Cell wall polysaccharides of common beans (Phaseolus vulgaris L.)

The soluble and insoluble cotyledon (SPF-Co and IPF-Co) and tegument (SPF-Te and IPF-Te) cell wall polymer fractions of common beans (Phaseolus vulgaris) were isolated using a chemical-enzymatic method. The sugar composition showed that SPF-Co was constituted of 38.6% arabinose, 23.4% uronic acids, 12.7% galactose, 11.2% xylose, 6.4% mannose and 6.1% glucose, probably derived from slightly branched and weakly bound polymers. The IPF-Co was fractionated with chelating agent (CDTA) and with increasing concentrations of NaOH. The bulk of the cell wall polymers (29.4%) were extracted with 4.0M NaOH and this fraction contained mainly arabinose (55.0%), uronic acid (18.9%), glucose (10.7%), xylose (10.3%) and galactose (3.4%). About 8.7% and 10.6% of the polymers were solubilised with CDTA and 0.01M NaOH respectively and were constituted of arabinose (52.0 and 45.9%), uronic acids (25.8 and 29.8%), xylose (9.6 and 10.2%), galactose (6.1 and 3.9%) and glucose (6.5 and 3.8%). The cell wall polymers were also constituted of small amounts (5.6 and 7.2%) of cellulose (CEL) and of non-extractable cell wall polymers (NECW). About 16.8% and 17.2% of the polymers were solubilised with 0.5 and 1.0M NaOH and contained, respectively, 92.1 and 90.7% of glucose derived from starch (IST). The neutral sugar and polymers solubilization profiles showed that weakly bound pectins are present mainly in SPF-Co (water-soluble), CDTA and 0.01-0.1M NaOH soluble fractions. Less soluble, highly cross-linked pectins were solubilised with 4.0M NaOH. This pectin is arabinose-rich, probably highly branched and has a higher molecular weight than the pectin present in SPF-Co, CDTA and 0.01-0.1M NaOH fractions.

Scalable Feature Selection Applications for Genome-Wide Association Studies of Complex Diseases

Personalized medicine will revolutionize our capabilities to combat disease. Working toward this goal, a fundamental task is the deciphering of geneticvariants that are predictive of complex diseases. Modern studies, in the formof genome-wide association studies (GWAS) have afforded researchers with the opportunity to reveal new genotype-phenotype relationships through the extensive scanning of genetic variants. These studies typically contain over half a million genetic features for thousands of individuals. Examining this with methods other than univariate statistics is a challenging task requiring advanced algorithms that are scalable to the genome-wide level. In the future, next-generation sequencing studies (NGS) will contain an even larger number of common and rare variants. Machine learning-based feature selection algorithms have been shown to have the ability to effectively create predictive models for various genotype-phenotype relationships. This work explores the problem of selecting genetic variant subsets that are the most predictive of complex disease phenotypes through various feature selection methodologies, including filter, wrapper and embedded algorithms. The examined machine learning algorithms were demonstrated to not only be effective at predicting the disease phenotypes, but also doing so efficiently through the use of computational shortcuts. While much of the work was able to be run on high-end desktops, some work was further extended so that it could be implemented on parallel computers helping to assure that they will also scale to the NGS data sets. Further, these studies analyzed the relationships between various feature selection methods and demonstrated the need for careful testing when selecting an algorithm. It was shown that there is no universally optimal algorithm for variant selection in GWAS, but rather methodologies need to be selected based on the desired outcome, such as the number of features to be included in the prediction model. It was also demonstrated that without proper model validation, for example using nested cross-validation, the models can result in overly-optimistic prediction accuracies and decreased generalization ability. It is through the implementation and application of machine learning methods that one can extract predictive genotype–phenotype relationships and biological insights from genetic data sets.

Aamiaiskahvilasta ötökkätarjontaan. Suomen kirjoitetun yleiskielen morfosyntaktisten yhdyssanarakenteiden produktiivisuus

