When Does Sora Show:The Beginning of TAO to Imaginative Intelligence and Scenarios Engineering

DURING our discussion at workshops for writing“What Does ChatGPT Say:The DAO from Algorithmic Intelligence to Linguistic Intelligence”[1],we had expected the next milestone for Artificial Intelligence(AI)would be in the direction of Imaginative Intelligence(II),i.e.,something similar to automatic wordsto-videos generation or intelligent digital movies/theater technology that could be used for conducting new“Artificiofactual Experiments”[2]to replace conventional“Counterfactual Experiments”in scientific research and technical development for both natural and social studies[2]-[6].Now we have OpenAI’s Sora,so soon,but this is not the final,actually far away,and it is just the beginning.

Attention Markets of Blockchain-Based Decentralized Autonomous Organizations

The attention is a scarce resource in decentralized autonomous organizations(DAOs),as their self-governance relies heavily on the attention-intensive decision-making process of“proposal and voting”.To prevent the negative effects of pro-posers’attention-capturing strategies that contribute to the“tragedy of the commons”and ensure an efficient distribution of attention among multiple proposals,it is necessary to establish a market-driven allocation scheme for DAOs’attention.First,the Harberger tax-based attention markets are designed to facilitate its allocation via continuous and automated trading,where the individualized Harberger tax rate(HTR)determined by the pro-posers’reputation is adopted.Then,the Stackelberg game model is formulated in these markets,casting attention to owners in the role of leaders and other competitive proposers as followers.Its equilibrium trading strategies are also discussed to unravel the intricate dynamics of attention pricing.Moreover,utilizing the single-round Stackelberg game as an illustrative example,the existence of Nash equilibrium trading strategies is demonstrated.Finally,the impact of individualized HTR on trading strategies is investigated,and results suggest that it has a negative correlation with leaders’self-accessed prices and ownership duration,but its effect on their revenues varies under different conditions.This study is expected to provide valuable insights into leveraging attention resources to improve DAOs’governance and decision-making process.

The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence

THE tremendous impact of large models represented by ChatGPT[1]-[3]makes it necessary to con-sider the practical applications of such models[4].However,for an artificial intelligence(AI)to truly evolve,it needs to possess a physical“body”to transition from the virtual world to the real world and evolve through interaction with the real environments.In this context,“embodied intelligence”has sparked a new wave of research and technology,leading AI beyond the digital realm into a new paradigm that can actively act and perceive in a physical environment through tangible entities such as robots and automated devices[5].

Application of Sargassum fusiforme(Harv.)Setch.Extract in Cigarettes

[Objectives]This study was conducted to investigate the application of Sargassum fusiforme(Harv.)Setch.in cigarettes.[Methods]Tobacco-specific nitrosamines in the smoke of cigarettes added with ethanol extract of S.fusiforme were determined,and the compounds related to the aroma of S.fusiforme were identified by flavor-smelling experiment.[Results]With the addition of the ethanol extract of S.fusiforme,the decrease in the total amount of four tobacco-specific nitrosamines in mainstream cigarette smoke reached 16.42%.The results of the flavor-smelling experiment showed that the aroma of S.fusiforme might be related to(R)-5,6,7,7A-tetrahydro-4,4,7A-trimethyl-2(4H)-benzofuranone,glycerol,ethyl palmitate,methyl palmitate,ethyl linoleate,methyl(Z,Z,Z)-9,12,15-octadecatrienoate,ethyl(Z,Z,Z)-9,12,15-octadecatrienoate,phytol,and tetradecanoic acid.[Conclusions]The ethanol extract of S.fusiforme has the potential function of reducing the content of tobacco-specific nitrosamines in smoke and improving the taste of cigarettes.

Chat with ChatGPT on Industry 5.0:Learning and Decision-Making for Intelligent Industries

THE current ChatGPT phenomenon has signaled a new era of Artificial Intelligence moving from Algorithmic Intelligence to Linguistic Intelligence where interactive activities between actual and artificial,real and virtual,human and machine play an active and important role online and in real-time.At IEEE/CAA JAS,we are interested in investigating the impact and significance of this new era on industrial development,especially control and automation for manufacturing and production.

