Visual impairment and multimorbidity in a representative sample of the Spanish population

BACKGROUND: In the context of population aging, visual impairment has emerged as a growing concern in public health. However, there is a need for further research into the relationship between visual impairment and chronic medical conditions in the elderly. The aim of our study was to examine the relationship between visual impairment and three main types of co-morbidity: chronic physical conditions (both at an independent and additive level), mental health and cognitive functioning. METHODS: Data were collected from the COURAGE in Europe project, a cross-sectional study. A total of 4,583 participants from Spain were included. Diagnosis of chronic medical conditions included self-reported medical diagnosis and symptomatic algorithms. Depression and anxiety were assessed using CIDI algorithms. Visual assessment included objective distance/near visual acuity and subjective visual performance. Descriptive analyses included the whole sample (n = 4,583). Statistical analyses included participants aged over 50 years (n = 3,625; mean age = 66.45 years) since they have a significant prevalence of chronic conditions and visual impairment. Crude and adjusted binary logistic regressions were performed to identify independent associations between visual impairment and chronic medical conditions, physical multimorbidity and mental conditions. Covariates included age, gender, marital status, education level, employment status and urbanicity. RESULTS: The number of chronic physical conditions was found to be associated with poorer results in both distance and near visual acuity [OR 1.75 (CI 1.38-2.23); OR 1.69 (CI 1.27-2.24)]. At an independent level, arthritis, stroke and diabetes were associated with poorer distance visual acuity results after adjusting for covariates [OR 1.79 (CI 1.46-2.21); OR 1.59 (CI 1.05-2.42); OR 1.27 (1.01-1.60)]. Only stroke was associated with near visual impairment [OR 3.01 (CI 1.86-4.87)]. With regard to mental health, poor subjective visual acuity was associated with depression [OR 1.61 (CI 1.14-2.27); OR 1.48 (CI 1.03-2.13)]. Both objective and subjective poor distance and near visual acuity were associated with worse cognitive functioning. CONCLUSIONS: Arthritis, stroke and the co-occurrence of various chronic physical diseases are associated with higher prevalence of visual impairment. Visual impairment is associated with higher prevalence of depression and poorer cognitive function results. There is a need to implement patient-centered care involving special visual assessment in these cases.

Espacio público: universidad, censura y política. Un ensayo visual

Lisbon, October 27, 2014, Dr. Jose Luis Cardoso director of the Institute of Social Sciences (ICS) at the University of Lisbon, has suspended the publication of the number 212 of the prestigious journal Análise Social. The reason: the number contains a visual essay produced by Ricardo Campos that is qualified to use a 'strong language'. While the online edition of the magazine was available (not try to find it at the site of the ICS) the printed edition was in printing machines. Now, the hard copies will be destroyed.

The Importance of Semantics: Visual World Studies on Drawing Inferences and Resolving Anaphors

The present thesis investigated the importance of semantics in generating inferences during discourse processing. Three aspects of semantics, gender stereotypes, implicit causality information and proto-role properties, were used to investigate whether semantics is activated elaboratively during discourse comprehension and what its relative importance is in backward inferencing compared to discourse/structural cues. Visual world eye-tracking studies revealed that semantics plays an important role in both backward and forward inferencing: Gender stereotypes and implicit causality information is activated elaboratively during online discourse comprehension. Moreover, gender stereotypes, implicit causality and proto-role properties of verbs are all used in backward inferencing. Importantly, the studies demonstrated that semantic cues are weighed against discourse/structural cues. When the structural cues consist of a combination of cues that have been independently shown to be important in backward inferencing, semantic effects may be masked, whereas when the structural cues consist of a combination of fewer prominent cues, semantics can have an earlier effect than structural factors in pronoun resolution. In addition, the type of inference matters, too: During anaphoric inferencing semantics has a prominent role, while discourse/structural salience attains more prominence during non-anaphoric inferencing. Finally, semantics exhibits a strong role in inviting new inferences to revise earlier made inferences even in the case the additional inference is not needed to establish coherence in discourse. The findings are generally in line with the Mental Model approaches. Two extended model versions are presented that incorporate the current findings into the earlier literature. These models allow both forward and backward inferencing to occur at any given moment during the course of processing; they also allow semantic and discourse/structural cues to contribute to both of these processes. However, while the Mental Model 1 does not assume interactions between semantic and discourse/structural factors in forward inferencing, the Mental Model 2 does assume such a link.

