Correcting Interdevice Bias of Horizontal White-to-White and Sulcus-to-Sulcus Measures Used for Implantable Collamer Lens Sizing.

PURPOSE: To assess the agreement and repeatability of horizontal white-to-white (WTW) and horizontal sulcus-to-sulcus (STS) diameter measurements and use these data in combination with available literature to correct for interdevice bias in preoperative implantable collamer lens (ICL) size selection. DESIGN: Interinstrument reliability and bias assessment study. METHODS: A total of 107 eyes from 56 patients assessed for ICL implantation at our institution were included in the study. This was a consecutive series of all patients with suitable available data. The agreement and bias between WTW (measured with the Pentacam and BioGraph devices) and STS (measured with the HiScan device) were estimated. RESULTS: The mean spherical equivalent was -8.93 ± 5.69 diopters. The BioGraph measures of WTW were wider than those taken with the Pentacam (bias = 0.26 mm, P < .01), and both horizontal WTW measures were wider than the horizontal STS measures (bias >0.91 mm, P < .01). The repeatability (Sr) of STS measured with the HiScan was 0.39 mm, which was significantly reduced (Sr = 0.15 mm) when the average of 2 measures was used. Agreement between the horizontal WTW measures and horizontal STS estimates when bias was accounted for was г = 0.54 with the Pentacam and г = 0.64 with the BioGraph. CONCLUSIONS: Large interdevice bias was observed for WTW and STS measures. STS measures demonstrated poor repeatability, but the average of repeated measures significantly improved repeatability. In order to conform to the US Food and Drug Administration's accepted guidelines for ICL sizing, clinicians should be aware of and account for the inconsistencies between devices.

Many valued algebraic structures as measures of comparison

This thesis studies the properties and usability of operators called t-norms, t-conorms, uninorms, as well as many valued implications and equivalences. Into these operators, weights and a generalized mean are embedded for aggregation, and they are used for comparison tasks and for this reason they are referred to as comparison measures. The thesis illustrates how these operators can be weighted with a differential evolution and aggregated with a generalized mean, and the kinds of measures of comparison that can be achieved from this procedure. New operators suitable for comparison measures are suggested. These operators are combination measures based on the use of t-norms and t-conorms, the generalized 3_-uninorm and pseudo equivalence measures based on S-type implications. The empirical part of this thesis demonstrates how these new comparison measures work in the field of classification, for example, in the classification of medical data. The second application area is from the field of sports medicine and it represents an expert system for defining an athlete's aerobic and anaerobic thresholds. The core of this thesis offers definitions for comparison measures and illustrates that there is no actual difference in the results achieved in comparison tasks, by the use of comparison measures based on distance, versus comparison measures based on many valued logical structures. The approach has been highly practical in this thesis and all usage of the measures has been validated mainly by practical testing. In general, many different types of operators suitable for comparison tasks have been presented in fuzzy logic literature and there has been little or no experimental work with these operators.

View-dependent information theory quality measures for pixel sampling and scene discretization in flatland

In this paper, we present view-dependent information theory quality measures for pixel sampling and scene discretization in flatland. The measures are based on a definition for the mutual information of a line, and have a purely geometrical basis. Several algorithms exploiting them are presented and compare well with an existing one based on depth differences

Informational Aesthetics Measures

The Birkhoff aesthetic measure of an object is the ratio between order and complexity. Informational aesthetics describes the interpretation of this measure from an information-theoretic perspective. From these ideas, the authors define a set of ratios based on information theory and Kolmogorov complexity that can help to quantify the aesthetic experience

Reward networks in the brain as captured by connectivity measures

An assortment of human behaviors is thought to be driven by rewards including reinforcement learning, novelty processing, learning, decision making, economic choice, incentive motivation, and addiction. In each case the ventral tegmental area/ventral striatum (nucleus accumbens) (VTAVS) system has been implicated as a key structure by functional imaging studies, mostly on the basis of standard, univariate analyses. Here we propose that standard functional magnetic resonance imaging analysis needs to be complemented by methods that take into account the differential connectivity of the VTAVS system in the different behavioral contexts in order to describe reward based processes more appropriately. We fi rst consider the wider network for reward processing as it emerged from animal experimentation. Subsequently, an example for a method to assess functional connectivity is given. Finally, we illustrate the usefulness of such analyses by examples regarding reward valuation, reward expectation and the role of reward in addiction.

Cross-country data on the quantity of schooling: a selective survey and some quality measures

We survey a number of papers that have focused on the construction of cross-country data sets on average years of schooling. We discuss the construction of the different series, compare their profiles and construct indicators of their information content. The discussion focuses on a sample of OECD countries but we also provide some results for a large non-OECD sample.

