Search Results (41,742)

This study evaluates the cosmetic degradation of polyethylene (PE) and polypropylene (PP) automotive components under four exposure scenarios—no exposure, outdoor exposure with and without glass shielding, and accelerated UV chamber weathering (ASTM G154)—through the evolution of visible (VIS) reflectance. Thirty-two samples (16 PE, 16 PP) were monitored over five time points; surface reflectance was recorded at 21 wavelengths and summarized into seven VIS bands, and hardness (Shore D) was measured pre/post-exposure. Repeated-measures univariate and multivariate analyses consistently revealed significant effects of Condition, Time, and their interaction on reflectance, with initial-reflectance adjustment improving inference stability across bands. PE exhibited more gradual and coherent reflectance decay, whereas PP showed greater band-to-band variability—most notably under UV chamber exposure. Additionally, hardness decreased in most exposed groups, aligning with optical changes. To place spectral trajectories in a kinetic context, a family of exponential models with small-sample information criterion selection was fitted, yielding $\eta \left(t\right)$—a dimensionless degradation efficiency summarizing spectral change. The contribution of this work is a multi-statistical framework—combining VIS-band-aware summaries with covariate-adjusted univariate/multivariate testing—that supports comparisons across materials and exposure conditions, underscoring the practical value of UV chamber protocols as surrogates for outdoor weathering. In sum, the study demonstrates the effectiveness of multivariate and covariate-adjusted models in quantifying optical degradation of polyolefins, offering pragmatic guidance for assessing mid- to long-term performance in automotive applications. Full article

Laser-assisted hatching (LAH) is used during in vitro fertilization (IVF) to improve the chances of embryo implantation into the uterine wall by creating a small, precise opening in its outer shell (zona pellucida). The primary objective of this study was to evaluate the safety profile of LAH performed using an infrared femtosecond laser system (λ = 1028 nm, E = 155 nJ, and I = 6.5 TW/cm²). We aimed to identify and quantify the potential biological effects of the laser and compare them with results from previous studies that used visible wavelength laser pulses (λ = 514 nm, E = 49 nJ, and I = 2.5 TW/cm²). To achieve this, we designed a controlled experiment using a mouse model. A critical component of our safety assessment involved quantifying the levels of reactive oxygen species (ROS) and analyzing the expression of heat-shock proteins (HSPs). Robust analyses revealed no statistically significant differences in either ROS production or HSP expression—assessed at both the protein and mRNA levels—between embryos in the negative control group and those subjected to the femtosecond LAH procedure. This key finding indicates that neither infrared nor visible femtosecond laser microsurgery of the zona pellucida induced a detectable oxidative or thermal stress response within the tested parameters. Full article

Background/Objectives: Cirrhosis is an irreversible state of chronic liver disease. Systemic inflammatory response syndrome (SIRS) is a severe complication and significantly contributes to lethal outcomes in cirrhotic patients. We studied a group of cirrhotic patients with SIRS admitted to our centre, assessing the relationship with in-hospital outcomes. Methods: The study population included 102 patients with alcoholic cirrhosis and SIRS. Laboratory biomarkers, the model for end-stage liver disease, the model for end-stage liver disease—natrium, the Acute Physiology and Chronic Health Evaluation II score, CLIF-C organ failure, the systemic immune-inflammation index score (S II), and the Cirrhosis Acute Gastrointestinal Bleeding (CAGIB) score were tested in relation to the mortality risk using receiver operating characteristic (ROC) curves. Results: Our results demonstrated that values of sodium, chlorides, and albumin significantly correlated with 7-day survival. The area under the curve’s (AUCs) values for sodium, chlorides, and albumin were 0.542, 0.627, and 0.610, respectively, for 7-day mortality prediction. The CAGIB score significantly correlated with 7-day mortality, with the cut-off value of −7.86 (AUC: 0.674, 95% CI (0.555–0.794)). For the assessment of 28-day mortality, the AUC values for sodium, chlorides, and albumin were 0.630, 0.654, and 0.661, respectively. Additionally, the cut-off value of the CAGIB score was found to be −7.84 (AUC: 0.625, 95% CI (0.509–0.740)) in 28-day mortality prediction. Conclusions: Sodium, chlorides, albumin, and the CAGIB score are reliable predictors of 7-day and 28-day in-hospital mortality in patients with advanced alcoholic liver disease and SIRS. Full article

