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Online Compensation of Systematic Effects in Stimuli Generation for XR-Based SSVEP BCIs
No full textBackground: Brain–Computer Interfaces (BCIs) based on Steady-State Visually Evoked Potentials (SSVEPs) and Extended Reality (XR) offer promising solutions for highly wearable applications, but their classification performance can be affected by systematic effects in stimulus presentation. Novelty: This study introduces a novel online compensation method to compensate for systematic effects in the Refresh Rate (RR) of XR displays, enhancing SSVEP classification without requiring additional training or invasive measurements. Methods: A non-invasive monitoring module was incorporated into the developed BCI pipeline to measure frame rate variations in the XR display, allowing deviations between nominal RR and measured values to be automatically detected and compensated for. Classification performance was evaluated using Filter Bank Canonical Correlation Analysis (FBCCA). Statistical significance was assessed using Student’s t-test. Materials: Two datasets were used: a dataset based on Moverio BT-350, including 9 subjects, and a dataset based on HoloLens 2, including 30 subjects, all collected by the authors. Results: The proposed compensation method led to significant improvements in SSVEP classification accuracy, proportional to the magnitude of fps deviations. In some cases, classification accuracy increased by up to 300% relative to its original value. Statistical analyses confirmed the reliability of the results across subjects and datasets. Conclusions: These findings show that the proposed method effectively enhances SSVEP-based BCIs in XR environments and provides a robust foundation for practical applications requiring high reliability
A deep learning-based method for efficient floating garbage debris recognition on high-performance edge computing platform
No full textOur research introduces a novel method to identifying floating garbage debris using deep learning and High Performance Edge Computing (HPEC). We utilize a convolutional neural network (CNN) to classify debris from images captured by an RGB camera on a vessel, aiming for high accuracy and efficiency on low-power devices. We conducted a comparative analysis of various models, implementing optimization techniques like transfer learning and pruning. Each model was evaluated for accuracy, inference time, and energy consumption, leading us to develop a multi-objective function to determine the best approach. Our findings show that the proposed method effectively detects and classifies floating debris on desktop GPUs and low-power devices such as the Jetson Nano. Furthermore, it maintains accuracy by optimizing memory and computational power requirements while adapting to different energy needs. These advancements can enhance the capacity to combat marine plastic pollution and promote intelligent systems integration within environmental initiatives. They facilitate precise, real-time detection of floating debris on energy-constrained edge platforms, thereby effectively addressing deployment challenges in marine environments
From waste to worth: wine lees composition and applications in research and industry
No full textIn enology, the term “wine lees” refers to the sediment that settles at the bottom of wine containers (e.g., tanks, barrels, or bottles) after fermentation and during the aging of wine. They consist mainly of biomass from yeast cells –also lactic acid bacteria–, grape solids, and particles of various compositions that precipitate out of wine over time. Wine lees are often used in the aging process because of their antioxidant properties and the enhancement of the sensory properties of wine. In terms of quantity, wine lees are the second most abundant by-product of winemaking, after grape pomace. Recently, wine lees are increasingly being recognized as a valuable resource within the circular economy, being used for the production of bioactive compounds, biofuels, cosmetics, and organic fertilizers, among others. This approach not only contributes to the sustainability of the wine industry but also reduces the environmental impact of the waste generated during winemaking. This review provides an overview of the properties and potential uses of the wine lees reported to date
Business in Conflicting Times: a resilience-based view on international agreements
No full textThis research observes the first effects of one of the most recent agreements for international cooperation – i.e., the Regional Comprehensive Economic Partnership (RCEP) – due to the facilitation it brought to international trade. A multiple linear regression on longitudinal data shows the variables depicting the first – besides contrasting – effects of new measures favouring the trade exchange among 15 partner countries in the Asia-Pacific region. Resilience emerges as a key topic in this investigation, due to the advantages of considering new and closer destination markets when planning the further development of international trad
nel Collegio del Dottorato di Ricerca in Diritti umani. Teoria, storia e prassi attivato presso l’Università degli Studi di Napoli Federico II,
No full textSubcutaneous Tumor Tract Seeding After Percutaneous Ablation for Clear Cell Renal Cell Carcinoma: A Case Report and Literature Review
No full text: Background and Clinical Significance: Percutaneous ablation is an increasingly used nephron-sparing treatment for small renal masses (SRMs). Although generally considered safe, tumor seeding along the applicator tract is rare (<0.1%) and may be underreported. This study reviews the existing literature to synthesize patterns, potential risk factors, and clinical presentation of this complication following percutaneous thermal ablation of renal cell carcinoma (RCC). Case Presentation: We report the case of an 84-year-old man who developed late subcutaneous abdominal-wall tumor seeding more than ten years after nephron-sparing surgery for a T1a renal mass and following three sessions of percutaneous cryo- and microwave ablation for recurrent clear-cell renal cell carcinoma (ccRCC). The lesion was surgically excised, and histology confirmed ccRCC with negative margins. A descriptive literature review was conducted using PubMed and ScienceDirect to identify English-language case reports and case series (CS) documenting tumor seeding after RCC percutaneous ablation. Eight studies involving nine patients met the inclusion criteria. The median age was 66 years (interquartile range [IQR] 64-74; range 47-84). The median follow-up duration was 11 months (IQR, 4.5-18.5; range 3-60), and the median interval to tumor seeding was 11 months (IQR, 6-18.5; range 3-60). Management included surgical excision (50%), repeat cryoablation (25%), and systemic therapy or supportive care (25%). Conclusions: Tumor tract seeding following percutaneous ablation for RCC is rare, with variable latency and presentation. Procedural factors such as the absence of tract ablation, multiple probe passes, and intra-procedural biopsy may increase risk. Awareness of this complication and long-term surveillance should be incorporated into follow-up protocols. Despite this risk, percutaneous ablation remains a safe and effective option for appropriately selected patients
introduzione
No full textIntroduzione al volume: quadro territoriale e settoriale di riferimento; contestualizzazione del caso studio; sintesi dei capitol
