Whose Fault Is it Anyway? Political Orientation, Attributions of Responsibility, and Support for the War in Iraq

Political orientation has been shown to be a strong predictor of attitudes toward war. Specifically, political conservatism has been associated with increased support for war and with decreased attribution of responsibility for war to one's own government. The present research aims to test whether the relationship between political orientation and support for the war in Iraq is mediated by attributions of government responsibility. In Study 1, survey data showed that the relationship between political orientation and support for the Iraq war was mediated by beliefs about the US government's motivations for the war. Study 2 provided a conceptual replication of the proposed mediation model and extended the findings from beliefs about US government motivations to perceived threat from the pre-war Iraqi government. Study 3 used an experimental paradigm to manipulate perceived threat to show that such beliefs directly affected support for the war. Implications and directions for future research are discusse

Incarceration's Front Door: The Misuse of Jails in America

Local jails, which exist in nearly every town and city in America, are built to hold people deemed too dangerous to release pending trial or at high risk of flight. This, however, is no longer primarily what jails do or whom they hold, as people too poor to post bail languish there and racial disparities disproportionately impact communities of color. This report reviews existing research and data to take a deeper look at our nation's misuse of local jails and to determine how we arrived at this point. It also highlights jurisdictions that have taken steps to mitigate negative consequences, all with the aim of informing local policymakers and their constituents who are interested in reducing recidivism, improving public safety, and promoting stronger, healthier communities

A Nutritional Formulation for Cognitive Performance and Mood in Alzheimer’s Disease and Mild Cognitive Impairment: A Phase II Multi-site Randomized Trial with an Open-label Extension

Background: It is increasingly recognized that interventions for dementia must shift towards prevention to obtain maximal efficacy and any significant degree of disease modification. Nutritional supplementation with single agents has shown varied results, suggesting the need for combinatorial intervention. Methods: We conducted a 3-month, randomized, multi-site, phase II study in which 141 individuals diagnosed with Alzheimer’s disease (AD) and 34 individuals with Mild Cognitive Impairment received a nutraceutical formulation (NF; folate, alpha-tocopherol, B12, S-adenosyl methioinine, N-acetyl cysteine, acetyl-L-carnitine) or indistinguishable placebo under double-blind conditions, followed by an open-label extension in which all individuals received NF for a total of 1yr. An additional 38 individuals with AD received NF under open-label conditions from baseline for 1yr. The primary outcome was defined as cognitive performance. Secondary outcomes were defined as behavioral and psychological symptoms of dementia and activities of daily living. Results: Participants randomized to NF improved statistically within 3 months in cognitive performance as ascertained by Clox-1 and the Dementia Rating Scale, and their caregivers reported improvement in Neuropsychiatric Inventory. Participants receiving NF either continued to improve or maintained their baseline performance during open-label extensions. Participants randomized to placebo did not improve, but during open-label extensions displayed similar improvement within 3 months to that of participants initially randomized to NF. Caregivers reported no change in Activities of Daily Living for either cohort. Conclusions: These findings confirm and extend prior phase I studies in which NF improved or maintained cognitive performance and behavioral symptoms for individuals with AD, and improved cognitive performance for community-dwelling individuals without dementia. In published studies with transgenic mice NF reduced PS-1 expression, beta and gamma secretase activity, Abeta deposits, phospho-tau, homocysteine and oxidative damage, and increased acetylcholine and glutathione. This comprehensive impact of NF on AD-related neuropathology supports the possibility that NF may harbor disease-modifying properties

Explaining primary health care pharmacy expenditure using classification of medications for chronic conditions

Background The Valencian Autonomous Community (Spain) has implemented a scheme of purchasing services with the participation of public and private providers. Five districts are managed using public¿private partnership. The financing model is capitation and inter-center invoice. The pharmaceutical benefits are not included in the per capita assignment. Objectives Modeling and explaining pharmacy expenditure using electronic prescriptions drug data. Methods A database of electronic prescription corresponding to 625,246 patients between November 2008 and October 2009 was used to run four linear models that explain the pharmaceutical expenditures. We take as dependent variable the neperian log of total pharmacy annual cost per patient in the primary health setting. The independent variables used combined demographics with revised classification in 18 chronic conditions obtained from the anatomical therapeutic chemical classification index (ATC). Results The retrospective model selected included: gender, pharmaceutical co-payment status and 8 dummy variables for the number of chronic conditions of each patient from 1 to 8 or more. The goodness-of-fit achieved is measured in R2 of 57%. Conclusions These models must be considered in the current capitation system for pharmaceutical budgeting in a primary care setting established at regional level, as is the case in the Valencian Autonomous Community. The use of diagnostics and information regarding hospital encounters appears to be a complementary option for refining models of capitation of pharmaceutical and total health expenditure.The authors thank the General Direction of Pharmacy of the Valencian Department of Health for financial support and the working group for providing the data set. The opinions expressed in this paper are those of the authors and do not necessarily reflect those of the afore-named. Any errors are the authors' responsibility. We would also like to thank the two anonymous reviewers for their comments, which helped greatly to improve this paper.Vivas Consuelo, DJJ.; Guadalajara Olmeda, MN.; Barrachina Martínez, I.; Trillo-Mata, J.; Usó-Talamantes, R.; De La Poza, E. (2011). Explaining primary health care pharmacy expenditure using classification of medications for chronic conditions. Health Policy. 103(1):9-15. https://doi.org/10.1016/j.healthpol.2011.08.014S915103

