Advanced LIGO may be the first experiment to detect gravitational waves. Through superradiance of stellar black holes, it may also be the first experiment to discover the QCD axion with decay constant above the GUT scale. When an axion's Compton wavelength is comparable to the size of a black hole, the axion binds to the black hole, forming a "gravitational atom." Through the superradiance process, the number of axions occupying the bound levels grows exponentially, extracting energy and angular momentum from the black hole. Axions transitioning between levels of the gravitational atom and axions annihilating to gravitons can produce observable gravitational wave signals. The signals are long-lasting, monochromatic, and can be distinguished from ordinary astrophysical sources. We estimate up to O(1) transition events at aLIGO for an axion between 10 −11 and 10 −10 eV and up to 10 4 annihilation events for an axion between 10 −13 and 10 −11 eV. In the event of a null search, aLIGO can constrain the axion mass for a range of rapidly spinning black hole formation rates. Axion annihilations are also promising for much lighter masses at future lower-frequency gravitational wave observatories; the rates have large uncertainties, dominated by supermassive black hole spin distributions. Our projections for aLIGO are robust against perturbations from the black hole environment and account for our updated exclusion on the QCD axion of 6 × 10 −13 eV < µa < 2 × 10 −11 eV suggested by stellar black hole spin measurements. CONTENTS

Direct LHC bounds on colored SUSY particles now corner naturalness more than the measured value of the Higgs mass does. Bounds on the gluino are of particular importance, since it radiatively "sucks" up the stop and Higgs-up soft masses. As a result, even models that easily accommodate a 125 GeV Higgs are almost as tuned as the simplest version of SUSY, the MSSM: at best at the percent level. In this paper, we further examine how current LHC results constrain naturalness in three classes of models that may relax LHC bounds on sparticles: split families, baryonic RPV, and Dirac gauginos. In models of split families and bRPV, the bounds on the gluino are only slightly reduced, resulting in a few percent tuning. In particular, having a natural spectrum in bRPV models typically implies that tops, W s, and Zs are easily produced in the cascade decays of squarks and gluinos. The resulting leptons and missing energy push the gluino mass limit above 1 TeV. Even when the gluino has a Dirac mass and does not contribute to the stop mass at one loop, tuning reappears in calculable models because there is no symmetry imposing the supersoft limit. We conclude that, even if sparticles are found at LHC-14, naturalness will not emerge triumphant.

Liquid gating membranes with molecular-level smooth liquid lining layers break through the limitations of traditional porous membrane materials in gas transport control. Owing to the stable, self-healing, and reconfigurable properties, liquid gating membranes have shown wide application prospects in microfluidics, intelligent valves, chemical reactions, and beyond. Here, we develop a periodic gas transport control system based on the self-oscillating liquid gating membrane. Under continuous gas injection, the gas–liquid interface is reversibly deformed, enabling self-oscillating behavior for discontinuous and periodic gas transport without the need for any complex external changes to the original system. Meanwhile, our experimental analysis reveals that the periodic time and periodic gas release in the system can be regulated. Based on the cycle stability of the system, we further demonstrate the controllability of the system for periodic droplet manipulation in microfluidics. Looking forward, it will offer new opportunities for various applications, such as pneumatic robots, gas-involved chemical reactions, droplet microfluidics, and beyond.

Pueraria lobata is an important medicinal and edible homologous plant that is widely cultivated in Asian countries. However, its production and quality are seriously threatened by its susceptibility to pseudo-rust disease. The underlying molecular mechanisms are poorly known, particularly from a transcriptional perspective. Pseudo-rust disease is a major disease in pueraria, primarily caused by Synchytrium puerariae Miy (SpM). In this study, transcriptomic profiles were analyzed and compared between two pueraria varieties: the disease-resistant variety (GUIGE18) and the susceptible variety (GUIGE8). The results suggest that the number of DEGs in GUIGE18 is always more than in GUIGE8 at each of the three time points after SpM infection, indicating that their responses to SpM infection may be different, and that the active response of GUIGE18 to SpM infection may occur earlier than that of GUIGE8. A total of 7044 differentially expressed genes (DEGs) were identified, and 406 co-expressed DEGs were screened out. Transcription factor analysis among the DEGs revealed that the bHLH, WRKY, ERF, and MYB families may play an important role in the interaction between pueraria and pathogens. A GO and KEGG enrichment analysis of these DEGs showed that they were mainly involved in the following pathways: metabolic, defense response, plant hormone signal transduction, MAPK signaling pathway-plant, plant pathogen interaction, flavonoid biosynthesis, phenylpropanoid biosynthesis, and secondary metabolite biosynthesis. The CPK, CESA, PME, and CYP gene families may play important roles in the early stages after SpM infection. The DEGs that encode antioxidase (CAT, XDH, and SOD) were much more up-regulated. Defense enzyme activity, endogenous hormones, and flavonoid content changed significantly in the two varieties at the three infection stages. Finally, we speculated on the regulatory pathways of pueraria pseudo-rust and found that an oxidation-reduction process, flavonoid biosynthesis, and ABA signaling genes may be associated with the response to SpM infection in pueraria. These results expand the understanding of pueraria resistance and physiological regulations by multiple pathways.

Developing efficient gas sensing materials capable of sensitive, fast, stable, and selective detection is a requisite in the field of indoor gas environment monitoring. In recent years, metal carbides/nitrides (MXenes) have attracted attention in the field of gas sensing because of their high specific surface area, good electrical conductivity, and high hydrophilicity. Ti3C2Tx, the first synthesised MXene material, has also become the most popular MXene material owing to its low formation energy. In this paper, the latest progress in the application of Ti3C2Tx-based nanomaterials in the field of gas sensors is reviewed. Some challenges currently faced by Ti3C2Tx gas sensors are discussed, and possible solutions are proposed, focusing on the use of composite materials and surface functionalization methods to modify Ti3C2Tx nanomaterials to improve their sensing performance for the detection of gaseous volatile organic compounds. This study highlights the application prospects of Ti3C2Tx nanomaterials in gas sensors.