Search Results (567)

Oxidative stress, driven by impaired antioxidant defence systems, is a major contributor to cognitive decline and neurodegenerative processes in brain ageing. This study investigates the neuroprotective effects of a natural compound mixture—composed of Hericium erinaceus, Palmitoylethanolamide, Bilberry extract, and Centella asiatica—using a multi-step in vitro strategy. An initial evaluation in a 3D intestinal epithelial model demonstrated that the formulation preserves barrier integrity and may be bioaccessible, as evidenced by transepithelial electrical resistance (TEER) and the expression of tight junctions. Subsequent analysis in an integrated gut–brain axis model under oxidative stress conditions revealed that the formulation significantly reduces inflammatory markers (NF-κB, TNF-α, IL-1β, and IL-6; about 1.5-fold vs. H₂O₂), reactive oxygen species (about 2-fold vs. H₂O₂), and nitric oxide levels (about 1.2-fold vs. H₂O₂). Additionally, it enhances mitochondrial activity while also improving antioxidant responses. In a co-culture of neuronal and astrocytic cells, the combination upregulates neurotrophic factors such as BDNF and NGF (about 2.3-fold and 1.9-fold vs. H₂O₂). Crucially, the formulation also modulates key biomarkers associated with cognitive decline, reducing APP and phosphorylated tau levels (about 98% and 1.6-fold vs. H₂O₂) while increasing Sirtuin 1 and Nrf2 expression (about 3.6-fold and 3-fold vs. H₂O₂). These findings suggest that this nutraceutical combination may support the cellular pathways involved in neuronal resilience and healthy brain ageing, offering potential as a functional food ingredient or dietary supplement. Full article

Background and Objectives: Anterior cruciate ligament (ACL) injury rates remain high and have a significant impact on female football players. This study aims to evaluate knee kinematics and lower limb muscle activity in players at risk of ACL injury compared to healthy players through three side-cutting tests. It also investigates how the amplitude of a change in direction influences stabilization parameters. Materials and Methods: A cross-sectional case–control study was conducted with 16 second division female futsal players (23.93 ± 5.16 years), divided into injured (n = 8) and healthy groups (n = 8). Injured players had a history of non-contact knee injury involving valgus collapse, without undergoing surgical intervention. Three change of direction tests, namely the Change of Direction and Acceleration Test (CODAT), Go Back (GOB) test, and Turn (TURN) test, were used for evaluation. The peak and range of knee joint angles and angular velocities across three planes, along with the average rectified and peak envelope EMG signals of the Biceps Femoris (BF), Semitendinosus (ST), Vastus Medialis (VM), and Lateral Gastrocnemius (LG), were recorded during the preparation and load phases. Group differences were analyzed using two-factor mixed-model ANOVA with pairwise comparisons. Statistical significance was set at p < 0.05. Results: Injured players demonstrated lower external tibial rotation angular velocity and a greater range of motion in tibial external rotation compared to healthy players. Additionally, the injured group showed significantly higher average rectified muscle activity in VM and LG both increased by 4% during the load phase. The CODAT and TURN tests elicited higher BF and VM muscle activity, compared to the GOB test. The TURN test also showed greater extension angular velocity in the sagittal plane. Conclusions: The results revealed differences in knee kinematics and muscle activity between players at risk of ACL injury and healthy players, influenced by the amplitude of directional changes. Players altered transverse plane mechanics and increased VM and LG activation during LOAD may reflect a dysfunctional motor pattern, while the greater sagittal plane angular velocity and VM and BF activation from the CODAT and the TURN test highlight their higher potential to replicate ACL injury mechanisms compared to the GOB test. Full article

