Search Results (65)

We study the impact on the cosmic microwave background (CMB) landscape of peculiar rotational general relativistic effects. These effects, on galactic scales, do not possess a Newtonian analogue, and therefore could a priori impact CMB analysis. We find that the velocity inferred from the CMB dipole, under the kinematic interpretation, coincides with that measured by a stationary observer within the Milky Way and not with the one measured by the zero angular momentum observer. We show that the galaxy peculiar frame-dragging effects do not impact the standard CMB analysis, as these modify the multipole coefficients only at higher orders with respect to the dominant terms. Moreover, we prove that no general relativistic framework at the galactic scale patched within the standard cosmological model can account for the current tension on the CMB quadrupole amplitude. Full article

With the advent of Big Data, data mining techniques have become crucial for improving decision-making across diverse sectors, yet their employment demands significant resources and time. Time is critical in industrial contexts, as delays can lead to increased costs, missed opportunities, and reduced competitive advantage. To address this, systems for analyzing data can help prototype data mining pipelines, mitigating the risks of failure and resource wastage, especially when experimenting with novel techniques. Moreover, business experts often lack deep technical expertise and need robust support to validate their pipeline designs quickly. This paper presents Rainfall, a novel framework for rapidly prototyping data mining pipelines, developed through collaborative projects with industry. The framework’s requirements stem from a combination of literature review findings, iterative industry engagement, and analysis of existing tools. Rainfall enables the visual programming, execution, monitoring, and management of data mining pipelines, lowering the barrier for non-technical users. Pipelines are composed of configurable nodes that encapsulate functionalities from popular libraries or custom user-defined code, fostering experimentation. The framework is evaluated through a case study and SWOT analysis with INGKA, a large-scale industry partner, alongside usability testing with real users and validation against scenarios from the literature. The paper then underscores the value of industry–academia collaboration in bridging theoretical innovation with practical application. Full article

This paper presents a smart electric vehicle (EV) charging management system that integrates Reinforcement Learning intelligence on a Field-Programmable Gate Array (FPGA) platform. The system is based on the Q-learning algorithm, where the RL agent perceives environmental conditions, captured through hardware sensors such as current, voltage, and priority indicators, and makes optimal charging decisions to address grid stress and prioritize charging needs. The FPGA implementation leverages hardware design strategies to ensure efficient operation and real-time response within a limited amount of required energy, allowing for its implementation in embedded applications and possibly enabling the use of an energy harvesting power source, like a small solar panel. The proposed design effectively manages multiple EV chargers by dynamically allocating current and prioritizing charging tasks to maintain service quality. Through intelligent decision making, informed by continuous sensor feedback, the system adapts to fluctuating grid conditions and optimizes energy distribution. Key findings highlight the system’s ability to maintain stable operation under varying demand conditions, improving power efficiency, safety, and service reliability. Moreover, the design is scalable, enabling seamless expansion for larger installations by following consistent architectural guidelines. This FPGA-based solution combines RL intelligence, sensor-based environmental perception, and robust hardware design, offering a practical framework for an efficient EV charging infrastructure in modern smart grid environments. Full article

Age-related macular degeneration (AMD) is a leading cause of visual impairment worldwide, characterized by the accumulation of extracellular drusen deposits within the macula. The pathogenesis of AMD is multifactorial, involving oxidative stress, chronic inflammation, immune system dysregulation, and genetic predisposition. A key contributor to disease progression is the excessive accumulation of reactive oxygen species (ROS), which damage retinal pigment epithelium (RPE) cells and disrupt cellular homeostasis. Additionally, immunosenescence and chronic low-grade inflammation exacerbate AMD pathology, further impairing retinal integrity. Despite ongoing research, effective therapeutic options remain limited, and there is no definitive cure for AMD. This review explores the intricate molecular mechanisms underlying AMD, including the role of oxidative stress, chronic inflammation, and genetic factors in RPE dysfunction. Furthermore, we highlight potential therapeutic strategies targeting these pathways, as well as the emerging role of bioinformatics and artificial intelligence in AMD diagnosis and treatment development. By improving our understanding of AMD pathophysiology, we can advance the search for novel therapeutic interventions and preventative strategies. Full article

