Public and private initiatives for regional development : an investigation of knowledge transfer and social entrepreneurship

Otto-von-Guericke-Universität Magdeburg, Fakultät für Wirtschaftswissenschaft, Dissertation, 2016

Knowledge of and attitudes toward sexual and reproductive health among college students

Abstract Introduction: Knowledge provides the foundation for values, attitudes and behavior. Knowledge about sexual and reproductive health (SRH) and positive attitudes are essential for implementing protective behaviors. Objectives: The aim of this study was to evaluate SRH knowledge and attitudes in college students and their association with sexual and reproductive behaviors. Material and methods: A cross-sectional study was conducted in a sample of 1946 college students. The data were collected using a self-report questionnaire on the sociodemographics characteristics of the sample, an inventory on SRH knowledge and an attitude scale, and were analyzed with descriptive and inferential statistics (ANOVA and Pearson’s correlation). Results: The sample was 64% female and 36% male, with a mean age of 21 years. The majority were sexually active and used contraception. The SRH knowledge was moderate (22.27 ± 5.79; maximum score = 44), while the average SRH attitude score was more favorable (118.29 ± 13.92; maximum score = 140). Female and younger students studying life and health sciences had higher (P < .05) SRH knowledge and attitude scores. The consistent use of condom and health care surveillance were highly dependent on the students’ SRH knowledge and attitudes. Engagement in sexual risk behaviors was associated with lower scores for these variables. Conclusions: Strategies to increase SRH knowledge and attitudes are important tools for improving protective behaviors, especially with respect to contraception, health care surveillance and exposure to sexual risk. Older males studying topics other than life sciences should be a priority target for interventions due to their higher sexual risk

Knowledge, perceptions and attitudes on the sexuality of nursing students and teachers

Introduction: The personal attitudes regarding specific aspects of sexuality are of interest to practices of personal concern, as they are to practices inserted in professional roles. General attitudes towards sexuality and sexual health were evaluated. Objectives: To describe the perceptions and attitudes of students and nursing teachers about sexuality. Methods: We used a mixed methods design with a sequential strategy: QUAN→qual of descriptive and explanatory type. 646 students and teachers participated. The Sexual Attitudes Scale (EAS) of Hendrick & Hendrick (Alferes, 1999) and Attitude Scale Address Sexual and Reproductive Health (EAFSSR) of Nemčić et al (Abreu, 2008) were used. Results: There are significant differences in the level of knowledge about sexuality depending on the sample (χ2KW (2)=18.271; p=.000): students of 1st year have lower levels. The profile of the four dimensions of EAS per sample is identical in all 3 samples, having responsibility the highest average value. In subscales EAFSSR per sample and sex there are significant diferences (p<.05) for all samples and uniform pattern was noted: females have higher median values, indicating that they have more favorable attitudes towards sexual health. Conclusions: Sexual attitudes reveal a multidimensional structure based in the female identity, that shows responsibility towards family planning and sexual education, as well as towards individual self-care regarding the body and sexual and reproductive health. An attitudinal profile by gender emerges, accentuating the polarity between male and female. The importance of the training process in nursing following the personal and social development of students is corroborated.

New knowledge, diagnostic and control tools to limit the impact of viral nervous necrosis (VNN) in the Mediterranean aquaculture sector

The role of aquaculture in satisfying the global seafood demand is essential. The expansion of the aquaculture sector and the intensification of its activities have enhanced the circulation of infectious agents. Among these, the nervous necrosis virus (NNV) represents the most widespread in the Mediterranean basin. The NNV is responsible for a severe neuropathological condition named viral nervous necrosis (VNN), impacting hugely on fish farms due to the serious disease-associated losses. Therefore, it is fundamental to develop new strategies to limit the impact of VNN in this area, interconnecting several aspects of disease management, diagnosis and prevention. This PhD thesis project, focusing on aquatic animals’ health, deals with these topics. The first two chapters expand the knowledge on VNN epidemiology and distribution, showing the possibility of interspecies transmission, persistent infections and a potential carrier role for invertebrates. The third study expands the horizon of VNN diagnosis, by developing a quick and affordable multiplex RT-PCR able to detect and simultaneously discriminate between NNV variants, reducing considerably the time and costs of genotyping. The fourth study, with the development of a fluorescent in situ hybridization technique and its application to aquatic vertebrates and invertebrates’ tissues, contributes to expand the knowledge on NNV distribution at cellular level, localizing also the replication site of the virus. Finally, the last study dealing with an in vitro evaluation of the NNV susceptibility to a commercial biocide, stress the importance to implement proper disinfectant procedures in fish farms to prevent virus spread and disease outbreaks.

