Final Report for the Iowa Livestock Industry Waste Characterization and Methane Recovery Information Dissemination Project, 2003

The Iowa livestock industry generates large quantities of manure and other organic residues; composed of feces, urine, bedding material, waste feed, dilution water, and mortalities. Often viewed as a waste material, little has been done to characterize and determine the usefulness of this resource. The Iowa Department of Natural Resources initiated the process to assess in detail the manure resource and the potential utilization of this resource through anaerobic digestion coupled with energy recovery. Many of the pieces required to assess the manure resource already exist, albeit in disparate forms and locations. This study began by interpreting and integrating existing Federal, State, ISU studies, and other sources of livestock numbers, housing, and management information. With these data, models were analyzed to determine energy production and economic feasibility of energy recovery using anaerobic digestion facilities on livestock faxms. Having these data individual facilities and clusters that appear economically feasible can be identified specifically through the use of a GIs system for further investigation. Also livestock facilities and clusters of facilities with high methane recovery potential can be the focus of targeted educational programs through Cooperative Extension network and other outreach networks, providing a more intensive counterpoint to broadly based educational efforts.

A tractable consideration set structure for network revenue management

Models incorporating more realistic models of customer behavior, as customers choosing from an offerset, have recently become popular in assortment optimization and revenue management. The dynamicprogram for these models is intractable and approximated by a deterministic linear program called theCDLP which has an exponential number of columns. When there are products that are being consideredfor purchase by more than one customer segment, CDLP is difficult to solve since column generationis known to be NP-hard. However, recent research indicates that a formulation based on segments withcuts imposing consistency (SDCP+) is tractable and approximates the CDLP value very closely. In thispaper we investigate the structure of the consideration sets that make the two formulations exactly equal.We show that if the segment consideration sets follow a tree structure, CDLP = SDCP+. We give acounterexample to show that cycles can induce a gap between the CDLP and the SDCP+ relaxation.We derive two classes of valid inequalities called flow and synchronization inequalities to further improve(SDCP+), based on cycles in the consideration set structure. We give a numeric study showing theperformance of these cycle-based cuts.

Informal care and labour force participation among middle-aged women in Spain

Informal care is today the form of support most commonly used by those who need other peoplein order to carry out certain activities that are considered basic (eating, dressing, taking a shower,etc.), in Spain and in most other countries in the region. The possible labour opportunity costsincurred by these informal carers, the vast majority of whom are middle-aged women, have not asyet been properly quantified in Spain. It is, however, crucially important to know these quantities ata time when public authorities appear to be determined to extend the coverage offered up to nowas regards long-term care.In this context, we use the Spanish subsample of the European Community Household Panel (1994-2001) to estimate a dynamic ordered probit and so attempt to examine the effects of various typesof informal care on labour behaviour. The results obtained indicate the existence of labouropportunity costs for those women who live with the dependent person they care for, but not forthose who care for someone outside the household. Furthermore, whereas caregiving for morethan a year has negative effects on labour force participation, the same cannot be said of those who start caregiving and stop caregiving .

Quantitative antibiogram as a typing method for the prospective epidemiological surveillance and control of MRSA: comparison with molecular typing.

OBJECTIVE: Evaluation of the quantitative antibiogram as an epidemiological tool for the prospective typing of methicillin-resistant Staphylococcus aureus (MRSA), and comparison with ribotyping. METHODS: The method is based on the multivariate analysis of inhibition zone diameters of antibiotics in disk diffusion tests. Five antibiotics were used (erythromycin, clindamycin, cotrimoxazole, gentamicin, and ciprofloxacin). Ribotyping was performed using seven restriction enzymes (EcoRV, HindIII, KpnI, PstI, EcoRI, SfuI, and BamHI). SETTING: 1,000-bed tertiary university medical center. RESULTS: During a 1-year period, 31 patients were found to be infected or colonized with MRSA. Cluster analysis of antibiogram data showed nine distinct antibiotypes. Four antibiotypes were isolated from multiple patients (2, 4, 7, and 13, respectively). Five additional antibiotypes were isolated from the remaining five patients. When analyzed with respect to the epidemiological data, the method was found to be equivalent to ribotyping. Among 206 staff members who were screened, six were carriers of MRSA. Both typing methods identified concordant of MRSA types in staff members and in the patients under their care. CONCLUSIONS: The quantitative antibiogram was found to be equivalent to ribotyping as an epidemiological tool for typing of MRSA in our setting. Thus, this simple, rapid, and readily available method appears to be suitable for the prospective surveillance and control of MRSA for hospitals that do not have molecular typing facilities and in which MRSA isolates are not uniformly resistant or susceptible to the antibiotics tested.

