A survey of pupil interest in certain illustrations of a history textbook

Thesis (M.A.)--Boston University, 1947. This item was digitized by the Internet Archive

Bulletin No. 224 - Muck Soil Investigations: Progress Report, Sanpete County Experimental Farm 1927-30, Inclusive

The estimated area of muck or peat soil in Utah is approximately 21,000 acres. The muck occurs in many valleys of Utah. The largest areas are in the Sanpete and Utah Lake Valleys. The area in the former is estimated at 6500 acres and the Utah Valley area at 9000 acres; the other areas, all more or less significant in size, are scattered throughout the state. Investigations reported have been confined entirely to the Sanpete area which is located near the south and bottom end of the valley and is west of the towns of Chester, Ephraim, and Manti. During part of the year the lands involved are subject to overflow by the San Pitch River. Water covers most of the area early in the winter and during the spring months high water keeps it submerged until June. Before the neighboring communities were settled by white people, the area was probably submerged the greater part of the year. As the section developed, most of the water from the San Pitch River was diverted for irrigation purposes, resulting in an annual decrease of water which reached the swamp

Microbotanical signatures of kreb: differentiating inflorescence phytoliths from northern African wild grasses

Throughout northern Africa, evidence for an intensification of wild grass gathering is reflected in Holocene archaeological contexts. However, both the recovery of macrobotanical assemblages and the specificity of their taxonomic classification are heavily influenced by food processing and post-depositional conditions. In contrast, inflorescence phytoliths provide high levels of taxonomic specificity and preserve well in most archaeological contexts. This study analyses the in situ morphology of inflorescence phytoliths from modern specimens of nine wild C4 grass species commonly observed in ethnographic studies and recovered in seed assemblages from archaeological contexts across northern Africa. Morphological differences in Interdigitate phytoliths within the fertile florets of six Paniceae species enabled differentiation between them. The morphological parameters established in this study provide an additional resource for archaeological and palaeoecological analyses using phytoliths, which demonstrates the effectiveness of applying this method to African wild grass species.Introduction Materials and methods - Selected species - Sample preparation and analysis - Phytolith nomenclature Results Variations in phytolith occurrence between inflorescence bracts - Glumes - Lemmas - Paleas Classification of Interdigitate morphotypes Discussion Conclusion

MERGING SUBJECT MATTER EXPERTISE AND DEEP CONVOLUTIONAL NEURALNETWORK FOR STATE-BASED ONLINE MACHINE-PART INTERACTIONCLASSIFICATION

Machine-part interaction classification is a key capability required by Cyber-Physical Systems (CPS), a pivotal enabler of Smart Manufacturing (SM). While previous relevant studies on the subject have primarily focused on time series classification, change point detection is equally important because it provides temporal information on changes in behavior of the machine. In this work, we address point detection and time series classification for machine-part interactions with a deep Convolutional Neural Network (CNN) based framework. The CNN in this framework utilizes a two-stage encoder-classifier structure for efficient feature representation and convenient deployment customization for CPS. Though data-driven, the design and optimization of the framework are Subject Matter Expertise (SME) guided. An SME defined Finite State Machine (FSM) is incorporated into the framework to prohibit intermittent misclassifications. In the case study, we implement the framework to perform machine-part interaction classification on a milling machine, and the performance is evaluated using a testing dataset and deployment simulations. The implementation achieved an average F1-Score of 0.946 across classes on the testing dataset and an average delay of 0.24 seconds on the deployment simulations.http://deepblue.lib.umich.edu/bitstream/2027.42/169573/1/honors_capstone_report_hao_wang.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/169573/2/capstone_ppt_hao_wang.ppt

RNA-Based Detection Does not Accurately Enumerate Living Escherichia coli O157:H7 Cells on Plants

The capacity to distinguish between living and dead cells is an important, but often unrealized, attribute of rapid detection methods for foodborne pathogens. In this study, the numbers of enterohemorrhagic Escherichia coli O157:H7 after inoculation onto Romaine lettuce plants and on plastic (abiotic) surfaces were measured over time by culturing, and quantitative PCR (qPCR), propidium monoazide (PMA)-qPCR, and reverse transcriptase (RT)-qPCR targeting E. coli O157:H7 gapA, rfbE, eae, and lpfA genes and gene transcripts. On Romaine lettuce plants incubated at low relative humidity, E. coli O157:H7 cell numbers declined 107-fold within 96 h according to culture-based assessments. In contrast, there were no reductions in E. coli levels according to qPCR and only 100- and 1000-fold lower numbers per leaf by RT-qPCR and PMA-qPCR, respectively. Similar results were obtained upon exposure of E. coli O157:H7 to desiccation conditions on a sterile plastic surface. Subsequent investigation of mixtures of living and dead E. coli O157:H7 cells strongly indicated that PMA-qPCR detection was subject to false-positive enumerations of viable targets when in the presence of 100-fold higher numbers of dead cells. RT-qPCR measurements of killed E. coli O157:H7 as well as for RNaseA-treated E. coli RNA confirmed that transcripts from dead cells and highly degraded RNA were also amplified by RT-qPCR. These findings show that neither PMA-qPCR nor RT-qPCR provide accurate estimates of bacterial viability in environments where growth and survival is limited

Etude de l'évolution instationnaire de l'écoulement entourant un véhicule soumis brusquement à un vent latéral

Les techniques de PIV résolue en temps et de PIV stéréoscopique sont appliquées autour de corps automobiles soumis à un coup de vent latéral. Ainsi, l’évolution instationnaire des efforts aérodynamiques peut être interprétée en lien avec la topologie de l’écoulement. On montre en particulier que la réponse instationnaire du véhicule est dominée par le transitoire de la partie arrière. Le développement de la structure tourbillonnaire d’axe longitudinal apparaissant du côté sous le vent du véhicule soumis à un dérapage apparaît jouer un rôle important dans la réponse instationnaire de efforts aérodynamiques

Design of composite ducted horizontal axis tidal turbine

The marine current turbine is the mechanical device that captures the kinetic energy of marine current to generate electrical power. A panel method program coupled with the blade element momentum theory (BEM) was used to design a bare tidal turbine which reaches 88% of the Betz limit. The addition of a duct for a same overall cross section area has been investigated. The numerical results show that the ducted turbine’s power coefficient, which was computed using the overall cross section area, can be slightly increased if a camber duct profile with a flare angle is used. The hydrodynamic pressure obtained with the panel method code were then implemented as boundary conditions to a finite element analysis (FEA) in order to compute the mechanical behavior, stress distribution and deflection of the duct in composite material. The Hashin criterion was used for damage prediction