Constructing Ultraviolet Nonlinear Optical Crystals with Superior Thermal Stability Based on Organic π-Conjugated [HCOO] Groups.

In recent years, more and more organic π-conjugated moieties have been screened out to create excellent ultraviolet (UV) and deep-UV nonlinear optical (NLO) crystal materials. However, NLO crystals with organic groups usually exhibit poor thermal stability compared with those of traditional inorganic NLO materials. Herein, the organic group [HCOO], which is similar to traditional planar trigonal π-conjugated anionic groups, was employed to successfully build three UV NLO crystals (HCOO) ( = Eu, Gd, and Dy) and two centrosymmetric compounds (HCOO)(OH) ( = Eu, and Gd) with superior thermal stability.

A Network Meta-Analysis of Aerobic, Resistance, Endurance, and High-Intensity Interval Training to Prioritize Exercise for Stable COPD.

Purpose: While the benefits of exercises for chronic obstructive pulmonary disease (COPD) are well-established, the relative effectiveness of different exercise types for stable COPD remains unclear. This network meta-analysis aims to investigate the comparative effects of aerobic exercise (AE), resistance training (RT), endurance training (ET), and high-intensity interval training (HIIT) in stable COPD.

Methods: Electronic searches were performed in PubMed, Embase, and the Cochrane library to identify relevant randomized controlled trials (RCTs) investigating the effects of exercises on 6-minute walk test distance (6MWD), forced expiratory volume in one second (FEV1), and forced vital capacity (FVC), and St.

Adaptation and validation of moral distress thermometer in Chinese nurses.

Background: Moral distress seriously affects professional nurses, and a number of instruments have been developed to measure the level of moral distress. The moral distress thermometer (MDT) is one of the commonly used instruments that can rapidly measure real-time moral distress; however, it remains unclear whether it is still useful in the Chinese cultural context.

Aim: This study aimed to adapt and validate the MDT among Chinese registered nurses.

Pan-Logical Probabilistic Algorithms Based on Convolutional Neural Networks.

A brand-new kind of flexible logic system called universal logic aims to address a variety of uncertain problems. In this study, the role of convolutional neural networks in assessing probabilistic pan-logic algorithms is investigated. A generic logic probability algorithm analysis based on a convolutional neural network is suggested due to the unpredictable outputs of the probabilistic algorithm and the difficulty of its analysis.