多模态英语教学模式下高职高专学生综合素质培养探究——基于电信系学生的一项研究

本文结合教学课程设置、教学手段和能力、评估手段等多方面进行多模态构建尝试,通过实证研究分析高职教师在课堂中运用多模态教学模式对学生英语综合素养培养的作用。结果表明,多模态英语教学模式能够激发学生多感官体验,提高其学习兴趣,促进语言学习效果,对学生英语综合素养培养有促进作用。但在教学中应根据学生的水平和能力,遵循多模态协同原则,优化多模态教学活动,营造多模态适用环境,才能推进多模态教学,提高学生英语综合素质。     

综合治疗四肢原发性恶性肿瘤65例分析

四肢恶性肿瘤可发生于任何年龄,以青少年多见。传统的治疗方法是高位截肢等,虽然尽可能地彻底切除了原发病灶,但不能同时消灭亚临床微小病灶,因而预后很差,5年生存率仅为20%左右。随着化疗药物的飞速发展和医疗技术不断提高,我组1982～1988年综合治疗四肢原发性恶性肿瘤65例取得了满意效果,将5年生存率提高达67.92%。综合疗法包括术前后周身化疗、动脉区域灌注灭活再植、体内切刮灭活法及截肢等。     

A study of tour-based mode choice based on a Support Vector Machine classifier

A new approach in recognizing travel mode choice patterns is proposed, based on the Support Vector Machine classification technique. The tour-based travel demand dataset that is analysed is for New York State, derived from the 2009 U.S. National Household Travel Survey. The main features characterizing each tour are the means used, travel-related variables and socioeconomic aspects. Results obtained demonstrate the ability to predict to some extent, in real settings where car use dominates, which tours are likely to be made by public transport or non-motorized means. Moreover, the flexibility of the technique allows assessing the predictive power of each feature according to the combination of travel means used in different tours. Potential applications range from activity-based travel choice simulators to search engines supporting personalized travel planners – in general, whenever ‘best guesses’ on mode choice patterns have to be made quickly on large amounts of data prejudicing the possibility of setting up a statistical model.