Search Results (334,393)

Recent earthquakes have underscored the significant seismic vulnerability and poor energy performance of existing reinforced concrete (RC) buildings, with particular deficiencies observed in non-structural components such as masonry infill walls. Conventional retrofit strategies typically address seismic and thermal deficiencies separately, often leading to increased costs and invasive interventions. This study explores the development of an innovative plaster that combines seismic strengthening with thermal insulation. The proposed plaster is produced using natural raw materials of local Calabrian origin and reinforced with broom fibers to enhance both ductility and mechanical strength. Experimental investigations included mechanical characterization through compressive and flexural strength tests, toughness, and ductility evaluation, as well as thermophysical analyses and further complementary tests. The results demonstrate that fiber reinforcement ensures adequate strength and significantly improves deformability, making the material suitable for seismic retrofitting of infill walls. In fact, the results show that the fiber insertion improves the post-critical behavior of the plaster through a significant increase in its ductility. Moreover, the thermal tests confirm a notable reduction in heat transfer, enhancing the energy performance of building envelopes. The complementary tests have demonstrated the suitability of the designed plasters for the intended applications. Full article

Whether the genesis of gold deposits in the Northeastern Jiaolai Basin is consistent with that in the Northwestern Jiaodong area remains controversial. This study presents in situ Rb-Sr dating of sericite, along with in situ trace element and sulfur isotope analyses of pyrite in the Longkou gold deposit. The sericite Rb-Sr inverse isochron yields an age of 120.9 ± 2.4 Ma, indicating that gold mineralization occurred in the Early Cretaceous. Two generations of pyrite, Py1 and Py2, were identified. Py1 is anhedral and hosted in relatively low-grade, weakly altered marble wall rock. Py2 is euhedral to subhedral and hosted in relatively high-grade, strongly altered marble ore. The δ³⁴S value of Py1 is 7.38‰, whereas that of Py2 is 6.79‰. The decrease in δ³⁴S values from Py1 to Py2 reflects an increase in the oxygen fugacity of the ore-forming system. These features suggest that fluid–rock interaction led to an increase in oxygen fugacity, thereby triggering gold precipitation. The mineralization age and precipitation mechanism of the Longkou gold deposit are consistent with those of the Northwestern Jiaodong area. The Longkou gold deposit is best classified as a Jiaodong-type gold deposit. Full article

The driving scenario and information load jointly influence the cognitive efficiency of augmented reality head-up display (AR-HUD) interfaces. However, the moderating role of drivers’ working memory capacity (WMC) remains unclear. To investigate this mechanism, a simulated driving experiment with a mixed design was conducted in a low-immersivity desktop virtual reality (VR) environment. First, 40 volunteers were screened using an automated operation span task, yielding 16 high- and low-WMC participants. They then drove under three scenarios (urban intersection, expressway, construction zone) and six levels of AR-HUD visual information load. Generalized linear models were applied to the reaction time, fixation duration, and pupil diameter. The results revealed a significant three-way interaction among WMC, scenario, and information load. High-WMC drivers maintained faster responses and lower subjective loads up to Levels 4–6, adopting a deep processing strategy; low-WMC drivers already showed cognitive overload at Level 4 and above, requiring an optimal load range of Level 2–3. The construction zone induced the steepest increase in cognitive load, whereas the expressway markedly reduced sensitivity to additional visual information. Therefore, the optimal AR-HUD information load must be adapted to drivers’ WMC: high-WMC drivers can safely handle Levels 4–6 in low- or medium-demand scenarios, whereas low-WMC drivers require a minimalist presentation of Levels 2–3 in high-demand situations. This study provides quantitative, empirically grounded guidelines for designing cognitively adaptive AR-HUD interfaces. Full article

Smart retail adoption (SRA) is widely seen as a way to improve operations. But how it affects business performance (BP) is still unclear. This study builds a framework using information theory and the Technology–Organization–Environment (TOE) framework. We use data from 220 Chinese retail firms (2012–2023). Our analysis shows that SRA significantly improves BP. It does so by first reducing incomplete information (measured by analyst forecast dispersion, AFD) and then lowering uncertainty (UNC). These two factors work in sequence. Technological conditions (TECH), organizational conditions (ORG), and environmental conditions (ENV) all strengthen this effect. SRA also has strong long-term benefits. The effect is greater in non-state-owned firms, large firms, firms in central China, and those that rely mainly on offline channels. This study explains how SRA boosts BP and offers practical insights for retail transformation. Full article

