Comparison of Linear Functions in Middle Grades Textbooks from Singapore and the United States

Many U.S. students do not perform well on mathematics assessments with respect to algebra topics such as linear functions, a building-block for other functions. Poor achievement of U.S. middle school students in this topic is a problem. U.S. eighth graders have had average mathematics scores on international comparison tests such as Third International Mathematics Science Study, later known as Trends in Mathematics and Science Study, (TIMSS)-1995, -99, -03, while Singapore students have had highest average scores. U.S. eighth grade average mathematics scores improved on TIMMS-2007 and held steady onTIMMS-2011. Results from national assessments, PISA 2009 and 2012 and National Assessment of Educational Progress of 2007, 2009, and 2013, showed a lack of proficiency in algebra. Results of curriculum studies involving nations in TIMSS suggest that elementary textbooks in high-scoring countries were different than elementary textbooks and middle grades texts were different with respect to general features in the U.S. The purpose of this study was to compare treatments of linear functions in Singapore and U.S. middle grades mathematics textbooks. Results revealed features currently in textbooks. Findings should be valuable to constituencies who wish to improve U.S. mathematics achievement. Portions of eight Singapore and nine U.S. middle school student texts pertaining to linear functions were compared with respect to 22 features in three categories: (a) background features, (b) general features of problems, and (c) specific characterizations of problem practices, problem-solving competency types, and transfer of representation. Features were coded using a codebook developed by the researcher. Tallies and percentages were reported. Welch's t-tests and chi-square tests were used, respectively, to determine whether texts differed significantly for the features and if codes were independent of country. U.S. and Singapore textbooks differed in page appearance and number of pages, problems, and images. Texts were similar in problem appearance. Differences in problems related to assessment of conceptual learning. U.S. texts contained more problems requiring (a) use of definitions, (b) single computation, (c) interpreting, and (d) multiple responses. These differences may stem from cultural differences seen in attitudes toward education. Future studies should focus on density of page, spiral approach, and multiple response problems.

Representation of people of color in the nineteenth century slavery novel in Cuba and Brazil

This dissertation explores the similarities and differences which characterize the depiction of people of color in certain representative nineteenth century Cuban and Brazilian slavery novels as a function of the authorial approach of each territory's literary tradition toward the issues of slavery, racial prejudice, and people of color. The selected texts, derived from the peak periods in slavery literature of each territory, include Francisco , by Anselmo Snárez y Romero; Sab, by Gertrudis Gómez de Avellaneda; Cecilia Valdés , by Cirilo Villaverde; A escrava Isaura, by Bernardo Guimarães; O mulato, by Aluísio Azevedo; and Bom-Crioulo, by Adolfo Caminha. While the present study explores the enslavement, abuse, and discrimination of people of color as a consequence of a deep-seated discourse of power, privilege and racial superiority, it focuses more extensively on the representation of people of color, particularly in their capacity to constructively appropriate the cultural values of the white dominant group and recognize their identity as ambiguous. ^ Said's theories of Orientalist discourse and geography and formation as well as Dube's perspective on subaltern-oriented studies provide a theoretical framework for exploring the response of slavery writers whose common exposure to slavery but dissimilar socio-political contexts generate some startling findings. Crafted within a period of political repression, fear of black revolt, factional in-fighting as well as strong socioeconomic ties to the slaveholding class, the Cuban texts generally fashioned an approach to slavery as one marked by moderation, reform, and cultural counter discourse and consequently depict people of color with a more passive but culturally authentic outlook. On the other hand, the Brazilian response to the issue of slavery, steeped in an ideological amalgam of liberalism, positivism, republicanism, and abolitionism, is characterized by overt opposition to slavery and a representation of people of color that is less concerned with cross-cultural input but reclaims their humanity as highly educable and socially mobile persons in search of greater freedoms. Ultimately, there is a shared message of higher significance couched in the worthwhile mission of raising slaves to the level of men. ^

