MTSS: Learn from Multiple Domain Teachers and Become a Multi-domain Dialogue Expert

How to build a high-quality multi-domain dialogue system is a challenging work due to its complicated and entangled dialogue state space among each domain, which seriously limits the quality of dialogue policy, and further affects the generated response. In this paper, we propose a novel method to acquire a satisfying policy and subtly circumvent the knotty dialogue state representation problem in the multi-domain setting. Inspired by real school teaching scenarios, our method is composed of multiple domain-specific teachers and a universal student. Each individual teacher only focuses on one specific domain and learns its corresponding domain knowledge and dialogue policy based on a precisely extracted single domain dialogue state representation. Then, these domain-specific teachers impart their domain knowledge and policies to a universal student model and collectively make this student model a multi-domain dialogue expert. Experiment results show that our method reaches competitive results with SOTAs in both multi-domain and single domain setting.Comment: AAAI 2020, Spotlight Pape

Effect of hydrogel stiffness on nucleus pulposus cell phenotypes in vitro and its repairment of intervertebral disc in vivo

Objective·To investigate the effect of hydrogel stiffness on nucleus pulposus cell phenotype and its function in repairing intervertebral disc degeneration in rats.Methods·Methacrylate gelatin (GelMA) hydrogels with different concentrations were constructed. The stiffness of the hydrogels was investigated by using rheological analysis and uniaxial compression test. The microstructure and morphology of the hydrogels were observed by scanning electron microscopy (SEM). Nucleus pulposus cells with normal phenotype were inoculated on the surface of GelMA hydrogels. The biocompatibility of the hydrogel was evaluated by live-dead cell staining and the growth pattern of nucleus pulposus cells on hydrogels with different stiffness was observed with phalloidin staining under microscope. Immunofluorescence staining was performed to examine the nuclear localization of Yes-associated protein (YAP) and real-time quantitative reverse transcription PCR (qRT-PCR) was used to detect the expression levels of nucleus pulposus cell-associated genes [neural cell adhesion molecule 1 (Ncam-1), aggrecan (Acan), sex-determing region of Y chromosome (SRY)-box transcription factor 9 (Sox9)]. A rat caudal acupuncture intervertebral disc degeneration model was established. Nucleus pulposus cells cultured on different hydrogels were harvested and injected into the degenerated discs separately. Four weeks after surgery, magnetic resonance imaging (MRI) was performed to analyze the water content of the intervertebral discs in each group. Histological tests were performed to examine the disc structure and proteoglycan levels.Results·The elastic modulus of the hydrogels was 1 kPa and 200 kPa when the concentration of GelMA prepolymerisation solution was at 4% and 15% respectively. SEM observation revealed that the hydrogels showed a loose and porous microstructure, and the porosity of hydrogels decreased significantly with the decrease of their stiffness. In vitro experiments demonstrated that both GelMA hydrogel mediums showed good biocompatibility and the ability to support cell proliferation. Nucleus pulposus cells cultured on the soft matrix (4%GelMA) had a lower elongation and spreading area than those cultured on the stiff matrix (15%GelMA), showing a tendency of YAP concentration in the cytoplasm. The gene expression of nucleus pulposus cells was examined and the levels of Sox9, Acan and Ncam-1 in the soft matrix hydrogel group were 23.7, 6.6 and 12.7 times of those in the control group respectively. In vivo experiments on rat disc degeneration showed that the soft hydrogel matrix group had higher disc water content and structural integrity than the stiff hydrogel matrix group.Conclusion·Compared to stiff GelMA hydrogels, hydrogels with low stiffness better maintain the growth phenotypes in the nucleus pulposus cells and have better therapeutic effect on disc degeneration in vivo

Tuning Oxygen Redox Reaction through the Inductive Effect with Proton Insertion in Li-Rich Oxides.

