Search Results (2,802)

Background/Objectives: Dysregulated macrophage M1/M2 polarization is implicated in glucocorticoid-induced osteonecrosis of the femoral head (GONFH). Reprogramming M1 to M2 macrophages represents a potential therapeutic strategy. Kaempferol (KPF), a natural flavonoid with anti-inflammatory properties, may offer benefits, but its mechanism in GONFH is unknown. Purpose: This study aims to explore the therapeutic impact of KPF on GONFH and the mechanisms involved. Methods: In vitro, macrophage viability (CCK-8 assay) and polarization (RT-qPCR, flow cytometry) were assessed. Conditioned medium from KPF-treated macrophages was co-cultured with BMSCs and HUVECs to evaluate osteogenic and angiogenic effects. Mechanisms were analyzed using Western blot, immunofluorescence, and flow cytometry. A rat GONFH model validated in vivo effects. Results: In vitro experiments revealed that KPF significantly augmented the ratio of M2 macrophages while concurrently diminishing the proportion of M1 macrophages. The conditioned medium derived from macrophages treated with KPF markedly improved the osteogenic and angiogenic capabilities of BMSCs and HUVECs. Immunofluorescence staining and Western blot revealed that KPF regulated macrophage polarization by enhancing mitophagy, which was reversed by the addition of a mitophagy inhibitor. Further experiments confirmed that KPF activated mitophagy by inhibiting the RhoA/ROCK signaling pathway. In vivo, KPF increased the proportion of M2 macrophages and promoted the expression of osteogenic and angiogenic markers. Conclusions: In conclusion, our study demonstrates that KPF alleviates GONFH by modulating macrophage M1/M2 polarization through RhoA/ROCK-mediated mitophagy activation. These findings provide novel insights into the treatment of GONFH. Full article

In side-impact collisions, the occupant in the non-impacted far-side position faces a high risk of death and serious injury. However, current research on injury to far-side occupants remains limited. This study utilized 40 real-world side collision cases to extract dynamic boundary condition parameters of the impacted vehicle through kinematic reconstruction. These parameters were input into a simplified finite element (FE) vehicle model equipped with a human body FE model in the far-side position. Simulation calculations were performed to obtain head and chest injury parameters for the far-side occupant and assess their injury risk. Finally, the study focused on analyzing the effect of vehicle motion boundary conditions on far-side occupant’s injury risk. The assessment based on the head injury criterion HIC₁₅ shows a low head injury risk for the far-side occupant. However, using the BrIC metric, which accounts for head rotational motion, reveals a significant risk of severe traumatic brain injury in some cases. Regarding chest injury, analysis based on the effective plastic strain of ribs indicated a low risk of rib fractures. However, results from the chest viscosity criterion (VC) and internal organ strain analysis suggested a high risk of soft tissue injury in the chest. This computational investigation, leveraging biofidelic human models, underscores that the human body’s response to complex, multi-directional impacts is not fully captured by traditional metrics. This study concludes that addressing the protection of the far-side occupant is essential in side-impact safety design, with particular emphasis on the unique injury risks posed by vehicle rotational motion, potentially inspiring biomimetic safety systems that better adapt to these complex loading conditions. Full article

Background: In head and neck reconstructive surgery, flap loss remains a major complication and continues to represent a significant challenge in perioperative management. Although free tissue transfer is widely used, unsatisfactory outcomes are still reported across different flap procedures. Anaesthetic management plays an important role in influencing flap perfusion through its effects on systemic haemodynamics, regional blood flow, and microcirculation. However, there is currently no consensus on universally acceptable haemodynamic targets, and the impact of intraoperative strategies appears to be highly application-specific. Materials and Methods: This narrative review was conducted in accordance with the 2019 SANRA guidelines. PubMed^® was used as the primary database for literature selection. Relevant studies addressing anaesthetic management in head and neck free flap surgery were reviewed, with a particular focus on intraoperative haemodynamic control, ischemia–reperfusion injury, fluid and transfusion management, vasoactive agents, and advanced monitoring techniques. Results: Ischemia–reperfusion injury represents a major mechanism of vascular compromise in free flap surgery and has a significant impact on microcirculatory perfusion. The literature suggests that several anaesthetic strategies—including goal-directed fluid therapy, cautious use of vasopressors, and advanced haemodynamic monitoring—may support intraoperative haemodynamic stability and improve flap perfusion. Nevertheless, the magnitude of haemodynamic improvement achievable with these strategies and their effect on graft survival vary according to patient characteristics, surgical factors, and flap type. Conclusions: Current evidence indicates that anaesthetic management has the potential to contribute to improved intraoperative haemodynamic control in head and neck free flap reconstruction, thereby supporting graft viability. However, haemodynamic targets and management strategies cannot be generalised and should be interpreted within specific clinical contexts. Rather than aiming for optimisation, future research should focus on defining acceptable clinical outcomes for individual applications and on evaluating whether achievable haemodynamic improvements are sufficient to reduce flap-related complications to clinically acceptable levels. Full article

