­^¤å´£­n Information industry has made progress rapidly in Mainland China from 80's.This study applies Devlin's (1991) framework and brings up a three dimensional space model which includes "growth type", "growth direction", and "growth mode". We can analyze the change of the information enterprises in Mainland China by way of this model. With respect of case study, We describe and examine Legend Group's development strategy and organization structure by taking advantage of our model. We recognize Legend Group is a type of Related-Constrained enterprise, its growth type includes informal organization structure, functional centralization, and regional decentralization; its growth direction is the development strategy of a backward linkage--Trade, Manufacturing, and R&D; its growth mode is licensing within joint development, and extends multi-type cooperative relationship. At last, we demonstrate the growth of the information firm in Mainland China is a innovation progress of different stages. Moreover, this study reveals the fact the development of the firm must match up external industry environment. Under the circumstance, the firm can evolve its unique growth path and make sustained progress.

Current models used to forecast production in unconventional oil and gas formations are often not producing valid results. When traditional decline curve analysis models are used in shale formations, Arps b-values greater than 1 are commonly obtained, and these values yield infinite cumulative production, which is non-physical.. Additional methods have been developed to prevent the unrealistic values produced, like truncating hyperbolic declines with exponential declines when a minimum production rate is reached. Truncating a hyperbolic decline with an exponential decline solves some of the problems associated with decline curve analysis, but it is not an ideal solution. The exponential decline rate used is arbitrary, and the value picked greatly effects the results of the forecast. A new empirical model has been developed and used as an alternative to traditional decline curve analysis with the Arps equation. The new model is based on the concept of logistic growth models. Logistic growth models were originally developed in the 1830s by Belgian mathematician, Pierre Verhulst, to model population growth. The new logistic model for production forecasting in ultra-tight reservoirs uses the concept of a carrying capacity. The carrying capacity provides the maximum recoverable oil or gas from a single well, and it causes all forecasts produced with this model to be within a reasonable range of known volumetrically available oil. Additionally the carrying capacity causes the production rate forecast to eventually terminate as the cumulative production approaches the carrying capacity. The new model provides a more realistic method for forecasting reserves in unconventional formations than the traditional Arps model. The typical problems encountered when using conventional decline curve analysis are not present when using the logistic model. Predictions of the future are always difficult and often subject to factors such as operating conditions, which can never be predicted. The logistic growth model is well established, robust, and flexible. It provides a method to forecast reserves, which has been shown to accurately trend to existing production data and provide a realistic forecast based on known hydrocarbon volumes. / text

The individual growth model is a relatively new statistical technique. It is now widely used to examine the trajectories of individuals and groups in repeated measures data. This study examines the association of the receptive vocabulary over time and characteristics of children who were treated for brain tumors. The children undertook different types of treatment from one to any combinations of surgery, radiation and chemotherapy. The individual growth model is used to analyze the longitudinal data and to address the issues behind the data. Results of this study present several factors' influences to the rate of change of PPVT scores. The conclusions of this thesis indicate that the decline in the PPVT scores is associated with gender, age at diagnosis, socioeconomic status, type of treatment and Neurological Predictor Scale.

