An Approach to Carbon Emissions Prediction Using Generalized Regression Neural Network Improved by Genetic Algorithm

The study on scientific analysis and prediction of China’s future carbon emissions is conducive to balancing the relationship between economic development and carbon emissions in the new era,and actively responding to climate change policy.Through the analysis of the application of the generalized regression neural network(GRNN)in prediction,this paper improved the prediction method of GRNN.Genetic algorithm(GA)was adopted to search the optimal smooth factor as the only factor of GRNN,which was then used for prediction in GRNN.During the prediction of carbon dioxide emissions using the improved method,the increments of data were taken into account.The target values were obtained after the calculation of the predicted results.Finally,compared with the results of GRNN,the improved method realized higher prediction accuracy.It thus offers a new way of predicting total carbon dioxide emissions,and the prediction results can provide macroscopic guidance and decision-making reference for China’s environmental protection and trading of carbon emissions.

Effects of resonant magnetic perturbations on radial electric fields in DIII-D tokamak

Gyrokinetic simulations of DIII-D tokamak equilibrium find that resonant magnetic perturbation(RMP)drives a neoclassical non-ambipolar electron particle flux,which causes a rapid change of equilibrium radial electric fields consistent with experimental observations during the suppression of the edge localized mode(ELM).The simulation results provide a support for the conjecture that RMP-induced changes of radial electric fields lead to the enhanced turbulent transport at the pedestal top during the ELM suppression(Taimourzadeh et al 2019 Nucl.Fusion59046005).Furthermore,gyrokinetic simulations of collisionless damping of zonal flows show that resonant responses to the RMP decrease the residual level of the zonal flows and damp the geodesic acoustic mode.

Genome-wide Studies Reveal Genetic Risk Factors for Hepatic Fat Content

Genetic susceptibility to metabolic associated fatty liver disease(MAFLD)is complex and poorly characterized.Accurate characterization of the genetic background of hepatic fat content would provide insights into disease etiology and causality of risk factors.We performed genome-wide association study(GWAS)on two noninvasive definitions of hepatic fat content:magnetic resonance imaging proton density fat fraction(MRI-PDFF)in 16,050 participants and fatty liver index(FLI)in 388,701 participants from the United Kingdom(UK)Biobank(UKBB).Heritability,genetic overlap,and similarity between hepatic fat content phenotypes were analyzed,and replicated in 10,398 participants from the University Medical Center Groningen(UMCG)Genetics Lifelines Initiative(UGLI).Meta-analysis of GWASs of MRI-PDFF in UKBB revealed five statistically significant loci,including two novel genomic loci harboring CREB3L1(rs72910057-T,P=5.40E−09)and GCM1(rs1491489378-T,P=3.16E−09),respectively,as well as three previously reported loci:PNPLA3,TM6SF2,and APOE.GWAS of FLI in UKBB identified 196 genome-wide significant loci,of which 49 were replicated in UGLI,with top signals in ZPR1(P=3.35E−13)and FTO(P=2.11E−09).Statistically significant genetic correlation(rg)between MRI-PDFF(UKBB)and FLI(UGLI)GWAS results was found(rg=0.5276,P=1.45E−03).Novel MRI-PDFF genetic signals(CREB3L1 and GCM1)were replicated in the FLI GWAS.We identified two novel genes for MRI-PDFF and 49 replicable loci for FLI.Despite a difference in hepatic fat content assessment between MRI-PDFF and FLI,a substantial similar genetic architecture was found.FLI is identified as an easy and reliable approach to study hepatic fat content at the population level.

载阿奇霉素-鼠李糖脂胶束制备工艺优化及性能表征

采用薄膜水化法制备载阿奇霉素-鼠李糖脂(AZI-RHL)胶束,以包封率、载药量为评价指标,通过单因素试验和正交试验优化制备工艺,并考察其理化性质。制备载药胶束前先测定RHL水溶液的临界胶束浓度(CMC)。结果表明,RHL水溶液的CMC值约为0.25 mg/mL。优化后的最佳制备工艺条件为:RHL投料量100 mg,甲醇用量12 mL,搅拌时长20 min。在此条件下制备的AZI-RHL胶束呈球形,水动力学直径为136.3±68.5 nm,Zeta电位为-23.1±6.8 mV,包封率为80.34%±0.60%,载药量为19.42%±0.48%。红外光谱证明AZI包埋在胶束中。体外释放试验表明AZI-RHL胶束具有一定的缓释作用,其体外累计释放曲线符合Ritger-Peppas方程,释放药物以Fick扩散为主。综上所述,AZI-RHL胶束的制备工艺稳定可靠,胶束粒径小,且包封率、载药量高,是一种有潜力的新型制剂。

Pharmacomicrobiomics： a novel route towards personalized medicine？

Inter-individual heterogeneity in drug response is a serious problem that affects the patient＇s wellbeing and poses enormous clinical and financial burdens on a societal level. Pharmacogenomics has been at the forefront of research into the impact of individual genetic background on drug response variability or drug toxicity, and recently the gut microbiome, which has also been called the second genome, has been recog- nized as an important player in this respect. Moreover, the microbiome is a very attractive target for improving drug efficacy and safety due to the opportunities to manipulate its composition. Pharmacomicrobiomics is an emerging field that investigates the interplay of microbiome variation and drugs response and disposi- tion （absorption, distribution, metabolism and excretion）. In this review, we provide a historical overview and examine current state-of-the-art knowledge on the complex interactions between gut microbiome, host and drugs. We argue that combining pharmacogenomics and pharmacomicrobiomics will provide an important foundation for making major advances in personalized medicine.