Search Results (5,872)

Aims: Elevated uric acid (UA) levels correlate with worse heart failure (HF) outcomes, but past studies used single UA measurements. The effect of intra-individual UA fluctuations, beyond mean levels, is unclear. This study assesses the relationship between serum UA variability and adverse clinical outcomes in HF patients. Methods: We analyzed 18,115 HF patients from the SHEBAHEART registry (2009–2025) with at least three UA measurements within three years of diagnosis. UA variability was quantified as the mean deviation (MD) from each patient’s average UA level and divided into quartiles: Q1 (≤−0.69 mg/dL), Q2–Q3 (>−0.69 and <1.53 mg/dL, reference), and Q4 (≥1.53 mg/dL). All-cause mortality was the primary outcome and HF hospitalization was secondary. Cox regression, propensity score matching, and subgroup analyses were used. Results: Over a median follow-up of 4.3 years (IQR 1.6–7.7), 36% of patients were hospitalized for HF and 65.5% died. UA variability showed a graded association with outcomes. Low variability (Q1) was linked to reduced mortality (HR 0.79, 95% CI 0.75–0.83) and HF hospitalization (HR 0.84, 95% CI 0.79–0.90), while high variability (Q4) increased mortality (HR 1.58, 95% CI 1.51–1.69) and hospitalization risk (HR 1.17, 95% CI 1.10–1.25) (all p < 0.001). These associations remained after propensity score matching and across HF subgroups. Conclusions: UA variability is a robust, independent predictor of mortality and HF hospitalization. Serial UA monitoring may enhance risk stratification in HF management. Full article

In the field of forensic document examination, accurately determining the chronological sequence of intersecting lines between seal ink and handwriting is a crucial technical step for verifying document authenticity, identifying contract tampering, and detecting forged signatures. This technique analyzes the physical superimposition relationship formed by the deposition of the two media on the paper substrate to provide objective scientific evidence for judicial practice. Although traditional methods such as microscopic imaging and mass spectrometry analysis have achieved some progress, they still suffer from common limitations including high equipment costs, complex operation, and potential damage to samples. This study proposes and validates an innovative non-destructive determination method that integrates structured light 3D reconstruction technology with deep learning algorithms. The research captures the microscopic 3D morphological features of the ink intersection area using a high-precision structured light scanning system and effectively eliminates noise interference caused by paper substrate undulation through Gaussian flattening technology. Subsequently, a multimodal fusion strategy combines 2D texture images with 3D depth information to construct a dataset rich in features. On this basis, a deep learning model based on an improved Residual Neural Network (ResNet) is designed, incorporating the ELU activation function and an EMA mechanism to enhance the model’s feature extraction capability and convergence stability. Experimental results demonstrate that the proposed method achieves a recognition accuracy of 94.39% on the test set, fully validating its effectiveness and application potential in the non-destructive determination of ink stroke sequencing. Full article

Measurement While Drilling (MWD) tools are widely employed in deep and ultra-deep well drilling. In the high-temperature and high-pressure (HTHP) environments characteristic of these wells, structural deformation induced by thermal expansion interferes with the bit parameter recorder’s sensor readings, thereby degrading the measurement accuracy of weight on bit (WOB) and working torque (WT). To address this issue, this paper proposes a temperature compensation method based on thermo-mechanical coupling simulation. This method systematically establishes the quantitative relationships between multiple loads—including WT, WOB, temperature, and make-up torque—and the strain at critical locations of the bit parameter recorder through finite element analysis (FEA). Furthermore, surface calibration experiments have verified a strong linear correlation between the strain gauge voltage signals and the simulated strain. Building upon this foundation, an inversion-based compensation algorithm is developed. This algorithm effectively isolates the interference caused by thermally induced deformation and inversely deduces the true WOB and torque values by utilizing downhole-measured sensor voltage and temperature data. The research results demonstrate that the proposed temperature compensation method significantly improves the measurement accuracy of the bit parameter recorder under harsh, high-temperature operating conditions. The relative errors for both WOB and torque measurements are controlled to within 5%, providing a reliable solution for precise parameter measurement in high-temperature deep wells. Full article

