GENUS applications for Alzheimer\u27s Disease Pathology

Estimates vary, but it is thought that 5.5 million Americans age 60 and up may be living with Alzheimer’s diseases (AD). AD is the most common type of dementia and is characterized by a decline in episodic memories, long-term memory, language, attention, and personality changes. The first symptoms can vary, but for most people memory is the first capacity to become impaired. However, symptoms can also be a decline in non-memory aspects of cognition like work-finding, vision/spatial issues, and impaired reasoning or judgement. AD is identified mainly by two histopathological features: extracellular plague of amyloid-beta protein and intracellular neuronal tangles formed by abnormally phosphorylated tau protein. The damage begins to take place in the hippocampus and entorhinal cortex, which are both parts of the brain essential for memory processing. As neurons die, brain tissue is affected and begins to shrink. Patient with AD show changes in brain waves which are composed of electrical impulses from masses of neurons that communicate with each other. There are also findings of microglia gathering around the amyloid-beta plaque deposits in patients with AD as well. Microglia are thought to have many roles in the brain but cleaning up debris is the most important. These findings have led researchers into exploring more options by altering brain waves and triggering cellular responses in the brain. Recent research using AD mouse models suggest that non-invasive brain stimulation could offer potential future interventions for people suffering from neurodegenerative diseases.https://ir.library.louisville.edu/uars/1061/thumbnail.jp

What Writing Processes do Teacher Candidates Use? Findings from a Think-Aloud Protocol

The objective of this study was to examine changes in teacher candidates’ writing processes and writing quality while enrolled in a writing-enriched course that was part of a college of education’s teacher education program. Participants in the study were enrolled in an introductory middle grades course that focused on pedagogical methods in general. A modified think-aloud method was used to collect data on ten teacher candidates’ writing processes as they responded to a writing prompt, once at the beginning of the semester and then again at the end. Data examined were the final product of writing, writing processes used in real-time, and teacher candidates’ reflections on writing strategies after writing was complete. Taken together, the data showed that teacher candidates’ ability to write for a particular purpose and audience and their use evidence to back up written claims improved throughout the semester. We conclude that looking at multiple points of data – the final product of writing, writing processes, and explicitly described strategies to approach writing – to examine how teacher candidates develop as writers is a fruitful endeavour and that the writing-enriched course enhanced teacher candidates’ writing abilities

Comparison of Aero Engine Component Lifing Methods

Failure of critical engine components such as compressor, fan, and turbine disks during flight can cause the loss of the engine, aircraft, or even life. To reduce the risk of this failure during flight, different methodologies and tools have been developed to determine the safe operating life of these critical disk components. The two most widely used lifing methods, safe-life and damage tolerance, are inherently conservative, retiring all components when a predetermined operating limit is reached. Both methods retire components with theoretical useful life remaining. Additional lifing methods can be used to reduce this conservatism and extend the life of these components. Retirement for cause, developed within the United States Air Force is a lifing method that can extend the life of components by retiring a component only when there is cause to do so. Military and industry standards on lifing methodologies were reviewed. Both deterministic and probabilistic approaches to disk lifing methods are discussed as well as current tools. This paper provides a comparison of the methodologies and tools currently being used today by both the government and industry

Application of Probabilistic Methods to Turbine Engine Disk Life Prediction and Risk Assessment

Turbine engine disk life prediction and understanding the associated risk remains a significant challenge for today’s designer. Despite advances made in materials testing and characterization, as well as, the application of damage tolerance and linear elastic fracture mechanics modeling, there remains a void in properly assessing loading, geometry, and material design property variability. Add to this the application of advanced hybrid and composite material systems and the need to accurately deal with material variability is even greater. There still remain incidents of failure of critical components which were not properly accounted for by the existing analytical methods, testing, and inspections employed today. Application of probabilistic methods offers an effective and useful approach to modeling this variability while also providing a means by which to assess random variable sensitivity and risk assessment. Current research, as well as, applicable industry and government regulatory guidelines and publications were examined and will be presented. An assessment of the most effective tools, modeling methods, and predictive risk of failure assessments together with recommendations for future work will be discussed. The potential for probabilistic methods to provide a cost-effective way to manage fleet engine and component usage is presented, as well as, its ability to enhance the safe implementation of Retirement for Cause concepts to fleet management

