THE ALCOHOL TREATMENT PROFILE SYSTEM: ITS DEVELOPMENT AND AN EVALUATION OF ITS CAPABILITIES

The development of the Alcohol Treatment Profile System (ATPS) was described and an evaluation of its perceived value by various States was undertaken, The ATPS is a treatment needs assessment tool based on the unification of several large national epidemiologic and treatment data sets. It was developed by the National Institute on Alcohol Abuse and Alcoholism (NIAAA) and responsibility for its creation was given to the NIAAA's Alcohol Epidemiologic Data System (AEDS). The ATPS merges county-level measures of alcohol problem prevalence (the specially constructed AEDS Alcohol Problem Indicators), indicating "need" for treatment, and treatment utilization measures (the National Drug and Alcohol Treatment Utilization Survey), indicating treatment "demand." The capabilities of the ATPS in the unique planning and policy-making settings of several States were evaluated.^

Motivational interviewing and feedback for college drinkers: Handling missing values with complete case analysis and multiple imputation

Objective: In this secondary data analysis, three statistical methodologies were implemented to handle cases with missing data in a motivational interviewing and feedback study. The aim was to evaluate the impact that these methodologies have on the data analysis. ^ Methods: We first evaluated whether the assumption of missing completely at random held for this study. We then proceeded to conduct a secondary data analysis using a mixed linear model to handle missing data with three methodologies (a) complete case analysis, (b) multiple imputation with explicit model containing outcome variables, time, and the interaction of time and treatment, and (c) multiple imputation with explicit model containing outcome variables, time, the interaction of time and treatment, and additional covariates (e.g., age, gender, smoke, years in school, marital status, housing, race/ethnicity, and if participants play on athletic team). Several comparisons were conducted including the following ones: 1) the motivation interviewing with feedback group (MIF) vs. the assessment only group (AO), the motivation interviewing group (MIO) vs. AO, and the intervention of the feedback only group (FBO) vs. AO, 2) MIF vs. FBO, and 3) MIF vs. MIO.^ Results: We first evaluated the patterns of missingness in this study, which indicated that about 13% of participants showed monotone missing patterns, and about 3.5% showed non-monotone missing patterns. Then we evaluated the assumption of missing completely at random by Little's missing completely at random (MCAR) test, in which the Chi-Square test statistic was 167.8 with 125 degrees of freedom, and its associated p-value was p=0.006, which indicated that the data could not be assumed to be missing completely at random. After that, we compared if the three different strategies reached the same results. For the comparison between MIF and AO as well as the comparison between MIF and FBO, only the multiple imputation with additional covariates by uncongenial and congenial models reached different results. For the comparison between MIF and MIO, all the methodologies for handling missing values obtained different results. ^ Discussions: The study indicated that, first, missingness was crucial in this study. Second, to understand the assumptions of the model was important since we could not identify if the data were missing at random or missing not at random. Therefore, future researches should focus on exploring more sensitivity analyses under missing not at random assumption.^

Social and economically influenced factors associated with breast cancer treatment among blacks and whites. A qualitative study

Background: Despite the fact breast cancer mortality has declined in recent years, the mortality gap between African-American and white women continues to grow. A part of these disparities may be due to either inadequately following guideline recommended treatment or treatment delays. Although racial/ethnic disparities in breast cancer treatment and mortality have been extensively documented, the mechanisms by which these disparities occur remain largely unknown. Social and economically influenced factors such as choice of providers, distance of treatment facility, transportation, health insurance, and job related factors may also contribute to racial differences in breast cancer treatment; however, these have not been explored sufficiently in previous research. ^ Aim: The purpose of this study was to evaluate the role of social and economically influenced factors that may contribute to racial disparities in the receipt of guideline recommended treatment using the Health Disparities Model. ^ Methods: In this qualitative comparative case study, data from medical records, structured telephone interviews, and in-depth patient interviews explored the relationship between social and economically influenced factors and breast cancer treatment. Transcripts were analyzed using standard iterative process followed by immersion/crystallization approach. Participants were identified through rapid ascertainment from the New Jersey Cancer Registry and this study included 8 African-American and 8 white women aged 20-85 years old diagnosed with early stage breast cancer between 2003-2007, matched on age, race, and physician recommended treatment. ^ Results: We did not identify differences by race in factors that influenced the receipt of breast cancer treatment among the individual matched pairs. Four prominent themes emerged among women from both groups who experienced similar difficulties influenced by socioeconomic factors. Choice of providers, distance of facility, health insurance, and job related factors all contributed to breast cancer treatment experience among these women. Conclusions: We identified common issues influenced by socioeconomic factors and its relation with the receipt of breast cancer treatment, regardless of race. However, more research is needed to study the additional factors conveying racial differences affecting breast cancer treatment. ^

