Future Event Prediction Based on Temporal Knowledge Graph Embedding

Accurate prediction of future events brings great benefits and reduces losses for society in many domains,such as civil unrest,pandemics,and crimes.Knowledge graph is a general language for describing and modeling complex systems.Different types of events continually occur,which are often related to historical and concurrent events.In this paper,we formalize the future event prediction as a temporal knowledge graph reasoning problem.Most existing studies either conduct reasoning on static knowledge graphs or assume knowledges graphs of all timestamps are available during the training process.As a result,they cannot effectively reason over temporal knowledge graphs and predict events happening in the future.To address this problem,some recent works learn to infer future events based on historical eventbased temporal knowledge graphs.However,these methods do not comprehensively consider the latent patterns and influences behind historical events and concurrent events simultaneously.This paper proposes a new graph representation learning model,namely Recurrent Event Graph ATtention Network(RE-GAT),based on a novel historical and concurrent events attention-aware mechanism by modeling the event knowledge graph sequence recurrently.More specifically,our RE-GAT uses an attention-based historical events embedding module to encode past events,and employs an attention-based concurrent events embedding module to model the associations of events at the same timestamp.A translation-based decoder module and a learning objective are developed to optimize the embeddings of entities and relations.We evaluate our proposed method on four benchmark datasets.Extensive experimental results demonstrate the superiority of our RE-GAT model comparing to various base-lines,which proves that our method can more accurately predict what events are going to happen.

Changes in intracellular and extracellular proteins after ERGIC3 knockdown in lung cancer:Proteins interacting with ERGIC3,HORN,and FLNA

Objective:Endoplasmic reticulum-Golgi intermediate compartment 3(ERGIC3)promotes cell proliferation and metastasis in lung cancer,but its molecular mechanism is unclear.Methods:The GLC-82 cells were randomly divided into the ERGIC3i group and the negative control group.The cells were transfected with ERGIC3 siRNA or control siRNA in the groups,respectively.The ERGIC3-interacting proteins expressed in cells or extracellularly were isolated by the immunoprecipitation method and detected by isobaric tags for relative and absolute quantitation and liquid chromatography-tandem mass spectrometry.The differentially expressed proteins were determined by bioinformatic methods.Results:After ERGIC3 knockdown,88 extracellular differentially expressed proteins,41 upregulated and 47 down-regulated,were detected in the supernatant of cultured cells.Among 52 intracellular differentially expressed proteins,33 were up-regulated and 19 down-regulated.Cluster analysis showed that the extracellular differential proteins are mainly involved in Ca2+binding and transport and I-kappa B kinase/NF-kappa B signal transduction.The upregulated proteins are mainly involved in the biological process of H3-K27 and H3-K4 methylation in cells.Co-immunoprecipitation assay showed that proteins interacting with ERGIC3 were rich in cytoskeleton construction and RHO GTPases activated p21-activated kinases.The intersection of these two research methods shows that ERGIC3 interacts with HORN and filamin A(FLNA).Conclusion:Proteomic analyses reveal that ERGIC3 acts as a vesicle transmembrane protein on the distribution of various extracellular and intracellular proteins and regulates the extracellular and intracellular biological processes by specifically binding hornin(HORN)and FLNA proteins.These findings maybe provide new methods and ideas for ERGIC3 as a therapeutic target for lung cancer.

Amino modified nanofibers anchored to Prussian blue nanoparticles selectively remove Cs^(+)from water

To improve the selective separation performance of silica nanofibers(SiO_(2)NFs)for cesium ions(Cs+)and overcome the defects of Prussian blue nanoparticles(PB NPs),PB/SiO_(2)-NH_(2)NFs were prepared to remove Cs^(+)from water.Among them,3-aminopropyltriethoxysilane(APTES)underwent an alkylation reaction with SiO_(2),resulting in the formation of a dense Si-O-Si network structure that decorated the surface of SiO_(2)NFs.Meanwhile,the amino functional groups in APTES combined with Fe3+and then reacted with Fe2+to form PB NPs,which anchored firmly on the aminoated SiO_(2)NFs surface.In our experiment,the maxi-mumadsorption capacity of PB/SiO_(2)-NH_(2)NFs was 111.38 mg/g,which was 31.5mg/g higher than that of SiO_(2)NFs.At the same time,after the fifth cycle,the removal rate of Cs^(+)by PB/SiO_(2)-NH_(2)NFs adsorbent was 75.36%±3.69%.In addition,the adsorption isotherms and adsorption kinetics of PB/SiO_(2)-NH_(2)NFs were combined with the Freundlich model and the quasi-two-stage fitting model,respectively.Further mechanism analysis showed that the bond between PB/SiO_(2)-NH_(2)NFs and Cs^(+)was mainly a synergistic action of ion exchange,electrostatic adsorption and membrane separation.

