51 research outputs found
Author response: Early hemodynamic predictors of good outcome and reperfusion injury after endovascular treatment
No full textDirectional dark matter searches
No full textThe importance of directly detect and experimentally probe the nature of Dark Matter (DM) is universally and incontrovertibly recognised as one of the most compelling tasks of today's fundamental physics. Directional DM searches aim at developing experimental techniques that can give access to the measurement of the incoming direction of the DM particle. This can provide a correlation with an astrophysical source that no background whatsoever can mimic and offers an unique key for a positive, unambiguous identification of a DM signal
Human papillomavirus in cervical adenocarcinoma. An in situ hybridization study.
No full textTwenty cervical adenocarcinomas (CACs) in women aged 22 to 71 were investigated by in situ hybridization (ISH) with 6, 11, 16, 18, 31, 35 and 51 HPV biotinylated probes. Two cases, one adenocarcinoma and one adenosquamous carcinoma (in women aged 28 and 40 respectively) showed focal nuclear positivity to 16 HPV Probe in some neoplastic glands. We used ISH, rather than other hybridization techniques, in order to exclude a positivity to viral DNA, due to adjacent squamous epithelium, either normal or metaplastic, and in squamous foci within adenosquamous tumors. Reviewing the literature, we found 33 out of 98 CACs positive to viral DNA by ISH (33.6%). In spite of the differences found from author to author, a relationship between adenocarcinomas of the uterine cervix and HPV infection seems to be possible, as was demonstrated for CIN and invasive cervical carcinomas. These data could explain why the incidence of this neoplasia has tended to increase over the last few years, mainly in younger patients
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Leptonic B Decays at BaBar
No full textWe will present the most recent results on leptonic B decays B{sup {+-}(0)} {yields} K*{sup {+-}(0)}{nu}{bar {nu}} and B{sup {+-}} {yields} {mu}{sup {+-}}{nu}, based on the data collected by the BaBar detector at PEP-II, an asymmetric e{sup +}e{sup -} collider at the center of mass energy of the {Upsilon}(4S) resonance. Rare B decays have always been a standard probe for New Physics (NP) searches. The very low Standard Model (SM) rate of these decays often make them unaccessible with the present experimental datasets, unless NP effects enhance the rate up to the current experimental sensitivity. Moreover, as NP effects can modify the decay kinematic, particular attention must be paid in order to perform a model independent analysis. A B-Factory provides an unique environment to investigate these processes. The high number of B{bar B} pairs produced by a B-Factory often allows to approach the needed experimental sensitivity. Moreover, the clean environment and the closed kinematic of the initial state enable to obtaining a very pure sample where to look for these decays
Electromagnetic corrections to non-leptonic two-body B and D decays
No full textAbstractWe present analytic expressions to evaluate at O(α) the effects of soft-photon emission, and the related virtual corrections, in non-leptonic decays of the type B,D→P1P2, where P1,2 are scalar or pseudoscalar particles. The phenomenological implications of these results are briefly discussed. For B decays into charged pions the effects of soft-photon emission are quite large: the corrections to the rates can easily exceed the 5% level if tight cuts on the photon energy are applied
Reconstruction and Particle Identification with CYGNO Experiment
No full textWe investigate the potential of using deep learning techniques to identify possible background events in search of Dark Matter with directional time projection chamber. The difference in the topological features can be learned by the deep learning models by training over thousand of events. These networks can be further used for the discrimination of background and signal events. The networks trained in this study performs better than the conventional approach (applying selection on variable) used for the classification of backgrounds and signal events. There is potential to further improve the performance of these models to improve the background rejection capabilities
New Fuels for a Failing Engine: The Impact of Novel Heart Failure Drugs on Functional Capacity
No full textFunctional impairment is a hallmark of heart failure (HF) and a strong prognostic factor. Cardiopulmonary exercise testing (CPET) provides a robust and objective assessment of exercise capacity; however, the impact of new pharmacotherapies on CPET parameters remains largely uncharacterized systematically. This review examines the influence of contemporary HF therapies on functional capacity, with particular focus on CPET-derived metrics, such as peak oxygen uptake (VO2 peak), ventilatory efficiency (VE/VCO2 slope), and oxygen uptake efficiency slope (OUES). A critical synthesis of randomized trials, observational studies, and meta-analyses was performed to assess the effects of both conventional (angiotensin-converting enzyme (ACE) inhibitors, beta-blockers, mineralocorticoid receptor antagonists (MRAs)) and novel agents (angiotensin receptor neprilysin inhibitor (ARNIs), sodium–glucose cotransporter-2 (SGLT2) inhibitors, glucagon-like peptide-1 (GLP)-1 receptor agonists, vericiguat, finerenone) on CPET outcomes. Conventional therapies provide modest improvements in CPET indices, whereas sacubitril/valsartan and SGLT2 inhibitors show more consistent and clinically meaningful benefits across different HF phenotypes. Vericiguat provided preliminary promise in improving VO2 peak and ventilatory parameters. Meanwhile, evidence for GLP-1 receptor agonists and finerenone remains limited or inconclusive. Heterogeneity across studies, in terms of the timing of CPET follow-up and baseline functional status, emerged as important modulators of the observed outcomes. Novel HF therapies can potentially improve exercise capacity beyond symptomatic relief, supporting a shift toward CPET-based endpoints in HF clinical trials. Personalized CPET monitoring may optimize therapeutic strategies and better reflect meaningful functional gains in HF populations
The cardiopulmonary exercise test in the prognostic evaluation of patients with heart failure and cardiomyopathies: the long history of making a one-size-fits-all suit
No full textCardiopulmonary exercise test (CPET) has become pivotal in the functional evaluation of patients with chronic heart failure (HF), supplying a holistic evaluation both in terms of exercise impairment degree and possible underlying mechanisms. Conversely, there is growing interest in investigating possible multiparametric approaches in order to improve the overall HF risk stratification. In such a context, in 2013, a group of 13 Italian centres skilled in HF management and CPET analysis built the Metabolic Exercise test data combined with Cardiac and Kidney Indexes (MECKI) score, based on the dynamic assessment of HF patients and on some other instrumental and laboratory parameters. Subsequently, the MECKI score, initially developed on a cohort of 2716 HF patients, has been extensively validated as well as challenged with the other multiparametric scores, achieving optimal results. Meanwhile, the MECKI score research group has grown over time, involving up to now a total of 27 centres with an available database accounting for nearly 8000 HF patients. This exciting joint effort from multiple HF Italian centres allowed to investigate different HF research field in order to deepen the mechanisms underlying HF, to improve the ability to identify patients at the highest risk as well as to analyse particular HF categories. Most recently, some of the participants of the MECKI score group started to join the forces in investigating a possible additive role of CPET assessment in the cardiomyopathy setting too. The present study tells the ten-year history of the MECKI score presenting the most important results achieved as well as those projects in the pipeline, this exciting journey being far to be concluded
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