Search Results (3,180)

Background: Antimicrobial-resistant Escherichia coli and Klebsiella pneumoniae represent an increasing challenge in community-acquired pediatric diarrheal infections. Understanding the genomic basis and dissemination of resistance in outpatient settings is essential for guiding antimicrobial use. Methods: Eighteen Gram-negative isolates obtained from pediatric outpatients with acute diarrhea were analyzed using selective culture methods, antimicrobial susceptibility testing, and whole-genome sequencing. Multilocus sequence typing, serotyping, virulence profiling, antimicrobial resistance gene detection, plasmid replicon typing, mobile genetic element analysis, and core genome-based phylogenetic analysis were performed. Phenotypic resistance profiles were correlated with genomic resistance determinants. Results: Klebsiella pneumoniae (55.56%) and Escherichia coli (44.44%) were identified, with all isolates exhibiting putative multidrug resistance-associated genomic profiles. Extended-spectrum β-lactamase genes, particularly blaCTX-M variants, were strongly associated with resistance to third-generation cephalosporins. In contrast, fluoroquinolone resistance correlated with gyrA and parC mutations and plasmid-mediated qnr genes. Phylogenetic analysis revealed diverse lineages harboring resistance determinants. In silico plasmid analysis revealed that key resistance genes co-occurred with IncF-type plasmids and mobile genetic elements, including ISEcp1, IS26, and class 1 integrons, suggesting putative plasmid association rather than confirmed localization. Conclusions: These findings highlight the small scale of plasmid-mediated antimicrobial resistance among E. coli and K. pneumoniae causing pediatric community-acquired diarrhea. The integration of phenotypic and genomic analyses underscores the need for continuous resistance surveillance to support rational antibiotic use in outpatient settings. Full article

This review critically synthesizes current evidence regarding the natural history, advanced diagnostic imaging, and therapeutic interventions for acquired retinoschisis and retinoschisis-associated retinal detachment. A systematic search of PubMed and Embase databases was conducted for literature published up to 2026, focusing on comparative outcomes of scleral buckling versus pars plana vitrectomy and novel imaging modalities. The advent of ultra-widefield optical coherence tomography has shifted the diagnostic paradigm, enabling the precise identification of outer layer breaks as the primary biomarkers for progression. While observation is mandated for asymptomatic, non-progressive cases, the choice between buckling and vitrectomy for active detachments is often driven by surgeon preference rather than anatomical necessity. We propose an updated decision-making algorithm that integrates lens status, break localization, and vitreous findings to guide the surgical approach. Moving beyond a “one-size-fits-all” strategy, this review advocates for a personalized management plan that balances anatomical success with long-term quality of life. Full article

Light environments within plantation forests vary significantly with stand degradation. This study investigated how light-related factors change along degradation gradients in Robinia pseudoacacia L. (black locust) plantations and how these changes influence understory herbaceous vegetation and regeneration. An R. pseudoacacia plantation at the Zhongmu State-owned Forest Farm, ZhengZhou, China was studied across three degradation levels (least degraded, moderately degraded, and severely degraded). Integrated analyses were employed to assess light–vegetation relationships under different stand densities. The results indicated that canopy openness (CO), photosynthetically active radiation (PAR), and light transmittance increased significantly with increasing degradation severity, whereas the leaf area index (LAI) declined. Specifically, differences in LAI among degradation levels were observed in all density stands. CO, TDR, and PAR showed degradation-related differences in medium- and high-density stands, while other light variables varied under specific density–degradation combinations. Furthermore, herbaceous biomass declined, canopy cover showed a fluctuation trend, and species diversity increased. Significant correlations were observed between multiple light parameters and herbaceous attributes. Overall, variations in the light environment were closely associated with understory vegetation dynamics. Moderate degradation was linked to higher herbaceous diversity, whereas regeneration density exhibited a non-monotonic response across degradation levels, with the lowest value under moderate degradation rather than a continuous decline under severe degradation. Full article

Most patients with irritable bowel syndrome have diarrhea or constipation, two opposite bowel habits. Although defecation habits represent opposing phenotypes, patients across all subtypes exhibit visceral hypersensitivity. This review explores the common pathway that causes visceral hypersensitivity: the mast cell–PAR2–TRP axis. The mechanism involves tryptase released by mast cells. Furthermore, tryptase activates PAR2, which sensitizes downstream TRP ion channels that conduct pain signals. The review also examines the factors leading to the formation of different fecal characteristics. In terms of treatment, this review also summarizes therapeutic agents targeting different components of this axis. Future pharmaceutical research should focus more on the mast cell–PAR2–TRP axis. Full article

