Abstract Perovskite oxide semiconductor is unique for its capability to form epitaxial heterostructures with both dielectric and metallic perovskite oxides. The study underscores the potential of ...perovskite oxides for multi‐layer stacking, a key aspect in advancing semiconductor technology as silicon‐based devices evolve toward 3D stacked structures. Fabrication of the first double‐level double‐gate field‐effect transistors (DL DG‐FETs) is demonstrated, where each layer is epitaxially grown using all‐perovskite oxides. This resulted in improvements in subthreshold swing, current drivability, and field effect mobility. This innovation not only highlights the distinctive potential of perovskite oxides but also provides new avenues for integration with other perovskite oxides on Si for more advanced electronic functions.
The aim of this work was to study the physical stability and rheological properties of an oil-in-water emulsion stabilized by a konjac glucomannan-whey protein (KGM-WP) mixture at a konjac ...glucomannan concentration of 0.1-0.5% (
/
) and a whey protein concentration of 1.0-3.0% (
/
). The droplet size, microstructure, stackability, flow behavior, and viscoelastic properties were measured. The experimental results showed that with an increase in KGM and WP concentrations, the droplet size (D
) of the emulsion gradually decreased to 12.9 μm, and the macroscopic performance of the emulsion was a gel-like structure that can be inverted and resist flow and can also be extruded and stacked. The static shear viscosity and viscoelasticity generally increased with the increase of konjac glucomannan and whey protein concentration. Emulsions were pseudo-plastic fluids with shear thinning behavior (flow behavior index: 0.15 ≤ n ≤ 0.49) and exhibited viscoelastic behavior with a storage modulus (G') greater than their loss modulus (G″), indicating that the samples all had gel-like behavior (0.10 < n' < 0.22). Moreover, storage modulus and loss modulus of all samples increased with increasing KGM and WP concentrations. When the concentration of konjac glucomannan was 0.3%
/
, the emulsion had similar rheological behavior to commercial mayonnaise. These results suggested that the KGM-WP mixture can be used as an effective substitute for egg yolk to make a cholesterol-free mayonnaise-like emulsion. The knowledge obtained here had important implications for the application of protein-polysaccharide mixtures as emulsifiers/stabilizers to make mayonnaise-like emulsions in sauce and condiments.
We introduce the geometric problem of
stackabilization
: how to geometrically modify a 3D object so that it is more amenable to stacking. Given a 3D object and a stacking direction, we define a ...measure of stackability, which is derived from the gap between the lower and upper envelopes of the object in a stacking configuration along the stacking direction. The main challenge in stackabilization lies in the desire to modify the object's geometry only subtly so that the intended functionality and aesthetic appearance of the original object are not significantly affected. We present an automatic algorithm to deform a 3D object to meet a target stackability score using energy minimization. The optimized energy accounts for both the scales of the deformation parameters as well as the preservation of pre-existing geometric and structural properties in the object, e. g., symmetry, as a means of maintaining its functionality. We also present an intelligent editing tool that assists a modeler when modifying a given 3D object to improve its stackability. Finally, we explore a few fun variations of the stackabilization problem.
Efficiency in supply chains is critically affected by the performance of operations within warehouses. For this reason, the activities related to the disposition and management of inventories are ...crucial. This work addresses the multi-level storage locations assignment problem for SKU pallets, considering divisible locations in the first level to improve the picking operation and reduce the travel times associated with the routes of the cranes. A mathematical programming model is developed considering the objective of minimizing the total travel distance, and in the background, maximizing the use of storage capacity. To solve this complex problem, we consider its decomposition into four subproblems, which are solved sequentially. To evaluate the performance of the model, two analysis scenarios based on different storage strategies are proposed to evaluate both the entry and exit distance of pallets, as well as the cost associated with the movements.
Although planning and scheduling optimization have been explored in the literature for many years now, it still remains a hot topic in the current scientific research. The changing market trends, ...globalization, technical and technological progress, and sustainability considerations make it necessary to deal with new optimization challenges in modern manufacturing, engineering, and healthcare systems. This book provides an overview of the recent advances in different areas connected with operations research models and other applications of intelligent computing techniques used for planning and scheduling optimization. The wide range of theoretical and practical research findings reported in this book confirms that the planning and scheduling problem is a complex issue that is present in different industrial sectors and organizations and opens promising and dynamic perspectives of research and development.
Stackable ROADMs (S-ROADMs) have been proposed for use in regional IP-over-CWDM networks. The S-ROADM can be constructed by connecting modules with different wavelengths required in the node. The ...experimental results clarified that the S-ROADM could mux and demux the wavelengths successfully, and gave no limit to the passing-through wavelengths, making the network be wavelength transparent. Contrary to the S-ROADM, the existing fixed ROADMs were not wavelength transparent.
In image recognition, improving the interpretability of the recognition model can help people understand the model better and increase the trust of human beings for model prediction. The ...prototype-based interpretable model is a self-explanatory image recognition model that simulates the evidence reasoning used in human recognition. Each prototype is evidence that contains category features, which can help in determining the image category. Based on the prototype-based model, this paper introduces a deep interpretable network architecture called the high-quality prototypical part network (HQProtoPNet). Compared to existing work, this paper adds random erasing to enhance the picture, helping to improve prototype generation and increase model prediction. The multiple scale conversion operation is also introduced and the similarity calculation is improved to make the prototype have multiscale information and matching ability. Furthermore, the accuracy of HQProtoPNet can reach or even exceed the accuracy of several black-box models. Additionally, due to the improvement in the quality of the prototype, the model's prediction accuracy is improved by stacking without reducing the interpretability of the stacked model, which gives the model real stackability.
This paper addresses two issues:
1.
(1) What it means for a higher-order, eager functional language to be implemented with a single, global, stack-based environment and
2.
(2) how the existence of ...such an environment can be predicted statically.
The central theme is the use of the λ-abstraction to control the
extent or
lifetime of bindings. All programs in a higher-order, call-by-name language can be implemented with a stack environment. The reason: soundness of η-expansion and decurrying for call-by-name. However, η-expansion is
unsound for call-by-value. Hence, we must identify a subset of the simply typed, call-by-value λ-calculus, where the λ-abstraction can serve as the block construct for a stack implementation.
The essence of environment stackability is that the shape of the environment remains the same before and after the execution of an expression. Thus, if a closure is returned as a value, the environment trapped in it must be a subenvironment of the global environment. This yields a dynamic criterion for stackability — indeed, it is the downwards funargs criterion of the LISP community. A safe static criterion can now be found via closure analysis.
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