51 research outputs found

    Rapid Estimate of Wind Turbine Energy Loss due to Blade Leading Edge Delamination Using Artificial Neural Networks

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    Estimating reliably and rapidly the losses of wind turbine annual energy production due to blade surface damage is essential for optimizing maintenance planning and, in the case of leading edge erosion, assessing the need for protective coatings. These requirements prompted the development of the prototype system presented herein, using machine learning, wind turbine engineering codes and computational fluid dynamics to estimate annual energy production losses due to blade leading edge delamination. The power curve of a turbine with nominal and damaged blade surfaces is determined, respectively, with the open-source FAST and AeroDyn codes of the National Renewable Energy Laboratory, both using the blade element momentum theory for turbine aerodynamics. The loss prediction system is designed to map a given three-dimensional geometry of a damaged blade onto a damaged airfoil database, which, in this study, features 6000+ airfoil geometries, each analyzed with Navier-Stokes computational fluid dynamics over the working range of angles of attack. To avoid lengthy aerodynamic analyses to assess losses due to damages monitored during turbine operation, the airfoil force data of a damaged turbine required by AeroDyn are rapidly obtained using a machine learning method trained using the pre-existing airfoil database. Presented results demonstrate that realistic estimates of the annual energy production loss of a utility-scale offshore turbine due to leading edge delamination are obtained in just a few seconds using a standard desktop computer. This highlights viability and industrial impact of this new technology for managing wind farm energy losses due to blade erosion

    Evidence for a Prehypertensive Water Dysregulation Affecting the Development of Hypertension: Results of Very Early Treatment of Vasopressin V1 and V2 Antagonism in Spontaneously Hypertensive Rats

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    In addition to long-term regulation of blood pressure (BP), in the kidney resides the initial trigger for hypertension development due to an altered capacity to excrete sodium and water. Betaine is one of the major organic osmolytes, and its betaine/gamma-aminobutyric acid transporter (BGT-1) expression in the renal medulla relates to interstitial tonicity and urinary osmolality and volume. This study investigated altered water and sodium balance as well as changes in antidiuretic hormone (ADH) activity in female spontaneously hypertensive (SHR) and normotensive Wistar Kyoto (WKY) rats from their 3-5 weeks of age (prehypertensive phase) to SHR's 28-30 weeks of age (established hypertension-organ damage). Young prehypertensive SHRs showed a reduced daily urine output, an elevated urine osmolarity, and higher immunostaining of tubule BGT-1, alpha-1-Na-K ATPase in the outer medulla vs. age-matched WKY. ADH circulating levels were not different between young prehypertensive SHR and WKY, but the urine aquaporin2 (AQP2)/creatinine ratio and labeling of AQP2 in the collecting duct were increased. At 28-30 weeks, hypertensive SHR with moderate renal failure did not show any difference in urinary osmolarity, urine AQP2/creatinine ratio, tubule BGT-1, and alpha-1-Na-K ATPase as compared with WKY. These results suggest an increased sensitivity to ADH in prehypertensive female SHR. On this basis, a second series of experiments were set to study the role of ADH V1 and V2 receptors in the development of hypertension, and a group of female prehypertensive SHRs were treated from the 25th to 49th day of age with either V1 (OPC21268) or V2 (OPC 41061) receptor antagonists to evaluate the BP time course. OPC 41061-treated SHRs had a delayed development of hypertension for 5 weeks without effect in OPC 21268-treated SHRs. In prehypertensive female SHR, an increased renal ADH sensitivity is crucial for the development of hypertension by favoring a positive water balance. Early treatment with selective V2 antagonism delays future hypertension development in young SHRs

    Fluorouracil and dose-dense chemotherapy in adjuvant treatment of patients with early-stage breast cancer: An open-label, 2 × 2 factorial, randomised phase 3 trial

