Generalization transitions in Hidden-Layer neural networks for third-order feature discrimination

Stochastic learning processes for a specific feature detector are studied. This technique is applied to nonsmooth multilayer neural networks requested to perform a discrimination task of order 3 based on the ssT-block¿ssC-block problem. Our system proves to be capable of achieving perfect generalization, after presenting finite numbers of examples, by undergoing a phase transition. The corresponding annealed theory, which involves the Ising model under external field, shows good agreement with Monte Carlo simulations.

New approximation to the third-order density : application to the calculation of correlated multicenter indices

In this work we present the formulas for the calculation of exact three-center electron sharing indices (3c-ESI) and introduce two new approximate expressions for correlated wave functions. The 3c-ESI uses the third-order density, the diagonal of the third-order reduced density matrix, but the approximations suggested in this work only involve natural orbitals and occupancies. In addition, the first calculations of 3c-ESI using Valdemoro's, Nakatsuji's and Mazziotti's approximation for the third-order reduced density matrix are also presented for comparison. Our results on a test set of molecules, including 32 3c-ESI values, prove that the new approximation based on the cubic root of natural occupancies performs the best, yielding absolute errors below 0.07 and an average absolute error of 0.015. Furthemore, this approximation seems to be rather insensitive to the amount of electron correlation present in the system. This newly developed methodology provides a computational inexpensive method to calculate 3c-ESI from correlated wave functions and opens new avenues to approximate high-order reduced density matrices in other contexts, such as the contracted Schrödinger equation and the anti-Hermitian contracted Schrödinger equation

Performance characteristics of high performance liquid chromatography, first order derivative UV spectrophotometry and bioassay for fluconazole determination in capsules

The bioassay, first order derivative UV spectrophotometry and chromatographic methods for assaying fluconazole capsules were compared. They have shown great advantages over the earlier published methods. Using the first order derivative, the UV spectrophotometry method does not suffer interference of excipients. Validation parameters such as linearity, precision, accuracy, limit of detection and limit of quantitation were determined. All methods were linear and reliable within acceptable limits for antibiotic pharmaceutical preparations being accurate, precise and reproducible. The application of each method as a routine analysis should be investigated considering cost, simplicity, equipment, solvents, speed, and application to large or small workloads.

UV determination of epinephrine, uric acid, and acetaminophen in pharmaceutical formulations and some human body fluids using multivariate calibration

In this work, a spectrophotometric methodology was applied in order to determine epinephrine (EP), uric acid (UA), and acetaminophen (AC) in pharmaceutical formulations and spiked human serum, plasma, and urine by using a multivariate approach. Multivariate calibration methods such as partial least squares (PLS) methods and its derivates were used to obtain a model for simultaneous determination of EP, UA and AC with good figures of merit and mixture design was in the range of 1.8 - 35.3, 1.7 - 16.8, and 1.5 - 12.1 µg mL-1. The 2nd derivate PLS showed recoveries of 95.3 - 103.3, 93.3 - 104.0, and 94.0 - 105.5 µg mL-1 for EP, UA, and AC, respectively.

The relationship between first-order capabilities and online innovations. A comparative case study on the publishing sector.

The objective of this thesis was to study the relationship between firstorder capabilities and online innovations. First-order capabilities can be divided into market and technology capabilities, and they play an important role in the production of innovations. The study was carried out in publishing industry, where many changes have taken place in the online environment during the last few years. In the empirical research, four companies were studied, two magazine publishers and two newspaper publishers. The analysis was done in two phases; first every case was analyzed alone and then the cases were compared in cross-case analysis. The most important finding was the positive impact of market capability to the production of online innovations. The study also increased understanding about the relationship between market and technology capabilities and online innovations in general.

Customer Driven Order-to-Delivery Process

This thesis was made for a large forest industry company’s business segment. The purpose of the study was to improve the performance of the order-to-delivery process of the business segment. The study proceeded in three phases. The first phase was to define customer expectations in the market. The second phase was to analyse the performance and the operations of the order-to-delivery process, and to define any challenges or problems in serving the customers. The third and final phase was improving the performance of the order-to-delivery process, within the scope defined by the first two phases. The analysis showed that the delivery reliability is an essential but a challenging issue in the case company’s markets. On delivery reliability standpoint, the most challenging factors were the detected information flow distortions within the company as well as in the whole supply chain, and the lack of horizontal control over the multi-stage process.

The figure of the earth, determined from observations made by order of the French King, at the polar circle: by Messrs de Maupertuis, Camus, Clairaut, Le Monnier, members of the Royal Academy of Sciences, the abbé Outhier, correspondent of the Academy, and Mr. Celsius, professor of astronomy at Upsal : translated from the French of M. de Maupertuis.

Digital reproduction, The National Library of Finland, Centre for Preservation and Digitisation, Mikkeli

Project Master Document adaption in order fulfillment process

This thesis discusses adaption of new project management tool at ABB Oy Motors and Generators business unit, Synchronous Machines profit centre. Thesis studies project modeling in general and buries in the Gate Model used at ABB Synchronous Machines. It is essential to understand Gate Model because this new project management tool, called Project Master Document, is created on the base of the existing project model. Thesis also analyzes goals and structure of Project Master Document in order to ease implementation of this new tool. Project Master Document aims to improved customer order fulfillment by clearing order handover interface. Office process, especially responsibilities and target dates, become also clearer after Master Document implementation. The document is built to be frame for whole order fulfillment process including check points for each gate of project model and updated memos from all project meetings. Furthermore, project progress will be clearly stated by status markings and visualized with colors.

Improved order fulfillment in paper production

For the paper mill profitability it is crucial to minimize overproduction and underproduction. Overproduction and underproduction both generate undesired costs and profit losses in paper mill production. This master’s thesis examines paper production order fulfillment subject from paper production level point of view. Research and development approach is selected due to clarification requirements in lately implemented manufacturing execution system. Manufacturing execution systems are generally expected to offer reliable and accurate information about mill production details. However, confusions are likely to occur after implementation of new manufacturing execution system. These confusions are usually harmful and become cumulatively more influential the longer they keep occurring. In this master’s thesis is presented actions to improve order fulfillment at paper mill production level. Central points of the improvement actions are a model for successful order fulfillment in paper mill production and manufacturing execution system catalogue configuration redesign. Improvement actions are implemented in Jokilaakso paper production plant and it is examined as a case study. In the end of this master’s thesis is presented performance measurements which demonstrate order fulfillment from case Jokilaakso.