A catalyst-free and facile route to periodically ordered and c-axis aligned ZnO nanorod arrays on diverse substrates

In this work we present a method for the deposition of periodically ordered, c-axis aligned ZnO nanorod arrays. By using chemical bath deposited films in conjunction with silica templating through nanosphere monolayers, masks suitable for high temperature deposition are created. A vapour phase transport technique is then used to deposit ordered arrays, quickly and inexpensively in a manner ideal for low cost, scalable and reproducible growth on a diverse range of substrates

Highly stable H2V3O8/Mxene cathode for Zn-ion batteries with superior rate performance and long lifespan

Low electrical conductivity of the cathode for rechargeable aqueous Zn-ion batteries (RAZIBs) significantly limits the rate capability and shortens the cycling life. Herein, a highly stable composite is developed as a promising cathode by directly growing non-oriented H2V3O8 nanowires on 2D Mxene sheets. This composite architecture shows enhanced electrical conductivity and faster diffusion for charge transportation, resulting in improved rate performance and prolonged cycling life. Compared with the pristine H2V3O8 (306 mAh·g−1 at 0.2 A·g−1 and 900 cycles at 5 A·g−1), the resultant H2V3O8/Mxene composite exhibits larger specific capacities (365 mAh·g−1 at 0.2 A·g−1) and longer cycling life (≈84% capacity retention over 5600 cycles at 5 A·g−1). Even at 10 and 20 A·g−1, this composite cathode also delivers capacities of 164 and 73 mAh·g−1 for over 1900 and 500 cycles, respectively. Such superior electrochemical performance of RAZIB is ascribed to the enhanced electrical conductivity and improved charge transport kinetics. Furthermore, the reversible co-intercalation electrochemical reaction mechanism of Zn2+ and water was systemically demonstrated through various ex-situ characterizations. Additionally, highly safe and flexible solid-state ZIBs with polyacrylamide/cellulose nanofiber (CNF) hydrogel electrolyte deliver high capacities (317.4 mAh·g−1 at 0.2 A·g−1) and long cycle life (over 6600 cycles at 10 A·g−1). The solid-state batteries are still workable even at different harsh environments, such as freezing at −18 ℃ (152.5 mAh·g−1 at 0.5 A·g−1) and heating at 40 ℃ (307.3 mAh·g−1 at 0.5 A·g−1)

Construction Method of Textbook Knowledge Graph Based on Multimodal and Knowledge Distillation

In order to efficiently construct a multimodal subject knowledge graph in the field of education, a textbook text entity relationship extraction algorithm based on large model knowledge distillation and multi-model collaborative reasoning is proposed. During the model training phase, this paper uses a closed source model with 100 billion parameters to annotate text data and achieve implicit knowledge distillation. Then, this paper fine-tunes the domain data instructions for the open-source billion scale parameter model to enhance the instruction compliance ability of the entity relationship extraction task of the open-source model. In the model inference stage, the closed source model serves as the guiding model, and the open-source billion scale parameter model serves as the execution model. Experimental results show that knowledge distillation, multi-model collaboration, and domain data instruction fine-tuning are effective, significantly improving the effectiveness of textbook text entity relationship extraction tasks based on instruction prompts. A multimodal named entity recognition algorithm for textbook diagrams with explicit and implicit knowledge enhancement has been proposed. Firstly, this paper uses techniques such as image OCR (optical character recognition) and visual language modeling to extract textual information and global content description information from textbook diagrams. Then, by using explicit knowledge base retrieval and implicit LLM hint enhancement methods, auxiliary knowledge that may be associated with image title pairs is obtained. The knowledge obtained from explicit knowledge base and implicit LLM is further fused to form the final auxiliary knowledge. Finally, the auxiliary knowledge of the schematic diagram is combined with the schematic diagram title to achieve multimodal named entity recognition of the textbook schematic diagram title. Experimental results show that the algorithm is advanced and the interpretability of the algorithm is enhanced

Divergent Responses of Community Reproductive and Vegetative Phenology to Warming and Cooling: Asymmetry Versus Symmetry

Few studies have focused on the response of plant community phenology to temperature change using manipulative experiments. A lack of understanding of whether responses of community reproductive and vegetative phenological sequences to warming and cooling are asymmetrical or symmetrical limits our capacity to predict responses under warming and cooling. A reciprocal transplant experiment was conducted for 3 years to evaluate response patterns of the temperature sensitivities of community phenological sequences to warming (transferred downward) and cooling (transferred upward) along four elevations on the Tibetan Plateau. We found that the temperature sensitivities of flowering stages had asymmetric responses to warming and cooling, whereas symmetric responses to warming and cooling were observed for the vegetative phenological sequences. Our findings showed that coverage changes of flowering functional groups (FFGs; i.e., early-spring FFG, mid-summer FFG, and late-autumn FFG) and their compensation effects combined with required accumulated soil temperatureto codetermined the asymmetric and symmetric responses of community phenological sequences to warming and cooling. These results suggest that coverage change in FFGs on warming and cooling processes can be a primary driver of community phenological variation and may lead to inaccurate phenlogical estimation at large scale, such as based on remote sensing

Biomechanical evaluation of a novel individualized zero-profile cage for anterior cervical discectomy and fusion: a finite element analysis

