Search Results (328)

In intensive farming, contactless individual pig identification is crucial for precision feeding and health monitoring. However, real-world barn conditions—such as fluctuating illumination, severe occlusions, non-rigid poses, and high inter-individual similarity—pose significant challenges. Existing models struggle to balance high accuracy with lightweight deployment. To address this, we propose YOLO-ESO, an optimized detection framework based on YOLOv10n. YOLO-ESO introduces three core innovations: (1) integrating the C2f_ODConv module into the backbone to strengthen feature learning under complex poses via dynamic convolution; (2) redesigning the neck with a Semantics and Detail Infusion (SDI) module to improve multi-scale fusion while suppressing background noise; and (3) embedding an Efficient Multi-Scale Attention (EMA) mechanism before the detection head to capture fine-grained identity cues like texture and contours. Evaluated on a real-world pig dataset, YOLO-ESO achieves an mAP@0.5 of 96.6%, an mAP@0.5:0.95 of 71.1%, and an F1 of 92.0%. YOLO-ESO surpasses state-of-the-art detectors including YOLOv8, YOLOv11, and RT-DETR, while introducing only 8.7 GFLOPs and 3.48 million parameters. Overall, the proposed YOLO-ESO provides an accurate and lightweight solution for robust individual pig identification in complex farming environments, showing strong potential for practical deployment in precision livestock farming. Full article

This commentary critically evaluates the translational relevance of a recent study investigating the effects of ozonated saline solution (O₃SS) on microglial and endothelial cell models. While the original research proposes potential antioxidant and anti-inflammatory benefits of low-dose ozone exposure, we identify significant methodological and conceptual flaws that undermine its conclusions. Key concerns include the unjustified assumption that ozone behaves similarly in microwell cultures and clinical infusion settings, despite known physicochemical differences affecting ozone stability and reactivity. The use of immortalized BV2 and HUVEC cells, which lack the complexity of in vivo systems, further limits the study’s applicability. The absence of accurate ozone quantification, proper controls, protein-level validation, and kinetic modeling exacerbates these weaknesses. Our analysis also demonstrates, through differential equation modeling, that ozone rapidly decays in saline solutions, making systemic delivery via infusion chemically implausible as a therapeutic approach. Moreover, the extrapolation of in vitro gene expression data to systemic therapeutic claims lacks scientific justification. We conclude that while the observed cellular responses in vitro are of academic interest, they do not support the efficacy or safety of O₃SS in clinical settings. A more rigorous approach is necessary to substantiate the biomedical potential of ozonated solutions. Full article

This research addresses the urgent need to reduce carbon emissions in the footwear manufacturing industry by utilizing digital twin technology with project management frameworks. It focuses on identifying critical emission sources across the entire life cycle of shoe production from (i) material sourcing, (ii) manufacturing, and (iii) transportation, to (iv) end-of-life disposal. By data collection, infusing project management, and integrating digital twin approaches, the study offers a dynamic, data-driven method to simulate, monitor, and optimize carbon reduction strategies in real time. An extensive literature review and industry data analysis informs the assessment of carbon emissions and energy consumption patterns. Based on these insights, a tailored project management approach is followed to analyze the feasibility of the footwear sector to adopt sustainable practices such as renewable energy adoption, eco-friendly material sourcing, and closed-loop production systems. Validation was conducted using plant simulation software to model emissions scenarios and evaluate the effectiveness of proposed interventions. Case studies from leading brands, including Nike, Adidas, and Puma, were examined for Scope 1, 2 and 3, to extract the best practices and strategic insights. The research underscores the importance of combining digital tools with sustainability goals to create an environmentally conscious manufacturing ecosystem, highlights the role of policymakers in incentivizing green practices, and emphasizes collaborative industry efforts to accelerate change. The paper concludes by highlighting that digital twin systems provide effective, scalable solutions for reducing carbon emissions in footwear manufacturing. Full article

PDMS SlipChips are vital for precision medicine, but their performance often degrades when solutions leak or air pockets become trapped between layers. These failures stem from the inherent stickiness of PDMS and uneven surface contact, as the sliding nature of the device prevents permanent sealing. This work addresses these technical hurdles by integrating magnetic clamping with oil-infused lubrication and refined microwell geometries. A 3D-printed magnetic fixture maintains steady contact pressure during operation, while custom-made microstages provide the precise control needed to align microwells across the x–y plane. By allowing the porous PDMS to absorb silicone oil, we created a stable lubricating interface that prevents leakage and reduces friction without sacrificing mobility. We found that a microwell-to-channel width ratio of five substantially suppresses bubble formation compared with narrower designs. These enhancements ensure the generation of consistent, discrete concentration gradients and establish a reliable platform for high-throughput assays using minute sample volumes. Full article