Assessing the patterns of colorectal cancer treatment, adherence to treatment guidelines and survival in Texas

Colorectal cancer (CRC) is the third leading cancer in both incidence and mortality in Texas. This study investigated the adherence of CRC treatment to standard treatment guidelines and the association between standard treatment and CRC survival in Texas. The author used Texas Cancer Registry (TCR) and Medicare linked data to study the CRC treatment patterns and factors associated with standard treatment in patients who were more than 65 years old and were diagnosed in 2001 through 2007. We also determined whether adherence to standard treatment affect patients' survival. Multiple logistic regression and Cox regression analysis were used to analyze our data. Both regression models are adjusted for demographic characteristics and tumor characteristics. We found that for the 3977 regional colon cancer patients 80 years old or younger, 60.2% of them received chemotherapy, in adherence to the recommended treatment guidelines. People with younger age, female gender, higher education and lower comorbidity score are more likely adherent to this surgery guideline. Patients' adherence to chemotherapy in this cohort have better survival compared to those who are not (HR: 0.76, 95% CI: 0.68-0.84). For the 12709 colon cancer patients treated with surgery, 49.3% have more than 12 lymph nodes removed, in adherence to the treatment guidelines. People with younger age, female gender, higher education, regional stage, lager tumor size and lower comorbidity score are more likely to adherent to this surgery guideline. Patients with more than 12 lymph nodes removed in this cohort have better survival (HR: 0.86, 95% CI: 0.82-0.91). For the 1211 regional rectal cancer patients 80 years old or younger, 63.2% of them were adherent to radiation treatment. People with smaller tumor size and lower comorbidity score are more likely to adherent to this radiation guideline. There is no significant survival difference between radiation adherent patients and non-adherent patients (HR: 1.03, 95% CI: 0.82-1.29). For the 1122 regional rectal cancer patients 80 years old or younger who were treated with surgery, 76.0% of them received postoperative chemotherapy, in adherence to the treatment guidelines. People with younger age and smaller comorbidity score are related with higher adherence rate. Patients adherent with adjuvant chemotherapy in this cohort have better survival than those were not adherent (HR: 0.60, 95% CI: 0.45-0.79).^

Potential roles for bcl-2 in the pathogenesis, progression, and treatment of prostate cancer

