Examining the Double-Deficit Hypothesis in an Orthographically Consistent Language

As many of you know, this is my final issue as editor of Scientific Studies of Reading. The new editor, Charles Hulme, has the work well in hand and has actually completed the editing of two articles which appeared in Issue 3 of this volume. The journal will be in good hands. I want to thank the many board members, reviewers, and authors for their energy, talents, and enthusiasm in the cause of advancing the journal. It's been a great privilege to be able to work with you and to guide the journal for 5 years. The current issue is a special issue, which had its inception in an idea of Mike Pressley's to have authors assess the present and future of key areas of literacy research. The first three articles in this issue are part of the special issue. The fourth article is a rewritten version of Charles Perfetti's Distinguished Scientific Contribution presentation at the July 2006 SSSR meeting. I append comments about Mike Pressley, written by Joanna Williams, who appropriately was the first editor of Scientific Studies of Reading and who had a hand in this special issue.     

Relationships Among Cortical Thickness,Reading Skill,and Print Exposure in Adults

This study investigated relationships among cortical thickness in the left-hemisphere reading network, and reading skill and experience in adult nonimpaired readers. Given the relationship between print exposure and reading, it is possible that print exposure is related to cortical structure. The pattern of correlations indicated that individuals with higher print exposure had better reading skills and thicker cortices. Furthermore, print exposure accounted for unique variance in cortical thickness in part of the left-hemisphere reading network after accounting for reading skill. This suggests that some of the variation in cortical thickness in adults might be attributable to reading experience, independently of reading skill.     

Training to Improve New Product Sales Performance: The Case of Samsung in China

The authors report a case study conducted with over 8,000 Samsung salespeople in the Chinese market. Using research‐oriented, evidence‐based, and systematic approaches, training professionals contributed to Samsung's business outcomes at multiple levels. The case highlights the valuable impacts of training on salespeople's behaviors and new product sales performance and provides meaningful implications for trainers as they strive to be relevant to their business partners.     

Attracting solutions in crowdsourcing contests: The role of knowledge distance,identity disclosure,and seeker status

We investigate in the context of crowdsourcing how seekers can increase open innovation performance, measured as received solver attention, by making two strategic decisions: selecting innovation tasks that are well suited for crowdsourcing and choosing between the potentials of status signalling through identity disclosure versus enjoying the benefits of anonymity. Drawing on uncertainty reduction theory, we suggest that a well-articulated problem statement reduces uncertainties of potential solvers and increases their willingness to participate. We argue that the ability of seekers to draft high-quality problem statements depends on the distance between the problem domain and their current knowledge stock. An analysis of 637 crowdsourcing projects finds that problem-seeker knowledge distance and received solver attention are curvilinear related such that moderate levels of knowledge distance maximize solver participation. However, high-status seekers who engage in identity-based status signalling are able to benefit from crowdsourcing across all levels of problem-seeker knowledge distance.     

Cognitive-inspired domain adaptation of sentiment lexicons

Sentiment lexicons are essential tools for polarity classification and opinion mining. In contrast to machine learning methods that only leverage text features or raw text for sentiment analysis, methods that use sentiment lexicons embrace higher interpretability. Although a number of domain-specific sentiment lexicons are made available, it is impractical to build an ex ante lexicon that fully reflects the characteristics of the language usage in endless domains. In this article, we propose a novel approach to simultaneously train a vanilla sentiment classifier and adapt word polarities to the target domain. Specifically, we sequentially track the wrongly predicted sentences and use them as the supervision instead of addressing the gold standard as a whole to emulate the life-long cognitive process of lexicon learning. An exploration-exploitation mechanism is designed to trade off between searching for new sentiment words and updating the polarity score of one word. Experimental results on several popular datasets show that our approach significantly improves the sentiment classification performance for a variety of domains by means of improving the quality of sentiment lexicons. Case-studies also illustrate how polarity scores of the same words are discovered for different domains.     

书刊市场 数码印刷的巨大商机

有关书刊市场,最重要的莫过于它为胶印和数码印刷提供的市场机遇了。胶印在这个市场机遇中占据着最大的份额,而数码印刷则面临着实实在在的增长机遇。