Search Results (52)

Background: In recent years, botulinum toxin (BoNT) has been increasingly employed not only as a corrective aesthetic intervention but also as a proactive strategy to delay the visible signs of facial aging. This systematic review aims to evaluate the scientific evidence supporting the preventive role of BoNT in facial aging, focusing on its long-term effects, mechanisms of action, and clinical outcomes when used in younger, pre-symptomatic populations. Methods: A systematic literature search was conducted across PubMed, Scopus, and Web of Science databases. Inclusion criteria encompassed clinical trials and observational studies addressing the use of BoNT for proactive aesthetic strategies. Results: Evidence suggests that early BoNT application may reduce muscle hyperactivity, delay the formation of dynamic wrinkles, and minimize the development of static lines over time. Histological studies indicate a potential remodeling effect on dermal collagen. However, data remain heterogeneous, and long-term safety and efficacy outcomes are not yet fully established. Conclusion: Preventive BoNT injections represent a promising tool in the proactive management of facial aging. Further longitudinal, high-quality studies are needed to substantiate its role within evidence-based aesthetic protocols. Full article

Talaromyces marneffei is a zoonotic dimorphic pathogen endemic to Southeast Asia and reported in 33 countries, with an estimated 17,300 human cases and 4900 deaths annually. We aimed to identify the best available evidence regarding the epidemiological and clinical features and the prevalence of T. marneffei reported in companion animals, wildlife, and humans in Europe. A systematic literature review was conducted by searching three databases under PRISMA guidelines for “Talaromyces marneffei” or “talaromycosis” in Europe or the equivalent. References from the obtained publications were also checked to identify additional papers that met the inclusion criteria. The search was not limited by language or year. Studies published until 30 April 2025 were included. Due to the limited number of publications on animals, the geographic scope was expanded to a global level. Of the 915 studies identified, 33 were eligible and categorised according to the subject they addressed: talaromycosis in humans (n = 26), talaromycosis in companion animals (n = 4), and talaromycosis in wildlife (n = 3). Talaromycosis has been reported 28 times in 11 different European countries among humans. Additionally, one case of T. marneffei in wildlife has been documented in Europe. There is a potential liaison host between bamboo rats and humans. Talaromycosis is an emerging planetary neglected disease. Confusion with other diseases and potential misdiagnosis leads to delayed diagnosis and unnecessary risk to lives. Immunocompromised and HIV-positive patients should be screened for talaromycosis. The unexplained worldwide reports in atypical species and locations prompt a call to action for a more proactive search for T. marneffei in other domestic and wild animals, as well as in soil, to fully understand its hosts and transmission, which must incorporate the Stockholm Paradigm and Planetary Health perspectives. Full article

Background/Objectives: Low-frequency alternating current (LFAC) has been shown to induce nerve conduction block (LFACb). However, the effects of LFAC on conduction delay prior to block remain unclear. This study investigates the impact of LFACb on conduction velocity and blocking thresholds in myelinated and unmyelinated fibers using experimental and computational models. Methods: Four models were employed to analyze LFACb effects: (1) in-vivo experiments in earthworms examined conduction delays across nerve bundles with distinct conduction velocities; (2) ex-vivo experiments in canine vagus nerves assessed the upstream and downstream effects of LFAC waveforms ranging from 50 mHz to 500 mHz; (3) in-silico simulations using the Horn, Yoshida, and Schild (HYS) model for unmyelinated fibers explored size-dependent conduction delays and blocking thresholds; and (4) in-silico simulations using the McIntyre, Richardson, and Grill (MRG) model extended to 504 Nodes of Ranvier characterized myelination effects, localized nodal interactions, and diameter-dependent thresholds. Results: LFAC-induced conduction delays were independent of LFAC frequency but strongly influenced by fiber diameter and conduction velocity. Larger fibers exhibited lower block thresholds and shorter delays before block onset. In contrast, smaller fibers demonstrated prolonged subthreshold conduction delays before achieving full block. Conclusions: These findings suggest that LFACb could serve as a neuromodulation tool for selectively blocking larger fibers while preserving smaller fiber function. This has potential applications in functional electrical stimulation (FES) and temporary, non-destructive nerve blocks for clinical and research applications. Full article