Traffic accidents at urban intersections represent a major road safety concern, particularly those caused by traffic signal violations. To analyze accident mechanisms and develop effective prevention strategies, this study employs a cellular automata model to investigate the relationship between accident probability $P_{ac}$ and traffic parameters at signalized intersections. Simulation results reveal a nonlinear relationship between Pac and traffic demand. The accident probability reaches a maximum under free-flow conditions and subsequently decreases as congestion increases, eventually stabilizing at a nearly constant level under highly congested traffic. Additionally, collision risk increases with lane-changing probability $P_{chg}$, especially upstream of the intersection. High traffic speeds significantly elevate both accident probability and severity. Finally, the results indicate that extending traffic signal cycle durations is not an effective strategy for reducing accident risk. Overall, the proposed model provides a useful framework for estimating accident risk under different traffic conditions and supporting traffic management, including control decisions aimed at improving road safety. Full article

Under China’s carbon peaking and carbon neutrality goals, its photovoltaic (PV) sector is transitioning from scale expansion to quality-oriented growth, where intelligent upgrading is essential to improve efficiency, safety, and O&M digitalization. However, its upgrade process in China is severely hampered by a wide range of complex influencing elements. The purpose of this study is to pinpoint and examine the main obstacles to the PV upgrading process as well as clarify their cause–effect relationships to support targeted interventions. Using a mixed-methods approach, we first analyzed interview data from thirty stakeholders using grounded theory to derive barrier categories and factors. The cause-and-effect linkages among these factors were then quantified using the gray-DEMATEL approach. The findings show that funding cost constraints and the lack of incentive mechanisms are the primary and secondary causal factors, respectively, while insufficient R&D capabilities are the most significant resultant factor. The lack of cooperation mechanisms and funding cost constraints were identified as the most comprehensive influencing factors. These findings provide a systematic decision-making framework for policymakers and industry stakeholders to formulate targeted strategies for accelerating PV intelligent upgrading in China. Full article

Background: Multiple sclerosis (MS) is a long-term and unpredictable condition that can cause considerable psychological distress, including perceived stress and death anxiety. Identifying psychological factors that may mitigate these effects is important for improving the psychosocial well-being of patients with MS. This study aimed to examine the mediating role of self-compassion in the relationship between perceived stress and death anxiety in patients with MS. Methods: This cross-sectional, descriptive, and correlational study included 169 Turkish patients diagnosed with MS between October 2024 and April 2025. A regression-based mediation analysis using the Hayes PROCESS macro with bootstrapping was conducted to assess the mediating role of self-compassion. Results: Death anxiety scores were positively but weakly correlated with perceived stress scores (r = 0.172, p = 0.026). Perceived stress scores were strongly and negatively correlated with self-compassion scores (r = −0.704, p < 0.001), whereas self-compassion scores showed a weak-to-moderate negative correlation with death anxiety scores (r = −0.287, p < 0.01). In the mediation model, perceived stress significantly predicted self-compassion (B = −0.087, p < 0.001), and self-compassion significantly predicted death anxiety (B = −1.758, p < 0.001). The direct effect of perceived stress on death anxiety was not statistically significant (B = −0.058; p = 0.344), whereas the indirect effect was significant (B = 0.153; 95% CI [0.079, 0.232]). The total effect was also significant (B = 0.095; p = 0.036). Conclusions: The findings indicate that self-compassion mediates the relationship between perceived stress and death anxiety in patients with MS. Higher levels of self-compassion were associated with lower levels of perceived stress and death anxiety, suggesting that self-compassion may function as an important psychological resource in coping with disease-related stress and death-related concerns. From a clinical and nursing perspective, integrating strategies that support self-compassion within holistic care may contribute to improving the psychosocial well-being of patients with MS. Full article