The purpose of this work is to investigate the binding state of inorganic elements to flavonoid components in aqueous extract of Silybum marianum (SM) seeds, as well as the antioxidant activity of the extract. This study employed reversed-phase high-performance liquid chromatography (RP-HPLC) to separate silymarin flavonoids in boiling water decoction of SM seeds, and collected the post-column effluent in the segments according to the retention time of seven main silymarin flavonoid components. Inductively coupled plasma mass spectrometry (ICP-MS) was subsequently utilized to quantify nine inorganic elements (As, Cd, Co, Cr, Cu, Fe, Mn, Mo, Zn) in the collected HPLC fractions of the decoction. Meanwhile, electron paramagnetic resonance spectroscopy (EPR) was employed to assess the free radical scavenging activity of aqueous extract of SM seeds, using the signal intensity changes of 2,2-diphenyl-1-picrylhydrazyl (DPPH) and DMPO-OH• adducts as quantitative metrics. The results showed that essential trace elements (Cu, Fe, Mn, Zn) mainly existed as inorganic ions or strong polar forms in the tea-like infusion, with weak binding to flavonoid compounds. On the other hand, the aqueous extract exhibited significant •OH scavenging capacity, with a scavenging rate of 95% against •OH generated by continuous 5 min ultraviolet irradiation of H₂O₂ aqueous solution. This study provides experimental evidence for the development of SM as a food–medicine dual-purpose resource, proposing that consumption of SM seed tea represents a facile and effective approach to supplement trace elements and intake silymarin for enhancing endogenous antioxidant defense. Full article

Sustainable pavement solutions that lessen the dependency on virgin materials are required due to mounting environmental and economic pressures. Although recycled asphalt concrete (RAC) has structural and environmental advantages, binder heterogeneity and non-linear material interactions make it difficult to predict the ideal bitumen content in RAC mixtures. This study predicts the bitumen content of asphalt mixtures infused with RAC by combining sophisticated machine learning (ML) with traditional laboratory testing. While this study combines AI-driven predictions with experimental insights to create a state-of-the-art framework for sustainable pavement engineering, 780 data points were obtained from the preparation and testing of three mixtures (0%, 30%, and 50% RAC) for volumetric and mechanical characteristics. Controlled Autoregressive Integrated Moving Average (CARIMA), Swapped Autoregressive Integrated Moving Average (SARIMA), radial basis function artificial neural network (RBF), bagging (BAG), multilayer perceptron (MLP) artificial neural network, and boosting (BOT) ensembles were among the models created. BAG-CARIMA-LGM is a new hybrid model that combines logistic probabilistic generalization, ensemble variance reduction, and time-series forecasting. Higher predictive accuracy and resilience across different RAC levels were attained by the hybrid BAG-CARIMA-LGM model, which performed noticeably better than standalone algorithms. The findings demonstrated improved Marshall stability and controlled flow along with a progressive decrease in mean bitumen content as RAC increased. While 50% RAC with rejuvenators maintained durability and structural integrity, the 30% RAC mixture produced the most balanced performance. The model’s capacity to manage non-linear interactions, volumetric variability, and aging effects was validated by statistical analyses. The BAG-CARIMA-LGM hybrid model optimizes RAC incorporation in asphalt mixtures, supports circular economy goals, and improves technical accuracy. The results point to a revolutionary route towards intelligent, environmentally friendly road systems that support international sustainability objectives. Full article

