Search Results (51,403)

Background/Objectives: Severe and recurrent infections due to multidrug-resistant (MDR) Pseudomonas aeruginosa necessitate alternative antimicrobial strategies. Fermented cacao beans represent a niche microbial ecosystem with the potential to harbor beneficial lactic acid bacteria (LAB). This study aimed to isolate and characterize LAB strains from fermented cacao beans in southern Thailand and to evaluate their probiotic potential and antimicrobial activity against MDR P. aeruginosa. Methods and Results: Five Lactiplantibacillus plantarum isolates were identified via MALDI-TOF MS and whole-genome sequencing (WGS). All strains demonstrated antimicrobial activity against 17 clinical MDR P. aeruginosa isolates and CR14 exhibited the largest inhibition zone. The isolates displayed robust probiotic traits, including survival under simulated gastrointestinal conditions. Acid tolerance (pH 2.0) reached 61.15 ± 7.75%, while resistance to pepsin, pancreatin, and bile salts exceeded 88%, 91%, and 92%, respectively. Strong adhesion was confirmed via auto-aggregation (55.02 ± 1.75%), hydrophobicity (45.58 ± 0.96%) and Caco-2 cell attachment (up to 98.11 ± 3.28%). WGS revealed multiple plantaricin-encoding clusters. Coarse-grained molecular dynamic simulations showed that two-peptide plantaricins (plnJ/K and plnNC8-αβ) self-assembled and formed stable pores in bacterial membrane models, confirming a pore-forming antimicrobial mechanism. The strains lacked acquired resistance genes and virulence factors, confirmed by in silico safety assessments. Conclusions: Thus, these L. plantarum strains are promising probiotics for managing MDR P. aeruginosa via functional foods or adjunct therapies. Full article

Artificial intelligence (AI) algorithms enhance distributed acoustic sensing (DAS) signal interpretation by leveraging large-scale acoustic data. However, heterogeneous deployment environments hinder model generalization ability and exacerbate label scarcity. To overcome these challenges, we propose MAEPD, a foundation model for DAS signal recognition trained via masked autoencoder pre-training on large-scale, unlabeled DAS data collected from diverse domains. The pre-trained model is subsequently adapted to downstream tasks using adapter-based prompt tuning (APT) with only minimal labeled samples. In the DAS gait identity recognition task, with only 240 image signals per class, APT achieves 94.75% accuracy, a 4.46% improvement over full fine-tuning while updating only 2.77% of parameters. Inference latency of 2.74 ms per image meets real-time requirements. Compared to pre-training with gait data only (35.6 k samples), MAEPD improves accuracy by 3.88%, demonstrating the advantage of diverse pre-training data. The method shows robust performance across water pipe leakage, perimeter security, and public datasets, with low sensitivity to labeled data quantity. Results demonstrate an efficient and scalable solution for DAS signal recognition. Full article

The automatic reading recognition of digital instruments is crucial for achieving metering automation and intelligent inspection. However, in non-standardized industrial environments, the masking effect caused by the coupling of non-uniform low-light conditions and the reflective surfaces of instrument panels severely degrades the displayed information, significantly limiting the recognition performance. Conventional image processing methods, while aiming to restore the imaging quality of instrument panels through low-light enhancement, inevitably introduce overexposure and indiscriminately amplify background noise during this process. To address the two key challenges of illumination recovery and noise suppression in the process of restoring panel image quality under non-uniform low-light conditions, this paper proposes a coarse-to-fine cascaded perception framework (CFCP). First, a lightweight YOLOv10 detector is employed to coarsely localize the meter reading region under non-uniform illumination conditions. Second, an Adaptive Illumination Correction Module (AICM) is designed to decouple and correct the illumination component at the pixel level, effectively restoring details in dark areas. Then, an Illumination-invariant Feature Perception Module (IFPM) is embedded at the feature level to dynamically perceive illumination-invariant features and filter out noise interference. Finally, the refined detection results are fed into a lightweight sequence recognition network to obtain the final meter readings. Experiments on a self-built industrial digital instrument dataset show that the proposed method achieves 93.2% recognition accuracy, with 17.1 ms latency and only 7.9 M parameters. Full article

