Superb VOCs capture engineering carbon adsorbent derived from shaddock peel owning uncompromising thermal-stability and adsorption property

High applied thermal-stability and superior structural property for activated carbon adsorbent are extremely promising,which also is the determining short slab in volatile organic compounds(VOCs)adsorption applications.Herein,we develop the outstanding engineering carbon adsorbents from waste shaddock peel which affords greatly-enhanced thermal-stability and super structural property(S_(Lang)=4962.6 m2·g^(-1),Vmicro=1.67 cm^(3)·g^(-1)).Such character endows the obtained adsorbent with ultrahigh adsorption capture performance of VOCs specific to benzene(16.58 mmol·g^(-1))and toluene(15.50 mmol·g^(-1),far beyond traditional zeolite and activated carbon even MOFs materials.The structural expression characters were accurately correlated with excellent adsorption efficiency of VOCs by studying synthetic factor-controlling comparative samples.Ulteriorly,adsorption selectivity prediction at different relative humidity was demonstrated through DIH(difference of the isosteric heats),exceedingly highlighting great superiority(nearly sixfold)in selective adsorption of toluene compared to volatile benzene.Our findings provide the possibility for practical industrial application and fabrication of waste biomass-derived outstanding biochar adsorbent in the environmental treatment of threatening VOCs pollutants.

Effects of mesh loop modes on performance of unstructured finite volume GPU simulations

In unstructured finite volume method,loop on different mesh components such as cells,faces,nodes,etc is used widely for the traversal of data.Mesh loop results in direct or indirect data access that affects data locality significantly.By loop on mesh,many threads accessing the same data lead to data dependence.Both data locality and data dependence play an important part in the performance of GPU simulations.For optimizing a GPU-accelerated unstructured finite volume Computational Fluid Dynamics(CFD)program,the performance of hot spots under different loops on cells,faces,and nodes is evaluated on Nvidia Tesla V100 and K80.Numerical tests under different mesh scales show that the effects of mesh loop modes are different on data locality and data dependence.Specifically,face loop makes the best data locality,so long as access to face data exists in kernels.Cell loop brings the smallest overheads due to non-coalescing data access,when both cell and node data are used in computing without face data.Cell loop owns the best performance in the condition that only indirect access of cell data exists in kernels.Atomic operations reduced the performance of kernels largely in K80,which is not obvious on V100.With the suitable mesh loop mode in all kernels,the overall performance of GPU simulations can be increased by 15%-20%.Finally,the program on a single GPU V100 can achieve maximum 21.7 and average 14.1 speed up compared with 28 MPI tasks on two Intel CPUs Xeon Gold 6132.

Artificial tumor microenvironment regulated by first hemorrhage for enhanced tumor targeting and then occlusion for synergistic bioactivation of hypoxia-sensitive platesomes

The unique characteristics of the tumor microenvironment(TME)could be exploited to develop antitumor nanomedicine strategies.However,in many cases,the actual therapeutic effect is far from reaching our expectations due to the notable tumor heterogeneity.Given the amplified characteristics of TME regulated by vascular disrupting agents(VDAs),nanomedicines may achieve unexpected improved efficacy.Herein,we fabricate platelet membrane-fusogenic liposomes(PML/DP&PPa),namely“platesomes”,which actively load the hypoxia-activated pro-prodrug DMG-PR104A(DP)and physically encapsulate the photosensitizer pyropheophorbide a(PPa).Considering the different stages of tumor vascular collapse and shutdown induced by a VDA combretastatin-A4 phosphate(CA4P),PML/DP&PPa is injected 3 h after intraperitoneal administration of CA4P.First,CA4P-mediated tumor hemorrhage amplifies the enhanced permeation and retention(EPR)effect,and the platesome-biological targeting further promotes the tumor accumulation of PML/DP&PPa.Besides,CA4P-induced vascular occlusion inhibits oxygen supply,followed by photodynamic therapy-caused acute tumor hypoxia.This prolonged extreme hypoxia contributes to the complete activation of DP and then high inhibitory effect on tumor growth and metastasis.Thus,such a combining strategy of artificially-regulated TME and bio-inspired platesomes pronouncedly improves tumor drug delivery and boosts tumor hypoxia-selective activation,and provides a preferable solution to high-efficiency cancer therapy.

