Effects of enzyme-induced carbonate precipitation (EICP) with different urease sources on the zinc remediation.

Enzyme-induced carbonate precipitation (EICP) has been studied in the remediation of heavy metals in recent years. This study aims to investigate the impact of EICP with jack bean urease (JU) and sword bean urease (SU) on the Zn remediation. The results show that relatively high concentration of organic molecules in SU can protect urease from deactivation and absorb Zn.

Examining the mental health services among people with mental disorders: a literature review.

Background: Mental disorders are a significant contributor to disease burden. However, there is a large treatment gap for common mental disorders worldwide. This systematic review summarizes the factors associated with mental health service use.

Hypobaric hypoxia causes low fecundity in zebrafish parents and impairment of skeletal development in zebrafish embryos and rat offspring.

Hypobaric Hypoxia (HH) negatively affects the cardiovascular and respiratory systems as well as gonadal development and the therefore next generation. This study investigated the effects of HH on zebrafish and SD rats, by exposing them to a low-pressure environment at 6000 m elevation for 30 days to simulate high-altitude conditions. It was indicated that parental zebrafish reared amh under HH had increased embryo mortality, reduced hatchability, and abnormal cartilage development in the offspring.

Has the COVID-19 pandemic lockdown worsened eating disorders symptoms among patients with eating disorders? A systematic review.

Objective: During the coronavirus pandemic lockdowns, general medical complications have received the most attention, and few studies have examined the association between the COVID-19 lockdown and eating disorders (ED). This study aimed to investigate the impact of the coronavirus lockdowns on ED symptoms severity and summarize factors associated with lockdowns that led to changes in eating disorders.

Method: PubMed, Scopus, and Cochrane Library databases were searched for studies measuring the impact of coronavirus lockdowns on ED symptoms.

FPGA-Based Implementation of Stochastic Configuration Networks for Regression Prediction.

The implementation of neural network regression prediction based on digital circuits is one of the challenging problems in the field of machine learning and cognitive recognition, and it is also an effective way to relieve the pressure of the Internet in the era of intelligence. As a nonlinear network, the stochastic configuration network (SCN) is considered to be an effective method for regression prediction due to its good performance in learning and generalization. Therefore, in this paper, we adapt the SCN to regression analysis, and design and verify the field programmable gate array (FPGA) framework to implement SCN model for the first time.