Search Results (15,157)

New compostable materials have been developed to replace single-use soft materials such as polyurethane foams (PUR). To this end, eco-friendly systems have been formulated on the basis of agar gels prepared in mixed solvent (glycerol/water) to meet specifications, i.e., stiffness of several hundred kPa, reasonable extensibility, and good stability when exposed to open air. While the addition of glycerol slows down gelation kinetics, mechanical properties are improved up to a glycerol content of 80 wt%, with enhanced extensibility of the gels while maintaining high Young’s moduli. Swelling analyses of mixed gels, in water or pure glycerol, demonstrate the preservation of an energetic network, with no change in volume, in pure water and the transition towards an entropic network in glycerol related to the partial dissociation of helix bundles. Dimensional and mechanical analysis of gels aged in an open atmosphere at room temperature shows that the hygroscopic character of glycerol enables sufficient water retention to maintain the physical network, with antagonistic effects linked to relative increases in glycerol, which tends to weaken the network, and agar, which on the contrary strengthens it. Complementary analyses carried out on aged agar gels formulated with an initial glycerol/water mass composition of 60/40, the most suitable for the targeted development, enabled the comparison of the properties of agar gels favorably with those of PURs and verified their stability during long-term storage, as well as their non-toxicity and compostability. Full article

Background and Objectives: Speech sound disorders, particularly dislalia (DIS), often stem from multifactorial anatomical, functional, and emotional causes during child development. Early identification of risk factors can improve therapy outcomes and prevent long-term communicative and social impairments. This study aimed to assess the relationship between structural (orofacial anomalies, dental arch morphology, and gonial angle (GA)), emotional, and therapeutic variables as predictors of DIS and its subtypes in children aged 5–12 years. Materials and Methods: A cross-sectional observational study was conducted on 121 pediatric subjects (58 boys; 63 girls; median age 7.5 years) using clinical examination, standardized speech assessments, emotional-behavioral questionnaires, and radiological imaging(GA measurement). Associations between DIS types, TMJ function, anatomical variation, and therapy outcomes were analyzed using chi-square tests (χ²), odds ratios (ORs), and 95% confidence intervals (CIs). Results: Cleft-type (OR = 21.43; p = 0.003), asymmetrical (OR = 14.66; p = 0.004), and crossbite arches (OR = 6.43; p = 0.013) significantly predicted DIS. A GA > 130° and <120° trended toward increased speech and motor dysfunction (OR = 4.67; p = 0.086). Emotional dysregulation (ED) moderately increased the functional temporomandibular joint dysfunction (FTMJD) risk (OR = 2.26; p = 0.060). Early therapy initiation (<7 years) and FTMDJ normalization were consistently associated with superior speech improvement outcomes (OR = 3.10 and 2.40; p < 0.01). Conclusions: DIS is strongly impacted by structural craniofacial anomalies, particularly cleft-type arches and severe jaw angle deviations. Our findings provide evidence that preliminary personalized approaches and emotional regulation may be beneficial for improving treatment outcomes. These exploratory associations support the rationale for interdisciplinary screening in pediatric populations, but confirmation in multicentric and longitudinal studies is needed. Full article

Background/Objectives: Cardiovascular disease remains a leading cause of death worldwide, with chest pain often serving as an initial reason for emergency visits. However, the severity of chest pain does not necessarily correlate with the severity of myocardial infarction. Facial expressions are an essential medium to convey the intensity of pain, particularly in patients experiencing speech difficulties. Automating the recognition of facial pain expression may therefore provide an auxiliary tool for monitoring chest pain without replacing clinical diagnosis. Methods: Using streaming technology, the system captures real-time facial expressions and classifies pain levels using a deep learning framework. The PSPI scores were incorporated with the YOLO models to ensure precise classification. Through extensive fine-tuning, we compare the performance of YOLO-series models, evaluating both computational efficiency and diagnostic accuracy rather than focusing solely on accuracy or processing time. Results: The custom YOLOv4 model demonstrated superior performance in pain level recognition, achieving a precision of 97% and the fastest training time. The system integrates a web-based interface with color-coded pain indicators, which can be deployed on smartphones and laptops for flexible use in healthcare settings. Conclusions: This study demonstrates the potential of automating pain assessment based on facial expressions to assist healthcare professionals in observing patient discomfort. Importantly, the approach does not infer the underlying cause of myocardial infarction. Future work will incorporate clinical metadata and a lightweight edge computing model to enable real-time pain monitoring in diverse care environments, which may support patient monitoring and assist in clinical observation. Full article

