Measuring organizational capabilities in the engineering and consulting industry

Tämän työn tarkoituksena oli tutkia kuinka organisaation kyvykkyyksiä voidaan mitata engineering- ja konsultointialalla käyttämällä ns. kyvykkyysauditointimenetelmää. Päämotiivit aineettoman omaisuuden mittaamiseksi tunnistettiin kirjallisuuskatsauksen pohjalta. Erilaisten menetelmien etuja ja haittoja tutkittiin, jotta kyvykkyysauditoinnin suorittamiseen liittyvät haasteet ja vaatimukset tulisivat tunnistetuiksi. Kyvykkyysauditoinnin rakentaminen vaati teollisuudenalan erityispiirteiden tunnistamista. Niiksi havaittiin tietointensiivisyys ja projektikeskeisyys. Auditoinnin implementaatioprosessi koostui neljästä osasta, joista kolmen ensimmäisen suorittamiseen case-yritys antoi merkittävän panoksensa. Kriittisten menestystekijöiden selvittämisen jälkeen voitiin niihin vaikuttavat organisaation kyvykkyydet tunnistaa ja arviointi suorittaa. Arvioinnit kerättiin sisäisiltä ja ulkoisilta arvioijilta, ja ne muodostivat pohjan analyysille, joka selvitti yrityksen kehittämistarpeita. Kyvykkyysauditoinnin hyödyiksi laskettiin kasvanut tietämys yrityksen vahvuuksista ja heikkouksista sekä mahdollisuus tarkkailla säännöllisesti sen kokonaissuorituskykyä ja parantaa sitä.

Creating customer relationship management concept for engineering and service business

Customer relationship management has been one essential part of marketing for over 20 years. Today’s business environment is fast changing, international and highly competitive, and that is why the most important factor for long-term profitability is one-to-one customer relationships. However, managing relationships and serving customers that are profitable has been always challenging. In this thesis the objective was to define the main obstacles that the case company must overcome to succeed in CRM. Possible solutions have also been defined. The main elements of the implementation i.e. people, processes and technologies, can clearly be found behind these matters and solutions. This thesis also presents theoretical information about CRM and it is meant to act as a guide book inside the organisation to spread information about CRM for those who are not so familiar with the topic.

A bridge between engineering and language learning : automation and German in an online course

Artikkeli luettavissa osassa: Part 2. - ISBN 9789522163172(PDF). - Liitteenä työpaperi

Ramp-up Predictability - Designing and Prototyping Ramp-up Predictability concept for new product creation

Diplomityön tavoitteena on tutkia ja kehittää menetelmä tuotekehitysprojektin ajalliselle ennustamiselle tuotteen siirtyessä tuotekehityksestä massatuotantoon. Ajallisen ennustamisen merkitys korostuu mitä lähemmäksi uuden tuotteen massatuotannon aloittaminen (ramp-up) tulee, koska strategiset päätökset koskien mm. uusia tuotantolinjoja, materiaalien- ja komponenttien tilaamisia sekä vahvistus asiakastoimitusten aloittamista täytyy tehdä jo paljon aikaisemmin.Työ aloitetaan tutkimalla rinnakkaista insinöörityötä (concurrent engineering) sekä suoritusten mittaamista (performance measurement), joiden sisältämistä ajattelumalleista, työkaluista ja tekniikoista hahmottuivat ajallisen ennustettavuuden onnistumisen edellytykset. Näitä olivat suunnitellun tuotteen ja tuotekehitysprosessin laatu sekä resurssien ja tiimien kompetenssit. Toisaalta ajalliseen ennustettavuuteen vaikuttavat myös projektien riippuvuudet ulkoisista toimittajista ja heidän aikatauluistaan.Teoreettisena viitekehyksenä käytetään Bradford L. Goldense:n luomaa mallia tuotekehityksen proaktiiviseksi mittaamiseksi sekä sovelletaan W. Edward Deming:in jatkuvan parantamisen silmukkaa. Työssä kehitetään Ramp-up Predictability konsepti, joka koostuu keskipitkän ja pitkän aikavälin ennustamisesta. Työhön ei kuulunut mallin käyttöönotto ja seuranta.Toimenpide ehdotuksena esitetään lisätutkimusta mittareiden keskinäisestä korrelaatioista ja niiden luotettavuudesta sekä mallien tarjoamista mahdollisuuksista muille tulosyksiköille.

