Search Results (1,352)

In high-speed parachuting, complex turbulent phenomena (i.e., deadly vortices) may cause problems such as parachute inflation delay or even deployment failure. To address these issues, this study develops a high-precision numerical simulation dummy model in which adaptive mesh generation techniques, combined with Euler–Lagrange bidirectional coupling based on a large eddy simulation, are employed to model the multiphase flow field during parachute descent. The key parameters are adjusted, and the numerical model is refined based on wind tunnel experiments and User-Defined Functions. The bidirectional validation of the experimental and simulated data reveals the mechanism of turbulent flow formation and its evolutionary patterns around the parachutist–parachute system for different lateral and descent velocities during the high-speed descent phase. A prediction model based on a multi-information fusion neural network algorithm is further established to address the challenge in special parachuting scenarios whereby vortices in the flow field around the parachutist prevent the parachute from opening. The model integrates the Haar wavelet to extract global low-frequency features that characterize the overall structure and trends, an energy valley optimization algorithm, a convolutional neural network, a bidirectional long short-term memory network, and a self-attention mechanism to achieve one-second-ahead turbulence prediction. With nine physical quantities as inputs and descent velocity as the output indicator, the model has a Root Mean Square Error of 0.085, a Mean Absolute Error of 0.051, and a Mean Absolute Percentage Error of 0.0021. Full article

Interface interaction mechanics analysis is of great significance for robot-assisted insertion surgery in minimally invasive surgery and therapy. Previous work indicates that the accurate modeling of soft tissue puncture forces plays a crucial role in surgical planning, robotic needle insertion, and biomechanical simulation, which can give insights useful for physicians to guide and operate assisted robots. The objective of this study is to develop a dynamic multi-component force model that integrates cutting force, stiffness resistance, and frictional interaction to characterize needle–soft tissue interaction during puncture. A dynamic force model is proposed, and a lateral periodic disturbance mechanism is introduced into the simulation framework in order to enhance the robustness and realism of the model under micro-manipulation scenarios. The model has been validated using a series of controlled puncture experiments on porcine liver and renal tissues under varying insertion angles (15°, 30°, 45°) and speeds (0.5 mm/s, 1.5 mm/s, 2.5 mm/s). Corresponding finite element simulations were also conducted using ANSYS software. The agreement between simulation and experiment has been quantitatively evaluated by comparing force–depth and force–time curves, and the statistical significance of the impact of angle and speed on puncture forces has been assessed using ANOVA and Tukey’s HSD tests. Quantitative comparison demonstrated strong consistency, with the optimal case reaching a coefficient of determination (R²) value of 0.96 and Root Mean Square Error (RMSE) below 0.13 N after incorporating a 0.05 mm lateral perturbation. Statistical analysis confirmed the impact of angle and speed on puncture force responses (p < 0.05). Furthermore, comparative analysis revealed that porcine liver exhibits more consistent biomechanical behavior than renal tissue, particularly under perturbation-enhanced simulation. This study successfully establishes a dynamic multi-component force model for soft tissue puncture, validated with high fidelity against experimental data. The incorporated lateral disturbance mechanism enhanced the model’s realism. This work can provide a reliable foundation for the future design of intelligent robot-assisted puncture systems and high-fidelity simulation-based training platforms. Full article

Advancements in precision livestock farming and machine learning have expanded the use of data-driven approaches for milk yield forecasting. In this study, a previously developed feedforward neural network (FFNN) model using genomic breeding values, parity, days in milk, month of calving, and age at calving as predictors was validated across one generation of Holstein cows. Specifically, the model was evaluated in first-parity daughters of the animals included in the original training population. Predictive performance was assessed on 228 lactation curves comprising 67,010 daily observations using a train–cross-validation–held-out test framework. On the test set, the model achieved a daily root mean squared error (RMSE) of 5.98 kg/day, with a Pearson correlation of 0.64. Sensitivity analyses were conducted by systematically shifting calving month and age (±1 to ±4 months) while holding other predictors constant. Simulated scenarios suggested increased predicted milk yield with later calving ages; however, these results reflect the structure of the training data rather than prescriptive management recommendations. While the FFNN provides robust milk yield predictions, its practical application for calving strategy decisions should be integrated with economic and reproductive considerations. Overall, the findings support the generational robustness of FFNN-based milk yield forecasting within the studied herd. Full article