N-Acetylaspartate (NAA) plays a critical role in neuronal function, metabolism, and neurotransmitter release. Evidence from magnetic resonance spectroscopy indicates diminished NAA levels in individuals diagnosed with schizophrenia and bipolar disorder; however, this process is time-consuming, expensive, and not viable in individuals with acute illness exacerbation. In order to address these limitations, we developed a novel method for the quantification of plasma NAA based on tandem mass spectrometry coupled to liquid chromatography (HPLC-MS). Our study aimed to assess whether plasma NAA levels change during hospitalization and whether these changes correlate with symptomatic improvement in patients experiencing acute psychiatric exacerbations. We recruited 31 inpatients with acute symptoms of psychotic (48.39%) and/or mood (51.61%) disorders. Symptom severity was assessed using the brief psychiatric rating scale, Positive and Negative Syndrome Scale, and Clinical Global Impression Scale. Plasma NAA was measured at admission and discharge. We observed a significant decrease in symptom scores and a significant increase in plasma NAA levels between admission and discharge. The initiation of therapy with lithium salts significantly influenced plasma NAA changes. Our study shows that our HPLC-MS method can detect clinically meaningful changes in plasma NAA levels. These results might lay the groundwork for future research exploring the relationship between plasma NAA levels and cerebral NAA levels measured by MRS. Full article

Background: Supply chains in pharmaceutical industry encounter constant challenges in balancing the availability of medicine with cost efficiency, particularly in developing regions with limited storage capacity, as regulatory constraints increase operational complexity. Methods: This research focuses on developing a multi-product, multi-period inventory planning model designed to optimize the supply process for a pharmacy located in Barranquilla, Colombia. The methodology involves conducting field studies within the pharmaceutical sector, which includes regular visits to pharmacies, interaction with employees, and analysis of historical data collected over a 16-month period. Results: The primary goal is to minimize costs while ensuring that products remain available to customers, considering various internal and external factors. Several scenarios will be examined to evaluate different alternatives for enhancing the supply process. Initial findings suggest that the proposed model could reduce inventory planning costs by approximately 15.78% by classifying antibiotics, which in turn leads to better resource utilization and improved order management. Conclusions: The proposed model minimizes the inventory planning costs associated with antibiotic management, ultimately leading to improved resource utilization and more accurate order management. Full article

The SARS-CoV-2 spike protein, through its receptor binding domain (S1-RBD), binds to the angiotensin-converting enzyme 2 (ACE2) receptor on the host cell membrane, leading to viral infection. Several mutations in S1-RBD in SARS-CoV-2 variants are known to enhance infection through an increased affinity for ACE2. While many reports are available describing the SARS-CoV-2 infection mechanism, there is a dearth of studies towards understanding the initial interaction of the S1-RBD with ACE2 on living host cells and the role of endocytosis and cytoskeleton in the process. Here, we reconstituted the interaction between S1-RBD- and ACE2-expressing host cells in a hybrid live cell-supported lipid bilayer (SLB) platform enabling live monitoring of the interaction between S1-RBD on SLBs and the ACE2 receptor on living cells and showed that cells depleted Omicron S1-RBD from SLB corrals, likely through endocytosis. Specifically, interaction of living host cells with S1-RBD-functionalized SLB substrates resulted in the enrichment of S1-RBD and ACE2 at the cell–SLB interface. Interaction of host cells with wild type (WT), Omicron, and Omicron Revertant S1-RBD functionalized on micron-scale SLB corrals, which mimic viral membranes but are flat, also resulted in their enrichment. However, cells interacting with Omicron S1-RBD revealed a depletion of the protein from many corrals, which was generally not observed with the WT S1-RBD and was reduced with the Omicron Revertant, which contains the Q493R mutation reversion, S1-RBD. Further, S1-RBD depletion coincided with the localization of the early endosomal marker EEA1. Importantly, treatment of cells with the clathrin inhibitor, pitstop 2, but not the myosin II inhibitor, blebbistatin, significantly reduced Omicron S1-RBD depletion. Collectively, these observations suggest that the SARS-CoV-2 Omicron variant has evolved, through mutations in its S1-RBD, to take advantage of the cellular endocytic pathway for enhanced infection, which is not observed with the parental SARS-CoV-2 and appears to be lost in the Omicron Revertant variant. Additionally, these results underscore the significance of the hybrid live cell–SLB platform in studying SARS-CoV-2 S1-RBD-ACE2 interaction and the potential impact of mutations in the S1-RBD on adapting to a specific cellular entry mechanism. Full article