Railway Wagon Market Analysis and New Multi-Purpose Wagon Solution for Freight Transports - Finnish Manufacturing Perspective

Rautateillä käytettävät tavaravaunut ovat vanhenemassa hyvin nopeasti; tämä koskee niin Venäjää, Suomea, Ruotsia kuin laajemminkin Eurooppaa. Venäjällä ja Euroopassa on käytössä runsaasti vaunuja, jotka ovat jo ylittäneet niille suositeltavan käyttöiän. Silti niitä käytetään kuljetuksissa, kun näitä korvaavia uusia vaunuja ei ole tarpeeksi saatavilla. Uusimmat vaunut ovat yleensä vaunuja vuokraavien yritysten tai uusien rautatieoperaattorien hankkimia - tämä koskee erityisesti Venäjää, jossa vaunuvuokraus on noussut erittäin suosituksi vaihtoehdoksi. Ennusteissa kerrotaan vaunupulan kasvavan ainakin vuoteen 2010 saakka. Jos rautateiden suosio rahtikuljetusmuotona kasvaa, niin voimistuva vaunukysyntä jatkuu huomattavan paljon pidemmän aikaa. Euroopan ja Venäjän vaunukannan tilanne näkyy myös sitä palvelevan konepajateollisuuden ongelmina - yleisesti ottaen alan eurooppalaiset yritykset ovat heikosti kannattavia ja niiden liikevaihto ei juuri kasva, venäläiset ja ukrainalaiset yritykset ovat olleet samassa tilanteessa, joskin aivan viime vuosina tilanne on osassa kääntynyt paremmaksi. Kun näiden maanosien yritysten liikevaihtoa, voittoa ja omistaja-arvoa verrataan yhdysvaltalaisiin kilpailijoihin, huomataan että jälkimmäisten suoriutuminen on huomattavan paljon parempaa, ja näillä yrityksillä on myös kyky maksaa osinkoja omistajilleen. Tutkimuksen tarkoituksena oli kehittää uuden tyyppinen kuljetusvaunu Suomen, Venäjän sekä mahdollisesti myös Kiinan väliseen liikenteeseen. Vaunutyypin tarkoituksena olisi kyetä toimimaan monikäyttöisenä, niin raaka-aineiden kuin konttienkin kuljetuksessa, tasapainottaen kuljetusmuotojen aiheuttamaa kuljetuspaino-ongelmaa. Kehitystyön pohjana käytimme yli 1000 venäläisen vaunutyypin tietokantaa, josta valitsimme Data Envelopment Analysis -menetelmällä soveliaimmat vaunut kontinkuljetukseen (lähemmin tarkastelimme n. 40 vaunutyyppiä), jättäen mahdollisimman vähän tyhjää tilaa junaan, mutta silti kyeten kantamaan valitun konttilastin. Kun kantokykyongelmia venäläisissä vaunuissa ei useinkaan ole, on vertailu tehtävissä tavarajunan pituuden ja kokonaispainon perusteella. Simuloituamme yhdistettyihin kuljetuksiin soveliasta vaunutyyppiä käytännössä löytyvässä kuljetusverkostossa (esim. raakapuuta Suomeen tai Kiinaan ja kontteja takaisin Venäjän suuntaan), huomasimme lyhemmän vaunupituuden sisältävän kustannusetua, erityisesti raakaainekuljetuksissa, mutta myös rajanylityspaikkojen mahdollisesti vähentyessä. Lyhempi vaunutyyppi on myös joustavampi erilaisten konttipituuksien suhteen (40 jalan kontin käyttö on yleistynyt viime vuosina). Työn lopuksi ehdotamme uuden vaunutyypin tuotantotavaksi verkostomaista lähestymistapaa, jossa osa vaunusta tehtäisiin Suomessa ja osa Venäjällä ja/tai Ukrainassa. Vaunutyypin tulisi olla rekisteröity Venäjälle, sillä silloin sitä voi käyttää Suomen ja Venäjän, kuten myös soveltuvin osin Venäjän ja Kiinan välisessä liikenteessä.