The progression of prostate cancer to castration-resistant disease (CRPC) remains a clinical challenge in which oxidative stress intersects with the PI3K/AKT–androgen receptor (AR) axis. Quercetin (QRC) is a redox-active dietary flavonol, yet its mechanistic impact on CRPC is incompletely defined. Here, we tested whether QRC suppresses AR output by directly modulating AKT. C4-2B and 22Rv1 CRPC cell lines were treated with increasing QRC concentrations, with or without enzalutamide (Enz). Proliferation and viability were monitored by IncuCyte imaging and SYTOX Green incorporation. AKT phosphorylation (S473), AR phosphorylation (S210/213), AR abundance and localization, and prostate-specific antigen (PSA) secretion were assessed by immunoblotting, immunofluorescence, and dot blot, respectively. Docking and molecular dynamic simulations were performed to identify and evaluate a putative QRC-binding site on AKT. QRC produced a dose-dependent cytostatic effect (IC₅₀ 24.37 μM in C4-2B; 21.54 μM in 22Rv1) without marked cell death, reduced pAKT(S473) by up to 80%, decreased pAR(S210/213), and diminished nuclear AR and PSA secretion. Simulations suggested a putative druggable allosteric pocket in the AKT1 N-lobe, with G159 emerging as a potential anchor residue. Enz cotreatment with QRC did not produce additive effects, consistent with a model in which QRC acts upstream of ligand-driven AR activation and thereby limits the incremental benefit of AR antagonism under these conditions. These data support QRC as an AKT–AR axis modulator in CRPC and provide a target engagement framework beyond simple ROS scavenging. Full article

Achieving lightweight representations of building mesh models with accurate geometry and fine structural details is a key challenge in urban 3D modelling. Most existing mesh simplification methods focus on minimizing geometric error while neglecting the specific characteristics of building models in terms of geometric structure and semantic hierarchy, thus leading to structural degradation and semantic inconsistencies. To address this issue, this paper proposes a structure–semantic dual-constrained edge-collapse decimation method for simplifying dense building mesh models reconstructed from point clouds. Our core innovation lies in the joint enforcement of geometric structural constraints and building semantic constraints to effectively preserve both geometric structural features and component-level semantic structures of the models. By incorporating these two constraints, we adaptively assign higher collapse penalties to key structural edges and semantic boundaries, achieving lightweight building model simplification while maintaining fine-level structural details even under high compression ratios. Our method is extensively validated on several datasets of varying scales and complexities, including single-building models from Sketchfab, the large-scale urban datasets SUM and STPLS3D, and the ArCH cultural heritage dataset. Experimental results demonstrate that our method achieves superior or comparable performance compared to the existing methods across all the test datasets, consistently achieving lower or on-par geometric errors measured by RMSE and MAE. Furthermore, our simplified results can be semantically organized and stored under the CityGML paradigm, which provides a unified data support for sharing, semantic retrieval, downstream analysis, and other applications of lightweight building models. Full article

We developed a human–robot collaborative manipulation system (co-manipulation system) in the form of a power assist robotic system (PARS) where a human and a robot collaborated to perform the co-manipulation of an object with power assistance. We conducted an experiment (the first experiment), where in each trial of the experiment, a human subject performed the co-manipulation of the object with the PARS, and an expert human–robot co-manipulation researcher observed the co-manipulation task. We collected the co-manipulation and observation data, analyzed the data, and conducted reviews of the related literature, and developed the HRC (human–robot collaboration) metrology, which consisted of necessary criteria, metrics and methods to assess human–robot collaborative manipulation tasks. The proposed HRC metrology consisted of both human–robot collaborative performance and human–robot interactions (HRI) related assessment criteria. Then, we developed another human–robot co-manipulation system using a robot manipulator. In this system, the human–robot co-manipulation task was performed in conjunction with a collaborative assembly task between the robot and human co-workers. In another experiment (the second experiment), we assessed the co-manipulation task for each robotic system separately based on the developed HRC metrology (set of assessment criteria, metrics and methods) to verify and validate the practicality, usability and effectiveness of the criteria, metrics and methods. The results showed that the HRC metrology was effective and practical in assessing the co-manipulation tasks. We then discussed the strengths and limitations of the assessment criteria, metrics and methods. The proposed HRC metrology can be used to assess human–robot collaborative performance and human–robot interactions in human–robot co-manipulation tasks with potential real-world applications in industrial manipulation and manufacturing, transport, logistics, civil construction, rescue and disaster management, timber processing, etc. Full article

