NB-IoT via LEO satellites: An efficient resource allocation strategy for uplink data transmission

In this paper, we focus on the use of Low-Eart Orbit (LEO) satellites providing the Narrowband Internet of Things (NB-IoT) connectivity to the on-ground user equipment (UEs). Conventional resource allocation algorithms for the NBIoT systems are particularly designed for terrestrial infrastructures, where devices are under the coverage of a specific base station and the whole system varies very slowly in time. The existing methods in the literature cannot be applied over LEO satellite-based NB-IoT systems for several reasons. First, with the movement of the LEO satellite, the corresponding channel parameters for each user will quickly change over time. Delaying the scheduling of a certain user would result in a resource allocation based on outdated parameters. Second, the differential Doppler shift, which is a typical impairment in communications over LEO, directly depends on the relative distance among users. Scheduling at the same radio frame users that overcome a certain distance would violate the differential Doppler limit supported by the NB-IoT standard. Third, the propagation delay over a LEO satellite channel is around 4-16 times higher compared to a terrestrial system, imposing the need for message exchange minimization between the users and the base station. In this work, we propose a novel uplink resource allocation strategy that jointly incorporates the new design considerations previously mentioned together with the distinct channel conditions, satellite coverage times and data demands of various users on Earth. The novel methodology proposed in this paper can act as a framework for future works in the field.Comment: Tis work has been submitted to the IEEE IoT Journal for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessibl

Architectures and Key Technical Challenges for 5G Systems Incorporating Satellites

Satellite Communication systems are a promising solution to extend and complement terrestrial networks in unserved or under-served areas. This aspect is reflected by recent commercial and standardisation endeavours. In particular, 3GPP recently initiated a Study Item for New Radio-based, i.e., 5G, Non-Terrestrial Networks aimed at deploying satellite systems either as a stand-alone solution or as an integration to terrestrial networks in mobile broadband and machine-type communication scenarios. However, typical satellite channel impairments, as large path losses, delays, and Doppler shifts, pose severe challenges to the realisation of a satellite-based NR network. In this paper, based on the architecture options currently being discussed in the standardisation fora, we discuss and assess the impact of the satellite channel characteristics on the physical and Medium Access Control layers, both in terms of transmitted waveforms and procedures for enhanced Mobile BroadBand (eMBB) and NarrowBand-Internet of Things (NB-IoT) applications. The proposed analysis shows that the main technical challenges are related to the PHY/MAC procedures, in particular Random Access (RA), Timing Advance (TA), and Hybrid Automatic Repeat reQuest (HARQ) and, depending on the considered service and architecture, different solutions are proposed.Comment: Submitted to Transactions on Vehicular Technologies, April 201

Data circulation in health landscapes

This is the final version. Available from Alma DL Journals via the URL in this record. The crossing boundaries intends to open a dialogue between Science and Technology Studies, Social studies of Health and the emerging Data Journalism perspective. It explores major issues at stake in contemporary practices of producing and sharing data, with a focus on the COVID-19 pandemic

Occlusione intestinale su briglia in paziente con pregressa diagnosi di sindrome di Ogilv

A case of a 72-year-old man with abdominal pain and ileus is reported. Previous surgery for Ogilvie?s syndrome had been performed. Despite conservative therapy, the occlusive symptoms worsen. Therefore the patient was submitted to surgery. At laparotomy two abdominal adhesions were found and sectioned. The differential diagnosis between mechanical ileus and pseudo-obstruction for neuro-mechanics dissociation (Ogilvie?s syndrome) is difficult, particularly in patients with neurodegenerative diseases

Impact of chronic liver disease upon admission on COVID-19 in-hospital mortality: Findings from COVOCA study

Background Italy has been the first Western country to be heavily affected by the spread of SARS-COV-2 infection and among the pioneers of the clinical management of pandemic. To improve the outcome, identification of patients at the highest risk seems mandatory. Objectives Aim of this study is to identify comorbidities and clinical conditions upon admission associated with in-hospital mortality in several COVID Centers in Campania Region (Italy). Methods COVOCA is a multicentre retrospective observational cohort study, which involved 18 COVID Centers throughout Campania Region, Italy. Data were collected from patients who completed their hospitalization between March-June 2020. The endpoint was in-hospital mortality, assessed either from data at discharge or death certificate, whilst all exposure variables were collected at hospital admission. Results Among 618 COVID-19 hospitalized patients included in the study, 143 in-hospital mortality events were recorded, with a cumulative incidence of about 23%. At multivariable logistic analysis, male sex (OR 2.63, 95%CI 1.42–4.90; p = 0.001), Chronic Liver Disease (OR 5.88, 95%CI 2.39–14.46; p<0.001) and malignancies (OR 2.62, 95%CI 1.21–5.68; p = 0.015) disclosed an independent association with a poor prognosis, Glasgow Coma Scale (GCS) and Respiratory Severity Scale allowed to identify at higher mortality risk. Sensitivity analysis further enhanced these findings. Conclusion Mortality of patients hospitalized for COVID-19 appears strongly affected by both clinical conditions on admission and comorbidities. Originally, we observed a very poor outcome in subjects with a chronic liver disease, alongside with an increase of hepatic damage

