An Analysis of External Publicity Text Translation from the Perspective of Eco-translatology—A Case Study of Huai’an External Publicity Translation

External publicity plays an important role in the course of internationalization. And it is necessary for translator in the process of translating external publicity to consider the differences between the two languages and cultures, which is the key to the fact that whether the true publicity can be really achieved. The present research employs the theory of eco-translatology to study the translation of external publicity. The translation version in Huai’an municipal government website is taken as a case analysis to support the author’s view point. The existing errors are pointed out and the factors resulting in the problems are listed. At the same time, some strategies and approaches are proposed in the terms of improvement, which serve as theoretical and practical references for those working on the translation of external publicity texts as well as other practical writings

Recognizing Own- and Other-race Faces: Cognitive Mechanisms Underlying the Other-Race Effect

Other-race faces are discriminated and recognized less accurately than own-race faces. The other-race effect (ORE) emerges during infancy and is robust across different participant populations and a variety of methodologies (Meissner & Brigham, 2001). Decades of research has been successful in characterizing the roots of the ORE, however certain aspects regarding the nature of own- and other-race face representations remain unspecified. The present dissertation attempts to find the commonalities and differences in the processing of own- vs. other-race faces so as to develop an integrative understanding of the ORE in face recognition. In Study 1, I demonstrated that the ORE is attributable to an impaired ability to recognize other-race faces despite variability in appearance. In Study 2, I further examined whether this ability is influenced by familiarity. The ORE disappears for familiar faces, suggesting a fundamental difference in the familiar and unfamiliar other-race face recognition. Study 3 was designed to directly test whether the ORE is attributable to a less refined representation of other-race faces in face space. Adults are more sensitive to deviations from normality in own- than other-race faces, and between-rater variability in attractiveness rating of individual faces is higher for other- than own-race faces. In Study 4, I investigated whether the ORE is driven by the different use of shape and texture cues. Despite an overall ORE, the transition from idiosyncratic shape to texture cues was comparable for own- and other-race faces, suggesting that the different utilization of shape and texture cues does not contribute to the ORE. In Study 5, applying a novel continuous-response paradigm, I investigated how the representations of own- and other-race face are stored in visual working memory (VWM). Following ample encoding time, the ORE is attributable to differences in the probability of a face being maintained in VWM. Reducing encoding time caused a loss of precision of VWM for other- but not own-race faces. Collectively, the results of this dissertation help elucidate the nature of representations of own- and other-race faces and clarify the role of perceptual experience in shaping our ability to recognize own- and other-race faces

A modified partial likelihood score method for Cox regression with covariate error under the internal validation design

We develop a new method for covariate error correction in the Cox survival regression model, given a modest sample of internal validation data. Unlike most previous methods for this setting, our method can handle covariate error of arbitrary form. Asymptotic properties of the estimator are derived. In a simulation study, the method was found to perform very well in terms of bias reduction and confidence interval coverage. The method is applied to data from the Health Professionals Follow‐Up Study (HPFS) on the effect of diet on incidence of Type II diabetes.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/151375/1/biom13012_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/151375/2/biom13012-sup-0001-SuppData.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/151375/3/biom13012.pd

Automatic mapping aquaculture in coastal zone from TM imagery with OBIA approach

IEEE GRSS; The Geographical Society of China<span class="MedBlackText">Aquaculture area monitoring is of great importance for coastal zone sustainable management and planning. This paper focuses on the development and assessment of an automatic approach for aquaculture mapping in coastal zone from TM imagery. The contribution mainly consists of three aspects: first, utilizes the Multi-scale segmentation/object relationship modeling (MSS/ORM) strategy on the object based image analysis (OBIA) of TM imagery; second, evaluates the effectiveness GLCM homogeneity texture feature on pond aquaculture area information extraction; third, compares the analysis results from three different approaches, namely pixelbased maximum likelihood classifier (MLC), One-step supervised OBIA with stand nearest neighbor (SNN) and MSS/ORM OBIA strategy. The final result shows that the MSS/ORM OBIA approach greatly improves the classification accuracy and has good potential for automatic pond aquaculture land mapping in coastal zone from TM imagery.</span