Mycoplasma genitalium is a significant sexually transmitted pathogen, and its clinical management is increasingly complicated by the global distribution of mutations associated with macrolide and fluoroquinolone resistance. To characterize the molecular resistance landscape in a routine diagnostic setting, we retrospectively analyzed residual clinical specimens collected during routine sexually transmitted infection testing between January and December 2024. Among 374,021 specimens screened, we included 4019 M. genitalium-positive samples containing sufficient residual material. Using multiplex polymerase chain reaction assays, we detected mutations associated with macrolide and fluoroquinolone resistance in the 23S rRNA and parC genes, respectively. Frequent substitutions included A2059G and A2058G in the 23S rRNA gene (1253 samples) and substitutions at positions 248 and 259 in the parC gene (1306 samples). Mutations in the predefined 23S rRNA and/or parC targets were identified in approximately 44% of the analyzed samples, with distinct patterns of mutation distribution and co-occurrence. Although phenotypic susceptibility and clinical outcomes were not assessed, this large-scale, assay-based analysis provides a comprehensive overview of resistance-associated mutation patterns in M. genitalium derived from routine diagnostics, supporting molecular surveillance for monitoring antimicrobial resistance trends. Full article

Point cloud completion for industrial mechanical components remains challenging due to reflections, self-occlusions, sparse sampling, and strict takt-time constraints in production, which often lead to large missing regions and incomplete fine structures. Meanwhile, industrial parts exhibit strong geometric regularities and prominent sharp features, making purely global feature-driven completion prone to structural drift and blurred boundaries. To address these issues, we propose a structure-prior-guided point cloud completion framework for industrial workpieces. Our method follows an encoder–decoder design with a coarse-to-fine generation strategy to balance global consistency and local geometric details. It enhances feature representation via local graph enhancement and relative-position attention, and further injects a primitive decomposition prior from ParSeNet into progressive decoding to condition point generation and displacement refinement. Experiments on industrial CAD datasets such as CADNET demonstrate that our approach achieves higher geometric fidelity and structural integrity under varying occlusion conditions, and also yields superior performance in downstream surface reconstruction evaluation compared with existing methods. Full article

Digital communication has been discussed as the locus of impoliteness and conflict par excellence. The aim of this paper is to examine impoliteness in a context of digital communication, that of food blogs, where impoliteness seems to be rather rare. The dataset consists of 2660 comments from 11 Greek food blogs. The data are analysed with the aid of strategies proposed in impoliteness research. The study aims to examine the frequency of offensive behaviour and to identify the issues that may trigger it. Furthermore, it purports to delve into the types and strategies of impoliteness used, and into interactants’ responses to offence. Data analysis showed that impolite behaviour is rare in this specific context and that it is triggered by issues related to features of good recipes and healthy eating practices, among others. It was also found that offence is usually mitigated through politeness strategies. Finally, several cases of offence were found to be disregarded by interactants, while others were resolved amicably. A tendency emerges in Greek food blogs towards the avoidance of impoliteness and the cultivation of relationships of closeness and solidarity. Full article

Background/Objectives: This study aimed to evaluate the autoregulatory capacity of optic nerve head (ONH) tissue blood flow in response to intraocular pressure (IOP) fluctuations during vitrectomy in patients with proliferative diabetic retinopathy (PDR). We hypothesized that impaired autoregulation of ONH tissue blood flow in response to intraoperative IOP fluctuations could contribute to subsequent ONH atrophy and the development of visual field defects in PDR patients following vitrectomy. Methods: We included five eyes from five patients with PDR (mean age 70.6 ± 9.0 years) undergoing 25-gauge pars plana vitrectomy. ONH tissue blood flow was quantitatively assessed using intraoperative laser speckle flowgraphy. Mean blur rate in the tissue area (MT), an indicator of ONH tissue blood flow, was measured at baseline (infusion pressure 0 mmHg), during sustained elevation to 25 mmHg (at 5 and 10 min), and 1 min after return to baseline (11 min). IOP was modulated using the IOP Control system of the Constellation platform. Results: Elevation of IOP to 25 mmHg significantly reduced ONH tissue blood flow, with MT decreasing by 29% at 10 min compared with baseline (p < 0.05, Dunn’s multiple comparisons test). After IOP returned to baseline, MT significantly recovered compared with the 10 min measurement (p < 0.05) and returned to levels not significantly different from baseline (p > 0.05). Conclusions: MT decreases during intraoperative IOP elevation in PDR undergoing vitrectomy, but recovers after the return to baseline pressure, suggesting preserved short-term autoregulatory capacity. Careful IOP management during vitrectomy remains important in eyes with PDR. Full article

