Del af Ryssland som uptager trakten emellan och omkring Petersburg och Moskau

Kartta kuuluu A. E. Nordenskiöldin kokoelmaan

Carta öfver de uptäckter som blifvit giorde 1765, 67 ock 69, uti Söder Hafvet

Kartta kuuluu A. E. Nordenskiöldin kokoelmaan

Slöjd som process och produkt : Talking Tools som dokumentations- och utvärderingsverktyg

Syftet med denna studie är att granska hur användningen av smarttelefoner kan stöda elevens reflektion av sin egen slöjdprocess och samtidigt se hur eleven dokumenterar sin slöjdprocess med hjälp av Talking Tools (TT). Fokus i denna studie ligger på dokumentation av elevens slöjdprocess, men jag behandlar även presentation av slöjdprodukter och olika möjligheter till och sätt på hur eleverna använder TT på en smarttelefon i slöjdundervisningen. En förändring i hur informations- och kommunikationsteknik (IKT) används sker och kommer även att ske i fortsättningen i grundskolan. Då en ny läroplan för den grundläggande utbildningen tas i bruk år 2016 kommer IKT att ha en avsevärt större roll. Denna förändring lägger press på lärare och på skolan överlag för att skapa ändamålsenliga metoder i användningen av IKT. Studien baserar sig på intervjuer med elever som använt TT under ett arbetsområde i slöjden. Elva elever presenterade först sina slöjdprodukter för forskaren varefter eleverna intervjuades. Eleverna hade tillgång till sina slöjdbloggar gjorda i TT under intervjutillfällena. Intervjuerna filmades och lades ihop med bloggarna för att förenkla analysen av materialet. I den här undersökningen framkom att dokumentationen av slöjdprocessen bidrog till en reflektion av när bilder och texter från bloggarna användes under presentationerna. Då kraven på dokumenteringen av arbetet i skolan blir högre i och med läroplanen 2016 tror jag att Talking Tools kan vara ett hjälpmedel för elever och lärare i förverkligandet av bland annat användningen av IKT i arbetet i skolan. Detta förutsätter att eleverna ges tid för användningen samt att tekniken fungerar.

Medborgare, brukare av välfärd eller klient? : en jämförande studie om brukarens inflytande mellan en kommun, ett assistansbolag och ett brukarkooperativ som utför personlig assistans

The focus of this licentiate dissertation is to produce a better understanding of how we may give citi-zen as users a stronger influence over their welfare services and in the long run help to democratize the welfare state. The aim of this project is to analyze what kind of influence a user with a functional dis-order may have in different organizational contexts over his or her personal assistance. This study focuses on the influence a user may have over his or her welfare service, personal assis-tance. A municipality, an assistance firm and a user cooperative are compared with the thesis that the organization that surrounds the users shapes the possibilities the user have to influence his or her per-sonal assistance. The major thesis is thus: Participatory democracy as a model or approach may function differently when the services are delivered in a different way by different organizations – varying organizational forms. There are questions that try to answer if there are outspoken social goals within each organization. Questions regarding influence of the user when she or he is choosing the assistance provider and the users possibility to influence and his or her power to decide who and when anyone works as an assis-tant are asked. The results indicate that there are different sets of internal logic within the organizations that affect their goals and level of user influence. Within the user cooperative the user is considered a citizen and as a user expected to handle the role as work leader for his or her personal assistants. However the user is also a citizen and is expected within the usercooperative to act as a member and citizen to have po-litical influence. The usercooperative aims at influencing the political policy process regarding ques-tions concerning the rights of persons with disabilities. This gives the user a part in collective action as a member of the usercooperative. The other producers of personal assistance, the municipality and the assistance firm gives in this study a similar result as they give the user of personal assistance quite similar models for user influence within the respective organization. Within these organizations the user have chosen to let the organiza-tions handle the role of work leader in the written agreements with the producer and thereby the influ-ence they may have in practice is not so much a case of self-determination as a case of co-influence. The user can be seen as a user within a municipality, a client or consumer within the assistance firm and a citizen within the usercooperative. The results indicate the need for future research where co-production, institutional logic and development of democratic theory through democratic innovations are central aspects of future research.

