Search Results (137)

UDP-Gal-β-1,4 galactosyltransferase-V (GalT-V) is a member of a large family of galactosyltransferases whose function is to transfer galactose from the nucleotide sugar UDP-galactose to a glycosphingolipid glucosylceramide, to generate lactosylceramide (LacCer). It also causes the N and O glycosylation of proteins in the Trans Golgi area. LacCer is a bioactive lipid second messenger that activates an “oxidative stress pathway”, leading to critical phenotypes, e.g., cell proliferation, migration angiogenesis, autophagy, and apoptosis. It also activates an “inflammatory pathway” that contributes to the progression of disease pathology. β-1,4-GalT-V gene expression is regulated by the binding of the transcription factor Sp-1, one of the most O-GlcNAcylated nuclear factors. This review elaborates the role of the Sp-1/GalT-V axis in disease phenotypes and therapeutic approaches targeting not only Sp-1 but also Notch-1, Wnt-1 frizzled, hedgehog, and β-catenin. Recent evidence suggests that β-1,4GalT-V may glycosylate Notch-1 and, thus, regulate a VEGF-independent angiogenic pathway, promoting glioma-like stem cell differentiation into endothelial cells, thus contributing to angiogenesis. These findings have significant implications for cancer and cardiovascular disease, as tumor vascularization often resumes aggressively following anti-VEGF therapy. Moreover, LacCer can induce angiogenesis independent of VEGF and its level are reported to be high in tumor tissues. Thus, targeting both VEGF-dependent and VEGF-independent pathways may offer novel therapeutic strategies. This review also presents an up-to-date therapeutic approach targeting the β-1,4-GalT-V interactome. In summary, the β-1,4-GalT-V interactome orchestrates a broad network of signaling pathways essential for maintaining cellular homeostasis. Conversely, its dysregulation can promote unchecked proliferation, angiogenesis, and inflammation, contributing to the initiation and progression of multiple diseases. Environmental factors and smoking can influence β-1,4-GalT-V expression and its interactome, whereas elevated β-1,4-GalT-V expression may serve as a diagnostic biomarker of colorectal cancer, inflammation—exacerbated by factors that may worsen pre-existing cancer malignancies, such as smoking and a Western diet—and atherosclerosis, amplifying disease progression. Increased β-1,4-GalT-V expression is frequently associated with tumor aggressiveness and chronic inflammation, underscoring its potential as both a biomarker and therapeutic target in colorectal and other β-1,4-GalT-V-driven cancers, as well as in cardiovascular and inflammatory diseases. Full article

Ventilation in subway and railway tunnels is a critical safety component, especially during fire emergencies, where effective smoke and heat management is essential for successful evacuation and firefighting efforts. The Subway Environmental Simulation (SES, Version 4.1) model is widely used for predicting airflow and thermal conditions during fire events, but its accuracy in real-world applications requires validation. This study compares SES predictions with experimental data from the Memorial Tunnel fire ventilation tests to evaluate its performance in simulating the effects of jet fans on longitudinal ventilation. The analysis focuses on SES’s ability to predict flow rate and temperature distributions. Results showed reasonable agreement between SES-predicted airflows and temperatures. However, SES tended to underpredict temperatures upstream and near the fire source, indicating a limitation in simulating thermal behavior close to the fire. These findings suggest that SES can be a reliable tool for tunnel ventilation design if certain safety margins, based on the error values identified in this study, are considered. Nonetheless, further improvements are necessary to enhance its accuracy, particularly in modeling heat transfer dynamics and the impact of fire-induced temperature changes. Future work should focus on conducting additional full-scale test validations and model refinements to improve SES’s predictive capabilities for fire safety planning. Full article

