THE INTERACTION BETWEEN INTERNAL AND EXTERNAL INFORMATION ON RELATIONAL DATA SEARCH

People often use tools to search for information. In order to improve the quality of an information search, it is important to understand how internal information, which is stored in user’s mind, and external information, represented by the interface of tools interact with each other. How information is distributed between internal and external representations significantly affects information search performance. However, few studies have examined the relationship between types of interface and types of search task in the context of information search. For a distributed information search task, how data are distributed, represented, and formatted significantly affects the user search performance in terms of response time and accuracy. Guided by UFuRT (User, Function, Representation, Task), a human-centered process, I propose a search model, task taxonomy. The model defines its relationship with other existing information models. The taxonomy clarifies the legitimate operations for each type of search task of relation data. Based on the model and taxonomy, I have also developed prototypes of interface for the search tasks of relational data. These prototypes were used for experiments. The experiments described in this study are of a within-subject design with a sample of 24 participants recruited from the graduate schools located in the Texas Medical Center. Participants performed one-dimensional nominal search tasks over nominal, ordinal, and ratio displays, and searched one-dimensional nominal, ordinal, interval, and ratio tasks over table and graph displays. Participants also performed the same task and display combination for twodimensional searches. Distributed cognition theory has been adopted as a theoretical framework for analyzing and predicting the search performance of relational data. It has been shown that the representation dimensions and data scales, as well as the search task types, are main factors in determining search efficiency and effectiveness. In particular, the more external representations used, the better search task performance, and the results suggest the ideal search performance occurs when the question type and corresponding data scale representation match. The implications of the study lie in contributing to the effective design of search interface for relational data, especially laboratory results, which are often used in healthcare activities.

A Model for Family Preservation Case Assessment

The outcomes of family preservation practice have been researched and debated. The effectiveness of family preservation is still inconclusive and many of the findings may only be inferred to specific situations. Few studies have addressed the assessment techniques or outcome factors from a qualitative perspective. This article synthesizes current literature, research and practice, and proposes a practice framework with questioning techniques to assist practitioners in assessing the strengths and characteristics of a family, and making decisions on whether or not familybased services are appropriate for the family. Two actual cases are presented to illustrate how the worker can benefit from having the assessment data derived from this model.

Multiple imputation for missing continuous and dichotomous data: The effects of patterns of missingness and variable correlations on type I error with small samples

The purpose of this study is to investigate the effects of predictor variable correlations and patterns of missingness with dichotomous and/or continuous data in small samples when missing data is multiply imputed. Missing data of predictor variables is multiply imputed under three different multivariate models: the multivariate normal model for continuous data, the multinomial model for dichotomous data and the general location model for mixed dichotomous and continuous data. Subsequent to the multiple imputation process, Type I error rates of the regression coefficients obtained with logistic regression analysis are estimated under various conditions of correlation structure, sample size, type of data and patterns of missing data. The distributional properties of average mean, variance and correlations among the predictor variables are assessed after the multiple imputation process. ^ For continuous predictor data under the multivariate normal model, Type I error rates are generally within the nominal values with samples of size n = 100. Smaller samples of size n = 50 resulted in more conservative estimates (i.e., lower than the nominal value). Correlation and variance estimates of the original data are retained after multiple imputation with less than 50% missing continuous predictor data. For dichotomous predictor data under the multinomial model, Type I error rates are generally conservative, which in part is due to the sparseness of the data. The correlation structure for the predictor variables is not well retained on multiply-imputed data from small samples with more than 50% missing data with this model. For mixed continuous and dichotomous predictor data, the results are similar to those found under the multivariate normal model for continuous data and under the multinomial model for dichotomous data. With all data types, a fully-observed variable included with variables subject to missingness in the multiple imputation process and subsequent statistical analysis provided liberal (larger than nominal values) Type I error rates under a specific pattern of missing data. It is suggested that future studies focus on the effects of multiple imputation in multivariate settings with more realistic data characteristics and a variety of multivariate analyses, assessing both Type I error and power. ^

Simulation study of joint transition and Weibull survival model with shared parameters