Bond sensitive graph neural networks for predicting high temperature superconductors

Finding high temperature superconductors(HTS)has been a continuing challenge due to the difficulty in predicting the transition temperature(Tc)of superconduc-tors.Recently,the efficiency of predicting Tc has been greatly improved via ma-chine learning(ML).Unfortunately,prevailing ML models have not shown adequate generalization ability to find new HTS,yet.In this work,a graph neural network model is trained to predict the maximal Tc(Tc max)of various materials.Our model reveals a close connection between Tc max and chemical bonds.It sug-gests that shorter bond lengths are favored by high Tc,which is in coherence with previous domain knowledge.More importantly,it also indicates that chemical bonds consisting of some specific chemical elements are responsible for high Tc,which is new even to the human experts.It can provide a convenient guidance to the materials scientists in search of HTS.

基于显微镜数字图像的荧光免疫层析定量检测方法

荧光免疫层析定量检测技术已被广泛应用于临床检测领域,如新型冠状病毒肺炎的筛查和检测。为了提高检测精准度,提出了基于荧光显微镜数字图像处理的荧光免疫层析定量检测方法。首先构建了显微系统的光通量损失方程,然后根据面阵CCD输出的数字图像特征提取原始图像中的RGB分量并对其进行加权处理,之后拟合了面阵CCD的量子响应速率曲线,获得了荧光信号的相对强度。根据荧光信号强度即可反演出待测物的浓度。实验验证后可知,检测结果的变异系数为3.04%,线性拟合系数大于0.99。本检测方法可对最低质量浓度为0.1 ng/mL的待测物进行准确检测,适用于CCD成像型荧光显微镜系统,对荧光检测具有一定的参考意义。

MilkyWay-2 supercomputer： system and application

On June 17, 2013, MilkyWay-2 （Tianhe-2） supercomputer was crowned as the fastest supercomputer in the world on the 41th TOP500 list. This paper provides an overview of the MilkyWay-2 project and describes the design of hardware and software systems. The key architecture features of MilkyWay-2 are highlighted, including neo-heterogeneous compute nodes integrating commodity- off-the-shelf processors and accelerators that share similar instruction set architecture, powerful networks that employ proprietary interconnection chips to support the massively parallel message-passing communications, proprietary 16- core processor designed for scientific computing, efficient software stacks that provide high performance file system, emerging programming model for heterogeneous systems, and intelligent system administration. We perform extensive evaluation with wide-ranging applications from LINPACK and Graph500 benchmarks to massively parallel software deployed in the system.

Hybrid hierarchy storage system in MilkyWay-2 supercomputer

With the rapid improvement of computation capability in high performance supercomputer system, the imbalance of performance between computation subsystem and storage subsystem has become more and more serious, especially when various big data are produced ranging from tens of gigabytes up to terabytes. To reduce this gap, large-scale storage systems need to be designed and implemented with high performance and scalability. MilkyWay-2 （TH-2） supercomputer system with peak performance 54.9 Props, definitely has this kind of requirement for storage system. This paper mainly introduces the storage system in MilkyWay-2 supercomputer, including the hardware architecture and the parallel file system. The storage system in MilkyWay-2 supercomputer exploits a novel hybrid hierarchy storage architecture to enable high scalability of I/O clients, I/O bandwidth and storage capacity. To fit this architecture, a user level virtualized file system, named H^2FS, is designed and implemented which can cooperate local storage and shared storage together into a dynamic single namespace to optimize I/O performance in IO-intensive applications. The evaluation results show that the storage system in MilkyWay-2 supercomputer can satisfy the critical requirements in large scale supercomputer, such as performance and scalability.

Call for Papers Special Issue on High-Performance Computing for the Next Decade

The publication of Tsinghua Science and Technology was started in 1996.Since then,it has been an international academic journal sponsored by Tsinghua University and published bimonthly.This journal aims at presenting the state-of-the-art scientific achievements in computer science and other IT fields.