Background/Objectives: Health literacy plays a fundamental role in adolescents’ health-related decisions and behaviors. The aim of our study was to assess the level of health literacy among 16–17-year-old students in Southern Hungary and to examine the associations between sociodemographic characteristics and health behaviors. Methods: This cross-sectional quantitative study was conducted in the autumn of 2024 in Baranya and Somogy counties. A total of 133 students completed a self-administered questionnaire including sociodemographic variables and health behaviors. Health literacy was measured using the validated HELMA-H instrument. Statistical analysis included chi-square tests, t-tests, and ANOVA (p < 0.05). Results: Overall, 62.7% of the students demonstrated adequate, while 37.3% demonstrated inadequate levels of health literacy. No significant association was found between overall health literacy and sociodemographic variables; however, partial associations were observed on specific subscales. Boys reported better access to health information (p = 0.037), while children of mothers with higher educational attainment scored better in comprehension (p = 0.042) and appraisal (p = 0.036). In the case of the numeracy subscale, children of mothers with the lowest educational level showed significantly better results (p = 0.006). Students with higher health literacy levels were less likely to smoke or consume caffeine; however, a reverse trend was observed regarding alcohol consumption. Physical activity showed a positive association with healthier behaviors (p < 0.05). Discussion: The use of digital technologies, interactive learning strategies, and the involvement of family members—especially mothers—may support the development of health-conscious decision-making in adolescents. Consequently, health education programs should focus not only on knowledge transfer but also on fostering critical thinking and decision-making skills. Full article

Background: Prematurely born newborns with low birth weight constitute a group of patients who require special care from the first days of life. Prematurity and low birth weight affect about 13.4 million infants. Risk factors include placental disorders but also factors related to the mother, such as smoking, alcohol drinking, drug use, malnutrition, or certain diseases. It is imperative to educate women of reproductive age (15–49) about the basic factors influencing embryonic development, such as oral health, diet, medicine intake, and harmful habits. Even though most women are aware of the negative impact of harmful habits on the fetus, still too little attention is paid to oral health in pregnant women. Poor oral health may influence the well-being of the future mother, as well as of the child. Therefore, women of reproductive age and those who are pregnant must have adequate knowledge on this subject. The aim of this study was to assess the knowledge of Polish women of reproductive age (15–49) regarding oral health during pregnancy, including the impact of dental treatment, oral hygiene, and maternal oral conditions on pregnancy outcomes and the health of the newborn. Materials and Methods: This was a cross-sectional study of 508 women, in the reproductive age, whose age ranged from 18 to 49 years old. The surveys were conducted from April 2020 to November 2020. The questionnaire was originally developed based on the available literature and consisted of seven sections: basic information, general health and habits, pregnancy status and dental care, knowledge of treatment options during pregnancy, oral health status and its association with the risk of preterm birth, prematurity and the child’s oral health, and breastfeeding and oral development. Results: After excluding incomplete questionnaires, a total of 499 questionnaires were included in the analysis. Women participating in the study had a fairly good understanding of the impact of oral health on the fetus and the role of breastfeeding in the development of the stomatognathic system (from 50% to 70% correct answers). However, even though most respondents had completed higher education (344/68.94%), their knowledge of oral health, preterm birth, and low birth weight was very limited (including the impact of inflammation on the intrauterine development of the child or bacteria and transfer across the placenta). In these sections, the percentage of correct answers ranged from less than 20% to 50%. When analyzing knowledge by age, education, number of births, and place of residence, the highest levels of knowledge were observed among respondents with higher education, particularly those aged 27–32. Conclusions: Respondents had a fairly good understanding of the general impact of oral health during pregnancy and recognition of the importance of breastfeeding for infants. However, their knowledge about the impact of bacteria and inflammation in the mother’s oral cavity on prematurity and low birth weight was limited. Therefore, educating women of reproductive age and pregnant women on this topic is essential, as it may help reduce the adverse consequences of prematurity. Full article