Background and Objectives: The inner ear has traditionally been regarded as an immunoprivileged and anatomically isolated organ. However, growing interest in neuro-lymphatic interactions has raised the hypothesis that glymphatic and lymphatic mechanisms may contribute to auditory pathology and its association with cognitive dysfunction. This systematic review aimed to synthesize current human evidence regarding anatomical, imaging, and clinical correlates of glymphatic mechanisms in the inner ear and audiological pathologies, and to quantitatively evaluate currently available biomarkers. Materials and Methods: A structured search of PubMed, Scopus, and Cochrane databases was performed from inception through March 2026. Eligible studies included human investigations reporting anatomical, histopathological, or MRI-based glymphatic assessments related to inner ear disorders. Risk of bias was assessed using the Newcastle–Ottawa Scale and Joanna Briggs Institute tools. Meta-analysis was conducted for diffusion tensor image analysis along the perivascular space (DTI-ALPS) indices comparing auditory disorders with healthy controls. Results: Six studies met inclusion criteria (five cross-sectional imaging studies and one surgical histopathological case series). Histopathology demonstrated lymphatic capillaries in advanced Ménière disease. MRI studies consistently reported reduced ALPS indices and/or increased choroid plexus volume and enlarged perivascular spaces in tinnitus, congenital sensorineural hearing loss, and age-related hearing loss. Meta-analysis of five studies showed a significant reduction of ALPS index in auditory disorders compared with controls (SMD = −0.73, 95% CI −0.90 to −0.55; p < 0.001), with no heterogeneity. Glymphatic markers were frequently associated with audiological data, cognitive performance and inflammatory biomarkers. Conclusions: Human evidence supports the presence of altered central glymphatic function across diverse auditory phenotypes. Although predominantly based on indirect MRI proxies and cross-sectional data, the meta-analytic findings strengthen the biological plausibility of an auditory–glymphatic interaction. Prospective longitudinal studies are warranted to clarify causality and therapeutic implications. Full article

Background/Objectives: Cancer-related pain remains one of the most prevalent and distressing symptoms across the disease trajectory, significantly impairing function and quality of life. Although opioids are central to managing moderate to severe pain, their limitations, including adverse effects, dependence risk, and societal concerns, highlight the need for more individualized and comprehensive strategies. This review aims to synthesize current approaches to cancer pain management within a palliative care framework, emphasizing multimodal, mechanism-based, and patient-centered care. Methods: A narrative review was conducted using literature searches of PubMed, Scopus, and Google Scholar. Articles published between 2010 and 2026, with emphasis on recent literature (2020–2026), were included. Search terms included combinations of “cancer pain,” “palliative care,” “multimodal analgesia,” “opioids,” “adjuvant analgesics,” and “neuropathic pain.” Peer-reviewed studies, clinical guidelines, systematic reviews, and meta-analyses relevant to cancer pain mechanisms and management were considered. Results: Cancer pain is heterogeneous, arising from tumor progression and treatment-related injury, and includes neuropathic, visceral, and somatic components. Effective management requires mechanism-based assessment and multimodal strategies. Adjuvant analgesics, such as antidepressants, anticonvulsants, corticosteroids, and topical agents, enhance pain control and reduce opioid reliance. Non-pharmacological interventions and early integration of palliative care further improve symptom management and quality of life. Emerging therapies, including cannabinoid-based treatments and gene-targeted approaches, show promise but require further clinical validation. Conclusions: A multidisciplinary, patient-centered approach that integrates pharmacologic and non-pharmacologic strategies is essential for optimizing cancer pain management. Advancing toward personalized and multimodal care models may improve outcomes, reduce opioid-related risks, and enhance quality of life for patients with cancer. Full article

