The Colorado Community College System is a public community college system in the U.S. state of Colorado. Created by legislation in 1967, it has 13 member institutions and serves more than 163,000 students annually..
Historically minoritized and marginalized students have had harmful discriminatory experiences within and outside of their classrooms, which has been shown to negatively impact their educational outcomes. Research has illustrated how the transformation of pedagogical decisions and classroom interactions that cultivate inclusive excellence have yielded a positive climate and promoted more equitable education outcomes. The impact of creating more inclusive classrooms is abundant in the literature, however, guidance on creating inclusive environments in more technical disciplines, such as engineering, seem to lack specificity for the needs of the curriculum. The IUSE-PIPE [Improving Undergraduate Science, Technology, Engineering, and Mathematics (STEM) Education-Proven Inclusivity Practices for Engineering] Project was a National Science Foundation (NSF)-funded study focused on providing engineering faculty with inclusive classroom practices to improve inclusivity and belonging in their classes. The specific aim of this paper is to report on the development of the inclusive engineering practices menu and to share the classroom experience results from the student perspective. The majority of students indicated their instructors' utilized strategies from the menu and reported positively on their interactions and experiences with their instructors. When comparing students racially, White and non-White students report have dissimilar experiences with trusting their peers, discussing gaps in knowledge, speaking openly, and feeling judged during classroom participation, which are confirmed through statistical analyses (p-values less than 0.05). Across gender identity, male-identifying students reported less positive experiences when asked about trusting their peers, discussing gaps in their knowledge, and speaking openly in class as compared to their female and nonbinary/gender-fluid-identifying peers, which were confirmed through statistical analyses (p-values less than 0.05). The inclusive engineering practices menu presented in this paper is the beginning of an instructor toolkit for engineering disciplines to encourage instructors to make inclusivity integral to their class design and teaching at the collegiate level.
Animation unlocks exciting creative opportunities to express one’s ideas and stories. However, creating animations with existing software or tangible interfaces is difficult and time-consuming. In this paper, we present Cartoonimator, a paper-based tangible kit for keyframe animation that enables novice animators to quickly create animations from illustrations on paper. The kit—comprising paper templates to draw scenes and characters on, and a mobile web app to capture keyframes and compile the animation—offers an engaging tangible interface for both children and adults to create versatile animations. We conducted system evaluations with adults and workshops with children to study their interaction with the tool and the kind of animations it enabled. Our findings reveal that Cartoonimator is an intuitive and expressive tool that lowers the barrier to animation and helps users learn about animation concepts.
Objectives/Goals: Understanding cognitive habits and values of individuals or groups, and providing tools to apply them to collaborative, interdisciplinary endeavors to better communicate between different industries, functions, and cultures. Methods/Study Population: Using literary research to establish groupings of common core values in interpersonal communications, applying established 5 patterns of “thought languages” to scale to group communications. Accepted psychological personality inventories for individuals will overlay into cognitive values, primarily using the current big five OCEAN model. Demonstrating these values to find common goals among interdisciplinary collaborations can identify prospective members, cultural differences in industry, patient communication, and public messaging in STEM. Integrating these tools into research groups to establish more efficacious communication between teams, governing bodies, and patient communication can be sampled via pre and post research surveys of feeling understood. Results/Anticipated Results: The results of feeling understood by various parties in collaborative research would be a measure of not just effective expressed communication, but received communication. Feeling understood is a current metric of communication that is correlated with satisfaction, trust, and interdependence. All of these results are integral to the successful operations of collaborative projects. Demonstrating a positive correlation between applying the 5 thought languages and better-surveyed outcomes of understanding will guide the effectiveness of this as a future collaborative tool for translational sciences. Discussion/Significance of Impact: The significance of effective communication based on positive reception will foster future collaborations. Encouraging familiarity between differing individuals, groups, and industries, even between subjects and researchers, patients and healthcare. More satisfaction, more trust, and more interdependence will propagate between these groups.
Traditional block-matching methods for detecting Motion Vectors (MVs) need to calculate fitness factors for each MV detection. However, with the increasing demand for ultra-definition resolutions with higher frame rates per second, such calculations require a super processor. Artificial intelligence needs a strong processing once and, in the training, and iterations step. This article introduced a novel approach to MV detection that integrates block-matching methods with image classification via CNN. The dataset was prepared considering the limitations posed by the problem. A 17-class configuration of MVs with a 3-pixel overlap was chosen, combining pixel blocks from both frames into a single 36 × 36 pixel image for each sample. Then a CNN classification architecture was proposed, and training was performed to facilitate the recognition of motion vectors. The proposed architecture is designed to prevent overfitting. The proposed light network underwent comprehensive testing process to assess its ability to accurately identify MV PSNRs over 30 dB, obtained by comparing mainframes and reconstructed frames for four video streams captured from a satellite view, with the best being 34.86 dB, indicated that the MVs derived from this method yielded satisfactory outcomes. Additionally, the proposed architecture demonstrates more satisfactory PSNR than other methods under the same conditions. Experimental results show that can withstand up to 10
One of the current issues in rice-growing regions is heavy metals contaminated rice paddy. The environment and the health of people, animals, plants, and crops are negatively impacted by high levels of cadmium (Cd) and lead (Pb). The present study isolated and identified potential microbial remediators from the rice growing area contaminated with heavy metals at Sitio Namangonan, Guiset Norte, San Manuel, Pangasinan, Luzon Island, Philippines. The bacterial isolates were molecularly identified using 16S ribosomal RNA gene sequencing, the Basic Local Alignment Search Tool (BLAST), and performed evolutionary analyses using MEGA 11. The soil sample contained 0.42 mg/kg cadmium and 57.80 mg/kg lead. Five species of bacteria (BI-1, BI-2, BI-3, BI-4, and BI-5) namely: Priestia flexa BI-1, Priestia megaterium BI-2, Stenotrophomonas maltophilia BI-3; P. megaterium BI-4; and P. megaterium BI-5 with 98.94%, 98.47%, 92.53%, 84.21%, and 99.67% similarity, respectively, were isolated from the soil contaminated with cadmium and lead. Furthermore, P. megaterium BI-2, Stenotrophomonas maltophilia BI-3, Priestia megaterium BI-4, and P. megaterium BI-5 are tolerant to up to 1000 mg/kg cadmium concentration while P. flexa BI-1 is identified as non-tolerant to cadmium contamination. Additionally, Priestia megaterium BI-2, S. maltophilia BI-3, P. megaterium BI-4, and P. megaterium BI-5 are resistant to lead concentrations of up to 1000 mg/kg. Therefore, in cadmium and lead-contaminated rice paddy soil, the bacterial isolates are resistant to heavy metals. Finally, these bacterial isolates could clean up lead and cadmium-contaminated rice paddy soil.