Background: Severe aortic stenosis (AS) increases left ventricular afterload and disrupts ventricular–vascular coupling. Transcatheter aortic valve replacement (TAVR) promptly relieves valvular obstruction, but its immediate effects on blood pressure-dependent arterial load and ventricular–vascular interactions are not fully clarified. Estimated pulse wave velocity (ePWV), derived from age and mean arterial pressure, is a convenient surrogate of global arterial load. The study aimed to assess ePWV before and after TAVR and its relationship with ventricular function and inflammatory biomarkers. Methods: In this retrospective observational study, 100 elderly patients with severe AS undergoing TAVR underwent detailed clinical, laboratory, and echocardiographic assessments before and after the procedure. Arterial stiffness was quantified using ePWV, while left ventricular geometry and systolic function were evaluated by standard echocardiography. Post-procedural reassessment was performed at hospital discharge (median 8 days after TAVR). Results: TAVR led to a modest but significant reduction in ePWV (from 12.79 ± 1.54 to 12.39 ± 1.54 m/s, p < 0.01) and improvement in left ventricular ejection fraction (LVEF) (from 44.89 ± 9.2% to 46.7 ± 7.95%, p < 0.01). Higher baseline ePWV correlated with unfavorable left ventricular remodeling and systolic dysfunction, and post-procedural ePWV remained linked to right ventricular performance. Before TAVR, ePWV and LVEF were both associated with inflammatory biomarkers, relationships that disappeared after intervention. Conclusions: Overall, ePWV functioned as an integrated measure of ventricular–vascular interaction and global hemodynamic load, though its interpretation post-TAVR requires caution due to direct blood pressure dependence and confounding by acute procedural inflammation. Full article

Electric-propulsion (EP) orbit raising from geosynchronous transfer orbit (GTO) to geostationary Earth orbit (GEO) requires long-duration, continuously steered low thrust, for which small pointing deviations may accumulate over time, and practical execution is constrained by spacecraft attitude and momentum management. This study develops a cross-layer command-to-execution framework that couples mission-level thrust-command generation with smooth trajectory planning of an EP vectoring arm. At the orbit layer, an engineering-oriented mission-level transfer model with dominant J₂ secular correction is used to construct a time-tagged sequence of thrust magnitude and direction commands for the GTO–GEO transfer. At the execution layer, a 4-DOF revolute arm is modeled using Denavit–Hartenberg kinematics, and the desired thrust directions are mapped to feasible joint trajectories through a direction-only inverse-kinematics formulation cast as a constrained nonlinear least-squares problem with cross/dot residuals, smoothness regularization, and warm-start propagation. In numerical simulation, the GTO–GEO transfer is completed in approximately 278 days with Δv ≈ 3665 m/s, corresponding to a propellant consumption of 175 kg (spacecraft mass from 1800 kg to 1625 kg). The planned joint trajectories remain smooth over the full horizon, with maximum inter-sample variations of 1.84° and 1.04° for the major and minor motion groups, respectively. The numerical geometric thrust-direction tracking error in the kinematic mapping remains at the millidegree level, with a mean of 7.39 × 10⁻⁴° and a P95 of 0.00101°. The results demonstrate that the proposed cross-layer interface can generate executable, low-bandwidth joint commands while preserving high geometric consistency with the desired thrust directions in the numerical kinematic mapping sense, thereby providing a practical basis for implementation-oriented studies of EP orbit transfer with vectoring manipulators. Full article