Federated Learning (FL), a key paradigm in privacy-preserving and distributed machine learning (ML), enables collaborative model training across decentralized data sources without requiring raw data exchange. FL enables collaborative model training across decentralized data sources while preserving privacy. However, selecting appropriate clients remains a major challenge, especially in heterogeneous environments with diverse battery levels, privacy needs, and learning capacities. In this work, a centralized reward-based payoff strategy (RBPS) with cooperative intent is proposed for client selection. In RBPS, each client evaluates participation based on locally measured battery level, privacy requirement, and the model’s accuracy in the current round computing a payoff from these factors and electing to participate if the payoff exceeds a predefined threshold. Participating clients then receive the updated global model. By jointly optimizing model accuracy, privacy preservation, and battery-level constraints, RBPS realizes a multi-objective selection mechanism. Under realistic simulations of client heterogeneity, RBPS yields more robust and efficient training compared to existing methods, confirming its suitability for deployment in resource-constrained FL settings. Experimental analysis demonstrates that RBPS offers significant advantages over state-of-the-art (SOA) client selection methods, particularly those relying on a single selection criterion such as accuracy, battery, or privacy alone. These one-dimensional approaches often lead to trade-offs where improvements in one aspect come at the cost of another. In contrast, RBPS leverages client heterogeneity not as a limitation, but as a strategic asset to maintain and balance all critical characteristics simultaneously. Rather than optimizing performance for a single device type or constraint, RBPS benefits from the diversity of heterogeneous clients, enabling improved accuracy, energy preservation, and privacy protection all at once. This is achieved by dynamically adapting the selection strategy to the strengths of different client profiles. Unlike homogeneous environments, where only one capability tends to dominate, RBPS ensures that no key property is sacrificed. RBPS thus aligns more closely with real-world FL deployments, where mixed-device participation is common and balanced optimization is essential. Full article

Objectives: This study aims to identify the effectiveness of exercise in chronic tension-type headache and chronic migraine. Methods: The PICOS (Population, Intervention, Comparator, Outcomes, Study design) strategy was followed, where P—patients with chronic tension-type headache or chronic migraine; I—exercise; C—conventional treatment; O—pain reduction; and S—RCTs (randomized controlled trials) and quasi-experimental trials. Studies with a high risk of bias according to the RoB 2 (Risk of Bias) scale and with a score < 6 according to the PEDro (Physiotherapy Evidence Database) scale were excluded. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement was followed. The databases Pubmed, Web of Science, and Scopus were searched in November 2024. The PEDro and RoB2 scales were used to assess the risk of bias and internal validity of the studies. The results were synthesized qualitatively. Results: Ten studies with a total sample of 848 subjects were analyzed, comparing therapeutic interventions with an exercise versus conventional treatment. In most of the studies, the exercise group significantly outperformed the control group in pain reduction. Discussion: The findings suggest that exercise improves central pain modulation and reinforces the potential of body strategies such as postural integration. The main limitations found were the limited evidence on exercise’s role in chronic tension-type headache or migraine and the risk of bias due to the difficulty of blinding patients, therapists, and evaluators. Conclusions: The studies analyzed have shown that exercise could be an effective strategy to support the management of chronic tension-type headache and migraine. Full article

State estimation in distribution power systems is increasingly challenged by the proliferation of distributed energy resources (DERs), bidirectional power flows, and the growing complexity of unbalanced network topologies. Physics-Informed Neural Networks (PINNs) offer a compelling solution by integrating machine learning with the physical laws that govern power system behavior. This paper introduces a PINN-based framework for state estimation in unbalanced distribution systems, leveraging available data and embedded physical knowledge to improve accuracy, computational efficiency, and robustness across diverse operating scenarios. The proposed method is evaluated on four IEEE test feeders—IEEE 13, 34, 37, and 123—using synthetic datasets generated via OpenDSS to emulate realistic operating scenarios, and demonstrates significant improvements over baseline models. Notably, the PINN achieves up to a 97% reduction in current estimation errors while maintaining high voltage prediction accuracy. Extensive simulations further assess model performance under noisy inputs and partial observability, where the PINN consistently outperforms conventional data-driven approaches. These results highlight the method’s ability to generalize under uncertainty, accelerate convergence, and preserve physical consistency in simulated real-world conditions without requiring large volumes of labeled training data. Full article

Background: The blood–brain barrier (BBB) plays a critical role in protecting the central nervous system (CNS) but also limits drug delivery. Insufficient knowledge of how the CNS promotes the onset and maintenance of peripheral neuropathic pain limits therapeutic methods for the treatment of persistent neuropathic pain. Thus, this study aimed to evaluate the ability of a novel combination of Palmitoylethanolamide (PEA) and Equisetum arvense L. (Equisetum A.L.) to cross the BBB and modulate nociceptive pathways. Methods: Using a humanised in vitro BBB tri-culture model, the permeability, cytotoxicity, and integrity of the barrier were assessed after exposure to two different PEA forms, PEA ultramicronized (PEA-um) and PEA80mesh, Equisetum A.L., and a combination of the last two samples. The samples exhibited no cytotoxicity, maintained tight junction integrity, and efficiently crossed the blood–brain barrier (BBB), with the combination displaying the highest permeability. The eluate from the BBB model was then used to stimulate the co-culture of CCF-STTG1 astrocytes and SH-SY5Y neurons pre-treated with H₂O₂ 200 µM. Results: Treatment with the combination significantly increased cell viability (1.8-fold, p < 0.05), reduced oxidative stress (2.5-fold, p < 0.05), and decreased pro-inflammatory cytokines (TNFα, IL-1β) compared to single agents. Mechanistic analysis revealed modulation of key targets involved in pain pathways, including decreased FAAH and NAAA activity, increased levels of endocannabinoids (AEA and 2-AG), upregulation of CB2 receptor expression, enhanced PPARα activity, and reduced phosphorylation of PKA and TRPV1. Conclusions: These findings suggest that the combination of PEA and Equisetum A.L. effectively crosses the BBB and exerts combined anti-inflammatory and analgesic effects at the CNS level, suggesting a possible role in modulating neuroinflammatory and nociception responses. Full article

