Low-dose aspirin for primary prevention of cardiovascular events in postmenopausal women with type-2 diabetes: The prescriptive approach in the real world

Background: The long-Term efficacy of low-dose aspirin for primary prevention of cardiovascular (CV) events in postmenopausal women with type-2 diabetes is controversial. Therefore, it is recommended only on an individual basis, recommendation of grade C. Methods: We enrolled 275 consecutive postmenopausal women with type-2 diabetes, without an increased bleeding risk and without preexisting CV disease as coronary artery disease, stroke, and peripheral vascular disease, but with a high risk assessed by score >10%, aged 60-69 years. All were receiving aspirin (75-100 mg daily), aspirin group (AG). 170 postmenopausal women with type-2 diabetes and without preexisting cardiovascular (CV) disease, but not on aspirin treatment, despite a high risk assessed by score >10%, were control group (CG). Mean age was 66 ± 4 years for AG and 65 ± 7 years for CG. Our goal was to identify the prevalence of low-dose aspirin prescriptions in these populations according to different clinical conditions. Results: Women with only high risk were 41/275 (15%) on AG and 72/170 (42.3%) on CG, Chi-squared 41, Odds ratio 0.2, c.i. 95%, P < 0.0001. Women affected by metabolic syndrome were 105/275 (38.1%) on AG and 47/170 (27.6%) on CG, Chi-squared 5.1, Odds ratio 1.6, c.i. 95%, P < 0.02. Women affected by metabolic cardiomyopathy were 111/275 (40.3%) on AG and 44/170 (25.9%) on CG, Chi-squared 8, Odds ratio 1.8, c.i. 95%, P < 0.004. Women affected by diabetic cardiomyopathy were 18/275 (6.6%) on AG and 7/170 (4.2%) on CG, Chi-squared 1.2, Odds ratio 16, c.i. 95%, P < 0.2 n.s. Conclusions: Low-dose aspirin in our population is prescribed preferentially in postmenopausal women with type-2 diabetes when affected by metabolic syndrome or metabolic cardiomyopathy, at the opposite women with only high risk have lower chance to receive aspirin

Severe rhabdomyolysis associated with pemetrexed-based chemotherapy

Pemetrexed is an antifolate metabolite that inhibits several enzymes involved in the folate pathway. It has activity against various solid tumours, and has been approved for treatment of malignant pleural mesothelioma on the basis of findings from a randomised phase III trial.1 The main toxic effects noted for pemetrexed have been rash, myelosuppression, diarrhoea, mucositis, and reversible elevation of liver enzymes—effects that are preventable partly by vitamin supplementation.

Effect of coil charge duration on combustion variability and flame morphology in a GDI engine working in lean burn conditions

Spark ignition (SI) and subsequent flame front development exert a significant influence on cyclic variability of internal combustion engines (ICEs). The increasing exploitation of lean air-fuel mixtures in SI engines to lower fuel consumption and CO2 emissions is driving the scientific community towards the search for innovative combustion strategies. Moreover, although lean combustion has been widely investigated and an important number of studies is already present in literature, the high cyclic variability typical of this combustion process still represents a major hinder to its exploitation. This study aims to investigate the effects of increasing ignition energy on combustion characteristics of lean mixtures. Tests were performed on an optically accessible gasoline direct injection (GDI) engine that allowed to investigate the correlation between the thermodynamic results and spark arc-flame morphology. Engine speed was fixed at 2000 rpm, a relative air fuel ratio (AFRrel) of about 1.3 was selected and ignition timing was set at 12 crank angle degrees (CAD) bTDC. Coil charge duration was swept from 10 to 40 CAD. Two intake pressure levels were investigated, the first corresponding to wide open throttle under naturally aspirated operating mode, the second with an intake pressure of 1.2 bar, thus corresponding to a boosted operating condition. Two dedicated scripts built using NI Vision were employed for image processing, allowing the evaluation of temporal and spatial evolution of the early stages of combustion. Arc elongation and flame front contour were used as correlation parameters that characterize flame kernel inception and development. The results confirm that, as expected, the increase of the coil charge duration tends to reduce cyclic variability in terms of engine output. The optical investigations revealed that for both examined cases the standard deviation related to the wrinkling effect on flame edge at CA5 decreased as the coil charge duration increased

Long-term data prove useful to keep track of non-indigenous seaweed fate

The Mar Piccolo of Taranto (southern Italy, Mediterranean Sea), a site of the European LTER network, is a transitional water system, where a century-old intensive mussel farming activity has been carried out, together with an intense import-export business of bivalve mollusks. Previous studies showed that this basinisthirdforNISseaweedintroductionintheMediterraneanSea,aftertheThau LagoonandtheVeniceLagoon.Thepresentpaperdealswiththeresultsof11-year monitoring activity on non-indigenous species (NIS) of seaweeds, which was performed in the Mar Piccolo. In the studied period (2011–2021), two different time frames (i.e., 2011–2015 and 2016–2021) were considered, since they were based on a different number of sampling sites. To investigate spatial and temporal differences in the seaweed assemblage, a multivariate analysis was performed considering the NIS and the most important native species in terms of temporal occurrence. Fourteen NIS were recorded in total in the Mar Piccolo of Taranto duringthisperiod,withvariableabundancesamongsitesandyears:ninespeciesin the firsttimeperiod,andthirteenspeciesinthesecondone.Caulerpacylindracea, recorded with negligible biomass in the first period, was absent in the secondperiod samplings. Molecular analyses confirmed the taxonomy of three species (i.e., Grateloupia minima, Neopyropia koreana, and Polysiphonia morrowii), previously identified only through morphological features. The most abundant specieswasHypneacorona,whichalmostdoubleditsbiomassinthesecondtime period compared to the first one. Three species (i.e., Caulacanthus okamurae, G. minima, and P. morrowii) increased their biomass by an order of magnitude in the second time period. No significant differences were found over years. Site 1 resulted in significant differences among the sites and different seasonal pattern occurred among the investigated sites. No significant long-term changes occurred in the seaweed assemblages, suggesting the absence of strong disturbances due to the settlement of NIS

