Search Results (27,059)

Digital transformation in international physical distribution is often constrained by fragmented customer, documentary, operational, fleet, cost, and financial information in transport firms operating in emerging economies. Although ERP and CRM systems have been widely studied, their integration is rarely operationalized as a measurable decision-support capability for Lean–Agile logistics. This article addresses this gap by proposing a KPI-based ERP–CRM framework structured around process-fragmentation diagnosis, ERP–CRM functional architecture, KPI operationalization, scenario-based comparison of digital integration configurations, and sensitivity analysis. The framework is evaluated through a case-based design science research approach using aggregated and anonymized company records from January to December 2025. KPIs cover commercial, documentary, operational, fleet, cost, financial, and documentation-related dimensions, and scenarios range from S0 baseline to S5 ERP–CRM with alerts. Under the defined scenario assumptions, the global performance index increases from 100.0 to 132.9, quotation cycle time decreases from 18.50 to 12.76 h, and operating cost decreases from USD 3.05 to 2.35 million. ERP-focused configurations improve documentary control, fleet coordination, and cost visibility, while CRM-focused configurations strengthen quotation management and customer responsiveness. Overall, integrated ERP–CRM coordination produces a more balanced KPI performance pattern and strengthens logistics–financial visibility, while green implications remain limited to documentation-related process outcomes. Full article

Salinity limits early rice establishment by imposing osmotic stress, ionic imbalance, and poor early seedling growth. Magnetic-field seed treatment has been explored mainly using static magnetic fields (SMFs), whereas low-intensity pulsed electromagnetic fields (PEMFs) remain less defined as physical seed-treatment inputs under salinity. Here, we directly compared SMF and 10 Hz PEMF under matched low-intensity conditions to determine whether PEMF can function as an effective physical seed treatment in rice. Seeds of Oryza sativa L. cv. Phitsanulok 2 were exposed to SMF (2.0 mT) or PEMF (10 Hz, approximately 2.0 mT peak) using three protocols—1 h before sowing, 10 min daily after sowing, or a combined schedule—followed by germination under 150 mM NaCl. Magnetic exposure had limited effect on final germination percentage, but a single 1 h pre-sowing treatment with either SMF or PEMF significantly increased the germination rate index under salinity. This protocol also improved root length, seedling dry weight, and seedling vigour, whereas repeated daily exposure produced less consistent benefits. Redox analysis showed that PEMF increased H₂O₂ at 48 h but reduced H₂O₂ at 96 and 120 h compared with the untreated saline control at the corresponding sampling time. PEMF also produced the clearest increase in extractable DPPH radical-scavenging activity at 120 h. Ion analysis showed that the 1 h pre-sowing treatment improved tissue ion balance, as reflected by lower Na⁺ accumulation, improved K⁺ status, and a reduced Na⁺/K⁺ concentration ratio, particularly in roots. Overall, this study identifies a timing-specific low-intensity magnetic-treatment window for improving early rice establishment under salinity and positions 10 Hz PEMF as a testable non-chemical physical treatment associated with redox remodeling and improved ion homeostasis. Full article

Background/Objectives: Previous studies have linked chronic conditions and multimorbidity to lower physical activity, but evidence across individual movement behaviours remains limited. We examined associations between the number of self-reported chronic diseases and conditions and transport-related walking, leisure time physical activity, muscle-strengthening activity and sedentary behaviour among people aged ≥15 years in Serbia. Methods: Nationally representative 2019 Serbian National Health Survey data were analysed (n = 13,076 with complete information on 17 conditions). Complex sample logistic regression models were sequentially adjusted for sociodemographic characteristics, body mass index, functional mobility and self-rated health. Additional analyses assessed linear trends and departures from linearity using all covariates except self-rated health. Results: Overall, 51.4% reported no condition, 18.0% one and 30.6% two or more. All outcomes were associated with condition status before adjustment, but most associations were attenuated after including functional mobility. After full adjustment, an overall association remained only for muscle-strengthening activity on <2 days/week (Wald F = 5.13; p = 0.006). Compared with no condition, one condition was associated with higher odds (aOR 1.60, 95% CI 1.18–2.16), but two or more were not. Each additional condition was associated with 4.5% higher odds of sitting or reclining for ≥6 h/day (aOR 1.045, 95% CI 1.006–1.087; p = 0.025). No other linear trends were identified; muscle-strengthening activity showed a departure from linearity (p < 0.001). Conclusions: Associations differed across movement behaviour domains and were attenuated particularly after including functional mobility. The number of conditions alone only partially accounted for observed differences in movement behaviours. Full article