Tämän tutkimuksen kohde on suomen kirjoitetun yleiskielen morfosyntaktisten yhdyssanarakenteiden produktiivisuus. Tutkimuksen tärkein päämäärä on selvittää, kuinka ahkerasti erilaisia suomen kielen suomia mahdollisuuksia käytetään uusien yhdyssanojen muodostuksessa. Käytännöllistä produktiivisuutta kartoittava tutkimus täydentää kielioppien ja sanastonkuvausten antamaa kuvaa kielestä. Tutkimuksen kohteena oleva kielimuoto on kaikille kielenkäyttäjille yhteinen kirjoitettu yleiskieli. Tutkimusaineisto koostuu 28 091 uudesta yhdyssanasta, jotka on kerätty painetun median kielestä vuosina 2000–2009. Aineiston pohjana on Kotimaisten kielten keskuksen Nykysuomen sanastotietokanta, johon poimitaan uusia ja uudella tavalla käytettyjä sanoja ensisijaisesti sanakirjatyön ja kielenhuollon tarpeisiin. Tutkimusaihetta lähestytään useiden yhdyssanan osien muotoa, sanaluokkaa, määrää ja pituutta koskevien alakysymysten kautta. Tutkimus etenee yksittäisten muut-tujien käsittelystä muuttujien keskinäisiä suhteita tarkasteleviin malleihin. Tutkimuksessa käytetään kaksivaiheista metodia: Metodin ensimmäinen askel on uudessa sanastossa havaittujen rakenteiden tyyppifrekvenssin tilastollinen analyysi. Toinen askel on varsinkin matalafrekvenssisten tai tilastollisessa analyysissa muuten poikkeavaksi osoittautuneiden rakenteiden kvalitatiivinen tarkastelu. Metodi on kehitetty tätä tutkimusta varten, sillä aiemmin produktiivisuuden mittaamisessa käytetyt menetelmät eivät sellaisenaan sovi suomen kielen yhdyssanarakenteiden tutkimukseen. Tutkimusmetodien kehittäminen on tutkimuksen keskeinen tavoite. Tutkimus osoittaa, että suomen kielen uudet yhdyssanat ovat rakenteeltaan homogeenisempiä, kuin aiempia kielenkuvauksia lukemalla voisi olettaa. Uusi suomen kielen yhdyssana on todennäköisimmin kahdesta substantiivista yhdistämällä muodostettu substantiivi, jonka alkuosa on nominatiivissa eikä kongruoi jälkiosan kanssa. Ennakko-oletusta huomattavasti yleisempiä ovat myös prefiksinkaltaisella alkuosalla alkavat yhdyssanat. Genetiivialkuiset yhdyssanat puolestaan ovat ennakko-oletusta harvinaisempia. Kaikki kieliopillisesti mahdolliset yhdyssanarakenteet eivät ole lainkaan produktiivisia kielenkäytön tasolla. Tutkimus on luonteeltaan kielen rakennetta kartoittavaa perustutkimusta. Tutkimustulosten tärkeimmät sovellusalat ovat kieliteknologia ja sananmuodostuksen opetus. Tutkimus avaa useita näkökulmia jatkotutkimukselle.

Challenges of user-driven innovations on late stages of innovation process: evidence from ICT companies

The goal of this thesis is to study user-driven innovations and user involvement throughout the innovation process in context of B2B companies. Significant emphasis in the analysis put onto the late stages of innovation process and commercialization of innovations. Thesis includes detailed review of theoretical concepts and underlying frameworks of innovation process, lead users and user-driven innovations. The empirical part of the thesis consist of interviews of the four companies from ICT industry, followed by the comprehensive analysis and comparison of the results. The presented findings indicate common challenges, which ICT companies face, when shifting towards innovation by users paradigm. Linkages and connections among current situation and theoretical frameworks presented in the discussion part of the thesis allow to draw practical managerial implications. The results of the research emphasize valuable insights and challenges of user interactions within innovation process as well as output and participation related benefits for the companies and users. The research points out current state of the user involvement techniques and tools used for user interactions as well as suggests the possibilities for improvement in the future.