S17RS SGR No. 9 (Interfaith Prayer and Meditation Room)

to urge and request the implementation of an Interfaith Prayer & Meditation Room in the LSU Student Unio

An improved method for the purification of carbonic anhydrase isozymes by affinity chromatography

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/22119/1/0000546.pd

William Leonard Culp Collection - Accession 1737

This collection is a series of transcriptions of interviews conducted of Bill Culp by one Lee Miller and students Whitney Carter and Leslee Elliot, dating from 8 Sept. 2003, through to the end of that Fall semester. The interviews themselves are primarily focused upon discussing the history of Winthrop, and in particular, the buildings at Winthrop, along with many of Mr. Culp’s own anecdotes. The interviews were conducted to “capture the history of Winthrop according to the 50+ years of Mr. Culp’s involvement with Winthrop.” These interviews offer a great glimpse of Winthrop’s history spanning from Winthrop Founder and first president, Dr. David Bancroft Johnson’s tenure through Winthrop’s ninth, Dr. Anthony Joseph DiGiorgios tenure. Those working on the project included the donor of the collection, Lee Miller, additionally, Dr. Kathy Lyons as faculty supervisor in the honors program. Drs. Andy Doyle and Rory Cornish were the faculty working with their two students, Whitney Carter and Leslee Elliot. DeAnna Brooks with the Office of the President and Dr. Tom Moore, Academic VP at the time, also helped with the project. The information gathered by the interviews was used by the students to write an honors thesis and a major paper for independent coursework. The collection also includes correspondence between Miller and others integral to the project, primarily related to setting up the project. The original donation included copies and print-outs relating to Bill Culp, all of which can be found in the file that the Louise Pettus Archives has on Mr. Culp. The signed oral history project release forms can also be found in this collection.https://digitalcommons.winthrop.edu/manuscriptcollection_findingaids/2773/thumbnail.jp

Flash-lag chimeras: the role of perceived alignment in the composite face effect

Spatial alignment of different face halves results in a configuration that mars the recognition of the identity of either face half (). What would happen to the recognition performance for face halves that were aligned on the retina but were perceived as misaligned, or were misaligned on the retina but were perceived as aligned? We used the 'flash-lag' effect () to address these questions. We created chimeras consisting of a stationary top half-face initially aligned with a moving bottom half-face. Flash-lag chimeras were better recognized than their stationary counterparts. However when flashed face halves were presented physically ahead of moving halves thereby nulling the flash-lag effect, recognition was impaired. This counters the notion that relative movement between the two face halves per se is sufficient to explain better recognition of flash-lag chimeras. Thus, the perceived spatial alignment of face halves (despite retinal misalignment) impairs recognition, while perceived misalignment (despite retinal alignment) does not

Massive stars in the giant molecular cloud G23.3−0.3 and W41

Context. Young massive stars and stellar clusters continuously form in the Galactic disk, generating new Hii regions within their natal giant molecular clouds and subsequently enriching the interstellar medium via their winds and supernovae.Aims. Massive stars are among the brightest infrared stars in such regions; their identification permits the characterisation of the star formation history of the associated cloud as well as constraining the location of stellar aggregates and hence their occurrence as a function of global environment.Methods. We present a stellar spectroscopic survey in the direction of the giant molecular cloud G23.3−0.3. This complex is located at a distance of ~4–5 kpc, and consists of several Hii regions and supernova remnants.Results. We discovered 11 OfK+ stars, one candidate luminous blue variable, several OB stars, and candidate red supergiants. Stars with K-band extinction from ~1.3–1.9 mag appear to be associated with the GMC G23.3−0.3; O and B-types satisfying this criterion have spectrophotometric distances consistent with that of the giant molecular cloud. Combining near-IR spectroscopic and photometric data allowed us to characterize the multiple sites of star formation within it. The O-type stars have masses from ~25–45 M⊙, and ages of 5–8 Myr. Two new red supergiants were detected with interstellar extinction typical of the cloud; along with the two RSGs within the cluster GLIMPSE9, they trace an older burst with an age of 20–30 Myr. Massive stars were also detected in the core of three supernova remnants – W41, G22.7−0.2, and G22.7583−0.4917.Conclusions. A large population of massive stars appears associated with the GMC G23.3−0.3, with the properties inferred for them indicative of an extended history of stars formation