Titanium-nitrogen reaction investigated for application to gettering systems

Titanium is one of several gettering materials available for removing nitrogen from inert gases. The reaction rate of titanium-metal sponge and nitrogen in argon-nitrogen mixtures was studied at 900 degrees C. The rate was found to depend upon the partial pressure of nitrogen in the gas phase. Mathematical relationships simulate titanium systems

Hyperprofile-based Computation Offloading for Mobile Edge Networks

In recent studies, researchers have developed various computation offloading frameworks for bringing cloud services closer to the user via edge networks. Specifically, an edge device needs to offload computationally intensive tasks because of energy and processing constraints. These constraints present the challenge of identifying which edge nodes should receive tasks to reduce overall resource consumption. We propose a unique solution to this problem which incorporates elements from Knowledge-Defined Networking (KDN) to make intelligent predictions about offloading costs based on historical data. Each server instance can be represented in a multidimensional feature space where each dimension corresponds to a predicted metric. We compute features for a "hyperprofile" and position nodes based on the predicted costs of offloading a particular task. We then perform a k-Nearest Neighbor (kNN) query within the hyperprofile to select nodes for offloading computation. This paper formalizes our hyperprofile-based solution and explores the viability of using machine learning (ML) techniques to predict metrics useful for computation offloading. We also investigate the effects of using different distance metrics for the queries. Our results show various network metrics can be modeled accurately with regression, and there are circumstances where kNN queries using Euclidean distance as opposed to rectilinear distance is more favorable.Comment: 5 pages, NSF REU Site publicatio

The Extent of Implicit Bias in Gifted Students: Utilization of the IAT to Inform Diversity Education

The National Association for Gifted Children position statement on “Identifying and Serving Culturally and Linguistically Diverse (CLD) Gifted Students” suggests that educators need to change their view of CLD students from a “deficit to a strength perspective”. In addition, it states that “schools should create support programs to help gifted students from diverse backgrounds develop strong academic identities, learn coping strategies for dealing with negative peer pressure and discriminatory practices, and gain resiliency for responding to challenging life circumstances”. One approach to support and retain CLD students that can be utilized by both educators and gifted students is understanding one’s own implicit bias. “Implicit bias refers to the attitudes or stereotypes that affect our understanding, actions, and decisions in an unconscious manner…it is the mental process that causes us to have negative feelings and attitudes about people based on characteristics like race, ethnicity, age and appearance” (Rudd, 2014). These biases are typically involuntary and unconscious; most individuals are unaware that they even exist (Blair, 2002; Rudman, 2004; Rudd, 2014; Pearson, Dovidio & Gaertner, 2009). Research suggests that these thoughts and attitudes are formed early in life based on experiences with parents, teachers, peers, school, and church, and then reinforced with messages from the media (Adams, Bell, & Griffin, 1997)

Pedestrian and Environmentally Focused Infrastructure: Transitioning Cities\u27 Focus to What Truly Matters

https://digitalcommons.wpi.edu/gps-posters/1591/thumbnail.jp

Assessing the Architecture of Drosophila mojavensis Locomotor Evolution with Bulk Segregant Analysis

Behavior is frequently predicted to be especially important for evolution in novel environments. If these predictions are accurate, there might be particular patterns of genetic architecture associated with recently diverged behaviors. Specifically, it has been predicted that behaviors linked to population divergence should be underpinned by a few genes of relatively large effect, compared to architectures of intrapopulation behavioral variation, which is considered to be highly polygenic. More mapping studies of behavioral variation between recently diverged populations are needed to continue assessing the generality of these predictions. Here, we used a bulk segregant mapping approach to dissect the genetic architecture of a locomotor trait that has evolved between two populations of the cactophilic fly Drosophila mojavensis We created an F8 mapping population of 1,500 individuals from advanced intercross lines and sequenced the 10% of individuals with the highest and lowest levels of locomotor activity. Using three alternative statistical approaches, we found strong evidence for two relatively large-effect QTL that is localized in a region homologous to a region of densely packed behavior loci in Drosophila melanogaster, suggesting that clustering of behavior genes may display relatively deep evolutionary conservation. Broadly, our data are most consistent with a polygenic architecture, though with several loci explaining a high proportion of variation in comparison to similar behavioral traits. We further note the presence of several antagonistic QTL linked to locomotion and discuss these results in light of theories regarding behavioral evolution and the effect size and direction of QTL for diverging traits in general.NSF [IOS-1557697]Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Speechreading Development in Deaf and Hearing Children: Introducing the Test of Child Speechreading

