Search Results (71,792)

Groundwater ingress threatens the serviceability and durability of underground structures, particularly when hydrogeotechnical conditions and waterproofing details are considered separately. This study presents a diagnosis-driven assessment of a reconstructed underground shooting range tunnel where leakage persisted despite reconstruction and previous repairs. The objectives were to identify the cause-and-effect mechanism of water ingress and select a targeted, low-impact remediation strategy. The investigation combined archival analysis, three site inspections, ultrasonic testing at 24 locations, eight tomographic scans, targeted destructive verification, and three geotechnical boreholes extending to 7.5 m. Ultrasonic measurements indicated good concrete homogeneity, with a mean estimated compressive strength of 36.9 MPa and a coefficient of variation of 5.86%. Tomography indicated a 25 cm bottom slab and a 20 cm lean concrete layer, compared with the designed 30 cm and 10 cm, respectively. The original geotechnical investigation was too shallow, and the ground conditions should have been classified as difficult, corresponding to geotechnical category II. Finally, leakage was linked to groundwater underestimation, water accumulation in the backfilled excavation, absence of drainage, waterproofing discontinuities, and ineffective previous injections. Targeted reinjection and joint sealing were selected, demonstrating how integrated diagnostics can support proportionate remediation while limiting excavation, demolition, material use, and operational disruption. Full article

Traditional bone plates provide reliable fracture fixation; however, their high stiffness can cause stress shielding, thereby reducing mechanical stimulation of the bone tissue and slowing its regeneration. The biomechanical performance of a titanium plate with a localized porous structure for osteosynthesis of the radial shaft was investigated in this study. Three designs were considered: a solid plate and two plates with localized porous regions measuring 10 × 10 mm and 10 × 15 mm. The finite element analysis of the bone–plate system was performed using MSC Patran/Nastran, with rigid fixation of the proximal end of the bone and sequential application of an axial compressive load of 100 N, bending, and torsion with a moment of 1 N·m. Biomechanical performance was evaluated based on von Mises equivalent stress, fragment displacement (FD), interfragmentary movement (IFM), interfragmentary strain (IFS), and strain energy density (SED). To confirm the manufacturability of the design, the plate was fabricated from Ti–6Al–4V alloy using laser powder bed fusion (LPBF), and the geometry of the porous structure was verified by scanning electron microscopy. The results showed that the localized porous structure altered the load distribution between the plate and the bone, resulting in an increase in local stresses in the bone under the investigated loading conditions. These changes indicate an alteration in the mechanical environment within the bone, which may potentially affect conditions related to fracture healing. Among the investigated configurations, the plate with a 10 × 10 mm porous insert demonstrated the most balanced mechanical characteristics in terms of stresses in the implant, stress distribution in the bone, and structural stability. Full article

Treat-to-target management in inflammatory bowel disease (IBD) combines symptoms, fecal and serum biomarkers, endoscopy, histology, and cross-sectional imaging, but these measures frequently diverge. Discordance may reflect analytical variation, timing, disease location, phenotype, comorbidity, or partially non-overlapping biological processes. We performed a critical narrative review using a structured PubMed/MEDLINE search, supplemented by citation chaining and publisher searches. Guidelines, systematic reviews, diagnostic studies, cohorts, randomized trials, and selected mechanistic studies were prioritized. Fecal calprotectin (FC) and lactoferrin primarily reflect intestinal neutrophilic inflammation, whereas C-reactive protein (CRP) and related serum indices reflect a nonlocalizing systemic response. The fecal immunochemical test (FIT) detects gastrointestinal bleeding, and leucine-rich alpha-2 glycoprotein (LRG) remains promising but insufficiently standardized. We distinguish five biological biomarker domains—namely, fecal–neutrophil; serum–systemic; epithelial/barrier; restitution/resolution; and fibrosis/extracellular matrix (ECM) remodeling—from symptoms and clinical indices, pharmacologic measurements, and phenotype-directed reference assessments. Circulating barrier, repair, and matrix-turnover markers remain investigational. Reactive therapeutic drug monitoring (TDM) for anti-tumor necrosis factor (anti-TNF) agents has the most mature evidence. Vedolizumab and ustekinumab show exposure–response associations, but actionable thresholds are unvalidated, and clinical TDM is not established for newer biologics or oral small molecules. After objective confirmation of disease activity, the framework may support phenotype-directed therapeutic decisions but is not a validated algorithm. Clinically important disagreement should prompt assessment of sampling, assay, timing, infection, medication-related confounding, and pretest probability before phenotype-directed endoscopy, histology, imaging, or reactive TDM is selected. A single discordant result should neither trigger treatment escalation nor exclude active or structural disease. Full article