Merging the cryptic genera radicilingua and calonitophyllum (Delesseriaceae, rhodophyta): Molecular phylogeny and taxonomic revision

Radicilingua Papenfuss and Calonitophyllum Aregood are two small genera of the family Delesseriaceae that consist of only three and one taxonomically accepted species, respectively. The type species of these genera, Radicilingua thy-sanorhizans from England and Calonitophyllum medium from the Americas, are morphologically very similar, with the only recognized differences being vein size and procarp development. To date, only other two species were recognized inside the genus Radicilingua: R. adriatica and R. reptans. In this study, we analysed specimens of Radicilingua collected in the Adriatic and Ionian Sea (Mediterranean), including a syntype locality of R. adriatica (Trieste, northern Adriatic Sea), alongside material from near the type locality of R. thysanorhizans (Torpoint, Cornwall, UK). The sequences of the rbcL-5P gene fragment here produced represent the first molecular data available for the genus Radicilingua. Phylogenetic reconstruction showed that the specimens from the Adriatic and Ionian Seas were genetically distinct from the Atlantic R. thysanorhizans, even if morphologically overlapping with this species. A detailed morphological descrip-tion of the Mediterranean specimens, together with an accurate literature search, suggested that they were distinct also from R. adriatica and R. reptans. For these reasons, a new species was here described to encompass the Mediterranean specimens investigated in this study: R. mediterranea Wolf, Sciuto &amp; Sfriso. Moreover, in the rbcL-5P tree, sequences of the genera Radicilingua and Calonitophyllum grouped in a well-supported clade, distinct from the other genera of the subfamily Nitophylloideae, leading us to propose that Calonitophyllum medium should be transferred to Radicilingua

The INGV Mobile Telemetered Network (Re.Mo.Tel.): long-term monitoring analysis.

Since 2008, the Istituto Nazionale di Geofisica e Vulcanologia (INGV) developed a temporary real-time telemetered seismic network infrastructure (Re.Mo.Tel.) to densify the Italian National Seismic Network in epicentral area, thus improving the location of the aftershocks distribution after a mainshock. This infrastructure consists of various mobile and autonomous seismic stations that in group of three are telemetered to a Very Small Aperture Terminal (VSAT). Using a dedicated bandwidth on UHF, Wi-Fi and satellite frequency, the system is able to stream real-time data to the INGV acquisition centers in Rome and Grottaminarda. The deployment of the seismic network is supported by a geographical information system (GIS) that visualizes, for the epicentral area, information about instrumental seismicity, seismic risk, macroseismic felts and territorial data. The April, 6th, 2009 Mw 6.3 L'Aquila destructive earthquake represented the first real-case where the entire Re.Mo.Tel. infrastructure has been deployed. Less than 6 hours after the earthquake occurrence, a first accelerometric station was streaming data to the INGV seismic monitoring headquarters. A total number of 9 seismic stations was installed within 4 days after the main event, with the aim of recording continuous data to contribute in the aftershocks detection. In detail the first day a number of 3 stations was installed, surrounding the mainshock. Then the rest of the stations was deployed on the third and the fourth day to the south and the north, following the post-seismic evolution. A project funded by the Dipartimento di Protezione Civile (DPC-Civil Defense) gave the opportunity to maintain some of the deployed stations throughout the duration of the project of one year (although the stations are still installed) to assure the long-term monitoring of the triggered seismic sequence. In this work, we investigate: • The impact of the Re.Mo.Tel. on earthquakes detection and real-time monitoring of the sequence evolution; • The location improvement due to the deployment of stations closer to the epicentral area (with installations that followed the early evolution and complexity of fault fractures); • The network reliability in terms of data stored throughout the working period

Switching on the deep brain stimulation: Effects on cardiovascular regulation and respiration.

BACKGROUND: Objective of this study was to evaluate the acute cardiovascular and respiratory effects of switching on the deep brain stimulation in the follow up of nine Parkinson's disease patients with subthalamic nucleus stimulation and six cluster headache patients with posterior hypothalamic area stimulation. METHODS: Systolic and diastolic blood pressure, heart rate, and respiratory rate were monitored continuously during supine rest in both groups. Each patient was assessed in two conditions: resting supine with stimulator off and with stimulator on. RESULTS: In supine resting condition switching on the DBS induced no significant changes (p>0.05) in systolic and diastolic blood pressure as well as in heart rate and respiratory rate, in both groups of patients, either taking 1 min or 10 heartbeats as a sample for analysis. CONCLUSIONS: Switching on the DBS does not modify heart rate, blood pressure nor respiratory rate in both Parkinson and cluster headache patients under resting conditions

Pessimistic Rescaling and Distribution Shift of Boosting Models for Impression-Aware Online Advertising Recommendation

In this paper, we provide an overview of the approach we used as team Gabibboost for the ACM RecSys Challenge 2023, organized by ShareChat and Moj. The challenge focused on predicting user activity in the online advertising setting based on impression data, in particular, predicting whether a user would install an advertised application using a high-dimensional anonymized feature vector. Our proposed solution is based on an ensemble model that combines the strengths of several machine learning sub-models, including CatBoost, LightGBM, HistGradientBoosting, and two hybrid models. Our proposal is able to harness the strengths of our models through a distribution shift postprocessing and fine-Tune the final prediction via a custom build pessimistic rescaling function. The final ensemble model allowed us to rank 1st on the academic leaderboard and 9th overall