Korean ginseng (Panax ginseng C. A. Meyer) is a perennial medicinal crop highly sensitive to waterlogging stress. Although excess soil moisture is known to induce oxygen limitation in the rhizosphere, the resulting metabolic constraints may precede visible shoot symptoms such as wilting, chlorosis, or necrosis. To examine the molecular responses under sustained high soil moisture before overt shoot necrosis, one-year-old ‘Yunpoong’ plants were exposed to ambient waterlogging at 45–55% volumetric soil water content (VSWC), while control plants were maintained at 25% VSWC. Phenotypic observations and hyperspectral imaging were conducted immediately after treatment initiation (week 0) and at weeks 1, 2, and 3, whereas whole-plant samples for RNA-seq were collected at weeks 1–3. Hyperspectral imaging and normalized difference vegetation index (NDVI) analysis indicated limited temporal changes in canopy-level spectral traits during the treatment period. In contrast, transcriptomic analyses revealed time-dependent changes in whole-plant gene expression. A total of 6448 unique differentially expressed genes (DEGs) were identified, of which 4369 were specific to week 3. Gene Ontology (GO) enrichment analysis suggested a stepwise adaptive pattern consisting of early priming, transient stabilization, and long-term remodeling. Hypoxia-, jasmonic acid-, and lignin-related processes were enriched at week 1, water deprivation and protein quality control responses were adjusted at week 2, and glycolysis, phosphate starvation, and repression of growth-related processes became prominent at week 3. Weighted gene co-expression network analysis (WGCNA) and STRING-based protein–protein interaction (PPI) analysis further identified functional modules associated with RNA processing, photosystem regulation, proteostasis, and central carbon, energy, and phosphate metabolism. Integrated transcriptome and network analyses prioritized six candidate genes, GAPC2, MDH, PGI1, PPC1, Lhb1B1, and RD21A, for further functional validation in relation to prolonged ambient waterlogging responses. Full article

Background: The Extended Fetal Cardiovascular System (EFCS) encompasses the cardiac, infracardiac, and supracardiac vascular territories that contribute to fetal cardiovascular development and function. The CASSEAL 3 × 3 framework was developed to provide a structured anatomical assessment of the EFCS. This study aimed to evaluate its feasibility, reproducibility, and diagnostic performance during first-trimester screening. Methods: In this prospective single-center study, singleton pregnancies undergoing ultrasound examination between 11 + 0 and 13 + 6 weeks of gestation were assessed using the CASSEAL 3 × 3 framework. Feasibility, examination time, use of complementary techniques, interobserver reproducibility, and diagnostic performance were evaluated. Prenatal follow-up and postnatal findings served as the reference standard. Results: A total of 288 pregnancies were included in the final analysis. Complete visualization of all nine axial views was achieved in 86.5% of examinations. Mean examination time was 12.5 ± 3.3 min. Higher gestational age increased the likelihood of complete visualization, whereas higher maternal body mass index reduced feasibility. Interobserver agreement was high, with no significant systematic differences between operators. Six suspected EFCS abnormalities were identified during first-trimester examination. Diagnostic performance demonstrated high specificity (99.64%) and negative predictive value (98.58%), whereas sensitivity was moderate and should be interpreted cautiously due to the limited number of confirmed abnormalities. Conclusions: The CASSEAL 3 × 3 framework is a feasible and reproducible approach for structured first-trimester assessment of the EFCS. Diagnostic performance estimates should be interpreted cautiously given the limited number and spectrum of confirmed abnormalities and the use of a composite reference standard without systematic postnatal echocardiography. The framework may be better suited to specialized fetal medicine settings or as an adjunct to routine first-trimester assessment rather than as a universal screening tool. Full article

