Ihmisperäisten biologisten näytteiden käyttö lääketieteellisessä tutkimuksessa

English summary: Use of human biological samples in medical research (s. 852)

Tietokoneohjelmien rajapintojen tekijänoikeussuoja

English summary: Copyright protection of computer program interfaces (s. 852-853)

The Effects of Endocrine Disrupters on Fetal Male Rat Testicular and Adrenal Development

Many of the reproductive disorders that emerge in adulthood have their origin during fetal development. Numerous studies have demonstrated that exposure to endocrine disrupting chemicals can permanently affect the reproductive health of experimental animals. In mammals, male sexual differentiation and development are androgen-dependent processes. In rat, the critical programming window for masculinization occurs between embryonic days (EDs) 15.5 and 19.5. Disorders in sex steroid balance during fetal life can disturb the development of the male reproductive tract. In addition to the fetal testis, the adrenal cortex starts to produce steroid hormones before birth. Glucocorticoids produced by the adrenal cortex are essential for preparing the fetus for birth. In the present study, the effects of exposure to endocrine disrupters on fetal male rat testicular and adrenal development were investigated. To differentiate the systemic and direct testicular effects of endocrine disrupters, both in vivo and in vitro experiments were performed. The present study also clarified the role of desert hedgehog signalling (Dhh) in the development of the testis. The results indicate that endocrine disrupters, diethylstilbestrol (DES) and flutamide, are able to induce rapid steroidogenic changes in fetal rat testis under in vitro conditions. Although in utero exposure to these chemicals did not show overt effects in fetal testis, they can induce permanent changes in the developing testis and accessory sex organs later in life. We also reported that exposure to antiandrogens can interfere with testicular Dhh signalling and result in impaired differentiation of the fetal Leydig cells and subsequently lead to abnormal testicular development and sexual differentiation. In utero exposure to tetrachlorodibenzo-p-dioxin (TCDD) caused direct testicular and pituitary effects on the fetal male rat but with different dose responses. In a study in which the effects of developmental exposure to environmental antiandrogens, di-isononylphthalate and 1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene (p,p^’-DDE), on fetal male rat steroidogenesis were investigated, chemicals did not down-regulate testicular or adrenal steroid hormone synthesis or production in 19.5-day-old fetal rats. However, p,p^’-DDE-treatment caused clear histological and ultrastructural changes in the prenatal testis and adrenal gland. These structural alterations can disturb the development and function of fetal testis and adrenal gland that may become evident later in life. Exposure to endocrine disrupters during fetal life can cause morphological abnormalities and alter steroid hormone production by fetal rat Leydig cells and adrenocortical cells. These changes may contribute to the maldevelopment of the testis and the adrenal gland. The present study highlights the importance of the fetal period as a sensitive window for endocrine disruption.

ContinuousMultimodal Global Optimization with Differential Evolution-Based Methods

Metaheuristic methods have become increasingly popular approaches in solving global optimization problems. From a practical viewpoint, it is often desirable to perform multimodal optimization which, enables the search of more than one optimal solution to the task at hand. Population-based metaheuristic methods offer a natural basis for multimodal optimization. The topic has received increasing interest especially in the evolutionary computation community. Several niching approaches have been suggested to allow multimodal optimization using evolutionary algorithms. Most global optimization approaches, including metaheuristics, contain global and local search phases. The requirement to locate several optima sets additional requirements for the design of algorithms to be effective in both respects in the context of multimodal optimization. In this thesis, several different multimodal optimization algorithms are studied in regard to how their implementation in the global and local search phases affect their performance in different problems. The study concentrates especially on variations of the Differential Evolution algorithm and their capabilities in multimodal optimization. To separate the global and local search search phases, three multimodal optimization algorithms are proposed, two of which hybridize the Differential Evolution with a local search method. As the theoretical background behind the operation of metaheuristics is not generally thoroughly understood, the research relies heavily on experimental studies in finding out the properties of different approaches. To achieve reliable experimental information, the experimental environment must be carefully chosen to contain appropriate and adequately varying problems. The available selection of multimodal test problems is, however, rather limited, and no general framework exists. As a part of this thesis, such a framework for generating tunable test functions for evaluating different methods of multimodal optimization experimentally is provided and used for testing the algorithms. The results demonstrate that an efficient local phase is essential for creating efficient multimodal optimization algorithms. Adding a suitable global phase has the potential to boost the performance significantly, but the weak local phase may invalidate the advantages gained from the global phase.

Animadversiones in theoriam et experimenta ce[leberrimi] Du Tour de diffractione luminis

Arkit: 1 arkintunnukseton lehti, A4 C2.

Färgen

Soitinnus: piano.