Modeling the transport phenomena within arterial wall: porous media approach

The transport of macromolecules, such as low-density lipoprotein (LDL), and their accumulation in the layers of the arterial wall play a critical role in the creation and development of atherosclerosis. Atherosclerosis is a disease of large arteries e.g., the aorta, coronary, carotid, and other proximal arteries that involves a distinctive accumulation of LDL and other lipid-bearing materials in the arterial wall. Over time, plaque hardens and narrows the arteries. The flow of oxygen-rich blood to organs and other parts of the body is reduced. This can lead to serious problems, including heart attack, stroke, or even death. It has been proven that the accumulation of macromolecules in the arterial wall depends not only on the ease with which materials enter the wall, but also on the hindrance to the passage of materials out of the wall posed by underlying layers. Therefore, attention was drawn to the fact that the wall structure of large arteries is different than other vessels which are disease-resistant. Atherosclerosis tends to be localized in regions of curvature and branching in arteries where fluid shear stress (shear rate) and other fluid mechanical characteristics deviate from their normal spatial and temporal distribution patterns in straight vessels. On the other hand, the smooth muscle cells (SMCs) residing in the media layer of the arterial wall respond to mechanical stimuli, such as shear stress. Shear stress may affect SMC proliferation and migration from the media layer to intima. This occurs in atherosclerosis and intimal hyperplasia. The study of blood flow and other body fluids and of heat transport through the arterial wall is one of the advanced applications of porous media in recent years. The arterial wall may be modeled in both macroscopic (as a continuous porous medium) and microscopic scales (as a heterogeneous porous medium). In the present study, the governing equations of mass, heat and momentum transport have been solved for different species and interstitial fluid within the arterial wall by means of computational fluid dynamics (CFD). Simulation models are based on the finite element (FE) and finite volume (FV) methods. The wall structure has been modeled by assuming the wall layers as porous media with different properties. In order to study the heat transport through human tissues, the simulations have been carried out for a non-homogeneous model of porous media. The tissue is composed of blood vessels, cells, and an interstitium. The interstitium consists of interstitial fluid and extracellular fibers. Numerical simulations are performed in a two-dimensional (2D) model to realize the effect of the shape and configuration of the discrete phase on the convective and conductive features of heat transfer, e.g. the interstitium of biological tissues. On the other hand, the governing equations of momentum and mass transport have been solved in the heterogeneous porous media model of the media layer, which has a major role in the transport and accumulation of solutes across the arterial wall. The transport of Adenosine 5´-triphosphate (ATP) is simulated across the media layer as a benchmark to observe how SMCs affect on the species mass transport. In addition, the transport of interstitial fluid has been simulated while the deformation of the media layer (due to high blood pressure) and its constituents such as SMCs are also involved in the model. In this context, the effect of pressure variation on shear stress is investigated over SMCs induced by the interstitial flow both in 2D and three-dimensional (3D) geometries for the media layer. The influence of hypertension (high pressure) on the transport of lowdensity lipoprotein (LDL) through deformable arterial wall layers is also studied. This is due to the pressure-driven convective flow across the arterial wall. The intima and media layers are assumed as homogeneous porous media. The results of the present study reveal that ATP concentration over the surface of SMCs and within the bulk of the media layer is significantly dependent on the distribution of cells. Moreover, the shear stress magnitude and distribution over the SMC surface are affected by transmural pressure and the deformation of the media layer of the aorta wall. This work reflects the fact that the second or even subsequent layers of SMCs may bear shear stresses of the same order of magnitude as the first layer does if cells are arranged in an arbitrary manner. This study has brought new insights into the simulation of the arterial wall, as the previous simplifications have been ignored. The configurations of SMCs used here with elliptic cross sections of SMCs closely resemble the physiological conditions of cells. Moreover, the deformation of SMCs with high transmural pressure which follows the media layer compaction has been studied for the first time. On the other hand, results demonstrate that LDL concentration through the intima and media layers changes significantly as wall layers compress with transmural pressure. It was also noticed that the fraction of leaky junctions across the endothelial cells and the area fraction of fenestral pores over the internal elastic lamina affect the LDL distribution dramatically through the thoracic aorta wall. The simulation techniques introduced in this work can also trigger new ideas for simulating porous media involved in any biomedical, biomechanical, chemical, and environmental engineering applications.