The most common molecular alterations observed in prostate cancer are increased bcl-2 protein expression and mutations in p53. Understanding the molecular alterations associated with prostate cancer are critical for successful treatment and designing new therapeutic interventions. Hormone-ablation therapy remains the most effective nonsurgical treatment; however, most patients will relapse with hormone-independent, refractory disease. This study addresses how hormone-ablation therapy may increase bcl-2, develops a transgenic model to elucidate the role of bcl-2 multistep prostate carcinogenesis, and assesses how bcl-2 may confer resistance to cell death induction using adenoviral wild-type p53 gene therapy. ^ Two potential androgen response elements were identified in the bcl-2 promoter. Bcl-2 promoter luciferase constructs were transfected into the hormone- sensitive LNCaP prostate cell line. In the presence of dihydrotestosterone, the activity of one bcl-2 promoter luciferase construct was repressed 40% compared to control cells grown in charcoal-stripped serum. Additionally, it was demonstrated that both bcl-2 mRNA and protein were downregulated in the LNCaP cells grown in the presence DHT. This suggests that DHT represses bcl-2 expression through possible direct and indirect mechanisms and that hormone-ablation therapy may actually increases bcl-2 protein. ^ To determine the role of bcl-2 in prostate cancer progression in vivo, probasin-bcl-2 mice were generated where human bcl-2 was targeted to the prostate. Increased bcl-2 expression rendered the ventral prostate more resistant to apoptosis induction following castration. When the probasin-bcl-2 mice were crossed with TRAMP mice, the latency to tumor formation was decreased. The expression of bcl-2 in the double transgenic mice did not affect the incidence of metastases. The double transgenic model will facilitate the study of in vivo effects of specific genetic lesions during the pathogenesis of prostate cancer. ^ The effects of increased bcl-2 protein on wild-type adenoviral p53-mediated cell death were determined in prostatic cell lines. Increased bcl-2 protected PC3 and DU145 cell lines, which possess mutant p53, from p53-mediated cell death and reductions in cell viability. Bcl-2 did not provide the same protective effect in LNCaP cell line, which expresses wild-type p53. This suggests that the ability of bcl-2 to protect against p53-mediated cell death is dependent upon the endogenous status of p53. ^

Control by ATR-FTIR of surface treatment of cork stoppers and its effect on their mechanical performance

Fourier transform infrared (FTIR) spectroscopy was applied to determine the type of surface treatment and dose used on cork stoppers and to predict the friction between stopper and bottleneck. Agglomerated cork stoppers were finished with two different doses and using two surface treatments: P (paraffin and silicone), 15 and 25 mg/stopper, and S (only silicone), 10 and 15 mg/stopper. FTIR spectra were recorded at five points for each stopper by attenuated total reflectance (ATR). Absorbances at 1,010, 2,916, and 2,963 cm -1 were obtained in each spectrum. Discriminant analysis techniques allowed the treatment, and dose applied to each stopper to be identified from the absorbance values. 91.2% success rates were obtained from individual values and 96.0% from the mean values of each stopper. Spectrometric data also allowed treatment homogeneity to be determined on the stopper surface, and a multiple regression model was used to predict the friction index (If = Fe/Fc) (R 2 = 0.93)

Data mining applied to the cognitive rehabilitation of patients with acquired brain injury

Acquired brain injury (ABI) is one of the leading causes of death and disability in the world and is associated with high health care costs as a result of the acute treatment and long term rehabilitation involved. Different algorithms and methods have been proposed to predict the effectiveness of rehabilitation programs. In general, research has focused on predicting the overall improvement of patients with ABI. The purpose of this study is the novel application of data mining (DM) techniques to predict the outcomes of cognitive rehabilitation in patients with ABI. We generate three predictive models that allow us to obtain new knowledge to evaluate and improve the effectiveness of the cognitive rehabilitation process. Decision tree (DT), multilayer perceptron (MLP) and general regression neural network (GRNN) have been used to construct the prediction models. 10-fold cross validation was carried out in order to test the algorithms, using the Institut Guttmann Neurorehabilitation Hospital (IG) patients database. Performance of the models was tested through specificity, sensitivity and accuracy analysis and confusion matrix analysis. The experimental results obtained by DT are clearly superior with a prediction average accuracy of 90.38%, while MLP and GRRN obtained a 78.7% and 75.96%, respectively. This study allows to increase the knowledge about the contributing factors of an ABI patient recovery and to estimate treatment efficacy in individual patients.

Hydromorphic change and biotic response challenge efficient river rehabilitation

From an extensive literature review and meta-analyses, this study has i) identified the most important hydromorphological process related to river degradation and rehabilitation, ii) conceptually linked it to evolutionary and functional response chains of aquatic biota, and iii) provided empirical evidence and ecological data for the respective hydromorphological requirements, preferences and limitations of aquatic plants, benthic invertebrates, lampreys, and freshwater fishes.

