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Falling is a frequent and major clinical problem among older adults, as well as in patients with chronic cerebrovascular diseases (CVD). At present, sequential (mixed) and simultaneously (dual-task) motor-cognitive trainings are the best approaches to affording patients more autonomy in their everyday motor independence while reducing fall risks and consequences. The objective of this study was to evaluate the efficacy of an advanced and innovative dual-task motor-cognitive rehabilitation program on fall risks in vulnerable older persons with chronic CVD. To this purpose, 26 consecutive older fallers with chronic CVD were recruited, and completed a mixed motor-cognitive or a dual-task motor-cognitive training program. Each patient also underwent two test evaluations to assess balance, gait, fear of falling, and walking performance at pre-and post-intervention. We found that our experimental motor-cognitive dual-task rehabilitation program could be an effective method to improve walking balance, gait, walking speed, and fear of falling, while reducing the risk of falls in older people with chronic CVD. Furthermore, results show that the simultaneous motor-cognitive training is more effective than the sequential motor-cognitive training. Therefore, our study brings innovative data, which can contribute positively to the management of this population.

A bstract The accurate identification of heavy-flavour jets — those which originate from bottom or charm quarks — is crucial for precision studies of the Standard Model and searches for new physics. However, assigning flavour to jets presents significant challenges, primarily due to issues with infrared and collinear (IRC) safety. This paper aims to address these challenges by evaluating recently-proposed jet algorithms designed to be IRC-safe and applicable in high-precision measurements. We compare these algorithms across benchmark heavy-flavour production processes and kinematic regimes that are relevant for LHC phenomenology. Exploiting both fixed-order calculations in QCD as well as parton shower simulations, we analyse the infrared sensitivity of these new algorithms at different stages of the event evolution and compare to flavour labelling strategies currently adopted by LHC collaborations. The results highlight that, while all algorithms lead to more robust flavour assignments compared to current techniques, they vary in performance depending on the observable and energy regime. The study lays groundwork for robust, flavour-aware jet analyses in current and future collider experiments to maximise the physics potential of experimental data by reducing discrepancies between theoretical and experimental methods.

Background: Intercostal artery perforator (ICAP) flaps are a reliable option for volume replacement in breast-conserving surgery (BCS), particularly for lower pole defects. However, limited flap volume may reduce their applicability in selected patients. Autologous fat grafting has been proposed to enhance both volume and aesthetic outcomes. Methods: This retrospective study evaluated 10 patients undergoing BCS with immediate reconstruction using fat-graft-augmented ICAP flaps. Nine anterior ICAP (AICAP) flaps and one lateral ICAP (LICAP) flap were employed. The outcomes included flap viability, complications, and aesthetic results over a 6-month follow-up. Results: Partial flap resorption occurred in 2 patients (20%), both of whom were active smokers. No cases of skin necrosis were observed. Fat grafting volumes ranged from 20 to 60 cc. Aesthetic outcomes were satisfactory, with good restoration of the breast contour and stable integration of the flap and grafted fat. Conclusions: The combined use of ICAP flaps and autologous fat grafting is a feasible and effective technique for immediate reconstruction after BCS. It allows volume enhancement, maintains natural contour, and shows low complication rates in properly selected patients. Smoking remains a significant risk factor.

Whether and how SARS-CoV-2 outbreak affected in-hospital acute stroke care system is still matter of debate. In the setting of the STROKOVID network, a collaborative project between the ten centers designed as hubs for the treatment of acute stroke during SARS-CoV-2 outbreak in Lombardy, Italy, we retrospectively compared clinical features and process measures of patients with confirmed infection (COVID-19) and non-infected patients (non-COVID-19) who underwent reperfusion therapies for acute ischemic stroke. Between March 8 and April 30, 2020, 296 consecutive patients [median age, 74 years (interquartile range (IQR), 62–80.75); males, 154 (52.0%); 34 (11.5%) COVID-19] qualified for the analysis. Time from symptoms onset to treatment was longer in the COVID-19 group [230 (IQR 200.5–270) minutes vs. 190 (IQR 150–245) minutes; p = 0.007], especially in the first half of the study period. Patients with COVID-19 who underwent endovascular thrombectomy had more frequently absent collaterals or collaterals filling ≤ 50% of the occluded territory (50.0% vs. 16.6%; OR 5.05; 95% CI 1.82–13.80) and a lower rate of good/complete recanalization of the primary arterial occlusive lesion (55.6% vs. 81.0%; OR 0.29; 95% CI 0.10–0.80). Post-procedural intracranial hemorrhages were more frequent (35.3% vs. 19.5%; OR 2.24; 95% CI 1.04–4.83) and outcome was worse among COVID-19 patients (in-hospital death, 38.2% vs. 8.8%; OR 6.43; 95% CI 2.85–14.50). Our findings showed longer delays in the intra-hospital management of acute ischemic stroke in COVID-19 patients, especially in the early phase of the outbreak, that likely impacted patients outcome and should be the target of future interventions.