The global transition toward sustainable energy has significantly accelerated the deployment of solar power systems. Yet, the inherent variability of solar energy continues to present considerable challenges in ensuring its stable and efficient integration into modern power grids. As the demand for clean and dependable energy sources intensifies, the integration of artificial intelligence (AI) with solar systems, particularly those coupled with energy storage, has emerged as a promising and increasingly vital solution. It explores the practical applications of machine learning (ML), deep learning (DL), fuzzy logic, and emerging generative AI models, focusing on their roles in areas such as solar irradiance forecasting, energy management, fault detection, and overall operational optimisation. Alongside these advancements, the review also addresses persistent challenges, including data limitations, difficulties in model generalization, and the integration of AI in real-time control scenarios. We included peer-reviewed journal articles published between 2015 and 2025 that apply AI methods to PV + ESS, with empirical evaluation. We excluded studies lacking evaluation against baselines or those focusing solely on PV or ESS in isolation. We searched IEEE Xplore, Scopus, Web of Science, and Google Scholar up to 1 July 2025. Two reviewers independently screened titles/abstracts and full texts; disagreements were resolved via discussion. Risk of bias was assessed with a custom tool evaluating validation method, dataset partitioning, baseline comparison, overfitting risk, and reporting clarity. Results were synthesized narratively by grouping AI techniques (forecasting, MPPT/control, dispatch, data augmentation). We screened 412 records and included 67 studies published between 2018 and 2025, following a documented PRISMA process. The review revealed that AI-driven techniques significantly enhance performance in solar + battery energy storage system (BESS) applications. In solar irradiance and PV output forecasting, deep learning models in particular, long short-term memory (LSTM) and hybrid convolutional neural network–LSTM (CNN–LSTM) architectures repeatedly outperform conventional statistical methods, obtaining significantly lower Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and higher R-squared. Smarter energy dispatch and market-based storage decisions are made possible by reinforcement learning and deep reinforcement learning frameworks, which increase economic returns and lower curtailment risks. Furthermore, hybrid metaheuristic–AI optimisation improves control tuning and system sizing with increased efficiency and convergence. In conclusion, AI enables transformative gains in forecasting, dispatch, and optimisation for solar-BESSs. Future efforts should focus on explainable, robust AI models, standardized benchmark datasets, and real-world pilot deployments to ensure scalability, reliability, and stakeholder trust. Full article

Background: This study investigates the association between diagnostic delay (DD) and clinical and behavioral variables among Japanese women with endometriosis, and explores an optimal cut-off point distinguishing short and long DD. Methods: a cross-sectional online survey was conducted among 220 Japanese women aged 18–49 diagnosed with endometriosis. Data on healthcare behaviors, economic expenditures, and disease-specific outcomes were analyzed by stratifying participants based on DD length. Multivariate logistic regression models were applied. Results: the mean age at initial symptom onset was 24.3 years, and at diagnosis, 27.7 years. The median DD was 1.5 years, with significant differences between short and long DD groups (p < 0.001). Longer DD was significantly associated with greater use of over-the-counter (OTC) pain medication (p = 0.008) and a higher proportion of Stage IV endometriosis (p = 0.022). Conclusions: diagnostic delays longer than 1.5 years may contribute to disease progression and reliance on self-management, potentially postponing medical consultation. Early intervention strategies, including screenings and public awareness, may promote timely healthcare-seeking behavior. Future studies should prioritize clinical assessments and early diagnosis to reduce the burden of advanced disease. Full article