Inclusion or Exclusion? Trade union strategies and Labor migration

Inclusion or Exclusion? Trade Union Strategies and Labor Migration This research identified and analyzed immigration-related strategies of the Finnish Construction Trade Union (FCTU) and the Service Union United (SUU); e.g. how the unions react to labor immigration, whether unions seek to include migrants in the unions, and what is migrants’ position in the unions. The two unions were chosen as the focus of the research because the workforce in the sectors they represent is migrant-dense. The study also analyzed the experiences that migrants who work in these sectors have with trade unions. The Estonian labor market situation –including the role of Estonian trade unions– was also examined as it has a considerable impact on the operating environment of the FCTU. The results of the study indicate that immigration is a contradictory issue for both unions. On the one hand, they strive to include migrants as trade union members and to defend migrants’ labor rights. On the other hand, they, together with their umbrella organization the Central Organisation of Finnish Trade Unions (SAK), seek to prevent labor immigration from outside the EU and EEA countries. They actively defend current labor immigration restrictions by drawing atten- tion to high unemployment figures and to the breaches of working conditions migrants encounter. In contrast, the employer organizations promote a more liberal state policy on labor immigration because they see it as a boost for business. Both the unions and the employer organizations ground their arguments on national interest. However, the position of the trade union movement is not uniform: unions belonging to the Confederation of Unions for Professionals and Managerial Staff in Finland (Akava) embrace more liberal labor immigration stances than the SAK. A key trade union strategy is to try to guarantee that migrants’ working condi- tions do not differ from those of the natives. The FCTU and the SUU inform migrants about Finnish collective agreements and trade union membership in the most common migrant languages. This is important for the unions because it is not in their interest that migrants’ working conditions are undercut. The interviewed migrants said that natives had more negotiating power with employers, which is often negatively portrayed in migrants’ working conditions. Migrants perceive that trade unions have an important role in protecting their working conditions. However, they stressed that migrants’ knowledge of unions is often very limited. The number of migrants in both two unions studied here is increasing. Espe- cially in the SUU, a considerable proportion of the new members are migrants. The FCTU is in a more challenging situation than the SUU because migrant construc- tion workers often work only for short periods in Finland and are consequently not interested in becoming union members. The unions’ strategies partly differ: the FCTU was the first Finnish trade union to establish a trade union branch/lo- cal for migrant members. The goal is to facilitate migrants’ inclusion in the union and to highlight the specific problems they face. The SUU, for its part, insists that such a special strategy would exclude migrants within the union organization. Despite the unions’ strategies, migrants are still underrepresented as union members and officials, which some of the interviewed migrants saw as a problem. Immigrants’ perception of trade unions was pragmatic: they had joined unions when membership yielded concrete benefits. In spite of the unions’ strategies, migrants –and temporary migrants– encoun- ter specific problems in terms of working conditions. Both unions demand more state intervention to protect migrants’ labor rights because overseeing working conditions consumes union resources. However, without the unions’ intervention, these problems would be more common than is currently the case. For instance, some of the interviewed migrants had received trade union assistance in claim- ing unpaid wages. The study demonstrated with the help of building on Walter Korpi’s power resources theory, that immigration is a power resource issue for the unions: suc- cessful immigration-related strategies strengthen unions –and vice versa. The research also showed how the unions’ operating environments constrain and enable their immigration-related strategies. This study has illuminated a previously ignored dimension: the immigrant- inclusive strategies of the Finnish trade unions. The research material consists of 78 qualitative interviews, observation in trade union events, and trade unions’ and employer organizations’ public state- ments.

Cultivar, harvest year, and storage conditions affecting nutritional quality of common beans (Phaseolus vulgaris L.

Sixteen common bean cultivars were compared concerning the physicochemical characteristics of their raw seeds in the course of two consecutive harvests, as well as the effect of storage conditions on starch and dietary fiber content of cooked beans. Using cluster analysis it was possible to identify groups of cultivars with different nutritional features. Bean cultivars were categorized into four different groups according either to their macronutrient content (crude protein-PROT, total dietary fiber-TDF, insoluble dietary fiber-IDF, soluble dietary fiber-SDF, digestible starch-DS, and resistant starch-RS) or to their micronutrient levels (Fe, Zn, Mn, Cu, Ca, Mg, and P). Guateian 6662 and Rio Tibagi appeared to be the most suitable cultivars to prevent nutritional deficiencies, because they had high PROT, DS, Fe, and Zn content. The high total dietary fiber and RS content of Iraí, Minuano, and TPS Bonito cultivars, and specially the high soluble fiber content of Guateian 6662 and Rio Tibagi cultivars suggests that they could have a beneficial role in controlling blood lipid and glucose levels. Cooked beans had a decrease in DS and an increase in RS content after storage (4 °C or -20 °C), but these changes were more prominent in beans that had low RS content before cooking than in those of high RS content. TDF, IDF, and SDF did not change after storage.

Nutritional characteristics of biofortified common beans

Iron and zinc deficiency can cause anemia and alterations in the immune response and impair work capacity. To minimize this problem, biofortification has been developed to improve and/or maintain the nutritional status of the population. Beans are an important source of carbohydrates, proteins, and minerals. The objective of this study is to characterize biofortified beans, quantify the minerals in different cultivars, and determine mineral dialysis. Grains of raw and cooked beans were analyzed for moisture, protein, lipids, fiber, minerals, and in vitro availability using four treatments and one control. The data were analyzed using ANOVA, and the Tukey test (p<0.05). The chemical composition of the raw and cooked treatments showed a moisture content ranging from 13.4 to 81.4%, protein from 22.24 to 31.59%, lipids from 1.66 to 2.22%, fiber from 16.81 to 40.63%, carbohydrates from 27.80 to 34.78%, and ash from 4.1 to 4.82%. Different varieties of beans showed statistically significant differences in iron and zinc content compared to the control cultivar (Pérola). The iron content differed significantly from that of the Pérola cultivar in the raw treatment, while in the cooked treatment, the control cultivar did not differ from the Piratã. The same behavior was observed for the zinc content in both treatments. There was no significant difference between the cultivars in the treatments in terms of the content of the dialysis of Calcium (Ca), Iron (Fe), Magnesium (Mg), and Zinc (Zn).