This study investigates a theoretical model where a longitudinal process, that is a stationary Markov-Chain, and a Weibull survival process share a bivariate random effect. Furthermore, a Quality-of-Life adjusted survival is calculated as the weighted sum of survival time. Theoretical values of population mean adjusted survival of the described model are computed numerically. The parameters of the bivariate random effect do significantly affect theoretical values of population mean. Maximum-Likelihood and Bayesian methods are applied on simulated data to estimate the model parameters. Based on the parameter estimates, predicated population mean adjusted survival can then be calculated numerically and compared with the theoretical values. Bayesian method and Maximum-Likelihood method provide parameter estimations and population mean prediction with comparable accuracy; however Bayesian method suffers from poor convergence due to autocorrelation and inter-variable correlation. ^

Functional analysis of MRF4 during mouse embryogenesis

MRF4 is one of four skeletal muscle specific regulatory genes, (the other three genes being MyoD, myf5, and myogenin), each of which has the unique ability to orchestrate an entire program of muscle-specific transcription when introduced into diverse cell types. These findings have led to the notion that these factors function as master regulators of muscle cell fate. Analysis of mice lacking MyoD, myf5, and myogenin have further defined their roles in the commitment and differentiation of myotomal progenitor cells. Current data strongly supports the model that MyoD and myf5 share functional redundancy in determining the muscle cell lineage, while myogenin acts downstream of MyoD and myf5, to initiate myoblast differentiation. Unlike other myogenic bHLH genes, MRF4 is expressed predominantly in the adult, suggesting that it may function to regulate adult muscle maturation and maintenance. To test this hypothesis and to eventually incorporate MRF4 into a general model for muscle specification, differentiation, maturation and maintenance, I deleted the MRF4 gene. MRF4-null mice are viable and fertile, however, they show mild rib anomalies. In addition, the expression of myogenin is dramatically upregulated only in the adult, suggesting that myogenin may compensate for the loss of MRF4 in the adult, and MRF4 may normally suppress the expression of myogenin after birth. MRF4 is also required during muscle regeneration after injury.^ To determine the degree of genetic redundancy between MRF4-myogenin; and MRF4-MyoD, I crossed the MRF4-null mice with MyoD- and myogenin-null mice respectively. There are no additional muscle phenotypes in double-null progeny from a MRF4 and myogenin cross, suggesting that the existence of residual fibers in myogenin-null mice is not due to the presence of MRF4. MRF4 expression also cannot account for the ability of myogenin-null myoblasts to differentiate in vitro. However, the combination of the MRF4-null mutation with the myogenin-null mutation results in a novel rib phenotype. This result suggests that MRF4 modifies the myogenin-null rib phenotype, and MRF4 and myogenin play redundant roles in rib development.^ MRF4 also shares dosage effects with MyoD during mouse development. (MyoD+/$-$;MRF4$-$/$-$)mice are fertile and viable, while (MyoD$-$/$-$;MRF4+/$-$) mice die between birth and two weeks after birth, and have a small skeletal structure. The double homozygous mice for MRF4 and MyoD mutations are embryonic lethal and die at around E10.5. These results suggest that MRF4 and MyoD share overlapping functions during mouse embryogenesis. ^

Use of cardiac glycosides for treatment of cancer: Determinants of cancer cell sensitivity