Background/Objectives: Prediabetes markedly increases the risk of progression to type 2 diabetes. While exercise and dietary polyphenols independently enhance metabolic health, their combined and synergistic effects remain unclear. This randomized, single-blind, placebo-controlled trial investigated the synergistic effects of concurrent training and a microencapsulated persimmon–karonda polyphenol formulation on glycemic control and inflammatory outcomes in adults with prediabetes and who are overweight/obese. Methods: Forty-three participants completed the intervention and were assigned to placebo, concurrent training (CBT), supplementation (EATME), or the combined intervention (CBT + EATME) for 8 weeks. Primary outcomes included fasting blood glucose (FBG), glycated hemoglobin (HbA1c), homeostatic model assessment for insulin resistance (HOMA-IR), high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), adiponectin, physical fitness, and quality of life (QoL). Results: All intervention groups (CBT, EATME, and CBT + EATME) showed improvements in glycemic indices, with the greatest reductions in FBG (p < 0.01), HbA1c (p < 0.05), and HOMA-IR (p < 0.01) observed in the CBT + EATME group compared with placebo. All interventions significantly reduced hs-CRP (p < 0.01) and IL-6 (p < 0.01), accompanied by marked increases in adiponectin (p < 0.01), compared with placebo. In the CBT + EATME group, reductions in hs-CRP were positively correlated with improvements in HOMA-IR (r = 0.627, p < 0.05). Both CBT and CBT + EATME improved muscular strength and maximal oxygen consumption (V̇O₂max), with the combined intervention producing greater gains in upper- and lower-body strength (p < 0.05), V̇O₂max (p < 0.05), and the psychological well-being domain of QoL (p < 0.05) compared with placebo. Conclusions: These findings highlight that combining concurrent training with microencapsulated polyphenol supplementation produced the most consistent improvements across metabolic, inflammatory, and fitness outcomes, supporting this combined approach as an integrated and synergistic strategy to reduce diabetes risk and promote overall health in at-risk adults. The trial was registered at the Thai Clinical Trials Registry (TCTR20250512003). Full article

Ischemia/reperfusion (I/R) injury is a major complication in lung transplantation. Recent evidence suggests that mitogen-activated protein kinases (MAPKs) such as p-38 mitogen-activated protein kinase (p-38 MAPK) and extracellular signal-regulated kinase (ERK), along with functionally related kinases like phosphoinositide 3-kinase (PI3K) and protein kinase B (AKT), contribute to I/R pathophysiology by mediating inflammatory and stress-response signaling. MicroRNAs (miRNAs) also play a regulatory role in these processes. Lidocaine has demonstrated anti-inflammatory activity in several tissues; however, its ability to modulate miRNA expression and kinase activation in the lung is not yet fully understood. This study investigated the involvement of these signaling molecules in lung I/R injury and evaluated the modulatory effect of intravenous lidocaine in a porcine lung auto-transplantation model. Eighteen large white pigs were assigned to sham-operated (n = 6), control (lung auto-transplantation, n = 6), or lidocaine-treated (n = 6) groups. Lidocaine was administered as a 1.5 mg/kg bolus followed by a continuous infusion (1.5 mg·kg⁻¹·h⁻¹). Lung biopsies were collected before ischemia, before reperfusion, and at 30- and 60-min post-reperfusion to assess total and phosphorylated levels of p-38 MAPK, ERK, PI3K, and AKT (Thr308, Ser473), along with miR-126, miR-142-5p, miR-152, and miR-155 expression. I/R increased p-38 MAPK and AKT, and enhanced phosphorylation of all four kinases. miRNA levels were also upregulated. Lidocaine partially or completely attenuated these changes. These findings support a role for these molecular pathways in lung I/R injury and suggest that lidocaine may offer protective effects through their modulation. Full article

