3D Printing and bioprinting of osteomimetic materials for 3D in vitro models and tissue repair applications

Bone disorders have severe impact on body functions and quality life, and no satisfying therapies exist yet. The current models for bone disease study are scarcely predictive and the options existing for therapy fail for complex systems. To mimic and/or restore bone, 3D printing/bioprinting allows the creation of 3D structures with different materials compositions, properties, and designs. In this study, 3D printing/bioprinting has been explored for (i) 3D in vitro tumor models and (ii) regenerative medicine. Tumor models have been developed by investigating different bioinks (i.e., alginate, modified gelatin) enriched by hydroxyapatite nanoparticles to increase printing fidelity and increase biomimicry level, thus mimicking the organic and inorganic phase of bone. High Saos-2 cell viability was obtained, and the promotion of spheroids clusters as occurring in vivo was observed. To develop new syntethic bone grafts, two approaches have been explored. In the first, novel magnesium-phosphate scaffolds have been investigated by extrusion-based 3D printing for spinal fusion. 3D printing process and parameters have been optimized to obtain custom-shaped structures, with competent mechanical properties. The 3D printed structures have been combined to alginate porous structures created by a novel ice-templating technique, to be loaded by antibiotic drug to address infection prevention. Promising results in terms of planktonic growth inhibition was obtained. In the second strategy, marine waste precursors have been considered for the conversion in biogenic HA by using a mild-wet conversion method with different parameters. The HA/carbonate ratio conversion efficacy was analysed for each precursor (by FTIR and SEM), and the best conditions were combined to alginate to develop a composite structure. The composite paste was successfully employed in custom-modified 3D printer for the obtainment of 3D printed stable scaffolds. In conclusion, the osteomimetic materials developed in this study for bone models and synthetic grafts are promising in bone field.

Diffusive models and chaos indicators for non-linear betatron motion in circular hadron accelerators

Understanding the complex dynamics of beam-halo formation and evolution in circular particle accelerators is crucial for the design of current and future rings, particularly those utilizing superconducting magnets such as the CERN Large Hadron Collider (LHC), its luminosity upgrade HL-LHC, and the proposed Future Circular Hadron Collider (FCC-hh). A recent diffusive framework, which describes the evolution of the beam distribution by means of a Fokker-Planck equation, with diffusion coefficient derived from the Nekhoroshev theorem, has been proposed to describe the long-term behaviour of beam dynamics and particle losses. In this thesis, we discuss the theoretical foundations of this framework, and propose the implementation of an original measurement protocol based on collimator scans in view of measuring the Nekhoroshev-like diffusive coefficient by means of beam loss data. The available LHC collimator scan data, unfortunately collected without the proposed measurement protocol, have been successfully analysed using the proposed framework. This approach is also applied to datasets from detailed measurements of the impact on the beam losses of so-called long-range beam-beam compensators also at the LHC. Furthermore, dynamic indicators have been studied as a tool for exploring the phase-space properties of realistic accelerator lattices in single-particle tracking simulations. By first examining the classification performance of known and new indicators in detecting the chaotic character of initial conditions for a modulated Hénon map and then applying this knowledge to study the properties of realistic accelerator lattices, we tried to identify a connection between the presence of chaotic regions in the phase space and Nekhoroshev-like diffusive behaviour, providing new tools to the accelerator physics community.

Models and algorithms for real-world optimization problems

This thesis deals with efficient solution of optimization problems of practical interest. The first part of the thesis deals with bin packing problems. The bin packing problem (BPP) is one of the oldest and most fundamental combinatorial optimiza- tion problems. The bin packing problem and its generalizations arise often in real-world ap- plications, from manufacturing industry, logistics and transportation of goods, and scheduling. After an introductory chapter, I will present two applications of two of the most natural extensions of the bin packing: Chapter 2 will be dedicated to an application of bin packing in two dimension to a problem of scheduling a set of computational tasks on a computer cluster, while Chapter 3 deals with the generalization of BPP in three dimensions that arise frequently in logistic and transportation, often com- plemented with additional constraints on the placement of items and characteristics of the solution, like, for example, guarantees on the stability of the items, to avoid potential damage to the transported goods, on the distribution of the total weight of the bins, and on compatibility with loading and unloading operations. The second part of the thesis, and in particular Chapter 4 considers the Trans- mission Expansion Problem (TEP), where an electrical transmission grid must be expanded so as to satisfy future energy demand at the minimum cost, while main- taining some guarantees of robustness to potential line failures. These problems are gaining importance in a world where a shift towards renewable energy can impose a significant geographical reallocation of generation capacities, resulting in the ne- cessity of expanding current power transmission grids.

