Search Results (648)

To overcome the seasonal constraints of explant availability and facilitate genetic improvement in Catalpa ovata, this study established a dual-pathway in vitro regeneration system (encompassing adventitious shoot organogenesis and somatic embryogenesis) using mature zygotic embryos. We systematically evaluated the synergistic effects of maternal genotypes, plant growth regulators (PGRs), basal media, and the histone deacetylase inhibitor Trichostatin A (TSA). Genotype screening revealed significant divergence in regenerative potential, with the half-sib family 32F17 exhibiting superior responsiveness (84.7% callus induction). A high cytokinin-to-auxin ratio (ZA3 medium) optimally drove direct shoot organogenesis. For adventitious shoot proliferation, the addition of TDZ significantly improved the multiplication coefficient (up to 2.99 on ZB4 medium), although a physiological trade-off with shoot elongation was observed. In parallel, the application of 10 µM TSA significantly enhanced somatic embryogenesis from embryogenic calli, effectively alleviating the inhibitory constraints of exogenous PGRs. For rhizogenesis, the DKW basal medium proved superior to half-strength MS, with the ZE3 treatment (0.1 mg·L⁻¹ NAA + 0.1 mg·L⁻¹ IBA) yielding the highest rooting frequency (69.6%) and robust root architecture. Notably, while somatic embryo conversion remained recalcitrant, plantlets derived exclusively from the adventitious shoot organogenesis pathway were successfully acclimatized ex vitro. These transplanted plantlets exhibited consistently high survival rates (83.1–84.4%) across all tested genotypes, effectively overcoming the initial genotype-dependent recalcitrance. Collectively, this optimized protocol provides a reliable technical platform for the large-scale clonal propagation and biotechnological breeding of C. ovata. Full article

Direct air capture (DAC) of CO₂ via temperature-swing adsorption (TSA) can support sustainable carbon dioxide removal, but only if sorbents regenerate with low energy demand and maintain performance under humid ambient air. In this paper, we evaluate three commercial molecular sieves (JLPM3, 13X, and 4A) in packed-bed tests using humid ambient air. We compared 40 g samples as received with 200 g samples conditioned for 12 days at 100 °C to emulate prolonged exposure to regeneration temperature (the cumulative effect of many heating/desorption cycles); all cycle-stabilized uptake values are reported from the conditioned materials. JLPM3 delivered the highest stabilized CO₂ uptake (0.24 ± 0.01 mmol·g⁻¹), consistent with a combined physisorption/chemisorption mechanism. Its higher total porosity (26.190%) and smaller mesopores (7.569 nm width) promoted rapid mass transfer and site accessibility, while slightly greater micropore area (710.285 m²·g⁻¹) and volume (0.267 cm³·g⁻¹) than 13X supported its marginally higher capacity. Evidence of partial structural degradation under mechanical and thermal stress indicates that minimizing strain during cycling will be important for scale-up and for reducing sorbent replacement. Conditioning at 100 °C activated additional chemisorption sites across all sieves but reduced physisorption capacity. Importantly, a ~100 °C desorption step fully regenerated physisorbed CO₂ while purging moisture from zeolite pores, indicating that low-temperature TSA (compatible with low-grade or waste heat) can replace harsher 300 °C regeneration and lower energy demand. CO₂–H₂O competition experiments confirmed substantial site occupancy by water vapor, which limits capture under humid conditions and motivates water management strategies. Overall, maximizing DAC performance requires tailoring pore structure and operating conditions while preserving sorbent integrity; JLPM3 emerges as a promising candidate for more energy- and resource-efficient DAC. Full article