As a parent compound of Li-rich electrodes, Li2MnO3 exhibits high capacity during the initial charge; however, it suffers notoriously low Coulombic efficiency due to oxygen and surface activities. Here, we successfully optimize the oxygen activities toward reversible oxygen redox reactions by intentionally introducing protons into lithium octahedral vacancies in the Li2MnO3 system with its original structural integrity maintained. Combining structural probes, theoretical calculations, and resonant inelastic X-ray scattering results, a moderate coupling between the introduced protons and lattice oxygen at the oxidized state is revealed, which stabilizes the oxygen activities during charging. Such a coupling leads to an unprecedented initial Coulombic efficiency (99.2%) with a greatly improved discharge capacity of 302 mAh g-1 in the protonated Li2MnO3 electrodes. These findings directly demonstrate an effective concept for controlling oxygen activities in Li-rich systems, which is critical for developing high-energy cathodes in batteries

High-voltage oxide cathodes for high-energy-density lithium-ion batteries

The worldwide electrification of the automobile industry has been strongly pushing the advancement of lithium-ion batteries (LIBs) with high energy density and long service life. Since the cathode is currently the limiting electrode for energy density, safety, and cost of commercial LIBs, extensive efforts have been devoted into investigating next-generation high-performance cathode materials with high capacity and operating voltage. Among the pool of cathodes, high-nickel layered oxide cathodes, LiNiₓM₁₋ₓO₂ (M = Co, Mn, Al, etc.; x > 0.7), are regarded as one of the most promising candidates. However, the practical viability of high-Ni cathodes is compromised by their air instability, fast structural and interfacial deteriorations during operation, poor thermal stability, and high cost. On the other hand, another promising cathode, high-voltage spinel LiNi₀.₅Mn₁.₅O₄, exhibits better thermal and structural stabilities, but suffers from rapid performance degradations due to its high operating voltage of > 4.7 V vs. Li⁺/Li. This dissertation focuses on stabilizing the operation of high-Ni and high-voltage spinel cathodes with diverse modification strategies and advancing the understanding of the degradation mechanisms of cells with high-voltage cathodes assisted by state-of-the-art characterizations. First, the function of atomic scale zinc-doping in a high-Ni cathode LiNi₀.₉₄Co₀.₀₄Zn₀.₀₂O₁.₉₉ is investigated. The incorporation of Zn greatly mitigates the average voltage and capacity fade by ameliorating the anisotropic lattice distortion, enhancing the structural integrity, and reducing cathode-electrolyte side reactions. Moreover, Zn-doping is proved beneficial to improve the thermal stability. Second, a cobalt- and manganese-free LiNi₀.₉₃Al₀.₀₅Ti₀.₀₁Mg₀.₀₁O₂ cathode is rationally designed, synthesized, and comprehensively investigated. Collectively, the use of Al, Ti, and Mg in the cathode enables a stable operation of practical full cells over 800 cycles by alleviating electrolyte decomposition reactions, transition-metal crossover, and active lithium loss. Third, single-element doped cathodes, viz., LiNi₀.₉₅Co₀.₀₅O₂, LiNi₀.₉₅Mn₀.₀₅O₂, and LiNi₀.₉₅Al₀.₀₅O₂, along with undoped LiNiO₂, are compared through a control of cutoff energy density to elucidate the role of dopants in high-Ni cathodes. Via a group of advanced analytical techniques, it is unveiled that one critical role of dopant is regulating the state-of-charge and the occurrence of H2–H3 phase transition of high-Ni cathodes, which essentially dictates the cycle stability. Finally, electrochemical modifications on the graphite anode and high-voltage spinel cathode are performed and characterized. The results suggest that the graphite anode interphase degradations caused by acidic and transition-metal crossover species generated from the cathode predominately contribute to the cell performance deterioration. Based on in-depth analyses, pathways towards long-life high-voltage full cells are pictured.Materials Science and Engineerin

