Nearest-biclusters collaborative filtering based on constant and coherent values

Collaborative Filtering (CF) Systems have been studied extensively for more than a decade to confront the “information overload” problem. Nearest-neighbor CF is based either on similarities between users or between items, to form a neighborhood of users or items, respectively. Recent research has tried to combine the two aforementioned approaches to improve effectiveness. Traditional clustering approaches (k-means or hierarchical clustering) has been also used to speed up the recommendation process. In this paper, we use biclustering to disclose this duality between users and items, by grouping them in both dimensions simultaneously. We propose a novel nearest-biclusters algorithm, which uses a new similarity measure that achieves partial matching of users’ preferences. We apply nearest-biclusters in combination with two different types of biclustering algorithms—Bimax and xMotif—for constant and coherent biclustering, respectively. Extensive performance evaluation results in three real-life data sets are provided, which show that the proposed method improves substantially the performance of the CF process.

Archival Science in Brazil: the establishment of a scientific discipline and its impact on training archivists in the era of information and knowledge

This article addresses the trajectory of Archival Science in Brazil, its extracurricular characteristics and its particular relationship with Information Science within academics, its institutional associations, and some considerations regarding current training for archivists in Brazil. The methodological procedures used included analyzing documents from the National Archive Fonds of Brazil, reviewing archive literature, and interviewing people involved in consolidating Archival Science. This study concludes that Archival Science research is taking place in graduate programs throughout public Brazilian universities and points out that people working with archives now have more advanced training, such as undergraduate degrees in Archival Science or other. This study also focuses on archives as information units, while presenting and reflecting on the demands of training archivists who are faced with the challenges of the working world and the era of information and knowledge—challenges that go beyond merely technical procedures and encompass dynamic planning and orientation activities.     

A compressed self-index using a Ziv–Lempel dictionary

A compressed full-text self-index for a text T, of size u, is a data structure used to search for patterns P, of size m, in T, that requires reduced space, i.e. space that depends on the empirical entropy (H _k or H ₀) of T, and is, furthermore, able to reproduce any substring of T. In this paper we present a new compressed self-index able to locate the occurrences of P in O((m + occ)log u) time, where occ is the number of occurrences. The fundamental improvement over previous LZ78 based indexes is the reduction of the search time dependency on m from O(m ²) to O(m). To achieve this result we point out the main obstacle to linear time algorithms based on LZ78 data compression and expose and explore the nature of a recurrent structure in LZ-indexes, the suffix tree. We show that our method is very competitive in practice by comparing it against other state of the art compressed indexes.

Word Play: Scaffolding Language Development Through Child-Directed Play

Play is an important activity in young children’s lives. It is how children explore their world and build knowledge. Although free play, which is play that is totally child directed, contributes to children’s learning, self-regulation and motivation, adults’ participation in children’s play is critical in their development, especially their language development. Guided by children, adults can help scaffold children’s language, and especially their learning. We suggest that adults scaffold children’s language during play by using research based strategies such as asking questions that invite extended responses and new inquiry, provide meaningful feedback and effectively use wait time, which provides children with the opportunity to respond to adults’ comments and questions. The goal is to provide adults with strategies to scaffold children’s language development during play while allowing children to direct their own play activities.     

Integrating Writing into the Early Childhood Curriculum: A Frame for Intentional and Meaningful Writing Experiences

Despite the importance of early writing development to children’s school success, research documents that early childhood teachers spend little time actively supporting children’s writing development in preschool classrooms. This article provides a framework for integrating writing experiences across the early childhood curriculum. Practical examples are given regarding how writing opportunities can be incorporated into existing activities and play settings. The metaphor of backgrounding and foregrounding writing experiences is used to illustrate ways that teachers can set writing rich environments and activities in a manner that makes it easier for teachers to bring these experiences into everyday learning opportunities. Attention is given to how teachers can bring writing to the foreground of the curriculum by drawing attention to writing materials, making natural connections with children’s interest and play, and scaffolding children’s early writing attempts and experiences.     

MicroRNAs: Tiny genetic switches in our genome

Gary Ruvkun is a winner of the 2015 Breakthrough Prize in Life Sciences. He is a co-discoverer of microRNAs (with Victor Ambros, University of Massachusetts), regarded as one of the seminal discoveries of 21st century molecular biology. In addition to the Breakthrough Prize, Ruvkun and Ambros have received the Warren Triennial Prize, the Laskar Foundation Award, and numerous other awards and prizes. Professor Ruvkun obtained his PhD from Harvard University, did his postdoctoral research at MIT, and subsequently accepted a faculty position at Harvard, where he is currently Professor of Genetics. His laboratory conducts research on basic cellular processes, using the worm C. elegans as a model system.     

Multi-core microprocessors

Multi-core microprocessor is an interconnected set of independent processors called cores integrated on a single silicon chip. These processing cores communicate and cooperate with one another to execute one or more programs faster than a single core processor. In this article we describe how and why these types of processors evolved. We also describe the basics of how multi-core microprocessors are programmed.     

Dutch Publishing Industry Seeks Startups Through the Renew the Book Competition

In order to find new ways of growing the market, the Dutch General Publishers Association developed an innovation-competition for startups worldwide to bring innovative thinking and ideas into the Dutch Publishing Industry. The competition is the first and only program dedicated to startups leveraging new and creative business ideas around all the elements of book publishing and has its second edition this year. The competition is for startups, who are active in areas such as publishing automation, book retail, data analytics, authoring, book content development, and audience engagement.