Search Results (461)

Background/Objectives: To investigate the prevalence and associated factors of postoperative radiculitis in patients treated with Anterior Lumbar Interbody Fusion (ALIF) in L4–L5 or L5–S1 utilizing lumbopelvic sagittal parameters and ideal alignment values calculated with GAP score components. Methods: A retrospective review using Natural Language Processing (NLP) for automated data extraction from clinical notes was conducted. 61 adult patients were included in the analysis. Postoperative radiculitis was defined as the new onset of unilateral or bilateral pain in the L4–S1 radicular territory with preserved motor function. Clinical parameters (Oswestry Disability Index), radiographic parameters (lumbopelvic sagittal alignment using GAP score components), and surgical factors (cage size and disc height modification) were evaluated and subsequently entered into a multivariable logistic regression analysis. Results: Postoperative radiculitis occurred in 29.5% of patients, with symptoms primarily manifesting within the first six weeks following surgery and lasting up to six months. Patients in the Pain group showed notable differences in pre- and postoperative GAP score parameters, specifically higher values for relative lumbar lordosis (RLL) and relative pelvic version (RPV). Furthermore, multivariable logistic regression identified postoperative RLL and the anterior disc height (ADH) ratio to be independently associated with the development of radiculitis. Conclusions: Excessive disc space enlargement during ALIF is associated with a higher likelihood of postoperative radiculitis, particularly in patients with pre-existing near-ideal lumbar alignment. To mitigate this iatrogenic complication in this group, the degree of correction must be individualized. This tailored approach should incorporate parameters from the GAP score and a careful assessment of the relationship between the anterior disc height and the vertebral body. Full article

The development of sustainable, noble-metal-free photocatalytic systems for acceptorless dehydrogenation (ADH) of cyclic amines remains a significant challenge. Herein, we report a novel heterogeneous photocatalyst constructed by covalently grafting a cobaloxime-based proton reduction catalyst onto a photosensitive covalent organic framework (PT-COF). The tailored PT-COF scaffold, featuring a donor–acceptor architecture and uncondensed amino groups, serves as both an efficient visible-light harvester and a porous support for cobalt active sites. The resulting Co-PT-COF hybrid exhibits excellent photocatalytic activity for the ADH of a wide range of cyclic amines, affording the corresponding N-heteroarenes in 62–95% yields under an Ar atmosphere at 28 °C with blue LED irradiation for 12 h in water. Notably, the catalyst demonstrates outstanding recyclability over five consecutive cycles with minimal loss of activity or cobalt leaching. Comprehensive photoelectrochemical and spectroscopic studies reveal that enhanced charge separation and efficient electron transfer from the photoexcited COF to the cobalt centers underpin the superior performance. Mechanistic investigations, including in situ EPR spectroscopy, confirm the involvement of α-amino radical intermediates in the catalytic cycle. This work establishes a sustainable platform for solar-driven dehydrogenation chemistry and provides a versatile blueprint for integrating molecular catalysts with photoactive frameworks. Full article

Existing timetable optimisation models for urban rail transit predominantly adopt operator-oriented objectives with assumed passenger-related weights. This paper proposes a passenger satisfaction-oriented timetable optimisation framework in which satisfaction weights are empirically derived from confirmatory factor analysis and Cramér’s V analysis of survey data collected from 439 passengers on Nanning Rail Transit Line 1. Seven scheduling-related service attributes are formally expressed as functions of timetable decision variables, establishing a direct linkage between passenger perception and scheduling decisions. A multi-objective model minimises a weighted combination of passenger dissatisfaction, operational cost, and stranded passenger ratio, solved by a Passenger Satisfaction-oriented Adaptive Dispatch Heuristic (PS-ADH) integrating simulated annealing with a passenger flow simulation module. Case study results demonstrate simultaneous improvements of 3.78% in composite objective value, 3.25% in passenger dissatisfaction, and 3.25% in operational cost, with a 27.4% reduction in stranded passengers. The optimised strategy is selected consistently across all ten random initialisations (CV = 0.13%). Sensitivity analysis reveals a structural break at cost weight $\beta =0.4$, beyond which the optimal strategy shifts qualitatively toward cost minimisation at the expense of service quality. The framework provides a transferable methodology for integrating passenger perception data into rail transit scheduling for emerging urban rail systems. Full article