Delivery Of A Urology Online Course Using Moodle Versus Didactic Lectures Methods.

To subjectively and objectively compare an accessible interactive electronic library using Moodle with lectures for urology teaching of medical students. Forty consecutive fourth-year medical students and one urology teacher were exposed to two teaching methods (4 weeks each) in the form of problem-based learning: - lectures and - student-centered group discussion based on Moodle (modular object-oriented dynamic learning environment) full time online delivered (24/7) with video surgeries, electronic urology cases and additional basic principles of the disease process. All 40 students completed the study. While 30% were moderately dissatisfied with their current knowledge base, online learning course delivery using Moodle was considered superior to the lectures by 86% of the students. The study found the following observations: (1) the increment in learning grades ranged from 7.0 to 9.7 for students in the online Moodle course compared to 4.0-9.6 to didactic lectures; (2) the self-reported student involvement in the online course was characterized as large by over 60%; (3) the teacher-student interaction was described as very frequent (50%) and moderately frequent (50%); and (4) more inquiries and requisitions by students as well as peer assisting were observed from the students using the Moodle platform. The Moodle platform is feasible and effective, enthusing medical students to learn, improving immersion in the urology clinical rotation and encouraging the spontaneous peer assisted learning. Future studies should expand objective evaluations of knowledge acquisition and retention.

O aluno cego: preconceitos e potencialidades

Este artigo analisa a cegueira, os preconceitos a ela associados e as potencialidades de pessoas cegas, especialmente do aluno cego. Salienta a ênfase dada ao sentido da visão no processo de aquisição de conhecimentos e considera os preconceitos comumente associados à capacidade de aprendizagem do cego.

Aparato para experimentação remota do lançamento de projéteis

Num sistema de ensino cada vez mais exigente, a experimentação assume um papel fundamental na aquisição e validação do conhecimento. No ensino da Física, a necessidade de compreender a influência do meio num dado conceito teórico leva a que a experimentação tenha um carácter obrigatório. Neste contexto, surgem três cenários capazes de suportar a aprendizagem dos conceitos teóricos adquiridos. A simulação que faz uso da velocidade e capacidades de cálculo do computador para obter o resultado de uma experiência, a experimentação tradicional em laboratório, na qual o aluno executa, presencialmente, a sua experiência e por último a experimentação remota, que permite a execução de uma experiência real sem a presença física do aluno. Esta dissertação apresenta o projeto de um aparato para experimentação remota do “Lançamento de projéteis”. De forma a providenciar um meio de ensino de Física mais flexível, o aparato desenvolvido permite, aos alunos, a determinação da aceleração da gravidade e o estudo da dependência do movimento de um projétil num conjunto de parâmetros. Este aparato, operado remotamente, é acedido via web, onde primeiramente é reservado um intervalo de tempo. O conjunto de parâmetros (“Bola”, “Altura de lançamento” e “Ângulo de lançamento”) da máquina permite suportar vários cenários de ensino da Física, com diferentes complexidades.

Expert supervision based on cases

The paper focuses on taking advantage of large amounts of data that are systematically stored in plants (by means of SCADA systems), but not exploited enough in order to achieve supervisory goals (fault detection, diagnosis and reconfiguration). The methodology of case base reasoning (CBR) is proposed to perform supervisory tasks in industrial processes by re-using the stored data. The goal is to take advantage of experiences, registered in a suitable structure as cam, avoiding the tedious task of knowledge acquisition and representation needed by other reasoning techniques as expert systems. An outlook of CBR terminology and basic concepts are presented. The adaptation of CBR in performing expert supervisory tasks, taking into account the particularities and difficulties derived from dynamic systems, is discussed. A special interest is focused in proposing a general case definition suitable for supervisory tasks. Finally, this structure and the whole methodology is tested in a application example for monitoring a real drier chamber

Institutionaalinen luottamus - yrityksen ei-henkilöityvä luottamuksen ulottuvuus työntekijän näkökulmasta

