Search Results (5,443)

To elucidate the hydraulic transport characteristics of coarse-particle slurry in deep-sea mining vertical lifting pipelines and the governing effects of key operating parameters, a bidirectionally coupled CFD-DEM model was established, in which seawater was treated as the continuous phase and ore particles were treated as the discrete phase, while particle–fluid momentum exchange and particle–particle/particle–wall collisions were explicitly accounted for. The effects of inlet velocity, feed concentration, particle size, and particle shape on local particle concentration, local particle flow rate, and particle volume fraction distribution were systematically investigated. The results show that increasing the inlet velocity markedly reduces local particle concentration, increases the local particle flow rate, and promotes a faster transition of the solid–liquid two-phase flow toward a uniformly mixed state. Increasing the feed concentration enhances the conveying capacity, but simultaneously increases the risk of particle aggregation. The effect of particle size on local concentration is non-monotonic: the local concentration is relatively high at approximately 20 mm, whereas smaller particles exhibit better flow uniformity. The effect of particle shape is mainly manifested under low-velocity and high-concentration conditions, and gradually weakens with increasing inlet velocity. The present results provide a theoretical basis for parameter optimization of deep-sea mining vertical lifting systems. Full article

The rising market penetration of new energy vehicles (NEVs) is transforming urban traffic into a heterogeneous mix of battery electric (BEVs), hybrid electric (HEVs), and conventional fuel vehicles (FVs). For analytical brevity, traditional internal combustion engine vehicles (ICEVs) are hereafter referred to as ‘fuel vehicles (FVs)’ in the discussion of New Energy Vehicle (NEV) networks. This research investigates the efficacy of centralized coordination for NEVs within a localized region, as opposed to individualized speed control, in enhancing the mitigation of traffic congestion. Evaluating traffic efficiency and decarbonization strategies in such settings often requires extensive random sampling and Monte Carlo simulations over a large set of parameter combinations. However, conventional microscopic traffic simulators (e.g., SUMO), which rely on fine-grained modeling of vehicle dynamics and signal control, incur prohibitive computational time when scaled to large networks and numerous experimental scenarios. In this study, battery electric vehicles and hybrid electric vehicles are designed as density-aware vehicles, whose movement speed is adaptively adjusted according to the regional traffic density in their vicinity and the control parameter β. In contrast, fuel vehicles adopt a stochastic movement speed and, together with other vehicle types, exhibit either movement or stoppage in the lattice environment. This density-driven speed-adaptive control and lattice arbitration mechanism is intended to reproduce, in a simplified yet extensible manner, changes in mobility and traffic-flow stability under high-density traffic conditions. The simulation results indicate that, under the same Manhattan road network and vehicle-density conditions, tuning the β parameter of new energy vehicles to reduce their movement speed in high-density areas and to mitigate abrupt position changes can suppress traffic-flow oscillations, delay the onset of the congestion phase transition, and promote spatial equilibrium of traffic flow. Meanwhile, this study develops simplified energy-consumption and carbon emission models for battery electric vehicles, hybrid electric vehicles, and fuel vehicles, demonstrating that incorporating a speed-adaptive density strategy into mixed traffic flow not only helps alleviate abnormal congestion but also reduces potential energy use and carbon emissions caused by congestion and stop-and-go behavior. From a sensing and practical perspective, the proposed framework assumes that future connected and autonomous vehicles (CAVs) can estimate vehicle states and local traffic density through GNSS–IMU multi-sensor fusion and V2X communications, indicating methodological consistency between the proposed model and real-world CAV sensing capabilities and making it a suitable and effective experimental platform for investigating the relationships among new energy vehicle penetration, density-control strategies, and carbon footprint. Full article

Farmland management rights (FMR) mortgage lending has been advanced as a central instrument of rural credit reform in China, yet the program has consistently failed to sustain itself in the absence of direct government facilitation. Drawing on five national and provincial pilot counties in Henan Province, this study investigates the structural factors underlying this sustainability failure. We employ a sequential mixed-methods design: grounded theory analysis of in-depth interviews, policy documents, and media reports from five focal sites to inductively construct a constraint framework, followed by structural equation modeling (SEM) validation using 1055 survey responses. Our grounded theory analysis identifies three internal constraint categories—property rights insecurity, a thin secondary land market, and subject-level agricultural risk—and one external environmental constraint, which together produce a state of mutual non-recognition: neither financial institutions nor farming households regard FMR as legitimate collateral. Notably, the effect of collateral acceptance on farmer mortgage willingness is statistically insignificant, revealing that demand-side barriers are more deeply entrenched than supply-side institutional improvements alone can resolve. These findings challenge the premise that legal formalization of land rights is sufficient to generate market-driven credit activity, and call attention to the equally important role of institutional ecosystem development—encompassing land markets, appraisal capacity, supervisory infrastructure, and rural credit culture. The insights carry direct relevance for developing economies exploring land-backed agricultural credit as a rural finance strategy. Full article

