Dual Processes and Compapison Theorem of Superprocesses Random Environents

In this paper, we give the dual processes for superprocesses in random environments constructed by L Mytnik and the comparison theorem of these superprocesses with Dawson-Watanabe superprocesses.

Principle and Process Window of Cerium Dioxide Thin Film Fabrication with Dual Plasma Deposition

Cerium dioxide, CeO2, is a potentially superior material in a myriad of areas, and many methods have been proposed to deposit single crystal CeO2 thin films. A novel fabrication technique utilizing dual plasma generated by metal vacuum arc (MEVVA) and radio frequency (RF) is discussed in this paper. We have recently conducted a systematic investigation to determine the optimal process window to deposit CeO2 thin films'on Si(100) substrates. The X-ray diffraction results show the existence of CeO2(100) in the as-deposited sample.

Cognitive Heuristics and Dual Process Models A Perspective for Management Accounting （MA）？

Classical management accounting （MA） Focusing on the facilitating perspective, focuses on decision facilitating and influencing （Demski ＆ Feltham, 1976）. MA has to provide information to managers and depending on the problem complexity, they have to solve problems in a dyadic way. A dual process model, the heuristic systematic model （HSM）, expands this so-called manager-accountant-dyad and shows different cases of actual human information processing. Managers and accountants either process systematically or heuristically. So far, many concepts have been designed in relation to the normative concept of the economical rational principle. Consequently, recent research only uses systematic information processing, based on the principle of the economic man. In this paper, a decision-behavior oriented approach tries to describe actual decision makers such as managers and accountants and shows new possibilities within MA. Therefore, the potential of heuristic information processing is analyzed, based on the phenomenon of ecological rationality as one shape of bounded rationality. Thus, different cognitive heuristics in business economics are identified and analyzed. Furthermore, the outstanding performance of heuristics compared with more complex calculations is shown. Unfortunately, these findings have been limited to marketing and investments so far. Significant research is needed, regarding conditions for applications and success factors of heuristics in business economics. New empirical findings have to be explicitly transferred to MA.

Innovation and development about dual process control of English writing training

This text combined actual teaching to conduct the discussion on how to innovate a pair of course to control the writing to train, explain the understanding of teaching method of pair of course of this text, summarize the concrete method from 7 respects, expect to exchange in launching a pair of course and controlling the concrete operation that the writing trains with everybody, share the teaching experience and realize, by improving and upgrading the teaching level of writing of English. This text thinks that it reflects that innovative thinking is in teaching to innovate and experience the course, the activity course of teaching should not understand analyzing the content of the teaching material and proposition composition are practised, but run through its cognition in experiencing the course dynamically in the real classroom, course, experience, interdynamic, teachers and students participate in teaching new idea and spiritual essence of study together.

Dynamics of Advantageous Mutant Spread in Spatial Death-Birth and Birth-Death Moran Models

The spread of an advantageous mutation through a population is of fundamental interest in population genetics. While the classical Moran model is formulated for a well-mixed population, it has long been recognized that in real-world applications, the population usually has an explicit spatial structure which can significantly influence the dynamics. In the context of cancer initiation in epithelial tissue, several recent works have analyzed the dynamics of advantageous mutant spread on integer lattices, using the biased voter model from particle systems theory. In this spatial version of the Moran model, individuals first reproduce according to their fitness and then replace a neighboring individual. From a biological standpoint, the opposite dynamics, where individuals first die and are then replaced by a neighboring individual according to its fitness, are equally relevant. Here, we investigate this death-birth analogue of the biased voter model. We construct the process mathematically, derive the associated dual process, establish bounds on the survival probability of a single mutant, and prove that the process has an asymptotic shape. We also briefly discuss alternative birth-death and death-birth dynamics, depending on how the mutant fitness advantage affects the dynamics. We show that birth-death and death-birth formulations of the biased voter model are equivalent when fitness affects the former event of each update of the model, whereas the birth-death model is fundamentally different from the death-birth model when fitness affects the latter event.

Intention and automaticity toward physical and sedentary screen-based leisure activities in adolescents:A profile perspective

Purpose： Physical activity （PA） and sedentary behavior （SB） are increasingly considered independent health behaviors. Additionally, current research suggests that both controlled and automatic determinants account for their adoption. The purpose of this article was to identify intention-automaticity profiles toward PA and screen-based SB and to examine how those profiles are associated with different behavioral patterns. Method： Two cross-sectional studies based on self-report questionnaires were conducted with French high school students （Study 1： n = 198; Study 2： n = 185）. Results： In all, 4 distinct motivational profiles appeared. The first 3 clusters emerged in both studies： ＂PA＂ （high levels of automaticity and intention for PA, low levels of automaticity and intention for screen-based SB）; ＂screen＂ （high levels of automaticity and intention for screen-based SB, low levels of automatieity and intention for PA）, and ＂mixed＂ （high levels of all variables）, whereas the fourth cluster was observed only in Study 2： ＂high control＂ （below-mean levels of automaticity, high levels of intention toward both PA and screen-based SB）. Adolescents with a screen profile displayed the least healthy behavioral pattern, whereas those in the PA profile demonstrated the most favorable behaviors. Conclusion： Future research is needed to extend these results to other populations using complementary assessment methods of automatic psychological processes and PA and SB behaviors.2018 Published by Elsevier B.V.on behalf of Shanghai University of Sport. This is an open access article under the CC BY-NC-ND license.（http：//creativecommons.org/licenses/by-nc-nd/4.0/）.

Theories behind a nursing intern’s error in terms of clinical decision-making

Clinical decision-making and judgment is an essential skill that should be acquired by nursing interns.However,many studies reveal that a large proportion of nursing interns have difficulty in meeting the basic expectation of clinical decision-making.This article begins with a brief review of some theories related to clinical decision-making.Then it takes a case,for example,to show how the wrong decision is made.Furthermore,it makes a general analysis on the case drawing on the concept of bounded rationality,dual-process model,and skills acquisition theory.This article ends with some reflections from the case,to improve the consciousness and skills in decision-making for nursing interns.

Interacting Super-Brownian Motions Depending on Population Size

In this paper, we investigate the interacting super-Brownian motion depending on population size. This process can be viewed as the high density limit of a sequence of particle systems with branching mechanism depending on their population size. We will construct a limit function-valued dual process.

Learning control of fermentation process with an improved DHP algorithm

Control of the fed-batch ethanol fermentation processes to produce maximum product ethanol is one of the key issues in the bioreactor system.However,ethanol fermentation processes exhibit complex behavior and nonlinear dynamics with respect to the cell mass,substrate,feed-rate,etc.An improved dual heuristic programming algorithm based on the least squares temporal difference with gradient correction(LSTDC) algorithm(LSTDC-DHP) is proposed to solve the learning control problem of a fed-batch ethanol fermentation process.As a new algorithm of adaptive critic designs,LSTDC-DHP is used to realize online learning control of chemical dynamical plants,where LSTDC is commonly employed to approximate the value functions.Application of the LSTDC-DHP algorithm to ethanol fermentation process can realize efficient online learning control in continuous spaces.Simulation results demonstrate the effectiveness of LSTDC-DHP,and show that LSTDC-DHP can obtain the near-optimal feed rate trajectory faster than other-based algorithms.