Elevers förväntningar på och uppfattningar av övergången från årskurs 6 till årskurs 7 : en kvalitativ studie som beskriver och jämför elever från två olika grundskolor

Den grundläggande utbildningen (F–9) ska i Finland ses som en enda helhet och grundskolan kan vara uppbyggd så att årskurserna F–9 finns inom samma skolkomplex, här kallad för en sammanhållen grundskola, eller också kan årskurserna F–6 och 7–9 finnas i olika skolkomplex, här kallad för en åtskild grundskola. Enligt Grunderna för läroplanen för den grundläggande utbildningen 2004 ska förskolan förbereda eleverna inför årskurserna 1–2 och årskurserna 8–9 ska förereda eleverna inför eventuella andra studier. Men hur ser elever på övergången från årskurs 6 till årskurs 7 beroende på i vad för slags grundskola de går i? Avhandlingens övergripande syfte är att beskriva elevers förväntningar på och uppfattningar av övergången från årskurs 6 till 7. Fokus ligger både på övergången överlag men också på skolengelska, eftersom engelska språket idag ses som ett internationellt språk. Därtill är syftet att jämföra elever från en sammanhållen grundskola med elever från en åtskild grundskola. Följande forskningsfrågor är formulerade för att uppnå avhandlingens syfte: 1. Vilka förväntningar har eleverna i årskurs 6 på övergången från årskurs 6 till årskurs 7? 2. Vilka uppfattningar har samma elever i årskurs 7 av övergången från årskurs 6 till årskurs 7? 3. Vilka likheter och skillnader finns det i elevernas förväntningar på och uppfattningar av övergången överlag och skolengelska beroende på om de går i en sammanhållen grundskola eller i en åtskild grundskola? Undersökningen är utförd i Svenskfinland och datainsamlingsmetoden är kvalitativ intervju. Den första intervjun genomfördes när eleverna gick i slutet av årskurs 6 och sedan intervjuades samma elever, för andra gången, när de hade gått cirka tre månader i årskurs 7. Sammanlagt intervjuades tio elever, fem elever från en sammanhållen grundskola och fem elever från en åtskild grundskola. Resultaten visade både på likheter och på skillnader mellan elevuttalandena från de olika grundskolorna. Det visade sig att de tydligaste likheterna fanns i själva ämnet skolengelska, hur eleverna förväntade sig att det skulle bli och hur det sedan upplevdes, medan de tydligaste skillnaderna mellan grundskolorna framkom i de sociala aspekterna av övergången från årskurs 6 till 7, där det förekom både positiva och negativa uppfattningar angående övergången.

Automated grading of left ventricular segmental wall motion by an artificial neural network using color kinesis images

The present study describes an auxiliary tool in the diagnosis of left ventricular (LV) segmental wall motion (WM) abnormalities based on color-coded echocardiographic WM images. An artificial neural network (ANN) was developed and validated for grading LV segmental WM using data from color kinesis (CK) images, a technique developed to display the timing and magnitude of global and regional WM in real time. We evaluated 21 normal subjects and 20 patients with LVWM abnormalities revealed by two-dimensional echocardiography. CK images were obtained in two sets of viewing planes. A method was developed to analyze CK images, providing quantitation of fractional area change in each of the 16 LV segments. Two experienced observers analyzed LVWM from two-dimensional images and scored them as: 1) normal, 2) mild hypokinesia, 3) moderate hypokinesia, 4) severe hypokinesia, 5) akinesia, and 6) dyskinesia. Based on expert analysis of 10 normal subjects and 10 patients, we trained a multilayer perceptron ANN using a back-propagation algorithm to provide automated grading of LVWM, and this ANN was then tested in the remaining subjects. Excellent concordance between expert and ANN analysis was shown by ROC curve analysis, with measured area under the curve of 0.975. An excellent correlation was also obtained for global LV segmental WM index by expert and ANN analysis (R² = 0.99). In conclusion, ANN showed high accuracy for automated semi-quantitative grading of WM based on CK images. This technique can be an important aid, improving diagnostic accuracy and reducing inter-observer variability in scoring segmental LVWM.