Retinoic acid (RA) and As2O3 treatment in transgenic models of acute promyelocytic leukemia (APL) unravel the distinct nature of the leukemogenic process induced by the PML-RARα and PLZF-RARα oncoproteins

Acute promyelocytic leukemia (APL) is associated with chromosomal translocations always involving the RARα gene, which variably fuses to one of several distinct loci, including PML or PLZF (X genes) in t(15;17) or t(11;17), respectively. APL in patients harboring t(15;17) responds well to retinoic acid (RA) treatment and chemotherapy, whereas t(11;17) APL responds poorly to both treatments, thus defining a distinct syndrome. Here, we show that RA, As2O3, and RA + As2O3 prolonged survival in either leukemic PML-RARα transgenic mice or nude mice transplanted with PML-RARα leukemic cells. RA + As2O3 prolonged survival compared with treatment with either drug alone. In contrast, neither in PLZF-RARα transgenic mice nor in nude mice transplanted with PLZF-RARα cells did any of the three regimens induce complete disease remission. Unexpectedly, therapeutic doses of RA and RA + As2O3 can induce, both in vivo and in vitro, the degradation of either PML-RARα or PLZF-RARα proteins, suggesting that the maintenance of the leukemic phenotype depends on the continuous presence of the former, but not the latter. Our findings lead to three major conclusions with relevant therapeutic implications: (i) the X-RARα oncoprotein directly determines response to treatment and plays a distinct role in the maintenance of the malignant phenotype; (ii) As2O3 and/or As2O3 + RA combination may be beneficial for the treatment of t(15;17) APL but not for t(11;17) APL; and (iii) therapeutic strategies aimed solely at degrading the X-RARα oncoprotein may not be effective in t(11;17) APL.

Phorbol ester treatment inhibits phosphatidylinositol 3-kinase activation by, and association with, CD28, a T-lymphocyte surface receptor.

CD28 is a costimulatory receptor found on the surface of most T lymphocytes. Engagement of CD28 induces interleukin 2 (IL-2) production and cell proliferation when combined with an additional signal such as treatment with phorbol ester, an activator of protein kinase C. Recent studies have established that after CD28 ligation, the cytoplasmic domain of CD28 can bind to the 85-kDa subunit of phosphatidylinositol 3-kinase (PI3 kinase). There is a concomitant increase in PI3 lipid kinase activity that may be important in CD28 signaling. Despite the requirement of phorbol 12-myristate 13-acetate (PMA) for effector function, we have found, however, that treatment of Jurkat T cells with the phorbol ester PMA dramatically inhibits (i) the association of PI3 kinase with CD28, (ii) the ability of p85 PI3 kinase to be immunoprecipitated by anti-phosphotyrosine antibodies, and (iii) the induction of PI3 kinase activity after stimulation of the cells with the anti-CD28 monoclonal antibody 9.3. These changes occur within minutes of PMA treatment and are persistent. In addition, we have found that wortmannin, a potent inhibitor of PI3 kinase, does not interfere with the induction of IL-2 after stimulation of Jurkat T cells with anti-CD28 monoclonal antibody and PMA. We conclude that PI3 kinase activity may not be required for CD28-dependent IL-2 production from Jurkat T cells in the presence of PMA.

Examining the Impact of Child Psychologists' Stigmatization of Parents on Treatment Outcomes Through a Developmental Lens

The purpose of this paper is to examine how child psychologists' specialized training inhuman development may make them more prone to stigmatize the parents of their young clients. The stigmatization of parents may lead to fewer parents seeking treatment for their children and to poorer treatment outcomes for those who work with a child psychologist. The process of stigmatization is summarized to provide context for the method through which parents receive stigma. A commonly used theory of child development, Erik Erikson's stages of ego development, is outlined to provide background on how child psychologists may interpret and evaluate a child'sdevelopment. Child psychologists' may identify parenting practices that seem to hinder or stunt children's emotional development, which would make the psychologist more aptto stigmatize and isolate parents from the treatment process. To demonstrate the unique ways in which a child psychologist may stigmatize parents of children at different developmental stages two case studies are included. Finally, a theoretical model of treatment is described that may be more inclusive, and less stigmatizing of parents. This model outlines how the parents' concerns about and observations of their children should be validated and reflected in the treatment process. This treatment modality would allow for child psychologists to more actively involve parents in treatment and provide more education and support around their children's unique emotional development needs. Through this treatment model and child psychologists' awareness of and attempts to reduce the stigmatization of parents, treatment outcomes for young clients may improve.