Background: Circulating tumor DNA (ctDNA) may be released from neoplastic cells into biological fluids through apoptosis, necrosis, or active release. In patients with non-small-cell lung cancer (NSCLC), ctDNA analysis is being introduced in clinical practice only for advanced disease management. Nevertheless, an interesting and promising field of application is the analysis of ctDNA in the management of early stage non-small-cell lung cancer, both for evaluation before treatment, such as diagnosis and screening, and for prediction of histology or pathological features. Methods: A thorough review of the literature published between 2000 and 2024 was performed on PubMed, utilizing the advanced search feature to narrow down titles and abstracts containing the following keywords: ctDNA, early stage, and NSCLC. A total of 20 studies that met all inclusion criteria were chosen for this review. Results: In this review, we summarize the increasing evidence suggesting that ctDNA has potential clinical applications in the management of patients with early stage NSCLC. ctDNA levels in early stage cancers are very low, posing many technical challenges in improving the detection rate and sensitivity, especially in clinical practice, if it is to be implemented for early detection. Presently, the main limitation of ctDNA experimental and clinical studies, especially in early stage settings, is the lack of definitive standardization and consensus regarding methodology, the absence of systematically validated analyses, and the lack of adoption of sensitive approaches. Conclusions: Possible applications of this analyte open up new fields of diagnosis, treatment, and follow up, which are less invasive and more precise than other approaches currently in use, especially in early stage NSCLC patients. Full article

Background/Objectives: MicroRNAs (miRNAs) play a crucial role in regulating immune responses and have been implicated in the pathogenesis of various nasal diseases, including chronic rhinosinusitis (CRS), allergic rhinitis (AR), and sinonasal tumors. This review comprehensively explores the emerging role of miRNAs in inflammatory and oncological nasal diseases, highlighting their diagnostic, prognostic, and therapeutic potential. Methods: A comprehensive review of the literature was conducted to summarize current findings on miRNA expression in nasal inflammatory conditions and tumors. Key studies evaluating miRNA-mediated regulatory mechanisms, potential biomarker applications, and therapeutic approaches were analyzed. Results: Altered miRNA expression profiles contribute to the pathogenesis of CRS, AR, and sinonasal tumors. Specific miRNAs, such as miR-125b and miR-155 are upregulated in CRS and AR, promoting inflammation and tissue remodeling. In sinonasal tumors, dysregulated miRNAs, including miR-126 and miR-34/miR-449 clusters, influence tumor progression and therapeutic response. Exosome-mediated miRNA delivery emerges as a promising avenue for precision medicine, offering novel strategies for miRNA-based diagnostics and therapies. Conclusions: miRNAs are key regulators of nasal diseases, with potential applications in non-invasive diagnostics and targeted therapies. Further research into miRNA-based interventions may improve treatment outcomes and contribute to the development of personalized medicine approaches for nasal inflammatory disorders and malignancies. Full article

The hydrogen embrittlement of a typical Oil Country Tubular Good (OCTG) steel, API 5CT T95, was investigated through electrochemical hydrogen pre-charging followed by mechanical testing. J-integral and tensile tests were performed on electrochemically pre-charged samples, with varying charging conditions to simulate different hydrogen environmental exposure. Hydrogen concentration profiles during the electrochemical hydrogen charging process and subsequent mechanical testing in air were calculated with the support of hydrogen permeation tests and Finite Elements Method (FEM) mass diffusion analysis. This approach enabled a deeper understanding of the actual impact of hydrogen on the assessed mechanical properties. The results were compared with tests performed in air and with data available in the literature and were critically analyzed and discussed. A toughness reduction of up to 60% was observed under the most severe charging conditions; however, the alloy retained good ductility with a critical stress intensity factor of 124 MPa√m, well above the minimum values required for pipelines in high-pressure hydrogen gas and sour service applications, 55 MPa√m and 30 MPa√m, respectively, as specified by current ASME Standard and EFC Guidelines. Tensile tests on pre-charged specimens exhibited certain limitations due to the rapid hydrogen desorption rate with respect to the time required to conduct proper slow strain-rate tests. Full article