“A good little tool to get to know yourself a bit better”: a qualitative study on users’ experiences of app-supported menstrual tracking in Europe

Background: Menstrual apps facilitate observation and analysis of menstrual cycles and associated factors through the collection and interpretation of data entered by users. As a subgroup of health-related apps, menstrual apps form part of one of the most dynamic and rapidly growing developments in biomedicine and health care. However, despite their popularity, qualitative research on how people engaging in period-tracking use and experience these apps remains scarce. Results: An inductive content analysis was performed and eight characteristics of app-supported menstrual tracking were identified: 1) tracking menstrual cycle dates and regularities, 2) preparing for upcoming periods, 3) getting to know menstrual cycles and bodies, 4) verifying menstrual experiences and sensations, 5) informing healthcare professionals, 6) tracking health, 7) contraception and seeking pregnancy, and 8) changes in tracking. Our study finds that period-tracking via apps has the potential to be an empowering practice as it helps users to be more aware of their menstrual cycles and health and to gain new knowledge. However, we also show that menstrual tracking can have negative consequences as it leads to distress in some cases, to privacy issues, and the work it requires can result in cessation. Finally, we present practical implications for healthcare providers and app developers. Conclusions: This qualitative study gives insight into users’ practices and experiences of app-supported menstrual tracking. The results provide information for researchers, health care providers and app designers about the implications of app-supported period-tracking and describe opportunities for patient-doctor interactions as well as for further development of menstrual apps.This research has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 675378

State-of-the-art space mission telecommand receivers

Since their dawning, space communications have been among the strongest driving applications for the development of error correcting codes. Indeed, space-to-Earth telemetry (TM) links have extensively exploited advanced coding schemes, from convolutional codes to Reed-Solomon codes (also in concatenated form) and, more recently, from turbo codes to low-density parity-check (LDPC) codes. The efficiency of these schemes has been extensively proved in several papers and reports. The situation is a bit different for Earth-to-space telecommand (TC) links. Space TCs must reliably convey control information as well as software patches from Earth control centers to scientific payload instruments and engineering equipment onboard (O/B) spacecraft. The success of a mission may be compromised because of an error corrupting a TC message: a detected error causing no execution or, even worse, an undetected error causing a wrong execution. This imposes strict constraints on the maximum acceptable detected and undetected error rates

Early downregulation of hsa-miR-144-3p in serum from drug-naïve Parkinson’s disease patients

