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Mechanical–electric dual characteristics solid–liquid interfacing sensor for accurate liquid identification
Impact of Gaura parviflora invasion on urban wildness biodiversity: a campus green patch case study
The analysis of the progressive local failure process of the Longquan Reservoir dam based on the global-local dynamic strength reduction method
Abstract During the progressive failure process of the slope (dam), the strength parameters of the soil in the slope (dam) continuously degrade, with the degree and rate of degradation of the soil near the shear zone significantly exceeding those in other areas. To address this mechanism, this paper proposes a global-local dynamic strength reduction method that simultaneously accounts for both the physical degradation pattern of the soil and the strain softening characteristics of the shear zone. Taking the Longquan Reservoir Dam as an engineering case, a two-dimensional profile calculation model at station 0 + 142 was established using ANSYS. Combining this model with the global-local dynamic strength reduction method, the progressive local failure process of the dam under heavy rain conditions was simulated. By analyzing the distribution patterns and evolution trends of dam displacement, stress, and plastic strain, the local failure mechanism of the dam was elucidated. The results indicate that the global-local dynamic strength reduction method can effectively captures both the soil’s physical degradation and the shear zone’s softening mechanism, accurately reflecting the failure progression of the dam while maintaining high computational efficiency. The critical strength reduction coefficients required to reach the critical instability state using different methods exceed 1.0, indicating that the Longquan Reservoir Dam is in a safe condition, which is consistent with field observations. The progressive local failure process of the dam shows that heavy rainfall induces persistent degradation of soil strength parameters. Initially, the downstream soil undergoes plastic yielding and shear flow. As the shear failure zone continues to expand, the soil from the mid-upstream shifts downstream, ultimately leading to the collapse at the dam crest and the formation of a continuous shear zone.
Spatiotemporal analysis of CMIP6-based climate extremes and their implications for sustainable watershed management in the Gidabo watershed, Ethiopia
Multihop cost awareness task migration with networking load balance technology for vehicular edge computing
Seasonal disparities in green exposure under the 15-minute city framework: a case study of Xi’an, China
Magnitude and determinants of anemia among patients at Garbo Primary Hospital, Somali Region of Ethiopia
Improved conservation of callus and rhizome microcuttings of Podophyllum hexandrum germplasm using the slow growth storage approach
Abstract Podophyllum hexandrum Royle (syn. Podophyllum emodi Wall.), commonly known as Himalayan mayapple, is an endangered medicinal plant recognized as the primary natural source of podophyllotoxin, a potent compound with anticancer and antiviral properties. In this study, we developed an optimized protocol for the long-term preservation of P. hexandrum germplasm using a slow growth storage (SGS) technique, successfully preserving the viability and genetic stability of both callus and rhizome cuttings. In vitro cultured callus and rhizome microcuttings of P. hexandrum were conserved using the slow growth storage (SGS) technique in Murashige and Skoog (MS) medium under cold conditions (5 °C), supplemented with different concentrations of sucrose, mannitol, and sorbitol in combination with calcium pantothenate and spermidine, to induce slow growth and maintain tissue viability. It was observed that sorbitol (5.5%) combined with spermidine (2 mg L−1), calcium pantothenate (3 mg L−1), and 6-benzylaminopurine (BA) (1.5 mg L−1) showed better efficacy than the mannitol (6.5%) combination in preserving and regenerating callus and rhizome microcuttings. In contrast, the combination with sucrose (6.5%) was the least effective. This study developed an effective in vitro protocol for conserving P. hexandrum, an endangered medicinal plant, through slow growth storage. A medium containing sorbitol, mannitol, spermidine (2 mg L−1), and calcium pantothenate (2 mg L−1) enhanced tissue viability, stress tolerance, and long-term survival of callus and rhizome explants while maintaining genetic stability during cold storage. These findings suggest that this protocol provides a reliable approach for the ex-situ conservation of P. hexandrum, ensuring the availability of genetically stable plant material for future research and medicinal use. This is the first report on the germplasm conservation of callus and rhizome microcuttings of P. hexandrum grown in Pakistan using the slow growth technique.