The representation of motherhood in contemporary Catalan fiction

This dissertation analyzes four twenty-first-century Catalan novels which present the complex positions occupied by mothers in the last seven decades. Its conceptual framework posits motherhood as both a changing social construction and a political institution in a constant state of flux. In Inma Monsó´s Todo un carácter (2001), Eva Piquer´s Una victoria diferente (2002), Carme Riera´s La mitad del alma (2004), and Najat El Hachmi´s El último patriarca (2008) motherhood is explored as a metaphorical act, a gender-constructing experience, as well as the locus of expression with regard to gender and power relations. During the dictatorship of Francisco Franco (1939–1975), the majority of women were excluded from public spaces, and forced to stay home to care for their husbands and children. Furthermore, the state criminalized abortion, made contraception and divorce illegal, and promoted an ideal of femininity based on silence, sacrifice, and self-denial. The political changes of the late 1970s allowed women greater personal autonomy, and many women writers began to challenge stereotypical views of women’s social roles. Yet in the 70s and 80s, the narratives of Esther Tusquets, Ana María Moix, and Montserrat Roig represent the mother as a repressive figure whom the daughter must reject in order to liberate herself and regain her voice. It is not until the 90s when the novelists Mercedes Abad, Maruja Torres, Carme Riera, Imma Monsó, Eva Piquer, and María Barbal rehumanize the mother figure, recovering their matrilineal heritage. However, far from suggesting a unified trend in representations of motherhood in Catalan fiction, the diverse points of view of the novels under discussion here reveal that differences in attitudes among women authors about mother-daughter conflict are far from resolved. The theoretical background for this dissertation draws mainly on the work of Adrienne Rich, Nancy Chodorow, and Julia Kristeva. It includes psychoanalytic studies as well as sociologically based essays by Anna López Puig, Amparo Acereda, Jacqueline Cruz, Barbara Zecchi, Ángeles de la Concha, and Raquel Osborne, among others.

A Panel Discussion on Representation of Violence in the Cinema

Lecture on the topic of the representation of violence in motion pictures, presented at Books & Books Coral Gables on January 29, 2013.

A Critique of the Representation of Violence in American Literature:

The purpose of this thesis was to draw new insights on Thomas Berger’s classic American novel, Little Big Man, and his representation of fictional violence that is a substantial aspect of any text on the Indian Wars and “Custer’s Last Stand”. History’s major world wars led to shifts in the political climate and a noted change in the way that violence was represented in the arts. Historical, fictional, and cinematic treatments of “Custer’s Last Stand” and violence were each considered in relation to the text. Berger's version of the famed story is a revision of history that shows the protagonist as a dual-member of two violent societies. The thesis concluded that Berger’s updated American legends and unique “white renegade” character led to a representation of violence that spoke to the current state of affairs in 1964 when the world was becoming much more hostile and chaotic place.

An investigation of location effect on trip production using artificial neural networks

As traffic congestion exuberates and new roadway construction is severely constrained because of limited availability of land, high cost of land acquisition, and communities' opposition to the building of major roads, new solutions have to be sought to either make roadway use more efficient or reduce travel demand. There is a general agreement that travel demand is affected by land use patterns. However, traditional aggregate four-step models, which are the prevailing modeling approach presently, assume that traffic condition will not affect people's decision on whether to make a trip or not when trip generation is estimated. Existing survey data indicate, however, that differences exist in trip rates for different geographic areas. The reasons for such differences have not been carefully studied, and the success of quantifying the influence of land use on travel demand beyond employment, households, and their characteristics has been limited to be useful to the traditional four-step models. There may be a number of reasons, such as that the representation of influence of land use on travel demand is aggregated and is not explicit and that land use variables such as density and mix and accessibility as measured by travel time and congestion have not been adequately considered. This research employs the artificial neural network technique to investigate the potential effects of land use and accessibility on trip productions. Sixty two variables that may potentially influence trip production are studied. These variables include demographic, socioeconomic, land use and accessibility variables. Different architectures of ANN models are tested. Sensitivity analysis of the models shows that land use does have an effect on trip production, so does traffic condition. The ANN models are compared with linear regression models and cross-classification models using the same data. The results show that ANN models are better than the linear regression models and cross-classification models in terms of RMSE. Future work may focus on finding a representation of traffic condition with existing network data and population data which might be available when the variables are needed to in prediction.

Electronic Channels of Distributions: Challenges and Solutions for Hotel Operators

This paper addresses the issues of hotel operators identifying effective means of allocating rooms through various electronic channels of distribution. Relying upon the theory of coercive isomorphism, a think tank was constructed to identify and define electronic channels of distribution currently being utilized in the hotel industry. Through two full-day focus groups consisting of key hotel electives and industry practitioners, distribution channels wen identified as were challenges and solutions associated with each

Electronic Channels of Distribution: Challenges and Solutions for Hotel Operators

This paper addresses the issues of hotel operators identifying effective means of allocating rooms through various electronic channels of distribution. Relying upon the theory of coercive isomorphism, a think tank was constructed to identify and define electronic channels of distribution currently being utilized in the hotel industry. Through two full-day focus groups consisting of key hotel executives and industry practitioners, distribution channels were identified as were challenges and solutions associated with each.