The steel surface defect detection is crucial for steel quality and usage safety. The high computational cost and low detection accuracy are still the main issues in current steel detection models. To efficiently address the issues above, this paper proposes a new steel surface defect detection model named DIDW-YOLOv11. In the proposed DIDW-YOLOv11, the YOLOv11 C3k2 module is first innovatively improved by C3K2-DIMB, which integrates C3K2 and DIMB by introducing DynamicInceptionDWConv2d (DIDW) to sufficiently strengthen the detailed feature extraction for tiny defects and weak-texture defects, improving the matching degree of multi-scale receptive fields. Then the YOLOv11 SPPF module is enhanced by integrating the IDWFSPPF module for optimizing the fusion of local and global information, which combines average pooling and max pooling to enhance the model’s multi-scale feature fusion capability. An auxiliary detection head (ADH) is finally proposed with an additional coarse loss function to process shallow feature information into the model, which uses extra supervision for shallow features to suppress background noise and reduce false detections. Experimental results on the NEU-DET and GC10-DET datasets show that DIDW-YOLOv11 achieves 4.9% and 3.8% improvements in mAP@0.5 compared to the baseline model YOLOv11s. Our research indicates that DIDW-YOLOv11 exhibits stronger recognition ability and robustness in complex and diverse defect detection, providing an effective solution for steel defect detection in industrial production. In addition, experimental results show that our model offers improved performance over the baseline methods. Full article

In this study, 20% ethanol elution fraction(PC-20), 40% ethanol elution fraction(PC-40), 60% ethanol elution fraction(PC-60), and 80% ethanol elution fraction (PC-80)of Penthorum chinense polyphenols were obtained using AB-8 macroporous resin . Their in vitro bioactivities were compared to explore potential applications. A comprehensive phytochemical analysis identified 85 compounds, including 16 phenolic acids, 36 flavonoids, 24 hydrolyzed tannins, 7 anthocyanins, and 2 others. The results showed clear ethanol concentration-dependent variations in both compound composition and bioactivity. PC-20 had the highest levels of total polyphenols (418.45 mg/g), proanthocyanidins (84.95 mg/g), and tannins (10.61 mg/g), and also showed the best antioxidant capacity. PC-40 contained the most flavonoids (227.55 mg/g). PC-60 gave the strongest α-glucosidase inhibition (IC₅₀ = 0.79 µg/mL), while PC-20 was most effective against pancreatic lipase (IC₅₀ = 101.06 µg/mL) and also significantly activated the enzymes ADH and ALDH. Overall, PC-20 appears more suitable for applications aimed at antioxidant, anti-obesity, or liver-protective effects, whereas PC-60 is more promising for blood glucose control. This work provides a practical basis for selecting different ethanol fractions of P. chinense polyphenols according to specific functional needs. Full article

We explored the possibility of antioxidant and antifibrotic effects of panthenol (PL) associated with modulation of coenzyme A (CoA) biosynthesis in the liver in a rat model of chronic obstructive cholestasis induced by bile duct ligation (BDL). We found that PL increased alcohol dehydrogenase (ADH) activity in the liver of BDL rats. PL and its analog pantethine increased pantothenate kinase (PANK) activity, restored hepatic CoA levels reduced by BDL, lowered protein-bound CoA, and normalized impaired mitochondrial functions associated with induced oxidative stress after BDL. These effects were accompanied by decreased collagen deposition and improved morphological features of hepatocytes. In contrast, PANK inhibitor, hopantenic acid (HPA), reduced hepatic CoA levels, aggravated hepatocellular damage, and promoted fibrosis. In the human hepatic stellate cell line LX-2, PL exhibited no cytotoxicity over a wide concentration range, increased intracellular CoA levels, decreased reactive oxygen species (ROS) production, and attenuated collagen accumulation associated with oxidative stress in vitro. Importantly, inhibition of ADH by 4-methylpyrazole completely abolished the protective effects of panthenol, indicating that its activity depends on metabolic pathways involving CoA. Notably, PL did not directly reduce H₂O₂ or superoxide anion radical production in cell-free systems but significantly suppressed lipid peroxidation in liposomes and red blood cells in vitro. Ultimately, these findings indicate that the antioxidant and antifibrotic effects of PL are associated with modulation of CoA metabolism and enhanced resistance of biological membranes to oxidative damage. Full article