Flow regime transitions in flow blurring injection through a CFD parametric study
Abstract Flow-blurring (FB) is a twin-fluid atomization technique that generates fine sprays through internal turbulent mixing. This study presents a parametric computational investigation of an FB injector operating with air and various liquids at ambient pressure. A validated unsteady two-phase solver based on the Volume of Fluid (VOF) method is used to model the injector at different air-to-liquid mass flow rate ratios (ALRs). Parameters such as penetration length, volume fraction, static pressure, vorticity magnitude, and turbulent kinetic energy are analyzed to understand flow dynamics. The results identify three distinct flow regimes: air-dominant, liquid-dominant, and bubbly flow. Screening analysis of a full factorial design of 32 cases shows that liquid mass flow rate and dynamic viscosity are the most influential factors in penetration length. The resulting penetration length varies between 2 [mm] and 8.5 [mm] across the design space. A correlation analysis confirms these findings and reveals important two-way interactions between parameters, such as the positive effect of combined liquid and air mass flow rates. This insight offers a promising pathway for optimizing flow-blurring injectors in various applications.
Drought-Induced genomic and epigenetic variations in Quinoa genotypes revealed by iPBS and CRED-iPBS marker systems
Neonicotinoids and Varroa mites force a bee colony to forget the extending of longevity during overwintering
Stellate ganglion irradiation alleviates airway inflammation in asthmatic mice via activating SIRT1 signaling pathway
Self compacting concrete with recycled aggregate compressive strength prediction based on gradient boosting regression tree with Bayesian optimization hybrid model
Constructing a nomogram for short-term prognosis in postoperative patients with aneurysmal subarachnoid hemorrhage: a two-center retrospective study
Validated thermal model for bacterial survival in fire-resistant self-healing concrete
Abstract Bacteria-based self-healing concrete offers a sustainable solution to extend the service life of infrastructure by autonomously sealing cracks through microbial calcium carbonate precipitation. However, under fire conditions, the survival of encapsulated bacteria remains uncertain due to extreme temperatures that compromise biological activity and structural integrity. This study introduces a validated heat transfer model to estimate how long encapsulated bacteria can survive during fire exposure following ISO 834 conditions. The model incorporates radial heat diffusion, thermal properties of multi-layer encapsulation, and bacterial inactivation thresholds. Experimental data from our earlier study, including additional unpublished experimental insights, are used to validate the model across temperatures ranging from 200 °C to 800 °C. Simulations showed that carbon fiber-cement paste encapsulation can slow heat entry and help bacteria survive for nearly 20 h at 200 °C and about 4 h at 800 °C. In contrast, gelatin-based encapsulations degraded rapidly and failed to protect bacteria beyond 200 °C. Sensitivity analysis demonstrated that encapsulation thickness critically influences survival, with layers ≥ 1.75 mm providing significantly longer protection. This modelling framework, validated using prior experimental results on bacterial viability under fire exposure, provides a predictive basis for evaluating microbial survival in self-healing concrete systems employing multilayer encapsulation. The findings provide practical insights into optimizing encapsulation strategies to preserve bacterial functionality and enable post-fire self-healing in concrete structures.
Generating human facial animation by aggregation deep network and low-rank active learning with table tennis applications
A redox–auxin connection in response to water deficit
Novel feature-based method for multi-modal biomedical image registration compared to intensity-based technique
Abstract Multimodal image registration plays a crucial role in biomedical research, enabling the integration of complementary information from different imaging techniques. We present a novel feature-based approach for multimodal image registration, alongside traditional intensity-based methods. Our method, inspired by SPP-net architecture, employs multi-level feature extraction for robust image alignment. Additionally, we perform t-SNE dimensionality reduction on the MALDI-MSI dataset to enhance feature discrimination and visualization. We evaluated both approaches using datasets from the ANHIR Grand Challenge and mass spectrometry imaging modalities (LA-ICP-MS and MALDI-MSI). The proposed feature-based method achieved comparable accuracy to optimized intensity-based approaches, with Dice Coefficients of 0.95 for ANHIR samples (e.g., COAD_05) and 0.97 for mass spectrometry data, while requiring approximately 50% less computational time. Quantitative evaluation through Mutual Information metrics and Hausdorff Distance demonstrated high registration accuracy across different tissue types and imaging modalities. These results establish our feature-based approach as an efficient alternative to traditional intensity-based methods for multimodal image registration in biomedical applications.