To investigate how different training modes of salt stress priming affect the dynamic variation of the salt tolerance threshold (STT) in summer maize, a micro-plot experiment with staged brackish water irrigation was conducted. Based on physiological and biochemical parameters, along with shoot and root traits, a dynamic salt tolerance coefficient (α_STT) was defined to quantify STT across growth stages. The results revealed a clear two-stage adaptive response to salt stress, consisting of an initial physiological adaptation phase followed by a phenotypic adaptation phase. Different training modes induced distinct salt stress memory effects by regulating the coordination between these two stages. Among treatments, the S_1-2-3 regime—corresponding to mild (2.0 g·L⁻¹), moderate (4.0 g·L⁻¹), and severe (6.0 g·L⁻¹) salinity applied sequentially at the six-leaf, ten-leaf, and tasseling stages—exhibited the most favorable adaptive outcome, with α_STT gradually recovering to 1.0 at later stages and a concomitantly higher STT. Furthermore, a unified predictive framework was established to estimate STT dynamics, within which the process-constrained PCR-STP pathway outperformed purely data-driven pathways. Overall, our study elucidates the dynamic nature of salt tolerance in summer maize and provides a scientific basis for optimizing brackish water irrigation regimes and refining salt stress modules in crop models. Full article

Plants are frequently exposed to various abiotic stresses during their growth and development. S. portulacastrum possesses inherent tolerance to salinity and heavy metals, yet the underlying molecular mechanisms remain poorly understood. In this study, we performed a comprehensive analysis of S. portulacastrum by integrating full-length transcriptome sequencing and RNA sequencing (RNA-seq) under salt stress conditions. Transcriptome analysis identified 2839 and 1813 DEGs in leaves and 7328 and 754 DEGs in roots at 7 and 14 ds after NaCl treatment, respectively. Pathway enrichment analysis indicated that these DEGs were significantly enriched in pathways associated with Photosynthesis, plant hormone signal transduction, Linoleic acid metabolism, chlorophyll metabolism, and amino acid metabolism. Expression profiling showed that JAZ subfamily genes were significantly upregulated in both leaves and roots under salt and Cd stress. We cloned SpJAZ1, SpJAZ5, and SpJAZ7, and generated their overexpression lines in Arabidopsis. Physiological assays demonstrated that overexpression of SpJAZ1, SpJAZ5, and SpJAZ7 reduced hydrogen peroxide content by 29.07%, 20.62%, and 19.79%, respectively, and lowered the reduction in chlorophyll content (0.12, 0.15, and 0.17 μg/mL vs. 0.22 μg/mL). Meanwhile, proline content was increased in these lines (2.34, 2.08, and 2.05 μg/mL vs. 1.53 μg/mL), alongside enhancements in root length, lateral root number, and water content under salt stress. Importantly, these overexpression lines displayed a similar functional trend under Cd stress. Collectively, our results reveal potential crosstalk between the JA signaling pathway and stress mitigation pathways in S. portulacastrum in response to salt and Cd stresses. Full article

