Search Results (20,453)

Mycoplasma pulmonis (M. pulmonis) is a chronic infection that can appear in laboratory animal facilities. Deviations in hemorheological parameters during many pathological processes were detected, but it is unknown to what extent M. pulmonis infection causes changes in micro-rheological parameters. We performed our study on 25 symptomatic and asymptomatic Wistar rats, randomly selected from the entire population and presumably infected with Mycoplasma. From the blood samples, we determined the hematological parameters, red blood cell deformability under varying shear stress and varying osmolality, and the degree of red blood cell aggregation. We used the data of age- and sex-matched animals from our previous research as a control. Red blood cell count, hemoglobin, hematocrit values, and platelet count were significantly reduced in Mycoplasma-infected animals. Significantly reduced erythrocyte aggregation and deformability were detected. In conclusion, M. pulmonis infection causes significant changes in hemorheological and hematological parameters. Periodic measurement of these parameters can help monitor the infection. Full article

Background/Objectives: Patients with psoriasis exhibit endothelial dysfunction (EDy), which increases their cardiovascular risk. Excessive salt intake impairs endothelium-dependent vascular reactivity. However, research on EDy in psoriasis has focused primarily on larger vessels, leaving skin microcirculation unexplored. This study aimed to investigate the effects of a low-salt diet (LS diet, ~3.75 g/day) on microvascular reactivity in patients with chronic plaque psoriasis. Methods: Laser Doppler flowmetry was used to assess skin microcirculation blood flow in response to vascular occlusion (postocclusive reactive hyperemia, PORH), acetylcholine (acetylcholine-induced dilation, AChID), sodium nitroprusside (SNP-induced dilation, SNPID), and local heating (local thermal hyperemia, LTH). Blood and 24 h urine samples were collected for biochemical and inflammatory parameters and dietary adherence monitoring. Results: The results showed significant reductions in systolic (p = 0.021) and mean arterial blood pressure (p = 0.007) after the LS diet. AChID increased by 16% (p = 0.029) regardless of blood pressure changes, especially in normolipemic, normotensive patients without excess visceral fat. Importantly, significant sex differences were observed, with significant improvement in endothelial function observed only in women (p = 0.031 vs. p = 0.477). PORH did not change significantly; however, a Fourier transformation analysis revealed that the endothelial component of the PORH was significantly improved following the LS diet protocol. The duration of psoriasis negatively correlated with changes in AChID (R = −0.46, p = 0.036) and LTH (R = −0.45, p = 0.041) after the LS diet, indicating that prolonged low-grade inflammation reduced endothelial function reversibility. Additionally, lower triglyceride, uric acid, and BMI levels were significant predictors of better endothelial function improvement following the LS diet. Conclusions: This study supports the beneficial effect of the early introduction of an LS diet in the treatment protocols for patients with psoriasis. Full article

Phytophagous mites are herbivores that feed on various economically important plants, such as soybean [Glycine max (L.) Merril]. Thus, our objective is to evaluate the oxidative stress stage of soybean plants infested by Tetranychus ludeni Zacher. Leaflets from three trifoliate leaves were pooled to form composite samples for each exposure time and evaluated at the following evaluation times: 0 h, 20 min, 6 h, 12 h, 24 h, and 48 h. In the initial phase of infestation (20 min), an oxidative burst was observed, represented by prominent hydrogen peroxide accumulation rather than superoxide radicals. This oxidative burst occurred in parallel to a strong increase in the antioxidant activities of catalase, ascorbate peroxidase, and glutathione S-transferase, but not in that of superoxide dismutase. These changes likely reflected an enhanced activation of signaling pathways involved in the oxidative stress response. After this initial phase, from 20 min to 6 h, a prominent decrease occurred in catalase, ascorbate peroxidase, and glutathione S-transferases activities, despite the hydrogen peroxide levels remaining significantly elevated, along with a marked but transient increase in the reduced glutathione content and proline. Interestingly, superoxide dismutase activity increased significantly after 6 h in parallel to lipid peroxidation, whereas the content of hydrogen peroxide remained elevated until 12 h of infestation. By the final evaluation, after 48 h of infestation, some redox indicators remained altered in relation to control plants, but in a state of moderate redox stress. Thus, in an unprecedented way, our data suggest that T. ludeni infestation triggered a moderate oxidative stress response in soybean plants. These findings highlight that proper monitoring and management can reduce economic losses without resorting to aggressive chemical interventions. Full article