The pathogenesis of temporomandibular joint osteoarthritis (TMJOA) is poorly understood. This study aims to identify key biomarkers involved in TMJOA progression and explore potential therapeutic drugs through transcriptome analysis. A rat TMJOA model was established by bilateral injection of monosodium iodoacetate (MIA) into the TMJ cavities. Model validation was conducted using hematoxylin-eosin (HE) and Safranin O-Fast Green (SO-FG) staining. Differentially expressed genes (DEGs) were identified through RNA sequencing. Key pathways were explored using Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and Reactome pathway analyses. DEGs were clustered using MCODE analysis, and Hexokinase 3 (HK3) was identified as a key gene, which was further validated by qPCR. Potential drugs targeting HK3 were selected using the DGIdb database, and molecular docking was conducted to confirm drug-HK3 binding affinity. The TMJOA model was successfully established. RNA-seq analysis revealed 160 upregulated and 97 downregulated DEGs. KEGG, GO, and Reactome pathways analysis identified dysregulated pathways. The top five clusters of DEGs were identified, with HK3 emerging as the key gene. qPCR validation confirmed upregulated HK3 mRNA expression in TMJOA cartilage compared to the control group. Three drugs (MK8719, LY3372689, and Thiamet-G) targeting HK3 were identified through the Drug-Gene Interaction Database (DGIdb) screening, and molecular docking demonstrated high binding affinity between these drugs and HK3. This study suggests that HK3 may play a role in TMJOA progression and could serve as a potential biomarker for inflammatory progression in TMJOA. Targeting HK3 may offer new diagnostic and therapeutic strategies for TMJOA management. Full article

Objectives: Bisphenol A (BPA), a prototypical environmental endocrine-disrupting chemical (EDC), is ubiquitously present in environmental matrices and biological fluids. Dietary ingestion and inhalation exposure to BPA can induce testicular oxidative stress and apoptosis. This study aimed to investigate the protective effects and underlying mechanisms of Pfaffia glomerata (Pg), a perennial herb of the Amaranthaceae family, against BPA-induced reproductive system injury. Methods: Potential targets and molecular mechanisms were predicted through network pharmacology. Physiological indicators, histopathological changes, serum biochemical parameters, and Western blot analysis were used to systematically evaluate the ameliorative effects of Pg and elucidate its mechanisms. Results: Our network pharmacology analysis identified core targets of Pg in attenuating reproductive system injury, including PTPN11, PIK3CA, JAK2, PIK3R1, PDGFRB, and others. GO enrichment and KEGG pathway analysis indicated that these key targets primarily regulate steroid metabolism, enhance antioxidant capacity, and modulate signaling pathways such as PI3K-AKT, Fc epsilon RI, and cAMP. In vivo studies demonstrated that all Pg dose groups showed significant improvement in BPA-induced histopathological injury to testicular tissues. BPA exposure increased serum levels of follicle-stimulating hormone (FSH) while decreasing testosterone (T), estradiol (E2), and progesterone (PROG) levels. Furthermore, BPA elevated serum levels of the testicular marker enzymes acid phosphatase (ACP) and lactate dehydrogenase (LDH) but reduced alkaline phosphatase (ALP) levels; all these effects were significantly reversed with Pg treatment. Western blot results showed that compared with the model group, high-dose Pg significantly upregulated the expression of phosphorylated AKT (p-AKT), phosphorylated PI3K (p-PI3K), and Bcl-2, while downregulating Cleaved Caspase-3 and Bax. Conclusions: Our findings indicate that Pg may attenuate BPA-induced reproductive system injury by activating the PI3K/AKT signaling pathway, upregulating the anti-apoptotic protein Bcl-2, and inhibiting the activation of the apoptotic effector Caspase-3. The study provides a new theoretical basis for the development of novel natural drugs or health products. Full article

