A Comparative Study of Desktop, Fishtank, and Cave Systems for the Exploration of Volume Rendered Confocal Data Sets

We present a participant study that compares biological data exploration tasks using volume renderings of laser confocal microscopy data across three environments that vary in level of immersion: a desktop, fishtank, and cave system. For the tasks, data, and visualization approach used in our study, we found that subjects qualitatively preferred and quantitatively performed better in the cave compared with the fishtank and desktop. Subjects performed real-world biological data analysis tasks that emphasized understanding spatial relationships including characterizing the general features in a volume, identifying colocated features, and reporting geometric relationships such as whether clusters of cells were coplanar. After analyzing data in each environment, subjects were asked to choose which environment they wanted to analyze additional data sets in - subjects uniformly selected the cave environment.

Numbers and sets

In this paper I discuss the intuition behind Frege's and Russell's definitions of numbers as sets, as well as Benacerraf's criticism of it. I argue that Benacerraf's argument is not as strong as some philosophers tend to think. Moreover, I examine an alternative to the Fregean-Russellian definition of numbers proposed by Maddy, and point out some problems faced by it.

Uskoton ja petollinen Julia

äänitetty 25.10.1928, [New York].

Rotuun, etnisyyteen, luokkaan ja sukupuoleen kytkeytyvät valtasuhteet ja niiden problematisointi Julia Alvarezin romaanissa How the García Girls Lost Their Accents

Pro gradu -tutkielmani käsittelee valtasuhteita rotuun, etnisyyteen, luokkaan ja sukupuoleen kytkeytyvinä historiallisina verkostoina ja niiden vaikutuksia ihmisten elämään. Tutkielman kohdetekstinä on dominikaanilaisamerikkalaisen kirjailijan Julia Alvarezin (s. 1950) esikoisromaani How the García Girls Lost Their Accents (1991). Alvarezin romaani on omaelämäkerrallinen, ja se perustuu osittain historiallisiin tositapahtumiin. Tutkimusotteeni on kontekstualisoiva; teos asetetaan osaksi laajempia historiallisia tapahtumia ja niiden muodostamia valtahierarkioita. Teos sijoittuu päähenkilöiden kotimaan, Dominikaanisen tasavallan, lisäksi Yhdysvaltoihin, jonne Garcían perheen isä, äiti ja neljä tytärtä pakenevat diktaattori Trujillon tyranniaa 1960-luvulla. Tutkimukseni teoreettinen viitekehys nojaa postkoloniaaliseen ja feministiseen kirjallisuudentutkimukseen, joiden pyrkimyksenä on hegemonisten rakenteiden purkaminen. Valtasuhteiden dekonstruktiivisen paljastamisen avulla tuotettuja ja väärinkerrottuja historioita ja ruumiita kirjoitetaan uudelleen. Pohdin Alvarezin esikoisromaanin valtasuhteita esimerkiksi Michel Foucault’n vallan teoriaa hyödyntäen, mutta liitän analyysiin myös feminististä teoriaa etenkin Judith Butlerin ajatusten avulla. Tarkastelen työssäni romaanin henkilöhahmojen elämää ja identiteettien muodostumista rotuun, etnisyyteen, luokkaan ja sukupuoleen kytkeytyvän problemaattisen valtajaon näkökulmasta, jolla on juuri Karibian alueella vahvat historialliset erityispiirteensä kolonialismin sekä sen jälkivaikutusten runtelemana alueena. Työssäni tutkitaan muun muassa kolonialismin ja siirtolaisuuden diskursseissa päähenkilöiden elämään vaikuttavia valtasuhteita, ja etenkin kulttuuristen ja seksuaalisten identiteettien muodostumista marginalisoiduilla raja-alueilla. Osoitan, kuinka teoksesta käyvät ilmi erilaisten mutkikkaiden rotuun, etnisyyteen, luokkaan ja sukupuoleen liittyvien valtasuhteiden vaikutukset etenkin naisten elämään ja identiteetteihin. Mielestäni Alvarez tuo kerronnallaan ilmi valtasuhteiden kontekstisidonnaisuutta ja samalla niiden mielivaltaista ja rakenteellista luonnetta. Valta ja vallitsevat kaksijakoiset valtajärjestykset ovat tuotettuja ja toimivat yleensä poliittisesti jonkin ryhmän hyväksi toisia ryhmiä sortaen. Keskeinen tutkimustulos on, että Alvarezin teoksessa usein implisiittisesti kuvatut, kauas historiaan kytköksissä olevat valtasuhteet vaikuttavat monin tavoin teoksen päähenkilöiden elämään ja identiteettien muodostumiseen.

Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets

The goal of this study was to develop a fuzzy model to predict the occupancy rate of free-stalls facilities of dairy cattle, aiding to optimize the design of projects. The following input variables were defined for the development of the fuzzy system: dry bulb temperature (Tdb, °C), wet bulb temperature (Twb, °C) and black globe temperature (Tbg, °C). Based on the input variables, the fuzzy system predicts the occupancy rate (OR, %) of dairy cattle in free-stall barns. For the model validation, data collecting were conducted on the facilities of the Intensive System of Milk Production (SIPL), in the Dairy Cattle National Research Center (CNPGL) of Embrapa. The OR values, estimated by the fuzzy system, presented values of average standard deviation of 3.93%, indicating low rate of errors in the simulation. Simulated and measured results were statistically equal (P>0.05, t Test). After validating the proposed model, the average percentage of correct answers for the simulated data was 89.7%. Therefore, the fuzzy system developed for the occupancy rate prediction of free-stalls facilities for dairy cattle allowed a realistic prediction of stalls occupancy rate, allowing the planning and design of free-stall barns.

Montague ja Capulet, Julian hauta, Tyttöjen tanssi baletista Romeo ja Julia

Soitinnus: orkesteri.

Clinical signs of pneumonia in children: association with and prediction of diagnosis by fuzzy sets theory

The present study compares the performance of stochastic and fuzzy models for the analysis of the relationship between clinical signs and diagnosis. Data obtained for 153 children concerning diagnosis (pneumonia, other non-pneumonia diseases, absence of disease) and seven clinical signs were divided into two samples, one for analysis and other for validation. The former was used to derive relations by multi-discriminant analysis (MDA) and by fuzzy max-min compositions (fuzzy), and the latter was used to assess the predictions drawn from each type of relation. MDA and fuzzy were closely similar in terms of prediction, with correct allocation of 75.7 to 78.3% of patients in the validation sample, and displaying only a single instance of disagreement: a patient with low level of toxemia was mistaken as not diseased by MDA and correctly taken as somehow ill by fuzzy. Concerning relations, each method provided different information, each revealing different aspects of the relations between clinical signs and diagnoses. Both methods agreed on pointing X-ray, dyspnea, and auscultation as better related with pneumonia, but only fuzzy was able to detect relations of heart rate, body temperature, toxemia and respiratory rate with pneumonia. Moreover, only fuzzy was able to detect a relationship between heart rate and absence of disease, which allowed the detection of six malnourished children whose diagnoses as healthy are, indeed, disputable. The conclusion is that even though fuzzy sets theory might not improve prediction, it certainly does enhance clinical knowledge since it detects relationships not visible to stochastic models.

Selection of patients for myocardial perfusion scintigraphy based on fuzzy sets theory applied to clinical-epidemiological data and treadmill test results

Coronary artery disease (CAD) is a worldwide leading cause of death. The standard method for evaluating critical partial occlusions is coronary arteriography, a catheterization technique which is invasive, time consuming, and costly. There are noninvasive approaches for the early detection of CAD. The basis for the noninvasive diagnosis of CAD has been laid in a sequential analysis of the risk factors, and the results of the treadmill test and myocardial perfusion scintigraphy (MPS). Many investigators have demonstrated that the diagnostic applications of MPS are appropriate for patients who have an intermediate likelihood of disease. Although this information is useful, it is only partially utilized in clinical practice due to the difficulty to properly classify the patients. Since the seminal work of Lotfi Zadeh, fuzzy logic has been applied in numerous areas. In the present study, we proposed and tested a model to select patients for MPS based on fuzzy sets theory. A group of 1053 patients was used to develop the model and another group of 1045 patients was used to test it. Receiver operating characteristic curves were used to compare the performance of the fuzzy model against expert physician opinions, and showed that the performance of the fuzzy model was equal or superior to that of the physicians. Therefore, we conclude that the fuzzy model could be a useful tool to assist the general practitioner in the selection of patients for MPS.

Publication Statistics Sets of slides, transparents and microfiche 1991-

Vapaakappalekartuntaan perustuva tilasto Suomessa julkaistuista dia-, kalvo- ja filmikorttisarjoista vuodesta 1991 lähtien

Improving the Scalability of Reduct Determination in Rough Sets

Rough Set Data Analysis (RSDA) is a non-invasive data analysis approach that solely relies on the data to find patterns and decision rules. Despite its noninvasive approach and ability to generate human readable rules, classical RSDA has not been successfully used in commercial data mining and rule generating engines. The reason is its scalability. Classical RSDA slows down a great deal with the larger data sets and takes much longer times to generate the rules. This research is aimed to address the issue of scalability in rough sets by improving the performance of the attribute reduction step of the classical RSDA - which is the root cause of its slow performance. We propose to move the entire attribute reduction process into the database. We defined a new schema to store the initial data set. We then defined SOL queries on this new schema to find the attribute reducts correctly and faster than the traditional RSDA approach. We tested our technique on two typical data sets and compared our results with the traditional RSDA approach for attribute reduction. In the end we also highlighted some of the issues with our proposed approach which could lead to future research.