Theoretical models and ab initio calculations of phonons

Questa tesi intende approfondire da un punto di vista, sia teorico sia computazionale, le proprietà fondamentali dei fononi. A tal fine, sono presentati i modelli quantistici di Einstein e di Debye che permettono la derivazione analitica degli osservabili macroscopici principali di un solido, come l’energia media e la capacità termica. Ciò è possibile tramite una trattazione meccano-statistica basata sull’approssimazione armonica dei modi normali di vibrazione degli ioni reticolari. Quindi, all’inizio si mostrano brevemente i risultati principali riguardanti l’oscillatore armonico quantistico. Successivamente, si approfondiscono i temi della dispersione fononica e della densità degli stati vibrazionali per reticoli cristallini 1D e 3D. Si ottiene che la prima non può essere considerata lineare se non nel limite di alte lunghezze d’onda, e che la seconda può presentare punti di singolarità correlati alla forma della relazione di dispersione. Infine, sono state svolte alcune analisi computazionali ab initio relative alla dispersione fononica, la densità degli stati vibrazionali e la frequenza di Debye del Carbonio (diamante) tramite i programmi VASP e Phonopy, confrontando i risultati con dati sperimentali presenti in letteratura.

Bio-QA-GNN: Reasoning with Language Models and Knowledge Graphs for Interpretable Biomedical Question Answering

Nowadays the idea of injecting world or domain-specific structured knowledge into pre-trained language models (PLMs) is becoming an increasingly popular approach for solving problems such as biases, hallucinations, huge architectural sizes, and explainability lack—critical for real-world natural language processing applications in sensitive fields like bioinformatics. One recent work that has garnered much attention in Neuro-symbolic AI is QA-GNN, an end-to-end model for multiple-choice open-domain question answering (MCOQA) tasks via interpretable text-graph reasoning. Unlike previous publications, QA-GNN mutually informs PLMs and graph neural networks (GNNs) on top of relevant facts retrieved from knowledge graphs (KGs). However, taking a more holistic view, existing PLM+KG contributions mainly consider commonsense benchmarks and ignore or shallowly analyze performances on biomedical datasets. This thesis start from a propose of a deep investigation of QA-GNN for biomedicine, comparing existing or brand-new PLMs, KGs, edge-aware GNNs, preprocessing techniques, and initialization strategies. By combining the insights emerged in DISI's research, we introduce Bio-QA-GNN that include a KG. Working with this part has led to an improvement in state-of-the-art of MCOQA model on biomedical/clinical text, largely outperforming the original one (+3.63\% accuracy on MedQA). Our findings also contribute to a better understanding of the explanation degree allowed by joint text-graph reasoning architectures and their effectiveness on different medical subjects and reasoning types. Codes, models, datasets, and demos to reproduce the results are freely available at: \url{https://github.com/disi-unibo-nlp/bio-qagnn}.