Background: The GLA:D^® program is an evidence-based intervention widely used in Western countries to improve knee function and exercise adherence among individuals with osteoarthritis. However, its application in postoperative total knee arthroplasty (TKA) populations is limited, particularly in Asia. This study evaluated two modified GLA:D^® interventions tailored to the Korean clinical environment. Methods: Patients who underwent TKA participated in one of two programs. The GLA:D-M group received therapist-supervised neuromuscular training with structured progression. The GLA:D-C group received a modified GLA:D^® program with additional lower-limb strengthening, primarily conducted as home-based exercise. Outcomes at 3 and 6 months included functional performance, isokinetic strength, gait speed, and psychosocial measures. Statistical significance, minimal clinically important difference (MCID), and effect sizes were used to assess clinical relevance. Results: Both groups improved; however, recovery patterns differed. GLA:D-M demonstrated statistically significant (p < 0.05) and clinically meaningful improvements in functional and psychosocial outcomes, exceeding MCID thresholds with large effect sizes. GLA:D-C showed significant gains in lower-limb strength, but many changes did not meet the MCID and did not consistently translate into higher-level functional recovery. These findings suggest that supervised neuromuscular training may facilitate more comprehensive recovery than home-based strengthening alone. Conclusions: Adapting the GLA:D^® program for TKA patients in a Korean clinical setting was feasible and beneficial. Additionally, the delivery method, particularly therapist supervision, played a vital role in maximizing outcomes. Both program content and delivery format should be considered in rehabilitation models. Larger, long-term studies are warranted to confirm these findings and explore broader clinical applications. Full article

The effective design and operation of hydraulic structures, particularly open channel spillways, are crucial for water resource management and flood risk reduction in dams. A clear understanding of flow properties, such as velocity fluctuations and discharge, across various depths is essential for optimizing performance. In this study, experimental analysis and numerical simulation using FLOW-3D were combined to investigate the hydraulic parameters of a scaled model of the Romaine IV spillway located in Quebec, Canada. Measurements focused on flow properties, including velocity fluctuations at various discharge rates in specific flow depths, at selected points along the spillway. The numerical model was assessed by reproducing experimental geometry, initial water levels, and boundary conditions, and through sensitivity analyses to ensure accurate flow representation. Comparisons of flow rates of 180, 240, and 340 L/s showed that while simulations with the renormalized group (RNG) turbulence model reliably predicted average velocities, they underestimated maximum values and overestimated minimum values, especially at higher discharges. The results highlight the difficulty of accurately capturing velocity extremes in turbulent flows and the need for further model refinement. This was evident from the 60% discrepancy in minimum velocities observed at the channel center. Despite these discrepancies, the study advances our understanding of spillway performance and identifies avenues to improve the accuracy of numerical modeling in hydraulic engineering. Full article

Background: Demographic factors such as education, sex, and age can significantly influence cognitive test performance, yet their impact on the Montreal Cognitive Assessment (MoCA) and Rey Complex Figure (CF) test has not been fully characterized in large, cognitively normal samples. Understanding these effects is critical for refining normative standards and improving the clinical interpretation of neuropsychological assessments. Methods: Data from 926 cognitively healthy adults (MoCA ≥ 24) were analyzed using supervised machine learning classifiers and complementary statistical models to identify the most predictive MoCA and CF features associated with education, sex, and age, while including race as a covariate. Feature importance analyses were conducted to quantify the relative contributions of accuracy-based and time-based measures after adjusting for demographic confounding. Results: Distinct patterns emerged across demographic groups. Higher educational attainment was associated with longer encoding times and improved recall performance, suggesting more deliberate encoding strategies. Sex differences were most apparent in the recall of visuospatial details and language-related subtests, with women showing relative advantages in fine detail reproduction and verbal fluency. Age-related differences were primarily reflected in slower task completion and reduced spatial memory accuracy. Conclusions: Leveraging one of the largest reported samples of cognitively healthy adults, this study demonstrates that education, sex, and age systematically influence MoCA and CF performance. These findings highlight the importance of incorporating demographic factors into normative frameworks to enhance diagnostic precision and the interpretability of cognitive assessments. Full article