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    Background: Whether addition of fluorouracil to epirubicin, cyclophosphamide, and paclitaxel (EC-P) is favourable in adjuvant treatment of patients with node-positive breast cancer is controversial, as is the benefit of increased density of dosing. We aimed to address these questions in terms of improvements in disease-free survival. METHODS: In this 2 × 2 factorial, open-label, phase 3 trial, we enrolled patients aged 18-70 years with operable, node positive, early-stage breast cancer from 81 Italian centres. Eligible patients were randomly allocated in a 1:1:1:1 ratio with a centralised, interactive online system to receive either dose-dense chemotherapy (administered intravenously every 2 weeks with pegfilgrastim support) with fluorouracil plus EC-P (FEC-P) or EC-P or to receive standard-interval chemotherapy (administered intravenously every 3 weeks) with FEC-P or EC-P. The primary study endpoint was disease-free survival, assessed with the Kaplan-Meier method in the intention-to-treat population. Our primary comparisons were between dose schedule (every 2 weeks vs every 3 weeks) and dose type (FEC-P vs EC-P). This study is registered with ClinicalTrials.gov, number NCT00433420. FINDINGS: Between April 24, 2003, and July 3, 2006, we recruited 2091 patients. 88 patients were enrolled in centres that only provided standard-intensity dosing. After a median follow-up of 7·0 years (interquartile range [IQR] 4·5-6·3), 140 (26%) of 545 patients given EC-P every 3 weeks, 157 (29%) of 544 patients given FEC-P every 3 weeks, 111 (22%) of 502 patients given EC-P every 2 weeks, and 113 (23%) of 500 patients given FEC-P every 2 weeks had a disease-free survival event. For the dose-density comparison, disease-free survival at 5 years was 81% (95% CI 79-84) in patients treated every 2 weeks and 76% (74-79) in patients treated every 3 weeks (HR 0·77, 95% CI 0·65-0·92; p=0·004); overall survival rates at 5 years were 94% (93-96) and 89% (87-91; HR 0·65, 0·51-0·84; p=0·001) and for the chemotherapy-type comparison, disease-free survival at 5 years was 78% (75-81) in the FEC-P groups and 79% (76-82) in the EC-P groups (HR 1·06, 0·89-1·25; p=0·561); overall survival rates at 5 years were 91% (89-93) and 92% (90-94; 1·16, 0·91-1·46; p=0·234). Compared with 3 week dosing, chemotherapy every 2 weeks was associated with increased rate of grade 3-4 of anaemia (14 [1·4%] of 988 patients vs two [0·2%] of 984 patients; p=0·002); transaminitis (19 [1·9%] vs four [0·4%]; p=0·001), and myalgias (31 [3·1%] vs 16 [1·6%]; p=0·019), and decreased rates of grade 3-4 neutropenia (147 [14·9%] vs 433 [44·0%]; p<0·0001). Addition of fluorouracil led to increased rates of grade 3-4 neutropenia (354 [34·5%] of 1025 patients on FEC-P vs 250 [24·2%] of 1032 patients on EC-P; p<0·0001), fever (nine [0·9%] vs two [0·2%]), nausea (47 [4·6%] vs 28 [2·7%]), and vomiting (32 [3·1%] vs 15 [1·4%]). INTERPRETATION: In patients with node-positive early breast cancer, dose-dense adjuvant chemotherapy improved disease-free survival compared with standard interval chemotherapy. Addition of fluorouracil to a sequential EC-P regimen was not associated with an improved disease-free survival outcome

    Adherence and future discontinuation of tyrosine kinase inhibitors in chronic phase chronic myeloid leukemia. A patient-based survey on 1133 patients

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    Therapeutic approach for chronic myeloid leukemia (CML) patients has undergone a revolutionary change with the introduction of tyrosine kinase inhibitors, which improved overall survival and quality of life. Optimal therapy adherence has become of paramount importance to maximize the benefits in the long-term outcome. Several evidences have been reported that personal factors, such as social support, psychological and subjective perceptions about the drug used and the future, could influence adherence. We here report the results of a questionnaire specifically designed to evaluate factors influencing adherence and perceptions about the future, distributed to patients during regional Italian meetings. Overall, 1133 patients compiled the questionnaire: median age was 57 years. High rate of adherence was reported, but 42% of interviewed patients admitted that they had occasionally postponed a dose and 58% had discontinued therapy mainly for forgetfulness. The majority of patients discussed with personal physician about the importance of adherence and received sufficient information about illness and treatment, but would like to have discussed more about discomfort, anxiety and fear of the future. Summarizing personal drug compliance and estimating how many days a month, on average, the patients did not take the drug, the majority answered that it was less than 3 days (55%) and only a minority (4%) admitted that it was more than 7 days. Interviewed about discontinuation, 49% of patients answered that wouldn't interrupt because of fear of losing all the results achieved so far. This study suggests a higher level of satisfaction with more information received but the need of improving communication about possible future treatment free remission