The recent increase in parvovirus B19 (B19V) infections across Europe has underscored the need for enhanced surveillance. In Italy, B19V surveillance is not mandated nationally. This ambispective (retrospective and prospective) study aimed to assess the epidemiological and clinical characteristics of the 2024 apparent surge in the Veneto Region by implementing mandatory disease notification starting in May 2024 and collecting clinical data on confirmed cases. During the surveillance period, 3156 B19V cases were reported, with 2.9% (93/3156) requiring hospitalisation (95% CI 2.4–3.5%). Children under 1 year of age exhibited the highest hospitalisation rate (29.0%), followed by adults aged 18–40 (17.5%). Infections disproportionately affected children aged 1–5 and 6–11, and the Granger causality test showed that an increase in cases among the 1–5-year-olds was predictive of subsequent rises in other age groups (p = 0.0086). Severe complications, including myocarditis, pericarditis, and miscarriage, were observed, and one death occurred following cardiac and neurological complications in a patient without prior risk factors. The presence of concurrent pathologies, particularly haematological disorders, was associated with increased disease severity. These findings highlight the importance of early warning when cases begin rising among preschool-aged children and underscore the need for improved B19V awareness, particularly in high-risk populations. Future efforts should evaluate the feasibility of implementing a systematic, potentially EU-wide, surveillance for B19V. Full article

Pharmaceuticals and personal care products (PPCPs) are emerging contaminants (ECs), whose presence in the environment is of increasing concern due to their widespread use and possible detrimental effects on wildlife and humans. These chemicals may present multiple hazardous properties such as environmental persistence, toxicity, high mobility, and the potential for bioaccumulation. In this study, extended bibliographic research was conducted to characterize the removal efficiency (RE) of PPCPs in wastewater treatment plants (WWTPs) considering different technologies. Measured values of RE were collected from the literature or calculated for 251 compounds. The molecular structure of the 245 PPCPs were used as the input to generate predictions of multiple properties using several QSAR tools, such as the OECD Toolbox, OPERA, EPI Suite™, and QSAR-ME Profiler. These predictions were compared to regulatory thresholds to identify hazardous chemicals and to screen persistent, mobile and toxic (PMT) or persistent, bioaccumulative and toxic (PBT) substances. Finally, chemicals were prioritized by combining values of RE and QSAR predictions for multiple properties. A total of 16 out of the 245 molecules were prioritized as the most hazardous compounds to the aquatic environment and, among these, six were associated with potential risk due to their exposure concentrations reported in the literature. Full article

The development and calibration of a measurement system designed for assessing the performance of the avalanche photodiodes (APDs) used in the Compton scattering polarimeter of the CUSP project is discussed in this work. The designed system is able to characterize the APD gain $G_{APD}$ and energy resolution across a wide range of temperatures T (from −20 °C to +60 °C) and bias voltages $V_{bias}$ (from 260 V to 410 V). The primary goal was to experimentally determine the $G_{APD}$ dependence on the T and $V_{bias}$ in order to establish a strategy for stabilizing $G_{APD}$ by compensating for T fluctuations, acting on $V_{bias}$. The results demonstrate the system capability to accurately characterize APD behavior and develop feedback mechanisms to ensure its stable operation. This work provides a robust framework for calibrating APDs for space environments. It is essential for the successful implementation of spaceborne polarimeters such as the Compton scattering polarimeter foreseen aboard the CUbeSat Solar Polarimeter (CUSP) mission under development to perform solar flare X-ray polarimetry. Full article

Currently, risk stratification for pediatric Hodgkin lymphoma is based on clinical factors such as stage, bulk, and systemic symptoms. Novel minimally invasive biomarkers could enhance both prognosis and treatment strategies. Therefore, the plasma extracellular vesicles’ microRNA profile was characterized by small RNA sequencing in 36 classical Hodgkin lymphoma cases and these findings were confirmed in an extended cohort of 86 patients by RT-qPCR. It was found that the levels of miR-122-5p at diagnosis were significantly higher (p-value: 0.0002) in patients who relapsed compared to patients in remission. The 5-year event-free survival of cases with high and low levels of miR-122-5p was 65 ± 7% and 93 ± 4%, respectively. MiR-122-5p levels were significantly associated with clinical events in both univariate (p-value: 0.0009) and multivariate (p-value: 0.0037) analysis (hazard ratio 5.8). Target prediction analysis suggests an involvement in the polarization of immune cells. The phenotypic characterization of peripheral blood mononuclear cells in 12 patients showed significantly increased levels of CD4+ T-cells in cases with high miR-122-5p levels as compared to low levels (p-value: 0.048). Moreover, CCL17 (TARC) and IL-6 plasma levels at diagnosis were significantly higher as compared to healthy donors (p-value: ≤0.0001). MiR-122-5p could complement current prognostic assays to identify patients at high risk of relapse. Full article

