Saksan opiskelijasta saksan opettajaksi. Aineenopettajaopiskelijan ammatillinen kasvu ohjatussa harjoitttelussa

Tutkimuksessani tarkastelin, miten ammatillinen kasvu ilmenee saksan opetusharjoittelijoiden näkemyksissä ja toiminnassa opettajan pedagogisiin opintoihin kuuluvan ohjatun harjoittelun aikana. Keräsin tutkimusaineiston lukuvuosina 2007–2010 kaikilta saksan opetusharjoittelijoilta, jotka suorittivat ohjatussa harjoittelussa vähintään 15 op Turun normaalikoulussa. Tutkimusaineistona käytin henkilökohtaisia harjoittelusuunnitelmia (HOPS) ja reflektiovihkoja, jotka ovat ohjatun harjoittelun normaaleja työvälineitä. Täydensin aineistoa ohjatun harjoittelun alussa toteutetulla kyselyllä ja harjoittelun päätteeksi tehdyllä puolistrukturoidulla teemahaastattelulla. Toimin tutkimuksen aikana Turun normaalikoulussa saksan opettajana ja aineryhmän harjoittelusta vastaavana opettajana. Tutkimuskysymykset tarkentuivat aineistolähtöisesti. Ensimmäinen tutkimuskysymys liittyi siihen, miten harjoittelijoiden ideaalit hyvästä vieraan kielen opetuksesta ja henkilökohtaiset tavoitteet toteutuivat ohjatun harjoittelun aikana. Alkukyselyn pohjalta ideaaleiksi nousivat vuorovaikutus ja monipuoliset työtavat, kulttuurin opettaminen, tavoitekielen käyttö luokkakielenä sekä selkeä kieliopin opetus. Tutkimuksessa kävi ilmi, että alkukyselyssä esiin tullut hyvän opettajan tai vieraan kielen opetuksen ideaali ei välttämättä näy opettajaksi opiskelevan HOPSeihin kirjatuissa henkilökohtaisissa tavoitteissa tai toteudu hänen harjoitustunneillaan. Parhaiten opetusharjoittelijat kokivat onnistuneensa vuorovaikutuksen luomisessa oppilaisiin ja opiskelijoihin sekä monipuolisten työtapojen käytössä. Eriyttäminen ja oppimaan oppimisen ohjaaminen koettiin hankalina. Suurin osa harjoittelijoista oli tyytyväisiä siihen, miten he onnistuivat tuomaan kulttuuria opetukseensa, kun taas tavoitekielen käyttö luokkakielenä ja kieliopin opetus koettiin haasteellisiksi. Toisessa tutkimuskysymyksessä tarkasteltiin, millainen ammatillinen näkemys vieraan kielen opiskelijalla on ohjatun harjoittelun jälkeen. Opetusharjoittelijat korostivat opettajan kasvatustyötä ja opettajien välistä yhteistyötä. Ajatus toimia saksan tai vieraan kielen opettajana oli vahvistunut pedagogisten opintojen aikana. Kolmas tutkimuskysymys kohdistui sen selvittämiseen, miten HOPS ja reflektiovihko toimivat harjoittelijoiden kasvun tukena. Harjoittelijoiden kirjallinen itsereflektio vaihteli syvällisistä pohdinnoista niukkiin merkintöihin. Suurimmassa osassa reflektiovihoista harjoittelijat olivat miettineet palautteissa esille tulleita asioita. HOPS ja reflektiovihko ovat tämän tutkimuksen perusteella toimivia harjoittelun ohjauksen välineitä, kunhan harjoittelijoita ohjataan niiden käytössä. Itsereflektion merkityksen puolesta puhuu se, että harjoittelijat, jotka olivat myös kirjallisesti pohtineet saksan käyttöä luokkakielenä, olivat muita tyytyväisempiä siihen, miten he kokivat onnistuneensa luokkakielen käytössä.