Under the influence of climate change, extreme heat events are becoming more frequent and intense. Understanding the response mechanisms of public building spaces, such as atriums, during extreme heat events is of great significance for developing effective design strategies to enhance the thermal resilience of buildings. This study investigated the effect of atrium spaces on the thermal resilience of buildings during heatwaves, focusing on their ability to mitigate high temperatures under two states: closed and open. The research monitored the indoor and outdoor temperature and humidity data of the atrium of a university building in Shanghai during a typical heatwave, and used statistical methods to analyze the relationships between the thermal resilience indicators and various environmental parameters, including the indoor and outdoor temperatures and ventilation states, to evaluate the thermal performance of the atrium. The results indicate that the atrium demonstrated robust thermal resilience under both closed and open conditions. In the closed phase, the indoor temperature was, on average, approximately 7 °C lower than the outdoor temperature, with the maximum difference reaching 11 °C, and the peak temperature delay was up to 4 h. In the open phase, despite exhibiting larger thermal fluctuations and an increase in temperature non-uniformity, the thermal resilience index improved significantly, from 0.231 in the closed phase to 0.047. The analytical framework developed in this study shows great potential for understanding the thermal resilience mechanisms of buildings during extreme heat events. Additionally, the data-driven insights are invaluable for informing the design strategies of public building spaces, especially in regions prone to extreme heat. Full article

Reduced body movement and weakened musculoskeletal function as a result of aging increase the risk of falls and serious physical injuries requiring medical attention. To solve this problem, a fall prevention algorithm using an acceleration sensor has been developed, and research is being conducted to enable continuous monitoring using a Holter electrocardiograph. In this study, we implemented a multi-input model that can detect and classify movements, including falls, utilizing the baroreflex characteristics of the heart’s potential energy changes due to movement, measured with an electrocardiogram with a three-axis acceleration sensor and a Holter electrocardiograph. Patterns were identified from the various movement characteristics of acceleration sensor data using a deep learning model consisting of CNN-LSTM, and heart rate variability (HRV) data were analyzed using a wide learning model to provide additional weight values for fall classification. Finally, a multi-input model using wide and deep learning was proposed to enhance the accuracy of fall classification. The results show that the HRV increased in fall case except in two motion types, while it decreased when standing up from a chair, indicating the application of the baroreflex characteristics reflecting the heart’s potential energy. Compared to the classification model using conventional HRV and ACC, a higher accuracy was achieved in the multi-input model using ACC-HRV data, and a precision, recall, and F1 score of 0.91 was measured, indicating improved performance. This is expected to have a positive impact on fall prevention by improving the accuracy of fall classification in the elderly for 15 different movements. Full article

The aims of this study were to analyze (1) the external match demands during a congested period (CP) (i.e., three games in eight days) and (2) the differences among games with two- or three-day intervals in professional futsal players. Eleven elite male futsal players were monitored during 15 official matches. Wearable accelerometers were used to record player load (PL), accelerations (ACC), decelerations (DEC), and changes of direction (COD) at different intensities (e.g., high, medium, and low) using two approaches (e.g., absolute and relative per minute). A linear mixed model and effect sizes (ESs) were used to analyze differences between matches and days of interval. Considering the external match load during CP, non-significant differences were found for all the variables (p = 0.108–0.995; ES: 0.01–0.40). Comparing the interval days between games, players had significantly higher DEC_HI (p = 0.030; ES: 0.48), COD_TOTAL (p = 0.028; ES: 0.33), COD_MED (p = 0.024; ES: 0.40), and COD_LOW (p = 0.038; ES: 0.31) following 3 days of interval between the games when compared with 2 days. However, when analyzed relative to effective time, non-significant differences were found. In summary, CPs seem to not affect the match external load, but players performed better in terms of DEC and COD following 3 days of interval when compared to 2 days when analyzed with absolute values. Full article