open101siThis work was supported by the Horizon 2020 Framework Programme (Grant number 634821, PROPAG-AGING).Advanced age represents one of the major risk factors for Parkinson’s Disease. Recent biomedical studies posit a role for microRNAs, also known to be remodelled during ageing. However, the relationship between microRNA remodelling and ageing in Parkinson’s Disease, has not been fully elucidated. Therefore, the aim of the present study is to unravel the relevance of microRNAs as biomarkers of Parkinson’s Disease within the ageing framework. We employed Next Generation Sequencing to profile serum microRNAs from samples informative for Parkinson’s Disease (recently diagnosed, drug-naïve) and healthy ageing (centenarians) plus healthy controls, age-matched with Parkinson’s Disease patients. Potential microRNA candidates markers, emerging from the combination of differential expression and network analyses, were further validated in an independent cohort including both drug-naïve and advanced Parkinson’s Disease patients, and healthy siblings of Parkinson’s Disease patients at higher genetic risk for developing the disease. While we did not find evidences of microRNAs co-regulated in Parkinson’s Disease and ageing, we report that hsa-miR-144-3p is consistently down-regulated in early Parkinson’s Disease patients. Moreover, interestingly, functional analysis revealed that hsa-miR-144-3p is involved in the regulation of coagulation, a process known to be altered in Parkinson’s Disease. Our results consistently show the down-regulation of hsa-mir144-3p in early Parkinson’s Disease, robustly confirmed across a variety of analytical and experimental analyses. These promising results ask for further research to unveil the functional details of the involvement of hsa-mir144-3p in Parkinson’s Disease.openZago E.; Dal Molin A.; Dimitri G.M.; Xumerle L.; Pirazzini C.; Bacalini M.G.; Maturo M.G.; Azevedo T.; Spasov S.; Gomez-Garre P.; Perinan M.T.; Jesus S.; Baldelli L.; Sambati L.; Calandra Buonaura G.; Garagnani P.; Provini F.; Cortelli P.; Mir P.; Trenkwalder C.; Mollenhauer B.; Franceschi C.; Lio P.; Nardini C.; Adarmes-Gomez A.; Azevedo T.; Bacalini M.G.; Baldelli L.; Bartoletti-Stella A.; Bhatia K.P.; Marta B.-T.; Boninsegna C.; Broli M.; Dolores B.-R.; Calandra-Buonaura G.; Capellari S.; Carrion-Claro M.; Cilea R.; Clayton R.; Cortelli P.; Molin A.D.; De Luca S.; De Massis P.; Dimitri G.M.; Doykov I.; Escuela-Martin R.; Fabbri G.; Franceschi C.; Gabellini A.; Garagnani P.; Giuliani C.; Gomez-Garre P.; Guaraldi P.; Hagg S.; Hallqvist J.; Halsband C.; Heywood W.; Houlden H.; Huertas I.; Jesus S.; Jylhava J.; Labrador-Espinosa M.A.; Licari C.; Lio P.; Luchinat C.; Macias D.; Macri S.; Magrinelli F.; Rodriguez J.F.M.; Massimo D.; Maturo M.G.; Mengozzi G.; Meoni G.; Mignani F.; Milazzo M.; Mills K.; Mir P.; Mollenhauer B.; Nardini C.; Nassetti S.A.; Pedersen N.L.; Perinan-Tocino M.T.; Pirazzini C.; Provini F.; Ravaioli F.; Sala C.; Sambati L.; Scaglione C.L.M.; Schade S.; Schreglmann S.; Spasov S.; Strom S.; Tejera-Parrado C.; Tenori L.; Trenkwalder C.; Turano P.; Valzania F.; Ortega R.V.; Williams D.; Xumerle L.; Zago E.Zago E.; Dal Molin A.; Dimitri G.M.; Xumerle L.; Pirazzini C.; Bacalini M.G.; Maturo M.G.; Azevedo T.; Spasov S.; Gomez-Garre P.; Perinan M.T.; Jesus S.; Baldelli L.; Sambati L.; Calandra Buonaura G.; Garagnani P.; Provini F.; Cortelli P.; Mir P.; Trenkwalder C.; Mollenhauer B.; Franceschi C.; Lio P.; Nardini C.; Adarmes-Gomez A.; Azevedo T.; Bacalini M.G.; Baldelli L.; Bartoletti-Stella A.; Bhatia K.P.; Marta B.-T.; Boninsegna C.; Broli M.; Dolores B.-R.; Calandra-Buonaura G.; Capellari S.; Carrion-Claro M.; Cilea R.; Clayton R.; Cortelli P.; Molin A.D.; De Luca S.; De Massis P.; Dimitri G.M.; Doykov I.; Escuela-Martin R.; Fabbri G.; Franceschi C.; Gabellini A.; Garagnani P.; Giuliani C.; Gomez-Garre P.; Guaraldi P.; Hagg S.; Hallqvist J.; Halsband C.; Heywood W.; Houlden H.; Huertas I.; Jesus S.; Jylhava J.; Labrador-Espinosa M.A.; Licari C.; Lio P.; Luchinat C.; Macias D.; Macri S.; Magrinelli F.; Rodriguez J.F.M.; Massimo D.; Maturo M.G.; Mengozzi G.; Meoni G.; Mignani F.; Milazzo M.; Mills K.; Mir P.; Mollenhauer B.; Nardini C.; Nassetti S.A.; Pedersen N.L.; Perinan-Tocino M.T.; Pirazzini C.; Provini F.; Ravaioli F.; Sala C.; Sambati L.; Scaglione C.L.M.; Schade S.; Schreglmann S.; Spasov S.; Strom S.; Tejera-Parrado C.; Tenori L.; Trenkwalder C.; Turano P.; Valzania F.; Ortega R.V.; Williams D.; Xumerle L.; Zago E