Using aster multispectral imagery for mapping woody invasive species in pico da vara natural reserve (Azores Islands, Portugal)

This paper aims to assess the effectiveness of ASTER imagery to support the mapping of Pittosporum undulatum, an invasive woody species, in Pico da Vara Natural Reserve (S. Miguel Island, Archipelago of the Azores, Portugal). This assessment was done by applying K-Nearest Neighbor (KNN), Support Vector Machine (SVM) and Maximum Likelihood (MLC) pixel-based supervised classifications to 4 different geographic and remote sensing datasets constituted by the Visible, Near-Infrared (VNIR) and Short Wave Infrared (SWIR) of the ASTER sensor and by digital cartography associated to orography (altitude and "distance to water streams") of which the spatial distribution of Pittosporum undulatum directly depends. Overall, most performed classifications showed a strong agreement and high accuracy. At targeted species level, the two higher classification accuracies were obtained when applying MLC and KNN to the VNIR bands coupled with auxiliary geographic information use. Results improved significantly by including ecology and occurrence information of species (altitude and distance to water streams) in the classification scheme. These results show that the use of ASTER sensor VNIR spectral bands, when coupled to relevant ancillary GIS data, can constitute an effective and low cost approach for the evaluation and continuous assessment of Pittosporum undulatum woodland propagation and distribution within Protected Areas of the Azores Islands.

Mapping of summer crops in the State of Paraná, Brazil, through the 10-day spot vegetation NDVI composites

The search for low subjectivity area estimates has increased the use of remote sensing for agricultural monitoring and crop yield prediction, leading to more flexibility in data acquisition and lower costs comparing to traditional methods such as census and surveys. Low spatial resolution satellite images with higher frequency in image acquisition have shown to be adequate for cropland mapping and monitoring in large areas. The main goal of this study was to map the Summer crops in the State of Paraná, Brazil, using 10-day composition of NDVI SPOT Vegetation data for 2005/2006, 2006/2007 and 2007/2008 cropping seasons. For this, a supervised digital classification method with Parallelepiped algorithm in multitemporal RGB image composites was used, in order to generate masks of Summer cultures for each 10-day composition. Accuracy assessment was performed using Kappa index, overall accuracy and Willmott's concordance index, resulting in good levels of accuracy. This methodology allowed the accomplishment, with free and low resolution data, of the mapping of Summer cultures at State level.

Detection of soybean planted areas through orbital images based on culture spectral dynamics

The soybean is important to the economy of Brazil, so the estimation of the planted area and the production with higher antecedence and reliability becomes essential. Techniques related to Remote Sensing may help to obtain this information at lower cost and less subjectivity in relation to traditional surveys. The aim of this study is to estimate the planted area with soybean culture in the crop of 2008/2009 in cities in the west of the state of Paraná, in Brazil, based on the spectral dynamics of the culture and through the use of the specific system of analysis for images of Landsat 5/TM satellite. The obtained results were satisfactory, because the classification supervised by Maximum Verisimilitude - MaxVer along with the techniques of the specific system of analysis for satellite images has allowed an estimate of soybean planted area (soybean mask), obtaining values ​​of the metrics of Global Accuracy with an average of 79.05% and Kappa Index over 63.50% in all cities. The monitoring of a reference area was of great importance for determining the vegetative phase in which the culture is more different from the other targets, facilitating the choice of training samples (ROIs) and avoiding misclassifications.

Mapping of use and occupation of the soil and irrigation water quality in the city of Salto do Lontra-Paraná, Brazil

The objective of this study consisted on mapping the use and soil occupation and evaluation of the quality of irrigation water used in Salto do Lontra, in the state of Paraná, Brazil. Images of the satellite SPOT-5 were used to perform the supervised classification of the Maximum Likelihood algorithm - MAXVER, and the water quality parameters analyzed were pH, EC, HCO3-, Cl-, PO4(3-), NO3-, turbidity, temperature and thermotolerant coliforms in two distinct rainfall periods. The water quality data were subjected to statistical analysis by the techniques of PCA and FA, to identify the most relevant variables in assessing the quality of irrigation water. The characterization of soil use and occupation by the classifier MAXVER allowed the identification of the following classes: crops, bare soil/stubble, forests and urban area. The PCA technique applied to irrigation water quality data explained 53.27% of the variation in water quality among the sampled points. Nitrate, thermotolerant coliforms, temperature, electrical conductivity and bicarbonate were the parameters that best explained the spatial variation of water quality.