The relocation of residents from high-risk areas is a critical measure to address safety and development issues in the floodplain regions of Henan Province in China. Whether the old villages can be reclaimed as farmland after demolition concerns Henan Province’s ability to maintain its farmland red line. This paper integrated multiple remote sensing indices and proposed a remote sensing identification method for monitoring the progress status of village relocation and reclamation that adapted to data characteristics and application scenarios. Firstly, it addressed the issue of missing target bands in GF-2 (GaoFen-2) by employing a band downscaling method; secondly, it combined building and vegetation indices to identify changes in land cover in the old villages within the floodplain, analyzing the implementation effects of the relocation and reclamation policies. Results showed that using a Random Forest regression model to generate a 4 m resolution shortwave infrared band not only retains the original target band information of Landsat-8 but also enhances the spatial detail of the images. Based on the optimal thresholds of multiple remote sensing indices, combined with human footprint data and POI (Points of Interest) identified village boundaries, the overall accuracy of identifying the progress status of resident relocation and reclamation reached 93.5%. In the floodplain region of Henan, the implementation effect of resident relocation was relatively good, with an old village demolition rate of 77%, yet the farmland reclamation rate was only 23%, indicating significant challenges in land conversion, lagging well behind the pilot program schedule requirements. Overall, this study made two primary contributions. First, to distinguish between rural construction and bare soil, thereby improving the accuracy of construction land extraction, an Enhanced Artifical Surface Index (EASI) was proposed. Second, the monitoring results of land use changes were transformed from pixel-level to village-level, and this framework can be extended to other specific land use change monitoring scenarios, demonstrating broad application potential. Full article

Economic pressure on agricultural land is generating major changes in affected territorial systems. The development of methodologies to analyze the pressure on agricultural land is one of the main concerns regarding food security and how to provide fresh produce to large cities. The methodology used uses the Corine Land Cover database, provided by Copernicus Land Monitoring Services (CLMS), from 1990–2018. Data processing and analysis was performed using the open-source software package QGIS, a process that started by reprojecting the data into the national coordinate reference system Pulkovo 1942(58)/Stereo 70, EPSG: 3844. The methodology used was able to highlight the transformations that have taken place in land use, highlighting when and how the land was transformed. Our results show that quantitative and land-use changes due to the socio-economic pressures generated by the transition to a different type of economy can be highlighted. Urban sprawl has led to dramatic changes in land use, with agricultural land being the category that has seen the largest reductions in area. Full article

Temporary permeable structures of bamboo and brushwood have been implemented for mangrove restoration along retreating coastlines worldwide. However, deriving lessons from previous studies is inhibited by their lack of morphodynamic context, with missing bathymetric data or control comparisons. In this paper, we present a low-tech, low-cost, data collection methodology to support morphodynamic system understanding and modeling of mangrove coastlines. This method was applied to monitor a mangrove restoration project featuring temporary permeable structures of bamboo and PVC, installed in late 2021 on the subsiding muddy coast of Demak, Indonesia. Seabed level changes were regularly tracked with bathymetric surveys and monitoring poles across structures and at a nearby control site. Structures were positioned landward of a chenier, at −0.7 m to −0.9 m relative to mean sea level (MSL), and 30–70 m seaward of the mangrove fringe. Measurements from August 2021 to December 2022 revealed seabed erosion (−0.33 m to −0.4 m) seaward of the structures, with mixed responses landward: two sections eroded (−0.04 m to −0.05 m), one remained stable, and a creek-adjacent section eroded by −0.43 m. At the nearby control site, chenier migration and vertical growth promoted landward accretion, though elevations remained below MSL and thus unsuitable for mangrove colonization. The bathymetric and monitoring pole measurements presented in this study constitute valuable datasets for modeling studies aiming to unravel the dominant processes driving morphodynamic changes. Such models could also inform integrated approaches to mangrove restoration in subsiding coastlines, considering sediment supply, subsidence management, and structure integrity. Full article