Platelet mitochondria have recently been increasingly considered “co-principal” along with platelet growth factors to facilitate tissue regeneration in platelet-rich plasma therapy cooperatively. To develop a convenient method to test this potential, we examined mitochondrial transfer using a simple two-dimensional culture system. Living human platelets were prepared from PRP obtained from 12 non-smoking healthy male adults (age: 28–63 years) and suspended in medium. Platelet lysates were prepared from sonicated platelet suspensions in PBS. After treatment with ultraviolet-C irradiation, a mitochondrial respiration inhibitor, or a synchronized culture reagent, rat dental pulp-derived fibroblasts (RPC-C2A) were co-cultured with platelets or platelet lysates for 24 h. Mitochondrial transfer was evaluated by visualization using a fluorescent dye for mitochondria or an antibody against human mitochondria. Ultraviolet-C-irradiated cells substantially lost their viability, and treatment with living platelets, but not platelet lysates, significantly rescued the damaged fibroblasts. Fibroblast mitochondria appeared to increase after co-culture with resting platelets. Although more microparticles existed around the platelets on the fibroblast surface, the activated platelets did not show significant increases in any parameters of mitochondrial transfer. This simple co-culture system demonstrated mitochondrial transfer between xenogeneic cells, and this phenomenon should be considered as an additional implication in PRP therapy. Full article

During the cold metal transfer plus pulse (CMT+P) welding process of medium-thick plates, problems such as incomplete penetration (IP) and burn-through (BT) are prone to occur, and weld pool morphology is important information reflecting the penetration states. In order to acquire high-quality weld pool images under complex welding conditions, such as smoke and arc light, a welding monitoring system was designed. For the purpose of predicting weld penetration states, the improved Inception-ResNet prediction model was proposed. Squeeze-and-Excitation (SE) block was added after each Inception-ResNet block to further extract key feature information from weld pool images, increasing the weight of key features beneficial for predicting the penetration states. The model has been trained, validated, and tested. The results demonstrate that the improved model has an accuracy of over 96% in predicting penetration states of aluminum alloy medium-thick plates compared to the original model. The model was applied in welding experiments and achieved an accurate prediction. Full article

The inherent flammability and toxic smoke emission of epoxy resins (EPs) pose significant challenges to their advanced engineering applications. To address this limitation, we developed a novel flame-retardant additive through the organic modification of layered double hydroxides (LDHs) using a ternary MgAlLa hydrotalcite structure intercalated with phosphotungstic acid (PWA). This innovative design established a synergistic mechanism by combining the catalytic carbonization effect of lanthanum with the radical scavenging capability of PWA. The optimized MgAlLa-PWA/EP composite demonstrated remarkable flame retardancy and smoke suppression improvements, exhibiting 77.9% and 62.4% reductions in the peak heat release rate (pHRR) and total heat release (THR), respectively, compared to pure EP. Particularly noteworthy was the 72.6% decrease in total smoke release (TSR), accompanied by a significant elevation of the limiting oxygen index (LOI) value to 26.8% and achievement of UL-94 V-0 rating. Microstructural analysis revealed that the modified composite formed a continuous and uniform layer with increased density during combustion, effectively inhibiting oxygen exchange, smoke diffusion, and heat transfer. This study provides a novel strategy for designing multi-element synergistic LDHs additive for high-efficiency flame retardancy and smoke suppression of EP. Full article

Polylactic acid (PLA) is a biodegradable polymer served as thermal management material, and the heat transfer performance is closely related to its pore structure theoretically, but it is unclear how the structure affects its heat transfer. Therefore, a novel approach is proposed to address this issue by numerical simulations at low complexity and cost; three series of porous PLA are investigated with various structures in pore shape, size, and interval by fire dynamic simulation (FDS) and theoretical modeling, respectively. Meanwhile, the relationship between the hole structure and heat release rate (HRR) is developed by defining a new characteristic shape factor (Sc). It demonstrates that adjusting the pore structure of PLA significantly alters its heat transfer, evidenced by significant variations in HRR and smoke density. Additively, the approach for evaluating heat transfer is elucidated, encompassing the hole closure, vortex heat dissipation effect, and narrow variable speed effect. It provides some theoretical basis for designing porous thermal management materials. Full article