ObjectiveTo characterize patients with acute ischemic stroke related to SARS-CoV-2 infection and assess the classification performance of clinical and laboratory parameters in predicting in-hospital outcome of these patients.MethodsIn the setting of the STROKOVID study including patients with acute ischemic stroke consecutively admitted to the ten hub hospitals in Lombardy, Italy, between March 8 and April 30, 2020, we compared clinical features of patients with confirmed infection and non-infected patients by logistic regression models and survival analysis. Then, we trained and tested a random forest (RF) binary classifier for the prediction of in-hospital death among patients with COVID-19.ResultsAmong 1013 patients, 160 (15.8%) had SARS-CoV-2 infection. Male sex (OR 1.53; 95% CI 1.06–2.27) and atrial fibrillation (OR 1.60; 95% CI 1.05–2.43) were independently associated with COVID-19 status. Patients with COVID-19 had increased stroke severity at admission [median NIHSS score, 9 (25th to75th percentile, 13) vs 6 (25th to75th percentile, 9)] and increased risk of in-hospital death (38.1% deaths vs 7.2%; HR 3.30; 95% CI 2.17–5.02). The RF model based on six clinical and laboratory parameters exhibited high cross-validated classification accuracy (0.86) and precision (0.87), good recall (0.72) and F1-score (0.79) in predicting in-hospital death.ConclusionsIschemic strokes in COVID-19 patients have distinctive risk factor profile and etiology, increased clinical severity and higher in-hospital mortality rate compared to non-COVID-19 patients. A simple model based on clinical and routine laboratory parameters may be useful in identifying ischemic stroke patients with SARS-CoV-2 infection who are unlikely to survive the acute phase.

Neutral current Drell–Yan (DY) lepton-pair production is considered to study Z -boson quark couplings. Using the open-source fit platform xFitter , we investigate the impact of high-statistics measurements of the neutral current DY (NCDY) forward–backward asymmetry A FB near the weak boson mass scale in the present and forthcoming stages of the Large Hadron Collider (LHC). Besides recovering earlier results on the A FB sensitivity to parton distribution functions, we analyze the precision determination of Z -boson couplings to left-handed and right-handed u -quarks and d -quarks, and explore Beyond-Standard-Model contributions using the Standard Model Effective Field Theory (SMEFT) framework. We perform a sensitivity study and comment on the role of the A FB asymmetry for the electroweak SMEFT fit and precision Z -boson physics at the LHC and high-luminosity HL-LHC.

BackgroundAlthough isolated caudate lobe (CL) liver resection is not a contraindication for minimally invasive liver surgery (MILS), feasibility and safety of the procedure are still poorly investigated. To address this gap, we evaluate data on the Italian prospective maintained database on laparoscopic liver surgery (IgoMILS) and compare outcomes between MILS and open group.MethodsPerioperative data of patients with malignancies, as colorectal liver metastases (CRLM), hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), non-colorectal liver metastases (NCRLM) and benign liver disease, were retrospectively analyzed. A propensity score matching (PSM) analysis was performed to balance the potential selection bias for MILS and open group.ResultsA total of 224 patients were included in the study, 47 and 177 patients underwent MILS and open isolated CL resection, respectively. The overall complication rate was comparable between the two groups; however, severe complication rate (Dindo–Clavien grade ≥ 3) was lower in the MILS group (0% versus 6.8%, P = ns). In-hospital mortality was 0% in both groups and mean hospital stay was significantly shorter in the MILS group (P = 0.01). After selection of 42 MILS and 43 open CL resections by PSM analysis, intraoperative and postoperative outcomes remained similar except for the hospital stay which was not significantly shorter in MILS group.ConclusionsThis multi-institutional cohort study shows that MILS CL resection is feasible and safe. The surgical procedure can be technically demanding compared to open resection, whereas good perioperative outcomes can be achieved in highly selected patients.

Information on the global distribution of vertical velocity of precipitating particles is needed in estimating latent heat fluxes, and therefore in the general study of energy transportation phenomena in the atmosphere. Tanelli et al investigate the expected performance for this type of Doppler radar for measuring vertical rainfall velocity.