Background/Objectives: Peroxiredoxins (Prxs) are key antioxidant enzymes involved in cellular redox homeostasis. Prx6 is a multifunctional member of the Prx family that has been reported in other organisms to possess glutathione peroxidase and phospholipase A₂ (PLA₂)-related activities. However, the structural and immunological roles of 1-Cys Prx6 in crustaceans remain poorly understood. This study aimed to identify and characterize a Prx6 gene from Penaeus vannamei (PvPrx6) and to evaluate its potential involvement in antioxidant defense. Methods: PvPrx6 cDNA was identified and analyzed using bioinformatics and AlphaFold2 modeling. Tissue distribution and transcriptional responses to lipopolysaccharide (LPS), poly(I:C), and peptidoglycan (PGN) were examined by RT-qPCR. Recombinant PvPrx6 (rPvPrx6) was expressed in Escherichia coli, and its antioxidant activity was evaluated in vitro using a metal-catalyzed oxidation (MCO) assay. Results: PvPrx6 encodes a 219-amino-acid protein containing conserved AhpC/TSA and 1-Cys Prx domains. Sequence comparison and 3D modeling revealed conserved peroxidase (Thr⁴¹, Cys⁴⁴, Arg¹²⁷) and residues (His²³, Lys²⁹, Asp¹³⁵) corresponding to the reported PLA₂-associated motif. Structural analysis suggested that Lys²⁹ occupies a position corresponding to the Ser³² residue of human Prx6, although this did not imply functional equivalence. PvPrx6 transcripts were highly expressed in the lymphoid organ and hepatopancreas and were significantly induced at 12 h following immune challenge. rPvPrx6 exhibited dose-dependent protection against hydroxyl radical-mediated DNA damage under the experimental conditions. Conclusions: Collectively, these findings suggest that PvPrx6 retains conserved structural characteristics of Prx6 proteins and may contribute to antioxidant defense in P. vannamei. However, further studies are required to validate its enzymatic activity and in vivo functional roles. Full article

In this paper, we propose a new synthesis method for LUT-based Moore finite state machines (FSMs) with twofold state assignment (TSA). The method introduces an additional core of partial input memory functions (IMFs), resulting in an architecture with two IMF cores. The first core is based on structural decomposition using additional partial state variables, whereas the second uses maximum binary state codes. Both cores are implemented as single-level circuits. We formulate the conditions under which the proposed method can be applied and show that it improves both the area and timing characteristics of the resulting FSM circuits. The method exploits pseudoequivalent state classes to reduce the number of literals in sum-of-products describing partial IMFs. The developed FSM architecture is organized into three logic stages. At the first stage, two dedicated blocks generate partial IMFs. At the next stage, these intermediate functions are merged and used to form the maximum binary state code. The final stage produces both the output signals and the partial state encoding. The proposed method is illustrated by a synthesis example and validated using standard benchmark FSMs. The obtained results indicate that the method is particularly suitable for larger and more complex Moore FSM implementations. Full article

Background: The emergence of alternative methods of obtaining groceries since the COVID-19 pandemic has raised new concerns regarding food safety. In this study, we sought to evaluate these concerns by evaluating how the procurement method of ground beef impacts the microbial load in the beef, as this has not been thoroughly studied. Methods: Specifically, we compared beef samples obtained from in-store shopping, grocery delivery, and meal kit delivery services to determine if these new, more convenient methods of grocery shopping impact the total microbial load or Escherichia coli present in the beef. We homogenized a total of 65 beef samples and plated dilutions on trypticase soy agar, MacConkey agar, and CHROMagar. Results: We found that in-store samples had the highest microbial load with an average of 5.06 log CFU/g, while grocery delivery samples resulted in an average of 4.76 log CFU/g and meal kit samples had an average of 4.23 log CFU/g when plated on TSA. This represents a 6.7-fold change between in-store samples and meal kit samples. These differences were not statistically significant (p = 0.1, ANOVA). When plated on MacConkey agar, in-store samples had a bacterial count at 3.0 log CFU/g, while grocery delivery samples had 2.99 log CFU/g and meal kit delivered samples had 3.05 log CFU/g. Suspected E. coli O157 colonies were detected using CHROMagar plates, as these plates function to change the coloration of positive E. coli O157 colonies to pink. Suspected E. coli O157 colonies were observed in three in-store samples, two grocery delivery samples, and one meal kit sample. After confirmatory agglutination testing, one meal kit sample was confirmed as E. coli O157. Conclusions: While trends suggest possible lower microbial contamination in delivery methods versus in-store shopping procurement, no statistical significance between methods was found. These findings indicate no significant changes in microbial loads in delivered ground beef, and the high variance suggests that all procurement methods still pose some level of risk. Full article