Background: Alpha-1 antitrypsin deficiency (AATD) is a genetic disorder associated with an increased risk of developing chronic obstructive pulmonary disease (COPD) with variable phenotypic expression among different genotypes. While the PiZZ genotype is well characterized, the clinical and structural progression of PiSZ individuals remains less defined. This study evaluates genotype-specific disease trajectories and the impact of augmentation therapy over a two-year follow-up. Methods: A prospective observational cohort study was conducted, including 74 AATD patients (41 PiSZ, 33 PiZZ), stratified by augmentation therapy status. Disease progression was assessed through lung function decline (forced expiratory volume in one second [FEV1], diffusing capacity for carbon monoxide [DLCO], carbon monoxide transfer coefficient [KCO]) and densitometric changes (15th percentile lung density [PD-15], percentage of lung voxels below −950 Hounsfield units [HU-950]). Mixed-effects models and multivariable regression analyses were performed to evaluate genotype-specific progression patterns and treatment effects. Results: Results: PiZZ individuals exhibited significantly greater annual decline in lung function and densitometric parameters compared to PiSZ individuals, with more pronounced loss in basal lung regions and with greater decline in advanced stages, in contrast to the PiSZ genotype, which showed greater progression in earlier stages. Augmentation therapy was associated with a significant reduction in PD-15 decline in both genotypes, with the greatest benefit observed in PiZZ patients and in those diagnosed within five years of disease onset. Smoking and frequent exacerbations were identified as independent risk factors for accelerated disease progression. Conclusions: PiZZ individuals experience a more aggressive disease trajectory than PiSZ individuals in the absence of treatment. Augmentation therapy effectively mitigates disease progression in both genotypes, with greater efficacy when initiated early. Smoking and frequent exacerbations were identified as independent risk factors for accelerated disease progression. These findings underscore the importance of genotype-specific monitoring and personalized therapeutic strategies in AATD to optimize clinical outcomes. Full article

The prevailing fire-resistant design of steel structures typically relies on the premise of localized heating, whereas the overall temperature increase resulting from the dispersion of hot smoke is frequently oversimplified. These theoretical simplifications may result in considerable structural safety risks. This research utilized the Transient Thermo-Mechanical Coupling Theory and developed a double-layer steel frame finite element model using ABAQUS 2023 software. The simulation of multi-physics field coupling involving smoke convection-radiation heat transfer and nonlinear structure response in fire situations was accomplished by establishing 24 sets of comparative conditions over three distinct premises. Upon comparing the conditions with the greatest displacement values across the three situations, it was concluded that when hot smoke is produced in the initial room, it commences diffusion into adjacent rooms both horizontally and vertically. In comparison to the scenario that disregards the dispersion of hot smoke, the displacement of the components escalated by 342.3%. The dispersion of hot smoke reveals that the displacement of components in the center room of the fire’s origin was 23.1% greater than in the corner room, while the displacement in the second-story room was 115.6% greater than in the first-story room. The use of fireproof coating markedly diminished component displacement in the context of hot smoke dispersion, achieving an 82.8% reduction in displacement among components in identical positions. The enhanced vulnerability model augmented the precision of forecasting the ongoing failure of steel frames by 29.1%. Full article

Tunnel fires pose significant challenges to public safety due to their rapid development and the confined nature of tunnel environments. Traditional fire detection systems often struggle with delayed response times and high false alarm rates, particularly in complex scenarios. This study proposes a lightweight hybrid deep learning (DL) model that integrates Convolutional Neural Networks (CNNs) for spatial feature extraction and Long Short-Term Memory (LSTM) networks for temporal analysis, offering an efficient and robust solution for real-time tunnel fire detection. Leveraging transfer learning, the model adapts to tunnel-specific fire scenarios with minimal training data, significantly improving its generalization capabilities. The lightweight architecture ensures computational efficiency, making it suitable for deployment in resource-constrained environments such as tunnels with limited processing capacity. The model was rigorously evaluated on datasets combining simulated and real-world fire scenarios. It achieved an accuracy of 92%, a precision of 89%, a recall of 90%, and an F1 score of 89.5%, outperforming state-of-the-art (SOTA) models in all key metrics. Furthermore, the model demonstrated resilience under varied environmental conditions, including high smoke density and sensor failures, maintaining reliable performance. This study highlights the potential of lightweight deep learning models in enhancing tunnel safety systems by providing accurate, fast, and dependable fire and smoke detection. Future work will extend the methodology to other critical infrastructures and optimize the model for broader applications. Full article

