Digital infrastructure considers the advantages of traditional infrastructure and high‐tech information technology and can optimize the allocation of green resources in the service industry to a ...large extent. Based on the calculation of the level of digital infrastructure in 30 provinces and cities in China from 2011 to 2020, this study analyzes the impact of digital infrastructure on the resource allocation efficiency of the service industry from a theoretical and empirical perspective. The study found that digital infrastructure can improve the efficiency of green resource allocation in the service industry; however, at the subdivision level, only its operation dimension has a significant and positive impact on the efficiency of green resource allocation in the service industry, and the improvement effect of the construction dimension is insignificant. Analyzing the mechanism of action shows that digital infrastructure can indirectly optimize the allocation of green resources in the service industry by deepening the degree of informatization and improving the level of innovation. Further analysis shows that the impact of digital infrastructure on the efficiency of green resource allocation in the service industry presents a complex nonlinear trend and regional heterogeneity. The research conclusions provide a policy reference for optimizing the allocation of green resources in the service industry and promoting high‐quality economic growth under the background of digital infrastructure.
Halide perovskite quantum dots (QDs), primarily regarded as optoelectronic materials for LED and photovoltaic devices, have not been applied for photochemical conversion (e.g., water splitting or CO2 ...reduction) applications because of their insufficient stability in the presence of moisture or polar solvents. Herein, we report the use of CsPbBr3 QDs as novel photocatalysts to convert CO2 into solar fuels in nonaqueous media. Under AM 1.5G simulated illumination, the CsPbBr3 QDs steadily generated and injected electrons into CO2, catalyzing CO2 reduction at a rate of 23.7 μmol/g h with a selectivity over 99.3%. Additionally, through the construction of a CsPbBr3 QD/graphene oxide (CsPbBr3 QD/GO) composite, the rate of electron consumption increased 25.5% because of improved electron extraction and transport. This study is anticipated to provide new opportunities to utilize halide perovskite QD materials in photocatalytic applications.
College ideological and political education has always been the primary content of national spiritual civilization construction. The current teaching methods are more flexible, resulting in the ...quality of ideological and political teaching not being reasonably assessed. To address this problem, we propose a method for assessing the quality of ideological and political teaching based on the gated recurrent unit (GRU) network and construct an automatic assessment system for ideological and political teaching. We draw on the migration learning model to improve the loss function by using the generalized intersection set over the joint loss function to compensate for the shortcoming of the small number of ideological and political teaching datasets. We use a masking algorithm to enhance the local features of teaching data sequences for different classes of ideological and political teaching quality assessment metrics. In addition, we use the minimum outer matrix algorithm to extract the sequence features of different assessment dimensions to improve the accuracy of the model for the quality assessment of ideological and political teaching. To meet the quality assessment conditions of ideological and political teaching, we compiled and produced ideological and political teaching datasets according to the teaching data coverage. The experimental results proved that our method performed best in comprehensive quality assessment accuracy in ideological and political teaching, with the assessment accuracy rate above 90%. Compared with traditional machine learning methods and deep learning methods, our method has higher accuracy and better robustness.
Differentiation of bone marrow derived mesenchymal stem cells (BMSCs) into functional neural cells has been widely investigated for treating neural diseases. However, the limited neural ...differentiation of BMSCs remains a big challenge to overcome. Herein, for the first time, ginseng-derived exosomes (G-Exos) were demonstrated to have excellent efficiency in stimulating the neural differentiation of BMSCs by transferring the incorporated miRNAs to BMSCs efficiently. In vivo, a photo-cross-linkable hydrogel with chemokine and G-Exos loaded shows strong efficacy in recruiting and directing the neural differentiation of BMSCs in the program. G-Exos were demonstrated to be promising nanoplatforms in transferring plant-derived miRNAs to mammalian stem cells for neural differentiation both in vitro and in vivo, possessing great potential in neural regenerative medicine.
Recent restoration methods for handling real old photos have achieved significant improvements using generative networks. However, the restoration quality under the usual generative architectures is ...greatly affected by the encoded properties of latent space, which reflect pivotal semantic information in the recovery process. Therefore, how to find the suitable latent space and identify its semantic factors is an important issue in this challenging task. To this end, we propose a novel generative network with hyperbolic embeddings to restore old photos that suffer from multiple degradations. Specifically, we transform high-dimensional Euclidean features into a compact latent space via the hyperbolic operations. In order to enhance the hierarchical representative capability, we perform the channel mixing and group convolutions for the intermediate hyperbolic features. By using attention-based aggregation mechanism in a hyperbolic space, we can further obtain the resulting latent vectors, which are more effective in encoding the important semantic factors and improving the restoration quality. Besides, we design a diversity loss to guide each latent vector to disentangle different semantics. Extensive experiments have shown that our method is able to generate visually pleasing photos and outperforms state-of-the-art restoration methods.