Pedagogia do esporte : pressupostos para uma teoria da avaliação da aprendizagem = Sport pedagogy: presuppositions for a learning assessment theory

Universidade Estadual de Campinas . Faculdade de Educação Física

HISTORIOGRAPHY OF PSYCHOLOGY IN BRAZIL: Pioneer Works, Recent Developments

The evolution of the historiography of psychology in Brazil is surveyed, to describe how the field has evolved from the seminal works of the pioneer, mostly self-taught, psychologists, to the now professional historians working from a variety of theoretical models and methods of inquiry. The first accounts of the history of psychology written by Brazilians and by foreigners are surveyed, as well as the recent works made by researchers linked to the Work Group on the History of Psychology of the Brazilian Association of Research and Graduate Education in Psychology and published in periodicals such as Memorandum and Mnemosine. The present historiography focuses mainly the relationship of psychological knowledge to specific social and cultural conditions, emphasizing themes such as women`s participation in the construction of the field, the development of psychology as a science and as a profession in education and health, and the development of psychology as an expression of Brazilian culture and of the experience of resistance of local communities to domination. To reveal this process of identity construction, a cultural historiography is an important tool, coupled with methodological pluralism.

Determining the Adjustment Baseline Parameters to Define an Accurate Customer Baseline Load

Demand response is an energy resource that has gained increasing importance in the context of competitive electricity markets and of smart grids. New business models and methods designed to integrate demand response in electricity markets and of smart grids have been published, reporting the need of additional work in this field. In order to adequately remunerate the participation of the consumers in demand response programs, improved consumers’ performance evaluation methods are needed. The methodology proposed in the present paper determines the characterization of the baseline approach that better fits the consumer historic consumption, in order to determine the expected consumption in absent of participation in a demand response event and then determine the actual consumption reduction. The defined baseline can then be used to better determine the remuneration of the consumer. The paper includes a case study with real data to illustrate the application of the proposed methodology.

Life designing: A paradigm for career construction in the 21st century

At the beginning of the 21st century, a new social arrangement of work poses a series of questions and challenges to scholars who aim to help people develop their working lives. Given the globalization of career counseling, we decided to address these issues and then to formulate potentially innovative responses in an international forum. We used this approach to avoid the difficulties of creating models and methods in one country and then trying to export them to other countries where they would be adapted for use. This article presents the initial outcome of this collaboration, a counseling model and methods. The life-designing model for career intervention endorses five presuppositions about people and their work lives: contextual possibilities, dynamic processes, non-linear progression, multiple perspectives, and personal patterns. Thinking from these five presuppositions, we have crafted a contextualized model based on the epistemology of social constructionism, particularly recognizing that an individual's knowledge and identity are the product of social interaction and that meaning is co-constructed through discourse. The life-design framework for counseling implements the theories of self-constructing [Guichard, J. (2005). Life-long self-construction. International Journal for Educational and Vocational Guidance, 5, 111-124] and career construction [Savickas, M. L. (2005). The theory and practice of career construction. In S. D. Brown & R. W. Lent (Eds.), Career development and counselling: putting theory and research to work (pp. 42-70). Hoboken, NJ: Wiley] that describe vocational behavior and its development. Thus, the framework is structured to be life-long, holistic, contextual, and preventive.

Liiketoimintaprosessien kehittämismenetelmän suunnittelu ja testaus

Tämändiplomityön tavoitteena oli tutkia, miten liiketoimintaprosessissa esiintyviä toimijoiden välisiä riippuvuussuhteita voidaan kehittää, käyttäen juuri tähän tarkoitukseen räätälöityä kehittämismenetelmää ja mitä osia tämäntyyppisen kehittämismenetelmän tulisi sisältää. Työssä ideoitu menetelmä on tarkoitettu jo käytössä olevien liiketoimintaprosessien kehittämiseen. Työ aloitettiin tutkimalla teoriataustaa liiketoimintaprosesseistaja olemassa olevista organisaatioiden sekä liiketoimintaprosessien kehittämismenetelmistä. Kehittämismenetelmän sisällön määrittelyssä hyödynnettiin myös työn tilaajan toimesta aikaisemmin tehtyä menetelmien ja mallien kehittämistyötä. Menetelmän sisältö rajattiin kolmeen vaiheeseen, joita ovat kehittämisprojektin suunnitteluvaihe, prosessin ja toimijoiden välisten yhteistyösuhteiden analysointivaihe sekä kehittämisratkaisujen suunnittelu- ja toteutusvaihe. Menetelmää testattiin kahdessa julkisen sektorin palveluprosessissa, joista saatujen kokemuksien perusteella menetelmää kehitettiin edelleen lopulliseen muotoonsa. Työn varsinaisena tuloksena syntyi sekä käytännössä testattu kehittämismenetelmä että useita potentiaalisia jatkokehityskohteita, jotka koskevat menetelmän yksittäisiä vaiheita. Lisäksi kehittämistyön yhteydessä syntyi myös laajempia kehittämisideoita, jotka koskevat prosessi- ja verkostomallien yhdistämistä, prosessijohtamista ja kehittämishankkeiden koordinointia.