Rapid vertical growth in Tier-2 Indian cities is reshaping residential forms and may affect cooling demand, passive comfort, overheating severity, and peak electricity demand. This study examines the influence of building height and window-to-wall ratio (WWR) on residential thermal performance in Patna, India, a composite-climate context. Five archetypes–detached house, row-house, low-rise apartment, mid-rise apartment, and high-rise apartment–were simulated in DesignBuilder/EnergyPlus Version 23.1.0 under 20%, 30%, and 40% WWR scenarios. Passive and active operation modes were evaluated through 30 annual simulations, generating 262,800 hourly records. External shading was excluded, and occupancy and ventilation assumptions were standardized to create a controlled benchmark design. Performance was assessed using annual cooling energy demand (ACED), all-hour and occupied-hour passive comfort percentage, adaptive degree-hours (ADH), and peak demand indicators. At 20% WWR, ACED increased from 33.13 kWh/m²·yr in the low-rise archetype to 42.79 kWh/m²·yr in the high-rise archetype, while all-hour passive comfort decreased from 68.16% to 49.28%. The row-house archetype performed best due to reduced exposed envelope area. A second-order surrogate model provided exploratory scenario-level approximation across 15 archetype–WWR cases. The findings support further investigation of morphology-sensitive residential envelope guidance within bounded composite-climate benchmark conditions. Full article

Background: Early external validation studies demonstrated the robust and consistent predictive performance of the International IgA Nephropathy Prediction Tool (IIgAN-PT) across diverse ethnic populations. However, emerging evidence suggests that, in contemporary cohorts of patients with IgA nephropathy, the IIgAN-PT increasingly tends to overestimate the risk of adverse renal outcomes. Subclassification of segmental glomerulosclerosis (S lesions) in the Oxford Classification system (MEST-C) could identify high-risk IgAN patients, with evidence that different S subclassifications respond differently to treatment. Our study aimed to evaluate the predictive performance of the IIgAN-PT in a contemporary Chinese external validation cohort and to optimize its prognostic accuracy by incorporating the most severe and prevalent pathological subclassification of S lesions, NOS⁺Adh⁺, into the original model. Methods: A total of 746 Chinese patients were included with biopsy-proven IgAN in this study. Major adverse kidney events (MAKEs) were defined as death from any cause, initiation of renal replacement therapy, or a 50% decline in eGFR. This study evaluated the discrimination and model fit of three predictive models. The performance of the original and modified IIgAN-PT models was compared and evaluated through reclassification, survival analysis, calibration, decision curve analyses and subgroup analyses. Results: In the study cohort, the median follow-up duration was 4.2 years, during which 77 patients experienced MAKEs. The discriminative ability of the three original models was relatively limited. In contrast, the modified IIgAN-PT incorporating the NOS⁺Adh⁺ subtype of S subclassification demonstrated improved global performance for predicting 5-year risk, achieving a C-index of 0.808 (95% CI, 0.756–0.861). Kaplan–Meier survival curves showed clear risk stratification, particularly between low- and intermediate-risk categories. Reclassification analyses (continuous NRI and IDI) and decision curve analysis further supported enhanced predictive performance, while calibration curves corrected the original model’s risk overestimation. The modified model maintained stable performance across clinically relevant subgroups, including patients with hypertension, proteinuria, or receiving immunosuppression. Conclusions: This study further confirms the independent and clinically relevant prognostic value of the S pathological subclassification. The modified IIgAN-PT model, incorporating the NOS⁺Adh⁺ subtype of S subclassification, demonstrated consistent performance in individualized risk assessment for patients with IgA nephropathy. Full article

This study highlights the strong ability of a new bacterial strain, Hafnia paralvei UUNT_MP29, isolated from the gastrointestinal tract (GIT) of common carp (Cyprinus carpio), to break down polystyrene (PS). As an omnivorous bottom feeder, C. carpio is constantly exposed to microplastics, creating a unique environment that favors the evolution of specialized microbiota capable of degrading polymers. Genomic analysis of the isolate identified key homologs involved in xenobiotic breakdown, including alcohol dehydrogenase (Adh), 3-hydroxybutyrate dehydrogenase (HDH), and a small glutamine-rich tetratricopeptide repeat-containing protein (SGTA), showing a strong metabolic system for processing long-chain hydrocarbons. Growth experiments showed the strain quickly adapted, reaching maximum cell density and forming mature biofilms by Day 16. Gravimetric analysis confirmed that H. paralvei UUNT_MP29 uses PS as its primary carbon source, with a significant weight loss of 16.76% over 16 days. Kinetic modeling indicated the degradation follows first-order kinetics (R² = 0.9243) with a high degradation rate constant (k) of 0.2078 day⁻¹. Surface analyses using FTIR and SEM confirmed extensive oxidative changes, as evidenced by the rising Carbonyl Index and surface erosion. TGA also showed reduced thermal stability of the treated polymer, suggesting microbial chain scission. These findings demonstrate the strong degradative ability of H. paralvei UUNT_MP29 and highlight the GIT of plastic-exposed aquatic animals as a promising area for discovering powerful biocatalysts for microplastic cleanup. Full article