Excessive amounts of free-oxygen radicals produced during inflammation induce oxidative stress and lead to cell damage, thus delaying the transition of inflammation into the proliferation in the wound healing process. Oxidative stress on skin cells also plays an important role in the pathogenesis of inflammatory skin diseases. The aim of the planned in vitro studies was to assess the mechanisms of regenerative action and protection of cells against oxidative stress of three oil emulsions from transgenic (GMO) flax varieties M, B, and MB and a linseed emulsion from traditional NIKE linseed oil. Antioxidant and gene-protective properties were identified for the tested oil emulsions in a healthy cell model and in an in vitro model of cells under oxidative stress. The wound-healing regenerative potential of these linseed emulsions was also assessed in the proliferation, cell cycle, migration, and apoptosis and necrosis assays. The conducted research presented that the tested transgenic oil emulsions are safe for human skin because they do not induce the proliferation of skin cancer cells and, at the same time, induce the migration processes of normal human skin cells. Additionally, their use increases the ability to eliminate damaged cells. Transgenic linseed oils provide a gene-protective effect and an increased antioxidant effect, resulting in increased protection of skin cells against oxidative stress, which plays an important role in the pathogenesis of atopic dermatitis and psoriasis. Linen emulsion B has the best regenerative and protective properties against human epidermis cancer, which is probably due to the presence of an increased amount of stigmasterol in its composition along with the appropriate content of polyphenol compounds, as well as an increased amount of oleic and linoleic acids. Full article

Background. Food allergies (FAs) are a significant public health concern, affecting 6–8% of children worldwide, with a growing prevalence. Schools are high-risk environments for allergic reactions, including anaphylaxis, which can be life-threatening. Alarmingly, up to 16–18% of children with FAs experience allergic reactions at school, often due to accidental exposure. Additionally, up to 25% of anaphylactic reactions in schools occur in children with no prior diagnosis of FA, emphasizing the critical need for school-wide preparedness and robust emergency action plans. School nurses play a pivotal role in managing FAs through individualized health plans, emergency preparedness, staff training, and psychosocial support. This review aims to evaluate the multifaceted role of school nurses in ensuring the safety, health, and psychosocial well-being of children with FAs. It also seeks to identify systemic challenges and gaps in allergy management to inform targeted interventions and future research. Methods. This comprehensive review synthesizes evidence on the role of school nurses in FA management. A systematic literature search was conducted across PubMed, CINAHL, Scopus, and Cochrane, targeting studies published between 2014 and 2024. The search identified 6313 articles, of which 5490 remained after duplicate removal. After title and abstract screening, 60 articles were selected for full-text evaluation, with 59 included in the final review. Thematic analysis identified six domains: preventive measures, emergency preparedness, communication, health outcomes, psychosocial support, and systemic challenges. Results. The review highlights the critical contributions of school nurses to FA management. They improve safety by implementing Individualized Health Plans (IHPs) and Emergency Action Plans (EAPs), ensuring timely administration of epinephrine and reducing delays during emergencies. Preventive strategies, such as allergen-free zones and comprehensive training for staff, minimize exposure risks. Psychosocial interventions led by nurses alleviate stigma, bullying, and anxiety, enhancing the quality of life for children with FAs. Despite these benefits, barriers persist, including insufficient nurse-to-student ratios, limited access to emergency resources like stock epinephrine, and disparities in allergy management across socioeconomic and geographic contexts. Conclusions. School nurses are integral to managing FAs, ensuring safety, fostering inclusion, and addressing psychosocial needs. Addressing systemic barriers and ensuring equitable resource distribution are essential to optimize their impact. Future research should focus on the long-term outcomes of nurse-led interventions, strategies to reduce disparities, and the potential role of digital tools in improving allergy management. Full article