Executive dysfunction (EFD) represents a transdiagnostic construct encompassing deficits in inhibitory control, working memory, and cognitive flexibility, mediated primarily by the prefrontal cortex (PFC). Despite a robust neurobiological literature, the psychodynamic dimensions of EFD remain undertheorized and clinically underutilized. Moreover, the implications of EFD for the parent–child relationship, both when the deficit resides in the child and when it characterizes the parent, have received insufficient integrative attention. This paper adopts an integrative neuro-psychodynamic framework, examining EFD across three clinical presentations, namely Attention-Deficit/Hyperactivity Disorder (ADHD), Major Depressive Disorder (MDD), and chronic procrastination, and exploring their neurobiological substrates in parallel with their psychoanalytic correlates. A dedicated section examines the bidirectional relationship between EFD and the quality of the parent–child dyad, drawing on developmental neuroscience, attachment theory, and object-relational thinking. Evidence suggests that top-down regulatory failures, indexed by disrupted PFC-amygdala circuitry, may be conceptually mapped onto classical psychoanalytic constructs including Hartmann’s ego functions, Bion’s container-contained model, and Freudian theories of narcissistic withdrawal. The parent–child relationship emerges as a critical bidirectional system in which executive capacities and relational quality mutually regulate one another: parental EFD compromises the scaffolding function essential to the child’s developing self-regulation, while the child’s EFD severity independently predicts elevated parental stress and dysfunctional interactional patterns. An integrated neuro-psychodynamic model of EFD offers clinicians a richer diagnostic and therapeutic framework. Awareness of the neurobiological underpinnings of EFD may meaningfully inform treatment sequencing, particularly regarding the timing of psychodynamic interventions relative to the structural and regulatory capacity of the patient’s ego apparatus. The family system emerges as a primary unit of clinical attention, inasmuch as EFD rarely operates in isolation but rather within, and in recursive interaction with, the relational field. Full article

This study investigates the feasibility of utilizing stone dust waste, an industrial by-product generated during ornamental-stone quarrying processing, as a raw material for 3D-printing mortar. This approach reduces waste disposal and promotes a circular economy. Several high-strength cementitious mixtures were screened and optimized by varying raw materials as a function of slump flow evolution over time, which served as indirect assessment of open time and extrudability. Following the identification of the most suitable mixture for 3D printing, one of the raw materials (an ultrafine limestone filler) was subsequently replaced on a 1:1 mass basis with stone waste, selected due to its comparable particle-size distribution, to assess its feasibility as an alternative filler. Fresh-state properties were evaluated based on flowability, with slump values ranging from 16 cm to 13 cm over time, and extrusion tests on a screw pump, used to validate extrusion stability and shape retention. Hardened-state properties were determined at different curing ages. The incorporation of Apricena stone waste resulted in similar fresh-state and extrusion behaviour of mortar, without additional changes to the mix design, and the intended 30 min qualitative extrusion window was met. At 28 days, the mixture incorporating stone dust waste achieved flexural and compressive strength of 12.51 MPa and 79.72 MPa. The incorporation of stone dust waste resulted in an extrudable mixture for 3D printing, with the intended open time and fresh-state behaviour, as well as mechanical properties complying with high-strength applications. However, the full replacement of one of the limestone fillers led to an 8% reduction in 28-day compressive strength. Overall, the findings demonstrate that the recovery of stone dust slurry as viable supplementary cementitious material for 3D-printed concrete is viable. The data support the use of this stone waste as a raw material for 3D printing, and specific mortar development and mix optimization for different applications are recommended, including the quantitative assessment of buildability, printed mechanical properties, durability, and leaching and life-cycle assessment. Full article

Background/Objectives: Umbilical artery thrombosis (UAT) is a rare but potentially catastrophic obstetric complication associated with a high risk of adverse perinatal outcomes. However, clinically applicable risk stratification tools for pregnancies complicated by UAT remain limited. Therefore, this study aimed to develop and validate a multivariable clinical prediction model integrating maternal clinical characteristics, fetal characteristics, and Doppler-derived hemodynamic parameters for fetuses with UAT. The model may facilitate early risk stratification and support individualized prenatal management and clinical decision-making. Methods: This retrospective study included 114 fetuses with UAT at the Women and Children’s Hospital of Chongqing Medical University between January 2017 and January 2025. Candidate predictors were predefined based on previous literature, clinical knowledge, and their potential associations with adverse pregnancy outcomes in UAT, encompassing maternal characteristics, UAT-related factors, Doppler-derived hemodynamic parameters, and relevant clinical factors. Predictors were selected using LASSO with 10-fold cross-validation and entered into multivariable logistic regression to construct a nomogram. Model discrimination, calibration, and clinical utility were assessed using AUC, calibration plots, and decision curve analysis, respectively. The optimal cutoff was determined by the maximum Youden index. Bootstrap resampling was used for internal validation and generalizability assessment. Results: Of the 114 fetuses, 57 (50.0%) experienced adverse pregnancy outcomes. The final nomogram incorporated maternal age, umbilical artery pulsatility index (UA-PI), ductus venosus pulsatility index (DV-PIV), uterine artery pulsatility index (UtA-PI), gravidity, diabetes mellitus, fetal growth restriction (FGR), and UAT laterality. Higher UA-PI (OR, 7.15; 95% CI, 1.01–50.57), higher DV-PIV (OR, 13.18; 95% CI, 2.34–74.41), and FGR (OR, 7.53; 95% CI, 1.77–31.97) were associated with increased odds of adverse outcomes, while UAT laterality showed a borderline association (OR, 2.61; 95% CI, 1.00–6.81). The nomogram achieved an AUC of 0.791 (95% CI, 0.706–0.876), with 70.2% sensitivity and 78.9% specificity at the optimal cutoff. Bootstrap calibration showed a mean absolute error of 0.042. Decision curve analysis demonstrated a positive net benefit across threshold probabilities of 11–92%. Conclusions: This study establishes an internally validated model for predicting adverse perinatal outcomes in fetuses with UAT using clinical characteristics and gestational age-adjusted Doppler hemodynamic parameters available at the time of diagnosis. The model may provide a basis for risk stratification and individualized antenatal surveillance. Full article