This thesis is concerned with certain properties of stochastic growth models. A stochastic growth model is a model of infection spread, through a population of individuals, that incorporates an element of randomness. The models we consider are variations on the contact process, the simplest stochastic growth model with a recurrent infection. Three main examples are considered. The first example is a version of the contact process on the complete graph that incorporates dynamic monogamous partnerships. To our knowledge, this is the first rigorous study of a stochastic spatial model of infection spread that incorporates some form of social dynamics. The second example is a non-monotonic variation on the contact process, taking place on the one-dimensional lattice, in which there is a random incubation time for the infection. Some techniques exist for studying non-monotonic particle systems, specifically models of competing populations [38] [12]. However, ours is the first rigorous study of a non-monotonic stochastic spatial model of infection spread. The third example is an additive two-stage contact process, together with a general duality theory for multi-type additive growth models. The two-stage contact process is first introduced in \cite{krone}, and several open questions are posed, most of which we have answered. There are many examples of additive growth models in the literature [26] [16] [29] [49], and most include a proof of existence of a dual process, although up to this point no general duality theory existed. In each case there are three main goals. The first is to identify a phase transition with a sharp threshold or ``critical value'' of the transmission rate, or a critical surface if there are multiple parameters. The second is to characterize either the invariant measures if the population is infinite, or to characterize the metastable behaviour and the time to extinction of the disease, if the population is finite. The final goal is to determine the asymptotic behaviour of the model, in terms of the invariant measures or the metastable states. In every model considered, we identify the phase transition. In the first and third examples we show the threshold is sharp, and in the first example we calculate the critical value as a rational function of the parameters. In the second example we cannot establish sharpness due to the lack of monotonicity. However, we show there is a phase transition within a range of transmission rates that is uniformly bounded away from zero and infinity, with respect to the incubation time. For the partnership model, we show that below the critical value, the disease dies out within C log N time for some C>0, where N is the population size. Moreover we show that above the critical value, there is a unique metastable proportion of infectious individuals that persists for at least e^{\gamma N}$ time for some $\gamma>0$. For the incubation time model, we use a block construction, with a carefully chosen good event to circumvent the lack of monotonicity, in order to show the existence of a phase transition. This technique also guarantees the existence of a non-trivial invariant measure. Due to the lack of additivity, the identification of all the invariant measures is not feasible. However, we are able to show the following is true. By rescaling time so that the average incubation period is constant, we obtain a limiting process as the incubation time tends to infinity, with a sharp phase transition and a well-defined critical value. We can then show that as the incubation time approaches infinity (or zero), the location of the phase transition in the original model converges to the critical value of the limiting process (respectively, the contact process). For the two-stage contact process, we can show that there are at most two extremal invariant measures: the trivial one, and a non-trivial upper invariant measure that appears above the critical value. This is achieved using known techniques for the contact process. We can show complete convergence, from any initial configuration, to a combination of these measures that is given by the survival probability. This, and some additional results, are in response to the questions posed by Krone in his original paper \cite{krone} on the model. We then generalize these ideas to develop a theory of additive growth models. In particular, we show that any additive growth model, having any number of types and interactions, will always have a dual process that is also an additive growth model. Under the additional technical condition that the model preserves positive correlations, we can then harness existing techniques to conclude existence of at most two extremal invariant measures, as well as complete convergence. / Graduate

At present, digitalization in many industries is changing and gradually permeating in all fields of life, of which the digitalization in healthcare has gradually been recognized and entered on the stage. Covid-19 is the biggest "Black Swan Event" in recent years, disrupting the pattern of China and the world. Impacted by Industrial Digitalization Upgrade and the pandemic, the process of digital reform in the healthcare industry has been further accelerated, represented by AI + pharmaceuticals, telecare, and SaaS systems etc.. All these new digital tools and technologies have successively received large amounts of financing in the primary market, and among them, some high-quality enterprises have had successful IPO. Meanwhile, many traditional medical enterprises are also keeping pace with the times through digital transformation, which all indicate the importance of digitalization of medical enterprises. We hope to explore in this paper the factors behind the digital transformation of medical enterprises that have significantly promote the digital reform of enterprises, and whether the factors such as enterprise R&D, enterprise scale, and enterprise digitalization promotion efforts will accelerate the digitalization process. Based on this background, this paper will conduct in-depth research in this direction. First, in the chapters of Research Background and Research Significance, this paper expounds the issues studied in this paper, and points out the relative economic and social significance; and summarizes previous scholars' research in this field, including the application of digital transformation in other industries, the beneficial efforts on business development and the related factors to accelerate the digital transformation of enterprises. Then, it uses relevant theoretical analysis, such as Solow's Neoclassical Growth Model and other theories to explain the issues studied in this paper. At the same time, based on relevant theories and literature review, relevant hypotheses are being put forward. According to the current literature research, we assume that enterprise scale, enterprise R&D, and enterprise financialization level are crucial factors in promoting the process of enterprise digitization. Therefore, this paper collects relevant Annual Reports of all healthcare enterprises on the listing market which have already completed the digitalization or arecurrently undergoing digital transformation in 2020 and 2021 after this pandemic. In this paper, we use the frequency of the core word "digitalization" in the Annual Report as the Explained Variable to measure the process of digital transformation of the enterprises; concurrently, we use Enterprise R&D Level, Enterprise Scale and Enterprise Product Commercialization Level as Explanatory Variables in this paper, and complements the relevant Control Variables to construct a Panel Regression Model. Besides, the Industry Fixed-Effect and Time Fixed-Effect have been used respectively to control the relevant time trend, and the combination of both was called the "Two-Way Fixed-Effect Model". In addition, the research adopts the method of Cluster Robust Standard Error to adjust in the empirical demonstration to reduce the interference of heteroscedasticity. Finally, according to the conclusions verified by the combination of theory and empirical research in this paper, relevant policies and suggestions are included. / Business Administration/Finance