To improve the punctuality of flight schedules, causal inference methods are introduced to model the potential causal structure and intervention effects among ground support operations of flights. The effectiveness of these methods in improving flight punctuality is verified under experimental conditions. When the causal relationship of Flight Ground Support (FGS) is determined, the research initiates from the perspective of FGS. A time-constrained strategy based on the Q-learning causal optimal strategy algorithm is proposed to transform causal effects into causal strategies. Initially, the influencing factors of FGS operations are classified into intervention groups. The causal effects of these influencing factors on their target support operations are calculated, and the influence degrees of the causes on the results within the causal relationship are investigated. Subsequently, the time constraint of the FGS process is characterized as a Markov decision process. The experimental results indicate that, compared with the traditional probability strategy, the causal strategy that considers the causal relationship enables over 51% of the flight plans to depart on time, with an average increase of 2.79%. The proposed method is not restricted to a specific airport or a single ground handling process configuration. Under the condition that ground handling operations are observable and sufficient historical operational data are available, it provides an interpretable optimization framework for time-constraint decision-making in flight ground handling operations across airports of different scales. Full article

Background: Schwannomas of the third cranial nerve are exceedingly rare benign tumors, and standardized management guidelines are lacking. Their close relationship with critical neurovascular structures makes diagnosis and treatment challenging, with a significant risk of postoperative neurological deficits. Methods: A systematic review of the literature was conducted according to the PRISMA guidelines, including case reports and clinical studies on oculomotor nerve schwannomas (ONSs). Demographic data, clinical presentation, tumor location, diagnostic methods, treatment strategies, and functional outcomes were analyzed. In addition, an illustrative case treated with a multimodal approach is presented. Results: Ninety-six cases met the inclusion criteria. The mean age at diagnosis was 34 years, with a slight female predominance. The most common presenting symptoms were diplopia and ptosis. Contrast-enhanced magnetic resonance imaging was the diagnostic modality of choice. Surgical resection was the primary treatment in most cases but was associated with worsening oculomotor nerve function in 43.1% of surgically treated patients. Stereotactic radiotherapy demonstrated favorable tumor control with lower neurological morbidity. In the presented case, subtotal resection followed by stereotactic radiotherapy resulted in sustained tumor stability at the one-year follow-up. Conclusions: Management of oculomotor nerve schwannomas should be individualized. For small or mildly symptomatic lesions, stereotactic radiotherapy appears to be an effective and less invasive option, while surgery should be reserved for large tumors causing a mass effect or progressive neurological deterioration. Full article

The foundry industry produces over 66 million tons of mixed casting waste sand, containing toxic and harmful substances such as phenols and aldehydes, every year, which has caused serious soil pollution, water source pollution, and large amounts of CO₂ emissions. Green resource recycling and utilization are urgently needed. The hot method circulating fluidized bed furnace is currently the mainstream technology for the regeneration of casting waste sand. However, traditional equipment has a series of key technical bottlenecks, such as VOC (volatile organic compound) emissions, low yield of fine sand, poor stability of phase change sand, and uneven fluidization, which directly limit the effectiveness, large-scale promotion, and application of waste sand regeneration. This study, based on a self-designed experimental prototype, constructed models with different hood densities and inlet air velocity parameters. A CFD-DEM coupled model, combined with two turbulence models, was used for numerical simulations and experimental validation, and the optimal combination of fluidization parameters was determined. The study confirmed that the k–ω SST model is more suitable for precise simulation of such gas–solid two-phase flows. The research revealed quantitative relationships between key parameters and sand particle fluidization states, addressing the core problem of uneven fluidization in conventional bubbling furnaces and providing important guidance for the optimized design of new thermal cycle bubbling furnaces. It has significant engineering value for promoting the efficient resource utilization of foundry waste sand and the green and sustainable development of the industry. Full article

