various sensing strategies, relying on environmental or wearable sensors, to recognize the daily life activities which provide insights on the health status of a person. The main contribution of the article is the design of an heterogeneous information management framework, allowing for the description of a wide variety of human activities in terms of multi-modal environmental and wearable sensing data and providing accurate knowledge about the user activity to any assistive robot.
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