Waste cooking oil (WCO) was investigated as a waste-derived reactive precursor for a cured organic binder in highly mineral-filled composites containing turmeric. Ten formulations selected from a broader experimental screening were prepared from WCO, sulfuric acid, quartz sand, and turmeric added at 1–7% relative to the dry mass of quartz sand. Formulation-specific thermal curing was conducted at 190–210 °C for 12–20 h. Because the binder content, acid-to-binder ratio, turmeric content, curing temperature, and curing time varied simultaneously, the study was designed as an exploratory multifactorial screening rather than as a controlled assessment of individual processing variables. FTIR, ¹H NMR analysis of acetone-soluble constituents, TGA, and SEM-EDS were combined with mechanical screening, water-absorption, contact-angle, and microbiological measurements. Bending and splitting tensile strengths ranged from 1.15 to 2.42 MPa and from 0.30 to 0.52 MPa, respectively. Water absorption ranged from approximately 4.8% to 9.0%, while water contact angles exceeded 90° for all investigated formulations. Selected formulations reduced the surviving fraction by more than 90% for Staphylococcus epidermidis and by approximately 70% for Pseudomonas aeruginosa under the applied suspension-assay conditions. The estimated C₅₀ values of 60.6–83.3 mg mL⁻¹ indicated measurable concentration-dependent responses at relatively high nominal composite concentrations. The available results support curing-associated transformation and consolidation of the WCO-derived binder phase but do not quantify crosslink density or retained organic content. Because no matched turmeric-free composite or surface/eluate pH measurements were available, the biological effects are attributed to the complete composite formulations rather than specifically to turmeric or intact curcumin. The results provide an exploratory basis for the further development of waste-derived, non-load-bearing polymer–mineral composites with functional surface and biological properties. Full article

Carbon pricing has emerged as a central policy tool for addressing climate change and advancing corporate environmental responsibility, yet its impact on firm-level investment and capital allocation remains insufficiently understood, particularly in emerging economies. This study examines whether emissions trading systems (ETS) influence corporate investment behavior and the reallocation of capital, using China as a representative case within the Asia-Pacific region. Employing a panel dataset of 5000 Chinese listed firms (approximately 80,000 firm-year observations) over the 2008–2023 period and a difference-in-differences framework, we identify the causal effect of carbon pricing on corporate investment decisions. The results show that firms exposed to carbon pricing experience a statistically significant reduction in investment following policy implementation. This effect is more pronounced in high-emission industries and operates through declines in profitability and tighter financial conditions. Asset-weighted measures indicate that the adjustment is concentrated among larger firms, and industry-level analysis shows that reductions are disproportionately driven by high-emission sectors. This pattern of heterogeneous investment responses is consistent with carbon pricing influencing investment allocation across firms; however, we do not directly observe the subsequent destination of capital or whether reduced investment in exposed firms is transferred toward cleaner activities. These findings provide new micro-level evidence that carbon markets shape corporate environmental management and real economic decisions by altering firm incentives, cost structures, and expectations. The study contributes to the literature by linking environmental policy tools to firm-level investment behavior and offers practical insights for policymakers and managers navigating the low-carbon transition in emerging economies. Full article