This comprehensive review maps how China’s demand-side resources are aggregated, bid into markets, and monetized at the grid edge. We synthesize original studies and pilots to compare edge architectures for local estimation and privacy-preserving coordination, bidding frameworks that span deterministic, stochastic, chance-constrained, and robust designs, and retailer plan optimization that turns wholesale signals into simple user choices. Our headlined findings are fourfold. First, risk-aware bidding frameworks that use chance constraints or conditional value at risk (CVaR) reduce shortfalls without eroding expected revenue when penalties are strict and data are noisy. Second, joint design of retail prices with storage dispatch stabilizes delivery and consumer bills, raising participation and persistence. Third, intraday refresh of envelopes and redispatch improves balance and profit when provincial rules allow updates. Fourth, transparent baselines and settlement rules determine realized value and should be co-designed with aggregation and pricing. We organize reproducible metrics for revenue, reliability, latency, and consumer welfare, and provide simulation templates aligned with Chinese spot practice to enable head-to-head comparisons. The review closes with a research agenda on correlation modeling for heterogeneous portfolios, distribution-aware coordination, and long-run equipment impacts as areas where larger field trials and open data would unlock credible evaluation and faster deployment in China. Full article

To address the issues of insufficient hydrodynamics and water stagnation in plain river network areas, this study focuses on the typical river network of the Nanxun Campus of Zhejiang College of Water Resources and Hydropower. It aims to optimize the deployment and determine the operational parameters of a bionic hydrofoil pumping device. A 2D hydrodynamic model is built using MIKE21 to simulate flow field characteristics under various conditions, including different placement positions, with or without water-blocking measures, and combinations of flow rate, water level, and flow direction. The impacts of these conditions on system head loss and river velocity are analyzed. Results show that the optimal setup involves deploying the device near the pump house with water-blocking measures, at a flow rate of 1 m³/s, a designed water level of 2.55 m, and a counterclockwise direction. This setup maintains a river velocity of no less than 0.02 m/s, meeting daily water circulation needs. The target hydraulic parameters (flow rate of 1.0 m³/s and head of 0.084 m) are used to propose a similarity theory for hydrofoils, establish scaling relationships, and derive the minimum operational frequency of three serial bionic hydrofoil pumps at 0.268 Hz under this setup. To inhibit algal growth during special periods, the velocity is raised to 0.15 m/s, requiring an increase in frequency to 2.008 Hz. These findings offer a theoretical basis and engineering support for the application and operational parameter design of bionic hydrofoil pumping devices in complex river networks. Full article

One of the major challenges in autonomous path following for unmanned surface vehicles (USVs) is the impact of stochastic environmental forces—primarily wind, waves and currents—which introduce nonlinearities that affect control models. Conventional strategies often rely on minimizing cross-track error, resulting in a reactive system that corrects heading only after a disturbance has displaced the vessel, potentially leading to oscillatory behavior and reduced precision. Deep Reinforcement Learning (DRL) is successfully used for a wide range of nonlinear control tasks. It has already been shown that robust solutions that can handle disturbances such as sensor noise or changes in system dynamics can be obtained. This study investigates whether an agent, provided it can explicitly observe disturbances, can go beyond simply correcting deviations and autonomously learn the correlation between environmental conditions and necessary counter-forces. We show that integrating the wind vector directly into the agent’s observation space allows a Proximal Policy Optimization (PPO) policy to decouple the environmental cause from the kinematic effect, facilitating drift compensation before significant errors accumulate. By systematically comparing agents trained with randomized wind scenarios, we found that agents that can observe the wind can achieve goal reaching rates of up to 99.0% and reduce the spread of path deviation and velocity in our tested scenarios. Furthermore, our results quantify a distinct Pareto frontier between navigational velocity and tracking precision, demonstrating that explicit disturbance perception improves consistency, although robust implicit training already provides substantial resilience. These findings indicate that augmenting state observations with environmental data enhances the stability of learning-based controllers. Full article

