Regularisation, optimisation, subregularity

Regularisation theory in Banach spaces, and non-norm-squared regularisation even in finite dimensions, generally relies upon Bregman divergences to replace norm convergence. This is comparable to the extension of first-order optimisation methods to Banach spaces. Bregman divergences can, however, be somewhat suboptimal in terms of descriptiveness. Using the concept of (strong) metric subregularity, previously used to prove the fast local convergence of optimisation methods, we show norm convergence in Banach spaces and for non-norm-squared regularisation. For problems such as total variation regularised image reconstruction, the metric subregularity reduces to a geometric condition on the ground truth: flat areas in the ground truth have to compensate for the fidelity term not having second-order growth within the kernel of the forward operator. Our approach to proving such regularisation results is based on optimisation formulations of inverse problems. As a side result of the regularisation theory that we develop, we provide regularisation complexity results for optimisation methods: how many steps N-delta of the algorithm do we have to take for the approximate solutions to converge as the corruption level delta 0?Peer reviewe

Characteristics of Arctic low-tropospheric humidity inversions based on radio soundings

Humidity inversions have a high potential importance in the Arctic climate system, especially for cloud formation and maintenance, in wide spatial and temporal scales. Here we investigate the climatology and characteristics of humidity inversions in the Arctic, including their spatial and temporal variability, sensitivity to the methodology applied and differences from the Antarctic humidity inversions. The study is based on data of the Integrated Global Radiosonde Archive (IGRA) from 36 Arctic stations between the years 2000 and 2009. The results indicate that humidity inversions are present on multiple levels nearly all the time in the Arctic atmosphere. Almost half (48%) of the humidity inversions were found at least partly within the same vertical layer with temperature inversions, whereas the existence of the other half may, at least partly, be linked to uneven vertical distribution of horizontal moisture transport. A high atmospheric surface pressure was found to increase the humidity inversion occurrence, whereas relationships between humidity inversion properties and cloud cover were generally relatively weak, although for some inversion properties they were systematic. For example, humidity inversions occurred slightly more often and were deeper under clear sky than in overcast conditions for almost all stations. The statistics of Arctic humidity inversion properties, especially inversion strength, depth and base height, proved to be very sensitive to the instruments and methodology applied. For example, the median strength of the strongest inversion in a profile was twice as large as the median of all Arctic inversions. The most striking difference between the Arctic and Antarctic humidity inversions was the much larger range of the seasonal cycle of inversion properties in the Arctic. Our results offer a baseline for validation of weather prediction and climate models and also encourage further studies on humidity inversions due to the vital, but so far poorly understood, role of humidity inversions in Arctic cloud processes

Migration and Intra-Urban Residential Mobility in the Helsinki Metropolitan Area

This paper was contributed to IIASA's workshop on "Dynamics of Metropolitan Areas" in Rotterdam, June 1984. It contains an assessment of migration process in the Helsinki region and examines in particular age-dependent mobility of life-cycle type. As such it also provides a background to the study on housing dynamics in the Helsinki region

Ingrowth, survival and height growth of small trees in uneven-aged Picea abies stands in southern Finland

The purpose of the study was to analyse height growth, mortality, and ingrowth of individual small-sized trees in uneven-aged spruce-dominated stands. It was based on experimental data from 16 stands for a 15-year observation period including four measurements with a 5-year interval. In the data of this study, the heights of small-sized trees varied from 0.1 to about 9 m. Results showed that the growth of small trees was rather slow, particularly in the smallest size classes. With average growth rates it would take about 60 years for a freshly emerged spruce germinant to achieve 1.3 m in height. The stand density, site quality and selection cuttings affected the growth of small-sized spruces. Average five-year mortality rates for spruce, birch and pine were 17.0%, 40.9% and 33.9%, respectively. Annual ingrowth rates with the threshold height of 1.3 m for the three species were on average 30.4, 2.8 and less than 0.1 trees per hectare, respectively. Even if, a selection cutting of modest intensity (25% of basal area removed on average) seemed to have accelerated the growth of small spruces, it is recommended that more intensive harvestings be applied to enhance the survival and growth of small spruces. It is also concluded that shade intolerant species like birch and pine do not seem to be capable of developing into viable undergrowth in spruce selection stands with their current levels of stand density

Sensitivity of Small RNA-Based Detection of Plant Viruses

Plants recognize unrelated viruses by the antiviral defense system called RNA interference (RNAi). RNAi processes double-stranded viral RNA into small RNAs (sRNAs) of 21-24 nucleotides, the reassembly of which into longer strands in silico allows virus identification by comparison with the sequences available in databases. The aim of this study was to compare the virus detection sensitivity of sRNA-based virus diagnosis with the established virus species-specific polymerase chain reaction (PCR) approach. Viruses propagated in tobacco plants included three engineered, infectious clones of Potato virus A (PVA), each carrying a different marker gene, and an infectious clone of Potato virus Y (PVY). Total RNA (containing sRNA) was isolated and subjected to reverse-transcription real-time PCR (RT-RT-PCR) and sRNA deep-sequencing at different concentrations. RNA extracted from various crop plants was included in the reactions to normalize RNA concentrations. Targeted detection of selected viruses showed a similar threshold for the sRNA and reverse-transcription quantitative PCR (RT-qPCR) analyses. The detection limit for PVY and PVA by RT-qPCR in this study was 3 and 1.5 fg of viral RNA, respectively, in 50 ng of total RNA per PCR reaction. When knowledge was available about the viruses likely present in the samples, sRNA-based virus detection was 10 times more sensitive than RT-RT-PCR. The advantage of sRNA analysis is the detection of all tested viruses without the need for virus-specific primers or probes.Peer reviewe