Customer Need Assessment for Differentiation in Building Information Modeling

Building Information Modeling – BIM is widely spreading in the Architecture, Engineering, and Construction (AEC) industries. Manufacturers of building elements are also starting to provide more and more objects of their products. The ideal availability and distribution for these models is not yet stabilized. Usual goal of a manufacturer is to get their model into design as early as possible. Finding the ways to satisfy customer needs with a superior service would help to achieve this goal. This study aims to seek what case company’s customers want out of the model and what they think is the ideal way to obtain these models and what are the desired functionalities for this service. This master’s thesis uses a modified version of lead user method to gain understanding of what the needs are in a longer term. In this framework also benchmarking of current solutions and their common model functions is done. Empirical data is collected with survey and interviews. As a result this thesis provides understanding that what is the information customer uses when obtaining a model, what kind of model is expected to be achieved and how is should the process optimally function. Based on these results ideal service is pointed out.

Did ISI fail and is neoliberalism the answer for Latin America? Re-assessing common wisdom regarding economic policies in the region

The second phase of Import Substituting Industrialization, commonly known as ISI2, involved the move in Latin America to "heavy" industrialization, from around 1950-80. This period of economic history has been reviled on both the Left and the Right as being one of either heightened dependency or one demonstrating the clear failure of state intervention in the economy. In this research note, a basic statistical analysis is used to back up other descriptive claims that the ISI2 period was rather one of mixed success, with macroeconomic volatility accompanying great progress in GDP and manufacturing growth. In a sense, the ISI2 period succeeded in industrializing the large economies of the period, and contrasts favorably with the record of the succeeding paradigm of neoliberalism. This research note seeks to raise questions about the way we look at the historical period of ISI2, and suggests that a more open-minded perspective could lead to a more effective and sustainable political economy paradigm for the region in the future.

Käyttäjien manipulointi internetin yhteisöpalveluissa: Systemaattinen kirjallisuuskatsaus

Internetin yhteisöpalveluiden käyttäjien avoimuus ja sosiaalisuus altistavat heidät monenlaisille riskeille. “Social engineering” eli käyttäjien manipulointi on uhka, joka liittyy informaation hankkimiseen perinteisen kanssakäymisen kautta, mutta yhä enenevissä määrin myös internetissä. Kun kanssakäyminen tapahtuu internetin välityksellä, käyttäjien manipuloijat hyödyntävät yhteisöpalveluita yhteydenpitoon uhrien kanssa sekä paljon käyttäjäinformaatiota sisältävänä alustana. Tämän tutkielman tarkoitus on löytää internetin yhteisöpalveluiden ja käyttäjien manipuloinnin välinen yhteys. Tämä päämäärä saavutettiin etsimällä vastauksia kysymyksiin kuten: Mitkä ovat tyypilliset hyökkäystyypit? Miksi informaatiolla on niin suuri rooli? Mitä seurauksia ilmiöllä on ja miten hyökkäyksiltä on mahdollista suojautua? Vastaukset kysymyksiin löydettiin toteuttamalla systemaattinen kirjallisuuskatsaus. Katsaus muodostui yhdistämällä tärkeimmät löydökset 60 tarkoin valitusta ilmiötä käsittelevästä artikkelista. Käyttäjien manipuloinnin huomattiin olevan hyvin laaja ja monimutkainen ilmiö internetin yhteisöpalveluissa. Huomattiin, että manipulointia ilmenee sivustoilla useissa erilaisissa muodoissa, joita ovat muun muassa tietojen kalastelu, profiilien yhdistäminen, sosiaaliset sovellukset, roskaposti, haitalliset linkit, identiteettivarkaudet, tietovuodot ja erilaiset huijaukset, jotka hyödyntävät sekä ihmisluonnon että sivustojen perusominaisuuksia. Haavoittuvuus ja luottamus havaittiin myös tärkeiksi aspekteiksi, sillä ne yhdistävät informaation merkityksen ja ihmisluonnon, jotka molemmat ovat avaintekijöitä sekä manipuloinnissa että yhteisöpalvelusivustoilla. Vaikka ilmiön seurausten huomattiin olevan negatiivisia niin käyttäjien olemukselle internetissä kuin todellisessakin elämässä, havaittiin myös, että ilmiön ymmärtäminen ja tunnistaminen helpottaa siltä suojautumista