Analysis of a finite volume method for a cross-diffusion model in population dynamics

The main goal of this paper is to propose a convergent finite volume method for a reactionâeuro"diffusion system with cross-diffusion. First, we sketch an existence proof for a class of cross-diffusion systems. Then the standard two-point finite volume fluxes are used in combination with a nonlinear positivity-preserving approximation of the cross-diffusion coefficients. Existence and uniqueness of the approximate solution are addressed, and it is also shown that the scheme converges to the corresponding weak solution for the studied model. Furthermore, we provide a stability analysis to study pattern-formation phenomena, and we perform two-dimensional numerical examples which exhibit formation of nonuniform spatial patterns. From the simulations it is also found that experimental rates of convergence are slightly below second order. The convergence proof uses two ingredients of interest for various applications, namely the discrete Sobolev embedding inequalities with general boundary conditions and a space-time $L^1$ compactness argument that mimics the compactness lemma due to Kruzhkov. The proofs of these results are given in the Appendix.

CRM tietojohtamisen näkökulmasta

Tämän tutkielman tarkoituksena on selvittää, miten tietojohtamisen konseptia voidaansoveltaa asiakassuhteiden hallinnassa. Tutkimusmenetelmänä olen käyttänyt kirjallisuustutkimusta, jota on täydennetty yhdellä tapaustutkimuksella. Tietojohtaminen voidaan jakaa kahteen osakokonaisuuteen: tietämyksen hallintaan ja tietohallintoon. Tietämyksen hallinta käsittää ihmiset ja organisaation, kun taas tietohallinto käsittää tietojärjestelmät ja sovellukset. Tätä jaottelua voidaan soveltaa myös asiakassuhteiden (asiakkuuksien) hallintaan. Asiakkuuden hallinta voidaansamaan tapaan jakaa asiakastietämyksen hallintaan ja sitä tukevaan tietohallintoon. Näin ollen tietojohtamisen kehittämiseen rakennetut mallit ja menetelmät ovat sovellettavissa myös asiakkuuden hallinnan kehittämiseen. Tietojohtamisen konseptin ja tapaustutkimuksen pohjalta johtamani asiakkuuden hallinnan konsepti poikkeaa jonkin verran yleisesti käytetyistä asiakkuuden hallinnan teoreettisista malleista. Konseptini arkkitehtuuri perustuu visioon, muutosta kuvaaviin strategioihin sekä yhteisesti sovittuihin mittareihin, joilla asiakkuuden hallinnan eriosa-alueiden tarkoituksenmukaisuutta ja tehokkuutta arvioidaan. Keskeisenä tavoitteena on varmistaa asiakastietämyksen kartuttaminen ja tehokas hyödyntäminen kaikissa asiakasrajapinnoissa. Tähän päästään yhdistämällä asiakasprosessit ja organisaation omat toimintaprosessit mahdollisimman saumattomaksi kokonaisuudeksi mm. tietohallinnon palveluja ja monikanavaisuuden ideaa hyödyntämällä. Asiakkuuden hallinnan kehittämisen kannalta on tärkeää ymmärtää, millaisia mahdollisuuksia tietojohtamisen eri mallit ja yleisemmin koko tietoyhteiskuntakehitys antavat organisaatioiden kilpailukyvyn tehostamiseen. Keskeistä on luoda edellytykset tiedon vapaalle virralle, verkostoitumiselle ja innovaatioille unohtamatta kuitenkaan analyysin ja systemaattisten toimintatapojen merkitystä yrityksen toiminnan kokonaisuudessa

