Can bipolar disorder-specific neuropsychological impairments in children be identified?

This study examined neuropsychological deficits among children with bipolar disorder while attending to its comorbidity with attention-deficit/hyperactivity disorder (ADHD). Seventy-three unmedicated children (ages 6-17 years) with Diagnostic and Statistical Manual of Mental Disorders (4th ed.; American Psychiatric Association, 1994) bipolar disorder plus ADHD (BPD + ADHD) were compared with 102 unmedicated children with ADHD without bipolar disorder, and 120 children without bipolar disorder or ADHD. Ninety-four percent of participants were Caucasian, 58% were male, and 42% were female. On average participants were of middle to upper socioeconomic status. Participants were assessed with a comprehensive neuropsychological battery and measures of academic achievement, school failure, and special education placement. Participants with BPD + ADHD and with ADHD were impaired in interference control, verbal learning, and arithmetic achievement and had higher rates of special school services. Across all of the measures of neuropsychological functioning, the only difference observed between youths with BPD + ADHD and youths with ADHD was that youths with BPD + ADHD performed more poorly on one measure of processing speed. Thus, comorbidity with ADHD may account for many of the neuropsychological deficits observed in children with bipolar disorder. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Exp-function method for solving nonlinear evolution equations with higher order nonlinearity

In this paper, the Exp-function method is used to obtain generalized solitary solutions of the generalized Drinfel’d–Sokolov–Wilson (DSW) system and the generalized (2+1)-dimensional Burgers-type equation. Then, some of the solitary solutions are converted to periodic solutions or hyperbolic function solutions by a simple transformation. The results show that the Exp-function method is a powerful and convenient mathematical tool for solving nonlinear evolution equations with higher order nonlinearity.     

Electrochemical oxidation of the increasingly used disinfectant benzalkonium chloride

Benzalkonium chloride (BAC) is a key ingredient in many cleaning and disinfectant products due to it being an effective antiviral and biocidal agent. Because of its prolific use, especially following the recent global COVID pandemic, increased levels of BAC have been found in the environment, in particular, in wastewater, where it has negative impacts due to its toxicity. This necessitates an effective treatment for BAC in wastewater to reduce its toxicity. In this work, electrochemical oxidation of BAC on a boron-doped diamond anode was studied to successfully remove BAC. The electrochemical measurements performed at different current densities confirmed that BAC was completely oxidized within 20 min of treatment at 50 mA/cm². However, chemical oxygen demand (COD) measurements showed that around 50% of the initial BAC was completely mineralized after 1 h of degradation at 50 mA/cm², while the remaining electrooxidation of BAC resulted in the production of transformation products.     

Diffusion coefficients and phase equilibria of carbon dioxide–ionic liquid, 1-butyl-3-methylimidazolium hexafluorophosphate ([bmim][PF6]) system

This article presents the mutual diffusion coefficients of a carbon dioxide–ionic liquid, [bmim][PF₆], system at temperatures of 313.15 and 323.15 K and pressures of 5 and 8 MPa. In order to estimate the diffusion coefficients, we have carried out experiments to find time-dependent carbon dioxide solubilities in the ionic liquid and then fit a transport model to the data. In a system containing high pressure carbon dioxide and ionic liquid, carbon dioxide dissolves in the liquid until its equilibrium mole fraction is reached. During this process, the position of the liquid–vapour interface and the density of the liquid phase change. To account for the variation in liquid density, an equation fit to the experimental density data is included in the transport model. To track the moving interface, the volume-of-fluid method is used. The diffusivities at dilute concentration and at thermodynamic phase equilibrium are determined and compared with the literature values and those obtained from correlations.     

Crosslinked Aggregates of Fusion Enzymes in Microaqueous Organic Media

Baeyer-Villiger monooxygenases (BVMOs) are attractive for selectively oxidizing various ketones using oxygen into valuable esters and lactones. However, the application of BVMOs is restrained by cofactor dependency and enzyme instability combined with water-related downsides such as low substrate loading, low oxygen capacity, and water-induced side reactions. Herein, we described a redox-neutral linear cascade with in-situ cofactor regeneration catalyzed by fused alcohol dehydrogenase and cyclohexanone monooxygenase in aqueous and microaqueous organic media. The cascade conditions have been optimized regarding substrate concentrations as well as the amounts of enzymes and cofactors with the Design of Experiments (DoE). The carrier-free immobilization technique, crosslinked enzyme aggregates (CLEAs), was applied to fusion enzymes. The resultant fusion CLEAs were proven to function in microaqueous organic systems, in which the enzyme ratios, water contents (0.5–5 vol. %), and stability have been systematically studied. The fusion CLEAs showed promising operational (up to 5 cycles) and storage stability.     

An improved adaptive FastSLAM algorithm with time-varying noise estimator

In this study, an adaptive FastSLAM (AFastSLAM) algorithm, which is obtained by estimating the time-varying noise statistics and improving FastSLAM algorithm, is proposed. This improvement was accomplished by using maximum likelihood estimation and expectation maximization criterion and a one-step smoothing algorithm in importance sampling. In addition, innovation covariance estimation (ICE) method was used to prevent loss of positive definiteness of the process and measurement noise covariance matrices. The proposed method was compared with FastSLAM by calculating the root mean square error (RMSE) using different particle numbers at varying initial process and measurement noise values. Simulation studies have shown that AFastSLAM provides much more accurate, consistent, and successful estimates than FastSLAM for both robot and landmark positions.