    Determinants of frontline tyrosine kinase inhibitor choice for patients with chronic-phase chronic myeloid leukemia: A study from the Registro Italiano LMC and Campus CML

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    Background: Imatinib, dasatinib, and nilotinib are tyrosine kinase inhibitors (TKIs) approved in Italy for frontline treatment of chronic-phase chronic myeloid leukemia (CP-CML). The choice of TKI is based on a combined evaluation of the patient's and the disease characteristics. The aim of this study was to analyze the use of frontline TKI therapy in an unselected cohort of Italian patients with CP-CML to correlate the choice with the patient's features. Methods: A total of 1967 patients with CP-CML diagnosed between 2012 and 2019 at 36 centers throughout Italy were retrospectively evaluated; 1089 patients (55.4%) received imatinib and 878 patients (44.6%) received a second-generation (2G) TKI. Results: Second-generation TKIs were chosen for most patients aged &lt;45 years (69.2%), whereas imatinib was used in 76.7% of patients aged &gt;65 years (p&nbsp;&lt;&nbsp;.001). There was a predominant use of imatinib in intermediate/high European long-term survival risk patients (60.0%/66.0% vs. 49.7% in low-risk patients) and a limited use of 2G-TKIs in patients with comorbidities such as hypertension, diabetes, chronic obstructive pulmonary disease, previous neoplasms, ischemic heart disease, or stroke and in those with &gt;3 concomitant drugs. We observed a greater use of imatinib (61.1%) in patients diagnosed in 2018-2019 compared to 2012-2017 (53.2%; p&nbsp;=&nbsp;.002). In multivariable analysis, factors correlated with imatinib use were age &gt; 65 years, spleen size, the presence of comorbidities, and ≥3 concomitant medications. Conclusions: This observational study of almost 2000 cases of CML shows that imatinib is the frontline drug of choice in 55% of Italian patients with CP-CML, with 2G-TKIs prevalently used in younger patients and in those with no concomitant clinical conditions. Introduction of the generic formulation in 2018 seems to have fostered imatinib use

    Influenza degli impianti alimentati da fonti rinnovabili sulle strategie di gestione del sistema energetico

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    In questa memoria sono presentate alcune linee di ricerca sviluppate dal gruppo di ricerca in Macchine e Sistemi Energetici del Dipartimento di Ingegneria Industriale dell\u2019Universit\ue0 di Padova nell\u2019ambito di soluzioni adatte al nuovo assetto del mercato elettrico. In particolare, si stanno studiando potenzialit\ue0 e soluzioni innovative ed efficienti per il pompaggio idroelettrico per l\u2019accumulo di energia, originali approcci matematici per lo sviluppo di metodi di gestione di sistemi energetici ibridi con sistemi di accumulo dell\u2019energia e procedure per la valutazione degli effetti derivanti dall\u2019eccessiva variabilit\ue0 del carico negli impianti termoelettrici

    Optimal management of a hybrid photovoltaic-pump hydro energy storage system by Particle Swarm Optimization Theory

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    By means of an optimization model based on the Particle Swarm Theory, the managing strategy of a system aimed at supplying electricity and water to an isolated small village in Nigeria has been optimized in order to fulfil the requirement of the users and to improve the system efficiency. Ground water is pumped into a storage reservoir and can be used both for irrigation and domestic use. The system is composed by a photovoltaic plant, a pump as turbine and a diesel internal combustion engine for integration purposes. An optimization of the reservoir and photovoltaic field has been performed too. The analysis has been conducted for different values of solar irradiance profiles, users requirement profiles and devices size
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