This paper presents the identification of the functional requirements and development of a preliminary concept of the AgriRover, a low-cost, modular autonomous vehicle intended to support sustainable practices in traditional vineyards in developing countries, focusing on the Ica region of Peru. Viticulture in this region faces acute challenges such as soil salinity, climate variability, labour shortages, and low technological readiness. Rather than offering a ready-made technological integration, this study adopts a step-by-step design approach grounded in the realities of smallholder farmers. The authors mapped the phenological stages of grapevines using the BBCH scale and systematically reviewed available sensing and monitoring technologies to determine the most context-appropriate solutions. Virtual modelling and preliminary analysis validate AgriRover’s geometric configuration and path-following capabilities within narrow vineyard rows. The proposed platform is meant to be adaptable, scalable, and maintainable using locally available material and human resources. AgriRover offers a practical and affordable foundation for precision agriculture in resource-constrained settings by aligning viticultural challenges with sensor deployment strategies and sustainability criteria. The sustainability analysis of the initial AgriRover concept was evaluated using the CML methodology, accounting for local waste processing rates and energy mixes to reflect environmental realities in Peru. Full article

The gut-liver-adipose axis plays a pivotal role in metabolic regulation, and its dysregulation contributes to obesity and metabolic syndrome. Probiotics and polycosanol have shown potential in modulating gut barrier integrity, lipid metabolism, and inflammation. This study aimed to evaluate their combined effects using an in vitro model of the gut-liver-adipose axis. Transwell^® system was used to recreate the interaction between intestinal (CaCo-2), hepatic (HepG2), and adipose (3T3-L1) cells. Cells were treated with Bifidobacterium bifidum GM-25, Bifidobacterium infantis GM-21, Lacticaseibacillus rhamnosus GM-28, and polycosanols. The effects were assessed by analyzing intestinal barrier integrity (TEER, tight junction proteins), hepatic and adipose lipid accumulation (Oil Red O staining), oxidative stress (ROS production, lipid peroxidation), inflammation (TNF-α) and lipid metabolism (CD36, PPARγ, AMPK and SREBP-1 levels). Probiotics and polycosanols improved intestinal integrity, increased butyrate production, and reduced ROS levels. Hepatic lipid accumulation was significantly decreased, with enhanced PPARγ and AMPK activation. In adipocytes, probiotic-polycosanols treatment suppressed SREBP-1 expression, enhanced lipid oxidation, and promoted UCP1 and PGC-1α expression, suggesting activation of thermogenic pathways. These findings underline a possible biological relevance of probiotics and polycosanols in modulating metabolic pathways, improving gut barrier integrity, and reducing inflammation, supporting their role as functional ingredients for metabolic health. Full article

Background: Head and neck squamous cell carcinoma (HNSCC) exhibit considerable heterogeneity, complicating the prediction of disease progression and treatment response. Consequently, researchers are actively investigating reliable biomarkers to forecast disease trajectories and inform therapeutic decisions. This study examines the role of BAG3, a protein involved in cell survival and stress response, as a potential predictive marker in HNSCC. The objective is to analyze BAG3 expression across various HNSCC types and correlate it with disease-free survival (DFS), aiming to elucidate the influence of BAG3 positivity on cancer progression. Methods: A multi-institutional retrospective study was conducted by analyzing BAG3 expression by immunohistochemistry in 104 tissue samples from patients with head and neck squamous cell carcinoma (HNSCC). The data were then correlated with DFS to assess the impact of BAG3 positivity on prognosis. Results: Immunohistochemical analysis of primary tumor samples collected from therapy-naive patients showed that BAG3 positivity was widespread across different head and neck cancer sites, with no significant correlation to sex, smoking status, HPV infection, tumor location, grade, or TNM parameters. However, BAG3 high positive patients had shorter DFS (median 23.2 months) compared to BAG3-negative patients (median 31.3 months). Cox analysis revealed that BAG3 high expression by IHC was associated with a more than 3-fold increased risk of disease recurrence. Conclusions: This study is the first to explore BAG3 as a biomarker for HNSCC recurrence. While preliminary findings suggest a link between BAG3 positivity and increased recurrence risk, further research is needed to validate these results. Prospective studies could help establish BAG3’s prognostic value and potentially lead to more personalized treatment approaches for HNSCC. Full article