The ViRVIG Institute

In this paper we present the ViRVIG Institute, a recently created institution that joins two well-known research groups: MOVING in Barcelona, and GGG in Girona. Our main research topics are Virtual Reality devices and interaction techniques, complex data models, realistic materials and lighting, geometry processing, and medical image visualization. We briefly introduce the history of both research groups and present some representative projects. Finally, we sketch our lines for future research

The Determinants of Exit in Argentina: Core and Peripheral Regions

This paper analyses the regional determinants of exit in Argentina. We find evidence of a dynamic revolving door by which past entrants increase current exits, particularly in the peripheral regions. In the central regions, current and past incumbents cause an analogous displacement effect. Also, exit shows a U-shaped relationship with respect to the informal economy, although the positive effect is weaker in the central regions. These findings point to the existence of a core-periphery structure in the spatial distribution of exits. Key words: firm exit, count data models, Argentina JEL: R12; R30; C33

Regional determinants of firm entry in a developing country

We analyse the determinants of firm entry in developing countries using Argentina as an illustrative case. Our main finding is that although most of the regional determinants used in previous studies analysing developed countries are also relevant here, there is a need for additional explanatory variables that proxy for the specificities of developing economies (e.g., poverty, informal economy and idle capacity).We also find evidence of a core-periphery pattern in the spatial structure of entry that seems to be mostly driven by differences in agglomeration economies. Since regional policies aiming to attract new firms are largely based on evidence from developed countries, our results raise doubts about the usefulness of such policies when applied to developing economies. JEL classification: R12, R30, C33. Key words: Firm entry, Argentina, count data models.

Oliorelaatiotietokannan käyttö energianhallintajärjestelmässä

Empower Oy on energia-alan palveluja tarjoava yritys. Energianhallintajärjestelmää käytetään energiatietojen hallintaan ja ylläpitoon sekä tietojen esittämiseen loppukäyttäjille. Palvelun näytöt ja raportit on toteutettu web-pohjaisen käyttöliittymän kautta. Yhtiössä käynnistyi suurprojekti vanhan energianhallintajärjestelmän korvaamiseksi. Vanha järjestelmä otettiin käyttöön vuonna 1995 ja EMS-projekti käynnistettiin vuonna 2001. Diplomityö tehtiin osana EMS-projektia ja työn tavoitteina oli selvittää perusjärjestelmän käyttämän tietokantaratkaisun toimivuutta ja soveltuvuutta tehtävään sekä tutkailla eri tietokantamalleja teoreettisesti. Lisäksi työhön kuului erillisten haku- ja muutoskomponenttien ja rajapintojen toteuttaminen. Näiden avulla voidaan hakea ja muuttaa tietoa perusjärjestelmän pohjalla toimivasta oliorelaatiotietokannasta. Perusjärjestelmän DOR-tietokannaksi (Domain Object Repository) kutsuttu kokonaisuus on olioläheinen tietovarasto, josta tietoa haetaan ilmoittamalla haettavan olion tyyppi ja siihen liitoksissa olevat tyypit. Hakutulokseen mukaan haluttavat ominaisuudet ilmoitetaan kultakin tyypiltä erikseen. Haettaessa ja muutettaessa oliopohjaista DOR-tietoa, tulee noudattaa järjestelmän käyttämiä tietomalleja. Haku- ja muutoskomponentit toteutettiin Microsoftin kehittämällä .NET-teknologialla. Tietokantamallien teoreettinen tarkastelu auttoi ymmärtämään järjestelmän pohjalla toimivaa tietokantaratkaisua. Työssä selvisi, että perusjärjestelmän hyödyntämä oliorelaatiotietokanta soveltuu varsin hyvin tarkoitukseensa. Haku- ja muutoskomponenttien toteutus onnistui ja ne toimivat helppokäyttöisenä rajapintana energianhallintajärjestelmän tietokantaan.

Geometric stopping of a random walk and its applications to valuing equity-linked death benefits

We study discrete-time models in which death benefits can depend on a stock price index, the logarithm of which is modeled as a random walk. Examples of such benefit payments include put and call options, barrier options, and lookback options. Because the distribution of the curtate-future-lifetime can be approximated by a linear combination of geometric distributions, it suffices to consider curtate-future-lifetimes with a geometric distribution. In binomial and trinomial tree models, closed-form expressions for the expectations of the discounted benefit payment are obtained for a series of options. They are based on results concerning geometric stopping of a random walk, in particular also on a version of the Wiener-Hopf factorization.

Accelerated Microstructure Imaging via Convex Optimisation for regions with multiple fibres (AMICOx)

This paper reviews and extends our previous work to enable fast axonal diameter mapping from diffusion MRI data in the presence of multiple fibre populations within a voxel. Most of the existing mi-crostructure imaging techniques use non-linear algorithms to fit their data models and consequently, they are computationally expensive and usually slow. Moreover, most of them assume a single axon orientation while numerous regions of the brain actually present more complex configurations, e.g. fiber crossing. We present a flexible framework, based on convex optimisation, that enables fast and accurate reconstructions of the microstructure organisation, not limited to areas where the white matter is coherently oriented. We show through numerical simulations the ability of our method to correctly estimate the microstructure features (mean axon diameter and intra-cellular volume fraction) in crossing regions.

