Lattice Statistics Of Polymer Adsorption

The interaction of branched polymers with an adsorption surface is studied using rigorous and numerical methods. For a polymer network with a fixed topology and consisting of self-avoiding chains, we prove that the reduced free energy is the same as that for self-avoiding walks interacting with a surface. For a network modelled by a lattice animal, we prove that a phase transition exists when such an animal interacts with a surface. The transition points are numerically studied by one and two variable Pade approximants. A number of rigorous results for the statistics of lattice animals are also obtained

Lightening Striking

Our design was created to address both aesthetics and function. The aesthetic goal for this design was to create an assertive style by showcasing the juxtaposition of lightening striking on a stark night against a backdrop of dark billowing clouds. The functional goal was to create a warm, cozy coat that could be worn for protection from moderately cold weather

Tribute to Schiaparelli

We designed this coat as a tribute to Elsa Schiaparelli. Since Schiaparelli was among the first designers to embrace synthetic fabrics, using auburn striped faux fur was a natural choice. She was also known for unusual silhouette and structural novelty

Digital economy to promote the transformation and upgrading of international trade strategy research

With the rapid development of social economy, a variety of advanced technologies and equipment have emerged, which ushered in the era of digital economy, and then promote the upgrade and transformation of international trade, the development goal is in line with the inherent requirements of the current international economic environment. In the context of digital economy, can further promote the international trade subject diversifi cation, diversifi cation of trade products, trade cost structure of the depth of development, it can be seen that the need to continue to invest manpower, material resources and funds to promote the eff ective integration of digital economy and international trade, and ultimately help the upgrade and transformation of international trade. How to further promote the transformation and upgrading of international trade with the help of the development of digital economy is an important issue for current researchers to solve. This paper will launch an in-depth exploration around this issue, so as to comprehensively promote the high-quality development of international trade

Morphological hit-or-miss transformation for shape recognition

In this paper, the morphological hit-or-miss transformation is analyzed for use in the recognition of both perfect shapes and imperfect shapes. Shape recognition is achieved by locating the objects to be recognized within the image. The shape recognition problem is discussed in the following two aspects. First, a theorem is presented in which the hit-or-miss operations employ the structuring elements [thetav]A and [thetav](W [subset of] Ac), instead of using sets A and (W [subset of] Ac). Here A is the boundary of A, and [thetav](Q [subset of] Ac) is the containing A, [thetav]A is the boundary of A, and [thetav](W [subset of] Ac) is the boundary of (W [subset of] Ac). Second, the recognition of imperfect shapes due to indeterminate variation of an object shape is studied here. Our method employs a priori known shape information as a basis for structuring elements and constructs structuring elements which are then used in a hit-or-miss transformation to find the location of the shape to be recognized. Each occurrence of a target shape is represented either by one point or by a small cluster of points within a calculated range according to the associated structuring elements. Finally, we present the hit-or-miss operation without window restrictions as a technique for recognizing both perfect and imperfect shapes, thereby making the method more flexible.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/29148/1/0000190.pd

Surface structure and multigap superconductivity of V3Si (111) revealed by scanning tunneling microscopy

V3Si, a classical silicide superconductor with relatively high TC (~16 K), is promising for constructing silicon-based superconducting devices and hetero-structures. However, real space characterization on its surfaces and superconducting properties are still limited. Here we report the first low-temperature scanning tunnelling microscopy (STM) study on cleaned V3Si (111) single crystal surface. We observed a r3 by r3 superstructure which displays mirror symmetry between adjacent terraces, indicating the surface is V-terminated and reconstructed. The tunneling spectrum shows full superconducting gap with double pairs of coherence peaks, but has a relatively small gap size with comparing to bulk TC. Impurity induced in-gap state is absent on surface defects but present on introduced magnetic adatoms. Upon applying magnetic field, a hexagonal vortex lattice is visualized. Interestingly, the vortex size is found to be field dependent, and the coherence length measured from single vortex at low field is significantly larger than estimated value from bulk H_c2. These results reflect V3Si is a multi-band, s- wave superconductor

Aligning Recommendation and Conversation via Dual Imitation

Human conversations of recommendation naturally involve the shift of interests which can align the recommendation actions and conversation process to make accurate recommendations with rich explanations. However, existing conversational recommendation systems (CRS) ignore the advantage of user interest shift in connecting recommendation and conversation, which leads to an ineffective loose coupling structure of CRS. To address this issue, by modeling the recommendation actions as recommendation paths in a knowledge graph (KG), we propose DICR (Dual Imitation for Conversational Recommendation), which designs a dual imitation to explicitly align the recommendation paths and user interest shift paths in a recommendation module and a conversation module, respectively. By exchanging alignment signals, DICR achieves bidirectional promotion between recommendation and conversation modules and generates high-quality responses with accurate recommendations and coherent explanations. Experiments demonstrate that DICR outperforms the state-of-the-art models on recommendation and conversation performance with automatic, human, and novel explainability metrics.Comment: EMNLP 202

MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer

Arbitrary style transfer (AST) transfers arbitrary artistic styles onto content images. Despite the recent rapid progress, existing AST methods are either incapable or too slow to run at ultra-resolutions (e.g., 4K) with limited resources, which heavily hinders their further applications. In this paper, we tackle this dilemma by learning a straightforward and lightweight model, dubbed MicroAST. The key insight is to completely abandon the use of cumbersome pre-trained Deep Convolutional Neural Networks (e.g., VGG) at inference. Instead, we design two micro encoders (content and style encoders) and one micro decoder for style transfer. The content encoder aims at extracting the main structure of the content image. The style encoder, coupled with a modulator, encodes the style image into learnable dual-modulation signals that modulate both intermediate features and convolutional filters of the decoder, thus injecting more sophisticated and flexible style signals to guide the stylizations. In addition, to boost the ability of the style encoder to extract more distinct and representative style signals, we also introduce a new style signal contrastive loss in our model. Compared to the state of the art, our MicroAST not only produces visually superior results but also is 5-73 times smaller and 6-18 times faster, for the first time enabling super-fast (about 0.5 seconds) AST at 4K ultra-resolutions. Code is available at https://github.com/EndyWon/MicroAST.Comment: Accepted by AAAI 202