University at Buffalo

About: University at Buffalo is a education organization based out in Buffalo, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 33773 authors who have published 63840 publications receiving 2278954 citations. The organization is also known as: UB & State University of New York at Buffalo.

Superconducting 2D System with Lifted Spin Degeneracy: Mixed Singlet-Triplet State

Abstract: Motivated by recent experimental findings, we have developed a theory of the superconducting state for 2D metals without inversion symmetry modeling the geometry of a surface superconducting layer in a field-effect transistor or near the boundary doped by adsorbed ions. In such systems the twofold spin degeneracy is lifted by spin-orbit interaction, and singlet and triplet pairings are mixed in the wave function of the Cooper pairs. As a result, spin magnetic susceptibility becomes anisotropic and Knight shift retains finite and rather high value at T = 0.

Assessment of a dental anxiety scale

Abstract: The Corah dental anxiety scale is shown to be a reliable tool for use in dental offices or research projects for measuring anxiety of dental procedures. Old and new data were considered in an evaluation of the Corah Dental Anxiety Scale. The data indicate that the scale can be used in the dental office or in research projects and is a reliable, valid, and useful measure of anxiety of dental treatment.

Treatment of pediatric obesity.

Abstract: The primary goal of childhood obesity interventions is regulation of body weight and fat with adequate nutrition for growth and development. Ideally, these interventions are associated with positive changes in the physiologic and psychological sequelae of obesity. To contribute to long-term weight maintenance, interventions should modify eating and exercise behaviors such that new, healthier behaviors develop and replace unhealthy behaviors, thereby allowing healthier behaviors to persist throughout development and into adulthood. This overview of pediatric obesity treatment, using predominantly randomized, controlled studies, highlights important contributions and developments in primarily dietary, activity, and behavior change interventions, and identifies characteristics of successful treatment and maintenance interventions. Potential positive (eg, reduction in blood pressure, serum lipids, and insulin resistance) and negative (eg, development of disordered eating patterns) side effects of treatment also are described. Recommendations for improving implementation of childhood obesity treatments, including application of behavioral choice theory, improving knowledge of response extinction and recovery in regards to behavior relapse, individualization of treatment, and integration of basic science with clinical outcome research, are discussed.

Individualised antibiotic dosing for patients who are critically ill: challenges and potential solutions

Abstract: Infections in critically ill patients are associated with persistently poor clinical outcomes. These patients have severely altered and variable antibiotic pharmacokinetics and are infected by less susceptible pathogens. Antibiotic dosing that does not account for these features is likely to result in suboptimum outcomes. In this Review, we explore the challenges related to patients and pathogens that contribute to inadequate antibiotic dosing and discuss how to implement a process for individualised antibiotic therapy that increases the accuracy of dosing and optimises care for critically ill patients. To improve antibiotic dosing, any physiological changes in patients that could alter antibiotic concentrations should first be established; such changes include altered fluid status, changes in serum albumin concentrations and renal and hepatic function, and microvascular failure. Second, antibiotic susceptibility of pathogens should be confirmed with microbiological techniques. Data for bacterial susceptibility could then be combined with measured data for antibiotic concentrations (when available) in clinical dosing software, which uses pharmacokinetic/pharmacodynamic derived models from critically ill patients to predict accurately the dosing needs for individual patients. Individualisation of dosing could optimise antibiotic exposure and maximise effectiveness.