Kernel-Based Ranking. Methods for Learning and Performance Estimation

Machine learning provides tools for automated construction of predictive models in data intensive areas of engineering and science. The family of regularized kernel methods have in the recent years become one of the mainstream approaches to machine learning, due to a number of advantages the methods share. The approach provides theoretically well-founded solutions to the problems of under- and overfitting, allows learning from structured data, and has been empirically demonstrated to yield high predictive performance on a wide range of application domains. Historically, the problems of classification and regression have gained the majority of attention in the field. In this thesis we focus on another type of learning problem, that of learning to rank. In learning to rank, the aim is from a set of past observations to learn a ranking function that can order new objects according to how well they match some underlying criterion of goodness. As an important special case of the setting, we can recover the bipartite ranking problem, corresponding to maximizing the area under the ROC curve (AUC) in binary classification. Ranking applications appear in a large variety of settings, examples encountered in this thesis include document retrieval in web search, recommender systems, information extraction and automated parsing of natural language. We consider the pairwise approach to learning to rank, where ranking models are learned by minimizing the expected probability of ranking any two randomly drawn test examples incorrectly. The development of computationally efficient kernel methods, based on this approach, has in the past proven to be challenging. Moreover, it is not clear what techniques for estimating the predictive performance of learned models are the most reliable in the ranking setting, and how the techniques can be implemented efficiently. The contributions of this thesis are as follows. First, we develop RankRLS, a computationally efficient kernel method for learning to rank, that is based on minimizing a regularized pairwise least-squares loss. In addition to training methods, we introduce a variety of algorithms for tasks such as model selection, multi-output learning, and cross-validation, based on computational shortcuts from matrix algebra. Second, we improve the fastest known training method for the linear version of the RankSVM algorithm, which is one of the most well established methods for learning to rank. Third, we study the combination of the empirical kernel map and reduced set approximation, which allows the large-scale training of kernel machines using linear solvers, and propose computationally efficient solutions to cross-validation when using the approach. Next, we explore the problem of reliable cross-validation when using AUC as a performance criterion, through an extensive simulation study. We demonstrate that the proposed leave-pair-out cross-validation approach leads to more reliable performance estimation than commonly used alternative approaches. Finally, we present a case study on applying machine learning to information extraction from biomedical literature, which combines several of the approaches considered in the thesis. The thesis is divided into two parts. Part I provides the background for the research work and summarizes the most central results, Part II consists of the five original research articles that are the main contribution of this thesis.

Logistics of North-West Russia and Rail Baltica: Standpoints of Private Sector

The main aims of the present report are to describe the current state of railway transport in Russia, and to gather standpoints of Russian private transportation logistics sector towards the development of new railway connection called Rail Baltica Growth Corridor, connecting North-West Russia with Germany through the Baltic States and Poland. North-West Russia plays important role not only in Russian logistics, but also wider European markets as in container sea ports handling is approx. 2.5 mill. TEU p.a. and handling volume in all terminals is above 190 million tons p.a. The whole transportation logistics sector is shortly described as an operational environment for railways – this is done through technical and economic angles. Transportation development is always going in line with economics of the country, so the analysis on economical development is also presented. Logistics integration of the country is strongly influenced by its engagement in the international trade. Although, raw material handling at sea ports and container transports (imports) are blossoming, domestic transportation market is barely growing (in long-term perspective). Thus, recent entrance of Russia into World Trade Organization (WTO) is analyzed theme in this research, as the WTO is an important regulator of the foreign trade and enabler of volume growth in foreign trade related transportation logistics. However, WTO membership can influence negatively the development of Russia’s own industry and its volumes (these have been uncompetitive in global markets for decades). Data gathering in empirical part was accomplished by semi-structured case study interviews among North-West Russian logistics sector actors (private). These were conducted during years 2012-2013, and research compiles findings out of ten case company interviews. Although, there was no sea port involved in the study, most of the interviewed companies relied in European Logistics within significant parts in short sea shipping and truck combined transportation chains (in Russian part also using railways). As the results of the study, it could be concluded that Rail Baltica is seen as possible transport corridor in most of the interviewed companies, if there is enough cargo available. However, interviewees are a bit sceptical, because major and large-scale infrastructural improvements are needed. Delivery time, frequency and price level are three main factors influencing the attractiveness of Rail Baltica route. Price level is the most important feature, but if RB can offer other advantages such as higher frequency, shorter lead times or more developed set of value-added services, then some flexibility is possible for the price level. Environmental issues are not the main criteria of today, but are recognized and discussed among customers. Great uncertainty exists among respondents e.g. on forthcoming sulphur oxide ban on Baltic Sea shipping (whether or not it is going to be implemented in Russia). Rather surprisingly, transportation routes to Eastern Europe and Mediterranean area are having higher value and price space than those to Germany/Central Europe. Border crossing operations (traction monopoly at rails and customs), gauge widths as well as unclear decision-making processes (in Russia), are named as hindering factors. Performance standards for European connected logistics among Russian logistics sector representatives are less demanding as compared to neighbourhood countries belonging to EU.