Does social capital reinforce technological inputs in the creation of knowledge? Evidence from the Spanish regions

In this paper we seek to verify the hypothesis that trust and cooperation between individuals, and between them and public institutions, can encourage technological innovation and the adoption of knowledge. Additionally, we test the extent to which the interaction of social capital with human capital and R&D expenditures improve their effect on a region’s ability to innovate. Our empirical evidence is taken from the Spanish regions and employs a knowledge production function and longitudinal count data models. Our results suggest that social capital correlates positively with innovation. Further, our analysis reveals a powerful interaction between human and social capital in the production of knowledge, whilst the complementarity with R&D efforts would seem less clear.

Imatran tehtaiden jätevesipäästöjen hallinta- ja analysointityökalun kehittäminen

Työn tavoitteena oli kehittää Stora Enso Oyj:n Imatran tehtaille Wedge-pohjainen analysointityökalu, jolla voidaan hallita prosessi- ja päästötietojen yhteys nykyistä paremmin. Wedgeen määriteltiin päästömittauksia, olennaisia prosessimittauksia ja tarpeelliset laskennat kuormituksen ennustamiseksi lähtien tuotantoprosessien tilasta. Työssä tehtiin kemialliselle ja biologiselle jätevedenpuhdistamolle meneville jätevesille laskennallisia malleja, joita verrattiin mitattuihin arvoihin. Kemialliselle jätevedenpuhdistamolle meneville jätevesille tehtiin malli jäteveden virtaamalle. Biologiselle jätevedenpuhdistamolle meneville jätevesille tehtiin mallit jäteveden virtaamalle sekä COD-, AOX- ja alkuainekuormituksille. Alkuaineista työhön otettiin mukaan natrium, rikki ja kloori. Teoriaosassa on käsitelty sellu- ja paperitehtaiden vedenkäyttöä, tehtaan eri osastojen jätevesikuormitusta, jäteveden puhdistusmenetelmiä sekä prosessidatan käsittelymenetelmiä. Kokeellisessa osassa on esitelty mitattujen ja laskennallisten mallien yhteyttä. Suurin osa laskennallisista malleista näyttää seuraavan kohtuullisen hyvin mitattuja arvoja. Kokeellisessa osassa on myös havainnollistettu esimerkkien avulla mallien hyödyntämistä. Työn hyötynä on normaalien kuormitusvaihteluiden ja häiriöpäästöjen entistä tarkempi ja nopeampi erottelu. Pitkällä tähtäimellä Wedge-ohjelman avulla pystytään keskittämään jätevesikuormituksen vähentämistoimenpiteet olennaisimpiin kohteisiin.

Creative Industries: a Preliminary Insight to their Location Determinants

This paper is about location decisions of Creative Industries and the role played by existent spatial distribution and agglomeration economies of these kinds of activities in order to analyse their location determinants. Our main statistical source is the REIC (Catalan Manufacturing Establishments Register), which has plant-level microdata on location of new plants. Using Count Data Models, our main results show that location determinants are quite similar between both industries and also both non-creative and creative firms are positively influenced by the specialisation level in Creative Industries of municipalities. Moreover, our results provide evidence that the unobserved ‘creative milieu’ has a limited impact on attracting firms. Keywords: creative industries, creative milieu, count data models, industrial location, agglomeration economies

Least squares regression with errors in both variables: case studies

Analytical curves are normally obtained from discrete data by least squares regression. The least squares regression of data involving significant error in both x and y values should not be implemented by ordinary least squares (OLS). In this work, the use of orthogonal distance regression (ODR) is discussed as an alternative approach in order to take into account the error in the x variable. Four examples are presented to illustrate deviation between the results from both regression methods. The examples studied show that, in some situations, ODR coefficients must substitute for those of OLS, and, in other situations, the difference is not significant.

Modeling and developing a customer-oriented configuration process in a mass customization environment

In this thesis the main objective is to examine and model configuration system and related processes. When and where configuration information is created in product development process and how it is utilized in order-delivery process? These two processes are the essential part of the whole configuration system from the information point of view. Empirical part of the work was done as a constructive research inside a company that follows a mass customization approach. Data models and documentation are created for different development stages of the configuration system. A base data model already existed for new structures and relations between these structures. This model was used as the basis for the later data modeling work. Data models include different data structures, their key objects and attributes, and relations between. Representation of configuration rules for the to-be configuration system was defined as one of the key focus point. Further, it is examined how the customer needs and requirements information can be integrated into the product development process. Requirements hierarchy and classification system is presented. It is shown how individual requirement specifications can be connected for physical design structure via features by developing the existing base data model further.