NONCONFORMING STABILIZED FINITE ELEM ENTMETHODS BASED ON RIESZ-REPRESENTING OPERATORS

Follow ing the fram ew ork of the finite elem ent m ethods based on Riesz-representing operators developed by Duan Huoyuan in 1997,through discreteRieszrepresenting-operators on som e virtual(non-) conform ing finite-dim ensionalsubspaces,a stabilization form ulation is pre- sented for the Stokes problem by em ploying nonconform ing elem ents.This form ulation is uni- form ly coercive and notsubject to the Babus ka-Brezzicondition,and the resulted linear algebraic system is positive definitew ith the spectralcondition num berO(h- 2 ). Quasi-optim alerrorbounds are obtained,which is consistentwith the interpola- tion properties ofthe finite elem entsused.

Discriminatively learning for representing local image features with quadruplet model

Traditional hand-crafted features for representing local image patches are evolving into current data-driven and learning-based image feature, but learning a robust and discriminative descriptor which is capable of controlling various patch-level computer vision tasks is still an open problem. In this work, we propose a novel deep convolutional neural network(CNN) to learn local feature descriptors. We utilize the quadruplets with positive and negative training samples, together with a constraint to restrict the intra-class variance, to learn good discriminative CNN representations. Compared with previous works, our model reduces the overlap in feature space between corresponding and non-corresponding patch pairs, and mitigates margin varying problem caused by commonly used triplet loss. We demonstrate that our method achieves better embedding result than some latest works, like PN-Net and TN-TG, on benchmark dataset.

The terrestrial isopod,Cylisticus convexus(de Geer,1778),representing a new record family in China(Oniscidea)

Among the 11 suborders of Isopoda,Oniscidea is the only one that is completely adapted to land life.It is widely distributed in the world,with 38 families and 3,814 species(WoRMS,2021).Thirteen accepted families and one incertae sedis genus of the suborder Oniscidea have been reported from China,namely Agnaridae Schmidt,2003,Alloniscidae Schmidt,2003,Armadillidae Brandt,1831,Armadillidiidae Brandt,1833,Detonidae Budde-Lund,1904,Halophilosciidae Verhoeff,1908,Ligiidae Leach,1814,Philosciidae Kinahan,1857,Platyarthridae Verhoeff,1949,Porcellionidae Brandt,1831,Styloniscidae Vandel,1952,Trachelipodidae Strouhal,1953,Tylidae Dana,1852 and Exalloniscus Stebbing,1911(Chen,2003;Schmalfuss,2003a;WoRMS,2021).

SCORCHING THE ICE Donovan Carrillo,the figure skating ace representing Mexico at the 2022 Olympics

Just getting close to the rink is enough to send icy shivers down many a spine.Yet it doesn’t seem to bother the skaters in the least;what’s more,they enjoy it.They move through the white space with agility and mastery,spinning through the air as if Mother Nature never intended for them to walk the actual ground.

REPRESENTING THE PEOPLE

The annual sessions of the National People’s Congress(NPC)and the Chinese People’s Political Consultative Conference(CPPCC)National Committee,China’s top legislature and political advisory body,respectively,are a major part of China’s political calendar.During the Two Sessions,deputies to the NPC and members of the CPPCC National Committee gather in Beijing.

Compulsive Repetition of Rupture： Strategies of Representing Trauma

This article focuses on the strategies that literature and cultural criticism adopt to represent trauma in comparison to a current medical definition. The contemporary medical definition, trauma as post-traumatic stress disorder （PTSD）, is the most narrow and specific definition to discuss trauma. The discourse of medicine does not necessarily match those of literature and cultural criticism, nor need they conform to each other. PTSD includes a collection of symptoms, any one of which might not have anything to do with traumatic experience, but which together point with increasing intensity to a psychological syndrome caused by traumatic shock. Although this is historically a recently defined syndrome （1980）, its features had long before attracted attention and been recorded under other terms and diagnoses. Although Chinese literature is only occasionally given to psychological realism, we do find occasional descriptions that strongly suggest aspects of the syndrome. Also, the aims and the needs of medicine and literature or cultural criticism are not necessarily the same, but it is important to explore in greater detail the aims and the needs of literature and cultural criticism.

COP28 Makes It Official: Fossil Fuels Cause Climate Change

On November 30,2023,amidst outrage over its leadership’s ties to the oil and gas industry[1],COP28—shorthand for the 28th United Nations(UN)“Conference of the Parties”Climate Change meeting—began in Dubai,United Arab Emirates(UAE).However,by the end of the conference on December 12,its attendees had surprisingly reached agreement on a handful of steps to address the challenges posed by climate change.The biggest surprise?Explicitly identifying fossil fuels as the root cause of climate change.For the first time in the summit’s 28-year history,delegates representing nearly 200 countries acknowledged the role of fossil fuels in driving climate change.They agreed to work on “transitioning away from fossil fuels in energy systems,in a just,orderly,and equitable manner,accelerating action in this critical decade,so as to achieve net zero by 2050 in keeping with the science”[2].

m^(1)A inhibition fuels oncolytic virus-elicited antitumor immunity via downregulating MYC/PD-L1 signaling