The TAO of Blockchain Intelligence for Intelligent Web 3.0

WE are in an exciting new intelligent era where various Web 3.0 systems emerge and flourish.[1]–[3].In this new epoch,the collaboration of data and knowledge,humans and machines,actual and virtual worlds is undergoing an unprecedented diversification and community-driven transformation,unveiling an open future full of boundless possibilities.However,the value of dispersed data extends far beyond passive storage and application.

Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability?

Plants sequester carbon through photosynthesis and provide primary productivity for the ecosystem. However, they also simultaneously consume water through transpiration, leading to a carbon-water balance relationship. Agricultural production can be regarded as a form of carbon sequestration behavior.From the perspective of the natural-social-economic complex ecosystem, excessive water usage in food production will aggravate regional water pressure for both domestic and industrial purposes. Hence, achieving a harmonious equilibrium between carbon and water resources during the food production process is a key scientific challenge for ensuring food security and sustainability. Digital intelligence(DI) and cyber-physical-social systems(CPSS) are emerging as the new research paradigms that are causing a substantial shift in the conventional thinking and methodologies across various scientific fields, including ecological science and sustainability studies. This paper outlines our recent efforts in using advanced technologies such as big data, artificial intelligence(AI), digital twins, metaverses, and parallel intelligence to model, analyze, and manage the intricate dynamics and equilibrium among plants, carbon, and water in arid and semiarid ecosystems. It introduces the concept of the carbon-water balance and explores its management at three levels: the individual plant level, the community level, and the natural-social-economic complex ecosystem level. Additionally, we elucidate the significance of agricultural foundation models as fundamental technologies within this context. A case analysis of water usage shows that, given the limited availability of water resources in the context of the carbon-water balance, regional collaboration and optimized allocation have the potential to enhance the utilization efficiency of water resources in the river basin. A suggested approach is to consider the river basin as a unified entity and coordinate the relationship between the upstream, midstream and downstream areas. Furthermore, establishing mechanisms for water resource transfer and trade among different industries can be instrumental in maximizing the benefits derived from water resources.Finally, we envisage a future of agriculture characterized by the integration of digital, robotic and biological farming techniques.This vision aims to incorporate small tasks, big models, and deep intelligence into the regular ecological practices of intelligent agriculture.

Digital CEOs in Digital Enterprises:Automating,Augmenting,and Parallel in Metaverse/CPSS/TAOs

BIG models or foundation models are rapidly emerging as a key force in advancing intelligent societies[1]–[3]Their significance stems not only from their exceptional ability to process complex data and simulate advanced cognitive functions,but also from their potential to drive innovation across various industries.

Computational Experiments for Complex Social Systems:Experiment Design and Generative Explanation

Powered by advanced information technology,more and more complex systems are exhibiting characteristics of the cyber-physical-social systems(CPSS).In this context,computational experiments method has emerged as a novel approach for the design,analysis,management,control,and integration of CPSS,which can realize the causal analysis of complex systems by means of“algorithmization”of“counterfactuals”.However,because CPSS involve human and social factors(e.g.,autonomy,initiative,and sociality),it is difficult for traditional design of experiment(DOE)methods to achieve the generative explanation of system emergence.To address this challenge,this paper proposes an integrated approach to the design of computational experiments,incorporating three key modules:1)Descriptive module:Determining the influencing factors and response variables of the system by means of the modeling of an artificial society;2)Interpretative module:Selecting factorial experimental design solution to identify the relationship between influencing factors and macro phenomena;3)Predictive module:Building a meta-model that is equivalent to artificial society to explore its operating laws.Finally,a case study of crowd-sourcing platforms is presented to illustrate the application process and effectiveness of the proposed approach,which can reveal the social impact of algorithmic behavior on“rider race”.

