A5033197921- Species Distribution and Climate Change
- Fish Ecology and Management Studies
- Industrial Vision Systems and Defect Detection
- Identification and Quantification in Food
- Digital Imaging for Blood Diseases
- Material Properties and Processing
- Water Quality Monitoring Technologies
- Textile materials and evaluations
- Optical measurement and interference techniques
- Cognitive and developmental aspects of mathematical skills
- Economic and Environmental Valuation
- Advanced Cellulose Research Studies
- Isotope Analysis in Ecology
- Soil and Water Nutrient Dynamics
- Freshwater macroinvertebrate diversity and ecology
- Point processes and geometric inequalities
- Physical Activity and Health
- Ecology and Vegetation Dynamics Studies
- Neuroscience and Music Perception
- Reading and Literacy Development
- Genomics and Phylogenetic Studies
- Survey Sampling and Estimation Techniques
- Environmental Science and Water Management
- Food composition and properties
- Optical Coherence Tomography Applications
University of Jyväskylä
2013-2024
Ecological Society of America
2018
John Wiley & Sons (United States)
2018
Information Technology University
2014
Abstract Specific language impairment (SLI) is a developmental disorder linked to deficient auditory processing. In this magnetoencephalography (MEG) study we investigated specific prolonged response (N250m) that has been reported predominantly in children and associated with level of skills. We recorded responses evoked by sine-wave tones presented alternately the right left ear 9–10-year-old SLI (n = 10) typical development 10). Source analysis was used isolate N250m hemisphere....
Purpose Precise measures of energy expenditure (EE) during everyday activities are needed. This study assessed the validity novel shorts measuring EMG and compared this method with HR accelerometry (ACC) when estimating EE. Methods Fifty-four volunteers (39.4 ± 13.9 yr) performed a maximal treadmill test (3-min loads) including walking different speeds uphill, downhill, on level ground one running load. The data were categorized into all, low, loads. EE was measured by indirect calorimetry,...
Uncertainty in the information obtained through monitoring complicates decision making about aquatic ecosystems management actions. We suggest value of (VOI) to assess profitability paying for additional information, when taking into account costs and benefits actions, as well associated uncertainty. Estimating monetary ecosystem needed deriving VOI is challenging. Therefore, instead considering a single value, we evaluate sensitivity varying value. also extend analysis more realistic...
Macroinvertebrate samples are commonly used in biomonitoring to study changes on aquatic ecosystems. Traditionally, specimens identified manually taxa by human experts being time‐consuming and cost intensive. Using the image data of 35 64 features, we propose a novel variant quadratic discriminant analysis for breaking curse dimensionality models. Our variant, called random Bayes array (RBA), uses bagging feature selection similar forest. We explore several variations RBA. consider three...
Methods are introduced for analysing the shape and orientation of planar fibres from greyscale images fibrous systems. The sequence image processing techniques needed segmentation is described. identified were interpreted as deformed line segments which two parameters estimated by maximum likelihood method. methods shown to perform quite well simulated systems with known properties. They applied TEM carbon nanotubes embedded in polycarbonate.
We apply and compare a random Bayes forest classifier three traditional classification methods to dataset of complex benthic macroinvertebrate images known taxonomical identity. Since in biomonitoring changes taxa proportions correspond water quality, their correct estimation is pivotal. As errors are passed on the allocated proportions, we explore correction method as confusion matrix correction. Classification were compared using misclassification error χ <sup...
Abstract We introduce a Bayesian stable isotope mixing model for estimating the relative contributions of different dietary components to tissues consumers within food webs. The is implemented with probabilistic programming language Stan. incorporates isotopes multiple elements (e.g. C, N, H) two trophic levels, when structure web known. In addition, allows inclusion latent levels (i.e. which no empirical data are available) intermediate between sources and measured consumers. Running in...
Objective.Heart rate (HR) monitoring provides a convenient and inexpensive way to predict energy expenditure (EE) during physical activity. However, there is lot of variation among individuals in the EE-HR relationship, which should be taken into account predictions. The objective develop model that allows prediction EE based on HR as accurately possible an improvement using calibration measurements from target individual.Approach.We propose nonlinear (logistic) mixed for approach calibrate...
In this paper, estimation of fibre orientation is studied for systems observable as a blurred greyscale image. The method based on scaled variograms observed along set sampling lines in different directions. parameters the distribution are obtained numerically. Simulated data used to study statistical properties method.
The orientational characteristics of fibres in digital images are studied. modelled by a planar Boolean model whose typical grain is thick (coloured) fibre. aim to make stereological inference on the rose directions unobservable central from observations made image fibres. For fibres, relation between and point intensity, observed sampling line, known. We derive, under regularity conditions, intensity scaled variogram line binary greyscale image. Using such relation, it possible draw about...
The ecological assessment of freshwaters is currently primarily based on biological communities and the reference condition approach (RCA). In RCA, in streams lakes disturbed by humans are compared with conditions no or minimal anthropogenic influence. favored rationale using selected community metrics for which expected values (E) each site typically estimated from environmental variables a predictive model data. proportional differences between observed (O) E then derived, decision rules...
In their decision-making, municipalities increasingly face the challenge of creating value through transfer knowledge resources. While local decision-makers are responsible for sport-related a much-debated question is whether acquired and utilised throughout decision-making hierarchy. Building on Max Weber's bureaucratic notions rational-legal authority other research, it hypothesised that group-based leadership has crucial function in acquisition utilisation among decision-makers. Drawing...
Abstract The problem of subsample selection among an enormous number combinations arises when some covariates are available for all units, but the response can be measured only a subset them. When estimating Bayesian prediction model, optimized selections more efficient than random sampling. work is motivated by environmental management aquatic systems. We consider data on 4360 Finnish lakes and aim to find approximately optimal in sense D-optimality. study two-stage where choice at second...
A novel estimator for estimating the mean length of fibres is proposed censored data observed in square shaped windows. Instead observing fibre lengths, we observe ratio between intensity estimates minus-sampling and plus-sampling. It well-known that both estimators are biased. In current work, derive these biases as a function assuming Boolean line segment model with exponentially distributed lengths uniformly directions. Having estimators, inverse derived suggested new length. For this...