Background/Objectives: Neurodegenerative diseases (NDs) have a severe impact on patients’ quality of life, and effective treatments remain limited. As the focus is on treating the symptoms, the root cause of the problem is commonly not addressed. Mesenchymal stem cells show an emerging potential due to the ability for self-renewal combined with their capability for differentiation into various cell lines, which makes them a strong candidate for regenerative therapies in general, and for application in neurological issues in particular. This article provides an overview of the safety, efficacy, and challenges associated with the use of mesenchymal stem cells (MSCs) and their derived secretome in clinical and preclinical models of Alzheimer’s disease (AD), Parkinson’s disease (PD), Huntington’s disease (HD) and amyotrophic lateral sclerosis (ALS). Methods: A systematic search was conducted on PubMed to identify published studies providing clinical and preclinical evidence on the use of MSCs in neurodegenerative disorders. Results: Overall, the literature consistently indicates that MSCs and their derivatives exert disease-modifying effects across multiple NDs. Across AD, PD, HD and ALS, preclinical studies uniformly report improvements in behavioural outcomes, attenuation of neuroinflammation, and neuroprotective effects, largely mediated by MSCs’ paracrine signalling rather than direct cell replacement. Clinical studies to date consistently support the safety and feasibility of MSC-based therapies, while efficacy signals remain modest, heterogeneous and predominantly short-term, highlighting the need for larger, well-controlled trials. Conclusions: Integration of genetic engineering, preconditioning, and EV technology may represent an emerging therapeutic approach that may complement existing neuroregeneration treatments, offering a scalable and minimally invasive frontier to improve long-term clinical outcomes in patients with AD, PD, HD, and ALS. Full article

Social capital influences community disaster preparedness, response, and recovery. In 2020, Kyne and Aldrich introduced the Social Capital Index (SoCI), a pioneering, publicly available county-level measure capturing bonding, bridging, and linking social capital across the United States. Since then, the SoCI has been widely adopted across disciplines and applied in diverse research contexts. Five years later, emerging theoretical developments and expanded data availability offer an opportunity to reassess its diffusion and strengthen its methodological foundations. This study addresses three objectives: (1) revisiting the conceptual roots that informed the original index, (2) examining its diffusion through citation and co-citation analyses of published literature, and (3) updating and extending its measurement framework using 2022 data. The results show that theories of bonding, bridging, and linking social capital shaped the index’s design; that the SoCI has diffused across environmental science, public administration, geography, public health, and sociology; and that expanding the index from 19 to 26 indicators enhances its theoretical alignment and empirical coverage. These updates improve the SoCI’s ability to complement existing indicators and deepen understanding of relational capacity, vulnerability, and resilience across U.S. counties. Full article

Against the backdrop of significant climate change, resource constraints, and industrial upgrading, optimizing the coupling and coordination of the Water–Energy–Food (WEF) system in Northeast China is crucial for ensuring regional security and sustainable development. Existing research lacks long-term continuous analysis and inter-provincial comparisons. This article utilizes data from 2005 to 2023 to evaluate the development of the three provinces of Northeast China using a framework of 24 indicators covering safety, coordination, and resilience. Methodologies employed include the entropy weight method, the coupling coordination model, and the constraint model. The results show that: (1) The overall development level fluctuates with an overall upward trend, reaching a medium-coordinated level, and there are notable differences between provinces. (2) The coordination levels among provinces initially diverged but later converged, evolving from near dysfunction to a state of moderate coordination. Additionally, a bidirectional reinforcement mechanism has formed between system security and coupling coordination. (3) The key obstacles are deep-rooted in the system’s structure and have cross-provincial implications due to interconnected infrastructure, among which energy self-sufficiency and water-use efficiency are the primary constraints. (4) Resilience serves as a key mediating variable in regulating the relationship between security and coordination within the WEF system. In order to achieve a high level of coordination between WEF systems, it is necessary to formulate tailor-made subsystem governance policies, enhance the technological empowerment of water and energy conservation and efficiency improvement, and promote the development of resilient infrastructure. This integrated approach could systematically resolve resource competition conflicts, thus enhancing the overall resilience and sustainability of regional development. Full article