Background: Acute-on-chronic liver failure (ACLF) is a severe, rapidly progressing syndrome in patients with liver cirrhosis, often triggered by bacterial infections. Piperacillin/Tazobactam is a key antibiotic in this setting, and therapeutic drug monitoring (TDM) helps optimize its dosing. This study evaluates the impact of an interprofessional TDM strategy for Piperacillin/Tazobactam in ACLF patients in the ICU. Methods: This retrospective ICU study evaluated an interprofessional TDM approach for optimizing Piperacillin/Tazobactam dosing in critically ill ACLF patients. The team, consisting of physicians, clinical pharmacists, and staff nurses, engaged in shared decision making, collaboratively interpreting TDM results and adjusting the dosing accordingly. This study included 26 patients with ACLF who underwent initial TDM and 7 who received follow-up TDM. Piperacillin/Tazobactam dosing was modified based on TDM recommendations, with serum concentrations measured weekly. Adherence to and the implementation of interprofessional dosing recommendations were systematically analyzed to assess the impact of this approach. Results: The initial TDM showed that 30.8% of patients had Piperacillin/Tazobactam levels within the target range, while 53.8% were above and 15.4% below. The interprofessional team recommended dose reductions in seven patients, increases in three, and no change in eleven, with five requiring antibiotic modifications. At the first follow-up TDM, 20.0% reached target levels, while 80.0% remained above, with no subtherapeutic cases. The team recommended one further dose reduction and maintained dosing in four patients. All recommendations were fully implemented, demonstrating strong adherence to the collaborative protocol. Conclusions: The interprofessional TDM strategy optimized Piperacillin/Tazobactam dosing in ACLF patients with full adherence to the recommendations. This collaborative approach improves outcomes and supports global efforts to curb antibiotic resistance. Full article

Background: While severe exacerbations are known to worsen the prognosis of patients with chronic obstructive pulmonary disease (COPD), the extent of this impact based on the degree of deterioration is unclear. COPD Assessment Test (CAT) scores increase during exacerbations, reflecting symptom worsening. This study aimed to compare healthcare resource utilisation and mortality among patients with COPD after a severe exacerbation, stratified by changes in CAT scores. Methods: This observational study included patients hospitalised for COPD exacerbation. The CAT questionnaire was administered twice: once referring to the time of admission and once to the stable phase. Patients were divided into tertiles based on symptom worsening. A prospective follow-up was conducted to compare emergency room visits, hospital admissions, and survival rates. Results: This study included 50 patients, of whom 30 (60%) were male. Their mean age was 70.5 years (standard deviation [SD]: 9.6), mean forced expiratory volume in the first second (FEV1) was 46.7% (SD: 0.8) of the predicted value, and median CAT score deterioration was 9 points (interquartile range: 5–15.25). Patients in the third tertile had earlier healthcare utilisation than those in the first tertile (emergency room visits: log-rank = 5.27, p = 0.022; hospitalisations: log-rank = 5.27, p = 0.022). Survival rates did not differ significantly among tertiles. Conclusions: Patients with greater CAT score deterioration experienced earlier COPD-related events, suggesting the need for closer monitoring after severe exacerbation. Full article

The advancement of intelligent packaging technologies has emerged as a pivotal innovation in the food industry, significantly enhancing food safety and preservation. This review explores the latest developments in the fabrication of intelligent packaging, with a focus on applications in food preservation. Intelligent packaging systems, which include sensors, indicators, and RFID technologies, offer the real-time monitoring of food quality and safety by detecting changes in environmental conditions and microbial activity. Innovations in nanotechnology, bio-based materials, and smart polymers have led to the development of eco-friendly and highly responsive packaging solutions. This review underscores the role of active and intelligent packaging components—such as oxygen scavengers, freshness indicators, and antimicrobial agents in extending shelf life and ensuring product integrity. Moreover, it highlights the transformative potential of intelligent packaging in food preservation through the examination of recent case studies. Finally, this review provides a comprehensive overview of current trends, challenges, and potential future directions in this rapidly evolving field. Full article