The Eating Disorder Inventory-III Maturity Fears Scale and Treatment Outcome in an Intensive Outpatient Eating Disorder Program

Eating disorders present a significant physical and psychological problem with a prevalence rate of approximately six percent in the United States. Despite the extensive literature, identifying the consistent risk factors for predicting the course of treatment in eating disorders remains difficult. The present study explores the use of a standardized assessment, using the consistently validated Eating Disorder Inventory-III (EDI-3), in predicting treatment outcome. Specifically, the study investigates the particular scale of Maturity Fears (MF) on the EDI-3, hypothesizing that higher scores on the MF scale would predict lower rates of recovery and treatment completion. The participants were 52 eating disorder patients (19 AN, 18 BN, and 15 EDNOS), consecutively admitted to a five-month long intensive outpatient program (IOP). The participants completed an EDI-3 self-report at pre and post treatment, and their score on the MF scale did not show a significant predictive relationship to treatment completion or change in symptoms, as measured by the Eating Disorder Risk Composite (EDRC) scale on the EDI-3. This finding primarily suggests that maturity fears are not a significant predictive factor in an outpatient setting with adults, as compared to previous studies that found a relationship between maturity fears and treatment outcome, primarily with adolescent and inpatient populations.

Some examples of modeling in chemical engineering: thermal treatment of polymers, phase equilibrium calculations and process design

Presentation submitted to PSE Seminar, Chemical Engineering Department, Center for Advanced Process Design-making (CAPD), Carnegie Mellon University, Pittsburgh (USA), October 2012.

Reduction of emerging micropollutants, organic matter, nutrients and salinity from real wastewater by combined MBR–NF/RO treatment

To study the possibility of producing better water quality from municipal wastewater, a membrane bioreactor (MBR) pilot plant with flat sheet (FS) and hollow fiber (HF) membranes coupled with another pilot plant equipped with nanofiltration (NF)/reverse osmosis (RO) membranes were operated to treat municipal wastewater from the wastewater treatment plant (WWTP) Rincón de León, Alicante (Spain). This study was focused on improving the quality of the permeate obtained from the MBR process when complemented by NF or RO stages with respect to salinity, organic matter and nutrients. Furthermore, the removal efficiencies of 10 EMPs were evaluated, comparing the reductions achieved between the wastewater treatment by MBR (adsorption to sludge and biodegradation) and the later treatment using NF or RO (mainly size exclusion). The results showed that the high quality of water was obtained which is appropriate for reuse with salinity removal efficiencies higher than 97%, 96% for total organic carbon (TOC), 91% for nitrates View the MathML sourceNO3- and 99% for total phosphorous (TP). High removal efficiencies were obtained for the majority of the analyzed EMP compounds.

Saint Mathew Law and Bonini Paradox in Textual Theory of Complex Models

The mathematical models of the complex reality are texts belonging to a certain literature that is written in a semi-formal language, denominated L(MT) by the authors whose laws linguistic mathematics have been previously defined. This text possesses linguistic entropy that is the reflection of the physical entropy of the processes of real world that said text describes. Through the temperature of information defined by Mandelbrot, the authors begin a text-reality thermodynamic theory that drives to the existence of information attractors, or highly structured point, settling down a heterogeneity of the space text, the same one that of ontologic space, completing the well-known law of Saint Mathew, of the General Theory of Systems and formulated by Margalef saying: “To the one that has more he will be given, and to the one that doesn't have he will even be removed it little that it possesses.