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Influence of drainage retinotomy on anatomical and visual outcomes of pars plana vitrectomy for primary rhegmatogenous retinal detachment.
MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding
Exploring the Neural Correlates of Metal Exposure in Motor Areas
Background and objective: Environmental and occupational exposure to toxic metals poses a significant risk to neurological health, particularly affecting motor-related brain structures. Essential metals like manganese, copper, and iron become neurotoxic when homeostasis is disrupted, while non-essential metals such as lead, mercury, and cadmium are inherently toxic, even at low exposure levels. We aimed to investigate the state of the art on neuroimaging evidence of the effects of exposure to toxic metals on motor related brain structures and functions. Methods: PRISMA guidelines were followed. We included studies that reported neuroimaging studies exploring the link between metal exposure and neural changes in motor areas. Results: We identified 518 papers, but only 20 articles were included. Our findings indicate that manganese is the most extensively studied metal in relation to the motor system using neuroimaging, but studies have also investigated the effects of other metals, including lead, mercury, and copper. Across these studies, the brain regions most consistently affected by metal exposure include the globus pallidus, caudate nucleus, frontal cortex, and cerebellum. Some studies exhibit structural or functional reductions in these areas that correlate with increased levels of metal exposure, suggesting a dose-dependent neurotoxic effect. Conclusions: This review synthesizes current neuroimaging evidence on metal-induced neurotoxicity, emphasizing its impact on motor function and highlighting critical gaps to guide future research and public health strategies
Audio Features Investigation for Singing Voice Deepfake Detection
The audio forensics field has recently faced a new challenge: singing voice deepfake detection. Current approaches to tackle this problem have borrowed methods initially developed for the more established task of speech deepfake detection, often simply retraining these systems on singing voice data. However, effective speech detection techniques may not necessarily perform well on singing voice, and there has been limited research on identifying the factors that can improve detection specifically in the singing domain. This paper investigates the effectiveness of various audio representations and features for discriminating real and synthetically generated singing voice signals. We evaluate two Convolutional Neural Network (CNN)-based detection systems using a wide range of audio representations, including handcrafted, learning-based, and pre-trained features. Through a systematic analysis, we aim to understand the key factors that can improve the performance of deepfake detection methods for singing voices. Additionally, we investigate the differences between singing voice and speech detection, highlighting the implications of the feature sets considered. Our results offer valuable insights and guidance for developing more advanced and effective singing voice deepfake detection systems in the future
Exploring the Adoption of Collaborative Robots for the Preparation of Galenic Formulations
Galenic preparations are patient-centered medicines prepared by pharmacists or veterinarians, which allow personalizing dosages, overcoming allergy problems, reducing costs, and dealing with rare diseases. However, the current manual production process of galenic preparations poses several challenges to human workers. This paper proposes the use of collaborative robots to help pharmacists carry out the most tiresome, precise, error-prone, and time-consuming tasks. In particular, an end-user development (EUD) environment called PRAISE (pharmaceutical robotic and AI system for end users) has been designed to support pharmacists in programming the tasks to be performed by a collaborative robot. The EUD environment integrates artificial intelligence (AI) features based on large language models but ensures that end users always have complete control over the generated output, that is, a robot program. The paper focuses on the application of a human-centered methodology adopted to design PRAISE by involving representative end users (experts in the pharmaceutical sector) from system ideation to its evaluation. Design implications related to AI-enabled EUD for collaborative robots are the main findings of the paper
A Sampling Approach to Planning with Infinite Domain Control Variables
Research in planning has sought to broaden the scope of planning problems by incorporating numeric parameters into action descriptions to condition both continuous and discrete change. Focusing on the latter, this work studies the problem of numeric planning with control variables, a reformulation of actions with infinite domain parameters. To tackle the challenge of handling an infinite decision space driven by control variables, we incorporate sampling into a forward state-space search. The resulting search framework (1) partially expands nodes by sampling their successors and (2) implements a re-expansion strategy to sample additional successors if a node shows promise in future evaluations. We perform a deep probe into this concept that materializes into a new algorithm called Sampling Greedy Best-First Search (SGBFS). Our empirical evaluation of S-GBFS across various domains shows significant improvements over existing planning approaches
Hormonal Contraception and Bone Metabolism: Emerging Evidence from a Systematic Review and Meta-Analysis of Studies on Post-Pubertal and Reproductive-Age Women
