Indiana University-Purdue University Indianapolis (IUPUI) / Sin duda la lectura tiene un papel importante en el aula de segunda lengua. No solo es una manera efectiva de adquirir vocabulario y gramática sino también es un buen instrumento para presentar la cultura de la lengua meta. Por lo tanto, es necesario que los estudiantes puedan leer bien. No obstante, los problemas de comprensión surgen cuando a los estudiantes les falta competencia lingüística o conocimiento previo o, las diferencias en las aptitudes de leer, varían en cada estudiante. Entonces es importante que los maestros les den a los estudiantes los instrumentos que les permitan acceder a las estrategias de comprensión. La meta de este trabajo es probar que entre más conciencia metacognitiva tenga un estudiante de segunda lengua, mejor será su comprensión del texto. En general, los maestros de segunda lengua entienden la importancia del conocimiento de vocabulario y gramática en cuanto al éxito de lectura, pero quizás no se dan cuenta de que la conciencia metacognitiva tiene un papel igualmente importante. Por ello, este trabajo es tanto para los maestros que no están familiarizados con la instrucción de las estrategias de la comprensión de lectura como para los que dudan del valor en el currículo, ya lleno de lecciones y ejercicios comunicativos.

Indiana University-Purdue University Indianapolis (IUPUI) / Cellular membranes contain a staggering diversity of lipids. The lipids are heterogeneously distr ibuted to create regions, or domains, whose physical properties differ from the bulk membrane and play an essential role in modulating the function of resident proteins. Many basic questions pertaining to the formation of these lateral assemblies remain. T his research employs model membranes of well - defined composition to focus on the potential role of polyunsaturated fatty acids (PUFAs) and their interaction with cholesterol (chol) in restructuring the membrane environment. Omega - 3 (n - 3) PUFAs are the main bioactive components of fish oil, whose consumption alleviates a variety of health problems by a molecular mechanism that is unclear. We hypothesize that the incorporation of PUFAs into membrane lipids and the effect they have on molecular organization may be, in part, responsible. Chol is a major constituent in the plasma membrane of mammals. It determines the arrangement and collective properties of neighboring lipids, driving the formation of domains via differential affinity for different lipids . T he m olecular organization of 1 -[ 2 H 31 ]palmitoyl -2- eicosapentaenoylphosphatidylcholine (PEPC - d 31 ) and 1 -[ 2 H 31 ]palmitoyl -2- docosahexaenoylphosphatidylcholine (PDPC -d 31 ) in membran es with sphingomyelin (SM) and chol (1:1:1 mol) was compared by solid - state 2 H NMR spectroscopy. Eicosapentaenoic (EPA) and docosahexaenoic (DHA) acids are the two major n - 3 PUFAs found in fish oil, while PEPC -d 31 and PDPC -d 31 are phospholipids containing the respective PUFAs at the sn - 2 position and a perdeuterated palmitic acid a t the sn - 1 position . Analysis of s pectra recorded as a function of temperature indicate s that in both cases, formation of PUFA - rich (less ordered) and SM - rich (more ordered) domains occurred. A surprisingly substantial proportion of PUFA was found to infil trate the more ordered domain. There was almost twice as much DHA (65%) as EPA (30%) . The implication is that n - 3 PUFA s can incorporate into lipid rafts, which are domains enriched in SM and chol in the plasma membrane, and potentially disrupt the activity of signaling proteins that reside therein. DHA, furthermore, may be the more potent component of fish oil. PUFA - chol interactions were also examined through affinity measurements. A novel method utilizing electron paramagnetic resonance (EPR) was develope d, to monitor the partitioning of a spin - labeled analog of chol , 3β - doxyl - 5α - cholestane (chlstn), between large unilamellar vesicles (LUVs) and met hyl - β - cyclodextrin (mβCD). The EPR spectra for chlstn in the two environments are distinguishable due to the substantial differences in tumbling rates , allowing the population distribution ratio to be determined by spectral simulation. Advantages of this approach include speed of implementation and a vo idance of potential artifact s associated with physical separation of LUV and mβCD . Additionally, in a check of the method, t he relative partition coefficients between lipids measured for the spin label analog agree with values obtained for chol by isothermal titration calorimetry (ITC). Results from LUV with different composition confirmed a hierarchy of decreased sterol affinity for phospholipids with increasing acyl chain unsaturation , PDPC possessing half the affinity of the corresponding monounsaturated phospholipid. Taken together, the results of these studies on model membranes demonstrate the potential for PUFA - driven alteration of the architecture of biomembranes, a mechanism through which human health may be impacted.