Chlorine contribution to quantitative structure and activity relationship models of disinfection by -products' quantum chemical descriptors and toxicities

Quantitative Structure-Activity Relationship (QSAR) has been applied extensively in predicting toxicity of Disinfection By-Products (DBPs) in drinking water. Among many toxicological properties, acute and chronic toxicities of DBPs have been widely used in health risk assessment of DBPs. These toxicities are correlated with molecular properties, which are usually correlated with molecular descriptors. The primary goals of this thesis are: (1) to investigate the effects of molecular descriptors (e.g., chlorine number) on molecular properties such as energy of the lowest unoccupied molecular orbital (E LUMO) via QSAR modelling and analysis; (2) to validate the models by using internal and external cross-validation techniques; (3) to quantify the model uncertainties through Taylor and Monte Carlo Simulation. One of the very important ways to predict molecular properties such as ELUMO is using QSAR analysis. In this study, number of chlorine (NCl ) and number of carbon (NC) as well as energy of the highest occupied molecular orbital (EHOMO) are used as molecular descriptors. There are typically three approaches used in QSAR model development: (1) Linear or Multi-linear Regression (MLR); (2) Partial Least Squares (PLS); and (3) Principle Component Regression (PCR). In QSAR analysis, a very critical step is model validation after QSAR models are established and before applying them to toxicity prediction. The DBPs to be studied include five chemical classes: chlorinated alkanes, alkenes, and aromatics. In addition, validated QSARs are developed to describe the toxicity of selected groups (i.e., chloro-alkane and aromatic compounds with a nitro- or cyano group) of DBP chemicals to three types of organisms (e.g., Fish, T. pyriformis, and P.pyosphoreum) based on experimental toxicity data from the literature. The results show that: (1) QSAR models to predict molecular property built by MLR, PLS or PCR can be used either to select valid data points or to eliminate outliers; (2) The Leave-One-Out Cross-Validation procedure by itself is not enough to give a reliable representation of the predictive ability of the QSAR models, however, Leave-Many-Out/K-fold cross-validation and external validation can be applied together to achieve more reliable results; (3) E LUMO are shown to correlate highly with the NCl for several classes of DBPs; and (4) According to uncertainty analysis using Taylor method, the uncertainty of QSAR models is contributed mostly from NCl for all DBP classes.

Chlorine Contribution to Quantitative Structure and Activity Relationship Models of Disinfection By-Products' Quantum Chemical Descriptors and Toxicities

Quantitative Structure-Activity Relationship (QSAR) has been applied extensively in predicting toxicity of Disinfection By-Products (DBPs) in drinking water. Among many toxicological properties, acute and chronic toxicities of DBPs have been widely used in health risk assessment of DBPs. These toxicities are correlated with molecular properties, which are usually correlated with molecular descriptors. The primary goals of this thesis are: 1) to investigate the effects of molecular descriptors (e.g., chlorine number) on molecular properties such as energy of the lowest unoccupied molecular orbital (ELUMO) via QSAR modelling and analysis; 2) to validate the models by using internal and external cross-validation techniques; 3) to quantify the model uncertainties through Taylor and Monte Carlo Simulation. One of the very important ways to predict molecular properties such as ELUMO is using QSAR analysis. In this study, number of chlorine (NCl) and number of carbon (NC) as well as energy of the highest occupied molecular orbital (EHOMO) are used as molecular descriptors. There are typically three approaches used in QSAR model development: 1) Linear or Multi-linear Regression (MLR); 2) Partial Least Squares (PLS); and 3) Principle Component Regression (PCR). In QSAR analysis, a very critical step is model validation after QSAR models are established and before applying them to toxicity prediction. The DBPs to be studied include five chemical classes: chlorinated alkanes, alkenes, and aromatics. In addition, validated QSARs are developed to describe the toxicity of selected groups (i.e., chloro-alkane and aromatic compounds with a nitro- or cyano group) of DBP chemicals to three types of organisms (e.g., Fish, T. pyriformis, and P.pyosphoreum) based on experimental toxicity data from the literature. The results show that: 1) QSAR models to predict molecular property built by MLR, PLS or PCR can be used either to select valid data points or to eliminate outliers; 2) The Leave-One-Out Cross-Validation procedure by itself is not enough to give a reliable representation of the predictive ability of the QSAR models, however, Leave-Many-Out/K-fold cross-validation and external validation can be applied together to achieve more reliable results; 3) ELUMO are shown to correlate highly with the NCl for several classes of DBPs; and 4) According to uncertainty analysis using Taylor method, the uncertainty of QSAR models is contributed mostly from NCl for all DBP classes.