Infectious endometritis is a primary cause of subfertility in mares. Many manuals and guidelines are available for administering intrauterine infusions of antibiotics and biofilm-disrupting solutions, detailing concentrations, vehicle solutions, and buffers. However, the stability of these combinations has not been documented. Therefore, our study investigated how factors such as storage temperature, concentration, buffer types, combinations of biofilm disruptors, and vehicle solutions affected pH stability over 24 h in uterine infusion preparations commonly used by veterinary theriogenologists to treat endometritis in mares. In experiment 1, amikacin, ampicillin, ceftiofur, ciprofloxacin, gentamicin, penicillin G potassium, penicillin G procaine, and ticarcillin clavulanate were diluted in saline and lactated Ringer’ s solution and stored at 5 ° C, 21 ° C, and 37 ° C for 24 h. Solutions were evaluated for pH and physical characteristics at 0, 1, 3, 6, and 24 h after storage. In experiment 2, 1- and 2-g doses of amikacin, ampicillin, and gentamicin were compared, evaluating the same volume at different concentrations and their stability over 24 h. Experiment 3 combined biofilm chelators (i.e., Tris-EDTA, hydrogen peroxide, and dimethyl sulfoxide) with antibiotic solutions and evaluated interactions among products. Experiment 4 compared the stability of each antibiotic diluted in saline and lactated Ringer’ s solution. Statistical analysis was performed using GraphPad Prism 9.3.0. Significance was set at p < 0.05. The results indicated that the stability of antibiotic solutions for uterine infusions in mares is significantly influenced by storage conditions and pH fluctuations. Solutions containing aminoglycosides showed an increase in pH over time, suggesting that buffering agents like sodium bicarbonate can enhance stability. In contrast, other antibiotics exhibited a decrease in pH, particularly at elevated temperatures, which may reduce their effectiveness. In conclusion, the pH stability of uterine infusions is affected by various storage conditions and vehicles, underscoring the importance of evaluating antibiotic treatments for quality control. While pH changes were observed, the potential impact on the overall stability or antimicrobial activity of the solutions requires further investigation. Full article

Background: Cefepime/enmetazobactam (FEP/META) is a novel fixed-dose β-lactam/β-lactamase inhibitor combination. The objective was to study the physicochemical stability of the approved daily dose in polypropylene syringes and elastomeric devices over a 24 or 72 h period to understand the feasibility of using FEP/META in prolonged infusions and its use for outpatient parenteral antibiotic therapy (OPAT). Methods: Solutions of FEP/META were prepared in 0.9% NaCl or 5% dextrose (D5W) and stored in syringes (6 g/1.5 g/48 mL) or silicone and polyisoprene elastomeric devices (EDs) at 6 g/1.5 g/120 mL and 6 g/1.5 g/240 mL: syringes were tested at 22–25 °C over a 24 h period, polyisoprene EDs at 2–8 °C over 72 h period, and silicone and polyisoprene EDs at 32 °C over a 24 h period. The solution was considered stable if it retained more than 90% of its initial concentration (Ci), no pH variation (±1 unit), no significant visual change, and with compliant subvisual examination. Liquid Chromatography–Electrospray Ionization–Quadrupole Time-of-Flight–Mass Spectrometry was utilized to identify intermediate degradation products. Results: At the daily dose, FEP/META retained >90% of its Ci up to 12 h in 0.9% NaCl and 24 h in D5W when stored in syringes. In silicone ED, stability was enhanced up to 24 h in D5W at all concentrations. The solution was chemically stable for 24 h when stored in polyisoprene ED in 0.9% NaCl at 2–8 °C. Conclusions: FEP/META combination showed prolonged stability with physicochemical integrity up to 12–24 h in all containers and conditions. It appears to be stable for prolonged infusions and for OPAT. Full article

Evaluating the activity of indoleamine 2,3-dioxygenase (IDO), the rate-limiting enzyme in tryptophan (Trp) metabolism, is important because IDO is involved in immune tolerance and drives the production of Trp metabolites implicated in psychiatric disorders and cancer. This study aimed to design and develop a novel fluorescent l-Trp derivative to fluorometrically monitor Trp-catabolizing enzyme activity via IDO. To evaluate IDO activity in vivo, 7-N,N-dimethylamino-2,1,3-benzoxadiazole (DBD), a fluorophore, was covalently bound at the 5-position of the indole ring in Trp to produce 5-DBD-l-Trp. An in vivo microdialysis (MD) study was conducted using the kidneys of Sprague–Dawley rats. Specifically, 5.0 μM 5-DBD-l-Trp in phosphate-buffered Ringer’s solution was infused into the rats, and the MD sample was analyzed via high-performance liquid chromatography with fluorescence detection. In the MD sample, two fluorescence peaks other than 5-DBD-l-Trp were observed during the 5-DBD-l-Trp infusion, and the main metabolite peak was proposed to be 5-DBD-kynurenine, verified by liquid chromatography-tandem mass spectrometry. The intensity of the fluorescent peak was significantly attenuated by co-infusion with an IDO inhibitor, 1-methyl-d-Trp. These results suggest that 5-DBD-l-Trp may be metabolized by renal IDO and can be used to evaluate IDO activity in vivo. Full article