Understanding forest dynamics requires reliable inventories that assess tree- and stand-level characteristics. Traditionally, this has relied on field measurements such as diameter at breast height (DBH), height, and crown attributes, but these methods are labor-intensive and spatially limited. Remote sensing, particularly Light Detection and Ranging (LiDAR), has expanded forest inventory capacity by generating three-dimensional structural information. Mobile laser scanning (MLS), a recent adaptation, offers flexible, high-resolution data collection, though its performance across complex forests is still being evaluated. This study assessed the effectiveness of MLS in detecting individual trees and estimating DBH in mixed-species forests of the Northeastern United States. We also evaluated the influence of tree- and plot-level characteristics on detection accuracy and DBH estimation. Results showed an 85.2% tree detection rate, a 23.5% commission rate, and a DBH root mean square error (RMSE) of 1.98 cm (9.65%). Among the variables tested, tree DBH was the only significant predictor of detection probability; tree density and relative density had minimal effect. These findings demonstrate that MLS can achieve precise DBH estimation when trees are correctly identified, but false detections remain a limitation. Further methodological improvements are needed to enhance accuracy in structurally complex forests and advance MLS for operational forest monitoring. Full article

Background: In 2020, the first pre-assembled bioprosthetic aortic valved conduit (AVC) was approved in the United States. This study compares its anatomic and functional outcomes to traditional hand-sewn composite conduits in patients undergoing aortic root replacement. Methods: This retrospective study compared 118 patients receiving the pre-assembled AVC (2021–2023) versus 66 patients with hand-sewn conduits (2012–2020) after elective bio-Bentall procedures. Primary outcomes were post-operative mortality and complication rates. Secondary outcomes included anatomic and hemodynamic changes. Graft dimensions were obtained from post-operative computed tomography (CT). Echocardiographic parameters were collected at early and late follow-up. Between-group differences and longitudinal changes were assessed using linear mixed-effects models. Results: Groups were comparable in age (pre-assembled 63 ± 11 vs. hand-sewn 64 ± 11 years) and predominantly male. Despite significantly higher concomitant hemiarch rates in pre-assembled conduits (91.5% vs. 28.8%, p < 0.001), 30-day mortality, stroke, and reoperation for bleeding were comparable between groups. Pre-assembled conduits demonstrated superior hemodynamics with lower baseline peak gradients (Δ 9.1 mmHg, p < 0.001), lower mean gradients (Δ 5.3 mmHg, p < 0.001), and larger indexed effective orifice area (Δ 0.27 cm²/m², p = 0.018). Annual rates of hemodynamic and dimensional change were minimal and comparable between groups. Kaplan–Meier analysis showed no survival difference at 3 years. Conclusions: The pre-assembled AVC demonstrates equivalent safety and superior early hemodynamic performance compared to hand-sewn conduits, with stable mid-term anatomic and functional outcomes. Full article