The safe service of tunnel inverted arch structures in high-altitude cold regions is heavily restricted by the performance of backfilling materials, which need to simultaneously adapt to low-temperature, low-pressure extreme environments and meet the long-term mechanical requirements of underground building structures. However, the strength development and preliminary mechanical applicability of foam concrete for tunnel inverted arch backfilling under reduced atmospheric pressure remain insufficiently understood. To this end, this paper carries out mix proportion optimization and mechanical performance testing of foam concrete, focusing on the strength behavior under different dry densities and simulated high-altitude low-pressure conditions. The test results show that the compressive strength of foam concrete is positively correlated with dry density, and the growth rate accelerates when the dry density is above 1000 kg·m⁻³. Specifically, the developed high-performance foam concrete with a dry density of 1200 kg·m⁻³ achieves a 28-day compressive strength of 27.1 ± 1.2 MPa under 60 kPa atmospheric pressure, indicating stable mechanical performance with low variability. The results indicate that, within the tested dry-density range and under the adopted curing and pressure conditions, the developed foam concrete can meet the basic compressive-strength requirement for tunnel inverted arch backfilling. This study provides a reference for material selection and structural design in high-altitude cold-region tunnel engineering and highlights the potential applicability of lightweight foam concrete in underground structures. Full article

Developing eco-friendly metal oxide nanoparticles (NPs) with plant-based reducing and stabilizing agents offers a sustainable alternative to traditional chemical methods. Nonetheless, the detailed mechanisms by which phytochemicals influence NPs formation, antimicrobial properties, and cytocompatibility remain poorly understood, especially in systems mediated by Vaccinium. This study aimed to synthesize TiO₂ NPs and ZnO NPs using Vaccinium corymbosum (blueberry) extract, analyze their structural and surface characteristics, assess their antimicrobial effectiveness and cytotoxicity, and explore potential molecular mechanisms through computational docking. ZnO NPs were produced via alkaline precipitation (pH 12) from ZnCl₂, while food-grade TiO₂ was mixed with blueberry extract. A comprehensive characterization was carried out using techniques like X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), Raman spectroscopy, transmission and scanning electron microscopy (TEM/SEM), dynamic light scattering (DLS), and high-performance liquid chromatography (HPLC) for polyphenol profiling. The antimicrobial activity was tested against Escherichia coli and Salmonella Typhimurium, and the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) were determined. Cytotoxicity was assessed using Gallus gallus domesticus leukocytes and Artemia salina bioassays, and molecular docking simulations were performed to examine polyphenol interactions with the bacterial DNA gyrase subunit B (GyrB). XRD analysis confirmed the presence of wurtzite ZnO (with a crystallite size of 18.2 nm) and anatase TiO₂ (12.8 nm after functionalization). HPLC identified key polyphenols, including quercetin, cyanidin, malvidin, and cyanidin-3-glucoside, with patterns indicating stronger adsorption onto TiO₂ NPs surfaces. ZnO NPs showed higher antimicrobial effectiveness (>90% inhibition at 2 mg/mL; MIC 0.5–1 mg/mL) compared to TiO₂ (72% inhibition at 16 mg/mL; MIC 8–16 mg/mL). Cytotoxicity results indicated concentration-dependent effects. Molecular docking simulations revealed favorable binding energies (−6.2 to −8.4 kcal/mol) for blueberry polyphenols with GyrB, suggesting potential synergistic antimicrobial effects and ROS production. The study highlights a successful green synthesis of bioactive TiO₂ NPs and ZnO NPs using Vaccinium corymbosum extract, where polyphenol surface functionalization enhances both colloidal stability and biological activity. This comparative research offers mechanistic insights into how polyphenol-coated NPs work and supports the development of eco-friendly antimicrobial oxide nanomaterials. Full article

