261 research outputs found
Research on the Management of Student Entrepreneurship Development in Higher Education
Entrepreneurial opportunity identification has attracted much attention in the field of entrepreneurial development as an important factor in the future success of university students in entrepreneurship. Based on experiential learning theory, this study proposes a moderated mediation model to investigate the relationship between entrepreneurial learning (EL) and entrepreneurial opportunity identification, the mediating role of entrepreneurial alertness (EA) and the moderating role of the entrepreneurial environment (EE). A snowball sampling method was used to collect 1263 questionnaires, of which 1164 were valid. The findings revealed that (1) entrepreneurial learning has a positive and significant effect on entrepreneurial opportunity identification among university students; (2) entrepreneurial alertness plays a partially mediating role between entrepreneurial learning and entrepreneurial opportunity identification; (3) entrepreneurial environment plays a moderating role between entrepreneurial learning and entrepreneurial opportunity identification, Compared with a low-level entrepreneurial environment, a high-level entrepreneurial environment can promote the impact
THE AFFECTION OF POSTURE IN SKY TO THE JUMP REACH HEIGHT
The purpose of this study is to understand in which degree the posture will affect the JRH (Jump Reach Height), and also to look for a posture in which he/she will get the maximum JRH. The jump performances of a male student with height 1.75m after release from the ground were simulated on computer. JRH of the hand were calculated when the subject made fourteen different postures in sky. It was shown that different posture has affection to JRH. The difference between the maximum and the minimum JRH is about 23 cm, which is about 7% of the largest JRH. In the extent of posture affection, the Lower Extremity seems to be much more important than the Upper Extremity
GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise
Text-to-3D, known for its efficient generation methods and expansive creative
potential, has garnered significant attention in the AIGC domain. However, the
amalgamation of Nerf and 2D diffusion models frequently yields oversaturated
images, posing severe limitations on downstream industrial applications due to
the constraints of pixelwise rendering method. Gaussian splatting has recently
superseded the traditional pointwise sampling technique prevalent in NeRF-based
methodologies, revolutionizing various aspects of 3D reconstruction. This paper
introduces a novel text to 3D content generation framework based on Gaussian
splatting, enabling fine control over image saturation through individual
Gaussian sphere transparencies, thereby producing more realistic images. The
challenge of achieving multi-view consistency in 3D generation significantly
impedes modeling complexity and accuracy. Taking inspiration from SJC, we
explore employing multi-view noise distributions to perturb images generated by
3D Gaussian splatting, aiming to rectify inconsistencies in multi-view
geometry. We ingeniously devise an efficient method to generate noise that
produces Gaussian noise from diverse viewpoints, all originating from a shared
noise source. Furthermore, vanilla 3D Gaussian-based generation tends to trap
models in local minima, causing artifacts like floaters, burrs, or
proliferative elements. To mitigate these issues, we propose the variational
Gaussian splatting technique to enhance the quality and stability of 3D
appearance. To our knowledge, our approach represents the first comprehensive
utilization of Gaussian splatting across the entire spectrum of 3D content
generation processes
Experiments and transient simulation on spring-loaded pressure relief valve under high temperature and high pressure steam conditions
Reliable performances of high temperature and high pressure operating steam pressure relief valves (HTHP PRVs) are extremely important for the safety of nuclear power plants. It is still a challenge to accurately describe the dynamic performance of HTHP PRVs. In this study, the accuracy of computational fluid dynamics (CFD) based modelling of the transient processes is examined. For one of the HTHP PRVs named DWPRV, the effects of different parameters on the dynamic performance were investigated by combining CFD simulation and experiments. In the simulation, the domain decomposition method (DDM) and the Grid Pre-deformation Method (GPM) were adopted to handle the moving disk geometry and the large mesh deformation. The effect of damping was also studied. It is confirmed that the use of CFD simulation can improve the design and settings of a HTHP PRV in a highly energetic service that is difficult to test due to safety reasons. For the DWPRV, it was found that the maximum flow rate occurs when the curtain area is 1.18 times the throat area. The degree of superheat ranging from 0 C to 100 C has a negligible effect on the performance of DWPRV regardless of the changes in the material mechanical properties with operating temperatures. The reseating pressure increases linearly with the rise in the distance between the upper adjusting ring and the sealing face. The lower adjusting ring exhibits a weak effect on the reseating pressure. For the ratios of rated lift to throat diameter equalling to 0.3 and 0.35, the DWPRV exhibits the higher blowdown for the ratio of 0.3
Potential of tropical maize populations for improving an elite maize hybrid