Despite increasing efforts by the scientific community to raise awareness of breed-related health problems through educational campaigns, public information initiatives, and veterinary outreach programmes, brachycephalic dog breeds remain highly popular. As the number of brachycephalic dogs increases, the prevalence of associated health problems rises accordingly. Ethical and animal welfare considerations appear to play a limited role in breed selection. In German-speaking regions, extensive educational efforts have been undertaken in recent years to address the issue of so-called torture breeding, defined as intentional selection for extreme phenotypic traits that impair health, reduce welfare, and cause chronic suffering, particularly in brachycephalic breeds. The aim of this study was to determine the underlying reasons for the decision to buy and keep a brachycephalic dog. Although the veterinary profession is already improving education and communication, this qualitative study intended to find new starting points for targeted education against animal suffering and to explore the sociological background of the ownership of such dogs. For this purpose, semi-structured interviews with people with brachycephalic dogs were conducted throughout Switzerland (n = 16). The focus was on the animal–human relationship. The interviews were defined by systematically applied guidelines for the design of the interview process, while still allowing maximum openness (all possibilities for expression). The transcribed interviews were coded and analysed according to the Kuckartz methodology, which allows us to set certain focal points of analysis and to structure them according to codes. The results of this study indicate that, although awareness of torture breeding is present within the broader population, owners of brachycephalic dogs frequently rely on individualised arguments and rationalisations. These typically involve emphasising the perceived health, functionality, or exceptional characteristics of their own animal (e.g., claims that their dog is “healthy” or not affected by breed-related problems), thereby distancing their personal ownership experience from the general welfare concerns associated with the breed. This psychological pattern can be interpreted as cognitive dissonance, in which contradictory beliefs are harmonised through selective perception or re-evaluation. The results also show that brachycephalic dogs offer a very strong projection surface: their owners assign them a variety of social roles that go beyond the classic animal–human relationship—for example, as a substitute for children, a romantic partner, or a best friend. This qualitative study provides differentiated insights into the attitudes and motivations of owners of brachycephalic dogs and illustrates that traditional awareness campaigns have not been sufficient to effectively change problematic breeding practices and ownership patterns. In order to develop long-term effective solutions, interdisciplinary cooperation is therefore needed—for example, between veterinary medicine, animal welfare, communication science, psychology and law. In addition to individual education, new, target-group-specific communication strategies and consistent legal regulations are needed to protect animal welfare in the long term. This study is intended to serve as a catalyst for a broader ethical and social debate on the keeping of torture breed dogs. Full article

This study explored the spatial relationship between frequent physical distress (FPD) and socioeconomic as well as health-related factors across the contiguous United States. FPD, defined as having 14 or more physically unhealthy days within the past month, serves as an important measure of overall population health. While many studies have examined the causes of mental distress, research on the geographic variation and social context of physical distress remains limited. Using data from 2673 U.S. counties, this study analyzed how socioeconomic conditions and health indicators relate to FPD at both national and regional levels. Ordinary Least Squares (OLS) multivariate regression model was first used to assess general associations, followed by Geographically Weighted Regression (GWR) and Multiscale Geographically Weighted Regression (MGWR) to identify spatially varying and scale-dependent relationships. Comparing the GWR and MGWR results revealed that several predictors of FPD operate at different spatial scales, reflecting local heterogeneity in health outcomes. Counties in the southeastern United States, particularly those with higher levels of socioeconomic disadvantage and poorer health conditions, showed elevated FPD rates. These findings highlight the importance of accounting for spatial context when addressing physical distress and suggest that locally tailored public health strategies may be more effective than uniform national approaches. Full article

The hollow fiber membrane humidification modules are used for indoor humidification in hot–dry regions and heating in winter. The module is composed of several flexible hollow fiber membranes, which are bent and displaced by gravity and fluid forces. This paper is a further study of previous work that reveals the internal relationship between the forces generated by vortex shedding and fiber vibration. The central trajectories of fibers in the flow field are described for various pulsating flow and fiber structure parameters. The effects of fiber displacement on fluid flow, heat transfer, and mass transfer performance at different parameters are discussed. The results show that the fiber displacement in the flow field consists of two components: (i) deformation caused by fluid drag force and gravity and (ii) periodic vibration caused by periodic lift and drag force as vortices shed at the fiber surface. The fiber vibration facilitates the vortex shedding on the fiber surface, which enhances the convective heat and mass transfer performance on the fiber surface. The average friction factor (f_m,v), Nusselt number (Nu_m,v), and Sherwood number (Sh_m,v) increased by 12.9%, 39.3%, and 20.0%, respectively, when the fiber vibrated compared to non-vibration. This implies that inducing fiber vibration can optimize the heat and moisture transfer performance. Full article

