Reading and the Response Towards Unknown Single Words and Formulaic Sequences by English Second Language Learners

Abstract With advancements in technology, reading task can take place on a computer, where a gloss is only a click away. A gloss can be consulted to find the meaning of any single word (SW) or formulaic sequence (FS). So how does this influence the L2 reader? In an attempt to understand the L2 reader, this study will use a within subject design to look at clicking behaviors, reading comprehension, and characteristics of the individual L2 readers as they complete the task of reading on the computer. This study focuses on 20 targeted lexical items equally distributed between single words (SW) and formulaic sequences (FS). In addition, 50% of these targets take the form of underlined, blue text to consider the properties of typographical saliency. One reading passage, embedded with hyperlinks for single words (SW) and formulaic sequences (FS), was given to 107 participants to read on the computer along with a multiple choice reading comprehension paper test of 20 questions. Statistical analysis surprisingly finds similarities and differences between single words (SW) and formulaic sequences (FS) in both clicking behaviors and reading comprehension scores. These results, demonstrates a need for further evaluation on how L2 readers perform in a reading task, involving single words (SW) and formulaic sequences (FS)

Hillview:A trillion-cell spreadsheet for big data

Hillview is a distributed spreadsheet for browsing very large datasets that cannot be handled by a single machine. As a spreadsheet, Hillview provides a high degree of interactivity that permits data analysts to explore information quickly along many dimensions while switching visualizations on a whim. To provide the required responsiveness, Hillview introduces visualization sketches, or vizketches, as a simple idea to produce compact data visualizations. Vizketches combine algorithmic techniques for data summarization with computer graphics principles for efficient rendering. While simple, vizketches are effective at scaling the spreadsheet by parallelizing computation, reducing communication, providing progressive visualizations, and offering precise accuracy guarantees. Using Hillview running on eight servers, we can navigate and visualize datasets of tens of billions of rows and trillions of cells, much beyond the published capabilities of competing systems

In Vivo Identification of Eugenol-Responsive and Muscone-Responsive Mouse Odorant Receptors

Our understanding of mammalian olfactory coding has been impeded by the paucity of information about the odorant receptors (ORs) that respond to a given odorant ligand in awake, freely behaving animals. Identifying the ORs that respond in vivo to a given odorant ligand from among the ∼1100 ORs in mice is intrinsically challenging but critical for our understanding of olfactory coding at the periphery. Here, we report an in vivo assay that is based on a novel gene-targeted mouse strain, S100a5-tauGFP, in which a fluorescent reporter selectively marks olfactory sensory neurons that have been activated recently in vivo. Because each olfactory sensory neuron expresses a single OR gene, multiple ORs responding to a given odorant ligand can be identified simultaneously by capturing the population of activated olfactory sensory neurons and using expression profiling methods to screen the repertoire of mouse OR genes. We used this in vivo assay to re-identify known eugenol- and muscone-responsive mouse ORs. We identified additional ORs responsive to eugenol or muscone. Heterologous expression assays confirmed nine eugenol-responsive ORs (Olfr73, Olfr178, Olfr432, Olfr610, Olfr958, Olfr960, Olfr961, Olfr913, and Olfr1234) and four muscone-responsive ORs (Olfr74, Olfr235, Olfr816, and Olfr1440). We found that the human ortholog of Olfr235 and Olfr1440 responds to macrocyclic ketone and lactone musk odorants but not to polycyclic musk odorants or a macrocyclic diester musk odorant. This novel assay, called the Kentucky in vivo odorant ligand-receptor assay, should facilitate the in vivo identification of mouse ORs for a given odorant ligand of interest

Genotoxicity of multi-walled carbon nanotubes at occupationally relevant doses

Carbon nanotubes are commercially-important products of nanotechnology; however, their low density and small size makes carbon nanotube respiratory exposures likely during their production or processing. We have previously shown mitotic spindle aberrations in cultured primary and immortalized human airway epithelial cells exposed to single-walled carbon nanotubes (SWCNT). In this study, we examined whether multi-walled carbon nanotubes (MWCNT) cause mitotic spindle damage in cultured cells at doses equivalent to 34 years of exposure at the NIOSH Recommended Exposure Limit (REL). MWCNT induced a dose responsive increase in disrupted centrosomes, abnormal mitotic spindles and aneuploid chromosome number 24 hours after exposure to 0.024, 0.24, 2.4 and 24 μg/cm2 MWCNT. Monopolar mitotic spindles comprised 95% of disrupted mitoses. Three-dimensional reconstructions of 0.1 μm optical sections showed carbon nanotubes integrated with microtubules, DNA and within the centrosome structure. Cell cycle analysis demonstrated a greater number of cells in S-phase and fewer cells in the G2 phase in MWCNT-treated compared to diluent control, indicating a G1/S block in the cell cycle. The monopolar phenotype of the disrupted mitotic spindles and the G1/S block in the cell cycle is in sharp contrast to the multi-polar spindle and G2 block in the cell cycle previously observed following exposure to SWCNT. One month following exposure to MWCNT there was a dramatic increase in both size and number of colonies compared to diluent control cultures, indicating a potential to pass the genetic damage to daughter cells. Our results demonstrate significant disruption of the mitotic spindle by MWCNT at occupationally relevant exposure levels