Chronic wounds (CWs) represent a growing global health concern with profound clinical and socioeconomic implications. Studies indicate that approximately 15% of CWs remain unhealed one year after the initial treatment. At the same time, it is assumed that from 1% to 2% of the population of developed countries will suffer from chronic wounds during their lifetime. CWs severely impair patients’ quality of life. Current therapies (compression bandages, antibiotics, hyperbaric oxygen, and skin grafts) face limitations, including toxicity, contraindications, inefficacy in patients with comorbidities like diabetes, and high cost. Biological nanoparticles (BNPs), particularly extracellular vesicles (EVs), emerge as transformative solutions due to their innate biocompatibility, targeted biodistribution, and multifunctional regenerative properties. This review examines the mechanisms by which BNPs promote CW healing and drug delivery. Innovative BNP delivery platforms (chitosan hydrogels, alginate films) are evaluated, enabling sustained release and responsiveness to the wound microenvironment. Clinical advances, including exosome-laden hydrogels that accelerate healing in diabetic ulcers, underscore BNPs’ potential to overcome conventional therapy limitations. By addressing the challenges of both pathophysiological complexity and healthcare system burden, BNPs demonstrate the potential to improve patient outcomes in the management of chronic wounds. Full article

Rolling contact fatigue (RCF) and wear are the primary types of damage found in rails and wheels, and these often compete with each other. This paper presents a comprehensive review of studies on RCF and wear of rails and wheels, focusing on their competition. First, RCF and wear in actual rails and wheels are discussed. Next, theory and models for RCF cracks are presented—from crack initiation, through short and long crack growth, to crack branching and branch crack growth. Then, different wear forms, wear regimes, and their theories and models are introduced. Several studies analyzing the competition between RCF and wear are discussed. Finally, current gaps or problems of the studies on RCF and wear of rails and wheels are identified, and recommendations for future work are provided. This review aims to assist researchers who investigate and address the problems associated with RCF and wear of rails and wheels. Full article

We propose State-DynAttn, a hybrid architecture for robust air traffic flow prediction under weather disruptions, which integrates state-space models (SSMs) with dynamic graph attention to address the challenges of long-range dependency modeling and adaptive spatial–temporal relationship learning. The increasing complexity of air traffic systems, exacerbated by unpredictable weather events, demands methods that can simultaneously capture global temporal patterns and localized disruptions; existing approaches often struggle to balance these requirements efficiently. The proposed method employs two parallel branches: an SSM branch for continuous-time recurrent modeling of long-range dependencies with linear complexity, and a dynamic graph attention branch that adaptively computes node-pair weights while incorporating weather severity features through sparsification strategies for scalability. These branches are fused via a data-dependent gating mechanism, enabling the model to dynamically prioritize either global temporal dynamics or localized spatial interactions based on input conditions. Moreover, the architecture leverages memory-efficient attention computation and HiPPO initialization to ensure stable training and inference. Experiments on real-world air traffic datasets demonstrate that State-DynAttn outperforms existing baselines in prediction accuracy and robustness, particularly under severe weather scenarios. The framework’s ability to handle both gradual traffic evolution and abrupt disruption-induced changes makes it suitable for real-world deployment in air traffic management systems. Furthermore, the design principles of State-DynAttn can be extended to other spatiotemporal prediction tasks where long-range dependencies and dynamic relational structures coexist. This work contributes a principled approach to hybridizing state-space models with graph-based attention, offering insights into the trade-offs between computational efficiency and modeling flexibility in complex dynamical systems. Full article