Smoking is a key determinant of chronic obstructive pulmonary disease (COPD) development in patients with the SZ genotype. Few studies have evaluated the impact of other factors associated with emphysema progression. Objectives: To evaluate the progression of lung function and densitometric parameters in PiSZ alpha-1 antitrypsin deficiency (AATD) patients, and to assess the impact of smoking, exacerbation frequency, severity and time since diagnosis. The study also explores correlations between functional and densitometric measures, as well as regional emphysema patterns. Methods: This two-year observational study included 31 PiSZ AATD patients stratified by time since diagnosis (<5 vs. ≥5 years), smoking status (current, former, and never smokers), and exacerbation frequency (<2 vs. ≥2 exacerbations/year). Functional [forced expiratory volume in 1 s (FEV1), carbon monoxide diffusion (DLCO), and carbon monoxide transfer coefficient (KCO)] and densitometric [15th percentile lung density (PD-15) and lung volume with density less than -950 Hounsfield Units (HU-950)] parameters were assessed at baseline and follow-up. Mixed-effects models evaluated disease progression, while correlation and regional analyses highlighted structural–functional relationships and spatial emphysema patterns. Results: Patients diagnosed <5 years previously exhibited faster PD-15 decline (−6.0 ± 1.4 HU/year) than those diagnosed ≥5 years previously (−5.1 ± 1.3 HU/year; p < 0.05). Current smokers showed the most pronounced deterioration in PD-15 (−7.1 ± 1.6 HU/year) and HU-950 (+0.8 ± 0.3% volume/year) versus never smokers (−4.6 ± 1.3 HU/year and +0.4 ± 0.2% volume/year; p < 0.05). Frequent and severe exacerbations, along with pulmonary-related hospitalizations, worsened structural decline, particularly in basal regions. Strong correlations between both PD-15 and HU-950 with FEV1, DLCO, and KCO were observed in advanced stages (≥5 years since diagnosis). Conclusions: This study underscores the pivotal role of densitometry in PiSZ AATD, highlighting its ability to detect early structural changes often missed by functional measures. These findings support integrating densitometry into clinical practice to guide personalized interventions and improve outcomes. Full article

