Search Results (25)

Heart failure (HF) is a clinical syndrome characterized by structural or functional cardiac abnormalities that impair ventricular filling or ejection, leading to inadequate systemic perfusion and elevated intracardiac pressures. Current epidemiological estimations declare approximately 26 million patients affected worldwide are living with HF. While ischemic heart disease remains the primary etiology, there is a wide range of behavioural factors that significantly influence disease onset and progression. This review focuses on the evidence for established risk factors, including smoking, excessive alcohol consumption, obesity, physical inactivity, poor diet, sleep disorders, and psychological stress. Furthermore, we discuss other novel determinants such as electronic nicotine delivery systems (ENDS), cannabis, high-dose caffeine, and psychostimulants. The basic mechanistic pathways, including endothelial dysfunction, oxidative stress, neurohormonal activation, and direct myocardial toxicity, are also pointed out and reviewed in this paper. The aim of this study is to integrate epidemiological data with pathophysiological insights to identify priority targets for primary prevention and highlight areas for future research. Full article

Background: As a fundamental component of general health, oral health is of significant global concern, with the global burden of dental diseases continuing to rise. Dentists are expected not only to provide clinical care but also to model healthy behaviours and promote oral health through education and advocacy. The knowledge, attitudes and practices of dental students—which represent critical elements of their professional development—play a pivotal role in shaping their future clinical behaviour. However, the extant literature suggests considerable variability in these domains, thus indicating that dental students do not always demonstrate the exemplary oral health practices expected of them. Objectives: The objective of the preliminary study was to assess the oral health practices, utilisation of preventive care, and factors influencing the oral health status of dental students at the Medical University of Plovdiv. Methods: A cross-sectional study was conducted among 138 first- to fifth-year dental students. The study utilised a structured, validated, adapted WHO questionnaire and a clinical examination based on the WHO Basic Oral Health Survey criteria. A comprehensive data set was collected, encompassing sociodemographic characteristics, oral hygiene behaviours, lifestyle habits, and DMFT scores. Results: The utilisation of preventative dental care was found to be high, with 73.2% of the student population reporting a dental visit within the previous six months. This tendency was found to be particularly pronounced among female students, who exhibited a significantly higher frequency of such visits. The prevalence of smoking was found to be significant, with 45.3% of the population reporting current smoking habits. The mean DMFT score was 3.33 (SD 3.13), predominantly driven by filled teeth. The present study found residence to be a significant factor associated with DMFT (p = 0.010). Specifically, rural students exhibited higher scores compared to their urban counterparts. Despite the tendency of smokers and those who brush less frequently to exhibit higher DMFT values, no statistically significant associations were identified regarding toothbrushing frequency, smoking, alcohol consumption, or dental visit frequency. Conclusions: The present study demonstrates that, despite the high utilisation of preventive dental care among dental students, notable disparities in oral health outcomes persist. Residence was identified as the strongest associated factor, with students from rural areas exhibiting substantially higher DMFT scores. Overall, the findings underscore the need for stronger lifestyle-focused education and targeted interventions to better prepare future oral health professionals to promote effective preventive care. Full article

This paper constructs a numerical simulation model for the fire and fire-fighting system of an all-electric vehicle ro-ro passenger ship to study the influence of fire characteristics and fire-fighting system layout parameters on the fire-extinguishing system. The simulation results show that the fire can spread to the upper deck within 52 s, and the smoke will fill the main deck within 57 s. The study found that the battery capacity has a super-linear relationship with the fire hazard, and the fire thermal spread radius of a 240 Ah battery can reach 3.5 m. The high-expansion foam system has a low applicability in quickly suppressing battery fires due to its response delay and limited cooling capacity for deep-seated fires; the fire-extinguishing efficiency of fine water mist has spatial dependence: 800 µm droplets achieve effective cooling in the core area of the fire source with stronger penetrating power, while 200 µm droplets show better environmental cooling ability in the surrounding area; at the same time, the large-angle nozzles with an angle of 80–120° have a wider coverage range and perform better in overall temperature control and smoke containment than small-angle nozzles. The study also verified the effectiveness of fire curtains in forming fire compartments through physical isolation, which can reduce the heat radiation range by approximately 3 m. This research provides an innovative solution for improving the fire safety level of transporting all-electric vehicles on ro-ro passenger ships. Full article