CSM-Cropsim-CERES -Wheat is a crop growth model that predicts crop development stages, among other things, using genetic coefficients for vernalization and photoperiod. We used this model to predict flowering date for 12 durum varieties seeded in trials at Maricopa and Yuma from 1998 to 2006. The difference between simulated and measured flowering date averaged 4 days without genetic coefficients and improved to 3.5 days if genetic coefficients for flowering and vernalization were included for each variety.

The last two decades have seen rapid evolution of Information and Communication Technology (ICT) capabilities in the public sector which facilitate the adoption of several IT innovations. E-government is one of these strategic innovations that many government organisations have considered adopting to deliver government information and services to citizens and to support the modernisation of their business processes. This work therefore investigates this issue through a study of the impact of e-government on government organisations and their capabilities towards the e-government adoption. This has led to developing a framework for e-government adoption that outlines the implementation process, determines critical factors influencing adoption, and identifies barriers that could keep government organisations behind the advanced stages of the implementation process. The research also proposes a novel architecture framework for e-government that offers a clear picture of ICT requirements, along with a business process model needed for the implementation for e-government. This framework also supports the researcher in terms of validating the proposed conceptual framework in case organisations. The researcher, by adopting a qualitative case study strategy, examines the proposed framework in three government organisations in the Kingdom of Bahrain.. The analysis of empirical data comes up with a novel comprehensive framework for e-government adoption in the public sector that can be a benefit in multiple ways. The major benefit of this framework is to reduce the confusion surrounding e-government adoption in the public sector by understanding the implementation process, identifying the requirements of ICT tools, and highlighting the importance of organisational readiness and the impact of the environment. The framework can also help decision makers in government to provide a clear strategic action plan for e-government. Finally, the proposed framework can be used by IT experts to estimate the progress level of their e-government projects.

Les villes sont le lieu d’installation privilégié des instances étatiques, des décideurs économiques et des entités scientifiques. Aucun gouvernement ne peut donc engendrer davantage de croissance économique, sans élaborer judicieusement au préalable des plans précis concernant le système urbain. Cependant dans les pays en voie de développement les gouvernements ne regardent que les aspects strictement économiques des villes et ils en oublient leurs autres responsabilités sociales et politiques face à la croissance urbaine.Ce travail s’inscrit dans une approche interdisciplinaire combinant l’économie spatiale et la macroéconomie. L’économie spatiale est l’analyse des comportements des individus économiques dans l’espace. Dans cette thèse, nous mettons en évidence la liaison entre géographie et économie.Dans le travail présent, après avoir présenté le phénomène de l’urbanisation et le système urbain, nous avons examiné la loi de Zipf, loi de Gibrat et le coefficient spatial de Gini pour le cas de l’Iran et de la France. Ensuite nous avons estimé le modèle de la croissance urbaine pour les deux pays, selon les travaux de Henderson. / Cities are the host of people as well as government officials, decision-makers, economic and academic elite institutions. Therefore, it is not possible to having any plan without understanding of urban systems can be made. Regardless of the importance of this matter, governments of developing countries often neglect their responsibilities and duties with regards to the city. This work is a combination of Spatial Economic and macroeconomics. Spatial Economic has been defined as identifying and analyzing the performance of the people in a same geographic location.In this paper, first step is introducing the phenomenon of urbanization and urban systems and then, next aim is estimating the Zipf and Gibrat’s laws and Spatial GINI Coefficient for the case of Iran and France. The urban growth model for Iran and France is measured based on the Henderson theories.In this paper, after introducing the phenomenon of urbanization and urban systems, we estimated the Zipf's and Gibrat lows and Spatial GINI' Coefficient for the case of Iran and France. By using the Henderson theories we measured the urban growth model for Iran and France