Background/Objectives: This study aims to assess the effects of combined hormonal contraceptives (CHCs) on bone metabolism markers. It primarily measures osteocalcin and additionally examines other bone health markers, seeking to determine their responses to estrogen–progestogen treatments. Methods: This study involved a comprehensive evaluation of the pertinent literature and a meta-analysis explicitly conducted on data describing women of reproductive age. The analysis encompassed accessible papers ranging to December 2024 (i.e., those listed in PubMed/Medline, Embase, Scopus, the Cochrane Database, International Clinical Trials Registry, and ClinicalTrials.gov). We examined published randomized controlled trials (RCTs) and prospective studies. The quality of the studies was assessed using the Cochrane tool for RCTs and the Newcastle–Ottawa Scale for prospective studies. The selected indicators for primary and secondary outcomes were ascertained by standardized mean change (SMC), displaying the difference between conditions before and after treatment. Trends were evaluated using meta-regressions. Results: Ultimately, 34 articles out of 1924 identified items met the inclusion criteria, covering 33 unique studies. In EE/E4 combinations, osteocalcin dropped significantly (SMC −0.54 (CI.95 −0.64/−0.43) and −0.43 (CI.95 −0.76/−0.10)). Similar effects were observed for other bone-formation and reabsorption markers, with less significant reductions observed in E2-containing CHC (e.g., alkaline phosphatase (bone) EE combinations, SMC −0.39 (CI.95 −0.67/−0.11); P1NP E2 combination, 0.12 (CI.95 −0.10/0.33); and EE combinations, −0.55 (CI.95 −0.83/−0.26)). The reduction patterns also exhibited differences according to the women’s age (e.g., osteocalcin in EE combinations ≤21, SMC −0.63 (CI.95 −0.77/−0.49) and >21, SMC −0.42 (CI.95 −0.61/−0.24); alkaline phosphatase (bone) EE combinations ≤21, SMC −0.55 (CI.95 −0.86/−0.24) and >21, SMC −0.06 (CI.95 −0.47/0.35)). This analysis found that CHC maintains or reduces bone turnover in childbearing women, with effects varying by age and hormone combination. Moreover, bone-formation and reabsorption markers correlated positively to pro-androgenic progestins (p < 0.05). Thus, estrogen–progestogen combinations reduce bone turnover less when weak estrogens and a pro-androgenic or neutral progestin are present. Conclusions: This study found that CHCs reduce bone turnover, with natural estrogens and androgenic progestins appearing to be more beneficial than EE and anti-androgenic types. These findings would potentially influence decisions relevant to CHC prescriptions during a woman’s reproductive phases, emphasizing the need for additional research to tailor CHC usage to bone health
Outcomes of loop ileostomy after rectal resection for cancer: A prospective observational multicenter snapshot study from Multidisciplinary Italian Study group for STOmas (MISSTO)
Background: Diverting ileostomy is a common procedure in rectal cancer surgery, but it is sometimes associated with a nonnegligible rate of complications. The primary aim of this study was to analyze the incidence and types of stoma-related complications for ileostomy creation after rectal cancer resection. The secondary aims were to report the indications, the technical details, and the efficacy of stoma care provided by ostomy nurses. Methods: From 15 February to 31 December 2022, consecutive patients who underwent protective ileostomy after anterior rectal cancer resection were enrolled for prospective data collection at 45 Italian colorectal surgery centers. Univariate and multivariate analyses were performed to evaluate factors that influenced the occurrence of stoma-related complications. Results: In all, 287 patients were enrolled in the analysis. The short- and long-term postoperative stoma-related morbidity rates were 33.8% and 29.62%, respectively. The most frequent complications were dehydration (17.77%), peristomal skin dermatitis (13.59%), mucocutaneous separation (8.36%), and stoma retraction (4.18%). At the end of follow-up (median time 9 months), the overall stoma closure rate was 83.97% (241 patients), with a median time to stoma closure of 146 days (range 9–483 days). On multivariate analysis, the presence of a stoma nurse was a significant protective factor against stoma-related complications. Conclusions: This study demonstrated that the creation of a protective ileostomy is associated to a nonnegligible rate of short-term and long-term postoperative stoma-related morbidity, higher than 25%. The most frequent complication is dehydration, and the presence of stoma-specialized nurses seems to be a protective factor for stoma-related complications. Moreover, more than 15% of protective stomas were not closed at the end of follow-up
Integrating ESG Elements into the Sustainability Practices of Tourism: A Systematic Literature Review
This study investigated the incorporation of Environmental, Social, and Governance (ESG) into sustainability practices within the tourism business through a systematic literature review (SLR). The tourism industry, which has a significant impact on the environment, is facing mounting pressures to implement sustainable practices. This study aims to gather current information on ESG practices, uncover emerging trends, and highlight areas that require further exploration. The study results showed that ESG initiatives in the tourism sector affect financial performance, operational efficiency, and sustainability outcomes. The research uncovered a growing focus on ESG practices, particularly since 2020, driven by regulatory requirements and evolving consumer preferences. Additionally, the incorporation of ESG elements differs about various types of businesses, and if are small and medium-sized enterprises (SMEs) encountering distinct challenges. The study concluded that, while ESG integration is crucial for aligning with global sustainability objectives, further efforts is necessary to address gaps, particularly in the context of SMEs and sector-specific ESG practices