Voltage sags pose severe risks to sensitive equipment in modern industries, requiring power quality monitoring equipment to possess fast and accurate sag detection capabilities. The traditional second-order generalized integrator (SOGI) will have oscillation phenomena in the case of DC offset, low-frequency harmonics, and high-frequency impulse noise. This study introduces a strong detection algorithm that combines Adaptive Composite Morphological Filtering (ACMF) with an improved Mixed Second- and Third-Order Generalized Integrator (MSTOGI). First, the ACMF pre-filtering module dynamically adjusts the scale of composite structuring elements through periodic parameter optimization, effectively filtering high-frequency random impulses while preserving the sharp transitions of abrupt voltage changes. Second, MSTOGI eliminates DC offset, and optimizes the gain coefficient to achieve the best dynamic response speed. Ultimately, a cascaded notch filter (CNF) module focuses on and removes even-order harmonic ripples caused by the synchronous reference frame transformation. Simulation results indicate that under severe grid conditions involving multiple composite distortions, the proposed architecture reduces the sag detection time to within 1.0 ms under typical operating conditions, with steady-state phase errors strictly controlled within a ±2° range. This method provides a reliable solution for DVR and UPS. Full article

Background/Objectives: Folic acid (FA) intake impacts one-carbon metabolism (OCM), which is crucial for fetal development and epigenetic regulation. While FA supplementation is known to lower homocysteine levels, its comprehensive effects on OCM-related metabolites in maternal and cord blood remain unclear. This study aimed to investigate the association between FA use and serum OCM-related metabolite profiles in Japanese pregnant women. Methods: We analyzed 146 mother-infant pairs from the Chiba study of Mother and Child Health (C-MACH) cohort. Blood samples were collected in early pregnancy, late pregnancy, and at delivery (maternal and cord blood). FA use was assessed via self-administered questionnaires. Serum concentrations of 18 OCM-related metabolites, including 5-methyltetrahydrofolate (5-MTHF) and homocysteine, were measured using LC-MS/MS. Results: FA users exhibited significantly higher 5-MTHF and lower total homocysteine concentrations in maternal blood at all time points and in cord blood compared to non-users. Compared to non-users, FA users exhibited a lower serine/glycine ratio in early pregnancy, a higher betaine/DMG ratio in maternal blood at delivery, and higher S-adenosylmethionine and total cysteine concentrations in maternal blood during late pregnancy. In cord blood, unmetabolized folic acid concentrations did not differ significantly between FA users and non-users. Furthermore, the cord-to-maternal 5-MTHF ratio was significantly lower in FA users. Conclusions: Our findings suggest that FA use during pregnancy may contribute to the optimization of OCM in both the mother and fetus. Full article

Raspberry (Rubus idaeus L.) fruits have been widely used due to their abundance of diverse polyphenolic compounds, whereas research on the chemical composition and bioactivity of their stems and leaves remains limited. In this study, the ethyl acetate extract of raspberry stems and leaves was evaluated for inhibitory activity against α-glucosidase and α-amylase. Guided by affinity ultrafiltration–mass spectrometry, 16 potential active components were further isolated and characterized. Among these, 13 compounds exhibited binding affinity for α-amylase, while 5 compounds showed binding affinity for α-glucosidase. Quercetin-3-O-β-D-glucoside-7-O-β-D-gentiobioside was isolated from raspberry stems and leaves for the first time. Procyanidin C₃ and quercetin exhibited significant inhibitory effects on the two enzymes. Molecular docking studies hinted at the interactions between these compounds and the key active sites of the two enzymes. These findings suggest that phenolic compounds in raspberry stems and leaves may possess potential as α-glucosidase and α-amylase inhibitors, providing a scientific basis for further research on their application as functional components for blood glucose control. Full article

Volatile organic compounds (VOCs) emitted from hardwood papers are associated with cellulose fibers, paper fillers, and the manufacturing process used. Volatiles emitted from samples of office (printing and writing) papers from various brands and countries were analyzed by gas chromatography–mass spectrometry (GC-MS) and an electronic nose (e-nose) based on piezoelectric quartz crystals. Dodecanoic acid 1-methylethyl ester (isopropyl dodecanoate) and nonanal have shown to be the dominant compounds in most of the samples analyzed, regardless of the pulpwood used in paper manufacturing: Eucalyptus globulus, acacia, and birch. 3-Hydroxybutanone was detected only in Spanish papers, suggesting it as a potential marker. Additionally, the content in acetic acid enables the identification of recycled paper. Full article