Advancing towards inclusive social research: visual methods as opportunities for people with severe mental illness to participate in research

This article explores the possibilities offered by visual methods in the move towards inclusive research, reviewing some methodological implications of said research and reflecting on the potential of visual methods to meet these methodological requirements. A study into the impact of work on social inclusion and the social relationships of people suffering from severe mental illness (SMI) serves to illustrate the use of visual methods such as photo elicitation and graphic elicitation in the context of in-depth interviews with the aim of improving the aforementioned target group’s participation in research, participation understood as one of the basic elements of inclusive approaches. On the basis of this study, we reflect on the potential of visual methods to improve the inclusive approach to research and conclude that these methods are open and flexible in awarding participantsa voice, allowingpeople with SMI to express their needs, and therefore adding value to said approach

Uma experiência didática de corrosão usando colorimetria visual

In this paper, a simple and rapid method of evaluating galvanized steel sheet corrosion in a CuSO4 solution, as an experimentation proposal for corrosion teaching. Galvanized steel corrosion is present in tanks and tubing by leading of natural or industrial waters which contain soluble copper compounds. This was the rationale for choosing the Cu2+ ions solution as an oxidizing agent. The method principle is based on visual colorimetry because the used oxidant has an intense blue color. Thus, a change in its concentration as a result of the corrosive process can be followed by a color intensity change in the solution thereby allowing evaluation of the corrosion rate.

Visual demonstration of the ionic strength effect in the classroom: the Debye-Hückel limiting law

The effects of ionic strength on ions in aqueous solutions are quite relevant, especially for biochemical systems, in which proteins and amino acids are involved. The teaching of this topic and more specifically, the Debye-Hückel limiting law, is central in chemistry undergraduate courses. In this work, we present a description of an experimental procedure based on the color change of aqueous solutions of bromocresol green (BCG), driven by addition of electrolyte. The contribution of charge product (z+|z-|) to the Debye-Hückel limiting law is demonstrated when the effects of NaCl and Na2SO4 on the color of BCG solutions are compared.

Demonstration Platform for Visual Quality Metrics

This thesis presents two graphical user interfaces for the project DigiQ - Fusion of Digital and Visual Print Quality, a project for computationally modeling the subjective human experience of print quality by measuring the image with certain metrics. After presenting the user interfaces, methods for reducing the computation time of several of the metrics and the image registration process required to compute the metrics, and details of their performance are given. The weighted sample method for the image registration process was able to signifigantly decrease the calculation times while resulting in some error. The random sampling method for the metrics greatly reduced calculation time while maintaining excellent accuracy, but worked with only two of the metrics.

Kuka suunnittelee mainokset? Tutkimus mainosalan kulisseista,yhteistyökäytännöistä ja ristiriidoista. Mainonnan suunnittelijan näkökulma