Physiological Responses and Tolerance Evaluation of Five Poplar Varieties to Waterlogging

Waterlogging resistance of five poplar varieties, ‘Danhongyang’ (DHY), ‘Juba-261’ (JB-261), ‘Zongqiansanhao’ (ZQ-3), ‘Zhonglin-2025’ (ZL-2025), and ‘Nanlin-895’ (NL-895), was evaluated under the simulated waterlogging conditions. Data on changes in leaf color and morphology as well as in biochemical indices, such as chlorophyll, malonaldehyde, soluble protein, soluble sugar content, superoxide dismutase (SOD), peroxidases (POD), ascorbate peroxidase (APX), glutathione reductase (GR), and glutathione peroxidase (GSH-PX) activities, relevant to submergence stress, were analyzed. The principal component analysis of the data identified the waterlogging resistance coefficient of the indices, which showed that waterflooding brought about different degrees of damage in the five poplar varieties, with DHY having the lowest waterlogging index. The leaf pigment content of the poplar was remarkably decreased by waterlogging, whereas malondialdehyde (MDA) and proline contents were enhanced, but in different extents among the poplar varieties. Nearly all other poplar varieties showed a tendency of decline in JB-261, ZQ-3, ZL-2025, NL-895, except for SOD activity in DHY, which increased under submergence stress. Poplar varieties had varying degree of changes in POD activity, and APX activity tended to increase upon waterlogging. GR also displayed increasing tendency in JB-261, ZL-2025 and NL-895, except for in ZQ-3, which declined under waterlogging stress. GSH-PX except for ZQ-3 displayed no significant change, which showed a tendency of decline in DHY, JB-261, ZL-2025, and NL895. Principal component analysis allowed us to reduce16 indices to four independent indices. The subordinate function analysis identified that the DHY variety had the highest waterlogging tolerance, whereas the NL-895 variety had the lowest waterlogging tolerance among tested varieties

Dynamic Model Inference of Gene Regulatory Network based on Hybrid Parallel Genetic Algorithm and Threshold Qualification Method

Gene regulation is the process by which various substances in cells regulate the behaviour of gene expression, thereby controlling almost all cellular activities. Therefore, studying gene regulation not only helps to uncover the internal laws governing life processes but also plays a crucial role in predicting, diagnosing, treating, and designing drugs for genetic diseases. By utilizing multi-source biological information such as gene expression profiles, transcription factor information, and protein interaction data, a network model can be developed to depict the regulatory relationships between genes, facilitating further research. To address the limitations of traditional gene regulatory network construction methods, a novel dynamic model has been created by combining hybrid genetics and threshold restriction. This model comprises two parts: solution space reduction and parameter fitting. During solution space reduction, singular value decomposition is employed to define a mathematically feasible gene regulatory network, reducing unnecessary calculations. Subsequently, the control genes of each gene are constrained within a certain range using threshold limitation, enhancing computational efficiency while adhering to bioinformatics principles. In the parameter fitting phase, parallel genetic algorithms are utilized to expediently optimize the entire solution space. The mountain climbing method is then applied to solve problems meticulously within a limited scope, improving calculation accuracy. In this study, this approach was applied to establish genetic regulatory systems for complex skin melanoma and type 2 diabetes. Through comparison with actual networks, the validity of the method was confirmed. Compared to traditional genetic and particle swarm optimization methods, the effectiveness of the proposed method was verified. This paper models the intricate mechanism of gene regulation and elucidates the regulatory process involving genes, proteins, and small biological molecules in greater detail than other models, aligning more closely with intracellular dynamics laws.

Hopf Bifurcation Analysis for the van der Pol Equation with Discrete and Distributed Delays

We consider the van der Pol equation with discrete and distributed delays. Linear stability of this equation is investigated by analyzing the transcendental characteristic equation of its linearized equation. It is found that this equation undergoes a sequence of Hopf bifurcations by choosing the discrete time delay as a bifurcation parameter. In addition, the properties of Hopf bifurcation were analyzed in detail by applying the center manifold theorem and the normal form theory. Finally, some numerical simulations are performed to illustrate and verify the theoretical analysis