A multi-layer parametric approach to maximize the access probability of mobile networks

Next-generation mobile networks (5G) are defined to provide access in the framework of heterogeneous systems where it is crucial to have “always on” and “everywhere connectivity” capabilities. This is of fundamental importance even in 4G mobile systems, down to 3G and also Wi-Fi and WiMAX. In order to guarantee access to users with handheld devices equipped with multiple radio interfaces, an automated and reconfigurable tool for selecting the best network to be connected with is needed. This should be achieved by avoiding service outages. Current vertical handovers, i.e., switching from a network to another, are essentially based on power received levels and often do not avoid temporary service outages. We propose in this paper a procedure to access mobile networks by sensing multiple performance parameters related to networks available in the considered area. We target at maximizing the probability of accessing the wireless medium despite the technology used. We develop an algorithm, based on dynamic programming, able to select the most suitable network. We present the performance of the proposed algorithm both on the basis of computer simulations and on tests performed in an Arduino-based hardware platform

A Microchip Integrated Sensor for the Monitoring of High Concentration Photo-voltaic Solar Modules

Abstract A CMOS sensor fabricated in 0.35μm technology, specifically designed for the monitoring of High Concentration Photo-Voltaic (HCPV) modules, is presented. The microchip was designed to monitor temperature and illumination of each solar cell in a module. Temperature is measured by monitoring the base-emitter voltage of two coupled, diode connected, bipolar transistors, while the illumination sensor is an integrated p-n junction photodiode. A custom communication protocol is implemented in the chip to allow the sharing of a two-wire communication resource among the cells

Electrochemotherapy as palliative treatment in patients with advanced head and neck tumours: Outcome analysis in 93 patients treated in a single institution.

Abstract Purpose To describe outcomes of Electrochemotherapy as palliative treatment in patients with advanced head and neck (H&N) tumours. Methods Ninety-three patients (120 treatment sessions) with H&N recurrent and/or metastatic neoplasm were treated. Treatment response was assessed 4 weeks after ECT with clinical examination and two months after the first evaluation with a CT scan of the H&N for deep lesions evaluation. The grade of bleeding and pain before, at the end of treatment and one week after ECT were evaluated. Results Five percent of complete responses, 40% of partial responses were registered. Disease progression was seen in 20% of patients after the first ECT procedure, the remaining 34% of patients experienced stable disease. A good control of pain and bleeding was obtained, especially in patients with moderate symptoms before the treatment. No toxicities related to ECT were seen. Conclusions ECT is an interesting antitumoral therapy in advanced chemo and radio-refractory H&N neoplasms. ECT is able to reduce frequent symptoms, such as pain and bleeding, improving quality of life without damage to healthy tissue and with limited side effects. Moreover, ECT reduces hospitalization time and may contribute to an overall reduction in healthcare costs associated with advanced H&N cancers care

optimizing patient referral and center capacity in the management of chronic hepatitis c lessons from the italian experience

Abstract Aims In 2017 the Italian Drug Agency (Agenzia Italiana del Farmaco, AIFA) revised the criteria for access to therapy for patients with chronic hepatitis C as part of a three-year plan to eradicate HCV. We conducted a Delphi study to determine strategies to identify and treat patients with HCV and to develop through a shared pathway, a model to manage patient referral and optimize prescription center capacity with the overall aim of increasing access to therapy. Methods The process took place in two phases – Phase I (January 2017), before the criteria for treatment of HCV were revised and Phase II (May 2017) when AIFA developed a framework for the eradication of HCV infection in Italy. Two questionnaires were devised with Q1 administered in Phase I and Q2 in Phase II. Results Q1 was sent to 823 hepatitis specialists working in 235 Italian HCV centers authorized to prescribe direct-acting antiviral drugs (DAAs). Overall, 167 centers (71%) participated with a good geographical representativeness (North 69%, Centre 74%; South and islands 70%). 548 prescribers (68.8%) provided responses to Q1 and 443 (80%) specialists who responded to Q1 completed Q2. Over 70% considered that to meet the new therapy targets local/regional networks need to be consolidated and reinforced with GPs providing the 'missing link' in current regional networks. Adherence to therapy was considered important by 75% of clinicians with reduction in follow-up intervals/length considered important by 65% – to free up staff/resources to manage increasing numbers of new patients. About 80% of respondents stated that medical personnel were principally involved in follow-up with follow-up having a significant impact on center capacity. Conclusion Enhancing patient referral, the need for an increased role of GPs, increasing center capacity in particular medical personnel in outpatient centers and greater liaison between Hub centers and healthcare professionals currently managing high-risk groups as yet untreated, were factors that need to be streamlined in order to meet treatment targets for eradication of HCV

