Do Free Users Make Seller Pay? The Asymmetry Network Effect of Free Users on Fee Sellers in Business-to-Business Electronic Platform

With the prosperity of worldwide e-commerce, platforms generally conduct premium model to convert customer assets. Extant research has investigated the network effect at e-commerce platform, but no study to date has analyzed whether the influx of free users can stimulate sellers to pay for the membership or backfire. In the context of B2B electronic market, we examine the dynamic network effect of free users in different participation quality on fee sellers with a VAR model. The results show that (1) the rise of registered regular sellers can incite more fee sellers to pay for the membership than that of regular buyers; (2) external users attracted by advertising (search advertising and social media advertising in this paper) can impact targeted internal user base. These findings emphasize more exploration should be pay attention to the engagement quality of user base in two-sided markets, and provide guidance related to advertising strategy

The Test of Univariate Normality and Multivariate Normality Based on R Language

The normal distribution is a widely used distribution and has a very important probability distribution in the fields of mathematics, physics and engineering. In natural and social phenomena, a large number of random variables obey or approximately obey the normal distribution, so it is always customary to assume that they are in line with normality when doing data analysis, but whether the assumption is true or not depends on the normality of test. Therefore, the judgment method of normal distribution is also particularly important. This paper proposes corresponding test methods for univariate normality and multivariate normality under the premise of R language

Effects of alkyl chain length of acrylates on sizing properties of grafted feather keratin

In this study, sizing properties of grafted feather keratin for high polyester content warp yarns have been improved bypreparing a series of feather keratin-g-poly(acrylic acid-co-acrylate) through grafting acrylate monomers with various alkylchain lengths and hydrophilic monomer [acrylic acid (AA)] onto molecular chains of native feather keratin. The feed molarratio of AA/acrylate is kept constant during the preparation. Effects of alkyl chain length of acrylate monomers on sizingproperties of feather keratin-g-poly(acrylic acid-co-acrylate) to polyester/cotton(65/35) blended warp yarns has been studiedin terms of tensile strength & elongation, abrasion resistance, and hairiness. The grafting of acrylates onto the molecularchains of feather keratin significantly improves the sizing properties of grafted feather keratin. With the increase in alkylchain length, the tensile strength, tensile elongation, and abrasion resistance of the sized yarns are improved, while thehairiness amount is increased. Acrylate monomers with different alkyl chain lengths during the preparation of graftedfeather keratin sizes can be selected according to various requirements for high polyester content warp yarns

"LIVING HIGH-TRAINING LOW" ALTITUDE TRAINING ON IMPROVEMENT OF SEA LEVEL HEMOGLOBIN/HEMATOCRIC IN MALE AND FEMALE ELITE SWIMMERS

This study investigated the effect of "living high-training low" altitude on improvement of sea level hemoglobin and hematocric in male and female elite swimmers. A total of ten elite swimmers at the international and national level was recruited and randomly divided into two groups, altitude training group and control group. The athletes in altitude training group lived high condition while training at sea level for three weeks. The altitude was set at 2,800m. The all subjects in both groups accepted same training in the intensity, frequency and duration. Hemoglobin and hematocric were measured at sea level on seven occasions, the day before starting the experiment, during the period of experiment and the day completing the experiment. The results showed that the hemoglobin and hematocric in altitude training group increased 8.6% and had significant difference compared with those before the experiment. While the level of hemoglobin and hematocric in control group did not show any obvious change. "Living high-training low" altitude training can significantly improve the level of hemoglobin and hematocric

Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs

Localization plays a crucial role in enhancing the practicality and precision of VQA systems. By enabling fine-grained identification and interaction with specific parts of an object, it significantly improves the system's ability to provide contextually relevant and spatially accurate responses, crucial for applications in dynamic environments like robotics and augmented reality. However, traditional systems face challenges in accurately mapping objects within images to generate nuanced and spatially aware responses. In this work, we introduce "Detect2Interact", which addresses these challenges by introducing an advanced approach for fine-grained object visual key field detection. First, we use the segment anything model (SAM) to generate detailed spatial maps of objects in images. Next, we use Vision Studio to extract semantic object descriptions. Third, we employ GPT-4's common sense knowledge, bridging the gap between an object's semantics and its spatial map. As a result, Detect2Interact achieves consistent qualitative results on object key field detection across extensive test cases and outperforms the existing VQA system with object detection by providing a more reasonable and finer visual representation.Comment: Accepted to IEEE Intelligent System