This study investigates the impacts of climate change on snake behavior and distribution in Taiwan by analyzing roadkill data from the Taiwan Roadkill Observation Network (TaiRON). Focusing on data from 2012 to 2019, the analysis reveals temporal and spatial changes in snake roadkill patterns, shedding light on the ecological effects of a warming climate. From 2012 to 2019, the number of snake roadkill events exhibited a rising trend, particularly during peak activity months from May to October, which accounted for over 70% of annual cases. However, a notable increase was observed in January, traditionally a low-activity period, with roadkill numbers rising 14.9-fold and proportions increasing nearly 6-fold over the study period. This shift suggests that warmer winters are extending the active period for snakes, potentially altering their seasonal behaviors. Spatially, snake roadkill numbers showed a northward and upward migration, reflecting a response to rising temperatures and habitat shifts to higher-altitude regions. These migratory trends, while adaptive, expose snakes to heightened roadkill risks in newly occupied habitats. The findings underscore the potential of roadkill data as a robust ecological monitoring tool for understanding species responses to climate change. By integrating citizen science with ecological and spatial analyses, this research highlights the critical role of environmental changes in driving snake activity and distribution shifts. This study emphasizes the need for climate-adaptive conservation strategies, including road design improvements and biodiversity-focused policies, to mitigate roadkill risks and safeguard snake populations. These insights contribute to broader efforts in ecological conservation and the formulation of evidence-based policies to address the impacts of climate change on cold-blooded animals. Full article

The issue of geotechnical hazards induced by excavation in soft soil areas has become increasingly prominent. However, the retaining structure and surface settlement deformation induced by the creep of soft soil and spatial effect of the excavation sequence are not fully considered where only elastic–plastic deformation is used in design. To understand the spatiotemporal effects of excavation-induced deformation in soft soil pits, a case study was performed with the Huaxi Park Station of the Suzhou Metro Line S1, Jiangsu Province, China, as an example. Field monitoring was conducted, and a three-dimensional numerical model was developed, taking into account the creep characteristics of mucky clay and spatiotemporal response of retaining structures induced by excavations. The spatiotemporal effects in retaining structures and ground settlement during excavation processes were analyzed. The results show that as the excavation depth increased, the horizontal displacement of the diaphragm walls increased linearly and tended to exhibit abrupt changes when approaching the bottom of the pit. The maximum horizontal displacement of the wall at the west end well was close to 70 mm, and the maximum displacement of the wall at the standard section reached approximately 80 mm. The ground settlement on both pit sides showed a “trough” distribution pattern, peaking at about 12 m from the pit edge, with a settlement rate of −1.9 mm/m per meter of excavation depth. The excavation process directly led to the lateral deformation of the diaphragm walls, resulting in ground settlement, which prominently reflected the time-dependent deformation characteristics of mucky soft soil during the excavation process. These findings provide critical insights for similar deep excavation projects in mucky soft soil, particularly regarding excavation-induced deformations, by providing guidance on design standards and monitoring strategies for similar geological conditions. Full article

Chatter is a complex dynamic instability in machining processes and presents nonlinear and nonstationary behavior. Detection of this phenomenon before a catastrophic failure occurs has great importance in the industry today. This behavior demands online monitoring signal-processing techniques suitable for facing these kinds of dynamics such as approximate entropy (AE) and wavelet transform. Moreover, AE is useful for dealing with noisy signals and requires a relatively small amount of observations. In this study, we propose an improved AE methodology, the multiscale maximum approximate entropy (MMAE), to detect chatter in milling processes. The maximum AE is achieved by the calculation of the parameter r proposed by Sheng and Chon. In the past, the calculation of this parameter was a drawback of the AE technique. The results show the effectiveness of this proposed technique in detecting clearly different gradual and drastic changes in chatter conditions. Moreover, a more known technique is presented: the time–frequency maps provided by continuous wavelet transform (CWT). The results also show the efficacy of this technique in detecting different levels of chatter. The results are corroborated by the machining piece observation of the chatter phenomenon. MMAE is also compared with sample entropy (SE) and the Hurst exponent obtained by the R/S analysis. At the end, a comparison analysis of the mentioned techniques is carried out, showing that they all have advantages and disadvantages. However, the disadvantages of MMAE and CWT can be solved, as mentioned in the comparison section. Thus, the conclusion is that MMAE and CWT techniques are optimal for the online monitoring of chatter in machining processes. Full article