Same- and Other-Sex Victimization : Risk Factors, Consequences, and Protection by Peers

Bullying can be viewed as goal-oriented behavior in the strive for dominance and prestige in the peer group (Salmivalli, 2010). To ensure the effectiveness of their power demonstrations, bullies often choose targets from among their vulnerable peers (Salmivalli, 2010; Veenstra et al., 2007). A large number of studies have also shown that victimization has severe consequences for the victims’ psychosocial adjustment (Reijntjes, Kamphuis, Prinzie, & Telch, 2010; Ttofi, Farrington, Lösel, & Loeber, 2011). In this thesis I investigate – based on three empirical studies – whether similar dynamics on the risk factors and consequences apply to same- and other-sex victimization. In the empirical studies, we used the data from the randomized control trial of the KiVa antibullying program for the elementary school grades 4–6 (2007–2008), and for the middle school grades 7–9 (2008–2009). We measured same- and other-sex victimization, and victims’ defending relationships by dyadic questions: “By which classmates are you victimized?” and “By which classmates are you supported, comforted, or defended?” In addition, we used self-reports and peer reports to measure adjustment and social status. The findings imply that other-sex victimization may be challenging for antibullying work. First, although targets of bullying seemed to be selected from among vulnerable peers for the most part, perceived popularity increased the risks of other-sex victimization. Popularity of these victims may falsely lead to an impression that the victims are doing well. Second, the consequences considering victims’ later psychosocial adjustment were alarming concerning girls bullied by boys. Thus, despite the fact that the targets may be perceived as popular, other-sex victimization can have even more severe consequences than same-sex victimization. Third, we found that defending relationships were mostly same-sex relationships, and consequently, we may ask whether defending is effective against other-sex bullies. Finally, the KiVa antibullying program was less effective against other-sex victimization in the adolescent sample. The findings altogether emphasize the importance of taking into account the sex composition of the bully-victim dyad, both considering future research on bullying and in the antibullying work with children and adolescents.

Railways, Airports and Sea Container Operators as Publicly Listed Companies – Financial Performance and Shareholder Value Creation Perspective

Logistics infrastructure and transportation services have been the liability of countries and governments for decades, or these have been under strict regulation policies. One of the first branches opened for competition in EU as well as in other continents, has been air transports (operators, like passenger and freight) and road transports. These have resulted on lower costs, better connectivity and in most of the cases higher service quality. However, quite large amount of other logistics related activities are still directly (or indirectly) under governmental influence, e.g. railway infrastructure, road infrastructure, railway operations, airports, and sea ports. Due to the globalization, governmental influence is not that necessary in this sector, since transportation needs have increased with much more significant phase as compared to economic growth. Also freight transportation needs do not correlate with passenger side, due to the reason that only small number of areas in the world have specialized in the production of particular goods. Therefore, in number of cases public-private partnership, or even privately owned companies operating in these sub-branches have been identified as beneficial for countries, customers and further economic growth. The objective of this research work is to shed more light on these kinds of experiments, especially in the relatively unknown sub-branches of logistics like railways, airports and sea container transports. In this research work we have selected companies having public listed status in some stock exchange, and have needed amount of financial scale to be considered as serious company rather than start-up phase venture. Our research results show that railways and airports usually need high fixed investments, but have showed in the last five years generally good financial performance, both in terms of profitability and cash flow. In contrary to common belief of prosperity in globally growing container transports, sea vessel operators of containers have not shown that impressive financial performance. Generally margins in this business are thin, and profitability has been sacrificed in front of high growth – this also concerns cash flow performance, which has been lower too. However, as we examine these three logistics sub-branches through shareholder value development angle during time period of 2002-2007, we were surprised to find out that all of these three have outperformed general stock market indexes in this period. More surprising is the result that financially a bit less performing sea container transportation sector shows highest shareholder value gain in the examination period. Thus, it should be remembered that provided analysis shows only limited picture, since e.g. dividends were not taken into consideration in this research work. Therefore, e.g. US railway operators have disadvantage to other in the analysis, since they have been able to provide dividends for shareholders in long period of time. Based on this research work we argue that investment on transportation/logistics sector seems to be safe alternative, which yields with relatively low risk high gain. Although global economy would face smaller growth period, this sector seems to provide opportunities in more demanding situation as well.