Objectives: Six dentin adhesives were tested in vitro regarding their cytotoxicity toward human fibroblasts. AdheSE, Clearfil SE Bond, Hybrid Bond, One-up Bond F Plus, Optibond Solo Plus, and Syntac were tested using a cell culture model. The several components of dentin adhesives, like the primer and bonding, were analyzed as single and additive applied components as specified by the manufacturer for application in vivo. Methods: Seventy-five Petri dishes were produced per adhesive and control group, and all 525 Petri dishes were evaluated using multiparametric strategies, i.e., using multiple methods to strengthen the reliability of the results. The multiparametric strategies consisted of automated cell counting for viability, microscopic morphological assessment and lastly of reactivity grading according to ISO 10993-5. These assessments were performed after our initial investigation, and the observation period was extended from 24 h to 48 h. Results: AdheSE, Clearfil SE Bond, One-up Bond F Plus, and Optibond Solo Plus showed statistically significant reductions in viable cells relative to the cell control. All dentin adhesives except Clearfil SE Bond showed a statistically significant difference regarding the reactivity index in the application comparison. Conclusions: The test materials showed a moderate degree of cytotoxicity, with no statistically significant difference between the tested self-etch and etch-and-rinse dentin adhesives. However, the results show statistically significant differences between the adhesives when applied sequentially and once. Further research addressing mechanisms of cytotoxicity is needed for advancement in this field. Full article

Cancer progression is accompanied by significant metabolic alterations. We developed a novel computational approach to identify cancer-related risk metabolic subpathways (CMSubpathway). By leveraging the topology of large-scale metabolic pathway gene networks, we initially identified metabolic subpathways and then refined them by taking into account pathway activity dysregulation, prognostic efficacy, and classification performance. We employed the CMSubpathway to extensively identify cancer-related metabolic subpathways across 21 cancer types. Ultimately, 12 risk metabolic subpathways were identified in six cancer types. Subsequently, the 12 overlapping genes of risk metabolic subpathways were identified as the core metabolic module genes. Utilizing the public CRISPR knockout screening datasets sourced from DepMap, we further supported our hypothesis that the essential roles of ADH5, ALDH1B1, and ALDH7A1 in breast cancer cell growth and development. The core metabolic module and its associated genes exhibited significant down-regulation at both the transcriptome and proteome levels based on data from tissues, blood, and single cells. The activity of this core metabolic module was associated with the immune infiltration levels of multiple immune cells, especially T cells. Notably, an abnormal core metabolic module was observed in CD8 T cell subtypes, with the stem-like CD8 T cell subtype showing high metabolic activity and exhaustion markers. Thus, we established a method for identifying risk metabolic subpathways in cancers, which helps to identify more precise biomarkers for cancer patients. Full article

Microalgae-based wastewater treatment can support sustainable crop production. This study evaluated whether ethanol supplementation improves swine wastewater (SW) treatment by Dictyosphaerium sp. and enhances algal biofertilizer production. Across the ethanol levels tested, 500 mg/L ethanol significantly promoted algal growth and enhanced liquid-phase net removal of total salts, carbonate/bicarbonate, ammonium, phosphate, and calcium. Ethanol supplementation also reduced apparent nitrogen loss, and no residual ethanol was detected at the end of the culture. In the biofertilizer production experiment, peak algal biomass, algal nitrogen, and algal phosphorus increased by 320.0–407.4%, 122.7–158.1%, and 100.0–170.0%, respectively. Metatranscriptomic analysis showed active transcription of adh, aldh/aldB, and acs in Dictyosphaerium sp. and some bacterial taxa, mainly Flavobacterium, Chryseobacterium, Comamonas, and Brevundimonas. Community and transcriptomic results indicate enhanced photosynthetic activity and taxon-specific N- and P-related transcriptional responses, consistent with altered nitrate/nitrite transformation potential and increased nitrogen retention in the algal–bacterial system. Under the tested conditions, ethanol supplementation shows promise for SW treatment and algal biofertilizer production. Full article