The sustainable utilization of multiple reclaimed pavement materials is a critical pathway toward green highway construction. This study investigates the performance and synergistic mechanisms of cold-recycled mixtures incorporating both Reclaimed Asphalt Pavement (RAP) and Reclaimed Cement-Stabilized Base (RCSB), using emulsified asphalt as the primary binder. A comprehensive experimental program was conducted to evaluate the effects of reclaimed material proportions, mixing sequences, and curing ages on the mechanical strength, moisture susceptibility, and high-temperature stability of the mixtures. Microscopic characterization via Scanning Electron Microscope (SEM) and Energy Dispersive Spectroscopy (EDS) were employed to elucidate the Interfacial Transition Zone (ITZ) evolution. Results indicate that an optimal RCSB incorporation range of 20–40% establishes a robust “stone-to-stone” rigid skeleton, significantly enhancing the splitting strength (up to 0.87 MPa) and durability (Splitting Strength Ratio, TSR > 91%). SEM observations confirm the formation of a dense interpenetrating network structure within this range, where cement hydration products and asphalt films achieve optimal chemo-physical bonding. Exceeding 40% RCSB leads to a moisture-starved state and a sharp decline in dynamic stability due to insufficient binder coating. Micro-morphological characterization reveals that the transition from macro-interfacial debonding to a robust cohesive failure mode is the fundamental driver for the performance peak at 20–40% RCSB. SEM observations confirm the formation of a dense interpenetrating network structure, where cement hydration products successfully anchor into the asphalt film. This optimized ITZ effectively eliminates the stress concentration and aggregate crushing seen in high-RAP mixtures, thereby ensuring superior mechanical integrity. Furthermore, a pre-wetting mixing sequence ensures a high-energy mineral surface that promotes the heterogeneous nucleation of cement. SEM results show that this prevents the competitive adsorption between cement and asphalt, transforming the ITZ from a friable, loose state into a densified crystalline adhesive matrix. Full article

Environmental targets towards net-zero carbon concrete are increasing the demand for eco-efficiency in concrete production. Promising measures to increase sustainability include the combination of high levels of limestone fillers (LFs) and the use of advanced mix-design techniques, such as particle packing models (PPMs). However, there is still a limited understanding of the fresh and hardened state properties of eco-efficient mixtures; the literature suggests that mobility parameters (MPs; interparticle separation distance—IPS; maximum paste thickness—MPT) can help explain the fresh behaviour of concrete mixtures. Yet, the impact of MP values on fresh properties is still not fully understood. To address this gap, this study evaluates a reduced-complexity system comprising twelve concrete mortar fractions developed with distinct MP ranges and high LF contents (up to 52%). The use of mortar mixtures was intended to reduce the number of variables in the system and provide a clearer assessment of the role of mobility parameters. Time-dependent rheological behaviour (flow behaviour factor, torque, and viscosity) is analyzed and correlated with MP ranges to identify governing fresh state mechanisms. In addition, the relationships of IPS and MPT with compressive strength and porosity are evaluated to examine their relevance to the hardened state behaviour of low-carbon mixtures with reduced cement content. Results indicate that MPT and IPS can be used as practical indicators of rheological behaviour, with MPT showing the strongest influence on rheological response across all mixtures. Based on compressive strength and porosity measurements, empirical models are proposed to describe the effect of mobility parameter-based spacing concepts on hardened properties. Finally, the environmental performance of the optimized mixtures is assessed, confirming the potential of LF-rich, MP-tailored mixtures to contribute to low-carbon, net-zero concrete production. Full article

In this study, we developed new food gel materials, prepared agarose (AG) gels containing chitosan (CHI)-oleic acid (OA) complex particles, and evaluated their structure, mechanical properties, and in vitro digestion characteristics. CHI-OA complex particles, with an average diameter of approximately 0.9 mm, were successfully incorporated into 1–3 wt% AG gels by mixing with an aqueous AG solution and cooling it while maintaining a uniform dispersion state of the complex particles after gelation. The incorporation of CHI-OA complex particles affected the gelation behavior of AG during cooling and altered the mechanical properties of the resulting gel. The digestion properties of the CHI-OA-AG gel were evaluated through in vitro gastric digestion experiments using a flask shaker and a human gastric digestion simulator. After 120 min of flask shaking, the CHI-OA-AG gel maintained its shape, whereas significant disintegration and fragmentation were observed after 120 min in the human gastric digestion simulator. Notably, most CHI-OA complex particles were retained within the gel fragments even after disintegration, with <5% of the total particles released into the simulated gastric juice. In addition, we prepared a CHI-OA-AG gel encapsulating water-insoluble curcumin (CUR) using the hydrophobic domains of the CHI-OA complex particles. CUR was successfully incorporated into the gel at concentrations up to 72 μmol/L, suggesting that CUR contained in the CHI-OA-AG dispersion before gelation was completely encapsulated. These results demonstrate the potential applicability of the CHI-OA-AG composite gel as a next-generation food material with enhanced nutritional value and controlled digestibility. Full article