Soil salinization severely restricts the sustainable development of the pear industry. Pyrus betulifolia, a vital native salt-tolerant rootstock in China, holds great significance for investigating stress resistance mechanisms. Plant-specific DNA-binding One Zinc Finger (Dof) transcription factors act as pivotal regulators in stress adaptation. However, their functions in P. betulifolia remain largely unexplored. In this study, we identified 43 PbeDof members within the P. betulifolia genome and classified them into eight subfamilies via phylogenetic analysis. Gene structure and conserved motif analyses revealed that PbeDof members within the same subfamily share similar exon-intron organizations and protein architecture, suggesting evolutionary conservation. Promoter analysis indicated that PbeDof genes are rich in cis-acting elements related to light, phytohormones (especially ABA and MeJA), and stress responses, implying their potential roles in diverse biological processes. Chromosomal localization and collinearity analyses revealed that segmental duplication was the primary driver of this family’s expansion. Combined transcriptomic profiling and qRT-PCR assays demonstrated that PbeDof9.1 is predominantly expressed in roots and is strongly induced by salt stress. Subcellular localization confirmed that PbeDof9.1 targets the nucleus. Functional characterization indicated that heterologous overexpression of PbeDof9.1 in Arabidopsis thaliana significantly enhances salt tolerance at germination and seedling stages. Notably, under 175 mM NaCl stress, the transgenic lines exhibited a superior root system architecture, with primary root length and lateral root numbers being approximately 1.5-fold higher than those of the wild type. Furthermore, homologous overexpression in pear calli confirmed that PbeDof9.1 mitigates oxidative damage by boosting the activities of peroxidase (POD) and catalase (CAT) to scavenge reactive oxygen species (ROS), thereby reducing malondialdehyde (MDA) accumulation. Collectively, this study characterizes the PbeDof family and establishes PbeDof9.1 as a key candidate gene for the genetic improvement of salt tolerance in pear rootstocks. Full article

In response to the problems of loose soil structure and insufficient water and nutrient retention capacity of sandy bank slopes in arid regions, which constrain vegetation establishment and long-term slope stability, this study focuses on typical sandy soils in arid northwestern China. The desert plant Alhagi sparsifolia, characterized by clonal root sucker reproduction, was selected as the study species to construct and optimize a composite-amended sandy substrate suitable for ecological restoration of bank slopes. Based on an orthogonal experimental design, carboxymethyl cellulose sodium (CMC), straw fibers (SF), and fly ash (FA) were combined at different proportions to assess (i) the vertical distribution of soil water and nutrients in the A. sparsifolia growth habitat, (ii) aggregate structure, (iii) plant trait responses to environmental regulation, and (iv) the shear strength of root–soil composites. The results indicate that when the contents of CMC, SF, and FA were 0.5%, 1.0%, and 5.0%, respectively, the substrate environment promoted a vertically oriented root system with pronounced lateral root development in A. sparsifolia, and the plants adopted an adaptive strategy that balances resource acquisition efficiency and environmental constraints by regulating aboveground growth allocation. This growth pattern reduced the risk of disturbances to slope stability caused by excessive aboveground biomass while maintaining the sand-fixing function of root morphological traits. This study provides a plant functional trait-based regulation strategy for ecological restoration of typical sandy slopes in arid regions, and the proposed composite substrate optimization scheme offers a feasible reference for improving vegetation establishment and substrate performance in sandy habitats. Full article

