Search results for "prosessi"

Prediction of leukocyte counts during paediatric acute lymphoblastic leukaemia maintenance therapy

2019

Maintenance chemotherapy with oral 6-mercaptopurine and methotrexate remains a cornerstone of modern therapy for acute lymphoblastic leukaemia. The dosage and intensity of therapy are based on surrogate markers such as peripheral blood leukocyte and neutrophil counts. Dosage based leukocyte count predictions could provide support for dosage decisions clinicians face trying to find and maintain an appropriate dosage for the individual patient. We present two Bayesian nonlinear state space models for predicting patient leukocyte counts during the maintenance therapy. The models simplify some aspects of previously proposed models but allow for some extra flexibility. Our second model is an ext…

Allometrically scaled explosive strength, but not static strength or maximal oxygen uptake is associated with better central processing time in young…

2020

BACKGROUND: We aimed to examine the associations of cardiorespiratory fitness (CRF), static strength and explosive strength with cognitive functions in young males. METHODS: Eighty-six young males (age 16-24 years) participated in the study and took part in a number of tests including: static strength (grip strength test), explosive strength (Sargent jump test), and CRF (via direct measure of maximal oxygen uptake (VO2max)). Static strength and explosive strength were scaled by allometrically modeled skeletal muscle mass (SMM) and height while VO2max was scaled by SMM and body mass (BM). Cognition was assessed by inhibitory control, simple and choice reaction time tasks using computerized C…

OnMLM: An Online Formulation for the Minimal Learning Machine

2019

Minimal Learning Machine (MLM) is a nonlinear learning algorithm designed to work on both classification and regression tasks. In its original formulation, MLM builds a linear mapping between distance matrices in the input and output spaces using the Ordinary Least Squares (OLS) algorithm. Although the OLS algorithm is a very efficient choice, when it comes to applications in big data and streams of data, online learning is more scalable and thus applicable. In that regard, our objective of this work is to propose an online version of the MLM. The Online Minimal Learning Machine (OnMLM), a new MLM-based formulation capable of online and incremental learning. The achievements of OnMLM in our…

Ortogonaalinen virheluokittelu

2010

Valkonen, Miikka Ortogonaalinen virheluokittelu / Miikka Valkonen Jyväskylä: Jyväskylän yliopisto, 2010. 29 s. Kandidaatintutkielma Tietojärjestelmien kehittäminen on yleensä ottaen kallista ja aikaa vievää. Kehitysprosessissa voi myös moni seikka epäonnistua, sekä sen eri vaiheisiin voi liittyä useita tehottomuustekijöitä. Siksi on tärkeää, että virheellisistä tai tehottomista työskentelytavoista otetaan opiksi seuraavia ohjelmistokehitysprojekteja varten. Ortogonaalinen virheluokittelu on työkalu ohjelmistokehitysprosessin tehostamiseksi. Ortogonaalinen virheluokittelu tarjoaa menetelmän ohjelmistokehitysprosessin puutteiden ja näistä aiheutuvien virheiden kirjaamiseen, sekä tavan analyso…

Evaluating a hierarchical approach to landscape level harvest scheduling

2018

Forest planning at the landscape level has the potential to become a large intractable problem. In Finland, Metsähallitus (the state enterprise that manages federally owned land) creates strategic plans to determine the appropriate harvest level. While these plans are feasible, they are not implementable in practice as the harvests are scattered temporally and spatially. Requiring that harvests be organized both temporally and spatially for practical implementation can result in an intractable problem. Through a hierarchical approach, the problem can be organized into steps in which the intractable problem is broken down into smaller easily solvable parts. As an approximation technique, the…

Process studies of organizational space

2020

The past decade has experienced an increase in the number of studies on organizational space or where work occurs. A number of these studies challenge traditional views of organizational space as a fixed, physical workspace because researchers fail to account for the spatial dynamics that they observe. New technologies, shifting employee-employer relations, and burgeoning expectations of the contemporary workforce blur boundaries between home and work, connect people and things that historically could not be linked, and extend workspaces to nearly everywhere, not just office buildings. Research on these transformations calls for incorporating movement into the physicality of work. Thus, org…

Data-driven analysis for fMRI during naturalistic music listening

2017

Interest towards higher ecological validity in functional magnetic resonance imaging (fMRI) experiments has been steadily growing since the turn of millennium. The trend is reflected in increasing amount of naturalistic experiments, where participants are exposed to the real-world complex stimulus and/or cognitive tasks such as watching movie, playing video games, or listening to music. Multifaceted stimuli forming parallel streams of input information, combined with reduced control over experimental variables introduces number of methodological challenges associated with isolating brain responses to individual events. This exploratory work demonstrated some of those methodological challeng…

Avaimet sähköiseen kaupankäyntiin : toimikortit osana julkisen avaimen infrastruktuuria

2002

Psykoterapiaprosessin keskeiset tekijät perheterapeuttien arvioitavina : Psychotherapy Process Q-set -menetelmän sovittaminen pariterapian tutkimiseen

2016

Tutkimuksessa selvitettiin Psychotherapy Process Q-set -menetelmän (PQS) ominaisuuksia ja sovellettavuutta pari- ja perheterapian näkökulmasta. Tarkastelu suoritettiin asiantuntija-arvioiden avulla kolmessa eri vaiheessa. Asiantuntijoina toimi joukko suomalaisia perheterapiakouluttajia. Ensimmäisessä vaiheessa asiantuntijat (n=8) arvioivat PQS:n kuvaamien yksilöpsykoterapiatekijöiden relevanssia pari- ja perheterapiassa. Toisessa vaiheessa asiantuntijat(n=10) arvioivat muokattujen PQS:n osioiden ja uusien pariterapiaosioiden merkitystä pariterapiaprosessin tutkimisessa. Kolmannessa vaiheessa käytettiin pientä asiantuntijaryhmää(n=5), jonka avulla etsittiin konsensusperiaatetta noudattaen sa…

Treed Gaussian Process Regression for Solving Offline Data-Driven Continuous Multiobjective Optimization Problems

2023

Abstract For offline data-driven multiobjective optimization problems (MOPs), no new data is available during the optimization process. Approximation models (or surrogates) are first built using the provided offline data and an optimizer, e.g. a multiobjective evolutionary algorithm, can then be utilized to find Pareto optimal solutions to the problem with surrogates as objective functions. In contrast to online data-driven MOPs, these surrogates cannot be updated with new data and, hence, the approximation accuracy cannot be improved by considering new data during the optimization process. Gaussian process regression (GPR) models are widely used as surrogates because of their ability to pr…