Cenobamate is a novel third-generation antiepileptic drug used for the treatment of focal onset seizures and particularly for multi-drug-resistant epilepsy; it acts on multiple targets: GABA_A receptors (EC₅₀ 42–194 µM) and persistent neuronal Na⁺ currents (IC₅₀ 59 µM). Side effects include QT_c interval shortening with >20 ms, but not <300 ms. Our in vitro cardiac safety pharmacology study was performed via whole-cell patch-clamp on HEK293T cells with persistent/inducible expression of human cardiac ion channel isoforms hNav1.5 (I_Na), hCav1.2 (α1c + β2 + α2δ1) (I_CaL), hKv7.1 + minK (I_Ks), and hKv11.1 (hERG) (I_Kr). We found IC50 of 87.6 µM (peak I_Na), 46.5 µM (late I_Na), and 509.75 µM (I_CaL). In experiments on Ncyte^® ventricular cardiomyocytes, APD90 was reduced with 28.6 ± 13.5% (mean ± SD) by cenobamate 200 µM. Cenobamate’s marked inhibition of I_Na raises the theoretical possibility of cardiac arrhythmia induction at therapeutic concentrations in the context of preexisting myocardial pathology, in the presence of action potential conduction and repolarization heterogeneity. This hypothetical mechanism is consistent with the known effects of class Ib antiarrhythmics. In simulations with a linear strand of 50 cardiomyocytes with variable inter-myocyte conductance based on a modified O’Hara–Rudy model, we found a negligible cenobamate-induced conduction delay in normal tissue, but a marked delay and also a block when gap junction conduction was already depressed. Full article

Introduction: The frozen section intra-operative consultation is a pathology procedure that provides real-time evaluations of tissue samples during surgery, enabling quick and informed decisions. In the pre-analytical phase, errors related to sample collection, transport, and identification are common, and tools like failure mode, effects, and criticality analysis help identify and prevent risks. This study aims to enhance patient safety and diagnostic quality by analyzing risks and optimizing sample management. Materials and Methods: The failure mode, effects, and criticality analysis was conducted by a multidisciplinary team to analyze the workflow of frozen section sample handling from collection in the operating theater to acceptance at the pathology lab. Six steps were identified, each assigned tasks and responsibilities, with risks assessed through the risk priority number, calculated from severity, occurrence, and detectability. Severity was classified based on the WHO framework, ranging from “No Harm” to “Death”, to prioritize risks effectively. Results: The study identified 12 failure modes across 11 sub-processes, prioritized by risk. Key failures included missing patient identification, incorrect sample retrieval, missing labels, misdirected samples, and samples sent to the wrong lab. Discussion: Pre-analytical errors in pathology pose risks to diagnosis and patient care, with most errors occurring in this phase. A multidisciplinary team identified key issues, such as sample mislabeling and delays due to staff unavailability, and implemented corrective actions, including improved signage, staff re-training, and sample tracking systems. Monitoring and regular checks ensured ongoing adherence to protocols and reduced the risks of misidentification, transport delays, and procedural errors. Conclusions: The frozen section intra-operative consultation is vital in surgical pathology, with the pre-analytical phase posing significant risks due to potential errors in sample handling and labeling. Failure mode, effects, and criticality analysis has proven effective in identifying and prioritizing these failures, despite resource demands, by allowing corrective actions that enhance patient safety and healthcare quality. Full article

Stakeholders in multimodal freight transport encounter significant challenges due to the multitude of unknowns and inherent risks that can adversely affect operations. The subjective nature of the information complicates the identification and assessment of these risks, making them particularly challenging in the context of multimodal transport, where the potential consequences can be substantial. This research intends to provide a comprehensive understanding of the asymmetries in risks associated with multimodal freight transport by identifying and evaluating quantitative hazards. By integrating fuzzy set theory and failure mode and effects analysis (FMEA), the study offers a structured approach to statistically forecast risks, addressing imprecision in traditional risk assessments. Qualitative interviews conducted with multimodal freight transport operators in Thailand reveal critical insights, including the identification of high-priority risks such as delays from regulatory compliance, inadequate infrastructure, and inefficiencies in stakeholder communication. The findings of this study not only highlight these pressing issues but also provide actionable strategies to mitigate risks, thereby enhancing the operational resilience of multimodal freight transport systems. Full article

