Browse Articles
Discover research articles across all indexed journals
Correlation of the lipid complex marker hs-CRP/HDL-C ratio with hyperuricaemia: a cross-sectional retrospective study from NHANES 2015–2018
Multimodal ultrasound assessment for monitoring keloid severity and treatment response
Electrostatic enhanced terahertz metamaterial biosensing via gold nanoparticles integrated with biomolecules
Multi-timescale optimization scheduling of integrated energy systems oriented towards generalized energy storage services
Abstract This paper addresses the limitations of existing research that focuses on single-sided resources and two-timescale optimization, overlooking the coordinated response of various energy storage resources across different timescales in comprehensive energy systems. To tackle these shortcomings, the study integrates flexible demand-side resources, such as electric vehicles (EVs), hydrogen storage, and air conditioning clusters, as generalized energy storage. It explores their impact on the operation cost of the comprehensive energy system across three stages: day-ahead, intraday, and real-time. The paper establishes an optimization scheduling model for mobile energy storage, hydrogen storage, and virtual energy storage of air conditioning clusters, considering the physical and temporal constraints of different storage devices, aiming to minimize the operational cost. The day-ahead stage employs C&CG to address the uncertainty of wind and photovoltaic power generations, while the intraday stage synergizes hydrogen storage, gas turbines, and demand-side substitutable and transferable loads to mitigate renewable energy fluctuations. The real-time stage leverages the virtual energy storage model of air conditioning clusters for rapid response to renewable energy deviations. Case studies validate the effectiveness of the model, demonstrating that multi-timescale optimization of generalized energy storage in comprehensive energy systems can significantly reduce operational costs and enhance system reliability.
Leaf adaptation strategy of non-tree plants altered by community structure implies vegetation degradation risk in alpine rocky desertification areas
Extremely low frequency magnetic field distracts zebrafish from a visual cognitive task
Abstract Electromagnetic fields emitted from overhead power lines and subsea cables are widely regarded to be a disruptive factor for animals using the natural magnetic field as orientation cue for guiding their directed movements. However, it is not known if anthropogenic electromagnetic fields also have the potential to disturb animals attending to information from other sensory modalities. To find out, we trained adult zebrafish (Danio rerio) individually to perform avoidance behavior in response to a visual signal (green LED light spot), which in the exposure group was presented simultaneously with a sinusoidally changing magnetic field (0.3 Hz, group A: 0.015 mT, group B: 0.06 mT). Despite the salience of the visual signal, which was both sufficient and necessary to elicit conditioned avoidance responses, the 0.06 mT magnetic condition had a negative impact on learning performance and response behavior. This suggests that extremely low frequency technical magnetic fields of Earth strength amplitude can act as cross-modal distractor that diverts the attention of animals away from environmentally relevant cues based on nonmagnetic sensory modalities. Our research highlights the need to study the role of anthropogenic magnetic fields as sensory pollutant beyond the scope of magnetic orientation behavior.
Optimization of the process of acetylation and carboxymethylation for a polysaccharide from Gastrodia elata and antioxidant and immunomodulatory activities test
Synthesis and characterization of MIL-88 A(Fe)/C composite for treatment of dairy factory’s wastewater by enhanced electro-Fenton method
A compact single layer dual band microstrip patch antenna for 5G terminal applications
National and subnational epidemiology and correlates of high alcohol use attributable burden in Iran from 1990 to 2021
The distraction potential of driving a partially automated vehicle through a construction zone
Association between aortomesenteric angle and symptomatic spontaneous isolated superior mesenteric artery dissection
Efficacy of graphene quantum dot-hyaluronic acid nanocomposites containing quinoline for target therapy against cancer cells
Abstract The study aims to assess the impact of graphene quantum dot-hyaluronic acid-quinoline nanocomposites (GQD-HA-Qu NCs) on MCF-7, HT-29, A2780, PANC-1, and HeLa cell lines. The GQD-HA-Qu NCs were characterized using dynamic light scattering (DLS), field emission scanning electron microscopy (FESEM), and Fourier-transform infrared (FTIR) spectroscopy. MTT assays and flow cytometry evaluated the cytotoxic and apoptotic effects of synthesized NCs. Additionally, real-time PCR was utilized to assess apoptotic gene expression. The DLS assay revealed a particle size of 224.96 nm with a polydispersity index (PDI) of 0.3. The FESEM analysis also confirmed the uniform spherical morphology of NCs. The MTT assessment demonstrated significant cytotoxicity in all cell lines, with MCF-7 and A2780 exhibiting pronounced sensitivity (P < 0.001). The flow cytometry analyses also revealed a dose-dependent increase in late apoptosis at higher concentrations of GQD-HA-Qu NCs. Notably, p53 expression was significantly upregulated compared to the untreated cells (P < 0.01), while caspases 8 and 9 showed no substantial change. This finding indicates that the p53 pathway is predominant in mediating GQD-HA-Qu NCs-induced apoptosis. The present study suggests that GQD-HA-Qu NCs are a promising treatment with selective cytotoxicity against cancer cells and robust antioxidant activity. These findings warrant further investigation for potential clinical applications.
Application and significance of SIRVB model in analyzing COVID-19 dynamics
Co-evolution model of traffic travel and disease transmission under limited resources
Optimized System Identification (SI) of Brushless DC (BLDC) motor using Data-Driven Modeling Methods
Optimization of sterilization efficiency for medical surgical blades in gamma irradiation using the Monte Carlo method
Multi-omics analysis revealed the novel role of NQO1 in microenvironment, prognosis and immunotherapy of hepatocellular carcinoma
Study on the multi-stage instability mechanism of the Wachangwan landslide in Gaoxian County, Sichuan, China
Abstract Landslides are one of the most common natural disasters worldwide. On September 27, 2020, a large-scale landslide occurred in the Tianzhulin area of Huangni Village, Wenjiang Town, Gao County, known as the Wachangwan Landslide. Through field investigations and UAV aerial photography, the causes and deformation processes of the Wachangwan landslide were thoroughly revealed. Additionally, the displacement and deformation of the landslide were analyzed using the discrete element method. The key findings are as follows: The Wachangwan landslide is a typical multistage landslide. Prolonged heavy rainfall induced sliding in the front part of the landslide body, which dragged the rear, less stable soil mass, further exacerbating deformation and eventually forming a multistage landslide. The non-sliding zone is located between zones III-1 and III-2, influenced by pressure from adjacent sliding zones. However, based on rainfall data and displacement monitoring, the non-sliding zone remains generally stable at present. Using the discrete element method, the deformation mechanism and subsequent evolution of the Wachangwan landslide under rainfall conditions were analyzed. The landslide exhibited a failure mode characterized by traction, tensile fracturing, and sliding. A stability calculation method for multistage landslides under rainfall conditions was established, combining the traditional transfer coefficient method and the multistage landslide effects. By analyzing the current stability of the Wachangwan landslide, the results provide a novel approach for evaluating the stability of multistage landslides.