Vin Santo is a passito wine produced mainly in Tuscany. In the traditional production of Vin Santo, fermentation occurs naturally. Only a few reports have explored the microbial ecology of Vin Santo. Therefore, the present study aimed to investigate the microbial ecology and its impact on the fermentative kinetics in traditional processes of Vin Santo carried out in two different Tuscan wineries. Despite the different systems used for drying the grapes, both wineries showed similar microbial ecology. Non-Saccharomyces yeasts were the dominant microbial population during grape drying in different succession, even though in the end, the dominant species (at different percentages) in both were Metschnikowia pulcherrima, Kloeckera apiculata, and Starmerella bacillaris. The spontaneous fermentations were instead both dominated by Saccharomyces cerevisiae, however in different concentration throughout the process, leading to a different ethanol content—12% (v/v) and 10.8% (v/v) in winery A and B, respectively. In both wineries, acetic bacteria and moulds did not grow. Considering the intraspecific biodiversity of S. cerevisiae populations, the vinifications of both wineries displayed very similar biodiversity indices. No single strain of S. cerevisiae dominated the entire fermentation process. The analysis identified 30 distinct genetic patterns in the fermentations of winery A and 23 in the fermentations of winery B. The work provided an insight into the microbial communities and their metabolomic interactions during Vin Santo production which could improve the management and control of the process. Full article

Background: Venous hypertension is the primary cause of the disorder known as chronic venous insufficiency (CVI), which affects the lower extremities’ venous system. Because of its biological proper ties, which include anti-inflammatory, antioxidant, and vascular tone enhancement, medicinal herbs and natural substances are highly recommended for treating CVI. Therefore, this study examined the advantages of a novel combination composed of hypersmin, pumpkin seed and amaranthus extracts (named MIX) in modulating different parameters involved with CVI. Methods: The capacity of these natural compounds to pass across the intestinal barrier and reach the bloodstream was examined using a 3D intestinal barrier model that mimics oral ingestion. The biological effects of the MIX were then compared to those of a commercial product using an in vitro CVI model. Results: The findings demonstrate that the new MIX significantly reduced inflammation while increasing nitric oxide production. The MIX was more successful than the commercial product in reducing apoptosis while restoring vasal tone and extracellular matrix activity. Conclusions: This work has therefore demonstrated the positive benefits of extracts from amaranthus, pumpkin seed and hypersmin in the context of CVI, raising the prospect of creating a unique combination for patients with CVI. Full article

This study investigates the volcano–sedimentary processes that occurred in an oceanic branch of the Western Tethys, now part of the Gimigliano–Monte-Reventino metaophiolite Unit, exposed at the southeastern termination of the Sila Piccola Massif, within the northern sector of the Calabria–Peloritani terrane (Calabria, southern Italy). Fieldwork, petrography, and mineralogical analyses on the Gimigliano metaophiolite succession have identified five distinct volcano–sedimentary lithofacies. These lithofacies are characterized by mineral assemblages of epidote, chlorite, quartz, and albite, with minor amounts of muscovite and calcite, resulting from high-pressure–low-temperature (HP-LT) metamorphism followed by low-grade greenschist metamorphism of mid-oceanic ridge basalt (MORB)-type volcanic products. Based on their stratigraphic and textural features, these lithofacies have been interpreted as metabasaltic flow layers emplaced during effusive volcanic eruptions and metahyaloclastic and metavolcaniclastic deposits formed by explosion-driven processes. This lithofacies assemblage suggests that the Gimigliano area likely represented an oceanic sector with high rates of magmatic outflows, where interactions between magma and water facilitated explosive activity and the dispersion of primary volcaniclastic deposits, mainly from the water column, in addition to the emplacement of basaltic lava flow. In contrast, other metaophiolite complexes in the Calabria region, characterized by the presence of pillow basalts, were areas with low effusive rates. The coexistence of these differences, along with the extensive presence of metaultramafites, portrays the Calabrian branch of the Tethys as a slow-spreading oceanic ridge where variations in surficial volcanic processes were controlled by differences in the effusion rates across its structure. This study is a valuable example of how a volcano–sedimentary approach to reconstructing the emplacement mechanisms of metaophiolite successions can provide geodynamic insights into ancient oceanic ridges. Full article

