Flash Lab: A High-Speed Imaging Laboratory

To help students become better acquainted with high-speed instrumentation and measurement techniques, a high-speed imaging laboratory for the College of Engineering is equipped with a high-speed camera and schlieren imaging device. The laboratory will be used for labs in classes, such as Instrumentation, Thermal/Fluids Lab, Experimental Solids, and Mechanical Experiments. In addition, graduate students will use it for research purposes. The laboratory also has the potential to have a course associated with it that would include the image processing techniques for a variety of applications (e.g., a course on high-speed imaging). The scope of this project will be to create a training/orientation course for the laboratory and equipment, develop experiments and course work for the Thermal/Fluids Lab course, and to help design a storage area into a workable lab space. The goal of the experiments is to expand the exposure of thermal/fluids phenomena as well as introduce modern measurement techniques. The experiments designed will be built off previous successful experiments. All results of the experiments should match the literature cited. With this new lab it will be used as a recruiting tool as well as a resource for funding from donors and bringing in more research opportunities to Utah State University. The laboratory will be setup in such a way that its use can be expanded to meet the needs of the department, faculty, and students

Assessment of burnout in veterinary medical students using the Maslach Burnout Inventory-Educational Survey: a survey during two semesters

BACKGROUND: Burnout among veterinary students can result from known stressors in the absence of a support system. The objectives of this study were to evaluate use of the Maslach Burnout Inventory-Educator Survey (MBI-ES) to assess burnout in veterinary students and evaluate the factors that predict the MBI-ES scores. METHODS: The MBI-ES was administered to first (Class of 2016) and second year (Class of 2015) veterinary medical students during the 2012-2013 academic year in the fall and spring semesters. Factor analysis and test reliability for the survey were determined. Mean scores for the subscales determining burnout namely emotional exhaustion (EE), depersonalization (DP) and lack of personal accomplishment (PA) were calculated for both classes in the 2 semesters. Multiple regression analysis was performed to evaluate other factors that predict the MBI-ES scores. RESULTS: A non-probability sampling method was implemented consisting of a voluntary sample of 170 and 123 students in the fall and spring semesters, respectively. Scores for EE, DP and PA were not different between the 2 classes within the same semester. Mean ± SD scores for EE, DP and PA for the fall semester were 22.9 ± 9.6, 5.0 ± 4.8 and 32.3 ± 6.7, respectively. Mean ± SD scores for EE, DP and PA the spring semester were 27.8 ± 10.7, 6.5 ± 6.1and 31.7 ± 6.8, respectively. The EE score was higher in spring compared to fall while DP and PA scores were not different between the 2 semesters. Living arrangements specifically as to whether or not a student lived with another veterinary medical students was the only variable significantly associated with the MBI-ES scores. Students in this study had moderate levels of burnout based on the MBI-ES scores. CONCLUSIONS: The MBI-ES was an acceptable instrument for assessing burnout in veterinary medical students. The EE scores were higher in the spring semester as compared to the fall semester. Thus students in the first and second years of veterinary school under the current curriculum experience the greatest levels of emotional exhaustion during the spring semester. This has administrative implications for the school, when considering the allocation and use of resources for student support systems during each semester

Environmental analysis in human evolution and adaptation research

Human evolution and ecology analyses argue that environment is a major factor influencing biological and sociocultural adaptation, but they rarely analyze environmental properties. Multiple problems of perspective and method can arise from the normative and nondynamic environmental descriptions which pervade these analyses. This paper examines human adaptation frameworks to identify theoretical guidelines for environmental description in ways appropriate to available theories of biocultural evolution or congruent with known ecosystem qualities. Concepts and terminology are given for describing the spatial and temporal properties characteristic of ecosystems and central to hypotheses about ecological adaptation. These include: patchiness and grain; stability and resilience; persistence and recurrence; and predictability, constancy, and contingency. Field experience, theory, and the qualities of ecosystems themselves suggest that detailed, historical (long-term) environmental analysis is necessary to determine the role of ecological factors in human evolution and adapation. © 1980 Plenum Publishing Corporation

Comprehensive RNA-Seq Expression Analysis of Sensory Ganglia with a Focus on Ion Channels and GPCRs in Trigeminal Ganglia

The specific functions of sensory systems depend on the tissue-specific expression of genes that code for molecular sensor proteins that are necessary for stimulus detection and membrane signaling. Using the Next Generation Sequencing technique (RNA-Seq), we analyzed the complete transcriptome of the trigeminal ganglia (TG) and dorsal root ganglia (DRG) of adult mice. Focusing on genes with an expression level higher than 1 FPKM (fragments per kilobase of transcript per million mapped reads), we detected the expression of 12984 genes in the TG and 13195 in the DRG. To analyze the specific gene expression patterns of the peripheral neuronal tissues, we compared their gene expression profiles with that of the liver, brain, olfactory epithelium, and skeletal muscle. The transcriptome data of the TG and DRG were scanned for virtually all known G-protein-coupled receptors (GPCRs) as well as for ion channels. The expression profile was ranked with regard to the level and specificity for the TG. In total, we detected 106 non-olfactory GPCRs and 33 ion channels that had not been previously described as expressed in the TG. To validate the RNA-Seq data, in situ hybridization experiments were performed for several of the newly detected transcripts. To identify differences in expression profiles between the sensory ganglia, the RNA-Seq data of the TG and DRG were compared. Among the differentially expressed genes (> 1 FPKM), 65 and 117 were expressed at least 10-fold higher in the TG and DRG, respectively. Our transcriptome analysis allows a comprehensive overview of all ion channels and G protein-coupled receptors that are expressed in trigeminal ganglia and provides additional approaches for the investigation of trigeminal sensing as well as for the physiological and pathophysiological mechanisms of pain