Purpose: In this article, the authors describe the development of a new instrument, the Test of Child Speechreading (ToCS), which was specifically designed for use with deaf and hearing children. Speechreading is a skill that is required for deaf children to access the language of the hearing community. ToCS is a deaf-friendly, computer-based test that measures child speechreading (silent lipreading) at 3 psycholinguistic levels: (a) Words, (b) Sentences, and (c) Short Stories. The aims of the study were to standardize the ToCS with deaf and hearing children and to investigate the effects of hearing status, age, and linguistic complexity on speechreading ability. / Method: Eighty-six severely and profoundly deaf children and 91 hearing children participated. All children were between the ages of 5 and 14 years. The deaf children were from a range of language and communication backgrounds, and their preferred mode of communication varied. / Results: Speechreading skills significantly improved with age for both groups of children. There was no effect of hearing status on speechreading ability, and children from both groups showed similar performance across all subtests of the ToCS. / Conclusion: The ToCS is a valid and reliable assessment of speechreading ability in school-age children that can be used to measure individual differences in performance in speechreading ability

Energizing Liberal Education

The article examines how liberal arts colleges in the U.S. offer opportunities for developing and expanding the use of renewable energy and for promoting educational initiatives associated with community projects. Swarthmore College bought Renewable Energy Credits (RECs) from Direct Energy Renewable Choice. A team from Middlebury College designed a solar-powered farmhouse

p-21 Activated Kinase as a Molecular Target for Chemoprevention in Diabetes

Hypothesis: Anti-diabetic drugs modulate p-21 activated kinase (PAK) signaling. Introduction: Type 2 diabetes mellitus (T2DM) is a chronic inflammatory disease associated with increased cancer risk. PAK signaling is implicated in cellular homeostasis when regulated, and cancer when unrestrained. Recent reports provided a role for PAK signaling in glucose homeostasis, but the role of PAKs in the pathogenesis of T2DM is unknown. Here, we performed a mini-meta-analysis to explore if anti-diabetic drugs modify PAK signaling pathways, and provide insight regarding modulation of these pathways, to potentially reduce diabetes-associated cancer risk. Methods: PAK interacting partners in T2DM were identified using the online STRING database. Correlation studies were performed via systematic literature review to understand the effect of anti-diabetic drugs on PAK signaling. A mini-meta-analysis correlated multiple clinical studies and revealed the overall clinical response rate and percentage of adverse events in piogliazone (n = 53) and metformin (n = 91) treated patients with PAK-associated diseases. Results: A total of 30 PAK interacting partners were identified (10: reduced beta-cell mass; 10: beta-cell dysfunction; 10: obesity-insulin resistance), which were highly associated with Wnt, and G-protein signaling. The anti-diabetic drug metformin activated signaling pathways upstream; whereas pioglitazone inhibited pathways downstream of PAK. Overall, clinical response upon pioglitazone treatment was 53%. Seventy-nine percent of pioglitazone and 75% of metformin treated patients had adverse events. Pioglitazone reduced molecular-PAK biomarkers of proliferation (Ki67 and CyclinD1), and metformin had the opposite effect. Conclusions: PAK signaling in T2DM likely involves Wnt and G-protein signaling, which may be altered by the anti-diabetic drugs metformin and pioglitazone. Apart from the therapeutic limitations of adverse events, pioglitazone may be promising in chemoprevention. However long-term multi-centered studies, which initiate pioglitazone treatment early will be required to fully assess the full potential of these drugs