As global shipping expands, Automated Container Terminals (ACTs) are vital for port competitiveness. However, modern three-stage yard layouts often suffer from spatio-temporal conflicts between dual yard cranes during relay operations, while uncoordinated container placement causes localized overloads and safety hazards. To address these issues, this study proposes a multi-objective mixed-integer linear programming (MILP) model integrating three-stage operations with spatio-temporal mutual exclusion constraints. The model minimizes makespan, external truck waiting time, and inventory disparities across landside bays. To solve this NP-hard problem, an Improved Octopus Optimization Algorithm (IOOA) is developed, featuring discrete space mapping, Euclidean-based state determination, integer flight steps, and local fine-tuning. Numerical experiments demonstrate that this approach significantly reduces the total makespan and truck waiting times while ensuring a highly uniform container distribution across bays. Ultimately, this study mitigates safety risks associated with space overloads and isolated stack collapses, providing a robust decision-making framework to enhance the efficiency and safety of next-generation ACTs. Full article

We study the phase-space dynamics of quantum systems with $\mathrm{SU}(1,1)$ group symmetry using coherent-state representations on the Poincaré disk. The resulting evolution equation combines transport terms with nonlocal contributions generated with the spectral functions of the Casimir operator, which admit a natural interpretation as pseudodifferential operators associated with the hyperbolic Laplace–Beltrami operator. Using this pseudodifferential structure, we classify the phase-space generators according to the type of the underlying PDE: compact quadratic dynamics ($\widehat{H}\propto {\widehat{K}}_0^2$) yield a degenerate hyperbolic operator of the transport type, and noncompact dynamics ($\widehat{H}\propto {\widehat{K}}_2^2$) give rise to a mixed-order differential–pseudodifferential operator. For numerical evaluation, we reformulate the propagator as an oscillatory integral and develop two complementary strategies: a Fourier-series reduction exploiting the periodicity of compact orbits and a Levin-type spectral collocation method for the noncompact case. Both approaches are stable, accurate, and free of the stiffness issues that afflict direct PDE evolution on the Poincaré disk. Full article

Background/Objectives: Poor aqueous solubility limits the oral absorption and bioavailability of many active pharmaceutical ingredients. Simple formulation approaches suitable for hospital and community pharmacy compounding are therefore needed. This study aimed to develop and evaluate melt-filled hard capsules containing nifedipine, a model of poorly water-soluble BCS class II drug, using polyethylene glycol (PEG) carriers to improve dissolution performance. Methods: PEG blends of different molecular weights (PEG 400, PEG 1500, and PEG 4000) were prepared by melt mixing, followed by incorporation of nifedipine and manual filling into hard gelatin capsules. The formulations were characterized regarding mass variation, drug content, in vitro dissolution, rheological behavior, and solid-state properties using Fourier transform infrared (FTIR) spectroscopy. Dissolution profiles were kinetically modeled and compared with pure nifedipine. Results: All capsules met pharmacopoeial requirements for mass uniformity and showed acceptable drug content. PEG-based melt-filled formulations exhibited markedly enhanced dissolution compared with crystalline nifedipine. Faster drug release was associated with lower-molecular-weight PEGs and reduced viscosity, with the PEG 400/PEG 1500 blend demonstrating the most rapid dissolution. Rheological analysis confirmed shear-thinning behavior, while FTIR findings suggested intermolecular interactions and partial amorphization of nifedipine within the PEG matrices. Conclusions: This study provides a translational adaptation of solid dispersion principles into a compounding-compatible melt-filling approach. Full article

Urban nature and nature-based solutions are increasingly promoted to enhance public space experience and urban climate resilience. In Public and semi-public indoor settings, biophilic design is considered beneficial for stress reduction and mental health restoration through the introduction of natural elements such as plants. However, research focusing on the specific visual features of plants and the underlying mechanisms remains limited. Based on 200 indoor greenery images and their multi-dimensional feature vectors, and combined with questionnaire data from 253 valid participants, this study developed a quantitative framework of plant visual features and adopted a two-level analytical approach. At the image level, linear mixed-effects models (LMMs) were used to identify how plant features influenced immediate responses. At the group level, partial least squares structural equation modelling (PLS-SEM) was employed to examine how cumulative restorative experience translated into affective states, perceived restorativeness, and behavioural intention. The results showed that Green View Index (GVI) and species richness were the most stable positive features, while plant health status, certain planting modes, and spatial layer-related features also showed significant effects. Restorative experience influenced behavioural intention mainly through positive affect and perceived restorativeness. These findings provide evidence for biophilic design, offering quantitative support for incorporating indoor public space into broader urban nature and public space framework. Full article