Geostatistics and remote sensing methods in the classification of images of areas cultivated with citrus

This study compares the precision of three image classification methods, two of remote sensing and one of geostatistics applied to areas cultivated with citrus. The 5,296.52ha area of study is located in the city of Araraquara - central region of the state of São Paulo (SP), Brazil. The multispectral image from the CCD/CBERS-2B satellite was acquired in 2009 and processed through the Geographic Information System (GIS) SPRING. Three classification methods were used, one unsupervised (Cluster), and two supervised (Indicator Kriging/IK and Maximum Likelihood/Maxver), in addition to the screen classification taken as field checking.. Reliability of classifications was evaluated by Kappa index. In accordance with the Kappa index, the Indicator kriging method obtained the highest degree of reliability for bands 2 and 4. Moreover the Cluster method applied to band 2 (green) was the best quality classification between all the methods. Indicator Kriging was the classifier that presented the citrus total area closest to the field check estimated by -3.01%, whereas Maxver overestimated the total citrus area by 42.94%.

Using fraction images derived from modis data for coffee crop mapping

Coffee production was closely linked to the economic development of Brazil and, even today, coffee is an important product of the national agriculture. The State of Minas Gerais currently accounts for 52% of the whole coffee area in Brazil. Remote sensing data can provide information for monitoring and mapping of coffee crops, faster and cheaper than conventional methods. In this context, the objective of this study was to assess the effectiveness of coffee crop mapping in Monte Santo de Minas municipality, Minas Gerais State, Brazil, from fraction images derived from MODIS data, in both dry and rainy seasons. The Spectral Linear Mixing Model was used to derive fraction images of soil, coffee, and water/shade. These fraction images served as input data for the supervised automatic classification using the SVM - Support Vector Machine approach. The best results concerning Overall Accuracy and Kappa Index were obtained in the classification of the dry season, with 67% and 0.41, respectively.

Filosofinen materialismi, nyt

Kirjallisuusarvostelu

Palveluliiketoiminnan kehittäminen tuoteorientoituneessa teollisuuden yrityksessä

Työn tavoitteina oli (1) laatia prosessimalli teollisuuden palveluliiketoiminnan mahdollisuuksien kartoittamiseen sekä (2) rakentaa tuoteorientoituneelle yritykselle soveltuva palveluliiketoimintapolku, jota seuraamalla tunnistettu palveluliiketoiminnan potentiaali pystytään muuntamaan tulokselliseksi liiketoiminnaksi. Diplomityö toteutettiin Savonia-ammattikorkeakoulun hallinnoiman LEKA-hankkeen palveluliiketoiminnan tutkimusalueelle Pohjois-Savon teollisuusyrityssektorin tarpeet huomioiden. Työn teoreettisessa osiossa tarkasteltiin teollisuuden palveluliiketoiminnan perusteita, palveluliiketoiminnan kehittämistä tuoteorientoituneen yrityksen näkökulmasta sekä tunnettuja palvelujen kehittämisprosesseja ja työkaluja erityisesti konseptoinnin osalta. Empiirinen osuus keskittyi palveluliiketoiminnan kehittämiseen tapaustutkimuskohteena toimineessa tuoteorientoituneessa yrityksessä. Tutkimuksen tuloksena syntyi tapauskohtaisesti räätälöityvä konseptointiprosessimalli työkaluineen. Asiakkaat, työntekijät ja verkostokumppanit osallistuttavalla prosessilla palveluliiketoiminnan mahdollisuudet pystytään selvittämään luotettavasti riskit minimoiden. Lisäksi työn tuloksena luotiin tuoteorientoituneille yrityksille soveltuva palveluliiketoiminnan kehittämispolku, jossa palvelukonseptit toimivat alustana polun eri vaiheissa tehtäville päätöksille ja valinnoille sekä tarvittaville muutostoimenpiteille.

