E-health-IoT Universe: A Review

The Internet of Things (IoT) devices are able to collect and share data directly with other devices through the cloud environment, providing a huge amount of information to be gathered, stored and analyzed for data-analytics processes. The scenarios in which the IoT devices may be useful are amazing varying, from automotive, to industrial automation or remote monitoring of domestic environment. Furthermore, has been proved that healthcare applications represent an important field of interest for IoT devices, due to the capability of improving the access to care, reducing the cost of healthcare and most importantly increasing the quality of life of the patients. In this paper, we analyze the state-of-art of IoT in medical environment, illustrating an extended range of IoT-driven healthcare applications that, however, still need innovative and high technology-based solutions to be considered ready to market. In particular, problems regarding characteristics of response-time and precision will be examined.  Furthermore, wearable and energy saving properties will be investigated in this paper and also the IT architectures able to ensure security and privacy during the all data-transmission process. Finally, considerations about data mining applications, such as risks prediction, classification and clustering will be provided, that are considered fundamental issues to ensure the accuracy of the care processes

Hardware design of LIF with Latency neuron model with memristive STDP synapses

In this paper, the hardware implementation of a neuromorphic system is presented. This system is composed of a Leaky Integrate-and-Fire with Latency (LIFL) neuron and a Spike-Timing Dependent Plasticity (STDP) synapse. LIFL neuron model allows to encode more information than the common Integrate-and-Fire models, typically considered for neuromorphic implementations. In our system LIFL neuron is implemented using CMOS circuits while memristor is used for the implementation of the STDP synapse. A description of the entire circuit is provided. Finally, the capabilities of the proposed architecture have been evaluated by simulating a motif composed of three neurons and two synapses. The simulation results confirm the validity of the proposed system and its suitability for the design of more complex spiking neural network

Energy Consumption Saving in Embedded Microprocessors Using Hardware Accelerators

This paper deals with the reduction of power consumption in embedded microprocessors. Computing power and energy efficiency are becoming the main challenges for embedded system applications. This is, in particular, the caseof wearable systems. When the power supply is provided by batteries, an important requirement for these systems is the long service life. This work investigates a method for the reduction of microprocessor energy consumption, based on the use of hardware accelerators. Their use allows to reduce the execution time and to decrease the clock frequency, so reducing the power consumption. In order to provide experimental results, authors analyze a case of study in the field of wearable devices for the processing of ECG signals. The experimental results show that the use of hardware accelerator significantly reduces the power consumption

e health iot universe a review

The Internet of Things (IoT) devices are able to collect and share data directly with other devices through the cloud environment, providing a huge amount of information to be gathered, stored and analyzed for data-analytics processes. The scenarios in which the IoT devices may be useful are amazing varying, from automotive, to industrial automation or remote monitoring of domestic environment. Furthermore, has been proved that healthcare applications represent an important field of interest for IoT devices, due to the capability of improving the access to care, reducing the cost of healthcare and most importantly increasing the quality of life of the patients. In this paper, we analyze the state-of-art of IoT in medical environment, illustrating an extended range of IoT-driven healthcare applications that, however, still need innovative and high technology-based solutions to be considered ready to market. In particular, problems regarding characteristics of response-time and precision will be examined. Furthermore, wearable and energy saving properties will be investigated in this paper and also the IT architectures able to ensure security and privacy during the all data-transmission process. Finally, considerations about data mining applications, such as risks prediction, classification and clustering will be provided, that are considered fundamental issues to ensure the accuracy of the care processes

811. Correction of Laminin-5 β3 Chain Deficiency in Human Epidermal Stem Cells by Transcriptionally Targeted Lentiviral Vectors

Mutations in any of the genes encoding the laminin 5 heterotrimer (|[alpha]|3, |[beta]|3 and |[gamma]|2) cause junctional epidermolysis bullosa (JEB), a severe and often fatal skin adhesion defect. We and others have shown that expression of a retrovirally transferred |[beta]|3-chain cDNA in keratinocytes from affected patients reconstitutes normal synthesis, assembly and secretion of laminin 5, and corrects the adhesion defect in vitro and in vivo. We have recently started a phase-I clinical trial of gene therapy of JEB based on transplantation of cultured skin derived from autologous epidermal stem cells transduced with a MLV-derived retroviral vector. Since gamma- retroviral vectors have raised safety concerns for the genotoxic risk associated with the insertion of LTR elements into the human genome, we developed an alternative gene transfer strategy based on LTR- modified, HIV-derived lentiviral vectors. Two self-inactivating (SIN) lentiviral vectors were built, in which expression of either GFP or a LAMB3 cDNA is under the control of either a constitutive promoter (PGK) or the keratinocyte-specific, 2.2-kb promoter-enhancer of keratin 14 (K14). In a third construct, expression of the transgene is under the control of the viral LTR, modified by replacing the U3 region with two K14 enhancer elements. Analysis in human keratinocyte cultures and in full-thickness human skin equivalents reconstituted onto immunodeficient mice showed that GFP expression directed by the K14 elements is tissue-specific and restricted to the basal layer of the epidermis. Expression of laminin5 from the three alternative vectors was evaluated in keratinocyte cultures derived from skin biopsies of JEB patients. Biochemical and cell kinetics assays demonstrated transduction of epidermal clonogenic stem/progenitor cells and full phenotypic correction of JEB keratinocytes with all vectors. Southern blot analysis of individual cell clones showed that LTR-modified lentiviral vectors are genetically stable and integrate in multiple copies in the human genome. This study shows that the use of lentiviral vectors transcriptionally targeted to the basal keratinocytes by the insertion of restricted enhancer elements is an effective, and potentially safer, alternative for gene therapy of JEB

Short-term perioperative treatment with ambroxol reduces pulmonary complications and hospital costs after pulmonary lobectomy: a randomized trial☆

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Smarter City: Smart Energy Grid based on Blockchain Technology

The improvement of the Quality of Life (QoL) and the enhancement of the Quality of Services (QoS) represent the main goal of every city evolutionary process. It is possible making cities smarter promoting innovative solutions by use of Information and Communication Technology (ICT) for collecting and analysing large amounts of data generated by several sources, such as sensor networks, wearable devices, and IoT devices spread among the city. The integration of different technologies and different IT systems, needed to build smart city applications and services, remains the most challenge to overcome. In the Smart City context, this paper intends to investigate the Smart Environment pillar, and in particular the aspect related to the implementation of Smart Energy Grid for citizens in the urban context. The innovative characteristic of the proposed solution consists of using the Blockchain technology to join the Grid, exchanging information, and buy/sell energy between the involved nodes (energy providers and private citizens), using the Blockchain granting ledger