Cirsium vulgare (Asteraceae) is a newly emerged invasive species in Yunnan Province, China, and its phytotoxic potential has not yet been studied. This study was conducted to explore potential allelopathic effects of C. vulgare and to identify its flavonoid and phenolic acid compounds. Four aqueous extracts (roots, stems, leaves, and flower/fruit heads) of C. vulgare exhibited high inhibitory activity against the germination and seedling growth of Bidens pilosa and Digitaria sanguinalis. The inhibition rates of germination rate, germination index, root length, shoot length, and biomass of both species increased significantly with increasing concentrations, with B. pilosa being more inhibited than D. sanguinalis. Extracts from leaves and flower/fruit heads yielded the strongest inhibition, followed by stem extracts, with the lowest impact from root extracts. Flavonoids (65.41%) and phenolic acids (23.1%) collectively comprised 88.51% of all identified compounds. Thirty-eight flavonoid compounds and thirty phenolic acid compounds were selected for further analysis, representing 53.97% and 71.91% of the total content of flavonoids and phenolic acids, respectively. Many of the flavonoids and phenolic acids identified have been previously reported as known allelochemicals with possible allelopathic effects. This was the first study to show that the allelopathic potential of C. vulgare may aid its invasion and expansion. Full article

Background/Objectives: Bone grafting is fundamental in oral implantology in order to achieve appropriate esthetic and functional results. One of the options for bone grafting is the use of allografts, which can be produced using femoral heads removed during orthopedic surgeries in accordance with the principles of the circular economy. The aim of this study is to examine the environmental impacts of the production of cancellous block and granulates of bone graft materials produced in this way. Methods: The cradle-to-gate life cycle assessment was performed at the Petz Aladár University Teaching Hospital Tissue Bank Department, Győr, Hungary, with the system boundaries defined and the bone graft material produced during a production process defined as a functional unit. The environmental impacts were determined with the OpenLCA v2.5.0. software, using the ReCiPe v1.03 2016 midpoint (H) and endpoint (H) assessment methods. Results: During the production process, 500 g of bone graft material is produced in both forms, packaged as 1 g. The carbon footprint of the production of the cancellous bone block was 88,972 kgCO₂-Eq, while that of the bone granulates was 100,033 kgCO₂-Eq, to which the chemicals used for the degreasing and deantigenization of the bone tissue contributed the most. Within the impact categories, the material resources of metals–minerals, terrestrial ecotoxicity and climate change contributed the most to the environmental impacts. Within most impact categories, electricity was the most significant influencing factor. Conclusions: The environmental impact of the production of bone substitute granulates is greater than that of the bone block, to which the packaging of the products contributes primarily. Full article

Background/Objectives: Mixed martial arts (MMA) is a popular full-contact combat sport. The aim of this study was to determine injury mechanisms, rates, severity, patterns, circumstances, and the resulting economic healthcare consequences by conducting a detailed survey of competitive and recreational athletes. Methods: In 2023, MMA athletes were retrospectively questioned regarding their injuries in the last 24 months and the resulting healthcare impact (medical attention, hospitalization, incapacity to work). An injury was defined as any physical complaint resulting from MMA exposure. The severity of the injury was categorized according to the resulting restriction of sport participation (i.e., ‘severe’: more than four weeks of restriction). Results: A total of 112 participants (93% male; 41% non-competitive and 59% competitive) were included. All in all, 93,857 h of MMA activities were performed, and 127 injuries were recorded, resulting in an overall injury rate of 1.4 injuries per 1000 h of exposure. Non-competitive athletes reported significantly fewer total injuries in the past 24 months (95% CI 0.87–2.04; p = 0.003) and had significantly fewer severe or even critical injuries compared to competitive athletes (OR 0.55; 95% CI 0.21–1.43; p = 0.042). Head- and neck lesions (20%) were the most common injuries. The most common types of injury were joint sprains (21%) and ligament strains (17%). The healthcare burden of these sports-related injuries was minimal: By median, injuries led to zero days of hospitalization and incapacity to work, with no statistically significant differences between recreational and competitive athletes. Conclusions: Competitive athletes suffer more severe injuries compared to recreational athletes. Overall, injuries in MMA are rare, and the economic impact and burden on the healthcare system are negligible compared to other sport disciplines. Full article