Ylläpitääkseen kilpailuetua ja menestyäkseen markkinoilla yritysten tulee teknologisen ja liiketoimintaosaamisen lisäksi hallita tehokas sisäinen toimintansa. Tieto on tärkein tuotannontekijä ja sen jakaminen yrityksessä onkriittistä innovaatioiden syntymisen kannalta. Luottamus edistää tiedon luomista ja jakamista. Luottamusta yrityksissä on tutkittu pääasiassa henkilöiden välisenä luottamuksena omiin esimiehiin ja kollegoihin. Kansainvälisistä omistaja- jamuista yritysjärjestelyistä johtuen yritysten sisäinenkin toiminta on usein maantieteellisesti hajautettua, mikä vähentää henkilöiden välisten luottamussuhteiden syntymistä. Tällaisissa tilanteissa yritykseen itseensä kohdistuva ei-henkilöityvä luottamus täydentää tutkimusten mukaan vähäisiä henkilöiden välisiä luottamussuhteita. Yrityksen ei-henkilöityvää luottamusta on tutkittu vain vähän ja kokonaisvaltaista teoriapohjaista ja/tai empiiristä tutkimusta ei ole tehty tai sitä ei ole raportoitu. Tässä pro gradu -tutkielmassa tutkittiin, mitä yrityksen institutionaalinen luottamus on ja mistä se muodostuu. Tutkielman teoriatausta nousee sosiologian, taloustieteen ja sosiaalipsykologian eri teorioista sekä aikaisemmasta monitieteisestä luottamustutkimuksesta. Empiirinen aineisto kerättiin neljässä fokusryhmäkeskustelussa ja aineisto analysoitiin sekä aineistolähtöisesti että teoriaohjaavasti hyödyntäen ATLAS.ti kvalitatiivisen aineiston analyysiohjelmaa. Työn keskeisenä tuloksena oli teorian ja empirian synteesinä muodostunutyrityksen institutionaalisen luottamuksen määritelmä. Yrityksen institutionaalisella luottamuksella tarkoitetaan yksilön odotuksia työnantajayrityksen kyvykkyydelle ja oikeudenmukaisuudelle. Kyvykkyydellä tarkoitetaan yrityksen havaittua kyvykkyyttä menestyä markkinoilla jatkuvasti ja organisoida sisäinen toimintansa tehokkaasti ja varmasti. Oikeudenmukaisuudella tarkoitetaan koettua oikeudenmukaista henkilöstöpolitiikkaa ja hyvää työnantajamainetta.

Tiedon jakaminen ja organisaation oppiminen

Tutkielman tavoite: Tutkielman tavoitteena oli selvittää sitä, miten tiedon jakaminen vaikuttaa organisaation oppimiseen. Tutkielman teoriaosassa tarkastellaan niitä käsitteitä ja lainalaisuuksia, jotka liittyvät oppimiseen yleensä sekä yksilö- että organisaatiotasolla, oppivaan organisaatioon, tietoon ja sen syntymiseen, virtaukseen, hallintaan, merkitykseen ja johtamiseen. Näiden lisäksi työssä tarkastellaan yksilön motivaatioon vaikuttavia seikkoja, yrityksen arvoja ja kulttuuria. Näiden pohjalta rakentui tutkielman viitekehys. Tutkielman empiriaosassa tarkastellaan viitekehyksen soveltuvuutta käytäntöön analysoimalla Casa-yrityksen toimintaa. Tutkimusaineisto ja tutkimusmenetelmät: Tutkimuksen teoriaosa perustuu suurelta osin sekä oppivaa että älykästä organisaatiota käsittelevään kirjallisuuteen, artikkeleihin ja aikaisempiin tutkimustöihin. Tämän lisäksi teoriaosuudessa perehdytään tiedon johtamiseen ja tiedon jakamiseen sekä tähän kiinteästi liittyvään motivaatioon ja sitoutumiseen. Empiirinen tutkimus toteutettiin kvalitatiivisella puolistrukturoidulla haastattelulla. Haastatteluja oli seitsemän ja kaikki haastateltavat olivat johtavissa tehtävissä. Tutkimuksen tulokset: Empiirisen osan tulokset mukailevat teoreettisin osan tuloksia. Organisaatiossa ei voi tapahtua oppimista ilman tiedon jakamista. Organisaation oppimisen suurimpana esteenä on se, ettei tietoa ja osaamista jaeta organisaation jäsenten kesken. Usein tällaiselta organisaatiolta puuttuvat myös yhteiset tavoitteet, siellä vallitsevat epämääräiset toimintatavat, puutteelliset vuorovaikutustaidot ja huonot henkilöstösuhteet. Organisaation oppimiskykyä heikentävät jäykät ja aikaa vievät rutiinit, kokemuksista ja virheistä ei osata oppia, hitaita muutoksia ei havaita ja kokemustieto unohdetaan. Työntekijän täytyy olla motivoitunut ja organisaatiossa turvallinen henkinen ilmapiiri, jotta tiedon jakamista tapahtuisi. Tieto on valtaa vain jaettuna, koska silloin siitä on mahdollisuus muodostua kilpailuetua yritykselle.