Background: Necrotizing fasciitis complicating diabetic foot infection requires rapid source control and is associated with substantial morbidity. A topical desiccating agent (TDA) may assist debridement by dehydrating necrotic tissue and potentially disrupting biofilm, but comparative clinical evidence is limited. Methods: We conducted a retrospective, single-center cohort study of 87 patients who underwent emergency surgery for diabetic foot-related necrotizing fasciitis between July 2023 and February 2026. Nineteen patients received a single application of TDA at the index operation in addition to standard care, and 68 received standard care without TDA. Treatment allocation was non-random and occurred in routine clinical practice. The primary outcome was the Laboratory Risk Indicator for Necrotizing Fasciitis (LRINEC) score at Day 7. The primary analysis used linear regression adjusted for baseline LRINEC score and baseline septic status, with heteroskedasticity-consistent type 3 (HC3) standard errors. LRINEC was treated as a laboratory-based surrogate rather than as a validated treatment-response measure. C-reactive protein (CRP), white blood cell count, and glucose at Day 0 and Day 7 were summarized descriptively. Secondary clinical outcomes were 30-day major amputation and all-cause mortality. Results: The mean LRINEC score decreased from 8.58 to 2.95 in the TDA group and from 7.51 to 5.51 in the control group. The mean change was −5.63 in the TDA group and −2.00 in the control group, an unadjusted between-group difference of −3.63 points (95% confidence interval [CI], −4.83 to −2.43; p < 0.001). Baseline sepsis was more frequent in the TDA group than in the control group (89.5% vs. 51.5%). After adjustment for baseline LRINEC score and septic status, TDA exposure was associated with a 3.01-point lower Day-7 LRINEC score (95% CI, −4.00 to −2.02; p < 0.001). At Day 7, 18 of 19 TDA-treated patients (94.7%) and 34 of 68 controls (50.0%) had an LRINEC score below 6; this threshold analysis was exploratory. CRP, white blood cell count, and glucose decreased descriptively in both groups, with numerically larger reductions in the TDA group. No major amputations or deaths occurred within 30 days in either group. No TDA-related adverse event was documented in the retrospective clinical records. Conclusions: Adjunctive TDA use was associated with a lower Day-7 LRINEC score and a greater reduction from baseline. Because treatment was not randomized, baseline severity differed between groups, LRINEC is not a validated longitudinal treatment-response measure, and assessment of clinical outcomes was limited, the findings should be interpreted as exploratory associations and confirmed in prospective multicenter studies. Full article

Desert highways have long been subjected to aeolian sand hazards, and sand accumulation on the pavement significantly weakens the surface texture and deteriorates skid resistance, which has become one of the core contributing factors to traffic accidents on desert road sections. Current research predominantly focuses on the attenuation law of the macroscopic friction coefficient of sand-covered pavements; however, the quantitative correlation mechanism between three-dimensional micro-texture characteristics and skid resistance has not been sufficiently revealed, and there is a lack of high-precision skid resistance prediction methods under multi-condition coupling scenarios. To address the above research deficiencies, this paper takes the asphalt pavement in the Tengger Desert region as the research object. A handheld three-dimensional texture scanning system was employed to acquire the three-dimensional pavement morphology parameters under different sand coverages, and the sideway force coefficient (SFC) was synchronously measured under the corresponding conditions. Through Pearson correlation analysis and dual multiple comparison correction using the FDR-BH and Bonferroni methods, the core influencing indicators were identified. Subsequently, a skid resistance prediction model based on a BP neural network optimized by the particle swarm optimization (PSO) algorithm was constructed and horizontally compared and validated with LSTM and PSO-SVM models. The research results show the following: ① under dry conditions, the root mean square height ($S_q$), peak density ($S_{pd}$), arithmetic mean peak curvature ($S_{pc}$), valley void volume ($V_{vv}$), root mean square slope ($S_{dq}$), and developed interfacial area ratio ($S_{dr}$) are significantly linearly correlated with the SFC, among which $S_q$, $S_{pd}$, $S_{pc}$, and $V_{vv}$ are the core controlling indicators, with the absolute values of their correlation coefficients all exceeding 0.73, and ② the constructed PSO-BP prediction model achieved a coefficient of determination $R^2$ of 0.86093 on the test set, and its prediction accuracy and generalization ability are both superior to those of the LSTM and PSO-SVM models, enabling it to effectively characterize the nonlinear mapping relationship between multiple texture parameters and skid resistance. This study can provide theoretical support and a technical basis for skid resistance evaluation, sand accumulation disaster warning, and scientific maintenance decision-making for desert highways. Full article

