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Solid ferromagnetic materials are rigid in shape and cannot be reconfigured. Ferrofluids, although reconfigurable, are paramagnetic at room temperature and lose their magnetization when the applied magnetic field is removed. Here, we show a reversible paramagnetic-to-ferromagnetic transformation of ferrofluid droplets by the jamming of a monolayer of magnetic nanoparticles assembled at the water-oil interface. These ferromagnetic liquid droplets exhibit a finite coercivity and remanent magnetization. They can be easily reconfigured into different shapes while preserving themagnetic properties of solid ferromagnets with classic north-south dipole interactions. Their translational and rotational motions can be actuated remotely and precisely by an external magnetic field, inspiring studies on active matter, energy-dissipative assemblies, and programmable liquid constructs.

Moiré superlattices in van der Waals heterostructures have emerged as a powerful tool for engineering quantum phenomena. Here we report the observation of a correlated interlayer exciton insulator in a double-layer heterostructure composed of a WSe 2 monolayer and a WS 2 /WSe 2 moiré bilayer that are separated by ultrathin hexagonal boron nitride. The moiré WS 2 /WSe 2 bilayer features a Mott insulator state when the density of holes is one per moiré lattice site. When electrons are added to the Mott insulator in the WS 2 /WSe 2 moiré bilayer and an equal number of holes are injected into the WSe 2 monolayer, a new interlayer exciton insulator emerges with the holes in the WSe 2 monolayer and the electrons in the doped Mott insulator bound together through interlayer Coulomb interactions. The interlayer exciton insulator is stable up to a critical hole density in the WSe 2 monolayer, beyond which the interlayer exciton dissociates. Our study highlights the opportunities for realizing quantum phases in double-layer moiré systems due to the interplay between the moiré flat band and strong interlayer electron interactions. When independent layers of electrons and holes are in close proximity to each other, their Coulomb interaction allows them to pair into neutral bosons and form an insulating state. This phenomenon is reported in a heterostructure of 2D materials.

Strong coupling between the spin and orbital degrees of freedom is crucial in generating the exotic band structure of topological insulators. The combination of spin-orbit coupling with electronic correlations could lead to exotic effects; however, these two types of interactions are rarely found to be strong in the same material. Gotlieb et al. used spin- and angle-resolved photoemission spectroscopy to map out the spin texture in the cuprate Bi2212. Surprisingly, they found signatures of spin-momentum locking, not unlike that seen in topological insulators. Thus, in addition to strong electronic correlations, this cuprate also has considerable spin-orbit coupling. Science , this issue p. 1271 Spin- and angle-resolved photoemission spectroscopy reveals a rich spin texture in the cuprate Bi2212. Cuprate superconductors have long been thought of as having strong electronic correlations but negligible spin-orbit coupling. Using spin- and angle-resolved photoemission spectroscopy, we discovered that one of the most studied cuprate superconductors, Bi2212, has a nontrivial spin texture with a spin-momentum locking that circles the Brillouin zone center and a spin-layer locking that allows states of opposite spin to be localized in different parts of the unit cell. Our findings pose challenges for the vast majority of models of cuprates, such as the Hubbard model and its variants, where spin-orbit interaction has been mostly neglected, and open the intriguing question of how the high-temperature superconducting state emerges in the presence of this nontrivial spin texture.

Owing to their low dimensionality, two-dimensional semiconductors, such as monolayer molybdenum disulfide, have a range of properties that make them valuable in the development of nanoelectronics. For example, the electronic bandgap of these semiconductors is not an intrinsic physical parameter and can be engineered by manipulating the dielectric environment around the monolayer. Here we show that this dielectric-dependent electronic bandgap can be used to engineer a lateral heterojunction within a homogeneous MoS 2 monolayer. We visualize the heterostructure with Kelvin probe force microscopy and examine its influence on electrical transport experimentally and theoretically. We observe a lateral heterojunction with an approximately 90 meV band offset due to the differing degrees of bandgap renormalization of monolayer MoS 2 when it is placed on a substrate in which one segment is made from an amorphous fluoropolymer (Cytop) and another segment is made of hexagonal boron nitride. This heterostructure leads to a diode-like electrical transport with a strong asymmetric behaviour. A lateral heterojunction with diode-like electrical transport can be created in a homogeneous MoS 2 monolayer by using a substrate in which one segment is made from an amorphous fluoropolymer and another segment from hexagonal boron nitride.

