This paper presents further validation of previous works [1, 2] on simulating fully hyperbolic and fully conservative gas-solid mixture PDEs. Such a system allows non-equilibrium processes between the two phase system...
This paper presents further validation of previous works [1, 2] on simulating fully hyperbolic and fully conservative gas-solid mixture PDEs. Such a system allows non-equilibrium processes between the two phase systems and facilitates explosive volcanic eruption investigations. Resolutions for this system are presented and compared with other numerical methods demonstrating the fundamental physical and numerical significances to the relative motion within volcanic eruptions.
Laws of large numbers guarantee that given a large enough sample from some population, the measure of any fixed sub-population is well-estimated by its frequency in the sample. We study laws of large numbers in sampli...
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Recent work in signal propagation theory has shown that dropout limits the depth to which information can propagate through a neural network. In this paper, we investigate the effect of initialisation on training spee...
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A novel multivariate deep causal network model (MDCN) is proposed in this paper, which combines the theory of conditional variance and deep neural networks to identify the cause-effect relationship between different i...
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The vascular network of the circulatory system plays a vital role in maintaining homeostasis in the human *** this paper,a novel modular microfluidic system with a vertical two-layered configuration is developed to ge...
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The vascular network of the circulatory system plays a vital role in maintaining homeostasis in the human *** this paper,a novel modular microfluidic system with a vertical two-layered configuration is developed to generate largescale perfused microvascular networks in *** two-layer polydimethylsiloxane(PDMS)configuration allows the tissue chambers and medium channels not only to be designed and fabricated independently but also to be aligned and bonded *** method can produce a modular microfluidic system that has high flexibility and scalability to design an integrated platform with multiple perfused vascularized tissues with high *** medium channel was designed with a rhombic shape and fabricated to be semiclosed to form a capillary burst valve in the vertical direction,serving as the interface between the medium channels and tissue *** and anastomosis at the vertical interface were successfully achieved by using different combinations of tissue chambers and medium *** large-scale microvascular networks were generated and quantified in terms of vessel length and *** leakage of the perfused 70-kDa FITC-dextran confirmed the lumenization of the microvascular networks and the formation of tight vertical interconnections between the microvascular networks and medium channels in different structural *** platform enables the culturing of interconnected,large-scale perfused vascularized tissue networks with high density and scalability for a wide range of multiorgan-on-a-chip applications,including basic biological studies and drug screening.
We present a new technique, inspired by zero-knowledge proof systems, for proving lower bounds on approximating the chromatic number of a graph. To illustrate this technique we present simple reductions from max-3-col...
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We present a new technique, inspired by zero-knowledge proof systems, for proving lower bounds on approximating the chromatic number of a graph. To illustrate this technique we present simple reductions from max-3-coloring and max-3-sat, showing that it is hard to approximate the chromatic number within /spl Omega/(N/sup /spl delta//), for some /spl delta/>0. We then apply our technique in conjunction with the probabilistically checkable proofs of Bellare, Goldreich and Sudan (1995), and of Hastad (1996), and show that it is hard to approximate the chromatic number to within /spl Omega/(N/sup 1-/spl epsiv//) for any E>0, assuming NP/spl sub/ ZPP. Here, ZPP denotes the class of languages decidable by a random expected polynomial-time algorithm that makes no errors. Our result matches (up to low order terms) the known gap for approximating the size of the largest independent set. Previous 0(N/sup /spl delta//) gaps for approximating the chromatic number (such as those by Lund and Yannakakis (1994), and by Furer (1995)) did not match the gap for independent set, and do not extend beyond /spl Omega/(N/sup 1/2-/spl epsiv//).
Performance monitoring and fault detection systems are becoming more common in large photovoltaic (PV) plants as they can contribute to decreasing operation and maintenance costs, as well as for maximizing plant yield...
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ISBN:
(纸本)9781509007387
Performance monitoring and fault detection systems are becoming more common in large photovoltaic (PV) plants as they can contribute to decreasing operation and maintenance costs, as well as for maximizing plant yield and lifetime. However, in case of residential and smaller commercial PV system applications the cost of the performance monitoring hardware and implementation is still high. Therefore, we present the practical development and implementation of a low-cost PV performance monitoring system for residential and commercial PV applications, based on the inverter's own monitoring and communication capabilities. The proposed monitoring system supervises the PV array maximum power and inverter energy production using performance models of the system, and is able to detect PV array and inverter level power loss and faults.
In recent years, there have been significant advances in the use of deep learning methods in inverse problems such as denoising, compressive sensing, inpainting, and super-resolution. While this line of works has pred...
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Lactose intolerance is a type of digestive problem that may threaten the population because milk and dairy products compose of nutrients that are essential for human body. Genetic tests possess a great potential to de...
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Lactose intolerance is a type of digestive problem that may threaten the population because milk and dairy products compose of nutrients that are essential for human body. Genetic tests possess a great potential to detect lactose intolerance as it can be used in children and even infants. However, a new approach to analyze the genetic test results is needed to elucidate the Single Nucleotide Polymorphisms (SNPs) that are related to lactose intolerance. In this work, we utilized the machine learning based feature selection to select the SNPs associated with lactose tolerance trait from genotyping samples of direct-to-customer (DTCG genetic tests, obtained from the public database. Recursive Feature Elimination (RFE) with XGBoost model was used to perform feature selection. We also compared three different models, such as XGBoost, support vector machine (SVM), and random forest (RF) for training the selected features. Our findings revealed that 20 SNPs (out of 3501) were chosen, with rs4394668 as the most important variables (F-score 0.009). Furthermore, when compared to the RF and SVM models, the XGBoost model had the highest accuracy (0.87). Further studies should be undertaken to elucidate how the selected SNPs may lead to the lactose intolerance trait.
On numerous nonmetallic systems, the ac conductivity is observed to follow an approximate power law behavior σ(ω)=ωs with 0<s⩽1. We show that the presence of nonlimiting, i.e., ohmic, contacts on the sample nece...
On numerous nonmetallic systems, the ac conductivity is observed to follow an approximate power law behavior σ(ω)=ωs with 0
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