Super-resolution (SR) of remote-sensing imagery is commonly assessed through spatial fidelity or visual sharpness, although index-based geomatics requires preservation of cross-band spectral relationships. We compare five Sentinel-2 full-band SR configurations (LDSR-S2, SRGAN, SPAN, Mamba, and SWIN) in two hazard-mapping cases: flood-water detection during the 2024 Valencia flood and burn-scar mapping after the 2025 Palisades wildfire. Each model refines four native RGB–NIR bands, while SEN2SR reconstructs the remaining bands to produce a ten-band product at $2.5$ m. We evaluate native-grid reconstruction, the introduction of high-frequency details, and downstream thematic, boundary, and edge-region metrics against a bilinear-interpolation baseline. Dynamic-threshold MNDWI and dNBR detectors are applied independently to each output. Among the learned configurations, SWIN achieves the strongest native-grid reconstruction and task-specific spectral consistency and the strongest fire agreement, but adds the least high-frequency content. Flood full-ROI gains are modest, with LDSR-S2 increasing the F1-score from 0.085 for bilinear interpolation to 0.091. All learned configurations increase flood-edge recall, F1-score, and IoU while reducing edge precision and balanced accuracy. LDSR-S2 gives the strongest final edge F1-score and IoU in both tasks, Mamba gives the lowest learned-model symmetric flood-boundary distance. SPAN yields the best spatial consistency and lowest learned flood-edge spectral error and SRGAN adds the most high-frequency content and the largest combined edge-region gain, alongside the greatest task-specific spectral deviation and the largest symmetric boundary-distance increases. Thus, increased edge activation does not establish uniformly improved delineation or recovered sub-pixel detail. These cases demonstrate feasibility rather than generalization. Operational validation requires more diverse, time-synchronous, high-resolution, spectrally compatible references. Full article

The method of extraction of edible oils from nuts significantly affects both the yield and the quality of the oil. The main objective of this study was to evaluate the chemical and lipid composition of pecan nuts, as well as the extracted pecan oil (EPO) and mechanically pressed pecan oil (MPPO). The residual material obtained after mechanical pressing (expeller) was also examined for its oil content and fatty acid composition. The glyceride oil content of the extracted nuts with hexane is higher than that of the oil isolated by mechanical pressing (65.0 vs. 66.3%). Pecan nuts are a rich source of unsaturated fatty acids, with polyunsaturated (mainly linoleic acid) and monounsaturated (oleic acid) being predominant. The amount of linoleic acid is about 35% in EPO and MPPO, but almost three times lower in the residual pecan oil (RPO): 11.8%. The major fatty acid in all examined oils is oleic acid, which was higher in EPO and MPPO (51.4% and 53.1%) than in RPO (42.4%). The physicochemical properties of EPO and MPPO are also analyzed, and significant differences are observed in all parameters (peroxide, acid and iodine values, K₂₃₂, K₂₇₀ and relative density) excluding the refractive index. The identified bioactive compounds (sterols, tocopherols and phospholipids) are secondary substances of pecan oil, but are important for its oxidative stability, which is 15 h for EPO and 24 h for MPPO. Full article