Approximation to the theory of affinities to manage the problems of the groupping process

New economic and enterprise needs have increased the interest and utility of the methods of the grouping process based on the theory of uncertainty. A fuzzy grouping (clustering) process is a key phase of knowledge acquisition and reduction complexity regarding different groups of objects. Here, we considered some elements of the theory of affinities and uncertain pretopology that form a significant support tool for a fuzzy clustering process. A Galois lattice is introduced in order to provide a clearer vision of the results. We made an homogeneous grouping process of the economic regions of Russian Federation and Ukraine. The obtained results gave us a large panorama of a regional economic situation of two countries as well as the key guidelines for the decision-making. The mathematical method is very sensible to any changes the regional economy can have. We gave an alternative method of the grouping process under uncertainty.

Some Aspects of Domain Specific Conceptual Modeling for Simulation of Logistic Terminal Operations

When simulation modeling is used for performance improvement studies of complex systems such as transport terminals, domain specific conceptual modeling constructs could be used by modelers to create structured models. A two stage procedure which includes identification of the problem characteristics/cluster - ‘knowledge acquisition’ and identification of standard models for the problem cluster – ‘model abstraction’ was found to be effective in creating structured models when applied to certain logistic terminal systems. In this paper we discuss some methods and examples related the knowledge acquisition and model abstraction stages for the development of three different types of model categories of terminal systems

Expert supervision based on cases

The paper focuses on taking advantage of large amounts of data that are systematically stored in plants (by means of SCADA systems), but not exploited enough in order to achieve supervisory goals (fault detection, diagnosis and reconfiguration). The methodology of case base reasoning (CBR) is proposed to perform supervisory tasks in industrial processes by re-using the stored data. The goal is to take advantage of experiences, registered in a suitable structure as cam, avoiding the tedious task of knowledge acquisition and representation needed by other reasoning techniques as expert systems. An outlook of CBR terminology and basic concepts are presented. The adaptation of CBR in performing expert supervisory tasks, taking into account the particularities and difficulties derived from dynamic systems, is discussed. A special interest is focused in proposing a general case definition suitable for supervisory tasks. Finally, this structure and the whole methodology is tested in a application example for monitoring a real drier chamber

Informe final creación y evaluación de campo de un instrumento para la medición de las competencias clínicas en Fisioterapia

La evaluación de los procesos formativos en el área clínica, basados en competencias, es fundamental para la Fisioterapia. Este proceso articula la teoría con la práctica, orienta la organización de los procesos académicos, promueve la formación integral y establece mecanismos de retroalimentación permanentes y rigurosos, basados en la evaluación del desempeño del profesional en formación ante situaciones del día a día que dan cuenta de su toma de decisiones profesional. Se espera que los estudiantes se formen y puedan actuar como profesionales competitivos a nivel nacional e internacional, de manera integral, con sólidos compromisos éticos y sociales para responder a las necesidades del entorno social en el que se desenvuelven (PEP, Universidad del Rosario). Los esfuerzos actuales en investigación de la evaluación educativa se encuentran orientados a la integración de la adquisición del conocimiento y al desarrollo de estrategias de medición y cuantificación de capacidades técnico-científicas dentro de cada disciplina. En este sentido, hasta el momento, en Colombia no se encuentra evidencia alrededor de la validación de instrumentos de medición de las competencias clínicas, ni se cuenta con estándares para la evaluación en práctica clínica en el proceso de formación del recurso humano en Fisioterapia. En el proyecto se desarrolló y fueron evaluadas las propiedades psicométricas de un instrumento que mide las competencias clínicas del estudiante de fisioterapia en la práctica clínica. Este proceso involucró a Fisioterapeutas que con experiencia en el área de docencia y clínica, contribuyen con la formación de fisioterapeutas en Colombia.

A hybrid case adaptation approach for case-based reasoning

Case-Based Reasoning is a methodology for problem solving based on past experiences. This methodology tries to solve a new problem by retrieving and adapting previously known solutions of similar problems. However, retrieved solutions, in general, require adaptations in order to be applied to new contexts. One of the major challenges in Case-Based Reasoning is the development of an efficient methodology for case adaptation. The most widely used form of adaptation employs hand coded adaptation rules, which demands a significant knowledge acquisition and engineering effort. An alternative to overcome the difficulties associated with the acquisition of knowledge for case adaptation has been the use of hybrid approaches and automatic learning algorithms for the acquisition of the knowledge used for the adaptation. We investigate the use of hybrid approaches for case adaptation employing Machine Learning algorithms. The approaches investigated how to automatically learn adaptation knowledge from a case base and apply it to adapt retrieved solutions. In order to verify the potential of the proposed approaches, they are experimentally compared with individual Machine Learning techniques. The results obtained indicate the potential of these approaches as an efficient approach for acquiring case adaptation knowledge. They show that the combination of Instance-Based Learning and Inductive Learning paradigms and the use of a data set of adaptation patterns yield adaptations of the retrieved solutions with high predictive accuracy.