Joint connections are critical to the overall performance of prefabricated structures. This paper proposes a novel reverse-rotation locking sleeve connection method, designed to ensure the safety of joint engineering while optimizing construction processes, improving operational efficiency, and endowing the joints with excellent seismic energy dissipation performance. To evaluate the performance of this connection method, quasi-static tests under displacement-controlled lateral loading were designed and conducted on three reinforced concrete column specimens (Specimen A: conventional reinforcement–cast-in-place monolithic; Specimen B: conventional reinforcement–reverse-rotation locking sleeve connected; Specimen C: enhanced reinforcement–reverse-rotation locking sleeve connected). The failure modes, hysteretic characteristics, skeleton curves, ductility, energy dissipation capacity, load-bearing capacity, and stiffness degradation patterns of the specimens were systematically examined. The results indicate that Specimen B exhibited the most severe damage extent, while Specimen A demonstrated the best integrity; in contrast, Specimen B showed significant and rapid degradation in energy dissipation capacity during the intermediate-to-late stages of testing; the hysteretic curves of Specimens B and C were full in shape, without obvious yield plateaus; the skeleton curves of all specimens exhibited S-shaped characteristics, and the peak loads of Specimens A and C corresponded to a lateral displacement of 21 mm, while that of Specimen B corresponded to a lateral displacement of 28 mm; compared to the cast-in-place monolithic Specimen A, the reverse-rotation locking sleeve–connected Specimens B and C showed increases in ultimate load under positive cyclic loading by 18.7% and 5.5%, respectively, and under negative cyclic loading by 40.8% and 2.0%, respectively; the ductility coefficients of all three specimens met the code requirement, being greater than 3.0 (Specimen A: 5.13; Specimen B: 3.56; Specimen C: 5.66), with Specimen C exhibiting a 10.3% improvement over Specimen A, indicating that the reverse-rotation locking sleeve–connected specimens possess favorable ductile performance; analysis revealed that the equivalent viscous damping coefficient of Specimen C was approximately 0.06 higher than that of Specimen A, meaning Specimen C had superior energy dissipation capacity compared to Specimen A, confirming that the reverse-rotation locking sleeve connection can effectively absorb seismic energy and enhance the seismic and energy dissipation characteristics of the specimens. The load-bearing capacity degradation coefficients of all specimens fluctuated between 0.83 and 1.01, showing an initial stable phase followed by a gradual declining trend; the stiffness degradation coefficients exhibited rapid initial decline, followed by a deceleration in the attenuation rate, and eventual stabilization. This indicates that the reverse-rotation locking sleeve-connected specimens can maintain relatively stable strength levels and favorable seismic performance during the plastic deformation stage. Full article

Chinese lacquer (urushi), a traditional East Asian coating material, has been used for more than 7000 years due to its durability, gloss, and cultural significance. However, its long-term stability under natural light remains insufficiently studied, especially regarding the role of mineral pigments in modulating photoaging behavior. In this study, three traditional lacquer coatings pigmented with cinnabar (HgS), orpiment (As₂S₃), and lapis lazuli were subjected to natural light aging for nine weeks. Colorimetric analysis revealed rapid chromatic changes during the initial stage of exposure, followed by slower transformations, with cinnabar-based red lacquer showing superior stability compared to orpiment- and lapis-based coatings. Gloss measurements and surface roughness analyses demonstrated a strong negative correlation, with yellow lacquer exhibiting the most severe gloss loss (≈30%) and roughness increase (≈89%), consistent with scanning electron microscopy observations of microcracking and surface deterioration. Fourier-transform infrared spectroscopy (FTIR) indicated pigment-dependent oxidative degradation, characterized by intensified carbonyl and aromatic C=C bands. Collectively, the results confirm that mineral pigments strongly influence the optical, chemical, and structural stability of lacquer coatings. From a conservation perspective, cinnabar-based lacquers exhibit higher resilience, whereas orpiment- and lapis-colored coatings are highly vulnerable, underscoring the need for pigment-specific preservation strategies for lacquerware cultural heritage. Full article

Background/Objectives: Severe radiation-induced mucositis (RIM) is the most distressing acute side effect experienced by oropharyngeal squamous cell carcinoma (OPSCC) patients during chemo-radiotherapy (CRT), with a prevalence between 40 and 68%. RIM severity exhibits a multifactorial etiology that remains unclear. We aimed to analyze nutritional and morphofunctional predictive factors for severe RIM in OPSCC patients undergoing CRT. Methods: A prospective cohort study was conducted. Global Leadership Initiative on Malnutrition (GLIM) criteria, bioelectrical impedance vector analysis (BIVA), functional assessment and dosimetric analysis were performed prior to radiotherapy. Results: Eighty-two patients were analyzed. Severe RIM affected 46.3% of patients. Severe malnutrition according to GLIM (p = 0.011), prolonged Timed Up and Go (TUG) test (p = 0.025) and larger PTV54 volume (p = 0.049) were independent predictive factors for severe RIM, while higher fat-free mass (FFM) (p = 0.006) showed a protective effect. Conclusions: These findings highlight the importance of a comprehensive early nutritional assessment for accurately identifying patients at a higher risk of severe RIM. Full article