To address the energy dissipation requirements of hydraulic engineering projects with medium-low water heads and medium-high unit discharges, counterflow-type underflow energy dissipation can significantly enhance the energy dissipation efficiency through the head-on collision of flows from spillways on both sides. In this study, the spillway of the Lieshen Reservoir was used as the prototype. Since gravity dominates the flow in spillways, we established a 1:15 physical model based on the Froude similarity criterion, and conducted numerical simulations using the volume of fluid method coupled with the realizable k-ε turbulence model. Furthermore, the hydraulic characteristics of counterflow energy dissipation under different flow rates and stilling basin length conditions were analyzed. The results show that the counterflow energy dissipation rate first increases before decreasing with increasing stilling basin length, and the maximum energy dissipation rate can exceed 85%; however, the change in the stilling basin depth has a small impact on the energy dissipation rate, especially under relatively high flow rates; furthermore, an empirical formula for the conjugate depth after a hydraulic jump suitable for counterflow energy dissipation with Froude number in the range of 2.0 < Fr₁ < 9.7 and stilling basin depth of 0.5–1.5 m is proposed, with the relative error between its predicted and simulated values being less than 6%. Based on the analysis of the water depth outer envelope curve at the outlet section of the stilling basin, it is suggested that the sidewall height be set to 0.6–0.8 times the conjugate depth after the hydraulic jump. Full article

Systemic inflammation is increasingly recognized as a modifier of neurodegenerative outcomes in the central nervous system; however, its impact on retinal ganglion cell (RGC) survival and retinal microglial responses following optic nerve (ON) injury in vivo remains incompletely understood. In this study, we investigated how systemic lipopolysaccharide (LPS)-induced inflammation influences retinal microglial activation and RGC vulnerability under physiological conditions and after traumatic ON damage. In adult female rats, systemic LPS administration by intraperitoneal injection induced rapid and robust microglial activation, characterized by process retraction and soma hypertrophy within hours and promoting microglial proliferation at later stages but without causing RGC loss in intact retinas. Following ON crush, systemic inflammation did not affect early RGC degeneration but significantly exacerbated neuronal loss during the late acute phase. This increased vulnerability was accompanied by a marked rise in microglial density and a pronounced redistribution of microglia toward the central retina and the ON head, a region of heightened anatomical and metabolic susceptibility. Together, these findings demonstrate that, in rats, systemic inflammation alone is insufficient to induce RGC degeneration but acts as a potent priming factor that amplifies neurodegeneration in the context of axonal injury. The temporal and spatial specificity of microglial responses underscores their context-dependent role in retinal pathology and identifies systemic inflammatory status as a critical determinant of retinal outcome after trauma. Targeted, time-dependent modulation of microglial activation may therefore represent a promising therapeutic strategy for optic neuropathies. Full article

The construction cost overrun is an important issue that should be addressed, as it directly impacts many construction companies. Our research objective is to study and rank the impacts of empirical attitudes on construction cost overruns using the matrix analysis method. The research began with a focus group of 78 respondents, including 40 project engineers from contractor construction companies, 18 heads of government sectors related to construction projects, and 20 construction academicians. Based on expert interviews and the focus group discussion, 13 relevant factors were identified, and a questionnaire survey was subsequently conducted for data collection. The results showed that labor shortages were the most important factor influencing construction cost overruns, with the highest eigenvector value of 0.1687. The ranking of factors based on the percentages of average construction cost overruns includes labor shortages, variation orders, financial capacity, material price fluctuations, and drawing conditions, accounting for 18.3%, 15.7%, 12.8%, 10.2%, and 9.0%, respectively. These findings demonstrate the applicability of matrix analysis as a systematic approach for prioritizing empirical managerial attitudes influencing construction cost overruns, thereby providing a structured basis for decision-making in construction cost risk management. Full article

