1,720,982 research outputs found
External pressures for e-business inclusion and e-business involvement among SMEs: an empirical study
No full textNo abstract availabl
EWA: A Single Size Self-adapting Upper Limb Exoskeleton Without Adjustment
No full textThe work presents an exoskeleton without adjustment (EWA) for the functionality of the upper limb. The main characteristic of the exoskeleton is the self-adapting between the human and exoskeleton joints to avoid overstress in the human joints furthermore it allows a reduced non-linearity between the motor input angle and the human joint output angle. A dummy with variable length of its body segments was realized inserting a flexible force sensor into its joints. In vitro experiments verified that the exoskeleton does not produce overstress in the joints of the dummy
EWA 2: A Single Size Self-adapting Exoskeleton Without Adjustment for the Upper Limb
No full textThis paper focuses on the design of an upper limb exoskeleton without articular adjustment. It includes a shoulder articulation and explores potential transmission systems applicable to the exoskeletal actuators. A key feature of this exoskeleton is its ability to dynamically adapt between human and exoskeleton joints, thereby mitigating stress on human joints and reducing non-linearity between motor input and human joint output angles. To assess the performance of a 3D printed prototype of the exoskeleton, a dummy with adjustable body segment lengths was fabricated. In vitro experiments utilizing a flexible force sensor confirm that the exoskeleton does not subject the dummy’s joints to overstress
An Analysis of Technology-mediated Management Education. Proposing a Framework
No full textAlthough technology-mediated education programs are gathering growing interest, little attention has been paid to the strategic aspects of those innovative programs. In order to create programs able to build competitive advantage, business schools should decide very carefully first of all what kind of strategy they want to implement. In our review we highlights that previous experimentations are generally referred as a matter of technology, while they are strongly related to the strategy and the organization of a business school. Technology will follow. We then propose a framework to guide business school in their decisions
Attività motoria ed abitudini voluttuarie in studenti delle professioni sanitarie in Puglia.
No full textNetworks to stop the epidemic spreading
No full textToday, only two methods are viable to immunize people against an epidemic spreading: vaccine and quarantine, but a prolonged quarantine extended to the whole population implies unsustainable costs, while vaccinations take a lot of time. Nevertheless, it would be possible to stop the propagation of viruses and alleviate the economic activities lockdown greatly, vaccinating or quarantining only a small percentage of the population using well-known methodologies to select people to immunize. From a practical point of view, it is necessary to provide the social or relational national network, which will constitute the spectral graph analysis, our primary methodological tool. This requires to generate a graph of many nodes (people) and links (relations, of any kind) mapping the whole population. The connections are extracted from the national register, media, web resources, cellular phones and any other source, possibly after an anonymizing step. The procedure is inherently dynamic since relations and people geo-localization change continuously; therefore, a real-time update must be implemented. Fortunately, internet data collection mechanisms can provide vast information to support the update step. Once the National Relation Network is available, individuals that could propagate more dangerously the infection (which is subtly different from propagating to more people the infection) will be identified quickly and immunized with high priority. A careful selection of these individuals may stop or slow down the spreading, safeguarding at the same time, the economic system. Likewise, the National Relational Network can directly indicate the subjects hit financially by the epidemic without additional computational costs. Moreover, the Graph theory usage will allow applying its numerous, impressive achievements to the epidemic containment. We warn that no real experiment has been conducted on a large scale, so no evidence is available; however theoretical demonstrations and computer simulations are encouraging. Finally, we do not intend to present a formal treatment of the issue or foster academic discussions; instead, we propose a practical approach to the epidemic spreading problem
Estimating the epidemic growth dynamics within the first week
No full textInformation about the early growth of infectious outbreaks is indispensable to estimate the epidemic spreading. A large number of mathematical tools have been developed to this end, facing as much large number of different dynamic evolutions, ranging from sub-linear to super-exponential growth. Of course, the crucial point is that we do not have enough data during the initial outbreak phase to make reliable inferences. Here we propose a straightforward methodology to estimate the epidemic growth dynamic from the cumulative infected data of just a week, provided a surveillance system is available over the whole territory. The methodology, based on the Newcomb-Benford Law, is applied to the Italian covid 19 case-study. Results show that it is possible to discriminate the epidemic dynamics using the first seven data points collected in fifty Italian cities. Moreover, the most probable approximating function of the growth within a six-week epidemic scenario is identified
The Network Topology of Connecting Things: Defence of IoT Graph in the Smart City
No full textThe Internet of Things (IoT) is a novel paradigm based on the connectivity among different entities or “things”. IoT environment in the form of interconnected smart “things” represents a great potential in terms of effective and efficient solutions related to urban context (e.g., system architecture, design and development, human involvement, data management and applications). On the other hand, with the introduction of the IoT environment, devices and network security have become a fundamental and challenging issue. Moreover, growing number of users connected via IoT system necessitates focusing on the vulnerability of complex networks and defence challenges at the topological level. This paper addresses these challenges from the perspective of graph theory. In this work, the authors introduce a novel AV11 algorithm to identify the most critical and influential IoT nodes in a Social IoT (SIoT) network in a smart city context using ENEA Portici CRESCO infrastructure
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