This paper proposes a novel integrated spectral kurtosis (ISK) technology, which is a new conceptualization for fault diagnosis, and compares it with conventional spectral kurtosis technology. The vibration signals from a gearbox are processed by time synchronous averaging (TSA) and analysed using the spectral kurtosis (SK). The ISK feature is estimated across the entire frequency domain, while the envelope is obtained through SK-based filtering and a Hilbert demodulation. The ISK technology demonstrates the ability to distinguish between healthy and defected gearbox cases, achieving a total probability of correct diagnosis (TPCD) of 91.5% for pinions and 96.1% for gears, whereas the SK-based squared envelope technology provides a limited diagnosis effectiveness, with a maximum TPCD of 80%. The motor current signals are also analysed through harmonic amplitude tracking within the current spectrum. A comparison of the ISK and motor current technologies is also made, showing that the motor current technology reaches a maximum of 90% TPCD for gears, which remains lower than the TPCD for the ISK technology. Full article

Background/Objectives: Worldwide, diabetes is a 21st century disease with continuously increasing prevalence. Current medications often have long-term adverse effects, which is why new substances are needed to help combat these disadvantages. Methods: In this respect, the present study develops a series of compounds with potential antidiabetic activity, including synthesis, physicochemical–spectral characterization and in vitro–in silico evaluation. Results: The sulfonamide derivatives were obtained by condensation reactions of para-toluenesulfonamide (p-TSA) with two different isocyanates, directly or after the condensation reaction with urea. The spectroscopic methods, IR, ¹H-NMR, ¹³C-NMR, were used for the structural elucidation of the compounds to confirm the presence of the functional groups responsible for the antihyperglycemic action, namely amide, azomethine and sulfonyl groups. Cytotoxicity screening on NCTC fibroblasts confirmed the excellent safety profile of the most synthesized derivatives across the tested range (100–1500 μg/mL). In contrast, the p-TSA-c-d derivative showed a clear transition from a biocompatible profile at 100 μg/mL to a more cytotoxic phenotype at concentrations exceeding 750–1500 μg/mL. The synthesized derivatives, particularly p-TSA-c-d, exhibited remarkable antidiabetic potential by effectively inhibiting α-amylase and α-glucosidase, with IC₅₀ values as low as 46.54 μM, outperforming the standard reference acarbose. The molecular docking tests revealed different mechanisms for the inhibitory activity exerted by the p-TSA derivatives on the two targeted enzymes. Conclusions: Although these developed compounds can be considered promising antidiabetic agents, studies can be further deepened in the future by performing in vivo tests. Full article

Flexible electrode materials with tailored electrical and mechanical properties are essential for reliable electrocardiographic (ECG) sensing. In this work, p-toluenesulfonic-acid-doped polypyrrole (PPy–TSA) films were modified using polymeric and inorganic fillers, as well as their combinations (polyethylene glycol, graphene, carbon nanotubes, and zeolite), to tune their functional performance. The reference PPy–TSA film exhibits typical morphological and chemical characteristics of doped polypyrrole and serves as a reliable baseline for comparison. All composite films retain electrical conductivity within the range required for ECG applications while showing improved mechanical compliance (i.e., enhanced ability to conform to the skin and sustain deformation). Based on the optimized balance between electrical and mechanical properties, flexible ECG electrodes were fabricated using the TSA-doped PPy-based composite film. ECG recordings obtained with the several proposed electrodes show good agreement with those acquired using a commercial ECG electrode, demonstrating the potential of PPy-based composite films for flexible bioelectronic sensing applications. Full article

Against the backdrop of ongoing climate change, the Qinghai–Tibet Plateau, a region highly sensitive to climatic variation, exhibits intricate spatiotemporal patterns in reference crop evapotranspiration (ET_O), with significant implications for regional water-resource planning. This study selected four agro-climatic zones across the plateau region (TSA, TSH, TAZ, and WCH). Long-term daily observations from 28 meteorological stations were used to estimate ET_O via the FAO 56 Penman–Monteith equation. This extensive dataset enabled robust trend analysis using the Mann–Kendall test, alongside a cloud-model framework, and analyses of sensitivity and contributions to evaluate ET_O’s spatiotemporal evolution, its distributional uncertainty, and the underlying drivers. Results reveal pronounced regional heterogeneity in the interannual variability of ET_O. Annual ET_O declined in TSH and TSA (trend rates of −1.12 and −6.58 mm·10a⁻¹, respectively) and increased in TAZ and WCH (15.76 and 10.74 mm·10a⁻¹, respectively). At monthly and seasonal timescales, ET_O exhibited an unimodal pattern, with the greatest stability in winter and spring and lower stability in summer and autumn. The cloud-model parameter He indicates that ET_O stability is greatest in TSH and weakest in WCH, with He values of 7.15 and 12.29 mm, respectively. Contribution-rate analyses identify T_max and T_mean as the principal determinants of rising ET_O across all study zones, reflecting the largest individual contributions. Temperature-related factors together account for the majority of ET_O variability across the regions, with their absolute contributions ranging from 5.61% to 8.63%, well above those of aerodynamic factors (0.62–1.78%). Stability assessments indicate that ET_O is generally more unstable than its meteorological drivers, with substantial regional disparities, implying that ET_O evolution cannot be explained by a single controlling factor. Overall, the study characterizes the uncertainty in ET_O variations under complex terrain, highlights the value of the cloud model for refined hydrological assessments, and provides a scientific basis for adaptive agricultural water-resource management in the region. Full article