The sustainable valorization of marine biowaste, particularly shrimp residues, has emerged as a promising strategy to develop eco-friendly agricultural inputs that enhance crop productivity and reduce environmental impacts. This study investigated the effects of a biotechnologically processed fermented shrimp-waste (Parapenaeus longirostris) formulation as a biostimulant on the growth, physiological performance, and development of a local mays variety (Zea mays L., DKC 744) under controlled pot conditions. The experiment evaluated root, foliar, and combined applications of the biostimulant at three concentrations (5%, 10%, and 15%) over a 90-day vegetative cycle. Morphological parameters, including stem height, leaf number, leaf mass, and root biomass, were measured at regular intervals, while chlorophyll a and b contents were assessed to evaluate photosynthetic efficiency. The results indicated that all biostimulant treatments significantly enhanced mays growth. Root-applied biostimulants primarily stimulated root biomass by up to 764.0 ± 66.8 g at the 10% concentration, whereas foliar applications improved above-ground traits, including stem elongation and leaf formation, reaching maximum heights of 200.0 ± 1.9 cm and 17.0 ± 0.4 leaves under intermediate concentrations. Combined root and foliar applications produced the highest stem height (240.0 ± 5.6 cm), leaf number (19.0 ± 0.0), leaf mass (1034.0 ± 11.1 g), and chlorophyll content (2.44 ± 0.9 for chlorophyll a) at 10–15% concentrations. The results also revealed that moderate concentrations generally provided the most balanced stimulation, suggesting the presence of an optimal dose threshold. This study demonstrated the comparative effectiveness of root, foliar, and combined applications of a fermented shrimp-waste biostimulant and identified an optimal concentration. However, its limitations lie in the use of controlled pot conditions and a single crop variety, which restrict the extrapolation of results to field-scale applications and diverse agroecological environments. Therefore, more research is needed to explore the action mechanisms of the studied biostimulant and elicitors, mainly the interaction between biocompounds and the treated plant. Full article

The sustainable management of intensive swine farming is currently bottlenecked by the difficult valorization of metal-rich wastewater sludge. The structural rigidity of this sludge, stabilized by divalent cation bridging, severely limits its anaerobic digestion and overall resource recovery. To optimize the manure management chain, this study comprehensively evaluated various physical and chemical pretreatments to identify the most effective disintegration strategy for enhanced volatile fatty acid (VFA) production. Among the tested conditions, the coupling of thermal hydrolysis with citrate chelation (T/SC) was the most effective, achieving the highest disintegration degree (12.37%) and biopolymer solubilization. Mechanism analysis revealed that, unlike traditional alkaline treatments, which are limited by the severe reprecipitation of magnesium and phosphate, citrate effectively sequestered bridging cations (Ca²⁺ and Mg²⁺) via ligand exchange. This synergistic disintegration accelerated the fermentation kinetics, enhancing the total VFA yield 2-fold (1293 mg/L) compared to the control group while maintaining a high-value, butyrate-dominant product profile. These findings demonstrate that targeting ionic bridges via ligand-promoted dissolution provides a highly practical and sustainable strategy to maximize resource recovery and nutrient cycling from metal-laden livestock wastes. Full article

To address bounding-box merging, missed detections, and class confusion in complex document layouts, this study proposes YOLO-GFD, a lightweight document layout detection algorithm that balances global layout modeling and fine-grained feature representation. Built upon YOLO11n, the proposed method introduces an RMSNorm-optimized AIFI-Lite module at the high-semantic stage to enhance long-range dependency modeling with improved stability and parameter efficiency, incorporates an enhanced upsampling and reconstruction mechanism in the feature pyramid to better preserve edge and texture details, and employs a hybrid convolution–attention structure in the mid-scale branch to improve discrimination of adjacent regions. Experimental results show that, on the self-constructed ExamDoc-CN dataset, YOLO-GFD improves mAP@0.5 and mAP@0.5:0.95 by 1.3 and 2.8 percentage points over YOLO11n, respectively. On the CDLA and IIIT-AR-13K datasets, mAP@0.5 increases by 1.0 and 0.8 points, while mAP@0.5:0.95 improves by 1.8 and 0.4 points, respectively. These results demonstrate that YOLO-GFD achieves consistent performance gains across different document layout scenarios with only marginal computational overhead, indicating an effective trade-off between detection accuracy and efficiency. Full article

Wireless Sensor Networks (WSNs) are widely used in environmental monitoring, disaster early warning, and smart grids. However, sensor nodes face strict energy limitations. Unbalanced energy consumption and hotspots severely shorten the network lifetime. To address these problems, this paper proposes an optimized Spotted Hyena Optimization-Energy-Efficient Non-Uniform Clustering algorithm (SHOE) for cluster head selection and data transmission. The algorithm has three main innovations: combining a bio-inspired metaheuristic with an improved EEUC (Energy-Efficient Unequal Clustering) multi-hop relay and a Gaussian distribution model for non-uniform node deployment; designing a multi-dimensional fitness function considering energy, distance, and node location; and introducing empty cluster and isolated node repair mechanisms to balance exploration and exploitation. Specifically, the multi-dimensional fitness function guides the heuristic search process towards high-quality cluster head candidates, while the empty cluster and isolated node repair mechanisms dynamically rectify abnormal network structures, ensuring the robustness of the final architecture optimized by the bio-inspired framework. Simulations in MATLAB show that SHOE outperforms LEACH (Low-Energy Adaptive Clustering Hierarchy), PSOE (Particle Swarm Optimization with Evolutionary Strategy), PL-EBC (Probabilistic Localized Energy-Balanced Clustering), and CGWOA (Chaotic Grey Wolf Optimization Algorithm) in reducing node death, saving energy, and extending network lifetime. It improves adaptability to non-uniform distribution and optimizes energy balance, thus enhancing the efficiency and stability of WSNs. Full article

