Predicting future dynamics from short-term time series using an Anticipated Learning Machine

Predicting time series has significant practical applications over different disciplines. Here, we propose an Anticipated Learning Machine (ALM) to achieve precise future-state predictions based on short-term but high-dimensional data. From non-linear dynamical systems theory, we show that ALM can transform recent correlation/spatial information of high-dimensional variables into future dynamical/temporal information of any target variable, thereby overcoming the small-sample problem and achieving multistep-ahead predictions. Since the training samples generated from high-dimensional data also include information of the unknown future values of the target variable, it is called anticipated learning. Extensive experiments on real-world data demonstrate significantly superior performances of ALM over all of the existing 12 methods. In contrast to traditional statistics-based machine learning, ALM is based on non-linear dynamics, thus opening a new way for dynamics-based machine learning.     

Project-based learning in post-WWII Japanese school curriculum: an analysis via curriculum orientations

In the 2000s, the new national curriculum, dubbed as the ‘yutori curriculum,’ introduced a new subject for project-based learning ‘Integrated Study’ as its prominent feature. Comparing curriculum orientations in project-based learning in three historical periods after the WWII including Integrated Study, this paper aims to offer a genealogy of postwar Japanese school curriculum primarily based on a critical reading of the national curriculum guidelines on project-based learning, which is emblematic of the extending power of postwar Japan's curriculum authorities. Although Integrated Study was purportedly child-centered and put emphasis on each child's personal relevance and each school's autonomy, the finding of this study shows that Integrated Study in the yutori curriculum was rather a technology that disciplined schools, teachers, and classroom processes to shape children into morally good and cognitively flexible Japanese nationals. Despite its rhetoric of child-centeredness and personal relevance, the introduction of Integrated Study as part of the yutori curriculum was ultimately part of the state's move to gain further control over schooling.     

Collaborative filtering for expansion of learner’s background knowledge in online language learning: does “top-down” processing improve vocabulary proficiency?

In recent years, collaborative filtering, a recommendation algorithm that incorporates a user’s data such as interest, has received worldwide attention as an advanced learning support system. However, accurate recommendations along with a user’s interest cannot be ideal as an effective learning environment. This study aims to develop and evaluate an online English vocabulary learning system using collaborative filtering that allows learners to learn English vocabulary while expanding their interests. The online learning environment recommends English news articles using information obtained from other users with similar interests. The learner then studies these recommended articles as a method of learning English. The results of a two-month experiment that compared this system to an earlier collaborative filtering system called “GroupLens” reveal that learners who used the collaborative filtering system developed in this study read various news articles and had significantly higher scores on topic-specific vocabulary tests than did those who used the previous system.     

Team diversity as dissimilarity and variety in organizational innovation

How team composition exactly influences innovation outcomes remains a complex and unsolved puzzle in the literature on creativity and innovation. Our study differentiates two types of team technology-related diversity—technological dissimilarity and technological variety, and investigates their influences on the impact of an invention created by a team. Analyses of over half million U.S. utility patents in the 1991–2005 period invented by teams reveal that technological variety of team inventors has a positive effect on invention impact, and that technological dissimilarity between team inventors plays both positive and negative roles, eliciting an inverted U-shaped effect. In addition, we find that the positive effect of dissimilarity is significantly reduced after controlling for variety. Theoretical and practical implications of our findings are discussed.     

A dynamically deformable microfilter for selective separation of specific substances in microfluidics

To study an environmental or biological solution, it is essential to separate its constituents. In this study, a 3D-deformable dynamic microfilter was developed to selectively separate the target substance from a solution. This microfilter is a fine metallic nickel structure fabricated using photolithography and electroplating techniques. It is gold-coated across its entire surface with multiple slits of 10–20 μm in width. Its two-dimensional shape is deformed into a three-dimensional shape when used for fluid separation due to hydrodynamic forces. By adjusting the pressure applied to the microfilter, the size of the gap created by deformation can be changed. To effectively isolate the target substance, the relationship between the solution flow rate and the extent of microfilter deformation was investigated. The filtration experiments demonstrated the microfilter’s ability to isolate the target substance with elastic deformation without undergoing plastic deformation. Additionally, modification of the microfilter surface with nucleic acid aptamers resulted in the selective isolation of the target cell, which further demonstrates the potential application of microfilters in the isolation of specific components of heterogeneous solutions.     

Student transition from primary to lower secondary school in Cambodia: Narrative insights into complex systems

This article has three purposes. First, it presents findings from a study of student retention and dropout in Cambodia, as pupils transition from primary to lower secondary school. Second, it aims to understand from an in-depth, emic perspective the dynamics of this process and the challenges that individual families and their students face around this transition. Third, it offers policy-relevant suggestions for addressing obstacles to students continuing in school. It meets these goals by combining complexity theory with the use of narrative research methods in interviews with student-parent pairs in urban, rural, and remote communities in Cambodia.     

Development of Phonological Constancy: 19‐Month‐Olds,but Not 15‐Month‐Olds,Identify Words in a Non‐Native Regional Accent

By 12 months, children grasp that a phonetic change to a word can change its identity (phonological distinctiveness). However, they must also grasp that some phonetic changes do not (phonological constancy). To test development of phonological constancy, sixteen 15‐month‐olds and sixteen 19‐month‐olds completed an eye‐tracking task that tracked their gaze to named versus unnamed images for familiar words spoken in their native (Australian) and an unfamiliar non‐native (Jamaican) regional accent of English. Both groups looked longer at named than unnamed images for Australian pronunciations, but only 19‐month‐olds did so for Jamaican pronunciations, indicating that phonological constancy emerges by 19 months. Vocabulary size predicted 15‐month‐olds' identifications for the Jamaican pronunciations, suggesting vocabulary growth is a viable predictor for phonological constancy development.     

Are new technology-based firms located on science parks really more innovative?: Evidence from Taiwan

The establishment of science parks is employed as a vital strategy for developing high-tech industries in many countries. Whether new technology-based firms (NTBFs) located within science parks are, in comparison to their counterparts located outside of science parks, more efficient in terms of R&D investment remains less explored. The purpose of this paper is to compare the R&D productivity of NTBFs located within and outside of science parks by measuring the elasticity of R&D with respect to output. Using panel data for NTBFs located within and outside the Hsinchu Science Industrial Park (HSIP) in Taiwan, our empirical findings show that the elasticity of R&D with respect to outputs of NTBFs located within HSIP is significantly higher than that of other firms. These findings further reveal that NTBFs located in the science park invest more efficiently. Our results also indicate a slight advantage in R&D for firms in the science park, arising from the fact that the science park offers a clustering effect and establishes links among firms and research institutions.