Introduction: Anterior cervical discectomy and fusion (ACDF) is a standard procedure for treating symptomatic cervical degenerative disease. The cage and plate constructs (CPCs) are widely employed in ACDF to maintain spinal stability and to provide immediate support. However, several instrument-related complications such as dysphagia, cage subsidence, and adjacent segment degeneration have been reported in the previous literature. This study aimed to design a novel individualized zero-profile (NIZP) cage and evaluate its potential to enhance the biomechanical performance between the instrument and the cervical spine.Methods: The intact finite element models of C3-C7 were constructed and validated. A NIZP cage was designed based on the anatomical parameters of the subject’s C5/6. The ACDF procedure was simulated and the CPCs and NIZP cage were implanted separately. The range of motion (ROM), intradiscal pressure (IDP), and peak von Mises stresses of annulus fibrosus were compared between the two surgical models after ACDF under four motion conditions. Additionally, the biomechanical performance of the CPCs and NIZP cage were evaluated.Results: Compared with the intact model, the ROM of the surgical segment was significantly decreased for both surgical models under four motion conditions. Additionally, there was an increase in IDP and peak von Mises stress of annulus fibrosus in the adjacent segment. The NIZP cage had a more subtle impact on postoperative IDP and peak von Mises stress of annulus fibrosus in adjacent segments compared to CPCs. Meanwhile, the peak von Mises stresses of the NIZP cage were reduced by 90.0–120.0 MPa, and the average von Mises stresses were reduced by 12.61–17.56 MPa under different motion conditions. Regarding the fixation screws, the peak von Mises stresses in the screws of the NIZP cage increased by 10.0–40.0 MPa and the average von Mises stresses increased by 2.37–10.10 MPa.Conclusion: The NIZP cage could effectively reconstruct spinal stability in ACDF procedure by finite element study. Compared with the CPCs, the NIZP cage had better biomechanical performance, with a lower stress distribution on the cage and a more moderate effect on the adjacent segmental discs. Therefore, the NIZP cage could prevent postoperative dysphagia as well as decrease the risk of subsidence and adjacent disc degeneration following ACDF. In addition, this study could serve as a valuable reference for the development of personalized instruments

Label-free immunoassay for porcine circovirus type 2 based on excessively tilted fiber grating modified with staphylococcal protein A

Using excessively tilted fiber grating (Ex-TFG) inscribed in standard single mode fiber, we developed a novel label-free immunoassay for specific detection of porcine circovirus type 2 (PCV2), which is a minim animal virus. Staphylococcal protein A (SPA) was used to modify the silanized fiber surface thus forming a SPA layer, which would greatly enhance the proportion of anti-PCV2 monoclonal antibody (MAb) bioactivity, thus improving the effectiveness of specific adsorption and binding events between anti-PCV2 MAbs and PCV2 antigens. Immunoassay experiments were carried out by monitoring the resonance wavelength shift of the proposed sensor under different PCV2 titer levels. Anti-PCV2 MAbs were thoroughly dissociated from the SPA layer by treatment with urea, and recombined to the SPA layer on the sensor surface for repeated immunoassay of PCV2. The specificity of the immunosensor was inspected by detecting porcine reproductive and respiratory syndrome virus (PRRSV) first, and PCV2 subsequently. The results showed a limit of detection (LOD) for the PCV2 immunosensor of ~9.371TCID50/mL, for a saturation value of ~4.801×103TCID50/mL, with good repeatability and excellent specificity

Behavioral Risky Multiple Attribute Decision Making with Interval Type-2 Fuzzy Ranking Method and TOPSIS Method

Considering the decision maker’s psychological state will influence their evaluation result in the risky multi-attribute decision-making problem, and the uncertainty of evaluation information. In this paper, we will propose a behavioral risky multiple attribute decision making with interval type-2 fuzzy ranking method and TOPSIS method. The interval type-2 fuzzy set is used to express the uncertainty of evaluation information, the prospect theory is applied to describe people’s psychological state in the processing of risk decision making. First, we define a new ranking method for interval type-2 fuzzy set to compare the interval type-2 fuzzy evaluation information and the expectation. Second, we give a relative distance for interval type-2 fuzzy set to get the distance between the interval type-2 fuzzy evaluation information and expectation. Third, we use the prospect theory, the new defined ranking method and the new defined distance formula to obtain the comprehensive prospect value. Fourth, we use the improved TOPSIS method and the comprehensive prospect value to rank the alternatives. Based on the above-mentioned steps, we give the solution for risky interval type-2 fuzzy multiple attribute decision-making problem, which named as the behavioral risky multiple attribute decision making with interval type-2 fuzzy ranking method and TOPSIS method. Finally, we use an example to show the rationality of this method. </jats:p

Behavioral risky hesitant fuzzy linguistic multiple attribute decision making with priority degree method

Abstract In this paper, we propose a behavioral risky hesitant fuzzy linguistic multiple attribute decision making with priority degree method. First, we define a new ranking method for hesitant fuzzy linguistic term sets to compare the hesitant fuzzy linguistic evaluation information and the expectation. Second, we give a relative distance for the hesitant fuzzy linguistic term set to get the distance between the hesitant fuzzy linguistic evaluation information and expectation. Third, we use the prospect theory, the new defined ranking method and the new defined distance formula to get interval individual prospect value. Forth, we apply the average operator to get interval comprehensive prospect value. Fifth, we define a priority degree method of interval number to rank interval comprehension prospect value. Based on the above steps, we give the solution of risky hesitant fuzzy linguistic multiple attribute decision making problem. Further, we use the example to illustrate the feasibility and rationality of this behavior method and the comparative analysis between the existing decision making method for the hesitant fuzzy linguistic term.</jats:p