Health Related Quality of Life after Childhood Cancer - A Finnish Nationwide survey

The purpose of this Finnish epidemiological nationwide cross-sectional study was to evaluate the Health Related Quality of Life (HRQL) of young people that have survived childhood cancer at least four years after cancer diagnosis. The study aims were (1) to increase knowledge and understanding about the relationship between childhood cancer and its treatment and HRQL of childhood cancer survivors and (2) to identify survivors who need and could benefit from ongoing long-term follow-up, as well as (3) to identify what kind of aftercare the childhood cancer survivors will possibly need. HRQL and fatigue of currently still young survivors of extracranial childhood malignancies were evaluated with self-reports and parent proxy reports. HRQL was measured with age-appropriate generic instruments: PedsQL™, SF-36, 15D, 16D and 17D. Fatigue for children and adolescents aged below 18 years was measured with the PedsQL™ Multidimensional Fatigue Scale Finnish version. PedsQL™ parent-proxy and the PedsQL™ Multidimensional Fatigue Scale Parentproxy instruments were used to assess the perception of the parents on HRQL and fatigue of their children and adolescents. Postal-survey questionnaires were mailed to 852 childhood cancer survivors aged 11-27 years and their randomly selected gender-, age and living-place matched controls, as well as under 18-year-old children´s parents. A total of 474 survivors, 595 controls, 209 survivor’s parent and 253 control’s parent replied. The mean age of survivors at the time of the study was 18.4 years. The mean length of survival was 12.3 years, and the mean age at diagnosis 5.5 years. The most of the Finnish childhood cancer survivors evaluated that their HRQL as good. Survivors rated their HRQL equal or higher than their controls. The only dimension where the survivors scored poorer than the controls was the 15D mobility dimension. Survivors of childhood cancer did not suffer from significant fatigue. There were subgroups of childhood cancer survivors who had poorer level of HRQL, and suffered from fatigue more than the reference group. The demographic factors that associated with poorer HRQL were female gender, greater weight, living alone, need of remedial education, an additional non-cancer diagnosis, survivors with siblings, and self-reported unhappiness. Disease-related factors that associated with poorer HRQL were higher age at the time of diagnosis, the diagnosis of Wilms tumor, neuroblastoma, or osteosarcoma, and treatment with stem cell transplantation. The factors associated with more fatigue in survivors were male gender, older age at evaluation, the need of remedial education at school, lower overall average grade in the latest school marks report, length of survival more than 10 years, lower HRQL-scores, and a sarcoma diagnosis. However, all the used demographic and disease related factors explained only about one third of the variation in the HRQL scores. In open questions, the survivors were most worried about their physical health, but were also worried about their mental health, cancer inheritance, late-effects, and fertility and relapse issues. It seems that there are subgroups of survivors who need and could benefit from ongoing long-term follow-up. In the future, the survivors of childhood cancer need more information about their physical and mental health, as well as on their cancer inheritance, possible late-effects including fertility issues, and on the risk of relapse.

Maatilan ympäristökäsikirja

Maatilan ympäristökäsikirjaan on koottu tietoa erilaisista maataloutta koskevista ympäristöteemoista sekä ehdotuksia käytännön toimista, joita tiloilla voi toteuttaa. Käsikirja on tarkoitettu viljelijöiden, alan neuvojien ja muiden maatalouden ympäristöasioista kiinnostuneiden käyttöön. Sen parina toimii Maatilan ympäristötesti, joka löytyy TEHO Plus -hankkeen sivuilta Internetistä. Ympäristötesti ja -käsikirja ovat laadittu ajankohtana, jolloin tulevan tukikauden sisältö ei ole vielä tiedossa ja nitraattiasetus ja ympäristönsuojelulainsäädäntö ovat muutosvaiheessa. Tämän takia sisällössä on pyritty ajattomuuteen. Maatilan ympäristökäsikirjan tekemiseen ovat osallistuneet sekä TEHO- että TEHO Plus -hankkeiden työntekijät ja heidän apunaan asiantuntijat Varsinais-Suomen ELY-keskuksesta ja eri neuvontajärjestöistä.

Generative Part-Based Gabor Object Detector

Object detection is a fundamental task of computer vision that is utilized as a core part in a number of industrial and scientific applications, for example, in robotics, where objects need to be correctly detected and localized prior to being grasped and manipulated. Existing object detectors vary in (i) the amount of supervision they need for training, (ii) the type of a learning method adopted (generative or discriminative) and (iii) the amount of spatial information used in the object model (model-free, using no spatial information in the object model, or model-based, with the explicit spatial model of an object). Although some existing methods report good performance in the detection of certain objects, the results tend to be application specific and no universal method has been found that clearly outperforms all others in all areas. This work proposes a novel generative part-based object detector. The generative learning procedure of the developed method allows learning from positive examples only. The detector is based on finding semantically meaningful parts of the object (i.e. a part detector) that can provide additional information to object location, for example, pose. The object class model, i.e. the appearance of the object parts and their spatial variance, constellation, is explicitly modelled in a fully probabilistic manner. The appearance is based on bio-inspired complex-valued Gabor features that are transformed to part probabilities by an unsupervised Gaussian Mixture Model (GMM). The proposed novel randomized GMM enables learning from only a few training examples. The probabilistic spatial model of the part configurations is constructed with a mixture of 2D Gaussians. The appearance of the parts of the object is learned in an object canonical space that removes geometric variations from the part appearance model. Robustness to pose variations is achieved by object pose quantization, which is more efficient than previously used scale and orientation shifts in the Gabor feature space. Performance of the resulting generative object detector is characterized by high recall with low precision, i.e. the generative detector produces large number of false positive detections. Thus a discriminative classifier is used to prune false positive candidate detections produced by the generative detector improving its precision while keeping high recall. Using only a small number of positive examples, the developed object detector performs comparably to state-of-the-art discriminative methods.