Surface plasmons, collective electromagnetic excitations coupled to conduction electron oscillations, enable the manipulation of light–matter interactions at the nanoscale. Plasmon dispersion of metallic structures depends sensitively on their dimensionality and has been intensively studied for fundamental physics as well as applied technologies. Here, we report possible evidence for gate-tunable hybrid plasmons from the dimensionally mixed coupling between one-dimensional (1D) carbon nanotubes and two-dimensional (2D) graphene. In contrast to the carrier density-independent 1D Luttinger liquid plasmons in bare metallic carbon nanotubes, plasmon wavelengths in the 1D-2D heterostructure are modulated by 75% via electrostatic gating while retaining the high figures of merit of 1D plasmons. We propose a theoretical model to describe the electromagnetic interaction between plasmons in nanotubes and graphene, suggesting plasmon hybridization as a possible origin for the observed large plasmon modulation. The mixed-dimensional plasmonic heterostructures may enable diverse designs of tunable plasmonic nanodevices. Surface plasmons have unique physical properties that make them also interesting for technology. Here, the authors observe plasmons in mixed-dimensional heterostructures that can be highly modulated with electrostatic gating, which may be explained by plasmon hybridization

Continuous ergonomic risk assessment of the human body is critical to avoid various musculoskeletal disorders (MSDs) for people involved in physical jobs. This paper presents a digital upper limb assessment (DULA) system that automatically performs rapid upper limb assessment (RULA) in real-time for the timely intervention and prevention of MSDs. While existing approaches require human resources for computing the RULA score, which is highly subjective and untimely, the proposed DULA achieves automatic and objective assessment of musculoskeletal risks using a wireless sensor band embedded with multi-modal sensors. The system continuously tracks and records upper limb movements and muscle activation levels and automatically generates musculoskeletal risk levels. Moreover, it stores the data in a cloud database for in-depth analysis by a healthcare expert. Limb movements and muscle fatigue levels can also be visually seen using any tablet/computer in real-time. In the paper, algorithms of robust limb motion detection are developed, and an explanation of the system is provided along with the presentation of preliminary results, which validate the effectiveness of the new technology.

In the present work, an introduction to the contact phenomena in multibody systems is made. The different existing approaches are described, together with their most distinctive features. Then, the term of coefficient of restitution is emphasized as a tool to characterize impact events and the algorithm for calculating the relative indentation between two convex-shaped bodies is developed. Subsequently, the main penalty contact models developed in the last decades are presented and developed, analysing their advantages and drawbacks, as well as their respective applications. Furthermore, some models with specific peculiarities that could be useful to the reader are included. The aim of this work is to provide a resource to the novice researcher in the field to facilitate the choice of the appropriate contact model for their work.

Pre-existing anti-AAV antibodies can be detected using ligand binding-based assay formats. One such format is the MSD-based bridging assay, which uses sulfo-tag-labeled AAV vectors as detection reagents. However, no method has been developed to accurately measure the degree of sulfo-tag labeling on AAV vectors. To fill this gap, we developed a liquid chromatography-high resolution mass spectrometry (LC-HRMS) method to assess the degree of labeling (DoL) of sulfo-tag on AAV5 vectors, enabling the measurement of the DoL on AAV5 at six increasing levels of sulfo-tag challenge ratio. In addition, a Biacore-based assay was used to evaluate the binding affinity between an anti-AAV5 monoclonal antibody and various sulfo-tag labeled AAV5 vectors. The results indicated that increased DoL of sulfo-tag labeling on AAV5 did not compromise the binding affinity. Our study further employed the MSD-bridging assay to detect the binding Signal/Noise (S/N) ratios of four anti-AAV5 monoclonal antibodies (mAbs) to various sulfo-tag-labeled AAV5 vectors. The findings revealed a strong correlation between the degree of sulfo-tag labeling and both the S/N ratios and the sensitivity of MSD bridging assays. This result underscores the importance of optimizing the labeling of detection reagents to enhance assay sensitivity for detecting anti-AAV5 antibodies. Graphical Abstract

Solution-based affinity assays are used for the selection and characterization of proteins that could be developed into therapeutic molecules. However, these assays have limitations for cell-surface proteins as in most cases their purification requires detergent solubilization and are unlikely to assume conformations in solution that resemble their native states in cell membranes. This report describes a novel electrochemiluminescence-based method, called MSD-CAT, for the affinity analysis of antibodies binding to cell-surface receptors. MSD-CAT was used to evaluate the binding of monoclonal antibodies, Fab fragments, and bispecific antibodies targeting the cell-surface receptor interleukin 3 receptor alpha (CD123) and the results were compared to data obtained using surface plasmon resonance (SPR). The data showed that MSD-CAT can be successfully applied to determine binding affinity on cells in a label free format and without the need for laborious solubilization procedures to generate recombinant antigen. In addition, this method has the potential for high-throughput application while enabling simultaneous determination of equilibrium dissociation constant (K D ) and receptor density within the same experiment.

The square root is one of the most important basic operations in computers. Based on the parallel carry-free TW-MSD adder, the parallel R4-MSD square root algorithm is proposed and presented. The algorithm is designed and implemented on the protype SD16 of ternary optical computer, which is developed by Shanghai University in 2016. The processes of the R4-MSD square root algorithm is described in detail. The optical experiment of the square root algorithm is presented based on the protype SD16 of ternary optical computer. It is proved that there are at most two square roots for MSD number representations of a positive decimal number within a given precision scope. It takes clock cycles to complete the square root of a MSD number of length n . This algorithm also shows that it requires the same clock cycle for multiple MSD numbers as for a single MSD number with the equal length. It is better than the radix-2 square root for MSD numbers and other embedded systems. Theoretical proof and optical experiments show that the parallel R4-MSD square root algorithm is feasible. It makes full use of the advantages of the ternary optical processor such as huge digits, bit function reconfiguration, and bit-based allocation.