Background/Objectives: Several studies have reported a high prevalence of overweight and obesity among children and adults, with relevant implications for long-term health. Digital platforms and social media may support nutrition education when their content is developed and supervised by health professionals. This study evaluated whether dietary habits, lifestyle indicators, body mass index-related measures, and Mediterranean diet adherence differed between baseline and 210-day assessments among participants in a family- and school-mediated multimedia educational program aimed at promoting healthier lifestyles and greater adherence to the Mediterranean diet. Methods: This was an uncontrolled repeated cross-sectional before-and-after evaluation based on online surveys administered at baseline and after 210 days to respondent samples from the same project population. The multimedia educational program was delivered through a dedicated website and social media channels. The analysis included 329 children/adolescents at both assessment waves and 119 and 122 adult female respondents at baseline and 210 days, respectively. Since only 11 adult males responded, analyses of adults were restricted to women. Additionally, Mediterranean diet adherence was assessed using a modified KIDMED-derived score in children/adolescents and the PREDIMED score in adults. Data from the two assessment waves were compared at the group level, rather than as paired longitudinal observations. Results: Among children/adolescents, higher physical activity, lower screen time, and more favorable dietary indicators were observed at 210 days than at baseline. Moreover, daily fruit intake, daily vegetable intake, regular fish consumption, and the modified KIDMED score were higher at 210 days. Good adherence to the Mediterranean diet increased from 46.8% at baseline to 61.4% at 210 days. Among adult female respondents, the median body mass index was lower at 210 days than at baseline, and favorable differences were observed for vegetable, fish/seafood, legume, and nut intake. The median PREDIMED score increased from 7.0 [6.0–8.0] at baseline to 9.0 [7.0–10.0] at 210 days, and good Mediterranean diet adherence increased from 10.9% to 35.2%. Conclusions: Among children/adolescents, physical activity, screen time, and dietary indicators showed more favorable distributions in the 210-day respondent group than in the baseline respondent group. Daily fruit intake, daily vegetable intake, regular fish consumption, and the modified KIDMED-derived score were higher at 210 days, and good Mediterranean diet adherence was more frequent at 210 days than at baseline (61.4% vs. 46.8%). Among adult female respondents, the median body mass index was lower in the 210-day respondent group than in the baseline respondent group, and more favorable distributions were observed for vegetable, fish/seafood, legume, and nut intake. The median PREDIMED score was higher at 210 days than at baseline: 9.0 [7.0–10.0] versus 7.0 [6.0–8.0], respectively. Good Mediterranean diet adherence was also more frequent at 210 days (35.2% vs. 10.9%). Full article

Background: Young children are at high risk of influenza and its complications, yet evidence on the real-world effectiveness of egg-based inactivated influenza vaccines in children aged 6–59 months remains limited during antigenically drifted seasons. Methods: We conducted a population-based retrospective cohort study using linked immunization and influenza surveillance records from August 4, 2025 to February 8, 2026. Vaccinated and unvaccinated children aged 6–59 months were matched 1:1 using propensity scores based on demographic characteristics, routine and non-routine vaccination history, prior seasonal influenza vaccination (SIV), and prior influenza infection. For vaccinated children, the index date was defined as the date of the last SIV received during the study period; matched unvaccinated children were assigned the corresponding index date. Follow-up began 14 days later and continued until influenza onset or February 8, 2026. Adjusted vaccine effectiveness (aVE) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models. Sensitivity analyses included a negative control outcome analysis using varicella infection, a multivariable logistic regression analysis with influenza infection as the outcome, and a time-dependent exposure Cox regression analysis in the full eligible cohort. Results: A total of 26,444 children were included in the final cohort (13,239 vaccinated and 13,205 unvaccinated). Influenza incidence rates were 28.70 and 40.21 per 100 person-years in vaccinated and unvaccinated groups, respectively. The aVE was 28.82% (95% CI: 23.07–34.14%). aVE was generally consistent across most subgroups, but was lower in children vaccinated in the previous season than in those without prior-season vaccination (20.41% vs. 34.28%; p for interaction = 0.016). Sensitivity analyses yielded comparable VE estimates. Conclusions: Egg-based inactivated influenza vaccination conferred moderate real-world protection against influenza in children aged 6–59 months during the 2025/26 season. Continued monitoring of vaccine effectiveness is needed to inform vaccination strategies in young children. Full article