Regulatory air pollution monitoring is performed using a sparse monitoring network designed to provide background concentrations of pollutants but may miss small area variations due to local emission sources. Low-cost air pollution sensors operated by trained citizen scientists provide an opportunity to fill this gap. We describe the development and implementation of an air pollution monitoring and community engagement plan in response to resident concerns regarding excessive smoke production from a neighborhood restaurant. Particulate matter (PM_2.5) was measured using a low-cost, portable sensor. When cooking was taking place, the highest PM_2.5 readings were within 50 m of the source (mean PM_2.5 36.9 µg/m³) versus greater than 50 m away (mean PM_2.5 13.0 µg/m³). Sharing results with local government officials did not result in any action to address the source of the smoke emissions, due to lack of jurisdiction. A review of air pollution regulations across the United States indicated that only seven states regulate food cookers and six states specifically exempted cookers from air pollution regulations. Concerns about the smoke were communicated with the restaurant owner who eventually changed the cooking fuel. Following this change, less smoke was observed from the restaurant and PM_2.5 measurements were reduced to background levels. Although current environmental health regulations may not protect residents living near sources of food cooker-based sources of PM_2.5, community engagement shows promise in addressing these emissions. Full article

In order to achieve the objective of the work—an experimental study of the capabilities of the acoustic method for extinguishing organic compounds and for ensuring environmental monitoring—the effect of the combustion of various polymers on the acoustic parameters of the medium is considered. The negative effect of the combustion of organic substances on the medium is noted. The features of the use of fire extinguishing agents are analyzed, and it is noted that the acoustic method is a promising, inexpensive, and environmentally friendly approach for use in extinguishing fires. The ideas about the capabilities of this method using the combustion of various polymers were further developed, which is the novelty of the work. As the main results, it is proposed to use the angle of incidence, concentration of suspended particles, temperature, and wave resistance of the environment as special correction factors for acoustic sensors when monitoring in a smoky space. The possibility of using the combustion parameters of organic compounds to determine the properties of acoustic waves in a smoke-filled area is shown. The perspective of implementing the results obtained in the practice of fire prevention and liquidation was observed to increase the efficiency of fire extinguishing and increase the safety of the population and personnel of special services. The proposed approach can become part of the ecological and economic innovations of municipal communities and national strategies to achieve the goals of sustainable development. Full article

It is of great significance to effectively identify the flame-burning state of cement rotary kilns to optimize the calcination process and ensure the quality of cement. However, high-temperature and smoke-filled environments bring about difficulties with respect to accurate feature extraction and data acquisition. To address these challenges, this paper proposes a novel approach. First, an improved denoising diffusion probability model (RE-DDPM) is proposed. By applying a mask to the burning area and mixing it with the actual image in the denoising process, local diversity generation in the image was realized, and the problem of limited and uneven data was solved. Secondly, this article proposes the DAF-FasterNet model, which incorporates a deformable attention mechanism (DAS) and replaces the ReLU activation function with FReLU so that it can better focus on key flame features and extract finer spatial details. The RE-DDPM method exhibits faster convergence and lower FID scores, indicating that the generated images are more realistic. DAF-FasterNet achieves 98.9% training accuracy, 98.1% test accuracy, and a 22.3 ms delay, making it superior to existing methods in flame state recognition. Full article

