12 research outputs found
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers
Prompt tuning attempts to update few task-specific parameters in pre-trained
models. It has achieved comparable performance to fine-tuning of the full
parameter set on both language understanding and generation tasks. In this
work, we study the problem of prompt tuning for neural text retrievers. We
introduce parameter-efficient prompt tuning for text retrieval across
in-domain, cross-domain, and cross-topic settings. Through an extensive
analysis, we show that the strategy can mitigate the two issues --
parameter-inefficiency and weak generalizability -- faced by fine-tuning based
retrieval methods. Notably, it can significantly improve the out-of-domain
zero-shot generalization of the retrieval models. By updating only 0.1% of the
model parameters, the prompt tuning strategy can help retrieval models achieve
better generalization performance than traditional methods in which all
parameters are updated. Finally, to facilitate research on retrievers'
cross-topic generalizability, we curate and release an academic retrieval
dataset with 18K query-results pairs in 87 topics, making it the largest
topic-specific one to date
Dynamical Characteristics of Interaction between Water Droplet and Aerosol Particle in Dedusting Technology
With the rapid development of national modern industry, people begin to pay attention to environmental pollution and harm caused by industrial dust. Based on above, a numerical study on the dedusting technology of industrial environment was conducted. The dynamic models of multicomponent particles collision and coagulation, breakage and deposition are developed, and the interaction of water droplet and aerosol particle in 2-Dimension flow field was researched by Eulerian-Lagrangian method and Multi-Monte Carlo method. The effects of the droplet scale, movement speed of droplet and the flow field structure on scavenging efficiency were analyzed. The results show that under the certain condition, 30μm of droplet has the best scavenging efficiency. At the initial speed 1m/s of droplets, droplets and aerosol particles have more time to interact, so it has a better scavenging efficiency for the particle
Sporopollenin-inspired design and synthesis of robust materials
Sporopollenin is a mechanically robust and chemically inert biopolymer that constitutes the outer protective exine layer of plant spores and pollen grains. Recent investigation of the molecular structure of pine sporopollenin revealed unique monomeric units and inter-unit linkages distinct from other previously known biopolymers, which could be harnessed for new material design. Here, we report the bioinspired synthesis of a series of sporopollenin analogues. This exercise confirms large portions of the previously proposed pine sporopollenin structural model, while the measured chemical, thermal, and mechanical properties of the synthetic sporopollenins indicate favorable attributes of a new kind of robust material. This study explores a new design framework of robust materials inspired by natural sporopollenins, and provides insights and reagents for future elucidation and engineering of sporopollenin biosynthesis in plants
Lasing properties and carrier dynamics of CsPbBr3 perovskite nanocrystal vertical-cavity surface-emitting laser
All-inorganic lead halide perovskite nanocrystals (NCs) have been widely investigated as highly promising optical gain materials due to their compelling electrical and optical properties. Although many efforts have been carried out, a deep understanding of perovskite NC vertical-cavity surface-emitting lasers (VCSELs) is elusive, which is very important in the development of photoelectronic integrated circuits. Along these lines, in this work, a low lasing threshold (22 μJ/cm2) single-mode VCSEL consisting of CsPbBr3 NCs film and two distributed Bragg reflectors was successfully constructed. The CsPbBr3 NCs were synthesized by using the supersaturated recrystallization method. Interestingly, benefiting from the strong coupling between the active layer and the optical field in the cavity, a single-mode lasing at 527 nm was demonstrated under femtosecond optical pumping. The carrier dynamics of the perovskite NC VCSEL was also thoroughly investigated by performing pump intensity-dependent time-resolved photoluminescence measurements. The typical gain-switching phenomenon was observed with an ultrafast decay of the laser pulse of ∼10 ps. Our work provides valuable insights for the implementation of the CsPbBr3 NC VCSEL for various optoelectronic applications
Anti-NDV activity of 9-oxo10,11-dehydroageraphorone extracted from <i>Eupatorium adenophorum</i> Spreng <i>in vitro</i>
<p>The purpose of this study was to investigate the anti-Newcastle disease virus (NDV) activities of 9-oxo-10,11-dehydroageraphorone (euptox A) from <i>Eupatorium adenophorum</i> Spreng (<i>E. adenophorum</i>) <i>in vitro</i>. NDV infection of chicken embryo fibroblasts (CEFs) was performed. Cytotoxicities and antiviral activities of euptox A was assessed by the MTT method. The interaction of NDV with cell membrane protein was detected by virus overlay protein binding assay (VOPBA). The expression levels of NDV genes in CEFs was tested by RTFQ PCR. The results showed that the maximal safe concentrations of euptox A to CEFs was 10 μg/mL. Euptox A could directly neutralise NDV, inhibit the infectivity of NDV to CEFs and block intracellular NDV treat NDV infection. And euptox A brings competitiveness inhibition for NDV binding to its receptors and then prevent NDV infection. These results indicated that euptox A possessed anti-NDV activity has potential use as components of a natural antiviral drug.</p
Autotrophic growth of nitrifying community in an agricultural soil
The two-step nitrification process is an integral part of the global nitrogen cycle, and it is accomplished by distinctly different nitrifiers. By combining DNA-based stable isotope probing (SIP) and high-throughput pyrosequencing, we present the molecular evidence for autotrophic growth of ammonia-oxidizing bacteria (AOB), ammonia-oxidizing archaea (AOA) and nitrite-oxidizing bacteria (NOB) in agricultural soil upon ammonium fertilization. Time-course incubation of SIP microcosms indicated that the amoA genes of AOB was increasingly labeled by 13CO2 after incubation for 3, 7 and 28 days during active nitrification, whereas labeling of the AOA amoA gene was detected to a much lesser extent only after a 28-day incubation. Phylogenetic analysis of the 13C-labeled amoA and 16S rRNA genes revealed that the Nitrosospira cluster 3-like sequences dominate the active AOB community and that active AOA is affiliated with the moderately thermophilic Nitrososphaera gargensis from a hot spring. The higher relative frequency of Nitrospira-like NOB in the 13C-labeled DNA suggests that it may be more actively involved in nitrite oxidation than Nitrobacter-like NOB. Furthermore, the acetylene inhibition technique showed that 13CO2 assimilation by AOB, AOA and NOB occurs only when ammonia oxidation is not blocked, which provides strong hints for the chemolithoautotrophy of nitrifying community in complex soil environments. These results show that the microbial community of AOB and NOB dominates the nitrification process in the agricultural soil tested