Modeling a Network of Heat Exchangers

This research work addresses the problem of building a mathematical model for the given system of heat exchangers and to determine the temperatures, pressures and velocities at the intermediate positions. Such model could be used in nding an optimal design for such a superstructure. To limit the size and computing time a reduced network model was used. The method can be generalized to larger network structures. A mathematical model which includes a system of non-linear equations has been built and solved according to the Newton-Raphson algorithm. The results obtained by the proposed mathematical model were compared with the results obtained by the Paterson approximation and Chen's Approximation. Results of this research work in collaboration with a current ongoing research at the department will optimize the valve positions and hence, minimize the pumping cost and maximize the heat transfer of the system of heat exchangers.

Blastocyst-endometrium interaction: intertwining a cytokine network

The successful implantation of the blastocyst depends on adequate interactions between the embryo and the uterus. The development of the embryo begins with the fertilized ovum, a single totipotent cell which undergoes mitosis and gives rise to a multicellular structure named blastocyst. At the same time, increasing concentrations of ovarian steroid hormones initiate a complex signaling cascade that stimulates the differentiation of endometrial stromal cells to decidual cells, preparing the uterus to lodge the embryo. Studies in humans and in other mammals have shown that cytokines and growth factors are produced by the pre-implantation embryo and cells of the reproductive tract; however, the interactions between these factors that converge for successful implantation are not well understood. This review focuses on the actions of interleukin-1, leukemia inhibitory factor, epidermal growth factor, heparin-binding epidermal growth factor, and vascular endothelial growth factor, and on the network of their interactions leading to early embryo development, peri-implantatory endometrial changes, embryo implantation and trophoblast differentiation. We also propose therapeutical approaches based on current knowledge on cytokine interactions.

Artificial neural network models for predicting 1-year mortality in elderly patients with intertrochanteric fractures in China

The mortality rate of older patients with intertrochanteric fractures has been increasing with the aging of populations in China. The purpose of this study was: 1) to develop an artificial neural network (ANN) using clinical information to predict the 1-year mortality of elderly patients with intertrochanteric fractures, and 2) to compare the ANN's predictive ability with that of logistic regression models. The ANN model was tested against actual outcomes of an intertrochanteric femoral fracture database in China. The ANN model was generated with eight clinical inputs and a single output. ANN's performance was compared with a logistic regression model created with the same inputs in terms of accuracy, sensitivity, specificity, and discriminability. The study population was composed of 2150 patients (679 males and 1471 females): 1432 in the training group and 718 new patients in the testing group. The ANN model that had eight neurons in the hidden layer had the highest accuracies among the four ANN models: 92.46 and 85.79% in both training and testing datasets, respectively. The areas under the receiver operating characteristic curves of the automatically selected ANN model for both datasets were 0.901 (95%CI=0.814-0.988) and 0.869 (95%CI=0.748-0.990), higher than the 0.745 (95%CI=0.612-0.879) and 0.728 (95%CI=0.595-0.862) of the logistic regression model. The ANN model can be used for predicting 1-year mortality in elderly patients with intertrochanteric fractures. It outperformed a logistic regression on multiple performance measures when given the same variables.

Transduction motif analysis of gastric cancer based on a human signaling network

To investigate signal regulation models of gastric cancer, databases and literature were used to construct the signaling network in humans. Topological characteristics of the network were analyzed by CytoScape. After marking gastric cancer-related genes extracted from the CancerResource, GeneRIF, and COSMIC databases, the FANMOD software was used for the mining of gastric cancer-related motifs in a network with three vertices. The significant motif difference method was adopted to identify significantly different motifs in the normal and cancer states. Finally, we conducted a series of analyses of the significantly different motifs, including gene ontology, function annotation of genes, and model classification. A human signaling network was constructed, with 1643 nodes and 5089 regulating interactions. The network was configured to have the characteristics of other biological networks. There were 57,942 motifs marked with gastric cancer-related genes out of a total of 69,492 motifs, and 264 motifs were selected as significantly different motifs by calculating the significant motif difference (SMD) scores. Genes in significantly different motifs were mainly enriched in functions associated with cancer genesis, such as regulation of cell death, amino acid phosphorylation of proteins, and intracellular signaling cascades. The top five significantly different motifs were mainly cascade and positive feedback types. Almost all genes in the five motifs were cancer related, including EPOR,MAPK14, BCL2L1, KRT18,PTPN6, CASP3, TGFBR2,AR, and CASP7. The development of cancer might be curbed by inhibiting signal transductions upstream and downstream of the selected motifs.