The present exploratory study evaluated egg quality and yolk functional properties in one commercial hybrid (Lohmann Brown^®), two Italian (Livorno and Milanino) and a French (Marans) local laying hen breeds reared under agroecological conditions and fed a diet enriched with 20% whole hemp seed (HS). A total of 120 laying hens (30 per breed) were raised with pasture access and received the experimental diet for nine months. Egg physical traits, yolk composition, cholesterol content, fatty acid profile, nutritional indices, total phenolic content (TPC), and total antioxidant capacity (TAOC) were assessed at 0, 3, 6, and 9 months. Breed significantly influenced egg characteristics, including yolk and albumen proportions, yolk to albumen ratio, yolk pigmentation, and selected fatty acids (p < 0.05). The adopted agroecological management system increased polyunsaturated fatty acids, particularly omega-6, omega-3, reduced the n-6/n-3 ratio, improved atherogenic and thrombogenic indices, and enhanced the health promoting index, desirable to undesirable fatty acid ratio, and essential fatty acid content (p < 0.05). TPC and TAOC also increased significantly over time (p < 0.01), indicating enhanced antioxidant properties of the yolk. Overall, the adopted agroecological management characterized by HS enriched diet improved the nutritional and functional quality of eggs. These findings support alternative farming strategies that enhance egg value and promote the conservation of local poultry genetic resources. Full article

Plant-parasitic nematodes (PPNs), particularly Meloidogyne enterolobii, pose a severe threat to global agriculture, necessitating the development of sustainable and highly effective management alternatives. Herein, we report the rational design, physicochemical characterisation, and nematicidal evaluation of lemon oil-loaded ionic liquid nanoemulsions. Three distinct ionic liquids (ILs)—1,3-Dimethylimidazolium acetate ([DMIM][OAc]), 1,3-Dimethylimidazolium chloride ([DMIM][Cl]), and 1-Methylimidazolium acetate ([MIM][OAc])—were integrated into oil-in-water nanoemulsions to assess their structural influence on formulation stability and bioactivity. The formulated ionic liquid nanoemulsions (IL-NEs) exhibited excellent colloidal properties, characterised by monodisperse nanometric droplets (18.13–24.42 nm, polydispersity index (PDI) < 0.4) and stable pH profiles with no visible phase separation over 120 days under the tested storage conditions. In vitro bioassays against M. enterolobii revealed a distinct structure–activity relationship (SAR) driven by the IL cation-anion composition, alongside strong concentration- and time-dependent efficacy. The [MIM][OAc]-based formulation demonstrated superior nematicidal performance, achieving the lowest terminal LC₅₀ (0.23% at 20 h) and the most rapid mortality kinetics (LT₅₀ of 7.63 h at 5.0%). Microscopic observations revealed marked morphological alterations, including internal structural damage and disruption of the integument. These findings unequivocally highlight the potential of structurally tunable IL-NEs as a potent, sustainable delivery platform for essential oil-based biopesticides in modern crop protection. Full article

Data silos and topological incompatibility between building information modeling (BIM) geometric models and finite element method (FEM) analysis models in transportation infrastructure engineering represent critical bottlenecks that impede real-time digital twin analysis and the intelligent transformation of the industry. Based on a critical review of existing BIM-to-FEM conversion methods and their limitations, this study proposes a “BIM-FEM” seamless conversion and dynamic twin mapping method that integrates parametric modeling with finite element meshing, with modeling and repair time reduced from 16 h to 3 h, and the maximum element aspect ratio improved from 84.78 to 16.59. In terms of geometric topology, we propose a collaborative construction method in which finite element hexahedral meshing rules drive BIM parametric modeling in reverse. By regularizing the decomposition of axis lines and cross-sectional feature points of linear transportation structures and optimizing their topology, we achieve fully automated hexahedral meshing without topological errors. In terms of mechanical analysis, an “offline pre-solution, online superposition” computational order-reduction model is proposed. This reduces the high-dimensional full-range finite element solution of dynamic traffic loads to a dot product operation between the influence line matrix and real-time load vectors, enabling sub-second computational response under high-concurrency dynamic traffic conditions—specifically, single-point mapping takes less than 0.27 ms, incremental updates are controlled within 0.2 s. In terms of spatiotemporal mapping and system applications, a high-fidelity “FEM-BIM” mapping mechanism based on inverse isoparametric transformation and AABB (Axis-Aligned Bounding Box) spatial indexing has been established, supporting real-time rendering of 3D cloud maps on the web and digital twin applications in engineering. Applications of this method in real-world bridge engineering digital twin systems have demonstrated its ability to perform automatic structural safety assessments and health condition predictions with an overall computation time reduction of approximately 73% compared to conventional approaches. This addresses the shortcoming of traditional structural health monitoring—which emphasizes sensor-based identification over mechanistic evaluation—and provides a viable path for intelligent, precise management and maintenance of transportation infrastructure throughout its entire life cycle. Full article