Problems of prediction

The increasingly important role played by family firms in China’s fledging capital market calls for a better understanding of how it works and is governed. This study aims to explore how corporate governance issues in family firms are tackled from the perspective of investor protection. The thesis addresses the question by first presenting theoretical models showing the relations among investor protection, family governance, and agency costs in family firms.

229p runthenight04 02-02-2023 8 3   Download

The thesis is devoted to constructing and evaluating versions of the SM extended with an A4 symmetry to explain some of the problems of neutrino physics. Within these extended models, the results on neutrino masses and mixing, derived by the perturbation method, are very closed to the global fit. In two models, a relation between the Dirac CPV phase and the mixing angles is established. In particular, the models predict Dirac CPV phase δCP and effective mass of neutrinoless double beta decay jhmeeij in good agreement with the current experimental data.

26p capheviahe27 23-02-2021 17 3   Download

Despite the prediction of the Higgs boson at Large Hadron Collider (LHC) in the CERN in 2012 after it has been theorized for over 50 years, however, the Standard model (SM) still can not explain the mass of neutrinos; the hierarchy problem; the contribution of dark energy, dark matter and CP violation in cosmology.

7p tamynhan9 02-12-2020 9 1   Download

In this paper, in order to increase the accuracy of the prediction model in imbalanced data classification problem, we propose a new cluster-based sampling method to address this work. Performing tests on a number of datasets, we have achieved important results when compared to cases without using any data balancing strategies and previous method.

9p koxih_kothogmih5 04-09-2020 22 3   Download

In this work, we have analyzed this problem for the example of N,N-dialkylamides in the presence of uranyl nitrate experimentally. Furthermore, we present a minimal model at nanoscale that allows rationalizing the experimental phenomena by connecting the molecular, mesoscopic and macroscopic scale and that allows predicting qualitative trends in viscosity.

18p christabelhuynh 29-05-2020 10 2   Download

The acquisition of high-frequency data in real times has developed new fields like neuro-fuzzy systems for forcasting problems, renewing also the interest in the forcasting of financial and stock market indexes. In this paper, we present an experiment result based on Adaptive Neuro-Fuzzy Inference System with a new computing procedure for stock price prediction.

10p nguynthithuylinh 02-06-2017 48 1   Download

Presentations Chapter 6: Some fundamental problems in the study of transfer present about problems of definition, problems of comparison, problems of prediction, problems of generalization. Invite you to consult the document details.

51p mailan1977 29-12-2016 68 8   Download

The aim of the dissertation is study and propose a new algorithm for solving the optimal problem in nonlinear model predictive control MIMO system.

28p change01 05-05-2016 33 3   Download

In this paper we address the problem of extracting features relevant for predicting protein±protein interaction sites from the three-dimensional structures of protein complexes. Our approach is based on information about evolutionary con-servation and surface disposition. We implement a neural network based system, which uses a cross validation proce-dure and allows the correct detection of 73% of the residues involved in protein interactions in a selected database comprising 226 heterodimers.

6p research12 29-04-2013 29 2   Download

Why do proteins adopt the conformations that they do, and what determines their stabilities? While we have come to some understandingof the forces that underlie protein architecture, a precise, predictive, physicochemical explanation is still elusive. Two obstacles to addressing these questions are the unfathomable vastness of protein sequence space, and the difficulty in makingdirect phy-sical measurements on large numbers of protein variants. Here, we review combinatorial methods that have been applied to problems in protein biophysics over the last 15 years.

14p dell39 03-04-2013 56 2   Download

This thesis addresses two neural network based control systems. The first is a neural network based predictive controller. System identification and controller design are discussed. The second is a direct neural network controller. Parameter choice and training methods are discussed. Both controllers are tested on two different plants. Problems regarding implementations are discussed. First the neural network based predictive controller is introduced as an extension to the generalised predictive controller (GPC) to allow control of non-linear plant.

163p o0_mrduong_0o 30-03-2013 95 21   Download

RNA–protein interactions are fundamental to gene expression. Thus, the molecular basis for the sequence dependence of protein–RNA recognition has been extensively studied experimentally. However, there have been very few computational studies of this problem, and no sustained attempt has been made towards using computational methods to predict or alter the sequence-specificity of these proteins.

14p media19 05-03-2013 35 2   Download

Poly(ethylene glycol) (PEG) is a widely used polymer employed to increase the circulating half-life of proteins in blood and to decrease their immuno-genicity and antigenicity. PEG attaches to free amines, typically at lysine residues or at the N-terminal amino acid. This lack of selectivity can pres-ent problems when a PEGylated protein therapeutic is being developed, because predictability of activity and manufacturing reproducibility are needed for regulatory approval.

0p viettel02 20-02-2013 31 1   Download

Distinguishing Cardiovascular from Respiratory System Dyspnea If a patient has evidence of both pulmonary and cardiac disease, a cardiopulmonary exercise test should be carried out to determine which system is responsible for the exercise limitation. If, at peak exercise, the patient achieves predicted maximal ventilation, demonstrates an increase in dead space or hypoxemia (oxygen saturation below 90%), or develops bronchospasm, the respiratory system is probably the cause of the problem.

7p ongxaemnumber1 29-11-2010 70 4   Download

Statistical Prediction Models Bayes' theorem, as presented above, deals with a clinical prediction problem that is unrealistically simple relative to most problems a clinician faces. Prediction models, based on multivariable statistical models, can handle much more complex problems and substantially enhance predictive accuracy for specific situations. Their particular advantage is the ability to take into account many overlapping pieces of information and assign a relative weight to each based on its unique contribution to the prediction in question.

5p tubreakdance 26-11-2010 89 6   Download

An Introduction to IP Networks The Internet is believed by many to have initiated a revolution that will be as far reaching as the industrial revolution of the 18th and 19th centuries. However, as the collapse of many ‘dot.com’ companies has proven, it is not easy to predict what impact the Internet will have on the future. In part, these problems can be seen to be those normally associated with such a major revolution.

49p doroxon 12-08-2010 144 31   Download

In a classification problem, you typically have historical data (labeled examples) and unlabeled examples. Each labeled example consists of multiple predictor attributes and one target attribute (dependent variable). The value of the target attribute is a class label. The unlabeled examples consist of the predictor attributes only. The goal of classification is to construct a model using the historical data that accurately predicts the label (class) of the unlabeled examples.

118p thuxuan 03-08-2009 73 8   Download

This paper examines episodes of banking sector distress for a large sample of countries, highlighting the experience of Japan. We estimate a model that links the onset of banking problems to a set of macroeconomic variables and institutional characteristics. The model predicts a high probability of banking sector distress in Japan in the early 1990s, matching actual developments closely, and suggests that the Japanese episode fits a well-established pattern characterizing banking sector problems elsewhere.

29p duypha 15-07-2009 168 21   Download

Probability theory began in seventeenth century France when the two great French mathematicians, Blaise Pascal and Pierre de Fermat, corresponded over two problems from games of chance. Problems like those Pascal and Fermat solved continued to influence such early researchers as Huygens, Bernoulli, and DeMoivre in establishing a mathematical theory of probability.

0p ledung 13-03-2009 286 33   Download