Antimicrobial resistance (AMR) represents a critical global health challenge, with methicillin-resistant Staphylococcus aureus (MRSA) posing a significant threat in both hospital-acquired and community-associated infections. Research has demonstrated that biofilm formation is a key factor contributing to drug resistance in MRSA. In this study, we investigated an fungus, Fusarium oxysporum BPF55, isolated from Blaps rynchopetera, which inhibits MRSA biofilm formation. The aim of this research was to identify the fungal strain and comprehensively characterize its genomic features, as well as to evaluate its anti-MRSA biofilm potential. Whole-genome sequencing revealed a genome size of 50,097,681 base pairs, a GC content of 47.36%, and 16,507 predicted coding genes. AntiSMASH analysis identified 56 secondary metabolite biosynthetic gene clusters, including those involved in the synthesis of various natural products such as terpenes, non-ribosomal peptides, and polyketides. Using UPLC-MS/MS, 15 compounds were annotated from the ethyl acetate extract. Molecular docking studies demonstrated that four compounds exhibit varying affinities for SarA and AgrA, two key proteins involved in MRSA biofilm formation. Overall, these findings suggest that the fungus F. oxysporum BPA55 produces a variety of secondary metabolites and contains bioactive compounds with potential anti-MRSA biofilm activity. Full article

About 10% of plastic products are recycled worldwide, highlighting the need for technology improvements based on deeper material understanding. In packaging, which holds the highest market share in plastics demand, odor and potential hazards remain critical barriers to high-quality recycling. Conventional characterization relies on chromatography with extensive sample preparation. A gas chromatography system equipped with thermal desorption and dual flame ionization and mass spectrometric detection (ATD-GC/FID-MS) was established to analyze recyclates directly, thereby accelerating technology adaptation and guiding follow-up analyses. For calibration and validation, liquid standards were introduced into TenaxTA-filled tubes via a packed column injector and compared to a loading rig. The injector exhibited losses for higher-molar-mass compounds and solvent-dependent signal shifts. A storage study on compounded recycled polypropylene stored under various conditions showed that samples not frozen in sealed containers should be analyzed within 30 days. Experiments with varying sample geometries demonstrated that higher surface-to-volume ratios increase volatile release and variability in results, highlighting the need for uniform shapes. Applying the method to recycled yogurt cups enables the identification and quantification of contaminants, facilitating optimization of the washing process. Overall, ATD-GC/FID-MS provides a rapid screening tool for recyclate quality control and supports the improvement of recycling technologies. Full article

Elevator fault diagnosis heavily relies on high-precision sensing of microscopic physical states. Although Micro-Electro-Mechanical System (MEMS) sensors can capture such subtle features, they are constrained by high-frequency data streams, environmental noise, and the semantic gap between raw sensor data and actionable maintenance decisions. This study proposes a collaborative edge–cloud intelligent diagnosis framework specifically designed for elevator systems. On the edge side, a lightweight temporal Transformer model, ELiTe-Transformer, was designed and deployed on the Jetson platform. This model enhances sensitivity to event-driven MEMS signals through an industrial positional encoding mechanism and by integrating linear attention and INT8 quantization techniques, achieving a real-time inference latency of 21.4 ms. On the cloud side, retrieval-augmented generation (RAG) technology was adopted to integrate physical features extracted at the edge with domain knowledge, generating interpretable diagnostic reports. The experimental results show that the overall accuracy of the system reaches 96.0%. The edge–cloud collaborative framework improves the accuracy of complex fault diagnosis to 92.5%, and the adoption of RAG reduces the report hallucination rate by 71.4%. This work effectively addresses the bottlenecks of MEMS perception in elevator fault diagnosis, forming a closed loop from micro-signal acquisition to high-level decision support. Full article