Background: Aberrant signalling through the urokinase-type plasminogen activator receptor (uPAR) is a key driver of tumour invasion and progression in prostate cancer, yet linking molecular-level perturbations to emergent spatial invasion phenotypes remains challenging. Methods: In this study, we developed a multiscale in silico framework combining molecular docking, mechanistic ordinary differential equation (ODE) modelling, and agent-based modelling (ABM) to investigate uPAR-driven invasion dynamics. Results: Molecular docking and MM-GBSA analyses were used to prioritise caffeic acid phenethyl ester (CAPE) as a candidate uPA/uPAR modulator, while uPAR inhibition was implemented mechanistically at the signalling level within the ODE model rather than through direct energetic parametrisation. Steady-state signalling outputs were mapped to effective proliferation and motility rates, which served as inputs to a spatial ABM of tumour invasion. The integrated simulations showed that uPAR inhibition results in statistically significant reductions in spatial invasion and tumour growth compared with baseline conditions, whereas enhanced uPA signalling produced only modest, non-significant trends. Conclusions: These findings demonstrate how subtle intracellular signalling perturbations can translate into pronounced population-level invasion phenotypes when embedded in a spatial context. Overall, the proposed digital-twin framework provides a coherent and extensible approach for connecting molecular prioritisation with quantitative predictions of tumour invasion behaviour in prostate cancer. Full article

Parkinson’s disease (PD) is the second most prevalent neurodegenerative disorder, yet its pathogenic mechanisms remain incompletely understood, highlighting the need for reliable experimental models. We previously developed a murine model based on inhalation of a manganese mixture (MnCl₂ and Mn(OAc)₃), which reproduces dopaminergic neuron loss in the substantia nigra pars compacta (SNc) and motor impairment. However, its capacity to mimic mitochondrial dysfunction, a key mechanism in PD, had not been explored. This study evaluated mitochondrial ultrastructure, fission and fusion proteins, and the activity of electron transport chain complexes I and IV, alongside fine motor performance. Forty male CD1 mice were divided into control (deionized water) and manganese-exposed groups (0.04 M MnCl₂ + 0.02 M Mn(OAc)₃), inhaled for 1 h twice weekly over five months. Manganese inhalation induced significant fine motor deficits, increased mitochondrial number with reduced area and circularity, and disorganized cristae. Drp1 and Fis1 levels were elevated, accompanied by decreased activity of complexes I and IV, predominantly in the SNc. These findings demonstrate that this progressive, bilateral model reproduces mitochondrial and motor alterations resembling those observed in PD, supporting its utility for testing mitochondria-targeted therapeutic strategies. Full article

Endometriosis is a chronic inflammatory disease with frequent recurrence. Statins, due to their anti-inflammatory and antioxidant properties, may help control disease progression, but comparative data on local administration are limited. We evaluated simvastatin-, atorvastatin-, and rosuvastatin-loaded lipophilic gels on lesions, adhesions, and inflammatory markers in a rat model of peritoneal endometriosis. Forty rats were randomized to statin gels (n = 10 each), chitosan gel (vehicle; n = 5), or no treatment (control; n = 5). Two weeks later, lesion size, adhesions, histopathology, and serum Interleukin-6 (IL-6) and Interleukin-1β (IL-1β) were assessed. All statins significantly reduced endometriotic lesion size compared with controls. Lesion volume decreased by approximately 97% with simvastatin, 88% with atorvastatin, and 72% with rosuvastatin, whereas lesion volume increased in the control and vehicle-treated groups. Adhesion severity was markedly reduced, with Hoffman scores decreasing from 7.2 ± 2.25 in controls to 1.9 ± 1.1 with simvastatin, compared with more modest reductions observed with atorvastatin and rosuvastatin. Similarly, Lauder adhesion scores were reduced by approximately 71% with simvastatin, confirming its superior anti-adhesion effect. Serum IL-6 and IL-1β levels were significantly decreased in all statin-treated groups, with no significant differences among statins. Overall, topical statin gel therapy effectively reduced lesion size, adhesions, and inflammation, with simvastatin showing superior anti-adhesion effects. Full article

This paper provides new field-based evidence on loss aversion and short-run learning using high-frequency performance data from professional golf. Leveraging over 100,000 putts recorded during the 2020 Korea Professional Golfers’ Association (KPGA) Tour, I examine how professional golfers adjust their putting behavior in response to reference-dependent incentives and immediate feedback. The structure of golf creates a natural empirical setting to test behavioral predictions: scoring rules establish salient reference points (e.g., par), while putting decisions are discrete, individually executed, and financially consequential. I find that players are significantly more likely to convert par-saving putts than birdie attempts from equivalent distances, consistent with loss aversion and reference-dependent preferences. Par putts are also executed more aggressively, but players regulate pace to avoid costly three-putt errors, indicating strategic self-regulation under loss-framed incentives. In addition, I document robust evidence of within-hole learning: second putts—taken shortly after the first under near-identical conditions—exhibit substantially higher success rates. These patterns are confirmed in logistic regression models with nonlinear distance controls and player fixed effects. This performance gap persists across scoring frames and aligns with models of reinforcement learning and dynamic belief updating. The findings illustrate how behavioral biases and adaptive learning interact in high-stakes, real-world decisions and highlight the value of professional sports data for testing core theories in behavioral economics. Full article