Cette thèse s'inscrit dans l'étude des systèmes de particules en interaction et plus précisément dans celle des modèles de croissance aléatoire qui représentent une quantité qui grandit au cours du temps et s'étend sur un réseau. Ce type de processus apparaît naturellement lorsqu'on s'intéresse à l'évolution d'une population ou à la propagation d'une épidémie. L'un de ces modèles est celui du processus de contact introduit par T.E. Harris en 1974. Il compte parmi les plus simples à représenter une transition de phase ce qui a rendu son étude passionnante.Le processus de contact standard sur le réseau Zd est maintenant relativement bien connu sous toutes ses phases et on étudie maintenant des variantes naturelles de ce processus comme celle à laquelle nous nous intéressons ici : le processus de contact standard sur le graphe Booléen qui est un graphe aléatoire dans Rd. Notre travail a été motivé notamment par le résultat suivant de L. Ménard er A. Singh : sur ce réseau aléatoire, le processus de contact admet ube transition de phase non-triviale. C'est le premier exemple de graphe à degré non-borné sur lequel la transition de phase du processus de contact n'est pas triviale. Nous commençons notre travail par une étude du modèle Booléen surcritique pour dégager des propriétés de régularité à grande échelle. Ces propriétés nous permettent ensuite d'adapter les démarches usuelles de l'étude du processus de contact sur les réseaux déterministes au cadre aléatoire Booléen. Dans notre résultat principal, nous montrons un théorème de forme asymptotique déterministe pour notre modèle. En fait, il apparaît que les propriétés de régularité à grandes échelles mentionnées ci-dessus sont suffisantes pour montrer un théorème de forme asymptotique sur d'autres graphes aléatoires / This thesis is a contribution to the mathematical study of interacting particle systems, and more precisely of random growth models representing a spreading shape over time in a lattice. These processes occur when one is interested in the evolution of a population or the spread of an epidemic. One of those models is the contact process introduced by Harris in 1974 with the goal of representing this specific spread. It is one of the simplest interacting particle systems that exhibits a critical phenomenon and today, in the cubic lattice, its behavior is well-known on each phase. Here, we study the standard contact process the Boolean graph which is a random graph in Rd. Our work in particular was motivated by the following result of L. M´enard and A. Singh: on this random network, the contact process admits a non-trivial phase transition. This is the first example of a non-bounded degree graph on which the phase transition of the contact process is non-trivial. We begin our work with a study of the supercritical Boolean model to find large scale regularity properties that allow us to adapt the usual approaches of the study of the contact process on the deterministic networks to the Boolean random framework. In our main result, we show that our model satisfies a deterministic asymptotic shape theorem. In fact, it appears that the large scale regularity properties mentioned above are sufficient to obtain an asymptotic shape theorem on other random graphs

The purpose of this study was to model students’ perceptions of teachers (fair, warm, friendly, etc.) over time from 6th to 9th grade, to examine whether a relationship existed between students’ perceptions of teachers and distal outcomes of education attainment and education status in emerging adulthood, and to examine whether gender was associated with teacher perceptions, the trajectory of perceptions, or the outcomes. Attachment Theory and Self Determination Theory were used as frameworks for understanding relationships between study variables. The present study used existing data from a longitudinal, multi-wave, intervention study (Project Alliance 2 [PAL-2] DA018374) that addressed adolescents’ negative behaviors during middle school to high school. Data was examined from a sample of 415 participants from the larger randomized control trial of 593. Participants were students from three socioeconomically and ethnically diverse public middle schools in the Pacific Northwest. Data was analyzed using Mplus7.1 using full information maximum likelihood to account for missing data. The study had several key findings. First, latent class growth model (LCGM) analyses revealed a significant a linear model that showed an overall declining trajectory of students’ perceptions of teachers from 6th to 9th grade. There was a significant difference between students’ perceptions of teachers in 6th grade and education status. Students who reported more positive perceptions of teachers in 6th grade were more likely to endorse enrollment in a vocational or educational program. Second, LCGM analyses further revealed a model with an added quadratic term that showed an overall declining trajectory of student’s perceptions of teachers that decelerated beginning at 7th grade. Third, LCGM and growth mixture model analyses examined trajectories of students’ perceptions of teachers over time and revealed a two-class model. The first class was represented by a declining trajectory and a second class represented by overall lower students’ positive perceptions of teachers in 6th grade that increase each year through the 9th grade. Students’ perceptions of teachers appear to converge in 9th grade for both classes. Implications for practice and research, along with limitations and directions for future research are discussed.