Biological Motion Displays Elicit Social Behavior in 12-Month-Olds

To test the hypothesis that biological motion perception is developmentally integrated with important social cognitive abilities, 12-month-olds ( N  =   36) were shown a display of a human point-light figure turning to observe a target. Infants spontaneously and reliably followed the figure's "gaze" despite the absence of familiar and socially informative features such as a face or eyes. This suggests that biological motion displays are sufficient to convey rich psychological information such as attentional orientation and is the first evidence to show that biological motion perception and social cognitive abilities are functionally integrated early in the course of typical development. The question of whether common neural substrates for biological motion perception and analysis of gaze direction underlies the functional integration seen behaviorally is discussed.     

Two scalable algorithms for associative text classification

Associative classification methods have been recently applied to various categorization tasks due to its simplicity and high accuracy. To improve the coverage for test documents and to raise classification accuracy, some associative classifiers generate a huge number of association rules during the mining step. We present two algorithms to increase the computational efficiency of associative classification: one to store rules very efficiently, and the other to increase the speed of rule matching, using all of the generated rules. Empirical results using three large-scale text collections demonstrate that the proposed algorithms increase the feasibility of applying associative classification to large-scale problems.     

Unsupervised word sense disambiguation for Korean through the acyclic weighted digraph using corpus and dictionary

Word sense disambiguation (WSD) is meant to assign the most appropriate sense to a polysemous word according to its context. We present a method for automatic WSD using only two resources: a raw text corpus and a machine-readable dictionary (MRD). The system learns the similarity matrix between word pairs from the unlabeled corpus, and it uses the vector representations of sense definitions from MRD, which are derived based on the similarity matrix. In order to disambiguate all occurrences of polysemous words in a sentence, the system separately constructs the acyclic weighted digraph (AWD) for every occurrence of polysemous words in a sentence. The AWD is structured based on consideration of the senses of context words which occur with a target word in a sentence. After building the AWD per each polysemous word, we can search the optimal path of the AWD using the Viterbi algorithm. We assign the most appropriate sense to the target word in sentences with the sense on the optimal path in the AWD. By experiments, our system shows 76.4% accuracy for the semantically ambiguous Korean words.     

The Relationship of Science Knowledge,Attitude and Decision Making on Socio-scientific Issues: The Case Study of Students’ Debates on a Nuclear Power Plant in Korea

The purpose of this study was to investigate the relationship of students’ understanding of science knowledge, attitude and decision making on socio-scientific issues (SSI), especially on the issues of nuclear energy in Korea. SSI-focused instructions were developed to encourage students to understand and reflect on knowledge, attitude and decision making on nuclear energy in the current society. Eighty-nine students attended the instruction and participated in pre and post questionnaires to understand their understandings of nuclear energy. In this study, science knowledge was categorized into content and contextual knowledge, attitude consisted of images, safety, risk, potential, benefits and future roles, and decision making section included preference and alternative about lifetime extension of nuclear power plant. The results of questionnaires were analyzed by correlation, cross-tabulation and regression. As a result, while students’ understandings of science knowledge were significantly improved throughout the instruction, they maintained similar attitude and decision making on the issue. Regarding the relationship of the three domains, attitude showed some degree of connection to decision making whereas science knowledge did not show a significant relationship to decision making. This finding challenges SSI teaching in content-based science curriculum and classroom. Reflection and implications on the way of teaching SSI in the classroom were discussed further in this paper.     

Cascaded spiral microfluidic device for deterministic and high purity continuous separation of circulating tumor cells

Inertial microfluidics is an emerging class of technologies developed to separate circulating tumor cells (CTCs). However, defining design parameters and flow conditions for optimal operation remains nondeterministic due to incomplete understanding of the mechanics, which has led to challenges in designing efficient systems. Here, we perform a parametric study of the inertial focusing effects observed in low aspect ratio curvilinear microchannels and utilize the results to demonstrate the isolation of CTCs with high purity. First, we systematically vary parameters including the channel height, width, and radius of curvature over a wide range of flow velocities to analyze its effect on size dependent differential focusing and migration behaviors of binary (10 μm and 20 μm) particles. Second, we use these results to identify optimal flow regimes to achieve maximum separation in various channel configurations and establish design guidelines to readily provide information for developing spiral channels tailored to potentially arbitrary flow conditions that yield a desired equilibrium position for optimal size based CTC separation. Finally, we describe a fully integrated, sheath-less cascaded spiral microfluidic device to continuously isolate CTCs. Human breast cancer epithelial cells were successfully extracted from leukocytes, achieving 86.76% recovery, 97.91% depletion rate, and sustaining high viability upon collection to demonstrate the versatility of the device. Importantly, this device was designed without the cumbersome trail-and-error optimization process that has hindered the development of designing such inertial microfluidic systems.     

Relationships between cognitive diagnosis, CTT, and IRT indices: an empirical investigation

Cognitive diagnosis models (CDMs) continue to generate interest among researchers and practitioners because they can provide diagnostic information relevant to classroom instruction and student learning. However, its modeling component has outpaced its complementary component??test construction. Thus, most applications of cognitive diagnosis modeling involve retrofitting of CDMs to assessments constructed using classical test theory (CTT) or item response theory (IRT). This study explores the relationship between item statistics used in the CTT, IRT, and CDM frameworks using such an assessment, specifically a large-scale mathematics assessment. Furthermore, by highlighting differences between tests with varying levels of diagnosticity using a measure of item discrimination from a CDM approach, this study empirically uncovers some important CTT and IRT item characteristics. These results can be used to formulate practical guidelines in using IRT- or CTT-constructed assessments for cognitive diagnosis purposes.     

Beyond the learning process and toward the knowledge creation process: Linking learning and knowledge in the supportive learning culture

This integrative literature review synthesizes the concepts and process of organizational knowledge creation with theories of individual learning. The knowledge conversion concept (Nonaka & Takeuchi, 1995; Nonaka, Toyama, & Byosière, 2001) is used as the basis of the organizational knowledge creation process, while major learning theories relevant to working adult learners are newly synthesized into four types of individual learning processes: adaptive, generative, transformative, and reflective. The results suggest an integrative conceptual flow map of individual and organizational learning facilitated by culture and management system enablers. Implications for using this conceptual framework for practicing performance technology solutions are also discussed.     

Haunted Trauma Narratives of Inclusion,Race, and Disability in a School Community

By typical definitions in the special education world, inclusion would not be recognizable as it exists at Memorial Elementary. Memorial is responding to a widely documented trend in public schools: over-representation of students of color, particularly Black and Brown students, in high-incidence special education categories, including emotional and behavioral disabilities (EBD). I conceptualize EBD as unacknowledged suppression of hauntings from transgenerational trauma—legacies of institutional racism, poverty, and attempts at dehumanization. My primary hypothesis is that Memorial’s practice and ethic of unconditional belonging has been a transformation afforded by being haunted. I argue that haunted trauma narratives affirm and reconstruct the personhood of students of color with ghosts of trauma. Through narrativizing, students of color and educators rebuild inclusion from difference-as-allowed toward Martin Luther King Jr.’s (2001) “beloved community” (p. 458). That is, Memorial has redesigned school structures, educators’ beliefs and practices, interactions with children and their families, and other aspects of everyday systems to be organized around the intersections of race, trauma, identity, and community. Though dreaming is undeniably difficult, Memorial also illustrates the transformative power of affective forces from ghosts that demand hope, justice, and healing.