Cardiac glycoside compounds have traditionally been used to treat congestive heart failure. Recently, reports have suggested that cardiac glycosides may also be useful for treatment of malignant disease. Our research with oleandrin, a cardiac glycoside component of Nerium oleander, has shown it to be a potent inducer of human but not murine tumor cell apoptosis. Determinants of tumor sensitivity to cardiac glycosides were therefore studied in order to understand the species selective cytotoxic effects as well as explore differential sensitivity amongst a variety of human tumor cell lines. ^ An initial model system involved a comparison of human (BRO) to murine (B16) melanoma cells. Human BRO cells were found to express both the sensitive α3 as well as the less sensitive α1 isoform subunits of Na+,K +-ATPase while mouse B16 cells expressed only the α1 isoform. Drug uptake and inhibition of Na+,K+-ATPase activity were also different between BRO and B16 cells. Partially purified human Na+,K+-ATPase enzyme was inhibited by cardiac glycosides at a concentration that was 1000-fold less than that required to inhibit mouse B16 enzyme to the same extent. In addition, uptake of oleandrin and ouabain was 3–4 fold greater in human than murine cells. These data indicate that differential expression of Na+,K+-ATPase isoform composition in BRO and B16 cells as well as drug uptake and total enzyme activity may all be important determinants of tumor cell sensitivity to cardiac glycosides. ^ In a second model system, two in vitro cell culture model systems were investigated. The first consisted of HFU251 (low expression of Na+,K+-ATPase) and U251 (high Na+ ,K+-ATPase expression) cell lines. Also investigated were human BRO cells that had undergone stable transfection with the α1 subunit resulting in an increase in total Na+,K+-ATPase expression. Data derived from these model systems have indicated that increased expression of Na+,K+-ATPase is associated with an increased resistance to cardiac glycosides. Over-expression of Na +,K+-ATPase in tumor cells resulted in an increase of total Na+,K+-ATPase activity and, in turn, a decreased inhibition of Na+,K+-ATPase activity by cardiac glycosides. However, of interest was the observation that increased enzyme expression was also associated with an elevated basal level of glutathione (GSH) within cells. Both increased Na+,K+-ATPase activity and elevated GSH content appear to contribute to a delayed as well as diminished release of cytochrome c and caspase activation. In addition, we have noted an increased colony forming ability in cells with a high level of Na+,K+-ATPase expression. This suggests that Na+,K+-ATPase is actively involved in tumor cell growth and survival. ^

Gender associated risk factors of aortic aneurysms and dissections

Objectives. Predict who will develop a dissection. To create male and female prediction models using the risk factors: age, ethnicity, hypertension, high cholesterol, smoking, alcohol use, diabetes, heart attack, congestive heart failure, congenital and non-congenital heart disease, Marfan syndrome, and bicuspid aortic valve. ^ Methods. Using 572 patients diagnosed with aortic aneurysms, a model was developed for each of males and females using 80% of the data and then verified using the remaining 20% of the data. ^ Results. The male model predicted the probability of a male in having a dissection (p=0.076) and the female model predicted the probability of a female in having a dissection (p=0.054). The validation models did not support the choice of the developmental models. ^ Conclusions. The best models obtained suggested that those who are at a greater risk of having a dissection are males with non-congenital heart disease and who drink alcohol, and females with non-congenital heart disease and bicuspid aortic valve.^

A comparative analysis of CHIP Perinatal policy in twelve states

The purpose of this comparative analysis of CHIP Perinatal policy (42 CFR § 457) was to provide a basis for understanding the variation in policy outputs across the twelve states that, as of June 2007, implemented the Unborn Child rule. This Department of Health and Human Services regulation expanded in 2002 the definition of “child” to include the period from conception to birth, allowing states to consider an unborn child a “targeted low-income child” and therefore eligible for SCHIP coverage. ^ Specific study aims were to (1) describe typologically the structural and contextual features of the twelve states that adopted a CHIP Perinatal policy; (2) describe and differentiate among the various designs of CHIP Perinatal policy implemented in the states; and (3) develop a conceptual model that links the structural and contextual features of the adopting states to differences in the forms the policy assumed, once it was implemented. ^ Secondary data were collected from publicly available information sources to describe characteristics of states’ political system, health system, economic system, sociodemographic context and implemented policy attributes. I posited that socio-demographic differences, political system differences and health system differences would directly account for the observed differences in policy output among the states. ^ Exploratory data analysis techniques, which included median polishing and multidimensional scaling, were employed to identify compelling patterns in the data. Scaled results across model components showed that economic system was most closely related to policy output, followed by health system. Political system and socio-demographic characteristics were shown to be weakly associated with policy output. Goodness-of-fit measures for MDS solutions implemented across states and model components, in one- and two-dimensions, were very good. ^ This comparative policy analysis of twelve states that adopted and implemented HHS Regulation 42 C.F.R. § 457 contributes to existing knowledge in three areas: CHIP Perinatal policy, public health policy and policy sciences. First, the framework allows for the identification of CHIP Perinatal program design possibilities and provides a basis for future studies that evaluate policy impact or performance. Second, studies of policy determinants are not well represented in the health policy literature. Thus, this study contributes to the development of the literature in public health policy. Finally, the conceptual framework for policy determinants developed in this study suggests new ways for policy makers and practitioners to frame policy arguments, encouraging policy change or reform. ^