Governmental Measures to Enhance the Finnish Innovation System to Respond to the Challenge of Mitigating Climate Change

Climate innovations, that cover both technological applications and process and service innovations, play a key role in climate change mitigation. The purpose of this study was to examine how the Finnish innovation system could be enhanced with governmental measures so that the diffusion of climate innovations could be speeded up. During the study, it became evident that the governmental measures need to support the whole innovation chain, which comprises of research, development, demonstration and deployment. Only this can lead to the successful birth and diffusion of low carbon innovations. The study found that the strengths of the Finnish innovation system are research and development, and the current national innovation policies strongly support these activities. However, these have been emphasised at the expense of the demonstration and deployment. Consequently, the biggest bottlenecks in the Finnish innovation landscape are the lack of pilot and demonstration projects and slow commercialisation, thus the high price of the innovation. To meet with the challenge, the government should firstly promote strict greenhouse gas emission reduction targets. This would boost up the innovation activities, which would also lower the prices of the innovations. To speed up the commercialisation process, measures that stimulate the domestic market, such as feed-in-tariffs and public procurements, are needed. Special attention should also be paid to the measures that could shift the traditional closed innovation chain towards open innovation. This means that the product development should involve experts from several fields such as the user and marketing experts to speed up the commercialisation. In addition, efficient innovation co-operation between both private and public sector is essential. Finally, as the domestic resources are not adequate for producing all the innovations needed, the domestic innovation activities should be focused on a few sectors, and at the same time promote efficient import policies.

Comparison measures of maps generated by geostatistical methods

This study uses several measures derived from the error matrix for comparing two thematic maps generated with the same sample set. The reference map was generated with all the sample elements and the map set as the model was generated without the two points detected as influential by the analysis of local influence diagnostics. The data analyzed refer to the wheat productivity in an agricultural area of 13.55 ha considering a sampling grid of 50 x 50 m comprising 50 georeferenced sample elements. The comparison measures derived from the error matrix indicated that despite some similarity on the maps, they are different. The difference between the estimated production by the reference map and the actual production was of 350 kilograms. The same difference calculated with the mode map was of 50 kilograms, indicating that the study of influential points is of fundamental importance to obtain a more reliable estimative and use of measures obtained from the error matrix is a good option to make comparisons between thematic maps.

Feature selection using Fuzzy Entropy measures with Yu's Similarity measure

In this study, feature selection in classification based problems is highlighted. The role of feature selection methods is to select important features by discarding redundant and irrelevant features in the data set, we investigated this case by using fuzzy entropy measures. We developed fuzzy entropy based feature selection method using Yu's similarity and test this using similarity classifier. As the similarity classifier we used Yu's similarity, we tested our similarity on the real world data set which is dermatological data set. By performing feature selection based on fuzzy entropy measures before classification on our data set the empirical results were very promising, the highest classification accuracy of 98.83% was achieved when testing our similarity measure to the data set. The achieved results were then compared with some other results previously obtained using different similarity classifiers, the obtained results show better accuracy than the one achieved before. The used methods helped to reduce the dimensionality of the used data set, to speed up the computation time of a learning algorithm and therefore have simplified the classification task

Qualitative Characteristics and Quantitative Measures of Solution's Reliability in Discrete Optimization: Traditional Analytical Approaches, Innovative Computational Methods and Applicability

The purpose of this thesis is twofold. The first and major part is devoted to sensitivity analysis of various discrete optimization problems while the second part addresses methods applied for calculating measures of solution stability and solving multicriteria discrete optimization problems. Despite numerous approaches to stability analysis of discrete optimization problems two major directions can be single out: quantitative and qualitative. Qualitative sensitivity analysis is conducted for multicriteria discrete optimization problems with minisum, minimax and minimin partial criteria. The main results obtained here are necessary and sufficient conditions for different stability types of optimal solutions (or a set of optimal solutions) of the considered problems. Within the framework of quantitative direction various measures of solution stability are investigated. A formula for a quantitative characteristic called stability radius is obtained for the generalized equilibrium situation invariant to changes of game parameters in the case of the H¨older metric. Quality of the problem solution can also be described in terms of robustness analysis. In this work the concepts of accuracy and robustness tolerances are presented for a strategic game with a finite number of players where initial coefficients (costs) of linear payoff functions are subject to perturbations. Investigation of stability radius also aims to devise methods for its calculation. A new metaheuristic approach is derived for calculation of stability radius of an optimal solution to the shortest path problem. The main advantage of the developed method is that it can be potentially applicable for calculating stability radii of NP-hard problems. The last chapter of the thesis focuses on deriving innovative methods based on interactive optimization approach for solving multicriteria combinatorial optimization problems. The key idea of the proposed approach is to utilize a parameterized achievement scalarizing function for solution calculation and to direct interactive procedure by changing weighting coefficients of this function. In order to illustrate the introduced ideas a decision making process is simulated for three objective median location problem. The concepts, models, and ideas collected and analyzed in this thesis create a good and relevant grounds for developing more complicated and integrated models of postoptimal analysis and solving the most computationally challenging problems related to it.