Tutkimus kuvaa tapahtumia mainonnan suunnittelun kulissien takana ja niiden vaikutusta suunnittelutyöhön mainonnan suunnittelijan näkökulmasta. Lähestymistapa on systeemiteoreettinen: tutkimuksessa tarkastellaan sekä mainostoimiston suunnittelijoiden, projektijohtajien ja muiden mainonnan suunnitteluun osallistuvien keskinäistä vuorovaikutusta että mainostoimiston ja mainoksia tilaavan asiakkaan vuorovaikutuksen asettamia rajoja ja mahdollisuuksia. Keskeinen työväline on Kurt Lewinin kentän käsite. Tutkimuksessa se konkretisoituu esitystavaksi mainonnan suunnittelun olennaisista piirteistä, jotka ovat toisistaan riippuvaisia. Tutkimusta pohjustaa ajatus mainonnan suunnittelun perusrakenteesta, joka on riippumaton taloudellisista, yhteiskunnallisista tai mainostoimialan liiketoimintaympäristön muutoksista. Mainostoimistossa työtä tehdään usein ryhmässä. Ydinryhmä muodostuu kirjoittavan ja visuaalisen suunnittelijan työparista, mutta projektijohtaja on avainasemassa hoitaessaan yhteydenpitoa mainostoimiston asiakkaaseen. Tutkimustyötä viitoittivat kysymykset mainonnan suunnittelijoiden tehtävästä ja asemasta, työssä koetuista haasteista sekä osuudesta ja vastuusta lopullisissa töissä. Keskiössä ovat suunnittelutyötä raamittavat haasteet, jotka ohjaavat suunnittelijoiden kykyjä ja haluja toteuttaa luovuuttaan. Tutkimus ammentaa teoreettisia aineksia työnjaon ja tiimityön käsitteiden ohella vallan tilanteisuudesta ja suhteista sekä sosiaalisen pääoman ja luottamuksen moniaineksisuudesta. Tutkimuksen aineisto kerättiin syksyllä 2008 ja alkuvuodesta 2009 haastattelemalla suomalaisten mainostoimistojen suunnittelijoita. Haastatteluaineisto koostuu kymmenestä ryhmähaastattelusta, johon kuhunkin osallistui 3–4 suunnittelijaa. Muu aineisto sisältää toimialan tilastoja ja julkaisuja sekä yksityisiä sähköpostikirjeenvaihtoja ja keskusteluja mainosammattilaisten kanssa. Haastatteluaineisto analysoitiin Milesin ja Hubermannin aineistolähtöisen sisällönanalyysin avulla ja sitä täydennettiin retorisella diskurssianalyysilla. Analyysin alkuvaiheessa koemetodina sovellettiin Straussin ja Corbinin aineistolähtöisen teorian (grounded theory) kolmivaiheista koodausta. Tutkimuksen tuloksena on malli mainonnan suunnittelun kentän jännitteistä, jotka johtavat toimimaan tietyllä tavalla. Mainonnan suunnittelijan tehtävinä näyttäytyvät vaikuttaminen, asiakkaan tarpeiden tunnistaminen ja tyydyttäminen sekä omakohtainen menestyminen. Suunnittelijan asema näyttää työssä koettujen haasteiden kautta häilyvän asiantuntijuuden ja alihankkijuuden välimaastossa. Työn henkilökohtaisina haasteina piirtyvät tarmokkuuden ja jatkuvan oivaltamisen vaateet. Ulkoisina tekijöinä talouden, teknologian ja sen myötä median murros sekä haastaa että kehittää: alituiseen kiireeseen näytetään verhoavan pulmia, joiden todellinen alkuperä paikantuu muualle. Keskeiset ristiriidat ja toiminnan edellytykset ilmenevät juuri yhteistyössä: mainostoimiston sisäinen yhteistyö ja asiakkaan antama palaute ovat merkittäviä tekijöitä luottamuksen taustalla. Siten avoin ja vastavuoroinen kommunikaatio piirtyy olennaiseksi asetettujen tavoitteiden saavuttamisessa ja asiakkaan menestymisessä. Mainonnan suunnittelussa tärkeäksi kysymykseksi nousevat portinvartijoiden roolit. Mainostoimiston sisäisessä työskentelyssä projektijohtajat hallinnoivat suunnitteluresursseja, välittävät tietoa asiak kaalta suunnittelijalle ja päinvastoin sekä tekevät tärkeimmät päätökset. Asiakkaan puolella mainoksia tilaava asiakashenkilö hallinnoi valjastamiaan resursseja, mutta varsinainen päätöksenteko tapahtuu tämän esimiehen toimesta. Tulosten valossa on perusteltua uskoa, että mainonnan suunnittelijat kokevat oman työnsä arvon alentuneen ja päätösvaltansa vähentyneen. Mainostoimialan murroksen kannalta tutkimus tuo esiin uudenlaisen tiimityön ymmärtämisen ja korostaa yksilöiden vahvuuksien tunnistamisen merkitystä. Kiristyvässä taloudessa se suuntaa huomion sekä mainostoimistojen että niiden asiakasyritysten sisäisten ja ulkoisten resurssien tehokkaaseen ja tuottavaan hyödyntämiseen ja organisoimiseen. Sosiologisesti tutkimus tarjoaa yhdenlaisen näkökulman ryhmätyön ulottuvuuksiin ja työelämän yhteistyöhaasteiden pohtimiseen. Siten tutkimuksen tuloksilla voi nähdä arvoa myös muiden kuin mainosalan yhteistyökäytäntöjentarkasteluun.