The health monitoring of vegetable and fruit plants, especially during the critical seedling growth stage, is essential to protect them from various environmental stresses and prevent yield loss. Different environmental stresses may cause similar symptoms, making visual inspection alone unreliable and potentially leading to an incorrect diagnosis and delayed corrective actions. This study aimed to address these challenges by proposing a segmented regression model and a Mask R-CNN model for detecting the initiation time and symptoms of nutrient stress in cucumber seedlings within a controlled environment. Nutrient stress was induced by applying two different treatments: an indicative nutrient deficiency with an electrical conductivity (EC) of 0 dSm⁻¹, and excess nutrients with a high-concentration nutrient solution and an EC of 6 dSm⁻¹. Images of the seedlings were collected using an automatic image acquisition system two weeks after germination. The early initiation of nutrient stress was detected using a segmented regression analysis, which analyzed morphological and textural features extracted from the images. For the Mask R-CNN model, 800 seedling images were annotated based on the segmented regression analysis results. Nutrient-stressed seedlings were identified from the initiation day to 4.2 days after treatment application. The Mask R-CNN model, implemented using ResNet-101 for feature extraction, leveraged transfer learning to train the network with a smaller dataset, thereby reducing the processing time. This study identifies the top projected canopy area (TPCA), energy, entropy, and homogeneity as prospective indicators of nutritional deficits in cucumber seedlings. The results from the Mask R-CNN model are promising, with the best-fit image achieving an F1 score of 93.4%, a precision of 93%, and a recall of 94%. These findings demonstrate the effectiveness of the integrated statistical and machine learning (ML) methods for the early and accurate diagnosis of nutrient stress. The use of segmented regression for initial detection, followed by the Mask R-CNN for precise identification, emphasizes the potential of this approach to enhance agricultural practices. By facilitating the early detection and accurate diagnosis of nutrient stress, this approach allows for quicker and more precise treatments, which improve crop health and productivity. Future research could expand this methodology to other crop types and field conditions to enhance image processing techniques, and researchers may also integrate real-time monitoring systems. Full article

Background: Inflammation plays a critical role in myocardial infarction as a critical process in the development of heart failure, involving the development of cardiac fibrosis. Colchicine is a well-established anti-inflammatory drug, but its scientific application in controlling post-acute myocardial infarction (AMI) inflammatory processes has not been established. IL-10 is a key cytokine in modulating inflammatory responses, underscoring its potential as a crucial therapeutic target of colchicine. The objective was to explore the protective role of IL-10 modulated by colchicine in myocardial healing and repair following AMI, particularly cardiac fibrosis. Methods: The predicted protein of colchicine was assessed using WAY2DRUG PASS as probability active value. Proteins associated with colchicine, cardiac fibrosis, and acute myocardial infarction were analyzed with DisGeNET and Open Target databases. Analysis and visualization of protein–protein interactions were conducted using STRING and Cytoscape. A 3T3 cell line treated with CoCl₂ was used to mimic hypoxic. HIF-1α and IL-10 expression were measured by flow cytometry and analyzed using a one-way ANOVA test. This observational clinical trial examined acute myocardial infarction patients undergoing immediate and delayed primary percutaneous coronary interventions. Subjects were randomized into control groups receiving placebo and intervention groups treated with colchicine. Assessments occurred at 24 h and five days after the intervention. IL-10 expression in the clinical trial was measured by ELISA and analyzed using a T-test. Results: Colchicine demonstrates promising bioactivity in treating acute myocardial infarction, with notably activity values highlighting its probable role as a tubulin antagonist (0.744), beta-tubulin antagonist (0.673), and NOS2 inhibitor (0.529). Its primary action targets IL-10, with the protein–protein interactions analysis indicating interactions between IL-10 and key inflammatory mediators—IL-1β, IFN-γ, CCL2, TNF, and TGF-β1—during acute myocardial infarction and cardiac fibrosis. Hypoxic conditions in the CoCl₂-induced 3T3 cell model show significantly elevated HIF-1α compared to controls (p < 0.0001). Colchicine use significantly increased IL-10 expression in CoCl₂-treated cells (p < 0.0001) and in AMI patients within five days (p < 0.05). Conclusions: Colchicine may bolster the anti-inflammatory response post-myocardial infarction by activating IL-10 pathways in fibroblasts and in clinical settings, potentially reducing inflammation after AMI. Further investigation into broader aspects of this pathway, particularly in cardiac fibroblasts, is required. Full article