Indiana University-Purdue University Indianapolis (IUPUI) / An excess of bone resorption over bone formation leads to osteoporosis, resulting in a reduction of bone mass and an increase in the risk of bone fracture. Anabolic and anti-resorptive drugs are currently available for treatment, however, none of these drugs are able to both promote osteoblastogenesis and reduce osteoclastogenesis. This thesis focused on the role of eukaryotic translation initiation factor 2 alpha (eIF2alpha), which regulates efficiency of translational initiation. The elevation of phosphorylated eIF2alpha was reported to stimulate osteoblastogenesis, but its effects on osteoclastogenesis have not been well understood. Using synthetic chemical agents such as salubrinal and guanabenz that are known to inhibit the de-phosphorylation of eIF2alpha, the role of phosphorylation of eIF2alpha in osteoclastogenesis was investigated in this thesis. The questions addressed herein were: Does the elevation of phosphorylated eIF2alpha (p-eIF2alpha) by salubrinal and guanabenz alter osteoclastogenesis? If so, what regulatory mechanism mediates the process? It was hypothesized that p-eIF2alpha could attenuate the development of osteoclast by regulating the transcription factor(s) amd microRNA(s) involved in osteoclastogenesis. To test this hypothesis, we conducted in vitro and in silico analysis of the responses of RAW 264.7 pre-osteoclast cells to salubrinal and guanabenz. First, the in vitro results revealed that the elevated level of phosphorylated eIF2alpha inhibited the proliferation, differentiation, and maturation of RAW264.7 cells and downregulated the expression of NFATc1, a master transcription factor of osteoclastogenesis. Silencing eIF2alpha by RNA interference suppressed the downregulation of NFATc1, suggesting the involvement of eIF2alpha in regulation of NFATc1. Second, the in silico results using genome-wide expression data and custom-made Matlab programs predicted a set of stimulatory and inhibitory regulator genes as well as microRNAs, which were potentially involved in the regulation of NFATc1. RNA interference experiments indicated that the genes such as Zfyve21 and Ddit4 were primary candidates as an inhibitor of NFATc1. In summary, the results showed that the elevation of p-eIF2alpha by salubrinal and guanabenz leads to attenuation of osteoclastogenesis through the downregulation of NFATc1. The regulatory mechanism is mediated by eIF2alpha signaling, but other signaling pathways are likely to be involved. Together with the previous data showing the stimulatory role of p-eIF2alpha in osteoblastogenesis, the results herein suggest that eIF2alpha-mediated signaling could provide a novel therapeutic target for treatment of osteoporosis by promoting bone formation and reducing bone resorption.

Indiana University-Purdue University Indianapolis (IUPUI) / Gain-of-function mutations in the KIT receptor tyrosine kinase have been associated with highly malignant human neoplasms. In particular, an acquired somatic mutation at codon 816 in the second catalytic domain of KIT involving an aspartic acid to valine substitution is found in patients with systemic mastocytosis (SM) and acute myeloid leukemia (AML). The presence of this mutation in SM and AML is associated with poor prognosis and overall survival. This mutation changes the conformation of the KIT receptor resulting in altered substrate recognition and constitutive tyrosine autophosphorylation leading to constitutive ligand independent growth. As there are currently no efficacious therapeutic agents against this mutation, this study sought to define novel therapeutic targets that contribute to aberrant signaling downstream from KITD816V that promote transformation of primary hematopoietic stem/progenitor cells in diseases such as AML and SM. This study shows that oncogenic KITD814V (murine homolog) induced myeloproliferative neoplasms (MPN) occurs in the absence of ligand stimulation, and that intracellular tyrosines are important for KITD814V-induced MPN. Among the seven intracellular tyrosines examined, tyrosine 719 alone has a unique role in regulating KITD814V-induced proliferation and survival. Residue tyrosine 719 is vital for activation of the regulatory subunit of phosphatidylinositol 3-kinase (PI3K), p85α, downstream from KITD814V. Downstream effectors of the PI3K signaling pathway, in of leukemic cells bearing KITD814V with an allosteric inhibitor of Pak or its genetic inactivation results in growth repression due to enhanced apoptosis. To assess the role of Rac GEFs in KITD814V induced transformation, EHop-016, an inhibitor of Rac, was used to specifically target Vav1, and found to be a potent inhibitor of human and murine leukemic cell growth. In vivo, the inhibition of Vav or Rac or Pak delayed the onset of MPN and rescued the associated pathology in mice. These studies provide insight on mechanisms and potential novel therapeutic targets for hematological malignancies harboring an oncogenic KIT mutation.