Background: Age-related vestibular decline frequently accompanies presbycusis, and older adults undergoing cochlear implantation (CI) may be particularly vulnerable to postoperative dizziness due to a reduced compensatory capacity and a higher burden of comorbidities. Although CI is an effective treatment for severe-to-profound sensorineural hearing loss in the elderly, its impact on vestibular function remains a critical concern. This study aimed to compare pre and postoperative vestibular performance in older patients (≥65 years) versus younger adults undergoing CI in order to identify the risk factors for postoperative vestibular deterioration and critical issues that characterize this category and carry out personalized preoperative counseling. Methods: In this monocentric observational study, adults undergoing CI were divided into two groups: older patients (OPS, ≥65 years) and younger patients (YPS, <65 years). Vestibular function was assessed preoperatively and one month postoperatively through a Dizziness Handicap Inventory (DHI), history of recurrent falls, clinical examination, video head impulse test (VHIT), bithermal caloric testing, and computerized dynamic posturography (Sensory Organization Test, SOT). Risk factors for postoperative vestibular worsening were analyzed using ANOVA test and chi-square statistics, with significance set at p < 0.05. Results: A total of 63 patients were included, with 18 surgeries involving OPS and 45 involving YPS. Preoperatively, OPS showed significantly higher rates of vestibular abnormalities on caloric testing (55.5% vs. 17.7% bilateral hyporeflexia, p < 0.05) and a higher prevalence of recurrent falls (33.3% vs. 4.4%, p < 0.05). Early postoperative dizziness (DHI¹) increased significantly in both groups, but age ≥ 65 was a risk factor for ≥10% worsening (OR 2.2, p < 0.05). At one month, YPS returned to baseline DHI values, whereas OPS showed persistent dizziness with significantly higher DHI² scores (29.2 vs. 12.9, p < 0.05). Vestibular worsening was identified in 33.3% of VHIT assessments and 44.4% of caloric tests in OPS, with caloric testing proving more sensitive than VHIT. Implantation on the better-functioning vestibular side and the presence of ≥3 comorbidities increased the likelihood of persistent postoperative dizziness. Conclusions: Older age is a significant risk factor for persistent dizziness and vestibular impairment one month after CI. Given the reduced compensatory capacity typical of older adults, vestibular assessment should play a central role in preoperative decision-making, particularly for side selection. Bithermal caloric stimulation is recommended as the most sensitive tool for detecting clinically relevant vestibular changes. Preoperative counseling for older CI candidates should include a detailed discussion of vestibular risks and the possible need for postoperative rehabilitation. Full article

This computational study examined how variations in the seatback angle of two generic child restraint systems (CRSs) affect spinal loading in young occupants (1.5 YO and 3 YO) during frontal impacts, performed according to the specifications included in UNECE R129. CRS seatback angle dictates torso recline, which in turn influences head, chest, and spine kinematics and loading. While manufacturers typically recommend 30–45° for rear-facing CRSs and an upright position for forward-facing CRSs, little is known about the biomechanical implications of deviating from these guidelines. Using PIPER human body models representing a 1.5-year-old in a rear-facing CRS and a 3-year-old in a forward-facing CRS, simulations were performed under UN-R129 frontal impact conditions. The seatbacks were rotated 5° and 10° more upright or reclined relative to the nominal angle, with occupants restrained by a five-point harness and CRSs secured with ISOFIX, top tether, or three-point belt. The results showed that reclined configurations generally increased the predictions of spinal loading (forces and/or moments) given by the PIPER model, while nominal or more upright angles reduced loads, particularly in the lumbar spine of the 3-year-old model. Overall, the study highlights how computational tools can guide CRS design improvements to optimize spinal protection and enhance child safety beyond current regulatory requirements. Full article

Timely and accurate estimation of regional winter wheat yield is of great significance for safeguarding food security and promoting sustainable agricultural development. In recent years, deep learning has been widely applied in crop yield estimation due to its powerful capability in mining complex relationships. However, the irregular shapes of administrative regions pose challenges for integrating spatial data such as remote sensing into deep learning models. To address this issue, this study employed mean-based aggregation and histogram-based dimensionality reduction techniques to preprocess spatial data, including remote sensing and meteorological data, thereby generating sample sets suitable for deep learning models. This study identified the phenomenon of feature conflict when processing heterogeneous features in conventional Long Short-Term Memory (LSTM) models and proposed a TB-LSTM (Two-Branch LSTM) model to mitigate such conflicts. The impact of different input feature combinations on estimation accuracy was analyzed, and the model’s capability for early yield prediction was further evaluated. The results show that: (1) The proposed TB-LSTM model achieved superior performance (R²: 0.853, RMSE: 516.619 kg/ha) compared to the baseline LSTM (R²: 0.353–0.732; RMSE: 735.378–1126.062 kg/ha), confirming its efficiency in resolving feature conflict and better exploiting the yield estimation potential of remote sensing and meteorological data. (2) The integration of meteorological data, spectral reflectance, and vegetation indices proved essential for achieving optimal yield estimation accuracy. Meteorological data provided the most significant contribution, while spectral reflectance and vegetation indices offered complementary information that improved model robustness. When all three data types were utilized simultaneously, the TB-LSTM model achieved peak estimation accuracy (R²: 0.853; RMSE: 514.013 kg/ha; MAE: 380.563 kg/ha). (3) The TB-LSTM model demonstrated robust early prediction capability. Using data from the first 27 time phases (covering growth stages up to heading), it successfully predicted winter wheat yields 48 days before harvest with optimal precision (R²: 0.868; RMSE: 487.327 kg/ha; MAE: 361.353 kg/ha). This capability supports proactive decision-making and resource allocation in agricultural management. Full article