Theoretical Framework of Empirical Study on Consumer Behavior in Web-Based Commerce

Web-based commerce has brought great challenges and opportunities to companies. To seize the opportunities, the company must work out well-conceived web-based marketing strategy, which, to great extent, relies on the good understanding of consumer behavior in web-based commerce. Based on general theoretical framework of study on consumer behavior and current achievement in this area both oversea and home, the theoretical framework of empirical study on consumer behavior in web-based commerce is put forth. In this theoretical framework, two dependent variables is determined as unplanned purchase and customers’ intention to return, which are affected by two attitudinal variables, i.e. perceived control and shopping enjoyment. The two attitudinal variables are also affected by individual factors and web store factors, which also contain certain sub-factors. At the end of this paper, some suggestions on further study in this field are brought forward as well

Impulsive control of nonlinear systems with impulse time window and bounded gain error

In this paper, we establish a new sufficient condition for the stability of impulsive systems with impulse time window and bounded gain error. The proposed result is more general and more applicable than some existing results. Finally, a numerical example is given to show the effectiveness of our result

Analysis on Characteristics of Traffic Demand about SuTong Bridge

AbstractThanks to her special geographical location, SuTong Changjiang Highway Bridge, which lies in the most economically developed area-Yangtze River Delta, becomes the vital transportation passageway to prosper the economic development between South of Jiangsu province and Zhejiang & Shanghai. This paper analyzed the characteristics of traffic demand of SuTong Bridge from different angles, such as hourly/daily/monthly/space/vehicle-types features and drew some significant conclusions, based on the particular data of traffic volume of SuTong Bridge in 2010. The conclusions comprises: the traffic demand of Sutong Bridge increased by nearly 18 thousand vehicles per month; Average monthly growth rate was 1.95%; MADT in October was the highest (1/k was up to 1.12); In addition, the spatial distribution and the motor-type proportion of river-crossing vehicles were analysed

Disease Diagnosis Prediction of EMR Based on BiGRL-Att-CapsNetwork Model

Electronic Medical Records (EMR) carry a large number of diseases characteristics, history and other specific details of patients, which has great value for medical diagnosis. These data with diagnostic labels can help automated diagnostic assistant to predict disease diagnosis and provide a rapid diagnostic reference for doctors. In this study, we designed a BiGRU-Att-CapsNetwork model based on our proposed CMedBERT Chinese medical domain pre-trained language model to predict disease diagnosis in Chinese EMR. In the wide-ranging comparative experiments involving a real EMR dataset (SAHSU) and an academic evaluation task dataset (CCKS 2019), our model obtained competitive performance

A Joint Model of Clinical Domain Classification and Slot Filling Based on RCNN and BiGRU-CRF

The task of the Intent Classification & Slot Filling serves as a key joint task in the voice assistant, which also plays the role of the pre-work in the construction of the medical consultation assistant system. How to distribute a doctor-patient conversation into a formatted electronic medical record to an accurate department (Intent Classification) to extract the key named entities or mentions (Slot Filling) through a specialized domain knowledge recognizer is one of the key steps of the entire system. In real cases, the medical vocabulary and clinical entities in different departments of the hospital often differ to some extent. Therefore, we propose a comprehensive model based on CMed-BERT, RCNN and BiGRU-CRF for a joint task of department identification and slot filling of the specific domain. Experimental results confirmed the competitiveness of our model