Revitalizing Human-Robot Interaction: Phygital Twin Driven Robot Avatar for China-Sweden Teleoperation

1 Introduction Digital Twin(DT)is built and maintained in the digital rather physical realm[1,2].Dynamic DT mirrors the exact state of the physical system by means of multidimensional models describing the behavior of physical entity,and sensors providing the real-time coupling to models[3].Te outbreak of COVID-19 pandemic results in speeding up the virtualization and digitization of the physical entity with the support from DT.Nevertheless,quarantine and division led by COVID-19 pandemic make human beings’eyes for the physical interaction become more eager.Te physical world and the digital world are becoming interwoven,which indicates a new opportunity towards phygital twin.As is so often the question:how can I get closer to my distant companion?How can I extend my service or emotional concern to facilitate interaction in spite of space obstruction?Tese questions deserve thinking as a lesson learned from outbreak of COVID-19 pandemic.

A novel deep generative model for mRNA vaccine development: Designing 5′ UTRs with N1-methyl-pseudouridine modification

Efficient translation mediated by the 5'untranslated region(5'UTR)is essential for the robust efficacy of mRNA vaccines.However,the N1-methyl-pseudouridine(m1)modification of mRNA can impact the translation efficiency of the 5'UTR.We discovered that the optimal 5'UTR for m1y-modified mRNA(m1y-5'UTR)differs significantly from its unmodified counterpart,high-lighting the need for a specialized tool for designing mly-5'UTRs rather than directly utilizing high-expression endogenous gene 5'UTRs.In response,we developed a novel machine learning-based tool,Smart5UTR,which employs a deep generative model to identify superior m1y-5'UTRs in silico.The tailored loss function and network architecture enable Smart5UTR to overcome limitations inherent in existing models.As a result,Smart5UTR can successfully design superior 5'UTRs,greatly benefiting mRNA vaccine development.Notably,Smart5UTR-designed superior 5'UTRs significantly enhanced antibody titers induced by COVID-19 mRNA vaccines against the Delta and Omicron variants of SARS-CoV-2,surpassing the performance of vaccines using high-expression endogenous gene 5'UTRs.

On the low cycle fatigue behaviour of an Al-Zn-Mg-Cu alloy processed via non-isothermal ageing

The low cycle fatigue behaviour of an Al-Zn-Mg-Cu alloy processed via non-isothermal ageing(NIA)was examined at different strain amplitudes.We showed that NIA improved the low cycle fatigue life(more than 7000 cycles)by optimising the precipitate configuration within 5.5 h while maintaining comparable mechanical properties(570 MPa for tensile strength)and conductivity(nearly 39%IACS)to conventional isothermal ageing,simultaneously.Experimental observation combined with molecular dynamic simula-tion revealed that precipitation configuration manipulated by NIA had a crucial effect on fatigue resis-tance.A great number of repeatedly sheared and locally destructed GP zones enhanced co-planar slip and slip localisation in the under-aged alloy during the early stage of NIA,responsible for the dramatic displacement steps on the surface and resultant poor fatigue performance.As the NIA further proceeded,moderately coarsened precipitates with an average dimension of 6.0 nm and elevated number density ef-fectively impeded the dislocation movement and weaken the slip localisation to a great extent,improving the fatigue performance within a few hours.

Realizing Plain Optimization of the Thermoelectric Properties in BiCuSeO Oxide via Self-Substitution-Induced Lattice Dislocations

Seeking new strategies to tune the intrinsic defect and optimize the thermoelectric performance via no or less use of external doped elements(i.e.,plain optimization)is an important method to realize the sustainable development of thermoelectric materials.Meanwhile,creating dislocation defects in oxide systems is quite challenging because the rigid and stiff ionic/covalent bonds can hardly tolerate the large strain energy associated with dislocations.Herein,taking BiCuSe_(O) oxide as an example,the present work reports a successful construction of dense lattice dislocations in BiCuSe_(O) by self-doping of Se at the O site(i.e.,Se_(O) self-substitution),and achieves plain optimization of the thermoelectric properties with only external Pb doping.Owing to the self-substitution-induced large lattice distortion and the potential reinforcement effect by Pb doping,high-density(about 3.0×10^(14 )m^(−2))dislocations form in the grains,which enhances the scattering strength of mid-frequency phonon and results in a substantial low lattice thermal conductivity of 0.38 W m^(−1) K^(−1) at 823 K in Pb-doped BiCuSe_(O).Meanwhile,PbBi doping and Cu vacancy markedly improve the electrical conductivity while maintaining a competitively high Seebeck coefficient,thereby contributing to a highest power factor of 942μW m^(−1) K^(−2).Finally,a remarkably enhanced zT value of 1.32 is obtained at 823 K in Bi_(0.94)Pb_(0.06)Cu_(0.97)Se_(1.05)O_(0.95) with almost compositional plainification.The high-density dislocation structure reported in this work will also provide a good inspiration for the design and construction of dislocations in other oxide systems.