Faced with the depletion of fossil resources and the need to promote a circular economy, lignocellulosic biomass represents a solution for energy transition and bioeconomy. However, wood sawdust, which contains bioactive compounds (secondary metabolites), is often burned in the open by many sawmills. This study aims to valorize Framiré wood sawdust by extracting its secondary metabolites through maceration and infusion, then converting the depleted residue into combustible briquettes. The yellowness index of the extracts ranged from 73.490 ± 0.021 (maceration) to 81.720 ± 0.014 (infusion). The total phenolic content varied from 0.097 ± 0.001 to 0.63 ± 0.049 gGAE/100 g dry matter for maceration and infusion, respectively. The extraction of bioactive compounds did not significantly affect the energy or mechanical properties of the fuels. Their higher heating value ranged from 26,153 ± 92 to 26,201 ± 90 kJ/kg for fuels with and without secondary metabolites, respectively. The Shock Resistance Index ranged from 139.33 ± 7.51% (without metabolites) to 153.00 ± 5.20% (with metabolites). A significant difference was observed in the specific consumption of the fuels, decreasing from 1.400 ± 0.100 to 0.861 ± 0.001 kg/L for fuels without and with secondary metabolites, respectively. These results open promising prospects, particularly for the use of Framiré extracts to develop flame-retardant products for wood and its derivatives. Full article

Adhesive joint failure remains a critical limitation in the manufacturing of large wind turbine blades, where reliable and reproducible surface preparation methods are required at an industrial scale. This study systematically evaluates the effect of peel ply-induced surface morphology and chemistry on the adhesion performance of glass fiber-reinforced polymer (GFRP) laminates, explicitly examining the relationship between wettability and bonding strength. Five surface conditions were generated during vacuum-assisted resin infusion using different commercial and proprietary peel plies and a smooth mold surface. Despite significant differences in contact angle and surface energy, lap shear testing revealed no significant relationship between wettability and joint strength. Instead, surface roughness-driven mechanical interlocking and adhesive–substrate compatibility dominated performance. Compared to the smooth mold surface, twill-type peel ply–modified adherends increased shear strength by up to 3.9×, while other commercial types of peel-plies presented strength improvements between 2.7 and 3.3×. More compatible adhesive–polymer resin systems exhibited a combination of cohesive and adhesive failures, with no clear dependence on surface roughness. In contrast, when the adhesive is less compatible with the substrate, surface roughness significantly affects the adhesive response, with adhesive failure predominating. The adhesive application temperature showed no measurable effect for practical industrial use. These findings demonstrate that wettability alone is not a reliable predictor of adhesion performance for this class of substrates and confirm peel ply surface modification as a robust, scalable solution for industrial wind blade bonding. Full article

Developing effective CAR-T cell therapy for solid tumours remains challenging because of biological barriers such as antigen escape and an immunosuppressive microenvironment. The aim of this study is to develop a mathematical model of the spatio-temporal dynamics of tumour processes in order to assess key factors that limit treatment efficacy. We propose a reaction–diffusion model described by a system of partial differential equations for the densities of tumour cells and CAR-T cells, the concentration of immune inhibitors, and the degree of antigen escape. The methods of investigation include stability analysis and numerical solution of the model using a finite-difference scheme. The simulations show that antigen escape produces a resistant tumour core and relapse after an initial regression; increasing the escape rate from $\gamma =0.001$ to $0.1$ increases the final tumour volume at $t=100$ days from approximately 35.3 a.u. to 36.2 a.u. Parameter mapping further indicates that for $\gamma \le 0.01$ tumour control can be achieved at moderate killing rates ($k_{CT}\approx 1{\mathrm{day}}^{-1}$), whereas for $\gamma \ge 0.05$ comparable control requires $k_{CT}\approx 2$–$5{\mathrm{day}}^{-1}$. Repeated CAR-T administration improves durability: the residual normalised tumour volume at $t=100$ days decreases from approximately 4.5 after a single infusion to approximately 0.9 (double) and approximately 0.5 (triple), with a saturating benefit for further intensification. We conclude that the proposed model is a valuable tool for analysing and optimising CAR-T therapy protocols, and that our results highlight the need for combined strategies aimed at overcoming antigen escape. Full article