Multi-Blockchain Based Data Trading Markets With Novel Pricing Mechanisms

In the era of big data,there is an urgent need to establish data trading markets for effectively releasing the tremendous value of the drastically explosive data.Data security and data pricing,however,are still widely regarded as major challenges in this respect,which motivate this research on the novel multi-blockchain based framework for data trading markets and their associated pricing mechanisms.In this context,data recording and trading are conducted separately within two separate blockchains:the data blockchain(DChain) and the value blockchain(VChain).This enables the establishment of two-layer data trading markets to manage initial data trading in the primary market and subsequent data resales in the secondary market.Moreover,pricing mechanisms are then proposed to protect these markets against strategic trading behaviors and balance the payoffs of both suppliers and users.Specifically,in regular data trading on VChain-S2D,two auction models are employed according to the demand scale,for dealing with users’ strategic bidding.The incentive-compatible Vickrey-Clarke-Groves(VCG)model is deployed to the low-demand trading scenario,while the nearly incentive-compatible monopolistic price(MP) model is utilized for the high-demand trading scenario.With temporary data trading on VChain-D2S,a reverse auction mechanism namely two-stage obscure selection(TSOS) is designed to regulate both suppliers’ quoting and users’ valuation strategies.Furthermore,experiments are carried out to demonstrate the strength of this research in enhancing data security and trading efficiency.

学科核心素养视角下的高中数学新教材使用研究——以湘教版必修第一册为例

随着新课程的不断推进,新的教材已经普遍应用于高中课程。一线数学教师需要通过深入研究新课程、挖掘新教材、探索新高考,才能适应新课程、应对新高考。本研究立足新课标,着力数学学科核心素养,在湘教版教材的使用过程中,结合新教材编写规律和使用感受,从教材的编排、引言、栏目、信息技术与学科融合、数学文化的渗透、学科间的交融六个方面进行了探讨研究与举例,并从单元教学、数学文化背景、信息技术促进课堂发展三个方面提出教学启示。

LKB1 depletion-mediated epithelial-mesenchymal transition induces fibroblast activation in lung fibrosis

The factors that determine fibrosis progression or normal tissue repair are largely unknown.We previously demonstrated that autophagy inhibition-mediated epithelial-mesenchymal transition(EMT)in human alveolar epithelial type Il(ATIl)cells augments local myofibroblast differentiation in pulmonary fibrosis by paracrine signaling.Here,we report that liver kinase B1(LKB1)inactivation in ATIl cells inhibits autophagy and induces EMT as a conse-quence.In IPF lungs,this is caused by the down-regulation of CAB39L,a key subunit within the LKB1 complex.3D co-cultures of ATIl cells and MRC5 lung fibroblasts coupled with RNA sequencing(RNA-seq)confirmed that paracrine signaling between LKB1-depleted ATIl cells and fibroblasts augmented myofibroblast differentiation.Together,these data suggest that reduced autophagy caused by LKB1 inhibition can induce EMT in ATIl cells and contribute to fibrosis via aberrant epithelial-fibroblast crosstalk.

The engineering of circular causality for specialization and design of complex systems:cad2CAS and casCAD2

The emergence of decentralized autonomous organizations and operations(DAOs),equipped with innovative mechanisms,enables new possibilities for transforming traditional social collaborative relationships.Mechanisms are the underlying driver for DAOs.However,as a complex system encompassing both social complexity and engineering complexity.

DNA damage chemotherapeutic drugs suppress basal-like breast cancer growth by down-regulating the transcription of the FOXO1-KLF5 axis

Most basal-like breast cancers(BLBCs)have a poor prognosis and high crossover with triple-negative breast cancers(TNBCs).However,approximately 50%of TNBC patients develop chemoresistance.^(1) Dexamethasone reportedly induces Krüppel-like factor 5(KLF5)and can cause docetaxel and cisplatin resistance in TNBC.A super-enhancer can maintain the transcription of KLF5.

云南特有少数民族成人维生素A营养状况分析

目的 分析云南特有少数民族成人维生素A(VA)营养状况,为制定合理膳食促进措施提供科学依据。方法 在2016年至2020年,按第六次全国人口普查的性别和年龄结构,抽取独龙族等7个民族共841名成人。通过高效液相色谱法检测血清VA水平,并按WHO推荐标准进行判定;通过膳食调查计算VA摄入量,并按膳食指南推荐标准进行评价。结果 调查对象血清VA水平为0.55(0.44~0.68) mg/L,且存在显著的性别、民族、文化和收入差异(P <0.05)。VA缺乏率为0.7%,边缘缺乏率为3.7%。膳食VA摄入量中位数为406.0μg视黄醇当量,其中67.0%的调查对象VA摄入低于平均需要量。86.6%的膳食VA来源于深色蔬菜、蛋类、浅色蔬菜和畜禽肉类。结论 云南特有少数民族的血清VA相对充足,但VA膳食摄入状况仍有待改善,特别是在某些民族和老年、低收入人群中。