Objectives: This study aims to assess the prevalence of complications and failures associated with impacted canine eruption in a specialized referral center, with the goal of identifying factors that contribute to these outcomes. Methods: This retrospective cohort study included cases of impacted canines treated at the School of Dental Medicine between 2010 and 2020. Clinical and radiographic data were collected and evaluated for failures and complications by two independent clinicians (MK, MG). In addition, specialists in oral and maxillofacial surgery and orthodontics (YM, TS, NS) independently assessed all complications and failures. Results: Among the 214 impacted maxillary canines included, 23 (10.7%) failed to erupt following initial surgical–orthodontic treatment and required re-intervention. Eruption difficulty was attributed to orthodontic factors in 43.5% of cases, surgical factors in 13.0%, and combined factors in the remainder. Following a second procedure, 15 canines erupted successfully, while 8 did not, resulting in an overall failure rate of 3.7%. Treatment failure was significantly associated with both anatomical and procedural factors. Canines with centrally positioned crowns exhibited a significantly higher failure rate than those with buccal or palatal positions (χ² test, p = 0.025). Failure was also more common when the canine root apex was located in close proximity to a cortical plate. Lateral incisor root resorption was significantly associated with treatment complications (p = 0.030). In the multivariable logistic regression analysis, root resorption remained an independent predictor of treatment failure, increasing the odds of failure approximately fourfold (OR = 0.255, CI = 0.077–0.843, p = 0.025). Timing and surgical technique were also significantly associated with treatment outcome. Surgical exposure performed shortly after diagnosis was linked to an increased risk of treatment complications (p = 0.006). Closed surgical exposure demonstrated a significantly higher failure rate compared with open exposure (Pearson exact test, p = 0.009). Although open exposure was associated with a greater likelihood of successful eruption, it was also significantly associated with increased gingival morbidity (Fisher’s test, p = 0.030). Conclusions: Failure of impacted maxillary canine eruption following combined surgical–orthodontic treatment is uncommon but is significantly associated with distinct anatomical and procedural risk factors. Central crown position, cortical plate involvement, lateral incisor root resorption, early surgical exposure, and the use of closed exposure techniques all increase the likelihood of treatment failure and complications. Although open exposure enhances the probability of successful eruption, it may also negatively affect gingival outcomes, underscoring the need for individualized, multidisciplinary treatment planning. Full article

Root-associated microbes play a crucial role in plant growth, stress resistance and the accumulation of secondary metabolites. In this study, LC-MS analysis revealed that soil provenance exerts a decisive influence on the content of flavonoids and astragalosides in Astragalus membranaceus. Transplant assays revealed that each soil type acted as a selective filter, assembling distinct microbial communities in both the rhizosphere and root of Astragalus membranaceus. The rhizosphere taxa selected from Yangling soil specifically enhanced flavonoid levels, whereas the root taxa selected from TanChang soil drove higher astragaloside accumulation. SourceTracker revealed that seedling root-endosphere ASVs served as the primary inoculum for later communities, confirming strong priority effects among early colonizers. Keystones tightly linked to both metabolite contents and biomass belonging to Caulobacteraceae, Acidimicrobiia, Sutterellaceae, Bradyrhizobium, Sphingomonas and Mesorhizobium were isolated, and the SynComs were constructed. In Tanchang soil, SynComs inoculation raised Astragaloside IV (AST IV) and Calycosin-7-glucoside (CAG) contents by 52.30% and 55.73%, respectively; in Yangling soil, the same consortium increased Astragaloside I (AST I), Astragaloside II (AST II), AST IV and CAG by 29.38%, 39.04%, 54.97% and 58.98% compared to the uninoculated controls. Collectively, our work charts the transplantation-driven dynamics of root-associated bacterial communities and medicinal metabolites, pinpoints keystones that govern ingredient accumulation and delivers validated microbial strains for enhancing the quality and pharmaceutical value of Astragalus mongholicus. Full article