Case study : Planting methods and beneficial substrate microbes effect on the growth of vegetated roof plants in Finland

Vegetated roofs, often called "green roofs", are popular and necessary in urban greening in densely populated areas. Well-functioning vegetated roofs can provide various ecosystem services to urban residents (e.g., stormwater management, air pollution mitigation, and aesthetic value). Plants essentially determine the actualization of the ecosystem services, thus finding effective ways to establish and maintain the roof plants is important. While greenhouse experiments can be better controlled than field experiments, it is critical to test whether results gained in the greenhouse hold in actual roof conditions. Therefore, we investigated the effects of microbial inoculant, plant species, planting method, and their interactions on plant growth and the beneficial microbes in the roof substrate at the initial establishment of vegetated roofs. The selected plants (i.e., Antennaria dioica, Campanula rotundifolia, Fragaria vesca, Geranium sanguineum, Lotus corniculatus, Thymus serpyllum, Trifolium repens, and Viola tricolor) were established using pre-grown vegetation mats, plug plants, and seeds, each with and without the co-inoculation with Rhizophagus irregularis and Bacillus amyloliquefaciens, two plant growth-promoting microbial species. Eventually, only F. vesca, T. serpyllum, T. repens, and V. tricolor were found successfully settled in either of the three planting methods. Dry aboveground plant biomass was measured to assess the effects of co-inoculation on plant growth. R. irregularis colonization level and B. amyloliquefaciens bacterial density were detected from root and substrate samples, respectively. The results indicated that co-inoculation with R. irregularis and B. amyloliquefaciens successfully colonized target plant species and significantly increased the initial growth of the vegetated roof plants by 18-292%. Additionally, the abundance of R. irregularis was affected by plant species (F. vesca > T. serpyllum > T. repens) and planting methods (seed > plug > mat), while the bacterial density of B. amyloliquefaciens was higher in T. repens roots than the other plant species, and was not affected by planning methods. The results suggest that co-inoculating R. irregularis and B. amyloliquefaciens at the installation phase of vegetated roofs could improve microbial settlement and colonization in the substrate, and consequently achieve synergistic effect on plant growth. The study also provides basis and reference for future vegetated roofs research.Peer reviewe

Explaining job satisfaction and job control: a survey among finnish psychiatrists

Background: Job satisfaction has a major impact on mental health and job performance. Additionally, expected work satisfaction may influence choice of specialization within medicine. Methods: A postal survey was conducted in 2009 among the members (N=1398) of Finnish Psychiatric Association. Out of the members 1132 were still working-aged. All in all 64.8% (N=738) of the working-aged members returned the survey. Only psychiatrists and residents were included in the final cohort of the study (N=665). Factors associated to work satisfaction were studied and a principal component analysis was conducted on factors reported to disturb working. The correlations of factors scores with job satisfaction and job-control were analyzed. Spearman correlation coefficients were calculated between factor scores and work satisfaction. Results: Most respondents (73.8%) were satisfied with their work. Job satisfaction showed a negative correlation with increase in pace of work (rho=-0.24, p&lt;0.001). Job control correlated positively with job satisfaction (rho=0.46, p&lt;0.001). &quot;Working conditions&quot; factor explained 28.6%, &quot;leadership&quot; 8.8%, &quot;failure without support&quot; 7.8%, fear at work 6.5% and &quot;patient records&quot; factors 5.9% of the variation of perceived harmful factors at work. &quot;Working conditions&quot; and &quot;leadership&quot; factors showed the strongest and most significant negative correlations with job satisfaction (rho= -0.45, p&lt;0.001, rho=-0.32, p&lt;0.001, respectively. &quot;Working conditions&quot; associated strongly and significantly with job control (rho=-0.57, p&lt;0.001). Conclusion: Job satisfaction may be better than expected among psychiatrists considering the findings of prevalence estimates of burnout in various other studies. However, employers should put emphasis on matching employers and type of work to promote well-being of their employees.</p

Development of FRET-based high-throughput screening for viral RNase III inhibitors

The class 1 ribonuclease III (RNase III) encoded by Sweet potato chlorotic stunt virus (CSR3) suppresses RNA silencing in plant cells and thereby counters the host antiviral response by cleaving host small interfering RNAs, which are indispensable components of the plant RNA interference (RNAi) pathway. The synergy between sweet potato chlorotic stunt virus and sweet potato feathery mottle virus can reduce crop yields by 90%. Inhibitors of CSR3 might prove efficacious to counter this viral threat, yet no screen has been carried out to identify such inhibitors. Here, we report a novel high-throughput screening (HTS) assay based on fluorescence resonance energy transfer (FRET) for identifying inhibitors of CSR3. For monitoring CSR3 activity via HTS, we used a small interfering RNA substrate that was labelled with a FRET-compatible dye. The optimized HTS assay yielded 109 potential inhibitors of CSR3 out of 6,620 compounds tested from different small-molecule libraries. The three best inhibitor candidates were validated with a dose-response assay. In addition, a parallel screen of the selected candidates was carried out for a similar class 1 RNase III enzyme from Escherichia coli (EcR3), and this screen yielded a different set of inhibitors. Thus, our results show that the CSR3 and EcR3 enzymes were inhibited by distinct types of molecules, indicating that this HTS assay could be widely applied in drug discovery of class 1 RNase III enzymes.Peer reviewe