Human thermophysiological responses differ greatly between individuals. However, textile and clothing systems are usually designed using average population data. They also follow the idea that one product can provide acceptable comfort for most users. This perspective paper introduces the concept of thermophysiological comfort classes (CCs). The aim is to group continuous physiological differences into a small number of practical categories. Similar to anthropometric sizing, each CC includes people who show similar physiological responses and comfort perceptions under defined environmental and activity conditions. The proposed framework combines physiological measurements, environmental and behavioural factors, subjective evaluations, and individual characteristics. Data science and artificial intelligence can support data processing, feature selection, clustering, and validation. At first, the development of CCs will require detailed questionnaires and several types of measurements. The long-term goal, however, is to identify a small set of reliable indicators for a practical assessment protocol. The concept may support textile products designed for representative thermophysiological profiles rather than for an average user. Comfort-class assignment may also change over time. Thermophysiological classification is therefore proposed as a complement to anthropometric sizing and as a basis for personalised and industrially scalable textile design. Full article

Digital-twin-enabled human–machine collaboration (HMC) has increasingly been proposed as a system-level approach for connecting human operators, robots, sensors, artificial intelligence modules, and manufacturing resources. However, the literature varies substantially in what is called a digital twin, how physical and virtual models are coupled, whether models are updated from physical data, and how far systems have progressed beyond simulation or controlled laboratory demonstrations. This structured integrative review examines the conditions under which a digital twin can function as an integration layer for HMC in sustainable smart manufacturing, rather than assuming that such integration is already established industrial practice. The literature corpus was assembled through searches of the Web of Science Core Collection, Scopus, and IEEE Xplore, complemented by Google Scholar-based citation tracking and backward and forward citation tracing. The core search focused on studies published from 1 January 2020 to 5 August 2026, while earlier seminal studies were retained to support definitions and historical context. Studies were screened using explicit criteria for manufacturing relevance, physical–virtual coupling, state synchronization or model updating, feedback capability, and validation setting, and were critically coded by model type, integration mechanism, deployment maturity, and sustainability evidence. The review compares multimodal perception and human-state modeling, intention understanding and augmented interaction, task allocation and shared planning, digital-twin architectures, adaptive control and safety verification, and human–AI decision-making. The evidence indicates that digital twins are promising as coordination and verification layers, but many reported systems remain conceptual, simulation-based, or limited to controlled physical prototypes. Key barriers include model fidelity, online model updating, real-time synchronization, cross-platform interoperability, safety assurance, human-data governance, and the limited availability of directly measured sustainability outcomes. Future work should prioritize validated hybrid models, traceable model-update mechanisms, staged virtual-to-physical deployment, interoperable data contracts, and longitudinal evaluation of technical, human, economic, and environmental performance. Full article

This study proposes a multi-source perceptual information fusion method to improve the accuracy and stability of dairy cow behavior monitoring. Existing machine vision approaches are often affected by lighting conditions, occlusion, and complex cowshed environments, while single wearable inertial measurement unit (IMU) devices may confuse similar behaviors such as eating, ruminating, standing, and lying. To address these limitations, a wireless collar was developed to synchronously collect nine-axis IMU data and ultra-wideband (UWB) ranging data in real time. Combined with manual behavioral observations, a dataset covering seven behaviors—eating, ruminating, standing, lying, drinking, sleeping, and lateral trunk contact—was constructed. By integrating neck-motion features extracted from the IMU data with spatial-distance features obtained from the UWB data, an IMU–UWB dual-branch fusion model was developed to automatically classify dairy cow behaviors. The results indicate that the proposed method can effectively reduce confusion among similar behaviors and improve the recognition of behaviors with limited samples. This approach enables more comprehensive assessment of dairy cows’ daily activities and health status, providing technical support for health monitoring, early disease warning, and intelligent dairy farm management. Full article