Modeling drug-induced mitochondrial toxicity with human primary cardiomyocytes

Mitochondrial toxicity induced by therapeutic drugs is a major contributor for cardiotoxicity,posing a serious threat to pharmaceutical industries and patients’lives.However,mitochondrial toxicity testing is not incorporated into routine cardiac safety screening procedures.To accurately model native human cardiomyocytes,we comprehensively evaluated mitochondrial responses of adult human primary cardiomyocytes(h PCMs)to a nucleoside analog,remdesivir(RDV).Comparison of their response to human pluripotent stem cell-derived cardiomyocytes revealed that the latter utilized a mitophagy-based mitochondrial recovery response that was absent in h PCMs.Accordingly,action potential duration was elongated in h PCMs,reflecting clinical incidences of RDV-induced QT prolongation.In a screen for mitochondrial protectants,we identified mitochondrial ROS as a primary mediator of RDV-induced cardiotoxicity.Our study demonstrates the utility of h PCMs in the detection of clinically relevant cardiac toxicities,and offers a framework for h PCM-based high-throughput screening of cardioprotective agents.

数智时代道德人格发展的价值审思与实践进路

道德人格是人之为人的德性构造,关乎本己、涉他的伦理关系论域。从现象学视角观之,道德人格蕴含了时间和空间的纵—横关系指向。数智时代技术之于道德人格培育具有双重价值意蕴:在道德人格的空间层面,数字智能技术扩充“公共善”的论域范围和“个体善”道德自治的情感通道;在道德人格的时间层面,意识叠加增强个体内在时间意识的自主建构和道德人格行为的意义呈现。然而,在数智世界中主体道德人格发展也存在语境脱域、情境失真、价值失序、信息杂糅等隐忧。为此,提出数智时代学校道德人格教育的治理路径:一则明晰技术之于德育的工具价值,强化技术之于主体的伦理关怀;二则以数字智能技术拓宽道德人格教育空间,建设学校“智慧德育”新生态;三则构建数智化“教育—学习—管理”共同体,着力提升师生数智素养与能力。

Prussian blue nanoparticle-loaded microbubbles for photothermally enhanced gene delivery through ultrasound-targeted microbubble destruction

By adsorbing chitosan(CS)-functionalized Prussian blue(PB) nanoparticles(CS/PB NPs) complexing DNA onto the surface of gas encapsulated microbubbles(MBs), a multifunctional gene delivery system of MBs@CS/PB/DNA was fabricated for photothermally enhanced gene transfection through ultrasound-targeted microbubble destruction. CS/PB NPs of(2.69 ± 0.49) nm could complex DNA effectively when the mass ratio was2:1. It was found that MBs@CS/PB/DNA could enhance ultrasound imaging greatly both in vitro and in vivo. In addition, MBs@CS/PB/DNA could be disrupted by applying a higher-intensity ultrasound irradiation to release CS/PB/DNA, which could effectively transform the nearinfrared(NIR) light into heat to assist the uptake of CS/PB/DNA by cells. With the aid of ultrasound irradiation and NIR light irradiation, the gene transfection efficiency was significantly enhanced to(43.08 ± 1.13) %, much higher than polyethylenimine. Moreover, MBs@CS/PB/DNA showed excellent biocompatibility, encouraging the further exploration of MBs@CS/PB/DNA to be a platform for combined ultrasound image, photothermal therapy, drug delivery, and gene therapy.