Advances in Hard Tissue Engineering Materials——Nanocellulose-based Composites

Nanocellulose(NC) has attracted much interest in the tissue engineering(TE) field because of its properties including biocompatibility,renewability, non-toxicity, functionality, and excellent mechanical performance. This review mainly focused on the advanced applications of NC-based composites in hard TE including cartilage TE, bone TE, and dental TE, illustrated the processing methods for synthesizing scaffolds including electrospinning, freeze-drying, and 3 D printing, reviewed the current status of hard TE, and presented perspective on the future of TE technology.

Screening and Purification of Natural Products from Actinomycetes that Induce a“Rounded”Morphological Phenotype in Fission Yeast

This study was designed to identify and investigate bioactive natural product compounds that alter the cellular shape of the fission yeast Schizosaccharomyces pombe and induce a“rounded”or“small”cellular morphological phenotype.Bioassays using a range of antifungal agents against a multidrug-sensitive fission yeast strain,SAK950 showed that many induced a“rounded”phenotype.We then investigated whether 46 of the actinomycete strains identified in our previous study as inducing a similar phenotype produced antifungal agents of similar classes.We show that five of the strains produced streptothricin and that 26 strains produced polyenes,including fungichromin,filipin and candicidin,the last of which was produced by 24 strains.A taxonomic study of the strains indicated that the majority of the candicidin only producers were Streptomyces hydrogenans and S.albidoflavus whilst those that additionally produced streptothricin were related to S.enissocaesilis.A follow-up study to investigate the natural products made by related strains indicated that they followed a similar pattern.The identification of several compounds from the actinomycete strains similar to the antifungal agents initially tested confirm the validity of an approach using the S.pombe morphological phenotype and actinomycete taxonomy as a predictive tool for natural product identification.

Genome-wide identification of U-box gene family and expression analysis under abiotic stresses in Salvia miltiorrhiza

Plant U-box(PUB)E3 ubiquitin ligases play important roles in hormone signaling pathways and in response to different abiotic stresses,but little is known about U-box genes in Danshen(root of Salvia miltiorrhiza Bunge).Here,we identified and characterized 70 SmPUB genes based on its genome sequence.Phylogenetic analysis of U-box genes from S.miltiorrhiza and Arabidopsis suggested that they can be clustered into seven subgroups(I–VII).Typical U-box domains were found in all identified SmPUB genes through the analysis of conserved motifs.Moreover,qRT-PCR was applied to analyze the relative expression levels of U-box genes in S.miltiorrhiza roots and leaves under PEG-induced water deficit and salt stresses.Results revealed that the SmPUB genes exhibited stronger response to drought than to salt stress.To the best of our knowledge,this report is the first to perform genome-wide identification and analysis of the U-box gene family in S.miltiorrhiza,and the results provide valuable information for better understanding of the function of U-box in S.miltiorrhiza.

Genome-wide identification of NAC gene family and expression analysis under abiotic stresses in Salvia miltiorrhiza

NAC(NAM,ATAF,CUC)is a class of transcription factors involved in plant growth regulation,abiotic stress responses,morphogenesis and metabolism.Salvia miltiorrhiza is an important Chinese medicinal herb,but the characterization of NAC genes in this species is limited.In this study,based on the Salvia miltiorrhiza genomic databases,82 NAC transcription factors were identified,which were divided into 14 groups.Meanwhile,phylogenetic analysis,gene structure,chromosomal localization and potential role of SmNACs in abiotic stress conditions were also studied.The results revealed that some SmNACs had different structures than others,which advised that these genes may have multiple/distinct functions.Real-time quantitative polymerase chain reaction(RT-qPCR)analysis showed that SmNACs exhibited differential expression patterns under salt and drought stress.The NaCl induced salinity treatments modulated the expression of several SmNAC genes more in roots compared with leaves.Conversely,under drought stress conditions,more genes were upregulated in leaves compared with roots.These results will be useful for the further study involved in the functional characteristics of SmNAC genes,especially in response to salt and drought stresses,thereby may facilitate genetic breeding in Salvia miltiorrhiza.