Experimental study of the quantum driven pendulum and its classical analogue in atoms optics

We present experimental results for the dynamics of cold atoms in a far detuned amplitude-modulated optical standing wave. Phase-space resonances constitute distinct peaks in the atomic momentum distribution containing up to 65% of all atoms resulting from a mixed quantum chaotic phase space. We characterize the atomic behavior in classical and quantum regimes and we present the applicable quantum and classical theory, which we have developed and refined. We show experimental proof that the size and the position of the resonances in phase space can be controlled by varying several parameters, such as the modulation frequency, the scaled well depth, the modulation amplitude, and the scaled Planck's constant of the system. We have found a surprising stability against amplitude noise. We present methods to accurately control the momentum of an ensemble of atoms using these phase-space resonances which could be used for efficient phase-space state preparation

Genetics of Sputum Gene Expression in Chronic Obstructive Pulmonary Disease

Previous expression quantitative trait loci (eQTL) studies have performed genetic association studies for gene expression, but most of these studies examined lymphoblastoid cell lines from non-diseased individuals. We examined the genetics of gene expression in a relevant disease tissue from chronic obstructive pulmonary disease (COPD) patients to identify functional effects of known susceptibility genes and to find novel disease genes. By combining gene expression profiling on induced sputum samples from 131 COPD cases from the ECLIPSE Study with genomewide single nucleotide polymorphism (SNP) data, we found 4315 significant cis-eQTL SNP-probe set associations (3309 unique SNPs). The 3309 SNPs were tested for association with COPD in a genomewide association study (GWAS) dataset, which included 2940 COPD cases and 1380 controls. Adjusting for 3309 tests (p<1.5e-5), the two SNPs which were significantly associated with COPD were located in two separate genes in a known COPD locus on chromosome 15: CHRNA5 and IREB2. Detailed analysis of chromosome 15 demonstrated additional eQTLs for IREB2 mapping to that gene. eQTL SNPs for CHRNA5 mapped to multiple linkage disequilibrium (LD) bins. The eQTLs for IREB2 and CHRNA5 were not in LD. Seventy-four additional eQTL SNPs were associated with COPD at p<0.01. These were genotyped in two COPD populations, finding replicated associations with a SNP in PSORS1C1, in the HLA-C region on chromosome 6. Integrative analysis of GWAS and gene expression data from relevant tissue from diseased subjects has located potential functional variants in two known COPD genes and has identified a novel COPD susceptibility locus

Predictability of pharmaceutical spending in primary health services using Clinical Risk Groups

Background: Risk adjustment instruments applied to existing electronic health records and administrative datasets may contribute to monitoring the correct prescribing of medicines. Objective: We aim to test the suitability of the model based on the CRG system and obtain specific adjusted weights for determined health states through a predictive model of pharmaceutical expenditure in primary health care. Methods: A database of 261,054 population in one health district of an Eastern region of Spain was used. The predictive power of two models was compared. The first model (ATC-model) used nine dummy variables: sex and 8 groups from 1 to 8 or more chronic conditions while in the second model (CRG-model) we include sex and 8 dummy variables for health core statuses 2-9. Results: The two models achieved similar levels of explanation. However, the CRG system offers higher clinical significance and higher operational utility in a real context, as it offers richer and more updated information on patients. Conclusions: The potential of the CRG model developed compared to ATC codes lies in its capacity to stratify the population according to specific chronic conditions of the patients, allowing us to know the degree of severity of a patient or group of patients, predict their pharmaceutical cost and establish specific programmes for their treatment. (C) 2014 Elsevier Ireland Ltd. All rights reserved.This study was financed by a grant from the Fondo de Investigaciones de la Seguridad Social Instituto de Salud Carlos III, the Spanish Ministry of Health (FIS PI12/0037). The authors would like to thank members (Juan Bru and Inma Sauri) of the Pharmacoeconomics Office of the Valencian Health Agency. The opinions expressed in this paper are those of the authors and do not necessary reflect those of the afore-named. Any errors are the authors' responsibility. We would also like to thank John Wright for the English editing.Vivas Consuelo, DJJ.; Usó Talamantes, R.; Trillo Mata, JL.; Caballer Tarazona, M.; Barrachina Martínez, I.; Buigues Pastor, L. (2014). Predictability of pharmaceutical spending in primary health services using Clinical Risk Groups. Health Policy. 116(2-3):188-195. https://doi.org/10.1016/j.healthpol.2014.01.012S1881951162-

Explicitly searching for useful inventions: dynamic relatedness and the costs of connecting versus synthesizing

Inventions combine technological features. When features are barely related, burdensomely broad knowledge is required to identify the situations that they share. When features are overly related, burdensomely broad knowledge is required to identify the situations that distinguish them. Thus, according to my first hypothesis, when features are moderately related, the costs of connecting and costs of synthesizing are cumulatively minimized, and the most useful inventions emerge. I also hypothesize that continued experimentation with a specific set of features is likely to lead to the discovery of decreasingly useful inventions; the earlier-identified connections reflect the more common consumer situations. Covering data from all industries, the empirical analysis provides broad support for the first hypothesis. Regressions to test the second hypothesis are inconclusive when examining industry types individually. Yet, this study represents an exploratory investigation, and future research should test refined hypotheses with more sophisticated data, such as that found in literature-based discovery research