Indiana University-Purdue University Indianapolis (IUPUI) / Heating, ventilation, and air conditioning (HVAC) is the technology responsible to maintain temperature levels and air quality in buildings to certain standards. In a commercial setting, HVAC systems accounted for more than 50% of the total energy cost of the building in 2013 [13]. New control methods are always being worked on to improve the effectiveness and efficiency of the system. These control systems include model predictive control (MPC), evolutionary algorithm (EA), evolutionary programming (EP), and proportional-integral-derivative (PID) controllers. Such control tools are used on new HVAC system to ensure the ultimate efficiency and ensure the comfort of occupants. However, there is a need for a system that can monitor the energy performance of the HVAC system and ensure that it is operating in its optimal operation and controlled as expected. In this thesis, an air handling unit (AHU) of an HVAC system was modeled to analyze its performance using real data collected from an operating AHU using a wireless monitoring system. The purpose was to monitor the AHU's performance, analyze its key parameters to identify flaws, and evaluate the energy waste. This system will provide the maintenance personnel to key information to them to act for increasing energy efficiency. The mechanical model was experimentally validated first. Them a baseline operating condition was established. Finally, the system under extreme weather conditions was evaluated. The AHU's subsystem performance, the energy consumption and the potential wastes were monitored and quantified. The developed system was able to constantly monitor the system and report to the maintenance personnel the information they need. I can be used to identify energy savings opportunities due to controls malfunction. Implementation of this system will provide the system's key performance indicators, offer feedback for adjustment of control strategies, and identify the potential savings. To further verify the capabilities of the model, a case study was performed on an air handling unit on campus for a three month monitoring period. According to the mechanical model, a total of 63,455 kWh can be potentially saved on the unit by adjusting controls. In addition the mechanical model was able to identify other energy savings opportunities due to set point changes that may result in a total of 77,141 kWh.

Multiple-outcome longitudinal data are abundant in clinical investigations. For example, infections with different pathogenic organisms are often tested concurrently, and assessments are usually taken repeatedly over time. It is therefore natural to consider a multivariate modeling approach to accommodate the underlying interrelationship among the multiple longitudinally measured outcomes. This dissertation proposes a multivariate semiparametric modeling framework for such data. Relevant estimation and inference procedures as well as model selection tools are discussed within this modeling framework. The first part of this research focuses on the analytical issues concerning binary data. The second part extends the binary model to a more general situation for data from the exponential family of distributions. The proposed model accounts for the correlations across the outcomes as well as the temporal dependency among the repeated measures of each outcome within an individual. An important feature of the proposed model is the addition of a bivariate smooth function for the depiction of concurrent nonlinear and possibly interacting influences of two independent variables on each outcome. For model implementation, a general approach for parameter estimation is developed by using the maximum penalized likelihood method. For statistical inference, a likelihood-based resampling procedure is proposed to compare the bivariate nonlinear effect surfaces across the outcomes. The final part of the dissertation presents a variable selection tool to facilitate model development in practical data analysis. Using the adaptive least absolute shrinkage and selection operator (LASSO) penalty, the variable selection tool simultaneously identifies important fixed effects and random effects, determines the correlation structure of the outcomes, and selects the interaction effects in the bivariate smooth functions. Model selection and estimation are performed through a two-stage procedure based on an expectation-maximization (EM) algorithm. Simulation studies are conducted to evaluate the performance of the proposed methods. The utility of the methods is demonstrated through several clinical applications.

Indiana University-Purdue University Indianapolis (IUPUI) / All platinum (Pt)-based chemotherapeutics exert their efficacy primarily via the formation of DNA adducts which interfere with DNA replication, transcription and cell division and ultimately induce cell death. Repair and tolerance of Pt-DNA lesions by nucleotide excision repair and homologous recombination (HR) can substantially reduce the effectiveness of the Pt therapy. Inhibition of these repair pathways, therefore, holds the potential to sensitize cancer cells to Pt treatment and increase clinical efficacy. Replication Protein A (RPA) plays essential roles in both NER and HR, along with its role in DNA replication and DNA damage checkpoint activation. Each of these functions requires RPA binding to single-stranded DNA (ssDNA). We synthesized structural analogs of our previously reported RPA inhibitor TDRL-505, determined the structure activity relationships and evaluated their efficacy in tissue culture models of epithelial ovarian cancer (EOC) and non-small cell lung cancer (NSCLC). These data led us to the identification of TDRL-551, which exhibited a greater than 2-fold increase in in vitro and cellular activity. TDRL-551 showed synergy with Pt in tissue culture models of EOC and in vivo efficacy, as a single agent and in combination with platinum, in a NSCLC xenograft model. These data demonstrate the utility of RPA inhibition in EOC and NSCLC and the potential in developing novel anticancer therapeutics that target RPA-DNA interactions.