Chronic obstructive pulmonary disease (COPD) is a debilitating lung disease characterized by chronic airflow limitation and persistent respiratory symptoms. It is a major cause of morbidity and mortality worldwide, significantly impacting healthcare systems with considerable socioeconomic consequences. The main risk factors include exposure to tobacco smoke, environmental pollutants, occupational dust, and genetic factors such as alpha-1 antitrypsin deficiency. COPD is often associated with extrapulmonary comorbidities, particularly psychiatric disorders like depression and anxiety, which worsen patients’ quality of life and prognosis. The prevalence of these disorders in patients with COPD varies significantly but is always higher than in healthy controls. Psychiatric disorders can negatively influence COPD management and vice versa, creating a complex bidirectional interaction. Depression and anxiety are the most common psychiatric comorbidities in patients with COPD, influenced by factors such as social isolation, physical limitations, and fear of exacerbations. Diagnosis of these psychiatric disorders is complicated by the overlap of symptoms with those of COPD. However, some screening tools can facilitate early detection. The treatment of psychiatric disorders in patients with COPD in a rehabilitation setting requires a multidisciplinary approach involving pulmonologists, neurologists and psychologists. Pharmacological therapy with antidepressants shows mixed results in terms of efficacy and safety, with some studies reporting benefits on quality of life and others suggesting an increased risk of exacerbations and pneumonia. An integrated approach that includes the assessment and intervention of mental disorders is essential to improve the overall management of COPD and the quality of life of patients. This narrative review provides an overview of the main psychiatric comorbidities in COPD patients, aiming to fill gaps in the literature and suggest areas for future research. Full article

Household smoking is one of the main sources of environmental tobacco smoke (ETS) exposure for children, a population considered to be at high risk for associated negative health outcomes. Several studies evidenced the occurrence of early effects related to ETS exposure, including the development of the oxidative stress process. The aim of this study was to evaluate the correlation between urinary levels of 8-oxo-7,8-dihydro-2-deoxyguanosine (8oxodGuo), a nucleic acid oxidation biomarker, and socio-demographic features and lifestyle factors in school children (aged 5–11 years). A cross-sectional study was conducted among 154 healthy children, residing in rural zones of central Italy. For each participant, one urine sample was analyzed by the HPLC-MS/MS technique to simultaneously quantify 8oxodGuo and cotinine (a biomarker of ETS exposure), while information on the children was collected using a questionnaire filled out by the parents. Urinary levels of 8oxodGuo was found to be significantly higher in children exposed to ETS compared to those not exposed (5.53 vs. 4.78 μg/L; p = 0.019). This result was confirmed by the significant association observed between urinary levels of cotinine and 8oxodGuo (r = 0.364, p < 0.0001). Additionally, children exposed to ETS with no smoking ban at home showed a further increased difference than those not exposed (6.35 μg/L vs. 4.78 μg/L; p = 0.008). Considering the great number of adverse effects on human health due to exposure to passive smoking, especially if this exposure begins early in life, it is essential to implement health promotion interventions in this area. Full article

Background: Bone healing is a complex process controlled by various mechanisms. It is known that cigarette smoking (CS) negatively affects bone healing by disrupting many of these mechanisms. In an effort to find ways to eliminate these negative effects caused by CS, studies have been conducted on various vitamins, antioxidants, and medications. Since high doses and repeated injections are required to increase the therapeutic effect of conventional drug applications, controlled drug delivery systems have been developed to avoid such problems. This study aimed to investigate the effects of resveratrol (RES), which has been made into a controlled drug delivery system, on bone healing in rats that were experimentally exposed to cigarette smoke to create a chronic smoking model. Methods: After establishing a chronic CS model by exposing the subjects to cigarette smoke of six cigarettes/day for four weeks, monocortical critical size defects of 3 mm (SD ± 0.02 mm) in diameter were created in the femur using a trephine bur. During the operation, the defects in RES groups were filled locally with a gel-formed solution of RES (50 µM) and Pluronic F-127 (14 µL). CS exposure was continued during the bone healing period after surgery. All groups were sacrificed one month after the operation, and femur samples were taken. Results: The obtained samples were examined by histomorphometric and immunohistochemical techniques; osteoblast count, new bone area, macroscopic filling score, vascularization, and proliferation were evaluated. Conclusion: The results of this study indicate that CS negatively affects bone healing and that local application of RES reduces this effect. Full article