Identifying exotic maize (Zea mays L) populations possessing favorable new alleles lacking in local elite hybrids is an important strategy for improving maize hybrids. Selection of an appropriate breeding method will increase the chance of successfully transferring these favorable new alleles into elite inbred lines of local hybrids. The objec¬tives of this study were to: (i) evaluate 14 maize populations from CIMMYT and identify those containing favorable alleles for grain yield, ear length, ear diameter, kernel length, plant height, and ear height that are lacking in a local super hybrid [Jidan261 (W9706 × Ji853)], and to (ii) determine which inbred parent should be improved. These re¬sults showed that the populations Pob43, Pob501, and La Posta had positive and significant numbers of favorable alleles not found in hybrid W9706 × Ji853 that could be used for simultaneous improvement of its grain yield, ear length, and kernel length, and that population QPM-Y was also a good donor for improvement of ear diameter and kernel length in the hybrid. Based on allele frequencies in the two inbred lines and the donor population, when the populations Pob43, La Posta, Pob501, and QPM-Y were used as donors, inbred line W9706 would be improved by selfing the F1 of the cross W9706 × donor population. These results suggested that CIMMYT germplasm has potential to improve temperate elite hybrids. The relationship between GCA and SCA from a previous study and the parameters obtained from the Dudley method are discussed. The results showed that the values of Lplμ’ esti¬mates obtained by applying the Dudley method had the same trend as GCA effects for grain yield but a less clear trend for ear length, while the trends in the relationship value were reversed for SCA between these populations and Lancaster-derived lines
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Glycosylation-dependent opsonophagocytic activity of staphylococcal protein A antibodies
Antibodies may bind to bacterial pathogens or their toxins to control infections, and their effector activity is mediated through the recruitment of complement component C1q or the engagement with Fcγ receptors (FcγRs). For bacterial pathogens that rely on a single toxin to cause disease, immunity correlates with toxin neutralization. Most other bacterial pathogens, including Staphylococcus aureus, secrete numerous toxins and evolved multiple mechanisms to escape opsonization and complement killing. Several vaccine candidates targeting defined surface antigens of S. aureus have failed to meet clinical endpoints. It is unclear that such failures can be solely attributed to the poor selection of antibody targets. Thus far, studies to delineate antibody-mediated uptake and killing of Gram-positive pathogens remain extremely limited. Here, we exploit 3F6-hIgG1, a human monoclonal antibody that binds and neutralizes the abundant surface-exposed Staphylococcal protein A (SpA). We find that galactosylation of 3F6-hIgG1 that favors C1q recruitment is indispensable for opsonophagocytic killing of staphylococci and for protection against bloodstream infection in animals. However, the simple removal of fucosyl residues, which results in reduced C1q binding and increased engagement with FcγR, maintains the opsonophagocytic killing and protective attributes of the antibody. We confirm these results by engineering 3F6-hIgG1 variants with biased binding toward C1q or FcγRs. While the therapeutic benefit of monoclonal antibodies against infectious disease agents may be debatable, the functional characterization of such antibodies represents a powerful tool for the development of correlates of protection that may guide future vaccine trials. © 2020 National Academy of Sciences. All rights reserved
Genomic analyses provide insights into the genome evolution and environmental adaptation of the tobacco moth Ephestia elutella
Ephestia elutella is a major pest responsible for significant damage to stored tobacco over many years. Here, we conduct a comparative genomic analysis on this pest, aiming to explore the genetic bases of environmental adaptation of this species. We find gene families associated with nutrient metabolism, detoxification, antioxidant defense and gustatory receptors are expanded in the E. elutella genome. Detailed phylogenetic analysis of P450 genes further reveals obvious duplications in the CYP3 clan in E. elutella compared to the closely related species, the Indianmeal moth Plodia interpunctella. We also identify 229 rapidly evolving genes and 207 positively selected genes in E. elutella, respectively, and highlight two positively selected heat shock protein 40 (Hsp40) genes. In addition, we find a number of species-specific genes related to diverse biological processes, such as mitochondria biology and development. These findings advance our understanding of the mechanisms underlying processes of environmental adaptation on E. elutella and will enable the development of novel pest management strategies
Phosphoproteins regulated by heat stress in rice leaves
<p>Abstract</p> <p>Background</p> <p>High temperature is a critical abiotic stress that reduces crop yield and quality. Rice (<it>Oryza sativa </it>L.) plants remodel their proteomes in response to high temperature stress. Moreover, phosphorylation is the most common form of protein post-translational modification (PTM). However, the differential expression of phosphoproteins induced by heat in rice remains unexplored.</p> <p>Methods</p> <p>Phosphoprotein in the leaves of rice under heat stress were displayed using two-dimensional electrophoresis (2-DE) and Pro-Q Diamond dye. Differentially expressed phosphoproteins were identified by MALDI-TOF-TOF-MS/MS and confirmed by Western blotting.</p> <p>Results</p> <p>Ten heat-phosphoproteins were identified from twelve protein spots, including ribulose bisphos-phate carboxylase large chain, 2-Cys peroxiredoxin BAS1, putative mRNA binding protein, Os01g0791600 protein, OSJNBa0076N16.12 protein, putative H(+)-transporting ATP synthase, ATP synthase subunit beta and three putative uncharacterized proteins. The identification of ATP synthase subunit beta was further validated by Western-blotting. Four phosphorylation site predictors were also used to predict the phosphorylation sites and the specific kinases for these 10 phosphoproteins.</p> <p>Conclusion</p> <p>Heat stress induced the dephosphorylation of RuBisCo and the phosphorylation of ATP-β, which decreased the activities of RuBisCo and ATP synthase. The observed dephosphorylation of the mRNA binding protein and 2-Cys peroxiredoxin may be involved in the transduction of heat-stress signaling, but the functional importance of other phosphoproteins, such as H<sup>+</sup>-ATPase, remains unknown.</p
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