This long-term observational study aimed to define the spectrum of genetic variation in a congenital hypothyroidism (CH) cohort and investigate the correlations between specific genotypes and clinical phenotypes, including treatment requirements and outcomes. genes and clinical phenotypes. We analyzed the maintenance dose of L-thyroxine (L-T4) at 6, 12, 18, and 24 months, alongside clinical outcomes after 3 years. Data were collected from the Neonatal Disease Screening Center at our hospital between January 2011 and March 2024. Of 247 patients with confirmed CH, 119 had available genetic testing and complete clinical information. The genetic positivity rate was 56.3% (67/119). DUOX2 was the most frequently mutated gene (28.57%), followed by TPO, TG, and TSHR. Phenotypic correlation analysis revealed that patients with DUOX2 variants had significantly lower initial screening TSH levels and required lower L-T4 maintenance doses at 12 months compared to those with TPO or TSHR variants. Patients with TPO and TSHR variants exhibited more severe clinical phenotypes and a higher prevalence of thyroid enlargement on ultrasound. Notably, no significant differences in biochemical data, L-T4 doses, or clinical outcomes were observed between patients with monoallelic and biallelic DUOX2 variations, or among the negative, monogenic, and oligogenic variation groups. This study establishes a high genetic diagnostic yield for CH in the studied cohort, with DUOX2 as the predominant genetic etiology. The findings demonstrate significant genotype–phenotype correlations, where variations in different genes are associated with distinct biochemical severities and treatment demands. Crucially, the lack of correlation between the number of affected DUOX2 alleles and disease severity highlights the complex genetic and phenotypic heterogeneity of CH. These results provide valuable insights for the precise management and prognostic counseling of patients with CH. Full article

Background/Objective: Tear hyperosmolarity is the main triggering factor in the immunopathogenesis of dry eye disease (DED). Tear osmolarity is known as the relevant metric to evaluate DED severity; however, measuring tear osmolarity after slit lamp examination (SLE) is known as a contraindication due to variability. In this study, we investigated the effects of SLE and fluorescein staining (FS) on the variabilities of tear osmolarity. Methods: In this prospective observational study sixty-five patients were enrolled in the study, comprising 31 healthy controls and 34 DED patients. The tear osmolarity was measured in the right eye using the TearLab^® system. The initial measurements were performed to establish baseline values before SLE, and additional measurements were performed after 20 s of SLE and followed by 20 s of SLE+FS. There were five-minute intervals between measurements. A correlation analysis was performed between OSDI score, tear film break-up time (TBUT), and tear osmolarity. A linear mixed-effects model was also applied to account for repeated measures and inter-subject variability. Results: The mean ages of the control and DED group were 31.3 ± 11.5 and 50.5 ± 15.5 years. Increased tear osmolarity was significantly associated with greater OSDI score and lower TBUT only in DED patients, but not in normal controls (OSDI:R = 0.378/p = 0.030, TBUT:R = −0.543/p = 0.011). The mean tear osmolarities in the normal controls were 298.3 ± 11.3, 299.1 ± 13.3, and 297.0 ± 12.6 mOsm/L at baseline (group 1), after SLE (group 2), and after SLE+FS (group 3), respectively, with no significant difference (p = 0.379). However, there was a significant difference in the tear osmolarities of the three groups in the DED patients (296.1 ± 11.5, 296.5 ± 11.0, and 291.2 ± 11.3 mOsm/L for groups 1–3, respectively/p < 0.001). The tear osmolarity of group 3 was significantly lower than those of groups 1 and 2 in the DED patients (p = 0.010/0.016). After FS, the mean tear osmolarity decreased by 4.9 ± 9.2 mOsm compared to the baseline in DED group. Conclusions: Tear osmolarity was only decreased in DED patients after SLE+FS, whereas it was unaffected in normal control subjects. Increased tear osmolarity in only DED patients correlated with increased symptom scores and decreased TBUT. These fluctuations in tear osmolarity reflect compromised tear film homeostasis in DED, highlighting the need to contextualize osmolarity data with clinical DED parameters. Full article

Closed-globe blunt ocular trauma may lead to severe ophthalmic complications, including intraocular hemorrhages, traumatic cataract, and retinopathy, the management of which remains a significant clinical challenge. We report the case of a 55-year-old male who, 15 years after right-eye trauma and unsuccessful conservative therapy, underwent surgical treatment using multistage vitreoretinal procedures. Despite an initially poor functional prognosis, a marked improvement in visual acuity was achieved, from 2.0 logMAR at baseline to 0.52 logMAR after completion of treatment. Imaging (OCT, B-scan ultrasonography) confirmed complete retinal attachment and the absence of active intra- or subretinal bleeding. This case demonstrates that, even after a long interval following trauma, vitreoretinal surgical interventions may lead to partial restoration of visual function and stabilization of ocular anatomy, underscoring the importance of individualized assessment of surgical indications in chronic post-traumatic retinal disorders. Full article