In a seepage control system composed of geomembranes, the mechanical properties of the geomembrane welds directly determine the overall safety and durability of the system. To clarify the influence of welding parameters on the mechanical properties of the welds, this paper prepares weld specimens using different welding processes and systematically investigates the effects of welding temperature, welding pressure, and welding speed on the mechanical properties of double wedge welds in HDPE geomembranes through peel tests, shear tests, and DIC deformation measurement technology. The results indicate that the peel strength of HDPE welds has no linear correlation with welding pressure but there exists a threshold effect. The peel strength exhibits an exponential relationship with welding temperature and a Gaussian relationship with welding speed. The shear strength of the welds can be fitted by an exponential function for all three welding parameters. The coefficient of determination (R²) for each of the above fitting equations is higher than 0.9. Under different welding parameters, the yield strength of the double welds is slightly lower than that of the base material (approximately 89–94% of the base material), while the yield strain decreases more significantly (to 62–81% of the base material). Observations of the weld deformation distribution using DIC show that when the specimen elongation is below 11%, strain is concentrated near the weld; after reaching the yield strain, necking occurs; and the strain concentration shifts to the necking region. As the elongation further increases, significant plastic yield deformation occurs in the necking region, with a maximum strain of 500%. Full article

Aberrant glycosylation is a recognized hallmark of cancer, establishing Golgi α-mannosidase II (GMII) as strategic therapeutic target. While the natural alkaloid swainsonine demonstrated potent anticancer activity, its clinical use is hampered by toxicity from off-target inhibition of the lysosomal α-mannosidase (LMan). This review surveys computational methodologies advancing inhibitor development from empirical observations to precision structural optimization. We examine the evolution from Molecular Docking to advanced Quantum Mechanics (QM) and Molecular Dynamics (MD), highlighting their combined role in modeling metalloenzyme flexibility and energetics. Analysis reveals that selectivity relies on exploiting peripheral structural divergences, organelle-specific pH gradients, and distinct substrate conformational itineraries. In this context, electronic structure calculations and pKa predictions prove critical for designing “electrostatic switches”, inhibitors binding neutrally at Golgi pH while incurring lysosomal repulsion. Structurally, targeting the non-conserved “anchor site”, mimicking specific transition-state ring distortions and utilizing conformationally restricted scaffolds represent the most effective strategies. Integrating dynamic sampling with rigorous energetic profiling is therefore crucial for developing the next generation of safe, selective GMII inhibitors. Full article

Bamboo is a rapidly renewable lignocellulosic resource widely used in construction, composites, and bio-based materials. However, its practical applications are often limited by high hygroscopicity, biological degradation, and dimensional instability under humid conditions. This review synthesizes current research on bamboo structure, microbial interactions, and material modification strategies to better understand how bamboo-associated microbiomes influence both deterioration and potential material enhancement. We summarize conventional chemical and thermal modification approaches that improve hydrophobicity, durability, and mechanical stability while also discussing their technical limitations. Emerging studies on bamboo-associated microbial communities reveal complex interactions between fungi, bacteria, and lignocellulosic substrates, including enzymatic degradation, nutrient cycling, and potential bioprotective functions. Advances in multi-omics technologies have further provided insights into the functional gene pools and metabolic pathways involved in bamboo–microbe interactions. Recent conceptual developments in microbiome engineering and engineered living materials (ELMs) suggest possible future directions for integrating microbial functionality into bamboo-based materials. However, direct experimental evidence for microbial enhancement of bamboo structural performance remains limited. Future interdisciplinary research integrating material science, microbial ecology, and synthetic biology will be essential to evaluate the feasibility and safety of such biohybrid systems. Full article