Against the dual background of ICH (intangible cultural heritage) revitalization and urban stock space renewal, the renovation of traditional craft workshops has shifted from limited workshop repair to comprehensive space creation that balances craft protection, cultural dissemination, and sustainable operation. While existing scholarship has explored the functional composition and qualitative design strategies of ICH workshops, there remains a notable research gap in quantitative spatial performance evaluation frameworks tailored to craft production constraints, and the actual contribution of spatial design to living heritage transmission lacks objective measurement tools. This study takes craftsmanship-oriented ICH workshops as the core research object. Based on field investigations, multi-subject questionnaires, and expert consultations, 14 tertiary indicators are selected from three dimensions: production and safeguarding, experience and dissemination, and operation and development, to construct a spatial performance evaluation system for living heritage transmission. The Analytic Hierarchy Process (AHP) is adopted to determine the weight of each indicator. Taking the Yuezhou Fan ICH workshop as an empirical case, this study conducts a quantitative comparison of spatial performance before and after renovation. The results show that the comprehensive performance score of the workshop after renovation has increased by approximately 109.7% compared with that before renovation, among which the production and safeguarding dimension have the most significant improvement, verifying the rationality and practicability of the evaluation system. Theoretically, this study extends the application scope of built environment performance evaluation to the field of craft heritage spaces and establishes a closed-loop logic of “quantitative diagnosis—deficiency identification—targeted optimization” for workshop renovation. Based on the evaluation results, this paper proposes a progressive optimization path of “consolidating production baseline—upgrading experience scenarios—empowering diversified operation”, which provides a generalizable quantitative framework and practical reference for the spatial renovation and performance evaluation of similar craftsmanship-oriented ICH workshops. Full article

Background: Progressive supranuclear palsy (PSP) is a primary 4-repeat tauopathy in which neurodegeneration may be accompanied by neuroinflammatory and peripheral immune alterations. Whether peripheral inflammatory activity reflects structural degeneration within vulnerable brain networks remains unclear. Methods: This retrospective case–control study included 12 patients with PSP and 12 patients with Parkinson’s disease (PD). Automated volumetric analysis of 3-Tesla MRI was performed using volBrain 2.0. Blood-derived inflammatory indices included neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), systemic inflammation response index (SIRI), and red blood cell distribution with coefficient of variation (RDW-CV). Results: Patients with PSP showed significantly lower normalized superior frontal gyrus and pallidal volumes than patients with PD. Within the PSP group, higher values of selected blood-derived inflammatory indices were associated with lower frontal network volumes. After adjustment for age, MLR was inversely associated with the composite Frontal Network Score (partial r = −0.7333, p = 0.0067, FDR q = 0.020). The strongest regional association was observed between SIRI and medial frontal cortex volume (rho = −0.748, p = 0.0051); however, regional associations did not remain significant after FDR correction. Conclusions: Peripheral inflammatory markers were associated with MRI-derived measures of frontal network degeneration in PSP. The association between MLR and the composite Frontal Network Score supports a link between systemic immune alterations and network-level neurodegeneration in PSP. Full article

This single-site industrial case study compares a leased diesel shunting locomotive with a battery-electric shunting locomotive used for the same class of in-plant railway tasks at the Seza Cement Plant. The evidence base comprises plant leasing and fuel records, equipment specifications, site-reported electricity indicators, operator-reported operational observations, direct CO₂ calculations, and documented occupational safety and health (OSH) functions; it is not a controlled or statistically replicated time–motion experiment. The diesel system incurred a monthly lease cost of USD 10,000 and consumed approximately 1800 L/month, equivalent to 21,600 L/year. Cross-checking the direct CO₂ calculation with 2.692 and 2.683 kg CO₂/L factors gives 58.1 and 58.0 t CO₂/year, respectively. The approximately 24-month payback is treated as a plant-reported investment indicator and evaluated through a normalized sensitivity model because disaggregated costs for locomotive purchase, charging infrastructure, battery replacement, and historical maintenance are not available in the case-study dataset. Operational evidence is reported descriptively: the 20–40% reduction in task time is an operator-reported range rather than a statistical mean; the 7–9 min value refers to the complete 10-wagon weighing maneuver; and 25 loaded wagons (approximately 1450 t) represents the maximum documented field movement rather than a manufacturer-rated capacity. A force-balance check shows that this maximum movement is feasible only if total equivalent resistance remains below approximately 5.41 N/kN, using the 77 kN catalog tractive effort as an upper bound. The battery-electric locomotive produces no local exhaust emissions at the point of use and incorporates SIL 2 remote-control functions, a deadman function, emergency-stop controls, camera support, lighting, and warning systems; these features indicate risk-control capability but do not constitute a measured accident-rate reduction. The study therefore contributes facility-scale, evidence-bounded information for low-speed, repetitive industrial shunting within a defined operating area rather than a general proof of battery-electric superiority across railway applications. Full article