Learning Robot Motions from Visual Sensing

Learning from demonstration becomes increasingly popular as an efficient way of robot programming. Not only a scientific interest acts as an inspiration in this case but also the possibility of producing the machines that would find application in different areas of life: robots helping with daily routine at home, high performance automata in industries or friendly toys for children. One way to teach a robot to fulfill complex tasks is to start with simple training exercises, combining them to form more difficult behavior. The objective of the Master’s thesis work was to study robot programming with visual input. Dynamic movement primitives (DMPs) were chosen as a tool for motion learning and generation. Assuming a movement to be a spring system influenced by an external force, making this system move, DMPs represent the motion as a set of non-linear differential equations. During the experiments the properties of DMP, such as temporal and spacial invariance, were examined. The effect of the DMP parameters, including spring coefficient, damping factor, temporal scaling, on the trajectory generated were studied.

Computational visual quality of digitally printed images

The problem of understanding how humans perceive the quality of a reproduced image is of interest to researchers of many fields related to vision science and engineering: optics and material physics, image processing (compression and transfer), printing and media technology, and psychology. A measure for visual quality cannot be defined without ambiguity because it is ultimately the subjective opinion of an “end-user” observing the product. The purpose of this thesis is to devise computational methods to estimate the overall visual quality of prints, i.e. a numerical value that combines all the relevant attributes of the perceived image quality. The problem is limited to consider the perceived quality of printed photographs from the viewpoint of a consumer, and moreover, the study focuses only on digital printing methods, such as inkjet and electrophotography. The main contributions of this thesis are two novel methods to estimate the overall visual quality of prints. In the first method, the quality is computed as a visible difference between the reproduced image and the original digital (reference) image, which is assumed to have an ideal quality. The second method utilises instrumental print quality measures, such as colour densities, measured from printed technical test fields, and connects the instrumental measures to the overall quality via subjective attributes, i.e. attributes that directly contribute to the perceived quality, using a Bayesian network. Both approaches were evaluated and verified with real data, and shown to predict well the subjective evaluation results.

Comparison of Local Feature Detectors and Descriptors for Visual Object Categorization

Local features are used in many computer vision tasks including visual object categorization, content-based image retrieval and object recognition to mention a few. Local features are points, blobs or regions in images that are extracted using a local feature detector. To make use of extracted local features the localized interest points are described using a local feature descriptor. A descriptor histogram vector is a compact representation of an image and can be used for searching and matching images in databases. In this thesis the performance of local feature detectors and descriptors is evaluated for object class detection task. Features are extracted from image samples belonging to several object classes. Matching features are then searched using random image pairs of a same class. The goal of this thesis is to find out what are the best detector and descriptor methods for such task in terms of detector repeatability and descriptor matching rate.