Containment Measures in Adolescent Psychiatric Care - Focus on Mechanical Restrain

Rajoitetoimet, erityisesti sitominen, nuorisopsykiatrisessa hoitotyössä Tutkimuksen tavoitteena oli kuvata ja syventää tietoa rajoitetoimien, erityisesti sitomisen, käytöstä nuorisopsykiatrisessa vastentahtoisessa osastohoidossa. Tutkimuksen tavoitteena oli kuvata hoitajien, lääkäreiden ja potilaiden asenteita eri rajoittamiskeinoja kohtaan nuorisopsykiatrisessa osastohoidossa, kerätä tietoa yhden vuoden aikana tapahtuneiden sitomisten määrästä ja luonteesta sekä kuvata potilaiden kokemuksia sitomisesta nuorisopsykiatrisen osastohoidon aikana. Tutkimus tuottaa arvokasta tietoa korkeatasoisten sitomiskäytäntöjen kehittämiseen nuorisopsykiatrisessa osastohoidossa, sekä sitomisten määrää vähentämällä että sitomistapoja kehittämällä. Tavoitteena on parantaa sidottujen potilaiden kliinistä hoitoa. Tutkimusaineisto kerättiin suomalaisilla, pääkaupunkiseudulle sijoittuvilla, nuorisopsykiatrisilla osastoilla neljässä vaiheessa lokakuun 2009 ja huhtikuun 2012 välisenä aikana. Helsingin ja Uudenmaan sairaanhoitopiirin (HUS) nuorisopsykiatrian erikoisalan seitsemän suljetun osaston hoitohenkilökunta sekä lääkärit suhtautuivat myönteisesti rajoittamistoimenpiteisiin. Nuorisopsykiatriset potilaat suhtautuivat rajoittamistoimenpiteisiin kriittisemmin kuin henkilökunta. Nuoret suhtautuivat myönteisimmin tarvittaessa annettavaan lääkitykseen, ajoittaiseen tarkkailuun ja kulun rajoittamiseen. Vähiten hyväksytty menetelmä oli verkkosänky. Nuoret arvioivat sitomisen kolmen vähiten hyväksytyn menetelmän joukkoon. Sitomisen esiintyvyys ja pitkien sitomisten määrä olivat korkeita tutkimukseen valituissa yksiköissä. Useimmat sidotut nuoret tiesivät syyn sitomiseensa, suhtautuivat siihen ambivalentisti nähden siinä sekä hyötyä että haittaa, pitäen sitä kuitenkin rangaistuksena. Huolimatta tästä, suurin osa haastatelluista nuorista koki, että joissain tilanteissa sitomista tarvitaan nuorisopsykiatrisessa osastohoidossa. Nuorilla oli monia ehdotuksia, kuinka parantaa sitomista käytännön osastohoidossa. Tämä väitöskirja tuottaa uutta tietoa eri rajoittamistoimenpiteiden ja sitomisen toteuttamisesta nuorisopsykiatrisessa osastohoidossa. Käytännön hoitotyön parantamiseksi nuorisopsykiatrisilla osastoilla tarvitaan laaja-alaista ja syvälle luotaavaa koulutusta, jotta rajoittamis-toimenpiteiden määrää voidaan vähentää. Myös kriisitilanteiden hallintaan tarvitaan uusia keinoja. Tietoa, kuvausta toimenpiteistä ja tilanteiden käsittelyä jälkikäteen tulee tarjota ala-ikäiselle potilaalle hänen kehitystasonsa huomioiden. Sitomisten määrää tulee vähentää ja niiden kestoa lyhentää. Nuorten tulee olla aktiivisesti mukana kehittämässä aggression hallintamenetelmiä suomalaisessa nuorisopsykiatrisessa osastohoidossa.

Risk management measures for REACH registered intermediate substances in pulp mill

Tämän työn tavoitteena on antaa kuvaus riskinhallintamenetelmistä viidelle välituotekemikaalille, joita käytetään Stora Enson Imatran tehtailla. Välituotekemikaalit ovat mustalipeä, viherlipeä, valkolipeä, natriumbisulfiitti ja natriumsulfiitti. Nämä kemikaalit ovat jo rekisteröityjä ECHA:an ja rekisteröintiin liittyen ECHA:an on toimitettava myös kuvaus riskinhallintamenetelmistä. Työn alussa kuvaillaan työn kannalta olennaiset säädökset ja viranomaiset, jotka valvovat kemikaalien käyttöä ja valmistusta Euroopan Unionin alueella. Tämän jälkeen kerrotaan yleisesti välituotekemikaalien rekisteröintikriteereistä. Työn loppuosa käsittää kuvauksen riskinhallintamenetelmistä jokaiselle kemikaalille. Riskinhallintamenetelmät sisältävät eristyksen teknisin keinoin, menettelytapa- ja valvontatekniikat, johtamistavat ja henkilökunnan koulutuksen ja välituotekemikaalien kuljetuksen. Myös jokaisen kemikaalin ominaisuudet on kuvattu ja lyhyt prosessikuvaus kemikaalien valmistuksesta ja käytöstä on esitetty helpottamaan ymmärtämistä.