This research paper presents a novel approach for occlusion inpainting in thermal images to efficiently segment and enhance obscured regions within these images. The increasing reliance on thermal imaging in fields like surveillance, security, and defense necessitates the accurate detection of obscurants such as smoke and fog. Traditional methods often struggle with these complexities, leading to the need for more advanced solutions. Our proposed methodology uses a Generative Adversarial Network (GAN) to fill occluded areas in thermal images. This process begins with an obscured region segmentation, followed by a GAN-based pixel replacement in these areas. The methodology encompasses building, training, evaluating, and optimizing the model to ensure swift real-time performance. One of the key challenges in thermal imaging is identifying effective strategies to mitigate critical information loss due to atmospheric interference. Our approach addresses this by employing sophisticated deep-learning techniques. These techniques segment, classify and inpaint these obscured regions in a patch-wise manner, allowing for more precise and accurate image restoration. We propose utilizing architectures similar to Pix2Pix and UNet networks for generative and segmentation tasks. These networks are known for their effectiveness in image-to-image translation and segmentation tasks. Our method enhances the segmentation and inpainting process by leveraging their architectural similarities. To validate our approach, we provide a quantitative analysis and performance comparison. We include a quantitative comparison between (Pix2Pix and UNet) and our combined architecture. The comparison focuses on how well each model performs in terms of accuracy and speed, highlighting the advantages of our integrated approach. This research contributes to advancing thermal imaging techniques, offering a more robust solution for dealing with obscured regions. The integration of advanced deep learning models holds the potential to significantly improve image analysis in critical applications like surveillance and security. Full article

Loose-fill thermal composite insulation produced from surface-modified wood scobs has been explored as a potential fire-resistant material for building envelopes. This work involves fire resistance behavior comparisons between four coating systems consisting of liquid glass, liquid glass-tung oil, liquid glass-expandable graphite, and liquid glass-tung oil-expandable graphite. The techniques of thermogravimetric and differential thermogravimetric analyses, gross heat combustion via a calorimetric bomb, cone calorimetry, SEM imaging of char residues, and energy dispersive spectrometry for elemental analysis, as well as propensity to undergo continuous smoldering, were implemented. The coating technique resulted in greater thermal stability at a higher temperature range (500–650 °C) of the resulting loose-fill thermal composite insulation, reduced flame-damaged area heights after the exposure of samples at 45° for 15 s and 30 s, with a maximum of 49% decreased gross heat combustion, reduced heat release and total smoke release rates, improved char residue layer formation during combustion and changed smoldering behavior due to the formation of homogeneous and dense carbon layers. The results showed that the highest positive impact was obtained using the liquid glass and liquid glass-expandable graphite system because of the ability of the liquid glass to cover the wood scob particle surface and form a stable and strong expanding carbon layer. Full article

Rigid polyurethane foams are the better-performing material for the most common insulation purposes, like sandwich panels. Nevertheless, they are highly flammable materials, release toxic gases, and are manufactured from fossil sources. As an alternative, tannin foams are bio-based materials that work as innovative alternatives thanks to their great fire resistance, as well as lower smoke and harmful gases emissions. In the present study, lab-made foams of both materials were compared through morphology, thermal and fire degradation, mechanical properties, and water affinity in order to fill the technological gap between them and their related sandwich panels. It was observed that tannin foams are still relatively inhomogeneous (since formaldehyde was not used) and present a high affinity for water but have higher thermal and fire resistance. The flat compression strength of the polyurethane sandwiches was greater than that of tannin sandwiches (3.61 and 3.09 MPa, respectively) thanks, mainly, to the crosslinking degree difference between the resins. Also, tannin foams presented a lower weight loss (−70.684% lower weight loss in flammability tests than polyurethane foams) and the ability to self-extinguish the flame. Therefore, sandwich panels with tannin foam cores could be successful materials in areas that require protection against fire, such as the building engineering and automotive industries. Full article

