A new intrinsically knotted graph with 22 edges

A graph is called intrinsically knotted if every embedding of the graph contains a knotted cycle. Johnson, Kidwell and Michael showed that intrinsically knotted graphs have at least 21 edges. Recently Lee, Kim, Lee and Oh, and, independently, Barsotti and Mattman, showed that $K_7$ and the 13 graphs obtained from $K_7$ by $\nabla Y$ moves are the only intrinsically knotted graphs with 21 edges. In this paper we present the following results: there are exactly three triangle-free intrinsically knotted graphs with 22 edges having at least two vertices of degree 5. Two are the cousins 94 and 110 of the $E_9+e$ family and the third is a previously unknown graph named $M_{11}$. These graphs are shown in Figure 3 and 4. Furthermore, there is no triangle-free intrinsically knotted graph with 22 edges that has a vertex with degree larger than 5

Effects of Information Sidedness on Young Consumer Attitudes and Subjective Norms toward Fashion Products Made of Fur, Leather, and Wool

This study examined how information about fashion products made of animal-based materials might influence consumer attitudes and subjective norms. Based on elaboration likelihood model and theory of reasoned action, eight hypotheses were proposed and tested effects of (a) one-sided positive information; (b) one-sided negative information; and (c) two-sided information about animal-based materials on consumer attitudes and subjective norms toward purchasing fashion products made of fur, leather, and wool. A control group that received information irrelevant to animal-based materials was also used. An experiment employing a between-subjects design was conducted. A randomized multi-group design with four levels of treatment was employed. One-way ANOVA tests and multiple regression analyses were conducted (N = 1,291). One-sided information influenced consumer attitudes and subjective norms in the direction intended, with the exception of attitudes for wool and subjective norms for fur products. Two-sided information had no impact on consumer attitudes and subjective norms, with the exception of wool products

Determinants of Apparel Export Performance in Developed Economics

The purpose of the study was to examine factors that can explain apparel export performance in developed countries

Complex Coacervation of Polymerized Ionic Liquids in Non-acqueous Solvents

Oppositely charged polymerized ionic liquids (PILs) were used to form complex coacervates in two different organic solvents, 2,2,2-trifluoroethanol (TFE) and hexafluoro-2-propanol (HFIP), and the corresponding phase diagrams were constructed using UV–vis, NMR, and turbidity experiments. While previous studies on complex coacervates have focused almost exclusively on aqueous environments, the use of PILs in the current work enabled studies in solvents with substantially lower dielectric constants (27.0 for TFE, 16.7 for HFIP). The critical salt concentration required to induce complete miscibility was roughly 2-fold larger in HFIP compared with TFE, and two different PIL complexes, solidlike precipitates and liquidlike coacervates, were found in both systems. This study provides insight into the effects of low-dielectric-constant solvents on complex coacervation, which has not been widely studied because of the limited solubility of conventional polyelectrolytes in these media

Occluded Person Re-Identification via Relational Adaptive Feature Correction Learning

Occluded person re-identification (Re-ID) in images captured by multiple cameras is challenging because the target person is occluded by pedestrians or objects, especially in crowded scenes. In addition to the processes performed during holistic person Re-ID, occluded person Re-ID involves the removal of obstacles and the detection of partially visible body parts. Most existing methods utilize the off-the-shelf pose or parsing networks as pseudo labels, which are prone to error. To address these issues, we propose a novel Occlusion Correction Network (OCNet) that corrects features through relational-weight learning and obtains diverse and representative features without using external networks. In addition, we present a simple concept of a center feature in order to provide an intuitive solution to pedestrian occlusion scenarios. Furthermore, we suggest the idea of Separation Loss (SL) for focusing on different parts between global features and part features. We conduct extensive experiments on five challenging benchmark datasets for occluded and holistic Re-ID tasks to demonstrate that our method achieves superior performance to state-of-the-art methods especially on occluded scene.Comment: ICASSP 202