Degradation Pathways of Cobalt-free LiNiO2 Cathode in Lithium Batteries

Electrode-electrolyte reactivity (EER) and particle cracking (PC) are considered two main causes of capacity fade in high-nickel layered oxide cathodes in lithium-based batteries. However, whether EER or PC is more critical remains debatable. Herein, the fundamental correlation between EER and PC is systematically investigated with LiNiO2 (LNO), the ultimate cobalt-free lithium layered oxide cathode. Specifically, EER is found more critical than secondary particle cracking (SPC) in determining the cycling stability of LNO; EER leads to primary particle cracking (PPC), but contrary to conventional wisdom, prevents SPC. Two surface degradation pathways are identified for cycled LNO under low and high EERs. A common blocking surface reconstruction layer (SRL) containing electrochemically-inactive Ni3O4 spinel and NiO rock-salt phases is formed on LNO at the charged state in an electrolyte with high EER; in contrast, an electrochemically-active SRL featuring regions of electron- and lithium-ion-conductive LiNi2O4 spinel phase is formed on LNO at the charged state in an electrolyte with low EER, even though bulk LiNi2O4 crystals are believed to be non-existent. These findings unveil the intrinsic degradation pathways of LNO cathode and are foreseen to provide new insights into the development of lithium-based batteries with minimized EER and maximized service life

Impact of Dopants on Suppressing Gas Evolution from High-Nickel Layered Oxide Cathodes

Gas release from high-Ni layered oxide cathodes (LiNixMn1‑x‑y‑zCoyAlzO2; x > 0.8) can jeopardize the overall performance and safety characteristics of the cell. A comprehensive assessment of rational cathode design with common dopants, such as Ni, Co, Al, and Mn, to suppress gas evolution is crucial for battery safety, yet it remains to be conducted. Here, we present an in situ gas analysis of nine high-Ni cathode materials with online electrochemical mass spectrometry (OEMS). We show that, regardless of the dopant, reactive oxygen release from the cathode lattice remains a critical process for gas evolution. A series of comparisons reveals that the intensity and onset point of gas release are strongly dependent on the cathode composition. Notably, Al and Mn are the most effective dopants to suppress gas evolution from the cathode at 4.4 V. We further highlight lattice stability limits, across these nine compositions, between 85% and 93% state-of-charge

Advanced microfluidic devices for fabricating multi‐structural hydrogel microsphere

Abstract Hydrogel microspheres are a novel functional material, arousing much attention in various fields. Microfluidics, a technology that controls and manipulates fluids at the micron scale, has emerged as a promising method for fabricating hydrogel microspheres due to its ability to generate uniform microspheres with controlled geometry. With the development of microfluidic devices, more complicated hydrogel microspheres with multiple structures can be constructed. This review presents an overview of advances in microfluidics for designing and engineering hydrogel microspheres. It starts with an introduction to the features of hydrogel microspheres and microfluidic techniques, followed by a discussion of material selection for fabricating microfluidic devices. Then the progress of microfluidic devices for single‐component and composite hydrogel microspheres is described, and the method for optimizing microfluidic devices is also given. Finally, this review discusses the key research directions and applications of microfluidics for hydrogel microsphere in the future

Faba Bean (<i>Vicia faba</i> L.) Yield Estimation Based on Dual-Sensor Data

Faba bean is an important member of legumes, which has richer protein levels and great development potential. Yield is an important phenotype character of crops, and early yield estimation can provide a reference for field inputs. To facilitate rapid and accurate estimation of the faba bean yield, the dual-sensor (RGB and multi-spectral) data based on unmanned aerial vehicle (UAV) was collected and analyzed. For this, support vector machine (SVM), ridge regression (RR), partial least squares regression (PLS), and k-nearest neighbor (KNN) were used for yield estimation. Additionally, the fusing data from different growth periods based on UAV was first used for estimating faba bean yield to obtain better estimation accuracy. The results obtained are as follows: for a single-growth period, S2 (12 July 2019) had the best accuracy of the estimation model. For fusion data from the muti-growth period, S2 + S3 (12 August 2019) obtained the best estimation results. Furthermore, the coefficient of determination (R2) values for RF were higher than other machine learning algorithms, followed by PLS, and the estimation effects of fusion data from a dual-sensor were evidently better than from a single sensor. In a word, these results indicated that it was feasible to estimate the faba bean yield with high accuracy through data fusion based on dual-sensor data and different growth periods

Hydrogen peroxide inhibits proliferation and endothelial differentiation of bone marrow stem cells partially via reactive oxygen species generation

The present study was to investigate the effect of hydrogen peroxide (H2O2) on bone marrow stem cells and their endothelial differentiation and the underlying mechanisms in vitro.status: publishe