Background/Objectives: Over the past 25 years, reconstructive techniques and patient management advancements have significantly improved outcomes in mangled lower extremity injuries. Functional results of limb salvage have been demonstrated to surpass those of primary amputations. Developments such as local fasciocutaneous flaps, vacuum-assisted closure, and hyperbaric oxygen therapy have enhanced the reconstructive ladder. Despite progress, the utility of the Mangled Extremity Severity Score (MESS) and Gustilo–Anderson classification remains debated, particularly in their prognostic value for limb salvage decisions. In the study, we aimed to evaluate the outcomes of optimizing mangled lower extremity reconstruction in 93 patients, focusing on their functional scores retrospectively. Methods: This retrospective study analyzed 93 patients treated for mangled lower extremities between January 2015 and October 2022. Patients were assessed for age, gender, injury location, MESSs, Gustilo–Anderson classifications, surgical methods, and functional outcomes using the Lower Extremity Functional Scale (LEFS). Surgical interventions included internal and external fixation, skin grafts, local flaps, muscle flaps, and free tissue transfer. LEFS scores were categorized into disability levels for functional evaluation. Correlations were drawn between LEFS and variables such as MESS, Gustilo–Anderson types, and nerve injuries. Results: Among the 93 patients, 16 had MESSs ≥ 7, and 77 had MESSs < 7. Reconstruction methods included local fasciocutaneous and muscle flaps (37 patients), free tissue transfer (29 patients), and skin grafting with vacuum-assisted closure (27 patients). Smoking was associated with delayed union and increased infection rates. LEFS scores were significantly lower in patients with MESSs ≥ 7, Gustilo grade 3C fractures, and tibial nerve injuries. Flap failures and a higher number of surgeries (>3) also correlated with poorer functional outcomes. The average soft tissue healing time was 18 days, and bone union time was 17 weeks. Conclusions: Lower extremity reconstruction demands precise surgical planning and execution, prioritizing functional restoration. MESSs and Gustilo–Anderson classifications provide practical frameworks but have limitations in predicting long-term functionality. Factors such as joint involvement, nerve injuries, and flap selection significantly influence outcomes. Smoking and delayed healing remain critical challenges. While free flaps are essential for complex defects, more straightforward methods yield better outcomes in suitable cases. LEFS emerged as a reliable tool. Full article

Controlling the simulated smoke flow field is important in the airworthiness verification experiment for the smoke detection system in aircraft cargo compartments to accurately replicate actual fire smoke. In existing studies, the unsteady adjustment performance of the actuator to the simulated smoke flow field has not been comprehensively evaluated, and the model-based closed-loop flow control method encounters the unmodeled dynamics of the complex turbulent flow field. To solve the aforementioned problems, this study first uses the system identification method to obtain transfer function models for different actuation modes. Moreover, the transient adjustment capabilities of different actuation modes for the simulated smoke flow field are thoroughly evaluated. Then, an adaptive flow control law based on a radial basis function neural network is designed based on the selected actuating mode. Furthermore, closed-loop control experiments based on the adaptive control law are performed. The root locus of the transfer functions for two different actuation modes are compared, which reveals that adjusting the flow rate of simulated smoke exhibits a better stability margin than the actuation mode that regulates the upward momentum of simulated smoke. The experimental results in a full-scale mock-up of an aircraft cargo compartment demonstrate that the designed control law realizes dynamic tracking control with the unsteady concentration of actual fire smoke as the control target. Compared with that of PID control, the root mean square error of the control system is reduced by more than 40%. The simulated smoke under the closed-loop control obtains a light-transmission response equivalent to that of the actual fire smoke within a 5% error margin. The proposed closed-loop adaptive flow control method for simulated smoke approximates the unsteady process of actual fire smoke. It provides technical support for the replacement of actual fire smoke in the airworthiness verification experiment of smoke detection in aircraft cargo compartments. Full article

Fire detection presents considerable challenges due to the destructive and unpredictable characteristics of fires. These difficulties are amplified by the small size and low-resolution nature of fire and smoke targets in images captured from a distance, making it hard for models to extract relevant features. To address this, we introduce a novel method for small-target fire and smoke detection named YOLOv7scb. This approach incorporates two key improvements to the YOLOv7 framework: the use of space-to-depth convolution (SPD-Conv) and C3 modules, enhancing the model’s ability to extract features from small targets effectively. Additionally, a weighted bidirectional feature pyramid network (BiFPN) is integrated into the feature-extraction network to merge features across scales efficiently without increasing the model’s complexity. We also replace the conventional complete intersection over union (CIoU) loss function with Focal-CIoU, which reduces the degrees of freedom in the loss function and improves the model’s robustness. Given the limited size of the initial fire and smoke dataset, a transfer-learning strategy is applied during training. Experimental results demonstrate that our proposed model surpasses others in metrics such as precision and recall. Notably, it achieves a precision of 98.8% for small-target flame detection and 90.6% for small-target smoke detection. These findings underscore the model’s effectiveness and its broad potential for fire detection and mitigation applications. Full article