Stress caused by suboptimal temperatures (ST) represents a stress that limits growth in all grasses without inhibiting their activity and induces alterations in photosynthetic performance. We evaluated the responses of photosynthetic parameters and leaf elongation between two groups of grass genotypes with different levels of tolerance to ST, belonging to phylogenetically distant species. Responses to ST depended on the type of parameter and on the genotypic group. Leaf elongation traits showed discriminatory power, especially the area under the leaf elongation curve, which integrated the early and transient effects of stress over time. The photosynthetic parameter PI_ABS showed lower discriminatory power compared with the area under the leaf elongation curve. However, a deeper analysis of other photosynthetic parameters revealed an increase in energetic connectivity between Photosystem II centers in tolerant, but not in sensitive, genotypes. A subsequent analysis of leaf and cellular parameters of early leaf elongation dynamics indicated that ST reduced meristematic activity in all genotypes, but the tolerant genotype group maintained a greater accumulation of mature cells compared with the sensitive genotype group. Overall, the results suggested a response to ST in tolerant genotypes, but not in sensitive genotypes, related to the early dynamics of leaf and cellular growth parameters to partially compensate for the restrictive effect of ST on leaf elongation not recorded. In parallel, they also indicated a response of the tolerant genotypes to ST in terms of photosynthetic parameters, probably as a pathway to maintain cellular homeostasis, to prevent photooxidative damage in PSII under stress. However, the relationship between both responses does not appear to be strictly linear, but rather would be mediated by coordinated adjustments in the temporal dynamics of growth, suggesting a functional integration between photosynthetic performance and the cellular mechanisms that regulate leaf expansion under ST stress. Full article

High-fidelity acquisition of canopy phenotypic data is critical for the advancement of orchard Artificial Intelligence (AI). Yet, an improper Light Detection and Ranging (LiDAR) installation height (IH) frequently induces data occlusion and substantial measurement errors. To address this limitation, this study developed an information collection vehicle (ICV) integrated with a 16-channel three-dimensional (3D) LiDAR to determine the optimal LiDAR IH. Three representative LiDAR IHs (1.4 m, 2.0 m, and 2.6 m) were evaluated on spindle-shaped cherry trees under both forward and reverse driving strategies. Subsequently, a novel 12-zone refined evaluation framework was introduced to quantify localized errors that are conventionally obscured by traditional whole-canopy metrics. Results demonstrated a profound nonlinear relationship between IH and measurement accuracy. Specifically, the 2.0 m IH (approximating the canopy’s geometric center) emerged as the optimal setup, maintaining relative errors (REs) below 5% with minimal dispersion. Conversely, the 2.6 m IH caused lower-canopy volume REs to surge beyond 16% owing to restricted downward viewing angles. Additionally, reverse driving at higher IHs exacerbated mechanical vibrations via the “lever arm effect”, thereby significantly degrading point cloud registration accuracy. Ultimately, these findings underscore the critical necessity of aligning sensors with the canopy geometric center, supplying essential theoretical guidelines for the hardware design of future orchard robots. Full article

The large yellow croaker (Larimichthys crocea) is a key mariculture species in China, however, its industry is threatened by visceral white nodules disease (VWND) caused by the bacterium Pseudomonas plecoglossicida. A significant challenge in breeding is the potential genetic trade-off between growth and disease resistance. To investigate their genetic relationship, we constructed a high-density SNP-based genetic linkage map for L. crocea using a F1 full-sib family (n = 150). The map comprised 24 linkage groups with 32,429 bin markers and an average interval of 0.051 cM. Based on this map, we conducted QTL mapping for one yield trait (body weight), eight morphological traits, and three VWND-resistance traits (survival time, AT; spleen and liver pathogen loads). Phenotypic analysis revealed strong integration among growth traits and a moderate positive correlation between growth traits and AT. QTL mapping identified 53 QTLs for growth (PVE = 0.14–5.83%) and 20 for resistance (PVE = 0.78–8.93%). Notably, only two genomic intervals exhibited co-localization between a morphological trait (AL or BL) and AT, each explaining a modest phenotypic variance (0.66–5.99%). The largest-effect QTLs for growth and resistance were mapped to distinct linkage groups, and candidate genes within the co-localized intervals (Unc5d, SCN5A, HUS1) are involved in fundamental cellular processes rather than core growth or immune pathways. These results suggest that yield, morphological, and VWND-resistance traits in L. crocea are largely under independent genetic control within the studied family, indicating that simultaneous improvement of growth and disease resistance is feasible. This study provides a molecular basis for breeding strategies aimed at overcoming the trait trade-off bottleneck in this economically vital species. Full article