Finned tubes contribute to the heat transfer performance of heat exchangers by increasing the surface area; they also modify patterns within the flow around the tubes and thus increase the likelihood of flow-induced vibrations (FIVs), which can undermine structural integrity. The tradeoff between improved heat transfer and minimized vibration risks is thus of concern in the optimization of finned tube designs. This paper examines the vibration behavior of circular finned tubes fitted in a parallel triangular configuration when subjected to crossflow conditions with particular reference to the structural response as opposed to thermal performance. In this study, two tube bundles arranged in a 30° parallel triangular layout were tested. The test tube has pitch-to-diameter (P/D) ratios of 1.16 and 1.37 and fin densities of 3, 6, and 9. In this study, experiments were conducted in a low-speed closed-loop water tunnel, which also involved the fabrication of circular finned tubes, the preparation of test bundles, and vibration response measurements. The key parameters analyzed in this experiment were the vibration amplitude, damping, pitch ratio, and fin density. Based on the free-stream velocity range of 0.13–0.28 m/s in a 300 mm × 300 mm closed-circuit water tunnel (hydraulic diameter $D_h=0.3$ m), the Reynolds number ranged from 3.9 × 10⁴ to 8.4 × 10⁴ (water at 20 °C). The results of this experiment demonstrate that by increasing the fin density, the vibration amplitudes can be reduced, which also raises the critical velocities. Reducing the pitch ratio from 1.37 to 1.16 produced an onset of instability approximately 53% earlier than the onset of instability at the ratio of 1.37. The bandwidth of the pitch ratio of 1.16 at the same fin density of 9 was almost 45% lower than that at 1.37, which confirms that the system at 1.16 is much more unstable. In general, the 1.37 pitch ratio offers 3 times higher stability margins than those of 1.16 for the fin densities under study. The development of optimal finned tube heat exchanger designs that reduce flow-induced vibrations without sacrificing thermal performance is aided by these findings, which provide information on the relationship between the fin density, pitch ratio and vibration behavior. Full article

In this work, we propose an incremental pulse-width erase (IPWE) scheme for fast and variation-tolerant gate-induced drain leakage (GIDL) erase of 3D NAND flash. For the GIDL erase operation, GIDL-generated hole accumulation is required to raise the channel potential. This requirement leads to a transient state that degrades erase speed and broadens distribution of the erased Vth. In addition, the degradation becomes more pronounced with critical-dimension (CD) variation and temperature variation. The proposed IPWE scheme increases erase pulse width progressively, rather than increasing erase voltage as in the conventional incremental step pulse erase (ISPE) scheme. Sentaurus TCAD simulations of a 3D NAND flash with a surrounded BL PAD structure demonstrate that the IPWE scheme achieves a 1.18 V larger Vth shift compared to the ISPE scheme for the same total erase time of 6.6 ms. The IPWE scheme also effectively narrows the erase Vth shift distribution, reducing it by 40 mV under a 55 nm CD variation, 0.26 V for a 10 nm CD variation between channel strings, and 2 V across a 50 K temperature variation, all within a total erase time of 6.6 ms. Full article

Background/Objectives: Herbal formulas are unsuitable for routine dietary use. This study evaluates Qige Pipa Decoction (QPD), a food–medicine homologous formula containing edible components, comparing its anti-diabetic effects with the classic Gegen Qinlian Decoction (GQD) to explore its potential as a sustainable dietary intervention for T2DM. Methods: T2DM mice received QPD, GQD, or metformin for 6 weeks. Parameters included glycemic control, histopathology, gut microbiota (16S rRNA), serum metabolomics, liver transcriptomics, and chemical profiling (UPLC-Q-TOF-MS). Results: Both formulas comparably improved glycemia and insulin resistance. QPD uniquely enriched beneficial gut bacteria (e.g., Roseburia) and suppressed pro-inflammatory taxa. Metabolomics revealed decreased Carnitine C20:1 and increased phospholipids in the QPD group. Transcriptomics showed QPD enriched the AGE-RAGE signaling pathway. Chemically, QPD showed relatively higher signal intensities for glycosides and organic acids, while GQD showed relatively higher signal intensities for alkaloids. Conclusions: QPD exhibits anti-diabetic efficacy similar to GQD but through distinct regulatory mechanisms. Its food-medicine homologous composition provides a theoretical rationale for its exploration as a sustained dietary adjunct. However, the absence of safety biomarkers in this study precludes definitive conclusions regarding long-term tolerability, necessitating dedicated toxicological assessment in future trials. Full article