Conservative Treatment of Stress Urinary Incontinence: A Systematic Review with Meta-analysis of Randomized Controlled Trials

We performed a systematic review and meta-analysis of randomized controlled trials that studied the conservative management of stress urinary incontinence (SUI). There were 1058 results after the initial searches, from which 37 studies were eligible according to previously determined inclusion criteria. For the primary outcomes, pelvic floor muscle training (PFMT) was more efficacious than no treatment in improving incontinence-specific quality of life (QoL) scales (SMD = [1]1.24SDs; CI 95% = [1]1.77 to [1]0.71SDs). However, its effect on pad tests was imprecise. Combining biofeedback with PFMT had an uncertain effect on QoL (MD = [1]4.4 points; CI 95% = [1]16.69 to 7.89 points), but better results on the pad test, although with elevated heterogeneity (MD = 0.9g; 95%CI = 0.71 to 1,10g); group PFMT was not less efficacious than individual treatment, and home PFMT was not consistently worse than supervised PFMT. Both intravaginal and superficial electrical stimulation (IES and SES) were better than no treatment for QoL and pad test. Vaginal cones had mixed results. The association of IES with PFMT may improve the efficacy of the latter for QoL and pad test, but the results of individual studies were not consistent. Thus, there is evidence of the use of PFMT on the treatment of SUI, with and without biofeedback.

Hiljaisen tiedon siirtämisen prosessi mentoroinnissa – näkökulmana kognitiivinen oppipoikamalli

Hiljainen tieto muodostaa organisaatioiden keskeisen kilpailutekijän, sillä sitä on vaikea kopioida. Hiljaista tietoa pyritään siirtämään erilaisia osaamisen kehittämisen menetelmiä hyödyntäen. Tässä tutkielmassa tutkitaan, miten hiljaista tietoa siirretään mentoroinnissa. Mentorointiin liittyvissä tutkimuksissa ei ole tutkittu sitä vuorovaikutukseen perustuvaa prosessia, jonka aikana hiljaista tietoa siirretään mentorilta aktorille. Tämä tutkielma toi lisää tietoa tähän tutkimusaukkoon. Tutkielman teoreettisessa osiossa esiteltiin kolme näkökulmaa, jotka muo-dostivat tutkielman viitekehyksen: hiljainen tieto ja sen siirtäminen, mentorointi sekä kognitiivinen oppipoikamalli. Tutkimusmenetelmänä käytettiin fenomenografista tapaustutkimusta. Tutkimuksen kohderyhmän muodostivat neljä mentori-aktori –paria, joita haastateltiin teemahaastattelulla. Empiiriset tulokset osoittivat, että hiljaisen tiedon siirtäminen mentoroinnissa tapahtui kognitiivisen oppipoikamallin vaiheita hyödyntäen. Kaikki kognitiivisen oppipoikamallin vaiheet esiintyivät mentorointiprosessissa. Siirrettävässä hiljaisessa tiedossa näyttäytyivät tiedon toiminnallinen, situationaalinen ja sosiaalinen luonne. Keskeisimmiksi hiljaisen tiedon siirtämisen menetelmiksi osoittautuivat mentorin läsnäolo, kuuntelu, kysymysten tekeminen ja aktorin oivalluttaminen. Tutkielman keskeisenä tuloksena ja toimenpide-ehdotuksena esitettiin hiljaisen tiedon siirtämisen malli mentoroinnissa, joka kehitettiin tutkimuksen teoreettisen viitekehyksen ja tutkimuksesta saatujen tulosten pohjalta.

Non-Linear Unsteady Aerodynamic Response Approximation Using Multi-Layer Functionals

Non-linear functional representation of the aerodynamic response provides a convenient mathematical model for motion-induced unsteady transonic aerodynamic loads response, that accounts for both complex non-linearities and time-history effects. A recent development, based on functional approximation theory, has established a novel functional form; namely, the multi-layer functional. For a large class of non-linear dynamic systems, such multi-layer functional representations can be realised via finite impulse response (FIR) neural networks. Identification of an appropriate FIR neural network model is facilitated by means of a supervised training process in which a limited sample of system input-output data sets is presented to the temporal neural network. The present work describes a procedure for the systematic identification of parameterised neural network models of motion-induced unsteady transonic aerodynamic loads response. The training process is based on a conventional genetic algorithm to optimise the network architecture, combined with a simplified random search algorithm to update weight and bias values. Application of the scheme to representative transonic aerodynamic loads response data for a bidimensional airfoil executing finite-amplitude motion in transonic flow is used to demonstrate the feasibility of the approach. The approach is shown to furnish a satisfactory generalisation property to different motion histories over a range of Mach numbers in the transonic regime.