This research work aims to design and develop a dynamic vibration absorber that effectively reduces the vibrations of a flexible structure subjected to external loads. The analysis presented in this paper initially focuses on identifying the resonance frequencies of a typical structural system, which serves as the case study, since these frequencies are critical to dampening due to their potential to cause excessively large vibration amplitudes. Following this, the optimal parameters of the vibration absorber, including the mass, stiffness, and damping characteristics of the proposed design, were determined. Additionally, this paper proposes and examines the use of viscous-type damping, which is achieved through piston–cylinder systems connected to the structural components of the analyzed frame structure. Thus, the main contributions of this work include the analytical dimensioning, the technical design, and the virtual prototyping of a dynamic absorber constructed using a guyed mast structure capable of significantly reducing mechanical vibrations. This design solution ultimately enhances the strength and durability of the frame structure represented in the case study under external excitation, particularly in the worst-case scenario of seismic action. Furthermore, a key aspect of this study is implementing a new numerical procedure for identifying the system equivalent stiffness coefficient based on its mass and modal parameters, which is particularly useful in engineering applications. The numerical experiments conducted in this work support the effectiveness of the proposed design solution, devised specifically for the dynamic vibration absorber developed in this paper. Full article

A major challenge in developing new functional foods is effectively protecting and releasing bioactive compounds in specific body areas. The Multiform Administration Timed Release Ingredients System (M.A.T.R.I.S.) is an innovative method that coats active ingredient particles with a permeable membrane, allowing for diffusion without the presence of inactive materials. This study aimed to test how M. A. T. R. I. S. modulated the absorption and effects of two molecules: α-lipoic acid and acetyl-L-carnitine. This study examined the structures of these molecules with or without M.A.T.R.I.S. and investigated their intestinal absorption. Peripheral nervous system analyses were also conducted to confirm the ability of substances to maintain their functions in the presence of M.A.T.R.I.S. Results showed that M.A.T.R.I.S. modulated the absorption of both molecules compared to granular raw material forms (p < 0.05). Additionally, the M.A.T.R.I.S. molecules better supported peripheral nerve well-being than their granular raw material forms (p < 0.05). In conclusion, this study demonstrates that M.A.T.R.I.S. technology can be used to create innovative, safe treatments by enhancing absorption mechanisms to improve the effectiveness of substances in reaching their specific targets. Full article

Background/Objectives: Respiratory Syncytial Virus (RSV) is a leading cause of Lower Respiratory Tract Infections (LRTIs), posing a serious threat to vulnerable populations. Although growing evidence highlights its significant impact on older adults, RSV surveillance and data collection remain largely focused on children, underestimating the burden in older and high-risk adults. This review aims to synthesize current evidence on the epidemiological and clinical impact of RSV in older adults in Europe, assess existing surveillance strategies, and identify gaps to guide targeted public health responses. Methods: A two-phase research strategy was adopted. First, a comprehensive review of studies published between 2015–2025 was conducted via PubMed, focusing on the RSV burden in high-risk and elderly populations in Europe. Second, a structured web screening was performed to assess the status of existing RSV surveillance systems, focusing on eight selected European countries. Results: The review reported RSV prevalence rates ranging from 1% to 64.7% among older adults, with a high prevalence of comorbidities that exacerbate disease severity. Hospitalization rates varied between 12.6–55.9%, while mortality ranged from 2.15% to 13%, reaching up to 36% in intensive care settings. Surveillance systems for adult RSV infections across Europe remain limited and fragmented, with only 37.5% (3/8) of analyzed countries having dedicated surveillance for adults. Conclusions: RSV represents a substantial and underrecognized threat to older adults, with significant clinical and healthcare implications. Strengthening surveillance, standardizing data collection, and ensuring equitable access to newly available preventive measures are urgent priorities to reduce the disease burden, protect vulnerable populations, and support resilient health systems against future health challenges. Full article