233 research outputs found

    Design of a disturbance observer applied to a SCARA robotic arm

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    Cooperative two-photon absorption

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    Cooperative two-photon absorption. II

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    It is well known that irradiation with intense laser light can lead to nonlinear absorption processes by individual molecules. However, the mutual interaction between two molecules can lead to cooperative nonlinear processes which result in entirely new features in the absorption spectrum. In this paper, the theory of cooperative two‐photon absorption is developed using the principles of quantum electrodynamics, and expressions are derived for the rate of cooperative absorption for transitions which are forbidden in the absence of any such interaction. Several different cases are examined in detail, including crystalline or matrix‐isolated species, gaseous and liquid mixtures, and van der Waals molecules. It is shown that the cooperative absorption rate can be substantially increased by choosing materials with suitable energy levels where one of several resonance enhancement mechanisms can be exploited. Finally, methods of observation are discussed, and a specific photochemical example is given for the case of a mixture of formaldehyde and deuterioformaldehyde

    Effect of Biochanin A on the Rumen Microbial Community of Holstein Steers Consuming a High Fiber Diet and Subjected to a Subacute Acidosis Challenge

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    Subacute rumen acidosis (SARA) occurs when highly fermentable carbohydrates are introduced into the diet, decreasing pH and disturbing the microbial ecology of the rumen. Rumen amylolytic bacteria rapidly catabolize starch, fermentation acids accumulate in the rumen and reduce environmental pH. Historically, antibiotics (e.g., monensin, MON) have been used in the prevention and treatment of SARA. Biochanin A (BCA), an isoflavone produced by red clover (Trifolium pratense), mitigates changes associated with starch fermentation ex vivo. The objective of the study was to determine the effect of BCA on amylolytic bacteria and rumen pH during a SARA challenge. Twelve rumen fistulated steers were assigned to 1 of 4 treatments: HF CON (high fiber control), SARA CON, MON (200 mg d-1), or BCA (6 g d-1). The basal diet consisted of corn silage and dried distiller’s grains ad libitum. The study consisted of a 2-wk adaptation, a 1-wk HF period, and an 8-d SARA challenge (d 1–4: 40% corn; d 5–8: 70% cracked corn). Samples for pH and enumeration were taken on the last day of each period (4 h). Amylolytic, cellulolytic, and amino acid/peptide-fermenting bacteria (APB) were enumerated. Enumeration data were normalized by log transformation and data were analyzed by repeated measures ANOVA using the MIXED procedure of SAS. The SARA challenge increased total amylolytics and APB, but decreased pH, cellulolytics, and in situ DMD of hay (P \u3c 0.05). BCA treatment counteracted the pH, microbiological, and fermentative changes associated with SARA challenge (P \u3c 0.05). Similar results were also observed with MON (P \u3c 0.05). These results indicate that BCA may be an effective alternative to antibiotics for mitigating SARA in cattle production systems

    Demographics and the Cost of Pharmaceuticals in a Private Third-Party Prescription Program

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    Objective: To compare variance in the cost of pharmaceuticals attributable to demographic variables with variance explained by plan characteristics, using prescription claims data within various therapeutic categories, and to examine differences in average cost of pharmaceuticals among demographic variables after controlling for covariates. Design: Retrospective, cross-sectional study. Data Collection: Data for this study were obtained from 1996 prescription claims information for the commercial population administered by a Rhode Island-based pharmacy benefit management (PBM) company. Six therapeutic categories with the highest expenditures were analyzed. Information on claims for six drug categories was extracted using database management software. Statistical analyses using multiple regression and analysis of covariance were carried out. Results: Plan characteristics outperformed demographic variables sixteenfold for all drug categories combined in explaining variance in cost of pharmaceuticals among plan enrollees. Average cost of pharmaceuticals differed among demographic variables such as age, gender, location, and place of employment after controlling for average wholesale price and days supply. Conclusions: The results obtained in this study have practical significance in the determination of capitation rates when utilization history of prospective members is not available. In this situation, managed care organizations (MCOs) or PBMs may have to set capitation rates based solely on eligibility data. Significant differences in average drug costs among the members based on place of employment suggest that benefit managers should consider differentiating capitation rates according to their clients\u27 businesses. Finally, the data from this study indicated that commercial members residing in Tennessee had the lowest average cost of pharmaceuticals among all states evaluated. The fact that one PBM manages more than 80% of the TennCare prescription program along with a significant commercial client base suggests that a spillover effect may exist