Pennförare i periferin : österbottniska sockenskrivare 1721-1868

Modern research on literacy, the scriptualization of the administration and the interaction between the governing and the governed as part of the political culture, has brought to the fore the issue of different scripts and their terms. The present dissertation focuses on the parish scribes in the county of Ostrobothnia during the period 1721–1868. The peasantry had been given the right to pay parish scribes in 1624. The parish scribes who were to assist the peasants in connection with the collection of taxes simultaneously supervised the bailiffs who collected the taxes. Their writing skills made the scribes indispensable also in many other contexts. In Ostrobothnia, the peasantry had use for parish scribes, who worked as mediators between Swedish and Finnish, between the oral and the written and vice versa. The aim of this dissertation is on the one hand to explore the recruitment of parish scribes, and on the other to examine the parish scribes as a professional and social group. The parish scribes’ significance for the peasantry in everyday life, local decision-making and in connection with political processes will be analyzed by examining their work and professional activities. The recruitment of parish scribes and has been analyzed as a decision process where different actors were able to influence the election. The parish scribes’ competence requirements and terms of employment have been analyzed. The parish scribes as a professional body or a social group has not previously been explored. The examination of the 154 parish scribes as a professional and social group has been carried out in the form of a collective biography. Parish scribes’ tasks originally consisted of the collection of taxes, but the duties within the parish administration increased in the eighteenth and nineteenth centuries. The private writing assignments consisted of many different documents: bills of sale, probate inventories and estate distributions, wills, land tenancy agreements, life annuity and crofter agreements, promissory notes, auction records and different survey documents. The interaction with state power has been analyzed by examining five political decision-making processes that the peasants actively participated in.

Possibility of press forming wood films into primary packaging

In recent times the packaging industry is finding means to maximize profit. Wood used to be the most advantageous and everyday material for packaging, worktables, counters, constructions, interiors, tools and as materials and utensils in the food companies in the world. The use of wood has declined vigorously, and other materials like plastic, ceramic, stainless steel, concrete, and aluminum have taken its place. One way that the industry could reduce its cost is by finding possibilities of using wood for primary packaging after which it can be safely recycled or burned as a carbon source for energy. Therefore, the main objective of this thesis is to investigate the possibility of press-forming a wood film into primary packaging. In order to achieve the stated objectives, discussion on major characteristics of wood in terms of structure, types and application were studied. Two different wood species, pine and birch were used for the experimental work. These were provided by a local carpentry workshop in Lappeenranta and a workshop in Ruokolahti supervised by Professor Timo Kärki. Laboratory tests were carried out at Lappeenranta University of Technology FMS workshop on Stenhøj EPS40 M hydraulic C-frame press coupled with National Instruments VI Logger and on the Adjustable packaging line machine at LUT Packaging laboratory. The tests succeeded better on the LUT packaging line than on the Stenhoj equipment due to the integrated heating system in the machine. However, there is much work to be done before the quality of a tray produced from the wood film is comparable to that of the wood plastic composite tray.

Deep generative models for facial keypoints detection

A new area of machine learning research called deep learning, has moved machine learning closer to one of its original goals: artificial intelligence and general learning algorithm. The key idea is to pretrain models in completely unsupervised way and finally they can be fine-tuned for the task at hand using supervised learning. In this thesis, a general introduction to deep learning models and algorithms are given and these methods are applied to facial keypoints detection. The task is to predict the positions of 15 keypoints on grayscale face images. Each predicted keypoint is specified by an (x,y) real-valued pair in the space of pixel indices. In experiments, we pretrained deep belief networks (DBN) and finally performed a discriminative fine-tuning. We varied the depth and size of an architecture. We tested both deterministic and sampled hidden activations and the effect of additional unlabeled data on pretraining. The experimental results show that our model provides better results than publicly available benchmarks for the dataset.