Use of light intensity, temperature, and humidity to verify exposure location

Research studies on the association between exposures to air contaminants and disease frequently use worn dosimeters to measure the concentration of the contaminant of interest. But investigation of exposure determinants requires additional knowledge beyond concentration, i.e., knowledge about personal activity such as whether the exposure occurred in a building or outdoors. Current studies frequently depend upon manual activity logging to record location. This study's purpose was to evaluate the use of a worn data logger recording three environmental parameters—temperature, humidity, and light intensity—as well as time of day, to determine indoor or outdoor location, with an ultimate aim of eliminating the need to manually log location or at least providing a method to verify such logs. For this study, data collection was limited to a single geographical area (Houston, Texas metropolitan area) during a single season (winter) using a HOBO H8 four-channel data logger. Data for development of a Location Model were collected using the logger for deliberate sampling of programmed activities in outdoor, building, and vehicle locations at various times of day. The Model was developed by analyzing the distributions of environmental parameters by location and time to establish a prioritized set of cut points for assessing locations. The final Model consisted of four "processors" that varied these priorities and cut points. Data to evaluate the Model were collected by wearing the logger during "typical days" while maintaining a location log. The Model was tested by feeding the typical day data into each processor and generating assessed locations for each record. These assessed locations were then compared with true locations recorded in the manual log to determine accurate versus erroneous assessments. The utility of each processor was evaluated by calculating overall error rates across all times of day, and calculating individual error rates by time of day. Unfortunately, the error rates were large, such that there would be no benefit in using the Model. Another analysis in which assessed locations were classified as either indoor (including both building and vehicle) or outdoor yielded slightly lower error rates that still precluded any benefit of the Model's use.^

Functional Characterization of AtxA, the Bacillus anthracis Virulence Regulator

Coordinated expression of virulence genes in Bacillus anthracis occurs via a multi-faceted signal transduction pathway that is dependent upon the AtxA protein. Intricate control of atxA gene transcription and AtxA protein function have become apparent from studies of AtxA-induced synthesis of the anthrax toxin proteins and the poly-D-glutamic acid capsule, two factors with important roles in B. anthracis pathogenesis. The amino-terminal region of the AtxA protein contains winged-helix (WH) and helix-turn-helix (HTH) motifs, structural features associated with DNA-binding. Using filter binding assays, I determined that AtxA interacted non-specifically at a low nanomolar affinity with a target promoter (Plef) and AtxA-independent promoters. AtxA also contains motifs associated with phosphoenolpyruvate: sugar phosphotransferase system (PTS) regulation. These PTS-regulated domains, PRD1 and PRD2, are within the central amino acid sequence. Specific histidines in the PRDs serve as sites of phosphorylation (H199 and H379). Phosphorylation of H199 increases AtxA activity; whereas, H379 phosphorylation decreases AtxA function. For my dissertation, I hypothesized that AtxA binds target promoters to activate transcription and that DNA-binding activity is regulated via structural changes within the PRDs and a carboxy-terminal EIIB-like motif that are induced by phosphorylation and ligand binding. I determined that AtxA has one large protease-inaccessible domain containing the PRDs and the carboxy-terminal end of the protein. These results suggest that AtxA has a domain that is distinct from the putative DNA-binding region of the protein. My data indicate that AtxA activity is associated with AtxA multimerization. Oligomeric AtxA was detected when co-affinity purification, non-denaturing gel electrophoresis, and bis(maleimido)hexane (BMH) cross-linking techniques were employed. I exploited the specificity of BMH for cysteine residues to show that AtxA was cross-linked at C402, implicating the carboxy-terminal EIIB-like region in protein-protein interactions. In addition, higher amounts of the cross-linked dimeric form of AtxA were observed when cells were cultured in conditions that promote toxin gene expression. Based on the results, I propose that AtxA multimerization requires the EIIB-like motif and multimerization of AtxA positively impacts function. I investigated the role of the PTS in the function of AtxA and the impact of phosphomimetic residues on AtxA multimerization. B. anthracis Enzyme I (EI) and HPr did not facilitate phosphorylation of AtxA in vitro. Moreover, markerless deletion of ptsHI in B. anthracis did not perturb AtxA function. Taken together, these results suggest that proteins other than the PTS phosphorylate AtxA. Point mutations mimicking phosphohistidine (H to D) and non-phosphorylated histidine (H to A) were tested for an impact on AtxA activity and multimerization. AtxA H199D, AtxA H199A, and AtxA H379A displayed multimerization phenotypes similar to that of the native protein, whereas AtxA H379D was not susceptible to BMH cross-linking or co-affinity purification with AtxA-His. These data suggest that phosphorylation of H379 may decrease AtxA activity by preventing AtxA multimerization. Overall, my data support the following model of AtxA function. AtxA binds to target gene promoters in an oligomeric state. AtxA activity is increased in response to the host-related signal bicarbonate/CO2 because this signal enhances AtxA multimerization. In contrast, AtxA activity is decreased by phosphorylation at H379 because multimerization is inhibited. Future studies will address the interplay between bicarbonate/CO2 signaling and phosphorylation on AtxA function.

