12 research outputs found

    A Secure Real-time Multimedia Streaming through Robust and Lightweight AES Encryption in UAV Networks for Operational Scenarios in Military Domain

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    multimodal data encryption and decryption for security applications in protected environments like espionage, situational awareness, monitoring, and counter-UAV. Data is captured from drones equipped with microphone arrays and cameras. This is performed by exploiting acoustic event analysis, video tracking, and recognition, performed on a ground station. All the communications are delivered in a secure data channel. Integrity and secrecy of the sensitive data acquired by drones must be guaranteed until the data is delivered in real-time from UAVs to the destination node. A possible data exploit may cause critical problems if the data is intercepted by malicious attackers. Being the drones equipped with low energy consuming devices with low computational power, like single-board-computers, a real-time lightweight application-level AES encryption, in addition to the MAC encryption of the wireless communication channel, has been considered. In the experiment, the encryption and decryption process has been optimized, even under adverse transmission conditions ensuring continuous data encryption even if some packets are lost or the connection is repeatedly dropped and reestablished

    Onboard Audio and Video Processing for Secure Detection, Localization, and Tracking in Counter-UAV Applications

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    Nowadays, UAVs are of fundamental importance in numerous civil applications like search and rescue and military applications like monitoring and patrolling or counter-UAV where the remote UAV nodes collect sensor data. In the last case, flying UAVs collect environmental data to be used to contrast external attacks launched by adversary drones. However, due to the limited computing resources on board of the acquisition UAVs, most of the signal processing is still performed on a ground central unit where the sensor data is sent wirelessly. This poses serious security problems from malicious entities such as cyber attacks that exploit vulnerabilities at the application level. One possibility to reduce the risk is to concentrate part of the computing onboard of the remote nodes. In this context, we propose a framework where detection of nearby drones and their localization and tracking can be performed in real-time on the small computing devices mounted on board of the drones. Background subtraction is applied to the video frames for pre-processing with the objective of an on-board UAV detection using machine-vision algorithms. For the localization and tracking of the detected UAV, multi-channel acoustic signals are instead considered and DOA estimations are obtained through the MUSIC algorithm. In this work, the proposed idea is described in detail along with some experiments and, then, methods of effective implementation are provided

    Humoral immunity response to HERV-K/W differentiates between amyotrophic lateral sclerosis and other neurological diseases

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    BACKGROUND AND PURPOSE: Human endogenous retroviruses-K/W seem play a role in fostering and exacerbation of some neurological diseases, including amyotrophic lateral sclerosis (ALS). Given these findings, we investigated the immunity response against HERV-K and HERV-W envelope surface (env-su) glycoprotein antigens in serum and cerebrospinal fluid (CSF) of ALS, multiple sclerosis (MS) and Alzheimer's disease (AD) patients, and in healthy controls (HCs). METHODS: Four antigenic peptides derived respectively from HERV-K and HERV-W env surface proteins were studied in twenty-one definite or probable ALS, twenty-six possible or definite relapsing-remitting (RR) MS, eighteen patients with AD and thirty-nine HCs. An indirect ELISA was set up to detect specific antibodies (Abs) against env surface peptides. RESULTS: Among the measured levels of Abs against the four different HERV-K peptide fragments, HERV-K env-su 19-37 only was significantly elevated in ALS compared to other groups, both in serum and CSF. Instead, among the Abs levels directed against the four different HERV-W peptide fragments, only HERV-W env-su 93-108 and HERV-W env-su 248-262 were significantly elevated, in serum and CSF of MS, compared to other groups. In ALS patients, the HERV-K env-su 19-37 antibodies levels were significantly correlated with clinical measures of disease severity, both in serum and CSF. CONCLUSIONS: Increased circulating levels of Abs directed against the HERV-W env-su 93-108 and HERV-W env-su 248-262 peptide fragments could serve as possible biomarkers in patients with MS. Similarly, increased circulating levels of Abs directed against the HERV-K env-su19-37 peptide fragment could serve as possible early novel biomarker in patients with ALS. This article is protected by copyright. All rights reserved