Conservation Genetics of Exploited Finnish Salmonid Fishes

Genetic diversity is one of the levels of biodiversity that the World Conservation Union (IUCN) has recognized as being important to preserve. This is because genetic diversity is fundamental to the future evolution and to the adaptive flexibility of a species to respond to the inherently dynamic nature of the natural world. Therefore, the key to maintaining biodiversity and healthy ecosystems is to identify, monitor and maintain locally-adapted populations, along with their unique gene pools, upon which future adaptation depends. Thus, conservation genetics deals with the genetic factors that affect extinction risk and the genetic management regimes required to minimize the risk. The conservation of exploited species, such as salmonid fishes, is particularly challenging due to the conflicts between different interest groups. In this thesis, I conduct a series of conservation genetic studies on primarily Finnish populations of two salmonid fish species (European grayling, Thymallus thymallus, and lake-run brown trout, Salmo trutta) which are popular recreational game fishes in Finland. The general aim of these studies was to apply and develop population genetic approaches to assist conservation and sustainable harvest of these populations. The approaches applied included: i) the characterization of population genetic structure at national and local scales; ii) the identification of management units and the prioritization of populations for conservation based on evolutionary forces shaping indigenous gene pools; iii) the detection of population declines and the testing of the assumptions underlying these tests; and iv) the evaluation of the contribution of natural populations to a mixed stock fishery. Based on microsatellite analyses, clear genetic structuring of exploited Finnish grayling and brown trout populations was detected at both national and local scales. Finnish grayling were clustered into three genetically distinct groups, corresponding to northern, Baltic and south-eastern geographic areas of Finland. The genetic differentiation among and within population groups of grayling ranged from moderate to high levels. Such strong genetic structuring combined with low genetic diversity strongly indicates that genetic drift plays a major role in the evolution of grayling populations. Further analyses of European grayling covering the majority of the species’ distribution range indicated a strong global footprint of population decline. Using a coalescent approach the beginning of population reduction was dated back to 1 000-10 000 years ago (ca. 200-2 000 generations). Forward simulations demonstrated that the bottleneck footprints measured using the M ratio can persist within small populations much longer than previously anticipated in the face of low levels of gene flow. In contrast to the M ratio, two alternative methods for genetic bottleneck detection identified recent bottlenecks in six grayling populations that warrant future monitoring. Consistent with the predominant role of random genetic drift, the effective population size (N_e) estimates of all grayling populations were very low with the majority of N_e estimates below 50. Taken together, highly structured local populations, limited gene flow and the small N_e of grayling populations indicates that grayling populations are vulnerable to overexploitation and, hence, monitoring and careful management using the precautionary principles is required not only in Finland but throughout Europe. Population genetic analyses of lake-run brown trout populations in the Inari basin (northernmost Finland) revealed hierarchical population structure where individual populations were clustered into three population groups largely corresponding to different geographic regions of the basin. Similar to my earlier work with European grayling, the genetic differentiation among and within population groups of lake-run brown trout was relatively high. Such strong differentiation indicated that the power to determine the relative contribution of populations in mixed fisheries should be relatively high. Consistent with these expectations, high accuracy and precision in mixed stock analysis (MSA) simulations were observed. Application of MSA to indigenous fish caught in the Inari basin identified altogether twelve populations that contributed significantly to mixed stock fisheries with the Ivalojoki river system being the major contributor (70%) to the total catch. When the contribution of wild trout populations to the fisheries was evaluated regionally, geographically nearby populations were the main contributors to the local catches. MSA also revealed a clear separation between the lower and upper reaches of Ivalojoki river system – in contrast to lower reaches of the Ivalojoki river that contributed considerably to the catch, populations from the upper reaches of the Ivalojoki river system (>140 km from the river mouth) did not contribute significantly to the fishery. This could be related to the available habitat size but also associated with a resident type life history and increased cost of migration. The studies in my thesis highlight the importance of dense sampling and wide population coverage at the scale being studied and also demonstrate the importance of critical evaluation of the underlying assumptions of the population genetic models and methods used. These results have important implications for conservation and sustainable fisheries management of Finnish populations of European grayling and brown trout in the Inari basin.