We have designed and built an improved system for combined Time-Domain Near-Infrared Spectroscopy (TD NIRS) and Diffuse Correlation Spectroscopy (DCS) measurements. The system features two independent channels, enabling TD NIRS and DCS acquisition at short and long source-detector distances to enhance depth sensitivity in layered tissues. Moreover, the device can operate at fast acquisition rates (up to 50 Hz) to monitor hemodynamic oscillations in biological tissues. An OEM (Original Equipment Manufacturer) TD NIRS device enables stable and robust acquisition of photon distribution of time-of-flight. For the DCS signals, the use of a time tagger and a software correlator allows us flexibility in post-processing. A user-friendly GUI controls TD NIRS data acquisition and online data analysis. We present results for the system characterization on calibrated tissue phantoms according to standardized protocols for performance assessment of TD NIRS and DCS devices. In-vivo measurements during rest and during vascular occlusions are also reported to validate the system in real settings. Full article

Background: Despite the implementation of enhanced recovery programs, the reported average postoperative length of stay after robotic lobectomy remains as 4 days. In this prospective study, we present the outcomes of early discharge (on day 2) with telehealth home monitoring device after robotic lobectomy for lung cancer in selected patients. Methods: All patients with a caregiver were discharged on postoperative day 2 (POD 2) with a telemonitoring device provided they met the specific discharge criteria. Inclusion criteria: <75 years old, stage I-II NSCLC, with caregiver, ECOG 0–2, scheduled for lobectomy, logistic proximity to hospital (<60 km); intra-postoperative exclusion criteria: conversion to open surgery, early complications needing hospital monitoring or redo-operation, difficult pain management, <92 HbO2% saturation on room air or need for O2 supplementation, altered vital or laboratory parameters. Teleconsultations were scheduled as follows: the first one in afternoon of POD2, two on POD3, then once a day until chest tube removal. After discharge, patients recorded their vital signs at least four times a day using the device, which allowed two surgeons to monitor them via a mobile application. In the event of sudden changes in vital signs or the occurrence of adverse events, patients had access to a direct phone line and a dedicated re-hospitalization pathway. The primary outcome was safety, assessed by the occurrence of post-discharge complications or readmissions, as well as feasibility. Secondary outcomes: comparison of safety profile with a matched control group in which the standard of care and the evaluation of resource optimization were maintained and economic evaluation. Results: Between July 2022 and February 2024, 48 patients were enrolled in the present study. Six patients (12.5%) dropped out due to unsatisfied discharge criteria on POD2. Exclusion causes were: significant air leaks (n:2) requiring monitoring and the use of suction device, uncontrolled pain (n:2), atrial fibrillation, and occurrence of cerebral ischemia (n:1 each). The adherence rate to vital signs monitoring by patients was 100%. A mean number of four measurements per day was performed by each patient. During telehealth home monitoring, a total of 71/2163 (1.4%) vital sign measurements violated the established acceptable threshold in 22 (52%) patients. All critical violations were managed at home. During the surveillance period (defined as the time from POD 2 to the day of chest tube removal), a persistent air leak was recorded in one patient requiring readmission to the hospital (on POD 13) and re-intervention with placement of a second thoracic drainage due to unsatisfactory lung expansion. No other postoperative complication occurred nor was there any readmission needed. Compared to the control group, the discharge gain was 2.5 days, with an economic benefit of 528 €/day (55.440 € on the total enrolled population). Conclusions: Our results confirm that the adoption of telehealth home monitoring is feasible and allows a safe discharge on postoperative day two after robotic surgery for stage I-II NSCLC in selected patients. A potential economic benefit (141 days of hospitalizations avoided) for the healthcare system could result from the adoption of this protocol. Full article