Background and clinical significance: Autoimmune encephalitis (AE) is an inflammatory brain disorder that manifests through a diverse, unspecific range of neuropsychiatric symptoms. When AE occurs alongside a primary neurodegenerative disorder, the shared symptoms can create a mixed clinical profile, making diagnosis more difficult and potentially postponing effective management and treatment. Case presentation: We describe the case of a 58-year-old female with a one-year history of progressive behavioral and personality changes who presented a subacute confusional state, psychomotor retardation alternating with psychomotor agitation, apathy, visual hallucinations, and motor symptoms. Examination revealed Parkinsonian symptoms and frontal lobe signs. Neuroimaging showed frontotemporal atrophy, while cerebrospinal fluid analysis excluded infection but demonstrated elevated phosphorylated tau, supporting an underlying neurodegenerative process. An electroencephalogram revealed asymmetric temporal slowing without overt epileptiform activity. An initial diagnosis of behavioral variant frontotemporal dementia (bvFTD) was established. Due to rapid clinical deterioration and fluctuating cognition, autoimmune testing was expanded to a full antibody panel, which identified elevated serum anti-glutamic acid decarboxylase 65 (anti-GAD65) antibodies (60 UI/mL, reference range 0–5 UI/mL), establishing a possible coexisting diagnosis of anti-GAD65 autoimmune encephalitis. Initial treatment with intravenous immunoglobulin produced minimal improvement; however, therapeutic plasma exchange led to the remission of psychosis and significant improvement in rigidity, bradykinesia, and attention, with modest amelioration in global cognition. Conclusions: This case highlights the diagnostic challenges posed by overlapping AE and bvFTD clinical pictures, especially when neurodegenerative features obscure an underlying autoimmune process. Early, panel-based neural antibody testing—and consideration of AE even in patients already diagnosed with a major neurocognitive disorder—is critical for avoiding delays in immunotherapy. Prompt recognition and treatment of AE may substantially improve clinical outcomes, even in complex cases with suspected overlap. Full article

The heritagisation of cultural landscapes is often understood as a state-led administrative process. At the same time, the discursive origins and adaptive mechanisms that precede formal designation remain underexplored, especially in relation to cultural sustainability. This study examines the pre-heritagisation of Suzhou’s classical gardens during China’s modern transformation by analysing periodical discourse published between 1870 and 1948. Using a mixed-methods approach that combines quantitative content analysis and Critical Discourse Analysis (CDA), it investigates 699 historical texts from the Index to Chinese Newspapers & Periodicals database. The findings reveal a dual discursive process. On the one hand, reports portrayed the gardens as accessible, multifunctional civic spaces through narratives of public use. On the other hand, literati discourse reinforced their classical value through historical memory and aesthetic preservation. Together, these tendencies show how the gardens were materially refunctioned and symbolically re-anchored under modern conditions. Rather than directly producing later heritage designation, this process helped create the socio-cultural conditions through which the gardens acquired broader public intelligibility, cultural legitimacy, and heritage-like meanings before formal institutional recognition. Full article

The production of fiber-reinforced polymer composites using 3D printing technology offers significant potential and opportunities for industrial applications. However, current dimensional limitations in 3D printing necessitate the use of joining techniques to obtain larger components. Recently, innovative strategies such as friction stir spot welding (FSSW) have attracted considerable attention for joining polymer composites due to their ability to produce strong joints with relatively low heat input (solid-state welding). Nevertheless, it is important to understand how the fibers present in fiber-reinforced polymer composites influence material flow and welding performance during the FSSW process. In this study, glass fiber-reinforced polylactic acid (PLA-GF) composite samples produced using a 3D printer were joined by means of FSSW. Five different tool rotational speeds (900, 1200, 1500, 1800, and 2100 rpm) and three different plunge rates (10, 20, and 30 mm/min) were employed during the welding process. Mechanical tests were performed on the welded joints to investigate the relationship between the welding parameters and the resulting mechanical properties. In addition, microstructural analyses were conducted to examine the formation of welding defects. The results revealed that three distinct zones were formed in the material after the FSSW process: the stir zone, mixed zone, and shoulder zone. Defects were observed in the mixed zone of the samples exhibiting relatively lower mechanical properties. The highest tensile force was achieved at a plunge rate of 20 mm/min and a rotational speed of 900 rpm. The highest bending force, on the other hand, was obtained at a plunge rate of 30 mm/min and a tool rotational speed of 2100 rpm. Full article