The metallurgical industry is in second place among all other industries in terms of emissions into the atmosphere, and air pollution is the main cause of environmental problems arising from the activities of metallurgical enterprises. In some existing systems for localization, in the trapping and removal of dust emissions from tapholes and cast-iron gutters of foundries, air flow parameters may differ from the optimal ones for solving aspiration problems. The largest emissions are observed in the area of the taphole (40–60%) and from the ladles during their filling (35–50%). In this paper, it is proposed to consider a variant of the blast furnace aspiration system with the simultaneous supply of a dust–gas–air mixture from two-side smoke exhausters and two upper hoods with two simultaneously operating tapholes, that is, when the blast furnace operates in the maximum emissions mode. This article proposes an assessment of the effectiveness of the modernized blast furnace aspiration system using computer CFD modeling, where its main parameters are given. It is shown that the efficiency of dust collection in the proposed system is more than 90%, and the speed of the gas–dust mixture is no lower than 20 m/s, which prevents gravitational settling on the walls. The distribution fields of temperatures and velocities are obtained for further engineering analysis and the possible improvement of aspiration systems. Full article

Prescribed burning is a major source of a fine particular matter, especially in the southeastern United States, and quantifying emissions from burning operations accurately is an integral part of ascertaining air quality impacts. For instance, a critical factor in calculating fire emissions is identifying fire activity information (e.g., location, date/time, fire type, and area burned) and prior estimations of prescribed fire activity used for calculating emissions have either used burn permit records or satellite-based remote sensing products. While burn permit records kept by state agencies are a reliable source, they are not always available or readily accessible. Satellite-based remote sensing products are currently used to fill the data gaps, especially in regional studies; however, they cannot differentiate prescribed burns from the other types of fires. In this study, we developed novel algorithms to distinguish prescribed burns from wildfires and agricultural burns in a satellite-derived product, Fire INventory from NCAR (FINN). We matched and compared the burned areas from permit records and FINN at various spatial scales: individual fire level, 4 km grid level, and state level. The methods developed in this study are readily usable for differentiating burn type, matching and comparing the burned area between two datasets at various resolutions, and estimating prescribed burn emissions. The results showed that burned areas from permits and FINN have a weak correlation at the individual fire level, while the correlation is much higher for the 4 km grid and state levels. Since matching at the 4 km grid level showed a relatively higher correlation and chemical transport models typically use grid-based emissions, we used the linear regression relationship between FINN and permit burned areas at the grid level to adjust FINN burned areas. This adjustment resulted in a reduction in FINN-burned areas by 34%. The adjusted burned area was then used as input to the BlueSky Smoke Modeling Framework to provide long-term, three-dimensional prescribed burning emissions for the southeastern United States. In this study, we also compared emissions from different methods (FINN or BlueSky) and different data sources (adjusted FINN or permits) to evaluate uncertainties of our emission estimation. The comparison results showed the impacts of the burned area, method, and data source on prescribed burning emission estimations. Full article

In recent decades, there has been a significant proliferation of literature pertaining to the evacuation of urban underground spaces. However, few studies have focused on scientometric reviews that identify research topics, evolution patterns, and trends in this field. To bridge this gap, the present study adopted a bibliometric approach by searching the literature related to underground space evacuations in the Web of Science (WOS) core database for the period 1992–2022, from which we visualized and analyzed the issuance status of the country, author, and institution, as well as the cooperation status, using Citespace software. The findings of this paper are as follows: First, there has been a consistent upward trend in the quantity of literature within this field over time. Second, Swedish authors and institutions have made important contributions to the advancement of research in this area. Third, the current research topics are concentrated on themes such as modeling and simulation, smoke control methods, integrative research on factors affecting pedestrian evacuation behavior, pedestrian walking speed under smoke-filled conditions, and the influence of wayfinding devices on exit selection/wayfinding. Finally, to advance the safety in underground spaces, future research trends should include improving basic data, refining simulation model parameters, assessing the evacuation capabilities of special populations, examining the impact of risk perception on evacuation behavior, and conducting specific research on the different risks in underground spaces. The findings may contribute to the managerial development of more comprehensive and effective emergency plans for underground spaces, thereby enhancing the survival rates and safety of pedestrians during disasters or other emergencies. Full article