Impervious surface extraction based on different methods from multiple spatial resolution images:a comprehensive comparison

Many efforts have been devoted to extracting impervious surfaces based on different methods from multiple spatial resolution images.Differences in extraction methods and spatial resolutions are significant and have led to discrepant performances in terms of the impervious surface extraction accuracy.However,which extraction method is more suitable for which kind of spatial resolution image in practice is poorly understood.This study systematically compared the performances of 12 methods of impervious surface extraction for four spatial resolution images(i.e.Landsat 8[30 m],Sentinel-2A[20 m],Sentinel-2A[10 m],and Gaofen-2[4 m])in three testing areas.The results indicated that for the mediumspatial resolutions of 30 and 20 m,the support vector machine(SVM)method was considered as the optimal classification method with the highest accuracy of impervious surface extraction.For the high-spatial resolutions of 10 and 4 m,the object based image analysis(OBIA)method obtained the highest accuracy of the impervious surface distribution.Furthermore,the perpendicular impervious surface index(PISI)outperformed the other indices in obtaining the impervious surface distribution,with the highest accuracy for four spatial resolution images.These comprehensive assessments can provide a valuable guidance for future impervious surface extraction from different spatial resolutions.

Nonpharmaceutical interventions contribute to the control of COVID-19 in China based on a pairwise model

Nonpharmaceutical interventions(NPIs),particularly contact tracing isolation and household quarantine,play a vital role in effectively bringing the Coronavirus Disease 2019(COVID-19)under control in China.The pairwise model,has an inherent advantage in characterizing those two NPIs than the classical well-mixed models.Therefore,in this paper,we devised a pairwise epidemic model with NPIs to analyze COVID-19 outbreak in China by using confirmed cases during February 3rde22nd,2020.By explicitly incorporating contact tracing isolation and family clusters caused by household quarantine,our model provided a good fit to the trajectory of COVID-19 infections.We calculated the reproduction number R=1.345(95%CI:1.230-1.460)for Hubei province and R=1.217(95%CI:1.207-1.227)for China(except Hubei).We also estimated the peak time of infections,the epidemic duration and the final size,which are basically consistent with real observation.We indicated by simulation that the traced high-risk contacts from incubated to susceptible decrease under NPIs,regardless of infected cases.The sensitivity analysis showed that reducing the exposure of the susceptible and increasing the clustering coefficient bolster COVID-19 control.With the enforcement of household quarantine,the reproduction number R and the epidemic prevalence declined effectively.Furthermore,we obtained the resumption time of work and production in China(except Hubei)on 10th March and in Hubei at the end of April 2020,respectively,which is broadly in line with the actual time.Our results may provide some potential lessons from China on the control of COVID-19 for other parts of the world.

An optimal medicinal and edible Chinese herbal formula attenuates particulate matter-induced lung injury through its anti-oxidative,anti-inflammatory and anti-apoptosis activities

Objective:Identifying novel strategies to prevent particulate matter(PM)-induced lung injury is crucial for the reduction of the morbidity of chronic respiratory diseases.The combined intervention represented by herbal formulae for simultaneously targeting multiple pathological processes can provide a more beneficial effect than the single intervention.The aim of this paper is therefore to design a safe and effective medicinal and edible Chinese herbs(MECHs)formula against PM-induced lung injury.Methods:PM-induced oxidative stress,inflammatory response and apoptosis A549 cell model were used to screen anti-oxidant,anti-inflammatory and anti-apoptotic MECHs,respectively.A network pharmacology method was utilized to rationally design a novel herbal formula.Ultra performance liquid chromatography-mass spectrometer was utilized to assess the quality control of MECHs formula.The excretion of magnetic iron oxide nanospheres of the MECHs formula was estimated in zebrafish.The MECH formula against PM-induced lung injury was investigated with mice experiments.Results:Five selected herbs were rationally designed to form a new MECH formula,including Citri Exocarpium Rubrum(Juhong),Lablab Semen Album(Baibiandou),Atractylodis Macrocephalae Rhizoma(Baizhu),Mori Folium(Sangye)and Polygonati Odorati Rhizoma(Yuzhu).The formula effectively promoted the magnetic iron oxide nanospheres excretion in zebrafish.The mid/high dose formula significantly prevented PM-induced lung damage in mice by enhancing the activity of SOD and GSH-Px,reducing the MDA and ROS level and attenuating the upregulation of pro-inflammatory cytokine(IL-6,IL-8,IL-1βand TNFa),down regulating the protein expression of NF-κB,STAT3 and Caspase-3.Conclusion:Our findings suggest that the effective MECHs formula will become a novel strategy for preventing PM-induced lung injury and provide a paradigm for the development of functional foods using MECHs.