    Serum and CSF neurofilament light chain levels in antibody-mediated encephalitis

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    Circulating and cerebrospinal fluid (CSF) neurofilament light chain (NfL) levels represent a reliable indicator of disease activity and axonal damage in different neuroinflammatory conditions. Recently, high CSF NfL levels have been detected in active autoimmune encephalitis, as opposed to significant lower levels after clinical improvement. The aim of the present study was to evaluate serum and CSF NfL concentration in patients with autoimmune encephalitis and to analyse the association between NfL levels and clinical, MRI, and CSF data. We retrospectively included 25 patients with neurological syndromes associated with autoantibodies to neuronal cell surface antigens and we collected clinical, MRI, CSF, and follow-up data. Using an ultrasensitive method (Simoa, Quanterix), we measured NfL levels in serum and CSF samples of all patients and in 25 sera of healthy controls. Serum NfL levels were higher in all cases, including 20 patients with inflammatory MRI/CSF features and 5 non-inflammatory cases (median 16.9 pg/ml, range 4.5-90) than in controls (median 6.9 pg/ml, range 2.7-12.8; p\u2009<\u20090.001). A correlation between serum and CSF NfL levels was found (r\u2009=\u20090.461, p\u2009=\u20090.023), whereas no significant association was observed between NfL levels and clinical, MRI/CSF inflammatory burden, and antibody type. In the 13 available follow-up samples, correlation between disease activity and NfL values was also observed. In conclusion, NfL levels are significantly increased in the serum of patients with antibody-mediated encephalitis, independently of the MRI/CSF inflammatory profile. These findings support the presence of ongoing axonal damage and suggest the co-occurrence of different mechanisms for neuronal/axonal involvement in antibody-associated CNS syndromes

    Emergency Department and Out-of-Hospital Emergency System (112-AREU 118) integrated response to Coronavirus Disease 2019 in a Northern Italy centre

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    Since December 2019, the world has been facing the life-threatening disease, named Coronavirus disease-19 (COVID-19), recognized as a pandemic by the World Health Organization. The response of the Emergency Medicine network, integrating "out-of-hospital" and "hospital" activation, is crucial whenever the health system has to face a medical emergency, being caused by natural or human-derived disasters as well as by a rapidly spreading epidemic outbreak. We here report the Pavia Emergency Medicine network response to the COVID-19 outbreak. The "out-of-hospital" response was analysed in terms of calls, rescues and missions, whereas the "hospital" response was detailed as number of admitted patients and subsequent hospitalisation or discharge. The data in the first 5 weeks of the Covid-19 outbreak (February 21-March 26, 2020) were compared with a reference time window referring to the previous 5 weeks (January 17-February 20, 2020) and with the corresponding historical average data from the previous 5 years (February 21-March 26). Since February 21, 2020, a sudden and sustained increase in the calls to the AREU 112 system was noted (+\u2009440%). After 5 weeks, the number of calls and missions was still higher as compared to both the reference pre-Covid-19 period (+\u200948% and\u2009+\u200910%, respectively) and the historical control (+\u200953% and\u2009+\u200922%, respectively). Owing to the overflow from the neighbouring hospitals, which rapidly became overwhelmed and had to temporarily close patient access, the population served by the Pavia system more than doubled (from 547.251 to 1.135.977 inhabitants,\u2009+\u2009108%). To minimize the possibility of intra-hospital spreading of the infection, a separate "Emergency Department-Infective Disease" was created, which evaluated 1241 patients with suspected infection (38% of total ED admissions). Out of these 1241 patients, 58.0% (n\u2009=\u2009720) were admitted in general wards (n\u2009=\u2009629) or intensive care unit (n\u2009=\u200991). To allow this massive number of admissions, the hospital reshaped many general ward Units, which became Covid-19 Units (up to 270 beds) and increased the intensive care unit beds from 32 to 60. In the setting of a long-standing continuing emergency like the present Covid-19 outbreak, the integration, interaction and team work of the "out-of-hospital" and "in-hospital" systems have a pivotal role. The present study reports how the rapid and coordinated reorganization of both might help in facing such a disaster. AREU-112 and the Emergency Department should be ready to finely tune their usual cooperation to respond to a sudden and overwhelming increase in the healthcare needs brought about by a pandemia like the current one. This lesson should shape and reinforce the future

    Living alone as an independent predictor of prolonged length of hospital stay and non-home discharge in older patients.

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    Implementation of the Frailty Index in hospitalized older patients: Results from the REPOSI register

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    Background: Frailty is a state of increased vulnerability to stressors, associated to poor health outcomes. The aim of this study was to design and introduce a Frailty Index (FI; according to the age-related accumulation of deficit model) in a large cohort of hospitalized older persons, in order to benefit from its capacity to comprehensively weight the risk profile of the individual. Methods: Patients aged 65 and older enrolled in the REPOSI register from 2010 to 2016 were considered in the present analyses. Variables recorded at the hospital admission (including socio-demographic, physical, cognitive, functional and clinical factors) were used to compute the FI. The prognostic impact of the FI on in-hospital and 12-month mortality was assessed. Results: Among the 4488 patients of the REPOSI register, 3847 were considered eligible for a 34-item FI computation. The median FI in the sample was 0.27 (interquartile range 0.21\u20130.37). The FI was significantly predictive of both in-hospital (OR 1.61, 95%CI 1.38\u20131.87) and overall (HR 1.46, 95%CI 1.32\u20131.62) mortality, also after adjustment for age and sex. Conclusions: The FI confirms its strong predictive value for negative outcomes. Its implementation in cohort studies (including those conducted in the hospital setting) may provide useful information for better weighting the complexity of the older person and accordingly design personalized interventions