Demographic Modelling of Human Population Growth

This work presents models and methods that have been used in producing forecasts of population growth. The work is intended to emphasize the reliability bounds of the model forecasts. Leslie model and various versions of logistic population models are presented. References to literature and several studies are given. A lot of relevant methodology has been developed in biological sciences. The Leslie modelling approach involves the use of current trends in mortality,fertility, migration and emigration. The model treats population divided in age groups and the model is given as a recursive system. Other group of models is based on straightforward extrapolation of census data. Trajectories of simple exponential growth function and logistic models are used to produce the forecast. The work presents the basics of Leslie type modelling and the logistic models, including multi- parameter logistic functions. The latter model is also analysed from model reliability point of view. Bayesian approach and MCMC method are used to create error bounds of the model predictions.

Viitearkkitehtuuri Windows-sovelluksen käyttöliittymän modernisoimiseksi web-sovellukseksi

IT-järjestelmillä on tärkeä rooli organisaation liiketoiminnassa. Koska organisaation liiketoimintavaatimukset ja strategia muuttuvat ympäröivän maailman mukaan, täytyy järjestelmän arkkitehtuurin sopeutua vallitsevaan tilanteeseen sekä mahdollisiin muutoksiin lyhyellä ja pitkällä aikavälillä. Modernin web-sovelluksen arkkitehtuuri sopeutuu organisaation liiketoiminnan haasteisiin. Erityisesti hallinnolliseksi ongelmaksi organisaatiossa muodostuvat Windows-sovellukset, koska niiden ylläpito sitoo henkilöresursseja ja niiden käyttökonteksti on rajallinen. Tästä syystä organisaatiot ovat käyneet etsimään ratkaisuja kuinka korvata Windows-sovellukset web-sovelluksilla. Kustannustehokas ratkaisu on modernisoida Windows-sovelluksen käyttöliittymä web-sovellukseksi. Tämän diplomityön tavoitteena oli laatia Logica Suomi Oy yritykselle viitearkkitehtuuri Win-dows-sovelluksen käyttöliittymän modernisoimiseksi web-sovellukseksi. Työ suoritettiin Proof of Concept projektissa, jossa modernisointiin Logican pääkäyttäjäsovellus. Työn tarkoituksena oli tunnistaa laajalti käytetyt arkkitehtuurimallit ja menetelmät jotka mahdollistavat modernisoinnin toteutuksen. Lisäksi tarkoitus oli tunnistaa menetelmät ja ohjelmistot jotka mahdollistavat kustannustehokkaan ja laadukkaan web-sovelluksen kehittämisen ja toteuttamisen. Työn osatavoitteena oli laatia modernisoitavan pääkäyttäjäsovelluksen kokonaisarkkitehtuuri. Työn tuloksena saatiin viitearkkitehtuuri jota voidaan käyttää ja hyödyntää ohjelmistokehitysprojekteissa, asiakkaan dokumentaatiossa, myynnissä ja markkinoinnissa. Viitearkkitehtuurissa on esitelty modernit web-teknologiat joilla on mahdollista toteuttaa web-sovellus jonka käyttökokemus vastaa Windows-sovellusta. Lisäksi tuloksena saatiin pääkäyttäjäsovelluksen kokonaisarkkitehtuuri, jonka tärkeimpiä tuloksia ovat modernisoinnin tavoitetila ja sovellusarkkitehtuuri. Tärkeimpiä jatkotoimenpiteitä ovat viitearkkitehtuuriin pohjautuvan modernisointiviitekehyksen laadinta sekä modernisointiprojektin arviointiin käytettävien mittareiden määrittely, suunnittelu ja toteutus. Relevanttien mittareiden avulla voidaan todeta, vastaako modernisoitu sovellus organisaation liiketoimintavaatimuksia ja strategiaa.