Predictors of progression of cognitive decline in Alzheimer’s disease: the role of vascular and sociodemographic factors

Rates of disease progression differ among patients with Alzheimer’s disease, but little is known about prognostic predictors. The aim of the study was to assess whether sociodemographic factors, disease severity and duration, and vascular factors are prognostic predictors of cognitive decline in Alzheimer’s disease progression. We conducted a longitudinal clinical study in a specialized clinical unit for the diagnosis and treatment of dementia in Rome, Italy. A total of 154 persons with mild to moderate Alzheimer’s disease consecutively admitted to the dementia unit were included. All patients underwent extensive clinical examination by a physician at admittance and all follow-ups. We evaluated the time-dependent probability of a worsening in cognitive performance corresponding to a 5-point decrease in Mini-Mental State Examination (MMSE) score. Survival analysis was used to analyze risk of faster disease progression in relation to age, education, severity and duration of the disease, family history of dementia, hypertension, hypercholesterolemia, and type 2 diabetes. Younger and more educated persons were more likely to have faster Alzheimer’s disease progression. Vascular factors such as hypertension and hypercholesterolemia were not found to be significantly associated with disease progression. However, patients with diabetes had a 65% reduced risk of fast cognitive decline compared to Alzheimer patients without diabetes. Sociodemographic factors and diabetes predict disease progression in Alzheimer’s disease. Our findings suggest a slower disease progression in Alzheimer’s patients with diabetes. If confirmed, this result will contribute new insights into Alzheimer’s disease pathogenesis and lead to relevant suggestions for disease treatment

Budget impact analysis of antiretroviral less drug regimen simplification in HIV-positive patients on the Italian National Health Service

Background: Deintensification and less drug regimen (LDR) antiretroviral therapy (ART) strategies have proved to be effective in terms of maintaining viral suppression in human immunodeficiency virus (HIV)-positive patients, increasing tolerability, and reducing toxicity of antiretroviral drugs administered to patients. However, the economic impact of these strategies have not been widely investigated. The aim of the study is to evaluate the economic impact that ART LDR could have on the Italian National Health Service (INHS) budget.Methods: A budget impact model was structured to assess the potential savings for the INHS by the use of ART LDR for HIV-positive patients with a 3 year perspective. Data concerning ART cost, patient distribution within different ARTs, and probabilities for patients to change ART on a yearly basis were collected within four Italian infectious diseases departments, providing ART to 13.7% of the total number of patients receiving ART in Italy.Conclusion: ART LDR simplification would have a significant impact in the reduction of ART-related costs within the hospitals involved in the study. These strategies could therefore be addressed as a sustainable answer to the public financing reduction observed within the INHS in the last year, allowing therapies to be dispensed without affecting the quality of the services provided.Results: The LDR investigated (protease inhibitor-based dual and monotherapies) led to savings for the hospitals involved when compared to the \u201cdo nothing\u201d scenario on a 3 year basis, between 6.7% (23.11 million \u20ac) and 12.8% (44.32 million \u20ac) of the total ART expenditures. The mean yearly cost per patient is reduced from 9,875 \u20ac in the do nothing scenario to a range between 9,218 \u20ac and 8,615 \u20ac. The use of these strategies within the four departments involved would have led to a reduction of ART expenditures for the INHS of between 1.1% and 2.1% in 3 years

Surgery for Intraductal Papillary Mucinous Neoplasms of the Pancreas: Preoperative Factors Tipping the Scale of Decision-Making