Indiana University-Purdue University Indianapolis (IUPUI) / Translation Initiation in protein synthesis is a crucial step controlling gene expression that enhanced by eukaryotic translation initiation factors (eIFs). eIF3a, the largest subunit of eIF3 complexes, has been shown to regulate protein synthesis and cellular response to cisplatin treatment. Its expression has also been shown to negatively associate with prognosis. In this study, we tested a hypothesis that eIF3a regulates synthesis of proteins important for repair of double strand DNA breaks induced by ionizing radiation (IR). We found that eIF3a up-regulation sensitizes cellular response to IR while its knockdown causes resistance to IR. We also found that eIF3a over-expression increases IR-induced DNA damage and decreases Non-Homologous End Joining (NHEJ) activity by suppressing expression level of NHEJ repair proteins such as DNA-PKcs and vice versa. Together, we conclude that eIF3a plays an important role in cellular response to DNA-damaging treatments by regulating synthesis of DNA repair proteins and, thus, eIIF3a likely plays an important role in the outcome of cancer patients treated with DNA-damaging strategies including ionizing radiation.

Indiana University-Purdue University Indianapolis (IUPUI) / Intrinsically disordered proteins are proteins characterized by lack of stable tertiary structures under physiological conditions. Evidence shows that disordered proteins are not only highly involved in protein interactions, but also have the capability to associate with more than one partner. Short disordered protein fragments, called “molecular recognition features” (MoRFs), were hypothesized to facilitate the binding diversity of highly-connected proteins termed “hubs”. MoRFs often couple folding with binding while forming interaction complexes. Two protein disorder mechanisms were proposed to facilitate multiple partner binding and enable hub proteins to bind to multiple partners: 1. One region of disorder could bind to many different partners (one-to-many binding), so the hub protein itself uses disorder for multiple partner binding; and 2. Many different regions of disorder could bind to a single partner (many-to-one binding), so the hub protein is structured but binds to many disordered partners via interaction with disorder. Thousands of MoRF-partner protein complexes were collected from Protein Data Bank in this study, including 321 one-to-many binding examples and 514 many-to-one binding examples. The conformational flexibility of MoRFs was observed at atomic resolution to help the MoRFs to adapt themselves to various binding surfaces of partners or to enable different MoRFs with non-identical sequences to associate with one specific binding pocket. Strikingly, in one-to-many binding, post-translational modification, alternative splicing and partner topology were revealed to play key roles for partner selection of these fuzzy complexes. On the other hand, three distinct binding profiles were identified in the collected many-to-one dataset: similar, intersecting and independent. For the similar binding profile, the distinct MoRFs interact with almost identical binding sites on the same partner. The MoRFs can also interact with a partially the same but partially different binding site, giving the intersecting binding profile. Finally, the MoRFs can interact with completely different binding sites, thus giving the independent binding profile. In conclusion, we suggest that protein disorder with post-translational modifications and alternative splicing are all working together to rewire the protein interaction networks.

Indiana University-Purdue University Indianapolis (IUPUI) / Nurse-physician collaboration has received much attention over the past decade in the USA. The release of three reports from the Institute of Medicine implicated poor communication and collaboration among nurses and physicians as a major contributing factor to the incidence of sentinel events and medical errors. Despite the growing awareness of the imperative related to collaboration between nurses and physicians to ensure patient safety, the problem of poor nurse-physician collaboration remains endemic throughout the country. Indian nurses, along with many other internationally educated nurses, comprise 12-15.2% of the nursing workforce in the USA. Little is known about how Indian nurses culture potentially influences their ability to effectively collaborate with physicians to ensure patient safety. The purpose of this study is to understand Indian nurses’ attitudes and perceptions about nurse-physician collaboration. Hermeneutic interpretive phenomenology as influenced by the work of Martin Heidegger guided this study through the use of interviews via Skype. The overall experience of the Indian nurses was of one experiencing a dramatic positive change in nurse-physician collaboration in the USA as compared to India. Four themes emerged describing this phenomenon: Respect/feeling heard, Being Trusted, Assurance of Accountability, and Finding Freedom. Indian nurses practicing in the USA find a freedom that empowers them to collaborate with physicians for patient safety. They, as all nurses may, benefit from continuing educational opportunities that demonstrate ways to collaborate more fully.