Fem sportsmäns resa till kontinenten, berättad af två af dem: sommarminnen och dagboksblad

Lisäpainokset: 2. p. 1886 (181 s.).

Fem sportsmäns resa till kontinenten, berättad af två af dem: sommarminnen och dagboksblad

Lisäpainokset: 2. p. 1886 (181 s.).

Lebesgue and Sobolev spaces with variable exponents

Kirjallisuusarvostelu

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.

Semantic and fuzzy modelling for human behaviour recognition in smart spaces : a case study on ambient assisted living.

Human activity recognition in everyday environments is a critical, but challenging task in Ambient Intelligence applications to achieve proper Ambient Assisted Living, and key challenges still remain to be dealt with to realize robust methods. One of the major limitations of the Ambient Intelligence systems today is the lack of semantic models of those activities on the environment, so that the system can recognize the speci c activity being performed by the user(s) and act accordingly. In this context, this thesis addresses the general problem of knowledge representation in Smart Spaces. The main objective is to develop knowledge-based models, equipped with semantics to learn, infer and monitor human behaviours in Smart Spaces. Moreover, it is easy to recognize that some aspects of this problem have a high degree of uncertainty, and therefore, the developed models must be equipped with mechanisms to manage this type of information. A fuzzy ontology and a semantic hybrid system are presented to allow modelling and recognition of a set of complex real-life scenarios where vagueness and uncertainty are inherent to the human nature of the users that perform it. The handling of uncertain, incomplete and vague data (i.e., missing sensor readings and activity execution variations, since human behaviour is non-deterministic) is approached for the rst time through a fuzzy ontology validated on real-time settings within a hybrid data-driven and knowledgebased architecture. The semantics of activities, sub-activities and real-time object interaction are taken into consideration. The proposed framework consists of two main modules: the low-level sub-activity recognizer and the high-level activity recognizer. The rst module detects sub-activities (i.e., actions or basic activities) that take input data directly from a depth sensor (Kinect). The main contribution of this thesis tackles the second component of the hybrid system, which lays on top of the previous one, in a superior level of abstraction, and acquires the input data from the rst module's output, and executes ontological inference to provide users, activities and their in uence in the environment, with semantics. This component is thus knowledge-based, and a fuzzy ontology was designed to model the high-level activities. Since activity recognition requires context-awareness and the ability to discriminate among activities in di erent environments, the semantic framework allows for modelling common-sense knowledge in the form of a rule-based system that supports expressions close to natural language in the form of fuzzy linguistic labels. The framework advantages have been evaluated with a challenging and new public dataset, CAD-120, achieving an accuracy of 90.1% and 91.1% respectively for low and high-level activities. This entails an improvement over both, entirely data-driven approaches, and merely ontology-based approaches. As an added value, for the system to be su ciently simple and exible to be managed by non-expert users, and thus, facilitate the transfer of research to industry, a development framework composed by a programming toolbox, a hybrid crisp and fuzzy architecture, and graphical models to represent and con gure human behaviour in Smart Spaces, were developed in order to provide the framework with more usability in the nal application. As a result, human behaviour recognition can help assisting people with special needs such as in healthcare, independent elderly living, in remote rehabilitation monitoring, industrial process guideline control, and many other cases. This thesis shows use cases in these areas.

Isolation and Characterization of Ovomucin - a Bioactive Agent of Egg White

The hen’s egg is a source of new life. Therefore, it contains many biologically active compounds. In addition to being a very nutritious food and also commonly used in the food industry due to its many techno-functional properties, the egg can serve as a source of compounds used as nutra-, pharmaand cosmeceuticals. One such interesting compound is ovomucin, an egg white protein responsible for the gel-like properties of thick egg white. Previous studies have indicated that ovomucin and ovomucin-derived peptides have several different bioactive properties. The objectives of the present study were to develop isolation methods for ovomucin, to characterize the structure of ovomucin, to compare various egg fractions as sources of ovomucin, to study the effects of various dissolving methods for ovomucin, and to investigate the bioactive properties of ovomucin and ovomucin-derived peptides. A simple and rapid method for crude ovomucin separation was developed. By using this method crude ovomucin was isolated within hours, compared to the 1-2 days (including a dialysis step) needed when using several other methods. Structural characterization revealed that ovomucin is composed of two subunits, α- and β-ovomucin, as egg white protein formerly called α1-ovomucin seemed to be ovostatin. However, it might be possible that ovostatin is associated within β- and α-ovomucin. This interaction could even have some effect on the physical nature of various egg white layers. Although filtration by-product fraction was a very prominent source of both crude and β-ovomucin, process development has reduced its amount so significantly that it has no practical meaning anymore. Thus, the commercial liquid egg white is probably the best option, especially if it generally contains amounts of β-ovomucin as high as were found in these studies. Crude ovomucin was dissolved both by using physical and enzymic methods. Although sonication was the most effective physical method for ovomucin solubilisation, colloid milling seemed to be a very promising alternative. A milk-like, smooth and opaque crude ovomucin suspension was attained by using a colloid mill. The dissolved ovomucin fractions were further tested for bioactive properties, and it was found that three dissolving methods tested produced moderate antiviral activity against Newcastle disease virus, namely colloid milling, enzymatic hydrolysis and a combination of sonicaton and enzymatic hydrolysis. Moreover, trypsin-digested crude ovomucin was found to have moderate antiviral activity against avian influenza virus: both subtype H5 and H7.

Epäonnistunut sodanjulistus ja pullantuoksuiset äidit : hyvä äitiys Äitien Sota -tv-sarjassa

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