Maîtrise des clitiques datifs dans les structures bitransitives en français L2 par des apprenants anglophones : influence de la structure argumentale de la L1

The objective of this study is to measure the influence of L1 verb argument structure, as well as verb meaning, on the mastery of dative clitics in French as a second language for a group of Anglophone learners. More specifically, we focus on ditransitive structures. While French and English share the V NP PP structure, English also has a double-object structure, V NP NP, for a subset of verbs. The results of our study show that L1 argument structure influences the mastery of dative clitics in French, especially for verbs that only accept the double-object structure in English. Further, the behaviour of our participants with verbs that accept the dative alternation led us to conduct a follow-up study. The findings show that verb meaning also influences performance with dative clitics, but this effect cannot be explained by L1 influence.

Имитационная модель исследования структуры объекта методом послойной цифровой комптоновской радиографии

A simulation model of the object structure by the layered digital Compton radiography (tomography) is proposed. The developed model takes into account the geometry of experiment, the parameters of the source and the gamma radiation detectors equipped with a special system of collimators. The simulation model is implemented as a program in the MathCAD software. The capabilities of the simulation model and the corresponding code are demonstrated for an aluminum barrier with spherical local inclusions.

Image congruence and visual object structure of anthropomorphic advertisement-eye movement research based on self-construct

PurposeEnterprises often use anthropomorphic images to display products. In this study, by discussing the differences of the anthropomorphic images of juxtaposition and fusion, the authors can distinguish the boundary conditions of the influence of different visual object structures on consumers' attention.Design/methodology/approachBased on schema theory and information processing theory and using eye movement methods, this study analyzed the attractiveness of anthropomorphic images to consumers under different congruence levels through experiments of 2 (congruence: high and low) *2(visual object structure: juxtaposition and fusion)*2(self-construct: interdependent and independent). This study discusses the difference in the attractiveness of interdependent and independent consumers in the context of high congruence, juxtaposition and fusion of two visual object structures.FindingsThe results show that compared with the low congruence anthropomorphic image, the high congruence anthropomorphic image can attract more attention of consumers. In the case of low compatibility of anthropomorphic images, the juxtaposition structure of anthropomorphic images is more attractive to consumers than the fusion structure. In the case of high compatibility of anthropomorphic images, for independent self-consumers, the attraction of fusion structure image is higher than the juxtaposition image, and for interdependent self-consumers, the attraction of juxtaposition image is higher than the fusion image.Originality/valueThe conclusion enriches the anthropomorphic marketing theory. It reveals different degrees of attention paid to anthropomorphic image by consumers of different types of self-construct. Eye movement methods provide a new perspective for the study of anthropomorphic marketing and provide a reference for enterprises to publicize products or services through anthropomorphic image.

DESIGN, ANALYSIS AND TEST OF SMALL ROTARY LAWN MOWER OF SINGLE-DISC TYPE

Machine quality, mowing efficiency and work reliability of lawn mowers are main issues concerned in hilly and mountainous regions. Taking a rotary lawn mower of single-disc type as research object, structure and parameter design of the mower was defined according to empirical formula, performance of grass cutting and modal analysis of the cutting blades were conducted by means of EDEM and Creo, and field test was conducted to verify the overall performance of the machine. Results showed that symmetrically installed 2 cutting blades with revolution speed 3500 r/min and forward speed 1.4 m/s showed good performance of grass cutting and stability. The velocity of grass particles of cut grass was mostly in the range of 1.1-1.5 m/s, and the velocity of broken grass was stable, which proved good harvest and gathering of grass. The height of remained stubbles was about 50 mm, and the length of cut grass was distributed in the range of 30-60 mm, which met requirements of forage production.

An effective RGB color selection for complex 3D object structure in scene graph systems

The goal of this project is to develop a complete, fully detailed 3D interactive model of the human body and systems in the human body, and allow the user to interacts in 3D with all the elements of that system, to teach students about human anatomy. Some organs, which contain a lot of details about a particular anatomy, need to be accurately and fully described in minute detail, such as the brain, lungs, liver and heart. These organs are need have all the detailed descriptions of the medical information needed to learn how to do surgery on them, and should allow the user to add careful and precise marking to indicate the operative landmarks on the surgery location. Adding so many different items of information is challenging when the area to which the information needs to be attached is very detailed and overlaps with all kinds of other medical information related to the area. Existing methods to tag areas was not allowing us sufficient locations to attach the information to. Our solution combines a variety of tagging methods, which use the marking method by selecting the RGB color area that is drawn in the texture, on the complex 3D object structure. Then, it relies on those RGB color codes to tag IDs and create relational tables that store the related information about the specific areas of the anatomy. With this method of marking, it is possible to use the entire set of color values (R, G, B) to identify a set of anatomic regions, and this also makes it possible to define multiple overlapping regions.

Structural optimization design of typical adhesive bonded sandwich T-joints based on progressive damage analysis and multi-island genetic algorithm

This paper deals with the optimization of multi-laminate structures by Multi-Island Genetic Algorithm (MIGA) coupled with CAE solver. The optimization problem is a compound problem which relates to size optimization for object structure and stacking sequence optimization for variable-thickness composite laminates. Taking a typical adhesive bonded sandwich T-joint under a reference pull-off load as an instance object and establishing strength conditions on the basis of progressive damage analysis, optimum design is carried out with the total weight of joint as the target function. Progressive damage model (PDM) methodology and cohesive zone model (CZM) methodology are employed to develop an exact finite element model of the object structure. Classified failure criteria are chosen to investigate the capability of the joint in bearing the applied load. The optimization procedure on the typical adhesive bonded sandwich T-joint showed 34.24% weight reduction compared to the initial laminated structure. On the basis of history data, the study further brings out the influence of design variables on some main constraint variables.