Enhancing Usability and Security through Alternative Authentication Methods

With the expanding popularity of various Internet services, online users have be- come more vulnerable to malicious attacks as more of their private information is accessible on the Internet. The primary defense protecting private information is user authentication, which currently relies on less than ideal methods such as text passwords and PIN numbers. Alternative methods such as graphical passwords and behavioral biometrics have been proposed, but with too many limitations to replace current methods. However, with enhancements to overcome these limitations and harden existing methods, alternative authentications may become viable for future use. This dissertation aims to enhance the viability of alternative authentication systems. In particular, our research focuses on graphical passwords, biometrics that depend, directly or indirectly, on anthropometric data, and user authentication en- hancements using touch screen features on mobile devices. In the study of graphical passwords, we develop a new cued-recall graphical pass- word system called GridMap by exploring (1) the use of grids with variable input entered through the keyboard, and (2) the use of maps as background images. as a result, GridMap is able to achieve high key space and resistance to shoulder surfing attacks. to validate the efficacy of GridMap in practice, we conduct a user study with 50 participants. Our experimental results show that GridMap works well in domains in which a user logs in on a regular basis, and provides a memorability benefit if the chosen map has a personal significance to the user. In the study of anthropometric based biometrics through the use of mouse dy- namics, we present a method for choosing metrics based on empirical evidence of natural difference in the genders. In particular, we develop a novel gender classifi- cation model and evaluate the model’s accuracy based on the data collected from a group of 94 users. Temporal, spatial, and accuracy metrics are recorded from kine- matic and spatial analyses of 256 mouse movements performed by each user. The effectiveness of our model is validated through the use of binary logistic regressions. Finally, we propose enhanced authentication schemes through redesigned input, along with the use of anthropometric biometrics on mobile devices. We design a novel scheme called Triple Touch PIN (TTP) that improves traditional PIN number based authentication with highly enlarged keyspace. We evaluate TTP on a group of 25 participants. Our evaluation results show that TTP is robust against dictio- nary attacks and achieves usability at acceptable levels for users. We also assess anthropometric based biometrics by attempting to differentiate user fingers through the readings of the sensors in the touch screen. We validate the viability of this biometric approach on 33 users, and observe that it is feasible for distinguishing the fingers with the largest anthropometric differences, the thumb and pinkie fingers

Strain Response in Osteocyte Lacuna Due to Mechanical Loading - a Parametric Finite Element Study Using FEBio

Title from PDF of title page, viewed April 18, 2017Thesis advisor: Ganesh ThiagarajanVitaIncludes bibliographical references (page 62)Thesis (M.S.)--School of Computing and Engineering. University of Missouri--Kansas City, 2016Osteocytes are the major type of living cells in bone and are known to be responsible for the biomechanosensory functions within the bone matrix. Osteocytes are activated by mechanical forces and regulates both osteoclasts and osteoblasts for bone resorption/formation. Not all the osteocytes are activated due to the applied mechanical loading because of many factors such as variation in size, position and orientation of them with respect to the loading surface. Strain response of osteocyte to the applied loading is of importance in estimating the bone resorption/formation. Although previously there were many studies that investigated strain responses at the osteocyte lacuna, very few were finite element studies and were limited to 2-dimensional models. Here in this study, a finite element model was created using FEBio at the microscale level and osteocyte lacunar and perilacunar responses were calculated based on three studies: 1) variation in lacunar position, 2) variation in lacunar orientation and 3) variation in lacunar size. A parametric study was performed by varying the elastic modulus of the perilacunar matrix which resulted in a decrease of maximum strain in lacuna with an increase in perilacunar modulus from 5GPa to 20GPa. Then, the model was scaled down to nanometer range and the lacunar responses were investigated and the results were compared with a previous study. Finally, a 3-dimensional osteocyte model was developed using MIMICS and 3-Matic softwares using confocal image stack of mouse femurs.Introduction -- Software description -- Material and methods -- Parametric analysis -- Results and discussions -- Discussions -- Conclusion and future work -- Appendix A. Step-by-step procedure in the analysi

Tough Mining: The challenges of searching the scientific literature

With more than 400,000 new research articles listed each year in PubMed alone, more sophisticated tools are being developed to extract relevant informatio

A Dual Inhibitor of the Proteasome Catalytic Subunits LMP2 and Y Attenuates Disease Progression in Mouse Models of Alzheimer\u27s Disease

The immunoproteasome (iP) is a variant of the constitutive proteasome (cP) that is abundantly expressed in immune cells which can also be induced in somatic cells by cytokines such as TNF-α or IFN-γ. Accumulating evidence support that the iP is closely linked to multiple facets of inflammatory response, eventually leading to the development of several iP inhibitors as potential therapeutic agents for autoimmune diseases. Recent studies also found that the iP is upregulated in reactive glial cells surrounding amyloid β (Aβ) deposits in brains of Alzheimer\u27s disease (AD) patients, but the role it plays in the pathogenesis of AD remains unclear. In this study, we investigated the effects of several proteasome inhibitors on cognitive function in AD mouse models and found that YU102, a dual inhibitor of the iP catalytic subunit LMP2 and the cP catalytic subunit Y, ameliorates cognitive impairments in AD mouse models without affecting Aβ deposition. The data obtained from our investigation revealed that YU102 suppresses the secretion of inflammatory cytokines from microglial cells. Overall, this study indicates that there may exist a potential link between LMP2/Y and microglia-mediated neuroinflammation and that inhibition of these subunits may offer a new therapeutic strategy for AD