青年亚文化现象的重新解读

形式多样的青年亚文化形成了当代文化中的一个不容忽视的景观,给主流文化带来活力的同时也带来了冲击;同时,媒体呈现出的青年亚文化形象很大程度上成为大众看待青年亚文化的直接印象。通过对网游族、粉丝群体及愤青三种青年亚文化现象的重新解读,可以为客观看待青年亚文化提供一条路径,进而为更加全面分析当代青年提供线索。     

朋友圈里的“我”:青少年的经验

微信朋友圈是青少年进行线上表达和建构自我的理想场域。基于虚拟民族志的探索表明,青少年在朋友圈的线上的"我"具有真实性,它存在于自我相关资讯的持续分享中,其表演方式是展示而非告诉。圈子里的朋友关系建基于交谈事件而非共享情感。总体而言,青少年在朋友圈里的"我"是其"更为真实的理想形象"。这些线上的"我"们彼此孤独地相伴,常驻于各自的心,却终究相望/忘于彼此的"江湖"。     

报纸网络版版式新变化初探

本文拟对报纸网络版版式的新变化做一番梳理和归类,并通过解读它们来展示其对报纸网络版乃至报业集团和互联网发展的意义;在此基础上,再对报纸网络版版式可能的发展趋势做一些预测.     

Using Trellis software to enhance high-quality large-scale network data collection in the field

Trellis is a mobile platform created by the Human Nature Lab at the Yale Institute for Network Science to collect high-quality, location-aware, off-line/online, multi-lingual, multi-relational social network and behavior data in hard-to-reach communities. Respondents use Trellis to identify their social contacts by name and photograph, a procedure especially useful in low-literacy populations or in contexts where names may be similar or confusing. We use social network data collected from 1,969 adult respondents in two villages in Kenya to demonstrate Trellis’ ability to provide unprecedented metadata to monitor and report on the data collection process including artifactual variability based on surveyors, time of day, or location.     

“Paper,face-to-face and on my mobile please”: A survey of women’s preferred methods of receiving antenatal education

BackgroundAntenatal education prepares women for childbirth and can be delivered face-to-face, in hard-copy and electronically. Smartphones allow access to online learning and internet searching is common among pregnant women. It is unclear which mode of health information delivery women prefer.AimThis study aimed to investigate how women at one Local Health District (LHD) preferred to receive health information during pregnancy and the early postnatal period.MethodsWe developed a survey to gather data on women’s preferences for educational information. Women who were discharged from one LHD, in NSW Australia, were invited, in 2019, to participate in a simple 14 question survey, either online or in hard copy format.FindingsIn total, 685 women completed the survey which represented a 40% response rate over a period of two months. The survey revealed women commonly used smart phones, or other devices, to source information. Despite this, most women preferred to receive antenatal education via non-electronic methods. Of note many participants felt underprepared for the post-birth period. The method of survey completion, whether hardcopy or online, aligned with individuals’ preferences for information delivery.ConclusionNon-electronic methods of education delivery were the preferred method for most women, and this was consistent across all educational, cultural and socioeconomic levels. Women sought information online, or through apps, but these options did not always meet their knowledge needs, especially regarding the postnatal period. We recommend that hospitals continue to provide information in a variety of modes, as exclusively electronic methods may marginalise groups of women.     

基于移动教学平台的思政课线上教学模式探究

线上教学被日益广泛地应用于各门课程,也必将成为大势所趋。高校思政课线上教学必须探索灵活有效的教学模式,只有精心设计课前准备、课堂授课和课后巩固等环节,才能保证教学效果不打折扣,有效落实立德树人根本任务。     

基于收益共享契约的网络零售联合促销策略研究

网络零售业造节促销已成常态,优化网络零售平台(简称平台商)和销售商联合促销策略是一项值得深入研究的课题。本文基于收益共享契约,利用不同的博弈模型刻画入驻销售商和平台商之间三种不同的促销模式,包括由其中一方率先发起促销的模式和二者同时发起促销的模式,研究不同模式下销售商和平台商的最优促销策略。研究结论表明,在三种促销模式下,二者的最优促销策略均随着商品佣金费率的增长依次呈现三种不同的形式:从仅由销售商提供促销到联合促销再到仅由平台商提供促销。当且仅当佣金费率和商品的日常售价高于一定阈值时,销售商和平台商才会有动机开展联合促销。研究还发现,销售商和平台商在各自率先发起的联合促销模式下具备先动优势。销售商(平台商)率先发起的联合促销将更有利于对佣金费率较低(高)的商品实施。当销售商和平台商同时独立发起促销时,供应链整体促销力度最大,供应链的整体利润也最高。     

Online Education in Social Work,Effectiveness, Benefits,and Challenges: A Scoping Review

ABSTRACT

Online education has long been a controversial issue within the Australian social work community. Although technological advances have improved the quality of teaching substantially, scepticism and disbelief continue to exist. Despite the growing evidence base as to the effectiveness of online teaching, this tends to be overlooked. A scoping review of the literature was conducted to synthesise research conducted on online social work education to identify its effectiveness, potential, and challenges and to show whether online social work education will effectively prepare qualified social workers. This revealed that online education enhanced diversity and equity among social work students and students’ performances and satisfaction were similar for both online and on-campus students. Nevertheless, communication and engagement continue to be a challenge.

IMPLICATIONS

• Decisions on online education should be based on evidence of effectiveness rather than on the assumption that face-to-face teaching is superior.

• Further research is needed to explore effectiveness of online education for different groups of students.

• Employers’ experiences with social work graduates from online courses need further research.

• Academics require support to tailor courses interactively and suitably for online education.

     

Single machine batch scheduling with release times

Motivated by a high-throughput logging system, we investigate the single machine scheduling problem with batching, where jobs have release times and processing times, and batches require a setup time. Our objective is to minimize the total flow time, in the online setting. For the online problem where all jobs have identical processing times, we propose a 2-competitive algorithm and we prove a corresponding lower bound. Moreover, we show that if jobs with arbitrary processing times can be processed in any order, any online algorithm has a linear competitive ratio in the worst case. A preliminary version of a part of this paper was presented at the 31st International Symposium on Mathematical Foundations of Computer Science (MFCS 2006). We gratefully acknowledge reviewers’ comments that helped to improve the presentation of this work. Supported by the Swiss SBF under contract no. C05.0047 within COST-295 (DYNAMO) of the European Union. Research carried out while B. Weber was affiliated with the Institute of Theoretical Computer Science, ETH Zurich.     

A note on online strip packing

In online strip packing we are asked to pack a list of rectangles one by one into a vertical strip of unit width, without any information about future rectangles. The goal is to minimize the total height of strip used. The best known algorithm is First Fit Shelf algorithm (Baker and Schwarz in SIAM J. Comput. 12(3):508–525, 1983), which has an absolute competitive ratio of 6.99 under the assumption that the height of each rectangle is bounded from above by one. We improve the shelf algorithm and show an absolute competitive ratio of without the restriction on rectangle heights. Our algorithm also beats the best known online algorithm for parallel job scheduling. Ye’s research supported by NSFC(10601048). Zhang’s research supported by NSFC(60573020).