Roof-contact backfilling is a critical determinant of stope stability in cut-and-fill mining, and the rheological properties of backfill slurry decisively influence the quality of roof contact. To investigate the flow characteristics of unclassified tailings backfill slurry and their effect on rheological parameters, this study uses the Daye Iron Mine as its engineering case. It adopts a combined laboratory and numerical simulation approach. The physicochemical characteristics of the unclassified tailings and the rheological behavior of the slurry were systematically characterized using particle-size analysis, density measurements, spreadability tests, and rheometer measurements. Subsequently, a numerical model of the L-type flow tester was developed in COMSOL Multiphysics (6.4) to simulate the flow process at varying concentrations. Based on the simulation results, a Gaussian process regression (GPR)-based inversion model for rheological parameters was proposed, and the predictive performance of different kernel functions was compared and evaluated. Finally, the existing backfilling scheme at the Daye Iron Mine was optimized based on the obtained rheological characteristics to improve the roof-contact rate. The results indicate that the unclassified tailings from the Daye Iron Mine have a median particle size of 12.1 μm and a density of 2855 kg·m⁻³, with CaO, Al₂O₃, and MgO as the primary active components. Under the same cement-to-tailings ratio, slurry flowability decreases markedly with increasing concentration. The rheological curves exhibit three stages, with the third conforming to the Bingham model; both yield stress and viscosity increase exponentially with concentration. Evaluation of the inversion results demonstrates that the GPR model with the Rational Quadratic (RQ) kernel achieves optimal performance. The recommended slurry concentration for the Daye Iron Mine is determined to be in the range of 69–71%, and the recommended spacing between filling pipelines is 13.34–18 m. This study reveals the flow evolution patterns of unclassified tailings backfill slurry, demonstrates the potential of the GPR-based inversion approach, and optimizes the roof-contact backfilling scheme, offering a scientific reference for flow characterization and backfill optimization in analogous mining operations. Full article

Background/Objectives: Colonoscopy withdrawal time is an established quality indicator, but ongoing debate exists regarding whether its relationship with adenoma detection follows a fixed threshold or a continuous dose–response pattern. Methods: We retrospectively analyzed 31,780 colonoscopies from a multicenter endoscopy database to evaluate the relationship between withdrawal duration and lesion detection. Withdrawal time was assessed as both a continuous and categorical variable, and adenoma detection rate (ADR) and polyp detection rate (PDR) were examined across quartiles and clinically relevant intervals. Results: ADR increased progressively from 7.72% in the shortest withdrawal-time quartile to 36.47% in the longest quartile, while PDR increased from 21.22% to 67.86% (both p for trend <0.001). In the multivariable analysis adjusted for age, sex, and bowel-preparation quality, each additional minute of withdrawal time was independently associated with higher odds of adenoma detection (adjusted OR 1.14, 95% CI 1.13–1.15; p < 0.001). Although the confidence interval was narrow, reflecting the large sample size, the effect was clinically appreciable: model-predicted adenoma detection increased from 13.6% at six minutes to 21.0% at eight minutes and 28.2% at ten minutes, corresponding to approximately seven and fifteen additional adenoma-positive examinations per hundred procedures, respectively. The association remained consistent across age and sex strata. Receiver operating characteristic analysis showed moderate discrimination (area under the curve 0.701), with a Youden-optimal region of approximately 7 to 8 min. Because recorded withdrawal time incorporates interventional time, the principal analysis of inspection effort was conducted at the level of the endoscopist, using withdrawal time measured exclusively in the 14,611 examinations in which no polyp was detected and no tissue was sampled. Among 107 endoscopists contributing 26,793 procedures, inspection time was associated with adenoma detection (Spearman ρ = 0.46; p < 0.001), corresponding to an absolute increase of approximately 1.5 percentage points per additional minute, with attenuation of the gradient beyond approximately seven minutes. Conclusions: The procedure-level findings above describe the association with recorded withdrawal duration as captured in routine practice and are reported as supportive rather than as estimates of inspection effort. Together these analyses indicate that inspection time is associated with adenoma detection in a graded manner extending beyond the historical 6 min benchmark. Full article