Modeling the early transmission of COVID-19 in New York and San Francisco using a pairwise network model

Classical epidemiological models assume mass action.However,this assumption is violated when interactions are not random.With the recent COVID-19 pandemic,and resulting shelter in place social distancing directives,mass action models must be modified to account for limited social interactions.In this paper we apply a pairwise network model with moment closure to study the early transmission of COVID-19 in New York and San Francisco and to investigate the factors determining the severity and duration of outbreak in these two cities.In particular,we consider the role of population density,transmission rates and social distancing on the disease dynamics and outcomes.Sensitivity analysis shows that there is a strongly negative correlation between the clustering coefficient in the pairwise model and the basic reproduction number and the effective reproduction number.The shelter in place policy makes the clustering coefficient increase thereby reducing the basic reproduction number and the effective reproduction number.By switching population densities in New York and San Francisco we demonstrate how the outbreak would progress if New York had the same density as San Francisco and vice-versa.The results underscore the crucial role that population density has in the epidemic outcomes.We also show that under the assumption of no further changes in policy or transmission dynamics not lifting the shelter in place policy would have little effect on final outbreak size in New York,but would reduce the final size in San Francisco by 97%.

三(4-乙炔苯基)胺类共轭微孔聚合物及其光催化水分解性能研究

共轭微孔聚合物(CMPs)由于良好的稳定性和性能可调性已在光催化水分解制氢领域显示出诱人的应用前景.为了开发新型的CMPs类光催化剂多官能团构筑砌块,探索有效的材料性能调节手段,通过Sonogashira-Hagihara偶联反应合成了4种基于三(4-乙炔苯基)胺(TEA)单元和具有不同连接位置的苯并噻二唑(BT)单元的CMPs:FS1、FS2、FS3和FS4,其中,BT单元的连接位置分别为:5,6、4,5、4,6、4,7.研究发现:可见光驱动下,四种聚合物均具有稳定的光催化析氢性能,其中4,7-位连接的聚合物FS4性能最好,析氢效率高达115.74×10μmol·mg^(-1)·h^(-1),为FS1的近3倍.说明TEA为一种性能优异的CMPs类光催化剂多官能团构筑砌块, BT单元的连接位置调控是一种有效的TEA类CMPs的性能调节手段.

Design spherical particles of potassium peroxymonosulfate compound salt with high stability and good powder properties via an agglomeration-dissolution mechanism

With the outbreak of COVID-19,disinfection protection has become a necessary measure to prevent infection.As a new type of disinfectant,potassium peroxymonosulfate compound salt(PMS)has the advantages of good bactericidal effect,non-toxicity,high safety and stability.However,the current PMS products with irregular particle shapes lead to poor flowability,high hygroscopicity,poor stability of reactive oxygen species(ROS)and serious caking problems.In this work,an agglomeration-dissolution mechanism was designed to prepare spherical PMS particles with large size(>300μm)and high sphericity(up to 90%),effectively addressing the above problems.Shaping(dissolution and abrasion)is the key to improving sphericity,which is mainly controlled by the design of the heating mode,residence time and stirring rate.Compared with the irregular PMS particles,the large spherical particles present better flowability(angle of repose decreased by 35.80%,Carr's index decreased by 64.29%,Hausner's ratio decreased by 19.14%),lower hygroscopicity(decreased by 38.0%),lower caking ratio(decreased by 84.50%),and higher stability(the monthly loss of ROS was reduced by 61.68%).The agglomeration-dissolution mechanism demonstrates the crystallization,agglomeration,dissolution and abrasion process of inorganic salt crystals,providing an opportunity to prepare high-end inorganic crystal materials with high-quality morphologies.

Coagulation disorders in patients with abnormal serum cortisol level

To the Editor:Cortisol is closely related to hemostasis.[1]In patients with hyperadrenalism,that is,Cushing syndrome(CS),a reduction in the activated partial thromboplastin time(APTT),an increased level of coagulation factors,and an increased risk of thrombosis have been repeatedly reported.[1,2]However,no studies reported the hemostatic status of patients with hypoadrenalism which is commonly seen in patients with pituitary diseases.