This study presents a headset-type biofluorometric gas sensor incorporating a CMOS camera for continuous, non-invasive monitoring of transcutaneous ethanol from the ear canal. The sensor employs alcohol dehydrogenase (ADH) to catalyze the NAD⁺-to-NADH conversion during ethanol oxidation, enabling quantitative measurement through NADH fluorescence detection (λ_ex = 340 nm, λ_em = 490 nm). The integrated system comprises a wireless CMOS camera, an ADH-immobilized cotton mesh enzyme membrane, UV-LED excitation source, optical bandpass filters, and a dual convex lens assembly housed in a 3D-printed headset powered by a lithium battery. Key improvements include a 3.5-fold enhancement in fluorescence collection efficiency achieved through optimized dual convex lens configuration. Systematic screening of seven cotton mesh materials identified Iwatsuki cotton mesh as the optimal enzyme immobilization substrate, exhibiting minimal autofluorescence and 14.2-fold higher water retention capacity compared to H-PTFE membranes. The glutaraldehyde-crosslinked ADH-immobilized cotton mesh maintained enzymatic activity for over 45 min with a 10-fold improvement in signal-to-noise ratio. The system demonstrated a dynamic detection range spanning 10 ppb to 10 ppm for gaseous ethanol and exhibited high selectivity against interfering volatile organic compounds in skin gas, including methanol, acetaldehyde, formaldehyde, and acetone. Human experiments validated the system’s practical performance. Following alcohol consumption, subjects wore the device for 50 min while real-time fluorescence monitoring captured dynamic ethanol concentration changes in the ear canal. The dose-dependent fluorescence response—approximately 2-fold higher at 0.4 g/kg versus 0.04 g/kg alcohol intake—correlated well with calibration data. This headset-type biofluorometric sensor enables unrestrained continuous monitoring of ear canal ethanol, providing a novel wearable platform for alcohol metabolism assessment with potential applications in health monitoring and clinical research. Full article

Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly recognized as a systemic disorder shaped by genetic variants and network-level interactions beyond obesity and insulin resistance. This study aimed to define the genetic and proteomic architecture of MASLD by integrating GWAS and plasma proteomic profiling from the UK Biobank. Genome-wide association analyses were conducted under additive and dominant models, with functional annotations performed using SIFT, PolyPhen-2, PROVEAN, REVEL, CADD, MutationTaster, and conservation metrics (GERP++, phyloP, phastCons, and B-statistic). Differential protein expression was assessed using the Olink^® platform, and STRING was applied for protein–protein interaction analysis. MASLD patients showed male predominance and significant differences in hepatic (AST, ALT, GGT, PDFF), metabolic (glucose, triglycerides, TyG index), and inflammatory markers (CRP, neutrophils, NLR, CAR). GWAS confirmed PNPLA3 (rs738409, I148M) and TM6SF2 (rs58542926, E167K) as major risk variants, while SAMM50 and NCAN showed weaker but conserved associations. Proteomics revealed downregulation of IGFBP2, IGFBP1, PON3, CKB, and APOF and upregulation of CPM, IGSF9, GUSB, ACY1, AFM, LEP, and GSTA1/3. PPI analysis identified ADIPOQ, LEP, FGF21, and ADH1B as central hubs in metabolic and inflammatory regulation. MASLD should be regarded as a network disease involving lipid metabolism, insulin/IGF signaling, mitochondrial function, and ECM–inflammatory pathways. These findings highlight PNPLA3 and TM6SF2 as major genetic drivers, while SAMM50, NCAN, and peripheral proteins contribute regulatory roles, suggesting novel biomarkers and therapeutic targets. Full article

The retromer is a highly conserved complex that mediates the trafficking of cargo proteins to the plasma membrane or the trans-Golgi network. In pathogenic microorganisms, retromer-dependent transport contributes to the delivery of virulence factors and promotes infection. The retromer consists of a sorting nexin dimer (SNX) and a cargo-selection complex (CSC), formed by Vps26, Vps35, and Vps29. In Entamoeba histolytica, the parasite that causes human amoebiasis, the retromer functions as a Rab7A GTPase effector and participates in phagocytosis and cytotoxicity. Although we previously characterized the roles of EhVps26 and EhVps35, the function of EhVps29 remained unclear. In this study, we analyzed the subcellular localization and functional role of EhVps29 in adhesion, phagocytosis, and cytopathic effect. EhVps29 localized to the plasma membrane, cytosol, vesicles, tubules, Golgi-like structures, MVBs and, for the first time, the nucleus. Immunofluorescence and Western blot assays demonstrated that EhVps29 modulates the localization of EhVps26, EhADH adhesin, and EhCP112 cysteine protease. Ehvps29 gene silencing and overexpression confirmed its involvement in virulence-associated processes. Immunoprecipitation and confocal microscopy results showed the interaction among EhVps29 and the ESCRT machinery members EhVps36 and EhADH. Our results indicate that EhVps29 is involved in parasite virulence and protein trafficking through recycling or degradation pathways. Full article