The large-scale integration of renewable energy sources and power-electronic-interfaced devices has significantly weakened transient support capability and disturbance tolerance, posing new challenges to the secure and stable operation of modern power systems. Conventional stability analysis methods suffer from high computational burden, long execution time, and limited adaptability to diverse operating scenarios. The rapid development of artificial intelligence (AI) provides effective technical support for fast and accurate assessment of power-system security and stability. This paper presents a comprehensive review of AI-based methods and the interpretability for transient stability assessment (TSA) in modern power systems. First, an intelligent TSA framework is introduced, consisting of three key stages: sample construction and enhancement, intelligent algorithms and learning mechanisms, and model training and interpretability. Subsequently, existing methods for data augmentation, intelligent algorithms, learning mechanisms, and interpretability analysis are systematically reviewed, and the corresponding application scene, technical superiority and limitations are discussed. Finally, from a knowledge–data fusion perspective, four representative integration paradigms combining mechanism-based models and data-driven approaches are summarized, and the application prospects in power-system stability analysis are discussed. Full article

The paper presents results of a degradation analysis of polyamide 12 reinforced with carbon fibers used for additive manufacturing of cycloidal gear. Both FEM simulation and a fatigue test indicated the ability of the material to withstand loads during the work of cycloidal transmission. However, a run-to-failure (RTF) test revealed critical failure after 10⁵ cycles, with displacement and damage of the material in the area close to bearing instead of expected areas of teeth being in friction with pins. Acceleration analysis with time synchronous averaging (TSA) confirmed rapid degradation of the material’s strength at the end of the RTF test. It was found that the PA12 cycloidal gear damage was a result of fatigue accelerated by the temperature increase under the cyclic loads that took place during the RTF test. In particular, displacement of 0.2 mm did not appear in the specimens tested at 27 °C even after 10⁵ cycles, while at 140 °C this value was reached almost immediately. At 70 °C and 90 °C, plastic deformation of 0.2 mm was reached after 30,000 and 5000 cycles, respectively. The finding can be used in a predictive maintenance system of such cycloidal transmission with 3D-printed polymer gears. Full article

Scrub typhus, caused by the obligate intracellular bacterium Orientia tsutsugamushi (O. tsutsugamushi), remains a major public-health concern in the Asia–Pacific region. Genome-wide inference is complicated by extensive repetitive DNA and frequent genome rearrangement. We isolated O. tsutsugamushi HMU_001 from a scrub typhus patient on Hainan Island, China. Intracellular morphology was examined and replication was quantified in endothelial cells. Using long-read sequencing with short-read polishing, we generated a closed circular genome and performed standardized comparative analyses across all available complete O. tsutsugamushi genomes. HMU_001 assembled as a 1,895,724 bp genome and, among the 17 complete genomes analyzed in this study, represented the most compact genome. Repeats comprised 873,550 bp (46.08%) and included 72 RAGE loci (4 relatively complete) and 283 insertion sequences (54 intact). Repeat content varied widely and largely explained genome size differences. A core-gene phylogeny resolved four clades with partial geographic structure, while tsa56 genotypes were only partly congruent with it. Genome synteny was generally limited across strains but markedly higher among the closest relatives, consistent with ongoing rearrangement. HMU_001 expands representation of complete O. tsutsugamushi genomes by adding a TA763_A lineage strain from a high-incidence island setting. Comparative analyses support a model in which repeat proliferation and decay drive genome evolution and structural remodeling. Full article

