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Transmission energy dispersive X-ray diffraction as a tool for the laboratory study of fast processes in metals
The role of harmonicity on listeners’ ability to hear out voices in polyphonic music
Experimentally validated finite element model for mechanical and fracture characteristics of SiCN thin films under different loads
Abstract In this work, SiCN thin films were deposited on p-Si (100) substrate using a thermal Chemical Vapor Deposition (CVD) process. The mechanical behavior of the thin film was characterized using the nanoindentation technique, where the load was varied from 1 to 4 mN, to understand the influence of load variation on the load-displacement response. Additionally, an experimentally validated FE model, incorporating an elast-plastic material response of the thin film, was developed to understand localized stress distribution and fracture behavior. The fracture behavior is examined through two modes: (a) cracking and interfacial delamination during the nano-indentation test and (b) the peel test. The FE model revealed that in the case of the weak cohesive interface between SiCN and Si, the interfacial failure initiates at a critical displacement of $$\sim$$ 110 nm. During the peel test, it was observed that the critical fracture energy of the interface plays a significant role in the interface debonding. These finding highlights the strong dependence of the mechanical integrity of the SiCN thin film on the applied load.
Efficient perovskite/silicon tandem with asymmetric self-assembly molecule
Aggregate based light incremental sharding for efficient embedding table management for recommender systems
Knotless backstitching provides comparable strength to conventional knotting in porcine stomach suture biomechanics
Why chocolate tastes so good: microbes that fine-tune its flavour
Fused RGB and IR image based deep learning detection of dried laver bugak for robotic automation systems
Research on the business performance evaluation method for small and medium-sized enterprises in cross-border e-commerce based on artificial bee colony optimized LSTM model
Abstract The rapid development of the cross-border e-commerce industry has posed challenges for small and medium-sized enterprises (SMEs), such as large fluctuations in the international market environment and limited resource allocation, which increases the uncertainty and complexity of their business performance. Traditional business performance evaluation methods are inadequate in handling complex nonlinear data and real-time responsiveness, making them difficult to meet the demands of a dynamic market environment. Based on data from 10 cross-border e-commerce SMEs from 2020 to October 2023, this paper proposes a business performance evaluation method based on the Artificial Bee Colony Optimized Long Short-Term Memory Neural Network (ABC-LSTM) to improve the predictive accuracy of complex time series data analysis and the model’s generalization ability. The ABC-LSTM model outperforms GA-LSTM, XGBoost, and traditional LSTM models in performance metrics such as Mean Squared Error (0.037), Mean Absolute Error (0.016), and Time Dependency Error (0.019), demonstrating faster convergence speed and higher stability. Additionally, this study analyzes the hierarchical characteristics of performance among different enterprises, revealing the advantages of high-performance enterprises in resource integration, supply chain management, and market expansion, as well as the bottleneck issues of low-performance enterprises. The results validate the significant advantages of the ABC-LSTM model in evaluating the business performance of SMEs in cross-border e-commerce. It not only improves the accuracy of multi-dimensional business data analysis for cross-border e-commerce enterprises but also provides a scientific basis for enterprises in resource integration, supply chain management, and market expansion.
AI helps assemble ‘brain’ of future quantum computer
Research on the dynamic changes and influencing factors of the new urbanization level in Counties of China’s revolutionary old areas
Natural compounds attenuate combined chromium and arsenic-induced oxidative stress and nephritic apoptosis by activating the Nrf2/Keap1 signaling and associated xenobiotic metabolizing enzymes
Mycobacterium hainanense sp. nov. represents an emerging nontuberculous Mycobacterium associated with chronic pulmonary disease
Impacts of propolis and Spirulina platensis supplementation on growth, nutrient digestibility, and gut microbiota of Japanese quails under heat stress
Abstract This experiment determined the effects of Propolis (PRO) and Spirulina platensis (SP) powder on Japanese quail growth performance, nutrient digestibility, and certain serum parameters under heat stress condition. A total of two hundred unsexed Japanese quails (seven days old) were randomly assigned to four treatments. Each treatment included five replicates (10 quails per each). For five weeks, quail chicks were fed basal diet without supplementation (control), quail chicks were fed basal diet supplemented with 400 mg/kg of PRO, quail chicks were fed basal diet supplemented with 1 g/kg of Spirulina platensis powder (SP), and quail chicks were fed basal diet supplemented with same amount of propolis and Spirulina platensis powder (Mix). Data analysis revealed that supplementation of PRO at 400 mg/kg to quails diet greatly improved (P = 0.001) body weight, body weight gain, feed conversion ratio (FCR) as well as improved ether extract, crude protein digestibility (P = 0.028), serum concentration of albumin, serum total cholesterol in addition to reduced (P < 0.001) the count of Bacillus SPP, Escherichia coli (E. coli), Clostridium Spp, and Enterococcus Spp under heat stress condition. Dietary inclusion of SP at a dose of 1 g/kg alone or in combination with PRO significantly (P = 0.001) improved FCR, serum concentration of albumin in addition to reduced digestibility of ether extract and serum concentration of triglyceride (P = 0.001) compared to the control group. In conclusion, when used individually, propolis (400 mg/kg) and Spirulina (1 g/kg) improved performance and health status of Japanese quails under heat stress; however, their combination did not yield additive benefits.
In vivo mechanisms of resveratrol liposomes in targeting the TLR4/NLRP3 pathway in lung cancer
B-vac a robust software package for bacterial vaccine design
A mind-reading brain implant that comes with password protection
Safety analysis of thermal runaway in LTO battery cells under operational fault conditions in railway vehicles
The new wave of ocean industrialization and the challenges for biodiversity conservation in the Mediterranean Sea: the case of the Costa Brava
Abstract To explore the new wave of ocean industrialization and the associated environmental challenges for biodiversity conservation in the Mediterranean Sea, we present here a case study of the Costa Brava region (northwestern Mediterranean), where conservation measures -particularly in areas of high ecological value-, are under increasing stress from new and emerging industrial activities. Using multiple data sources, and a spatiotemporal approach, this article considers the different economic activities in the study area and focuses on the various environmental impacts they may have. Fisheries and aquaculture landings, leisure boating infrastructure (berths), and cruise passenger activity exhibit particularly high levels both inside and near Marine Protected Areas (MPAs), as well as within or adjacent to other areas of conservation value. Notably, planned offshore wind farms and hydrogen pipelines are also located within or in close proximity to MPAs and other areas of conservation value. Our results indicate that the current Good Environmental Status (GES) of MPAs—a key concept describing ecosystems that are productive, resilient, and capable of sustaining both biodiversity and human activities—could be compromised by industrial activities, particularly those that have expanded in the region since the 2000s, including leisure boating, international cruising, and emerging industries such as offshore wind farms, hydrogen pipelines, and desalination plants.