    A search for cool subdwarfs: Stellar parameters for 134 candidates

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    The results of a search for cool subdwarfs are presented. Kinematic (U, V, and W) and stellar parameters (Teff, log g, [Fe/H], and V_t) are derived for 134 candidate subdwarfs based on high resolution spectra. The observed stars span 4200K < Teff < 6400K and -2.70 < [Fe/H] < 0.25 including only 8 giants (log g < 4.0). Of the sample, 100 stars have MgH bands present in their spectra. The targets were selected by their large reduced proper-motion, the offset from the solar metallicity main sequence, or culled from the literature. We confirm the claims made by Ryan (1989) regarding the NLTT catalog being a rich source of subdwarfs and verify the success of the reduced proper-motion constraint in identifying metal-poor stars.Comment: 31 pages, 10 figures, Accepted for publication in PAS

    School Toileting Environment, Bullying, and Lower Urinary Tract Symptoms in a Population of Adolescent and Young Adult Girls:Preventing Lower Urinary Tract Symptoms Consortium Analysis of Avon Longitudinal Study of Parents and Children

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    AIM: Little is known about the association of the school toilet environment with voiding behaviors and lower urinary tract symptoms (LUTS) in adolescents. The purpose of the present longitudinal, secondary data analysis is to examine whether the school toilet environment at age 13, including bullying, is associated with LUTS at ages 13 and 19. METHODS: The sample comprised 3962 female participants from the Avon Longitudinal Study of Parents and Children (ALSPAC). At age 13, participants reported on 7 school toilet environment characteristics and a range of LUTS items. At age 19, participants completed the Bristol Female Lower Urinary Tract Symptoms (ICIQ-BFLUTS) questionnaire. RESULTS: All toilet environmental factors were associated with at least one LUTS outcome at age 13. Holding behavior was associated with all school toilet environmental factors, with odds ratios (ORs) ranging from 1.36 (95% CI: 1.05, 1.76) for dirty toilets to 2.38 (95% CI: 1.60, 3.52) for feeling bullied at toilets. Bullying was associated with all LUTS symptoms; ORs ranged from 1.60 (95% CI: 1.04, 2.07) for nocturia to 2.90 (95% CI: 1.77, 4.75) for urgency. Associations between age 13 school toilets and age 19 LUTS were in the same direction as age 13 LUTS. CONCLUSION: This is the first examination of associations between school toilets and LUTS. Toileting environments were cross-sectionally associated with LUTS in adolescent girls. While further work is needed to determine whether these associations are causal, school toilet environments are modifiable and thus a promising target for LUTS prevention

    A Tribute to the Mind, Methodology and Mentoring of Wayne Velicer

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    Wayne Velicer is remembered for a mind where mathematical concepts and calculations intrigued him, behavioral science beckoned him, and people fascinated him. Born in Green Bay, Wisconsin on March 4, 1944, he was raised on a farm, although early influences extended far beyond that beginning. His Mathematics BS and Psychology minor at Wisconsin State University in Oshkosh, and his PhD in Quantitative Psychology from Purdue led him to a fruitful and far-reaching career. He was honored several times as a high-impact author, was a renowned scholar in quantitative and health psychology, and had more than 300 scholarly publications and 54,000+ citations of his work, advancing the arenas of quantitative methodology and behavioral health. In his methodological work, Velicer sought out ways to measure, synthesize, categorize, and assess people and constructs across behaviors and time, largely through principal components analysis, time series, and cluster analysis. Further, he and several colleagues developed a method called Testing Theory-based Quantitative Predictions, successfully applied to predicting outcomes and effect sizes in smoking cessation, diet behavior, and sun protection, with the potential for wider applications. With $60,000,000 in external funding, Velicer also helped engage a large cadre of students and other colleagues to study methodological models for a myriad of health behaviors in a widely applied Transtheoretical Model of Change. Unwittingly, he has engendered indelible memories and gratitude to all who crossed his path. Although Wayne Velicer left this world on October 15, 2017 after battling an aggressive cancer, he is still very present among us
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