Endogenous nitric oxide regulates p53 signaling and DNA damage-induced apoptosis in melanoma cells

Nitric oxide is involved in a multitude of processes including regulation of vascular tone, neurotransmission, immunity, and cancer. Evidence suggests that nitric oxide exhibits anti-apoptotic activity in melanoma cells. Our laboratory showed that tumor expression of inducible nitric oxide synthase correlated strongly with poor survival in stage III and IV melanoma patients, suggesting an antagonistic role for nitric oxide in melanoma response to therapy. Therefore, the hypothesis that endogenously produced nitric oxide antagonizes chemotherapy-induced apoptosis was formed. Using cisplatin as a model for DNA damage in melanoma cell lines, the capacity of nitric oxide to regulate cell growth and apoptotic responses to cisplatin treatment was examined. The depletion of endogenously generated nitric oxide resulted in changes in cell cycle regulation and enhanced cisplatin-induced apoptosis in melanoma cells. Since nitric oxide was shown to be involved in the regulation of p53 stability, conformation and DNA binding activity, whether signaling through wild-type p53 in melanoma cells is regulated by nitric oxide was tested. Cisplatin-induced p53 accumulation and p21Waf1/Cip1/Sdi1 expression in nitric oxide-depleted melanoma cells were found to be strongly suppressed. When p53 binding to the p21Waf1/Cip1/Sdi1 promoter was examined, it was found that nitric oxide depletion significantly reduced the cisplatin-induced formation of p53-DNA complexes. These results suggest that nitric oxide is required for activation of wild-type p53 after DNA damage in melanoma cells. Finally, whether signaling through p53 controls melanoma response to DNA damage was examined. Transfection of a plasmid containing a dominant negative form of mutated p53 inhibited p21 Waf1/Cip1/Sdi1 expression and concomitantly enhanced apoptosis after cisplatin treatment. These data suggest that the induction of wild-type p53 protects melanoma cells against DNA damage via the up-regulation of p21 Waf1/Cip1/Sdi1. Together, these data strongly support the model that endogenous nitric oxide is required for p53 activation and p21Waf1/Cip1/Sdi1 expression after DNA damage, which can enhance melanoma resistance to therapy. Thus, in context of melanoma cells with wild-type p53 , low levels of endogenous constitutively-produced nitric oxide appear to facilitate the activation of p53 in response to DNA damage, thereby allowing for cell cycle arrest via p21Waf1/Cip1/Sdi1 induction, adequate DNA repair, and ultimately enhanced resistance to apoptosis. ^