Background: In patients treated with partial nephrectomy, prior evidence showed that peri-operative outcomes, such as complications and ischemia time, improved as a function of the surgical experience of the surgeon, but data on functional outcomes after surgery are still scarce. Methods: We retrospectively analyzed data of 4011 patients with a single, unilateral cT1a-b renal mass treated with laparoscopic or robot-assisted partial nephrectomy. The operations were performed by 119 surgeons at 22 participating institutions between 1997 and 2022. Multivariable models investigated the association between surgical experience (number of prior operations) and acute kidney injury (AKI) and recovery of at least 90% of baseline estimated glomerular filtration rate (eGFR) 1 yr after partial nephrectomy. The adjustment for case mix included age, Body Mass Index, preoperative serum creatinine, clinical T stage, PADUA score, warm ischemia time, pathologic tumor size, and year of surgery. Results: A total of 753 (19%) and 3258 (81%) patients underwent laparoscopic and robot-assisted partial nephrectomy, respectively. Overall, 37 (31%) and 55 (46%) surgeons contributed only to laparoscopic and robotic learning curves, respectively, whereas 27 (23%) contributed to the learning curves of both approaches. In the laparoscopic group, 8% and 55% of patients developed AKI and recovered at least 90% of their baseline eGFR, respectively. After adjusting for confounders, we did not find evidence of an association between surgical experience and AKI after laparoscopic partial nephrectomy (odds ratio [OR]: 0.9992; 95% confidence interval [CI]: 0.9963, 1.0022; p = 0.6). Similar results were found when 1-year renal function was the outcome of interest (OR: 0.9996; 95% CI: 0.9988, 1.0005; p = 0.5). Among patients who underwent robot-assisted partial nephrectomy, AKI occurred in 11% of patients, whereas 54% recovered at least 90% of their baseline eGFR. On multivariable analyses, the relationship between surgical experience and AKI after surgery was not statistically significant (OR: 1.0015; 95% CI: 0.9992, 1.0037; p = 0.2), with similar results when the outcome of interest was renal function one year after surgery (OR: 1.0001; 95% CI: 0.9980, 1.0022; p = 0.9). Virtually the same findings were found on sensitivity analyses. Conclusions: In patients treated with laparoscopic or robot-assisted partial nephrectomy, our data suggest that the surgical experience of the operating surgeon might not be a key determinant of functional recovery after surgery. This raises questions about the use of serum markers to assess functional recovery in patients with two kidneys and opens the discussion on what are the key steps of the procedure that allowed surgeons to achieve optimal outcomes since their initial cases. Full article

Introduction: Nailfold video-capillaroscopy (NVC) is a non-invasive cost-effective technique involving the microscopic examination of small blood vessels of the distal nailfold with a magnification device. It provides valuable information regarding the microcirculation including anomalies such as tortuous or dilated capillaries, hemorrhages, and avascular areas, which can characterize connective tissue diseases. The utility of NVC in the diagnosis and monitoring of systemic sclerosis (SSc) has been investigated in numerous studies allowing the distinction of the specific microvascular pattern of scleroderma from different conditions other than scleroderma (non-scleroderma pattern). Sarcoidosis (SA) is a systemic inflammatory disease that can affect various organs, including the lungs, skin, and lymph nodes. The purpose of our review was to evaluate the current state of the art in the use of NVC in the diagnosis of SA, to understand the indications for its use and any consequent advantages in the management of the disease in different settings in terms of benefits for patients. Materials and Methods: We searched for the key terms “sarcoidosis” and “video-capillaroscopy” in a computerized search of Pub-Med, extending the search back in time without setting limits. We provided a critical overview of the literature, based on a precise evaluation. After our analysis, we examined the six yielded works looking for answers to our questions. Results: Few studies have evaluated that microcirculation is often compromised in SA, with alterations in blood flow and consequent tissue damage. Discussion: Basing on highlighted findings, NVC appears to be a useful tool in the initial evaluation of sarcoidosis patients. Furthermore, capillaroscopy is useful in the evaluation of the coexistence of sarcoidosis and scleroderma spectrum disorder or overlap syndromes. Conclusions: In conclusions, no specific pattern has been described for sarcoidosis, and further re-search is needed to fully understand the implications of nailfold capillaroscopy find-ings in this disease and to establish standardized guidelines for its use in clinical practice. Full article