Accelerating food safety and quality control: The use of antibody engineering techniques in the detec-tion of low-molecular weight food contaminants

The increased awareness and evolved consumer habits have set more demanding standards for the quality and safety control of food products. The production of foodstuffs which fulfill these standards can be hampered by different low-molecular weight contaminants. Such compounds can consist of, for example residues of antibiotics in animal use or mycotoxins. The extremely small size of the compounds has hindered the development of analytical methods suitable for routine use, and the methods currently in use require expensive instrumentation and qualified personnel to operate them. There is a need for new, cost-efficient and simple assay concepts which can be used for field testing and are capable of processing large sample quantities rapidly. Immunoassays have been considered as the golden standard for such rapid on-site screening methods. The introduction of directed antibody engineering and in vitro display technologies has facilitated the development of novel antibody based methods for the detection of low-molecular weight food contaminants. The primary aim of this study was to generate and engineer antibodies against low-molecular weight compounds found in various foodstuffs. The three antigen groups selected as targets of antibody development cause food safety and quality defects in wide range of products: 1) fluoroquinolones: a family of synthetic broad-spectrum antibacterial drugs used to treat wide range of human and animal infections, 2) deoxynivalenol: type B trichothecene mycotoxin, a widely recognized problem for crops and animal feeds globally, and 3) skatole, or 3-methyindole is one of the two compounds responsible for boar taint, found in the meat of monogastric animals. This study describes the generation and engineering of antibodies with versatile binding properties against low-molecular weight food contaminants, and the consecutive development of immunoassays for the detection of the respective compounds.

Optimization and Applications of Large-Scale Biomedical Event Networks

The overwhelming amount and unprecedented speed of publication in the biomedical domain make it difficult for life science researchers to acquire and maintain a broad view of the field and gather all information that would be relevant for their research. As a response to this problem, the BioNLP (Biomedical Natural Language Processing) community of researches has emerged and strives to assist life science researchers by developing modern natural language processing (NLP), information extraction (IE) and information retrieval (IR) methods that can be applied at large-scale, to scan the whole publicly available biomedical literature and extract and aggregate the information found within, while automatically normalizing the variability of natural language statements. Among different tasks, biomedical event extraction has received much attention within BioNLP community recently. Biomedical event extraction constitutes the identification of biological processes and interactions described in biomedical literature, and their representation as a set of recursive event structures. The 2009–2013 series of BioNLP Shared Tasks on Event Extraction have given raise to a number of event extraction systems, several of which have been applied at a large scale (the full set of PubMed abstracts and PubMed Central Open Access full text articles), leading to creation of massive biomedical event databases, each of which containing millions of events. Sinece top-ranking event extraction systems are based on machine-learning approach and are trained on the narrow-domain, carefully selected Shared Task training data, their performance drops when being faced with the topically highly varied PubMed and PubMed Central documents. Specifically, false-positive predictions by these systems lead to generation of incorrect biomolecular events which are spotted by the end-users. This thesis proposes a novel post-processing approach, utilizing a combination of supervised and unsupervised learning techniques, that can automatically identify and filter out a considerable proportion of incorrect events from large-scale event databases, thus increasing the general credibility of those databases. The second part of this thesis is dedicated to a system we developed for hypothesis generation from large-scale event databases, which is able to discover novel biomolecular interactions among genes/gene-products. We cast the hypothesis generation problem as a supervised network topology prediction, i.e predicting new edges in the network, as well as types and directions for these edges, utilizing a set of features that can be extracted from large biomedical event networks. Routine machine learning evaluation results, as well as manual evaluation results suggest that the problem is indeed learnable. This work won the Best Paper Award in The 5th International Symposium on Languages in Biology and Medicine (LBM 2013).