Reducing waste production and improving waste treatment are key objectives in the EU’s Circular Economy Action Plan. Anaerobic digestion of food waste is a promising method, but safely disposing of its by-products, which contain valuable nutrients like nitrogen, phosphorus, and organic matter, remains a challenge. These nutrients suggest potential use in agriculture to enhance sustainability, yet their effects on plant growth need thorough understanding. This study investigated the impact of liquid digestates from anaerobic digestion of food waste, combined with fish sludge (from recirculated aquaculture systems), on plant growth (Lepidium sativum and Triticum aestivum) through direct soil tests. The content of biogenic elements in the digestates did not differ and was 0.32% for N, <0.05% for P, and 0.15% for K. Two tests were conducted, both using artificial soil prepared to OECD 207 standards: the Phytotoxkit™ test (ISO 18763:2016) and a pot experiment (OECD 208). Results showed that digestates initially delayed germination and hindered early plant growth, an effect that diminished over time. This may be due to the high organic matter content of digestates, similar to standard fertilizers like manure or compost. Pre-incubating digestates in soil before application, similar to common agricultural practices with soil amendments, is suggested as a potential solution. Full article

To address the local minimum issue commonly encountered in active collision avoidance using artificial potential field (APF), this paper presents a novel algorithm that integrates APF with deep reinforcement learning (DRL) for robotic arms. Firstly, to improve the training efficiency of DRL for the collision avoidance problem, Hindsight Experience Replay (HER) was enhanced by adjusting the positions of obstacles, resulting in Hindsight Experience Replay for Collision Avoidance (HER-CA). Subsequently, A robotic arm collision avoidance action network model was trained based on the Twin Delayed Deep Deterministic Policy Gradient (TD3) and HER-CA methods. Further, a full-body collision avoidance potential field model of the robotic arm was established based on the artificial potential field. Lastly, the trained action network model was used to guide APF in real-time collision avoidance planning. Comparative experiments between HER and HER-CA were conducted. The model trained with HER-CA improves the average success rate of the collision avoidance task by about 10% compared to the model trained with HER. And a collision avoidance simulation was conducted on the rock drilling robotic arm, confirming the effectiveness of the guided APF method. Full article