The most daunting challenge of solid polymer electrolytes (SPEs) is the development of materials with simultaneously high ionic conductivity and mechanical strength. Herein, SPEs of lithium ...bis‐(trifluoromethanesulfonyl)imide (LiTFSI)‐doped poly(propylene monothiocarbonate)‐b‐poly(ethylene oxide) (PPMTC‐b‐PEO) block copolymers (BCPs) with both blocks associating with Li+ ions are prepared. It is found that the PPMTC‐b‐PEO/LiTFSI electrolytes with double conductive phases exhibit much higher ionic conductivity (2 × 10−4 S cm−1 at r.t.) than the BCP electrolytes with a single conductive phase. Concurrently, the storage moduli of PPMTCn‐b‐PEO44/LiTFSI electrolytes are ≈1–4 orders of magnitude higher than that of the neat PEO/LiTFSI electrolytes. Therefore, simultaneous improvement of ionic conductivity and mechanical properties is achieved by construction of a microphase‐separated and disordered structure with double conductive phases.
Solid polymer electrolytes (SPEs) of lithium bis‐(trifluoromethanesulfonyl)imide‐doped poly(propylene monothiocarbonate)‐b‐poly(ethylene oxide) block copolymers are successfully fabricated. SPEs with simultaneously improved ionic conductivity and storage moduli are achieved by construction of a microphase‐separated and disordered structure with double conductive phases, offering an effective strategy for the design of SPEs with optimized and balanced properties for advanced lithium battery technology.
Programmed cell death-1 (PD-1)/programmed death-ligand 1 (PD-L1) blockade has been approved as the standard-of-care for the treatment of non-small cell lung cancer (NSCLC). Yet, the population of ...patients who benefit from the treatment remains modest, some of whom would get relapsed and progressed eventually. Combination therapy has emerged as an effective way to broaden beneficiaries from PD-1/PD-L1 immunotherapy and overcome or delay the resistance. In this review, we discuss the PD-1/PD-L1 blockade in combination with conventional chemotherapy, targeted therapy or immunotherapy. Meanwhile, we illustrate their underlying mechanisms in regulating the process of the cancer-immunity cycle, providing the rationale for the PD-1/PD-L1 blockade-based combination therapy. The challenges of combination regimens are also addressed.
Cancer is still presenting a serious threat to human health worldwide. The understanding of the complex biology of cancer and the development of oncotherapy have led to increasing treatment ...approaches such as targeted therapy and immunotherapy. Chinese medicinal herbs have attracted considerable attention due to their potential anticancer effects. Some natural products or formulae from Chinese medicinal herbs with directly or indirectly anticancer effects have been reported. In this article, we summarized the current progression on development of anticancer drugs from Chinese medicinal herbs, toward providing ideas for further development and application of Chinese medicinal herbs in cancer therapy.
Does intensifying emerging market competition boost or inhibit innovation? We estimate how a representative panel of Canadian firms adjusts innovation activities, business strategies, and exit in ...response to large increases in Chinese import competition. Our analysis shows that the innovation response of firms depends on the type of innovation: on average, product innovation incentives are stimulated by competition while process innovation incentives decline. We develop a theory that combines these different innovation types with partially irreversible innovation strategy choices to derive novel performance implications in response to competition. Consistent with this theory, we find that firms that initially pursue process innovation strategies and survive have higher profits ex-post, but are ex-ante more likely to exit. In contrast, firms that initially pursue product innovation strategies have higher profits if they survive, without significant impact on exit. Both empirical patterns are consistent with our theory, which suggests that innovator performance depends on the balance of innovation incentive effects and competitive failure risk.
Exfoliated black phosphorus (BP), as a monolayer or few-layer material, has attracted tremendous attention owing to its unique physical properties for applications ranging from optoelectronics to ...photocatalytic hydrogen production. Approaching intrinsic properties has been, however, challenged by chemical reactions and structure degradation of BP under ambient conditions. Surface passivation by capping agents has been proposed to extend the processing time window, yet contamination or structure damage rise challenges for BP applications. Here, we report experiments combined with first-principle calculations that address the degradation chemistry of BP. Our results show that BP reacts with oxygen in water even without light illumination. The reaction follows a pseudo-first-order parallel reaction kinetics, produces PO2 3–, PO3 3–, and PO4 3– with reaction rate constants of 0.019, 0.034, and 0.023 per day, respectively, and occurs preferentially from the P atoms locating at BP edges, which yields structural decay from the nanoflake edges in water. In addition, a negligible decay ratio (0.9 ± 0.3 mol %) and preserved photocatalytic activity of BP are observed after storage in deoxygenated water for 15 days without surface passivation under ambient light. Our results reveal the chemistry of BP degradation and provide a practical approach for exfoliation, delivery, and application of BP.