N^(1)-methyladenosine(m^(1)A)RNA methylation is critical for regulating mRNA translation;however,its role in the development,progression,and immunotherapy response of head and neck squamous cell carcinoma(HNSCC)remains largely unknown.Using Tgfbr1 and Pten conditional knockout(2cKO)mice,we found the neoplastic transformation of oral mucosa was accompanied by increased m^(1)A modification levels.Analysis of m^(1)A-associated genes identified TRMT61A as a key m^(1)A writer linked to cancer progression and poor prognosis.Mechanistically,TRMT61A-mediated tRNA-m^(1)A modification promotes MYC protein synthesis,upregulating programmed death-ligand 1(PD-L1)expression.Moreover,m^(1)A modification levels were also elevated in tumors treated with oncolytic herpes simplex virus(oHSV),contributing to reactive PD-L1 upregulation.Therapeutic m^(1)A inhibition sustained oHSV-induced antitumor immunity and reduced tumor growth,representing a promising strategy to alleviate resistance.These findings indicate that m^(1)A inhibition can prevent immune escape after oHSV therapy by reducing PD-L1 expression,providing a mutually reinforcing combination immunotherapy approach.

全球人工智能专家共同探讨挑战、趋势和标准化

With the rapid evolution of artificial intelligence(AI)and the race for governments to regulate it,the need for international consensus has never been greater.International standards can be valuable tools in the responsible deployment of AI,representing the needs and requirements of all stakeholders and providing global best practice.

Editorial for the Special Issue on Natural Medicine

As the world continues to search for innovative therapeutic solutions,the field of natural medicines has emerged as a vibrant area of research.The potential of natural products to treat a wide range of diseases,coupled with the relatively low sideeffects of such products,has captured the attention of scientists,clinicians,and the general public alike.This Special Issue on Natural Medicine aims to present the latest advancements in this exciting field,highlighting both fundamental research and clinical applications.The collection of articles in this Special Issue covers a broad spectrum of topics,ranging from medicinal chemistry to biological mechanisms,and from the study of single botanic compounds to complex plant formulas.We are particularly pleased to include a comprehensive review by Yi Wang et al.on the bioactivities,mechanisms,production,and potential application of bile acids in preventing and treating infectious diseases.This review not only summarizes the current landscape of bile acids research but also highlights several promising compounds for future investigations,such as the recent interest in ursodeoxycholic acid.In a related topic,Shishan Yu’s team has developed artificial bear bile using synthetic chemistry and enzyme engineering,providing a sustainable substitute for natural bear bile.This innovation meets medical needs while addressing animal welfare issues,representing a notable progression in the field.

Cover Story

Traditional villages are cultural heritage sites representing stages of historical development,with unique regional cultural characteristics and significant cultural values,and their preservation should focus on integrity,authenticity,and egrity,au continuity,The protection and development of traditional villages should be guided by a scientifically sound approach.Post-disaster reconstruction is a topic of global concen,and trnditional villages,with their special heritage nttributes,face additional demands and obstacles in post-disaster reconstruction.Post-disaster reconstruction of traditional villages is a dynamic process of changing the production and livelihoods of affected residents while restoring and protecting heritage during this process,Concretely,it is urgent to identify thc main problems faced by post-disaster recovery and reconstruction of traditional vil lages based on the heritage attributes,and probes the protection planning design paths and revitalization strategies accor dingly.

Solving Quantum Many-Particle Models with Graph Attention Network

Deep learning methods have been shown to be effective in representing ground-state wavefunctions of quantum many-body systems,however the existing approaches cannot be easily used for non-square like or large systems.Here.we propose a variational ansatz based on the graph attention network(GAT)which learns distributed latent representations and can be used on non-square lattices.

From Major-Countries Coordination to Global Mechanisms:an Analysis of the Global Governance of Large AI Models

The global governance of large artificial intelligence(AI)models calls for urgent actions.Large models,representing a type of technological innovation,is advancing global technological progress and is also compelling the international community’s attention to the role of global governance system in coordinating the development of AI.In building a global governance mechanism for large models,both traditional governance system and new international system should be explored to construct Regime Complexes for the governance of large models.

Attica's Message to Chinese Tourists:We Will Pleasantly Surprise You-Exclusive Interview with Nikos Hardalias,Governor of Greece’s Attica Region

CHINA and Greece,representing two ancient civilizations,hold an enduring appeal for tourists due to their spectacular cultures.The Region of Attica in Greece has an enchantment of its own due to its place in history,when its primary city Athens was a center of learning in Europe.It is therefore no surprise that Greece-and the Region of Attica-would be present at a major tourism event in China.With international tourism warming up,the ITB China 2024.

Three working groups on commercial aerospace established

In order to implement the spirits of the Central Economic Work Conference and systematically promote the standardization work of commercial aerospace,SAC/TC 425,Space technology and operation,recently established three working groups for emerging fields and strategic emerging industries related to commercial aerospace.The work scope of WG 1 on commercial aircraft launching covers the standards research,development and revision for operation support,process,industrial chains,and other fields of launching.It is also responsible for the updating of standards documents published by correspondent international standardization organizations for further analysis and adoption.WG 2 on the application of satellite internet is responsible for the research,development and revision of standards in areas such as the application scenarios and demands,functions and process,interfaces and data forms of satellite internet.Its first batch of members consists of 29 service providers,operators,equipment manufacturers,and parties representing public interests in this field.