Efficient task offloading decision is a crucial technology in vehicular edge computing, which aims to fulfill the computational performance demands of complex vehicular tasks with respect to delay and energy consumption while minimizing network resource competition and consumption. Conventional distributed task offloading decisions rely solely on the local state of the vehicle, failing to optimize the utilization of the server’s resources to its fullest potential. In addition, the mobility aspect of vehicles is often neglected in these decisions. In this paper, a cloud-edge-vehicle three-tier vehicular edge computing (VEC) system is proposed, where vehicles partially offload their computing tasks to edge or cloud servers while keeping the remaining tasks local to the vehicle terminals. Under the restrictions of vehicle mobility and discrete variables, task scheduling and task offloading proportion are jointly optimized with the objective of minimizing the total system cost. Considering the non-convexity, high-dimensional complex state and continuous action space requirements of the optimization problem, we propose a task offloading decision-making algorithm based on deep deterministic policy gradient (TODM_DDPG). TODM_DDPG algorithm adopts the actor–critic framework in which the actor network outputs floating point numbers to represent deterministic policy, while the critic network evaluates the action output by the actor network, and adjusts the network evaluation policy according to the rewards with the environment to maximize the long-term reward. To explore the algorithm performance, this conduct parameter setting experiments to correct the algorithm core hyper-parameters and select the optimal combination of parameters. In addition, in order to verify algorithm performance, we also carry out a series of comparative experiments with baseline algorithms. The results demonstrate that in terms of reducing system costs, the proposed algorithm outperforms the compared baseline algorithm, such as the deep Q network (DQN) and the actor–critic (AC), and the performance is improved by about 13% on average. Full article

FAM20C (family with sequence similarity 20, member C) is a serine/threonine-specific protein kinase that is ubiquitously expressed and mainly associated with biomineralization and phosphatemia regulation. It is mostly known due to pathogenic variants causing its deficiency, which results in Raine syndrome (RNS), a sclerosing bone dysplasia with hypophosphatemia. The phenotype is recognized by the skeletal features, which are related to hypophosphorylation of different FAM20C bone-target proteins. However, FAM20C has many targets, including brain proteins and the cerebrospinal fluid phosphoproteome. Individuals with RNS can have developmental delay, intellectual disability, seizures, and structural brain defects, but little is known about FAM20C brain-target-protein dysregulation or about a potential pathogenesis associated with neurologic features. In order to identify the potential FAM20C actions on the brain, an in silico analysis was conducted. Structural and functional defects reported in RNS were described; FAM20C targets and interactors were identified, including their brain expression. Gene ontology of molecular processes, function, and components was completed for these targets, as well as for potential involved signaling pathways and diseases. The BioGRID and Human Protein Atlas databases, the Gorilla tool, and the PANTHER and DisGeNET databases were used. Results show that genes with high expression in the brain are involved in cholesterol and lipoprotein processes, plus axo-dendritic transport and the neuron part. These results could highlight some proteins involved in the neurologic pathogenesis of RNS. Full article

The existence of an intrinsic electrical platform responsible for the formation and transmission of impulses is essential, especially in cardiac tissue. However, most cardiac tissue made from biodegradable polymeric materials lacks conductive characteristics; this delays regional conduction, potentially causing arrhythmias. This study proposes a conductive polyethylene oxide (PEO)/silk fibroin (SF)-based material conjugated with conductive nanoparticles as a cardiac patch to fix any infarcted heart part. A new composite of PEO/15 wt%SF/0.2 wt%BaTiO₃ was prepared and characterized in vitro. The obtained patches were characterized by conventional Bragg-platinum-conductive action (XRD), FTIR spectroscopy, Raman spectra, and thermogravimetric analysis. A PiezoTester device was used to evaluate the piezoelectric properties. The produced samples of 500 μm thickness were assessed in tapping mode. The applied load was selected to be as low as possible, and the frequencies were adjusted to simulate the heartbeats, ranging from 10 to 100 Hz. The results showed that a maximum of around 1100 mV was obtained at a load of 20 N. A maximum of about 80 mV was received at an applied force of 1 N and a frequency of 100 Hz, which matches the electricity generated by the human heart. The cytotoxicity effect of prepared films was tested against AC16 cells using microculture tetrazolium assay (MTT). The pristine PEO cell viability either was not affected by adding SF or slightly decreased. However, the cell viability dramatically increased by adding BaTiO₃ to the PEO/SF composites. The confocal microscope images proved that the cells showed a spread morphology. The cells adhered to the PEO membranes and demonstrated a well-spread morphology. Overall, our study suggests that the PEO/SF/BaTiO₃ composite can be a promising cardiac patch material for repairing infarcted heart tissue, as it is conductive, has good mechanical properties, and is biocompatible. Full article