To address the contradiction between high flexibility and low stiffness in continuum robots, as well as the problems of complex structure, slow response, and narrow stiffness adjustment range in existing variable stiffness methods, this paper proposes a variable stiffness approach based on Twisted Multi-String Actuators (hereinafter referred to as TSA) for bionic spine-like continuum robots. Firstly, a bionic spine-like configuration was designed to support the force-locking variable stiffness mechanism. Secondly, the proposed TSA-based variable stiffness method was analyzed theoretically from the perspectives of geometric relationships and stiffness characteristics, laying a foundation for establishing other mathematical models such as that of string-twisting behavior. Finally, an experimental prototype was fabricated and subjected to flexibility tests. Furthermore, TSA variable stiffness experiments were conducted under two-strand, three-strand, and four-strand configurations to investigate the retraction and stiffness performance under different torsion turns and external loads. The results demonstrate that the stiffness of the robot is effectively enhanced by the TSA method, and increasing the number of string strands raises the failure load of the robot. Characteristic curves confirm that the proposed design and model exhibit superior performance to the traditional single-cable force-locking scheme. The design features a simple structure, fast response, and wide stiffness adjustment range, which provides a valuable reference for the stiffness modulation research of continuum robots. Full article

Background/Objectives: Hydrogels infused with silver nanoparticles (AgNPs) are widely used for their antibacterial properties, yet their stability, specifically upon contact with solid growth media (agar), remains poorly explored. This study compared two hydrogel matrices, anionic Carbopol 934 and non-ionic Pluronic F127, incorporating AgNPs of three different sizes. The evaluation focused on colloidal stability and antibacterial efficacy against Gram-positive and Gram-negative bacteria. Methods: In this study AgNPs (~20, ~55, and ~65 nm) were synthesised via a wet-chemical method and characterised by UV–visible spectroscopy, dynamic light scattering (DLS), and transmission electron microscopy (TEM). AgNPs were incorporated into Carbopol 934 and Pluronic F127 hydrogel matrices. Colloidal stability was monitored over four months of storage and upon contact with tryptic soy agar (TSA). Antibacterial activity was assessed using agar diffusion assays. Results: Showed that both hydrogel systems maintained AgNP stability during storage, comparable to aqueous suspensions. However, upon contact with TSA, aggregation of Carbopol–AgNP hydrogels occurred, whereas Pluronic–AgNP hydrogels remained stable. In antibacterial assays, both hydrogels produced larger zones of inhibition (ZOI) than AgNP suspensions against Gram-negative bacteria (E. coli, P. aeruginosa), with Carbopol–AgNP hydrogels demonstrating superior efficacy in an inverse size-dependent manner. Against Gram-positive bacteria (S. aureus, S. epidermidis), Pluronic–AgNP hydrogels initially showed larger ZOIs due to the polymer’s intrinsic antibacterial activity. However, after correcting for this baseline, Carbopol–AgNP hydrogels exhibited superior net efficacy, with S. epidermidis showing greater susceptibility than S. aureus. Conclusions: While both Carbopol 934 and Pluronic F127 stabilise AgNPs during storage, the matrix type significantly influences behaviour at the biological interface. Carbopol–AgNP hydrogels aggregate upon contact with solid agar yet deliver superior, size-dependent antibacterial activity compared to the stable but less potent Pluronic systems. Full article

Industrial surface defect detection is crucial for quality control in manufacturing, yet remains challenging due to the small scale, low contrast, and texture variability of defects. While YOLOv8n offers high inference speed and efficiency, its accuracy is limited by insufficient feature representation and inadequate data diversity. This paper proposes a detection framework integrating Channel–Spatial Modulation Attention (CASM) and Small-Scale Grid Texture Shuffling Augmentation (SG-TSA) into YOLOv8n to improve detection performance without sacrificing efficiency. CASM introduces a parallel channel–spatial attention structure with adaptive fusion to better capture fine-grained defect features, while SG-TSA increases sample diversity by introducing realistic texture perturbations within defect regions. Experiments on the NEU-DET dataset show that our method improves mAP@0.5:0.95 by 3.01% and mAP@0.5 by 2.84% over baseline YOLOv8n. These results highlight the importance of architecture-specific optimization for lightweight detectors in industrial scenarios. Full article