THE USE OF A WHOLE GENOME SCAN TO FIND A GENETIC MARKER FOR DEGENERATIVE SUSPENSORY LIGAMENT DESMITIS IN THE PERUVIAN PASO HORSE

Degenerative suspensory ligament desmitis (DSLD) is a debilitating disease of connective tissues seen in many breeds but has become prevalent in the Peruvian Pasohorse. DSLD is believed to be a genetic disorder caused by one primary founder and most likely has a recessive mode of inheritance although a dominant or co-dominant mode of inheritance has not been ruled out. A genome scan using 259 microsatellite markers was used to test for linkage disequilibrium between one or more markers and DSLD. Two groups of Peruvian Pasohorses were selected from one population including the US and Canada. The only difference between the two groups of horses besides the size of the two groups was the presence of DSLD in the affected group and the absence of DSLD in the unaffected group. It was assumed that differences seen between the two groups in homozygosity and or common allele frequency could be an indication of linkage to DSLD. As a connective tissue disorder, there were a large number of candidate genes forDSLD to consider, yet no identical human or animal model exists. The genome scan identified five chromosomal regions where statistically significant differences were seen between affected and unaffected sample populations that could be indications of linkage to DSLD. Those chromosomes were: ECA 6, 7, 11, 14, and 26. Sequencing of a portion of the G domain in the Chondroitin Sulfate Proteoglycan2 (CSPG2) gene has mostly ruled out that segment of chromosome 14 as having linkage to DSLD. Further research needs to be conducted in the regions of ECA 6,7,11 and 26 where statistically significant differences were seen between the affected and unaffected groups, especially on ECA 6 and 11 since possible candidate genes are located in those regions based on the human comparative map

User Experience-driven Innovation in Smart and Connected Worlds

In our fast-paced digital economy, expectations for improved user experiences (UX) increasingly drive innovation. Thus, companies must fully grasp users’ points of view when they design innovative technologies that can successfully compete in a crowded global market. These technologies must not only satisfy users’ expectations but also empower them and improve their quality of life. To address this challenge in our rapidly evolving and globally expanding digital economy, we need new theories and models for technology design—ones that incorporate UX. In this paper, we address this need by developing conceptual models for UX-driven innovation. We explain how these models can enable innovative, responsive technologies that meet users’ needs in real time. These models also facilitate the production of new theories that are discovered via accessing the rich, real-time data sets that our increasingly smart and connected worlds create

Experience as a Moderating Variable in a Task-Technology Fit Model

We test the addition of experience with maintenance tools and with the maintenance task to our previously tested task-technology fit model for software maintenance tool use. Tool experience is significant as both a main and moderating effect, but task experience adds little to the explanatory power of the model

User Experience-driven Innovation—Theory and Practice: Introduction to Special Issue

This special issue is motivated by the need for user experience (UX) innovation ecosystems and the difficulty of creating and maintaining them. The papers in this special issue reflect the emerging views of the scholars and industry experts involved in one such UX innovation ecosystem. Authors presented the papers at the 2019 UX Symposium (https://uxsym.org/), an annual conference with the mission to continue to build its vibrant community of scholars and practitioners dedicated to advancing UX theory, education, and practice

The effect of positive mood on intention to use computerized decision aids

While psychology research indicates that positive mood enhances cognition and behavior, MIS researchers have largely ignored the potential effects of positive mood on user acceptance of new information technologies (IT). Using two cognitive theories about mood and memory, positive mood theory and the affect infusion model (AIM), this study develops hypotheses about users’ acceptance of new IT under two mood conditions and two levels of uncertainty. These hypotheses are investigated via a lab experiment using a computerized decision aid. The lab experiment found that positive mood increased acceptance, as compared to a control group, under both levels of uncertainty. These results held for both induced and naturally occurring positive mood. The results for the high uncertainty condition along with results of two post-hoc tests are consistent with positive mood theory, but not with the AIM. These results indicate that mood is an important focus for future MIS acceptance research, which should be based on positive mood theory rather than the AIM

Examining Power Relationships in the Use of Information Systems to Comply with Laws and Enable Social Inclusion

This study employs the circuits of power framework to analyze how power relationships affect the use of Information Systems (IS) in the social inclusion context. This research majorly contributes to social inclusion research in IS by examining how the power relationships influence the use of IS and how IS design can address complex power relationships and enable social inclusion