    Choice and Outcomes of Rate Control versus Rhythm Control in Elderly Patients with Atrial Fibrillation: A Report from the REPOSI Study

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    Background: Among rate-control or rhythm-control strategies, there is conflicting evidence as to which is the best management approach for non-valvular atrial fibrillation (AF) in elderly patients. Design: We performed an ancillary analysis from the \u2018Registro Politerapie SIMI\u2019 study, enrolling elderly inpatients from internal medicine and geriatric wards. Methods: We considered patients enrolled from 2008 to 2014 with an AF diagnosis at admission, treated with a rate-control-only or rhythm-control-only strategy. Results: Among 1114 patients, 241 (21.6%) were managed with observation only and 122 (11%) were managed with both the rate- and rhythm-control approaches. Of the remaining 751 patients, 626 (83.4%) were managed with a rate-control-only strategy and 125 (16.6%) were managed with a rhythm-control-only strategy. Rate-control-managed patients were older (p\ua0=\ua00.002), had a higher Short Blessed Test (SBT; p\ua0=\ua00.022) and a lower Barthel Index (p\ua0=\ua00.047). Polypharmacy (p\ua0=\ua00.001), heart failure (p\ua0=\ua00.005) and diabetes (p\ua0=\ua00.016) were more prevalent among these patients. Median CHA2DS2-VASc score was higher among rate-control-managed patients (p\ua0=\ua00.001). SBT [odds ratio (OR) 0.97, 95% confidence interval (CI) 0.94\u20131.00, p\ua0=\ua00.037], diabetes (OR 0.48, 95% CI 0.26\u20130.87, p\ua0=\ua00.016) and polypharmacy (OR 0.58, 95% CI 0.34\u20130.99, p\ua0=\ua00.045) were negatively associated with a rhythm-control strategy. At follow-up, no difference was found between rate- and rhythm-control strategies for cardiovascular (CV) and all-cause deaths (6.1 vs. 5.6%, p\ua0=\ua00.89; and 15.9 vs. 14.1%, p\ua0=\ua00.70, respectively). Conclusion: A rate-control strategy is the most widely used among elderly AF patients with multiple comorbidities and polypharmacy. No differences were evident in CV death and all-cause death at follow-up

    Changes in surgicaL behaviOrs dUring the CoviD-19 pandemic. The SICE CLOUD19 Study

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    BACKGROUND: The spread of the SARS-CoV2 virus, which causes COVID-19 disease, profoundly impacted the surgical community. Recommendations have been published to manage patients needing surgery during the COVID-19 pandemic. This survey, under the aegis of the Italian Society of Endoscopic Surgery, aims to analyze how Italian surgeons have changed their practice during the pandemic.METHODS: The authors designed an online survey that was circulated for completion to the Italian departments of general surgery registered in the Italian Ministry of Health database in December 2020. Questions were divided into three sections: hospital organization, screening policies, and safety profile of the surgical operation. The investigation periods were divided into the Italian pandemic phases I (March-May 2020), II (June-September 2020), and III (October-December 2020).RESULTS: Of 447 invited departments, 226 answered the survey. Most hospitals were treating both COVID-19-positive and -negative patients. The reduction in effective beds dedicated to surgical activity was significant, affecting 59% of the responding units. 12.4% of the respondents in phase I, 2.6% in phase II, and 7.7% in phase III reported that their surgical unit had been closed. 51.4%, 23.5%, and 47.8% of the respondents had at least one colleague reassigned to non-surgical COVID-19 activities during the three phases. There has been a reduction in elective (>200 procedures: 2.1%, 20.6% and 9.9% in the three phases, respectively) and emergency (<20 procedures: 43.3%, 27.1%, 36.5% in the three phases, respectively) surgical activity. The use of laparoscopy also had a setback in phase I (25.8% performed less than 20% of elective procedures through laparoscopy). 60.6% of the respondents used a smoke evacuation device during laparoscopy in phase I, 61.6% in phase II, and 64.2% in phase III. Almost all responders (82.8% vs. 93.2% vs. 92.7%) in each analyzed period did not modify or reduce the use of high-energy devices.CONCLUSION: This survey offers three faithful snapshots of how the surgical community has reacted to the COVID-19 pandemic during its three phases. The significant reduction in surgical activity indicates that better health policies and more evidence-based guidelines are needed to make up for lost time and surgery not performed during the pandemic
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