Background: Decision-making in intraductal papillary mucinous neoplasms (IPMNs) of the pancreas depends on scaling the risk of malignancy with the surgical burden of a pancreatectomy. This study aimed to develop a preoperative, disease-specific tool to predict surgical morbidity for IPMNs. Methods: Based on preoperative variables of resected IPMNs at two high-volume institutions, classification tree analysis was applied to derive a predictive model identifying the risk factors for major morbidity (Clavien-Dindo ≥3) and postoperative pancreatic insufficiency. Results: Among 524 patients, 289 (55.2%) underwent pancreaticoduodenectomy (PD), 144 (27.5%) underwent distal pancreatectomy (DP), and 91 (17.4%) underwent total pancreatectomy (TP) for main-duct (18.7%), branch-duct (12.6%), or mixed-type (68.7%) IPMN. For 98 (18.7%) of the patients, major morbidity developed. The classification tree distinguished different probabilities of major complications based on the type of surgery (area under the surve [AUC] 0.70; 95% confidence interval [CI], 0.63-0.77). Among the DP patients, the presence of preoperative diabetes identified two risk classes with respective probabilities of 5% and 25% for the development of major morbidity, whereas among the PD/TP patients, three different classes with respective probabilities of 15%, 20%, and 36% were identified according to age and body mass index (BMI). Overall, history of diabetes, age, and cyst size segregated three different risk classes for new-onset/worsening diabetes. Conclusions: In presumed IPMNs, the disease-specific risk of major morbidity and pancreatic insufficiency can be determined in the preoperative setting and used to personalize the possible surgical indication. Age and overweight status in case of PD/TP and diabetes in case of DP tip the scale toward less aggressive clinical management in the absence of features suggestive for malignancy

Vitamin D as Modulator of Drug Concentrations: A Study on Two Italian Cohorts of People Living with HIV Administered with Efavirenz

To date, vitamin D seems to have a significant role in affecting the prevention and immunomodulation in COVID-19 disease. Nevertheless, it is important to highlight that this pro-hormone has other several activities, such as affecting drug concentrations, since it regulates the expression of cytochrome P450 (CYP) genes. Efavirenz (EFV) pharmacokinetics is influenced by CYPs, but no data are available in the literature concerning the association among vitamin D levels, seasonality (which affects vitamin D concentrations) and EFV plasma levels. For this reason, the aim of this study was to evaluate the effect of 25-hydroxy vitamin D (25(OH)D3) levels on EFV plasma concentrations in different seasons. We quantified 25(OH)D3 by using chemiluminescence immunoassay, whereas EFV plasma concentrations were quantified with the HPLC–PDA method. A total of 316 patients were enrolled in Turin and Rome. Overall, 25(OH)D3levels resulted in being inversely correlated with EFV concentrations. Some patients with EFV levels higher than 4000 ng/mL showed a deficient 25(OH)D3 concentration in Turin and Rome cohorts and together. EFV concentrations were different in patients without vitamin D supplementation, whereas, for vitamin D-administered individuals, no difference in EFV exposure was present. Concerning seasonality, EFV concentrations were associated with 25(OH)D3 deficiency only in winter and in spring, whereas a significant influence was highlighted for 25(OH)D3 stratification for deficient, insufficient and sufficient values in winter, spring and summer. A strong and inverse association between 25(OH)D3and EFV plasma concentrations was suggested. These data suggest that vitamin D is able to affect drug exposure in different seasons; thus, the achievement of the clinical outcome could be improved by also considering this pro-hormone

Predicting disease progression in alzheimer's disease: The role of neuropsychiatric syndromes on functional and cognitive decline

Patients with Alzheimer's disease (AD) have heterogeneous rates of disease progression. The aim of the current study is to investigate whether neuropsychiatric disturbances predict cognitive and functional disease progression in AD, according to failure theory. We longitudinally examined 177 memory-clinic AD outpatients (mean age = 73.1, SD = 8.1; 70.6% women). Neuropsychiatric disturbances at baseline were categorized into five syndromes. Patients were followed for up to two years to detect rapid disease progression defined as a loss of >= 1 abilities in Activities of Daily living (ADL) or a drop of >= 5 points on Mini-Mental State Examination (MMSE). Hazard ratios (HR) were calculated with Gompertz regression, adjusting for sociodemographics, baseline cognitive and functional status, and somatic comorbidities. Most patients (74.6%) exhibited one or more neuropsychiatric syndromes at baseline. The most common neuropsychiatric syndrome was Apathy (63.8%), followed by Affective (37.3%), Psychomotor (8.5%), Manic (7.9%), and Psychotic (5.6%) syndromes. The variance between the observed (Kaplen Meier) and predicted (Gompertz) decline for disease progression in cognition (0.30, CI = 0.26-0.35), was higher than the variance seen for functional decline (0.22, CI = 0.18-0.26). After multiple adjustment, patients with the Affective syndrome had an increased risk of functional decline (HR = 2.0; CI = 1.1-3.6), whereas the risk of cognitive decline was associated with the Manic (HR = 3.2, CI = 1.3-7.5) syndrome. In conclusion, specific neuropsychiatric syndromes are associated with functional and cognitive decline during the progression of AD, which may help with the long-term planning of care and treatment. These results highlight the importance of incorporating a thorough psychiatric examination in the evaluation of AD patients