Recycling vineyard pruning residues into compost and vermicompost represents a sustainable strategy to reduce viticulture’s reliance on chemical fertilizers. Nonetheless, their effects on plant performance remain poorly understood. This study evaluated the effect of vine pruning residues compost and vermicompost on the physiological, biochemical, and growth performance of Vitis vinifera L. cv. Touriga Franca, in comparison with mineral fertilization and an unfertilized control. A pot experiment was conducted from April to September 2024 in northern Portugal under Mediterranean climate conditions, using one-year-old grapevines and subjected to four fertilization treatments. Leaf gas exchange, chlorophyll a fluorescence, photosynthetic pigments, antioxidant and osmoprotective metabolites, and shoot and root development were assessed at three sampling dates during the growing season. Organic amendments enhanced photosynthetic performance and root growth relative to the unfertilized control. Vermicompost promoted higher CO₂ assimilation, stomatal conductance, and shoot and root elongation, whereas compost increased intrinsic water use efficiency, photochemical regulation, and root biomass. Biochemical analyses indicated that compost favored protein and carotenoid accumulation, while vermicompost increased proline and later protein levels, alongside reduced phenolic and flavonoid contents. Despite their similar chemical composition, compost and vermicompost induced distinct physiological responses driven by differences in biological activity and nutrient dynamics. These findings demonstrate that pruning-derived organic amendments can match mineral fertilization in supporting grapevine performance while offering additional benefits for stress regulation and sustainable vineyard management. Full article

Background: Regenerative endodontic treatment (RET) has emerged as a biologically based alternative to traditional apexification for managing immature permanent teeth with pulp necrosis. By promoting tissue ingrowth and continued root development, RET aims not only to eliminate infection but also to reinforce structurally compromised roots. Although its clinical use has expanded, evidence regarding the long-term predictability and durability of RET remains limited, as most published studies provide only short- or mid-term follow-up. Case presentation: This report describes two pediatric cases involving regenerative procedures performed on three immature permanent maxillary incisors, each followed for more than six years. The first case involved a 7-year-old girl who developed pulp necrosis in a maxillary lateral incisor after acute dental trauma. Management followed a regenerative protocol using triple antibiotic paste (ciprofloxacin, metronidazole, and minocycline) as intracanal medication and mineral trioxide aggregate as the coronal barrier. The second case concerned an 8-year-old girl presenting with chronic infection and sinus tracts affecting both maxillary central incisors. These teeth were treated using a regenerative approach with calcium hydroxide as the intracanal medicament and Biodentine as the sealing material. Clinical, radiographic, and cone beam computed tomography evaluations demonstrated complete symptom resolution and periapical healing but incomplete progressive apical closure. All treated teeth developed a calcified apical barrier, and outcomes remained stable throughout the extended follow-up period. Conclusions: While inherently limited by the nature of case reports, these findings support RET as a reliable and durable therapeutic option for necrotic immature permanent teeth, including cases in which conventional apexification has not been successful. Full article

Background/Objectives: Fluoroscopically guided cervical nerve root corticosteroid injections are used for the treatment and diagnosis of radicular pain. Including a local anesthetic with the injected corticosteroid may decrease the pain associated with the procedure and add immediate diagnostic value. However, little is known about the safety of including a local anesthetic with a corticosteroid in these injections. Methods: A total of 299 consecutive cervical nerve root injections, performed between 2016 and 2024, were reviewed. Demographic and injection information (level/laterality and inclusion/exclusion of 1% preservative-free lidocaine with dexamethasone injectate) were documented. Charts were reviewed for major complications and increased pain post-procedure. Categorical data were compared between groups using Fisher’s exact test or Chi-square testing. Results: Injections were performed with 10 mg of dexamethasone only in 263 cases and with a mixture of 10 mg of dexamethasone and 1 mL of 1% lidocaine in 36 cases. There was no statistically significant difference in the incidence of major complications (p ≈ 1) or immediately increased pain post-procedure (p = 0.799). Conclusions: With proper technique, there is no evidence from this case–control study or in the available literature to suggest that including lidocaine with corticosteroid increases risks associated with cervical nerve root injections. However, serious adverse events are theoretically possible with injection of local anesthetic into a radicular artery, the vertebral artery, or subdural space. Given that such risks are not associated with the use of non-particulate steroids alone, large multi-institutional studies are needed to draw confident conclusions on the risks and benefits of the inclusion of local anesthetics with non-particulate corticosteroids for cervical transforaminal epidural steroid injection to inform clinical practice. Full article