Enduring Importance

On 5 March,national and global spotlight turned to the Great Hall of the People in Beijing where around 3,000 deputies gathered to open the second session of the 14th National People’s Congress(NPC).Over a span of seven days,the deputies,representing all of China’s ethnic groups,regions and sectors,discussed and decided on a range of issues critical for the country’s development.

Data-driven methods for predicting the representative temperature of bridge cable based on limited measured data

Cable-stayed bridges have been widely used in high-speed railway infrastructure.The accurate determination of cable’s representative temperatures is vital during the intricate processes of design,construction,and maintenance of cable-stayed bridges.However,the representative temperatures of stayed cables are not specified in the existing design codes.To address this issue,this study investigates the distribution of the cable temperature and determinates its representative temperature.First,an experimental investigation,spanning over a period of one year,was carried out near the bridge site to obtain the temperature data.According to the statistical analysis of the measured data,it reveals that the temperature distribution is generally uniform along the cable cross-section without significant temperature gradient.Then,based on the limited data,the Monte Carlo,the gradient boosted regression trees(GBRT),and univariate linear regression(ULR)methods are employed to predict the cable’s representative temperature throughout the service life.These methods effectively overcome the limitations of insufficient monitoring data and accurately predict the representative temperature of the cables.However,each method has its own advantages and limitations in terms of applicability and accuracy.A comprehensive evaluation of the performance of these methods is conducted,and practical recommendations are provided for their application.The proposed methods and representative temperatures provide a good basis for the operation and maintenance of in-service long-span cable-stayed bridges.

Assessing the impact of climate change on agricultural production in central Afghanistan

Afghanistan has faced extreme climatic crises such as drought,rising temperature,and scarce precipitation,and these crises will likely worsen in the future.Reduction in crop yield can affect food security in Afghanistan,where the majority of population and economy are completely dependent on agriculture.This study assessed the interaction between climate change and crop yield in Kabul of Afghanistan during the reference(1990–2020)and future(2025–2100)periods.Climate data(1990–2020)were collected from four meteorological stations and three local organizations,and wheat yield data(1990–2020)were acquired from the United States Agriculture Department.Data during the reference period(1990–2020)were used for the validation and calibration of the statistical downscaling models such as the Statistical Downscaling Model(SDSM)and Long Ashton Research Station Weather Generator(LARS-WG).Furthermore,the auto-regression model was used for trend analysis.The results showed that an increase in the average annual temperature of 2.15℃,2.89℃,and 4.13℃will lead to a reduction in the wheat yield of 9.14%,10.20%,and 12.00%under Representative Concentration Pathway(RCP)2.6,RCP4.5,and RCP8.5 during the future period(2025–2100),respectively.Moreover,an increase in the annual maximum temperature of 1.79℃,2.48℃,and 3.74℃also causes a significant reduction in the wheat yield of 2.60%,3.60%,and 10.50%under RCP2.6,RCP4.5,and RCP8.5,respectively.Furthermore,an increase in the annual minimum temperature of 2.98℃,2.23℃,and 4.30℃can result in an increase in the wheat yield of 6.50%,4.80%,and 9.30%under RCP2.6,RCP4.5,and RCP8.5,respectively.According to the SDSM,the decrease of the average monthly precipitation of 4.34%,4.10%,and 5.13%results in a decrease in the wheat yield of 2.60%,2.36%,and 3.18%under RCP2.6,RCP4.5,and RCP8.5,respectively.This study suggests that adaptation strategies can be applied to minimize the consequences of climate change on agricultural production.

基于有限元计算细观力学的RVE库的建立与应用

基于有限元计算细观力学理论,以MSC.PATRAN为平台,利用PCL(PATRAN command language)实现RVE(repr-esentative volume element)的参数化自动建模,建立RVE库,集成相应的细观力学计算程序,一体化预测复合材料宏观性能。通过工程实例,调用RVE库中的平纹编织复合材料RVE,预测平纹编织C/SiC复合材料的宏观弹性模量,对空天飞机全C/SiC复合材料机身襟翼进行静力有限元计算,实现结构材料一体化设计。

From bulk, single-cell to spatial RNA sequencing

RNA sequencing(RNAseq)can reveal gene fusions,splicing variants,mutations/indels in addition to differential gene expression,thus providing a more complete genetic picture than DNA sequencing.This most widely used technology in genomics tool box has evolved from classic bulk RNA sequencing(RNAseq),popular single cell RNA sequencing(scRNAseq)to newly emerged spatial RNA sequencing(spRNAseq).Bulk RNAseq studies average global gene expression,scRNAseq investigates single cell RNA biology up to 20,000 individual cells simultaneously,while spRNAseq has ability to dissect RNA activities spatially,representing next generation of RNA sequencing.This article highlights these technologies,characteristic features and suitable applications in precision oncology.