Analysis of the Chinese Translation of Metaphorical Expressions from the Perspective of Translator Behavior Criticism — A Case Study of the Chinese Translation of Faith in a Seed by Guangjun He and Yiren Chen

Faith in a Seed is known as “the pinnacle of Thoreau’s work” and its writing technique is influenced by literary tradition and rich rhetorical devices are employed. Based on Translator Behavior Criticism, using specific examples to describe and compare one typical rhetorical device such as metaphorical expressions in the Chinese translations of Faith in a Seed by Guangjun He and Yiren Chen, this paper explores the translators’ choices in the process of translation when facing different language environments. It is found that when dealing with two figures of speech, simile and metaphor, the He’s and Chen’s versions are very flexible in the choice of specific translation strategies, sometimes approaching the “truth-seeking” side, sometimes approaching the “utility-attaining” side; when it comes to metonymy, Chen’s version tends to be utility-attaining, while He’s version tends to be truth-seeking; When dealing with synecdoche, both the He’s and Chen’s versions tend to be truth-seeking

Research on Bi-level Cooperative Robust Planning of Distributed Renewable Energy in Incremental Distribution Network Considering Demand Response

The paper constructs a two-level collaborative planning model for incremental distribution network considering demand response and distributed renewable energy access. In the upper model, the goal is to minimize the investment cost of the distribution network, and the lower model takes the system's operating cost optimally, fully considers the uncertainty of renewable energy output, and introduces robust optimization to solve it. It can be seen from the simulation results that the consideration of demand response in the distribution network planning is conducive to delaying investment costs, enhancing power user load flexibility, and effectively avoiding load shedding and other problems. The research results lay the foundation for the feasibility of demand response resources participating in power grid plannin

Coordinated Translocation of Mammalian Gli Proteins and Suppressor of Fused to the Primary Cilium

Intracellular transduction of Hedgehog (Hh) signals in mammals requires functional primary cilia. The Hh signaling effectors, the Gli family of transcription factors, and their negative regulator, Suppressor of Fused (Sufu), accumulate at the tips of cilia; however, the molecular mechanism regulating this localization remains elusive. In the current study, we show that the ciliary localization of mammalian Gli proteins depends on both their N-terminal domains and a central region lying C-terminal to the zinc-finger DNA-binding domains. Invertebrate Gli homologs Ci and Tra1, when over-expressed in ciliated mouse fibroblasts, fail to localize to the cilia, suggesting the lack of a vertebrate-specific structural feature required for ciliary localization. We further show that activation of protein kinase A (PKA) efficiently inhibits ciliary localization of Gli2 and Gli3, but only moderately affects the ciliary localization of Gli1. Interestingly, variants of Gli2 mimicking the phosphorylated or non-phosphorylated states of Gli2 are both localized to the cilia, and their ciliary localizations are subjected to the inhibitory effect of PKA activation, suggesting a likely indirect mechanism underlying the roles of PKA in Gli ciliary localization. Finally, we show that ciliary localization of Sufu is dependent on ciliary-localized Gli proteins, and is inhibited by PKA activation, suggesting a coordinated mechanism for the ciliary translocation of Sufu and Gli proteins

Shapelet Classification Algorithm Based on Efficient Subsequence Matching

Shapelet classification algorithms are an accurate classification method for time series data. Existing shapelet classifying processes are relatively inefficient and slow due to the large amount of necessary complex distance computations. This paper therefore introduces piecewise aggregate approximation(PAA) representation and an efficient subsequence matching algorithm for shapelet classification algorithms; the paper also proposes shapelet transformation classification algorithm based on efficient series matching. First, the proposed algorithm took the PAA representation for appropriate dimension reduction, and then used a subsequence matching algorithm to simplify the data classification process. The research experimented on 14 public time series datasets taken from UCI and UCR, used the original and new algorithm for classification, and compared the efficiency and accuracy of the two methods. Experimental results showed that the efficient subsequence matching algorithm could be combined with the shapelet classification algorithm; the new algorithm could ensure relatively high classification accuracy, effectively simplified the algorithm calculation process, and improved classification efficiency

Three-dimensional modelling of soil organic carbon density and carbon sequestration potential estimation in a dryland farming region of China

Soil organic carbon density (SOCD) and soil organic carbon sequestration potential (SOCP) play an important role in carbon cycle and mitigation of greenhouse gas emissions. However, the majority of studies focused on a two-dimensional scale, especially lacking of field measured data. We employed the interpolation method with gradient plane nodal function (GPNF) and Shepard (SPD) across a range of parameters to simulate SOCD with a 40 cm soil layer depth in a dryland farming region (DFR) of China. The SOCP was estimated using a carbon saturation model. Results demonstrated the GPNF method was proved to be more effective in simulating the spatial distribution of SOCD at the vertical magnification multiple and search point values of 3.0x10(6) and 25, respectively. The soil organic carbon storage (SOCS) of 40 cm and 20 cm soil layers were estimated as 22.28x10(11) kg and 13.12x10(11) kg simulated by GPNF method in DFR. The SOCP was estimated as 0.95x10(11) kg considered as a carbon sink at the 20-40 cm soil layer. Furthermore, the SOCP was estimated as -2.49x10(11) kg considered as a carbon source at the 0-20 cm soil layer. This research has important values for the scientific use of soil resources and the mitigation of greenhouse gas emissions

Fibrinogen‐to‐Albumin Ratio and Clinical Outcomes in Patients With Large Artery Atherosclerosis Stroke

Background A high fibrinogen‐to‐albumin ratio (FAR), a novel inflammatory marker, is considered to be a prognostic marker in vascular diseases. However, the association of FAR with large artery atherosclerosis (LAA) stroke is still unknown. This study was conducted to evaluate the association between FAR levels and clinical outcomes in patients with acute LAA stroke. Methods and Results A total of 809 patients within 72 hours of LAA stroke were included and followed up to 1 year. FAR was calculated as fibrinogen (g/L)/albumin (g/L). The associations of FAR with clinical outcomes were assessed by multivariate Cox regression or logistic regression analysis. Clinical outcomes included stroke recurrence, all‐cause death, poor functional outcome (modified Rankin Scale score 3–6), and dependence (modified Rankin Scale score 3–5). Among the 809 patients with acute LAA stroke, the median FAR was 0.075 (interquartile range, 0.064–0.087). At 1 year, 103 (12.7%) patients had stroke recurrence, 105 (13.0%) had poor functional outcome, 76 (9.8%) had dependence, and 29 (3.6%) had died. After adjusting for all confounding risk factors, a high FAR level was associated with stroke recurrence (hazard ratio, 2.57 [95% CI, 1.32–5.02]), poor functional outcome (odds ratio, 3.30 [95% CI, 1.57–6.94]), and dependence (odds ratio, 3.49 [95% CI, 1.49–8.19]). Conclusions A high FAR level was associated with an increased risk of stroke recurrence, poor functional outcome, and dependence in patients with acute LAA stroke