This study analyzes the interaction during peer response as it occurs in an authentic writing class. Transcripts of 27 response groups are analyzed using the constant comparative method (Glaser & Strauss, 1967) to identify reader stances and determine the characteristics of these stances. We identified four categories of reader stances—authoritative, interpretive, probing, and collaborative. We then analyzed the language functions and topics discussed during the response sessions. This analysis reveals interesting differences across the four stances in five function categories (Summarize Essay, Express Intention, Give Suggestion, Give Opinion, and Give Information) and in three content categories (Writing Process, Ideas, and Audience and Purpose). We conclude that interactive peer response offers benefits to the students. However, in the probing and collaborative stances, the writer is encouraged to articulate the intended meaning of the text, thereby clarifying, expanding, and shaping meaning. These two stances therefore engage students in a fuller understanding of the writing process.

Cells from all domains of life express glycan structures attached to lipids and proteins on their surface, called glycoconjugates. Cell-tocell contact mediated by glycan:glycan interactions have been considered to be low-affinity interactions that precede highaffinity protein-glycan or protein-protein interactions. In several pathogenic bacteria, truncation of surface glycans, lipooligosaccharide (LOS), or lipopolysaccharide (LPS) have been reported to significantly reduce bacterial adherence to host cells. Here, we show that the saccharide component of LOS/LPS have direct, high-affinity interactions with host glycans. Glycan microarrays reveal that LOS/LPS of four distinct bacterial pathogens bind to numerous host glycan structures. Surface plasmon resonance was used to determine the affinity of these interactions and revealed 66 high-affinity host-glycan:bacterial-glycan pairs with equilibrium dissociation constants (K D ) ranging between 100 nM and 50 μM. These glycan:glycan affinity values are similar to those reported for lectins or antibodies with glycans. Cell assays demonstrated that glycan:glycan interaction-mediated bacterial adherence could be competitively inhibited by either host cell or bacterial glycans. This is the first report to our knowledge of high affinity glycan:glycan interactions between bacterial pathogens and the host. The discovery of large numbers of glycan:glycan interactions between a diverse range of structures suggests that these interactions may be important in all biological systems.H ost surface glycosylation is ubiquitous and is targeted by pathogenic bacteria, viruses, fungi and parasites for adherence and toxin binding and by glycosidases (1). Escherichia coli type 1 fimbriae, FimH, is one of the most widely studied glycanrecognizing protein adhesins, with specificity for monomannose to oligomannose structures with the variability of the mannose structure bound leading to different tissue tropism (2). Other glycan-recognizing adhesins expressed by bacteria include the following: Pseudomonas aeruginosa lectins 1 and 2 (PA-IL and PA-IIL) that have specificity for galactose and fucose, respectively (3); Helicobacter pylori SabA, specific for sialic acid containing glycoconjugates including sialyLewis X; and BabAspecific for fucosylated glycoconjugates including Lewis B (4, 5). Although there are numerous known glycan binding adhesins, the adhesins of some bacteria that interact with host surface glycans remain unknown.Direct interactions between surface glycans (glycan:glycan interactions) have been reported in sea sponges as heterogenous glycan interactions, and in mouse embryo development and cancer where homodimers of Lewis X (LeX) or ganglioside structures play a role in cell adhesion and growth factor receptor interactions (6, 7). Outside of these reports, glycan:glycan interactions, when noted, have generally been considered to be low-affinity, weak interactions (8) that precede high-affinity protein:glycan or protein:protein interactions (1, 2, 5, 9).Interestingly, there...

Mammals express the sialic acids N-acetylneuraminic acid (Neu5Ac) and N-glycolylneuraminic acid (Neu5Gc) on cell surfaces, where they act as receptors for pathogens, including influenza A virus (IAV). Neu5Gc is synthesized from Neu5Ac by the enzyme cytidine monophosphate-N-acetylneuraminic acid hydroxylase (CMAH). In humans, this enzyme is inactive and only Neu5Ac is produced. Ferrets are susceptible to human-adapted IAV strains and have been the dominant animal model for IAV studies. Here we show that ferrets, like humans, do not synthesize Neu5Gc. Genomic analysis reveals an ancient, nine-exon deletion in the ferret CMAH gene that is shared by the Pinnipedia and Musteloidia members of the Carnivora. Interactions between two human strains of IAV with the sialyllactose receptor (sialic acid—α2,6Gal) confirm that the type of terminal sialic acid contributes significantly to IAV receptor specificity. Our results indicate that exclusive expression of Neu5Ac contributes to the susceptibility of ferrets to human-adapted IAV strains.

BackgroundPast studies have shown that robot-based intervention was effective in improving gestural use in children with autism spectrum disorders (ASD). The present study examined whether children with ASD could catch up to the level of gestural production found in age-matched children with typical development and whether they showed an increase in verbal imitation after the completion of robot-based training. We also explored the cognitive and motor skills associated with gestural learning.MethodsChildren with ASD were randomly assigned to two groups. Four- to 6-year-old children with ASD in the intervention group (N = 15) received four 30-min robot-based gestural training sessions. In each session, a social robot, NAO, narrated five stories and gestured (e.g., both hands clapping for an awesome expression). Children with ASD were told to imitate the gestures during training. Age-matched children with ASD in the wait-list control group (N = 15) and age-matched children with typical development (N = 15) received the gestural training after the completion of research. Standardized pretests and posttests (both immediate and delayed) were administered to assess the accuracy and appropriateness of gestural production in both training and novel stories. Children’s language and communication abilities, gestural recognition skills, fine motor proficiencies, and attention skills were also examined.ResultsChildren with ASD in the intervention condition were more likely to produce accurate or appropriate intransitive gestures in training and novel stories than those in the wait-list control. The positive learning outcomes were maintained in the delayed posttests. The level of gestural production accuracy in children with ASD in the delayed posttest of novel stories was comparable to that in children with typical development, suggesting that children with ASD could catch up to the level of gestural production found in children with typical development. Children with ASD in the intervention condition were also more likely to produce verbal markers while gesturing than those in the wait-list control. Gestural recognition skills were found to significantly predict the learning of gestural production accuracy in the children with ASD, with such relation partially mediated via spontaneous imitation.ConclusionsRobot-based intervention may reduce the gestural delay in children with ASD in their early childhood.

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