In response to the issues of microcrack susceptibility, high brittleness, and unstable mechanical properties of desert sand recycled aggregate concrete (DSRAC), this study experimentally investigated the mechanical performance of DSRAC reinforced with hybrid steel–FERRO fibers. By testing macroscopic properties (compressive, splitting tensile, and flexural strengths) under different desert sand replacement ratios and fiber dosages, combined with microscopic analysis, the fiber-matrix interfacial behavior and toughening mechanism were clarified. The results showed that (1) DSRAC achieved optimal compressive strength when desert sand replaced 30% natural sand, with an obvious early strength enhancement; (2) both steel fibers and FERRO fibers independently improved DSRAC’s mechanical properties, while their hybrid combination (especially F0.15-S0.5 group) exhibited a superior synergistic strengthening effect, significantly outperforming single-fiber groups; (3) the established constitutive model accurately described the stress–strain response of hybrid fiber-reinforced DSRAC; (4) microscopic observations confirmed fibers inhibited crack propagation via bridging and stress dispersion, with hybrid fibers exerting multi-scale synergistic effects. This study provided theoretical–technical support for resource utilization of desert sand and recycled aggregates, and offered practical references for localized infrastructure materials (e.g., rural road subgrades and small-span culverts) in desert-rich regions and high-value reuse of construction waste in prefabricated components, advancing eco-friendly concrete in sustainable construction. Full article

A comprehensive analysis of key findings derived from density functional theory (DFT) studies reveals that current theoretical data on curcumin remain incomplete, underscoring the need for further computational investigation to achieve a more thorough understanding of its chemical and biological reactivity. This study addresses these gaps through four primary objectives: (i) determination of a complete set of thermodynamic descriptors and elucidation of the multi-step anti-radical mechanisms of the neutral, radical, anionic, and radical–anionic forms of curcumin; (ii) calculation of global chemical reactivity descriptors of curcumin in various solvent environments; (iii) theoretical reproduction of experimentally determined pK_a values for all active sites within the molecule; and (iv) examination of the effects of dispersion interactions and solvent polarity on the reactivity descriptors of keto–enol forms of curcumin. The results obtained provide enhanced insight into the molecular behavior of curcumin, facilitating improved predictions of its reactivity under diverse conditions. Moreover, the findings indicate a potential structural modification of the keto form of curcumin, involving the attachment of two 4-hydroxy-3-methoxyphenyl-prop-1-en-2-one moieties to the methylene group. The resulting modeled compound, referred to as di-curcumin, exhibits enhanced chemical reactivity and increased anti-radical potential. Full article

Background/Objectives: Fibromyalgia (FM) is a nociplastic pain disorder marked by altered central nervous system processing and abnormal sensory modulation. Diagnosis remains largely symptom-based and lacks objective biomarkers. Sensory modulation disorder (SMD)—impaired regulation of responses to non-noxious input—may represent a clinically relevant diagnostic dimension. This study aimed to estimate the prevalence/diagnostic value of SMD in FM, examine links with symptom severity and stress, and assess its potential for patient stratification. Methods: In this cross-sectional study, 182 adults were enrolled (104 FM; 78 controls). Standardized instruments included the Adolescent/Adult Sensory Profile (AASP), Fibromyalgia Impact Questionnaire (FIQ), and Perceived Stress Scale (PSS). Group comparisons, regression, and discriminant analyses evaluated SMD profiles. Results: Compared with controls, FM adults showed higher sensory sensitivity and avoidance (both p < 0.001), lower sensation seeking (p = 0.002), and modestly higher low registration (p = 0.027). Elevated SMD correlated with greater symptom severity and perceived stress. Stress significantly predicted FM’s impact (β = 0.57, p < 0.001). A discriminant model achieved 84% apparent in-sample accuracy for classifying FM severity from sensory/stress profiles. Conclusions: Sensory modulation abnormalities are highly prevalent in FM and show meaningful associations with symptom severity and stress, suggesting that SMD could represent a potential diagnostic dimension and stratification aid. These findings should be interpreted within an exploratory, cross-sectional design. Incorporating sensory modulation assessment into FM evaluation may improve diagnostic precision, reduce delays, and guide individualized management. Confirmation in larger longitudinal studies is warranted. Full article