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There are many case reports of seizures apparently associated with the prescription of antipsychotics. This study aimed to examine whether there is an association between the prescription of antipsychotics and incident seizures in individuals with autism spectrum disorder using retrospective data based on patients' chart review. A cohort study was conducted to compare the rate of incident seizure between 3923 users of antipsychotics with 10,086 users of other psychotropics. This was followed by a self-controlled case series (SCCS) analysis of 149 patients to eliminate the effect of time-invariant confounders. The results showed no evidence of increased risk of seizure after exposure to antipsychotic agents (Hazard Ratio 1.28, 95% CI 0.74-2.19) compared to other psychotropics.

Existing protocol recognition methods cannot effectively extract the temporal and spatial characteristics of protocol data,which leads to low accuracy of protocol recognition.An application layer protocol recognition method based on one dimensional residual network and recurrent neural network is proposed.The proposed model consists of one dimensional preactivated residual network(PreResNet) and bidirectional gated recurrent neural network(BiGRU).The PreResNet is used to extract spatial characteristics of the protocol data,and the BiGRU is used to extract temporal characteristics of the protocol data.The attention mechanism is used to extract the key features related to protocol recognition to improve the accuracy of protocol recognition.The proposed method firstly extracts the application layer protocol data from network traffic,and the data is preprocessed and transformed into one dimensional vectors.Then the classification model is trained with the training data and a mature protocol recognition model is obtained.Finally,the trained classification model is used to identify the application layer protocols.Experimental results on public dataset ISCX2012 show that the proposed protocol recognition model has an overall accuracy of 96.87% and an average F value of 96.81%,which are higher than those of other protocol recognition models.

Acute kidney injury (AKI) is a common critical illness in clinic, characterized by a sudden and continuous decline in kidney function. zebrafish, as a vertebrate model organism, is highly similar to human being in terms of kidney morphology, physiology and function, and is an ideal animal model for the study of kidney disease, which makes up for the deficiency of mammalian model. This review briefly described the structure and function of zebrafish kidney, the modeling methods and its application in AKI research.

Covalent-organic frameworks (COFs) with photoinduced donor-acceptor (D-A) radical pairs show enhanced photocatalytic activity in principle. However, achieving long-lived charge separation in COFs proves challenging due to the rapid charge recombination. Here, we develop a novel strategy by combining [6 + 4] nodes to construct zyg -type 3D COFs, first reported in COF chemistry. This structure type exhibits a fused Olympic-rings-like shape, which provides a platform for stabilizing the photoinduced D-A radical pairs. The zyg -type COFs containing catalytically active moieties such as triphenylamine and phenothiazine (PTZ) show superior photocatalytic production rates of hydrogen peroxide (H2O2). Significantly, the photochromic radical states of these COFs show up to 400% enhancement in photocatalytic activity compared to the parent states, achieving a remarkable H2O2 synthesis rate of 3324 μmol g−1 h−1, which makes the PTZ-COF one of the best crystalline porous photocatalysts in H2O2 production. This work will shed light on the synthesis of efficient 3D COF photocatalysts built on topologies that can facilitate photogenerating D-A radical pairs for enhanced photocatalysis. [ABSTRACT FROM AUTHOR]

Global warming has adverse effects on crop growth, development and yield production. It is of great theoretical and practical significance to evaluate the seed heat tolerance of different crops and to mine the related genes for improving the tolerance of crops to high temperature stress. In order to study the differences of seed heat tolerance in different crops, the seeds of different crop varieties or parental lines were used as materials, and the germination potential and germination percentage were investigated after h, h, h, h and h of heat treatment under about 100 °C. The results showed that there were significant differences in seed heat tolerance in different crops. The general trend was that the germination potential and germination percentage decreased continuously with the extension of treatment time. The seeds of sesame and partial rapeseed varieties had the strongest heat tolerance, and the germination potential and germination percentages after hours heat treatment were still over %. The heat tolerance of wheat, rice, barley and safflower is moderate, and the heat tolerance of peanut seeds is the weakest, the germination potential and germination percentages after h treatment were less than %. In order to explore heat tolerance-related genes of rapeseed, Brassica napus lines were used as materials and treated at 100°C for 8h. And 60 K Illumina SNP array were used to conduct genome-wide association analysis of germination potential and germination percentage in two environments. As a result, 11 SNPs associated with germination potential and SNPs associated with germination percentage were detected. A total of heat tolerance-related genes were screened within the candidate interval, and some homologous genes of the genes have been reported to play an important role in heat tolerance response of other plants. [ABSTRACT FROM AUTHOR]