Sensitivity study of ring-shaped electrostatic sensor based on nonparametric estimation

In this paper, aiming at the problem of the electrostatic sensor signal satisfying the gaussian distribution, the non-parametric kernel estimation method is introduced, and the electrode induction model of the electrostatic sensor is finally fitted by combining the goodness of fit and the simulation data samples. This model satisfies the gaussian distribution and the electrostatic signal satisfying the gaussian distribution is given in the theory. Maxwell simulation software was used to simulate the theoretical sensitivity of the electrostatic sensor and the axial and radial spatial sensitivity characteristics of different sensor parameters were obtained. Within a certain range, the relative permittivity of the insulating tube is also discussed. Finally, an insulating tube with a relative permittivity of 3 is selected as the material of the insulating tube. Finally, the experiment is carried out on the experimental equipment and the conclusions obtained in the article are confirmed.

Autolysis and Cell Death Is Affected by pH in L. reuteri DSM 20016 Cells

A key obstacle to the successful delivery of a probiotic to the consumer is maintaining viability of the live cells during storage, a challenge for the beneficial Lactibacillus reuteri. Three processes play a role in the reduction of viability: autolysis, cell death, and cell weakening. Using a phosphate induction model of autolysis, the initial aim of this project was to discover novel molecular determinants of autolysis in L. reuteri, with the long -term goal of elucidating new strategies for increasing viability. We employed a 2D Native/SDS-Page method to monitor changes in protein expression over time; however, the result was that excess phosphate did not induce noticeable changes in expression patterns. On the other hand, we found that pH affects both the rate of total viability and autolysis, as seen with other species of LAB. In addition, we found that the phosphate model of autolysis may not be sufficient to explain how autolysis is triggered in L. reuteri. Two parameters appear to modulate the pH in media containing L. reuteri cells: overall buffering capacity and the presence of a carbon source. Ultimately, phosphate sources appear to facilitate autolysis by maintaining pH in the media via a higher buffering capacity. In addition, the alkaline sugar free almond drink appears to be a promising possible preservative for L. reuteri.

A multimodal induction model for beginning teachers: a narrative approach

PurposeThe researcher emphasised with current research the need for an induction programme for beginning teachers in the South African context to overcome the challenges experienced by beginning teachers while bridging from pre-service teaching to in-service teaching and to introduce and illuminate the design of a new multimodal induction model.Design/methodology/approachThe researcher followed a narrative approach by discussing previous research regarding the insufficient pre-service training beginning teachers received and the lack of a structured induction programme in the South African context.FindingsResearch has shown that South African beginning teachers have faced similar difficulties as beginning teachers worldwide, but South African beginning teachers are not subjected to formal induction programmes. While the South African Department of Basic Education offered guidelines for the beginning teacher orientation programme, there is almost no evidence in the literature that schools follow such guidelines.Research limitations/implicationsThe implications of this paper give other researchers in this field a broader perspective on how the new multimodal induction model can make a measurable contribution to the school, the mentor, the beginning teacher and, most importantly, the learner.Practical implicationsThe Department of Basic Education in South Africa and Principals need to follow the guidelines of this multimodal induction model to retain beginning teachers and improve the performance of learners.Originality/valueThis is a new model developed by the researcher to explore the benefits of promoting excellence in the teaching profession through a technology-rich, integrated induction programme to increase the productivity, retention and leadership of beginning teachers, enhance and prevent the loss of human capital, with the ultimate goal of improving learners' growth and performance.

Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition

This article describes a simple PCFG induction model with a fixed category domain that predicts a large majority of attested constituent boundaries, and predicts labels consistent with nearly half of attested constituent labels on a standard evaluation data set of child-directed speech. The article then explores the idea that the difference between simple grammars exhibited by child learners and fully recursive grammars exhibited by adult learners may be an effect of increasing working memory capacity, where the shallow grammars are constrained images of the recursive grammars. An implementation of these memory bounds as limits on center embedding in a depth-specific transform of a recursive grammar yields a significant improvement over an equivalent but unbounded baseline, suggesting that this arrangement may indeed confer a learning advantage.

Dapk1 promoted inflammation of infantile pneumonia by p38MAPK/NF-κB signaling pathway

Background: The present study was designed to investigate the function of Death associated protein kinase 1 (DAPK1) in infantile pneumonia and explore the potential mechanism of the actions.Methods: Male C57BL/6 mice were injected with 2 mg/kg of LPS for the mice model of infantile pneumonia. A549 cell were treated with 100 ng/ml of LPS for vitro model of infantile pneumonia. Dapk1 mRNA and protein expressions in 6, 12 or 24 h after induction model of mice.Results: Dapk1 gene increased inflammation in vitro model through activation of p38MAPK-mediated NF-κB expression. The inhibition of p38MAPK or NF-κB reduced the pro-inflammation effects of DAPK1 in infantile pneumonia.Conclusions: Our study demonstrates that Dapk1 promoted inflammation of infantile pneumonia by p38MAPK/NF-κB signaling pathway, may be achieved inflammation by activation of p38MAPK/NF-κB signaling pathway

Fly low: The ground effect of a barn owl (Tyto alba) in gliding flight

Birds take advantage of the ground effect to improve their flight performance by flying low over ground. In this paper, we created a high-fidelity computational fluid dynamics model of a barn owl ( Tyto alba) to study its ground effect in gliding flight. A computational fluid dynamics simulation shows that the ground effect leads to increases in the lift/drag ratio and span efficiency. Interestingly, the span efficiency exceeds one when the bird is below a certain ground clearance ( h/ c = 0.8). Such an estimation is under the condition of different weight supports; hence, there is no fair comparison for many parameters. Therefore, we used a vortex induction model validated by computational fluid dynamics to estimate the aerodynamics at different ground clearances under a constant weight support. As the ground blocks the downwash of the bird, an image wake system can equivalently replace the ground, forming a vortex system with four components: the wake vortex, bound vortex, image wake vortex and image bound vortex. The vortex induction model shows the vertical flows induced by these four vortex components. Such vertical flow can be used to estimate the drag production on the bird. As the ground clearance decreases, the drag due to the wake vortex and its image counterpart as a whole decreases, while that due to the bound vortex and its image counterpart increases slightly and then decreases. The remaining drag, namely, the zero-lift drag, undergoes a shallow “U” shape as a function of the ground clearance. We also analyzed the streamwise flow induction using this model and showed that the streamwise flow is reduced due to the ground effect, which might cause insufficient weight support at low speeds.

Induction Models on $\mathbb{N}$

Mathematical induction is a fundamental tool in computer science and mathematics. Henkin [12] initiated the study of formalization of mathematical induction restricted to the setting when the base case B is set to singleton set containing 0 and a unary generating function S. The usage of mathematical induction often involves wider set of base cases and k−ary generating functions with different structural restrictions. While subsequent studies have shown several Induction Models to be equivalent, there does not exist precise logical characterization of reduction and equivalence among different Induction Models. In this paper, we generalize the definition of Induction Model and demonstrate existence and construction of S for given B and vice versa. We then provide a formal characterization of the reduction among different Induction Models that can allow proofs in one Induction Models to be expressed as proofs in another Induction Models. The notion of reduction allows us to capture equivalence among Induction Models.