Advanced cell-based therapies, including immunotherapy, regenerative medicine, and other biotechnological applications, require large quantities of viable mammalian cells for research and clinical use. Conventional enzymatic harvesting methods, such as trypsini-zation, can compromise cell integrity and reduce viability. This study investigates an al-ternative temperature-responsive approach using alginate beads incorporated with poly(N-isopropylacrylamide) (PNIPAAm), a polymer exhibiting a lower critical solution temperature (LCST) of approximately 32 °C. This system enables temperature-controlled cell detachment while preserving cellular structure and extracellular matrix components, thereby potentially improving post-harvest viability compared to trypsin treatment. Ho-mogeneous alginate hydrogel beads were synthesized using a standard infusion pump and ionically crosslinked with calcium cations. The beads were characterized by scanning electron microscopy (SEM) for morphology and by Fourier-transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC), and micro-computed tomography (µ-CT) for compositional and thermal analysis. Mouse fibroblast cells (L929 cell line) were cultured on the beads, and their proliferation and viability were assessed using CCK-8 and Live/Dead assays, demonstrating significant cell growth over seven days. The results suggest that PNIPAAm-modified alginate beads provide a promising, enzyme-free platform for efficient mammalian cell harvesting and delivery, with potential applications across advanced cell manufacturing and therapeutic technologies. Full article

Although younger generations are not always given a prominent role in ethnobotanical surveys, studying intergenerational knowledge transfer should still be a primary interest, in the context of traditions’ erosion, globalization, disinterest and plant blindness. Our study was designed to describe the situation of knowledge transfer and to find potential solutions to counteract erosion by involving the children. This ethnobotanical survey involved students from primary and secondary schools of Valle Imagna (Bergamo, Italy) through different meetings and structured questionnaires to record their traditional knowledge on medicinal plants. The children were then asked to become an active part of the project by interviewing their families. All data recorded were archived in a database for statistical analysis. Students (number = 112) reported 41 plant species, with 36% reporting at least 3 species each. Forty percent of their use reports were related to exotic species or purchased plant material. The most reported species were Matricaria chamomilla L. and Camellia sinensis (L.) Kuntze with common preparations such as infusions from commercial products. Parents (n = 96) reported 76 species and grandparents (n = 35) 52. Statistical analysis showed correlation between traditional knowledge and age/gender, with older generations and female gender correlated to deeper knowledge. Our results suggest deep erosion and a clear lack of intergenerational knowledge transfer. However, our project serves as evidence of the concrete role ethnobotany holds in safeguarding the remaining cultural heritage of a territory, fostering preservation from the outset with the participation of younger generations. Full article

Background/Objectives: Although patients with breast cancer often undergo multiple oncologic procedures after primary tumor resection, an optimal postoperative analgesic strategy remains undefined. We evaluated the efficacy of acetaminophen/ibuprofen as an adjunct to opioid-based patient-controlled analgesia (PCA) following oncoplastic breast surgery. Methods: In this double-blind randomized controlled trial, 79 patients were assigned to receive either acetaminophen/ibuprofen or saline. A 100 mL solution containing 1000 mg acetaminophen and 300 mg ibuprofen was administered at the end of surgery, and 200 mL was incorporated into a fentanyl-based PCA for infusion over 48 h. The control group received an equivalent volume of saline. The primary outcome was pain intensity at 1 h postoperatively, assessed using an 11-point numerical rating scale. Secondary outcomes included pain scores at 6, 24, and 48 h, cumulative fentanyl consumption via PCA, additional analgesic use, and adverse effects. Results: Pain scores at 1 h postoperatively were significantly lower in the intervention group than in the control group (median [IQR], 2 [2, 2] vs. 2 [2, 3], p = 0.040). Cumulative fentanyl volume administered via PCA was lower in the intervention group at 24 h (252.4 [186.7, 289.9] mcg vs. 299.7 [208.3, 366.6] mcg, p < 0.001) and 48 h (482.4 [283.2, 548.0] mcg vs. 537.0 [390.9, 586.0] mcg, p = 0.001). Fewer patients in the intervention group required rescue analgesics during the first 6 h (22 [56.4%] vs. 32 [80.0%], p = 0.024). Pain scores and rescue analgesic use thereafter did not differ between groups. Conclusions: Adjunctive acetaminophen/ibuprofen with opioid-based PCA reduced early postoperative pain, opioid consumption, and rescue analgesia without increasing adverse effects. Full article